champion666/SparseTable_Bench_Dataset
090
1{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>ORP (n = 9)</b></td><td><b>RALP (n = 24)</b></td><td><b>Total (n = 33)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>60 (7)</td><td>63 (6)</td><td>62 (6)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.76 (0.07)</td><td>1.75 (0.05)</td><td>1.75 (0.06)</td></tr><tr><td>[EMPTY_CELL]</td><td>92 (12)</td><td>83 (10)</td><td>86 (11)</td></tr><tr><td>[EMPTY_CELL]</td><td>29.6 (4.5)</td><td>27.3 (3.0)</td><td>27.9 (3.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5.8 (4.2)</td><td>5.0 (2.1)</td><td>5.2 (2.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1 (11%)</td><td>5 (21%)</td><td>6 (18%)</td></tr><tr><td>[EMPTY_CELL]</td><td>5 (56%)</td><td>16 (67%)</td><td>21 (64%)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (33%)</td><td>2 (9%)</td><td>5 (15%)</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0%)</td><td>1 (4%)</td><td>1 (3%)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (44%)</td><td>13 (54%)</td><td>17 (52%)</td></tr><tr><td>[EMPTY_CELL]</td><td>5 (56%)</td><td>11 (46%)</td><td>16 (48%)</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0%)</td><td>0 (0%)</td><td>0 (0%)</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0%)</td><td>0 (0%)</td><td>0 (0%)</td></tr><tr><td>[EMPTY_CELL]</td><td>40.2 (13.4)</td><td>41.2 (12.5)</td><td>40.9 (12.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (33%)</td><td>3 (13%)</td><td>6 (18%)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (22%)</td><td>2 (9%)</td><td>4 (12%)</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (44%)</td><td>19 (79%)</td><td>23 (70%)</td></tr><tr><td>[EMPTY_CELL]</td><td>7 (78%)</td><td>2 (9%)<sup>a</sup></td><td>9 (27%)</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0%)</td><td>23 (96%)<sup>a</sup></td><td>23 (70%)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1 (11%)</td><td>3 (13%)</td><td>4 (12%)</td></tr><tr><td>[EMPTY_CELL]</td><td>6 (67%)</td><td>16 (67%)</td><td>22 (67%)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (22%)</td><td>5 (21%)</td><td>7 (21%)</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0%)</td><td>0 (0%)</td><td>0 (0%)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>6 (67%)</td><td>18 (75%)</td><td>24 (73%)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (33%)</td><td>6 (25%)</td><td>9 (27%)</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0%)</td><td>0 (0%)</td><td>0 (0%)</td></tr><tr><td>[EMPTY_CELL]</td><td>1/7 (14%)</td><td>0/2 (0%)</td><td>1/9 (11%)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (22%)</td><td>2 (9%)</td><td>4 (12%)</td></tr><tr><td>[EMPTY_CELL]</td><td>2.9 (0.3)</td><td>2.0 (0.2)<sup>a</sup></td><td>2.3 (0.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>10.2 (3.0)</td><td>8.4 (1.6)</td><td>8.9 (2.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0%)</td><td>1 (4%)</td><td>1 (3%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ORP (n = 9)</b>\", \"bbox\": [212, 4, 253, 13]}, {\"cell\": \"<b>RALP (n = 24)</b>\", \"bbox\": [321, 4, 369, 13]}, {\"cell\": \"<b>Total (n = 33)</b>\", \"bbox\": [436, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 70, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 31, 36, 41]}, {\"cell\": \"60 (7)\", \"bbox\": [212, 31, 232, 41]}, {\"cell\": \"63 (6)\", \"bbox\": [321, 31, 341, 41]}, {\"cell\": \"62 (6)\", \"bbox\": [436, 31, 456, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 45, 45, 55]}, {\"cell\": \"1.76 (0.07)\", \"bbox\": [212, 45, 247, 55]}, {\"cell\": \"1.75 (0.05)\", \"bbox\": [321, 45, 355, 55]}, {\"cell\": \"1.75 (0.06)\", \"bbox\": [436, 45, 470, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 59, 48, 69]}, {\"cell\": \"92 (12)\", \"bbox\": [212, 59, 236, 69]}, {\"cell\": \"83 (10)\", \"bbox\": [321, 59, 344, 69]}, {\"cell\": \"86 (11)\", \"bbox\": [436, 59, 460, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 71, 49, 83]}, {\"cell\": \"29.6 (4.5)\", \"bbox\": [212, 73, 243, 83]}, {\"cell\": \"27.3 (3.0)\", \"bbox\": [321, 73, 351, 83]}, {\"cell\": \"27.9 (3.6)\", \"bbox\": [436, 73, 467, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 66, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 43, 111]}, {\"cell\": \"5.8 (4.2)\", \"bbox\": [212, 101, 239, 111]}, {\"cell\": \"5.0 (2.1)\", \"bbox\": [321, 101, 347, 111]}, {\"cell\": \"5.2 (2.8)\", \"bbox\": [436, 101, 463, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 89, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 129, 26, 139]}, {\"cell\": \"1 (11%)\", \"bbox\": [212, 129, 238, 139]}, {\"cell\": \"5 (21%)\", \"bbox\": [321, 129, 346, 139]}, {\"cell\": \"6 (18%)\", \"bbox\": [436, 129, 462, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 143, 26, 153]}, {\"cell\": \"5 (56%)\", \"bbox\": [212, 143, 238, 153]}, {\"cell\": \"16 (67%)\", \"bbox\": [321, 143, 350, 153]}, {\"cell\": \"21 (64%)\", \"bbox\": [436, 143, 466, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 157, 26, 167]}, {\"cell\": \"3 (33%)\", \"bbox\": [212, 157, 238, 167]}, {\"cell\": \"2 (9%)\", \"bbox\": [321, 157, 343, 167]}, {\"cell\": \"5 (15%)\", \"bbox\": [436, 157, 462, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 171, 26, 181]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 171, 234, 181]}, {\"cell\": \"1 (4%)\", \"bbox\": [321, 171, 343, 181]}, {\"cell\": \"1 (3%)\", \"bbox\": [436, 171, 458, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 71, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 199, 21, 209]}, {\"cell\": \"4 (44%)\", \"bbox\": [212, 199, 238, 209]}, {\"cell\": \"13 (54%)\", \"bbox\": [321, 199, 350, 209]}, {\"cell\": \"17 (52%)\", \"bbox\": [436, 199, 466, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 213, 21, 223]}, {\"cell\": \"5 (56%)\", \"bbox\": [212, 213, 238, 223]}, {\"cell\": \"11 (46%)\", \"bbox\": [321, 213, 350, 223]}, {\"cell\": \"16 (48%)\", \"bbox\": [436, 213, 466, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 227, 21, 237]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 227, 234, 237]}, {\"cell\": \"0 (0%)\", \"bbox\": [321, 227, 343, 237]}, {\"cell\": \"0 (0%)\", \"bbox\": [436, 227, 458, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 241, 21, 251]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 241, 234, 251]}, {\"cell\": \"0 (0%)\", \"bbox\": [321, 241, 343, 251]}, {\"cell\": \"0 (0%)\", \"bbox\": [436, 241, 458, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 68, 265]}, {\"cell\": \"40.2 (13.4)\", \"bbox\": [212, 255, 247, 265]}, {\"cell\": \"41.2 (12.5)\", \"bbox\": [321, 255, 355, 265]}, {\"cell\": \"40.9 (12.6)\", \"bbox\": [436, 255, 470, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 70, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 47, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 297, 28, 307]}, {\"cell\": \"3 (33%)\", \"bbox\": [212, 297, 238, 307]}, {\"cell\": \"3 (13%)\", \"bbox\": [321, 297, 346, 307]}, {\"cell\": \"6 (18%)\", \"bbox\": [436, 297, 462, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 311, 49, 321]}, {\"cell\": \"2 (22%)\", \"bbox\": [212, 311, 238, 321]}, {\"cell\": \"2 (9%)\", \"bbox\": [321, 311, 343, 321]}, {\"cell\": \"4 (12%)\", \"bbox\": [436, 311, 462, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 325, 52, 335]}, {\"cell\": \"4 (44%)\", \"bbox\": [212, 325, 238, 335]}, {\"cell\": \"19 (79%)\", \"bbox\": [321, 325, 350, 335]}, {\"cell\": \"23 (70%)\", \"bbox\": [436, 325, 466, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 96, 349]}, {\"cell\": \"7 (78%)\", \"bbox\": [212, 339, 238, 349]}, {\"cell\": \"2 (9%)<sup>a</sup>\", \"bbox\": [321, 337, 345, 349]}, {\"cell\": \"9 (27%)\", \"bbox\": [436, 339, 462, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 85, 363]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 353, 234, 363]}, {\"cell\": \"23 (96%)<sup>a</sup>\", \"bbox\": [321, 351, 353, 363]}, {\"cell\": \"23 (70%)\", \"bbox\": [436, 353, 466, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 69, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 93, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 395, 26, 405]}, {\"cell\": \"1 (11%)\", \"bbox\": [212, 395, 238, 405]}, {\"cell\": \"3 (13%)\", \"bbox\": [321, 395, 346, 405]}, {\"cell\": \"4 (12%)\", \"bbox\": [436, 395, 462, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 409, 26, 419]}, {\"cell\": \"6 (67%)\", \"bbox\": [212, 409, 238, 419]}, {\"cell\": \"16 (67%)\", \"bbox\": [321, 409, 350, 419]}, {\"cell\": \"22 (67%)\", \"bbox\": [436, 409, 466, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 423, 26, 433]}, {\"cell\": \"2 (22%)\", \"bbox\": [212, 423, 238, 433]}, {\"cell\": \"5 (21%)\", \"bbox\": [321, 423, 346, 433]}, {\"cell\": \"7 (21%)\", \"bbox\": [436, 423, 462, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 437, 26, 447]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 437, 234, 447]}, {\"cell\": \"0 (0%)\", \"bbox\": [321, 437, 343, 447]}, {\"cell\": \"0 (0%)\", \"bbox\": [436, 437, 458, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 451, 87, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 465, 22, 475]}, {\"cell\": \"6 (67%)\", \"bbox\": [212, 465, 238, 475]}, {\"cell\": \"18 (75%)\", \"bbox\": [321, 465, 350, 475]}, {\"cell\": \"24 (73%)\", \"bbox\": [436, 465, 466, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 479, 22, 489]}, {\"cell\": \"3 (33%)\", \"bbox\": [212, 479, 238, 489]}, {\"cell\": \"6 (25%)\", \"bbox\": [321, 479, 346, 489]}, {\"cell\": \"9 (27%)\", \"bbox\": [436, 479, 462, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 493, 22, 503]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 493, 234, 503]}, {\"cell\": \"0 (0%)\", \"bbox\": [321, 493, 343, 503]}, {\"cell\": \"0 (0%)\", \"bbox\": [436, 493, 458, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 507, 71, 517]}, {\"cell\": \"1/7 (14%)\", \"bbox\": [212, 507, 245, 517]}, {\"cell\": \"0/2 (0%)\", \"bbox\": [321, 507, 349, 517]}, {\"cell\": \"1/9 (11%)\", \"bbox\": [436, 507, 469, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 521, 55, 531]}, {\"cell\": \"2 (22%)\", \"bbox\": [212, 521, 238, 531]}, {\"cell\": \"2 (9%)\", \"bbox\": [321, 521, 343, 531]}, {\"cell\": \"4 (12%)\", \"bbox\": [436, 521, 462, 531]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 535, 138, 545]}, {\"cell\": \"2.9 (0.3)\", \"bbox\": [212, 535, 239, 545]}, {\"cell\": \"2.0 (0.2)<sup>a</sup>\", \"bbox\": [321, 533, 350, 545]}, {\"cell\": \"2.3 (0.5)\", \"bbox\": [436, 535, 463, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 549, 145, 559]}, {\"cell\": \"10.2 (3.0)\", \"bbox\": [212, 549, 243, 559]}, {\"cell\": \"8.4 (1.6)\", \"bbox\": [321, 549, 347, 559]}, {\"cell\": \"8.9 (2.2)\", \"bbox\": [436, 549, 463, 559]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 563, 67, 573]}, {\"cell\": \"0 (0%)\", \"bbox\": [212, 563, 234, 573]}, {\"cell\": \"1 (4%)\", \"bbox\": [321, 563, 343, 573]}, {\"cell\": \"1 (3%)\", \"bbox\": [436, 563, 458, 573]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4219599_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}2{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Primer</b></td><td><b>Sequence (5’-3’)</b></td><td><b>Segment</b></td><td><b>Polarity</b></td></tr></thead><tbody><tr><td>Han-5’end-EcoRI</td><td>CTC GAA TTC TAG TAG TAG AC</td><td>S</td><td>[EMPTY_CELL]</td></tr><tr><td>Shrew-S777R</td><td>AAN CCD ATN ACN CCC AT</td><td>S</td><td>[EMPTY_CELL]</td></tr><tr><td>Shrew-S764R</td><td>CCA TNA CWG GRC TNA TCA</td><td>S</td><td>[EMPTY_CELL]</td></tr><tr><td>XSV-S627F</td><td>AGA AGA ATT GAC ACC TGG GCG AT</td><td>S</td><td>[EMPTY_CELL]</td></tr><tr><td>XSV-S1040F</td><td>CAT TCT TTT CAC TGT TGC AGG A</td><td>S</td><td>[EMPTY_CELL]</td></tr><tr><td>XSV-S1235R</td><td>GTT CTT CTG AGA TAT GAC TGA TA</td><td>S</td><td>[EMPTY_CELL]</td></tr><tr><td>Bat-3’endR</td><td>TAG TAG TAK RCT CCC T</td><td>S</td><td>[EMPTY_CELL]</td></tr><tr><td>G2F1</td><td>TGG GCT GCA AGT GC</td><td>M</td><td>[EMPTY_CELL]</td></tr><tr><td>Han-M2957R</td><td>GAR CCC CAN GCN CCN TCW AT</td><td>M</td><td>[EMPTY_CELL]</td></tr><tr><td>Han-M2631R</td><td>CAT NAY RTC NCC RGG RTC NCC</td><td>M</td><td>[EMPTY_CELL]</td></tr><tr><td>Han-L1880F</td><td>CAR AAR ATG AAR NTN TGT GC</td><td>L</td><td>[EMPTY_CELL]</td></tr><tr><td>Bat-L1929F</td><td>ATG AAR NTN TGT GCA YTG TTT GA</td><td>L</td><td>[EMPTY_CELL]</td></tr><tr><td>Han-L2520F</td><td>ATN WGH YTD AAR GGN ATG TCN GG</td><td>L</td><td>[EMPTY_CELL]</td></tr><tr><td>Bat-L2810F</td><td>GAR GAY TAY TAT GAT G</td><td>L</td><td>[EMPTY_CELL]</td></tr><tr><td>Han-L3000R</td><td>GCN GAR TTR TCN CCN GGN GAC CA</td><td>L</td><td>[EMPTY_CELL]</td></tr><tr><td>Han-L2970R</td><td>CCN GGN GAC CAY TTN GTD GCA TC</td><td>L</td><td>[EMPTY_CELL]</td></tr><tr><td>MOYV-L2683R</td><td>GCT GGA TAA CAG TCG GGT TTA ATC</td><td>L</td><td>[EMPTY_CELL]</td></tr><tr><td>MOYV-L2612R</td><td>TAA GTG CCC ATC TTC TTG TA</td><td>L</td><td>[EMPTY_CELL]</td></tr><tr><td>Bat-L3442R</td><td>ACC ART CWG AMC CAT CAT C</td><td>L</td><td>[EMPTY_CELL]</td></tr><tr><td>Bat-L3613R</td><td>GTA GAG AGA AAC TCT GCA TTT GT</td><td>L</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Primer</b>\", \"bbox\": [33, 6, 69, 18]}, {\"cell\": \"<b>Sequence (5’-3’)</b>\", \"bbox\": [188, 2, 266, 19]}, {\"cell\": \"<b>Segment</b>\", \"bbox\": [362, 6, 404, 18]}, {\"cell\": \"<b>Polarity</b>\", \"bbox\": [420, 6, 460, 18]}, {\"cell\": \"Han-5’end-EcoRI\", \"bbox\": [11, 18, 91, 34]}, {\"cell\": \"CTC GAA TTC TAG TAG TAG AC\", \"bbox\": [140, 21, 307, 31]}, {\"cell\": \"S\", \"bbox\": [376, 21, 384, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 21, 444, 31]}, {\"cell\": \"Shrew-S777R\", \"bbox\": [19, 36, 83, 46]}, {\"cell\": \"AAN CCD ATN ACN CCC AT\", \"bbox\": [151, 36, 296, 46]}, {\"cell\": \"S\", \"bbox\": [376, 36, 384, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 36, 442, 46]}, {\"cell\": \"Shrew-S764R\", \"bbox\": [19, 51, 83, 61]}, {\"cell\": \"CCA TNA CWG GRC TNA TCA\", \"bbox\": [147, 51, 301, 61]}, {\"cell\": \"S\", \"bbox\": [376, 51, 384, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 51, 442, 61]}, {\"cell\": \"XSV-S627F\", \"bbox\": [23, 66, 79, 76]}, {\"cell\": \"AGA AGA ATT GAC ACC TGG GCG AT\", \"bbox\": [126, 66, 322, 76]}, {\"cell\": \"S\", \"bbox\": [376, 66, 384, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 66, 444, 76]}, {\"cell\": \"XSV-S1040F\", \"bbox\": [20, 81, 82, 91]}, {\"cell\": \"CAT TCT TTT CAC TGT TGC AGG A\", \"bbox\": [133, 81, 315, 91]}, {\"cell\": \"S\", \"bbox\": [376, 81, 384, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 81, 444, 91]}, {\"cell\": \"XSV-S1235R\", \"bbox\": [19, 96, 82, 106]}, {\"cell\": \"GTT CTT CTG AGA TAT GAC TGA TA\", \"bbox\": [128, 96, 319, 106]}, {\"cell\": \"S\", \"bbox\": [376, 96, 384, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 96, 442, 106]}, {\"cell\": \"Bat-3’endR\", \"bbox\": [24, 108, 78, 124]}, {\"cell\": \"TAG TAG TAK RCT CCC T\", \"bbox\": [157, 111, 291, 121]}, {\"cell\": \"S\", \"bbox\": [376, 111, 384, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 111, 442, 121]}, {\"cell\": \"G2F1\", \"bbox\": [37, 126, 64, 136]}, {\"cell\": \"TGG GCT GCA AGT GC\", \"bbox\": [164, 126, 283, 136]}, {\"cell\": \"M\", \"bbox\": [374, 126, 386, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 126, 444, 136]}, {\"cell\": \"Han-M2957R\", \"bbox\": [19, 141, 83, 151]}, {\"cell\": \"GAR CCC CAN GCN CCN TCW AT\", \"bbox\": [138, 141, 310, 151]}, {\"cell\": \"M\", \"bbox\": [374, 141, 386, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 141, 442, 151]}, {\"cell\": \"Han-M2631R\", \"bbox\": [19, 156, 83, 166]}, {\"cell\": \"CAT NAY RTC NCC RGG RTC NCC\", \"bbox\": [136, 156, 312, 166]}, {\"cell\": \"M\", \"bbox\": [374, 156, 386, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 156, 442, 166]}, {\"cell\": \"Han-L1880F\", \"bbox\": [22, 171, 80, 181]}, {\"cell\": \"CAR AAR ATG AAR NTN TGT GC\", \"bbox\": [139, 171, 308, 181]}, {\"cell\": \"L\", \"bbox\": [376, 171, 385, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 171, 444, 181]}, {\"cell\": \"Bat-L1929F\", \"bbox\": [23, 186, 79, 196]}, {\"cell\": \"ATG AAR NTN TGT GCA YTG TTT GA\", \"bbox\": [127, 186, 320, 196]}, {\"cell\": \"L\", \"bbox\": [376, 186, 385, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 186, 444, 196]}, {\"cell\": \"Han-L2520F\", \"bbox\": [22, 201, 80, 211]}, {\"cell\": \"ATN WGH YTD AAR GGN ATG TCN GG\", \"bbox\": [124, 201, 324, 211]}, {\"cell\": \"L\", \"bbox\": [376, 201, 385, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 201, 444, 211]}, {\"cell\": \"Bat-L2810F\", \"bbox\": [23, 216, 79, 226]}, {\"cell\": \"GAR GAY TAY TAT GAT G\", \"bbox\": [155, 216, 292, 226]}, {\"cell\": \"L\", \"bbox\": [376, 216, 385, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 216, 444, 226]}, {\"cell\": \"Han-L3000R\", \"bbox\": [21, 231, 81, 241]}, {\"cell\": \"GCN GAR TTR TCN CCN GGN GAC CA\", \"bbox\": [126, 231, 321, 241]}, {\"cell\": \"L\", \"bbox\": [376, 231, 385, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 231, 442, 241]}, {\"cell\": \"Han-L2970R\", \"bbox\": [21, 246, 81, 256]}, {\"cell\": \"CCN GGN GAC CAY TTN GTD GCA TC\", \"bbox\": [126, 246, 321, 256]}, {\"cell\": \"L\", \"bbox\": [376, 246, 385, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 246, 442, 256]}, {\"cell\": \"MOYV-L2683R\", \"bbox\": [13, 261, 89, 271]}, {\"cell\": \"GCT GGA TAA CAG TCG GGT TTA ATC\", \"bbox\": [123, 261, 324, 271]}, {\"cell\": \"L\", \"bbox\": [376, 261, 385, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 261, 442, 271]}, {\"cell\": \"MOYV-L2612R\", \"bbox\": [13, 276, 89, 286]}, {\"cell\": \"TAA GTG CCC ATC TTC TTG TA\", \"bbox\": [142, 276, 306, 286]}, {\"cell\": \"L\", \"bbox\": [376, 276, 385, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 276, 442, 286]}, {\"cell\": \"Bat-L3442R\", \"bbox\": [22, 291, 79, 301]}, {\"cell\": \"ACC ART CWG AMC CAT CAT C\", \"bbox\": [141, 291, 306, 301]}, {\"cell\": \"L\", \"bbox\": [376, 291, 385, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 291, 442, 301]}, {\"cell\": \"Bat-L3613R\", \"bbox\": [22, 306, 79, 316]}, {\"cell\": \"GTA GAG AGA AAC TCT GCA TTT GT\", \"bbox\": [127, 306, 320, 316]}, {\"cell\": \"L\", \"bbox\": [376, 306, 385, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 306, 442, 316]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4036548_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}3{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"5\\\"><b>Level of Effect</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Metric</b></td><td><b>Units</b></td><td><b>Low</b></td><td><b>Moderate</b></td><td><b>Large</b></td><td><b>Very Large</b></td><td><b>Extreme</b></td></tr></thead><tbody><tr><td>Energy cost</td><td>Relative perceived exertion</td><td>Borg CR-10 score</td><td>[EMPTY_CELL]</td><td>2–3</td><td>4–5</td><td>6–7</td><td>8–10</td></tr><tr><td rowspan=\\\"2\\\">Biomechanical</td><td>Posture</td><td>REBA score + body map</td><td>[EMPTY_CELL]</td><td>2–3</td><td>4–7</td><td>8–10</td><td>11–15</td></tr><tr><td>Localised pain and discomfort</td><td>Borg CR-10 score</td><td>0–1</td><td>[EMPTY_CELL]</td><td>4–5</td><td>6–7</td><td>8–10</td></tr><tr><td>Comfort</td><td>General wearable</td><td>CRS score</td><td>[EMPTY_CELL]</td><td>5–8</td><td>9–12</td><td>13–16</td><td>17–20</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Level of Effect</b>\", \"bbox\": [337, 5, 408, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Metric</b>\", \"bbox\": [104, 18, 138, 30]}, {\"cell\": \"<b>Units</b>\", \"bbox\": [193, 18, 220, 30]}, {\"cell\": \"<b>Low</b>\", \"bbox\": [252, 18, 275, 30]}, {\"cell\": \"<b>Moderate</b>\", \"bbox\": [287, 18, 334, 30]}, {\"cell\": \"<b>Large</b>\", \"bbox\": [345, 18, 375, 30]}, {\"cell\": \"<b>Very Large</b>\", \"bbox\": [387, 18, 443, 30]}, {\"cell\": \"<b>Extreme</b>\", \"bbox\": [454, 18, 496, 30]}, {\"cell\": \"Energy cost\", \"bbox\": [11, 38, 65, 50]}, {\"cell\": \"Relative perceived exertion\", \"bbox\": [79, 31, 163, 56]}, {\"cell\": \"Borg CR-10 score\", \"bbox\": [178, 31, 235, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 38, 273, 50]}, {\"cell\": \"2–3\", \"bbox\": [301, 38, 320, 50]}, {\"cell\": \"4–5\", \"bbox\": [351, 38, 369, 50]}, {\"cell\": \"6–7\", \"bbox\": [406, 38, 425, 50]}, {\"cell\": \"8–10\", \"bbox\": [463, 38, 487, 50]}, {\"cell\": \"Biomechanical\", \"bbox\": [4, 76, 72, 88]}, {\"cell\": \"Posture\", \"bbox\": [103, 63, 138, 75]}, {\"cell\": \"REBA score + body map\", \"bbox\": [173, 57, 240, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 63, 267, 75]}, {\"cell\": \"2–3\", \"bbox\": [301, 63, 320, 75]}, {\"cell\": \"4–7\", \"bbox\": [351, 63, 369, 75]}, {\"cell\": \"8–10\", \"bbox\": [403, 63, 427, 75]}, {\"cell\": \"11–15\", \"bbox\": [460, 63, 490, 75]}, {\"cell\": \"Localised pain and discomfort\", \"bbox\": [78, 83, 163, 108]}, {\"cell\": \"Borg CR-10 score\", \"bbox\": [178, 83, 235, 108]}, {\"cell\": \"0–1\", \"bbox\": [254, 89, 273, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 89, 320, 101]}, {\"cell\": \"4–5\", \"bbox\": [351, 89, 369, 101]}, {\"cell\": \"6–7\", \"bbox\": [406, 89, 425, 101]}, {\"cell\": \"8–10\", \"bbox\": [463, 89, 487, 101]}, {\"cell\": \"Comfort\", \"bbox\": [18, 109, 58, 121]}, {\"cell\": \"General wearable\", \"bbox\": [81, 109, 160, 121]}, {\"cell\": \"CRS score\", \"bbox\": [182, 109, 231, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 109, 273, 121]}, {\"cell\": \"5–8\", \"bbox\": [302, 109, 320, 121]}, {\"cell\": \"9–12\", \"bbox\": [348, 109, 372, 121]}, {\"cell\": \"13–16\", \"bbox\": [401, 109, 430, 121]}, {\"cell\": \"17–20\", \"bbox\": [461, 109, 490, 121]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4208222_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}4{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>BMI</b></td><td><b>IR</b></td><td><b>QU</b></td><td><b>GA</b></td><td><b>GLU</b></td><td><b>INS</b></td><td><b>C-peptide</b></td><td><b>FFA</b></td><td><b>TC</b></td><td><b>TG</b></td><td><b>LDL</b></td><td><b>HDL</b></td></tr></thead><tbody><tr><td>TBIL</td><td>r</td><td>-0.034</td><td>0.02</td><td>-0.02</td><td>0.092</td><td>0.018</td><td>0.019</td><td>0.043</td><td>0.188</td><td>0.091</td><td>-0.228</td><td>0.032</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>p</td><td>0.663</td><td>0.8</td><td>0.8</td><td>0.222</td><td>0.816</td><td>0.806</td><td>0.573</td><td>0.036</td><td>0.23</td><td>0.002</td><td>0.0675</td><td>[EMPTY_CELL]</td></tr><tr><td>ALB</td><td>r</td><td>0.018</td><td>0.186</td><td>-0.186</td><td>-0.248</td><td>-0.019</td><td>0.196</td><td>0.08</td><td>-0.08</td><td>0.165</td><td>-0.016</td><td>0.189</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>p</td><td>0.813</td><td>0.015</td><td>0.015</td><td>0.001</td><td>0.8</td><td>0.01</td><td>0.296</td><td>0.377</td><td>0.029</td><td>0.838</td><td>0.012</td><td>[EMPTY_CELL]</td></tr><tr><td>ALT</td><td>r</td><td>-0.03</td><td>-0.013</td><td>0.013</td><td>0.08</td><td>0.102</td><td>-0.057</td><td>0.056</td><td>0.103</td><td>-0.024</td><td>0.064</td><td>-0.057</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>p</td><td>0.694</td><td>0.863</td><td>0.863</td><td>0.289</td><td>0.175</td><td>0.459</td><td>0.467</td><td>0.252</td><td>0.753</td><td>0.403</td><td>0.449</td><td>[EMPTY_CELL]</td></tr><tr><td>AST</td><td>r</td><td>-0.183</td><td>-0.217</td><td>0.217</td><td>0.188</td><td>-0.02</td><td>-0.241</td><td>-0.079</td><td>0.161</td><td>0.051</td><td>-0.073</td><td>-0.007</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>p</td><td>0.017</td><td>0.004</td><td>0.004</td><td>0.013</td><td>0.79</td><td>0.002</td><td>0.305</td><td>0.073</td><td>0.502</td><td>0.339</td><td>0.931</td><td>[EMPTY_CELL]</td></tr><tr><td>ALP</td><td>r</td><td>-0.204</td><td>-0.25</td><td>0.25</td><td>0.272</td><td>0.043</td><td>-0.302</td><td>-0.156</td><td>0.125</td><td>-0.054</td><td>-0.012</td><td>-0.125</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>p</td><td>0.008</td><td>0.001</td><td>0.001</td><td>0</td><td>0.571</td><td>0</td><td>0.042</td><td>0.166</td><td>0.476</td><td>0.879</td><td>0.098</td><td>[EMPTY_CELL]</td></tr><tr><td>GGT</td><td>r</td><td>-0.099</td><td>-0.102</td><td>0.102</td><td>0.063</td><td>-0.036</td><td>-0.136</td><td>0.033</td><td>0.311</td><td>0.1</td><td>0.063</td><td>0.035</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>p</td><td>0.248</td><td>0.232</td><td>0.232</td><td>0.452</td><td>0.665</td><td>0.11</td><td>0.699</td><td>0.002</td><td>0.235</td><td>0.459</td><td>0.675</td><td>[EMPTY_CELL]</td></tr><tr><td>PT</td><td>r</td><td>-0.063</td><td>-0.175</td><td>0.175</td><td>0.231</td><td>-0.089</td><td>-0.158</td><td>-0.15</td><td>0.107</td><td>-0.29</td><td>-0.242</td><td>-0.317</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>p</td><td>0.412</td><td>0.022</td><td>0.022</td><td>0.002</td><td>0.237</td><td>0.037</td><td>0.049</td><td>0.236</td><td>0</td><td>0.001</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>AFP</td><td>r</td><td>-0.071</td><td>-0.091</td><td>0.091</td><td>-0.054</td><td>-0.131</td><td>-0.065</td><td>-0.108</td><td>0.069</td><td>-0.007</td><td>-0.115</td><td>-0.005</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>p</td><td>0.35</td><td>0.232</td><td>0.232</td><td>0.475</td><td>0.08</td><td>0.393</td><td>0.159</td><td>0.443</td><td>0.924</td><td>0.13</td><td>0.949</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>BMI</b>\", \"bbox\": [59, 4, 74, 13]}, {\"cell\": \"<b>IR</b>\", \"bbox\": [98, 4, 106, 13]}, {\"cell\": \"<b>QU</b>\", \"bbox\": [131, 4, 144, 13]}, {\"cell\": \"<b>GA</b>\", \"bbox\": [166, 4, 179, 13]}, {\"cell\": \"<b>GLU</b>\", \"bbox\": [200, 4, 216, 13]}, {\"cell\": \"<b>INS</b>\", \"bbox\": [236, 4, 250, 13]}, {\"cell\": \"<b>C-peptide</b>\", \"bbox\": [268, 4, 304, 13]}, {\"cell\": \"<b>FFA</b>\", \"bbox\": [320, 4, 335, 13]}, {\"cell\": \"<b>TC</b>\", \"bbox\": [356, 4, 367, 13]}, {\"cell\": \"<b>TG</b>\", \"bbox\": [391, 4, 402, 13]}, {\"cell\": \"<b>LDL</b>\", \"bbox\": [425, 4, 440, 13]}, {\"cell\": \"<b>HDL</b>\", \"bbox\": [460, 4, 477, 13]}, {\"cell\": \"TBIL\", \"bbox\": [6, 17, 21, 26]}, {\"cell\": \"r\", \"bbox\": [37, 17, 41, 26]}, {\"cell\": \"-0.034\", \"bbox\": [56, 17, 77, 26]}, {\"cell\": \"0.02\", \"bbox\": [95, 17, 109, 26]}, {\"cell\": \"-0.02\", \"bbox\": [129, 17, 146, 26]}, {\"cell\": \"0.092\", \"bbox\": [163, 17, 182, 26]}, {\"cell\": \"0.018\", \"bbox\": [198, 17, 217, 26]}, {\"cell\": \"0.019\", \"bbox\": [234, 17, 252, 26]}, {\"cell\": \"0.043\", \"bbox\": [276, 17, 295, 26]}, {\"cell\": \"0.188\", \"bbox\": [318, 17, 337, 26]}, {\"cell\": \"0.091\", \"bbox\": [352, 17, 371, 26]}, {\"cell\": \"-0.228\", \"bbox\": [386, 17, 407, 26]}, {\"cell\": \"0.032\", \"bbox\": [423, 17, 442, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 17, 478, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 29, 42, 38]}, {\"cell\": \"0.663\", \"bbox\": [57, 29, 76, 38]}, {\"cell\": \"0.8\", \"bbox\": [96, 29, 107, 38]}, {\"cell\": \"0.8\", \"bbox\": [132, 29, 143, 38]}, {\"cell\": \"0.222\", \"bbox\": [163, 29, 182, 38]}, {\"cell\": \"0.816\", \"bbox\": [198, 29, 217, 38]}, {\"cell\": \"0.806\", \"bbox\": [234, 29, 252, 38]}, {\"cell\": \"0.573\", \"bbox\": [276, 29, 295, 38]}, {\"cell\": \"0.036\", \"bbox\": [318, 29, 337, 38]}, {\"cell\": \"0.23\", \"bbox\": [354, 29, 369, 38]}, {\"cell\": \"0.002\", \"bbox\": [387, 29, 406, 38]}, {\"cell\": \"0.0675\", \"bbox\": [422, 29, 444, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 29, 478, 38]}, {\"cell\": \"ALB\", \"bbox\": [6, 41, 21, 50]}, {\"cell\": \"r\", \"bbox\": [37, 41, 41, 50]}, {\"cell\": \"0.018\", \"bbox\": [57, 41, 76, 50]}, {\"cell\": \"0.186\", \"bbox\": [93, 41, 111, 50]}, {\"cell\": \"-0.186\", \"bbox\": [127, 41, 148, 50]}, {\"cell\": \"-0.248\", \"bbox\": [162, 41, 183, 50]}, {\"cell\": \"-0.019\", \"bbox\": [197, 41, 218, 50]}, {\"cell\": \"0.196\", \"bbox\": [234, 41, 252, 50]}, {\"cell\": \"0.08\", \"bbox\": [278, 41, 293, 50]}, {\"cell\": \"-0.08\", \"bbox\": [319, 41, 336, 50]}, {\"cell\": \"0.165\", \"bbox\": [352, 41, 371, 50]}, {\"cell\": \"-0.016\", \"bbox\": [386, 41, 407, 50]}, {\"cell\": \"0.189\", \"bbox\": [423, 41, 442, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 41, 479, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 53, 42, 62]}, {\"cell\": \"0.813\", \"bbox\": [57, 53, 76, 62]}, {\"cell\": \"0.015\", \"bbox\": [93, 53, 111, 62]}, {\"cell\": \"0.015\", \"bbox\": [128, 53, 147, 62]}, {\"cell\": \"0.001\", \"bbox\": [163, 53, 182, 62]}, {\"cell\": \"0.8\", \"bbox\": [202, 53, 213, 62]}, {\"cell\": \"0.01\", \"bbox\": [236, 53, 250, 62]}, {\"cell\": \"0.296\", \"bbox\": [276, 53, 295, 62]}, {\"cell\": \"0.377\", \"bbox\": [318, 53, 337, 62]}, {\"cell\": \"0.029\", \"bbox\": [352, 53, 371, 62]}, {\"cell\": \"0.838\", \"bbox\": [387, 53, 406, 62]}, {\"cell\": \"0.012\", \"bbox\": [423, 53, 442, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 53, 478, 62]}, {\"cell\": \"ALT\", \"bbox\": [7, 65, 20, 74]}, {\"cell\": \"r\", \"bbox\": [37, 65, 41, 74]}, {\"cell\": \"-0.03\", \"bbox\": [58, 65, 75, 74]}, {\"cell\": \"-0.013\", \"bbox\": [91, 65, 112, 74]}, {\"cell\": \"0.013\", \"bbox\": [128, 65, 147, 74]}, {\"cell\": \"0.08\", \"bbox\": [165, 65, 180, 74]}, {\"cell\": \"0.102\", \"bbox\": [198, 65, 217, 74]}, {\"cell\": \"-0.057\", \"bbox\": [233, 65, 254, 74]}, {\"cell\": \"0.056\", \"bbox\": [276, 65, 295, 74]}, {\"cell\": \"0.103\", \"bbox\": [318, 65, 337, 74]}, {\"cell\": \"-0.024\", \"bbox\": [351, 65, 372, 74]}, {\"cell\": \"0.064\", \"bbox\": [387, 65, 406, 74]}, {\"cell\": \"-0.057\", \"bbox\": [422, 65, 443, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 65, 478, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 77, 42, 86]}, {\"cell\": \"0.694\", \"bbox\": [57, 77, 76, 86]}, {\"cell\": \"0.863\", \"bbox\": [93, 77, 111, 86]}, {\"cell\": \"0.863\", \"bbox\": [128, 77, 147, 86]}, {\"cell\": \"0.289\", \"bbox\": [163, 77, 182, 86]}, {\"cell\": \"0.175\", \"bbox\": [198, 77, 217, 86]}, {\"cell\": \"0.459\", \"bbox\": [234, 77, 252, 86]}, {\"cell\": \"0.467\", \"bbox\": [276, 77, 295, 86]}, {\"cell\": \"0.252\", \"bbox\": [318, 77, 337, 86]}, {\"cell\": \"0.753\", \"bbox\": [352, 77, 371, 86]}, {\"cell\": \"0.403\", \"bbox\": [387, 77, 406, 86]}, {\"cell\": \"0.449\", \"bbox\": [423, 77, 442, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 77, 478, 86]}, {\"cell\": \"AST\", \"bbox\": [6, 89, 20, 98]}, {\"cell\": \"r\", \"bbox\": [37, 89, 41, 98]}, {\"cell\": \"-0.183\", \"bbox\": [56, 89, 77, 98]}, {\"cell\": \"-0.217\", \"bbox\": [91, 89, 112, 98]}, {\"cell\": \"0.217\", \"bbox\": [128, 89, 147, 98]}, {\"cell\": \"0.188\", \"bbox\": [163, 89, 182, 98]}, {\"cell\": \"-0.02\", \"bbox\": [199, 89, 216, 98]}, {\"cell\": \"-0.241\", \"bbox\": [233, 89, 254, 98]}, {\"cell\": \"-0.079\", \"bbox\": [275, 89, 296, 98]}, {\"cell\": \"0.161\", \"bbox\": [318, 89, 337, 98]}, {\"cell\": \"0.051\", \"bbox\": [352, 89, 371, 98]}, {\"cell\": \"-0.073\", \"bbox\": [386, 89, 407, 98]}, {\"cell\": \"-0.007\", \"bbox\": [422, 89, 443, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 89, 478, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 101, 42, 110]}, {\"cell\": \"0.017\", \"bbox\": [57, 101, 76, 110]}, {\"cell\": \"0.004\", \"bbox\": [93, 101, 111, 110]}, {\"cell\": \"0.004\", \"bbox\": [128, 101, 147, 110]}, {\"cell\": \"0.013\", \"bbox\": [163, 101, 182, 110]}, {\"cell\": \"0.79\", \"bbox\": [200, 101, 215, 110]}, {\"cell\": \"0.002\", \"bbox\": [234, 101, 252, 110]}, {\"cell\": \"0.305\", \"bbox\": [276, 101, 295, 110]}, {\"cell\": \"0.073\", \"bbox\": [318, 101, 337, 110]}, {\"cell\": \"0.502\", \"bbox\": [352, 101, 371, 110]}, {\"cell\": \"0.339\", \"bbox\": [387, 101, 406, 110]}, {\"cell\": \"0.931\", \"bbox\": [423, 101, 442, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 101, 478, 110]}, {\"cell\": \"ALP\", \"bbox\": [6, 113, 21, 122]}, {\"cell\": \"r\", \"bbox\": [37, 113, 41, 122]}, {\"cell\": \"-0.204\", \"bbox\": [56, 113, 77, 122]}, {\"cell\": \"-0.25\", \"bbox\": [93, 113, 111, 122]}, {\"cell\": \"0.25\", \"bbox\": [130, 113, 145, 122]}, {\"cell\": \"0.272\", \"bbox\": [163, 113, 182, 122]}, {\"cell\": \"0.043\", \"bbox\": [198, 113, 217, 122]}, {\"cell\": \"-0.302\", \"bbox\": [233, 113, 254, 122]}, {\"cell\": \"-0.156\", \"bbox\": [275, 113, 296, 122]}, {\"cell\": \"0.125\", \"bbox\": [318, 113, 337, 122]}, {\"cell\": \"-0.054\", \"bbox\": [351, 113, 372, 122]}, {\"cell\": \"-0.012\", \"bbox\": [386, 113, 407, 122]}, {\"cell\": \"-0.125\", \"bbox\": [422, 113, 443, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 113, 478, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 125, 42, 134]}, {\"cell\": \"0.008\", \"bbox\": [57, 125, 76, 134]}, {\"cell\": \"0.001\", \"bbox\": [93, 125, 111, 134]}, {\"cell\": \"0.001\", \"bbox\": [128, 125, 147, 134]}, {\"cell\": \"0\", \"bbox\": [170, 125, 175, 134]}, {\"cell\": \"0.571\", \"bbox\": [198, 125, 217, 134]}, {\"cell\": \"0\", \"bbox\": [240, 125, 246, 134]}, {\"cell\": \"0.042\", \"bbox\": [276, 125, 295, 134]}, {\"cell\": \"0.166\", \"bbox\": [318, 125, 337, 134]}, {\"cell\": \"0.476\", \"bbox\": [352, 125, 371, 134]}, {\"cell\": \"0.879\", \"bbox\": [387, 125, 406, 134]}, {\"cell\": \"0.098\", \"bbox\": [423, 125, 442, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 125, 478, 134]}, {\"cell\": \"GGT\", \"bbox\": [6, 137, 21, 146]}, {\"cell\": \"r\", \"bbox\": [37, 137, 41, 146]}, {\"cell\": \"-0.099\", \"bbox\": [56, 137, 77, 146]}, {\"cell\": \"-0.102\", \"bbox\": [91, 137, 112, 146]}, {\"cell\": \"0.102\", \"bbox\": [128, 137, 147, 146]}, {\"cell\": \"0.063\", \"bbox\": [163, 137, 182, 146]}, {\"cell\": \"-0.036\", \"bbox\": [197, 137, 218, 146]}, {\"cell\": \"-0.136\", \"bbox\": [233, 137, 254, 146]}, {\"cell\": \"0.033\", \"bbox\": [276, 137, 295, 146]}, {\"cell\": \"0.311\", \"bbox\": [318, 137, 337, 146]}, {\"cell\": \"0.1\", \"bbox\": [356, 137, 367, 146]}, {\"cell\": \"0.063\", \"bbox\": [387, 137, 406, 146]}, {\"cell\": \"0.035\", \"bbox\": [423, 137, 442, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 137, 478, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 149, 42, 158]}, {\"cell\": \"0.248\", \"bbox\": [57, 149, 76, 158]}, {\"cell\": \"0.232\", \"bbox\": [93, 149, 111, 158]}, {\"cell\": \"0.232\", \"bbox\": [128, 149, 147, 158]}, {\"cell\": \"0.452\", \"bbox\": [163, 149, 182, 158]}, {\"cell\": \"0.665\", \"bbox\": [198, 149, 217, 158]}, {\"cell\": \"0.11\", \"bbox\": [236, 149, 250, 158]}, {\"cell\": \"0.699\", \"bbox\": [276, 149, 295, 158]}, {\"cell\": \"0.002\", \"bbox\": [318, 149, 337, 158]}, {\"cell\": \"0.235\", \"bbox\": [352, 149, 371, 158]}, {\"cell\": \"0.459\", \"bbox\": [387, 149, 406, 158]}, {\"cell\": \"0.675\", \"bbox\": [423, 149, 442, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 149, 478, 158]}, {\"cell\": \"PT\", \"bbox\": [9, 161, 18, 170]}, {\"cell\": \"r\", \"bbox\": [37, 161, 41, 170]}, {\"cell\": \"-0.063\", \"bbox\": [56, 161, 77, 170]}, {\"cell\": \"-0.175\", \"bbox\": [91, 161, 112, 170]}, {\"cell\": \"0.175\", \"bbox\": [128, 161, 147, 170]}, {\"cell\": \"0.231\", \"bbox\": [163, 161, 182, 170]}, {\"cell\": \"-0.089\", \"bbox\": [197, 161, 218, 170]}, {\"cell\": \"-0.158\", \"bbox\": [233, 161, 254, 170]}, {\"cell\": \"-0.15\", \"bbox\": [277, 161, 294, 170]}, {\"cell\": \"0.107\", \"bbox\": [318, 161, 337, 170]}, {\"cell\": \"-0.29\", \"bbox\": [353, 161, 370, 170]}, {\"cell\": \"-0.242\", \"bbox\": [386, 161, 407, 170]}, {\"cell\": \"-0.317\", \"bbox\": [422, 161, 443, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 161, 479, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 173, 42, 182]}, {\"cell\": \"0.412\", \"bbox\": [57, 173, 76, 182]}, {\"cell\": \"0.022\", \"bbox\": [93, 173, 111, 182]}, {\"cell\": \"0.022\", \"bbox\": [128, 173, 147, 182]}, {\"cell\": \"0.002\", \"bbox\": [163, 173, 182, 182]}, {\"cell\": \"0.237\", \"bbox\": [198, 173, 217, 182]}, {\"cell\": \"0.037\", \"bbox\": [234, 173, 252, 182]}, {\"cell\": \"0.049\", \"bbox\": [276, 173, 295, 182]}, {\"cell\": \"0.236\", \"bbox\": [318, 173, 337, 182]}, {\"cell\": \"0\", \"bbox\": [359, 173, 364, 182]}, {\"cell\": \"0.001\", \"bbox\": [387, 173, 406, 182]}, {\"cell\": \"0\", \"bbox\": [430, 173, 436, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 173, 478, 182]}, {\"cell\": \"AFP\", \"bbox\": [6, 185, 21, 194]}, {\"cell\": \"r\", \"bbox\": [37, 185, 41, 194]}, {\"cell\": \"-0.071\", \"bbox\": [56, 185, 77, 194]}, {\"cell\": \"-0.091\", \"bbox\": [91, 185, 112, 194]}, {\"cell\": \"0.091\", \"bbox\": [128, 185, 147, 194]}, {\"cell\": \"-0.054\", \"bbox\": [162, 185, 183, 194]}, {\"cell\": \"-0.131\", \"bbox\": [197, 185, 218, 194]}, {\"cell\": \"-0.065\", \"bbox\": [233, 185, 254, 194]}, {\"cell\": \"-0.108\", \"bbox\": [275, 185, 296, 194]}, {\"cell\": \"0.069\", \"bbox\": [318, 185, 337, 194]}, {\"cell\": \"-0.007\", \"bbox\": [351, 185, 372, 194]}, {\"cell\": \"-0.115\", \"bbox\": [386, 185, 407, 194]}, {\"cell\": \"-0.005\", \"bbox\": [422, 185, 443, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 185, 478, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p\", \"bbox\": [36, 197, 42, 206]}, {\"cell\": \"0.35\", \"bbox\": [59, 197, 74, 206]}, {\"cell\": \"0.232\", \"bbox\": [93, 197, 111, 206]}, {\"cell\": \"0.232\", \"bbox\": [128, 197, 147, 206]}, {\"cell\": \"0.475\", \"bbox\": [163, 197, 182, 206]}, {\"cell\": \"0.08\", \"bbox\": [200, 197, 215, 206]}, {\"cell\": \"0.393\", \"bbox\": [234, 197, 252, 206]}, {\"cell\": \"0.159\", \"bbox\": [276, 197, 295, 206]}, {\"cell\": \"0.443\", \"bbox\": [318, 197, 337, 206]}, {\"cell\": \"0.924\", \"bbox\": [352, 197, 371, 206]}, {\"cell\": \"0.13\", \"bbox\": [389, 197, 404, 206]}, {\"cell\": \"0.949\", \"bbox\": [423, 197, 442, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 197, 478, 206]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3118330_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}5{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Sample size method</b></td><td>[EMPTY_CELL]</td><td><b>Parameter coefficient<sup>a</sup> (95% confidence interval)</b></td><td><b><i>p</i> value</b></td><td><b>McFadden’s <i>D</i></b></td></tr><tr><td colspan=\\\"6\\\"><b>Detection of increasingly aggressive prostate cancer<sup>b</sup></b></td></tr></thead><tbody><tr><td>64</td><td>Restricted spectrum imaging (RSI) <i>z</i>-score</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td><td>0.613</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Benign</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Primary Gleason 3</td><td>[EMPTY_CELL]</td><td>0.014</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Primary Gleason 4</td><td>[EMPTY_CELL]</td><td>0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>64</td><td>Apparent diffusion coefficient (ADC)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td><td>0.202</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Benign</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Primary Gleason 3</td><td>[EMPTY_CELL]</td><td>0.483</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Primary Gleason 4</td><td>[EMPTY_CELL]</td><td>0.076</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"><b>Prostate cancer aggressiveness<sup>c</sup></b></td><td><b>Wald test</b></td><td><b>Odds ratio (95% confidence interval)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>36</td><td>Restricted spectrum imaging (RSI) <i>z</i>-score</td><td>5.1</td><td>[EMPTY_CELL]</td><td>0.024</td><td>[EMPTY_CELL]</td></tr><tr><td>36</td><td>Apparent diffusion coefficient (ADC)</td><td>3.3</td><td>[EMPTY_CELL]</td><td>0.069</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Sample size method</b>\", \"bbox\": [0, 6, 75, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Parameter coefficient<sup>a</sup> (95% confidence interval)</b>\", \"bbox\": [284, 5, 376, 27]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [402, 6, 430, 16]}, {\"cell\": \"<b>McFadden’s <i>D</i></b>\", \"bbox\": [451, 6, 503, 16]}, {\"cell\": \"<b>Detection of increasingly aggressive prostate cancer<sup>b</sup></b>\", \"bbox\": [0, 34, 191, 44]}, {\"cell\": \"64\", \"bbox\": [0, 55, 11, 64]}, {\"cell\": \"Restricted spectrum imaging (RSI) <i>z</i>-score\", \"bbox\": [32, 55, 174, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [402, 55, 428, 64]}, {\"cell\": \"0.613\", \"bbox\": [469, 55, 489, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Benign\", \"bbox\": [214, 66, 239, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 66, 333, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary Gleason 3\", \"bbox\": [195, 78, 258, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 78, 359, 87]}, {\"cell\": \"0.014\", \"bbox\": [408, 78, 428, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary Gleason 4\", \"bbox\": [195, 89, 258, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [305, 89, 356, 98]}, {\"cell\": \"0.001\", \"bbox\": [408, 89, 428, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"64\", \"bbox\": [0, 112, 11, 121]}, {\"cell\": \"Apparent diffusion coefficient (ADC)\", \"bbox\": [32, 112, 153, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [402, 112, 428, 121]}, {\"cell\": \"0.202\", \"bbox\": [469, 112, 490, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Benign\", \"bbox\": [214, 124, 239, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 124, 333, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary Gleason 3\", \"bbox\": [195, 135, 258, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 135, 358, 144]}, {\"cell\": \"0.483\", \"bbox\": [408, 135, 429, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary Gleason 4\", \"bbox\": [195, 146, 258, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 146, 358, 155]}, {\"cell\": \"0.076\", \"bbox\": [408, 146, 428, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Prostate cancer aggressiveness<sup>c</sup></b>\", \"bbox\": [0, 164, 116, 175]}, {\"cell\": \"<b>Wald test</b>\", \"bbox\": [208, 166, 244, 175]}, {\"cell\": \"<b>Odds ratio (95% confidence interval)</b>\", \"bbox\": [284, 166, 376, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 166, 430, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"36\", \"bbox\": [0, 195, 11, 204]}, {\"cell\": \"Restricted spectrum imaging (RSI) <i>z</i>-score\", \"bbox\": [32, 195, 174, 204]}, {\"cell\": \"5.1\", \"bbox\": [220, 195, 233, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [305, 195, 355, 204]}, {\"cell\": \"0.024\", \"bbox\": [408, 195, 429, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"36\", \"bbox\": [1, 206, 11, 215]}, {\"cell\": \"Apparent diffusion coefficient (ADC)\", \"bbox\": [32, 206, 153, 215]}, {\"cell\": \"3.3\", \"bbox\": [220, 206, 233, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 206, 353, 215]}, {\"cell\": \"0.069\", \"bbox\": [408, 206, 429, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4330697_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}6{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>STPs</b></td><td><b>Capacity</b></td><td colspan=\\\"3\\\"><b> UASB</b></td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Post treatment system</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>(MLD)</b></td><td><b>L × B × D/H (m)</b></td><td><b>No. of reactors</b></td><td><b>HRT (h)</b></td><td><b>Vol. (m<sup>3</sup>)</b></td><td><b>L × B × D/H (m)</b></td><td><b>No. of reactors</b></td><td><b>HRT</b></td><td><b>Vol. (m<sup>3</sup>)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>38</td><td>24× 28× 6.10</td><td>4</td><td>9.4</td><td>15000</td><td>12700 m<sup>2</sup> × 1.5 m (PP)*</td><td>2</td><td>1.0 d</td><td>38000</td></tr><tr><td>[EMPTY_CELL]</td><td>78</td><td>24× 40 × 5.25</td><td>6</td><td>9.3</td><td>30200</td><td>214 × 93 × 1.6 (PP)</td><td>1</td><td>1.2 d</td><td>97200</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>130 × 160 × 1.6 (PP)</td><td>1</td><td>1.2 d</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>123 × 163 × 1.60 (PP)</td><td>1</td><td>1.2 d</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>40</td><td>32 × 24 × 4.8</td><td>4</td><td>8.5</td><td>14100</td><td>241 × 135 × 1.25 (PP)</td><td>1</td><td>1.0 d</td><td>40700</td></tr><tr><td>[EMPTY_CELL]</td><td>43</td><td>24× 22× 4.80</td><td>6</td><td>7.2</td><td>14680</td><td>52 × 26 × 4.0 (ASP)**</td><td>2</td><td>6 h</td><td>10816</td></tr><tr><td>[EMPTY_CELL]</td><td>100</td><td>20 × 20 × 7.44</td><td>20</td><td>8.5</td><td>39200</td><td>60 × 16 × 5.5 (ASP) **</td><td>4</td><td>3 h</td><td>21120</td></tr><tr><td>[EMPTY_CELL]</td><td>27</td><td>24 × 28 × 6.10</td><td>3</td><td>9.9</td><td>11200</td><td>110 × 120 × 1.6 (PP)</td><td>2</td><td>1.6 d</td><td>42000</td></tr><tr><td>[EMPTY_CELL]</td><td>34</td><td>24 × 24 × 6.25</td><td>4</td><td>9.6</td><td>13600</td><td>237.4 × 55.1 × 1.3 (PP)</td><td>20</td><td>1.0 d</td><td>38000</td></tr><tr><td>[EMPTY_CELL]</td><td>111</td><td>32 × 30 × 5.1</td><td>9</td><td>9.0</td><td>44064</td><td>24 × 12 × 3.5 (Aeration)</td><td>1</td><td>10 min</td><td>1008</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>602 × 270 × 1.5 (PP)</td><td>1</td><td>1.89 d</td><td>43810</td></tr><tr><td>[EMPTY_CELL]</td><td>152</td><td>32 × 38 × 5.10</td><td>12</td><td>11</td><td>73836</td><td>602 × 270 × 1.5 (PP)</td><td>1</td><td>1.60 d</td><td>43810</td></tr><tr><td>[EMPTY_CELL]</td><td>48</td><td>32 × 30 × 5.10</td><td>4</td><td>9.5</td><td>9.517002</td><td>602 × 270 × 1.5 (PP)</td><td>2</td><td>2.5 d</td><td>43810</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>STPs</b>\", \"bbox\": [1, 4, 18, 13]}, {\"cell\": \"<b>Capacity</b>\", \"bbox\": [45, 4, 77, 13]}, {\"cell\": \"<b> UASB</b>\", \"bbox\": [167, 4, 188, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Post treatment system</b>\", \"bbox\": [341, 4, 421, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>(MLD)</b>\", \"bbox\": [50, 17, 72, 27]}, {\"cell\": \"<b>L × B × D/H (m)</b>\", \"bbox\": [84, 17, 137, 27]}, {\"cell\": \"<b>No. of reactors</b>\", \"bbox\": [144, 17, 198, 27]}, {\"cell\": \"<b>HRT (h)</b>\", \"bbox\": [204, 17, 232, 27]}, {\"cell\": \"<b>Vol. (m<sup>3</sup>)</b>\", \"bbox\": [239, 15, 271, 27]}, {\"cell\": \"<b>L × B × D/H (m)</b>\", \"bbox\": [289, 17, 343, 27]}, {\"cell\": \"<b>No. of reactors</b>\", \"bbox\": [361, 17, 414, 27]}, {\"cell\": \"<b>HRT</b>\", \"bbox\": [425, 17, 441, 27]}, {\"cell\": \"<b>Vol. (m<sup>3</sup>)</b>\", \"bbox\": [452, 15, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 38, 40]}, {\"cell\": \"38\", \"bbox\": [56, 30, 66, 40]}, {\"cell\": \"24× 28× 6.10\", \"bbox\": [88, 30, 133, 40]}, {\"cell\": \"4\", \"bbox\": [168, 30, 174, 40]}, {\"cell\": \"9.4\", \"bbox\": [213, 30, 224, 40]}, {\"cell\": \"15000\", \"bbox\": [244, 30, 265, 40]}, {\"cell\": \"12700 m<sup>2</sup> × 1.5 m (PP)*\", \"bbox\": [278, 29, 354, 40]}, {\"cell\": \"2\", \"bbox\": [385, 30, 390, 40]}, {\"cell\": \"1.0 d\", \"bbox\": [424, 30, 442, 40]}, {\"cell\": \"38000\", \"bbox\": [458, 30, 479, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 17, 54]}, {\"cell\": \"78\", \"bbox\": [56, 44, 66, 54]}, {\"cell\": \"24× 40 × 5.25\", \"bbox\": [88, 44, 133, 54]}, {\"cell\": \"6\", \"bbox\": [168, 44, 174, 54]}, {\"cell\": \"9.3\", \"bbox\": [213, 44, 224, 54]}, {\"cell\": \"30200\", \"bbox\": [244, 44, 265, 54]}, {\"cell\": \"214 × 93 × 1.6 (PP)\", \"bbox\": [286, 44, 346, 54]}, {\"cell\": \"1\", \"bbox\": [385, 44, 390, 54]}, {\"cell\": \"1.2 d\", \"bbox\": [424, 44, 442, 54]}, {\"cell\": \"97200\", \"bbox\": [458, 44, 479, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"130 × 160 × 1.6 (PP)\", \"bbox\": [284, 58, 348, 68]}, {\"cell\": \"1\", \"bbox\": [385, 58, 390, 68]}, {\"cell\": \"1.2 d\", \"bbox\": [424, 58, 442, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"123 × 163 × 1.60 (PP)\", \"bbox\": [282, 72, 350, 82]}, {\"cell\": \"1\", \"bbox\": [385, 72, 390, 82]}, {\"cell\": \"1.2 d\", \"bbox\": [424, 72, 442, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 22, 96]}, {\"cell\": \"40\", \"bbox\": [56, 86, 66, 96]}, {\"cell\": \"32 × 24 × 4.8\", \"bbox\": [90, 86, 132, 96]}, {\"cell\": \"4\", \"bbox\": [168, 86, 174, 96]}, {\"cell\": \"8.5\", \"bbox\": [213, 86, 224, 96]}, {\"cell\": \"14100\", \"bbox\": [244, 86, 265, 96]}, {\"cell\": \"241 × 135 × 1.25 (PP)\", \"bbox\": [282, 86, 350, 96]}, {\"cell\": \"1\", \"bbox\": [385, 86, 390, 96]}, {\"cell\": \"1.0 d\", \"bbox\": [424, 86, 442, 96]}, {\"cell\": \"40700\", \"bbox\": [458, 86, 479, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 32, 110]}, {\"cell\": \"43\", \"bbox\": [56, 100, 66, 110]}, {\"cell\": \"24× 22× 4.80\", \"bbox\": [88, 100, 133, 110]}, {\"cell\": \"6\", \"bbox\": [168, 100, 174, 110]}, {\"cell\": \"7.2\", \"bbox\": [213, 100, 224, 110]}, {\"cell\": \"14680\", \"bbox\": [244, 100, 265, 110]}, {\"cell\": \"52 × 26 × 4.0 (ASP)**\", \"bbox\": [282, 100, 349, 110]}, {\"cell\": \"2\", \"bbox\": [385, 100, 390, 110]}, {\"cell\": \"6 h\", \"bbox\": [427, 100, 439, 110]}, {\"cell\": \"10816\", \"bbox\": [458, 100, 479, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 19, 124]}, {\"cell\": \"100\", \"bbox\": [54, 114, 68, 124]}, {\"cell\": \"20 × 20 × 7.44\", \"bbox\": [88, 114, 134, 124]}, {\"cell\": \"20\", \"bbox\": [166, 114, 176, 124]}, {\"cell\": \"8.5\", \"bbox\": [213, 114, 224, 124]}, {\"cell\": \"39200\", \"bbox\": [244, 114, 265, 124]}, {\"cell\": \"60 × 16 × 5.5 (ASP) **\", \"bbox\": [281, 114, 351, 124]}, {\"cell\": \"4\", \"bbox\": [385, 114, 390, 124]}, {\"cell\": \"3 h\", \"bbox\": [427, 114, 439, 124]}, {\"cell\": \"21120\", \"bbox\": [458, 114, 479, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 21, 138]}, {\"cell\": \"27\", \"bbox\": [56, 128, 66, 138]}, {\"cell\": \"24 × 28 × 6.10\", \"bbox\": [88, 128, 134, 138]}, {\"cell\": \"3\", \"bbox\": [168, 128, 174, 138]}, {\"cell\": \"9.9\", \"bbox\": [213, 128, 224, 138]}, {\"cell\": \"11200\", \"bbox\": [244, 128, 265, 138]}, {\"cell\": \"110 × 120 × 1.6 (PP)\", \"bbox\": [284, 128, 348, 138]}, {\"cell\": \"2\", \"bbox\": [385, 128, 390, 138]}, {\"cell\": \"1.6 d\", \"bbox\": [424, 128, 442, 138]}, {\"cell\": \"42000\", \"bbox\": [458, 128, 479, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 21, 152]}, {\"cell\": \"34\", \"bbox\": [56, 142, 66, 152]}, {\"cell\": \"24 × 24 × 6.25\", \"bbox\": [88, 142, 134, 152]}, {\"cell\": \"4\", \"bbox\": [168, 142, 174, 152]}, {\"cell\": \"9.6\", \"bbox\": [213, 142, 224, 152]}, {\"cell\": \"13600\", \"bbox\": [244, 142, 265, 152]}, {\"cell\": \"237.4 × 55.1 × 1.3 (PP)\", \"bbox\": [281, 142, 351, 152]}, {\"cell\": \"20\", \"bbox\": [383, 142, 392, 152]}, {\"cell\": \"1.0 d\", \"bbox\": [424, 142, 442, 152]}, {\"cell\": \"38000\", \"bbox\": [458, 142, 479, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 32, 166]}, {\"cell\": \"111\", \"bbox\": [54, 156, 68, 166]}, {\"cell\": \"32 × 30 × 5.1\", \"bbox\": [90, 156, 132, 166]}, {\"cell\": \"9\", \"bbox\": [168, 156, 174, 166]}, {\"cell\": \"9.0\", \"bbox\": [213, 156, 224, 166]}, {\"cell\": \"44064\", \"bbox\": [244, 156, 265, 166]}, {\"cell\": \"24 × 12 × 3.5 (Aeration)\", \"bbox\": [278, 156, 354, 166]}, {\"cell\": \"1\", \"bbox\": [385, 156, 390, 166]}, {\"cell\": \"10 min\", \"bbox\": [421, 156, 445, 166]}, {\"cell\": \"1008\", \"bbox\": [460, 156, 477, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"602 × 270 × 1.5 (PP)\", \"bbox\": [284, 170, 348, 180]}, {\"cell\": \"1\", \"bbox\": [385, 170, 390, 180]}, {\"cell\": \"1.89 d\", \"bbox\": [422, 170, 444, 180]}, {\"cell\": \"43810\", \"bbox\": [458, 170, 479, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 32, 194]}, {\"cell\": \"152\", \"bbox\": [54, 184, 68, 194]}, {\"cell\": \"32 × 38 × 5.10\", \"bbox\": [88, 184, 134, 194]}, {\"cell\": \"12\", \"bbox\": [166, 184, 176, 194]}, {\"cell\": \"11\", \"bbox\": [213, 184, 223, 194]}, {\"cell\": \"73836\", \"bbox\": [244, 184, 265, 194]}, {\"cell\": \"602 × 270 × 1.5 (PP)\", \"bbox\": [284, 184, 348, 194]}, {\"cell\": \"1\", \"bbox\": [385, 184, 390, 194]}, {\"cell\": \"1.60 d\", \"bbox\": [422, 184, 444, 194]}, {\"cell\": \"43810\", \"bbox\": [458, 184, 479, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 32, 208]}, {\"cell\": \"48\", \"bbox\": [56, 198, 66, 208]}, {\"cell\": \"32 × 30 × 5.10\", \"bbox\": [88, 198, 134, 208]}, {\"cell\": \"4\", \"bbox\": [168, 198, 174, 208]}, {\"cell\": \"9.5\", \"bbox\": [213, 198, 224, 208]}, {\"cell\": \"9.517002\", \"bbox\": [240, 198, 270, 208]}, {\"cell\": \"602 × 270 × 1.5 (PP)\", \"bbox\": [284, 198, 348, 208]}, {\"cell\": \"2\", \"bbox\": [385, 198, 390, 208]}, {\"cell\": \"2.5 d\", \"bbox\": [424, 198, 442, 208]}, {\"cell\": \"43810\", \"bbox\": [458, 198, 479, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4108128_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}7{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Recommendation to ensure rigour in secondary analysis of qualitative data</b></td><td><b>Measure taken</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Detailed transcriptions, transcribed verbatim, were available.</td></tr><tr><td>[EMPTY_CELL]</td><td>Whole interviews were available to at least one of the researchers involved in the secondary analysis rather than just the relevant sections.</td></tr><tr><td>[EMPTY_CELL]</td><td>Field note summaries (interview ‘pen portraits’), included information about the participant’s gender, age, socio-economic status, residence, family situation, key life events and the context in which each interview took place were provided.</td></tr><tr><td>[EMPTY_CELL]</td><td>Information included in detailed field note summaries.</td></tr><tr><td>[EMPTY_CELL]</td><td>Sampling frameworks of the primary studies and the selection of the subset used in the secondary analysis are described in the methods section.</td></tr><tr><td>[EMPTY_CELL]</td><td>Funding information for the primary studies is included in Table 1. Additional funding sources for the secondary analysis are included in the acknowledgements.</td></tr><tr><td>[EMPTY_CELL]</td><td>At least one researcher from the original study was available to provide further information on any contextual queries (ShP, BP, RD). The original researchers were not however involved in the re-coding of the data (conducted by NE and RP).</td></tr><tr><td>[EMPTY_CELL]</td><td>Ethics and informed consent are described in the methods section.</td></tr><tr><td>[EMPTY_CELL]</td><td>Rationale for the thematic analysis is described in the methods section.</td></tr><tr><td>[EMPTY_CELL]</td><td>Data were managed using Atlas ti qualitative data analysis software.</td></tr><tr><td>[EMPTY_CELL]</td><td>Details provided in this table.</td></tr><tr><td>[EMPTY_CELL]</td><td>At least one researcher from the original study confirmed the fit of the resulting themes.</td></tr><tr><td>[EMPTY_CELL]</td><td>Limitations are outlined in the limitations section.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Recommendation to ensure rigour in secondary analysis of qualitative data</b>\", \"bbox\": [1, 4, 169, 22]}, {\"cell\": \"<b>Measure taken</b>\", \"bbox\": [197, 4, 250, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 186, 45]}, {\"cell\": \"Detailed transcriptions, transcribed verbatim, were available.\", \"bbox\": [197, 26, 391, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 48, 183, 67]}, {\"cell\": \"Whole interviews were available to at least one of the researchers involved in the secondary analysis rather than just the relevant sections.\", \"bbox\": [197, 48, 461, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 70, 157, 89]}, {\"cell\": \"Field note summaries (interview ‘pen portraits’), included information about the participant’s gender, age, socio-economic status, residence, family situation, key life events and the context in which each interview took place were provided.\", \"bbox\": [197, 70, 466, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 171, 120]}, {\"cell\": \"Information included in detailed field note summaries.\", \"bbox\": [197, 101, 374, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 172, 142]}, {\"cell\": \"Sampling frameworks of the primary studies and the selection of the subset used in the secondary analysis are described in the methods section.\", \"bbox\": [197, 124, 482, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 146, 155]}, {\"cell\": \"Funding information for the primary studies is included in Table 1. Additional funding sources for the secondary analysis are included in the acknowledgements.\", \"bbox\": [197, 146, 475, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 168, 167, 177]}, {\"cell\": \"At least one researcher from the original study was available to provide further information on any contextual queries (ShP, BP, RD). The original researchers were not however involved in the re-coding of the data (conducted by NE and RP).\", \"bbox\": [197, 168, 476, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 121, 209]}, {\"cell\": \"Ethics and informed consent are described in the methods section.\", \"bbox\": [197, 199, 415, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 183, 231]}, {\"cell\": \"Rationale for the thematic analysis is described in the methods section.\", \"bbox\": [197, 212, 428, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 234, 159, 244]}, {\"cell\": \"Data were managed using Atlas ti qualitative data analysis software.\", \"bbox\": [197, 234, 417, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 248, 174, 266]}, {\"cell\": \"Details provided in this table.\", \"bbox\": [197, 248, 293, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 270, 187, 279]}, {\"cell\": \"At least one researcher from the original study confirmed the fit of the resulting themes.\", \"bbox\": [197, 270, 484, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 69, 292]}, {\"cell\": \"Limitations are outlined in the limitations section.\", \"bbox\": [197, 283, 358, 292]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3583811_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}8{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Locus tag</b></td><td><b>Gene symbol</b></td><td><b>Description</b></td><td><b>Relative fold change in 4-APP-treated to vehicle-treated C57BL/6 mice (mean (s.e.))</b></td><td><b>Relative fold change in MyD88-deficient to wild type C57BL/6 mice (mean (s.e.))</b></td></tr></thead><tbody><tr><td>SAOUHSC_02265</td><td><i>agrA</i></td><td>Accessory gene regulator protein A</td><td>−1.60 (0.22)</td><td>[EMPTY_CELL]</td></tr><tr><td>SAOUHSC_02566</td><td><i>sarR</i></td><td>Accessory regulator R</td><td>−1.83 (0.22)</td><td>[EMPTY_CELL]</td></tr><tr><td>SAOUHSC_01121</td><td><i>hla</i></td><td>Alpha-hemolysin</td><td>−3.32 (1.56)</td><td>[EMPTY_CELL]</td></tr><tr><td>SAOUHSC_02971</td><td><i>aur</i></td><td>Zinc metalloproteinase aureolysin</td><td>−2.31 (0.96)</td><td>[EMPTY_CELL]</td></tr><tr><td>SAOUHSC_00988</td><td><i>sspA</i></td><td>Glutamyl endopeptidase</td><td>−2.19 (0.01)</td><td>[EMPTY_CELL]</td></tr><tr><td>SAOUHSC_00561</td><td><i>vraX</i></td><td>Protein VraX</td><td>−3.91 (2.76)</td><td>[EMPTY_CELL]</td></tr><tr><td>SAOUHSC_00436</td><td><i>gltD</i></td><td>Glutamate synthase subunit beta</td><td>−2.41 (1.11)</td><td>[EMPTY_CELL]</td></tr><tr><td>SAOUHSC_01803</td><td><i>aapA</i></td><td>D-serine/D-alanine/glycine transporter</td><td>1.21 (2.32)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>RNAIII</td><td>Regulatory RNA</td><td>−1.80 (0.53)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Locus tag</b>\", \"bbox\": [2, 1, 37, 11]}, {\"cell\": \"<b>Gene symbol</b>\", \"bbox\": [71, 1, 97, 20]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [102, 1, 144, 11]}, {\"cell\": \"<b>Relative fold change in 4-APP-treated to vehicle-treated C57BL/6 mice (mean (s.e.))</b>\", \"bbox\": [240, 1, 372, 30]}, {\"cell\": \"<b>Relative fold change in MyD88-deficient to wild type C57BL/6 mice (mean (s.e.))</b>\", \"bbox\": [377, 1, 504, 30]}, {\"cell\": \"SAOUHSC_02265\", \"bbox\": [2, 32, 65, 41]}, {\"cell\": \"<i>agrA</i>\", \"bbox\": [71, 32, 88, 41]}, {\"cell\": \"Accessory gene regulator protein A\", \"bbox\": [102, 32, 224, 41]}, {\"cell\": \"−1.60 (0.22)\", \"bbox\": [283, 32, 330, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [420, 32, 462, 41]}, {\"cell\": \"SAOUHSC_02566\", \"bbox\": [2, 42, 65, 51]}, {\"cell\": \"<i>sarR</i>\", \"bbox\": [71, 42, 86, 51]}, {\"cell\": \"Accessory regulator R\", \"bbox\": [102, 42, 178, 51]}, {\"cell\": \"−1.83 (0.22)\", \"bbox\": [283, 42, 330, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [420, 42, 467, 51]}, {\"cell\": \"SAOUHSC_01121\", \"bbox\": [2, 51, 60, 60]}, {\"cell\": \"<i>hla</i>\", \"bbox\": [71, 51, 82, 60]}, {\"cell\": \"Alpha-hemolysin\", \"bbox\": [102, 51, 160, 60]}, {\"cell\": \"−3.32 (1.56)\", \"bbox\": [284, 51, 330, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 51, 465, 60]}, {\"cell\": \"SAOUHSC_02971\", \"bbox\": [2, 61, 63, 70]}, {\"cell\": \"<i>aur</i>\", \"bbox\": [71, 61, 83, 70]}, {\"cell\": \"Zinc metalloproteinase aureolysin\", \"bbox\": [102, 61, 217, 70]}, {\"cell\": \"−2.31 (0.96)\", \"bbox\": [283, 61, 330, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 61, 466, 70]}, {\"cell\": \"SAOUHSC_00988\", \"bbox\": [2, 70, 66, 79]}, {\"cell\": \"<i>sspA</i>\", \"bbox\": [71, 70, 88, 79]}, {\"cell\": \"Glutamyl endopeptidase\", \"bbox\": [102, 70, 185, 79]}, {\"cell\": \"−2.19 (0.01)\", \"bbox\": [284, 70, 330, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 70, 467, 79]}, {\"cell\": \"SAOUHSC_00561\", \"bbox\": [2, 80, 64, 89]}, {\"cell\": \"<i>vraX</i>\", \"bbox\": [71, 80, 87, 89]}, {\"cell\": \"Protein VraX\", \"bbox\": [102, 80, 147, 89]}, {\"cell\": \"−3.91 (2.76)\", \"bbox\": [284, 80, 330, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 80, 467, 89]}, {\"cell\": \"SAOUHSC_00436\", \"bbox\": [2, 89, 66, 98]}, {\"cell\": \"<i>gltD</i>\", \"bbox\": [71, 89, 86, 98]}, {\"cell\": \"Glutamate synthase subunit beta\", \"bbox\": [102, 89, 215, 98]}, {\"cell\": \"−2.41 (1.11)\", \"bbox\": [286, 89, 328, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 89, 465, 98]}, {\"cell\": \"SAOUHSC_01803\", \"bbox\": [2, 98, 64, 108]}, {\"cell\": \"<i>aapA</i>\", \"bbox\": [71, 99, 89, 108]}, {\"cell\": \"D-serine/D-alanine/glycine transporter\", \"bbox\": [102, 98, 235, 108]}, {\"cell\": \"1.21 (2.32)\", \"bbox\": [288, 98, 325, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 98, 467, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RNAIII\", \"bbox\": [71, 108, 95, 117]}, {\"cell\": \"Regulatory RNA\", \"bbox\": [102, 108, 158, 117]}, {\"cell\": \"−1.80 (0.53)\", \"bbox\": [283, 108, 330, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 108, 467, 117]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5296661_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}9{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b><i>n</i><sub><i>c</i></sub></b></td><td><b><i>D</i><sub><i>N</i></sub></b></td><td><b><i>D</i><sub><i>S</i></sub></b></td><td><b><i>P</i><sub><i>N</i></sub></b></td><td><b><i>P</i><sub><i>S</i></sub></b></td><td><b><i>P</i><sub>FET</sub></b></td><td><b>Phenotype(s)</b></td></tr></thead><tbody><tr><td><i>nonC</i></td><td>1852</td><td>31</td><td>[EMPTY_CELL]</td><td>8</td><td>53</td><td>0.000076</td><td>Hippo decrease</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Hedgehog increase</td></tr><tr><td><i>Set2</i></td><td>1408</td><td>27</td><td>[EMPTY_CELL]</td><td>17</td><td>73</td><td>0.001521</td><td>Hedgehog increase</td></tr><tr><td><i>Nup153</i></td><td>1294</td><td>49</td><td>[EMPTY_CELL]</td><td>8</td><td>30</td><td>0.001623</td><td>Hedgehog decrease</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>RTK-Ras-ERK signaling decrease</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>RTK-Ras-ERK signaling increase</td></tr><tr><td><i>Kib</i></td><td>1076</td><td>5</td><td>[EMPTY_CELL]</td><td>0</td><td>62</td><td>0.003269</td><td>Decreased cell viability</td></tr><tr><td><i>pcm</i></td><td>1072</td><td>29</td><td>[EMPTY_CELL]</td><td>4</td><td>19</td><td>0.005061</td><td><i>Blood</i> TE activity</td></tr><tr><td><i>Cnot4</i></td><td>860</td><td>20</td><td>[EMPTY_CELL]</td><td>9</td><td>34</td><td>0.005227</td><td>Hippo decrease</td></tr><tr><td><i>ZC3H3</i></td><td>414</td><td>9</td><td>[EMPTY_CELL]</td><td>6</td><td>31</td><td>0.007610</td><td>Hippo increase</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>RTK-Ras-ERK signaling decrease</td></tr><tr><td><i>Nup205</i></td><td>781</td><td>11</td><td>[EMPTY_CELL]</td><td>2</td><td>28</td><td>0.007613</td><td>Wnt increase</td></tr><tr><td><i>Dref</i></td><td>554</td><td>6</td><td>[EMPTY_CELL]</td><td>0</td><td>29</td><td>0.007942</td><td>Hedgehog increase</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>RTK-Ras-ERK signaling decrease</td></tr><tr><td><i>Sik3</i></td><td>571</td><td>6</td><td>[EMPTY_CELL]</td><td>4</td><td>37</td><td>0.008072</td><td>Hippo decrease</td></tr><tr><td><i>RasGAP1</i></td><td>979</td><td>6</td><td>[EMPTY_CELL]</td><td>1</td><td>54</td><td>0.009106</td><td>Innate immunity</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>RTK-Ras-ERK signaling increase</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [1, 5, 20, 14]}, {\"cell\": \"<b><i>n</i><sub><i>c</i></sub></b>\", \"bbox\": [67, 5, 76, 15]}, {\"cell\": \"<b><i>D</i><sub><i>N</i></sub></b>\", \"bbox\": [123, 5, 133, 15]}, {\"cell\": \"<b><i>D</i><sub><i>S</i></sub></b>\", \"bbox\": [171, 5, 181, 15]}, {\"cell\": \"<b><i>P</i><sub><i>N</i></sub></b>\", \"bbox\": [219, 5, 229, 15]}, {\"cell\": \"<b><i>P</i><sub><i>S</i></sub></b>\", \"bbox\": [267, 5, 275, 15]}, {\"cell\": \"<b><i>P</i><sub>FET</sub></b>\", \"bbox\": [314, 5, 328, 15]}, {\"cell\": \"<b>Phenotype(s)</b>\", \"bbox\": [382, 5, 427, 14]}, {\"cell\": \"<i>nonC</i>\", \"bbox\": [1, 19, 19, 29]}, {\"cell\": \"1852\", \"bbox\": [67, 19, 85, 29]}, {\"cell\": \"31\", \"bbox\": [123, 19, 132, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 19, 181, 29]}, {\"cell\": \"8\", \"bbox\": [219, 19, 225, 29]}, {\"cell\": \"53\", \"bbox\": [267, 19, 277, 29]}, {\"cell\": \"0.000076\", \"bbox\": [314, 19, 345, 29]}, {\"cell\": \"Hippo decrease\", \"bbox\": [382, 19, 435, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hedgehog increase\", \"bbox\": [382, 33, 447, 43]}, {\"cell\": \"<i>Set2</i>\", \"bbox\": [1, 47, 15, 56]}, {\"cell\": \"1408\", \"bbox\": [67, 47, 85, 57]}, {\"cell\": \"27\", \"bbox\": [123, 47, 132, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 47, 181, 57]}, {\"cell\": \"17\", \"bbox\": [219, 47, 229, 57]}, {\"cell\": \"73\", \"bbox\": [267, 47, 277, 57]}, {\"cell\": \"0.001521\", \"bbox\": [314, 47, 345, 57]}, {\"cell\": \"Hedgehog increase\", \"bbox\": [382, 47, 447, 57]}, {\"cell\": \"<i>Nup153</i>\", \"bbox\": [1, 61, 27, 70]}, {\"cell\": \"1294\", \"bbox\": [67, 61, 85, 71]}, {\"cell\": \"49\", \"bbox\": [123, 61, 132, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 61, 181, 71]}, {\"cell\": \"8\", \"bbox\": [219, 61, 225, 71]}, {\"cell\": \"30\", \"bbox\": [267, 61, 277, 71]}, {\"cell\": \"0.001623\", \"bbox\": [314, 61, 345, 71]}, {\"cell\": \"Hedgehog decrease\", \"bbox\": [382, 61, 449, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTK-Ras-ERK signaling decrease\", \"bbox\": [382, 75, 484, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTK-Ras-ERK signaling increase\", \"bbox\": [382, 89, 482, 98]}, {\"cell\": \"<i>Kib</i>\", \"bbox\": [1, 103, 12, 112]}, {\"cell\": \"1076\", \"bbox\": [67, 103, 85, 112]}, {\"cell\": \"5\", \"bbox\": [123, 103, 128, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 103, 181, 112]}, {\"cell\": \"0\", \"bbox\": [219, 103, 225, 112]}, {\"cell\": \"62\", \"bbox\": [267, 103, 277, 112]}, {\"cell\": \"0.003269\", \"bbox\": [314, 103, 345, 112]}, {\"cell\": \"Decreased cell viability\", \"bbox\": [382, 103, 457, 112]}, {\"cell\": \"<i>pcm</i>\", \"bbox\": [1, 117, 16, 126]}, {\"cell\": \"1072\", \"bbox\": [67, 117, 85, 126]}, {\"cell\": \"29\", \"bbox\": [123, 117, 132, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 117, 181, 126]}, {\"cell\": \"4\", \"bbox\": [219, 117, 225, 126]}, {\"cell\": \"19\", \"bbox\": [267, 117, 277, 126]}, {\"cell\": \"0.005061\", \"bbox\": [314, 117, 345, 126]}, {\"cell\": \"<i>Blood</i> TE activity\", \"bbox\": [382, 117, 436, 126]}, {\"cell\": \"<i>Cnot4</i>\", \"bbox\": [1, 131, 21, 140]}, {\"cell\": \"860\", \"bbox\": [67, 131, 81, 140]}, {\"cell\": \"20\", \"bbox\": [123, 131, 132, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 131, 181, 140]}, {\"cell\": \"9\", \"bbox\": [219, 131, 225, 140]}, {\"cell\": \"34\", \"bbox\": [267, 131, 277, 140]}, {\"cell\": \"0.005227\", \"bbox\": [314, 131, 345, 140]}, {\"cell\": \"Hippo decrease\", \"bbox\": [382, 131, 435, 140]}, {\"cell\": \"<i>ZC3H3</i>\", \"bbox\": [1, 145, 23, 154]}, {\"cell\": \"414\", \"bbox\": [67, 145, 81, 154]}, {\"cell\": \"9\", \"bbox\": [123, 145, 128, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 145, 177, 154]}, {\"cell\": \"6\", \"bbox\": [219, 145, 225, 154]}, {\"cell\": \"31\", \"bbox\": [267, 145, 277, 154]}, {\"cell\": \"0.007610\", \"bbox\": [314, 145, 345, 154]}, {\"cell\": \"Hippo increase\", \"bbox\": [382, 145, 432, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTK-Ras-ERK signaling decrease\", \"bbox\": [382, 159, 484, 168]}, {\"cell\": \"<i>Nup205</i>\", \"bbox\": [1, 173, 27, 182]}, {\"cell\": \"781\", \"bbox\": [67, 173, 81, 182]}, {\"cell\": \"11\", \"bbox\": [123, 173, 132, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 173, 181, 182]}, {\"cell\": \"2\", \"bbox\": [219, 173, 225, 182]}, {\"cell\": \"28\", \"bbox\": [267, 173, 277, 182]}, {\"cell\": \"0.007613\", \"bbox\": [314, 173, 345, 182]}, {\"cell\": \"Wnt increase\", \"bbox\": [382, 173, 426, 182]}, {\"cell\": \"<i>Dref</i>\", \"bbox\": [1, 187, 15, 196]}, {\"cell\": \"554\", \"bbox\": [67, 187, 81, 196]}, {\"cell\": \"6\", \"bbox\": [123, 187, 128, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 187, 181, 196]}, {\"cell\": \"0\", \"bbox\": [219, 187, 225, 196]}, {\"cell\": \"29\", \"bbox\": [267, 187, 277, 196]}, {\"cell\": \"0.007942\", \"bbox\": [314, 187, 345, 196]}, {\"cell\": \"Hedgehog increase\", \"bbox\": [382, 187, 447, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTK-Ras-ERK signaling decrease\", \"bbox\": [382, 201, 484, 210]}, {\"cell\": \"<i>Sik3</i>\", \"bbox\": [1, 214, 15, 224]}, {\"cell\": \"571\", \"bbox\": [67, 215, 81, 224]}, {\"cell\": \"6\", \"bbox\": [123, 215, 128, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 215, 177, 224]}, {\"cell\": \"4\", \"bbox\": [219, 215, 225, 224]}, {\"cell\": \"37\", \"bbox\": [267, 215, 277, 224]}, {\"cell\": \"0.008072\", \"bbox\": [314, 215, 345, 224]}, {\"cell\": \"Hippo decrease\", \"bbox\": [382, 215, 435, 224]}, {\"cell\": \"<i>RasGAP1</i>\", \"bbox\": [1, 228, 30, 238]}, {\"cell\": \"979\", \"bbox\": [67, 228, 81, 238]}, {\"cell\": \"6\", \"bbox\": [123, 228, 128, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 228, 181, 238]}, {\"cell\": \"1\", \"bbox\": [219, 228, 225, 238]}, {\"cell\": \"54\", \"bbox\": [267, 228, 277, 238]}, {\"cell\": \"0.009106\", \"bbox\": [314, 228, 345, 238]}, {\"cell\": \"Innate immunity\", \"bbox\": [382, 228, 437, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTK-Ras-ERK signaling increase\", \"bbox\": [382, 242, 482, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4578789_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}10{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Layer</b></td><td><b>Mobile Station</b></td><td><b>Localization Server</b></td></tr></thead><tbody><tr><td rowspan=\\\"5\\\">[EMPTY_CELL]</td><td>Display user position</td><td rowspan=\\\"5\\\">Display management interface</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td rowspan=\\\"4\\\">Validation of input data Measurement and processing of localization data</td><td>Validation of input data</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td rowspan=\\\"4\\\">Data exchange with localization server Localization service calls</td><td>Data exchange with mobile stations</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td rowspan=\\\"3\\\">Securing of sensitive data</td><td>Authentication</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Notify localization server about errors</td><td>Make record of errors</td></tr><tr><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Layer</b>\", \"bbox\": [38, 6, 68, 18]}, {\"cell\": \"<b>Mobile Station</b>\", \"bbox\": [153, 6, 224, 18]}, {\"cell\": \"<b>Localization Server</b>\", \"bbox\": [309, 6, 403, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 52, 84, 63]}, {\"cell\": \"Display user position\", \"bbox\": [141, 21, 236, 33]}, {\"cell\": \"Display management interface\", \"bbox\": [287, 51, 424, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 36, 249, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 51, 246, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 66, 257, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 81, 252, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 127, 94, 139]}, {\"cell\": \"Validation of input data Measurement and processing of localization data\", \"bbox\": [117, 112, 260, 154]}, {\"cell\": \"Validation of input data\", \"bbox\": [302, 97, 409, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 112, 423, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 142, 405, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 157, 389, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [35, 203, 71, 214]}, {\"cell\": \"Data exchange with localization server Localization service calls\", \"bbox\": [117, 187, 260, 229]}, {\"cell\": \"Data exchange with mobile stations\", \"bbox\": [294, 172, 417, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 202, 393, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 217, 423, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [287, 232, 424, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 263, 74, 275]}, {\"cell\": \"Securing of sensitive data\", \"bbox\": [131, 263, 246, 275]}, {\"cell\": \"Authentication\", \"bbox\": [322, 248, 389, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 263, 387, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 278, 413, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 309, 85, 320]}, {\"cell\": \"Notify localization server about errors\", \"bbox\": [118, 301, 259, 328]}, {\"cell\": \"Make record of errors\", \"bbox\": [307, 293, 405, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 308, 435, 335]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4279482_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}11{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Patients <i>n</i> = 246 (%)</b></td><td><b>Controls <i>n</i> = 250 (%)</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Gender</td></tr><tr><td> Male</td><td>177 (71.95)</td><td>[EMPTY_CELL]</td><td>0.99</td></tr><tr><td> Female</td><td>69 (28.05)</td><td>[EMPTY_CELL]</td><td>0.99</td></tr><tr><td colspan=\\\"4\\\">Age</td></tr><tr><td> Mean ± (SD)</td><td>57.57 ± 10.19</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Stages of NSCLC</td></tr><tr><td> II</td><td>28 (7.66)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> III</td><td>82 (34.23)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> IV</td><td>136 (58.11)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Histology</td></tr><tr><td> Squamous<b>-</b>cell carcinoma</td><td>97 (43.24)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Adenocarcinoma</td><td>109 (48.65)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Large cell and others</td><td>40 (8.11)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Alcoholism</td></tr><tr><td> Consumers</td><td>95 (38.62)*</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td> Non-consumers</td><td>151 (61.38)*</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td colspan=\\\"4\\\">Smoking status</td></tr><tr><td> Never-smokers</td><td>98 (39.84)*</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> Ex-smokers</td><td>42 (17.07)*</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> Current smokers</td><td>106 (43.08) *</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> ≤20 pack years</td><td>38 (15.45)</td><td>[EMPTY_CELL]</td><td>0.16</td></tr><tr><td> 21–40 pack years</td><td>34 (13.82)*</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td> 41–60 pack years</td><td>8 (3.25)</td><td>[EMPTY_CELL]</td><td>0.38</td></tr><tr><td> >60 pack years</td><td>26 (10.57)*</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td> Passive smokers</td><td>38 (15.45)*</td><td>[EMPTY_CELL]</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [0, 4, 34, 13]}, {\"cell\": \"<b>Patients <i>n</i> = 246 (%)</b>\", \"bbox\": [87, 4, 129, 23]}, {\"cell\": \"<b>Controls <i>n</i> = 250 (%)</b>\", \"bbox\": [150, 4, 192, 23]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [209, 4, 235, 14]}, {\"cell\": \"Gender\", \"bbox\": [0, 31, 26, 41]}, {\"cell\": \" Male\", \"bbox\": [5, 43, 23, 53]}, {\"cell\": \"177 (71.95)\", \"bbox\": [87, 43, 124, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 43, 187, 53]}, {\"cell\": \"0.99\", \"bbox\": [213, 43, 228, 53]}, {\"cell\": \" Female\", \"bbox\": [5, 55, 30, 65]}, {\"cell\": \"69 (28.05)\", \"bbox\": [87, 55, 120, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 55, 183, 65]}, {\"cell\": \"0.99\", \"bbox\": [213, 55, 228, 65]}, {\"cell\": \"Age\", \"bbox\": [0, 67, 15, 77]}, {\"cell\": \" Mean ± (SD)\", \"bbox\": [5, 80, 48, 89]}, {\"cell\": \"57.57 ± 10.19\", \"bbox\": [87, 80, 133, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 80, 192, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stages of NSCLC\", \"bbox\": [0, 92, 55, 101]}, {\"cell\": \" II\", \"bbox\": [5, 104, 11, 113]}, {\"cell\": \"28 (7.66)\", \"bbox\": [87, 104, 116, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" III\", \"bbox\": [5, 116, 12, 125]}, {\"cell\": \"82 (34.23)\", \"bbox\": [87, 116, 120, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IV\", \"bbox\": [5, 128, 13, 137]}, {\"cell\": \"136 (58.11)\", \"bbox\": [87, 128, 124, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histology\", \"bbox\": [0, 140, 33, 150]}, {\"cell\": \" Squamous<b>-</b>cell carcinoma\", \"bbox\": [5, 152, 55, 171]}, {\"cell\": \"97 (43.24)\", \"bbox\": [87, 152, 120, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Adenocarcinoma\", \"bbox\": [5, 173, 62, 183]}, {\"cell\": \"109 (48.65)\", \"bbox\": [87, 173, 124, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Large cell and others\", \"bbox\": [5, 185, 74, 195]}, {\"cell\": \"40 (8.11)\", \"bbox\": [87, 185, 116, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alcoholism\", \"bbox\": [0, 197, 38, 207]}, {\"cell\": \" Consumers\", \"bbox\": [5, 210, 43, 219]}, {\"cell\": \"95 (38.62)*\", \"bbox\": [87, 210, 123, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 210, 179, 219]}, {\"cell\": \"0.01\", \"bbox\": [213, 210, 228, 219]}, {\"cell\": \" Non-consumers\", \"bbox\": [5, 222, 59, 231]}, {\"cell\": \"151 (61.38)*\", \"bbox\": [87, 222, 127, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 222, 183, 231]}, {\"cell\": \"0.01\", \"bbox\": [213, 222, 228, 231]}, {\"cell\": \"Smoking status\", \"bbox\": [0, 234, 51, 243]}, {\"cell\": \" Never-smokers\", \"bbox\": [5, 246, 55, 255]}, {\"cell\": \"98 (39.84)*\", \"bbox\": [87, 246, 123, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 246, 187, 255]}, {\"cell\": \"<0.001\", \"bbox\": [209, 246, 232, 255]}, {\"cell\": \" Ex-smokers\", \"bbox\": [5, 258, 43, 267]}, {\"cell\": \"42 (17.07)*\", \"bbox\": [87, 258, 123, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 258, 179, 267]}, {\"cell\": \"<0.001\", \"bbox\": [209, 258, 232, 267]}, {\"cell\": \" Current smokers\", \"bbox\": [5, 270, 60, 280]}, {\"cell\": \"106 (43.08) *\", \"bbox\": [87, 270, 129, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 270, 183, 280]}, {\"cell\": \"<0.001\", \"bbox\": [209, 270, 232, 280]}, {\"cell\": \" ≤20 pack years\", \"bbox\": [5, 282, 56, 292]}, {\"cell\": \"38 (15.45)\", \"bbox\": [87, 282, 120, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 282, 179, 292]}, {\"cell\": \"0.16\", \"bbox\": [213, 282, 228, 292]}, {\"cell\": \" 21–40 pack years\", \"bbox\": [5, 294, 62, 304]}, {\"cell\": \"34 (13.82)*\", \"bbox\": [87, 294, 123, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 294, 175, 304]}, {\"cell\": \"0.01\", \"bbox\": [213, 294, 228, 304]}, {\"cell\": \" 41–60 pack years\", \"bbox\": [5, 306, 62, 316]}, {\"cell\": \"8 (3.25)\", \"bbox\": [87, 306, 112, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 306, 179, 316]}, {\"cell\": \"0.38\", \"bbox\": [213, 306, 228, 316]}, {\"cell\": \" >60 pack years\", \"bbox\": [5, 318, 55, 328]}, {\"cell\": \"26 (10.57)*\", \"bbox\": [87, 318, 123, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 318, 179, 328]}, {\"cell\": \"0.01\", \"bbox\": [213, 318, 228, 328]}, {\"cell\": \" Passive smokers\", \"bbox\": [5, 331, 58, 340]}, {\"cell\": \"38 (15.45)*\", \"bbox\": [87, 331, 123, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 331, 166, 340]}, {\"cell\": \"<0.001\", \"bbox\": [209, 331, 232, 340]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4836067_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}12{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Derivation cohort (<i>n</i> = 200)<sup>a</sup></b></td><td><b>Validation cohort (<i>n</i> = 200)<sup>a</sup></b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>51 ± 18</td><td>48 ± 17</td><td>0.14</td></tr><tr><td>[EMPTY_CELL]</td><td>100 (50%)</td><td>100 (50%)</td><td>1.0</td></tr><tr><td>[EMPTY_CELL]</td><td>173 ± 14</td><td>174 ± 10</td><td>0.44</td></tr><tr><td>[EMPTY_CELL]</td><td>77 ± 16</td><td>78 ± 18</td><td>0.79</td></tr><tr><td>[EMPTY_CELL]</td><td>1.9 ± 0.3</td><td>1.9 ± 0.2</td><td>0.95</td></tr><tr><td>[EMPTY_CELL]</td><td>180 ± 63</td><td>183 ± 63</td><td>0.56</td></tr><tr><td>[EMPTY_CELL]</td><td>94 ± 29</td><td>95 ± 32</td><td>0.61</td></tr><tr><td>[EMPTY_CELL]</td><td>91 ± 57</td><td>88 ± 57</td><td>0.81</td></tr><tr><td>[EMPTY_CELL]</td><td>47 ± 28</td><td>46 ± 29</td><td>0.95</td></tr><tr><td>[EMPTY_CELL]</td><td>89 ± 27</td><td>95 ± 25</td><td>0.02*</td></tr><tr><td>[EMPTY_CELL]</td><td>47 ± 14</td><td>50 ± 11</td><td>0.01*</td></tr><tr><td>[EMPTY_CELL]</td><td>52 ± 12</td><td>54 ± 11</td><td>0.06</td></tr><tr><td>[EMPTY_CELL]</td><td>138 ± 46</td><td>137 ± 53</td><td>0.75</td></tr><tr><td>[EMPTY_CELL]</td><td>71 ± 19</td><td>72 ± 23</td><td>0.95</td></tr><tr><td>[EMPTY_CELL]</td><td>28 ± 4</td><td>28 ± 4</td><td>0.51</td></tr><tr><td>[EMPTY_CELL]</td><td>40 ± 4</td><td>40 ± 5</td><td>0.71</td></tr><tr><td>[EMPTY_CELL]</td><td>10 ± 2</td><td>10 ± 2</td><td>0.45</td></tr><tr><td>[EMPTY_CELL]</td><td>1030 ± 43</td><td>1023 ± 45</td><td>0.07</td></tr><tr><td>[EMPTY_CELL]</td><td>0.00064 ± 0.00004</td><td>0.00064 ± 0.00004</td><td>0.49</td></tr><tr><td>[EMPTY_CELL]</td><td>0.00061 ± 0.00005</td><td>0.00061 ± 0.00005</td><td>0.98</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"<b>Derivation cohort (<i>n</i> = 200)<sup>a</sup></b>\", \"bbox\": [152, 2, 242, 13]}, {\"cell\": \"<b>Validation cohort (<i>n</i> = 200)<sup>a</sup></b>\", \"bbox\": [306, 2, 395, 13]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 38, 27]}, {\"cell\": \"51 ± 18\", \"bbox\": [152, 17, 177, 27]}, {\"cell\": \"48 ± 17\", \"bbox\": [306, 17, 331, 27]}, {\"cell\": \"0.14\", \"bbox\": [463, 17, 478, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 58, 41]}, {\"cell\": \"100 (50%)\", \"bbox\": [152, 31, 185, 41]}, {\"cell\": \"100 (50%)\", \"bbox\": [306, 31, 340, 41]}, {\"cell\": \"1.0\", \"bbox\": [463, 31, 474, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 40, 55]}, {\"cell\": \"173 ± 14\", \"bbox\": [152, 45, 181, 55]}, {\"cell\": \"174 ± 10\", \"bbox\": [306, 45, 335, 55]}, {\"cell\": \"0.44\", \"bbox\": [463, 45, 478, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 40, 69]}, {\"cell\": \"77 ± 16\", \"bbox\": [152, 59, 177, 69]}, {\"cell\": \"78 ± 18\", \"bbox\": [306, 59, 331, 69]}, {\"cell\": \"0.79\", \"bbox\": [463, 59, 478, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 31, 83]}, {\"cell\": \"1.9 ± 0.3\", \"bbox\": [152, 73, 180, 83]}, {\"cell\": \"1.9 ± 0.2\", \"bbox\": [306, 73, 334, 83]}, {\"cell\": \"0.95\", \"bbox\": [463, 73, 478, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 38, 97]}, {\"cell\": \"180 ± 63\", \"bbox\": [152, 87, 181, 97]}, {\"cell\": \"183 ± 63\", \"bbox\": [306, 87, 335, 97]}, {\"cell\": \"0.56\", \"bbox\": [463, 87, 478, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 51, 111]}, {\"cell\": \"94 ± 29\", \"bbox\": [152, 101, 177, 111]}, {\"cell\": \"95 ± 32\", \"bbox\": [306, 101, 331, 111]}, {\"cell\": \"0.61\", \"bbox\": [463, 101, 478, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 36, 125]}, {\"cell\": \"91 ± 57\", \"bbox\": [152, 115, 177, 125]}, {\"cell\": \"88 ± 57\", \"bbox\": [306, 115, 331, 125]}, {\"cell\": \"0.81\", \"bbox\": [463, 115, 478, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 50, 139]}, {\"cell\": \"47 ± 28\", \"bbox\": [152, 129, 177, 139]}, {\"cell\": \"46 ± 29\", \"bbox\": [306, 129, 331, 139]}, {\"cell\": \"0.95\", \"bbox\": [463, 129, 478, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 32, 153]}, {\"cell\": \"89 ± 27\", \"bbox\": [152, 143, 177, 153]}, {\"cell\": \"95 ± 25\", \"bbox\": [306, 143, 331, 153]}, {\"cell\": \"0.02*\", \"bbox\": [463, 143, 481, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 46, 167]}, {\"cell\": \"47 ± 14\", \"bbox\": [152, 157, 177, 167]}, {\"cell\": \"50 ± 11\", \"bbox\": [306, 157, 331, 167]}, {\"cell\": \"0.01*\", \"bbox\": [463, 157, 481, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 30, 181]}, {\"cell\": \"52 ± 12\", \"bbox\": [152, 171, 177, 181]}, {\"cell\": \"54 ± 11\", \"bbox\": [306, 171, 331, 181]}, {\"cell\": \"0.06\", \"bbox\": [463, 171, 478, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 27, 195]}, {\"cell\": \"138 ± 46\", \"bbox\": [152, 185, 181, 195]}, {\"cell\": \"137 ± 53\", \"bbox\": [306, 185, 335, 195]}, {\"cell\": \"0.75\", \"bbox\": [463, 185, 478, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 197, 41, 209]}, {\"cell\": \"71 ± 19\", \"bbox\": [152, 199, 177, 209]}, {\"cell\": \"72 ± 23\", \"bbox\": [306, 199, 331, 209]}, {\"cell\": \"0.95\", \"bbox\": [463, 199, 478, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 27, 223]}, {\"cell\": \"28 ± 4\", \"bbox\": [152, 213, 173, 223]}, {\"cell\": \"28 ± 4\", \"bbox\": [306, 213, 328, 223]}, {\"cell\": \"0.51\", \"bbox\": [463, 213, 478, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 50, 237]}, {\"cell\": \"40 ± 4\", \"bbox\": [152, 227, 173, 237]}, {\"cell\": \"40 ± 5\", \"bbox\": [306, 227, 328, 237]}, {\"cell\": \"0.71\", \"bbox\": [463, 227, 478, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 88, 251]}, {\"cell\": \"10 ± 2\", \"bbox\": [152, 241, 173, 251]}, {\"cell\": \"10 ± 2\", \"bbox\": [306, 241, 328, 251]}, {\"cell\": \"0.45\", \"bbox\": [463, 241, 478, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 63, 265]}, {\"cell\": \"1030 ± 43\", \"bbox\": [152, 255, 185, 265]}, {\"cell\": \"1023 ± 45\", \"bbox\": [306, 255, 339, 265]}, {\"cell\": \"0.07\", \"bbox\": [463, 255, 478, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 267, 74, 279]}, {\"cell\": \"0.00064 ± 0.00004\", \"bbox\": [152, 269, 210, 279]}, {\"cell\": \"0.00064 ± 0.00004\", \"bbox\": [306, 269, 365, 279]}, {\"cell\": \"0.49\", \"bbox\": [463, 269, 478, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 281, 77, 293]}, {\"cell\": \"0.00061 ± 0.00005\", \"bbox\": [152, 283, 210, 293]}, {\"cell\": \"0.00061 ± 0.00005\", \"bbox\": [306, 283, 365, 293]}, {\"cell\": \"0.98\", \"bbox\": [463, 283, 478, 293]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5381013_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}13{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Dairy Intake (servings)</b></td><td rowspan=\\\"2\\\"><b><i>P</i>for trend<sup>a</sup></b></td><td rowspan=\\\"2\\\"><b>HR (95% CI) for one serving/day</b></td></tr><tr><td><b>Variable</b></td><td><b>Category 1</b></td><td><b>Category 2</b></td><td><b>Category 3</b></td><td><b>Category 4</b></td></tr></thead><tbody><tr><td><b>Skim/low-fat milk</b></td><td><1/week</td><td>1 to 4/week</td><td>5/week to 1.4/day</td><td>≥1.5/day</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Direct update<sup>b</sup></td><td>1.00</td><td>1.11 (1.05, 1.17)</td><td>1.16 (1.10, 1.22)</td><td>1.19 (1.12, 1.26)</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>Stop updating CVD and cancer</td><td>1.00</td><td>1.02 (0.97, 1.07)</td><td>1.07 (1.02, 1.12)</td><td>1.08 (1.02, 1.15)</td><td>0.006</td><td>[EMPTY_CELL]</td></tr><tr><td>Stop updating + HTHC<sup>c</sup></td><td>1.00</td><td>0.94 (0.90, 0.99)</td><td>0.97 (0.93, 1.01)</td><td>1.02 (0.97, 1.07)</td><td>0.25</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Cheese intake</b></td><td><1/week</td><td>1 to 4/week</td><td>5/week to 1.4/day</td><td>≥1.5/day</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Direct update</td><td>1.00</td><td>0.97 (0.93, 1.01)</td><td>1.07 (1.03, 1.12)</td><td>1.19 (1.06, 1.33)</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>Stop updating CVD and cancer</td><td>1.00</td><td>0.96 (0.92, 1.00)</td><td>1.01 (0.98, 1.05)</td><td>1.08 (0.96, 1.20)</td><td>0.004</td><td>[EMPTY_CELL]</td></tr><tr><td>Stop updating + HTHC</td><td>1.00</td><td>0.96 (0.92, 1.00)</td><td>1.00 (0.98, 1.03)</td><td>1.02 (0.92, 1.13)</td><td>0.41</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Yogurt</b></td><td><1/month</td><td>1 to 3/month</td><td>1/week</td><td>≥2/week</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Direct update</td><td>1.00</td><td>1.01 (0.97, 1.06)</td><td>0.96 (0.92, 1.01)</td><td>0.91 (0.86, 0.96)</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>Stop updating CVD and cancer</td><td>1.00</td><td>1.00 (0.96, 1.05)</td><td>0.93 (0.89, 0.97)</td><td>0.88 (0.83, 0.93)</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>Stop updating + HTHC</td><td>1.00</td><td>0.97 (0.93, 1.02)</td><td>0.92 (0.88, 0.97)</td><td>0.87 (0.82, 0.91)</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Ice cream</b></td><td><1/month</td><td>1 to 3/month</td><td>1/week</td><td>≥2/week</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Direct update</td><td>1.00</td><td>0.85 (0.82, 0.89)</td><td>0.77 (0.73, 0.81)</td><td>0.68 (0.63, 0.72)</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>Stop updating CVD and cancer</td><td>1.00</td><td>0.87 (0.84, 0.91)</td><td>0.78 (0.74, 0.82)</td><td>0.74 (0.70, 0.79)</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>Stop updating + HTHC</td><td>1.00</td><td>0.96 (0.92, 1.00)</td><td>0.89 (0.85, 0.94)</td><td>0.89 (0.84, 0.94)</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Whole milk</b></td><td><1/month</td><td>1 to 3/month</td><td>1/week</td><td>≥2/week</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Direct update</td><td>1.00</td><td>1.03 (0.98, 1.10)</td><td>0.99 (0.94, 1.05)</td><td>1.12 (1.05, 1.19)</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>Stop updating CVD and cancer</td><td>1.00</td><td>1.01 (0.96, 1.07)</td><td>1.00 (0.94, 1.05)</td><td>1.08 (1.02, 1.14)</td><td>0.02</td><td>[EMPTY_CELL]</td></tr><tr><td>Stop updating + HTHC</td><td>1.00</td><td>0.96 (0.90, 1.01)</td><td>1.04 (0.98, 1.11)</td><td>1.03 (0.98, 1.08)</td><td>0.15</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Dairy Intake (servings)</b>\", \"bbox\": [197, 4, 276, 13]}, {\"cell\": \"<b><i>P</i>for trend<sup>a</sup></b>\", \"bbox\": [371, 2, 413, 13]}, {\"cell\": \"<b>HR (95% CI) for one serving/day</b>\", \"bbox\": [426, 4, 484, 22]}, {\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 17, 31, 27]}, {\"cell\": \"<b>Category 1</b>\", \"bbox\": [116, 17, 156, 27]}, {\"cell\": \"<b>Category 2</b>\", \"bbox\": [175, 17, 215, 27]}, {\"cell\": \"<b>Category 3</b>\", \"bbox\": [243, 17, 283, 27]}, {\"cell\": \"<b>Category 4</b>\", \"bbox\": [312, 17, 352, 27]}, {\"cell\": \"<b>Skim/low-fat milk</b>\", \"bbox\": [1, 30, 63, 40]}, {\"cell\": \"<1/week\", \"bbox\": [121, 30, 151, 40]}, {\"cell\": \"1 to 4/week\", \"bbox\": [174, 30, 215, 40]}, {\"cell\": \"5/week to 1.4/day\", \"bbox\": [233, 30, 293, 40]}, {\"cell\": \"≥1.5/day\", \"bbox\": [317, 30, 347, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct update<sup>b</sup>\", \"bbox\": [1, 43, 50, 54]}, {\"cell\": \"1.00\", \"bbox\": [128, 44, 143, 54]}, {\"cell\": \"1.11 (1.05, 1.17)\", \"bbox\": [169, 44, 220, 54]}, {\"cell\": \"1.16 (1.10, 1.22)\", \"bbox\": [238, 44, 289, 54]}, {\"cell\": \"1.19 (1.12, 1.26)\", \"bbox\": [306, 44, 357, 54]}, {\"cell\": \"<0.001\", \"bbox\": [380, 44, 404, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 44, 481, 54]}, {\"cell\": \"Stop updating CVD and cancer\", \"bbox\": [1, 58, 102, 68]}, {\"cell\": \"1.00\", \"bbox\": [128, 58, 143, 68]}, {\"cell\": \"1.02 (0.97, 1.07)\", \"bbox\": [169, 58, 220, 68]}, {\"cell\": \"1.07 (1.02, 1.12)\", \"bbox\": [238, 58, 289, 68]}, {\"cell\": \"1.08 (1.02, 1.15)\", \"bbox\": [306, 58, 357, 68]}, {\"cell\": \"0.006\", \"bbox\": [382, 58, 401, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 58, 481, 68]}, {\"cell\": \"Stop updating + HTHC<sup>c</sup>\", \"bbox\": [1, 71, 77, 82]}, {\"cell\": \"1.00\", \"bbox\": [128, 72, 143, 82]}, {\"cell\": \"0.94 (0.90, 0.99)\", \"bbox\": [169, 72, 220, 82]}, {\"cell\": \"0.97 (0.93, 1.01)\", \"bbox\": [238, 72, 289, 82]}, {\"cell\": \"1.02 (0.97, 1.07)\", \"bbox\": [306, 72, 357, 82]}, {\"cell\": \"0.25\", \"bbox\": [384, 72, 399, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 72, 481, 82]}, {\"cell\": \"<b>Cheese intake</b>\", \"bbox\": [1, 86, 51, 96]}, {\"cell\": \"<1/week\", \"bbox\": [121, 86, 151, 96]}, {\"cell\": \"1 to 4/week\", \"bbox\": [174, 86, 215, 96]}, {\"cell\": \"5/week to 1.4/day\", \"bbox\": [233, 86, 293, 96]}, {\"cell\": \"≥1.5/day\", \"bbox\": [317, 86, 347, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct update\", \"bbox\": [1, 100, 46, 110]}, {\"cell\": \"1.00\", \"bbox\": [128, 100, 143, 110]}, {\"cell\": \"0.97 (0.93, 1.01)\", \"bbox\": [169, 100, 220, 110]}, {\"cell\": \"1.07 (1.03, 1.12)\", \"bbox\": [238, 100, 289, 110]}, {\"cell\": \"1.19 (1.06, 1.33)\", \"bbox\": [306, 100, 357, 110]}, {\"cell\": \"<0.001\", \"bbox\": [380, 100, 404, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 100, 481, 110]}, {\"cell\": \"Stop updating CVD and cancer\", \"bbox\": [1, 114, 102, 124]}, {\"cell\": \"1.00\", \"bbox\": [128, 114, 143, 124]}, {\"cell\": \"0.96 (0.92, 1.00)\", \"bbox\": [169, 114, 220, 124]}, {\"cell\": \"1.01 (0.98, 1.05)\", \"bbox\": [238, 114, 289, 124]}, {\"cell\": \"1.08 (0.96, 1.20)\", \"bbox\": [306, 114, 357, 124]}, {\"cell\": \"0.004\", \"bbox\": [382, 114, 401, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 114, 481, 124]}, {\"cell\": \"Stop updating + HTHC\", \"bbox\": [1, 128, 75, 138]}, {\"cell\": \"1.00\", \"bbox\": [128, 128, 143, 138]}, {\"cell\": \"0.96 (0.92, 1.00)\", \"bbox\": [169, 128, 220, 138]}, {\"cell\": \"1.00 (0.98, 1.03)\", \"bbox\": [238, 128, 289, 138]}, {\"cell\": \"1.02 (0.92, 1.13)\", \"bbox\": [306, 128, 357, 138]}, {\"cell\": \"0.41\", \"bbox\": [384, 128, 399, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 128, 481, 138]}, {\"cell\": \"<b>Yogurt</b>\", \"bbox\": [1, 142, 26, 152]}, {\"cell\": \"<1/month\", \"bbox\": [118, 142, 153, 152]}, {\"cell\": \"1 to 3/month\", \"bbox\": [172, 142, 217, 152]}, {\"cell\": \"1/week\", \"bbox\": [251, 142, 276, 152]}, {\"cell\": \"≥2/week\", \"bbox\": [317, 142, 347, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct update\", \"bbox\": [1, 156, 46, 166]}, {\"cell\": \"1.00\", \"bbox\": [128, 156, 143, 166]}, {\"cell\": \"1.01 (0.97, 1.06)\", \"bbox\": [169, 156, 220, 166]}, {\"cell\": \"0.96 (0.92, 1.01)\", \"bbox\": [238, 156, 289, 166]}, {\"cell\": \"0.91 (0.86, 0.96)\", \"bbox\": [306, 156, 357, 166]}, {\"cell\": \"<0.001\", \"bbox\": [380, 156, 404, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 156, 481, 166]}, {\"cell\": \"Stop updating CVD and cancer\", \"bbox\": [1, 170, 102, 180]}, {\"cell\": \"1.00\", \"bbox\": [128, 170, 143, 180]}, {\"cell\": \"1.00 (0.96, 1.05)\", \"bbox\": [169, 170, 220, 180]}, {\"cell\": \"0.93 (0.89, 0.97)\", \"bbox\": [238, 170, 289, 180]}, {\"cell\": \"0.88 (0.83, 0.93)\", \"bbox\": [306, 170, 357, 180]}, {\"cell\": \"<0.001\", \"bbox\": [380, 170, 404, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 170, 481, 180]}, {\"cell\": \"Stop updating + HTHC\", \"bbox\": [1, 184, 75, 194]}, {\"cell\": \"1.00\", \"bbox\": [128, 184, 143, 194]}, {\"cell\": \"0.97 (0.93, 1.02)\", \"bbox\": [169, 184, 220, 194]}, {\"cell\": \"0.92 (0.88, 0.97)\", \"bbox\": [238, 184, 289, 194]}, {\"cell\": \"0.87 (0.82, 0.91)\", \"bbox\": [306, 184, 357, 194]}, {\"cell\": \"<0.001\", \"bbox\": [380, 184, 404, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 184, 481, 194]}, {\"cell\": \"<b>Ice cream</b>\", \"bbox\": [1, 198, 36, 208]}, {\"cell\": \"<1/month\", \"bbox\": [118, 198, 153, 208]}, {\"cell\": \"1 to 3/month\", \"bbox\": [172, 198, 217, 208]}, {\"cell\": \"1/week\", \"bbox\": [251, 198, 276, 208]}, {\"cell\": \"≥2/week\", \"bbox\": [317, 198, 347, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct update\", \"bbox\": [1, 212, 46, 222]}, {\"cell\": \"1.00\", \"bbox\": [128, 212, 143, 222]}, {\"cell\": \"0.85 (0.82, 0.89)\", \"bbox\": [169, 212, 220, 222]}, {\"cell\": \"0.77 (0.73, 0.81)\", \"bbox\": [238, 212, 289, 222]}, {\"cell\": \"0.68 (0.63, 0.72)\", \"bbox\": [306, 212, 357, 222]}, {\"cell\": \"<0.001\", \"bbox\": [380, 212, 404, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 212, 481, 222]}, {\"cell\": \"Stop updating CVD and cancer\", \"bbox\": [1, 226, 102, 236]}, {\"cell\": \"1.00\", \"bbox\": [128, 226, 143, 236]}, {\"cell\": \"0.87 (0.84, 0.91)\", \"bbox\": [169, 226, 220, 236]}, {\"cell\": \"0.78 (0.74, 0.82)\", \"bbox\": [238, 226, 289, 236]}, {\"cell\": \"0.74 (0.70, 0.79)\", \"bbox\": [306, 226, 357, 236]}, {\"cell\": \"<0.001\", \"bbox\": [380, 226, 404, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 226, 481, 236]}, {\"cell\": \"Stop updating + HTHC\", \"bbox\": [1, 240, 75, 250]}, {\"cell\": \"1.00\", \"bbox\": [128, 240, 143, 250]}, {\"cell\": \"0.96 (0.92, 1.00)\", \"bbox\": [169, 240, 220, 250]}, {\"cell\": \"0.89 (0.85, 0.94)\", \"bbox\": [238, 240, 289, 250]}, {\"cell\": \"0.89 (0.84, 0.94)\", \"bbox\": [306, 240, 357, 250]}, {\"cell\": \"<0.001\", \"bbox\": [380, 240, 404, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 240, 481, 250]}, {\"cell\": \"<b>Whole milk</b>\", \"bbox\": [1, 254, 42, 264]}, {\"cell\": \"<1/month\", \"bbox\": [118, 254, 153, 264]}, {\"cell\": \"1 to 3/month\", \"bbox\": [172, 254, 217, 264]}, {\"cell\": \"1/week\", \"bbox\": [251, 254, 276, 264]}, {\"cell\": \"≥2/week\", \"bbox\": [317, 254, 347, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Direct update\", \"bbox\": [1, 268, 46, 278]}, {\"cell\": \"1.00\", \"bbox\": [128, 268, 143, 278]}, {\"cell\": \"1.03 (0.98, 1.10)\", \"bbox\": [169, 268, 220, 278]}, {\"cell\": \"0.99 (0.94, 1.05)\", \"bbox\": [238, 268, 289, 278]}, {\"cell\": \"1.12 (1.05, 1.19)\", \"bbox\": [306, 268, 357, 278]}, {\"cell\": \"<0.001\", \"bbox\": [380, 268, 404, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 268, 481, 278]}, {\"cell\": \"Stop updating CVD and cancer\", \"bbox\": [1, 282, 102, 292]}, {\"cell\": \"1.00\", \"bbox\": [128, 282, 143, 292]}, {\"cell\": \"1.01 (0.96, 1.07)\", \"bbox\": [169, 282, 220, 292]}, {\"cell\": \"1.00 (0.94, 1.05)\", \"bbox\": [238, 282, 289, 292]}, {\"cell\": \"1.08 (1.02, 1.14)\", \"bbox\": [306, 282, 357, 292]}, {\"cell\": \"0.02\", \"bbox\": [384, 282, 399, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 282, 481, 292]}, {\"cell\": \"Stop updating + HTHC\", \"bbox\": [1, 296, 75, 306]}, {\"cell\": \"1.00\", \"bbox\": [128, 296, 143, 306]}, {\"cell\": \"0.96 (0.90, 1.01)\", \"bbox\": [169, 296, 220, 306]}, {\"cell\": \"1.04 (0.98, 1.11)\", \"bbox\": [238, 296, 289, 306]}, {\"cell\": \"1.03 (0.98, 1.08)\", \"bbox\": [306, 296, 357, 306]}, {\"cell\": \"0.15\", \"bbox\": [384, 296, 399, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 296, 481, 306]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4243376_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}14{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Dimension of inequality</b></td></tr><tr><td><b>Summary measure</b></td><td><b>Dimension with 2 subgroups</b></td><td><b>Non-ordered dimension with more than 2 subgroups</b></td><td><b>Ordered dimension with more than 2 subgroups</b></td></tr></thead><tbody><tr><td><b>Absolute measures</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Absolute concentration index (ACI)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Between-group variance (BGV)</td><td>[EMPTY_CELL]</td><td>✓*</td><td>[EMPTY_CELL]</td></tr><tr><td>Difference (D)</td><td>✓</td><td>✓</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean difference from best performing subgroup (MDB)</td><td>[EMPTY_CELL]</td><td>✓*</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean difference from mean (MDM)</td><td>[EMPTY_CELL]</td><td>✓*</td><td>[EMPTY_CELL]</td></tr><tr><td>Population attributable risk (PAR)</td><td>✓*</td><td>✓*</td><td>[EMPTY_CELL]</td></tr><tr><td>Slope index of inequality (SII)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Relative measures</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Index of disparity (IDIS)</td><td>[EMPTY_CELL]</td><td>✓*</td><td>[EMPTY_CELL]</td></tr><tr><td>Index of disparity (weighted) (IDISW)</td><td>[EMPTY_CELL]</td><td>✓*</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean log deviation (MLD)</td><td>[EMPTY_CELL]</td><td>✓*</td><td>[EMPTY_CELL]</td></tr><tr><td>Population attributable fraction (PAF)</td><td>✓*</td><td>✓*</td><td>[EMPTY_CELL]</td></tr><tr><td>Ratio (R)</td><td>✓</td><td>✓</td><td>[EMPTY_CELL]</td></tr><tr><td>Relative concentration index (RCI)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Relative index of inequality (RII)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Theil index (TI)</td><td>[EMPTY_CELL]</td><td>✓*</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Dimension of inequality</b>\", \"bbox\": [270, 4, 348, 14]}, {\"cell\": \"<b>Summary measure</b>\", \"bbox\": [5, 26, 65, 35]}, {\"cell\": \"<b>Dimension with 2 subgroups</b>\", \"bbox\": [151, 17, 209, 35]}, {\"cell\": \"<b>Non-ordered dimension with more than 2 subgroups</b>\", \"bbox\": [221, 17, 350, 35]}, {\"cell\": \"<b>Ordered dimension with more than 2 subgroups</b>\", \"bbox\": [355, 17, 474, 35]}, {\"cell\": \"<b>Absolute measures</b>\", \"bbox\": [5, 38, 71, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Absolute concentration index (ACI)\", \"bbox\": [5, 47, 117, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 47, 420, 56]}, {\"cell\": \"Between-group variance (BGV)\", \"bbox\": [5, 56, 103, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 56, 291, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Difference (D)\", \"bbox\": [5, 65, 50, 74]}, {\"cell\": \"✓\", \"bbox\": [176, 65, 184, 72]}, {\"cell\": \"✓\", \"bbox\": [281, 65, 289, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [410, 65, 418, 72]}, {\"cell\": \"Mean difference from best performing subgroup (MDB)\", \"bbox\": [5, 74, 128, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 74, 291, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean difference from mean (MDM)\", \"bbox\": [5, 92, 119, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 92, 291, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Population attributable risk (PAR)\", \"bbox\": [5, 101, 112, 110]}, {\"cell\": \"✓*\", \"bbox\": [174, 101, 186, 110]}, {\"cell\": \"✓*\", \"bbox\": [280, 101, 291, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 101, 420, 110]}, {\"cell\": \"Slope index of inequality (SII)\", \"bbox\": [5, 110, 100, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 110, 421, 119]}, {\"cell\": \"<b>Relative measures</b>\", \"bbox\": [5, 119, 68, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Index of disparity (IDIS)\", \"bbox\": [5, 128, 81, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 128, 291, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Index of disparity (weighted) (IDISW)\", \"bbox\": [5, 137, 123, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 137, 291, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean log deviation (MLD)\", \"bbox\": [5, 146, 89, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 146, 291, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Population attributable fraction (PAF)\", \"bbox\": [5, 155, 125, 164]}, {\"cell\": \"✓*\", \"bbox\": [174, 155, 186, 164]}, {\"cell\": \"✓*\", \"bbox\": [280, 155, 291, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 155, 420, 164]}, {\"cell\": \"Ratio (R)\", \"bbox\": [4, 164, 33, 173]}, {\"cell\": \"✓\", \"bbox\": [176, 164, 184, 172]}, {\"cell\": \"✓\", \"bbox\": [281, 164, 289, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [410, 164, 418, 172]}, {\"cell\": \"Relative concentration index (RCI)\", \"bbox\": [4, 173, 113, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 173, 420, 182]}, {\"cell\": \"Relative index of inequality (RII)\", \"bbox\": [4, 182, 107, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 182, 421, 191]}, {\"cell\": \"Theil index (TI)\", \"bbox\": [4, 191, 54, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"✓*\", \"bbox\": [280, 191, 291, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6041818_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}15{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>DNA</b></td><td colspan=\\\"2\\\"><b>Protein</b></td></tr><tr><td><b>Topology</b></td><td><b>Δ lnl</b></td><td><b>Pvalue</b></td><td><b>Δ lnl</b></td><td><b>Pvalue</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>5.7</td><td>0.579</td><td>BEST</td><td>0.771</td></tr><tr><td>[EMPTY_CELL]</td><td>BEST</td><td>0.726</td><td>16.3</td><td>0.255</td></tr><tr><td>[EMPTY_CELL]</td><td>19.9</td><td>0.003*</td><td>21.2</td><td>0.007*</td></tr><tr><td>[EMPTY_CELL]</td><td>17.0</td><td>0.084</td><td>9.5</td><td>0.106</td></tr><tr><td>[EMPTY_CELL]</td><td>15.4</td><td>0.169</td><td>1.4</td><td>0.623</td></tr><tr><td>[EMPTY_CELL]</td><td>6.6</td><td>0.344</td><td>13.2</td><td>0.080</td></tr><tr><td>[EMPTY_CELL]</td><td>8.7</td><td>0.120</td><td>20.4</td><td>0.048*</td></tr><tr><td>[EMPTY_CELL]</td><td>17.5</td><td>0.051</td><td>6.1</td><td>0.284</td></tr><tr><td>[EMPTY_CELL]</td><td>17.6</td><td>0.104</td><td>7.0</td><td>0.294</td></tr><tr><td>[EMPTY_CELL]</td><td>3.8</td><td>0.533</td><td>5.0</td><td>0.402</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DNA</b>\", \"bbox\": [373, 4, 393, 14]}, {\"cell\": \"<b>Protein</b>\", \"bbox\": [448, 4, 475, 14]}, {\"cell\": \"<b>Topology</b>\", \"bbox\": [4, 27, 38, 36]}, {\"cell\": \"<b>Δ lnl</b>\", \"bbox\": [354, 27, 371, 36]}, {\"cell\": \"<b>Pvalue</b>\", \"bbox\": [390, 27, 413, 36]}, {\"cell\": \"<b>Δ lnl</b>\", \"bbox\": [432, 27, 449, 36]}, {\"cell\": \"<b>Pvalue</b>\", \"bbox\": [468, 27, 491, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 92, 59]}, {\"cell\": \"5.7\", \"bbox\": [356, 49, 368, 59]}, {\"cell\": \"0.579\", \"bbox\": [391, 49, 411, 59]}, {\"cell\": \"BEST\", \"bbox\": [431, 49, 450, 59]}, {\"cell\": \"0.771\", \"bbox\": [469, 49, 490, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 59, 243, 69]}, {\"cell\": \"BEST\", \"bbox\": [352, 59, 372, 69]}, {\"cell\": \"0.726\", \"bbox\": [391, 59, 411, 69]}, {\"cell\": \"16.3\", \"bbox\": [432, 59, 448, 69]}, {\"cell\": \"0.255\", \"bbox\": [469, 59, 490, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 69, 238, 79]}, {\"cell\": \"19.9\", \"bbox\": [354, 69, 370, 79]}, {\"cell\": \"0.003*\", \"bbox\": [389, 69, 413, 79]}, {\"cell\": \"21.2\", \"bbox\": [432, 69, 448, 79]}, {\"cell\": \"0.007*\", \"bbox\": [468, 69, 491, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 80, 237, 89]}, {\"cell\": \"17.0\", \"bbox\": [354, 80, 370, 89]}, {\"cell\": \"0.084\", \"bbox\": [391, 80, 411, 89]}, {\"cell\": \"9.5\", \"bbox\": [434, 80, 446, 89]}, {\"cell\": \"0.106\", \"bbox\": [469, 80, 490, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 90, 238, 100]}, {\"cell\": \"15.4\", \"bbox\": [354, 90, 370, 100]}, {\"cell\": \"0.169\", \"bbox\": [391, 90, 411, 100]}, {\"cell\": \"1.4\", \"bbox\": [434, 90, 446, 100]}, {\"cell\": \"0.623\", \"bbox\": [469, 90, 490, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 100, 111, 110]}, {\"cell\": \"6.6\", \"bbox\": [356, 100, 368, 110]}, {\"cell\": \"0.344\", \"bbox\": [391, 100, 411, 110]}, {\"cell\": \"13.2\", \"bbox\": [432, 100, 448, 110]}, {\"cell\": \"0.080\", \"bbox\": [469, 100, 490, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 110, 101, 120]}, {\"cell\": \"8.7\", \"bbox\": [356, 110, 368, 120]}, {\"cell\": \"0.120\", \"bbox\": [391, 110, 411, 120]}, {\"cell\": \"20.4\", \"bbox\": [432, 110, 448, 120]}, {\"cell\": \"0.048*\", \"bbox\": [468, 110, 491, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 121, 238, 130]}, {\"cell\": \"17.5\", \"bbox\": [354, 121, 370, 130]}, {\"cell\": \"0.051\", \"bbox\": [391, 121, 411, 130]}, {\"cell\": \"6.1\", \"bbox\": [434, 121, 446, 130]}, {\"cell\": \"0.284\", \"bbox\": [469, 121, 490, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 131, 238, 141]}, {\"cell\": \"17.6\", \"bbox\": [354, 131, 370, 141]}, {\"cell\": \"0.104\", \"bbox\": [391, 131, 411, 141]}, {\"cell\": \"7.0\", \"bbox\": [434, 131, 446, 141]}, {\"cell\": \"0.294\", \"bbox\": [469, 131, 490, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 141, 134, 151]}, {\"cell\": \"3.8\", \"bbox\": [356, 141, 368, 151]}, {\"cell\": \"0.533\", \"bbox\": [391, 141, 411, 151]}, {\"cell\": \"5.0\", \"bbox\": [434, 141, 446, 151]}, {\"cell\": \"0.402\", \"bbox\": [469, 141, 490, 151]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1802082_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}16{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Spiked Levela</b></td><td colspan=\\\"7\\\"><b>% Recoveryb</b></td></tr><tr><td><b>Imp-1</b></td><td><b>Imp-2</b></td><td><b>Imp-3</b></td><td><b>Imp-4</b></td><td><b>Imp-5</b></td><td><b>Imp-6</b></td><td><b>Imp-7</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>94.2 ± 3.6</td><td>99.1 ± 2.6</td><td>95.7 ± 3.5</td><td>104.8 ± 0.4</td><td>104.7 ± 2.7</td><td>105.4 ± 2.0</td><td>96.5 ± 3.1</td></tr><tr><td>[EMPTY_CELL]</td><td>96.0 ± 1.6</td><td>109.1 ± 3.3</td><td>95.5 ± 3.9</td><td>93.2 ± 2.7</td><td>106.1 ± 1.9</td><td>95.2 ± 3.2</td><td>103.2 ± 1.3</td></tr><tr><td>[EMPTY_CELL]</td><td>96.8 ± 1.1</td><td>94.1 ± 3.0</td><td>98.9 ± 2.9</td><td>93.8 ± 3.3</td><td>95.8 ± 1.9</td><td>99.1 ± 1.9</td><td>101.8 ± 1.1</td></tr><tr><td>[EMPTY_CELL]</td><td>92.0 ± 1.7</td><td>94.6 ± 1.3</td><td>93.8 ± 3.1</td><td>94.0 ± 2.8</td><td>103.3 ± 0.2</td><td>101.2 ± 1.9</td><td>98.5 ± 2.8</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Spiked Levela</b>\", \"bbox\": [3, 3, 45, 33]}, {\"cell\": \"<b>% Recoveryb</b>\", \"bbox\": [210, 1, 289, 19]}, {\"cell\": \"<b>Imp-1</b>\", \"bbox\": [73, 17, 107, 33]}, {\"cell\": \"<b>Imp-2</b>\", \"bbox\": [128, 17, 162, 33]}, {\"cell\": \"<b>Imp-3</b>\", \"bbox\": [183, 17, 217, 33]}, {\"cell\": \"<b>Imp-4</b>\", \"bbox\": [235, 17, 269, 33]}, {\"cell\": \"<b>Imp-5</b>\", \"bbox\": [289, 17, 323, 33]}, {\"cell\": \"<b>Imp-6</b>\", \"bbox\": [342, 17, 376, 33]}, {\"cell\": \"<b>Imp-7</b>\", \"bbox\": [393, 17, 427, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 38, 31, 54]}, {\"cell\": \"94.2 ± 3.6\", \"bbox\": [73, 31, 108, 61]}, {\"cell\": \"99.1 ± 2.6\", \"bbox\": [127, 31, 163, 61]}, {\"cell\": \"95.7 ± 3.5\", \"bbox\": [182, 31, 218, 61]}, {\"cell\": \"104.8 ± 0.4\", \"bbox\": [231, 31, 274, 61]}, {\"cell\": \"104.7 ± 2.7\", \"bbox\": [285, 31, 328, 61]}, {\"cell\": \"105.4 ± 2.0\", \"bbox\": [338, 31, 380, 61]}, {\"cell\": \"96.5 ± 3.1\", \"bbox\": [392, 31, 428, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 66, 29, 82]}, {\"cell\": \"96.0 ± 1.6\", \"bbox\": [73, 59, 108, 89]}, {\"cell\": \"109.1 ± 3.3\", \"bbox\": [124, 59, 166, 89]}, {\"cell\": \"95.5 ± 3.9\", \"bbox\": [182, 59, 218, 89]}, {\"cell\": \"93.2 ± 2.7\", \"bbox\": [235, 59, 270, 89]}, {\"cell\": \"106.1 ± 1.9\", \"bbox\": [285, 59, 328, 89]}, {\"cell\": \"95.2 ± 3.2\", \"bbox\": [341, 59, 377, 89]}, {\"cell\": \"103.2 ± 1.3\", \"bbox\": [389, 59, 431, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 93, 36, 109]}, {\"cell\": \"96.8 ± 1.1\", \"bbox\": [73, 86, 108, 116]}, {\"cell\": \"94.1 ± 3.0\", \"bbox\": [127, 86, 163, 116]}, {\"cell\": \"98.9 ± 2.9\", \"bbox\": [182, 86, 218, 116]}, {\"cell\": \"93.8 ± 3.3\", \"bbox\": [235, 86, 270, 116]}, {\"cell\": \"95.8 ± 1.9\", \"bbox\": [289, 86, 324, 116]}, {\"cell\": \"99.1 ± 1.9\", \"bbox\": [341, 86, 377, 116]}, {\"cell\": \"101.8 ± 1.1\", \"bbox\": [389, 86, 431, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 121, 36, 137]}, {\"cell\": \"92.0 ± 1.7\", \"bbox\": [73, 114, 108, 144]}, {\"cell\": \"94.6 ± 1.3\", \"bbox\": [127, 114, 163, 144]}, {\"cell\": \"93.8 ± 3.1\", \"bbox\": [182, 114, 218, 144]}, {\"cell\": \"94.0 ± 2.8\", \"bbox\": [235, 114, 270, 144]}, {\"cell\": \"103.3 ± 0.2\", \"bbox\": [285, 114, 328, 144]}, {\"cell\": \"101.2 ± 1.9\", \"bbox\": [338, 114, 380, 144]}, {\"cell\": \"98.5 ± 2.8\", \"bbox\": [392, 114, 428, 144]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3791934_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}17{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Routine cohort (cross-sectional)</b></td><td><b>Inception cohort (longitudinal)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>767</td><td>106</td></tr><tr><td>[EMPTY_CELL]</td><td>54.1 ± 14.9</td><td>50.5 ± 15.6</td></tr><tr><td>[EMPTY_CELL]</td><td>79.9</td><td>75.2</td></tr><tr><td>[EMPTY_CELL]</td><td>55.3</td><td>78.1</td></tr><tr><td>[EMPTY_CELL]</td><td>8.1 ± 10.6 years</td><td>11.5 ± 12.5 weeks</td></tr><tr><td>[EMPTY_CELL]</td><td>-</td><td>3.2 ± 1.3; 1–7.25</td></tr><tr><td>[EMPTY_CELL]</td><td>At cross-section</td><td>At baseline</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (1;7)</td><td>7 (4;13)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (0;6)</td><td>8 (3;16)</td></tr><tr><td>[EMPTY_CELL]</td><td>23 (14;55)</td><td>49 (24;70)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.1 (0.5;2.7)</td><td>5.1 (1.9;17.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>37 (19;53)</td><td>50 (32;66)</td></tr><tr><td>[EMPTY_CELL]</td><td>37 (18;58)</td><td>51 (33;66)</td></tr><tr><td>[EMPTY_CELL]</td><td>34 (19;49)</td><td>44 (31;58)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.875 (0.25;1.5)</td><td>0.75 (0;1.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>-</td><td>1 (0;7)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>767/767 (100)<sup>a</sup></td><td>105/106 (99.1%)<sup>b</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>720/767 (93.9)</td><td>104/106 (98.1)<sup>b</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>-</td><td>91/100 (91.0%)</td></tr><tr><td>[EMPTY_CELL]</td><td>-</td><td>56/80 (70.0%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [5, 9, 54, 19]}, {\"cell\": \"<b>Routine cohort (cross-sectional)</b>\", \"bbox\": [245, 9, 356, 19]}, {\"cell\": \"<b>Inception cohort (longitudinal)</b>\", \"bbox\": [374, 9, 477, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 25, 45, 35]}, {\"cell\": \"767\", \"bbox\": [245, 25, 261, 35]}, {\"cell\": \"106\", \"bbox\": [374, 25, 390, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 41, 109, 51]}, {\"cell\": \"54.1 ± 14.9\", \"bbox\": [245, 41, 288, 51]}, {\"cell\": \"50.5 ± 15.6\", \"bbox\": [374, 41, 418, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 56, 78, 66]}, {\"cell\": \"79.9\", \"bbox\": [245, 56, 263, 66]}, {\"cell\": \"75.2\", \"bbox\": [374, 56, 392, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 72, 132, 82]}, {\"cell\": \"55.3\", \"bbox\": [245, 72, 263, 82]}, {\"cell\": \"78.1\", \"bbox\": [374, 72, 392, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 87, 169, 97]}, {\"cell\": \"8.1 ± 10.6 years\", \"bbox\": [245, 87, 304, 97]}, {\"cell\": \"11.5 ± 12.5 weeks\", \"bbox\": [374, 87, 441, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 103, 189, 113]}, {\"cell\": \"-\", \"bbox\": [245, 103, 250, 113]}, {\"cell\": \"3.2 ± 1.3; 1–7.25\", \"bbox\": [374, 103, 438, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 118, 202, 128]}, {\"cell\": \"At cross-section\", \"bbox\": [245, 118, 303, 128]}, {\"cell\": \"At baseline\", \"bbox\": [374, 118, 414, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 134, 117, 144]}, {\"cell\": \"3 (1;7)\", \"bbox\": [245, 134, 271, 144]}, {\"cell\": \"7 (4;13)\", \"bbox\": [374, 134, 404, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 149, 114, 159]}, {\"cell\": \"2 (0;6)\", \"bbox\": [245, 149, 270, 159]}, {\"cell\": \"8 (3;16)\", \"bbox\": [374, 149, 404, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 165, 105, 175]}, {\"cell\": \"23 (14;55)\", \"bbox\": [245, 165, 284, 175]}, {\"cell\": \"49 (24;70)\", \"bbox\": [374, 165, 414, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 180, 115, 190]}, {\"cell\": \"1.1 (0.5;2.7)\", \"bbox\": [245, 180, 290, 190]}, {\"cell\": \"5.1 (1.9;17.0)\", \"bbox\": [374, 180, 424, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 196, 165, 206]}, {\"cell\": \"37 (19;53)\", \"bbox\": [245, 196, 284, 206]}, {\"cell\": \"50 (32;66)\", \"bbox\": [374, 196, 414, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 211, 197, 221]}, {\"cell\": \"37 (18;58)\", \"bbox\": [245, 211, 284, 221]}, {\"cell\": \"51 (33;66)\", \"bbox\": [374, 211, 414, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 227, 204, 237]}, {\"cell\": \"34 (19;49)\", \"bbox\": [245, 227, 285, 237]}, {\"cell\": \"44 (31;58)\", \"bbox\": [374, 227, 414, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 242, 65, 252]}, {\"cell\": \"0.875 (0.25;1.5)\", \"bbox\": [245, 242, 304, 252]}, {\"cell\": \"0.75 (0;1.5)\", \"bbox\": [374, 242, 417, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 258, 70, 268]}, {\"cell\": \"-\", \"bbox\": [245, 258, 249, 268]}, {\"cell\": \"1 (0;7)\", \"bbox\": [374, 258, 400, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 273, 121, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 289, 239, 299]}, {\"cell\": \"767/767 (100)<sup>a</sup>\", \"bbox\": [245, 288, 302, 299]}, {\"cell\": \"105/106 (99.1%)<sup>b</sup>\", \"bbox\": [374, 288, 440, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 304, 205, 314]}, {\"cell\": \"720/767 (93.9)\", \"bbox\": [245, 304, 301, 314]}, {\"cell\": \"104/106 (98.1)<sup>b</sup>\", \"bbox\": [374, 304, 433, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 320, 178, 330]}, {\"cell\": \"-\", \"bbox\": [245, 320, 250, 330]}, {\"cell\": \"91/100 (91.0%)\", \"bbox\": [374, 320, 432, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 335, 172, 345]}, {\"cell\": \"-\", \"bbox\": [245, 335, 250, 345]}, {\"cell\": \"56/80 (70.0%)\", \"bbox\": [374, 335, 428, 345]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1175030_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}18{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Parameter studied</b></td><td><b>N (% of total)</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">Age</td></tr><tr><td> ≤60 years</td><td>[EMPTY_CELL]</td></tr><tr><td> >60 years</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Gender</td></tr><tr><td> Male</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Tumor penetration</td></tr><tr><td> T1</td><td>[EMPTY_CELL]</td></tr><tr><td> T2</td><td>[EMPTY_CELL]</td></tr><tr><td> T3</td><td>[EMPTY_CELL]</td></tr><tr><td> T4</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Lymph node metastasis</td></tr><tr><td> N0</td><td>[EMPTY_CELL]</td></tr><tr><td> N1</td><td>[EMPTY_CELL]</td></tr><tr><td> N2</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Metastasis</td></tr><tr><td> M1</td><td>[EMPTY_CELL]</td></tr><tr><td> Mx</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Differentiation</td></tr><tr><td> Low</td><td>[EMPTY_CELL]</td></tr><tr><td> Medium</td><td>[EMPTY_CELL]</td></tr><tr><td> High</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Localization</td></tr><tr><td> Right colon</td><td>[EMPTY_CELL]</td></tr><tr><td> Left colon</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Survival</td></tr><tr><td> Survived</td><td>[EMPTY_CELL]</td></tr><tr><td> Died</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter studied</b>\", \"bbox\": [0, 8, 74, 19]}, {\"cell\": \"<b>N (% of total)</b>\", \"bbox\": [190, 8, 247, 19]}, {\"cell\": \"Age\", \"bbox\": [0, 31, 19, 42]}, {\"cell\": \" ≤60 years\", \"bbox\": [5, 38, 47, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 38, 239, 57]}, {\"cell\": \" >60 years\", \"bbox\": [5, 58, 47, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 58, 244, 69]}, {\"cell\": \"Gender\", \"bbox\": [0, 74, 32, 85]}, {\"cell\": \" Male\", \"bbox\": [5, 88, 28, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 88, 236, 99]}, {\"cell\": \" Female\", \"bbox\": [5, 102, 37, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 102, 236, 113]}, {\"cell\": \"Tumor penetration\", \"bbox\": [0, 118, 77, 129]}, {\"cell\": \" T1\", \"bbox\": [5, 132, 18, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 132, 239, 143]}, {\"cell\": \" T2\", \"bbox\": [5, 146, 18, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 146, 236, 157]}, {\"cell\": \" T3\", \"bbox\": [5, 160, 18, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 160, 236, 171]}, {\"cell\": \" T4\", \"bbox\": [5, 174, 18, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 174, 244, 185]}, {\"cell\": \"Lymph node metastasis\", \"bbox\": [0, 190, 96, 201]}, {\"cell\": \" N0\", \"bbox\": [5, 204, 20, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 204, 244, 215]}, {\"cell\": \" N1\", \"bbox\": [5, 218, 20, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 218, 244, 229]}, {\"cell\": \" N2\", \"bbox\": [5, 232, 20, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 232, 244, 243]}, {\"cell\": \"Metastasis\", \"bbox\": [0, 248, 45, 259]}, {\"cell\": \" M1\", \"bbox\": [5, 262, 21, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 262, 239, 273]}, {\"cell\": \" Mx\", \"bbox\": [5, 276, 21, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 276, 244, 287]}, {\"cell\": \"Differentiation\", \"bbox\": [0, 292, 62, 303]}, {\"cell\": \" Low\", \"bbox\": [5, 306, 26, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 306, 244, 317]}, {\"cell\": \" Medium\", \"bbox\": [5, 320, 41, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 320, 244, 331]}, {\"cell\": \" High\", \"bbox\": [5, 334, 27, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 334, 236, 345]}, {\"cell\": \"Localization\", \"bbox\": [0, 350, 53, 361]}, {\"cell\": \" Right colon\", \"bbox\": [5, 364, 54, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 364, 244, 375]}, {\"cell\": \" Left colon\", \"bbox\": [5, 378, 49, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 378, 244, 389]}, {\"cell\": \"Survival\", \"bbox\": [0, 394, 36, 405]}, {\"cell\": \" Survived\", \"bbox\": [5, 408, 44, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 408, 244, 419]}, {\"cell\": \" Died\", \"bbox\": [5, 422, 27, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 422, 244, 433]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4337474_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}19{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Name</b></td><td rowspan=\\\"2\\\"><b>Sequence</b></td><td rowspan=\\\"2\\\"><b>Charge</b></td><td colspan=\\\"2\\\"><b>Source</b></td></tr><tr><td><b>UniProt</b></td><td><b>Position</b></td></tr></thead><tbody><tr><td>S2</td><td><underline>TRYWNPKMKPFIFGA</underline></td><td>+3</td><td>P0A7V0</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-minus1</td><td>GHQ<underline>TRYWNPKMKPFI</underline></td><td>+3 to +4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-minus2</td><td>VHFGHQ<underline>TRYWNPKMK</underline></td><td>+3 to +5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-minus3</td><td>KAGVHFGHQ<underline>TRYWNP</underline></td><td>+2 to +4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-plus1</td><td><underline>WNPKMKPFIFGA</underline>RNK</td><td>+4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-plus2</td><td><underline>KMKPFIFGA</underline>RNKVHI</td><td>+4 to +5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-long2</td><td>Q<underline>TRYWNPKMKPFIFGA</underline>R</td><td>+4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-long4</td><td>HQ<underline>TRYWNPKMKPFIFGA</underline>RN</td><td>+4 to +5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-long6</td><td>GHQ<underline>TRYWNPKMKPFIFGA</underline>RNK</td><td>+5 to +6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-long8</td><td>FGHQ<underline>TRYWNPKMKPFIFGA</underline>RNKV</td><td>+5 to +6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-short2</td><td><underline>RYWNPKMKPFIFG</underline></td><td>+3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-short4</td><td><underline>YWNPKMKPFIF</underline></td><td>+2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-short6</td><td><underline>WNPKMKPFI</underline></td><td>+2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S2-short8</td><td><underline>WNPKMKP</underline></td><td>+2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>S3</td><td>RLGIVKPWNSTWFAN</td><td>+2</td><td>P0A7V3</td><td>[EMPTY_CELL]</td></tr><tr><td>T1</td><td>VGSNSYPHKYNNYEG</td><td>0 to +1</td><td>P00651</td><td>[EMPTY_CELL]</td></tr><tr><td>SlpA linker</td><td>SGLVPRGS</td><td>+1</td><td>-</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Name</b>\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"<b>Sequence</b>\", \"bbox\": [102, 4, 135, 13]}, {\"cell\": \"<b>Charge</b>\", \"bbox\": [269, 4, 294, 13]}, {\"cell\": \"<b>Source</b>\", \"bbox\": [365, 4, 389, 13]}, {\"cell\": \"<b>UniProt</b>\", \"bbox\": [365, 17, 391, 27]}, {\"cell\": \"<b>Position</b>\", \"bbox\": [457, 17, 484, 27]}, {\"cell\": \"S2\", \"bbox\": [1, 30, 10, 40]}, {\"cell\": \"<underline>TRYWNPKMKPFIFGA</underline>\", \"bbox\": [102, 30, 168, 40]}, {\"cell\": \"+3\", \"bbox\": [269, 30, 280, 40]}, {\"cell\": \"P0A7V0\", \"bbox\": [365, 30, 391, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 30, 478, 40]}, {\"cell\": \"S2-minus1\", \"bbox\": [1, 44, 36, 54]}, {\"cell\": \"GHQ<underline>TRYWNPKMKPFI</underline>\", \"bbox\": [102, 44, 170, 54]}, {\"cell\": \"+3 to +4\", \"bbox\": [269, 44, 300, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 44, 478, 54]}, {\"cell\": \"S2-minus2\", \"bbox\": [1, 58, 36, 68]}, {\"cell\": \"VHFGHQ<underline>TRYWNPKMK</underline>\", \"bbox\": [102, 58, 173, 68]}, {\"cell\": \"+3 to +5\", \"bbox\": [269, 58, 300, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 58, 478, 68]}, {\"cell\": \"S2-minus3\", \"bbox\": [1, 72, 36, 82]}, {\"cell\": \"KAGVHFGHQ<underline>TRYWNP</underline>\", \"bbox\": [102, 72, 172, 82]}, {\"cell\": \"+2 to +4\", \"bbox\": [269, 72, 300, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 72, 478, 82]}, {\"cell\": \"S2-plus1\", \"bbox\": [1, 86, 29, 96]}, {\"cell\": \"<underline>WNPKMKPFIFGA</underline>RNK\", \"bbox\": [102, 86, 169, 96]}, {\"cell\": \"+4\", \"bbox\": [269, 86, 280, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 86, 478, 96]}, {\"cell\": \"S2-plus2\", \"bbox\": [1, 100, 29, 110]}, {\"cell\": \"<underline>KMKPFIFGA</underline>RNKVHI\", \"bbox\": [102, 100, 164, 110]}, {\"cell\": \"+4 to +5\", \"bbox\": [269, 100, 300, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 100, 478, 110]}, {\"cell\": \"S2-long2\", \"bbox\": [1, 114, 31, 124]}, {\"cell\": \"Q<underline>TRYWNPKMKPFIFGA</underline>R\", \"bbox\": [102, 114, 177, 124]}, {\"cell\": \"+4\", \"bbox\": [269, 114, 280, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 114, 478, 124]}, {\"cell\": \"S2-long4\", \"bbox\": [1, 128, 31, 138]}, {\"cell\": \"HQ<underline>TRYWNPKMKPFIFGA</underline>RN\", \"bbox\": [102, 128, 187, 138]}, {\"cell\": \"+4 to +5\", \"bbox\": [269, 128, 300, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 128, 478, 138]}, {\"cell\": \"S2-long6\", \"bbox\": [1, 142, 31, 152]}, {\"cell\": \"GHQ<underline>TRYWNPKMKPFIFGA</underline>RNK\", \"bbox\": [102, 142, 196, 152]}, {\"cell\": \"+5 to +6\", \"bbox\": [269, 142, 300, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 142, 478, 152]}, {\"cell\": \"S2-long8\", \"bbox\": [1, 156, 31, 166]}, {\"cell\": \"FGHQ<underline>TRYWNPKMKPFIFGA</underline>RNKV\", \"bbox\": [102, 156, 203, 166]}, {\"cell\": \"+5 to +6\", \"bbox\": [269, 156, 300, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 156, 478, 166]}, {\"cell\": \"S2-short2\", \"bbox\": [1, 170, 32, 180]}, {\"cell\": \"<underline>RYWNPKMKPFIFG</underline>\", \"bbox\": [102, 170, 159, 180]}, {\"cell\": \"+3\", \"bbox\": [269, 170, 280, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 170, 478, 180]}, {\"cell\": \"S2-short4\", \"bbox\": [1, 184, 32, 194]}, {\"cell\": \"<underline>YWNPKMKPFIF</underline>\", \"bbox\": [102, 184, 150, 194]}, {\"cell\": \"+2\", \"bbox\": [269, 184, 280, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 184, 478, 194]}, {\"cell\": \"S2-short6\", \"bbox\": [0, 198, 32, 208]}, {\"cell\": \"<underline>WNPKMKPFI</underline>\", \"bbox\": [102, 198, 143, 208]}, {\"cell\": \"+2\", \"bbox\": [269, 198, 280, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 198, 478, 208]}, {\"cell\": \"S2-short8\", \"bbox\": [1, 212, 32, 222]}, {\"cell\": \"<underline>WNPKMKP</underline>\", \"bbox\": [102, 212, 137, 222]}, {\"cell\": \"+2\", \"bbox\": [269, 212, 280, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 212, 478, 222]}, {\"cell\": \"S3\", \"bbox\": [1, 226, 10, 236]}, {\"cell\": \"RLGIVKPWNSTWFAN\", \"bbox\": [102, 226, 169, 236]}, {\"cell\": \"+2\", \"bbox\": [269, 226, 280, 236]}, {\"cell\": \"P0A7V3\", \"bbox\": [365, 226, 391, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 226, 478, 236]}, {\"cell\": \"T1\", \"bbox\": [1, 240, 10, 250]}, {\"cell\": \"VGSNSYPHKYNNYEG\", \"bbox\": [102, 240, 169, 250]}, {\"cell\": \"0 to +1\", \"bbox\": [269, 240, 295, 250]}, {\"cell\": \"P00651\", \"bbox\": [365, 240, 390, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 240, 478, 250]}, {\"cell\": \"SlpA linker\", \"bbox\": [1, 254, 36, 264]}, {\"cell\": \"SGLVPRGS\", \"bbox\": [102, 254, 137, 264]}, {\"cell\": \"+1\", \"bbox\": [269, 254, 280, 264]}, {\"cell\": \"-\", \"bbox\": [365, 254, 370, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 254, 461, 264]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5034536_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}20{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Socio‐demographics</b></td><td rowspan=\\\"2\\\"><b>Total (n = 803)</b></td><td rowspan=\\\"2\\\"><b>First‐time testing (n = 412)</b></td><td rowspan=\\\"2\\\"><b>Ever tested (n = 391)</b></td><td colspan=\\\"2\\\"><b>Univariable logistic regression</b></td><td colspan=\\\"2\\\"><b>Multivariable logistic regression</b></td></tr><tr><td><b>OR (95% CI)</b></td><td><b><i>p</i>‐value</b></td><td><b>aOR (95% CI)</b></td><td><b><i>p</i>‐value</b></td></tr></thead><tbody><tr><td>Age in years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.99 (0.996 to 1.03)</td><td>0.87</td><td>0.98 (0.95 to 1.02)</td><td>0.45</td></tr><tr><td colspan=\\\"8\\\">Education</td></tr><tr><td>High school and below</td><td>41.1%</td><td>201 (48.8%)</td><td>[EMPTY_CELL]</td><td>1.9 (1.4 to 2.3)</td><td><b>0.000</b></td><td>1.8 (1.3 to 2.5)</td><td><b>0.001</b></td></tr><tr><td>College and university</td><td>58.9%</td><td>211 (51.2%)</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"8\\\">Sex exchanged for money</td></tr><tr><td>No</td><td>70.6%</td><td>277 (67.2%)</td><td>[EMPTY_CELL]</td><td>0.72 (0.5 to 1.0)</td><td>0.081</td><td>0.83 (0.57 to 1.2)</td><td>0.34</td></tr><tr><td>Yes</td><td>19.3%</td><td>88 (21.4%)</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>No response</td><td>10.1%</td><td>47 (11.4%)</td><td>[EMPTY_CELL]</td><td>1.05 (0.61 to 1.8)</td><td>0.85</td><td>1.0 (0.57 to 1.8)</td><td>0.9</td></tr><tr><td colspan=\\\"8\\\">Ever injected drugs</td></tr><tr><td>No</td><td>94.8%</td><td>383 (93.0%)</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>1.6%</td><td>9 (2.2%)</td><td>[EMPTY_CELL]</td><td>2.22 (0.67 to 7.27)</td><td>0.187</td><td>2.2 (0.69 to 7.6)</td><td>0.17</td></tr><tr><td>No response</td><td>3.6%)</td><td>20 (4.9%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"8\\\">Income</td></tr><tr><td>Below mean</td><td>41.0%</td><td>16740.5%</td><td>[EMPTY_CELL]</td><td>0.92 (0.61 to 1.3)</td><td>0.711</td><td>0.78 (0.51 to 1.2)</td><td>0.27</td></tr><tr><td>Above mean</td><td>16.3%</td><td>6916.7%</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>No response</td><td>42.7%</td><td>17642.7%</td><td>[EMPTY_CELL]</td><td>0.94 (0.63 to 1.4)</td><td>0.79</td><td>0.84 (0.55 to 1.2)</td><td>0.42</td></tr><tr><td colspan=\\\"8\\\">Residence</td></tr><tr><td>Hanoi</td><td>35.7%</td><td>13933.7%</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Ho Chi Minh City</td><td>64.3%</td><td>27366.3%</td><td>[EMPTY_CELL]</td><td>1.19 (0.89 to 1.59)</td><td>0.224</td><td>0.99 (0.72 to 1.3)</td><td>0.9</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Socio‐demographics</b>\", \"bbox\": [1, 41, 74, 50]}, {\"cell\": \"<b>Total (n = 803)</b>\", \"bbox\": [98, 29, 133, 50]}, {\"cell\": \"<b>First‐time testing (n = 412)</b>\", \"bbox\": [143, 29, 206, 50]}, {\"cell\": \"<b>Ever tested (n = 391)</b>\", \"bbox\": [216, 29, 259, 50]}, {\"cell\": \"<b>Univariable logistic regression</b>\", \"bbox\": [289, 8, 359, 30]}, {\"cell\": \"<b>Multivariable logistic regression</b>\", \"bbox\": [390, 20, 505, 30]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [270, 41, 316, 50]}, {\"cell\": \"<b><i>p</i>‐value</b>\", \"bbox\": [351, 41, 379, 50]}, {\"cell\": \"<b>aOR (95% CI)</b>\", \"bbox\": [400, 41, 450, 50]}, {\"cell\": \"<b><i>p</i>‐value</b>\", \"bbox\": [475, 41, 503, 50]}, {\"cell\": \"Age in years\", \"bbox\": [0, 61, 45, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.99 (0.996 to 1.03)\", \"bbox\": [270, 61, 341, 70]}, {\"cell\": \"0.87\", \"bbox\": [354, 61, 371, 70]}, {\"cell\": \"0.98 (0.95 to 1.02)\", \"bbox\": [392, 61, 459, 70]}, {\"cell\": \"0.45\", \"bbox\": [478, 61, 495, 70]}, {\"cell\": \"Education\", \"bbox\": [0, 73, 36, 82]}, {\"cell\": \"High school and below\", \"bbox\": [8, 85, 88, 94]}, {\"cell\": \"41.1%\", \"bbox\": [103, 85, 126, 94]}, {\"cell\": \"201 (48.8%)\", \"bbox\": [152, 85, 196, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 85, 260, 94]}, {\"cell\": \"1.9 (1.4 to 2.3)\", \"bbox\": [270, 85, 323, 94]}, {\"cell\": \"<b>0.000</b>\", \"bbox\": [354, 84, 376, 94]}, {\"cell\": \"1.8 (1.3 to 2.5)\", \"bbox\": [392, 85, 445, 94]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [478, 84, 500, 94]}, {\"cell\": \"College and university\", \"bbox\": [8, 97, 87, 106]}, {\"cell\": \"58.9%\", \"bbox\": [103, 97, 126, 106]}, {\"cell\": \"211 (51.2%)\", \"bbox\": [152, 97, 196, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 97, 260, 106]}, {\"cell\": \"1\", \"bbox\": [270, 97, 276, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [392, 97, 398, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex exchanged for money\", \"bbox\": [0, 109, 90, 118]}, {\"cell\": \"No\", \"bbox\": [8, 121, 21, 130]}, {\"cell\": \"70.6%\", \"bbox\": [103, 121, 126, 130]}, {\"cell\": \"277 (67.2%)\", \"bbox\": [152, 121, 196, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 121, 260, 130]}, {\"cell\": \"0.72 (0.5 to 1.0)\", \"bbox\": [270, 121, 328, 130]}, {\"cell\": \"0.081\", \"bbox\": [354, 121, 376, 130]}, {\"cell\": \"0.83 (0.57 to 1.2)\", \"bbox\": [392, 121, 454, 130]}, {\"cell\": \"0.34\", \"bbox\": [478, 121, 495, 130]}, {\"cell\": \"Yes\", \"bbox\": [8, 132, 23, 142]}, {\"cell\": \"19.3%\", \"bbox\": [103, 132, 126, 142]}, {\"cell\": \"88 (21.4%)\", \"bbox\": [157, 132, 196, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 132, 260, 142]}, {\"cell\": \"1\", \"bbox\": [270, 132, 276, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [392, 132, 398, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No response\", \"bbox\": [8, 144, 54, 154]}, {\"cell\": \"10.1%\", \"bbox\": [103, 144, 126, 154]}, {\"cell\": \"47 (11.4%)\", \"bbox\": [157, 144, 196, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 144, 255, 154]}, {\"cell\": \"1.05 (0.61 to 1.8)\", \"bbox\": [270, 144, 332, 154]}, {\"cell\": \"0.85\", \"bbox\": [354, 144, 371, 154]}, {\"cell\": \"1.0 (0.57 to 1.8)\", \"bbox\": [392, 144, 450, 154]}, {\"cell\": \"0.9\", \"bbox\": [478, 144, 491, 154]}, {\"cell\": \"Ever injected drugs\", \"bbox\": [0, 156, 69, 166]}, {\"cell\": \"No\", \"bbox\": [8, 168, 21, 178]}, {\"cell\": \"94.8%\", \"bbox\": [103, 168, 126, 178]}, {\"cell\": \"383 (93.0%)\", \"bbox\": [152, 168, 196, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 168, 260, 178]}, {\"cell\": \"1\", \"bbox\": [270, 168, 276, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [392, 168, 398, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [8, 180, 23, 190]}, {\"cell\": \"1.6%\", \"bbox\": [107, 180, 126, 190]}, {\"cell\": \"9 (2.2%)\", \"bbox\": [161, 180, 192, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 180, 255, 190]}, {\"cell\": \"2.22 (0.67 to 7.27)\", \"bbox\": [270, 180, 337, 190]}, {\"cell\": \"0.187\", \"bbox\": [354, 180, 376, 190]}, {\"cell\": \"2.2 (0.69 to 7.6)\", \"bbox\": [392, 180, 450, 190]}, {\"cell\": \"0.17\", \"bbox\": [478, 180, 495, 190]}, {\"cell\": \"No response\", \"bbox\": [8, 192, 54, 202]}, {\"cell\": \"3.6%)\", \"bbox\": [107, 192, 128, 202]}, {\"cell\": \"20 (4.9%)\", \"bbox\": [157, 192, 192, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 192, 255, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Income\", \"bbox\": [0, 204, 27, 214]}, {\"cell\": \"Below mean\", \"bbox\": [8, 216, 52, 226]}, {\"cell\": \"41.0%\", \"bbox\": [103, 216, 126, 226]}, {\"cell\": \"16740.5%\", \"bbox\": [152, 216, 180, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 216, 243, 238]}, {\"cell\": \"0.92 (0.61 to 1.3)\", \"bbox\": [270, 216, 332, 226]}, {\"cell\": \"0.711\", \"bbox\": [354, 216, 376, 226]}, {\"cell\": \"0.78 (0.51 to 1.2)\", \"bbox\": [392, 216, 454, 226]}, {\"cell\": \"0.27\", \"bbox\": [478, 216, 495, 226]}, {\"cell\": \"Above mean\", \"bbox\": [8, 240, 53, 250]}, {\"cell\": \"16.3%\", \"bbox\": [103, 240, 126, 250]}, {\"cell\": \"6916.7%\", \"bbox\": [156, 240, 180, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 240, 243, 262]}, {\"cell\": \"1\", \"bbox\": [270, 240, 276, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [392, 240, 398, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No response\", \"bbox\": [8, 264, 54, 274]}, {\"cell\": \"42.7%\", \"bbox\": [103, 264, 126, 274]}, {\"cell\": \"17642.7%\", \"bbox\": [152, 264, 180, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 264, 243, 285]}, {\"cell\": \"0.94 (0.63 to 1.4)\", \"bbox\": [270, 264, 332, 274]}, {\"cell\": \"0.79\", \"bbox\": [354, 264, 371, 274]}, {\"cell\": \"0.84 (0.55 to 1.2)\", \"bbox\": [392, 264, 454, 274]}, {\"cell\": \"0.42\", \"bbox\": [478, 264, 495, 274]}, {\"cell\": \"Residence\", \"bbox\": [0, 288, 37, 297]}, {\"cell\": \"Hanoi\", \"bbox\": [8, 300, 31, 309]}, {\"cell\": \"35.7%\", \"bbox\": [103, 300, 126, 309]}, {\"cell\": \"13933.7%\", \"bbox\": [152, 300, 180, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 300, 243, 321]}, {\"cell\": \"1\", \"bbox\": [270, 300, 276, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [392, 300, 398, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ho Chi Minh City\", \"bbox\": [8, 324, 72, 333]}, {\"cell\": \"64.3%\", \"bbox\": [103, 324, 126, 333]}, {\"cell\": \"27366.3%\", \"bbox\": [152, 324, 180, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 324, 243, 345]}, {\"cell\": \"1.19 (0.89 to 1.59)\", \"bbox\": [270, 324, 337, 333]}, {\"cell\": \"0.224\", \"bbox\": [354, 324, 376, 333]}, {\"cell\": \"0.99 (0.72 to 1.3)\", \"bbox\": [392, 324, 454, 333]}, {\"cell\": \"0.9\", \"bbox\": [478, 324, 491, 333]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6055123_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}21{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>distinguishable term</b></td><td colspan=\\\"4\\\"><b>intraindividual stability</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>n<sub>t1</sub></b></td><td colspan=\\\"3\\\"><b>n<sub>t2</sub></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>20<d≤.50</b></td><td><b>.50<d≤.80</b></td><td><b>d>.80</b></td><td><b>.20<d≤.50</b></td><td><b>.50<d≤.80</b></td><td><b>d>.80</b></td><td><b>M<sub>1</sub>(SD<sub>1</sub>)</b></td><td><b>M<sub>2</sub>(SD<sub>2</sub>)</b></td><td><b>t(p)</b></td><td><b>d(CI)</b></td></tr></thead><tbody><tr><td>all</td><td>7</td><td>6</td><td>5</td><td>6</td><td>[EMPTY_CELL]</td><td>5</td><td>20.06(5.10)</td><td>19.90(6.34)</td><td>.20(.85)</td><td>.03(-.39-.45)</td></tr><tr><td>WST↓</td><td>6</td><td>6</td><td>5</td><td>4</td><td>[EMPTY_CELL]</td><td>4</td><td>18.61(5.54)</td><td>21.67(6.49)</td><td>−1.43(.18)</td><td>-.51(-1.11-.12)</td></tr><tr><td>WST↑</td><td>7</td><td>7</td><td>7</td><td>6</td><td>[EMPTY_CELL]</td><td>6</td><td>19.70(9.23)</td><td>17.37(7.90)</td><td>1.50(.16)</td><td>.27(-.31-.85)</td></tr><tr><td>age↓</td><td>7</td><td>7</td><td>6</td><td>6</td><td>[EMPTY_CELL]</td><td>5</td><td>14.58(5.07)</td><td>16.81(5.34)</td><td>−1.83(.09)</td><td>-.43(-1.03-.19)</td></tr><tr><td>age↑</td><td>5</td><td>5</td><td>4</td><td>4</td><td>[EMPTY_CELL]</td><td>4</td><td>23.53(7.46)</td><td>21.68(6.97)</td><td>.71(.49)</td><td>.26(-.34-.85)</td></tr><tr><td>male</td><td>9</td><td>9</td><td>9</td><td>6</td><td>[EMPTY_CELL]</td><td>6</td><td>9.44(4.86)</td><td>13.33(7.24)</td><td>−1.39(.86)</td><td>-.63(-1.37-.15)</td></tr><tr><td>female</td><td>6</td><td>6</td><td>5</td><td>6</td><td>[EMPTY_CELL]</td><td>4</td><td>22.62(6.57)</td><td>21.92(6.57)</td><td>.81(.43)</td><td>.11(-.40-.61)</td></tr><tr><td>BDIt1↓</td><td>6</td><td>6</td><td>5</td><td>6</td><td>[EMPTY_CELL]</td><td>5</td><td>19.46(7.35)</td><td>18.13(7.01)</td><td>.81(.43)</td><td>.19(-.42-.79)</td></tr><tr><td>BDIt1↑</td><td>6</td><td>6</td><td>5</td><td>5</td><td>[EMPTY_CELL]</td><td>5</td><td>19.55(4.95)</td><td>19.51(6.55)</td><td>.02(.98)</td><td>.01(-.59-.60)</td></tr><tr><td>BDIt2↓</td><td>4</td><td>4</td><td>4</td><td>6</td><td>[EMPTY_CELL]</td><td>5</td><td>22.26(7.80)</td><td>20.92(6.85)</td><td>.73(.48)</td><td>.18(-.14-.80)</td></tr><tr><td>BDIt2↑</td><td>6</td><td>6</td><td>6</td><td>6</td><td>[EMPTY_CELL]</td><td>5</td><td>16.42(5.77)</td><td>17.71(6.46)</td><td>-.79(.45)</td><td>-.21(-.81-.40)</td></tr><tr><td>SCLt1↓</td><td>6</td><td>6</td><td>5</td><td>6</td><td>[EMPTY_CELL]</td><td>6</td><td>20.08(7.80)</td><td>17.33(8.50)</td><td>1.92(.08)</td><td>.34(-.35-1.01)</td></tr><tr><td>SCLt1↑</td><td>7</td><td>7</td><td>7</td><td>5</td><td>[EMPTY_CELL]</td><td>4</td><td>15.75(6.63)</td><td>19.63(6.89)</td><td>−1.40(.19)</td><td>-.58(-1.23-.10)</td></tr><tr><td>SCLt2↓</td><td>5</td><td>5</td><td>5</td><td>7</td><td>[EMPTY_CELL]</td><td>6</td><td>18.02(9.26)</td><td>14.67(8.93)</td><td>2.09(.06)</td><td>.37(-.32-1.04)</td></tr><tr><td>SCLt2↑</td><td>6</td><td>6</td><td>5</td><td>5</td><td>[EMPTY_CELL]</td><td>4</td><td>18.97(4.02)</td><td>21.10(7.31)</td><td>−1.04(.32)</td><td>-.36(-1.0-.29)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>distinguishable term</b>\", \"bbox\": [125, 4, 199, 13]}, {\"cell\": \"<b>intraindividual stability</b>\", \"bbox\": [351, 4, 433, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n<sub>t1</sub></b>\", \"bbox\": [90, 17, 102, 27]}, {\"cell\": \"<b>n<sub>t2</sub></b>\", \"bbox\": [221, 17, 233, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>20<d≤.50</b>\", \"bbox\": [37, 30, 72, 40]}, {\"cell\": \"<b>.50<d≤.80</b>\", \"bbox\": [84, 30, 121, 40]}, {\"cell\": \"<b>d>.80</b>\", \"bbox\": [133, 30, 155, 40]}, {\"cell\": \"<b>.20<d≤.50</b>\", \"bbox\": [167, 30, 204, 40]}, {\"cell\": \"<b>.50<d≤.80</b>\", \"bbox\": [216, 30, 253, 40]}, {\"cell\": \"<b>d>.80</b>\", \"bbox\": [265, 30, 287, 40]}, {\"cell\": \"<b>M<sub>1</sub>(SD<sub>1</sub>)</b>\", \"bbox\": [303, 30, 332, 40]}, {\"cell\": \"<b>M<sub>2</sub>(SD<sub>2</sub>)</b>\", \"bbox\": [351, 30, 380, 40]}, {\"cell\": \"<b>t(p)</b>\", \"bbox\": [405, 30, 419, 40]}, {\"cell\": \"<b>d(CI)</b>\", \"bbox\": [453, 30, 471, 40]}, {\"cell\": \"all\", \"bbox\": [1, 43, 9, 53]}, {\"cell\": \"7\", \"bbox\": [51, 43, 57, 53]}, {\"cell\": \"6\", \"bbox\": [99, 43, 105, 53]}, {\"cell\": \"5\", \"bbox\": [141, 43, 147, 53]}, {\"cell\": \"6\", \"bbox\": [183, 43, 188, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 43, 237, 53]}, {\"cell\": \"5\", \"bbox\": [273, 43, 279, 53]}, {\"cell\": \"20.06(5.10)\", \"bbox\": [299, 43, 335, 53]}, {\"cell\": \"19.90(6.34)\", \"bbox\": [347, 43, 383, 53]}, {\"cell\": \".20(.85)\", \"bbox\": [400, 43, 424, 53]}, {\"cell\": \".03(-.39-.45)\", \"bbox\": [444, 43, 481, 53]}, {\"cell\": \"WST↓\", \"bbox\": [1, 57, 20, 67]}, {\"cell\": \"6\", \"bbox\": [51, 57, 57, 67]}, {\"cell\": \"6\", \"bbox\": [99, 57, 105, 67]}, {\"cell\": \"5\", \"bbox\": [141, 57, 147, 67]}, {\"cell\": \"4\", \"bbox\": [183, 57, 188, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 57, 237, 67]}, {\"cell\": \"4\", \"bbox\": [273, 57, 279, 67]}, {\"cell\": \"18.61(5.54)\", \"bbox\": [299, 57, 335, 67]}, {\"cell\": \"21.67(6.49)\", \"bbox\": [347, 57, 383, 67]}, {\"cell\": \"−1.43(.18)\", \"bbox\": [395, 57, 428, 67]}, {\"cell\": \"-.51(-1.11-.12)\", \"bbox\": [440, 57, 484, 67]}, {\"cell\": \"WST↑\", \"bbox\": [1, 71, 20, 81]}, {\"cell\": \"7\", \"bbox\": [51, 71, 57, 81]}, {\"cell\": \"7\", \"bbox\": [99, 71, 105, 81]}, {\"cell\": \"7\", \"bbox\": [141, 71, 147, 81]}, {\"cell\": \"6\", \"bbox\": [183, 71, 188, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 71, 237, 81]}, {\"cell\": \"6\", \"bbox\": [273, 71, 279, 81]}, {\"cell\": \"19.70(9.23)\", \"bbox\": [299, 71, 335, 81]}, {\"cell\": \"17.37(7.90)\", \"bbox\": [347, 71, 383, 81]}, {\"cell\": \"1.50(.16)\", \"bbox\": [398, 71, 426, 81]}, {\"cell\": \".27(-.31-.85)\", \"bbox\": [444, 71, 481, 81]}, {\"cell\": \"age↓\", \"bbox\": [1, 85, 18, 95]}, {\"cell\": \"7\", \"bbox\": [51, 85, 57, 95]}, {\"cell\": \"7\", \"bbox\": [99, 85, 105, 95]}, {\"cell\": \"6\", \"bbox\": [141, 85, 147, 95]}, {\"cell\": \"6\", \"bbox\": [183, 85, 188, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 85, 237, 95]}, {\"cell\": \"5\", \"bbox\": [273, 85, 279, 95]}, {\"cell\": \"14.58(5.07)\", \"bbox\": [299, 85, 335, 95]}, {\"cell\": \"16.81(5.34)\", \"bbox\": [347, 85, 383, 95]}, {\"cell\": \"−1.83(.09)\", \"bbox\": [395, 85, 428, 95]}, {\"cell\": \"-.43(-1.03-.19)\", \"bbox\": [440, 85, 484, 95]}, {\"cell\": \"age↑\", \"bbox\": [1, 99, 18, 109]}, {\"cell\": \"5\", \"bbox\": [51, 99, 57, 109]}, {\"cell\": \"5\", \"bbox\": [99, 99, 105, 109]}, {\"cell\": \"4\", \"bbox\": [141, 99, 147, 109]}, {\"cell\": \"4\", \"bbox\": [183, 99, 188, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 99, 237, 109]}, {\"cell\": \"4\", \"bbox\": [273, 99, 279, 109]}, {\"cell\": \"23.53(7.46)\", \"bbox\": [299, 99, 335, 109]}, {\"cell\": \"21.68(6.97)\", \"bbox\": [347, 99, 383, 109]}, {\"cell\": \".71(.49)\", \"bbox\": [400, 99, 424, 109]}, {\"cell\": \".26(-.34-.85)\", \"bbox\": [444, 99, 481, 109]}, {\"cell\": \"male\", \"bbox\": [1, 113, 18, 123]}, {\"cell\": \"9\", \"bbox\": [51, 113, 57, 123]}, {\"cell\": \"9\", \"bbox\": [99, 113, 105, 123]}, {\"cell\": \"9\", \"bbox\": [141, 113, 147, 123]}, {\"cell\": \"6\", \"bbox\": [183, 113, 188, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 113, 237, 123]}, {\"cell\": \"6\", \"bbox\": [273, 113, 279, 123]}, {\"cell\": \"9.44(4.86)\", \"bbox\": [301, 113, 333, 123]}, {\"cell\": \"13.33(7.24)\", \"bbox\": [347, 113, 383, 123]}, {\"cell\": \"−1.39(.86)\", \"bbox\": [395, 113, 428, 123]}, {\"cell\": \"-.63(-1.37-.15)\", \"bbox\": [440, 113, 484, 123]}, {\"cell\": \"female\", \"bbox\": [1, 127, 24, 137]}, {\"cell\": \"6\", \"bbox\": [51, 127, 57, 137]}, {\"cell\": \"6\", \"bbox\": [99, 127, 105, 137]}, {\"cell\": \"5\", \"bbox\": [141, 127, 147, 137]}, {\"cell\": \"6\", \"bbox\": [183, 127, 188, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 127, 237, 137]}, {\"cell\": \"4\", \"bbox\": [273, 127, 279, 137]}, {\"cell\": \"22.62(6.57)\", \"bbox\": [299, 127, 335, 137]}, {\"cell\": \"21.92(6.57)\", \"bbox\": [347, 127, 383, 137]}, {\"cell\": \".81(.43)\", \"bbox\": [400, 127, 424, 137]}, {\"cell\": \".11(-.40-.61)\", \"bbox\": [444, 127, 481, 137]}, {\"cell\": \"BDIt1↓\", \"bbox\": [1, 141, 24, 151]}, {\"cell\": \"6\", \"bbox\": [51, 141, 57, 151]}, {\"cell\": \"6\", \"bbox\": [99, 141, 105, 151]}, {\"cell\": \"5\", \"bbox\": [141, 141, 147, 151]}, {\"cell\": \"6\", \"bbox\": [183, 141, 188, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 141, 237, 151]}, {\"cell\": \"5\", \"bbox\": [273, 141, 279, 151]}, {\"cell\": \"19.46(7.35)\", \"bbox\": [299, 141, 335, 151]}, {\"cell\": \"18.13(7.01)\", \"bbox\": [347, 141, 383, 151]}, {\"cell\": \".81(.43)\", \"bbox\": [400, 141, 424, 151]}, {\"cell\": \".19(-.42-.79)\", \"bbox\": [444, 141, 481, 151]}, {\"cell\": \"BDIt1↑\", \"bbox\": [1, 155, 24, 165]}, {\"cell\": \"6\", \"bbox\": [51, 155, 57, 165]}, {\"cell\": \"6\", \"bbox\": [99, 155, 105, 165]}, {\"cell\": \"5\", \"bbox\": [141, 155, 147, 165]}, {\"cell\": \"5\", \"bbox\": [183, 155, 188, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 155, 237, 165]}, {\"cell\": \"5\", \"bbox\": [273, 155, 279, 165]}, {\"cell\": \"19.55(4.95)\", \"bbox\": [299, 155, 335, 165]}, {\"cell\": \"19.51(6.55)\", \"bbox\": [347, 155, 383, 165]}, {\"cell\": \".02(.98)\", \"bbox\": [400, 155, 424, 165]}, {\"cell\": \".01(-.59-.60)\", \"bbox\": [444, 155, 481, 165]}, {\"cell\": \"BDIt2↓\", \"bbox\": [1, 169, 24, 179]}, {\"cell\": \"4\", \"bbox\": [51, 169, 57, 179]}, {\"cell\": \"4\", \"bbox\": [99, 169, 105, 179]}, {\"cell\": \"4\", \"bbox\": [141, 169, 147, 179]}, {\"cell\": \"6\", \"bbox\": [183, 169, 188, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 169, 237, 179]}, {\"cell\": \"5\", \"bbox\": [273, 169, 279, 179]}, {\"cell\": \"22.26(7.80)\", \"bbox\": [299, 169, 335, 179]}, {\"cell\": \"20.92(6.85)\", \"bbox\": [347, 169, 383, 179]}, {\"cell\": \".73(.48)\", \"bbox\": [400, 169, 424, 179]}, {\"cell\": \".18(-.14-.80)\", \"bbox\": [444, 169, 481, 179]}, {\"cell\": \"BDIt2↑\", \"bbox\": [1, 183, 24, 193]}, {\"cell\": \"6\", \"bbox\": [51, 183, 57, 193]}, {\"cell\": \"6\", \"bbox\": [99, 183, 105, 193]}, {\"cell\": \"6\", \"bbox\": [141, 183, 147, 193]}, {\"cell\": \"6\", \"bbox\": [183, 183, 188, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 183, 237, 193]}, {\"cell\": \"5\", \"bbox\": [273, 183, 279, 193]}, {\"cell\": \"16.42(5.77)\", \"bbox\": [299, 183, 335, 193]}, {\"cell\": \"17.71(6.46)\", \"bbox\": [347, 183, 383, 193]}, {\"cell\": \"-.79(.45)\", \"bbox\": [399, 183, 425, 193]}, {\"cell\": \"-.21(-.81-.40)\", \"bbox\": [442, 183, 483, 193]}, {\"cell\": \"SCLt1↓\", \"bbox\": [1, 197, 24, 207]}, {\"cell\": \"6\", \"bbox\": [51, 197, 57, 207]}, {\"cell\": \"6\", \"bbox\": [99, 197, 105, 207]}, {\"cell\": \"5\", \"bbox\": [141, 197, 147, 207]}, {\"cell\": \"6\", \"bbox\": [183, 197, 188, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 197, 237, 207]}, {\"cell\": \"6\", \"bbox\": [273, 197, 279, 207]}, {\"cell\": \"20.08(7.80)\", \"bbox\": [299, 197, 335, 207]}, {\"cell\": \"17.33(8.50)\", \"bbox\": [347, 197, 383, 207]}, {\"cell\": \"1.92(.08)\", \"bbox\": [398, 197, 426, 207]}, {\"cell\": \".34(-.35-1.01)\", \"bbox\": [442, 197, 483, 207]}, {\"cell\": \"SCLt1↑\", \"bbox\": [1, 211, 24, 221]}, {\"cell\": \"7\", \"bbox\": [51, 211, 57, 221]}, {\"cell\": \"7\", \"bbox\": [99, 211, 105, 221]}, {\"cell\": \"7\", \"bbox\": [141, 211, 147, 221]}, {\"cell\": \"5\", \"bbox\": [183, 211, 188, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 211, 237, 221]}, {\"cell\": \"4\", \"bbox\": [273, 211, 279, 221]}, {\"cell\": \"15.75(6.63)\", \"bbox\": [299, 211, 335, 221]}, {\"cell\": \"19.63(6.89)\", \"bbox\": [347, 211, 383, 221]}, {\"cell\": \"−1.40(.19)\", \"bbox\": [395, 211, 428, 221]}, {\"cell\": \"-.58(-1.23-.10)\", \"bbox\": [440, 211, 484, 221]}, {\"cell\": \"SCLt2↓\", \"bbox\": [1, 225, 24, 235]}, {\"cell\": \"5\", \"bbox\": [51, 225, 57, 235]}, {\"cell\": \"5\", \"bbox\": [99, 225, 105, 235]}, {\"cell\": \"5\", \"bbox\": [141, 225, 147, 235]}, {\"cell\": \"7\", \"bbox\": [183, 225, 188, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 225, 237, 235]}, {\"cell\": \"6\", \"bbox\": [273, 225, 279, 235]}, {\"cell\": \"18.02(9.26)\", \"bbox\": [299, 225, 335, 235]}, {\"cell\": \"14.67(8.93)\", \"bbox\": [347, 225, 383, 235]}, {\"cell\": \"2.09(.06)\", \"bbox\": [398, 225, 426, 235]}, {\"cell\": \".37(-.32-1.04)\", \"bbox\": [442, 225, 483, 235]}, {\"cell\": \"SCLt2↑\", \"bbox\": [1, 239, 24, 249]}, {\"cell\": \"6\", \"bbox\": [51, 239, 57, 249]}, {\"cell\": \"6\", \"bbox\": [99, 239, 105, 249]}, {\"cell\": \"5\", \"bbox\": [141, 239, 147, 249]}, {\"cell\": \"5\", \"bbox\": [183, 239, 188, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 239, 237, 249]}, {\"cell\": \"4\", \"bbox\": [273, 239, 279, 249]}, {\"cell\": \"18.97(4.02)\", \"bbox\": [299, 239, 335, 249]}, {\"cell\": \"21.10(7.31)\", \"bbox\": [347, 239, 383, 249]}, {\"cell\": \"−1.04(.32)\", \"bbox\": [395, 239, 428, 249]}, {\"cell\": \"-.36(-1.0-.29)\", \"bbox\": [442, 239, 483, 249]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3514164_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}22{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>Forward (5′->3′)</b></td><td><b>Reverse (5′->3′)</b></td><td><b>Amplicon</b></td></tr></thead><tbody><tr><td><b>E6Fl</b></td><td>CACAGGAGCGACCCAGAAA</td><td>CCCGAAAAGCAAAGTCATATACC</td><td>[EMPTY_CELL]</td></tr><tr><td><b>E6*I</b></td><td>CTGCGACGTGAGGTGTATTA</td><td>TGTCCAGGTGTCTTTGCTTT</td><td>[EMPTY_CELL]</td></tr><tr><td><b>E6all</b></td><td>GAGAACTGCAATGTTTCAGGACC</td><td>TGTATAGTTGTTTGCAGCTCTGTGC</td><td>[EMPTY_CELL]</td></tr><tr><td><b>B2M</b></td><td>GATGAGTATGCCGTGTG</td><td>CAATCCAAATGCGGCATCT</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Oct1</b></td><td>CAGATCGCACAGGATCTTCA</td><td>GGATGCACCAACACAAACTG</td><td>[EMPTY_CELL]</td></tr><tr><td><b>TEF-2</b></td><td>AAAGCTCCCACTTGAAAGCA</td><td>AACTTCCATGTGCACCCTTC</td><td>[EMPTY_CELL]</td></tr><tr><td><b>NF1</b></td><td>GTGTTCCATGTGCGATTACG</td><td>TCATGTGCCTTTTCAGCTTG</td><td>[EMPTY_CELL]</td></tr><tr><td><b>YY1</b></td><td>ACCTGGCATTGACCTCTCAG</td><td>TTCTCATGGCCGAGTTATCC</td><td>[EMPTY_CELL]</td></tr><tr><td><b>cFos</b></td><td>AGAATCCGAAGGGAAAGGAA</td><td>CTTCTCCTTCAGCAGGTTGG</td><td>[EMPTY_CELL]</td></tr><tr><td><b>cJun</b></td><td>TGACTGCAAAGATGGAAACG</td><td>CAGGGTCATGCTCTGTTTCA</td><td>[EMPTY_CELL]</td></tr><tr><td><b>CEBPβ</b></td><td>TACTACGAGGCGGACTGCTT</td><td>AGGTACGGGCTGAAGTCGAT</td><td>[EMPTY_CELL]</td></tr><tr><td><b>U6</b></td><td>CGCTTCGGCAGCACATATAC</td><td>AAAATATGGAACGCTTCACGA</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [4, 6, 28, 16]}, {\"cell\": \"<b>Forward (5′->3′)</b>\", \"bbox\": [69, 2, 142, 17]}, {\"cell\": \"<b>Reverse (5′->3′)</b>\", \"bbox\": [248, 2, 318, 17]}, {\"cell\": \"<b>Amplicon</b>\", \"bbox\": [436, 6, 480, 16]}, {\"cell\": \"<b>E6Fl</b>\", \"bbox\": [4, 23, 26, 34]}, {\"cell\": \"CACAGGAGCGACCCAGAAA\", \"bbox\": [69, 20, 204, 35]}, {\"cell\": \"CCCGAAAAGCAAAGTCATATACC\", \"bbox\": [248, 20, 406, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 23, 473, 34]}, {\"cell\": \"<b>E6*I</b>\", \"bbox\": [4, 40, 26, 51]}, {\"cell\": \"CTGCGACGTGAGGTGTATTA\", \"bbox\": [69, 37, 204, 52]}, {\"cell\": \"TGTCCAGGTGTCTTTGCTTT\", \"bbox\": [248, 37, 382, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 40, 470, 51]}, {\"cell\": \"<b>E6all</b>\", \"bbox\": [4, 57, 28, 68]}, {\"cell\": \"GAGAACTGCAATGTTTCAGGACC\", \"bbox\": [69, 54, 227, 69]}, {\"cell\": \"TGTATAGTTGTTTGCAGCTCTGTGC\", \"bbox\": [248, 54, 414, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 57, 470, 68]}, {\"cell\": \"<b>B2M</b>\", \"bbox\": [4, 74, 27, 85]}, {\"cell\": \"GATGAGTATGCCGTGTG\", \"bbox\": [69, 71, 184, 86]}, {\"cell\": \"CAATCCAAATGCGGCATCT\", \"bbox\": [248, 71, 377, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 71, 473, 86]}, {\"cell\": \"<b>Oct1</b>\", \"bbox\": [4, 91, 26, 102]}, {\"cell\": \"CAGATCGCACAGGATCTTCA\", \"bbox\": [69, 88, 205, 103]}, {\"cell\": \"GGATGCACCAACACAAACTG\", \"bbox\": [248, 88, 388, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 91, 470, 102]}, {\"cell\": \"<b>TEF-2</b>\", \"bbox\": [4, 108, 33, 119]}, {\"cell\": \"AAAGCTCCCACTTGAAAGCA\", \"bbox\": [69, 105, 208, 120]}, {\"cell\": \"AACTTCCATGTGCACCCTTC\", \"bbox\": [248, 105, 383, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 105, 470, 120]}, {\"cell\": \"<b>NF1</b>\", \"bbox\": [4, 125, 24, 136]}, {\"cell\": \"GTGTTCCATGTGCGATTACG\", \"bbox\": [69, 121, 202, 137]}, {\"cell\": \"TCATGTGCCTTTTCAGCTTG\", \"bbox\": [248, 121, 381, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 121, 473, 137]}, {\"cell\": \"<b>YY1</b>\", \"bbox\": [4, 142, 25, 153]}, {\"cell\": \"ACCTGGCATTGACCTCTCAG\", \"bbox\": [69, 138, 204, 154]}, {\"cell\": \"TTCTCATGGCCGAGTTATCC\", \"bbox\": [248, 138, 381, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 138, 473, 154]}, {\"cell\": \"<b>cFos</b>\", \"bbox\": [4, 159, 25, 169]}, {\"cell\": \"AGAATCCGAAGGGAAAGGAA\", \"bbox\": [69, 155, 212, 170]}, {\"cell\": \"CTTCTCCTTCAGCAGGTTGG\", \"bbox\": [248, 155, 384, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 155, 473, 170]}, {\"cell\": \"<b>cJun</b>\", \"bbox\": [4, 176, 26, 186]}, {\"cell\": \"TGACTGCAAAGATGGAAACG\", \"bbox\": [69, 172, 209, 187]}, {\"cell\": \"CAGGGTCATGCTCTGTTTCA\", \"bbox\": [248, 172, 383, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 172, 473, 187]}, {\"cell\": \"<b>CEBPβ</b>\", \"bbox\": [4, 189, 37, 204]}, {\"cell\": \"TACTACGAGGCGGACTGCTT\", \"bbox\": [69, 189, 205, 204]}, {\"cell\": \"AGGTACGGGCTGAAGTCGAT\", \"bbox\": [248, 189, 387, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 189, 473, 204]}, {\"cell\": \"<b>U6</b>\", \"bbox\": [4, 209, 18, 220]}, {\"cell\": \"CGCTTCGGCAGCACATATAC\", \"bbox\": [69, 206, 202, 221]}, {\"cell\": \"AAAATATGGAACGCTTCACGA\", \"bbox\": [249, 206, 393, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 209, 473, 220]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5542257_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}23{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Sample characteristics</b></td><td><b>Percent</b></td></tr></thead><tbody><tr><td>Gender</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (years)</td><td>[EMPTY_CELL]</td></tr><tr><td> 18–44</td><td>[EMPTY_CELL]</td></tr><tr><td>45–54</td><td>[EMPTY_CELL]</td></tr><tr><td>55–64</td><td>[EMPTY_CELL]</td></tr><tr><td>≥65</td><td>[EMPTY_CELL]</td></tr><tr><td>Race</td><td>[EMPTY_CELL]</td></tr><tr><td> Fujan</td><td>[EMPTY_CELL]</td></tr><tr><td> China</td><td>[EMPTY_CELL]</td></tr><tr><td> Haka</td><td>[EMPTY_CELL]</td></tr><tr><td> Aboriginal</td><td>[EMPTY_CELL]</td></tr><tr><td>Highest education</td><td>[EMPTY_CELL]</td></tr><tr><td>< High school graduate</td><td>[EMPTY_CELL]</td></tr><tr><td>≥ High school graduate</td><td>[EMPTY_CELL]</td></tr><tr><td>House income</td><td>[EMPTY_CELL]</td></tr><tr><td>≤ US$ 10,000 (NT$330,000)</td><td>[EMPTY_CELL]</td></tr><tr><td>US$ 10,001–30,000 (NT$330,001–990,000)</td><td>[EMPTY_CELL]</td></tr><tr><td>≥ US$ 30,001 (NT$990,001)</td><td>[EMPTY_CELL]</td></tr><tr><td>Unknown</td><td>[EMPTY_CELL]</td></tr><tr><td>Duration of diagnosis (years)</td><td>[EMPTY_CELL]</td></tr><tr><td>1–5</td><td>[EMPTY_CELL]</td></tr><tr><td>6–10</td><td>[EMPTY_CELL]</td></tr><tr><td>≥10</td><td>[EMPTY_CELL]</td></tr><tr><td>Diabetes treatment</td><td>[EMPTY_CELL]</td></tr><tr><td>Oral agent</td><td>[EMPTY_CELL]</td></tr><tr><td>Insulin</td><td>[EMPTY_CELL]</td></tr><tr><td>Both</td><td>[EMPTY_CELL]</td></tr><tr><td>Clinic visit frequency</td><td>[EMPTY_CELL]</td></tr><tr><td>≤ Monthly</td><td>[EMPTY_CELL]</td></tr><tr><td>> Monthly</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Sample characteristics</b>\", \"bbox\": [2, 4, 84, 14]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [209, 4, 238, 14]}, {\"cell\": \"Gender\", \"bbox\": [2, 17, 31, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [12, 29, 32, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 29, 232, 39]}, {\"cell\": \" Female\", \"bbox\": [12, 41, 40, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 41, 232, 52]}, {\"cell\": \"Age (years)\", \"bbox\": [2, 54, 45, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 18–44\", \"bbox\": [12, 67, 36, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 67, 232, 77]}, {\"cell\": \"45–54\", \"bbox\": [12, 79, 36, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 79, 232, 90]}, {\"cell\": \"55–64\", \"bbox\": [12, 92, 36, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 92, 232, 102]}, {\"cell\": \"≥65\", \"bbox\": [12, 104, 29, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 104, 232, 115]}, {\"cell\": \"Race\", \"bbox\": [2, 117, 21, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Fujan\", \"bbox\": [12, 129, 35, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 129, 232, 140]}, {\"cell\": \" China\", \"bbox\": [12, 142, 36, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 142, 232, 152]}, {\"cell\": \" Haka\", \"bbox\": [12, 154, 33, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 154, 232, 165]}, {\"cell\": \" Aboriginal\", \"bbox\": [12, 167, 53, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 167, 230, 177]}, {\"cell\": \"Highest education\", \"bbox\": [2, 180, 70, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< High school graduate\", \"bbox\": [12, 192, 99, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 192, 232, 203]}, {\"cell\": \"≥ High school graduate\", \"bbox\": [12, 204, 100, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 204, 232, 215]}, {\"cell\": \"House income\", \"bbox\": [2, 217, 56, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤ US$ 10,000 (NT$330,000)\", \"bbox\": [12, 230, 117, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 230, 232, 240]}, {\"cell\": \"US$ 10,001–30,000 (NT$330,001–990,000)\", \"bbox\": [12, 242, 169, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 242, 232, 253]}, {\"cell\": \"≥ US$ 30,001 (NT$990,001)\", \"bbox\": [12, 255, 117, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 255, 232, 265]}, {\"cell\": \"Unknown\", \"bbox\": [12, 267, 50, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 267, 230, 278]}, {\"cell\": \"Duration of diagnosis (years)\", \"bbox\": [2, 280, 109, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1–5\", \"bbox\": [12, 292, 28, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 292, 232, 303]}, {\"cell\": \"6–10\", \"bbox\": [12, 305, 32, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 305, 232, 315]}, {\"cell\": \"≥10\", \"bbox\": [12, 317, 29, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 317, 232, 328]}, {\"cell\": \"Diabetes treatment\", \"bbox\": [2, 330, 73, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Oral agent\", \"bbox\": [12, 343, 52, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 343, 232, 353]}, {\"cell\": \"Insulin\", \"bbox\": [12, 355, 40, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 355, 230, 366]}, {\"cell\": \"Both\", \"bbox\": [12, 368, 32, 378]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 368, 230, 378]}, {\"cell\": \"Clinic visit frequency\", \"bbox\": [2, 380, 81, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤ Monthly\", \"bbox\": [12, 393, 54, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 393, 232, 403]}, {\"cell\": \"> Monthly\", \"bbox\": [12, 405, 53, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 405, 232, 416]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2952338_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}24{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Period</b></td><td colspan=\\\"4\\\"><b>Household’s wealth quintile, HR (95% CI)</b></td></tr><tr><td><b>First vs fifth</b></td><td><b>Second vs fifth</b></td><td><b>Third vs fifth</b></td><td><b>Fourth vs fifth</b></td></tr></thead><tbody><tr><td><b>Ifakara</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2000–2001</td><td>1.30 (1.09–1.55)</td><td>1.11 (1.01–1.22)</td><td>[EMPTY_CELL]</td><td>1.01 (0.96–1.06)</td></tr><tr><td>2002–2003</td><td>1.27 (1.11–1.44)</td><td>1.08 (1.01–1.15)</td><td>[EMPTY_CELL]</td><td>1.01 (0.97–1.04)</td></tr><tr><td>2004–2005</td><td>1.24 (1.11–1.37)</td><td>1.04 (0.99–1.10)</td><td>[EMPTY_CELL]</td><td>1.01 (0.98–1.04)</td></tr><tr><td>2006–2007</td><td>1.21 (1.08–1.35)</td><td>1.01 (0.96–1.07)</td><td>[EMPTY_CELL]</td><td>1.01 (0.98–1.04)</td></tr><tr><td>2008–2009</td><td>1.18 (1.02–1.36)</td><td>0.98 (0.91–1.05)</td><td>[EMPTY_CELL]</td><td>1.01 (0.97–1.04)</td></tr><tr><td>2010–2011</td><td>1.15 (0.95–1.39)</td><td>0.95 (0.86–1.05)</td><td>[EMPTY_CELL]</td><td>1.01 (0.96–1.06)</td></tr><tr><td><b>Rufiji</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2000–2001</td><td>1.20 (0.99–1.47)</td><td>1.00 (0.90–1.10)</td><td>[EMPTY_CELL]</td><td>0.99 (0.94–1.04)</td></tr><tr><td>2002–2003</td><td>1.25 (1.08–1.45)</td><td>1.04 (0.96–1.12)</td><td>[EMPTY_CELL]</td><td>1.01 (0.97–1.05)</td></tr><tr><td>2004–2005</td><td>1.31 (1.16–1.48)</td><td>1.08 (1.01–1.15)</td><td>[EMPTY_CELL]</td><td>1.03 (1.00–1.06)</td></tr><tr><td>2006–2007</td><td>1.36 (1.18–1.56)</td><td>1.12 (1.05–1.20)</td><td>[EMPTY_CELL]</td><td>1.05 (1.01–1.08)</td></tr><tr><td>2008–2009</td><td>1.42 (1.18–1.70)</td><td>1.16 (1.06–1.27)</td><td>[EMPTY_CELL]</td><td>1.06 (1.02–1.11)</td></tr><tr><td>2010–2011</td><td>1.48 (1.15–1.89)</td><td>1.21 (1.07–1.36)</td><td>[EMPTY_CELL]</td><td>1.08 (1.02–1.15)</td></tr><tr><td><b>All</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2000–2001</td><td>1.27 (1.12–1.45)</td><td>1.06 (0.99–1.13)</td><td>[EMPTY_CELL]</td><td>1.00 (0.97–1.03)</td></tr><tr><td>2002–2003</td><td>1.28 (1.16–1.41)</td><td>1.06 (1.01–1.11)</td><td>[EMPTY_CELL]</td><td>1.01 (0.98–1.03)</td></tr><tr><td>2004–2005</td><td>1.28 (1.19–1.39)</td><td>1.06 (1.01–1.10)</td><td>[EMPTY_CELL]</td><td>1.02 (0.99–1.04)</td></tr><tr><td>2006–2007</td><td>1.29 (1.18–1.40)</td><td>1.06 (1.01–1.10)</td><td>[EMPTY_CELL]</td><td>1.02 (1.00–1.04)</td></tr><tr><td>2008–2009</td><td>1.29 (1.15–1.45)</td><td>1.06 (1.00–1.12)</td><td>[EMPTY_CELL]</td><td>1.03 (1.00–1.06)</td></tr><tr><td>2010–2011</td><td>1.30 (1.12–1.51)</td><td>1.06 (0.98–1.14)</td><td>[EMPTY_CELL]</td><td>1.04 (1.00–1.08)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Period</b>\", \"bbox\": [3, 5, 27, 16]}, {\"cell\": \"<b>Household’s wealth quintile, HR (95% CI)</b>\", \"bbox\": [116, 5, 251, 16]}, {\"cell\": \"<b>First vs fifth</b>\", \"bbox\": [63, 22, 104, 32]}, {\"cell\": \"<b>Second vs fifth</b>\", \"bbox\": [125, 22, 175, 32]}, {\"cell\": \"<b>Third vs fifth</b>\", \"bbox\": [195, 22, 239, 32]}, {\"cell\": \"<b>Fourth vs fifth</b>\", \"bbox\": [259, 22, 308, 32]}, {\"cell\": \"<b>Ifakara</b>\", \"bbox\": [3, 37, 30, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 49, 42, 58]}, {\"cell\": \"1.30 (1.09–1.55)\", \"bbox\": [58, 49, 112, 58]}, {\"cell\": \"1.11 (1.01–1.22)\", \"bbox\": [124, 49, 178, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 49, 245, 58]}, {\"cell\": \"1.01 (0.96–1.06)\", \"bbox\": [257, 49, 312, 58]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 60, 42, 70]}, {\"cell\": \"1.27 (1.11–1.44)\", \"bbox\": [58, 60, 112, 70]}, {\"cell\": \"1.08 (1.01–1.15)\", \"bbox\": [124, 60, 178, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 60, 245, 70]}, {\"cell\": \"1.01 (0.97–1.04)\", \"bbox\": [257, 60, 312, 70]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 72, 42, 82]}, {\"cell\": \"1.24 (1.11–1.37)\", \"bbox\": [58, 72, 112, 82]}, {\"cell\": \"1.04 (0.99–1.10)\", \"bbox\": [124, 72, 178, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 72, 245, 82]}, {\"cell\": \"1.01 (0.98–1.04)\", \"bbox\": [257, 72, 312, 82]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 84, 42, 93]}, {\"cell\": \"1.21 (1.08–1.35)\", \"bbox\": [58, 84, 112, 93]}, {\"cell\": \"1.01 (0.96–1.07)\", \"bbox\": [124, 84, 178, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 84, 245, 93]}, {\"cell\": \"1.01 (0.98–1.04)\", \"bbox\": [257, 84, 312, 93]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 96, 42, 105]}, {\"cell\": \"1.18 (1.02–1.36)\", \"bbox\": [58, 96, 112, 105]}, {\"cell\": \"0.98 (0.91–1.05)\", \"bbox\": [124, 96, 178, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 96, 245, 105]}, {\"cell\": \"1.01 (0.97–1.04)\", \"bbox\": [257, 96, 312, 105]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 107, 42, 117]}, {\"cell\": \"1.15 (0.95–1.39)\", \"bbox\": [58, 107, 112, 117]}, {\"cell\": \"0.95 (0.86–1.05)\", \"bbox\": [124, 107, 178, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 107, 245, 117]}, {\"cell\": \"1.01 (0.96–1.06)\", \"bbox\": [257, 107, 312, 117]}, {\"cell\": \"<b>Rufiji</b>\", \"bbox\": [3, 119, 24, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 131, 42, 140]}, {\"cell\": \"1.20 (0.99–1.47)\", \"bbox\": [58, 131, 112, 140]}, {\"cell\": \"1.00 (0.90–1.10)\", \"bbox\": [124, 131, 178, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 131, 245, 140]}, {\"cell\": \"0.99 (0.94–1.04)\", \"bbox\": [257, 131, 312, 140]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 143, 42, 152]}, {\"cell\": \"1.25 (1.08–1.45)\", \"bbox\": [58, 143, 112, 152]}, {\"cell\": \"1.04 (0.96–1.12)\", \"bbox\": [124, 143, 178, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 143, 245, 152]}, {\"cell\": \"1.01 (0.97–1.05)\", \"bbox\": [257, 143, 312, 152]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 154, 42, 164]}, {\"cell\": \"1.31 (1.16–1.48)\", \"bbox\": [58, 154, 112, 164]}, {\"cell\": \"1.08 (1.01–1.15)\", \"bbox\": [124, 154, 178, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 154, 245, 164]}, {\"cell\": \"1.03 (1.00–1.06)\", \"bbox\": [257, 154, 312, 164]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 166, 42, 176]}, {\"cell\": \"1.36 (1.18–1.56)\", \"bbox\": [58, 166, 112, 176]}, {\"cell\": \"1.12 (1.05–1.20)\", \"bbox\": [124, 166, 178, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 166, 245, 176]}, {\"cell\": \"1.05 (1.01–1.08)\", \"bbox\": [257, 166, 312, 176]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 178, 42, 187]}, {\"cell\": \"1.42 (1.18–1.70)\", \"bbox\": [58, 178, 112, 187]}, {\"cell\": \"1.16 (1.06–1.27)\", \"bbox\": [124, 178, 178, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 178, 245, 187]}, {\"cell\": \"1.06 (1.02–1.11)\", \"bbox\": [257, 178, 312, 187]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 190, 42, 199]}, {\"cell\": \"1.48 (1.15–1.89)\", \"bbox\": [58, 190, 112, 199]}, {\"cell\": \"1.21 (1.07–1.36)\", \"bbox\": [124, 190, 178, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 190, 245, 199]}, {\"cell\": \"1.08 (1.02–1.15)\", \"bbox\": [257, 190, 312, 199]}, {\"cell\": \"<b>All</b>\", \"bbox\": [3, 201, 15, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 213, 42, 223]}, {\"cell\": \"1.27 (1.12–1.45)\", \"bbox\": [58, 213, 112, 223]}, {\"cell\": \"1.06 (0.99–1.13)\", \"bbox\": [124, 213, 178, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 213, 245, 223]}, {\"cell\": \"1.00 (0.97–1.03)\", \"bbox\": [257, 213, 312, 223]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 225, 42, 234]}, {\"cell\": \"1.28 (1.16–1.41)\", \"bbox\": [58, 225, 112, 234]}, {\"cell\": \"1.06 (1.01–1.11)\", \"bbox\": [124, 225, 178, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 225, 245, 234]}, {\"cell\": \"1.01 (0.98–1.03)\", \"bbox\": [257, 225, 312, 234]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 237, 42, 246]}, {\"cell\": \"1.28 (1.19–1.39)\", \"bbox\": [58, 237, 112, 246]}, {\"cell\": \"1.06 (1.01–1.10)\", \"bbox\": [124, 237, 178, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 237, 245, 246]}, {\"cell\": \"1.02 (0.99–1.04)\", \"bbox\": [257, 237, 312, 246]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 248, 42, 258]}, {\"cell\": \"1.29 (1.18–1.40)\", \"bbox\": [58, 248, 112, 258]}, {\"cell\": \"1.06 (1.01–1.10)\", \"bbox\": [124, 248, 178, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 248, 245, 258]}, {\"cell\": \"1.02 (1.00–1.04)\", \"bbox\": [257, 248, 312, 258]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 260, 42, 270]}, {\"cell\": \"1.29 (1.15–1.45)\", \"bbox\": [58, 260, 112, 270]}, {\"cell\": \"1.06 (1.00–1.12)\", \"bbox\": [124, 260, 178, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 260, 245, 270]}, {\"cell\": \"1.03 (1.00–1.06)\", \"bbox\": [257, 260, 312, 270]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 272, 42, 281]}, {\"cell\": \"1.30 (1.12–1.51)\", \"bbox\": [58, 272, 112, 281]}, {\"cell\": \"1.06 (0.98–1.14)\", \"bbox\": [124, 272, 178, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 272, 245, 281]}, {\"cell\": \"1.04 (1.00–1.08)\", \"bbox\": [257, 272, 312, 281]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4794298_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}25{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Genetic factor</b></td><td>[EMPTY_CELL]</td><td><b>≥65 years (n = 122)</b></td><td><b>OR</b></td><td><b>95% CI</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>HLA-Bw4</td><td>28 (53.8)</td><td>[EMPTY_CELL]</td><td>0.73</td><td>0.38-1.41</td><td>0.35</td></tr><tr><td>HLA-C1</td><td>52 (100.0)</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>0.35</td></tr><tr><td>2DL2</td><td>15 (28.8)</td><td>[EMPTY_CELL]</td><td>2.69</td><td>1.21-5.96</td><td>0.013</td></tr><tr><td>2DS2</td><td>13 (25.0)</td><td>[EMPTY_CELL]</td><td>2.57</td><td>1.11-5.95</td><td>0.024</td></tr><tr><td>2DS5</td><td>7 (13.5)</td><td>[EMPTY_CELL]</td><td>0.33</td><td>0.14-0.80</td><td>0.011</td></tr><tr><td>3DS1</td><td>13 (25.0)</td><td>[EMPTY_CELL]</td><td>0.42</td><td>0.20-0.86</td><td>0.017</td></tr><tr><td>2DL2+HLA-C1</td><td>15 (28.8)</td><td>[EMPTY_CELL]</td><td>2.89</td><td>1.29-6.48</td><td>0.008</td></tr><tr><td>2DL2+HLA-C1C1</td><td>15 (28.8)</td><td>[EMPTY_CELL]</td><td>3.72</td><td>1.60-8.66</td><td>0.0015</td></tr><tr><td>2DS2+HLA-C1</td><td>13 (25.0)</td><td>[EMPTY_CELL]</td><td>2.79</td><td>1.19-6.55</td><td>0.015</td></tr><tr><td>2DS2+HLA-C1C1</td><td>13 (25.0)</td><td>[EMPTY_CELL]</td><td>3.73</td><td>1.52-9.20</td><td>0.0027</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Genetic factor</b>\", \"bbox\": [4, 6, 66, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 6, 197, 16]}, {\"cell\": \"<b>≥65 years (n = 122)</b>\", \"bbox\": [204, 2, 287, 17]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [317, 6, 334, 16]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [381, 6, 416, 16]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [450, 6, 483, 16]}, {\"cell\": \"HLA-Bw4\", \"bbox\": [3, 23, 48, 34]}, {\"cell\": \"28 (53.8)\", \"bbox\": [139, 23, 177, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 23, 265, 34]}, {\"cell\": \"0.73\", \"bbox\": [316, 23, 335, 34]}, {\"cell\": \"0.38-1.41\", \"bbox\": [378, 23, 419, 34]}, {\"cell\": \"0.35\", \"bbox\": [457, 23, 477, 34]}, {\"cell\": \"HLA-C1\", \"bbox\": [3, 40, 41, 51]}, {\"cell\": \"52 (100.0)\", \"bbox\": [136, 40, 180, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 40, 267, 51]}, {\"cell\": \"-\", \"bbox\": [323, 40, 328, 51]}, {\"cell\": \"-\", \"bbox\": [396, 40, 401, 51]}, {\"cell\": \"0.35\", \"bbox\": [457, 40, 477, 51]}, {\"cell\": \"2DL2\", \"bbox\": [3, 57, 29, 68]}, {\"cell\": \"15 (28.8)\", \"bbox\": [139, 57, 177, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 57, 265, 68]}, {\"cell\": \"2.69\", \"bbox\": [316, 57, 335, 68]}, {\"cell\": \"1.21-5.96\", \"bbox\": [378, 57, 419, 68]}, {\"cell\": \"0.013\", \"bbox\": [455, 57, 479, 68]}, {\"cell\": \"2DS2\", \"bbox\": [3, 74, 28, 85]}, {\"cell\": \"13 (25.0)\", \"bbox\": [139, 74, 177, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 74, 264, 85]}, {\"cell\": \"2.57\", \"bbox\": [316, 74, 335, 85]}, {\"cell\": \"1.11-5.95\", \"bbox\": [379, 74, 419, 85]}, {\"cell\": \"0.024\", \"bbox\": [455, 74, 479, 85]}, {\"cell\": \"2DS5\", \"bbox\": [3, 91, 28, 102]}, {\"cell\": \"7 (13.5)\", \"bbox\": [141, 91, 175, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 91, 265, 102]}, {\"cell\": \"0.33\", \"bbox\": [316, 91, 335, 102]}, {\"cell\": \"0.14-0.80\", \"bbox\": [378, 91, 419, 102]}, {\"cell\": \"0.011\", \"bbox\": [455, 91, 479, 102]}, {\"cell\": \"3DS1\", \"bbox\": [3, 108, 28, 119]}, {\"cell\": \"13 (25.0)\", \"bbox\": [139, 108, 177, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 108, 265, 119]}, {\"cell\": \"0.42\", \"bbox\": [316, 108, 335, 119]}, {\"cell\": \"0.20-0.86\", \"bbox\": [378, 108, 419, 119]}, {\"cell\": \"0.017\", \"bbox\": [455, 108, 479, 119]}, {\"cell\": \"2DL2+HLA-C1\", \"bbox\": [3, 125, 70, 136]}, {\"cell\": \"15 (28.8)\", \"bbox\": [139, 125, 177, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 125, 265, 136]}, {\"cell\": \"2.89\", \"bbox\": [316, 125, 335, 136]}, {\"cell\": \"1.29-6.48\", \"bbox\": [378, 125, 419, 136]}, {\"cell\": \"0.008\", \"bbox\": [455, 125, 479, 136]}, {\"cell\": \"2DL2+HLA-C1C1\", \"bbox\": [3, 142, 82, 153]}, {\"cell\": \"15 (28.8)\", \"bbox\": [139, 142, 177, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 142, 262, 153]}, {\"cell\": \"3.72\", \"bbox\": [316, 142, 335, 153]}, {\"cell\": \"1.60-8.66\", \"bbox\": [378, 142, 419, 153]}, {\"cell\": \"0.0015\", \"bbox\": [452, 142, 482, 153]}, {\"cell\": \"2DS2+HLA-C1\", \"bbox\": [3, 158, 69, 170]}, {\"cell\": \"13 (25.0)\", \"bbox\": [139, 158, 177, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 158, 265, 170]}, {\"cell\": \"2.79\", \"bbox\": [316, 158, 335, 170]}, {\"cell\": \"1.19-6.55\", \"bbox\": [378, 158, 419, 170]}, {\"cell\": \"0.015\", \"bbox\": [455, 158, 479, 170]}, {\"cell\": \"2DS2+HLA-C1C1\", \"bbox\": [3, 175, 81, 186]}, {\"cell\": \"13 (25.0)\", \"bbox\": [139, 175, 177, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 175, 262, 186]}, {\"cell\": \"3.73\", \"bbox\": [316, 175, 335, 186]}, {\"cell\": \"1.52-9.20\", \"bbox\": [378, 175, 419, 186]}, {\"cell\": \"0.0027\", \"bbox\": [452, 175, 482, 186]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5929415_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}26{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>All patients (<i>N</i> = 20)</b></td><td><b>MRD<sup>neg</sup> (<i>N</i> = 8)</b></td><td><b>MRD<sup>pos</sup> (<i>N</i> = 12)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>59 (42–75)</td><td>57 (46–70)</td><td>60 (42–72)</td></tr><tr><td>[EMPTY_CELL]</td><td>7/13</td><td>3/5</td><td>4/8</td></tr><tr><td>[EMPTY_CELL]</td><td>93 (9->140)</td><td>77</td><td>107</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>3</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>18 (90%)</td><td>8 (100%)</td><td>10 (83%)</td></tr><tr><td>[EMPTY_CELL]</td><td>7.3 (4–22)</td><td>9.3 (5.7–22)</td><td>7 (4–12)</td></tr><tr><td>[EMPTY_CELL]</td><td>93 (17–879)</td><td>202 (17–795)</td><td>68 (18–879)</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>3</td><td>4</td></tr><tr><td>[EMPTY_CELL]</td><td>550 (30–4396)</td><td>796 (87–3415)</td><td>346 (30–4396)</td></tr><tr><td>[EMPTY_CELL]</td><td>8/10/2</td><td>3/4/1</td><td>5/6/1</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>1/3 (33%)</td><td>2/3 (67%)</td></tr><tr><td>[EMPTY_CELL]</td><td>8% (0–30%)</td><td>5% (0–20)</td><td>15% (0–30)</td></tr><tr><td>[EMPTY_CELL]</td><td>17 (85%)</td><td>7</td><td>10</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (15%)</td><td>1</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>8 (40%)</td><td>2/8 (25%)</td><td>6/8 (75%)</td></tr><tr><td>[EMPTY_CELL]</td><td>14 (70%)</td><td>6/8 (75%)</td><td>8/12 (67%)</td></tr><tr><td>[EMPTY_CELL]</td><td>12/18 (67%)</td><td>6/8 (75%)</td><td>6/10 (60%)</td></tr><tr><td>[EMPTY_CELL]</td><td>4/7</td><td>3/3 (100%)</td><td>1/4 (25%)</td></tr><tr><td>[EMPTY_CELL]</td><td>2/3</td><td>1/1 (100%)</td><td>1/2 (50%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All patients (<i>N</i> = 20)</b>\", \"bbox\": [80, 9, 122, 30]}, {\"cell\": \"<b>MRD<sup>neg</sup> (<i>N</i> = 8)</b>\", \"bbox\": [137, 7, 175, 30]}, {\"cell\": \"<b>MRD<sup>pos</sup> (<i>N</i> = 12)</b>\", \"bbox\": [189, 7, 235, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 41, 15, 50]}, {\"cell\": \"59 (42–75)\", \"bbox\": [80, 41, 116, 50]}, {\"cell\": \"57 (46–70)\", \"bbox\": [137, 41, 172, 50]}, {\"cell\": \"60 (42–72)\", \"bbox\": [189, 41, 225, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 56, 42, 65]}, {\"cell\": \"7/13\", \"bbox\": [80, 56, 96, 65]}, {\"cell\": \"3/5\", \"bbox\": [137, 56, 149, 65]}, {\"cell\": \"4/8\", \"bbox\": [189, 56, 201, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 69, 71, 80]}, {\"cell\": \"93 (9->140)\", \"bbox\": [80, 71, 119, 80]}, {\"cell\": \"77\", \"bbox\": [137, 71, 146, 80]}, {\"cell\": \"107\", \"bbox\": [189, 71, 203, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 60, 107]}, {\"cell\": \"5\", \"bbox\": [80, 86, 86, 95]}, {\"cell\": \"3\", \"bbox\": [137, 86, 143, 95]}, {\"cell\": \"2\", \"bbox\": [189, 86, 195, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 113, 62, 122]}, {\"cell\": \"18 (90%)\", \"bbox\": [80, 113, 110, 122]}, {\"cell\": \"8 (100%)\", \"bbox\": [137, 113, 167, 122]}, {\"cell\": \"10 (83%)\", \"bbox\": [189, 113, 219, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 62, 137]}, {\"cell\": \"7.3 (4–22)\", \"bbox\": [80, 128, 113, 137]}, {\"cell\": \"9.3 (5.7–22)\", \"bbox\": [137, 128, 175, 137]}, {\"cell\": \"7 (4–12)\", \"bbox\": [189, 128, 217, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 70, 152]}, {\"cell\": \"93 (17–879)\", \"bbox\": [80, 143, 119, 152]}, {\"cell\": \"202 (17–795)\", \"bbox\": [137, 143, 180, 152]}, {\"cell\": \"68 (18–879)\", \"bbox\": [189, 143, 229, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 68, 167]}, {\"cell\": \"7\", \"bbox\": [80, 157, 86, 167]}, {\"cell\": \"3\", \"bbox\": [137, 157, 143, 167]}, {\"cell\": \"4\", \"bbox\": [189, 157, 195, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 172, 61, 182]}, {\"cell\": \"550 (30–4396)\", \"bbox\": [80, 172, 127, 182]}, {\"cell\": \"796 (87–3415)\", \"bbox\": [137, 172, 183, 182]}, {\"cell\": \"346 (30–4396)\", \"bbox\": [189, 172, 236, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 187, 59, 197]}, {\"cell\": \"8/10/2\", \"bbox\": [80, 187, 103, 197]}, {\"cell\": \"3/4/1\", \"bbox\": [137, 187, 156, 197]}, {\"cell\": \"5/6/1\", \"bbox\": [189, 187, 208, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 202, 50, 212]}, {\"cell\": \"3\", \"bbox\": [80, 202, 86, 212]}, {\"cell\": \"1/3 (33%)\", \"bbox\": [137, 202, 169, 212]}, {\"cell\": \"2/3 (67%)\", \"bbox\": [189, 202, 222, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 217, 47, 227]}, {\"cell\": \"8% (0–30%)\", \"bbox\": [80, 217, 120, 227]}, {\"cell\": \"5% (0–20)\", \"bbox\": [137, 217, 171, 227]}, {\"cell\": \"15% (0–30)\", \"bbox\": [189, 217, 227, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 232, 60, 254]}, {\"cell\": \"17 (85%)\", \"bbox\": [80, 232, 110, 242]}, {\"cell\": \"7\", \"bbox\": [137, 232, 143, 242]}, {\"cell\": \"10\", \"bbox\": [189, 232, 199, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 259, 21, 269]}, {\"cell\": \"3 (15%)\", \"bbox\": [80, 259, 106, 269]}, {\"cell\": \"1\", \"bbox\": [137, 259, 143, 269]}, {\"cell\": \"2\", \"bbox\": [189, 259, 195, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 274, 63, 295]}, {\"cell\": \"8 (40%)\", \"bbox\": [80, 274, 106, 284]}, {\"cell\": \"2/8 (25%)\", \"bbox\": [137, 274, 169, 284]}, {\"cell\": \"6/8 (75%)\", \"bbox\": [189, 274, 222, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 301, 67, 310]}, {\"cell\": \"14 (70%)\", \"bbox\": [80, 301, 110, 310]}, {\"cell\": \"6/8 (75%)\", \"bbox\": [137, 301, 169, 310]}, {\"cell\": \"8/12 (67%)\", \"bbox\": [189, 301, 225, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 316, 51, 325]}, {\"cell\": \"12/18 (67%)\", \"bbox\": [80, 316, 120, 325]}, {\"cell\": \"6/8 (75%)\", \"bbox\": [137, 316, 169, 325]}, {\"cell\": \"6/10 (60%)\", \"bbox\": [189, 316, 225, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 331, 57, 340]}, {\"cell\": \"4/7\", \"bbox\": [80, 331, 92, 340]}, {\"cell\": \"3/3 (100%)\", \"bbox\": [137, 331, 173, 340]}, {\"cell\": \"1/4 (25%)\", \"bbox\": [189, 331, 222, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 346, 49, 355]}, {\"cell\": \"2/3\", \"bbox\": [80, 346, 92, 355]}, {\"cell\": \"1/1 (100%)\", \"bbox\": [137, 346, 173, 355]}, {\"cell\": \"1/2 (50%)\", \"bbox\": [189, 346, 222, 355]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5967299_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}27{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"3\\\"><b><i>Mean level – model 1</i></b></td><td colspan=\\\"2\\\"><b><i>Random effects – model 2</i></b></td></tr></thead><tbody><tr><td>Disvalue</td><td>Coef. (95% CI)</td><td>[EMPTY_CELL]</td><td>Coef. (95% CI)</td><td>P value</td></tr><tr><td>Lev2 social act.</td><td>-0.297 (-0.345 to -0.249)</td><td>[EMPTY_CELL]</td><td>-0.307 (-0.337 to -0.276)</td><td><0.001</td></tr><tr><td>Lev3 social act.</td><td>-0.308 (-0.357 to -0.258)</td><td>[EMPTY_CELL]</td><td>-0.304 (-0.334 to -0.274)</td><td><0.001</td></tr><tr><td>Lev2 travelling</td><td>-0.202 (-0.250 to -0.154)</td><td>[EMPTY_CELL]</td><td>-0.207 (-0.240 to -0.174)</td><td><0.001</td></tr><tr><td>Lev3 travelling</td><td>-0.223 (-0.273 to -0.173)</td><td>[EMPTY_CELL]</td><td>-0.205 (-0.235 to -0.175)</td><td><0.001</td></tr><tr><td>Lev2 dependence</td><td>-0.147 (-0.188 to -0.108)</td><td>[EMPTY_CELL]</td><td>-0.156 (-0.181 to -0.131)</td><td><0.001</td></tr><tr><td>Lev2 speaking</td><td>-0.147 (-0.187 to -0.107)</td><td>[EMPTY_CELL]</td><td>-0.141 (-0.166 to -0.116)</td><td><0.001</td></tr><tr><td>Constant</td><td>0.962 (0.905 to 1.020)</td><td>[EMPTY_CELL]</td><td>0.961 (0.907 to 1.015)</td><td><0.001</td></tr><tr><td><i>N</i></td><td>34</td><td>[EMPTY_CELL]</td><td>249</td><td>[EMPTY_CELL]</td></tr><tr><td>Adjusted R<sup>2</sup></td><td>0.936</td><td>[EMPTY_CELL]</td><td>0.373</td><td>[EMPTY_CELL]</td></tr><tr><td>Inconsistencies</td><td>0</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean absolute error</td><td>0.041</td><td>[EMPTY_CELL]</td><td>0.042</td><td>[EMPTY_CELL]</td></tr><tr><td>No. > 0.05</td><td>12 (35%)</td><td>[EMPTY_CELL]</td><td>13(38%)</td><td>[EMPTY_CELL]</td></tr><tr><td>No. > 0.10</td><td>2 (6%)</td><td>[EMPTY_CELL]</td><td>2 (6%)</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Mean error</i></td><td>0.000</td><td>[EMPTY_CELL]</td><td>0.004</td><td>[EMPTY_CELL]</td></tr><tr><td>LB</td><td>8.582</td><td>[EMPTY_CELL]</td><td>10.711</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Mean level – model 1</i></b>\", \"bbox\": [4, 5, 84, 14]}, {\"cell\": \"<b><i>Random effects – model 2</i></b>\", \"bbox\": [314, 5, 410, 14]}, {\"cell\": \"Disvalue\", \"bbox\": [4, 27, 35, 36]}, {\"cell\": \"Coef. (95% CI)\", \"bbox\": [124, 27, 176, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 27, 284, 46]}, {\"cell\": \"Coef. (95% CI)\", \"bbox\": [314, 27, 366, 36]}, {\"cell\": \"P value\", \"bbox\": [455, 27, 474, 46]}, {\"cell\": \"Lev2 social act.\", \"bbox\": [4, 58, 57, 68]}, {\"cell\": \"-0.297 (-0.345 to -0.249)\", \"bbox\": [125, 58, 209, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 58, 291, 68]}, {\"cell\": \"-0.307 (-0.337 to -0.276)\", \"bbox\": [314, 58, 398, 68]}, {\"cell\": \"<0.001\", \"bbox\": [455, 58, 480, 68]}, {\"cell\": \"Lev3 social act.\", \"bbox\": [4, 68, 57, 78]}, {\"cell\": \"-0.308 (-0.357 to -0.258)\", \"bbox\": [125, 68, 209, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 68, 291, 78]}, {\"cell\": \"-0.304 (-0.334 to -0.274)\", \"bbox\": [314, 68, 398, 78]}, {\"cell\": \"<0.001\", \"bbox\": [455, 68, 480, 78]}, {\"cell\": \"Lev2 travelling\", \"bbox\": [4, 79, 55, 88]}, {\"cell\": \"-0.202 (-0.250 to -0.154)\", \"bbox\": [124, 79, 209, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 79, 291, 88]}, {\"cell\": \"-0.207 (-0.240 to -0.174)\", \"bbox\": [314, 79, 398, 88]}, {\"cell\": \"<0.001\", \"bbox\": [455, 79, 480, 88]}, {\"cell\": \"Lev3 travelling\", \"bbox\": [4, 89, 55, 99]}, {\"cell\": \"-0.223 (-0.273 to -0.173)\", \"bbox\": [124, 89, 209, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 89, 291, 99]}, {\"cell\": \"-0.205 (-0.235 to -0.175)\", \"bbox\": [314, 89, 398, 99]}, {\"cell\": \"<0.001\", \"bbox\": [455, 89, 480, 99]}, {\"cell\": \"Lev2 dependence\", \"bbox\": [4, 99, 65, 109]}, {\"cell\": \"-0.147 (-0.188 to -0.108)\", \"bbox\": [124, 99, 209, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 99, 291, 109]}, {\"cell\": \"-0.156 (-0.181 to -0.131)\", \"bbox\": [314, 99, 398, 109]}, {\"cell\": \"<0.001\", \"bbox\": [455, 99, 480, 109]}, {\"cell\": \"Lev2 speaking\", \"bbox\": [4, 109, 53, 119]}, {\"cell\": \"-0.147 (-0.187 to -0.107)\", \"bbox\": [124, 109, 209, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 109, 291, 119]}, {\"cell\": \"-0.141 (-0.166 to -0.116)\", \"bbox\": [314, 109, 398, 119]}, {\"cell\": \"<0.001\", \"bbox\": [455, 109, 480, 119]}, {\"cell\": \"Constant\", \"bbox\": [4, 120, 37, 129]}, {\"cell\": \"0.962 (0.905 to 1.020)\", \"bbox\": [124, 120, 201, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 120, 291, 129]}, {\"cell\": \"0.961 (0.907 to 1.015)\", \"bbox\": [314, 120, 390, 129]}, {\"cell\": \"<0.001\", \"bbox\": [455, 120, 480, 129]}, {\"cell\": \"<i>N</i>\", \"bbox\": [4, 130, 12, 138]}, {\"cell\": \"34\", \"bbox\": [124, 130, 135, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"249\", \"bbox\": [314, 130, 328, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Adjusted R<sup>2</sup>\", \"bbox\": [4, 140, 46, 150]}, {\"cell\": \"0.936\", \"bbox\": [124, 140, 145, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.373\", \"bbox\": [314, 140, 334, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inconsistencies\", \"bbox\": [4, 150, 56, 160]}, {\"cell\": \"0\", \"bbox\": [124, 150, 131, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [314, 150, 320, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean absolute error\", \"bbox\": [4, 161, 75, 170]}, {\"cell\": \"0.041\", \"bbox\": [124, 161, 145, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.042\", \"bbox\": [314, 161, 334, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No. > 0.05\", \"bbox\": [4, 171, 43, 181]}, {\"cell\": \"12 (35%)\", \"bbox\": [124, 171, 156, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13(38%)\", \"bbox\": [314, 171, 343, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No. > 0.10\", \"bbox\": [4, 181, 43, 191]}, {\"cell\": \"2 (6%)\", \"bbox\": [124, 181, 148, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 (6%)\", \"bbox\": [314, 181, 337, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Mean error</i>\", \"bbox\": [4, 192, 42, 199]}, {\"cell\": \"0.000\", \"bbox\": [124, 191, 145, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.004\", \"bbox\": [314, 191, 334, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LB\", \"bbox\": [4, 202, 15, 211]}, {\"cell\": \"8.582\", \"bbox\": [124, 202, 145, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10.711\", \"bbox\": [314, 202, 338, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2546377_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}28{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"7\\\"><b>Truck location<sup>2</sup></b></td></tr><tr><td><b>Transport phase</b></td><td><b>Total time (min)</b></td><td><b>UD</b></td><td><b>BN</b></td><td><b>MD</b></td><td><b>BD</b></td><td><b>SE</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td><b>N</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>18</td><td>36</td><td>48</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Farm</b></td><td>120</td><td>[EMPTY_CELL]</td><td>96</td><td>98</td><td>96</td><td>2.19</td><td>0.74</td></tr><tr><td><b>Loading</b></td><td>5</td><td>[EMPTY_CELL]</td><td>154</td><td>147</td><td>146</td><td>5.23</td><td>0.54</td></tr><tr><td><b>Waiting at loading</b></td><td>120</td><td>[EMPTY_CELL]</td><td>115<sup>b</sup></td><td>129<sup>a</sup></td><td>126<sup>a</sup></td><td>2.61</td><td>0.01</td></tr><tr><td><b>First transport phas</b></td><td>190</td><td>[EMPTY_CELL]</td><td>106</td><td>109</td><td>104</td><td>2.32</td><td>0.29</td></tr><tr><td><b>First stop</b></td><td>30</td><td>[EMPTY_CELL]</td><td>97</td><td>94</td><td>95</td><td>2.09</td><td>0.88</td></tr><tr><td><b>Second transport phase</b></td><td>140</td><td>[EMPTY_CELL]</td><td>105</td><td>107</td><td>103</td><td>2.01</td><td>0.22</td></tr><tr><td><b>Second stop</b></td><td>15</td><td>[EMPTY_CELL]</td><td>94</td><td>97</td><td>96</td><td>2.57</td><td>0.93</td></tr><tr><td><b>Third transport phase</b></td><td>45</td><td>[EMPTY_CELL]</td><td>106</td><td>107</td><td>101</td><td>3.20</td><td>0.51</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Truck location<sup>2</sup></b>\", \"bbox\": [255, 4, 330, 18]}, {\"cell\": \"<b>Transport phase</b>\", \"bbox\": [7, 21, 86, 33]}, {\"cell\": \"<b>Total time (min)</b>\", \"bbox\": [132, 21, 211, 33]}, {\"cell\": \"<b>UD</b>\", \"bbox\": [228, 21, 246, 33]}, {\"cell\": \"<b>BN</b>\", \"bbox\": [266, 21, 283, 33]}, {\"cell\": \"<b>MD</b>\", \"bbox\": [300, 21, 320, 33]}, {\"cell\": \"<b>BD</b>\", \"bbox\": [341, 21, 358, 33]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [380, 21, 395, 33]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [414, 21, 451, 33]}, {\"cell\": \"<b>N</b>\", \"bbox\": [7, 37, 17, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 37, 243, 49]}, {\"cell\": \"18\", \"bbox\": [268, 37, 281, 49]}, {\"cell\": \"36\", \"bbox\": [304, 37, 317, 49]}, {\"cell\": \"48\", \"bbox\": [343, 37, 356, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Farm</b>\", \"bbox\": [7, 52, 35, 64]}, {\"cell\": \"120\", \"bbox\": [162, 52, 181, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 52, 243, 64]}, {\"cell\": \"96\", \"bbox\": [268, 52, 281, 64]}, {\"cell\": \"98\", \"bbox\": [304, 52, 317, 64]}, {\"cell\": \"96\", \"bbox\": [343, 52, 356, 64]}, {\"cell\": \"2.19\", \"bbox\": [377, 52, 398, 64]}, {\"cell\": \"0.74\", \"bbox\": [422, 52, 443, 64]}, {\"cell\": \"<b>Loading</b>\", \"bbox\": [7, 67, 48, 79]}, {\"cell\": \"5\", \"bbox\": [168, 67, 175, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 67, 246, 79]}, {\"cell\": \"154\", \"bbox\": [265, 67, 283, 79]}, {\"cell\": \"147\", \"bbox\": [301, 67, 320, 79]}, {\"cell\": \"146\", \"bbox\": [340, 67, 359, 79]}, {\"cell\": \"5.23\", \"bbox\": [377, 67, 398, 79]}, {\"cell\": \"0.54\", \"bbox\": [422, 67, 443, 79]}, {\"cell\": \"<b>Waiting at loading</b>\", \"bbox\": [7, 82, 96, 94]}, {\"cell\": \"120\", \"bbox\": [162, 82, 181, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 79, 248, 94]}, {\"cell\": \"115<sup>b</sup>\", \"bbox\": [263, 79, 285, 94]}, {\"cell\": \"129<sup>a</sup>\", \"bbox\": [299, 79, 321, 94]}, {\"cell\": \"126<sup>a</sup>\", \"bbox\": [339, 79, 360, 94]}, {\"cell\": \"2.61\", \"bbox\": [377, 82, 398, 94]}, {\"cell\": \"0.01\", \"bbox\": [422, 82, 443, 94]}, {\"cell\": \"<b>First transport phas</b>\", \"bbox\": [7, 97, 108, 109]}, {\"cell\": \"190\", \"bbox\": [162, 97, 181, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 97, 246, 109]}, {\"cell\": \"106\", \"bbox\": [265, 97, 283, 109]}, {\"cell\": \"109\", \"bbox\": [301, 97, 320, 109]}, {\"cell\": \"104\", \"bbox\": [340, 97, 359, 109]}, {\"cell\": \"2.32\", \"bbox\": [377, 97, 398, 109]}, {\"cell\": \"0.29\", \"bbox\": [422, 97, 443, 109]}, {\"cell\": \"<b>First stop</b>\", \"bbox\": [7, 112, 54, 124]}, {\"cell\": \"30\", \"bbox\": [165, 112, 178, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 112, 243, 124]}, {\"cell\": \"97\", \"bbox\": [268, 112, 281, 124]}, {\"cell\": \"94\", \"bbox\": [304, 112, 317, 124]}, {\"cell\": \"95\", \"bbox\": [343, 112, 356, 124]}, {\"cell\": \"2.09\", \"bbox\": [377, 112, 398, 124]}, {\"cell\": \"0.88\", \"bbox\": [422, 112, 443, 124]}, {\"cell\": \"<b>Second transport phase</b>\", \"bbox\": [7, 127, 119, 139]}, {\"cell\": \"140\", \"bbox\": [162, 127, 181, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 127, 246, 139]}, {\"cell\": \"105\", \"bbox\": [265, 127, 283, 139]}, {\"cell\": \"107\", \"bbox\": [301, 127, 320, 139]}, {\"cell\": \"103\", \"bbox\": [340, 127, 359, 139]}, {\"cell\": \"2.01\", \"bbox\": [377, 127, 398, 139]}, {\"cell\": \"0.22\", \"bbox\": [422, 127, 443, 139]}, {\"cell\": \"<b>Second stop</b>\", \"bbox\": [7, 142, 65, 154]}, {\"cell\": \"15\", \"bbox\": [165, 142, 178, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 142, 243, 154]}, {\"cell\": \"94\", \"bbox\": [268, 142, 281, 154]}, {\"cell\": \"97\", \"bbox\": [304, 142, 317, 154]}, {\"cell\": \"96\", \"bbox\": [343, 142, 356, 154]}, {\"cell\": \"2.57\", \"bbox\": [377, 142, 398, 154]}, {\"cell\": \"0.93\", \"bbox\": [422, 142, 443, 154]}, {\"cell\": \"<b>Third transport phase</b>\", \"bbox\": [7, 157, 113, 169]}, {\"cell\": \"45\", \"bbox\": [165, 157, 178, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 157, 246, 169]}, {\"cell\": \"106\", \"bbox\": [265, 157, 283, 169]}, {\"cell\": \"107\", \"bbox\": [301, 157, 320, 169]}, {\"cell\": \"101\", \"bbox\": [340, 157, 359, 169]}, {\"cell\": \"3.20\", \"bbox\": [377, 157, 398, 169]}, {\"cell\": \"0.51\", \"bbox\": [422, 157, 443, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4494372_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}29{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Valence Classification</b></td><td colspan=\\\"2\\\"><b>Arousal Classification</b></td></tr><tr><td><b>First 3.5 s</b></td><td><b>Second 3.5 s</b></td><td><b>First 3.5 s</b></td><td><b>Second 3.5 s</b></td></tr></thead><tbody><tr><td><b>Participant 1</b></td><td>44.20</td><td>[EMPTY_CELL]</td><td>36.02</td><td>28.88</td></tr><tr><td><b>Participant 2</b></td><td>55.30</td><td>[EMPTY_CELL]</td><td>35.50</td><td>35.70</td></tr><tr><td><b>Participant 3</b></td><td>28.88</td><td>[EMPTY_CELL]</td><td>45.61</td><td>49.39</td></tr><tr><td><b>Participant 4</b></td><td>42.40</td><td>[EMPTY_CELL]</td><td>37.50</td><td>38.90</td></tr><tr><td><b>Participant 5</b></td><td>39.90</td><td>[EMPTY_CELL]</td><td>40.60</td><td>44.30</td></tr><tr><td><b>Participant 6</b></td><td>33.37</td><td>[EMPTY_CELL]</td><td>42.65</td><td>41.02</td></tr><tr><td><b>Participant 7</b></td><td>40.10</td><td>[EMPTY_CELL]</td><td>51.02</td><td>47.35</td></tr><tr><td><b>Participant 8</b></td><td>42.80</td><td>[EMPTY_CELL]</td><td>43.67</td><td>46.53</td></tr><tr><td><b>Participant 9</b></td><td>40.70</td><td>[EMPTY_CELL]</td><td>35.40</td><td>41.40</td></tr><tr><td><b>Participant 10</b></td><td>39.00</td><td>[EMPTY_CELL]</td><td>54.80</td><td>50.61</td></tr><tr><td><b>Ave. error rate</b></td><td><b>41.56</b></td><td>[EMPTY_CELL]</td><td><b>42.28</b></td><td><b>42.48</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Valence Classification</b>\", \"bbox\": [127, 6, 233, 18]}, {\"cell\": \"<b>Arousal Classification</b>\", \"bbox\": [307, 6, 412, 18]}, {\"cell\": \"<b>First 3.5 s</b>\", \"bbox\": [114, 23, 162, 34]}, {\"cell\": \"<b>Second 3.5 s</b>\", \"bbox\": [192, 23, 251, 34]}, {\"cell\": \"<b>First 3.5 s</b>\", \"bbox\": [286, 23, 334, 34]}, {\"cell\": \"<b>Second 3.5 s</b>\", \"bbox\": [377, 23, 436, 34]}, {\"cell\": \"<b>Participant 1</b>\", \"bbox\": [18, 38, 81, 50]}, {\"cell\": \"44.20\", \"bbox\": [125, 38, 152, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 38, 235, 50]}, {\"cell\": \"36.02\", \"bbox\": [296, 38, 323, 50]}, {\"cell\": \"28.88\", \"bbox\": [393, 38, 420, 50]}, {\"cell\": \"<b>Participant 2</b>\", \"bbox\": [18, 53, 81, 65]}, {\"cell\": \"55.30\", \"bbox\": [125, 53, 152, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 53, 235, 65]}, {\"cell\": \"35.50\", \"bbox\": [296, 53, 323, 65]}, {\"cell\": \"35.70\", \"bbox\": [393, 53, 420, 65]}, {\"cell\": \"<b>Participant 3</b>\", \"bbox\": [18, 68, 81, 80]}, {\"cell\": \"28.88\", \"bbox\": [125, 68, 152, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 68, 235, 80]}, {\"cell\": \"45.61\", \"bbox\": [296, 68, 323, 80]}, {\"cell\": \"49.39\", \"bbox\": [393, 68, 420, 80]}, {\"cell\": \"<b>Participant 4</b>\", \"bbox\": [18, 83, 81, 95]}, {\"cell\": \"42.40\", \"bbox\": [125, 83, 152, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 83, 235, 95]}, {\"cell\": \"37.50\", \"bbox\": [296, 83, 323, 95]}, {\"cell\": \"38.90\", \"bbox\": [393, 83, 420, 95]}, {\"cell\": \"<b>Participant 5</b>\", \"bbox\": [18, 98, 81, 110]}, {\"cell\": \"39.90\", \"bbox\": [125, 98, 152, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 98, 235, 110]}, {\"cell\": \"40.60\", \"bbox\": [296, 98, 323, 110]}, {\"cell\": \"44.30\", \"bbox\": [393, 98, 420, 110]}, {\"cell\": \"<b>Participant 6</b>\", \"bbox\": [18, 113, 81, 125]}, {\"cell\": \"33.37\", \"bbox\": [125, 113, 152, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 113, 235, 125]}, {\"cell\": \"42.65\", \"bbox\": [296, 113, 323, 125]}, {\"cell\": \"41.02\", \"bbox\": [393, 113, 420, 125]}, {\"cell\": \"<b>Participant 7</b>\", \"bbox\": [18, 128, 81, 140]}, {\"cell\": \"40.10\", \"bbox\": [125, 128, 152, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 128, 235, 140]}, {\"cell\": \"51.02\", \"bbox\": [296, 128, 323, 140]}, {\"cell\": \"47.35\", \"bbox\": [393, 128, 420, 140]}, {\"cell\": \"<b>Participant 8</b>\", \"bbox\": [18, 143, 81, 155]}, {\"cell\": \"42.80\", \"bbox\": [125, 143, 152, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 143, 235, 155]}, {\"cell\": \"43.67\", \"bbox\": [296, 143, 323, 155]}, {\"cell\": \"46.53\", \"bbox\": [393, 143, 420, 155]}, {\"cell\": \"<b>Participant 9</b>\", \"bbox\": [18, 158, 81, 170]}, {\"cell\": \"40.70\", \"bbox\": [125, 158, 152, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 158, 235, 170]}, {\"cell\": \"35.40\", \"bbox\": [296, 158, 323, 170]}, {\"cell\": \"41.40\", \"bbox\": [393, 158, 420, 170]}, {\"cell\": \"<b>Participant 10</b>\", \"bbox\": [15, 173, 84, 185]}, {\"cell\": \"39.00\", \"bbox\": [125, 173, 152, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 173, 235, 185]}, {\"cell\": \"54.80\", \"bbox\": [296, 173, 323, 185]}, {\"cell\": \"50.61\", \"bbox\": [393, 173, 420, 185]}, {\"cell\": \"<b>Ave. error rate</b>\", \"bbox\": [13, 188, 86, 200]}, {\"cell\": \"<b>41.56</b>\", \"bbox\": [125, 188, 152, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 188, 235, 200]}, {\"cell\": \"<b>42.28</b>\", \"bbox\": [296, 188, 323, 200]}, {\"cell\": \"<b>42.48</b>\", \"bbox\": [393, 188, 420, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4179000_020_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}30{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Epitope preproinsulin</b></td><td><b>MHC restriction</b></td><td><b>responders</b></td><td><b>references</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">GAD<sub>114-123</sub></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Recent-onset T1D</td><td rowspan=\\\"2\\\">[38, 96, 103]</td></tr><tr><td>Transgenic mice</td></tr><tr><td>GAD<sub>114-122</sub></td><td>[EMPTY_CELL]</td><td>Recent-onset T1D</td><td>[101]</td></tr><tr><td>GAD<sub>110-118</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[103]</td></tr><tr><td>GAD<sub>159-167</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[103]</td></tr><tr><td>GAD<sub>476-484</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[103]</td></tr><tr><td>GAD<sub>536-545</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[103]</td></tr><tr><td>IAPP<sub>5-13</sub></td><td>[EMPTY_CELL]</td><td>Recent-onset T1D</td><td>[98]</td></tr><tr><td rowspan=\\\"3\\\">IAPP<sub>9-17</sub></td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>At risk</td><td rowspan=\\\"3\\\">[99, 100]</td></tr><tr><td>Recent-onset T1D</td></tr><tr><td>T1D</td></tr><tr><td>IGRP<sub>215-223</sub></td><td>[EMPTY_CELL]</td><td>Recent-onset T1D</td><td>[100]</td></tr><tr><td rowspan=\\\"2\\\">IGRP<sub>152-160</sub></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>At risk</td><td rowspan=\\\"2\\\">[99, 100]</td></tr><tr><td>T1D</td></tr><tr><td rowspan=\\\"2\\\">IGRP<sub>228-236</sub></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Transgenic mice</td><td rowspan=\\\"2\\\">[96, 102]</td></tr><tr><td>Recent-onset T1D</td></tr><tr><td rowspan=\\\"2\\\">IGRP<sub>266-273</sub></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Transgenic mice</td><td rowspan=\\\"2\\\">[96, 102]</td></tr><tr><td>Recent-onset T1D</td></tr><tr><td>IGRP<sub>206-214</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[102]</td></tr><tr><td>IGRP<sub>337-345</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[102]</td></tr><tr><td>IGRP<sub>265-273</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[102]</td></tr><tr><td rowspan=\\\"2\\\">GFAP<sub>143-151</sub></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>At risk</td><td rowspan=\\\"2\\\">[99]</td></tr><tr><td>T1D</td></tr><tr><td rowspan=\\\"2\\\">GFAP<sub>214-222</sub></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>At risk</td><td rowspan=\\\"2\\\">[99]</td></tr><tr><td>T1D</td></tr><tr><td rowspan=\\\"2\\\">IA-2<sub>797-805</sub></td><td>[EMPTY_CELL]</td><td>Normal subjects</td><td rowspan=\\\"2\\\">[97]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>IA-2<sub>172-180</sub></td><td>[EMPTY_CELL]</td><td>Recent-onset T1D</td><td>[100]</td></tr><tr><td>IA-2<sub>482-490</sub></td><td>[EMPTY_CELL]</td><td>Recent-onset T1D</td><td>[100]</td></tr><tr><td>IA2<sub>790-798</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[103]</td></tr><tr><td>IA2<sub>805-813</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[103]</td></tr><tr><td>IA2<sub>830-839</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[103]</td></tr><tr><td>IA2<sub>962-970</sub></td><td>[EMPTY_CELL]</td><td>Transgenic mice</td><td>[103]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Epitope preproinsulin</b>\", \"bbox\": [2, 4, 83, 14]}, {\"cell\": \"<b>MHC restriction</b>\", \"bbox\": [160, 4, 222, 14]}, {\"cell\": \"<b>responders</b>\", \"bbox\": [316, 4, 358, 14]}, {\"cell\": \"<b>references</b>\", \"bbox\": [456, 4, 494, 14]}, {\"cell\": \"GAD<sub>114-123</sub>\", \"bbox\": [2, 22, 45, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 22, 216, 32]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 17, 370, 27]}, {\"cell\": \"[38, 96, 103]\", \"bbox\": [451, 22, 499, 32]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 29, 367, 39]}, {\"cell\": \"GAD<sub>114-122</sub>\", \"bbox\": [2, 41, 45, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 41, 216, 52]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 41, 370, 52]}, {\"cell\": \"[101]\", \"bbox\": [464, 41, 486, 52]}, {\"cell\": \"GAD<sub>110-118</sub>\", \"bbox\": [2, 54, 45, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 54, 216, 64]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 54, 367, 64]}, {\"cell\": \"[103]\", \"bbox\": [464, 54, 486, 64]}, {\"cell\": \"GAD<sub>159-167</sub>\", \"bbox\": [2, 66, 45, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 66, 216, 77]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 66, 367, 77]}, {\"cell\": \"[103]\", \"bbox\": [464, 66, 486, 77]}, {\"cell\": \"GAD<sub>476-484</sub>\", \"bbox\": [2, 79, 45, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 79, 216, 89]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 79, 367, 89]}, {\"cell\": \"[103]\", \"bbox\": [464, 79, 486, 89]}, {\"cell\": \"GAD<sub>536-545</sub>\", \"bbox\": [2, 91, 45, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 91, 216, 102]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 91, 367, 102]}, {\"cell\": \"[103]\", \"bbox\": [464, 91, 486, 102]}, {\"cell\": \"IAPP<sub>5-13</sub>\", \"bbox\": [2, 104, 36, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 104, 216, 114]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 104, 370, 114]}, {\"cell\": \"[98]\", \"bbox\": [466, 104, 484, 114]}, {\"cell\": \"IAPP<sub>9-17</sub>\", \"bbox\": [2, 128, 36, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 128, 216, 138]}, {\"cell\": \"At risk\", \"bbox\": [324, 116, 350, 127]}, {\"cell\": \"[99, 100]\", \"bbox\": [458, 128, 492, 138]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 129, 370, 139]}, {\"cell\": \"T1D\", \"bbox\": [328, 141, 346, 152]}, {\"cell\": \"IGRP<sub>215-223</sub>\", \"bbox\": [2, 153, 46, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 153, 216, 164]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 153, 370, 164]}, {\"cell\": \"[100]\", \"bbox\": [464, 153, 486, 164]}, {\"cell\": \"IGRP<sub>152-160</sub>\", \"bbox\": [2, 171, 46, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 171, 216, 182]}, {\"cell\": \"At risk\", \"bbox\": [324, 166, 350, 176]}, {\"cell\": \"[99, 100]\", \"bbox\": [458, 171, 492, 182]}, {\"cell\": \"T1D\", \"bbox\": [328, 178, 346, 189]}, {\"cell\": \"IGRP<sub>228-236</sub>\", \"bbox\": [2, 196, 46, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 196, 216, 207]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 191, 367, 201]}, {\"cell\": \"[96, 102]\", \"bbox\": [458, 196, 492, 207]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 203, 370, 214]}, {\"cell\": \"IGRP<sub>266-273</sub>\", \"bbox\": [2, 221, 46, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 221, 216, 232]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 216, 367, 226]}, {\"cell\": \"[96, 102]\", \"bbox\": [458, 221, 492, 232]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 228, 370, 239]}, {\"cell\": \"IGRP<sub>206-214</sub>\", \"bbox\": [2, 241, 46, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 241, 216, 251]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 241, 367, 251]}, {\"cell\": \"[102]\", \"bbox\": [464, 241, 486, 251]}, {\"cell\": \"IGRP<sub>337-345</sub>\", \"bbox\": [2, 253, 46, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 253, 216, 264]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 253, 367, 264]}, {\"cell\": \"[102]\", \"bbox\": [464, 253, 486, 264]}, {\"cell\": \"IGRP<sub>265-273</sub>\", \"bbox\": [2, 266, 46, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 266, 216, 276]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 266, 367, 276]}, {\"cell\": \"[102]\", \"bbox\": [464, 266, 486, 276]}, {\"cell\": \"GFAP<sub>143-151</sub>\", \"bbox\": [2, 289, 47, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 289, 216, 300]}, {\"cell\": \"At risk\", \"bbox\": [324, 284, 350, 295]}, {\"cell\": \"[99]\", \"bbox\": [466, 277, 484, 287]}, {\"cell\": \"T1D\", \"bbox\": [328, 296, 346, 307]}, {\"cell\": \"GFAP<sub>214-222</sub>\", \"bbox\": [2, 314, 47, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 314, 216, 325]}, {\"cell\": \"At risk\", \"bbox\": [324, 309, 350, 319]}, {\"cell\": \"[99]\", \"bbox\": [466, 302, 484, 312]}, {\"cell\": \"T1D\", \"bbox\": [328, 321, 346, 332]}, {\"cell\": \"IA-2<sub>797-805</sub>\", \"bbox\": [2, 339, 42, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal subjects\", \"bbox\": [307, 334, 367, 344]}, {\"cell\": \"[97]\", \"bbox\": [466, 327, 484, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 346, 370, 357]}, {\"cell\": \"IA-2<sub>172-180</sub>\", \"bbox\": [2, 359, 42, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 359, 216, 369]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 359, 370, 369]}, {\"cell\": \"[100]\", \"bbox\": [464, 359, 486, 369]}, {\"cell\": \"IA-2<sub>482-490</sub>\", \"bbox\": [2, 371, 42, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 371, 216, 382]}, {\"cell\": \"Recent-onset T1D\", \"bbox\": [303, 371, 370, 382]}, {\"cell\": \"[100]\", \"bbox\": [464, 371, 486, 382]}, {\"cell\": \"IA2<sub>790-798</sub>\", \"bbox\": [2, 384, 39, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 384, 216, 394]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 384, 367, 394]}, {\"cell\": \"[103]\", \"bbox\": [464, 384, 486, 394]}, {\"cell\": \"IA2<sub>805-813</sub>\", \"bbox\": [2, 396, 39, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 396, 216, 407]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 396, 367, 407]}, {\"cell\": \"[103]\", \"bbox\": [464, 396, 486, 407]}, {\"cell\": \"IA2<sub>830-839</sub>\", \"bbox\": [2, 409, 39, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 409, 216, 419]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 409, 367, 419]}, {\"cell\": \"[103]\", \"bbox\": [464, 409, 486, 419]}, {\"cell\": \"IA2<sub>962-970</sub>\", \"bbox\": [2, 421, 39, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 421, 216, 432]}, {\"cell\": \"Transgenic mice\", \"bbox\": [307, 421, 367, 432]}, {\"cell\": \"[103]\", \"bbox\": [464, 421, 486, 432]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3140193_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}31{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Characteristics</b></td><td colspan=\\\"2\\\"><b>Penicillin non-susceptible(<i>n</i> = 173)</b></td><td colspan=\\\"2\\\"><b>Penicillin Susceptible(<i>n</i> = 681)</b></td><td rowspan=\\\"2\\\"><b>OR 95 % CI</b></td><td rowspan=\\\"2\\\"><b><i>p</i> value</b></td></tr><tr><td><b>N° of cases with information</b></td><td><b>N° (%) cases</b></td><td><b>N° of cases with information</b></td><td><b>N° (%) cases</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>170</td><td>118 (69.4 %)</td><td>671</td><td>424 (63.2 %)</td><td>1.32 [0.92–1.90]</td><td>0.13</td></tr><tr><td>[EMPTY_CELL]</td><td>162</td><td>[EMPTY_CELL]</td><td>651</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>99 (61.1 %)</td><td>[EMPTY_CELL]</td><td>218 (33.5 %)</td><td>4.2 [2.1–8.4]<sup>2</sup></td><td><0.05</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>63 (38.9 %)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>104</td><td>81 (77.9 %)</td><td>356</td><td>289 (81.2 %)</td><td>0.82 [0.47–1.40]</td><td>0.45</td></tr><tr><td>[EMPTY_CELL]</td><td>61</td><td>[EMPTY_CELL]</td><td>177</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7 (11.5 %)</td><td>[EMPTY_CELL]</td><td>7 (3.9 %)</td><td>3.15 [1.05–9.37]</td><td>0.03</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9 (14.8 %)</td><td>[EMPTY_CELL]</td><td>31 (17.5 %)</td><td>0.81 [0.36–1.82]</td><td>0.61</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>13 (21.3 %)</td><td>[EMPTY_CELL]</td><td>38 (21.5 %)</td><td>0.99 [0.48–2.01]</td><td>0.97</td></tr><tr><td>[EMPTY_CELL]</td><td>86</td><td>38 (44.2 %)</td><td>282</td><td>137 (48.6 %)</td><td>0.84 [0.50–1.36]</td><td>0.47</td></tr><tr><td>[EMPTY_CELL]</td><td>157</td><td>94 (59.9 %)</td><td>643</td><td>413 (64.2 %)</td><td>0.83 [0.58–1.18]</td><td>0.30</td></tr><tr><td>[EMPTY_CELL]</td><td>160</td><td>64 (40 %)</td><td>645</td><td>195 (30.2 %)</td><td>1.54 [1.07–2.20]</td><td>0.01</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"<b>Penicillin non-susceptible(<i>n</i> = 173)</b>\", \"bbox\": [122, 4, 232, 13]}, {\"cell\": \"<b>Penicillin Susceptible(<i>n</i> = 681)</b>\", \"bbox\": [261, 4, 357, 13]}, {\"cell\": \"<b>OR 95 % CI</b>\", \"bbox\": [401, 4, 440, 13]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [457, 4, 483, 13]}, {\"cell\": \"<b>N° of cases with information</b>\", \"bbox\": [122, 17, 176, 36]}, {\"cell\": \"<b>N° (%) cases</b>\", \"bbox\": [216, 17, 238, 36]}, {\"cell\": \"<b>N° of cases with information</b>\", \"bbox\": [261, 17, 314, 36]}, {\"cell\": \"<b>N° (%) cases</b>\", \"bbox\": [355, 17, 396, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 18, 49]}, {\"cell\": \"170\", \"bbox\": [122, 39, 135, 49]}, {\"cell\": \"118 (69.4 %)\", \"bbox\": [216, 39, 244, 58]}, {\"cell\": \"671\", \"bbox\": [261, 39, 274, 49]}, {\"cell\": \"424 (63.2 %)\", \"bbox\": [355, 39, 396, 49]}, {\"cell\": \"1.32 [0.92–1.90]\", \"bbox\": [401, 39, 452, 49]}, {\"cell\": \"0.13\", \"bbox\": [457, 39, 472, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 15, 72]}, {\"cell\": \"162\", \"bbox\": [122, 62, 135, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"651\", \"bbox\": [261, 62, 274, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 76, 30, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99 (61.1 %)\", \"bbox\": [216, 76, 254, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"218 (33.5 %)\", \"bbox\": [355, 76, 396, 86]}, {\"cell\": \"4.2 [2.1–8.4]<sup>2</sup>\", \"bbox\": [401, 75, 444, 86]}, {\"cell\": \"<0.05\", \"bbox\": [457, 76, 477, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 90, 30, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"63 (38.9 %)\", \"bbox\": [216, 90, 254, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 104, 84, 123]}, {\"cell\": \"104\", \"bbox\": [122, 104, 135, 114]}, {\"cell\": \"81 (77.9 %)\", \"bbox\": [216, 104, 254, 114]}, {\"cell\": \"356\", \"bbox\": [261, 104, 274, 114]}, {\"cell\": \"289 (81.2 %)\", \"bbox\": [355, 104, 396, 114]}, {\"cell\": \"0.82 [0.47–1.40]\", \"bbox\": [401, 104, 452, 114]}, {\"cell\": \"0.45\", \"bbox\": [457, 104, 472, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 113, 137]}, {\"cell\": \"61\", \"bbox\": [122, 127, 132, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"177\", \"bbox\": [261, 127, 274, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 141, 50, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7 (11.5 %)\", \"bbox\": [216, 141, 250, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7 (3.9 %)\", \"bbox\": [355, 141, 385, 151]}, {\"cell\": \"3.15 [1.05–9.37]\", \"bbox\": [401, 141, 452, 151]}, {\"cell\": \"0.03\", \"bbox\": [457, 141, 472, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 155, 30, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9 (14.8 %)\", \"bbox\": [216, 155, 250, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"31 (17.5 %)\", \"bbox\": [355, 155, 393, 165]}, {\"cell\": \"0.81 [0.36–1.82]\", \"bbox\": [401, 155, 452, 165]}, {\"cell\": \"0.61\", \"bbox\": [457, 155, 472, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 169, 28, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13 (21.3 %)\", \"bbox\": [216, 169, 254, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"38 (21.5 %)\", \"bbox\": [355, 169, 393, 179]}, {\"cell\": \"0.99 [0.48–2.01]\", \"bbox\": [401, 169, 452, 179]}, {\"cell\": \"0.97\", \"bbox\": [457, 169, 472, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 183, 48, 193]}, {\"cell\": \"86\", \"bbox\": [122, 183, 132, 193]}, {\"cell\": \"38 (44.2 %)\", \"bbox\": [216, 183, 254, 193]}, {\"cell\": \"282\", \"bbox\": [261, 183, 274, 193]}, {\"cell\": \"137 (48.6 %)\", \"bbox\": [355, 183, 396, 193]}, {\"cell\": \"0.84 [0.50–1.36]\", \"bbox\": [401, 183, 452, 193]}, {\"cell\": \"0.47\", \"bbox\": [457, 183, 472, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 197, 89, 207]}, {\"cell\": \"157\", \"bbox\": [122, 197, 135, 207]}, {\"cell\": \"94 (59.9 %)\", \"bbox\": [216, 197, 254, 207]}, {\"cell\": \"643\", \"bbox\": [261, 197, 274, 207]}, {\"cell\": \"413 (64.2 %)\", \"bbox\": [355, 197, 396, 207]}, {\"cell\": \"0.83 [0.58–1.18]\", \"bbox\": [401, 197, 452, 207]}, {\"cell\": \"0.30\", \"bbox\": [457, 197, 472, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 211, 22, 221]}, {\"cell\": \"160\", \"bbox\": [122, 211, 135, 221]}, {\"cell\": \"64 (40 %)\", \"bbox\": [216, 211, 249, 221]}, {\"cell\": \"645\", \"bbox\": [261, 211, 274, 221]}, {\"cell\": \"195 (30.2 %)\", \"bbox\": [355, 211, 396, 221]}, {\"cell\": \"1.54 [1.07–2.20]\", \"bbox\": [401, 211, 452, 221]}, {\"cell\": \"0.01\", \"bbox\": [457, 211, 472, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4520018_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}32{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Genotype</b></td><td colspan=\\\"5\\\"><b>Female</b></td><td colspan=\\\"5\\\"><b>Male</b></td></tr><tr><td colspan=\\\"2\\\"><b>N (%)</b></td><td><b>Gastritis</b></td><td><b>DU</b></td><td><b>GU</b></td><td><b><i>P </i><sup><i>a</i></sup></b></td><td><b><i>P </i><sup><i>b</i></sup></b></td><td><b>Gastritis</b></td><td><b>DU</b></td><td><b>GU</b></td><td><b><i>P </i><sup><i>a</i></sup></b></td><td><b><i>P </i><sup><i>b</i></sup></b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">MMP-3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> 5A carrier</td><td>46 (25.1)</td><td>7 (12.3)</td><td>8 (22.2)</td><td><b>0.04</b></td><td>0.71</td><td>28 (34.1)</td><td>15 (24.6)</td><td>[EMPTY_CELL]</td><td>0.22</td><td>0.12</td></tr><tr><td colspan=\\\"2\\\"> 6A/6<sup>a</sup></td><td>137 (74.9)</td><td>50 (87.7)</td><td>28 (77.8)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>54 (65.9)</td><td>46 (75.4)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">MMP-7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> A/A</td><td>150 (82.9)</td><td>45 (80.4)</td><td>32 (91.4)</td><td>[EMPTY_CELL]</td><td>0.31</td><td>72 (88.9)</td><td>52 (86.7)</td><td>[EMPTY_CELL]</td><td>0.69</td><td>0.06</td></tr><tr><td colspan=\\\"2\\\"> G carrier</td><td>31 (17.1)</td><td>11 (19.6)</td><td>3 (8.6)</td><td>0.67</td><td>[EMPTY_CELL]</td><td>9 (11.1)</td><td>8 (13.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">MMP-9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> A carrier</td><td>78 (42.6)</td><td>19 (33.3)</td><td>15 (41.7)</td><td>0.21</td><td>0.92</td><td>25 (30.5)</td><td>22 (36.1)</td><td>[EMPTY_CELL]</td><td>0.48</td><td>0.14</td></tr><tr><td colspan=\\\"2\\\"> G/G</td><td>105 (57.4)</td><td>38 (66.7)</td><td>21 (58.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>57 (69.5)</td><td>39 (63.9)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TIMP-1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>♀ T carrier</td><td>♂ T</td><td>148 (80.9)</td><td>41 (73.2)</td><td>29 (80.6)</td><td>0.22</td><td>0.97</td><td>46 (56.8)</td><td>[EMPTY_CELL]</td><td>26 (51.0)</td><td>0.48</td><td>0.51</td></tr><tr><td> C/C</td><td>C</td><td>35 (19.1)</td><td>15 (26.8)</td><td>7 (19.4)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>35 (43.2)</td><td>[EMPTY_CELL]</td><td>25 (49.0)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">TIMP-2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> C carrier</td><td>54 (30.2)</td><td>17 (32.1)</td><td>10 (28.6)</td><td>0.79</td><td>0.85</td><td>27 (33.3)</td><td>20 (32.3)</td><td>[EMPTY_CELL]</td><td>0.89</td><td>0.34</td></tr><tr><td colspan=\\\"2\\\"> G/G</td><td>125 (69.8)</td><td>36 (67.9)</td><td>25 (71.4)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>54 (66.7)</td><td>42 (67.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Genotype</b>\", \"bbox\": [1, 4, 36, 13]}, {\"cell\": \"<b>Female</b>\", \"bbox\": [171, 4, 198, 13]}, {\"cell\": \"<b>Male</b>\", \"bbox\": [377, 4, 396, 13]}, {\"cell\": \"<b>N (%)</b>\", \"bbox\": [0, 17, 22, 27]}, {\"cell\": \"<b>Gastritis</b>\", \"bbox\": [91, 17, 122, 27]}, {\"cell\": \"<b>DU</b>\", \"bbox\": [148, 17, 160, 27]}, {\"cell\": \"<b>GU</b>\", \"bbox\": [193, 17, 206, 27]}, {\"cell\": \"<b><i>P </i><sup><i>a</i></sup></b>\", \"bbox\": [233, 16, 245, 25]}, {\"cell\": \"<b><i>P </i><sup><i>b</i></sup></b>\", \"bbox\": [265, 16, 277, 25]}, {\"cell\": \"<b>Gastritis</b>\", \"bbox\": [295, 17, 325, 27]}, {\"cell\": \"<b>DU</b>\", \"bbox\": [349, 17, 362, 27]}, {\"cell\": \"<b>GU</b>\", \"bbox\": [395, 17, 407, 27]}, {\"cell\": \"<b><i>P </i><sup><i>a</i></sup></b>\", \"bbox\": [434, 16, 446, 25]}, {\"cell\": \"<b><i>P </i><sup><i>b</i></sup></b>\", \"bbox\": [465, 16, 477, 25]}, {\"cell\": \"MMP-3\", \"bbox\": [1, 31, 25, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 5A carrier\", \"bbox\": [15, 43, 48, 51]}, {\"cell\": \"46 (25.1)\", \"bbox\": [92, 43, 121, 51]}, {\"cell\": \"7 (12.3)\", \"bbox\": [141, 43, 167, 51]}, {\"cell\": \"8 (22.2)\", \"bbox\": [187, 43, 212, 51]}, {\"cell\": \"<b>0.04</b>\", \"bbox\": [231, 42, 247, 52]}, {\"cell\": \"0.71\", \"bbox\": [263, 43, 278, 51]}, {\"cell\": \"28 (34.1)\", \"bbox\": [295, 43, 324, 51]}, {\"cell\": \"15 (24.6)\", \"bbox\": [341, 43, 370, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 43, 416, 51]}, {\"cell\": \"0.22\", \"bbox\": [432, 43, 447, 51]}, {\"cell\": \"0.12\", \"bbox\": [463, 43, 478, 51]}, {\"cell\": \" 6A/6<sup>a</sup>\", \"bbox\": [15, 53, 35, 63]}, {\"cell\": \"137 (74.9)\", \"bbox\": [90, 54, 123, 63]}, {\"cell\": \"50 (87.7)\", \"bbox\": [139, 54, 169, 63]}, {\"cell\": \"28 (77.8)\", \"bbox\": [185, 54, 214, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"54 (65.9)\", \"bbox\": [295, 54, 324, 63]}, {\"cell\": \"46 (75.4)\", \"bbox\": [341, 54, 370, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 54, 416, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MMP-7\", \"bbox\": [1, 66, 25, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A/A\", \"bbox\": [15, 78, 29, 87]}, {\"cell\": \"150 (82.9)\", \"bbox\": [90, 78, 123, 87]}, {\"cell\": \"45 (80.4)\", \"bbox\": [139, 78, 169, 87]}, {\"cell\": \"32 (91.4)\", \"bbox\": [185, 78, 214, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.31\", \"bbox\": [263, 78, 278, 87]}, {\"cell\": \"72 (88.9)\", \"bbox\": [295, 78, 324, 87]}, {\"cell\": \"52 (86.7)\", \"bbox\": [341, 78, 370, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 78, 416, 87]}, {\"cell\": \"0.69\", \"bbox\": [432, 78, 447, 87]}, {\"cell\": \"0.06\", \"bbox\": [463, 78, 478, 87]}, {\"cell\": \" G carrier\", \"bbox\": [15, 90, 44, 99]}, {\"cell\": \"31 (17.1)\", \"bbox\": [92, 90, 121, 99]}, {\"cell\": \"11 (19.6)\", \"bbox\": [139, 90, 169, 99]}, {\"cell\": \"3 (8.6)\", \"bbox\": [189, 90, 210, 99]}, {\"cell\": \"0.67\", \"bbox\": [231, 90, 246, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9 (11.1)\", \"bbox\": [297, 90, 322, 99]}, {\"cell\": \"8 (13.3)\", \"bbox\": [343, 90, 368, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 90, 416, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MMP-9\", \"bbox\": [1, 102, 25, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A carrier\", \"bbox\": [15, 114, 44, 123]}, {\"cell\": \"78 (42.6)\", \"bbox\": [92, 114, 121, 123]}, {\"cell\": \"19 (33.3)\", \"bbox\": [139, 114, 169, 123]}, {\"cell\": \"15 (41.7)\", \"bbox\": [185, 114, 214, 123]}, {\"cell\": \"0.21\", \"bbox\": [231, 114, 246, 123]}, {\"cell\": \"0.92\", \"bbox\": [263, 114, 278, 123]}, {\"cell\": \"25 (30.5)\", \"bbox\": [295, 114, 324, 123]}, {\"cell\": \"22 (36.1)\", \"bbox\": [341, 114, 370, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 114, 416, 123]}, {\"cell\": \"0.48\", \"bbox\": [432, 114, 447, 123]}, {\"cell\": \"0.14\", \"bbox\": [463, 114, 478, 123]}, {\"cell\": \" G/G\", \"bbox\": [15, 126, 30, 135]}, {\"cell\": \"105 (57.4)\", \"bbox\": [90, 126, 123, 135]}, {\"cell\": \"38 (66.7)\", \"bbox\": [139, 126, 169, 135]}, {\"cell\": \"21 (58.3)\", \"bbox\": [185, 126, 214, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"57 (69.5)\", \"bbox\": [295, 126, 324, 135]}, {\"cell\": \"39 (63.9)\", \"bbox\": [341, 126, 370, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 126, 416, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TIMP-1\", \"bbox\": [1, 138, 24, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"♀ T carrier\", \"bbox\": [1, 150, 37, 159]}, {\"cell\": \"♂ T\", \"bbox\": [53, 150, 67, 159]}, {\"cell\": \"148 (80.9)\", \"bbox\": [90, 150, 123, 159]}, {\"cell\": \"41 (73.2)\", \"bbox\": [139, 150, 169, 159]}, {\"cell\": \"29 (80.6)\", \"bbox\": [185, 150, 214, 159]}, {\"cell\": \"0.22\", \"bbox\": [231, 150, 246, 159]}, {\"cell\": \"0.97\", \"bbox\": [263, 150, 278, 159]}, {\"cell\": \"46 (56.8)\", \"bbox\": [295, 150, 324, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 150, 370, 159]}, {\"cell\": \"26 (51.0)\", \"bbox\": [387, 150, 416, 159]}, {\"cell\": \"0.48\", \"bbox\": [432, 150, 447, 159]}, {\"cell\": \"0.51\", \"bbox\": [463, 150, 478, 159]}, {\"cell\": \" C/C\", \"bbox\": [15, 162, 29, 171]}, {\"cell\": \"C\", \"bbox\": [63, 162, 70, 171]}, {\"cell\": \"35 (19.1)\", \"bbox\": [92, 162, 121, 171]}, {\"cell\": \"15 (26.8)\", \"bbox\": [139, 162, 169, 171]}, {\"cell\": \"7 (19.4)\", \"bbox\": [187, 162, 212, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"35 (43.2)\", \"bbox\": [295, 162, 324, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 162, 370, 171]}, {\"cell\": \"25 (49.0)\", \"bbox\": [387, 162, 416, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TIMP-2\", \"bbox\": [1, 174, 24, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" C carrier\", \"bbox\": [15, 186, 44, 195]}, {\"cell\": \"54 (30.2)\", \"bbox\": [92, 186, 121, 195]}, {\"cell\": \"17 (32.1)\", \"bbox\": [139, 186, 169, 195]}, {\"cell\": \"10 (28.6)\", \"bbox\": [185, 186, 214, 195]}, {\"cell\": \"0.79\", \"bbox\": [231, 186, 246, 195]}, {\"cell\": \"0.85\", \"bbox\": [263, 186, 278, 195]}, {\"cell\": \"27 (33.3)\", \"bbox\": [295, 186, 324, 195]}, {\"cell\": \"20 (32.3)\", \"bbox\": [341, 186, 370, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 186, 416, 195]}, {\"cell\": \"0.89\", \"bbox\": [432, 186, 447, 195]}, {\"cell\": \"0.34\", \"bbox\": [463, 186, 478, 195]}, {\"cell\": \" G/G\", \"bbox\": [15, 198, 30, 207]}, {\"cell\": \"125 (69.8)\", \"bbox\": [90, 198, 123, 207]}, {\"cell\": \"36 (67.9)\", \"bbox\": [139, 198, 169, 207]}, {\"cell\": \"25 (71.4)\", \"bbox\": [185, 198, 214, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"54 (66.7)\", \"bbox\": [295, 198, 324, 207]}, {\"cell\": \"42 (67.7)\", \"bbox\": [341, 198, 370, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 198, 416, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2928200_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}33{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Inclusion criteria</b></td><td><b>Exclusion criteria</b></td></tr></thead><tbody><tr><td><i>Donors </i></td><td>[EMPTY_CELL]</td></tr><tr><td>>60 years old or between 50 and 59 years who fulfilled at least 2 of the following criteria.(i) History of hypertension(ii) Stroke as cause of death(iii) Preablation sCr >1.5 mg/dL</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Recipients </i></td><td>[EMPTY_CELL]</td></tr><tr><td>(i) First disease donor kidney transplant(ii) >18 years(iii) Signed informed consent(iv) Panel reactive antibody < 20%</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Inclusion criteria</b>\", \"bbox\": [2, 4, 66, 15]}, {\"cell\": \"<b>Exclusion criteria</b>\", \"bbox\": [297, 4, 362, 15]}, {\"cell\": \"<i>Donors </i>\", \"bbox\": [2, 18, 30, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 18, 325, 29]}, {\"cell\": \">60 years old or between 50 and 59 years who fulfilled at least 2 of the following criteria.(i) History of hypertension(ii) Stroke as cause of death(iii) Preablation sCr >1.5 mg/dL\", \"bbox\": [2, 27, 254, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 41, 424, 73]}, {\"cell\": \"<i>Recipients </i>\", \"bbox\": [2, 86, 40, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 86, 335, 96]}, {\"cell\": \"(i) First disease donor kidney transplant(ii) >18 years(iii) Signed informed consent(iv) Panel reactive antibody < 20%\", \"bbox\": [2, 98, 148, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 98, 480, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4052172_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}34{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Males</b></td><td colspan=\\\"4\\\"><b>Females</b></td></tr><tr><td><b>M sq.</b></td><td><b>F</b></td><td><b>p</b></td><td><b>η<sup>2</sup></b></td><td><b>M sq.</b></td><td><b>F</b></td><td><b>p</b></td><td><b>η<sup>2</sup></b></td></tr></thead><tbody><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1516.0</td><td>103.2</td><td><.001</td><td>.057</td><td>1262.6</td><td>52.4</td><td><.001</td><td>.018</td></tr><tr><td>[EMPTY_CELL]</td><td>343.8</td><td>23.4</td><td><.001</td><td>.013</td><td>1153.6</td><td>47.9</td><td><.001</td><td>.017</td></tr><tr><td>[EMPTY_CELL]</td><td>117.1</td><td>8.0</td><td>.005</td><td>.005</td><td>207.0</td><td>8.6</td><td>.003</td><td>.003</td></tr><tr><td>[EMPTY_CELL]</td><td>774.5</td><td>52.7</td><td><.001</td><td>.084</td><td>1382.9</td><td>57.4</td><td><.001</td><td>.058</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1454.0</td><td>124.1</td><td><.001</td><td>.068</td><td>1141.0</td><td>61.7</td><td><.001</td><td>.021</td></tr><tr><td>[EMPTY_CELL]</td><td>287.3</td><td>24.5</td><td><.001</td><td>.014</td><td>530.9</td><td>28.7</td><td><.001</td><td>.010</td></tr><tr><td>[EMPTY_CELL]</td><td>11.4</td><td>1.0</td><td>.323</td><td>.001</td><td>16.9</td><td>0.9</td><td>.339</td><td>.000</td></tr><tr><td>[EMPTY_CELL]</td><td>5019.4</td><td>428.5</td><td><.001</td><td>.200</td><td>15859.9</td><td>857.9</td><td><.001</td><td>.234</td></tr><tr><td>[EMPTY_CELL]</td><td>1820.3</td><td>155.4</td><td><.001</td><td>.266</td><td>4998.7</td><td>270.4</td><td><.001</td><td>.278</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>530.3</td><td>44.5</td><td><.001</td><td>.025</td><td>32.3</td><td>1.7</td><td>.191</td><td>.001</td></tr><tr><td>[EMPTY_CELL]</td><td>58.0</td><td>4.9</td><td>.027</td><td>.003</td><td>92.2</td><td>4.9</td><td>.027</td><td>.002</td></tr><tr><td>[EMPTY_CELL]</td><td>20.9</td><td>1.8</td><td>.186</td><td>.001</td><td>94,0</td><td>5.0</td><td>.026</td><td>.002</td></tr><tr><td>[EMPTY_CELL]</td><td>4649.7</td><td>390.5</td><td><.001</td><td>.186</td><td>14566.0</td><td>770.0</td><td><.001</td><td>.216</td></tr><tr><td>[EMPTY_CELL]</td><td>1727.7</td><td>145.1</td><td><.001</td><td>.254</td><td>4675.0</td><td>247.1</td><td><.001</td><td>.261</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>796.9</td><td>72.0</td><td><.001</td><td>.040</td><td>295.6</td><td>16.9</td><td><.001</td><td>.006</td></tr><tr><td>[EMPTY_CELL]</td><td>121.5</td><td>11.0</td><td>.001</td><td>.006</td><td>175.4</td><td>10.0</td><td>.002</td><td>.004</td></tr><tr><td>[EMPTY_CELL]</td><td>6.1</td><td>0.6</td><td>.457</td><td>.000</td><td>25.2</td><td>1.4</td><td>.230</td><td>.001</td></tr><tr><td>[EMPTY_CELL]</td><td>1068.8</td><td>96.5</td><td><.001</td><td>.054</td><td>2547.6</td><td>145.4</td><td><.001</td><td>.049</td></tr><tr><td>[EMPTY_CELL]</td><td>1430.9</td><td>129.2</td><td><.001</td><td>.070</td><td>3916.3</td><td>223.5</td><td><.001</td><td>.074</td></tr><tr><td>[EMPTY_CELL]</td><td>1668.4</td><td>150.6</td><td><.001</td><td>.306</td><td>4523.3</td><td>258.1</td><td><.001</td><td>.316</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Males</b>\", \"bbox\": [100, 4, 122, 13]}, {\"cell\": \"<b>Females</b>\", \"bbox\": [179, 4, 209, 13]}, {\"cell\": \"<b>M sq.</b>\", \"bbox\": [70, 17, 91, 26]}, {\"cell\": \"<b>F</b>\", \"bbox\": [94, 17, 100, 26]}, {\"cell\": \"<b>p</b>\", \"bbox\": [114, 17, 121, 26]}, {\"cell\": \"<b>η<sup>2</sup></b>\", \"bbox\": [136, 15, 146, 26]}, {\"cell\": \"<b>M sq.</b>\", \"bbox\": [152, 17, 173, 26]}, {\"cell\": \"<b>F</b>\", \"bbox\": [180, 17, 186, 26]}, {\"cell\": \"<b>p</b>\", \"bbox\": [199, 17, 206, 26]}, {\"cell\": \"<b>η<sup>2</sup></b>\", \"bbox\": [222, 15, 231, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 27, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 43, 19, 53]}, {\"cell\": \"1516.0\", \"bbox\": [70, 43, 93, 53]}, {\"cell\": \"103.2\", \"bbox\": [94, 43, 113, 53]}, {\"cell\": \"<.001\", \"bbox\": [114, 43, 135, 53]}, {\"cell\": \".057\", \"bbox\": [136, 43, 151, 53]}, {\"cell\": \"1262.6\", \"bbox\": [152, 43, 175, 53]}, {\"cell\": \"52.4\", \"bbox\": [180, 43, 194, 53]}, {\"cell\": \"<.001\", \"bbox\": [199, 43, 220, 53]}, {\"cell\": \".018\", \"bbox\": [222, 43, 236, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 52, 60, 62]}, {\"cell\": \"343.8\", \"bbox\": [70, 52, 89, 62]}, {\"cell\": \"23.4\", \"bbox\": [94, 52, 109, 62]}, {\"cell\": \"<.001\", \"bbox\": [114, 52, 135, 62]}, {\"cell\": \".013\", \"bbox\": [136, 52, 151, 62]}, {\"cell\": \"1153.6\", \"bbox\": [152, 52, 175, 62]}, {\"cell\": \"47.9\", \"bbox\": [180, 52, 194, 62]}, {\"cell\": \"<.001\", \"bbox\": [199, 52, 220, 62]}, {\"cell\": \".017\", \"bbox\": [222, 52, 236, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 61, 69, 71]}, {\"cell\": \"117.1\", \"bbox\": [70, 61, 89, 71]}, {\"cell\": \"8.0\", \"bbox\": [94, 61, 105, 71]}, {\"cell\": \".005\", \"bbox\": [114, 61, 129, 71]}, {\"cell\": \".005\", \"bbox\": [136, 61, 151, 71]}, {\"cell\": \"207.0\", \"bbox\": [152, 61, 171, 71]}, {\"cell\": \"8.6\", \"bbox\": [180, 61, 191, 71]}, {\"cell\": \".003\", \"bbox\": [199, 61, 214, 71]}, {\"cell\": \".003\", \"bbox\": [222, 61, 236, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 70, 27, 80]}, {\"cell\": \"774.5\", \"bbox\": [70, 70, 89, 80]}, {\"cell\": \"52.7\", \"bbox\": [94, 70, 109, 80]}, {\"cell\": \"<.001\", \"bbox\": [114, 70, 135, 80]}, {\"cell\": \".084\", \"bbox\": [136, 70, 151, 80]}, {\"cell\": \"1382.9\", \"bbox\": [152, 70, 175, 80]}, {\"cell\": \"57.4\", \"bbox\": [180, 70, 194, 80]}, {\"cell\": \"<.001\", \"bbox\": [199, 70, 220, 80]}, {\"cell\": \".058\", \"bbox\": [222, 70, 236, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 84, 27, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 97, 19, 106]}, {\"cell\": \"1454.0\", \"bbox\": [70, 97, 93, 106]}, {\"cell\": \"124.1\", \"bbox\": [94, 97, 113, 106]}, {\"cell\": \"<.001\", \"bbox\": [114, 97, 135, 106]}, {\"cell\": \".068\", \"bbox\": [136, 97, 151, 106]}, {\"cell\": \"1141.0\", \"bbox\": [152, 97, 175, 106]}, {\"cell\": \"61.7\", \"bbox\": [180, 97, 194, 106]}, {\"cell\": \"<.001\", \"bbox\": [199, 97, 220, 106]}, {\"cell\": \".021\", \"bbox\": [222, 97, 236, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 106, 60, 115]}, {\"cell\": \"287.3\", \"bbox\": [70, 106, 89, 115]}, {\"cell\": \"24.5\", \"bbox\": [94, 106, 109, 115]}, {\"cell\": \"<.001\", \"bbox\": [114, 106, 135, 115]}, {\"cell\": \".014\", \"bbox\": [136, 106, 151, 115]}, {\"cell\": \"530.9\", \"bbox\": [152, 106, 171, 115]}, {\"cell\": \"28.7\", \"bbox\": [180, 106, 194, 115]}, {\"cell\": \"<.001\", \"bbox\": [199, 106, 220, 115]}, {\"cell\": \".010\", \"bbox\": [222, 106, 236, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 115, 69, 124]}, {\"cell\": \"11.4\", \"bbox\": [70, 115, 85, 124]}, {\"cell\": \"1.0\", \"bbox\": [94, 115, 105, 124]}, {\"cell\": \".323\", \"bbox\": [114, 115, 129, 124]}, {\"cell\": \".001\", \"bbox\": [136, 115, 151, 124]}, {\"cell\": \"16.9\", \"bbox\": [152, 115, 167, 124]}, {\"cell\": \"0.9\", \"bbox\": [180, 115, 191, 124]}, {\"cell\": \".339\", \"bbox\": [199, 115, 214, 124]}, {\"cell\": \".000\", \"bbox\": [222, 115, 236, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 124, 30, 133]}, {\"cell\": \"5019.4\", \"bbox\": [70, 124, 93, 133]}, {\"cell\": \"428.5\", \"bbox\": [94, 124, 113, 133]}, {\"cell\": \"<.001\", \"bbox\": [114, 124, 135, 133]}, {\"cell\": \".200\", \"bbox\": [136, 124, 151, 133]}, {\"cell\": \"15859.9\", \"bbox\": [152, 124, 178, 133]}, {\"cell\": \"857.9\", \"bbox\": [180, 124, 198, 133]}, {\"cell\": \"<.001\", \"bbox\": [199, 124, 220, 133]}, {\"cell\": \".234\", \"bbox\": [222, 124, 236, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 133, 27, 142]}, {\"cell\": \"1820.3\", \"bbox\": [70, 133, 93, 142]}, {\"cell\": \"155.4\", \"bbox\": [94, 133, 113, 142]}, {\"cell\": \"<.001\", \"bbox\": [114, 133, 135, 142]}, {\"cell\": \".266\", \"bbox\": [136, 133, 151, 142]}, {\"cell\": \"4998.7\", \"bbox\": [152, 133, 175, 142]}, {\"cell\": \"270.4\", \"bbox\": [180, 133, 198, 142]}, {\"cell\": \"<.001\", \"bbox\": [199, 133, 220, 142]}, {\"cell\": \".278\", \"bbox\": [222, 133, 236, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 27, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 159, 19, 168]}, {\"cell\": \"530.3\", \"bbox\": [70, 159, 89, 168]}, {\"cell\": \"44.5\", \"bbox\": [94, 159, 109, 168]}, {\"cell\": \"<.001\", \"bbox\": [114, 159, 135, 168]}, {\"cell\": \".025\", \"bbox\": [136, 159, 151, 168]}, {\"cell\": \"32.3\", \"bbox\": [152, 159, 167, 168]}, {\"cell\": \"1.7\", \"bbox\": [180, 159, 191, 168]}, {\"cell\": \".191\", \"bbox\": [199, 159, 214, 168]}, {\"cell\": \".001\", \"bbox\": [222, 159, 236, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 168, 60, 177]}, {\"cell\": \"58.0\", \"bbox\": [70, 168, 85, 177]}, {\"cell\": \"4.9\", \"bbox\": [94, 168, 105, 177]}, {\"cell\": \".027\", \"bbox\": [114, 168, 129, 177]}, {\"cell\": \".003\", \"bbox\": [136, 168, 151, 177]}, {\"cell\": \"92.2\", \"bbox\": [152, 168, 167, 177]}, {\"cell\": \"4.9\", \"bbox\": [180, 168, 191, 177]}, {\"cell\": \".027\", \"bbox\": [199, 168, 214, 177]}, {\"cell\": \".002\", \"bbox\": [222, 168, 236, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 177, 69, 186]}, {\"cell\": \"20.9\", \"bbox\": [70, 177, 85, 186]}, {\"cell\": \"1.8\", \"bbox\": [94, 177, 105, 186]}, {\"cell\": \".186\", \"bbox\": [114, 177, 129, 186]}, {\"cell\": \".001\", \"bbox\": [136, 177, 151, 186]}, {\"cell\": \"94,0\", \"bbox\": [152, 177, 167, 186]}, {\"cell\": \"5.0\", \"bbox\": [180, 177, 191, 186]}, {\"cell\": \".026\", \"bbox\": [199, 177, 214, 186]}, {\"cell\": \".002\", \"bbox\": [222, 177, 236, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 186, 42, 195]}, {\"cell\": \"4649.7\", \"bbox\": [70, 186, 93, 195]}, {\"cell\": \"390.5\", \"bbox\": [94, 186, 113, 195]}, {\"cell\": \"<.001\", \"bbox\": [114, 186, 135, 195]}, {\"cell\": \".186\", \"bbox\": [136, 186, 151, 195]}, {\"cell\": \"14566.0\", \"bbox\": [152, 186, 178, 195]}, {\"cell\": \"770.0\", \"bbox\": [180, 186, 198, 195]}, {\"cell\": \"<.001\", \"bbox\": [199, 186, 220, 195]}, {\"cell\": \".216\", \"bbox\": [222, 186, 236, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 195, 27, 204]}, {\"cell\": \"1727.7\", \"bbox\": [70, 195, 93, 204]}, {\"cell\": \"145.1\", \"bbox\": [94, 195, 113, 204]}, {\"cell\": \"<.001\", \"bbox\": [114, 195, 135, 204]}, {\"cell\": \".254\", \"bbox\": [136, 195, 151, 204]}, {\"cell\": \"4675.0\", \"bbox\": [152, 195, 175, 204]}, {\"cell\": \"247.1\", \"bbox\": [180, 195, 198, 204]}, {\"cell\": \"<.001\", \"bbox\": [199, 195, 220, 204]}, {\"cell\": \".261\", \"bbox\": [222, 195, 236, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 208, 27, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 221, 19, 231]}, {\"cell\": \"796.9\", \"bbox\": [70, 221, 89, 231]}, {\"cell\": \"72.0\", \"bbox\": [94, 221, 109, 231]}, {\"cell\": \"<.001\", \"bbox\": [114, 221, 135, 231]}, {\"cell\": \".040\", \"bbox\": [136, 221, 151, 231]}, {\"cell\": \"295.6\", \"bbox\": [152, 221, 171, 231]}, {\"cell\": \"16.9\", \"bbox\": [180, 221, 194, 231]}, {\"cell\": \"<.001\", \"bbox\": [199, 221, 220, 231]}, {\"cell\": \".006\", \"bbox\": [222, 221, 236, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 230, 60, 240]}, {\"cell\": \"121.5\", \"bbox\": [70, 230, 89, 240]}, {\"cell\": \"11.0\", \"bbox\": [94, 230, 109, 240]}, {\"cell\": \".001\", \"bbox\": [114, 230, 129, 240]}, {\"cell\": \".006\", \"bbox\": [136, 230, 151, 240]}, {\"cell\": \"175.4\", \"bbox\": [152, 230, 171, 240]}, {\"cell\": \"10.0\", \"bbox\": [180, 230, 194, 240]}, {\"cell\": \".002\", \"bbox\": [199, 230, 214, 240]}, {\"cell\": \".004\", \"bbox\": [222, 230, 236, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 239, 69, 249]}, {\"cell\": \"6.1\", \"bbox\": [70, 239, 81, 249]}, {\"cell\": \"0.6\", \"bbox\": [94, 239, 105, 249]}, {\"cell\": \".457\", \"bbox\": [114, 239, 129, 249]}, {\"cell\": \".000\", \"bbox\": [136, 239, 151, 249]}, {\"cell\": \"25.2\", \"bbox\": [152, 239, 167, 249]}, {\"cell\": \"1.4\", \"bbox\": [180, 239, 191, 249]}, {\"cell\": \".230\", \"bbox\": [199, 239, 214, 249]}, {\"cell\": \".001\", \"bbox\": [222, 239, 236, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 248, 42, 258]}, {\"cell\": \"1068.8\", \"bbox\": [70, 248, 93, 258]}, {\"cell\": \"96.5\", \"bbox\": [94, 248, 109, 258]}, {\"cell\": \"<.001\", \"bbox\": [114, 248, 135, 258]}, {\"cell\": \".054\", \"bbox\": [136, 248, 151, 258]}, {\"cell\": \"2547.6\", \"bbox\": [152, 248, 175, 258]}, {\"cell\": \"145.4\", \"bbox\": [180, 248, 198, 258]}, {\"cell\": \"<.001\", \"bbox\": [199, 248, 220, 258]}, {\"cell\": \".049\", \"bbox\": [222, 248, 236, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 257, 30, 267]}, {\"cell\": \"1430.9\", \"bbox\": [70, 257, 93, 267]}, {\"cell\": \"129.2\", \"bbox\": [94, 257, 113, 267]}, {\"cell\": \"<.001\", \"bbox\": [114, 257, 135, 267]}, {\"cell\": \".070\", \"bbox\": [136, 257, 151, 267]}, {\"cell\": \"3916.3\", \"bbox\": [152, 257, 175, 267]}, {\"cell\": \"223.5\", \"bbox\": [180, 257, 198, 267]}, {\"cell\": \"<.001\", \"bbox\": [199, 257, 220, 267]}, {\"cell\": \".074\", \"bbox\": [222, 257, 236, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 266, 27, 276]}, {\"cell\": \"1668.4\", \"bbox\": [70, 266, 93, 276]}, {\"cell\": \"150.6\", \"bbox\": [94, 266, 113, 276]}, {\"cell\": \"<.001\", \"bbox\": [114, 266, 135, 276]}, {\"cell\": \".306\", \"bbox\": [136, 266, 151, 276]}, {\"cell\": \"4523.3\", \"bbox\": [152, 266, 175, 276]}, {\"cell\": \"258.1\", \"bbox\": [180, 266, 198, 276]}, {\"cell\": \"<.001\", \"bbox\": [199, 266, 220, 276]}, {\"cell\": \".316\", \"bbox\": [222, 266, 236, 276]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3426491_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}35{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Demographics and habits</b></td><td><b>Specifics</b></td><td><b>Hut</b></td><td><b>House</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Participant gender</td><td>Male</td><td>[EMPTY_CELL]</td><td>10 % (2/20)</td></tr><tr><td>Female</td><td>75 % (15/20)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">Age range</td><td><20</td><td>[EMPTY_CELL]</td><td>N/A</td></tr><tr><td>21–40</td><td>35 % (7/20)</td><td>[EMPTY_CELL]</td></tr><tr><td>41–60</td><td>40 % (8/20)</td><td>[EMPTY_CELL]</td></tr><tr><td>61–80</td><td>15 % (3/20)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">Number of people that slept in study area</td><td>1</td><td>[EMPTY_CELL]</td><td>20 % (4/20)</td></tr><tr><td>2</td><td>40 % (8/20)</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>35 % (7/20)</td><td>[EMPTY_CELL]</td></tr><tr><td>More than 3</td><td>15 % (3/20)</td><td>[EMPTY_CELL]</td></tr><tr><td>Children in study area</td><td><13 years of age</td><td>[EMPTY_CELL]</td><td>50 % (10/20)</td></tr><tr><td rowspan=\\\"2\\\">Purpose of study area</td><td>Only slept in</td><td>[EMPTY_CELL]</td><td>95 % (19/20)</td></tr><tr><td>To cook and sleep in</td><td>15 % (2/20)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Bed time</td><td>19:00–20:00</td><td>[EMPTY_CELL]</td><td>10 % (2/20)</td></tr><tr><td>20:00–21:00</td><td>45 % (9/20)</td><td>[EMPTY_CELL]</td></tr><tr><td>After 21:00</td><td>30 % (6/20)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">Wake up time</td><td>Before 05:00</td><td>[EMPTY_CELL]</td><td>25 % (5/20)</td></tr><tr><td>05:00 and 06:00</td><td>40 % (8/20)</td><td>[EMPTY_CELL]</td></tr><tr><td>06:00 and 07:00</td><td>15 % (3/20)</td><td>[EMPTY_CELL]</td></tr><tr><td>After 07:00</td><td>15 % (3/20)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Demographics and habits</b>\", \"bbox\": [1, 4, 91, 14]}, {\"cell\": \"<b>Specifics</b>\", \"bbox\": [201, 4, 233, 14]}, {\"cell\": \"<b>Hut</b>\", \"bbox\": [334, 4, 349, 14]}, {\"cell\": \"<b>House</b>\", \"bbox\": [442, 4, 466, 14]}, {\"cell\": \"Participant gender\", \"bbox\": [1, 22, 62, 32]}, {\"cell\": \"Male\", \"bbox\": [201, 22, 219, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 22, 372, 32]}, {\"cell\": \"10 % (2/20)\", \"bbox\": [442, 22, 480, 32]}, {\"cell\": \"Female\", \"bbox\": [201, 34, 226, 44]}, {\"cell\": \"75 % (15/20)\", \"bbox\": [334, 34, 376, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 34, 484, 44]}, {\"cell\": \"Age range\", \"bbox\": [1, 46, 36, 56]}, {\"cell\": \"<20\", \"bbox\": [201, 46, 216, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 46, 372, 56]}, {\"cell\": \"N/A\", \"bbox\": [442, 46, 457, 56]}, {\"cell\": \"21–40\", \"bbox\": [201, 59, 223, 68]}, {\"cell\": \"35 % (7/20)\", \"bbox\": [334, 59, 372, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 59, 484, 68]}, {\"cell\": \"41–60\", \"bbox\": [201, 71, 223, 80]}, {\"cell\": \"40 % (8/20)\", \"bbox\": [334, 71, 372, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 71, 480, 80]}, {\"cell\": \"61–80\", \"bbox\": [201, 83, 223, 92]}, {\"cell\": \"15 % (3/20)\", \"bbox\": [334, 83, 372, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 83, 480, 92]}, {\"cell\": \"Number of people that slept in study area\", \"bbox\": [1, 95, 136, 104]}, {\"cell\": \"1\", \"bbox\": [201, 95, 207, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 95, 372, 104]}, {\"cell\": \"20 % (4/20)\", \"bbox\": [442, 95, 480, 104]}, {\"cell\": \"2\", \"bbox\": [201, 107, 207, 116]}, {\"cell\": \"40 % (8/20)\", \"bbox\": [334, 107, 372, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 107, 480, 116]}, {\"cell\": \"3\", \"bbox\": [201, 119, 207, 129]}, {\"cell\": \"35 % (7/20)\", \"bbox\": [334, 119, 372, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 119, 480, 129]}, {\"cell\": \"More than 3\", \"bbox\": [201, 131, 242, 141]}, {\"cell\": \"15 % (3/20)\", \"bbox\": [334, 131, 372, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 131, 480, 141]}, {\"cell\": \"Children in study area\", \"bbox\": [1, 143, 72, 153]}, {\"cell\": \"<13 years of age\", \"bbox\": [201, 143, 256, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 143, 376, 153]}, {\"cell\": \"50 % (10/20)\", \"bbox\": [442, 143, 484, 153]}, {\"cell\": \"Purpose of study area\", \"bbox\": [1, 155, 71, 165]}, {\"cell\": \"Only slept in\", \"bbox\": [201, 155, 243, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 155, 376, 165]}, {\"cell\": \"95 % (19/20)\", \"bbox\": [442, 155, 484, 165]}, {\"cell\": \"To cook and sleep in\", \"bbox\": [201, 167, 268, 177]}, {\"cell\": \"15 % (2/20)\", \"bbox\": [334, 167, 372, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 167, 476, 177]}, {\"cell\": \"Bed time\", \"bbox\": [1, 180, 31, 189]}, {\"cell\": \"19:00–20:00\", \"bbox\": [201, 180, 241, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 180, 372, 189]}, {\"cell\": \"10 % (2/20)\", \"bbox\": [442, 180, 480, 189]}, {\"cell\": \"20:00–21:00\", \"bbox\": [201, 192, 241, 201]}, {\"cell\": \"45 % (9/20)\", \"bbox\": [334, 192, 372, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 192, 480, 201]}, {\"cell\": \"After 21:00\", \"bbox\": [201, 204, 238, 213]}, {\"cell\": \"30 % (6/20)\", \"bbox\": [334, 204, 372, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 204, 484, 213]}, {\"cell\": \"Wake up time\", \"bbox\": [1, 216, 47, 225]}, {\"cell\": \"Before 05:00\", \"bbox\": [201, 216, 243, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 216, 372, 225]}, {\"cell\": \"25 % (5/20)\", \"bbox\": [442, 216, 480, 225]}, {\"cell\": \"05:00 and 06:00\", \"bbox\": [201, 228, 253, 237]}, {\"cell\": \"40 % (8/20)\", \"bbox\": [334, 228, 372, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 228, 480, 237]}, {\"cell\": \"06:00 and 07:00\", \"bbox\": [201, 240, 253, 250]}, {\"cell\": \"15 % (3/20)\", \"bbox\": [334, 240, 372, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 240, 484, 250]}, {\"cell\": \"After 07:00\", \"bbox\": [201, 252, 238, 262]}, {\"cell\": \"15 % (3/20)\", \"bbox\": [334, 252, 372, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 252, 480, 262]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4667516_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}36{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Process of care manoeuvre</b></td><td><b>Percentage of patients receiving care [95% CI]</b></td></tr></thead><tbody><tr><td><b>All</b> (n = 4931)</td><td>[EMPTY_CELL]</td></tr><tr><td> 2 Blood pressure measures</td><td>[EMPTY_CELL]</td></tr><tr><td> Lipid profile</td><td>[EMPTY_CELL]</td></tr><tr><td> Waist circumference measure</td><td>[EMPTY_CELL]</td></tr><tr><td> Dietician/weight loss program referral</td><td>[EMPTY_CELL]</td></tr><tr><td> Smoking status recorded</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Coronary Artery Disease</b> (n = 1510)</td><td>[EMPTY_CELL]</td></tr><tr><td> Fasting blood glucose</td><td>[EMPTY_CELL]</td></tr><tr><td> Medication (ACE, Angiotensin receptor blocker, beta blocker)</td><td>[EMPTY_CELL]</td></tr><tr><td> ASA</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Peripheral Vascular Disease</b> (n = 318)</td><td>[EMPTY_CELL]</td></tr><tr><td> Fasting blood glucose</td><td>[EMPTY_CELL]</td></tr><tr><td> ACE inhibitor and/or Angiotensin receptor blocker</td><td>[EMPTY_CELL]</td></tr><tr><td> Lipid lowering medication</td><td>[EMPTY_CELL]</td></tr><tr><td> ASA</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Stroke</b> (n = 636)</td><td>[EMPTY_CELL]</td></tr><tr><td> Fasting blood glucose</td><td>[EMPTY_CELL]</td></tr><tr><td> ASA</td><td>[EMPTY_CELL]</td></tr><tr><td><i>If stroke within past year (n = 71)</i></td><td>[EMPTY_CELL]</td></tr><tr><td> Echo cardiogram</td><td>[EMPTY_CELL]</td></tr><tr><td> Carotid doppler</td><td>[EMPTY_CELL]</td></tr><tr><td> CT head scan</td><td>[EMPTY_CELL]</td></tr><tr><td> EKG</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Diabetes</b> (n = 2308)</td><td>[EMPTY_CELL]</td></tr><tr><td> Two hemoglobin A1c tests</td><td>[EMPTY_CELL]</td></tr><tr><td> Glycemic control medication</td><td>[EMPTY_CELL]</td></tr><tr><td> ACR</td><td>[EMPTY_CELL]</td></tr><tr><td> eGFR</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Chronic Kidney Disease</b> (n = 916)</td><td>[EMPTY_CELL]</td></tr><tr><td> ACR</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Dyslipidemia</b> (n = 4111)</td><td>[EMPTY_CELL]</td></tr><tr><td> Lipid profile</td><td>[EMPTY_CELL]</td></tr><tr><td> Lipid lowering medication</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Hypertension</b> (n = 3793)</td><td>[EMPTY_CELL]</td></tr><tr><td> Two blood pressure readings</td><td>[EMPTY_CELL]</td></tr><tr><td> Anti-Hypertensive medication</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Smoking</b> (n = 1049)</td><td>[EMPTY_CELL]</td></tr><tr><td> Smoking cessation counselling</td><td>[EMPTY_CELL]</td></tr><tr><td> Smoking cessation program</td><td>[EMPTY_CELL]</td></tr><tr><td> Smoking cessation drug</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Process of care manoeuvre</b>\", \"bbox\": [17, 4, 113, 13]}, {\"cell\": \"<b>Percentage of patients receiving care [95% CI]</b>\", \"bbox\": [155, 4, 236, 22]}, {\"cell\": \"<b>All</b> (n = 4931)\", \"bbox\": [1, 26, 47, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2 Blood pressure measures\", \"bbox\": [4, 39, 93, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 39, 216, 49]}, {\"cell\": \" Lipid profile\", \"bbox\": [4, 52, 45, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 52, 216, 62]}, {\"cell\": \" Waist circumference measure\", \"bbox\": [4, 65, 101, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 65, 212, 75]}, {\"cell\": \" Dietician/weight loss program referral\", \"bbox\": [4, 79, 128, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 79, 216, 88]}, {\"cell\": \" Smoking status recorded\", \"bbox\": [4, 92, 86, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 92, 216, 101]}, {\"cell\": \"<b>Coronary Artery Disease</b> (n = 1510)\", \"bbox\": [1, 105, 122, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Fasting blood glucose\", \"bbox\": [4, 118, 77, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 118, 216, 128]}, {\"cell\": \" Medication (ACE, Angiotensin receptor blocker, beta blocker)\", \"bbox\": [4, 131, 104, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 131, 216, 141]}, {\"cell\": \" ASA\", \"bbox\": [4, 153, 19, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 153, 216, 163]}, {\"cell\": \"<b>Peripheral Vascular Disease</b> (n = 318)\", \"bbox\": [1, 167, 130, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Fasting blood glucose\", \"bbox\": [4, 180, 77, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 180, 216, 189]}, {\"cell\": \" ACE inhibitor and/or Angiotensin receptor blocker\", \"bbox\": [4, 193, 113, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 193, 216, 202]}, {\"cell\": \" Lipid lowering medication\", \"bbox\": [4, 215, 91, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 215, 216, 225]}, {\"cell\": \" ASA\", \"bbox\": [4, 228, 19, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 228, 216, 238]}, {\"cell\": \"<b>Stroke</b> (n = 636)\", \"bbox\": [1, 241, 56, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Fasting blood glucose\", \"bbox\": [4, 254, 77, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 254, 216, 264]}, {\"cell\": \" ASA\", \"bbox\": [4, 268, 19, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 268, 216, 277]}, {\"cell\": \"<i>If stroke within past year (n = 71)</i>\", \"bbox\": [1, 281, 106, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Echo cardiogram\", \"bbox\": [4, 294, 61, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 294, 216, 303]}, {\"cell\": \" Carotid doppler\", \"bbox\": [4, 307, 57, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 307, 216, 317]}, {\"cell\": \" CT head scan\", \"bbox\": [4, 320, 50, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 320, 216, 330]}, {\"cell\": \" EKG\", \"bbox\": [4, 333, 19, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 333, 216, 343]}, {\"cell\": \"<b>Diabetes</b> (n = 2308)\", \"bbox\": [1, 346, 68, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Two hemoglobin A1c tests\", \"bbox\": [4, 360, 93, 369]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 360, 216, 369]}, {\"cell\": \" Glycemic control medication\", \"bbox\": [4, 373, 99, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 373, 216, 382]}, {\"cell\": \" ACR\", \"bbox\": [4, 386, 20, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 386, 216, 395]}, {\"cell\": \" eGFR\", \"bbox\": [4, 399, 23, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 399, 216, 409]}, {\"cell\": \"<b>Chronic Kidney Disease</b> (n = 916)\", \"bbox\": [0, 412, 115, 422]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ACR\", \"bbox\": [4, 425, 20, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 425, 216, 435]}, {\"cell\": \"<b>Dyslipidemia</b> (n = 4111)\", \"bbox\": [0, 439, 83, 448]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Lipid profile\", \"bbox\": [4, 452, 45, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 452, 216, 461]}, {\"cell\": \" Lipid lowering medication\", \"bbox\": [4, 465, 91, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 465, 216, 474]}, {\"cell\": \"<b>Hypertension</b> (n = 3793)\", \"bbox\": [0, 478, 85, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Two blood pressure readings\", \"bbox\": [4, 491, 100, 501]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 491, 216, 501]}, {\"cell\": \" Anti-Hypertensive medication\", \"bbox\": [4, 504, 101, 514]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 504, 216, 514]}, {\"cell\": \"<b>Smoking</b> (n = 1049)\", \"bbox\": [0, 517, 68, 527]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Smoking cessation counselling\", \"bbox\": [4, 531, 105, 540]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 531, 216, 540]}, {\"cell\": \" Smoking cessation program\", \"bbox\": [4, 544, 96, 553]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 544, 212, 553]}, {\"cell\": \" Smoking cessation drug\", \"bbox\": [4, 557, 84, 566]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 557, 216, 566]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3477034_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}37{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Pt</b></td><td><b>Age (Y),gender</b></td><td><b>Location</b></td><td><b>Procedure</b></td><td><b>Material applied</b></td><td><b>Follow-upmonths</b></td><td><b>Postoperativeimaging</b></td><td><b>Restenosis</b></td><td><b>Immuno-suppression</b></td><td><b>Author (’Y)</b></td></tr></thead><tbody><tr><td>1</td><td>60 F</td><td>Bifurcation</td><td>[EMPTY_CELL]</td><td>Pericardium</td><td>6</td><td>AG</td><td>Yes</td><td>Yes*</td><td>Chauvaud (’87)</td></tr><tr><td>2</td><td>53 M</td><td>Bifurcation</td><td>[EMPTY_CELL]</td><td>Pericardium</td><td>6</td><td>AG</td><td>Yes</td><td>-</td><td>Dietl (’88)</td></tr><tr><td>3</td><td>57 M</td><td>Rt</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>Okubo (’88)</td></tr><tr><td>4</td><td>31 M</td><td>Bifurcation</td><td>[EMPTY_CELL]</td><td>Dacron</td><td>18</td><td>AG</td><td>Yes</td><td>-</td><td>Jakob (’90)</td></tr><tr><td>5</td><td>34 F</td><td>Rt</td><td>[EMPTY_CELL]</td><td>NA</td><td>13</td><td>-</td><td>-</td><td>-</td><td>Lie (’96)</td></tr><tr><td>6</td><td>25 F</td><td>Rt</td><td>[EMPTY_CELL]</td><td>NA</td><td>25</td><td>-</td><td>-</td><td>-</td><td>Lie (’96)</td></tr><tr><td>7</td><td>76 F</td><td>Rt & Lt</td><td>[EMPTY_CELL]</td><td>PTFE</td><td>-</td><td>-</td><td>-</td><td>-</td><td>Sundt (’01)</td></tr><tr><td>8</td><td>63 F</td><td>Rt & Lt</td><td>[EMPTY_CELL]</td><td>Dacron</td><td>66</td><td>-</td><td>-</td><td>-</td><td>Shikata (’04)</td></tr><tr><td>9</td><td>67 F</td><td>Rt</td><td>[EMPTY_CELL]</td><td>Pericardium</td><td>3</td><td>AG</td><td>Yes</td><td>-</td><td>Yamazaki (’05)</td></tr><tr><td>10</td><td>45 F</td><td>Lt</td><td>[EMPTY_CELL]</td><td>PTFE</td><td>60</td><td>AG</td><td>No</td><td>-</td><td>Nakajima (’07)</td></tr><tr><td>11</td><td>48 M</td><td>Rt</td><td>[EMPTY_CELL]</td><td>Dacron</td><td>6</td><td>CT</td><td>No</td><td>No</td><td>Fujita (’13)</td></tr><tr><td>12</td><td>59 M</td><td>Rt & Lt</td><td>[EMPTY_CELL]</td><td>PTFE</td><td>1.5</td><td>AG & CT</td><td>No</td><td>Yes<sup>†</sup></td><td>Hamamoto (’11)</td></tr><tr><td>13</td><td>51 F</td><td>Rt & Lt</td><td>[EMPTY_CELL]</td><td>PTFE</td><td>30</td><td>AG & CT</td><td>No</td><td>-</td><td>Furtado (’12)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Pt</b>\", \"bbox\": [1, 4, 9, 13]}, {\"cell\": \"<b>Age (Y),gender</b>\", \"bbox\": [20, 4, 47, 22]}, {\"cell\": \"<b>Location</b>\", \"bbox\": [56, 4, 86, 13]}, {\"cell\": \"<b>Procedure</b>\", \"bbox\": [102, 4, 136, 13]}, {\"cell\": \"<b>Material applied</b>\", \"bbox\": [146, 4, 199, 13]}, {\"cell\": \"<b>Follow-upmonths</b>\", \"bbox\": [209, 4, 243, 22]}, {\"cell\": \"<b>Postoperativeimaging</b>\", \"bbox\": [252, 4, 298, 22]}, {\"cell\": \"<b>Restenosis</b>\", \"bbox\": [307, 4, 342, 13]}, {\"cell\": \"<b>Immuno-suppression</b>\", \"bbox\": [352, 4, 421, 13]}, {\"cell\": \"<b>Author (’Y)</b>\", \"bbox\": [431, 4, 467, 13]}, {\"cell\": \"1\", \"bbox\": [0, 26, 6, 36]}, {\"cell\": \"60 F\", \"bbox\": [20, 26, 36, 36]}, {\"cell\": \"Bifurcation\", \"bbox\": [56, 26, 92, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 26, 121, 36]}, {\"cell\": \"Pericardium\", \"bbox\": [146, 26, 186, 36]}, {\"cell\": \"6\", \"bbox\": [209, 26, 215, 36]}, {\"cell\": \"AG\", \"bbox\": [252, 26, 264, 36]}, {\"cell\": \"Yes\", \"bbox\": [307, 26, 320, 36]}, {\"cell\": \"Yes*\", \"bbox\": [352, 26, 368, 36]}, {\"cell\": \"Chauvaud (’87)\", \"bbox\": [431, 26, 481, 36]}, {\"cell\": \"2\", \"bbox\": [0, 40, 6, 50]}, {\"cell\": \"53 M\", \"bbox\": [20, 40, 38, 50]}, {\"cell\": \"Bifurcation\", \"bbox\": [56, 40, 92, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 40, 121, 50]}, {\"cell\": \"Pericardium\", \"bbox\": [146, 40, 186, 50]}, {\"cell\": \"6\", \"bbox\": [209, 40, 215, 50]}, {\"cell\": \"AG\", \"bbox\": [252, 40, 264, 50]}, {\"cell\": \"Yes\", \"bbox\": [307, 40, 320, 50]}, {\"cell\": \"-\", \"bbox\": [352, 40, 356, 50]}, {\"cell\": \"Dietl (’88)\", \"bbox\": [431, 40, 463, 50]}, {\"cell\": \"3\", \"bbox\": [0, 54, 6, 64]}, {\"cell\": \"57 M\", \"bbox\": [20, 54, 38, 64]}, {\"cell\": \"Rt\", \"bbox\": [56, 54, 65, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 54, 121, 64]}, {\"cell\": \"-\", \"bbox\": [146, 54, 150, 64]}, {\"cell\": \"-\", \"bbox\": [209, 54, 213, 64]}, {\"cell\": \"-\", \"bbox\": [252, 54, 257, 64]}, {\"cell\": \"-\", \"bbox\": [307, 54, 312, 64]}, {\"cell\": \"-\", \"bbox\": [352, 54, 356, 64]}, {\"cell\": \"Okubo (’88)\", \"bbox\": [431, 54, 470, 64]}, {\"cell\": \"4\", \"bbox\": [0, 68, 6, 78]}, {\"cell\": \"31 M\", \"bbox\": [20, 68, 38, 78]}, {\"cell\": \"Bifurcation\", \"bbox\": [56, 68, 92, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 68, 121, 78]}, {\"cell\": \"Dacron\", \"bbox\": [146, 68, 171, 78]}, {\"cell\": \"18\", \"bbox\": [209, 68, 218, 78]}, {\"cell\": \"AG\", \"bbox\": [252, 68, 264, 78]}, {\"cell\": \"Yes\", \"bbox\": [307, 68, 320, 78]}, {\"cell\": \"-\", \"bbox\": [352, 68, 356, 78]}, {\"cell\": \"Jakob (’90)\", \"bbox\": [431, 68, 467, 78]}, {\"cell\": \"5\", \"bbox\": [0, 82, 6, 92]}, {\"cell\": \"34 F\", \"bbox\": [20, 82, 36, 92]}, {\"cell\": \"Rt\", \"bbox\": [56, 82, 65, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 82, 129, 92]}, {\"cell\": \"NA\", \"bbox\": [146, 82, 157, 92]}, {\"cell\": \"13\", \"bbox\": [209, 82, 218, 92]}, {\"cell\": \"-\", \"bbox\": [252, 82, 257, 92]}, {\"cell\": \"-\", \"bbox\": [307, 82, 312, 92]}, {\"cell\": \"-\", \"bbox\": [352, 82, 356, 92]}, {\"cell\": \"Lie (’96)\", \"bbox\": [431, 82, 458, 92]}, {\"cell\": \"6\", \"bbox\": [0, 96, 6, 106]}, {\"cell\": \"25 F\", \"bbox\": [20, 96, 36, 106]}, {\"cell\": \"Rt\", \"bbox\": [56, 96, 65, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 96, 129, 106]}, {\"cell\": \"NA\", \"bbox\": [146, 96, 157, 106]}, {\"cell\": \"25\", \"bbox\": [209, 96, 218, 106]}, {\"cell\": \"-\", \"bbox\": [252, 96, 257, 106]}, {\"cell\": \"-\", \"bbox\": [307, 96, 312, 106]}, {\"cell\": \"-\", \"bbox\": [352, 96, 356, 106]}, {\"cell\": \"Lie (’96)\", \"bbox\": [431, 96, 458, 106]}, {\"cell\": \"7\", \"bbox\": [0, 110, 6, 120]}, {\"cell\": \"76 F\", \"bbox\": [20, 110, 36, 120]}, {\"cell\": \"Rt & Lt\", \"bbox\": [56, 110, 80, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 110, 125, 120]}, {\"cell\": \"PTFE\", \"bbox\": [146, 110, 163, 120]}, {\"cell\": \"-\", \"bbox\": [209, 110, 213, 120]}, {\"cell\": \"-\", \"bbox\": [252, 110, 257, 120]}, {\"cell\": \"-\", \"bbox\": [307, 110, 312, 120]}, {\"cell\": \"-\", \"bbox\": [352, 110, 356, 120]}, {\"cell\": \"Sundt (’01)\", \"bbox\": [431, 110, 467, 120]}, {\"cell\": \"8\", \"bbox\": [0, 124, 6, 134]}, {\"cell\": \"63 F\", \"bbox\": [20, 124, 36, 134]}, {\"cell\": \"Rt & Lt\", \"bbox\": [56, 124, 80, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 124, 129, 134]}, {\"cell\": \"Dacron\", \"bbox\": [146, 124, 171, 134]}, {\"cell\": \"66\", \"bbox\": [209, 124, 218, 134]}, {\"cell\": \"-\", \"bbox\": [252, 124, 257, 134]}, {\"cell\": \"-\", \"bbox\": [307, 124, 312, 134]}, {\"cell\": \"-\", \"bbox\": [352, 124, 356, 134]}, {\"cell\": \"Shikata (’04)\", \"bbox\": [431, 124, 471, 134]}, {\"cell\": \"9\", \"bbox\": [0, 138, 6, 148]}, {\"cell\": \"67 F\", \"bbox\": [20, 138, 36, 148]}, {\"cell\": \"Rt\", \"bbox\": [56, 138, 65, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 138, 121, 148]}, {\"cell\": \"Pericardium\", \"bbox\": [146, 138, 186, 148]}, {\"cell\": \"3\", \"bbox\": [209, 138, 215, 148]}, {\"cell\": \"AG\", \"bbox\": [252, 138, 264, 148]}, {\"cell\": \"Yes\", \"bbox\": [307, 138, 320, 148]}, {\"cell\": \"-\", \"bbox\": [352, 138, 356, 148]}, {\"cell\": \"Yamazaki (’05)\", \"bbox\": [431, 138, 478, 148]}, {\"cell\": \"10\", \"bbox\": [1, 152, 10, 162]}, {\"cell\": \"45 F\", \"bbox\": [20, 152, 36, 162]}, {\"cell\": \"Lt\", \"bbox\": [56, 152, 64, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 152, 125, 162]}, {\"cell\": \"PTFE\", \"bbox\": [146, 152, 163, 162]}, {\"cell\": \"60\", \"bbox\": [209, 152, 218, 162]}, {\"cell\": \"AG\", \"bbox\": [252, 152, 264, 162]}, {\"cell\": \"No\", \"bbox\": [307, 152, 319, 162]}, {\"cell\": \"-\", \"bbox\": [352, 152, 356, 162]}, {\"cell\": \"Nakajima (’07)\", \"bbox\": [431, 152, 477, 162]}, {\"cell\": \"11\", \"bbox\": [1, 166, 10, 176]}, {\"cell\": \"48 M\", \"bbox\": [20, 166, 38, 176]}, {\"cell\": \"Rt\", \"bbox\": [56, 166, 65, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 166, 129, 176]}, {\"cell\": \"Dacron\", \"bbox\": [146, 166, 171, 176]}, {\"cell\": \"6\", \"bbox\": [209, 166, 215, 176]}, {\"cell\": \"CT\", \"bbox\": [252, 166, 262, 176]}, {\"cell\": \"No\", \"bbox\": [307, 166, 319, 176]}, {\"cell\": \"No\", \"bbox\": [352, 166, 363, 176]}, {\"cell\": \"Fujita (’13)\", \"bbox\": [431, 166, 466, 176]}, {\"cell\": \"12\", \"bbox\": [1, 180, 10, 190]}, {\"cell\": \"59 M\", \"bbox\": [20, 180, 38, 190]}, {\"cell\": \"Rt & Lt\", \"bbox\": [56, 180, 80, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 180, 129, 190]}, {\"cell\": \"PTFE\", \"bbox\": [146, 180, 163, 190]}, {\"cell\": \"1.5\", \"bbox\": [209, 180, 220, 190]}, {\"cell\": \"AG & CT\", \"bbox\": [252, 180, 281, 190]}, {\"cell\": \"No\", \"bbox\": [307, 180, 319, 190]}, {\"cell\": \"Yes<sup>†</sup>\", \"bbox\": [352, 179, 367, 190]}, {\"cell\": \"Hamamoto (’11)\", \"bbox\": [431, 180, 484, 190]}, {\"cell\": \"13\", \"bbox\": [1, 194, 10, 204]}, {\"cell\": \"51 F\", \"bbox\": [20, 194, 36, 204]}, {\"cell\": \"Rt & Lt\", \"bbox\": [56, 194, 80, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 194, 129, 204]}, {\"cell\": \"PTFE\", \"bbox\": [146, 194, 163, 204]}, {\"cell\": \"30\", \"bbox\": [209, 194, 218, 204]}, {\"cell\": \"AG & CT\", \"bbox\": [252, 194, 281, 204]}, {\"cell\": \"No\", \"bbox\": [307, 194, 319, 204]}, {\"cell\": \"-\", \"bbox\": [352, 194, 356, 204]}, {\"cell\": \"Furtado (’12)\", \"bbox\": [431, 194, 473, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4715312_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}38{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"8\\\"><b>Mean (SD)</b></td></tr></thead><tbody><tr><td><b>Treatment group</b></td><td><b>Baseline</b></td><td><b>Until HDSa</b></td><td><b>Day 1</b></td><td><b>Day 2</b></td><td><b>Day 3</b></td><td>[EMPTY_CELL]</td><td><b>Day 8b</b></td><td><b>Lastc</b></td></tr><tr><td colspan=\\\"9\\\"><b>Alpha-1-microglobulin/urinary creatinine, g/mmol</b></td></tr><tr><td>HES 130/0.4</td><td>17.8 (21.0)</td><td>18.1 (14.8)</td><td>18.3 (16.0)</td><td>19.4 (20.3)</td><td>19.6 (20.5)</td><td>[EMPTY_CELL]</td><td>13.4 (14.9)</td><td>19.9 (22.7)</td></tr><tr><td>NaCI 0.9%</td><td>12.3 (12.9)</td><td>17.2 (18.0)</td><td>17.8 (17.1)</td><td>16.9 (15.0)</td><td>16.7 (14.9)</td><td>[EMPTY_CELL]</td><td>19.5 (23.9)</td><td>19.8 (23.3)</td></tr><tr><td colspan=\\\"9\\\"><b>Beta-NAG/urinary creatinine, UI/mmol</b></td></tr><tr><td>HES 130/0.4</td><td>4.9 (6.6)</td><td>4.1 (3.5)</td><td>5.0 (3.8)</td><td>7.9 (12.8)</td><td>8.1 (13.6)</td><td>[EMPTY_CELL]</td><td>4.5 (3.0)</td><td>6.7 (10.0)</td></tr><tr><td>NaCI 0.9%</td><td>4.1 (4.7)</td><td>4.2 (3.5)</td><td>6.0 (9.1)</td><td>4.7 (4.2)</td><td>4.5 (4.4)</td><td>[EMPTY_CELL]</td><td>5.8 (5.0)</td><td>5.7 (5.5)</td></tr><tr><td colspan=\\\"9\\\"><b>NGAL/urinary creatinine, μg/mmol</b></td></tr><tr><td>HES 130/0.4</td><td>283.0 (785.1)</td><td>352.8 (710.7)</td><td>229.9 (465.5)</td><td>325.9 (1,079.0)</td><td>432.9 (1458.2)</td><td>[EMPTY_CELL]</td><td>24.4 (71.5)</td><td>279.0 (884.8)</td></tr><tr><td>NaCI 0.9%</td><td>305.5 (833.9)</td><td>244.9 (452.4)</td><td>318.7 (644.8)</td><td>149.8 (303.2)</td><td>121.1 (306.1)</td><td>[EMPTY_CELL]</td><td>177.8 (551.5)</td><td>212.8 (604.8)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [259, 4, 297, 13]}, {\"cell\": \"<b>Treatment group</b>\", \"bbox\": [1, 17, 62, 27]}, {\"cell\": \"<b>Baseline</b>\", \"bbox\": [71, 17, 101, 27]}, {\"cell\": \"<b>Until HDSa</b>\", \"bbox\": [122, 17, 162, 27]}, {\"cell\": \"<b>Day 1</b>\", \"bbox\": [173, 17, 195, 27]}, {\"cell\": \"<b>Day 2</b>\", \"bbox\": [224, 17, 246, 27]}, {\"cell\": \"<b>Day 3</b>\", \"bbox\": [280, 17, 303, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 17, 357, 27]}, {\"cell\": \"<b>Day 8b</b>\", \"bbox\": [386, 17, 413, 27]}, {\"cell\": \"<b>Lastc</b>\", \"bbox\": [437, 17, 457, 27]}, {\"cell\": \"<b>Alpha-1-microglobulin/urinary creatinine, g/mmol</b>\", \"bbox\": [1, 30, 175, 40]}, {\"cell\": \"HES 130/0.4\", \"bbox\": [1, 44, 41, 52]}, {\"cell\": \"17.8 (21.0)\", \"bbox\": [71, 44, 105, 52]}, {\"cell\": \"18.1 (14.8)\", \"bbox\": [122, 44, 156, 52]}, {\"cell\": \"18.3 (16.0)\", \"bbox\": [173, 44, 207, 52]}, {\"cell\": \"19.4 (20.3)\", \"bbox\": [224, 44, 258, 52]}, {\"cell\": \"19.6 (20.5)\", \"bbox\": [280, 44, 315, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 44, 370, 52]}, {\"cell\": \"13.4 (14.9)\", \"bbox\": [386, 44, 421, 52]}, {\"cell\": \"19.9 (22.7)\", \"bbox\": [437, 44, 472, 52]}, {\"cell\": \"NaCI 0.9%\", \"bbox\": [1, 56, 35, 64]}, {\"cell\": \"12.3 (12.9)\", \"bbox\": [71, 56, 105, 64]}, {\"cell\": \"17.2 (18.0)\", \"bbox\": [122, 56, 156, 64]}, {\"cell\": \"17.8 (17.1)\", \"bbox\": [173, 56, 207, 64]}, {\"cell\": \"16.9 (15.0)\", \"bbox\": [224, 56, 258, 64]}, {\"cell\": \"16.7 (14.9)\", \"bbox\": [280, 56, 315, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 56, 370, 64]}, {\"cell\": \"19.5 (23.9)\", \"bbox\": [386, 56, 421, 64]}, {\"cell\": \"19.8 (23.3)\", \"bbox\": [437, 56, 472, 64]}, {\"cell\": \"<b>Beta-NAG/urinary creatinine, UI/mmol</b>\", \"bbox\": [1, 69, 134, 78]}, {\"cell\": \"HES 130/0.4\", \"bbox\": [1, 82, 41, 91]}, {\"cell\": \"4.9 (6.6)\", \"bbox\": [71, 82, 98, 91]}, {\"cell\": \"4.1 (3.5)\", \"bbox\": [122, 82, 149, 91]}, {\"cell\": \"5.0 (3.8)\", \"bbox\": [173, 82, 200, 91]}, {\"cell\": \"7.9 (12.8)\", \"bbox\": [224, 82, 255, 91]}, {\"cell\": \"8.1 (13.6)\", \"bbox\": [280, 82, 311, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 82, 362, 91]}, {\"cell\": \"4.5 (3.0)\", \"bbox\": [386, 82, 413, 91]}, {\"cell\": \"6.7 (10.0)\", \"bbox\": [437, 82, 468, 91]}, {\"cell\": \"NaCI 0.9%\", \"bbox\": [1, 94, 35, 103]}, {\"cell\": \"4.1 (4.7)\", \"bbox\": [71, 94, 98, 103]}, {\"cell\": \"4.2 (3.5)\", \"bbox\": [122, 94, 149, 103]}, {\"cell\": \"6.0 (9.1)\", \"bbox\": [173, 94, 200, 103]}, {\"cell\": \"4.7 (4.2)\", \"bbox\": [224, 94, 251, 103]}, {\"cell\": \"4.5 (4.4)\", \"bbox\": [280, 94, 307, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 94, 362, 103]}, {\"cell\": \"5.8 (5.0)\", \"bbox\": [386, 94, 413, 103]}, {\"cell\": \"5.7 (5.5)\", \"bbox\": [437, 94, 464, 103]}, {\"cell\": \"<b>NGAL/urinary creatinine, μg/mmol</b>\", \"bbox\": [1, 107, 122, 117]}, {\"cell\": \"HES 130/0.4\", \"bbox\": [1, 120, 41, 129]}, {\"cell\": \"283.0 (785.1)\", \"bbox\": [71, 120, 113, 129]}, {\"cell\": \"352.8 (710.7)\", \"bbox\": [122, 120, 164, 129]}, {\"cell\": \"229.9 (465.5)\", \"bbox\": [173, 120, 215, 129]}, {\"cell\": \"325.9 (1,079.0)\", \"bbox\": [224, 120, 271, 129]}, {\"cell\": \"432.9 (1458.2)\", \"bbox\": [280, 120, 326, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 120, 373, 129]}, {\"cell\": \"24.4 (71.5)\", \"bbox\": [386, 120, 421, 129]}, {\"cell\": \"279.0 (884.8)\", \"bbox\": [437, 120, 479, 129]}, {\"cell\": \"NaCI 0.9%\", \"bbox\": [1, 132, 35, 141]}, {\"cell\": \"305.5 (833.9)\", \"bbox\": [71, 132, 113, 141]}, {\"cell\": \"244.9 (452.4)\", \"bbox\": [122, 132, 164, 141]}, {\"cell\": \"318.7 (644.8)\", \"bbox\": [173, 132, 215, 141]}, {\"cell\": \"149.8 (303.2)\", \"bbox\": [224, 132, 266, 141]}, {\"cell\": \"121.1 (306.1)\", \"bbox\": [280, 132, 322, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 132, 377, 141]}, {\"cell\": \"177.8 (551.5)\", \"bbox\": [386, 132, 428, 141]}, {\"cell\": \"212.8 (604.8)\", \"bbox\": [437, 132, 479, 141]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3580640_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}39{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Outcomes</b></td><td colspan=\\\"3\\\"><b>Unmatched cohort</b></td><td colspan=\\\"3\\\"><b>Propensity-matched cohort</b></td></tr><tr><td><b>Statins<i>N</i> = 351</b></td><td><b>No statins<i>N</i> = 709</b></td><td><b><i>p</i></b></td><td><b>Statins<i>N</i> = 194</b></td><td><b>No statins<i>N</i> = 194</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>4 [2–9]</td><td>5 [2–10]</td><td>.28</td><td>4 [2–11]</td><td>5 [2–11]</td><td>.58</td></tr><tr><td>[EMPTY_CELL]</td><td>307 (87.5)</td><td>634 (89.4)</td><td>.32</td><td>175 (90.2)</td><td>180 (92.8)</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>150 (42.7)</td><td>296 (41.7)</td><td>.80</td><td>93 (47.9)</td><td>97 (50)</td><td>.76</td></tr><tr><td>[EMPTY_CELL]</td><td>107 (30.5)</td><td>232 (32.7)</td><td>.49</td><td>66 (34)</td><td>55 (28.4)</td><td>.29</td></tr><tr><td>[EMPTY_CELL]</td><td>183 (52.1)</td><td>327 (46.1)</td><td>.07</td><td>99 (51)</td><td>106 (54.6)</td><td>.53</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>65 (18.5)</td><td>149 (21)</td><td>.36</td><td>35 (18)</td><td>48 (24.7)</td><td>.13</td></tr><tr><td>[EMPTY_CELL]</td><td>106 (30.2)</td><td>226 (31.9)</td><td>.58</td><td>62 (32)</td><td>73 (37.6)</td><td>.31</td></tr><tr><td>[EMPTY_CELL]</td><td>92 (26.2)</td><td>198 (27.9)</td><td>.60</td><td>48 (24.7)</td><td>67 (34.5)</td><td>.051</td></tr><tr><td>[EMPTY_CELL]</td><td>112 (31.9)</td><td>235 (33.1)</td><td>.71</td><td>61 (31.4)</td><td>74 (38.1)</td><td>.24</td></tr><tr><td>[EMPTY_CELL]</td><td>129 (36.8)</td><td>255 (36)</td><td>.84</td><td>74 (38.1)</td><td>77 (39.7)</td><td>.83</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Outcomes</b>\", \"bbox\": [1, 4, 38, 14]}, {\"cell\": \"<b>Unmatched cohort</b>\", \"bbox\": [166, 4, 233, 14]}, {\"cell\": \"<b>Propensity-matched cohort</b>\", \"bbox\": [338, 4, 435, 14]}, {\"cell\": \"<b>Statins<i>N</i> = 351</b>\", \"bbox\": [166, 20, 195, 39]}, {\"cell\": \"<b>No statins<i>N</i> = 709</b>\", \"bbox\": [229, 20, 265, 39]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [297, 20, 303, 30]}, {\"cell\": \"<b>Statins<i>N</i> = 194</b>\", \"bbox\": [338, 20, 367, 39]}, {\"cell\": \"<b>No statins<i>N</i> = 194</b>\", \"bbox\": [401, 20, 437, 39]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [469, 20, 475, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 47, 123, 57]}, {\"cell\": \"4 [2–9]\", \"bbox\": [166, 47, 189, 57]}, {\"cell\": \"5 [2–10]\", \"bbox\": [228, 47, 256, 57]}, {\"cell\": \".28\", \"bbox\": [297, 47, 308, 57]}, {\"cell\": \"4 [2–11]\", \"bbox\": [338, 47, 365, 57]}, {\"cell\": \"5 [2–11]\", \"bbox\": [401, 47, 428, 57]}, {\"cell\": \".58\", \"bbox\": [469, 47, 480, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 113, 69]}, {\"cell\": \"307 (87.5)\", \"bbox\": [166, 59, 198, 69]}, {\"cell\": \"634 (89.4)\", \"bbox\": [228, 59, 261, 69]}, {\"cell\": \".32\", \"bbox\": [297, 59, 308, 69]}, {\"cell\": \"175 (90.2)\", \"bbox\": [338, 59, 371, 69]}, {\"cell\": \"180 (92.8)\", \"bbox\": [401, 59, 433, 69]}, {\"cell\": \"1\", \"bbox\": [469, 59, 475, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 91, 81]}, {\"cell\": \"150 (42.7)\", \"bbox\": [166, 71, 198, 81]}, {\"cell\": \"296 (41.7)\", \"bbox\": [228, 71, 261, 81]}, {\"cell\": \".80\", \"bbox\": [297, 71, 308, 81]}, {\"cell\": \"93 (47.9)\", \"bbox\": [338, 71, 367, 81]}, {\"cell\": \"97 (50)\", \"bbox\": [401, 71, 424, 81]}, {\"cell\": \".76\", \"bbox\": [469, 71, 480, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 126, 93]}, {\"cell\": \"107 (30.5)\", \"bbox\": [166, 83, 198, 93]}, {\"cell\": \"232 (32.7)\", \"bbox\": [228, 83, 261, 93]}, {\"cell\": \".49\", \"bbox\": [297, 83, 308, 93]}, {\"cell\": \"66 (34)\", \"bbox\": [338, 83, 361, 93]}, {\"cell\": \"55 (28.4)\", \"bbox\": [401, 83, 430, 93]}, {\"cell\": \".29\", \"bbox\": [469, 83, 480, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 133, 105]}, {\"cell\": \"183 (52.1)\", \"bbox\": [166, 96, 198, 105]}, {\"cell\": \"327 (46.1)\", \"bbox\": [228, 96, 261, 105]}, {\"cell\": \".07\", \"bbox\": [297, 96, 308, 105]}, {\"cell\": \"99 (51)\", \"bbox\": [338, 96, 361, 105]}, {\"cell\": \"106 (54.6)\", \"bbox\": [401, 96, 433, 105]}, {\"cell\": \".53\", \"bbox\": [469, 96, 480, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 108, 31, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 120, 61, 129]}, {\"cell\": \"65 (18.5)\", \"bbox\": [166, 120, 195, 129]}, {\"cell\": \"149 (21)\", \"bbox\": [228, 120, 256, 129]}, {\"cell\": \".36\", \"bbox\": [297, 120, 308, 129]}, {\"cell\": \"35 (18)\", \"bbox\": [338, 120, 361, 129]}, {\"cell\": \"48 (24.7)\", \"bbox\": [401, 120, 430, 129]}, {\"cell\": \".13\", \"bbox\": [469, 120, 480, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 132, 76, 141]}, {\"cell\": \"106 (30.2)\", \"bbox\": [166, 132, 198, 141]}, {\"cell\": \"226 (31.9)\", \"bbox\": [228, 132, 261, 141]}, {\"cell\": \".58\", \"bbox\": [297, 132, 308, 141]}, {\"cell\": \"62 (32)\", \"bbox\": [338, 132, 361, 141]}, {\"cell\": \"73 (37.6)\", \"bbox\": [401, 132, 430, 141]}, {\"cell\": \".31\", \"bbox\": [469, 132, 480, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 144, 72, 153]}, {\"cell\": \"92 (26.2)\", \"bbox\": [166, 144, 195, 153]}, {\"cell\": \"198 (27.9)\", \"bbox\": [228, 144, 261, 153]}, {\"cell\": \".60\", \"bbox\": [297, 144, 308, 153]}, {\"cell\": \"48 (24.7)\", \"bbox\": [338, 144, 367, 153]}, {\"cell\": \"67 (34.5)\", \"bbox\": [401, 144, 430, 153]}, {\"cell\": \".051\", \"bbox\": [469, 144, 484, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 156, 72, 166]}, {\"cell\": \"112 (31.9)\", \"bbox\": [166, 156, 198, 166]}, {\"cell\": \"235 (33.1)\", \"bbox\": [228, 156, 261, 166]}, {\"cell\": \".71\", \"bbox\": [297, 156, 308, 166]}, {\"cell\": \"61 (31.4)\", \"bbox\": [338, 156, 367, 166]}, {\"cell\": \"74 (38.1)\", \"bbox\": [401, 156, 430, 166]}, {\"cell\": \".24\", \"bbox\": [469, 156, 480, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 168, 72, 178]}, {\"cell\": \"129 (36.8)\", \"bbox\": [166, 168, 198, 178]}, {\"cell\": \"255 (36)\", \"bbox\": [228, 168, 256, 178]}, {\"cell\": \".84\", \"bbox\": [297, 168, 308, 178]}, {\"cell\": \"74 (38.1)\", \"bbox\": [338, 168, 367, 178]}, {\"cell\": \"77 (39.7)\", \"bbox\": [401, 168, 430, 178]}, {\"cell\": \".83\", \"bbox\": [469, 168, 480, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5773465_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}40{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Parameters</b></td></tr><tr><td><b>Samples</b></td><td><b>Degradation Time [days]</b></td><td><b>Composition</b></td><td><b>Tensile Strength [MPa]</b></td><td><b>Elongation at Break [%]</b></td><td><b>Elastic Modulus [MPa]</b></td></tr></thead><tbody><tr><td>SMC</td><td>[EMPTY_CELL]</td><td>MCCh: 66.7Glycerol: 33.3</td><td>0.172</td><td>1.53</td><td>1.40</td></tr><tr><td>SMC-TCP</td><td>[EMPTY_CELL]</td><td>MCCh: 53.4β-TCP: 13.3Glycerol: 33.3</td><td>0.015</td><td>2.41</td><td>1.00</td></tr><tr><td>SMC</td><td>[EMPTY_CELL]</td><td>MCCh: 66.7Glycerol: 33.3</td><td>0.0073</td><td>1.88</td><td>0.005</td></tr><tr><td>SMC-TCP</td><td>[EMPTY_CELL]</td><td>MCCh: 53.4β-TCP: 13.3Glycerol: 33.3</td><td>0.0055</td><td>3.14</td><td>0.015</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Parameters</b>\", \"bbox\": [336, 6, 392, 18]}, {\"cell\": \"<b>Samples</b>\", \"bbox\": [14, 22, 55, 34]}, {\"cell\": \"<b>Degradation Time [days]</b>\", \"bbox\": [76, 22, 136, 49]}, {\"cell\": \"<b>Composition</b>\", \"bbox\": [157, 22, 219, 34]}, {\"cell\": \"<b>Tensile Strength [MPa]</b>\", \"bbox\": [239, 22, 317, 49]}, {\"cell\": \"<b>Elongation at Break [%]</b>\", \"bbox\": [331, 22, 397, 49]}, {\"cell\": \"<b>Elastic Modulus [MPa]</b>\", \"bbox\": [407, 22, 483, 49]}, {\"cell\": \"SMC\", \"bbox\": [22, 52, 47, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 52, 110, 64]}, {\"cell\": \"MCCh: 66.7Glycerol: 33.3\", \"bbox\": [155, 52, 221, 79]}, {\"cell\": \"0.172\", \"bbox\": [265, 52, 291, 64]}, {\"cell\": \"1.53\", \"bbox\": [353, 52, 375, 64]}, {\"cell\": \"1.40\", \"bbox\": [434, 52, 456, 64]}, {\"cell\": \"SMC-TCP\", \"bbox\": [10, 82, 59, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 82, 110, 94]}, {\"cell\": \"MCCh: 53.4β-TCP: 13.3Glycerol: 33.3\", \"bbox\": [155, 82, 221, 124]}, {\"cell\": \"0.015\", \"bbox\": [265, 82, 291, 94]}, {\"cell\": \"2.41\", \"bbox\": [353, 82, 375, 94]}, {\"cell\": \"1.00\", \"bbox\": [434, 82, 456, 94]}, {\"cell\": \"SMC\", \"bbox\": [22, 127, 47, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 127, 112, 139]}, {\"cell\": \"MCCh: 66.7Glycerol: 33.3\", \"bbox\": [155, 127, 221, 154]}, {\"cell\": \"0.0073\", \"bbox\": [262, 127, 294, 139]}, {\"cell\": \"1.88\", \"bbox\": [353, 127, 375, 139]}, {\"cell\": \"0.005\", \"bbox\": [432, 127, 459, 139]}, {\"cell\": \"SMC-TCP\", \"bbox\": [10, 157, 59, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 157, 112, 169]}, {\"cell\": \"MCCh: 53.4β-TCP: 13.3Glycerol: 33.3\", \"bbox\": [155, 157, 221, 199]}, {\"cell\": \"0.0055\", \"bbox\": [262, 157, 294, 169]}, {\"cell\": \"3.14\", \"bbox\": [353, 157, 375, 169]}, {\"cell\": \"0.015\", \"bbox\": [432, 157, 459, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3397549_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}41{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>SNP (dbSNP ID)</b></td><td><b>chr11 position</b></td><td><b>variant amino acid</b></td><td><b>minor allele frequency in chronic tinnitus</b></td><td><b>homozygous/heterozygous carriers of the minor allele (p<sub>HWE</sub>)</b></td></tr></thead><tbody><tr><td>g.15,002T>C</td><td>74,168,599</td><td>T4A</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>g.15,041G>A</td><td>74,168,560</td><td>V17M</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>g.15,108C>G (rs34604640)</td><td>74,168,493</td><td>P39R</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>g.15,131C>G (rs17215444)</td><td>74,168,470</td><td>R47G</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>g.15,150G>A</td><td>74,168,451</td><td>R53H</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>g.15,190T>C (rs2270676)</b></td><td><b>74,168,411</b></td><td><b>F66F</b></td><td>[EMPTY_CELL]</td><td><b>5/62 (0.788)</b></td></tr><tr><td>g.15,220C>T (rs17221826)</td><td>74,168,381</td><td>I76I</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>g.15,240G>A (rs17215437)</b></td><td><b>74,168,361</b></td><td><b>R83H</b></td><td>[EMPTY_CELL]</td><td><b>0/3 (0.930)</b></td></tr><tr><td>g.15,255G>A (rs17221833)</td><td>74,168,346</td><td>R88H</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>g.15,288G>A</td><td>74,168,313</td><td>R99H</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>g.15,321C>T (rs11822977)</td><td>74,168,280</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>SNP (dbSNP ID)</b>\", \"bbox\": [11, 4, 67, 13]}, {\"cell\": \"<b>chr11 position</b>\", \"bbox\": [87, 4, 117, 22]}, {\"cell\": \"<b>variant amino acid</b>\", \"bbox\": [130, 4, 180, 22]}, {\"cell\": \"<b>minor allele frequency in chronic tinnitus</b>\", \"bbox\": [187, 4, 304, 22]}, {\"cell\": \"<b>homozygous/heterozygous carriers of the minor allele (p<sub>HWE</sub>)</b>\", \"bbox\": [311, 4, 482, 23]}, {\"cell\": \"g.15,002T>C\", \"bbox\": [18, 26, 59, 36]}, {\"cell\": \"74,168,599\", \"bbox\": [85, 26, 120, 36]}, {\"cell\": \"T4A\", \"bbox\": [148, 26, 162, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 26, 255, 36]}, {\"cell\": \"-\", \"bbox\": [395, 26, 399, 36]}, {\"cell\": \"g.15,041G>A\", \"bbox\": [18, 40, 60, 49]}, {\"cell\": \"74,168,560\", \"bbox\": [85, 40, 120, 49]}, {\"cell\": \"V17M\", \"bbox\": [145, 40, 165, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 40, 255, 49]}, {\"cell\": \"-\", \"bbox\": [395, 40, 399, 49]}, {\"cell\": \"g.15,108C>G (rs34604640)\", \"bbox\": [18, 53, 60, 71]}, {\"cell\": \"74,168,493\", \"bbox\": [85, 53, 120, 62]}, {\"cell\": \"P39R\", \"bbox\": [146, 53, 164, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 53, 255, 62]}, {\"cell\": \"-\", \"bbox\": [395, 53, 399, 62]}, {\"cell\": \"g.15,131C>G (rs17215444)\", \"bbox\": [18, 75, 60, 93]}, {\"cell\": \"74,168,470\", \"bbox\": [85, 75, 120, 84]}, {\"cell\": \"R47G\", \"bbox\": [146, 75, 164, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 75, 255, 84]}, {\"cell\": \"-\", \"bbox\": [395, 75, 399, 84]}, {\"cell\": \"g.15,150G>A\", \"bbox\": [18, 97, 60, 106]}, {\"cell\": \"74,168,451\", \"bbox\": [85, 97, 120, 106]}, {\"cell\": \"R53H\", \"bbox\": [146, 97, 164, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 97, 255, 106]}, {\"cell\": \"-\", \"bbox\": [395, 97, 399, 106]}, {\"cell\": \"<b>g.15,190T>C (rs2270676)</b>\", \"bbox\": [16, 110, 61, 129]}, {\"cell\": \"<b>74,168,411</b>\", \"bbox\": [82, 110, 122, 120]}, {\"cell\": \"<b>F66F</b>\", \"bbox\": [146, 110, 164, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 110, 256, 120]}, {\"cell\": \"<b>5/62 (0.788)</b>\", \"bbox\": [375, 110, 418, 120]}, {\"cell\": \"g.15,220C>T (rs17221826)\", \"bbox\": [18, 132, 60, 151]}, {\"cell\": \"74,168,381\", \"bbox\": [85, 132, 120, 142]}, {\"cell\": \"I76I\", \"bbox\": [148, 132, 161, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 132, 255, 142]}, {\"cell\": \"-\", \"bbox\": [395, 132, 399, 142]}, {\"cell\": \"<b>g.15,240G>A (rs17215437)</b>\", \"bbox\": [15, 154, 62, 173]}, {\"cell\": \"<b>74,168,361</b>\", \"bbox\": [82, 154, 122, 164]}, {\"cell\": \"<b>R83H</b>\", \"bbox\": [145, 154, 165, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 154, 256, 164]}, {\"cell\": \"<b>0/3 (0.930)</b>\", \"bbox\": [377, 154, 416, 164]}, {\"cell\": \"g.15,255G>A (rs17221833)\", \"bbox\": [18, 177, 60, 195]}, {\"cell\": \"74,168,346\", \"bbox\": [85, 177, 120, 186]}, {\"cell\": \"R88H\", \"bbox\": [146, 177, 164, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 177, 255, 186]}, {\"cell\": \"-\", \"bbox\": [395, 177, 399, 186]}, {\"cell\": \"g.15,288G>A\", \"bbox\": [18, 199, 60, 208]}, {\"cell\": \"74,168,313\", \"bbox\": [85, 199, 120, 208]}, {\"cell\": \"R99H\", \"bbox\": [146, 199, 164, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 199, 255, 208]}, {\"cell\": \"-\", \"bbox\": [395, 199, 399, 208]}, {\"cell\": \"g.15,321C>T (rs11822977)\", \"bbox\": [18, 212, 60, 230]}, {\"cell\": \"74,168,280\", \"bbox\": [85, 212, 120, 221]}, {\"cell\": \"-\", \"bbox\": [153, 212, 157, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 212, 255, 221]}, {\"cell\": \"-\", \"bbox\": [395, 212, 399, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3180252_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}42{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Description</b></td><td><b>Chr</b></td><td><b>Start</b></td><td><b>End</b></td><td><b>Peak score</b></td><td><b>Annotation</b></td><td><b>Distance to SSS (bp)</b></td></tr></thead><tbody><tr><td>mir-3687a</td><td>chr21</td><td>9825273</td><td>9827785</td><td>[EMPTY_CELL]</td><td>TTS</td><td>321</td></tr><tr><td>mir-663</td><td>chr20</td><td>26188340</td><td>26191020</td><td>[EMPTY_CELL]</td><td>Promoter-TSS</td><td>−733</td></tr><tr><td>mir-548f-5</td><td>chr13</td><td>36531932</td><td>36532876</td><td>[EMPTY_CELL]</td><td>Intron</td><td>−17000</td></tr><tr><td>mir-122</td><td>chr18</td><td>56179601</td><td>56180702</td><td>[EMPTY_CELL]</td><td>Intron</td><td>61798</td></tr><tr><td>let-7a-1</td><td>chr9</td><td>96927827</td><td>96929643</td><td>[EMPTY_CELL]</td><td>Intergenic</td><td>−9435</td></tr><tr><td>mir-3910-2</td><td>chr9</td><td>94472980</td><td>94474733</td><td>[EMPTY_CELL]</td><td>Intergenic</td><td>−75228</td></tr><tr><td>mir-592</td><td>chr7</td><td>125691975</td><td>125692956</td><td>[EMPTY_CELL]</td><td>Intergenic</td><td>1005759</td></tr><tr><td>mir-3648a</td><td>chr21</td><td>9698762</td><td>9700581</td><td>[EMPTY_CELL]</td><td>Intergenic</td><td>−126353</td></tr><tr><td>mir-193a</td><td>chr17</td><td>29876126</td><td>29877625</td><td>[EMPTY_CELL]</td><td>Intergenic</td><td>−10141</td></tr><tr><td>mir-3943</td><td>chr7</td><td>43236886</td><td>43238815</td><td>[EMPTY_CELL]</td><td>Intron</td><td>47413</td></tr><tr><td>mir-1538</td><td>chr16</td><td>69599285</td><td>69600694</td><td>[EMPTY_CELL]</td><td>Promoter-TSS</td><td>−136</td></tr><tr><td>mir-595</td><td>chr7</td><td>157939829</td><td>157940996</td><td>[EMPTY_CELL]</td><td>Intron</td><td>385055</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Description</b>\", \"bbox\": [1, 7, 46, 17]}, {\"cell\": \"<b>Chr</b>\", \"bbox\": [78, 7, 93, 17]}, {\"cell\": \"<b>Start</b>\", \"bbox\": [136, 7, 156, 17]}, {\"cell\": \"<b>End</b>\", \"bbox\": [208, 7, 225, 17]}, {\"cell\": \"<b>Peak score</b>\", \"bbox\": [266, 7, 309, 17]}, {\"cell\": \"<b>Annotation</b>\", \"bbox\": [342, 7, 386, 17]}, {\"cell\": \"<b>Distance to SSS (bp)</b>\", \"bbox\": [419, 7, 499, 17]}, {\"cell\": \"mir-3687a\", \"bbox\": [1, 23, 37, 34]}, {\"cell\": \"chr21\", \"bbox\": [74, 24, 96, 34]}, {\"cell\": \"9825273\", \"bbox\": [129, 24, 162, 34]}, {\"cell\": \"9827785\", \"bbox\": [200, 24, 233, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 24, 297, 34]}, {\"cell\": \"TTS\", \"bbox\": [356, 24, 373, 34]}, {\"cell\": \"321\", \"bbox\": [451, 24, 466, 34]}, {\"cell\": \"mir-663\", \"bbox\": [1, 33, 29, 42]}, {\"cell\": \"chr20\", \"bbox\": [74, 33, 96, 42]}, {\"cell\": \"26188340\", \"bbox\": [127, 33, 164, 42]}, {\"cell\": \"26191020\", \"bbox\": [198, 33, 235, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 33, 303, 42]}, {\"cell\": \"Promoter-TSS\", \"bbox\": [338, 33, 390, 42]}, {\"cell\": \"−733\", \"bbox\": [448, 33, 470, 42]}, {\"cell\": \"mir-548f-5\", \"bbox\": [1, 41, 38, 51]}, {\"cell\": \"chr13\", \"bbox\": [74, 41, 96, 51]}, {\"cell\": \"36531932\", \"bbox\": [127, 41, 164, 51]}, {\"cell\": \"36532876\", \"bbox\": [198, 41, 235, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 41, 301, 51]}, {\"cell\": \"Intron\", \"bbox\": [353, 41, 375, 51]}, {\"cell\": \"−17000\", \"bbox\": [444, 41, 475, 51]}, {\"cell\": \"mir-122\", \"bbox\": [1, 50, 29, 59]}, {\"cell\": \"chr18\", \"bbox\": [74, 50, 96, 59]}, {\"cell\": \"56179601\", \"bbox\": [127, 50, 164, 59]}, {\"cell\": \"56180702\", \"bbox\": [198, 50, 235, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 50, 301, 59]}, {\"cell\": \"Intron\", \"bbox\": [353, 50, 375, 59]}, {\"cell\": \"61798\", \"bbox\": [447, 50, 471, 59]}, {\"cell\": \"let-7a-1\", \"bbox\": [1, 58, 29, 68]}, {\"cell\": \"chr9\", \"bbox\": [77, 58, 94, 68]}, {\"cell\": \"96927827\", \"bbox\": [127, 58, 164, 68]}, {\"cell\": \"96929643\", \"bbox\": [198, 58, 235, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 58, 303, 68]}, {\"cell\": \"Intergenic\", \"bbox\": [346, 58, 382, 68]}, {\"cell\": \"−9435\", \"bbox\": [446, 58, 473, 68]}, {\"cell\": \"mir-3910-2\", \"bbox\": [0, 66, 40, 76]}, {\"cell\": \"chr9\", \"bbox\": [77, 66, 94, 76]}, {\"cell\": \"94472980\", \"bbox\": [127, 66, 164, 76]}, {\"cell\": \"94474733\", \"bbox\": [198, 66, 235, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 66, 301, 76]}, {\"cell\": \"Intergenic\", \"bbox\": [346, 66, 382, 76]}, {\"cell\": \"−75228\", \"bbox\": [444, 66, 475, 76]}, {\"cell\": \"mir-592\", \"bbox\": [0, 75, 29, 85]}, {\"cell\": \"chr7\", \"bbox\": [77, 75, 94, 85]}, {\"cell\": \"125691975\", \"bbox\": [125, 75, 167, 85]}, {\"cell\": \"125692956\", \"bbox\": [195, 75, 237, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 75, 303, 85]}, {\"cell\": \"Intergenic\", \"bbox\": [346, 75, 382, 85]}, {\"cell\": \"1005759\", \"bbox\": [442, 75, 475, 85]}, {\"cell\": \"mir-3648a\", \"bbox\": [0, 82, 37, 93]}, {\"cell\": \"chr21\", \"bbox\": [74, 83, 96, 93]}, {\"cell\": \"9698762\", \"bbox\": [129, 83, 162, 93]}, {\"cell\": \"9700581\", \"bbox\": [200, 83, 233, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 83, 301, 93]}, {\"cell\": \"Intergenic\", \"bbox\": [346, 83, 382, 93]}, {\"cell\": \"−126353\", \"bbox\": [443, 83, 476, 93]}, {\"cell\": \"mir-193a\", \"bbox\": [1, 92, 33, 101]}, {\"cell\": \"chr17\", \"bbox\": [74, 92, 96, 101]}, {\"cell\": \"29876126\", \"bbox\": [127, 92, 164, 101]}, {\"cell\": \"29877625\", \"bbox\": [198, 92, 235, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 92, 303, 101]}, {\"cell\": \"Intergenic\", \"bbox\": [346, 92, 382, 101]}, {\"cell\": \"−10141\", \"bbox\": [444, 92, 475, 101]}, {\"cell\": \"mir-3943\", \"bbox\": [0, 100, 33, 110]}, {\"cell\": \"chr7\", \"bbox\": [77, 100, 94, 110]}, {\"cell\": \"43236886\", \"bbox\": [127, 100, 164, 110]}, {\"cell\": \"43238815\", \"bbox\": [198, 100, 235, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 100, 303, 110]}, {\"cell\": \"Intron\", \"bbox\": [353, 100, 375, 110]}, {\"cell\": \"47413\", \"bbox\": [447, 100, 471, 110]}, {\"cell\": \"mir-1538\", \"bbox\": [0, 109, 33, 118]}, {\"cell\": \"chr16\", \"bbox\": [74, 109, 96, 118]}, {\"cell\": \"69599285\", \"bbox\": [127, 109, 164, 118]}, {\"cell\": \"69600694\", \"bbox\": [198, 109, 235, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 109, 301, 118]}, {\"cell\": \"Promoter-TSS\", \"bbox\": [338, 109, 390, 118]}, {\"cell\": \"−136\", \"bbox\": [449, 109, 470, 118]}, {\"cell\": \"mir-595\", \"bbox\": [0, 117, 29, 127]}, {\"cell\": \"chr7\", \"bbox\": [77, 117, 94, 127]}, {\"cell\": \"157939829\", \"bbox\": [125, 117, 167, 127]}, {\"cell\": \"157940996\", \"bbox\": [195, 117, 237, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 117, 301, 127]}, {\"cell\": \"Intron\", \"bbox\": [353, 117, 375, 127]}, {\"cell\": \"385055\", \"bbox\": [445, 117, 473, 127]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4669786_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}43{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Swallowing structures</b></td><td colspan=\\\"2\\\"><b>Current study</b></td><td colspan=\\\"2\\\"><b>Feng et al 2007 [21]</b></td><td colspan=\\\"2\\\"><b>Levendag et al* 2007 [7]</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Median</b></td><td><b>Range</b></td><td><b>Median</b></td><td><b>Range</b></td><td><b>Median</b></td><td><b>Range</b></td></tr></thead><tbody><tr><td><b>PCs</b></td><td>Volume (cc)</td><td>20</td><td>11-32</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Dose (Gy)</td><td>59</td><td>39-66</td><td>[EMPTY_CELL]</td><td>51-72</td><td>48</td><td>6.0-73.0</td></tr><tr><td><b>scm</b></td><td>Volume (cc)</td><td>12</td><td>6-21</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Dose (Gy)</td><td>59.4</td><td>24-69</td><td>[EMPTY_CELL]</td><td>57-74</td><td>51</td><td>22.0-73.0</td></tr><tr><td><b>mcm</b></td><td>Volume (cc)</td><td>3.6</td><td>1.5-9</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Dose (Gy)</td><td>59</td><td>37.0-71.5</td><td>[EMPTY_CELL]</td><td>53-75</td><td>48</td><td>11.0-72.0</td></tr><tr><td><b>icm</b></td><td>Volume (cc)</td><td>3.7</td><td>0.9-7</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Dose (Gy)</td><td>53</td><td>29-73</td><td>[EMPTY_CELL]</td><td>30-70</td><td>32</td><td>6.0-73.0</td></tr><tr><td><b>GSL</b></td><td>Volume (cc)</td><td>15.3</td><td>6.4-23</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Dose (Gy)</td><td>53</td><td>28-70</td><td>[EMPTY_CELL]</td><td>22-72</td><td>NA</td><td>NA</td></tr><tr><td><b>eim</b></td><td>Volume (cc)</td><td>5.4</td><td>0.7-44</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Dose (Gy)</td><td>39</td><td>16.0-67.8</td><td>[EMPTY_CELL]</td><td>15-66</td><td>18</td><td>3.0-64.0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Swallowing structures</b>\", \"bbox\": [1, 4, 79, 13]}, {\"cell\": \"<b>Current study</b>\", \"bbox\": [153, 4, 202, 13]}, {\"cell\": \"<b>Feng et al 2007 [21]</b>\", \"bbox\": [255, 4, 327, 13]}, {\"cell\": \"<b>Levendag et al* 2007 [7]</b>\", \"bbox\": [375, 4, 463, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Median</b>\", \"bbox\": [148, 17, 174, 27]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [178, 17, 199, 27]}, {\"cell\": \"<b>Median</b>\", \"bbox\": [265, 17, 291, 27]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [295, 17, 317, 27]}, {\"cell\": \"<b>Median</b>\", \"bbox\": [389, 17, 415, 27]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [419, 17, 440, 27]}, {\"cell\": \"<b>PCs</b>\", \"bbox\": [1, 30, 15, 40]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 30, 93, 40]}, {\"cell\": \"20\", \"bbox\": [164, 30, 174, 40]}, {\"cell\": \"11-32\", \"bbox\": [178, 30, 197, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 30, 291, 40]}, {\"cell\": \"NA\", \"bbox\": [295, 30, 307, 40]}, {\"cell\": \"NA\", \"bbox\": [403, 30, 415, 40]}, {\"cell\": \"NA\", \"bbox\": [419, 30, 430, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 42, 86, 52]}, {\"cell\": \"59\", \"bbox\": [164, 42, 174, 52]}, {\"cell\": \"39-66\", \"bbox\": [178, 42, 197, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 42, 291, 52]}, {\"cell\": \"51-72\", \"bbox\": [295, 42, 314, 52]}, {\"cell\": \"48\", \"bbox\": [405, 42, 415, 52]}, {\"cell\": \"6.0-73.0\", \"bbox\": [419, 42, 445, 52]}, {\"cell\": \"<b>scm</b>\", \"bbox\": [1, 56, 16, 65]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 56, 93, 65]}, {\"cell\": \"12\", \"bbox\": [164, 56, 174, 65]}, {\"cell\": \"6-21\", \"bbox\": [178, 56, 193, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 56, 291, 65]}, {\"cell\": \"NA\", \"bbox\": [295, 56, 307, 65]}, {\"cell\": \"NA\", \"bbox\": [403, 56, 415, 65]}, {\"cell\": \"NA\", \"bbox\": [419, 56, 430, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 68, 86, 77]}, {\"cell\": \"59.4\", \"bbox\": [159, 68, 174, 77]}, {\"cell\": \"24-69\", \"bbox\": [178, 68, 197, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 68, 291, 77]}, {\"cell\": \"57-74\", \"bbox\": [295, 68, 314, 77]}, {\"cell\": \"51\", \"bbox\": [405, 68, 415, 77]}, {\"cell\": \"22.0-73.0\", \"bbox\": [419, 68, 448, 77]}, {\"cell\": \"<b>mcm</b>\", \"bbox\": [1, 81, 20, 90]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 81, 93, 90]}, {\"cell\": \"3.6\", \"bbox\": [163, 81, 174, 90]}, {\"cell\": \"1.5-9\", \"bbox\": [178, 81, 195, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 81, 291, 90]}, {\"cell\": \"NA\", \"bbox\": [295, 81, 307, 90]}, {\"cell\": \"NA\", \"bbox\": [403, 81, 415, 90]}, {\"cell\": \"NA\", \"bbox\": [419, 81, 430, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 93, 86, 102]}, {\"cell\": \"59\", \"bbox\": [164, 93, 174, 102]}, {\"cell\": \"37.0-71.5\", \"bbox\": [178, 93, 207, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 93, 291, 102]}, {\"cell\": \"53-75\", \"bbox\": [295, 93, 314, 102]}, {\"cell\": \"48\", \"bbox\": [405, 93, 415, 102]}, {\"cell\": \"11.0-72.0\", \"bbox\": [419, 93, 448, 102]}, {\"cell\": \"<b>icm</b>\", \"bbox\": [1, 106, 15, 115]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 106, 93, 115]}, {\"cell\": \"3.7\", \"bbox\": [163, 106, 174, 115]}, {\"cell\": \"0.9-7\", \"bbox\": [178, 106, 195, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 106, 291, 115]}, {\"cell\": \"NA\", \"bbox\": [295, 106, 307, 115]}, {\"cell\": \"NA\", \"bbox\": [403, 106, 415, 115]}, {\"cell\": \"NA\", \"bbox\": [419, 106, 430, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 118, 86, 127]}, {\"cell\": \"53\", \"bbox\": [164, 118, 174, 127]}, {\"cell\": \"29-73\", \"bbox\": [178, 118, 197, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 118, 291, 127]}, {\"cell\": \"30-70\", \"bbox\": [295, 118, 314, 127]}, {\"cell\": \"32\", \"bbox\": [405, 118, 415, 127]}, {\"cell\": \"6.0-73.0\", \"bbox\": [419, 118, 445, 127]}, {\"cell\": \"<b>GSL</b>\", \"bbox\": [1, 131, 16, 141]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 131, 93, 141]}, {\"cell\": \"15.3\", \"bbox\": [159, 131, 174, 141]}, {\"cell\": \"6.4-23\", \"bbox\": [178, 131, 198, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 131, 291, 141]}, {\"cell\": \"NA\", \"bbox\": [295, 131, 307, 141]}, {\"cell\": \"NA\", \"bbox\": [403, 131, 415, 141]}, {\"cell\": \"NA\", \"bbox\": [419, 131, 430, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 143, 86, 152]}, {\"cell\": \"53\", \"bbox\": [164, 143, 174, 152]}, {\"cell\": \"28-70\", \"bbox\": [178, 143, 197, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 143, 291, 152]}, {\"cell\": \"22-72\", \"bbox\": [295, 143, 314, 152]}, {\"cell\": \"NA\", \"bbox\": [403, 143, 415, 152]}, {\"cell\": \"NA\", \"bbox\": [419, 143, 430, 152]}, {\"cell\": \"<b>eim</b>\", \"bbox\": [1, 156, 15, 166]}, {\"cell\": \"Volume (cc)\", \"bbox\": [53, 156, 93, 166]}, {\"cell\": \"5.4\", \"bbox\": [163, 156, 174, 166]}, {\"cell\": \"0.7-44\", \"bbox\": [178, 156, 198, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 156, 291, 166]}, {\"cell\": \"NA\", \"bbox\": [295, 156, 307, 166]}, {\"cell\": \"NA\", \"bbox\": [403, 156, 415, 166]}, {\"cell\": \"NA\", \"bbox\": [419, 156, 430, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [53, 168, 86, 178]}, {\"cell\": \"39\", \"bbox\": [164, 168, 174, 178]}, {\"cell\": \"16.0-67.8\", \"bbox\": [178, 168, 207, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 168, 291, 178]}, {\"cell\": \"15-66\", \"bbox\": [295, 168, 314, 178]}, {\"cell\": \"18\", \"bbox\": [405, 168, 415, 178]}, {\"cell\": \"3.0-64.0\", \"bbox\": [419, 168, 445, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3027127_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}44{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>accredited</b></td><td colspan=\\\"2\\\"><b>non-accredited</b></td><td><b>p</b></td></tr><tr><td><b>Picker factors</b></td><td><b>n</b></td><td><b>Mean (STD)</b></td><td><b>n</b></td><td><b>Mean (STD)</b></td><td><b>Value<sup>u</sup></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1825</td><td>18.09 (27.57)</td><td>1196</td><td>17.11 (26.40)</td><td>0.538</td></tr><tr><td>[EMPTY_CELL]</td><td>1825</td><td>14.85 (25.56)</td><td>1199</td><td>15.19 (25.12)</td><td>0.341</td></tr><tr><td>[EMPTY_CELL]</td><td>1791</td><td>17.52 (30.60)</td><td>1182</td><td>18.63 (31.10)</td><td>0.232</td></tr><tr><td>[EMPTY_CELL]</td><td>1749</td><td>26.30 (36.24)</td><td>1156</td><td>24.22 (35.32)</td><td>0.122</td></tr><tr><td>[EMPTY_CELL]</td><td>1754</td><td>15.04 (25.52)</td><td>1150</td><td>16.30 (26.14)</td><td>0.136</td></tr><tr><td>[EMPTY_CELL]</td><td>1781</td><td>22.94 (37.14)</td><td>1176</td><td>25.13 (39.14)</td><td>0.232</td></tr><tr><td>[EMPTY_CELL]</td><td>1647</td><td>51.08 (42.44)</td><td>1067</td><td>51.55 (42.19)</td><td>0.797</td></tr><tr><td>[EMPTY_CELL]</td><td>1780</td><td>11.46 (29.39)</td><td>1160</td><td>11.38 (29.08)</td><td>0.940</td></tr><tr><td>[EMPTY_CELL]</td><td>1101</td><td>30.61 (40.10)</td><td>757</td><td>32.03 (41.08)</td><td>0.527</td></tr><tr><td>[EMPTY_CELL]</td><td>1290</td><td>24.57 (36.44)</td><td>863</td><td>20.95 (33.58)</td><td>0.055</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>accredited</b>\", \"bbox\": [178, 3, 217, 13]}, {\"cell\": \"<b>non-accredited</b>\", \"bbox\": [312, 3, 369, 13]}, {\"cell\": \"<b>p</b>\", \"bbox\": [444, 3, 451, 13]}, {\"cell\": \"<b>Picker factors</b>\", \"bbox\": [11, 17, 61, 27]}, {\"cell\": \"<b>n</b>\", \"bbox\": [158, 17, 165, 27]}, {\"cell\": \"<b>Mean (STD)</b>\", \"bbox\": [212, 17, 255, 27]}, {\"cell\": \"<b>n</b>\", \"bbox\": [301, 17, 308, 27]}, {\"cell\": \"<b>Mean (STD)</b>\", \"bbox\": [355, 17, 398, 27]}, {\"cell\": \"<b>Value<sup>u</sup></b>\", \"bbox\": [435, 17, 460, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 43, 97, 53]}, {\"cell\": \"1825\", \"bbox\": [152, 43, 171, 53]}, {\"cell\": \"18.09 (27.57)\", \"bbox\": [211, 43, 255, 53]}, {\"cell\": \"1196\", \"bbox\": [295, 43, 314, 53]}, {\"cell\": \"17.11 (26.40)\", \"bbox\": [354, 43, 398, 53]}, {\"cell\": \"0.538\", \"bbox\": [438, 43, 458, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 57, 86, 67]}, {\"cell\": \"1825\", \"bbox\": [152, 57, 171, 67]}, {\"cell\": \"14.85 (25.56)\", \"bbox\": [211, 57, 255, 67]}, {\"cell\": \"1199\", \"bbox\": [295, 57, 314, 67]}, {\"cell\": \"15.19 (25.12)\", \"bbox\": [354, 57, 398, 67]}, {\"cell\": \"0.341\", \"bbox\": [438, 57, 458, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 71, 74, 81]}, {\"cell\": \"1791\", \"bbox\": [152, 71, 171, 81]}, {\"cell\": \"17.52 (30.60)\", \"bbox\": [211, 71, 255, 81]}, {\"cell\": \"1182\", \"bbox\": [295, 71, 314, 81]}, {\"cell\": \"18.63 (31.10)\", \"bbox\": [354, 71, 398, 81]}, {\"cell\": \"0.232\", \"bbox\": [438, 71, 458, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 85, 95, 95]}, {\"cell\": \"1749\", \"bbox\": [152, 85, 171, 95]}, {\"cell\": \"26.30 (36.24)\", \"bbox\": [211, 85, 255, 95]}, {\"cell\": \"1156\", \"bbox\": [295, 85, 314, 95]}, {\"cell\": \"24.22 (35.32)\", \"bbox\": [354, 85, 398, 95]}, {\"cell\": \"0.122\", \"bbox\": [438, 85, 458, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 99, 74, 109]}, {\"cell\": \"1754\", \"bbox\": [152, 99, 171, 109]}, {\"cell\": \"15.04 (25.52)\", \"bbox\": [211, 99, 255, 109]}, {\"cell\": \"1150\", \"bbox\": [295, 99, 314, 109]}, {\"cell\": \"16.30 (26.14)\", \"bbox\": [354, 99, 398, 109]}, {\"cell\": \"0.136\", \"bbox\": [438, 99, 458, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 113, 84, 123]}, {\"cell\": \"1781\", \"bbox\": [152, 113, 171, 123]}, {\"cell\": \"22.94 (37.14)\", \"bbox\": [211, 113, 255, 123]}, {\"cell\": \"1176\", \"bbox\": [295, 113, 314, 123]}, {\"cell\": \"25.13 (39.14)\", \"bbox\": [354, 113, 398, 123]}, {\"cell\": \"0.232\", \"bbox\": [438, 113, 458, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 127, 82, 137]}, {\"cell\": \"1647\", \"bbox\": [152, 127, 171, 137]}, {\"cell\": \"51.08 (42.44)\", \"bbox\": [211, 127, 255, 137]}, {\"cell\": \"1067\", \"bbox\": [295, 127, 314, 137]}, {\"cell\": \"51.55 (42.19)\", \"bbox\": [354, 127, 398, 137]}, {\"cell\": \"0.797\", \"bbox\": [438, 127, 458, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 141, 83, 151]}, {\"cell\": \"1780\", \"bbox\": [152, 141, 171, 151]}, {\"cell\": \"11.46 (29.39)\", \"bbox\": [211, 141, 255, 151]}, {\"cell\": \"1160\", \"bbox\": [295, 141, 314, 151]}, {\"cell\": \"11.38 (29.08)\", \"bbox\": [354, 141, 398, 151]}, {\"cell\": \"0.940\", \"bbox\": [438, 141, 458, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 155, 106, 165]}, {\"cell\": \"1101\", \"bbox\": [153, 155, 171, 165]}, {\"cell\": \"30.61 (40.10)\", \"bbox\": [211, 155, 255, 165]}, {\"cell\": \"757\", \"bbox\": [298, 155, 312, 165]}, {\"cell\": \"32.03 (41.08)\", \"bbox\": [354, 155, 398, 165]}, {\"cell\": \"0.527\", \"bbox\": [438, 155, 458, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 169, 74, 179]}, {\"cell\": \"1290\", \"bbox\": [152, 169, 171, 179]}, {\"cell\": \"24.57 (36.44)\", \"bbox\": [211, 169, 255, 179]}, {\"cell\": \"863\", \"bbox\": [297, 169, 312, 179]}, {\"cell\": \"20.95 (33.58)\", \"bbox\": [354, 169, 398, 179]}, {\"cell\": \"0.055\", \"bbox\": [438, 169, 458, 179]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2877683_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}45{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Chromosome</b></td><td colspan=\\\"2\\\"><b>Jonathan</b></td><td colspan=\\\"2\\\"><b>Golden Delicious</b></td><td colspan=\\\"2\\\"><b>Consensus</b></td></tr><tr><td><b>/linkage group</b></td><td><b>No. of makers</b></td><td><b>Length(cM)</b></td><td><b>No. of makers</b></td><td><b>Length(cM)</b></td><td><b>No. of makers</b></td><td><b>Length(cM)</b></td></tr></thead><tbody><tr><td>1</td><td>70</td><td>[EMPTY_CELL]</td><td>97</td><td>75.4</td><td>159</td><td>86.5</td></tr><tr><td>2</td><td>156</td><td>[EMPTY_CELL]</td><td>96</td><td>41.5</td><td>189</td><td>88.1</td></tr><tr><td>3</td><td>129</td><td>[EMPTY_CELL]</td><td>177</td><td>99.2</td><td>242</td><td>103.8</td></tr><tr><td>4</td><td>145</td><td>[EMPTY_CELL]</td><td>66</td><td>78.3</td><td>180</td><td>85.4</td></tr><tr><td>5</td><td>186</td><td>[EMPTY_CELL]</td><td>116</td><td>121.7</td><td>276</td><td>121.3</td></tr><tr><td>6</td><td>178</td><td>[EMPTY_CELL]</td><td>206</td><td>43.9</td><td>334</td><td>59.6</td></tr><tr><td>7</td><td>152</td><td>[EMPTY_CELL]</td><td>95</td><td>81.1</td><td>240</td><td>92.1</td></tr><tr><td>8</td><td>63</td><td>[EMPTY_CELL]</td><td>191</td><td>96.2</td><td>234</td><td>96.6</td></tr><tr><td>9</td><td>129</td><td>[EMPTY_CELL]</td><td>141</td><td>93.3</td><td>220</td><td>102.9</td></tr><tr><td>10</td><td>123</td><td>[EMPTY_CELL]</td><td>88</td><td>111.9</td><td>198</td><td>109.0</td></tr><tr><td>11</td><td>50</td><td>[EMPTY_CELL]</td><td>105</td><td>127.2</td><td>139</td><td>130.3</td></tr><tr><td>12</td><td>93</td><td>[EMPTY_CELL]</td><td>127</td><td>86.1</td><td>190</td><td>98.6</td></tr><tr><td>13</td><td>73</td><td>[EMPTY_CELL]</td><td>121</td><td>98.0</td><td>174</td><td>98.2</td></tr><tr><td>14</td><td>66</td><td>[EMPTY_CELL]</td><td>86</td><td>100.5</td><td>145</td><td>97.8</td></tr><tr><td>15</td><td>123</td><td>[EMPTY_CELL]</td><td>72</td><td>116.0</td><td>166</td><td>129.3</td></tr><tr><td>16</td><td>219</td><td>[EMPTY_CELL]</td><td>77</td><td>48.4</td><td>234</td><td>52.4</td></tr><tr><td>17</td><td>62</td><td>[EMPTY_CELL]</td><td>71</td><td>97.2</td><td>121</td><td>98.2</td></tr><tr><td>Total</td><td>2017</td><td>[EMPTY_CELL]</td><td>1932</td><td>1516.0</td><td>3441</td><td>1650.2</td></tr><tr><td>Density (cM / maker)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.78</td><td>[EMPTY_CELL]</td><td>0.48</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Chromosome</b>\", \"bbox\": [1, 4, 46, 13]}, {\"cell\": \"<b>Jonathan</b>\", \"bbox\": [96, 4, 128, 13]}, {\"cell\": \"<b>Golden Delicious</b>\", \"bbox\": [235, 4, 291, 13]}, {\"cell\": \"<b>Consensus</b>\", \"bbox\": [373, 4, 409, 13]}, {\"cell\": \"<b>/linkage group</b>\", \"bbox\": [1, 17, 50, 27]}, {\"cell\": \"<b>No. of makers</b>\", \"bbox\": [96, 17, 143, 27]}, {\"cell\": \"<b>Length(cM)</b>\", \"bbox\": [169, 17, 208, 27]}, {\"cell\": \"<b>No. of makers</b>\", \"bbox\": [235, 17, 281, 27]}, {\"cell\": \"<b>Length(cM)</b>\", \"bbox\": [308, 17, 346, 27]}, {\"cell\": \"<b>No. of makers</b>\", \"bbox\": [373, 17, 419, 27]}, {\"cell\": \"<b>Length(cM)</b>\", \"bbox\": [446, 17, 484, 27]}, {\"cell\": \"1\", \"bbox\": [1, 30, 6, 40]}, {\"cell\": \"70\", \"bbox\": [96, 30, 106, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 30, 184, 40]}, {\"cell\": \"97\", \"bbox\": [235, 30, 244, 40]}, {\"cell\": \"75.4\", \"bbox\": [308, 30, 322, 40]}, {\"cell\": \"159\", \"bbox\": [373, 30, 386, 40]}, {\"cell\": \"86.5\", \"bbox\": [446, 30, 461, 40]}, {\"cell\": \"2\", \"bbox\": [1, 44, 6, 54]}, {\"cell\": \"156\", \"bbox\": [96, 44, 110, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 44, 184, 54]}, {\"cell\": \"96\", \"bbox\": [235, 44, 244, 54]}, {\"cell\": \"41.5\", \"bbox\": [308, 44, 322, 54]}, {\"cell\": \"189\", \"bbox\": [373, 44, 386, 54]}, {\"cell\": \"88.1\", \"bbox\": [446, 44, 461, 54]}, {\"cell\": \"3\", \"bbox\": [1, 58, 6, 68]}, {\"cell\": \"129\", \"bbox\": [96, 58, 110, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 58, 184, 68]}, {\"cell\": \"177\", \"bbox\": [235, 58, 248, 68]}, {\"cell\": \"99.2\", \"bbox\": [308, 58, 322, 68]}, {\"cell\": \"242\", \"bbox\": [373, 58, 386, 68]}, {\"cell\": \"103.8\", \"bbox\": [446, 58, 465, 68]}, {\"cell\": \"4\", \"bbox\": [1, 72, 6, 82]}, {\"cell\": \"145\", \"bbox\": [96, 72, 110, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 72, 184, 82]}, {\"cell\": \"66\", \"bbox\": [235, 72, 244, 82]}, {\"cell\": \"78.3\", \"bbox\": [308, 72, 322, 82]}, {\"cell\": \"180\", \"bbox\": [373, 72, 386, 82]}, {\"cell\": \"85.4\", \"bbox\": [446, 72, 461, 82]}, {\"cell\": \"5\", \"bbox\": [1, 86, 6, 96]}, {\"cell\": \"186\", \"bbox\": [96, 86, 110, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 86, 184, 96]}, {\"cell\": \"116\", \"bbox\": [235, 86, 248, 96]}, {\"cell\": \"121.7\", \"bbox\": [308, 86, 326, 96]}, {\"cell\": \"276\", \"bbox\": [373, 86, 386, 96]}, {\"cell\": \"121.3\", \"bbox\": [446, 86, 465, 96]}, {\"cell\": \"6\", \"bbox\": [1, 100, 6, 110]}, {\"cell\": \"178\", \"bbox\": [96, 100, 110, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 100, 184, 110]}, {\"cell\": \"206\", \"bbox\": [235, 100, 248, 110]}, {\"cell\": \"43.9\", \"bbox\": [308, 100, 322, 110]}, {\"cell\": \"334\", \"bbox\": [373, 100, 386, 110]}, {\"cell\": \"59.6\", \"bbox\": [446, 100, 461, 110]}, {\"cell\": \"7\", \"bbox\": [1, 114, 6, 124]}, {\"cell\": \"152\", \"bbox\": [96, 114, 110, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 114, 184, 124]}, {\"cell\": \"95\", \"bbox\": [235, 114, 244, 124]}, {\"cell\": \"81.1\", \"bbox\": [308, 114, 322, 124]}, {\"cell\": \"240\", \"bbox\": [373, 114, 386, 124]}, {\"cell\": \"92.1\", \"bbox\": [446, 114, 461, 124]}, {\"cell\": \"8\", \"bbox\": [1, 128, 6, 138]}, {\"cell\": \"63\", \"bbox\": [96, 128, 106, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 128, 184, 138]}, {\"cell\": \"191\", \"bbox\": [235, 128, 248, 138]}, {\"cell\": \"96.2\", \"bbox\": [308, 128, 322, 138]}, {\"cell\": \"234\", \"bbox\": [373, 128, 386, 138]}, {\"cell\": \"96.6\", \"bbox\": [446, 128, 461, 138]}, {\"cell\": \"9\", \"bbox\": [1, 142, 6, 152]}, {\"cell\": \"129\", \"bbox\": [96, 142, 110, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 142, 184, 152]}, {\"cell\": \"141\", \"bbox\": [235, 142, 248, 152]}, {\"cell\": \"93.3\", \"bbox\": [308, 142, 322, 152]}, {\"cell\": \"220\", \"bbox\": [373, 142, 386, 152]}, {\"cell\": \"102.9\", \"bbox\": [446, 142, 465, 152]}, {\"cell\": \"10\", \"bbox\": [1, 156, 10, 166]}, {\"cell\": \"123\", \"bbox\": [96, 156, 110, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 156, 184, 166]}, {\"cell\": \"88\", \"bbox\": [235, 156, 244, 166]}, {\"cell\": \"111.9\", \"bbox\": [308, 156, 326, 166]}, {\"cell\": \"198\", \"bbox\": [373, 156, 386, 166]}, {\"cell\": \"109.0\", \"bbox\": [446, 156, 465, 166]}, {\"cell\": \"11\", \"bbox\": [1, 170, 10, 180]}, {\"cell\": \"50\", \"bbox\": [96, 170, 106, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 170, 184, 180]}, {\"cell\": \"105\", \"bbox\": [235, 170, 248, 180]}, {\"cell\": \"127.2\", \"bbox\": [308, 170, 326, 180]}, {\"cell\": \"139\", \"bbox\": [373, 170, 386, 180]}, {\"cell\": \"130.3\", \"bbox\": [446, 170, 465, 180]}, {\"cell\": \"12\", \"bbox\": [1, 184, 10, 194]}, {\"cell\": \"93\", \"bbox\": [96, 184, 106, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 184, 184, 194]}, {\"cell\": \"127\", \"bbox\": [235, 184, 248, 194]}, {\"cell\": \"86.1\", \"bbox\": [308, 184, 322, 194]}, {\"cell\": \"190\", \"bbox\": [373, 184, 386, 194]}, {\"cell\": \"98.6\", \"bbox\": [446, 184, 461, 194]}, {\"cell\": \"13\", \"bbox\": [1, 198, 10, 208]}, {\"cell\": \"73\", \"bbox\": [96, 198, 106, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 198, 184, 208]}, {\"cell\": \"121\", \"bbox\": [235, 198, 248, 208]}, {\"cell\": \"98.0\", \"bbox\": [308, 198, 322, 208]}, {\"cell\": \"174\", \"bbox\": [373, 198, 386, 208]}, {\"cell\": \"98.2\", \"bbox\": [446, 198, 461, 208]}, {\"cell\": \"14\", \"bbox\": [1, 212, 10, 222]}, {\"cell\": \"66\", \"bbox\": [96, 212, 106, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 212, 184, 222]}, {\"cell\": \"86\", \"bbox\": [235, 212, 244, 222]}, {\"cell\": \"100.5\", \"bbox\": [308, 212, 326, 222]}, {\"cell\": \"145\", \"bbox\": [373, 212, 386, 222]}, {\"cell\": \"97.8\", \"bbox\": [446, 212, 461, 222]}, {\"cell\": \"15\", \"bbox\": [1, 226, 10, 236]}, {\"cell\": \"123\", \"bbox\": [96, 226, 110, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 226, 184, 236]}, {\"cell\": \"72\", \"bbox\": [235, 226, 244, 236]}, {\"cell\": \"116.0\", \"bbox\": [308, 226, 326, 236]}, {\"cell\": \"166\", \"bbox\": [373, 226, 386, 236]}, {\"cell\": \"129.3\", \"bbox\": [446, 226, 465, 236]}, {\"cell\": \"16\", \"bbox\": [1, 240, 10, 250]}, {\"cell\": \"219\", \"bbox\": [96, 240, 110, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 240, 188, 250]}, {\"cell\": \"77\", \"bbox\": [235, 240, 244, 250]}, {\"cell\": \"48.4\", \"bbox\": [308, 240, 322, 250]}, {\"cell\": \"234\", \"bbox\": [373, 240, 386, 250]}, {\"cell\": \"52.4\", \"bbox\": [446, 240, 461, 250]}, {\"cell\": \"17\", \"bbox\": [1, 254, 10, 264]}, {\"cell\": \"62\", \"bbox\": [96, 254, 106, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 254, 184, 264]}, {\"cell\": \"71\", \"bbox\": [235, 254, 244, 264]}, {\"cell\": \"97.2\", \"bbox\": [308, 254, 322, 264]}, {\"cell\": \"121\", \"bbox\": [373, 254, 386, 264]}, {\"cell\": \"98.2\", \"bbox\": [446, 254, 461, 264]}, {\"cell\": \"Total\", \"bbox\": [1, 268, 18, 278]}, {\"cell\": \"2017\", \"bbox\": [96, 268, 114, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 268, 192, 278]}, {\"cell\": \"1932\", \"bbox\": [235, 268, 252, 278]}, {\"cell\": \"1516.0\", \"bbox\": [308, 268, 330, 278]}, {\"cell\": \"3441\", \"bbox\": [373, 268, 390, 278]}, {\"cell\": \"1650.2\", \"bbox\": [446, 268, 468, 278]}, {\"cell\": \"Density (cM / maker)\", \"bbox\": [1, 282, 69, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 282, 184, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.78\", \"bbox\": [308, 282, 322, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.48\", \"bbox\": [446, 282, 461, 292]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4595315_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}46{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Study characteristic</b></td><td><b>Exploratory trial</b></td><td><b>Explanatory trial</b></td><td><b>Pragmatic trial</b></td></tr></thead><tbody><tr><td>Aim of evaluation</td><td>To explore the impact of the intervention</td><td>[EMPTY_CELL]</td><td>To assess whether the intervention is effective</td></tr><tr><td>Patient population</td><td>Initially those presumed to be most likely to benefit, though later modification is allowed</td><td>[EMPTY_CELL]</td><td>Broad inclusion criteria reflecting variations in clinical practice between centres</td></tr><tr><td>Surgical setting</td><td>Surgeon(s) with substantial generic surgical expertise</td><td>[EMPTY_CELL]</td><td>Surgeons from multiple centres representing different levels of expertise</td></tr><tr><td>Intervention definition</td><td>Freedom to develop and refine</td><td>[EMPTY_CELL]</td><td>Broader definition incorporating variations which reflect clinical practice</td></tr><tr><td>Outcomes of main focus</td><td>Surgical process and short-term clinical outcomes</td><td>[EMPTY_CELL]</td><td>Longer-term clinical and patient-reported outcomes (such as quality of life measures)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study characteristic</b>\", \"bbox\": [4, 4, 72, 14]}, {\"cell\": \"<b>Exploratory trial</b>\", \"bbox\": [95, 4, 152, 14]}, {\"cell\": \"<b>Explanatory trial</b>\", \"bbox\": [233, 4, 290, 14]}, {\"cell\": \"<b>Pragmatic trial</b>\", \"bbox\": [366, 4, 416, 14]}, {\"cell\": \"Aim of evaluation\", \"bbox\": [4, 27, 65, 36]}, {\"cell\": \"To explore the impact of the intervention\", \"bbox\": [95, 27, 194, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 27, 359, 46]}, {\"cell\": \"To assess whether the intervention is effective\", \"bbox\": [367, 27, 494, 46]}, {\"cell\": \"Patient population\", \"bbox\": [4, 46, 67, 56]}, {\"cell\": \"Initially those presumed to be most likely to benefit, though later modification is allowed\", \"bbox\": [95, 46, 215, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 46, 357, 74]}, {\"cell\": \"Broad inclusion criteria reflecting variations in clinical practice between centres\", \"bbox\": [367, 46, 493, 74]}, {\"cell\": \"Surgical setting\", \"bbox\": [4, 75, 56, 85]}, {\"cell\": \"Surgeon(s) with substantial generic surgical expertise\", \"bbox\": [95, 75, 213, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 75, 343, 94]}, {\"cell\": \"Surgeons from multiple centres representing different levels of expertise\", \"bbox\": [367, 75, 474, 103]}, {\"cell\": \"Intervention definition\", \"bbox\": [4, 104, 81, 113]}, {\"cell\": \"Freedom to develop and refine\", \"bbox\": [95, 104, 200, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 104, 325, 123]}, {\"cell\": \"Broader definition incorporating variations which reflect clinical practice\", \"bbox\": [367, 104, 477, 132]}, {\"cell\": \"Outcomes of main focus\", \"bbox\": [4, 132, 89, 142]}, {\"cell\": \"Surgical process and short-term clinical outcomes\", \"bbox\": [94, 132, 226, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 132, 351, 151]}, {\"cell\": \"Longer-term clinical and patient-reported outcomes (such as quality of life measures)\", \"bbox\": [367, 132, 477, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2654883_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}47{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Overall survival</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Hazard ratio</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.54 (0.26-1.11)</td><td>0.095</td></tr><tr><td>[EMPTY_CELL]</td><td>0.53 (0.25-1.09)</td><td>0.08</td></tr><tr><td>[EMPTY_CELL]</td><td>0.91 (0.43-1.9)</td><td>0.8</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.15 (0.08-0.28)</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.35 (0.2-0.62)</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.69 (0.41-1.15)</td><td>0.16</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.25 (0.95-1.65)</td><td>0.1</td></tr><tr><td>[EMPTY_CELL]</td><td>1.02 (0.76-1.36)</td><td>0.86</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.34 (0.86-1.73)</td><td>0.78</td></tr><tr><td>[EMPTY_CELL]</td><td>1.52 (1.2-1.81)</td><td>0.41</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2.41 (1.07-2.86)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.34 (1.02-2.15)</td><td>0.009</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.19 (0.93-1.5)</td><td>0.156</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.07 (0.81-1.43)</td><td>0.609</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.97 (1.2-3.1)</td><td>0.003</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Overall survival</b>\", \"bbox\": [131, 4, 186, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Hazard ratio</b>\", \"bbox\": [131, 17, 176, 27]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [213, 17, 219, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 55, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 40, 54]}, {\"cell\": \"0.54 (0.26-1.11)\", \"bbox\": [131, 44, 180, 54]}, {\"cell\": \"0.095\", \"bbox\": [213, 44, 232, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 42, 68]}, {\"cell\": \"0.53 (0.25-1.09)\", \"bbox\": [131, 58, 180, 68]}, {\"cell\": \"0.08\", \"bbox\": [213, 58, 228, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 40, 82]}, {\"cell\": \"0.91 (0.43-1.9)\", \"bbox\": [131, 72, 176, 82]}, {\"cell\": \"0.8\", \"bbox\": [213, 72, 224, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 53, 96]}, {\"cell\": \"1\", \"bbox\": [131, 86, 137, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 46, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 4, 124]}, {\"cell\": \"0.15 (0.08-0.28)\", \"bbox\": [131, 114, 180, 124]}, {\"cell\": \"<0.001\", \"bbox\": [213, 114, 236, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 6, 138]}, {\"cell\": \"0.35 (0.2-0.62)\", \"bbox\": [131, 128, 176, 138]}, {\"cell\": \"<0.001\", \"bbox\": [213, 128, 236, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 7, 152]}, {\"cell\": \"0.69 (0.41-1.15)\", \"bbox\": [131, 142, 180, 152]}, {\"cell\": \"0.16\", \"bbox\": [213, 142, 228, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 8, 166]}, {\"cell\": \"1\", \"bbox\": [131, 156, 137, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 63, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 35, 193]}, {\"cell\": \"1.25 (0.95-1.65)\", \"bbox\": [131, 184, 180, 193]}, {\"cell\": \"0.1\", \"bbox\": [213, 184, 224, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 35, 207]}, {\"cell\": \"1.02 (0.76-1.36)\", \"bbox\": [131, 198, 180, 207]}, {\"cell\": \"0.86\", \"bbox\": [213, 198, 228, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 35, 222]}, {\"cell\": \"1\", \"bbox\": [131, 212, 137, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 73, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 24, 250]}, {\"cell\": \"1.34 (0.86-1.73)\", \"bbox\": [131, 240, 180, 250]}, {\"cell\": \"0.78\", \"bbox\": [213, 240, 228, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 47, 264]}, {\"cell\": \"1.52 (1.2-1.81)\", \"bbox\": [131, 254, 176, 264]}, {\"cell\": \"0.41\", \"bbox\": [213, 254, 228, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 268, 31, 278]}, {\"cell\": \"1\", \"bbox\": [131, 268, 137, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 282, 83, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 296, 15, 306]}, {\"cell\": \"2.41 (1.07-2.86)\", \"bbox\": [131, 296, 180, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 310, 20, 320]}, {\"cell\": \"1.34 (1.02-2.15)\", \"bbox\": [131, 310, 180, 320]}, {\"cell\": \"0.009\", \"bbox\": [213, 310, 232, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 324, 15, 334]}, {\"cell\": \"1\", \"bbox\": [131, 324, 137, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 338, 98, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 13, 362]}, {\"cell\": \"1.19 (0.93-1.5)\", \"bbox\": [131, 352, 176, 362]}, {\"cell\": \"0.156\", \"bbox\": [213, 352, 232, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 366, 12, 376]}, {\"cell\": \"1\", \"bbox\": [131, 366, 137, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 380, 83, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 394, 13, 404]}, {\"cell\": \"1.07 (0.81-1.43)\", \"bbox\": [131, 394, 180, 404]}, {\"cell\": \"0.609\", \"bbox\": [213, 394, 232, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 408, 12, 418]}, {\"cell\": \"1\", \"bbox\": [131, 408, 137, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 422, 50, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 436, 21, 445]}, {\"cell\": \"1.97 (1.2-3.1)\", \"bbox\": [131, 436, 173, 445]}, {\"cell\": \"0.003\", \"bbox\": [213, 436, 232, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 450, 10, 459]}, {\"cell\": \"1\", \"bbox\": [131, 450, 137, 459]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4114092_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}48{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"4\\\"><b>Model 1</b></td><td colspan=\\\"4\\\"><b>Model 2</b></td></tr><tr><td><b>Variables</b></td><td><b>Odds ratio</b></td><td><b>95% CI</b></td><td><b><i>P</i> value</b></td><td><b>Variables</b></td><td><b>Odds ratio</b></td><td><b>95% CI</b></td><td><b><i>P</i> value</b></td></tr><tr><td><b>Fluid intake level 1 (≤29)</b></td><td colspan=\\\"3\\\"><b>Reference</b></td><td><b>Fluid balance level 1 (–19 ~ 0)</b></td><td colspan=\\\"3\\\"><b>Reference</b></td></tr></thead><tbody><tr><td>Level 2 (30 ~ 59)</td><td>0.73</td><td>0.56–0.96</td><td>0.024</td><td>[EMPTY_CELL]</td><td>0.88</td><td>0.69–1.11</td><td>0.286</td></tr><tr><td>Level 3 (60 ~ 89)</td><td>0.61</td><td>0.43–0.85</td><td>0.004</td><td>[EMPTY_CELL]</td><td>0.79</td><td>0. 65–1.11</td><td>0.181</td></tr><tr><td>Level 4 (>90)</td><td>0.47</td><td>0.30–0.74</td><td>0.001</td><td>[EMPTY_CELL]</td><td>0.56</td><td>0. 33–0.95</td><td>0.034</td></tr><tr><td>Diuretics</td><td>1.36</td><td>1.09–1.68</td><td>0.005</td><td>[EMPTY_CELL]</td><td>1.50</td><td>1.21–1.86</td><td><0.001</td></tr><tr><td>Blood products</td><td>1.51</td><td>1.19–1.91</td><td>0.001</td><td>[EMPTY_CELL]</td><td>1.36</td><td>1.08–1.72</td><td>0.009</td></tr><tr><td>Weight</td><td>0.98</td><td>0.98–0.99</td><td><0.001</td><td>[EMPTY_CELL]</td><td>0.99</td><td>0.98–0.99</td><td><0.001</td></tr><tr><td>Maximum WBC</td><td>1.03</td><td>1.02–1.05</td><td><0.001</td><td>[EMPTY_CELL]</td><td>1.03</td><td>1.01–1.04</td><td><.0001</td></tr><tr><td>Maximum SOFA score</td><td>1.11</td><td>1.08–1.14</td><td><0.001</td><td>[EMPTY_CELL]</td><td>1.11</td><td>1.07–1.13</td><td><0.001</td></tr><tr><td>Maximum serum creatinine</td><td>1.15</td><td>1.08–1.22</td><td><0.001</td><td>[EMPTY_CELL]</td><td>1.18</td><td>1.11–1.26</td><td><0.001</td></tr><tr><td>MICU</td><td>1.74</td><td>1.35–2.24</td><td><0.001</td><td>[EMPTY_CELL]</td><td>1.89</td><td>1.48–2.42</td><td><0.001</td></tr><tr><td>CCU</td><td>2.11</td><td>1.61–2.77</td><td><0.001</td><td>[EMPTY_CELL]</td><td>2.29</td><td>1.75–2.99</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Model 1</b>\", \"bbox\": [1, 4, 29, 13]}, {\"cell\": \"<b>Model 2</b>\", \"bbox\": [245, 4, 274, 13]}, {\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 17, 30, 26]}, {\"cell\": \"<b>Odds ratio</b>\", \"bbox\": [106, 17, 141, 26]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [157, 17, 181, 26]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [204, 17, 229, 26]}, {\"cell\": \"<b>Variables</b>\", \"bbox\": [245, 17, 275, 26]}, {\"cell\": \"<b>Odds ratio</b>\", \"bbox\": [359, 17, 394, 26]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [410, 17, 434, 26]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [459, 17, 484, 26]}, {\"cell\": \"<b>Fluid intake level 1 (≤29)</b>\", \"bbox\": [1, 30, 82, 40]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [106, 30, 139, 40]}, {\"cell\": \"<b>Fluid balance level 1 (–19 ~ 0)</b>\", \"bbox\": [245, 30, 343, 40]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [359, 30, 392, 40]}, {\"cell\": \"Level 2 (30 ~ 59)\", \"bbox\": [1, 43, 55, 53]}, {\"cell\": \"0.73\", \"bbox\": [106, 43, 121, 53]}, {\"cell\": \"0.56–0.96\", \"bbox\": [157, 43, 189, 53]}, {\"cell\": \"0.024\", \"bbox\": [204, 43, 223, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 43, 308, 53]}, {\"cell\": \"0.88\", \"bbox\": [359, 43, 373, 53]}, {\"cell\": \"0.69–1.11\", \"bbox\": [410, 43, 441, 53]}, {\"cell\": \"0.286\", \"bbox\": [459, 43, 478, 53]}, {\"cell\": \"Level 3 (60 ~ 89)\", \"bbox\": [1, 57, 55, 67]}, {\"cell\": \"0.61\", \"bbox\": [106, 57, 121, 67]}, {\"cell\": \"0.43–0.85\", \"bbox\": [157, 57, 189, 67]}, {\"cell\": \"0.004\", \"bbox\": [204, 57, 223, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 57, 308, 67]}, {\"cell\": \"0.79\", \"bbox\": [359, 57, 373, 67]}, {\"cell\": \"0. 65–1.11\", \"bbox\": [410, 57, 444, 67]}, {\"cell\": \"0.181\", \"bbox\": [459, 57, 478, 67]}, {\"cell\": \"Level 4 (>90)\", \"bbox\": [1, 71, 44, 81]}, {\"cell\": \"0.47\", \"bbox\": [106, 71, 121, 81]}, {\"cell\": \"0.30–0.74\", \"bbox\": [157, 71, 189, 81]}, {\"cell\": \"0.001\", \"bbox\": [204, 71, 223, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 71, 296, 81]}, {\"cell\": \"0.56\", \"bbox\": [359, 71, 373, 81]}, {\"cell\": \"0. 33–0.95\", \"bbox\": [410, 71, 444, 81]}, {\"cell\": \"0.034\", \"bbox\": [459, 71, 478, 81]}, {\"cell\": \"Diuretics\", \"bbox\": [1, 85, 30, 95]}, {\"cell\": \"1.36\", \"bbox\": [106, 85, 121, 95]}, {\"cell\": \"1.09–1.68\", \"bbox\": [157, 85, 189, 95]}, {\"cell\": \"0.005\", \"bbox\": [204, 85, 223, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 85, 288, 95]}, {\"cell\": \"1.50\", \"bbox\": [359, 85, 373, 95]}, {\"cell\": \"1.21–1.86\", \"bbox\": [410, 85, 441, 95]}, {\"cell\": \"<0.001\", \"bbox\": [459, 85, 483, 95]}, {\"cell\": \"Blood products\", \"bbox\": [1, 99, 52, 109]}, {\"cell\": \"1.51\", \"bbox\": [106, 99, 121, 109]}, {\"cell\": \"1.19–1.91\", \"bbox\": [157, 99, 189, 109]}, {\"cell\": \"0.001\", \"bbox\": [204, 99, 223, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 99, 293, 109]}, {\"cell\": \"1.36\", \"bbox\": [359, 99, 373, 109]}, {\"cell\": \"1.08–1.72\", \"bbox\": [410, 99, 441, 109]}, {\"cell\": \"0.009\", \"bbox\": [459, 99, 478, 109]}, {\"cell\": \"Weight\", \"bbox\": [1, 113, 25, 123]}, {\"cell\": \"0.98\", \"bbox\": [106, 113, 121, 123]}, {\"cell\": \"0.98–0.99\", \"bbox\": [157, 113, 189, 123]}, {\"cell\": \"<0.001\", \"bbox\": [204, 113, 228, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 113, 270, 123]}, {\"cell\": \"0.99\", \"bbox\": [359, 113, 373, 123]}, {\"cell\": \"0.98–0.99\", \"bbox\": [410, 113, 441, 123]}, {\"cell\": \"<0.001\", \"bbox\": [459, 113, 483, 123]}, {\"cell\": \"Maximum WBC\", \"bbox\": [1, 127, 52, 137]}, {\"cell\": \"1.03\", \"bbox\": [106, 127, 121, 137]}, {\"cell\": \"1.02–1.05\", \"bbox\": [157, 127, 189, 137]}, {\"cell\": \"<0.001\", \"bbox\": [204, 127, 228, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 127, 296, 137]}, {\"cell\": \"1.03\", \"bbox\": [359, 127, 373, 137]}, {\"cell\": \"1.01–1.04\", \"bbox\": [410, 127, 441, 137]}, {\"cell\": \"<.0001\", \"bbox\": [459, 127, 483, 137]}, {\"cell\": \"Maximum SOFA score\", \"bbox\": [1, 141, 73, 151]}, {\"cell\": \"1.11\", \"bbox\": [106, 141, 121, 151]}, {\"cell\": \"1.08–1.14\", \"bbox\": [157, 141, 189, 151]}, {\"cell\": \"<0.001\", \"bbox\": [204, 141, 228, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 141, 299, 151]}, {\"cell\": \"1.11\", \"bbox\": [359, 141, 373, 151]}, {\"cell\": \"1.07–1.13\", \"bbox\": [410, 141, 441, 151]}, {\"cell\": \"<0.001\", \"bbox\": [459, 141, 483, 151]}, {\"cell\": \"Maximum serum creatinine\", \"bbox\": [1, 155, 90, 165]}, {\"cell\": \"1.15\", \"bbox\": [106, 155, 121, 165]}, {\"cell\": \"1.08–1.22\", \"bbox\": [157, 155, 189, 165]}, {\"cell\": \"<0.001\", \"bbox\": [204, 155, 228, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 155, 335, 165]}, {\"cell\": \"1.18\", \"bbox\": [359, 155, 373, 165]}, {\"cell\": \"1.11–1.26\", \"bbox\": [410, 155, 441, 165]}, {\"cell\": \"<0.001\", \"bbox\": [459, 155, 483, 165]}, {\"cell\": \"MICU\", \"bbox\": [1, 169, 20, 179]}, {\"cell\": \"1.74\", \"bbox\": [106, 169, 121, 179]}, {\"cell\": \"1.35–2.24\", \"bbox\": [157, 169, 189, 179]}, {\"cell\": \"<0.001\", \"bbox\": [204, 169, 228, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 169, 264, 179]}, {\"cell\": \"1.89\", \"bbox\": [359, 169, 373, 179]}, {\"cell\": \"1.48–2.42\", \"bbox\": [410, 169, 441, 179]}, {\"cell\": \"<0.001\", \"bbox\": [459, 169, 483, 179]}, {\"cell\": \"CCU\", \"bbox\": [1, 183, 17, 193]}, {\"cell\": \"2.11\", \"bbox\": [106, 183, 121, 193]}, {\"cell\": \"1.61–2.77\", \"bbox\": [157, 183, 189, 193]}, {\"cell\": \"<0.001\", \"bbox\": [204, 183, 228, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 183, 261, 193]}, {\"cell\": \"2.29\", \"bbox\": [359, 183, 373, 193]}, {\"cell\": \"1.75–2.99\", \"bbox\": [410, 183, 441, 193]}, {\"cell\": \"<0.001\", \"bbox\": [459, 183, 483, 193]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5427534_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}49{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Composite genome</b></td><td><b>Sample(s)</b></td><td><b>Sequence (Mb)</b></td><td><b>Coverage*</b></td><td><b>G+C content</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>I-plasma<sup>†</sup></td><td>UBA, UBA BS</td><td>[EMPTY_CELL]</td><td>20×</td><td>44</td><td>This study</td></tr><tr><td>E-plasma</td><td>UBA, UBA BS</td><td>[EMPTY_CELL]</td><td>9×</td><td>38</td><td>This study</td></tr><tr><td>A-plasma</td><td>UBA, UBA BS, UBA filtrate</td><td>[EMPTY_CELL]</td><td>8×</td><td>46</td><td>This study</td></tr><tr><td>G-plasma</td><td>5-way, UBA</td><td>[EMPTY_CELL]</td><td>8×</td><td>38</td><td>This study</td></tr><tr><td><i>Leptospirillum </i>group II<sup>†</sup></td><td>UBA</td><td>[EMPTY_CELL]</td><td>25×</td><td>55</td><td>[55]</td></tr><tr><td><i>Leptospirillum </i>group II<sup>‡</sup></td><td>5-way</td><td>[EMPTY_CELL]</td><td>20×</td><td>55</td><td>[9]</td></tr><tr><td><i>Leptospirillum </i>group III<sup>†</sup></td><td>UBA</td><td>[EMPTY_CELL]</td><td>10×</td><td>58</td><td>[56]</td></tr><tr><td><i>Ferroplasma acidarmanus </i>fer1<sup>†</sup></td><td>5-way</td><td>[EMPTY_CELL]</td><td>NA</td><td>37</td><td>[8]</td></tr><tr><td><i>Ferroplasma </i>fer1(env)</td><td>5-way</td><td>[EMPTY_CELL]</td><td>4.5×</td><td>36</td><td>[8]</td></tr><tr><td><i>Ferroplasma </i>fer2(env)</td><td>5-way</td><td>[EMPTY_CELL]</td><td>10×</td><td>37</td><td>[10]</td></tr><tr><td>ARMAN-2<sup>†</sup></td><td>UBA, UBA BS</td><td>[EMPTY_CELL]</td><td>15×</td><td>47</td><td>Baker <i>et al</i>., submitted</td></tr><tr><td>ARMAN-4</td><td>UBA filtrate</td><td>[EMPTY_CELL]</td><td>8×</td><td>35</td><td>Baker <i>et al</i>., submitted</td></tr><tr><td>ARMAN-5</td><td>UBA filtrate</td><td>[EMPTY_CELL]</td><td>8×</td><td>35</td><td>Baker <i>et al</i>., submitted</td></tr><tr><td>Viral genomes</td><td>UBA, UBA BS</td><td>[EMPTY_CELL]</td><td>Variable</td><td>Variable</td><td>[12]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Composite genome</b>\", \"bbox\": [0, 13, 78, 23]}, {\"cell\": \"<b>Sample(s)</b>\", \"bbox\": [116, 13, 157, 23]}, {\"cell\": \"<b>Sequence (Mb)</b>\", \"bbox\": [228, 13, 288, 23]}, {\"cell\": \"<b>Coverage*</b>\", \"bbox\": [299, 13, 342, 23]}, {\"cell\": \"<b>G+C content</b>\", \"bbox\": [353, 13, 405, 23]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [435, 13, 476, 23]}, {\"cell\": \"I-plasma<sup>†</sup>\", \"bbox\": [0, 30, 33, 40]}, {\"cell\": \"UBA, UBA BS\", \"bbox\": [116, 31, 165, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 31, 266, 40]}, {\"cell\": \"20×\", \"bbox\": [313, 31, 328, 40]}, {\"cell\": \"44\", \"bbox\": [374, 31, 384, 40]}, {\"cell\": \"This study\", \"bbox\": [437, 31, 473, 40]}, {\"cell\": \"E-plasma\", \"bbox\": [0, 43, 32, 53]}, {\"cell\": \"UBA, UBA BS\", \"bbox\": [116, 43, 165, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 43, 266, 53]}, {\"cell\": \"9×\", \"bbox\": [315, 43, 326, 53]}, {\"cell\": \"38\", \"bbox\": [374, 43, 384, 53]}, {\"cell\": \"This study\", \"bbox\": [437, 43, 473, 53]}, {\"cell\": \"A-plasma\", \"bbox\": [0, 55, 33, 65]}, {\"cell\": \"UBA, UBA BS, UBA filtrate\", \"bbox\": [116, 55, 209, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 55, 266, 65]}, {\"cell\": \"8×\", \"bbox\": [315, 55, 326, 65]}, {\"cell\": \"46\", \"bbox\": [374, 55, 384, 65]}, {\"cell\": \"This study\", \"bbox\": [437, 55, 473, 65]}, {\"cell\": \"G-plasma\", \"bbox\": [0, 68, 34, 78]}, {\"cell\": \"5-way, UBA\", \"bbox\": [116, 68, 158, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 68, 266, 78]}, {\"cell\": \"8×\", \"bbox\": [315, 68, 326, 78]}, {\"cell\": \"38\", \"bbox\": [374, 68, 384, 78]}, {\"cell\": \"This study\", \"bbox\": [437, 68, 474, 78]}, {\"cell\": \"<i>Leptospirillum </i>group II<sup>†</sup>\", \"bbox\": [0, 80, 76, 90]}, {\"cell\": \"UBA\", \"bbox\": [116, 80, 134, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 80, 266, 90]}, {\"cell\": \"25×\", \"bbox\": [313, 80, 328, 90]}, {\"cell\": \"55\", \"bbox\": [374, 80, 384, 90]}, {\"cell\": \"[55]\", \"bbox\": [448, 80, 463, 90]}, {\"cell\": \"<i>Leptospirillum </i>group II<sup>‡</sup>\", \"bbox\": [0, 93, 76, 103]}, {\"cell\": \"5-way\", \"bbox\": [116, 93, 138, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 93, 266, 103]}, {\"cell\": \"20×\", \"bbox\": [313, 93, 328, 103]}, {\"cell\": \"55\", \"bbox\": [374, 93, 384, 103]}, {\"cell\": \"[9]\", \"bbox\": [450, 93, 461, 103]}, {\"cell\": \"<i>Leptospirillum </i>group III<sup>†</sup>\", \"bbox\": [0, 105, 78, 115]}, {\"cell\": \"UBA\", \"bbox\": [116, 105, 134, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 105, 266, 115]}, {\"cell\": \"10×\", \"bbox\": [313, 105, 328, 115]}, {\"cell\": \"58\", \"bbox\": [374, 105, 384, 115]}, {\"cell\": \"[56]\", \"bbox\": [448, 105, 463, 115]}, {\"cell\": \"<i>Ferroplasma acidarmanus </i>fer1<sup>†</sup>\", \"bbox\": [0, 117, 101, 127]}, {\"cell\": \"5-way\", \"bbox\": [116, 118, 138, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 118, 266, 127]}, {\"cell\": \"NA\", \"bbox\": [313, 118, 327, 127]}, {\"cell\": \"37\", \"bbox\": [374, 118, 384, 127]}, {\"cell\": \"[8]\", \"bbox\": [450, 118, 461, 127]}, {\"cell\": \"<i>Ferroplasma </i>fer1(env)\", \"bbox\": [1, 130, 73, 140]}, {\"cell\": \"5-way\", \"bbox\": [116, 130, 138, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 130, 266, 140]}, {\"cell\": \"4.5×\", \"bbox\": [312, 130, 329, 140]}, {\"cell\": \"36\", \"bbox\": [374, 130, 384, 140]}, {\"cell\": \"[8]\", \"bbox\": [450, 130, 461, 140]}, {\"cell\": \"<i>Ferroplasma </i>fer2(env)\", \"bbox\": [1, 143, 73, 152]}, {\"cell\": \"5-way\", \"bbox\": [116, 143, 138, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 143, 266, 152]}, {\"cell\": \"10×\", \"bbox\": [313, 143, 328, 152]}, {\"cell\": \"37\", \"bbox\": [374, 143, 384, 152]}, {\"cell\": \"[10]\", \"bbox\": [448, 143, 463, 152]}, {\"cell\": \"ARMAN-2<sup>†</sup>\", \"bbox\": [1, 155, 41, 165]}, {\"cell\": \"UBA, UBA BS\", \"bbox\": [116, 155, 165, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 155, 264, 165]}, {\"cell\": \"15×\", \"bbox\": [313, 155, 328, 165]}, {\"cell\": \"47\", \"bbox\": [374, 155, 384, 165]}, {\"cell\": \"Baker <i>et al</i>., submitted\", \"bbox\": [417, 155, 494, 165]}, {\"cell\": \"ARMAN-4\", \"bbox\": [0, 168, 38, 177]}, {\"cell\": \"UBA filtrate\", \"bbox\": [116, 168, 159, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 168, 266, 177]}, {\"cell\": \"8×\", \"bbox\": [315, 168, 326, 177]}, {\"cell\": \"35\", \"bbox\": [374, 168, 384, 177]}, {\"cell\": \"Baker <i>et al</i>., submitted\", \"bbox\": [417, 168, 494, 177]}, {\"cell\": \"ARMAN-5\", \"bbox\": [1, 180, 38, 190]}, {\"cell\": \"UBA filtrate\", \"bbox\": [116, 180, 159, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 180, 266, 190]}, {\"cell\": \"8×\", \"bbox\": [315, 180, 326, 190]}, {\"cell\": \"35\", \"bbox\": [374, 180, 384, 190]}, {\"cell\": \"Baker <i>et al</i>., submitted\", \"bbox\": [417, 180, 494, 190]}, {\"cell\": \"Viral genomes\", \"bbox\": [1, 192, 50, 202]}, {\"cell\": \"UBA, UBA BS\", \"bbox\": [116, 192, 165, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 192, 272, 202]}, {\"cell\": \"Variable\", \"bbox\": [306, 192, 335, 202]}, {\"cell\": \"Variable\", \"bbox\": [364, 192, 393, 202]}, {\"cell\": \"[12]\", \"bbox\": [448, 192, 463, 202]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2745766_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}50{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Targeted Molecular Pathway</b></td><td><b>Therapy</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Omega-3 FTY720 Utrophin upregulation Exon skipping Cell based</td></tr><tr><td>[EMPTY_CELL]</td><td>Corticosteroids NF-κb inhibition TGFβ inhibition Antioxidants</td></tr><tr><td>[EMPTY_CELL]</td><td>AICAR Metformin Exercise Antioxidants</td></tr><tr><td>[EMPTY_CELL]</td><td>Losartan TGFβ inhibition</td></tr><tr><td>[EMPTY_CELL]</td><td>Cell based</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Targeted Molecular Pathway</b>\", \"bbox\": [65, 5, 184, 16]}, {\"cell\": \"<b>Therapy</b>\", \"bbox\": [304, 5, 341, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 43, 233, 54]}, {\"cell\": \"Omega-3 FTY720 Utrophin upregulation Exon skipping Cell based\", \"bbox\": [276, 21, 369, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [78, 97, 171, 108]}, {\"cell\": \"Corticosteroids NF-κb inhibition TGFβ inhibition Antioxidants\", \"bbox\": [288, 80, 357, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [60, 145, 190, 156]}, {\"cell\": \"AICAR Metformin Exercise Antioxidants\", \"bbox\": [295, 129, 349, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 183, 159, 194]}, {\"cell\": \"Losartan TGFβ inhibition\", \"bbox\": [289, 178, 355, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 204, 187, 215]}, {\"cell\": \"Cell based\", \"bbox\": [301, 204, 344, 215]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6024668_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}51{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Definition</b></td><td><b>Number</b></td><td><b>Mean/%</b></td><td><b>Min</b></td><td><b>Max</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b><i>Marital Status</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Widowed</td><td>478</td><td>14.29</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>Married or cohabited</td><td>1914</td><td>57.22</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>Divorced or separated</td><td>585</td><td>20.40</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>Never married</td><td>368</td><td>11.00</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Other Covariates</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Sedentary</td><td>421</td><td>12.81</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>Smoking</td><td>874</td><td>26.14</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>Has health care</td><td>2794</td><td>83.63</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>At risk of having heart problems</td><td>1251</td><td>37.43</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>At risk of having asthma</td><td>300</td><td>8.98</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>At risk of high alcohol consumption</td><td>89</td><td>2.68</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>Fruit and vegetable index **</td><td>3349</td><td>2.70</td><td>1.00</td><td>4.00</td></tr><tr><td>[EMPTY_CELL]</td><td>Living in Depressed county</td><td>587</td><td>23.07</td><td>0.00</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>Average travel time (minutes) to work *</td><td>2544</td><td>25.42</td><td>19.50</td><td>36.80</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [7, 2, 46, 16]}, {\"cell\": \"<b>Definition</b>\", \"bbox\": [85, 2, 130, 16]}, {\"cell\": \"<b>Number</b>\", \"bbox\": [301, 2, 338, 16]}, {\"cell\": \"<b>Mean/%</b>\", \"bbox\": [352, 2, 391, 16]}, {\"cell\": \"<b>Min</b>\", \"bbox\": [418, 2, 438, 16]}, {\"cell\": \"<b>Max</b>\", \"bbox\": [471, 2, 493, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>Marital Status</i></b>\", \"bbox\": [85, 22, 146, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 45, 46, 58]}, {\"cell\": \"Widowed\", \"bbox\": [85, 45, 126, 58]}, {\"cell\": \"478\", \"bbox\": [321, 45, 338, 58]}, {\"cell\": \"14.29\", \"bbox\": [370, 45, 395, 58]}, {\"cell\": \"0.00\", \"bbox\": [418, 45, 438, 58]}, {\"cell\": \"1.00\", \"bbox\": [473, 45, 493, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 68, 37, 82]}, {\"cell\": \"Married or cohabited\", \"bbox\": [85, 68, 172, 82]}, {\"cell\": \"1914\", \"bbox\": [316, 68, 338, 82]}, {\"cell\": \"57.22\", \"bbox\": [370, 68, 395, 82]}, {\"cell\": \"0.00\", \"bbox\": [418, 68, 438, 82]}, {\"cell\": \"1.00\", \"bbox\": [473, 68, 493, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 92, 44, 105]}, {\"cell\": \"Divorced or separated\", \"bbox\": [85, 92, 176, 105]}, {\"cell\": \"585\", \"bbox\": [321, 92, 338, 105]}, {\"cell\": \"20.40\", \"bbox\": [370, 92, 395, 105]}, {\"cell\": \"0.00\", \"bbox\": [418, 92, 438, 105]}, {\"cell\": \"1.00\", \"bbox\": [473, 92, 493, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 115, 49, 128]}, {\"cell\": \"Never married\", \"bbox\": [85, 115, 145, 128]}, {\"cell\": \"368\", \"bbox\": [321, 115, 338, 128]}, {\"cell\": \"11.00\", \"bbox\": [370, 115, 395, 128]}, {\"cell\": \"0.00\", \"bbox\": [418, 115, 438, 128]}, {\"cell\": \"1.00\", \"bbox\": [473, 115, 493, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Other Covariates</b>\", \"bbox\": [85, 138, 161, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 162, 47, 175]}, {\"cell\": \"Sedentary\", \"bbox\": [85, 162, 127, 175]}, {\"cell\": \"421\", \"bbox\": [321, 162, 338, 175]}, {\"cell\": \"12.81\", \"bbox\": [370, 162, 395, 175]}, {\"cell\": \"0.00\", \"bbox\": [418, 162, 438, 175]}, {\"cell\": \"1.00\", \"bbox\": [473, 162, 493, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 186, 55, 199]}, {\"cell\": \"Smoking\", \"bbox\": [85, 186, 123, 199]}, {\"cell\": \"874\", \"bbox\": [321, 186, 338, 199]}, {\"cell\": \"26.14\", \"bbox\": [370, 186, 395, 199]}, {\"cell\": \"0.00\", \"bbox\": [418, 186, 438, 199]}, {\"cell\": \"1.00\", \"bbox\": [473, 186, 493, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 209, 43, 222]}, {\"cell\": \"Has health care\", \"bbox\": [85, 209, 149, 222]}, {\"cell\": \"2794\", \"bbox\": [316, 209, 338, 222]}, {\"cell\": \"83.63\", \"bbox\": [370, 209, 395, 222]}, {\"cell\": \"0.00\", \"bbox\": [418, 209, 438, 222]}, {\"cell\": \"1.00\", \"bbox\": [473, 209, 493, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 232, 49, 246]}, {\"cell\": \"At risk of having heart problems\", \"bbox\": [85, 232, 218, 246]}, {\"cell\": \"1251\", \"bbox\": [316, 232, 338, 246]}, {\"cell\": \"37.43\", \"bbox\": [370, 232, 395, 246]}, {\"cell\": \"0.00\", \"bbox\": [418, 232, 438, 246]}, {\"cell\": \"1.00\", \"bbox\": [473, 232, 493, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 256, 58, 269]}, {\"cell\": \"At risk of having asthma\", \"bbox\": [85, 256, 186, 269]}, {\"cell\": \"300\", \"bbox\": [321, 256, 338, 269]}, {\"cell\": \"8.98\", \"bbox\": [375, 256, 395, 269]}, {\"cell\": \"0.00\", \"bbox\": [418, 256, 438, 269]}, {\"cell\": \"1.00\", \"bbox\": [473, 256, 493, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 279, 49, 292]}, {\"cell\": \"At risk of high alcohol consumption\", \"bbox\": [85, 279, 232, 292]}, {\"cell\": \"89\", \"bbox\": [326, 279, 338, 292]}, {\"cell\": \"2.68\", \"bbox\": [375, 279, 395, 292]}, {\"cell\": \"0.00\", \"bbox\": [418, 279, 438, 292]}, {\"cell\": \"1.00\", \"bbox\": [473, 279, 493, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 303, 52, 316]}, {\"cell\": \"Fruit and vegetable index **\", \"bbox\": [85, 303, 202, 316]}, {\"cell\": \"3349\", \"bbox\": [316, 303, 338, 316]}, {\"cell\": \"2.70\", \"bbox\": [375, 303, 395, 316]}, {\"cell\": \"1.00\", \"bbox\": [418, 303, 438, 316]}, {\"cell\": \"4.00\", \"bbox\": [473, 303, 493, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 326, 45, 339]}, {\"cell\": \"Living in Depressed county\", \"bbox\": [85, 326, 198, 339]}, {\"cell\": \"587\", \"bbox\": [321, 326, 338, 339]}, {\"cell\": \"23.07\", \"bbox\": [370, 326, 395, 339]}, {\"cell\": \"0.00\", \"bbox\": [418, 326, 438, 339]}, {\"cell\": \"1.00\", \"bbox\": [473, 326, 493, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 349, 35, 363]}, {\"cell\": \"Average travel time (minutes) to work *\", \"bbox\": [85, 349, 249, 363]}, {\"cell\": \"2544\", \"bbox\": [316, 349, 338, 363]}, {\"cell\": \"25.42\", \"bbox\": [370, 349, 395, 363]}, {\"cell\": \"19.50\", \"bbox\": [413, 349, 438, 363]}, {\"cell\": \"36.80\", \"bbox\": [468, 349, 493, 363]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2738887_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}52{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Vegan diet n = 30</b></td><td><b>Non-vegan diet n = 28</b></td><td><b><i>P </i>value</b></td></tr></thead><tbody><tr><td>Patients, female/male, n</td><td>28/2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age in years, mean (CI)</td><td>49.9 (46.6–53.3)</td><td>[EMPTY_CELL]</td><td>0.75</td></tr><tr><td>Disease duration in years, mean (CI)</td><td>5.0 (4.1–6.0)</td><td>[EMPTY_CELL]</td><td>0.31</td></tr><tr><td>Rheumatoid factor-positive, n (%)</td><td>25 (83)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Body mass index, kg/m<sup>2</sup>, mean (CI)</td><td>24.1 (22.3–25.9)</td><td>[EMPTY_CELL]</td><td>0.81</td></tr><tr><td>Weight, kg, mean (CI)</td><td>66.4 (61.7–71,1)</td><td>[EMPTY_CELL]</td><td>0.70</td></tr><tr><td>DAS28, mean (CI)</td><td>5.3 (5.0–5.7)</td><td>[EMPTY_CELL]</td><td>0.80</td></tr><tr><td>HAQ score, mean (CI)</td><td>1.4 (1.2–1.5)</td><td>[EMPTY_CELL]</td><td>0.44</td></tr><tr><td>Patients on DMARDs, n (%)</td><td>26 (87)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Patients on glucocorticoids, n (%)</td><td>18 (60)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Patients on NSAIDs, n (%)</td><td>24 (80)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Vegan diet n = 30</b>\", \"bbox\": [230, 9, 293, 19]}, {\"cell\": \"<b>Non-vegan diet n = 28</b>\", \"bbox\": [343, 9, 422, 19]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [462, 9, 489, 19]}, {\"cell\": \"Patients, female/male, n\", \"bbox\": [4, 25, 87, 35]}, {\"cell\": \"28/2\", \"bbox\": [252, 25, 271, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 25, 392, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age in years, mean (CI)\", \"bbox\": [4, 41, 86, 51]}, {\"cell\": \"49.9 (46.6–53.3)\", \"bbox\": [231, 41, 292, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 41, 413, 51]}, {\"cell\": \"0.75\", \"bbox\": [466, 41, 484, 51]}, {\"cell\": \"Disease duration in years, mean (CI)\", \"bbox\": [4, 56, 129, 66]}, {\"cell\": \"5.0 (4.1–6.0)\", \"bbox\": [238, 56, 285, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 56, 406, 66]}, {\"cell\": \"0.31\", \"bbox\": [466, 56, 484, 66]}, {\"cell\": \"Rheumatoid factor-positive, n (%)\", \"bbox\": [4, 72, 120, 82]}, {\"cell\": \"25 (83)\", \"bbox\": [248, 72, 275, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 72, 397, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Body mass index, kg/m<sup>2</sup>, mean (CI)\", \"bbox\": [4, 87, 126, 97]}, {\"cell\": \"24.1 (22.3–25.9)\", \"bbox\": [231, 87, 292, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 87, 413, 97]}, {\"cell\": \"0.81\", \"bbox\": [466, 87, 484, 97]}, {\"cell\": \"Weight, kg, mean (CI)\", \"bbox\": [4, 103, 81, 113]}, {\"cell\": \"66.4 (61.7–71,1)\", \"bbox\": [231, 103, 292, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 103, 413, 113]}, {\"cell\": \"0.70\", \"bbox\": [466, 103, 484, 113]}, {\"cell\": \"DAS28, mean (CI)\", \"bbox\": [4, 118, 69, 128]}, {\"cell\": \"5.3 (5.0–5.7)\", \"bbox\": [238, 118, 285, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 118, 406, 128]}, {\"cell\": \"0.80\", \"bbox\": [466, 118, 484, 128]}, {\"cell\": \"HAQ score, mean (CI)\", \"bbox\": [4, 134, 83, 144]}, {\"cell\": \"1.4 (1.2–1.5)\", \"bbox\": [238, 134, 285, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 134, 406, 144]}, {\"cell\": \"0.44\", \"bbox\": [466, 134, 484, 144]}, {\"cell\": \"Patients on DMARDs, n (%)\", \"bbox\": [4, 149, 102, 159]}, {\"cell\": \"26 (87)\", \"bbox\": [248, 149, 275, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 149, 397, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Patients on glucocorticoids, n (%)\", \"bbox\": [4, 165, 122, 175]}, {\"cell\": \"18 (60)\", \"bbox\": [248, 165, 275, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 165, 394, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Patients on NSAIDs, n (%)\", \"bbox\": [4, 180, 97, 190]}, {\"cell\": \"24 (80)\", \"bbox\": [248, 180, 275, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 180, 397, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2453753_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}53{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>All</b></td><td colspan=\\\"2\\\"><b>High computer use<sup>1</sup></b></td><td colspan=\\\"2\\\"><b>High mobile phone use<sup>1</sup></b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>n = 32</b></td><td colspan=\\\"2\\\"><b>n = 28</b></td><td colspan=\\\"2\\\"><b>n = 20</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Freq</b></td><td><b>%</b></td><td><b>Freq</b></td><td><b>%</b></td><td><b>Freq</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>Gender</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>Women</i></td><td>16</td><td>50</td><td>13</td><td>[EMPTY_CELL]</td><td>12</td><td>60</td></tr><tr><td> <i>Men</i></td><td>16</td><td>50</td><td>15</td><td>[EMPTY_CELL]</td><td>8</td><td>40</td></tr><tr><td>Study background</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>IT</i></td><td>25</td><td>78</td><td>25</td><td>[EMPTY_CELL]</td><td>13</td><td>65</td></tr><tr><td> <i>Medical doctor or nurse</i></td><td>7</td><td>22</td><td>3</td><td>[EMPTY_CELL]</td><td>7</td><td>35</td></tr><tr><td>Upper quartile regular exposure in 2004</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>Computer<sup>2</sup></i></td><td>21</td><td>66</td><td>21</td><td>[EMPTY_CELL]</td><td>10</td><td>50</td></tr><tr><td> <i>Mobile phone<sup>3</sup></i></td><td>14</td><td>44</td><td>10</td><td>[EMPTY_CELL]</td><td>14</td><td>70</td></tr><tr><td>Reported mental symptoms in 2005<sup>4</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>Three symptoms</i></td><td>28</td><td>88</td><td>24</td><td>[EMPTY_CELL]</td><td>17</td><td>85</td></tr><tr><td> <i>Two symptoms</i></td><td>4</td><td>12</td><td>4</td><td>[EMPTY_CELL]</td><td>3</td><td>15</td></tr><tr><td>Psychiatric diagnosis in present study</td><td>12</td><td>38</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>Mild - moderate depression</i></td><td>6</td><td>19</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>Anxiety disorder UNS</i></td><td>4</td><td>12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>Mixed anxiety and depression</i></td><td>1</td><td>3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>Mood syndrome UNS</i></td><td>1</td><td>3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Reported connection between subjective mental symptoms and IT use in 2005</td><td>10</td><td>31</td><td>10</td><td>[EMPTY_CELL]</td><td>6</td><td>30</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All</b>\", \"bbox\": [279, 4, 290, 13]}, {\"cell\": \"<b>High computer use<sup>1</sup></b>\", \"bbox\": [311, 2, 383, 13]}, {\"cell\": \"<b>High mobile phone use<sup>1</sup></b>\", \"bbox\": [394, 2, 481, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n = 32</b>\", \"bbox\": [272, 16, 297, 25]}, {\"cell\": \"<b>n = 28</b>\", \"bbox\": [335, 16, 359, 25]}, {\"cell\": \"<b>n = 20</b>\", \"bbox\": [425, 16, 450, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Freq</b>\", \"bbox\": [268, 28, 285, 37]}, {\"cell\": \"<b>%</b>\", \"bbox\": [293, 28, 301, 37]}, {\"cell\": \"<b>Freq</b>\", \"bbox\": [320, 28, 337, 37]}, {\"cell\": \"<b>%</b>\", \"bbox\": [365, 28, 374, 37]}, {\"cell\": \"<b>Freq</b>\", \"bbox\": [406, 28, 424, 37]}, {\"cell\": \"<b>%</b>\", \"bbox\": [460, 28, 468, 37]}, {\"cell\": \"Gender\", \"bbox\": [0, 41, 26, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>Women</i>\", \"bbox\": [15, 53, 42, 63]}, {\"cell\": \"16\", \"bbox\": [271, 53, 281, 63]}, {\"cell\": \"50\", \"bbox\": [292, 53, 302, 63]}, {\"cell\": \"13\", \"bbox\": [323, 53, 333, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 53, 374, 63]}, {\"cell\": \"12\", \"bbox\": [410, 53, 420, 63]}, {\"cell\": \"60\", \"bbox\": [459, 53, 469, 63]}, {\"cell\": \" <i>Men</i>\", \"bbox\": [15, 65, 31, 74]}, {\"cell\": \"16\", \"bbox\": [271, 65, 281, 75]}, {\"cell\": \"50\", \"bbox\": [292, 65, 302, 75]}, {\"cell\": \"15\", \"bbox\": [323, 65, 333, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 65, 374, 75]}, {\"cell\": \"8\", \"bbox\": [412, 65, 418, 75]}, {\"cell\": \"40\", \"bbox\": [459, 65, 469, 75]}, {\"cell\": \"Study background\", \"bbox\": [0, 77, 61, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>IT</i>\", \"bbox\": [15, 89, 23, 98]}, {\"cell\": \"25\", \"bbox\": [271, 89, 281, 98]}, {\"cell\": \"78\", \"bbox\": [292, 89, 302, 98]}, {\"cell\": \"25\", \"bbox\": [323, 89, 333, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 89, 374, 98]}, {\"cell\": \"13\", \"bbox\": [410, 89, 420, 98]}, {\"cell\": \"65\", \"bbox\": [459, 89, 469, 98]}, {\"cell\": \" <i>Medical doctor or nurse</i>\", \"bbox\": [15, 101, 91, 110]}, {\"cell\": \"7\", \"bbox\": [273, 101, 279, 110]}, {\"cell\": \"22\", \"bbox\": [292, 101, 302, 110]}, {\"cell\": \"3\", \"bbox\": [325, 101, 331, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 101, 374, 110]}, {\"cell\": \"7\", \"bbox\": [412, 101, 418, 110]}, {\"cell\": \"35\", \"bbox\": [459, 101, 469, 110]}, {\"cell\": \"Upper quartile regular exposure in 2004\", \"bbox\": [1, 113, 131, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>Computer<sup>2</sup></i>\", \"bbox\": [15, 123, 50, 134]}, {\"cell\": \"21\", \"bbox\": [271, 125, 281, 134]}, {\"cell\": \"66\", \"bbox\": [292, 125, 302, 134]}, {\"cell\": \"21\", \"bbox\": [323, 125, 333, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 125, 374, 134]}, {\"cell\": \"10\", \"bbox\": [410, 125, 420, 134]}, {\"cell\": \"50\", \"bbox\": [459, 125, 469, 134]}, {\"cell\": \" <i>Mobile phone<sup>3</sup></i>\", \"bbox\": [15, 135, 63, 146]}, {\"cell\": \"14\", \"bbox\": [271, 137, 281, 146]}, {\"cell\": \"44\", \"bbox\": [292, 137, 302, 146]}, {\"cell\": \"10\", \"bbox\": [323, 137, 333, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 137, 374, 146]}, {\"cell\": \"14\", \"bbox\": [410, 137, 420, 146]}, {\"cell\": \"70\", \"bbox\": [459, 137, 469, 146]}, {\"cell\": \"Reported mental symptoms in 2005<sup>4</sup>\", \"bbox\": [0, 147, 121, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>Three symptoms</i>\", \"bbox\": [15, 161, 68, 170]}, {\"cell\": \"28\", \"bbox\": [271, 161, 281, 170]}, {\"cell\": \"88\", \"bbox\": [292, 161, 302, 170]}, {\"cell\": \"24\", \"bbox\": [323, 161, 333, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 161, 374, 170]}, {\"cell\": \"17\", \"bbox\": [410, 161, 420, 170]}, {\"cell\": \"85\", \"bbox\": [459, 161, 469, 170]}, {\"cell\": \" <i>Two symptoms</i>\", \"bbox\": [15, 173, 65, 182]}, {\"cell\": \"4\", \"bbox\": [273, 173, 279, 182]}, {\"cell\": \"12\", \"bbox\": [292, 173, 302, 182]}, {\"cell\": \"4\", \"bbox\": [325, 173, 331, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 173, 374, 182]}, {\"cell\": \"3\", \"bbox\": [412, 173, 418, 182]}, {\"cell\": \"15\", \"bbox\": [459, 173, 469, 182]}, {\"cell\": \"Psychiatric diagnosis in present study\", \"bbox\": [1, 185, 123, 194]}, {\"cell\": \"12\", \"bbox\": [271, 185, 281, 194]}, {\"cell\": \"38\", \"bbox\": [292, 185, 302, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>Mild - moderate depression</i>\", \"bbox\": [15, 197, 102, 206]}, {\"cell\": \"6\", \"bbox\": [273, 197, 279, 206]}, {\"cell\": \"19\", \"bbox\": [292, 197, 302, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>Anxiety disorder UNS</i>\", \"bbox\": [15, 209, 82, 218]}, {\"cell\": \"4\", \"bbox\": [273, 209, 279, 218]}, {\"cell\": \"12\", \"bbox\": [292, 209, 302, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>Mixed anxiety and depression</i>\", \"bbox\": [15, 220, 109, 230]}, {\"cell\": \"1\", \"bbox\": [273, 220, 279, 230]}, {\"cell\": \"3\", \"bbox\": [294, 220, 300, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>Mood syndrome UNS</i>\", \"bbox\": [15, 232, 83, 242]}, {\"cell\": \"1\", \"bbox\": [273, 232, 279, 242]}, {\"cell\": \"3\", \"bbox\": [294, 232, 300, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reported connection between subjective mental symptoms and IT use in 2005\", \"bbox\": [1, 244, 258, 254]}, {\"cell\": \"10\", \"bbox\": [271, 244, 281, 254]}, {\"cell\": \"31\", \"bbox\": [292, 244, 302, 254]}, {\"cell\": \"10\", \"bbox\": [323, 244, 333, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 244, 374, 254]}, {\"cell\": \"6\", \"bbox\": [412, 244, 418, 254]}, {\"cell\": \"30\", \"bbox\": [459, 244, 469, 254]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2836296_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}54{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>CYP17A1_WT</b></td><td><b>CYP17A1_V366M</b></td></tr><tr><td><b>Binding studies</b></td><td><b>Kd (nM)</b></td><td><b>Kd (nM)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>163 ± 29</td><td>287 ± 35</td></tr><tr><td>[EMPTY_CELL]</td><td>62 ± 17</td><td>92 ± 15</td></tr><tr><td>[EMPTY_CELL]</td><td>142 ± 38</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>85 ± 23</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td><b>IC<sub>50</sub> (μM)</b></td><td><b>IC<sub>50</sub> (μM)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>0.04 ± 0.01</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>1.7 ± 0.2</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>0.9 ± 0.15</td><td>1.4 ± 0.2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>CYP17A1_WT</b>\", \"bbox\": [160, 5, 220, 16]}, {\"cell\": \"<b>CYP17A1_V366M</b>\", \"bbox\": [236, 5, 311, 16]}, {\"cell\": \"<b>Binding studies</b>\", \"bbox\": [42, 21, 109, 32]}, {\"cell\": \"<b>Kd (nM)</b>\", \"bbox\": [172, 21, 209, 32]}, {\"cell\": \"<b>Kd (nM)</b>\", \"bbox\": [254, 21, 291, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 36, 111, 48]}, {\"cell\": \"163 ± 29\", \"bbox\": [172, 36, 208, 48]}, {\"cell\": \"287 ± 35\", \"bbox\": [255, 36, 291, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 47, 110, 59]}, {\"cell\": \"62 ± 17\", \"bbox\": [174, 47, 206, 59]}, {\"cell\": \"92 ± 15\", \"bbox\": [257, 47, 289, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 58, 123, 70]}, {\"cell\": \"142 ± 38\", \"bbox\": [172, 58, 208, 70]}, {\"cell\": \"-\", \"bbox\": [270, 58, 275, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [28, 69, 122, 81]}, {\"cell\": \"85 ± 23\", \"bbox\": [174, 69, 206, 81]}, {\"cell\": \"-\", \"bbox\": [270, 69, 275, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [37, 85, 113, 96]}, {\"cell\": \"<b>IC<sub>50</sub> (μM)</b>\", \"bbox\": [169, 85, 211, 97]}, {\"cell\": \"<b>IC<sub>50</sub> (μM)</b>\", \"bbox\": [252, 85, 294, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 101, 144, 123]}, {\"cell\": \"0.04 ± 0.01\", \"bbox\": [168, 107, 213, 118]}, {\"cell\": \"-\", \"bbox\": [270, 107, 275, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 123, 144, 145]}, {\"cell\": \"1.7 ± 0.2\", \"bbox\": [172, 128, 208, 140]}, {\"cell\": \"-\", \"bbox\": [270, 128, 275, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 145, 132, 167]}, {\"cell\": \"0.9 ± 0.15\", \"bbox\": [170, 150, 211, 161]}, {\"cell\": \"1.4 ± 0.2\", \"bbox\": [255, 150, 291, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6027421_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}55{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Target gene</b></td><td><b>Primer sequence (5’-3’)</b></td><td><b>Direction</b></td><td><b>Amplicon size(bp)</b></td><td><b>PCR cyclic conditions</b></td><td><b>References</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\"><i>lmoO737</i></td><td>AGG GCT TCA AGG ACT TAC CC</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">94°C × 5<i>'</i>; (94°C × 30s, 54°C × 75 s, 72°C × 75 s)<sub>35</sub>; 72°C × 10<i>'</i></td><td rowspan=\\\"2\\\">[8]</td></tr><tr><td>ACG ATT TCT GCT TGC CAT TC</td><td>R</td></tr><tr><td rowspan=\\\"2\\\"><i>lmo1118</i></td><td>AGG GGT CTT AAA TCC TGG AA</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Do</td><td rowspan=\\\"2\\\">[8]</td></tr><tr><td>CGG CTT GTT CGG CAT ACT TA</td><td>R</td></tr><tr><td rowspan=\\\"2\\\">ORF2819</td><td>AGC AAA ATG CCA AAA CTC GT</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Do</td><td rowspan=\\\"2\\\">[8]</td></tr><tr><td>CAT CAC TAA AGC CTC CCA TTG</td><td>R</td></tr><tr><td rowspan=\\\"2\\\">ORF2110</td><td>AGT GGA CAA TTG ATT GGT GAA</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Do</td><td rowspan=\\\"2\\\">[8]</td></tr><tr><td>CAT CCA TCC CTT ACT TTG GAC</td><td>R</td></tr><tr><td rowspan=\\\"2\\\"><i>Prs</i></td><td>GCT GAA GAG ATT GCG AAA GAA G</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Do</td><td rowspan=\\\"2\\\">[8]</td></tr><tr><td>CAA AGA AAC CTT GGA TTT GCG G</td><td>R</td></tr><tr><td rowspan=\\\"2\\\"><i>inlA</i></td><td>ACG AGT AAC GGG ACA AAT GC</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">94°C × 2<i>'</i>; (94°C × 20s, 55°C × 20s, 72°C × 50s)<sub>30</sub>; 72°C × 2<i>'</i></td><td rowspan=\\\"2\\\">[7]</td></tr><tr><td>CCC GAC AGT GGT GCT AGA TT</td><td>R</td></tr><tr><td rowspan=\\\"2\\\"><i>inlC</i></td><td>AAT TCC CAC AGG ACA CAA CC</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Do</td><td rowspan=\\\"2\\\">[7]</td></tr><tr><td>CGG GAA TGC AAT TTT TCA CTA</td><td>R</td></tr><tr><td rowspan=\\\"2\\\"><i>inlJ</i></td><td>TGT AAC CCC GCT TAC ACA GTT</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Do</td><td rowspan=\\\"2\\\">[7]</td></tr><tr><td>AGC GGC TTG GCA GTC TAA TA</td><td>R</td></tr><tr><td rowspan=\\\"2\\\"><i>plcA</i></td><td>CTG CTT GAG CGT TCA TGT CTC ATC CCC C</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">95°C × 2<i>'</i>; (95°C × 15 s, 60°C × 30s, 72°C × 90s)<sub>35</sub>; 72°C × 10<i>'</i></td><td rowspan=\\\"2\\\">[60]</td></tr><tr><td>CAT GGG TTT CAC TCT CCT TCT AC</td><td>R</td></tr><tr><td rowspan=\\\"2\\\"><i>prfA</i></td><td>CTG TTG GAG CTC TTC TTG GTG AAG CAA TCG</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Do</td><td rowspan=\\\"2\\\">[60]</td></tr><tr><td>AGC AAC CTC GGT ACC ATA TAC TAA CTC</td><td>R</td></tr><tr><td rowspan=\\\"2\\\"><i>actA</i></td><td>CGC CGC GGA AAT TAA AAA AAG A</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Do</td><td rowspan=\\\"2\\\">[61]</td></tr><tr><td>ACG AAG GAA CCG GGC TGC TAG</td><td>R</td></tr><tr><td rowspan=\\\"2\\\"><i>hlyA</i></td><td>GCA GTT GCA AGC GCT TGG AGT GAA</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Do</td><td rowspan=\\\"2\\\">[62]</td></tr><tr><td>GCA ACG TAT CCT CCA GAG TGA TCG</td><td>R</td></tr><tr><td rowspan=\\\"2\\\"><i>Iap</i></td><td>ACA AGC TGC ACC TGT TGC AG</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Do</td><td rowspan=\\\"2\\\">[63]</td></tr><tr><td>TGA CAG CGT GTG TAG TAG CA</td><td>R</td></tr><tr><td><i>REP1R-I</i></td><td>IIIICGICGICATCIGGC</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">95°C × 7<i>'</i>; (95°C × 1<i>'</i>, 44°C × 1<i>'</i>, 65°C × 8<i>'</i>)<sub>30</sub>; 65°C × 10<i>'</i></td><td rowspan=\\\"2\\\">[52]</td></tr><tr><td><i>REP2-I</i></td><td>ICGICTTATCIGGCCTAC</td><td>R</td></tr><tr><td><i>ERIC1R</i></td><td>ATGTAAGCTCCTGGGGATTCAC</td><td>F</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">95°C × 7<i>'</i>; (95°C × 1<i>'</i>, 52°C × 1<i>'</i>, 65°C × 8<i>'</i>)<sub>30</sub>; 65°C × 10<i>'</i></td><td rowspan=\\\"2\\\">[64]</td></tr><tr><td><i>ERIC2</i></td><td>AAGTAAGTGACTGGGGTGAGCG</td><td>R</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Target gene</b>\", \"bbox\": [1, 4, 44, 13]}, {\"cell\": \"<b>Primer sequence (5’-3’)</b>\", \"bbox\": [51, 4, 133, 13]}, {\"cell\": \"<b>Direction</b>\", \"bbox\": [213, 4, 246, 13]}, {\"cell\": \"<b>Amplicon size(bp)</b>\", \"bbox\": [253, 4, 318, 13]}, {\"cell\": \"<b>PCR cyclic conditions</b>\", \"bbox\": [325, 4, 400, 13]}, {\"cell\": \"<b>References</b>\", \"bbox\": [445, 4, 484, 13]}, {\"cell\": \"<i>lmoO737</i>\", \"bbox\": [1, 17, 30, 27]}, {\"cell\": \"AGG GCT TCA AGG ACT TAC CC\", \"bbox\": [51, 17, 157, 26]}, {\"cell\": \"F\", \"bbox\": [213, 17, 218, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 17, 267, 26]}, {\"cell\": \"94°C × 5<i>'</i>; (94°C × 30s, 54°C × 75 s, 72°C × 75 s)<sub>35</sub>; 72°C × 10<i>'</i>\", \"bbox\": [325, 17, 438, 36]}, {\"cell\": \"[8]\", \"bbox\": [445, 17, 455, 26]}, {\"cell\": \"ACG ATT TCT GCT TGC CAT TC\", \"bbox\": [51, 31, 153, 40]}, {\"cell\": \"R\", \"bbox\": [213, 31, 219, 40]}, {\"cell\": \"<i>lmo1118</i>\", \"bbox\": [1, 45, 29, 55]}, {\"cell\": \"AGG GGT CTT AAA TCC TGG AA\", \"bbox\": [51, 45, 157, 54]}, {\"cell\": \"F\", \"bbox\": [213, 45, 218, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 45, 267, 54]}, {\"cell\": \"Do\", \"bbox\": [325, 45, 336, 54]}, {\"cell\": \"[8]\", \"bbox\": [445, 45, 455, 54]}, {\"cell\": \"CGG CTT GTT CGG CAT ACT TA\", \"bbox\": [51, 59, 154, 68]}, {\"cell\": \"R\", \"bbox\": [213, 59, 219, 68]}, {\"cell\": \"ORF2819\", \"bbox\": [1, 73, 31, 82]}, {\"cell\": \"AGC AAA ATG CCA AAA CTC GT\", \"bbox\": [51, 73, 158, 82]}, {\"cell\": \"F\", \"bbox\": [213, 73, 218, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 73, 267, 82]}, {\"cell\": \"Do\", \"bbox\": [325, 73, 336, 82]}, {\"cell\": \"[8]\", \"bbox\": [445, 73, 455, 82]}, {\"cell\": \"CAT CAC TAA AGC CTC CCA TTG\", \"bbox\": [51, 87, 160, 96]}, {\"cell\": \"R\", \"bbox\": [213, 87, 219, 96]}, {\"cell\": \"ORF2110\", \"bbox\": [1, 101, 31, 110]}, {\"cell\": \"AGT GGA CAA TTG ATT GGT GAA\", \"bbox\": [51, 101, 161, 110]}, {\"cell\": \"F\", \"bbox\": [213, 101, 218, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 101, 267, 110]}, {\"cell\": \"Do\", \"bbox\": [325, 101, 336, 110]}, {\"cell\": \"[8]\", \"bbox\": [445, 101, 455, 110]}, {\"cell\": \"CAT CCA TCC CTT ACT TTG GAC\", \"bbox\": [51, 115, 158, 124]}, {\"cell\": \"R\", \"bbox\": [213, 115, 219, 124]}, {\"cell\": \"<i>Prs</i>\", \"bbox\": [1, 129, 11, 139]}, {\"cell\": \"GCT GAA GAG ATT GCG AAA GAA G\", \"bbox\": [51, 129, 171, 138]}, {\"cell\": \"F\", \"bbox\": [213, 129, 218, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 129, 267, 138]}, {\"cell\": \"Do\", \"bbox\": [325, 129, 336, 138]}, {\"cell\": \"[8]\", \"bbox\": [445, 129, 455, 138]}, {\"cell\": \"CAA AGA AAC CTT GGA TTT GCG G\", \"bbox\": [51, 143, 168, 152]}, {\"cell\": \"R\", \"bbox\": [213, 143, 219, 152]}, {\"cell\": \"<i>inlA</i>\", \"bbox\": [1, 157, 14, 167]}, {\"cell\": \"ACG AGT AAC GGG ACA AAT GC\", \"bbox\": [51, 157, 160, 166]}, {\"cell\": \"F\", \"bbox\": [213, 157, 218, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 157, 267, 166]}, {\"cell\": \"94°C × 2<i>'</i>; (94°C × 20s, 55°C × 20s, 72°C × 50s)<sub>30</sub>; 72°C × 2<i>'</i>\", \"bbox\": [325, 157, 436, 176]}, {\"cell\": \"[7]\", \"bbox\": [445, 157, 455, 166]}, {\"cell\": \"CCC GAC AGT GGT GCT AGA TT\", \"bbox\": [51, 171, 157, 180]}, {\"cell\": \"R\", \"bbox\": [213, 171, 219, 180]}, {\"cell\": \"<i>inlC</i>\", \"bbox\": [1, 185, 14, 195]}, {\"cell\": \"AAT TCC CAC AGG ACA CAA CC\", \"bbox\": [51, 185, 158, 194]}, {\"cell\": \"F\", \"bbox\": [213, 185, 218, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 185, 267, 194]}, {\"cell\": \"Do\", \"bbox\": [325, 185, 336, 194]}, {\"cell\": \"[7]\", \"bbox\": [445, 185, 455, 194]}, {\"cell\": \"CGG GAA TGC AAT TTT TCA CTA\", \"bbox\": [51, 199, 159, 208]}, {\"cell\": \"R\", \"bbox\": [213, 199, 219, 208]}, {\"cell\": \"<i>inlJ</i>\", \"bbox\": [1, 213, 12, 223]}, {\"cell\": \"TGT AAC CCC GCT TAC ACA GTT\", \"bbox\": [51, 213, 159, 222]}, {\"cell\": \"F\", \"bbox\": [213, 213, 218, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 213, 267, 222]}, {\"cell\": \"Do\", \"bbox\": [325, 213, 336, 222]}, {\"cell\": \"[7]\", \"bbox\": [445, 213, 455, 222]}, {\"cell\": \"AGC GGC TTG GCA GTC TAA TA\", \"bbox\": [51, 227, 157, 236]}, {\"cell\": \"R\", \"bbox\": [213, 227, 219, 236]}, {\"cell\": \"<i>plcA</i>\", \"bbox\": [1, 241, 16, 251]}, {\"cell\": \"CTG CTT GAG CGT TCA TGT CTC ATC CCC C\", \"bbox\": [51, 241, 196, 250]}, {\"cell\": \"F\", \"bbox\": [213, 241, 218, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 241, 271, 250]}, {\"cell\": \"95°C × 2<i>'</i>; (95°C × 15 s, 60°C × 30s, 72°C × 90s)<sub>35</sub>; 72°C × 10<i>'</i>\", \"bbox\": [325, 241, 438, 260]}, {\"cell\": \"[60]\", \"bbox\": [445, 241, 459, 250]}, {\"cell\": \"CAT GGG TTT CAC TCT CCT TCT AC\", \"bbox\": [51, 255, 168, 264]}, {\"cell\": \"R\", \"bbox\": [213, 255, 219, 264]}, {\"cell\": \"<i>prfA</i>\", \"bbox\": [1, 269, 15, 279]}, {\"cell\": \"CTG TTG GAG CTC TTC TTG GTG AAG CAA TCG\", \"bbox\": [51, 269, 206, 278]}, {\"cell\": \"F\", \"bbox\": [213, 269, 218, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 269, 271, 278]}, {\"cell\": \"Do\", \"bbox\": [325, 269, 336, 278]}, {\"cell\": \"[60]\", \"bbox\": [445, 269, 459, 278]}, {\"cell\": \"AGC AAC CTC GGT ACC ATA TAC TAA CTC\", \"bbox\": [51, 283, 192, 292]}, {\"cell\": \"R\", \"bbox\": [213, 283, 219, 292]}, {\"cell\": \"<i>actA</i>\", \"bbox\": [1, 297, 16, 307]}, {\"cell\": \"CGC CGC GGA AAT TAA AAA AAG A\", \"bbox\": [51, 297, 171, 306]}, {\"cell\": \"F\", \"bbox\": [213, 297, 218, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 297, 267, 306]}, {\"cell\": \"Do\", \"bbox\": [325, 297, 336, 306]}, {\"cell\": \"[61]\", \"bbox\": [445, 297, 459, 306]}, {\"cell\": \"ACG AAG GAA CCG GGC TGC TAG\", \"bbox\": [51, 311, 165, 320]}, {\"cell\": \"R\", \"bbox\": [213, 311, 219, 320]}, {\"cell\": \"<i>hlyA</i>\", \"bbox\": [1, 325, 16, 335]}, {\"cell\": \"GCA GTT GCA AGC GCT TGG AGT GAA\", \"bbox\": [51, 325, 178, 334]}, {\"cell\": \"F\", \"bbox\": [213, 325, 218, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 325, 267, 334]}, {\"cell\": \"Do\", \"bbox\": [325, 325, 336, 334]}, {\"cell\": \"[62]\", \"bbox\": [445, 325, 459, 334]}, {\"cell\": \"GCA ACG TAT CCT CCA GAG TGA TCG\", \"bbox\": [51, 339, 177, 348]}, {\"cell\": \"R\", \"bbox\": [213, 339, 219, 348]}, {\"cell\": \"<i>Iap</i>\", \"bbox\": [1, 353, 12, 363]}, {\"cell\": \"ACA AGC TGC ACC TGT TGC AG\", \"bbox\": [51, 353, 157, 362]}, {\"cell\": \"F\", \"bbox\": [213, 353, 218, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 353, 267, 362]}, {\"cell\": \"Do\", \"bbox\": [325, 353, 336, 362]}, {\"cell\": \"[63]\", \"bbox\": [445, 353, 459, 362]}, {\"cell\": \"TGA CAG CGT GTG TAG TAG CA\", \"bbox\": [51, 367, 157, 376]}, {\"cell\": \"R\", \"bbox\": [213, 367, 219, 376]}, {\"cell\": \"<i>REP1R-I</i>\", \"bbox\": [1, 381, 25, 391]}, {\"cell\": \"IIIICGICGICATCIGGC\", \"bbox\": [51, 381, 115, 390]}, {\"cell\": \"F\", \"bbox\": [213, 381, 218, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 381, 278, 390]}, {\"cell\": \"95°C × 7<i>'</i>; (95°C × 1<i>'</i>, 44°C × 1<i>'</i>, 65°C × 8<i>'</i>)<sub>30</sub>; 65°C × 10<i>'</i>\", \"bbox\": [325, 381, 424, 400]}, {\"cell\": \"[52]\", \"bbox\": [445, 381, 459, 390]}, {\"cell\": \"<i>REP2-I</i>\", \"bbox\": [1, 395, 21, 405]}, {\"cell\": \"ICGICTTATCIGGCCTAC\", \"bbox\": [51, 395, 124, 404]}, {\"cell\": \"R\", \"bbox\": [213, 395, 219, 404]}, {\"cell\": \"<i>ERIC1R</i>\", \"bbox\": [1, 409, 23, 419]}, {\"cell\": \"ATGTAAGCTCCTGGGGATTCAC\", \"bbox\": [51, 409, 150, 418]}, {\"cell\": \"F\", \"bbox\": [213, 409, 218, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 409, 278, 418]}, {\"cell\": \"95°C × 7<i>'</i>; (95°C × 1<i>'</i>, 52°C × 1<i>'</i>, 65°C × 8<i>'</i>)<sub>30</sub>; 65°C × 10<i>'</i>\", \"bbox\": [325, 409, 424, 428]}, {\"cell\": \"[64]\", \"bbox\": [445, 409, 459, 418]}, {\"cell\": \"<i>ERIC2</i>\", \"bbox\": [1, 423, 19, 433]}, {\"cell\": \"AAGTAAGTGACTGGGGTGAGCG\", \"bbox\": [51, 423, 154, 432]}, {\"cell\": \"R\", \"bbox\": [213, 423, 219, 432]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4172985_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}56{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b><i>Patient ID</i></b></td><td><b><i>Sample</i></b></td><td><b><i>Tumor Grade</i></b></td><td><b><i>Tumor location</i></b></td><td><b><i>Gender</i></b></td><td><b><i>Age</i></b></td><td><b><i>Application</i></b></td></tr></thead><tbody><tr><td>17</td><td>[EMPTY_CELL]</td><td>CS I</td><td>metacarpal</td><td>M</td><td>48</td><td>1,3</td></tr><tr><td>17</td><td>[EMPTY_CELL]</td><td>CS I</td><td>phalanx</td><td>M</td><td>49</td><td>1,3</td></tr><tr><td>20</td><td>[EMPTY_CELL]</td><td>CS II</td><td>femur</td><td>F</td><td>23</td><td>1,3</td></tr><tr><td>21</td><td>[EMPTY_CELL]</td><td>CS I</td><td>femur</td><td>M</td><td>26</td><td>1,3</td></tr><tr><td>21</td><td>[EMPTY_CELL]</td><td>CS I</td><td>tibia</td><td>M</td><td>26</td><td>1,3</td></tr><tr><td>22</td><td>[EMPTY_CELL]</td><td>EC</td><td>phalanx</td><td>F</td><td>26</td><td>1,2,3,4</td></tr><tr><td>22</td><td>[EMPTY_CELL]</td><td>EC</td><td>phalanx</td><td>F</td><td>16</td><td>1,2,3,4</td></tr><tr><td>23</td><td>[EMPTY_CELL]</td><td>CS II</td><td>humerus</td><td>M</td><td>68</td><td>1,3</td></tr><tr><td>25</td><td>[EMPTY_CELL]</td><td>EC</td><td>phalanx</td><td>M</td><td>15</td><td>1,2,3,4</td></tr><tr><td>25</td><td>[EMPTY_CELL]</td><td>EC</td><td>metacarpal</td><td>M</td><td>14</td><td>1,3,4</td></tr><tr><td>26</td><td>[EMPTY_CELL]</td><td>CS II</td><td>scapula</td><td>M</td><td>48</td><td>1,3</td></tr><tr><td>27</td><td>[EMPTY_CELL]</td><td>CS II</td><td>femur</td><td>M</td><td>31</td><td>1,3</td></tr><tr><td>28</td><td>[EMPTY_CELL]</td><td>CS II</td><td>tibia</td><td>M</td><td>41</td><td>1,3</td></tr><tr><td>29</td><td>[EMPTY_CELL]</td><td>CS I</td><td>tibia</td><td>M</td><td>41</td><td>1,3</td></tr><tr><td>29</td><td>[EMPTY_CELL]</td><td>EC</td><td>foot</td><td>M</td><td>38</td><td>1,3</td></tr><tr><td>30</td><td>[EMPTY_CELL]</td><td>CS II</td><td>knee</td><td>F</td><td>63</td><td>1,3</td></tr><tr><td>31</td><td>[EMPTY_CELL]</td><td>CS III</td><td>unknown</td><td>M</td><td>-</td><td>1,3</td></tr><tr><td>33</td><td>[EMPTY_CELL]</td><td>CS I</td><td>pubic bone</td><td>F</td><td>23</td><td>1,3</td></tr><tr><td>34</td><td>[EMPTY_CELL]</td><td>CS I</td><td>phalanx</td><td>M</td><td>18</td><td>1,3</td></tr><tr><td>34</td><td>[EMPTY_CELL]</td><td>EC</td><td>phalanx</td><td>M</td><td>18</td><td>1,2,3,4</td></tr><tr><td>35</td><td>[EMPTY_CELL]</td><td>CS I</td><td>phalanx</td><td>F</td><td>13</td><td>1,3</td></tr><tr><td>36</td><td>[EMPTY_CELL]</td><td>EC</td><td>tibia</td><td>F</td><td>12</td><td>1,3</td></tr><tr><td>38</td><td>[EMPTY_CELL]</td><td>EC</td><td>unknown</td><td>M</td><td>36</td><td>1,3</td></tr><tr><td>38</td><td>[EMPTY_CELL]</td><td>EC</td><td>Iliac bone</td><td>M</td><td>36</td><td>1,2,3,4</td></tr><tr><td>42</td><td>[EMPTY_CELL]</td><td>CS II</td><td>humerus</td><td>F</td><td>15</td><td>1,3</td></tr><tr><td>43</td><td>[EMPTY_CELL]</td><td>CS II</td><td>humerus</td><td>F</td><td>49</td><td>1,3</td></tr><tr><td>47</td><td>[EMPTY_CELL]</td><td>EC</td><td>phalanx</td><td>M</td><td>39</td><td>1,2,3,4</td></tr><tr><td>47</td><td>[EMPTY_CELL]</td><td>CS I</td><td>phalanx</td><td>M</td><td>39</td><td>1,3</td></tr><tr><td>48</td><td>[EMPTY_CELL]</td><td>CS III</td><td>tibia</td><td>M</td><td>35</td><td>1,3</td></tr><tr><td>48</td><td>[EMPTY_CELL]</td><td>EC</td><td>femur</td><td>M</td><td>35</td><td>1,3</td></tr><tr><td>50</td><td>[EMPTY_CELL]</td><td>CS I</td><td>femur</td><td>F</td><td>42</td><td>1,3</td></tr><tr><td>52</td><td>[EMPTY_CELL]</td><td>CS I</td><td>femur</td><td>F</td><td>23</td><td>1,3</td></tr><tr><td>54</td><td>[EMPTY_CELL]</td><td>EC</td><td>phalanx</td><td>F</td><td>12</td><td>1,3</td></tr><tr><td>61</td><td>[EMPTY_CELL]</td><td>EC</td><td>ilium</td><td>M</td><td>6</td><td>1,3</td></tr><tr><td>64</td><td>[EMPTY_CELL]</td><td>EC</td><td>metacarpal</td><td>F</td><td>29</td><td>1,2,3,4</td></tr><tr><td>68</td><td>[EMPTY_CELL]</td><td>CS I</td><td>acromion</td><td>F</td><td>24</td><td>1,3</td></tr><tr><td>69</td><td>[EMPTY_CELL]</td><td>CS I</td><td>pelvis</td><td>M</td><td>33</td><td>1,3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Patient ID</i></b>\", \"bbox\": [1, 4, 26, 22]}, {\"cell\": \"<b><i>Sample</i></b>\", \"bbox\": [33, 4, 59, 13]}, {\"cell\": \"<b><i>Tumor Grade</i></b>\", \"bbox\": [63, 4, 87, 22]}, {\"cell\": \"<b><i>Tumor location</i></b>\", \"bbox\": [103, 4, 132, 22]}, {\"cell\": \"<b><i>Gender</i></b>\", \"bbox\": [148, 4, 174, 13]}, {\"cell\": \"<b><i>Age</i></b>\", \"bbox\": [178, 4, 193, 13]}, {\"cell\": \"<b><i>Application</i></b>\", \"bbox\": [197, 4, 236, 13]}, {\"cell\": \"17\", \"bbox\": [1, 26, 10, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 26, 53, 35]}, {\"cell\": \"CS I\", \"bbox\": [63, 26, 78, 35]}, {\"cell\": \"metacarpal\", \"bbox\": [103, 26, 140, 35]}, {\"cell\": \"M\", \"bbox\": [148, 26, 156, 35]}, {\"cell\": \"48\", \"bbox\": [178, 26, 187, 35]}, {\"cell\": \"1,3\", \"bbox\": [197, 26, 208, 35]}, {\"cell\": \"17\", \"bbox\": [1, 38, 10, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 38, 53, 47]}, {\"cell\": \"CS I\", \"bbox\": [63, 38, 78, 47]}, {\"cell\": \"phalanx\", \"bbox\": [103, 38, 130, 47]}, {\"cell\": \"M\", \"bbox\": [148, 38, 156, 47]}, {\"cell\": \"49\", \"bbox\": [178, 38, 187, 47]}, {\"cell\": \"1,3\", \"bbox\": [197, 38, 208, 47]}, {\"cell\": \"20\", \"bbox\": [1, 50, 10, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 50, 53, 59]}, {\"cell\": \"CS II\", \"bbox\": [63, 50, 79, 59]}, {\"cell\": \"femur\", \"bbox\": [103, 50, 124, 59]}, {\"cell\": \"F\", \"bbox\": [148, 50, 154, 59]}, {\"cell\": \"23\", \"bbox\": [178, 50, 187, 59]}, {\"cell\": \"1,3\", \"bbox\": [197, 50, 208, 59]}, {\"cell\": \"21\", \"bbox\": [1, 62, 10, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 62, 53, 71]}, {\"cell\": \"CS I\", \"bbox\": [63, 62, 78, 71]}, {\"cell\": \"femur\", \"bbox\": [103, 62, 124, 71]}, {\"cell\": \"M\", \"bbox\": [148, 62, 156, 71]}, {\"cell\": \"26\", \"bbox\": [178, 62, 187, 71]}, {\"cell\": \"1,3\", \"bbox\": [197, 62, 208, 71]}, {\"cell\": \"21\", \"bbox\": [1, 74, 10, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 74, 53, 83]}, {\"cell\": \"CS I\", \"bbox\": [63, 74, 78, 83]}, {\"cell\": \"tibia\", \"bbox\": [103, 74, 119, 83]}, {\"cell\": \"M\", \"bbox\": [148, 74, 156, 83]}, {\"cell\": \"26\", \"bbox\": [178, 74, 187, 83]}, {\"cell\": \"1,3\", \"bbox\": [197, 74, 208, 83]}, {\"cell\": \"22\", \"bbox\": [1, 86, 10, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 86, 50, 95]}, {\"cell\": \"EC\", \"bbox\": [63, 86, 73, 95]}, {\"cell\": \"phalanx\", \"bbox\": [103, 86, 130, 95]}, {\"cell\": \"F\", \"bbox\": [148, 86, 154, 95]}, {\"cell\": \"26\", \"bbox\": [178, 86, 187, 95]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 86, 218, 95]}, {\"cell\": \"22\", \"bbox\": [1, 98, 10, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 98, 50, 107]}, {\"cell\": \"EC\", \"bbox\": [63, 98, 73, 107]}, {\"cell\": \"phalanx\", \"bbox\": [103, 98, 130, 107]}, {\"cell\": \"F\", \"bbox\": [148, 98, 154, 107]}, {\"cell\": \"16\", \"bbox\": [178, 98, 187, 107]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 98, 218, 107]}, {\"cell\": \"23\", \"bbox\": [1, 110, 10, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 110, 50, 119]}, {\"cell\": \"CS II\", \"bbox\": [63, 110, 79, 119]}, {\"cell\": \"humerus\", \"bbox\": [103, 110, 133, 119]}, {\"cell\": \"M\", \"bbox\": [148, 110, 156, 119]}, {\"cell\": \"68\", \"bbox\": [178, 110, 187, 119]}, {\"cell\": \"1,3\", \"bbox\": [197, 110, 208, 119]}, {\"cell\": \"25\", \"bbox\": [1, 122, 10, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 122, 57, 131]}, {\"cell\": \"EC\", \"bbox\": [63, 122, 73, 131]}, {\"cell\": \"phalanx\", \"bbox\": [103, 122, 130, 131]}, {\"cell\": \"M\", \"bbox\": [148, 122, 156, 131]}, {\"cell\": \"15\", \"bbox\": [178, 122, 187, 131]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 122, 218, 131]}, {\"cell\": \"25\", \"bbox\": [1, 134, 10, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 134, 57, 143]}, {\"cell\": \"EC\", \"bbox\": [63, 134, 73, 143]}, {\"cell\": \"metacarpal\", \"bbox\": [103, 134, 140, 143]}, {\"cell\": \"M\", \"bbox\": [148, 134, 156, 143]}, {\"cell\": \"14\", \"bbox\": [178, 134, 187, 143]}, {\"cell\": \"1,3,4\", \"bbox\": [197, 134, 213, 143]}, {\"cell\": \"26\", \"bbox\": [1, 146, 10, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 146, 53, 155]}, {\"cell\": \"CS II\", \"bbox\": [63, 146, 79, 155]}, {\"cell\": \"scapula\", \"bbox\": [103, 146, 129, 155]}, {\"cell\": \"M\", \"bbox\": [148, 146, 156, 155]}, {\"cell\": \"48\", \"bbox\": [178, 146, 187, 155]}, {\"cell\": \"1,3\", \"bbox\": [197, 146, 208, 155]}, {\"cell\": \"27\", \"bbox\": [1, 158, 10, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 158, 57, 167]}, {\"cell\": \"CS II\", \"bbox\": [63, 158, 79, 167]}, {\"cell\": \"femur\", \"bbox\": [103, 158, 124, 167]}, {\"cell\": \"M\", \"bbox\": [148, 158, 156, 167]}, {\"cell\": \"31\", \"bbox\": [178, 158, 187, 167]}, {\"cell\": \"1,3\", \"bbox\": [197, 158, 208, 167]}, {\"cell\": \"28\", \"bbox\": [1, 170, 10, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 170, 57, 179]}, {\"cell\": \"CS II\", \"bbox\": [63, 170, 79, 179]}, {\"cell\": \"tibia\", \"bbox\": [103, 170, 119, 179]}, {\"cell\": \"M\", \"bbox\": [148, 170, 156, 179]}, {\"cell\": \"41\", \"bbox\": [178, 170, 187, 179]}, {\"cell\": \"1,3\", \"bbox\": [197, 170, 208, 179]}, {\"cell\": \"29\", \"bbox\": [1, 182, 10, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 182, 57, 191]}, {\"cell\": \"CS I\", \"bbox\": [63, 182, 78, 191]}, {\"cell\": \"tibia\", \"bbox\": [103, 182, 119, 191]}, {\"cell\": \"M\", \"bbox\": [148, 182, 156, 191]}, {\"cell\": \"41\", \"bbox\": [178, 182, 187, 191]}, {\"cell\": \"1,3\", \"bbox\": [197, 182, 208, 191]}, {\"cell\": \"29\", \"bbox\": [1, 194, 10, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 194, 57, 203]}, {\"cell\": \"EC\", \"bbox\": [63, 194, 73, 203]}, {\"cell\": \"foot\", \"bbox\": [103, 194, 118, 203]}, {\"cell\": \"M\", \"bbox\": [148, 194, 156, 203]}, {\"cell\": \"38\", \"bbox\": [178, 194, 187, 203]}, {\"cell\": \"1,3\", \"bbox\": [197, 194, 208, 203]}, {\"cell\": \"30\", \"bbox\": [1, 205, 10, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 205, 53, 215]}, {\"cell\": \"CS II\", \"bbox\": [63, 205, 79, 215]}, {\"cell\": \"knee\", \"bbox\": [103, 205, 120, 215]}, {\"cell\": \"F\", \"bbox\": [148, 205, 154, 215]}, {\"cell\": \"63\", \"bbox\": [178, 205, 187, 215]}, {\"cell\": \"1,3\", \"bbox\": [197, 205, 208, 215]}, {\"cell\": \"31\", \"bbox\": [1, 217, 10, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 217, 50, 227]}, {\"cell\": \"CS III\", \"bbox\": [63, 217, 81, 227]}, {\"cell\": \"unknown\", \"bbox\": [103, 217, 135, 227]}, {\"cell\": \"M\", \"bbox\": [148, 217, 156, 227]}, {\"cell\": \"-\", \"bbox\": [178, 217, 182, 227]}, {\"cell\": \"1,3\", \"bbox\": [197, 217, 208, 227]}, {\"cell\": \"33\", \"bbox\": [1, 229, 10, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 229, 53, 239]}, {\"cell\": \"CS I\", \"bbox\": [63, 229, 78, 239]}, {\"cell\": \"pubic bone\", \"bbox\": [103, 229, 142, 239]}, {\"cell\": \"F\", \"bbox\": [148, 229, 154, 239]}, {\"cell\": \"23\", \"bbox\": [178, 229, 187, 239]}, {\"cell\": \"1,3\", \"bbox\": [197, 229, 208, 239]}, {\"cell\": \"34\", \"bbox\": [1, 241, 10, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 241, 53, 251]}, {\"cell\": \"CS I\", \"bbox\": [63, 241, 78, 251]}, {\"cell\": \"phalanx\", \"bbox\": [103, 241, 130, 251]}, {\"cell\": \"M\", \"bbox\": [148, 241, 156, 251]}, {\"cell\": \"18\", \"bbox\": [178, 241, 187, 251]}, {\"cell\": \"1,3\", \"bbox\": [197, 241, 208, 251]}, {\"cell\": \"34\", \"bbox\": [1, 253, 10, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 253, 53, 263]}, {\"cell\": \"EC\", \"bbox\": [63, 253, 73, 263]}, {\"cell\": \"phalanx\", \"bbox\": [103, 253, 130, 263]}, {\"cell\": \"M\", \"bbox\": [148, 253, 156, 263]}, {\"cell\": \"18\", \"bbox\": [178, 253, 187, 263]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 253, 218, 263]}, {\"cell\": \"35\", \"bbox\": [1, 265, 10, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 265, 53, 275]}, {\"cell\": \"CS I\", \"bbox\": [63, 265, 78, 275]}, {\"cell\": \"phalanx\", \"bbox\": [103, 265, 130, 275]}, {\"cell\": \"F\", \"bbox\": [148, 265, 154, 275]}, {\"cell\": \"13\", \"bbox\": [178, 265, 187, 275]}, {\"cell\": \"1,3\", \"bbox\": [197, 265, 208, 275]}, {\"cell\": \"36\", \"bbox\": [1, 277, 10, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 277, 57, 287]}, {\"cell\": \"EC\", \"bbox\": [63, 277, 73, 287]}, {\"cell\": \"tibia\", \"bbox\": [103, 277, 119, 287]}, {\"cell\": \"F\", \"bbox\": [148, 277, 154, 287]}, {\"cell\": \"12\", \"bbox\": [178, 277, 187, 287]}, {\"cell\": \"1,3\", \"bbox\": [197, 277, 208, 287]}, {\"cell\": \"38\", \"bbox\": [1, 289, 10, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 289, 53, 299]}, {\"cell\": \"EC\", \"bbox\": [63, 289, 73, 299]}, {\"cell\": \"unknown\", \"bbox\": [103, 289, 135, 299]}, {\"cell\": \"M\", \"bbox\": [148, 289, 156, 299]}, {\"cell\": \"36\", \"bbox\": [178, 289, 187, 299]}, {\"cell\": \"1,3\", \"bbox\": [197, 289, 208, 299]}, {\"cell\": \"38\", \"bbox\": [1, 301, 10, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 301, 53, 310]}, {\"cell\": \"EC\", \"bbox\": [63, 301, 73, 310]}, {\"cell\": \"Iliac bone\", \"bbox\": [103, 301, 136, 310]}, {\"cell\": \"M\", \"bbox\": [148, 301, 156, 310]}, {\"cell\": \"36\", \"bbox\": [178, 301, 187, 310]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 301, 218, 310]}, {\"cell\": \"42\", \"bbox\": [1, 313, 10, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 313, 53, 322]}, {\"cell\": \"CS II\", \"bbox\": [63, 313, 79, 322]}, {\"cell\": \"humerus\", \"bbox\": [103, 313, 133, 322]}, {\"cell\": \"F\", \"bbox\": [148, 313, 154, 322]}, {\"cell\": \"15\", \"bbox\": [178, 313, 187, 322]}, {\"cell\": \"1,3\", \"bbox\": [197, 313, 208, 322]}, {\"cell\": \"43\", \"bbox\": [1, 325, 10, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 325, 53, 334]}, {\"cell\": \"CS II\", \"bbox\": [63, 325, 79, 334]}, {\"cell\": \"humerus\", \"bbox\": [103, 325, 133, 334]}, {\"cell\": \"F\", \"bbox\": [148, 325, 154, 334]}, {\"cell\": \"49\", \"bbox\": [178, 325, 187, 334]}, {\"cell\": \"1,3\", \"bbox\": [197, 325, 208, 334]}, {\"cell\": \"47\", \"bbox\": [1, 337, 10, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 337, 57, 346]}, {\"cell\": \"EC\", \"bbox\": [63, 337, 73, 346]}, {\"cell\": \"phalanx\", \"bbox\": [103, 337, 130, 346]}, {\"cell\": \"M\", \"bbox\": [148, 337, 156, 346]}, {\"cell\": \"39\", \"bbox\": [178, 337, 187, 346]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 337, 218, 346]}, {\"cell\": \"47\", \"bbox\": [1, 349, 10, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 349, 58, 358]}, {\"cell\": \"CS I\", \"bbox\": [63, 349, 78, 358]}, {\"cell\": \"phalanx\", \"bbox\": [103, 349, 130, 358]}, {\"cell\": \"M\", \"bbox\": [148, 349, 156, 358]}, {\"cell\": \"39\", \"bbox\": [178, 349, 187, 358]}, {\"cell\": \"1,3\", \"bbox\": [197, 349, 208, 358]}, {\"cell\": \"48\", \"bbox\": [1, 361, 10, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 361, 57, 370]}, {\"cell\": \"CS III\", \"bbox\": [63, 361, 81, 370]}, {\"cell\": \"tibia\", \"bbox\": [103, 361, 119, 370]}, {\"cell\": \"M\", \"bbox\": [148, 361, 156, 370]}, {\"cell\": \"35\", \"bbox\": [178, 361, 187, 370]}, {\"cell\": \"1,3\", \"bbox\": [197, 361, 208, 370]}, {\"cell\": \"48\", \"bbox\": [1, 373, 10, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 373, 58, 382]}, {\"cell\": \"EC\", \"bbox\": [63, 373, 73, 382]}, {\"cell\": \"femur\", \"bbox\": [103, 373, 124, 382]}, {\"cell\": \"M\", \"bbox\": [148, 373, 156, 382]}, {\"cell\": \"35\", \"bbox\": [178, 373, 187, 382]}, {\"cell\": \"1,3\", \"bbox\": [197, 373, 208, 382]}, {\"cell\": \"50\", \"bbox\": [1, 385, 10, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 385, 57, 394]}, {\"cell\": \"CS I\", \"bbox\": [63, 385, 78, 394]}, {\"cell\": \"femur\", \"bbox\": [103, 385, 124, 394]}, {\"cell\": \"F\", \"bbox\": [148, 385, 154, 394]}, {\"cell\": \"42\", \"bbox\": [178, 385, 187, 394]}, {\"cell\": \"1,3\", \"bbox\": [197, 385, 208, 394]}, {\"cell\": \"52\", \"bbox\": [1, 397, 10, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 397, 57, 406]}, {\"cell\": \"CS I\", \"bbox\": [63, 397, 78, 406]}, {\"cell\": \"femur\", \"bbox\": [103, 397, 124, 406]}, {\"cell\": \"F\", \"bbox\": [148, 397, 154, 406]}, {\"cell\": \"23\", \"bbox\": [178, 397, 187, 406]}, {\"cell\": \"1,3\", \"bbox\": [197, 397, 208, 406]}, {\"cell\": \"54\", \"bbox\": [1, 409, 10, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 409, 57, 418]}, {\"cell\": \"EC\", \"bbox\": [63, 409, 73, 418]}, {\"cell\": \"phalanx\", \"bbox\": [103, 409, 130, 418]}, {\"cell\": \"F\", \"bbox\": [148, 409, 154, 418]}, {\"cell\": \"12\", \"bbox\": [178, 409, 187, 418]}, {\"cell\": \"1,3\", \"bbox\": [197, 409, 208, 418]}, {\"cell\": \"61\", \"bbox\": [1, 421, 10, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 421, 53, 430]}, {\"cell\": \"EC\", \"bbox\": [63, 421, 73, 430]}, {\"cell\": \"ilium\", \"bbox\": [103, 421, 121, 430]}, {\"cell\": \"M\", \"bbox\": [148, 421, 156, 430]}, {\"cell\": \"6\", \"bbox\": [178, 421, 184, 430]}, {\"cell\": \"1,3\", \"bbox\": [197, 421, 208, 430]}, {\"cell\": \"64\", \"bbox\": [1, 433, 10, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 433, 53, 442]}, {\"cell\": \"EC\", \"bbox\": [63, 433, 73, 442]}, {\"cell\": \"metacarpal\", \"bbox\": [103, 433, 140, 442]}, {\"cell\": \"F\", \"bbox\": [148, 433, 154, 442]}, {\"cell\": \"29\", \"bbox\": [178, 433, 187, 442]}, {\"cell\": \"1,2,3,4\", \"bbox\": [197, 433, 218, 442]}, {\"cell\": \"68\", \"bbox\": [1, 445, 10, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 445, 57, 454]}, {\"cell\": \"CS I\", \"bbox\": [63, 445, 78, 454]}, {\"cell\": \"acromion\", \"bbox\": [103, 445, 135, 454]}, {\"cell\": \"F\", \"bbox\": [148, 445, 154, 454]}, {\"cell\": \"24\", \"bbox\": [178, 445, 187, 454]}, {\"cell\": \"1,3\", \"bbox\": [197, 445, 208, 454]}, {\"cell\": \"69\", \"bbox\": [1, 457, 10, 466]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 457, 53, 466]}, {\"cell\": \"CS I\", \"bbox\": [63, 457, 78, 466]}, {\"cell\": \"pelvis\", \"bbox\": [103, 457, 123, 466]}, {\"cell\": \"M\", \"bbox\": [148, 457, 156, 466]}, {\"cell\": \"33\", \"bbox\": [178, 457, 187, 466]}, {\"cell\": \"1,3\", \"bbox\": [197, 457, 208, 466]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3027091_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}57{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"10\\\"><b>LC<sub>50</sub> for females ten times greaterthan for males</b></td></tr><tr><td colspan=\\\"3\\\"><b>Substance</b></td><td colspan=\\\"5\\\"><b>Classification probabilities</b></td><td colspan=\\\"2\\\"><b>Mean no. animals</b></td></tr><tr><td><b>LC<sub>50</sub> (females)</b></td><td><b>LC<sub>50</sub> (males)</b></td><td><b>Slope</b></td><td><b>Class 1</b></td><td><b>Class 2</b></td><td><b>Class 3</b></td><td><b>Class 4</b></td><td><b>Class 5</b></td><td><b>Tested</b></td><td><b>Deaths</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>0.03</td><td>4.0</td><td><b>92.9</b></td><td>7.1</td><td>0.0</td><td>0.0</td><td>0.0</td><td>3.0</td><td>1.3</td></tr><tr><td>[EMPTY_CELL]</td><td>0.15</td><td>4.0</td><td>3.5</td><td><b>96.1</b></td><td>0.4</td><td>0.0</td><td>0.0</td><td>7.2</td><td>0.4</td></tr><tr><td>[EMPTY_CELL]</td><td>0.70</td><td>4.0</td><td>0.0</td><td>57.5</td><td><b>40.3</b></td><td>2.0</td><td>0.2</td><td>10.7</td><td>1.3</td></tr><tr><td>[EMPTY_CELL]</td><td>1.00</td><td>4.0</td><td>0.0</td><td>20.4</td><td><b>78.1</b></td><td>1.0</td><td>0.5</td><td>7.8</td><td>0.7</td></tr><tr><td>[EMPTY_CELL]</td><td>1.10</td><td>4.0</td><td>0.0</td><td>14.0</td><td>84.0</td><td><b>1.4</b></td><td>0.5</td><td>7.7</td><td>0.6</td></tr><tr><td>[EMPTY_CELL]</td><td>2.50</td><td>4.0</td><td>0.0</td><td>0.0</td><td>8.1</td><td><b>90.9</b></td><td>0.9</td><td>7.5</td><td>0.4</td></tr><tr><td>[EMPTY_CELL]</td><td>10.00</td><td>4.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>19.9</td><td><b>80.1</b></td><td>7.5</td><td>0.6</td></tr><tr><td>[EMPTY_CELL]</td><td>0.03</td><td>10.0</td><td><b>99.7</b></td><td>0.3</td><td>0.0</td><td>0.0</td><td>0.0</td><td>2.1</td><td>1.0</td></tr><tr><td>[EMPTY_CELL]</td><td>0.15</td><td>10.0</td><td>0.0</td><td><b>100.0</b></td><td>0.0</td><td>0.0</td><td>0.0</td><td>7.0</td><td>0.0</td></tr><tr><td>[EMPTY_CELL]</td><td>0.70</td><td>10.0</td><td>0.0</td><td>11.3</td><td><b>88.7</b></td><td>0.0</td><td>0.0</td><td>9.2</td><td>0.4</td></tr><tr><td>[EMPTY_CELL]</td><td>1.00</td><td>10.0</td><td>0.0</td><td>0.1</td><td><b>99.9</b></td><td>0.0</td><td>0.0</td><td>7.0</td><td>0.0</td></tr><tr><td>[EMPTY_CELL]</td><td>1.10</td><td>10.0</td><td>0.0</td><td>0.0</td><td>100.0</td><td><b>0.0</b></td><td>0.0</td><td>7.0</td><td>0.0</td></tr><tr><td>[EMPTY_CELL]</td><td>2.50</td><td>10.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td><b>100.0</b></td><td>0.0</td><td>7.0</td><td>0.0</td></tr><tr><td>[EMPTY_CELL]</td><td>10.00</td><td>10.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.1</td><td><b>99.9</b></td><td>7.0</td><td>0.0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>LC<sub>50</sub> for females ten times greaterthan for males</b>\", \"bbox\": [141, 7, 345, 19]}, {\"cell\": \"<b>Substance</b>\", \"bbox\": [64, 26, 106, 37]}, {\"cell\": \"<b>Classification probabilities</b>\", \"bbox\": [232, 26, 339, 37]}, {\"cell\": \"<b>Mean no. animals</b>\", \"bbox\": [409, 26, 481, 37]}, {\"cell\": \"<b>LC<sub>50</sub> (females)</b>\", \"bbox\": [1, 45, 61, 58]}, {\"cell\": \"<b>LC<sub>50</sub> (males)</b>\", \"bbox\": [75, 45, 129, 58]}, {\"cell\": \"<b>Slope</b>\", \"bbox\": [142, 45, 166, 57]}, {\"cell\": \"<b>Class 1</b>\", \"bbox\": [180, 45, 211, 57]}, {\"cell\": \"<b>Class 2</b>\", \"bbox\": [225, 45, 256, 57]}, {\"cell\": \"<b>Class 3</b>\", \"bbox\": [270, 45, 301, 57]}, {\"cell\": \"<b>Class 4</b>\", \"bbox\": [315, 45, 346, 57]}, {\"cell\": \"<b>Class 5</b>\", \"bbox\": [359, 45, 391, 57]}, {\"cell\": \"<b>Tested</b>\", \"bbox\": [404, 45, 434, 57]}, {\"cell\": \"<b>Deaths</b>\", \"bbox\": [451, 45, 482, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 65, 15, 76]}, {\"cell\": \"0.03\", \"bbox\": [80, 65, 99, 76]}, {\"cell\": \"4.0\", \"bbox\": [147, 65, 161, 76]}, {\"cell\": \"<b>92.9</b>\", \"bbox\": [180, 65, 201, 74]}, {\"cell\": \"7.1\", \"bbox\": [236, 65, 251, 76]}, {\"cell\": \"0.0\", \"bbox\": [280, 65, 294, 76]}, {\"cell\": \"0.0\", \"bbox\": [326, 65, 340, 76]}, {\"cell\": \"0.0\", \"bbox\": [365, 65, 380, 76]}, {\"cell\": \"3.0\", \"bbox\": [409, 65, 423, 76]}, {\"cell\": \"1.3\", \"bbox\": [451, 65, 466, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 76, 15, 87]}, {\"cell\": \"0.15\", \"bbox\": [80, 76, 99, 87]}, {\"cell\": \"4.0\", \"bbox\": [147, 76, 161, 87]}, {\"cell\": \"3.5\", \"bbox\": [186, 76, 200, 87]}, {\"cell\": \"<b>96.1</b>\", \"bbox\": [230, 76, 252, 85]}, {\"cell\": \"0.4\", \"bbox\": [280, 76, 294, 87]}, {\"cell\": \"0.0\", \"bbox\": [326, 76, 340, 87]}, {\"cell\": \"0.0\", \"bbox\": [365, 76, 380, 87]}, {\"cell\": \"7.2\", \"bbox\": [409, 76, 423, 87]}, {\"cell\": \"0.4\", \"bbox\": [451, 76, 466, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 88, 15, 99]}, {\"cell\": \"0.70\", \"bbox\": [80, 88, 99, 99]}, {\"cell\": \"4.0\", \"bbox\": [147, 88, 161, 99]}, {\"cell\": \"0.0\", \"bbox\": [186, 88, 200, 99]}, {\"cell\": \"57.5\", \"bbox\": [231, 88, 251, 99]}, {\"cell\": \"<b>40.3</b>\", \"bbox\": [274, 88, 295, 97]}, {\"cell\": \"2.0\", \"bbox\": [326, 88, 340, 99]}, {\"cell\": \"0.2\", \"bbox\": [365, 88, 380, 99]}, {\"cell\": \"10.7\", \"bbox\": [404, 88, 423, 99]}, {\"cell\": \"1.3\", \"bbox\": [451, 88, 466, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 20, 110]}, {\"cell\": \"1.00\", \"bbox\": [80, 99, 99, 110]}, {\"cell\": \"4.0\", \"bbox\": [147, 99, 161, 110]}, {\"cell\": \"0.0\", \"bbox\": [186, 99, 200, 110]}, {\"cell\": \"20.4\", \"bbox\": [231, 99, 251, 110]}, {\"cell\": \"<b>78.1</b>\", \"bbox\": [274, 99, 295, 108]}, {\"cell\": \"1.0\", \"bbox\": [326, 99, 340, 110]}, {\"cell\": \"0.5\", \"bbox\": [365, 99, 380, 110]}, {\"cell\": \"7.8\", \"bbox\": [409, 99, 423, 110]}, {\"cell\": \"0.7\", \"bbox\": [451, 99, 466, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 20, 122]}, {\"cell\": \"1.10\", \"bbox\": [80, 111, 99, 122]}, {\"cell\": \"4.0\", \"bbox\": [147, 111, 161, 122]}, {\"cell\": \"0.0\", \"bbox\": [186, 111, 200, 122]}, {\"cell\": \"14.0\", \"bbox\": [231, 111, 251, 122]}, {\"cell\": \"84.0\", \"bbox\": [275, 111, 294, 122]}, {\"cell\": \"<b>1.4</b>\", \"bbox\": [326, 111, 341, 120]}, {\"cell\": \"0.5\", \"bbox\": [365, 111, 380, 122]}, {\"cell\": \"7.7\", \"bbox\": [409, 111, 423, 122]}, {\"cell\": \"0.6\", \"bbox\": [451, 111, 466, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 20, 133]}, {\"cell\": \"2.50\", \"bbox\": [80, 122, 99, 133]}, {\"cell\": \"4.0\", \"bbox\": [147, 122, 161, 133]}, {\"cell\": \"0.0\", \"bbox\": [186, 122, 200, 133]}, {\"cell\": \"0.0\", \"bbox\": [236, 122, 251, 133]}, {\"cell\": \"8.1\", \"bbox\": [280, 122, 294, 133]}, {\"cell\": \"<b>90.9</b>\", \"bbox\": [320, 122, 341, 131]}, {\"cell\": \"0.9\", \"bbox\": [365, 122, 380, 133]}, {\"cell\": \"7.5\", \"bbox\": [409, 122, 423, 133]}, {\"cell\": \"0.4\", \"bbox\": [451, 122, 466, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 133, 25, 145]}, {\"cell\": \"10.00\", \"bbox\": [75, 133, 99, 145]}, {\"cell\": \"4.0\", \"bbox\": [147, 133, 161, 145]}, {\"cell\": \"0.0\", \"bbox\": [186, 133, 200, 145]}, {\"cell\": \"0.0\", \"bbox\": [236, 133, 251, 145]}, {\"cell\": \"0.0\", \"bbox\": [280, 133, 294, 145]}, {\"cell\": \"19.9\", \"bbox\": [321, 133, 340, 145]}, {\"cell\": \"<b>80.1</b>\", \"bbox\": [359, 134, 381, 142]}, {\"cell\": \"7.5\", \"bbox\": [409, 133, 423, 145]}, {\"cell\": \"0.6\", \"bbox\": [451, 133, 466, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 145, 15, 156]}, {\"cell\": \"0.03\", \"bbox\": [80, 145, 99, 156]}, {\"cell\": \"10.0\", \"bbox\": [142, 145, 161, 156]}, {\"cell\": \"<b>99.7</b>\", \"bbox\": [180, 145, 201, 154]}, {\"cell\": \"0.3\", \"bbox\": [236, 145, 251, 156]}, {\"cell\": \"0.0\", \"bbox\": [280, 145, 294, 156]}, {\"cell\": \"0.0\", \"bbox\": [326, 145, 340, 156]}, {\"cell\": \"0.0\", \"bbox\": [365, 145, 380, 156]}, {\"cell\": \"2.1\", \"bbox\": [409, 145, 423, 156]}, {\"cell\": \"1.0\", \"bbox\": [451, 145, 466, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 15, 168]}, {\"cell\": \"0.15\", \"bbox\": [80, 156, 99, 168]}, {\"cell\": \"10.0\", \"bbox\": [142, 156, 161, 168]}, {\"cell\": \"0.0\", \"bbox\": [186, 156, 200, 168]}, {\"cell\": \"<b>100.0</b>\", \"bbox\": [225, 156, 252, 165]}, {\"cell\": \"0.0\", \"bbox\": [280, 156, 294, 168]}, {\"cell\": \"0.0\", \"bbox\": [326, 156, 340, 168]}, {\"cell\": \"0.0\", \"bbox\": [365, 156, 380, 168]}, {\"cell\": \"7.0\", \"bbox\": [409, 156, 423, 168]}, {\"cell\": \"0.0\", \"bbox\": [451, 156, 466, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 168, 15, 179]}, {\"cell\": \"0.70\", \"bbox\": [80, 168, 99, 179]}, {\"cell\": \"10.0\", \"bbox\": [142, 168, 161, 179]}, {\"cell\": \"0.0\", \"bbox\": [186, 168, 200, 179]}, {\"cell\": \"11.3\", \"bbox\": [231, 168, 251, 179]}, {\"cell\": \"<b>88.7</b>\", \"bbox\": [274, 168, 295, 177]}, {\"cell\": \"0.0\", \"bbox\": [326, 168, 340, 179]}, {\"cell\": \"0.0\", \"bbox\": [365, 168, 380, 179]}, {\"cell\": \"9.2\", \"bbox\": [409, 168, 423, 179]}, {\"cell\": \"0.4\", \"bbox\": [451, 168, 466, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 20, 191]}, {\"cell\": \"1.00\", \"bbox\": [80, 179, 99, 191]}, {\"cell\": \"10.0\", \"bbox\": [142, 179, 161, 191]}, {\"cell\": \"0.0\", \"bbox\": [186, 179, 200, 191]}, {\"cell\": \"0.1\", \"bbox\": [236, 179, 251, 191]}, {\"cell\": \"<b>99.9</b>\", \"bbox\": [274, 179, 295, 188]}, {\"cell\": \"0.0\", \"bbox\": [326, 179, 340, 191]}, {\"cell\": \"0.0\", \"bbox\": [365, 179, 380, 191]}, {\"cell\": \"7.0\", \"bbox\": [409, 179, 423, 191]}, {\"cell\": \"0.0\", \"bbox\": [451, 179, 466, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 191, 20, 202]}, {\"cell\": \"1.10\", \"bbox\": [80, 191, 99, 202]}, {\"cell\": \"10.0\", \"bbox\": [142, 191, 161, 202]}, {\"cell\": \"0.0\", \"bbox\": [186, 191, 200, 202]}, {\"cell\": \"0.0\", \"bbox\": [236, 191, 251, 202]}, {\"cell\": \"100.0\", \"bbox\": [270, 191, 294, 202]}, {\"cell\": \"<b>0.0</b>\", \"bbox\": [326, 191, 341, 200]}, {\"cell\": \"0.0\", \"bbox\": [365, 191, 380, 202]}, {\"cell\": \"7.0\", \"bbox\": [409, 191, 423, 202]}, {\"cell\": \"0.0\", \"bbox\": [451, 191, 466, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 202, 20, 213]}, {\"cell\": \"2.50\", \"bbox\": [80, 202, 99, 213]}, {\"cell\": \"10.0\", \"bbox\": [142, 202, 161, 213]}, {\"cell\": \"0.0\", \"bbox\": [186, 202, 200, 213]}, {\"cell\": \"0.0\", \"bbox\": [236, 202, 251, 213]}, {\"cell\": \"0.0\", \"bbox\": [280, 202, 294, 213]}, {\"cell\": \"<b>100.0</b>\", \"bbox\": [315, 202, 341, 211]}, {\"cell\": \"0.0\", \"bbox\": [365, 202, 380, 213]}, {\"cell\": \"7.0\", \"bbox\": [409, 202, 423, 213]}, {\"cell\": \"0.0\", \"bbox\": [451, 202, 466, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 214, 25, 225]}, {\"cell\": \"10.00\", \"bbox\": [75, 214, 99, 225]}, {\"cell\": \"10.0\", \"bbox\": [142, 214, 161, 225]}, {\"cell\": \"0.0\", \"bbox\": [186, 214, 200, 225]}, {\"cell\": \"0.0\", \"bbox\": [236, 214, 251, 225]}, {\"cell\": \"0.0\", \"bbox\": [280, 214, 294, 225]}, {\"cell\": \"0.1\", \"bbox\": [326, 214, 340, 225]}, {\"cell\": \"<b>99.9</b>\", \"bbox\": [359, 214, 381, 223]}, {\"cell\": \"7.0\", \"bbox\": [409, 214, 423, 225]}, {\"cell\": \"0.0\", \"bbox\": [451, 214, 466, 225]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3057438_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}58{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Compound</b></td><td colspan=\\\"3\\\"><b>AChE</b></td><td colspan=\\\"3\\\"><b>BuChE</b></td></tr><tr><td><b><i>In vitro</i></b></td><td colspan=\\\"2\\\"><b>Computational</b></td><td><b><i>In vitro</i></b></td><td colspan=\\\"2\\\"><b>Computational</b></td></tr><tr><td><b>IC<sub>50</sub> (μM) ± SEM</b></td><td><b><i>ΔG</i> (kcal mol<sup>−1</sup>)</b></td><td><b><i>K</i><sub>i</sub> (μM)</b></td><td><b>IC<sub>50</sub> (μM) ± SEM</b></td><td><b><i>ΔG</i> (kcal mol<sup>−1</sup>)</b></td><td><b><i>K</i><sub>i</sub> (μM)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>0.340 ± 0.007</td><td>−6.29</td><td>24.54</td><td>0.499 ± 0.003</td><td>−6.47</td><td>18.17</td></tr><tr><td>[EMPTY_CELL]</td><td>356.1 ± 4.73</td><td>−5.29</td><td>132.58</td><td>0.553 ± 0.038</td><td>−6.21</td><td>27.87</td></tr><tr><td>[EMPTY_CELL]</td><td>467.9 ± 4.98</td><td>−5.05</td><td>197.98</td><td>NT</td><td>−5.15</td><td>168.81</td></tr><tr><td>[EMPTY_CELL]</td><td>12.69 ± 0.62</td><td>−6.16</td><td>30.68</td><td>NT</td><td>−5.37</td><td>114.9</td></tr><tr><td>[EMPTY_CELL]</td><td>45.53 ± 1.36</td><td>−6.21</td><td>28.08</td><td>NT</td><td>−5.31</td><td>129.13</td></tr><tr><td>[EMPTY_CELL]</td><td>3.926 ± 0.014</td><td>−6.51</td><td>16.96</td><td>NT</td><td>−5.98</td><td>41.56</td></tr><tr><td>[EMPTY_CELL]</td><td>96.37 ± 2.81</td><td>−5.6</td><td>78.3</td><td>NT</td><td>−6.23</td><td>27.26</td></tr><tr><td>[EMPTY_CELL]</td><td>584.4 ± 7.92</td><td>−5.03</td><td>205.05</td><td>NT</td><td>−5.22</td><td>148.87</td></tr><tr><td>[EMPTY_CELL]</td><td>101.2 ± 1.58</td><td>−5.63</td><td>74.59</td><td>NT</td><td>−5.91</td><td>46.66</td></tr><tr><td>[EMPTY_CELL]</td><td>140.7 ± 3.11</td><td>−5.46</td><td>99.58</td><td>NT</td><td>−6.3</td><td>24.18</td></tr><tr><td>[EMPTY_CELL]</td><td>10.67 ± 0.56</td><td>−6.08</td><td>34.85</td><td>NT</td><td>−5.69</td><td>67.04</td></tr><tr><td>[EMPTY_CELL]</td><td>872.0 ± 4.38</td><td>−5.4</td><td>109.84</td><td>NT</td><td>−5.22</td><td>149.56</td></tr><tr><td>[EMPTY_CELL]</td><td>4.864 ± 0.81</td><td>−6.68</td><td>12.76</td><td>1.757 ± 0.035</td><td>−6.19</td><td>28.79</td></tr><tr><td>[EMPTY_CELL]</td><td>11.54 ± 0.35</td><td>−6.38</td><td>21.08</td><td>0.024 ± 0.002</td><td>−6.99</td><td>7.52</td></tr><tr><td>[EMPTY_CELL]</td><td>2.662 ± 0.084</td><td>−7.3</td><td>4.46</td><td>NT</td><td>−6.03</td><td>38.26</td></tr><tr><td>[EMPTY_CELL]</td><td>1.450 ± 0.047</td><td>−7.05</td><td>6.8</td><td>5.718 ± 0.874</td><td>−6.22</td><td>27.57</td></tr><tr><td>[EMPTY_CELL]</td><td>54.85 ± 0.92</td><td>−5.77</td><td>58.85</td><td>NT</td><td>−6.44</td><td>19.09</td></tr><tr><td>[EMPTY_CELL]</td><td>0.2645 ± 0.009</td><td>−6.71</td><td>11.97</td><td>5.368 ± 0.278</td><td>−6.33</td><td>23.02</td></tr><tr><td>[EMPTY_CELL]</td><td>0.021 ± 0.005</td><td>−6.01</td><td>39.45</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0.225 ± 0.04</td><td>–</td><td>–</td><td>5.1 ± 0.2*</td><td>−5.35</td><td>119.26</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Compound</b>\", \"bbox\": [1, 34, 37, 43]}, {\"cell\": \"<b>AChE</b>\", \"bbox\": [143, 4, 161, 14]}, {\"cell\": \"<b>BuChE</b>\", \"bbox\": [345, 4, 367, 14]}, {\"cell\": \"<b><i>In vitro</i></b>\", \"bbox\": [76, 25, 100, 33]}, {\"cell\": \"<b>Computational</b>\", \"bbox\": [166, 19, 214, 28]}, {\"cell\": \"<b><i>In vitro</i></b>\", \"bbox\": [280, 25, 304, 33]}, {\"cell\": \"<b>Computational</b>\", \"bbox\": [370, 19, 418, 28]}, {\"cell\": \"<b>IC<sub>50</sub> (μM) ± SEM</b>\", \"bbox\": [62, 34, 114, 44]}, {\"cell\": \"<b><i>ΔG</i> (kcal mol<sup>−1</sup>)</b>\", \"bbox\": [139, 33, 192, 43]}, {\"cell\": \"<b><i>K</i><sub>i</sub> (μM)</b>\", \"bbox\": [217, 34, 241, 44]}, {\"cell\": \"<b>IC<sub>50</sub> (μM) ± SEM</b>\", \"bbox\": [266, 34, 318, 44]}, {\"cell\": \"<b><i>ΔG</i> (kcal mol<sup>−1</sup>)</b>\", \"bbox\": [343, 33, 396, 43]}, {\"cell\": \"<b><i>K</i><sub>i</sub> (μM)</b>\", \"bbox\": [421, 34, 445, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 46, 6, 54]}, {\"cell\": \"0.340 ± 0.007\", \"bbox\": [68, 46, 111, 55]}, {\"cell\": \"−6.29\", \"bbox\": [155, 46, 176, 55]}, {\"cell\": \"24.54\", \"bbox\": [222, 46, 240, 55]}, {\"cell\": \"0.499 ± 0.003\", \"bbox\": [271, 46, 314, 55]}, {\"cell\": \"−6.47\", \"bbox\": [359, 46, 380, 55]}, {\"cell\": \"18.17\", \"bbox\": [426, 46, 445, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 55, 6, 63]}, {\"cell\": \"356.1 ± 4.73\", \"bbox\": [68, 55, 107, 64]}, {\"cell\": \"−5.29\", \"bbox\": [155, 55, 176, 64]}, {\"cell\": \"132.58\", \"bbox\": [218, 55, 240, 64]}, {\"cell\": \"0.553 ± 0.038\", \"bbox\": [271, 55, 314, 64]}, {\"cell\": \"−6.21\", \"bbox\": [359, 55, 380, 64]}, {\"cell\": \"27.87\", \"bbox\": [426, 55, 445, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 64, 6, 72]}, {\"cell\": \"467.9 ± 4.98\", \"bbox\": [68, 64, 107, 73]}, {\"cell\": \"−5.05\", \"bbox\": [155, 64, 176, 73]}, {\"cell\": \"197.98\", \"bbox\": [218, 64, 240, 73]}, {\"cell\": \"NT\", \"bbox\": [287, 64, 297, 73]}, {\"cell\": \"−5.15\", \"bbox\": [359, 64, 380, 73]}, {\"cell\": \"168.81\", \"bbox\": [422, 64, 445, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 73, 6, 81]}, {\"cell\": \"12.69 ± 0.62\", \"bbox\": [68, 73, 107, 82]}, {\"cell\": \"−6.16\", \"bbox\": [155, 73, 176, 82]}, {\"cell\": \"30.68\", \"bbox\": [222, 73, 240, 82]}, {\"cell\": \"NT\", \"bbox\": [287, 73, 297, 82]}, {\"cell\": \"−5.37\", \"bbox\": [359, 73, 380, 82]}, {\"cell\": \"114.9\", \"bbox\": [422, 73, 441, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 82, 6, 90]}, {\"cell\": \"45.53 ± 1.36\", \"bbox\": [68, 82, 107, 91]}, {\"cell\": \"−6.21\", \"bbox\": [155, 82, 176, 91]}, {\"cell\": \"28.08\", \"bbox\": [222, 82, 240, 91]}, {\"cell\": \"NT\", \"bbox\": [287, 82, 297, 91]}, {\"cell\": \"−5.31\", \"bbox\": [359, 82, 380, 91]}, {\"cell\": \"129.13\", \"bbox\": [422, 82, 445, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 91, 6, 99]}, {\"cell\": \"3.926 ± 0.014\", \"bbox\": [68, 91, 111, 100]}, {\"cell\": \"−6.51\", \"bbox\": [155, 91, 176, 100]}, {\"cell\": \"16.96\", \"bbox\": [222, 91, 240, 100]}, {\"cell\": \"NT\", \"bbox\": [287, 91, 297, 100]}, {\"cell\": \"−5.98\", \"bbox\": [359, 91, 380, 100]}, {\"cell\": \"41.56\", \"bbox\": [426, 91, 445, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 100, 10, 108]}, {\"cell\": \"96.37 ± 2.81\", \"bbox\": [68, 100, 107, 109]}, {\"cell\": \"−5.6\", \"bbox\": [155, 100, 172, 109]}, {\"cell\": \"78.3\", \"bbox\": [222, 100, 237, 109]}, {\"cell\": \"NT\", \"bbox\": [287, 100, 297, 109]}, {\"cell\": \"−6.23\", \"bbox\": [359, 100, 380, 109]}, {\"cell\": \"27.26\", \"bbox\": [426, 100, 445, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 109, 10, 117]}, {\"cell\": \"584.4 ± 7.92\", \"bbox\": [68, 109, 107, 118]}, {\"cell\": \"−5.03\", \"bbox\": [155, 109, 176, 118]}, {\"cell\": \"205.05\", \"bbox\": [218, 109, 240, 118]}, {\"cell\": \"NT\", \"bbox\": [287, 109, 297, 118]}, {\"cell\": \"−5.22\", \"bbox\": [359, 109, 380, 118]}, {\"cell\": \"148.87\", \"bbox\": [422, 109, 445, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 118, 10, 126]}, {\"cell\": \"101.2 ± 1.58\", \"bbox\": [68, 118, 107, 127]}, {\"cell\": \"−5.63\", \"bbox\": [155, 118, 176, 127]}, {\"cell\": \"74.59\", \"bbox\": [222, 118, 240, 127]}, {\"cell\": \"NT\", \"bbox\": [287, 118, 297, 127]}, {\"cell\": \"−5.91\", \"bbox\": [359, 118, 380, 127]}, {\"cell\": \"46.66\", \"bbox\": [426, 118, 445, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 127, 10, 135]}, {\"cell\": \"140.7 ± 3.11\", \"bbox\": [68, 127, 107, 136]}, {\"cell\": \"−5.46\", \"bbox\": [155, 127, 176, 136]}, {\"cell\": \"99.58\", \"bbox\": [222, 127, 240, 136]}, {\"cell\": \"NT\", \"bbox\": [287, 127, 297, 136]}, {\"cell\": \"−6.3\", \"bbox\": [359, 127, 376, 136]}, {\"cell\": \"24.18\", \"bbox\": [426, 127, 445, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 136, 10, 144]}, {\"cell\": \"10.67 ± 0.56\", \"bbox\": [68, 136, 107, 145]}, {\"cell\": \"−6.08\", \"bbox\": [155, 136, 176, 145]}, {\"cell\": \"34.85\", \"bbox\": [222, 136, 240, 145]}, {\"cell\": \"NT\", \"bbox\": [287, 136, 297, 145]}, {\"cell\": \"−5.69\", \"bbox\": [359, 136, 380, 145]}, {\"cell\": \"67.04\", \"bbox\": [426, 136, 445, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 145, 10, 153]}, {\"cell\": \"872.0 ± 4.38\", \"bbox\": [68, 145, 107, 154]}, {\"cell\": \"−5.4\", \"bbox\": [155, 145, 172, 154]}, {\"cell\": \"109.84\", \"bbox\": [218, 145, 240, 154]}, {\"cell\": \"NT\", \"bbox\": [287, 145, 297, 154]}, {\"cell\": \"−5.22\", \"bbox\": [359, 145, 380, 154]}, {\"cell\": \"149.56\", \"bbox\": [422, 145, 445, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 154, 10, 161]}, {\"cell\": \"4.864 ± 0.81\", \"bbox\": [68, 154, 107, 163]}, {\"cell\": \"−6.68\", \"bbox\": [155, 154, 176, 163]}, {\"cell\": \"12.76\", \"bbox\": [222, 154, 240, 163]}, {\"cell\": \"1.757 ± 0.035\", \"bbox\": [271, 154, 314, 163]}, {\"cell\": \"−6.19\", \"bbox\": [359, 154, 380, 163]}, {\"cell\": \"28.79\", \"bbox\": [426, 154, 445, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 163, 10, 170]}, {\"cell\": \"11.54 ± 0.35\", \"bbox\": [68, 163, 107, 172]}, {\"cell\": \"−6.38\", \"bbox\": [155, 163, 176, 172]}, {\"cell\": \"21.08\", \"bbox\": [222, 163, 240, 172]}, {\"cell\": \"0.024 ± 0.002\", \"bbox\": [271, 163, 314, 172]}, {\"cell\": \"−6.99\", \"bbox\": [359, 163, 380, 172]}, {\"cell\": \"7.52\", \"bbox\": [429, 163, 444, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 172, 10, 179]}, {\"cell\": \"2.662 ± 0.084\", \"bbox\": [68, 172, 111, 181]}, {\"cell\": \"−7.3\", \"bbox\": [155, 172, 172, 181]}, {\"cell\": \"4.46\", \"bbox\": [225, 172, 240, 181]}, {\"cell\": \"NT\", \"bbox\": [287, 172, 297, 181]}, {\"cell\": \"−6.03\", \"bbox\": [359, 172, 380, 181]}, {\"cell\": \"38.26\", \"bbox\": [426, 172, 445, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 181, 10, 188]}, {\"cell\": \"1.450 ± 0.047\", \"bbox\": [68, 181, 111, 190]}, {\"cell\": \"−7.05\", \"bbox\": [155, 181, 176, 190]}, {\"cell\": \"6.8\", \"bbox\": [225, 181, 236, 190]}, {\"cell\": \"5.718 ± 0.874\", \"bbox\": [271, 181, 314, 190]}, {\"cell\": \"−6.22\", \"bbox\": [359, 181, 380, 190]}, {\"cell\": \"27.57\", \"bbox\": [426, 181, 445, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 190, 10, 197]}, {\"cell\": \"54.85 ± 0.92\", \"bbox\": [68, 190, 107, 199]}, {\"cell\": \"−5.77\", \"bbox\": [155, 190, 176, 199]}, {\"cell\": \"58.85\", \"bbox\": [222, 190, 240, 199]}, {\"cell\": \"NT\", \"bbox\": [287, 190, 297, 199]}, {\"cell\": \"−6.44\", \"bbox\": [359, 190, 380, 199]}, {\"cell\": \"19.09\", \"bbox\": [426, 190, 445, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 199, 10, 206]}, {\"cell\": \"0.2645 ± 0.009\", \"bbox\": [65, 199, 111, 208]}, {\"cell\": \"−6.71\", \"bbox\": [155, 199, 176, 208]}, {\"cell\": \"11.97\", \"bbox\": [222, 199, 240, 208]}, {\"cell\": \"5.368 ± 0.278\", \"bbox\": [271, 199, 314, 208]}, {\"cell\": \"−6.33\", \"bbox\": [359, 199, 380, 208]}, {\"cell\": \"23.02\", \"bbox\": [426, 199, 445, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 208, 16, 215]}, {\"cell\": \"0.021 ± 0.005\", \"bbox\": [68, 208, 111, 217]}, {\"cell\": \"−6.01\", \"bbox\": [155, 208, 176, 217]}, {\"cell\": \"39.45\", \"bbox\": [222, 208, 240, 217]}, {\"cell\": \"–\", \"bbox\": [289, 211, 295, 215]}, {\"cell\": \"–\", \"bbox\": [365, 211, 371, 215]}, {\"cell\": \"–\", \"bbox\": [429, 211, 435, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 217, 15, 224]}, {\"cell\": \"0.225 ± 0.04\", \"bbox\": [68, 216, 107, 226]}, {\"cell\": \"–\", \"bbox\": [161, 220, 167, 224]}, {\"cell\": \"–\", \"bbox\": [225, 220, 231, 224]}, {\"cell\": \"5.1 ± 0.2*\", \"bbox\": [276, 216, 308, 226]}, {\"cell\": \"−5.35\", \"bbox\": [359, 216, 380, 226]}, {\"cell\": \"119.26\", \"bbox\": [422, 216, 444, 226]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6009888_013_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}59{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>p (vs. initial value)</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\"><b>Cholesterol</b> (mg*dl<sup>-1</sup> )</td></tr><tr><td>Initial resting value</td><td>[EMPTY_CELL]</td><td>n.a.</td></tr><tr><td>1 hour after initial test</td><td>[EMPTY_CELL]</td><td>0.300</td></tr><tr><td>24 hours after initial test</td><td>[EMPTY_CELL]</td><td>0.421</td></tr><tr><td>Final resting value</td><td>[EMPTY_CELL]</td><td><b>0.025</b></td></tr><tr><td colspan=\\\"3\\\"><b>HDL</b>2 (mg* dl<sup>-1</sup> )</td></tr><tr><td>Initial resting value</td><td>[EMPTY_CELL]</td><td>n.a.</td></tr><tr><td>1 hour after initial test</td><td>[EMPTY_CELL]</td><td>0.434</td></tr><tr><td>24 hours after initial test</td><td>[EMPTY_CELL]</td><td>0.458</td></tr><tr><td>Final resting value</td><td>[EMPTY_CELL]</td><td>0.995</td></tr><tr><td><b>LDL</b> (mg* dl<sup>-1</sup> )</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Initial resting value</td><td>[EMPTY_CELL]</td><td>n.a.</td></tr><tr><td>1 hour after initial test</td><td>[EMPTY_CELL]</td><td>0.341</td></tr><tr><td>24 hours after initial test</td><td>[EMPTY_CELL]</td><td>0.850</td></tr><tr><td>Final resting value</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Triglyceride</b> (mg* dl<sup>-1</sup> )</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Initial resting value</td><td>[EMPTY_CELL]</td><td>n.a.</td></tr><tr><td>1 hour after initial test</td><td>[EMPTY_CELL]</td><td>0.189</td></tr><tr><td>24 hours after initial test</td><td>[EMPTY_CELL]</td><td>0.061</td></tr><tr><td>Final resting value</td><td>[EMPTY_CELL]</td><td><b>0.006</b></td></tr><tr><td><b>NEFA</b> (mg* dl<sup>-1</sup> )</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Initial resting value</td><td>[EMPTY_CELL]</td><td>n.a.</td></tr><tr><td>1 hour after initial test</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>24 hours after initial test</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Final resting value</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>p (vs. initial value)</b>\", \"bbox\": [160, 15, 219, 27]}, {\"cell\": \"<b>Cholesterol</b> (mg*dl<sup>-1</sup> )\", \"bbox\": [1, 26, 68, 38]}, {\"cell\": \"Initial resting value\", \"bbox\": [1, 38, 56, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 38, 133, 49]}, {\"cell\": \"n.a.\", \"bbox\": [160, 38, 173, 49]}, {\"cell\": \"1 hour after initial test\", \"bbox\": [1, 49, 65, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 49, 133, 60]}, {\"cell\": \"0.300\", \"bbox\": [160, 49, 178, 60]}, {\"cell\": \"24 hours after initial test\", \"bbox\": [1, 60, 72, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 60, 133, 71]}, {\"cell\": \"0.421\", \"bbox\": [160, 60, 178, 71]}, {\"cell\": \"Final resting value\", \"bbox\": [1, 71, 55, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 71, 133, 82]}, {\"cell\": \"<b>0.025</b>\", \"bbox\": [160, 71, 178, 82]}, {\"cell\": \"<b>HDL</b>2 (mg* dl<sup>-1</sup> )\", \"bbox\": [1, 81, 51, 93]}, {\"cell\": \"Initial resting value\", \"bbox\": [1, 93, 56, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 93, 130, 104]}, {\"cell\": \"n.a.\", \"bbox\": [160, 93, 173, 104]}, {\"cell\": \"1 hour after initial test\", \"bbox\": [1, 104, 65, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 104, 130, 115]}, {\"cell\": \"0.434\", \"bbox\": [160, 104, 178, 115]}, {\"cell\": \"24 hours after initial test\", \"bbox\": [1, 115, 72, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 115, 130, 126]}, {\"cell\": \"0.458\", \"bbox\": [160, 115, 178, 126]}, {\"cell\": \"Final resting value\", \"bbox\": [1, 126, 55, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 126, 130, 137]}, {\"cell\": \"0.995\", \"bbox\": [160, 126, 178, 137]}, {\"cell\": \"<b>LDL</b> (mg* dl<sup>-1</sup> )\", \"bbox\": [1, 136, 46, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Initial resting value\", \"bbox\": [0, 148, 56, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 148, 133, 159]}, {\"cell\": \"n.a.\", \"bbox\": [160, 148, 173, 159]}, {\"cell\": \"1 hour after initial test\", \"bbox\": [0, 159, 65, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 159, 133, 170]}, {\"cell\": \"0.341\", \"bbox\": [160, 159, 178, 170]}, {\"cell\": \"24 hours after initial test\", \"bbox\": [0, 170, 71, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 170, 133, 181]}, {\"cell\": \"0.850\", \"bbox\": [160, 170, 178, 181]}, {\"cell\": \"Final resting value\", \"bbox\": [0, 181, 55, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 181, 133, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 181, 182, 192]}, {\"cell\": \"<b>Triglyceride</b> (mg* dl<sup>-1</sup> )\", \"bbox\": [0, 191, 71, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Initial resting value\", \"bbox\": [1, 203, 56, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 203, 133, 214]}, {\"cell\": \"n.a.\", \"bbox\": [160, 203, 173, 214]}, {\"cell\": \"1 hour after initial test\", \"bbox\": [1, 214, 65, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 214, 133, 225]}, {\"cell\": \"0.189\", \"bbox\": [160, 214, 178, 225]}, {\"cell\": \"24 hours after initial test\", \"bbox\": [1, 225, 72, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 225, 133, 236]}, {\"cell\": \"0.061\", \"bbox\": [160, 225, 178, 236]}, {\"cell\": \"Final resting value\", \"bbox\": [1, 236, 55, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 236, 133, 247]}, {\"cell\": \"<b>0.006</b>\", \"bbox\": [160, 236, 178, 247]}, {\"cell\": \"<b>NEFA</b> (mg* dl<sup>-1</sup> )\", \"bbox\": [1, 246, 51, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Initial resting value\", \"bbox\": [1, 258, 56, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 258, 140, 269]}, {\"cell\": \"n.a.\", \"bbox\": [160, 258, 173, 269]}, {\"cell\": \"1 hour after initial test\", \"bbox\": [1, 269, 65, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 269, 140, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 269, 182, 281]}, {\"cell\": \"24 hours after initial test\", \"bbox\": [1, 280, 71, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 280, 140, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 280, 182, 292]}, {\"cell\": \"Final resting value\", \"bbox\": [1, 291, 55, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 291, 140, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 291, 182, 303]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3836744_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}60{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Description</b></td><td><b>All smears</b></td><td><b>All cultures</b></td><td><b>Cultures in SN SE</b></td><td><b>Cultures in SP SE</b></td></tr></thead><tbody><tr><td>Number of SE</td><td>[EMPTY_CELL]</td><td>2537</td><td>2060</td><td>477</td></tr><tr><td>Observed # of P SE after 1 specimen</td><td>[EMPTY_CELL]</td><td>682</td><td>253</td><td>429</td></tr><tr><td>Observed # of P SE after 2 specimens</td><td>[EMPTY_CELL]</td><td>733</td><td>301</td><td>432</td></tr><tr><td>Proportion of P SE on 1<sup>st</sup> specimen</td><td>[EMPTY_CELL]</td><td>0.269</td><td>0.123</td><td>0.899</td></tr><tr><td>Proportion of NP SE</td><td>[EMPTY_CELL]</td><td>0.042</td><td>0.040</td><td>0.103</td></tr><tr><td># of P SE missed by failing to do 2<sup>nd</sup> specimen</td><td>[EMPTY_CELL]</td><td>27</td><td>25</td><td>2</td></tr><tr><td>Expected # of P SE after 1 specimen</td><td>[EMPTY_CELL]</td><td>682</td><td>253</td><td>429</td></tr><tr><td>Expected # of P SE after 2 specimens</td><td>[EMPTY_CELL]</td><td>760</td><td>326</td><td>434</td></tr><tr><td>Expected proportion of P SE after 1 specimen</td><td>[EMPTY_CELL]</td><td>0.269</td><td>0.123</td><td>0.899</td></tr><tr><td>Expected proportion of P SE after 2 specimens</td><td>[EMPTY_CELL]</td><td>0.299</td><td>0.158</td><td>0.910</td></tr><tr><td>Potential IY for 1<sup>st</sup> specimen</td><td>[EMPTY_CELL]</td><td>0.898</td><td>0.776</td><td>0.989</td></tr><tr><td>Potential IY for 2<sup>nd</sup> specimen</td><td>[EMPTY_CELL]</td><td>0.102</td><td>0.224</td><td>0.011</td></tr><tr><td>Overall fraction of P on 1<sup>st</sup> specimen</td><td>[EMPTY_CELL]</td><td>0.269</td><td>0.123</td><td>0.899</td></tr><tr><td>Overall fraction of P on 2<sup>nd</sup> specimen</td><td>[EMPTY_CELL]</td><td>0.031</td><td>0.035</td><td>0.010</td></tr><tr><td>NND on 1<sup>st</sup> specimen</td><td>[EMPTY_CELL]</td><td>4</td><td>8</td><td>1</td></tr><tr><td>NND on 2<sup>nd</sup> specimen</td><td>[EMPTY_CELL]</td><td>33</td><td>28</td><td>96</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Description</b>\", \"bbox\": [1, 4, 42, 13]}, {\"cell\": \"<b>All smears</b>\", \"bbox\": [186, 4, 223, 13]}, {\"cell\": \"<b>All cultures</b>\", \"bbox\": [256, 4, 297, 13]}, {\"cell\": \"<b>Cultures in SN SE</b>\", \"bbox\": [329, 4, 391, 13]}, {\"cell\": \"<b>Cultures in SP SE</b>\", \"bbox\": [424, 4, 484, 13]}, {\"cell\": \"Number of SE\", \"bbox\": [1, 17, 47, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 17, 203, 27]}, {\"cell\": \"2537\", \"bbox\": [256, 17, 273, 27]}, {\"cell\": \"2060\", \"bbox\": [329, 17, 347, 27]}, {\"cell\": \"477\", \"bbox\": [424, 17, 437, 27]}, {\"cell\": \"Observed # of P SE after 1 specimen\", \"bbox\": [1, 31, 120, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 31, 199, 41]}, {\"cell\": \"682\", \"bbox\": [256, 31, 269, 41]}, {\"cell\": \"253\", \"bbox\": [329, 31, 343, 41]}, {\"cell\": \"429\", \"bbox\": [424, 31, 437, 41]}, {\"cell\": \"Observed # of P SE after 2 specimens\", \"bbox\": [1, 45, 123, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 45, 199, 55]}, {\"cell\": \"733\", \"bbox\": [256, 45, 269, 55]}, {\"cell\": \"301\", \"bbox\": [329, 45, 343, 55]}, {\"cell\": \"432\", \"bbox\": [424, 45, 437, 55]}, {\"cell\": \"Proportion of P SE on 1<sup>st</sup> specimen\", \"bbox\": [1, 57, 116, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 59, 204, 69]}, {\"cell\": \"0.269\", \"bbox\": [256, 59, 274, 69]}, {\"cell\": \"0.123\", \"bbox\": [329, 59, 348, 69]}, {\"cell\": \"0.899\", \"bbox\": [424, 59, 442, 69]}, {\"cell\": \"Proportion of NP SE\", \"bbox\": [0, 73, 66, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 73, 204, 83]}, {\"cell\": \"0.042\", \"bbox\": [256, 73, 274, 83]}, {\"cell\": \"0.040\", \"bbox\": [329, 73, 348, 83]}, {\"cell\": \"0.103\", \"bbox\": [424, 73, 442, 83]}, {\"cell\": \"# of P SE missed by failing to do 2<sup>nd</sup> specimen\", \"bbox\": [0, 85, 153, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 87, 195, 97]}, {\"cell\": \"27\", \"bbox\": [256, 87, 265, 97]}, {\"cell\": \"25\", \"bbox\": [329, 87, 339, 97]}, {\"cell\": \"2\", \"bbox\": [424, 87, 429, 97]}, {\"cell\": \"Expected # of P SE after 1 specimen\", \"bbox\": [1, 101, 119, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 101, 199, 111]}, {\"cell\": \"682\", \"bbox\": [256, 101, 269, 111]}, {\"cell\": \"253\", \"bbox\": [329, 101, 343, 111]}, {\"cell\": \"429\", \"bbox\": [424, 101, 437, 111]}, {\"cell\": \"Expected # of P SE after 2 specimens\", \"bbox\": [1, 115, 122, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 115, 199, 125]}, {\"cell\": \"760\", \"bbox\": [256, 115, 269, 125]}, {\"cell\": \"326\", \"bbox\": [329, 115, 343, 125]}, {\"cell\": \"434\", \"bbox\": [424, 115, 437, 125]}, {\"cell\": \"Expected proportion of P SE after 1 specimen\", \"bbox\": [1, 129, 149, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 129, 204, 139]}, {\"cell\": \"0.269\", \"bbox\": [256, 129, 274, 139]}, {\"cell\": \"0.123\", \"bbox\": [329, 129, 348, 139]}, {\"cell\": \"0.899\", \"bbox\": [424, 129, 442, 139]}, {\"cell\": \"Expected proportion of P SE after 2 specimens\", \"bbox\": [1, 143, 152, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 143, 204, 153]}, {\"cell\": \"0.299\", \"bbox\": [256, 143, 274, 153]}, {\"cell\": \"0.158\", \"bbox\": [329, 143, 348, 153]}, {\"cell\": \"0.910\", \"bbox\": [424, 143, 442, 153]}, {\"cell\": \"Potential IY for 1<sup>st</sup> specimen\", \"bbox\": [1, 155, 93, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 157, 204, 167]}, {\"cell\": \"0.898\", \"bbox\": [256, 157, 274, 167]}, {\"cell\": \"0.776\", \"bbox\": [329, 157, 348, 167]}, {\"cell\": \"0.989\", \"bbox\": [424, 157, 442, 167]}, {\"cell\": \"Potential IY for 2<sup>nd</sup> specimen\", \"bbox\": [1, 169, 95, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 171, 204, 181]}, {\"cell\": \"0.102\", \"bbox\": [256, 171, 274, 181]}, {\"cell\": \"0.224\", \"bbox\": [329, 171, 348, 181]}, {\"cell\": \"0.011\", \"bbox\": [424, 171, 442, 181]}, {\"cell\": \"Overall fraction of P on 1<sup>st</sup> specimen\", \"bbox\": [0, 183, 120, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 185, 204, 195]}, {\"cell\": \"0.269\", \"bbox\": [256, 185, 274, 195]}, {\"cell\": \"0.123\", \"bbox\": [329, 185, 348, 195]}, {\"cell\": \"0.899\", \"bbox\": [424, 185, 442, 195]}, {\"cell\": \"Overall fraction of P on 2<sup>nd</sup> specimen\", \"bbox\": [0, 197, 123, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 199, 204, 209]}, {\"cell\": \"0.031\", \"bbox\": [256, 199, 274, 209]}, {\"cell\": \"0.035\", \"bbox\": [329, 199, 348, 209]}, {\"cell\": \"0.010\", \"bbox\": [424, 199, 442, 209]}, {\"cell\": \"NND on 1<sup>st</sup> specimen\", \"bbox\": [1, 211, 72, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 213, 191, 223]}, {\"cell\": \"4\", \"bbox\": [256, 213, 262, 223]}, {\"cell\": \"8\", \"bbox\": [329, 213, 335, 223]}, {\"cell\": \"1\", \"bbox\": [424, 213, 429, 223]}, {\"cell\": \"NND on 2<sup>nd</sup> specimen\", \"bbox\": [1, 225, 75, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 227, 195, 237]}, {\"cell\": \"33\", \"bbox\": [256, 227, 265, 237]}, {\"cell\": \"28\", \"bbox\": [329, 227, 339, 237]}, {\"cell\": \"96\", \"bbox\": [424, 227, 433, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3482573_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}61{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Men</b></td><td><b>Women</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>7683</td><td>7667</td><td>15350</td></tr><tr><td>[EMPTY_CELL]</td><td>41.2 (40.9,41.5)</td><td>41.5 (41.2,41.8)</td><td>41.4 (41.1,41.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>27.1</td><td>19.3*</td><td>23.2</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>85.14</td><td>84.91</td><td>85.03</td></tr><tr><td>[EMPTY_CELL]</td><td>12.20</td><td>13.35</td><td>12.76</td></tr><tr><td>[EMPTY_CELL]</td><td>2.66</td><td>1.75</td><td>2.21</td></tr><tr><td>[EMPTY_CELL]</td><td>50.7</td><td>2.6*</td><td>26.6</td></tr><tr><td>[EMPTY_CELL]</td><td>67.6</td><td>11.3*</td><td>39.5</td></tr><tr><td>[EMPTY_CELL]</td><td>11.75</td><td>11.48</td><td>11.62</td></tr><tr><td>[EMPTY_CELL]</td><td>24.4 (24.2,24.6)</td><td>24.5 (24.2,24.8)</td><td>24.5 (24.3,24.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>85.3 (84.6,85.9)</td><td>81.3 (80.6,81.9)*</td><td>83.3 (82.8,83.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>124 (123,125)</td><td>118 (117,119)*</td><td>121 (120,122)</td></tr><tr><td>[EMPTY_CELL]</td><td>80 (79,81)</td><td>77 (76,78)*</td><td>79 (78,80)</td></tr><tr><td>[EMPTY_CELL]</td><td>5.52 (5.45,5.59)</td><td>5.47 (5.40,5.53)</td><td>5.50 (5.45,5.55)</td></tr><tr><td>[EMPTY_CELL]</td><td>4.36 (4.31,4.41)</td><td>4.37 (4.31,4.43)</td><td>4.37 (4.31,4.42)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Men</b>\", \"bbox\": [188, 4, 205, 13]}, {\"cell\": \"<b>Women</b>\", \"bbox\": [311, 4, 338, 13]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [436, 4, 454, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 41, 27]}, {\"cell\": \"7683\", \"bbox\": [188, 17, 206, 27]}, {\"cell\": \"7667\", \"bbox\": [311, 17, 328, 27]}, {\"cell\": \"15350\", \"bbox\": [436, 17, 457, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 38, 41]}, {\"cell\": \"41.2 (40.9,41.5)\", \"bbox\": [188, 31, 237, 41]}, {\"cell\": \"41.5 (41.2,41.8)\", \"bbox\": [311, 31, 359, 41]}, {\"cell\": \"41.4 (41.1,41.7)\", \"bbox\": [436, 31, 484, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 67, 55]}, {\"cell\": \"27.1\", \"bbox\": [188, 45, 203, 55]}, {\"cell\": \"19.3*\", \"bbox\": [311, 45, 329, 55]}, {\"cell\": \"23.2\", \"bbox\": [436, 45, 451, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 115, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 73, 34, 83]}, {\"cell\": \"85.14\", \"bbox\": [188, 73, 207, 83]}, {\"cell\": \"84.91\", \"bbox\": [311, 73, 329, 83]}, {\"cell\": \"85.03\", \"bbox\": [436, 73, 455, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 87, 45, 97]}, {\"cell\": \"12.20\", \"bbox\": [188, 87, 207, 97]}, {\"cell\": \"13.35\", \"bbox\": [311, 87, 329, 97]}, {\"cell\": \"12.76\", \"bbox\": [436, 87, 455, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 101, 34, 111]}, {\"cell\": \"2.66\", \"bbox\": [188, 101, 203, 111]}, {\"cell\": \"1.75\", \"bbox\": [311, 101, 326, 111]}, {\"cell\": \"2.21\", \"bbox\": [436, 101, 451, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 115, 90, 125]}, {\"cell\": \"50.7\", \"bbox\": [188, 115, 203, 125]}, {\"cell\": \"2.6*\", \"bbox\": [311, 115, 325, 125]}, {\"cell\": \"26.6\", \"bbox\": [436, 115, 451, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 129, 89, 139]}, {\"cell\": \"67.6\", \"bbox\": [188, 129, 203, 139]}, {\"cell\": \"11.3*\", \"bbox\": [311, 129, 329, 139]}, {\"cell\": \"39.5\", \"bbox\": [436, 129, 451, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 143, 101, 153]}, {\"cell\": \"11.75\", \"bbox\": [188, 143, 207, 153]}, {\"cell\": \"11.48\", \"bbox\": [311, 143, 329, 153]}, {\"cell\": \"11.62\", \"bbox\": [436, 143, 455, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 155, 91, 167]}, {\"cell\": \"24.4 (24.2,24.6)\", \"bbox\": [188, 157, 237, 167]}, {\"cell\": \"24.5 (24.2,24.8)\", \"bbox\": [311, 157, 359, 167]}, {\"cell\": \"24.5 (24.3,24.6)\", \"bbox\": [436, 157, 484, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 171, 92, 181]}, {\"cell\": \"85.3 (84.6,85.9)\", \"bbox\": [188, 171, 237, 181]}, {\"cell\": \"81.3 (80.6,81.9)*\", \"bbox\": [311, 171, 362, 181]}, {\"cell\": \"83.3 (82.8,83.8)\", \"bbox\": [436, 171, 484, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 185, 113, 195]}, {\"cell\": \"124 (123,125)\", \"bbox\": [188, 185, 233, 195]}, {\"cell\": \"118 (117,119)*\", \"bbox\": [311, 185, 358, 195]}, {\"cell\": \"121 (120,122)\", \"bbox\": [436, 185, 480, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 199, 114, 209]}, {\"cell\": \"80 (79,81)\", \"bbox\": [188, 199, 221, 209]}, {\"cell\": \"77 (76,78)*\", \"bbox\": [311, 199, 347, 209]}, {\"cell\": \"79 (78,80)\", \"bbox\": [436, 199, 469, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 213, 114, 223]}, {\"cell\": \"5.52 (5.45,5.59)\", \"bbox\": [188, 213, 237, 223]}, {\"cell\": \"5.47 (5.40,5.53)\", \"bbox\": [311, 213, 359, 223]}, {\"cell\": \"5.50 (5.45,5.55)\", \"bbox\": [436, 213, 484, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 227, 95, 237]}, {\"cell\": \"4.36 (4.31,4.41)\", \"bbox\": [188, 227, 237, 237]}, {\"cell\": \"4.37 (4.31,4.43)\", \"bbox\": [311, 227, 359, 237]}, {\"cell\": \"4.37 (4.31,4.42)\", \"bbox\": [436, 227, 484, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5015193_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}62{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Sample No.</b></td><td><b>Family name</b></td><td><b>English name</b></td><td><b>Science name</b></td><td><b>Hg concentration (μg g<sup>−1</sup>)</b></td></tr></thead><tbody><tr><td><i>1</i></td><td>[EMPTY_CELL]</td><td><i>Painted comber</i></td><td><i>Serranus scriba</i></td><td><i>3.13 ± 1.5</i></td></tr><tr><td><i>2</i></td><td>[EMPTY_CELL]</td><td><i>Boxlip Mullet</i></td><td><i>Oedalechilus labeo</i></td><td><i>1.4 ± 1.1</i></td></tr><tr><td><i>3</i></td><td>[EMPTY_CELL]</td><td>Common <i>Two</i>-<i>Banded Seabream</i></td><td><i>Diplodus vulgaris</i></td><td>1.4 <i>± 0.53</i></td></tr><tr><td><i>4</i></td><td>[EMPTY_CELL]</td><td><i>European seabass</i></td><td><i>Dicentrarchus labrax</i></td><td><i>0.89 ± 0.45</i></td></tr><tr><td><i>5</i></td><td>[EMPTY_CELL]</td><td><i>Striped sea bream</i></td><td><i>Lithognathus mormyrus</i></td><td>1.5 <i>± 0.7</i></td></tr><tr><td><i>6</i></td><td>[EMPTY_CELL]</td><td><i>Dusky Grouper</i></td><td><i>Epinephelus marginatus</i></td><td><i>1.9 ± 2.0</i></td></tr><tr><td><i>7</i></td><td>[EMPTY_CELL]</td><td><i>Salema</i></td><td><i>Sarpa salpa</i></td><td><i>0.99 ± 0.71</i></td></tr><tr><td>8</td><td>[EMPTY_CELL]</td><td><i>sculpin</i></td><td><i>Sciaena umbra</i></td><td><i>0.34 ± 0.33</i></td></tr><tr><td><i>9</i></td><td>[EMPTY_CELL]</td><td><i>Red porgy</i></td><td><i>Pagrus pagrus</i></td><td><i>0.39 ± 0.38</i></td></tr><tr><td><i>10</i></td><td>[EMPTY_CELL]</td><td><i>blue runner</i></td><td><i>Caranx crysos</i></td><td><i>0.78 ± 0.48</i></td></tr><tr><td><i>11</i></td><td>[EMPTY_CELL]</td><td><i>Rayed Pearl Oyster</i></td><td><i>Pinctada radiata</i></td><td><i>2.3 ± 3.6</i></td></tr><tr><td><i>12</i></td><td>[EMPTY_CELL]</td><td><i>common cuttlefish</i></td><td><i>Sepia officinalis</i></td><td><i>0.63 ± 0.34</i></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Sample No.</b>\", \"bbox\": [1, 5, 39, 14]}, {\"cell\": \"<b>Family name</b>\", \"bbox\": [64, 5, 107, 14]}, {\"cell\": \"<b>English name</b>\", \"bbox\": [167, 5, 212, 14]}, {\"cell\": \"<b>Science name</b>\", \"bbox\": [298, 5, 344, 14]}, {\"cell\": \"<b>Hg concentration (μg g<sup>−1</sup>)</b>\", \"bbox\": [398, 3, 484, 14]}, {\"cell\": \"<i>1</i>\", \"bbox\": [1, 18, 6, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 18, 98, 27]}, {\"cell\": \"<i>Painted comber</i>\", \"bbox\": [167, 18, 217, 27]}, {\"cell\": \"<i>Serranus scriba</i>\", \"bbox\": [298, 18, 346, 27]}, {\"cell\": \"<i>3.13 ± 1.5</i>\", \"bbox\": [424, 18, 455, 27]}, {\"cell\": \"<i>2</i>\", \"bbox\": [1, 32, 6, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 32, 96, 41]}, {\"cell\": \"<i>Boxlip Mullet</i>\", \"bbox\": [167, 32, 208, 41]}, {\"cell\": \"<i>Oedalechilus labeo</i>\", \"bbox\": [298, 32, 357, 41]}, {\"cell\": \"<i>1.4 ± 1.1</i>\", \"bbox\": [428, 32, 455, 41]}, {\"cell\": \"<i>3</i>\", \"bbox\": [1, 46, 6, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 46, 92, 55]}, {\"cell\": \"Common <i>Two</i>-<i>Banded Seabream</i>\", \"bbox\": [167, 46, 273, 55]}, {\"cell\": \"<i>Diplodus vulgaris</i>\", \"bbox\": [298, 46, 352, 55]}, {\"cell\": \"1.4 <i>± 0.53</i>\", \"bbox\": [427, 46, 459, 55]}, {\"cell\": \"<i>4</i>\", \"bbox\": [1, 60, 6, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 60, 99, 69]}, {\"cell\": \"<i>European seabass</i>\", \"bbox\": [167, 60, 224, 69]}, {\"cell\": \"<i>Dicentrarchus labrax</i>\", \"bbox\": [298, 60, 363, 69]}, {\"cell\": \"<i>0.89 ± 0.45</i>\", \"bbox\": [424, 60, 459, 69]}, {\"cell\": \"<i>5</i>\", \"bbox\": [1, 74, 6, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 74, 92, 83]}, {\"cell\": \"<i>Striped sea bream</i>\", \"bbox\": [167, 74, 225, 83]}, {\"cell\": \"<i>Lithognathus mormyrus</i>\", \"bbox\": [298, 74, 373, 83]}, {\"cell\": \"1.5 <i>± 0.7</i>\", \"bbox\": [427, 74, 455, 83]}, {\"cell\": \"<i>6</i>\", \"bbox\": [1, 88, 6, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 88, 98, 97]}, {\"cell\": \"<i>Dusky Grouper</i>\", \"bbox\": [167, 88, 214, 97]}, {\"cell\": \"<i>Epinephelus marginatus</i>\", \"bbox\": [298, 88, 373, 97]}, {\"cell\": \"<i>1.9 ± 2.0</i>\", \"bbox\": [428, 88, 455, 97]}, {\"cell\": \"<i>7</i>\", \"bbox\": [1, 102, 6, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 102, 92, 111]}, {\"cell\": \"<i>Salema</i>\", \"bbox\": [167, 102, 192, 111]}, {\"cell\": \"<i>Sarpa salpa</i>\", \"bbox\": [298, 102, 336, 111]}, {\"cell\": \"<i>0.99 ± 0.71</i>\", \"bbox\": [424, 102, 459, 111]}, {\"cell\": \"8\", \"bbox\": [1, 116, 6, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 116, 100, 125]}, {\"cell\": \"<i>sculpin</i>\", \"bbox\": [167, 116, 190, 125]}, {\"cell\": \"<i>Sciaena umbra</i>\", \"bbox\": [298, 116, 346, 125]}, {\"cell\": \"<i>0.34 ± 0.33</i>\", \"bbox\": [424, 116, 459, 125]}, {\"cell\": \"<i>9</i>\", \"bbox\": [1, 130, 6, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 130, 142, 139]}, {\"cell\": \"<i>Red porgy</i>\", \"bbox\": [167, 130, 200, 139]}, {\"cell\": \"<i>Pagrus pagrus</i>\", \"bbox\": [298, 130, 344, 139]}, {\"cell\": \"<i>0.39 ± 0.38</i>\", \"bbox\": [424, 130, 459, 139]}, {\"cell\": \"<i>10</i>\", \"bbox\": [1, 144, 10, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 144, 101, 153]}, {\"cell\": \"<i>blue runner</i>\", \"bbox\": [167, 144, 204, 153]}, {\"cell\": \"<i>Caranx crysos</i>\", \"bbox\": [298, 144, 342, 153]}, {\"cell\": \"<i>0.78 ± 0.48</i>\", \"bbox\": [424, 144, 459, 153]}, {\"cell\": \"<i>11</i>\", \"bbox\": [1, 158, 10, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 158, 85, 167]}, {\"cell\": \"<i>Rayed Pearl Oyster</i>\", \"bbox\": [167, 158, 226, 167]}, {\"cell\": \"<i>Pinctada radiata</i>\", \"bbox\": [298, 158, 351, 167]}, {\"cell\": \"<i>2.3 ± 3.6</i>\", \"bbox\": [428, 158, 455, 167]}, {\"cell\": \"<i>12</i>\", \"bbox\": [1, 172, 10, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 172, 94, 181]}, {\"cell\": \"<i>common cuttlefish</i>\", \"bbox\": [167, 172, 226, 181]}, {\"cell\": \"<i>Sepia officinalis</i>\", \"bbox\": [298, 172, 347, 181]}, {\"cell\": \"<i>0.63 ± 0.34</i>\", \"bbox\": [424, 172, 459, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4761145_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}63{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Region type</b></td><td><b>GM12878</b></td><td><b>H1-hESC</b></td><td><b>HeLa-S3</b></td><td><b>Hep-G2</b></td><td><b>K562</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>109 Mbp (3.5%)</td><td>78.8 Mbp (2.6%)</td><td>93.6 Mbp (3.0%)</td><td>88.8 Mbp (2.9%)</td><td>98.7 Mbp (3.2%)</td></tr><tr><td>[EMPTY_CELL]</td><td>1,390 Mbp (45%)</td><td>1,200 Mbp (39%)</td><td>1,330 Mbp (43%)</td><td>401 Mbp (13%)</td><td>1,010 Mbp (33%)</td></tr><tr><td>[EMPTY_CELL]</td><td>25.4 Mbp (0.82%)</td><td>15.5 Mbp (0.50%)</td><td>20.7 Mbp (0.67%)</td><td>17.1 Mbp (0.55%)</td><td>24.3 Mbp (0.79%)</td></tr><tr><td>[EMPTY_CELL]</td><td>24.6 Mbp (0.80%)</td><td>18.2 Mbp (0.59%)</td><td>25.3 Mbp (0.82%)</td><td>21.1 Mbp (0.68%)</td><td>22.0 Mbp (0.71%)</td></tr><tr><td>[EMPTY_CELL]</td><td>25.9 Mbp (0.84%)</td><td>26.4 Mbp (0.86%)</td><td>25.6 Mbp (0.83%)</td><td>26.3 Mbp (0.85%)</td><td>26.6 Mbp (0.86%)</td></tr><tr><td>[EMPTY_CELL]</td><td>5.82 Mbp (0.19%)</td><td>6.43 Mbp (0.21%)</td><td>6.70 Mbp (0.22%)</td><td>6.74 Mbp (0.22%)</td><td>5.18 Mbp (0.17%)</td></tr><tr><td>[EMPTY_CELL]</td><td>24.7 Mbp (0.80%)</td><td>23.5 Mbp (0.76%)</td><td>22.8 Mbp (0.74%)</td><td>23.8 Mbp (0.77%)</td><td>24.2 Mbp (0.78%)</td></tr><tr><td>[EMPTY_CELL]</td><td>10.7 Mbp (0.35%)</td><td>11.0 Mbp (0.36%)</td><td>10.1 Mbp (0.33%)</td><td>10.7 Mbp (0.35%)</td><td>12.4 Mbp (0.40%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Region type</b>\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"<b>GM12878</b>\", \"bbox\": [195, 4, 230, 13]}, {\"cell\": \"<b>H1-hESC</b>\", \"bbox\": [254, 4, 286, 13]}, {\"cell\": \"<b>HeLa-S3</b>\", \"bbox\": [313, 4, 343, 13]}, {\"cell\": \"<b>Hep-G2</b>\", \"bbox\": [371, 4, 399, 13]}, {\"cell\": \"<b>K562</b>\", \"bbox\": [430, 4, 449, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 96, 27]}, {\"cell\": \"109 Mbp (3.5%)\", \"bbox\": [195, 17, 247, 27]}, {\"cell\": \"78.8 Mbp (2.6%)\", \"bbox\": [254, 17, 308, 27]}, {\"cell\": \"93.6 Mbp (3.0%)\", \"bbox\": [313, 17, 367, 27]}, {\"cell\": \"88.8 Mbp (2.9%)\", \"bbox\": [371, 17, 425, 27]}, {\"cell\": \"98.7 Mbp (3.2%)\", \"bbox\": [430, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 29, 99, 39]}, {\"cell\": \"1,390 Mbp (45%)\", \"bbox\": [195, 29, 231, 48]}, {\"cell\": \"1,200 Mbp (39%)\", \"bbox\": [254, 29, 290, 48]}, {\"cell\": \"1,330 Mbp (43%)\", \"bbox\": [313, 29, 349, 48]}, {\"cell\": \"401 Mbp (13%)\", \"bbox\": [371, 29, 422, 39]}, {\"cell\": \"1,010 Mbp (33%)\", \"bbox\": [430, 29, 466, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 151, 60]}, {\"cell\": \"25.4 Mbp (0.82%)\", \"bbox\": [195, 50, 227, 69]}, {\"cell\": \"15.5 Mbp (0.50%)\", \"bbox\": [254, 50, 286, 69]}, {\"cell\": \"20.7 Mbp (0.67%)\", \"bbox\": [313, 50, 345, 69]}, {\"cell\": \"17.1 Mbp (0.55%)\", \"bbox\": [371, 50, 403, 69]}, {\"cell\": \"24.3 Mbp (0.79%)\", \"bbox\": [430, 50, 462, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 128, 81]}, {\"cell\": \"24.6 Mbp (0.80%)\", \"bbox\": [195, 71, 227, 89]}, {\"cell\": \"18.2 Mbp (0.59%)\", \"bbox\": [254, 71, 286, 89]}, {\"cell\": \"25.3 Mbp (0.82%)\", \"bbox\": [313, 71, 345, 89]}, {\"cell\": \"21.1 Mbp (0.68%)\", \"bbox\": [371, 71, 403, 89]}, {\"cell\": \"22.0 Mbp (0.71%)\", \"bbox\": [430, 71, 462, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 92, 176, 101]}, {\"cell\": \"25.9 Mbp (0.84%)\", \"bbox\": [195, 92, 227, 110]}, {\"cell\": \"26.4 Mbp (0.86%)\", \"bbox\": [254, 92, 286, 110]}, {\"cell\": \"25.6 Mbp (0.83%)\", \"bbox\": [313, 92, 345, 110]}, {\"cell\": \"26.3 Mbp (0.85%)\", \"bbox\": [371, 92, 403, 110]}, {\"cell\": \"26.6 Mbp (0.86%)\", \"bbox\": [430, 92, 462, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 113, 183, 131]}, {\"cell\": \"5.82 Mbp (0.19%)\", \"bbox\": [195, 113, 227, 131]}, {\"cell\": \"6.43 Mbp (0.21%)\", \"bbox\": [254, 113, 286, 131]}, {\"cell\": \"6.70 Mbp (0.22%)\", \"bbox\": [313, 113, 345, 131]}, {\"cell\": \"6.74 Mbp (0.22%)\", \"bbox\": [371, 113, 403, 131]}, {\"cell\": \"5.18 Mbp (0.17%)\", \"bbox\": [430, 113, 462, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 134, 173, 143]}, {\"cell\": \"24.7 Mbp (0.80%)\", \"bbox\": [195, 134, 227, 152]}, {\"cell\": \"23.5 Mbp (0.76%)\", \"bbox\": [254, 134, 286, 152]}, {\"cell\": \"22.8 Mbp (0.74%)\", \"bbox\": [313, 134, 345, 152]}, {\"cell\": \"23.8 Mbp (0.77%)\", \"bbox\": [371, 134, 404, 152]}, {\"cell\": \"24.2 Mbp (0.78%)\", \"bbox\": [430, 134, 462, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 180, 173]}, {\"cell\": \"10.7 Mbp (0.35%)\", \"bbox\": [195, 155, 227, 173]}, {\"cell\": \"11.0 Mbp (0.36%)\", \"bbox\": [254, 155, 286, 173]}, {\"cell\": \"10.1 Mbp (0.33%)\", \"bbox\": [313, 155, 345, 173]}, {\"cell\": \"10.7 Mbp (0.35%)\", \"bbox\": [371, 155, 404, 173]}, {\"cell\": \"12.4 Mbp (0.40%)\", \"bbox\": [430, 155, 462, 173]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3491392_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}64{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Author</b></td><td><b>Year</b></td><td><b>Age/Sex</b></td><td><b>Duration post-nephrectomy</b></td><td><b>Presenting symptoms</b></td><td><b>Other organs involved</b></td><td><b>Treatment</b></td><td><b>Patient outcome</b></td></tr></thead><tbody><tr><td>Lawson et al [3]</td><td>1966</td><td>69/F</td><td>[EMPTY_CELL]</td><td>Bleeding anemia</td><td>-</td><td>Pancreatico-duodenectomy</td><td>Alive (8 months FU)</td></tr><tr><td>Tolia et al [4]</td><td>1975</td><td>-/M</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>5 months</td></tr><tr><td>Heymann et al [5]</td><td>1978</td><td>64/M</td><td>[EMPTY_CELL]</td><td>Bleeding</td><td>Colon</td><td>Complex procedure</td><td>3 weeks</td></tr><tr><td>McNichols et al [6]</td><td>1981</td><td>52/M</td><td>[EMPTY_CELL]</td><td>Malabsorption</td><td>-</td><td>Diagnostic only</td><td>-</td></tr><tr><td>Lynch et al [7]</td><td>1987</td><td>16/M</td><td>[EMPTY_CELL]</td><td>Bleeding</td><td>-</td><td>Embolization</td><td>Alive (6 months FU)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>61/M</td><td>[EMPTY_CELL]</td><td>Jaundice</td><td>-</td><td>Embolization</td><td>6 months</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>67/M</td><td>[EMPTY_CELL]</td><td>Bleeding</td><td>Lungs</td><td>-</td><td>Lost to FU</td></tr><tr><td>Robertson et [8]</td><td>1990</td><td>70/M</td><td>[EMPTY_CELL]</td><td>Bleeding</td><td>Pancreas</td><td>Whipple procedure</td><td>-</td></tr><tr><td>Gastaca et al [9]</td><td>1996</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>Duodenectomy</td><td>-</td></tr><tr><td>Toh et al [10]</td><td>1996</td><td>59/F</td><td>[EMPTY_CELL]</td><td>Obstruction anemia</td><td>-</td><td>Metastatectomy</td><td>Alive (6 months FU)</td></tr><tr><td>Ohmura et al [11]</td><td>2000</td><td>62/M</td><td>[EMPTY_CELL]</td><td>Obstruction</td><td>-</td><td>Embolization- local resection</td><td>-</td></tr><tr><td>Hashimoto et al [12]</td><td>2001</td><td>57/M</td><td>[EMPTY_CELL]</td><td>Bleeding</td><td>Pancreas</td><td>PPPD</td><td>-</td></tr><tr><td>Nabi et al [13]</td><td>2001</td><td>40/M</td><td>[EMPTY_CELL]</td><td>Obstruction</td><td>-</td><td>Gastrojujenostomy</td><td>7 days</td></tr><tr><td>Sawh et al [14]</td><td>2002</td><td>53/M</td><td>[EMPTY_CELL]</td><td>Bleeding</td><td>Brain Anal canal</td><td>Duodenectomy</td><td>Alive (4 years FU)</td></tr><tr><td>Loualidi et al [15]</td><td>2004</td><td>76/M</td><td>[EMPTY_CELL]</td><td>Anemia</td><td>-</td><td>Radiotherapy</td><td>Alive</td></tr><tr><td>Chang et al [16]</td><td>2004</td><td>63/F</td><td>[EMPTY_CELL]</td><td>Bleeding</td><td>-</td><td>Metastatectomy</td><td>-</td></tr><tr><td>George et al [16]</td><td>2004</td><td>65/M</td><td>[EMPTY_CELL]</td><td>Obstruction</td><td>Omentum ileum</td><td>Intestinal Resection</td><td>9 months</td></tr><tr><td>Arroyo [17]</td><td>2005</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Bhatia et al (current)</td><td>2006</td><td>50/M</td><td>[EMPTY_CELL]</td><td>Jaundice</td><td>Liver</td><td>Diagnostic only</td><td>Lost to FU</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Author</b>\", \"bbox\": [4, 5, 34, 14]}, {\"cell\": \"<b>Year</b>\", \"bbox\": [88, 5, 109, 14]}, {\"cell\": \"<b>Age/Sex</b>\", \"bbox\": [117, 5, 151, 14]}, {\"cell\": \"<b>Duration post-nephrectomy</b>\", \"bbox\": [166, 5, 225, 23]}, {\"cell\": \"<b>Presenting symptoms</b>\", \"bbox\": [247, 5, 290, 23]}, {\"cell\": \"<b>Other organs involved</b>\", \"bbox\": [308, 5, 362, 23]}, {\"cell\": \"<b>Treatment</b>\", \"bbox\": [371, 5, 416, 14]}, {\"cell\": \"<b>Patient outcome</b>\", \"bbox\": [449, 5, 486, 23]}, {\"cell\": \"Lawson et al [3]\", \"bbox\": [4, 36, 60, 46]}, {\"cell\": \"1966\", \"bbox\": [89, 36, 108, 46]}, {\"cell\": \"69/F\", \"bbox\": [126, 36, 142, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 36, 209, 46]}, {\"cell\": \"Bleeding anemia\", \"bbox\": [241, 36, 297, 46]}, {\"cell\": \"-\", \"bbox\": [333, 36, 337, 46]}, {\"cell\": \"Pancreatico-duodenectomy\", \"bbox\": [371, 36, 423, 55]}, {\"cell\": \"Alive (8 months FU)\", \"bbox\": [440, 36, 495, 55]}, {\"cell\": \"Tolia et al [4]\", \"bbox\": [4, 56, 52, 65]}, {\"cell\": \"1975\", \"bbox\": [89, 56, 108, 65]}, {\"cell\": \"-/M\", \"bbox\": [127, 56, 141, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 56, 211, 65]}, {\"cell\": \"-\", \"bbox\": [267, 56, 271, 65]}, {\"cell\": \"-\", \"bbox\": [333, 56, 337, 65]}, {\"cell\": \"-\", \"bbox\": [399, 56, 404, 65]}, {\"cell\": \"5 months\", \"bbox\": [451, 56, 484, 65]}, {\"cell\": \"Heymann et al [5]\", \"bbox\": [4, 66, 67, 75]}, {\"cell\": \"1978\", \"bbox\": [89, 66, 108, 75]}, {\"cell\": \"64/M\", \"bbox\": [125, 66, 144, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 66, 208, 75]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 66, 284, 75]}, {\"cell\": \"Colon\", \"bbox\": [324, 66, 346, 75]}, {\"cell\": \"Complex procedure\", \"bbox\": [371, 66, 408, 85]}, {\"cell\": \"3 weeks\", \"bbox\": [453, 66, 482, 75]}, {\"cell\": \"McNichols et al [6]\", \"bbox\": [4, 85, 70, 95]}, {\"cell\": \"1981\", \"bbox\": [89, 85, 108, 95]}, {\"cell\": \"52/M\", \"bbox\": [125, 85, 143, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 85, 211, 95]}, {\"cell\": \"Malabsorption\", \"bbox\": [244, 85, 294, 95]}, {\"cell\": \"-\", \"bbox\": [333, 85, 337, 95]}, {\"cell\": \"Diagnostic only\", \"bbox\": [371, 85, 425, 95]}, {\"cell\": \"-\", \"bbox\": [465, 85, 470, 95]}, {\"cell\": \"Lynch et al [7]\", \"bbox\": [4, 96, 54, 105]}, {\"cell\": \"1987\", \"bbox\": [89, 96, 108, 105]}, {\"cell\": \"16/M\", \"bbox\": [125, 96, 144, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [184, 96, 207, 105]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 96, 284, 105]}, {\"cell\": \"-\", \"bbox\": [333, 96, 337, 105]}, {\"cell\": \"Embolization\", \"bbox\": [371, 96, 416, 105]}, {\"cell\": \"Alive (6 months FU)\", \"bbox\": [440, 96, 495, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"61/M\", \"bbox\": [125, 115, 144, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 115, 209, 125]}, {\"cell\": \"Jaundice\", \"bbox\": [254, 115, 284, 125]}, {\"cell\": \"-\", \"bbox\": [333, 115, 337, 125]}, {\"cell\": \"Embolization\", \"bbox\": [371, 115, 416, 125]}, {\"cell\": \"6 months\", \"bbox\": [451, 115, 484, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"67/M\", \"bbox\": [125, 125, 144, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 125, 209, 135]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 125, 284, 135]}, {\"cell\": \"Lungs\", \"bbox\": [325, 125, 345, 135]}, {\"cell\": \"-\", \"bbox\": [399, 125, 404, 135]}, {\"cell\": \"Lost to FU\", \"bbox\": [448, 125, 486, 135]}, {\"cell\": \"Robertson et [8]\", \"bbox\": [4, 135, 63, 145]}, {\"cell\": \"1990\", \"bbox\": [89, 135, 108, 145]}, {\"cell\": \"70/M\", \"bbox\": [125, 135, 144, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 135, 211, 145]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 135, 284, 145]}, {\"cell\": \"Pancreas\", \"bbox\": [319, 135, 351, 145]}, {\"cell\": \"Whipple procedure\", \"bbox\": [371, 135, 408, 154]}, {\"cell\": \"-\", \"bbox\": [465, 135, 470, 145]}, {\"cell\": \"Gastaca et al [9]\", \"bbox\": [4, 155, 61, 165]}, {\"cell\": \"1996\", \"bbox\": [89, 155, 108, 165]}, {\"cell\": \"-\", \"bbox\": [132, 155, 136, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 155, 209, 165]}, {\"cell\": \"-\", \"bbox\": [267, 155, 271, 165]}, {\"cell\": \"-\", \"bbox\": [333, 155, 337, 165]}, {\"cell\": \"Duodenectomy\", \"bbox\": [371, 155, 425, 165]}, {\"cell\": \"-\", \"bbox\": [465, 155, 470, 165]}, {\"cell\": \"Toh et al [10]\", \"bbox\": [4, 165, 53, 175]}, {\"cell\": \"1996\", \"bbox\": [89, 165, 108, 175]}, {\"cell\": \"59/F\", \"bbox\": [126, 165, 142, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 165, 211, 175]}, {\"cell\": \"Obstruction anemia\", \"bbox\": [247, 165, 290, 184]}, {\"cell\": \"-\", \"bbox\": [333, 165, 337, 175]}, {\"cell\": \"Metastatectomy\", \"bbox\": [371, 165, 427, 175]}, {\"cell\": \"Alive (6 months FU)\", \"bbox\": [440, 165, 495, 184]}, {\"cell\": \"Ohmura et al [11]\", \"bbox\": [4, 185, 67, 194]}, {\"cell\": \"2000\", \"bbox\": [89, 185, 108, 194]}, {\"cell\": \"62/M\", \"bbox\": [125, 185, 144, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 185, 208, 194]}, {\"cell\": \"Obstruction\", \"bbox\": [247, 185, 290, 194]}, {\"cell\": \"-\", \"bbox\": [333, 185, 337, 194]}, {\"cell\": \"Embolization- local resection\", \"bbox\": [371, 185, 422, 204]}, {\"cell\": \"-\", \"bbox\": [465, 185, 470, 194]}, {\"cell\": \"Hashimoto et al [12]\", \"bbox\": [4, 204, 76, 214]}, {\"cell\": \"2001\", \"bbox\": [89, 204, 108, 214]}, {\"cell\": \"57/M\", \"bbox\": [125, 204, 144, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 204, 211, 214]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 204, 284, 214]}, {\"cell\": \"Pancreas\", \"bbox\": [319, 204, 351, 214]}, {\"cell\": \"PPPD\", \"bbox\": [371, 204, 392, 214]}, {\"cell\": \"-\", \"bbox\": [465, 204, 470, 214]}, {\"cell\": \"Nabi et al [13]\", \"bbox\": [4, 215, 55, 224]}, {\"cell\": \"2001\", \"bbox\": [89, 215, 108, 224]}, {\"cell\": \"40/M\", \"bbox\": [125, 215, 144, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 215, 209, 224]}, {\"cell\": \"Obstruction\", \"bbox\": [247, 215, 290, 224]}, {\"cell\": \"-\", \"bbox\": [333, 215, 337, 224]}, {\"cell\": \"Gastrojujenostomy\", \"bbox\": [371, 215, 427, 233]}, {\"cell\": \"7 days\", \"bbox\": [456, 215, 479, 224]}, {\"cell\": \"Sawh et al [14]\", \"bbox\": [4, 234, 56, 244]}, {\"cell\": \"2002\", \"bbox\": [89, 234, 108, 244]}, {\"cell\": \"53/M\", \"bbox\": [125, 234, 144, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 234, 209, 244]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 234, 284, 244]}, {\"cell\": \"Brain Anal canal\", \"bbox\": [307, 234, 363, 244]}, {\"cell\": \"Duodenectomy\", \"bbox\": [371, 234, 425, 244]}, {\"cell\": \"Alive (4 years FU)\", \"bbox\": [444, 234, 491, 253]}, {\"cell\": \"Loualidi et al [15]\", \"bbox\": [4, 254, 65, 263]}, {\"cell\": \"2004\", \"bbox\": [89, 254, 108, 263]}, {\"cell\": \"76/M\", \"bbox\": [125, 254, 144, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 254, 209, 263]}, {\"cell\": \"Anemia\", \"bbox\": [255, 254, 283, 263]}, {\"cell\": \"-\", \"bbox\": [333, 254, 337, 263]}, {\"cell\": \"Radiotherapy\", \"bbox\": [371, 254, 417, 263]}, {\"cell\": \"Alive\", \"bbox\": [458, 254, 477, 263]}, {\"cell\": \"Chang et al [16]\", \"bbox\": [4, 264, 60, 273]}, {\"cell\": \"2004\", \"bbox\": [89, 264, 108, 273]}, {\"cell\": \"63/F\", \"bbox\": [126, 264, 142, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 264, 209, 273]}, {\"cell\": \"Bleeding\", \"bbox\": [254, 264, 284, 273]}, {\"cell\": \"-\", \"bbox\": [333, 264, 337, 273]}, {\"cell\": \"Metastatectomy\", \"bbox\": [371, 264, 427, 273]}, {\"cell\": \"-\", \"bbox\": [465, 264, 470, 273]}, {\"cell\": \"George et al [16]\", \"bbox\": [4, 274, 64, 284]}, {\"cell\": \"2004\", \"bbox\": [89, 274, 108, 284]}, {\"cell\": \"65/M\", \"bbox\": [125, 274, 144, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 274, 208, 284]}, {\"cell\": \"Obstruction\", \"bbox\": [247, 274, 290, 284]}, {\"cell\": \"Omentum ileum\", \"bbox\": [307, 274, 363, 284]}, {\"cell\": \"Intestinal Resection\", \"bbox\": [371, 274, 406, 293]}, {\"cell\": \"9 months\", \"bbox\": [451, 274, 484, 284]}, {\"cell\": \"Arroyo [17]\", \"bbox\": [4, 294, 47, 303]}, {\"cell\": \"2005\", \"bbox\": [89, 294, 108, 303]}, {\"cell\": \"-\", \"bbox\": [132, 294, 136, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 294, 198, 303]}, {\"cell\": \"-\", \"bbox\": [267, 294, 271, 303]}, {\"cell\": \"-\", \"bbox\": [333, 294, 337, 303]}, {\"cell\": \"-\", \"bbox\": [399, 294, 403, 303]}, {\"cell\": \"-\", \"bbox\": [465, 294, 470, 303]}, {\"cell\": \"Bhatia et al (current)\", \"bbox\": [4, 304, 76, 313]}, {\"cell\": \"2006\", \"bbox\": [89, 304, 108, 313]}, {\"cell\": \"50/M\", \"bbox\": [125, 304, 144, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [184, 304, 207, 313]}, {\"cell\": \"Jaundice\", \"bbox\": [254, 304, 284, 313]}, {\"cell\": \"Liver\", \"bbox\": [326, 304, 344, 313]}, {\"cell\": \"Diagnostic only\", \"bbox\": [371, 304, 424, 313]}, {\"cell\": \"Lost to FU\", \"bbox\": [448, 304, 486, 313]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1578589_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}65{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Target</b></td><td><b>Pathogenesis <sup>1</sup></b></td><td><b>Drug (Mode of Action) <sup>2</sup></b></td><td><b>Side Effects <sup>3</sup></b></td></tr></thead><tbody><tr><td><i>GR</i></td><td>[EMPTY_CELL]</td><td>Budesonide (antagonist)</td><td>Motor activity, piloerection, generalized edema;</td></tr><tr><td><i>CYSLTR1</i></td><td>[EMPTY_CELL]</td><td>Montelukast (antagonist)</td><td>Headache, abdominal or stomach pain, cough, dental pain, dizziness, fever, heartburn, skin rash, stuffy nose, weakness or unusual tiredness;</td></tr><tr><td><i>CYSLTR1</i></td><td>[EMPTY_CELL]</td><td>Pranlukast (antagonist)</td><td>Headache, abdominal or stomach pain, cough, dental pain, dizziness, fever, heartburn, skin rash, stuffy nose, weakness or unusual tiredness;</td></tr><tr><td><i>HRH1</i></td><td>[EMPTY_CELL]</td><td>Chloropyramine (antagonist)</td><td>Agitation and dizziness;</td></tr><tr><td><i>HRH1</i></td><td>[EMPTY_CELL]</td><td>Emedastine (antagonist)</td><td>Somnolence and malaise;</td></tr><tr><td><i>IL-5</i></td><td>[EMPTY_CELL]</td><td>Mepolizumab (antagonist)</td><td>Blurred, confusion, cough, difficulty with breathing, dizziness, noisy breathing, sweating, tightness in the chest, swelling, hives, blisters and tiredness;</td></tr><tr><td><i>IL-5</i></td><td>[EMPTY_CELL]</td><td>Reslizumab (antagonist)</td><td>Allergic reactions, anaphylaxis, cancer, muscle pain;</td></tr><tr><td><i>ADRB2</i></td><td>[EMPTY_CELL]</td><td>Isoetarine (agonist)</td><td>Tachycardia, palpitations, nausea, headache, and epinephrine-like;</td></tr><tr><td><i>ADRB2</i></td><td>[EMPTY_CELL]</td><td>Salbutamol (agonist)</td><td>Tremor, hypersensitivity reaction and tachycardia;</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Target</b>\", \"bbox\": [20, 5, 47, 16]}, {\"cell\": \"<b>Pathogenesis <sup>1</sup></b>\", \"bbox\": [78, 3, 139, 16]}, {\"cell\": \"<b>Drug (Mode of Action) <sup>2</sup></b>\", \"bbox\": [169, 3, 270, 16]}, {\"cell\": \"<b>Side Effects <sup>3</sup></b>\", \"bbox\": [436, 3, 492, 16]}, {\"cell\": \"<i>GR</i>\", \"bbox\": [26, 21, 41, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 21, 119, 32]}, {\"cell\": \"Budesonide (antagonist)\", \"bbox\": [170, 21, 269, 32]}, {\"cell\": \"Motor activity, piloerection, generalized edema;\", \"bbox\": [293, 21, 484, 32]}, {\"cell\": \"<i>CYSLTR1</i>\", \"bbox\": [14, 38, 53, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 37, 119, 48]}, {\"cell\": \"Montelukast (antagonist)\", \"bbox\": [169, 37, 271, 48]}, {\"cell\": \"Headache, abdominal or stomach pain, cough, dental pain, dizziness, fever, heartburn, skin rash, stuffy nose, weakness or unusual tiredness;\", \"bbox\": [293, 32, 636, 54]}, {\"cell\": \"<i>CYSLTR1</i>\", \"bbox\": [14, 59, 53, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 59, 119, 70]}, {\"cell\": \"Pranlukast (antagonist)\", \"bbox\": [172, 59, 267, 70]}, {\"cell\": \"Headache, abdominal or stomach pain, cough, dental pain, dizziness, fever, heartburn, skin rash, stuffy nose, weakness or unusual tiredness;\", \"bbox\": [293, 54, 636, 76]}, {\"cell\": \"<i>HRH1</i>\", \"bbox\": [20, 76, 47, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 76, 119, 87]}, {\"cell\": \"Chloropyramine (antagonist)\", \"bbox\": [161, 76, 278, 87]}, {\"cell\": \"Agitation and dizziness;\", \"bbox\": [293, 76, 391, 87]}, {\"cell\": \"<i>HRH1</i>\", \"bbox\": [20, 87, 47, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 87, 119, 98]}, {\"cell\": \"Emedastine (antagonist)\", \"bbox\": [170, 87, 269, 98]}, {\"cell\": \"Somnolence and malaise;\", \"bbox\": [293, 87, 395, 98]}, {\"cell\": \"<i>IL-5</i>\", \"bbox\": [25, 103, 42, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 103, 119, 114]}, {\"cell\": \"Mepolizumab (antagonist)\", \"bbox\": [166, 103, 273, 114]}, {\"cell\": \"Blurred, confusion, cough, difficulty with breathing, dizziness, noisy breathing, sweating, tightness in the chest, swelling, hives, blisters and tiredness;\", \"bbox\": [293, 98, 609, 120]}, {\"cell\": \"<i>IL-5</i>\", \"bbox\": [25, 120, 42, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 120, 119, 131]}, {\"cell\": \"Reslizumab (antagonist)\", \"bbox\": [170, 120, 269, 131]}, {\"cell\": \"Allergic reactions, anaphylaxis, cancer, muscle pain;\", \"bbox\": [293, 120, 500, 131]}, {\"cell\": \"<i>ADRB2</i>\", \"bbox\": [18, 131, 49, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 131, 118, 142]}, {\"cell\": \"Isoetarine (agonist)\", \"bbox\": [181, 131, 259, 142]}, {\"cell\": \"Tachycardia, palpitations, nausea, headache, and epinephrine-like;\", \"bbox\": [293, 131, 558, 142]}, {\"cell\": \"<i>ADRB2</i>\", \"bbox\": [18, 142, 49, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 142, 118, 153]}, {\"cell\": \"Salbutamol (agonist)\", \"bbox\": [178, 142, 262, 153]}, {\"cell\": \"Tremor, hypersensitivity reaction and tachycardia;\", \"bbox\": [293, 142, 493, 153]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5977177_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}66{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Category</b></td><td><b>N</b></td><td><b>%</b></td><td colspan=\\\"2\\\"><b>Non-Plural (N, %)</b></td><td colspan=\\\"2\\\"><b>Plural (N, %)</b></td><td><b>P-value</b></td></tr></thead><tbody><tr><td>Total</td><td>All</td><td>1266</td><td>100</td><td>838</td><td>66</td><td>428</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Sex</td><td>Female</td><td>933</td><td>74</td><td>625</td><td>75</td><td>308</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Male</td><td>333</td><td>26</td><td>213</td><td>25</td><td>120</td><td>[EMPTY_CELL]</td><td>0.317</td></tr><tr><td>Age</td><td>18–29</td><td>252</td><td>20</td><td>171</td><td>21</td><td>81</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>30–39</td><td>515</td><td>41</td><td>351</td><td>42</td><td>164</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>40–49</td><td>337</td><td>27</td><td>210</td><td>25</td><td>127</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>50 and above</td><td>158</td><td>12</td><td>103</td><td>12</td><td>55</td><td>[EMPTY_CELL]</td><td>0.319</td></tr><tr><td>Race</td><td>African</td><td>1236</td><td>98</td><td>819</td><td>98</td><td>417</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Coloured</td><td>28</td><td>02</td><td>19</td><td>02</td><td>9</td><td>[EMPTY_CELL]</td><td>0.860</td></tr><tr><td>Marital Status</td><td>Married</td><td>250</td><td>20</td><td>163</td><td>19</td><td>87</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Living with Partner</td><td>91</td><td>7</td><td>49</td><td>6</td><td>42</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Divorced or Separated</td><td>113</td><td>9</td><td>90</td><td>11</td><td>23</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Widowed</td><td>112</td><td>9</td><td>73</td><td>9</td><td>39</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Never Married</td><td>699</td><td>55</td><td>463</td><td>55</td><td>236</td><td>[EMPTY_CELL]</td><td>0.007</td></tr><tr><td>Education</td><td>None</td><td>126</td><td>10</td><td>87</td><td>11</td><td>39</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Primary</td><td>313</td><td>25</td><td>194</td><td>23</td><td>119</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Secondary</td><td>573</td><td>45</td><td>388</td><td>46</td><td>185</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Matric and above</td><td>252</td><td>20</td><td>167</td><td>20</td><td>85</td><td>[EMPTY_CELL]</td><td>0.317</td></tr><tr><td>Employment</td><td>None</td><td>981</td><td>78</td><td>639</td><td>76</td><td>342</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Part-time</td><td>124</td><td>10</td><td>80</td><td>10</td><td>44</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Full-time</td><td>158</td><td>12</td><td>116</td><td>14</td><td>42</td><td>[EMPTY_CELL]</td><td>0.115</td></tr><tr><td>Residence</td><td>Rural</td><td>612</td><td>48</td><td>351</td><td>42</td><td>261</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Urban</td><td>654</td><td>52</td><td>487</td><td>58</td><td>167</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Disability Grant</td><td>No</td><td>733</td><td>58</td><td>515</td><td>62</td><td>218</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>532</td><td>42</td><td>322</td><td>38</td><td>210</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Medical Aid</td><td>No</td><td>1242</td><td>98</td><td>829</td><td>99</td><td>413</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>22</td><td>02</td><td>07</td><td>01</td><td>15</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>Socio-economic Status</td><td>Quintile 1 (Poorest)</td><td>253</td><td>20</td><td>142</td><td>17</td><td>111</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Quintile 2</td><td>253</td><td>20</td><td>165</td><td>20</td><td>88</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Quintile 3</td><td>253</td><td>20</td><td>167</td><td>20</td><td>86</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Quintile 4</td><td>553</td><td>20</td><td>189</td><td>22</td><td>64</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Quintile 5 (Richest)</td><td>254</td><td>20</td><td>175</td><td>21</td><td>79</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Baseline CD4 count</td><td>Above 50 cells</td><td>904</td><td>78</td><td>591</td><td>77</td><td>313</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Below 50 cells</td><td>257</td><td>22</td><td>172</td><td>23</td><td>85</td><td>[EMPTY_CELL]</td><td>0.644</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>Category</b>\", \"bbox\": [96, 4, 129, 13]}, {\"cell\": \"<b>N</b>\", \"bbox\": [196, 4, 203, 13]}, {\"cell\": \"<b>%</b>\", \"bbox\": [231, 4, 240, 13]}, {\"cell\": \"<b>Non-Plural (N, %)</b>\", \"bbox\": [274, 4, 336, 13]}, {\"cell\": \"<b>Plural (N, %)</b>\", \"bbox\": [380, 4, 425, 13]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"Total\", \"bbox\": [1, 17, 18, 27]}, {\"cell\": \"All\", \"bbox\": [96, 17, 106, 27]}, {\"cell\": \"1266\", \"bbox\": [191, 17, 208, 27]}, {\"cell\": \"100\", \"bbox\": [229, 17, 242, 27]}, {\"cell\": \"838\", \"bbox\": [273, 17, 287, 27]}, {\"cell\": \"66\", \"bbox\": [328, 17, 337, 27]}, {\"cell\": \"428\", \"bbox\": [374, 17, 388, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 17, 430, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex\", \"bbox\": [1, 30, 13, 40]}, {\"cell\": \"Female\", \"bbox\": [96, 30, 121, 40]}, {\"cell\": \"933\", \"bbox\": [193, 30, 206, 40]}, {\"cell\": \"74\", \"bbox\": [231, 30, 240, 40]}, {\"cell\": \"625\", \"bbox\": [273, 30, 287, 40]}, {\"cell\": \"75\", \"bbox\": [328, 30, 337, 40]}, {\"cell\": \"308\", \"bbox\": [374, 30, 388, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 30, 430, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [96, 43, 113, 53]}, {\"cell\": \"333\", \"bbox\": [193, 43, 206, 53]}, {\"cell\": \"26\", \"bbox\": [231, 43, 240, 53]}, {\"cell\": \"213\", \"bbox\": [273, 43, 287, 53]}, {\"cell\": \"25\", \"bbox\": [328, 43, 337, 53]}, {\"cell\": \"120\", \"bbox\": [374, 43, 388, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 43, 430, 53]}, {\"cell\": \"0.317\", \"bbox\": [461, 43, 480, 53]}, {\"cell\": \"Age\", \"bbox\": [1, 57, 15, 66]}, {\"cell\": \"18–29\", \"bbox\": [96, 57, 117, 66]}, {\"cell\": \"252\", \"bbox\": [193, 57, 206, 66]}, {\"cell\": \"20\", \"bbox\": [231, 57, 240, 66]}, {\"cell\": \"171\", \"bbox\": [273, 57, 287, 66]}, {\"cell\": \"21\", \"bbox\": [328, 57, 337, 66]}, {\"cell\": \"81\", \"bbox\": [376, 57, 386, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 57, 430, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30–39\", \"bbox\": [96, 70, 117, 79]}, {\"cell\": \"515\", \"bbox\": [193, 70, 206, 79]}, {\"cell\": \"41\", \"bbox\": [231, 70, 240, 79]}, {\"cell\": \"351\", \"bbox\": [273, 70, 287, 79]}, {\"cell\": \"42\", \"bbox\": [328, 70, 337, 79]}, {\"cell\": \"164\", \"bbox\": [374, 70, 388, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 70, 430, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40–49\", \"bbox\": [96, 83, 117, 92]}, {\"cell\": \"337\", \"bbox\": [193, 83, 206, 92]}, {\"cell\": \"27\", \"bbox\": [231, 83, 240, 92]}, {\"cell\": \"210\", \"bbox\": [273, 83, 287, 92]}, {\"cell\": \"25\", \"bbox\": [328, 83, 337, 92]}, {\"cell\": \"127\", \"bbox\": [374, 83, 388, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 83, 430, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50 and above\", \"bbox\": [96, 96, 142, 105]}, {\"cell\": \"158\", \"bbox\": [193, 96, 206, 105]}, {\"cell\": \"12\", \"bbox\": [231, 96, 240, 105]}, {\"cell\": \"103\", \"bbox\": [273, 96, 287, 105]}, {\"cell\": \"12\", \"bbox\": [328, 96, 337, 105]}, {\"cell\": \"55\", \"bbox\": [376, 96, 386, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 96, 430, 105]}, {\"cell\": \"0.319\", \"bbox\": [461, 96, 480, 105]}, {\"cell\": \"Race\", \"bbox\": [0, 109, 17, 119]}, {\"cell\": \"African\", \"bbox\": [96, 109, 120, 119]}, {\"cell\": \"1236\", \"bbox\": [191, 109, 208, 119]}, {\"cell\": \"98\", \"bbox\": [231, 109, 240, 119]}, {\"cell\": \"819\", \"bbox\": [273, 109, 287, 119]}, {\"cell\": \"98\", \"bbox\": [328, 109, 337, 119]}, {\"cell\": \"417\", \"bbox\": [374, 109, 388, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 109, 430, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Coloured\", \"bbox\": [96, 122, 127, 132]}, {\"cell\": \"28\", \"bbox\": [195, 122, 204, 132]}, {\"cell\": \"02\", \"bbox\": [231, 122, 240, 132]}, {\"cell\": \"19\", \"bbox\": [275, 122, 285, 132]}, {\"cell\": \"02\", \"bbox\": [328, 122, 337, 132]}, {\"cell\": \"9\", \"bbox\": [378, 122, 384, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 122, 430, 132]}, {\"cell\": \"0.860\", \"bbox\": [461, 122, 480, 132]}, {\"cell\": \"Marital Status\", \"bbox\": [0, 135, 45, 145]}, {\"cell\": \"Married\", \"bbox\": [96, 135, 122, 145]}, {\"cell\": \"250\", \"bbox\": [193, 135, 206, 145]}, {\"cell\": \"20\", \"bbox\": [231, 135, 240, 145]}, {\"cell\": \"163\", \"bbox\": [273, 135, 287, 145]}, {\"cell\": \"19\", \"bbox\": [328, 135, 337, 145]}, {\"cell\": \"87\", \"bbox\": [376, 135, 386, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 135, 430, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Living with Partner\", \"bbox\": [96, 149, 159, 158]}, {\"cell\": \"91\", \"bbox\": [195, 149, 204, 158]}, {\"cell\": \"7\", \"bbox\": [233, 149, 238, 158]}, {\"cell\": \"49\", \"bbox\": [275, 149, 285, 158]}, {\"cell\": \"6\", \"bbox\": [330, 149, 336, 158]}, {\"cell\": \"42\", \"bbox\": [376, 149, 386, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 149, 430, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Divorced or Separated\", \"bbox\": [96, 162, 170, 171]}, {\"cell\": \"113\", \"bbox\": [193, 162, 206, 171]}, {\"cell\": \"9\", \"bbox\": [233, 162, 238, 171]}, {\"cell\": \"90\", \"bbox\": [275, 162, 285, 171]}, {\"cell\": \"11\", \"bbox\": [328, 162, 337, 171]}, {\"cell\": \"23\", \"bbox\": [376, 162, 386, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 162, 428, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Widowed\", \"bbox\": [96, 175, 129, 184]}, {\"cell\": \"112\", \"bbox\": [193, 175, 206, 184]}, {\"cell\": \"9\", \"bbox\": [233, 175, 238, 184]}, {\"cell\": \"73\", \"bbox\": [275, 175, 285, 184]}, {\"cell\": \"9\", \"bbox\": [330, 175, 336, 184]}, {\"cell\": \"39\", \"bbox\": [376, 175, 386, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 175, 428, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never Married\", \"bbox\": [96, 188, 143, 198]}, {\"cell\": \"699\", \"bbox\": [193, 188, 206, 198]}, {\"cell\": \"55\", \"bbox\": [231, 188, 240, 198]}, {\"cell\": \"463\", \"bbox\": [273, 188, 287, 198]}, {\"cell\": \"55\", \"bbox\": [328, 188, 337, 198]}, {\"cell\": \"236\", \"bbox\": [374, 188, 388, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 188, 430, 198]}, {\"cell\": \"0.007\", \"bbox\": [461, 188, 480, 198]}, {\"cell\": \"Education\", \"bbox\": [0, 201, 34, 211]}, {\"cell\": \"None\", \"bbox\": [96, 201, 115, 211]}, {\"cell\": \"126\", \"bbox\": [193, 201, 206, 211]}, {\"cell\": \"10\", \"bbox\": [231, 201, 240, 211]}, {\"cell\": \"87\", \"bbox\": [275, 201, 285, 211]}, {\"cell\": \"11\", \"bbox\": [328, 201, 337, 211]}, {\"cell\": \"39\", \"bbox\": [376, 201, 386, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 201, 430, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary\", \"bbox\": [96, 214, 122, 224]}, {\"cell\": \"313\", \"bbox\": [193, 214, 206, 224]}, {\"cell\": \"25\", \"bbox\": [231, 214, 240, 224]}, {\"cell\": \"194\", \"bbox\": [273, 214, 287, 224]}, {\"cell\": \"23\", \"bbox\": [328, 214, 337, 224]}, {\"cell\": \"119\", \"bbox\": [374, 214, 388, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 214, 430, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Secondary\", \"bbox\": [96, 227, 131, 237]}, {\"cell\": \"573\", \"bbox\": [193, 227, 206, 237]}, {\"cell\": \"45\", \"bbox\": [231, 227, 240, 237]}, {\"cell\": \"388\", \"bbox\": [273, 227, 287, 237]}, {\"cell\": \"46\", \"bbox\": [328, 227, 337, 237]}, {\"cell\": \"185\", \"bbox\": [374, 227, 388, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 227, 430, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Matric and above\", \"bbox\": [96, 241, 154, 250]}, {\"cell\": \"252\", \"bbox\": [193, 241, 206, 250]}, {\"cell\": \"20\", \"bbox\": [231, 241, 240, 250]}, {\"cell\": \"167\", \"bbox\": [273, 241, 287, 250]}, {\"cell\": \"20\", \"bbox\": [328, 241, 337, 250]}, {\"cell\": \"85\", \"bbox\": [376, 241, 386, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 241, 430, 250]}, {\"cell\": \"0.317\", \"bbox\": [461, 241, 480, 250]}, {\"cell\": \"Employment\", \"bbox\": [0, 254, 43, 263]}, {\"cell\": \"None\", \"bbox\": [96, 254, 115, 263]}, {\"cell\": \"981\", \"bbox\": [193, 254, 206, 263]}, {\"cell\": \"78\", \"bbox\": [231, 254, 240, 263]}, {\"cell\": \"639\", \"bbox\": [273, 254, 287, 263]}, {\"cell\": \"76\", \"bbox\": [328, 254, 337, 263]}, {\"cell\": \"342\", \"bbox\": [374, 254, 388, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 254, 430, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Part-time\", \"bbox\": [96, 267, 127, 276]}, {\"cell\": \"124\", \"bbox\": [193, 267, 206, 276]}, {\"cell\": \"10\", \"bbox\": [231, 267, 240, 276]}, {\"cell\": \"80\", \"bbox\": [275, 267, 285, 276]}, {\"cell\": \"10\", \"bbox\": [328, 267, 337, 276]}, {\"cell\": \"44\", \"bbox\": [376, 267, 386, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 267, 430, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Full-time\", \"bbox\": [96, 280, 126, 290]}, {\"cell\": \"158\", \"bbox\": [193, 280, 206, 290]}, {\"cell\": \"12\", \"bbox\": [231, 280, 240, 290]}, {\"cell\": \"116\", \"bbox\": [273, 280, 287, 290]}, {\"cell\": \"14\", \"bbox\": [328, 280, 337, 290]}, {\"cell\": \"42\", \"bbox\": [376, 280, 386, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 280, 430, 290]}, {\"cell\": \"0.115\", \"bbox\": [461, 280, 480, 290]}, {\"cell\": \"Residence\", \"bbox\": [0, 293, 35, 303]}, {\"cell\": \"Rural\", \"bbox\": [96, 293, 114, 303]}, {\"cell\": \"612\", \"bbox\": [193, 293, 206, 303]}, {\"cell\": \"48\", \"bbox\": [231, 293, 240, 303]}, {\"cell\": \"351\", \"bbox\": [273, 293, 287, 303]}, {\"cell\": \"42\", \"bbox\": [328, 293, 337, 303]}, {\"cell\": \"261\", \"bbox\": [374, 293, 388, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 293, 430, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Urban\", \"bbox\": [96, 306, 118, 316]}, {\"cell\": \"654\", \"bbox\": [193, 306, 206, 316]}, {\"cell\": \"52\", \"bbox\": [231, 306, 240, 316]}, {\"cell\": \"487\", \"bbox\": [273, 306, 287, 316]}, {\"cell\": \"58\", \"bbox\": [328, 306, 337, 316]}, {\"cell\": \"167\", \"bbox\": [374, 306, 388, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 306, 430, 316]}, {\"cell\": \"<0.001\", \"bbox\": [459, 306, 482, 316]}, {\"cell\": \"Disability Grant\", \"bbox\": [0, 320, 51, 329]}, {\"cell\": \"No\", \"bbox\": [96, 320, 107, 329]}, {\"cell\": \"733\", \"bbox\": [193, 320, 206, 329]}, {\"cell\": \"58\", \"bbox\": [231, 320, 240, 329]}, {\"cell\": \"515\", \"bbox\": [273, 320, 287, 329]}, {\"cell\": \"62\", \"bbox\": [328, 320, 337, 329]}, {\"cell\": \"218\", \"bbox\": [374, 320, 388, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 320, 430, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [96, 333, 109, 342]}, {\"cell\": \"532\", \"bbox\": [193, 333, 206, 342]}, {\"cell\": \"42\", \"bbox\": [231, 333, 240, 342]}, {\"cell\": \"322\", \"bbox\": [273, 333, 287, 342]}, {\"cell\": \"38\", \"bbox\": [328, 333, 337, 342]}, {\"cell\": \"210\", \"bbox\": [374, 333, 388, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 333, 430, 342]}, {\"cell\": \"<0.001\", \"bbox\": [459, 333, 482, 342]}, {\"cell\": \"Medical Aid\", \"bbox\": [0, 346, 40, 355]}, {\"cell\": \"No\", \"bbox\": [96, 346, 107, 355]}, {\"cell\": \"1242\", \"bbox\": [191, 346, 208, 355]}, {\"cell\": \"98\", \"bbox\": [231, 346, 240, 355]}, {\"cell\": \"829\", \"bbox\": [273, 346, 287, 355]}, {\"cell\": \"99\", \"bbox\": [328, 346, 337, 355]}, {\"cell\": \"413\", \"bbox\": [374, 346, 388, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 346, 430, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [96, 359, 109, 368]}, {\"cell\": \"22\", \"bbox\": [195, 359, 204, 368]}, {\"cell\": \"02\", \"bbox\": [231, 359, 240, 368]}, {\"cell\": \"07\", \"bbox\": [275, 359, 285, 368]}, {\"cell\": \"01\", \"bbox\": [328, 359, 337, 368]}, {\"cell\": \"15\", \"bbox\": [376, 359, 386, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 359, 430, 368]}, {\"cell\": \"0.001\", \"bbox\": [461, 359, 480, 368]}, {\"cell\": \"Socio-economic Status\", \"bbox\": [0, 372, 75, 382]}, {\"cell\": \"Quintile 1 (Poorest)\", \"bbox\": [96, 372, 160, 382]}, {\"cell\": \"253\", \"bbox\": [193, 372, 206, 382]}, {\"cell\": \"20\", \"bbox\": [231, 372, 240, 382]}, {\"cell\": \"142\", \"bbox\": [273, 372, 287, 382]}, {\"cell\": \"17\", \"bbox\": [328, 372, 337, 382]}, {\"cell\": \"111\", \"bbox\": [374, 372, 388, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 372, 430, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 2\", \"bbox\": [96, 385, 129, 395]}, {\"cell\": \"253\", \"bbox\": [193, 385, 206, 395]}, {\"cell\": \"20\", \"bbox\": [231, 385, 240, 395]}, {\"cell\": \"165\", \"bbox\": [273, 385, 287, 395]}, {\"cell\": \"20\", \"bbox\": [328, 385, 337, 395]}, {\"cell\": \"88\", \"bbox\": [376, 385, 386, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 385, 430, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 3\", \"bbox\": [96, 398, 129, 408]}, {\"cell\": \"253\", \"bbox\": [193, 398, 206, 408]}, {\"cell\": \"20\", \"bbox\": [231, 398, 240, 408]}, {\"cell\": \"167\", \"bbox\": [273, 398, 287, 408]}, {\"cell\": \"20\", \"bbox\": [328, 398, 337, 408]}, {\"cell\": \"86\", \"bbox\": [376, 398, 386, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 398, 430, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 4\", \"bbox\": [96, 412, 129, 421]}, {\"cell\": \"553\", \"bbox\": [193, 412, 206, 421]}, {\"cell\": \"20\", \"bbox\": [231, 412, 240, 421]}, {\"cell\": \"189\", \"bbox\": [273, 412, 287, 421]}, {\"cell\": \"22\", \"bbox\": [328, 412, 337, 421]}, {\"cell\": \"64\", \"bbox\": [376, 412, 386, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 412, 430, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 5 (Richest)\", \"bbox\": [96, 425, 158, 434]}, {\"cell\": \"254\", \"bbox\": [193, 425, 206, 434]}, {\"cell\": \"20\", \"bbox\": [231, 425, 240, 434]}, {\"cell\": \"175\", \"bbox\": [273, 425, 287, 434]}, {\"cell\": \"21\", \"bbox\": [328, 425, 337, 434]}, {\"cell\": \"79\", \"bbox\": [376, 425, 386, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 425, 430, 434]}, {\"cell\": \"<0.001\", \"bbox\": [459, 425, 482, 434]}, {\"cell\": \"Baseline CD4 count\", \"bbox\": [0, 438, 65, 447]}, {\"cell\": \"Above 50 cells\", \"bbox\": [96, 438, 145, 447]}, {\"cell\": \"904\", \"bbox\": [193, 438, 206, 447]}, {\"cell\": \"78\", \"bbox\": [231, 438, 240, 447]}, {\"cell\": \"591\", \"bbox\": [273, 438, 287, 447]}, {\"cell\": \"77\", \"bbox\": [328, 438, 337, 447]}, {\"cell\": \"313\", \"bbox\": [374, 438, 388, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 438, 430, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Below 50 cells\", \"bbox\": [96, 451, 144, 461]}, {\"cell\": \"257\", \"bbox\": [193, 451, 206, 461]}, {\"cell\": \"22\", \"bbox\": [231, 451, 240, 461]}, {\"cell\": \"172\", \"bbox\": [273, 451, 287, 461]}, {\"cell\": \"23\", \"bbox\": [328, 451, 337, 461]}, {\"cell\": \"85\", \"bbox\": [376, 451, 386, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 451, 430, 461]}, {\"cell\": \"0.644\", \"bbox\": [461, 451, 480, 461]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3465179_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}67{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Tissue</b></td><td><b><sup>68</sup>Ga pPET</b></td><td><b><sup>18</sup>FDG-PET</b></td></tr><tr><td><b>(n= 8)</b></td><td><b>(n=13)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>5.50 ± 0.96 (n=8)</td><td>7.61 ± 1.53 (n=10)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.63 ± 0.19</td><td>1.21 ± 0,20</td></tr><tr><td>[EMPTY_CELL]</td><td>0.95 ± 0.15</td><td>2.26 ± 0.33</td></tr><tr><td>[EMPTY_CELL]</td><td>1.88 ± 0.37</td><td>6.57 ± 0.77</td></tr><tr><td>[EMPTY_CELL]</td><td>0.30 ± 0.10</td><td>4.99 ± 0.52</td></tr><tr><td>[EMPTY_CELL]</td><td>0.75 ± 0.14</td><td>5.77 ± 0.50</td></tr><tr><td>[EMPTY_CELL]</td><td>0.35 ± 0.14</td><td>5.93 ± 1.78</td></tr><tr><td>[EMPTY_CELL]</td><td>0.47 ± 0.07</td><td>4.52 ± 0.37</td></tr><tr><td>[EMPTY_CELL]</td><td>0.72 ± 0.25</td><td>3.08 ± 0.17</td></tr><tr><td>[EMPTY_CELL]</td><td>0.15 ± 0.06</td><td>5.74 ± 0.49</td></tr><tr><td>[EMPTY_CELL]</td><td>0.28 ± 0.08</td><td>61.57 ± 10.53</td></tr><tr><td>[EMPTY_CELL]</td><td>0.32 ± 0.09</td><td>3.85 ± 0.40</td></tr><tr><td>[EMPTY_CELL]</td><td>0.43 ± 0.12</td><td>3.43 ± 0.45</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Tissue</b>\", \"bbox\": [4, 14, 33, 25]}, {\"cell\": \"<b><sup>68</sup>Ga pPET</b>\", \"bbox\": [226, 5, 274, 16]}, {\"cell\": \"<b><sup>18</sup>FDG-PET</b>\", \"bbox\": [390, 5, 442, 16]}, {\"cell\": \"<b>(n= 8)</b>\", \"bbox\": [236, 22, 264, 33]}, {\"cell\": \"<b>(n=13)</b>\", \"bbox\": [401, 22, 431, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 40, 32, 51]}, {\"cell\": \"5.50 ± 0.96 (n=8)\", \"bbox\": [214, 40, 286, 51]}, {\"cell\": \"7.61 ± 1.53 (n=10)\", \"bbox\": [377, 40, 454, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 56, 35, 68]}, {\"cell\": \"0.63 ± 0.19\", \"bbox\": [226, 57, 274, 68]}, {\"cell\": \"1.21 ± 0,20\", \"bbox\": [392, 57, 439, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 73, 35, 85]}, {\"cell\": \"0.95 ± 0.15\", \"bbox\": [226, 74, 274, 85]}, {\"cell\": \"2.26 ± 0.33\", \"bbox\": [392, 74, 439, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 90, 46, 102]}, {\"cell\": \"1.88 ± 0.37\", \"bbox\": [226, 91, 274, 102]}, {\"cell\": \"6.57 ± 0.77\", \"bbox\": [392, 91, 439, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 107, 51, 119]}, {\"cell\": \"0.30 ± 0.10\", \"bbox\": [226, 108, 274, 119]}, {\"cell\": \"4.99 ± 0.52\", \"bbox\": [392, 108, 439, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 124, 38, 136]}, {\"cell\": \"0.75 ± 0.14\", \"bbox\": [226, 124, 274, 136]}, {\"cell\": \"5.77 ± 0.50\", \"bbox\": [392, 124, 439, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 141, 46, 152]}, {\"cell\": \"0.35 ± 0.14\", \"bbox\": [226, 141, 274, 152]}, {\"cell\": \"5.93 ± 1.78\", \"bbox\": [392, 141, 439, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 158, 44, 169]}, {\"cell\": \"0.47 ± 0.07\", \"bbox\": [226, 158, 274, 169]}, {\"cell\": \"4.52 ± 0.37\", \"bbox\": [392, 158, 439, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 175, 35, 186]}, {\"cell\": \"0.72 ± 0.25\", \"bbox\": [226, 175, 274, 186]}, {\"cell\": \"3.08 ± 0.17\", \"bbox\": [392, 175, 439, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 192, 39, 203]}, {\"cell\": \"0.15 ± 0.06\", \"bbox\": [226, 192, 274, 203]}, {\"cell\": \"5.74 ± 0.49\", \"bbox\": [392, 192, 439, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 209, 39, 220]}, {\"cell\": \"0.28 ± 0.08\", \"bbox\": [226, 209, 274, 220]}, {\"cell\": \"61.57 ± 10.53\", \"bbox\": [387, 209, 444, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 226, 38, 237]}, {\"cell\": \"0.32 ± 0.09\", \"bbox\": [226, 226, 274, 237]}, {\"cell\": \"3.85 ± 0.40\", \"bbox\": [392, 226, 439, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 243, 52, 254]}, {\"cell\": \"0.43 ± 0.12\", \"bbox\": [226, 243, 274, 254]}, {\"cell\": \"3.43 ± 0.45\", \"bbox\": [392, 243, 439, 254]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6007947_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}68{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Variable</b></td><td><b>Cases (n)</b></td><td><b>Proportion of cases (p)</b></td><td><b>Adjusted odds ratio<sup>a</sup></b></td><td><b>PAF (95% CrI)<sup>b</sup></b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">For children 0–4 years old: Other household member having contact with animals other than household pets</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> No</td><td>[EMPTY_CELL]</td><td>0.549</td><td>Ref</td><td>-</td></tr><tr><td colspan=\\\"2\\\"> Yes</td><td>[EMPTY_CELL]</td><td>0.451</td><td>4.03</td><td>16.82 (9.0–23.7)</td></tr><tr><td colspan=\\\"2\\\">Cattle livestock present in meshblock</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> No</td><td>[EMPTY_CELL]</td><td>0.655</td><td>Ref</td><td>-</td></tr><tr><td colspan=\\\"2\\\"> Yes</td><td>[EMPTY_CELL]</td><td>0.345</td><td>1.89</td><td>18.20 (0.6–29.4)</td></tr><tr><td colspan=\\\"2\\\">Contact with animal manure</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> No</td><td>[EMPTY_CELL]</td><td>0.660</td><td>Ref</td><td>-</td></tr><tr><td colspan=\\\"2\\\"> Yes</td><td>[EMPTY_CELL]</td><td>0.340</td><td>2.09</td><td>17.47 (4.4–27.7)</td></tr><tr><td colspan=\\\"2\\\">Contact with recreational waters</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> No</td><td>[EMPTY_CELL]</td><td>0.866</td><td>Ref</td><td>-</td></tr><tr><td colspan=\\\"2\\\"> Yes</td><td>[EMPTY_CELL]</td><td>0.134</td><td>2.95</td><td>9.41 (2.7–16.5)</td></tr><tr><td colspan=\\\"6\\\">Travelled to areas in NZ with interrupted or no main water supply</td></tr><tr><td colspan=\\\"2\\\"> No</td><td>[EMPTY_CELL]</td><td>0.865</td><td>Ref</td><td>-</td></tr><tr><td colspan=\\\"2\\\"> Yes</td><td>[EMPTY_CELL]</td><td>0.135</td><td>2.43</td><td>8.17 (0.7–15.7)</td></tr><tr><td colspan=\\\"6\\\">Water supply to home from private bore/spring/creek/or stream</td></tr><tr><td colspan=\\\"2\\\"> No</td><td>[EMPTY_CELL]</td><td>0.802</td><td>Ref</td><td>-</td></tr><tr><td colspan=\\\"2\\\"> Yes</td><td>[EMPTY_CELL]</td><td>0.198</td><td>1.85</td><td>9.46 (-2.5–18.8)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>Cases (n)</b>\", \"bbox\": [284, 4, 317, 13]}, {\"cell\": \"<b>Proportion of cases (p)</b>\", \"bbox\": [328, 4, 369, 22]}, {\"cell\": \"<b>Adjusted odds ratio<sup>a</sup></b>\", \"bbox\": [380, 4, 421, 22]}, {\"cell\": \"<b>PAF (95% CrI)<sup>b</sup></b>\", \"bbox\": [431, 2, 484, 13]}, {\"cell\": \"For children 0–4 years old: Other household member having contact with animals other than household pets\", \"bbox\": [1, 26, 267, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 49, 20, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 49, 317, 59]}, {\"cell\": \"0.549\", \"bbox\": [351, 49, 369, 59]}, {\"cell\": \"Ref\", \"bbox\": [409, 49, 421, 59]}, {\"cell\": \"-\", \"bbox\": [480, 49, 484, 59]}, {\"cell\": \" Yes\", \"bbox\": [8, 63, 21, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 63, 317, 73]}, {\"cell\": \"0.451\", \"bbox\": [351, 63, 369, 73]}, {\"cell\": \"4.03\", \"bbox\": [406, 63, 421, 73]}, {\"cell\": \"16.82 (9.0–23.7)\", \"bbox\": [433, 63, 484, 73]}, {\"cell\": \"Cattle livestock present in meshblock\", \"bbox\": [1, 77, 122, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 91, 20, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 91, 317, 101]}, {\"cell\": \"0.655\", \"bbox\": [351, 91, 369, 101]}, {\"cell\": \"Ref\", \"bbox\": [409, 91, 421, 101]}, {\"cell\": \"-\", \"bbox\": [480, 91, 484, 101]}, {\"cell\": \" Yes\", \"bbox\": [8, 105, 21, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 105, 317, 115]}, {\"cell\": \"0.345\", \"bbox\": [351, 105, 369, 115]}, {\"cell\": \"1.89\", \"bbox\": [406, 105, 421, 115]}, {\"cell\": \"18.20 (0.6–29.4)\", \"bbox\": [433, 105, 484, 115]}, {\"cell\": \"Contact with animal manure\", \"bbox\": [1, 119, 94, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 133, 20, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 133, 317, 143]}, {\"cell\": \"0.660\", \"bbox\": [351, 133, 369, 143]}, {\"cell\": \"Ref\", \"bbox\": [409, 133, 421, 143]}, {\"cell\": \"-\", \"bbox\": [480, 133, 484, 143]}, {\"cell\": \" Yes\", \"bbox\": [8, 147, 21, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 147, 317, 157]}, {\"cell\": \"0.340\", \"bbox\": [351, 147, 369, 157]}, {\"cell\": \"2.09\", \"bbox\": [406, 147, 421, 157]}, {\"cell\": \"17.47 (4.4–27.7)\", \"bbox\": [433, 147, 484, 157]}, {\"cell\": \"Contact with recreational waters\", \"bbox\": [1, 161, 107, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 175, 20, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 175, 317, 185]}, {\"cell\": \"0.866\", \"bbox\": [351, 175, 369, 185]}, {\"cell\": \"Ref\", \"bbox\": [409, 175, 421, 185]}, {\"cell\": \"-\", \"bbox\": [480, 175, 484, 185]}, {\"cell\": \" Yes\", \"bbox\": [8, 189, 21, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 189, 317, 199]}, {\"cell\": \"0.134\", \"bbox\": [351, 189, 369, 199]}, {\"cell\": \"2.95\", \"bbox\": [406, 189, 421, 199]}, {\"cell\": \"9.41 (2.7–16.5)\", \"bbox\": [437, 189, 484, 199]}, {\"cell\": \"Travelled to areas in NZ with interrupted or no main water supply\", \"bbox\": [1, 203, 215, 213]}, {\"cell\": \" No\", \"bbox\": [8, 217, 20, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 217, 317, 227]}, {\"cell\": \"0.865\", \"bbox\": [351, 217, 369, 227]}, {\"cell\": \"Ref\", \"bbox\": [409, 217, 421, 227]}, {\"cell\": \"-\", \"bbox\": [480, 217, 484, 227]}, {\"cell\": \" Yes\", \"bbox\": [8, 231, 21, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 231, 317, 241]}, {\"cell\": \"0.135\", \"bbox\": [351, 231, 369, 241]}, {\"cell\": \"2.43\", \"bbox\": [406, 231, 421, 241]}, {\"cell\": \"8.17 (0.7–15.7)\", \"bbox\": [437, 231, 484, 241]}, {\"cell\": \"Water supply to home from private bore/spring/creek/or stream\", \"bbox\": [1, 245, 209, 255]}, {\"cell\": \" No\", \"bbox\": [8, 259, 20, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 259, 317, 269]}, {\"cell\": \"0.802\", \"bbox\": [351, 259, 369, 269]}, {\"cell\": \"Ref\", \"bbox\": [409, 259, 421, 269]}, {\"cell\": \"-\", \"bbox\": [480, 259, 484, 269]}, {\"cell\": \" Yes\", \"bbox\": [8, 273, 21, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 273, 317, 283]}, {\"cell\": \"0.198\", \"bbox\": [351, 273, 369, 283]}, {\"cell\": \"1.85\", \"bbox\": [406, 273, 421, 283]}, {\"cell\": \"9.46 (-2.5–18.8)\", \"bbox\": [433, 273, 484, 283]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3854066_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}69{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td><b>SLE (<i>n </i>= 63)</b></td><td><b>Control (<i>n </i>= 33)</b></td></tr></thead><tbody><tr><td><b>Age, median (range), years</b></td><td>[EMPTY_CELL]</td><td>45 (24 to 79)</td></tr><tr><td><b>Female, %</b></td><td>[EMPTY_CELL]</td><td>85</td></tr><tr><td><b>Male, %</b></td><td>[EMPTY_CELL]</td><td>15</td></tr><tr><td><b>Disease duration, median (range), years</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>SLEDAI score, median (range)</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Seizure</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Psychosis</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Organic brain syndrome</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Visual disturbance</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Cranial nerve disorder</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Lupus headache</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Cerebrovascular accident</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Vasculitis</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Arthritis</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Myositis</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Kidney involvement (urinary cast, hematuria, proteinuria or pyuria)</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Mucocutaneous activity (rash, alopecia or mucosal ulcers)</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Pleurisy</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Pericarditis</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Low complement (C3 or C4)</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Anti-DNA antibodies</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Fever</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Thrombocytopenia</b></td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td><b>Leukopenia</b></td><td>[EMPTY_CELL]</td><td>-</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 52, 13]}, {\"cell\": \"<b>SLE (<i>n </i>= 63)</b>\", \"bbox\": [120, 4, 164, 13]}, {\"cell\": \"<b>Control (<i>n </i>= 33)</b>\", \"bbox\": [175, 4, 233, 13]}, {\"cell\": \"<b>Age, median (range), years</b>\", \"bbox\": [1, 17, 96, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 17, 164, 26]}, {\"cell\": \"45 (24 to 79)\", \"bbox\": [182, 17, 226, 26]}, {\"cell\": \"<b>Female, %</b>\", \"bbox\": [1, 29, 38, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 29, 147, 38]}, {\"cell\": \"85\", \"bbox\": [199, 29, 209, 38]}, {\"cell\": \"<b>Male, %</b>\", \"bbox\": [1, 41, 30, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 41, 145, 50]}, {\"cell\": \"15\", \"bbox\": [199, 41, 209, 50]}, {\"cell\": \"<b>Disease duration, median (range), years</b>\", \"bbox\": [1, 53, 91, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 53, 160, 62]}, {\"cell\": \"-\", \"bbox\": [202, 53, 206, 62]}, {\"cell\": \"<b>SLEDAI score, median (range)</b>\", \"bbox\": [1, 74, 105, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 74, 160, 83]}, {\"cell\": \"-\", \"bbox\": [202, 74, 206, 83]}, {\"cell\": \"<b>Seizure</b>\", \"bbox\": [1, 86, 28, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 86, 145, 95]}, {\"cell\": \"-\", \"bbox\": [202, 86, 206, 95]}, {\"cell\": \"<b>Psychosis</b>\", \"bbox\": [1, 98, 35, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 98, 145, 107]}, {\"cell\": \"-\", \"bbox\": [202, 98, 206, 107]}, {\"cell\": \"<b>Organic brain syndrome</b>\", \"bbox\": [1, 110, 87, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 110, 145, 119]}, {\"cell\": \"-\", \"bbox\": [202, 110, 206, 119]}, {\"cell\": \"<b>Visual disturbance</b>\", \"bbox\": [1, 122, 66, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 122, 145, 131]}, {\"cell\": \"-\", \"bbox\": [202, 122, 206, 131]}, {\"cell\": \"<b>Cranial nerve disorder</b>\", \"bbox\": [1, 134, 80, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 134, 145, 143]}, {\"cell\": \"-\", \"bbox\": [202, 134, 206, 143]}, {\"cell\": \"<b>Lupus headache</b>\", \"bbox\": [1, 146, 59, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 146, 145, 154]}, {\"cell\": \"-\", \"bbox\": [202, 146, 206, 154]}, {\"cell\": \"<b>Cerebrovascular accident</b>\", \"bbox\": [1, 158, 90, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 158, 145, 166]}, {\"cell\": \"-\", \"bbox\": [202, 158, 206, 166]}, {\"cell\": \"<b>Vasculitis</b>\", \"bbox\": [1, 170, 35, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 170, 145, 178]}, {\"cell\": \"-\", \"bbox\": [202, 170, 206, 178]}, {\"cell\": \"<b>Arthritis</b>\", \"bbox\": [1, 182, 30, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 182, 145, 190]}, {\"cell\": \"-\", \"bbox\": [202, 182, 206, 190]}, {\"cell\": \"<b>Myositis</b>\", \"bbox\": [1, 194, 31, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 194, 145, 202]}, {\"cell\": \"-\", \"bbox\": [202, 194, 206, 202]}, {\"cell\": \"<b>Kidney involvement (urinary cast, hematuria, proteinuria or pyuria)</b>\", \"bbox\": [1, 206, 109, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 206, 147, 214]}, {\"cell\": \"-\", \"bbox\": [202, 206, 206, 214]}, {\"cell\": \"<b>Mucocutaneous activity (rash, alopecia or mucosal ulcers)</b>\", \"bbox\": [1, 235, 106, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 236, 147, 244]}, {\"cell\": \"-\", \"bbox\": [202, 236, 206, 244]}, {\"cell\": \"<b>Pleurisy</b>\", \"bbox\": [1, 256, 30, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 256, 145, 265]}, {\"cell\": \"-\", \"bbox\": [202, 256, 206, 265]}, {\"cell\": \"<b>Pericarditis</b>\", \"bbox\": [1, 268, 41, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 268, 145, 277]}, {\"cell\": \"-\", \"bbox\": [202, 268, 206, 277]}, {\"cell\": \"<b>Low complement (C3 or C4)</b>\", \"bbox\": [1, 280, 100, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 280, 147, 289]}, {\"cell\": \"-\", \"bbox\": [202, 280, 206, 289]}, {\"cell\": \"<b>Anti-DNA antibodies</b>\", \"bbox\": [1, 292, 74, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 292, 147, 301]}, {\"cell\": \"-\", \"bbox\": [202, 292, 206, 301]}, {\"cell\": \"<b>Fever</b>\", \"bbox\": [1, 304, 21, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 304, 145, 313]}, {\"cell\": \"-\", \"bbox\": [202, 304, 206, 313]}, {\"cell\": \"<b>Thrombocytopenia</b>\", \"bbox\": [1, 316, 68, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 316, 145, 325]}, {\"cell\": \"-\", \"bbox\": [202, 316, 206, 325]}, {\"cell\": \"<b>Leukopenia</b>\", \"bbox\": [1, 328, 42, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 328, 145, 337]}, {\"cell\": \"-\", \"bbox\": [202, 328, 206, 337]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3132055_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}70{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>No.</b></td><td><b>Age</b></td><td><b>Gender</b></td><td><b>Position</b></td><td><b>Pathology</b></td><td><b>Sample use</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>3 months 8 days</td><td>Male</td><td>Left axilla</td><td>IH</td><td>RNA-seq</td></tr><tr><td>[EMPTY_CELL]</td><td>7 months 5 days</td><td>Female</td><td>Head</td><td>IH</td><td>RNA-seq</td></tr><tr><td>[EMPTY_CELL]</td><td>12 months</td><td>Female</td><td>Left Abdomen</td><td>IH</td><td>RNA-seq</td></tr><tr><td>[EMPTY_CELL]</td><td>9 months</td><td>Female</td><td>Right thoracic wall</td><td>IH</td><td>qRT-PCR</td></tr><tr><td>[EMPTY_CELL]</td><td>5 months</td><td>Male</td><td>Thoracic wall</td><td>IH</td><td>qRT-PCR</td></tr><tr><td>[EMPTY_CELL]</td><td>6 months 9 days</td><td>Female</td><td>Occiput</td><td>IH</td><td>qRT-PCR</td></tr><tr><td>[EMPTY_CELL]</td><td>8 months 13 days</td><td>Female</td><td>Right posterior neck</td><td>IH</td><td>qRT-PCR</td></tr><tr><td>[EMPTY_CELL]</td><td>10 months</td><td>Female</td><td>Left abdomen</td><td>IH</td><td>qRT-PCR</td></tr><tr><td>[EMPTY_CELL]</td><td>4 months</td><td>Female</td><td>Right thoracic wall</td><td>IH</td><td>qRT-PCR</td></tr><tr><td>[EMPTY_CELL]</td><td>11 months</td><td>Male</td><td>Thoracic wall</td><td>IH</td><td>qRT-PCR</td></tr><tr><td>[EMPTY_CELL]</td><td>8 months 21 days</td><td>Female</td><td>Occiput</td><td>IH</td><td>qRT-PCR</td></tr><tr><td>[EMPTY_CELL]</td><td>5 months 12 days</td><td>Female</td><td>Head</td><td>IH</td><td>qRT-PCR</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>No.</b>\", \"bbox\": [5, 2, 21, 17]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [89, 5, 108, 16]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [166, 2, 201, 17]}, {\"cell\": \"<b>Position</b>\", \"bbox\": [258, 2, 294, 17]}, {\"cell\": \"<b>Pathology</b>\", \"bbox\": [348, 2, 393, 17]}, {\"cell\": \"<b>Sample use</b>\", \"bbox\": [431, 2, 481, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 22, 12, 33]}, {\"cell\": \"3 months 8 days\", \"bbox\": [65, 19, 132, 34]}, {\"cell\": \"Male\", \"bbox\": [172, 22, 195, 33]}, {\"cell\": \"Left axilla\", \"bbox\": [254, 19, 298, 34]}, {\"cell\": \"IH\", \"bbox\": [364, 22, 377, 33]}, {\"cell\": \"RNA-seq\", \"bbox\": [436, 22, 476, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 36, 12, 52]}, {\"cell\": \"7 months 5 days\", \"bbox\": [65, 40, 132, 51]}, {\"cell\": \"Female\", \"bbox\": [168, 40, 199, 51]}, {\"cell\": \"Head\", \"bbox\": [265, 40, 288, 51]}, {\"cell\": \"IH\", \"bbox\": [364, 40, 377, 51]}, {\"cell\": \"RNA-seq\", \"bbox\": [436, 40, 476, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 54, 12, 69]}, {\"cell\": \"12 months\", \"bbox\": [76, 54, 120, 69]}, {\"cell\": \"Female\", \"bbox\": [168, 57, 199, 68]}, {\"cell\": \"Left Abdomen\", \"bbox\": [246, 54, 306, 69]}, {\"cell\": \"IH\", \"bbox\": [364, 57, 377, 68]}, {\"cell\": \"RNA-seq\", \"bbox\": [436, 57, 476, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 75, 12, 86]}, {\"cell\": \"9 months\", \"bbox\": [79, 75, 118, 86]}, {\"cell\": \"Female\", \"bbox\": [168, 75, 199, 86]}, {\"cell\": \"Right thoracic wall\", \"bbox\": [237, 75, 315, 86]}, {\"cell\": \"IH\", \"bbox\": [364, 75, 377, 86]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 75, 477, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 92, 12, 103]}, {\"cell\": \"5 months\", \"bbox\": [79, 92, 118, 103]}, {\"cell\": \"Male\", \"bbox\": [172, 92, 195, 103]}, {\"cell\": \"Thoracic wall\", \"bbox\": [247, 92, 305, 103]}, {\"cell\": \"IH\", \"bbox\": [364, 92, 377, 103]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 92, 477, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 107, 12, 118]}, {\"cell\": \"6 months 9 days\", \"bbox\": [65, 107, 132, 118]}, {\"cell\": \"Female\", \"bbox\": [168, 107, 199, 118]}, {\"cell\": \"Occiput\", \"bbox\": [259, 107, 293, 118]}, {\"cell\": \"IH\", \"bbox\": [364, 107, 377, 118]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 107, 477, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 122, 12, 133]}, {\"cell\": \"8 months 13 days\", \"bbox\": [62, 119, 134, 134]}, {\"cell\": \"Female\", \"bbox\": [168, 122, 199, 133]}, {\"cell\": \"Right posterior neck\", \"bbox\": [234, 119, 318, 134]}, {\"cell\": \"IH\", \"bbox\": [364, 122, 377, 133]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 122, 476, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 137, 12, 148]}, {\"cell\": \"10 months\", \"bbox\": [76, 137, 120, 148]}, {\"cell\": \"Female\", \"bbox\": [168, 137, 199, 148]}, {\"cell\": \"Left abdomen\", \"bbox\": [247, 134, 305, 149]}, {\"cell\": \"IH\", \"bbox\": [364, 137, 377, 148]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 137, 476, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 152, 12, 163]}, {\"cell\": \"4 months\", \"bbox\": [79, 152, 118, 163]}, {\"cell\": \"Female\", \"bbox\": [168, 152, 199, 163]}, {\"cell\": \"Right thoracic wall\", \"bbox\": [237, 152, 315, 163]}, {\"cell\": \"IH\", \"bbox\": [364, 152, 377, 163]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 152, 477, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 167, 17, 178]}, {\"cell\": \"11 months\", \"bbox\": [76, 167, 120, 178]}, {\"cell\": \"Male\", \"bbox\": [172, 167, 195, 178]}, {\"cell\": \"Thoracic wall\", \"bbox\": [247, 167, 305, 178]}, {\"cell\": \"IH\", \"bbox\": [364, 167, 377, 178]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 167, 477, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 182, 16, 193]}, {\"cell\": \"8 months 21 days\", \"bbox\": [62, 178, 134, 194]}, {\"cell\": \"Female\", \"bbox\": [168, 182, 199, 193]}, {\"cell\": \"Occiput\", \"bbox\": [259, 182, 293, 193]}, {\"cell\": \"IH\", \"bbox\": [364, 182, 377, 193]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 182, 476, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 193, 17, 208]}, {\"cell\": \"5 months 12 days\", \"bbox\": [62, 193, 134, 208]}, {\"cell\": \"Female\", \"bbox\": [168, 196, 199, 208]}, {\"cell\": \"Head\", \"bbox\": [265, 196, 288, 208]}, {\"cell\": \"IH\", \"bbox\": [364, 196, 377, 208]}, {\"cell\": \"qRT-PCR\", \"bbox\": [436, 196, 476, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5844720_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}71{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Tertile 1</b></td><td><b>Tertile 2</b></td><td><b>p</b></td><td><b>Tertile 3</b></td><td><b>p</b></td><td><b>p for trend</b></td></tr></thead><tbody><tr><td><b>C-Peptide (ng/mL)</b></td><td>[EMPTY_CELL]</td><td>−2.19 (−8.35 to 4.40)</td><td>0.505</td><td>−6.10 (−12.61 to 0.91)</td><td>0.086</td><td>0.083</td></tr><tr><td><b>Ghrelin (pg/mL)</b></td><td>[EMPTY_CELL]</td><td>1.69 (−8.58 to 13.11)</td><td>0.758</td><td>−15.00 (−24.49 to −4.32)</td><td>0.007</td><td>0.003</td></tr><tr><td><b>GIP (pg/mL)</b></td><td>[EMPTY_CELL]</td><td>0.08 (−10.17 to 11.49)</td><td>0.989</td><td>−12.94 (−22.75 to −1.89)</td><td>0.023</td><td>0.014</td></tr><tr><td><b>GLP-1 (ng/mL)</b></td><td>[EMPTY_CELL]</td><td>0.21 (−12.99 to 15.42)</td><td>0.977</td><td>−17.64 (−29.67 to −3.56)</td><td>0.016</td><td>0.009</td></tr><tr><td><b>IL-6 (pg/ml)</b></td><td>[EMPTY_CELL]</td><td>−4.50 (−18.17 to 11.46)</td><td>0.559</td><td>−27.89 (−39.20 to −14.48)</td><td><0.001</td><td><0.001</td></tr><tr><td><b>Leptin (ng/mL)</b></td><td>[EMPTY_CELL]</td><td>−7.79 (−15.61 to 0.76)</td><td>0.073</td><td>−10.26 (−18.62 to −1.03)</td><td>0.030</td><td>0.044</td></tr><tr><td><b>PAI-1 (ng/mL)</b></td><td>[EMPTY_CELL]</td><td>−3.06 (−10.65 to 5.17)</td><td>0.454</td><td>−3.24 (−11.61 to 5.93)</td><td>0.476</td><td>0.529</td></tr><tr><td><b>Resistin (ng/mL)</b></td><td>[EMPTY_CELL]</td><td>−2.43 (−11.03 to 7.01)</td><td>0.601</td><td>−6.66 (−15.71 to 3.35)</td><td>0.184</td><td>0.180</td></tr><tr><td><b>TNF (pg/mL)</b></td><td>[EMPTY_CELL]</td><td>−3.96 (−20.47 to 15.98)</td><td>0.674</td><td>−26.89 (−40.65 to −9.94)</td><td>0.003</td><td>0.002</td></tr><tr><td><b>Visfatin (ng/mL)</b></td><td>[EMPTY_CELL]</td><td>−8.08 (−24.73 to 12.24)</td><td>0.408</td><td>−24.90 (−39.86 to −6.22)</td><td>0.012</td><td>0.010</td></tr><tr><td><b>Adiponectin (μg/mL)</b></td><td>[EMPTY_CELL]</td><td>−3.27 (−19.20 to 15.79)</td><td>0.716</td><td>−7.34 (−23.98 to 12.93)</td><td>0.449</td><td>0.452</td></tr><tr><td><b>Adipsin (μg/mL)</b></td><td>[EMPTY_CELL]</td><td>−2.45 (−15.37 to 12.45)</td><td>0.732</td><td>−7.39 (−20.90 to 8.44)</td><td>0.340</td><td>0.332</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Tertile 1</b>\", \"bbox\": [97, 4, 128, 13]}, {\"cell\": \"<b>Tertile 2</b>\", \"bbox\": [173, 4, 204, 13]}, {\"cell\": \"<b>p</b>\", \"bbox\": [255, 4, 262, 13]}, {\"cell\": \"<b>Tertile 3</b>\", \"bbox\": [318, 4, 348, 13]}, {\"cell\": \"<b>p</b>\", \"bbox\": [406, 4, 413, 13]}, {\"cell\": \"<b>p for trend</b>\", \"bbox\": [444, 4, 484, 13]}, {\"cell\": \"<b>C-Peptide (ng/mL)</b>\", \"bbox\": [1, 17, 66, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 17, 119, 26]}, {\"cell\": \"−2.19 (−8.35 to 4.40)\", \"bbox\": [154, 17, 222, 26]}, {\"cell\": \"0.505\", \"bbox\": [249, 17, 268, 26]}, {\"cell\": \"−6.10 (−12.61 to 0.91)\", \"bbox\": [297, 17, 369, 26]}, {\"cell\": \"0.086\", \"bbox\": [400, 17, 419, 26]}, {\"cell\": \"0.083\", \"bbox\": [455, 17, 474, 26]}, {\"cell\": \"<b>Ghrelin (pg/mL)</b>\", \"bbox\": [1, 30, 57, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 30, 119, 39]}, {\"cell\": \"1.69 (−8.58 to 13.11)\", \"bbox\": [155, 30, 222, 39]}, {\"cell\": \"0.758\", \"bbox\": [249, 30, 268, 39]}, {\"cell\": \"−15.00 (−24.49 to −4.32)\", \"bbox\": [293, 30, 373, 39]}, {\"cell\": \"0.007\", \"bbox\": [400, 30, 419, 39]}, {\"cell\": \"0.003\", \"bbox\": [455, 30, 474, 39]}, {\"cell\": \"<b>GIP (pg/mL)</b>\", \"bbox\": [1, 43, 44, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 43, 119, 52]}, {\"cell\": \"0.08 (−10.17 to 11.49)\", \"bbox\": [153, 43, 224, 52]}, {\"cell\": \"0.989\", \"bbox\": [249, 43, 268, 52]}, {\"cell\": \"−12.94 (−22.75 to −1.89)\", \"bbox\": [293, 43, 373, 52]}, {\"cell\": \"0.023\", \"bbox\": [400, 43, 419, 52]}, {\"cell\": \"0.014\", \"bbox\": [455, 43, 474, 52]}, {\"cell\": \"<b>GLP-1 (ng/mL)</b>\", \"bbox\": [1, 57, 52, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 57, 119, 65]}, {\"cell\": \"0.21 (−12.99 to 15.42)\", \"bbox\": [153, 57, 224, 65]}, {\"cell\": \"0.977\", \"bbox\": [249, 57, 268, 65]}, {\"cell\": \"−17.64 (−29.67 to −3.56)\", \"bbox\": [293, 57, 373, 65]}, {\"cell\": \"0.016\", \"bbox\": [400, 57, 419, 65]}, {\"cell\": \"0.009\", \"bbox\": [455, 57, 474, 65]}, {\"cell\": \"<b>IL-6 (pg/ml)</b>\", \"bbox\": [1, 70, 43, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 70, 119, 78]}, {\"cell\": \"−4.50 (−18.17 to 11.46)\", \"bbox\": [151, 70, 226, 78]}, {\"cell\": \"0.559\", \"bbox\": [249, 70, 268, 78]}, {\"cell\": \"−27.89 (−39.20 to −14.48)\", \"bbox\": [291, 70, 375, 78]}, {\"cell\": \"<0.001\", \"bbox\": [398, 70, 421, 78]}, {\"cell\": \"<0.001\", \"bbox\": [453, 70, 476, 78]}, {\"cell\": \"<b>Leptin (ng/mL)</b>\", \"bbox\": [1, 83, 54, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 83, 119, 92]}, {\"cell\": \"−7.79 (−15.61 to 0.76)\", \"bbox\": [153, 83, 224, 92]}, {\"cell\": \"0.073\", \"bbox\": [249, 83, 268, 92]}, {\"cell\": \"−10.26 (−18.62 to −1.03)\", \"bbox\": [293, 83, 373, 92]}, {\"cell\": \"0.030\", \"bbox\": [400, 83, 419, 92]}, {\"cell\": \"0.044\", \"bbox\": [455, 83, 474, 92]}, {\"cell\": \"<b>PAI-1 (ng/mL)</b>\", \"bbox\": [1, 96, 50, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 96, 119, 105]}, {\"cell\": \"−3.06 (−10.65 to 5.17)\", \"bbox\": [153, 96, 224, 105]}, {\"cell\": \"0.454\", \"bbox\": [249, 96, 268, 105]}, {\"cell\": \"−3.24 (−11.61 to 5.93)\", \"bbox\": [297, 96, 369, 105]}, {\"cell\": \"0.476\", \"bbox\": [400, 96, 419, 105]}, {\"cell\": \"0.529\", \"bbox\": [455, 96, 474, 105]}, {\"cell\": \"<b>Resistin (ng/mL)</b>\", \"bbox\": [1, 109, 58, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 109, 119, 118]}, {\"cell\": \"−2.43 (−11.03 to 7.01)\", \"bbox\": [153, 109, 224, 118]}, {\"cell\": \"0.601\", \"bbox\": [249, 109, 268, 118]}, {\"cell\": \"−6.66 (−15.71 to 3.35)\", \"bbox\": [297, 109, 369, 118]}, {\"cell\": \"0.184\", \"bbox\": [400, 109, 419, 118]}, {\"cell\": \"0.180\", \"bbox\": [455, 109, 474, 118]}, {\"cell\": \"<b>TNF (pg/mL)</b>\", \"bbox\": [1, 122, 46, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 122, 119, 131]}, {\"cell\": \"−3.96 (−20.47 to 15.98)\", \"bbox\": [151, 122, 226, 131]}, {\"cell\": \"0.674\", \"bbox\": [249, 122, 268, 131]}, {\"cell\": \"−26.89 (−40.65 to −9.94)\", \"bbox\": [293, 122, 373, 131]}, {\"cell\": \"0.003\", \"bbox\": [400, 122, 419, 131]}, {\"cell\": \"0.002\", \"bbox\": [455, 122, 474, 131]}, {\"cell\": \"<b>Visfatin (ng/mL)</b>\", \"bbox\": [1, 135, 58, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 135, 119, 144]}, {\"cell\": \"−8.08 (−24.73 to 12.24)\", \"bbox\": [151, 135, 226, 144]}, {\"cell\": \"0.408\", \"bbox\": [249, 135, 268, 144]}, {\"cell\": \"−24.90 (−39.86 to −6.22)\", \"bbox\": [293, 135, 373, 144]}, {\"cell\": \"0.012\", \"bbox\": [400, 135, 419, 144]}, {\"cell\": \"0.010\", \"bbox\": [455, 135, 474, 144]}, {\"cell\": \"<b>Adiponectin (μg/mL)</b>\", \"bbox\": [1, 149, 74, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 149, 119, 157]}, {\"cell\": \"−3.27 (−19.20 to 15.79)\", \"bbox\": [151, 149, 226, 157]}, {\"cell\": \"0.716\", \"bbox\": [249, 149, 268, 157]}, {\"cell\": \"−7.34 (−23.98 to 12.93)\", \"bbox\": [295, 149, 371, 157]}, {\"cell\": \"0.449\", \"bbox\": [400, 149, 419, 157]}, {\"cell\": \"0.452\", \"bbox\": [455, 149, 474, 157]}, {\"cell\": \"<b>Adipsin (μg/mL)</b>\", \"bbox\": [1, 162, 58, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 162, 119, 170]}, {\"cell\": \"−2.45 (−15.37 to 12.45)\", \"bbox\": [151, 162, 226, 170]}, {\"cell\": \"0.732\", \"bbox\": [249, 162, 268, 170]}, {\"cell\": \"−7.39 (−20.90 to 8.44)\", \"bbox\": [297, 162, 369, 170]}, {\"cell\": \"0.340\", \"bbox\": [400, 162, 419, 170]}, {\"cell\": \"0.332\", \"bbox\": [455, 162, 474, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3558443_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}72{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>M</i></b></td><td><b><i>SD</i></b></td><td><b>Range</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 32)</td><td>168.6</td><td>112.2</td><td>29.43–463.2</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>170.7</td><td>99.11</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 37)</td><td>166</td><td>102.3</td><td>17.39–387.4</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>171.5</td><td>96.39</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 35)</td><td>170.6</td><td>102.8</td><td>12.77–410.4</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>171.9</td><td>93.06</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 29)</td><td>162.5</td><td>108</td><td>36.7–440.2</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>157</td><td>93.62</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 36)</td><td>434.15</td><td>295.79</td><td>100.24–1120.54</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>336.15</td><td>170.56</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>47.71–723.26</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 34)</td><td>4.27</td><td>30.00</td><td>−75.58–66.62</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>0.22</td><td>30.29</td><td>−80.46–66.62</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 26)</td><td>169.5</td><td>132.6</td><td>35.13–503</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>185</td><td>109.6</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 30)</td><td>193.9</td><td>119.3</td><td>29.72–485.1</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>202.4</td><td>104.5</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 28)</td><td>182.1</td><td>116.8</td><td>11.5–441</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>177.6</td><td>100.4</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 22)</td><td>159.5</td><td>76.09</td><td>52.04–320</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>161</td><td>61.76</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 26)</td><td>447.67</td><td>291.42</td><td>123.43–1277.42</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>359.36</td><td>158.79</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>94.71–808.60</td></tr><tr><td>[EMPTY_CELL]</td><td>Original (<i>n</i> = 24)</td><td>−7.79</td><td>54.19</td><td>−163.59–63.32</td></tr><tr><td>[EMPTY_CELL]</td><td>Imputed (<i>N</i> = 43)</td><td>−12.40</td><td>49.68</td><td>−163.59–80.72</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>M</i></b>\", \"bbox\": [120, 6, 128, 14]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [161, 6, 173, 14]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [208, 6, 232, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 23, 44, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 35, 15, 43]}, {\"cell\": \"Original (<i>n</i> = 32)\", \"bbox\": [40, 35, 89, 43]}, {\"cell\": \"168.6\", \"bbox\": [111, 35, 131, 43]}, {\"cell\": \"112.2\", \"bbox\": [155, 35, 175, 43]}, {\"cell\": \"29.43–463.2\", \"bbox\": [203, 35, 243, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 46, 93, 55]}, {\"cell\": \"170.7\", \"bbox\": [111, 46, 131, 55]}, {\"cell\": \"99.11\", \"bbox\": [155, 46, 175, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 15, 66]}, {\"cell\": \"Original (<i>n</i> = 37)\", \"bbox\": [40, 57, 89, 66]}, {\"cell\": \"166\", \"bbox\": [111, 57, 125, 66]}, {\"cell\": \"102.3\", \"bbox\": [155, 57, 175, 66]}, {\"cell\": \"17.39–387.4\", \"bbox\": [203, 57, 243, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 69, 93, 77]}, {\"cell\": \"171.5\", \"bbox\": [111, 69, 131, 77]}, {\"cell\": \"96.39\", \"bbox\": [155, 69, 175, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 15, 89]}, {\"cell\": \"Original (<i>n</i> = 35)\", \"bbox\": [40, 80, 89, 89]}, {\"cell\": \"170.6\", \"bbox\": [111, 80, 131, 89]}, {\"cell\": \"102.8\", \"bbox\": [155, 80, 175, 89]}, {\"cell\": \"12.77–410.4\", \"bbox\": [203, 80, 243, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 92, 93, 100]}, {\"cell\": \"171.9\", \"bbox\": [111, 92, 131, 100]}, {\"cell\": \"93.06\", \"bbox\": [155, 92, 175, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 103, 15, 111]}, {\"cell\": \"Original (<i>n</i> = 29)\", \"bbox\": [40, 103, 89, 111]}, {\"cell\": \"162.5\", \"bbox\": [111, 103, 131, 111]}, {\"cell\": \"108\", \"bbox\": [155, 103, 169, 111]}, {\"cell\": \"36.7–440.2\", \"bbox\": [205, 103, 241, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 114, 93, 123]}, {\"cell\": \"157\", \"bbox\": [111, 114, 125, 123]}, {\"cell\": \"93.62\", \"bbox\": [155, 114, 175, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 126, 21, 135]}, {\"cell\": \"Original (<i>n</i> = 36)\", \"bbox\": [40, 126, 89, 134]}, {\"cell\": \"434.15\", \"bbox\": [111, 126, 135, 134]}, {\"cell\": \"295.79\", \"bbox\": [155, 126, 178, 134]}, {\"cell\": \"100.24–1120.54\", \"bbox\": [197, 126, 249, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 137, 93, 146]}, {\"cell\": \"336.15\", \"bbox\": [111, 137, 135, 146]}, {\"cell\": \"170.56\", \"bbox\": [155, 137, 178, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"47.71–723.26\", \"bbox\": [201, 148, 245, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 160, 18, 169]}, {\"cell\": \"Original (<i>n</i> = 34)\", \"bbox\": [40, 160, 89, 168]}, {\"cell\": \"4.27\", \"bbox\": [111, 160, 127, 168]}, {\"cell\": \"30.00\", \"bbox\": [155, 160, 175, 168]}, {\"cell\": \"−75.58–66.62\", \"bbox\": [200, 160, 246, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 171, 93, 180]}, {\"cell\": \"0.22\", \"bbox\": [111, 171, 127, 180]}, {\"cell\": \"30.29\", \"bbox\": [155, 171, 175, 180]}, {\"cell\": \"−80.46–66.62\", \"bbox\": [200, 171, 246, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 182, 33, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 194, 15, 202]}, {\"cell\": \"Original (<i>n</i> = 26)\", \"bbox\": [40, 194, 89, 202]}, {\"cell\": \"169.5\", \"bbox\": [111, 194, 131, 202]}, {\"cell\": \"132.6\", \"bbox\": [155, 194, 175, 202]}, {\"cell\": \"35.13–503\", \"bbox\": [206, 194, 240, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 205, 93, 214]}, {\"cell\": \"185\", \"bbox\": [111, 205, 125, 214]}, {\"cell\": \"109.6\", \"bbox\": [155, 205, 175, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 216, 15, 225]}, {\"cell\": \"Original (<i>n</i> = 30)\", \"bbox\": [40, 216, 89, 225]}, {\"cell\": \"193.9\", \"bbox\": [111, 216, 131, 225]}, {\"cell\": \"119.3\", \"bbox\": [155, 216, 175, 225]}, {\"cell\": \"29.72–485.1\", \"bbox\": [203, 216, 243, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 228, 93, 236]}, {\"cell\": \"202.4\", \"bbox\": [111, 228, 131, 236]}, {\"cell\": \"104.5\", \"bbox\": [155, 228, 175, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 15, 248]}, {\"cell\": \"Original (<i>n</i> = 28)\", \"bbox\": [40, 239, 89, 248]}, {\"cell\": \"182.1\", \"bbox\": [111, 239, 131, 248]}, {\"cell\": \"116.8\", \"bbox\": [155, 239, 175, 248]}, {\"cell\": \"11.5–441\", \"bbox\": [208, 239, 239, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 251, 93, 259]}, {\"cell\": \"177.6\", \"bbox\": [111, 251, 131, 259]}, {\"cell\": \"100.4\", \"bbox\": [155, 251, 175, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 262, 15, 270]}, {\"cell\": \"Original (<i>n</i> = 22)\", \"bbox\": [40, 262, 89, 270]}, {\"cell\": \"159.5\", \"bbox\": [111, 262, 131, 270]}, {\"cell\": \"76.09\", \"bbox\": [155, 262, 175, 270]}, {\"cell\": \"52.04–320\", \"bbox\": [206, 262, 240, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 273, 93, 282]}, {\"cell\": \"161\", \"bbox\": [111, 273, 125, 282]}, {\"cell\": \"61.76\", \"bbox\": [155, 273, 175, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 285, 21, 294]}, {\"cell\": \"Original (<i>n</i> = 26)\", \"bbox\": [40, 285, 89, 293]}, {\"cell\": \"447.67\", \"bbox\": [111, 285, 135, 293]}, {\"cell\": \"291.42\", \"bbox\": [155, 285, 178, 293]}, {\"cell\": \"123.43–1277.42\", \"bbox\": [197, 285, 249, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 296, 93, 305]}, {\"cell\": \"359.36\", \"bbox\": [111, 296, 135, 305]}, {\"cell\": \"158.79\", \"bbox\": [155, 296, 178, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"94.71–808.60\", \"bbox\": [201, 307, 245, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 319, 18, 328]}, {\"cell\": \"Original (<i>n</i> = 24)\", \"bbox\": [40, 319, 89, 327]}, {\"cell\": \"−7.79\", \"bbox\": [111, 319, 132, 327]}, {\"cell\": \"54.19\", \"bbox\": [155, 319, 175, 327]}, {\"cell\": \"−163.59–63.32\", \"bbox\": [198, 319, 248, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Imputed (<i>N</i> = 43)\", \"bbox\": [40, 330, 93, 339]}, {\"cell\": \"−12.40\", \"bbox\": [111, 330, 136, 339]}, {\"cell\": \"49.68\", \"bbox\": [155, 330, 175, 339]}, {\"cell\": \"−163.59–80.72\", \"bbox\": [198, 330, 248, 339]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6026809_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}73{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Exposed workers (n = 106)</b></td><td><b>Control (unexposed) group (n = 106)</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>Mean age (±SD)</td><td>29.51 ± 0.56</td><td>30.91 ± 0.78</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of females</td><td>25 (23.6%)</td><td>17 (16.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of males</td><td>81 (76.4%)</td><td>89 (84.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Smoker</td><td>54 (50.9%)</td><td>52 (49.1%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Non-smoker and ex-smoker</td><td>52 (49.1%)</td><td>54 (50.9%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Cigarette (per-day)</td><td>6.44 ± 0.79</td><td>6.71 ± 0.84</td><td>[EMPTY_CELL]</td></tr><tr><td>Employment duration (months)</td><td>65.39 ± 55.69</td><td>75.53 ± 73.63</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Exposed workers (n = 106)</b>\", \"bbox\": [169, 6, 252, 33]}, {\"cell\": \"<b>Control (unexposed) group (n = 106)</b>\", \"bbox\": [268, 6, 366, 33]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [399, 14, 407, 25]}, {\"cell\": \"Mean age (±SD)\", \"bbox\": [7, 37, 82, 49]}, {\"cell\": \"29.51 ± 0.56\", \"bbox\": [182, 37, 240, 49]}, {\"cell\": \"30.91 ± 0.78\", \"bbox\": [288, 37, 346, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 37, 411, 49]}, {\"cell\": \"Number of females\", \"bbox\": [7, 51, 93, 63]}, {\"cell\": \"25 (23.6%)\", \"bbox\": [185, 51, 237, 63]}, {\"cell\": \"17 (16.0%)\", \"bbox\": [291, 51, 343, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 51, 411, 63]}, {\"cell\": \"Number of males\", \"bbox\": [7, 67, 85, 79]}, {\"cell\": \"81 (76.4%)\", \"bbox\": [185, 67, 237, 79]}, {\"cell\": \"89 (84.0%)\", \"bbox\": [291, 67, 343, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 67, 411, 79]}, {\"cell\": \"Smoker\", \"bbox\": [7, 81, 42, 93]}, {\"cell\": \"54 (50.9%)\", \"bbox\": [185, 81, 237, 93]}, {\"cell\": \"52 (49.1%)\", \"bbox\": [291, 81, 343, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 81, 411, 93]}, {\"cell\": \"Non-smoker and ex-smoker\", \"bbox\": [7, 97, 131, 109]}, {\"cell\": \"52 (49.1%)\", \"bbox\": [185, 97, 237, 109]}, {\"cell\": \"54 (50.9%)\", \"bbox\": [291, 97, 343, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 97, 411, 109]}, {\"cell\": \"Cigarette (per-day)\", \"bbox\": [7, 111, 92, 123]}, {\"cell\": \"6.44 ± 0.79\", \"bbox\": [185, 111, 237, 123]}, {\"cell\": \"6.71 ± 0.84\", \"bbox\": [291, 111, 343, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 111, 411, 123]}, {\"cell\": \"Employment duration (months)\", \"bbox\": [7, 127, 147, 139]}, {\"cell\": \"65.39 ± 55.69\", \"bbox\": [179, 127, 242, 139]}, {\"cell\": \"75.53 ± 73.63\", \"bbox\": [285, 127, 349, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 127, 411, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3366600_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}74{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Citation no.</b></td><td><b>Patients</b></td><td><b>N</b></td><td><b>Dose (mg/day)</b></td><td><b>Weeks</b></td><td><b>Mean ∆ in TG (%)</b></td><td><b>Mean ∆ in HDL-C (%)</b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"8\\\">[EMPTY_CELL]</td><td rowspan=\\\"8\\\">Japanese patients with atherogenic dyslipidaemia<sup>a</sup></td><td rowspan=\\\"8\\\">224</td><td>Pemafibrate</td><td rowspan=\\\"8\\\">12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>↓30.9 ± 6.9***</td><td>↑11.9 ± 2.8***</td></tr><tr><td>[EMPTY_CELL]</td><td>↓36.4 ± 6.6***</td><td>↑16.5 ± 2.7***</td></tr><tr><td>[EMPTY_CELL]</td><td>↓42.6 ± 6.7***</td><td>↑16.3 ± 2.8***</td></tr><tr><td>[EMPTY_CELL]</td><td>↓42.7 ± 6.7***</td><td>↑21.0 ± 2.8***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>↓29.7 ± 6.7</td><td>↑14.3 ± 2.8</td></tr><tr><td>[EMPTY_CELL]</td><td>↑28.5 ± 6.8</td><td>↓2.3 ± 2.8</td></tr><tr><td rowspan=\\\"8\\\">[EMPTY_CELL]</td><td rowspan=\\\"8\\\">Japanese patients with atherogenic dyslipidaemia<sup>a</sup></td><td rowspan=\\\"8\\\">526</td><td>Pemafibrate</td><td rowspan=\\\"8\\\">12</td><td>[EMPTY_CELL]</td><td>↑20.3–24.7</td></tr><tr><td>[EMPTY_CELL]</td><td>↓46.3***</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>↓46.7***</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>↓51.8***</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>↑17.2–26.5</td></tr><tr><td>[EMPTY_CELL]</td><td>↓38.3***</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>↓51.5***</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>↓2.7</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td rowspan=\\\"4\\\">Japanese patients with TG ≥ 2.3 mmol/L</td><td rowspan=\\\"4\\\">423</td><td>Pemafibrate</td><td rowspan=\\\"4\\\">24</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>↓46.8 ± 2.6***</td><td>↑17.6 ± 17.2***</td></tr><tr><td>[EMPTY_CELL]</td><td>↓50.8 ± 2.5***</td><td>↑16.3 ± 14.6***</td></tr><tr><td>[EMPTY_CELL]</td><td>↓0.8 ± 3.0</td><td>↑4.4 ± 12.7</td></tr><tr><td rowspan=\\\"5\\\">[EMPTY_CELL]</td><td rowspan=\\\"5\\\">Add-on to pitavastatin Japanese patients with TG ≥ 2.3 mmol/L, non-HDL-C ≥ 3.9 mmol/L</td><td rowspan=\\\"5\\\">188</td><td>Pemafibrate</td><td rowspan=\\\"5\\\">12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>↓46.1 ± 3.9***</td><td>↑13.6 ± 15.4**</td></tr><tr><td>[EMPTY_CELL]</td><td>↓53.4 ± 3.8***</td><td>↑19.7 ± 19.4***</td></tr><tr><td>[EMPTY_CELL]</td><td>↓52.0 ± 3.9***</td><td>↑12.7 ± 19.3*</td></tr><tr><td>[EMPTY_CELL]</td><td>↓6.9 ± 4.0</td><td>↑3.4 ± 12.5</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td rowspan=\\\"4\\\">T2DM and dyslipidemia Japanese patients with TG ≥ 1.7 and < 11.3 mmol/L</td><td rowspan=\\\"4\\\">167</td><td>Pemafibrate</td><td rowspan=\\\"4\\\">24</td><td>[EMPTY_CELL]</td><td rowspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>↓44.3***</td></tr><tr><td>[EMPTY_CELL]</td><td>↓45.1***</td></tr><tr><td>[EMPTY_CELL]</td><td>↓10.8***</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Caucasian patients, controlled LDL-C and atherogenic dyslipidaemia<sup>b</sup></td><td rowspan=\\\"2\\\">408</td><td>Pemafibrate</td><td rowspan=\\\"2\\\">12</td><td>↓34.0–54.4***</td><td>↑7.4–12.9***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Caucasian type 2 diabetes patients with controlled LDL-C and atherogenic dyslipidaemia<sup>b</sup></td><td rowspan=\\\"2\\\">161<sup>d</sup></td><td>Pemafibrate</td><td rowspan=\\\"2\\\">12</td><td>↓44.7–67.4***</td><td>NR</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Citation no.</b>\", \"bbox\": [1, 4, 42, 14]}, {\"cell\": \"<b>Patients</b>\", \"bbox\": [48, 4, 78, 14]}, {\"cell\": \"<b>N</b>\", \"bbox\": [239, 4, 246, 14]}, {\"cell\": \"<b>Dose (mg/day)</b>\", \"bbox\": [260, 4, 313, 14]}, {\"cell\": \"<b>Weeks</b>\", \"bbox\": [317, 4, 342, 14]}, {\"cell\": \"<b>Mean ∆ in TG (%)</b>\", \"bbox\": [346, 4, 406, 14]}, {\"cell\": \"<b>Mean ∆ in HDL-C (%)</b>\", \"bbox\": [411, 4, 484, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 22, 46, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 34, 19, 44]}, {\"cell\": \"Japanese patients with atherogenic dyslipidaemia<sup>a</sup>\", \"bbox\": [48, 33, 212, 44]}, {\"cell\": \"224\", \"bbox\": [242, 34, 256, 44]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 34, 301, 44]}, {\"cell\": \"12\", \"bbox\": [317, 34, 327, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 46, 275, 56]}, {\"cell\": \"↓30.9 ± 6.9***\", \"bbox\": [346, 46, 395, 56]}, {\"cell\": \"↑11.9 ± 2.8***\", \"bbox\": [411, 46, 459, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 58, 271, 68]}, {\"cell\": \"↓36.4 ± 6.6***\", \"bbox\": [346, 58, 395, 68]}, {\"cell\": \"↑16.5 ± 2.7***\", \"bbox\": [411, 58, 459, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 71, 271, 80]}, {\"cell\": \"↓42.6 ± 6.7***\", \"bbox\": [346, 71, 395, 80]}, {\"cell\": \"↑16.3 ± 2.8***\", \"bbox\": [411, 71, 459, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 83, 271, 92]}, {\"cell\": \"↓42.7 ± 6.7***\", \"bbox\": [346, 83, 395, 92]}, {\"cell\": \"↑21.0 ± 2.8***\", \"bbox\": [411, 83, 459, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 95, 299, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 107, 274, 116]}, {\"cell\": \"↓29.7 ± 6.7\", \"bbox\": [346, 107, 385, 116]}, {\"cell\": \"↑14.3 ± 2.8\", \"bbox\": [411, 107, 450, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 119, 288, 128]}, {\"cell\": \"↑28.5 ± 6.8\", \"bbox\": [346, 119, 385, 128]}, {\"cell\": \"↓2.3 ± 2.8\", \"bbox\": [411, 119, 446, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 131, 19, 141]}, {\"cell\": \"Japanese patients with atherogenic dyslipidaemia<sup>a</sup>\", \"bbox\": [48, 130, 212, 141]}, {\"cell\": \"526\", \"bbox\": [242, 131, 256, 141]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 131, 301, 141]}, {\"cell\": \"12\", \"bbox\": [317, 131, 327, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"↑20.3–24.7\", \"bbox\": [411, 131, 448, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 143, 271, 153]}, {\"cell\": \"↓46.3***\", \"bbox\": [346, 143, 376, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 155, 271, 165]}, {\"cell\": \"↓46.7***\", \"bbox\": [346, 155, 376, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 167, 271, 177]}, {\"cell\": \"↓51.8***\", \"bbox\": [346, 167, 376, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 179, 299, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"↑17.2–26.5\", \"bbox\": [411, 179, 448, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 192, 274, 201]}, {\"cell\": \"↓38.3***\", \"bbox\": [346, 192, 376, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 204, 274, 213]}, {\"cell\": \"↓51.5***\", \"bbox\": [346, 204, 376, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 216, 288, 225]}, {\"cell\": \"↓2.7\", \"bbox\": [346, 216, 362, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 228, 55, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 240, 19, 249]}, {\"cell\": \"Japanese patients with TG ≥ 2.3 mmol/L\", \"bbox\": [48, 240, 179, 249]}, {\"cell\": \"423\", \"bbox\": [242, 240, 256, 249]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 240, 301, 249]}, {\"cell\": \"24\", \"bbox\": [317, 240, 327, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 252, 271, 262]}, {\"cell\": \"↓46.8 ± 2.6***\", \"bbox\": [346, 252, 395, 262]}, {\"cell\": \"↑17.6 ± 17.2***\", \"bbox\": [411, 252, 463, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 263, 286, 274]}, {\"cell\": \"↓50.8 ± 2.5***\", \"bbox\": [346, 264, 395, 274]}, {\"cell\": \"↑16.3 ± 14.6***\", \"bbox\": [411, 264, 463, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 276, 288, 286]}, {\"cell\": \"↓0.8 ± 3.0\", \"bbox\": [346, 276, 381, 286]}, {\"cell\": \"↑4.4 ± 12.7\", \"bbox\": [411, 276, 450, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 288, 19, 298]}, {\"cell\": \"Add-on to pitavastatin Japanese patients with TG ≥ 2.3 mmol/L, non-HDL-C ≥ 3.9 mmol/L\", \"bbox\": [48, 288, 207, 307]}, {\"cell\": \"188\", \"bbox\": [242, 288, 256, 298]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 288, 301, 298]}, {\"cell\": \"12\", \"bbox\": [317, 288, 327, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 300, 271, 310]}, {\"cell\": \"↓46.1 ± 3.9***\", \"bbox\": [346, 300, 395, 310]}, {\"cell\": \"↑13.6 ± 15.4**\", \"bbox\": [411, 300, 460, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 313, 271, 322]}, {\"cell\": \"↓53.4 ± 3.8***\", \"bbox\": [346, 313, 395, 322]}, {\"cell\": \"↑19.7 ± 19.4***\", \"bbox\": [411, 313, 463, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 325, 271, 334]}, {\"cell\": \"↓52.0 ± 3.9***\", \"bbox\": [346, 325, 395, 334]}, {\"cell\": \"↑12.7 ± 19.3*\", \"bbox\": [411, 325, 457, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 337, 288, 346]}, {\"cell\": \"↓6.9 ± 4.0\", \"bbox\": [346, 337, 381, 346]}, {\"cell\": \"↑3.4 ± 12.5\", \"bbox\": [411, 337, 450, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 349, 19, 358]}, {\"cell\": \"T2DM and dyslipidemia Japanese patients with TG ≥ 1.7 and < 11.3 mmol/L\", \"bbox\": [48, 349, 229, 367]}, {\"cell\": \"167\", \"bbox\": [242, 349, 256, 358]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 349, 301, 358]}, {\"cell\": \"24\", \"bbox\": [317, 349, 327, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 361, 271, 370]}, {\"cell\": \"↓44.3***\", \"bbox\": [346, 361, 376, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 373, 271, 383]}, {\"cell\": \"↓45.1***\", \"bbox\": [346, 373, 376, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 385, 288, 395]}, {\"cell\": \"↓10.8***\", \"bbox\": [346, 385, 376, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 397, 19, 407]}, {\"cell\": \"Caucasian patients, controlled LDL-C and atherogenic dyslipidaemia<sup>b</sup>\", \"bbox\": [48, 397, 221, 416]}, {\"cell\": \"408\", \"bbox\": [242, 397, 256, 407]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 397, 301, 407]}, {\"cell\": \"12\", \"bbox\": [317, 397, 327, 407]}, {\"cell\": \"↓34.0–54.4***\", \"bbox\": [346, 397, 393, 407]}, {\"cell\": \"↑7.4–12.9***\", \"bbox\": [411, 397, 454, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 409, 303, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 422, 19, 431]}, {\"cell\": \"Caucasian type 2 diabetes patients with controlled LDL-C and atherogenic dyslipidaemia<sup>b</sup>\", \"bbox\": [49, 422, 232, 440]}, {\"cell\": \"161<sup>d</sup>\", \"bbox\": [239, 420, 256, 431]}, {\"cell\": \"Pemafibrate\", \"bbox\": [260, 421, 301, 431]}, {\"cell\": \"12\", \"bbox\": [323, 422, 333, 431]}, {\"cell\": \"↓44.7–67.4***\", \"bbox\": [346, 421, 393, 431]}, {\"cell\": \"NR\", \"bbox\": [411, 421, 422, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 434, 303, 443]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5628452_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}75{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b> Characteristics</b></td><td><b>Nonprogressors (<i>n</i> = 21)</b></td><td><b>Progressors (<i>n</i> = 46)</b></td></tr></thead><tbody><tr><td>Gender, male (%)</td><td>14 (67)</td><td>[EMPTY_CELL]</td></tr><tr><td>Age, years</td><td>40.1 (1.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI, kg/m<sup>2</sup></td><td>22.9 (0.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Systolic blood pressure, mm Hg</td><td>119.9 (2.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Diastolic blood pressure, mm Hg</td><td>79.6 (1.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Smoking, <i>n</i> (%)</td><td>13 (62)</td><td>[EMPTY_CELL]</td></tr><tr><td>TDF-FTC-based therapy, <i>n</i> (%)</td><td>7 (33)</td><td>[EMPTY_CELL]</td></tr><tr><td>CD4<sup>+</sup> T cell count, cells/<i>μ</i>L</td><td>463.2 (46.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total cholesterol, mmol/L</td><td>4.79 (0.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>HDL cholesterol, mmol/L</td><td>1.18 (0.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>LDL cholesterol, mmol/L</td><td>2.66 (0.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Triglycerides, mmol/L</td><td>2.48 (0.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Glucose, mmol/L</td><td>5.40 (0.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Delta IMT, mm</td><td>−0.05 (0.01)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b> Characteristics</b>\", \"bbox\": [2, 9, 58, 19]}, {\"cell\": \"<b>Nonprogressors (<i>n</i> = 21)</b>\", \"bbox\": [125, 4, 184, 25]}, {\"cell\": \"<b>Progressors (<i>n</i> = 46)</b>\", \"bbox\": [194, 4, 237, 25]}, {\"cell\": \"Gender, male (%)\", \"bbox\": [2, 28, 69, 38]}, {\"cell\": \"14 (67)\", \"bbox\": [141, 28, 168, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 28, 230, 38]}, {\"cell\": \"Age, years\", \"bbox\": [2, 41, 40, 51]}, {\"cell\": \"40.1 (1.1)\", \"bbox\": [136, 41, 173, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 41, 234, 51]}, {\"cell\": \"BMI, kg/m<sup>2</sup>\", \"bbox\": [2, 53, 47, 64]}, {\"cell\": \"22.9 (0.2)\", \"bbox\": [136, 54, 173, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 54, 234, 64]}, {\"cell\": \"Systolic blood pressure, mm Hg\", \"bbox\": [2, 67, 118, 77]}, {\"cell\": \"119.9 (2.7)\", \"bbox\": [134, 67, 175, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 67, 236, 77]}, {\"cell\": \"Diastolic blood pressure, mm Hg\", \"bbox\": [2, 80, 123, 90]}, {\"cell\": \"79.6 (1.4)\", \"bbox\": [136, 80, 173, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 80, 234, 90]}, {\"cell\": \"Smoking, <i>n</i> (%)\", \"bbox\": [2, 93, 62, 103]}, {\"cell\": \"13 (62)\", \"bbox\": [140, 93, 168, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 93, 230, 103]}, {\"cell\": \"TDF-FTC-based therapy, <i>n</i> (%)\", \"bbox\": [2, 106, 117, 116]}, {\"cell\": \"7 (33)\", \"bbox\": [143, 106, 166, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 106, 232, 116]}, {\"cell\": \"CD4<sup>+</sup> T cell count, cells/<i>μ</i>L\", \"bbox\": [2, 118, 101, 129]}, {\"cell\": \"463.2 (46.1)\", \"bbox\": [132, 119, 177, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 119, 238, 129]}, {\"cell\": \"Total cholesterol, mmol/L\", \"bbox\": [2, 132, 97, 142]}, {\"cell\": \"4.79 (0.3)\", \"bbox\": [136, 132, 173, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 132, 234, 142]}, {\"cell\": \"HDL cholesterol, mmol/L\", \"bbox\": [2, 145, 97, 155]}, {\"cell\": \"1.18 (0.2)\", \"bbox\": [136, 145, 173, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 145, 234, 155]}, {\"cell\": \"LDL cholesterol, mmol/L\", \"bbox\": [2, 158, 95, 168]}, {\"cell\": \"2.66 (0.3)\", \"bbox\": [136, 158, 173, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 158, 234, 168]}, {\"cell\": \"Triglycerides, mmol/L\", \"bbox\": [2, 171, 83, 181]}, {\"cell\": \"2.48 (0.3)\", \"bbox\": [136, 171, 173, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 171, 234, 181]}, {\"cell\": \"Glucose, mmol/L\", \"bbox\": [2, 184, 67, 194]}, {\"cell\": \"5.40 (0.4)\", \"bbox\": [136, 184, 173, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 184, 234, 194]}, {\"cell\": \"Delta IMT, mm\", \"bbox\": [2, 197, 60, 207]}, {\"cell\": \"−0.05 (0.01)\", \"bbox\": [131, 197, 178, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 197, 238, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3356719_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}76{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Participant</b></td><td rowspan=\\\"2\\\"><b>Gender</b></td><td rowspan=\\\"2\\\"><b>Age</b></td><td rowspan=\\\"2\\\"><b>CAG repeat length</b></td><td rowspan=\\\"2\\\"><b>CAG age product (CAP)</b></td><td rowspan=\\\"2\\\"><b>Caudate volume (%ICV)</b></td><td rowspan=\\\"2\\\"><b>Montreal Cognitive Assessment (MOCA)</b></td><td colspan=\\\"3\\\"><b>UHDRS</b></td></tr><tr><td><b><i>Total Motor Score (TMS)</i></b></td><td><b><i>Diagnostic ConfidenceScore (DCS)</i></b></td><td><b><i>Total Functional Capacity (TFC)</i></b></td></tr></thead><tbody><tr><td><b>1</b></td><td>F</td><td>43</td><td>46</td><td>110</td><td>[EMPTY_CELL]</td><td>22</td><td>14</td><td>4</td><td>13</td></tr><tr><td><b>2</b></td><td>F</td><td>56</td><td>40</td><td>89</td><td>[EMPTY_CELL]</td><td>30</td><td>4</td><td>3</td><td>12</td></tr><tr><td><b>3</b></td><td>F</td><td>46</td><td>44</td><td>104</td><td>[EMPTY_CELL]</td><td>26</td><td>16</td><td>4</td><td>11</td></tr><tr><td><b>4</b></td><td>F</td><td>68</td><td>39</td><td>98</td><td>[EMPTY_CELL]</td><td>27</td><td>11</td><td>4</td><td>12</td></tr><tr><td><b>5</b></td><td>M</td><td>48</td><td>45</td><td>115</td><td>[EMPTY_CELL]</td><td>29</td><td>13</td><td>4</td><td>12</td></tr><tr><td><b>6</b></td><td>F</td><td>59</td><td>42</td><td>112</td><td>[EMPTY_CELL]</td><td>28</td><td>12</td><td>4</td><td>13</td></tr><tr><td><b>7</b></td><td>F</td><td>61</td><td>40</td><td>97</td><td>[EMPTY_CELL]</td><td>27</td><td>5</td><td>1</td><td>13</td></tr><tr><td><b>8</b></td><td>F</td><td>43</td><td>41</td><td>76</td><td>[EMPTY_CELL]</td><td>28</td><td>0</td><td>0</td><td>13</td></tr><tr><td><b>9</b></td><td>M</td><td>48</td><td>44</td><td>108</td><td>[EMPTY_CELL]</td><td>23</td><td>17</td><td>4</td><td>12</td></tr><tr><td><b>10</b></td><td>M</td><td>39</td><td>43</td><td>81</td><td>[EMPTY_CELL]</td><td>29</td><td>8</td><td>3</td><td>13</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Participant</b>\", \"bbox\": [5, 31, 43, 40]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [48, 31, 74, 40]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [79, 31, 94, 40]}, {\"cell\": \"<b>CAG repeat length</b>\", \"bbox\": [99, 22, 140, 40]}, {\"cell\": \"<b>CAG age product (CAP)</b>\", \"bbox\": [155, 13, 187, 40]}, {\"cell\": \"<b>Caudate volume (%ICV)</b>\", \"bbox\": [212, 13, 241, 40]}, {\"cell\": \"<b>Montreal Cognitive Assessment (MOCA)</b>\", \"bbox\": [268, 4, 310, 40]}, {\"cell\": \"<b>UHDRS</b>\", \"bbox\": [325, 5, 352, 14]}, {\"cell\": \"<b><i>Total Motor Score (TMS)</i></b>\", \"bbox\": [325, 22, 365, 40]}, {\"cell\": \"<b><i>Diagnostic ConfidenceScore (DCS)</i></b>\", \"bbox\": [370, 22, 443, 40]}, {\"cell\": \"<b><i>Total Functional Capacity (TFC)</i></b>\", \"bbox\": [448, 22, 502, 40]}, {\"cell\": \"<b>1</b>\", \"bbox\": [5, 48, 11, 57]}, {\"cell\": \"F\", \"bbox\": [48, 48, 54, 56]}, {\"cell\": \"43\", \"bbox\": [79, 48, 90, 56]}, {\"cell\": \"46\", \"bbox\": [99, 48, 110, 56]}, {\"cell\": \"110\", \"bbox\": [155, 48, 170, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 48, 228, 56]}, {\"cell\": \"22\", \"bbox\": [268, 48, 279, 56]}, {\"cell\": \"14\", \"bbox\": [325, 48, 335, 56]}, {\"cell\": \"4\", \"bbox\": [370, 48, 376, 56]}, {\"cell\": \"13\", \"bbox\": [448, 48, 459, 56]}, {\"cell\": \"<b>2</b>\", \"bbox\": [5, 64, 11, 73]}, {\"cell\": \"F\", \"bbox\": [48, 64, 54, 72]}, {\"cell\": \"56\", \"bbox\": [79, 64, 90, 72]}, {\"cell\": \"40\", \"bbox\": [99, 64, 110, 72]}, {\"cell\": \"89\", \"bbox\": [155, 64, 166, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 64, 228, 72]}, {\"cell\": \"30\", \"bbox\": [268, 64, 279, 72]}, {\"cell\": \"4\", \"bbox\": [325, 64, 331, 72]}, {\"cell\": \"3\", \"bbox\": [370, 64, 376, 72]}, {\"cell\": \"12\", \"bbox\": [448, 64, 459, 72]}, {\"cell\": \"<b>3</b>\", \"bbox\": [5, 80, 11, 89]}, {\"cell\": \"F\", \"bbox\": [48, 81, 54, 88]}, {\"cell\": \"46\", \"bbox\": [79, 81, 90, 88]}, {\"cell\": \"44\", \"bbox\": [99, 81, 110, 88]}, {\"cell\": \"104\", \"bbox\": [155, 81, 170, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 81, 228, 88]}, {\"cell\": \"26\", \"bbox\": [268, 81, 279, 88]}, {\"cell\": \"16\", \"bbox\": [325, 81, 335, 88]}, {\"cell\": \"4\", \"bbox\": [370, 81, 376, 88]}, {\"cell\": \"11\", \"bbox\": [448, 81, 459, 88]}, {\"cell\": \"<b>4</b>\", \"bbox\": [5, 96, 11, 106]}, {\"cell\": \"F\", \"bbox\": [48, 97, 54, 104]}, {\"cell\": \"68\", \"bbox\": [79, 97, 90, 104]}, {\"cell\": \"39\", \"bbox\": [99, 97, 110, 104]}, {\"cell\": \"98\", \"bbox\": [155, 97, 166, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 97, 228, 104]}, {\"cell\": \"27\", \"bbox\": [268, 97, 279, 104]}, {\"cell\": \"11\", \"bbox\": [325, 97, 335, 104]}, {\"cell\": \"4\", \"bbox\": [370, 97, 376, 104]}, {\"cell\": \"12\", \"bbox\": [448, 97, 459, 104]}, {\"cell\": \"<b>5</b>\", \"bbox\": [5, 113, 11, 122]}, {\"cell\": \"M\", \"bbox\": [48, 113, 57, 121]}, {\"cell\": \"48\", \"bbox\": [79, 113, 90, 121]}, {\"cell\": \"45\", \"bbox\": [99, 113, 110, 121]}, {\"cell\": \"115\", \"bbox\": [155, 113, 170, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 113, 228, 121]}, {\"cell\": \"29\", \"bbox\": [268, 113, 279, 121]}, {\"cell\": \"13\", \"bbox\": [325, 113, 335, 121]}, {\"cell\": \"4\", \"bbox\": [370, 113, 376, 121]}, {\"cell\": \"12\", \"bbox\": [448, 113, 459, 121]}, {\"cell\": \"<b>6</b>\", \"bbox\": [5, 129, 11, 138]}, {\"cell\": \"F\", \"bbox\": [48, 129, 54, 137]}, {\"cell\": \"59\", \"bbox\": [79, 129, 90, 137]}, {\"cell\": \"42\", \"bbox\": [99, 129, 110, 137]}, {\"cell\": \"112\", \"bbox\": [155, 129, 170, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 129, 228, 137]}, {\"cell\": \"28\", \"bbox\": [268, 129, 279, 137]}, {\"cell\": \"12\", \"bbox\": [325, 129, 335, 137]}, {\"cell\": \"4\", \"bbox\": [370, 129, 376, 137]}, {\"cell\": \"13\", \"bbox\": [448, 129, 459, 137]}, {\"cell\": \"<b>7</b>\", \"bbox\": [5, 145, 11, 154]}, {\"cell\": \"F\", \"bbox\": [48, 145, 54, 153]}, {\"cell\": \"61\", \"bbox\": [79, 145, 90, 153]}, {\"cell\": \"40\", \"bbox\": [99, 145, 110, 153]}, {\"cell\": \"97\", \"bbox\": [155, 145, 166, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 145, 228, 153]}, {\"cell\": \"27\", \"bbox\": [268, 145, 279, 153]}, {\"cell\": \"5\", \"bbox\": [325, 145, 331, 153]}, {\"cell\": \"1\", \"bbox\": [370, 145, 376, 153]}, {\"cell\": \"13\", \"bbox\": [448, 145, 459, 153]}, {\"cell\": \"<b>8</b>\", \"bbox\": [5, 161, 11, 170]}, {\"cell\": \"F\", \"bbox\": [48, 162, 54, 169]}, {\"cell\": \"43\", \"bbox\": [79, 162, 90, 169]}, {\"cell\": \"41\", \"bbox\": [99, 162, 110, 169]}, {\"cell\": \"76\", \"bbox\": [155, 162, 166, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 162, 228, 169]}, {\"cell\": \"28\", \"bbox\": [268, 162, 279, 169]}, {\"cell\": \"0\", \"bbox\": [325, 162, 331, 169]}, {\"cell\": \"0\", \"bbox\": [370, 162, 376, 169]}, {\"cell\": \"13\", \"bbox\": [448, 162, 459, 169]}, {\"cell\": \"<b>9</b>\", \"bbox\": [5, 177, 11, 187]}, {\"cell\": \"M\", \"bbox\": [48, 178, 57, 185]}, {\"cell\": \"48\", \"bbox\": [79, 178, 90, 185]}, {\"cell\": \"44\", \"bbox\": [99, 178, 110, 185]}, {\"cell\": \"108\", \"bbox\": [155, 178, 170, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 178, 228, 185]}, {\"cell\": \"23\", \"bbox\": [268, 178, 279, 185]}, {\"cell\": \"17\", \"bbox\": [325, 178, 335, 185]}, {\"cell\": \"4\", \"bbox\": [370, 178, 376, 185]}, {\"cell\": \"12\", \"bbox\": [448, 178, 459, 185]}, {\"cell\": \"<b>10</b>\", \"bbox\": [5, 194, 15, 203]}, {\"cell\": \"M\", \"bbox\": [48, 194, 57, 202]}, {\"cell\": \"39\", \"bbox\": [79, 194, 90, 202]}, {\"cell\": \"43\", \"bbox\": [99, 194, 110, 202]}, {\"cell\": \"81\", \"bbox\": [155, 194, 166, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 194, 228, 202]}, {\"cell\": \"29\", \"bbox\": [268, 194, 279, 202]}, {\"cell\": \"8\", \"bbox\": [325, 194, 331, 202]}, {\"cell\": \"3\", \"bbox\": [370, 194, 376, 202]}, {\"cell\": \"13\", \"bbox\": [448, 194, 459, 202]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5838530_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}77{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variables</b></td><td colspan=\\\"2\\\"><b>Number (%) or Median (mean ±SD)</b></td><td><b><i>P</i></b></td></tr><tr><td><b>30 W</b></td><td><b>100 W</b></td><td><b>value</b></td></tr></thead><tbody><tr><td>Stone free rate (0 mm)</td><td>[EMPTY_CELL]</td><td>25 (100.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total operation time (min.)</td><td>[EMPTY_CELL]</td><td>29 (44.4 ± 38.8)</td><td>n.s.</td></tr><tr><td>Operation time during lithotripsy (min.)</td><td>[EMPTY_CELL]</td><td>30 (40.7 ± 39.2)</td><td>n.s.</td></tr><tr><td>Total energy using Ho: YAG laser (kJ)</td><td>[EMPTY_CELL]</td><td>7.28 (18.51 ± 31.26)</td><td>0.08</td></tr><tr><td>Stone analysis</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Calcium Oxalate</td><td>[EMPTY_CELL]</td><td>9 (36.0%)</td><td rowspan=\\\"6\\\">n.s.</td></tr><tr><td> Struvite</td><td>[EMPTY_CELL]</td><td>1 (4.0%)</td></tr><tr><td> Uric acid</td><td>[EMPTY_CELL]</td><td>6 (24.0%)</td></tr><tr><td> Calcium Phosphate</td><td>[EMPTY_CELL]</td><td>0 (0.0%)</td></tr><tr><td> Mixed</td><td>[EMPTY_CELL]</td><td>2 (8.0%)</td></tr><tr><td> Unknown</td><td>[EMPTY_CELL]</td><td>7 (28.05)</td></tr><tr><td>Intraoperative complications</td><td>[EMPTY_CELL]</td><td>0 (0.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Postoperative outcomes</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Clavien grading score I</td><td>[EMPTY_CELL]</td><td>2 (8.0%)</td><td>n.s.</td></tr><tr><td> Clavien grading score II or more</td><td>[EMPTY_CELL]</td><td>0 (0.0%)</td><td>n.s.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 34, 13]}, {\"cell\": \"<b>Number (%) or Median (mean ±SD)</b>\", \"bbox\": [199, 4, 323, 13]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [464, 4, 470, 12]}, {\"cell\": \"<b>30 W</b>\", \"bbox\": [199, 17, 219, 26]}, {\"cell\": \"<b>100 W</b>\", \"bbox\": [329, 17, 353, 26]}, {\"cell\": \"<b>value</b>\", \"bbox\": [464, 17, 484, 26]}, {\"cell\": \"Stone free rate (0 mm)\", \"bbox\": [1, 30, 76, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 30, 238, 40]}, {\"cell\": \"25 (100.0%)\", \"bbox\": [329, 30, 368, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total operation time (min.)\", \"bbox\": [1, 44, 88, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 44, 250, 54]}, {\"cell\": \"29 (44.4 ± 38.8)\", \"bbox\": [329, 44, 381, 54]}, {\"cell\": \"n.s.\", \"bbox\": [464, 44, 476, 54]}, {\"cell\": \"Operation time during lithotripsy (min.)\", \"bbox\": [1, 58, 129, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 58, 250, 68]}, {\"cell\": \"30 (40.7 ± 39.2)\", \"bbox\": [329, 58, 381, 68]}, {\"cell\": \"n.s.\", \"bbox\": [464, 58, 476, 68]}, {\"cell\": \"Total energy using Ho: YAG laser (kJ)\", \"bbox\": [1, 72, 120, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 72, 259, 82]}, {\"cell\": \"7.28 (18.51 ± 31.26)\", \"bbox\": [329, 72, 394, 82]}, {\"cell\": \"0.08\", \"bbox\": [464, 72, 479, 82]}, {\"cell\": \"Stone analysis\", \"bbox\": [1, 86, 47, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Calcium Oxalate\", \"bbox\": [8, 100, 62, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 100, 234, 110]}, {\"cell\": \"9 (36.0%)\", \"bbox\": [329, 100, 360, 110]}, {\"cell\": \"n.s.\", \"bbox\": [464, 100, 476, 110]}, {\"cell\": \" Struvite\", \"bbox\": [8, 114, 35, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 114, 230, 124]}, {\"cell\": \"1 (4.0%)\", \"bbox\": [329, 114, 357, 124]}, {\"cell\": \" Uric acid\", \"bbox\": [8, 128, 38, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 128, 226, 138]}, {\"cell\": \"6 (24.0%)\", \"bbox\": [329, 128, 360, 138]}, {\"cell\": \" Calcium Phosphate\", \"bbox\": [8, 142, 72, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 142, 226, 152]}, {\"cell\": \"0 (0.0%)\", \"bbox\": [329, 142, 357, 152]}, {\"cell\": \" Mixed\", \"bbox\": [8, 156, 30, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 156, 226, 166]}, {\"cell\": \"2 (8.0%)\", \"bbox\": [329, 156, 357, 166]}, {\"cell\": \" Unknown\", \"bbox\": [8, 170, 41, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 170, 230, 180]}, {\"cell\": \"7 (28.05)\", \"bbox\": [329, 170, 358, 180]}, {\"cell\": \"Intraoperative complications\", \"bbox\": [0, 184, 93, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 184, 226, 194]}, {\"cell\": \"0 (0.0%)\", \"bbox\": [329, 184, 357, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Postoperative outcomes\", \"bbox\": [0, 198, 80, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Clavien grading score I\", \"bbox\": [8, 212, 84, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 212, 226, 222]}, {\"cell\": \"2 (8.0%)\", \"bbox\": [329, 212, 357, 222]}, {\"cell\": \"n.s.\", \"bbox\": [464, 212, 476, 222]}, {\"cell\": \" Clavien grading score II or more\", \"bbox\": [8, 226, 114, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 226, 226, 236]}, {\"cell\": \"0 (0.0%)\", \"bbox\": [329, 226, 357, 236]}, {\"cell\": \"n.s.\", \"bbox\": [464, 226, 476, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3599216_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}78{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Groups*</b></td><td colspan=\\\"3\\\"><b>Exposure time</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>2 h</b></td><td><b>60 s</b></td><td><b>60 s +24-h recovery</b></td></tr></thead><tbody><tr><td>0.06 % CHX</td><td>0.1947 (0.1863-0.2103) A,a**</td><td>[EMPTY_CELL]</td><td>0.1200 (0.1166-0.1300) A,c</td></tr><tr><td>0.12% CHX</td><td>0.1679 (0.1601- 0.1736) B,a</td><td>[EMPTY_CELL]</td><td>0.1239 (0.1140-0.1294) A,c</td></tr><tr><td>0.2% CHX</td><td>0.1535 (0.1472-0.1544) C,a</td><td>[EMPTY_CELL]</td><td>0.1174 (0.1121-0.1275) AB,c</td></tr><tr><td>1% CHX</td><td>0.1408 (0.1373-0.1442) D,a</td><td>[EMPTY_CELL]</td><td>0.1184 (0.1094-0.1247) AC,c</td></tr><tr><td>2% CHX</td><td>0.1264 (0.1226-0.1381) E,a</td><td>[EMPTY_CELL]</td><td>0.1131 (0.1062-0.1177) BC,c</td></tr><tr><td>α-MEM</td><td>0.5661 (0.5438-0.5961) F,a</td><td>[EMPTY_CELL]</td><td>0.4902 (0.4732-0.5357) D,c</td></tr><tr><td>H<sub>2</sub>O<sub>2</sub></td><td>0.0700 (0.0666-0.0725) G,a</td><td>[EMPTY_CELL]</td><td>0.1291 (0.1176-0.1363) A,b</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Groups*</b>\", \"bbox\": [7, 10, 44, 21]}, {\"cell\": \"<b>Exposure time</b>\", \"bbox\": [241, 10, 305, 21]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>2 h</b>\", \"bbox\": [125, 23, 140, 34]}, {\"cell\": \"<b>60 s</b>\", \"bbox\": [269, 23, 288, 34]}, {\"cell\": \"<b>60 s +24-h recovery</b>\", \"bbox\": [370, 23, 456, 34]}, {\"cell\": \"0.06 % CHX\", \"bbox\": [7, 49, 58, 60]}, {\"cell\": \"0.1947 (0.1863-0.2103) A,a**\", \"bbox\": [78, 49, 197, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 49, 337, 60]}, {\"cell\": \"0.1200 (0.1166-0.1300) A,c\", \"bbox\": [361, 49, 472, 60]}, {\"cell\": \"0.12% CHX\", \"bbox\": [7, 62, 56, 73]}, {\"cell\": \"0.1679 (0.1601- 0.1736) B,a\", \"bbox\": [78, 62, 193, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 62, 331, 73]}, {\"cell\": \"0.1239 (0.1140-0.1294) A,c\", \"bbox\": [361, 62, 472, 73]}, {\"cell\": \"0.2% CHX\", \"bbox\": [7, 75, 51, 86]}, {\"cell\": \"0.1535 (0.1472-0.1544) C,a\", \"bbox\": [78, 75, 191, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 75, 344, 86]}, {\"cell\": \"0.1174 (0.1121-0.1275) AB,c\", \"bbox\": [361, 75, 477, 86]}, {\"cell\": \"1% CHX\", \"bbox\": [7, 88, 43, 99]}, {\"cell\": \"0.1408 (0.1373-0.1442) D,a\", \"bbox\": [78, 88, 191, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 88, 332, 99]}, {\"cell\": \"0.1184 (0.1094-0.1247) AC,c\", \"bbox\": [361, 88, 478, 99]}, {\"cell\": \"2% CHX\", \"bbox\": [7, 101, 43, 112]}, {\"cell\": \"0.1264 (0.1226-0.1381) E,a\", \"bbox\": [78, 101, 190, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 101, 329, 112]}, {\"cell\": \"0.1131 (0.1062-0.1177) BC,c\", \"bbox\": [360, 101, 478, 112]}, {\"cell\": \"α-MEM\", \"bbox\": [7, 114, 38, 125]}, {\"cell\": \"0.5661 (0.5438-0.5961) F,a\", \"bbox\": [77, 114, 189, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 114, 332, 125]}, {\"cell\": \"0.4902 (0.4732-0.5357) D,c\", \"bbox\": [361, 114, 473, 125]}, {\"cell\": \"H<sub>2</sub>O<sub>2</sub>\", \"bbox\": [7, 127, 28, 140]}, {\"cell\": \"0.0700 (0.0666-0.0725) G,a\", \"bbox\": [77, 127, 190, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 127, 331, 138]}, {\"cell\": \"0.1291 (0.1176-0.1363) A,b\", \"bbox\": [361, 127, 472, 138]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5349028_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}79{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Assemblers</b></td><td colspan=\\\"4\\\"><b>Repeat</b></td><td colspan=\\\"5\\\"><b>Contigs (kb)</b></td><td rowspan=\\\"2\\\"><b><i>E</i>-size</b></td><td rowspan=\\\"2\\\"><b>Assembly size (kb)</b></td><td rowspan=\\\"2\\\"><b>Genome coverage (%)</b></td></tr><tr><td><b>TRC</b></td><td><b>NNC</b></td><td><b>Rep-size</b></td><td><b>Rep-acc</b></td><td><b>Num.C</b></td><td><b>N90</b></td><td><b>Mean</b></td><td><b>N50</b></td><td><b>Max</b></td></tr></thead><tbody><tr><td>SWA</td><td>30</td><td>1834</td><td>20.7 kb</td><td>[EMPTY_CELL]</td><td>1864</td><td>0.8</td><td>1.6</td><td>2.5</td><td>14.4</td><td>3115</td><td>2939</td><td>100.1</td></tr><tr><td>ABySS</td><td>7</td><td>293</td><td>6.8 kb</td><td>[EMPTY_CELL]</td><td>302</td><td>7.0</td><td>12</td><td>24.8</td><td>125</td><td>31403</td><td>3647</td><td>125.6</td></tr><tr><td>Allpaths-LG</td><td>3</td><td>57</td><td>2.6 kb</td><td>[EMPTY_CELL]</td><td>60</td><td>31</td><td>47</td><td>66.2</td><td>234</td><td>90078</td><td>2869</td><td>98.8</td></tr><tr><td>Bambus2</td><td>6</td><td>103</td><td>7.5 kb</td><td>[EMPTY_CELL]</td><td>109</td><td>11</td><td>15</td><td>16.7</td><td>158</td><td>19610</td><td>2833</td><td>97.6</td></tr><tr><td>MSR-CA</td><td>7</td><td>87</td><td>4.4 kb</td><td>[EMPTY_CELL]</td><td>94</td><td>21</td><td>30</td><td>48.2</td><td>139</td><td>50381</td><td>2862</td><td>98.5</td></tr><tr><td>SGA</td><td>18</td><td>1232</td><td>19.4 kb</td><td>[EMPTY_CELL]</td><td>1252</td><td>1.0</td><td>2.2</td><td>4.0</td><td>16.8</td><td>4712</td><td>2833</td><td>97.6</td></tr><tr><td>SOAPdenovo</td><td>9</td><td>98</td><td>7.5 kb</td><td>[EMPTY_CELL]</td><td>107</td><td>35.5</td><td>27</td><td>62.7</td><td>518.7</td><td>68002</td><td>2909</td><td>100.2</td></tr><tr><td>Velvet</td><td>15</td><td>147</td><td>13.8 kb</td><td>[EMPTY_CELL]</td><td>165</td><td>11.4</td><td>17.6</td><td>41.5</td><td>169</td><td>48511</td><td>2847</td><td>98</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Assemblers</b>\", \"bbox\": [2, 9, 45, 20]}, {\"cell\": \"<b>Repeat</b>\", \"bbox\": [113, 4, 139, 15]}, {\"cell\": \"<b>Contigs (kb)</b>\", \"bbox\": [250, 4, 298, 15]}, {\"cell\": \"<b><i>E</i>-size</b>\", \"bbox\": [356, 6, 380, 22]}, {\"cell\": \"<b>Assembly size (kb)</b>\", \"bbox\": [390, 5, 427, 26]}, {\"cell\": \"<b>Genome coverage (%)</b>\", \"bbox\": [442, 5, 490, 26]}, {\"cell\": \"<b>TRC</b>\", \"bbox\": [58, 17, 77, 28]}, {\"cell\": \"<b>NNC</b>\", \"bbox\": [87, 17, 109, 28]}, {\"cell\": \"<b>Rep-size</b>\", \"bbox\": [118, 17, 151, 28]}, {\"cell\": \"<b>Rep-acc</b>\", \"bbox\": [161, 17, 192, 28]}, {\"cell\": \"<b>Num.C</b>\", \"bbox\": [202, 17, 230, 28]}, {\"cell\": \"<b>N90</b>\", \"bbox\": [240, 17, 258, 28]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [267, 17, 290, 28]}, {\"cell\": \"<b>N50</b>\", \"bbox\": [300, 17, 317, 28]}, {\"cell\": \"<b>Max</b>\", \"bbox\": [328, 17, 346, 28]}, {\"cell\": \"SWA\", \"bbox\": [2, 30, 23, 41]}, {\"cell\": \"30\", \"bbox\": [63, 30, 73, 41]}, {\"cell\": \"1834\", \"bbox\": [89, 30, 107, 41]}, {\"cell\": \"20.7 kb\", \"bbox\": [121, 30, 148, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 30, 185, 41]}, {\"cell\": \"1864\", \"bbox\": [207, 30, 225, 41]}, {\"cell\": \"0.8\", \"bbox\": [242, 30, 255, 41]}, {\"cell\": \"1.6\", \"bbox\": [273, 30, 284, 41]}, {\"cell\": \"2.5\", \"bbox\": [302, 30, 314, 41]}, {\"cell\": \"14.4\", \"bbox\": [329, 30, 345, 41]}, {\"cell\": \"3115\", \"bbox\": [360, 30, 376, 41]}, {\"cell\": \"2939\", \"bbox\": [402, 31, 420, 42]}, {\"cell\": \"100.1\", \"bbox\": [461, 31, 480, 42]}, {\"cell\": \"ABySS\", \"bbox\": [2, 43, 29, 54]}, {\"cell\": \"7\", \"bbox\": [65, 43, 71, 54]}, {\"cell\": \"293\", \"bbox\": [91, 43, 105, 54]}, {\"cell\": \"6.8 kb\", \"bbox\": [123, 43, 146, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 43, 185, 54]}, {\"cell\": \"302\", \"bbox\": [209, 43, 223, 54]}, {\"cell\": \"7.0\", \"bbox\": [243, 43, 254, 54]}, {\"cell\": \"12\", \"bbox\": [274, 43, 283, 54]}, {\"cell\": \"24.8\", \"bbox\": [300, 43, 317, 54]}, {\"cell\": \"125\", \"bbox\": [330, 43, 343, 54]}, {\"cell\": \"31403\", \"bbox\": [357, 43, 379, 54]}, {\"cell\": \"3647\", \"bbox\": [401, 44, 421, 55]}, {\"cell\": \"125.6\", \"bbox\": [460, 44, 480, 55]}, {\"cell\": \"Allpaths-LG\", \"bbox\": [2, 57, 49, 67]}, {\"cell\": \"3\", \"bbox\": [65, 57, 71, 67]}, {\"cell\": \"57\", \"bbox\": [93, 57, 103, 67]}, {\"cell\": \"2.6 kb\", \"bbox\": [123, 57, 146, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 57, 186, 67]}, {\"cell\": \"60\", \"bbox\": [210, 57, 221, 67]}, {\"cell\": \"31\", \"bbox\": [244, 57, 253, 67]}, {\"cell\": \"47\", \"bbox\": [273, 57, 284, 67]}, {\"cell\": \"66.2\", \"bbox\": [300, 57, 317, 67]}, {\"cell\": \"234\", \"bbox\": [329, 57, 344, 67]}, {\"cell\": \"90078\", \"bbox\": [356, 57, 380, 67]}, {\"cell\": \"2869\", \"bbox\": [401, 58, 421, 68]}, {\"cell\": \"98.8\", \"bbox\": [462, 58, 479, 68]}, {\"cell\": \"Bambus2\", \"bbox\": [2, 70, 38, 81]}, {\"cell\": \"6\", \"bbox\": [65, 70, 71, 81]}, {\"cell\": \"103\", \"bbox\": [91, 70, 105, 81]}, {\"cell\": \"7.5 kb\", \"bbox\": [124, 70, 145, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 70, 185, 81]}, {\"cell\": \"109\", \"bbox\": [209, 70, 223, 81]}, {\"cell\": \"11\", \"bbox\": [245, 70, 253, 81]}, {\"cell\": \"15\", \"bbox\": [274, 70, 283, 81]}, {\"cell\": \"16.7\", \"bbox\": [301, 70, 316, 81]}, {\"cell\": \"158\", \"bbox\": [330, 70, 343, 81]}, {\"cell\": \"19610\", \"bbox\": [358, 70, 379, 81]}, {\"cell\": \"2833\", \"bbox\": [402, 71, 420, 81]}, {\"cell\": \"97.6\", \"bbox\": [462, 71, 478, 81]}, {\"cell\": \"MSR-CA\", \"bbox\": [2, 83, 37, 94]}, {\"cell\": \"7\", \"bbox\": [65, 83, 71, 94]}, {\"cell\": \"87\", \"bbox\": [93, 83, 103, 94]}, {\"cell\": \"4.4 kb\", \"bbox\": [123, 83, 146, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 83, 184, 94]}, {\"cell\": \"94\", \"bbox\": [210, 83, 221, 94]}, {\"cell\": \"21\", \"bbox\": [244, 83, 253, 94]}, {\"cell\": \"30\", \"bbox\": [273, 83, 284, 94]}, {\"cell\": \"48.2\", \"bbox\": [300, 83, 317, 94]}, {\"cell\": \"139\", \"bbox\": [330, 83, 343, 94]}, {\"cell\": \"50381\", \"bbox\": [357, 83, 379, 94]}, {\"cell\": \"2862\", \"bbox\": [402, 84, 421, 95]}, {\"cell\": \"98.5\", \"bbox\": [462, 84, 479, 95]}, {\"cell\": \"SGA\", \"bbox\": [2, 96, 21, 107]}, {\"cell\": \"18\", \"bbox\": [63, 96, 73, 107]}, {\"cell\": \"1232\", \"bbox\": [89, 96, 107, 107]}, {\"cell\": \"19.4 kb\", \"bbox\": [122, 96, 148, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 96, 188, 107]}, {\"cell\": \"1252\", \"bbox\": [207, 96, 225, 107]}, {\"cell\": \"1.0\", \"bbox\": [243, 96, 254, 107]}, {\"cell\": \"2.2\", \"bbox\": [272, 96, 285, 107]}, {\"cell\": \"4.0\", \"bbox\": [302, 96, 315, 107]}, {\"cell\": \"16.8\", \"bbox\": [329, 96, 344, 107]}, {\"cell\": \"4712\", \"bbox\": [359, 96, 377, 107]}, {\"cell\": \"2833\", \"bbox\": [402, 97, 420, 108]}, {\"cell\": \"97.6\", \"bbox\": [462, 97, 478, 108]}, {\"cell\": \"SOAPdenovo\", \"bbox\": [2, 110, 53, 120]}, {\"cell\": \"9\", \"bbox\": [65, 110, 71, 120]}, {\"cell\": \"98\", \"bbox\": [93, 110, 103, 120]}, {\"cell\": \"7.5 kb\", \"bbox\": [124, 110, 145, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 110, 188, 120]}, {\"cell\": \"107\", \"bbox\": [209, 110, 223, 120]}, {\"cell\": \"35.5\", \"bbox\": [241, 110, 257, 120]}, {\"cell\": \"27\", \"bbox\": [273, 110, 284, 120]}, {\"cell\": \"62.7\", \"bbox\": [300, 110, 317, 120]}, {\"cell\": \"518.7\", \"bbox\": [327, 110, 346, 120]}, {\"cell\": \"68002\", \"bbox\": [356, 110, 380, 120]}, {\"cell\": \"2909\", \"bbox\": [401, 111, 421, 121]}, {\"cell\": \"100.2\", \"bbox\": [460, 111, 480, 121]}, {\"cell\": \"Velvet\", \"bbox\": [2, 123, 27, 134]}, {\"cell\": \"15\", \"bbox\": [63, 123, 73, 134]}, {\"cell\": \"147\", \"bbox\": [91, 123, 105, 134]}, {\"cell\": \"13.8 kb\", \"bbox\": [122, 123, 148, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 123, 188, 134]}, {\"cell\": \"165\", \"bbox\": [209, 123, 223, 134]}, {\"cell\": \"11.4\", \"bbox\": [241, 123, 256, 134]}, {\"cell\": \"17.6\", \"bbox\": [271, 123, 286, 134]}, {\"cell\": \"41.5\", \"bbox\": [301, 123, 316, 134]}, {\"cell\": \"169\", \"bbox\": [330, 123, 343, 134]}, {\"cell\": \"48511\", \"bbox\": [358, 123, 379, 134]}, {\"cell\": \"2847\", \"bbox\": [401, 124, 421, 134]}, {\"cell\": \"98\", \"bbox\": [465, 124, 476, 134]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4055594_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}80{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Healthy individuals (<i>n</i> = 40)</b></td><td><b>Normal serum ferritin AD individuals (<i>n</i> = 11)</b></td><td><b>High serum ferritin AD individuals (<i>n</i> = 14)</b></td></tr></thead><tbody><tr><td>Average age and range</td><td>[EMPTY_CELL]</td><td>78, 59–91</td><td>81, 60–96</td></tr><tr><td>Average number of years suffering from Alzheimer's disease and range</td><td>[EMPTY_CELL]</td><td>8, 2–15</td><td>6, 1–10</td></tr><tr><td>Male: female</td><td>[EMPTY_CELL]</td><td>1:10</td><td>2:12</td></tr><tr><td>Serum ferritin levels and range</td><td>[EMPTY_CELL]</td><td>80, 17–187</td><td>265, 154–423</td></tr><tr><td>Smoker: non-smoker</td><td>[EMPTY_CELL]</td><td>0:11</td><td>1:13</td></tr><tr><td>Etiology ischemic/non-ischemic</td><td>[EMPTY_CELL]</td><td>2:9</td><td>0:14</td></tr><tr><td>Hypertensive: Normotensive</td><td>[EMPTY_CELL]</td><td>4:7</td><td>5:9</td></tr><tr><td>ACE-inhibitors: yes/no</td><td>[EMPTY_CELL]</td><td>4:7</td><td>3:11</td></tr><tr><td>Beta-blockers: yes/no</td><td>[EMPTY_CELL]</td><td>1:10</td><td>1:13</td></tr><tr><td>Hypothyroid: yes/no</td><td>[EMPTY_CELL]</td><td>4:7</td><td>2:12</td></tr><tr><td>Hypercholesterolemia: yes/no</td><td>[EMPTY_CELL]</td><td>1:10</td><td>2:12</td></tr><tr><td>Anti-coagulant: yes/no yes/no</td><td>[EMPTY_CELL]</td><td>1:10</td><td>1:13</td></tr><tr><td>Asthma: yes/no</td><td>[EMPTY_CELL]</td><td>0:11</td><td>1:13</td></tr><tr><td>Epilepsy: yes/no</td><td>[EMPTY_CELL]</td><td>1:10</td><td>0:14</td></tr><tr><td>Osteoporosis: yes/no</td><td>[EMPTY_CELL]</td><td>1:10</td><td>1:13</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Healthy individuals (<i>n</i> = 40)</b>\", \"bbox\": [171, 9, 271, 18]}, {\"cell\": \"<b>Normal serum ferritin AD individuals (<i>n</i> = 11)</b>\", \"bbox\": [312, 9, 395, 28]}, {\"cell\": \"<b>High serum ferritin AD individuals (<i>n</i> = 14)</b>\", \"bbox\": [426, 9, 507, 28]}, {\"cell\": \"Average age and range\", \"bbox\": [0, 38, 79, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 38, 205, 47]}, {\"cell\": \"78, 59–91\", \"bbox\": [312, 38, 347, 47]}, {\"cell\": \"81, 60–96\", \"bbox\": [426, 38, 461, 47]}, {\"cell\": \"Average number of years suffering from Alzheimer's disease and range\", \"bbox\": [0, 50, 135, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 50, 177, 59]}, {\"cell\": \"8, 2–15\", \"bbox\": [312, 50, 339, 59]}, {\"cell\": \"6, 1–10\", \"bbox\": [426, 50, 451, 59]}, {\"cell\": \"Male: female\", \"bbox\": [0, 72, 46, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 72, 191, 81]}, {\"cell\": \"1:10\", \"bbox\": [312, 72, 328, 81]}, {\"cell\": \"2:12\", \"bbox\": [426, 72, 442, 81]}, {\"cell\": \"Serum ferritin levels and range\", \"bbox\": [0, 83, 104, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 82, 277, 103]}, {\"cell\": \"80, 17–187\", \"bbox\": [312, 83, 350, 92]}, {\"cell\": \"265, 154–423\", \"bbox\": [426, 83, 473, 92]}, {\"cell\": \"Smoker: non-smoker\", \"bbox\": [0, 105, 72, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 105, 187, 114]}, {\"cell\": \"0:11\", \"bbox\": [312, 105, 328, 114]}, {\"cell\": \"1:13\", \"bbox\": [426, 105, 442, 114]}, {\"cell\": \"Etiology ischemic/non-ischemic\", \"bbox\": [0, 117, 106, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 117, 187, 126]}, {\"cell\": \"2:9\", \"bbox\": [312, 117, 325, 126]}, {\"cell\": \"0:14\", \"bbox\": [426, 117, 442, 126]}, {\"cell\": \"Hypertensive: Normotensive\", \"bbox\": [0, 128, 98, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 128, 187, 137]}, {\"cell\": \"4:7\", \"bbox\": [312, 128, 325, 137]}, {\"cell\": \"5:9\", \"bbox\": [426, 128, 438, 137]}, {\"cell\": \"ACE-inhibitors: yes/no\", \"bbox\": [0, 140, 75, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 140, 187, 149]}, {\"cell\": \"4:7\", \"bbox\": [312, 140, 325, 149]}, {\"cell\": \"3:11\", \"bbox\": [426, 140, 441, 149]}, {\"cell\": \"Beta-blockers: yes/no\", \"bbox\": [0, 151, 74, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 151, 187, 160]}, {\"cell\": \"1:10\", \"bbox\": [312, 151, 328, 160]}, {\"cell\": \"1:13\", \"bbox\": [426, 151, 442, 160]}, {\"cell\": \"Hypothyroid: yes/no\", \"bbox\": [0, 163, 69, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 163, 187, 172]}, {\"cell\": \"4:7\", \"bbox\": [312, 163, 325, 172]}, {\"cell\": \"2:12\", \"bbox\": [426, 163, 442, 172]}, {\"cell\": \"Hypercholesterolemia: yes/no\", \"bbox\": [0, 174, 101, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 174, 187, 183]}, {\"cell\": \"1:10\", \"bbox\": [312, 174, 328, 183]}, {\"cell\": \"2:12\", \"bbox\": [426, 174, 442, 183]}, {\"cell\": \"Anti-coagulant: yes/no yes/no\", \"bbox\": [0, 186, 100, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 186, 187, 195]}, {\"cell\": \"1:10\", \"bbox\": [312, 186, 328, 195]}, {\"cell\": \"1:13\", \"bbox\": [426, 186, 442, 195]}, {\"cell\": \"Asthma: yes/no\", \"bbox\": [0, 197, 54, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 197, 187, 206]}, {\"cell\": \"0:11\", \"bbox\": [312, 197, 328, 206]}, {\"cell\": \"1:13\", \"bbox\": [426, 197, 442, 206]}, {\"cell\": \"Epilepsy: yes/no\", \"bbox\": [0, 209, 57, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 209, 187, 218]}, {\"cell\": \"1:10\", \"bbox\": [312, 209, 328, 218]}, {\"cell\": \"0:14\", \"bbox\": [426, 209, 442, 218]}, {\"cell\": \"Osteoporosis: yes/no\", \"bbox\": [0, 221, 73, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 221, 187, 229]}, {\"cell\": \"1:10\", \"bbox\": [312, 221, 328, 229]}, {\"cell\": \"1:13\", \"bbox\": [426, 221, 442, 229]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3853801_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}81{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Baseline</b></td><td><b>After intervention</b></td><td><b>P-value</b></td></tr></thead><tbody><tr><td>• <b><i>Daily habits variables</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Energy (kJ and kcal/day)</td><td>[EMPTY_CELL]</td><td>6,455 ± 2,294 (1,542 ± 548)</td><td><0.001</td></tr><tr><td>Carbohydrate (% E)</td><td>[EMPTY_CELL]</td><td>49.6 ± 6.7</td><td>0.036</td></tr><tr><td>Added sugar (g)</td><td>[EMPTY_CELL]</td><td>28.5 ± 20.8</td><td><0.001</td></tr><tr><td>Protein (% E)</td><td>[EMPTY_CELL]</td><td>19.9 ± 4.1</td><td><0.001</td></tr><tr><td>Total fat (% E)</td><td>[EMPTY_CELL]</td><td>31.3 ± 5.6</td><td>0.847</td></tr><tr><td>Saturated fatty acids (% E)</td><td>[EMPTY_CELL]</td><td>9.6 ± 2.7</td><td>0.658</td></tr><tr><td>Monounsaturated fatty acids (% E)</td><td>[EMPTY_CELL]</td><td>10.8 ± 2.7</td><td>0.951</td></tr><tr><td>Polyunsaturated fatty acids (% E)</td><td>[EMPTY_CELL]</td><td>8.1 ± 2.0</td><td>0.724</td></tr><tr><td><i>Trans</i> fatty acids (g)</td><td>[EMPTY_CELL]</td><td>2.6 ± 2.2</td><td><0.001</td></tr><tr><td>Soluble fibers/1,000 kcal (g)*</td><td>[EMPTY_CELL]</td><td>2.2 ± 1.6</td><td>0.099</td></tr><tr><td>Unsoluble fibers/1,000 kcal (g)*</td><td>[EMPTY_CELL]</td><td>6.9 ± 3.7</td><td>0.222</td></tr><tr><td>Leisure physical activity (min/week)*</td><td>[EMPTY_CELL]</td><td>46.4 ± 82.0</td><td>0.466</td></tr><tr><td>• <b><i>Clinical variables</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Body weight (kg)</td><td>[EMPTY_CELL]</td><td>77.0 ± 14.9</td><td><0.001</td></tr><tr><td>Waist circumference (cm)</td><td>[EMPTY_CELL]</td><td>98.7 ± 12.3</td><td><0.001</td></tr><tr><td>Mean blood pressure (mmHg)</td><td>[EMPTY_CELL]</td><td>95.0 ± 10.1</td><td><0.001</td></tr><tr><td>Fasting plasma glucose (mg/dL)</td><td>[EMPTY_CELL]</td><td>95.9 ± 12.1</td><td>0.029</td></tr><tr><td>2-h plasma glucose (mg/dL)</td><td>[EMPTY_CELL]</td><td>113.2 ± 30.5</td><td>0.111</td></tr><tr><td>Triglycerides (mg/dL)</td><td>[EMPTY_CELL]</td><td>149.3 ± 81.3</td><td>0.191</td></tr><tr><td>LDL-cholesterol (mg/dL)</td><td>[EMPTY_CELL]</td><td>121.3 ± 40.0</td><td>0.023</td></tr><tr><td>HDL-cholesterol (mg/dL)</td><td>[EMPTY_CELL]</td><td>49.5 ± 14.6</td><td><0.001</td></tr><tr><td>HOMA-IR*</td><td>[EMPTY_CELL]</td><td>1.66 ± 0.91</td><td><0.001</td></tr><tr><td>C-reactive protein (mg/dL)*</td><td>[EMPTY_CELL]</td><td>0.04 ± 0.05</td><td><0.001</td></tr><tr><td>Tumor necrosis factor-α (pg/dL)*</td><td>[EMPTY_CELL]</td><td>10.4 ± 6.8</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Baseline</b>\", \"bbox\": [202, 4, 232, 12]}, {\"cell\": \"<b>After intervention</b>\", \"bbox\": [326, 4, 391, 12]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [457, 4, 484, 12]}, {\"cell\": \"• <b><i>Daily habits variables</i></b>\", \"bbox\": [1, 17, 79, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Energy (kJ and kcal/day)\", \"bbox\": [1, 31, 80, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 31, 260, 41]}, {\"cell\": \"6,455 ± 2,294 (1,542 ± 548)\", \"bbox\": [316, 31, 401, 41]}, {\"cell\": \"<0.001\", \"bbox\": [459, 31, 482, 41]}, {\"cell\": \"Carbohydrate (% E)\", \"bbox\": [1, 45, 64, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 45, 233, 55]}, {\"cell\": \"49.6 ± 6.7\", \"bbox\": [343, 45, 374, 55]}, {\"cell\": \"0.036\", \"bbox\": [461, 45, 480, 55]}, {\"cell\": \"Added sugar (g)\", \"bbox\": [1, 59, 54, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 59, 235, 69]}, {\"cell\": \"28.5 ± 20.8\", \"bbox\": [341, 59, 376, 69]}, {\"cell\": \"<0.001\", \"bbox\": [459, 59, 482, 69]}, {\"cell\": \"Protein (% E)\", \"bbox\": [1, 73, 44, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 73, 233, 83]}, {\"cell\": \"19.9 ± 4.1\", \"bbox\": [343, 73, 374, 83]}, {\"cell\": \"<0.001\", \"bbox\": [459, 73, 482, 83]}, {\"cell\": \"Total fat (% E)\", \"bbox\": [1, 87, 47, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 87, 233, 97]}, {\"cell\": \"31.3 ± 5.6\", \"bbox\": [343, 87, 374, 97]}, {\"cell\": \"0.847\", \"bbox\": [461, 87, 480, 97]}, {\"cell\": \"Saturated fatty acids (% E)\", \"bbox\": [1, 101, 86, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 101, 231, 111]}, {\"cell\": \"9.6 ± 2.7\", \"bbox\": [345, 101, 372, 111]}, {\"cell\": \"0.658\", \"bbox\": [461, 101, 480, 111]}, {\"cell\": \"Monounsaturated fatty acids (% E)\", \"bbox\": [1, 115, 112, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 115, 233, 125]}, {\"cell\": \"10.8 ± 2.7\", \"bbox\": [343, 115, 374, 125]}, {\"cell\": \"0.951\", \"bbox\": [461, 115, 480, 125]}, {\"cell\": \"Polyunsaturated fatty acids (% E)\", \"bbox\": [1, 129, 107, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 129, 231, 139]}, {\"cell\": \"8.1 ± 2.0\", \"bbox\": [345, 129, 372, 139]}, {\"cell\": \"0.724\", \"bbox\": [461, 129, 480, 139]}, {\"cell\": \"<i>Trans</i> fatty acids (g)\", \"bbox\": [1, 143, 65, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 143, 231, 153]}, {\"cell\": \"2.6 ± 2.2\", \"bbox\": [345, 143, 372, 153]}, {\"cell\": \"<0.001\", \"bbox\": [459, 143, 482, 153]}, {\"cell\": \"Soluble fibers/1,000 kcal (g)*\", \"bbox\": [1, 157, 93, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 157, 231, 167]}, {\"cell\": \"2.2 ± 1.6\", \"bbox\": [345, 157, 372, 167]}, {\"cell\": \"0.099\", \"bbox\": [461, 157, 480, 167]}, {\"cell\": \"Unsoluble fibers/1,000 kcal (g)*\", \"bbox\": [1, 171, 102, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 171, 231, 181]}, {\"cell\": \"6.9 ± 3.7\", \"bbox\": [345, 171, 372, 181]}, {\"cell\": \"0.222\", \"bbox\": [461, 171, 480, 181]}, {\"cell\": \"Leisure physical activity (min/week)*\", \"bbox\": [1, 185, 119, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 185, 235, 195]}, {\"cell\": \"46.4 ± 82.0\", \"bbox\": [341, 185, 376, 195]}, {\"cell\": \"0.466\", \"bbox\": [461, 185, 480, 195]}, {\"cell\": \"• <b><i>Clinical variables</i></b>\", \"bbox\": [1, 199, 63, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Body weight (kg)\", \"bbox\": [1, 213, 57, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 213, 235, 223]}, {\"cell\": \"77.0 ± 14.9\", \"bbox\": [341, 213, 376, 223]}, {\"cell\": \"<0.001\", \"bbox\": [459, 213, 482, 223]}, {\"cell\": \"Waist circumference (cm)\", \"bbox\": [1, 227, 84, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 227, 237, 237]}, {\"cell\": \"98.7 ± 12.3\", \"bbox\": [341, 227, 376, 237]}, {\"cell\": \"<0.001\", \"bbox\": [459, 227, 482, 237]}, {\"cell\": \"Mean blood pressure (mmHg)\", \"bbox\": [1, 241, 99, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 241, 237, 251]}, {\"cell\": \"95.0 ± 10.1\", \"bbox\": [341, 241, 376, 251]}, {\"cell\": \"<0.001\", \"bbox\": [459, 241, 482, 251]}, {\"cell\": \"Fasting plasma glucose (mg/dL)\", \"bbox\": [1, 255, 105, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 255, 235, 265]}, {\"cell\": \"95.9 ± 12.1\", \"bbox\": [341, 255, 376, 265]}, {\"cell\": \"0.029\", \"bbox\": [461, 255, 480, 265]}, {\"cell\": \"2-h plasma glucose (mg/dL)\", \"bbox\": [1, 269, 93, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 269, 237, 279]}, {\"cell\": \"113.2 ± 30.5\", \"bbox\": [339, 269, 378, 279]}, {\"cell\": \"0.111\", \"bbox\": [461, 269, 480, 279]}, {\"cell\": \"Triglycerides (mg/dL)\", \"bbox\": [1, 283, 70, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 283, 237, 293]}, {\"cell\": \"149.3 ± 81.3\", \"bbox\": [339, 283, 378, 293]}, {\"cell\": \"0.191\", \"bbox\": [461, 283, 480, 293]}, {\"cell\": \"LDL-cholesterol (mg/dL)\", \"bbox\": [1, 297, 80, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 297, 237, 307]}, {\"cell\": \"121.3 ± 40.0\", \"bbox\": [339, 297, 378, 307]}, {\"cell\": \"0.023\", \"bbox\": [461, 297, 480, 307]}, {\"cell\": \"HDL-cholesterol (mg/dL)\", \"bbox\": [1, 311, 81, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 311, 235, 321]}, {\"cell\": \"49.5 ± 14.6\", \"bbox\": [341, 311, 376, 321]}, {\"cell\": \"<0.001\", \"bbox\": [459, 311, 482, 321]}, {\"cell\": \"HOMA-IR*\", \"bbox\": [1, 325, 35, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 325, 235, 335]}, {\"cell\": \"1.66 ± 0.91\", \"bbox\": [341, 325, 376, 335]}, {\"cell\": \"<0.001\", \"bbox\": [459, 325, 482, 335]}, {\"cell\": \"C-reactive protein (mg/dL)*\", \"bbox\": [1, 339, 91, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 339, 235, 349]}, {\"cell\": \"0.04 ± 0.05\", \"bbox\": [341, 339, 376, 349]}, {\"cell\": \"<0.001\", \"bbox\": [459, 339, 482, 349]}, {\"cell\": \"Tumor necrosis factor-α (pg/dL)*\", \"bbox\": [1, 353, 107, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 353, 233, 363]}, {\"cell\": \"10.4 ± 6.8\", \"bbox\": [343, 353, 374, 363]}, {\"cell\": \"<0.001\", \"bbox\": [459, 353, 482, 363]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4424482_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}82{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Name</b></td><td><b>Target</b></td><td><b>Strain</b></td><td><b>Sequence 5'--------------3'</b></td><td><b>GenBank Accession No</b></td><td><b>PCR product (bp)</b></td></tr></thead><tbody><tr><td>OG 43</td><td><i>16S rRNA</i></td><td>[EMPTY_CELL]</td><td>CCAAGTGTGATTAGGTAGTT</td><td>M75036</td><td>226</td></tr><tr><td>OG 44</td><td><i>16S rRNA</i></td><td>[EMPTY_CELL]</td><td>ACCAACCTTCCTCAATAC</td><td>M75036</td><td>[EMPTY_CELL]</td></tr><tr><td>OG53</td><td><i>16S rRNA</i></td><td>[EMPTY_CELL]</td><td>CGTATCCAACCTTCCCTCC</td><td>X73965</td><td>389</td></tr><tr><td>OG54</td><td><i>16S rRNA</i></td><td>[EMPTY_CELL]</td><td>ATTAGCCGGTCCTTATTCGAAG</td><td>X73965</td><td>[EMPTY_CELL]</td></tr><tr><td>OG94</td><td><i>prtC</i></td><td>[EMPTY_CELL]</td><td>GAATCAAATACTTCAGCCGTCT</td><td>AB006973</td><td>143</td></tr><tr><td>OG95</td><td><i>prtC</i></td><td>[EMPTY_CELL]</td><td>TTGCAGTTCGTATCGGATCT</td><td>AB006973</td><td>[EMPTY_CELL]</td></tr><tr><td>OG45</td><td><i>16S rRNA</i></td><td>[EMPTY_CELL]</td><td>GTCGGACTAATACCTCATAAAACA</td><td>L16495</td><td>222</td></tr><tr><td>OG46</td><td><i>16S rRNA</i></td><td>[EMPTY_CELL]</td><td>TCGCCCATTGACCAATATT</td><td>L16495</td><td>[EMPTY_CELL]</td></tr><tr><td>OG348</td><td><i>16S rRNA</i></td><td>[EMPTY_CELL]</td><td>AGAGAAAGGGTAATTTGAAG</td><td>AF179264</td><td>399</td></tr><tr><td>OG349</td><td><i>16S rRNA</i></td><td>[EMPTY_CELL]</td><td>TATTATTGTCCCTTCTTTCTT</td><td>AF179264</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Name</b>\", \"bbox\": [5, 4, 30, 14]}, {\"cell\": \"<b>Target</b>\", \"bbox\": [39, 4, 68, 14]}, {\"cell\": \"<b>Strain</b>\", \"bbox\": [102, 4, 128, 14]}, {\"cell\": \"<b>Sequence 5'--------------3'</b>\", \"bbox\": [205, 4, 298, 14]}, {\"cell\": \"<b>GenBank Accession No</b>\", \"bbox\": [354, 4, 409, 23]}, {\"cell\": \"<b>PCR product (bp)</b>\", \"bbox\": [422, 4, 493, 14]}, {\"cell\": \"OG 43\", \"bbox\": [5, 36, 30, 44]}, {\"cell\": \"<i>16S rRNA</i>\", \"bbox\": [37, 36, 70, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 36, 149, 55]}, {\"cell\": \"CCAAGTGTGATTAGGTAGTT\", \"bbox\": [196, 36, 308, 44]}, {\"cell\": \"M75036\", \"bbox\": [367, 36, 396, 44]}, {\"cell\": \"226\", \"bbox\": [450, 36, 465, 44]}, {\"cell\": \"OG 44\", \"bbox\": [5, 56, 30, 63]}, {\"cell\": \"<i>16S rRNA</i>\", \"bbox\": [37, 56, 70, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 56, 149, 74]}, {\"cell\": \"ACCAACCTTCCTCAATAC\", \"bbox\": [201, 56, 303, 63]}, {\"cell\": \"M75036\", \"bbox\": [367, 56, 396, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OG53\", \"bbox\": [6, 75, 29, 83]}, {\"cell\": \"<i>16S rRNA</i>\", \"bbox\": [37, 75, 70, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 75, 149, 85]}, {\"cell\": \"CGTATCCAACCTTCCCTCC\", \"bbox\": [198, 75, 306, 83]}, {\"cell\": \"X73965\", \"bbox\": [367, 75, 396, 83]}, {\"cell\": \"389\", \"bbox\": [450, 75, 465, 83]}, {\"cell\": \"OG54\", \"bbox\": [6, 85, 29, 93]}, {\"cell\": \"<i>16S rRNA</i>\", \"bbox\": [37, 85, 70, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 85, 149, 95]}, {\"cell\": \"ATTAGCCGGTCCTTATTCGAAG\", \"bbox\": [190, 85, 314, 93]}, {\"cell\": \"X73965\", \"bbox\": [367, 85, 396, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OG94\", \"bbox\": [6, 96, 29, 103]}, {\"cell\": \"<i>prtC</i>\", \"bbox\": [46, 96, 61, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 96, 140, 114]}, {\"cell\": \"GAATCAAATACTTCAGCCGTCT\", \"bbox\": [190, 96, 314, 103]}, {\"cell\": \"AB006973\", \"bbox\": [363, 96, 400, 103]}, {\"cell\": \"143\", \"bbox\": [450, 96, 465, 103]}, {\"cell\": \"OG95\", \"bbox\": [6, 115, 29, 123]}, {\"cell\": \"<i>prtC</i>\", \"bbox\": [46, 115, 61, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [78, 115, 153, 125]}, {\"cell\": \"TTGCAGTTCGTATCGGATCT\", \"bbox\": [196, 115, 308, 123]}, {\"cell\": \"AB006973\", \"bbox\": [363, 115, 400, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OG45\", \"bbox\": [6, 125, 29, 133]}, {\"cell\": \"<i>16S rRNA</i>\", \"bbox\": [37, 125, 70, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 125, 151, 135]}, {\"cell\": \"GTCGGACTAATACCTCATAAAACA\", \"bbox\": [184, 125, 319, 133]}, {\"cell\": \"L16495\", \"bbox\": [368, 125, 395, 133]}, {\"cell\": \"222\", \"bbox\": [450, 125, 465, 133]}, {\"cell\": \"OG46\", \"bbox\": [6, 136, 29, 143]}, {\"cell\": \"<i>16S rRNA</i>\", \"bbox\": [37, 136, 70, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 136, 151, 145]}, {\"cell\": \"TCGCCCATTGACCAATATT\", \"bbox\": [199, 136, 305, 143]}, {\"cell\": \"L16495\", \"bbox\": [368, 136, 395, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OG348\", \"bbox\": [6, 146, 29, 163]}, {\"cell\": \"<i>16S rRNA</i>\", \"bbox\": [37, 146, 70, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 146, 149, 155]}, {\"cell\": \"AGAGAAAGGGTAATTTGAAG\", \"bbox\": [195, 146, 309, 154]}, {\"cell\": \"AF179264\", \"bbox\": [363, 146, 399, 154]}, {\"cell\": \"399\", \"bbox\": [450, 146, 465, 154]}, {\"cell\": \"OG349\", \"bbox\": [6, 165, 29, 182]}, {\"cell\": \"<i>16S rRNA</i>\", \"bbox\": [37, 165, 70, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 165, 149, 175]}, {\"cell\": \"TATTATTGTCCCTTCTTTCTT\", \"bbox\": [195, 165, 308, 173]}, {\"cell\": \"AF179264\", \"bbox\": [363, 165, 399, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1539009_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}83{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable Name</b></td><td><b>Estimate (<i>p</i>-Value)</b></td><td><b>Change in Probability (<i>p</i>-Value)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>−2.5398 (0.024)</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.3338 (0.500)</td><td>−0.0849 (0.490)</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.1593 (0.765)</td><td>−0.0430 (0.772)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.7855 (0.237)</td><td>0.1684 (0.123)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.0122 (0.155)</td><td>0.1972 (0.039)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.0488 (0.054)</td><td>0.3171 (0.082)</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.0927 (0.764)</td><td>−0.0243 (0.766)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3270 (0.656)</td><td>0.0747 (0.603)</td></tr><tr><td>[EMPTY_CELL]</td><td>−1.0099 (0.171)</td><td>−0.2847 (0.189)</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.1735 (0.723)</td><td>−0.0467 (0.728)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.1851 (0.119)</td><td>0.2295 (0.043)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.7794 (0.058)</td><td>0.2548 (0.001)</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.8086 (0.140)</td><td>−0.1735 (0.062)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.2992 (0.008)</td><td>0.4450 (0.010)</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.9085 (0.023)</td><td>−0.2533 (0.027)</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.9670 (0.68)</td><td>−0.3022 (0.098)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.5038 (0.330)</td><td>0.1273 (0.309)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.9243 (0.078)</td><td>0.2470 (0.076)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.7043 (0.140)</td><td>0.2053 (0.162)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3927 (0.347)</td><td>0.0997 (0.341)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.6560 (0.016)</td><td>0.2792 (0.001)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.8768 (0.511)</td><td>0.1526 (0.274)</td></tr><tr><td>[EMPTY_CELL]</td><td>120</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.4014</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>58.15</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>21</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.0000</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable Name</b>\", \"bbox\": [62, 10, 125, 21]}, {\"cell\": \"<b>Estimate (<i>p</i>-Value)</b>\", \"bbox\": [195, 10, 272, 21]}, {\"cell\": \"<b>Change in Probability (<i>p</i>-Value)</b>\", \"bbox\": [291, 5, 384, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 32, 112, 43]}, {\"cell\": \"−2.5398 (0.024)\", \"bbox\": [202, 32, 265, 43]}, {\"cell\": \"-\", \"bbox\": [335, 32, 340, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 43, 104, 54]}, {\"cell\": \"−0.3338 (0.500)\", \"bbox\": [202, 43, 265, 54]}, {\"cell\": \"−0.0849 (0.490)\", \"bbox\": [306, 43, 369, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 54, 106, 65]}, {\"cell\": \"−0.1593 (0.765)\", \"bbox\": [202, 54, 265, 65]}, {\"cell\": \"−0.0430 (0.772)\", \"bbox\": [306, 54, 369, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 65, 106, 76]}, {\"cell\": \"0.7855 (0.237)\", \"bbox\": [206, 65, 261, 76]}, {\"cell\": \"0.1684 (0.123)\", \"bbox\": [310, 65, 365, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [76, 76, 111, 87]}, {\"cell\": \"1.0122 (0.155)\", \"bbox\": [206, 76, 261, 87]}, {\"cell\": \"0.1972 (0.039)\", \"bbox\": [310, 76, 365, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 87, 112, 98]}, {\"cell\": \"1.0488 (0.054)\", \"bbox\": [206, 87, 261, 98]}, {\"cell\": \"0.3171 (0.082)\", \"bbox\": [310, 87, 365, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 98, 106, 109]}, {\"cell\": \"−0.0927 (0.764)\", \"bbox\": [202, 98, 265, 109]}, {\"cell\": \"−0.0243 (0.766)\", \"bbox\": [306, 98, 369, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 109, 106, 120]}, {\"cell\": \"0.3270 (0.656)\", \"bbox\": [206, 109, 261, 120]}, {\"cell\": \"0.0747 (0.603)\", \"bbox\": [310, 109, 365, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 120, 106, 131]}, {\"cell\": \"−1.0099 (0.171)\", \"bbox\": [202, 120, 265, 131]}, {\"cell\": \"−0.2847 (0.189)\", \"bbox\": [306, 120, 369, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 131, 105, 142]}, {\"cell\": \"−0.1735 (0.723)\", \"bbox\": [202, 131, 265, 142]}, {\"cell\": \"−0.0467 (0.728)\", \"bbox\": [306, 131, 369, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 142, 109, 153]}, {\"cell\": \"1.1851 (0.119)\", \"bbox\": [206, 142, 261, 153]}, {\"cell\": \"0.2295 (0.043)\", \"bbox\": [310, 142, 365, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [75, 153, 111, 164]}, {\"cell\": \"1.7794 (0.058)\", \"bbox\": [206, 153, 261, 164]}, {\"cell\": \"0.2548 (0.001)\", \"bbox\": [310, 153, 365, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [73, 164, 114, 175]}, {\"cell\": \"−0.8086 (0.140)\", \"bbox\": [202, 164, 265, 175]}, {\"cell\": \"−0.1735 (0.062)\", \"bbox\": [306, 164, 369, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 175, 118, 186]}, {\"cell\": \"1.2992 (0.008)\", \"bbox\": [206, 175, 261, 186]}, {\"cell\": \"0.4450 (0.010)\", \"bbox\": [310, 175, 365, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 186, 123, 197]}, {\"cell\": \"−0.9085 (0.023)\", \"bbox\": [202, 186, 265, 197]}, {\"cell\": \"−0.2533 (0.027)\", \"bbox\": [306, 186, 369, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 197, 123, 208]}, {\"cell\": \"−0.9670 (0.68)\", \"bbox\": [205, 197, 262, 208]}, {\"cell\": \"−0.3022 (0.098)\", \"bbox\": [306, 197, 369, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 208, 122, 219]}, {\"cell\": \"0.5038 (0.330)\", \"bbox\": [206, 208, 261, 219]}, {\"cell\": \"0.1273 (0.309)\", \"bbox\": [310, 208, 365, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 219, 124, 230]}, {\"cell\": \"0.9243 (0.078)\", \"bbox\": [206, 219, 261, 230]}, {\"cell\": \"0.2470 (0.076)\", \"bbox\": [310, 219, 365, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 230, 118, 241]}, {\"cell\": \"0.7043 (0.140)\", \"bbox\": [206, 230, 261, 241]}, {\"cell\": \"0.2053 (0.162)\", \"bbox\": [310, 230, 365, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [75, 241, 111, 252]}, {\"cell\": \"0.3927 (0.347)\", \"bbox\": [206, 241, 261, 252]}, {\"cell\": \"0.0997 (0.341)\", \"bbox\": [310, 241, 365, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 252, 117, 263]}, {\"cell\": \"1.6560 (0.016)\", \"bbox\": [206, 252, 261, 263]}, {\"cell\": \"0.2792 (0.001)\", \"bbox\": [310, 252, 365, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [75, 263, 111, 274]}, {\"cell\": \"0.8768 (0.511)\", \"bbox\": [206, 263, 261, 274]}, {\"cell\": \"0.1526 (0.274)\", \"bbox\": [310, 263, 365, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [44, 274, 142, 285]}, {\"cell\": \"120\", \"bbox\": [226, 274, 241, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 285, 177, 296]}, {\"cell\": \"0.4014\", \"bbox\": [220, 285, 247, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [44, 296, 142, 307]}, {\"cell\": \"58.15\", \"bbox\": [222, 296, 244, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 307, 133, 318]}, {\"cell\": \"21\", \"bbox\": [228, 307, 239, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [48, 318, 138, 329]}, {\"cell\": \"0.0000\", \"bbox\": [220, 318, 247, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5302353_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}84{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Cytokines and chemokines</b></td><td><b>Spearman’s rho [ρ] coefficient</b></td><td><b>p value (Bonferroni adjusted)</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.9</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.6</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.5</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>< 0.024</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.9</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.6</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.5</td><td>< 0.001</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.6</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.6</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.4</td><td>< 0.001</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.6</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.6</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.4</td><td>< 0 .001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>< 0.015</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>0.018</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>0.004</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>0.110</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>0.018</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>0.004</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>0.110</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.4</td><td>< 0.001</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>0.001</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.5</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3</td><td>< 0.001</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>− 0.3</td><td>< 0.001</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>− 0.3</td><td>0.011</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Cytokines and chemokines</b>\", \"bbox\": [1, 4, 95, 14]}, {\"cell\": \"<b>Spearman’s rho [ρ] coefficient</b>\", \"bbox\": [119, 4, 174, 23]}, {\"cell\": \"<b>p value (Bonferroni adjusted)</b>\", \"bbox\": [184, 4, 225, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 58, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 52, 60, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 64, 55, 74]}, {\"cell\": \"0.9\", \"bbox\": [119, 64, 130, 74]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 64, 208, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 76, 52, 86]}, {\"cell\": \"0.6\", \"bbox\": [119, 76, 130, 86]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 76, 208, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 89, 56, 98]}, {\"cell\": \"0.5\", \"bbox\": [119, 89, 130, 98]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 89, 208, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 101, 51, 110]}, {\"cell\": \"0.3\", \"bbox\": [119, 101, 130, 110]}, {\"cell\": \"< 0.024\", \"bbox\": [184, 101, 208, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 113, 43, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 125, 55, 134]}, {\"cell\": \"0.9\", \"bbox\": [119, 125, 130, 134]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 125, 208, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 137, 52, 146]}, {\"cell\": \"0.6\", \"bbox\": [119, 137, 130, 146]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 137, 208, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 149, 56, 159]}, {\"cell\": \"0.5\", \"bbox\": [119, 149, 130, 159]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 149, 208, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 161, 107, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 173, 60, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 185, 55, 195]}, {\"cell\": \"0.6\", \"bbox\": [119, 185, 130, 195]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 185, 208, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 197, 59, 207]}, {\"cell\": \"0.6\", \"bbox\": [119, 197, 130, 207]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 197, 208, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 210, 56, 219]}, {\"cell\": \"0.4\", \"bbox\": [119, 210, 130, 219]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 210, 208, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 222, 43, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 234, 54, 243]}, {\"cell\": \"0.6\", \"bbox\": [119, 234, 130, 243]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 234, 208, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 246, 59, 255]}, {\"cell\": \"0.6\", \"bbox\": [119, 246, 130, 255]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 246, 208, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 258, 56, 267]}, {\"cell\": \"0.4\", \"bbox\": [119, 258, 130, 267]}, {\"cell\": \"< 0 .001\", \"bbox\": [184, 258, 209, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 270, 55, 280]}, {\"cell\": \"0.3\", \"bbox\": [119, 270, 130, 280]}, {\"cell\": \"< 0.015\", \"bbox\": [184, 270, 208, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 282, 14, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 294, 60, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 306, 55, 316]}, {\"cell\": \"0.3\", \"bbox\": [119, 306, 130, 316]}, {\"cell\": \"0.018\", \"bbox\": [184, 306, 203, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 318, 56, 328]}, {\"cell\": \"0.3\", \"bbox\": [119, 318, 130, 328]}, {\"cell\": \"0.004\", \"bbox\": [184, 318, 203, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 331, 60, 340]}, {\"cell\": \"0.3\", \"bbox\": [119, 331, 130, 340]}, {\"cell\": \"0.110\", \"bbox\": [184, 331, 203, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 343, 43, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 355, 55, 364]}, {\"cell\": \"0.3\", \"bbox\": [119, 355, 130, 364]}, {\"cell\": \"0.018\", \"bbox\": [184, 355, 203, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 367, 56, 376]}, {\"cell\": \"0.3\", \"bbox\": [119, 367, 130, 376]}, {\"cell\": \"0.004\", \"bbox\": [184, 367, 203, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 379, 60, 388]}, {\"cell\": \"0.3\", \"bbox\": [119, 379, 130, 388]}, {\"cell\": \"0.110\", \"bbox\": [184, 379, 203, 388]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 391, 14, 402]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 403, 43, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 415, 51, 425]}, {\"cell\": \"0.4\", \"bbox\": [119, 415, 130, 425]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 415, 208, 425]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 427, 40, 438]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 439, 60, 449]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 452, 56, 461]}, {\"cell\": \"0.3\", \"bbox\": [119, 452, 130, 461]}, {\"cell\": \"0.001\", \"bbox\": [184, 452, 203, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 464, 43, 473]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 476, 56, 485]}, {\"cell\": \"0.5\", \"bbox\": [119, 476, 130, 485]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 476, 208, 485]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 488, 55, 497]}, {\"cell\": \"0.3\", \"bbox\": [119, 488, 130, 497]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 488, 208, 497]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 500, 51, 509]}, {\"cell\": \"0.3\", \"bbox\": [119, 500, 130, 509]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 500, 208, 509]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 512, 68, 523]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 524, 60, 534]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 536, 56, 546]}, {\"cell\": \"− 0.3\", \"bbox\": [119, 536, 137, 546]}, {\"cell\": \"< 0.001\", \"bbox\": [184, 536, 208, 546]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 548, 43, 558]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 561, 55, 570]}, {\"cell\": \"− 0.3\", \"bbox\": [119, 561, 137, 570]}, {\"cell\": \"0.011\", \"bbox\": [184, 561, 203, 570]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5944101_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}85{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>GO Biological Process</b></td><td><b>GO Accession</b></td><td><b>Number of genes</b></td><td><b><i>P</i>value (FDR adjusted)</b></td><td><b>D</b></td></tr></thead><tbody><tr><td>RNA splicing</td><td>GO:0008380</td><td>122</td><td>[EMPTY_CELL]</td><td>0.21</td></tr><tr><td>DNA repair</td><td>GO:0006281</td><td>116</td><td>[EMPTY_CELL]</td><td>0.17</td></tr><tr><td>Protein modification by small protein conjugation</td><td>GO:0032446</td><td>122</td><td>[EMPTY_CELL]</td><td>0.17</td></tr><tr><td>Viral reproduction</td><td>GO:0016032</td><td>140</td><td>[EMPTY_CELL]</td><td>0.15</td></tr><tr><td>mRNA processing</td><td>GO:0006397</td><td>163</td><td>[EMPTY_CELL]</td><td>0.18</td></tr><tr><td>Interphase of mitotic cell cycle</td><td>GO:0051329</td><td>170</td><td>[EMPTY_CELL]</td><td>0.16</td></tr><tr><td>Protein catabolic process</td><td>GO:0030163</td><td>196</td><td>[EMPTY_CELL]</td><td>0.15</td></tr><tr><td>Interphase</td><td>GO:0051325</td><td>172</td><td>[EMPTY_CELL]</td><td>0.15</td></tr><tr><td>RNA splicing, via transesterification reactions</td><td>GO:0000375</td><td>83</td><td>[EMPTY_CELL]</td><td>0.22</td></tr><tr><td>Protein ubiquitination</td><td>GO:0016567</td><td>119</td><td>[EMPTY_CELL]</td><td>0.15</td></tr><tr><td>Translation</td><td>GO:0006412</td><td>101</td><td>[EMPTY_CELL]</td><td>0.16</td></tr><tr><td>rRNA metabolic process</td><td>GO:0016072</td><td>30</td><td>[EMPTY_CELL]</td><td>0.33</td></tr><tr><td>Chromatin modification</td><td>GO:0016568</td><td>97</td><td>[EMPTY_CELL]</td><td>0.15</td></tr><tr><td>M phase</td><td>GO:0000279</td><td>165</td><td>[EMPTY_CELL]</td><td>0.13</td></tr><tr><td>Cellular protein catabolic process</td><td>GO:0044257</td><td>164</td><td>[EMPTY_CELL]</td><td>0.14</td></tr><tr><td>rRNA processing</td><td>GO:0006364</td><td>28</td><td>[EMPTY_CELL]</td><td>0.33</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>GO Biological Process</b>\", \"bbox\": [1, 4, 78, 13]}, {\"cell\": \"<b>GO Accession</b>\", \"bbox\": [191, 4, 240, 13]}, {\"cell\": \"<b>Number of genes</b>\", \"bbox\": [269, 4, 332, 13]}, {\"cell\": \"<b><i>P</i>value (FDR adjusted)</b>\", \"bbox\": [360, 4, 441, 13]}, {\"cell\": \"<b>D</b>\", \"bbox\": [470, 4, 477, 13]}, {\"cell\": \"RNA splicing\", \"bbox\": [0, 17, 43, 27]}, {\"cell\": \"GO:0008380\", \"bbox\": [191, 17, 232, 27]}, {\"cell\": \"122\", \"bbox\": [269, 17, 283, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 17, 389, 27]}, {\"cell\": \"0.21\", \"bbox\": [470, 17, 484, 27]}, {\"cell\": \"DNA repair\", \"bbox\": [0, 31, 38, 41]}, {\"cell\": \"GO:0006281\", \"bbox\": [191, 31, 232, 41]}, {\"cell\": \"116\", \"bbox\": [269, 31, 283, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 31, 389, 41]}, {\"cell\": \"0.17\", \"bbox\": [470, 31, 484, 41]}, {\"cell\": \"Protein modification by small protein conjugation\", \"bbox\": [0, 45, 163, 55]}, {\"cell\": \"GO:0032446\", \"bbox\": [191, 45, 232, 55]}, {\"cell\": \"122\", \"bbox\": [269, 45, 283, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 45, 389, 55]}, {\"cell\": \"0.17\", \"bbox\": [470, 45, 484, 55]}, {\"cell\": \"Viral reproduction\", \"bbox\": [0, 59, 60, 69]}, {\"cell\": \"GO:0016032\", \"bbox\": [191, 59, 232, 69]}, {\"cell\": \"140\", \"bbox\": [269, 59, 283, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 59, 389, 69]}, {\"cell\": \"0.15\", \"bbox\": [470, 59, 484, 69]}, {\"cell\": \"mRNA processing\", \"bbox\": [0, 73, 59, 83]}, {\"cell\": \"GO:0006397\", \"bbox\": [191, 73, 232, 83]}, {\"cell\": \"163\", \"bbox\": [269, 73, 283, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 73, 389, 83]}, {\"cell\": \"0.18\", \"bbox\": [470, 73, 484, 83]}, {\"cell\": \"Interphase of mitotic cell cycle\", \"bbox\": [0, 87, 101, 97]}, {\"cell\": \"GO:0051329\", \"bbox\": [191, 87, 232, 97]}, {\"cell\": \"170\", \"bbox\": [269, 87, 283, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 87, 389, 97]}, {\"cell\": \"0.16\", \"bbox\": [470, 87, 484, 97]}, {\"cell\": \"Protein catabolic process\", \"bbox\": [0, 101, 82, 111]}, {\"cell\": \"GO:0030163\", \"bbox\": [191, 101, 232, 111]}, {\"cell\": \"196\", \"bbox\": [269, 101, 283, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 101, 389, 111]}, {\"cell\": \"0.15\", \"bbox\": [470, 101, 484, 111]}, {\"cell\": \"Interphase\", \"bbox\": [0, 115, 36, 125]}, {\"cell\": \"GO:0051325\", \"bbox\": [191, 115, 232, 125]}, {\"cell\": \"172\", \"bbox\": [269, 115, 283, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 115, 389, 125]}, {\"cell\": \"0.15\", \"bbox\": [470, 115, 484, 125]}, {\"cell\": \"RNA splicing, via transesterification reactions\", \"bbox\": [0, 129, 145, 139]}, {\"cell\": \"GO:0000375\", \"bbox\": [191, 129, 232, 139]}, {\"cell\": \"83\", \"bbox\": [269, 129, 279, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 129, 389, 139]}, {\"cell\": \"0.22\", \"bbox\": [470, 129, 484, 139]}, {\"cell\": \"Protein ubiquitination\", \"bbox\": [0, 143, 72, 153]}, {\"cell\": \"GO:0016567\", \"bbox\": [191, 143, 232, 153]}, {\"cell\": \"119\", \"bbox\": [269, 143, 283, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 143, 389, 153]}, {\"cell\": \"0.15\", \"bbox\": [470, 143, 484, 153]}, {\"cell\": \"Translation\", \"bbox\": [0, 157, 37, 167]}, {\"cell\": \"GO:0006412\", \"bbox\": [191, 157, 232, 167]}, {\"cell\": \"101\", \"bbox\": [269, 157, 283, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 157, 389, 167]}, {\"cell\": \"0.16\", \"bbox\": [470, 157, 484, 167]}, {\"cell\": \"rRNA metabolic process\", \"bbox\": [0, 171, 79, 181]}, {\"cell\": \"GO:0016072\", \"bbox\": [191, 171, 232, 181]}, {\"cell\": \"30\", \"bbox\": [269, 171, 279, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 171, 389, 181]}, {\"cell\": \"0.33\", \"bbox\": [470, 171, 484, 181]}, {\"cell\": \"Chromatin modification\", \"bbox\": [0, 185, 79, 195]}, {\"cell\": \"GO:0016568\", \"bbox\": [191, 185, 232, 195]}, {\"cell\": \"97\", \"bbox\": [269, 185, 279, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 185, 389, 195]}, {\"cell\": \"0.15\", \"bbox\": [470, 185, 484, 195]}, {\"cell\": \"M phase\", \"bbox\": [0, 199, 30, 209]}, {\"cell\": \"GO:0000279\", \"bbox\": [191, 199, 232, 209]}, {\"cell\": \"165\", \"bbox\": [269, 199, 283, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 199, 389, 209]}, {\"cell\": \"0.13\", \"bbox\": [470, 199, 484, 209]}, {\"cell\": \"Cellular protein catabolic process\", \"bbox\": [0, 213, 109, 223]}, {\"cell\": \"GO:0044257\", \"bbox\": [191, 213, 232, 223]}, {\"cell\": \"164\", \"bbox\": [269, 213, 283, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 213, 389, 223]}, {\"cell\": \"0.14\", \"bbox\": [470, 213, 484, 223]}, {\"cell\": \"rRNA processing\", \"bbox\": [0, 227, 55, 237]}, {\"cell\": \"GO:0006364\", \"bbox\": [191, 227, 232, 237]}, {\"cell\": \"28\", \"bbox\": [269, 227, 279, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 227, 389, 237]}, {\"cell\": \"0.33\", \"bbox\": [470, 227, 484, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4255932_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}86{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Period</b></td><td colspan=\\\"3\\\"><b>Maternal educational attainment, HR (95% CI)</b></td></tr><tr><td><b>No education vs secondary or more</b></td><td><b>Primary incomplete vs secondary or more</b></td><td><b>Primary complete vs secondary or more</b></td></tr></thead><tbody><tr><td><b>Ifakara</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2000–2001</td><td>[EMPTY_CELL]</td><td>1.28 (1.02–1.60)</td><td>1.11 (0.96–1.29)</td></tr><tr><td>2002–2003</td><td>[EMPTY_CELL]</td><td>1.27 (1.07–1.50)</td><td>1.10 (0.99–1.23)</td></tr><tr><td>2004–2005</td><td>[EMPTY_CELL]</td><td>1.26 (1.11–1.43)</td><td>1.09 (1.00–1.19)</td></tr><tr><td>2006–2007</td><td>[EMPTY_CELL]</td><td>1.25 (1.11–1.41)</td><td>1.08 (1.00–1.17)</td></tr><tr><td>2008–2009</td><td>[EMPTY_CELL]</td><td>1.24 (1.06–1.45)</td><td>1.07 (0.97–1.18)</td></tr><tr><td>2010–2011</td><td>[EMPTY_CELL]</td><td>1.23 (1.00–1.52)</td><td>1.06 (0.92–1.21)</td></tr><tr><td><b>Rufiji</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2000–2001</td><td>[EMPTY_CELL]</td><td>1.22 (1.00–1.48)</td><td>1.08 (0.95–1.22)</td></tr><tr><td>2002–2003</td><td>[EMPTY_CELL]</td><td>1.18 (1.02–1.37)</td><td>1.06 (0.97–1.17)</td></tr><tr><td>2004–2005</td><td>[EMPTY_CELL]</td><td>1.14 (1.01–1.28)</td><td>1.05 (0.98–1.13)</td></tr><tr><td>2006–2007</td><td>[EMPTY_CELL]</td><td>1.10 (0.98–1.24)</td><td>1.04 (0.96–1.12)</td></tr><tr><td>2008–2009</td><td>[EMPTY_CELL]</td><td>1.07 (0.92–1.24)</td><td>1.03 (0.93–1.13)</td></tr><tr><td>2010–2011</td><td>[EMPTY_CELL]</td><td>1.03 (0.84–1.26)</td><td>1.01 (0.89–1.15)</td></tr><tr><td><b>All</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2000–2001</td><td>[EMPTY_CELL]</td><td>1.29 (1.11–1.49)</td><td>1.12 (1.01–1.23)</td></tr><tr><td>2002–2003</td><td>[EMPTY_CELL]</td><td>1.26 (1.13–1.41)</td><td>1.10 (1.03–1.18)</td></tr><tr><td>2004–2005</td><td>[EMPTY_CELL]</td><td>1.23 (1.13–1.34)</td><td>1.09 (1.03–1.15)</td></tr><tr><td>2006–2007</td><td>[EMPTY_CELL]</td><td>1.20 (1.11–1.31)</td><td>1.08 (1.02–1.13)</td></tr><tr><td>2008–2009</td><td>[EMPTY_CELL]</td><td>1.18 (1.06–1.31)</td><td>1.06 (0.99–1.14)</td></tr><tr><td>2010–2011</td><td>[EMPTY_CELL]</td><td>1.15 (1.00–1.33)</td><td>1.05 (0.96–1.15)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Period</b>\", \"bbox\": [3, 5, 27, 16]}, {\"cell\": \"<b>Maternal educational attainment, HR (95% CI)</b>\", \"bbox\": [113, 5, 267, 16]}, {\"cell\": \"<b>No education vs secondary or more</b>\", \"bbox\": [74, 22, 137, 45]}, {\"cell\": \"<b>Primary incomplete vs secondary or more</b>\", \"bbox\": [152, 22, 228, 45]}, {\"cell\": \"<b>Primary complete vs secondary or more</b>\", \"bbox\": [240, 22, 309, 45]}, {\"cell\": \"<b>Ifakara</b>\", \"bbox\": [3, 49, 30, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 61, 42, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 61, 134, 70]}, {\"cell\": \"1.28 (1.02–1.60)\", \"bbox\": [164, 61, 218, 70]}, {\"cell\": \"1.11 (0.96–1.29)\", \"bbox\": [249, 61, 303, 70]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 72, 42, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 72, 134, 82]}, {\"cell\": \"1.27 (1.07–1.50)\", \"bbox\": [164, 72, 218, 82]}, {\"cell\": \"1.10 (0.99–1.23)\", \"bbox\": [249, 72, 303, 82]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 84, 42, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 84, 134, 93]}, {\"cell\": \"1.26 (1.11–1.43)\", \"bbox\": [164, 84, 218, 93]}, {\"cell\": \"1.09 (1.00–1.19)\", \"bbox\": [249, 84, 303, 93]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 96, 42, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 96, 134, 105]}, {\"cell\": \"1.25 (1.11–1.41)\", \"bbox\": [164, 96, 218, 105]}, {\"cell\": \"1.08 (1.00–1.17)\", \"bbox\": [249, 96, 303, 105]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 108, 42, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 108, 134, 117]}, {\"cell\": \"1.24 (1.06–1.45)\", \"bbox\": [164, 108, 218, 117]}, {\"cell\": \"1.07 (0.97–1.18)\", \"bbox\": [249, 108, 303, 117]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 119, 42, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 119, 134, 129]}, {\"cell\": \"1.23 (1.00–1.52)\", \"bbox\": [164, 119, 218, 129]}, {\"cell\": \"1.06 (0.92–1.21)\", \"bbox\": [249, 119, 303, 129]}, {\"cell\": \"<b>Rufiji</b>\", \"bbox\": [3, 131, 24, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 143, 42, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 143, 134, 152]}, {\"cell\": \"1.22 (1.00–1.48)\", \"bbox\": [164, 143, 218, 152]}, {\"cell\": \"1.08 (0.95–1.22)\", \"bbox\": [249, 143, 303, 152]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 155, 42, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 155, 134, 164]}, {\"cell\": \"1.18 (1.02–1.37)\", \"bbox\": [164, 155, 218, 164]}, {\"cell\": \"1.06 (0.97–1.17)\", \"bbox\": [249, 155, 303, 164]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 166, 42, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 166, 134, 176]}, {\"cell\": \"1.14 (1.01–1.28)\", \"bbox\": [164, 166, 218, 176]}, {\"cell\": \"1.05 (0.98–1.13)\", \"bbox\": [249, 166, 303, 176]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 178, 42, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 178, 134, 187]}, {\"cell\": \"1.10 (0.98–1.24)\", \"bbox\": [164, 178, 218, 187]}, {\"cell\": \"1.04 (0.96–1.12)\", \"bbox\": [249, 178, 303, 187]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 190, 42, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 190, 134, 199]}, {\"cell\": \"1.07 (0.92–1.24)\", \"bbox\": [164, 190, 218, 199]}, {\"cell\": \"1.03 (0.93–1.13)\", \"bbox\": [249, 190, 303, 199]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 202, 42, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 202, 134, 211]}, {\"cell\": \"1.03 (0.84–1.26)\", \"bbox\": [164, 202, 218, 211]}, {\"cell\": \"1.01 (0.89–1.15)\", \"bbox\": [249, 202, 303, 211]}, {\"cell\": \"<b>All</b>\", \"bbox\": [3, 213, 15, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2000–2001\", \"bbox\": [3, 225, 42, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 225, 134, 234]}, {\"cell\": \"1.29 (1.11–1.49)\", \"bbox\": [164, 225, 218, 234]}, {\"cell\": \"1.12 (1.01–1.23)\", \"bbox\": [249, 225, 303, 234]}, {\"cell\": \"2002–2003\", \"bbox\": [3, 237, 42, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 237, 134, 246]}, {\"cell\": \"1.26 (1.13–1.41)\", \"bbox\": [164, 237, 218, 246]}, {\"cell\": \"1.10 (1.03–1.18)\", \"bbox\": [249, 237, 303, 246]}, {\"cell\": \"2004–2005\", \"bbox\": [3, 249, 42, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 249, 134, 258]}, {\"cell\": \"1.23 (1.13–1.34)\", \"bbox\": [164, 249, 218, 258]}, {\"cell\": \"1.09 (1.03–1.15)\", \"bbox\": [249, 249, 303, 258]}, {\"cell\": \"2006–2007\", \"bbox\": [3, 260, 42, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 260, 134, 270]}, {\"cell\": \"1.20 (1.11–1.31)\", \"bbox\": [164, 260, 218, 270]}, {\"cell\": \"1.08 (1.02–1.13)\", \"bbox\": [249, 260, 303, 270]}, {\"cell\": \"2008–2009\", \"bbox\": [3, 272, 42, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 272, 134, 281]}, {\"cell\": \"1.18 (1.06–1.31)\", \"bbox\": [164, 272, 218, 281]}, {\"cell\": \"1.06 (0.99–1.14)\", \"bbox\": [249, 272, 303, 281]}, {\"cell\": \"2010–2011\", \"bbox\": [3, 284, 42, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 284, 134, 293]}, {\"cell\": \"1.15 (1.00–1.33)\", \"bbox\": [164, 284, 218, 293]}, {\"cell\": \"1.05 (0.96–1.15)\", \"bbox\": [249, 284, 303, 293]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4794298_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}87{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Supervised group<i>n</i> = 84</b></td><td><b>Seminar group<i>n</i> = 85</b></td><td><b>Control group <i>n</i> = 97</b></td><td><b>ANOVA <i>P</i> value</b></td></tr></thead><tbody><tr><td>Outcome of service user (T2)*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Satisfaction with communication, mean (SD)</td><td>36.1 (6.0)</td><td>[EMPTY_CELL]</td><td>36.0 (6.1)</td><td>0.869</td></tr><tr><td> General satisfaction with public health nurse, mean (SD)</td><td>13.1 (2.4)</td><td>[EMPTY_CELL]</td><td>13.1 (2.2)</td><td>0.556</td></tr><tr><td> Spontaneous behavior, mean (SD)</td><td>11.2 (2.7)</td><td>[EMPTY_CELL]</td><td>11.1 (2.9)</td><td>0.898</td></tr><tr><td>Outcome of service user (T3)<sup>†</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Satisfaction with communication, mean (SD)</td><td>35.2 (6.2)</td><td>[EMPTY_CELL]</td><td>35.6 (5.7)</td><td>0.872</td></tr><tr><td> General satisfaction with public health nurse, mean (SD)</td><td>12.9 (2.4)</td><td>[EMPTY_CELL]</td><td>11.2 (2.6)</td><td>0.914</td></tr><tr><td> Spontaneous behavior, mean (SD)</td><td>10.9 (3.1)</td><td>[EMPTY_CELL]</td><td>11.2 (2.7)</td><td>0.763</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Supervised group<i>n</i> = 84</b>\", \"bbox\": [224, 4, 289, 25]}, {\"cell\": \"<b>Seminar group<i>n</i> = 85</b>\", \"bbox\": [312, 4, 368, 25]}, {\"cell\": \"<b>Control group <i>n</i> = 97</b>\", \"bbox\": [397, 4, 450, 25]}, {\"cell\": \"<b>ANOVA <i>P</i> value</b>\", \"bbox\": [468, 4, 500, 25]}, {\"cell\": \"Outcome of service user (T2)*\", \"bbox\": [2, 27, 114, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Satisfaction with communication, mean (SD)\", \"bbox\": [12, 41, 177, 51]}, {\"cell\": \"36.1 (6.0)\", \"bbox\": [239, 41, 275, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 41, 359, 52]}, {\"cell\": \"36.0 (6.1)\", \"bbox\": [406, 41, 442, 52]}, {\"cell\": \"0.869\", \"bbox\": [473, 41, 495, 52]}, {\"cell\": \" General satisfaction with public health nurse, mean (SD)\", \"bbox\": [12, 54, 218, 64]}, {\"cell\": \"13.1 (2.4)\", \"bbox\": [239, 55, 275, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 55, 359, 65]}, {\"cell\": \"13.1 (2.2)\", \"bbox\": [406, 55, 442, 65]}, {\"cell\": \"0.556\", \"bbox\": [473, 55, 495, 65]}, {\"cell\": \" Spontaneous behavior, mean (SD)\", \"bbox\": [12, 67, 138, 77]}, {\"cell\": \"11.2 (2.7)\", \"bbox\": [239, 68, 275, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 68, 359, 78]}, {\"cell\": \"11.1 (2.9)\", \"bbox\": [406, 68, 442, 78]}, {\"cell\": \"0.898\", \"bbox\": [473, 68, 495, 78]}, {\"cell\": \"Outcome of service user (T3)<sup>†</sup>\", \"bbox\": [2, 80, 113, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Satisfaction with communication, mean (SD)\", \"bbox\": [12, 94, 177, 105]}, {\"cell\": \"35.2 (6.2)\", \"bbox\": [239, 95, 275, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 95, 359, 105]}, {\"cell\": \"35.6 (5.7)\", \"bbox\": [406, 95, 442, 105]}, {\"cell\": \"0.872\", \"bbox\": [473, 95, 495, 105]}, {\"cell\": \" General satisfaction with public health nurse, mean (SD)\", \"bbox\": [12, 107, 218, 118]}, {\"cell\": \"12.9 (2.4)\", \"bbox\": [239, 108, 275, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 108, 359, 118]}, {\"cell\": \"11.2 (2.6)\", \"bbox\": [406, 108, 442, 118]}, {\"cell\": \"0.914\", \"bbox\": [473, 108, 495, 118]}, {\"cell\": \" Spontaneous behavior, mean (SD)\", \"bbox\": [12, 120, 138, 131]}, {\"cell\": \"10.9 (3.1)\", \"bbox\": [239, 121, 275, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 121, 359, 131]}, {\"cell\": \"11.2 (2.7)\", \"bbox\": [406, 121, 442, 131]}, {\"cell\": \"0.763\", \"bbox\": [473, 121, 495, 131]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3507045_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}88{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Females</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Males</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Source of variation</b></td><td><b>df</b></td><td><b>Var Comp%</b></td><td><b>F</b></td><td><b>P</b></td><td><b>df</b></td><td><b>Var Comp%</b></td><td><b>F</b></td><td><b>P</b></td></tr></thead><tbody><tr><td>Band4.1 inhibitor LRP interactor (2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Family*</td><td>5</td><td>[EMPTY_CELL]</td><td>14.5</td><td>< 0.0001</td><td>5</td><td>53.6</td><td>31.7</td><td>< 0.0001</td></tr><tr><td> Genotype*</td><td>4</td><td>[EMPTY_CELL]</td><td>1.7</td><td>0.16</td><td>4</td><td>1.1</td><td>1.6</td><td>0.17</td></tr><tr><td> Error</td><td>177</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>202</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>CG33692 (1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Family*</td><td>5</td><td>[EMPTY_CELL]</td><td>13.2</td><td>< 0.0001</td><td>5</td><td>38.6</td><td>18.2</td><td>< 0.0001</td></tr><tr><td> Genotype*</td><td>7</td><td>[EMPTY_CELL]</td><td>2.7</td><td>0.011</td><td>7</td><td>6.8</td><td>3.5</td><td>0.0013</td></tr><tr><td> Error</td><td>168</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>200</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Corto (2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Family*</td><td>5</td><td>[EMPTY_CELL]</td><td>10.5</td><td>< 0.0001</td><td>5</td><td>46.1</td><td>18.4</td><td>< 0.0001</td></tr><tr><td> Genotype*</td><td>9</td><td>[EMPTY_CELL]</td><td>2.1</td><td>0.035</td><td>9</td><td>1.1</td><td>1.3</td><td>0.23</td></tr><tr><td> Error</td><td>175</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>200</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Ecdysone-induced protein 75B (1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Family*</td><td>4</td><td>[EMPTY_CELL]</td><td>14.3</td><td>< 0.0001</td><td>4</td><td>43.3</td><td>19.2</td><td>< 0.0001</td></tr><tr><td> Genotype*</td><td>2</td><td>[EMPTY_CELL]</td><td>4.6</td><td>0.012</td><td>2</td><td>1.2</td><td>1.8</td><td>0.18</td></tr><tr><td> Error</td><td>134</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>119</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>3531953:1 (X)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Family*</td><td>4</td><td>[EMPTY_CELL]</td><td>16.2</td><td>< 0.0001</td><td>4</td><td>50.6</td><td>22.6</td><td>< 0.0001</td></tr><tr><td> Genotype*</td><td>5</td><td>[EMPTY_CELL]</td><td>0.7</td><td>0.59</td><td>5</td><td>6.5</td><td>4.5</td><td>0.0049</td></tr><tr><td> Error</td><td>143</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>144</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Females</b>\", \"bbox\": [166, 4, 196, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Males</b>\", \"bbox\": [343, 4, 365, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Source of variation</b>\", \"bbox\": [0, 16, 69, 25]}, {\"cell\": \"<b>df</b>\", \"bbox\": [134, 16, 143, 25]}, {\"cell\": \"<b>Var Comp%</b>\", \"bbox\": [166, 16, 209, 25]}, {\"cell\": \"<b>F</b>\", \"bbox\": [228, 16, 234, 25]}, {\"cell\": \"<b>P</b>\", \"bbox\": [262, 16, 269, 25]}, {\"cell\": \"<b>df</b>\", \"bbox\": [311, 16, 320, 25]}, {\"cell\": \"<b>Var Comp%</b>\", \"bbox\": [343, 16, 387, 25]}, {\"cell\": \"<b>F</b>\", \"bbox\": [406, 16, 412, 25]}, {\"cell\": \"<b>P</b>\", \"bbox\": [440, 16, 446, 25]}, {\"cell\": \"Band4.1 inhibitor LRP interactor (2)\", \"bbox\": [0, 29, 115, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family*\", \"bbox\": [15, 41, 41, 51]}, {\"cell\": \"5\", \"bbox\": [134, 41, 139, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 41, 181, 51]}, {\"cell\": \"14.5\", \"bbox\": [228, 41, 243, 51]}, {\"cell\": \"< 0.0001\", \"bbox\": [262, 41, 292, 51]}, {\"cell\": \"5\", \"bbox\": [311, 41, 317, 51]}, {\"cell\": \"53.6\", \"bbox\": [343, 41, 358, 51]}, {\"cell\": \"31.7\", \"bbox\": [406, 41, 421, 51]}, {\"cell\": \"< 0.0001\", \"bbox\": [440, 41, 469, 51]}, {\"cell\": \" Genotype*\", \"bbox\": [15, 53, 52, 63]}, {\"cell\": \"4\", \"bbox\": [134, 53, 139, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 53, 177, 63]}, {\"cell\": \"1.7\", \"bbox\": [228, 53, 239, 63]}, {\"cell\": \"0.16\", \"bbox\": [262, 53, 277, 63]}, {\"cell\": \"4\", \"bbox\": [311, 53, 317, 63]}, {\"cell\": \"1.1\", \"bbox\": [343, 53, 354, 63]}, {\"cell\": \"1.6\", \"bbox\": [406, 53, 417, 63]}, {\"cell\": \"0.17\", \"bbox\": [440, 53, 454, 63]}, {\"cell\": \" Error\", \"bbox\": [15, 65, 32, 75]}, {\"cell\": \"177\", \"bbox\": [134, 65, 147, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"202\", \"bbox\": [311, 65, 324, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CG33692 (1)\", \"bbox\": [1, 77, 42, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family*\", \"bbox\": [15, 89, 41, 98]}, {\"cell\": \"5\", \"bbox\": [134, 89, 139, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 89, 181, 98]}, {\"cell\": \"13.2\", \"bbox\": [228, 89, 243, 98]}, {\"cell\": \"< 0.0001\", \"bbox\": [262, 89, 292, 98]}, {\"cell\": \"5\", \"bbox\": [311, 89, 317, 98]}, {\"cell\": \"38.6\", \"bbox\": [343, 89, 358, 98]}, {\"cell\": \"18.2\", \"bbox\": [406, 89, 421, 98]}, {\"cell\": \"< 0.0001\", \"bbox\": [440, 89, 469, 98]}, {\"cell\": \" Genotype*\", \"bbox\": [15, 101, 52, 110]}, {\"cell\": \"7\", \"bbox\": [134, 101, 139, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 101, 177, 110]}, {\"cell\": \"2.7\", \"bbox\": [228, 101, 239, 110]}, {\"cell\": \"0.011\", \"bbox\": [262, 101, 281, 110]}, {\"cell\": \"7\", \"bbox\": [311, 101, 317, 110]}, {\"cell\": \"6.8\", \"bbox\": [343, 101, 354, 110]}, {\"cell\": \"3.5\", \"bbox\": [406, 101, 417, 110]}, {\"cell\": \"0.0013\", \"bbox\": [440, 101, 462, 110]}, {\"cell\": \" Error\", \"bbox\": [15, 113, 32, 122]}, {\"cell\": \"168\", \"bbox\": [134, 113, 147, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"200\", \"bbox\": [311, 113, 324, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Corto (2)\", \"bbox\": [1, 125, 31, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family*\", \"bbox\": [15, 137, 41, 146]}, {\"cell\": \"5\", \"bbox\": [134, 137, 139, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 137, 181, 146]}, {\"cell\": \"10.5\", \"bbox\": [228, 137, 243, 146]}, {\"cell\": \"< 0.0001\", \"bbox\": [262, 137, 292, 146]}, {\"cell\": \"5\", \"bbox\": [311, 137, 317, 146]}, {\"cell\": \"46.1\", \"bbox\": [343, 137, 358, 146]}, {\"cell\": \"18.4\", \"bbox\": [406, 137, 421, 146]}, {\"cell\": \"< 0.0001\", \"bbox\": [440, 137, 469, 146]}, {\"cell\": \" Genotype*\", \"bbox\": [15, 149, 52, 158]}, {\"cell\": \"9\", \"bbox\": [134, 149, 139, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 149, 177, 158]}, {\"cell\": \"2.1\", \"bbox\": [228, 149, 239, 158]}, {\"cell\": \"0.035\", \"bbox\": [262, 149, 281, 158]}, {\"cell\": \"9\", \"bbox\": [311, 149, 317, 158]}, {\"cell\": \"1.1\", \"bbox\": [343, 149, 354, 158]}, {\"cell\": \"1.3\", \"bbox\": [406, 149, 417, 158]}, {\"cell\": \"0.23\", \"bbox\": [440, 149, 454, 158]}, {\"cell\": \" Error\", \"bbox\": [15, 161, 32, 170]}, {\"cell\": \"175\", \"bbox\": [134, 161, 147, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"200\", \"bbox\": [311, 161, 324, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ecdysone-induced protein 75B (1)\", \"bbox\": [1, 173, 111, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family*\", \"bbox\": [15, 185, 41, 194]}, {\"cell\": \"4\", \"bbox\": [134, 185, 139, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 185, 181, 194]}, {\"cell\": \"14.3\", \"bbox\": [228, 185, 243, 194]}, {\"cell\": \"< 0.0001\", \"bbox\": [262, 185, 292, 194]}, {\"cell\": \"4\", \"bbox\": [311, 185, 317, 194]}, {\"cell\": \"43.3\", \"bbox\": [343, 185, 358, 194]}, {\"cell\": \"19.2\", \"bbox\": [406, 185, 421, 194]}, {\"cell\": \"< 0.0001\", \"bbox\": [440, 185, 469, 194]}, {\"cell\": \" Genotype*\", \"bbox\": [15, 197, 52, 206]}, {\"cell\": \"2\", \"bbox\": [134, 197, 139, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 197, 177, 206]}, {\"cell\": \"4.6\", \"bbox\": [228, 197, 239, 206]}, {\"cell\": \"0.012\", \"bbox\": [262, 197, 281, 206]}, {\"cell\": \"2\", \"bbox\": [311, 197, 317, 206]}, {\"cell\": \"1.2\", \"bbox\": [343, 197, 354, 206]}, {\"cell\": \"1.8\", \"bbox\": [406, 197, 417, 206]}, {\"cell\": \"0.18\", \"bbox\": [440, 197, 454, 206]}, {\"cell\": \" Error\", \"bbox\": [15, 209, 32, 218]}, {\"cell\": \"134\", \"bbox\": [134, 209, 147, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"119\", \"bbox\": [311, 209, 324, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3531953:1 (X)\", \"bbox\": [1, 220, 45, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family*\", \"bbox\": [15, 232, 41, 242]}, {\"cell\": \"4\", \"bbox\": [134, 232, 139, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 232, 181, 242]}, {\"cell\": \"16.2\", \"bbox\": [228, 232, 243, 242]}, {\"cell\": \"< 0.0001\", \"bbox\": [262, 232, 292, 242]}, {\"cell\": \"4\", \"bbox\": [311, 232, 317, 242]}, {\"cell\": \"50.6\", \"bbox\": [343, 232, 358, 242]}, {\"cell\": \"22.6\", \"bbox\": [406, 232, 421, 242]}, {\"cell\": \"< 0.0001\", \"bbox\": [440, 232, 469, 242]}, {\"cell\": \" Genotype*\", \"bbox\": [15, 244, 52, 254]}, {\"cell\": \"5\", \"bbox\": [134, 244, 139, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 244, 179, 254]}, {\"cell\": \"0.7\", \"bbox\": [228, 244, 239, 254]}, {\"cell\": \"0.59\", \"bbox\": [262, 244, 277, 254]}, {\"cell\": \"5\", \"bbox\": [311, 244, 317, 254]}, {\"cell\": \"6.5\", \"bbox\": [343, 244, 354, 254]}, {\"cell\": \"4.5\", \"bbox\": [406, 244, 417, 254]}, {\"cell\": \"0.0049\", \"bbox\": [440, 244, 462, 254]}, {\"cell\": \" Error\", \"bbox\": [15, 256, 32, 266]}, {\"cell\": \"143\", \"bbox\": [134, 256, 147, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"144\", \"bbox\": [311, 256, 324, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3055267_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}89{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Descriptive Statistics</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>17/17</td></tr><tr><td>[EMPTY_CELL]</td><td>30.52±4.57</td></tr><tr><td>[EMPTY_CELL]</td><td>12±2.91</td></tr><tr><td>[EMPTY_CELL]</td><td>13.31±4.64</td></tr><tr><td>[EMPTY_CELL]</td><td>3.50±1.74</td></tr><tr><td>[EMPTY_CELL]</td><td>11/17</td></tr><tr><td>[EMPTY_CELL]</td><td>8/17</td></tr><tr><td>[EMPTY_CELL]</td><td>9/17</td></tr><tr><td>[EMPTY_CELL]</td><td>12/17</td></tr><tr><td>[EMPTY_CELL]</td><td>12/17</td></tr><tr><td>[EMPTY_CELL]</td><td>4/17</td></tr><tr><td>[EMPTY_CELL]</td><td>12/17</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Descriptive Statistics</b>\", \"bbox\": [189, 5, 266, 20]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 28, 201, 37]}, {\"cell\": \"17/17\", \"bbox\": [393, 28, 414, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 44, 188, 53]}, {\"cell\": \"30.52±4.57\", \"bbox\": [385, 44, 423, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 57, 198, 70]}, {\"cell\": \"12±2.91\", \"bbox\": [390, 60, 418, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 73, 249, 86]}, {\"cell\": \"13.31±4.64\", \"bbox\": [385, 76, 423, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 89, 215, 102]}, {\"cell\": \"3.50±1.74\", \"bbox\": [387, 92, 421, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 105, 254, 118]}, {\"cell\": \"11/17\", \"bbox\": [393, 108, 414, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 121, 254, 134]}, {\"cell\": \"8/17\", \"bbox\": [395, 124, 412, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 140, 271, 153]}, {\"cell\": \"9/17\", \"bbox\": [395, 143, 412, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 159, 255, 172]}, {\"cell\": \"12/17\", \"bbox\": [393, 162, 414, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 175, 256, 188]}, {\"cell\": \"12/17\", \"bbox\": [393, 178, 414, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 192, 256, 205]}, {\"cell\": \"4/17\", \"bbox\": [395, 194, 412, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 208, 261, 221]}, {\"cell\": \"12/17\", \"bbox\": [393, 211, 414, 220]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5691169_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}90{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Group 1</b></td><td colspan=\\\"4\\\"><b>Group 2</b></td></tr><tr><td><b>Cut-off of FibroTest</b></td><td><b>Sensitivity</b></td><td><b>Specificity</b></td><td><b>Positive Predictive Value</b></td><td><b>Negative Predictive Value</b></td><td><b>Sensitivity</b></td><td><b>Specificity</b></td><td><b>Positive Predictive Value</b></td><td><b>Negative Predictive Value</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\"><b>Stage F2F3F4</b></td><td colspan=\\\"2\\\">Prevalence = 0.24 (40/170)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">Prevalence = 0.32 (31/97)</td></tr><tr><td>0.30</td><td>0.83 (33/40)</td><td>0.78 (101/130)</td><td>0.53 (33/62)</td><td>0.94 (101/108)</td><td>[EMPTY_CELL]</td><td>0.74 (49/66)</td><td>0.56 (22/39)</td><td>0.84 (49/58)</td></tr><tr><td>0.70</td><td>0.18 (7/40)</td><td>0.98 (128/130)</td><td>0.78 (7/9)</td><td>0.80 (128/161)</td><td>[EMPTY_CELL]</td><td>0.98 (65/66)</td><td>0.80 (4/5)</td><td>0.71 (65/92)</td></tr><tr><td colspan=\\\"3\\\"><b>Stage F3F4</b></td><td colspan=\\\"2\\\">Prevalence = 0.12 (20/170)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">Prevalence = 0.16 (16/97)</td></tr><tr><td>0.30</td><td>0.95 (19/20)</td><td>0.71 (107/150)</td><td>0.31 (19/62)</td><td>0.99 (107/108)</td><td>[EMPTY_CELL]</td><td>0.69 (56/81)</td><td>0.36 (14/39)</td><td>0.97 (56/58)</td></tr><tr><td>0.70</td><td>0.25 (5/20)</td><td>0.97 (146/150)</td><td>0.56 (5/9)</td><td>0.91 (146/161)</td><td>[EMPTY_CELL]</td><td>0.99 (80/81)</td><td>0.80 (4/5)</td><td>0.87 (80/92)</td></tr><tr><td>% of patients with FT between 0.30–0.70</td><td>0.32 (54/170)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Group 1</b>\", \"bbox\": [61, 5, 95, 14]}, {\"cell\": \"<b>Group 2</b>\", \"bbox\": [295, 5, 329, 14]}, {\"cell\": \"<b>Cut-off of FibroTest</b>\", \"bbox\": [4, 15, 44, 34]}, {\"cell\": \"<b>Sensitivity</b>\", \"bbox\": [61, 15, 103, 24]}, {\"cell\": \"<b>Specificity</b>\", \"bbox\": [117, 15, 159, 24]}, {\"cell\": \"<b>Positive Predictive Value</b>\", \"bbox\": [179, 15, 220, 43]}, {\"cell\": \"<b>Negative Predictive Value</b>\", \"bbox\": [234, 15, 276, 43]}, {\"cell\": \"<b>Sensitivity</b>\", \"bbox\": [295, 15, 337, 24]}, {\"cell\": \"<b>Specificity</b>\", \"bbox\": [346, 15, 388, 24]}, {\"cell\": \"<b>Positive Predictive Value</b>\", \"bbox\": [399, 15, 440, 43]}, {\"cell\": \"<b>Negative Predictive Value</b>\", \"bbox\": [451, 15, 492, 43]}, {\"cell\": \"<b>Stage F2F3F4</b>\", \"bbox\": [4, 56, 59, 65]}, {\"cell\": \"Prevalence = 0.24 (40/170)\", \"bbox\": [179, 55, 271, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prevalence = 0.32 (31/97)\", \"bbox\": [399, 55, 487, 65]}, {\"cell\": \"0.30\", \"bbox\": [4, 78, 21, 87]}, {\"cell\": \"0.83 (33/40)\", \"bbox\": [61, 78, 104, 87]}, {\"cell\": \"0.78 (101/130)\", \"bbox\": [117, 78, 168, 87]}, {\"cell\": \"0.53 (33/62)\", \"bbox\": [179, 78, 221, 87]}, {\"cell\": \"0.94 (101/108)\", \"bbox\": [234, 78, 285, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 78, 338, 87]}, {\"cell\": \"0.74 (49/66)\", \"bbox\": [346, 78, 389, 87]}, {\"cell\": \"0.56 (22/39)\", \"bbox\": [399, 78, 442, 87]}, {\"cell\": \"0.84 (49/58)\", \"bbox\": [451, 78, 494, 87]}, {\"cell\": \"0.70\", \"bbox\": [4, 88, 21, 98]}, {\"cell\": \"0.18 (7/40)\", \"bbox\": [61, 88, 100, 98]}, {\"cell\": \"0.98 (128/130)\", \"bbox\": [117, 88, 168, 98]}, {\"cell\": \"0.78 (7/9)\", \"bbox\": [179, 88, 213, 98]}, {\"cell\": \"0.80 (128/161)\", \"bbox\": [234, 88, 285, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 88, 333, 98]}, {\"cell\": \"0.98 (65/66)\", \"bbox\": [346, 88, 389, 98]}, {\"cell\": \"0.80 (4/5)\", \"bbox\": [399, 88, 433, 98]}, {\"cell\": \"0.71 (65/92)\", \"bbox\": [451, 88, 494, 98]}, {\"cell\": \"<b>Stage F3F4</b>\", \"bbox\": [4, 98, 50, 108]}, {\"cell\": \"Prevalence = 0.12 (20/170)\", \"bbox\": [179, 98, 271, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prevalence = 0.16 (16/97)\", \"bbox\": [399, 98, 487, 108]}, {\"cell\": \"0.30\", \"bbox\": [4, 108, 21, 118]}, {\"cell\": \"0.95 (19/20)\", \"bbox\": [61, 108, 104, 118]}, {\"cell\": \"0.71 (107/150)\", \"bbox\": [117, 108, 168, 118]}, {\"cell\": \"0.31 (19/62)\", \"bbox\": [179, 108, 221, 118]}, {\"cell\": \"0.99 (107/108)\", \"bbox\": [234, 108, 285, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 108, 338, 118]}, {\"cell\": \"0.69 (56/81)\", \"bbox\": [346, 108, 389, 118]}, {\"cell\": \"0.36 (14/39)\", \"bbox\": [399, 108, 442, 118]}, {\"cell\": \"0.97 (56/58)\", \"bbox\": [451, 108, 494, 118]}, {\"cell\": \"0.70\", \"bbox\": [4, 119, 21, 128]}, {\"cell\": \"0.25 (5/20)\", \"bbox\": [61, 119, 100, 128]}, {\"cell\": \"0.97 (146/150)\", \"bbox\": [117, 119, 168, 128]}, {\"cell\": \"0.56 (5/9)\", \"bbox\": [179, 119, 213, 128]}, {\"cell\": \"0.91 (146/161)\", \"bbox\": [234, 119, 285, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 119, 333, 128]}, {\"cell\": \"0.99 (80/81)\", \"bbox\": [346, 119, 389, 128]}, {\"cell\": \"0.80 (4/5)\", \"bbox\": [399, 119, 433, 128]}, {\"cell\": \"0.87 (80/92)\", \"bbox\": [451, 119, 494, 128]}, {\"cell\": \"% of patients with FT between 0.30–0.70\", \"bbox\": [4, 129, 49, 166]}, {\"cell\": \"0.32 (54/170)\", \"bbox\": [61, 129, 108, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 129, 337, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1386692_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}91{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Parameter</b></td><td><b>RA group (<i>n</i> = 82)</b></td><td><b>Control group (<i>n</i> = 87)</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Sex of subjects, <i>n</i> (% of group)</td></tr><tr><td> Female</td><td>61 (74.4%)</td><td>50 (57.5%)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td> Male</td><td>21 (25.6%)</td><td>37 (42.5%)</td></tr><tr><td>Age (years), median (range)</td><td>54 (20–82)</td><td>53 (25–78)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">BMI (kg/m<sup>2</sup>), <i>n</i> (%)</td></tr><tr><td> <18.5</td><td>2 (2.4%)</td><td>2 (2.3%)</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td> 18.5–24.9</td><td>36 (43.9%)</td><td>29 (33.3%)</td></tr><tr><td> ≥25</td><td>44 (53.7%)</td><td>56 (64.4%)</td></tr><tr><td colspan=\\\"4\\\">Cigarette smoking, <i>n</i> (%)</td></tr><tr><td> Current smoker</td><td>22 (26.8%)</td><td>31 (35.6%)</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td> Former smoker (cessation ≥ 1 year)</td><td>29 (35.4%)</td><td>38 (43.7%)</td></tr><tr><td> Never smoker</td><td>31 (37.8%)</td><td>18 (20.7%)</td></tr><tr><td>Albumin (g/dL), median (range)</td><td>3.93 (2.57–5.70)</td><td>4.23 (2.85–5.42)</td><td>[EMPTY_CELL]</td></tr><tr><td>Uric acid (g/dL), median (range)</td><td>4.3 (1.5–9.1)</td><td>5.2 (3.0–8.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Time from RA onset (years), median (range)</td><td>8.5 (0.2–50)</td><td>—</td><td>[EMPTY_CELL]</td></tr><tr><td>RF + (cutoff 20 IU/mL), <i>n</i> (%)</td><td>53 (64.6%)</td><td>—</td><td>[EMPTY_CELL]</td></tr><tr><td>ACPA + (cutoff 25 U/mL), <i>n</i> (%)</td><td>41 (50.0%)</td><td>—</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of swollen joints, median (range)</td><td>4 (0–24)</td><td>—</td><td>[EMPTY_CELL]</td></tr><tr><td>DAS 28, median (range)</td><td>5.01 (1.49–8.49)</td><td>—</td><td>[EMPTY_CELL]</td></tr><tr><td>Treatment</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Methotrexate</td><td>46 (56.1%)</td><td>—</td><td>[EMPTY_CELL]</td></tr><tr><td> Other nonbiologic DMARDs</td><td>33 (40.2%)</td><td>—</td><td>[EMPTY_CELL]</td></tr><tr><td> Anti-TNF therapy</td><td>23 (28.0%)</td><td>—</td><td>[EMPTY_CELL]</td></tr><tr><td> Steroids</td><td>62 (75.6%)</td><td>—</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [2, 8, 41, 18]}, {\"cell\": \"<b>RA group (<i>n</i> = 82)</b>\", \"bbox\": [213, 8, 282, 18]}, {\"cell\": \"<b>Control group (<i>n</i> = 87)</b>\", \"bbox\": [329, 8, 414, 18]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [467, 8, 495, 18]}, {\"cell\": \"Sex of subjects, <i>n</i> (% of group)\", \"bbox\": [2, 22, 115, 32]}, {\"cell\": \" Female\", \"bbox\": [12, 35, 39, 45]}, {\"cell\": \"61 (74.4%)\", \"bbox\": [227, 35, 268, 45]}, {\"cell\": \"50 (57.5%)\", \"bbox\": [351, 35, 392, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 41, 494, 52]}, {\"cell\": \" Male\", \"bbox\": [12, 48, 31, 58]}, {\"cell\": \"21 (25.6%)\", \"bbox\": [227, 48, 268, 58]}, {\"cell\": \"37 (42.5%)\", \"bbox\": [351, 48, 392, 58]}, {\"cell\": \"Age (years), median (range)\", \"bbox\": [2, 61, 105, 71]}, {\"cell\": \"54 (20–82)\", \"bbox\": [227, 61, 268, 71]}, {\"cell\": \"53 (25–78)\", \"bbox\": [351, 61, 392, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 61, 487, 71]}, {\"cell\": \"BMI (kg/m<sup>2</sup>), <i>n</i> (%)\", \"bbox\": [2, 72, 76, 84]}, {\"cell\": \" <18.5\", \"bbox\": [11, 87, 34, 97]}, {\"cell\": \"2 (2.4%)\", \"bbox\": [231, 87, 264, 97]}, {\"cell\": \"2 (2.3%)\", \"bbox\": [355, 87, 388, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 100, 487, 110]}, {\"cell\": \" 18.5–24.9\", \"bbox\": [11, 100, 48, 110]}, {\"cell\": \"36 (43.9%)\", \"bbox\": [227, 100, 268, 110]}, {\"cell\": \"29 (33.3%)\", \"bbox\": [351, 100, 392, 110]}, {\"cell\": \" ≥25\", \"bbox\": [11, 113, 27, 123]}, {\"cell\": \"44 (53.7%)\", \"bbox\": [227, 113, 268, 123]}, {\"cell\": \"56 (64.4%)\", \"bbox\": [351, 113, 392, 123]}, {\"cell\": \"Cigarette smoking, <i>n</i> (%)\", \"bbox\": [2, 126, 95, 136]}, {\"cell\": \" Current smoker\", \"bbox\": [11, 139, 71, 149]}, {\"cell\": \"22 (26.8%)\", \"bbox\": [227, 139, 268, 149]}, {\"cell\": \"31 (35.6%)\", \"bbox\": [351, 139, 392, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 152, 491, 162]}, {\"cell\": \" Former smoker (cessation ≥ 1 year)\", \"bbox\": [11, 152, 140, 162]}, {\"cell\": \"29 (35.4%)\", \"bbox\": [227, 152, 268, 162]}, {\"cell\": \"38 (43.7%)\", \"bbox\": [351, 152, 392, 162]}, {\"cell\": \" Never smoker\", \"bbox\": [11, 165, 64, 175]}, {\"cell\": \"31 (37.8%)\", \"bbox\": [227, 165, 268, 175]}, {\"cell\": \"18 (20.7%)\", \"bbox\": [351, 165, 392, 175]}, {\"cell\": \"Albumin (g/dL), median (range)\", \"bbox\": [2, 178, 122, 188]}, {\"cell\": \"3.93 (2.57–5.70)\", \"bbox\": [218, 178, 277, 188]}, {\"cell\": \"4.23 (2.85–5.42)\", \"bbox\": [341, 178, 401, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 178, 500, 188]}, {\"cell\": \"Uric acid (g/dL), median (range)\", \"bbox\": [2, 191, 122, 201]}, {\"cell\": \"4.3 (1.5–9.1)\", \"bbox\": [224, 191, 271, 201]}, {\"cell\": \"5.2 (3.0–8.8)\", \"bbox\": [348, 191, 395, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 191, 487, 201]}, {\"cell\": \"Time from RA onset (years), median (range)\", \"bbox\": [2, 204, 166, 214]}, {\"cell\": \"8.5 (0.2–50)\", \"bbox\": [225, 204, 270, 214]}, {\"cell\": \"—\", \"bbox\": [366, 208, 376, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 208, 486, 212]}, {\"cell\": \"RF + (cutoff 20 IU/mL), <i>n</i> (%)\", \"bbox\": [2, 217, 111, 227]}, {\"cell\": \"53 (64.6%)\", \"bbox\": [227, 217, 268, 227]}, {\"cell\": \"—\", \"bbox\": [366, 221, 376, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 221, 486, 225]}, {\"cell\": \"ACPA + (cutoff 25 U/mL), <i>n</i> (%)\", \"bbox\": [2, 230, 121, 240]}, {\"cell\": \"41 (50.0%)\", \"bbox\": [227, 230, 268, 240]}, {\"cell\": \"—\", \"bbox\": [366, 234, 376, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 234, 486, 238]}, {\"cell\": \"Number of swollen joints, median (range)\", \"bbox\": [2, 243, 156, 253]}, {\"cell\": \"4 (0–24)\", \"bbox\": [231, 243, 264, 253]}, {\"cell\": \"—\", \"bbox\": [366, 247, 376, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 247, 486, 251]}, {\"cell\": \"DAS 28, median (range)\", \"bbox\": [2, 256, 92, 266]}, {\"cell\": \"5.01 (1.49–8.49)\", \"bbox\": [218, 256, 277, 266]}, {\"cell\": \"—\", \"bbox\": [366, 260, 376, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 260, 486, 264]}, {\"cell\": \"Treatment\", \"bbox\": [2, 269, 42, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 273, 486, 277]}, {\"cell\": \" Methotrexate\", \"bbox\": [11, 282, 62, 292]}, {\"cell\": \"46 (56.1%)\", \"bbox\": [227, 282, 268, 292]}, {\"cell\": \"—\", \"bbox\": [366, 286, 376, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 286, 486, 290]}, {\"cell\": \" Other nonbiologic DMARDs\", \"bbox\": [11, 295, 118, 305]}, {\"cell\": \"33 (40.2%)\", \"bbox\": [227, 295, 268, 305]}, {\"cell\": \"—\", \"bbox\": [366, 299, 376, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 299, 486, 303]}, {\"cell\": \" Anti-TNF therapy\", \"bbox\": [11, 308, 79, 318]}, {\"cell\": \"23 (28.0%)\", \"bbox\": [227, 308, 268, 318]}, {\"cell\": \"—\", \"bbox\": [366, 312, 376, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 312, 486, 316]}, {\"cell\": \" Steroids\", \"bbox\": [11, 321, 42, 331]}, {\"cell\": \"62 (75.6%)\", \"bbox\": [227, 321, 268, 331]}, {\"cell\": \"—\", \"bbox\": [366, 325, 376, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 325, 486, 329]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5907524_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}92{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>All studied patients</b></td><td><b>'High-scoring patients'</b></td><td><b>'Low-scoring patients'</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>65</td><td>18 (29%)</td><td>44 (71%)</td></tr><tr><td>[EMPTY_CELL]</td><td>28.1 ± 13.9</td><td>46.3 ± 8.9</td><td>20.6 ± 7.1<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>39 ± 15</td><td>41 ± 13</td><td>39 ± 15</td></tr><tr><td>[EMPTY_CELL]</td><td>35/30</td><td>8/10</td><td>25/19</td></tr><tr><td>[EMPTY_CELL]</td><td>57 ± 32</td><td>56 ± 33</td><td>59 ± 31</td></tr><tr><td>[EMPTY_CELL]</td><td>3.2 ± 0.5</td><td>3.3 ± 0.5</td><td>3.2 ± 0.5</td></tr><tr><td>[EMPTY_CELL]</td><td>16 ± 6</td><td>15 ± 4</td><td>16 ± 6</td></tr><tr><td>[EMPTY_CELL]</td><td>47 ± 32</td><td>59 ± 37.0</td><td>42 ± 29<sup>b</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>30 ± 22</td><td>37 ± 22</td><td>27 ± 22</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>13 (20)</td><td>5 (28)</td><td>8 (18)</td></tr><tr><td>[EMPTY_CELL]</td><td>28 (43)</td><td>7 (39)</td><td>20 (45.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>20 (31)</td><td>5 (28)</td><td>14 (32)</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (6)</td><td>1 (6)</td><td>2 (4,5)</td></tr><tr><td>[EMPTY_CELL]</td><td>7 (11)</td><td>3 (17)</td><td>4 (9)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>29 (46)</td><td>7 (39)</td><td>22 (50)</td></tr><tr><td>[EMPTY_CELL]</td><td>5 (8)</td><td>1 (5.5)</td><td>4 (9)</td></tr><tr><td>[EMPTY_CELL]</td><td>7 (10)</td><td>1 (5.5)</td><td>6 (14)</td></tr><tr><td>[EMPTY_CELL]</td><td>12 (18)</td><td>8 (44)</td><td>4 (9)<sup>b</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>6 (13)</td><td>1 (5.5)</td><td>5 (11)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (5)</td><td>-</td><td>3 (7)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [5, 9, 54, 19]}, {\"cell\": \"<b>All studied patients</b>\", \"bbox\": [224, 9, 291, 19]}, {\"cell\": \"<b>'High-scoring patients'</b>\", \"bbox\": [316, 9, 394, 19]}, {\"cell\": \"<b>'Low-scoring patients'</b>\", \"bbox\": [414, 9, 490, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 25, 163, 35]}, {\"cell\": \"65\", \"bbox\": [252, 25, 263, 35]}, {\"cell\": \"18 (29%)\", \"bbox\": [337, 25, 372, 35]}, {\"cell\": \"44 (71%)\", \"bbox\": [434, 25, 469, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 41, 94, 51]}, {\"cell\": \"28.1 ± 13.9\", \"bbox\": [236, 41, 279, 51]}, {\"cell\": \"46.3 ± 8.9\", \"bbox\": [335, 41, 374, 51]}, {\"cell\": \"20.6 ± 7.1<sup>a</sup>\", \"bbox\": [431, 40, 473, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 56, 89, 66]}, {\"cell\": \"39 ± 15\", \"bbox\": [242, 56, 272, 66]}, {\"cell\": \"41 ± 13\", \"bbox\": [339, 56, 370, 66]}, {\"cell\": \"39 ± 15\", \"bbox\": [437, 56, 467, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 72, 76, 82]}, {\"cell\": \"35/30\", \"bbox\": [246, 72, 269, 82]}, {\"cell\": \"8/10\", \"bbox\": [345, 72, 364, 82]}, {\"cell\": \"25/19\", \"bbox\": [440, 72, 464, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 87, 206, 97]}, {\"cell\": \"57 ± 32\", \"bbox\": [242, 87, 273, 97]}, {\"cell\": \"56 ± 33\", \"bbox\": [340, 87, 370, 97]}, {\"cell\": \"59 ± 31\", \"bbox\": [437, 87, 467, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 103, 113, 113]}, {\"cell\": \"3.2 ± 0.5\", \"bbox\": [240, 103, 274, 113]}, {\"cell\": \"3.3 ± 0.5\", \"bbox\": [338, 103, 372, 113]}, {\"cell\": \"3.2 ± 0.5\", \"bbox\": [435, 103, 469, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 118, 112, 128]}, {\"cell\": \"16 ± 6\", \"bbox\": [245, 118, 270, 128]}, {\"cell\": \"15 ± 4\", \"bbox\": [342, 118, 368, 128]}, {\"cell\": \"16 ± 6\", \"bbox\": [439, 118, 465, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 134, 134, 144]}, {\"cell\": \"47 ± 32\", \"bbox\": [242, 134, 273, 144]}, {\"cell\": \"59 ± 37.0\", \"bbox\": [336, 134, 373, 144]}, {\"cell\": \"42 ± 29<sup>b</sup>\", \"bbox\": [435, 133, 469, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 149, 187, 159]}, {\"cell\": \"30 ± 22\", \"bbox\": [242, 149, 273, 159]}, {\"cell\": \"37 ± 22\", \"bbox\": [339, 149, 370, 159]}, {\"cell\": \"27 ± 22\", \"bbox\": [437, 149, 467, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 165, 159, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 180, 40, 190]}, {\"cell\": \"13 (20)\", \"bbox\": [243, 180, 271, 190]}, {\"cell\": \"5 (28)\", \"bbox\": [343, 180, 366, 190]}, {\"cell\": \"8 (18)\", \"bbox\": [440, 180, 463, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 196, 54, 206]}, {\"cell\": \"28 (43)\", \"bbox\": [243, 196, 271, 206]}, {\"cell\": \"7 (39)\", \"bbox\": [343, 196, 366, 206]}, {\"cell\": \"20 (45.5)\", \"bbox\": [435, 196, 469, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 211, 68, 221]}, {\"cell\": \"20 (31)\", \"bbox\": [243, 211, 271, 221]}, {\"cell\": \"5 (28)\", \"bbox\": [343, 211, 366, 221]}, {\"cell\": \"14 (32)\", \"bbox\": [438, 211, 466, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 227, 36, 237]}, {\"cell\": \"4 (6)\", \"bbox\": [248, 227, 267, 237]}, {\"cell\": \"1 (6)\", \"bbox\": [345, 227, 364, 237]}, {\"cell\": \"2 (4,5)\", \"bbox\": [439, 227, 464, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 242, 129, 252]}, {\"cell\": \"7 (11)\", \"bbox\": [246, 242, 269, 252]}, {\"cell\": \"3 (17)\", \"bbox\": [343, 242, 366, 252]}, {\"cell\": \"4 (9)\", \"bbox\": [443, 242, 461, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 258, 205, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 273, 63, 283]}, {\"cell\": \"29 (46)\", \"bbox\": [243, 273, 271, 283]}, {\"cell\": \"7 (39)\", \"bbox\": [343, 273, 366, 283]}, {\"cell\": \"22 (50)\", \"bbox\": [438, 273, 466, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 289, 118, 299]}, {\"cell\": \"5 (8)\", \"bbox\": [248, 289, 267, 299]}, {\"cell\": \"1 (5.5)\", \"bbox\": [342, 289, 367, 299]}, {\"cell\": \"4 (9)\", \"bbox\": [443, 289, 461, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 304, 41, 314]}, {\"cell\": \"7 (10)\", \"bbox\": [246, 304, 269, 314]}, {\"cell\": \"1 (5.5)\", \"bbox\": [342, 304, 367, 314]}, {\"cell\": \"6 (14)\", \"bbox\": [440, 304, 463, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 320, 46, 330]}, {\"cell\": \"12 (18)\", \"bbox\": [243, 320, 271, 330]}, {\"cell\": \"8 (44)\", \"bbox\": [343, 320, 366, 330]}, {\"cell\": \"4 (9)<sup>b</sup>\", \"bbox\": [441, 319, 463, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 335, 40, 345]}, {\"cell\": \"6 (13)\", \"bbox\": [246, 335, 269, 345]}, {\"cell\": \"1 (5.5)\", \"bbox\": [342, 335, 367, 345]}, {\"cell\": \"5 (11)\", \"bbox\": [440, 335, 463, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 351, 43, 361]}, {\"cell\": \"3 (5)\", \"bbox\": [248, 351, 267, 361]}, {\"cell\": \"-\", \"bbox\": [352, 351, 357, 361]}, {\"cell\": \"3 (7)\", \"bbox\": [443, 351, 461, 361]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1751069_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}93{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>First author/Year (Ref.)</b></td><td rowspan=\\\"2\\\"><b>Country</b></td><td rowspan=\\\"2\\\"><b>Molecular Technique</b></td><td colspan=\\\"2\\\"><b>Sarcoidosis</b></td><td colspan=\\\"2\\\"><b>Controls</b></td><td rowspan=\\\"2\\\"><b>OR (95% CI)</b></td></tr><tr><td><b>n/N</b></td><td><b>Type of microorganism</b></td><td><b>n/N</b></td><td><b>Type of microorganism</b></td></tr></thead><tbody><tr><td>Derler, 2009 [4]</td><td>Austria</td><td>Focus-floating microscopy and Borrelia-specific PCR DNA</td><td>13/35</td><td>Borrelia sp.</td><td>1/61</td><td>[EMPTY_CELL]</td><td>35.45 (4.38–287.16)</td></tr><tr><td>Ishihara, 1998 [65]</td><td>Japan</td><td>Dot-blot analysis (Dotblot Borrelia Kit)</td><td>15/46</td><td>Borrelia sp.</td><td>2/100</td><td>[EMPTY_CELL]</td><td>23.71 (5.14–109.46)</td></tr><tr><td>Martens, 1997 [66]</td><td>Germany</td><td>Western blot for Borrelia burgdorferi</td><td>1/60</td><td>Borrelia burgdorferi</td><td>27/1000</td><td>[EMPTY_CELL]</td><td>0.61 (0.08–4.57)</td></tr><tr><td>Lian, 1995 [67]</td><td>China</td><td>PCR for Borrelia burgdorferi DNA</td><td>6/49</td><td>Borrelia burgdorferi</td><td>2/28</td><td>[EMPTY_CELL]</td><td>1.81 (0.34–9.66)</td></tr><tr><td>Xu, 1996 [68]</td><td>China</td><td>In situ PCR for Borrelia burgdorferi DNA</td><td>0/23</td><td>-</td><td>0/23</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>Ishihara, 1996 [69]</td><td>Japan</td><td>Elisa and Dot-blot analysis for Borrelia sp.</td><td>1/38</td><td>Borrelia sp.</td><td>1/80</td><td>[EMPTY_CELL]</td><td>2.14 (0.13–35.08)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>First author/Year (Ref.)</b>\", \"bbox\": [1, 4, 55, 22]}, {\"cell\": \"<b>Country</b>\", \"bbox\": [66, 4, 93, 13]}, {\"cell\": \"<b>Molecular Technique</b>\", \"bbox\": [101, 4, 170, 13]}, {\"cell\": \"<b>Sarcoidosis</b>\", \"bbox\": [204, 4, 241, 13]}, {\"cell\": \"<b>Controls</b>\", \"bbox\": [309, 4, 338, 13]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [422, 4, 462, 13]}, {\"cell\": \"<b>n/N</b>\", \"bbox\": [204, 17, 218, 27]}, {\"cell\": \"<b>Type of microorganism</b>\", \"bbox\": [228, 17, 304, 27]}, {\"cell\": \"<b>n/N</b>\", \"bbox\": [309, 17, 323, 27]}, {\"cell\": \"<b>Type of microorganism</b>\", \"bbox\": [341, 17, 417, 27]}, {\"cell\": \"Derler, 2009 [4]\", \"bbox\": [1, 30, 51, 40]}, {\"cell\": \"Austria\", \"bbox\": [66, 30, 89, 40]}, {\"cell\": \"Focus-floating microscopy and Borrelia-specific PCR DNA\", \"bbox\": [101, 30, 199, 49]}, {\"cell\": \"13/35\", \"bbox\": [204, 30, 224, 40]}, {\"cell\": \"Borrelia sp.\", \"bbox\": [228, 30, 265, 40]}, {\"cell\": \"1/61\", \"bbox\": [309, 30, 325, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 30, 378, 40]}, {\"cell\": \"35.45 (4.38–287.16)\", \"bbox\": [422, 30, 484, 40]}, {\"cell\": \"Ishihara, 1998 [65]\", \"bbox\": [1, 53, 60, 63]}, {\"cell\": \"Japan\", \"bbox\": [66, 53, 86, 63]}, {\"cell\": \"Dot-blot analysis (Dotblot Borrelia Kit)\", \"bbox\": [101, 53, 168, 72]}, {\"cell\": \"15/46\", \"bbox\": [204, 53, 224, 63]}, {\"cell\": \"Borrelia sp.\", \"bbox\": [228, 53, 265, 63]}, {\"cell\": \"2/100\", \"bbox\": [309, 53, 329, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 53, 378, 63]}, {\"cell\": \"23.71 (5.14–109.46)\", \"bbox\": [422, 53, 484, 63]}, {\"cell\": \"Martens, 1997 [66]\", \"bbox\": [1, 76, 61, 86]}, {\"cell\": \"Germany\", \"bbox\": [66, 76, 97, 86]}, {\"cell\": \"Western blot for Borrelia burgdorferi\", \"bbox\": [101, 76, 165, 95]}, {\"cell\": \"1/60\", \"bbox\": [204, 76, 220, 86]}, {\"cell\": \"Borrelia burgdorferi\", \"bbox\": [228, 76, 292, 86]}, {\"cell\": \"27/1000\", \"bbox\": [309, 76, 337, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 76, 401, 86]}, {\"cell\": \"0.61 (0.08–4.57)\", \"bbox\": [422, 76, 473, 86]}, {\"cell\": \"Lian, 1995 [67]\", \"bbox\": [1, 99, 49, 109]}, {\"cell\": \"China\", \"bbox\": [66, 99, 86, 109]}, {\"cell\": \"PCR for Borrelia burgdorferi DNA\", \"bbox\": [101, 99, 156, 118]}, {\"cell\": \"6/49\", \"bbox\": [204, 99, 220, 109]}, {\"cell\": \"Borrelia burgdorferi\", \"bbox\": [228, 99, 292, 109]}, {\"cell\": \"2/28\", \"bbox\": [309, 99, 325, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 99, 405, 109]}, {\"cell\": \"1.81 (0.34–9.66)\", \"bbox\": [422, 99, 473, 109]}, {\"cell\": \"Xu, 1996 [68]\", \"bbox\": [1, 122, 44, 132]}, {\"cell\": \"China\", \"bbox\": [66, 122, 86, 132]}, {\"cell\": \"In situ PCR for Borrelia burgdorferi DNA\", \"bbox\": [101, 122, 182, 141]}, {\"cell\": \"0/23\", \"bbox\": [204, 122, 220, 132]}, {\"cell\": \"-\", \"bbox\": [228, 122, 232, 132]}, {\"cell\": \"0/23\", \"bbox\": [309, 122, 325, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 122, 346, 132]}, {\"cell\": \"-\", \"bbox\": [422, 122, 426, 132]}, {\"cell\": \"Ishihara, 1996 [69]\", \"bbox\": [1, 145, 60, 155]}, {\"cell\": \"Japan\", \"bbox\": [66, 145, 86, 155]}, {\"cell\": \"Elisa and Dot-blot analysis for Borrelia sp.\", \"bbox\": [101, 145, 175, 164]}, {\"cell\": \"1/38\", \"bbox\": [204, 145, 220, 155]}, {\"cell\": \"Borrelia sp.\", \"bbox\": [228, 145, 265, 155]}, {\"cell\": \"1/80\", \"bbox\": [309, 145, 325, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 145, 378, 155]}, {\"cell\": \"2.14 (0.13–35.08)\", \"bbox\": [422, 145, 477, 155]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5126827_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}94{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>SNP</b></td><td><b>Chromosome</b></td><td><b>Cytoband</b></td><td><b>Physical position</b></td><td><b>Nearest genes</b></td><td>[EMPTY_CELL]</td><td><b>Controls</b></td><td colspan=\\\"3\\\"><b>KD patients</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>No. (%)</b></td><td><b>No. (%)</b></td><td><b><i>p </i>value</b></td><td><b>Odds ratio (95% CI)</b></td></tr></thead><tbody><tr><td>rs154507</td><td>[EMPTY_CELL]</td><td>q23.2</td><td>122228806</td><td><i>SNX24</i></td><td>GG</td><td>146 (13.2)</td><td>38 (14.5)</td><td>0.755</td><td>1.17 (0.76–1.78)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GC</td><td>553 (50.0)</td><td>133 (50.8)</td><td>[EMPTY_CELL]</td><td>1.08 (0.80–1.45)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CC</td><td>408 (36.8)</td><td>91 (34.7)</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>rs27740</td><td>[EMPTY_CELL]</td><td>q23.2</td><td>122232671</td><td><i>SNX24</i></td><td>TT</td><td>156 (14.1)</td><td>38 (14.5)</td><td>0.867</td><td>1.08 (0.71–1.65)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>TA</td><td>547 (49.4)</td><td>133 (50.8)</td><td>[EMPTY_CELL]</td><td>1.08 (0.80–1.45)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>AA</td><td>404 (36.5)</td><td>91 (34.7)</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>rs26371</td><td>[EMPTY_CELL]</td><td>q23.2</td><td>122234424</td><td><i>SNX24</i></td><td>TT</td><td>217 (19.6)</td><td>56 (21.4)</td><td>0.690</td><td>1.19 (0.80–1.76)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>TC</td><td>573 (51.8)</td><td>137 (52.3)</td><td>[EMPTY_CELL]</td><td>1.10 (0.80–1.51)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CC</td><td>317 (28.7)</td><td>69 (26.3)</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>rs6595415</td><td>[EMPTY_CELL]</td><td>q23.2</td><td>122234657</td><td><i>SNX24</i></td><td>TT</td><td>151 (13.6)</td><td>38 (14.5)</td><td>0.842</td><td>1.12 (0.73–1.70)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>TC</td><td>530 (47.9)</td><td>128 (48.9)</td><td>[EMPTY_CELL]</td><td>1.07 (0.80–1.44)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CC</td><td>426 (38.5)</td><td>96 (36.6)</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>rs17149732</td><td>[EMPTY_CELL]</td><td>q23.2</td><td>122249811</td><td><i>SNX24</i></td><td>TT</td><td>146 (13.2)</td><td>37 (14.1)</td><td>0.784</td><td>1.14 (0.74–1.73)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>TG</td><td>530 (47.9)</td><td>129 (49.2)</td><td>[EMPTY_CELL]</td><td>1.09 (0.81–1.46)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GG</td><td>430 (38.9)</td><td>96 (36.6)</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>rs17149748</td><td>[EMPTY_CELL]</td><td>q23.2</td><td>122295266</td><td><i>SNX24</i></td><td>CC</td><td>150 (13.6)</td><td>37 (14.1)</td><td>0.710</td><td>1.13 (0.74–1.72)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CT</td><td>532 (48.1)</td><td>131 (50.0)</td><td>[EMPTY_CELL]</td><td>1.13 (0.84–1.51)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>TT</td><td>425 (38.4)</td><td>93 (35.5)</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>rs1038078</td><td>[EMPTY_CELL]</td><td>q23.2</td><td>122309550</td><td><i>SNX24</i></td><td>AA</td><td>147 (13.3)</td><td>37 (14.1)</td><td>0.676</td><td>1.15 (0.75–1.76)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>AG</td><td>526 (47.5)</td><td>130 (49.6)</td><td>[EMPTY_CELL]</td><td>1.13 (0.84–1.51)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GG</td><td>434 (39.2)</td><td>95 (36.3)</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>rs28891</td><td>[EMPTY_CELL]</td><td>q23.2</td><td>122311523</td><td><i>SNX24</i></td><td>CC</td><td>187 (16.9)</td><td>47 (17.9)</td><td>0.836</td><td>1.12 (0.75–1.67)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CT</td><td>554 (50.1)</td><td>133 (50.8)</td><td>[EMPTY_CELL]</td><td>1.07 (0.79–1.45)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>TT</td><td>366 (33.1)</td><td>82 (31.3)</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>rs6595423</td><td>[EMPTY_CELL]</td><td>q23.2</td><td>122341433</td><td><i>SNX24</i></td><td>CC</td><td>144 (13.0)</td><td>36 (13.7)</td><td>0.667</td><td>1.14 (0.75–1.75)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CT</td><td>524 (47.3)</td><td>130 (49.6)</td><td>[EMPTY_CELL]</td><td>1.13 (0.85–1.52)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>TT</td><td>439 (39.7)</td><td>96 (36.6)</td><td>[EMPTY_CELL]</td><td>1</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>SNP</b>\", \"bbox\": [12, 4, 27, 13]}, {\"cell\": \"<b>Chromosome</b>\", \"bbox\": [47, 4, 95, 13]}, {\"cell\": \"<b>Cytoband</b>\", \"bbox\": [104, 4, 139, 13]}, {\"cell\": \"<b>Physical position</b>\", \"bbox\": [148, 4, 208, 13]}, {\"cell\": \"<b>Nearest genes</b>\", \"bbox\": [216, 4, 268, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Controls</b>\", \"bbox\": [297, 4, 328, 13]}, {\"cell\": \"<b>KD patients</b>\", \"bbox\": [390, 4, 432, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No. (%)</b>\", \"bbox\": [299, 17, 326, 27]}, {\"cell\": \"<b>No. (%)</b>\", \"bbox\": [340, 17, 368, 27]}, {\"cell\": \"<b><i>p </i>value</b>\", \"bbox\": [379, 17, 406, 27]}, {\"cell\": \"<b>Odds ratio (95% CI)</b>\", \"bbox\": [415, 17, 484, 27]}, {\"cell\": \"rs154507\", \"bbox\": [4, 30, 35, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 30, 74, 40]}, {\"cell\": \"q23.2\", \"bbox\": [112, 30, 131, 40]}, {\"cell\": \"122228806\", \"bbox\": [160, 30, 196, 40]}, {\"cell\": \"<i>SNX24</i>\", \"bbox\": [231, 31, 253, 38]}, {\"cell\": \"GG\", \"bbox\": [276, 30, 288, 40]}, {\"cell\": \"146 (13.2)\", \"bbox\": [296, 30, 329, 40]}, {\"cell\": \"38 (14.5)\", \"bbox\": [340, 30, 369, 40]}, {\"cell\": \"0.755\", \"bbox\": [383, 30, 402, 40]}, {\"cell\": \"1.17 (0.76–1.78)\", \"bbox\": [424, 30, 475, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GC\", \"bbox\": [276, 44, 288, 54]}, {\"cell\": \"553 (50.0)\", \"bbox\": [296, 44, 329, 54]}, {\"cell\": \"133 (50.8)\", \"bbox\": [338, 44, 370, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.08 (0.80–1.45)\", \"bbox\": [424, 44, 475, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC\", \"bbox\": [276, 58, 287, 68]}, {\"cell\": \"408 (36.8)\", \"bbox\": [296, 58, 329, 68]}, {\"cell\": \"91 (34.7)\", \"bbox\": [340, 58, 369, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 58, 452, 68]}, {\"cell\": \"rs27740\", \"bbox\": [6, 72, 33, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 72, 74, 82]}, {\"cell\": \"q23.2\", \"bbox\": [112, 72, 131, 82]}, {\"cell\": \"122232671\", \"bbox\": [160, 72, 196, 82]}, {\"cell\": \"<i>SNX24</i>\", \"bbox\": [231, 72, 253, 80]}, {\"cell\": \"TT\", \"bbox\": [277, 72, 287, 82]}, {\"cell\": \"156 (14.1)\", \"bbox\": [296, 72, 329, 82]}, {\"cell\": \"38 (14.5)\", \"bbox\": [340, 72, 369, 82]}, {\"cell\": \"0.867\", \"bbox\": [383, 72, 402, 82]}, {\"cell\": \"1.08 (0.71–1.65)\", \"bbox\": [424, 72, 475, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TA\", \"bbox\": [277, 86, 287, 96]}, {\"cell\": \"547 (49.4)\", \"bbox\": [296, 86, 329, 96]}, {\"cell\": \"133 (50.8)\", \"bbox\": [338, 86, 370, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.08 (0.80–1.45)\", \"bbox\": [424, 86, 475, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA\", \"bbox\": [276, 100, 288, 110]}, {\"cell\": \"404 (36.5)\", \"bbox\": [296, 100, 329, 110]}, {\"cell\": \"91 (34.7)\", \"bbox\": [340, 100, 369, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 100, 452, 110]}, {\"cell\": \"rs26371\", \"bbox\": [6, 114, 33, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 114, 74, 124]}, {\"cell\": \"q23.2\", \"bbox\": [112, 114, 131, 124]}, {\"cell\": \"122234424\", \"bbox\": [160, 114, 196, 124]}, {\"cell\": \"<i>SNX24</i>\", \"bbox\": [231, 114, 253, 122]}, {\"cell\": \"TT\", \"bbox\": [277, 114, 287, 124]}, {\"cell\": \"217 (19.6)\", \"bbox\": [296, 114, 329, 124]}, {\"cell\": \"56 (21.4)\", \"bbox\": [340, 114, 369, 124]}, {\"cell\": \"0.690\", \"bbox\": [383, 114, 402, 124]}, {\"cell\": \"1.19 (0.80–1.76)\", \"bbox\": [424, 114, 475, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TC\", \"bbox\": [277, 128, 287, 138]}, {\"cell\": \"573 (51.8)\", \"bbox\": [296, 128, 329, 138]}, {\"cell\": \"137 (52.3)\", \"bbox\": [338, 128, 370, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.10 (0.80–1.51)\", \"bbox\": [424, 128, 475, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC\", \"bbox\": [276, 142, 287, 152]}, {\"cell\": \"317 (28.7)\", \"bbox\": [296, 142, 329, 152]}, {\"cell\": \"69 (26.3)\", \"bbox\": [340, 142, 369, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 142, 452, 152]}, {\"cell\": \"rs6595415\", \"bbox\": [2, 156, 36, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 156, 74, 166]}, {\"cell\": \"q23.2\", \"bbox\": [112, 156, 131, 166]}, {\"cell\": \"122234657\", \"bbox\": [160, 156, 196, 166]}, {\"cell\": \"<i>SNX24</i>\", \"bbox\": [231, 156, 253, 164]}, {\"cell\": \"TT\", \"bbox\": [277, 156, 287, 166]}, {\"cell\": \"151 (13.6)\", \"bbox\": [296, 156, 329, 166]}, {\"cell\": \"38 (14.5)\", \"bbox\": [340, 156, 369, 166]}, {\"cell\": \"0.842\", \"bbox\": [383, 156, 402, 166]}, {\"cell\": \"1.12 (0.73–1.70)\", \"bbox\": [424, 156, 475, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TC\", \"bbox\": [277, 170, 287, 180]}, {\"cell\": \"530 (47.9)\", \"bbox\": [296, 170, 329, 180]}, {\"cell\": \"128 (48.9)\", \"bbox\": [338, 170, 370, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.07 (0.80–1.44)\", \"bbox\": [424, 170, 475, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC\", \"bbox\": [276, 184, 287, 194]}, {\"cell\": \"426 (38.5)\", \"bbox\": [296, 184, 329, 194]}, {\"cell\": \"96 (36.6)\", \"bbox\": [340, 184, 369, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 184, 452, 194]}, {\"cell\": \"rs17149732\", \"bbox\": [1, 198, 38, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 198, 74, 208]}, {\"cell\": \"q23.2\", \"bbox\": [112, 198, 131, 208]}, {\"cell\": \"122249811\", \"bbox\": [160, 198, 196, 208]}, {\"cell\": \"<i>SNX24</i>\", \"bbox\": [231, 198, 253, 206]}, {\"cell\": \"TT\", \"bbox\": [277, 198, 287, 208]}, {\"cell\": \"146 (13.2)\", \"bbox\": [296, 198, 329, 208]}, {\"cell\": \"37 (14.1)\", \"bbox\": [340, 198, 369, 208]}, {\"cell\": \"0.784\", \"bbox\": [383, 198, 402, 208]}, {\"cell\": \"1.14 (0.74–1.73)\", \"bbox\": [424, 198, 475, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TG\", \"bbox\": [277, 212, 287, 222]}, {\"cell\": \"530 (47.9)\", \"bbox\": [296, 212, 329, 222]}, {\"cell\": \"129 (49.2)\", \"bbox\": [338, 212, 370, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.09 (0.81–1.46)\", \"bbox\": [424, 212, 475, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [276, 226, 288, 236]}, {\"cell\": \"430 (38.9)\", \"bbox\": [296, 226, 329, 236]}, {\"cell\": \"96 (36.6)\", \"bbox\": [340, 226, 369, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 226, 452, 236]}, {\"cell\": \"rs17149748\", \"bbox\": [1, 240, 38, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 240, 74, 250]}, {\"cell\": \"q23.2\", \"bbox\": [112, 240, 131, 250]}, {\"cell\": \"122295266\", \"bbox\": [160, 240, 196, 250]}, {\"cell\": \"<i>SNX24</i>\", \"bbox\": [231, 241, 253, 248]}, {\"cell\": \"CC\", \"bbox\": [276, 240, 287, 250]}, {\"cell\": \"150 (13.6)\", \"bbox\": [296, 240, 329, 250]}, {\"cell\": \"37 (14.1)\", \"bbox\": [340, 240, 369, 250]}, {\"cell\": \"0.710\", \"bbox\": [383, 240, 402, 250]}, {\"cell\": \"1.13 (0.74–1.72)\", \"bbox\": [424, 240, 475, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [277, 254, 287, 264]}, {\"cell\": \"532 (48.1)\", \"bbox\": [296, 254, 329, 264]}, {\"cell\": \"131 (50.0)\", \"bbox\": [338, 254, 370, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.13 (0.84–1.51)\", \"bbox\": [424, 254, 475, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [277, 268, 287, 278]}, {\"cell\": \"425 (38.4)\", \"bbox\": [296, 268, 329, 278]}, {\"cell\": \"93 (35.5)\", \"bbox\": [340, 268, 369, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 268, 452, 278]}, {\"cell\": \"rs1038078\", \"bbox\": [2, 282, 36, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 282, 74, 292]}, {\"cell\": \"q23.2\", \"bbox\": [112, 282, 131, 292]}, {\"cell\": \"122309550\", \"bbox\": [160, 282, 196, 292]}, {\"cell\": \"<i>SNX24</i>\", \"bbox\": [231, 283, 253, 290]}, {\"cell\": \"AA\", \"bbox\": [276, 282, 288, 292]}, {\"cell\": \"147 (13.3)\", \"bbox\": [296, 282, 329, 292]}, {\"cell\": \"37 (14.1)\", \"bbox\": [340, 282, 369, 292]}, {\"cell\": \"0.676\", \"bbox\": [383, 282, 402, 292]}, {\"cell\": \"1.15 (0.75–1.76)\", \"bbox\": [424, 282, 475, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AG\", \"bbox\": [276, 296, 288, 306]}, {\"cell\": \"526 (47.5)\", \"bbox\": [296, 296, 329, 306]}, {\"cell\": \"130 (49.6)\", \"bbox\": [338, 296, 370, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.13 (0.84–1.51)\", \"bbox\": [424, 296, 475, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [276, 310, 288, 320]}, {\"cell\": \"434 (39.2)\", \"bbox\": [296, 310, 329, 320]}, {\"cell\": \"95 (36.3)\", \"bbox\": [340, 310, 369, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 310, 452, 320]}, {\"cell\": \"rs28891\", \"bbox\": [6, 324, 33, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 324, 74, 334]}, {\"cell\": \"q23.2\", \"bbox\": [112, 324, 131, 334]}, {\"cell\": \"122311523\", \"bbox\": [160, 324, 196, 334]}, {\"cell\": \"<i>SNX24</i>\", \"bbox\": [231, 324, 253, 332]}, {\"cell\": \"CC\", \"bbox\": [276, 324, 287, 334]}, {\"cell\": \"187 (16.9)\", \"bbox\": [296, 324, 329, 334]}, {\"cell\": \"47 (17.9)\", \"bbox\": [340, 324, 369, 334]}, {\"cell\": \"0.836\", \"bbox\": [383, 324, 402, 334]}, {\"cell\": \"1.12 (0.75–1.67)\", \"bbox\": [424, 324, 475, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [277, 338, 287, 348]}, {\"cell\": \"554 (50.1)\", \"bbox\": [296, 338, 329, 348]}, {\"cell\": \"133 (50.8)\", \"bbox\": [338, 338, 370, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.07 (0.79–1.45)\", \"bbox\": [424, 338, 475, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [277, 352, 287, 362]}, {\"cell\": \"366 (33.1)\", \"bbox\": [296, 352, 329, 362]}, {\"cell\": \"82 (31.3)\", \"bbox\": [340, 352, 369, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 352, 452, 362]}, {\"cell\": \"rs6595423\", \"bbox\": [2, 366, 36, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 366, 74, 376]}, {\"cell\": \"q23.2\", \"bbox\": [112, 366, 131, 376]}, {\"cell\": \"122341433\", \"bbox\": [160, 366, 196, 376]}, {\"cell\": \"<i>SNX24</i>\", \"bbox\": [231, 366, 253, 374]}, {\"cell\": \"CC\", \"bbox\": [276, 366, 287, 376]}, {\"cell\": \"144 (13.0)\", \"bbox\": [296, 366, 329, 376]}, {\"cell\": \"36 (13.7)\", \"bbox\": [340, 366, 369, 376]}, {\"cell\": \"0.667\", \"bbox\": [383, 366, 402, 376]}, {\"cell\": \"1.14 (0.75–1.75)\", \"bbox\": [424, 366, 475, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [277, 380, 287, 390]}, {\"cell\": \"524 (47.3)\", \"bbox\": [296, 380, 329, 390]}, {\"cell\": \"130 (49.6)\", \"bbox\": [338, 380, 370, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.13 (0.85–1.52)\", \"bbox\": [424, 380, 475, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [277, 394, 287, 404]}, {\"cell\": \"439 (39.7)\", \"bbox\": [296, 394, 329, 404]}, {\"cell\": \"96 (36.6)\", \"bbox\": [340, 394, 369, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [447, 394, 452, 404]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4176999_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}95{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Outcomes</b></td></tr><tr><td><b>Patient characteristics</b></td><td><b>Intervention</b></td><td><b>Provider</b></td><td><b>Drivers / Barriers</b></td><td><b>Health Literacy</b></td><td><b>Health Literacy Outcome<sup>*</sup></b></td><td><b>Behaviour Change</b></td><td><b>Cost Outcome</b></td></tr></thead><tbody><tr><td>Age</td><td>Information – written, video, oral, pictures,</td><td>[EMPTY_CELL]</td><td><b>Individual</b></td><td><b>Functional health literacy</b></td><td>Disease knowledge,</td><td><b>S</b>moking status</td><td>Intervention costs, Economic evaluation</td></tr><tr><td>Gender</td><td>Web based</td><td>[EMPTY_CELL]</td><td>Language</td><td>Health related knowledge</td><td>Health related skills,</td><td><b>N</b>utrition</td><td>[EMPTY_CELL]</td></tr><tr><td>Ethnicity</td><td>Group self-management support, goal setting or education</td><td>[EMPTY_CELL]</td><td>Knowledge/beliefs</td><td>Understanding</td><td>Health literacy score: TOFHLA, REALM, HALS, NVS</td><td><b>A</b>lcohol use</td><td>[EMPTY_CELL]</td></tr><tr><td>Socio Economic Status</td><td>Individual Motivational interviewing or Coaching</td><td>[EMPTY_CELL]</td><td>Ideologies</td><td><b>Interactive health literacy</b></td><td>Change in:</td><td><b>P</b>hysical activity</td><td>[EMPTY_CELL]</td></tr><tr><td>Education level</td><td>Telephone based (eg coaching)</td><td>[EMPTY_CELL]</td><td>Experiences</td><td>Motivation</td><td>Readiness to change</td><td><b>W</b>eight</td><td>[EMPTY_CELL]</td></tr><tr><td>Cognitive ability</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Medical conditions</td><td>Behavioural intentions</td><td>Attitudes</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Cultural factors</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Social/community</b></td><td>Empowerment</td><td>Knowledge</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Medical conditions</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Environment</td><td><b>Critical health literacy</b></td><td>Patient activation</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Lifestyle risks</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Social support</td><td>Cognitive skills</td><td>Measures of self-efficacy</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Social norms</td><td>Social skills</td><td>Self management score</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Networks</td><td>Personal skills</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Culture/Traditions</td><td>Self-efficacy</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Health system/provider</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Accessibility</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Interpreters</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Incentives</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Continuity of care</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Time / workload</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Communication skills</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Training</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Providers no.</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Provider types</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Up-to-date verbal and written information</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Inter-sectoral</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Outcomes</b>\", \"bbox\": [521, 4, 558, 13]}, {\"cell\": \"<b>Patient characteristics</b>\", \"bbox\": [1, 17, 78, 27]}, {\"cell\": \"<b>Intervention</b>\", \"bbox\": [84, 17, 128, 27]}, {\"cell\": \"<b>Provider</b>\", \"bbox\": [182, 17, 214, 27]}, {\"cell\": \"<b>Drivers / Barriers</b>\", \"bbox\": [262, 17, 322, 27]}, {\"cell\": \"<b>Health Literacy</b>\", \"bbox\": [344, 17, 398, 27]}, {\"cell\": \"<b>Health Literacy Outcome<sup>*</sup></b>\", \"bbox\": [434, 17, 488, 36]}, {\"cell\": \"<b>Behaviour Change</b>\", \"bbox\": [519, 17, 556, 36]}, {\"cell\": \"<b>Cost Outcome</b>\", \"bbox\": [577, 17, 628, 27]}, {\"cell\": \"Age\", \"bbox\": [1, 39, 15, 49]}, {\"cell\": \"Information – written, video, oral, pictures,\", \"bbox\": [84, 39, 177, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 39, 206, 49]}, {\"cell\": \"<b>Individual</b>\", \"bbox\": [262, 39, 300, 49]}, {\"cell\": \"<b>Functional health literacy</b>\", \"bbox\": [344, 39, 409, 58]}, {\"cell\": \"Disease knowledge,\", \"bbox\": [434, 39, 499, 49]}, {\"cell\": \"<b>S</b>moking status\", \"bbox\": [519, 39, 570, 49]}, {\"cell\": \"Intervention costs, Economic evaluation\", \"bbox\": [577, 39, 645, 58]}, {\"cell\": \"Gender\", \"bbox\": [1, 62, 26, 72]}, {\"cell\": \"Web based\", \"bbox\": [84, 62, 122, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 62, 203, 72]}, {\"cell\": \"Language\", \"bbox\": [262, 62, 296, 72]}, {\"cell\": \"Health related knowledge\", \"bbox\": [344, 62, 429, 72]}, {\"cell\": \"Health related skills,\", \"bbox\": [434, 62, 499, 72]}, {\"cell\": \"<b>N</b>utrition\", \"bbox\": [519, 62, 550, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ethnicity\", \"bbox\": [1, 76, 30, 86]}, {\"cell\": \"Group self-management support, goal setting or education\", \"bbox\": [84, 76, 164, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 76, 224, 86]}, {\"cell\": \"Knowledge/beliefs\", \"bbox\": [262, 76, 323, 86]}, {\"cell\": \"Understanding\", \"bbox\": [344, 76, 393, 86]}, {\"cell\": \"Health literacy score: TOFHLA, REALM, HALS, NVS\", \"bbox\": [434, 76, 502, 104]}, {\"cell\": \"<b>A</b>lcohol use\", \"bbox\": [519, 76, 559, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Socio Economic Status\", \"bbox\": [1, 107, 75, 117]}, {\"cell\": \"Individual Motivational interviewing or Coaching\", \"bbox\": [84, 107, 167, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ideologies\", \"bbox\": [262, 107, 297, 117]}, {\"cell\": \"<b>Interactive health literacy</b>\", \"bbox\": [344, 107, 409, 126]}, {\"cell\": \"Change in:\", \"bbox\": [434, 107, 471, 117]}, {\"cell\": \"<b>P</b>hysical activity\", \"bbox\": [519, 107, 571, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education level\", \"bbox\": [1, 130, 51, 140]}, {\"cell\": \"Telephone based (eg coaching)\", \"bbox\": [84, 130, 141, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 130, 213, 140]}, {\"cell\": \"Experiences\", \"bbox\": [262, 130, 302, 140]}, {\"cell\": \"Motivation\", \"bbox\": [344, 130, 380, 140]}, {\"cell\": \"Readiness to change\", \"bbox\": [434, 130, 503, 140]}, {\"cell\": \"<b>W</b>eight\", \"bbox\": [519, 130, 544, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cognitive ability\", \"bbox\": [1, 153, 54, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 153, 242, 163]}, {\"cell\": \"Medical conditions\", \"bbox\": [262, 153, 325, 163]}, {\"cell\": \"Behavioural intentions\", \"bbox\": [344, 153, 417, 163]}, {\"cell\": \"Attitudes\", \"bbox\": [434, 153, 465, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cultural factors\", \"bbox\": [1, 167, 50, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 167, 257, 177]}, {\"cell\": \"<b>Social/community</b>\", \"bbox\": [262, 167, 328, 177]}, {\"cell\": \"Empowerment\", \"bbox\": [344, 167, 393, 177]}, {\"cell\": \"Knowledge\", \"bbox\": [434, 167, 472, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medical conditions\", \"bbox\": [1, 181, 63, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Environment\", \"bbox\": [262, 181, 305, 191]}, {\"cell\": \"<b>Critical health literacy</b>\", \"bbox\": [344, 181, 425, 191]}, {\"cell\": \"Patient activation\", \"bbox\": [434, 181, 492, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lifestyle risks\", \"bbox\": [1, 195, 43, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Social support\", \"bbox\": [262, 195, 309, 205]}, {\"cell\": \"Cognitive skills\", \"bbox\": [344, 195, 393, 205]}, {\"cell\": \"Measures of self-efficacy\", \"bbox\": [434, 195, 514, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Social norms\", \"bbox\": [262, 209, 305, 219]}, {\"cell\": \"Social skills\", \"bbox\": [344, 209, 381, 219]}, {\"cell\": \"Self management score\", \"bbox\": [434, 209, 512, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Networks\", \"bbox\": [262, 223, 294, 233]}, {\"cell\": \"Personal skills\", \"bbox\": [344, 223, 389, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Culture/Traditions\", \"bbox\": [262, 237, 321, 247]}, {\"cell\": \"Self-efficacy\", \"bbox\": [344, 237, 383, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Health system/provider\", \"bbox\": [262, 251, 339, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Accessibility</b>\", \"bbox\": [262, 265, 308, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Interpreters\", \"bbox\": [262, 279, 301, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incentives\", \"bbox\": [262, 293, 296, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Continuity of care\", \"bbox\": [262, 307, 321, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Time / workload\", \"bbox\": [262, 321, 317, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Communication skills\", \"bbox\": [262, 335, 332, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Training</b>\", \"bbox\": [262, 349, 294, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Providers no.\", \"bbox\": [262, 363, 305, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Provider types\", \"bbox\": [262, 377, 310, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Up-to-date verbal and written information\", \"bbox\": [262, 391, 335, 410]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Inter-sectoral\", \"bbox\": [262, 414, 305, 424]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3515410_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}96{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Study</b></td><td><b>BD group</b></td><td><b>Control group</b></td><td rowspan=\\\"2\\\"><b>Effect size</b></td></tr><tr><td><b>Mean (SD)</b></td><td><b>Mean (SD)</b></td></tr></thead><tbody><tr><td>Ancin et al. (2010)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 101</td><td>[EMPTY_CELL]</td></tr><tr><td>False alarm rate, block 3</td><td>[EMPTY_CELL]</td><td>8.6 (11.6)</td><td>0.167</td></tr><tr><td>Response criterion, block 3</td><td>[EMPTY_CELL]</td><td>0.53 (0.87)</td><td>0.15</td></tr><tr><td>Brooks et al. (2010)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 11</td><td>[EMPTY_CELL]</td></tr><tr><td>Commission errors</td><td>[EMPTY_CELL]</td><td>10.5 (5.5)</td><td>0.68</td></tr><tr><td>Fleck et al. (2005)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 28</td><td>[EMPTY_CELL]</td></tr><tr><td>Response criterion</td><td>[EMPTY_CELL]</td><td>0.52 (0.20)</td><td>-0.14</td></tr><tr><td>Iosifescu et al. (2009)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 10</td><td>[EMPTY_CELL]</td></tr><tr><td>Commission errors</td><td>[EMPTY_CELL]</td><td>7.50 (4.93)</td><td>1.01</td></tr><tr><td>Kolur et al. (2006)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 30</td><td>[EMPTY_CELL]</td></tr><tr><td>Commission error</td><td>[EMPTY_CELL]</td><td>12.73 (7.15)</td><td>0.47</td></tr><tr><td>Malloy-Diniz et al. (2011)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 94</td><td>[EMPTY_CELL]</td></tr><tr><td>Commission errors</td><td>[EMPTY_CELL]</td><td>10.26 (7.2)</td><td>0.74</td></tr><tr><td>Martino et al. (2008)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 20</td><td>[EMPTY_CELL]</td></tr><tr><td>False alarm rate</td><td>[EMPTY_CELL]</td><td>4.0 (3.4)</td><td>0.57</td></tr><tr><td>Strakowski et al. (2010)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 35</td><td>[EMPTY_CELL]</td></tr><tr><td>Response criterion</td><td>[EMPTY_CELL]</td><td>0.67 (0.30)</td><td>0.07</td></tr><tr><td>Swann et al. (2003)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 35</td><td>[EMPTY_CELL]</td></tr><tr><td>DMT commission errors</td><td>[EMPTY_CELL]</td><td>17.9 (15.5)</td><td>0.19</td></tr><tr><td>Swann et al. (2004)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 16</td><td>[EMPTY_CELL]</td></tr><tr><td>DMT commission errors</td><td>[EMPTY_CELL]</td><td>18.4 (15.6)</td><td>-0.44</td></tr><tr><td>Thompson et al. (2009)</td><td>[EMPTY_CELL]</td><td><i>N</i> = 63</td><td>[EMPTY_CELL]</td></tr><tr><td>Commission errors</td><td>[EMPTY_CELL]</td><td>1.73 (2.23)</td><td>0.33</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study</b>\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"<b>BD group</b>\", \"bbox\": [102, 4, 136, 13]}, {\"cell\": \"<b>Control group</b>\", \"bbox\": [146, 4, 195, 13]}, {\"cell\": \"<b>Effect size</b>\", \"bbox\": [202, 4, 236, 13]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [100, 17, 138, 27]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [152, 17, 189, 27]}, {\"cell\": \"Ancin et al. (2010)\", \"bbox\": [1, 30, 60, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 30, 132, 40]}, {\"cell\": \"<i>N</i> = 101\", \"bbox\": [158, 30, 184, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"False alarm rate, block 3\", \"bbox\": [4, 44, 83, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 44, 136, 54]}, {\"cell\": \"8.6 (11.6)\", \"bbox\": [155, 44, 186, 54]}, {\"cell\": \"0.167\", \"bbox\": [210, 44, 228, 54]}, {\"cell\": \"Response criterion, block 3\", \"bbox\": [4, 58, 91, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 58, 136, 68]}, {\"cell\": \"0.53 (0.87)\", \"bbox\": [154, 58, 188, 68]}, {\"cell\": \"0.15\", \"bbox\": [212, 58, 226, 68]}, {\"cell\": \"Brooks et al. (2010)\", \"bbox\": [1, 72, 63, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 72, 130, 82]}, {\"cell\": \"<i>N</i> = 11\", \"bbox\": [159, 72, 182, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Commission errors\", \"bbox\": [4, 86, 65, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 86, 134, 96]}, {\"cell\": \"10.5 (5.5)\", \"bbox\": [155, 86, 186, 96]}, {\"cell\": \"0.68\", \"bbox\": [212, 86, 226, 96]}, {\"cell\": \"Fleck et al. (2005)\", \"bbox\": [1, 100, 58, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 100, 130, 110]}, {\"cell\": \"<i>N</i> = 28\", \"bbox\": [159, 100, 182, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Response criterion\", \"bbox\": [4, 114, 65, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 114, 136, 124]}, {\"cell\": \"0.52 (0.20)\", \"bbox\": [154, 114, 188, 124]}, {\"cell\": \"-0.14\", \"bbox\": [209, 114, 229, 124]}, {\"cell\": \"Iosifescu et al. (2009)\", \"bbox\": [1, 128, 69, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 128, 130, 138]}, {\"cell\": \"<i>N</i> = 10\", \"bbox\": [159, 128, 182, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Commission errors\", \"bbox\": [4, 142, 65, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 142, 138, 152]}, {\"cell\": \"7.50 (4.93)\", \"bbox\": [154, 142, 188, 152]}, {\"cell\": \"1.01\", \"bbox\": [212, 142, 226, 152]}, {\"cell\": \"Kolur et al. (2006)\", \"bbox\": [1, 156, 58, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 156, 130, 166]}, {\"cell\": \"<i>N</i> = 30\", \"bbox\": [159, 156, 182, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Commission error\", \"bbox\": [4, 170, 62, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 170, 140, 180]}, {\"cell\": \"12.73 (7.15)\", \"bbox\": [152, 170, 190, 180]}, {\"cell\": \"0.47\", \"bbox\": [212, 170, 226, 180]}, {\"cell\": \"Malloy-Diniz et al. (2011)\", \"bbox\": [1, 184, 81, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 184, 130, 194]}, {\"cell\": \"<i>N</i> = 94\", \"bbox\": [159, 184, 182, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Commission errors\", \"bbox\": [4, 198, 65, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 198, 138, 208]}, {\"cell\": \"10.26 (7.2)\", \"bbox\": [154, 198, 188, 208]}, {\"cell\": \"0.74\", \"bbox\": [212, 198, 226, 208]}, {\"cell\": \"Martino et al. (2008)\", \"bbox\": [1, 212, 67, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 212, 130, 222]}, {\"cell\": \"<i>N</i> = 20\", \"bbox\": [159, 212, 182, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"False alarm rate\", \"bbox\": [4, 226, 56, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 226, 132, 236]}, {\"cell\": \"4.0 (3.4)\", \"bbox\": [157, 226, 184, 236]}, {\"cell\": \"0.57\", \"bbox\": [212, 226, 226, 236]}, {\"cell\": \"Strakowski et al. (2010)\", \"bbox\": [1, 240, 75, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 240, 130, 250]}, {\"cell\": \"<i>N</i> = 35\", \"bbox\": [159, 240, 182, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Response criterion\", \"bbox\": [4, 254, 64, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 254, 136, 264]}, {\"cell\": \"0.67 (0.30)\", \"bbox\": [154, 254, 188, 264]}, {\"cell\": \"0.07\", \"bbox\": [212, 254, 226, 264]}, {\"cell\": \"Swann et al. (2003)\", \"bbox\": [1, 268, 63, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 268, 130, 278]}, {\"cell\": \"<i>N</i> = 35\", \"bbox\": [159, 268, 182, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DMT commission errors\", \"bbox\": [4, 282, 82, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 282, 136, 292]}, {\"cell\": \"17.9 (15.5)\", \"bbox\": [154, 282, 188, 292]}, {\"cell\": \"0.19\", \"bbox\": [212, 282, 226, 292]}, {\"cell\": \"Swann et al. (2004)\", \"bbox\": [1, 296, 63, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 296, 130, 306]}, {\"cell\": \"<i>N</i> = 16\", \"bbox\": [159, 296, 182, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DMT commission errors\", \"bbox\": [4, 310, 82, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 310, 134, 320]}, {\"cell\": \"18.4 (15.6)\", \"bbox\": [154, 310, 188, 320]}, {\"cell\": \"-0.44\", \"bbox\": [209, 310, 229, 320]}, {\"cell\": \"Thompson et al. (2009)\", \"bbox\": [0, 324, 76, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 324, 130, 334]}, {\"cell\": \"<i>N</i> = 63\", \"bbox\": [159, 324, 182, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Commission errors\", \"bbox\": [4, 338, 65, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 338, 136, 348]}, {\"cell\": \"1.73 (2.23)\", \"bbox\": [154, 338, 188, 348]}, {\"cell\": \"0.33\", \"bbox\": [212, 338, 226, 348]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4424222_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}97{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>AUC</b></td><td><b>95% CI</b></td><td><b><i>P</i> Value</b></td></tr></thead><tbody><tr><td><b>Training set</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Risk score</td><td>0.618</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>CEA</td><td>0.582</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>CA19-9</td><td>0.571</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>CA72-4</td><td>0.544</td><td>[EMPTY_CELL]</td><td>0.036</td></tr><tr><td>CEA+CA19-9</td><td>0.573</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>CEA+CA72-4</td><td>0.571</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>CA19-9+CA72-4</td><td>0.538</td><td>[EMPTY_CELL]</td><td>0.072</td></tr><tr><td><b>Validation set</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Risk score</td><td>0.625</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>CEA</td><td>0.548</td><td>[EMPTY_CELL]</td><td>0.024</td></tr><tr><td>CA19-9</td><td>0.581</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>CA72-4</td><td>0.521</td><td>[EMPTY_CELL]</td><td>0.328</td></tr><tr><td>CEA+CA19-9</td><td>0.569</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>CEA+CA72-4</td><td>0.598</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>CA19-9+CA72-4</td><td>0.538</td><td>[EMPTY_CELL]</td><td>0.071</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>AUC</b>\", \"bbox\": [175, 6, 199, 16]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [293, 6, 329, 16]}, {\"cell\": \"<b><i>P</i> Value</b>\", \"bbox\": [418, 6, 452, 16]}, {\"cell\": \"<b>Training set</b>\", \"bbox\": [3, 23, 57, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Risk score\", \"bbox\": [3, 40, 47, 51]}, {\"cell\": \"0.618\", \"bbox\": [175, 40, 199, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 40, 339, 51]}, {\"cell\": \"<0.001\", \"bbox\": [420, 40, 450, 51]}, {\"cell\": \"CEA\", \"bbox\": [3, 57, 26, 68]}, {\"cell\": \"0.582\", \"bbox\": [175, 57, 199, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 57, 339, 68]}, {\"cell\": \"<0.001\", \"bbox\": [420, 57, 450, 68]}, {\"cell\": \"CA19-9\", \"bbox\": [3, 74, 38, 85]}, {\"cell\": \"0.571\", \"bbox\": [175, 74, 199, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 74, 339, 85]}, {\"cell\": \"0.001\", \"bbox\": [423, 74, 447, 85]}, {\"cell\": \"CA72-4\", \"bbox\": [3, 91, 38, 102]}, {\"cell\": \"0.544\", \"bbox\": [175, 91, 199, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 91, 339, 102]}, {\"cell\": \"0.036\", \"bbox\": [423, 91, 447, 102]}, {\"cell\": \"CEA+CA19-9\", \"bbox\": [3, 108, 63, 119]}, {\"cell\": \"0.573\", \"bbox\": [175, 108, 199, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 108, 339, 119]}, {\"cell\": \"0.001\", \"bbox\": [423, 108, 447, 119]}, {\"cell\": \"CEA+CA72-4\", \"bbox\": [3, 125, 63, 136]}, {\"cell\": \"0.571\", \"bbox\": [175, 125, 199, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 125, 339, 136]}, {\"cell\": \"0.001\", \"bbox\": [423, 125, 447, 136]}, {\"cell\": \"CA19-9+CA72-4\", \"bbox\": [3, 142, 76, 153]}, {\"cell\": \"0.538\", \"bbox\": [175, 142, 199, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 142, 339, 153]}, {\"cell\": \"0.072\", \"bbox\": [423, 142, 447, 153]}, {\"cell\": \"<b>Validation set</b>\", \"bbox\": [3, 159, 64, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Risk score\", \"bbox\": [3, 175, 47, 187]}, {\"cell\": \"0.625\", \"bbox\": [175, 175, 199, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 175, 339, 187]}, {\"cell\": \"<0.001\", \"bbox\": [420, 175, 450, 187]}, {\"cell\": \"CEA\", \"bbox\": [3, 192, 26, 203]}, {\"cell\": \"0.548\", \"bbox\": [175, 192, 199, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 192, 339, 203]}, {\"cell\": \"0.024\", \"bbox\": [423, 192, 447, 203]}, {\"cell\": \"CA19-9\", \"bbox\": [3, 209, 38, 220]}, {\"cell\": \"0.581\", \"bbox\": [175, 209, 199, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 209, 339, 220]}, {\"cell\": \"<0.001\", \"bbox\": [420, 209, 450, 220]}, {\"cell\": \"CA72-4\", \"bbox\": [3, 226, 38, 237]}, {\"cell\": \"0.521\", \"bbox\": [175, 226, 199, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 226, 339, 237]}, {\"cell\": \"0.328\", \"bbox\": [423, 226, 447, 237]}, {\"cell\": \"CEA+CA19-9\", \"bbox\": [3, 243, 63, 254]}, {\"cell\": \"0.569\", \"bbox\": [175, 243, 199, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 243, 339, 254]}, {\"cell\": \"0.001\", \"bbox\": [423, 243, 447, 254]}, {\"cell\": \"CEA+CA72-4\", \"bbox\": [3, 260, 63, 271]}, {\"cell\": \"0.598\", \"bbox\": [175, 260, 199, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 260, 339, 271]}, {\"cell\": \"<0.001\", \"bbox\": [420, 260, 450, 271]}, {\"cell\": \"CA19-9+CA72-4\", \"bbox\": [3, 277, 76, 288]}, {\"cell\": \"0.538\", \"bbox\": [175, 277, 199, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 277, 339, 288]}, {\"cell\": \"0.071\", \"bbox\": [423, 277, 447, 288]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5797014_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}98{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>MALE</b></td></tr><tr><td><b>Thyroid condition</b></td><td colspan=\\\"2\\\"><b>Exposed group with dose detected (G1)</b></td><td colspan=\\\"2\\\"><b>Exposed group with doses = 0 (G2)</b></td><td colspan=\\\"2\\\"><b>Not Exposed (G3)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>N</b></td><td><b>%</b></td><td><b>N</b></td><td><b>%</b></td><td><b>N</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>Incidentalomas</td><td>15</td><td>11,3</td><td>8</td><td>10,4</td><td>[EMPTY_CELL]</td><td>9,3</td></tr><tr><td>Nodules (single or multiple)</td><td>5</td><td>3,8</td><td>7</td><td>9,1</td><td>[EMPTY_CELL]</td><td>18,7</td></tr><tr><td>Thyroiditis</td><td>6</td><td>4,5</td><td>3</td><td>3,9</td><td>[EMPTY_CELL]</td><td>3,3</td></tr><tr><td>Healthy</td><td>107</td><td>80,5</td><td>59</td><td>76,6</td><td>[EMPTY_CELL]</td><td>68,7</td></tr><tr><td>Total</td><td>133</td><td>100,0</td><td>77</td><td>100,0</td><td>[EMPTY_CELL]</td><td>100,0</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\">FEMALE</td></tr><tr><td>Thyroid condition</td><td colspan=\\\"2\\\">Exposed group with dose detected (G1)</td><td colspan=\\\"2\\\">Exposed group with doses = 0 (G2)</td><td colspan=\\\"2\\\">Not Exposed (G3)</td></tr><tr><td>[EMPTY_CELL]</td><td>N</td><td>%</td><td>N</td><td>%</td><td>[EMPTY_CELL]</td><td>%</td></tr><tr><td>Incidentalomas</td><td>3</td><td>9,7%</td><td>7</td><td>16,7%</td><td>[EMPTY_CELL]</td><td>13,2</td></tr><tr><td>Nodules (single or multiple)</td><td>1</td><td>3,2%</td><td>4</td><td>9,5%</td><td>[EMPTY_CELL]</td><td>20,3</td></tr><tr><td>Thyroiditis</td><td>2</td><td>6,5%</td><td>3</td><td>7,1%</td><td>[EMPTY_CELL]</td><td>8,6</td></tr><tr><td>Healthy</td><td>25</td><td>80,6%</td><td>28</td><td>66,7%</td><td>[EMPTY_CELL]</td><td>57,9</td></tr><tr><td>Total</td><td>31</td><td>100,0%</td><td>42</td><td>100,0%</td><td>[EMPTY_CELL]</td><td>100,0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MALE</b>\", \"bbox\": [297, 5, 319, 14]}, {\"cell\": \"<b>Thyroid condition</b>\", \"bbox\": [28, 27, 90, 36]}, {\"cell\": \"<b>Exposed group with dose detected (G1)</b>\", \"bbox\": [128, 27, 265, 36]}, {\"cell\": \"<b>Exposed group with doses = 0 (G2)</b>\", \"bbox\": [288, 27, 410, 36]}, {\"cell\": \"<b>Not Exposed (G3)</b>\", \"bbox\": [429, 27, 493, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N</b>\", \"bbox\": [144, 49, 152, 59]}, {\"cell\": \"<b>%</b>\", \"bbox\": [224, 49, 232, 59]}, {\"cell\": \"<b>N</b>\", \"bbox\": [297, 49, 306, 59]}, {\"cell\": \"<b>%</b>\", \"bbox\": [370, 49, 377, 59]}, {\"cell\": \"<b>N</b>\", \"bbox\": [434, 49, 442, 59]}, {\"cell\": \"<b>%</b>\", \"bbox\": [474, 49, 482, 59]}, {\"cell\": \"Incidentalomas\", \"bbox\": [4, 71, 56, 81]}, {\"cell\": \"15\", \"bbox\": [143, 71, 153, 81]}, {\"cell\": \"11,3\", \"bbox\": [220, 71, 236, 81]}, {\"cell\": \"8\", \"bbox\": [299, 71, 305, 81]}, {\"cell\": \"10,4\", \"bbox\": [366, 71, 382, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 71, 443, 81]}, {\"cell\": \"9,3\", \"bbox\": [472, 71, 484, 81]}, {\"cell\": \"Nodules (single or multiple)\", \"bbox\": [4, 81, 100, 91]}, {\"cell\": \"5\", \"bbox\": [145, 81, 151, 91]}, {\"cell\": \"3,8\", \"bbox\": [222, 81, 234, 91]}, {\"cell\": \"7\", \"bbox\": [299, 81, 305, 91]}, {\"cell\": \"9,1\", \"bbox\": [368, 81, 380, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 81, 443, 91]}, {\"cell\": \"18,7\", \"bbox\": [470, 81, 486, 91]}, {\"cell\": \"Thyroiditis\", \"bbox\": [4, 92, 42, 101]}, {\"cell\": \"6\", \"bbox\": [145, 92, 151, 101]}, {\"cell\": \"4,5\", \"bbox\": [222, 92, 234, 101]}, {\"cell\": \"3\", \"bbox\": [299, 92, 305, 101]}, {\"cell\": \"3,9\", \"bbox\": [368, 92, 380, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [435, 92, 441, 101]}, {\"cell\": \"3,3\", \"bbox\": [472, 92, 484, 101]}, {\"cell\": \"Healthy\", \"bbox\": [4, 102, 32, 112]}, {\"cell\": \"107\", \"bbox\": [141, 102, 155, 112]}, {\"cell\": \"80,5\", \"bbox\": [220, 102, 236, 112]}, {\"cell\": \"59\", \"bbox\": [297, 102, 307, 112]}, {\"cell\": \"76,6\", \"bbox\": [366, 102, 382, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 102, 445, 112]}, {\"cell\": \"68,7\", \"bbox\": [470, 102, 486, 112]}, {\"cell\": \"Total\", \"bbox\": [4, 112, 24, 122]}, {\"cell\": \"133\", \"bbox\": [141, 112, 155, 122]}, {\"cell\": \"100,0\", \"bbox\": [218, 112, 238, 122]}, {\"cell\": \"77\", \"bbox\": [297, 112, 307, 122]}, {\"cell\": \"100,0\", \"bbox\": [363, 112, 384, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 112, 445, 122]}, {\"cell\": \"100,0\", \"bbox\": [468, 112, 488, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FEMALE\", \"bbox\": [293, 123, 323, 132]}, {\"cell\": \"Thyroid condition\", \"bbox\": [28, 145, 90, 154]}, {\"cell\": \"Exposed group with dose detected (G1)\", \"bbox\": [128, 145, 265, 154]}, {\"cell\": \"Exposed group with doses = 0 (G2)\", \"bbox\": [288, 145, 410, 154]}, {\"cell\": \"Not Exposed (G3)\", \"bbox\": [429, 145, 493, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N\", \"bbox\": [144, 167, 152, 177]}, {\"cell\": \"%\", \"bbox\": [224, 167, 232, 177]}, {\"cell\": \"N\", \"bbox\": [297, 167, 306, 177]}, {\"cell\": \"%\", \"bbox\": [370, 167, 377, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 167, 442, 177]}, {\"cell\": \"%\", \"bbox\": [474, 167, 482, 177]}, {\"cell\": \"Incidentalomas\", \"bbox\": [4, 189, 56, 199]}, {\"cell\": \"3\", \"bbox\": [145, 189, 151, 199]}, {\"cell\": \"9,7%\", \"bbox\": [219, 189, 237, 199]}, {\"cell\": \"7\", \"bbox\": [299, 189, 305, 199]}, {\"cell\": \"16,7%\", \"bbox\": [363, 189, 385, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 189, 443, 199]}, {\"cell\": \"13,2\", \"bbox\": [470, 189, 486, 199]}, {\"cell\": \"Nodules (single or multiple)\", \"bbox\": [4, 200, 100, 209]}, {\"cell\": \"1\", \"bbox\": [145, 200, 151, 209]}, {\"cell\": \"3,2%\", \"bbox\": [219, 200, 237, 209]}, {\"cell\": \"4\", \"bbox\": [299, 200, 305, 209]}, {\"cell\": \"9,5%\", \"bbox\": [365, 200, 382, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 200, 443, 209]}, {\"cell\": \"20,3\", \"bbox\": [470, 200, 486, 209]}, {\"cell\": \"Thyroiditis\", \"bbox\": [4, 210, 42, 219]}, {\"cell\": \"2\", \"bbox\": [145, 210, 151, 219]}, {\"cell\": \"6,5%\", \"bbox\": [219, 210, 237, 219]}, {\"cell\": \"3\", \"bbox\": [299, 210, 305, 219]}, {\"cell\": \"7,1%\", \"bbox\": [365, 210, 382, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 210, 443, 219]}, {\"cell\": \"8,6\", \"bbox\": [472, 210, 484, 219]}, {\"cell\": \"Healthy\", \"bbox\": [4, 220, 32, 230]}, {\"cell\": \"25\", \"bbox\": [143, 220, 153, 230]}, {\"cell\": \"80,6%\", \"bbox\": [217, 220, 239, 230]}, {\"cell\": \"28\", \"bbox\": [297, 220, 307, 230]}, {\"cell\": \"66,7%\", \"bbox\": [363, 220, 385, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 220, 445, 230]}, {\"cell\": \"57,9\", \"bbox\": [470, 220, 486, 230]}, {\"cell\": \"Total\", \"bbox\": [4, 230, 24, 240]}, {\"cell\": \"31\", \"bbox\": [143, 230, 153, 240]}, {\"cell\": \"100,0%\", \"bbox\": [215, 230, 241, 240]}, {\"cell\": \"42\", \"bbox\": [297, 230, 307, 240]}, {\"cell\": \"100,0%\", \"bbox\": [361, 230, 387, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 230, 445, 240]}, {\"cell\": \"100,0\", \"bbox\": [468, 230, 488, 240]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1185548_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}99{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>system</b></td><td><b>HealthMap</b></td><td><b>BioCaster</b></td></tr></thead><tbody><tr><td>start year</td><td>[EMPTY_CELL]</td><td>2006</td></tr><tr><td>approximate posts per day</td><td>[EMPTY_CELL]</td><td>100 [29]</td></tr><tr><td>number of languages</td><td>[EMPTY_CELL]</td><td>11 [102]</td></tr><tr><td>number of diseases tagged</td><td>[EMPTY_CELL]</td><td>230 (N. Collier 2012, personal communication)</td></tr><tr><td>number of clinically relevant diseases for which data are available</td><td>[EMPTY_CELL]</td><td>99 of 230 (N. Collier 2012, personal communication)</td></tr><tr><td>total occurrence points</td><td>[EMPTY_CELL]</td><td>189 361 (N. Collier 2012, personal communication)</td></tr><tr><td>occurrence point sources for mapping</td><td>[EMPTY_CELL]</td><td>140 038 (N. Collier 2012, personal communication)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>system</b>\", \"bbox\": [8, 6, 33, 17]}, {\"cell\": \"<b>HealthMap</b>\", \"bbox\": [150, 6, 191, 17]}, {\"cell\": \"<b>BioCaster</b>\", \"bbox\": [346, 6, 380, 17]}, {\"cell\": \"start year\", \"bbox\": [8, 26, 39, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 26, 167, 37]}, {\"cell\": \"2006\", \"bbox\": [346, 26, 363, 37]}, {\"cell\": \"approximate posts per day\", \"bbox\": [8, 41, 93, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 41, 179, 52]}, {\"cell\": \"100 [29]\", \"bbox\": [346, 41, 375, 52]}, {\"cell\": \"number of languages\", \"bbox\": [8, 56, 76, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 56, 316, 67]}, {\"cell\": \"11 [102]\", \"bbox\": [346, 56, 375, 67]}, {\"cell\": \"number of diseases tagged\", \"bbox\": [8, 71, 94, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 71, 320, 82]}, {\"cell\": \"230 (N. Collier 2012, personal communication)\", \"bbox\": [346, 71, 494, 82]}, {\"cell\": \"number of clinically relevant diseases for which data are available\", \"bbox\": [8, 86, 105, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 86, 183, 97]}, {\"cell\": \"99 of 230 (N. Collier 2012, personal communication)\", \"bbox\": [346, 86, 461, 112]}, {\"cell\": \"total occurrence points\", \"bbox\": [8, 131, 81, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 131, 281, 157]}, {\"cell\": \"189 361 (N. Collier 2012, personal communication)\", \"bbox\": [346, 131, 455, 157]}, {\"cell\": \"occurrence point sources for mapping\", \"bbox\": [8, 161, 127, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 161, 277, 187]}, {\"cell\": \"140 038 (N. Collier 2012, personal communication)\", \"bbox\": [346, 161, 455, 187]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3679597_007_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}100{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>White</b></td><td colspan=\\\"3\\\"><b>Black</b></td><td colspan=\\\"3\\\"><b>Hispanic</b></td><td colspan=\\\"3\\\"><b>Other</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>R</i><sup><i>2</i></sup></b></td><td><b><i>B</i></b></td><td><b><i>SE</i></b></td><td><b><i>R</i><sup><i>2</i></sup></b></td><td><b><i>B</i></b></td><td><b><i>SE</i></b></td><td><b><i>R</i><sup><i>2</i></sup></b></td><td><b><i>B</i></b></td><td><b><i>SE</i></b></td><td><b><i>R</i><sup><i>2</i></sup></b></td><td><b><i>B</i></b></td><td><b><i>SE</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><i>.112</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>.202**</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>.126***</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>.189**</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>.400*</b></td><td>.154</td><td>[EMPTY_CELL]</td><td><b>.691***</b></td><td>.181</td><td>[EMPTY_CELL]</td><td><b>.622***</b></td><td>.125</td><td>[EMPTY_CELL]</td><td><b>.421*</b></td><td>.176</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−.126</td><td>.150</td><td>[EMPTY_CELL]</td><td>.125</td><td>.209</td><td>[EMPTY_CELL]</td><td>.058</td><td>.115</td><td>[EMPTY_CELL]</td><td>.227</td><td>.166</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−.007</td><td>.096</td><td>[EMPTY_CELL]</td><td>−.106</td><td>.120</td><td>[EMPTY_CELL]</td><td>.050</td><td>.069</td><td>[EMPTY_CELL]</td><td><b>.</b>154</td><td>.101</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−.303</td><td>.325</td><td>[EMPTY_CELL]</td><td>.277</td><td>.479</td><td>[EMPTY_CELL]</td><td>−.232</td><td>.286</td><td>[EMPTY_CELL]</td><td>−.038</td><td>.402</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−.027</td><td>.097</td><td>[EMPTY_CELL]</td><td><b>−.212*</b></td><td>.107</td><td>[EMPTY_CELL]</td><td>−.027</td><td>.058</td><td>[EMPTY_CELL]</td><td>−.012</td><td>.091</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−.016</td><td>.134</td><td>[EMPTY_CELL]</td><td>.042</td><td>.151</td><td>[EMPTY_CELL]</td><td>−.064</td><td>.101</td><td>[EMPTY_CELL]</td><td>−.203</td><td>.148</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−.116</td><td>.424</td><td>[EMPTY_CELL]</td><td>1.150</td><td>.637</td><td>[EMPTY_CELL]</td><td>−.045</td><td>.273</td><td>[EMPTY_CELL]</td><td>−.462</td><td>.336</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.102</td><td>.241</td><td>[EMPTY_CELL]</td><td>−.528</td><td>.352</td><td>[EMPTY_CELL]</td><td>.123</td><td>.210</td><td>[EMPTY_CELL]</td><td>−.037</td><td>.283</td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>.143*</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>.116</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>.103**</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>.140*</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>.169*</b></td><td>.073</td><td>[EMPTY_CELL]</td><td>.188*</td><td>.086</td><td>[EMPTY_CELL]</td><td>.087</td><td>.059</td><td>[EMPTY_CELL]</td><td>−.010</td><td>.081</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−.039</td><td>.072</td><td>[EMPTY_CELL]</td><td>.054</td><td>.095</td><td>[EMPTY_CELL]</td><td><b>.113*</b></td><td>.055</td><td>[EMPTY_CELL]</td><td>.134</td><td>.079</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.033</td><td>.045</td><td>[EMPTY_CELL]</td><td>−.010</td><td>.055</td><td>[EMPTY_CELL]</td><td>−.021</td><td>.033</td><td>[EMPTY_CELL]</td><td>−.025</td><td>.046</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.115</td><td>.153</td><td>[EMPTY_CELL]</td><td>−.250</td><td>.219</td><td>[EMPTY_CELL]</td><td><b>.311*</b></td><td>.137</td><td>[EMPTY_CELL]</td><td><b>.374*</b></td><td>.177</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.048</td><td>.046</td><td>[EMPTY_CELL]</td><td>.016</td><td>.049</td><td>[EMPTY_CELL]</td><td>.006</td><td>.027</td><td>[EMPTY_CELL]</td><td>−.026</td><td>.040</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−.044</td><td>.062</td><td>[EMPTY_CELL]</td><td>−.036</td><td>.073</td><td>[EMPTY_CELL]</td><td>−.064</td><td>.048</td><td>[EMPTY_CELL]</td><td>−.002</td><td>.067</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−.015</td><td>.200</td><td>[EMPTY_CELL]</td><td>.247</td><td>.296</td><td>[EMPTY_CELL]</td><td>−.132</td><td>.127</td><td>[EMPTY_CELL]</td><td>−.272</td><td>.156</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−.066</td><td>.113</td><td>[EMPTY_CELL]</td><td>.071</td><td>.169</td><td>[EMPTY_CELL]</td><td>.023</td><td>.099</td><td>[EMPTY_CELL]</td><td>.075</td><td>.124</td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>.137**</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>.085</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>.173***</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>.188***</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.008</td><td>.031</td><td>[EMPTY_CELL]</td><td>.085**</td><td>.030</td><td>[EMPTY_CELL]</td><td><b>.115***</b></td><td>.020</td><td>[EMPTY_CELL]</td><td><b>.126***</b></td><td>.029</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>.090*</b></td><td>.038</td><td>[EMPTY_CELL]</td><td>.050</td><td>.044</td><td>[EMPTY_CELL]</td><td><b>.068**</b></td><td>.025</td><td>[EMPTY_CELL]</td><td>.045</td><td>.035</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>.436**</b></td><td>.142</td><td>[EMPTY_CELL]</td><td>−.014</td><td>.122</td><td>[EMPTY_CELL]</td><td>.038</td><td>.071</td><td>[EMPTY_CELL]</td><td>.046</td><td>.115</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>White</b>\", \"bbox\": [145, 4, 166, 13]}, {\"cell\": \"<b>Black</b>\", \"bbox\": [227, 4, 246, 13]}, {\"cell\": \"<b>Hispanic</b>\", \"bbox\": [313, 4, 342, 13]}, {\"cell\": \"<b>Other</b>\", \"bbox\": [402, 4, 422, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>R</i><sup><i>2</i></sup></b>\", \"bbox\": [145, 15, 154, 25]}, {\"cell\": \"<b><i>B</i></b>\", \"bbox\": [175, 17, 181, 25]}, {\"cell\": \"<b><i>SE</i></b>\", \"bbox\": [206, 17, 214, 25]}, {\"cell\": \"<b><i>R</i><sup><i>2</i></sup></b>\", \"bbox\": [227, 15, 236, 25]}, {\"cell\": \"<b><i>B</i></b>\", \"bbox\": [257, 17, 263, 25]}, {\"cell\": \"<b><i>SE</i></b>\", \"bbox\": [291, 17, 300, 25]}, {\"cell\": \"<b><i>R</i><sup><i>2</i></sup></b>\", \"bbox\": [313, 15, 322, 25]}, {\"cell\": \"<b><i>B</i></b>\", \"bbox\": [347, 17, 352, 25]}, {\"cell\": \"<b><i>SE</i></b>\", \"bbox\": [380, 17, 389, 25]}, {\"cell\": \"<b><i>R</i><sup><i>2</i></sup></b>\", \"bbox\": [402, 15, 411, 25]}, {\"cell\": \"<b><i>B</i></b>\", \"bbox\": [436, 17, 442, 25]}, {\"cell\": \"<b><i>SE</i></b>\", \"bbox\": [470, 17, 479, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 29, 33, 38]}, {\"cell\": \"<i>.112</i>\", \"bbox\": [145, 30, 159, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>.202**</i></b>\", \"bbox\": [227, 30, 250, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>.126***</i></b>\", \"bbox\": [313, 30, 339, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>.189**</i></b>\", \"bbox\": [402, 30, 425, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 44, 73, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.400*</b>\", \"bbox\": [175, 44, 195, 52]}, {\"cell\": \".154\", \"bbox\": [206, 44, 220, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.691***</b>\", \"bbox\": [257, 44, 284, 52]}, {\"cell\": \".181\", \"bbox\": [291, 44, 306, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.622***</b>\", \"bbox\": [347, 44, 373, 52]}, {\"cell\": \".125\", \"bbox\": [380, 44, 395, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.421*</b>\", \"bbox\": [436, 44, 456, 52]}, {\"cell\": \".176\", \"bbox\": [470, 44, 484, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 58, 137, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.126\", \"bbox\": [175, 58, 195, 68]}, {\"cell\": \".150\", \"bbox\": [206, 58, 220, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".125\", \"bbox\": [257, 58, 272, 68]}, {\"cell\": \".209\", \"bbox\": [291, 58, 306, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".058\", \"bbox\": [347, 58, 361, 68]}, {\"cell\": \".115\", \"bbox\": [380, 58, 395, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".227\", \"bbox\": [436, 58, 451, 68]}, {\"cell\": \".166\", \"bbox\": [470, 58, 484, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 72, 138, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.007\", \"bbox\": [175, 72, 195, 82]}, {\"cell\": \".096\", \"bbox\": [206, 72, 220, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.106\", \"bbox\": [257, 72, 277, 82]}, {\"cell\": \".120\", \"bbox\": [291, 72, 306, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".050\", \"bbox\": [347, 72, 361, 82]}, {\"cell\": \".069\", \"bbox\": [380, 72, 395, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.</b>154\", \"bbox\": [436, 72, 451, 82]}, {\"cell\": \".101\", \"bbox\": [470, 72, 484, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 86, 88, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.303\", \"bbox\": [175, 86, 195, 96]}, {\"cell\": \".325\", \"bbox\": [206, 86, 220, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".277\", \"bbox\": [257, 86, 272, 96]}, {\"cell\": \".479\", \"bbox\": [291, 86, 306, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.232\", \"bbox\": [347, 86, 366, 96]}, {\"cell\": \".286\", \"bbox\": [380, 86, 395, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.038\", \"bbox\": [436, 86, 455, 96]}, {\"cell\": \".402\", \"bbox\": [470, 86, 484, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 100, 129, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.027\", \"bbox\": [175, 100, 195, 110]}, {\"cell\": \".097\", \"bbox\": [206, 100, 220, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>−.212*</b>\", \"bbox\": [257, 100, 282, 108]}, {\"cell\": \".107\", \"bbox\": [291, 100, 306, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.027\", \"bbox\": [347, 100, 366, 110]}, {\"cell\": \".058\", \"bbox\": [380, 100, 395, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.012\", \"bbox\": [436, 100, 455, 110]}, {\"cell\": \".091\", \"bbox\": [470, 100, 484, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 114, 61, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.016\", \"bbox\": [175, 114, 195, 124]}, {\"cell\": \".134\", \"bbox\": [206, 114, 220, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".042\", \"bbox\": [257, 114, 272, 124]}, {\"cell\": \".151\", \"bbox\": [291, 114, 306, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.064\", \"bbox\": [347, 114, 366, 124]}, {\"cell\": \".101\", \"bbox\": [380, 114, 395, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.203\", \"bbox\": [436, 114, 455, 124]}, {\"cell\": \".148\", \"bbox\": [470, 114, 484, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 128, 105, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.116\", \"bbox\": [175, 128, 195, 138]}, {\"cell\": \".424\", \"bbox\": [206, 128, 220, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.150\", \"bbox\": [257, 128, 276, 138]}, {\"cell\": \".637\", \"bbox\": [291, 128, 306, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.045\", \"bbox\": [347, 128, 366, 138]}, {\"cell\": \".273\", \"bbox\": [380, 128, 395, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.462\", \"bbox\": [436, 128, 455, 138]}, {\"cell\": \".336\", \"bbox\": [470, 128, 484, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 142, 85, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".102\", \"bbox\": [175, 142, 190, 152]}, {\"cell\": \".241\", \"bbox\": [206, 142, 220, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.528\", \"bbox\": [257, 142, 277, 152]}, {\"cell\": \".352\", \"bbox\": [291, 142, 306, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".123\", \"bbox\": [347, 142, 361, 152]}, {\"cell\": \".210\", \"bbox\": [380, 142, 395, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.037\", \"bbox\": [436, 142, 455, 152]}, {\"cell\": \".283\", \"bbox\": [470, 142, 484, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 37, 164]}, {\"cell\": \"<b><i>.143*</i></b>\", \"bbox\": [145, 156, 165, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>.116</i>\", \"bbox\": [227, 156, 242, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>.103**</i></b>\", \"bbox\": [313, 156, 336, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>.140*</i></b>\", \"bbox\": [402, 156, 422, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 170, 73, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.169*</b>\", \"bbox\": [175, 170, 195, 178]}, {\"cell\": \".073\", \"bbox\": [206, 170, 220, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".188*\", \"bbox\": [257, 170, 275, 180]}, {\"cell\": \".086\", \"bbox\": [291, 170, 306, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".087\", \"bbox\": [347, 170, 361, 180]}, {\"cell\": \".059\", \"bbox\": [380, 170, 395, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.010\", \"bbox\": [436, 170, 455, 180]}, {\"cell\": \".081\", \"bbox\": [470, 170, 484, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 184, 137, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.039\", \"bbox\": [175, 184, 195, 194]}, {\"cell\": \".072\", \"bbox\": [206, 184, 220, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".054\", \"bbox\": [257, 184, 272, 194]}, {\"cell\": \".095\", \"bbox\": [291, 184, 306, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.113*</b>\", \"bbox\": [347, 184, 367, 192]}, {\"cell\": \".055\", \"bbox\": [380, 184, 395, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".134\", \"bbox\": [436, 184, 451, 194]}, {\"cell\": \".079\", \"bbox\": [470, 184, 484, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 198, 138, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".033\", \"bbox\": [175, 198, 190, 208]}, {\"cell\": \".045\", \"bbox\": [205, 198, 220, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.010\", \"bbox\": [257, 198, 277, 208]}, {\"cell\": \".055\", \"bbox\": [291, 198, 306, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.021\", \"bbox\": [347, 198, 366, 208]}, {\"cell\": \".033\", \"bbox\": [380, 198, 395, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.025\", \"bbox\": [436, 198, 455, 208]}, {\"cell\": \".046\", \"bbox\": [470, 198, 484, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 212, 88, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".115\", \"bbox\": [175, 212, 190, 222]}, {\"cell\": \".153\", \"bbox\": [205, 212, 220, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.250\", \"bbox\": [257, 212, 277, 222]}, {\"cell\": \".219\", \"bbox\": [291, 212, 306, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.311*</b>\", \"bbox\": [347, 212, 367, 220]}, {\"cell\": \".137\", \"bbox\": [380, 212, 395, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.374*</b>\", \"bbox\": [436, 212, 456, 220]}, {\"cell\": \".177\", \"bbox\": [470, 212, 484, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 226, 129, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".048\", \"bbox\": [175, 226, 190, 236]}, {\"cell\": \".046\", \"bbox\": [205, 226, 220, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".016\", \"bbox\": [257, 226, 272, 236]}, {\"cell\": \".049\", \"bbox\": [291, 226, 306, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".006\", \"bbox\": [347, 226, 361, 236]}, {\"cell\": \".027\", \"bbox\": [380, 226, 395, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.026\", \"bbox\": [436, 226, 455, 236]}, {\"cell\": \".040\", \"bbox\": [470, 226, 484, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 240, 60, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.044\", \"bbox\": [175, 240, 195, 250]}, {\"cell\": \".062\", \"bbox\": [205, 240, 220, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.036\", \"bbox\": [257, 240, 277, 250]}, {\"cell\": \".073\", \"bbox\": [291, 240, 306, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.064\", \"bbox\": [347, 240, 366, 250]}, {\"cell\": \".048\", \"bbox\": [380, 240, 395, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.002\", \"bbox\": [436, 240, 455, 250]}, {\"cell\": \".067\", \"bbox\": [470, 240, 484, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 254, 105, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.015\", \"bbox\": [175, 254, 195, 264]}, {\"cell\": \".200\", \"bbox\": [205, 254, 220, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".247\", \"bbox\": [257, 254, 272, 264]}, {\"cell\": \".296\", \"bbox\": [291, 254, 306, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.132\", \"bbox\": [347, 254, 366, 264]}, {\"cell\": \".127\", \"bbox\": [380, 254, 395, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.272\", \"bbox\": [436, 254, 455, 264]}, {\"cell\": \".156\", \"bbox\": [470, 254, 484, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 268, 85, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.066\", \"bbox\": [175, 268, 195, 278]}, {\"cell\": \".113\", \"bbox\": [205, 268, 220, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".071\", \"bbox\": [257, 268, 272, 278]}, {\"cell\": \".169\", \"bbox\": [291, 268, 306, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".023\", \"bbox\": [347, 268, 361, 278]}, {\"cell\": \".099\", \"bbox\": [380, 268, 395, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".075\", \"bbox\": [436, 268, 451, 278]}, {\"cell\": \".124\", \"bbox\": [470, 268, 484, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 281, 43, 290]}, {\"cell\": \"<b><i>.137**</i></b>\", \"bbox\": [145, 282, 168, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>.085</i>\", \"bbox\": [227, 282, 242, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>.173***</i></b>\", \"bbox\": [313, 282, 339, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>.188***</i></b>\", \"bbox\": [402, 282, 429, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 296, 88, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".008\", \"bbox\": [175, 296, 190, 306]}, {\"cell\": \".031\", \"bbox\": [206, 296, 220, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".085**\", \"bbox\": [257, 296, 278, 306]}, {\"cell\": \".030\", \"bbox\": [291, 296, 306, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.115***</b>\", \"bbox\": [347, 296, 373, 304]}, {\"cell\": \".020\", \"bbox\": [380, 296, 395, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.126***</b>\", \"bbox\": [436, 296, 463, 304]}, {\"cell\": \".029\", \"bbox\": [470, 296, 484, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 310, 81, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.090*</b>\", \"bbox\": [175, 310, 195, 318]}, {\"cell\": \".038\", \"bbox\": [206, 310, 220, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".050\", \"bbox\": [257, 310, 272, 320]}, {\"cell\": \".044\", \"bbox\": [291, 310, 306, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.068**</b>\", \"bbox\": [347, 310, 370, 318]}, {\"cell\": \".025\", \"bbox\": [380, 310, 395, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".045\", \"bbox\": [436, 310, 451, 320]}, {\"cell\": \".035\", \"bbox\": [470, 310, 484, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 324, 61, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>.436**</b>\", \"bbox\": [175, 324, 198, 332]}, {\"cell\": \".142\", \"bbox\": [206, 324, 220, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−.014\", \"bbox\": [257, 324, 277, 334]}, {\"cell\": \".122\", \"bbox\": [291, 324, 306, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".038\", \"bbox\": [347, 324, 361, 334]}, {\"cell\": \".071\", \"bbox\": [380, 324, 395, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".046\", \"bbox\": [436, 324, 451, 334]}, {\"cell\": \".115\", \"bbox\": [470, 324, 484, 334]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5120505_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}101{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b><i>N</i></b></td><td><b>All</b></td><td><b>Males</b></td><td><b>Females</b></td><td><b>Unknown gender</b></td><td><b>Medulloblastoma</b></td><td><b>ATRT</b></td><td><b>Germinoma</b></td><td><b>Controls</b></td><td><b>Mean age (years)</b></td><td><b>STDEV AGE</b></td><td><b>Mean Age (weeks)</b></td><td><b>STDEV age</b></td></tr></thead><tbody><tr><td><b>Meta-analysis</b></td><td><b>ALL</b></td><td>161</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4.15</td><td>11.91</td><td>226.32</td><td>574.91</td></tr><tr><td>[EMPTY_CELL]</td><td><b>MALES</b></td><td>82</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.85</td><td>13.76</td><td>210.26</td><td>663.33</td></tr><tr><td>[EMPTY_CELL]</td><td><b>FEMALES</b></td><td>46</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.09</td><td>2.43</td><td>76.16</td><td>122.39</td></tr><tr><td>[EMPTY_CELL]</td><td><b>UNKNOWN GENDER</b></td><td>32</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9.20</td><td>14.00</td><td>476.79</td><td>672.56</td></tr><tr><td>[EMPTY_CELL]</td><td><b>MEDULLOBLASTOMA</b></td><td>19</td><td>8</td><td>[EMPTY_CELL]</td><td>4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>6.89</td><td>4.13</td><td>366.95</td><td>198.43</td></tr><tr><td>[EMPTY_CELL]</td><td><b>ATRT</b></td><td>8</td><td>1</td><td>[EMPTY_CELL]</td><td>4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2.23</td><td>2.18</td><td>142.95</td><td>104.49</td></tr><tr><td>[EMPTY_CELL]</td><td><b>GERMINOMA</b></td><td>12</td><td>0</td><td>[EMPTY_CELL]</td><td>12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>11.15</td><td>3.08</td><td>571.00</td><td>147.76</td></tr><tr><td>[EMPTY_CELL]</td><td><b>CONTROLS</b></td><td>121</td><td>73</td><td>[EMPTY_CELL]</td><td>12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.04</td><td>13.43</td><td>169.45</td><td>647.52</td></tr><tr><td>[EMPTY_CELL]</td><td><b>FETAL</b></td><td>76</td><td>40</td><td>[EMPTY_CELL]</td><td>4</td><td>0</td><td>0</td><td>0</td><td>76</td><td>0.00</td><td>0.00</td><td>18.39</td><td>3.41</td></tr><tr><td>[EMPTY_CELL]</td><td><b>INFANT</b></td><td>19</td><td>15</td><td>[EMPTY_CELL]</td><td>0</td><td>1</td><td>2</td><td>0</td><td>16</td><td>0.56</td><td>0.54</td><td>62.67</td><td>25.71</td></tr><tr><td>[EMPTY_CELL]</td><td><b>CHILD</b></td><td>40</td><td>9</td><td>[EMPTY_CELL]</td><td>21</td><td>15</td><td>6</td><td>9</td><td>10</td><td>5.82</td><td>3.52</td><td>315.53</td><td>168.84</td></tr><tr><td>[EMPTY_CELL]</td><td><b>ADOLESCENT</b></td><td>6</td><td>3</td><td>[EMPTY_CELL]</td><td>3</td><td>3</td><td>0</td><td>3</td><td>0</td><td>14.07</td><td>1.57</td><td>711.54</td><td>75.34</td></tr><tr><td>[EMPTY_CELL]</td><td><b>ADULT</b></td><td>5</td><td>2</td><td>[EMPTY_CELL]</td><td>3</td><td>0</td><td>0</td><td>0</td><td>5</td><td>56.48</td><td>29.58</td><td>2746.94</td><td>1419.60</td></tr><tr><td>[EMPTY_CELL]</td><td><b>%</b></td><td><b>ALL</b></td><td><b>MALES</b></td><td>[EMPTY_CELL]</td><td><b>UNKNOWN GENDER</b></td><td><b>MEDULLOBLASTOMA</b></td><td><b>ATRT</b></td><td><b>GERMINOMA</b></td><td><b>CONTROLS</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>ALL</b></td><td>100.00%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>MALES</b></td><td>50.93%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>FEMALES</b></td><td>28.57%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>UNKNOWN GENDER</b></td><td>19.88%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>MEDULLOBLASTOMA</b></td><td>11.80%</td><td>4.97%</td><td>[EMPTY_CELL]</td><td>2.48%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>ATRT</b></td><td>4.97%</td><td>0.62%</td><td>[EMPTY_CELL]</td><td>2.48%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>GERMINOMA</b></td><td>7.45%</td><td>0.00%</td><td>[EMPTY_CELL]</td><td>7.45%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>CONTROLS</b></td><td>75.16%</td><td>45.34%</td><td>[EMPTY_CELL]</td><td>7.45%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>FETAL</b></td><td>47.20%</td><td>24.84%</td><td>[EMPTY_CELL]</td><td>2.48%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>47.20%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>INFANT</b></td><td>11.80%</td><td>9.32%</td><td>[EMPTY_CELL]</td><td>0.00%</td><td>0.62%</td><td>1.24%</td><td>0.00%</td><td>9.94%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>CHILD</b></td><td>24.84%</td><td>5.59%</td><td>[EMPTY_CELL]</td><td>13.04%</td><td>9.32%</td><td>3.73%</td><td>5.59%</td><td>6.21%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>ADOLESCENT</b></td><td>3.73%</td><td>1.86%</td><td>[EMPTY_CELL]</td><td>1.86%</td><td>1.86%</td><td>0.00%</td><td>1.86%</td><td>0.00%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>ADULT</b></td><td>3.11%</td><td>1.24%</td><td>[EMPTY_CELL]</td><td>1.86%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>3.11%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>N</i></b>\", \"bbox\": [54, 4, 61, 12]}, {\"cell\": \"<b>All</b>\", \"bbox\": [133, 4, 145, 13]}, {\"cell\": \"<b>Males</b>\", \"bbox\": [166, 4, 188, 13]}, {\"cell\": \"<b>Females</b>\", \"bbox\": [196, 4, 226, 13]}, {\"cell\": \"<b>Unknown gender</b>\", \"bbox\": [234, 4, 269, 22]}, {\"cell\": \"<b>Medulloblastoma</b>\", \"bbox\": [309, 4, 371, 13]}, {\"cell\": \"<b>ATRT</b>\", \"bbox\": [389, 4, 409, 13]}, {\"cell\": \"<b>Germinoma</b>\", \"bbox\": [414, 4, 456, 13]}, {\"cell\": \"<b>Controls</b>\", \"bbox\": [465, 4, 496, 13]}, {\"cell\": \"<b>Mean age (years)</b>\", \"bbox\": [509, 4, 545, 22]}, {\"cell\": \"<b>STDEV AGE</b>\", \"bbox\": [549, 4, 573, 22]}, {\"cell\": \"<b>Mean Age (weeks)</b>\", \"bbox\": [578, 4, 615, 22]}, {\"cell\": \"<b>STDEV age</b>\", \"bbox\": [619, 4, 643, 22]}, {\"cell\": \"<b>Meta-analysis</b>\", \"bbox\": [1, 26, 49, 36]}, {\"cell\": \"<b>ALL</b>\", \"bbox\": [54, 26, 69, 36]}, {\"cell\": \"161\", \"bbox\": [133, 26, 147, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4.15\", \"bbox\": [509, 26, 523, 34]}, {\"cell\": \"11.91\", \"bbox\": [549, 26, 568, 34]}, {\"cell\": \"226.32\", \"bbox\": [578, 26, 600, 34]}, {\"cell\": \"574.91\", \"bbox\": [619, 26, 641, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MALES</b>\", \"bbox\": [54, 40, 79, 50]}, {\"cell\": \"82\", \"bbox\": [133, 40, 143, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.85\", \"bbox\": [509, 40, 523, 48]}, {\"cell\": \"13.76\", \"bbox\": [549, 40, 568, 48]}, {\"cell\": \"210.26\", \"bbox\": [578, 40, 600, 48]}, {\"cell\": \"663.33\", \"bbox\": [619, 40, 641, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>FEMALES</b>\", \"bbox\": [54, 54, 87, 64]}, {\"cell\": \"46\", \"bbox\": [133, 54, 143, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.09\", \"bbox\": [509, 54, 523, 62]}, {\"cell\": \"2.43\", \"bbox\": [549, 54, 564, 62]}, {\"cell\": \"76.16\", \"bbox\": [578, 54, 596, 62]}, {\"cell\": \"122.39\", \"bbox\": [619, 54, 641, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>UNKNOWN GENDER</b>\", \"bbox\": [54, 68, 125, 78]}, {\"cell\": \"32\", \"bbox\": [133, 69, 143, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9.20\", \"bbox\": [509, 69, 523, 76]}, {\"cell\": \"14.00\", \"bbox\": [549, 69, 568, 76]}, {\"cell\": \"476.79\", \"bbox\": [578, 69, 600, 76]}, {\"cell\": \"672.56\", \"bbox\": [619, 69, 641, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MEDULLOBLASTOMA</b>\", \"bbox\": [54, 82, 129, 92]}, {\"cell\": \"19\", \"bbox\": [133, 83, 143, 90]}, {\"cell\": \"8\", \"bbox\": [166, 83, 172, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 83, 202, 90]}, {\"cell\": \"4\", \"bbox\": [234, 83, 240, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6.89\", \"bbox\": [509, 83, 523, 90]}, {\"cell\": \"4.13\", \"bbox\": [549, 83, 564, 90]}, {\"cell\": \"366.95\", \"bbox\": [578, 83, 600, 90]}, {\"cell\": \"198.43\", \"bbox\": [619, 83, 641, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ATRT</b>\", \"bbox\": [54, 96, 74, 106]}, {\"cell\": \"8\", \"bbox\": [133, 97, 139, 104]}, {\"cell\": \"1\", \"bbox\": [166, 97, 172, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 97, 202, 104]}, {\"cell\": \"4\", \"bbox\": [234, 97, 240, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.23\", \"bbox\": [509, 97, 523, 104]}, {\"cell\": \"2.18\", \"bbox\": [549, 97, 564, 104]}, {\"cell\": \"142.95\", \"bbox\": [578, 97, 600, 104]}, {\"cell\": \"104.49\", \"bbox\": [619, 97, 641, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>GERMINOMA</b>\", \"bbox\": [54, 110, 101, 120]}, {\"cell\": \"12\", \"bbox\": [133, 111, 143, 118]}, {\"cell\": \"0\", \"bbox\": [166, 111, 172, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 111, 202, 118]}, {\"cell\": \"12\", \"bbox\": [234, 111, 243, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11.15\", \"bbox\": [509, 111, 527, 118]}, {\"cell\": \"3.08\", \"bbox\": [549, 111, 564, 118]}, {\"cell\": \"571.00\", \"bbox\": [578, 111, 600, 118]}, {\"cell\": \"147.76\", \"bbox\": [619, 111, 641, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>CONTROLS</b>\", \"bbox\": [54, 124, 93, 134]}, {\"cell\": \"121\", \"bbox\": [133, 125, 147, 132]}, {\"cell\": \"73\", \"bbox\": [166, 125, 176, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 125, 205, 132]}, {\"cell\": \"12\", \"bbox\": [234, 125, 243, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.04\", \"bbox\": [509, 125, 523, 132]}, {\"cell\": \"13.43\", \"bbox\": [549, 125, 568, 132]}, {\"cell\": \"169.45\", \"bbox\": [578, 125, 600, 132]}, {\"cell\": \"647.52\", \"bbox\": [619, 125, 641, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>FETAL</b>\", \"bbox\": [54, 138, 77, 148]}, {\"cell\": \"76\", \"bbox\": [133, 139, 143, 146]}, {\"cell\": \"40\", \"bbox\": [166, 139, 176, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 139, 205, 146]}, {\"cell\": \"4\", \"bbox\": [234, 139, 240, 146]}, {\"cell\": \"0\", \"bbox\": [309, 139, 315, 146]}, {\"cell\": \"0\", \"bbox\": [389, 139, 395, 146]}, {\"cell\": \"0\", \"bbox\": [414, 139, 419, 146]}, {\"cell\": \"76\", \"bbox\": [465, 139, 474, 146]}, {\"cell\": \"0.00\", \"bbox\": [509, 139, 523, 146]}, {\"cell\": \"0.00\", \"bbox\": [549, 139, 564, 146]}, {\"cell\": \"18.39\", \"bbox\": [578, 139, 596, 146]}, {\"cell\": \"3.41\", \"bbox\": [619, 139, 634, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>INFANT</b>\", \"bbox\": [54, 152, 82, 162]}, {\"cell\": \"19\", \"bbox\": [133, 152, 143, 160]}, {\"cell\": \"15\", \"bbox\": [166, 152, 176, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 152, 202, 160]}, {\"cell\": \"0\", \"bbox\": [234, 152, 240, 160]}, {\"cell\": \"1\", \"bbox\": [309, 152, 315, 160]}, {\"cell\": \"2\", \"bbox\": [389, 152, 395, 160]}, {\"cell\": \"0\", \"bbox\": [414, 152, 419, 160]}, {\"cell\": \"16\", \"bbox\": [465, 152, 474, 160]}, {\"cell\": \"0.56\", \"bbox\": [509, 152, 523, 160]}, {\"cell\": \"0.54\", \"bbox\": [549, 152, 564, 160]}, {\"cell\": \"62.67\", \"bbox\": [578, 152, 596, 160]}, {\"cell\": \"25.71\", \"bbox\": [619, 152, 638, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>CHILD</b>\", \"bbox\": [54, 166, 77, 176]}, {\"cell\": \"40\", \"bbox\": [133, 166, 143, 174]}, {\"cell\": \"9\", \"bbox\": [166, 166, 172, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 166, 205, 174]}, {\"cell\": \"21\", \"bbox\": [234, 166, 243, 174]}, {\"cell\": \"15\", \"bbox\": [309, 166, 319, 174]}, {\"cell\": \"6\", \"bbox\": [389, 166, 395, 174]}, {\"cell\": \"9\", \"bbox\": [414, 166, 419, 174]}, {\"cell\": \"10\", \"bbox\": [465, 166, 474, 174]}, {\"cell\": \"5.82\", \"bbox\": [509, 166, 523, 174]}, {\"cell\": \"3.52\", \"bbox\": [549, 166, 564, 174]}, {\"cell\": \"315.53\", \"bbox\": [578, 166, 600, 174]}, {\"cell\": \"168.84\", \"bbox\": [619, 166, 641, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ADOLESCENT</b>\", \"bbox\": [54, 180, 102, 190]}, {\"cell\": \"6\", \"bbox\": [133, 180, 139, 188]}, {\"cell\": \"3\", \"bbox\": [166, 180, 172, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 180, 202, 188]}, {\"cell\": \"3\", \"bbox\": [234, 180, 240, 188]}, {\"cell\": \"3\", \"bbox\": [309, 180, 315, 188]}, {\"cell\": \"0\", \"bbox\": [389, 180, 395, 188]}, {\"cell\": \"3\", \"bbox\": [414, 180, 419, 188]}, {\"cell\": \"0\", \"bbox\": [465, 180, 471, 188]}, {\"cell\": \"14.07\", \"bbox\": [509, 180, 527, 188]}, {\"cell\": \"1.57\", \"bbox\": [549, 180, 564, 188]}, {\"cell\": \"711.54\", \"bbox\": [578, 180, 600, 188]}, {\"cell\": \"75.34\", \"bbox\": [619, 180, 638, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ADULT</b>\", \"bbox\": [54, 194, 79, 204]}, {\"cell\": \"5\", \"bbox\": [133, 194, 139, 202]}, {\"cell\": \"2\", \"bbox\": [166, 194, 172, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 194, 202, 202]}, {\"cell\": \"3\", \"bbox\": [234, 194, 240, 202]}, {\"cell\": \"0\", \"bbox\": [309, 194, 315, 202]}, {\"cell\": \"0\", \"bbox\": [389, 194, 395, 202]}, {\"cell\": \"0\", \"bbox\": [414, 194, 419, 202]}, {\"cell\": \"5\", \"bbox\": [465, 194, 471, 202]}, {\"cell\": \"56.48\", \"bbox\": [509, 194, 527, 202]}, {\"cell\": \"29.58\", \"bbox\": [549, 194, 568, 202]}, {\"cell\": \"2746.94\", \"bbox\": [578, 194, 604, 202]}, {\"cell\": \"1419.60\", \"bbox\": [619, 194, 645, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>%</b>\", \"bbox\": [54, 207, 62, 217]}, {\"cell\": \"<b>ALL</b>\", \"bbox\": [133, 207, 148, 217]}, {\"cell\": \"<b>MALES</b>\", \"bbox\": [166, 207, 192, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 207, 229, 217]}, {\"cell\": \"<b>UNKNOWN GENDER</b>\", \"bbox\": [234, 207, 305, 217]}, {\"cell\": \"<b>MEDULLOBLASTOMA</b>\", \"bbox\": [309, 207, 385, 217]}, {\"cell\": \"<b>ATRT</b>\", \"bbox\": [389, 207, 409, 217]}, {\"cell\": \"<b>GERMINOMA</b>\", \"bbox\": [414, 207, 461, 217]}, {\"cell\": \"<b>CONTROLS</b>\", \"bbox\": [465, 207, 504, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ALL</b>\", \"bbox\": [54, 220, 69, 230]}, {\"cell\": \"100.00%\", \"bbox\": [133, 221, 162, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MALES</b>\", \"bbox\": [54, 234, 79, 244]}, {\"cell\": \"50.93%\", \"bbox\": [133, 235, 158, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>FEMALES</b>\", \"bbox\": [54, 248, 87, 258]}, {\"cell\": \"28.57%\", \"bbox\": [133, 249, 158, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>UNKNOWN GENDER</b>\", \"bbox\": [54, 262, 125, 272]}, {\"cell\": \"19.88%\", \"bbox\": [133, 263, 158, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MEDULLOBLASTOMA</b>\", \"bbox\": [54, 276, 129, 286]}, {\"cell\": \"11.80%\", \"bbox\": [133, 277, 158, 284]}, {\"cell\": \"4.97%\", \"bbox\": [166, 277, 186, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 277, 216, 284]}, {\"cell\": \"2.48%\", \"bbox\": [234, 277, 254, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ATRT</b>\", \"bbox\": [54, 290, 74, 300]}, {\"cell\": \"4.97%\", \"bbox\": [133, 291, 154, 298]}, {\"cell\": \"0.62%\", \"bbox\": [166, 291, 186, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 291, 216, 298]}, {\"cell\": \"2.48%\", \"bbox\": [234, 291, 254, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>GERMINOMA</b>\", \"bbox\": [54, 304, 101, 314]}, {\"cell\": \"7.45%\", \"bbox\": [133, 305, 154, 312]}, {\"cell\": \"0.00%\", \"bbox\": [166, 305, 186, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 305, 216, 312]}, {\"cell\": \"7.45%\", \"bbox\": [234, 305, 254, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>CONTROLS</b>\", \"bbox\": [54, 318, 93, 328]}, {\"cell\": \"75.16%\", \"bbox\": [133, 319, 158, 326]}, {\"cell\": \"45.34%\", \"bbox\": [166, 319, 190, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 319, 220, 326]}, {\"cell\": \"7.45%\", \"bbox\": [234, 319, 254, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>FETAL</b>\", \"bbox\": [54, 332, 77, 342]}, {\"cell\": \"47.20%\", \"bbox\": [133, 333, 158, 340]}, {\"cell\": \"24.84%\", \"bbox\": [166, 333, 190, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 333, 220, 340]}, {\"cell\": \"2.48%\", \"bbox\": [234, 333, 254, 340]}, {\"cell\": \"0.00%\", \"bbox\": [309, 333, 330, 340]}, {\"cell\": \"0.00%\", \"bbox\": [389, 333, 409, 340]}, {\"cell\": \"0.00%\", \"bbox\": [414, 333, 434, 340]}, {\"cell\": \"47.20%\", \"bbox\": [465, 333, 489, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>INFANT</b>\", \"bbox\": [54, 346, 82, 356]}, {\"cell\": \"11.80%\", \"bbox\": [133, 347, 158, 354]}, {\"cell\": \"9.32%\", \"bbox\": [166, 347, 186, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 347, 216, 354]}, {\"cell\": \"0.00%\", \"bbox\": [234, 347, 254, 354]}, {\"cell\": \"0.62%\", \"bbox\": [309, 347, 330, 354]}, {\"cell\": \"1.24%\", \"bbox\": [389, 347, 409, 354]}, {\"cell\": \"0.00%\", \"bbox\": [414, 347, 434, 354]}, {\"cell\": \"9.94%\", \"bbox\": [465, 347, 485, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>CHILD</b>\", \"bbox\": [54, 360, 77, 370]}, {\"cell\": \"24.84%\", \"bbox\": [133, 361, 158, 368]}, {\"cell\": \"5.59%\", \"bbox\": [166, 361, 186, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 361, 216, 368]}, {\"cell\": \"13.04%\", \"bbox\": [234, 361, 258, 368]}, {\"cell\": \"9.32%\", \"bbox\": [309, 361, 330, 368]}, {\"cell\": \"3.73%\", \"bbox\": [389, 361, 409, 368]}, {\"cell\": \"5.59%\", \"bbox\": [414, 361, 434, 368]}, {\"cell\": \"6.21%\", \"bbox\": [465, 361, 485, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ADOLESCENT</b>\", \"bbox\": [54, 374, 102, 384]}, {\"cell\": \"3.73%\", \"bbox\": [133, 375, 154, 382]}, {\"cell\": \"1.86%\", \"bbox\": [166, 375, 186, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 375, 216, 382]}, {\"cell\": \"1.86%\", \"bbox\": [234, 375, 254, 382]}, {\"cell\": \"1.86%\", \"bbox\": [309, 375, 330, 382]}, {\"cell\": \"0.00%\", \"bbox\": [389, 375, 409, 382]}, {\"cell\": \"1.86%\", \"bbox\": [414, 375, 434, 382]}, {\"cell\": \"0.00%\", \"bbox\": [465, 375, 485, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ADULT</b>\", \"bbox\": [54, 388, 79, 398]}, {\"cell\": \"3.11%\", \"bbox\": [133, 389, 154, 396]}, {\"cell\": \"1.24%\", \"bbox\": [166, 389, 186, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 389, 216, 396]}, {\"cell\": \"1.86%\", \"bbox\": [234, 389, 254, 396]}, {\"cell\": \"0.00%\", \"bbox\": [309, 389, 330, 396]}, {\"cell\": \"0.00%\", \"bbox\": [389, 389, 409, 396]}, {\"cell\": \"0.00%\", \"bbox\": [414, 389, 434, 396]}, {\"cell\": \"3.11%\", \"bbox\": [465, 389, 485, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4342799_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}102{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>LEIO</b></td><td><b>LIPOm</b></td><td><b>FIBRO</b></td><td><b>SYN</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td><b>hsa-miR-128b</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>hsa-miR-100</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>hsa-miR-99a</i></b></td><td>hsa-miR-17-3p1</td><td>hsa-miR-1071</td><td>[EMPTY_CELL]</td><td><b>Activated</b></td></tr><tr><td><b><i>hsa-miR-212</i></b></td><td>[EMPTY_CELL]</td><td>hsa-miR-128a</td><td>[EMPTY_CELL]</td><td><b>miRNAs</b></td></tr><tr><td><b>hsa-miR-199b</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>hsa-miR-981</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>hsa-miR-30a-3p</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>hsa-miR-374</td><td><b>hsa-miR-302a*</b></td><td>hsa-miR-154*</td><td>[EMPTY_CELL]</td><td><b>Silenced miRNAs</b></td></tr><tr><td><b>hsa-miR-361</b></td><td>hsa-miR-130</td><td>hsa-miR-211</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>hsa-miR-208</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\"><b>OSTEOSARCOMA SPECIFIC miRNAs</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>hsa-miR-122a</i></b></td><td>hsa-miR-7 g</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>hsa-miR-18</td><td><b><i>hsa-miR-147</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>hsa-miR-34c</i></b></td><td><b><i>hsa-miR-210</i></b></td><td><b>Activated mIRNAs</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>hsa-miR-375</b></td><td><b><i>hsa-miR-187</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>hsa-miR-204</i></b></td><td><b><i>hsa-miR-134</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>hsa-miR-138</i></b></td><td><b><i>hsa-miR-211</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>LEIO</b>\", \"bbox\": [16, 3, 34, 12]}, {\"cell\": \"<b>LIPOm</b>\", \"bbox\": [116, 3, 141, 12]}, {\"cell\": \"<b>FIBRO</b>\", \"bbox\": [227, 3, 250, 12]}, {\"cell\": \"<b>SYN</b>\", \"bbox\": [340, 3, 356, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>hsa-miR-128b</b>\", \"bbox\": [0, 16, 50, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>hsa-miR-100</i></b>\", \"bbox\": [3, 30, 47, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>hsa-miR-99a</i></b>\", \"bbox\": [3, 43, 47, 51]}, {\"cell\": \"hsa-miR-17-3p1\", \"bbox\": [104, 42, 153, 53]}, {\"cell\": \"hsa-miR-1071\", \"bbox\": [217, 42, 260, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 42, 350, 51]}, {\"cell\": \"<b>Activated</b>\", \"bbox\": [437, 42, 472, 51]}, {\"cell\": \"<b><i>hsa-miR-212</i></b>\", \"bbox\": [3, 57, 47, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-128a\", \"bbox\": [216, 56, 261, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>miRNAs</b>\", \"bbox\": [440, 56, 469, 64]}, {\"cell\": \"<b>hsa-miR-199b</b>\", \"bbox\": [1, 69, 50, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>hsa-miR-981</b>\", \"bbox\": [4, 82, 47, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 95, 369, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 108, 370, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 121, 370, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-30a-3p\", \"bbox\": [213, 134, 264, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 134, 370, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-374\", \"bbox\": [5, 148, 46, 158]}, {\"cell\": \"<b>hsa-miR-302a*</b>\", \"bbox\": [102, 148, 154, 156]}, {\"cell\": \"hsa-miR-154*\", \"bbox\": [217, 148, 261, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 148, 370, 156]}, {\"cell\": \"<b>Silenced miRNAs</b>\", \"bbox\": [424, 148, 484, 156]}, {\"cell\": \"<b>hsa-miR-361</b>\", \"bbox\": [3, 161, 48, 170]}, {\"cell\": \"hsa-miR-130\", \"bbox\": [108, 161, 149, 171]}, {\"cell\": \"hsa-miR-211\", \"bbox\": [219, 161, 258, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 161, 369, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>hsa-miR-208</b>\", \"bbox\": [216, 174, 261, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 174, 370, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 187, 368, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 200, 372, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 213, 368, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 227, 372, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 240, 371, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>OSTEOSARCOMA SPECIFIC miRNAs</b>\", \"bbox\": [74, 253, 197, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>hsa-miR-122a</i></b>\", \"bbox\": [1, 267, 49, 275]}, {\"cell\": \"hsa-miR-7 g\", \"bbox\": [108, 266, 148, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"hsa-miR-18\", \"bbox\": [7, 279, 44, 289]}, {\"cell\": \"<b><i>hsa-miR-147</i></b>\", \"bbox\": [106, 280, 150, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>hsa-miR-34c</i></b>\", \"bbox\": [4, 293, 47, 301]}, {\"cell\": \"<b><i>hsa-miR-210</i></b>\", \"bbox\": [106, 293, 150, 301]}, {\"cell\": \"<b>Activated mIRNAs</b>\", \"bbox\": [207, 292, 271, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>hsa-miR-375</b>\", \"bbox\": [3, 305, 48, 314]}, {\"cell\": \"<b><i>hsa-miR-187</i></b>\", \"bbox\": [106, 306, 150, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>hsa-miR-204</i></b>\", \"bbox\": [3, 320, 47, 327]}, {\"cell\": \"<b><i>hsa-miR-134</i></b>\", \"bbox\": [106, 320, 150, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>hsa-miR-138</i></b>\", \"bbox\": [3, 333, 47, 340]}, {\"cell\": \"<b><i>hsa-miR-211</i></b>\", \"bbox\": [106, 333, 150, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3443663_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}103{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Molecule</b></td><td><b>Model</b></td><td><b>Evidences</b></td><td><b>Ref. </b></td></tr></thead><tbody><tr><td>Vitamin E</td><td><i>β</i>-thal intermedia patients <i>(in vivo </i>study) </td><td>[EMPTY_CELL]</td><td>[70–72]</td></tr><tr><td>Curcumin</td><td><i>β</i>-thal patients<i>(in vitro </i>study) <i>β</i>-thal/HbE patients <i>(in vivo </i>study) </td><td>[EMPTY_CELL]</td><td>[73, 74] </td></tr><tr><td>FPP</td><td><i>β</i>-thal major and intermedia patients <i>(in vitro </i>study) <i>β</i>-thal/HbE patients <i>(in vivo </i>study) <i>β</i>-thal mouse model <i>(in vivo) </i></td><td>[EMPTY_CELL]</td><td>[73, 75]</td></tr><tr><td>MonoHER</td><td><i>β</i>-thal mouse model<i>(in vivo) </i></td><td>[EMPTY_CELL]</td><td>[66] </td></tr><tr><td>AD4</td><td><i>β</i>-thal major and intermedia patients <i>(in vitro </i>study) <i>β</i>-thal mouse model<i>(in vivo </i>study) </td><td>[EMPTY_CELL]</td><td>[76] </td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Molecule</b>\", \"bbox\": [2, 5, 38, 15]}, {\"cell\": \"<b>Model</b>\", \"bbox\": [106, 5, 131, 15]}, {\"cell\": \"<b>Evidences</b>\", \"bbox\": [262, 5, 300, 15]}, {\"cell\": \"<b>Ref. </b>\", \"bbox\": [476, 4, 492, 15]}, {\"cell\": \"Vitamin E\", \"bbox\": [2, 38, 41, 49]}, {\"cell\": \"<i>β</i>-thal intermedia patients <i>(in vivo </i>study) \", \"bbox\": [106, 30, 202, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 14, 404, 70]}, {\"cell\": \"[70–72]\", \"bbox\": [469, 38, 499, 48]}, {\"cell\": \"Curcumin\", \"bbox\": [2, 88, 42, 98]}, {\"cell\": \"<i>β</i>-thal patients<i>(in vitro </i>study) <i>β</i>-thal/HbE patients <i>(in vivo </i>study) \", \"bbox\": [106, 69, 180, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 74, 408, 109]}, {\"cell\": \"[73, 74] \", \"bbox\": [470, 87, 498, 97]}, {\"cell\": \"FPP\", \"bbox\": [2, 152, 19, 163]}, {\"cell\": \"<i>β</i>-thal major and intermedia patients <i>(in vitro </i>study) <i>β</i>-thal/HbE patients <i>(in vivo </i>study) <i>β</i>-thal mouse model <i>(in vivo) </i>\", \"bbox\": [106, 118, 181, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 123, 346, 179]}, {\"cell\": \"[73, 75]\", \"bbox\": [470, 152, 498, 162]}, {\"cell\": \"MonoHER\", \"bbox\": [2, 233, 44, 243]}, {\"cell\": \"<i>β</i>-thal mouse model<i>(in vivo) </i>\", \"bbox\": [106, 224, 181, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 193, 411, 270]}, {\"cell\": \"[66] \", \"bbox\": [475, 232, 492, 243]}, {\"cell\": \"AD4\", \"bbox\": [2, 302, 22, 313]}, {\"cell\": \"<i>β</i>-thal major and intermedia patients <i>(in vitro </i>study) <i>β</i>-thal mouse model<i>(in vivo </i>study) \", \"bbox\": [106, 278, 181, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 278, 346, 334]}, {\"cell\": \"[76] \", \"bbox\": [476, 302, 492, 312]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3800594_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}104{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Group</b></td><td><b>Acupoint</b></td><td><b>Manipulation</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>EX-HN 15 (<i>Jingbailao</i>)</td><td rowspan=\\\"2\\\">The needle-punching depth in the each acupoint is 0.5 to 0.8 cun. The sensation (denominated <i>de-qi</i>) is necessary</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>EX-HN 15 (<i>Jingbailao</i>)</td><td rowspan=\\\"2\\\">The needles are pierced through the skin for 0.2 cun and not enough to produce <i>de-qi</i></td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Non-acupoint 1</td><td rowspan=\\\"2\\\">The needle-punching depth in the acupoints is 0.5 to 0.8 cun. The sensation (denominated <i>de-qi</i>) is necessary</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Non-acupoint 1</td><td rowspan=\\\"2\\\">The needles are pierced through the skin for 0.2 cun and not enough to produce <i>de-qi</i></td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>EX-HN 15 (<i>Jingbailao</i>)</td><td rowspan=\\\"2\\\">The placebo needle tip is pressed and fixed on the skin of the acupoint</td></tr><tr><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Group</b>\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"<b>Acupoint</b>\", \"bbox\": [93, 4, 124, 13]}, {\"cell\": \"<b>Manipulation</b>\", \"bbox\": [167, 4, 211, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 77, 36]}, {\"cell\": \"EX-HN 15 (<i>Jingbailao</i>)\", \"bbox\": [93, 17, 163, 27]}, {\"cell\": \"The needle-punching depth in the each acupoint is 0.5 to 0.8 cun. The sensation (denominated <i>de-qi</i>) is necessary\", \"bbox\": [167, 17, 477, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 31, 159, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 45, 60, 73]}, {\"cell\": \"EX-HN 15 (<i>Jingbailao</i>)\", \"bbox\": [93, 45, 163, 55]}, {\"cell\": \"The needles are pierced through the skin for 0.2 cun and not enough to produce <i>de-qi</i>\", \"bbox\": [167, 45, 394, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 59, 159, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 77, 88, 96]}, {\"cell\": \"Non-acupoint 1\", \"bbox\": [93, 77, 145, 87]}, {\"cell\": \"The needle-punching depth in the acupoints is 0.5 to 0.8 cun. The sensation (denominated <i>de-qi</i>) is necessary\", \"bbox\": [167, 77, 383, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 91, 145, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 105, 72, 133]}, {\"cell\": \"Non-acupoint 1\", \"bbox\": [93, 105, 145, 115]}, {\"cell\": \"The needles are pierced through the skin for 0.2 cun and not enough to produce <i>de-qi</i>\", \"bbox\": [167, 105, 394, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 119, 145, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 137, 51, 156]}, {\"cell\": \"EX-HN 15 (<i>Jingbailao</i>)\", \"bbox\": [93, 137, 163, 147]}, {\"cell\": \"The placebo needle tip is pressed and fixed on the skin of the acupoint\", \"bbox\": [167, 137, 400, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 151, 159, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5504675_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}105{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Birth weight categories (kg)</b></td><td rowspan=\\\"2\\\"><b>p value</b></td><td rowspan=\\\"2\\\"><b>Linear</b></td><td rowspan=\\\"2\\\"><b>Quadratic</b></td></tr><tr><td><b>−2.5] (n = 73)</b></td><td><b>]2.5–3.5] (n = 556)</b></td><td><b>]3.5–4.0] (n = 266)</b></td><td><b>]4.0+ (n = 193)</b></td></tr></thead><tbody><tr><td colspan=\\\"8\\\">Anthropometry<sup>a</sup></td></tr><tr><td> Height (cm)</td><td>175 ± 1</td><td>176 ± 1</td><td>178 ± 1</td><td>179 ± 1</td><td>[EMPTY_CELL]</td><td><0.001</td><td>0.306</td></tr><tr><td> Weight (kg)</td><td>80.6 ± 1.5</td><td>80.0 ± 0.5</td><td>84.6 ± 0.8</td><td>86.9 ± 0.9</td><td>[EMPTY_CELL]</td><td><0.001</td><td>0.147</td></tr><tr><td> BMI (kg/m<sup>2</sup>)</td><td>26.2 ± 0.4</td><td>26.0 ± 0.2</td><td>26.8 ± 0.2</td><td>27.1 ± 0.3</td><td>[EMPTY_CELL]</td><td>0.024</td><td>0.328</td></tr><tr><td> Waist circumference (cm)</td><td>94.8 ± 1.2</td><td>93.7 ± 0.4</td><td>96.1 ± 0.6</td><td>97.3 ± 0.8</td><td>[EMPTY_CELL]</td><td>0.022</td><td>0.168</td></tr><tr><td> Fat (% of body weight)</td><td>23.7 ± 0.6</td><td>22.4 ± 0.2</td><td>23.3 ± 0.3</td><td>23.4 ± 0.4</td><td>[EMPTY_CELL]</td><td>0.946</td><td>0.075</td></tr><tr><td> Fat mass (kg)</td><td>19.4 ± 0.8</td><td>18.3 ± 0.3</td><td>20.2 ± 0.4</td><td>20.9 ± 0.5</td><td>[EMPTY_CELL]</td><td>0.035</td><td>0.117</td></tr><tr><td> Normal weight</td><td>0.75 (0.45–1.26)</td><td>1 (ref.)</td><td><i>0.71 (0.52–0.96)</i></td><td><i>0.47 (0.33–0.68)</i></td><td>[EMPTY_CELL]</td><td>0.055</td><td>0.043</td></tr><tr><td> Abdominal obesity</td><td>0.90 (0.48–1.70)</td><td>1 (ref.)</td><td>1.27 (0.89–1.82)</td><td><i>1.72 (1.17–2.53)</i></td><td>[EMPTY_CELL]</td><td>0.039</td><td>0.610</td></tr><tr><td colspan=\\\"8\\\">Adipokines</td></tr><tr><td> Leptin (ng/dL)<sup>a</sup></td><td>10.0 ± 1.0</td><td>8.6 ± 0.3</td><td>8.2 ± 0.5</td><td>8.7 ± 0.6</td><td>[EMPTY_CELL]</td><td>0.544<sup>§</sup></td><td>0.209<sup>§</sup></td></tr><tr><td> Leptin (ng/dL)<sup>b</sup></td><td>10.1 ± 0.8</td><td>9.0 ± 0.3</td><td>8.0 ± 0.4</td><td>7.9 ± 0.5</td><td>[EMPTY_CELL]</td><td>0.039<sup>§</sup></td><td>0.534<sup>§</sup></td></tr><tr><td> Leptin (ng/dL)<sup>c</sup></td><td>10.1 ± 0.8</td><td>9.0 ± 0.3</td><td>8.0 ± 0.4</td><td>7.8 ± 0.5</td><td>[EMPTY_CELL]</td><td>0.031<sup>§</sup></td><td>0.721<sup>§</sup></td></tr><tr><td> Leptin (ng/dL)<sup>d</sup></td><td>9.8 ± 0.8</td><td>9.1 ± 0.3</td><td>7.8 ± 0.4</td><td>7.7 ± 0.5</td><td>[EMPTY_CELL]</td><td>0.020<sup>§</sup></td><td>0.625<sup>§</sup></td></tr><tr><td> Leptin/fat mass ratio<sup>b</sup></td><td>0.46 ± 0.05</td><td>0.45 ± 0.02</td><td>0.39 ± 0.02</td><td>0.38 ± 0.03</td><td>[EMPTY_CELL]</td><td>0.078</td><td>0.942</td></tr><tr><td> Adiponectin (μg/dL)<sup>a</sup></td><td>8.1 ± 0.7</td><td>7.2 ± 0.2</td><td>7.1 ± 0.4</td><td>7.3 ± 0.4</td><td>[EMPTY_CELL]</td><td>0.875<sup>§</sup></td><td>0.745<sup>§</sup></td></tr><tr><td> Adiponectin (μg/dL)<sup>b</sup></td><td>8.1 ± 0.7</td><td>7.1 ± 0.2</td><td>7.1 ± 0.4</td><td>7.4 ± 0.4</td><td>[EMPTY_CELL]</td><td>0.827<sup>§</sup></td><td>0.639<sup>§</sup></td></tr><tr><td> Adiponectin (μg/dL)<sup>c</sup></td><td>8.1 ± 0.7</td><td>7.1 ± 0.2</td><td>7.1 ± 0.4</td><td>7.5 ± 0.4</td><td>[EMPTY_CELL]</td><td>0.820<sup>§</sup></td><td>0.592<sup>§</sup></td></tr><tr><td> Adiponectin (μg/dL)<sup>d</sup></td><td>8.1 ± 0.7</td><td>7.1 ± 0.2</td><td>7.2 ± 0.4</td><td>7.4 ± 0.4</td><td>[EMPTY_CELL]</td><td>0.838<sup>§</sup></td><td>0.577<sup>§</sup></td></tr><tr><td colspan=\\\"8\\\">Markers of glucose homeostasis</td></tr><tr><td> Fasting Glucose (mmol/L)<sup>b, e</sup></td><td>5.64 ± 0.11</td><td>5.65 ± 0.04</td><td>5.68 ± 0.06</td><td>5.62 ± 0.07</td><td>[EMPTY_CELL]</td><td>0.930</td><td>0.673</td></tr><tr><td> Fasting Insulin (μU/mL)<sup>b, e</sup></td><td>9.5 ± 0.8</td><td>9.8 ± 0.3</td><td>8.8 ± 0.4</td><td>9.1 ± 0.5</td><td>[EMPTY_CELL]</td><td>0.434</td><td>0.894</td></tr><tr><td> HOMA<sup>b, e</sup></td><td>2.50 ± 0.25</td><td>2.55 ± 0.09</td><td>2.36 ± 0.13</td><td>2.39 ± 0.15</td><td>[EMPTY_CELL]</td><td>0.571</td><td>0.946</td></tr><tr><td> Diabetes<sup>b</sup></td><td>2.31 (0.96–5.60)</td><td>1 (ref.)</td><td>0.86 (0.44–1.68)</td><td>0.75 (0.36–1.59)</td><td>[EMPTY_CELL]</td><td>0.029</td><td>0.257</td></tr><tr><td> Diabetes<sup>c</sup></td><td>2.23 (0.92–5.41)</td><td>1 (ref.)</td><td>0.88 (0.45–1.72)</td><td>0.72 (0.34–1.52)</td><td>[EMPTY_CELL]</td><td>0.030</td><td>0.337</td></tr><tr><td> Diabetes<sup>d</sup></td><td>2.19 (0.90–5.33)</td><td>1 (ref.)</td><td>0.87 (0.44–1.71)</td><td>0.71 (0.33–1.53)</td><td>[EMPTY_CELL]</td><td>0.032</td><td>0.352</td></tr><tr><td> High HOMA<sup>b</sup></td><td>0.84 (0.44–1.60)</td><td>1 (ref.)</td><td>0.77 (0.52–1.13)</td><td>0.67 (0.44–1.03)</td><td>[EMPTY_CELL]</td><td>0.407</td><td>0.451</td></tr><tr><td> Metabolic syndrome<sup>a</sup></td><td>0.96 (0.52–1.76)</td><td>1 (ref.)</td><td>1.05 (0.73–1.50)</td><td><i>1.49 (1.02–2.17)</i></td><td>[EMPTY_CELL]</td><td>0.185</td><td>0.410</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Birth weight categories (kg)</b>\", \"bbox\": [103, 4, 200, 14]}, {\"cell\": \"<b>p value</b>\", \"bbox\": [379, 4, 406, 14]}, {\"cell\": \"<b>Linear</b>\", \"bbox\": [415, 4, 439, 14]}, {\"cell\": \"<b>Quadratic</b>\", \"bbox\": [448, 4, 484, 14]}, {\"cell\": \"<b>−2.5] (n = 73)</b>\", \"bbox\": [103, 20, 153, 30]}, {\"cell\": \"<b>]2.5–3.5] (n = 556)</b>\", \"bbox\": [164, 20, 230, 30]}, {\"cell\": \"<b>]3.5–4.0] (n = 266)</b>\", \"bbox\": [239, 20, 304, 30]}, {\"cell\": \"<b>]4.0+ (n = 193)</b>\", \"bbox\": [313, 20, 367, 30]}, {\"cell\": \"Anthropometry<sup>a</sup>\", \"bbox\": [1, 37, 55, 48]}, {\"cell\": \" Height (cm)\", \"bbox\": [5, 50, 45, 60]}, {\"cell\": \"175 ± 1\", \"bbox\": [103, 50, 130, 60]}, {\"cell\": \"176 ± 1\", \"bbox\": [164, 50, 192, 60]}, {\"cell\": \"178 ± 1\", \"bbox\": [239, 50, 266, 60]}, {\"cell\": \"179 ± 1\", \"bbox\": [313, 50, 340, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 50, 403, 60]}, {\"cell\": \"<0.001\", \"bbox\": [415, 50, 439, 60]}, {\"cell\": \"0.306\", \"bbox\": [448, 50, 467, 60]}, {\"cell\": \" Weight (kg)\", \"bbox\": [5, 62, 44, 72]}, {\"cell\": \"80.6 ± 1.5\", \"bbox\": [103, 62, 137, 72]}, {\"cell\": \"80.0 ± 0.5\", \"bbox\": [164, 62, 199, 72]}, {\"cell\": \"84.6 ± 0.8\", \"bbox\": [239, 62, 273, 72]}, {\"cell\": \"86.9 ± 0.9\", \"bbox\": [313, 62, 347, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 62, 403, 72]}, {\"cell\": \"<0.001\", \"bbox\": [415, 62, 439, 72]}, {\"cell\": \"0.147\", \"bbox\": [448, 62, 467, 72]}, {\"cell\": \" BMI (kg/m<sup>2</sup>)\", \"bbox\": [5, 73, 45, 84]}, {\"cell\": \"26.2 ± 0.4\", \"bbox\": [103, 74, 137, 84]}, {\"cell\": \"26.0 ± 0.2\", \"bbox\": [164, 74, 199, 84]}, {\"cell\": \"26.8 ± 0.2\", \"bbox\": [239, 74, 273, 84]}, {\"cell\": \"27.1 ± 0.3\", \"bbox\": [313, 74, 347, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 74, 403, 84]}, {\"cell\": \"0.024\", \"bbox\": [420, 74, 439, 84]}, {\"cell\": \"0.328\", \"bbox\": [448, 74, 467, 84]}, {\"cell\": \" Waist circumference (cm)\", \"bbox\": [5, 86, 88, 96]}, {\"cell\": \"94.8 ± 1.2\", \"bbox\": [103, 86, 137, 96]}, {\"cell\": \"93.7 ± 0.4\", \"bbox\": [164, 86, 199, 96]}, {\"cell\": \"96.1 ± 0.6\", \"bbox\": [239, 86, 273, 96]}, {\"cell\": \"97.3 ± 0.8\", \"bbox\": [313, 86, 347, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 86, 403, 96]}, {\"cell\": \"0.022\", \"bbox\": [420, 86, 439, 96]}, {\"cell\": \"0.168\", \"bbox\": [448, 86, 467, 96]}, {\"cell\": \" Fat (% of body weight)\", \"bbox\": [5, 99, 79, 108]}, {\"cell\": \"23.7 ± 0.6\", \"bbox\": [103, 99, 137, 108]}, {\"cell\": \"22.4 ± 0.2\", \"bbox\": [164, 99, 198, 108]}, {\"cell\": \"23.3 ± 0.3\", \"bbox\": [239, 99, 273, 108]}, {\"cell\": \"23.4 ± 0.4\", \"bbox\": [313, 99, 347, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 99, 398, 108]}, {\"cell\": \"0.946\", \"bbox\": [420, 99, 439, 108]}, {\"cell\": \"0.075\", \"bbox\": [448, 99, 467, 108]}, {\"cell\": \" Fat mass (kg)\", \"bbox\": [5, 111, 48, 120]}, {\"cell\": \"19.4 ± 0.8\", \"bbox\": [103, 111, 137, 120]}, {\"cell\": \"18.3 ± 0.3\", \"bbox\": [164, 111, 198, 120]}, {\"cell\": \"20.2 ± 0.4\", \"bbox\": [239, 111, 273, 120]}, {\"cell\": \"20.9 ± 0.5\", \"bbox\": [313, 111, 347, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 111, 403, 120]}, {\"cell\": \"0.035\", \"bbox\": [420, 111, 439, 120]}, {\"cell\": \"0.117\", \"bbox\": [448, 111, 467, 120]}, {\"cell\": \" Normal weight\", \"bbox\": [5, 123, 55, 132]}, {\"cell\": \"0.75 (0.45–1.26)\", \"bbox\": [103, 123, 154, 132]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 123, 186, 132]}, {\"cell\": \"<i>0.71 (0.52–0.96)</i>\", \"bbox\": [239, 123, 288, 132]}, {\"cell\": \"<i>0.47 (0.33–0.68)</i>\", \"bbox\": [313, 123, 362, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 123, 385, 132]}, {\"cell\": \"0.055\", \"bbox\": [420, 123, 439, 132]}, {\"cell\": \"0.043\", \"bbox\": [448, 123, 467, 132]}, {\"cell\": \" Abdominal obesity\", \"bbox\": [5, 135, 68, 144]}, {\"cell\": \"0.90 (0.48–1.70)\", \"bbox\": [103, 135, 154, 144]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 135, 186, 144]}, {\"cell\": \"1.27 (0.89–1.82)\", \"bbox\": [239, 135, 290, 144]}, {\"cell\": \"<i>1.72 (1.17–2.53)</i>\", \"bbox\": [313, 135, 362, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 135, 385, 144]}, {\"cell\": \"0.039\", \"bbox\": [420, 135, 439, 144]}, {\"cell\": \"0.610\", \"bbox\": [448, 135, 467, 144]}, {\"cell\": \"Adipokines\", \"bbox\": [0, 147, 38, 157]}, {\"cell\": \" Leptin (ng/dL)<sup>a</sup>\", \"bbox\": [5, 158, 55, 169]}, {\"cell\": \"10.0 ± 1.0\", \"bbox\": [103, 159, 137, 169]}, {\"cell\": \"8.6 ± 0.3\", \"bbox\": [164, 159, 195, 169]}, {\"cell\": \"8.2 ± 0.5\", \"bbox\": [239, 159, 269, 169]}, {\"cell\": \"8.7 ± 0.6\", \"bbox\": [313, 159, 343, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 158, 401, 169]}, {\"cell\": \"0.544<sup>§</sup>\", \"bbox\": [420, 158, 442, 169]}, {\"cell\": \"0.209<sup>§</sup>\", \"bbox\": [448, 158, 470, 169]}, {\"cell\": \" Leptin (ng/dL)<sup>b</sup>\", \"bbox\": [5, 170, 56, 181]}, {\"cell\": \"10.1 ± 0.8\", \"bbox\": [103, 171, 137, 181]}, {\"cell\": \"9.0 ± 0.3\", \"bbox\": [164, 171, 195, 181]}, {\"cell\": \"8.0 ± 0.4\", \"bbox\": [239, 171, 269, 181]}, {\"cell\": \"7.9 ± 0.5\", \"bbox\": [313, 171, 343, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 170, 401, 181]}, {\"cell\": \"0.039<sup>§</sup>\", \"bbox\": [420, 170, 442, 181]}, {\"cell\": \"0.534<sup>§</sup>\", \"bbox\": [448, 170, 470, 181]}, {\"cell\": \" Leptin (ng/dL)<sup>c</sup>\", \"bbox\": [5, 182, 55, 193]}, {\"cell\": \"10.1 ± 0.8\", \"bbox\": [103, 183, 137, 193]}, {\"cell\": \"9.0 ± 0.3\", \"bbox\": [164, 183, 195, 193]}, {\"cell\": \"8.0 ± 0.4\", \"bbox\": [239, 183, 269, 193]}, {\"cell\": \"7.8 ± 0.5\", \"bbox\": [313, 183, 343, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 182, 401, 193]}, {\"cell\": \"0.031<sup>§</sup>\", \"bbox\": [420, 182, 442, 193]}, {\"cell\": \"0.721<sup>§</sup>\", \"bbox\": [448, 182, 470, 193]}, {\"cell\": \" Leptin (ng/dL)<sup>d</sup>\", \"bbox\": [5, 194, 56, 205]}, {\"cell\": \"9.8 ± 0.8\", \"bbox\": [103, 195, 133, 205]}, {\"cell\": \"9.1 ± 0.3\", \"bbox\": [164, 195, 195, 205]}, {\"cell\": \"7.8 ± 0.4\", \"bbox\": [239, 195, 269, 205]}, {\"cell\": \"7.7 ± 0.5\", \"bbox\": [313, 195, 343, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 194, 401, 205]}, {\"cell\": \"0.020<sup>§</sup>\", \"bbox\": [420, 194, 442, 205]}, {\"cell\": \"0.625<sup>§</sup>\", \"bbox\": [448, 194, 470, 205]}, {\"cell\": \" Leptin/fat mass ratio<sup>b</sup>\", \"bbox\": [5, 206, 76, 217]}, {\"cell\": \"0.46 ± 0.05\", \"bbox\": [103, 207, 141, 217]}, {\"cell\": \"0.45 ± 0.02\", \"bbox\": [164, 207, 202, 217]}, {\"cell\": \"0.39 ± 0.02\", \"bbox\": [239, 207, 277, 217]}, {\"cell\": \"0.38 ± 0.03\", \"bbox\": [313, 207, 351, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 207, 398, 217]}, {\"cell\": \"0.078\", \"bbox\": [420, 207, 439, 217]}, {\"cell\": \"0.942\", \"bbox\": [448, 207, 467, 217]}, {\"cell\": \" Adiponectin (μg/dL)<sup>a</sup>\", \"bbox\": [5, 218, 75, 229]}, {\"cell\": \"8.1 ± 0.7\", \"bbox\": [103, 220, 133, 229]}, {\"cell\": \"7.2 ± 0.2\", \"bbox\": [164, 220, 195, 229]}, {\"cell\": \"7.1 ± 0.4\", \"bbox\": [239, 220, 269, 229]}, {\"cell\": \"7.3 ± 0.4\", \"bbox\": [313, 220, 343, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 218, 401, 229]}, {\"cell\": \"0.875<sup>§</sup>\", \"bbox\": [420, 218, 442, 229]}, {\"cell\": \"0.745<sup>§</sup>\", \"bbox\": [448, 218, 470, 229]}, {\"cell\": \" Adiponectin (μg/dL)<sup>b</sup>\", \"bbox\": [5, 230, 75, 241]}, {\"cell\": \"8.1 ± 0.7\", \"bbox\": [103, 232, 133, 241]}, {\"cell\": \"7.1 ± 0.2\", \"bbox\": [164, 232, 195, 241]}, {\"cell\": \"7.1 ± 0.4\", \"bbox\": [239, 232, 269, 241]}, {\"cell\": \"7.4 ± 0.4\", \"bbox\": [313, 232, 343, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 230, 401, 241]}, {\"cell\": \"0.827<sup>§</sup>\", \"bbox\": [420, 230, 442, 241]}, {\"cell\": \"0.639<sup>§</sup>\", \"bbox\": [448, 230, 470, 241]}, {\"cell\": \" Adiponectin (μg/dL)<sup>c</sup>\", \"bbox\": [5, 242, 75, 253]}, {\"cell\": \"8.1 ± 0.7\", \"bbox\": [103, 244, 133, 253]}, {\"cell\": \"7.1 ± 0.2\", \"bbox\": [164, 244, 195, 253]}, {\"cell\": \"7.1 ± 0.4\", \"bbox\": [239, 244, 269, 253]}, {\"cell\": \"7.5 ± 0.4\", \"bbox\": [313, 244, 343, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 242, 401, 253]}, {\"cell\": \"0.820<sup>§</sup>\", \"bbox\": [420, 242, 442, 253]}, {\"cell\": \"0.592<sup>§</sup>\", \"bbox\": [448, 242, 470, 253]}, {\"cell\": \" Adiponectin (μg/dL)<sup>d</sup>\", \"bbox\": [5, 254, 75, 265]}, {\"cell\": \"8.1 ± 0.7\", \"bbox\": [103, 256, 133, 265]}, {\"cell\": \"7.1 ± 0.2\", \"bbox\": [164, 256, 195, 265]}, {\"cell\": \"7.2 ± 0.4\", \"bbox\": [239, 256, 269, 265]}, {\"cell\": \"7.4 ± 0.4\", \"bbox\": [313, 256, 343, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 254, 401, 265]}, {\"cell\": \"0.838<sup>§</sup>\", \"bbox\": [420, 254, 442, 265]}, {\"cell\": \"0.577<sup>§</sup>\", \"bbox\": [448, 254, 470, 265]}, {\"cell\": \"Markers of glucose homeostasis\", \"bbox\": [1, 268, 104, 278]}, {\"cell\": \" Fasting Glucose (mmol/L)<sup>b, e</sup>\", \"bbox\": [5, 279, 97, 290]}, {\"cell\": \"5.64 ± 0.11\", \"bbox\": [103, 280, 141, 290]}, {\"cell\": \"5.65 ± 0.04\", \"bbox\": [164, 280, 202, 290]}, {\"cell\": \"5.68 ± 0.06\", \"bbox\": [239, 280, 277, 290]}, {\"cell\": \"5.62 ± 0.07\", \"bbox\": [313, 280, 351, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 280, 398, 290]}, {\"cell\": \"0.930\", \"bbox\": [420, 280, 439, 290]}, {\"cell\": \"0.673\", \"bbox\": [448, 280, 467, 290]}, {\"cell\": \" Fasting Insulin (μU/mL)<sup>b, e</sup>\", \"bbox\": [5, 291, 89, 302]}, {\"cell\": \"9.5 ± 0.8\", \"bbox\": [103, 292, 133, 302]}, {\"cell\": \"9.8 ± 0.3\", \"bbox\": [164, 292, 195, 302]}, {\"cell\": \"8.8 ± 0.4\", \"bbox\": [239, 292, 269, 302]}, {\"cell\": \"9.1 ± 0.5\", \"bbox\": [313, 292, 343, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 292, 398, 302]}, {\"cell\": \"0.434\", \"bbox\": [420, 292, 439, 302]}, {\"cell\": \"0.894\", \"bbox\": [448, 292, 467, 302]}, {\"cell\": \" HOMA<sup>b, e</sup>\", \"bbox\": [5, 303, 36, 314]}, {\"cell\": \"2.50 ± 0.25\", \"bbox\": [103, 304, 141, 314]}, {\"cell\": \"2.55 ± 0.09\", \"bbox\": [164, 304, 202, 314]}, {\"cell\": \"2.36 ± 0.13\", \"bbox\": [239, 304, 277, 314]}, {\"cell\": \"2.39 ± 0.15\", \"bbox\": [313, 304, 351, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 304, 398, 314]}, {\"cell\": \"0.571\", \"bbox\": [420, 304, 439, 314]}, {\"cell\": \"0.946\", \"bbox\": [448, 304, 467, 314]}, {\"cell\": \" Diabetes<sup>b</sup>\", \"bbox\": [5, 315, 39, 326]}, {\"cell\": \"2.31 (0.96–5.60)\", \"bbox\": [103, 316, 154, 326]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 316, 186, 326]}, {\"cell\": \"0.86 (0.44–1.68)\", \"bbox\": [239, 316, 290, 326]}, {\"cell\": \"0.75 (0.36–1.59)\", \"bbox\": [313, 316, 364, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 316, 385, 326]}, {\"cell\": \"0.029\", \"bbox\": [420, 316, 439, 326]}, {\"cell\": \"0.257\", \"bbox\": [448, 316, 467, 326]}, {\"cell\": \" Diabetes<sup>c</sup>\", \"bbox\": [5, 327, 38, 338]}, {\"cell\": \"2.23 (0.92–5.41)\", \"bbox\": [103, 328, 154, 338]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 328, 186, 338]}, {\"cell\": \"0.88 (0.45–1.72)\", \"bbox\": [239, 328, 290, 338]}, {\"cell\": \"0.72 (0.34–1.52)\", \"bbox\": [313, 328, 364, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 328, 385, 338]}, {\"cell\": \"0.030\", \"bbox\": [420, 328, 439, 338]}, {\"cell\": \"0.337\", \"bbox\": [448, 328, 467, 338]}, {\"cell\": \" Diabetes<sup>d</sup>\", \"bbox\": [5, 339, 38, 350]}, {\"cell\": \"2.19 (0.90–5.33)\", \"bbox\": [103, 341, 154, 350]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 341, 186, 350]}, {\"cell\": \"0.87 (0.44–1.71)\", \"bbox\": [239, 341, 290, 350]}, {\"cell\": \"0.71 (0.33–1.53)\", \"bbox\": [313, 341, 364, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 341, 385, 350]}, {\"cell\": \"0.032\", \"bbox\": [420, 341, 439, 350]}, {\"cell\": \"0.352\", \"bbox\": [448, 341, 467, 350]}, {\"cell\": \" High HOMA<sup>b</sup>\", \"bbox\": [5, 351, 49, 362]}, {\"cell\": \"0.84 (0.44–1.60)\", \"bbox\": [103, 353, 154, 362]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 353, 186, 362]}, {\"cell\": \"0.77 (0.52–1.13)\", \"bbox\": [239, 353, 290, 362]}, {\"cell\": \"0.67 (0.44–1.03)\", \"bbox\": [313, 353, 364, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 353, 385, 362]}, {\"cell\": \"0.407\", \"bbox\": [420, 353, 439, 362]}, {\"cell\": \"0.451\", \"bbox\": [448, 353, 467, 362]}, {\"cell\": \" Metabolic syndrome<sup>a</sup>\", \"bbox\": [5, 363, 76, 374]}, {\"cell\": \"0.96 (0.52–1.76)\", \"bbox\": [103, 365, 154, 374]}, {\"cell\": \"1 (ref.)\", \"bbox\": [164, 365, 186, 374]}, {\"cell\": \"1.05 (0.73–1.50)\", \"bbox\": [239, 365, 290, 374]}, {\"cell\": \"<i>1.49 (1.02–2.17)</i>\", \"bbox\": [313, 365, 362, 374]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 365, 385, 374]}, {\"cell\": \"0.185\", \"bbox\": [421, 365, 440, 374]}, {\"cell\": \"0.410\", \"bbox\": [448, 365, 467, 374]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4855501_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}106{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Protein name</b></td><td><b>NCBInr gi#</b></td><td colspan=\\\"2\\\"><b>MDA-MB-435</b></td><td colspan=\\\"2\\\"><b>MDA-MB-435 vec</b></td><td colspan=\\\"2\\\"><b>MDA-MB-435-MRJ(L)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>MASCOT position</b></td><td><b>Sequences matched</b></td><td><b>MASCOT position</b></td><td><b>Sequences matched</b></td><td><b>MASCOT position</b></td><td><b>Sequences matched</b></td></tr></thead><tbody><tr><td>VGF (VGF nerve growth factor)</td><td>17,136,078</td><td>[EMPTY_CELL]</td><td>16</td><td>2</td><td>21</td><td>-</td><td>-</td></tr><tr><td>SPP1 (secreted phosphoprotein 1 [osteopontin])</td><td>4,759,166</td><td>[EMPTY_CELL]</td><td>5</td><td>7</td><td>7</td><td>-</td><td>-</td></tr><tr><td>AZGP1 (zinc α<sub>2</sub>-glycoprotein 1)</td><td>4,502,337</td><td>[EMPTY_CELL]</td><td>1</td><td>32</td><td>1</td><td>-</td><td>-</td></tr><tr><td>SPARC (secreted protein, acidic, cysteine rich [osteonectin])</td><td>4,507,171</td><td>[EMPTY_CELL]</td><td>2</td><td>36</td><td>3</td><td>-</td><td>-</td></tr><tr><td>NPM1 (nucleophosmin 1)</td><td>10,835,063</td><td>[EMPTY_CELL]</td><td>3</td><td>46</td><td>1</td><td>-</td><td>-</td></tr><tr><td>KiSS1 (melanoma metastasis suppressor)</td><td>29,571,104</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>14</td><td>2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Protein name</b>\", \"bbox\": [5, 9, 51, 19]}, {\"cell\": \"<b>NCBInr gi#</b>\", \"bbox\": [165, 9, 206, 19]}, {\"cell\": \"<b>MDA-MB-435</b>\", \"bbox\": [214, 9, 264, 19]}, {\"cell\": \"<b>MDA-MB-435 vec</b>\", \"bbox\": [311, 9, 375, 19]}, {\"cell\": \"<b>MDA-MB-435-MRJ(L)</b>\", \"bbox\": [408, 9, 484, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MASCOT position</b>\", \"bbox\": [214, 26, 250, 44]}, {\"cell\": \"<b>Sequences matched</b>\", \"bbox\": [262, 26, 303, 44]}, {\"cell\": \"<b>MASCOT position</b>\", \"bbox\": [311, 26, 347, 44]}, {\"cell\": \"<b>Sequences matched</b>\", \"bbox\": [359, 26, 400, 44]}, {\"cell\": \"<b>MASCOT position</b>\", \"bbox\": [408, 26, 443, 44]}, {\"cell\": \"<b>Sequences matched</b>\", \"bbox\": [456, 26, 497, 44]}, {\"cell\": \"VGF (VGF nerve growth factor)\", \"bbox\": [5, 53, 113, 63]}, {\"cell\": \"17,136,078\", \"bbox\": [165, 53, 208, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 53, 221, 63]}, {\"cell\": \"16\", \"bbox\": [262, 53, 274, 63]}, {\"cell\": \"2\", \"bbox\": [311, 53, 317, 63]}, {\"cell\": \"21\", \"bbox\": [359, 53, 371, 63]}, {\"cell\": \"-\", \"bbox\": [408, 53, 412, 63]}, {\"cell\": \"-\", \"bbox\": [456, 53, 460, 63]}, {\"cell\": \"SPP1 (secreted phosphoprotein 1 [osteopontin])\", \"bbox\": [5, 69, 124, 87]}, {\"cell\": \"4,759,166\", \"bbox\": [165, 69, 203, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 69, 221, 79]}, {\"cell\": \"5\", \"bbox\": [262, 69, 269, 79]}, {\"cell\": \"7\", \"bbox\": [311, 69, 317, 79]}, {\"cell\": \"7\", \"bbox\": [359, 69, 366, 79]}, {\"cell\": \"-\", \"bbox\": [408, 69, 412, 79]}, {\"cell\": \"-\", \"bbox\": [456, 69, 460, 79]}, {\"cell\": \"AZGP1 (zinc α<sub>2</sub>-glycoprotein 1)\", \"bbox\": [5, 82, 115, 104]}, {\"cell\": \"4,502,337\", \"bbox\": [165, 92, 203, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 92, 225, 102]}, {\"cell\": \"1\", \"bbox\": [262, 92, 269, 102]}, {\"cell\": \"32\", \"bbox\": [311, 92, 322, 102]}, {\"cell\": \"1\", \"bbox\": [359, 92, 366, 102]}, {\"cell\": \"-\", \"bbox\": [408, 92, 412, 102]}, {\"cell\": \"-\", \"bbox\": [456, 92, 460, 102]}, {\"cell\": \"SPARC (secreted protein, acidic, cysteine rich [osteonectin])\", \"bbox\": [5, 108, 150, 126]}, {\"cell\": \"4,507,171\", \"bbox\": [165, 108, 203, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 108, 225, 118]}, {\"cell\": \"2\", \"bbox\": [262, 108, 269, 118]}, {\"cell\": \"36\", \"bbox\": [311, 108, 322, 118]}, {\"cell\": \"3\", \"bbox\": [359, 108, 366, 118]}, {\"cell\": \"-\", \"bbox\": [408, 108, 412, 118]}, {\"cell\": \"-\", \"bbox\": [456, 108, 460, 118]}, {\"cell\": \"NPM1 (nucleophosmin 1)\", \"bbox\": [5, 131, 94, 141]}, {\"cell\": \"10,835,063\", \"bbox\": [165, 131, 208, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 131, 225, 141]}, {\"cell\": \"3\", \"bbox\": [262, 131, 269, 141]}, {\"cell\": \"46\", \"bbox\": [311, 131, 322, 141]}, {\"cell\": \"1\", \"bbox\": [359, 131, 366, 141]}, {\"cell\": \"-\", \"bbox\": [408, 131, 412, 141]}, {\"cell\": \"-\", \"bbox\": [456, 131, 460, 141]}, {\"cell\": \"KiSS1 (melanoma metastasis suppressor)\", \"bbox\": [5, 147, 149, 157]}, {\"cell\": \"29,571,104\", \"bbox\": [165, 147, 208, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 147, 218, 157]}, {\"cell\": \"-\", \"bbox\": [262, 147, 267, 157]}, {\"cell\": \"-\", \"bbox\": [311, 147, 315, 157]}, {\"cell\": \"-\", \"bbox\": [359, 147, 364, 157]}, {\"cell\": \"14\", \"bbox\": [408, 147, 419, 157]}, {\"cell\": \"2\", \"bbox\": [456, 147, 463, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2397520_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}107{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Regional service delivery costs for ART patients</b></td><td><b>Annual cost of inpatient Days (ART patient)</b></td><td><b>Annual cost of outpatient visits (ART patient)</b></td><td><b>Total annual service delivery cost (ART patient)</b></td></tr></thead><tbody><tr><td>Sub-Saharan Africa</td><td>$18.43</td><td>$53.62</td><td>[EMPTY_CELL]</td></tr><tr><td>East Asia</td><td>$36.48</td><td>$64.36</td><td>[EMPTY_CELL]</td></tr><tr><td>Oceania</td><td>$56.33</td><td>$77.62</td><td>[EMPTY_CELL]</td></tr><tr><td>South and South-East Asia</td><td>$29.20</td><td>$64.77</td><td>[EMPTY_CELL]</td></tr><tr><td>Eastern Europe and Central Asia</td><td>$52.07</td><td>$71.82</td><td>[EMPTY_CELL]</td></tr><tr><td>Western and Central Europe</td><td>$106.23</td><td>$239.38</td><td>[EMPTY_CELL]</td></tr><tr><td>North Africa and Middle East</td><td>$63.44</td><td>$73.68</td><td>[EMPTY_CELL]</td></tr><tr><td>Caribbean</td><td>$58.92</td><td>$70.52</td><td>[EMPTY_CELL]</td></tr><tr><td>Latin America</td><td>$59.34</td><td>$72.91</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Regional service delivery costs for ART patients</b>\", \"bbox\": [2, 4, 93, 25]}, {\"cell\": \"<b>Annual cost of inpatient Days (ART patient)</b>\", \"bbox\": [131, 4, 220, 25]}, {\"cell\": \"<b>Annual cost of outpatient visits (ART patient)</b>\", \"bbox\": [260, 4, 353, 25]}, {\"cell\": \"<b>Total annual service delivery cost (ART patient)</b>\", \"bbox\": [391, 4, 495, 25]}, {\"cell\": \"Sub-Saharan Africa\", \"bbox\": [2, 28, 74, 38]}, {\"cell\": \"$18.43\", \"bbox\": [163, 28, 188, 38]}, {\"cell\": \"$53.62\", \"bbox\": [294, 28, 320, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 28, 456, 38]}, {\"cell\": \"East Asia\", \"bbox\": [2, 41, 37, 51]}, {\"cell\": \"$36.48\", \"bbox\": [163, 41, 188, 51]}, {\"cell\": \"$64.36\", \"bbox\": [294, 41, 320, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 41, 458, 51]}, {\"cell\": \"Oceania\", \"bbox\": [2, 54, 34, 64]}, {\"cell\": \"$56.33\", \"bbox\": [163, 54, 188, 64]}, {\"cell\": \"$77.62\", \"bbox\": [294, 54, 320, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 54, 458, 64]}, {\"cell\": \"South and South-East Asia\", \"bbox\": [2, 67, 100, 77]}, {\"cell\": \"$29.20\", \"bbox\": [163, 67, 188, 77]}, {\"cell\": \"$64.77\", \"bbox\": [294, 67, 320, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 67, 456, 77]}, {\"cell\": \"Eastern Europe and Central Asia\", \"bbox\": [2, 79, 104, 100]}, {\"cell\": \"$52.07\", \"bbox\": [163, 84, 188, 95]}, {\"cell\": \"$71.82\", \"bbox\": [294, 84, 320, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 84, 458, 95]}, {\"cell\": \"Western and Central Europe\", \"bbox\": [2, 102, 78, 123]}, {\"cell\": \"$106.23\", \"bbox\": [161, 107, 190, 118]}, {\"cell\": \"$239.38\", \"bbox\": [292, 107, 322, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 107, 458, 118]}, {\"cell\": \"North Africa and Middle East\", \"bbox\": [2, 125, 94, 146]}, {\"cell\": \"$63.44\", \"bbox\": [163, 130, 188, 141]}, {\"cell\": \"$73.68\", \"bbox\": [294, 130, 320, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 130, 458, 141]}, {\"cell\": \"Caribbean\", \"bbox\": [2, 148, 42, 159]}, {\"cell\": \"$58.92\", \"bbox\": [163, 148, 188, 159]}, {\"cell\": \"$70.52\", \"bbox\": [294, 148, 320, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 148, 458, 159]}, {\"cell\": \"Latin America\", \"bbox\": [2, 161, 56, 172]}, {\"cell\": \"$59.34\", \"bbox\": [163, 161, 188, 172]}, {\"cell\": \"$72.91\", \"bbox\": [294, 161, 320, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 161, 458, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3066594_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}108{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Case 1</b></td><td><b>Case 2</b></td><td><b>Case 3</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>64</td><td>55</td><td>55</td></tr><tr><td>[EMPTY_CELL]</td><td>G2P2</td><td>G1P1</td><td>G2P1</td></tr><tr><td>[EMPTY_CELL]</td><td>N</td><td>N</td><td>N</td></tr><tr><td>[EMPTY_CELL]</td><td>N</td><td>N</td><td>Her father died of lung cancer.</td></tr><tr><td>[EMPTY_CELL]</td><td>Left low abdominal pain</td><td>Postmenopausal vagina bleeding</td><td>Vaginal bleeding</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal CA125, CA199 & CA153</td><td>CA199: 89.8 IU/mL; Normal CA125</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>Endometrium 0.2 cm; A mass in the left parametrium; A cyst in the left adnexus</td><td>Endometrium 0.22 cm; Uterine leiomyomas</td><td>A mass in the cervical stump and a cyst in the left ovary</td></tr><tr><td>[EMPTY_CELL]</td><td>TAHBSO + complete staging surgery</td><td>TAHBSO + complete staging surgery</td><td>Radical resection of the cervical stump + BSO + complete staging surgery</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>N</td></tr><tr><td>[EMPTY_CELL]</td><td>Recent case</td><td>Recent case</td><td>Alive with no evidence of cancer (44 months)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Case 1</b>\", \"bbox\": [101, 4, 124, 13]}, {\"cell\": \"<b>Case 2</b>\", \"bbox\": [211, 4, 234, 13]}, {\"cell\": \"<b>Case 3</b>\", \"bbox\": [335, 4, 358, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 28, 27]}, {\"cell\": \"64\", \"bbox\": [101, 17, 110, 27]}, {\"cell\": \"55\", \"bbox\": [211, 17, 221, 27]}, {\"cell\": \"55\", \"bbox\": [335, 17, 345, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 69, 41]}, {\"cell\": \"G2P2\", \"bbox\": [101, 31, 119, 41]}, {\"cell\": \"G1P1\", \"bbox\": [211, 31, 230, 41]}, {\"cell\": \"G2P1\", \"bbox\": [335, 31, 354, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 57, 55]}, {\"cell\": \"N\", \"bbox\": [101, 45, 108, 55]}, {\"cell\": \"N\", \"bbox\": [211, 45, 218, 55]}, {\"cell\": \"N\", \"bbox\": [335, 45, 343, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 82, 69]}, {\"cell\": \"N\", \"bbox\": [101, 59, 108, 69]}, {\"cell\": \"N\", \"bbox\": [211, 59, 218, 69]}, {\"cell\": \"Her father died of lung cancer.\", \"bbox\": [335, 59, 436, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 67, 83]}, {\"cell\": \"Left low abdominal pain\", \"bbox\": [101, 73, 181, 83]}, {\"cell\": \"Postmenopausal vagina bleeding\", \"bbox\": [211, 73, 320, 83]}, {\"cell\": \"Vaginal bleeding\", \"bbox\": [335, 73, 391, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 82, 97]}, {\"cell\": \"Normal CA125, CA199 & CA153\", \"bbox\": [101, 87, 203, 97]}, {\"cell\": \"CA199: 89.8 IU/mL; Normal CA125\", \"bbox\": [211, 87, 322, 97]}, {\"cell\": \"ND\", \"bbox\": [335, 87, 348, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 57, 111]}, {\"cell\": \"Endometrium 0.2 cm; A mass in the left parametrium; A cyst in the left adnexus\", \"bbox\": [101, 101, 205, 129]}, {\"cell\": \"Endometrium 0.22 cm; Uterine leiomyomas\", \"bbox\": [211, 101, 312, 120]}, {\"cell\": \"A mass in the cervical stump and a cyst in the left ovary\", \"bbox\": [335, 101, 465, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 133, 35, 143]}, {\"cell\": \"TAHBSO + complete staging surgery\", \"bbox\": [101, 133, 193, 152]}, {\"cell\": \"TAHBSO + complete staging surgery\", \"bbox\": [211, 133, 329, 143]}, {\"cell\": \"Radical resection of the cervical stump + BSO + complete staging surgery\", \"bbox\": [335, 133, 482, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 95, 166]}, {\"cell\": \"Y\", \"bbox\": [101, 156, 107, 166]}, {\"cell\": \"Y\", \"bbox\": [211, 156, 217, 166]}, {\"cell\": \"N\", \"bbox\": [335, 156, 343, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 84, 180]}, {\"cell\": \"Recent case\", \"bbox\": [101, 170, 141, 180]}, {\"cell\": \"Recent case\", \"bbox\": [211, 170, 251, 180]}, {\"cell\": \"Alive with no evidence of cancer (44 months)\", \"bbox\": [335, 170, 484, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4893213_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}109{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"4\\\"><b>PODXL Expression (<i>n</i> = 262)</b></td><td colspan=\\\"3\\\"><b>RBM3 expression (<i>n</i> = 259)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Non-membranous</b></td><td><b>Membranous</b></td><td>[EMPTY_CELL]</td><td><b>Low (NS = 0–4)</b></td><td><b>High (NS = 6–9)</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>N (%)</td><td>235 (89.7%)</td><td>27 (10.3%)</td><td>[EMPTY_CELL]</td><td>104 (40.2%)</td><td>155 (59.8%)</td><td><i>p-value</i></td></tr><tr><td colspan=\\\"7\\\">Age</td></tr><tr><td> Mean/median</td><td>71.4/71.4</td><td>71.2/72.4</td><td>[EMPTY_CELL]</td><td>72.2/72.5</td><td>70.6/70.5</td><td>0.069</td></tr><tr><td> Range</td><td>51.2–86.6</td><td>56.2–86.8</td><td>[EMPTY_CELL]</td><td>51.3–86.8</td><td>51.2–86.6</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">Sex</td></tr><tr><td> Female</td><td>67 (84.8%)</td><td>12 (15.2%)</td><td>[EMPTY_CELL]</td><td>32 (40.0%)</td><td>48 (60.0%)</td><td>0.973</td></tr><tr><td> Male</td><td>168 (91.8%)</td><td>15 (8.2%)</td><td>[EMPTY_CELL]</td><td>72 (40.2%)</td><td>107 (59.8%)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">T-stage</td></tr><tr><td> Ta</td><td>113 (100.0%)</td><td>0 (0.0%)</td><td>[EMPTY_CELL]</td><td>30 (26.3%)</td><td>84 (73.7%)</td><td><0.001</td></tr><tr><td> T1</td><td>73 (88.0%)</td><td>10 (12.0%)</td><td>[EMPTY_CELL]</td><td>28 (34.6%)</td><td>53 (65.4%)</td><td>[EMPTY_CELL]</td></tr><tr><td> T2–4</td><td>49 (74.2%)</td><td>17 (25.8%)</td><td>[EMPTY_CELL]</td><td>46 (71.9%)</td><td>18 (28.1%)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">Grade</td></tr><tr><td> Low</td><td>128 (99.2%)</td><td>1 (0.8%)</td><td>[EMPTY_CELL]</td><td>27 (20.8%)</td><td>103 (79.2%)</td><td><0.001</td></tr><tr><td> High</td><td>107 (80.5%)</td><td>26 (19.5%)</td><td>[EMPTY_CELL]</td><td>77 (59.7%)</td><td>52 (40.3%)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>PODXL Expression (<i>n</i> = 262)</b>\", \"bbox\": [1, 4, 91, 13]}, {\"cell\": \"<b>RBM3 expression (<i>n</i> = 259)</b>\", \"bbox\": [300, 4, 386, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Non-membranous</b>\", \"bbox\": [84, 17, 144, 26]}, {\"cell\": \"<b>Membranous</b>\", \"bbox\": [173, 17, 218, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Low (NS = 0–4)</b>\", \"bbox\": [300, 17, 350, 26]}, {\"cell\": \"<b>High (NS = 6–9)</b>\", \"bbox\": [379, 17, 431, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N (%)\", \"bbox\": [1, 30, 20, 40]}, {\"cell\": \"235 (89.7%)\", \"bbox\": [84, 30, 123, 40]}, {\"cell\": \"27 (10.3%)\", \"bbox\": [173, 30, 208, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 30, 271, 40]}, {\"cell\": \"104 (40.2%)\", \"bbox\": [300, 30, 338, 40]}, {\"cell\": \"155 (59.8%)\", \"bbox\": [379, 30, 418, 40]}, {\"cell\": \"<i>p-value</i>\", \"bbox\": [460, 30, 484, 40]}, {\"cell\": \"Age\", \"bbox\": [1, 44, 15, 54]}, {\"cell\": \" Mean/median\", \"bbox\": [8, 58, 55, 68]}, {\"cell\": \"71.4/71.4\", \"bbox\": [84, 58, 114, 68]}, {\"cell\": \"71.2/72.4\", \"bbox\": [173, 58, 204, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 58, 265, 68]}, {\"cell\": \"72.2/72.5\", \"bbox\": [300, 58, 330, 68]}, {\"cell\": \"70.6/70.5\", \"bbox\": [379, 58, 409, 68]}, {\"cell\": \"0.069\", \"bbox\": [460, 58, 479, 68]}, {\"cell\": \" Range\", \"bbox\": [8, 72, 30, 82]}, {\"cell\": \"51.2–86.6\", \"bbox\": [84, 72, 116, 82]}, {\"cell\": \"56.2–86.8\", \"bbox\": [173, 72, 205, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"51.3–86.8\", \"bbox\": [300, 72, 331, 82]}, {\"cell\": \"51.2–86.6\", \"bbox\": [379, 72, 411, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex\", \"bbox\": [1, 86, 13, 96]}, {\"cell\": \" Female\", \"bbox\": [8, 100, 34, 110]}, {\"cell\": \"67 (84.8%)\", \"bbox\": [84, 100, 119, 110]}, {\"cell\": \"12 (15.2%)\", \"bbox\": [173, 100, 208, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 100, 265, 110]}, {\"cell\": \"32 (40.0%)\", \"bbox\": [300, 100, 335, 110]}, {\"cell\": \"48 (60.0%)\", \"bbox\": [379, 100, 414, 110]}, {\"cell\": \"0.973\", \"bbox\": [460, 100, 479, 110]}, {\"cell\": \" Male\", \"bbox\": [8, 114, 26, 124]}, {\"cell\": \"168 (91.8%)\", \"bbox\": [84, 114, 123, 124]}, {\"cell\": \"15 (8.2%)\", \"bbox\": [173, 114, 204, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"72 (40.2%)\", \"bbox\": [300, 114, 335, 124]}, {\"cell\": \"107 (59.8%)\", \"bbox\": [379, 114, 418, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T-stage\", \"bbox\": [1, 128, 26, 138]}, {\"cell\": \" Ta\", \"bbox\": [8, 142, 18, 152]}, {\"cell\": \"113 (100.0%)\", \"bbox\": [84, 142, 126, 152]}, {\"cell\": \"0 (0.0%)\", \"bbox\": [173, 142, 201, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 142, 270, 152]}, {\"cell\": \"30 (26.3%)\", \"bbox\": [300, 142, 335, 152]}, {\"cell\": \"84 (73.7%)\", \"bbox\": [379, 142, 414, 152]}, {\"cell\": \"<0.001\", \"bbox\": [460, 142, 483, 152]}, {\"cell\": \" T1\", \"bbox\": [8, 156, 18, 166]}, {\"cell\": \"73 (88.0%)\", \"bbox\": [84, 156, 119, 166]}, {\"cell\": \"10 (12.0%)\", \"bbox\": [173, 156, 208, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"28 (34.6%)\", \"bbox\": [300, 156, 335, 166]}, {\"cell\": \"53 (65.4%)\", \"bbox\": [379, 156, 414, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" T2–4\", \"bbox\": [8, 170, 26, 180]}, {\"cell\": \"49 (74.2%)\", \"bbox\": [84, 170, 119, 180]}, {\"cell\": \"17 (25.8%)\", \"bbox\": [173, 170, 208, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"46 (71.9%)\", \"bbox\": [300, 170, 335, 180]}, {\"cell\": \"18 (28.1%)\", \"bbox\": [379, 170, 414, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Grade\", \"bbox\": [1, 184, 21, 194]}, {\"cell\": \" Low\", \"bbox\": [8, 198, 24, 208]}, {\"cell\": \"128 (99.2%)\", \"bbox\": [84, 198, 123, 208]}, {\"cell\": \"1 (0.8%)\", \"bbox\": [173, 198, 201, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 198, 270, 208]}, {\"cell\": \"27 (20.8%)\", \"bbox\": [300, 198, 335, 208]}, {\"cell\": \"103 (79.2%)\", \"bbox\": [379, 198, 418, 208]}, {\"cell\": \"<0.001\", \"bbox\": [460, 198, 483, 208]}, {\"cell\": \" High\", \"bbox\": [8, 212, 26, 222]}, {\"cell\": \"107 (80.5%)\", \"bbox\": [84, 212, 123, 222]}, {\"cell\": \"26 (19.5%)\", \"bbox\": [173, 212, 208, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"77 (59.7%)\", \"bbox\": [300, 212, 335, 222]}, {\"cell\": \"52 (40.3%)\", \"bbox\": [379, 212, 414, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5348745_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}110{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Angiographic findings and procedural details</b></td><td><b>Low GRACE group (<i>N</i> = 88)</b></td><td><b>Intermediate to high GRACE group (<i>N</i> = 64)</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9 (10.2)</td><td>1 (1.6)</td><td>0.045</td></tr><tr><td>[EMPTY_CELL]</td><td>39 (44.3)</td><td>21 (32.8)</td><td>0.180</td></tr><tr><td>[EMPTY_CELL]</td><td>24 (27.3)</td><td>22 (34.4)</td><td>0.375</td></tr><tr><td>[EMPTY_CELL]</td><td>16 (18.2)</td><td>20 (31.2)</td><td>0.082</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>14 (25.0)</td><td>7 (18.0)</td><td>0.461</td></tr><tr><td>[EMPTY_CELL]</td><td>17 (30.4)</td><td>11 (28.2)</td><td>0.503</td></tr><tr><td>[EMPTY_CELL]</td><td>17 (30.4)</td><td>10 (25.6)</td><td>0.651</td></tr><tr><td>[EMPTY_CELL]</td><td>8 (14.2)</td><td>11 (28.2)</td><td>0.120</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>32 (36.4)</td><td>25 (39.1)</td><td>0.738</td></tr><tr><td>[EMPTY_CELL]</td><td>26 (81.2)</td><td>15 (60.0)</td><td>0.136</td></tr><tr><td>[EMPTY_CELL]</td><td>6 (18.8)</td><td>10 (40.0)</td><td>0.136</td></tr><tr><td>[EMPTY_CELL]</td><td>56 (63.6)</td><td>39 (60.9)</td><td>0.738</td></tr><tr><td>[EMPTY_CELL]</td><td>50 (89.3)</td><td>36 (92.3)</td><td>0.733</td></tr><tr><td>[EMPTY_CELL]</td><td>6 (10.7)</td><td>3 (7.7)</td><td>0.733</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1 (1.8)</td><td>6 (15.4)</td><td>0.018</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0)</td><td>3 (7.7)</td><td>0.066</td></tr><tr><td>[EMPTY_CELL]</td><td>13 (23.2)</td><td>5 (13.2)</td><td>0.290</td></tr><tr><td>[EMPTY_CELL]</td><td>43 (76.8)</td><td>29 (76.3)</td><td>0.574</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Angiographic findings and procedural details</b>\", \"bbox\": [1, 4, 74, 22]}, {\"cell\": \"<b>Low GRACE group (<i>N</i> = 88)</b>\", \"bbox\": [82, 4, 131, 22]}, {\"cell\": \"<b>Intermediate to high GRACE group (<i>N</i> = 64)</b>\", \"bbox\": [135, 4, 207, 22]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [212, 4, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 26, 94, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 40, 50, 50]}, {\"cell\": \"9 (10.2)\", \"bbox\": [82, 40, 108, 50]}, {\"cell\": \"1 (1.6)\", \"bbox\": [135, 40, 156, 50]}, {\"cell\": \"0.045\", \"bbox\": [212, 40, 230, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 54, 76, 64]}, {\"cell\": \"39 (44.3)\", \"bbox\": [82, 54, 111, 64]}, {\"cell\": \"21 (32.8)\", \"bbox\": [135, 54, 164, 64]}, {\"cell\": \"0.180\", \"bbox\": [212, 54, 230, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 68, 78, 78]}, {\"cell\": \"24 (27.3)\", \"bbox\": [82, 68, 111, 78]}, {\"cell\": \"22 (34.4)\", \"bbox\": [135, 68, 164, 78]}, {\"cell\": \"0.375\", \"bbox\": [212, 68, 230, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 82, 74, 92]}, {\"cell\": \"16 (18.2)\", \"bbox\": [82, 82, 111, 92]}, {\"cell\": \"20 (31.2)\", \"bbox\": [135, 82, 164, 92]}, {\"cell\": \"0.082\", \"bbox\": [212, 82, 230, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 96, 127, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 110, 33, 120]}, {\"cell\": \"14 (25.0)\", \"bbox\": [82, 110, 111, 120]}, {\"cell\": \"7 (18.0)\", \"bbox\": [135, 110, 160, 120]}, {\"cell\": \"0.461\", \"bbox\": [212, 110, 230, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 124, 36, 134]}, {\"cell\": \"17 (30.4)\", \"bbox\": [82, 124, 111, 134]}, {\"cell\": \"11 (28.2)\", \"bbox\": [135, 124, 164, 134]}, {\"cell\": \"0.503\", \"bbox\": [212, 124, 230, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 138, 36, 148]}, {\"cell\": \"17 (30.4)\", \"bbox\": [82, 138, 111, 148]}, {\"cell\": \"10 (25.6)\", \"bbox\": [135, 138, 164, 148]}, {\"cell\": \"0.651\", \"bbox\": [212, 138, 230, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 152, 33, 162]}, {\"cell\": \"8 (14.2)\", \"bbox\": [82, 152, 108, 162]}, {\"cell\": \"11 (28.2)\", \"bbox\": [135, 152, 164, 162]}, {\"cell\": \"0.120\", \"bbox\": [212, 152, 230, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 166, 73, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 180, 66, 199]}, {\"cell\": \"32 (36.4)\", \"bbox\": [82, 180, 111, 190]}, {\"cell\": \"25 (39.1)\", \"bbox\": [135, 180, 164, 190]}, {\"cell\": \"0.738\", \"bbox\": [212, 180, 230, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 203, 69, 213]}, {\"cell\": \"26 (81.2)\", \"bbox\": [82, 203, 111, 213]}, {\"cell\": \"15 (60.0)\", \"bbox\": [135, 203, 164, 213]}, {\"cell\": \"0.136\", \"bbox\": [212, 203, 230, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 217, 29, 227]}, {\"cell\": \"6 (18.8)\", \"bbox\": [82, 217, 108, 227]}, {\"cell\": \"10 (40.0)\", \"bbox\": [135, 217, 164, 227]}, {\"cell\": \"0.136\", \"bbox\": [212, 217, 230, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 231, 41, 241]}, {\"cell\": \"56 (63.6)\", \"bbox\": [82, 231, 111, 241]}, {\"cell\": \"39 (60.9)\", \"bbox\": [135, 231, 164, 241]}, {\"cell\": \"0.738\", \"bbox\": [212, 231, 230, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 245, 65, 255]}, {\"cell\": \"50 (89.3)\", \"bbox\": [82, 245, 111, 255]}, {\"cell\": \"36 (92.3)\", \"bbox\": [135, 245, 164, 255]}, {\"cell\": \"0.733\", \"bbox\": [212, 245, 230, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 259, 58, 269]}, {\"cell\": \"6 (10.7)\", \"bbox\": [82, 259, 108, 269]}, {\"cell\": \"3 (7.7)\", \"bbox\": [135, 259, 156, 269]}, {\"cell\": \"0.733\", \"bbox\": [212, 259, 230, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 273, 80, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 287, 28, 297]}, {\"cell\": \"1 (1.8)\", \"bbox\": [82, 287, 104, 297]}, {\"cell\": \"6 (15.4)\", \"bbox\": [135, 287, 160, 297]}, {\"cell\": \"0.018\", \"bbox\": [212, 287, 230, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 301, 76, 311]}, {\"cell\": \"0 (0)\", \"bbox\": [82, 301, 99, 311]}, {\"cell\": \"3 (7.7)\", \"bbox\": [135, 301, 156, 311]}, {\"cell\": \"0.066\", \"bbox\": [212, 301, 230, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 315, 63, 325]}, {\"cell\": \"13 (23.2)\", \"bbox\": [82, 315, 111, 325]}, {\"cell\": \"5 (13.2)\", \"bbox\": [135, 315, 160, 325]}, {\"cell\": \"0.290\", \"bbox\": [212, 315, 230, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 329, 69, 339]}, {\"cell\": \"43 (76.8)\", \"bbox\": [82, 329, 111, 339]}, {\"cell\": \"29 (76.3)\", \"bbox\": [135, 329, 164, 339]}, {\"cell\": \"0.574\", \"bbox\": [212, 329, 230, 339]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5100095_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}111{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Transport parameter</b></td><td rowspan=\\\"2\\\"><b>Host material</b></td><td colspan=\\\"4\\\"><b>Pressure step (mbar)</b></td></tr><tr><td><b>0–117</b></td><td><b>0–200</b></td><td><b>0–200; pre-sat. with Benzene 85 mbar Run 1</b></td><td><b>0–200; pre-sat. with Benzene 85 mbar Run 2</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\"><b><i>D</i></b><b>×</b><b>10<sup>12</sup> (m<sup>2</sup> s<sup>−1</sup>)</b></td><td><b>SAPO-34-microporous</b></td><td><b>4.95</b></td><td><b>4.85</b></td><td>0.756</td><td>[EMPTY_CELL]</td></tr><tr><td><b>SAPO-34-meso-2</b></td><td><b>83.8</b></td><td><b>96.6</b></td><td>5.320</td><td>5.55</td></tr><tr><td rowspan=\\\"2\\\"><b><i>α</i></b><b><i></i></b><b>×</b><b>10<sup>7</sup> (m s<sup>−1</sup>)</b></td><td><b>SAPO-34-microporous</b></td><td>5.67</td><td>73.2</td><td><b>2.13</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>SAPO-34-meso-2</b></td><td>104.84</td><td>125.5</td><td><b>66.9</b></td><td><b>70.6</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Transport parameter</b>\", \"bbox\": [13, 17, 65, 45]}, {\"cell\": \"<b>Host material</b>\", \"bbox\": [110, 24, 176, 38]}, {\"cell\": \"<b>Pressure step (mbar)</b>\", \"bbox\": [303, 2, 403, 17]}, {\"cell\": \"<b>0–117</b>\", \"bbox\": [211, 30, 241, 47]}, {\"cell\": \"<b>0–200</b>\", \"bbox\": [256, 30, 286, 47]}, {\"cell\": \"<b>0–200; pre-sat. with Benzene 85 mbar Run 1</b>\", \"bbox\": [300, 16, 391, 60]}, {\"cell\": \"<b>0–200; pre-sat. with Benzene 85 mbar Run 2</b>\", \"bbox\": [402, 16, 498, 60]}, {\"cell\": \"<b><i>D</i></b><b>×</b><b>10<sup>12</sup> (m<sup>2</sup> s<sup>−1</sup>)</b>\", \"bbox\": [0, 54, 77, 84]}, {\"cell\": \"<b>SAPO-34-microporous</b>\", \"bbox\": [88, 59, 198, 74]}, {\"cell\": \"<b>4.95</b>\", \"bbox\": [216, 59, 237, 74]}, {\"cell\": \"<b>4.85</b>\", \"bbox\": [261, 59, 282, 74]}, {\"cell\": \"0.756\", \"bbox\": [332, 60, 359, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 60, 463, 74]}, {\"cell\": \"<b>SAPO-34-meso-2</b>\", \"bbox\": [102, 73, 184, 88]}, {\"cell\": \"<b>83.8</b>\", \"bbox\": [216, 73, 237, 88]}, {\"cell\": \"<b>96.6</b>\", \"bbox\": [261, 73, 282, 88]}, {\"cell\": \"5.320\", \"bbox\": [332, 74, 359, 88]}, {\"cell\": \"5.55\", \"bbox\": [439, 74, 461, 88]}, {\"cell\": \"<b><i>α</i></b><b><i></i></b><b>×</b><b>10<sup>7</sup> (m s<sup>−1</sup>)</b>\", \"bbox\": [3, 83, 73, 112]}, {\"cell\": \"<b>SAPO-34-microporous</b>\", \"bbox\": [88, 88, 198, 103]}, {\"cell\": \"5.67\", \"bbox\": [216, 88, 237, 103]}, {\"cell\": \"73.2\", \"bbox\": [261, 88, 282, 103]}, {\"cell\": \"<b>2.13</b>\", \"bbox\": [335, 88, 356, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 88, 461, 103]}, {\"cell\": \"<b>SAPO-34-meso-2</b>\", \"bbox\": [102, 102, 184, 117]}, {\"cell\": \"104.84\", \"bbox\": [210, 102, 242, 117]}, {\"cell\": \"125.5\", \"bbox\": [258, 102, 285, 117]}, {\"cell\": \"<b>66.9</b>\", \"bbox\": [335, 102, 356, 117]}, {\"cell\": \"<b>70.6</b>\", \"bbox\": [439, 102, 461, 117]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5521224_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}112{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Histopathological</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Tobacco</b></td><td><b>Duration of</b></td></tr><tr><td><b>Patients</b></td><td><b>Lesion site</b></td><td><b>Diagnosis</b></td><td><b>Age</b></td><td><b>Sex</b></td><td><b>Exposure</b></td><td><b>follow-up(mo)</b></td></tr></thead><tbody><tr><td>1</td><td>Left lateral tongue</td><td>Mild to moderate dysplasia</td><td>45</td><td>female</td><td>[EMPTY_CELL]</td><td>40</td></tr><tr><td>2</td><td>Right lateral palatine</td><td>Mild to moderate dysplasia</td><td>67</td><td>male</td><td>[EMPTY_CELL]</td><td>36</td></tr><tr><td>3</td><td>Right lateral palatine</td><td>Mild to moderate dysplasia</td><td>55</td><td>female</td><td>[EMPTY_CELL]</td><td>39</td></tr><tr><td>4</td><td>right lateral tongue</td><td>Mild to moderate dysplasia</td><td>54</td><td>female</td><td>[EMPTY_CELL]</td><td>36</td></tr><tr><td>5</td><td>right cheek mucosa</td><td>Mild to moderate dysplasia</td><td>64</td><td>male</td><td>[EMPTY_CELL]</td><td>43</td></tr><tr><td>6</td><td>right cheek mocusa</td><td>Mild to moderate dysplasia</td><td>57</td><td>male</td><td>[EMPTY_CELL]</td><td>46</td></tr><tr><td>7</td><td>left cheek mucosa</td><td>Mild dysplasia</td><td>61</td><td>male</td><td>[EMPTY_CELL]</td><td>39</td></tr><tr><td>8</td><td>left lateral tongue</td><td>Severe dysplasia SCC micro-foci</td><td>71</td><td>male</td><td>[EMPTY_CELL]</td><td>29</td></tr><tr><td>9</td><td>lower lip</td><td>Severe dysplasia, SCC micro-foci</td><td>60</td><td>female</td><td>[EMPTY_CELL]</td><td>28</td></tr><tr><td>10</td><td>left cheek</td><td>Severe dysplasia SCC micro-foci</td><td>52</td><td>female</td><td>[EMPTY_CELL]</td><td>34</td></tr><tr><td>11</td><td>palate</td><td>Severe dysplasia</td><td>55</td><td>female</td><td>[EMPTY_CELL]</td><td>35</td></tr><tr><td>12</td><td>left cheek</td><td>Severe dysplasia</td><td>66</td><td>male</td><td>[EMPTY_CELL]</td><td>30</td></tr><tr><td>13</td><td>right lateral tongue</td><td>carcinoma in situ</td><td>61</td><td>female</td><td>[EMPTY_CELL]</td><td>29</td></tr><tr><td>14</td><td>right lateral tongue</td><td>carcinoma in situ</td><td>71</td><td>male</td><td>[EMPTY_CELL]</td><td>30</td></tr><tr><td>15</td><td>left cheek</td><td>moderate to severe dysplasia SCC micro-foci</td><td>59</td><td>male</td><td>[EMPTY_CELL]</td><td>26</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Histopathological</b>\", \"bbox\": [132, 4, 195, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Tobacco</b>\", \"bbox\": [366, 4, 397, 13]}, {\"cell\": \"<b>Duration of</b>\", \"bbox\": [434, 4, 475, 13]}, {\"cell\": \"<b>Patients</b>\", \"bbox\": [1, 17, 30, 26]}, {\"cell\": \"<b>Lesion site</b>\", \"bbox\": [47, 17, 86, 26]}, {\"cell\": \"<b>Diagnosis</b>\", \"bbox\": [132, 17, 167, 26]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [293, 17, 309, 26]}, {\"cell\": \"<b>Sex</b>\", \"bbox\": [326, 17, 340, 26]}, {\"cell\": \"<b>Exposure</b>\", \"bbox\": [366, 17, 400, 26]}, {\"cell\": \"<b>follow-up(mo)</b>\", \"bbox\": [434, 17, 484, 26]}, {\"cell\": \"1\", \"bbox\": [1, 30, 6, 40]}, {\"cell\": \"Left lateral tongue\", \"bbox\": [47, 30, 108, 40]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 30, 221, 40]}, {\"cell\": \"45\", \"bbox\": [293, 30, 303, 40]}, {\"cell\": \"female\", \"bbox\": [326, 30, 350, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 30, 415, 40]}, {\"cell\": \"40\", \"bbox\": [434, 30, 443, 40]}, {\"cell\": \"2\", \"bbox\": [1, 44, 6, 54]}, {\"cell\": \"Right lateral palatine\", \"bbox\": [47, 44, 115, 54]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 44, 221, 54]}, {\"cell\": \"67\", \"bbox\": [293, 44, 303, 54]}, {\"cell\": \"male\", \"bbox\": [326, 44, 344, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 44, 417, 54]}, {\"cell\": \"36\", \"bbox\": [434, 44, 443, 54]}, {\"cell\": \"3\", \"bbox\": [1, 58, 6, 68]}, {\"cell\": \"Right lateral palatine\", \"bbox\": [47, 58, 115, 68]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 58, 221, 68]}, {\"cell\": \"55\", \"bbox\": [293, 58, 303, 68]}, {\"cell\": \"female\", \"bbox\": [326, 58, 350, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 58, 414, 68]}, {\"cell\": \"39\", \"bbox\": [434, 58, 443, 68]}, {\"cell\": \"4\", \"bbox\": [1, 72, 6, 82]}, {\"cell\": \"right lateral tongue\", \"bbox\": [47, 72, 111, 82]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 72, 221, 82]}, {\"cell\": \"54\", \"bbox\": [293, 72, 303, 82]}, {\"cell\": \"female\", \"bbox\": [326, 72, 350, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 72, 414, 82]}, {\"cell\": \"36\", \"bbox\": [434, 72, 443, 82]}, {\"cell\": \"5\", \"bbox\": [1, 86, 6, 96]}, {\"cell\": \"right cheek mucosa\", \"bbox\": [47, 86, 112, 96]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 86, 221, 96]}, {\"cell\": \"64\", \"bbox\": [293, 86, 303, 96]}, {\"cell\": \"male\", \"bbox\": [326, 86, 344, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 86, 417, 96]}, {\"cell\": \"43\", \"bbox\": [434, 86, 443, 96]}, {\"cell\": \"6\", \"bbox\": [1, 100, 6, 110]}, {\"cell\": \"right cheek mocusa\", \"bbox\": [47, 100, 112, 110]}, {\"cell\": \"Mild to moderate dysplasia\", \"bbox\": [132, 100, 221, 110]}, {\"cell\": \"57\", \"bbox\": [293, 100, 303, 110]}, {\"cell\": \"male\", \"bbox\": [326, 100, 344, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 100, 417, 110]}, {\"cell\": \"46\", \"bbox\": [434, 100, 443, 110]}, {\"cell\": \"7\", \"bbox\": [1, 114, 6, 124]}, {\"cell\": \"left cheek mucosa\", \"bbox\": [47, 114, 107, 124]}, {\"cell\": \"Mild dysplasia\", \"bbox\": [132, 114, 178, 124]}, {\"cell\": \"61\", \"bbox\": [293, 114, 303, 124]}, {\"cell\": \"male\", \"bbox\": [326, 114, 344, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 114, 417, 124]}, {\"cell\": \"39\", \"bbox\": [434, 114, 443, 124]}, {\"cell\": \"8\", \"bbox\": [1, 128, 6, 138]}, {\"cell\": \"left lateral tongue\", \"bbox\": [47, 128, 106, 138]}, {\"cell\": \"Severe dysplasia SCC micro-foci\", \"bbox\": [132, 128, 235, 138]}, {\"cell\": \"71\", \"bbox\": [293, 128, 303, 138]}, {\"cell\": \"male\", \"bbox\": [326, 128, 344, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 128, 417, 138]}, {\"cell\": \"29\", \"bbox\": [434, 128, 443, 138]}, {\"cell\": \"9\", \"bbox\": [1, 142, 6, 152]}, {\"cell\": \"lower lip\", \"bbox\": [47, 142, 77, 152]}, {\"cell\": \"Severe dysplasia, SCC micro-foci\", \"bbox\": [132, 142, 236, 152]}, {\"cell\": \"60\", \"bbox\": [293, 142, 303, 152]}, {\"cell\": \"female\", \"bbox\": [326, 142, 350, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 142, 414, 152]}, {\"cell\": \"28\", \"bbox\": [434, 142, 443, 152]}, {\"cell\": \"10\", \"bbox\": [1, 156, 10, 166]}, {\"cell\": \"left cheek\", \"bbox\": [47, 156, 80, 166]}, {\"cell\": \"Severe dysplasia SCC micro-foci\", \"bbox\": [132, 156, 235, 166]}, {\"cell\": \"52\", \"bbox\": [293, 156, 303, 166]}, {\"cell\": \"female\", \"bbox\": [326, 156, 350, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 156, 415, 166]}, {\"cell\": \"34\", \"bbox\": [434, 156, 443, 166]}, {\"cell\": \"11\", \"bbox\": [1, 170, 10, 180]}, {\"cell\": \"palate\", \"bbox\": [47, 170, 68, 180]}, {\"cell\": \"Severe dysplasia\", \"bbox\": [132, 170, 186, 180]}, {\"cell\": \"55\", \"bbox\": [293, 170, 303, 180]}, {\"cell\": \"female\", \"bbox\": [326, 170, 350, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 170, 414, 180]}, {\"cell\": \"35\", \"bbox\": [434, 170, 443, 180]}, {\"cell\": \"12\", \"bbox\": [1, 184, 10, 194]}, {\"cell\": \"left cheek\", \"bbox\": [47, 184, 80, 194]}, {\"cell\": \"Severe dysplasia\", \"bbox\": [132, 184, 186, 194]}, {\"cell\": \"66\", \"bbox\": [293, 184, 303, 194]}, {\"cell\": \"male\", \"bbox\": [326, 184, 344, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 184, 415, 194]}, {\"cell\": \"30\", \"bbox\": [434, 184, 443, 194]}, {\"cell\": \"13\", \"bbox\": [1, 198, 10, 208]}, {\"cell\": \"right lateral tongue\", \"bbox\": [47, 198, 111, 208]}, {\"cell\": \"carcinoma in situ\", \"bbox\": [132, 198, 189, 208]}, {\"cell\": \"61\", \"bbox\": [293, 198, 303, 208]}, {\"cell\": \"female\", \"bbox\": [326, 198, 350, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 198, 414, 208]}, {\"cell\": \"29\", \"bbox\": [434, 198, 443, 208]}, {\"cell\": \"14\", \"bbox\": [1, 212, 10, 222]}, {\"cell\": \"right lateral tongue\", \"bbox\": [47, 212, 111, 222]}, {\"cell\": \"carcinoma in situ\", \"bbox\": [132, 212, 189, 222]}, {\"cell\": \"71\", \"bbox\": [293, 212, 303, 222]}, {\"cell\": \"male\", \"bbox\": [326, 212, 344, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 212, 414, 222]}, {\"cell\": \"30\", \"bbox\": [434, 212, 443, 222]}, {\"cell\": \"15\", \"bbox\": [1, 226, 10, 236]}, {\"cell\": \"left cheek\", \"bbox\": [47, 226, 80, 236]}, {\"cell\": \"moderate to severe dysplasia SCC micro-foci\", \"bbox\": [132, 226, 277, 236]}, {\"cell\": \"59\", \"bbox\": [293, 226, 303, 236]}, {\"cell\": \"male\", \"bbox\": [326, 226, 344, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 226, 417, 236]}, {\"cell\": \"26\", \"bbox\": [434, 226, 443, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3637283_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}113{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Description</b></td><td rowspan=\\\"2\\\"><b>CPG</b></td><td rowspan=\\\"2\\\"><b>Members</b></td><td rowspan=\\\"2\\\"><b>Duplicate type</b></td><td colspan=\\\"3\\\"><b>LRT statistics</b></td><td rowspan=\\\"2\\\"><b>dN/dS</b></td></tr><tr><td><b>M1 vs. M2</b></td><td><b>M7 vs. M8</b></td><td><b>M8 vs. M8a</b></td></tr></thead><tbody><tr><td>Hypothetical protein</td><td>CPG199</td><td>4</td><td>DD</td><td>17.30***</td><td>17.68***</td><td>17.07***</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG293</td><td>4</td><td>SD,DD</td><td>7.34*</td><td>7.58*</td><td>6.68*</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG446</td><td>3</td><td>TD</td><td>15.34***</td><td>16.15***</td><td>16.52***</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG767</td><td>3</td><td>TD,DD</td><td>13.80**</td><td>13.92***</td><td>13.26**</td><td>[EMPTY_CELL]</td></tr><tr><td>Surface adhesion protein</td><td>CPG844</td><td>3</td><td>SD, DD</td><td>21.04***</td><td>21.03***</td><td>22.81***</td><td>[EMPTY_CELL]</td></tr><tr><td>Serine protease inhibitor 106</td><td>CPG945</td><td>3</td><td>TD,DD</td><td>5.85</td><td>5.92</td><td>5.8</td><td>[EMPTY_CELL]</td></tr><tr><td>Serine protease inhibitor 106</td><td>CPG1974</td><td>2</td><td>DD</td><td>15.81***</td><td>16.31**</td><td>15.81***</td><td>[EMPTY_CELL]</td></tr><tr><td>LPXTG-motif cell wall anchor domain protein+</td><td>CPG1776</td><td>2</td><td>SD</td><td>14.38***</td><td>14.39**</td><td>14.38***</td><td>[EMPTY_CELL]</td></tr><tr><td>DnaJ homolog subfamily C member 9</td><td>CPG1792</td><td>2</td><td>SD</td><td>13.76**</td><td>13.85***</td><td>19.87***</td><td>[EMPTY_CELL]</td></tr><tr><td>NIK and IKK(beta) binding protein</td><td>CPG1878</td><td>2</td><td>SD</td><td>12.22**</td><td>12.59**</td><td>14.57***</td><td>[EMPTY_CELL]</td></tr><tr><td>Replication-associated protein</td><td>CPG2140</td><td>2</td><td>DD</td><td>18.67***</td><td>18.76***</td><td>21.14***</td><td>[EMPTY_CELL]</td></tr><tr><td>Glucan endo-1,6-beta-glucosidase</td><td>CPG1640</td><td>2</td><td>DD</td><td>5.72</td><td>5.72</td><td>9.64**</td><td>[EMPTY_CELL]</td></tr><tr><td>Integrator complex subunit 4</td><td>CPG2120</td><td>2</td><td>SD</td><td>8.46*</td><td>8.59*</td><td>8.22*</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG961</td><td>3</td><td>DD</td><td>21.04***</td><td>22.99***</td><td>19.99***</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG1520</td><td>2</td><td>SD</td><td>15.28***</td><td>15.37***</td><td>15.13***</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG1637</td><td>2</td><td>SD</td><td>18.44***</td><td>18.75***</td><td>20.57***</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG987</td><td>3</td><td>DD</td><td>13.65**</td><td>13.37**</td><td>13.11**</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG1865</td><td>2</td><td>SD</td><td>10.90**</td><td>10.94**</td><td>10.70**</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG1967</td><td>2</td><td>SD</td><td>6.06*</td><td>6.81*</td><td>5.48</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG2026</td><td>2</td><td>DD</td><td>8.28*</td><td>8.41*</td><td>15.98***</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG2083</td><td>2</td><td>DD</td><td>29.01***</td><td>29.00***</td><td>31.16***</td><td>[EMPTY_CELL]</td></tr><tr><td>hypothetical protein</td><td>CPG775</td><td>3</td><td>SD</td><td>14.05***</td><td>14.05***</td><td>12.37**</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG2128</td><td>2</td><td>SD</td><td>17.79***</td><td>17.85***</td><td>19.27***</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypothetical protein</td><td>CPG869</td><td>3</td><td>SD, DD</td><td>17.45***</td><td>17.85***</td><td>17.31***</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Description</b>\", \"bbox\": [1, 4, 42, 13]}, {\"cell\": \"<b>CPG</b>\", \"bbox\": [164, 4, 180, 13]}, {\"cell\": \"<b>Members</b>\", \"bbox\": [206, 4, 241, 13]}, {\"cell\": \"<b>Duplicate type</b>\", \"bbox\": [253, 4, 287, 22]}, {\"cell\": \"<b>LRT statistics</b>\", \"bbox\": [349, 4, 395, 13]}, {\"cell\": \"<b>dN/dS</b>\", \"bbox\": [454, 4, 478, 13]}, {\"cell\": \"<b>M1 vs. M2</b>\", \"bbox\": [302, 17, 339, 27]}, {\"cell\": \"<b>M7 vs. M8</b>\", \"bbox\": [351, 17, 389, 27]}, {\"cell\": \"<b>M8 vs. M8a</b>\", \"bbox\": [401, 17, 442, 27]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 30, 68, 40]}, {\"cell\": \"CPG199\", \"bbox\": [164, 30, 191, 40]}, {\"cell\": \"4\", \"bbox\": [206, 30, 212, 40]}, {\"cell\": \"DD\", \"bbox\": [253, 30, 265, 40]}, {\"cell\": \"17.30***\", \"bbox\": [302, 30, 330, 40]}, {\"cell\": \"17.68***\", \"bbox\": [351, 30, 379, 40]}, {\"cell\": \"17.07***\", \"bbox\": [401, 30, 429, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 30, 481, 40]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 44, 68, 54]}, {\"cell\": \"CPG293\", \"bbox\": [164, 44, 191, 54]}, {\"cell\": \"4\", \"bbox\": [206, 44, 212, 54]}, {\"cell\": \"SD,DD\", \"bbox\": [253, 44, 275, 54]}, {\"cell\": \"7.34*\", \"bbox\": [302, 44, 320, 54]}, {\"cell\": \"7.58*\", \"bbox\": [351, 44, 369, 54]}, {\"cell\": \"6.68*\", \"bbox\": [401, 44, 419, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 44, 484, 54]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 58, 68, 68]}, {\"cell\": \"CPG446\", \"bbox\": [164, 58, 191, 68]}, {\"cell\": \"3\", \"bbox\": [206, 58, 212, 68]}, {\"cell\": \"TD\", \"bbox\": [253, 58, 263, 68]}, {\"cell\": \"15.34***\", \"bbox\": [302, 58, 330, 68]}, {\"cell\": \"16.15***\", \"bbox\": [351, 58, 379, 68]}, {\"cell\": \"16.52***\", \"bbox\": [401, 58, 429, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 58, 484, 68]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 72, 68, 82]}, {\"cell\": \"CPG767\", \"bbox\": [164, 72, 191, 82]}, {\"cell\": \"3\", \"bbox\": [206, 72, 212, 82]}, {\"cell\": \"TD,DD\", \"bbox\": [253, 72, 275, 82]}, {\"cell\": \"13.80**\", \"bbox\": [302, 72, 327, 82]}, {\"cell\": \"13.92***\", \"bbox\": [351, 72, 379, 82]}, {\"cell\": \"13.26**\", \"bbox\": [401, 72, 426, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 72, 484, 82]}, {\"cell\": \"Surface adhesion protein\", \"bbox\": [1, 86, 82, 96]}, {\"cell\": \"CPG844\", \"bbox\": [164, 86, 191, 96]}, {\"cell\": \"3\", \"bbox\": [206, 86, 212, 96]}, {\"cell\": \"SD, DD\", \"bbox\": [253, 86, 277, 96]}, {\"cell\": \"21.04***\", \"bbox\": [302, 86, 330, 96]}, {\"cell\": \"21.03***\", \"bbox\": [351, 86, 379, 96]}, {\"cell\": \"22.81***\", \"bbox\": [401, 86, 429, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 86, 481, 96]}, {\"cell\": \"Serine protease inhibitor 106\", \"bbox\": [1, 100, 95, 110]}, {\"cell\": \"CPG945\", \"bbox\": [164, 100, 191, 110]}, {\"cell\": \"3\", \"bbox\": [206, 100, 212, 110]}, {\"cell\": \"TD,DD\", \"bbox\": [253, 100, 275, 110]}, {\"cell\": \"5.85\", \"bbox\": [302, 100, 317, 110]}, {\"cell\": \"5.92\", \"bbox\": [351, 100, 366, 110]}, {\"cell\": \"5.8\", \"bbox\": [401, 100, 412, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 100, 484, 110]}, {\"cell\": \"Serine protease inhibitor 106\", \"bbox\": [1, 114, 95, 124]}, {\"cell\": \"CPG1974\", \"bbox\": [164, 114, 194, 124]}, {\"cell\": \"2\", \"bbox\": [206, 114, 212, 124]}, {\"cell\": \"DD\", \"bbox\": [253, 114, 265, 124]}, {\"cell\": \"15.81***\", \"bbox\": [302, 114, 330, 124]}, {\"cell\": \"16.31**\", \"bbox\": [351, 114, 376, 124]}, {\"cell\": \"15.81***\", \"bbox\": [401, 114, 429, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 114, 481, 124]}, {\"cell\": \"LPXTG-motif cell wall anchor domain protein+\", \"bbox\": [1, 128, 152, 138]}, {\"cell\": \"CPG1776\", \"bbox\": [164, 128, 194, 138]}, {\"cell\": \"2\", \"bbox\": [206, 128, 212, 138]}, {\"cell\": \"SD\", \"bbox\": [253, 128, 263, 138]}, {\"cell\": \"14.38***\", \"bbox\": [302, 128, 330, 138]}, {\"cell\": \"14.39**\", \"bbox\": [351, 128, 376, 138]}, {\"cell\": \"14.38***\", \"bbox\": [401, 128, 429, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 128, 484, 138]}, {\"cell\": \"DnaJ homolog subfamily C member 9\", \"bbox\": [1, 142, 126, 152]}, {\"cell\": \"CPG1792\", \"bbox\": [164, 142, 194, 152]}, {\"cell\": \"2\", \"bbox\": [206, 142, 212, 152]}, {\"cell\": \"SD\", \"bbox\": [253, 142, 263, 152]}, {\"cell\": \"13.76**\", \"bbox\": [302, 142, 327, 152]}, {\"cell\": \"13.85***\", \"bbox\": [351, 142, 379, 152]}, {\"cell\": \"19.87***\", \"bbox\": [401, 142, 429, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 142, 484, 152]}, {\"cell\": \"NIK and IKK(beta) binding protein\", \"bbox\": [1, 156, 110, 166]}, {\"cell\": \"CPG1878\", \"bbox\": [164, 156, 194, 166]}, {\"cell\": \"2\", \"bbox\": [206, 156, 212, 166]}, {\"cell\": \"SD\", \"bbox\": [253, 156, 263, 166]}, {\"cell\": \"12.22**\", \"bbox\": [302, 156, 327, 166]}, {\"cell\": \"12.59**\", \"bbox\": [351, 156, 376, 166]}, {\"cell\": \"14.57***\", \"bbox\": [401, 156, 429, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 156, 484, 166]}, {\"cell\": \"Replication-associated protein\", \"bbox\": [1, 170, 98, 180]}, {\"cell\": \"CPG2140\", \"bbox\": [164, 170, 194, 180]}, {\"cell\": \"2\", \"bbox\": [206, 170, 212, 180]}, {\"cell\": \"DD\", \"bbox\": [253, 170, 265, 180]}, {\"cell\": \"18.67***\", \"bbox\": [302, 170, 330, 180]}, {\"cell\": \"18.76***\", \"bbox\": [351, 170, 379, 180]}, {\"cell\": \"21.14***\", \"bbox\": [401, 170, 429, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 170, 484, 180]}, {\"cell\": \"Glucan endo-1,6-beta-glucosidase\", \"bbox\": [1, 184, 111, 194]}, {\"cell\": \"CPG1640\", \"bbox\": [164, 184, 194, 194]}, {\"cell\": \"2\", \"bbox\": [206, 184, 212, 194]}, {\"cell\": \"DD\", \"bbox\": [253, 184, 265, 194]}, {\"cell\": \"5.72\", \"bbox\": [302, 184, 317, 194]}, {\"cell\": \"5.72\", \"bbox\": [351, 184, 366, 194]}, {\"cell\": \"9.64**\", \"bbox\": [401, 184, 422, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 184, 484, 194]}, {\"cell\": \"Integrator complex subunit 4\", \"bbox\": [1, 198, 96, 208]}, {\"cell\": \"CPG2120\", \"bbox\": [164, 198, 194, 208]}, {\"cell\": \"2\", \"bbox\": [206, 198, 212, 208]}, {\"cell\": \"SD\", \"bbox\": [253, 198, 263, 208]}, {\"cell\": \"8.46*\", \"bbox\": [302, 198, 320, 208]}, {\"cell\": \"8.59*\", \"bbox\": [351, 198, 369, 208]}, {\"cell\": \"8.22*\", \"bbox\": [401, 198, 419, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 198, 484, 208]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 212, 68, 222]}, {\"cell\": \"CPG961\", \"bbox\": [164, 212, 191, 222]}, {\"cell\": \"3\", \"bbox\": [206, 212, 212, 222]}, {\"cell\": \"DD\", \"bbox\": [253, 212, 265, 222]}, {\"cell\": \"21.04***\", \"bbox\": [302, 212, 330, 222]}, {\"cell\": \"22.99***\", \"bbox\": [351, 212, 379, 222]}, {\"cell\": \"19.99***\", \"bbox\": [401, 212, 429, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 212, 477, 222]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 226, 68, 236]}, {\"cell\": \"CPG1520\", \"bbox\": [164, 226, 194, 236]}, {\"cell\": \"2\", \"bbox\": [206, 226, 212, 236]}, {\"cell\": \"SD\", \"bbox\": [253, 226, 263, 236]}, {\"cell\": \"15.28***\", \"bbox\": [302, 226, 330, 236]}, {\"cell\": \"15.37***\", \"bbox\": [351, 226, 379, 236]}, {\"cell\": \"15.13***\", \"bbox\": [401, 226, 429, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 226, 481, 236]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 240, 68, 250]}, {\"cell\": \"CPG1637\", \"bbox\": [164, 240, 194, 250]}, {\"cell\": \"2\", \"bbox\": [206, 240, 212, 250]}, {\"cell\": \"SD\", \"bbox\": [253, 240, 263, 250]}, {\"cell\": \"18.44***\", \"bbox\": [302, 240, 330, 250]}, {\"cell\": \"18.75***\", \"bbox\": [351, 240, 379, 250]}, {\"cell\": \"20.57***\", \"bbox\": [401, 240, 429, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 240, 484, 250]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 254, 68, 264]}, {\"cell\": \"CPG987\", \"bbox\": [164, 254, 191, 264]}, {\"cell\": \"3\", \"bbox\": [206, 254, 212, 264]}, {\"cell\": \"DD\", \"bbox\": [253, 254, 265, 264]}, {\"cell\": \"13.65**\", \"bbox\": [302, 254, 327, 264]}, {\"cell\": \"13.37**\", \"bbox\": [351, 254, 376, 264]}, {\"cell\": \"13.11**\", \"bbox\": [401, 254, 426, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 254, 484, 264]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 268, 68, 278]}, {\"cell\": \"CPG1865\", \"bbox\": [164, 268, 194, 278]}, {\"cell\": \"2\", \"bbox\": [206, 268, 212, 278]}, {\"cell\": \"SD\", \"bbox\": [253, 268, 263, 278]}, {\"cell\": \"10.90**\", \"bbox\": [302, 268, 327, 278]}, {\"cell\": \"10.94**\", \"bbox\": [351, 268, 376, 278]}, {\"cell\": \"10.70**\", \"bbox\": [401, 268, 426, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 268, 484, 278]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 282, 68, 292]}, {\"cell\": \"CPG1967\", \"bbox\": [164, 282, 194, 292]}, {\"cell\": \"2\", \"bbox\": [206, 282, 212, 292]}, {\"cell\": \"SD\", \"bbox\": [253, 282, 263, 292]}, {\"cell\": \"6.06*\", \"bbox\": [302, 282, 320, 292]}, {\"cell\": \"6.81*\", \"bbox\": [351, 282, 369, 292]}, {\"cell\": \"5.48\", \"bbox\": [401, 282, 416, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 282, 484, 292]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 296, 68, 306]}, {\"cell\": \"CPG2026\", \"bbox\": [164, 296, 194, 306]}, {\"cell\": \"2\", \"bbox\": [206, 296, 212, 306]}, {\"cell\": \"DD\", \"bbox\": [253, 296, 265, 306]}, {\"cell\": \"8.28*\", \"bbox\": [302, 296, 320, 306]}, {\"cell\": \"8.41*\", \"bbox\": [351, 296, 369, 306]}, {\"cell\": \"15.98***\", \"bbox\": [401, 296, 429, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 296, 481, 306]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 310, 68, 320]}, {\"cell\": \"CPG2083\", \"bbox\": [164, 310, 194, 320]}, {\"cell\": \"2\", \"bbox\": [206, 310, 212, 320]}, {\"cell\": \"DD\", \"bbox\": [253, 310, 265, 320]}, {\"cell\": \"29.01***\", \"bbox\": [302, 310, 330, 320]}, {\"cell\": \"29.00***\", \"bbox\": [351, 310, 379, 320]}, {\"cell\": \"31.16***\", \"bbox\": [401, 310, 429, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 310, 484, 320]}, {\"cell\": \"hypothetical protein\", \"bbox\": [1, 324, 68, 334]}, {\"cell\": \"CPG775\", \"bbox\": [164, 324, 191, 334]}, {\"cell\": \"3\", \"bbox\": [206, 324, 212, 334]}, {\"cell\": \"SD\", \"bbox\": [253, 324, 263, 334]}, {\"cell\": \"14.05***\", \"bbox\": [302, 324, 330, 334]}, {\"cell\": \"14.05***\", \"bbox\": [351, 324, 379, 334]}, {\"cell\": \"12.37**\", \"bbox\": [401, 324, 426, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 324, 477, 334]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 338, 68, 348]}, {\"cell\": \"CPG2128\", \"bbox\": [164, 338, 194, 348]}, {\"cell\": \"2\", \"bbox\": [206, 338, 212, 348]}, {\"cell\": \"SD\", \"bbox\": [253, 338, 263, 348]}, {\"cell\": \"17.79***\", \"bbox\": [302, 338, 330, 348]}, {\"cell\": \"17.85***\", \"bbox\": [351, 338, 379, 348]}, {\"cell\": \"19.27***\", \"bbox\": [401, 338, 429, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 338, 484, 348]}, {\"cell\": \"Hypothetical protein\", \"bbox\": [1, 352, 68, 362]}, {\"cell\": \"CPG869\", \"bbox\": [164, 352, 191, 362]}, {\"cell\": \"3\", \"bbox\": [206, 352, 212, 362]}, {\"cell\": \"SD, DD\", \"bbox\": [253, 352, 277, 362]}, {\"cell\": \"17.45***\", \"bbox\": [302, 352, 330, 362]}, {\"cell\": \"17.85***\", \"bbox\": [351, 352, 379, 362]}, {\"cell\": \"17.31***\", \"bbox\": [401, 352, 429, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 352, 481, 362]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3614468_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}114{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>First assessment</b></td><td><b>Second assessment</b></td><td><b>ICC</b></td><td><b>95% confidence interval</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3,849 (1,470 to 8,132)</td><td>4,349 (2,120 to 7,508)</td><td>0.83*</td><td>0.68 to 0.91</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0 to 3,710)</td><td>50 (0 to 3,197)</td><td>0.80*</td><td>0.63 to 0.90</td></tr><tr><td>[EMPTY_CELL]</td><td>653 (284 to 1,607)</td><td>737 (209 to 1,589)</td><td>0.88*</td><td>0.77 to 0.94</td></tr><tr><td>[EMPTY_CELL]</td><td>580 (53 to 1,481)</td><td>245 (90 to 1,406)</td><td>0.60*</td><td>0.33 to 0.79</td></tr><tr><td>[EMPTY_CELL]</td><td>657 (195 to 1,718)</td><td>678 (111 to 1,832)</td><td>0.73*</td><td>0.52 to 0.86</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5,760 (3,360 to 6,890)</td><td>5,600 (3,715 to 7,540)</td><td>0.89*</td><td>0.79 to 0.95</td></tr><tr><td>[EMPTY_CELL]</td><td>1,080 (0 to 4,440)</td><td>600 (0 to 4,680)</td><td>0.88*</td><td>0.77 to 0.94</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0 to 341)</td><td>0 (0 to 438)</td><td>0.48*</td><td>0.17 to 0.70</td></tr><tr><td>[EMPTY_CELL]</td><td>900 (420 to 1,815)</td><td>840 (240 to 1,635)</td><td>0.77*</td><td>0.59 to 0.88</td></tr><tr><td>[EMPTY_CELL]</td><td>1,350 (775 to 1,795)</td><td>1,410 (480 to 2,635)</td><td>0.87*</td><td>0.76 to 0.93</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>First assessment</b>\", \"bbox\": [158, 4, 217, 12]}, {\"cell\": \"<b>Second assessment</b>\", \"bbox\": [250, 4, 319, 12]}, {\"cell\": \"<b>ICC</b>\", \"bbox\": [342, 4, 355, 12]}, {\"cell\": \"<b>95% confidence interval</b>\", \"bbox\": [381, 4, 467, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 114, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 29, 77, 39]}, {\"cell\": \"3,849 (1,470 to 8,132)\", \"bbox\": [158, 29, 229, 39]}, {\"cell\": \"4,349 (2,120 to 7,508)\", \"bbox\": [250, 29, 321, 39]}, {\"cell\": \"0.83*\", \"bbox\": [342, 29, 360, 39]}, {\"cell\": \"0.68 to 0.91\", \"bbox\": [381, 29, 420, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 41, 78, 51]}, {\"cell\": \"0 (0 to 3,710)\", \"bbox\": [158, 41, 203, 51]}, {\"cell\": \"50 (0 to 3,197)\", \"bbox\": [250, 41, 299, 51]}, {\"cell\": \"0.80*\", \"bbox\": [342, 41, 360, 51]}, {\"cell\": \"0.63 to 0.90\", \"bbox\": [381, 41, 420, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 53, 92, 63]}, {\"cell\": \"653 (284 to 1,607)\", \"bbox\": [158, 53, 218, 63]}, {\"cell\": \"737 (209 to 1,589)\", \"bbox\": [250, 53, 310, 63]}, {\"cell\": \"0.88*\", \"bbox\": [342, 53, 360, 63]}, {\"cell\": \"0.77 to 0.94\", \"bbox\": [381, 53, 420, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 65, 136, 75]}, {\"cell\": \"580 (53 to 1,481)\", \"bbox\": [158, 65, 215, 75]}, {\"cell\": \"245 (90 to 1,406)\", \"bbox\": [250, 65, 306, 75]}, {\"cell\": \"0.60*\", \"bbox\": [342, 65, 360, 75]}, {\"cell\": \"0.33 to 0.79\", \"bbox\": [381, 65, 420, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 77, 101, 86]}, {\"cell\": \"657 (195 to 1,718)\", \"bbox\": [158, 77, 218, 86]}, {\"cell\": \"678 (111 to 1,832)\", \"bbox\": [250, 77, 310, 86]}, {\"cell\": \"0.73*\", \"bbox\": [342, 77, 360, 86]}, {\"cell\": \"0.52 to 0.86\", \"bbox\": [381, 77, 420, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 89, 58, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 99, 80, 110]}, {\"cell\": \"5,760 (3,360 to 6,890)\", \"bbox\": [158, 101, 229, 110]}, {\"cell\": \"5,600 (3,715 to 7,540)\", \"bbox\": [250, 101, 321, 110]}, {\"cell\": \"0.89*\", \"bbox\": [342, 101, 360, 110]}, {\"cell\": \"0.79 to 0.95\", \"bbox\": [381, 101, 420, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 113, 116, 122]}, {\"cell\": \"1,080 (0 to 4,440)\", \"bbox\": [158, 113, 216, 122]}, {\"cell\": \"600 (0 to 4,680)\", \"bbox\": [250, 113, 303, 122]}, {\"cell\": \"0.88*\", \"bbox\": [342, 113, 360, 122]}, {\"cell\": \"0.77 to 0.94\", \"bbox\": [381, 113, 420, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 125, 100, 134]}, {\"cell\": \"0 (0 to 341)\", \"bbox\": [158, 125, 198, 134]}, {\"cell\": \"0 (0 to 438)\", \"bbox\": [250, 125, 290, 134]}, {\"cell\": \"0.48*\", \"bbox\": [342, 125, 360, 134]}, {\"cell\": \"0.17 to 0.70\", \"bbox\": [381, 125, 420, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 137, 96, 146]}, {\"cell\": \"900 (420 to 1,815)\", \"bbox\": [158, 137, 218, 146]}, {\"cell\": \"840 (240 to 1,635)\", \"bbox\": [250, 137, 310, 146]}, {\"cell\": \"0.77*\", \"bbox\": [342, 137, 360, 146]}, {\"cell\": \"0.59 to 0.88\", \"bbox\": [381, 137, 420, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 149, 137, 158]}, {\"cell\": \"1,350 (775 to 1,795)\", \"bbox\": [158, 149, 224, 158]}, {\"cell\": \"1,410 (480 to 2,635)\", \"bbox\": [250, 149, 315, 158]}, {\"cell\": \"0.87*\", \"bbox\": [342, 149, 360, 158]}, {\"cell\": \"0.76 to 0.93\", \"bbox\": [381, 149, 420, 158]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3978664_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}115{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Parameter</b></td><td rowspan=\\\"2\\\"><b>Group</b></td><td colspan=\\\"3\\\"><b>Brain region</b></td></tr><tr><td><b>Cortex</b></td><td><b>Cerebellum</b></td><td><b>Subcortical structures</b></td></tr></thead><tbody><tr><td rowspan=\\\"4\\\">Total lipids (TL, mg/g wet weight)</td><td>[EMPTY_CELL]</td><td>60.5 ± 9.6</td><td>59.6 ± 3.7</td><td>70.5 ± 10.0</td></tr><tr><td>RS</td><td>[EMPTY_CELL]</td><td>47.6 ± 5.7</td><td>47.4 ± 5.9*</td></tr><tr><td>ELF-EMF</td><td>[EMPTY_CELL]</td><td>71.4 ± 10.3<sup>&</sup></td><td>59.3 ± 4.7*</td></tr><tr><td>RS + ELF-EMF</td><td>[EMPTY_CELL]</td><td>55.6 ± 10.2</td><td>33.6 ± 5.6<sup>$,#</sup></td></tr><tr><td rowspan=\\\"4\\\">Total cholesterol (TC, μg/mg TL)</td><td>[EMPTY_CELL]</td><td>159.7 ± 1.0</td><td>188.3 ± 27.5</td><td>99.0 ± 18.6</td></tr><tr><td>RS</td><td>[EMPTY_CELL]</td><td>182.0 ± 25.4</td><td>101.8 ± 13.3</td></tr><tr><td>ELF-EMF</td><td>[EMPTY_CELL]</td><td>148.5 ± 42.7</td><td>144.3 ± 35.0</td></tr><tr><td>RS + ELF-EMF</td><td>[EMPTY_CELL]</td><td>173.0 ± 34.4</td><td>194.3 ± 67.6*<sup>,&</sup></td></tr><tr><td rowspan=\\\"4\\\">Polar lipids (POL, μg/mg TL)</td><td>[EMPTY_CELL]</td><td>753.5 ± 10.4</td><td>763.6 ± 73.6</td><td>831.2 ± 23.7</td></tr><tr><td>RS</td><td>[EMPTY_CELL]</td><td>714.0 ± 39.4</td><td>839.5 ± 14.2</td></tr><tr><td>ELF-EMF</td><td>[EMPTY_CELL]</td><td>771.7 ± 56.6</td><td>786.9 ± 50.8</td></tr><tr><td>RS + ELF-EMF</td><td>[EMPTY_CELL]</td><td>731.7 ± 48.2</td><td>729.4 ± 74.5*,<sup>&</sup></td></tr><tr><td rowspan=\\\"4\\\">NEFAs (μg/mg TL)</td><td>[EMPTY_CELL]</td><td>10.6 ± 1.9</td><td>16.5 ± 7.6</td><td>7.6 ± 2.2</td></tr><tr><td>RS</td><td>[EMPTY_CELL]</td><td>25.8 ± 9.4</td><td>9.5 ± 3.2</td></tr><tr><td>ELF-EMF</td><td>[EMPTY_CELL]</td><td>15.1 ± 3.8</td><td>10.4 ± 2.5</td></tr><tr><td>RS + ELF-EMF</td><td>[EMPTY_CELL]</td><td>15.0 ± 6.3</td><td>15.7 ± 4.3*<sup>,#</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [1, 4, 38, 14]}, {\"cell\": \"<b>Group</b>\", \"bbox\": [149, 4, 173, 14]}, {\"cell\": \"<b>Brain region</b>\", \"bbox\": [234, 4, 278, 14]}, {\"cell\": \"<b>Cortex</b>\", \"bbox\": [234, 20, 259, 30]}, {\"cell\": \"<b>Cerebellum</b>\", \"bbox\": [321, 20, 363, 30]}, {\"cell\": \"<b>Subcortical structures</b>\", \"bbox\": [403, 20, 480, 30]}, {\"cell\": \"Total lipids (TL, mg/g wet weight)\", \"bbox\": [1, 38, 109, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 38, 156, 48]}, {\"cell\": \"60.5 ± 9.6\", \"bbox\": [239, 38, 272, 48]}, {\"cell\": \"59.6 ± 3.7\", \"bbox\": [326, 38, 359, 48]}, {\"cell\": \"70.5 ± 10.0\", \"bbox\": [408, 38, 444, 48]}, {\"cell\": \"RS\", \"bbox\": [149, 50, 159, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [239, 50, 278, 60]}, {\"cell\": \"47.6 ± 5.7\", \"bbox\": [326, 50, 359, 60]}, {\"cell\": \"47.4 ± 5.9*\", \"bbox\": [408, 50, 444, 60]}, {\"cell\": \"ELF-EMF\", \"bbox\": [149, 62, 178, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [239, 62, 272, 72]}, {\"cell\": \"71.4 ± 10.3<sup>&</sup>\", \"bbox\": [326, 61, 366, 72]}, {\"cell\": \"59.3 ± 4.7*\", \"bbox\": [408, 62, 444, 72]}, {\"cell\": \"RS + ELF-EMF\", \"bbox\": [149, 74, 194, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [239, 74, 278, 84]}, {\"cell\": \"55.6 ± 10.2\", \"bbox\": [326, 74, 363, 84]}, {\"cell\": \"33.6 ± 5.6<sup>$,#</sup>\", \"bbox\": [408, 73, 447, 84]}, {\"cell\": \"Total cholesterol (TC, μg/mg TL)\", \"bbox\": [1, 86, 103, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 86, 156, 96]}, {\"cell\": \"159.7 ± 1.0\", \"bbox\": [235, 86, 272, 96]}, {\"cell\": \"188.3 ± 27.5\", \"bbox\": [322, 86, 363, 96]}, {\"cell\": \"99.0 ± 18.6\", \"bbox\": [408, 86, 444, 96]}, {\"cell\": \"RS\", \"bbox\": [149, 99, 159, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 99, 272, 108]}, {\"cell\": \"182.0 ± 25.4\", \"bbox\": [322, 99, 363, 108]}, {\"cell\": \"101.8 ± 13.3\", \"bbox\": [404, 99, 444, 108]}, {\"cell\": \"ELF-EMF\", \"bbox\": [149, 111, 178, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 109, 283, 120]}, {\"cell\": \"148.5 ± 42.7\", \"bbox\": [322, 111, 363, 120]}, {\"cell\": \"144.3 ± 35.0\", \"bbox\": [404, 111, 444, 120]}, {\"cell\": \"RS + ELF-EMF\", \"bbox\": [149, 123, 194, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 121, 283, 132]}, {\"cell\": \"173.0 ± 34.4\", \"bbox\": [322, 123, 363, 132]}, {\"cell\": \"194.3 ± 67.6*<sup>,&</sup>\", \"bbox\": [404, 121, 452, 132]}, {\"cell\": \"Polar lipids (POL, μg/mg TL)\", \"bbox\": [1, 135, 90, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 135, 156, 144]}, {\"cell\": \"753.5 ± 10.4\", \"bbox\": [235, 135, 275, 144]}, {\"cell\": \"763.6 ± 73.6\", \"bbox\": [322, 135, 363, 144]}, {\"cell\": \"831.2 ± 23.7\", \"bbox\": [404, 135, 444, 144]}, {\"cell\": \"RS\", \"bbox\": [149, 147, 159, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 147, 275, 156]}, {\"cell\": \"714.0 ± 39.4\", \"bbox\": [322, 147, 363, 156]}, {\"cell\": \"839.5 ± 14.2\", \"bbox\": [404, 147, 444, 156]}, {\"cell\": \"ELF-EMF\", \"bbox\": [149, 159, 178, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 159, 279, 169]}, {\"cell\": \"771.7 ± 56.6\", \"bbox\": [322, 159, 363, 169]}, {\"cell\": \"786.9 ± 50.8\", \"bbox\": [404, 159, 444, 169]}, {\"cell\": \"RS + ELF-EMF\", \"bbox\": [149, 171, 194, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 171, 279, 181]}, {\"cell\": \"731.7 ± 48.2\", \"bbox\": [322, 171, 363, 181]}, {\"cell\": \"729.4 ± 74.5*,<sup>&</sup>\", \"bbox\": [404, 170, 452, 181]}, {\"cell\": \"NEFAs (μg/mg TL)\", \"bbox\": [1, 183, 59, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 183, 156, 193]}, {\"cell\": \"10.6 ± 1.9\", \"bbox\": [239, 183, 272, 193]}, {\"cell\": \"16.5 ± 7.6\", \"bbox\": [326, 183, 359, 193]}, {\"cell\": \"7.6 ± 2.2\", \"bbox\": [412, 183, 440, 193]}, {\"cell\": \"RS\", \"bbox\": [149, 195, 159, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 195, 272, 205]}, {\"cell\": \"25.8 ± 9.4\", \"bbox\": [326, 195, 359, 205]}, {\"cell\": \"9.5 ± 3.2\", \"bbox\": [412, 195, 440, 205]}, {\"cell\": \"ELF-EMF\", \"bbox\": [149, 207, 178, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 207, 272, 217]}, {\"cell\": \"15.1 ± 3.8\", \"bbox\": [326, 207, 359, 217]}, {\"cell\": \"10.4 ± 2.5\", \"bbox\": [408, 207, 440, 217]}, {\"cell\": \"RS + ELF-EMF\", \"bbox\": [149, 220, 194, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 220, 272, 229]}, {\"cell\": \"15.0 ± 6.3\", \"bbox\": [326, 220, 359, 229]}, {\"cell\": \"15.7 ± 4.3*<sup>,#</sup>\", \"bbox\": [408, 218, 447, 229]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5963128_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}116{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Experimental methods</b></td><td colspan=\\\"3\\\"><b>Application procedure</b></td><td><b>Authors</b></td></tr><tr><td><b>Inoculum</b></td><td><b>Bacteria</b></td><td><b>Nutrients</b></td><td><b>Evaluation procedures</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Culture in exponential phase: 10<sup>7</sup>–10<sup>9</sup> cells/ml</td><td>[EMPTY_CELL]</td><td>Spraying (5 times)</td><td>Water absorption, SEM analysis, surface roughness, colorimetery and plate count</td><td>Calcite bioconcept Le Metayer-Levrel et al., 1999</td></tr><tr><td>Overnight culture 10<sup>6</sup> cells cm<sup>−2</sup></td><td>[EMPTY_CELL]</td><td>Wetting every day for 15 days</td><td>Water absorption, colorimeteric measurements, stone cohesion</td><td>Tiano et al., 1999</td></tr><tr><td>2% inoculums</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Stone cohesion, weight increase, XRD and SEM analysis, porosimetery analysis</td><td>Rodriguez-Navarro et al., 2003</td></tr><tr><td>1% inoculums</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Water absorption, SEM analysis</td><td>Dick et al., 2006</td></tr><tr><td>10<sup>8</sup> cells ml<sup>−1</sup></td><td>[EMPTY_CELL]</td><td>In Carbogel</td><td>Water absorption and drying due to evaporation</td><td>May, 2005</td></tr><tr><td>n.d.<sup>*</sup></td><td>[EMPTY_CELL]</td><td>Immersion in test solution or spraying (<i>in situ</i>) tests</td><td>Water absorption, colorimeteric measurements, stone cohesion, staining of newly formed calcite with Alizarin Red S and Calcein</td><td>Tiano et al., 2006</td></tr><tr><td>Overnight culture 10<sup>7</sup> – 10<sup>9</sup> cells ml<sup>−1</sup></td><td>[EMPTY_CELL]</td><td>Immersion for 4 days</td><td>Weight increase, water absorption, gas permeability, chloride migration, carbonation, freezing and thawing, SEM and XRD analysis</td><td>De Muynck et al., 2008a</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Experimental methods</b>\", \"bbox\": [1, 6, 83, 15]}, {\"cell\": \"<b>Application procedure</b>\", \"bbox\": [226, 6, 307, 15]}, {\"cell\": \"<b>Authors</b>\", \"bbox\": [445, 6, 476, 15]}, {\"cell\": \"<b>Inoculum</b>\", \"bbox\": [1, 23, 36, 32]}, {\"cell\": \"<b>Bacteria</b>\", \"bbox\": [97, 23, 128, 32]}, {\"cell\": \"<b>Nutrients</b>\", \"bbox\": [223, 23, 258, 32]}, {\"cell\": \"<b>Evaluation procedures</b>\", \"bbox\": [320, 23, 401, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Culture in exponential phase: 10<sup>7</sup>–10<sup>9</sup> cells/ml\", \"bbox\": [1, 43, 81, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 43, 128, 51]}, {\"cell\": \"Spraying (5 times)\", \"bbox\": [223, 43, 285, 51]}, {\"cell\": \"Water absorption, SEM analysis, surface roughness, colorimetery and plate count\", \"bbox\": [320, 43, 430, 72]}, {\"cell\": \"Calcite bioconcept Le Metayer-Levrel et al., 1999\", \"bbox\": [445, 43, 508, 72]}, {\"cell\": \"Overnight culture 10<sup>6</sup> cells cm<sup>−2</sup>\", \"bbox\": [1, 79, 73, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 81, 194, 100]}, {\"cell\": \"Wetting every day for 15 days\", \"bbox\": [223, 81, 306, 100]}, {\"cell\": \"Water absorption, colorimeteric measurements, stone cohesion\", \"bbox\": [320, 81, 427, 100]}, {\"cell\": \"Tiano et al., 1999\", \"bbox\": [445, 81, 504, 90]}, {\"cell\": \"2% inoculums\", \"bbox\": [1, 109, 50, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 109, 202, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stone cohesion, weight increase, XRD and SEM analysis, porosimetery analysis\", \"bbox\": [320, 109, 433, 138]}, {\"cell\": \"Rodriguez-Navarro et al., 2003\", \"bbox\": [445, 109, 508, 128]}, {\"cell\": \"1% inoculums\", \"bbox\": [1, 147, 50, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 147, 209, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Water absorption, SEM analysis\", \"bbox\": [320, 147, 428, 156]}, {\"cell\": \"Dick et al., 2006\", \"bbox\": [445, 147, 501, 156]}, {\"cell\": \"10<sup>8</sup> cells ml<sup>−1</sup>\", \"bbox\": [1, 184, 49, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 185, 128, 194]}, {\"cell\": \"In Carbogel\", \"bbox\": [223, 185, 263, 194]}, {\"cell\": \"Water absorption and drying due to evaporation\", \"bbox\": [320, 185, 431, 204]}, {\"cell\": \"May, 2005\", \"bbox\": [445, 185, 483, 194]}, {\"cell\": \"n.d.<sup>*</sup>\", \"bbox\": [1, 211, 19, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 211, 116, 222]}, {\"cell\": \"Immersion in test solution or spraying (<i>in situ</i>) tests\", \"bbox\": [223, 213, 300, 243]}, {\"cell\": \"Water absorption, colorimeteric measurements, stone cohesion, staining of newly formed calcite with Alizarin Red S and Calcein\", \"bbox\": [320, 213, 429, 253]}, {\"cell\": \"Tiano et al., 2006\", \"bbox\": [445, 213, 504, 222]}, {\"cell\": \"Overnight culture 10<sup>7</sup> – 10<sup>9</sup> cells ml<sup>−1</sup>\", \"bbox\": [1, 260, 79, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 262, 166, 271]}, {\"cell\": \"Immersion for 4 days\", \"bbox\": [223, 262, 295, 271]}, {\"cell\": \"Weight increase, water absorption, gas permeability, chloride migration, carbonation, freezing and thawing, SEM and XRD analysis\", \"bbox\": [320, 262, 426, 312]}, {\"cell\": \"De Muynck et al., 2008a\", \"bbox\": [445, 262, 505, 281]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4071612_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}117{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Ang-2</b></td><td><b>VEGF</b></td><td><b>HGF</b></td><td><b>bFGF</b></td><td><b>G-CSF</b></td><td><b>GM-CSF</b></td></tr></thead><tbody><tr><td><b>SVF-derived MSCs</b></td><td>1,642 ± 1,157</td><td>329 ± 69</td><td>12,602 ± 1,492</td><td>21 ± 3</td><td>[EMPTY_CELL]</td><td>3.2 ± 1.2</td></tr><tr><td><b>PB-positive selected monocytes</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Condition 1</td><td>200 ± 35</td><td>40 ± 5</td><td>7 ± 1</td><td>12 ± 5</td><td>[EMPTY_CELL]</td><td>1.9 ± 0.2</td></tr><tr><td>Condition 2</td><td>186 ± 78</td><td>52 ± 25</td><td>20 ± 19</td><td>12 ± 2</td><td>[EMPTY_CELL]</td><td>15 ± 4</td></tr><tr><td>Condition 3</td><td>278 ± 18</td><td>48 ± 15</td><td>137 ± 35</td><td>25 ± 2</td><td>[EMPTY_CELL]</td><td>5 ± 2</td></tr><tr><td>Co-cultured with MSCs</td><td>26 ± 9*</td><td>210 ± 49</td><td>155 ± 71*</td><td>34 ± 4</td><td>[EMPTY_CELL]</td><td>957 ± 552*</td></tr><tr><td><b>PB-untouched monocytes</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Condition 1</td><td>229 ± 36</td><td>46 ± 36</td><td>9 ± 1</td><td>11 ± 2</td><td>[EMPTY_CELL]</td><td>1.5 ± 0.7</td></tr><tr><td>Condition 2</td><td>215 ± 142</td><td>54 ± 43</td><td>28 ± 23</td><td>16 ± 6</td><td>[EMPTY_CELL]</td><td>18 ± 8</td></tr><tr><td>Condition 3</td><td>216 ± 25<sup>†</sup></td><td>61 ± 16</td><td>163 ± 75</td><td>18 ± 3</td><td>[EMPTY_CELL]</td><td>4.3 ± 1.7</td></tr><tr><td>Co-cultured with MSCs</td><td>25 ± 9*</td><td>197 ± 96</td><td>134 ± 47*</td><td>27 ± 5<sup>†</sup></td><td>[EMPTY_CELL]</td><td>878 ± 514*</td></tr><tr><td><b>SVF CD14</b><sup><b>+ </b></sup><b>cells</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Condition 2</td><td>220 ± 123*</td><td>1,733 ± 193*</td><td>18 ± 8*</td><td>580 ± 199*</td><td>[EMPTY_CELL]</td><td>4,017 ± 791*</td></tr><tr><td>Condition 3</td><td>176 ± 96*<sup>‡</sup></td><td>916 ± 164*<sup>†</sup></td><td>13 ± 4*<sup>‡</sup></td><td>341 ± 121*<sup>†‡</sup></td><td>[EMPTY_CELL]</td><td>1,782 ± 1,001*<sup>†</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Ang-2</b>\", \"bbox\": [139, 4, 162, 13]}, {\"cell\": \"<b>VEGF</b>\", \"bbox\": [199, 4, 219, 13]}, {\"cell\": \"<b>HGF</b>\", \"bbox\": [262, 4, 278, 13]}, {\"cell\": \"<b>bFGF</b>\", \"bbox\": [321, 4, 341, 13]}, {\"cell\": \"<b>G-CSF</b>\", \"bbox\": [382, 4, 405, 13]}, {\"cell\": \"<b>GM-CSF</b>\", \"bbox\": [445, 4, 474, 13]}, {\"cell\": \"<b>SVF-derived MSCs</b>\", \"bbox\": [1, 17, 65, 27]}, {\"cell\": \"1,642 ± 1,157\", \"bbox\": [129, 17, 172, 26]}, {\"cell\": \"329 ± 69\", \"bbox\": [195, 17, 224, 26]}, {\"cell\": \"12,602 ± 1,492\", \"bbox\": [247, 17, 294, 26]}, {\"cell\": \"21 ± 3\", \"bbox\": [320, 17, 342, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 17, 406, 26]}, {\"cell\": \"3.2 ± 1.2\", \"bbox\": [446, 17, 474, 26]}, {\"cell\": \"<b>PB-positive selected monocytes</b>\", \"bbox\": [1, 31, 112, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Condition 1\", \"bbox\": [1, 45, 40, 54]}, {\"cell\": \"200 ± 35\", \"bbox\": [136, 45, 165, 54]}, {\"cell\": \"40 ± 5\", \"bbox\": [199, 45, 220, 54]}, {\"cell\": \"7 ± 1\", \"bbox\": [261, 45, 279, 54]}, {\"cell\": \"12 ± 5\", \"bbox\": [320, 45, 342, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 45, 408, 54]}, {\"cell\": \"1.9 ± 0.2\", \"bbox\": [446, 45, 474, 54]}, {\"cell\": \"Condition 2\", \"bbox\": [1, 59, 40, 68]}, {\"cell\": \"186 ± 78\", \"bbox\": [136, 59, 165, 68]}, {\"cell\": \"52 ± 25\", \"bbox\": [197, 59, 222, 68]}, {\"cell\": \"20 ± 19\", \"bbox\": [257, 59, 283, 68]}, {\"cell\": \"12 ± 2\", \"bbox\": [320, 59, 342, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 59, 408, 68]}, {\"cell\": \"15 ± 4\", \"bbox\": [449, 59, 471, 68]}, {\"cell\": \"Condition 3\", \"bbox\": [1, 73, 40, 82]}, {\"cell\": \"278 ± 18\", \"bbox\": [136, 73, 165, 82]}, {\"cell\": \"48 ± 15\", \"bbox\": [197, 73, 222, 82]}, {\"cell\": \"137 ± 35\", \"bbox\": [256, 73, 285, 82]}, {\"cell\": \"25 ± 2\", \"bbox\": [320, 73, 342, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 73, 408, 82]}, {\"cell\": \"5 ± 2\", \"bbox\": [451, 73, 469, 82]}, {\"cell\": \"Co-cultured with MSCs\", \"bbox\": [1, 87, 76, 96]}, {\"cell\": \"26 ± 9*\", \"bbox\": [138, 87, 163, 96]}, {\"cell\": \"210 ± 49\", \"bbox\": [195, 87, 224, 96]}, {\"cell\": \"155 ± 71*\", \"bbox\": [254, 87, 286, 96]}, {\"cell\": \"34 ± 4\", \"bbox\": [320, 87, 342, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 87, 417, 96]}, {\"cell\": \"957 ± 552*\", \"bbox\": [442, 87, 478, 96]}, {\"cell\": \"<b>PB-untouched monocytes</b>\", \"bbox\": [1, 101, 92, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Condition 1\", \"bbox\": [1, 115, 40, 124]}, {\"cell\": \"229 ± 36\", \"bbox\": [136, 115, 165, 124]}, {\"cell\": \"46 ± 36\", \"bbox\": [197, 115, 222, 124]}, {\"cell\": \"9 ± 1\", \"bbox\": [261, 115, 279, 124]}, {\"cell\": \"11 ± 2\", \"bbox\": [320, 115, 342, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 115, 408, 124]}, {\"cell\": \"1.5 ± 0.7\", \"bbox\": [446, 115, 474, 124]}, {\"cell\": \"Condition 2\", \"bbox\": [1, 129, 40, 138]}, {\"cell\": \"215 ± 142\", \"bbox\": [134, 129, 167, 138]}, {\"cell\": \"54 ± 43\", \"bbox\": [197, 129, 222, 138]}, {\"cell\": \"28 ± 23\", \"bbox\": [257, 129, 283, 138]}, {\"cell\": \"16 ± 6\", \"bbox\": [320, 129, 342, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 128, 406, 138]}, {\"cell\": \"18 ± 8\", \"bbox\": [449, 129, 471, 138]}, {\"cell\": \"Condition 3\", \"bbox\": [1, 143, 40, 152]}, {\"cell\": \"216 ± 25<sup>†</sup>\", \"bbox\": [135, 142, 166, 152]}, {\"cell\": \"61 ± 16\", \"bbox\": [197, 143, 222, 152]}, {\"cell\": \"163 ± 75\", \"bbox\": [256, 143, 285, 152]}, {\"cell\": \"18 ± 3\", \"bbox\": [320, 143, 342, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 143, 408, 152]}, {\"cell\": \"4.3 ± 1.7\", \"bbox\": [446, 143, 474, 152]}, {\"cell\": \"Co-cultured with MSCs\", \"bbox\": [1, 157, 76, 166]}, {\"cell\": \"25 ± 9*\", \"bbox\": [138, 157, 163, 166]}, {\"cell\": \"197 ± 96\", \"bbox\": [195, 157, 224, 166]}, {\"cell\": \"134 ± 47*\", \"bbox\": [254, 157, 286, 166]}, {\"cell\": \"27 ± 5<sup>†</sup>\", \"bbox\": [319, 156, 343, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 157, 417, 166]}, {\"cell\": \"878 ± 514*\", \"bbox\": [442, 157, 478, 166]}, {\"cell\": \"<b>SVF CD14</b><sup><b>+ </b></sup><b>cells</b>\", \"bbox\": [1, 169, 57, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Condition 2\", \"bbox\": [1, 185, 40, 194]}, {\"cell\": \"220 ± 123*\", \"bbox\": [133, 185, 169, 194]}, {\"cell\": \"1,733 ± 193*\", \"bbox\": [189, 185, 230, 194]}, {\"cell\": \"18 ± 8*\", \"bbox\": [258, 185, 282, 194]}, {\"cell\": \"580 ± 199*\", \"bbox\": [313, 185, 349, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 185, 419, 194]}, {\"cell\": \"4,017 ± 791*\", \"bbox\": [439, 185, 480, 194]}, {\"cell\": \"Condition 3\", \"bbox\": [1, 199, 40, 208]}, {\"cell\": \"176 ± 96*<sup>‡</sup>\", \"bbox\": [133, 198, 168, 208]}, {\"cell\": \"916 ± 164*<sup>†</sup>\", \"bbox\": [190, 198, 229, 208]}, {\"cell\": \"13 ± 4*<sup>‡</sup>\", \"bbox\": [256, 198, 284, 208]}, {\"cell\": \"341 ± 121*<sup>†‡</sup>\", \"bbox\": [310, 198, 352, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 198, 418, 208]}, {\"cell\": \"1,782 ± 1,001*<sup>†</sup>\", \"bbox\": [435, 198, 484, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4055093_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}118{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Different species</b></td><td><b>Throat swab</b></td><td><b>Sputum</b></td><td><b>Chest tube</b></td><td><b>BAL</b></td><td><b>Pus</b></td><td><b>Urine</b></td><td><b>Stool</b></td><td><b>Blood</b></td><td><b>Total No(%)</b></td></tr></thead><tbody><tr><td><b><i>Aeromonas hydrophila</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>1</td><td>-</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Alcaligenes xylosoxidans</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>1</td><td>1</td><td>-</td><td>-</td><td>2(3.2)</td></tr><tr><td><b><i>Bordetella bronchiseptica</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Burkholderia cepacia</i></b></td><td>1</td><td>[EMPTY_CELL]</td><td>-</td><td>1</td><td>2</td><td>-</td><td>-</td><td>-</td><td>6(9.5)</td></tr><tr><td><b><i>CDC gp IV C-2</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>1</td><td>-</td><td>-</td><td>1</td><td>2(3.2)</td></tr><tr><td><b><i>Cedecea lapagei</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>1</td><td>1(1.6)</td></tr><tr><td><b><i>Chryseobacterium indologenes</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Chryseobacterium meningosepticum</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>1</td><td>-</td><td>1</td><td>-</td><td>1</td><td>-</td><td>3(4.8)</td></tr><tr><td><b><i>Chromobacterium violacum</i></b></td><td>1</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>4</td><td>1</td><td>-</td><td>-</td><td>7(11.1)</td></tr><tr><td><b><i>Hafnia alvei</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>1</td><td>-</td><td>1</td><td>-</td><td>2(3.2)</td></tr><tr><td><b><i>Kluyvera ascorbata</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3</td><td>-</td><td>5(7.9)</td></tr><tr><td><b><i>Morganella morgani</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>1</td><td>-</td><td>-</td><td>3(4.8)</td></tr><tr><td><b><i>Proteus mirabilis</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>1</td><td>-</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Proteus penneri</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2</td><td>2(3.2)</td></tr><tr><td><b><i>Proteus vulgaris</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>1</td><td>-</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Providencia rettgeri</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>1</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Providencia stuarti</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>1</td><td>-</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Salmonella arizona</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2</td><td>1</td><td>3(4.8)</td></tr><tr><td><b><i>Salmonella choleraesuis</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Salmonella Paratyphi A</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Shigella </i>species</b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4</td><td>-</td><td>4(6.4)</td></tr><tr><td><b><i>Stenotrophomonas maltophilia</i></b></td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>5(7.9)</td></tr><tr><td><b><i>Vibrio alginolyticus</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Vibrio fluvialis</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Yersinia enterocolitica</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>1</td><td>2(3.2)</td></tr><tr><td><b><i>Yersinia pseudotuberculosis</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>1</td><td>-</td><td>-</td><td>-</td><td>-</td><td>2</td><td>3(4.8)</td></tr><tr><td><b><i>Yersinia ruckeri</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>1</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b><i>Yokenella regensburgei</i></b></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>1</td><td>-</td><td>-</td><td>-</td><td>1(1.6)</td></tr><tr><td><b>Total No(%)</b></td><td>3(4.8)</td><td>[EMPTY_CELL]</td><td>4(6.4)</td><td>1(1.6)</td><td>15(23.8)</td><td>5(7.9)</td><td>13(20.6)</td><td>8(12.7)</td><td>63(100)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Different species</b>\", \"bbox\": [40, 5, 101, 13]}, {\"cell\": \"<b>Throat swab</b>\", \"bbox\": [144, 5, 191, 13]}, {\"cell\": \"<b>Sputum</b>\", \"bbox\": [200, 5, 230, 13]}, {\"cell\": \"<b>Chest tube</b>\", \"bbox\": [239, 5, 280, 13]}, {\"cell\": \"<b>BAL</b>\", \"bbox\": [290, 5, 307, 13]}, {\"cell\": \"<b>Pus</b>\", \"bbox\": [323, 5, 337, 13]}, {\"cell\": \"<b>Urine</b>\", \"bbox\": [352, 5, 374, 13]}, {\"cell\": \"<b>Stool</b>\", \"bbox\": [385, 5, 406, 13]}, {\"cell\": \"<b>Blood</b>\", \"bbox\": [418, 5, 441, 13]}, {\"cell\": \"<b>Total No(%)</b>\", \"bbox\": [450, 5, 495, 13]}, {\"cell\": \"<b><i>Aeromonas hydrophila</i></b>\", \"bbox\": [32, 26, 108, 35]}, {\"cell\": \"-\", \"bbox\": [165, 26, 170, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 26, 217, 35]}, {\"cell\": \"-\", \"bbox\": [257, 26, 262, 35]}, {\"cell\": \"-\", \"bbox\": [296, 26, 301, 35]}, {\"cell\": \"1\", \"bbox\": [327, 26, 333, 35]}, {\"cell\": \"-\", \"bbox\": [361, 26, 365, 35]}, {\"cell\": \"-\", \"bbox\": [394, 26, 398, 35]}, {\"cell\": \"-\", \"bbox\": [427, 26, 432, 35]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 26, 483, 35]}, {\"cell\": \"<b><i>Alcaligenes xylosoxidans</i></b>\", \"bbox\": [29, 48, 112, 56]}, {\"cell\": \"-\", \"bbox\": [165, 47, 170, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 47, 217, 56]}, {\"cell\": \"-\", \"bbox\": [257, 47, 262, 56]}, {\"cell\": \"-\", \"bbox\": [296, 47, 301, 56]}, {\"cell\": \"1\", \"bbox\": [327, 47, 333, 56]}, {\"cell\": \"1\", \"bbox\": [360, 47, 366, 56]}, {\"cell\": \"-\", \"bbox\": [394, 47, 398, 56]}, {\"cell\": \"-\", \"bbox\": [427, 47, 432, 56]}, {\"cell\": \"2(3.2)\", \"bbox\": [463, 47, 483, 56]}, {\"cell\": \"<b><i>Bordetella bronchiseptica</i></b>\", \"bbox\": [27, 69, 113, 78]}, {\"cell\": \"-\", \"bbox\": [165, 69, 170, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 69, 218, 78]}, {\"cell\": \"-\", \"bbox\": [257, 69, 262, 78]}, {\"cell\": \"-\", \"bbox\": [296, 69, 301, 78]}, {\"cell\": \"-\", \"bbox\": [328, 69, 332, 78]}, {\"cell\": \"-\", \"bbox\": [361, 69, 365, 78]}, {\"cell\": \"-\", \"bbox\": [394, 69, 398, 78]}, {\"cell\": \"-\", \"bbox\": [427, 69, 432, 78]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 69, 483, 78]}, {\"cell\": \"<b><i>Burkholderia cepacia</i></b>\", \"bbox\": [34, 91, 106, 99]}, {\"cell\": \"1\", \"bbox\": [165, 91, 170, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 91, 218, 99]}, {\"cell\": \"-\", \"bbox\": [257, 91, 262, 99]}, {\"cell\": \"1\", \"bbox\": [295, 91, 301, 99]}, {\"cell\": \"2\", \"bbox\": [327, 91, 333, 99]}, {\"cell\": \"-\", \"bbox\": [361, 91, 365, 99]}, {\"cell\": \"-\", \"bbox\": [394, 91, 398, 99]}, {\"cell\": \"-\", \"bbox\": [427, 91, 432, 99]}, {\"cell\": \"6(9.5)\", \"bbox\": [463, 91, 483, 99]}, {\"cell\": \"<b><i>CDC gp IV C-2</i></b>\", \"bbox\": [45, 112, 95, 121]}, {\"cell\": \"-\", \"bbox\": [165, 112, 170, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 112, 217, 121]}, {\"cell\": \"-\", \"bbox\": [257, 112, 262, 121]}, {\"cell\": \"-\", \"bbox\": [296, 112, 301, 121]}, {\"cell\": \"1\", \"bbox\": [327, 112, 333, 121]}, {\"cell\": \"-\", \"bbox\": [361, 112, 365, 121]}, {\"cell\": \"-\", \"bbox\": [394, 112, 398, 121]}, {\"cell\": \"1\", \"bbox\": [427, 112, 432, 121]}, {\"cell\": \"2(3.2)\", \"bbox\": [463, 112, 483, 121]}, {\"cell\": \"<b><i>Cedecea lapagei</i></b>\", \"bbox\": [42, 134, 99, 142]}, {\"cell\": \"-\", \"bbox\": [165, 134, 170, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 134, 217, 142]}, {\"cell\": \"-\", \"bbox\": [257, 134, 262, 142]}, {\"cell\": \"-\", \"bbox\": [296, 134, 301, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [361, 134, 365, 142]}, {\"cell\": \"-\", \"bbox\": [394, 134, 398, 142]}, {\"cell\": \"1\", \"bbox\": [427, 134, 432, 142]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 134, 483, 142]}, {\"cell\": \"<b><i>Chryseobacterium indologenes</i></b>\", \"bbox\": [19, 155, 122, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 155, 218, 164]}, {\"cell\": \"-\", \"bbox\": [257, 155, 262, 164]}, {\"cell\": \"-\", \"bbox\": [296, 155, 301, 164]}, {\"cell\": \"-\", \"bbox\": [328, 155, 332, 164]}, {\"cell\": \"-\", \"bbox\": [361, 155, 365, 164]}, {\"cell\": \"-\", \"bbox\": [394, 155, 398, 164]}, {\"cell\": \"-\", \"bbox\": [427, 155, 432, 164]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 155, 483, 164]}, {\"cell\": \"<b><i>Chryseobacterium meningosepticum</i></b>\", \"bbox\": [10, 177, 131, 185]}, {\"cell\": \"-\", \"bbox\": [165, 176, 170, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 176, 217, 185]}, {\"cell\": \"1\", \"bbox\": [257, 176, 262, 185]}, {\"cell\": \"-\", \"bbox\": [296, 176, 301, 185]}, {\"cell\": \"1\", \"bbox\": [327, 176, 333, 185]}, {\"cell\": \"-\", \"bbox\": [361, 176, 365, 185]}, {\"cell\": \"1\", \"bbox\": [393, 176, 399, 185]}, {\"cell\": \"-\", \"bbox\": [427, 176, 432, 185]}, {\"cell\": \"3(4.8)\", \"bbox\": [463, 176, 483, 185]}, {\"cell\": \"<b><i>Chromobacterium violacum</i></b>\", \"bbox\": [24, 198, 117, 207]}, {\"cell\": \"1\", \"bbox\": [165, 198, 170, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 198, 218, 207]}, {\"cell\": \"-\", \"bbox\": [257, 198, 262, 207]}, {\"cell\": \"-\", \"bbox\": [296, 198, 301, 207]}, {\"cell\": \"4\", \"bbox\": [327, 198, 333, 207]}, {\"cell\": \"1\", \"bbox\": [360, 198, 366, 207]}, {\"cell\": \"-\", \"bbox\": [394, 198, 398, 207]}, {\"cell\": \"-\", \"bbox\": [427, 198, 432, 207]}, {\"cell\": \"7(11.1)\", \"bbox\": [461, 198, 485, 207]}, {\"cell\": \"<b><i>Hafnia alvei</i></b>\", \"bbox\": [49, 220, 91, 228]}, {\"cell\": \"-\", \"bbox\": [165, 220, 170, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 220, 217, 228]}, {\"cell\": \"-\", \"bbox\": [257, 220, 262, 228]}, {\"cell\": \"-\", \"bbox\": [296, 220, 301, 228]}, {\"cell\": \"1\", \"bbox\": [327, 220, 333, 228]}, {\"cell\": \"-\", \"bbox\": [361, 220, 365, 228]}, {\"cell\": \"1\", \"bbox\": [393, 220, 399, 228]}, {\"cell\": \"-\", \"bbox\": [427, 220, 432, 228]}, {\"cell\": \"2(3.2)\", \"bbox\": [463, 220, 483, 228]}, {\"cell\": \"<b><i>Kluyvera ascorbata</i></b>\", \"bbox\": [38, 241, 103, 250]}, {\"cell\": \"-\", \"bbox\": [165, 241, 170, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 241, 218, 250]}, {\"cell\": \"-\", \"bbox\": [257, 241, 262, 250]}, {\"cell\": \"-\", \"bbox\": [296, 241, 301, 250]}, {\"cell\": \"-\", \"bbox\": [328, 241, 332, 250]}, {\"cell\": \"-\", \"bbox\": [361, 241, 365, 250]}, {\"cell\": \"3\", \"bbox\": [393, 241, 399, 250]}, {\"cell\": \"-\", \"bbox\": [427, 241, 432, 250]}, {\"cell\": \"5(7.9)\", \"bbox\": [463, 241, 483, 250]}, {\"cell\": \"<b><i>Morganella morgani</i></b>\", \"bbox\": [36, 263, 105, 271]}, {\"cell\": \"-\", \"bbox\": [165, 263, 170, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 263, 218, 271]}, {\"cell\": \"-\", \"bbox\": [257, 263, 262, 271]}, {\"cell\": \"-\", \"bbox\": [296, 263, 301, 271]}, {\"cell\": \"-\", \"bbox\": [328, 263, 332, 271]}, {\"cell\": \"1\", \"bbox\": [360, 263, 366, 271]}, {\"cell\": \"-\", \"bbox\": [394, 263, 398, 271]}, {\"cell\": \"-\", \"bbox\": [427, 263, 432, 271]}, {\"cell\": \"3(4.8)\", \"bbox\": [463, 263, 483, 271]}, {\"cell\": \"<b><i>Proteus mirabilis</i></b>\", \"bbox\": [42, 284, 99, 293]}, {\"cell\": \"-\", \"bbox\": [165, 284, 170, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 284, 217, 293]}, {\"cell\": \"-\", \"bbox\": [257, 284, 262, 293]}, {\"cell\": \"-\", \"bbox\": [296, 284, 301, 293]}, {\"cell\": \"1\", \"bbox\": [327, 284, 333, 293]}, {\"cell\": \"-\", \"bbox\": [361, 284, 365, 293]}, {\"cell\": \"-\", \"bbox\": [394, 284, 398, 293]}, {\"cell\": \"-\", \"bbox\": [427, 284, 432, 293]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 284, 483, 293]}, {\"cell\": \"<b><i>Proteus penneri</i></b>\", \"bbox\": [43, 306, 97, 314]}, {\"cell\": \"-\", \"bbox\": [165, 305, 170, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 305, 217, 314]}, {\"cell\": \"-\", \"bbox\": [257, 305, 262, 314]}, {\"cell\": \"-\", \"bbox\": [296, 305, 301, 314]}, {\"cell\": \"-\", \"bbox\": [328, 305, 332, 314]}, {\"cell\": \"-\", \"bbox\": [361, 305, 365, 314]}, {\"cell\": \"-\", \"bbox\": [394, 305, 398, 314]}, {\"cell\": \"2\", \"bbox\": [427, 305, 432, 314]}, {\"cell\": \"2(3.2)\", \"bbox\": [463, 305, 483, 314]}, {\"cell\": \"<b><i>Proteus vulgaris</i></b>\", \"bbox\": [43, 327, 97, 336]}, {\"cell\": \"-\", \"bbox\": [165, 327, 170, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 327, 217, 336]}, {\"cell\": \"-\", \"bbox\": [257, 327, 262, 336]}, {\"cell\": \"-\", \"bbox\": [296, 327, 301, 336]}, {\"cell\": \"1\", \"bbox\": [327, 327, 333, 336]}, {\"cell\": \"-\", \"bbox\": [361, 327, 365, 336]}, {\"cell\": \"-\", \"bbox\": [394, 327, 398, 336]}, {\"cell\": \"-\", \"bbox\": [427, 327, 432, 336]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 327, 483, 336]}, {\"cell\": \"<b><i>Providencia rettgeri</i></b>\", \"bbox\": [37, 349, 104, 357]}, {\"cell\": \"-\", \"bbox\": [165, 349, 170, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 349, 217, 357]}, {\"cell\": \"-\", \"bbox\": [257, 349, 262, 357]}, {\"cell\": \"-\", \"bbox\": [296, 349, 301, 357]}, {\"cell\": \"-\", \"bbox\": [328, 349, 332, 357]}, {\"cell\": \"1\", \"bbox\": [360, 349, 366, 357]}, {\"cell\": \"-\", \"bbox\": [394, 349, 398, 357]}, {\"cell\": \"-\", \"bbox\": [427, 349, 432, 357]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 349, 483, 357]}, {\"cell\": \"<b><i>Providencia stuarti</i></b>\", \"bbox\": [38, 370, 102, 379]}, {\"cell\": \"-\", \"bbox\": [165, 370, 170, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 370, 217, 379]}, {\"cell\": \"-\", \"bbox\": [257, 370, 262, 379]}, {\"cell\": \"-\", \"bbox\": [296, 370, 301, 379]}, {\"cell\": \"1\", \"bbox\": [327, 370, 333, 379]}, {\"cell\": \"-\", \"bbox\": [361, 370, 365, 379]}, {\"cell\": \"-\", \"bbox\": [394, 370, 398, 379]}, {\"cell\": \"-\", \"bbox\": [427, 370, 432, 379]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 370, 483, 379]}, {\"cell\": \"<b><i>Salmonella arizona</i></b>\", \"bbox\": [38, 392, 103, 400]}, {\"cell\": \"-\", \"bbox\": [165, 392, 170, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 392, 217, 400]}, {\"cell\": \"-\", \"bbox\": [257, 392, 262, 400]}, {\"cell\": \"-\", \"bbox\": [296, 392, 301, 400]}, {\"cell\": \"-\", \"bbox\": [328, 392, 332, 400]}, {\"cell\": \"-\", \"bbox\": [361, 392, 365, 400]}, {\"cell\": \"2\", \"bbox\": [393, 392, 399, 400]}, {\"cell\": \"1\", \"bbox\": [427, 392, 432, 400]}, {\"cell\": \"3(4.8)\", \"bbox\": [463, 392, 483, 400]}, {\"cell\": \"<b><i>Salmonella choleraesuis</i></b>\", \"bbox\": [30, 413, 110, 422]}, {\"cell\": \"-\", \"bbox\": [165, 413, 170, 422]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 413, 217, 422]}, {\"cell\": \"-\", \"bbox\": [257, 413, 262, 422]}, {\"cell\": \"-\", \"bbox\": [296, 413, 301, 422]}, {\"cell\": \"-\", \"bbox\": [328, 413, 332, 422]}, {\"cell\": \"-\", \"bbox\": [361, 413, 365, 422]}, {\"cell\": \"1\", \"bbox\": [393, 413, 399, 422]}, {\"cell\": \"-\", \"bbox\": [427, 413, 432, 422]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 413, 483, 422]}, {\"cell\": \"<b><i>Salmonella Paratyphi A</i></b>\", \"bbox\": [31, 435, 110, 443]}, {\"cell\": \"-\", \"bbox\": [165, 434, 170, 443]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 434, 217, 443]}, {\"cell\": \"-\", \"bbox\": [257, 434, 262, 443]}, {\"cell\": \"-\", \"bbox\": [296, 434, 301, 443]}, {\"cell\": \"-\", \"bbox\": [328, 434, 332, 443]}, {\"cell\": \"-\", \"bbox\": [361, 434, 365, 443]}, {\"cell\": \"1\", \"bbox\": [393, 434, 399, 443]}, {\"cell\": \"-\", \"bbox\": [427, 434, 432, 443]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 434, 483, 443]}, {\"cell\": \"<b><i>Shigella </i>species</b>\", \"bbox\": [43, 456, 98, 465]}, {\"cell\": \"-\", \"bbox\": [165, 456, 170, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 456, 217, 465]}, {\"cell\": \"-\", \"bbox\": [257, 456, 262, 465]}, {\"cell\": \"-\", \"bbox\": [296, 456, 301, 465]}, {\"cell\": \"-\", \"bbox\": [328, 456, 332, 465]}, {\"cell\": \"-\", \"bbox\": [361, 456, 365, 465]}, {\"cell\": \"4\", \"bbox\": [393, 456, 399, 465]}, {\"cell\": \"-\", \"bbox\": [427, 456, 432, 465]}, {\"cell\": \"4(6.4)\", \"bbox\": [463, 456, 483, 465]}, {\"cell\": \"<b><i>Stenotrophomonas maltophilia</i></b>\", \"bbox\": [18, 478, 123, 486]}, {\"cell\": \"1\", \"bbox\": [165, 478, 170, 486]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 478, 218, 486]}, {\"cell\": \"1\", \"bbox\": [257, 478, 262, 486]}, {\"cell\": \"-\", \"bbox\": [296, 478, 301, 486]}, {\"cell\": \"-\", \"bbox\": [328, 478, 332, 486]}, {\"cell\": \"-\", \"bbox\": [361, 478, 365, 486]}, {\"cell\": \"-\", \"bbox\": [394, 478, 398, 486]}, {\"cell\": \"-\", \"bbox\": [427, 478, 432, 486]}, {\"cell\": \"5(7.9)\", \"bbox\": [463, 478, 483, 486]}, {\"cell\": \"<b><i>Vibrio alginolyticus</i></b>\", \"bbox\": [38, 499, 102, 508]}, {\"cell\": \"-\", \"bbox\": [165, 499, 170, 508]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 499, 218, 508]}, {\"cell\": \"-\", \"bbox\": [257, 499, 262, 508]}, {\"cell\": \"-\", \"bbox\": [296, 499, 301, 508]}, {\"cell\": \"-\", \"bbox\": [328, 499, 332, 508]}, {\"cell\": \"-\", \"bbox\": [361, 499, 365, 508]}, {\"cell\": \"-\", \"bbox\": [394, 499, 398, 508]}, {\"cell\": \"-\", \"bbox\": [427, 499, 432, 508]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 499, 483, 508]}, {\"cell\": \"<b><i>Vibrio fluvialis</i></b>\", \"bbox\": [46, 521, 94, 529]}, {\"cell\": \"-\", \"bbox\": [165, 521, 170, 529]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 521, 217, 529]}, {\"cell\": \"1\", \"bbox\": [257, 521, 262, 529]}, {\"cell\": \"-\", \"bbox\": [296, 521, 301, 529]}, {\"cell\": \"-\", \"bbox\": [328, 521, 332, 529]}, {\"cell\": \"-\", \"bbox\": [361, 521, 365, 529]}, {\"cell\": \"-\", \"bbox\": [394, 521, 398, 529]}, {\"cell\": \"-\", \"bbox\": [427, 521, 432, 529]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 521, 483, 529]}, {\"cell\": \"<b><i>Yersinia enterocolitica</i></b>\", \"bbox\": [33, 542, 108, 551]}, {\"cell\": \"-\", \"bbox\": [165, 542, 170, 551]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 542, 218, 551]}, {\"cell\": \"-\", \"bbox\": [257, 542, 262, 551]}, {\"cell\": \"-\", \"bbox\": [296, 542, 301, 551]}, {\"cell\": \"-\", \"bbox\": [328, 542, 332, 551]}, {\"cell\": \"-\", \"bbox\": [361, 542, 365, 551]}, {\"cell\": \"-\", \"bbox\": [394, 542, 398, 551]}, {\"cell\": \"1\", \"bbox\": [427, 542, 432, 551]}, {\"cell\": \"2(3.2)\", \"bbox\": [463, 542, 483, 551]}, {\"cell\": \"<b><i>Yersinia pseudotuberculosis</i></b>\", \"bbox\": [24, 564, 116, 572]}, {\"cell\": \"-\", \"bbox\": [165, 564, 170, 572]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 564, 217, 572]}, {\"cell\": \"1\", \"bbox\": [257, 564, 262, 572]}, {\"cell\": \"-\", \"bbox\": [296, 564, 301, 572]}, {\"cell\": \"-\", \"bbox\": [328, 564, 332, 572]}, {\"cell\": \"-\", \"bbox\": [361, 564, 365, 572]}, {\"cell\": \"-\", \"bbox\": [394, 564, 398, 572]}, {\"cell\": \"2\", \"bbox\": [427, 564, 432, 572]}, {\"cell\": \"3(4.8)\", \"bbox\": [463, 564, 483, 572]}, {\"cell\": \"<b><i>Yersinia ruckeri</i></b>\", \"bbox\": [44, 585, 97, 594]}, {\"cell\": \"-\", \"bbox\": [165, 585, 170, 594]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 585, 217, 594]}, {\"cell\": \"-\", \"bbox\": [257, 585, 262, 594]}, {\"cell\": \"-\", \"bbox\": [296, 585, 301, 594]}, {\"cell\": \"-\", \"bbox\": [328, 585, 332, 594]}, {\"cell\": \"1\", \"bbox\": [360, 585, 366, 594]}, {\"cell\": \"-\", \"bbox\": [394, 585, 398, 594]}, {\"cell\": \"-\", \"bbox\": [427, 585, 432, 594]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 585, 483, 594]}, {\"cell\": \"<b><i>Yokenella regensburgei</i></b>\", \"bbox\": [32, 607, 109, 615]}, {\"cell\": \"-\", \"bbox\": [165, 607, 170, 615]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 607, 217, 615]}, {\"cell\": \"-\", \"bbox\": [257, 607, 262, 615]}, {\"cell\": \"-\", \"bbox\": [296, 607, 301, 615]}, {\"cell\": \"1\", \"bbox\": [327, 607, 333, 615]}, {\"cell\": \"-\", \"bbox\": [361, 607, 365, 615]}, {\"cell\": \"-\", \"bbox\": [394, 607, 398, 615]}, {\"cell\": \"-\", \"bbox\": [427, 607, 432, 615]}, {\"cell\": \"1(1.6)\", \"bbox\": [463, 607, 483, 615]}, {\"cell\": \"<b>Total No(%)</b>\", \"bbox\": [48, 628, 93, 637]}, {\"cell\": \"3(4.8)\", \"bbox\": [158, 628, 177, 637]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 628, 229, 637]}, {\"cell\": \"4(6.4)\", \"bbox\": [250, 628, 269, 637]}, {\"cell\": \"1(1.6)\", \"bbox\": [288, 628, 308, 637]}, {\"cell\": \"15(23.8)\", \"bbox\": [316, 628, 344, 637]}, {\"cell\": \"5(7.9)\", \"bbox\": [353, 628, 373, 637]}, {\"cell\": \"13(20.6)\", \"bbox\": [382, 628, 409, 637]}, {\"cell\": \"8(12.7)\", \"bbox\": [418, 628, 441, 637]}, {\"cell\": \"63(100)\", \"bbox\": [460, 628, 486, 637]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2654854_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}119{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Substrate</b></td><td rowspan=\\\"2\\\"><b>Oligonucleotide components</b></td><td colspan=\\\"4\\\"><b>Junction sequence</b></td></tr><tr><td><b>−2</b></td><td><b>−1</b></td><td><b>1</b></td><td><b>IC</b></td></tr></thead><tbody><tr><td>Substrate 1</td><td>1a, 1b, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>A</td><td>T</td></tr><tr><td>Substrate 1-FAM</td><td>1a, 1b-3′-FAM, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>A</td><td>T</td></tr><tr><td>SacI substrate</td><td>SacI-a, SacI-b, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>C</td><td>T</td></tr><tr><td>Substrate 2</td><td>2a, 2b, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>T</td></tr><tr><td>Substrate 3</td><td>2a, 3b, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>A</td></tr><tr><td>3′-phos substrate</td><td>2a, 3b, 1c-3′P</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>A</td></tr><tr><td>Substrate 4</td><td>2a, 4b, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>C</td></tr><tr><td>Substrate 5</td><td>2a, 5b, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>G</td></tr><tr><td>Substrate 6</td><td>6a, 6b, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>C</td><td>A</td></tr><tr><td>Substrate 7</td><td>7a, 7b, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>T</td><td>A</td></tr><tr><td>Substrate 8</td><td>1a, 8b, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>A</td><td>A</td></tr><tr><td>Substrate 9</td><td>9a, 3b, 9c</td><td>[EMPTY_CELL]</td><td>T</td><td>G</td><td>A</td></tr><tr><td>Substrate 10</td><td>10a, 3b, 10c</td><td>[EMPTY_CELL]</td><td>A</td><td>G</td><td>A</td></tr><tr><td>Substrate 11</td><td>11a, 3b, 11c</td><td>[EMPTY_CELL]</td><td>C</td><td>G</td><td>A</td></tr><tr><td>Substrate 12</td><td>12a, 3b, 12c</td><td>[EMPTY_CELL]</td><td>A</td><td>G</td><td>A</td></tr><tr><td>Substrate 13</td><td>13a, 3b, 13c</td><td>[EMPTY_CELL]</td><td>A</td><td>G</td><td>A</td></tr><tr><td>Substrate 14</td><td>14a, 3b, 14c</td><td>[EMPTY_CELL]</td><td>A</td><td>G</td><td>A</td></tr><tr><td>Substrate 15</td><td>2a, 4b, 1c</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>C</td></tr><tr><td>Substrate 16</td><td>11a, 4b, 11c</td><td>[EMPTY_CELL]</td><td>C</td><td>G</td><td>C</td></tr><tr><td>Substrate 17</td><td>10a, 4b, 10c</td><td>[EMPTY_CELL]</td><td>A</td><td>G</td><td>C</td></tr><tr><td>Substrate 18</td><td>9a, 4b, 9c</td><td>[EMPTY_CELL]</td><td>T</td><td>G</td><td>C</td></tr><tr><td>Substrate 19</td><td>19a, 19b, 19c</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>A</td></tr><tr><td>Gap10</td><td>19a, 19b, 19c, 20d-10</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>A</td></tr><tr><td>Gap5</td><td>19a, 19b, 19c, 20d-5</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>A</td></tr><tr><td>Nick</td><td>19a, 19b, 19c, 20d</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>A</td></tr><tr><td>Y-junction</td><td>19a, 19b, 20c-d</td><td>[EMPTY_CELL]</td><td>G</td><td>G</td><td>A</td></tr><tr><td>Spacer 3-1 substrate</td><td>Sp3-1a, Sp3-1b, Sp3-1c</td><td>[EMPTY_CELL]</td><td>A</td><td>G</td><td>A</td></tr><tr><td>Spacer 3-2 substrate</td><td>Sp3-2a, Sp3-2b, Sp3-2c</td><td>[EMPTY_CELL]</td><td>C</td><td>G</td><td>C</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Substrate</b>\", \"bbox\": [1, 18, 43, 29]}, {\"cell\": \"<b>Oligonucleotide components</b>\", \"bbox\": [104, 18, 228, 29]}, {\"cell\": \"<b>Junction sequence</b>\", \"bbox\": [256, 1, 337, 12]}, {\"cell\": \"<b>−2</b>\", \"bbox\": [256, 18, 270, 29]}, {\"cell\": \"<b>−1</b>\", \"bbox\": [304, 18, 318, 29]}, {\"cell\": \"<b>1</b>\", \"bbox\": [351, 18, 359, 29]}, {\"cell\": \"<b>IC</b>\", \"bbox\": [393, 18, 404, 29]}, {\"cell\": \"Substrate 1\", \"bbox\": [1, 33, 43, 43]}, {\"cell\": \"1a, 1b, 1c\", \"bbox\": [104, 33, 140, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 33, 264, 43]}, {\"cell\": \"G\", \"bbox\": [304, 33, 312, 43]}, {\"cell\": \"A\", \"bbox\": [351, 33, 359, 43]}, {\"cell\": \"T\", \"bbox\": [393, 33, 399, 43]}, {\"cell\": \"Substrate 1-FAM\", \"bbox\": [1, 47, 62, 57]}, {\"cell\": \"1a, 1b-3′-FAM, 1c\", \"bbox\": [104, 47, 169, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 47, 264, 57]}, {\"cell\": \"G\", \"bbox\": [304, 47, 312, 57]}, {\"cell\": \"A\", \"bbox\": [351, 47, 359, 57]}, {\"cell\": \"T\", \"bbox\": [393, 47, 399, 57]}, {\"cell\": \"SacI substrate\", \"bbox\": [1, 61, 52, 71]}, {\"cell\": \"SacI-a, SacI-b, 1c\", \"bbox\": [104, 61, 166, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 61, 264, 71]}, {\"cell\": \"G\", \"bbox\": [304, 61, 312, 71]}, {\"cell\": \"C\", \"bbox\": [351, 61, 359, 71]}, {\"cell\": \"T\", \"bbox\": [393, 61, 399, 71]}, {\"cell\": \"Substrate 2\", \"bbox\": [1, 76, 43, 85]}, {\"cell\": \"2a, 2b, 1c\", \"bbox\": [104, 76, 140, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 76, 264, 85]}, {\"cell\": \"G\", \"bbox\": [304, 76, 312, 85]}, {\"cell\": \"G\", \"bbox\": [351, 76, 359, 85]}, {\"cell\": \"T\", \"bbox\": [393, 76, 399, 85]}, {\"cell\": \"Substrate 3\", \"bbox\": [1, 90, 43, 100]}, {\"cell\": \"2a, 3b, 1c\", \"bbox\": [104, 90, 140, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 90, 264, 100]}, {\"cell\": \"G\", \"bbox\": [304, 90, 312, 100]}, {\"cell\": \"G\", \"bbox\": [351, 90, 359, 100]}, {\"cell\": \"A\", \"bbox\": [393, 90, 400, 100]}, {\"cell\": \"3′-phos substrate\", \"bbox\": [1, 104, 64, 114]}, {\"cell\": \"2a, 3b, 1c-3′P\", \"bbox\": [104, 104, 154, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 104, 264, 114]}, {\"cell\": \"G\", \"bbox\": [304, 104, 312, 114]}, {\"cell\": \"G\", \"bbox\": [351, 104, 359, 114]}, {\"cell\": \"A\", \"bbox\": [393, 104, 400, 114]}, {\"cell\": \"Substrate 4\", \"bbox\": [1, 118, 43, 128]}, {\"cell\": \"2a, 4b, 1c\", \"bbox\": [104, 118, 140, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 118, 264, 128]}, {\"cell\": \"G\", \"bbox\": [304, 118, 312, 128]}, {\"cell\": \"G\", \"bbox\": [351, 118, 359, 128]}, {\"cell\": \"C\", \"bbox\": [393, 118, 401, 128]}, {\"cell\": \"Substrate 5\", \"bbox\": [1, 132, 43, 142]}, {\"cell\": \"2a, 5b, 1c\", \"bbox\": [104, 132, 140, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 132, 264, 142]}, {\"cell\": \"G\", \"bbox\": [304, 132, 312, 142]}, {\"cell\": \"G\", \"bbox\": [351, 132, 359, 142]}, {\"cell\": \"G\", \"bbox\": [393, 132, 401, 142]}, {\"cell\": \"Substrate 6\", \"bbox\": [1, 147, 43, 156]}, {\"cell\": \"6a, 6b, 1c\", \"bbox\": [104, 147, 140, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 147, 264, 156]}, {\"cell\": \"G\", \"bbox\": [304, 147, 312, 156]}, {\"cell\": \"C\", \"bbox\": [351, 147, 359, 156]}, {\"cell\": \"A\", \"bbox\": [393, 147, 400, 156]}, {\"cell\": \"Substrate 7\", \"bbox\": [1, 161, 43, 171]}, {\"cell\": \"7a, 7b, 1c\", \"bbox\": [104, 161, 140, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 161, 264, 171]}, {\"cell\": \"G\", \"bbox\": [304, 161, 312, 171]}, {\"cell\": \"T\", \"bbox\": [351, 161, 358, 171]}, {\"cell\": \"A\", \"bbox\": [393, 161, 400, 171]}, {\"cell\": \"Substrate 8\", \"bbox\": [1, 175, 43, 185]}, {\"cell\": \"1a, 8b, 1c\", \"bbox\": [104, 175, 140, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 175, 264, 185]}, {\"cell\": \"G\", \"bbox\": [304, 175, 312, 185]}, {\"cell\": \"A\", \"bbox\": [351, 175, 359, 185]}, {\"cell\": \"A\", \"bbox\": [393, 175, 400, 185]}, {\"cell\": \"Substrate 9\", \"bbox\": [1, 189, 43, 199]}, {\"cell\": \"9a, 3b, 9c\", \"bbox\": [104, 189, 140, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 189, 264, 199]}, {\"cell\": \"T\", \"bbox\": [304, 189, 310, 199]}, {\"cell\": \"G\", \"bbox\": [351, 189, 359, 199]}, {\"cell\": \"A\", \"bbox\": [393, 189, 400, 199]}, {\"cell\": \"Substrate 10\", \"bbox\": [1, 203, 47, 213]}, {\"cell\": \"10a, 3b, 10c\", \"bbox\": [104, 203, 149, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 203, 264, 213]}, {\"cell\": \"A\", \"bbox\": [304, 203, 311, 213]}, {\"cell\": \"G\", \"bbox\": [351, 203, 359, 213]}, {\"cell\": \"A\", \"bbox\": [393, 203, 400, 213]}, {\"cell\": \"Substrate 11\", \"bbox\": [1, 218, 47, 227]}, {\"cell\": \"11a, 3b, 11c\", \"bbox\": [104, 218, 149, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 218, 264, 227]}, {\"cell\": \"C\", \"bbox\": [304, 218, 311, 227]}, {\"cell\": \"G\", \"bbox\": [351, 218, 359, 227]}, {\"cell\": \"A\", \"bbox\": [393, 218, 400, 227]}, {\"cell\": \"Substrate 12\", \"bbox\": [1, 232, 47, 242]}, {\"cell\": \"12a, 3b, 12c\", \"bbox\": [104, 232, 149, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 232, 264, 242]}, {\"cell\": \"A\", \"bbox\": [304, 232, 311, 242]}, {\"cell\": \"G\", \"bbox\": [351, 232, 359, 242]}, {\"cell\": \"A\", \"bbox\": [393, 232, 400, 242]}, {\"cell\": \"Substrate 13\", \"bbox\": [1, 246, 47, 256]}, {\"cell\": \"13a, 3b, 13c\", \"bbox\": [104, 246, 149, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 246, 264, 256]}, {\"cell\": \"A\", \"bbox\": [304, 246, 311, 256]}, {\"cell\": \"G\", \"bbox\": [351, 246, 359, 256]}, {\"cell\": \"A\", \"bbox\": [393, 246, 400, 256]}, {\"cell\": \"Substrate 14\", \"bbox\": [1, 260, 47, 270]}, {\"cell\": \"14a, 3b, 14c\", \"bbox\": [104, 260, 149, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 260, 263, 270]}, {\"cell\": \"A\", \"bbox\": [304, 260, 311, 270]}, {\"cell\": \"G\", \"bbox\": [351, 260, 359, 270]}, {\"cell\": \"A\", \"bbox\": [393, 260, 400, 270]}, {\"cell\": \"Substrate 15\", \"bbox\": [1, 274, 47, 284]}, {\"cell\": \"2a, 4b, 1c\", \"bbox\": [104, 274, 140, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 274, 264, 284]}, {\"cell\": \"G\", \"bbox\": [304, 274, 312, 284]}, {\"cell\": \"G\", \"bbox\": [351, 274, 359, 284]}, {\"cell\": \"C\", \"bbox\": [393, 274, 401, 284]}, {\"cell\": \"Substrate 16\", \"bbox\": [1, 289, 47, 298]}, {\"cell\": \"11a, 4b, 11c\", \"bbox\": [104, 289, 149, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 289, 264, 298]}, {\"cell\": \"C\", \"bbox\": [304, 289, 311, 298]}, {\"cell\": \"G\", \"bbox\": [351, 289, 359, 298]}, {\"cell\": \"C\", \"bbox\": [393, 289, 401, 298]}, {\"cell\": \"Substrate 17\", \"bbox\": [1, 303, 47, 313]}, {\"cell\": \"10a, 4b, 10c\", \"bbox\": [104, 303, 149, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 303, 264, 313]}, {\"cell\": \"A\", \"bbox\": [304, 303, 311, 313]}, {\"cell\": \"G\", \"bbox\": [351, 303, 359, 313]}, {\"cell\": \"C\", \"bbox\": [393, 303, 401, 313]}, {\"cell\": \"Substrate 18\", \"bbox\": [1, 317, 47, 327]}, {\"cell\": \"9a, 4b, 9c\", \"bbox\": [104, 317, 140, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 317, 264, 327]}, {\"cell\": \"T\", \"bbox\": [304, 317, 310, 327]}, {\"cell\": \"G\", \"bbox\": [351, 317, 359, 327]}, {\"cell\": \"C\", \"bbox\": [393, 317, 401, 327]}, {\"cell\": \"Substrate 19\", \"bbox\": [1, 331, 47, 341]}, {\"cell\": \"19a, 19b, 19c\", \"bbox\": [104, 331, 153, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 331, 264, 341]}, {\"cell\": \"G\", \"bbox\": [304, 331, 312, 341]}, {\"cell\": \"G\", \"bbox\": [351, 331, 359, 341]}, {\"cell\": \"A\", \"bbox\": [393, 331, 400, 341]}, {\"cell\": \"Gap10\", \"bbox\": [1, 345, 26, 355]}, {\"cell\": \"19a, 19b, 19c, 20d-10\", \"bbox\": [104, 345, 182, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 345, 264, 355]}, {\"cell\": \"G\", \"bbox\": [304, 345, 312, 355]}, {\"cell\": \"G\", \"bbox\": [351, 345, 359, 355]}, {\"cell\": \"A\", \"bbox\": [393, 345, 400, 355]}, {\"cell\": \"Gap5\", \"bbox\": [1, 360, 22, 369]}, {\"cell\": \"19a, 19b, 19c, 20d-5\", \"bbox\": [104, 360, 177, 369]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 360, 264, 369]}, {\"cell\": \"G\", \"bbox\": [304, 360, 312, 369]}, {\"cell\": \"G\", \"bbox\": [351, 360, 359, 369]}, {\"cell\": \"A\", \"bbox\": [393, 360, 400, 369]}, {\"cell\": \"Nick\", \"bbox\": [1, 374, 18, 384]}, {\"cell\": \"19a, 19b, 19c, 20d\", \"bbox\": [104, 374, 171, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 374, 264, 384]}, {\"cell\": \"G\", \"bbox\": [304, 374, 312, 384]}, {\"cell\": \"G\", \"bbox\": [351, 374, 359, 384]}, {\"cell\": \"A\", \"bbox\": [393, 374, 400, 384]}, {\"cell\": \"Y-junction\", \"bbox\": [1, 388, 38, 398]}, {\"cell\": \"19a, 19b, 20c-d\", \"bbox\": [104, 388, 160, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 388, 264, 398]}, {\"cell\": \"G\", \"bbox\": [304, 388, 312, 398]}, {\"cell\": \"G\", \"bbox\": [351, 388, 359, 398]}, {\"cell\": \"A\", \"bbox\": [393, 388, 400, 398]}, {\"cell\": \"Spacer 3-1 substrate\", \"bbox\": [1, 402, 76, 412]}, {\"cell\": \"Sp3-1a, Sp3-1b, Sp3-1c\", \"bbox\": [104, 402, 189, 412]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 402, 264, 412]}, {\"cell\": \"A\", \"bbox\": [304, 402, 311, 412]}, {\"cell\": \"G\", \"bbox\": [351, 402, 359, 412]}, {\"cell\": \"A\", \"bbox\": [393, 402, 400, 412]}, {\"cell\": \"Spacer 3-2 substrate\", \"bbox\": [1, 416, 76, 426]}, {\"cell\": \"Sp3-2a, Sp3-2b, Sp3-2c\", \"bbox\": [104, 416, 189, 426]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 416, 264, 426]}, {\"cell\": \"C\", \"bbox\": [304, 416, 311, 426]}, {\"cell\": \"G\", \"bbox\": [351, 416, 359, 426]}, {\"cell\": \"C\", \"bbox\": [393, 416, 401, 426]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4574026_016_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}120{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td><td><b>n = 136</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Age</td><td>83 (80-87)</td></tr><tr><td colspan=\\\"4\\\">Female gender</td><td>67 (49.3%)</td></tr><tr><td colspan=\\\"4\\\">BMI</td><td>25.3 (22.6-29-4)</td></tr><tr><td colspan=\\\"5\\\">Presentation</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Syncope</td><td>40 (29.4%)</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Angina pectoris</td><td>28 (20.6%)</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\">Heart failure</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\">NYHA functional class</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7 (5.1%)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>71 (52.2%)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>58 (42.6%)</td></tr><tr><td colspan=\\\"4\\\">Systemic hypertension</td><td>80 (67.2%)</td></tr><tr><td colspan=\\\"4\\\">Diabetes mellitus</td><td>51 (37.5%)</td></tr><tr><td colspan=\\\"4\\\">Hypercholesterolemia</td><td>65 (47.8%)</td></tr><tr><td colspan=\\\"4\\\">Previous AMI</td><td>17 (12.5%)</td></tr><tr><td colspan=\\\"4\\\">Coronary artery disease</td><td>77 (56.6%)</td></tr><tr><td colspan=\\\"4\\\">Previous CABG</td><td>30 (25.2%)</td></tr><tr><td colspan=\\\"4\\\">Previous PCI, days</td><td>46 (33.8%)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>29 (21.3%)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>17 (12.5%)</td></tr><tr><td colspan=\\\"4\\\">Previous stroke</td><td>8 (5.9%)</td></tr><tr><td colspan=\\\"4\\\">Peripheral vascular disease</td><td>32 (23.5%)</td></tr><tr><td colspan=\\\"4\\\">COPD</td><td>13 (9.6%)</td></tr><tr><td colspan=\\\"4\\\">Chronic kidney failure</td><td>70 (51.5%)</td></tr><tr><td colspan=\\\"4\\\">Pulmonary arterial hypertension</td><td>33 (24.3%)</td></tr><tr><td colspan=\\\"4\\\">Sinus rhythm</td><td>102 (75%)</td></tr><tr><td colspan=\\\"4\\\">Permanent atrial fibrillation</td><td>14 (10.3%)</td></tr><tr><td colspan=\\\"4\\\">Previous pacemaker</td><td>19 (14.7%)</td></tr><tr><td colspan=\\\"4\\\">Logistic euroSCORE (%)</td><td>19.1 (11.4-31.1)</td></tr><tr><td colspan=\\\"4\\\">STS mortality (%)</td><td>9.3 (4.8-22.3)</td></tr><tr><td colspan=\\\"4\\\">EF< 50%</td><td>36 (26.5%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n = 136</b>\", \"bbox\": [160, 6, 183, 14]}, {\"cell\": \"Age\", \"bbox\": [5, 20, 18, 29]}, {\"cell\": \"83 (80-87)\", \"bbox\": [156, 20, 187, 29]}, {\"cell\": \"Female gender\", \"bbox\": [5, 34, 48, 43]}, {\"cell\": \"67 (49.3%)\", \"bbox\": [156, 34, 188, 43]}, {\"cell\": \"BMI\", \"bbox\": [5, 48, 18, 57]}, {\"cell\": \"25.3 (22.6-29-4)\", \"bbox\": [149, 48, 195, 57]}, {\"cell\": \"Presentation\", \"bbox\": [5, 62, 41, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Syncope\", \"bbox\": [16, 76, 42, 85]}, {\"cell\": \"40 (29.4%)\", \"bbox\": [156, 76, 188, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Angina pectoris\", \"bbox\": [16, 90, 60, 99]}, {\"cell\": \"28 (20.6%)\", \"bbox\": [156, 90, 188, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Heart failure\", \"bbox\": [16, 104, 52, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NYHA functional class\", \"bbox\": [27, 120, 95, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 134, 44, 143]}, {\"cell\": \"7 (5.1%)\", \"bbox\": [159, 134, 184, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 148, 46, 157]}, {\"cell\": \"71 (52.2%)\", \"bbox\": [156, 148, 188, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 161, 47, 171]}, {\"cell\": \"58 (42.6%)\", \"bbox\": [156, 161, 188, 171]}, {\"cell\": \"Systemic hypertension\", \"bbox\": [5, 175, 69, 184]}, {\"cell\": \"80 (67.2%)\", \"bbox\": [156, 175, 188, 184]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [5, 189, 54, 198]}, {\"cell\": \"51 (37.5%)\", \"bbox\": [156, 189, 188, 198]}, {\"cell\": \"Hypercholesterolemia\", \"bbox\": [5, 203, 66, 212]}, {\"cell\": \"65 (47.8%)\", \"bbox\": [156, 203, 188, 212]}, {\"cell\": \"Previous AMI\", \"bbox\": [5, 217, 43, 226]}, {\"cell\": \"17 (12.5%)\", \"bbox\": [156, 217, 188, 226]}, {\"cell\": \"Coronary artery disease\", \"bbox\": [5, 231, 72, 240]}, {\"cell\": \"77 (56.6%)\", \"bbox\": [156, 231, 188, 240]}, {\"cell\": \"Previous CABG\", \"bbox\": [5, 245, 50, 254]}, {\"cell\": \"30 (25.2%)\", \"bbox\": [156, 245, 188, 254]}, {\"cell\": \"Previous PCI, days\", \"bbox\": [5, 259, 59, 268]}, {\"cell\": \"46 (33.8%)\", \"bbox\": [156, 259, 188, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 273, 30, 282]}, {\"cell\": \"29 (21.3%)\", \"bbox\": [156, 273, 188, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 287, 30, 296]}, {\"cell\": \"17 (12.5%)\", \"bbox\": [156, 287, 188, 296]}, {\"cell\": \"Previous stroke\", \"bbox\": [5, 301, 49, 310]}, {\"cell\": \"8 (5.9%)\", \"bbox\": [159, 301, 184, 310]}, {\"cell\": \"Peripheral vascular disease\", \"bbox\": [5, 315, 82, 324]}, {\"cell\": \"32 (23.5%)\", \"bbox\": [156, 315, 188, 324]}, {\"cell\": \"COPD\", \"bbox\": [5, 329, 25, 338]}, {\"cell\": \"13 (9.6%)\", \"bbox\": [157, 329, 186, 338]}, {\"cell\": \"Chronic kidney failure\", \"bbox\": [5, 343, 66, 352]}, {\"cell\": \"70 (51.5%)\", \"bbox\": [156, 343, 188, 352]}, {\"cell\": \"Pulmonary arterial hypertension\", \"bbox\": [5, 357, 94, 366]}, {\"cell\": \"33 (24.3%)\", \"bbox\": [156, 357, 188, 366]}, {\"cell\": \"Sinus rhythm\", \"bbox\": [5, 371, 43, 380]}, {\"cell\": \"102 (75%)\", \"bbox\": [156, 371, 187, 380]}, {\"cell\": \"Permanent atrial fibrillation\", \"bbox\": [5, 382, 80, 395]}, {\"cell\": \"14 (10.3%)\", \"bbox\": [156, 385, 188, 394]}, {\"cell\": \"Previous pacemaker\", \"bbox\": [5, 399, 63, 408]}, {\"cell\": \"19 (14.7%)\", \"bbox\": [156, 399, 188, 408]}, {\"cell\": \"Logistic euroSCORE (%)\", \"bbox\": [5, 413, 75, 422]}, {\"cell\": \"19.1 (11.4-31.1)\", \"bbox\": [149, 413, 194, 422]}, {\"cell\": \"STS mortality (%)\", \"bbox\": [5, 427, 55, 436]}, {\"cell\": \"9.3 (4.8-22.3)\", \"bbox\": [152, 427, 191, 436]}, {\"cell\": \"EF< 50%\", \"bbox\": [5, 441, 32, 450]}, {\"cell\": \"36 (26.5%)\", \"bbox\": [156, 441, 188, 450]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4940151_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}121{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>NH-l</b></td><td><b>RD-l</b></td><td><b>NH-r</b></td><td><b>LD-r</b></td><td><b>ANOVA</b></td></tr></thead><tbody><tr><td><b>1 kHz tone burst</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Ipsilateral</td><td>99.654 ± 4.235</td><td>[EMPTY_CELL]</td><td>110.035 ± 2.936</td><td>94.769 ± 3.384</td><td><i>F(3.30) = 4.632, p = 0.009* *</i></td></tr><tr><td>[EMPTY_CELL]</td><td>(8)</td><td>[EMPTY_CELL]</td><td>(8)</td><td>(8)</td><td>[EMPTY_CELL]</td></tr><tr><td> Contralateral</td><td>95.990 ± 3.959</td><td>[EMPTY_CELL]</td><td>106.005 ± 2.854</td><td>95.013 ± 2.661</td><td><i>F(3.30) = 2.958, p = 0.048*</i></td></tr><tr><td>[EMPTY_CELL]</td><td>(8)</td><td>[EMPTY_CELL]</td><td>(8)</td><td>(8)</td><td>[EMPTY_CELL]</td></tr><tr><td> IHLD</td><td>3.664 ± 3.574</td><td>[EMPTY_CELL]</td><td>4.030 ± 1.975</td><td>-0.244 ± 1.628</td><td><i>F(3.30) = 1.508, p = 0.232</i></td></tr><tr><td>[EMPTY_CELL]</td><td>(8)</td><td>[EMPTY_CELL]</td><td>(8)</td><td>(8)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Unvoiced CV syllable/pa/</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Ipsilateral</td><td>104.120 ± 4.487</td><td>[EMPTY_CELL]</td><td>106.819 ± 1.420</td><td>97.002 ± 5.747</td><td><i>F(3.26) = 3.046, p = 0.047*</i></td></tr><tr><td>[EMPTY_CELL]</td><td>(7)</td><td>[EMPTY_CELL]</td><td>(6)</td><td>(7)</td><td>[EMPTY_CELL]</td></tr><tr><td> Contralateral</td><td>98.398 ± 4.165</td><td>[EMPTY_CELL]</td><td>103.888 ± 1.981</td><td>102.445 ± 4.580</td><td><i>F(3.26) = 0.800, p = 0.505</i></td></tr><tr><td>[EMPTY_CELL]</td><td>(7)</td><td>[EMPTY_CELL]</td><td>(6)</td><td>(7)</td><td>[EMPTY_CELL]</td></tr><tr><td> IHLD</td><td>5.722 ± 2.950</td><td>[EMPTY_CELL]</td><td>2.931 ± 1.405</td><td>-5.443 ± 1.717</td><td><i>F(3,26) = 5.599, p = 0.004* *</i></td></tr><tr><td>[EMPTY_CELL]</td><td>(7)</td><td>[EMPTY_CELL]</td><td>(6)</td><td>(7)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>NH-l</b>\", \"bbox\": [138, 5, 159, 14]}, {\"cell\": \"<b>RD-l</b>\", \"bbox\": [207, 5, 226, 14]}, {\"cell\": \"<b>NH-r</b>\", \"bbox\": [273, 5, 295, 14]}, {\"cell\": \"<b>LD-r</b>\", \"bbox\": [342, 5, 362, 14]}, {\"cell\": \"<b>ANOVA</b>\", \"bbox\": [426, 5, 461, 14]}, {\"cell\": \"<b>1 kHz tone burst</b>\", \"bbox\": [4, 27, 71, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Ipsilateral\", \"bbox\": [14, 37, 48, 47]}, {\"cell\": \"99.654 ± 4.235\", \"bbox\": [122, 37, 174, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 37, 244, 47]}, {\"cell\": \"110.035 ± 2.936\", \"bbox\": [256, 37, 312, 47]}, {\"cell\": \"94.769 ± 3.384\", \"bbox\": [326, 37, 378, 47]}, {\"cell\": \"<i>F(3.30) = 4.632, p = 0.009* *</i>\", \"bbox\": [394, 37, 493, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(8)\", \"bbox\": [142, 47, 154, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 47, 224, 57]}, {\"cell\": \"(8)\", \"bbox\": [278, 47, 290, 57]}, {\"cell\": \"(8)\", \"bbox\": [346, 47, 358, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Contralateral\", \"bbox\": [14, 58, 61, 67]}, {\"cell\": \"95.990 ± 3.959\", \"bbox\": [122, 58, 174, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 58, 244, 67]}, {\"cell\": \"106.005 ± 2.854\", \"bbox\": [256, 58, 312, 67]}, {\"cell\": \"95.013 ± 2.661\", \"bbox\": [326, 58, 378, 67]}, {\"cell\": \"<i>F(3.30) = 2.958, p = 0.048*</i>\", \"bbox\": [397, 57, 490, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(8)\", \"bbox\": [142, 68, 154, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 68, 224, 77]}, {\"cell\": \"(8)\", \"bbox\": [278, 68, 290, 77]}, {\"cell\": \"(8)\", \"bbox\": [346, 68, 358, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IHLD\", \"bbox\": [14, 78, 35, 88]}, {\"cell\": \"3.664 ± 3.574\", \"bbox\": [124, 78, 172, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 78, 240, 88]}, {\"cell\": \"4.030 ± 1.975\", \"bbox\": [260, 78, 308, 88]}, {\"cell\": \"-0.244 ± 1.628\", \"bbox\": [327, 78, 377, 88]}, {\"cell\": \"<i>F(3.30) = 1.508, p = 0.232</i>\", \"bbox\": [399, 78, 488, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(8)\", \"bbox\": [142, 88, 154, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 88, 224, 98]}, {\"cell\": \"(8)\", \"bbox\": [278, 88, 290, 98]}, {\"cell\": \"(8)\", \"bbox\": [346, 88, 358, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Unvoiced CV syllable/pa/</b>\", \"bbox\": [4, 111, 102, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Ipsilateral\", \"bbox\": [14, 121, 48, 130]}, {\"cell\": \"104.120 ± 4.487\", \"bbox\": [120, 121, 176, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 121, 244, 130]}, {\"cell\": \"106.819 ± 1.420\", \"bbox\": [256, 121, 312, 130]}, {\"cell\": \"97.002 ± 5.747\", \"bbox\": [326, 121, 378, 130]}, {\"cell\": \"<i>F(3.26) = 3.046, p = 0.047*</i>\", \"bbox\": [397, 121, 490, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(7)\", \"bbox\": [142, 131, 154, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 131, 224, 141]}, {\"cell\": \"(6)\", \"bbox\": [278, 131, 290, 141]}, {\"cell\": \"(7)\", \"bbox\": [346, 131, 358, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Contralateral\", \"bbox\": [14, 141, 61, 151]}, {\"cell\": \"98.398 ± 4.165\", \"bbox\": [122, 141, 174, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 141, 244, 151]}, {\"cell\": \"103.888 ± 1.981\", \"bbox\": [256, 141, 312, 151]}, {\"cell\": \"102.445 ± 4.580\", \"bbox\": [324, 141, 380, 151]}, {\"cell\": \"<i>F(3.26) = 0.800, p = 0.505</i>\", \"bbox\": [399, 141, 488, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(7)\", \"bbox\": [142, 152, 154, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 152, 224, 161]}, {\"cell\": \"(6)\", \"bbox\": [278, 152, 290, 161]}, {\"cell\": \"(7)\", \"bbox\": [346, 152, 358, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IHLD\", \"bbox\": [14, 162, 35, 171]}, {\"cell\": \"5.722 ± 2.950\", \"bbox\": [124, 162, 172, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 162, 240, 171]}, {\"cell\": \"2.931 ± 1.405\", \"bbox\": [260, 162, 308, 171]}, {\"cell\": \"-5.443 ± 1.717\", \"bbox\": [327, 162, 377, 171]}, {\"cell\": \"<i>F(3,26) = 5.599, p = 0.004* *</i>\", \"bbox\": [394, 162, 493, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(7)\", \"bbox\": [142, 172, 154, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 172, 224, 182]}, {\"cell\": \"(6)\", \"bbox\": [278, 172, 290, 182]}, {\"cell\": \"(7)\", \"bbox\": [346, 172, 358, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2662863_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}122{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Study</b></td><td><b>Parameter/therapy details</b></td><td><b>ORHM<sup>1</sup></b></td><td><b>ORHT<sup>2</sup></b></td><td><b>LRH<sup>3</sup></b></td><td><b>TLRH<sup>4</sup></b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Stipa et al. [33]</td><td rowspan=\\\"2\\\">Pain intensity: visual analogic scale </td><td>No-mild12/17 (70%)</td><td>No-mild11/27 (40%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Moderate-severe5/17 (30%)</td><td>Moderate-severe17/27 (60%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Lindgren et al. [34]ORHM versus ORHT <i>P</i> < 0.05</td><td>Average total amount ± SD analgesics given</td><td>85 ± 9.8 mg</td><td>50 ± 7.9 mg</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Brown et al. [35] </td><td>Median doses of morphine (range)</td><td>94 mg (21–565)</td><td>101 mg (59–219)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Discontinued patient-controlled analgesia (days)</td><td>3 (2–7)<sup>5</sup></td><td>4 (2–5)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Lohsiriwat et al. [36]ORHT versus LRH <i>P</i> = 0.25</td><td>Time (days) to discontinuation of IV<sup>6</sup> narcotics </td><td>[EMPTY_CELL]</td><td>1.4 ± 1.0<sup>7</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Tan et al. [37]ORH versus LRH <i>P</i> = 0.478</td><td>Median time of narcotic usage (days)</td><td colspan=\\\"2\\\">ORH<sup>8</sup> 2</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>Veenhof et al. [38]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>NR<sup>9</sup></td><td>[EMPTY_CELL]</td><td>NR</td></tr><tr><td>Tanis et al. [39]ORHM versus ORHT <i>P</i> = 0.430</td><td>Stop to parenteral analgesia (days): epidural (91%) or patient-controlled (9%) equally distributed between groups</td><td>3 (1–6)<sup>5</sup></td><td>2 (1–6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study</b>\", \"bbox\": [2, 5, 25, 16]}, {\"cell\": \"<b>Parameter/therapy details</b>\", \"bbox\": [100, 5, 194, 16]}, {\"cell\": \"<b>ORHM<sup>1</sup></b>\", \"bbox\": [263, 4, 294, 16]}, {\"cell\": \"<b>ORHT<sup>2</sup></b>\", \"bbox\": [355, 4, 385, 16]}, {\"cell\": \"<b>LRH<sup>3</sup></b>\", \"bbox\": [428, 3, 450, 15]}, {\"cell\": \"<b>TLRH<sup>4</sup></b>\", \"bbox\": [470, 3, 498, 15]}, {\"cell\": \"Stipa et al. [33]\", \"bbox\": [2, 26, 57, 37]}, {\"cell\": \"Pain intensity: visual analogic scale \", \"bbox\": [100, 23, 208, 45]}, {\"cell\": \"No-mild12/17 (70%)\", \"bbox\": [258, 18, 301, 39]}, {\"cell\": \"No-mild11/27 (40%)\", \"bbox\": [349, 18, 392, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moderate-severe5/17 (30%)\", \"bbox\": [248, 41, 310, 62]}, {\"cell\": \"Moderate-severe17/27 (60%)\", \"bbox\": [339, 41, 401, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lindgren et al. [34]ORHM versus ORHT <i>P</i> < 0.05\", \"bbox\": [2, 64, 83, 98]}, {\"cell\": \"Average total amount ± SD analgesics given\", \"bbox\": [100, 66, 199, 91]}, {\"cell\": \"85 ± 9.8 mg\", \"bbox\": [257, 72, 301, 87]}, {\"cell\": \"50 ± 7.9 mg\", \"bbox\": [349, 72, 392, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Brown et al. [35] \", \"bbox\": [2, 107, 64, 117]}, {\"cell\": \"Median doses of morphine (range)\", \"bbox\": [100, 99, 226, 110]}, {\"cell\": \"94 mg (21–565)\", \"bbox\": [251, 99, 307, 110]}, {\"cell\": \"101 mg (59–219)\", \"bbox\": [341, 99, 399, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Discontinued patient-controlled analgesia (days)\", \"bbox\": [100, 111, 217, 133]}, {\"cell\": \"3 (2–7)<sup>5</sup>\", \"bbox\": [264, 115, 294, 127]}, {\"cell\": \"4 (2–5)\", \"bbox\": [357, 117, 384, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lohsiriwat et al. [36]ORHT versus LRH <i>P</i> = 0.25\", \"bbox\": [2, 135, 78, 168]}, {\"cell\": \"Time (days) to discontinuation of IV<sup>6</sup> narcotics \", \"bbox\": [100, 140, 222, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.4 ± 1.0<sup>7</sup>\", \"bbox\": [352, 141, 388, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 141, 456, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tan et al. [37]ORH versus LRH <i>P</i> = 0.478\", \"bbox\": [2, 169, 67, 202]}, {\"cell\": \"Median time of narcotic usage (days)\", \"bbox\": [100, 174, 210, 195]}, {\"cell\": \"ORH<sup>8</sup> 2\", \"bbox\": [309, 176, 340, 189]}, {\"cell\": \"2\", \"bbox\": [436, 178, 443, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Veenhof et al. [38]\", \"bbox\": [2, 203, 70, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NR<sup>9</sup>\", \"bbox\": [362, 201, 379, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NR\", \"bbox\": [477, 202, 492, 213]}, {\"cell\": \"Tanis et al. [39]ORHM versus ORHT <i>P</i> = 0.430\", \"bbox\": [2, 221, 83, 254]}, {\"cell\": \"Stop to parenteral analgesia (days): epidural (91%) or patient-controlled (9%) equally distributed between groups\", \"bbox\": [100, 216, 226, 258]}, {\"cell\": \"3 (1–6)<sup>5</sup>\", \"bbox\": [265, 230, 293, 242]}, {\"cell\": \"2 (1–6)\", \"bbox\": [357, 232, 383, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3925523_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}123{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Antibody</b></td><td><b>Dilution</b></td><td><b>Supplier</b></td><td><b>Product ID</b></td></tr></thead><tbody><tr><td>YB-1</td><td>1 : 10,000 (WB), 1 : 1000 (IF)</td><td>[EMPTY_CELL]</td><td>ab76149</td></tr><tr><td>p-YB-1 (ser102)</td><td>1 : 2000 (WB)</td><td>[EMPTY_CELL]</td><td>2900</td></tr><tr><td>AFP</td><td>1 : 500 (IF)</td><td>[EMPTY_CELL]</td><td>ab46799</td></tr><tr><td>Albumin</td><td>1 : 500 (IF)</td><td>[EMPTY_CELL]</td><td>A90-134A</td></tr><tr><td>CK19</td><td>1 : 500 (IF)</td><td>[EMPTY_CELL]</td><td>MAB12076</td></tr><tr><td>CD133</td><td>1 : 100 (IF)</td><td>[EMPTY_CELL]</td><td>14-1331-80</td></tr><tr><td>CD90/Thy1</td><td>1 : 500 (IF)</td><td>[EMPTY_CELL]</td><td>NB100-65543</td></tr><tr><td><i>α</i>-SMA</td><td>1 : 500 (IF)</td><td>[EMPTY_CELL]</td><td>ab7817</td></tr><tr><td>Collagen I</td><td>1 : 1000 (WB), 1 : 200(IF)</td><td>[EMPTY_CELL]</td><td>6308</td></tr><tr><td>PDGF-<i>β</i></td><td>1 : 2000 (WB)</td><td>[EMPTY_CELL]</td><td>ab178409</td></tr><tr><td>PDGFR-<i>β</i></td><td>1 : 2000 (WB)</td><td>[EMPTY_CELL]</td><td>ab32570</td></tr><tr><td>p-Stat3</td><td>1 : 1000 (WB)</td><td>[EMPTY_CELL]</td><td>9145</td></tr><tr><td>ERK1/2</td><td>1 : 1000 (WB)</td><td>[EMPTY_CELL]</td><td>4695</td></tr><tr><td>p90 RSK (ser380)</td><td>1 : 1000 (WB)</td><td>[EMPTY_CELL]</td><td>9341</td></tr><tr><td>PI3K p85</td><td>1 : 1000 (WB)</td><td>[EMPTY_CELL]</td><td>MAB2998</td></tr><tr><td>GAPDH</td><td>1 : 10,000 (WB)</td><td>[EMPTY_CELL]</td><td>ab8245</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Antibody</b>\", \"bbox\": [3, 4, 38, 15]}, {\"cell\": \"<b>Dilution</b>\", \"bbox\": [88, 4, 120, 15]}, {\"cell\": \"<b>Supplier</b>\", \"bbox\": [146, 4, 178, 15]}, {\"cell\": \"<b>Product ID</b>\", \"bbox\": [194, 4, 237, 15]}, {\"cell\": \"YB-1\", \"bbox\": [3, 22, 23, 33]}, {\"cell\": \"1 : 10,000 (WB), 1 : 1000 (IF)\", \"bbox\": [74, 17, 134, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 22, 176, 33]}, {\"cell\": \"ab76149\", \"bbox\": [200, 22, 232, 33]}, {\"cell\": \"p-YB-1 (ser102)\", \"bbox\": [3, 41, 63, 51]}, {\"cell\": \"1 : 2000 (WB)\", \"bbox\": [78, 41, 130, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 41, 171, 51]}, {\"cell\": \"2900\", \"bbox\": [206, 41, 225, 51]}, {\"cell\": \"AFP\", \"bbox\": [3, 53, 20, 64]}, {\"cell\": \"1 : 500 (IF)\", \"bbox\": [84, 53, 124, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 53, 176, 64]}, {\"cell\": \"ab46799\", \"bbox\": [200, 53, 232, 64]}, {\"cell\": \"Albumin\", \"bbox\": [3, 66, 37, 77]}, {\"cell\": \"1 : 500 (IF)\", \"bbox\": [84, 66, 124, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 66, 174, 77]}, {\"cell\": \"A90-134A\", \"bbox\": [196, 66, 235, 77]}, {\"cell\": \"CK19\", \"bbox\": [3, 80, 25, 90]}, {\"cell\": \"1 : 500 (IF)\", \"bbox\": [84, 80, 124, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 80, 177, 90]}, {\"cell\": \"MAB12076\", \"bbox\": [194, 80, 237, 90]}, {\"cell\": \"CD133\", \"bbox\": [3, 92, 30, 103]}, {\"cell\": \"1 : 100 (IF)\", \"bbox\": [84, 92, 124, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 92, 183, 103]}, {\"cell\": \"14-1331-80\", \"bbox\": [194, 92, 237, 103]}, {\"cell\": \"CD90/Thy1\", \"bbox\": [3, 105, 47, 116]}, {\"cell\": \"1 : 500 (IF)\", \"bbox\": [84, 105, 124, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 105, 174, 116]}, {\"cell\": \"NB100-65543\", \"bbox\": [190, 105, 242, 116]}, {\"cell\": \"<i>α</i>-SMA\", \"bbox\": [3, 119, 31, 129]}, {\"cell\": \"1 : 500 (IF)\", \"bbox\": [84, 119, 124, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 119, 176, 129]}, {\"cell\": \"ab7817\", \"bbox\": [202, 119, 230, 129]}, {\"cell\": \"Collagen I\", \"bbox\": [3, 137, 41, 147]}, {\"cell\": \"1 : 1000 (WB), 1 : 200(IF)\", \"bbox\": [77, 131, 131, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 137, 176, 147]}, {\"cell\": \"6308\", \"bbox\": [206, 137, 225, 147]}, {\"cell\": \"PDGF-<i>β</i>\", \"bbox\": [3, 155, 36, 166]}, {\"cell\": \"1 : 2000 (WB)\", \"bbox\": [78, 155, 130, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 155, 176, 166]}, {\"cell\": \"ab178409\", \"bbox\": [198, 155, 234, 166]}, {\"cell\": \"PDGFR-<i>β</i>\", \"bbox\": [3, 168, 41, 179]}, {\"cell\": \"1 : 2000 (WB)\", \"bbox\": [78, 168, 130, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 168, 176, 179]}, {\"cell\": \"ab32570\", \"bbox\": [200, 168, 232, 179]}, {\"cell\": \"p-Stat3\", \"bbox\": [3, 181, 30, 192]}, {\"cell\": \"1 : 1000 (WB)\", \"bbox\": [78, 181, 130, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 181, 171, 192]}, {\"cell\": \"9145\", \"bbox\": [206, 181, 225, 192]}, {\"cell\": \"ERK1/2\", \"bbox\": [3, 194, 33, 205]}, {\"cell\": \"1 : 1000 (WB)\", \"bbox\": [78, 194, 130, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 194, 171, 205]}, {\"cell\": \"4695\", \"bbox\": [206, 194, 225, 205]}, {\"cell\": \"p90 RSK (ser380)\", \"bbox\": [3, 207, 68, 218]}, {\"cell\": \"1 : 1000 (WB)\", \"bbox\": [78, 207, 130, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 207, 171, 218]}, {\"cell\": \"9341\", \"bbox\": [206, 207, 225, 218]}, {\"cell\": \"PI3K p85\", \"bbox\": [3, 220, 39, 231]}, {\"cell\": \"1 : 1000 (WB)\", \"bbox\": [78, 220, 130, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 220, 172, 231]}, {\"cell\": \"MAB2998\", \"bbox\": [196, 220, 235, 231]}, {\"cell\": \"GAPDH\", \"bbox\": [3, 233, 36, 244]}, {\"cell\": \"1 : 10,000 (WB)\", \"bbox\": [75, 233, 133, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 233, 176, 244]}, {\"cell\": \"ab8245\", \"bbox\": [202, 233, 230, 244]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5591999_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}124{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Synonym</b></td><td><b>Gene</b></td><td><b>Average mRNA levelMM139/WT</b></td><td><b>Annotation</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><i>smpB</i></td><td>3.13</td><td>SsrA-binding protein</td></tr><tr><td>[EMPTY_CELL]</td><td><i>guaD</i></td><td>2.78</td><td>guanine deaminase</td></tr><tr><td>[EMPTY_CELL]</td><td><i>yieP</i></td><td>2.94</td><td>predicted transcriptional regulator</td></tr><tr><td>[EMPTY_CELL]</td><td><i>nanR</i></td><td>2.41</td><td>transcriptional regulator NanR</td></tr><tr><td>[EMPTY_CELL]</td><td><i>hha</i></td><td>2.34</td><td>modulator of gene expression, with H-NS</td></tr><tr><td>[EMPTY_CELL]</td><td><i>ydgT</i></td><td>1.82</td><td>H-NS and StpA-binding protein</td></tr><tr><td>[EMPTY_CELL]</td><td><i>thrL</i></td><td>1.73</td><td>thr operon leader peptide</td></tr><tr><td>[EMPTY_CELL]</td><td><i>ygeR</i></td><td>1.72</td><td>transcriptional regulator</td></tr><tr><td>[EMPTY_CELL]</td><td><i>hisH</i></td><td>1.68</td><td>imidazole glycerol phosphate synthase subunit HisH</td></tr><tr><td>[EMPTY_CELL]</td><td><i>fold</i></td><td>1.67</td><td>bifunctional 5,10-methylene-tetrahydrofolate dehydrogenase/5,10-methylene-tetrahydrofolate cyclohydrolase</td></tr><tr><td>[EMPTY_CELL]</td><td><i>fruR</i></td><td>1.67</td><td>transcriptional dual regulator</td></tr><tr><td>[EMPTY_CELL]</td><td><i>mprA</i></td><td>1.67</td><td>transcriptional repressor of microcin B17 synthesis and multidrug efflux</td></tr><tr><td>[EMPTY_CELL]</td><td><i>mtr</i></td><td>1.66</td><td>tryptophan transporter of high affinity</td></tr><tr><td>[EMPTY_CELL]</td><td><i>yddM</i></td><td>1.66</td><td>predicted transcriptional regulator</td></tr><tr><td>[EMPTY_CELL]</td><td><i>dcuR</i></td><td>1.65</td><td>response regulator in two-component regulatory system</td></tr><tr><td>[EMPTY_CELL]</td><td><i>ytfH</i></td><td>1.64</td><td>predicted transcriptional regulator</td></tr><tr><td>[EMPTY_CELL]</td><td><i>polA</i></td><td>1.63</td><td>DNA polymerase I</td></tr><tr><td>[EMPTY_CELL]</td><td><i>trpR</i></td><td>1.63</td><td>Trp operon repressor</td></tr><tr><td>[EMPTY_CELL]</td><td><i>sstT</i></td><td>1.61</td><td>sodium:serine/threonine symporter</td></tr><tr><td>[EMPTY_CELL]</td><td><i>ychA</i></td><td>1.61</td><td>predicted transcriptional regulator</td></tr><tr><td>[EMPTY_CELL]</td><td><i>gntR</i></td><td>1.55</td><td>transcriptional repressor</td></tr><tr><td>[EMPTY_CELL]</td><td><i>allR</i></td><td>1.54</td><td>transcriptional repressor</td></tr><tr><td>[EMPTY_CELL]</td><td><i>slyA</i></td><td>1.52</td><td>transcriptional regulator SlyA</td></tr><tr><td>[EMPTY_CELL]</td><td><i>kdpD</i></td><td>1.51</td><td>fused sensory histidine kinase in two-component regulatory system with KdpE</td></tr><tr><td>[EMPTY_CELL]</td><td><i>yhiF</i></td><td>1.51</td><td>predicted transcriptional regulator</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Synonym</b>\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"<b>Gene</b>\", \"bbox\": [39, 4, 58, 13]}, {\"cell\": \"<b>Average mRNA levelMM139/WT</b>\", \"bbox\": [71, 4, 126, 31]}, {\"cell\": \"<b>Annotation</b>\", \"bbox\": [139, 4, 180, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 35, 28, 45]}, {\"cell\": \"<i>smpB</i>\", \"bbox\": [39, 35, 58, 45]}, {\"cell\": \"3.13\", \"bbox\": [91, 35, 106, 45]}, {\"cell\": \"SsrA-binding protein\", \"bbox\": [139, 35, 207, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 48, 28, 58]}, {\"cell\": \"<i>guaD</i>\", \"bbox\": [39, 48, 58, 58]}, {\"cell\": \"2.78\", \"bbox\": [91, 48, 106, 58]}, {\"cell\": \"guanine deaminase\", \"bbox\": [139, 48, 204, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 62, 28, 71]}, {\"cell\": \"<i>yieP</i>\", \"bbox\": [42, 62, 55, 71]}, {\"cell\": \"2.94\", \"bbox\": [91, 62, 106, 71]}, {\"cell\": \"predicted transcriptional regulator\", \"bbox\": [139, 62, 250, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 75, 28, 84]}, {\"cell\": \"<i>nanR</i>\", \"bbox\": [40, 75, 57, 84]}, {\"cell\": \"2.41\", \"bbox\": [91, 75, 106, 84]}, {\"cell\": \"transcriptional regulator NanR\", \"bbox\": [139, 75, 237, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 88, 28, 97]}, {\"cell\": \"<i>hha</i>\", \"bbox\": [41, 88, 56, 97]}, {\"cell\": \"2.34\", \"bbox\": [91, 88, 106, 97]}, {\"cell\": \"modulator of gene expression, with H-NS\", \"bbox\": [139, 88, 275, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 101, 28, 111]}, {\"cell\": \"<i>ydgT</i>\", \"bbox\": [40, 101, 57, 111]}, {\"cell\": \"1.82\", \"bbox\": [91, 101, 106, 111]}, {\"cell\": \"H-NS and StpA-binding protein\", \"bbox\": [139, 101, 242, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 114, 28, 124]}, {\"cell\": \"<i>thrL</i>\", \"bbox\": [42, 114, 55, 124]}, {\"cell\": \"1.73\", \"bbox\": [91, 114, 106, 124]}, {\"cell\": \"thr operon leader peptide\", \"bbox\": [139, 114, 225, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 128, 28, 137]}, {\"cell\": \"<i>ygeR</i>\", \"bbox\": [40, 128, 57, 137]}, {\"cell\": \"1.72\", \"bbox\": [91, 128, 106, 137]}, {\"cell\": \"transcriptional regulator\", \"bbox\": [139, 128, 217, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 141, 28, 150]}, {\"cell\": \"<i>hisH</i>\", \"bbox\": [41, 141, 56, 150]}, {\"cell\": \"1.68\", \"bbox\": [91, 141, 106, 150]}, {\"cell\": \"imidazole glycerol phosphate synthase subunit HisH\", \"bbox\": [139, 141, 309, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 154, 28, 163]}, {\"cell\": \"<i>fold</i>\", \"bbox\": [42, 154, 55, 163]}, {\"cell\": \"1.67\", \"bbox\": [91, 154, 106, 163]}, {\"cell\": \"bifunctional 5,10-methylene-tetrahydrofolate dehydrogenase/5,10-methylene-tetrahydrofolate cyclohydrolase\", \"bbox\": [139, 154, 440, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 176, 28, 186]}, {\"cell\": \"<i>fruR</i>\", \"bbox\": [41, 176, 56, 186]}, {\"cell\": \"1.67\", \"bbox\": [91, 176, 106, 186]}, {\"cell\": \"transcriptional dual regulator\", \"bbox\": [139, 176, 233, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 189, 28, 199]}, {\"cell\": \"<i>mprA</i>\", \"bbox\": [39, 189, 58, 199]}, {\"cell\": \"1.67\", \"bbox\": [91, 189, 106, 199]}, {\"cell\": \"transcriptional repressor of microcin B17 synthesis and multidrug efflux\", \"bbox\": [139, 189, 370, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 202, 28, 212]}, {\"cell\": \"<i>mtr</i>\", \"bbox\": [42, 202, 55, 212]}, {\"cell\": \"1.66\", \"bbox\": [91, 202, 106, 212]}, {\"cell\": \"tryptophan transporter of high affinity\", \"bbox\": [139, 202, 263, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 216, 28, 225]}, {\"cell\": \"<i>yddM</i>\", \"bbox\": [39, 216, 58, 225]}, {\"cell\": \"1.66\", \"bbox\": [91, 216, 106, 225]}, {\"cell\": \"predicted transcriptional regulator\", \"bbox\": [139, 216, 250, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 229, 28, 238]}, {\"cell\": \"<i>dcuR</i>\", \"bbox\": [40, 229, 57, 238]}, {\"cell\": \"1.65\", \"bbox\": [91, 229, 106, 238]}, {\"cell\": \"response regulator in two-component regulatory system\", \"bbox\": [139, 229, 323, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 242, 28, 252]}, {\"cell\": \"<i>ytfH</i>\", \"bbox\": [41, 242, 56, 252]}, {\"cell\": \"1.64\", \"bbox\": [91, 242, 106, 252]}, {\"cell\": \"predicted transcriptional regulator\", \"bbox\": [139, 242, 250, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 255, 28, 265]}, {\"cell\": \"<i>polA</i>\", \"bbox\": [41, 255, 56, 265]}, {\"cell\": \"1.63\", \"bbox\": [91, 255, 106, 265]}, {\"cell\": \"DNA polymerase I\", \"bbox\": [139, 255, 199, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 269, 28, 278]}, {\"cell\": \"<i>trpR</i>\", \"bbox\": [41, 269, 56, 278]}, {\"cell\": \"1.63\", \"bbox\": [91, 269, 106, 278]}, {\"cell\": \"Trp operon repressor\", \"bbox\": [139, 269, 208, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 282, 28, 291]}, {\"cell\": \"<i>sstT</i>\", \"bbox\": [42, 282, 55, 291]}, {\"cell\": \"1.61\", \"bbox\": [91, 282, 106, 291]}, {\"cell\": \"sodium:serine/threonine symporter\", \"bbox\": [139, 282, 253, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 295, 28, 304]}, {\"cell\": \"<i>ychA</i>\", \"bbox\": [40, 295, 57, 304]}, {\"cell\": \"1.61\", \"bbox\": [91, 295, 106, 304]}, {\"cell\": \"predicted transcriptional regulator\", \"bbox\": [139, 295, 250, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 308, 28, 318]}, {\"cell\": \"<i>gntR</i>\", \"bbox\": [40, 308, 57, 318]}, {\"cell\": \"1.55\", \"bbox\": [91, 308, 106, 318]}, {\"cell\": \"transcriptional repressor\", \"bbox\": [139, 308, 217, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 321, 28, 331]}, {\"cell\": \"<i>allR</i>\", \"bbox\": [42, 321, 55, 331]}, {\"cell\": \"1.54\", \"bbox\": [91, 321, 106, 331]}, {\"cell\": \"transcriptional repressor\", \"bbox\": [139, 321, 217, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 335, 28, 344]}, {\"cell\": \"<i>slyA</i>\", \"bbox\": [42, 335, 55, 344]}, {\"cell\": \"1.52\", \"bbox\": [91, 335, 106, 344]}, {\"cell\": \"transcriptional regulator SlyA\", \"bbox\": [139, 335, 233, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 348, 28, 357]}, {\"cell\": \"<i>kdpD</i>\", \"bbox\": [39, 348, 58, 357]}, {\"cell\": \"1.51\", \"bbox\": [91, 348, 106, 357]}, {\"cell\": \"fused sensory histidine kinase in two-component regulatory system with KdpE\", \"bbox\": [139, 348, 394, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 361, 28, 370]}, {\"cell\": \"<i>yhiF</i>\", \"bbox\": [41, 361, 56, 370]}, {\"cell\": \"1.51\", \"bbox\": [91, 361, 106, 370]}, {\"cell\": \"predicted transcriptional regulator\", \"bbox\": [139, 361, 250, 370]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2848244_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}125{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Element</b></td><td><b>Reference Concentration</b></td><td colspan=\\\"4\\\"><b><i>EF</i></b></td><td colspan=\\\"4\\\"><b><i>I<sub>geo</sub></i></b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>(mg/kg) [18]</b></td><td><b>Min</b></td><td><b>Max</b></td><td><b>Mean</b></td><td><b>Category</b></td><td><b>Min</b></td><td><b>Max</b></td><td><b>Mean</b></td><td><b>Category</b></td></tr></thead><tbody><tr><td colspan=\\\"10\\\">ICP-MS (<i>n</i> = 13)</td></tr><tr><td>Pb</td><td>60</td><td>0.59</td><td>639</td><td>[EMPTY_CELL]</td><td>extr. high</td><td>−1.30</td><td>8.78</td><td>5.95</td><td>extreme poll</td></tr><tr><td>Ni</td><td>95</td><td>0.56</td><td>1.26</td><td>[EMPTY_CELL]</td><td>minimal</td><td>−1.36</td><td>−0.20</td><td>−0.65</td><td>unpolluted</td></tr><tr><td>Zn</td><td>104</td><td>0.48</td><td>1.41</td><td>[EMPTY_CELL]</td><td>minimal</td><td>−1.58</td><td>−0.04</td><td>−1.15</td><td>unpolluted</td></tr><tr><td colspan=\\\"10\\\">XRF (<i>n</i> = 91)</td></tr><tr><td>Pb</td><td>60</td><td>0.20</td><td>400</td><td>[EMPTY_CELL]</td><td>very high</td><td>−2.85</td><td>8.11</td><td>4.50</td><td>heavy/extreme</td></tr><tr><td>Ni</td><td>95</td><td>0.57</td><td>2.66</td><td>[EMPTY_CELL]</td><td>minimal</td><td>−1.34</td><td>0.87</td><td>−0.03</td><td>unpolluted</td></tr><tr><td>Zn</td><td>104</td><td>0.46</td><td>6.66</td><td>[EMPTY_CELL]</td><td>minimal</td><td>−1.67</td><td>2.20</td><td>−0.85</td><td>unpolluted</td></tr><tr><td colspan=\\\"10\\\">HYBRID (<i>n</i> = 91)</td></tr><tr><td>Pb</td><td>60</td><td>0.71</td><td>1402</td><td>[EMPTY_CELL]</td><td>extr. high</td><td>−1.04</td><td>9.92</td><td>6.31</td><td>extreme poll</td></tr><tr><td>Ni</td><td>95</td><td>0.38</td><td>1.76</td><td>[EMPTY_CELL]</td><td>minimal</td><td>−1.94</td><td>0.28</td><td>−0.63</td><td>unpolluted</td></tr><tr><td>Zn</td><td>104</td><td>0.39</td><td>5.77</td><td>[EMPTY_CELL]</td><td>minimal</td><td>−1.88</td><td>1.99</td><td>−1.06</td><td>unpolluted</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Element</b>\", \"bbox\": [8, 9, 40, 19]}, {\"cell\": \"<b>Reference Concentration</b>\", \"bbox\": [48, 4, 102, 24]}, {\"cell\": \"<b><i>EF</i></b>\", \"bbox\": [170, 10, 181, 19]}, {\"cell\": \"<b><i>I<sub>geo</sub></i></b>\", \"bbox\": [324, 10, 339, 20]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>(mg/kg) [18]</b>\", \"bbox\": [50, 28, 96, 38]}, {\"cell\": \"<b>Min</b>\", \"bbox\": [110, 28, 128, 38]}, {\"cell\": \"<b>Max</b>\", \"bbox\": [143, 28, 162, 38]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [174, 28, 197, 38]}, {\"cell\": \"<b>Category</b>\", \"bbox\": [208, 28, 243, 38]}, {\"cell\": \"<b>Min</b>\", \"bbox\": [257, 28, 274, 38]}, {\"cell\": \"<b>Max</b>\", \"bbox\": [290, 28, 308, 38]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [324, 28, 347, 38]}, {\"cell\": \"<b>Category</b>\", \"bbox\": [367, 28, 402, 38]}, {\"cell\": \"ICP-MS (<i>n</i> = 13)\", \"bbox\": [8, 43, 67, 53]}, {\"cell\": \"Pb\", \"bbox\": [18, 57, 29, 67]}, {\"cell\": \"60\", \"bbox\": [68, 57, 78, 67]}, {\"cell\": \"0.59\", \"bbox\": [111, 57, 127, 67]}, {\"cell\": \"639\", \"bbox\": [145, 57, 160, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 57, 191, 67]}, {\"cell\": \"extr. high\", \"bbox\": [208, 57, 244, 67]}, {\"cell\": \"−1.30\", \"bbox\": [254, 53, 277, 67]}, {\"cell\": \"8.78\", \"bbox\": [291, 57, 307, 67]}, {\"cell\": \"5.95\", \"bbox\": [327, 57, 343, 67]}, {\"cell\": \"extreme poll\", \"bbox\": [362, 57, 408, 67]}, {\"cell\": \"Ni\", \"bbox\": [18, 67, 29, 77]}, {\"cell\": \"95\", \"bbox\": [68, 67, 78, 77]}, {\"cell\": \"0.56\", \"bbox\": [111, 67, 127, 77]}, {\"cell\": \"1.26\", \"bbox\": [144, 67, 161, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 67, 194, 77]}, {\"cell\": \"minimal\", \"bbox\": [210, 67, 242, 77]}, {\"cell\": \"−1.36\", \"bbox\": [254, 64, 277, 77]}, {\"cell\": \"−0.20\", \"bbox\": [287, 64, 310, 77]}, {\"cell\": \"−0.65\", \"bbox\": [324, 64, 347, 77]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 67, 406, 77]}, {\"cell\": \"Zn\", \"bbox\": [17, 77, 29, 87]}, {\"cell\": \"104\", \"bbox\": [66, 77, 80, 87]}, {\"cell\": \"0.48\", \"bbox\": [111, 77, 127, 87]}, {\"cell\": \"1.41\", \"bbox\": [144, 77, 161, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 77, 194, 87]}, {\"cell\": \"minimal\", \"bbox\": [210, 77, 242, 87]}, {\"cell\": \"−1.58\", \"bbox\": [254, 76, 277, 88]}, {\"cell\": \"−0.04\", \"bbox\": [287, 76, 310, 88]}, {\"cell\": \"−1.15\", \"bbox\": [324, 76, 347, 88]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 77, 406, 87]}, {\"cell\": \"XRF (<i>n</i> = 91)\", \"bbox\": [8, 91, 54, 101]}, {\"cell\": \"Pb\", \"bbox\": [18, 105, 29, 115]}, {\"cell\": \"60\", \"bbox\": [68, 105, 78, 115]}, {\"cell\": \"0.20\", \"bbox\": [111, 105, 127, 115]}, {\"cell\": \"400\", \"bbox\": [145, 105, 160, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 105, 191, 115]}, {\"cell\": \"very high\", \"bbox\": [207, 105, 244, 115]}, {\"cell\": \"−2.85\", \"bbox\": [254, 101, 277, 115]}, {\"cell\": \"8.11\", \"bbox\": [291, 105, 307, 115]}, {\"cell\": \"4.50\", \"bbox\": [327, 105, 343, 115]}, {\"cell\": \"heavy/extreme\", \"bbox\": [360, 105, 416, 115]}, {\"cell\": \"Ni\", \"bbox\": [18, 115, 29, 125]}, {\"cell\": \"95\", \"bbox\": [68, 115, 78, 125]}, {\"cell\": \"0.57\", \"bbox\": [111, 115, 127, 125]}, {\"cell\": \"2.66\", \"bbox\": [144, 115, 161, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 115, 194, 125]}, {\"cell\": \"minimal\", \"bbox\": [210, 115, 242, 125]}, {\"cell\": \"−1.34\", \"bbox\": [254, 113, 277, 125]}, {\"cell\": \"0.87\", \"bbox\": [291, 115, 307, 125]}, {\"cell\": \"−0.03\", \"bbox\": [324, 113, 347, 125]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 115, 406, 125]}, {\"cell\": \"Zn\", \"bbox\": [17, 125, 29, 135]}, {\"cell\": \"104\", \"bbox\": [66, 125, 80, 135]}, {\"cell\": \"0.46\", \"bbox\": [111, 125, 127, 135]}, {\"cell\": \"6.66\", \"bbox\": [144, 125, 161, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 125, 194, 135]}, {\"cell\": \"minimal\", \"bbox\": [210, 125, 242, 135]}, {\"cell\": \"−1.67\", \"bbox\": [254, 125, 277, 137]}, {\"cell\": \"2.20\", \"bbox\": [291, 125, 307, 135]}, {\"cell\": \"−0.85\", \"bbox\": [324, 125, 347, 137]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 125, 406, 135]}, {\"cell\": \"HYBRID (<i>n</i> = 91)\", \"bbox\": [8, 139, 70, 149]}, {\"cell\": \"Pb\", \"bbox\": [18, 153, 29, 164]}, {\"cell\": \"60\", \"bbox\": [68, 153, 78, 164]}, {\"cell\": \"0.71\", \"bbox\": [111, 153, 127, 164]}, {\"cell\": \"1402\", \"bbox\": [143, 153, 162, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 153, 193, 164]}, {\"cell\": \"extr. high\", \"bbox\": [208, 153, 244, 164]}, {\"cell\": \"−1.04\", \"bbox\": [254, 149, 277, 164]}, {\"cell\": \"9.92\", \"bbox\": [291, 153, 307, 164]}, {\"cell\": \"6.31\", \"bbox\": [327, 153, 343, 164]}, {\"cell\": \"extreme poll\", \"bbox\": [362, 153, 408, 164]}, {\"cell\": \"Ni\", \"bbox\": [18, 163, 29, 174]}, {\"cell\": \"95\", \"bbox\": [68, 163, 78, 174]}, {\"cell\": \"0.38\", \"bbox\": [111, 163, 127, 174]}, {\"cell\": \"1.76\", \"bbox\": [144, 163, 161, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 163, 194, 174]}, {\"cell\": \"minimal\", \"bbox\": [210, 163, 242, 174]}, {\"cell\": \"−1.94\", \"bbox\": [254, 161, 277, 174]}, {\"cell\": \"0.28\", \"bbox\": [291, 163, 307, 174]}, {\"cell\": \"−0.63\", \"bbox\": [324, 161, 347, 174]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 163, 406, 174]}, {\"cell\": \"Zn\", \"bbox\": [17, 173, 29, 183]}, {\"cell\": \"104\", \"bbox\": [66, 173, 80, 183]}, {\"cell\": \"0.39\", \"bbox\": [111, 173, 127, 183]}, {\"cell\": \"5.77\", \"bbox\": [144, 173, 161, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 173, 194, 183]}, {\"cell\": \"minimal\", \"bbox\": [210, 173, 242, 183]}, {\"cell\": \"−1.88\", \"bbox\": [254, 173, 277, 185]}, {\"cell\": \"1.99\", \"bbox\": [291, 173, 307, 183]}, {\"cell\": \"−1.06\", \"bbox\": [324, 173, 347, 185]}, {\"cell\": \"unpolluted\", \"bbox\": [364, 173, 406, 183]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5551136_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}126{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variables</b></td><td colspan=\\\"3\\\"><b>Patients with osteoporosis</b></td><td colspan=\\\"3\\\"><b>Patients without osteoporosis</b></td><td colspan=\\\"2\\\"><b>Compared to non- osteoporosis</b></td></tr><tr><td><b>Migraine</b></td><td><b>PYs</b></td><td><b>Rate</b></td><td><b>Migraine</b></td><td><b>PYs</b></td><td><b>Rate</b></td><td><b>CrudeHR<sup>a</sup> (95 % CI)</b></td><td><b>Adjusted HR<sup>a</sup> (95 % CI)</b></td></tr></thead><tbody><tr><td>Overall</td><td>1110</td><td>324,126.20</td><td>[EMPTY_CELL]</td><td>751</td><td>604,550.99</td><td>1.24</td><td>2.48 (2.25–2.73)<sup>c</sup></td><td>1.37 (1.23–1.51)<sup>c</sup></td></tr><tr><td>Gender</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Men</td><td>104</td><td>45,604.93</td><td>[EMPTY_CELL]</td><td>78</td><td>106,313.43</td><td>0.73</td><td>2.80 (2.04–3.85)<sup>c</sup></td><td>1.66 (1.19–2.31)<sup>d</sup></td></tr><tr><td> Women</td><td>1006</td><td>278,521.27</td><td>[EMPTY_CELL]</td><td>573</td><td>498,237.56</td><td>1.35</td><td>2.39 (2.17–2.66)<sup>c</sup></td><td>1.34 (1.19–1.49)<sup>c</sup></td></tr><tr><td>Stratify by age</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 20–49</td><td>252</td><td>64,474.34</td><td>[EMPTY_CELL]</td><td>130</td><td>109,506.02</td><td>1.19</td><td>2.97 (2.39–3.68)<sup>c</sup></td><td>1.46 (1.17–1.82)<sup>c</sup></td></tr><tr><td> ≥50</td><td>858</td><td>259,651.83</td><td>[EMPTY_CELL]</td><td>621</td><td>495,044.97</td><td>1.25</td><td>2.37 (2.12–2.64)<sup>c</sup></td><td>1.34 (1.20–1.50)<sup>c</sup></td></tr><tr><td>Comorbidity<sup>b</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>19</td><td>20,949.87</td><td>[EMPTY_CELL]</td><td>43</td><td>127,923.68</td><td>0.34</td><td>2.41 (1.40–4.14)<sup>e</sup></td><td>1.78 (1.03–3.06)<sup>f</sup></td></tr><tr><td> Yes</td><td>1091</td><td>303,176.33</td><td>[EMPTY_CELL]</td><td>708</td><td>476,627.31</td><td>1.49</td><td>2.18 (1.97–2.41)<sup>c</sup></td><td>1.34 (1.22–1.49)<sup>c</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 34, 14]}, {\"cell\": \"<b>Patients with osteoporosis</b>\", \"bbox\": [63, 4, 156, 14]}, {\"cell\": \"<b>Patients without osteoporosis</b>\", \"bbox\": [197, 4, 302, 14]}, {\"cell\": \"<b>Compared to non- osteoporosis</b>\", \"bbox\": [330, 4, 441, 14]}, {\"cell\": \"<b>Migraine</b>\", \"bbox\": [63, 20, 96, 30]}, {\"cell\": \"<b>PYs</b>\", \"bbox\": [112, 20, 126, 30]}, {\"cell\": \"<b>Rate</b>\", \"bbox\": [163, 20, 181, 30]}, {\"cell\": \"<b>Migraine</b>\", \"bbox\": [197, 20, 229, 30]}, {\"cell\": \"<b>PYs</b>\", \"bbox\": [245, 20, 259, 30]}, {\"cell\": \"<b>Rate</b>\", \"bbox\": [297, 20, 314, 30]}, {\"cell\": \"<b>CrudeHR<sup>a</sup> (95 % CI)</b>\", \"bbox\": [330, 19, 397, 30]}, {\"cell\": \"<b>Adjusted HR<sup>a</sup> (95 % CI)</b>\", \"bbox\": [413, 19, 482, 39]}, {\"cell\": \"Overall\", \"bbox\": [0, 47, 25, 57]}, {\"cell\": \"1110\", \"bbox\": [63, 47, 81, 57]}, {\"cell\": \"324,126.20\", \"bbox\": [112, 47, 148, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 47, 178, 57]}, {\"cell\": \"751\", \"bbox\": [196, 47, 210, 57]}, {\"cell\": \"604,550.99\", \"bbox\": [245, 47, 281, 57]}, {\"cell\": \"1.24\", \"bbox\": [297, 47, 312, 57]}, {\"cell\": \"2.48 (2.25–2.73)<sup>c</sup>\", \"bbox\": [330, 46, 384, 57]}, {\"cell\": \"1.37 (1.23–1.51)<sup>c</sup>\", \"bbox\": [413, 46, 467, 57]}, {\"cell\": \"Gender\", \"bbox\": [1, 59, 26, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Men\", \"bbox\": [5, 71, 22, 81]}, {\"cell\": \"104\", \"bbox\": [67, 71, 81, 81]}, {\"cell\": \"45,604.93\", \"bbox\": [116, 71, 148, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 71, 178, 81]}, {\"cell\": \"78\", \"bbox\": [200, 71, 210, 81]}, {\"cell\": \"106,313.43\", \"bbox\": [245, 71, 281, 81]}, {\"cell\": \"0.73\", \"bbox\": [297, 71, 312, 81]}, {\"cell\": \"2.80 (2.04–3.85)<sup>c</sup>\", \"bbox\": [330, 70, 384, 81]}, {\"cell\": \"1.66 (1.19–2.31)<sup>d</sup>\", \"bbox\": [413, 70, 467, 81]}, {\"cell\": \" Women\", \"bbox\": [5, 83, 32, 93]}, {\"cell\": \"1006\", \"bbox\": [63, 83, 81, 93]}, {\"cell\": \"278,521.27\", \"bbox\": [112, 83, 148, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 83, 178, 93]}, {\"cell\": \"573\", \"bbox\": [197, 83, 210, 93]}, {\"cell\": \"498,237.56\", \"bbox\": [245, 83, 281, 93]}, {\"cell\": \"1.35\", \"bbox\": [297, 83, 312, 93]}, {\"cell\": \"2.39 (2.17–2.66)<sup>c</sup>\", \"bbox\": [330, 82, 384, 93]}, {\"cell\": \"1.34 (1.19–1.49)<sup>c</sup>\", \"bbox\": [413, 82, 467, 93]}, {\"cell\": \"Stratify by age\", \"bbox\": [1, 96, 48, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 20–49\", \"bbox\": [5, 108, 27, 117]}, {\"cell\": \"252\", \"bbox\": [67, 108, 81, 117]}, {\"cell\": \"64,474.34\", \"bbox\": [116, 108, 148, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 108, 178, 117]}, {\"cell\": \"130\", \"bbox\": [197, 108, 210, 117]}, {\"cell\": \"109,506.02\", \"bbox\": [245, 108, 281, 117]}, {\"cell\": \"1.19\", \"bbox\": [297, 108, 312, 117]}, {\"cell\": \"2.97 (2.39–3.68)<sup>c</sup>\", \"bbox\": [330, 106, 384, 117]}, {\"cell\": \"1.46 (1.17–1.82)<sup>c</sup>\", \"bbox\": [413, 106, 467, 117]}, {\"cell\": \" ≥50\", \"bbox\": [5, 120, 21, 129]}, {\"cell\": \"858\", \"bbox\": [67, 120, 81, 129]}, {\"cell\": \"259,651.83\", \"bbox\": [112, 120, 148, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 120, 178, 129]}, {\"cell\": \"621\", \"bbox\": [197, 120, 210, 129]}, {\"cell\": \"495,044.97\", \"bbox\": [245, 120, 281, 129]}, {\"cell\": \"1.25\", \"bbox\": [297, 120, 312, 129]}, {\"cell\": \"2.37 (2.12–2.64)<sup>c</sup>\", \"bbox\": [330, 118, 384, 129]}, {\"cell\": \"1.34 (1.20–1.50)<sup>c</sup>\", \"bbox\": [413, 118, 467, 129]}, {\"cell\": \"Comorbidity<sup>b</sup>\", \"bbox\": [1, 130, 46, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [5, 144, 17, 153]}, {\"cell\": \"19\", \"bbox\": [71, 144, 81, 153]}, {\"cell\": \"20,949.87\", \"bbox\": [116, 144, 148, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 144, 178, 153]}, {\"cell\": \"43\", \"bbox\": [200, 144, 210, 153]}, {\"cell\": \"127,923.68\", \"bbox\": [245, 144, 281, 153]}, {\"cell\": \"0.34\", \"bbox\": [297, 144, 312, 153]}, {\"cell\": \"2.41 (1.40–4.14)<sup>e</sup>\", \"bbox\": [330, 142, 384, 153]}, {\"cell\": \"1.78 (1.03–3.06)<sup>f</sup>\", \"bbox\": [413, 142, 466, 153]}, {\"cell\": \" Yes\", \"bbox\": [5, 156, 17, 166]}, {\"cell\": \"1091\", \"bbox\": [63, 156, 81, 166]}, {\"cell\": \"303,176.33\", \"bbox\": [112, 156, 148, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 156, 178, 166]}, {\"cell\": \"708\", \"bbox\": [197, 156, 210, 166]}, {\"cell\": \"476,627.31\", \"bbox\": [245, 156, 281, 166]}, {\"cell\": \"1.49\", \"bbox\": [297, 156, 312, 166]}, {\"cell\": \"2.18 (1.97–2.41)<sup>c</sup>\", \"bbox\": [330, 155, 384, 166]}, {\"cell\": \"1.34 (1.22–1.49)<sup>c</sup>\", \"bbox\": [413, 155, 467, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4993742_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}127{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Indicator</b></td><td><b>Type of indicator</b></td></tr></thead><tbody><tr><td>1. ANC utilisation</td><td>[EMPTY_CELL]</td></tr><tr><td>Received at least three ANC visits (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Received ANC visit in first trimester (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of ANC consultations (visits)</td><td>[EMPTY_CELL]</td></tr><tr><td>Received visit from ASHA during pregnancy (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>2. ANC content of care</td><td>[EMPTY_CELL]</td></tr><tr><td>Fully immunised with tetanus toxoid (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Received iron supplementation during pregnancy (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Took iron supplementation during pregnancy for at least 100 days (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Received test results for syphilis received (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Abdominal examination during ANC (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Received a drug for intestinal worms during pregnancy (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Received a drug to prevent malaria (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Multiple birth pregnancy detected during ANC (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>ANC content of care score of six items (index 0 to 1)</td><td>[EMPTY_CELL]</td></tr><tr><td>3. ANC knowledge and preparedness</td><td>[EMPTY_CELL]</td></tr><tr><td>Mother knowledge of pregnancy complications (index 0 to 1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Mother knowledge of signs of delivery complications (index 0 to 1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Birth preparedness (financial, transport, blood donor, attendant, safe delivery kit) (index 0 to 1)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Indicator</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>Type of indicator</b>\", \"bbox\": [174, 4, 231, 13]}, {\"cell\": \"1. ANC utilisation\", \"bbox\": [1, 17, 57, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Received at least three ANC visits (%)\", \"bbox\": [1, 31, 122, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 31, 232, 41]}, {\"cell\": \"Received ANC visit in first trimester (%)\", \"bbox\": [1, 45, 127, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 45, 232, 55]}, {\"cell\": \"Number of ANC consultations (visits)\", \"bbox\": [1, 59, 120, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 59, 232, 69]}, {\"cell\": \"Received visit from ASHA during pregnancy (%)\", \"bbox\": [1, 73, 155, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 73, 232, 83]}, {\"cell\": \"2. ANC content of care\", \"bbox\": [1, 87, 76, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fully immunised with tetanus toxoid (%)\", \"bbox\": [1, 101, 133, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 101, 224, 111]}, {\"cell\": \"Received iron supplementation during pregnancy (%)\", \"bbox\": [1, 115, 126, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 115, 224, 125]}, {\"cell\": \"Took iron supplementation during pregnancy for at least 100 days (%)\", \"bbox\": [1, 138, 149, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 138, 224, 148]}, {\"cell\": \"Received test results for syphilis received (%)\", \"bbox\": [1, 161, 145, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 161, 224, 171]}, {\"cell\": \"Abdominal examination during ANC (%)\", \"bbox\": [1, 175, 132, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 175, 224, 185]}, {\"cell\": \"Received a drug for intestinal worms during pregnancy (%)\", \"bbox\": [1, 189, 144, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 189, 224, 199]}, {\"cell\": \"Received a drug to prevent malaria (%)\", \"bbox\": [1, 212, 128, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 212, 224, 222]}, {\"cell\": \"Multiple birth pregnancy detected during ANC (%)\", \"bbox\": [1, 226, 165, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 226, 224, 236]}, {\"cell\": \"ANC content of care score of six items (index 0 to 1)\", \"bbox\": [1, 240, 126, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 240, 224, 250]}, {\"cell\": \"3. ANC knowledge and preparedness\", \"bbox\": [1, 263, 122, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mother knowledge of pregnancy complications (index 0 to 1)\", \"bbox\": [1, 277, 155, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 277, 236, 287]}, {\"cell\": \"Mother knowledge of signs of delivery complications (index 0 to 1)\", \"bbox\": [1, 300, 127, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 300, 236, 310]}, {\"cell\": \"Birth preparedness (financial, transport, blood donor, attendant, safe delivery kit) (index 0 to 1)\", \"bbox\": [1, 323, 157, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 323, 235, 333]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4448271_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}128{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Genome<sup>a</sup></b></td><td><b>TCS genes</b></td><td><b>Non-hybrid HKs</b></td><td><b>Hybrid HKs</b></td><td><b>PPs</b></td><td><b>RRs</b></td><td><b>% hybrid HKs</b></td><td><b>% TM HKs</b></td><td><b>% orphan</b></td><td><b>% paired</b></td><td><b>% complex</b></td><td><b>Intricate foci</b></td></tr></thead><tbody><tr><td><i>Mx</i></td><td>282</td><td>103</td><td>37</td><td>5</td><td>137</td><td>26.4</td><td>47</td><td>35</td><td>[EMPTY_CELL]</td><td>30</td><td>8</td></tr><tr><td><i>Mf</i></td><td>288</td><td>98</td><td>49</td><td>3</td><td>138</td><td>33.3</td><td>41</td><td>34</td><td>[EMPTY_CELL]</td><td>33</td><td>9</td></tr><tr><td><i>Cc</i></td><td>306</td><td>106</td><td>56</td><td>2</td><td>142</td><td>34.6</td><td>38</td><td>34</td><td>[EMPTY_CELL]</td><td>31</td><td>8</td></tr><tr><td><i>Sa</i></td><td>338</td><td>124</td><td>70</td><td>4</td><td>142</td><td>36.1</td><td>40</td><td>34</td><td>[EMPTY_CELL]</td><td>32</td><td>9</td></tr><tr><td><i>AdC</i></td><td>188</td><td>68</td><td>17</td><td>1</td><td>102</td><td>20.2</td><td>48</td><td>43</td><td>[EMPTY_CELL]</td><td>22</td><td>2</td></tr><tr><td><i>Ad1</i></td><td>187</td><td>69</td><td>19</td><td>1</td><td>98</td><td>21.6</td><td>50</td><td>40</td><td>[EMPTY_CELL]</td><td>26</td><td>2</td></tr><tr><td><i>AF</i></td><td>207</td><td>72</td><td>35</td><td>0</td><td>100</td><td>33.3</td><td>50</td><td>28</td><td>[EMPTY_CELL]</td><td>39</td><td>5</td></tr><tr><td><i>AK</i></td><td>191</td><td>72</td><td>18</td><td>0</td><td>101</td><td>20.0</td><td>49</td><td>41</td><td>[EMPTY_CELL]</td><td>24</td><td>2</td></tr><tr><td><i>Sc</i></td><td>273</td><td>101</td><td>50</td><td>1</td><td>121</td><td>33.1</td><td>41</td><td>37</td><td>[EMPTY_CELL]</td><td>37</td><td>9</td></tr><tr><td><i>Ca</i></td><td>301</td><td>109</td><td>50</td><td>2</td><td>140</td><td>31.4</td><td>45</td><td>N/A</td><td>[EMPTY_CELL]</td><td>N/A</td><td>N/A</td></tr><tr><td><i>Ho</i></td><td>191</td><td>53</td><td>51</td><td>3</td><td>84</td><td>49.0</td><td>35</td><td>35</td><td>[EMPTY_CELL]</td><td>27</td><td>5</td></tr><tr><td><i>Pp</i></td><td>160</td><td>60</td><td>26</td><td>5</td><td>69</td><td>30.2</td><td>42</td><td>N/A</td><td>[EMPTY_CELL]</td><td>N/A</td><td>N/A</td></tr><tr><td>Myxobacterial mean:</td><td>242.7</td><td>86</td><td>39.8</td><td>2.3</td><td>114.5</td><td>30.8</td><td>44</td><td>36</td><td>[EMPTY_CELL]</td><td>30</td><td>5.9</td></tr><tr><td><i>Bn</i></td><td>92</td><td>32</td><td>16</td><td>2</td><td>42</td><td>33.3</td><td>73</td><td>37</td><td>[EMPTY_CELL]</td><td>18</td><td>4</td></tr><tr><td>Bacterial mean:<sup>b</sup></td><td>31</td><td>14.8</td><td>3.3</td><td>0.6</td><td>15.6</td><td>18.2</td><td>63.5</td><td>46</td><td>[EMPTY_CELL]</td><td>14</td><td>0.3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Genome<sup>a</sup></b>\", \"bbox\": [1, 2, 33, 13]}, {\"cell\": \"<b>TCS genes</b>\", \"bbox\": [59, 4, 94, 13]}, {\"cell\": \"<b>Non-hybrid HKs</b>\", \"bbox\": [99, 4, 151, 13]}, {\"cell\": \"<b>Hybrid HKs</b>\", \"bbox\": [156, 4, 193, 13]}, {\"cell\": \"<b>PPs</b>\", \"bbox\": [198, 4, 211, 13]}, {\"cell\": \"<b>RRs</b>\", \"bbox\": [216, 4, 229, 13]}, {\"cell\": \"<b>% hybrid HKs</b>\", \"bbox\": [239, 4, 284, 13]}, {\"cell\": \"<b>% TM HKs</b>\", \"bbox\": [289, 4, 323, 13]}, {\"cell\": \"<b>% orphan</b>\", \"bbox\": [328, 4, 361, 13]}, {\"cell\": \"<b>% paired</b>\", \"bbox\": [366, 4, 396, 13]}, {\"cell\": \"<b>% complex</b>\", \"bbox\": [401, 4, 438, 13]}, {\"cell\": \"<b>Intricate foci</b>\", \"bbox\": [443, 4, 484, 13]}, {\"cell\": \"<i>Mx</i>\", \"bbox\": [1, 17, 12, 26]}, {\"cell\": \"282\", \"bbox\": [67, 17, 81, 27]}, {\"cell\": \"103\", \"bbox\": [116, 17, 129, 27]}, {\"cell\": \"37\", \"bbox\": [167, 17, 177, 27]}, {\"cell\": \"5\", \"bbox\": [199, 17, 205, 27]}, {\"cell\": \"137\", \"bbox\": [216, 17, 229, 27]}, {\"cell\": \"26.4\", \"bbox\": [254, 17, 269, 27]}, {\"cell\": \"47\", \"bbox\": [298, 17, 308, 27]}, {\"cell\": \"35\", \"bbox\": [328, 17, 337, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 17, 375, 27]}, {\"cell\": \"30\", \"bbox\": [401, 17, 410, 27]}, {\"cell\": \"8\", \"bbox\": [443, 17, 449, 27]}, {\"cell\": \"<i>Mf</i>\", \"bbox\": [1, 31, 10, 40]}, {\"cell\": \"288\", \"bbox\": [67, 31, 81, 41]}, {\"cell\": \"98\", \"bbox\": [120, 31, 129, 41]}, {\"cell\": \"49\", \"bbox\": [167, 31, 177, 41]}, {\"cell\": \"3\", \"bbox\": [199, 31, 205, 41]}, {\"cell\": \"138\", \"bbox\": [216, 31, 229, 41]}, {\"cell\": \"33.3\", \"bbox\": [254, 31, 269, 41]}, {\"cell\": \"41\", \"bbox\": [298, 31, 308, 41]}, {\"cell\": \"34\", \"bbox\": [328, 31, 337, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 31, 375, 41]}, {\"cell\": \"33\", \"bbox\": [401, 31, 410, 41]}, {\"cell\": \"9\", \"bbox\": [443, 31, 449, 41]}, {\"cell\": \"<i>Cc</i>\", \"bbox\": [1, 45, 10, 54]}, {\"cell\": \"306\", \"bbox\": [67, 45, 81, 55]}, {\"cell\": \"106\", \"bbox\": [116, 45, 129, 55]}, {\"cell\": \"56\", \"bbox\": [167, 45, 177, 55]}, {\"cell\": \"2\", \"bbox\": [199, 45, 205, 55]}, {\"cell\": \"142\", \"bbox\": [216, 45, 229, 55]}, {\"cell\": \"34.6\", \"bbox\": [254, 45, 269, 55]}, {\"cell\": \"38\", \"bbox\": [298, 45, 308, 55]}, {\"cell\": \"34\", \"bbox\": [328, 45, 337, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 45, 375, 55]}, {\"cell\": \"31\", \"bbox\": [401, 45, 410, 55]}, {\"cell\": \"8\", \"bbox\": [443, 45, 449, 55]}, {\"cell\": \"<i>Sa</i>\", \"bbox\": [1, 59, 10, 68]}, {\"cell\": \"338\", \"bbox\": [67, 59, 81, 69]}, {\"cell\": \"124\", \"bbox\": [116, 59, 129, 69]}, {\"cell\": \"70\", \"bbox\": [167, 59, 177, 69]}, {\"cell\": \"4\", \"bbox\": [199, 59, 205, 69]}, {\"cell\": \"142\", \"bbox\": [216, 59, 229, 69]}, {\"cell\": \"36.1\", \"bbox\": [254, 59, 269, 69]}, {\"cell\": \"40\", \"bbox\": [298, 59, 308, 69]}, {\"cell\": \"34\", \"bbox\": [328, 59, 337, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 59, 375, 69]}, {\"cell\": \"32\", \"bbox\": [401, 59, 410, 69]}, {\"cell\": \"9\", \"bbox\": [443, 59, 449, 69]}, {\"cell\": \"<i>AdC</i>\", \"bbox\": [1, 73, 15, 82]}, {\"cell\": \"188\", \"bbox\": [67, 73, 81, 83]}, {\"cell\": \"68\", \"bbox\": [120, 73, 129, 83]}, {\"cell\": \"17\", \"bbox\": [167, 73, 177, 83]}, {\"cell\": \"1\", \"bbox\": [199, 73, 205, 83]}, {\"cell\": \"102\", \"bbox\": [216, 73, 229, 83]}, {\"cell\": \"20.2\", \"bbox\": [254, 73, 269, 83]}, {\"cell\": \"48\", \"bbox\": [298, 73, 308, 83]}, {\"cell\": \"43\", \"bbox\": [328, 73, 337, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 73, 375, 83]}, {\"cell\": \"22\", \"bbox\": [401, 73, 410, 83]}, {\"cell\": \"2\", \"bbox\": [443, 73, 449, 83]}, {\"cell\": \"<i>Ad1</i>\", \"bbox\": [1, 87, 14, 96]}, {\"cell\": \"187\", \"bbox\": [67, 87, 81, 97]}, {\"cell\": \"69\", \"bbox\": [120, 87, 129, 97]}, {\"cell\": \"19\", \"bbox\": [167, 87, 177, 97]}, {\"cell\": \"1\", \"bbox\": [199, 87, 205, 97]}, {\"cell\": \"98\", \"bbox\": [220, 87, 229, 97]}, {\"cell\": \"21.6\", \"bbox\": [254, 87, 269, 97]}, {\"cell\": \"50\", \"bbox\": [298, 87, 308, 97]}, {\"cell\": \"40\", \"bbox\": [328, 87, 337, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 87, 375, 97]}, {\"cell\": \"26\", \"bbox\": [401, 87, 410, 97]}, {\"cell\": \"2\", \"bbox\": [443, 87, 449, 97]}, {\"cell\": \"<i>AF</i>\", \"bbox\": [1, 101, 10, 110]}, {\"cell\": \"207\", \"bbox\": [67, 101, 81, 111]}, {\"cell\": \"72\", \"bbox\": [120, 101, 129, 111]}, {\"cell\": \"35\", \"bbox\": [167, 101, 177, 111]}, {\"cell\": \"0\", \"bbox\": [199, 101, 205, 111]}, {\"cell\": \"100\", \"bbox\": [216, 101, 229, 111]}, {\"cell\": \"33.3\", \"bbox\": [254, 101, 269, 111]}, {\"cell\": \"50\", \"bbox\": [298, 101, 308, 111]}, {\"cell\": \"28\", \"bbox\": [328, 101, 337, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 101, 375, 111]}, {\"cell\": \"39\", \"bbox\": [401, 101, 410, 111]}, {\"cell\": \"5\", \"bbox\": [443, 101, 449, 111]}, {\"cell\": \"<i>AK</i>\", \"bbox\": [1, 115, 10, 124]}, {\"cell\": \"191\", \"bbox\": [67, 115, 81, 125]}, {\"cell\": \"72\", \"bbox\": [120, 115, 129, 125]}, {\"cell\": \"18\", \"bbox\": [167, 115, 177, 125]}, {\"cell\": \"0\", \"bbox\": [199, 115, 205, 125]}, {\"cell\": \"101\", \"bbox\": [216, 115, 229, 125]}, {\"cell\": \"20.0\", \"bbox\": [254, 115, 269, 125]}, {\"cell\": \"49\", \"bbox\": [298, 115, 308, 125]}, {\"cell\": \"41\", \"bbox\": [328, 115, 337, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 115, 375, 125]}, {\"cell\": \"24\", \"bbox\": [401, 115, 410, 125]}, {\"cell\": \"2\", \"bbox\": [443, 115, 449, 125]}, {\"cell\": \"<i>Sc</i>\", \"bbox\": [1, 129, 9, 138]}, {\"cell\": \"273\", \"bbox\": [67, 129, 81, 139]}, {\"cell\": \"101\", \"bbox\": [116, 129, 129, 139]}, {\"cell\": \"50\", \"bbox\": [167, 129, 177, 139]}, {\"cell\": \"1\", \"bbox\": [199, 129, 205, 139]}, {\"cell\": \"121\", \"bbox\": [216, 129, 229, 139]}, {\"cell\": \"33.1\", \"bbox\": [254, 129, 269, 139]}, {\"cell\": \"41\", \"bbox\": [298, 129, 308, 139]}, {\"cell\": \"37\", \"bbox\": [328, 129, 337, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 129, 375, 139]}, {\"cell\": \"37\", \"bbox\": [401, 129, 410, 139]}, {\"cell\": \"9\", \"bbox\": [443, 129, 449, 139]}, {\"cell\": \"<i>Ca</i>\", \"bbox\": [1, 143, 11, 152]}, {\"cell\": \"301\", \"bbox\": [67, 143, 81, 153]}, {\"cell\": \"109\", \"bbox\": [116, 143, 129, 153]}, {\"cell\": \"50\", \"bbox\": [167, 143, 177, 153]}, {\"cell\": \"2\", \"bbox\": [199, 143, 205, 153]}, {\"cell\": \"140\", \"bbox\": [216, 143, 229, 153]}, {\"cell\": \"31.4\", \"bbox\": [254, 143, 269, 153]}, {\"cell\": \"45\", \"bbox\": [298, 143, 308, 153]}, {\"cell\": \"N/A\", \"bbox\": [328, 143, 342, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 143, 380, 153]}, {\"cell\": \"N/A\", \"bbox\": [401, 143, 415, 153]}, {\"cell\": \"N/A\", \"bbox\": [443, 143, 457, 153]}, {\"cell\": \"<i>Ho</i>\", \"bbox\": [1, 157, 11, 166]}, {\"cell\": \"191\", \"bbox\": [67, 157, 81, 167]}, {\"cell\": \"53\", \"bbox\": [120, 157, 129, 167]}, {\"cell\": \"51\", \"bbox\": [167, 157, 177, 167]}, {\"cell\": \"3\", \"bbox\": [199, 157, 205, 167]}, {\"cell\": \"84\", \"bbox\": [220, 157, 229, 167]}, {\"cell\": \"49.0\", \"bbox\": [254, 157, 269, 167]}, {\"cell\": \"35\", \"bbox\": [298, 157, 308, 167]}, {\"cell\": \"35\", \"bbox\": [328, 157, 337, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 157, 375, 167]}, {\"cell\": \"27\", \"bbox\": [401, 157, 410, 167]}, {\"cell\": \"5\", \"bbox\": [443, 157, 449, 167]}, {\"cell\": \"<i>Pp</i>\", \"bbox\": [1, 171, 10, 180]}, {\"cell\": \"160\", \"bbox\": [67, 171, 81, 181]}, {\"cell\": \"60\", \"bbox\": [120, 171, 129, 181]}, {\"cell\": \"26\", \"bbox\": [167, 171, 177, 181]}, {\"cell\": \"5\", \"bbox\": [199, 171, 205, 181]}, {\"cell\": \"69\", \"bbox\": [220, 171, 229, 181]}, {\"cell\": \"30.2\", \"bbox\": [254, 171, 269, 181]}, {\"cell\": \"42\", \"bbox\": [298, 171, 308, 181]}, {\"cell\": \"N/A\", \"bbox\": [328, 171, 342, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 171, 380, 181]}, {\"cell\": \"N/A\", \"bbox\": [401, 171, 415, 181]}, {\"cell\": \"N/A\", \"bbox\": [443, 171, 457, 181]}, {\"cell\": \"Myxobacterial mean:\", \"bbox\": [1, 185, 47, 204]}, {\"cell\": \"242.7\", \"bbox\": [67, 185, 86, 195]}, {\"cell\": \"86\", \"bbox\": [120, 185, 129, 195]}, {\"cell\": \"39.8\", \"bbox\": [167, 185, 182, 195]}, {\"cell\": \"2.3\", \"bbox\": [199, 185, 210, 195]}, {\"cell\": \"114.5\", \"bbox\": [216, 185, 234, 195]}, {\"cell\": \"30.8\", \"bbox\": [254, 185, 269, 195]}, {\"cell\": \"44\", \"bbox\": [298, 185, 308, 195]}, {\"cell\": \"36\", \"bbox\": [328, 185, 337, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 185, 375, 195]}, {\"cell\": \"30\", \"bbox\": [401, 185, 410, 195]}, {\"cell\": \"5.9\", \"bbox\": [443, 185, 454, 195]}, {\"cell\": \"<i>Bn</i>\", \"bbox\": [1, 208, 10, 217]}, {\"cell\": \"92\", \"bbox\": [71, 208, 81, 218]}, {\"cell\": \"32\", \"bbox\": [120, 208, 129, 218]}, {\"cell\": \"16\", \"bbox\": [167, 208, 177, 218]}, {\"cell\": \"2\", \"bbox\": [199, 208, 205, 218]}, {\"cell\": \"42\", \"bbox\": [220, 208, 229, 218]}, {\"cell\": \"33.3\", \"bbox\": [254, 208, 269, 218]}, {\"cell\": \"73\", \"bbox\": [298, 208, 308, 218]}, {\"cell\": \"37\", \"bbox\": [328, 208, 337, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 208, 375, 218]}, {\"cell\": \"18\", \"bbox\": [401, 208, 410, 218]}, {\"cell\": \"4\", \"bbox\": [443, 208, 449, 218]}, {\"cell\": \"Bacterial mean:<sup>b</sup>\", \"bbox\": [1, 220, 54, 232]}, {\"cell\": \"31\", \"bbox\": [71, 222, 81, 232]}, {\"cell\": \"14.8\", \"bbox\": [120, 222, 134, 232]}, {\"cell\": \"3.3\", \"bbox\": [171, 222, 182, 232]}, {\"cell\": \"0.6\", \"bbox\": [199, 222, 210, 232]}, {\"cell\": \"15.6\", \"bbox\": [220, 222, 234, 232]}, {\"cell\": \"18.2\", \"bbox\": [254, 222, 269, 232]}, {\"cell\": \"63.5\", \"bbox\": [298, 222, 313, 232]}, {\"cell\": \"46\", \"bbox\": [328, 222, 337, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 222, 375, 232]}, {\"cell\": \"14\", \"bbox\": [401, 222, 410, 232]}, {\"cell\": \"0.3\", \"bbox\": [443, 222, 454, 232]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4603909_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}129{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Compound</b></td><td rowspan=\\\"2\\\"><b>Concentration (ng/mL)</b></td><td colspan=\\\"2\\\"><b>Intra-Day</b></td><td colspan=\\\"2\\\"><b>Inter-Day</b></td></tr><tr><td><b>Accuracy (RE, %)</b></td><td><b>Precision (RSD, %)</b></td><td><b>Accuracy (RE, %)</b></td><td><b>Precision (RSD, %)</b></td></tr></thead><tbody><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>23.05</td><td>14.39</td><td>1.98</td><td>9.85</td><td>6.29</td></tr><tr><td>[EMPTY_CELL]</td><td>14.12</td><td>1.68</td><td>8.64</td><td>7.18</td></tr><tr><td>[EMPTY_CELL]</td><td>5.62</td><td>8.49</td><td>4.77</td><td>8.03</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>23.51</td><td>10.40</td><td>3.94</td><td>5.66</td><td>11.33</td></tr><tr><td>[EMPTY_CELL]</td><td>9.97</td><td>1.33</td><td>5.95</td><td>5.43</td></tr><tr><td>[EMPTY_CELL]</td><td>5.04</td><td>7.30</td><td>2.74</td><td>6.52</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>22.82</td><td>−2.03</td><td>10.11</td><td>9.02</td><td>9.31</td></tr><tr><td>[EMPTY_CELL]</td><td>13.73</td><td>6.63</td><td>11.33</td><td>12.443</td></tr><tr><td>[EMPTY_CELL]</td><td>9.42</td><td>9.49</td><td>11.09</td><td>9.75</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>22.60</td><td>12.42</td><td>1.38</td><td>10.95</td><td>13.39</td></tr><tr><td>[EMPTY_CELL]</td><td>12.18</td><td>2.39</td><td>9.76</td><td>5.14</td></tr><tr><td>[EMPTY_CELL]</td><td>5.87</td><td>7.69</td><td>1.19</td><td>5.90</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>22.94</td><td>12.03</td><td>4.88</td><td>14.61</td><td>14.29</td></tr><tr><td>[EMPTY_CELL]</td><td>14.87</td><td>1.17</td><td>12.99</td><td>9.18</td></tr><tr><td>[EMPTY_CELL]</td><td>12.44</td><td>6.58</td><td>8.21</td><td>5.77</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>23.62</td><td>12.86</td><td>7.05</td><td>11.93</td><td>8.80</td></tr><tr><td>[EMPTY_CELL]</td><td>13.93</td><td>3.97</td><td>10.59</td><td>7.69</td></tr><tr><td>[EMPTY_CELL]</td><td>4.42</td><td>5.63</td><td>2.43</td><td>4.96</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>23.51</td><td>13.50</td><td>7.82</td><td>10.31</td><td>12.88</td></tr><tr><td>[EMPTY_CELL]</td><td>12.88</td><td>2.14</td><td>10.52</td><td>8.78</td></tr><tr><td>[EMPTY_CELL]</td><td>8.41</td><td>8.57</td><td>5.52</td><td>8.75</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Compound</b>\", \"bbox\": [13, 8, 50, 16]}, {\"cell\": \"<b>Concentration (ng/mL)</b>\", \"bbox\": [66, 8, 138, 16]}, {\"cell\": \"<b>Intra-Day</b>\", \"bbox\": [200, 4, 232, 12]}, {\"cell\": \"<b>Inter-Day</b>\", \"bbox\": [348, 4, 380, 12]}, {\"cell\": \"<b>Accuracy (RE, %)</b>\", \"bbox\": [152, 16, 206, 24]}, {\"cell\": \"<b>Precision (RSD, %)</b>\", \"bbox\": [223, 16, 283, 24]}, {\"cell\": \"<b>Accuracy (RE, %)</b>\", \"bbox\": [300, 16, 354, 24]}, {\"cell\": \"<b>Precision (RSD, %)</b>\", \"bbox\": [371, 16, 432, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 36, 55, 45]}, {\"cell\": \"23.05\", \"bbox\": [93, 27, 111, 36]}, {\"cell\": \"14.39\", \"bbox\": [170, 27, 187, 36]}, {\"cell\": \"1.98\", \"bbox\": [246, 28, 260, 36]}, {\"cell\": \"9.85\", \"bbox\": [320, 27, 334, 36]}, {\"cell\": \"6.29\", \"bbox\": [394, 27, 408, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 36, 111, 45]}, {\"cell\": \"14.12\", \"bbox\": [170, 36, 187, 45]}, {\"cell\": \"1.68\", \"bbox\": [246, 36, 260, 45]}, {\"cell\": \"8.64\", \"bbox\": [320, 36, 334, 45]}, {\"cell\": \"7.18\", \"bbox\": [394, 36, 408, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 44, 110, 53]}, {\"cell\": \"5.62\", \"bbox\": [172, 44, 186, 53]}, {\"cell\": \"8.49\", \"bbox\": [246, 44, 260, 53]}, {\"cell\": \"4.77\", \"bbox\": [320, 44, 334, 53]}, {\"cell\": \"8.03\", \"bbox\": [394, 44, 408, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 64, 59, 73]}, {\"cell\": \"23.51\", \"bbox\": [93, 56, 111, 65]}, {\"cell\": \"10.40\", \"bbox\": [170, 56, 187, 65]}, {\"cell\": \"3.94\", \"bbox\": [246, 56, 260, 65]}, {\"cell\": \"5.66\", \"bbox\": [320, 56, 334, 65]}, {\"cell\": \"11.33\", \"bbox\": [393, 56, 410, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 64, 111, 73]}, {\"cell\": \"9.97\", \"bbox\": [172, 64, 186, 73]}, {\"cell\": \"1.33\", \"bbox\": [246, 64, 260, 73]}, {\"cell\": \"5.95\", \"bbox\": [320, 64, 334, 73]}, {\"cell\": \"5.43\", \"bbox\": [394, 64, 408, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 72, 110, 81]}, {\"cell\": \"5.04\", \"bbox\": [172, 72, 186, 81]}, {\"cell\": \"7.30\", \"bbox\": [246, 72, 260, 81]}, {\"cell\": \"2.74\", \"bbox\": [320, 72, 334, 81]}, {\"cell\": \"6.52\", \"bbox\": [394, 72, 408, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 93, 53, 102]}, {\"cell\": \"22.82\", \"bbox\": [93, 84, 111, 93]}, {\"cell\": \"−2.03\", \"bbox\": [169, 84, 189, 93]}, {\"cell\": \"10.11\", \"bbox\": [244, 84, 262, 93]}, {\"cell\": \"9.02\", \"bbox\": [320, 84, 334, 93]}, {\"cell\": \"9.31\", \"bbox\": [394, 84, 408, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 92, 111, 101]}, {\"cell\": \"13.73\", \"bbox\": [170, 92, 187, 101]}, {\"cell\": \"6.63\", \"bbox\": [246, 93, 260, 101]}, {\"cell\": \"11.33\", \"bbox\": [319, 92, 336, 101]}, {\"cell\": \"12.443\", \"bbox\": [391, 92, 412, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 101, 110, 110]}, {\"cell\": \"9.42\", \"bbox\": [172, 101, 186, 110]}, {\"cell\": \"9.49\", \"bbox\": [246, 101, 260, 110]}, {\"cell\": \"11.09\", \"bbox\": [319, 101, 336, 110]}, {\"cell\": \"9.75\", \"bbox\": [394, 101, 408, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 121, 55, 129]}, {\"cell\": \"22.60\", \"bbox\": [93, 113, 111, 121]}, {\"cell\": \"12.42\", \"bbox\": [170, 113, 187, 121]}, {\"cell\": \"1.38\", \"bbox\": [246, 113, 260, 121]}, {\"cell\": \"10.95\", \"bbox\": [319, 113, 336, 121]}, {\"cell\": \"13.39\", \"bbox\": [393, 113, 410, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 121, 111, 130]}, {\"cell\": \"12.18\", \"bbox\": [170, 121, 187, 130]}, {\"cell\": \"2.39\", \"bbox\": [246, 121, 260, 130]}, {\"cell\": \"9.76\", \"bbox\": [320, 121, 334, 130]}, {\"cell\": \"5.14\", \"bbox\": [394, 121, 408, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 129, 110, 138]}, {\"cell\": \"5.87\", \"bbox\": [172, 129, 186, 138]}, {\"cell\": \"7.69\", \"bbox\": [246, 129, 260, 138]}, {\"cell\": \"1.19\", \"bbox\": [320, 129, 334, 138]}, {\"cell\": \"5.90\", \"bbox\": [394, 129, 408, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 150, 53, 159]}, {\"cell\": \"22.94\", \"bbox\": [93, 141, 111, 150]}, {\"cell\": \"12.03\", \"bbox\": [170, 141, 187, 150]}, {\"cell\": \"4.88\", \"bbox\": [246, 141, 260, 150]}, {\"cell\": \"14.61\", \"bbox\": [319, 141, 336, 150]}, {\"cell\": \"14.29\", \"bbox\": [393, 141, 410, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 149, 111, 158]}, {\"cell\": \"14.87\", \"bbox\": [170, 149, 187, 158]}, {\"cell\": \"1.17\", \"bbox\": [246, 149, 260, 158]}, {\"cell\": \"12.99\", \"bbox\": [319, 149, 336, 158]}, {\"cell\": \"9.18\", \"bbox\": [394, 149, 408, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 157, 110, 166]}, {\"cell\": \"12.44\", \"bbox\": [170, 157, 187, 166]}, {\"cell\": \"6.58\", \"bbox\": [246, 158, 260, 166]}, {\"cell\": \"8.21\", \"bbox\": [320, 157, 334, 166]}, {\"cell\": \"5.77\", \"bbox\": [394, 157, 408, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 178, 53, 187]}, {\"cell\": \"23.62\", \"bbox\": [93, 169, 111, 178]}, {\"cell\": \"12.86\", \"bbox\": [170, 169, 187, 178]}, {\"cell\": \"7.05\", \"bbox\": [246, 169, 260, 178]}, {\"cell\": \"11.93\", \"bbox\": [319, 169, 336, 178]}, {\"cell\": \"8.80\", \"bbox\": [394, 169, 408, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 178, 111, 186]}, {\"cell\": \"13.93\", \"bbox\": [170, 178, 187, 186]}, {\"cell\": \"3.97\", \"bbox\": [246, 178, 260, 186]}, {\"cell\": \"10.59\", \"bbox\": [319, 178, 336, 186]}, {\"cell\": \"7.69\", \"bbox\": [394, 178, 408, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 186, 110, 195]}, {\"cell\": \"4.42\", \"bbox\": [172, 186, 186, 195]}, {\"cell\": \"5.63\", \"bbox\": [246, 186, 260, 195]}, {\"cell\": \"2.43\", \"bbox\": [320, 186, 334, 195]}, {\"cell\": \"4.96\", \"bbox\": [394, 186, 408, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 207, 54, 215]}, {\"cell\": \"23.51\", \"bbox\": [93, 198, 111, 206]}, {\"cell\": \"13.50\", \"bbox\": [170, 198, 187, 206]}, {\"cell\": \"7.82\", \"bbox\": [246, 198, 260, 207]}, {\"cell\": \"10.31\", \"bbox\": [319, 198, 336, 206]}, {\"cell\": \"12.88\", \"bbox\": [393, 198, 410, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 206, 111, 215]}, {\"cell\": \"12.88\", \"bbox\": [170, 206, 187, 215]}, {\"cell\": \"2.14\", \"bbox\": [246, 206, 260, 215]}, {\"cell\": \"10.52\", \"bbox\": [319, 206, 336, 215]}, {\"cell\": \"8.78\", \"bbox\": [394, 206, 408, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 214, 110, 223]}, {\"cell\": \"8.41\", \"bbox\": [172, 214, 186, 223]}, {\"cell\": \"8.57\", \"bbox\": [246, 214, 260, 223]}, {\"cell\": \"5.52\", \"bbox\": [320, 214, 334, 223]}, {\"cell\": \"8.75\", \"bbox\": [394, 214, 408, 223]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6073449_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}130{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Year</b></td><td><b>T2 (ms)</b></td><td><b>Authors</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>57 ± 16</td><td>Bottomley et al.</td><td>Med Phys. 1984 Jul-Aug;11(4):425-48.</td></tr><tr><td>[EMPTY_CELL]</td><td>42.4<sup>1</sup></td><td>McNamara et al.</td><td>Circulation. 1985:71, No. 4, 717-724.</td></tr><tr><td>[EMPTY_CELL]</td><td>50 ± 3</td><td>Walker et al.</td><td>Magn Reson Med. 1993 May;29(5):637-41.</td></tr><tr><td>[EMPTY_CELL]</td><td>44.3 ± 3.5</td><td>Mavrogeni et al.</td><td>MAGMA. 1998 Aug;6(1):7-12</td></tr><tr><td>[EMPTY_CELL]</td><td>48.3 ± 5.5</td><td>Mavrogeni et al.</td><td>Int J Card Imaging. 1998 Apr;14(2):117-22</td></tr><tr><td>[EMPTY_CELL]</td><td>57.95 ± 4.9</td><td>Papanikolaou et al.</td><td>Acta Radiol. 2000 Jul;41(4):348-51.</td></tr><tr><td>[EMPTY_CELL]</td><td>52 ± 4.3</td><td>Foltz et al.</td><td>Magn Reson Med. 2003 Jun;49(6):1089-97.</td></tr><tr><td>[EMPTY_CELL]</td><td>58.1 ± 7.1</td><td>Mavrogeni et al.</td><td>Chest. 2005 Jan;127(1):143-8.</td></tr><tr><td>[EMPTY_CELL]</td><td>56.9 ± 8.4</td><td>He et al.</td><td>J Magn Reson Imaging. 2006 Sep;24(3):580-5</td></tr><tr><td>[EMPTY_CELL]</td><td>54 ± 4.3</td><td>Huang et al.</td><td>Magn Reson Med. 2007 May;57(5):960-6.</td></tr><tr><td>[EMPTY_CELL]</td><td>50 ± 4</td><td>Blume et al.</td><td>J Magn Reson Imaging. 2009 Feb;29(2):480-7</td></tr><tr><td>[EMPTY_CELL]</td><td>54 ± 6.8</td><td>Sparrow et al.</td><td>J Magn Reson Imaging. 2009 Nov;30(5):942-6.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Year</b>\", \"bbox\": [4, 5, 25, 14]}, {\"cell\": \"<b>T2 (ms)</b>\", \"bbox\": [48, 5, 81, 14]}, {\"cell\": \"<b>Authors</b>\", \"bbox\": [124, 5, 157, 14]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [240, 5, 280, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 23, 36]}, {\"cell\": \"57 ± 16\", \"bbox\": [48, 27, 76, 36]}, {\"cell\": \"Bottomley et al.\", \"bbox\": [124, 27, 179, 36]}, {\"cell\": \"Med Phys. 1984 Jul-Aug;11(4):425-48.\", \"bbox\": [240, 27, 367, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 37, 23, 47]}, {\"cell\": \"42.4<sup>1</sup>\", \"bbox\": [48, 37, 67, 47]}, {\"cell\": \"McNamara et al.\", \"bbox\": [124, 37, 181, 47]}, {\"cell\": \"Circulation. 1985:71, No. 4, 717-724.\", \"bbox\": [239, 37, 366, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 47, 23, 57]}, {\"cell\": \"50 ± 3\", \"bbox\": [48, 47, 72, 57]}, {\"cell\": \"Walker et al.\", \"bbox\": [124, 47, 169, 57]}, {\"cell\": \"Magn Reson Med. 1993 May;29(5):637-41.\", \"bbox\": [239, 47, 382, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 57, 23, 67]}, {\"cell\": \"44.3 ± 3.5\", \"bbox\": [48, 57, 84, 67]}, {\"cell\": \"Mavrogeni et al.\", \"bbox\": [124, 57, 179, 67]}, {\"cell\": \"MAGMA. 1998 Aug;6(1):7-12\", \"bbox\": [239, 57, 340, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 68, 23, 77]}, {\"cell\": \"48.3 ± 5.5\", \"bbox\": [48, 68, 84, 77]}, {\"cell\": \"Mavrogeni et al.\", \"bbox\": [124, 68, 179, 77]}, {\"cell\": \"Int J Card Imaging. 1998 Apr;14(2):117-22\", \"bbox\": [240, 68, 381, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 78, 23, 88]}, {\"cell\": \"57.95 ± 4.9\", \"bbox\": [48, 78, 88, 88]}, {\"cell\": \"Papanikolaou et al.\", \"bbox\": [124, 78, 188, 88]}, {\"cell\": \"Acta Radiol. 2000 Jul;41(4):348-51.\", \"bbox\": [239, 78, 357, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 88, 23, 98]}, {\"cell\": \"52 ± 4.3\", \"bbox\": [48, 88, 78, 98]}, {\"cell\": \"Foltz et al.\", \"bbox\": [124, 88, 160, 98]}, {\"cell\": \"Magn Reson Med. 2003 Jun;49(6):1089-97.\", \"bbox\": [240, 88, 383, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 99, 23, 108]}, {\"cell\": \"58.1 ± 7.1\", \"bbox\": [48, 99, 84, 108]}, {\"cell\": \"Mavrogeni et al.\", \"bbox\": [124, 99, 179, 108]}, {\"cell\": \"Chest. 2005 Jan;127(1):143-8.\", \"bbox\": [239, 99, 340, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 109, 23, 118]}, {\"cell\": \"56.9 ± 8.4\", \"bbox\": [48, 109, 84, 118]}, {\"cell\": \"He et al.\", \"bbox\": [124, 109, 154, 118]}, {\"cell\": \"J Magn Reson Imaging. 2006 Sep;24(3):580-5\", \"bbox\": [239, 109, 389, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 119, 23, 129]}, {\"cell\": \"54 ± 4.3\", \"bbox\": [48, 119, 78, 129]}, {\"cell\": \"Huang et al.\", \"bbox\": [124, 119, 165, 129]}, {\"cell\": \"Magn Reson Med. 2007 May;57(5):960-6.\", \"bbox\": [239, 119, 378, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 129, 23, 139]}, {\"cell\": \"50 ± 4\", \"bbox\": [48, 129, 72, 139]}, {\"cell\": \"Blume et al.\", \"bbox\": [124, 129, 165, 139]}, {\"cell\": \"J Magn Reson Imaging. 2009 Feb;29(2):480-7\", \"bbox\": [239, 129, 389, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 140, 23, 149]}, {\"cell\": \"54 ± 6.8\", \"bbox\": [48, 140, 78, 149]}, {\"cell\": \"Sparrow et al.\", \"bbox\": [124, 140, 172, 149]}, {\"cell\": \"J Magn Reson Imaging. 2009 Nov;30(5):942-6.\", \"bbox\": [240, 140, 393, 149]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2809052_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}131{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Cellular pathway</b></td><td><b>Detected number of genes in SAM-list</b></td><td><b>Expected number of genes based on NCBI reference list</b></td><td><b>P-value</b></td></tr></thead><tbody><tr><td><b>Angiogenesis</b></td><td>16</td><td>4.12</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Wnt signaling</b></td><td>20</td><td>6.71</td><td>[EMPTY_CELL]</td></tr><tr><td><b>T cell activation</b></td><td>10</td><td>2.26</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Inflammation mediated by chemokine and cytokine signaling pathway</b></td><td>16</td><td>5.9</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Endothelin signaling pathway</b></td><td>8</td><td>1.84</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Muscarinic acetylcholine receptor 1 and 3 signaling pathway</b></td><td>5</td><td>0.81</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Integrin signaling pathway</b></td><td>12</td><td>4.44</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Alpha adrenergic receptor signaling pathway</b></td><td>4</td><td>0.53</td><td>[EMPTY_CELL]</td></tr><tr><td><b>EGF receptor signaling pathway</b></td><td>8</td><td>2.56</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Unclassified</b></td><td>370</td><td>388.65</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Axon guidance mediated by semaphorins</b></td><td>5</td><td>1.15</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PDGF signaling pathway</b></td><td>9</td><td>3.38</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Ras pathway</b></td><td>6</td><td>1.73</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Cellular pathway</b>\", \"bbox\": [4, 5, 72, 14]}, {\"cell\": \"<b>Detected number of genes in SAM-list</b>\", \"bbox\": [259, 5, 339, 23]}, {\"cell\": \"<b>Expected number of genes based on NCBI reference list</b>\", \"bbox\": [347, 5, 460, 23]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [467, 5, 497, 14]}, {\"cell\": \"<b>Angiogenesis</b>\", \"bbox\": [4, 36, 57, 46]}, {\"cell\": \"16\", \"bbox\": [294, 36, 304, 44]}, {\"cell\": \"4.12\", \"bbox\": [396, 36, 412, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 36, 496, 44]}, {\"cell\": \"<b>Wnt signaling</b>\", \"bbox\": [4, 46, 60, 56]}, {\"cell\": \"20\", \"bbox\": [294, 46, 304, 54]}, {\"cell\": \"6.71\", \"bbox\": [396, 46, 412, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 46, 496, 54]}, {\"cell\": \"<b>T cell activation</b>\", \"bbox\": [4, 57, 68, 66]}, {\"cell\": \"10\", \"bbox\": [294, 57, 304, 64]}, {\"cell\": \"2.26\", \"bbox\": [396, 57, 412, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 57, 496, 64]}, {\"cell\": \"<b>Inflammation mediated by chemokine and cytokine signaling pathway</b>\", \"bbox\": [4, 67, 240, 86]}, {\"cell\": \"16\", \"bbox\": [294, 67, 304, 75]}, {\"cell\": \"5.9\", \"bbox\": [398, 67, 410, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 67, 496, 75]}, {\"cell\": \"<b>Endothelin signaling pathway</b>\", \"bbox\": [4, 86, 118, 96]}, {\"cell\": \"8\", \"bbox\": [296, 86, 302, 94]}, {\"cell\": \"1.84\", \"bbox\": [396, 86, 412, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 86, 496, 94]}, {\"cell\": \"<b>Muscarinic acetylcholine receptor 1 and 3 signaling pathway</b>\", \"bbox\": [4, 97, 236, 106]}, {\"cell\": \"5\", \"bbox\": [296, 97, 302, 104]}, {\"cell\": \"0.81\", \"bbox\": [396, 97, 412, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 97, 496, 104]}, {\"cell\": \"<b>Integrin signaling pathway</b>\", \"bbox\": [4, 107, 107, 116]}, {\"cell\": \"12\", \"bbox\": [294, 107, 304, 115]}, {\"cell\": \"4.44\", \"bbox\": [396, 107, 412, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 107, 496, 115]}, {\"cell\": \"<b>Alpha adrenergic receptor signaling pathway</b>\", \"bbox\": [4, 117, 179, 127]}, {\"cell\": \"4\", \"bbox\": [296, 117, 302, 125]}, {\"cell\": \"0.53\", \"bbox\": [396, 117, 412, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 117, 496, 125]}, {\"cell\": \"<b>EGF receptor signaling pathway</b>\", \"bbox\": [4, 127, 129, 137]}, {\"cell\": \"8\", \"bbox\": [296, 127, 302, 135]}, {\"cell\": \"2.56\", \"bbox\": [396, 127, 412, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 127, 496, 135]}, {\"cell\": \"<b>Unclassified</b>\", \"bbox\": [4, 138, 52, 147]}, {\"cell\": \"370\", \"bbox\": [292, 138, 306, 145]}, {\"cell\": \"388.65\", \"bbox\": [392, 138, 416, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 138, 496, 145]}, {\"cell\": \"<b>Axon guidance mediated by semaphorins</b>\", \"bbox\": [4, 148, 165, 157]}, {\"cell\": \"5\", \"bbox\": [296, 148, 302, 156]}, {\"cell\": \"1.15\", \"bbox\": [396, 148, 412, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 148, 496, 156]}, {\"cell\": \"<b>PDGF signaling pathway</b>\", \"bbox\": [4, 158, 100, 168]}, {\"cell\": \"9\", \"bbox\": [296, 158, 302, 166]}, {\"cell\": \"3.38\", \"bbox\": [396, 158, 412, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 158, 496, 166]}, {\"cell\": \"<b>Ras pathway</b>\", \"bbox\": [4, 168, 55, 178]}, {\"cell\": \"6\", \"bbox\": [296, 168, 302, 176]}, {\"cell\": \"1.73\", \"bbox\": [396, 168, 412, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 168, 496, 176]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2212662_008_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}132{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Evaluation Question</b></td><td><b>Cohort 1 (Yale) n = 35% (95% CI)</b></td><td><b>Cohort 2 (Yale/M. Patern) n = 32% (95% CI)</b></td><td><b>Cohort 3 (M. Patern) n = 26% (95% C</b></td></tr></thead><tbody><tr><td><b>Self-reported management skills (% reporting \\\"very strong and confident\\\")</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Self-rated management skills:</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Before the course</td><td>17.7 (7-34)</td><td>[EMPTY_CELL]</td><td>3.9 (0-22)</td></tr><tr><td>After the course</td><td>100.0 (87-100)</td><td>[EMPTY_CELL]</td><td>100.0 (83-100)</td></tr><tr><td><b>Course ratings (% reporting \\\"extremely well\\\")</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>How well did the training:</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Address new management techniques?</td><td>91.4 (76-98)</td><td>[EMPTY_CELL]</td><td>88.5 (69-97)</td></tr><tr><td>Build management capacity in the areas of leadership, strategic planning, human resource development, and financial management?</td><td>67.7 (49-82)</td><td>[EMPTY_CELL]</td><td>76.9 (56-90)</td></tr><tr><td>Create a community of learners and build teams of healthcare professionals?</td><td>57.1 (40-73)</td><td>[EMPTY_CELL]</td><td>69.2 (48-85)</td></tr><tr><td><b>How well did the training meet its objectives for:</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Scientific method of problem solving and related skills/tools?</td><td>80.0 (63-91)</td><td>[EMPTY_CELL]</td><td>84.6 (64-95)</td></tr><tr><td>Personal and professional leadership?</td><td>67.7 (49-82)</td><td>[EMPTY_CELL]</td><td>70.8 (49-87)</td></tr><tr><td>Building teams, personal communication styles, and empowering employees</td><td>78.1 (60-90)</td><td>[EMPTY_CELL]</td><td>69.2 (48-85)</td></tr><tr><td><b>Faculty's ability to teach and manage the training (% reporting \\\"yes, definitely\\\")</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Faculty responded effectively to questions</td><td>88.6 (72-96)</td><td>[EMPTY_CELL]</td><td>88.5 (69-97)</td></tr><tr><td>Faculty related theory to real-life by using actual workplace problems or concerns in their teaching</td><td>88.2 (72-96)</td><td>[EMPTY_CELL]</td><td>92.3 (73-99)</td></tr><tr><td>If the course were offered again, would you recommend it to your colleagues?</td><td>93.9 (78-99)</td><td>[EMPTY_CELL]</td><td>100.0 (83-100)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Evaluation Question</b>\", \"bbox\": [1, 4, 72, 13]}, {\"cell\": \"<b>Cohort 1 (Yale) n = 35% (95% CI)</b>\", \"bbox\": [276, 4, 340, 22]}, {\"cell\": \"<b>Cohort 2 (Yale/M. Patern) n = 32% (95% CI)</b>\", \"bbox\": [344, 4, 407, 31]}, {\"cell\": \"<b>Cohort 3 (M. Patern) n = 26% (95% C</b>\", \"bbox\": [411, 4, 484, 22]}, {\"cell\": \"<b>Self-reported management skills (% reporting \\\"very strong and confident\\\")</b>\", \"bbox\": [1, 35, 254, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Self-rated management skills:</b>\", \"bbox\": [1, 47, 101, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before the course\", \"bbox\": [1, 59, 59, 68]}, {\"cell\": \"17.7 (7-34)\", \"bbox\": [276, 59, 312, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 59, 379, 68]}, {\"cell\": \"3.9 (0-22)\", \"bbox\": [411, 59, 443, 68]}, {\"cell\": \"After the course\", \"bbox\": [1, 71, 54, 80]}, {\"cell\": \"100.0 (87-100)\", \"bbox\": [276, 71, 323, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 71, 387, 80]}, {\"cell\": \"100.0 (83-100)\", \"bbox\": [411, 71, 458, 80]}, {\"cell\": \"<b>Course ratings (% reporting \\\"extremely well\\\")</b>\", \"bbox\": [1, 83, 155, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>How well did the training:</b>\", \"bbox\": [1, 95, 91, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Address new management techniques?\", \"bbox\": [1, 107, 130, 116]}, {\"cell\": \"91.4 (76-98)\", \"bbox\": [276, 107, 315, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 107, 387, 116]}, {\"cell\": \"88.5 (69-97)\", \"bbox\": [411, 107, 450, 116]}, {\"cell\": \"Build management capacity in the areas of leadership, strategic planning, human resource development, and financial management?\", \"bbox\": [1, 119, 225, 137]}, {\"cell\": \"67.7 (49-82)\", \"bbox\": [276, 119, 315, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 119, 383, 128]}, {\"cell\": \"76.9 (56-90)\", \"bbox\": [411, 119, 450, 128]}, {\"cell\": \"Create a community of learners and build teams of healthcare professionals?\", \"bbox\": [1, 140, 204, 158]}, {\"cell\": \"57.1 (40-73)\", \"bbox\": [276, 140, 315, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 140, 383, 149]}, {\"cell\": \"69.2 (48-85)\", \"bbox\": [411, 140, 450, 149]}, {\"cell\": \"<b>How well did the training meet its objectives for:</b>\", \"bbox\": [1, 161, 169, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Scientific method of problem solving and related skills/tools?\", \"bbox\": [1, 173, 200, 182]}, {\"cell\": \"80.0 (63-91)\", \"bbox\": [276, 173, 315, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 173, 387, 182]}, {\"cell\": \"84.6 (64-95)\", \"bbox\": [411, 173, 450, 182]}, {\"cell\": \"Personal and professional leadership?\", \"bbox\": [1, 185, 123, 194]}, {\"cell\": \"67.7 (49-82)\", \"bbox\": [276, 185, 315, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 185, 383, 194]}, {\"cell\": \"70.8 (49-87)\", \"bbox\": [411, 185, 450, 194]}, {\"cell\": \"Building teams, personal communication styles, and empowering employees\", \"bbox\": [1, 196, 250, 206]}, {\"cell\": \"78.1 (60-90)\", \"bbox\": [276, 196, 315, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 196, 383, 206]}, {\"cell\": \"69.2 (48-85)\", \"bbox\": [411, 196, 450, 206]}, {\"cell\": \"<b>Faculty's ability to teach and manage the training (% reporting \\\"yes, definitely\\\")</b>\", \"bbox\": [1, 208, 272, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Faculty responded effectively to questions\", \"bbox\": [1, 220, 139, 230]}, {\"cell\": \"88.6 (72-96)\", \"bbox\": [276, 220, 315, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 220, 387, 230]}, {\"cell\": \"88.5 (69-97)\", \"bbox\": [411, 220, 450, 230]}, {\"cell\": \"Faculty related theory to real-life by using actual workplace problems or concerns in their teaching\", \"bbox\": [1, 232, 236, 251]}, {\"cell\": \"88.2 (72-96)\", \"bbox\": [276, 232, 315, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 232, 390, 242]}, {\"cell\": \"92.3 (73-99)\", \"bbox\": [411, 232, 450, 242]}, {\"cell\": \"If the course were offered again, would you recommend it to your colleagues?\", \"bbox\": [1, 253, 259, 263]}, {\"cell\": \"93.9 (78-99)\", \"bbox\": [276, 253, 315, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 253, 390, 263]}, {\"cell\": \"100.0 (83-100)\", \"bbox\": [411, 253, 458, 263]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2850875_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}133{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>eMERGE <i>n</i> = 10,487</b></td><td><b>BioVU <i>n</i> = 13,711</b></td><td><b>Combined <i>n</i> = 24,198</b></td></tr></thead><tbody><tr><td>Genotyping Platform</td><td>[EMPTY_CELL]</td><td>Illumina HumanExome</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of SNPs</td><td>[EMPTY_CELL]</td><td>9</td><td>9</td></tr><tr><td>Total number of phenotypes</td><td>[EMPTY_CELL]</td><td>1254</td><td>1010</td></tr><tr><td>Median age (IQR)</td><td>[EMPTY_CELL]</td><td>60 (47–72)</td><td>59 (48–70)</td></tr><tr><td>Female (%)</td><td>[EMPTY_CELL]</td><td>54.31</td><td>53.35</td></tr><tr><td>BMI (average ± <i>SD</i>)</td><td>[EMPTY_CELL]</td><td>28.43 ± 6.44</td><td>29.54 ± 7.04</td></tr><tr><td>Most frequent diagnoses</td><td>[EMPTY_CELL]</td><td>Hypertension (63%) Malaise and fatigue (51%) Eye infection, viral (50%) Hyperlipidemia (40%) Pain in limb (39%)</td><td>Hypertension (64%) Hyperlipidemia (49%) Malaise and fatigue (46%) Pain in limb (43%) GERD (34%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>eMERGE <i>n</i> = 10,487</b>\", \"bbox\": [135, 6, 174, 25]}, {\"cell\": \"<b>BioVU <i>n</i> = 13,711</b>\", \"bbox\": [299, 6, 337, 25]}, {\"cell\": \"<b>Combined <i>n</i> = 24,198</b>\", \"bbox\": [433, 6, 473, 25]}, {\"cell\": \"Genotyping Platform\", \"bbox\": [1, 36, 71, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 36, 246, 45]}, {\"cell\": \"Illumina HumanExome\", \"bbox\": [299, 36, 376, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of SNPs\", \"bbox\": [1, 47, 59, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 47, 146, 56]}, {\"cell\": \"9\", \"bbox\": [299, 47, 305, 56]}, {\"cell\": \"9\", \"bbox\": [433, 47, 440, 56]}, {\"cell\": \"Total number of phenotypes\", \"bbox\": [0, 59, 55, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 59, 153, 68]}, {\"cell\": \"1254\", \"bbox\": [299, 59, 317, 68]}, {\"cell\": \"1010\", \"bbox\": [433, 59, 450, 68]}, {\"cell\": \"Median age (IQR)\", \"bbox\": [0, 81, 61, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 81, 172, 90]}, {\"cell\": \"60 (47–72)\", \"bbox\": [299, 81, 335, 90]}, {\"cell\": \"59 (48–70)\", \"bbox\": [433, 81, 470, 90]}, {\"cell\": \"Female (%)\", \"bbox\": [0, 92, 41, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 92, 156, 101]}, {\"cell\": \"54.31\", \"bbox\": [299, 92, 319, 101]}, {\"cell\": \"53.35\", \"bbox\": [433, 92, 454, 101]}, {\"cell\": \"BMI (average ± <i>SD</i>)\", \"bbox\": [0, 104, 69, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 104, 179, 113]}, {\"cell\": \"28.43 ± 6.44\", \"bbox\": [299, 104, 344, 113]}, {\"cell\": \"29.54 ± 7.04\", \"bbox\": [433, 104, 477, 113]}, {\"cell\": \"Most frequent diagnoses\", \"bbox\": [1, 115, 86, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 115, 232, 176]}, {\"cell\": \"Hypertension (63%) Malaise and fatigue (51%) Eye infection, viral (50%) Hyperlipidemia (40%) Pain in limb (39%)\", \"bbox\": [299, 115, 383, 176]}, {\"cell\": \"Hypertension (64%) Hyperlipidemia (49%) Malaise and fatigue (46%) Pain in limb (43%) GERD (34%)\", \"bbox\": [433, 115, 507, 176]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4134007_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}134{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>GO<sup>1</sup></b></td><td><b>GO Term</b></td><td><b>DEG<sup>2</sup></b></td><td><b>FDR<sup>3</sup></b></td></tr></thead><tbody><tr><td>Biological Process</td><td>blood vessel development</td><td>64</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>vasculature development</td><td>64</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>actin filament organization</td><td>40</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>actin cytoskeleton organization and biogenesis</td><td>81</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>actin filament-based process</td><td>84</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>regulation of signal transduction</td><td>98</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>angiogenesis</td><td>56</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>blood vessel morphogenesis</td><td>60</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>cell morphogenesis</td><td>161</td><td>[EMPTY_CELL]</td></tr><tr><td>Cellular Component</td><td>extracellular matrix</td><td>75</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>proteinaceous extracellular matrix</td><td>74</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>actin cytoskeleton</td><td>60</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>adherens junction</td><td>30</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>cell-matrix junction</td><td>25</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>cytoskeleton</td><td>132</td><td>[EMPTY_CELL]</td></tr><tr><td>Molecular Function</td><td>protein binding</td><td>864</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>binding</td><td>1195</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>cytoskeletal protein binding</td><td>95</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>GO<sup>1</sup></b>\", \"bbox\": [4, 4, 24, 12]}, {\"cell\": \"<b>GO Term</b>\", \"bbox\": [131, 5, 171, 12]}, {\"cell\": \"<b>DEG<sup>2</sup></b>\", \"bbox\": [417, 4, 441, 12]}, {\"cell\": \"<b>FDR<sup>3</sup></b>\", \"bbox\": [461, 4, 483, 12]}, {\"cell\": \"Biological Process\", \"bbox\": [4, 27, 66, 36]}, {\"cell\": \"blood vessel development\", \"bbox\": [131, 27, 219, 36]}, {\"cell\": \"64\", \"bbox\": [430, 27, 441, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 27, 486, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"vasculature development\", \"bbox\": [131, 37, 216, 47]}, {\"cell\": \"64\", \"bbox\": [431, 37, 441, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 37, 486, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"actin filament organization\", \"bbox\": [131, 47, 220, 57]}, {\"cell\": \"40\", \"bbox\": [430, 47, 441, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 47, 486, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"actin cytoskeleton organization and biogenesis\", \"bbox\": [131, 57, 287, 67]}, {\"cell\": \"81\", \"bbox\": [430, 57, 441, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 57, 486, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"actin filament-based process\", \"bbox\": [131, 68, 227, 77]}, {\"cell\": \"84\", \"bbox\": [431, 68, 441, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 68, 486, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"regulation of signal transduction\", \"bbox\": [131, 78, 239, 88]}, {\"cell\": \"98\", \"bbox\": [430, 78, 441, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 78, 486, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"angiogenesis\", \"bbox\": [131, 88, 174, 98]}, {\"cell\": \"56\", \"bbox\": [430, 88, 441, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 88, 486, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"blood vessel morphogenesis\", \"bbox\": [131, 98, 227, 108]}, {\"cell\": \"60\", \"bbox\": [430, 98, 441, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 98, 486, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"cell morphogenesis\", \"bbox\": [131, 109, 197, 118]}, {\"cell\": \"161\", \"bbox\": [426, 109, 441, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 109, 486, 118]}, {\"cell\": \"Cellular Component\", \"bbox\": [4, 119, 75, 129]}, {\"cell\": \"extracellular matrix\", \"bbox\": [131, 119, 198, 129]}, {\"cell\": \"75\", \"bbox\": [430, 119, 441, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 119, 486, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"proteinaceous extracellular matrix\", \"bbox\": [131, 129, 248, 139]}, {\"cell\": \"74\", \"bbox\": [431, 129, 441, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 129, 486, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"actin cytoskeleton\", \"bbox\": [131, 139, 193, 149]}, {\"cell\": \"60\", \"bbox\": [431, 139, 441, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 139, 486, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"adherens junction\", \"bbox\": [131, 150, 192, 159]}, {\"cell\": \"30\", \"bbox\": [430, 150, 441, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 150, 486, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"cell-matrix junction\", \"bbox\": [131, 160, 197, 170]}, {\"cell\": \"25\", \"bbox\": [430, 160, 441, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 160, 486, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"cytoskeleton\", \"bbox\": [131, 170, 175, 180]}, {\"cell\": \"132\", \"bbox\": [426, 170, 441, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 170, 486, 180]}, {\"cell\": \"Molecular Function\", \"bbox\": [4, 180, 71, 190]}, {\"cell\": \"protein binding\", \"bbox\": [131, 180, 183, 190]}, {\"cell\": \"864\", \"bbox\": [426, 180, 441, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 180, 486, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"binding\", \"bbox\": [131, 191, 156, 200]}, {\"cell\": \"1195\", \"bbox\": [422, 191, 441, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 191, 486, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"cytoskeletal protein binding\", \"bbox\": [131, 201, 225, 211]}, {\"cell\": \"95\", \"bbox\": [430, 201, 441, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 201, 486, 211]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2435557_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}135{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Activities/ Severity</b></td><td><b>Mild (n=21)</b></td><td><b>Moderate (n=30)</b></td><td><b>Severe (n=26)</b></td><td><b>Very severe (n=23)</b></td><td><b>p</b></td></tr></thead><tbody><tr><td><b>Lateral lying</b></td><td><b>3.4 (2.8-3.9)</b></td><td><b>2.6 (2.3-3.0)</b></td><td>[EMPTY_CELL]</td><td><b>3.0 (2.5-3.6)</b></td><td><b>0.3</b></td></tr><tr><td><b>Dorsal lying</b></td><td><b>3.1 (2.7-3.5)</b></td><td><b>3.3 (2.8-3.9)</b></td><td>[EMPTY_CELL]</td><td><b>3.2 (2.6-3.7)</b></td><td><b>0.7</b></td></tr><tr><td><b>Sitting</b></td><td><b>3.1 (2.6-3.7)</b></td><td><b>3.3 (2.8-3.7)</b></td><td>[EMPTY_CELL]</td><td><b>3.5 (2.9-4.0)</b></td><td><b>0.6</b></td></tr><tr><td><b>Standing</b></td><td><b>3.4 (2.9-3.9)</b></td><td><b>3.2 (2.9-3.5)</b></td><td>[EMPTY_CELL]</td><td><b>4.2 (3.6-4.8)</b></td><td><b>0.08</b></td></tr><tr><td><b>Morning hygiene</b></td><td><b>5.7 (4.0-7.4)</b></td><td><b>5.7 (4.8-6.5)</b></td><td>[EMPTY_CELL]</td><td><b>6.7 (5.6-7.8)</b></td><td><b>0.7</b></td></tr><tr><td><b>Bathing</b></td><td><b>8.5 (7.3-9.8)</b></td><td><b>8.1 (7.1-9.1)</b></td><td>[EMPTY_CELL]</td><td><b>9.1 (7.9-10.3)</b></td><td><b>0.2</b></td></tr><tr><td><b>Putting on clothes</b></td><td><b>8.2 (6.3-10.1)</b></td><td><b>8.4 (7.0-9.7)</b></td><td>[EMPTY_CELL]</td><td><b>8.9 (7.5-10.3)</b></td><td><b>0.7</b></td></tr><tr><td><b>Taking off clothes</b></td><td><b>8.4 (6.5-10.3)</b></td><td><b>8.5 (7.1-9.9)</b></td><td>[EMPTY_CELL]</td><td><b>6.4 (5.0-7.8)</b></td><td><b>0.1</b></td></tr><tr><td><b>Putting on shoes</b></td><td><b>8.6 (7.1-10.0)</b></td><td><b>8.3 (6.8-9.9)</b></td><td>[EMPTY_CELL]</td><td><b>8.7 (7.2-10.2)</b></td><td><b>0.06</b></td></tr><tr><td><b>Taking off shoes</b></td><td><b>7.8 (6.3-9.4)</b></td><td><b>7.8 (6.8-8.9)</b></td><td>[EMPTY_CELL]</td><td><b>7.0 (6.0-8.0)</b></td><td><b>0.7</b></td></tr><tr><td><b>Domestic activity</b></td><td><b>7.1 (6.2-8.0)</b></td><td><b>7.1 (6.1-8.2)</b></td><td>[EMPTY_CELL]</td><td><b>8.1 (7.1-9.1)</b></td><td><b>0.3</b></td></tr><tr><td><b>Office activity</b></td><td><b>5.9 (5.0-6.9)</b></td><td><b>5.7 (4.8-6.6)</b></td><td>[EMPTY_CELL]</td><td><b>5.6 (4.8-6.5)</b></td><td><b>0.9</b></td></tr><tr><td><b>Walking down a flight of stairs</b></td><td><b>7.7 (6.8-9.0)</b></td><td><b>7.7 (6.5-8.8)</b></td><td>[EMPTY_CELL]</td><td><b>6.5 (5.4-7.1)</b></td><td><b>0.06</b></td></tr><tr><td><b>Walking up a flight of stairs</b></td><td><b>8.8 (7.5-10.2)</b></td><td><b>8.5 (7.3-9.7)</b></td><td>[EMPTY_CELL]</td><td><b>7.2 (6.0-8.4)</b></td><td><b>0.06</b></td></tr><tr><td><b>Walking down a ramp</b></td><td><b>7.7 (6.5-9.0)</b></td><td><b>6.7 (5.9-7.5)</b></td><td>[EMPTY_CELL]</td><td><b>6.4 (5.5-7.3)</b></td><td><b>0.07</b></td></tr><tr><td><b>Walking up a ramp</b></td><td><b>7.8 (7.1-8.5)</b></td><td><b>7.7 (7.0-8.4)</b></td><td>[EMPTY_CELL]</td><td><b>6.7 (5.9-7.5)</b></td><td><b>0.1</b></td></tr><tr><td><b>Walking with 2.5 kg in each hand</b></td><td><b>12.2 (10.7-13.8)</b></td><td><b>12.3 (11.0-13.6)</b></td><td>[EMPTY_CELL]</td><td><b>12.1 (10.4-13.9)</b></td><td><b>0.8</b></td></tr><tr><td><b>Walking with 5.0 kg in one hand</b></td><td><b>13.1 (12.2-14.0)</b></td><td><b>13.2 (11.6-14.8)</b></td><td>[EMPTY_CELL]</td><td><b>12.1 (10.3-13.9)</b></td><td><b>0.4</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Activities/ Severity</b>\", \"bbox\": [1, 14, 33, 37]}, {\"cell\": \"<b>Mild (n=21)</b>\", \"bbox\": [47, 25, 83, 37]}, {\"cell\": \"<b>Moderate (n=30)</b>\", \"bbox\": [92, 14, 123, 37]}, {\"cell\": \"<b>Severe (n=26)</b>\", \"bbox\": [137, 25, 181, 37]}, {\"cell\": \"<b>Very severe (n=23)</b>\", \"bbox\": [182, 14, 220, 37]}, {\"cell\": \"<b>p</b>\", \"bbox\": [227, 25, 233, 37]}, {\"cell\": \"<b>Lateral lying</b>\", \"bbox\": [1, 37, 41, 48]}, {\"cell\": \"<b>3.4 (2.8-3.9)</b>\", \"bbox\": [47, 37, 85, 48]}, {\"cell\": \"<b>2.6 (2.3-3.0)</b>\", \"bbox\": [92, 37, 129, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 37, 174, 48]}, {\"cell\": \"<b>3.0 (2.5-3.6)</b>\", \"bbox\": [182, 37, 219, 48]}, {\"cell\": \"<b>0.3</b>\", \"bbox\": [227, 37, 238, 48]}, {\"cell\": \"<b>Dorsal lying</b>\", \"bbox\": [1, 48, 40, 59]}, {\"cell\": \"<b>3.1 (2.7-3.5)</b>\", \"bbox\": [47, 48, 85, 59]}, {\"cell\": \"<b>3.3 (2.8-3.9)</b>\", \"bbox\": [92, 48, 129, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 48, 174, 59]}, {\"cell\": \"<b>3.2 (2.6-3.7)</b>\", \"bbox\": [182, 48, 219, 59]}, {\"cell\": \"<b>0.7</b>\", \"bbox\": [227, 48, 238, 59]}, {\"cell\": \"<b>Sitting</b>\", \"bbox\": [1, 59, 23, 70]}, {\"cell\": \"<b>3.1 (2.6-3.7)</b>\", \"bbox\": [47, 59, 85, 70]}, {\"cell\": \"<b>3.3 (2.8-3.7)</b>\", \"bbox\": [92, 59, 129, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 59, 174, 70]}, {\"cell\": \"<b>3.5 (2.9-4.0)</b>\", \"bbox\": [182, 59, 219, 70]}, {\"cell\": \"<b>0.6</b>\", \"bbox\": [227, 59, 238, 70]}, {\"cell\": \"<b>Standing</b>\", \"bbox\": [1, 70, 30, 81]}, {\"cell\": \"<b>3.4 (2.9-3.9)</b>\", \"bbox\": [47, 70, 85, 81]}, {\"cell\": \"<b>3.2 (2.9-3.5)</b>\", \"bbox\": [92, 70, 129, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 70, 174, 81]}, {\"cell\": \"<b>4.2 (3.6-4.8)</b>\", \"bbox\": [182, 70, 219, 81]}, {\"cell\": \"<b>0.08</b>\", \"bbox\": [227, 70, 241, 81]}, {\"cell\": \"<b>Morning hygiene</b>\", \"bbox\": [1, 81, 28, 103]}, {\"cell\": \"<b>5.7 (4.0-7.4)</b>\", \"bbox\": [47, 86, 85, 98]}, {\"cell\": \"<b>5.7 (4.8-6.5)</b>\", \"bbox\": [92, 86, 129, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 86, 174, 98]}, {\"cell\": \"<b>6.7 (5.6-7.8)</b>\", \"bbox\": [182, 86, 219, 98]}, {\"cell\": \"<b>0.7</b>\", \"bbox\": [227, 86, 238, 98]}, {\"cell\": \"<b>Bathing</b>\", \"bbox\": [1, 103, 27, 114]}, {\"cell\": \"<b>8.5 (7.3-9.8)</b>\", \"bbox\": [47, 103, 85, 114]}, {\"cell\": \"<b>8.1 (7.1-9.1)</b>\", \"bbox\": [92, 103, 129, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 103, 174, 114]}, {\"cell\": \"<b>9.1 (7.9-10.3)</b>\", \"bbox\": [182, 103, 223, 114]}, {\"cell\": \"<b>0.2</b>\", \"bbox\": [227, 103, 238, 114]}, {\"cell\": \"<b>Putting on clothes</b>\", \"bbox\": [1, 114, 35, 136]}, {\"cell\": \"<b>8.2 (6.3-10.1)</b>\", \"bbox\": [47, 114, 77, 136]}, {\"cell\": \"<b>8.4 (7.0-9.7)</b>\", \"bbox\": [92, 119, 129, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 119, 174, 131]}, {\"cell\": \"<b>8.9 (7.5-10.3)</b>\", \"bbox\": [182, 119, 223, 131]}, {\"cell\": \"<b>0.7</b>\", \"bbox\": [227, 119, 238, 131]}, {\"cell\": \"<b>Taking off clothes</b>\", \"bbox\": [1, 136, 34, 158]}, {\"cell\": \"<b>8.4 (6.5-10.3)</b>\", \"bbox\": [47, 136, 77, 158]}, {\"cell\": \"<b>8.5 (7.1-9.9)</b>\", \"bbox\": [92, 141, 129, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 141, 174, 153]}, {\"cell\": \"<b>6.4 (5.0-7.8)</b>\", \"bbox\": [182, 141, 219, 153]}, {\"cell\": \"<b>0.1</b>\", \"bbox\": [227, 141, 238, 153]}, {\"cell\": \"<b>Putting on shoes</b>\", \"bbox\": [1, 158, 35, 180]}, {\"cell\": \"<b>8.6 (7.1-10.0)</b>\", \"bbox\": [47, 158, 77, 180]}, {\"cell\": \"<b>8.3 (6.8-9.9)</b>\", \"bbox\": [92, 163, 129, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 163, 174, 175]}, {\"cell\": \"<b>8.7 (7.2-10.2)</b>\", \"bbox\": [182, 163, 223, 175]}, {\"cell\": \"<b>0.06</b>\", \"bbox\": [227, 163, 241, 175]}, {\"cell\": \"<b>Taking off shoes</b>\", \"bbox\": [1, 180, 34, 202]}, {\"cell\": \"<b>7.8 (6.3-9.4)</b>\", \"bbox\": [47, 185, 85, 197]}, {\"cell\": \"<b>7.8 (6.8-8.9)</b>\", \"bbox\": [92, 185, 129, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 185, 174, 197]}, {\"cell\": \"<b>7.0 (6.0-8.0)</b>\", \"bbox\": [182, 185, 219, 197]}, {\"cell\": \"<b>0.7</b>\", \"bbox\": [227, 185, 238, 197]}, {\"cell\": \"<b>Domestic activity</b>\", \"bbox\": [1, 202, 32, 224]}, {\"cell\": \"<b>7.1 (6.2-8.0)</b>\", \"bbox\": [47, 207, 85, 219]}, {\"cell\": \"<b>7.1 (6.1-8.2)</b>\", \"bbox\": [92, 207, 129, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 207, 174, 219]}, {\"cell\": \"<b>8.1 (7.1-9.1)</b>\", \"bbox\": [182, 207, 219, 219]}, {\"cell\": \"<b>0.3</b>\", \"bbox\": [227, 207, 238, 219]}, {\"cell\": \"<b>Office activity</b>\", \"bbox\": [1, 224, 25, 246]}, {\"cell\": \"<b>5.9 (5.0-6.9)</b>\", \"bbox\": [47, 229, 85, 241]}, {\"cell\": \"<b>5.7 (4.8-6.6)</b>\", \"bbox\": [92, 229, 129, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 229, 174, 241]}, {\"cell\": \"<b>5.6 (4.8-6.5)</b>\", \"bbox\": [182, 229, 219, 241]}, {\"cell\": \"<b>0.9</b>\", \"bbox\": [227, 229, 238, 241]}, {\"cell\": \"<b>Walking down a flight of stairs</b>\", \"bbox\": [1, 246, 43, 279]}, {\"cell\": \"<b>7.7 (6.8-9.0)</b>\", \"bbox\": [47, 257, 85, 268]}, {\"cell\": \"<b>7.7 (6.5-8.8)</b>\", \"bbox\": [92, 257, 129, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 257, 174, 268]}, {\"cell\": \"<b>6.5 (5.4-7.1)</b>\", \"bbox\": [182, 257, 219, 268]}, {\"cell\": \"<b>0.06</b>\", \"bbox\": [227, 257, 241, 268]}, {\"cell\": \"<b>Walking up a flight of stairs</b>\", \"bbox\": [1, 279, 43, 312]}, {\"cell\": \"<b>8.8 (7.5-10.2)</b>\", \"bbox\": [47, 284, 77, 307]}, {\"cell\": \"<b>8.5 (7.3-9.7)</b>\", \"bbox\": [92, 290, 129, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 290, 174, 301]}, {\"cell\": \"<b>7.2 (6.0-8.4)</b>\", \"bbox\": [182, 290, 219, 301]}, {\"cell\": \"<b>0.06</b>\", \"bbox\": [227, 290, 241, 301]}, {\"cell\": \"<b>Walking down a ramp</b>\", \"bbox\": [1, 312, 43, 334]}, {\"cell\": \"<b>7.7 (6.5-9.0)</b>\", \"bbox\": [47, 317, 85, 329]}, {\"cell\": \"<b>6.7 (5.9-7.5)</b>\", \"bbox\": [92, 317, 129, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 317, 174, 329]}, {\"cell\": \"<b>6.4 (5.5-7.3)</b>\", \"bbox\": [182, 317, 219, 329]}, {\"cell\": \"<b>0.07</b>\", \"bbox\": [227, 317, 241, 329]}, {\"cell\": \"<b>Walking up a ramp</b>\", \"bbox\": [1, 334, 43, 356]}, {\"cell\": \"<b>7.8 (7.1-8.5)</b>\", \"bbox\": [47, 339, 85, 351]}, {\"cell\": \"<b>7.7 (7.0-8.4)</b>\", \"bbox\": [92, 339, 129, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 339, 174, 351]}, {\"cell\": \"<b>6.7 (5.9-7.5)</b>\", \"bbox\": [182, 339, 219, 351]}, {\"cell\": \"<b>0.1</b>\", \"bbox\": [227, 339, 238, 351]}, {\"cell\": \"<b>Walking with 2.5 kg in each hand</b>\", \"bbox\": [1, 356, 42, 389]}, {\"cell\": \"<b>12.2 (10.7-13.8)</b>\", \"bbox\": [47, 361, 81, 384]}, {\"cell\": \"<b>12.3 (11.0-13.6)</b>\", \"bbox\": [92, 361, 126, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 361, 171, 384]}, {\"cell\": \"<b>12.1 (10.4-13.9)</b>\", \"bbox\": [182, 361, 215, 384]}, {\"cell\": \"<b>0.8</b>\", \"bbox\": [227, 367, 238, 378]}, {\"cell\": \"<b>Walking with 5.0 kg in one hand</b>\", \"bbox\": [1, 389, 42, 422]}, {\"cell\": \"<b>13.1 (12.2-14.0)</b>\", \"bbox\": [47, 394, 81, 417]}, {\"cell\": \"<b>13.2 (11.6-14.8)</b>\", \"bbox\": [92, 394, 126, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 394, 171, 417]}, {\"cell\": \"<b>12.1 (10.3-13.9)</b>\", \"bbox\": [182, 394, 215, 417]}, {\"cell\": \"<b>0.4</b>\", \"bbox\": [227, 400, 238, 411]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3835796_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}136{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Group</b></td><td rowspan=\\\"2\\\"><b>Study</b></td><td rowspan=\\\"2\\\"><b>Case (n)</b></td><td rowspan=\\\"2\\\"><b>RR/RR (adjusted)</b></td><td rowspan=\\\"2\\\"><b>95% CI/95% CI (adjusted)</b></td><td rowspan=\\\"2\\\"><b>P/P (adjusted)</b></td><td colspan=\\\"3\\\"><b>Heterogeneity</b></td></tr><tr><td><b>P/P (adjusted)</b></td><td><b>I<sup>2</sup>(%)/I<sup>2</sup>(%) (adjusted)</b></td><td><b>Statistical model</b></td></tr></thead><tbody><tr><td>LR<sup>a</sup></td><td>5</td><td>1751</td><td>1.169/1.19</td><td>[EMPTY_CELL]</td><td>0.424/0.375</td><td>0.824/0.825</td><td>0/0</td><td>Fixed-effects model</td></tr><tr><td>Distant metastasis</td><td>3</td><td>532</td><td>1.348/1.386</td><td>[EMPTY_CELL]</td><td>0.032/0.018</td><td>0.454/0.463</td><td>0/0</td><td>Fixed-effects model</td></tr><tr><td>3-year OS</td><td>2</td><td>264</td><td>0.765/0.786</td><td>[EMPTY_CELL]</td><td>0.062/0.084</td><td>0.424/0.44</td><td>0/0</td><td>Fixed-effects model</td></tr><tr><td>5-year OS</td><td>3</td><td>1202</td><td>0.863/0.893</td><td>[EMPTY_CELL]</td><td>0.117/0.211</td><td>0.389/0.416</td><td>0/0</td><td>Fixed-effects model</td></tr><tr><td>3-year EFS</td><td>3</td><td>404</td><td>0.801/0.827</td><td>[EMPTY_CELL]</td><td>0.032/0.052</td><td>0.604/0.64</td><td>0/0</td><td>Fixed-effects model</td></tr><tr><td>5-year EFS</td><td>3</td><td>1041</td><td>0.829/0.833</td><td>[EMPTY_CELL]</td><td>0.039/0.041</td><td>0.284/0.284</td><td>20.6/20.6</td><td>Fixed-effects model</td></tr><tr><td>LR<sup>b</sup></td><td>6</td><td>224</td><td>0.667/0.76</td><td>[EMPTY_CELL]</td><td>0.251/0.452</td><td>0.685/0.702</td><td>0/0</td><td>Fixed-effects model</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Group</b>\", \"bbox\": [13, 4, 35, 14]}, {\"cell\": \"<b>Study</b>\", \"bbox\": [50, 4, 70, 14]}, {\"cell\": \"<b>Case (n)</b>\", \"bbox\": [77, 4, 95, 24]}, {\"cell\": \"<b>RR/RR (adjusted)</b>\", \"bbox\": [107, 2, 141, 24]}, {\"cell\": \"<b>95% CI/95% CI (adjusted)</b>\", \"bbox\": [154, 2, 241, 14]}, {\"cell\": \"<b>P/P (adjusted)</b>\", \"bbox\": [252, 4, 286, 24]}, {\"cell\": \"<b>Heterogeneity</b>\", \"bbox\": [371, 4, 419, 14]}, {\"cell\": \"<b>P/P (adjusted)</b>\", \"bbox\": [295, 17, 341, 29]}, {\"cell\": \"<b>I<sup>2</sup>(%)/I<sup>2</sup>(%) (adjusted)</b>\", \"bbox\": [348, 17, 423, 29]}, {\"cell\": \"<b>Statistical model</b>\", \"bbox\": [435, 19, 490, 29]}, {\"cell\": \"LR<sup>a</sup>\", \"bbox\": [17, 32, 31, 44]}, {\"cell\": \"5\", \"bbox\": [57, 34, 63, 44]}, {\"cell\": \"1751\", \"bbox\": [77, 34, 95, 44]}, {\"cell\": \"1.169/1.19\", \"bbox\": [106, 32, 142, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 32, 238, 44]}, {\"cell\": \"0.424/0.375\", \"bbox\": [249, 32, 289, 44]}, {\"cell\": \"0.824/0.825\", \"bbox\": [298, 32, 338, 44]}, {\"cell\": \"0/0\", \"bbox\": [379, 34, 392, 44]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 32, 496, 44]}, {\"cell\": \"Distant metastasis\", \"bbox\": [7, 49, 41, 68]}, {\"cell\": \"3\", \"bbox\": [57, 49, 63, 59]}, {\"cell\": \"532\", \"bbox\": [79, 47, 93, 59]}, {\"cell\": \"1.348/1.386\", \"bbox\": [104, 49, 144, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 47, 238, 59]}, {\"cell\": \"0.032/0.018\", \"bbox\": [249, 47, 289, 59]}, {\"cell\": \"0.454/0.463\", \"bbox\": [298, 49, 338, 59]}, {\"cell\": \"0/0\", \"bbox\": [379, 49, 392, 59]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 47, 496, 59]}, {\"cell\": \"3-year OS\", \"bbox\": [7, 76, 41, 86]}, {\"cell\": \"2\", \"bbox\": [57, 74, 63, 86]}, {\"cell\": \"264\", \"bbox\": [79, 74, 93, 86]}, {\"cell\": \"0.765/0.786\", \"bbox\": [104, 76, 144, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 74, 238, 86]}, {\"cell\": \"0.062/0.084\", \"bbox\": [249, 74, 289, 86]}, {\"cell\": \"0.424/0.44\", \"bbox\": [300, 74, 336, 86]}, {\"cell\": \"0/0\", \"bbox\": [379, 76, 392, 86]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 74, 496, 86]}, {\"cell\": \"5-year OS\", \"bbox\": [7, 91, 41, 100]}, {\"cell\": \"3\", \"bbox\": [57, 91, 63, 100]}, {\"cell\": \"1202\", \"bbox\": [77, 89, 95, 101]}, {\"cell\": \"0.863/0.893\", \"bbox\": [104, 89, 144, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 89, 238, 101]}, {\"cell\": \"0.117/0.211\", \"bbox\": [249, 89, 288, 101]}, {\"cell\": \"0.389/0.416\", \"bbox\": [298, 89, 338, 101]}, {\"cell\": \"0/0\", \"bbox\": [379, 91, 392, 100]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 89, 496, 101]}, {\"cell\": \"3-year EFS\", \"bbox\": [5, 104, 43, 116]}, {\"cell\": \"3\", \"bbox\": [57, 106, 63, 115]}, {\"cell\": \"404\", \"bbox\": [79, 106, 93, 115]}, {\"cell\": \"0.801/0.827\", \"bbox\": [104, 104, 144, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 104, 238, 116]}, {\"cell\": \"0.032/0.052\", \"bbox\": [249, 104, 289, 116]}, {\"cell\": \"0.604/0.64\", \"bbox\": [300, 106, 336, 115]}, {\"cell\": \"0/0\", \"bbox\": [379, 106, 392, 115]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 104, 496, 116]}, {\"cell\": \"5-year EFS\", \"bbox\": [5, 119, 43, 131]}, {\"cell\": \"3\", \"bbox\": [57, 121, 63, 130]}, {\"cell\": \"1041\", \"bbox\": [77, 121, 95, 130]}, {\"cell\": \"0.829/0.833\", \"bbox\": [104, 119, 144, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 119, 238, 131]}, {\"cell\": \"0.039/0.041\", \"bbox\": [249, 119, 289, 131]}, {\"cell\": \"0.284/0.284\", \"bbox\": [298, 119, 338, 131]}, {\"cell\": \"20.6/20.6\", \"bbox\": [369, 119, 402, 131]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 119, 496, 131]}, {\"cell\": \"LR<sup>b</sup>\", \"bbox\": [17, 133, 31, 146]}, {\"cell\": \"6\", \"bbox\": [57, 136, 63, 145]}, {\"cell\": \"224\", \"bbox\": [79, 133, 93, 146]}, {\"cell\": \"0.667/0.76\", \"bbox\": [106, 136, 142, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 133, 238, 146]}, {\"cell\": \"0.251/0.452\", \"bbox\": [249, 133, 289, 146]}, {\"cell\": \"0.685/0.702\", \"bbox\": [298, 133, 338, 146]}, {\"cell\": \"0/0\", \"bbox\": [379, 136, 392, 145]}, {\"cell\": \"Fixed-effects model\", \"bbox\": [430, 133, 496, 146]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5641190_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}137{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>SinoMed</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>PubMed</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Biology Basis</b></td><td><b>Detailed Information</b></td></tr><tr><td>[EMPTY_CELL]</td><td>Inflammation</td><td>Apoptosis</td><td>Proto-Oncogene Proteins c-bcl-2, Caspase 3, bcl-2- Associated × Protein, Caspases, Nitric Oxide Synthase, Prostaglandin-Endoperoxide Synthases, Vascular Endothelial Growth Factors</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Leukocytes</td><td>Interleukin-2, Leukotriene B4, Linoleic Acid, Throm-boxane B2, Triglycerides</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Monocytes</td><td>Interleukin-1, Tumor Necrosis Factor-alpha, Interleukin-6, NF-kappa B, Intercellular Adhesion Molecule-1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Cytokines</td><td>Interleukin-6, Tumor Necrosis Factor-alpha, Interleukin-1, Interleukin-10, Thromboxane B2, 6-Ketoprostaglandin F1 alpha, Cyclooxygenase 1, Cyclooxygenase 2, Leukotriene B4, NF-kappa B, Prostaglandin-Endoperoxide Synthases, Toll-Like Receptor 4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Macrophages</td><td>Eicosapentaenoic Acid, Interleukin-2, Prostaglandins E, Tumor Necrosis Factor-alpha, Interleukin-1, Leukotriene B4, Endothelial Growth Factors, Prostaglandin-Endoperoxide Synthases, Thromboxane B2, Vascular Endothelial Growth Factor A, Vascular Endothelial Growth Factors</td></tr><tr><td>[EMPTY_CELL]</td><td>Inflammation</td><td>Apoptosis</td><td>Caspase 3, Tumor Necrosis Factor-alpha, Caspases, NF-kappa B, Proto-Oncogene Proteins c-bcl-2, bcl-2-Associated × Protein, Interleukin-10, Interleukin-6, Nitric Oxide Synthase Type II, Transforming Growth Factor beta1, Tumor Suppressor Protein p53</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Leukocytes</td><td>Cyclooxygenase 1, E-Selectin, Intercellular Adhesion Molecule-1, NF-kappa B, Phospholipases A, Tumor Necrosis Factor-alpha</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Monocytes</td><td>Tumor Necrosis Factor-alpha</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Cytokines</td><td>Interleukin-2, Interleukin-10, Interleukin-6, Interleukin-1, Interleukin-8, Matrix Metalloproteinase 9, Toll-Like Receptor 4, Transforming Growth Factor beta1, Tumor Necrosis Factor-alpha, Vascular Endothelial Growth Factor A</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Macrophages</td><td>Interleukin-1, Interleukin-2, NF-kappa B, Toll-Like Receptor 4</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>SinoMed</b>\", \"bbox\": [1, 4, 33, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>PubMed</b>\", \"bbox\": [136, 4, 166, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 30, 36]}, {\"cell\": \"<b>Biology Basis</b>\", \"bbox\": [61, 17, 109, 27]}, {\"cell\": \"<b>Detailed Information</b>\", \"bbox\": [136, 17, 210, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 32, 49]}, {\"cell\": \"Inflammation\", \"bbox\": [39, 39, 83, 49]}, {\"cell\": \"Apoptosis\", \"bbox\": [87, 39, 121, 49]}, {\"cell\": \"Proto-Oncogene Proteins c-bcl-2, Caspase 3, bcl-2- Associated × Protein, Caspases, Nitric Oxide Synthase, Prostaglandin-Endoperoxide Synthases, Vascular Endothelial Growth Factors\", \"bbox\": [136, 39, 359, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Leukocytes\", \"bbox\": [87, 70, 124, 80]}, {\"cell\": \"Interleukin-2, Leukotriene B4, Linoleic Acid, Throm-boxane B2, Triglycerides\", \"bbox\": [136, 70, 336, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Monocytes\", \"bbox\": [87, 93, 124, 102]}, {\"cell\": \"Interleukin-1, Tumor Necrosis Factor-alpha, Interleukin-6, NF-kappa B, Intercellular Adhesion Molecule-1\", \"bbox\": [136, 93, 358, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cytokines\", \"bbox\": [87, 115, 119, 124]}, {\"cell\": \"Interleukin-6, Tumor Necrosis Factor-alpha, Interleukin-1, Interleukin-10, Thromboxane B2, 6-Ketoprostaglandin F1 alpha, Cyclooxygenase 1, Cyclooxygenase 2, Leukotriene B4, NF-kappa B, Prostaglandin-Endoperoxide Synthases, Toll-Like Receptor 4\", \"bbox\": [136, 115, 357, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Macrophages\", \"bbox\": [87, 155, 132, 164]}, {\"cell\": \"Eicosapentaenoic Acid, Interleukin-2, Prostaglandins E, Tumor Necrosis Factor-alpha, Interleukin-1, Leukotriene B4, Endothelial Growth Factors, Prostaglandin-Endoperoxide Synthases, Thromboxane B2, Vascular Endothelial Growth Factor A, Vascular Endothelial Growth Factors\", \"bbox\": [136, 155, 363, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 204, 35, 214]}, {\"cell\": \"Inflammation\", \"bbox\": [39, 204, 83, 214]}, {\"cell\": \"Apoptosis\", \"bbox\": [87, 204, 121, 214]}, {\"cell\": \"Caspase 3, Tumor Necrosis Factor-alpha, Caspases, NF-kappa B, Proto-Oncogene Proteins c-bcl-2, bcl-2-Associated × Protein, Interleukin-10, Interleukin-6, Nitric Oxide Synthase Type II, Transforming Growth Factor beta1, Tumor Suppressor Protein p53\", \"bbox\": [136, 204, 362, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Leukocytes\", \"bbox\": [87, 244, 124, 254]}, {\"cell\": \"Cyclooxygenase 1, E-Selectin, Intercellular Adhesion Molecule-1, NF-kappa B, Phospholipases A, Tumor Necrosis Factor-alpha\", \"bbox\": [136, 244, 356, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Monocytes\", \"bbox\": [87, 266, 124, 276]}, {\"cell\": \"Tumor Necrosis Factor-alpha\", \"bbox\": [136, 266, 229, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cytokines\", \"bbox\": [87, 279, 119, 289]}, {\"cell\": \"Interleukin-2, Interleukin-10, Interleukin-6, Interleukin-1, Interleukin-8, Matrix Metalloproteinase 9, Toll-Like Receptor 4, Transforming Growth Factor beta1, Tumor Necrosis Factor-alpha, Vascular Endothelial Growth Factor A\", \"bbox\": [136, 279, 362, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Macrophages\", \"bbox\": [87, 320, 132, 329]}, {\"cell\": \"Interleukin-1, Interleukin-2, NF-kappa B, Toll-Like Receptor 4\", \"bbox\": [136, 320, 328, 329]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3141583_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}138{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Province</b></td><td rowspan=\\\"2\\\"><b>District</b></td><td colspan=\\\"2\\\"><b>Main vegetable crops</b></td><td rowspan=\\\"2\\\"><b>Previous surveys (2005)</b></td><td rowspan=\\\"2\\\"><b>Number of farmers sampled (2008)</b></td><td rowspan=\\\"2\\\"><b>Balanced data (farmers)</b></td></tr><tr><td><b>Domestic</b></td><td><b>Export</b></td></tr></thead><tbody><tr><td rowspan=\\\"5\\\">Central</td><td>Kiambu</td><td>Cabbages, kales, and spinach</td><td>[EMPTY_CELL]</td><td>48</td><td>27</td><td>19</td></tr><tr><td>Kirinyaga</td><td>Peas, tomatoes</td><td>French beans</td><td>[EMPTY_CELL]</td><td>74</td><td>66</td></tr><tr><td>Muranga </td><td>Tomatoes, kales</td><td>French beans</td><td>[EMPTY_CELL]</td><td>24</td><td>21</td></tr><tr><td>Nyandarua</td><td>Cabbages, potatoes</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>52</td><td>49</td></tr><tr><td>Nyeri North</td><td>Peas, cabbage, onions, and carrots</td><td>French beans</td><td>[EMPTY_CELL]</td><td>116</td><td>107</td></tr><tr><td rowspan=\\\"2\\\">Eastern</td><td>Makueni</td><td>Cabbages, kales</td><td>[EMPTY_CELL]</td><td>49</td><td>22</td><td>8</td></tr><tr><td>Meru Central</td><td>Peas, tomatoes, cabbage, and onions</td><td>French beans</td><td>[EMPTY_CELL]</td><td>110</td><td>93</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Province</b>\", \"bbox\": [2, 9, 36, 20]}, {\"cell\": \"<b>District</b>\", \"bbox\": [48, 9, 77, 20]}, {\"cell\": \"<b>Main vegetable crops</b>\", \"bbox\": [124, 4, 202, 15]}, {\"cell\": \"<b>Previous surveys (2005)</b>\", \"bbox\": [238, 5, 300, 26]}, {\"cell\": \"<b>Number of farmers sampled (2008)</b>\", \"bbox\": [324, 5, 395, 26]}, {\"cell\": \"<b>Balanced data (farmers)</b>\", \"bbox\": [411, 9, 499, 20]}, {\"cell\": \"<b>Domestic</b>\", \"bbox\": [110, 18, 147, 29]}, {\"cell\": \"<b>Export</b>\", \"bbox\": [188, 17, 214, 28]}, {\"cell\": \"Central\", \"bbox\": [2, 65, 31, 76]}, {\"cell\": \"Kiambu\", \"bbox\": [47, 35, 78, 46]}, {\"cell\": \"Cabbages, kales, and spinach\", \"bbox\": [98, 31, 158, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"48\", \"bbox\": [268, 36, 279, 47]}, {\"cell\": \"27\", \"bbox\": [355, 36, 365, 47]}, {\"cell\": \"19\", \"bbox\": [450, 35, 459, 46]}, {\"cell\": \"Kirinyaga\", \"bbox\": [44, 54, 81, 64]}, {\"cell\": \"Peas, tomatoes\", \"bbox\": [101, 54, 156, 65]}, {\"cell\": \"French beans\", \"bbox\": [176, 54, 226, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 54, 280, 65]}, {\"cell\": \"74\", \"bbox\": [355, 54, 365, 65]}, {\"cell\": \"66\", \"bbox\": [449, 54, 460, 64]}, {\"cell\": \"Muranga \", \"bbox\": [45, 67, 80, 78]}, {\"cell\": \"Tomatoes, kales\", \"bbox\": [99, 68, 158, 78]}, {\"cell\": \"French beans\", \"bbox\": [176, 67, 226, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 68, 278, 78]}, {\"cell\": \"24\", \"bbox\": [355, 68, 365, 78]}, {\"cell\": \"21\", \"bbox\": [450, 67, 459, 78]}, {\"cell\": \"Nyandarua\", \"bbox\": [41, 80, 83, 91]}, {\"cell\": \"Cabbages, potatoes\", \"bbox\": [93, 81, 164, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 81, 280, 92]}, {\"cell\": \"52\", \"bbox\": [355, 81, 365, 92]}, {\"cell\": \"49\", \"bbox\": [449, 80, 460, 91]}, {\"cell\": \"Nyeri North\", \"bbox\": [39, 98, 85, 109]}, {\"cell\": \"Peas, cabbage, onions, and carrots\", \"bbox\": [93, 93, 164, 115]}, {\"cell\": \"French beans\", \"bbox\": [176, 98, 226, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 99, 281, 109]}, {\"cell\": \"116\", \"bbox\": [354, 99, 366, 109]}, {\"cell\": \"107\", \"bbox\": [448, 98, 462, 109]}, {\"cell\": \"Eastern\", \"bbox\": [2, 128, 32, 139]}, {\"cell\": \"Makueni\", \"bbox\": [45, 117, 79, 127]}, {\"cell\": \"Cabbages, kales\", \"bbox\": [99, 118, 157, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 115, 233, 127]}, {\"cell\": \"49\", \"bbox\": [268, 118, 279, 128]}, {\"cell\": \"22\", \"bbox\": [355, 118, 365, 128]}, {\"cell\": \"8\", \"bbox\": [452, 117, 458, 127]}, {\"cell\": \"Meru Central\", \"bbox\": [37, 140, 88, 150]}, {\"cell\": \"Peas, tomatoes, cabbage, and onions\", \"bbox\": [100, 130, 157, 162]}, {\"cell\": \"French beans\", \"bbox\": [176, 140, 226, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 140, 281, 151]}, {\"cell\": \"110\", \"bbox\": [354, 140, 366, 151]}, {\"cell\": \"93\", \"bbox\": [450, 140, 460, 150]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4689878_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}139{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Characteristic</b></td><td colspan=\\\"2\\\"><b>Cataract (<i>n</i> = 409)</b></td><td colspan=\\\"2\\\"><b>No cataracts (<i>n</i> = 8934)</b></td><td rowspan=\\\"3\\\"><b><i>P</i> value</b></td></tr><tr><td><b><i>n</i></b></td><td><b>%</b></td><td><b><i>n</i></b></td><td><b>%</b></td></tr></thead><tbody><tr><td>Male</td><td>141</td><td>34.5</td><td>[EMPTY_CELL]</td><td>49.1</td><td><0.001</td></tr><tr><td>Ethnic Han</td><td>402</td><td>98.3</td><td>[EMPTY_CELL]</td><td>96.0</td><td>0.018</td></tr><tr><td>Age, years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> <65</td><td>63</td><td>15.4</td><td>[EMPTY_CELL]</td><td>32.9</td><td>[EMPTY_CELL]</td></tr><tr><td> 65–69</td><td>93</td><td>22.7</td><td>[EMPTY_CELL]</td><td>25.0</td><td>[EMPTY_CELL]</td></tr><tr><td> 70–74</td><td>82</td><td>20.0</td><td>[EMPTY_CELL]</td><td>15.4</td><td>[EMPTY_CELL]</td></tr><tr><td> 75–79</td><td>84</td><td>20.5</td><td>[EMPTY_CELL]</td><td>13.4</td><td>[EMPTY_CELL]</td></tr><tr><td> 80–84</td><td>58</td><td>14.2</td><td>[EMPTY_CELL]</td><td>8.9</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥85</td><td>29</td><td>7.1</td><td>[EMPTY_CELL]</td><td>4.3</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI, kg/m<sup>2</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.021</td></tr><tr><td> 18.5–24.99</td><td>233</td><td>59.4</td><td>[EMPTY_CELL]</td><td>66.2</td><td>[EMPTY_CELL]</td></tr><tr><td> <18.50</td><td>31</td><td>7.9</td><td>[EMPTY_CELL]</td><td>6.2</td><td>[EMPTY_CELL]</td></tr><tr><td> >24.99</td><td>128</td><td>32.7</td><td>[EMPTY_CELL]</td><td>27.6</td><td>[EMPTY_CELL]</td></tr><tr><td>Education</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.260</td></tr><tr><td> Illiterate or semiliterate</td><td>188</td><td>46.0</td><td>[EMPTY_CELL]</td><td>50.9</td><td>[EMPTY_CELL]</td></tr><tr><td> Primary school</td><td>189</td><td>46.2</td><td>[EMPTY_CELL]</td><td>41.9</td><td>[EMPTY_CELL]</td></tr><tr><td> Junior high school</td><td>26</td><td>6.4</td><td>[EMPTY_CELL]</td><td>6.0</td><td>[EMPTY_CELL]</td></tr><tr><td> High school graduation or higher</td><td>6</td><td>1.5</td><td>[EMPTY_CELL]</td><td>1.2</td><td>[EMPTY_CELL]</td></tr><tr><td>Marital status</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> Unmarried</td><td>3</td><td>0.7</td><td>[EMPTY_CELL]</td><td>1.7</td><td>[EMPTY_CELL]</td></tr><tr><td> Married</td><td>267</td><td>65.3</td><td>[EMPTY_CELL]</td><td>75.7</td><td>[EMPTY_CELL]</td></tr><tr><td> Widowed</td><td>136</td><td>33.3</td><td>[EMPTY_CELL]</td><td>22.2</td><td>[EMPTY_CELL]</td></tr><tr><td> Divorced</td><td>3</td><td>0.7</td><td>[EMPTY_CELL]</td><td>0.4</td><td>[EMPTY_CELL]</td></tr><tr><td>Pesticide exposure</td><td>235</td><td>57.7</td><td>[EMPTY_CELL]</td><td>61.1</td><td>0.170</td></tr><tr><td>Dust exposure</td><td>37</td><td>9.3</td><td>[EMPTY_CELL]</td><td>2.5</td><td><0.001</td></tr><tr><td>Irritant gas exposure</td><td>4</td><td>1.0</td><td>[EMPTY_CELL]</td><td>0.3</td><td>0.006</td></tr><tr><td>Heavy metal exposure</td><td>9</td><td>2.3</td><td>[EMPTY_CELL]</td><td>0.2</td><td><0.001</td></tr><tr><td>Family income, 1000 ¥ per year</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> <10</td><td>82</td><td>20.1</td><td>[EMPTY_CELL]</td><td>22.1</td><td>[EMPTY_CELL]</td></tr><tr><td> 10–49</td><td>255</td><td>62.5</td><td>[EMPTY_CELL]</td><td>48.8</td><td>[EMPTY_CELL]</td></tr><tr><td> 50–99</td><td>46</td><td>11.3</td><td>[EMPTY_CELL]</td><td>14.5</td><td>[EMPTY_CELL]</td></tr><tr><td> 100–149</td><td>16</td><td>3.9</td><td>[EMPTY_CELL]</td><td>9.1</td><td>[EMPTY_CELL]</td></tr><tr><td> 150–199</td><td>3</td><td>0.7</td><td>[EMPTY_CELL]</td><td>3.8</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥200</td><td>6</td><td>1.5</td><td>[EMPTY_CELL]</td><td>1.8</td><td>[EMPTY_CELL]</td></tr><tr><td>Health insurance</td><td>407</td><td>99.5</td><td>[EMPTY_CELL]</td><td>99.6</td><td>0.789</td></tr><tr><td>High blood pressure</td><td>155</td><td>37.9</td><td>[EMPTY_CELL]</td><td>44.4</td><td>0.009</td></tr><tr><td>Hyperlipidemia</td><td>27</td><td>6.6</td><td>[EMPTY_CELL]</td><td>4.8</td><td>0.092</td></tr><tr><td>Diabetes</td><td>40</td><td>9.8</td><td>[EMPTY_CELL]</td><td>8.2</td><td>0.273</td></tr><tr><td>Family history of cataracts</td><td>17</td><td>4.8</td><td>[EMPTY_CELL]</td><td>0.3</td><td><0.001</td></tr><tr><td>Smoking</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> Current smoker</td><td>48</td><td>11.7</td><td>[EMPTY_CELL]</td><td>21.8</td><td>[EMPTY_CELL]</td></tr><tr><td> Ex-smoker</td><td>40</td><td>9.8</td><td>[EMPTY_CELL]</td><td>9.9</td><td>[EMPTY_CELL]</td></tr><tr><td> Nonsmoker</td><td>321</td><td>78.5</td><td>[EMPTY_CELL]</td><td>68.3</td><td>[EMPTY_CELL]</td></tr><tr><td>Alcohol drinking</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.024</td></tr><tr><td> Current drinker</td><td>81</td><td>19.8</td><td>[EMPTY_CELL]</td><td>25.4</td><td>[EMPTY_CELL]</td></tr><tr><td> Ex-drinker</td><td>35</td><td>8.6</td><td>[EMPTY_CELL]</td><td>9.2</td><td>[EMPTY_CELL]</td></tr><tr><td> Nondrinker</td><td>293</td><td>71.6</td><td>[EMPTY_CELL]</td><td>65.3</td><td>[EMPTY_CELL]</td></tr><tr><td>Physical activity</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> None</td><td>267</td><td>65.3</td><td>[EMPTY_CELL]</td><td>82.1</td><td>[EMPTY_CELL]</td></tr><tr><td> 1–3 times per week</td><td>31</td><td>7.6</td><td>[EMPTY_CELL]</td><td>3.2</td><td>[EMPTY_CELL]</td></tr><tr><td> >3 times per week</td><td>111</td><td>27.1</td><td>[EMPTY_CELL]</td><td>14.7</td><td>[EMPTY_CELL]</td></tr><tr><td>Vitamin A<sup>a</sup></td><td>2</td><td>0.5</td><td>[EMPTY_CELL]</td><td>0.2</td><td>0.165</td></tr><tr><td>β-carotene<sup>a</sup></td><td>2</td><td>0.5</td><td>[EMPTY_CELL]</td><td>0.03</td><td><0.001</td></tr><tr><td>Vitamin B<sup>a</sup></td><td>1</td><td>0.2</td><td>[EMPTY_CELL]</td><td>0.1</td><td>0.326</td></tr><tr><td>Vitamin C<sup>a</sup></td><td>2</td><td>0.5</td><td>[EMPTY_CELL]</td><td>0.1</td><td>0.053</td></tr><tr><td>Vitamin E<sup>a</sup></td><td>1</td><td>0.2</td><td>[EMPTY_CELL]</td><td>0.2</td><td>0.719</td></tr><tr><td>Calcium tablets<sup>a</sup></td><td>42</td><td>10.3</td><td>[EMPTY_CELL]</td><td>8.2</td><td>0.132</td></tr><tr><td>Iron<sup>a</sup></td><td>1</td><td>0.2</td><td>[EMPTY_CELL]</td><td>0.2</td><td>0.669</td></tr><tr><td>Tea consumption</td><td>58</td><td>14.2</td><td>[EMPTY_CELL]</td><td>27.6</td><td><0.001</td></tr><tr><td>Type</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> Nondrinker</td><td>351</td><td>85.8</td><td>[EMPTY_CELL]</td><td>72.4</td><td>[EMPTY_CELL]</td></tr><tr><td> Green tea</td><td>43</td><td>10.5</td><td>[EMPTY_CELL]</td><td>21.4</td><td>[EMPTY_CELL]</td></tr><tr><td> Black tea</td><td>8</td><td>2.0</td><td>[EMPTY_CELL]</td><td>5.4</td><td>[EMPTY_CELL]</td></tr><tr><td> Other</td><td>7</td><td>1.7</td><td>[EMPTY_CELL]</td><td>0.9</td><td>[EMPTY_CELL]</td></tr><tr><td>Tea intake, cups per week</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> None</td><td>351</td><td>85.8</td><td>[EMPTY_CELL]</td><td>72.4</td><td>[EMPTY_CELL]</td></tr><tr><td> <14</td><td>19</td><td>4.6</td><td>[EMPTY_CELL]</td><td>6.0</td><td>[EMPTY_CELL]</td></tr><tr><td> 14–27</td><td>21</td><td>5.1</td><td>[EMPTY_CELL]</td><td>10.9</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥28</td><td>18</td><td>4.4</td><td>[EMPTY_CELL]</td><td>10.8</td><td>[EMPTY_CELL]</td></tr><tr><td>Concentration of tea</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> Zero</td><td>351</td><td>85.8</td><td>[EMPTY_CELL]</td><td>72.4</td><td>[EMPTY_CELL]</td></tr><tr><td> Light</td><td>20</td><td>4.9</td><td>[EMPTY_CELL]</td><td>6.5</td><td>[EMPTY_CELL]</td></tr><tr><td> Moderate</td><td>24</td><td>5.9</td><td>[EMPTY_CELL]</td><td>16.3</td><td>[EMPTY_CELL]</td></tr><tr><td> Thick</td><td>14</td><td>3.4</td><td>[EMPTY_CELL]</td><td>4.8</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [3, 14, 41, 21]}, {\"cell\": \"<b>Cataract (<i>n</i> = 409)</b>\", \"bbox\": [102, 7, 152, 14]}, {\"cell\": \"<b>No cataracts (<i>n</i> = 8934)</b>\", \"bbox\": [156, 7, 220, 14]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [225, 14, 247, 21]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [111, 21, 116, 27]}, {\"cell\": \"<b>%</b>\", \"bbox\": [136, 21, 143, 28]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [168, 21, 173, 27]}, {\"cell\": \"<b>%</b>\", \"bbox\": [201, 21, 208, 28]}, {\"cell\": \"Male\", \"bbox\": [3, 35, 17, 43]}, {\"cell\": \"141\", \"bbox\": [107, 35, 119, 43]}, {\"cell\": \"34.5\", \"bbox\": [133, 35, 146, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 35, 178, 43]}, {\"cell\": \"49.1\", \"bbox\": [196, 35, 210, 43]}, {\"cell\": \"<0.001\", \"bbox\": [226, 35, 246, 43]}, {\"cell\": \"Ethnic Han\", \"bbox\": [3, 43, 34, 51]}, {\"cell\": \"402\", \"bbox\": [107, 43, 119, 51]}, {\"cell\": \"98.3\", \"bbox\": [133, 43, 146, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 43, 178, 51]}, {\"cell\": \"96.0\", \"bbox\": [196, 43, 210, 51]}, {\"cell\": \"0.018\", \"bbox\": [230, 43, 246, 51]}, {\"cell\": \"Age, years\", \"bbox\": [3, 51, 33, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 51, 246, 59]}, {\"cell\": \" <65\", \"bbox\": [8, 59, 21, 67]}, {\"cell\": \"63\", \"bbox\": [111, 59, 119, 67]}, {\"cell\": \"15.4\", \"bbox\": [133, 59, 146, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 59, 178, 67]}, {\"cell\": \"32.9\", \"bbox\": [196, 59, 210, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 65–69\", \"bbox\": [8, 67, 27, 75]}, {\"cell\": \"93\", \"bbox\": [111, 67, 119, 75]}, {\"cell\": \"22.7\", \"bbox\": [133, 67, 146, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 67, 178, 75]}, {\"cell\": \"25.0\", \"bbox\": [196, 67, 210, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 70–74\", \"bbox\": [8, 75, 27, 83]}, {\"cell\": \"82\", \"bbox\": [111, 75, 119, 83]}, {\"cell\": \"20.0\", \"bbox\": [133, 75, 146, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 75, 178, 83]}, {\"cell\": \"15.4\", \"bbox\": [196, 75, 210, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 75–79\", \"bbox\": [8, 83, 27, 91]}, {\"cell\": \"84\", \"bbox\": [111, 83, 119, 91]}, {\"cell\": \"20.5\", \"bbox\": [133, 83, 146, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 83, 178, 91]}, {\"cell\": \"13.4\", \"bbox\": [196, 83, 210, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 80–84\", \"bbox\": [8, 91, 27, 99]}, {\"cell\": \"58\", \"bbox\": [111, 91, 119, 99]}, {\"cell\": \"14.2\", \"bbox\": [133, 91, 146, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 91, 178, 99]}, {\"cell\": \"8.9\", \"bbox\": [200, 91, 210, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥85\", \"bbox\": [8, 99, 20, 107]}, {\"cell\": \"29\", \"bbox\": [111, 99, 119, 107]}, {\"cell\": \"7.1\", \"bbox\": [136, 99, 146, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 99, 178, 107]}, {\"cell\": \"4.3\", \"bbox\": [200, 99, 210, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BMI, kg/m<sup>2</sup>\", \"bbox\": [3, 106, 34, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.021\", \"bbox\": [230, 107, 246, 115]}, {\"cell\": \" 18.5–24.99\", \"bbox\": [8, 115, 40, 123]}, {\"cell\": \"233\", \"bbox\": [107, 115, 119, 123]}, {\"cell\": \"59.4\", \"bbox\": [133, 115, 146, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 115, 178, 123]}, {\"cell\": \"66.2\", \"bbox\": [196, 115, 210, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <18.50\", \"bbox\": [8, 123, 29, 131]}, {\"cell\": \"31\", \"bbox\": [111, 123, 119, 131]}, {\"cell\": \"7.9\", \"bbox\": [136, 123, 146, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 123, 178, 131]}, {\"cell\": \"6.2\", \"bbox\": [200, 123, 210, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >24.99\", \"bbox\": [8, 131, 29, 138]}, {\"cell\": \"128\", \"bbox\": [107, 131, 119, 138]}, {\"cell\": \"32.7\", \"bbox\": [133, 131, 146, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 131, 178, 138]}, {\"cell\": \"27.6\", \"bbox\": [196, 131, 210, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education\", \"bbox\": [3, 139, 31, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.260\", \"bbox\": [230, 139, 246, 146]}, {\"cell\": \" Illiterate or semiliterate\", \"bbox\": [8, 147, 70, 154]}, {\"cell\": \"188\", \"bbox\": [107, 147, 119, 154]}, {\"cell\": \"46.0\", \"bbox\": [133, 147, 146, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 147, 178, 154]}, {\"cell\": \"50.9\", \"bbox\": [196, 147, 210, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Primary school\", \"bbox\": [8, 155, 50, 162]}, {\"cell\": \"189\", \"bbox\": [107, 155, 119, 162]}, {\"cell\": \"46.2\", \"bbox\": [133, 155, 146, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 155, 178, 162]}, {\"cell\": \"41.9\", \"bbox\": [196, 155, 210, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Junior high school\", \"bbox\": [8, 163, 59, 170]}, {\"cell\": \"26\", \"bbox\": [111, 163, 119, 170]}, {\"cell\": \"6.4\", \"bbox\": [136, 163, 146, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 163, 178, 170]}, {\"cell\": \"6.0\", \"bbox\": [200, 163, 210, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High school graduation or higher\", \"bbox\": [8, 171, 97, 178]}, {\"cell\": \"6\", \"bbox\": [114, 171, 119, 178]}, {\"cell\": \"1.5\", \"bbox\": [136, 171, 146, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 171, 178, 178]}, {\"cell\": \"1.2\", \"bbox\": [200, 171, 210, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Marital status\", \"bbox\": [3, 179, 40, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 179, 246, 186]}, {\"cell\": \" Unmarried\", \"bbox\": [8, 187, 38, 194]}, {\"cell\": \"3\", \"bbox\": [114, 187, 119, 194]}, {\"cell\": \"0.7\", \"bbox\": [136, 187, 146, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 187, 178, 194]}, {\"cell\": \"1.7\", \"bbox\": [200, 187, 210, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Married\", \"bbox\": [8, 195, 30, 202]}, {\"cell\": \"267\", \"bbox\": [107, 195, 119, 202]}, {\"cell\": \"65.3\", \"bbox\": [133, 195, 146, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 195, 178, 202]}, {\"cell\": \"75.7\", \"bbox\": [196, 195, 210, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Widowed\", \"bbox\": [8, 203, 35, 210]}, {\"cell\": \"136\", \"bbox\": [107, 203, 119, 210]}, {\"cell\": \"33.3\", \"bbox\": [133, 203, 146, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 203, 178, 210]}, {\"cell\": \"22.2\", \"bbox\": [196, 203, 210, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Divorced\", \"bbox\": [8, 211, 34, 218]}, {\"cell\": \"3\", \"bbox\": [114, 211, 119, 218]}, {\"cell\": \"0.7\", \"bbox\": [136, 211, 146, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 211, 178, 218]}, {\"cell\": \"0.4\", \"bbox\": [200, 211, 210, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pesticide exposure\", \"bbox\": [3, 219, 55, 226]}, {\"cell\": \"235\", \"bbox\": [107, 219, 119, 226]}, {\"cell\": \"57.7\", \"bbox\": [133, 219, 146, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 219, 178, 226]}, {\"cell\": \"61.1\", \"bbox\": [196, 219, 210, 226]}, {\"cell\": \"0.170\", \"bbox\": [230, 219, 246, 226]}, {\"cell\": \"Dust exposure\", \"bbox\": [3, 226, 43, 234]}, {\"cell\": \"37\", \"bbox\": [111, 226, 119, 234]}, {\"cell\": \"9.3\", \"bbox\": [136, 226, 146, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 226, 178, 234]}, {\"cell\": \"2.5\", \"bbox\": [200, 226, 210, 234]}, {\"cell\": \"<0.001\", \"bbox\": [226, 226, 246, 234]}, {\"cell\": \"Irritant gas exposure\", \"bbox\": [3, 234, 59, 242]}, {\"cell\": \"4\", \"bbox\": [114, 234, 119, 242]}, {\"cell\": \"1.0\", \"bbox\": [136, 234, 146, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 234, 178, 242]}, {\"cell\": \"0.3\", \"bbox\": [200, 234, 210, 242]}, {\"cell\": \"0.006\", \"bbox\": [230, 234, 246, 242]}, {\"cell\": \"Heavy metal exposure\", \"bbox\": [3, 242, 64, 250]}, {\"cell\": \"9\", \"bbox\": [114, 242, 119, 250]}, {\"cell\": \"2.3\", \"bbox\": [136, 242, 146, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 242, 178, 250]}, {\"cell\": \"0.2\", \"bbox\": [200, 242, 210, 250]}, {\"cell\": \"<0.001\", \"bbox\": [226, 242, 246, 250]}, {\"cell\": \"Family income, 1000 ¥ per year\", \"bbox\": [3, 250, 89, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 250, 246, 258]}, {\"cell\": \" <10\", \"bbox\": [8, 258, 21, 266]}, {\"cell\": \"82\", \"bbox\": [111, 258, 119, 266]}, {\"cell\": \"20.1\", \"bbox\": [133, 258, 146, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 258, 178, 266]}, {\"cell\": \"22.1\", \"bbox\": [196, 258, 210, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 10–49\", \"bbox\": [8, 266, 27, 274]}, {\"cell\": \"255\", \"bbox\": [107, 266, 119, 274]}, {\"cell\": \"62.5\", \"bbox\": [133, 266, 146, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 266, 178, 274]}, {\"cell\": \"48.8\", \"bbox\": [196, 266, 210, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 50–99\", \"bbox\": [8, 274, 27, 282]}, {\"cell\": \"46\", \"bbox\": [111, 274, 119, 282]}, {\"cell\": \"11.3\", \"bbox\": [133, 274, 146, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 274, 178, 282]}, {\"cell\": \"14.5\", \"bbox\": [196, 274, 210, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 100–149\", \"bbox\": [8, 282, 34, 290]}, {\"cell\": \"16\", \"bbox\": [111, 282, 119, 290]}, {\"cell\": \"3.9\", \"bbox\": [136, 282, 146, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 282, 178, 290]}, {\"cell\": \"9.1\", \"bbox\": [200, 282, 210, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 150–199\", \"bbox\": [8, 290, 34, 298]}, {\"cell\": \"3\", \"bbox\": [114, 290, 119, 298]}, {\"cell\": \"0.7\", \"bbox\": [136, 290, 146, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 290, 178, 298]}, {\"cell\": \"3.8\", \"bbox\": [200, 290, 210, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥200\", \"bbox\": [8, 298, 24, 306]}, {\"cell\": \"6\", \"bbox\": [114, 298, 119, 306]}, {\"cell\": \"1.5\", \"bbox\": [136, 298, 146, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 298, 178, 306]}, {\"cell\": \"1.8\", \"bbox\": [200, 298, 210, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Health insurance\", \"bbox\": [3, 306, 49, 314]}, {\"cell\": \"407\", \"bbox\": [107, 306, 119, 314]}, {\"cell\": \"99.5\", \"bbox\": [133, 306, 146, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 306, 178, 314]}, {\"cell\": \"99.6\", \"bbox\": [196, 306, 210, 314]}, {\"cell\": \"0.789\", \"bbox\": [230, 306, 246, 314]}, {\"cell\": \"High blood pressure\", \"bbox\": [3, 314, 58, 322]}, {\"cell\": \"155\", \"bbox\": [107, 314, 119, 322]}, {\"cell\": \"37.9\", \"bbox\": [133, 314, 146, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 314, 178, 322]}, {\"cell\": \"44.4\", \"bbox\": [196, 314, 210, 322]}, {\"cell\": \"0.009\", \"bbox\": [230, 314, 246, 322]}, {\"cell\": \"Hyperlipidemia\", \"bbox\": [3, 322, 44, 330]}, {\"cell\": \"27\", \"bbox\": [111, 322, 119, 330]}, {\"cell\": \"6.6\", \"bbox\": [136, 322, 146, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 322, 178, 330]}, {\"cell\": \"4.8\", \"bbox\": [200, 322, 210, 330]}, {\"cell\": \"0.092\", \"bbox\": [230, 322, 246, 330]}, {\"cell\": \"Diabetes\", \"bbox\": [3, 330, 28, 338]}, {\"cell\": \"40\", \"bbox\": [111, 330, 119, 338]}, {\"cell\": \"9.8\", \"bbox\": [136, 330, 146, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 330, 178, 338]}, {\"cell\": \"8.2\", \"bbox\": [200, 330, 210, 338]}, {\"cell\": \"0.273\", \"bbox\": [230, 330, 246, 338]}, {\"cell\": \"Family history of cataracts\", \"bbox\": [3, 338, 74, 346]}, {\"cell\": \"17\", \"bbox\": [111, 338, 119, 346]}, {\"cell\": \"4.8\", \"bbox\": [136, 338, 146, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 338, 178, 346]}, {\"cell\": \"0.3\", \"bbox\": [200, 338, 210, 346]}, {\"cell\": \"<0.001\", \"bbox\": [226, 338, 246, 346]}, {\"cell\": \"Smoking\", \"bbox\": [3, 346, 28, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 346, 246, 354]}, {\"cell\": \" Current smoker\", \"bbox\": [8, 354, 52, 362]}, {\"cell\": \"48\", \"bbox\": [111, 354, 119, 362]}, {\"cell\": \"11.7\", \"bbox\": [133, 354, 146, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 354, 178, 362]}, {\"cell\": \"21.8\", \"bbox\": [196, 354, 210, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Ex-smoker\", \"bbox\": [8, 362, 39, 370]}, {\"cell\": \"40\", \"bbox\": [111, 362, 119, 370]}, {\"cell\": \"9.8\", \"bbox\": [136, 362, 146, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 362, 178, 370]}, {\"cell\": \"9.9\", \"bbox\": [200, 362, 210, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Nonsmoker\", \"bbox\": [8, 370, 41, 378]}, {\"cell\": \"321\", \"bbox\": [107, 370, 119, 378]}, {\"cell\": \"78.5\", \"bbox\": [133, 370, 146, 378]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 370, 178, 378]}, {\"cell\": \"68.3\", \"bbox\": [196, 370, 210, 378]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alcohol drinking\", \"bbox\": [3, 378, 47, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.024\", \"bbox\": [230, 378, 246, 386]}, {\"cell\": \" Current drinker\", \"bbox\": [8, 386, 50, 394]}, {\"cell\": \"81\", \"bbox\": [111, 386, 119, 394]}, {\"cell\": \"19.8\", \"bbox\": [133, 386, 146, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 386, 178, 394]}, {\"cell\": \"25.4\", \"bbox\": [196, 386, 210, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Ex-drinker\", \"bbox\": [8, 394, 37, 401]}, {\"cell\": \"35\", \"bbox\": [111, 394, 119, 401]}, {\"cell\": \"8.6\", \"bbox\": [136, 394, 146, 401]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 394, 178, 401]}, {\"cell\": \"9.2\", \"bbox\": [200, 394, 210, 401]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Nondrinker\", \"bbox\": [8, 402, 39, 409]}, {\"cell\": \"293\", \"bbox\": [107, 402, 119, 409]}, {\"cell\": \"71.6\", \"bbox\": [133, 402, 146, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 402, 178, 409]}, {\"cell\": \"65.3\", \"bbox\": [196, 402, 210, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Physical activity\", \"bbox\": [3, 410, 47, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 410, 246, 417]}, {\"cell\": \" None\", \"bbox\": [8, 418, 25, 425]}, {\"cell\": \"267\", \"bbox\": [107, 418, 119, 425]}, {\"cell\": \"65.3\", \"bbox\": [133, 418, 146, 425]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 418, 178, 425]}, {\"cell\": \"82.1\", \"bbox\": [196, 418, 210, 425]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 1–3 times per week\", \"bbox\": [8, 426, 63, 433]}, {\"cell\": \"31\", \"bbox\": [111, 426, 119, 433]}, {\"cell\": \"7.6\", \"bbox\": [136, 426, 146, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 426, 178, 433]}, {\"cell\": \"3.2\", \"bbox\": [200, 426, 210, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >3 times per week\", \"bbox\": [8, 434, 60, 441]}, {\"cell\": \"111\", \"bbox\": [108, 434, 119, 441]}, {\"cell\": \"27.1\", \"bbox\": [133, 434, 146, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 434, 178, 441]}, {\"cell\": \"14.7\", \"bbox\": [196, 434, 210, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Vitamin A<sup>a</sup>\", \"bbox\": [3, 441, 32, 449]}, {\"cell\": \"2\", \"bbox\": [114, 442, 119, 449]}, {\"cell\": \"0.5\", \"bbox\": [136, 442, 146, 449]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 442, 178, 449]}, {\"cell\": \"0.2\", \"bbox\": [200, 442, 210, 449]}, {\"cell\": \"0.165\", \"bbox\": [230, 442, 246, 449]}, {\"cell\": \"β-carotene<sup>a</sup>\", \"bbox\": [3, 449, 35, 457]}, {\"cell\": \"2\", \"bbox\": [114, 450, 119, 457]}, {\"cell\": \"0.5\", \"bbox\": [136, 450, 146, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [173, 450, 178, 457]}, {\"cell\": \"0.03\", \"bbox\": [200, 450, 213, 457]}, {\"cell\": \"<0.001\", \"bbox\": [226, 450, 246, 457]}, {\"cell\": \"Vitamin B<sup>a</sup>\", \"bbox\": [3, 457, 32, 465]}, {\"cell\": \"1\", \"bbox\": [114, 458, 119, 465]}, {\"cell\": \"0.2\", \"bbox\": [136, 458, 146, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [173, 458, 178, 465]}, {\"cell\": \"0.1\", \"bbox\": [200, 458, 210, 465]}, {\"cell\": \"0.326\", \"bbox\": [230, 458, 246, 465]}, {\"cell\": \"Vitamin C<sup>a</sup>\", \"bbox\": [3, 465, 33, 473]}, {\"cell\": \"2\", \"bbox\": [114, 466, 119, 473]}, {\"cell\": \"0.5\", \"bbox\": [136, 466, 146, 473]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 466, 178, 473]}, {\"cell\": \"0.1\", \"bbox\": [200, 466, 210, 473]}, {\"cell\": \"0.053\", \"bbox\": [230, 466, 246, 473]}, {\"cell\": \"Vitamin E<sup>a</sup>\", \"bbox\": [3, 473, 32, 481]}, {\"cell\": \"1\", \"bbox\": [114, 474, 119, 481]}, {\"cell\": \"0.2\", \"bbox\": [136, 474, 146, 481]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 474, 178, 481]}, {\"cell\": \"0.2\", \"bbox\": [200, 474, 210, 481]}, {\"cell\": \"0.719\", \"bbox\": [230, 474, 246, 481]}, {\"cell\": \"Calcium tablets<sup>a</sup>\", \"bbox\": [3, 481, 48, 489]}, {\"cell\": \"42\", \"bbox\": [111, 482, 119, 489]}, {\"cell\": \"10.3\", \"bbox\": [133, 482, 146, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 482, 178, 489]}, {\"cell\": \"8.2\", \"bbox\": [200, 482, 210, 489]}, {\"cell\": \"0.132\", \"bbox\": [230, 482, 246, 489]}, {\"cell\": \"Iron<sup>a</sup>\", \"bbox\": [3, 489, 17, 497]}, {\"cell\": \"1\", \"bbox\": [114, 489, 119, 497]}, {\"cell\": \"0.2\", \"bbox\": [136, 489, 146, 497]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 489, 178, 497]}, {\"cell\": \"0.2\", \"bbox\": [200, 489, 210, 497]}, {\"cell\": \"0.669\", \"bbox\": [230, 489, 246, 497]}, {\"cell\": \"Tea consumption\", \"bbox\": [3, 497, 50, 505]}, {\"cell\": \"58\", \"bbox\": [111, 497, 119, 505]}, {\"cell\": \"14.2\", \"bbox\": [133, 497, 146, 505]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 497, 178, 505]}, {\"cell\": \"27.6\", \"bbox\": [196, 497, 210, 505]}, {\"cell\": \"<0.001\", \"bbox\": [226, 497, 246, 505]}, {\"cell\": \"Type\", \"bbox\": [3, 505, 17, 513]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 505, 246, 513]}, {\"cell\": \" Nondrinker\", \"bbox\": [8, 513, 39, 521]}, {\"cell\": \"351\", \"bbox\": [107, 513, 119, 521]}, {\"cell\": \"85.8\", \"bbox\": [133, 513, 146, 521]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 513, 178, 521]}, {\"cell\": \"72.4\", \"bbox\": [196, 513, 210, 521]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Green tea\", \"bbox\": [8, 521, 37, 529]}, {\"cell\": \"43\", \"bbox\": [111, 521, 119, 529]}, {\"cell\": \"10.5\", \"bbox\": [133, 521, 146, 529]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 521, 178, 529]}, {\"cell\": \"21.4\", \"bbox\": [196, 521, 210, 529]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Black tea\", \"bbox\": [8, 529, 35, 537]}, {\"cell\": \"8\", \"bbox\": [114, 529, 119, 537]}, {\"cell\": \"2.0\", \"bbox\": [136, 529, 146, 537]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 529, 178, 537]}, {\"cell\": \"5.4\", \"bbox\": [200, 529, 210, 537]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Other\", \"bbox\": [8, 537, 25, 545]}, {\"cell\": \"7\", \"bbox\": [114, 537, 119, 545]}, {\"cell\": \"1.7\", \"bbox\": [136, 537, 146, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 537, 178, 545]}, {\"cell\": \"0.9\", \"bbox\": [200, 537, 210, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tea intake, cups per week\", \"bbox\": [3, 545, 74, 553]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 545, 246, 553]}, {\"cell\": \" None\", \"bbox\": [8, 553, 25, 561]}, {\"cell\": \"351\", \"bbox\": [107, 553, 119, 561]}, {\"cell\": \"85.8\", \"bbox\": [133, 553, 146, 561]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 553, 178, 561]}, {\"cell\": \"72.4\", \"bbox\": [196, 553, 210, 561]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <14\", \"bbox\": [8, 561, 21, 569]}, {\"cell\": \"19\", \"bbox\": [111, 561, 119, 569]}, {\"cell\": \"4.6\", \"bbox\": [136, 561, 146, 569]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 561, 178, 569]}, {\"cell\": \"6.0\", \"bbox\": [200, 561, 210, 569]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 14–27\", \"bbox\": [8, 569, 27, 577]}, {\"cell\": \"21\", \"bbox\": [111, 569, 119, 577]}, {\"cell\": \"5.1\", \"bbox\": [136, 569, 146, 577]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 569, 178, 577]}, {\"cell\": \"10.9\", \"bbox\": [196, 569, 210, 577]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥28\", \"bbox\": [8, 577, 20, 585]}, {\"cell\": \"18\", \"bbox\": [111, 577, 119, 585]}, {\"cell\": \"4.4\", \"bbox\": [136, 577, 146, 585]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 577, 178, 585]}, {\"cell\": \"10.8\", \"bbox\": [196, 577, 210, 585]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Concentration of tea\", \"bbox\": [3, 585, 58, 593]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [226, 585, 246, 593]}, {\"cell\": \" Zero\", \"bbox\": [8, 593, 23, 601]}, {\"cell\": \"351\", \"bbox\": [107, 593, 119, 601]}, {\"cell\": \"85.8\", \"bbox\": [133, 593, 146, 601]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 593, 178, 601]}, {\"cell\": \"72.4\", \"bbox\": [196, 593, 210, 601]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Light\", \"bbox\": [8, 601, 23, 609]}, {\"cell\": \"20\", \"bbox\": [111, 601, 119, 609]}, {\"cell\": \"4.9\", \"bbox\": [136, 601, 146, 609]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 601, 178, 609]}, {\"cell\": \"6.5\", \"bbox\": [200, 601, 210, 609]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Moderate\", \"bbox\": [8, 609, 35, 617]}, {\"cell\": \"24\", \"bbox\": [111, 609, 119, 617]}, {\"cell\": \"5.9\", \"bbox\": [136, 609, 146, 617]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 609, 178, 617]}, {\"cell\": \"16.3\", \"bbox\": [196, 609, 210, 617]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Thick\", \"bbox\": [8, 617, 25, 625]}, {\"cell\": \"14\", \"bbox\": [111, 617, 119, 625]}, {\"cell\": \"3.4\", \"bbox\": [136, 617, 146, 625]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 617, 178, 625]}, {\"cell\": \"4.8\", \"bbox\": [200, 617, 210, 625]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5083322_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}140{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Cytokines (pg/mL)</b></td><td><b>Normal</b></td><td><b>Control</b></td><td><b>SL25</b></td><td><b>SL50</b></td><td><b>SL100</b></td></tr></thead><tbody><tr><td>IL-6</td><td>58.17 ± 4.54</td><td>25515.17 ± 96.13<sup>#</sup></td><td>24079.17 ± 632.48<sup><i>∗</i></sup></td><td>23759.67 ± 243.89<sup><i>∗∗</i></sup></td><td>[EMPTY_CELL]</td></tr><tr><td>MIP-1<i>α</i></td><td>7259.00 ± 614.07</td><td>27791.33 ± 33.50<sup>#</sup></td><td>25886.33 ± 247.03<sup><i>∗∗</i></sup></td><td>25939.67 ± 58.29<sup><i>∗∗</i></sup></td><td>[EMPTY_CELL]</td></tr><tr><td>MIP-1<i>β</i></td><td>7369.17 ± 2454.09</td><td>2588.00 ± 352.36<sup>#</sup></td><td>24379.50 ± 287.76<sup><i>∗∗</i></sup></td><td>23904.33 ± 386.25<sup><i>∗∗</i></sup></td><td>[EMPTY_CELL]</td></tr><tr><td>MIP-2</td><td>64.33 ± 17.04</td><td>25599.83 ± 68.31<sup>#</sup></td><td>24114.50 ± 494.84<sup><i>∗∗</i></sup></td><td>23695.67 ± 163.49<sup><i>∗∗</i></sup></td><td>[EMPTY_CELL]</td></tr><tr><td>G-CSF</td><td>84.33 ± 32.13</td><td>27370.00 ± 7.00<sup>#</sup></td><td>25154.17 ± 341.76<sup><i>∗∗</i></sup></td><td>24702.50 ± 503.57<sup><i>∗∗</i></sup></td><td>[EMPTY_CELL]</td></tr><tr><td>M-CSF</td><td>40.67 ± 4.62</td><td>77.00 ± 6.08<sup>#</sup></td><td>68.67 ± 7.37</td><td>69.00 ± 5.29</td><td>[EMPTY_CELL]</td></tr><tr><td>GM-CSF</td><td>57.33 ± 3.79</td><td>6185.17 ± 463.36<sup>#</sup></td><td>4947.83 ± 706.00</td><td>4781.00 ± 547.75</td><td>[EMPTY_CELL]</td></tr><tr><td>TNF-<i>α</i></td><td>169.33 ± 17.50</td><td>7013.00 ± 245.35<sup>#</sup></td><td>6393.67 ± 269.24<sup><i>∗</i></sup></td><td>6561.17 ± 656.97</td><td>[EMPTY_CELL]</td></tr><tr><td>LIF</td><td>38.50 ± 4.92</td><td>7757.33 ± 376.11<sup>#</sup></td><td>6878.83 ± 644.82</td><td>6626.33 ± 615.58</td><td>[EMPTY_CELL]</td></tr><tr><td>RANTES</td><td>134.67 ± 19.01</td><td>13871.83 ± 257.82<sup>#</sup></td><td>13535.33 ± 1275.87</td><td>13082.50 ± 907.42</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Cytokines (pg/mL)</b>\", \"bbox\": [2, 4, 73, 15]}, {\"cell\": \"<b>Normal</b>\", \"bbox\": [103, 4, 132, 15]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [184, 4, 214, 15]}, {\"cell\": \"<b>SL25</b>\", \"bbox\": [274, 4, 294, 15]}, {\"cell\": \"<b>SL50</b>\", \"bbox\": [364, 4, 383, 15]}, {\"cell\": \"<b>SL100</b>\", \"bbox\": [451, 4, 474, 15]}, {\"cell\": \"IL-6\", \"bbox\": [2, 17, 20, 27]}, {\"cell\": \"58.17 ± 4.54\", \"bbox\": [95, 14, 139, 29]}, {\"cell\": \"25515.17 ± 96.13<sup>#</sup>\", \"bbox\": [168, 14, 229, 29]}, {\"cell\": \"24079.17 ± 632.48<sup><i>∗</i></sup>\", \"bbox\": [249, 13, 318, 29]}, {\"cell\": \"23759.67 ± 243.89<sup><i>∗∗</i></sup>\", \"bbox\": [337, 13, 410, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 13, 497, 29]}, {\"cell\": \"MIP-1<i>α</i>\", \"bbox\": [2, 26, 31, 41]}, {\"cell\": \"7259.00 ± 614.07\", \"bbox\": [87, 26, 148, 41]}, {\"cell\": \"27791.33 ± 33.50<sup>#</sup>\", \"bbox\": [167, 26, 230, 41]}, {\"cell\": \"25886.33 ± 247.03<sup><i>∗∗</i></sup>\", \"bbox\": [248, 25, 320, 41]}, {\"cell\": \"25939.67 ± 58.29<sup><i>∗∗</i></sup>\", \"bbox\": [339, 25, 408, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 25, 496, 41]}, {\"cell\": \"MIP-1<i>β</i>\", \"bbox\": [2, 38, 32, 54]}, {\"cell\": \"7369.17 ± 2454.09\", \"bbox\": [85, 38, 150, 54]}, {\"cell\": \"2588.00 ± 352.36<sup>#</sup>\", \"bbox\": [166, 38, 231, 54]}, {\"cell\": \"24379.50 ± 287.76<sup><i>∗∗</i></sup>\", \"bbox\": [248, 38, 320, 54]}, {\"cell\": \"23904.33 ± 386.25<sup><i>∗∗</i></sup>\", \"bbox\": [337, 38, 410, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 38, 498, 54]}, {\"cell\": \"MIP-2\", \"bbox\": [2, 54, 28, 65]}, {\"cell\": \"64.33 ± 17.04\", \"bbox\": [94, 51, 141, 66]}, {\"cell\": \"25599.83 ± 68.31<sup>#</sup>\", \"bbox\": [167, 51, 230, 66]}, {\"cell\": \"24114.50 ± 494.84<sup><i>∗∗</i></sup>\", \"bbox\": [248, 50, 320, 66]}, {\"cell\": \"23695.67 ± 163.49<sup><i>∗∗</i></sup>\", \"bbox\": [337, 50, 410, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 50, 496, 66]}, {\"cell\": \"G-CSF\", \"bbox\": [2, 67, 29, 77]}, {\"cell\": \"84.33 ± 32.13\", \"bbox\": [94, 63, 141, 79]}, {\"cell\": \"27370.00 ± 7.00<sup>#</sup>\", \"bbox\": [169, 63, 229, 79]}, {\"cell\": \"25154.17 ± 341.76<sup><i>∗∗</i></sup>\", \"bbox\": [249, 63, 319, 79]}, {\"cell\": \"24702.50 ± 503.57<sup><i>∗∗</i></sup>\", \"bbox\": [337, 63, 410, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 63, 498, 79]}, {\"cell\": \"M-CSF\", \"bbox\": [2, 79, 31, 90]}, {\"cell\": \"40.67 ± 4.62\", \"bbox\": [95, 76, 140, 91]}, {\"cell\": \"77.00 ± 6.08<sup>#</sup>\", \"bbox\": [175, 76, 222, 91]}, {\"cell\": \"68.67 ± 7.37\", \"bbox\": [262, 76, 306, 91]}, {\"cell\": \"69.00 ± 5.29\", \"bbox\": [351, 76, 396, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 76, 485, 91]}, {\"cell\": \"GM-CSF\", \"bbox\": [2, 91, 37, 102]}, {\"cell\": \"57.33 ± 3.79\", \"bbox\": [96, 88, 139, 104]}, {\"cell\": \"6185.17 ± 463.36<sup>#</sup>\", \"bbox\": [167, 88, 230, 104]}, {\"cell\": \"4947.83 ± 706.00\", \"bbox\": [253, 88, 315, 104]}, {\"cell\": \"4781.00 ± 547.75\", \"bbox\": [344, 88, 403, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 88, 495, 104]}, {\"cell\": \"TNF-<i>α</i>\", \"bbox\": [2, 101, 30, 116]}, {\"cell\": \"169.33 ± 17.50\", \"bbox\": [93, 101, 142, 116]}, {\"cell\": \"7013.00 ± 245.35<sup>#</sup>\", \"bbox\": [167, 101, 230, 116]}, {\"cell\": \"6393.67 ± 269.24<sup><i>∗</i></sup>\", \"bbox\": [251, 100, 316, 116]}, {\"cell\": \"6561.17 ± 656.97\", \"bbox\": [344, 101, 403, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 101, 495, 116]}, {\"cell\": \"LIF\", \"bbox\": [2, 116, 17, 127]}, {\"cell\": \"38.50 ± 4.92\", \"bbox\": [95, 113, 140, 129]}, {\"cell\": \"7757.33 ± 376.11<sup>#</sup>\", \"bbox\": [169, 113, 229, 129]}, {\"cell\": \"6878.83 ± 644.82\", \"bbox\": [253, 113, 315, 129]}, {\"cell\": \"6626.33 ± 615.58\", \"bbox\": [343, 113, 404, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [432, 113, 493, 129]}, {\"cell\": \"RANTES\", \"bbox\": [2, 129, 38, 139]}, {\"cell\": \"134.67 ± 19.01\", \"bbox\": [92, 126, 143, 141]}, {\"cell\": \"13871.83 ± 257.82<sup>#</sup>\", \"bbox\": [166, 126, 231, 141]}, {\"cell\": \"13535.33 ± 1275.87\", \"bbox\": [251, 126, 317, 141]}, {\"cell\": \"13082.50 ± 907.42\", \"bbox\": [341, 126, 406, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [430, 126, 495, 141]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4641954_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}141{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Analyte</b></td><td><b>Control</b></td><td><b>VEGF high</b></td><td><b>VEGF low</b></td><td><b><i>P</i> (between groups)</b></td></tr></thead><tbody><tr><td>HDCL</td><td>1.6 ± 0.1</td><td>0.9 ± 0.3</td><td>1.3 ± 0.1</td><td>[EMPTY_CELL]</td></tr><tr><td>Total cholesterol</td><td>3.6 ± 0.1</td><td>4.7 ± 0.3</td><td>3.9 ± 0.1</td><td>[EMPTY_CELL]</td></tr><tr><td>Triglycerides</td><td>1.7 ± 0.2</td><td><sup>&</sup>3.9 ± 0.3</td><td><sup>&</sup>3.2 ± 0.1</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-1b</td><td>0.8 ± 0.1</td><td><sup>&</sup>39.2 ± 5.2</td><td>2.9 ± 0.6</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-1Ra</td><td>31.4 ± 5.5</td><td><sup>&</sup>296.3 ± 83.3</td><td><sup>&</sup>87.6 ± 12.5</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-2</td><td>1.8 ± 0.3</td><td><sup>&</sup>56.2 ± 19.1</td><td>4.2 ± 0.6</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-2Ra</td><td>29.3 ± 3.2</td><td><sup>&</sup>203.1 ± 73.8</td><td><sup>&</sup>101.7 ± 9.2</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-3</td><td>66.6 ± 6.0</td><td><sup>&</sup>166.8 ± 38.6</td><td><sup>&</sup>154.7 ± 15.9</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-4</td><td>1.1 ± 0.1</td><td><sup>&</sup>36.9 ± 4.5</td><td>2.7 ± 0.4</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-5</td><td>1.0 ± 0.2</td><td><sup>&</sup>13.8 ± 2.1</td><td><sup>&</sup>2.3 ± 0.2</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-6</td><td>2.9 ± 0.7</td><td><sup>&</sup>96.5 ± 22.6</td><td><sup>&</sup>11.0 ± 1.1</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-7</td><td>2.1 ± 0.4</td><td><sup>&</sup>31.6 ± 7.2</td><td><sup>&</sup>3.93 ± 0.5</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-8</td><td>37.9 ± 15.7</td><td><sup>&</sup>100.7 ± 23.3</td><td>24.0 ± 2.4</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-9</td><td>3.5 ± 0.5</td><td><sup>&</sup>173.7 ± 43.8</td><td><sup>&</sup>19.5 ± 3.0</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-10</td><td>3.6 ± 0.7</td><td><sup>&</sup>99.2 ± 21.5</td><td><sup>&</sup>20.7 ± 3.9</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-12(p40)</td><td>88.1 ± 12.7</td><td><sup>&</sup>233.2 ± 41.6</td><td><sup>&</sup>228.5 ± 17.6</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-12(p70)</td><td>3.7 ± 0.5</td><td><sup>&</sup>75.7 ± 9.4</td><td>9.5 ± 1.8</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-13</td><td>1.3 ± 0.1</td><td><sup>&</sup>6.5 ± 10.2</td><td><sup>&</sup>6.6 ± 0.7</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-15</td><td>5.4 ± 0.9</td><td><sup>&</sup>91.8 ± 25.2</td><td><sup>&</sup>10.9 ± 1.2</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-17</td><td>2.3 ± 0.6</td><td><sup>&</sup>73.9 ± 15.4</td><td>6.4 ± 1.8</td><td>[EMPTY_CELL]</td></tr><tr><td>IL-18</td><td>8.6 ± 1.5</td><td><sup>&</sup>25.2 ± 5.5</td><td><sup>&</sup>23.4 ± 2.3</td><td>[EMPTY_CELL]</td></tr><tr><td>CCL2</td><td>13.0 ± 1.3</td><td><sup>&</sup>142.5 ± 48.8</td><td><sup>&</sup>25.2 ± 2.7</td><td>[EMPTY_CELL]</td></tr><tr><td>CCL5</td><td>60.9 ± 8.8</td><td><sup>&</sup>6584.9 ± 658.2</td><td>412.7 ± 107.6</td><td>[EMPTY_CELL]</td></tr><tr><td>CCL11</td><td>15.5 ± 2.9</td><td><sup>&</sup>157.5 ± 18.5</td><td><sup>&</sup>33.9 ± 3.5</td><td>[EMPTY_CELL]</td></tr><tr><td>CCL27</td><td>122.7 ± 9.8</td><td><sup>&</sup>39.3 ± 6.6</td><td><sup>&</sup>65.4 ± 5.2</td><td>[EMPTY_CELL]</td></tr><tr><td>CXCL9</td><td>126.3 ± 19.1</td><td><sup>&</sup>1844.2 ± 476.7</td><td><sup>&</sup>1331.7 ± 115.8</td><td>[EMPTY_CELL]</td></tr><tr><td>CXCL10</td><td>49.1 ± 7.2</td><td><sup>&</sup>6741.3 ± 652.5</td><td><sup>&</sup>1058.7 ± 120.4</td><td>[EMPTY_CELL]</td></tr><tr><td>G-CSF</td><td>8.1 ± 0.9</td><td><sup>&</sup>50.9 ± 4.7</td><td>17.7 ± 1.0</td><td>[EMPTY_CELL]</td></tr><tr><td>G-MCSF</td><td>2.6 ± 0.7</td><td><sup>&</sup>474 ± 7.8</td><td><sup>&</sup>6.7 ± 0.8</td><td>[EMPTY_CELL]</td></tr><tr><td>HGF</td><td>95.9 ± 13.7</td><td><sup>&</sup>433.8 ± 59.4</td><td><sup>&</sup>283.0 ± 2.4</td><td>[EMPTY_CELL]</td></tr><tr><td>IFN-<i>γ</i></td><td>32.6 ± 4.4</td><td><sup>&</sup>139.8 ± 32.2</td><td><sup>&</sup>76.4 ± 6.7</td><td>[EMPTY_CELL]</td></tr><tr><td>M-CSF</td><td>1.5 ± 0.1</td><td>11.9 ± 4.9</td><td><sup>&</sup>3.0 ± 0.3</td><td>[EMPTY_CELL]</td></tr><tr><td>MIF</td><td>145.7 ± 25.9</td><td><sup>&</sup>393.1 ± 71.4</td><td><sup>&</sup>342.1 ± 45.1</td><td>[EMPTY_CELL]</td></tr><tr><td>PDGF-b</td><td>144.6 ± 24.0</td><td>15675.3 ± 11482.3</td><td><sup>&</sup>626.6 ± 73.4</td><td>[EMPTY_CELL]</td></tr><tr><td>SCGF</td><td>1569.1 ± 246.8</td><td><sup>&</sup>7425.2 ± 1016.7</td><td><sup>&</sup>5874.4 ± 605.3</td><td>[EMPTY_CELL]</td></tr><tr><td>TRAIL</td><td>15.8 ± 2.5</td><td><sup>&</sup>41.3 ± 6.9</td><td><sup>&</sup>42.2 ± 3.5</td><td>[EMPTY_CELL]</td></tr><tr><td>VEGF</td><td>15.2 ± 2.5</td><td><sup>&</sup>452.3 ± 67.7</td><td><sup>&</sup>28.2 ± 1.8</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Analyte</b>\", \"bbox\": [2, 9, 32, 20]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [116, 9, 146, 20]}, {\"cell\": \"<b>VEGF high</b>\", \"bbox\": [219, 9, 262, 20]}, {\"cell\": \"<b>VEGF low</b>\", \"bbox\": [330, 9, 369, 20]}, {\"cell\": \"<b><i>P</i> (between groups)</b>\", \"bbox\": [440, 1, 482, 25]}, {\"cell\": \"HDCL\", \"bbox\": [2, 28, 29, 39]}, {\"cell\": \"1.6 ± 0.1\", \"bbox\": [115, 25, 147, 40]}, {\"cell\": \"0.9 ± 0.3\", \"bbox\": [224, 25, 256, 40]}, {\"cell\": \"1.3 ± 0.1\", \"bbox\": [333, 25, 365, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 24, 473, 39]}, {\"cell\": \"Total cholesterol\", \"bbox\": [2, 40, 43, 62]}, {\"cell\": \"3.6 ± 0.1\", \"bbox\": [115, 42, 147, 58]}, {\"cell\": \"4.7 ± 0.3\", \"bbox\": [224, 42, 256, 58]}, {\"cell\": \"3.9 ± 0.1\", \"bbox\": [333, 42, 365, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 42, 471, 56]}, {\"cell\": \"Triglycerides\", \"bbox\": [2, 64, 51, 75]}, {\"cell\": \"1.7 ± 0.2\", \"bbox\": [115, 61, 147, 76]}, {\"cell\": \"<sup>&</sup>3.9 ± 0.3\", \"bbox\": [221, 61, 259, 76]}, {\"cell\": \"<sup>&</sup>3.2 ± 0.1\", \"bbox\": [331, 61, 368, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 60, 471, 75]}, {\"cell\": \"IL-1b\", \"bbox\": [2, 78, 23, 89]}, {\"cell\": \"0.8 ± 0.1\", \"bbox\": [115, 75, 147, 90]}, {\"cell\": \"<sup>&</sup>39.2 ± 5.2\", \"bbox\": [219, 75, 261, 90]}, {\"cell\": \"2.9 ± 0.6\", \"bbox\": [333, 75, 365, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 74, 475, 89]}, {\"cell\": \"IL-1Ra\", \"bbox\": [2, 91, 28, 102]}, {\"cell\": \"31.4 ± 5.5\", \"bbox\": [113, 88, 149, 103]}, {\"cell\": \"<sup>&</sup>296.3 ± 83.3\", \"bbox\": [215, 88, 265, 103]}, {\"cell\": \"<sup>&</sup>87.6 ± 12.5\", \"bbox\": [326, 88, 372, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 87, 473, 102]}, {\"cell\": \"IL-2\", \"bbox\": [2, 104, 20, 115]}, {\"cell\": \"1.8 ± 0.3\", \"bbox\": [115, 101, 147, 117]}, {\"cell\": \"<sup>&</sup>56.2 ± 19.1\", \"bbox\": [217, 101, 263, 117]}, {\"cell\": \"4.2 ± 0.6\", \"bbox\": [333, 101, 365, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 100, 475, 115]}, {\"cell\": \"IL-2Ra\", \"bbox\": [2, 118, 29, 128]}, {\"cell\": \"29.3 ± 3.2\", \"bbox\": [113, 114, 149, 130]}, {\"cell\": \"<sup>&</sup>203.1 ± 73.8\", \"bbox\": [215, 114, 265, 130]}, {\"cell\": \"<sup>&</sup>101.7 ± 9.2\", \"bbox\": [326, 114, 372, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 114, 471, 128]}, {\"cell\": \"IL-3\", \"bbox\": [2, 131, 20, 142]}, {\"cell\": \"66.6 ± 6.0\", \"bbox\": [113, 128, 149, 143]}, {\"cell\": \"<sup>&</sup>166.8 ± 38.6\", \"bbox\": [215, 128, 265, 143]}, {\"cell\": \"<sup>&</sup>154.7 ± 15.9\", \"bbox\": [324, 128, 374, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-4\", \"bbox\": [2, 144, 20, 155]}, {\"cell\": \"1.1 ± 0.1\", \"bbox\": [115, 141, 147, 156]}, {\"cell\": \"<sup>&</sup>36.9 ± 4.5\", \"bbox\": [219, 141, 261, 156]}, {\"cell\": \"2.7 ± 0.4\", \"bbox\": [333, 141, 365, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 140, 475, 155]}, {\"cell\": \"IL-5\", \"bbox\": [2, 157, 20, 168]}, {\"cell\": \"1.0 ± 0.2\", \"bbox\": [115, 154, 147, 170]}, {\"cell\": \"<sup>&</sup>13.8 ± 2.1\", \"bbox\": [219, 154, 261, 170]}, {\"cell\": \"<sup>&</sup>2.3 ± 0.2\", \"bbox\": [331, 154, 368, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 153, 475, 168]}, {\"cell\": \"IL-6\", \"bbox\": [2, 171, 20, 181]}, {\"cell\": \"2.9 ± 0.7\", \"bbox\": [115, 167, 147, 183]}, {\"cell\": \"<sup>&</sup>96.5 ± 22.6\", \"bbox\": [217, 167, 263, 183]}, {\"cell\": \"<sup>&</sup>11.0 ± 1.1\", \"bbox\": [328, 167, 370, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 167, 475, 181]}, {\"cell\": \"IL-7\", \"bbox\": [2, 184, 20, 195]}, {\"cell\": \"2.1 ± 0.4\", \"bbox\": [115, 181, 147, 196]}, {\"cell\": \"<sup>&</sup>31.6 ± 7.2\", \"bbox\": [219, 181, 261, 196]}, {\"cell\": \"<sup>&</sup>3.93 ± 0.5\", \"bbox\": [329, 181, 370, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 180, 475, 195]}, {\"cell\": \"IL-8\", \"bbox\": [2, 197, 20, 208]}, {\"cell\": \"37.9 ± 15.7\", \"bbox\": [110, 194, 152, 209]}, {\"cell\": \"<sup>&</sup>100.7 ± 23.3\", \"bbox\": [215, 194, 265, 209]}, {\"cell\": \"24.0 ± 2.4\", \"bbox\": [331, 194, 368, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 193, 475, 208]}, {\"cell\": \"IL-9\", \"bbox\": [2, 210, 20, 221]}, {\"cell\": \"3.5 ± 0.5\", \"bbox\": [115, 207, 147, 223]}, {\"cell\": \"<sup>&</sup>173.7 ± 43.8\", \"bbox\": [215, 207, 265, 223]}, {\"cell\": \"<sup>&</sup>19.5 ± 3.0\", \"bbox\": [328, 207, 370, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 206, 475, 221]}, {\"cell\": \"IL-10\", \"bbox\": [2, 224, 23, 234]}, {\"cell\": \"3.6 ± 0.7\", \"bbox\": [115, 220, 147, 236]}, {\"cell\": \"<sup>&</sup>99.2 ± 21.5\", \"bbox\": [217, 220, 263, 236]}, {\"cell\": \"<sup>&</sup>20.7 ± 3.9\", \"bbox\": [328, 220, 370, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 220, 475, 234]}, {\"cell\": \"IL-12(p40)\", \"bbox\": [2, 237, 43, 248]}, {\"cell\": \"88.1 ± 12.7\", \"bbox\": [110, 234, 152, 249]}, {\"cell\": \"<sup>&</sup>233.2 ± 41.6\", \"bbox\": [215, 234, 265, 249]}, {\"cell\": \"<sup>&</sup>228.5 ± 17.6\", \"bbox\": [324, 234, 374, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-12(p70)\", \"bbox\": [2, 250, 42, 261]}, {\"cell\": \"3.7 ± 0.5\", \"bbox\": [115, 247, 147, 262]}, {\"cell\": \"<sup>&</sup>75.7 ± 9.4\", \"bbox\": [219, 247, 261, 262]}, {\"cell\": \"9.5 ± 1.8\", \"bbox\": [333, 247, 365, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 246, 475, 261]}, {\"cell\": \"IL-13\", \"bbox\": [2, 263, 23, 274]}, {\"cell\": \"1.3 ± 0.1\", \"bbox\": [115, 260, 147, 276]}, {\"cell\": \"<sup>&</sup>6.5 ± 10.2\", \"bbox\": [219, 260, 261, 276]}, {\"cell\": \"<sup>&</sup>6.6 ± 0.7\", \"bbox\": [331, 260, 368, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 259, 475, 274]}, {\"cell\": \"IL-15\", \"bbox\": [2, 277, 23, 287]}, {\"cell\": \"5.4 ± 0.9\", \"bbox\": [115, 273, 147, 289]}, {\"cell\": \"<sup>&</sup>91.8 ± 25.2\", \"bbox\": [217, 273, 263, 289]}, {\"cell\": \"<sup>&</sup>10.9 ± 1.2\", \"bbox\": [328, 273, 370, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 273, 475, 287]}, {\"cell\": \"IL-17\", \"bbox\": [2, 290, 23, 301]}, {\"cell\": \"2.3 ± 0.6\", \"bbox\": [115, 287, 147, 302]}, {\"cell\": \"<sup>&</sup>73.9 ± 15.4\", \"bbox\": [217, 287, 263, 302]}, {\"cell\": \"6.4 ± 1.8\", \"bbox\": [333, 287, 365, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 286, 475, 301]}, {\"cell\": \"IL-18\", \"bbox\": [2, 303, 23, 314]}, {\"cell\": \"8.6 ± 1.5\", \"bbox\": [115, 300, 147, 315]}, {\"cell\": \"<sup>&</sup>25.2 ± 5.5\", \"bbox\": [219, 300, 261, 315]}, {\"cell\": \"<sup>&</sup>23.4 ± 2.3\", \"bbox\": [328, 300, 370, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CCL2\", \"bbox\": [2, 316, 25, 327]}, {\"cell\": \"13.0 ± 1.3\", \"bbox\": [113, 313, 149, 329]}, {\"cell\": \"<sup>&</sup>142.5 ± 48.8\", \"bbox\": [215, 313, 265, 329]}, {\"cell\": \"<sup>&</sup>25.2 ± 2.7\", \"bbox\": [328, 313, 370, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 312, 475, 327]}, {\"cell\": \"CCL5\", \"bbox\": [2, 330, 25, 340]}, {\"cell\": \"60.9 ± 8.8\", \"bbox\": [113, 326, 149, 342]}, {\"cell\": \"<sup>&</sup>6584.9 ± 658.2\", \"bbox\": [211, 326, 270, 342]}, {\"cell\": \"412.7 ± 107.6\", \"bbox\": [324, 326, 374, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 326, 475, 340]}, {\"cell\": \"CCL11\", \"bbox\": [2, 343, 27, 354]}, {\"cell\": \"15.5 ± 2.9\", \"bbox\": [113, 340, 149, 355]}, {\"cell\": \"<sup>&</sup>157.5 ± 18.5\", \"bbox\": [215, 340, 265, 355]}, {\"cell\": \"<sup>&</sup>33.9 ± 3.5\", \"bbox\": [328, 340, 370, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 339, 475, 354]}, {\"cell\": \"CCL27\", \"bbox\": [2, 356, 30, 367]}, {\"cell\": \"122.7 ± 9.8\", \"bbox\": [110, 353, 152, 368]}, {\"cell\": \"<sup>&</sup>39.3 ± 6.6\", \"bbox\": [219, 353, 261, 368]}, {\"cell\": \"<sup>&</sup>65.4 ± 5.2\", \"bbox\": [328, 353, 370, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 352, 471, 367]}, {\"cell\": \"CXCL9\", \"bbox\": [2, 369, 31, 380]}, {\"cell\": \"126.3 ± 19.1\", \"bbox\": [108, 366, 154, 382]}, {\"cell\": \"<sup>&</sup>1844.2 ± 476.7\", \"bbox\": [211, 366, 270, 382]}, {\"cell\": \"<sup>&</sup>1331.7 ± 115.8\", \"bbox\": [320, 366, 379, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CXCL10\", \"bbox\": [2, 383, 34, 393]}, {\"cell\": \"49.1 ± 7.2\", \"bbox\": [113, 379, 149, 395]}, {\"cell\": \"<sup>&</sup>6741.3 ± 652.5\", \"bbox\": [211, 379, 270, 395]}, {\"cell\": \"<sup>&</sup>1058.7 ± 120.4\", \"bbox\": [320, 379, 379, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 379, 475, 393]}, {\"cell\": \"G-CSF\", \"bbox\": [2, 396, 29, 407]}, {\"cell\": \"8.1 ± 0.9\", \"bbox\": [115, 393, 147, 408]}, {\"cell\": \"<sup>&</sup>50.9 ± 4.7\", \"bbox\": [219, 393, 261, 408]}, {\"cell\": \"17.7 ± 1.0\", \"bbox\": [331, 393, 368, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 392, 475, 407]}, {\"cell\": \"G-MCSF\", \"bbox\": [2, 409, 37, 420]}, {\"cell\": \"2.6 ± 0.7\", \"bbox\": [115, 406, 147, 421]}, {\"cell\": \"<sup>&</sup>474 ± 7.8\", \"bbox\": [220, 406, 260, 421]}, {\"cell\": \"<sup>&</sup>6.7 ± 0.8\", \"bbox\": [331, 406, 368, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 405, 475, 420]}, {\"cell\": \"HGF\", \"bbox\": [2, 422, 22, 433]}, {\"cell\": \"95.9 ± 13.7\", \"bbox\": [110, 419, 152, 435]}, {\"cell\": \"<sup>&</sup>433.8 ± 59.4\", \"bbox\": [215, 419, 265, 435]}, {\"cell\": \"<sup>&</sup>283.0 ± 2.4\", \"bbox\": [326, 419, 372, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 418, 471, 433]}, {\"cell\": \"IFN-<i>γ</i>\", \"bbox\": [2, 432, 27, 448]}, {\"cell\": \"32.6 ± 4.4\", \"bbox\": [113, 432, 149, 448]}, {\"cell\": \"<sup>&</sup>139.8 ± 32.2\", \"bbox\": [215, 432, 265, 448]}, {\"cell\": \"<sup>&</sup>76.4 ± 6.7\", \"bbox\": [328, 432, 370, 448]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 432, 471, 446]}, {\"cell\": \"M-CSF\", \"bbox\": [2, 449, 31, 460]}, {\"cell\": \"1.5 ± 0.1\", \"bbox\": [115, 446, 147, 461]}, {\"cell\": \"11.9 ± 4.9\", \"bbox\": [222, 446, 259, 461]}, {\"cell\": \"<sup>&</sup>3.0 ± 0.3\", \"bbox\": [331, 446, 368, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MIF\", \"bbox\": [2, 462, 20, 473]}, {\"cell\": \"145.7 ± 25.9\", \"bbox\": [108, 459, 154, 474]}, {\"cell\": \"<sup>&</sup>393.1 ± 71.4\", \"bbox\": [215, 459, 265, 474]}, {\"cell\": \"<sup>&</sup>342.1 ± 45.1\", \"bbox\": [324, 459, 374, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PDGF-b\", \"bbox\": [3, 475, 35, 486]}, {\"cell\": \"144.6 ± 24.0\", \"bbox\": [108, 472, 154, 488]}, {\"cell\": \"15675.3 ± 11482.3\", \"bbox\": [207, 472, 273, 488]}, {\"cell\": \"<sup>&</sup>626.6 ± 73.4\", \"bbox\": [324, 472, 374, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 472, 471, 486]}, {\"cell\": \"SCGF\", \"bbox\": [3, 489, 26, 499]}, {\"cell\": \"1569.1 ± 246.8\", \"bbox\": [104, 486, 158, 501]}, {\"cell\": \"<sup>&</sup>7425.2 ± 1016.7\", \"bbox\": [209, 486, 272, 501]}, {\"cell\": \"<sup>&</sup>5874.4 ± 605.3\", \"bbox\": [320, 486, 379, 501]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TRAIL\", \"bbox\": [3, 502, 30, 513]}, {\"cell\": \"15.8 ± 2.5\", \"bbox\": [113, 499, 149, 514]}, {\"cell\": \"<sup>&</sup>41.3 ± 6.9\", \"bbox\": [219, 499, 261, 514]}, {\"cell\": \"<sup>&</sup>42.2 ± 3.5\", \"bbox\": [328, 499, 370, 514]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"VEGF\", \"bbox\": [3, 515, 27, 526]}, {\"cell\": \"15.2 ± 2.5\", \"bbox\": [113, 512, 149, 527]}, {\"cell\": \"<sup>&</sup>452.3 ± 67.7\", \"bbox\": [215, 512, 265, 527]}, {\"cell\": \"<sup>&</sup>28.2 ± 1.8\", \"bbox\": [328, 512, 370, 527]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 511, 475, 526]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5178363_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}142{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>SUA < 3 mg/dL</b></td><td colspan=\\\"4\\\"><b>SUA < 4 mg/dL</b></td></tr><tr><td><b>Genotype</b></td><td>[EMPTY_CELL]</td><td><b>3 mg/dL ≤</b></td><td><b>OR</b></td><td><b>95% CI</b></td><td>[EMPTY_CELL]</td><td><b>4 mg/dL ≤</b></td><td><b>OR</b></td><td><b>95% CI</b></td></tr></thead><tbody><tr><td>Males</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>WW</i></td><td>4</td><td>3,252</td><td>[EMPTY_CELL]</td><td>Reference</td><td>55</td><td>3,201</td><td>1</td><td>Reference</td></tr><tr><td> <i>WX </i>or <i>XX</i></td><td>17</td><td>140</td><td>[EMPTY_CELL]</td><td>33.9-309.8</td><td>79</td><td>78</td><td>58.2</td><td>38.6-87.9</td></tr><tr><td> Total</td><td>21</td><td>3,392</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>157</td><td>3,279</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Females</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>WW</i></td><td>53</td><td>1,484</td><td>[EMPTY_CELL]</td><td>Reference</td><td>436</td><td>1,101</td><td>1</td><td>Reference</td></tr><tr><td> <i>WX </i>or <i>XX</i></td><td>31</td><td>42</td><td>[EMPTY_CELL]</td><td>14.4-45.3</td><td>58</td><td>15</td><td>11.9</td><td>6.6-21.5</td></tr><tr><td> Total</td><td>84</td><td>1,526</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>494</td><td>1,116</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Both sexes</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Males with <i>WW</i></td><td>4</td><td>3,252</td><td>[EMPTY_CELL]</td><td>Reference</td><td>55</td><td>3,201</td><td>1</td><td>Reference</td></tr><tr><td> Males with <i>WX </i>or <i>XX</i></td><td>17</td><td>140</td><td>[EMPTY_CELL]</td><td>35.3-321.6</td><td>79</td><td>78</td><td>63.7</td><td>42.0-96.5</td></tr><tr><td> Females with <i>WW</i></td><td>53</td><td>1,484</td><td>[EMPTY_CELL]</td><td>9.8-75.4</td><td>436</td><td>1,101</td><td>22.4</td><td>16.8-29.9</td></tr><tr><td> Females with <i>WX </i>or <i>XX</i></td><td>31</td><td>42</td><td>[EMPTY_CELL]</td><td>225.4-2006.8</td><td>58</td><td>15</td><td>246.3</td><td>130.9-363.7</td></tr><tr><td> Interaction*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.07-0.80</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.17</td><td>0.08-0.35</td></tr><tr><td> Total</td><td>105</td><td>4,918</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>628</td><td>4,395</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>SUA < 3 mg/dL</b>\", \"bbox\": [173, 4, 228, 13]}, {\"cell\": \"<b>SUA < 4 mg/dL</b>\", \"bbox\": [364, 4, 420, 13]}, {\"cell\": \"<b>Genotype</b>\", \"bbox\": [1, 17, 36, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 17, 152, 27]}, {\"cell\": \"<b>3 mg/dL ≤</b>\", \"bbox\": [165, 17, 204, 27]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [220, 17, 232, 27]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [257, 17, 283, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 17, 345, 27]}, {\"cell\": \"<b>4 mg/dL ≤</b>\", \"bbox\": [358, 17, 397, 27]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [414, 17, 426, 27]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [448, 17, 474, 27]}, {\"cell\": \"Males\", \"bbox\": [1, 30, 21, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>WW</i>\", \"bbox\": [15, 43, 30, 50]}, {\"cell\": \"4\", \"bbox\": [128, 42, 134, 51]}, {\"cell\": \"3,252\", \"bbox\": [175, 42, 194, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 42, 229, 51]}, {\"cell\": \"Reference\", \"bbox\": [253, 42, 286, 51]}, {\"cell\": \"55\", \"bbox\": [320, 42, 329, 51]}, {\"cell\": \"3,201\", \"bbox\": [368, 42, 387, 51]}, {\"cell\": \"1\", \"bbox\": [417, 42, 423, 51]}, {\"cell\": \"Reference\", \"bbox\": [444, 42, 478, 51]}, {\"cell\": \" <i>WX </i>or <i>XX</i>\", \"bbox\": [15, 54, 47, 63]}, {\"cell\": \"17\", \"bbox\": [126, 54, 136, 63]}, {\"cell\": \"140\", \"bbox\": [178, 54, 191, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 54, 236, 63]}, {\"cell\": \"33.9-309.8\", \"bbox\": [253, 54, 287, 63]}, {\"cell\": \"79\", \"bbox\": [320, 54, 329, 63]}, {\"cell\": \"78\", \"bbox\": [373, 54, 383, 63]}, {\"cell\": \"58.2\", \"bbox\": [412, 54, 427, 63]}, {\"cell\": \"38.6-87.9\", \"bbox\": [446, 54, 476, 63]}, {\"cell\": \" Total\", \"bbox\": [16, 66, 33, 75]}, {\"cell\": \"21\", \"bbox\": [126, 66, 136, 75]}, {\"cell\": \"3,392\", \"bbox\": [175, 66, 194, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"157\", \"bbox\": [318, 66, 331, 75]}, {\"cell\": \"3,279\", \"bbox\": [368, 66, 387, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Females\", \"bbox\": [1, 90, 28, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>WW</i>\", \"bbox\": [15, 103, 30, 110]}, {\"cell\": \"53\", \"bbox\": [126, 102, 136, 111]}, {\"cell\": \"1,484\", \"bbox\": [175, 102, 194, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 102, 229, 111]}, {\"cell\": \"Reference\", \"bbox\": [253, 102, 286, 111]}, {\"cell\": \"436\", \"bbox\": [318, 102, 331, 111]}, {\"cell\": \"1,101\", \"bbox\": [368, 102, 387, 111]}, {\"cell\": \"1\", \"bbox\": [417, 102, 423, 111]}, {\"cell\": \"Reference\", \"bbox\": [444, 102, 478, 111]}, {\"cell\": \" <i>WX </i>or <i>XX</i>\", \"bbox\": [15, 114, 47, 123]}, {\"cell\": \"31\", \"bbox\": [126, 114, 136, 123]}, {\"cell\": \"42\", \"bbox\": [180, 114, 189, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 114, 234, 123]}, {\"cell\": \"14.4-45.3\", \"bbox\": [255, 114, 285, 123]}, {\"cell\": \"58\", \"bbox\": [320, 114, 329, 123]}, {\"cell\": \"15\", \"bbox\": [373, 114, 383, 123]}, {\"cell\": \"11.9\", \"bbox\": [412, 114, 427, 123]}, {\"cell\": \"6.6-21.5\", \"bbox\": [448, 114, 474, 123]}, {\"cell\": \" Total\", \"bbox\": [15, 126, 33, 135]}, {\"cell\": \"84\", \"bbox\": [126, 126, 136, 135]}, {\"cell\": \"1,526\", \"bbox\": [175, 126, 194, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"494\", \"bbox\": [318, 126, 331, 135]}, {\"cell\": \"1,116\", \"bbox\": [368, 126, 387, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Both sexes\", \"bbox\": [1, 150, 37, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Males with <i>WW</i>\", \"bbox\": [15, 162, 68, 171]}, {\"cell\": \"4\", \"bbox\": [128, 162, 134, 171]}, {\"cell\": \"3,252\", \"bbox\": [175, 162, 194, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 162, 229, 171]}, {\"cell\": \"Reference\", \"bbox\": [253, 162, 286, 171]}, {\"cell\": \"55\", \"bbox\": [320, 162, 329, 171]}, {\"cell\": \"3,201\", \"bbox\": [368, 162, 387, 171]}, {\"cell\": \"1\", \"bbox\": [417, 162, 422, 171]}, {\"cell\": \"Reference\", \"bbox\": [444, 162, 478, 171]}, {\"cell\": \" Males with <i>WX </i>or <i>XX</i>\", \"bbox\": [15, 174, 85, 183]}, {\"cell\": \"17\", \"bbox\": [126, 174, 136, 183]}, {\"cell\": \"140\", \"bbox\": [178, 174, 191, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 174, 236, 183]}, {\"cell\": \"35.3-321.6\", \"bbox\": [253, 174, 287, 183]}, {\"cell\": \"79\", \"bbox\": [320, 174, 329, 183]}, {\"cell\": \"78\", \"bbox\": [373, 174, 382, 183]}, {\"cell\": \"63.7\", \"bbox\": [412, 174, 427, 183]}, {\"cell\": \"42.0-96.5\", \"bbox\": [446, 174, 476, 183]}, {\"cell\": \" Females with <i>WW</i>\", \"bbox\": [15, 186, 75, 195]}, {\"cell\": \"53\", \"bbox\": [126, 186, 136, 195]}, {\"cell\": \"1,484\", \"bbox\": [175, 186, 194, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 186, 234, 195]}, {\"cell\": \"9.8-75.4\", \"bbox\": [257, 186, 283, 195]}, {\"cell\": \"436\", \"bbox\": [318, 186, 331, 195]}, {\"cell\": \"1,101\", \"bbox\": [368, 186, 387, 195]}, {\"cell\": \"22.4\", \"bbox\": [412, 186, 427, 195]}, {\"cell\": \"16.8-29.9\", \"bbox\": [446, 186, 476, 195]}, {\"cell\": \" Females with <i>WX </i>or <i>XX</i>\", \"bbox\": [15, 198, 92, 207]}, {\"cell\": \"31\", \"bbox\": [126, 198, 136, 207]}, {\"cell\": \"42\", \"bbox\": [180, 198, 189, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 198, 236, 207]}, {\"cell\": \"225.4-2006.8\", \"bbox\": [249, 198, 290, 207]}, {\"cell\": \"58\", \"bbox\": [320, 198, 329, 207]}, {\"cell\": \"15\", \"bbox\": [373, 198, 382, 207]}, {\"cell\": \"246.3\", \"bbox\": [410, 198, 429, 207]}, {\"cell\": \"130.9-363.7\", \"bbox\": [442, 198, 480, 207]}, {\"cell\": \" Interaction*\", \"bbox\": [15, 210, 54, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 210, 234, 218]}, {\"cell\": \"0.07-0.80\", \"bbox\": [255, 210, 285, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.17\", \"bbox\": [412, 210, 427, 218]}, {\"cell\": \"0.08-0.35\", \"bbox\": [446, 210, 476, 218]}, {\"cell\": \" Total\", \"bbox\": [15, 222, 33, 230]}, {\"cell\": \"105\", \"bbox\": [124, 222, 138, 230]}, {\"cell\": \"4,918\", \"bbox\": [175, 222, 194, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"628\", \"bbox\": [318, 222, 331, 230]}, {\"cell\": \"4,395\", \"bbox\": [368, 222, 387, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3060108_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}143{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Data source</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>AQS 2004b</b></td><td colspan=\\\"2\\\"><b>NATA 1999c</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Basis</b></td><td colspan=\\\"2\\\"><b>No. of monitors</b></td><td colspan=\\\"2\\\"><b>No. of census tracts</b></td></tr><tr><td><b>Air pollutant</b></td><td><b>Cancer risk</b></td><td><b>Chronic risk</b></td><td><b>Cancer risk</b></td><td><b>Chronic risk</b></td><td><b>Cancer risk</b></td><td><b>Chronic risk</b></td></tr></thead><tbody><tr><td>Nickel compounds</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>Manganese compounds</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>Cadmium compounds</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2</td><td>1</td></tr><tr><td>Titanium tetrachloride</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>2,4-Dinitrotoluene</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Methyl <i>tert</i>-butyl ether</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>61</td><td>[EMPTY_CELL]</td></tr><tr><td>1,3-Dichloropropene</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td>Chloroform</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>41</td><td>[EMPTY_CELL]</td></tr><tr><td>Methylene chloride</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>56</td><td>[EMPTY_CELL]</td></tr><tr><td>(dichloromethane)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>p-Dichlorobenzene</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>64</td><td>[EMPTY_CELL]</td></tr><tr><td>Propylene oxide</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>8</td><td>[EMPTY_CELL]</td></tr><tr><td>Tetrachloroethylene</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>683</td><td>[EMPTY_CELL]</td></tr><tr><td>(perchloroethylene)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Trichloroethylene</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>1,1,2-Trichloroethane</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Bis(2-ethylhexyl)phthalate</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>895</td><td>[EMPTY_CELL]</td></tr><tr><td>Epichlorohydrin</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>(1-chloro-2,3-epoxypropane)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Lead compounds</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>1,2-Dibromo-3-chloropropane</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>1,4-Dioxane</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>2,4-Toluenediamine</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Acrylamide</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Benzidine</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>Dichloroethyl ether</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Bis(2-chloroethyl)ether</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Polycyclic organic matter</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>76</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Data source</b>\", \"bbox\": [249, 5, 286, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>AQS 2004b</b>\", \"bbox\": [213, 13, 247, 23]}, {\"cell\": \"<b>NATA 1999c</b>\", \"bbox\": [291, 13, 329, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Basis</b>\", \"bbox\": [142, 23, 160, 32]}, {\"cell\": \"<b>No. of monitors</b>\", \"bbox\": [207, 23, 253, 32]}, {\"cell\": \"<b>No. of census tracts</b>\", \"bbox\": [279, 23, 338, 32]}, {\"cell\": \"<b>Air pollutant</b>\", \"bbox\": [1, 41, 38, 50]}, {\"cell\": \"<b>Cancer risk</b>\", \"bbox\": [120, 32, 142, 50]}, {\"cell\": \"<b>Chronic risk</b>\", \"bbox\": [158, 32, 182, 50]}, {\"cell\": \"<b>Cancer risk</b>\", \"bbox\": [200, 32, 222, 50]}, {\"cell\": \"<b>Chronic risk</b>\", \"bbox\": [237, 32, 261, 50]}, {\"cell\": \"<b>Cancer risk</b>\", \"bbox\": [277, 32, 299, 50]}, {\"cell\": \"<b>Chronic risk</b>\", \"bbox\": [315, 32, 339, 50]}, {\"cell\": \"Nickel compounds\", \"bbox\": [1, 54, 55, 63]}, {\"cell\": \"X\", \"bbox\": [129, 54, 135, 63]}, {\"cell\": \"X\", \"bbox\": [167, 54, 173, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 54, 294, 63]}, {\"cell\": \"1\", \"bbox\": [324, 54, 330, 63]}, {\"cell\": \"Manganese compounds\", \"bbox\": [1, 62, 71, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [167, 62, 173, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [324, 62, 330, 72]}, {\"cell\": \"Cadmium compounds\", \"bbox\": [1, 71, 64, 81]}, {\"cell\": \"X\", \"bbox\": [129, 71, 135, 81]}, {\"cell\": \"X\", \"bbox\": [167, 71, 173, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 71, 215, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [288, 71, 294, 81]}, {\"cell\": \"1\", \"bbox\": [324, 71, 330, 81]}, {\"cell\": \"Titanium tetrachloride\", \"bbox\": [1, 80, 66, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [167, 80, 173, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [324, 80, 330, 90]}, {\"cell\": \"2,4-Dinitrotoluene\", \"bbox\": [1, 89, 54, 99]}, {\"cell\": \"X\", \"bbox\": [129, 89, 135, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 89, 294, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Methyl <i>tert</i>-butyl ether\", \"bbox\": [0, 98, 68, 107]}, {\"cell\": \"X\", \"bbox\": [129, 98, 135, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 98, 215, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"61\", \"bbox\": [285, 98, 294, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1,3-Dichloropropene\", \"bbox\": [1, 107, 61, 116]}, {\"cell\": \"X\", \"bbox\": [129, 107, 135, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [288, 107, 294, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chloroform\", \"bbox\": [0, 116, 34, 125]}, {\"cell\": \"X\", \"bbox\": [129, 116, 135, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 116, 215, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"41\", \"bbox\": [285, 116, 294, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Methylene chloride\", \"bbox\": [1, 125, 58, 134]}, {\"cell\": \"X\", \"bbox\": [129, 125, 135, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"56\", \"bbox\": [285, 125, 294, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(dichloromethane)\", \"bbox\": [4, 134, 58, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"p-Dichlorobenzene\", \"bbox\": [1, 143, 56, 152]}, {\"cell\": \"X\", \"bbox\": [129, 143, 135, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"64\", \"bbox\": [285, 143, 294, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Propylene oxide\", \"bbox\": [1, 152, 48, 161]}, {\"cell\": \"X\", \"bbox\": [129, 152, 135, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [288, 152, 294, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tetrachloroethylene\", \"bbox\": [1, 160, 60, 170]}, {\"cell\": \"X\", \"bbox\": [129, 160, 135, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 160, 215, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"683\", \"bbox\": [281, 160, 294, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(perchloroethylene)\", \"bbox\": [4, 169, 61, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Trichloroethylene\", \"bbox\": [1, 178, 52, 188]}, {\"cell\": \"X\", \"bbox\": [129, 178, 135, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [288, 178, 294, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1,1,2-Trichloroethane\", \"bbox\": [0, 187, 64, 197]}, {\"cell\": \"X\", \"bbox\": [129, 187, 135, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 187, 215, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bis(2-ethylhexyl)phthalate\", \"bbox\": [1, 196, 77, 206]}, {\"cell\": \"X\", \"bbox\": [129, 196, 135, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"895\", \"bbox\": [281, 196, 294, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Epichlorohydrin\", \"bbox\": [1, 205, 46, 214]}, {\"cell\": \"X\", \"bbox\": [129, 205, 135, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [288, 205, 294, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(1-chloro-2,3-epoxypropane)\", \"bbox\": [4, 214, 86, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lead compounds\", \"bbox\": [1, 223, 50, 232]}, {\"cell\": \"X\", \"bbox\": [129, 223, 135, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 223, 294, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1,2-Dibromo-3-chloropropane\", \"bbox\": [1, 232, 86, 241]}, {\"cell\": \"X\", \"bbox\": [129, 232, 135, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [288, 232, 294, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1,4-Dioxane\", \"bbox\": [1, 241, 37, 250]}, {\"cell\": \"X\", \"bbox\": [129, 241, 135, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [288, 241, 294, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2,4-Toluenediamine\", \"bbox\": [1, 250, 59, 259]}, {\"cell\": \"X\", \"bbox\": [129, 250, 135, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 250, 294, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Acrylamide\", \"bbox\": [1, 258, 35, 268]}, {\"cell\": \"X\", \"bbox\": [129, 258, 135, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 258, 294, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Benzidine\", \"bbox\": [0, 267, 30, 277]}, {\"cell\": \"X\", \"bbox\": [129, 267, 135, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [288, 267, 294, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dichloroethyl ether\", \"bbox\": [1, 276, 57, 286]}, {\"cell\": \"X\", \"bbox\": [129, 276, 135, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [288, 276, 294, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bis(2-chloroethyl)ether\", \"bbox\": [1, 285, 67, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Polycyclic organic matter\", \"bbox\": [1, 294, 74, 304]}, {\"cell\": \"X\", \"bbox\": [129, 294, 135, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"76\", \"bbox\": [285, 294, 294, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2022677_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}144{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Features</b></td><td><b>Typical deepwater rice</b></td><td><b>Ashwina/Bhadoia</b></td><td><b>Rayada rice</b></td><td><b>Wild rice (<i>O. rufipogon </i>)</b></td><td><b>References</b></td></tr></thead><tbody><tr><td>Elongation ability</td><td>[EMPTY_CELL]</td><td>Yes</td><td>Yes (faster)</td><td>Yes (faster)</td><td rowspan=\\\"3\\\">Perez and Nasiruddin (1974); Hasanuzzaman (1974); Catling (1992); Vaughan (1994); Khush (1997); Bashar et al. (2004); Baruah et al. (2009)</td></tr><tr><td>Life cycle (months)</td><td>[EMPTY_CELL]</td><td>6-8</td><td>12 and 6-8</td><td>Perennial</td></tr><tr><td>Cold tolerance</td><td>[EMPTY_CELL]</td><td>No</td><td>Yes</td><td>Varying degree of tolerance</td></tr><tr><td>Photoperiod sensitivity</td><td>[EMPTY_CELL]</td><td>Less or no</td><td>Strongly sensitive</td><td>Sensitive</td><td>[EMPTY_CELL]</td></tr><tr><td>Seed dormancy</td><td>[EMPTY_CELL]</td><td>High</td><td>No</td><td>High</td><td>[EMPTY_CELL]</td></tr><tr><td>Responsiveness of short day in early vegetative stage</td><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>(Not known)</td><td>[EMPTY_CELL]</td></tr><tr><td>Distribution</td><td>[EMPTY_CELL]</td><td>Bangladesh and India</td><td>Endemic to Bangladesh</td><td>South and Southeast Asia, Latin America, Australia, West- Africa</td><td>[EMPTY_CELL]</td></tr><tr><td>Examples</td><td>[EMPTY_CELL]</td><td>Ashwina</td><td>Kaladigha, Beto, etc.</td><td>Jhoradhan</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Features</b>\", \"bbox\": [1, 4, 32, 13]}, {\"cell\": \"<b>Typical deepwater rice</b>\", \"bbox\": [85, 4, 139, 22]}, {\"cell\": \"<b>Ashwina/Bhadoia</b>\", \"bbox\": [163, 4, 225, 13]}, {\"cell\": \"<b>Rayada rice</b>\", \"bbox\": [235, 4, 277, 13]}, {\"cell\": \"<b>Wild rice (<i>O. rufipogon </i>)</b>\", \"bbox\": [311, 4, 360, 22]}, {\"cell\": \"<b>References</b>\", \"bbox\": [389, 4, 429, 13]}, {\"cell\": \"Elongation ability\", \"bbox\": [1, 26, 58, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [85, 26, 98, 36]}, {\"cell\": \"Yes\", \"bbox\": [163, 26, 176, 36]}, {\"cell\": \"Yes (faster)\", \"bbox\": [235, 26, 271, 36]}, {\"cell\": \"Yes (faster)\", \"bbox\": [311, 26, 347, 36]}, {\"cell\": \"Perez and Nasiruddin (1974); Hasanuzzaman (1974); Catling (1992); Vaughan (1994); Khush (1997); Bashar et al. (2004); Baruah et al. (2009)\", \"bbox\": [389, 26, 484, 72]}, {\"cell\": \"Life cycle (months)\", \"bbox\": [1, 39, 63, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [85, 39, 97, 49]}, {\"cell\": \"6-8\", \"bbox\": [163, 39, 175, 49]}, {\"cell\": \"12 and 6-8\", \"bbox\": [235, 39, 272, 49]}, {\"cell\": \"Perennial\", \"bbox\": [311, 39, 342, 49]}, {\"cell\": \"Cold tolerance\", \"bbox\": [1, 52, 49, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [85, 52, 97, 62]}, {\"cell\": \"No\", \"bbox\": [163, 52, 174, 62]}, {\"cell\": \"Yes\", \"bbox\": [235, 52, 248, 62]}, {\"cell\": \"Varying degree of tolerance\", \"bbox\": [311, 52, 361, 71]}, {\"cell\": \"Photoperiod sensitivity\", \"bbox\": [1, 74, 75, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [85, 74, 136, 93]}, {\"cell\": \"Less or no\", \"bbox\": [163, 74, 198, 84]}, {\"cell\": \"Strongly sensitive\", \"bbox\": [235, 74, 293, 84]}, {\"cell\": \"Sensitive\", \"bbox\": [311, 74, 341, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Seed dormancy\", \"bbox\": [1, 97, 53, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [85, 97, 103, 106]}, {\"cell\": \"High\", \"bbox\": [163, 97, 180, 106]}, {\"cell\": \"No\", \"bbox\": [235, 97, 246, 106]}, {\"cell\": \"High\", \"bbox\": [311, 97, 328, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Responsiveness of short day in early vegetative stage\", \"bbox\": [1, 110, 61, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [85, 110, 98, 119]}, {\"cell\": \"Yes\", \"bbox\": [163, 110, 176, 119]}, {\"cell\": \"No\", \"bbox\": [235, 110, 246, 119]}, {\"cell\": \"(Not known)\", \"bbox\": [311, 110, 353, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Distribution\", \"bbox\": [1, 141, 40, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [85, 141, 134, 159]}, {\"cell\": \"Bangladesh and India\", \"bbox\": [163, 141, 202, 159]}, {\"cell\": \"Endemic to Bangladesh\", \"bbox\": [235, 141, 274, 159]}, {\"cell\": \"South and Southeast Asia, Latin America, Australia, West- Africa\", \"bbox\": [311, 141, 379, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Examples\", \"bbox\": [0, 172, 32, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [85, 172, 153, 182]}, {\"cell\": \"Ashwina\", \"bbox\": [163, 172, 192, 182]}, {\"cell\": \"Kaladigha, Beto, etc.\", \"bbox\": [235, 172, 301, 182]}, {\"cell\": \"Jhoradhan\", \"bbox\": [311, 172, 346, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3903441_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}145{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b><i>HSP70</i></b></td><td colspan=\\\"2\\\"><b><i>GR</i></b></td><td colspan=\\\"2\\\"><b><i>Cu</i>/<i>Zn SOD</i></b></td><td colspan=\\\"2\\\"><b><i>Mn SOD</i></b></td><td colspan=\\\"2\\\"><b>GP</b></td><td colspan=\\\"2\\\"><b>IGF-1</b></td><td colspan=\\\"2\\\"><b>IGF-1R</b></td></tr><tr><td><b>R square</b></td><td><b>P</b></td><td><b>R square</b></td><td><b>P</b></td><td><b>R square</b></td><td><b>P</b></td><td><b>R square</b></td><td><b>P</b></td><td><b>R square</b></td><td><b>P</b></td><td><b>R square</b></td><td><b>P</b></td><td><b>R square</b></td><td><b>P</b></td></tr></thead><tbody><tr><td>Weight</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Control</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Wild</td><td>0.046</td><td>0.265</td><td>0.046</td><td>0.254</td><td>[EMPTY_CELL]</td><td>0.005 **</td><td>0.290</td><td>0.002 **</td><td>0.154</td><td>0.036 *</td><td>0.320</td><td>0.002 **</td><td>0.000</td><td>0.917</td></tr><tr><td> Hybrid</td><td>0.018</td><td>0.492</td><td>0.028</td><td>0.393</td><td>[EMPTY_CELL]</td><td>0.601</td><td>0.023</td><td>0.440</td><td>0.014</td><td>0.547</td><td>0.038</td><td>0.311</td><td>0.037</td><td>0.306</td></tr><tr><td> Farm</td><td>0.002</td><td>0.798</td><td>0.066</td><td>0.178</td><td>[EMPTY_CELL]</td><td>0.463</td><td>0.015</td><td>0.533</td><td>0.007</td><td>0.663</td><td>0.023</td><td>0.442</td><td>0.062</td><td>0.201</td></tr><tr><td> Stress</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Wild</td><td>0.095</td><td>0.111</td><td>0.161</td><td>0.034 *</td><td>[EMPTY_CELL]</td><td>0.809</td><td>0.004</td><td>0.746</td><td>0.190</td><td>0.023 *</td><td>0.324</td><td>0.001 **</td><td>0.012</td><td>0.602</td></tr><tr><td> Hybrid</td><td>0.060</td><td>0.192</td><td>0.029</td><td>0.379</td><td>[EMPTY_CELL]</td><td>0.519</td><td>0.018</td><td>0.500</td><td>0.090</td><td>0.108</td><td>0.034</td><td>0.360</td><td>0.058</td><td>0.208</td></tr><tr><td> Farm</td><td>0.007</td><td>0.671</td><td>0.002</td><td>0.821</td><td>[EMPTY_CELL]</td><td>0.405</td><td>0.027</td><td>0.407</td><td>0.001</td><td>0.898</td><td>0.000</td><td>0.986</td><td>0.010</td><td>0.607</td></tr><tr><td>Period</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Control</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Wild</td><td>0.015</td><td>0.524</td><td>0.039</td><td>0.293</td><td>[EMPTY_CELL]</td><td>0.438</td><td>0.002</td><td>0.836</td><td>0.049</td><td>0.250</td><td>0.005</td><td>0.731</td><td>0.010</td><td>0.607</td></tr><tr><td> Hybrid</td><td>0.090</td><td>0.120</td><td>0.018</td><td>0.498</td><td>[EMPTY_CELL]</td><td>0.383</td><td>0.002</td><td>0.814</td><td>0.022</td><td>0.448</td><td>0.067</td><td>0.176</td><td>0.022</td><td>0.439</td></tr><tr><td> Farm</td><td>0.178</td><td>0.023 *</td><td>0.021</td><td>0.455</td><td>[EMPTY_CELL]</td><td>0.678</td><td>0.033</td><td>0.343</td><td>0.037</td><td>0.325</td><td>0.053</td><td>0.238</td><td>0.070</td><td>0.173</td></tr><tr><td> Stress</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Wild</td><td>0.033</td><td>0.356</td><td>0.019</td><td>0.488</td><td>[EMPTY_CELL]</td><td>0.483</td><td>0.000</td><td>0.951</td><td>0.053</td><td>0.249</td><td>0.047</td><td>0.257</td><td>0.000</td><td>0.993</td></tr><tr><td> Hybrid</td><td>0.057</td><td>0.204</td><td>0.058</td><td>0.209</td><td>[EMPTY_CELL]</td><td>0.862</td><td>0.000</td><td>0.961</td><td>0.001</td><td>0.847</td><td>0.036</td><td>0.346</td><td>0.139</td><td>0.047*</td></tr><tr><td> Farm</td><td>0.070</td><td>0.165</td><td>0.006</td><td>0.678</td><td>[EMPTY_CELL]</td><td>0.244</td><td>0.023</td><td>0.439</td><td>0.009</td><td>0.634</td><td>0.028</td><td>0.407</td><td>0.012</td><td>0.566</td></tr><tr><td>Minutes</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Control</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Wild</td><td>0.217</td><td>0.011 *</td><td>0.011</td><td>0.587</td><td>[EMPTY_CELL]</td><td>0.231</td><td>0.083</td><td>0.123</td><td>0.113</td><td>0.074</td><td>0.050</td><td>0.252</td><td>0.130</td><td>0.050 *</td></tr><tr><td> Hybrid</td><td>0.001</td><td>0.859</td><td>0.006</td><td>0.695</td><td>[EMPTY_CELL]</td><td>0.836</td><td>0.010</td><td>0.614</td><td>0.032</td><td>0.354</td><td>0.008</td><td>0.643</td><td>0.005</td><td>0.721</td></tr><tr><td> Farm</td><td>0.007</td><td>0.666</td><td>0.002</td><td>0.806</td><td>[EMPTY_CELL]</td><td>0.668</td><td>0.056</td><td>0.215</td><td>0.005</td><td>0.714</td><td>0.158</td><td>0.036 *</td><td>0.030</td><td>0.382</td></tr><tr><td> Stress</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Wild</td><td>0.008</td><td>0.643</td><td>0.025</td><td>0.424</td><td>[EMPTY_CELL]</td><td>0.706</td><td>0.002</td><td>0.816</td><td>0.014</td><td>[EMPTY_CELL]</td><td>0.001</td><td>0.891</td><td>0.023</td><td>0.462</td></tr><tr><td> Hybrid</td><td>0.006</td><td>0.682</td><td>0.008</td><td>0.650</td><td>[EMPTY_CELL]</td><td>0.830</td><td>0.050</td><td>0.252</td><td>0.026</td><td>0.395</td><td>0.013</td><td>0.570</td><td>0.079</td><td>0.140</td></tr><tr><td> Farm</td><td>0.000</td><td>0.979</td><td>0.012</td><td>0.570</td><td>[EMPTY_CELL]</td><td>0.110</td><td>0.002</td><td>0.821</td><td>0.002</td><td>0.819</td><td>0.070</td><td>0.183</td><td>0.001</td><td>0.890</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>HSP70</i></b>\", \"bbox\": [30, 4, 54, 12]}, {\"cell\": \"<b><i>GR</i></b>\", \"bbox\": [94, 4, 105, 12]}, {\"cell\": \"<b><i>Cu</i>/<i>Zn SOD</i></b>\", \"bbox\": [158, 4, 197, 13]}, {\"cell\": \"<b><i>Mn SOD</i></b>\", \"bbox\": [225, 4, 255, 12]}, {\"cell\": \"<b>GP</b>\", \"bbox\": [293, 4, 304, 13]}, {\"cell\": \"<b>IGF-1</b>\", \"bbox\": [357, 4, 377, 13]}, {\"cell\": \"<b>IGF-1R</b>\", \"bbox\": [424, 4, 449, 13]}, {\"cell\": \"<b>R square</b>\", \"bbox\": [30, 17, 62, 26]}, {\"cell\": \"<b>P</b>\", \"bbox\": [65, 17, 72, 26]}, {\"cell\": \"<b>R square</b>\", \"bbox\": [94, 17, 126, 26]}, {\"cell\": \"<b>P</b>\", \"bbox\": [130, 17, 136, 26]}, {\"cell\": \"<b>R square</b>\", \"bbox\": [158, 17, 190, 26]}, {\"cell\": \"<b>P</b>\", \"bbox\": [194, 17, 200, 26]}, {\"cell\": \"<b>R square</b>\", \"bbox\": [225, 17, 257, 26]}, {\"cell\": \"<b>P</b>\", \"bbox\": [261, 17, 268, 26]}, {\"cell\": \"<b>R square</b>\", \"bbox\": [293, 17, 325, 26]}, {\"cell\": \"<b>P</b>\", \"bbox\": [329, 17, 335, 26]}, {\"cell\": \"<b>R square</b>\", \"bbox\": [357, 17, 389, 26]}, {\"cell\": \"<b>P</b>\", \"bbox\": [393, 17, 399, 26]}, {\"cell\": \"<b>R square</b>\", \"bbox\": [424, 17, 456, 26]}, {\"cell\": \"<b>P</b>\", \"bbox\": [460, 17, 467, 26]}, {\"cell\": \"Weight\", \"bbox\": [1, 30, 25, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Control\", \"bbox\": [3, 44, 29, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Wild\", \"bbox\": [3, 58, 19, 68]}, {\"cell\": \"0.046\", \"bbox\": [30, 58, 49, 68]}, {\"cell\": \"0.265\", \"bbox\": [65, 58, 84, 68]}, {\"cell\": \"0.046\", \"bbox\": [94, 58, 112, 68]}, {\"cell\": \"0.254\", \"bbox\": [130, 58, 148, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 58, 176, 68]}, {\"cell\": \"0.005 **\", \"bbox\": [194, 58, 221, 68]}, {\"cell\": \"0.290\", \"bbox\": [225, 58, 244, 68]}, {\"cell\": \"0.002 **\", \"bbox\": [261, 58, 288, 68]}, {\"cell\": \"0.154\", \"bbox\": [293, 58, 311, 68]}, {\"cell\": \"0.036 *\", \"bbox\": [329, 58, 353, 68]}, {\"cell\": \"0.320\", \"bbox\": [357, 58, 375, 68]}, {\"cell\": \"0.002 **\", \"bbox\": [393, 58, 420, 68]}, {\"cell\": \"0.000\", \"bbox\": [424, 58, 443, 68]}, {\"cell\": \"0.917\", \"bbox\": [460, 58, 479, 68]}, {\"cell\": \" Hybrid\", \"bbox\": [3, 72, 26, 82]}, {\"cell\": \"0.018\", \"bbox\": [30, 72, 49, 82]}, {\"cell\": \"0.492\", \"bbox\": [65, 72, 84, 82]}, {\"cell\": \"0.028\", \"bbox\": [94, 72, 112, 82]}, {\"cell\": \"0.393\", \"bbox\": [130, 72, 148, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 72, 176, 82]}, {\"cell\": \"0.601\", \"bbox\": [194, 72, 213, 82]}, {\"cell\": \"0.023\", \"bbox\": [225, 72, 244, 82]}, {\"cell\": \"0.440\", \"bbox\": [261, 72, 280, 82]}, {\"cell\": \"0.014\", \"bbox\": [293, 72, 311, 82]}, {\"cell\": \"0.547\", \"bbox\": [329, 72, 347, 82]}, {\"cell\": \"0.038\", \"bbox\": [357, 72, 375, 82]}, {\"cell\": \"0.311\", \"bbox\": [393, 72, 412, 82]}, {\"cell\": \"0.037\", \"bbox\": [424, 72, 443, 82]}, {\"cell\": \"0.306\", \"bbox\": [460, 72, 479, 82]}, {\"cell\": \" Farm\", \"bbox\": [3, 86, 21, 96]}, {\"cell\": \"0.002\", \"bbox\": [30, 86, 49, 96]}, {\"cell\": \"0.798\", \"bbox\": [65, 86, 84, 96]}, {\"cell\": \"0.066\", \"bbox\": [94, 86, 112, 96]}, {\"cell\": \"0.178\", \"bbox\": [130, 86, 148, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 86, 176, 96]}, {\"cell\": \"0.463\", \"bbox\": [194, 86, 213, 96]}, {\"cell\": \"0.015\", \"bbox\": [225, 86, 244, 96]}, {\"cell\": \"0.533\", \"bbox\": [261, 86, 280, 96]}, {\"cell\": \"0.007\", \"bbox\": [293, 86, 311, 96]}, {\"cell\": \"0.663\", \"bbox\": [329, 86, 347, 96]}, {\"cell\": \"0.023\", \"bbox\": [357, 86, 375, 96]}, {\"cell\": \"0.442\", \"bbox\": [393, 86, 412, 96]}, {\"cell\": \"0.062\", \"bbox\": [424, 86, 443, 96]}, {\"cell\": \"0.201\", \"bbox\": [460, 86, 479, 96]}, {\"cell\": \" Stress\", \"bbox\": [3, 100, 23, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Wild\", \"bbox\": [3, 114, 19, 124]}, {\"cell\": \"0.095\", \"bbox\": [30, 114, 49, 124]}, {\"cell\": \"0.111\", \"bbox\": [65, 114, 84, 124]}, {\"cell\": \"0.161\", \"bbox\": [94, 114, 112, 124]}, {\"cell\": \"0.034 *\", \"bbox\": [130, 114, 154, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 114, 176, 124]}, {\"cell\": \"0.809\", \"bbox\": [194, 114, 213, 124]}, {\"cell\": \"0.004\", \"bbox\": [225, 114, 244, 124]}, {\"cell\": \"0.746\", \"bbox\": [261, 114, 280, 124]}, {\"cell\": \"0.190\", \"bbox\": [293, 114, 311, 124]}, {\"cell\": \"0.023 *\", \"bbox\": [329, 114, 353, 124]}, {\"cell\": \"0.324\", \"bbox\": [357, 114, 375, 124]}, {\"cell\": \"0.001 **\", \"bbox\": [393, 114, 420, 124]}, {\"cell\": \"0.012\", \"bbox\": [424, 114, 443, 124]}, {\"cell\": \"0.602\", \"bbox\": [460, 114, 479, 124]}, {\"cell\": \" Hybrid\", \"bbox\": [3, 128, 26, 138]}, {\"cell\": \"0.060\", \"bbox\": [30, 128, 49, 138]}, {\"cell\": \"0.192\", \"bbox\": [65, 128, 84, 138]}, {\"cell\": \"0.029\", \"bbox\": [94, 128, 112, 138]}, {\"cell\": \"0.379\", \"bbox\": [130, 128, 148, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 128, 176, 138]}, {\"cell\": \"0.519\", \"bbox\": [194, 128, 213, 138]}, {\"cell\": \"0.018\", \"bbox\": [225, 128, 244, 138]}, {\"cell\": \"0.500\", \"bbox\": [261, 128, 280, 138]}, {\"cell\": \"0.090\", \"bbox\": [293, 128, 311, 138]}, {\"cell\": \"0.108\", \"bbox\": [329, 128, 347, 138]}, {\"cell\": \"0.034\", \"bbox\": [357, 128, 375, 138]}, {\"cell\": \"0.360\", \"bbox\": [393, 128, 412, 138]}, {\"cell\": \"0.058\", \"bbox\": [424, 128, 443, 138]}, {\"cell\": \"0.208\", \"bbox\": [460, 128, 479, 138]}, {\"cell\": \" Farm\", \"bbox\": [3, 142, 21, 152]}, {\"cell\": \"0.007\", \"bbox\": [30, 142, 49, 152]}, {\"cell\": \"0.671\", \"bbox\": [65, 142, 84, 152]}, {\"cell\": \"0.002\", \"bbox\": [94, 142, 112, 152]}, {\"cell\": \"0.821\", \"bbox\": [130, 142, 148, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 142, 176, 152]}, {\"cell\": \"0.405\", \"bbox\": [194, 142, 213, 152]}, {\"cell\": \"0.027\", \"bbox\": [225, 142, 244, 152]}, {\"cell\": \"0.407\", \"bbox\": [261, 142, 280, 152]}, {\"cell\": \"0.001\", \"bbox\": [293, 142, 311, 152]}, {\"cell\": \"0.898\", \"bbox\": [329, 142, 347, 152]}, {\"cell\": \"0.000\", \"bbox\": [357, 142, 375, 152]}, {\"cell\": \"0.986\", \"bbox\": [393, 142, 412, 152]}, {\"cell\": \"0.010\", \"bbox\": [424, 142, 443, 152]}, {\"cell\": \"0.607\", \"bbox\": [460, 142, 479, 152]}, {\"cell\": \"Period\", \"bbox\": [1, 156, 23, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Control\", \"bbox\": [3, 170, 29, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Wild\", \"bbox\": [3, 184, 19, 194]}, {\"cell\": \"0.015\", \"bbox\": [30, 184, 49, 194]}, {\"cell\": \"0.524\", \"bbox\": [65, 184, 84, 194]}, {\"cell\": \"0.039\", \"bbox\": [94, 184, 112, 194]}, {\"cell\": \"0.293\", \"bbox\": [130, 184, 148, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 184, 176, 194]}, {\"cell\": \"0.438\", \"bbox\": [194, 184, 213, 194]}, {\"cell\": \"0.002\", \"bbox\": [225, 184, 244, 194]}, {\"cell\": \"0.836\", \"bbox\": [261, 184, 280, 194]}, {\"cell\": \"0.049\", \"bbox\": [293, 184, 311, 194]}, {\"cell\": \"0.250\", \"bbox\": [329, 184, 347, 194]}, {\"cell\": \"0.005\", \"bbox\": [357, 184, 375, 194]}, {\"cell\": \"0.731\", \"bbox\": [393, 184, 412, 194]}, {\"cell\": \"0.010\", \"bbox\": [424, 184, 443, 194]}, {\"cell\": \"0.607\", \"bbox\": [460, 184, 479, 194]}, {\"cell\": \" Hybrid\", \"bbox\": [3, 198, 26, 208]}, {\"cell\": \"0.090\", \"bbox\": [30, 198, 49, 208]}, {\"cell\": \"0.120\", \"bbox\": [65, 198, 84, 208]}, {\"cell\": \"0.018\", \"bbox\": [94, 198, 112, 208]}, {\"cell\": \"0.498\", \"bbox\": [130, 198, 148, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 198, 176, 208]}, {\"cell\": \"0.383\", \"bbox\": [194, 198, 213, 208]}, {\"cell\": \"0.002\", \"bbox\": [225, 198, 244, 208]}, {\"cell\": \"0.814\", \"bbox\": [261, 198, 280, 208]}, {\"cell\": \"0.022\", \"bbox\": [293, 198, 311, 208]}, {\"cell\": \"0.448\", \"bbox\": [329, 198, 347, 208]}, {\"cell\": \"0.067\", \"bbox\": [357, 198, 375, 208]}, {\"cell\": \"0.176\", \"bbox\": [393, 198, 412, 208]}, {\"cell\": \"0.022\", \"bbox\": [424, 198, 443, 208]}, {\"cell\": \"0.439\", \"bbox\": [460, 198, 479, 208]}, {\"cell\": \" Farm\", \"bbox\": [3, 212, 21, 222]}, {\"cell\": \"0.178\", \"bbox\": [30, 212, 49, 222]}, {\"cell\": \"0.023 *\", \"bbox\": [65, 212, 89, 222]}, {\"cell\": \"0.021\", \"bbox\": [94, 212, 112, 222]}, {\"cell\": \"0.455\", \"bbox\": [130, 212, 148, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 212, 176, 222]}, {\"cell\": \"0.678\", \"bbox\": [194, 212, 213, 222]}, {\"cell\": \"0.033\", \"bbox\": [225, 212, 244, 222]}, {\"cell\": \"0.343\", \"bbox\": [261, 212, 280, 222]}, {\"cell\": \"0.037\", \"bbox\": [293, 212, 311, 222]}, {\"cell\": \"0.325\", \"bbox\": [329, 212, 347, 222]}, {\"cell\": \"0.053\", \"bbox\": [357, 212, 375, 222]}, {\"cell\": \"0.238\", \"bbox\": [393, 212, 412, 222]}, {\"cell\": \"0.070\", \"bbox\": [424, 212, 443, 222]}, {\"cell\": \"0.173\", \"bbox\": [460, 212, 479, 222]}, {\"cell\": \" Stress\", \"bbox\": [3, 226, 23, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Wild\", \"bbox\": [3, 240, 19, 250]}, {\"cell\": \"0.033\", \"bbox\": [30, 240, 49, 250]}, {\"cell\": \"0.356\", \"bbox\": [65, 240, 84, 250]}, {\"cell\": \"0.019\", \"bbox\": [94, 240, 112, 250]}, {\"cell\": \"0.488\", \"bbox\": [130, 240, 148, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 240, 176, 250]}, {\"cell\": \"0.483\", \"bbox\": [194, 240, 213, 250]}, {\"cell\": \"0.000\", \"bbox\": [225, 240, 244, 250]}, {\"cell\": \"0.951\", \"bbox\": [261, 240, 280, 250]}, {\"cell\": \"0.053\", \"bbox\": [293, 240, 311, 250]}, {\"cell\": \"0.249\", \"bbox\": [329, 240, 347, 250]}, {\"cell\": \"0.047\", \"bbox\": [357, 240, 375, 250]}, {\"cell\": \"0.257\", \"bbox\": [393, 240, 412, 250]}, {\"cell\": \"0.000\", \"bbox\": [424, 240, 443, 250]}, {\"cell\": \"0.993\", \"bbox\": [460, 240, 479, 250]}, {\"cell\": \" Hybrid\", \"bbox\": [3, 254, 26, 264]}, {\"cell\": \"0.057\", \"bbox\": [30, 254, 49, 264]}, {\"cell\": \"0.204\", \"bbox\": [65, 254, 84, 264]}, {\"cell\": \"0.058\", \"bbox\": [94, 254, 112, 264]}, {\"cell\": \"0.209\", \"bbox\": [130, 254, 148, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 254, 176, 264]}, {\"cell\": \"0.862\", \"bbox\": [194, 254, 213, 264]}, {\"cell\": \"0.000\", \"bbox\": [225, 254, 244, 264]}, {\"cell\": \"0.961\", \"bbox\": [261, 254, 280, 264]}, {\"cell\": \"0.001\", \"bbox\": [293, 254, 311, 264]}, {\"cell\": \"0.847\", \"bbox\": [329, 254, 347, 264]}, {\"cell\": \"0.036\", \"bbox\": [357, 254, 375, 264]}, {\"cell\": \"0.346\", \"bbox\": [393, 254, 412, 264]}, {\"cell\": \"0.139\", \"bbox\": [424, 254, 443, 264]}, {\"cell\": \"0.047*\", \"bbox\": [460, 254, 482, 264]}, {\"cell\": \" Farm\", \"bbox\": [3, 268, 21, 278]}, {\"cell\": \"0.070\", \"bbox\": [30, 268, 49, 278]}, {\"cell\": \"0.165\", \"bbox\": [65, 268, 84, 278]}, {\"cell\": \"0.006\", \"bbox\": [94, 268, 112, 278]}, {\"cell\": \"0.678\", \"bbox\": [130, 268, 148, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 268, 176, 278]}, {\"cell\": \"0.244\", \"bbox\": [194, 268, 213, 278]}, {\"cell\": \"0.023\", \"bbox\": [225, 268, 244, 278]}, {\"cell\": \"0.439\", \"bbox\": [261, 268, 280, 278]}, {\"cell\": \"0.009\", \"bbox\": [293, 268, 311, 278]}, {\"cell\": \"0.634\", \"bbox\": [329, 268, 347, 278]}, {\"cell\": \"0.028\", \"bbox\": [357, 268, 375, 278]}, {\"cell\": \"0.407\", \"bbox\": [393, 268, 412, 278]}, {\"cell\": \"0.012\", \"bbox\": [424, 268, 443, 278]}, {\"cell\": \"0.566\", \"bbox\": [460, 268, 479, 278]}, {\"cell\": \"Minutes\", \"bbox\": [1, 282, 28, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Control\", \"bbox\": [3, 296, 29, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Wild\", \"bbox\": [3, 310, 19, 320]}, {\"cell\": \"0.217\", \"bbox\": [30, 310, 49, 320]}, {\"cell\": \"0.011 *\", \"bbox\": [65, 310, 89, 320]}, {\"cell\": \"0.011\", \"bbox\": [94, 310, 112, 320]}, {\"cell\": \"0.587\", \"bbox\": [130, 310, 148, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 310, 176, 320]}, {\"cell\": \"0.231\", \"bbox\": [194, 310, 213, 320]}, {\"cell\": \"0.083\", \"bbox\": [225, 310, 244, 320]}, {\"cell\": \"0.123\", \"bbox\": [261, 310, 280, 320]}, {\"cell\": \"0.113\", \"bbox\": [293, 310, 311, 320]}, {\"cell\": \"0.074\", \"bbox\": [329, 310, 347, 320]}, {\"cell\": \"0.050\", \"bbox\": [357, 310, 375, 320]}, {\"cell\": \"0.252\", \"bbox\": [393, 310, 412, 320]}, {\"cell\": \"0.130\", \"bbox\": [424, 310, 443, 320]}, {\"cell\": \"0.050 *\", \"bbox\": [460, 310, 484, 320]}, {\"cell\": \" Hybrid\", \"bbox\": [3, 324, 26, 334]}, {\"cell\": \"0.001\", \"bbox\": [30, 324, 49, 334]}, {\"cell\": \"0.859\", \"bbox\": [65, 324, 84, 334]}, {\"cell\": \"0.006\", \"bbox\": [94, 324, 112, 334]}, {\"cell\": \"0.695\", \"bbox\": [130, 324, 148, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 324, 176, 334]}, {\"cell\": \"0.836\", \"bbox\": [194, 324, 213, 334]}, {\"cell\": \"0.010\", \"bbox\": [225, 324, 244, 334]}, {\"cell\": \"0.614\", \"bbox\": [261, 324, 280, 334]}, {\"cell\": \"0.032\", \"bbox\": [293, 324, 311, 334]}, {\"cell\": \"0.354\", \"bbox\": [329, 324, 347, 334]}, {\"cell\": \"0.008\", \"bbox\": [357, 324, 375, 334]}, {\"cell\": \"0.643\", \"bbox\": [393, 324, 412, 334]}, {\"cell\": \"0.005\", \"bbox\": [424, 324, 443, 334]}, {\"cell\": \"0.721\", \"bbox\": [460, 324, 479, 334]}, {\"cell\": \" Farm\", \"bbox\": [3, 338, 21, 348]}, {\"cell\": \"0.007\", \"bbox\": [30, 338, 49, 348]}, {\"cell\": \"0.666\", \"bbox\": [65, 338, 84, 348]}, {\"cell\": \"0.002\", \"bbox\": [94, 338, 112, 348]}, {\"cell\": \"0.806\", \"bbox\": [130, 338, 148, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 338, 176, 348]}, {\"cell\": \"0.668\", \"bbox\": [194, 338, 213, 348]}, {\"cell\": \"0.056\", \"bbox\": [225, 338, 244, 348]}, {\"cell\": \"0.215\", \"bbox\": [261, 338, 280, 348]}, {\"cell\": \"0.005\", \"bbox\": [293, 338, 311, 348]}, {\"cell\": \"0.714\", \"bbox\": [329, 338, 347, 348]}, {\"cell\": \"0.158\", \"bbox\": [357, 338, 375, 348]}, {\"cell\": \"0.036 *\", \"bbox\": [393, 338, 417, 348]}, {\"cell\": \"0.030\", \"bbox\": [424, 338, 443, 348]}, {\"cell\": \"0.382\", \"bbox\": [460, 338, 479, 348]}, {\"cell\": \" Stress\", \"bbox\": [3, 352, 23, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Wild\", \"bbox\": [3, 366, 19, 376]}, {\"cell\": \"0.008\", \"bbox\": [30, 366, 49, 376]}, {\"cell\": \"0.643\", \"bbox\": [65, 366, 84, 376]}, {\"cell\": \"0.025\", \"bbox\": [94, 366, 112, 376]}, {\"cell\": \"0.424\", \"bbox\": [130, 366, 148, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 366, 176, 376]}, {\"cell\": \"0.706\", \"bbox\": [194, 366, 213, 376]}, {\"cell\": \"0.002\", \"bbox\": [225, 366, 244, 376]}, {\"cell\": \"0.816\", \"bbox\": [261, 366, 280, 376]}, {\"cell\": \"0.014\", \"bbox\": [293, 366, 311, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.001\", \"bbox\": [357, 366, 375, 376]}, {\"cell\": \"0.891\", \"bbox\": [393, 366, 412, 376]}, {\"cell\": \"0.023\", \"bbox\": [424, 366, 443, 376]}, {\"cell\": \"0.462\", \"bbox\": [460, 366, 479, 376]}, {\"cell\": \" Hybrid\", \"bbox\": [3, 380, 26, 390]}, {\"cell\": \"0.006\", \"bbox\": [30, 380, 49, 390]}, {\"cell\": \"0.682\", \"bbox\": [65, 380, 84, 390]}, {\"cell\": \"0.008\", \"bbox\": [94, 380, 112, 390]}, {\"cell\": \"0.650\", \"bbox\": [130, 380, 148, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 380, 176, 390]}, {\"cell\": \"0.830\", \"bbox\": [194, 380, 213, 390]}, {\"cell\": \"0.050\", \"bbox\": [225, 380, 244, 390]}, {\"cell\": \"0.252\", \"bbox\": [261, 380, 280, 390]}, {\"cell\": \"0.026\", \"bbox\": [293, 380, 311, 390]}, {\"cell\": \"0.395\", \"bbox\": [329, 380, 347, 390]}, {\"cell\": \"0.013\", \"bbox\": [357, 380, 375, 390]}, {\"cell\": \"0.570\", \"bbox\": [393, 380, 412, 390]}, {\"cell\": \"0.079\", \"bbox\": [424, 380, 443, 390]}, {\"cell\": \"0.140\", \"bbox\": [460, 380, 479, 390]}, {\"cell\": \" Farm\", \"bbox\": [3, 394, 21, 404]}, {\"cell\": \"0.000\", \"bbox\": [30, 394, 49, 404]}, {\"cell\": \"0.979\", \"bbox\": [65, 394, 84, 404]}, {\"cell\": \"0.012\", \"bbox\": [94, 394, 112, 404]}, {\"cell\": \"0.570\", \"bbox\": [130, 394, 148, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 394, 176, 404]}, {\"cell\": \"0.110\", \"bbox\": [194, 394, 213, 404]}, {\"cell\": \"0.002\", \"bbox\": [225, 394, 244, 404]}, {\"cell\": \"0.821\", \"bbox\": [261, 394, 280, 404]}, {\"cell\": \"0.002\", \"bbox\": [293, 394, 311, 404]}, {\"cell\": \"0.819\", \"bbox\": [329, 394, 347, 404]}, {\"cell\": \"0.070\", \"bbox\": [357, 394, 375, 404]}, {\"cell\": \"0.183\", \"bbox\": [393, 394, 412, 404]}, {\"cell\": \"0.001\", \"bbox\": [424, 394, 443, 404]}, {\"cell\": \"0.890\", \"bbox\": [460, 394, 479, 404]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3598671_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}146{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Parameters</b></td><td colspan=\\\"3\\\"><b>All Patients <i>n</i> = 165</b></td><td colspan=\\\"2\\\"><b>Women <i>n</i> = 72</b></td><td colspan=\\\"2\\\"><b>Men <i>n</i> = 93</b></td><td><b>Significance</b></td></tr><tr><td><b>Range</b></td><td><b>Median</b></td><td><b>IQR 25–75</b></td><td><b>Median</b></td><td><b>IQR 25–75</b></td><td><b>Median</b></td><td><b>IQR 25–75</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>Age, years</td><td>17–81</td><td>[EMPTY_CELL]</td><td>46–65</td><td>58.5</td><td>53–65</td><td>53.0</td><td>40.8–65.3</td><td>0.0142</td></tr><tr><td>Height, cm</td><td>143–188</td><td>[EMPTY_CELL]</td><td>154–172</td><td>154</td><td>151–159</td><td>170</td><td>165–176</td><td><0.0001</td></tr><tr><td>Body weight, kg</td><td>44.4–120.3</td><td>[EMPTY_CELL]</td><td>61.3–78.1</td><td>62.0</td><td>57.3–71.4</td><td>74.9</td><td>68.0–83.1</td><td><0.0001</td></tr><tr><td>Body surface, m<sup>2</sup></td><td>1.34–2.38</td><td>[EMPTY_CELL]</td><td>1.59–1.88</td><td>1.59</td><td>1.55–1.71</td><td>1.84</td><td>1.78–1.96</td><td><0.0001</td></tr><tr><td>Body mass index, kg/m<sup>2</sup></td><td>18.4–38.0</td><td>[EMPTY_CELL]</td><td>24.0–29.2</td><td>26.1</td><td>24.0–29.8</td><td>26.3</td><td>23.9–29.2</td><td>0.620</td></tr><tr><td>Serum creatinine, mg/dL</td><td>0.57–14.4</td><td>[EMPTY_CELL]</td><td>1.05–2.11</td><td>1.19</td><td>0.95–1.67</td><td>1.48</td><td>1.10–3.18</td><td><0.0006</td></tr><tr><td>24-h UCr, mg</td><td>444–2102</td><td>[EMPTY_CELL]</td><td>842–1337</td><td>883</td><td>738–1017</td><td>1270</td><td>1083–1506</td><td><0.0001</td></tr><tr><td>Body cell mass, kg</td><td>12.2–45.2</td><td>[EMPTY_CELL]</td><td>18.6–28.7</td><td>18.7</td><td>17.1–22.1</td><td>28.4</td><td>25.3–32.5</td><td><0.0001</td></tr><tr><td>Fat mass, kg</td><td>3.2–61.2</td><td>[EMPTY_CELL]</td><td>15.5–23.2</td><td>21.4</td><td>17.0–26.7</td><td>17.8</td><td>13.6–22.2</td><td>0.0003</td></tr><tr><td>Extra-cellular water, kg</td><td>8.7–46.3</td><td>[EMPTY_CELL]</td><td>13.2–17.4</td><td>12.9</td><td>11.7–14.9</td><td>16.6</td><td>15.3–19.1</td><td><0.0001</td></tr><tr><td>24-h UCr/Body weight, mg/kg</td><td>8.0–26.3</td><td>[EMPTY_CELL]</td><td>12.8–18.0</td><td>13.9</td><td>11.4–15.8</td><td>17.3</td><td>15.1–19.8</td><td><0.0001</td></tr><tr><td>24-h UCr/ Body cell mass, mg/kg</td><td>23.7–70.7</td><td>[EMPTY_CELL]</td><td>39.2–52.3</td><td>44.7</td><td>39.1–51.9</td><td>46.4</td><td>41.5–52.4</td><td>0.40</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameters</b>\", \"bbox\": [52, 11, 99, 22]}, {\"cell\": \"<b>All Patients <i>n</i> = 165</b>\", \"bbox\": [203, 5, 284, 16]}, {\"cell\": \"<b>Women <i>n</i> = 72</b>\", \"bbox\": [369, 5, 428, 16]}, {\"cell\": \"<b>Men <i>n</i> = 93</b>\", \"bbox\": [499, 5, 546, 16]}, {\"cell\": \"<b>Significance</b>\", \"bbox\": [590, 5, 642, 16]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [167, 16, 195, 27]}, {\"cell\": \"<b>Median</b>\", \"bbox\": [226, 16, 260, 27]}, {\"cell\": \"<b>IQR 25–75</b>\", \"bbox\": [283, 16, 327, 27]}, {\"cell\": \"<b>Median</b>\", \"bbox\": [351, 16, 384, 27]}, {\"cell\": \"<b>IQR 25–75</b>\", \"bbox\": [408, 16, 452, 27]}, {\"cell\": \"<b>Median</b>\", \"bbox\": [475, 16, 509, 27]}, {\"cell\": \"<b>IQR 25–75</b>\", \"bbox\": [532, 16, 576, 27]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [613, 18, 620, 27]}, {\"cell\": \"Age, years\", \"bbox\": [54, 32, 98, 43]}, {\"cell\": \"17–81\", \"bbox\": [169, 32, 193, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 32, 252, 43]}, {\"cell\": \"46–65\", \"bbox\": [293, 32, 318, 43]}, {\"cell\": \"58.5\", \"bbox\": [359, 32, 376, 43]}, {\"cell\": \"53–65\", \"bbox\": [417, 32, 442, 43]}, {\"cell\": \"53.0\", \"bbox\": [483, 32, 501, 43]}, {\"cell\": \"40.8–65.3\", \"bbox\": [535, 32, 573, 43]}, {\"cell\": \"0.0142\", \"bbox\": [603, 32, 629, 43]}, {\"cell\": \"Height, cm\", \"bbox\": [53, 43, 99, 54]}, {\"cell\": \"143–188\", \"bbox\": [164, 43, 198, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 43, 253, 54]}, {\"cell\": \"154–172\", \"bbox\": [289, 43, 322, 54]}, {\"cell\": \"154\", \"bbox\": [360, 43, 375, 54]}, {\"cell\": \"151–159\", \"bbox\": [413, 43, 446, 54]}, {\"cell\": \"170\", \"bbox\": [484, 43, 500, 54]}, {\"cell\": \"165–176\", \"bbox\": [537, 43, 571, 54]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 43, 632, 54]}, {\"cell\": \"Body weight, kg\", \"bbox\": [42, 54, 109, 65]}, {\"cell\": \"44.4–120.3\", \"bbox\": [160, 54, 202, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 54, 252, 65]}, {\"cell\": \"61.3–78.1\", \"bbox\": [286, 54, 324, 65]}, {\"cell\": \"62.0\", \"bbox\": [359, 54, 376, 65]}, {\"cell\": \"57.3–71.4\", \"bbox\": [411, 54, 449, 65]}, {\"cell\": \"74.9\", \"bbox\": [483, 54, 501, 65]}, {\"cell\": \"68.0–83.1\", \"bbox\": [535, 54, 573, 65]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 54, 632, 65]}, {\"cell\": \"Body surface, m<sup>2</sup>\", \"bbox\": [41, 63, 110, 76]}, {\"cell\": \"1.34–2.38\", \"bbox\": [162, 65, 200, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 65, 252, 76]}, {\"cell\": \"1.59–1.88\", \"bbox\": [286, 65, 324, 76]}, {\"cell\": \"1.59\", \"bbox\": [359, 65, 376, 76]}, {\"cell\": \"1.55–1.71\", \"bbox\": [411, 65, 449, 76]}, {\"cell\": \"1.84\", \"bbox\": [483, 65, 501, 76]}, {\"cell\": \"1.78–1.96\", \"bbox\": [535, 65, 573, 76]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 65, 632, 76]}, {\"cell\": \"Body mass index, kg/m<sup>2</sup>\", \"bbox\": [25, 75, 126, 88]}, {\"cell\": \"18.4–38.0\", \"bbox\": [162, 76, 200, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 76, 252, 87]}, {\"cell\": \"24.0–29.2\", \"bbox\": [286, 76, 324, 87]}, {\"cell\": \"26.1\", \"bbox\": [359, 76, 376, 87]}, {\"cell\": \"24.0–29.8\", \"bbox\": [411, 76, 449, 87]}, {\"cell\": \"26.3\", \"bbox\": [483, 76, 501, 87]}, {\"cell\": \"23.9–29.2\", \"bbox\": [535, 76, 573, 87]}, {\"cell\": \"0.620\", \"bbox\": [605, 76, 627, 87]}, {\"cell\": \"Serum creatinine, mg/dL\", \"bbox\": [24, 87, 127, 98]}, {\"cell\": \"0.57–14.4\", \"bbox\": [162, 87, 200, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 87, 252, 98]}, {\"cell\": \"1.05–2.11\", \"bbox\": [286, 87, 324, 98]}, {\"cell\": \"1.19\", \"bbox\": [359, 87, 376, 98]}, {\"cell\": \"0.95–1.67\", \"bbox\": [411, 87, 449, 98]}, {\"cell\": \"1.48\", \"bbox\": [483, 87, 501, 98]}, {\"cell\": \"1.10–3.18\", \"bbox\": [535, 87, 573, 98]}, {\"cell\": \"<0.0006\", \"bbox\": [600, 87, 632, 98]}, {\"cell\": \"24-h UCr, mg\", \"bbox\": [48, 98, 103, 109]}, {\"cell\": \"444–2102\", \"bbox\": [162, 98, 200, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 98, 253, 109]}, {\"cell\": \"842–1337\", \"bbox\": [286, 98, 324, 109]}, {\"cell\": \"883\", \"bbox\": [360, 98, 375, 109]}, {\"cell\": \"738–1017\", \"bbox\": [411, 98, 449, 109]}, {\"cell\": \"1270\", \"bbox\": [482, 98, 502, 109]}, {\"cell\": \"1083–1506\", \"bbox\": [533, 98, 575, 109]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 98, 632, 109]}, {\"cell\": \"Body cell mass, kg\", \"bbox\": [38, 109, 113, 121]}, {\"cell\": \"12.2–45.2\", \"bbox\": [162, 109, 200, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 109, 252, 121]}, {\"cell\": \"18.6–28.7\", \"bbox\": [286, 109, 324, 121]}, {\"cell\": \"18.7\", \"bbox\": [359, 109, 376, 121]}, {\"cell\": \"17.1–22.1\", \"bbox\": [411, 109, 449, 121]}, {\"cell\": \"28.4\", \"bbox\": [483, 109, 501, 121]}, {\"cell\": \"25.3–32.5\", \"bbox\": [535, 109, 573, 121]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 109, 632, 121]}, {\"cell\": \"Fat mass, kg\", \"bbox\": [50, 120, 101, 132]}, {\"cell\": \"3.2–61.2\", \"bbox\": [164, 120, 198, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 120, 252, 132]}, {\"cell\": \"15.5–23.2\", \"bbox\": [286, 120, 324, 132]}, {\"cell\": \"21.4\", \"bbox\": [359, 120, 376, 132]}, {\"cell\": \"17.0–26.7\", \"bbox\": [411, 120, 449, 132]}, {\"cell\": \"17.8\", \"bbox\": [483, 120, 501, 132]}, {\"cell\": \"13.6–22.2\", \"bbox\": [535, 120, 573, 132]}, {\"cell\": \"0.0003\", \"bbox\": [603, 120, 629, 132]}, {\"cell\": \"Extra-cellular water, kg\", \"bbox\": [29, 131, 123, 143]}, {\"cell\": \"8.7–46.3\", \"bbox\": [164, 131, 198, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 131, 252, 143]}, {\"cell\": \"13.2–17.4\", \"bbox\": [286, 131, 324, 143]}, {\"cell\": \"12.9\", \"bbox\": [359, 131, 376, 143]}, {\"cell\": \"11.7–14.9\", \"bbox\": [411, 131, 449, 143]}, {\"cell\": \"16.6\", \"bbox\": [483, 131, 501, 143]}, {\"cell\": \"15.3–19.1\", \"bbox\": [535, 131, 573, 143]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 131, 632, 143]}, {\"cell\": \"24-h UCr/Body weight, mg/kg\", \"bbox\": [12, 142, 139, 154]}, {\"cell\": \"8.0–26.3\", \"bbox\": [164, 142, 198, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 142, 252, 154]}, {\"cell\": \"12.8–18.0\", \"bbox\": [286, 142, 324, 154]}, {\"cell\": \"13.9\", \"bbox\": [359, 142, 376, 154]}, {\"cell\": \"11.4–15.8\", \"bbox\": [411, 142, 449, 154]}, {\"cell\": \"17.3\", \"bbox\": [483, 142, 501, 154]}, {\"cell\": \"15.1–19.8\", \"bbox\": [535, 142, 573, 154]}, {\"cell\": \"<0.0001\", \"bbox\": [600, 142, 632, 154]}, {\"cell\": \"24-h UCr/ Body cell mass, mg/kg\", \"bbox\": [7, 153, 145, 165]}, {\"cell\": \"23.7–70.7\", \"bbox\": [162, 153, 200, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 153, 252, 165]}, {\"cell\": \"39.2–52.3\", \"bbox\": [286, 153, 324, 165]}, {\"cell\": \"44.7\", \"bbox\": [359, 153, 376, 165]}, {\"cell\": \"39.1–51.9\", \"bbox\": [411, 153, 449, 165]}, {\"cell\": \"46.4\", \"bbox\": [483, 153, 501, 165]}, {\"cell\": \"41.5–52.4\", \"bbox\": [535, 153, 573, 165]}, {\"cell\": \"0.40\", \"bbox\": [607, 153, 625, 165]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5490532_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}147{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Socioeconomic status indicators</b></td><td><b>All patients<i>n</i>= 176,<i>n</i>(%)</b></td><td><b>Injured patients<i>n</i>= 116, n(%)</b></td><td><b>Non-injured patients<i>n</i>= 57,<i>n</i>(%)</b></td><td><b>OR (95% CI)**</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>79 (45.4)</td><td>52 (45.2)</td><td>27 (48.2)</td><td>0.89 (0.47, 1.68)</td></tr><tr><td>[EMPTY_CELL]</td><td>153 (87.4)</td><td>100 (87.0)</td><td>52 (91.2)</td><td>0.64 (0.22, 1.86)</td></tr><tr><td>[EMPTY_CELL]</td><td>148 (84.6)</td><td>97 (84.3)</td><td>48 (84.2)</td><td>1.01 (0.42, 2.42)</td></tr><tr><td>[EMPTY_CELL]</td><td>132 (75.4)</td><td>89 (77.4)</td><td>41 (71.9)</td><td>1.34 (0.65, 2.76)</td></tr><tr><td>[EMPTY_CELL]</td><td>120 (69.0)</td><td>84 (73.7)</td><td>34 (59.6)</td><td>1.89 (0.97, 3.71)</td></tr><tr><td>[EMPTY_CELL]</td><td>138 (78.9)</td><td>92 (80.0)</td><td>44 (77.2)</td><td>1.18 (0.55, 2.55)</td></tr><tr><td>[EMPTY_CELL]</td><td>119 (68.0)</td><td>85 (73.9)</td><td>33 (57.9)</td><td>2.06 (1.05, 4.03)</td></tr><tr><td>[EMPTY_CELL]</td><td>17 (9.7)</td><td>7 (6.1)</td><td>9 (15.8)</td><td>0.35 (0.12, 0.98)<sup>1</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>13 (7.4)</td><td>10 (8.7)</td><td>3 (5.3)</td><td>1.71 (0.45, 6.49)</td></tr><tr><td>[EMPTY_CELL]</td><td>33 (18.9)</td><td>24 (20.9)</td><td>8 (14.0)</td><td>1.61 (0.67, 3.86)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>70 (39.8)</td><td>40 (34.5)</td><td>28 (49.1)</td><td>0.54 (0.29, 1.04)</td></tr><tr><td>[EMPTY_CELL]</td><td>106 (60.2)</td><td>76 (65.5)</td><td>29 (50.9)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Socioeconomic status indicators</b>\", \"bbox\": [1, 4, 78, 22]}, {\"cell\": \"<b>All patients<i>n</i>= 176,<i>n</i>(%)</b>\", \"bbox\": [115, 4, 194, 22]}, {\"cell\": \"<b>Injured patients<i>n</i>= 116, n(%)</b>\", \"bbox\": [206, 4, 301, 22]}, {\"cell\": \"<b>Non-injured patients<i>n</i>= 57,<i>n</i>(%)</b>\", \"bbox\": [313, 4, 420, 22]}, {\"cell\": \"<b>OR (95% CI)**</b>\", \"bbox\": [433, 4, 483, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 38, 36]}, {\"cell\": \"79 (45.4)\", \"bbox\": [115, 26, 144, 36]}, {\"cell\": \"52 (45.2)\", \"bbox\": [206, 26, 235, 36]}, {\"cell\": \"27 (48.2)\", \"bbox\": [313, 26, 342, 36]}, {\"cell\": \"0.89 (0.47, 1.68)\", \"bbox\": [432, 26, 483, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 33, 50]}, {\"cell\": \"153 (87.4)\", \"bbox\": [115, 40, 148, 50]}, {\"cell\": \"100 (87.0)\", \"bbox\": [206, 40, 239, 50]}, {\"cell\": \"52 (91.2)\", \"bbox\": [313, 40, 342, 50]}, {\"cell\": \"0.64 (0.22, 1.86)\", \"bbox\": [432, 40, 483, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 20, 64]}, {\"cell\": \"148 (84.6)\", \"bbox\": [115, 54, 148, 64]}, {\"cell\": \"97 (84.3)\", \"bbox\": [206, 54, 235, 64]}, {\"cell\": \"48 (84.2)\", \"bbox\": [313, 54, 342, 64]}, {\"cell\": \"1.01 (0.42, 2.42)\", \"bbox\": [432, 54, 483, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 34, 78]}, {\"cell\": \"132 (75.4)\", \"bbox\": [115, 68, 148, 78]}, {\"cell\": \"89 (77.4)\", \"bbox\": [206, 68, 235, 78]}, {\"cell\": \"41 (71.9)\", \"bbox\": [313, 68, 342, 78]}, {\"cell\": \"1.34 (0.65, 2.76)\", \"bbox\": [432, 68, 483, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 55, 92]}, {\"cell\": \"120 (69.0)\", \"bbox\": [115, 82, 148, 92]}, {\"cell\": \"84 (73.7)\", \"bbox\": [206, 82, 235, 92]}, {\"cell\": \"34 (59.6)\", \"bbox\": [313, 82, 342, 92]}, {\"cell\": \"1.89 (0.97, 3.71)\", \"bbox\": [432, 82, 483, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 23, 106]}, {\"cell\": \"138 (78.9)\", \"bbox\": [115, 96, 148, 106]}, {\"cell\": \"92 (80.0)\", \"bbox\": [206, 96, 235, 106]}, {\"cell\": \"44 (77.2)\", \"bbox\": [313, 96, 342, 106]}, {\"cell\": \"1.18 (0.55, 2.55)\", \"bbox\": [432, 96, 483, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 39, 120]}, {\"cell\": \"119 (68.0)\", \"bbox\": [115, 110, 148, 120]}, {\"cell\": \"85 (73.9)\", \"bbox\": [206, 110, 235, 120]}, {\"cell\": \"33 (57.9)\", \"bbox\": [313, 110, 342, 120]}, {\"cell\": \"2.06 (1.05, 4.03)\", \"bbox\": [432, 110, 483, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 24, 134]}, {\"cell\": \"17 (9.7)\", \"bbox\": [115, 124, 140, 134]}, {\"cell\": \"7 (6.1)\", \"bbox\": [206, 124, 228, 134]}, {\"cell\": \"9 (15.8)\", \"bbox\": [313, 124, 339, 134]}, {\"cell\": \"0.35 (0.12, 0.98)<sup>1</sup>\", \"bbox\": [432, 124, 483, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 64, 157]}, {\"cell\": \"13 (7.4)\", \"bbox\": [115, 147, 140, 157]}, {\"cell\": \"10 (8.7)\", \"bbox\": [206, 147, 232, 157]}, {\"cell\": \"3 (5.3)\", \"bbox\": [313, 147, 335, 157]}, {\"cell\": \"1.71 (0.45, 6.49)\", \"bbox\": [432, 147, 483, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 161, 31, 171]}, {\"cell\": \"33 (18.9)\", \"bbox\": [115, 161, 144, 171]}, {\"cell\": \"24 (20.9)\", \"bbox\": [206, 161, 235, 171]}, {\"cell\": \"8 (14.0)\", \"bbox\": [313, 161, 339, 171]}, {\"cell\": \"1.61 (0.67, 3.86)\", \"bbox\": [432, 161, 483, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 175, 76, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 189, 17, 199]}, {\"cell\": \"70 (39.8)\", \"bbox\": [115, 189, 144, 199]}, {\"cell\": \"40 (34.5)\", \"bbox\": [206, 189, 235, 199]}, {\"cell\": \"28 (49.1)\", \"bbox\": [313, 189, 342, 199]}, {\"cell\": \"0.54 (0.29, 1.04)\", \"bbox\": [432, 189, 483, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 203, 32, 213]}, {\"cell\": \"106 (60.2)\", \"bbox\": [115, 203, 148, 213]}, {\"cell\": \"76 (65.5)\", \"bbox\": [206, 203, 235, 213]}, {\"cell\": \"29 (50.9)\", \"bbox\": [313, 203, 342, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3517513_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}148{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Headache</b></td><td><b>Dizzy</b></td><td><b>Swelling pain of head-eye</b></td><td><b>Vertigo</b></td><td><b>Wrapped head</b></td><td><b>Heavy-headedness</b></td><td><b>Stretching</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Dizzy vision</td><td>Visual deterioration</td><td>Blurred vision</td><td>Dry</td><td>Eyes bulge</td><td>Deaf </td></tr><tr><td>[EMPTY_CELL]</td><td>Chest pain</td><td>Distending pain in hypochondrium</td><td>Soreness of waist</td><td>Weakness of knees</td><td>Oppression in chest</td><td>Stuffiness in chest </td></tr><tr><td>[EMPTY_CELL]</td><td>Abdominal distention</td><td>Numbness</td><td>Anorexia</td><td>Dry mouth</td><td>Insomnia</td><td>Dreamy</td></tr><tr><td>[EMPTY_CELL]</td><td>Bland taste in the mouth</td><td>Somnolence</td><td>Constipation</td><td>Short urine</td><td>Frequent nocturia</td><td>Sloppy stool </td></tr><tr><td>[EMPTY_CELL]</td><td>Torrid</td><td>Cold body</td><td>Cold limbs</td><td>Fear of cold</td><td>Exing heat in the chest palms and soles</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Headache</b>\", \"bbox\": [2, 9, 40, 19]}, {\"cell\": \"<b>Dizzy</b>\", \"bbox\": [91, 9, 114, 19]}, {\"cell\": \"<b>Swelling pain of head-eye</b>\", \"bbox\": [146, 4, 205, 25]}, {\"cell\": \"<b>Vertigo</b>\", \"bbox\": [235, 9, 263, 19]}, {\"cell\": \"<b>Wrapped head</b>\", \"bbox\": [295, 9, 349, 19]}, {\"cell\": \"<b>Heavy-headedness</b>\", \"bbox\": [373, 4, 416, 25]}, {\"cell\": \"<b>Stretching</b>\", \"bbox\": [448, 9, 487, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 32, 46, 43]}, {\"cell\": \"Dizzy vision\", \"bbox\": [79, 32, 125, 43]}, {\"cell\": \"Visual deterioration\", \"bbox\": [151, 27, 200, 48]}, {\"cell\": \"Blurred vision\", \"bbox\": [222, 32, 275, 43]}, {\"cell\": \"Dry\", \"bbox\": [314, 32, 330, 43]}, {\"cell\": \"Eyes bulge\", \"bbox\": [375, 32, 414, 43]}, {\"cell\": \"Deaf \", \"bbox\": [458, 32, 477, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 61, 35, 71]}, {\"cell\": \"Chest pain\", \"bbox\": [82, 61, 123, 71]}, {\"cell\": \"Distending pain in hypochondrium\", \"bbox\": [145, 50, 206, 82]}, {\"cell\": \"Soreness of waist\", \"bbox\": [227, 56, 270, 77]}, {\"cell\": \"Weakness of knees\", \"bbox\": [299, 56, 345, 77]}, {\"cell\": \"Oppression in chest\", \"bbox\": [368, 56, 421, 77]}, {\"cell\": \"Stuffiness in chest \", \"bbox\": [445, 56, 491, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 84, 48, 105]}, {\"cell\": \"Abdominal distention\", \"bbox\": [81, 84, 124, 105]}, {\"cell\": \"Numbness\", \"bbox\": [155, 89, 196, 100]}, {\"cell\": \"Anorexia\", \"bbox\": [231, 89, 266, 100]}, {\"cell\": \"Dry mouth\", \"bbox\": [300, 89, 343, 100]}, {\"cell\": \"Insomnia\", \"bbox\": [377, 89, 413, 100]}, {\"cell\": \"Dreamy\", \"bbox\": [452, 89, 483, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 107, 52, 128]}, {\"cell\": \"Bland taste in the mouth\", \"bbox\": [77, 107, 128, 128]}, {\"cell\": \"Somnolence\", \"bbox\": [152, 113, 199, 123]}, {\"cell\": \"Constipation\", \"bbox\": [224, 113, 273, 123]}, {\"cell\": \"Short urine\", \"bbox\": [300, 113, 343, 123]}, {\"cell\": \"Frequent nocturia\", \"bbox\": [378, 107, 412, 128]}, {\"cell\": \"Sloppy stool \", \"bbox\": [445, 113, 491, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 136, 61, 157]}, {\"cell\": \"Torrid\", \"bbox\": [90, 141, 115, 152]}, {\"cell\": \"Cold body\", \"bbox\": [156, 141, 195, 152]}, {\"cell\": \"Cold limbs\", \"bbox\": [228, 141, 269, 152]}, {\"cell\": \"Fear of cold\", \"bbox\": [300, 141, 344, 152]}, {\"cell\": \"Exing heat in the chest palms and soles\", \"bbox\": [366, 131, 423, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3371754_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}149{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Women (n = 32-33)</b></td><td colspan=\\\"6\\\"><b>Men (n = 58-60)</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Inner urban</b></td><td colspan=\\\"2\\\"><b>Suburban</b></td><td colspan=\\\"2\\\"><b>Difference</b></td><td colspan=\\\"2\\\"><b>Inner urban</b></td><td colspan=\\\"2\\\"><b>Suburban</b></td><td colspan=\\\"2\\\"><b>Difference</b></td></tr><tr><td><b>Item</b></td><td><b>Mean ± SD</b></td><td><b>Min - max</b></td><td><b>Mean ± SD</b></td><td><b>Min - max</b></td><td><b>Mean ± SD</b></td><td><b>p-value</b></td><td><b>Mean ± SD</b></td><td><b>Min - max</b></td><td><b>Mean ± SD</b></td><td><b>Min - max</b></td><td><b>Mean ± SD</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td>1. On the whole</td><td>[EMPTY_CELL]</td><td>4 - 14</td><td>10.78 ± 2.95</td><td>5 - 15</td><td>-0.75 ± 2.87</td><td>0.150</td><td>8.19 ± 3.61</td><td>1 - 15</td><td>10.24 ± 2.77</td><td>4 - 15</td><td>-2.05 ± 3.59</td><td>0.000</td></tr><tr><td>2. Hinders or stimulates</td><td>[EMPTY_CELL]</td><td>3 - 14</td><td>10.85 ± 3.03</td><td>1 - 15</td><td>-0.27 ± 3.10</td><td>0.616</td><td>8.90 ± 3.29</td><td>3 - 15</td><td>10.66 ± 2.65</td><td>4 - 15</td><td>-1.76 ± 3.47</td><td>0.000</td></tr><tr><td>3. Exhaust fumes</td><td>[EMPTY_CELL]</td><td>2 - 15</td><td>8.61 ± 2.84</td><td>3 - 14</td><td>1.58 ± 3.84</td><td>0.025</td><td>9.68 ± 3.00</td><td>3 - 15</td><td>7.52 ± 3.39</td><td>1 - 15</td><td>2.17 ± 3.66</td><td>0.000</td></tr><tr><td>4. Noise</td><td>[EMPTY_CELL]</td><td>3 - 15</td><td>8.24 ± 3.10</td><td>1 - 14</td><td>1.82 ± 3.96</td><td>0.013</td><td>9.83 ± 2.66</td><td>4 - 14</td><td>8.52 ± 3.46</td><td>1 - 14</td><td>1.32 ± 3.59</td><td>0.006</td></tr><tr><td>5. Flow of motor vehicles</td><td>[EMPTY_CELL]</td><td>3 - 15</td><td>9.45 ± 3.75</td><td>1 - 15</td><td>2.27 ± 4.03</td><td>0.003</td><td>11.38 ± 2.63</td><td>4 - 15</td><td>9.53 ± 3.95</td><td>1 - 15</td><td>1.84 ± 3.75</td><td>0.000</td></tr><tr><td>6. Speeds of motor vehicles</td><td>[EMPTY_CELL]</td><td>3 - 15</td><td>9.59 ± 2.34</td><td>3 - 14</td><td>-0.06 ± 1.50</td><td>0.815</td><td>8.92 ± 2.77</td><td>1 - 15</td><td>9.31 ± 2.76</td><td>1 - 15</td><td>-0.39 ± 2.28</td><td>0.195</td></tr><tr><td>7. Speeds of bicyclists</td><td>[EMPTY_CELL]</td><td>4 - 15</td><td>9.67 ± 2.57</td><td>5 - 15</td><td>0.48 ± 2.54</td><td>0.281</td><td>7.85 ± 2.04</td><td>4 - 14</td><td>8.55 ± 2.00</td><td>1 - 14</td><td>-0.70 ± 1.84</td><td>0.005</td></tr><tr><td>8. Congestion: all types of vehicles</td><td>[EMPTY_CELL]</td><td>2 - 15</td><td>7.50 ± 2.63</td><td>2 - 12</td><td>3.13 ± 3.38</td><td>0.000</td><td>10.53 ± 3.10</td><td>2 - 15</td><td>6.53 ± 3.11</td><td>1 - 15</td><td>4.00 ± 3.69</td><td>0.000</td></tr><tr><td>9. Congestion: bicyclists</td><td>[EMPTY_CELL]</td><td>2 - 15</td><td>6.48 ± 3.35</td><td>1 - 13</td><td>3.12 ± 4.58</td><td>0.000</td><td>8.17 ± 3.81</td><td>1 - 15</td><td>5.15 ± 3.27</td><td>1 - 12</td><td>3.02 ± 3.93</td><td>0.000</td></tr><tr><td>10. Conflicts</td><td>[EMPTY_CELL]</td><td>1 - 14</td><td>5.70 ± 3.65</td><td>1 - 13</td><td>2.73 ± 3.78</td><td>0.000</td><td>8.43 ± 3.97</td><td>1 - 15</td><td>5.38 ± 3.37</td><td>1 - 13</td><td>3.05 ± 3.98</td><td>0.000</td></tr><tr><td>11. Bicycle paths*</td><td>[EMPTY_CELL]</td><td>1 - 10</td><td>7.91 ± 2.18</td><td>2 - 10</td><td>-0.69 ± 3.25</td><td>0.240</td><td>6.44 ± 2.47</td><td>0 - 10</td><td>7.46 ± 2.49</td><td>1 - 10</td><td>-1.02 ± 3.50</td><td>0.029</td></tr><tr><td>12. Traffic: unsafe or safe</td><td>[EMPTY_CELL]</td><td>3 - 15</td><td>11.45 ± 2.59</td><td>8 - 15</td><td>-2.03 ± 3.04</td><td>0.001</td><td>8.77 ± 3.22</td><td>1 - 15</td><td>11.62 ± 2.58</td><td>5 - 15</td><td>-2.85 ± 3.44</td><td>0.000</td></tr><tr><td>13. Greenery</td><td>[EMPTY_CELL]</td><td>2 - 15</td><td>9.91 ± 3.47</td><td>1 - 15</td><td>-1.79 ± 4.49</td><td>0.029</td><td>6.14 ± 3.42</td><td>1 - 15</td><td>10.20 ± 3.18</td><td>1 - 15</td><td>-4.07 ± 4.48</td><td>0.000</td></tr><tr><td>14. Ugly or beautiful</td><td>[EMPTY_CELL]</td><td>5 - 15</td><td>11.12 ± 3.04</td><td>4 - 15</td><td>0.30 ± 3.79</td><td>0.649</td><td>9.47 ± 3.32</td><td>3 - 15</td><td>9.18 ± 3.29</td><td>3 - 15</td><td>0.28 ± 4.78</td><td>0.648</td></tr><tr><td>15. Course of the route</td><td>[EMPTY_CELL]</td><td>1 - 13</td><td>5.38 ± 3.66</td><td>1 - 13</td><td>1.22 ± 2.62</td><td>0.013</td><td>7.35 ± 3.24</td><td>2 - 14</td><td>5.38 ± 3.38</td><td>1 - 14</td><td>1.97 ± 3.96</td><td>0.000</td></tr><tr><td>16. Hilliness</td><td>[EMPTY_CELL]</td><td>1 - 13</td><td>6.21 ± 3.87</td><td>1 - 14</td><td>-0.39 ± 3.40</td><td>0.510</td><td>4.70 ± 3.30</td><td>1 - 12</td><td>6.52 ± 3.88</td><td>1 - 14</td><td>-1.82 ± 4.18</td><td>0.001</td></tr><tr><td>17. Red lights</td><td>[EMPTY_CELL]</td><td>1 - 15</td><td>5.33 ± 3.59</td><td>1 - 15</td><td>2.76 ± 3.64</td><td>0.000</td><td>7.65 ± 3.93</td><td>1 - 14</td><td>4.23 ± 3.38</td><td>1 - 13</td><td>3.42 ± 4.61</td><td>0.000</td></tr><tr><td>18. Short or long</td><td>[EMPTY_CELL]</td><td>1 - 10</td><td>6.91 ± 3.22</td><td>1 - 12</td><td>-0.33 ± 4.07</td><td>0.641</td><td>6.45 ± 2.22</td><td>2 - 10</td><td>7.20 ± 2.48</td><td>1 - 12</td><td>-0.75 ± 3.14</td><td>0.069</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Women (n = 32-33)</b>\", \"bbox\": [215, 4, 285, 13]}, {\"cell\": \"<b>Men (n = 58-60)</b>\", \"bbox\": [484, 4, 543, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Inner urban</b>\", \"bbox\": [142, 17, 185, 27]}, {\"cell\": \"<b>Suburban</b>\", \"bbox\": [237, 17, 273, 27]}, {\"cell\": \"<b>Difference</b>\", \"bbox\": [323, 17, 360, 27]}, {\"cell\": \"<b>Inner urban</b>\", \"bbox\": [406, 17, 449, 27]}, {\"cell\": \"<b>Suburban</b>\", \"bbox\": [501, 17, 536, 27]}, {\"cell\": \"<b>Difference</b>\", \"bbox\": [586, 17, 623, 27]}, {\"cell\": \"<b>Item</b>\", \"bbox\": [1, 30, 18, 40]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [122, 30, 162, 40]}, {\"cell\": \"<b>Min - max</b>\", \"bbox\": [169, 30, 206, 40]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [213, 30, 254, 40]}, {\"cell\": \"<b>Min - max</b>\", \"bbox\": [260, 30, 298, 40]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [304, 30, 345, 40]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [351, 30, 379, 40]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [385, 30, 426, 40]}, {\"cell\": \"<b>Min - max</b>\", \"bbox\": [432, 30, 470, 40]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [477, 30, 517, 40]}, {\"cell\": \"<b>Min - max</b>\", \"bbox\": [524, 30, 561, 40]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [568, 30, 608, 40]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [614, 30, 642, 40]}, {\"cell\": \"1. On the whole\", \"bbox\": [1, 44, 55, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 44, 163, 53]}, {\"cell\": \"4 - 14\", \"bbox\": [177, 44, 198, 53]}, {\"cell\": \"10.78 ± 2.95\", \"bbox\": [213, 44, 254, 53]}, {\"cell\": \"5 - 15\", \"bbox\": [268, 44, 290, 53]}, {\"cell\": \"-0.75 ± 2.87\", \"bbox\": [304, 44, 344, 53]}, {\"cell\": \"0.150\", \"bbox\": [355, 44, 374, 53]}, {\"cell\": \"8.19 ± 3.61\", \"bbox\": [387, 44, 424, 53]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 44, 462, 53]}, {\"cell\": \"10.24 ± 2.77\", \"bbox\": [476, 44, 518, 53]}, {\"cell\": \"4 - 15\", \"bbox\": [532, 44, 553, 53]}, {\"cell\": \"-2.05 ± 3.59\", \"bbox\": [568, 44, 608, 53]}, {\"cell\": \"0.000\", \"bbox\": [619, 44, 637, 53]}, {\"cell\": \"2. Hinders or stimulates\", \"bbox\": [1, 56, 78, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 56, 163, 65]}, {\"cell\": \"3 - 14\", \"bbox\": [177, 56, 198, 65]}, {\"cell\": \"10.85 ± 3.03\", \"bbox\": [213, 56, 254, 65]}, {\"cell\": \"1 - 15\", \"bbox\": [268, 56, 290, 65]}, {\"cell\": \"-0.27 ± 3.10\", \"bbox\": [304, 56, 344, 65]}, {\"cell\": \"0.616\", \"bbox\": [355, 56, 374, 65]}, {\"cell\": \"8.90 ± 3.29\", \"bbox\": [387, 56, 424, 65]}, {\"cell\": \"3 - 15\", \"bbox\": [441, 56, 462, 65]}, {\"cell\": \"10.66 ± 2.65\", \"bbox\": [476, 56, 518, 65]}, {\"cell\": \"4 - 15\", \"bbox\": [532, 56, 553, 65]}, {\"cell\": \"-1.76 ± 3.47\", \"bbox\": [568, 56, 608, 65]}, {\"cell\": \"0.000\", \"bbox\": [619, 56, 637, 65]}, {\"cell\": \"3. Exhaust fumes\", \"bbox\": [1, 67, 57, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 67, 163, 77]}, {\"cell\": \"2 - 15\", \"bbox\": [177, 67, 198, 77]}, {\"cell\": \"8.61 ± 2.84\", \"bbox\": [215, 67, 252, 77]}, {\"cell\": \"3 - 14\", \"bbox\": [268, 67, 290, 77]}, {\"cell\": \"1.58 ± 3.84\", \"bbox\": [306, 67, 343, 77]}, {\"cell\": \"0.025\", \"bbox\": [355, 67, 374, 77]}, {\"cell\": \"9.68 ± 3.00\", \"bbox\": [387, 67, 424, 77]}, {\"cell\": \"3 - 15\", \"bbox\": [441, 67, 462, 77]}, {\"cell\": \"7.52 ± 3.39\", \"bbox\": [478, 67, 516, 77]}, {\"cell\": \"1 - 15\", \"bbox\": [532, 67, 553, 77]}, {\"cell\": \"2.17 ± 3.66\", \"bbox\": [569, 67, 607, 77]}, {\"cell\": \"0.000\", \"bbox\": [619, 67, 637, 77]}, {\"cell\": \"4. Noise\", \"bbox\": [1, 79, 28, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 79, 163, 89]}, {\"cell\": \"3 - 15\", \"bbox\": [177, 79, 198, 89]}, {\"cell\": \"8.24 ± 3.10\", \"bbox\": [215, 79, 252, 89]}, {\"cell\": \"1 - 14\", \"bbox\": [268, 79, 290, 89]}, {\"cell\": \"1.82 ± 3.96\", \"bbox\": [306, 79, 343, 89]}, {\"cell\": \"0.013\", \"bbox\": [355, 79, 374, 89]}, {\"cell\": \"9.83 ± 2.66\", \"bbox\": [387, 79, 424, 89]}, {\"cell\": \"4 - 14\", \"bbox\": [441, 79, 462, 89]}, {\"cell\": \"8.52 ± 3.46\", \"bbox\": [478, 79, 516, 89]}, {\"cell\": \"1 - 14\", \"bbox\": [532, 79, 553, 89]}, {\"cell\": \"1.32 ± 3.59\", \"bbox\": [569, 79, 607, 89]}, {\"cell\": \"0.006\", \"bbox\": [619, 79, 637, 89]}, {\"cell\": \"5. Flow of motor vehicles\", \"bbox\": [1, 91, 84, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 91, 163, 101]}, {\"cell\": \"3 - 15\", \"bbox\": [177, 91, 198, 101]}, {\"cell\": \"9.45 ± 3.75\", \"bbox\": [215, 91, 252, 101]}, {\"cell\": \"1 - 15\", \"bbox\": [268, 91, 290, 101]}, {\"cell\": \"2.27 ± 4.03\", \"bbox\": [306, 91, 343, 101]}, {\"cell\": \"0.003\", \"bbox\": [355, 91, 374, 101]}, {\"cell\": \"11.38 ± 2.63\", \"bbox\": [385, 91, 426, 101]}, {\"cell\": \"4 - 15\", \"bbox\": [441, 91, 462, 101]}, {\"cell\": \"9.53 ± 3.95\", \"bbox\": [478, 91, 516, 101]}, {\"cell\": \"1 - 15\", \"bbox\": [532, 91, 553, 101]}, {\"cell\": \"1.84 ± 3.75\", \"bbox\": [569, 91, 607, 101]}, {\"cell\": \"0.000\", \"bbox\": [619, 91, 637, 101]}, {\"cell\": \"6. Speeds of motor vehicles\", \"bbox\": [1, 103, 92, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 103, 161, 113]}, {\"cell\": \"3 - 15\", \"bbox\": [177, 103, 198, 113]}, {\"cell\": \"9.59 ± 2.34\", \"bbox\": [215, 103, 252, 113]}, {\"cell\": \"3 - 14\", \"bbox\": [268, 103, 290, 113]}, {\"cell\": \"-0.06 ± 1.50\", \"bbox\": [304, 103, 344, 113]}, {\"cell\": \"0.815\", \"bbox\": [355, 103, 374, 113]}, {\"cell\": \"8.92 ± 2.77\", \"bbox\": [387, 103, 424, 113]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 103, 462, 113]}, {\"cell\": \"9.31 ± 2.76\", \"bbox\": [478, 103, 516, 113]}, {\"cell\": \"1 - 15\", \"bbox\": [532, 103, 553, 113]}, {\"cell\": \"-0.39 ± 2.28\", \"bbox\": [568, 103, 608, 113]}, {\"cell\": \"0.195\", \"bbox\": [619, 103, 637, 113]}, {\"cell\": \"7. Speeds of bicyclists\", \"bbox\": [1, 115, 73, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 115, 163, 125]}, {\"cell\": \"4 - 15\", \"bbox\": [177, 115, 198, 125]}, {\"cell\": \"9.67 ± 2.57\", \"bbox\": [215, 115, 252, 125]}, {\"cell\": \"5 - 15\", \"bbox\": [268, 115, 290, 125]}, {\"cell\": \"0.48 ± 2.54\", \"bbox\": [306, 115, 343, 125]}, {\"cell\": \"0.281\", \"bbox\": [355, 115, 374, 125]}, {\"cell\": \"7.85 ± 2.04\", \"bbox\": [387, 115, 424, 125]}, {\"cell\": \"4 - 14\", \"bbox\": [441, 115, 462, 125]}, {\"cell\": \"8.55 ± 2.00\", \"bbox\": [478, 115, 516, 125]}, {\"cell\": \"1 - 14\", \"bbox\": [532, 115, 553, 125]}, {\"cell\": \"-0.70 ± 1.84\", \"bbox\": [568, 115, 608, 125]}, {\"cell\": \"0.005\", \"bbox\": [619, 115, 637, 125]}, {\"cell\": \"8. Congestion: all types of vehicles\", \"bbox\": [1, 127, 114, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 127, 163, 137]}, {\"cell\": \"2 - 15\", \"bbox\": [177, 127, 198, 137]}, {\"cell\": \"7.50 ± 2.63\", \"bbox\": [215, 127, 252, 137]}, {\"cell\": \"2 - 12\", \"bbox\": [268, 127, 290, 137]}, {\"cell\": \"3.13 ± 3.38\", \"bbox\": [306, 127, 343, 137]}, {\"cell\": \"0.000\", \"bbox\": [355, 127, 374, 137]}, {\"cell\": \"10.53 ± 3.10\", \"bbox\": [385, 127, 426, 137]}, {\"cell\": \"2 - 15\", \"bbox\": [441, 127, 462, 137]}, {\"cell\": \"6.53 ± 3.11\", \"bbox\": [478, 127, 516, 137]}, {\"cell\": \"1 - 15\", \"bbox\": [532, 127, 553, 137]}, {\"cell\": \"4.00 ± 3.69\", \"bbox\": [569, 127, 607, 137]}, {\"cell\": \"0.000\", \"bbox\": [619, 127, 637, 137]}, {\"cell\": \"9. Congestion: bicyclists\", \"bbox\": [1, 139, 79, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 139, 161, 149]}, {\"cell\": \"2 - 15\", \"bbox\": [177, 139, 198, 149]}, {\"cell\": \"6.48 ± 3.35\", \"bbox\": [215, 139, 252, 149]}, {\"cell\": \"1 - 13\", \"bbox\": [268, 139, 290, 149]}, {\"cell\": \"3.12 ± 4.58\", \"bbox\": [306, 139, 343, 149]}, {\"cell\": \"0.000\", \"bbox\": [355, 139, 374, 149]}, {\"cell\": \"8.17 ± 3.81\", \"bbox\": [387, 139, 424, 149]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 139, 462, 149]}, {\"cell\": \"5.15 ± 3.27\", \"bbox\": [478, 139, 516, 149]}, {\"cell\": \"1 - 12\", \"bbox\": [532, 139, 553, 149]}, {\"cell\": \"3.02 ± 3.93\", \"bbox\": [569, 139, 607, 149]}, {\"cell\": \"0.000\", \"bbox\": [619, 139, 637, 149]}, {\"cell\": \"10. Conflicts\", \"bbox\": [1, 151, 41, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 151, 161, 161]}, {\"cell\": \"1 - 14\", \"bbox\": [177, 151, 198, 161]}, {\"cell\": \"5.70 ± 3.65\", \"bbox\": [215, 151, 252, 161]}, {\"cell\": \"1 - 13\", \"bbox\": [268, 151, 290, 161]}, {\"cell\": \"2.73 ± 3.78\", \"bbox\": [306, 151, 343, 161]}, {\"cell\": \"0.000\", \"bbox\": [355, 151, 374, 161]}, {\"cell\": \"8.43 ± 3.97\", \"bbox\": [387, 151, 424, 161]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 151, 462, 161]}, {\"cell\": \"5.38 ± 3.37\", \"bbox\": [478, 151, 516, 161]}, {\"cell\": \"1 - 13\", \"bbox\": [532, 151, 553, 161]}, {\"cell\": \"3.05 ± 3.98\", \"bbox\": [569, 151, 607, 161]}, {\"cell\": \"0.000\", \"bbox\": [619, 151, 637, 161]}, {\"cell\": \"11. Bicycle paths*\", \"bbox\": [1, 163, 59, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 163, 161, 173]}, {\"cell\": \"1 - 10\", \"bbox\": [177, 163, 198, 173]}, {\"cell\": \"7.91 ± 2.18\", \"bbox\": [215, 163, 252, 173]}, {\"cell\": \"2 - 10\", \"bbox\": [268, 163, 290, 173]}, {\"cell\": \"-0.69 ± 3.25\", \"bbox\": [304, 163, 344, 173]}, {\"cell\": \"0.240\", \"bbox\": [355, 163, 374, 173]}, {\"cell\": \"6.44 ± 2.47\", \"bbox\": [387, 163, 424, 173]}, {\"cell\": \"0 - 10\", \"bbox\": [441, 163, 462, 173]}, {\"cell\": \"7.46 ± 2.49\", \"bbox\": [478, 163, 516, 173]}, {\"cell\": \"1 - 10\", \"bbox\": [532, 163, 553, 173]}, {\"cell\": \"-1.02 ± 3.50\", \"bbox\": [568, 163, 608, 173]}, {\"cell\": \"0.029\", \"bbox\": [619, 163, 637, 173]}, {\"cell\": \"12. Traffic: unsafe or safe\", \"bbox\": [1, 175, 82, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 175, 161, 185]}, {\"cell\": \"3 - 15\", \"bbox\": [177, 175, 198, 185]}, {\"cell\": \"11.45 ± 2.59\", \"bbox\": [213, 175, 254, 185]}, {\"cell\": \"8 - 15\", \"bbox\": [268, 175, 290, 185]}, {\"cell\": \"-2.03 ± 3.04\", \"bbox\": [304, 175, 344, 185]}, {\"cell\": \"0.001\", \"bbox\": [355, 175, 374, 185]}, {\"cell\": \"8.77 ± 3.22\", \"bbox\": [387, 175, 424, 185]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 175, 462, 185]}, {\"cell\": \"11.62 ± 2.58\", \"bbox\": [476, 175, 518, 185]}, {\"cell\": \"5 - 15\", \"bbox\": [532, 175, 553, 185]}, {\"cell\": \"-2.85 ± 3.44\", \"bbox\": [568, 175, 608, 185]}, {\"cell\": \"0.000\", \"bbox\": [619, 175, 637, 185]}, {\"cell\": \"13. Greenery\", \"bbox\": [1, 187, 43, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 187, 161, 197]}, {\"cell\": \"2 - 15\", \"bbox\": [177, 187, 198, 197]}, {\"cell\": \"9.91 ± 3.47\", \"bbox\": [215, 187, 252, 197]}, {\"cell\": \"1 - 15\", \"bbox\": [268, 187, 290, 197]}, {\"cell\": \"-1.79 ± 4.49\", \"bbox\": [304, 187, 344, 197]}, {\"cell\": \"0.029\", \"bbox\": [355, 187, 374, 197]}, {\"cell\": \"6.14 ± 3.42\", \"bbox\": [387, 187, 424, 197]}, {\"cell\": \"1 - 15\", \"bbox\": [441, 187, 462, 197]}, {\"cell\": \"10.20 ± 3.18\", \"bbox\": [476, 187, 518, 197]}, {\"cell\": \"1 - 15\", \"bbox\": [532, 187, 553, 197]}, {\"cell\": \"-4.07 ± 4.48\", \"bbox\": [568, 187, 608, 197]}, {\"cell\": \"0.000\", \"bbox\": [619, 187, 637, 197]}, {\"cell\": \"14. Ugly or beautiful\", \"bbox\": [1, 199, 68, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 199, 163, 209]}, {\"cell\": \"5 - 15\", \"bbox\": [177, 199, 198, 209]}, {\"cell\": \"11.12 ± 3.04\", \"bbox\": [213, 199, 254, 209]}, {\"cell\": \"4 - 15\", \"bbox\": [269, 199, 290, 209]}, {\"cell\": \"0.30 ± 3.79\", \"bbox\": [306, 199, 343, 209]}, {\"cell\": \"0.649\", \"bbox\": [355, 199, 374, 209]}, {\"cell\": \"9.47 ± 3.32\", \"bbox\": [387, 199, 424, 209]}, {\"cell\": \"3 - 15\", \"bbox\": [441, 199, 462, 209]}, {\"cell\": \"9.18 ± 3.29\", \"bbox\": [478, 199, 516, 209]}, {\"cell\": \"3 - 15\", \"bbox\": [532, 199, 553, 209]}, {\"cell\": \"0.28 ± 4.78\", \"bbox\": [569, 199, 607, 209]}, {\"cell\": \"0.648\", \"bbox\": [619, 199, 637, 209]}, {\"cell\": \"15. Course of the route\", \"bbox\": [1, 211, 78, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 211, 161, 220]}, {\"cell\": \"1 - 13\", \"bbox\": [177, 211, 198, 220]}, {\"cell\": \"5.38 ± 3.66\", \"bbox\": [215, 211, 252, 220]}, {\"cell\": \"1 - 13\", \"bbox\": [268, 211, 290, 220]}, {\"cell\": \"1.22 ± 2.62\", \"bbox\": [306, 211, 343, 220]}, {\"cell\": \"0.013\", \"bbox\": [355, 211, 374, 220]}, {\"cell\": \"7.35 ± 3.24\", \"bbox\": [387, 211, 424, 220]}, {\"cell\": \"2 - 14\", \"bbox\": [441, 211, 462, 220]}, {\"cell\": \"5.38 ± 3.38\", \"bbox\": [478, 211, 516, 220]}, {\"cell\": \"1 - 14\", \"bbox\": [532, 211, 553, 220]}, {\"cell\": \"1.97 ± 3.96\", \"bbox\": [569, 211, 607, 220]}, {\"cell\": \"0.000\", \"bbox\": [619, 211, 637, 220]}, {\"cell\": \"16. Hilliness\", \"bbox\": [1, 223, 39, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 223, 161, 232]}, {\"cell\": \"1 - 13\", \"bbox\": [177, 223, 198, 232]}, {\"cell\": \"6.21 ± 3.87\", \"bbox\": [215, 223, 252, 232]}, {\"cell\": \"1 - 14\", \"bbox\": [268, 223, 290, 232]}, {\"cell\": \"-0.39 ± 3.40\", \"bbox\": [304, 223, 344, 232]}, {\"cell\": \"0.510\", \"bbox\": [355, 223, 374, 232]}, {\"cell\": \"4.70 ± 3.30\", \"bbox\": [387, 223, 424, 232]}, {\"cell\": \"1 - 12\", \"bbox\": [441, 223, 462, 232]}, {\"cell\": \"6.52 ± 3.88\", \"bbox\": [478, 223, 516, 232]}, {\"cell\": \"1 - 14\", \"bbox\": [532, 223, 553, 232]}, {\"cell\": \"-1.82 ± 4.18\", \"bbox\": [568, 223, 608, 232]}, {\"cell\": \"0.001\", \"bbox\": [619, 223, 637, 232]}, {\"cell\": \"17. Red lights\", \"bbox\": [1, 235, 46, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 235, 161, 244]}, {\"cell\": \"1 - 15\", \"bbox\": [177, 235, 198, 244]}, {\"cell\": \"5.33 ± 3.59\", \"bbox\": [215, 235, 252, 244]}, {\"cell\": \"1 - 15\", \"bbox\": [268, 235, 290, 244]}, {\"cell\": \"2.76 ± 3.64\", \"bbox\": [306, 235, 343, 244]}, {\"cell\": \"0.000\", \"bbox\": [355, 235, 374, 244]}, {\"cell\": \"7.65 ± 3.93\", \"bbox\": [387, 235, 424, 244]}, {\"cell\": \"1 - 14\", \"bbox\": [441, 235, 462, 244]}, {\"cell\": \"4.23 ± 3.38\", \"bbox\": [478, 235, 516, 244]}, {\"cell\": \"1 - 13\", \"bbox\": [532, 235, 553, 244]}, {\"cell\": \"3.42 ± 4.61\", \"bbox\": [569, 235, 607, 244]}, {\"cell\": \"0.000\", \"bbox\": [619, 235, 637, 244]}, {\"cell\": \"18. Short or long\", \"bbox\": [1, 247, 57, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 247, 161, 256]}, {\"cell\": \"1 - 10\", \"bbox\": [177, 247, 198, 256]}, {\"cell\": \"6.91 ± 3.22\", \"bbox\": [215, 247, 252, 256]}, {\"cell\": \"1 - 12\", \"bbox\": [268, 247, 290, 256]}, {\"cell\": \"-0.33 ± 4.07\", \"bbox\": [304, 247, 344, 256]}, {\"cell\": \"0.641\", \"bbox\": [355, 247, 374, 256]}, {\"cell\": \"6.45 ± 2.22\", \"bbox\": [387, 247, 424, 256]}, {\"cell\": \"2 - 10\", \"bbox\": [441, 247, 462, 256]}, {\"cell\": \"7.20 ± 2.48\", \"bbox\": [478, 247, 516, 256]}, {\"cell\": \"1 - 12\", \"bbox\": [532, 247, 553, 256]}, {\"cell\": \"-0.75 ± 3.14\", \"bbox\": [568, 247, 608, 256]}, {\"cell\": \"0.069\", \"bbox\": [619, 247, 637, 256]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3032758_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}150{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Characteristics</b></td><td><b>Patients evaluated</b></td><td colspan=\\\"3\\\"><b>Population estimate</b></td></tr><tr><td><b><i>n</i> (missing)</b></td><td><b>Mean (SD)</b></td><td><b>Median</b></td><td><b>Min–Max</b></td></tr></thead><tbody><tr><td><i>N</i><sup>b</sup></td><td>[EMPTY_CELL]</td><td>464 (6632)</td><td>403</td><td>6–1721</td></tr><tr><td>Age, years</td><td>[EMPTY_CELL]</td><td>63.5 (17.4)</td><td>63.6</td><td>58.8–68.1</td></tr><tr><td>Male, %</td><td>[EMPTY_CELL]</td><td>68.3 (153)</td><td>68</td><td>43–100</td></tr><tr><td>Mean duration of COPD, years</td><td>[EMPTY_CELL]</td><td>8.0 (37.9)</td><td>7.1</td><td>5.8–11.3</td></tr><tr><td>Current smokers, %</td><td>[EMPTY_CELL]</td><td>43.2 (127)</td><td>42.9</td><td>0–65.0</td></tr><tr><td>Mean of pack-years of cigarettes</td><td>[EMPTY_CELL]</td><td>45.2 (98.6)</td><td>44.0</td><td>34.8–58.5</td></tr><tr><td>Mean baseline trough FEV<sub>1</sub> (L)</td><td>[EMPTY_CELL]</td><td>1.21 (3.65)</td><td>1.22</td><td>0.89–1.74</td></tr><tr><td>Mean % predicted FEV<sub>1</sub></td><td>[EMPTY_CELL]</td><td>45.6 (129)</td><td>45.2</td><td>32.8–60.1</td></tr><tr><td>% GOLD grade 2</td><td>[EMPTY_CELL]</td><td>29 (540)</td><td>19</td><td>0–99.7</td></tr><tr><td>% GOLD grades 3 and 4</td><td>[EMPTY_CELL]</td><td>60 (640)</td><td>54</td><td>0–100</td></tr><tr><td>Mean baseline SGRQ score</td><td>[EMPTY_CELL]</td><td>49.4 (79.4)</td><td>48.2</td><td>38.4–58.6</td></tr><tr><td>Mean BDI score</td><td>[EMPTY_CELL]</td><td>6.3 (8.4)</td><td>6.4</td><td>5.1–7.0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"<b>Patients evaluated</b>\", \"bbox\": [163, 4, 223, 13]}, {\"cell\": \"<b>Population estimate</b>\", \"bbox\": [279, 4, 345, 13]}, {\"cell\": \"<b><i>n</i> (missing)</b>\", \"bbox\": [163, 17, 199, 27]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [279, 17, 314, 27]}, {\"cell\": \"<b>Median</b>\", \"bbox\": [371, 17, 397, 27]}, {\"cell\": \"<b>Min–Max</b>\", \"bbox\": [453, 17, 484, 27]}, {\"cell\": \"<i>N</i><sup>b</sup>\", \"bbox\": [1, 29, 11, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 30, 187, 40]}, {\"cell\": \"464 (6632)\", \"bbox\": [279, 30, 315, 40]}, {\"cell\": \"403\", \"bbox\": [371, 30, 384, 40]}, {\"cell\": \"6–1721\", \"bbox\": [453, 30, 478, 40]}, {\"cell\": \"Age, years\", \"bbox\": [1, 44, 35, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 44, 187, 54]}, {\"cell\": \"63.5 (17.4)\", \"bbox\": [279, 44, 313, 54]}, {\"cell\": \"63.6\", \"bbox\": [371, 44, 386, 54]}, {\"cell\": \"58.8–68.1\", \"bbox\": [453, 44, 484, 54]}, {\"cell\": \"Male, %\", \"bbox\": [1, 58, 27, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 58, 187, 68]}, {\"cell\": \"68.3 (153)\", \"bbox\": [279, 58, 312, 68]}, {\"cell\": \"68\", \"bbox\": [371, 58, 380, 68]}, {\"cell\": \"43–100\", \"bbox\": [453, 58, 478, 68]}, {\"cell\": \"Mean duration of COPD, years\", \"bbox\": [1, 72, 100, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 72, 187, 82]}, {\"cell\": \"8.0 (37.9)\", \"bbox\": [279, 72, 310, 82]}, {\"cell\": \"7.1\", \"bbox\": [371, 72, 382, 82]}, {\"cell\": \"5.8–11.3\", \"bbox\": [453, 72, 481, 82]}, {\"cell\": \"Current smokers, %\", \"bbox\": [1, 86, 64, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 86, 190, 96]}, {\"cell\": \"43.2 (127)\", \"bbox\": [279, 86, 312, 96]}, {\"cell\": \"42.9\", \"bbox\": [371, 86, 386, 96]}, {\"cell\": \"0–65.0\", \"bbox\": [453, 86, 475, 96]}, {\"cell\": \"Mean of pack-years of cigarettes\", \"bbox\": [1, 100, 106, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 100, 187, 110]}, {\"cell\": \"45.2 (98.6)\", \"bbox\": [279, 100, 313, 110]}, {\"cell\": \"44.0\", \"bbox\": [371, 100, 386, 110]}, {\"cell\": \"34.8–58.5\", \"bbox\": [453, 100, 484, 110]}, {\"cell\": \"Mean baseline trough FEV<sub>1</sub> (L)\", \"bbox\": [1, 114, 99, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 114, 186, 124]}, {\"cell\": \"1.21 (3.65)\", \"bbox\": [279, 114, 313, 124]}, {\"cell\": \"1.22\", \"bbox\": [371, 114, 386, 124]}, {\"cell\": \"0.89–1.74\", \"bbox\": [453, 114, 484, 124]}, {\"cell\": \"Mean % predicted FEV<sub>1</sub>\", \"bbox\": [0, 128, 78, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 128, 187, 138]}, {\"cell\": \"45.6 (129)\", \"bbox\": [279, 128, 312, 138]}, {\"cell\": \"45.2\", \"bbox\": [371, 128, 386, 138]}, {\"cell\": \"32.8–60.1\", \"bbox\": [453, 128, 484, 138]}, {\"cell\": \"% GOLD grade 2\", \"bbox\": [1, 142, 57, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 142, 187, 152]}, {\"cell\": \"29 (540)\", \"bbox\": [279, 142, 307, 152]}, {\"cell\": \"19\", \"bbox\": [371, 142, 380, 152]}, {\"cell\": \"0–99.7\", \"bbox\": [453, 142, 475, 152]}, {\"cell\": \"% GOLD grades 3 and 4\", \"bbox\": [1, 156, 80, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 156, 187, 166]}, {\"cell\": \"60 (640)\", \"bbox\": [279, 156, 307, 166]}, {\"cell\": \"54\", \"bbox\": [371, 156, 380, 166]}, {\"cell\": \"0–100\", \"bbox\": [453, 156, 474, 166]}, {\"cell\": \"Mean baseline SGRQ score\", \"bbox\": [1, 170, 88, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 170, 187, 180]}, {\"cell\": \"49.4 (79.4)\", \"bbox\": [279, 170, 313, 180]}, {\"cell\": \"48.2\", \"bbox\": [371, 170, 386, 180]}, {\"cell\": \"38.4–58.6\", \"bbox\": [453, 170, 484, 180]}, {\"cell\": \"Mean BDI score\", \"bbox\": [1, 184, 53, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 184, 190, 194]}, {\"cell\": \"6.3 (8.4)\", \"bbox\": [279, 184, 306, 194]}, {\"cell\": \"6.4\", \"bbox\": [371, 184, 382, 194]}, {\"cell\": \"5.1–7.0\", \"bbox\": [453, 184, 477, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5422957_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}151{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>n</b></td><td><b>%</b></td></tr></thead><tbody><tr><td><b>Individual characteristics</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>18-39</td><td>[EMPTY_CELL]</td><td>29.2</td></tr><tr><td>40-49</td><td>[EMPTY_CELL]</td><td>36.3</td></tr><tr><td>50-65</td><td>[EMPTY_CELL]</td><td>34.5</td></tr><tr><td>Male</td><td>[EMPTY_CELL]</td><td>73.7</td></tr><tr><td>Educational level</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Low</td><td>[EMPTY_CELL]</td><td>19.5</td></tr><tr><td>Intermediate</td><td>[EMPTY_CELL]</td><td>27.0</td></tr><tr><td>High</td><td>[EMPTY_CELL]</td><td>53.5</td></tr><tr><td><b>Health behaviors and health</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Body mass index</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Normal weight (BMI < 25 kg/m<sup>2</sup>)</td><td>[EMPTY_CELL]</td><td>48.3</td></tr><tr><td>Overweight (25 ≤ BMI < 30 kg/m<sup>2</sup>)</td><td>[EMPTY_CELL]</td><td>40.3</td></tr><tr><td>Obese (BMI 30 kg/m<sup>2</sup> and higher)</td><td>[EMPTY_CELL]</td><td>11.4</td></tr><tr><td>Insufficient moderate physical activity (less than 30 min a day)</td><td>[EMPTY_CELL]</td><td>50.3</td></tr><tr><td>Insufficient vigorous physical activity (less than 3 days a week 20 min)</td><td>[EMPTY_CELL]</td><td>76.6</td></tr><tr><td>Insufficient fruit and vegetable intake (less than 400 grams a day)</td><td>[EMPTY_CELL]</td><td>66.3</td></tr><tr><td>Current smoker</td><td>[EMPTY_CELL]</td><td>18.8</td></tr><tr><td>Less than good self-perceived health</td><td>[EMPTY_CELL]</td><td>4.4</td></tr><tr><td><b>Participation in a health promotion program</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Intention to participate</td><td>[EMPTY_CELL]</td><td>26.2</td></tr><tr><td>Participated during the 12 month period prior to enrollment</td><td>[EMPTY_CELL]</td><td>12.8</td></tr><tr><td>Participation during the six-month follow-up period</td><td>[EMPTY_CELL]</td><td>11.2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n</b>\", \"bbox\": [207, 4, 213, 13]}, {\"cell\": \"<b>%</b>\", \"bbox\": [225, 4, 233, 13]}, {\"cell\": \"<b>Individual characteristics</b>\", \"bbox\": [1, 17, 88, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age\", \"bbox\": [1, 31, 15, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18-39\", \"bbox\": [10, 45, 30, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 45, 217, 55]}, {\"cell\": \"29.2\", \"bbox\": [222, 45, 236, 55]}, {\"cell\": \"40-49\", \"bbox\": [10, 59, 30, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 59, 217, 69]}, {\"cell\": \"36.3\", \"bbox\": [222, 59, 236, 69]}, {\"cell\": \"50-65\", \"bbox\": [10, 73, 30, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 73, 217, 83]}, {\"cell\": \"34.5\", \"bbox\": [222, 73, 236, 83]}, {\"cell\": \"Male\", \"bbox\": [1, 87, 18, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 87, 217, 97]}, {\"cell\": \"73.7\", \"bbox\": [222, 87, 236, 97]}, {\"cell\": \"Educational level\", \"bbox\": [1, 101, 56, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [10, 115, 26, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 115, 217, 125]}, {\"cell\": \"19.5\", \"bbox\": [222, 115, 236, 125]}, {\"cell\": \"Intermediate\", \"bbox\": [10, 129, 53, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 129, 217, 139]}, {\"cell\": \"27.0\", \"bbox\": [222, 129, 236, 139]}, {\"cell\": \"High\", \"bbox\": [10, 143, 27, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 143, 217, 153]}, {\"cell\": \"53.5\", \"bbox\": [222, 143, 236, 153]}, {\"cell\": \"<b>Health behaviors and health</b>\", \"bbox\": [1, 157, 101, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Body mass index\", \"bbox\": [1, 171, 57, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal weight (BMI < 25 kg/m<sup>2</sup>)\", \"bbox\": [10, 183, 116, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 185, 217, 195]}, {\"cell\": \"48.3\", \"bbox\": [222, 185, 236, 195]}, {\"cell\": \"Overweight (25 ≤ BMI < 30 kg/m<sup>2</sup>)\", \"bbox\": [10, 197, 122, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 199, 217, 209]}, {\"cell\": \"40.3\", \"bbox\": [222, 199, 236, 209]}, {\"cell\": \"Obese (BMI 30 kg/m<sup>2</sup> and higher)\", \"bbox\": [10, 211, 120, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 213, 215, 223]}, {\"cell\": \"11.4\", \"bbox\": [222, 213, 236, 223]}, {\"cell\": \"Insufficient moderate physical activity (less than 30 min a day)\", \"bbox\": [1, 227, 194, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 227, 217, 237]}, {\"cell\": \"50.3\", \"bbox\": [222, 227, 236, 237]}, {\"cell\": \"Insufficient vigorous physical activity (less than 3 days a week 20 min)\", \"bbox\": [1, 241, 175, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 241, 217, 251]}, {\"cell\": \"76.6\", \"bbox\": [222, 241, 236, 251]}, {\"cell\": \"Insufficient fruit and vegetable intake (less than 400 grams a day)\", \"bbox\": [1, 264, 199, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 264, 217, 274]}, {\"cell\": \"66.3\", \"bbox\": [222, 264, 236, 274]}, {\"cell\": \"Current smoker\", \"bbox\": [1, 278, 52, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 278, 217, 288]}, {\"cell\": \"18.8\", \"bbox\": [222, 278, 236, 288]}, {\"cell\": \"Less than good self-perceived health\", \"bbox\": [1, 292, 121, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 292, 215, 302]}, {\"cell\": \"4.4\", \"bbox\": [223, 292, 234, 302]}, {\"cell\": \"<b>Participation in a health promotion program</b>\", \"bbox\": [1, 306, 158, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Intention to participate\", \"bbox\": [1, 320, 76, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 320, 217, 330]}, {\"cell\": \"26.2\", \"bbox\": [222, 320, 236, 330]}, {\"cell\": \"Participated during the 12 month period prior to enrollment\", \"bbox\": [1, 334, 197, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 334, 215, 344]}, {\"cell\": \"12.8\", \"bbox\": [222, 334, 236, 344]}, {\"cell\": \"Participation during the six-month follow-up period\", \"bbox\": [1, 348, 169, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 348, 215, 358]}, {\"cell\": \"11.2\", \"bbox\": [222, 348, 236, 358]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4066706_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}152{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Model 1: Unadjusted associations at t1 (CI)</b></td><td><b>Model 2: Fully adjusted at t1 (CI)</b></td><td><b>Model 3: Unadjusted change in outcome t0 to t1 (CI)</b></td><td><b>Model 4: Fully adjusted change in outcome t0 to t1 (CI)</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Physical Activity<sup>a</sup> (Adjusted Odds Ratios)</td></tr><tr><td> Men</td><td><b>2.52 (1.65; 3.84)</b></td><td><b>1.75 (1.04; 2.96)</b></td><td>[EMPTY_CELL]</td><td>1.69 (0.99; 2.88)</td></tr><tr><td> Women</td><td><b>4.06 (2.78; 5.92)</b></td><td><b>2.03 (1.27; 3.23)</b></td><td>[EMPTY_CELL]</td><td><b>1.67 (1.03; 2.72)</b></td></tr><tr><td colspan=\\\"5\\\">Body Mass Index (Coefficients in kg/m<sup>2</sup>)</td></tr><tr><td> Men</td><td><b>−0.76 (−1.39; − 0.13)</b></td><td>−0.50 (− 1.09; 0.09)</td><td>[EMPTY_CELL]</td><td>−0.01 (− 0.23; 0.21)</td></tr><tr><td> Women</td><td><b>−2.30 (− 3.22; − 1.39)</b></td><td><b>−2.03 (− 2.84; − 1.21)</b></td><td>[EMPTY_CELL]</td><td>− 0.40 (− 0.82; 0.01)</td></tr><tr><td colspan=\\\"5\\\">Waist Circumference (Coefficients in centimetres)</td></tr><tr><td> Men</td><td><b>−2.58 (−4.29; − 0.87)</b></td><td>−1.39 (− 2.99; 0.22)</td><td>[EMPTY_CELL]</td><td>− 0.62 (− 1.45; 0.21)</td></tr><tr><td> Women</td><td><b>− 5.14 (− 7.16; − 3.11)</b></td><td><b>−4.11 (− 5.98; − 2.25)</b></td><td>[EMPTY_CELL]</td><td>−1.10 (− 2.26; 0.05)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Model 1: Unadjusted associations at t1 (CI)</b>\", \"bbox\": [52, 4, 161, 22]}, {\"cell\": \"<b>Model 2: Fully adjusted at t1 (CI)</b>\", \"bbox\": [178, 4, 254, 22]}, {\"cell\": \"<b>Model 3: Unadjusted change in outcome t0 to t1 (CI)</b>\", \"bbox\": [271, 4, 365, 22]}, {\"cell\": \"<b>Model 4: Fully adjusted change in outcome t0 to t1 (CI)</b>\", \"bbox\": [382, 4, 484, 22]}, {\"cell\": \"Physical Activity<sup>a</sup> (Adjusted Odds Ratios)\", \"bbox\": [1, 24, 131, 36]}, {\"cell\": \" Men\", \"bbox\": [8, 40, 25, 50]}, {\"cell\": \"<b>2.52 (1.65; 3.84)</b>\", \"bbox\": [52, 40, 109, 49]}, {\"cell\": \"<b>1.75 (1.04; 2.96)</b>\", \"bbox\": [178, 40, 235, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 40, 328, 49]}, {\"cell\": \"1.69 (0.99; 2.88)\", \"bbox\": [382, 40, 433, 50]}, {\"cell\": \" Women\", \"bbox\": [8, 54, 36, 64]}, {\"cell\": \"<b>4.06 (2.78; 5.92)</b>\", \"bbox\": [52, 54, 109, 63]}, {\"cell\": \"<b>2.03 (1.27; 3.23)</b>\", \"bbox\": [178, 54, 235, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 54, 328, 63]}, {\"cell\": \"<b>1.67 (1.03; 2.72)</b>\", \"bbox\": [382, 54, 439, 63]}, {\"cell\": \"Body Mass Index (Coefficients in kg/m<sup>2</sup>)\", \"bbox\": [1, 66, 130, 78]}, {\"cell\": \" Men\", \"bbox\": [8, 82, 25, 92]}, {\"cell\": \"<b>−0.76 (−1.39; − 0.13)</b>\", \"bbox\": [52, 82, 125, 91]}, {\"cell\": \"−0.50 (− 1.09; 0.09)\", \"bbox\": [178, 82, 240, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 82, 333, 92]}, {\"cell\": \"−0.01 (− 0.23; 0.21)\", \"bbox\": [382, 82, 444, 92]}, {\"cell\": \" Women\", \"bbox\": [8, 96, 36, 106]}, {\"cell\": \"<b>−2.30 (− 3.22; − 1.39)</b>\", \"bbox\": [52, 96, 127, 105]}, {\"cell\": \"<b>−2.03 (− 2.84; − 1.21)</b>\", \"bbox\": [178, 96, 252, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 96, 334, 106]}, {\"cell\": \"− 0.40 (− 0.82; 0.01)\", \"bbox\": [382, 96, 445, 106]}, {\"cell\": \"Waist Circumference (Coefficients in centimetres)\", \"bbox\": [1, 110, 160, 120]}, {\"cell\": \" Men\", \"bbox\": [8, 124, 25, 134]}, {\"cell\": \"<b>−2.58 (−4.29; − 0.87)</b>\", \"bbox\": [52, 124, 125, 133]}, {\"cell\": \"−1.39 (− 2.99; 0.22)\", \"bbox\": [178, 124, 240, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 124, 334, 134]}, {\"cell\": \"− 0.62 (− 1.45; 0.21)\", \"bbox\": [382, 124, 445, 134]}, {\"cell\": \" Women\", \"bbox\": [8, 138, 36, 148]}, {\"cell\": \"<b>− 5.14 (− 7.16; − 3.11)</b>\", \"bbox\": [52, 138, 128, 147]}, {\"cell\": \"<b>−4.11 (− 5.98; − 2.25)</b>\", \"bbox\": [178, 138, 252, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 138, 334, 148]}, {\"cell\": \"−1.10 (− 2.26; 0.05)\", \"bbox\": [382, 138, 444, 148]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5879764_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}153{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Control (<i>n</i> = 30)</b></td><td><b><i>Chlorella </i>(<i>n</i> = 33)</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td>Age</td><td>50.9 ± 1.6</td><td>[EMPTY_CELL]</td><td>0.281</td></tr><tr><td>Female/male (n)</td><td>22/8</td><td>[EMPTY_CELL]</td><td>0.565</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>24.5 ± 0.5</td><td>[EMPTY_CELL]</td><td>0.488</td></tr><tr><td>Fasting glucose (mmol/L)<sup>#</sup></td><td>5.5 ± 0.1</td><td>[EMPTY_CELL]</td><td>0.499</td></tr><tr><td>Systolic BP (mmHg)</td><td>120.1 ± 2.1</td><td>[EMPTY_CELL]</td><td>0.981</td></tr><tr><td>Diastolic BP (mmHg)</td><td>75.8 ± 1.3</td><td>[EMPTY_CELL]</td><td>0.787</td></tr><tr><td>Lipid profiles</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TC (mmol/L)</td><td>5.68 ± 0.10</td><td>[EMPTY_CELL]</td><td>0.587</td></tr><tr><td>TG (mmol/L)<sup>#</sup></td><td>1.49 ± 0.14</td><td>[EMPTY_CELL]</td><td>0.137</td></tr><tr><td>LDL-C (mmol/L)</td><td>3.34 ± 0.10</td><td>[EMPTY_CELL]</td><td>0.262</td></tr><tr><td>HDL-C (mmol/L)</td><td>1.40 ± 0.06</td><td>[EMPTY_CELL]</td><td>0.914</td></tr><tr><td>VLDL-C (mmol/L)<sup>#</sup></td><td>0.68 ± 0.06</td><td>[EMPTY_CELL]</td><td>0.163</td></tr><tr><td>non-HDL-C (mmol/L)</td><td>4.26 ± 0.11</td><td>[EMPTY_CELL]</td><td>0.568</td></tr><tr><td>Apo A1 (g/L)</td><td>1.47 ± 0.05</td><td>[EMPTY_CELL]</td><td>0.493</td></tr><tr><td>Apo B (g/L)</td><td>1.07 ± 0.03</td><td>[EMPTY_CELL]</td><td>0.886</td></tr><tr><td>Apo E (g/L)<sup>#</sup></td><td>0.05 ± 0.00</td><td>[EMPTY_CELL]</td><td>0.747</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 34, 13]}, {\"cell\": \"<b>Control (<i>n</i> = 30)</b>\", \"bbox\": [172, 4, 227, 13]}, {\"cell\": \"<b><i>Chlorella </i>(<i>n</i> = 33)</b>\", \"bbox\": [313, 4, 372, 13]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"Age\", \"bbox\": [1, 17, 15, 27]}, {\"cell\": \"50.9 ± 1.6\", \"bbox\": [184, 17, 216, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 17, 358, 27]}, {\"cell\": \"0.281\", \"bbox\": [461, 17, 480, 27]}, {\"cell\": \"Female/male (n)\", \"bbox\": [1, 31, 55, 41]}, {\"cell\": \"22/8\", \"bbox\": [192, 31, 208, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 31, 352, 41]}, {\"cell\": \"0.565\", \"bbox\": [461, 31, 480, 41]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [1, 43, 41, 55]}, {\"cell\": \"24.5 ± 0.5\", \"bbox\": [184, 45, 216, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 45, 358, 55]}, {\"cell\": \"0.488\", \"bbox\": [461, 45, 480, 55]}, {\"cell\": \"Fasting glucose (mmol/L)<sup>#</sup>\", \"bbox\": [1, 57, 87, 69]}, {\"cell\": \"5.5 ± 0.1\", \"bbox\": [186, 59, 214, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 59, 356, 69]}, {\"cell\": \"0.499\", \"bbox\": [461, 59, 480, 69]}, {\"cell\": \"Systolic BP (mmHg)\", \"bbox\": [1, 73, 65, 83]}, {\"cell\": \"120.1 ± 2.1\", \"bbox\": [182, 73, 217, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 73, 360, 83]}, {\"cell\": \"0.981\", \"bbox\": [461, 73, 480, 83]}, {\"cell\": \"Diastolic BP (mmHg)\", \"bbox\": [1, 87, 68, 97]}, {\"cell\": \"75.8 ± 1.3\", \"bbox\": [184, 87, 216, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 87, 358, 97]}, {\"cell\": \"0.787\", \"bbox\": [461, 87, 480, 97]}, {\"cell\": \"Lipid profiles\", \"bbox\": [1, 101, 43, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TC (mmol/L)\", \"bbox\": [10, 115, 52, 125]}, {\"cell\": \"5.68 ± 0.10\", \"bbox\": [182, 115, 217, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 115, 360, 125]}, {\"cell\": \"0.587\", \"bbox\": [461, 115, 480, 125]}, {\"cell\": \"TG (mmol/L)<sup>#</sup>\", \"bbox\": [10, 127, 55, 139]}, {\"cell\": \"1.49 ± 0.14\", \"bbox\": [182, 129, 217, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 129, 360, 139]}, {\"cell\": \"0.137\", \"bbox\": [461, 129, 480, 139]}, {\"cell\": \"LDL-C (mmol/L)\", \"bbox\": [10, 143, 63, 153]}, {\"cell\": \"3.34 ± 0.10\", \"bbox\": [182, 143, 217, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 143, 360, 153]}, {\"cell\": \"0.262\", \"bbox\": [461, 143, 480, 153]}, {\"cell\": \"HDL-C (mmol/L)\", \"bbox\": [10, 157, 64, 167]}, {\"cell\": \"1.40 ± 0.06\", \"bbox\": [182, 157, 217, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 157, 360, 167]}, {\"cell\": \"0.914\", \"bbox\": [461, 157, 480, 167]}, {\"cell\": \"VLDL-C (mmol/L)<sup>#</sup>\", \"bbox\": [10, 169, 70, 181]}, {\"cell\": \"0.68 ± 0.06\", \"bbox\": [182, 171, 217, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 171, 360, 181]}, {\"cell\": \"0.163\", \"bbox\": [461, 171, 480, 181]}, {\"cell\": \"non-HDL-C (mmol/L)\", \"bbox\": [10, 185, 79, 195]}, {\"cell\": \"4.26 ± 0.11\", \"bbox\": [182, 185, 217, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 185, 360, 195]}, {\"cell\": \"0.568\", \"bbox\": [461, 185, 480, 195]}, {\"cell\": \"Apo A1 (g/L)\", \"bbox\": [10, 199, 53, 209]}, {\"cell\": \"1.47 ± 0.05\", \"bbox\": [182, 199, 217, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 199, 360, 209]}, {\"cell\": \"0.493\", \"bbox\": [461, 199, 480, 209]}, {\"cell\": \"Apo B (g/L)\", \"bbox\": [10, 213, 49, 223]}, {\"cell\": \"1.07 ± 0.03\", \"bbox\": [182, 213, 217, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 213, 360, 223]}, {\"cell\": \"0.886\", \"bbox\": [461, 213, 480, 223]}, {\"cell\": \"Apo E (g/L)<sup>#</sup>\", \"bbox\": [10, 225, 51, 237]}, {\"cell\": \"0.05 ± 0.00\", \"bbox\": [182, 227, 217, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 227, 360, 237]}, {\"cell\": \"0.747\", \"bbox\": [461, 227, 480, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4066283_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}154{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Evaluation</b></td><td><b>Method</b></td><td><b>Enzyme</b></td><td><b>Ion Channel</b></td><td><b>GPCR</b></td><td><b>Nuclear Receptor</b></td></tr></thead><tbody><tr><td rowspan=\\\"7\\\">[EMPTY_CELL]</td><td>NetLapRLS</td><td>0.972 ± 0.002</td><td>0.969 ± 0.003</td><td>0.915 ± 0.006</td><td>0.850 ± 0.021</td></tr><tr><td>[EMPTY_CELL]</td><td>0.978 ± 0.002</td><td>0.981 ± 0.002</td><td>0.950 ± 0.006</td><td>0.905 ± 0.023</td></tr><tr><td>[EMPTY_CELL]</td><td>0.964 ± 0.003</td><td>0.959 ± 0.003</td><td>0.944 ± 0.005</td><td>0.901 ± 0.017</td></tr><tr><td>[EMPTY_CELL]</td><td>0.905 ± 0.003</td><td>0.961 ± 0.003</td><td>0.926 ± 0.006</td><td>0.877 ± 0.023</td></tr><tr><td>[EMPTY_CELL]</td><td>0.969 ± 0.002</td><td>0.981 ± 0.002</td><td>0.940 ± 0.007</td><td>0.864 ± 0.026</td></tr><tr><td>[EMPTY_CELL]</td><td><b>0.987</b>± 0.001</td><td><underline>0.989</underline> ± 0.001</td><td><b>0.969</b>± 0.004</td><td><b>0.950</b>± 0.011</td></tr><tr><td>[EMPTY_CELL]</td><td><underline>0.981</underline> ± 0.004</td><td><b>0.990</b>± 0.014</td><td><underline>0.952</underline> ± 0.009</td><td><underline>0.906</underline> ± 0.067</td></tr><tr><td rowspan=\\\"7\\\">[EMPTY_CELL]</td><td>NetLapRLS</td><td>0.789 ± 0.005</td><td>0.837 ± 0.009</td><td>0.616 ± 0.015</td><td>0.465 ± 0.044</td></tr><tr><td>[EMPTY_CELL]</td><td>0.752 ± 0.011</td><td>0.821 ± 0.012</td><td>0.524 ± 0.024</td><td><underline>0.659</underline> ± 0.039</td></tr><tr><td>[EMPTY_CELL]</td><td>0.706 ± 0.017</td><td>0.717 ± 0.020</td><td>0.520 ± 0.021</td><td>0.589 ± 0.034</td></tr><tr><td>[EMPTY_CELL]</td><td>0.654 ± 0.008</td><td>0.771 ± 0.009</td><td>0.578 ± 0.018</td><td>0.534 ± 0.050</td></tr><tr><td>[EMPTY_CELL]</td><td>0.877 ± 0.005</td><td><b>0.923</b>± 0.006</td><td>0.745 ± 0.013</td><td>0.584 ± 0.042</td></tr><tr><td>[EMPTY_CELL]</td><td><underline>0.892</underline> ± 0.006</td><td>0.906 ± 0.008</td><td><underline>0.749</underline> ± 0.015</td><td><b>0.728</b>± 0.041</td></tr><tr><td>[EMPTY_CELL]</td><td><b>0.895</b>± 0.011</td><td><underline>0.921</underline> ± 0.036</td><td><b>0.786</b>± 0.023</td><td>0.603 ± 0.087</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Evaluation</b>\", \"bbox\": [6, 5, 48, 14]}, {\"cell\": \"<b>Method</b>\", \"bbox\": [81, 5, 112, 14]}, {\"cell\": \"<b>Enzyme</b>\", \"bbox\": [137, 5, 168, 14]}, {\"cell\": \"<b>Ion Channel</b>\", \"bbox\": [187, 5, 235, 14]}, {\"cell\": \"<b>GPCR</b>\", \"bbox\": [257, 5, 282, 14]}, {\"cell\": \"<b>Nuclear Receptor</b>\", \"bbox\": [304, 5, 369, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 47, 27, 57]}, {\"cell\": \"NetLapRLS\", \"bbox\": [75, 19, 118, 29]}, {\"cell\": \"0.972 ± 0.002\", \"bbox\": [128, 19, 177, 29]}, {\"cell\": \"0.969 ± 0.003\", \"bbox\": [187, 19, 235, 29]}, {\"cell\": \"0.915 ± 0.006\", \"bbox\": [245, 19, 294, 29]}, {\"cell\": \"0.850 ± 0.021\", \"bbox\": [312, 19, 360, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 28, 114, 38]}, {\"cell\": \"0.978 ± 0.002\", \"bbox\": [128, 28, 177, 38]}, {\"cell\": \"0.981 ± 0.002\", \"bbox\": [187, 28, 235, 38]}, {\"cell\": \"0.950 ± 0.006\", \"bbox\": [245, 28, 294, 38]}, {\"cell\": \"0.905 ± 0.023\", \"bbox\": [312, 28, 360, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 38, 116, 48]}, {\"cell\": \"0.964 ± 0.003\", \"bbox\": [128, 38, 177, 48]}, {\"cell\": \"0.959 ± 0.003\", \"bbox\": [187, 38, 235, 48]}, {\"cell\": \"0.944 ± 0.005\", \"bbox\": [245, 38, 294, 48]}, {\"cell\": \"0.901 ± 0.017\", \"bbox\": [312, 38, 360, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 47, 114, 57]}, {\"cell\": \"0.905 ± 0.003\", \"bbox\": [128, 47, 177, 57]}, {\"cell\": \"0.961 ± 0.003\", \"bbox\": [187, 47, 235, 57]}, {\"cell\": \"0.926 ± 0.006\", \"bbox\": [245, 47, 294, 57]}, {\"cell\": \"0.877 ± 0.023\", \"bbox\": [312, 47, 360, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 57, 106, 67]}, {\"cell\": \"0.969 ± 0.002\", \"bbox\": [128, 57, 177, 67]}, {\"cell\": \"0.981 ± 0.002\", \"bbox\": [187, 57, 235, 67]}, {\"cell\": \"0.940 ± 0.007\", \"bbox\": [245, 57, 294, 67]}, {\"cell\": \"0.864 ± 0.026\", \"bbox\": [312, 57, 360, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 66, 112, 76]}, {\"cell\": \"<b>0.987</b>± 0.001\", \"bbox\": [128, 66, 177, 76]}, {\"cell\": \"<underline>0.989</underline> ± 0.001\", \"bbox\": [187, 66, 235, 76]}, {\"cell\": \"<b>0.969</b>± 0.004\", \"bbox\": [245, 66, 294, 76]}, {\"cell\": \"<b>0.950</b>± 0.011\", \"bbox\": [312, 66, 360, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 76, 111, 86]}, {\"cell\": \"<underline>0.981</underline> ± 0.004\", \"bbox\": [128, 76, 177, 86]}, {\"cell\": \"<b>0.990</b>± 0.014\", \"bbox\": [187, 76, 235, 86]}, {\"cell\": \"<underline>0.952</underline> ± 0.009\", \"bbox\": [245, 76, 294, 86]}, {\"cell\": \"<underline>0.906</underline> ± 0.067\", \"bbox\": [312, 76, 360, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 119, 31, 129]}, {\"cell\": \"NetLapRLS\", \"bbox\": [75, 90, 118, 100]}, {\"cell\": \"0.789 ± 0.005\", \"bbox\": [128, 90, 177, 100]}, {\"cell\": \"0.837 ± 0.009\", \"bbox\": [187, 90, 235, 100]}, {\"cell\": \"0.616 ± 0.015\", \"bbox\": [245, 90, 294, 100]}, {\"cell\": \"0.465 ± 0.044\", \"bbox\": [312, 90, 360, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 100, 114, 110]}, {\"cell\": \"0.752 ± 0.011\", \"bbox\": [128, 100, 177, 110]}, {\"cell\": \"0.821 ± 0.012\", \"bbox\": [187, 100, 235, 110]}, {\"cell\": \"0.524 ± 0.024\", \"bbox\": [245, 100, 294, 110]}, {\"cell\": \"<underline>0.659</underline> ± 0.039\", \"bbox\": [312, 100, 360, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 109, 116, 119]}, {\"cell\": \"0.706 ± 0.017\", \"bbox\": [128, 109, 177, 119]}, {\"cell\": \"0.717 ± 0.020\", \"bbox\": [187, 109, 235, 119]}, {\"cell\": \"0.520 ± 0.021\", \"bbox\": [245, 109, 294, 119]}, {\"cell\": \"0.589 ± 0.034\", \"bbox\": [312, 109, 360, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 119, 114, 129]}, {\"cell\": \"0.654 ± 0.008\", \"bbox\": [128, 119, 177, 129]}, {\"cell\": \"0.771 ± 0.009\", \"bbox\": [187, 119, 235, 129]}, {\"cell\": \"0.578 ± 0.018\", \"bbox\": [245, 119, 294, 129]}, {\"cell\": \"0.534 ± 0.050\", \"bbox\": [312, 119, 360, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 128, 106, 138]}, {\"cell\": \"0.877 ± 0.005\", \"bbox\": [128, 128, 177, 138]}, {\"cell\": \"<b>0.923</b>± 0.006\", \"bbox\": [187, 128, 235, 138]}, {\"cell\": \"0.745 ± 0.013\", \"bbox\": [245, 128, 294, 138]}, {\"cell\": \"0.584 ± 0.042\", \"bbox\": [312, 128, 360, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 138, 112, 148]}, {\"cell\": \"<underline>0.892</underline> ± 0.006\", \"bbox\": [128, 138, 177, 148]}, {\"cell\": \"0.906 ± 0.008\", \"bbox\": [187, 138, 235, 148]}, {\"cell\": \"<underline>0.749</underline> ± 0.015\", \"bbox\": [245, 138, 294, 148]}, {\"cell\": \"<b>0.728</b>± 0.041\", \"bbox\": [312, 138, 360, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 147, 111, 157]}, {\"cell\": \"<b>0.895</b>± 0.011\", \"bbox\": [128, 147, 177, 157]}, {\"cell\": \"<underline>0.921</underline> ± 0.036\", \"bbox\": [187, 147, 235, 157]}, {\"cell\": \"<b>0.786</b>± 0.023\", \"bbox\": [245, 147, 294, 157]}, {\"cell\": \"0.603 ± 0.087\", \"bbox\": [312, 147, 360, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5578170_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}155{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic/variables</b></td><td><b>Total (<i>N</i>=196)</b></td><td><b>Intervention group (<i>n</i>=103)</b></td><td><b>Control group (<i>n</i>=93)</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.284</td></tr><tr><td>[EMPTY_CELL]</td><td>57 (29)</td><td>36 (35)</td><td>21 (23)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>48 (25)</td><td>24 (23)</td><td>24 (26)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>71 (36)</td><td>33 (32)</td><td>38 (41)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20 (10)</td><td>10 (10)</td><td>10 (11)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.083</td></tr><tr><td>[EMPTY_CELL]</td><td>72 (37)</td><td>32 (31)</td><td>40 (43)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>124 (63)</td><td>71 (69)</td><td>53 (57)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.275</td></tr><tr><td>[EMPTY_CELL]</td><td>64 (33)</td><td>31 (30)</td><td>33 (36)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>79 (40)</td><td>46 (45)</td><td>33 (36)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>33 (17)</td><td>19 (18)</td><td>14 (15)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5 (3)</td><td>3 (3)</td><td>2 (2)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>14 (7)</td><td>4 (4)</td><td>10 (11)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>74.8 ± 7.7</td><td>74.2 ± 7.7</td><td>75.3 ± 7.7</td><td>0.304</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.564</td></tr><tr><td>[EMPTY_CELL]</td><td>104 (54)</td><td>56 (54)</td><td>48 (53)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>44 (23)</td><td>20 (19)</td><td>24 (27)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>24 (12)</td><td>15 (15)</td><td>9 (10)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>21 (11)</td><td>12 (12)</td><td>9 (10)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>62 (32)</td><td>33 (32)</td><td>29 (31)</td><td>0.898</td></tr><tr><td>[EMPTY_CELL]</td><td>21 (11)</td><td>14 (14)</td><td>7 (8)</td><td>0.170</td></tr><tr><td>[EMPTY_CELL]</td><td>39 (20)</td><td>22 (21)</td><td>17 (18)</td><td>0.590</td></tr><tr><td>[EMPTY_CELL]</td><td>95 (49)</td><td>49 (48)</td><td>46 (50)</td><td>0.792</td></tr><tr><td>[EMPTY_CELL]</td><td>43.7 ± 10.7</td><td>43.8 ± 11.0</td><td>43.6 ± 10.5</td><td>0.885</td></tr><tr><td>[EMPTY_CELL]</td><td>27.2 ± 9.1</td><td>27.1 ± 8.5</td><td>27.3 ± 9.7</td><td>0.907</td></tr><tr><td>[EMPTY_CELL]</td><td>46.7 ± 11.4</td><td>46.1 ± 12.3</td><td>47.5 ± 10.4</td><td>0.405</td></tr><tr><td>[EMPTY_CELL]</td><td>39.6 ± 10.1</td><td>39.1 ± 10.1</td><td>40.2 ± 10.0</td><td>0.459</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic/variables</b>\", \"bbox\": [3, 4, 89, 15]}, {\"cell\": \"<b>Total (<i>N</i>=196)</b>\", \"bbox\": [156, 4, 216, 15]}, {\"cell\": \"<b>Intervention group (<i>n</i>=103)</b>\", \"bbox\": [238, 4, 346, 15]}, {\"cell\": \"<b>Control group (<i>n</i>=93)</b>\", \"bbox\": [368, 4, 456, 15]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [484, 4, 492, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 17, 67, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.284\", \"bbox\": [477, 17, 499, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 27, 128, 38]}, {\"cell\": \"57 (29)\", \"bbox\": [171, 27, 200, 38]}, {\"cell\": \"36 (35)\", \"bbox\": [278, 27, 306, 38]}, {\"cell\": \"21 (23)\", \"bbox\": [398, 27, 426, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 38, 92, 48]}, {\"cell\": \"48 (25)\", \"bbox\": [171, 38, 200, 48]}, {\"cell\": \"24 (23)\", \"bbox\": [278, 38, 306, 48]}, {\"cell\": \"24 (26)\", \"bbox\": [398, 38, 426, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 48, 134, 59]}, {\"cell\": \"71 (36)\", \"bbox\": [172, 48, 200, 59]}, {\"cell\": \"33 (32)\", \"bbox\": [278, 48, 306, 59]}, {\"cell\": \"38 (41)\", \"bbox\": [398, 48, 426, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 58, 123, 69]}, {\"cell\": \"20 (10)\", \"bbox\": [172, 58, 200, 69]}, {\"cell\": \"10 (10)\", \"bbox\": [278, 58, 306, 69]}, {\"cell\": \"10 (11)\", \"bbox\": [398, 58, 426, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 69, 57, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.083\", \"bbox\": [477, 69, 499, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 79, 31, 90]}, {\"cell\": \"72 (37)\", \"bbox\": [171, 79, 200, 90]}, {\"cell\": \"32 (31)\", \"bbox\": [278, 79, 306, 90]}, {\"cell\": \"40 (43)\", \"bbox\": [398, 79, 426, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 90, 39, 101]}, {\"cell\": \"124 (63)\", \"bbox\": [169, 90, 202, 101]}, {\"cell\": \"71 (69)\", \"bbox\": [278, 90, 306, 101]}, {\"cell\": \"53 (57)\", \"bbox\": [398, 90, 426, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 100, 47, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.275\", \"bbox\": [477, 100, 499, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 111, 36, 121]}, {\"cell\": \"64 (33)\", \"bbox\": [171, 111, 200, 121]}, {\"cell\": \"31 (30)\", \"bbox\": [278, 111, 306, 121]}, {\"cell\": \"33 (36)\", \"bbox\": [398, 111, 426, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 121, 79, 132]}, {\"cell\": \"79 (40)\", \"bbox\": [171, 121, 200, 132]}, {\"cell\": \"46 (45)\", \"bbox\": [278, 121, 306, 132]}, {\"cell\": \"33 (36)\", \"bbox\": [398, 121, 426, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 132, 72, 142]}, {\"cell\": \"33 (17)\", \"bbox\": [172, 132, 200, 142]}, {\"cell\": \"19 (18)\", \"bbox\": [278, 132, 306, 142]}, {\"cell\": \"14 (15)\", \"bbox\": [398, 132, 426, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 142, 34, 153]}, {\"cell\": \"5 (3)\", \"bbox\": [176, 142, 196, 153]}, {\"cell\": \"3 (3)\", \"bbox\": [282, 142, 302, 153]}, {\"cell\": \"2 (2)\", \"bbox\": [402, 142, 422, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 153, 38, 163]}, {\"cell\": \"14 (7)\", \"bbox\": [174, 153, 198, 163]}, {\"cell\": \"4 (4)\", \"bbox\": [282, 153, 302, 163]}, {\"cell\": \"10 (11)\", \"bbox\": [398, 153, 426, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 160, 90, 175]}, {\"cell\": \"74.8 ± 7.7\", \"bbox\": [168, 160, 204, 175]}, {\"cell\": \"74.2 ± 7.7\", \"bbox\": [274, 160, 310, 175]}, {\"cell\": \"75.3 ± 7.7\", \"bbox\": [394, 160, 430, 175]}, {\"cell\": \"0.304\", \"bbox\": [477, 163, 499, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 174, 91, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.564\", \"bbox\": [477, 174, 499, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 184, 44, 195]}, {\"cell\": \"104 (54)\", \"bbox\": [169, 184, 202, 195]}, {\"cell\": \"56 (54)\", \"bbox\": [278, 184, 306, 195]}, {\"cell\": \"48 (53)\", \"bbox\": [398, 184, 426, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 194, 65, 205]}, {\"cell\": \"44 (23)\", \"bbox\": [171, 194, 200, 205]}, {\"cell\": \"20 (19)\", \"bbox\": [278, 194, 306, 205]}, {\"cell\": \"24 (27)\", \"bbox\": [398, 194, 426, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 205, 65, 216]}, {\"cell\": \"24 (12)\", \"bbox\": [172, 205, 200, 216]}, {\"cell\": \"15 (15)\", \"bbox\": [278, 205, 306, 216]}, {\"cell\": \"9 (10)\", \"bbox\": [400, 205, 424, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 215, 70, 226]}, {\"cell\": \"21 (11)\", \"bbox\": [172, 215, 199, 226]}, {\"cell\": \"12 (12)\", \"bbox\": [278, 215, 306, 226]}, {\"cell\": \"9 (10)\", \"bbox\": [400, 215, 424, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 226, 118, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 236, 88, 247]}, {\"cell\": \"62 (32)\", \"bbox\": [171, 236, 200, 247]}, {\"cell\": \"33 (32)\", \"bbox\": [278, 236, 306, 247]}, {\"cell\": \"29 (31)\", \"bbox\": [398, 236, 426, 247]}, {\"cell\": \"0.898\", \"bbox\": [477, 236, 499, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 247, 112, 257]}, {\"cell\": \"21 (11)\", \"bbox\": [172, 247, 199, 257]}, {\"cell\": \"14 (14)\", \"bbox\": [278, 247, 306, 257]}, {\"cell\": \"7 (8)\", \"bbox\": [402, 247, 422, 257]}, {\"cell\": \"0.170\", \"bbox\": [478, 247, 498, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 257, 107, 268]}, {\"cell\": \"39 (20)\", \"bbox\": [171, 257, 200, 268]}, {\"cell\": \"22 (21)\", \"bbox\": [278, 257, 306, 268]}, {\"cell\": \"17 (18)\", \"bbox\": [398, 257, 426, 268]}, {\"cell\": \"0.590\", \"bbox\": [477, 257, 499, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 268, 129, 278]}, {\"cell\": \"95 (49)\", \"bbox\": [171, 268, 200, 278]}, {\"cell\": \"49 (48)\", \"bbox\": [278, 268, 306, 278]}, {\"cell\": \"46 (50)\", \"bbox\": [398, 268, 426, 278]}, {\"cell\": \"0.792\", \"bbox\": [477, 268, 499, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 278, 48, 289]}, {\"cell\": \"43.7 ± 10.7\", \"bbox\": [166, 275, 206, 290]}, {\"cell\": \"43.8 ± 11.0\", \"bbox\": [272, 275, 312, 290]}, {\"cell\": \"43.6 ± 10.5\", \"bbox\": [392, 275, 432, 290]}, {\"cell\": \"0.885\", \"bbox\": [477, 278, 499, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 289, 86, 299]}, {\"cell\": \"27.2 ± 9.1\", \"bbox\": [168, 285, 203, 301]}, {\"cell\": \"27.1 ± 8.5\", \"bbox\": [274, 285, 310, 301]}, {\"cell\": \"27.3 ± 9.7\", \"bbox\": [394, 285, 430, 301]}, {\"cell\": \"0.907\", \"bbox\": [477, 289, 499, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 299, 58, 310]}, {\"cell\": \"46.7 ± 11.4\", \"bbox\": [165, 296, 206, 311]}, {\"cell\": \"46.1 ± 12.3\", \"bbox\": [272, 296, 312, 311]}, {\"cell\": \"47.5 ± 10.4\", \"bbox\": [392, 296, 432, 311]}, {\"cell\": \"0.405\", \"bbox\": [477, 299, 499, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 310, 55, 320]}, {\"cell\": \"39.6 ± 10.1\", \"bbox\": [166, 306, 205, 322]}, {\"cell\": \"39.1 ± 10.1\", \"bbox\": [272, 306, 311, 322]}, {\"cell\": \"40.2 ± 10.0\", \"bbox\": [392, 306, 432, 322]}, {\"cell\": \"0.459\", \"bbox\": [477, 310, 499, 320]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5964590_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}156{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>2002 (A)N=309</b></td><td><b>2005 (A)N=994</b></td><td><b>2008 (A)N=642</b></td><td><b>2012 (A)N=1039</b></td><td><b>2012 (B)N=939</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>aOR (95% CI)</b></td><td><b>aOR (95% CI)</b></td><td><b>aOR (95% CI)</b></td><td><b>aOR (95% CI)</b></td><td><b>aOR (95% CI)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1.21*** (1.07–1.37)</td><td>1.09*** (1.03–1.16)</td><td>1.08** (1.01–1.16)</td><td>1.08** (1.01–1.16)</td><td>1.08** (1.01–1.15)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.14 (0.92–1.40)</td><td>1.22*** (1.08–1.38)</td><td>1.21*** (1.05–1.38)</td><td>1.12** (1.00–1.25)</td><td>1.09 (0.96–1.23)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.55 (0.14–2.13)</td><td>0.33** (0.13–0.81)</td><td>0.32** (0.12–0.89)</td><td>0.42 (0.13–1.39)</td><td>0.70 (0.20–2.37)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.94 (0.33–2.73)</td><td>1.65 (0.90–3.03)</td><td>1.45 (0.77–2.73)</td><td>1.23 (0.64–2.34)</td><td>1.26 (0.62–2.57)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.35** (0.13–0.95)</td><td>0.79 (0.45–1.40)</td><td>0.97 (0.53–1.78)</td><td>1.23 (0.74–2.04)</td><td>1.48 (0.88–2.50)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.70 (0.20–2.52)</td><td>0.95 (0.42–2.14)</td><td>1.60 (0.76–3.38)</td><td>1.46 (0.72–2.95)</td><td>1.55 (0.76–3.16)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.45 (0.14–1.42)</td><td>1.46 (0.73–2.89)</td><td>0.58 (0.28–1.21)</td><td>0.48** (0.23–0.99)</td><td>0.40*** (0.21–0.78)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.38* (0.13–1.10)</td><td>0.92 (0.37–2.26)</td><td>0.93 (0.40–2.18)</td><td>0.82 (0.42–1.61)</td><td>1.18 (0.53–2.60)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.01** (0.41–2.48)</td><td>0.98 (0.57–1.69)</td><td>1.20 (0.67–2.14)</td><td>2.13*** (1.38–3.29)</td><td>2.58*** (1.63–4.07)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.65 (0.21–2.02)</td><td>1.17 (0.67–2.06)</td><td>1.45 (0.79–2.64)</td><td>1.43 (0.78–2.60)</td><td>1.49 (0.75–2.98)</td></tr><tr><td>[EMPTY_CELL]</td><td>2.71* (0.90–8.17)</td><td>2.91*** (1.33–6.37)</td><td>1.50 (0.60–3.73)</td><td>1.52 (0.77–3.00)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>–</td><td>–</td><td>0.80 (0.42–1.54)</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>–</td><td>–</td><td>1.55 (0.82–2.96)</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>–</td><td>–</td><td>1.08 (0.41–2.86)</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>–</td><td>–</td><td>1.93** (1.15–3.24)</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>–</td><td>–</td><td>0.07*** (0.01–0.48)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>2002 (A)N=309</b>\", \"bbox\": [127, 8, 158, 29]}, {\"cell\": \"<b>2005 (A)N=994</b>\", \"bbox\": [199, 8, 230, 29]}, {\"cell\": \"<b>2008 (A)N=642</b>\", \"bbox\": [271, 8, 302, 29]}, {\"cell\": \"<b>2012 (A)N=1039</b>\", \"bbox\": [343, 8, 374, 29]}, {\"cell\": \"<b>2012 (B)N=939</b>\", \"bbox\": [415, 8, 446, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>aOR (95% CI)</b>\", \"bbox\": [119, 41, 166, 50]}, {\"cell\": \"<b>aOR (95% CI)</b>\", \"bbox\": [191, 41, 238, 50]}, {\"cell\": \"<b>aOR (95% CI)</b>\", \"bbox\": [263, 41, 310, 50]}, {\"cell\": \"<b>aOR (95% CI)</b>\", \"bbox\": [335, 41, 382, 50]}, {\"cell\": \"<b>aOR (95% CI)</b>\", \"bbox\": [407, 41, 454, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 60, 70, 81]}, {\"cell\": \"1.21*** (1.07–1.37)\", \"bbox\": [109, 60, 177, 69]}, {\"cell\": \"1.09*** (1.03–1.16)\", \"bbox\": [181, 60, 249, 69]}, {\"cell\": \"1.08** (1.01–1.16)\", \"bbox\": [257, 60, 321, 69]}, {\"cell\": \"1.08** (1.01–1.16)\", \"bbox\": [329, 60, 393, 69]}, {\"cell\": \"1.08** (1.01–1.15)\", \"bbox\": [401, 60, 465, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 84, 15, 93]}, {\"cell\": \"1.14 (0.92–1.40)\", \"bbox\": [121, 84, 177, 93]}, {\"cell\": \"1.22*** (1.08–1.38)\", \"bbox\": [181, 84, 249, 93]}, {\"cell\": \"1.21*** (1.05–1.38)\", \"bbox\": [253, 84, 321, 93]}, {\"cell\": \"1.12** (1.00–1.25)\", \"bbox\": [329, 84, 393, 93]}, {\"cell\": \"1.09 (0.96–1.23)\", \"bbox\": [409, 84, 465, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 80, 105]}, {\"cell\": \"0.55 (0.14–2.13)\", \"bbox\": [121, 96, 177, 105]}, {\"cell\": \"0.33** (0.13–0.81)\", \"bbox\": [185, 96, 249, 105]}, {\"cell\": \"0.32** (0.12–0.89)\", \"bbox\": [257, 96, 321, 105]}, {\"cell\": \"0.42 (0.13–1.39)\", \"bbox\": [337, 96, 393, 105]}, {\"cell\": \"0.70 (0.20–2.37)\", \"bbox\": [409, 96, 465, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 108, 93, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 120, 29, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 132, 44, 141]}, {\"cell\": \"–\", \"bbox\": [131, 135, 137, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 144, 97, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 53, 165]}, {\"cell\": \"0.94 (0.33–2.73)\", \"bbox\": [121, 156, 177, 165]}, {\"cell\": \"1.65 (0.90–3.03)\", \"bbox\": [193, 156, 249, 165]}, {\"cell\": \"1.45 (0.77–2.73)\", \"bbox\": [265, 156, 321, 165]}, {\"cell\": \"1.23 (0.64–2.34)\", \"bbox\": [337, 156, 393, 165]}, {\"cell\": \"1.26 (0.62–2.57)\", \"bbox\": [409, 156, 465, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 168, 50, 177]}, {\"cell\": \"0.35** (0.13–0.95)\", \"bbox\": [113, 168, 177, 177]}, {\"cell\": \"0.79 (0.45–1.40)\", \"bbox\": [193, 168, 249, 177]}, {\"cell\": \"0.97 (0.53–1.78)\", \"bbox\": [265, 168, 321, 177]}, {\"cell\": \"1.23 (0.74–2.04)\", \"bbox\": [337, 168, 393, 177]}, {\"cell\": \"1.48 (0.88–2.50)\", \"bbox\": [409, 168, 465, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 180, 44, 189]}, {\"cell\": \"0.70 (0.20–2.52)\", \"bbox\": [121, 180, 177, 189]}, {\"cell\": \"0.95 (0.42–2.14)\", \"bbox\": [193, 180, 249, 189]}, {\"cell\": \"1.60 (0.76–3.38)\", \"bbox\": [265, 180, 321, 189]}, {\"cell\": \"1.46 (0.72–2.95)\", \"bbox\": [337, 180, 393, 189]}, {\"cell\": \"1.55 (0.76–3.16)\", \"bbox\": [409, 180, 465, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 192, 133, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 204, 28, 213]}, {\"cell\": \"0.45 (0.14–1.42)\", \"bbox\": [121, 204, 177, 213]}, {\"cell\": \"1.46 (0.73–2.89)\", \"bbox\": [193, 204, 249, 213]}, {\"cell\": \"0.58 (0.28–1.21)\", \"bbox\": [265, 204, 321, 213]}, {\"cell\": \"0.48** (0.23–0.99)\", \"bbox\": [329, 204, 393, 213]}, {\"cell\": \"0.40*** (0.21–0.78)\", \"bbox\": [397, 204, 465, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 216, 35, 225]}, {\"cell\": \"0.38* (0.13–1.10)\", \"bbox\": [117, 216, 177, 225]}, {\"cell\": \"0.92 (0.37–2.26)\", \"bbox\": [193, 216, 249, 225]}, {\"cell\": \"0.93 (0.40–2.18)\", \"bbox\": [265, 216, 321, 225]}, {\"cell\": \"0.82 (0.42–1.61)\", \"bbox\": [337, 216, 393, 225]}, {\"cell\": \"1.18 (0.53–2.60)\", \"bbox\": [409, 216, 465, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 228, 96, 249]}, {\"cell\": \"1.01** (0.41–2.48)\", \"bbox\": [113, 228, 177, 237]}, {\"cell\": \"0.98 (0.57–1.69)\", \"bbox\": [193, 228, 249, 237]}, {\"cell\": \"1.20 (0.67–2.14)\", \"bbox\": [265, 228, 321, 237]}, {\"cell\": \"2.13*** (1.38–3.29)\", \"bbox\": [325, 228, 393, 237]}, {\"cell\": \"2.58*** (1.63–4.07)\", \"bbox\": [397, 228, 465, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 252, 96, 261]}, {\"cell\": \"0.65 (0.21–2.02)\", \"bbox\": [121, 252, 177, 261]}, {\"cell\": \"1.17 (0.67–2.06)\", \"bbox\": [193, 252, 249, 261]}, {\"cell\": \"1.45 (0.79–2.64)\", \"bbox\": [265, 252, 321, 261]}, {\"cell\": \"1.43 (0.78–2.60)\", \"bbox\": [337, 252, 393, 261]}, {\"cell\": \"1.49 (0.75–2.98)\", \"bbox\": [409, 252, 465, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 264, 92, 285]}, {\"cell\": \"2.71* (0.90–8.17)\", \"bbox\": [117, 264, 177, 273]}, {\"cell\": \"2.91*** (1.33–6.37)\", \"bbox\": [181, 264, 249, 273]}, {\"cell\": \"1.50 (0.60–3.73)\", \"bbox\": [265, 264, 321, 273]}, {\"cell\": \"1.52 (0.77–3.00)\", \"bbox\": [337, 264, 393, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 288, 126, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 300, 64, 309]}, {\"cell\": \"–\", \"bbox\": [131, 303, 137, 308]}, {\"cell\": \"–\", \"bbox\": [203, 303, 209, 308]}, {\"cell\": \"–\", \"bbox\": [275, 303, 281, 308]}, {\"cell\": \"–\", \"bbox\": [347, 303, 353, 308]}, {\"cell\": \"0.80 (0.42–1.54)\", \"bbox\": [409, 300, 465, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 312, 72, 321]}, {\"cell\": \"–\", \"bbox\": [131, 315, 137, 320]}, {\"cell\": \"–\", \"bbox\": [203, 315, 209, 320]}, {\"cell\": \"–\", \"bbox\": [275, 315, 281, 320]}, {\"cell\": \"–\", \"bbox\": [347, 315, 353, 320]}, {\"cell\": \"1.55 (0.82–2.96)\", \"bbox\": [409, 312, 465, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 324, 68, 333]}, {\"cell\": \"–\", \"bbox\": [131, 327, 137, 332]}, {\"cell\": \"–\", \"bbox\": [203, 327, 209, 332]}, {\"cell\": \"–\", \"bbox\": [275, 327, 281, 332]}, {\"cell\": \"–\", \"bbox\": [347, 327, 353, 332]}, {\"cell\": \"1.08 (0.41–2.86)\", \"bbox\": [409, 324, 465, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 336, 105, 357]}, {\"cell\": \"–\", \"bbox\": [131, 339, 137, 344]}, {\"cell\": \"–\", \"bbox\": [203, 339, 209, 344]}, {\"cell\": \"–\", \"bbox\": [275, 339, 281, 344]}, {\"cell\": \"–\", \"bbox\": [347, 339, 353, 344]}, {\"cell\": \"1.93** (1.15–3.24)\", \"bbox\": [401, 336, 465, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 360, 104, 381]}, {\"cell\": \"–\", \"bbox\": [131, 363, 137, 368]}, {\"cell\": \"–\", \"bbox\": [203, 363, 209, 368]}, {\"cell\": \"–\", \"bbox\": [275, 363, 281, 368]}, {\"cell\": \"–\", \"bbox\": [347, 363, 353, 368]}, {\"cell\": \"0.07*** (0.01–0.48)\", \"bbox\": [397, 360, 465, 369]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5384594_015_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}157{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Definition</b></td><td><b>Symbol</b></td><td><b>Value</b></td><td><b>References</b></td></tr></thead><tbody><tr><td>Total number of cattle</td><td><i>N<sub>c</sub></i></td><td>[EMPTY_CELL]</td><td>[15]</td></tr><tr><td>Total number of humans</td><td><i>N<sub>h</sub></i></td><td>[EMPTY_CELL]</td><td>[92]</td></tr><tr><td>Diversion probability from an unprotected vertebrate host (cattle or human)</td><td><i>Δ<sub>h,u</sub></i></td><td>[EMPTY_CELL]</td><td>[93]</td></tr><tr><td>Mortality probability upon attacking an unprotected host</td><td><i>μ<sub>h,u</sub></i></td><td>[EMPTY_CELL]</td><td>[93]</td></tr><tr><td>Mean availability of individual unprotected humans<sup>a</sup></td><td><i>a<sub>h,u</sub></i></td><td>[EMPTY_CELL]</td><td>[28,40]</td></tr><tr><td>Mean availability of individual cattle<sup>b</sup></td><td><i>a<sub>c</sub></i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <i>An. arabiensis</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[28]</td></tr><tr><td> <i>An. gambiae s.s</i>.</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[28,42]</td></tr><tr><td>Total availability of aquatic habitats</td><td><i>Z<sub>a</sub></i></td><td>[EMPTY_CELL]</td><td>[28]</td></tr><tr><td>Duration of gestation</td><td><i>g</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Proportion of mosquitoes surviving per day while feeding while resting</td><td><i>P</i></td><td>[EMPTY_CELL]</td><td>[91]</td></tr><tr><td>Proportion of mosquitoes surviving per day while foraging for hosts or oviposition sites</td><td><i>P<sub>ov</sub></i></td><td>[EMPTY_CELL]</td><td>Figure 2 and associated text</td></tr><tr><td>Duration of the parasite sporogonic development period</td><td><i>n</i></td><td>[EMPTY_CELL]</td><td>[30]</td></tr><tr><td>Human infectiousness to mosquitoes</td><td><i>k</i></td><td>[EMPTY_CELL]</td><td>[29]</td></tr><tr><td>Total number of adult mosquitoes emerging per year</td><td><i>E</i></td><td>[EMPTY_CELL]</td><td>[24]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Definition</b>\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"<b>Symbol</b>\", \"bbox\": [298, 4, 326, 13]}, {\"cell\": \"<b>Value</b>\", \"bbox\": [338, 4, 359, 13]}, {\"cell\": \"<b>References</b>\", \"bbox\": [383, 4, 422, 13]}, {\"cell\": \"Total number of cattle\", \"bbox\": [1, 17, 75, 27]}, {\"cell\": \"<i>N<sub>c</sub></i>\", \"bbox\": [311, 17, 320, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 17, 355, 27]}, {\"cell\": \"[15]\", \"bbox\": [383, 17, 397, 27]}, {\"cell\": \"Total number of humans\", \"bbox\": [1, 29, 83, 39]}, {\"cell\": \"<i>N<sub>h</sub></i>\", \"bbox\": [311, 29, 321, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 29, 355, 39]}, {\"cell\": \"[92]\", \"bbox\": [383, 29, 397, 39]}, {\"cell\": \"Diversion probability from an unprotected vertebrate host (cattle or human)\", \"bbox\": [1, 41, 249, 51]}, {\"cell\": \"<i>Δ<sub>h,u</sub></i>\", \"bbox\": [309, 42, 322, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 41, 349, 51]}, {\"cell\": \"[93]\", \"bbox\": [383, 41, 397, 51]}, {\"cell\": \"Mortality probability upon attacking an unprotected host\", \"bbox\": [1, 53, 187, 63]}, {\"cell\": \"<i>μ<sub>h,u</sub></i>\", \"bbox\": [309, 55, 322, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 53, 349, 63]}, {\"cell\": \"[93]\", \"bbox\": [383, 53, 397, 63]}, {\"cell\": \"Mean availability of individual unprotected humans<sup>a</sup>\", \"bbox\": [1, 63, 171, 75]}, {\"cell\": \"<i>a<sub>h,u</sub></i>\", \"bbox\": [309, 65, 322, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 63, 371, 75]}, {\"cell\": \"[28,40]\", \"bbox\": [383, 65, 406, 75]}, {\"cell\": \"Mean availability of individual cattle<sup>b</sup>\", \"bbox\": [1, 75, 121, 86]}, {\"cell\": \"<i>a<sub>c</sub></i>\", \"bbox\": [312, 77, 320, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <i>An. arabiensis</i>\", \"bbox\": [15, 89, 60, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 87, 371, 98]}, {\"cell\": \"[28]\", \"bbox\": [383, 89, 397, 98]}, {\"cell\": \" <i>An. gambiae s.s</i>.\", \"bbox\": [15, 101, 68, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 99, 371, 110]}, {\"cell\": \"[28,42]\", \"bbox\": [383, 101, 406, 110]}, {\"cell\": \"Total availability of aquatic habitats\", \"bbox\": [1, 113, 116, 122]}, {\"cell\": \"<i>Z<sub>a</sub></i>\", \"bbox\": [311, 113, 320, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 113, 344, 122]}, {\"cell\": \"[28]\", \"bbox\": [383, 113, 397, 122]}, {\"cell\": \"Duration of gestation\", \"bbox\": [1, 125, 71, 134]}, {\"cell\": \"<i>g</i>\", \"bbox\": [313, 125, 319, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 125, 344, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Proportion of mosquitoes surviving per day while feeding while resting\", \"bbox\": [1, 137, 234, 146]}, {\"cell\": \"<i>P</i>\", \"bbox\": [313, 137, 319, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 137, 349, 146]}, {\"cell\": \"[91]\", \"bbox\": [383, 137, 397, 146]}, {\"cell\": \"Proportion of mosquitoes surviving per day while foraging for hosts or oviposition sites\", \"bbox\": [1, 149, 286, 158]}, {\"cell\": \"<i>P<sub>ov</sub></i>\", \"bbox\": [310, 149, 321, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 149, 353, 158]}, {\"cell\": \"Figure 2 and associated text\", \"bbox\": [383, 149, 476, 158]}, {\"cell\": \"Duration of the parasite sporogonic development period\", \"bbox\": [1, 161, 186, 170]}, {\"cell\": \"<i>n</i>\", \"bbox\": [313, 161, 319, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 161, 347, 170]}, {\"cell\": \"[30]\", \"bbox\": [383, 161, 397, 170]}, {\"cell\": \"Human infectiousness to mosquitoes\", \"bbox\": [1, 173, 122, 182]}, {\"cell\": \"<i>k</i>\", \"bbox\": [313, 173, 318, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 173, 353, 182]}, {\"cell\": \"[29]\", \"bbox\": [383, 173, 397, 182]}, {\"cell\": \"Total number of adult mosquitoes emerging per year\", \"bbox\": [1, 185, 176, 194]}, {\"cell\": \"<i>E</i>\", \"bbox\": [313, 185, 319, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 185, 370, 194]}, {\"cell\": \"[24]\", \"bbox\": [383, 185, 397, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3199905_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}158{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Demographics</b></td><td>[EMPTY_CELL]</td><td><b><i>N</i></b></td><td><b>%</b></td></tr></thead><tbody><tr><td>Gender</td><td>Female</td><td>[EMPTY_CELL]</td><td>44.0</td></tr><tr><td>[EMPTY_CELL]</td><td>Male</td><td>[EMPTY_CELL]</td><td>56.0</td></tr><tr><td>Marital status</td><td>Never married</td><td>[EMPTY_CELL]</td><td>37.4</td></tr><tr><td>[EMPTY_CELL]</td><td>Currently married</td><td>[EMPTY_CELL]</td><td>60.4</td></tr><tr><td>[EMPTY_CELL]</td><td>Divorced</td><td>[EMPTY_CELL]</td><td>1.1</td></tr><tr><td>[EMPTY_CELL]</td><td>Separated</td><td>[EMPTY_CELL]</td><td>1.1</td></tr><tr><td>Employment status</td><td>Employed</td><td>[EMPTY_CELL]</td><td>36.3</td></tr><tr><td>[EMPTY_CELL]</td><td>Unemployed</td><td>[EMPTY_CELL]</td><td>63.7</td></tr><tr><td>Financial help</td><td>Received</td><td>[EMPTY_CELL]</td><td>80.2</td></tr><tr><td>[EMPTY_CELL]</td><td>Not received</td><td>[EMPTY_CELL]</td><td>19.8</td></tr><tr><td>Mental health services</td><td>Received</td><td>[EMPTY_CELL]</td><td>14.3</td></tr><tr><td>[EMPTY_CELL]</td><td>Not received</td><td>[EMPTY_CELL]</td><td>85.7</td></tr><tr><td>Missing family member or relatives</td><td>Yes</td><td>[EMPTY_CELL]</td><td>78.0</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>[EMPTY_CELL]</td><td>22.0</td></tr><tr><td>Number of family members or relatives missing</td><td colspan=\\\"2\\\">Range: 0–25 people. <i>M</i> = 5.86, <i>SD</i> = 6.14</td><td>[EMPTY_CELL]</td></tr><tr><td>Age</td><td colspan=\\\"2\\\">Range: 18–57 years old. <i>M</i> = 29.91, <i>SD</i> = 9.54</td><td>[EMPTY_CELL]</td></tr><tr><td>Years of formal education</td><td colspan=\\\"2\\\">Range: 0<sup>∗</sup>–19 years. <i>M</i> = 8.86, <i>SD</i> = 3.95</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of children</td><td colspan=\\\"2\\\">Range: 0–13. <i>M</i> = 2.35, <i>SD</i> = 2.57</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Demographics</b>\", \"bbox\": [1, 6, 51, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>N</i></b>\", \"bbox\": [352, 6, 359, 13]}, {\"cell\": \"<b>%</b>\", \"bbox\": [439, 6, 448, 15]}, {\"cell\": \"Gender\", \"bbox\": [1, 23, 25, 32]}, {\"cell\": \"Female\", \"bbox\": [220, 23, 244, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 23, 361, 32]}, {\"cell\": \"44.0\", \"bbox\": [439, 23, 454, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [220, 35, 237, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 35, 361, 43]}, {\"cell\": \"56.0\", \"bbox\": [439, 35, 454, 43]}, {\"cell\": \"Marital status\", \"bbox\": [1, 46, 43, 55]}, {\"cell\": \"Never married\", \"bbox\": [220, 46, 265, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 46, 361, 55]}, {\"cell\": \"37.4\", \"bbox\": [439, 46, 454, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Currently married\", \"bbox\": [220, 57, 274, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 57, 361, 66]}, {\"cell\": \"60.4\", \"bbox\": [439, 57, 454, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Divorced\", \"bbox\": [220, 69, 249, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 69, 358, 77]}, {\"cell\": \"1.1\", \"bbox\": [439, 69, 451, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Separated\", \"bbox\": [220, 80, 254, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 80, 358, 89]}, {\"cell\": \"1.1\", \"bbox\": [439, 80, 451, 89]}, {\"cell\": \"Employment status\", \"bbox\": [0, 92, 60, 100]}, {\"cell\": \"Employed\", \"bbox\": [220, 92, 253, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 92, 361, 100]}, {\"cell\": \"36.3\", \"bbox\": [439, 92, 454, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unemployed\", \"bbox\": [220, 103, 261, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 103, 361, 111]}, {\"cell\": \"63.7\", \"bbox\": [439, 103, 454, 111]}, {\"cell\": \"Financial help\", \"bbox\": [0, 114, 43, 123]}, {\"cell\": \"Received\", \"bbox\": [220, 114, 250, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 114, 361, 123]}, {\"cell\": \"80.2\", \"bbox\": [439, 114, 454, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Not received\", \"bbox\": [220, 126, 260, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 126, 361, 134]}, {\"cell\": \"19.8\", \"bbox\": [439, 126, 454, 134]}, {\"cell\": \"Mental health services\", \"bbox\": [0, 137, 69, 146]}, {\"cell\": \"Received\", \"bbox\": [220, 137, 250, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 137, 361, 146]}, {\"cell\": \"14.3\", \"bbox\": [439, 137, 454, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Not received\", \"bbox\": [220, 148, 260, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 148, 361, 157]}, {\"cell\": \"85.7\", \"bbox\": [439, 148, 454, 157]}, {\"cell\": \"Missing family member or relatives\", \"bbox\": [0, 160, 106, 168]}, {\"cell\": \"Yes\", \"bbox\": [220, 160, 233, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 160, 361, 168]}, {\"cell\": \"78.0\", \"bbox\": [439, 160, 454, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [220, 171, 231, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 171, 361, 180]}, {\"cell\": \"22.0\", \"bbox\": [439, 171, 454, 180]}, {\"cell\": \"Number of family members or relatives missing\", \"bbox\": [0, 182, 143, 191]}, {\"cell\": \"Range: 0–25 people. <i>M</i> = 5.86, <i>SD</i> = 6.14\", \"bbox\": [220, 182, 352, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age\", \"bbox\": [0, 194, 14, 202]}, {\"cell\": \"Range: 18–57 years old. <i>M</i> = 29.91, <i>SD</i> = 9.54\", \"bbox\": [220, 194, 367, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Years of formal education\", \"bbox\": [1, 205, 79, 214]}, {\"cell\": \"Range: 0<sup>∗</sup>–19 years. <i>M</i> = 8.86, <i>SD</i> = 3.95\", \"bbox\": [220, 205, 351, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of children\", \"bbox\": [1, 216, 60, 225]}, {\"cell\": \"Range: 0–13. <i>M</i> = 2.35, <i>SD</i> = 2.57\", \"bbox\": [220, 216, 330, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5316552_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}159{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Months</b></td><td><b>Number of episodes of use of SOC</b></td><td><b>Number of episodes of use of SOC per day</b></td><td><b>Transfers from prison to forensic hospital</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">Before the opening of the HSU</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>47</td><td>1.5</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>84</td><td>3.0</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>98</td><td>3.1</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>131</td><td>4.3</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>56</td><td>1.8</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>65</td><td>2.2</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>41</td><td>1.3</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>58</td><td>1.9</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>36</td><td>1.2</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>1.4</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>75</td><td>2.5</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">After opening of the HSU</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>32</td><td>1.0</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>36</td><td>1.2</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>58</td><td>2.1</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>35</td><td>1.1</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>20</td><td>0.7</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>15</td><td>0.5</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>14</td><td>0.5</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>31</td><td>1.0</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>21</td><td>0.7</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>38</td><td>1.3</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>12</td><td>0.4</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>28</td><td>0.9</td><td>0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Months</b>\", \"bbox\": [1, 4, 29, 13]}, {\"cell\": \"<b>Number of episodes of use of SOC</b>\", \"bbox\": [61, 4, 168, 22]}, {\"cell\": \"<b>Number of episodes of use of SOC per day</b>\", \"bbox\": [186, 4, 324, 22]}, {\"cell\": \"<b>Transfers from prison to forensic hospital</b>\", \"bbox\": [340, 4, 457, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before the opening of the HSU\", \"bbox\": [147, 26, 250, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 54, 58]}, {\"cell\": \"-\", \"bbox\": [61, 39, 66, 49]}, {\"cell\": \"-\", \"bbox\": [186, 39, 191, 49]}, {\"cell\": \"0\", \"bbox\": [340, 39, 346, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 44, 71]}, {\"cell\": \"47\", \"bbox\": [61, 62, 71, 71]}, {\"cell\": \"1.5\", \"bbox\": [186, 62, 197, 71]}, {\"cell\": \"0\", \"bbox\": [340, 62, 346, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 75, 48, 84]}, {\"cell\": \"84\", \"bbox\": [61, 75, 71, 84]}, {\"cell\": \"3.0\", \"bbox\": [186, 75, 197, 84]}, {\"cell\": \"0\", \"bbox\": [340, 75, 346, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 88, 40, 97]}, {\"cell\": \"98\", \"bbox\": [61, 88, 71, 97]}, {\"cell\": \"3.1\", \"bbox\": [186, 88, 197, 97]}, {\"cell\": \"0\", \"bbox\": [340, 88, 346, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 35, 111]}, {\"cell\": \"131\", \"bbox\": [61, 101, 75, 111]}, {\"cell\": \"4.3\", \"bbox\": [186, 101, 197, 111]}, {\"cell\": \"2\", \"bbox\": [340, 101, 346, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 34, 124]}, {\"cell\": \"56\", \"bbox\": [61, 114, 71, 124]}, {\"cell\": \"1.8\", \"bbox\": [186, 114, 197, 124]}, {\"cell\": \"1\", \"bbox\": [340, 114, 346, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 35, 137]}, {\"cell\": \"65\", \"bbox\": [61, 128, 71, 137]}, {\"cell\": \"2.2\", \"bbox\": [186, 128, 197, 137]}, {\"cell\": \"1\", \"bbox\": [340, 128, 346, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 32, 150]}, {\"cell\": \"41\", \"bbox\": [61, 141, 71, 150]}, {\"cell\": \"1.3\", \"bbox\": [186, 141, 197, 150]}, {\"cell\": \"1\", \"bbox\": [340, 141, 346, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 154, 43, 163]}, {\"cell\": \"58\", \"bbox\": [61, 154, 71, 163]}, {\"cell\": \"1.9\", \"bbox\": [186, 154, 197, 163]}, {\"cell\": \"0\", \"bbox\": [340, 154, 346, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 167, 55, 177]}, {\"cell\": \"36\", \"bbox\": [61, 167, 71, 177]}, {\"cell\": \"1.2\", \"bbox\": [186, 167, 197, 177]}, {\"cell\": \"1\", \"bbox\": [340, 167, 346, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 180, 46, 190]}, {\"cell\": \"42\", \"bbox\": [61, 180, 71, 190]}, {\"cell\": \"1.4\", \"bbox\": [186, 180, 197, 190]}, {\"cell\": \"1\", \"bbox\": [340, 180, 346, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 193, 54, 203]}, {\"cell\": \"75\", \"bbox\": [61, 193, 71, 203]}, {\"cell\": \"2.5\", \"bbox\": [186, 193, 197, 203]}, {\"cell\": \"1\", \"bbox\": [340, 193, 346, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"After opening of the HSU\", \"bbox\": [156, 207, 241, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 220, 54, 229]}, {\"cell\": \"32\", \"bbox\": [61, 220, 71, 229]}, {\"cell\": \"1.0\", \"bbox\": [186, 220, 197, 229]}, {\"cell\": \"1\", \"bbox\": [340, 220, 346, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 233, 44, 243]}, {\"cell\": \"36\", \"bbox\": [61, 233, 71, 243]}, {\"cell\": \"1.2\", \"bbox\": [186, 233, 197, 243]}, {\"cell\": \"0\", \"bbox\": [340, 233, 346, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 246, 48, 256]}, {\"cell\": \"58\", \"bbox\": [61, 246, 71, 256]}, {\"cell\": \"2.1\", \"bbox\": [186, 246, 197, 256]}, {\"cell\": \"1\", \"bbox\": [340, 246, 346, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 259, 40, 269]}, {\"cell\": \"35\", \"bbox\": [61, 259, 71, 269]}, {\"cell\": \"1.1\", \"bbox\": [186, 259, 197, 269]}, {\"cell\": \"1\", \"bbox\": [340, 259, 346, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 273, 35, 282]}, {\"cell\": \"20\", \"bbox\": [61, 273, 71, 282]}, {\"cell\": \"0.7\", \"bbox\": [186, 273, 197, 282]}, {\"cell\": \"0\", \"bbox\": [340, 273, 346, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 286, 34, 295]}, {\"cell\": \"15\", \"bbox\": [61, 286, 71, 295]}, {\"cell\": \"0.5\", \"bbox\": [186, 286, 197, 295]}, {\"cell\": \"0\", \"bbox\": [340, 286, 346, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 299, 35, 309]}, {\"cell\": \"14\", \"bbox\": [61, 299, 71, 309]}, {\"cell\": \"0.5\", \"bbox\": [186, 299, 197, 309]}, {\"cell\": \"1\", \"bbox\": [340, 299, 346, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 312, 32, 322]}, {\"cell\": \"31\", \"bbox\": [61, 312, 71, 322]}, {\"cell\": \"1.0\", \"bbox\": [186, 312, 197, 322]}, {\"cell\": \"0\", \"bbox\": [340, 312, 346, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 43, 335]}, {\"cell\": \"21\", \"bbox\": [61, 325, 71, 335]}, {\"cell\": \"0.7\", \"bbox\": [186, 325, 197, 335]}, {\"cell\": \"2\", \"bbox\": [340, 325, 346, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 55, 348]}, {\"cell\": \"38\", \"bbox\": [61, 339, 71, 348]}, {\"cell\": \"1.3\", \"bbox\": [186, 339, 197, 348]}, {\"cell\": \"2\", \"bbox\": [340, 339, 346, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 46, 361]}, {\"cell\": \"12\", \"bbox\": [61, 352, 71, 361]}, {\"cell\": \"0.4\", \"bbox\": [186, 352, 197, 361]}, {\"cell\": \"0\", \"bbox\": [340, 352, 346, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 365, 54, 375]}, {\"cell\": \"28\", \"bbox\": [61, 365, 71, 375]}, {\"cell\": \"0.9\", \"bbox\": [186, 365, 197, 375]}, {\"cell\": \"0\", \"bbox\": [340, 365, 346, 375]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3351748_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}160{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Baseline EPIC versus LTPAQ</b></td><td colspan=\\\"3\\\"><b>MET-hours/week</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Correlation (ρ)</b></td><td><b>95% CI</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.26</td><td>0.11, 0.39</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.16</td><td>-0.04, 0.35</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.25</td><td>0.03, 0.44</td><td>*</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.27</td><td>0.07, 0.45</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>0.22</td><td>0.02, 0.41</td><td>*</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.17</td><td>-0.03, 0.36</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.36</td><td>0.16, 0.53</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.17</td><td>-0.01, 0.35</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.21</td><td>-0.03, 0.43</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.21</td><td>0.07, 0.34</td><td>*</td></tr><tr><td>[EMPTY_CELL]</td><td>0.46</td><td>0.34, 0.57</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>0.40</td><td>0.27, 0.52</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>0.26</td><td>0.12, 0.39</td><td>***</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Baseline EPIC versus LTPAQ</b>\", \"bbox\": [4, 4, 103, 14]}, {\"cell\": \"<b>MET-hours/week</b>\", \"bbox\": [346, 4, 405, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Correlation (ρ)</b>\", \"bbox\": [285, 16, 339, 38]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [405, 27, 431, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 112, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 59, 77, 69]}, {\"cell\": \"0.26\", \"bbox\": [304, 59, 320, 69]}, {\"cell\": \"0.11, 0.39\", \"bbox\": [401, 59, 435, 69]}, {\"cell\": \"***\", \"bbox\": [475, 59, 488, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 69, 52, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 80, 89, 89]}, {\"cell\": \"0.16\", \"bbox\": [304, 80, 320, 89]}, {\"cell\": \"-0.04, 0.35\", \"bbox\": [399, 80, 437, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 90, 92, 100]}, {\"cell\": \"0.25\", \"bbox\": [304, 90, 320, 100]}, {\"cell\": \"0.03, 0.44\", \"bbox\": [401, 90, 435, 100]}, {\"cell\": \"*\", \"bbox\": [479, 90, 484, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 100, 83, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 110, 87, 120]}, {\"cell\": \"0.27\", \"bbox\": [304, 110, 320, 120]}, {\"cell\": \"0.07, 0.45\", \"bbox\": [401, 110, 435, 120]}, {\"cell\": \"**\", \"bbox\": [477, 110, 486, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 110, 87, 132]}, {\"cell\": \"0.22\", \"bbox\": [304, 121, 320, 130]}, {\"cell\": \"0.02, 0.41\", \"bbox\": [401, 121, 435, 130]}, {\"cell\": \"*\", \"bbox\": [479, 121, 484, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 131, 39, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 141, 101, 151]}, {\"cell\": \"0.17\", \"bbox\": [304, 141, 320, 151]}, {\"cell\": \"-0.03, 0.36\", \"bbox\": [400, 141, 437, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 140, 101, 163]}, {\"cell\": \"0.36\", \"bbox\": [304, 151, 320, 161]}, {\"cell\": \"0.16, 0.53\", \"bbox\": [401, 151, 435, 161]}, {\"cell\": \"***\", \"bbox\": [475, 151, 488, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 162, 90, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 172, 119, 182]}, {\"cell\": \"0.17\", \"bbox\": [304, 172, 320, 182]}, {\"cell\": \"-0.01, 0.35\", \"bbox\": [399, 172, 437, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 182, 87, 192]}, {\"cell\": \"0.21\", \"bbox\": [304, 182, 320, 192]}, {\"cell\": \"-0.03, 0.43\", \"bbox\": [400, 182, 437, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 74, 202]}, {\"cell\": \"0.21\", \"bbox\": [304, 192, 320, 202]}, {\"cell\": \"0.07, 0.34\", \"bbox\": [401, 192, 435, 202]}, {\"cell\": \"*\", \"bbox\": [479, 192, 484, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 203, 69, 212]}, {\"cell\": \"0.46\", \"bbox\": [304, 203, 320, 212]}, {\"cell\": \"0.34, 0.57\", \"bbox\": [401, 203, 435, 212]}, {\"cell\": \"***\", \"bbox\": [475, 203, 488, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 212, 65, 223]}, {\"cell\": \"0.40\", \"bbox\": [304, 213, 320, 223]}, {\"cell\": \"0.27, 0.52\", \"bbox\": [401, 213, 435, 223]}, {\"cell\": \"***\", \"bbox\": [475, 213, 488, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 223, 87, 233]}, {\"cell\": \"0.26\", \"bbox\": [304, 223, 320, 233]}, {\"cell\": \"0.12, 0.39\", \"bbox\": [401, 223, 435, 233]}, {\"cell\": \"***\", \"bbox\": [475, 223, 488, 233]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2424075_007_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}161{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Pattern recognition receptor ligand(s)</b></td><td><b>Association with rheumatic</b></td></tr><tr><td><b>Receptor</b></td><td><b>Localization</b></td><td><b>PAMPs</b></td><td><b>DAMPs</b></td><td><b>disease</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td rowspan=\\\"4\\\">Cell surface</td><td>Lipoproteins</td><td>Gp96</td><td rowspan=\\\"4\\\">RA [37], OA [50]</td></tr><tr><td>[EMPTY_CELL]</td><td>Hyaluronan</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>HMGB1</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Endosome</td><td>dsRNA</td><td>DNA</td><td>RA [24,30-32], OA [56]</td></tr><tr><td rowspan=\\\"5\\\">[EMPTY_CELL]</td><td rowspan=\\\"5\\\">Cell surface</td><td>LPS</td><td>HSP70</td><td rowspan=\\\"5\\\">RA [20,32,92], OA [42,43,48,50]</td></tr><tr><td>[EMPTY_CELL]</td><td>HMGB1</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>Hyaluronan</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Cell surface</td><td>Flagellin</td><td>[EMPTY_CELL]</td><td>RA [34]</td></tr><tr><td>[EMPTY_CELL]</td><td>Endosome</td><td>ssRNA</td><td>ssRNA</td><td>RA [25-27], SLE [93,94]</td></tr><tr><td>[EMPTY_CELL]</td><td>Endosome</td><td>CpG DNA</td><td>DNA</td><td>OA [57], SLE [95]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Cytoplasm</td><td>Diaminopimelic acid</td><td>[EMPTY_CELL]</td><td>RA [39]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Cytoplasm</td><td rowspan=\\\"2\\\">RNA, DNA, MDP</td><td>ATP</td><td rowspan=\\\"2\\\">Gout [3], RA [40], OA [59,60]</td></tr><tr><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Pattern recognition receptor ligand(s)</b>\", \"bbox\": [160, 4, 293, 13]}, {\"cell\": \"<b>Association with rheumatic</b>\", \"bbox\": [387, 4, 483, 13]}, {\"cell\": \"<b>Receptor</b>\", \"bbox\": [1, 17, 33, 26]}, {\"cell\": \"<b>Localization</b>\", \"bbox\": [75, 17, 118, 26]}, {\"cell\": \"<b>PAMPs</b>\", \"bbox\": [160, 17, 186, 26]}, {\"cell\": \"<b>DAMPs</b>\", \"bbox\": [279, 17, 305, 26]}, {\"cell\": \"<b>disease</b>\", \"bbox\": [387, 17, 414, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 18, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 18, 54]}, {\"cell\": \"Cell surface\", \"bbox\": [75, 44, 113, 54]}, {\"cell\": \"Lipoproteins\", \"bbox\": [160, 44, 202, 54]}, {\"cell\": \"Gp96\", \"bbox\": [279, 44, 297, 54]}, {\"cell\": \"RA [37], OA [50]\", \"bbox\": [387, 44, 440, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 58, 208, 68]}, {\"cell\": \"Hyaluronan\", \"bbox\": [279, 58, 317, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 72, 191, 82]}, {\"cell\": \"HMGB1\", \"bbox\": [279, 72, 304, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 86, 305, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 18, 110]}, {\"cell\": \"Endosome\", \"bbox\": [75, 100, 111, 110]}, {\"cell\": \"dsRNA\", \"bbox\": [160, 100, 183, 110]}, {\"cell\": \"DNA\", \"bbox\": [279, 100, 295, 110]}, {\"cell\": \"RA [24,30-32], OA [56]\", \"bbox\": [387, 100, 458, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 18, 124]}, {\"cell\": \"Cell surface\", \"bbox\": [75, 114, 113, 124]}, {\"cell\": \"LPS\", \"bbox\": [160, 114, 173, 124]}, {\"cell\": \"HSP70\", \"bbox\": [279, 114, 301, 124]}, {\"cell\": \"RA [20,32,92], OA [42,43,48,50]\", \"bbox\": [387, 114, 484, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 128, 237, 138]}, {\"cell\": \"HMGB1\", \"bbox\": [279, 128, 304, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 142, 188, 152]}, {\"cell\": \"Hyaluronan\", \"bbox\": [279, 142, 317, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 156, 317, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 170, 307, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 18, 194]}, {\"cell\": \"Cell surface\", \"bbox\": [75, 184, 113, 194]}, {\"cell\": \"Flagellin\", \"bbox\": [160, 184, 188, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RA [34]\", \"bbox\": [387, 184, 412, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 24, 208]}, {\"cell\": \"Endosome\", \"bbox\": [75, 198, 111, 208]}, {\"cell\": \"ssRNA\", \"bbox\": [160, 198, 182, 208]}, {\"cell\": \"ssRNA\", \"bbox\": [279, 198, 300, 208]}, {\"cell\": \"RA [25-27], SLE [93,94]\", \"bbox\": [387, 198, 459, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 18, 222]}, {\"cell\": \"Endosome\", \"bbox\": [75, 212, 111, 222]}, {\"cell\": \"CpG DNA\", \"bbox\": [160, 212, 193, 222]}, {\"cell\": \"DNA\", \"bbox\": [279, 212, 295, 222]}, {\"cell\": \"OA [57], SLE [95]\", \"bbox\": [387, 212, 442, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 20, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 22, 250]}, {\"cell\": \"Cytoplasm\", \"bbox\": [75, 240, 111, 250]}, {\"cell\": \"Diaminopimelic acid\", \"bbox\": [160, 240, 228, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RA [39]\", \"bbox\": [387, 240, 412, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 23, 264]}, {\"cell\": \"Cytoplasm\", \"bbox\": [75, 254, 111, 264]}, {\"cell\": \"RNA, DNA, MDP\", \"bbox\": [160, 254, 213, 264]}, {\"cell\": \"ATP\", \"bbox\": [279, 254, 293, 264]}, {\"cell\": \"Gout [3], RA [40], OA [59,60]\", \"bbox\": [387, 254, 478, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 268, 345, 278]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4432834_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}162{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Primer name</b></td><td><b>Sequence</b></td><td><b>FIV genomic position *</b></td><td><b>Assay</b></td></tr></thead><tbody><tr><td>feline <sub>GAPDH for</sub></td><td>[EMPTY_CELL]</td><td>NA</td><td>Feline GAPDH QT PCR</td></tr><tr><td>feline <sub>GAPDH rev</sub></td><td>[EMPTY_CELL]</td><td>NA</td><td>Feline GAPDH QT PCR</td></tr><tr><td>18s <sub>rRNA for</sub></td><td>[EMPTY_CELL]</td><td>NA</td><td>Feline 18s rRNA</td></tr><tr><td>18s <sub>rRNA rev</sub></td><td>[EMPTY_CELL]</td><td>NA</td><td>Feline 18s rRNA</td></tr><tr><td>FIV <sub>QT gag for</sub></td><td>[EMPTY_CELL]</td><td>1067</td><td>FIVgag QT PCR</td></tr><tr><td>FIV <sub>QT gag rev</sub></td><td>[EMPTY_CELL]</td><td>1167</td><td>FIVgag QT PCR</td></tr><tr><td>FIV <sub>Gag leader for</sub></td><td>[EMPTY_CELL]</td><td>354</td><td>FIV <i>gag </i>sequencing</td></tr><tr><td>Gag <sub>circle rev</sub></td><td>[EMPTY_CELL]</td><td>989</td><td>FIV <i>gag </i>sequencing</td></tr><tr><td>FIV <sub>U5 rev</sub></td><td>[EMPTY_CELL]</td><td>338</td><td>FIV LTR sequencing</td></tr><tr><td>FIV <sub>env for</sub></td><td>[EMPTY_CELL]</td><td>9043</td><td>FIV LTR sequencing + CJ A and B</td></tr><tr><td>FIV <sub>gag circle rev3</sub></td><td>[EMPTY_CELL]</td><td>403</td><td>CJ B</td></tr><tr><td>FIV <sub>gag rev</sub></td><td>[EMPTY_CELL]</td><td>1345</td><td>CJ A</td></tr><tr><td>FIV <sub>u5 for</sub></td><td>[EMPTY_CELL]</td><td>290</td><td>CJ C</td></tr><tr><td>FIV <sub>u3 rev</sub></td><td>[EMPTY_CELL]</td><td>155</td><td>CJ C</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Primer name</b>\", \"bbox\": [10, 4, 57, 13]}, {\"cell\": \"<b>Sequence</b>\", \"bbox\": [144, 4, 180, 13]}, {\"cell\": \"<b>FIV genomic position *</b>\", \"bbox\": [265, 4, 347, 13]}, {\"cell\": \"<b>Assay</b>\", \"bbox\": [411, 4, 432, 13]}, {\"cell\": \"feline <sub>GAPDH for</sub>\", \"bbox\": [9, 17, 58, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 17, 222, 27]}, {\"cell\": \"NA\", \"bbox\": [300, 17, 311, 27]}, {\"cell\": \"Feline GAPDH QT PCR\", \"bbox\": [384, 17, 458, 27]}, {\"cell\": \"feline <sub>GAPDH rev</sub>\", \"bbox\": [9, 30, 58, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 30, 220, 40]}, {\"cell\": \"NA\", \"bbox\": [300, 30, 311, 40]}, {\"cell\": \"Feline GAPDH QT PCR\", \"bbox\": [384, 30, 458, 40]}, {\"cell\": \"18s <sub>rRNA for</sub>\", \"bbox\": [16, 44, 52, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 44, 218, 53]}, {\"cell\": \"NA\", \"bbox\": [300, 44, 311, 53]}, {\"cell\": \"Feline 18s rRNA\", \"bbox\": [395, 44, 448, 53]}, {\"cell\": \"18s <sub>rRNA rev</sub>\", \"bbox\": [15, 57, 52, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 57, 219, 66]}, {\"cell\": \"NA\", \"bbox\": [300, 57, 311, 66]}, {\"cell\": \"Feline 18s rRNA\", \"bbox\": [395, 57, 448, 66]}, {\"cell\": \"FIV <sub>QT gag for</sub>\", \"bbox\": [13, 70, 54, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 70, 219, 79]}, {\"cell\": \"1067\", \"bbox\": [297, 70, 314, 79]}, {\"cell\": \"FIVgag QT PCR\", \"bbox\": [396, 70, 446, 79]}, {\"cell\": \"FIV <sub>QT gag rev</sub>\", \"bbox\": [13, 83, 55, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 83, 219, 93]}, {\"cell\": \"1167\", \"bbox\": [297, 83, 314, 93]}, {\"cell\": \"FIVgag QT PCR\", \"bbox\": [396, 83, 446, 93]}, {\"cell\": \"FIV <sub>Gag leader for</sub>\", \"bbox\": [9, 96, 59, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 96, 213, 106]}, {\"cell\": \"354\", \"bbox\": [299, 96, 312, 106]}, {\"cell\": \"FIV <i>gag </i>sequencing\", \"bbox\": [389, 96, 454, 106]}, {\"cell\": \"Gag <sub>circle rev</sub>\", \"bbox\": [14, 110, 54, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 110, 232, 119]}, {\"cell\": \"989\", \"bbox\": [299, 110, 312, 119]}, {\"cell\": \"FIV <i>gag </i>sequencing\", \"bbox\": [389, 110, 454, 119]}, {\"cell\": \"FIV <sub>U5 rev</sub>\", \"bbox\": [18, 123, 49, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 123, 233, 132]}, {\"cell\": \"338\", \"bbox\": [299, 123, 312, 132]}, {\"cell\": \"FIV LTR sequencing\", \"bbox\": [389, 123, 454, 132]}, {\"cell\": \"FIV <sub>env for</sub>\", \"bbox\": [18, 136, 50, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 136, 220, 145]}, {\"cell\": \"9043\", \"bbox\": [297, 136, 314, 145]}, {\"cell\": \"FIV LTR sequencing + CJ A and B\", \"bbox\": [366, 136, 477, 145]}, {\"cell\": \"FIV <sub>gag circle rev3</sub>\", \"bbox\": [8, 149, 59, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 149, 225, 159]}, {\"cell\": \"403\", \"bbox\": [299, 149, 312, 159]}, {\"cell\": \"CJ B\", \"bbox\": [413, 149, 429, 159]}, {\"cell\": \"FIV <sub>gag rev</sub>\", \"bbox\": [17, 162, 50, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 162, 224, 172]}, {\"cell\": \"1345\", \"bbox\": [297, 162, 314, 172]}, {\"cell\": \"CJ A\", \"bbox\": [413, 162, 430, 172]}, {\"cell\": \"FIV <sub>u5 for</sub>\", \"bbox\": [19, 176, 48, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 176, 245, 185]}, {\"cell\": \"290\", \"bbox\": [299, 176, 312, 185]}, {\"cell\": \"CJ C\", \"bbox\": [413, 176, 430, 185]}, {\"cell\": \"FIV <sub>u3 rev</sub>\", \"bbox\": [19, 189, 49, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 189, 227, 198]}, {\"cell\": \"155\", \"bbox\": [299, 189, 312, 198]}, {\"cell\": \"CJ C\", \"bbox\": [413, 189, 430, 198]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3292463_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}163{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>FOOD GROUP</b></td><td><b>Weight Maintenance Serves</b></td><td><b>Weight Regain Serves</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>3</td><td>4</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>4</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>4</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>4</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>4</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>1.5 to 2.0 Litres/day</td><td>1.5 to 2.0 Litres/day</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>FOOD GROUP</b>\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"<b>Weight Maintenance Serves</b>\", \"bbox\": [272, 4, 363, 13]}, {\"cell\": \"<b>Weight Regain Serves</b>\", \"bbox\": [413, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 208, 36]}, {\"cell\": \"3\", \"bbox\": [272, 17, 277, 27]}, {\"cell\": \"4\", \"bbox\": [413, 17, 419, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 104, 59]}, {\"cell\": \"1\", \"bbox\": [272, 40, 277, 50]}, {\"cell\": \"2\", \"bbox\": [413, 40, 419, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 63, 187, 82]}, {\"cell\": \"2\", \"bbox\": [272, 63, 277, 73]}, {\"cell\": \"2\", \"bbox\": [413, 63, 419, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 119, 105]}, {\"cell\": \"4\", \"bbox\": [272, 86, 277, 96]}, {\"cell\": \"4\", \"bbox\": [413, 86, 419, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 109, 153, 128]}, {\"cell\": \"2\", \"bbox\": [272, 109, 277, 119]}, {\"cell\": \"4\", \"bbox\": [413, 109, 419, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 132, 103, 151]}, {\"cell\": \"3\", \"bbox\": [272, 132, 277, 142]}, {\"cell\": \"4\", \"bbox\": [413, 132, 419, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 218, 174]}, {\"cell\": \"2\", \"bbox\": [272, 155, 277, 165]}, {\"cell\": \"4\", \"bbox\": [413, 155, 419, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 178, 221, 197]}, {\"cell\": \"1\", \"bbox\": [272, 178, 277, 188]}, {\"cell\": \"1\", \"bbox\": [413, 178, 419, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 201, 93, 220]}, {\"cell\": \"1.5 to 2.0 Litres/day\", \"bbox\": [272, 201, 336, 211]}, {\"cell\": \"1.5 to 2.0 Litres/day\", \"bbox\": [413, 201, 478, 211]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5878939_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}164{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Conduct disorder</b></td><td colspan=\\\"2\\\"><b>Healthy control group</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Male (<i>n</i> = 14)</b></td><td><b>Female (<i>n</i> = 13)</b></td><td><b>Male (<i>n</i> = 16)</b></td><td><b>Female (<i>n</i> = 13)</b></td></tr></thead><tbody><tr><td>FA (right)</td><td>0.39 ± 0.01<sup>a,b</sup></td><td>[EMPTY_CELL]</td><td>0.38 ± 0.02</td><td>0.39 ± 0.03</td></tr><tr><td>MD (right)</td><td>0.82 ± 0.02</td><td>[EMPTY_CELL]</td><td>0.84 ± 0.02</td><td>0.83 ± 0.02</td></tr><tr><td>AD_(right)</td><td>1.20 ± 0.03</td><td>[EMPTY_CELL]</td><td>1.21 ± 0.03</td><td>1.21 ± 0.04</td></tr><tr><td>RD_(right)</td><td>0.64 ± 0.02<sup>b</sup></td><td>[EMPTY_CELL]</td><td>0.66 ± 0.02</td><td>0.64 ± 0.03</td></tr><tr><td>Length_(right)</td><td>75 ± 11</td><td>[EMPTY_CELL]</td><td>75 ± 14</td><td>73 ± 12</td></tr><tr><td>Number_(right)</td><td>315 ± 73<sup>b</sup></td><td>[EMPTY_CELL]</td><td>232 ± 130</td><td>258 ± 125</td></tr><tr><td>FA (left)</td><td>0.42 ± 0.02<sup>a,b</sup></td><td>[EMPTY_CELL]</td><td>0.40 ± 0.02</td><td>0.41 ± 0.02</td></tr><tr><td>MD (left)</td><td>0.80 ± 0.02</td><td>[EMPTY_CELL]</td><td>0.81 ± 0.02</td><td>0.81 ± 0.02</td></tr><tr><td>AD (left)</td><td>1.20 ± 0.03</td><td>[EMPTY_CELL]</td><td>1.20 ± 0.04</td><td>1.20 ± 0.03</td></tr><tr><td>RD (left)</td><td>0.60 ± 0.02<sup>a,b</sup></td><td>[EMPTY_CELL]</td><td>0.62 ± 0.02</td><td>0.61 ± 0.03</td></tr><tr><td>Length (left)</td><td>71 ± 8</td><td>[EMPTY_CELL]</td><td>74 ± 13</td><td>66 ± 15</td></tr><tr><td>Number (left)</td><td>194 ± 82</td><td>[EMPTY_CELL]</td><td>176 ± 99</td><td>200 ± 108</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Conduct disorder</b>\", \"bbox\": [164, 4, 230, 15]}, {\"cell\": \"<b>Healthy control group</b>\", \"bbox\": [376, 4, 457, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Male (<i>n</i> = 14)</b>\", \"bbox\": [114, 16, 164, 27]}, {\"cell\": \"<b>Female (<i>n</i> = 13)</b>\", \"bbox\": [221, 16, 278, 27]}, {\"cell\": \"<b>Male (<i>n</i> = 16)</b>\", \"bbox\": [335, 16, 385, 27]}, {\"cell\": \"<b>Female (<i>n</i> = 13)</b>\", \"bbox\": [442, 16, 499, 27]}, {\"cell\": \"FA (right)\", \"bbox\": [2, 29, 40, 40]}, {\"cell\": \"0.39 ± 0.01<sup>a,b</sup>\", \"bbox\": [115, 26, 162, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 26, 270, 41]}, {\"cell\": \"0.38 ± 0.02\", \"bbox\": [339, 26, 380, 41]}, {\"cell\": \"0.39 ± 0.03\", \"bbox\": [450, 26, 491, 41]}, {\"cell\": \"MD (right)\", \"bbox\": [2, 42, 45, 52]}, {\"cell\": \"0.82 ± 0.02\", \"bbox\": [119, 38, 160, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 38, 270, 54]}, {\"cell\": \"0.84 ± 0.02\", \"bbox\": [339, 38, 380, 54]}, {\"cell\": \"0.83 ± 0.02\", \"bbox\": [450, 38, 491, 54]}, {\"cell\": \"AD_(right)\", \"bbox\": [2, 54, 44, 65]}, {\"cell\": \"1.20 ± 0.03\", \"bbox\": [119, 51, 159, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 51, 270, 66]}, {\"cell\": \"1.21 ± 0.03\", \"bbox\": [341, 51, 379, 66]}, {\"cell\": \"1.21 ± 0.04\", \"bbox\": [451, 51, 490, 66]}, {\"cell\": \"RD_(right)\", \"bbox\": [2, 67, 43, 77]}, {\"cell\": \"0.64 ± 0.02<sup>b</sup>\", \"bbox\": [117, 63, 161, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 63, 270, 79]}, {\"cell\": \"0.66 ± 0.02\", \"bbox\": [339, 63, 381, 79]}, {\"cell\": \"0.64 ± 0.03\", \"bbox\": [449, 63, 491, 79]}, {\"cell\": \"Length_(right)\", \"bbox\": [2, 79, 57, 90]}, {\"cell\": \"75 ± 11\", \"bbox\": [126, 76, 152, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 76, 263, 91]}, {\"cell\": \"75 ± 14\", \"bbox\": [346, 76, 373, 91]}, {\"cell\": \"73 ± 12\", \"bbox\": [457, 76, 483, 91]}, {\"cell\": \"Number_(right)\", \"bbox\": [2, 91, 61, 102]}, {\"cell\": \"315 ± 73<sup>b</sup>\", \"bbox\": [122, 88, 156, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 88, 267, 104]}, {\"cell\": \"232 ± 130\", \"bbox\": [342, 88, 377, 104]}, {\"cell\": \"258 ± 125\", \"bbox\": [452, 88, 488, 104]}, {\"cell\": \"FA (left)\", \"bbox\": [2, 104, 34, 115]}, {\"cell\": \"0.42 ± 0.02<sup>a,b</sup>\", \"bbox\": [115, 101, 163, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 101, 270, 117]}, {\"cell\": \"0.40 ± 0.02\", \"bbox\": [339, 101, 381, 117]}, {\"cell\": \"0.41 ± 0.02\", \"bbox\": [450, 101, 490, 117]}, {\"cell\": \"MD (left)\", \"bbox\": [2, 117, 39, 127]}, {\"cell\": \"0.80 ± 0.02\", \"bbox\": [118, 114, 160, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 114, 270, 129]}, {\"cell\": \"0.81 ± 0.02\", \"bbox\": [340, 114, 380, 129]}, {\"cell\": \"0.81 ± 0.02\", \"bbox\": [450, 114, 490, 129]}, {\"cell\": \"AD (left)\", \"bbox\": [2, 129, 37, 140]}, {\"cell\": \"1.20 ± 0.03\", \"bbox\": [119, 126, 159, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 126, 269, 141]}, {\"cell\": \"1.20 ± 0.04\", \"bbox\": [340, 126, 380, 141]}, {\"cell\": \"1.20 ± 0.03\", \"bbox\": [450, 126, 490, 141]}, {\"cell\": \"RD (left)\", \"bbox\": [2, 142, 36, 152]}, {\"cell\": \"0.60 ± 0.02<sup>a,b</sup>\", \"bbox\": [115, 138, 163, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 138, 270, 154]}, {\"cell\": \"0.62 ± 0.02\", \"bbox\": [339, 138, 380, 154]}, {\"cell\": \"0.61 ± 0.03\", \"bbox\": [450, 138, 490, 154]}, {\"cell\": \"Length (left)\", \"bbox\": [2, 154, 49, 165]}, {\"cell\": \"71 ± 8\", \"bbox\": [128, 151, 151, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 151, 263, 166]}, {\"cell\": \"74 ± 13\", \"bbox\": [346, 151, 373, 166]}, {\"cell\": \"66 ± 15\", \"bbox\": [456, 151, 484, 166]}, {\"cell\": \"Number (left)\", \"bbox\": [2, 167, 54, 177]}, {\"cell\": \"194 ± 82\", \"bbox\": [123, 163, 155, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 163, 267, 179]}, {\"cell\": \"176 ± 99\", \"bbox\": [344, 163, 376, 179]}, {\"cell\": \"200 ± 108\", \"bbox\": [452, 163, 488, 179]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4009134_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}165{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Job dissatisfaction during two subsequent years and ...</b></td><td colspan=\\\"2\\\"><b>Frequency</b></td><td rowspan=\\\"2\\\"><b>Transition from ... to job lock </b></td><td colspan=\\\"2\\\"><b>Frequency</b></td><td rowspan=\\\"2\\\"><b>Transition from job lock to ...</b></td><td colspan=\\\"2\\\"><b>Frequency</b></td></tr><tr><td><b><i>N </i></b></td><td><b>%</b></td><td><b><i>N </i></b></td><td><b>%</b></td><td><b><i>N </i></b></td><td><b>%</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>1605</td><td>54.4</td><td>1 = dissatisfied and immobile</td><td>484</td><td>61.4</td><td>1 = dissatisfied and immobile</td><td>364</td><td>44.1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2 = dissatisfied and mobile</td><td>51</td><td>6.5</td><td>2 = dissatisfied and mobile</td><td>78</td><td>9.5</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>1344</td><td>45.6</td><td>3 = satisfied and immobile</td><td>206</td><td>26.1</td><td>3 = satisfied and immobile</td><td>267</td><td>32.4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4 = satisfied and mobile</td><td>47</td><td>6.0</td><td>4 = satisfied and mobile</td><td>116</td><td>14.1</td></tr><tr><td>[EMPTY_CELL]</td><td>2949</td><td>100</td><td>[EMPTY_CELL]</td><td>788</td><td>100</td><td>[EMPTY_CELL]</td><td>825</td><td>100</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Job dissatisfaction during two subsequent years and ...</b>\", \"bbox\": [2, 5, 111, 27]}, {\"cell\": \"<b>Frequency</b>\", \"bbox\": [138, 4, 177, 15]}, {\"cell\": \"<b>Transition from ... to job lock </b>\", \"bbox\": [193, 5, 252, 27]}, {\"cell\": \"<b>Frequency</b>\", \"bbox\": [291, 4, 331, 15]}, {\"cell\": \"<b>Transition from job lock to ...</b>\", \"bbox\": [367, 5, 426, 27]}, {\"cell\": \"<b>Frequency</b>\", \"bbox\": [445, 4, 485, 15]}, {\"cell\": \"<b><i>N </i></b>\", \"bbox\": [135, 18, 143, 26]}, {\"cell\": \"<b>%</b>\", \"bbox\": [169, 18, 178, 29]}, {\"cell\": \"<b><i>N </i></b>\", \"bbox\": [279, 18, 287, 26]}, {\"cell\": \"<b>%</b>\", \"bbox\": [334, 18, 343, 29]}, {\"cell\": \"<b><i>N </i></b>\", \"bbox\": [443, 18, 452, 26]}, {\"cell\": \"<b>%</b>\", \"bbox\": [478, 18, 487, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 36, 120, 57]}, {\"cell\": \"1605\", \"bbox\": [130, 40, 148, 51]}, {\"cell\": \"54.4\", \"bbox\": [165, 40, 182, 51]}, {\"cell\": \"1 = dissatisfied and immobile\", \"bbox\": [197, 31, 250, 52]}, {\"cell\": \"484\", \"bbox\": [276, 36, 291, 47]}, {\"cell\": \"61.4\", \"bbox\": [330, 36, 346, 47]}, {\"cell\": \"1 = dissatisfied and immobile\", \"bbox\": [371, 31, 425, 52]}, {\"cell\": \"364\", \"bbox\": [440, 36, 455, 47]}, {\"cell\": \"44.1\", \"bbox\": [475, 36, 491, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 = dissatisfied and mobile\", \"bbox\": [196, 54, 251, 75]}, {\"cell\": \"51\", \"bbox\": [279, 59, 288, 70]}, {\"cell\": \"6.5\", \"bbox\": [332, 59, 345, 70]}, {\"cell\": \"2 = dissatisfied and mobile\", \"bbox\": [371, 54, 425, 75]}, {\"cell\": \"78\", \"bbox\": [443, 59, 453, 70]}, {\"cell\": \"9.5\", \"bbox\": [477, 59, 489, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 82, 117, 103]}, {\"cell\": \"1344\", \"bbox\": [130, 86, 148, 97]}, {\"cell\": \"45.6\", \"bbox\": [165, 86, 182, 97]}, {\"cell\": \"3 = satisfied and immobile\", \"bbox\": [194, 77, 254, 98]}, {\"cell\": \"206\", \"bbox\": [276, 82, 291, 93]}, {\"cell\": \"26.1\", \"bbox\": [330, 82, 346, 93]}, {\"cell\": \"3 = satisfied and immobile\", \"bbox\": [368, 77, 428, 98]}, {\"cell\": \"267\", \"bbox\": [440, 82, 455, 93]}, {\"cell\": \"32.4\", \"bbox\": [474, 82, 491, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4 = satisfied and mobile\", \"bbox\": [194, 100, 254, 121]}, {\"cell\": \"47\", \"bbox\": [278, 105, 289, 116]}, {\"cell\": \"6.0\", \"bbox\": [332, 105, 345, 116]}, {\"cell\": \"4 = satisfied and mobile\", \"bbox\": [368, 100, 428, 121]}, {\"cell\": \"116\", \"bbox\": [442, 105, 454, 116]}, {\"cell\": \"14.1\", \"bbox\": [476, 105, 490, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 124, 23, 135]}, {\"cell\": \"2949\", \"bbox\": [129, 124, 149, 135]}, {\"cell\": \"100\", \"bbox\": [167, 124, 181, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"788\", \"bbox\": [276, 124, 291, 135]}, {\"cell\": \"100\", \"bbox\": [331, 124, 345, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"825\", \"bbox\": [441, 124, 455, 135]}, {\"cell\": \"100\", \"bbox\": [476, 124, 490, 135]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3664490_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}166{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>MRSA</b></td><td><b>No MRSA</b></td><td><b>p</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>(n = 837)</b></td><td><b>(n = 5138)</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td><b>Demographics</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age, mean ± SD, years</td><td>[EMPTY_CELL]</td><td>67.1 ± 17.0</td><td><0.001</td></tr><tr><td>Male, %</td><td>[EMPTY_CELL]</td><td>55.7%</td><td>0.435</td></tr><tr><td>Race</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.606</td></tr><tr><td>Caucasian, %</td><td>[EMPTY_CELL]</td><td>82.1%</td><td>[EMPTY_CELL]</td></tr><tr><td>African-American, %</td><td>[EMPTY_CELL]</td><td>13.4%</td><td>[EMPTY_CELL]</td></tr><tr><td>Other/Unknown, %</td><td>[EMPTY_CELL]</td><td>4.5%</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Co morbid illnesses </b><b>(current or prior to index admission unless noted)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypertension, %</td><td>[EMPTY_CELL]</td><td>52.8%</td><td>0.075</td></tr><tr><td>Diabetes mellitus, %</td><td>[EMPTY_CELL]</td><td>25.4%</td><td>0.117</td></tr><tr><td>Coronary artery disease, %</td><td>[EMPTY_CELL]</td><td>27.6%</td><td>0.358</td></tr><tr><td>Congestive heart failure, %</td><td>[EMPTY_CELL]</td><td>26.8%</td><td><0.001</td></tr><tr><td>Chronic obstructive pulmonary disease, %</td><td>[EMPTY_CELL]</td><td>44.7%</td><td>0.004</td></tr><tr><td>Malignancy (includes lymphoma, myeloma, secondary neoplasm), %</td><td>[EMPTY_CELL]</td><td>14.%</td><td>0.433</td></tr><tr><td>Cerebrovascular disease (any) prior to index admission, %</td><td>[EMPTY_CELL]</td><td>5.0%</td><td><0.001</td></tr><tr><td>Ischemic stroke prior to index admission, %</td><td>[EMPTY_CELL]</td><td>3.2%</td><td>0.007</td></tr><tr><td>Dementia, %</td><td>[EMPTY_CELL]</td><td>4.6%</td><td><0.001</td></tr><tr><td>Chronic haemodialysis, %</td><td>[EMPTY_CELL]</td><td>15.6%</td><td><0.001</td></tr><tr><td><b>Healthcare</b>-<b>associated risk factors</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Nursing home/skilled nursing facility/long term acute care exposure within last 90 days, %</td><td>[EMPTY_CELL]</td><td>11.4%</td><td><0.001</td></tr><tr><td>Hospital-based wound care within 30 days prior to index admission, %</td><td>[EMPTY_CELL]</td><td>1.32%</td><td><0.001</td></tr><tr><td>Recent hospitalization (for ≥ 2 days and within the last 90 days), %</td><td>[EMPTY_CELL]</td><td>21.7%</td><td><0.001</td></tr><tr><td>Prior intravenous antibiotic therapy within the last 30 days, %</td><td>[EMPTY_CELL]</td><td>1.3%</td><td><0.001</td></tr><tr><td>Immunosuppression, %</td><td>[EMPTY_CELL]</td><td>16.2%</td><td><0.001</td></tr><tr><td><b>Severity of illness</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Intensive care unit admission (on or before index culture), %</td><td>[EMPTY_CELL]</td><td>14.9%</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MRSA</b>\", \"bbox\": [331, 4, 353, 13]}, {\"cell\": \"<b>No MRSA</b>\", \"bbox\": [393, 4, 428, 13]}, {\"cell\": \"<b>p</b>\", \"bbox\": [469, 4, 476, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>(n = 837)</b>\", \"bbox\": [326, 17, 358, 27]}, {\"cell\": \"<b>(n = 5138)</b>\", \"bbox\": [393, 17, 429, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Demographics</b>\", \"bbox\": [1, 30, 53, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age, mean ± SD, years\", \"bbox\": [1, 44, 74, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 44, 360, 54]}, {\"cell\": \"67.1 ± 17.0\", \"bbox\": [393, 44, 428, 54]}, {\"cell\": \"<0.001\", \"bbox\": [461, 44, 484, 54]}, {\"cell\": \"Male, %\", \"bbox\": [1, 58, 27, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 58, 353, 68]}, {\"cell\": \"55.7%\", \"bbox\": [400, 58, 421, 68]}, {\"cell\": \"0.435\", \"bbox\": [463, 58, 482, 68]}, {\"cell\": \"Race\", \"bbox\": [1, 72, 17, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.606\", \"bbox\": [463, 72, 482, 82]}, {\"cell\": \"Caucasian, %\", \"bbox\": [10, 86, 53, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 86, 353, 96]}, {\"cell\": \"82.1%\", \"bbox\": [400, 86, 421, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"African-American, %\", \"bbox\": [10, 100, 76, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 100, 353, 110]}, {\"cell\": \"13.4%\", \"bbox\": [400, 100, 421, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other/Unknown, %\", \"bbox\": [10, 114, 73, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 114, 351, 124]}, {\"cell\": \"4.5%\", \"bbox\": [402, 114, 419, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Co morbid illnesses </b><b>(current or prior to index admission unless noted)</b>\", \"bbox\": [1, 128, 246, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hypertension, %\", \"bbox\": [1, 142, 55, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 142, 353, 152]}, {\"cell\": \"52.8%\", \"bbox\": [400, 142, 421, 152]}, {\"cell\": \"0.075\", \"bbox\": [463, 142, 482, 152]}, {\"cell\": \"Diabetes mellitus, %\", \"bbox\": [1, 156, 67, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 156, 353, 166]}, {\"cell\": \"25.4%\", \"bbox\": [400, 156, 421, 166]}, {\"cell\": \"0.117\", \"bbox\": [463, 156, 482, 166]}, {\"cell\": \"Coronary artery disease, %\", \"bbox\": [1, 170, 87, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 170, 353, 180]}, {\"cell\": \"27.6%\", \"bbox\": [400, 170, 421, 180]}, {\"cell\": \"0.358\", \"bbox\": [463, 170, 482, 180]}, {\"cell\": \"Congestive heart failure, %\", \"bbox\": [1, 184, 88, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 184, 353, 194]}, {\"cell\": \"26.8%\", \"bbox\": [400, 184, 421, 194]}, {\"cell\": \"<0.001\", \"bbox\": [461, 184, 484, 194]}, {\"cell\": \"Chronic obstructive pulmonary disease, %\", \"bbox\": [1, 198, 137, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 198, 353, 208]}, {\"cell\": \"44.7%\", \"bbox\": [400, 198, 421, 208]}, {\"cell\": \"0.004\", \"bbox\": [463, 198, 482, 208]}, {\"cell\": \"Malignancy (includes lymphoma, myeloma, secondary neoplasm), %\", \"bbox\": [1, 212, 221, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 212, 353, 222]}, {\"cell\": \"14.%\", \"bbox\": [402, 212, 419, 222]}, {\"cell\": \"0.433\", \"bbox\": [463, 212, 482, 222]}, {\"cell\": \"Cerebrovascular disease (any) prior to index admission, %\", \"bbox\": [1, 226, 186, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 226, 353, 236]}, {\"cell\": \"5.0%\", \"bbox\": [402, 226, 419, 236]}, {\"cell\": \"<0.001\", \"bbox\": [461, 226, 484, 236]}, {\"cell\": \"Ischemic stroke prior to index admission, %\", \"bbox\": [1, 240, 142, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 240, 351, 250]}, {\"cell\": \"3.2%\", \"bbox\": [402, 240, 419, 250]}, {\"cell\": \"0.007\", \"bbox\": [463, 240, 482, 250]}, {\"cell\": \"Dementia, %\", \"bbox\": [1, 254, 43, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 254, 351, 264]}, {\"cell\": \"4.6%\", \"bbox\": [402, 254, 419, 264]}, {\"cell\": \"<0.001\", \"bbox\": [461, 254, 484, 264]}, {\"cell\": \"Chronic haemodialysis, %\", \"bbox\": [1, 268, 84, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 268, 353, 278]}, {\"cell\": \"15.6%\", \"bbox\": [400, 268, 421, 278]}, {\"cell\": \"<0.001\", \"bbox\": [461, 268, 484, 278]}, {\"cell\": \"<b>Healthcare</b>-<b>associated risk factors</b>\", \"bbox\": [1, 282, 118, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nursing home/skilled nursing facility/long term acute care exposure within last 90 days, %\", \"bbox\": [1, 296, 292, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 296, 353, 306]}, {\"cell\": \"11.4%\", \"bbox\": [400, 296, 421, 306]}, {\"cell\": \"<0.001\", \"bbox\": [461, 296, 484, 306]}, {\"cell\": \"Hospital-based wound care within 30 days prior to index admission, %\", \"bbox\": [1, 310, 229, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 310, 353, 320]}, {\"cell\": \"1.32%\", \"bbox\": [400, 310, 421, 320]}, {\"cell\": \"<0.001\", \"bbox\": [461, 310, 484, 320]}, {\"cell\": \"Recent hospitalization (for ≥ 2 days and within the last 90 days), %\", \"bbox\": [1, 324, 217, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 324, 353, 334]}, {\"cell\": \"21.7%\", \"bbox\": [400, 324, 421, 334]}, {\"cell\": \"<0.001\", \"bbox\": [461, 324, 484, 334]}, {\"cell\": \"Prior intravenous antibiotic therapy within the last 30 days, %\", \"bbox\": [1, 338, 200, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 338, 351, 348]}, {\"cell\": \"1.3%\", \"bbox\": [402, 338, 419, 348]}, {\"cell\": \"<0.001\", \"bbox\": [461, 338, 484, 348]}, {\"cell\": \"Immunosuppression, %\", \"bbox\": [1, 352, 77, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 352, 353, 362]}, {\"cell\": \"16.2%\", \"bbox\": [400, 352, 421, 362]}, {\"cell\": \"<0.001\", \"bbox\": [461, 352, 484, 362]}, {\"cell\": \"<b>Severity of illness</b>\", \"bbox\": [1, 366, 63, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Intensive care unit admission (on or before index culture), %\", \"bbox\": [1, 380, 196, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 380, 353, 390]}, {\"cell\": \"14.9%\", \"bbox\": [400, 380, 421, 390]}, {\"cell\": \"<0.001\", \"bbox\": [461, 380, 484, 390]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3681572_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}167{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Model 0</b></td><td><b>Model 1b</b></td><td><b>Model 2b</b></td><td><b>Model 3b</b></td><td><b>Model 4b</b></td><td><b>Model 5b</b></td><td><b>Model 6b</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Fixed effects</b></td><td><b>Fixed effects</b></td><td><b>Fixed effects</b></td><td><b>Fixed effects</b></td><td><b>Fixed effects</b></td><td><b>Fixed effects</b></td><td><b>Fixed effects</b></td></tr></thead><tbody><tr><td>Variables</td><td>SRH</td><td>SRH</td><td>SRH</td><td>[EMPTY_CELL]</td><td>SRH</td><td>SRH</td><td>SRH</td></tr><tr><td>Unemployment</td><td>−0.044**</td><td>−0.042</td><td>−0.043</td><td>[EMPTY_CELL]</td><td>−0.044**</td><td>−0.027</td><td>−0.044*</td></tr><tr><td>[EMPTY_CELL]</td><td>(0.021)</td><td>(0.021)</td><td>(0.021)</td><td>[EMPTY_CELL]</td><td>(0.021)</td><td>(0.020)</td><td>(0.021)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.020</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.035)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Relative income</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.017</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.033)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Relative rank</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Income deprivation</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.131</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.166)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Financial strain</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−0.059***</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.014)</td><td>[EMPTY_CELL]</td></tr><tr><td>Absolute income – excl. unemployment benefit</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.015</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.034)</td></tr><tr><td>Unemployment benefit</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.010</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.015)</td></tr><tr><td>Control for partnership status:</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>YES</td><td>NO</td><td>NO</td><td>[EMPTY_CELL]</td><td>NO</td><td>YES</td><td>NO</td></tr><tr><td>Observations</td><td>16,913</td><td>16,913</td><td>16,913</td><td>[EMPTY_CELL]</td><td>16,913</td><td>16,913</td><td>16,912</td></tr><tr><td>R-squared (within)</td><td>0.009</td><td>0.009</td><td>0.009</td><td>[EMPTY_CELL]</td><td>0.009</td><td>0.013</td><td>0.009</td></tr><tr><td>Number of respondents</td><td>6,200</td><td>6,200</td><td>6,200</td><td>[EMPTY_CELL]</td><td>6,200</td><td>6,200</td><td>6,200</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Model 0</b>\", \"bbox\": [161, 4, 189, 13]}, {\"cell\": \"<b>Model 1b</b>\", \"bbox\": [208, 4, 241, 13]}, {\"cell\": \"<b>Model 2b</b>\", \"bbox\": [255, 4, 288, 13]}, {\"cell\": \"<b>Model 3b</b>\", \"bbox\": [302, 4, 335, 13]}, {\"cell\": \"<b>Model 4b</b>\", \"bbox\": [349, 4, 381, 13]}, {\"cell\": \"<b>Model 5b</b>\", \"bbox\": [396, 4, 428, 13]}, {\"cell\": \"<b>Model 6b</b>\", \"bbox\": [443, 4, 475, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Fixed effects</b>\", \"bbox\": [161, 17, 203, 27]}, {\"cell\": \"<b>Fixed effects</b>\", \"bbox\": [208, 17, 250, 27]}, {\"cell\": \"<b>Fixed effects</b>\", \"bbox\": [255, 17, 297, 27]}, {\"cell\": \"<b>Fixed effects</b>\", \"bbox\": [302, 17, 344, 27]}, {\"cell\": \"<b>Fixed effects</b>\", \"bbox\": [349, 17, 391, 27]}, {\"cell\": \"<b>Fixed effects</b>\", \"bbox\": [396, 17, 438, 27]}, {\"cell\": \"<b>Fixed effects</b>\", \"bbox\": [443, 17, 484, 27]}, {\"cell\": \"Variables\", \"bbox\": [1, 30, 30, 40]}, {\"cell\": \"SRH\", \"bbox\": [161, 30, 176, 40]}, {\"cell\": \"SRH\", \"bbox\": [208, 30, 223, 40]}, {\"cell\": \"SRH\", \"bbox\": [255, 30, 270, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 30, 316, 40]}, {\"cell\": \"SRH\", \"bbox\": [349, 30, 363, 40]}, {\"cell\": \"SRH\", \"bbox\": [396, 30, 410, 40]}, {\"cell\": \"SRH\", \"bbox\": [443, 30, 457, 40]}, {\"cell\": \"Unemployment\", \"bbox\": [1, 44, 53, 54]}, {\"cell\": \"−0.044**\", \"bbox\": [161, 44, 191, 54]}, {\"cell\": \"−0.042\", \"bbox\": [208, 44, 231, 54]}, {\"cell\": \"−0.043\", \"bbox\": [255, 44, 278, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 44, 331, 54]}, {\"cell\": \"−0.044**\", \"bbox\": [349, 44, 378, 54]}, {\"cell\": \"−0.027\", \"bbox\": [396, 44, 419, 54]}, {\"cell\": \"−0.044*\", \"bbox\": [443, 44, 469, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.021)\", \"bbox\": [161, 58, 184, 68]}, {\"cell\": \"(0.021)\", \"bbox\": [208, 58, 231, 68]}, {\"cell\": \"(0.021)\", \"bbox\": [255, 58, 278, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 58, 325, 68]}, {\"cell\": \"(0.021)\", \"bbox\": [349, 58, 372, 68]}, {\"cell\": \"(0.020)\", \"bbox\": [396, 58, 418, 68]}, {\"cell\": \"(0.021)\", \"bbox\": [443, 58, 465, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.020\", \"bbox\": [208, 72, 227, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.035)\", \"bbox\": [208, 86, 231, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Relative income\", \"bbox\": [1, 100, 53, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.017\", \"bbox\": [255, 100, 274, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.033)\", \"bbox\": [255, 114, 278, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Relative rank\", \"bbox\": [1, 128, 43, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 128, 320, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 142, 325, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Income deprivation\", \"bbox\": [1, 156, 65, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.131\", \"bbox\": [349, 156, 367, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.166)\", \"bbox\": [349, 170, 372, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Financial strain\", \"bbox\": [1, 184, 50, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.059***\", \"bbox\": [396, 184, 428, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.014)\", \"bbox\": [396, 198, 418, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Absolute income – excl. unemployment benefit\", \"bbox\": [1, 212, 156, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.015\", \"bbox\": [443, 212, 461, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.034)\", \"bbox\": [443, 226, 465, 236]}, {\"cell\": \"Unemployment benefit\", \"bbox\": [1, 240, 77, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.010\", \"bbox\": [443, 240, 461, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.015)\", \"bbox\": [443, 254, 465, 264]}, {\"cell\": \"Control for partnership status:\", \"bbox\": [1, 268, 98, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YES\", \"bbox\": [161, 282, 174, 292]}, {\"cell\": \"NO\", \"bbox\": [208, 282, 220, 292]}, {\"cell\": \"NO\", \"bbox\": [255, 282, 267, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 282, 314, 292]}, {\"cell\": \"NO\", \"bbox\": [349, 282, 361, 292]}, {\"cell\": \"YES\", \"bbox\": [396, 282, 409, 292]}, {\"cell\": \"NO\", \"bbox\": [443, 282, 455, 292]}, {\"cell\": \"Observations\", \"bbox\": [1, 296, 44, 306]}, {\"cell\": \"16,913\", \"bbox\": [161, 296, 183, 306]}, {\"cell\": \"16,913\", \"bbox\": [208, 296, 230, 306]}, {\"cell\": \"16,913\", \"bbox\": [255, 296, 277, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 296, 324, 306]}, {\"cell\": \"16,913\", \"bbox\": [349, 296, 371, 306]}, {\"cell\": \"16,913\", \"bbox\": [396, 296, 418, 306]}, {\"cell\": \"16,912\", \"bbox\": [443, 296, 465, 306]}, {\"cell\": \"R-squared (within)\", \"bbox\": [1, 310, 61, 320]}, {\"cell\": \"0.009\", \"bbox\": [161, 310, 180, 320]}, {\"cell\": \"0.009\", \"bbox\": [208, 310, 227, 320]}, {\"cell\": \"0.009\", \"bbox\": [255, 310, 274, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 310, 320, 320]}, {\"cell\": \"0.009\", \"bbox\": [349, 310, 367, 320]}, {\"cell\": \"0.013\", \"bbox\": [396, 310, 414, 320]}, {\"cell\": \"0.009\", \"bbox\": [443, 310, 461, 320]}, {\"cell\": \"Number of respondents\", \"bbox\": [1, 324, 79, 334]}, {\"cell\": \"6,200\", \"bbox\": [161, 324, 180, 334]}, {\"cell\": \"6,200\", \"bbox\": [208, 324, 227, 334]}, {\"cell\": \"6,200\", \"bbox\": [255, 324, 274, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 324, 320, 334]}, {\"cell\": \"6,200\", \"bbox\": [349, 324, 367, 334]}, {\"cell\": \"6,200\", \"bbox\": [396, 324, 414, 334]}, {\"cell\": \"6,200\", \"bbox\": [443, 324, 461, 334]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4858892_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}168{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Number (%)</b></td><td><b>Correct knowledge %</b></td><td><b>OR (95%CI)</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Age, years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 60–64</td><td>910 (32.9)</td><td>25.4</td><td><i>reference</i></td><td>[EMPTY_CELL]</td></tr><tr><td> 65–69</td><td>775 (28.0)</td><td>25.5</td><td>1.01 (0.81–1.26)</td><td>[EMPTY_CELL]</td></tr><tr><td> 70–74</td><td>554 (20.0)</td><td>24.2</td><td>0.94 (0.76–1.24)</td><td>[EMPTY_CELL]</td></tr><tr><td> 75–79</td><td>348 (12.6)</td><td>19.5</td><td>0.71 (0.53–0.97)</td><td>[EMPTY_CELL]</td></tr><tr><td> 80–84</td><td>180 (6.5)</td><td>15.6</td><td>0.54 (0.35–0.83)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>1215 (43.9)</td><td>25.3</td><td><i>reference</i></td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>1552 (56.1)</td><td>22.6</td><td>0.86 (0.72–1.03)</td><td>[EMPTY_CELL]</td></tr><tr><td>Marital status</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Married/cohabiting</td><td>1842 (65.9)</td><td>24.2</td><td><i>reference</i></td><td>[EMPTY_CELL]</td></tr><tr><td> Single*</td><td>943 (34.1)</td><td>23.1</td><td>0.94 (0.78–1.14)</td><td>[EMPTY_CELL]</td></tr><tr><td>Education level</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> High</td><td>303 (11.0)</td><td>30.7</td><td><i>reference</i></td><td>[EMPTY_CELL]</td></tr><tr><td> medium</td><td>939 (33.9)</td><td>27.4</td><td>0.85 (0.64–1.13)</td><td>[EMPTY_CELL]</td></tr><tr><td> Low</td><td>1025 (37.0)</td><td>22.5</td><td>0.66 (0.49–0.87)</td><td>[EMPTY_CELL]</td></tr><tr><td> Illiterate</td><td>500 (18.1)</td><td>15.6</td><td>0.42 (0.29–0.59)</td><td>[EMPTY_CELL]</td></tr><tr><td>Household income</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> High</td><td>1169 (42.6)</td><td>25.1</td><td><i>reference</i></td><td>[EMPTY_CELL]</td></tr><tr><td> Medium</td><td>706 (25.7)</td><td>21.8</td><td>0.83 (0.67–1.04)</td><td>[EMPTY_CELL]</td></tr><tr><td> Low</td><td>871 (31.7)</td><td>23.0</td><td>0.89 (0.72–1.09)</td><td>[EMPTY_CELL]</td></tr><tr><td>Family history of stroke</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Family history</td><td>470 (17.0)</td><td>77.2</td><td><i>reference</i></td><td>[EMPTY_CELL]</td></tr><tr><td> No family history</td><td>2297 (83.0)</td><td>64.3</td><td>0.84 (0.67–1.05)</td><td>[EMPTY_CELL]</td></tr><tr><td>Knowledge of the definition of stroke</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Correct</td><td>1214 (43.9)</td><td>28.7</td><td><i>reference</i></td><td>[EMPTY_CELL]</td></tr><tr><td> Incorrect</td><td>1553 (56.1)</td><td>20.0</td><td>0.62 (0.52–0.74)</td><td>[EMPTY_CELL]</td></tr><tr><td>Preferred medical treatment</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Western</td><td>1625 (58.7)</td><td>24.7</td><td><i>reference</i></td><td>[EMPTY_CELL]</td></tr><tr><td> Oriental Traditional</td><td>1142 (41.3)</td><td>22.5</td><td>1.13 (0.95–1.35)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number (%)</b>\", \"bbox\": [190, 4, 233, 14]}, {\"cell\": \"<b>Correct knowledge %</b>\", \"bbox\": [259, 4, 334, 14]}, {\"cell\": \"<b>OR (95%CI)</b>\", \"bbox\": [372, 4, 415, 14]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [459, 5, 465, 14]}, {\"cell\": \"Age, years\", \"bbox\": [4, 27, 41, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 60–64\", \"bbox\": [14, 37, 37, 47]}, {\"cell\": \"910 (32.9)\", \"bbox\": [190, 37, 226, 47]}, {\"cell\": \"25.4\", \"bbox\": [259, 37, 275, 47]}, {\"cell\": \"<i>reference</i>\", \"bbox\": [372, 37, 403, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 37, 479, 47]}, {\"cell\": \" 65–69\", \"bbox\": [14, 47, 37, 57]}, {\"cell\": \"775 (28.0)\", \"bbox\": [190, 47, 226, 57]}, {\"cell\": \"25.5\", \"bbox\": [259, 47, 275, 57]}, {\"cell\": \"1.01 (0.81–1.26)\", \"bbox\": [372, 47, 428, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 70–74\", \"bbox\": [14, 57, 37, 67]}, {\"cell\": \"554 (20.0)\", \"bbox\": [190, 57, 226, 67]}, {\"cell\": \"24.2\", \"bbox\": [259, 57, 275, 67]}, {\"cell\": \"0.94 (0.76–1.24)\", \"bbox\": [372, 57, 428, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 75–79\", \"bbox\": [14, 67, 37, 77]}, {\"cell\": \"348 (12.6)\", \"bbox\": [190, 67, 226, 77]}, {\"cell\": \"19.5\", \"bbox\": [259, 67, 275, 77]}, {\"cell\": \"0.71 (0.53–0.97)\", \"bbox\": [372, 67, 428, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 80–84\", \"bbox\": [14, 78, 37, 88]}, {\"cell\": \"180 (6.5)\", \"bbox\": [190, 78, 222, 88]}, {\"cell\": \"15.6\", \"bbox\": [259, 78, 275, 88]}, {\"cell\": \"0.54 (0.35–0.83)\", \"bbox\": [372, 78, 428, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender\", \"bbox\": [4, 98, 32, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [14, 108, 32, 118]}, {\"cell\": \"1215 (43.9)\", \"bbox\": [190, 108, 230, 118]}, {\"cell\": \"25.3\", \"bbox\": [259, 108, 275, 118]}, {\"cell\": \"<i>reference</i>\", \"bbox\": [372, 109, 403, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 108, 480, 118]}, {\"cell\": \" Female\", \"bbox\": [14, 119, 40, 129]}, {\"cell\": \"1552 (56.1)\", \"bbox\": [190, 119, 230, 129]}, {\"cell\": \"22.6\", \"bbox\": [259, 119, 275, 129]}, {\"cell\": \"0.86 (0.72–1.03)\", \"bbox\": [372, 119, 428, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Marital status\", \"bbox\": [4, 139, 51, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Married/cohabiting\", \"bbox\": [14, 150, 79, 159]}, {\"cell\": \"1842 (65.9)\", \"bbox\": [190, 150, 230, 159]}, {\"cell\": \"24.2\", \"bbox\": [259, 150, 275, 159]}, {\"cell\": \"<i>reference</i>\", \"bbox\": [372, 150, 403, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 150, 480, 159]}, {\"cell\": \" Single*\", \"bbox\": [14, 160, 39, 170]}, {\"cell\": \"943 (34.1)\", \"bbox\": [190, 160, 226, 170]}, {\"cell\": \"23.1\", \"bbox\": [259, 160, 275, 170]}, {\"cell\": \"0.94 (0.78–1.14)\", \"bbox\": [372, 160, 428, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education level\", \"bbox\": [4, 180, 57, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [14, 190, 32, 200]}, {\"cell\": \"303 (11.0)\", \"bbox\": [190, 190, 226, 200]}, {\"cell\": \"30.7\", \"bbox\": [259, 190, 275, 200]}, {\"cell\": \"<i>reference</i>\", \"bbox\": [372, 191, 403, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 190, 484, 200]}, {\"cell\": \" medium\", \"bbox\": [14, 201, 43, 211]}, {\"cell\": \"939 (33.9)\", \"bbox\": [190, 201, 226, 211]}, {\"cell\": \"27.4\", \"bbox\": [259, 201, 275, 211]}, {\"cell\": \"0.85 (0.64–1.13)\", \"bbox\": [372, 201, 428, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Low\", \"bbox\": [14, 211, 31, 221]}, {\"cell\": \"1025 (37.0)\", \"bbox\": [190, 211, 230, 221]}, {\"cell\": \"22.5\", \"bbox\": [259, 211, 275, 221]}, {\"cell\": \"0.66 (0.49–0.87)\", \"bbox\": [372, 211, 428, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Illiterate\", \"bbox\": [14, 221, 44, 231]}, {\"cell\": \"500 (18.1)\", \"bbox\": [190, 221, 226, 231]}, {\"cell\": \"15.6\", \"bbox\": [259, 221, 275, 231]}, {\"cell\": \"0.42 (0.29–0.59)\", \"bbox\": [372, 221, 428, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Household income\", \"bbox\": [4, 242, 70, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [14, 252, 32, 262]}, {\"cell\": \"1169 (42.6)\", \"bbox\": [190, 252, 230, 262]}, {\"cell\": \"25.1\", \"bbox\": [259, 252, 275, 262]}, {\"cell\": \"<i>reference</i>\", \"bbox\": [372, 252, 403, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 252, 480, 262]}, {\"cell\": \" Medium\", \"bbox\": [14, 262, 43, 272]}, {\"cell\": \"706 (25.7)\", \"bbox\": [190, 262, 226, 272]}, {\"cell\": \"21.8\", \"bbox\": [259, 262, 275, 272]}, {\"cell\": \"0.83 (0.67–1.04)\", \"bbox\": [372, 262, 428, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Low\", \"bbox\": [14, 273, 31, 282]}, {\"cell\": \"871 (31.7)\", \"bbox\": [190, 273, 226, 282]}, {\"cell\": \"23.0\", \"bbox\": [259, 273, 275, 282]}, {\"cell\": \"0.89 (0.72–1.09)\", \"bbox\": [372, 273, 428, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Family history of stroke\", \"bbox\": [4, 293, 86, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Family history\", \"bbox\": [14, 303, 63, 313]}, {\"cell\": \"470 (17.0)\", \"bbox\": [190, 303, 226, 313]}, {\"cell\": \"77.2\", \"bbox\": [259, 303, 275, 313]}, {\"cell\": \"<i>reference</i>\", \"bbox\": [372, 304, 403, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 303, 480, 313]}, {\"cell\": \" No family history\", \"bbox\": [14, 313, 74, 323]}, {\"cell\": \"2297 (83.0)\", \"bbox\": [190, 313, 230, 323]}, {\"cell\": \"64.3\", \"bbox\": [259, 313, 275, 323]}, {\"cell\": \"0.84 (0.67–1.05)\", \"bbox\": [372, 313, 428, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Knowledge of the definition of stroke\", \"bbox\": [4, 334, 132, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Correct\", \"bbox\": [14, 344, 44, 354]}, {\"cell\": \"1214 (43.9)\", \"bbox\": [190, 344, 230, 354]}, {\"cell\": \"28.7\", \"bbox\": [259, 344, 275, 354]}, {\"cell\": \"<i>reference</i>\", \"bbox\": [372, 345, 403, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 344, 484, 354]}, {\"cell\": \" Incorrect\", \"bbox\": [14, 355, 48, 364]}, {\"cell\": \"1553 (56.1)\", \"bbox\": [190, 355, 230, 364]}, {\"cell\": \"20.0\", \"bbox\": [259, 355, 275, 364]}, {\"cell\": \"0.62 (0.52–0.74)\", \"bbox\": [372, 355, 428, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Preferred medical treatment\", \"bbox\": [4, 375, 102, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Western\", \"bbox\": [14, 385, 46, 395]}, {\"cell\": \"1625 (58.7)\", \"bbox\": [190, 385, 230, 395]}, {\"cell\": \"24.7\", \"bbox\": [259, 385, 275, 395]}, {\"cell\": \"<i>reference</i>\", \"bbox\": [372, 386, 403, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 385, 480, 395]}, {\"cell\": \" Oriental Traditional\", \"bbox\": [14, 396, 83, 405]}, {\"cell\": \"1142 (41.3)\", \"bbox\": [190, 396, 230, 405]}, {\"cell\": \"22.5\", \"bbox\": [259, 396, 275, 405]}, {\"cell\": \"1.13 (0.95–1.35)\", \"bbox\": [372, 396, 428, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1550724_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}169{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\" colspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Hypomagnesemia</b></td></tr><tr><td><b>Grade 0</b></td><td><b>Grade 1<</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>No</td><td>[EMPTY_CELL]</td><td>9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Sex<sup>a)</sup></td><td>Men/Women</td><td>6/3</td><td>[EMPTY_CELL]</td><td>0.316</td></tr><tr><td>Body Hight (cm)<sup>b)</sup></td><td>Mean ± S.D.</td><td>160.5 ± 9.6</td><td>[EMPTY_CELL]</td><td>0.556</td></tr><tr><td>Body Weight (kg)<sup>b)</sup></td><td>Mean ± S.D.</td><td>57.3 ± 7.7</td><td>[EMPTY_CELL]</td><td>0.647</td></tr><tr><td>PS<sup>a)</sup></td><td>0/1or 2</td><td>6/3</td><td>[EMPTY_CELL]</td><td>0.439</td></tr><tr><td>AST (IU/l)<sup>b)</sup></td><td>Mean ± S.D.</td><td>20.1 ± 3.3</td><td>[EMPTY_CELL]</td><td>0.794</td></tr><tr><td>ALT (IU/l)<sup>b)</sup></td><td>Mean ± S.D.</td><td>14.4 ± 7.3</td><td>[EMPTY_CELL]</td><td>0.695</td></tr><tr><td>sCre (mg/dl)<sup>b)</sup></td><td>Mean ± S.D.</td><td>0.65 ± 0.10</td><td>[EMPTY_CELL]</td><td>0.794</td></tr><tr><td>Neu (/mm<sup>3</sup>)<sup>b)</sup></td><td>Mean ± S.D.</td><td>3253 ± 907</td><td>[EMPTY_CELL]</td><td>0.431</td></tr><tr><td>WBC (/mm<sup>3</sup>)<sup>b)</sup></td><td>Mean ± S.D.</td><td>5211 ± 1230</td><td>[EMPTY_CELL]</td><td>0.144</td></tr><tr><td>PLT (/mm<sup>3</sup>)<sup>b)</sup></td><td>Mean ± S.D.</td><td>193,778 ± 43,260</td><td>[EMPTY_CELL]</td><td>0.556</td></tr><tr><td>Hb (g/dl)<sup>b)</sup></td><td>Mean ± S.D.</td><td>11.83 ± 1.67</td><td>[EMPTY_CELL]</td><td>0.948</td></tr><tr><td>Mg (mg/dl)<sup>b)</sup></td><td>Mean ± S.D.</td><td>2.14 ± 0.25</td><td>[EMPTY_CELL]</td><td>0.749</td></tr><tr><td>Ca (mg/dl)<sup>b)</sup></td><td>Mean ± S.D.</td><td>10.00 ± 0.37</td><td>[EMPTY_CELL]</td><td>0.845</td></tr><tr><td rowspan=\\\"4\\\">Combination regimen</td><td>FOLFIRI base</td><td>6</td><td>[EMPTY_CELL]</td><td rowspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>FOLFOX base</td><td>0</td><td>2</td></tr><tr><td>CPT-11 alone</td><td>2</td><td>0</td></tr><tr><td>Monotherapy</td><td>1</td><td>2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Hypomagnesemia</b>\", \"bbox\": [237, 4, 297, 13]}, {\"cell\": \"<b>Grade 0</b>\", \"bbox\": [237, 17, 265, 27]}, {\"cell\": \"<b>Grade 1<</b>\", \"bbox\": [352, 17, 383, 27]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [466, 19, 472, 26]}, {\"cell\": \"No\", \"bbox\": [1, 30, 12, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [237, 30, 243, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 30, 361, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex<sup>a)</sup>\", \"bbox\": [1, 43, 18, 54]}, {\"cell\": \"Men/Women\", \"bbox\": [133, 44, 177, 54]}, {\"cell\": \"6/3\", \"bbox\": [237, 44, 250, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 44, 368, 54]}, {\"cell\": \"0.316\", \"bbox\": [466, 44, 484, 54]}, {\"cell\": \"Body Hight (cm)<sup>b)</sup>\", \"bbox\": [1, 57, 60, 68]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 58, 172, 68]}, {\"cell\": \"160.5 ± 9.6\", \"bbox\": [237, 58, 273, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 58, 387, 68]}, {\"cell\": \"0.556\", \"bbox\": [466, 58, 484, 68]}, {\"cell\": \"Body Weight (kg)<sup>b)</sup>\", \"bbox\": [1, 71, 63, 82]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 72, 172, 82]}, {\"cell\": \"57.3 ± 7.7\", \"bbox\": [237, 72, 269, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 72, 387, 82]}, {\"cell\": \"0.647\", \"bbox\": [466, 72, 484, 82]}, {\"cell\": \"PS<sup>a)</sup>\", \"bbox\": [1, 85, 14, 96]}, {\"cell\": \"0/1or 2\", \"bbox\": [133, 86, 158, 96]}, {\"cell\": \"6/3\", \"bbox\": [237, 86, 250, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 86, 364, 96]}, {\"cell\": \"0.439\", \"bbox\": [466, 86, 484, 96]}, {\"cell\": \"AST (IU/l)<sup>b)</sup>\", \"bbox\": [1, 99, 37, 110]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 100, 172, 110]}, {\"cell\": \"20.1 ± 3.3\", \"bbox\": [237, 100, 269, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 100, 383, 110]}, {\"cell\": \"0.794\", \"bbox\": [466, 100, 484, 110]}, {\"cell\": \"ALT (IU/l)<sup>b)</sup>\", \"bbox\": [1, 113, 37, 124]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 114, 172, 124]}, {\"cell\": \"14.4 ± 7.3\", \"bbox\": [237, 114, 269, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 114, 383, 124]}, {\"cell\": \"0.695\", \"bbox\": [466, 114, 484, 124]}, {\"cell\": \"sCre (mg/dl)<sup>b)</sup>\", \"bbox\": [1, 127, 47, 138]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 128, 172, 138]}, {\"cell\": \"0.65 ± 0.10\", \"bbox\": [237, 128, 273, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 128, 387, 138]}, {\"cell\": \"0.794\", \"bbox\": [466, 128, 484, 138]}, {\"cell\": \"Neu (/mm<sup>3</sup>)<sup>b)</sup>\", \"bbox\": [1, 141, 45, 152]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 142, 172, 152]}, {\"cell\": \"3253 ± 907\", \"bbox\": [237, 142, 274, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 142, 392, 152]}, {\"cell\": \"0.431\", \"bbox\": [466, 142, 484, 152]}, {\"cell\": \"WBC (/mm<sup>3</sup>)<sup>b)</sup>\", \"bbox\": [1, 155, 47, 166]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 156, 172, 166]}, {\"cell\": \"5211 ± 1230\", \"bbox\": [237, 156, 278, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 156, 392, 166]}, {\"cell\": \"0.144\", \"bbox\": [466, 156, 484, 166]}, {\"cell\": \"PLT (/mm<sup>3</sup>)<sup>b)</sup>\", \"bbox\": [1, 169, 44, 180]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 170, 172, 180]}, {\"cell\": \"193,778 ± 43,260\", \"bbox\": [237, 170, 292, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 170, 406, 180]}, {\"cell\": \"0.556\", \"bbox\": [466, 170, 484, 180]}, {\"cell\": \"Hb (g/dl)<sup>b)</sup>\", \"bbox\": [1, 183, 36, 194]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 184, 172, 194]}, {\"cell\": \"11.83 ± 1.67\", \"bbox\": [237, 184, 277, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 184, 391, 194]}, {\"cell\": \"0.948\", \"bbox\": [466, 184, 484, 194]}, {\"cell\": \"Mg (mg/dl)<sup>b)</sup>\", \"bbox\": [1, 197, 44, 208]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 198, 172, 208]}, {\"cell\": \"2.14 ± 0.25\", \"bbox\": [237, 198, 273, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 198, 387, 208]}, {\"cell\": \"0.749\", \"bbox\": [466, 198, 484, 208]}, {\"cell\": \"Ca (mg/dl)<sup>b)</sup>\", \"bbox\": [1, 211, 41, 222]}, {\"cell\": \"Mean ± S.D.\", \"bbox\": [133, 212, 172, 222]}, {\"cell\": \"10.00 ± 0.37\", \"bbox\": [237, 212, 277, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 212, 387, 222]}, {\"cell\": \"0.845\", \"bbox\": [466, 212, 484, 222]}, {\"cell\": \"Combination regimen\", \"bbox\": [1, 226, 73, 236]}, {\"cell\": \"FOLFIRI base\", \"bbox\": [133, 226, 175, 236]}, {\"cell\": \"6\", \"bbox\": [237, 226, 243, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 226, 357, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FOLFOX base\", \"bbox\": [133, 240, 178, 250]}, {\"cell\": \"0\", \"bbox\": [237, 240, 243, 250]}, {\"cell\": \"2\", \"bbox\": [352, 240, 357, 250]}, {\"cell\": \"CPT-11 alone\", \"bbox\": [133, 254, 177, 264]}, {\"cell\": \"2\", \"bbox\": [237, 254, 243, 264]}, {\"cell\": \"0\", \"bbox\": [352, 254, 357, 264]}, {\"cell\": \"Monotherapy\", \"bbox\": [133, 268, 178, 278]}, {\"cell\": \"1\", \"bbox\": [237, 268, 243, 278]}, {\"cell\": \"2\", \"bbox\": [352, 268, 357, 278]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5034421_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}170{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics (<i>N</i>)</b></td><td><b>Type</b></td><td><b>No. of patients (%)</b></td></tr></thead><tbody><tr><td rowspan=\\\"4\\\">Tumor Histology (<i>N</i> = 111)</td><td>Ductual or lobular carcinoma in situ</td><td>[EMPTY_CELL]</td></tr><tr><td>Invasive ductal carcinoma (IDC)</td><td>98 (88.3)</td></tr><tr><td>Invasive lobular carcinoma (ILC)</td><td>5 (4.5)</td></tr><tr><td>Mixed IDC and ILC</td><td>3 (2.7)</td></tr><tr><td rowspan=\\\"3\\\">Tumor Grade (<i>N</i> = 104)</td><td>1 (well differentiated)</td><td>[EMPTY_CELL]</td></tr><tr><td>2 (moderately differentiated)</td><td>57 (54.8)</td></tr><tr><td>3 (poorly differentiated)</td><td>32 (30.8)</td></tr><tr><td rowspan=\\\"4\\\">T stage (<i>N</i> = 102)</td><td>T0</td><td>[EMPTY_CELL]</td></tr><tr><td>T1</td><td>33 (32.4)</td></tr><tr><td>T2</td><td>27 (26.5)</td></tr><tr><td>T3</td><td>10 (9.8)</td></tr><tr><td rowspan=\\\"4\\\">N stage (<i>N</i> = 101)</td><td>N0</td><td>[EMPTY_CELL]</td></tr><tr><td>N1</td><td>32 (31.7)</td></tr><tr><td>N2</td><td>4 (4.0)</td></tr><tr><td>N3</td><td>3 (3.0)</td></tr><tr><td rowspan=\\\"5\\\">Overall stage (<i>N</i> = 104)</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>IA, IB, IIA</td><td>42 (40.4)</td></tr><tr><td>IIB</td><td>14 (13.5)</td></tr><tr><td>IIIA, IIIB, IIIC</td><td>13 (12.5)</td></tr><tr><td>IV</td><td>2 (1.9)</td></tr><tr><td rowspan=\\\"4\\\">Breast cancer subtype (<i>N</i> = 107)</td><td>HR + /HER2−</td><td>[EMPTY_CELL]</td></tr><tr><td>HR + /HER2+</td><td>15 (14.0)</td></tr><tr><td>HR-/HER2+</td><td>15 (14.0)</td></tr><tr><td>HR-/HER2−</td><td>21 (19.6)</td></tr><tr><td rowspan=\\\"3\\\">Disease recurrence (<i>N</i> = 114)</td><td>No recurrence</td><td>[EMPTY_CELL]</td></tr><tr><td>Recur</td><td>23 (20.2)</td></tr><tr><td>Never disease free</td><td>10 (8.8)</td></tr><tr><td rowspan=\\\"3\\\">Recurrence site (<i>N</i> = 72)</td><td>No recurrence</td><td>[EMPTY_CELL]</td></tr><tr><td>Local recurrence</td><td>1 (1.4)</td></tr><tr><td>Distant recurrence</td><td>10 (14.9)</td></tr><tr><td rowspan=\\\"2\\\">Recurrence free in 1 year (<i>N</i> = 85)</td><td>Recurrence free</td><td>[EMPTY_CELL]</td></tr><tr><td>Not Recurrence free</td><td>10 (11.8)</td></tr><tr><td rowspan=\\\"2\\\">Recurrence free in 2 years (<i>N</i> = 85)</td><td>Recurrence free</td><td>[EMPTY_CELL]</td></tr><tr><td>Not Recurrence free</td><td>17 (20.0)</td></tr><tr><td rowspan=\\\"2\\\">Recurrence free in 3 years (<i>N</i> = 85)</td><td>Recurrence free</td><td>[EMPTY_CELL]</td></tr><tr><td>Not Recurrence free</td><td>18 (21.2)</td></tr><tr><td rowspan=\\\"2\\\">Recurrence free in 4 years (<i>N</i> = 85)</td><td>Recurrence free</td><td>[EMPTY_CELL]</td></tr><tr><td>Not Recurrence free</td><td>20 (23.5)</td></tr><tr><td rowspan=\\\"2\\\">Recurrence free in 5 years (<i>N</i> = 85)</td><td>Recurrence free</td><td>[EMPTY_CELL]</td></tr><tr><td>Not Recurrence free</td><td>25 (29.4)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics (<i>N</i>)</b>\", \"bbox\": [1, 7, 53, 15]}, {\"cell\": \"<b>Type</b>\", \"bbox\": [103, 7, 118, 15]}, {\"cell\": \"<b>No. of patients (%)</b>\", \"bbox\": [209, 7, 244, 22]}, {\"cell\": \"Tumor Histology (<i>N</i> = 111)\", \"bbox\": [1, 29, 76, 37]}, {\"cell\": \"Ductual or lobular carcinoma in situ\", \"bbox\": [103, 29, 205, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 29, 228, 37]}, {\"cell\": \"Invasive ductal carcinoma (IDC)\", \"bbox\": [103, 39, 193, 47]}, {\"cell\": \"98 (88.3)\", \"bbox\": [209, 39, 235, 47]}, {\"cell\": \"Invasive lobular carcinoma (ILC)\", \"bbox\": [103, 49, 194, 57]}, {\"cell\": \"5 (4.5)\", \"bbox\": [209, 49, 228, 57]}, {\"cell\": \"Mixed IDC and ILC\", \"bbox\": [103, 59, 157, 67]}, {\"cell\": \"3 (2.7)\", \"bbox\": [209, 59, 228, 67]}, {\"cell\": \"Tumor Grade (<i>N</i> = 104)\", \"bbox\": [1, 69, 67, 77]}, {\"cell\": \"1 (well differentiated)\", \"bbox\": [103, 69, 165, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 69, 235, 77]}, {\"cell\": \"2 (moderately differentiated)\", \"bbox\": [103, 78, 185, 87]}, {\"cell\": \"57 (54.8)\", \"bbox\": [209, 78, 235, 87]}, {\"cell\": \"3 (poorly differentiated)\", \"bbox\": [103, 88, 172, 97]}, {\"cell\": \"32 (30.8)\", \"bbox\": [209, 88, 235, 97]}, {\"cell\": \"T stage (<i>N</i> = 102)\", \"bbox\": [1, 98, 50, 107]}, {\"cell\": \"T0\", \"bbox\": [103, 98, 111, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 98, 235, 107]}, {\"cell\": \"T1\", \"bbox\": [103, 108, 111, 116]}, {\"cell\": \"33 (32.4)\", \"bbox\": [209, 108, 235, 116]}, {\"cell\": \"T2\", \"bbox\": [103, 118, 111, 126]}, {\"cell\": \"27 (26.5)\", \"bbox\": [209, 118, 235, 126]}, {\"cell\": \"T3\", \"bbox\": [103, 128, 111, 136]}, {\"cell\": \"10 (9.8)\", \"bbox\": [209, 128, 231, 136]}, {\"cell\": \"N stage (<i>N</i> = 101)\", \"bbox\": [1, 138, 51, 146]}, {\"cell\": \"N0\", \"bbox\": [103, 138, 112, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 138, 235, 146]}, {\"cell\": \"N1\", \"bbox\": [103, 148, 112, 156]}, {\"cell\": \"32 (31.7)\", \"bbox\": [209, 148, 235, 156]}, {\"cell\": \"N2\", \"bbox\": [103, 158, 112, 166]}, {\"cell\": \"4 (4.0)\", \"bbox\": [209, 158, 228, 166]}, {\"cell\": \"N3\", \"bbox\": [103, 168, 112, 176]}, {\"cell\": \"3 (3.0)\", \"bbox\": [209, 168, 228, 176]}, {\"cell\": \"Overall stage (<i>N</i> = 104)\", \"bbox\": [1, 178, 67, 186]}, {\"cell\": \"0\", \"bbox\": [103, 178, 108, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 178, 235, 186]}, {\"cell\": \"IA, IB, IIA\", \"bbox\": [103, 188, 130, 196]}, {\"cell\": \"42 (40.4)\", \"bbox\": [209, 188, 235, 196]}, {\"cell\": \"IIB\", \"bbox\": [103, 198, 111, 206]}, {\"cell\": \"14 (13.5)\", \"bbox\": [209, 198, 235, 206]}, {\"cell\": \"IIIA, IIIB, IIIC\", \"bbox\": [103, 208, 137, 216]}, {\"cell\": \"13 (12.5)\", \"bbox\": [209, 208, 235, 216]}, {\"cell\": \"IV\", \"bbox\": [103, 218, 110, 226]}, {\"cell\": \"2 (1.9)\", \"bbox\": [209, 218, 228, 226]}, {\"cell\": \"Breast cancer subtype (<i>N</i> = 107)\", \"bbox\": [1, 228, 92, 236]}, {\"cell\": \"HR + /HER2−\", \"bbox\": [103, 228, 142, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 228, 235, 236]}, {\"cell\": \"HR + /HER2+\", \"bbox\": [103, 238, 142, 246]}, {\"cell\": \"15 (14.0)\", \"bbox\": [209, 238, 235, 246]}, {\"cell\": \"HR-/HER2+\", \"bbox\": [103, 248, 136, 256]}, {\"cell\": \"15 (14.0)\", \"bbox\": [209, 248, 235, 256]}, {\"cell\": \"HR-/HER2−\", \"bbox\": [103, 258, 136, 266]}, {\"cell\": \"21 (19.6)\", \"bbox\": [209, 258, 235, 266]}, {\"cell\": \"Disease recurrence (<i>N</i> = 114)\", \"bbox\": [1, 268, 83, 276]}, {\"cell\": \"No recurrence\", \"bbox\": [103, 268, 144, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 268, 235, 276]}, {\"cell\": \"Recur\", \"bbox\": [103, 278, 120, 286]}, {\"cell\": \"23 (20.2)\", \"bbox\": [209, 278, 235, 286]}, {\"cell\": \"Never disease free\", \"bbox\": [103, 288, 156, 296]}, {\"cell\": \"10 (8.8)\", \"bbox\": [209, 288, 231, 296]}, {\"cell\": \"Recurrence site (<i>N</i> = 72)\", \"bbox\": [1, 298, 69, 306]}, {\"cell\": \"No recurrence\", \"bbox\": [103, 298, 144, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 298, 235, 306]}, {\"cell\": \"Local recurrence\", \"bbox\": [103, 308, 151, 316]}, {\"cell\": \"1 (1.4)\", \"bbox\": [209, 308, 228, 316]}, {\"cell\": \"Distant recurrence\", \"bbox\": [103, 318, 156, 326]}, {\"cell\": \"10 (14.9)\", \"bbox\": [209, 318, 235, 326]}, {\"cell\": \"Recurrence free in 1 year (<i>N</i> = 85)\", \"bbox\": [1, 328, 97, 336]}, {\"cell\": \"Recurrence free\", \"bbox\": [103, 328, 149, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 328, 235, 336]}, {\"cell\": \"Not Recurrence free\", \"bbox\": [103, 338, 161, 346]}, {\"cell\": \"10 (11.8)\", \"bbox\": [209, 338, 235, 346]}, {\"cell\": \"Recurrence free in 2 years (<i>N</i> = 85)\", \"bbox\": [1, 347, 99, 356]}, {\"cell\": \"Recurrence free\", \"bbox\": [103, 347, 149, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 347, 235, 356]}, {\"cell\": \"Not Recurrence free\", \"bbox\": [103, 357, 161, 366]}, {\"cell\": \"17 (20.0)\", \"bbox\": [209, 357, 235, 366]}, {\"cell\": \"Recurrence free in 3 years (<i>N</i> = 85)\", \"bbox\": [1, 367, 99, 375]}, {\"cell\": \"Recurrence free\", \"bbox\": [103, 367, 149, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 367, 235, 375]}, {\"cell\": \"Not Recurrence free\", \"bbox\": [103, 377, 161, 385]}, {\"cell\": \"18 (21.2)\", \"bbox\": [209, 377, 235, 385]}, {\"cell\": \"Recurrence free in 4 years (<i>N</i> = 85)\", \"bbox\": [1, 387, 99, 395]}, {\"cell\": \"Recurrence free\", \"bbox\": [103, 387, 149, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 387, 235, 395]}, {\"cell\": \"Not Recurrence free\", \"bbox\": [103, 397, 161, 405]}, {\"cell\": \"20 (23.5)\", \"bbox\": [209, 397, 235, 405]}, {\"cell\": \"Recurrence free in 5 years (<i>N</i> = 85)\", \"bbox\": [1, 407, 99, 415]}, {\"cell\": \"Recurrence free\", \"bbox\": [103, 407, 149, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 407, 235, 415]}, {\"cell\": \"Not Recurrence free\", \"bbox\": [103, 417, 161, 425]}, {\"cell\": \"25 (29.4)\", \"bbox\": [209, 417, 235, 425]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6095872_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}171{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Patient</b></td><td><b>Age</b></td><td><b>Sex</b></td><td><b>Diagnosis</b></td><td><b>Sample type</b></td></tr></thead><tbody><tr><td>1</td><td>67</td><td>[EMPTY_CELL]</td><td>Healthy</td><td>Transplant</td></tr><tr><td>2</td><td>47</td><td>[EMPTY_CELL]</td><td>Healthy</td><td>Transplant</td></tr><tr><td>3</td><td>22</td><td>[EMPTY_CELL]</td><td>Healthy</td><td>Biopsy</td></tr><tr><td>4</td><td>64</td><td>[EMPTY_CELL]</td><td>ILD</td><td>Transplant</td></tr><tr><td>5</td><td>76</td><td>[EMPTY_CELL]</td><td>Pulmonary cryptococcosis</td><td>Resection</td></tr><tr><td>6</td><td>61</td><td>[EMPTY_CELL]</td><td>Pulmonary hypertension</td><td>Transplant</td></tr><tr><td>7</td><td>41</td><td>[EMPTY_CELL]</td><td>Adenocarcinoma</td><td>Resection</td></tr><tr><td>8</td><td>29</td><td>[EMPTY_CELL]</td><td>Healthy</td><td>Biopsy</td></tr><tr><td>9</td><td>16</td><td>[EMPTY_CELL]</td><td>Healthy</td><td>Transplant</td></tr><tr><td>10</td><td>65</td><td>[EMPTY_CELL]</td><td>Cancer</td><td>Resection</td></tr><tr><td>11</td><td>27</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>12</td><td>54</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>13</td><td>23</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>14</td><td>58</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>15</td><td>21</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>16</td><td>38</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>17</td><td>61</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>18</td><td>85</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>19</td><td>51</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>20</td><td>63</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>21</td><td>59</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>22</td><td>64</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>23</td><td>NA</td><td>[EMPTY_CELL]</td><td>Healthy</td><td>Transplant</td></tr><tr><td>24</td><td>52</td><td>[EMPTY_CELL]</td><td>Cancer</td><td>Resection</td></tr><tr><td>25</td><td>22</td><td>[EMPTY_CELL]</td><td>Healthy</td><td>Biopsy</td></tr><tr><td>26</td><td>60</td><td>[EMPTY_CELL]</td><td>Cancer</td><td>Resection</td></tr><tr><td>27</td><td>27</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>28</td><td>33</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr><tr><td>29</td><td>50</td><td>[EMPTY_CELL]</td><td>Asthmatic</td><td>Biopsy</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Patient</b>\", \"bbox\": [4, 5, 30, 14]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [40, 5, 55, 14]}, {\"cell\": \"<b>Sex</b>\", \"bbox\": [65, 5, 79, 14]}, {\"cell\": \"<b>Diagnosis</b>\", \"bbox\": [101, 5, 135, 14]}, {\"cell\": \"<b>Sample type</b>\", \"bbox\": [198, 5, 242, 14]}, {\"cell\": \"1\", \"bbox\": [8, 19, 15, 28]}, {\"cell\": \"67\", \"bbox\": [40, 19, 51, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 19, 83, 28]}, {\"cell\": \"Healthy\", \"bbox\": [101, 19, 128, 28]}, {\"cell\": \"Transplant\", \"bbox\": [198, 19, 235, 28]}, {\"cell\": \"2\", \"bbox\": [8, 33, 15, 42]}, {\"cell\": \"47\", \"bbox\": [40, 33, 51, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 33, 83, 42]}, {\"cell\": \"Healthy\", \"bbox\": [101, 33, 128, 42]}, {\"cell\": \"Transplant\", \"bbox\": [198, 33, 235, 42]}, {\"cell\": \"3\", \"bbox\": [8, 47, 15, 56]}, {\"cell\": \"22\", \"bbox\": [40, 47, 51, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 47, 91, 56]}, {\"cell\": \"Healthy\", \"bbox\": [101, 47, 128, 56]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 47, 222, 56]}, {\"cell\": \"4\", \"bbox\": [8, 61, 15, 69]}, {\"cell\": \"64\", \"bbox\": [40, 61, 51, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 61, 83, 69]}, {\"cell\": \"ILD\", \"bbox\": [101, 61, 114, 69]}, {\"cell\": \"Transplant\", \"bbox\": [198, 61, 235, 69]}, {\"cell\": \"5\", \"bbox\": [8, 74, 15, 83]}, {\"cell\": \"76\", \"bbox\": [40, 74, 51, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 74, 83, 83]}, {\"cell\": \"Pulmonary cryptococcosis\", \"bbox\": [101, 74, 188, 83]}, {\"cell\": \"Resection\", \"bbox\": [198, 74, 232, 83]}, {\"cell\": \"6\", \"bbox\": [8, 88, 15, 97]}, {\"cell\": \"61\", \"bbox\": [40, 88, 51, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 88, 91, 97]}, {\"cell\": \"Pulmonary hypertension\", \"bbox\": [101, 88, 183, 97]}, {\"cell\": \"Transplant\", \"bbox\": [198, 88, 235, 97]}, {\"cell\": \"7\", \"bbox\": [8, 102, 15, 111]}, {\"cell\": \"41\", \"bbox\": [40, 102, 51, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 102, 91, 111]}, {\"cell\": \"Adenocarcinoma\", \"bbox\": [101, 102, 157, 111]}, {\"cell\": \"Resection\", \"bbox\": [198, 102, 232, 111]}, {\"cell\": \"8\", \"bbox\": [8, 116, 15, 125]}, {\"cell\": \"29\", \"bbox\": [40, 116, 51, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 116, 83, 125]}, {\"cell\": \"Healthy\", \"bbox\": [101, 116, 128, 125]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 116, 222, 125]}, {\"cell\": \"9\", \"bbox\": [8, 130, 15, 139]}, {\"cell\": \"16\", \"bbox\": [40, 130, 51, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 130, 83, 139]}, {\"cell\": \"Healthy\", \"bbox\": [101, 130, 128, 139]}, {\"cell\": \"Transplant\", \"bbox\": [198, 130, 235, 139]}, {\"cell\": \"10\", \"bbox\": [4, 144, 15, 152]}, {\"cell\": \"65\", \"bbox\": [40, 144, 51, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 144, 83, 152]}, {\"cell\": \"Cancer\", \"bbox\": [101, 144, 126, 152]}, {\"cell\": \"Resection\", \"bbox\": [198, 144, 232, 152]}, {\"cell\": \"11\", \"bbox\": [4, 158, 15, 166]}, {\"cell\": \"27\", \"bbox\": [40, 158, 51, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 158, 91, 166]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 158, 135, 166]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 158, 222, 166]}, {\"cell\": \"12\", \"bbox\": [4, 171, 15, 180]}, {\"cell\": \"54\", \"bbox\": [40, 171, 51, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 171, 83, 180]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 171, 135, 180]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 171, 222, 180]}, {\"cell\": \"13\", \"bbox\": [4, 185, 15, 194]}, {\"cell\": \"23\", \"bbox\": [40, 185, 51, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 185, 83, 194]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 185, 135, 194]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 185, 222, 194]}, {\"cell\": \"14\", \"bbox\": [4, 199, 15, 208]}, {\"cell\": \"58\", \"bbox\": [40, 199, 51, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 199, 83, 208]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 199, 135, 208]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 199, 222, 208]}, {\"cell\": \"15\", \"bbox\": [4, 213, 15, 222]}, {\"cell\": \"21\", \"bbox\": [40, 213, 51, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 213, 83, 222]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 213, 135, 222]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 213, 222, 222]}, {\"cell\": \"16\", \"bbox\": [4, 227, 15, 235]}, {\"cell\": \"38\", \"bbox\": [40, 227, 51, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 227, 83, 235]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 227, 135, 235]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 227, 222, 235]}, {\"cell\": \"17\", \"bbox\": [4, 241, 15, 249]}, {\"cell\": \"61\", \"bbox\": [40, 241, 51, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 241, 91, 249]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 241, 135, 249]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 241, 222, 249]}, {\"cell\": \"18\", \"bbox\": [4, 254, 15, 263]}, {\"cell\": \"85\", \"bbox\": [40, 254, 51, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 254, 83, 263]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 254, 135, 263]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 254, 222, 263]}, {\"cell\": \"19\", \"bbox\": [4, 268, 15, 277]}, {\"cell\": \"51\", \"bbox\": [40, 268, 51, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 268, 83, 277]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 268, 135, 277]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 268, 222, 277]}, {\"cell\": \"20\", \"bbox\": [4, 282, 15, 291]}, {\"cell\": \"63\", \"bbox\": [40, 282, 51, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 282, 83, 291]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 282, 135, 291]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 282, 222, 291]}, {\"cell\": \"21\", \"bbox\": [4, 296, 15, 305]}, {\"cell\": \"59\", \"bbox\": [40, 296, 51, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 296, 91, 305]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 296, 135, 305]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 296, 222, 305]}, {\"cell\": \"22\", \"bbox\": [4, 310, 15, 319]}, {\"cell\": \"64\", \"bbox\": [40, 310, 51, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 310, 83, 319]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 310, 135, 319]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 310, 222, 319]}, {\"cell\": \"23\", \"bbox\": [4, 324, 15, 332]}, {\"cell\": \"NA\", \"bbox\": [40, 324, 53, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 324, 78, 332]}, {\"cell\": \"Healthy\", \"bbox\": [101, 324, 128, 332]}, {\"cell\": \"Transplant\", \"bbox\": [198, 324, 235, 332]}, {\"cell\": \"24\", \"bbox\": [4, 337, 15, 346]}, {\"cell\": \"52\", \"bbox\": [40, 337, 51, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 337, 83, 346]}, {\"cell\": \"Cancer\", \"bbox\": [101, 337, 126, 346]}, {\"cell\": \"Resection\", \"bbox\": [198, 337, 232, 346]}, {\"cell\": \"25\", \"bbox\": [4, 351, 15, 360]}, {\"cell\": \"22\", \"bbox\": [40, 351, 51, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 351, 83, 360]}, {\"cell\": \"Healthy\", \"bbox\": [101, 351, 128, 360]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 351, 222, 360]}, {\"cell\": \"26\", \"bbox\": [4, 365, 15, 374]}, {\"cell\": \"60\", \"bbox\": [40, 365, 51, 374]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 365, 91, 374]}, {\"cell\": \"Cancer\", \"bbox\": [101, 365, 126, 374]}, {\"cell\": \"Resection\", \"bbox\": [198, 365, 232, 374]}, {\"cell\": \"27\", \"bbox\": [4, 379, 15, 388]}, {\"cell\": \"27\", \"bbox\": [40, 379, 51, 388]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 379, 83, 388]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 379, 135, 388]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 379, 222, 388]}, {\"cell\": \"28\", \"bbox\": [4, 393, 15, 402]}, {\"cell\": \"33\", \"bbox\": [40, 393, 51, 402]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 393, 83, 402]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 393, 135, 402]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 393, 222, 402]}, {\"cell\": \"29\", \"bbox\": [4, 407, 15, 416]}, {\"cell\": \"50\", \"bbox\": [40, 407, 51, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [65, 407, 83, 416]}, {\"cell\": \"Asthmatic\", \"bbox\": [101, 407, 135, 416]}, {\"cell\": \"Biopsy\", \"bbox\": [198, 407, 222, 416]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5908101_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}172{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Characteristics</b></td><td colspan=\\\"2\\\"><b>First-line</b></td><td colspan=\\\"2\\\"><b>Second-line</b></td><td><b>All patients</b></td><td><b>(%)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>No</b></td><td><b>(%)</b></td><td><b>No</b></td><td><b>(%)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Sex</td><td>Male</td><td>12</td><td>(100)</td><td>20</td><td>(100)</td><td>[EMPTY_CELL]</td><td>(100)</td></tr><tr><td>[EMPTY_CELL]</td><td>Female</td><td>0</td><td>(0)</td><td>0</td><td>(0)</td><td>[EMPTY_CELL]</td><td>(0.0)</td></tr><tr><td>Age, median</td><td>[EMPTY_CELL]</td><td>58</td><td>(45-70)</td><td>66</td><td>(54-76)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>ECOG PS</td><td>0</td><td>3</td><td>(25)</td><td>6</td><td>(30)</td><td>[EMPTY_CELL]</td><td>(28.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>9</td><td>(75)</td><td>13</td><td>(65)</td><td>[EMPTY_CELL]</td><td>(68.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>0</td><td>(0)</td><td>1</td><td>(5)</td><td>[EMPTY_CELL]</td><td>(3.1)</td></tr><tr><td>Histology</td><td>Squamous</td><td>12</td><td>(100)</td><td>20</td><td>(100)</td><td>[EMPTY_CELL]</td><td>(100)</td></tr><tr><td>Smoking history</td><td>Never</td><td>0</td><td>(0)</td><td>2</td><td>(10)</td><td>[EMPTY_CELL]</td><td>(6.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>Ever</td><td>12</td><td>(100)</td><td>18</td><td>(90)</td><td>[EMPTY_CELL]</td><td>(93.7)</td></tr><tr><td>Prior therapy</td><td>None</td><td>6</td><td>(50)</td><td>N/A</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Surgery</td><td>6</td><td>(50)</td><td>4</td><td>(20)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Radiation</td><td>0</td><td>(0)</td><td>2</td><td>(10)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Chemotherapy</td><td>N/A</td><td>[EMPTY_CELL]</td><td>20</td><td>(100)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No.of metastatic sites</td><td>1</td><td>3</td><td>(25.0)</td><td>5</td><td>(25)</td><td>[EMPTY_CELL]</td><td>(25.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>3</td><td>(25.0)</td><td>10</td><td>(50)</td><td>[EMPTY_CELL]</td><td>(40.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>1</td><td>(8.3)</td><td>4</td><td>(20)</td><td>[EMPTY_CELL]</td><td>(15.6)</td></tr><tr><td>Locoregional</td><td>[EMPTY_CELL]</td><td>5</td><td>(41.7)</td><td>1</td><td>(5)</td><td>[EMPTY_CELL]</td><td>(18.8)</td></tr><tr><td>Metastatic</td><td>[EMPTY_CELL]</td><td>7</td><td>(58.3)</td><td>19</td><td>(95)</td><td>[EMPTY_CELL]</td><td>(81.3)</td></tr><tr><td>Liver</td><td>[EMPTY_CELL]</td><td>3</td><td>(25.0)</td><td>13</td><td>(65)</td><td>[EMPTY_CELL]</td><td>(50.0)</td></tr><tr><td>Lung</td><td>[EMPTY_CELL]</td><td>7</td><td>(58.3)</td><td>19</td><td>(95)</td><td>[EMPTY_CELL]</td><td>(81.3)</td></tr><tr><td>Bone</td><td>[EMPTY_CELL]</td><td>2</td><td>(16.7)</td><td>5</td><td>(25)</td><td>[EMPTY_CELL]</td><td>(21.9)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [61, 4, 113, 13]}, {\"cell\": \"<b>First-line</b>\", \"bbox\": [178, 4, 210, 13]}, {\"cell\": \"<b>Second-line</b>\", \"bbox\": [274, 4, 316, 13]}, {\"cell\": \"<b>All patients</b>\", \"bbox\": [370, 4, 412, 13]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [441, 4, 454, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No</b>\", \"bbox\": [178, 17, 190, 26]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [221, 17, 235, 26]}, {\"cell\": \"<b>No</b>\", \"bbox\": [274, 17, 286, 26]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [317, 17, 331, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex\", \"bbox\": [1, 30, 13, 40]}, {\"cell\": \"Male\", \"bbox\": [100, 30, 117, 40]}, {\"cell\": \"12\", \"bbox\": [178, 30, 188, 40]}, {\"cell\": \"(100)\", \"bbox\": [221, 30, 239, 40]}, {\"cell\": \"20\", \"bbox\": [274, 30, 284, 40]}, {\"cell\": \"(100)\", \"bbox\": [317, 30, 335, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 30, 380, 40]}, {\"cell\": \"(100)\", \"bbox\": [441, 30, 458, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [100, 42, 125, 52]}, {\"cell\": \"0\", \"bbox\": [178, 42, 184, 52]}, {\"cell\": \"(0)\", \"bbox\": [221, 42, 231, 52]}, {\"cell\": \"0\", \"bbox\": [274, 42, 280, 52]}, {\"cell\": \"(0)\", \"bbox\": [317, 42, 327, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 42, 376, 52]}, {\"cell\": \"(0.0)\", \"bbox\": [441, 42, 456, 52]}, {\"cell\": \"Age, median\", \"bbox\": [1, 54, 43, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"58\", \"bbox\": [178, 54, 188, 64]}, {\"cell\": \"(45-70)\", \"bbox\": [221, 54, 245, 64]}, {\"cell\": \"66\", \"bbox\": [274, 54, 284, 64]}, {\"cell\": \"(54-76)\", \"bbox\": [317, 54, 341, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 54, 409, 64]}, {\"cell\": \"ECOG PS\", \"bbox\": [1, 66, 31, 76]}, {\"cell\": \"0\", \"bbox\": [100, 66, 106, 76]}, {\"cell\": \"3\", \"bbox\": [178, 66, 184, 76]}, {\"cell\": \"(25)\", \"bbox\": [221, 66, 235, 76]}, {\"cell\": \"6\", \"bbox\": [274, 66, 280, 76]}, {\"cell\": \"(30)\", \"bbox\": [317, 66, 331, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 66, 376, 76]}, {\"cell\": \"(28.1)\", \"bbox\": [441, 66, 459, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [100, 78, 106, 88]}, {\"cell\": \"9\", \"bbox\": [178, 78, 184, 88]}, {\"cell\": \"(75)\", \"bbox\": [221, 78, 235, 88]}, {\"cell\": \"13\", \"bbox\": [274, 78, 284, 88]}, {\"cell\": \"(65)\", \"bbox\": [317, 78, 331, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 78, 380, 88]}, {\"cell\": \"(68.8)\", \"bbox\": [441, 78, 459, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [100, 90, 106, 100]}, {\"cell\": \"0\", \"bbox\": [178, 90, 184, 100]}, {\"cell\": \"(0)\", \"bbox\": [221, 90, 231, 100]}, {\"cell\": \"1\", \"bbox\": [274, 90, 280, 100]}, {\"cell\": \"(5)\", \"bbox\": [317, 90, 327, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 90, 376, 100]}, {\"cell\": \"(3.1)\", \"bbox\": [441, 90, 456, 100]}, {\"cell\": \"Histology\", \"bbox\": [1, 102, 32, 112]}, {\"cell\": \"Squamous\", \"bbox\": [100, 102, 135, 112]}, {\"cell\": \"12\", \"bbox\": [178, 102, 188, 112]}, {\"cell\": \"(100)\", \"bbox\": [221, 102, 239, 112]}, {\"cell\": \"20\", \"bbox\": [274, 102, 284, 112]}, {\"cell\": \"(100)\", \"bbox\": [317, 102, 335, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 102, 380, 112]}, {\"cell\": \"(100)\", \"bbox\": [441, 102, 458, 112]}, {\"cell\": \"Smoking history\", \"bbox\": [1, 114, 54, 124]}, {\"cell\": \"Never\", \"bbox\": [100, 114, 120, 124]}, {\"cell\": \"0\", \"bbox\": [178, 114, 184, 124]}, {\"cell\": \"(0)\", \"bbox\": [221, 114, 231, 124]}, {\"cell\": \"2\", \"bbox\": [274, 114, 280, 124]}, {\"cell\": \"(10)\", \"bbox\": [317, 114, 331, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 114, 376, 124]}, {\"cell\": \"(6.3)\", \"bbox\": [441, 114, 456, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ever\", \"bbox\": [100, 126, 115, 136]}, {\"cell\": \"12\", \"bbox\": [178, 126, 188, 136]}, {\"cell\": \"(100)\", \"bbox\": [221, 126, 239, 136]}, {\"cell\": \"18\", \"bbox\": [274, 126, 284, 136]}, {\"cell\": \"(90)\", \"bbox\": [317, 126, 331, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 126, 380, 136]}, {\"cell\": \"(93.7)\", \"bbox\": [441, 126, 459, 136]}, {\"cell\": \"Prior therapy\", \"bbox\": [1, 138, 44, 147]}, {\"cell\": \"None\", \"bbox\": [100, 138, 119, 147]}, {\"cell\": \"6\", \"bbox\": [178, 138, 184, 147]}, {\"cell\": \"(50)\", \"bbox\": [221, 138, 235, 147]}, {\"cell\": \"N/A\", \"bbox\": [274, 138, 289, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 138, 376, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Surgery\", \"bbox\": [100, 150, 126, 159]}, {\"cell\": \"6\", \"bbox\": [178, 150, 184, 159]}, {\"cell\": \"(50)\", \"bbox\": [221, 150, 235, 159]}, {\"cell\": \"4\", \"bbox\": [274, 150, 280, 159]}, {\"cell\": \"(20)\", \"bbox\": [317, 150, 331, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 150, 380, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Radiation\", \"bbox\": [100, 162, 132, 171]}, {\"cell\": \"0\", \"bbox\": [178, 162, 184, 171]}, {\"cell\": \"(0)\", \"bbox\": [221, 162, 231, 171]}, {\"cell\": \"2\", \"bbox\": [274, 162, 280, 171]}, {\"cell\": \"(10)\", \"bbox\": [317, 162, 331, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 162, 376, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chemotherapy\", \"bbox\": [100, 174, 149, 183]}, {\"cell\": \"N/A\", \"bbox\": [178, 174, 193, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [274, 174, 284, 183]}, {\"cell\": \"(100)\", \"bbox\": [317, 174, 335, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 174, 380, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No.of metastatic sites\", \"bbox\": [1, 186, 71, 195]}, {\"cell\": \"1\", \"bbox\": [100, 186, 106, 195]}, {\"cell\": \"3\", \"bbox\": [178, 186, 184, 195]}, {\"cell\": \"(25.0)\", \"bbox\": [221, 186, 240, 195]}, {\"cell\": \"5\", \"bbox\": [274, 186, 280, 195]}, {\"cell\": \"(25)\", \"bbox\": [317, 186, 331, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 186, 376, 195]}, {\"cell\": \"(25.0)\", \"bbox\": [441, 186, 460, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [100, 198, 106, 207]}, {\"cell\": \"3\", \"bbox\": [178, 198, 184, 207]}, {\"cell\": \"(25.0)\", \"bbox\": [221, 198, 240, 207]}, {\"cell\": \"10\", \"bbox\": [274, 198, 284, 207]}, {\"cell\": \"(50)\", \"bbox\": [317, 198, 331, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 198, 380, 207]}, {\"cell\": \"(40.6)\", \"bbox\": [441, 198, 460, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [100, 210, 106, 219]}, {\"cell\": \"1\", \"bbox\": [178, 210, 184, 219]}, {\"cell\": \"(8.3)\", \"bbox\": [221, 210, 237, 219]}, {\"cell\": \"4\", \"bbox\": [274, 210, 280, 219]}, {\"cell\": \"(20)\", \"bbox\": [317, 210, 331, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 210, 376, 219]}, {\"cell\": \"(15.6)\", \"bbox\": [441, 210, 460, 219]}, {\"cell\": \"Locoregional\", \"bbox\": [1, 222, 44, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [178, 222, 184, 231]}, {\"cell\": \"(41.7)\", \"bbox\": [221, 222, 240, 231]}, {\"cell\": \"1\", \"bbox\": [274, 222, 280, 231]}, {\"cell\": \"(5)\", \"bbox\": [317, 222, 327, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 222, 376, 231]}, {\"cell\": \"(18.8)\", \"bbox\": [441, 222, 460, 231]}, {\"cell\": \"Metastatic\", \"bbox\": [1, 234, 35, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [178, 234, 184, 243]}, {\"cell\": \"(58.3)\", \"bbox\": [221, 234, 240, 243]}, {\"cell\": \"19\", \"bbox\": [274, 234, 284, 243]}, {\"cell\": \"(95)\", \"bbox\": [317, 234, 331, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 234, 380, 243]}, {\"cell\": \"(81.3)\", \"bbox\": [441, 234, 460, 243]}, {\"cell\": \"Liver\", \"bbox\": [1, 246, 17, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [178, 246, 184, 255]}, {\"cell\": \"(25.0)\", \"bbox\": [221, 246, 240, 255]}, {\"cell\": \"13\", \"bbox\": [274, 246, 284, 255]}, {\"cell\": \"(65)\", \"bbox\": [317, 246, 331, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 246, 380, 255]}, {\"cell\": \"(50.0)\", \"bbox\": [441, 246, 460, 255]}, {\"cell\": \"Lung\", \"bbox\": [1, 258, 19, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [178, 258, 184, 267]}, {\"cell\": \"(58.3)\", \"bbox\": [221, 258, 240, 267]}, {\"cell\": \"19\", \"bbox\": [274, 258, 284, 267]}, {\"cell\": \"(95)\", \"bbox\": [317, 258, 331, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 258, 380, 267]}, {\"cell\": \"(81.3)\", \"bbox\": [441, 258, 460, 267]}, {\"cell\": \"Bone\", \"bbox\": [1, 270, 19, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [178, 270, 184, 279]}, {\"cell\": \"(16.7)\", \"bbox\": [221, 270, 240, 279]}, {\"cell\": \"5\", \"bbox\": [274, 270, 280, 279]}, {\"cell\": \"(25)\", \"bbox\": [317, 270, 331, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 270, 376, 279]}, {\"cell\": \"(21.9)\", \"bbox\": [441, 270, 460, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3176247_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}173{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Antecedents</b></td><td><b>Number (% on 293)</b></td><td><b>Paraclinic exams</b></td><td><b>Number (% on 293)</b></td></tr></thead><tbody><tr><td>Alcoholism</td><td>[EMPTY_CELL]</td><td>TSH</td><td>7.5</td></tr><tr><td>Alzheimer's disease in family</td><td>[EMPTY_CELL]</td><td>Hemoglobinemia</td><td>22.9</td></tr><tr><td><i>Illness story</i></td><td>[EMPTY_CELL]</td><td>Natremia</td><td>13.3</td></tr><tr><td>Evolution</td><td>[EMPTY_CELL]</td><td>Calcaemia + protidemia</td><td>2.0</td></tr><tr><td><i>Clinical exam</i></td><td>[EMPTY_CELL]</td><td>Glycaemia</td><td>8.2</td></tr><tr><td>Vigilance</td><td>[EMPTY_CELL]</td><td>Brain imaging</td><td>24.9</td></tr><tr><td>Mnestic trouble</td><td>[EMPTY_CELL]</td><td>Syphilis</td><td>0.3</td></tr><tr><td>Depression</td><td>[EMPTY_CELL]</td><td>HIV</td><td>0.3</td></tr><tr><td>Neurological exam</td><td>[EMPTY_CELL]</td><td>B12</td><td>2.4</td></tr><tr><td><i>Scores and tests</i></td><td>[EMPTY_CELL]</td><td>Foliates</td><td>2.4</td></tr><tr><td>IADL</td><td>[EMPTY_CELL]</td><td>Hepatic Function (INR)</td><td>6.1</td></tr><tr><td>MMS</td><td>[EMPTY_CELL]</td><td>Lumbar Puncture</td><td>0.3</td></tr><tr><td>Simple cognitive test</td><td>[EMPTY_CELL]</td><td>EEG</td><td>4.1</td></tr><tr><td>Complex cognitive test</td><td>[EMPTY_CELL]</td><td><i>Advice</i></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Specialized advice</td><td>42.7</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Antecedents</b>\", \"bbox\": [2, 9, 48, 19]}, {\"cell\": \"<b>Number (% on 293)</b>\", \"bbox\": [78, 4, 120, 25]}, {\"cell\": \"<b>Paraclinic exams</b>\", \"bbox\": [123, 9, 185, 19]}, {\"cell\": \"<b>Number (% on 293)</b>\", \"bbox\": [197, 4, 240, 25]}, {\"cell\": \"Alcoholism\", \"bbox\": [2, 28, 45, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 28, 106, 38]}, {\"cell\": \"TSH\", \"bbox\": [123, 28, 142, 38]}, {\"cell\": \"7.5\", \"bbox\": [212, 28, 225, 38]}, {\"cell\": \"Alzheimer's disease in family\", \"bbox\": [2, 40, 73, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 45, 106, 56]}, {\"cell\": \"Hemoglobinemia\", \"bbox\": [123, 45, 188, 56]}, {\"cell\": \"22.9\", \"bbox\": [210, 45, 227, 56]}, {\"cell\": \"<i>Illness story</i>\", \"bbox\": [2, 63, 45, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Natremia\", \"bbox\": [123, 63, 159, 74]}, {\"cell\": \"13.3\", \"bbox\": [210, 63, 227, 74]}, {\"cell\": \"Evolution\", \"bbox\": [2, 81, 40, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 81, 106, 92]}, {\"cell\": \"Calcaemia + protidemia\", \"bbox\": [123, 76, 170, 97]}, {\"cell\": \"2.0\", \"bbox\": [212, 81, 225, 92]}, {\"cell\": \"<i>Clinical exam</i>\", \"bbox\": [2, 99, 53, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Glycaemia\", \"bbox\": [123, 99, 163, 110]}, {\"cell\": \"8.2\", \"bbox\": [212, 99, 225, 110]}, {\"cell\": \"Vigilance\", \"bbox\": [2, 112, 38, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 112, 108, 123]}, {\"cell\": \"Brain imaging\", \"bbox\": [123, 112, 176, 123]}, {\"cell\": \"24.9\", \"bbox\": [210, 112, 227, 123]}, {\"cell\": \"Mnestic trouble\", \"bbox\": [2, 125, 61, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 125, 106, 136]}, {\"cell\": \"Syphilis\", \"bbox\": [123, 125, 153, 136]}, {\"cell\": \"0.3\", \"bbox\": [212, 125, 225, 136]}, {\"cell\": \"Depression\", \"bbox\": [2, 138, 45, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 138, 108, 149]}, {\"cell\": \"HIV\", \"bbox\": [123, 138, 141, 149]}, {\"cell\": \"0.3\", \"bbox\": [212, 138, 225, 149]}, {\"cell\": \"Neurological exam\", \"bbox\": [2, 151, 72, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 151, 108, 162]}, {\"cell\": \"B12\", \"bbox\": [123, 151, 139, 162]}, {\"cell\": \"2.4\", \"bbox\": [212, 151, 225, 162]}, {\"cell\": \"<i>Scores and tests</i>\", \"bbox\": [2, 165, 57, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Foliates\", \"bbox\": [123, 165, 152, 175]}, {\"cell\": \"2.4\", \"bbox\": [212, 165, 225, 175]}, {\"cell\": \"IADL\", \"bbox\": [2, 182, 25, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 182, 106, 193]}, {\"cell\": \"Hepatic Function (INR)\", \"bbox\": [123, 177, 188, 198]}, {\"cell\": \"6.1\", \"bbox\": [212, 182, 225, 193]}, {\"cell\": \"MMS\", \"bbox\": [2, 200, 25, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 200, 108, 211]}, {\"cell\": \"Lumbar Puncture\", \"bbox\": [123, 200, 189, 211]}, {\"cell\": \"0.3\", \"bbox\": [212, 200, 225, 211]}, {\"cell\": \"Simple cognitive test\", \"bbox\": [2, 213, 78, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 213, 106, 224]}, {\"cell\": \"EEG\", \"bbox\": [123, 213, 141, 224]}, {\"cell\": \"4.1\", \"bbox\": [212, 213, 225, 224]}, {\"cell\": \"Complex cognitive test\", \"bbox\": [2, 226, 72, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 231, 106, 242]}, {\"cell\": \"<i>Advice</i>\", \"bbox\": [123, 231, 148, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Specialized advice\", \"bbox\": [123, 249, 189, 260]}, {\"cell\": \"42.7\", \"bbox\": [210, 249, 227, 260]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3275935_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}174{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Outcome measure</b></td><td colspan=\\\"3\\\"><b>Pre</b></td><td colspan=\\\"5\\\"><b>Post</b></td></tr><tr><td><b>Experimental Group (<i>n</i> = 20)</b></td><td><b>Control group (<i>n</i> = 19)</b></td><td><b>Test Statistics</b></td><td><b>Experimental Group (<i>n</i> = 20)</b></td><td><b>Control group (<i>n</i> = 19)</b></td><td><b>95% CI (Difference between the groups postintervention)</b></td><td><b><i>F</i></b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>BBS (max. score 56) (mean ± SD)</td><td>46.90 ± 6.84</td><td>43.53 ± 8.67</td><td><i>t</i>: <i>P</i> = 0.184</td><td>[EMPTY_CELL]</td><td>46.05 ± 8.35</td><td>0.631–9.24</td><td>5.39</td><td>0.026<sup>*</sup></td></tr><tr><td>FRT (in inches) (mean ± SD)</td><td>8.02 ± 2.53</td><td>7.84 ± 3.13</td><td><i>t</i>: <i>P</i> = 0.842</td><td>[EMPTY_CELL]</td><td>8.05 ± 3.14</td><td>0.932–2.58</td><td>0.908</td><td>0.347</td></tr><tr><td>BI (mean ± SD)</td><td>79.00 ± 11.98</td><td>76.58 ± 13.75</td><td><i>t</i>: <i>P</i> = 0.561</td><td>[EMPTY_CELL]</td><td>78.74 ± 15.50</td><td>9.79–5.11</td><td>4.14</td><td>0.049<sup>*</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Outcome measure</b>\", \"bbox\": [2, 17, 38, 38]}, {\"cell\": \"<b>Pre</b>\", \"bbox\": [144, 4, 158, 15]}, {\"cell\": \"<b>Post</b>\", \"bbox\": [359, 4, 376, 15]}, {\"cell\": \"<b>Experimental Group (<i>n</i> = 20)</b>\", \"bbox\": [69, 17, 120, 50]}, {\"cell\": \"<b>Control group (<i>n</i> = 19)</b>\", \"bbox\": [125, 22, 178, 45]}, {\"cell\": \"<b>Test Statistics</b>\", \"bbox\": [182, 28, 232, 38]}, {\"cell\": \"<b>Experimental Group (<i>n</i> = 20)</b>\", \"bbox\": [237, 17, 287, 50]}, {\"cell\": \"<b>Control group (<i>n</i> = 19)</b>\", \"bbox\": [292, 22, 345, 45]}, {\"cell\": \"<b>95% CI (Difference between the groups postintervention)</b>\", \"bbox\": [350, 17, 421, 49]}, {\"cell\": \"<b><i>F</i></b>\", \"bbox\": [440, 24, 447, 40]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [468, 24, 496, 40]}, {\"cell\": \"BBS (max. score 56) (mean ± SD)\", \"bbox\": [2, 51, 64, 74]}, {\"cell\": \"46.90 ± 6.84\", \"bbox\": [71, 53, 118, 68]}, {\"cell\": \"43.53 ± 8.67\", \"bbox\": [129, 53, 174, 68]}, {\"cell\": \"<i>t</i>: <i>P</i> = 0.184\", \"bbox\": [185, 53, 229, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [240, 53, 284, 68]}, {\"cell\": \"46.05 ± 8.35\", \"bbox\": [296, 53, 341, 68]}, {\"cell\": \"0.631–9.24\", \"bbox\": [366, 56, 405, 67]}, {\"cell\": \"5.39\", \"bbox\": [435, 56, 452, 67]}, {\"cell\": \"0.026<sup>*</sup>\", \"bbox\": [469, 52, 494, 67]}, {\"cell\": \"FRT (in inches) (mean ± SD)\", \"bbox\": [2, 74, 61, 96]}, {\"cell\": \"8.02 ± 2.53\", \"bbox\": [74, 76, 115, 91]}, {\"cell\": \"7.84 ± 3.13\", \"bbox\": [132, 76, 171, 91]}, {\"cell\": \"<i>t</i>: <i>P</i> = 0.842\", \"bbox\": [185, 76, 229, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 76, 282, 91]}, {\"cell\": \"8.05 ± 3.14\", \"bbox\": [299, 76, 339, 91]}, {\"cell\": \"0.932–2.58\", \"bbox\": [366, 79, 406, 90]}, {\"cell\": \"0.908\", \"bbox\": [432, 79, 454, 90]}, {\"cell\": \"0.347\", \"bbox\": [472, 79, 493, 90]}, {\"cell\": \"BI (mean ± SD)\", \"bbox\": [2, 97, 51, 119]}, {\"cell\": \"79.00 ± 11.98\", \"bbox\": [71, 99, 118, 114]}, {\"cell\": \"76.58 ± 13.75\", \"bbox\": [128, 99, 175, 114]}, {\"cell\": \"<i>t</i>: <i>P</i> = 0.561\", \"bbox\": [185, 99, 229, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [240, 99, 284, 114]}, {\"cell\": \"78.74 ± 15.50\", \"bbox\": [295, 99, 343, 114]}, {\"cell\": \"9.79–5.11\", \"bbox\": [369, 102, 402, 113]}, {\"cell\": \"4.14\", \"bbox\": [435, 102, 451, 113]}, {\"cell\": \"0.049<sup>*</sup>\", \"bbox\": [469, 98, 495, 113]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4251094_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}175{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>2004 <i>n</i> = 300 [1]</b></td><td><b>HTA 2004 <i>n</i> = 23</b></td><td><b>HTA 2014 <i>n</i> = 30</b></td><td><b>Cochrane 2014 <i>n</i> = 45 [1]</b></td><td><b>2014 <i>n</i> = 300 [1]</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">Screening</td></tr><tr><td>By at least two authors</td><td>[EMPTY_CELL]</td><td>14 (61%)</td><td>22 (73%)</td><td>44 (98%)</td><td>200 (67%)</td></tr><tr><td>By one author, with a sample screened by a second</td><td>[EMPTY_CELL]</td><td>2 (9%)</td><td>3 (10%)</td><td>1 (2%)</td><td>7 (2%)</td></tr><tr><td>By one author only</td><td>[EMPTY_CELL]</td><td>2 (9%)</td><td>1 (3%)</td><td>0 (0%)</td><td>6 (2%)</td></tr><tr><td>Not reported / Unclear</td><td>[EMPTY_CELL]</td><td>5 (22%)</td><td>4 (13%)</td><td>0 (0%)</td><td>87 (29%)</td></tr><tr><td>Empty review (no included / eligible studies)</td><td>[EMPTY_CELL]</td><td>0/23 (0%)</td><td>2/30 (7%)</td><td>3/45 (7%)</td><td>4/300 (1%)</td></tr><tr><td>Extraction</td><td>[EMPTY_CELL]</td><td><i>n</i> = 23</td><td><i>n</i> = 28</td><td><i>n</i> = 42</td><td><i>n</i> = 296</td></tr><tr><td>By at least two authors</td><td>[EMPTY_CELL]</td><td>4 (17%)</td><td>5 (18%)</td><td>41 (98%)</td><td>163 (55%)</td></tr><tr><td>By one author, with data verified by a second</td><td>[EMPTY_CELL]</td><td>14 (61%)</td><td>19 (68%)</td><td>0 (0%)</td><td>29 (10%)</td></tr><tr><td>By one author only</td><td>[EMPTY_CELL]</td><td>1 (4%)</td><td>2 (7%)</td><td>0 (0%)</td><td>7 (2%)</td></tr><tr><td>Not reported / Unclear</td><td>[EMPTY_CELL]</td><td>4 (17%)</td><td>2 (7%)</td><td>1 (2%)</td><td>97 (33%)</td></tr><tr><td>Quality assessment</td><td>[EMPTY_CELL]</td><td>23 (100%)</td><td>28 (100%)</td><td>42 (100%)</td><td>206 (70%)</td></tr><tr><td>By at least two authors</td><td>[EMPTY_CELL]</td><td>5 (22%)</td><td>10 (36%)</td><td>37 (88%)</td><td>121/206 (59%)</td></tr><tr><td>By one author, with data verified by a second</td><td>[EMPTY_CELL]</td><td>11 (48%)</td><td>12 (43%)</td><td>0 (0%)</td><td>6/206 (3%)</td></tr><tr><td>By one author only</td><td>[EMPTY_CELL]</td><td>1 (4%)</td><td>0 (0%)</td><td>0 (0%)</td><td>3/206 (1%)</td></tr><tr><td>Not reported</td><td>[EMPTY_CELL]</td><td>6 (26%)</td><td>6 (21%)</td><td>5 (12%)</td><td>76/206 (37%)</td></tr><tr><td colspan=\\\"6\\\">Risk of bias / quality assessment tool</td></tr><tr><td>Cochrane (or modification)</td><td>[EMPTY_CELL]</td><td>2 (9%)</td><td>12 (43%)</td><td>37 (88%)</td><td>77 (37%)</td></tr><tr><td>Jadad</td><td>[EMPTY_CELL]</td><td>4 (17%)</td><td>0 (0%)</td><td>0(0%)</td><td>33 (11%)</td></tr><tr><td>Newcastle-Ottowa</td><td>[EMPTY_CELL]</td><td>0</td><td>0 (0%)</td><td>1 (2%)</td><td>17 (8%)</td></tr><tr><td>QUADAS, QUADAS-2</td><td>[EMPTY_CELL]</td><td>1 (4%)</td><td>5 (18%)</td><td>0 (0%)</td><td>8 (4%)</td></tr><tr><td>Own</td><td>[EMPTY_CELL]</td><td>2 (9%)</td><td>3 (11%)</td><td>2 (5%)</td><td>38 (18%)</td></tr><tr><td>Other</td><td>[EMPTY_CELL]</td><td>14 (61%)<sup>a</sup></td><td>9 (32%)<sup>a</sup></td><td>3 (7%)</td><td>53 (26%)</td></tr><tr><td>Not reported</td><td>[EMPTY_CELL]</td><td>1 (4%)</td><td>1 (4%)</td><td>0 (0%)</td><td>6 (3%)</td></tr><tr><td>Selective reporting<sup>b</sup></td><td>[EMPTY_CELL]</td><td>0</td><td>10/28 (36%)</td><td>36/42 (86%)</td><td>70 (24%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"<b>2004 <i>n</i> = 300 [1]</b>\", \"bbox\": [121, 4, 174, 13]}, {\"cell\": \"<b>HTA 2004 <i>n</i> = 23</b>\", \"bbox\": [199, 4, 254, 13]}, {\"cell\": \"<b>HTA 2014 <i>n</i> = 30</b>\", \"bbox\": [278, 4, 333, 13]}, {\"cell\": \"<b>Cochrane 2014 <i>n</i> = 45 [1]</b>\", \"bbox\": [357, 4, 407, 22]}, {\"cell\": \"<b>2014 <i>n</i> = 300 [1]</b>\", \"bbox\": [431, 4, 484, 13]}, {\"cell\": \"Screening\", \"bbox\": [1, 26, 34, 36]}, {\"cell\": \"By at least two authors\", \"bbox\": [1, 40, 76, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 40, 132, 50]}, {\"cell\": \"14 (61%)\", \"bbox\": [199, 40, 228, 50]}, {\"cell\": \"22 (73%)\", \"bbox\": [278, 40, 307, 50]}, {\"cell\": \"44 (98%)\", \"bbox\": [357, 40, 386, 50]}, {\"cell\": \"200 (67%)\", \"bbox\": [431, 40, 464, 50]}, {\"cell\": \"By one author, with a sample screened by a second\", \"bbox\": [1, 54, 97, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 54, 132, 64]}, {\"cell\": \"2 (9%)\", \"bbox\": [199, 54, 221, 64]}, {\"cell\": \"3 (10%)\", \"bbox\": [278, 54, 304, 64]}, {\"cell\": \"1 (2%)\", \"bbox\": [357, 54, 379, 64]}, {\"cell\": \"7 (2%)\", \"bbox\": [431, 54, 453, 64]}, {\"cell\": \"By one author only\", \"bbox\": [1, 77, 64, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 77, 132, 87]}, {\"cell\": \"2 (9%)\", \"bbox\": [199, 77, 221, 87]}, {\"cell\": \"1 (3%)\", \"bbox\": [278, 77, 300, 87]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 77, 379, 87]}, {\"cell\": \"6 (2%)\", \"bbox\": [431, 77, 453, 87]}, {\"cell\": \"Not reported / Unclear\", \"bbox\": [1, 91, 76, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 91, 132, 101]}, {\"cell\": \"5 (22%)\", \"bbox\": [199, 91, 224, 101]}, {\"cell\": \"4 (13%)\", \"bbox\": [278, 91, 304, 101]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 91, 379, 101]}, {\"cell\": \"87 (29%)\", \"bbox\": [431, 91, 461, 101]}, {\"cell\": \"Empty review (no included / eligible studies)\", \"bbox\": [1, 105, 94, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 105, 132, 115]}, {\"cell\": \"0/23 (0%)\", \"bbox\": [199, 105, 231, 115]}, {\"cell\": \"2/30 (7%)\", \"bbox\": [278, 105, 310, 115]}, {\"cell\": \"3/45 (7%)\", \"bbox\": [357, 105, 389, 115]}, {\"cell\": \"4/300 (1%)\", \"bbox\": [431, 105, 467, 115]}, {\"cell\": \"Extraction\", \"bbox\": [1, 128, 34, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 128, 132, 138]}, {\"cell\": \"<i>n</i> = 23\", \"bbox\": [199, 128, 220, 138]}, {\"cell\": \"<i>n</i> = 28\", \"bbox\": [278, 128, 299, 138]}, {\"cell\": \"<i>n</i> = 42\", \"bbox\": [357, 128, 378, 138]}, {\"cell\": \"<i>n</i> = 296\", \"bbox\": [431, 128, 456, 138]}, {\"cell\": \"By at least two authors\", \"bbox\": [1, 142, 76, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 142, 132, 152]}, {\"cell\": \"4 (17%)\", \"bbox\": [199, 142, 224, 152]}, {\"cell\": \"5 (18%)\", \"bbox\": [278, 142, 304, 152]}, {\"cell\": \"41 (98%)\", \"bbox\": [357, 142, 386, 152]}, {\"cell\": \"163 (55%)\", \"bbox\": [431, 142, 464, 152]}, {\"cell\": \"By one author, with data verified by a second\", \"bbox\": [1, 156, 82, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 156, 132, 166]}, {\"cell\": \"14 (61%)\", \"bbox\": [199, 156, 228, 166]}, {\"cell\": \"19 (68%)\", \"bbox\": [278, 156, 307, 166]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 156, 379, 166]}, {\"cell\": \"29 (10%)\", \"bbox\": [431, 156, 461, 166]}, {\"cell\": \"By one author only\", \"bbox\": [1, 179, 64, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 179, 132, 189]}, {\"cell\": \"1 (4%)\", \"bbox\": [199, 179, 221, 189]}, {\"cell\": \"2 (7%)\", \"bbox\": [278, 179, 300, 189]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 179, 379, 189]}, {\"cell\": \"7 (2%)\", \"bbox\": [431, 179, 453, 189]}, {\"cell\": \"Not reported / Unclear\", \"bbox\": [1, 193, 76, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 193, 132, 203]}, {\"cell\": \"4 (17%)\", \"bbox\": [199, 193, 224, 203]}, {\"cell\": \"2 (7%)\", \"bbox\": [278, 193, 300, 203]}, {\"cell\": \"1 (2%)\", \"bbox\": [357, 193, 379, 203]}, {\"cell\": \"97 (33%)\", \"bbox\": [431, 193, 461, 203]}, {\"cell\": \"Quality assessment\", \"bbox\": [1, 207, 63, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 207, 145, 217]}, {\"cell\": \"23 (100%)\", \"bbox\": [199, 207, 232, 217]}, {\"cell\": \"28 (100%)\", \"bbox\": [278, 207, 311, 217]}, {\"cell\": \"42 (100%)\", \"bbox\": [357, 207, 390, 217]}, {\"cell\": \"206 (70%)\", \"bbox\": [431, 207, 464, 217]}, {\"cell\": \"By at least two authors\", \"bbox\": [1, 221, 76, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 221, 132, 231]}, {\"cell\": \"5 (22%)\", \"bbox\": [199, 221, 224, 231]}, {\"cell\": \"10 (36%)\", \"bbox\": [278, 221, 307, 231]}, {\"cell\": \"37 (88%)\", \"bbox\": [357, 221, 386, 231]}, {\"cell\": \"121/206 (59%)\", \"bbox\": [431, 221, 479, 231]}, {\"cell\": \"By one author, with data verified by a second\", \"bbox\": [1, 235, 82, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 235, 132, 245]}, {\"cell\": \"11 (48%)\", \"bbox\": [199, 235, 228, 245]}, {\"cell\": \"12 (43%)\", \"bbox\": [278, 235, 307, 245]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 235, 379, 245]}, {\"cell\": \"6/206 (3%)\", \"bbox\": [431, 235, 467, 245]}, {\"cell\": \"By one author only\", \"bbox\": [1, 258, 64, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 258, 132, 268]}, {\"cell\": \"1 (4%)\", \"bbox\": [199, 258, 221, 268]}, {\"cell\": \"0 (0%)\", \"bbox\": [278, 258, 300, 268]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 258, 379, 268]}, {\"cell\": \"3/206 (1%)\", \"bbox\": [431, 258, 467, 268]}, {\"cell\": \"Not reported\", \"bbox\": [1, 272, 44, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 272, 132, 282]}, {\"cell\": \"6 (26%)\", \"bbox\": [199, 272, 224, 282]}, {\"cell\": \"6 (21%)\", \"bbox\": [278, 272, 304, 282]}, {\"cell\": \"5 (12%)\", \"bbox\": [357, 272, 383, 282]}, {\"cell\": \"76/206 (37%)\", \"bbox\": [431, 272, 475, 282]}, {\"cell\": \"Risk of bias / quality assessment tool\", \"bbox\": [1, 286, 67, 305]}, {\"cell\": \"Cochrane (or modification)\", \"bbox\": [1, 309, 89, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 309, 132, 319]}, {\"cell\": \"2 (9%)\", \"bbox\": [199, 309, 221, 319]}, {\"cell\": \"12 (43%)\", \"bbox\": [278, 309, 307, 319]}, {\"cell\": \"37 (88%)\", \"bbox\": [357, 309, 386, 319]}, {\"cell\": \"77 (37%)\", \"bbox\": [431, 309, 461, 319]}, {\"cell\": \"Jadad\", \"bbox\": [1, 323, 21, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 323, 132, 333]}, {\"cell\": \"4 (17%)\", \"bbox\": [199, 323, 224, 333]}, {\"cell\": \"0 (0%)\", \"bbox\": [278, 323, 300, 333]}, {\"cell\": \"0(0%)\", \"bbox\": [357, 323, 376, 333]}, {\"cell\": \"33 (11%)\", \"bbox\": [431, 323, 461, 333]}, {\"cell\": \"Newcastle-Ottowa\", \"bbox\": [1, 337, 61, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 337, 132, 347]}, {\"cell\": \"0\", \"bbox\": [199, 337, 204, 347]}, {\"cell\": \"0 (0%)\", \"bbox\": [278, 337, 300, 347]}, {\"cell\": \"1 (2%)\", \"bbox\": [357, 337, 379, 347]}, {\"cell\": \"17 (8%)\", \"bbox\": [431, 337, 457, 347]}, {\"cell\": \"QUADAS, QUADAS-2\", \"bbox\": [1, 351, 69, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 351, 132, 361]}, {\"cell\": \"1 (4%)\", \"bbox\": [199, 351, 221, 361]}, {\"cell\": \"5 (18%)\", \"bbox\": [278, 351, 304, 361]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 351, 379, 361]}, {\"cell\": \"8 (4%)\", \"bbox\": [431, 351, 453, 361]}, {\"cell\": \"Own\", \"bbox\": [1, 365, 18, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 365, 132, 375]}, {\"cell\": \"2 (9%)\", \"bbox\": [199, 365, 221, 375]}, {\"cell\": \"3 (11%)\", \"bbox\": [278, 365, 304, 375]}, {\"cell\": \"2 (5%)\", \"bbox\": [357, 365, 379, 375]}, {\"cell\": \"38 (18%)\", \"bbox\": [431, 365, 461, 375]}, {\"cell\": \"Other\", \"bbox\": [1, 379, 21, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 379, 132, 389]}, {\"cell\": \"14 (61%)<sup>a</sup>\", \"bbox\": [199, 377, 231, 389]}, {\"cell\": \"9 (32%)<sup>a</sup>\", \"bbox\": [278, 377, 306, 389]}, {\"cell\": \"3 (7%)\", \"bbox\": [357, 379, 379, 389]}, {\"cell\": \"53 (26%)\", \"bbox\": [431, 379, 461, 389]}, {\"cell\": \"Not reported\", \"bbox\": [1, 393, 44, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 393, 132, 403]}, {\"cell\": \"1 (4%)\", \"bbox\": [199, 393, 221, 403]}, {\"cell\": \"1 (4%)\", \"bbox\": [278, 393, 300, 403]}, {\"cell\": \"0 (0%)\", \"bbox\": [357, 393, 379, 403]}, {\"cell\": \"6 (3%)\", \"bbox\": [431, 393, 453, 403]}, {\"cell\": \"Selective reporting<sup>b</sup>\", \"bbox\": [1, 405, 66, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 407, 132, 417]}, {\"cell\": \"0\", \"bbox\": [199, 407, 204, 417]}, {\"cell\": \"10/28 (36%)\", \"bbox\": [278, 407, 318, 417]}, {\"cell\": \"36/42 (86%)\", \"bbox\": [357, 407, 397, 417]}, {\"cell\": \"70 (24%)\", \"bbox\": [431, 407, 461, 417]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5941703_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}176{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Scale</b></td><td><b>Range</b></td><td><b>Mean (SD)</b></td><td><b>Cut-off scores<sup>a</sup></b></td><td><b>N(%)<sup>b</sup></b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Child Self-Report</td></tr><tr><td> Total Summary Score</td><td>67.23–98.91</td><td>[EMPTY_CELL]</td><td>69.71</td><td>4 (9.30)</td></tr><tr><td> Psychosocial Health Summary Score</td><td>63.33–100</td><td>[EMPTY_CELL]</td><td>66.03</td><td>3 (7)</td></tr><tr><td>Physical Functioning</td><td>68.75–100</td><td>[EMPTY_CELL]</td><td>72.98</td><td>3 (7)</td></tr><tr><td>Emotional Functioning</td><td>45–100</td><td>[EMPTY_CELL]</td><td>59.57</td><td>2 (4.65)</td></tr><tr><td>Social Functioning</td><td>60–100</td><td>[EMPTY_CELL]</td><td>66.61</td><td>5 (11.63)</td></tr><tr><td>School Functioning</td><td>55–100</td><td>[EMPTY_CELL]</td><td>62.99</td><td>4 (9.30)</td></tr><tr><td colspan=\\\"5\\\">Parent Proxy-Report</td></tr><tr><td> Total Summary Score</td><td>72.83–100</td><td>[EMPTY_CELL]</td><td>65.42</td><td>0 (0)</td></tr><tr><td> Psychosocial Health Summary Score</td><td>65–100</td><td>[EMPTY_CELL]</td><td>64.38</td><td>1 (6.67)</td></tr><tr><td>Physical Functioning</td><td>65.62–100</td><td>[EMPTY_CELL]</td><td>63.28</td><td>0 (0)</td></tr><tr><td>Emotional Functioning</td><td>50–100</td><td>[EMPTY_CELL]</td><td>63.29</td><td>4 (9.30)</td></tr><tr><td>Social Functioning</td><td>65–100</td><td>[EMPTY_CELL]</td><td>62.07</td><td>1 (6.67)</td></tr><tr><td>School Functioning</td><td>50–100</td><td>[EMPTY_CELL]</td><td>56.75</td><td>1 (6.67)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Scale</b>\", \"bbox\": [1, 4, 19, 13]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [176, 4, 198, 13]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [265, 4, 300, 13]}, {\"cell\": \"<b>Cut-off scores<sup>a</sup></b>\", \"bbox\": [357, 2, 405, 13]}, {\"cell\": \"<b>N(%)<sup>b</sup></b>\", \"bbox\": [455, 2, 476, 13]}, {\"cell\": \"Child Self-Report\", \"bbox\": [1, 17, 56, 27]}, {\"cell\": \" Total Summary Score\", \"bbox\": [9, 31, 79, 41]}, {\"cell\": \"67.23–98.91\", \"bbox\": [176, 31, 215, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 31, 303, 41]}, {\"cell\": \"69.71\", \"bbox\": [357, 31, 376, 41]}, {\"cell\": \"4 (9.30)\", \"bbox\": [455, 31, 481, 41]}, {\"cell\": \" Psychosocial Health Summary Score\", \"bbox\": [9, 45, 126, 55]}, {\"cell\": \"63.33–100\", \"bbox\": [176, 45, 210, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 45, 303, 55]}, {\"cell\": \"66.03\", \"bbox\": [357, 45, 376, 55]}, {\"cell\": \"3 (7)\", \"bbox\": [455, 45, 472, 55]}, {\"cell\": \"Physical Functioning\", \"bbox\": [16, 59, 84, 69]}, {\"cell\": \"68.75–100\", \"bbox\": [176, 59, 210, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 59, 303, 69]}, {\"cell\": \"72.98\", \"bbox\": [357, 59, 376, 69]}, {\"cell\": \"3 (7)\", \"bbox\": [455, 59, 472, 69]}, {\"cell\": \"Emotional Functioning\", \"bbox\": [16, 73, 91, 83]}, {\"cell\": \"45–100\", \"bbox\": [176, 73, 201, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 73, 307, 83]}, {\"cell\": \"59.57\", \"bbox\": [357, 73, 376, 83]}, {\"cell\": \"2 (4.65)\", \"bbox\": [455, 73, 481, 83]}, {\"cell\": \"Social Functioning\", \"bbox\": [16, 87, 77, 97]}, {\"cell\": \"60–100\", \"bbox\": [176, 87, 201, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 87, 307, 97]}, {\"cell\": \"66.61\", \"bbox\": [357, 87, 376, 97]}, {\"cell\": \"5 (11.63)\", \"bbox\": [455, 87, 484, 97]}, {\"cell\": \"School Functioning\", \"bbox\": [16, 101, 81, 111]}, {\"cell\": \"55–100\", \"bbox\": [176, 101, 201, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 101, 307, 111]}, {\"cell\": \"62.99\", \"bbox\": [357, 101, 376, 111]}, {\"cell\": \"4 (9.30)\", \"bbox\": [455, 101, 481, 111]}, {\"cell\": \"Parent Proxy-Report\", \"bbox\": [0, 115, 66, 125]}, {\"cell\": \" Total Summary Score\", \"bbox\": [8, 129, 79, 139]}, {\"cell\": \"72.83–100\", \"bbox\": [176, 129, 210, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 129, 303, 139]}, {\"cell\": \"65.42\", \"bbox\": [357, 129, 376, 139]}, {\"cell\": \"0 (0)\", \"bbox\": [455, 129, 472, 139]}, {\"cell\": \" Psychosocial Health Summary Score\", \"bbox\": [8, 143, 126, 153]}, {\"cell\": \"65–100\", \"bbox\": [176, 143, 201, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 143, 303, 153]}, {\"cell\": \"64.38\", \"bbox\": [357, 143, 376, 153]}, {\"cell\": \"1 (6.67)\", \"bbox\": [455, 143, 481, 153]}, {\"cell\": \"Physical Functioning\", \"bbox\": [16, 157, 84, 167]}, {\"cell\": \"65.62–100\", \"bbox\": [176, 157, 210, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 157, 303, 167]}, {\"cell\": \"63.28\", \"bbox\": [357, 157, 376, 167]}, {\"cell\": \"0 (0)\", \"bbox\": [455, 157, 472, 167]}, {\"cell\": \"Emotional Functioning\", \"bbox\": [16, 171, 91, 181]}, {\"cell\": \"50–100\", \"bbox\": [176, 171, 201, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 171, 307, 181]}, {\"cell\": \"63.29\", \"bbox\": [357, 171, 376, 181]}, {\"cell\": \"4 (9.30)\", \"bbox\": [455, 171, 481, 181]}, {\"cell\": \"Social Functioning\", \"bbox\": [16, 185, 77, 195]}, {\"cell\": \"65–100\", \"bbox\": [176, 185, 201, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 185, 307, 195]}, {\"cell\": \"62.07\", \"bbox\": [357, 185, 376, 195]}, {\"cell\": \"1 (6.67)\", \"bbox\": [455, 185, 481, 195]}, {\"cell\": \"School Functioning\", \"bbox\": [16, 199, 81, 209]}, {\"cell\": \"50–100\", \"bbox\": [176, 199, 201, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 199, 307, 209]}, {\"cell\": \"56.75\", \"bbox\": [357, 199, 376, 209]}, {\"cell\": \"1 (6.67)\", \"bbox\": [455, 199, 481, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5813395_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}177{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b><i>Before RDN (baseline)</i></b></td><td><b><i>Follow up</i></b></td><td><b><i>Reduction</i></b></td></tr></thead><tbody><tr><td>Patient 1: right brachial approach Office BP (mmHg)</td><td>[EMPTY_CELL]</td><td>12/06/2015: 137/77</td><td>22/17 mmHg</td></tr><tr><td>ABPM: mean BP (mmHg)</td><td>[EMPTY_CELL]</td><td>130.2/74.9 (4 months after RDN)</td><td>6.9/3.2 mmHg</td></tr><tr><td>BP meds (3 drugs)</td><td>[EMPTY_CELL]</td><td>Prexum Plus/Bisocor</td><td>no</td></tr><tr><td>Patient 2: left radial approach Office BP (mmHg)</td><td>[EMPTY_CELL]</td><td>17/08/2015: 128/73</td><td>45/21 mmHg</td></tr><tr><td>ABPM: mean BP (mmHg)</td><td>[EMPTY_CELL]</td><td>133.2/82 (4 months after RDN)</td><td>22.3/3 mmHg</td></tr><tr><td>BP meds (4 drugs)</td><td>[EMPTY_CELL]</td><td>Co-Pritor/Bisocor/Spiractin</td><td>no</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>Before RDN (baseline)</i></b>\", \"bbox\": [81, 3, 124, 22]}, {\"cell\": \"<b><i>Follow up</i></b>\", \"bbox\": [145, 12, 179, 22]}, {\"cell\": \"<b><i>Reduction</i></b>\", \"bbox\": [201, 12, 236, 22]}, {\"cell\": \"Patient 1: right brachial approach Office BP (mmHg)\", \"bbox\": [4, 24, 69, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 24, 123, 42]}, {\"cell\": \"12/06/2015: 137/77\", \"bbox\": [142, 24, 182, 42]}, {\"cell\": \"22/17 mmHg\", \"bbox\": [196, 24, 242, 33]}, {\"cell\": \"ABPM: mean BP (mmHg)\", \"bbox\": [4, 53, 65, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 53, 121, 63]}, {\"cell\": \"130.2/74.9 (4 months after RDN)\", \"bbox\": [135, 53, 189, 81]}, {\"cell\": \"6.9/3.2 mmHg\", \"bbox\": [194, 53, 244, 63]}, {\"cell\": \"BP meds (3 drugs)\", \"bbox\": [4, 83, 67, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 83, 126, 101]}, {\"cell\": \"Prexum Plus/Bisocor\", \"bbox\": [139, 83, 185, 101]}, {\"cell\": \"no\", \"bbox\": [213, 83, 224, 92]}, {\"cell\": \"Patient 2: left radial approach Office BP (mmHg)\", \"bbox\": [4, 103, 69, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 103, 123, 121]}, {\"cell\": \"17/08/2015: 128/73\", \"bbox\": [142, 103, 182, 121]}, {\"cell\": \"45/21 mmHg\", \"bbox\": [196, 103, 242, 112]}, {\"cell\": \"ABPM: mean BP (mmHg)\", \"bbox\": [4, 132, 65, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [88, 132, 118, 142]}, {\"cell\": \"133.2/82 (4 months after RDN)\", \"bbox\": [135, 132, 189, 160]}, {\"cell\": \"22.3/3 mmHg\", \"bbox\": [195, 132, 243, 142]}, {\"cell\": \"BP meds (4 drugs)\", \"bbox\": [4, 162, 67, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [75, 162, 130, 180]}, {\"cell\": \"Co-Pritor/Bisocor/Spiractin\", \"bbox\": [135, 162, 189, 180]}, {\"cell\": \"no\", \"bbox\": [213, 162, 224, 171]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4817202_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}178{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Category of Gene sets</b></td><td><b>Gene set name</b></td><td><b>Count</b></td><td><b>FDR</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>5</td><td>4.37e-03</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4</td><td>4.80e-03</td></tr><tr><td><b>GO_BP</b></td><td>[EMPTY_CELL]</td><td>3</td><td>4.80e-03</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>5</td><td>4.83e-03</td></tr><tr><td><b>KEGG</b></td><td>[EMPTY_CELL]</td><td>3</td><td>4.10e-03</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9</td><td>5.43e-09</td></tr><tr><td><b>CGP</b></td><td>[EMPTY_CELL]</td><td>10</td><td>5.43e-09</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>10</td><td>5.43e-09</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7</td><td>1.65e-05</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Category of Gene sets</b>\", \"bbox\": [4, 6, 99, 17]}, {\"cell\": \"<b>Gene set name</b>\", \"bbox\": [111, 6, 175, 17]}, {\"cell\": \"<b>Count</b>\", \"bbox\": [375, 6, 404, 17]}, {\"cell\": \"<b>FDR</b>\", \"bbox\": [448, 6, 471, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 24, 193, 35]}, {\"cell\": \"5\", \"bbox\": [386, 24, 393, 35]}, {\"cell\": \"4.37e-03\", \"bbox\": [441, 24, 478, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 42, 338, 53]}, {\"cell\": \"4\", \"bbox\": [386, 42, 393, 53]}, {\"cell\": \"4.80e-03\", \"bbox\": [441, 39, 478, 54]}, {\"cell\": \"<b>GO_BP</b>\", \"bbox\": [4, 66, 39, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 60, 330, 83]}, {\"cell\": \"3\", \"bbox\": [386, 66, 393, 77]}, {\"cell\": \"4.80e-03\", \"bbox\": [441, 63, 478, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 89, 184, 101]}, {\"cell\": \"5\", \"bbox\": [386, 89, 393, 101]}, {\"cell\": \"4.83e-03\", \"bbox\": [441, 86, 478, 101]}, {\"cell\": \"<b>KEGG</b>\", \"bbox\": [3, 107, 36, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 107, 220, 118]}, {\"cell\": \"3\", \"bbox\": [386, 107, 393, 118]}, {\"cell\": \"4.10e-03\", \"bbox\": [441, 107, 478, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 125, 273, 136]}, {\"cell\": \"9\", \"bbox\": [386, 122, 393, 137]}, {\"cell\": \"5.43e-09\", \"bbox\": [441, 122, 478, 137]}, {\"cell\": \"<b>CGP</b>\", \"bbox\": [3, 143, 27, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 143, 312, 154]}, {\"cell\": \"10\", \"bbox\": [384, 143, 396, 154]}, {\"cell\": \"5.43e-09\", \"bbox\": [441, 139, 478, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 160, 220, 171]}, {\"cell\": \"10\", \"bbox\": [384, 160, 396, 171]}, {\"cell\": \"5.43e-09\", \"bbox\": [441, 157, 478, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [111, 178, 199, 189]}, {\"cell\": \"7\", \"bbox\": [386, 178, 393, 189]}, {\"cell\": \"1.65e-05\", \"bbox\": [441, 178, 478, 189]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5354650_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}179{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Study day</b></td><td><b>Activity</b></td></tr></thead><tbody><tr><td><b>-7 to - 1</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>- 6</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>- 5</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>- 2</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>7</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>8</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>14</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>15</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>21</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>22</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>28</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>29</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>60</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>61</b></td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study day</b>\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"<b>Activity</b>\", \"bbox\": [116, 4, 144, 13]}, {\"cell\": \"<b>-7 to - 1</b>\", \"bbox\": [1, 17, 30, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 17, 236, 27]}, {\"cell\": \"<b>- 6</b>\", \"bbox\": [1, 31, 12, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 31, 227, 41]}, {\"cell\": \"<b>- 5</b>\", \"bbox\": [1, 45, 12, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 45, 223, 73]}, {\"cell\": \"<b>- 2</b>\", \"bbox\": [1, 77, 12, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 77, 206, 96]}, {\"cell\": \"<b>0</b>\", \"bbox\": [1, 100, 7, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 100, 216, 119]}, {\"cell\": \"<b>7</b>\", \"bbox\": [1, 123, 7, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 123, 183, 142]}, {\"cell\": \"<b>8</b>\", \"bbox\": [1, 146, 7, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 146, 213, 174]}, {\"cell\": \"<b>14</b>\", \"bbox\": [1, 178, 11, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 178, 183, 197]}, {\"cell\": \"<b>15</b>\", \"bbox\": [1, 201, 11, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 201, 213, 229]}, {\"cell\": \"<b>21</b>\", \"bbox\": [1, 233, 11, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 233, 215, 270]}, {\"cell\": \"<b>22</b>\", \"bbox\": [1, 274, 11, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 274, 213, 302]}, {\"cell\": \"<b>28</b>\", \"bbox\": [1, 306, 11, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 306, 183, 325]}, {\"cell\": \"<b>29</b>\", \"bbox\": [1, 329, 11, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 329, 213, 357]}, {\"cell\": \"<b>60</b>\", \"bbox\": [1, 361, 11, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 361, 216, 380]}, {\"cell\": \"<b>61</b>\", \"bbox\": [1, 384, 11, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 384, 199, 403]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3424115_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}180{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Targeted metabolomics platform</b></td><td rowspan=\\\"2\\\"><b>Volume of serum used (μL)</b></td><td rowspan=\\\"2\\\"><b>Sample prep method</b></td><td rowspan=\\\"2\\\"><b>Analytical platform</b></td><td rowspan=\\\"2\\\"><b>Metabolite class coverage</b></td><td colspan=\\\"3\\\"><b>Platform targets (n)</b></td></tr><tr><td><b>Total</b></td><td><b>Quality control passed</b></td><td><b>Percentage of missing data</b></td></tr></thead><tbody><tr><td>Biogenic amine [51]</td><td>5</td><td>Protein precipitation and AccQTag derivatization</td><td>[EMPTY_CELL]</td><td>Amino acids, catecholamines and polyamines</td><td>100</td><td>38</td><td>0.03</td></tr><tr><td>Positive lipid [52]</td><td>10</td><td>Isopropyl alcohol extraction</td><td>[EMPTY_CELL]</td><td>Phospholipids, cholesterol esters, di/triglycerides and sphingomyelins</td><td>250</td><td>140</td><td>0.11</td></tr><tr><td>Negative lipid [52]</td><td>20</td><td>Methanol extraction</td><td>[EMPTY_CELL]</td><td>Free fatty acids and phospholipids</td><td>150</td><td>59</td><td>0.17</td></tr><tr><td>Oxylipins [53]</td><td>250</td><td>Oasis HLB solid-phase extraction</td><td>[EMPTY_CELL]</td><td>Hydroxylated fatty acids, prostaglandins, and thromboxanes</td><td>120</td><td>35</td><td>0.07</td></tr><tr><td>Acyl-carnitines</td><td>10</td><td>Protein precipitation</td><td>[EMPTY_CELL]</td><td>Acylcarnitines, TMAO, choline, betaine</td><td>50</td><td>26</td><td>0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Targeted metabolomics platform</b>\", \"bbox\": [1, 4, 77, 22]}, {\"cell\": \"<b>Volume of serum used (μL)</b>\", \"bbox\": [81, 4, 112, 31]}, {\"cell\": \"<b>Sample prep method</b>\", \"bbox\": [117, 4, 187, 13]}, {\"cell\": \"<b>Analytical platform</b>\", \"bbox\": [203, 4, 235, 22]}, {\"cell\": \"<b>Metabolite class coverage</b>\", \"bbox\": [268, 4, 353, 13]}, {\"cell\": \"<b>Platform targets (n)</b>\", \"bbox\": [365, 4, 429, 13]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [365, 17, 383, 27]}, {\"cell\": \"<b>Quality control passed</b>\", \"bbox\": [388, 17, 436, 36]}, {\"cell\": \"<b>Percentage of missing data</b>\", \"bbox\": [440, 17, 484, 36]}, {\"cell\": \"Biogenic amine [51]\", \"bbox\": [1, 39, 66, 49]}, {\"cell\": \"5\", \"bbox\": [81, 39, 87, 49]}, {\"cell\": \"Protein precipitation and AccQTag derivatization\", \"bbox\": [117, 39, 198, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 39, 261, 49]}, {\"cell\": \"Amino acids, catecholamines and polyamines\", \"bbox\": [268, 39, 361, 58]}, {\"cell\": \"100\", \"bbox\": [365, 39, 379, 49]}, {\"cell\": \"38\", \"bbox\": [388, 39, 397, 49]}, {\"cell\": \"0.03\", \"bbox\": [440, 39, 455, 49]}, {\"cell\": \"Positive lipid [52]\", \"bbox\": [1, 62, 57, 72]}, {\"cell\": \"10\", \"bbox\": [81, 62, 91, 72]}, {\"cell\": \"Isopropyl alcohol extraction\", \"bbox\": [117, 62, 173, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 62, 241, 72]}, {\"cell\": \"Phospholipids, cholesterol esters, di/triglycerides and sphingomyelins\", \"bbox\": [268, 62, 354, 90]}, {\"cell\": \"250\", \"bbox\": [365, 62, 379, 72]}, {\"cell\": \"140\", \"bbox\": [388, 62, 401, 72]}, {\"cell\": \"0.11\", \"bbox\": [440, 62, 455, 72]}, {\"cell\": \"Negative lipid [52]\", \"bbox\": [1, 94, 61, 104]}, {\"cell\": \"20\", \"bbox\": [81, 94, 91, 104]}, {\"cell\": \"Methanol extraction\", \"bbox\": [117, 94, 183, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 94, 241, 104]}, {\"cell\": \"Free fatty acids and phospholipids\", \"bbox\": [268, 94, 333, 113]}, {\"cell\": \"150\", \"bbox\": [365, 94, 379, 104]}, {\"cell\": \"59\", \"bbox\": [388, 94, 397, 104]}, {\"cell\": \"0.17\", \"bbox\": [440, 94, 455, 104]}, {\"cell\": \"Oxylipins [53]\", \"bbox\": [0, 117, 45, 127]}, {\"cell\": \"250\", \"bbox\": [81, 117, 95, 127]}, {\"cell\": \"Oasis HLB solid-phase extraction\", \"bbox\": [117, 117, 188, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 117, 253, 127]}, {\"cell\": \"Hydroxylated fatty acids, prostaglandins, and thromboxanes\", \"bbox\": [268, 117, 349, 145]}, {\"cell\": \"120\", \"bbox\": [365, 117, 379, 127]}, {\"cell\": \"35\", \"bbox\": [388, 117, 397, 127]}, {\"cell\": \"0.07\", \"bbox\": [440, 117, 455, 127]}, {\"cell\": \"Acyl-carnitines\", \"bbox\": [0, 149, 48, 159]}, {\"cell\": \"10\", \"bbox\": [81, 149, 91, 159]}, {\"cell\": \"Protein precipitation\", \"bbox\": [117, 149, 184, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 149, 264, 159]}, {\"cell\": \"Acylcarnitines, TMAO, choline, betaine\", \"bbox\": [268, 149, 339, 168]}, {\"cell\": \"50\", \"bbox\": [365, 149, 375, 159]}, {\"cell\": \"26\", \"bbox\": [388, 149, 397, 159]}, {\"cell\": \"0\", \"bbox\": [440, 149, 446, 159]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4902991_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}181{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>Location</b></td><td><b>Resistant to</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Aluminum (Al)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Arsenic (As)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Arsenic (As)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Arsenic (As)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Norfloxacin, puromycin, and tosufloxacin</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Cadmium (Cd), zinc (Zn)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Copper (Cu)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Magnesium (Mg), cobalt (Co), nickel (Ni), manganese (Mn)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Cobalt (Co), magnesium (Mg)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Camphor</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Copper (Cu)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Copper (Cu)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Copper (Cu)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Daunorubicin and doxorubicin</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Triclosan</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Iron (Fe), zinc (Zn), cobalt (Co), cadmium (Cd), nickel (Ni)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Chloramphenicol and tetracycline</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Mercury (Hg)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Deoxycholate and novobiocin</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Deoxycholate and novobiocin</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Acriflavine, benzalkonium, chloramphenicol, deoxycholate, doxorubicin, ethidium, fluoroquinolones, fosfomycin tetraphenylphosphonium ion (TPP), and trimethoprim</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Manganese (Mn), iron (Fe), cadmium (Cd), cobalt (Co), zinc (Zn)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Manganese (Mn), magnesium (Mg), methyl viologen, hydrogen</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Peroxide (H<sub>2</sub>O<sub>2</sub>)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Tungsten (W), molybdenum (Mo)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Acriflavine, ciprofloxacin, daunomycin, doxorubicin, ethidium bromide, kanamycin, norfloxacin, ofloxacin, and streptomycin</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Organic hydroperoxide</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Arsenic (As)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Antiseptic and disinfectant compounds, e.g., intercalating dyes, diamidines, and quaternary ammonium salts</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Cetylpridininium chloride (CPC), chromium (Cr), dodine and 2-nitroimidazole</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Spectinomycin and tetracycline</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Quaternary ammonium compound</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Tetracycline</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Vancomycin</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>4,6-diamidino-2-phenylindole (DAPI), acriflavine, Ethidium</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Bromide, tetraphenylphosphonium (TPP), quaternary ammonium</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Compounds (QACs)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Zinc (Zn)</td></tr><tr><td>[EMPTY_CELL]</td><td>Chromosome</td><td>Zinc (Zn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), Cadmium (Cd)</td></tr><tr><td>[EMPTY_CELL]</td><td>Plasmid</td><td>Tellurite</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [1, 6, 20, 14]}, {\"cell\": \"<b>Location</b>\", \"bbox\": [37, 6, 68, 14]}, {\"cell\": \"<b>Resistant to</b>\", \"bbox\": [104, 6, 146, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 23, 11, 32]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 23, 80, 32]}, {\"cell\": \"Aluminum (Al)\", \"bbox\": [104, 23, 147, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 34, 16, 42]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 34, 80, 42]}, {\"cell\": \"Arsenic (As)\", \"bbox\": [104, 34, 141, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 17, 52]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 44, 80, 52]}, {\"cell\": \"Arsenic (As)\", \"bbox\": [104, 44, 141, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 16, 62]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 54, 80, 62]}, {\"cell\": \"Arsenic (As)\", \"bbox\": [104, 54, 141, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 64, 18, 73]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 64, 80, 73]}, {\"cell\": \"Norfloxacin, puromycin, and tosufloxacin\", \"bbox\": [104, 64, 228, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 18, 83]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 74, 80, 83]}, {\"cell\": \"Cadmium (Cd), zinc (Zn)\", \"bbox\": [104, 74, 178, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 84, 18, 93]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 84, 80, 93]}, {\"cell\": \"Copper (Cu)\", \"bbox\": [104, 84, 142, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 17, 104]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 96, 80, 104]}, {\"cell\": \"Magnesium (Mg), cobalt (Co), nickel (Ni), manganese (Mn)\", \"bbox\": [104, 96, 227, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 117, 17, 125]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 117, 80, 125]}, {\"cell\": \"Cobalt (Co), magnesium (Mg)\", \"bbox\": [104, 117, 194, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 128, 17, 136]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 128, 80, 136]}, {\"cell\": \"Camphor\", \"bbox\": [104, 128, 134, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 139, 18, 148]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 139, 80, 148]}, {\"cell\": \"Copper (Cu)\", \"bbox\": [104, 139, 142, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 151, 17, 159]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 151, 80, 159]}, {\"cell\": \"Copper (Cu)\", \"bbox\": [104, 151, 142, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 162, 18, 171]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 162, 80, 171]}, {\"cell\": \"Copper (Cu)\", \"bbox\": [104, 162, 142, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 173, 15, 182]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 173, 80, 182]}, {\"cell\": \"Daunorubicin and doxorubicin\", \"bbox\": [104, 173, 196, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 185, 16, 193]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 185, 80, 193]}, {\"cell\": \"Triclosan\", \"bbox\": [104, 185, 132, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 196, 13, 205]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 196, 80, 205]}, {\"cell\": \"Iron (Fe), zinc (Zn), cobalt (Co), cadmium (Cd), nickel (Ni)\", \"bbox\": [104, 196, 243, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 217, 19, 225]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 217, 80, 225]}, {\"cell\": \"Chloramphenicol and tetracycline\", \"bbox\": [104, 217, 206, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 228, 23, 237]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 228, 80, 237]}, {\"cell\": \"Mercury (Hg)\", \"bbox\": [104, 228, 144, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 240, 19, 248]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 240, 80, 248]}, {\"cell\": \"Deoxycholate and novobiocin\", \"bbox\": [104, 240, 195, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 251, 19, 259]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 251, 80, 259]}, {\"cell\": \"Deoxycholate and novobiocin\", \"bbox\": [104, 251, 195, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 262, 19, 271]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 262, 80, 271]}, {\"cell\": \"Acriflavine, benzalkonium, chloramphenicol, deoxycholate, doxorubicin, ethidium, fluoroquinolones, fosfomycin tetraphenylphosphonium ion (TPP), and trimethoprim\", \"bbox\": [104, 262, 237, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 312, 19, 320]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 312, 80, 320]}, {\"cell\": \"Manganese (Mn), iron (Fe), cadmium (Cd), cobalt (Co), zinc (Zn)\", \"bbox\": [104, 312, 232, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 332, 19, 341]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 332, 80, 341]}, {\"cell\": \"Manganese (Mn), magnesium (Mg), methyl viologen, hydrogen\", \"bbox\": [104, 332, 233, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Peroxide (H<sub>2</sub>O<sub>2</sub>)\", \"bbox\": [104, 353, 154, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 365, 21, 373]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 365, 80, 373]}, {\"cell\": \"Tungsten (W), molybdenum (Mo)\", \"bbox\": [104, 365, 203, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 376, 18, 384]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 376, 80, 384]}, {\"cell\": \"Acriflavine, ciprofloxacin, daunomycin, doxorubicin, ethidium bromide, kanamycin, norfloxacin, ofloxacin, and streptomycin\", \"bbox\": [104, 376, 235, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 406, 17, 415]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 406, 80, 415]}, {\"cell\": \"Organic hydroperoxide\", \"bbox\": [104, 406, 174, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 418, 17, 426]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 418, 80, 426]}, {\"cell\": \"Arsenic (As)\", \"bbox\": [104, 418, 141, 426]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 429, 18, 437]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 429, 80, 437]}, {\"cell\": \"Antiseptic and disinfectant compounds, e.g., intercalating dyes, diamidines, and quaternary ammonium salts\", \"bbox\": [104, 429, 244, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 459, 16, 468]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 459, 80, 468]}, {\"cell\": \"Cetylpridininium chloride (CPC), chromium (Cr), dodine and 2-nitroimidazole\", \"bbox\": [104, 459, 247, 477]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 480, 12, 489]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 480, 80, 489]}, {\"cell\": \"Spectinomycin and tetracycline\", \"bbox\": [104, 480, 200, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 491, 18, 500]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 491, 80, 500]}, {\"cell\": \"Quaternary ammonium compound\", \"bbox\": [104, 491, 210, 500]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 503, 19, 511]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 503, 80, 511]}, {\"cell\": \"Tetracycline\", \"bbox\": [104, 503, 141, 511]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 514, 19, 523]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 514, 80, 523]}, {\"cell\": \"Vancomycin\", \"bbox\": [104, 514, 142, 523]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 525, 18, 534]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 525, 80, 534]}, {\"cell\": \"4,6-diamidino-2-phenylindole (DAPI), acriflavine, Ethidium\", \"bbox\": [104, 525, 216, 543]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bromide, tetraphenylphosphonium (TPP), quaternary ammonium\", \"bbox\": [104, 546, 230, 564]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Compounds (QACs)\", \"bbox\": [104, 567, 166, 576]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 578, 15, 587]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 578, 80, 587]}, {\"cell\": \"Zinc (Zn)\", \"bbox\": [104, 578, 132, 587]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 590, 17, 598]}, {\"cell\": \"Chromosome\", \"bbox\": [37, 590, 80, 598]}, {\"cell\": \"Zinc (Zn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), Cadmium (Cd)\", \"bbox\": [104, 590, 230, 608]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 611, 17, 619]}, {\"cell\": \"Plasmid\", \"bbox\": [37, 611, 63, 619]}, {\"cell\": \"Tellurite\", \"bbox\": [104, 611, 128, 619]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5104964_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}182{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>SuperFamily</b></td><td rowspan=\\\"2\\\"><b>Family</b></td><td rowspan=\\\"2\\\"><b># Seq</b></td><td colspan=\\\"2\\\"><b>HMM-d</b></td><td colspan=\\\"2\\\"><b>HMM-ModE with HMMER3 (HMMER2)</b></td></tr><tr><td><b>Se</b></td><td><b>Sp</b></td><td><b>Se</b></td><td><b>Sp</b></td></tr></thead><tbody><tr><td rowspan=\\\"6\\\">[EMPTY_CELL]</td><td>AMP deaminase</td><td>28</td><td>1</td><td>0.90</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>100</td><td>1</td><td>0.50</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>1</td><td>0.05</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>13</td><td>1</td><td>0.14</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td><td>1</td><td>0.22</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>1</td><td>0.35</td><td>1(1)</td><td>1(1)</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>Enolase</td><td>215</td><td>1</td><td>0.88</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>26</td><td>1</td><td>0.20</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>14</td><td>1</td><td>0.09</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>1</td><td>0.05</td><td>1(1)</td><td>1(1)</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Enoyl-CoA hydratase</td><td>54</td><td>1</td><td>0.23</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td><td>11</td><td>0.09</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>P-type atpase</td><td>91</td><td>1</td><td>0.77</td><td>1(1)</td><td>1(1)</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>Catechol 2,3-dioxygenase</td><td>32</td><td>1</td><td>0.28</td><td>1(1)</td><td>0.88 (0.88)</td></tr><tr><td>[EMPTY_CELL]</td><td>26</td><td>1</td><td>0.60</td><td>1(1)</td><td>1(1)</td></tr><tr><td>[EMPTY_CELL]</td><td>23</td><td>1</td><td>0.20</td><td>0.95 (1)</td><td>0.71(0.63)</td></tr><tr><td>[EMPTY_CELL]</td><td>12</td><td>1</td><td>0.20</td><td>1(1)</td><td>1(1)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>SuperFamily</b>\", \"bbox\": [19, 4, 64, 13]}, {\"cell\": \"<b>Family</b>\", \"bbox\": [150, 4, 175, 13]}, {\"cell\": \"<b># Seq</b>\", \"bbox\": [243, 4, 264, 13]}, {\"cell\": \"<b>HMM-d</b>\", \"bbox\": [288, 4, 316, 13]}, {\"cell\": \"<b>HMM-ModE with HMMER3 (HMMER2)</b>\", \"bbox\": [346, 4, 478, 13]}, {\"cell\": \"<b>Se</b>\", \"bbox\": [281, 17, 291, 27]}, {\"cell\": \"<b>Sp</b>\", \"bbox\": [310, 17, 321, 27]}, {\"cell\": \"<b>Se</b>\", \"bbox\": [364, 17, 374, 27]}, {\"cell\": \"<b>Sp</b>\", \"bbox\": [445, 17, 455, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 30, 69, 40]}, {\"cell\": \"AMP deaminase\", \"bbox\": [136, 30, 189, 40]}, {\"cell\": \"28\", \"bbox\": [248, 30, 258, 40]}, {\"cell\": \"1\", \"bbox\": [283, 30, 289, 40]}, {\"cell\": \"0.90\", \"bbox\": [308, 30, 323, 40]}, {\"cell\": \"1(1)\", \"bbox\": [362, 30, 376, 40]}, {\"cell\": \"1(1)\", \"bbox\": [443, 30, 457, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 44, 174, 54]}, {\"cell\": \"100\", \"bbox\": [247, 44, 260, 54]}, {\"cell\": \"1\", \"bbox\": [283, 44, 289, 54]}, {\"cell\": \"0.50\", \"bbox\": [308, 44, 323, 54]}, {\"cell\": \"1(1)\", \"bbox\": [362, 44, 376, 54]}, {\"cell\": \"1(1)\", \"bbox\": [443, 44, 457, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 58, 188, 68]}, {\"cell\": \"10\", \"bbox\": [248, 58, 258, 68]}, {\"cell\": \"1\", \"bbox\": [283, 58, 289, 68]}, {\"cell\": \"0.05\", \"bbox\": [308, 58, 323, 68]}, {\"cell\": \"1(1)\", \"bbox\": [362, 58, 376, 68]}, {\"cell\": \"1(1)\", \"bbox\": [443, 58, 457, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 72, 191, 82]}, {\"cell\": \"13\", \"bbox\": [248, 72, 258, 82]}, {\"cell\": \"1\", \"bbox\": [283, 72, 289, 82]}, {\"cell\": \"0.14\", \"bbox\": [308, 72, 323, 82]}, {\"cell\": \"1(1)\", \"bbox\": [362, 72, 376, 82]}, {\"cell\": \"1(1)\", \"bbox\": [443, 72, 457, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 86, 195, 96]}, {\"cell\": \"11\", \"bbox\": [248, 86, 258, 96]}, {\"cell\": \"1\", \"bbox\": [283, 86, 289, 96]}, {\"cell\": \"0.22\", \"bbox\": [308, 86, 323, 96]}, {\"cell\": \"1(1)\", \"bbox\": [362, 86, 376, 96]}, {\"cell\": \"1(1)\", \"bbox\": [443, 86, 457, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 100, 199, 110]}, {\"cell\": \"10\", \"bbox\": [248, 100, 258, 110]}, {\"cell\": \"1\", \"bbox\": [283, 100, 289, 110]}, {\"cell\": \"0.35\", \"bbox\": [308, 100, 323, 110]}, {\"cell\": \"1(1)\", \"bbox\": [362, 100, 376, 110]}, {\"cell\": \"1(1)\", \"bbox\": [443, 100, 457, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [29, 114, 55, 124]}, {\"cell\": \"Enolase\", \"bbox\": [149, 114, 175, 124]}, {\"cell\": \"215\", \"bbox\": [247, 114, 260, 124]}, {\"cell\": \"1\", \"bbox\": [283, 114, 289, 124]}, {\"cell\": \"0.88\", \"bbox\": [308, 114, 323, 124]}, {\"cell\": \"1(1)\", \"bbox\": [362, 114, 376, 124]}, {\"cell\": \"1(1)\", \"bbox\": [443, 114, 457, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 128, 199, 138]}, {\"cell\": \"26\", \"bbox\": [248, 128, 258, 138]}, {\"cell\": \"1\", \"bbox\": [283, 128, 289, 138]}, {\"cell\": \"0.20\", \"bbox\": [308, 128, 323, 138]}, {\"cell\": \"1(1)\", \"bbox\": [362, 128, 376, 138]}, {\"cell\": \"1(1)\", \"bbox\": [443, 128, 457, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 142, 205, 152]}, {\"cell\": \"14\", \"bbox\": [248, 142, 258, 152]}, {\"cell\": \"1\", \"bbox\": [283, 142, 289, 152]}, {\"cell\": \"0.09\", \"bbox\": [308, 142, 323, 152]}, {\"cell\": \"1(1)\", \"bbox\": [362, 142, 376, 152]}, {\"cell\": \"1(1)\", \"bbox\": [443, 142, 457, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [109, 156, 215, 166]}, {\"cell\": \"10\", \"bbox\": [248, 156, 258, 166]}, {\"cell\": \"1\", \"bbox\": [283, 156, 289, 166]}, {\"cell\": \"0.05\", \"bbox\": [308, 156, 323, 166]}, {\"cell\": \"1(1)\", \"bbox\": [362, 156, 376, 166]}, {\"cell\": \"1(1)\", \"bbox\": [443, 156, 457, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 170, 59, 180]}, {\"cell\": \"Enoyl-CoA hydratase\", \"bbox\": [128, 170, 196, 180]}, {\"cell\": \"54\", \"bbox\": [248, 170, 258, 180]}, {\"cell\": \"1\", \"bbox\": [283, 170, 289, 180]}, {\"cell\": \"0.23\", \"bbox\": [308, 170, 323, 180]}, {\"cell\": \"1(1)\", \"bbox\": [362, 170, 376, 180]}, {\"cell\": \"1(1)\", \"bbox\": [443, 170, 457, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 184, 203, 194]}, {\"cell\": \"11\", \"bbox\": [248, 184, 258, 194]}, {\"cell\": \"11\", \"bbox\": [281, 184, 291, 194]}, {\"cell\": \"0.09\", \"bbox\": [308, 184, 323, 194]}, {\"cell\": \"1(1)\", \"bbox\": [362, 184, 376, 194]}, {\"cell\": \"1(1)\", \"bbox\": [443, 184, 457, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 198, 83, 208]}, {\"cell\": \"P-type atpase\", \"bbox\": [140, 198, 185, 208]}, {\"cell\": \"91\", \"bbox\": [248, 198, 258, 208]}, {\"cell\": \"1\", \"bbox\": [283, 198, 289, 208]}, {\"cell\": \"0.77\", \"bbox\": [308, 198, 323, 208]}, {\"cell\": \"1(1)\", \"bbox\": [362, 198, 376, 208]}, {\"cell\": \"1(1)\", \"bbox\": [443, 198, 457, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 212, 79, 222]}, {\"cell\": \"Catechol 2,3-dioxygenase\", \"bbox\": [121, 212, 204, 222]}, {\"cell\": \"32\", \"bbox\": [248, 212, 258, 222]}, {\"cell\": \"1\", \"bbox\": [283, 212, 289, 222]}, {\"cell\": \"0.28\", \"bbox\": [308, 212, 323, 222]}, {\"cell\": \"1(1)\", \"bbox\": [362, 212, 376, 222]}, {\"cell\": \"0.88 (0.88)\", \"bbox\": [433, 212, 467, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 226, 225, 236]}, {\"cell\": \"26\", \"bbox\": [248, 226, 258, 236]}, {\"cell\": \"1\", \"bbox\": [283, 226, 289, 236]}, {\"cell\": \"0.60\", \"bbox\": [308, 226, 323, 236]}, {\"cell\": \"1(1)\", \"bbox\": [362, 226, 376, 236]}, {\"cell\": \"1(1)\", \"bbox\": [443, 226, 457, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 240, 220, 250]}, {\"cell\": \"23\", \"bbox\": [248, 240, 258, 250]}, {\"cell\": \"1\", \"bbox\": [283, 240, 289, 250]}, {\"cell\": \"0.20\", \"bbox\": [308, 240, 323, 250]}, {\"cell\": \"0.95 (1)\", \"bbox\": [357, 240, 382, 250]}, {\"cell\": \"0.71(0.63)\", \"bbox\": [434, 240, 466, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 254, 183, 264]}, {\"cell\": \"12\", \"bbox\": [248, 254, 258, 264]}, {\"cell\": \"1\", \"bbox\": [283, 254, 289, 264]}, {\"cell\": \"0.20\", \"bbox\": [308, 254, 323, 264]}, {\"cell\": \"1(1)\", \"bbox\": [362, 254, 376, 264]}, {\"cell\": \"1(1)\", \"bbox\": [443, 254, 457, 264]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4236727_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}183{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b><i>P. laevis </i>C<sub>[<i>P.laevis</i>] </sub>/ C<sub>[Organ]</sub> ± SD</b></td><td colspan=\\\"3\\\"><b><i>Eustrongylides </i>sp. C<sub>[<i>Eustrongylides</i>sp.] </sub>/ C<sub>[Organ]</sub> ± SD</b></td><td><b>C<sub>[<i>Eustrongylides</i>sp.] </sub>/ C<sub>[<i>P. laevis</i>]</sub> ± SD</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Muscle</b></td><td><b>Intestine</b></td><td><b>Liver</b></td><td><b>Muscle</b></td><td><b>Intestine</b></td><td><b>Liver</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>7.6 (± 7.4)</td><td>3.3 (± 3.6)</td><td>4.5 (± 4.9)</td><td>3.0 (± 2.1)</td><td>1.0 (± 0.6)</td><td>2.0 (± 2.2)</td><td>0.6 (± 0.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>90.3 (± 121.6)</td><td>15. 6 (± 13.3)</td><td>14.1 (± 10.7)</td><td>1.3 (± 0.8)</td><td>0.3 (± 0.2)</td><td>0.3 (± 0.2)</td><td>0.04 (± 0.04)</td></tr><tr><td>[EMPTY_CELL]</td><td>5.3 (± 3.8)</td><td>1.2 (± 0.7)</td><td>1.6 (± 0.8)</td><td>24.1 (± 12.1)</td><td>6.6 (± 5.2)</td><td>8.3 (± 2.9)</td><td>5.8 (± 3.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>26.0 (± 26.5)</td><td>11.0 (± 10.2)</td><td>4.5 (± 6.5)</td><td>122.9 (± 71.0)</td><td>48.3 (± 22.6)</td><td>20.7 (± 17.8)</td><td>6.9 (± 5.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>3.3 (± 2.8)</td><td>0.8 (± 0.4)</td><td>0.7 (± 0.6)</td><td>14.3 (± 7.7)</td><td>3.8 (± 2.1)</td><td>2.9 (± 1.7)</td><td>4.8 (± 2.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>20.6 (± 18.5)</td><td>3.9 (± 4.5)</td><td>7.1 (± 4.1)</td><td>2.2 (± 1.3)</td><td>0.4 (± 0.3)</td><td>1.0 (± 0.7)</td><td>0.2 (± 0.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>337 (± 401)</td><td>36.8 (± 27.6)</td><td>142 (± 133)</td><td>9.4 (± 12.5)</td><td>1.4 (± 1.8)</td><td>4.5 (± 4.6)</td><td>0.04 (± 0.03)</td></tr><tr><td>[EMPTY_CELL]</td><td>2.5 (± 1.5)</td><td>1.2 (± 0.5)</td><td>0.8 (± 0.4)</td><td>7.1 (± 4.9)</td><td>3.4 (± 1.9)</td><td>2.1 (± 1.0)</td><td>2.9 (± 1.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>n.d.</td><td>n.d.</td><td>n.d.</td><td>54.5 (± 93.4)</td><td>22.1 (± 23.3)</td><td>9.1 (± 8.5)</td><td>n.d.</td></tr><tr><td>[EMPTY_CELL]</td><td>2.0 (± 1.7)</td><td>0.6 (± 0.3)</td><td>0.3 (± 0.2)</td><td>3.6 (± 3.1)</td><td>1.0 (± 0.6)</td><td>0.5 (± 0.3)</td><td>1.8 (± 1.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>10.3 (± 4.7)</td><td>4.0 (± 1.8)</td><td>3.6 (± 2.6)</td><td>11.6 (± 6.1)</td><td>4.5 (± 1.7)</td><td>3.6 (± 2.7)</td><td>1.2 (± 0.6)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>P. laevis </i>C<sub>[<i>P.laevis</i>] </sub>/ C<sub>[Organ]</sub> ± SD</b>\", \"bbox\": [23, 4, 131, 14]}, {\"cell\": \"<b><i>Eustrongylides </i>sp. C<sub>[<i>Eustrongylides</i>sp.] </sub>/ C<sub>[Organ]</sub> ± SD</b>\", \"bbox\": [183, 4, 352, 14]}, {\"cell\": \"<b>C<sub>[<i>Eustrongylides</i>sp.] </sub>/ C<sub>[<i>P. laevis</i>]</sub> ± SD</b>\", \"bbox\": [374, 4, 484, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Muscle</b>\", \"bbox\": [23, 17, 49, 26]}, {\"cell\": \"<b>Intestine</b>\", \"bbox\": [78, 17, 110, 26]}, {\"cell\": \"<b>Liver</b>\", \"bbox\": [132, 17, 151, 26]}, {\"cell\": \"<b>Muscle</b>\", \"bbox\": [183, 17, 209, 26]}, {\"cell\": \"<b>Intestine</b>\", \"bbox\": [249, 17, 281, 26]}, {\"cell\": \"<b>Liver</b>\", \"bbox\": [312, 17, 331, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 10, 39]}, {\"cell\": \"7.6 (± 7.4)\", \"bbox\": [23, 30, 57, 39]}, {\"cell\": \"3.3 (± 3.6)\", \"bbox\": [78, 30, 112, 39]}, {\"cell\": \"4.5 (± 4.9)\", \"bbox\": [132, 30, 166, 39]}, {\"cell\": \"3.0 (± 2.1)\", \"bbox\": [183, 30, 217, 39]}, {\"cell\": \"1.0 (± 0.6)\", \"bbox\": [249, 30, 283, 39]}, {\"cell\": \"2.0 (± 2.2)\", \"bbox\": [312, 30, 345, 39]}, {\"cell\": \"0.6 (± 0.6)\", \"bbox\": [374, 30, 408, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 11, 53]}, {\"cell\": \"90.3 (± 121.6)\", \"bbox\": [23, 44, 68, 53]}, {\"cell\": \"15. 6 (± 13.3)\", \"bbox\": [78, 44, 122, 53]}, {\"cell\": \"14.1 (± 10.7)\", \"bbox\": [132, 44, 173, 53]}, {\"cell\": \"1.3 (± 0.8)\", \"bbox\": [183, 44, 217, 53]}, {\"cell\": \"0.3 (± 0.2)\", \"bbox\": [249, 44, 283, 53]}, {\"cell\": \"0.3 (± 0.2)\", \"bbox\": [312, 44, 345, 53]}, {\"cell\": \"0.04 (± 0.04)\", \"bbox\": [374, 44, 415, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 11, 67]}, {\"cell\": \"5.3 (± 3.8)\", \"bbox\": [23, 58, 57, 67]}, {\"cell\": \"1.2 (± 0.7)\", \"bbox\": [78, 58, 112, 67]}, {\"cell\": \"1.6 (± 0.8)\", \"bbox\": [132, 58, 166, 67]}, {\"cell\": \"24.1 (± 12.1)\", \"bbox\": [183, 58, 225, 67]}, {\"cell\": \"6.6 (± 5.2)\", \"bbox\": [249, 58, 283, 67]}, {\"cell\": \"8.3 (± 2.9)\", \"bbox\": [312, 58, 345, 67]}, {\"cell\": \"5.8 (± 3.8)\", \"bbox\": [374, 58, 408, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 11, 81]}, {\"cell\": \"26.0 (± 26.5)\", \"bbox\": [23, 72, 64, 81]}, {\"cell\": \"11.0 (± 10.2)\", \"bbox\": [78, 72, 119, 81]}, {\"cell\": \"4.5 (± 6.5)\", \"bbox\": [132, 72, 166, 81]}, {\"cell\": \"122.9 (± 71.0)\", \"bbox\": [183, 72, 228, 81]}, {\"cell\": \"48.3 (± 22.6)\", \"bbox\": [249, 72, 291, 81]}, {\"cell\": \"20.7 (± 17.8)\", \"bbox\": [312, 72, 353, 81]}, {\"cell\": \"6.9 (± 5.2)\", \"bbox\": [374, 72, 408, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 10, 95]}, {\"cell\": \"3.3 (± 2.8)\", \"bbox\": [23, 86, 57, 95]}, {\"cell\": \"0.8 (± 0.4)\", \"bbox\": [78, 86, 112, 95]}, {\"cell\": \"0.7 (± 0.6)\", \"bbox\": [132, 86, 166, 95]}, {\"cell\": \"14.3 (± 7.7)\", \"bbox\": [183, 86, 221, 95]}, {\"cell\": \"3.8 (± 2.1)\", \"bbox\": [249, 86, 283, 95]}, {\"cell\": \"2.9 (± 1.7)\", \"bbox\": [312, 86, 345, 95]}, {\"cell\": \"4.8 (± 2.0)\", \"bbox\": [374, 86, 408, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 13, 109]}, {\"cell\": \"20.6 (± 18.5)\", \"bbox\": [23, 100, 64, 109]}, {\"cell\": \"3.9 (± 4.5)\", \"bbox\": [78, 100, 112, 109]}, {\"cell\": \"7.1 (± 4.1)\", \"bbox\": [132, 100, 166, 109]}, {\"cell\": \"2.2 (± 1.3)\", \"bbox\": [183, 100, 217, 109]}, {\"cell\": \"0.4 (± 0.3)\", \"bbox\": [249, 100, 283, 109]}, {\"cell\": \"1.0 (± 0.7)\", \"bbox\": [312, 100, 345, 109]}, {\"cell\": \"0.2 (± 0.1)\", \"bbox\": [374, 100, 408, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 11, 123]}, {\"cell\": \"337 (± 401)\", \"bbox\": [23, 114, 62, 123]}, {\"cell\": \"36.8 (± 27.6)\", \"bbox\": [78, 114, 119, 123]}, {\"cell\": \"142 (± 133)\", \"bbox\": [132, 114, 171, 123]}, {\"cell\": \"9.4 (± 12.5)\", \"bbox\": [183, 114, 221, 123]}, {\"cell\": \"1.4 (± 1.8)\", \"bbox\": [249, 114, 283, 123]}, {\"cell\": \"4.5 (± 4.6)\", \"bbox\": [312, 114, 345, 123]}, {\"cell\": \"0.04 (± 0.03)\", \"bbox\": [374, 114, 415, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 10, 137]}, {\"cell\": \"2.5 (± 1.5)\", \"bbox\": [23, 128, 57, 137]}, {\"cell\": \"1.2 (± 0.5)\", \"bbox\": [78, 128, 112, 137]}, {\"cell\": \"0.8 (± 0.4)\", \"bbox\": [132, 128, 166, 137]}, {\"cell\": \"7.1 (± 4.9)\", \"bbox\": [183, 128, 217, 137]}, {\"cell\": \"3.4 (± 1.9)\", \"bbox\": [249, 128, 283, 137]}, {\"cell\": \"2.1 (± 1.0)\", \"bbox\": [312, 128, 345, 137]}, {\"cell\": \"2.9 (± 1.2)\", \"bbox\": [374, 128, 408, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 10, 151]}, {\"cell\": \"n.d.\", \"bbox\": [23, 142, 36, 151]}, {\"cell\": \"n.d.\", \"bbox\": [78, 142, 91, 151]}, {\"cell\": \"n.d.\", \"bbox\": [132, 142, 145, 151]}, {\"cell\": \"54.5 (± 93.4)\", \"bbox\": [183, 142, 225, 151]}, {\"cell\": \"22.1 (± 23.3)\", \"bbox\": [249, 142, 291, 151]}, {\"cell\": \"9.1 (± 8.5)\", \"bbox\": [312, 142, 345, 151]}, {\"cell\": \"n.d.\", \"bbox\": [374, 142, 387, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 7, 165]}, {\"cell\": \"2.0 (± 1.7)\", \"bbox\": [23, 156, 57, 165]}, {\"cell\": \"0.6 (± 0.3)\", \"bbox\": [78, 156, 112, 165]}, {\"cell\": \"0.3 (± 0.2)\", \"bbox\": [132, 156, 166, 165]}, {\"cell\": \"3.6 (± 3.1)\", \"bbox\": [183, 156, 217, 165]}, {\"cell\": \"1.0 (± 0.6)\", \"bbox\": [249, 156, 283, 165]}, {\"cell\": \"0.5 (± 0.3)\", \"bbox\": [312, 156, 345, 165]}, {\"cell\": \"1.8 (± 1.1)\", \"bbox\": [374, 156, 408, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 11, 179]}, {\"cell\": \"10.3 (± 4.7)\", \"bbox\": [23, 170, 60, 179]}, {\"cell\": \"4.0 (± 1.8)\", \"bbox\": [78, 170, 112, 179]}, {\"cell\": \"3.6 (± 2.6)\", \"bbox\": [132, 170, 166, 179]}, {\"cell\": \"11.6 (± 6.1)\", \"bbox\": [183, 170, 221, 179]}, {\"cell\": \"4.5 (± 1.7)\", \"bbox\": [249, 170, 283, 179]}, {\"cell\": \"3.6 (± 2.7)\", \"bbox\": [312, 170, 345, 179]}, {\"cell\": \"1.2 (± 0.6)\", \"bbox\": [374, 170, 408, 179]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3558458_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}184{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Script</b></td><td><b>Function</b></td></tr></thead><tbody><tr><td>star-fc-qc.sh</td><td>[EMPTY_CELL]</td></tr><tr><td>star-fc-qc.ws.sh</td><td>[EMPTY_CELL]</td></tr><tr><td>star-fc-qc.summary.sh</td><td>[EMPTY_CELL]</td></tr><tr><td>get-star-summary.pl</td><td>[EMPTY_CELL]</td></tr><tr><td>get-fc-summary.pl</td><td>[EMPTY_CELL]</td></tr><tr><td>get-read-dist.pl</td><td>[EMPTY_CELL]</td></tr><tr><td>get-snp-corr.pl</td><td>[EMPTY_CELL]</td></tr><tr><td>get-expr-table.R</td><td>[EMPTY_CELL]</td></tr><tr><td>get-expr-qc.R</td><td>[EMPTY_CELL]</td></tr><tr><td>plot-rnaseq-metrics.R</td><td>[EMPTY_CELL]</td></tr><tr><td>plot-corr-matrix.R</td><td>[EMPTY_CELL]</td></tr><tr><td>plot-expr-count.R</td><td>[EMPTY_CELL]</td></tr><tr><td>RSeQC-html.pl</td><td>[EMPTY_CELL]</td></tr><tr><td>make_HTMLs.sh</td><td>[EMPTY_CELL]</td></tr><tr><td>gtf2annot.pl</td><td>[EMPTY_CELL]</td></tr><tr><td>gtf2bed.pl</td><td>[EMPTY_CELL]</td></tr><tr><td>star-fc-qc.config.template</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Script</b>\", \"bbox\": [1, 4, 20, 13]}, {\"cell\": \"<b>Function</b>\", \"bbox\": [87, 4, 117, 13]}, {\"cell\": \"star-fc-qc.sh\", \"bbox\": [1, 17, 40, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 17, 195, 27]}, {\"cell\": \"star-fc-qc.ws.sh\", \"bbox\": [1, 31, 50, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 31, 233, 50]}, {\"cell\": \"star-fc-qc.summary.sh\", \"bbox\": [1, 54, 71, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 54, 195, 64]}, {\"cell\": \"get-star-summary.pl\", \"bbox\": [1, 68, 66, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 68, 191, 78]}, {\"cell\": \"get-fc-summary.pl\", \"bbox\": [1, 82, 60, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 82, 219, 92]}, {\"cell\": \"get-read-dist.pl\", \"bbox\": [1, 96, 50, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 96, 206, 106]}, {\"cell\": \"get-snp-corr.pl\", \"bbox\": [1, 110, 49, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 110, 205, 129]}, {\"cell\": \"get-expr-table.R\", \"bbox\": [1, 133, 53, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 133, 230, 143]}, {\"cell\": \"get-expr-qc.R\", \"bbox\": [1, 147, 45, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 147, 230, 166]}, {\"cell\": \"plot-rnaseq-metrics.R\", \"bbox\": [1, 170, 69, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 170, 211, 189]}, {\"cell\": \"plot-corr-matrix.R\", \"bbox\": [1, 193, 57, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 193, 169, 203]}, {\"cell\": \"plot-expr-count.R\", \"bbox\": [1, 207, 58, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 207, 214, 226]}, {\"cell\": \"RSeQC-html.pl\", \"bbox\": [1, 230, 48, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 230, 223, 249]}, {\"cell\": \"make_HTMLs.sh\", \"bbox\": [1, 253, 53, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 253, 228, 272]}, {\"cell\": \"gtf2annot.pl\", \"bbox\": [1, 276, 41, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 276, 219, 295]}, {\"cell\": \"gtf2bed.pl\", \"bbox\": [1, 299, 35, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 299, 237, 318]}, {\"cell\": \"star-fc-qc.config.template\", \"bbox\": [1, 322, 83, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 322, 233, 332]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4706714_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}185{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Atypical (<i>n1</i> = 63, <i>n</i>2 = 6)Mean ± SD</b></td><td><b>Anxiety (<i>n1</i> = 111, <i>n</i>2 = 27)Mean ± SD</b></td><td><b>t</b></td></tr></thead><tbody><tr><td>YMRS-4 (sleep)</td><td>0.67 ± 0.90</td><td>0.03 ± 0.16</td><td>[EMPTY_CELL]</td></tr><tr><td>YMRS-5 (irritability)</td><td>0.86 ± 0.95</td><td>0.14 ± 0.48</td><td>[EMPTY_CELL]</td></tr><tr><td>YMRS-7 (thought form)</td><td>0.05 ± 0.22</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>YMRS-8 (thought content)</td><td>0.14 ± 0.35</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>YMRS-9 (aggressive behaviour)</td><td>0.05 ± 0.22</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>YMRS-10 (appearance)</td><td>0.05 ± 0.22</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>Total score of YMRS</td><td>1.81 ± 1.94</td><td>0.16 ± 0.49</td><td>[EMPTY_CELL]</td></tr><tr><td>HAMA-5 (cognitive function)</td><td>1.90 ± 0.53</td><td>1.54 ± 0.83</td><td>[EMPTY_CELL]</td></tr><tr><td>HAMA-6 (depressed mood)</td><td>2.05 ± 1.06</td><td>1.46 ± 0.86</td><td>[EMPTY_CELL]</td></tr><tr><td>HAMA-8 (sensory symptoms)</td><td>0.67 ± 1.00</td><td>1.35 ± 1.24</td><td>[EMPTY_CELL]</td></tr><tr><td>HAMA-13 (ANS symptoms)</td><td>1.14 ± 0.65</td><td>1.46 ± 0.89</td><td>[EMPTY_CELL]</td></tr><tr><td>HAMA-14 (performance)</td><td>1.57 ± 0.67</td><td>1.97 ± 0.49</td><td>[EMPTY_CELL]</td></tr><tr><td>Somatic anxiety factor</td><td>4.14 ± 3.82</td><td>5.76 ± 3.46</td><td>[EMPTY_CELL]</td></tr><tr><td>Total score of YBOCS</td><td>22.50 ± 4.95</td><td>19.22 ± 2.95</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>Atypical (<i>n1</i> = 63, <i>n</i>2 = 6)Mean ± SD</b>\", \"bbox\": [161, 4, 245, 22]}, {\"cell\": \"<b>Anxiety (<i>n1</i> = 111, <i>n</i>2 = 27)Mean ± SD</b>\", \"bbox\": [306, 4, 396, 22]}, {\"cell\": \"<b>t</b>\", \"bbox\": [456, 4, 461, 13]}, {\"cell\": \"YMRS-4 (sleep)\", \"bbox\": [1, 26, 50, 36]}, {\"cell\": \"0.67 ± 0.90\", \"bbox\": [161, 26, 198, 36]}, {\"cell\": \"0.03 ± 0.16\", \"bbox\": [306, 26, 343, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 24, 482, 36]}, {\"cell\": \"YMRS-5 (irritability)\", \"bbox\": [1, 40, 62, 50]}, {\"cell\": \"0.86 ± 0.95\", \"bbox\": [161, 40, 199, 50]}, {\"cell\": \"0.14 ± 0.48\", \"bbox\": [306, 40, 343, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 38, 482, 50]}, {\"cell\": \"YMRS-7 (thought form)\", \"bbox\": [1, 54, 77, 64]}, {\"cell\": \"0.05 ± 0.22\", \"bbox\": [161, 54, 199, 64]}, {\"cell\": \"0\", \"bbox\": [306, 54, 312, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 52, 477, 64]}, {\"cell\": \"YMRS-8 (thought content)\", \"bbox\": [1, 68, 86, 78]}, {\"cell\": \"0.14 ± 0.35\", \"bbox\": [161, 68, 199, 78]}, {\"cell\": \"0\", \"bbox\": [306, 68, 312, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 66, 482, 78]}, {\"cell\": \"YMRS-9 (aggressive behaviour)\", \"bbox\": [1, 82, 101, 92]}, {\"cell\": \"0.05 ± 0.22\", \"bbox\": [161, 82, 199, 92]}, {\"cell\": \"0\", \"bbox\": [306, 82, 312, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 80, 477, 92]}, {\"cell\": \"YMRS-10 (appearance)\", \"bbox\": [1, 96, 74, 106]}, {\"cell\": \"0.05 ± 0.22\", \"bbox\": [161, 96, 199, 106]}, {\"cell\": \"0\", \"bbox\": [306, 96, 312, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 94, 477, 106]}, {\"cell\": \"Total score of YMRS\", \"bbox\": [1, 110, 66, 120]}, {\"cell\": \"1.81 ± 1.94\", \"bbox\": [161, 110, 199, 120]}, {\"cell\": \"0.16 ± 0.49\", \"bbox\": [306, 110, 343, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 108, 482, 120]}, {\"cell\": \"HAMA-5 (cognitive function)\", \"bbox\": [1, 124, 94, 134]}, {\"cell\": \"1.90 ± 0.53\", \"bbox\": [161, 124, 199, 134]}, {\"cell\": \"1.54 ± 0.83\", \"bbox\": [306, 124, 343, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 122, 480, 134]}, {\"cell\": \"HAMA-6 (depressed mood)\", \"bbox\": [1, 138, 90, 148]}, {\"cell\": \"2.05 ± 1.06\", \"bbox\": [161, 138, 199, 148]}, {\"cell\": \"1.46 ± 0.86\", \"bbox\": [306, 138, 343, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 136, 480, 148]}, {\"cell\": \"HAMA-8 (sensory symptoms)\", \"bbox\": [1, 152, 95, 162]}, {\"cell\": \"0.67 ± 1.00\", \"bbox\": [161, 152, 199, 162]}, {\"cell\": \"1.35 ± 1.24\", \"bbox\": [306, 152, 343, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 150, 484, 162]}, {\"cell\": \"HAMA-13 (ANS symptoms)\", \"bbox\": [1, 166, 89, 176]}, {\"cell\": \"1.14 ± 0.65\", \"bbox\": [161, 166, 199, 176]}, {\"cell\": \"1.46 ± 0.89\", \"bbox\": [306, 166, 343, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 164, 482, 176]}, {\"cell\": \"HAMA-14 (performance)\", \"bbox\": [1, 180, 80, 190]}, {\"cell\": \"1.57 ± 0.67\", \"bbox\": [161, 180, 199, 190]}, {\"cell\": \"1.97 ± 0.49\", \"bbox\": [306, 180, 343, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 178, 484, 190]}, {\"cell\": \"Somatic anxiety factor\", \"bbox\": [1, 194, 74, 204]}, {\"cell\": \"4.14 ± 3.82\", \"bbox\": [161, 194, 199, 204]}, {\"cell\": \"5.76 ± 3.46\", \"bbox\": [306, 194, 343, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 192, 482, 204]}, {\"cell\": \"Total score of YBOCS\", \"bbox\": [1, 208, 70, 218]}, {\"cell\": \"22.50 ± 4.95\", \"bbox\": [161, 208, 202, 218]}, {\"cell\": \"19.22 ± 2.95\", \"bbox\": [306, 208, 347, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 206, 477, 218]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5655950_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}186{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Pat. No.</b></td><td><b>Age</b></td><td><b>Gender</b></td><td><b>Histology</b></td><td><b>Genetic Testing</b></td><td><b>Pretreatment</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>34</td><td>F</td><td>GB</td><td>MGMT meth, mIDH1R132H+</td><td>TMZ 7/14, WBXRT, reS, CCNU/VM26</td></tr><tr><td>[EMPTY_CELL]</td><td>43</td><td>F</td><td>GB</td><td>MGMT unmeth, mIDH1R132H−</td><td>pS, IFXRT, Enza, TMZ 7/14, CCNU/VM26</td></tr><tr><td>[EMPTY_CELL]</td><td>43</td><td>M</td><td>GB</td><td>n.d.</td><td>pS, IFXRT, TMZ, reS, TMZ 7/14</td></tr><tr><td>[EMPTY_CELL]</td><td>46</td><td>M</td><td>GB</td><td>MGMT meth, mIDH1R132H−</td><td>PC, CCNU, TMZ-IFXRT</td></tr><tr><td>[EMPTY_CELL]</td><td>58</td><td>M</td><td>GB</td><td>MGMT unmeth, mIDH1R132H−</td><td>WBXRT, CCNU/TMZ</td></tr><tr><td>[EMPTY_CELL]</td><td>63</td><td>F</td><td>GB</td><td>MGMT unmeth, mIDH1R132H−</td><td>pS, TMZ-IFXRT, TMZ, reS, TMZ 7/14, CCNU/VM26</td></tr><tr><td>[EMPTY_CELL]</td><td>65</td><td>F</td><td>GB</td><td>MGMT unmeth, mIDH1R132H−</td><td>TMZ-IFXRT, TMZ</td></tr><tr><td>[EMPTY_CELL]</td><td>54</td><td>M</td><td>AA</td><td>MGMT ic, mIDH1R132H−</td><td>TMZ, TMZ-IFXRT, CCNU/VM26</td></tr><tr><td>[EMPTY_CELL]</td><td>70</td><td>M</td><td>AA</td><td>mIDH1R132H−</td><td>TMZ 7/14, PC, IFXRT</td></tr><tr><td>[EMPTY_CELL]</td><td>51</td><td>M</td><td>AO</td><td>n.d.</td><td>TMZ, TMZ 7/14, TMZ-IFXRT, CCNU</td></tr><tr><td>[EMPTY_CELL]</td><td>27</td><td>F</td><td>A</td><td>mIDH1R132H+</td><td>IFXRT, TMZ, CCNU</td></tr><tr><td>[EMPTY_CELL]</td><td>37</td><td>F</td><td>A</td><td>mIDH1R132H−</td><td>IFXRT, TMZ 7/14, TMZ-IFXRT</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>M</td><td>A</td><td>mIDH1R132H−, no 1p/19q codeletion</td><td>pS, TMZ, TMZ-IFXRT, CCNU/VP16</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>M</td><td>A</td><td>n.d.</td><td>TMZ, PC, WBXRT</td></tr><tr><td>[EMPTY_CELL]</td><td>53</td><td>F</td><td>A</td><td>n.d.</td><td>pS, TMZ-IFXRT, TMZ 7/14</td></tr><tr><td>[EMPTY_CELL]</td><td>60</td><td>F</td><td>A</td><td>n.d.</td><td>pS, TMZ, TMZ 7/14, WBXRT</td></tr><tr><td>[EMPTY_CELL]</td><td>67</td><td>M</td><td>A</td><td>MGMT ic, mIDH1R132H−, no 1p/19q codeletion</td><td>IFXRT, PCV</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Pat. No.</b>\", \"bbox\": [5, 4, 31, 12]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [38, 4, 52, 12]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [61, 4, 85, 12]}, {\"cell\": \"<b>Histology</b>\", \"bbox\": [93, 4, 124, 12]}, {\"cell\": \"<b>Genetic Testing</b>\", \"bbox\": [175, 4, 223, 12]}, {\"cell\": \"<b>Pretreatment</b>\", \"bbox\": [335, 4, 375, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 15, 21, 24]}, {\"cell\": \"34\", \"bbox\": [41, 15, 50, 24]}, {\"cell\": \"F\", \"bbox\": [70, 15, 76, 24]}, {\"cell\": \"GB\", \"bbox\": [100, 15, 111, 24]}, {\"cell\": \"MGMT meth, mIDH1R132H+\", \"bbox\": [155, 15, 243, 24]}, {\"cell\": \"TMZ 7/14, WBXRT, reS, CCNU/VM26\", \"bbox\": [298, 15, 413, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 23, 21, 32]}, {\"cell\": \"43\", \"bbox\": [41, 23, 50, 32]}, {\"cell\": \"F\", \"bbox\": [70, 23, 76, 32]}, {\"cell\": \"GB\", \"bbox\": [100, 23, 111, 32]}, {\"cell\": \"MGMT unmeth, mIDH1R132H−\", \"bbox\": [150, 23, 248, 32]}, {\"cell\": \"pS, IFXRT, Enza, TMZ 7/14, CCNU/VM26\", \"bbox\": [292, 23, 418, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 31, 21, 40]}, {\"cell\": \"43\", \"bbox\": [41, 31, 50, 40]}, {\"cell\": \"M\", \"bbox\": [69, 31, 77, 40]}, {\"cell\": \"GB\", \"bbox\": [100, 31, 111, 40]}, {\"cell\": \"n.d.\", \"bbox\": [192, 31, 205, 40]}, {\"cell\": \"pS, IFXRT, TMZ, reS, TMZ 7/14\", \"bbox\": [308, 31, 402, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 39, 21, 48]}, {\"cell\": \"46\", \"bbox\": [41, 39, 50, 48]}, {\"cell\": \"M\", \"bbox\": [69, 39, 77, 48]}, {\"cell\": \"GB\", \"bbox\": [100, 39, 111, 48]}, {\"cell\": \"MGMT meth, mIDH1R132H−\", \"bbox\": [154, 39, 244, 48]}, {\"cell\": \"PC, CCNU, TMZ-IFXRT\", \"bbox\": [319, 39, 391, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 47, 21, 56]}, {\"cell\": \"58\", \"bbox\": [41, 47, 50, 56]}, {\"cell\": \"M\", \"bbox\": [69, 47, 77, 56]}, {\"cell\": \"GB\", \"bbox\": [100, 47, 111, 56]}, {\"cell\": \"MGMT unmeth, mIDH1R132H−\", \"bbox\": [150, 47, 248, 56]}, {\"cell\": \"WBXRT, CCNU/TMZ\", \"bbox\": [322, 47, 388, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 55, 21, 64]}, {\"cell\": \"63\", \"bbox\": [41, 55, 50, 64]}, {\"cell\": \"F\", \"bbox\": [70, 55, 76, 64]}, {\"cell\": \"GB\", \"bbox\": [100, 55, 111, 64]}, {\"cell\": \"MGMT unmeth, mIDH1R132H−\", \"bbox\": [150, 55, 248, 64]}, {\"cell\": \"pS, TMZ-IFXRT, TMZ, reS, TMZ 7/14, CCNU/VM26\", \"bbox\": [279, 55, 431, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 63, 21, 72]}, {\"cell\": \"65\", \"bbox\": [41, 63, 50, 72]}, {\"cell\": \"F\", \"bbox\": [70, 63, 76, 72]}, {\"cell\": \"GB\", \"bbox\": [100, 63, 111, 72]}, {\"cell\": \"MGMT unmeth, mIDH1R132H−\", \"bbox\": [150, 63, 248, 72]}, {\"cell\": \"TMZ-IFXRT, TMZ\", \"bbox\": [328, 63, 382, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 71, 21, 80]}, {\"cell\": \"54\", \"bbox\": [41, 71, 50, 80]}, {\"cell\": \"M\", \"bbox\": [69, 71, 77, 80]}, {\"cell\": \"AA\", \"bbox\": [100, 71, 112, 80]}, {\"cell\": \"MGMT ic, mIDH1R132H−\", \"bbox\": [159, 71, 239, 80]}, {\"cell\": \"TMZ, TMZ-IFXRT, CCNU/VM26\", \"bbox\": [306, 71, 405, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 79, 21, 88]}, {\"cell\": \"70\", \"bbox\": [41, 79, 50, 88]}, {\"cell\": \"M\", \"bbox\": [69, 79, 77, 88]}, {\"cell\": \"AA\", \"bbox\": [100, 79, 112, 88]}, {\"cell\": \"mIDH1R132H−\", \"bbox\": [174, 79, 223, 88]}, {\"cell\": \"TMZ 7/14, PC, IFXRT\", \"bbox\": [322, 79, 388, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 88, 22, 96]}, {\"cell\": \"51\", \"bbox\": [41, 88, 50, 96]}, {\"cell\": \"M\", \"bbox\": [69, 88, 77, 96]}, {\"cell\": \"AO\", \"bbox\": [100, 88, 112, 96]}, {\"cell\": \"n.d.\", \"bbox\": [192, 88, 205, 96]}, {\"cell\": \"TMZ, TMZ 7/14, TMZ-IFXRT, CCNU\", \"bbox\": [300, 88, 411, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 96, 22, 104]}, {\"cell\": \"27\", \"bbox\": [41, 96, 50, 104]}, {\"cell\": \"F\", \"bbox\": [70, 96, 76, 104]}, {\"cell\": \"A\", \"bbox\": [102, 96, 109, 104]}, {\"cell\": \"mIDH1R132H+\", \"bbox\": [175, 96, 223, 104]}, {\"cell\": \"IFXRT, TMZ, CCNU\", \"bbox\": [325, 96, 386, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 104, 22, 112]}, {\"cell\": \"37\", \"bbox\": [41, 104, 50, 112]}, {\"cell\": \"F\", \"bbox\": [70, 104, 76, 112]}, {\"cell\": \"A\", \"bbox\": [102, 104, 109, 112]}, {\"cell\": \"mIDH1R132H−\", \"bbox\": [174, 104, 223, 112]}, {\"cell\": \"IFXRT, TMZ 7/14, TMZ-IFXRT\", \"bbox\": [309, 104, 401, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 112, 22, 120]}, {\"cell\": \"42\", \"bbox\": [41, 112, 50, 120]}, {\"cell\": \"M\", \"bbox\": [69, 112, 77, 120]}, {\"cell\": \"A\", \"bbox\": [102, 112, 109, 120]}, {\"cell\": \"mIDH1R132H−, no 1p/19q codeletion\", \"bbox\": [142, 112, 256, 120]}, {\"cell\": \"pS, TMZ, TMZ-IFXRT, CCNU/VP16\", \"bbox\": [302, 112, 409, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 120, 22, 128]}, {\"cell\": \"42\", \"bbox\": [41, 120, 50, 128]}, {\"cell\": \"M\", \"bbox\": [69, 120, 77, 128]}, {\"cell\": \"A\", \"bbox\": [102, 120, 109, 128]}, {\"cell\": \"n.d.\", \"bbox\": [192, 120, 205, 128]}, {\"cell\": \"TMZ, PC, WBXRT\", \"bbox\": [328, 120, 383, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 128, 22, 136]}, {\"cell\": \"53\", \"bbox\": [41, 128, 50, 136]}, {\"cell\": \"F\", \"bbox\": [70, 128, 76, 136]}, {\"cell\": \"A\", \"bbox\": [102, 128, 109, 136]}, {\"cell\": \"n.d.\", \"bbox\": [192, 128, 205, 136]}, {\"cell\": \"pS, TMZ-IFXRT, TMZ 7/14\", \"bbox\": [315, 128, 395, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 136, 22, 144]}, {\"cell\": \"60\", \"bbox\": [41, 136, 50, 144]}, {\"cell\": \"F\", \"bbox\": [70, 136, 76, 144]}, {\"cell\": \"A\", \"bbox\": [102, 136, 109, 144]}, {\"cell\": \"n.d.\", \"bbox\": [192, 136, 205, 144]}, {\"cell\": \"pS, TMZ, TMZ 7/14, WBXRT\", \"bbox\": [312, 136, 399, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 144, 22, 152]}, {\"cell\": \"67\", \"bbox\": [41, 144, 50, 152]}, {\"cell\": \"M\", \"bbox\": [69, 144, 77, 152]}, {\"cell\": \"A\", \"bbox\": [102, 144, 109, 152]}, {\"cell\": \"MGMT ic, mIDH1R132H−, no 1p/19q codeletion\", \"bbox\": [126, 144, 272, 152]}, {\"cell\": \"IFXRT, PCV\", \"bbox\": [337, 144, 373, 152]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5412312_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}187{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>VI</b></td><td><b>VIs</b></td><td><b>VIv</b></td><td><b>bias</b></td><td><b>stdev</b></td><td><b>RMSE</b></td></tr></thead><tbody><tr><td>NDVI</td><td>0.11<i>(histogram)</i></td><td>0.82<i>(histogram)</i></td><td>0.13</td><td>[EMPTY_CELL]</td><td>0.19</td></tr><tr><td>NDVI</td><td>-0.14<i>(minimum)</i></td><td>0.91<i>(maximum)</i></td><td>0.11</td><td>[EMPTY_CELL]</td><td>0.17</td></tr><tr><td>NDVI</td><td>0.11<i>(histogram)</i></td><td>0.91<i>(maximum)</i></td><td>0.04</td><td>[EMPTY_CELL]</td><td>0.13</td></tr><tr><td>NDVI</td><td>0.15<i>(global)</i></td><td>0.90<i>(global)</i></td><td>0.04</td><td>[EMPTY_CELL]</td><td>0.13</td></tr><tr><td>NDVI</td><td>0.08<i>(in situ)</i></td><td>0.98<i>(in situ)</i></td><td>0.00</td><td>[EMPTY_CELL]</td><td>0.13</td></tr><tr><td>GVI</td><td>-0.34<i>(minimum)</i></td><td>0.41<i>(maximum)</i></td><td>-0.11</td><td>[EMPTY_CELL]</td><td>0.16</td></tr><tr><td>GVI</td><td>-0.16<i>(histogram)</i></td><td>0.41<i>(maximum)</i></td><td>-0.25</td><td>[EMPTY_CELL]</td><td>0.27</td></tr><tr><td>GVI</td><td>-0.33<i>(in situ)</i></td><td>0.28<i>(in situ)</i></td><td>0.00</td><td>[EMPTY_CELL]</td><td>0.11</td></tr><tr><td>VARIgreen</td><td>-0.36<i>(minimum)</i></td><td>0.54<i>(maximum)</i></td><td>-0.04</td><td>[EMPTY_CELL]</td><td>0.08</td></tr><tr><td>VARIgreen</td><td>-0.31<i>(histogram)</i></td><td>0.54<i>(maximum)</i></td><td>-0.06</td><td>[EMPTY_CELL]</td><td>0.10</td></tr><tr><td>VARIgreen</td><td>-0.38<i>(in situ)</i></td><td>0.50<i>(in situ)</i></td><td>0.00</td><td>[EMPTY_CELL]</td><td>0.08</td></tr><tr><td>GBVI</td><td>-0.45<i>(minimum)</i></td><td>0.49<i>(maximum)</i></td><td>-0.08</td><td>[EMPTY_CELL]</td><td>0.13</td></tr><tr><td>GBVI</td><td>-0.24<i>(histogram)</i></td><td>0.49<i>(maximum)</i></td><td>-0.20</td><td>[EMPTY_CELL]</td><td>0.22</td></tr><tr><td>GBVI</td><td>-0.44<i>(in situ)</i></td><td>0.38<i>(in situ)</i></td><td>0.00</td><td>[EMPTY_CELL]</td><td>0.11</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>VI</b>\", \"bbox\": [25, 5, 40, 21]}, {\"cell\": \"<b>VIs</b>\", \"bbox\": [112, 5, 132, 21]}, {\"cell\": \"<b>VIv</b>\", \"bbox\": [232, 5, 253, 21]}, {\"cell\": \"<b>bias</b>\", \"bbox\": [321, 5, 344, 21]}, {\"cell\": \"<b>stdev</b>\", \"bbox\": [378, 5, 407, 21]}, {\"cell\": \"<b>RMSE</b>\", \"bbox\": [434, 5, 471, 21]}, {\"cell\": \"NDVI\", \"bbox\": [16, 27, 48, 43]}, {\"cell\": \"0.11<i>(histogram)</i>\", \"bbox\": [93, 20, 152, 50]}, {\"cell\": \"0.82<i>(histogram)</i>\", \"bbox\": [213, 20, 272, 50]}, {\"cell\": \"0.13\", \"bbox\": [321, 27, 344, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 27, 404, 43]}, {\"cell\": \"0.19\", \"bbox\": [441, 27, 464, 43]}, {\"cell\": \"NDVI\", \"bbox\": [16, 56, 48, 71]}, {\"cell\": \"-0.14<i>(minimum)</i>\", \"bbox\": [95, 49, 150, 78]}, {\"cell\": \"0.91<i>(maximum)</i>\", \"bbox\": [214, 49, 271, 78]}, {\"cell\": \"0.11\", \"bbox\": [321, 56, 344, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 56, 404, 71]}, {\"cell\": \"0.17\", \"bbox\": [441, 56, 464, 71]}, {\"cell\": \"NDVI\", \"bbox\": [16, 85, 48, 100]}, {\"cell\": \"0.11<i>(histogram)</i>\", \"bbox\": [93, 78, 152, 107]}, {\"cell\": \"0.91<i>(maximum)</i>\", \"bbox\": [214, 78, 271, 107]}, {\"cell\": \"0.04\", \"bbox\": [321, 85, 344, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 85, 404, 100]}, {\"cell\": \"0.13\", \"bbox\": [441, 85, 464, 100]}, {\"cell\": \"NDVI\", \"bbox\": [16, 113, 48, 129]}, {\"cell\": \"0.15<i>(global)</i>\", \"bbox\": [102, 106, 143, 136]}, {\"cell\": \"0.90<i>(global)</i>\", \"bbox\": [222, 106, 263, 136]}, {\"cell\": \"0.04\", \"bbox\": [321, 113, 344, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 113, 404, 129]}, {\"cell\": \"0.13\", \"bbox\": [441, 113, 464, 129]}, {\"cell\": \"NDVI\", \"bbox\": [16, 142, 48, 157]}, {\"cell\": \"0.08<i>(in situ)</i>\", \"bbox\": [103, 135, 142, 164]}, {\"cell\": \"0.98<i>(in situ)</i>\", \"bbox\": [223, 135, 262, 164]}, {\"cell\": \"0.00\", \"bbox\": [321, 142, 344, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 142, 404, 157]}, {\"cell\": \"0.13\", \"bbox\": [441, 142, 464, 157]}, {\"cell\": \"GVI\", \"bbox\": [21, 171, 44, 186]}, {\"cell\": \"-0.34<i>(minimum)</i>\", \"bbox\": [95, 164, 150, 193]}, {\"cell\": \"0.41<i>(maximum)</i>\", \"bbox\": [214, 164, 271, 193]}, {\"cell\": \"-0.11\", \"bbox\": [319, 171, 346, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 171, 404, 186]}, {\"cell\": \"0.16\", \"bbox\": [441, 171, 464, 186]}, {\"cell\": \"GVI\", \"bbox\": [21, 200, 44, 215]}, {\"cell\": \"-0.16<i>(histogram)</i>\", \"bbox\": [93, 193, 152, 222]}, {\"cell\": \"0.41<i>(maximum)</i>\", \"bbox\": [214, 193, 271, 222]}, {\"cell\": \"-0.25\", \"bbox\": [319, 200, 346, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 200, 404, 215]}, {\"cell\": \"0.27\", \"bbox\": [441, 200, 464, 215]}, {\"cell\": \"GVI\", \"bbox\": [21, 228, 44, 244]}, {\"cell\": \"-0.33<i>(in situ)</i>\", \"bbox\": [103, 221, 142, 251]}, {\"cell\": \"0.28<i>(in situ)</i>\", \"bbox\": [223, 221, 262, 251]}, {\"cell\": \"0.00\", \"bbox\": [321, 228, 344, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 228, 404, 244]}, {\"cell\": \"0.11\", \"bbox\": [441, 228, 464, 244]}, {\"cell\": \"VARIgreen\", \"bbox\": [3, 257, 61, 273]}, {\"cell\": \"-0.36<i>(minimum)</i>\", \"bbox\": [95, 250, 150, 280]}, {\"cell\": \"0.54<i>(maximum)</i>\", \"bbox\": [214, 250, 271, 280]}, {\"cell\": \"-0.04\", \"bbox\": [319, 257, 346, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 257, 404, 273]}, {\"cell\": \"0.08\", \"bbox\": [441, 257, 464, 273]}, {\"cell\": \"VARIgreen\", \"bbox\": [3, 286, 61, 301]}, {\"cell\": \"-0.31<i>(histogram)</i>\", \"bbox\": [93, 279, 152, 308]}, {\"cell\": \"0.54<i>(maximum)</i>\", \"bbox\": [214, 279, 271, 308]}, {\"cell\": \"-0.06\", \"bbox\": [319, 286, 346, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 286, 404, 301]}, {\"cell\": \"0.10\", \"bbox\": [441, 286, 464, 301]}, {\"cell\": \"VARIgreen\", \"bbox\": [3, 315, 61, 330]}, {\"cell\": \"-0.38<i>(in situ)</i>\", \"bbox\": [102, 308, 142, 337]}, {\"cell\": \"0.50<i>(in situ)</i>\", \"bbox\": [222, 308, 262, 337]}, {\"cell\": \"0.00\", \"bbox\": [321, 315, 344, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 315, 404, 330]}, {\"cell\": \"0.08\", \"bbox\": [441, 315, 464, 330]}, {\"cell\": \"GBVI\", \"bbox\": [17, 344, 48, 359]}, {\"cell\": \"-0.45<i>(minimum)</i>\", \"bbox\": [95, 337, 150, 366]}, {\"cell\": \"0.49<i>(maximum)</i>\", \"bbox\": [214, 337, 271, 366]}, {\"cell\": \"-0.08\", \"bbox\": [319, 344, 346, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 344, 404, 359]}, {\"cell\": \"0.13\", \"bbox\": [441, 344, 464, 359]}, {\"cell\": \"GBVI\", \"bbox\": [17, 372, 48, 388]}, {\"cell\": \"-0.24<i>(histogram)</i>\", \"bbox\": [93, 365, 152, 395]}, {\"cell\": \"0.49<i>(maximum)</i>\", \"bbox\": [214, 365, 271, 395]}, {\"cell\": \"-0.20\", \"bbox\": [319, 372, 346, 388]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 372, 404, 388]}, {\"cell\": \"0.22\", \"bbox\": [441, 372, 464, 388]}, {\"cell\": \"GBVI\", \"bbox\": [17, 401, 48, 416]}, {\"cell\": \"-0.44<i>(in situ)</i>\", \"bbox\": [102, 394, 142, 423]}, {\"cell\": \"0.38<i>(in situ)</i>\", \"bbox\": [222, 394, 262, 423]}, {\"cell\": \"0.00\", \"bbox\": [321, 401, 344, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 401, 404, 416]}, {\"cell\": \"0.11\", \"bbox\": [441, 401, 464, 416]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3280830_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}188{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>FARMS target</b></td><td><b>Estimate</b></td><td><b>SE</b></td><td><b><i>t</i> value</b></td><td><b>Pr(>|<i>t</i>|)</b></td><td><b>Significance<sup><i>a</i></sup></b></td></tr></thead><tbody><tr><td>Intercept</td><td>−7.73E+01</td><td>2.51E+02</td><td>[EMPTY_CELL]</td><td>0.759395</td><td>[EMPTY_CELL]</td></tr><tr><td>ACVR2A</td><td>−7.76E−02</td><td>5.97E−03</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>BMP2</td><td>−6.18E−01</td><td>3.59E−02</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>BMP3</td><td>1.26E−01</td><td>1.78E−02</td><td>[EMPTY_CELL]</td><td>2.93E−09</td><td>***</td></tr><tr><td>CCL13_hu</td><td>4.51E−02</td><td>3.75E−03</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>CCL13_X</td><td>−8.38E−02</td><td>2.89E−02</td><td>[EMPTY_CELL]</td><td>0.005339</td><td>**</td></tr><tr><td>CCL20</td><td>1.81E−02</td><td>5.28E−03</td><td>[EMPTY_CELL]</td><td>0.001163</td><td>**</td></tr><tr><td>CCL21</td><td>1.88E−02</td><td>9.03E−03</td><td>[EMPTY_CELL]</td><td>0.042505</td><td>*</td></tr><tr><td>CLEC11A</td><td>−6.96E−02</td><td>4.56E−03</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>CNTNAP1</td><td>−5.49E−01</td><td>2.84E−02</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>COL18A1</td><td>−3.39E−01</td><td>2.65E−02</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>CSF1</td><td>−1.11E−02</td><td>3.56E−03</td><td>[EMPTY_CELL]</td><td>0.002820</td><td>**</td></tr><tr><td>CST3</td><td>−1.07E−02</td><td>3.47E−03</td><td>[EMPTY_CELL]</td><td>0.003287</td><td>**</td></tr><tr><td>CTF1</td><td>−3.50E−02</td><td>8.50E−03</td><td>[EMPTY_CELL]</td><td>0.000138</td><td>***</td></tr><tr><td>CXCL16</td><td>5.31E−01</td><td>3.73E−02</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>FGF17</td><td>4.23E−02</td><td>4.06E−03</td><td>[EMPTY_CELL]</td><td>1.95E−14</td><td>***</td></tr><tr><td>FGF3_hu</td><td>2.22E−01</td><td>4.81E−02</td><td>[EMPTY_CELL]</td><td>2.52E−05</td><td>***</td></tr><tr><td>FTL_hu</td><td>−2.75E−02</td><td>6.59E−03</td><td>[EMPTY_CELL]</td><td>0.000111</td><td>***</td></tr><tr><td>GRN_X</td><td>3.59E−01</td><td>3.02E−02</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>HCRT</td><td>6.85E−02</td><td>4.42E−03</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>ICAM2</td><td>2.76E−02</td><td>3.57E−03</td><td>[EMPTY_CELL]</td><td>3.00E−10</td><td>***</td></tr><tr><td>IL-12A</td><td>6.05E−02</td><td>1.99E−02</td><td>[EMPTY_CELL]</td><td>0.003665</td><td>**</td></tr><tr><td>IL-17D</td><td>−2.49E−02</td><td>5.40E−03</td><td>[EMPTY_CELL]</td><td>2.54E−05</td><td>***</td></tr><tr><td>LTA</td><td>6.29E+00</td><td>3.26E−01</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>MMP25</td><td>−5.85E−01</td><td>9.19E−02</td><td>[EMPTY_CELL]</td><td>4.69E−08</td><td>***</td></tr><tr><td>NGFR</td><td>−8.52E−03</td><td>4.98E−03</td><td>[EMPTY_CELL]</td><td>0.093029</td><td>·</td></tr><tr><td>NLGN1_hu</td><td>−4.77E−01</td><td>2.24E−01</td><td>[EMPTY_CELL]</td><td>0.038236</td><td>*</td></tr><tr><td>NLGN1_X</td><td>−1.19E−01</td><td>4.10E−02</td><td>[EMPTY_CELL]</td><td>0.005486</td><td>**</td></tr><tr><td>NLGN4X</td><td>1.26E−01</td><td>2.50E−02</td><td>[EMPTY_CELL]</td><td>5.58E−06</td><td>***</td></tr><tr><td>NOG_hu</td><td>−9.37E−01</td><td>4.56E−02</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>NOG_X</td><td>−4.50E−01</td><td>1.34E−01</td><td>[EMPTY_CELL]</td><td>0.001469</td><td>**</td></tr><tr><td>NPY_X</td><td>3.47E+00</td><td>2.24E−01</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>NRG1_hu</td><td>7.93E−02</td><td>8.80E−03</td><td>[EMPTY_CELL]</td><td>2.80E−12</td><td>***</td></tr><tr><td>SERPING1</td><td>1.02E−01</td><td>8.17E−03</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>SIGIRR</td><td>3.24E−02</td><td>4.02E−03</td><td>[EMPTY_CELL]</td><td>8.65E−11</td><td>***</td></tr><tr><td>SLC2A1</td><td>−2.15E−01</td><td>2.08E−02</td><td>[EMPTY_CELL]</td><td>2.30E−14</td><td>***</td></tr><tr><td>SORL1_hu</td><td>1.08E+00</td><td>1.86E−01</td><td>[EMPTY_CELL]</td><td>3.82E−07</td><td>***</td></tr><tr><td>SPARC_hu1</td><td>−5.85E−02</td><td>8.72E−03</td><td>[EMPTY_CELL]</td><td>1.31E−08</td><td>***</td></tr><tr><td>SPARC_hu2</td><td>−5.92E−01</td><td>8.40E−02</td><td>[EMPTY_CELL]</td><td>3.84E−09</td><td>***</td></tr><tr><td>THBS4</td><td>2.05E−01</td><td>3.93E−02</td><td>[EMPTY_CELL]</td><td>2.98E−06</td><td>***</td></tr><tr><td>TIE1</td><td>−6.15E−02</td><td>8.83E−03</td><td>[EMPTY_CELL]</td><td>5.22E−09</td><td>***</td></tr><tr><td>VEGFC</td><td>−1.39E+00</td><td>9.69E−02</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr><tr><td>WIF1</td><td>1.74E−01</td><td>1.44E−02</td><td>[EMPTY_CELL]</td><td><2.E−16</td><td>***</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>FARMS target</b>\", \"bbox\": [1, 5, 51, 15]}, {\"cell\": \"<b>Estimate</b>\", \"bbox\": [69, 5, 101, 15]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [129, 5, 139, 15]}, {\"cell\": \"<b><i>t</i> value</b>\", \"bbox\": [182, 5, 208, 15]}, {\"cell\": \"<b>Pr(>|<i>t</i>|)</b>\", \"bbox\": [231, 5, 258, 15]}, {\"cell\": \"<b>Significance<sup><i>a</i></sup></b>\", \"bbox\": [284, 5, 331, 15]}, {\"cell\": \"Intercept\", \"bbox\": [1, 16, 33, 26]}, {\"cell\": \"−7.73E+01\", \"bbox\": [69, 16, 111, 26]}, {\"cell\": \"2.51E+02\", \"bbox\": [129, 16, 163, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 16, 208, 26]}, {\"cell\": \"0.759395\", \"bbox\": [231, 16, 263, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ACVR2A\", \"bbox\": [1, 26, 30, 35]}, {\"cell\": \"−7.76E−02\", \"bbox\": [69, 26, 111, 35]}, {\"cell\": \"5.97E−03\", \"bbox\": [129, 26, 163, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 26, 213, 35]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 26, 264, 35]}, {\"cell\": \"***\", \"bbox\": [284, 26, 295, 34]}, {\"cell\": \"BMP2\", \"bbox\": [1, 35, 22, 45]}, {\"cell\": \"−6.18E−01\", \"bbox\": [69, 35, 111, 45]}, {\"cell\": \"3.59E−02\", \"bbox\": [129, 35, 163, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 35, 213, 45]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 35, 264, 45]}, {\"cell\": \"***\", \"bbox\": [284, 35, 295, 43]}, {\"cell\": \"BMP3\", \"bbox\": [1, 45, 22, 54]}, {\"cell\": \"1.26E−01\", \"bbox\": [69, 45, 104, 54]}, {\"cell\": \"1.78E−02\", \"bbox\": [129, 45, 163, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 45, 202, 54]}, {\"cell\": \"2.93E−09\", \"bbox\": [231, 45, 265, 54]}, {\"cell\": \"***\", \"bbox\": [284, 45, 295, 53]}, {\"cell\": \"CCL13_hu\", \"bbox\": [1, 54, 37, 64]}, {\"cell\": \"4.51E−02\", \"bbox\": [69, 54, 104, 64]}, {\"cell\": \"3.75E−03\", \"bbox\": [129, 54, 163, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 54, 206, 64]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 54, 264, 64]}, {\"cell\": \"***\", \"bbox\": [284, 54, 295, 62]}, {\"cell\": \"CCL13_X\", \"bbox\": [1, 64, 32, 73]}, {\"cell\": \"−8.38E−02\", \"bbox\": [69, 64, 111, 73]}, {\"cell\": \"2.89E−02\", \"bbox\": [129, 64, 163, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 64, 208, 73]}, {\"cell\": \"0.005339\", \"bbox\": [231, 64, 263, 73]}, {\"cell\": \"**\", \"bbox\": [284, 64, 292, 72]}, {\"cell\": \"CCL20\", \"bbox\": [1, 73, 24, 83]}, {\"cell\": \"1.81E−02\", \"bbox\": [69, 73, 104, 83]}, {\"cell\": \"5.28E−03\", \"bbox\": [129, 73, 163, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 73, 202, 83]}, {\"cell\": \"0.001163\", \"bbox\": [231, 73, 263, 83]}, {\"cell\": \"**\", \"bbox\": [284, 73, 292, 81]}, {\"cell\": \"CCL21\", \"bbox\": [1, 83, 24, 92]}, {\"cell\": \"1.88E−02\", \"bbox\": [69, 83, 104, 92]}, {\"cell\": \"9.03E−03\", \"bbox\": [129, 83, 163, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 83, 202, 92]}, {\"cell\": \"0.042505\", \"bbox\": [231, 83, 263, 92]}, {\"cell\": \"*\", \"bbox\": [284, 83, 289, 91]}, {\"cell\": \"CLEC11A\", \"bbox\": [1, 92, 33, 102]}, {\"cell\": \"−6.96E−02\", \"bbox\": [69, 92, 111, 102]}, {\"cell\": \"4.56E−03\", \"bbox\": [129, 92, 163, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 92, 213, 102]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 92, 264, 102]}, {\"cell\": \"***\", \"bbox\": [284, 92, 295, 100]}, {\"cell\": \"CNTNAP1\", \"bbox\": [1, 102, 35, 111]}, {\"cell\": \"−5.49E−01\", \"bbox\": [69, 102, 111, 111]}, {\"cell\": \"2.84E−02\", \"bbox\": [129, 102, 163, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 102, 213, 111]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 102, 264, 111]}, {\"cell\": \"***\", \"bbox\": [284, 102, 295, 110]}, {\"cell\": \"COL18A1\", \"bbox\": [1, 111, 34, 121]}, {\"cell\": \"−3.39E−01\", \"bbox\": [69, 111, 111, 121]}, {\"cell\": \"2.65E−02\", \"bbox\": [129, 111, 163, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 111, 213, 121]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 111, 264, 121]}, {\"cell\": \"***\", \"bbox\": [284, 111, 295, 119]}, {\"cell\": \"CSF1\", \"bbox\": [1, 121, 19, 130]}, {\"cell\": \"−1.11E−02\", \"bbox\": [69, 121, 111, 130]}, {\"cell\": \"3.56E−03\", \"bbox\": [129, 121, 163, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 121, 208, 130]}, {\"cell\": \"0.002820\", \"bbox\": [231, 121, 263, 130]}, {\"cell\": \"**\", \"bbox\": [284, 121, 292, 129]}, {\"cell\": \"CST3\", \"bbox\": [1, 130, 19, 140]}, {\"cell\": \"−1.07E−02\", \"bbox\": [69, 130, 111, 140]}, {\"cell\": \"3.47E−03\", \"bbox\": [129, 130, 163, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 130, 208, 140]}, {\"cell\": \"0.003287\", \"bbox\": [231, 130, 263, 140]}, {\"cell\": \"**\", \"bbox\": [284, 130, 292, 138]}, {\"cell\": \"CTF1\", \"bbox\": [1, 140, 19, 149]}, {\"cell\": \"−3.50E−02\", \"bbox\": [69, 140, 111, 149]}, {\"cell\": \"8.50E−03\", \"bbox\": [129, 140, 163, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 140, 208, 149]}, {\"cell\": \"0.000138\", \"bbox\": [231, 140, 263, 149]}, {\"cell\": \"***\", \"bbox\": [284, 140, 295, 148]}, {\"cell\": \"CXCL16\", \"bbox\": [1, 149, 28, 159]}, {\"cell\": \"5.31E−01\", \"bbox\": [69, 149, 104, 159]}, {\"cell\": \"3.73E−02\", \"bbox\": [129, 149, 163, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 149, 206, 159]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 149, 264, 159]}, {\"cell\": \"***\", \"bbox\": [284, 149, 295, 157]}, {\"cell\": \"FGF17\", \"bbox\": [1, 159, 24, 168]}, {\"cell\": \"4.23E−02\", \"bbox\": [69, 159, 104, 168]}, {\"cell\": \"4.06E−03\", \"bbox\": [129, 159, 163, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 159, 206, 168]}, {\"cell\": \"1.95E−14\", \"bbox\": [231, 159, 265, 168]}, {\"cell\": \"***\", \"bbox\": [284, 159, 295, 167]}, {\"cell\": \"FGF3_hu\", \"bbox\": [1, 168, 32, 178]}, {\"cell\": \"2.22E−01\", \"bbox\": [69, 168, 104, 178]}, {\"cell\": \"4.81E−02\", \"bbox\": [129, 168, 163, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 168, 202, 178]}, {\"cell\": \"2.52E−05\", \"bbox\": [231, 168, 265, 178]}, {\"cell\": \"***\", \"bbox\": [284, 168, 295, 176]}, {\"cell\": \"FTL_hu\", \"bbox\": [1, 178, 27, 187]}, {\"cell\": \"−2.75E−02\", \"bbox\": [69, 178, 111, 187]}, {\"cell\": \"6.59E−03\", \"bbox\": [129, 178, 163, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 178, 208, 187]}, {\"cell\": \"0.000111\", \"bbox\": [231, 178, 263, 187]}, {\"cell\": \"***\", \"bbox\": [284, 178, 295, 186]}, {\"cell\": \"GRN_X\", \"bbox\": [1, 187, 26, 197]}, {\"cell\": \"3.59E−01\", \"bbox\": [69, 187, 104, 197]}, {\"cell\": \"3.02E−02\", \"bbox\": [129, 187, 163, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 187, 206, 197]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 187, 264, 197]}, {\"cell\": \"***\", \"bbox\": [284, 187, 295, 195]}, {\"cell\": \"HCRT\", \"bbox\": [1, 197, 21, 206]}, {\"cell\": \"6.85E−02\", \"bbox\": [69, 197, 104, 206]}, {\"cell\": \"4.42E−03\", \"bbox\": [129, 197, 163, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 197, 206, 206]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 197, 264, 206]}, {\"cell\": \"***\", \"bbox\": [284, 197, 295, 205]}, {\"cell\": \"ICAM2\", \"bbox\": [1, 206, 24, 216]}, {\"cell\": \"2.76E−02\", \"bbox\": [69, 206, 104, 216]}, {\"cell\": \"3.57E−03\", \"bbox\": [129, 206, 163, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 206, 202, 216]}, {\"cell\": \"3.00E−10\", \"bbox\": [231, 206, 265, 216]}, {\"cell\": \"***\", \"bbox\": [284, 206, 295, 214]}, {\"cell\": \"IL-12A\", \"bbox\": [1, 216, 24, 225]}, {\"cell\": \"6.05E−02\", \"bbox\": [69, 216, 104, 225]}, {\"cell\": \"1.99E−02\", \"bbox\": [129, 216, 163, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 216, 202, 225]}, {\"cell\": \"0.003665\", \"bbox\": [231, 216, 263, 225]}, {\"cell\": \"**\", \"bbox\": [284, 216, 292, 224]}, {\"cell\": \"IL-17D\", \"bbox\": [0, 225, 24, 235]}, {\"cell\": \"−2.49E−02\", \"bbox\": [69, 225, 111, 235]}, {\"cell\": \"5.40E−03\", \"bbox\": [129, 225, 163, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 225, 208, 235]}, {\"cell\": \"2.54E−05\", \"bbox\": [231, 225, 265, 235]}, {\"cell\": \"***\", \"bbox\": [284, 225, 295, 233]}, {\"cell\": \"LTA\", \"bbox\": [1, 235, 15, 244]}, {\"cell\": \"6.29E+00\", \"bbox\": [69, 235, 104, 244]}, {\"cell\": \"3.26E−01\", \"bbox\": [129, 235, 163, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 235, 206, 244]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 235, 264, 244]}, {\"cell\": \"***\", \"bbox\": [284, 235, 295, 243]}, {\"cell\": \"MMP25\", \"bbox\": [0, 244, 28, 254]}, {\"cell\": \"−5.85E−01\", \"bbox\": [69, 244, 111, 254]}, {\"cell\": \"9.19E−02\", \"bbox\": [129, 244, 163, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 244, 208, 254]}, {\"cell\": \"4.69E−08\", \"bbox\": [231, 244, 265, 254]}, {\"cell\": \"***\", \"bbox\": [284, 244, 295, 252]}, {\"cell\": \"NGFR\", \"bbox\": [1, 254, 21, 263]}, {\"cell\": \"−8.52E−03\", \"bbox\": [69, 254, 111, 263]}, {\"cell\": \"4.98E−03\", \"bbox\": [129, 254, 163, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 254, 208, 263]}, {\"cell\": \"0.093029\", \"bbox\": [231, 254, 263, 263]}, {\"cell\": \"·\", \"bbox\": [284, 254, 287, 263]}, {\"cell\": \"NLGN1_hu\", \"bbox\": [1, 263, 39, 273]}, {\"cell\": \"−4.77E−01\", \"bbox\": [69, 263, 111, 273]}, {\"cell\": \"2.24E−01\", \"bbox\": [129, 263, 163, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 263, 208, 273]}, {\"cell\": \"0.038236\", \"bbox\": [231, 263, 263, 273]}, {\"cell\": \"*\", \"bbox\": [284, 263, 289, 271]}, {\"cell\": \"NLGN1_X\", \"bbox\": [1, 273, 35, 282]}, {\"cell\": \"−1.19E−01\", \"bbox\": [69, 273, 111, 282]}, {\"cell\": \"4.10E−02\", \"bbox\": [129, 273, 163, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 273, 208, 282]}, {\"cell\": \"0.005486\", \"bbox\": [231, 273, 263, 282]}, {\"cell\": \"**\", \"bbox\": [284, 273, 292, 281]}, {\"cell\": \"NLGN4X\", \"bbox\": [1, 282, 31, 292]}, {\"cell\": \"1.26E−01\", \"bbox\": [69, 282, 104, 292]}, {\"cell\": \"2.50E−02\", \"bbox\": [129, 282, 163, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 282, 202, 292]}, {\"cell\": \"5.58E−06\", \"bbox\": [231, 282, 265, 292]}, {\"cell\": \"***\", \"bbox\": [284, 282, 295, 290]}, {\"cell\": \"NOG_hu\", \"bbox\": [1, 292, 31, 301]}, {\"cell\": \"−9.37E−01\", \"bbox\": [69, 292, 111, 301]}, {\"cell\": \"4.56E−02\", \"bbox\": [129, 292, 163, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 292, 213, 301]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 292, 264, 301]}, {\"cell\": \"***\", \"bbox\": [284, 292, 295, 300]}, {\"cell\": \"NOG_X\", \"bbox\": [1, 301, 27, 311]}, {\"cell\": \"−4.50E−01\", \"bbox\": [69, 301, 111, 311]}, {\"cell\": \"1.34E−01\", \"bbox\": [129, 301, 163, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 301, 208, 311]}, {\"cell\": \"0.001469\", \"bbox\": [231, 301, 263, 311]}, {\"cell\": \"**\", \"bbox\": [284, 301, 292, 309]}, {\"cell\": \"NPY_X\", \"bbox\": [1, 311, 25, 320]}, {\"cell\": \"3.47E+00\", \"bbox\": [69, 311, 104, 320]}, {\"cell\": \"2.24E−01\", \"bbox\": [129, 311, 163, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 311, 206, 320]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 311, 264, 320]}, {\"cell\": \"***\", \"bbox\": [284, 311, 295, 319]}, {\"cell\": \"NRG1_hu\", \"bbox\": [1, 320, 34, 330]}, {\"cell\": \"7.93E−02\", \"bbox\": [69, 320, 104, 330]}, {\"cell\": \"8.80E−03\", \"bbox\": [129, 320, 163, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 320, 202, 330]}, {\"cell\": \"2.80E−12\", \"bbox\": [231, 320, 265, 330]}, {\"cell\": \"***\", \"bbox\": [284, 320, 295, 328]}, {\"cell\": \"SERPING1\", \"bbox\": [0, 330, 35, 339]}, {\"cell\": \"1.02E−01\", \"bbox\": [69, 330, 104, 339]}, {\"cell\": \"8.17E−03\", \"bbox\": [129, 330, 163, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 330, 206, 339]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 330, 264, 339]}, {\"cell\": \"***\", \"bbox\": [284, 330, 295, 338]}, {\"cell\": \"SIGIRR\", \"bbox\": [0, 339, 24, 349]}, {\"cell\": \"3.24E−02\", \"bbox\": [69, 339, 104, 349]}, {\"cell\": \"4.02E−03\", \"bbox\": [129, 339, 163, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 339, 202, 349]}, {\"cell\": \"8.65E−11\", \"bbox\": [231, 339, 265, 349]}, {\"cell\": \"***\", \"bbox\": [284, 339, 295, 347]}, {\"cell\": \"SLC2A1\", \"bbox\": [0, 349, 28, 358]}, {\"cell\": \"−2.15E−01\", \"bbox\": [69, 349, 111, 358]}, {\"cell\": \"2.08E−02\", \"bbox\": [129, 349, 163, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 349, 213, 358]}, {\"cell\": \"2.30E−14\", \"bbox\": [231, 349, 265, 358]}, {\"cell\": \"***\", \"bbox\": [284, 349, 295, 357]}, {\"cell\": \"SORL1_hu\", \"bbox\": [0, 358, 37, 368]}, {\"cell\": \"1.08E+00\", \"bbox\": [69, 358, 104, 368]}, {\"cell\": \"1.86E−01\", \"bbox\": [129, 358, 163, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 358, 202, 368]}, {\"cell\": \"3.82E−07\", \"bbox\": [231, 358, 265, 368]}, {\"cell\": \"***\", \"bbox\": [284, 358, 295, 366]}, {\"cell\": \"SPARC_hu1\", \"bbox\": [0, 368, 41, 377]}, {\"cell\": \"−5.85E−02\", \"bbox\": [69, 368, 111, 377]}, {\"cell\": \"8.72E−03\", \"bbox\": [129, 368, 163, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 368, 208, 377]}, {\"cell\": \"1.31E−08\", \"bbox\": [231, 368, 265, 377]}, {\"cell\": \"***\", \"bbox\": [284, 368, 295, 376]}, {\"cell\": \"SPARC_hu2\", \"bbox\": [0, 377, 41, 387]}, {\"cell\": \"−5.92E−01\", \"bbox\": [69, 377, 111, 387]}, {\"cell\": \"8.40E−02\", \"bbox\": [129, 377, 163, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 377, 208, 387]}, {\"cell\": \"3.84E−09\", \"bbox\": [231, 377, 265, 387]}, {\"cell\": \"***\", \"bbox\": [284, 377, 295, 385]}, {\"cell\": \"THBS4\", \"bbox\": [0, 387, 24, 396]}, {\"cell\": \"2.05E−01\", \"bbox\": [69, 387, 104, 396]}, {\"cell\": \"3.93E−02\", \"bbox\": [129, 387, 163, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 387, 202, 396]}, {\"cell\": \"2.98E−06\", \"bbox\": [231, 387, 265, 396]}, {\"cell\": \"***\", \"bbox\": [284, 387, 295, 395]}, {\"cell\": \"TIE1\", \"bbox\": [0, 396, 16, 406]}, {\"cell\": \"−6.15E−02\", \"bbox\": [69, 396, 111, 406]}, {\"cell\": \"8.83E−03\", \"bbox\": [129, 396, 163, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 396, 208, 406]}, {\"cell\": \"5.22E−09\", \"bbox\": [231, 396, 265, 406]}, {\"cell\": \"***\", \"bbox\": [284, 396, 295, 404]}, {\"cell\": \"VEGFC\", \"bbox\": [1, 406, 25, 415]}, {\"cell\": \"−1.39E+00\", \"bbox\": [69, 406, 111, 415]}, {\"cell\": \"9.69E−02\", \"bbox\": [129, 406, 163, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 406, 213, 415]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 406, 264, 415]}, {\"cell\": \"***\", \"bbox\": [284, 406, 295, 414]}, {\"cell\": \"WIF1\", \"bbox\": [1, 415, 19, 425]}, {\"cell\": \"1.74E−01\", \"bbox\": [69, 415, 104, 425]}, {\"cell\": \"1.44E−02\", \"bbox\": [129, 415, 163, 425]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 415, 206, 425]}, {\"cell\": \"<2.E−16\", \"bbox\": [231, 415, 264, 425]}, {\"cell\": \"***\", \"bbox\": [284, 415, 295, 423]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5533920_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}189{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>no NAFLD (n = 244)</b></td><td><b>NAFLD (n = 251)</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td>Age *</td><td>54.98 (10.22)</td><td>53.85 (9.83)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total testosterone (ng/mL)</td><td>4.83 (3.73–5.96)</td><td>3.94 (3.10–4.85)</td><td>[EMPTY_CELL]</td></tr><tr><td>Smoking †</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>non-smoker</td><td>72 (29.51)</td><td>59 (23.51)</td><td>[EMPTY_CELL]</td></tr><tr><td>ex-smoker</td><td>110 (45.08)</td><td>125 (49.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>current smoker</td><td>62 (25.41)</td><td>67 (26.69)</td><td>[EMPTY_CELL]</td></tr><tr><td>drinking amount (g/week)</td><td>21.04 (0–71.01)</td><td>8.53 (0–59.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Exercise †</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>yes</td><td>193 (79.1)</td><td>174 (69.32)</td><td>[EMPTY_CELL]</td></tr><tr><td>WC (cm)</td><td>85 (81–89.9)</td><td>91.5 (88–95.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>23.56 (22.13–25.10)</td><td>26.14 (24.38–27.78)</td><td>[EMPTY_CELL]</td></tr><tr><td>VAT (cm<sup>2</sup>)</td><td>106.74 (80.62–142.86)</td><td>164.79 (135.97–197.95)</td><td>[EMPTY_CELL]</td></tr><tr><td>Diabetes †</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>yes</td><td>30 (12.30)</td><td>68 (27.09)</td><td>[EMPTY_CELL]</td></tr><tr><td>FBS (mg/dL)</td><td>96 (90–103)</td><td>101 (93–114)</td><td>[EMPTY_CELL]</td></tr><tr><td>SBP (mmHg) *</td><td>118.97 (13.02)</td><td>122.44 (13.86)</td><td>[EMPTY_CELL]</td></tr><tr><td>DBP (mmHg) *</td><td>79.15 (9.81)</td><td>80.83 (10.94)</td><td>[EMPTY_CELL]</td></tr><tr><td>total cholesterol (mg/dL) *</td><td>196.27 (34.46)</td><td>199.79 (37.10)</td><td>[EMPTY_CELL]</td></tr><tr><td>TGs (mg/dL)</td><td>95 (71–130)</td><td>140 (99–195)</td><td>[EMPTY_CELL]</td></tr><tr><td>HDL-C (mg/dL)</td><td>51 (44–59)</td><td>44 (40–51)</td><td>[EMPTY_CELL]</td></tr><tr><td>LDL-C (mg/dL) *</td><td>125.51 (33.43)</td><td>130.18 (33.26)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total bilirubin (mg/dL)</td><td>1.1 (0.85–1.3)</td><td>1.1 (0.9–1.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>ALP (IU/L)</td><td>59 (49.5–69)</td><td>62 (52–72)</td><td>[EMPTY_CELL]</td></tr><tr><td>AST (IU/L)</td><td>22 (19–27)</td><td>26 (22–33)</td><td>[EMPTY_CELL]</td></tr><tr><td>ALT (IU/L)</td><td>22 (17–30)</td><td>33 (24–49)</td><td>[EMPTY_CELL]</td></tr><tr><td>γ-GT (IU/L)</td><td>27 (20–39)</td><td>34 (26–49)</td><td>[EMPTY_CELL]</td></tr><tr><td>hs-CRP (mg/dL)</td><td>0.04 (0.04–0.15)</td><td>0.09 (0.03–0.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>HOMA-IR (mg/dL)</td><td>1.76 (1.33–2.29)</td><td>2.67 (1.96–3.48)</td><td>[EMPTY_CELL]</td></tr><tr><td>Metabolic syndrome †</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>yes</td><td>41 (16.80)</td><td>130 (51.79)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>no NAFLD (n = 244)</b>\", \"bbox\": [162, 4, 231, 13]}, {\"cell\": \"<b>NAFLD (n = 251)</b>\", \"bbox\": [306, 4, 363, 13]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [453, 4, 481, 13]}, {\"cell\": \"Age *\", \"bbox\": [1, 17, 21, 27]}, {\"cell\": \"54.98 (10.22)\", \"bbox\": [162, 17, 204, 27]}, {\"cell\": \"53.85 (9.83)\", \"bbox\": [306, 17, 344, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 17, 476, 27]}, {\"cell\": \"Total testosterone (ng/mL)\", \"bbox\": [1, 31, 88, 41]}, {\"cell\": \"4.83 (3.73–5.96)\", \"bbox\": [162, 31, 213, 41]}, {\"cell\": \"3.94 (3.10–4.85)\", \"bbox\": [306, 31, 357, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 31, 484, 41]}, {\"cell\": \"Smoking †\", \"bbox\": [1, 45, 37, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 45, 472, 55]}, {\"cell\": \"non-smoker\", \"bbox\": [1, 59, 41, 69]}, {\"cell\": \"72 (29.51)\", \"bbox\": [162, 59, 195, 69]}, {\"cell\": \"59 (23.51)\", \"bbox\": [306, 59, 339, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ex-smoker\", \"bbox\": [1, 73, 35, 83]}, {\"cell\": \"110 (45.08)\", \"bbox\": [162, 73, 198, 83]}, {\"cell\": \"125 (49.8)\", \"bbox\": [306, 73, 338, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"current smoker\", \"bbox\": [1, 87, 51, 97]}, {\"cell\": \"62 (25.41)\", \"bbox\": [162, 87, 195, 97]}, {\"cell\": \"67 (26.69)\", \"bbox\": [306, 87, 339, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"drinking amount (g/week)\", \"bbox\": [1, 101, 86, 111]}, {\"cell\": \"21.04 (0–71.01)\", \"bbox\": [162, 101, 211, 111]}, {\"cell\": \"8.53 (0–59.7)\", \"bbox\": [306, 101, 348, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 101, 476, 111]}, {\"cell\": \"Exercise †\", \"bbox\": [1, 115, 34, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 115, 472, 125]}, {\"cell\": \"yes\", \"bbox\": [1, 129, 13, 139]}, {\"cell\": \"193 (79.1)\", \"bbox\": [162, 129, 195, 139]}, {\"cell\": \"174 (69.32)\", \"bbox\": [306, 129, 342, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"WC (cm)\", \"bbox\": [1, 143, 30, 153]}, {\"cell\": \"85 (81–89.9)\", \"bbox\": [162, 143, 202, 153]}, {\"cell\": \"91.5 (88–95.5)\", \"bbox\": [306, 143, 351, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 143, 484, 153]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [1, 155, 41, 167]}, {\"cell\": \"23.56 (22.13–25.10)\", \"bbox\": [162, 157, 224, 167]}, {\"cell\": \"26.14 (24.38–27.78)\", \"bbox\": [306, 157, 368, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 157, 484, 167]}, {\"cell\": \"VAT (cm<sup>2</sup>)\", \"bbox\": [1, 169, 34, 181]}, {\"cell\": \"106.74 (80.62–142.86)\", \"bbox\": [162, 171, 232, 181]}, {\"cell\": \"164.79 (135.97–197.95)\", \"bbox\": [306, 171, 380, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 171, 484, 181]}, {\"cell\": \"Diabetes †\", \"bbox\": [1, 185, 36, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 185, 481, 195]}, {\"cell\": \"yes\", \"bbox\": [1, 199, 13, 209]}, {\"cell\": \"30 (12.30)\", \"bbox\": [162, 199, 195, 209]}, {\"cell\": \"68 (27.09)\", \"bbox\": [306, 199, 339, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FBS (mg/dL)\", \"bbox\": [1, 213, 42, 223]}, {\"cell\": \"96 (90–103)\", \"bbox\": [162, 213, 201, 223]}, {\"cell\": \"101 (93–114)\", \"bbox\": [306, 213, 349, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 213, 484, 223]}, {\"cell\": \"SBP (mmHg) *\", \"bbox\": [1, 227, 48, 237]}, {\"cell\": \"118.97 (13.02)\", \"bbox\": [162, 227, 207, 237]}, {\"cell\": \"122.44 (13.86)\", \"bbox\": [306, 227, 351, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 227, 476, 237]}, {\"cell\": \"DBP (mmHg) *\", \"bbox\": [1, 241, 50, 251]}, {\"cell\": \"79.15 (9.81)\", \"bbox\": [162, 241, 200, 251]}, {\"cell\": \"80.83 (10.94)\", \"bbox\": [306, 241, 347, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 241, 476, 251]}, {\"cell\": \"total cholesterol (mg/dL) *\", \"bbox\": [1, 255, 87, 265]}, {\"cell\": \"196.27 (34.46)\", \"bbox\": [162, 255, 207, 265]}, {\"cell\": \"199.79 (37.10)\", \"bbox\": [306, 255, 351, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 255, 476, 265]}, {\"cell\": \"TGs (mg/dL)\", \"bbox\": [1, 269, 42, 279]}, {\"cell\": \"95 (71–130)\", \"bbox\": [162, 269, 201, 279]}, {\"cell\": \"140 (99–195)\", \"bbox\": [306, 269, 349, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 269, 484, 279]}, {\"cell\": \"HDL-C (mg/dL)\", \"bbox\": [1, 283, 51, 293]}, {\"cell\": \"51 (44–59)\", \"bbox\": [162, 283, 197, 293]}, {\"cell\": \"44 (40–51)\", \"bbox\": [306, 283, 341, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 283, 484, 293]}, {\"cell\": \"LDL-C (mg/dL) *\", \"bbox\": [1, 297, 55, 307]}, {\"cell\": \"125.51 (33.43)\", \"bbox\": [162, 297, 207, 307]}, {\"cell\": \"130.18 (33.26)\", \"bbox\": [306, 297, 351, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 297, 476, 307]}, {\"cell\": \"Total bilirubin (mg/dL)\", \"bbox\": [1, 311, 74, 321]}, {\"cell\": \"1.1 (0.85–1.3)\", \"bbox\": [162, 311, 205, 321]}, {\"cell\": \"1.1 (0.9–1.3)\", \"bbox\": [306, 311, 345, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 311, 472, 321]}, {\"cell\": \"ALP (IU/L)\", \"bbox\": [1, 325, 34, 335]}, {\"cell\": \"59 (49.5–69)\", \"bbox\": [162, 325, 202, 335]}, {\"cell\": \"62 (52–72)\", \"bbox\": [306, 325, 341, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 325, 472, 335]}, {\"cell\": \"AST (IU/L)\", \"bbox\": [1, 339, 34, 349]}, {\"cell\": \"22 (19–27)\", \"bbox\": [162, 339, 197, 349]}, {\"cell\": \"26 (22–33)\", \"bbox\": [306, 339, 341, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 339, 484, 349]}, {\"cell\": \"ALT (IU/L)\", \"bbox\": [1, 353, 34, 363]}, {\"cell\": \"22 (17–30)\", \"bbox\": [162, 353, 197, 363]}, {\"cell\": \"33 (24–49)\", \"bbox\": [306, 353, 341, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 353, 484, 363]}, {\"cell\": \"γ-GT (IU/L)\", \"bbox\": [1, 367, 36, 377]}, {\"cell\": \"27 (20–39)\", \"bbox\": [162, 367, 197, 377]}, {\"cell\": \"34 (26–49)\", \"bbox\": [306, 367, 341, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 367, 484, 377]}, {\"cell\": \"hs-CRP (mg/dL)\", \"bbox\": [1, 381, 52, 391]}, {\"cell\": \"0.04 (0.04–0.15)\", \"bbox\": [162, 381, 213, 391]}, {\"cell\": \"0.09 (0.03–0.2)\", \"bbox\": [306, 381, 353, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 381, 476, 391]}, {\"cell\": \"HOMA-IR (mg/dL)\", \"bbox\": [1, 395, 60, 405]}, {\"cell\": \"1.76 (1.33–2.29)\", \"bbox\": [162, 395, 213, 405]}, {\"cell\": \"2.67 (1.96–3.48)\", \"bbox\": [306, 395, 357, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 395, 476, 405]}, {\"cell\": \"Metabolic syndrome †\", \"bbox\": [1, 409, 74, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 409, 481, 419]}, {\"cell\": \"yes\", \"bbox\": [1, 423, 13, 433]}, {\"cell\": \"41 (16.80)\", \"bbox\": [162, 423, 195, 433]}, {\"cell\": \"130 (51.79)\", \"bbox\": [306, 423, 342, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3406998_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}190{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Activity</b></td><td colspan=\\\"2\\\"><b>Male</b></td><td colspan=\\\"2\\\"><b>Female</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><i>n</i></td><td>%</td><td><i>n</i></td><td>%</td><td>[EMPTY_CELL]</td></tr><tr><td>Team ball sports</td><td>62</td><td>35.4</td><td>76</td><td>52.4</td><td>[EMPTY_CELL]</td></tr><tr><td>Other activity (not specified)</td><td>83</td><td>47.4</td><td>46</td><td>31.7</td><td>[EMPTY_CELL]</td></tr><tr><td>Other specified activity with small cell counts grouped together (Team bat or stick sports, individual athletic activities, acrobatic sports, combative sports, equestrian activities, other school related recreational activities, other specified sport and exercise activity)</td><td>6</td><td>3.4</td><td>11</td><td>7.6</td><td>[EMPTY_CELL]</td></tr><tr><td>Other sport or leisure activities (Ice and snow sports, wheeled motor sports, wheeled non-motored sports, unspecified sport and exercise activity, leisure activity)</td><td>24</td><td>13.7</td><td>12</td><td>8.3</td><td>[EMPTY_CELL]</td></tr><tr><td>Totals</td><td>175</td><td>100</td><td>145</td><td>100</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Activity</b>\", \"bbox\": [102, 5, 136, 16]}, {\"cell\": \"<b>Male</b>\", \"bbox\": [263, 5, 286, 16]}, {\"cell\": \"<b>Female</b>\", \"bbox\": [334, 5, 366, 16]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [396, 5, 418, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>n</i>\", \"bbox\": [252, 23, 259, 29]}, {\"cell\": \"%\", \"bbox\": [289, 21, 298, 32]}, {\"cell\": \"<i>n</i>\", \"bbox\": [328, 23, 335, 29]}, {\"cell\": \"%\", \"bbox\": [364, 21, 374, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Team ball sports\", \"bbox\": [6, 32, 73, 43]}, {\"cell\": \"62\", \"bbox\": [250, 32, 261, 43]}, {\"cell\": \"35.4\", \"bbox\": [285, 32, 302, 43]}, {\"cell\": \"76\", \"bbox\": [326, 32, 337, 43]}, {\"cell\": \"52.4\", \"bbox\": [360, 32, 378, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 32, 415, 43]}, {\"cell\": \"Other activity (not specified)\", \"bbox\": [6, 43, 122, 54]}, {\"cell\": \"83\", \"bbox\": [250, 43, 261, 54]}, {\"cell\": \"47.4\", \"bbox\": [285, 43, 302, 54]}, {\"cell\": \"46\", \"bbox\": [326, 43, 337, 54]}, {\"cell\": \"31.7\", \"bbox\": [360, 43, 378, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 43, 415, 54]}, {\"cell\": \"Other specified activity with small cell counts grouped together (Team bat or stick sports, individual athletic activities, acrobatic sports, combative sports, equestrian activities, other school related recreational activities, other specified sport and exercise activity)\", \"bbox\": [6, 58, 229, 113]}, {\"cell\": \"6\", \"bbox\": [252, 80, 259, 91]}, {\"cell\": \"3.4\", \"bbox\": [287, 80, 300, 91]}, {\"cell\": \"11\", \"bbox\": [326, 80, 337, 91]}, {\"cell\": \"7.6\", \"bbox\": [362, 80, 376, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 80, 412, 91]}, {\"cell\": \"Other sport or leisure activities (Ice and snow sports, wheeled motor sports, wheeled non-motored sports, unspecified sport and exercise activity, leisure activity)\", \"bbox\": [6, 118, 225, 151]}, {\"cell\": \"24\", \"bbox\": [250, 129, 261, 140]}, {\"cell\": \"13.7\", \"bbox\": [285, 129, 302, 140]}, {\"cell\": \"12\", \"bbox\": [326, 129, 337, 140]}, {\"cell\": \"8.3\", \"bbox\": [362, 129, 376, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 129, 412, 140]}, {\"cell\": \"Totals\", \"bbox\": [6, 156, 32, 167]}, {\"cell\": \"175\", \"bbox\": [248, 156, 263, 167]}, {\"cell\": \"100\", \"bbox\": [286, 156, 301, 167]}, {\"cell\": \"145\", \"bbox\": [323, 156, 339, 167]}, {\"cell\": \"100\", \"bbox\": [361, 156, 377, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 156, 415, 167]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5486285_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}191{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variable</b></td><td colspan=\\\"3\\\"><b>New Generation of Migrant Workers</b></td><td colspan=\\\"3\\\"><b>Old Generation of Migrant Workers</b></td></tr><tr><td><b>(1) 2SLS</b></td><td><b>(2) 2SLS</b></td><td><b>(3) 2SLS</b></td><td><b>(4) 2SLS</b></td><td><b>(5) 2SLS</b></td><td><b>(6) 2SLS</b></td></tr></thead><tbody><tr><td>Happiness</td><td>0.660 ***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.508 ***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>(0.192)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.194)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Life</td><td>[EMPTY_CELL]</td><td>0.832 ***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.956 ***</td><td>[EMPTY_CELL]</td></tr><tr><td>Satisfaction</td><td>[EMPTY_CELL]</td><td>(0.184)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.335)</td><td>[EMPTY_CELL]</td></tr><tr><td>Economic</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.770 ***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Satisfaction</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.144)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Economic</td><td>−0.088</td><td>−0.073</td><td>−0.010</td><td>−0.029</td><td>−0.097</td><td>[EMPTY_CELL]</td></tr><tr><td>Integration</td><td>(0.061)</td><td>(0.063)</td><td>(0.059)</td><td>(0.078)</td><td>(0.099)</td><td>[EMPTY_CELL]</td></tr><tr><td>Social</td><td>0.163 ***</td><td>0.121 **</td><td>0.134 ***</td><td>0.137 ***</td><td>0.083</td><td>[EMPTY_CELL]</td></tr><tr><td>Integration</td><td>(0.044)</td><td>(0.051)</td><td>(0.050)</td><td>(0.039)</td><td>(0.055)</td><td>[EMPTY_CELL]</td></tr><tr><td>Political</td><td>0.377 ***</td><td>0.320 **</td><td>0.269 *</td><td>0.634 ***</td><td>0.502 ***</td><td>[EMPTY_CELL]</td></tr><tr><td>Integration</td><td>(0.124)</td><td>(0.138)</td><td>(0.138)</td><td>(0.108)</td><td>(0.140)</td><td>[EMPTY_CELL]</td></tr><tr><td>Cultural</td><td>−0.060</td><td>−0.067</td><td>−0.131 **</td><td>−0.048</td><td>−0.105</td><td>[EMPTY_CELL]</td></tr><tr><td>Integration</td><td>(0.055)</td><td>(0.061)</td><td>(0.062)</td><td>(0.059)</td><td>(0.073)</td><td>[EMPTY_CELL]</td></tr><tr><td>Control variables</td><td>YES</td><td>YES</td><td>YES</td><td>YES</td><td>YES</td><td>[EMPTY_CELL]</td></tr><tr><td>Constant</td><td>−1.155</td><td>−2.711 *</td><td>−2.346 **</td><td>−0.212</td><td>−1.190</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>(1.255)</td><td>(1.397)</td><td>(1.191)</td><td>(1.538)</td><td>(1.890)</td><td>[EMPTY_CELL]</td></tr><tr><td>Observation</td><td>763</td><td>763</td><td>763</td><td>862</td><td>862</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [11, 9, 39, 17]}, {\"cell\": \"<b>New Generation of Migrant Workers</b>\", \"bbox\": [62, 4, 177, 12]}, {\"cell\": \"<b>Old Generation of Migrant Workers</b>\", \"bbox\": [206, 4, 318, 12]}, {\"cell\": \"<b>(1) 2SLS</b>\", \"bbox\": [59, 16, 86, 24]}, {\"cell\": \"<b>(2) 2SLS</b>\", \"bbox\": [106, 16, 134, 24]}, {\"cell\": \"<b>(3) 2SLS</b>\", \"bbox\": [154, 16, 181, 24]}, {\"cell\": \"<b>(4) 2SLS</b>\", \"bbox\": [201, 16, 228, 24]}, {\"cell\": \"<b>(5) 2SLS</b>\", \"bbox\": [248, 16, 276, 24]}, {\"cell\": \"<b>(6) 2SLS</b>\", \"bbox\": [296, 16, 323, 24]}, {\"cell\": \"Happiness\", \"bbox\": [8, 27, 42, 36]}, {\"cell\": \"0.660 ***\", \"bbox\": [59, 27, 86, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.508 ***\", \"bbox\": [201, 27, 228, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.192)\", \"bbox\": [62, 36, 83, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.194)\", \"bbox\": [204, 36, 226, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Life\", \"bbox\": [18, 48, 32, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.832 ***\", \"bbox\": [107, 48, 133, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.956 ***\", \"bbox\": [249, 48, 275, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Satisfaction\", \"bbox\": [7, 56, 43, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.184)\", \"bbox\": [109, 56, 131, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.335)\", \"bbox\": [251, 56, 273, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Economic\", \"bbox\": [10, 68, 41, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.770 ***\", \"bbox\": [154, 68, 181, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 68, 323, 76]}, {\"cell\": \"Satisfaction\", \"bbox\": [7, 76, 43, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.144)\", \"bbox\": [157, 76, 178, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 76, 320, 85]}, {\"cell\": \"Economic\", \"bbox\": [10, 88, 41, 97]}, {\"cell\": \"−0.088\", \"bbox\": [61, 88, 84, 97]}, {\"cell\": \"−0.073\", \"bbox\": [109, 88, 131, 97]}, {\"cell\": \"−0.010\", \"bbox\": [156, 88, 179, 97]}, {\"cell\": \"−0.029\", \"bbox\": [203, 88, 226, 97]}, {\"cell\": \"−0.097\", \"bbox\": [251, 88, 273, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 88, 318, 97]}, {\"cell\": \"Integration\", \"bbox\": [8, 96, 43, 105]}, {\"cell\": \"(0.061)\", \"bbox\": [62, 96, 83, 105]}, {\"cell\": \"(0.063)\", \"bbox\": [109, 96, 131, 105]}, {\"cell\": \"(0.059)\", \"bbox\": [157, 96, 178, 105]}, {\"cell\": \"(0.078)\", \"bbox\": [204, 96, 226, 105]}, {\"cell\": \"(0.099)\", \"bbox\": [251, 96, 273, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 96, 320, 105]}, {\"cell\": \"Social\", \"bbox\": [15, 108, 35, 117]}, {\"cell\": \"0.163 ***\", \"bbox\": [59, 108, 86, 117]}, {\"cell\": \"0.121 **\", \"bbox\": [108, 108, 132, 117]}, {\"cell\": \"0.134 ***\", \"bbox\": [154, 108, 181, 117]}, {\"cell\": \"0.137 ***\", \"bbox\": [201, 108, 228, 117]}, {\"cell\": \"0.083\", \"bbox\": [254, 108, 271, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 108, 323, 117]}, {\"cell\": \"Integration\", \"bbox\": [8, 116, 43, 125]}, {\"cell\": \"(0.044)\", \"bbox\": [62, 116, 83, 125]}, {\"cell\": \"(0.051)\", \"bbox\": [109, 116, 131, 125]}, {\"cell\": \"(0.050)\", \"bbox\": [157, 116, 178, 125]}, {\"cell\": \"(0.039)\", \"bbox\": [204, 116, 226, 125]}, {\"cell\": \"(0.055)\", \"bbox\": [251, 116, 273, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 116, 320, 125]}, {\"cell\": \"Political\", \"bbox\": [12, 128, 38, 137]}, {\"cell\": \"0.377 ***\", \"bbox\": [59, 128, 86, 137]}, {\"cell\": \"0.320 **\", \"bbox\": [108, 128, 132, 137]}, {\"cell\": \"0.269 *\", \"bbox\": [157, 128, 178, 137]}, {\"cell\": \"0.634 ***\", \"bbox\": [201, 128, 228, 137]}, {\"cell\": \"0.502 ***\", \"bbox\": [249, 128, 275, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 128, 323, 137]}, {\"cell\": \"Integration\", \"bbox\": [8, 136, 43, 145]}, {\"cell\": \"(0.124)\", \"bbox\": [62, 136, 83, 145]}, {\"cell\": \"(0.138)\", \"bbox\": [109, 136, 131, 145]}, {\"cell\": \"(0.138)\", \"bbox\": [157, 136, 178, 145]}, {\"cell\": \"(0.108)\", \"bbox\": [204, 136, 226, 145]}, {\"cell\": \"(0.140)\", \"bbox\": [251, 136, 273, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 136, 320, 145]}, {\"cell\": \"Cultural\", \"bbox\": [12, 148, 39, 157]}, {\"cell\": \"−0.060\", \"bbox\": [61, 148, 84, 157]}, {\"cell\": \"−0.067\", \"bbox\": [109, 148, 131, 157]}, {\"cell\": \"−0.131 **\", \"bbox\": [153, 148, 182, 157]}, {\"cell\": \"−0.048\", \"bbox\": [203, 148, 226, 157]}, {\"cell\": \"−0.105\", \"bbox\": [251, 148, 273, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 148, 321, 157]}, {\"cell\": \"Integration\", \"bbox\": [8, 156, 43, 165]}, {\"cell\": \"(0.055)\", \"bbox\": [62, 156, 83, 165]}, {\"cell\": \"(0.061)\", \"bbox\": [109, 156, 131, 165]}, {\"cell\": \"(0.062)\", \"bbox\": [157, 156, 178, 165]}, {\"cell\": \"(0.059)\", \"bbox\": [204, 156, 226, 165]}, {\"cell\": \"(0.073)\", \"bbox\": [251, 156, 273, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 156, 320, 165]}, {\"cell\": \"Control variables\", \"bbox\": [11, 168, 40, 185]}, {\"cell\": \"YES\", \"bbox\": [66, 172, 80, 181]}, {\"cell\": \"YES\", \"bbox\": [113, 172, 127, 181]}, {\"cell\": \"YES\", \"bbox\": [160, 172, 174, 181]}, {\"cell\": \"YES\", \"bbox\": [208, 172, 222, 181]}, {\"cell\": \"YES\", \"bbox\": [255, 172, 269, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 172, 317, 181]}, {\"cell\": \"Constant\", \"bbox\": [11, 188, 40, 197]}, {\"cell\": \"−1.155\", \"bbox\": [61, 188, 84, 197]}, {\"cell\": \"−2.711 *\", \"bbox\": [107, 188, 133, 197]}, {\"cell\": \"−2.346 **\", \"bbox\": [153, 188, 182, 197]}, {\"cell\": \"−0.212\", \"bbox\": [203, 188, 226, 197]}, {\"cell\": \"−1.190\", \"bbox\": [251, 188, 273, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 188, 318, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(1.255)\", \"bbox\": [62, 197, 83, 205]}, {\"cell\": \"(1.397)\", \"bbox\": [109, 197, 131, 205]}, {\"cell\": \"(1.191)\", \"bbox\": [157, 197, 178, 205]}, {\"cell\": \"(1.538)\", \"bbox\": [204, 197, 226, 205]}, {\"cell\": \"(1.890)\", \"bbox\": [251, 197, 273, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 197, 320, 205]}, {\"cell\": \"Observation\", \"bbox\": [6, 208, 45, 217]}, {\"cell\": \"763\", \"bbox\": [67, 208, 79, 217]}, {\"cell\": \"763\", \"bbox\": [114, 208, 126, 217]}, {\"cell\": \"763\", \"bbox\": [161, 208, 173, 217]}, {\"cell\": \"862\", \"bbox\": [209, 208, 221, 217]}, {\"cell\": \"862\", \"bbox\": [256, 208, 268, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 208, 316, 217]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5981939_013_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}192{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Year</b></td><td><b>L</b></td><td><b>M1</b></td><td><b>M2</b></td><td><b>M3</b></td><td><b>M4</b></td><td><b>M5</b></td><td><b>M6</b></td><td><b>M7</b></td><td><b>M8</b></td><td><b>M9</b></td></tr></thead><tbody><tr><td>2009</td><td>G-L1</td><td>101.7</td><td>84.3</td><td>45.5</td><td>47.2</td><td>20.4</td><td>6.9</td><td>45.6</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>G-L2</td><td>83.1</td><td>67.5</td><td>50.9</td><td>38.5</td><td>31.4</td><td>20.7</td><td>40.7</td><td>0.5</td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>G-L3</td><td>45.7</td><td>30.4</td><td>41.5</td><td>31.1</td><td>40.1</td><td>26.9</td><td>31.2</td><td>1.0</td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>G-L4</td><td>125.0</td><td>19.1</td><td>125.1</td><td>114.9</td><td>90.3</td><td>19.6</td><td>115.5</td><td>65.0</td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>G-L5</td><td>29.1</td><td>8.0</td><td>18.1</td><td>24.5</td><td>15.3</td><td>1.2</td><td>–</td><td>12.3</td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>G-L6</td><td>51.6</td><td>47.6</td><td>37.7</td><td>29.5</td><td>41.7</td><td>35.4</td><td>29.4</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>G-L7</td><td>81.5</td><td>56.1</td><td>55.3</td><td>62.8</td><td>36.5</td><td>11.0</td><td>55.5</td><td>5.1</td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>P-L1</td><td>126.4</td><td>115.6</td><td>121.6</td><td>116.3</td><td>109.5</td><td>108.8</td><td>116.2</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>P-L2</td><td>62.3</td><td>45.4</td><td>62.4</td><td>54.6</td><td>57.3</td><td>47.2</td><td>54.9</td><td>1.5</td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>P-L3</td><td>120.9</td><td>65.9</td><td>116.1</td><td>105.5</td><td>99.7</td><td>49.6</td><td>105.5</td><td>17.3</td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>P-L4</td><td>145.9</td><td>98.6</td><td>132.8</td><td>126.4</td><td>126.4</td><td>80.1</td><td>126.4</td><td>0.4</td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>G-L1</td><td>35.5</td><td>4.9</td><td>35.6</td><td>31.5</td><td>12.3</td><td><b>0</b></td><td>32.0</td><td>12.3</td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>G-L2</td><td>25.0</td><td>7.2</td><td>27.0</td><td>21.7</td><td>29.7</td><td>11.9</td><td>19.7</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>G-L4</td><td>141.4</td><td>74.2</td><td>128.7</td><td>117.1</td><td>130.2</td><td>57.4</td><td>118.4</td><td>5.0</td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>G-L5</td><td>21.6</td><td><b>0</b></td><td>23.4</td><td>22.9</td><td>21.9</td><td>3.3</td><td>22.9</td><td>22.1</td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>G-L6</td><td>80.9</td><td>60.0</td><td>72.8</td><td>59.8</td><td>55.4</td><td>41.5</td><td>61.1</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>G-L7</td><td>69.5</td><td>22.3</td><td>56.2</td><td>47.8</td><td>37.2</td><td>23.6</td><td>48.1</td><td>2.6</td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>G-L8</td><td>40.8</td><td>24.7</td><td>32.1</td><td>22.6</td><td>27.7</td><td>19.6</td><td>23.1</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>P-L1</td><td>38.8</td><td>5.7</td><td>38.8</td><td>38.8</td><td>39.4</td><td>9.4</td><td>40.8</td><td>39.1</td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>P-L2</td><td>40.0</td><td>0.7</td><td>41.6</td><td>36.1</td><td>39.8</td><td>4.1</td><td>36.9</td><td>4.3</td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>P-L3</td><td>66.4</td><td><b>0</b></td><td>68.4</td><td>67.2</td><td>69.5</td><td>3.7</td><td>70.4</td><td>71.5</td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>P-L4</td><td>95.0</td><td>80.4</td><td>90.5</td><td>79.1</td><td>87.0</td><td>66.7</td><td>79.4</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Counts</td><td>0</td><td>2</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>7</td><td><b>12</b></td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>0%</td><td>9%</td><td>0%</td><td>0%</td><td>0%</td><td>5%</td><td>0.00</td><td>32%</td><td><b>55%</b></td></tr><tr><td>2012</td><td>G-L4</td><td>35.3</td><td><b>0</b></td><td>35.3</td><td>36.2</td><td>26.0</td><td>0.6</td><td>35.3</td><td>24.2</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>G-L5</td><td>66.3</td><td>2.6</td><td>67.0</td><td>66.3</td><td>42.1</td><td>5.9</td><td>–</td><td>21.5</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>G-L6</td><td>148.4</td><td>131.4</td><td>93.8</td><td>93.7</td><td>18.7</td><td>18.7</td><td>89.9</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>G-L7</td><td>38.3</td><td>4.5</td><td>40.3</td><td>38.3</td><td>36.3</td><td><b>0</b></td><td>42.3</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>G-L8</td><td>45.3</td><td>39.8</td><td>37.7</td><td>33.5</td><td>35.6</td><td>37.3</td><td>33.9</td><td>1.9</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>G-L9</td><td>402.3</td><td>321.5</td><td>200.9</td><td>181.7</td><td>81.9</td><td>81.9</td><td>191.6</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>G-L10</td><td>39.7</td><td><b>0</b></td><td>41.5</td><td>41.4</td><td>22.1</td><td>3.5</td><td>43.5</td><td>6.7</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>G-L11</td><td>18.0</td><td><b>0</b></td><td>19.7</td><td>18.0</td><td>8.4</td><td>1.2</td><td>21.6</td><td>3.7</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>P-L1</td><td>189.5</td><td>168.8</td><td>158.9</td><td>148.9</td><td>146.3</td><td>137.8</td><td>149.1</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>P-L2</td><td>127.4</td><td>49.3</td><td>129.1</td><td>122.6</td><td>129.7</td><td>49.9</td><td>123.9</td><td>5.9</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>P-L3</td><td>107.8</td><td>55.3</td><td>103.1</td><td>95.0</td><td>101.0</td><td>49.3</td><td>96.1</td><td>7.9</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>P-L4</td><td>226.3</td><td>0.2</td><td>226.3</td><td>222.1</td><td>226.3</td><td><b>0</b></td><td>226.3</td><td>226.3</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>P-L5</td><td>13.2</td><td><b>0</b></td><td>13.2</td><td>13.2</td><td>11.9</td><td>1.5</td><td>13.2</td><td>13.9</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>P-L6</td><td>79.0</td><td>54.8</td><td>70.4</td><td>66.9</td><td>65.8</td><td>37.9</td><td>67.0</td><td><b>0</b></td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Counts</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0</td><td>2</td><td>0</td><td>4</td><td><b>6</b></td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>0%</td><td>29%</td><td>0%</td><td>0%</td><td>0%</td><td>14%</td><td>0%</td><td>29%</td><td><b>43%</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Year</b>\", \"bbox\": [1, 5, 18, 12]}, {\"cell\": \"<b>L</b>\", \"bbox\": [46, 5, 52, 12]}, {\"cell\": \"<b>M1</b>\", \"bbox\": [100, 5, 113, 12]}, {\"cell\": \"<b>M2</b>\", \"bbox\": [147, 5, 160, 12]}, {\"cell\": \"<b>M3</b>\", \"bbox\": [193, 5, 206, 12]}, {\"cell\": \"<b>M4</b>\", \"bbox\": [240, 5, 253, 12]}, {\"cell\": \"<b>M5</b>\", \"bbox\": [286, 5, 299, 12]}, {\"cell\": \"<b>M6</b>\", \"bbox\": [333, 5, 346, 12]}, {\"cell\": \"<b>M7</b>\", \"bbox\": [379, 5, 392, 12]}, {\"cell\": \"<b>M8</b>\", \"bbox\": [426, 5, 439, 12]}, {\"cell\": \"<b>M9</b>\", \"bbox\": [471, 5, 484, 12]}, {\"cell\": \"2009\", \"bbox\": [1, 19, 18, 27]}, {\"cell\": \"G-L1\", \"bbox\": [46, 19, 63, 27]}, {\"cell\": \"101.7\", \"bbox\": [94, 19, 113, 27]}, {\"cell\": \"84.3\", \"bbox\": [144, 19, 160, 27]}, {\"cell\": \"45.5\", \"bbox\": [191, 19, 206, 27]}, {\"cell\": \"47.2\", \"bbox\": [238, 19, 253, 27]}, {\"cell\": \"20.4\", \"bbox\": [284, 19, 299, 27]}, {\"cell\": \"6.9\", \"bbox\": [335, 19, 346, 27]}, {\"cell\": \"45.6\", \"bbox\": [377, 19, 392, 27]}, {\"cell\": \"<b>0</b>\", \"bbox\": [432, 19, 439, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 19, 484, 27]}, {\"cell\": \"2009\", \"bbox\": [1, 34, 18, 41]}, {\"cell\": \"G-L2\", \"bbox\": [46, 34, 63, 41]}, {\"cell\": \"83.1\", \"bbox\": [98, 34, 113, 41]}, {\"cell\": \"67.5\", \"bbox\": [144, 34, 160, 41]}, {\"cell\": \"50.9\", \"bbox\": [191, 34, 206, 41]}, {\"cell\": \"38.5\", \"bbox\": [238, 34, 253, 41]}, {\"cell\": \"31.4\", \"bbox\": [284, 34, 299, 41]}, {\"cell\": \"20.7\", \"bbox\": [331, 34, 346, 41]}, {\"cell\": \"40.7\", \"bbox\": [377, 34, 392, 41]}, {\"cell\": \"0.5\", \"bbox\": [428, 34, 439, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 34, 484, 43]}, {\"cell\": \"2009\", \"bbox\": [1, 48, 18, 56]}, {\"cell\": \"G-L3\", \"bbox\": [46, 48, 63, 56]}, {\"cell\": \"45.7\", \"bbox\": [98, 48, 113, 56]}, {\"cell\": \"30.4\", \"bbox\": [144, 48, 160, 56]}, {\"cell\": \"41.5\", \"bbox\": [191, 48, 206, 56]}, {\"cell\": \"31.1\", \"bbox\": [238, 48, 253, 56]}, {\"cell\": \"40.1\", \"bbox\": [284, 48, 299, 56]}, {\"cell\": \"26.9\", \"bbox\": [331, 48, 346, 56]}, {\"cell\": \"31.2\", \"bbox\": [377, 48, 392, 56]}, {\"cell\": \"1.0\", \"bbox\": [428, 48, 439, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 48, 484, 58]}, {\"cell\": \"2009\", \"bbox\": [1, 63, 18, 70]}, {\"cell\": \"G-L4\", \"bbox\": [46, 63, 63, 70]}, {\"cell\": \"125.0\", \"bbox\": [94, 63, 113, 70]}, {\"cell\": \"19.1\", \"bbox\": [144, 63, 160, 70]}, {\"cell\": \"125.1\", \"bbox\": [187, 63, 206, 70]}, {\"cell\": \"114.9\", \"bbox\": [234, 63, 253, 70]}, {\"cell\": \"90.3\", \"bbox\": [284, 63, 299, 70]}, {\"cell\": \"19.6\", \"bbox\": [331, 63, 346, 70]}, {\"cell\": \"115.5\", \"bbox\": [373, 63, 392, 70]}, {\"cell\": \"65.0\", \"bbox\": [424, 63, 439, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 63, 484, 72]}, {\"cell\": \"2009\", \"bbox\": [1, 77, 18, 85]}, {\"cell\": \"G-L5\", \"bbox\": [46, 77, 63, 85]}, {\"cell\": \"29.1\", \"bbox\": [98, 77, 113, 85]}, {\"cell\": \"8.0\", \"bbox\": [148, 77, 160, 85]}, {\"cell\": \"18.1\", \"bbox\": [191, 77, 206, 85]}, {\"cell\": \"24.5\", \"bbox\": [238, 77, 253, 85]}, {\"cell\": \"15.3\", \"bbox\": [284, 77, 299, 85]}, {\"cell\": \"1.2\", \"bbox\": [335, 77, 346, 85]}, {\"cell\": \"–\", \"bbox\": [386, 77, 392, 85]}, {\"cell\": \"12.3\", \"bbox\": [424, 77, 439, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 77, 484, 86]}, {\"cell\": \"2009\", \"bbox\": [1, 92, 18, 99]}, {\"cell\": \"G-L6\", \"bbox\": [46, 92, 63, 99]}, {\"cell\": \"51.6\", \"bbox\": [98, 92, 113, 99]}, {\"cell\": \"47.6\", \"bbox\": [144, 92, 160, 99]}, {\"cell\": \"37.7\", \"bbox\": [191, 92, 206, 99]}, {\"cell\": \"29.5\", \"bbox\": [238, 92, 253, 99]}, {\"cell\": \"41.7\", \"bbox\": [284, 92, 299, 99]}, {\"cell\": \"35.4\", \"bbox\": [331, 92, 346, 99]}, {\"cell\": \"29.4\", \"bbox\": [377, 92, 392, 99]}, {\"cell\": \"<b>0</b>\", \"bbox\": [431, 91, 437, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 92, 484, 99]}, {\"cell\": \"2009\", \"bbox\": [1, 106, 18, 114]}, {\"cell\": \"G-L7\", \"bbox\": [46, 106, 63, 114]}, {\"cell\": \"81.5\", \"bbox\": [98, 106, 113, 114]}, {\"cell\": \"56.1\", \"bbox\": [144, 106, 160, 114]}, {\"cell\": \"55.3\", \"bbox\": [191, 106, 206, 114]}, {\"cell\": \"62.8\", \"bbox\": [238, 106, 253, 114]}, {\"cell\": \"36.5\", \"bbox\": [284, 106, 299, 114]}, {\"cell\": \"11.0\", \"bbox\": [331, 106, 346, 114]}, {\"cell\": \"55.5\", \"bbox\": [377, 106, 392, 114]}, {\"cell\": \"5.1\", \"bbox\": [428, 106, 439, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 106, 484, 115]}, {\"cell\": \"2009\", \"bbox\": [1, 120, 18, 128]}, {\"cell\": \"P-L1\", \"bbox\": [46, 120, 62, 128]}, {\"cell\": \"126.4\", \"bbox\": [94, 120, 113, 128]}, {\"cell\": \"115.6\", \"bbox\": [141, 120, 160, 128]}, {\"cell\": \"121.6\", \"bbox\": [187, 120, 206, 128]}, {\"cell\": \"116.3\", \"bbox\": [234, 120, 253, 128]}, {\"cell\": \"109.5\", \"bbox\": [280, 120, 299, 128]}, {\"cell\": \"108.8\", \"bbox\": [327, 120, 346, 128]}, {\"cell\": \"116.2\", \"bbox\": [373, 120, 392, 128]}, {\"cell\": \"<b>0</b>\", \"bbox\": [432, 120, 439, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 120, 484, 128]}, {\"cell\": \"2009\", \"bbox\": [1, 135, 18, 143]}, {\"cell\": \"P-L2\", \"bbox\": [46, 135, 62, 143]}, {\"cell\": \"62.3\", \"bbox\": [98, 135, 113, 143]}, {\"cell\": \"45.4\", \"bbox\": [144, 135, 160, 143]}, {\"cell\": \"62.4\", \"bbox\": [191, 135, 206, 143]}, {\"cell\": \"54.6\", \"bbox\": [238, 135, 253, 143]}, {\"cell\": \"57.3\", \"bbox\": [284, 135, 299, 143]}, {\"cell\": \"47.2\", \"bbox\": [331, 135, 346, 143]}, {\"cell\": \"54.9\", \"bbox\": [377, 135, 392, 143]}, {\"cell\": \"1.5\", \"bbox\": [428, 135, 439, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 135, 484, 144]}, {\"cell\": \"2009\", \"bbox\": [1, 149, 18, 157]}, {\"cell\": \"P-L3\", \"bbox\": [46, 149, 62, 157]}, {\"cell\": \"120.9\", \"bbox\": [94, 149, 113, 157]}, {\"cell\": \"65.9\", \"bbox\": [144, 149, 160, 157]}, {\"cell\": \"116.1\", \"bbox\": [187, 149, 206, 157]}, {\"cell\": \"105.5\", \"bbox\": [234, 149, 253, 157]}, {\"cell\": \"99.7\", \"bbox\": [284, 149, 299, 157]}, {\"cell\": \"49.6\", \"bbox\": [331, 149, 346, 157]}, {\"cell\": \"105.5\", \"bbox\": [373, 149, 392, 157]}, {\"cell\": \"17.3\", \"bbox\": [424, 149, 439, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 149, 484, 159]}, {\"cell\": \"2009\", \"bbox\": [1, 164, 18, 172]}, {\"cell\": \"P-L4\", \"bbox\": [46, 164, 62, 172]}, {\"cell\": \"145.9\", \"bbox\": [94, 164, 113, 172]}, {\"cell\": \"98.6\", \"bbox\": [144, 164, 160, 172]}, {\"cell\": \"132.8\", \"bbox\": [187, 164, 206, 172]}, {\"cell\": \"126.4\", \"bbox\": [234, 164, 253, 172]}, {\"cell\": \"126.4\", \"bbox\": [280, 164, 299, 172]}, {\"cell\": \"80.1\", \"bbox\": [331, 164, 346, 172]}, {\"cell\": \"126.4\", \"bbox\": [373, 164, 392, 172]}, {\"cell\": \"0.4\", \"bbox\": [428, 164, 439, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 164, 484, 173]}, {\"cell\": \"2010\", \"bbox\": [1, 178, 18, 186]}, {\"cell\": \"G-L1\", \"bbox\": [46, 178, 63, 186]}, {\"cell\": \"35.5\", \"bbox\": [98, 178, 113, 186]}, {\"cell\": \"4.9\", \"bbox\": [148, 178, 160, 186]}, {\"cell\": \"35.6\", \"bbox\": [191, 178, 206, 186]}, {\"cell\": \"31.5\", \"bbox\": [238, 178, 253, 186]}, {\"cell\": \"12.3\", \"bbox\": [284, 178, 299, 186]}, {\"cell\": \"<b>0</b>\", \"bbox\": [339, 178, 346, 188]}, {\"cell\": \"32.0\", \"bbox\": [377, 178, 392, 186]}, {\"cell\": \"12.3\", \"bbox\": [424, 178, 439, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 178, 484, 186]}, {\"cell\": \"2010\", \"bbox\": [1, 193, 18, 200]}, {\"cell\": \"G-L2\", \"bbox\": [46, 193, 63, 200]}, {\"cell\": \"25.0\", \"bbox\": [98, 193, 113, 200]}, {\"cell\": \"7.2\", \"bbox\": [148, 193, 160, 200]}, {\"cell\": \"27.0\", \"bbox\": [191, 193, 206, 200]}, {\"cell\": \"21.7\", \"bbox\": [238, 193, 253, 200]}, {\"cell\": \"29.7\", \"bbox\": [284, 193, 299, 200]}, {\"cell\": \"11.9\", \"bbox\": [331, 193, 346, 200]}, {\"cell\": \"19.7\", \"bbox\": [377, 193, 392, 200]}, {\"cell\": \"<b>0</b>\", \"bbox\": [432, 193, 439, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 193, 484, 200]}, {\"cell\": \"2010\", \"bbox\": [1, 207, 18, 215]}, {\"cell\": \"G-L4\", \"bbox\": [46, 207, 63, 215]}, {\"cell\": \"141.4\", \"bbox\": [94, 207, 113, 215]}, {\"cell\": \"74.2\", \"bbox\": [144, 207, 160, 215]}, {\"cell\": \"128.7\", \"bbox\": [187, 207, 206, 215]}, {\"cell\": \"117.1\", \"bbox\": [234, 207, 253, 215]}, {\"cell\": \"130.2\", \"bbox\": [280, 207, 299, 215]}, {\"cell\": \"57.4\", \"bbox\": [331, 207, 346, 215]}, {\"cell\": \"118.4\", \"bbox\": [373, 207, 392, 215]}, {\"cell\": \"5.0\", \"bbox\": [428, 207, 439, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 207, 484, 217]}, {\"cell\": \"2010\", \"bbox\": [1, 222, 18, 229]}, {\"cell\": \"G-L5\", \"bbox\": [46, 222, 63, 229]}, {\"cell\": \"21.6\", \"bbox\": [98, 222, 113, 229]}, {\"cell\": \"<b>0</b>\", \"bbox\": [153, 222, 160, 231]}, {\"cell\": \"23.4\", \"bbox\": [191, 222, 206, 229]}, {\"cell\": \"22.9\", \"bbox\": [238, 222, 253, 229]}, {\"cell\": \"21.9\", \"bbox\": [284, 222, 299, 229]}, {\"cell\": \"3.3\", \"bbox\": [335, 222, 346, 229]}, {\"cell\": \"22.9\", \"bbox\": [377, 222, 392, 229]}, {\"cell\": \"22.1\", \"bbox\": [424, 222, 439, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 222, 484, 229]}, {\"cell\": \"2010\", \"bbox\": [1, 236, 18, 244]}, {\"cell\": \"G-L6\", \"bbox\": [46, 236, 63, 244]}, {\"cell\": \"80.9\", \"bbox\": [98, 236, 113, 244]}, {\"cell\": \"60.0\", \"bbox\": [144, 236, 160, 244]}, {\"cell\": \"72.8\", \"bbox\": [191, 236, 206, 244]}, {\"cell\": \"59.8\", \"bbox\": [238, 236, 253, 244]}, {\"cell\": \"55.4\", \"bbox\": [284, 236, 299, 244]}, {\"cell\": \"41.5\", \"bbox\": [331, 236, 346, 244]}, {\"cell\": \"61.1\", \"bbox\": [377, 236, 392, 244]}, {\"cell\": \"<b>0</b>\", \"bbox\": [431, 236, 437, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 236, 484, 244]}, {\"cell\": \"2010\", \"bbox\": [1, 251, 18, 258]}, {\"cell\": \"G-L7\", \"bbox\": [46, 251, 63, 258]}, {\"cell\": \"69.5\", \"bbox\": [98, 251, 113, 258]}, {\"cell\": \"22.3\", \"bbox\": [144, 251, 160, 258]}, {\"cell\": \"56.2\", \"bbox\": [191, 251, 206, 258]}, {\"cell\": \"47.8\", \"bbox\": [238, 251, 253, 258]}, {\"cell\": \"37.2\", \"bbox\": [284, 251, 299, 258]}, {\"cell\": \"23.6\", \"bbox\": [331, 251, 346, 258]}, {\"cell\": \"48.1\", \"bbox\": [377, 251, 392, 258]}, {\"cell\": \"2.6\", \"bbox\": [428, 251, 439, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 250, 484, 260]}, {\"cell\": \"2010\", \"bbox\": [1, 265, 18, 273]}, {\"cell\": \"G-L8\", \"bbox\": [46, 265, 63, 273]}, {\"cell\": \"40.8\", \"bbox\": [98, 265, 113, 273]}, {\"cell\": \"24.7\", \"bbox\": [144, 265, 160, 273]}, {\"cell\": \"32.1\", \"bbox\": [191, 265, 206, 273]}, {\"cell\": \"22.6\", \"bbox\": [238, 265, 253, 273]}, {\"cell\": \"27.7\", \"bbox\": [284, 265, 299, 273]}, {\"cell\": \"19.6\", \"bbox\": [331, 265, 346, 273]}, {\"cell\": \"23.1\", \"bbox\": [377, 265, 392, 273]}, {\"cell\": \"<b>0</b>\", \"bbox\": [432, 265, 439, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 265, 484, 273]}, {\"cell\": \"2010\", \"bbox\": [1, 279, 18, 287]}, {\"cell\": \"P-L1\", \"bbox\": [46, 279, 62, 287]}, {\"cell\": \"38.8\", \"bbox\": [98, 279, 113, 287]}, {\"cell\": \"5.7\", \"bbox\": [148, 279, 160, 287]}, {\"cell\": \"38.8\", \"bbox\": [191, 279, 206, 287]}, {\"cell\": \"38.8\", \"bbox\": [238, 279, 253, 287]}, {\"cell\": \"39.4\", \"bbox\": [284, 279, 299, 287]}, {\"cell\": \"9.4\", \"bbox\": [335, 279, 346, 287]}, {\"cell\": \"40.8\", \"bbox\": [377, 279, 392, 287]}, {\"cell\": \"39.1\", \"bbox\": [424, 279, 439, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 279, 484, 289]}, {\"cell\": \"2010\", \"bbox\": [1, 294, 18, 302]}, {\"cell\": \"P-L2\", \"bbox\": [46, 294, 62, 302]}, {\"cell\": \"40.0\", \"bbox\": [98, 294, 113, 302]}, {\"cell\": \"0.7\", \"bbox\": [148, 294, 160, 302]}, {\"cell\": \"41.6\", \"bbox\": [191, 294, 206, 302]}, {\"cell\": \"36.1\", \"bbox\": [238, 294, 253, 302]}, {\"cell\": \"39.8\", \"bbox\": [284, 294, 299, 302]}, {\"cell\": \"4.1\", \"bbox\": [335, 294, 346, 302]}, {\"cell\": \"36.9\", \"bbox\": [377, 294, 392, 302]}, {\"cell\": \"4.3\", \"bbox\": [428, 294, 439, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 294, 484, 303]}, {\"cell\": \"2010\", \"bbox\": [1, 308, 18, 316]}, {\"cell\": \"P-L3\", \"bbox\": [46, 308, 62, 316]}, {\"cell\": \"66.4\", \"bbox\": [98, 308, 113, 316]}, {\"cell\": \"<b>0</b>\", \"bbox\": [153, 308, 160, 318]}, {\"cell\": \"68.4\", \"bbox\": [191, 308, 206, 316]}, {\"cell\": \"67.2\", \"bbox\": [238, 308, 253, 316]}, {\"cell\": \"69.5\", \"bbox\": [284, 308, 299, 316]}, {\"cell\": \"3.7\", \"bbox\": [335, 308, 346, 316]}, {\"cell\": \"70.4\", \"bbox\": [377, 308, 392, 316]}, {\"cell\": \"71.5\", \"bbox\": [424, 308, 439, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 308, 484, 316]}, {\"cell\": \"2010\", \"bbox\": [1, 323, 18, 330]}, {\"cell\": \"P-L4\", \"bbox\": [46, 323, 62, 330]}, {\"cell\": \"95.0\", \"bbox\": [98, 323, 113, 330]}, {\"cell\": \"80.4\", \"bbox\": [144, 323, 160, 330]}, {\"cell\": \"90.5\", \"bbox\": [191, 323, 206, 330]}, {\"cell\": \"79.1\", \"bbox\": [238, 323, 253, 330]}, {\"cell\": \"87.0\", \"bbox\": [284, 323, 299, 330]}, {\"cell\": \"66.7\", \"bbox\": [331, 323, 346, 330]}, {\"cell\": \"79.4\", \"bbox\": [377, 323, 392, 330]}, {\"cell\": \"<b>0</b>\", \"bbox\": [432, 323, 439, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 323, 484, 330]}, {\"cell\": \"Counts\", \"bbox\": [42, 338, 66, 346]}, {\"cell\": \"0\", \"bbox\": [107, 338, 113, 346]}, {\"cell\": \"2\", \"bbox\": [154, 338, 160, 346]}, {\"cell\": \"0\", \"bbox\": [200, 338, 206, 346]}, {\"cell\": \"0\", \"bbox\": [247, 338, 253, 346]}, {\"cell\": \"0\", \"bbox\": [293, 338, 299, 346]}, {\"cell\": \"1\", \"bbox\": [340, 338, 346, 346]}, {\"cell\": \"0\", \"bbox\": [386, 338, 392, 346]}, {\"cell\": \"7\", \"bbox\": [433, 338, 439, 346]}, {\"cell\": \"<b>12</b>\", \"bbox\": [474, 338, 484, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0%\", \"bbox\": [101, 352, 113, 360]}, {\"cell\": \"9%\", \"bbox\": [148, 352, 160, 360]}, {\"cell\": \"0%\", \"bbox\": [194, 352, 206, 360]}, {\"cell\": \"0%\", \"bbox\": [241, 352, 253, 360]}, {\"cell\": \"0%\", \"bbox\": [287, 352, 299, 360]}, {\"cell\": \"5%\", \"bbox\": [334, 352, 346, 360]}, {\"cell\": \"0.00\", \"bbox\": [377, 352, 392, 360]}, {\"cell\": \"32%\", \"bbox\": [423, 352, 439, 360]}, {\"cell\": \"<b>55%</b>\", \"bbox\": [466, 352, 484, 362]}, {\"cell\": \"2012\", \"bbox\": [1, 367, 18, 375]}, {\"cell\": \"G-L4\", \"bbox\": [46, 367, 63, 375]}, {\"cell\": \"35.3\", \"bbox\": [98, 367, 113, 375]}, {\"cell\": \"<b>0</b>\", \"bbox\": [153, 367, 160, 377]}, {\"cell\": \"35.3\", \"bbox\": [191, 367, 206, 375]}, {\"cell\": \"36.2\", \"bbox\": [238, 367, 253, 375]}, {\"cell\": \"26.0\", \"bbox\": [284, 367, 299, 375]}, {\"cell\": \"0.6\", \"bbox\": [335, 367, 346, 375]}, {\"cell\": \"35.3\", \"bbox\": [377, 367, 392, 375]}, {\"cell\": \"24.2\", \"bbox\": [424, 367, 439, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 367, 484, 375]}, {\"cell\": \"2012\", \"bbox\": [1, 382, 18, 390]}, {\"cell\": \"G-L5\", \"bbox\": [46, 382, 63, 390]}, {\"cell\": \"66.3\", \"bbox\": [98, 382, 113, 390]}, {\"cell\": \"2.6\", \"bbox\": [148, 382, 160, 390]}, {\"cell\": \"67.0\", \"bbox\": [191, 382, 206, 390]}, {\"cell\": \"66.3\", \"bbox\": [238, 382, 253, 390]}, {\"cell\": \"42.1\", \"bbox\": [284, 382, 299, 390]}, {\"cell\": \"5.9\", \"bbox\": [335, 382, 346, 390]}, {\"cell\": \"–\", \"bbox\": [386, 382, 392, 390]}, {\"cell\": \"21.5\", \"bbox\": [424, 382, 439, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 382, 484, 391]}, {\"cell\": \"2012\", \"bbox\": [1, 396, 18, 404]}, {\"cell\": \"G-L6\", \"bbox\": [46, 396, 63, 404]}, {\"cell\": \"148.4\", \"bbox\": [94, 396, 113, 404]}, {\"cell\": \"131.4\", \"bbox\": [141, 396, 160, 404]}, {\"cell\": \"93.8\", \"bbox\": [191, 396, 206, 404]}, {\"cell\": \"93.7\", \"bbox\": [238, 396, 253, 404]}, {\"cell\": \"18.7\", \"bbox\": [284, 396, 299, 404]}, {\"cell\": \"18.7\", \"bbox\": [331, 396, 346, 404]}, {\"cell\": \"89.9\", \"bbox\": [377, 396, 392, 404]}, {\"cell\": \"<b>0</b>\", \"bbox\": [431, 396, 437, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 396, 484, 406]}, {\"cell\": \"2012\", \"bbox\": [1, 411, 18, 418]}, {\"cell\": \"G-L7\", \"bbox\": [46, 411, 63, 418]}, {\"cell\": \"38.3\", \"bbox\": [98, 411, 113, 418]}, {\"cell\": \"4.5\", \"bbox\": [148, 411, 160, 418]}, {\"cell\": \"40.3\", \"bbox\": [191, 411, 206, 418]}, {\"cell\": \"38.3\", \"bbox\": [238, 411, 253, 418]}, {\"cell\": \"36.3\", \"bbox\": [284, 411, 299, 418]}, {\"cell\": \"<b>0</b>\", \"bbox\": [339, 411, 346, 420]}, {\"cell\": \"42.3\", \"bbox\": [377, 411, 392, 418]}, {\"cell\": \"–\", \"bbox\": [433, 411, 439, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 411, 484, 418]}, {\"cell\": \"2012\", \"bbox\": [1, 425, 18, 433]}, {\"cell\": \"G-L8\", \"bbox\": [46, 425, 63, 433]}, {\"cell\": \"45.3\", \"bbox\": [98, 425, 113, 433]}, {\"cell\": \"39.8\", \"bbox\": [144, 425, 160, 433]}, {\"cell\": \"37.7\", \"bbox\": [191, 425, 206, 433]}, {\"cell\": \"33.5\", \"bbox\": [238, 425, 253, 433]}, {\"cell\": \"35.6\", \"bbox\": [284, 425, 299, 433]}, {\"cell\": \"37.3\", \"bbox\": [331, 425, 346, 433]}, {\"cell\": \"33.9\", \"bbox\": [377, 425, 392, 433]}, {\"cell\": \"1.9\", \"bbox\": [428, 425, 439, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 425, 484, 435]}, {\"cell\": \"2012\", \"bbox\": [1, 440, 18, 447]}, {\"cell\": \"G-L9\", \"bbox\": [46, 440, 63, 447]}, {\"cell\": \"402.3\", \"bbox\": [94, 440, 113, 447]}, {\"cell\": \"321.5\", \"bbox\": [141, 440, 160, 447]}, {\"cell\": \"200.9\", \"bbox\": [187, 440, 206, 447]}, {\"cell\": \"181.7\", \"bbox\": [234, 440, 253, 447]}, {\"cell\": \"81.9\", \"bbox\": [284, 440, 299, 447]}, {\"cell\": \"81.9\", \"bbox\": [331, 440, 346, 447]}, {\"cell\": \"191.6\", \"bbox\": [373, 440, 392, 447]}, {\"cell\": \"<b>0</b>\", \"bbox\": [432, 440, 439, 449]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 440, 484, 449]}, {\"cell\": \"2012\", \"bbox\": [1, 454, 18, 462]}, {\"cell\": \"G-L10\", \"bbox\": [46, 454, 66, 462]}, {\"cell\": \"39.7\", \"bbox\": [98, 454, 113, 462]}, {\"cell\": \"<b>0</b>\", \"bbox\": [153, 454, 160, 463]}, {\"cell\": \"41.5\", \"bbox\": [191, 454, 206, 462]}, {\"cell\": \"41.4\", \"bbox\": [238, 454, 253, 462]}, {\"cell\": \"22.1\", \"bbox\": [284, 454, 299, 462]}, {\"cell\": \"3.5\", \"bbox\": [335, 454, 346, 462]}, {\"cell\": \"43.5\", \"bbox\": [377, 454, 392, 462]}, {\"cell\": \"6.7\", \"bbox\": [428, 454, 439, 462]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 454, 484, 462]}, {\"cell\": \"2012\", \"bbox\": [1, 469, 18, 476]}, {\"cell\": \"G-L11\", \"bbox\": [46, 469, 66, 476]}, {\"cell\": \"18.0\", \"bbox\": [98, 469, 113, 476]}, {\"cell\": \"<b>0</b>\", \"bbox\": [153, 468, 160, 478]}, {\"cell\": \"19.7\", \"bbox\": [191, 469, 206, 476]}, {\"cell\": \"18.0\", \"bbox\": [238, 469, 253, 476]}, {\"cell\": \"8.4\", \"bbox\": [288, 469, 299, 476]}, {\"cell\": \"1.2\", \"bbox\": [335, 469, 346, 476]}, {\"cell\": \"21.6\", \"bbox\": [377, 469, 392, 476]}, {\"cell\": \"3.7\", \"bbox\": [428, 469, 439, 476]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 469, 484, 476]}, {\"cell\": \"2012\", \"bbox\": [1, 483, 18, 491]}, {\"cell\": \"P-L1\", \"bbox\": [46, 483, 62, 491]}, {\"cell\": \"189.5\", \"bbox\": [94, 483, 113, 491]}, {\"cell\": \"168.8\", \"bbox\": [141, 483, 160, 491]}, {\"cell\": \"158.9\", \"bbox\": [187, 483, 206, 491]}, {\"cell\": \"148.9\", \"bbox\": [234, 483, 253, 491]}, {\"cell\": \"146.3\", \"bbox\": [280, 483, 299, 491]}, {\"cell\": \"137.8\", \"bbox\": [327, 483, 346, 491]}, {\"cell\": \"149.1\", \"bbox\": [373, 483, 392, 491]}, {\"cell\": \"<b>0</b>\", \"bbox\": [432, 483, 439, 492]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 483, 484, 491]}, {\"cell\": \"2012\", \"bbox\": [1, 497, 18, 505]}, {\"cell\": \"P-L2\", \"bbox\": [46, 497, 62, 505]}, {\"cell\": \"127.4\", \"bbox\": [94, 497, 113, 505]}, {\"cell\": \"49.3\", \"bbox\": [144, 497, 160, 505]}, {\"cell\": \"129.1\", \"bbox\": [187, 497, 206, 505]}, {\"cell\": \"122.6\", \"bbox\": [234, 497, 253, 505]}, {\"cell\": \"129.7\", \"bbox\": [280, 497, 299, 505]}, {\"cell\": \"49.9\", \"bbox\": [331, 497, 346, 505]}, {\"cell\": \"123.9\", \"bbox\": [373, 497, 392, 505]}, {\"cell\": \"5.9\", \"bbox\": [428, 497, 439, 505]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 497, 484, 507]}, {\"cell\": \"2012\", \"bbox\": [1, 512, 18, 520]}, {\"cell\": \"P-L3\", \"bbox\": [46, 512, 62, 520]}, {\"cell\": \"107.8\", \"bbox\": [94, 512, 113, 520]}, {\"cell\": \"55.3\", \"bbox\": [144, 512, 160, 520]}, {\"cell\": \"103.1\", \"bbox\": [187, 512, 206, 520]}, {\"cell\": \"95.0\", \"bbox\": [238, 512, 253, 520]}, {\"cell\": \"101.0\", \"bbox\": [280, 512, 299, 520]}, {\"cell\": \"49.3\", \"bbox\": [331, 512, 346, 520]}, {\"cell\": \"96.1\", \"bbox\": [377, 512, 392, 520]}, {\"cell\": \"7.9\", \"bbox\": [428, 512, 439, 520]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 512, 484, 521]}, {\"cell\": \"2012\", \"bbox\": [1, 526, 18, 534]}, {\"cell\": \"P-L4\", \"bbox\": [46, 526, 62, 534]}, {\"cell\": \"226.3\", \"bbox\": [94, 526, 113, 534]}, {\"cell\": \"0.2\", \"bbox\": [148, 526, 160, 534]}, {\"cell\": \"226.3\", \"bbox\": [187, 526, 206, 534]}, {\"cell\": \"222.1\", \"bbox\": [234, 526, 253, 534]}, {\"cell\": \"226.3\", \"bbox\": [280, 526, 299, 534]}, {\"cell\": \"<b>0</b>\", \"bbox\": [339, 526, 346, 536]}, {\"cell\": \"226.3\", \"bbox\": [373, 526, 392, 534]}, {\"cell\": \"226.3\", \"bbox\": [420, 526, 439, 534]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 526, 484, 534]}, {\"cell\": \"2012\", \"bbox\": [1, 541, 18, 548]}, {\"cell\": \"P-L5\", \"bbox\": [46, 541, 62, 548]}, {\"cell\": \"13.2\", \"bbox\": [98, 541, 113, 548]}, {\"cell\": \"<b>0</b>\", \"bbox\": [153, 541, 160, 550]}, {\"cell\": \"13.2\", \"bbox\": [191, 541, 206, 548]}, {\"cell\": \"13.2\", \"bbox\": [238, 541, 253, 548]}, {\"cell\": \"11.9\", \"bbox\": [284, 541, 299, 548]}, {\"cell\": \"1.5\", \"bbox\": [335, 541, 346, 548]}, {\"cell\": \"13.2\", \"bbox\": [377, 541, 392, 548]}, {\"cell\": \"13.9\", \"bbox\": [424, 541, 439, 548]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 541, 484, 548]}, {\"cell\": \"2012\", \"bbox\": [1, 555, 18, 563]}, {\"cell\": \"P-L6\", \"bbox\": [46, 555, 62, 563]}, {\"cell\": \"79.0\", \"bbox\": [98, 555, 113, 563]}, {\"cell\": \"54.8\", \"bbox\": [144, 555, 160, 563]}, {\"cell\": \"70.4\", \"bbox\": [191, 555, 206, 563]}, {\"cell\": \"66.9\", \"bbox\": [238, 555, 253, 563]}, {\"cell\": \"65.8\", \"bbox\": [284, 555, 299, 563]}, {\"cell\": \"37.9\", \"bbox\": [331, 555, 346, 563]}, {\"cell\": \"67.0\", \"bbox\": [377, 555, 392, 563]}, {\"cell\": \"<b>0</b>\", \"bbox\": [432, 555, 439, 565]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 555, 484, 563]}, {\"cell\": \"Counts\", \"bbox\": [42, 570, 66, 578]}, {\"cell\": \"0\", \"bbox\": [107, 570, 113, 578]}, {\"cell\": \"4\", \"bbox\": [154, 570, 160, 578]}, {\"cell\": \"0\", \"bbox\": [200, 570, 206, 578]}, {\"cell\": \"0\", \"bbox\": [247, 570, 253, 578]}, {\"cell\": \"0\", \"bbox\": [293, 570, 299, 578]}, {\"cell\": \"2\", \"bbox\": [340, 570, 346, 578]}, {\"cell\": \"0\", \"bbox\": [386, 570, 392, 578]}, {\"cell\": \"4\", \"bbox\": [433, 570, 439, 578]}, {\"cell\": \"<b>6</b>\", \"bbox\": [478, 570, 484, 580]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0%\", \"bbox\": [101, 585, 113, 592]}, {\"cell\": \"29%\", \"bbox\": [144, 585, 160, 592]}, {\"cell\": \"0%\", \"bbox\": [194, 585, 206, 592]}, {\"cell\": \"0%\", \"bbox\": [241, 585, 253, 592]}, {\"cell\": \"0%\", \"bbox\": [287, 585, 299, 592]}, {\"cell\": \"14%\", \"bbox\": [330, 585, 346, 592]}, {\"cell\": \"0%\", \"bbox\": [381, 585, 392, 592]}, {\"cell\": \"29%\", \"bbox\": [423, 585, 439, 592]}, {\"cell\": \"<b>43%</b>\", \"bbox\": [466, 585, 484, 594]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4133075_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}193{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Target gene<sup>a</sup></b></td><td><b>Sequence of the primer (5′ → 3′)</b></td><td><b>Amplicon size (bp)</b></td><td><b>Accession number<sup>b</sup></b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\"><i>hylB</i></td><td>F: TGTCTCCGAGGTGACACTTGAACT</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">U15050.1/Y15903.1</td></tr><tr><td>R: TTGTGTTGTGACGGGTTGTGGATG</td></tr><tr><td rowspan=\\\"2\\\"><i>cylE</i></td><td>F: TCGGAACAAGTAAAGAGGGTTCGG</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">AF093787.2/AF157015.2</td></tr><tr><td>R: GGGTTTCCACAGTTGCTTGAATGT</td></tr><tr><td rowspan=\\\"2\\\">PI-1</td><td>F: AACCACTAGCAGGCGTTGTCTTTG</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">EU929540.1/EU929469.1</td></tr><tr><td>R: TGAGCCCGGAAATTCTGATATGCC</td></tr><tr><td rowspan=\\\"2\\\">PI-2a</td><td>F: GCCGTTAGATGTTGTCTTCGTACT</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">EU929374.1/EU929330.1</td></tr><tr><td>R: TTTACTGCGGTCCCAAGAGCTTC</td></tr><tr><td rowspan=\\\"2\\\">PI-2b</td><td>F: AAGTCTTGACCAAGGATACGACGC</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">EU929426.1/EU929391.1</td></tr><tr><td>R: ATCGTGTTACTTGCCCTGCGTA</td></tr><tr><td rowspan=\\\"2\\\"><i>ermA</i></td><td>F: CCGGCAAGGAGAAGGTTATAATGA</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">EU492925.1/EU492926.1</td></tr><tr><td>R: GCATTCACCCGTTGACTCATTTCC</td></tr><tr><td rowspan=\\\"2\\\"><i>ermB</i></td><td>F: GCTCTTGCACACTCAAGTCTCGAT</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">EF422365.1/DQ250996.1</td></tr><tr><td>R: ACATCTGTGGTATGGCGGGTAAGT</td></tr><tr><td><i>mefA/E</i></td><td>F: GCGATGGTCTTGTCTATGGCTTCA</td><td>[EMPTY_CELL]</td><td>DQ445273.1/DQ445269.1</td></tr><tr><td>[EMPTY_CELL]</td><td>R: AGCTGTTCCAATGCTACGGAT</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Target gene<sup>a</sup></b>\", \"bbox\": [1, 2, 47, 13]}, {\"cell\": \"<b>Sequence of the primer (5′ → 3′)</b>\", \"bbox\": [106, 4, 221, 13]}, {\"cell\": \"<b>Amplicon size (bp)</b>\", \"bbox\": [279, 4, 346, 13]}, {\"cell\": \"<b>Accession number<sup>b</sup></b>\", \"bbox\": [409, 2, 478, 13]}, {\"cell\": \"<i>hylB</i>\", \"bbox\": [17, 24, 31, 34]}, {\"cell\": \"F: TGTCTCCGAGGTGACACTTGAACT\", \"bbox\": [106, 17, 221, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 24, 319, 32]}, {\"cell\": \"U15050.1/Y15903.1\", \"bbox\": [412, 24, 475, 32]}, {\"cell\": \"R: TTGTGTTGTGACGGGTTGTGGATG\", \"bbox\": [106, 31, 220, 39]}, {\"cell\": \"<i>cylE</i>\", \"bbox\": [17, 52, 31, 62]}, {\"cell\": \"F: TCGGAACAAGTAAAGAGGGTTCGG\", \"bbox\": [104, 45, 223, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 52, 319, 60]}, {\"cell\": \"AF093787.2/AF157015.2\", \"bbox\": [405, 52, 482, 60]}, {\"cell\": \"R: GGGTTTCCACAGTTGCTTGAATGT\", \"bbox\": [107, 59, 220, 67]}, {\"cell\": \"PI-1\", \"bbox\": [17, 80, 31, 88]}, {\"cell\": \"F: AACCACTAGCAGGCGTTGTCTTTG\", \"bbox\": [106, 73, 221, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 80, 319, 88]}, {\"cell\": \"EU929540.1/EU929469.1\", \"bbox\": [404, 80, 483, 88]}, {\"cell\": \"R: TGAGCCCGGAAATTCTGATATGCC\", \"bbox\": [105, 87, 221, 95]}, {\"cell\": \"PI-2a\", \"bbox\": [15, 108, 33, 116]}, {\"cell\": \"F: GCCGTTAGATGTTGTCTTCGTACT\", \"bbox\": [108, 101, 219, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 108, 319, 116]}, {\"cell\": \"EU929374.1/EU929330.1\", \"bbox\": [404, 108, 483, 116]}, {\"cell\": \"R: TTTACTGCGGTCCCAAGAGCTTC\", \"bbox\": [109, 115, 218, 124]}, {\"cell\": \"PI-2b\", \"bbox\": [15, 136, 33, 144]}, {\"cell\": \"F: AAGTCTTGACCAAGGATACGACGC\", \"bbox\": [105, 129, 222, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 136, 319, 144]}, {\"cell\": \"EU929426.1/EU929391.1\", \"bbox\": [404, 136, 483, 144]}, {\"cell\": \"R: ATCGTGTTACTTGCCCTGCGTA\", \"bbox\": [111, 143, 216, 151]}, {\"cell\": \"<i>ermA</i>\", \"bbox\": [15, 164, 33, 174]}, {\"cell\": \"F: CCGGCAAGGAGAAGGTTATAATGA\", \"bbox\": [104, 157, 223, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 164, 319, 172]}, {\"cell\": \"EU492925.1/EU492926.1\", \"bbox\": [404, 164, 483, 172]}, {\"cell\": \"R: GCATTCACCCGTTGACTCATTTCC\", \"bbox\": [107, 171, 220, 179]}, {\"cell\": \"<i>ermB</i>\", \"bbox\": [15, 192, 33, 202]}, {\"cell\": \"F: GCTCTTGCACACTCAAGTCTCGAT\", \"bbox\": [107, 185, 220, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 192, 319, 200]}, {\"cell\": \"EF422365.1/DQ250996.1\", \"bbox\": [404, 192, 483, 200]}, {\"cell\": \"R: ACATCTGTGGTATGGCGGGTAAGT\", \"bbox\": [105, 199, 222, 207]}, {\"cell\": \"<i>mefA/E</i>\", \"bbox\": [12, 220, 36, 230]}, {\"cell\": \"F: GCGATGGTCTTGTCTATGGCTTCA\", \"bbox\": [107, 213, 220, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 220, 319, 229]}, {\"cell\": \"DQ445273.1/DQ445269.1\", \"bbox\": [403, 220, 484, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"R: AGCTGTTCCAATGCTACGGAT\", \"bbox\": [112, 227, 214, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3878097_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}194{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Risk Factor</b></td><td><b>Recommendation</b></td></tr></thead><tbody><tr><td rowspan=\\\"5\\\">1. 45 % died at home without calling for help and Personal Asthma Action Plans (PAAPs) had only been issued to 23 %</td><td>[EMPTY_CELL]</td></tr><tr><td>• asthma triggers,</td></tr><tr><td>• current therapy,</td></tr><tr><td>• advice on treatment escalation and</td></tr><tr><td>• how to call for help</td></tr><tr><td>2. Failure to phenotype asthma or identify triggers in >51 %</td><td>[EMPTY_CELL]</td></tr><tr><td>3. No evidence of a review in general practice in the last yr for 43 %</td><td>[EMPTY_CELL]</td></tr><tr><td>4. 10 % died within 28d of hospital discharge and 21 % died within 12mo of attendance in ED</td><td>[EMPTY_CELL]</td></tr><tr><td>5. Excessive prescribing of SABA (39 % issued with >12 devices in previous 12mo) inadequate uptake of ICS with 38 % issued <4 devices in previous 12 mo</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Risk Factor</b>\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"<b>Recommendation</b>\", \"bbox\": [113, 4, 172, 13]}, {\"cell\": \"1. 45 % died at home without calling for help and Personal Asthma Action Plans (PAAPs) had only been issued to 23 %\", \"bbox\": [1, 17, 106, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 17, 213, 36]}, {\"cell\": \"• asthma triggers,\", \"bbox\": [113, 40, 171, 50]}, {\"cell\": \"• current therapy,\", \"bbox\": [113, 54, 170, 64]}, {\"cell\": \"• advice on treatment escalation and\", \"bbox\": [113, 68, 233, 78]}, {\"cell\": \"• how to call for help\", \"bbox\": [113, 82, 183, 92]}, {\"cell\": \"2. Failure to phenotype asthma or identify triggers in >51 %\", \"bbox\": [1, 96, 103, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 96, 223, 124]}, {\"cell\": \"3. No evidence of a review in general practice in the last yr for 43 %\", \"bbox\": [1, 128, 104, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 128, 237, 156]}, {\"cell\": \"4. 10 % died within 28d of hospital discharge and 21 % died within 12mo of attendance in ED\", \"bbox\": [1, 160, 101, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 160, 230, 197]}, {\"cell\": \"5. Excessive prescribing of SABA (39 % issued with >12 devices in previous 12mo) inadequate uptake of ICS with 38 % issued <4 devices in previous 12 mo\", \"bbox\": [0, 201, 109, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [113, 201, 236, 247]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4952053_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}195{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Algorithm setting</b></td><td><b>DIA-0</b></td><td><b>DIA-1</b></td><td><b>DIA-2</b></td></tr></thead><tbody><tr><td>Averaging radius (μ)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>Curvature threshold</td><td>[EMPTY_CELL]</td><td>2.5</td><td>2.5</td></tr><tr><td>Segmentation type</td><td>[EMPTY_CELL]</td><td>Cytoplasm rejection</td><td>Cytoplasm rejection</td></tr><tr><td>Threshold type</td><td>[EMPTY_CELL]</td><td>Edge threshold</td><td>Edge threshold</td></tr><tr><td>Lower intensity threshold</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td></tr><tr><td><b>Upper intensity threshold</b></td><td>[EMPTY_CELL]</td><td><b>230</b></td><td><b>230</b></td></tr><tr><td><b>Min. nuclear size (</b>μ<sup>2</sup><b>)</b></td><td>[EMPTY_CELL]</td><td><b>45</b></td><td><b>40</b></td></tr><tr><td><b>Max. nuclear size (</b>μ<sup>2</sup><b>)</b></td><td>[EMPTY_CELL]</td><td><b>1,000</b></td><td><b>1,000</b></td></tr><tr><td>Min, roundness</td><td>[EMPTY_CELL]</td><td>0.1</td><td>0.1</td></tr><tr><td><b>Min. compactness</b></td><td>[EMPTY_CELL]</td><td><b>0</b></td><td><b>0.2</b></td></tr><tr><td><b>Min. elongation</b></td><td>[EMPTY_CELL]</td><td><b>0.1</b></td><td><b>0.2</b></td></tr><tr><td>Remove light objects</td><td>[EMPTY_CELL]</td><td>removes no nuclei</td><td>removes no nuclei</td></tr><tr><td><b>Weak (1+) threshold</b></td><td>[EMPTY_CELL]</td><td><b>210</b></td><td><b>229</b></td></tr><tr><td>Moderate (2+) threshold</td><td>[EMPTY_CELL]</td><td>188</td><td>188</td></tr><tr><td>Strong (3+) threshold</td><td>[EMPTY_CELL]</td><td>162</td><td>162</td></tr><tr><td>Black threshold</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td></tr><tr><td>Edge trimming</td><td>[EMPTY_CELL]</td><td>Weighted</td><td>Weighted</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Algorithm setting</b>\", \"bbox\": [1, 4, 61, 13]}, {\"cell\": \"<b>DIA-0</b>\", \"bbox\": [87, 4, 107, 13]}, {\"cell\": \"<b>DIA-1</b>\", \"bbox\": [144, 4, 165, 13]}, {\"cell\": \"<b>DIA-2</b>\", \"bbox\": [202, 4, 223, 13]}, {\"cell\": \"Averaging radius (μ)\", \"bbox\": [1, 17, 64, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 17, 100, 27]}, {\"cell\": \"1\", \"bbox\": [152, 17, 158, 27]}, {\"cell\": \"1\", \"bbox\": [209, 17, 215, 27]}, {\"cell\": \"Curvature threshold\", \"bbox\": [1, 31, 63, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 31, 102, 41]}, {\"cell\": \"2.5\", \"bbox\": [149, 31, 160, 41]}, {\"cell\": \"2.5\", \"bbox\": [207, 31, 218, 41]}, {\"cell\": \"Segmentation type\", \"bbox\": [1, 45, 61, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 45, 114, 64]}, {\"cell\": \"Cytoplasm rejection\", \"bbox\": [138, 45, 172, 64]}, {\"cell\": \"Cytoplasm rejection\", \"bbox\": [195, 45, 229, 64]}, {\"cell\": \"Threshold type\", \"bbox\": [1, 68, 48, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [73, 68, 121, 78]}, {\"cell\": \"Edge threshold\", \"bbox\": [131, 68, 179, 78]}, {\"cell\": \"Edge threshold\", \"bbox\": [188, 68, 236, 78]}, {\"cell\": \"Lower intensity threshold\", \"bbox\": [1, 82, 49, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 82, 100, 92]}, {\"cell\": \"0\", \"bbox\": [152, 82, 158, 92]}, {\"cell\": \"0\", \"bbox\": [209, 82, 215, 92]}, {\"cell\": \"<b>Upper intensity threshold</b>\", \"bbox\": [1, 105, 54, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 105, 104, 115]}, {\"cell\": \"<b>230</b>\", \"bbox\": [147, 105, 162, 115]}, {\"cell\": \"<b>230</b>\", \"bbox\": [205, 105, 219, 115]}, {\"cell\": \"<b>Min. nuclear size (</b>μ<sup>2</sup><b>)</b>\", \"bbox\": [1, 128, 43, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 128, 102, 138]}, {\"cell\": \"<b>45</b>\", \"bbox\": [149, 128, 160, 138]}, {\"cell\": \"<b>40</b>\", \"bbox\": [207, 128, 217, 138]}, {\"cell\": \"<b>Max. nuclear size (</b>μ<sup>2</sup><b>)</b>\", \"bbox\": [1, 151, 45, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 151, 114, 161]}, {\"cell\": \"<b>1,000</b>\", \"bbox\": [145, 151, 165, 161]}, {\"cell\": \"<b>1,000</b>\", \"bbox\": [202, 151, 222, 161]}, {\"cell\": \"Min, roundness\", \"bbox\": [1, 174, 49, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 174, 102, 184]}, {\"cell\": \"0.1\", \"bbox\": [149, 174, 160, 184]}, {\"cell\": \"0.1\", \"bbox\": [207, 174, 218, 184]}, {\"cell\": \"<b>Min. compactness</b>\", \"bbox\": [1, 188, 62, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 188, 100, 198]}, {\"cell\": \"<b>0</b>\", \"bbox\": [152, 188, 158, 198]}, {\"cell\": \"<b>0.2</b>\", \"bbox\": [206, 188, 218, 198]}, {\"cell\": \"<b>Min. elongation</b>\", \"bbox\": [1, 202, 55, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 202, 103, 212]}, {\"cell\": \"<b>0.1</b>\", \"bbox\": [149, 202, 161, 212]}, {\"cell\": \"<b>0.2</b>\", \"bbox\": [206, 202, 218, 212]}, {\"cell\": \"Remove light objects\", \"bbox\": [1, 216, 43, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 216, 112, 235]}, {\"cell\": \"removes no nuclei\", \"bbox\": [139, 216, 170, 235]}, {\"cell\": \"removes no nuclei\", \"bbox\": [197, 216, 227, 235]}, {\"cell\": \"<b>Weak (1+) threshold</b>\", \"bbox\": [1, 239, 36, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 239, 104, 249]}, {\"cell\": \"<b>210</b>\", \"bbox\": [147, 239, 162, 249]}, {\"cell\": \"<b>229</b>\", \"bbox\": [205, 239, 219, 249]}, {\"cell\": \"Moderate (2+) threshold\", \"bbox\": [1, 262, 46, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 262, 104, 272]}, {\"cell\": \"188\", \"bbox\": [148, 262, 161, 272]}, {\"cell\": \"188\", \"bbox\": [206, 262, 219, 272]}, {\"cell\": \"Strong (3+) threshold\", \"bbox\": [1, 285, 37, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 285, 104, 295]}, {\"cell\": \"162\", \"bbox\": [148, 285, 161, 295]}, {\"cell\": \"162\", \"bbox\": [206, 285, 219, 295]}, {\"cell\": \"Black threshold\", \"bbox\": [1, 308, 49, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 308, 100, 318]}, {\"cell\": \"0\", \"bbox\": [152, 308, 158, 318]}, {\"cell\": \"0\", \"bbox\": [209, 308, 215, 318]}, {\"cell\": \"Edge trimming\", \"bbox\": [1, 322, 48, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 322, 113, 332]}, {\"cell\": \"Weighted\", \"bbox\": [139, 322, 171, 332]}, {\"cell\": \"Weighted\", \"bbox\": [196, 322, 228, 332]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4053156_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}196{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Scenarios</b></td><td><b>A*</b></td><td><b>B*</b></td><td><b>C*</b></td><td><b>D*</b></td><td><b>E*</b></td><td><b>F*</b></td><td><b>G*</b></td><td><b>H*</b></td><td colspan=\\\"2\\\"><b>WD<sup>1</sup></b></td></tr></thead><tbody><tr><td><b>Location</b></td><td><b>MEA/CF/NGD</b></td><td><b>MEA/CFP/NGD</b></td><td><b>DI/CF/NGD</b></td><td><b>DI/CFP/NGD</b></td><td><b>MEA/CF/WHD</b></td><td><b>MEA/CFP/WHD</b></td><td><b>DI/CF/WHD</b></td><td>[EMPTY_CELL]</td><td><b>CFP</b></td><td><b>CF</b></td></tr><tr><td>Mobile, AL</td><td>0.40 (44.2)</td><td>0.46 (22.5)</td><td>0.49 (18.9)</td><td>0.59 (−2.8)</td><td>0.60 (−0.4)</td><td>0.68 (−15.1)</td><td>0.86 (−25.7)</td><td>[EMPTY_CELL]</td><td>22.1</td><td>22.3</td></tr><tr><td>Phoenix, AZ</td><td>0.38 (48.9)</td><td>0.43 (28.4)</td><td>0.47 (23.5)</td><td>0.56 (3.0)</td><td>0.57 (4.2)</td><td>0.64 (−9.2)</td><td>0.79 (−21.2)</td><td>[EMPTY_CELL]</td><td>38.6</td><td>38.8</td></tr><tr><td>San Diego, CA</td><td>0.41 (32.0)</td><td>0.46 (16.0)</td><td>0.51 (6.3)</td><td>0.60 (−9.6)</td><td>0.63 (−12.6)</td><td>0.69 (−21.5)</td><td>0.91 (−38.3)</td><td>[EMPTY_CELL]</td><td>32.8</td><td>33.0</td></tr><tr><td>Daytona Beach, FL</td><td>0.38 (43.0)</td><td>0.44 (22.7)</td><td>0.47 (17.5)</td><td>0.57 (−2.7)</td><td>0.58 (−1.6)</td><td>0.66 (−14.8)</td><td>0.81 (−27.1)</td><td>[EMPTY_CELL]</td><td>24.1</td><td>24.3</td></tr><tr><td>Jacksonville, FL</td><td>0.38 (43.1)</td><td>0.44 (22.8)</td><td>0.47 (17.7)</td><td>0.57 (−2.6)</td><td>0.58 (−1.5)</td><td>0.66 (−14.7)</td><td>0.81 (−27.0)</td><td>[EMPTY_CELL]</td><td>22.6</td><td>22.9</td></tr><tr><td>Key West, FL</td><td>0.38 (43.6)</td><td>0.44 (23.4)</td><td>0.47 (18.2)</td><td>0.57 (−2.1)</td><td>0.57 (−1.0)</td><td>0.65 (−14.2)</td><td>0.80 (−26.4)</td><td>[EMPTY_CELL]</td><td>28.4</td><td>28.6</td></tr><tr><td>Miami, FL</td><td>0.38 (42.7)</td><td>0.44 (22.5)</td><td>0.48 (17.3)</td><td>0.57 (−3.0)</td><td>0.58 (−1.9)</td><td>0.66 (−15.1)</td><td>0.81 (−27.3)</td><td>[EMPTY_CELL]</td><td>22.1</td><td>22.4</td></tr><tr><td>Tallahassee, FL</td><td>0.39 (42.4)</td><td>0.44 (22.2)</td><td>0.48 (17.0)</td><td>0.57 (−3.2)</td><td>0.58 (−2.2)</td><td>0.66 (−15.4)</td><td>0.82 (−27.6)</td><td>[EMPTY_CELL]</td><td>20.8</td><td>21.1</td></tr><tr><td>Tampa, FL</td><td>0.38 (43.2)</td><td>0.44 (23.0)</td><td>0.47 (17.8)</td><td>0.57 (−2.5)</td><td>0.58 (−1.4)</td><td>0.65 (−14.6)</td><td>0.81 (−26.8)</td><td>[EMPTY_CELL]</td><td>25.1</td><td>25.4</td></tr><tr><td>West Palm Beach, FL</td><td>0.38 (43.0)</td><td>0.44 (22.7)</td><td>0.47 (17.6)</td><td>0.57 (−2.7)</td><td>0.58 (−1.6)</td><td>0.66 (−14.8)</td><td>0.81 (−27.0)</td><td>[EMPTY_CELL]</td><td>22.9</td><td>23.1</td></tr><tr><td>Savannah, GA</td><td>0.39 (45.0)</td><td>0.45 (23.2)</td><td>0.49 (19.7)</td><td>0.59 (−2.1)</td><td>0.60 (0.4)</td><td>0.68 (−14.3)</td><td>0.86 (−24.9)</td><td>[EMPTY_CELL]</td><td>24.1</td><td>24.4</td></tr><tr><td>Baton Rouge, LA</td><td>0.39 (39.2)</td><td>0.45 (20.8)</td><td>0.49 (13.6)</td><td>0.58 (−4.7)</td><td>0.60 (−5.4)</td><td>0.67 (−16.8)</td><td>0.86 (−31.0)</td><td>[EMPTY_CELL]</td><td>22.6</td><td>22.8</td></tr><tr><td>Lake Charles, LA</td><td>0.39 (39.0)</td><td>0.45 (20.6)</td><td>0.49 (13.5)</td><td>0.58 (−4.9)</td><td>0.60 (−5.6)</td><td>0.67 (−16.9)</td><td>0.86 (−31.1)</td><td>[EMPTY_CELL]</td><td>23.0</td><td>23.2</td></tr><tr><td>New Orleans, LA</td><td>0.40 (38.9)</td><td>0.45 (20.5)</td><td>0.49 (13.4)</td><td>0.58 (−5.0)</td><td>0.60 (−5.7)</td><td>0.67 (−17.0)</td><td>0.86 (−31.2)</td><td>[EMPTY_CELL]</td><td>22.1</td><td>22.3</td></tr><tr><td>Austin, TX</td><td>0.39 (41.5)</td><td>0.45 (20.6)</td><td>0.49 (16.1)</td><td>0.59 (−4.8)</td><td>0.59 (−3.1)</td><td>0.68 (−16.9)</td><td>0.85 (−28.5)</td><td>[EMPTY_CELL]</td><td>29.8</td><td>30.0</td></tr><tr><td>Brownsville, TX</td><td>0.39 (41.8)</td><td>0.45 (20.9)</td><td>0.49 (16.4)</td><td>0.58 (−4.5)</td><td>0.59 (−2.8)</td><td>0.68 (−16.6)</td><td>0.84 (−28.2)</td><td>[EMPTY_CELL]</td><td>30.6</td><td>30.8</td></tr><tr><td>Corpus Christi, TX</td><td>0.39 (42.1)</td><td>0.45 (21.3)</td><td>0.48 (16.8)</td><td>0.58 (−4.1)</td><td>0.59 (−2.5)</td><td>0.67 (−16.3)</td><td>0.84 (−27.8)</td><td>[EMPTY_CELL]</td><td>29.7</td><td>29.9</td></tr><tr><td>Houston, TX</td><td>0.39 (42.0)</td><td>0.45 (21.1)</td><td>0.49 (16.7)</td><td>0.58 (−4.2)</td><td>0.59 (−2.6)</td><td>0.67 (−16.4)</td><td>0.84 (−27.9)</td><td>[EMPTY_CELL]</td><td>25.6</td><td>25.8</td></tr><tr><td>Lufkin, TX</td><td>0.39 (41.5)</td><td>0.45 (20.6)</td><td>0.49 (16.1)</td><td>0.59 (−4.8)</td><td>0.59 (−3.1)</td><td>0.68 (−16.9)</td><td>0.85 (−28.5)</td><td>[EMPTY_CELL]</td><td>26.1</td><td>26.3</td></tr><tr><td>Port Arthur, TX</td><td>0.40 (35.2)</td><td>0.46 (16.9)</td><td>0.51 (9.7)</td><td>0.60 (−8.6)</td><td>0.62 (−9.4)</td><td>0.70 (−20.6)</td><td>0.91 (−34.9)</td><td>[EMPTY_CELL]</td><td>22.8</td><td>23.0</td></tr><tr><td>San Antonio, TX</td><td>0.39 (41.3)</td><td>0.45 (20.4)</td><td>0.49 (16.0)</td><td>0.59 (−4.9)</td><td>0.60 (−3.3)</td><td>0.68 (−17.1)</td><td>0.85 (−28.6)</td><td>[EMPTY_CELL]</td><td>29.9</td><td>30.1</td></tr><tr><td>Victoria, TX</td><td>0.39 (41.9)</td><td>0.45 (21.0)</td><td>0.49 (16.5)</td><td>0.58 (−4.4)</td><td>0.59 (−2.7)</td><td>0.68 (−16.5)</td><td>0.84 (−28.1)</td><td>[EMPTY_CELL]</td><td>27.4</td><td>27.7</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Scenarios</b>\", \"bbox\": [18, 4, 52, 12]}, {\"cell\": \"<b>A*</b>\", \"bbox\": [90, 4, 101, 12]}, {\"cell\": \"<b>B*</b>\", \"bbox\": [141, 4, 151, 12]}, {\"cell\": \"<b>C*</b>\", \"bbox\": [187, 4, 197, 12]}, {\"cell\": \"<b>D*</b>\", \"bbox\": [229, 4, 240, 12]}, {\"cell\": \"<b>E*</b>\", \"bbox\": [276, 4, 286, 12]}, {\"cell\": \"<b>F*</b>\", \"bbox\": [328, 4, 337, 12]}, {\"cell\": \"<b>G*</b>\", \"bbox\": [376, 4, 386, 12]}, {\"cell\": \"<b>H*</b>\", \"bbox\": [420, 4, 431, 12]}, {\"cell\": \"<b>WD<sup>1</sup></b>\", \"bbox\": [459, 2, 476, 12]}, {\"cell\": \"<b>Location</b>\", \"bbox\": [19, 17, 51, 25]}, {\"cell\": \"<b>MEA/CF/NGD</b>\", \"bbox\": [80, 17, 111, 34]}, {\"cell\": \"<b>MEA/CFP/NGD</b>\", \"bbox\": [127, 17, 164, 34]}, {\"cell\": \"<b>DI/CF/NGD</b>\", \"bbox\": [180, 17, 204, 34]}, {\"cell\": \"<b>DI/CFP/NGD</b>\", \"bbox\": [220, 17, 248, 34]}, {\"cell\": \"<b>MEA/CF/WHD</b>\", \"bbox\": [265, 17, 297, 34]}, {\"cell\": \"<b>MEA/CFP/WHD</b>\", \"bbox\": [315, 17, 351, 34]}, {\"cell\": \"<b>DI/CF/WHD</b>\", \"bbox\": [369, 17, 393, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [412, 17, 440, 34]}, {\"cell\": \"<b>CFP</b>\", \"bbox\": [451, 17, 466, 25]}, {\"cell\": \"<b>CF</b>\", \"bbox\": [472, 17, 482, 25]}, {\"cell\": \"Mobile, AL\", \"bbox\": [17, 40, 53, 50]}, {\"cell\": \"0.40 (44.2)\", \"bbox\": [78, 40, 113, 50]}, {\"cell\": \"0.46 (22.5)\", \"bbox\": [128, 40, 163, 50]}, {\"cell\": \"0.49 (18.9)\", \"bbox\": [175, 40, 209, 50]}, {\"cell\": \"0.59 (−2.8)\", \"bbox\": [217, 40, 252, 50]}, {\"cell\": \"0.60 (−0.4)\", \"bbox\": [264, 40, 299, 50]}, {\"cell\": \"0.68 (−15.1)\", \"bbox\": [313, 40, 352, 50]}, {\"cell\": \"0.86 (−25.7)\", \"bbox\": [362, 40, 401, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 40, 445, 50]}, {\"cell\": \"22.1\", \"bbox\": [451, 40, 466, 50]}, {\"cell\": \"22.3\", \"bbox\": [470, 40, 484, 50]}, {\"cell\": \"Phoenix, AZ\", \"bbox\": [15, 54, 55, 64]}, {\"cell\": \"0.38 (48.9)\", \"bbox\": [78, 54, 113, 64]}, {\"cell\": \"0.43 (28.4)\", \"bbox\": [128, 54, 163, 64]}, {\"cell\": \"0.47 (23.5)\", \"bbox\": [175, 54, 209, 64]}, {\"cell\": \"0.56 (3.0)\", \"bbox\": [219, 54, 249, 64]}, {\"cell\": \"0.57 (4.2)\", \"bbox\": [266, 54, 296, 64]}, {\"cell\": \"0.64 (−9.2)\", \"bbox\": [315, 54, 350, 64]}, {\"cell\": \"0.79 (−21.2)\", \"bbox\": [362, 54, 401, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 54, 445, 64]}, {\"cell\": \"38.6\", \"bbox\": [451, 54, 466, 64]}, {\"cell\": \"38.8\", \"bbox\": [470, 54, 484, 64]}, {\"cell\": \"San Diego, CA\", \"bbox\": [11, 68, 59, 78]}, {\"cell\": \"0.41 (32.0)\", \"bbox\": [78, 68, 113, 78]}, {\"cell\": \"0.46 (16.0)\", \"bbox\": [128, 68, 163, 78]}, {\"cell\": \"0.51 (6.3)\", \"bbox\": [177, 68, 207, 78]}, {\"cell\": \"0.60 (−9.6)\", \"bbox\": [217, 68, 252, 78]}, {\"cell\": \"0.63 (−12.6)\", \"bbox\": [262, 68, 301, 78]}, {\"cell\": \"0.69 (−21.5)\", \"bbox\": [313, 68, 352, 78]}, {\"cell\": \"0.91 (−38.3)\", \"bbox\": [362, 68, 401, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 68, 445, 78]}, {\"cell\": \"32.8\", \"bbox\": [451, 68, 466, 78]}, {\"cell\": \"33.0\", \"bbox\": [470, 68, 484, 78]}, {\"cell\": \"Daytona Beach, FL\", \"bbox\": [4, 82, 66, 92]}, {\"cell\": \"0.38 (43.0)\", \"bbox\": [78, 82, 113, 92]}, {\"cell\": \"0.44 (22.7)\", \"bbox\": [128, 82, 163, 92]}, {\"cell\": \"0.47 (17.5)\", \"bbox\": [175, 82, 209, 92]}, {\"cell\": \"0.57 (−2.7)\", \"bbox\": [217, 82, 252, 92]}, {\"cell\": \"0.58 (−1.6)\", \"bbox\": [264, 82, 299, 92]}, {\"cell\": \"0.66 (−14.8)\", \"bbox\": [313, 82, 352, 92]}, {\"cell\": \"0.81 (−27.1)\", \"bbox\": [362, 82, 401, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 82, 445, 92]}, {\"cell\": \"24.1\", \"bbox\": [451, 82, 466, 92]}, {\"cell\": \"24.3\", \"bbox\": [470, 82, 484, 92]}, {\"cell\": \"Jacksonville, FL\", \"bbox\": [10, 96, 60, 106]}, {\"cell\": \"0.38 (43.1)\", \"bbox\": [78, 96, 113, 106]}, {\"cell\": \"0.44 (22.8)\", \"bbox\": [128, 96, 163, 106]}, {\"cell\": \"0.47 (17.7)\", \"bbox\": [175, 96, 209, 106]}, {\"cell\": \"0.57 (−2.6)\", \"bbox\": [217, 96, 252, 106]}, {\"cell\": \"0.58 (−1.5)\", \"bbox\": [264, 96, 299, 106]}, {\"cell\": \"0.66 (−14.7)\", \"bbox\": [313, 96, 352, 106]}, {\"cell\": \"0.81 (−27.0)\", \"bbox\": [362, 96, 401, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 96, 445, 106]}, {\"cell\": \"22.6\", \"bbox\": [451, 96, 466, 106]}, {\"cell\": \"22.9\", \"bbox\": [470, 96, 484, 106]}, {\"cell\": \"Key West, FL\", \"bbox\": [14, 110, 56, 120]}, {\"cell\": \"0.38 (43.6)\", \"bbox\": [78, 110, 113, 120]}, {\"cell\": \"0.44 (23.4)\", \"bbox\": [128, 110, 163, 120]}, {\"cell\": \"0.47 (18.2)\", \"bbox\": [175, 110, 209, 120]}, {\"cell\": \"0.57 (−2.1)\", \"bbox\": [217, 110, 252, 120]}, {\"cell\": \"0.57 (−1.0)\", \"bbox\": [264, 110, 299, 120]}, {\"cell\": \"0.65 (−14.2)\", \"bbox\": [313, 110, 352, 120]}, {\"cell\": \"0.80 (−26.4)\", \"bbox\": [362, 110, 401, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 110, 445, 120]}, {\"cell\": \"28.4\", \"bbox\": [451, 110, 466, 120]}, {\"cell\": \"28.6\", \"bbox\": [470, 110, 484, 120]}, {\"cell\": \"Miami, FL\", \"bbox\": [19, 124, 51, 134]}, {\"cell\": \"0.38 (42.7)\", \"bbox\": [78, 124, 113, 134]}, {\"cell\": \"0.44 (22.5)\", \"bbox\": [128, 124, 163, 134]}, {\"cell\": \"0.48 (17.3)\", \"bbox\": [175, 124, 209, 134]}, {\"cell\": \"0.57 (−3.0)\", \"bbox\": [217, 124, 252, 134]}, {\"cell\": \"0.58 (−1.9)\", \"bbox\": [264, 124, 299, 134]}, {\"cell\": \"0.66 (−15.1)\", \"bbox\": [313, 124, 352, 134]}, {\"cell\": \"0.81 (−27.3)\", \"bbox\": [362, 124, 401, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 124, 445, 134]}, {\"cell\": \"22.1\", \"bbox\": [451, 124, 466, 134]}, {\"cell\": \"22.4\", \"bbox\": [470, 124, 484, 134]}, {\"cell\": \"Tallahassee, FL\", \"bbox\": [11, 138, 59, 148]}, {\"cell\": \"0.39 (42.4)\", \"bbox\": [78, 138, 113, 148]}, {\"cell\": \"0.44 (22.2)\", \"bbox\": [128, 138, 163, 148]}, {\"cell\": \"0.48 (17.0)\", \"bbox\": [175, 138, 209, 148]}, {\"cell\": \"0.57 (−3.2)\", \"bbox\": [217, 138, 252, 148]}, {\"cell\": \"0.58 (−2.2)\", \"bbox\": [264, 138, 299, 148]}, {\"cell\": \"0.66 (−15.4)\", \"bbox\": [313, 138, 352, 148]}, {\"cell\": \"0.82 (−27.6)\", \"bbox\": [362, 138, 401, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 138, 445, 148]}, {\"cell\": \"20.8\", \"bbox\": [451, 138, 466, 148]}, {\"cell\": \"21.1\", \"bbox\": [470, 138, 484, 148]}, {\"cell\": \"Tampa, FL\", \"bbox\": [18, 152, 52, 162]}, {\"cell\": \"0.38 (43.2)\", \"bbox\": [78, 152, 113, 162]}, {\"cell\": \"0.44 (23.0)\", \"bbox\": [128, 152, 163, 162]}, {\"cell\": \"0.47 (17.8)\", \"bbox\": [175, 152, 209, 162]}, {\"cell\": \"0.57 (−2.5)\", \"bbox\": [217, 152, 252, 162]}, {\"cell\": \"0.58 (−1.4)\", \"bbox\": [264, 152, 299, 162]}, {\"cell\": \"0.65 (−14.6)\", \"bbox\": [313, 152, 352, 162]}, {\"cell\": \"0.81 (−26.8)\", \"bbox\": [362, 152, 401, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 152, 445, 162]}, {\"cell\": \"25.1\", \"bbox\": [451, 152, 466, 162]}, {\"cell\": \"25.4\", \"bbox\": [470, 152, 484, 162]}, {\"cell\": \"West Palm Beach, FL\", \"bbox\": [1, 166, 69, 176]}, {\"cell\": \"0.38 (43.0)\", \"bbox\": [78, 166, 113, 176]}, {\"cell\": \"0.44 (22.7)\", \"bbox\": [128, 166, 163, 176]}, {\"cell\": \"0.47 (17.6)\", \"bbox\": [175, 166, 209, 176]}, {\"cell\": \"0.57 (−2.7)\", \"bbox\": [217, 166, 252, 176]}, {\"cell\": \"0.58 (−1.6)\", \"bbox\": [264, 166, 299, 176]}, {\"cell\": \"0.66 (−14.8)\", \"bbox\": [313, 166, 352, 176]}, {\"cell\": \"0.81 (−27.0)\", \"bbox\": [362, 166, 401, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 166, 445, 176]}, {\"cell\": \"22.9\", \"bbox\": [451, 166, 466, 176]}, {\"cell\": \"23.1\", \"bbox\": [470, 166, 484, 176]}, {\"cell\": \"Savannah, GA\", \"bbox\": [12, 180, 58, 190]}, {\"cell\": \"0.39 (45.0)\", \"bbox\": [78, 180, 113, 190]}, {\"cell\": \"0.45 (23.2)\", \"bbox\": [128, 180, 163, 190]}, {\"cell\": \"0.49 (19.7)\", \"bbox\": [175, 180, 209, 190]}, {\"cell\": \"0.59 (−2.1)\", \"bbox\": [217, 180, 252, 190]}, {\"cell\": \"0.60 (0.4)\", \"bbox\": [266, 180, 296, 190]}, {\"cell\": \"0.68 (−14.3)\", \"bbox\": [313, 180, 352, 190]}, {\"cell\": \"0.86 (−24.9)\", \"bbox\": [362, 180, 401, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 180, 445, 190]}, {\"cell\": \"24.1\", \"bbox\": [451, 180, 466, 190]}, {\"cell\": \"24.4\", \"bbox\": [470, 180, 484, 190]}, {\"cell\": \"Baton Rouge, LA\", \"bbox\": [7, 194, 63, 204]}, {\"cell\": \"0.39 (39.2)\", \"bbox\": [78, 194, 113, 204]}, {\"cell\": \"0.45 (20.8)\", \"bbox\": [128, 194, 163, 204]}, {\"cell\": \"0.49 (13.6)\", \"bbox\": [175, 194, 209, 204]}, {\"cell\": \"0.58 (−4.7)\", \"bbox\": [217, 194, 252, 204]}, {\"cell\": \"0.60 (−5.4)\", \"bbox\": [264, 194, 299, 204]}, {\"cell\": \"0.67 (−16.8)\", \"bbox\": [313, 194, 352, 204]}, {\"cell\": \"0.86 (−31.0)\", \"bbox\": [362, 194, 401, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 194, 445, 204]}, {\"cell\": \"22.6\", \"bbox\": [451, 194, 466, 204]}, {\"cell\": \"22.8\", \"bbox\": [470, 194, 484, 204]}, {\"cell\": \"Lake Charles, LA\", \"bbox\": [8, 208, 62, 218]}, {\"cell\": \"0.39 (39.0)\", \"bbox\": [78, 208, 113, 218]}, {\"cell\": \"0.45 (20.6)\", \"bbox\": [128, 208, 163, 218]}, {\"cell\": \"0.49 (13.5)\", \"bbox\": [175, 208, 209, 218]}, {\"cell\": \"0.58 (−4.9)\", \"bbox\": [217, 208, 252, 218]}, {\"cell\": \"0.60 (−5.6)\", \"bbox\": [264, 208, 299, 218]}, {\"cell\": \"0.67 (−16.9)\", \"bbox\": [313, 208, 352, 218]}, {\"cell\": \"0.86 (−31.1)\", \"bbox\": [362, 208, 401, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 208, 445, 218]}, {\"cell\": \"23.0\", \"bbox\": [451, 208, 466, 218]}, {\"cell\": \"23.2\", \"bbox\": [470, 208, 484, 218]}, {\"cell\": \"New Orleans, LA\", \"bbox\": [8, 222, 62, 232]}, {\"cell\": \"0.40 (38.9)\", \"bbox\": [78, 222, 113, 232]}, {\"cell\": \"0.45 (20.5)\", \"bbox\": [128, 222, 163, 232]}, {\"cell\": \"0.49 (13.4)\", \"bbox\": [175, 222, 209, 232]}, {\"cell\": \"0.58 (−5.0)\", \"bbox\": [217, 222, 252, 232]}, {\"cell\": \"0.60 (−5.7)\", \"bbox\": [264, 222, 299, 232]}, {\"cell\": \"0.67 (−17.0)\", \"bbox\": [313, 222, 352, 232]}, {\"cell\": \"0.86 (−31.2)\", \"bbox\": [362, 222, 401, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 222, 445, 232]}, {\"cell\": \"22.1\", \"bbox\": [451, 222, 466, 232]}, {\"cell\": \"22.3\", \"bbox\": [470, 222, 484, 232]}, {\"cell\": \"Austin, TX\", \"bbox\": [18, 236, 52, 246]}, {\"cell\": \"0.39 (41.5)\", \"bbox\": [78, 236, 113, 246]}, {\"cell\": \"0.45 (20.6)\", \"bbox\": [128, 236, 163, 246]}, {\"cell\": \"0.49 (16.1)\", \"bbox\": [175, 236, 209, 246]}, {\"cell\": \"0.59 (−4.8)\", \"bbox\": [217, 236, 252, 246]}, {\"cell\": \"0.59 (−3.1)\", \"bbox\": [264, 236, 299, 246]}, {\"cell\": \"0.68 (−16.9)\", \"bbox\": [313, 236, 352, 246]}, {\"cell\": \"0.85 (−28.5)\", \"bbox\": [362, 236, 401, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 236, 445, 246]}, {\"cell\": \"29.8\", \"bbox\": [451, 236, 466, 246]}, {\"cell\": \"30.0\", \"bbox\": [470, 236, 484, 246]}, {\"cell\": \"Brownsville, TX\", \"bbox\": [10, 250, 60, 260]}, {\"cell\": \"0.39 (41.8)\", \"bbox\": [78, 250, 113, 260]}, {\"cell\": \"0.45 (20.9)\", \"bbox\": [128, 250, 163, 260]}, {\"cell\": \"0.49 (16.4)\", \"bbox\": [175, 250, 209, 260]}, {\"cell\": \"0.58 (−4.5)\", \"bbox\": [217, 250, 252, 260]}, {\"cell\": \"0.59 (−2.8)\", \"bbox\": [264, 250, 299, 260]}, {\"cell\": \"0.68 (−16.6)\", \"bbox\": [313, 250, 352, 260]}, {\"cell\": \"0.84 (−28.2)\", \"bbox\": [362, 250, 401, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 250, 445, 260]}, {\"cell\": \"30.6\", \"bbox\": [451, 250, 466, 260]}, {\"cell\": \"30.8\", \"bbox\": [470, 250, 484, 260]}, {\"cell\": \"Corpus Christi, TX\", \"bbox\": [6, 264, 64, 274]}, {\"cell\": \"0.39 (42.1)\", \"bbox\": [78, 264, 113, 274]}, {\"cell\": \"0.45 (21.3)\", \"bbox\": [128, 264, 163, 274]}, {\"cell\": \"0.48 (16.8)\", \"bbox\": [175, 264, 209, 274]}, {\"cell\": \"0.58 (−4.1)\", \"bbox\": [217, 264, 252, 274]}, {\"cell\": \"0.59 (−2.5)\", \"bbox\": [264, 264, 299, 274]}, {\"cell\": \"0.67 (−16.3)\", \"bbox\": [313, 264, 352, 274]}, {\"cell\": \"0.84 (−27.8)\", \"bbox\": [362, 264, 401, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 264, 445, 274]}, {\"cell\": \"29.7\", \"bbox\": [451, 264, 466, 274]}, {\"cell\": \"29.9\", \"bbox\": [470, 264, 484, 274]}, {\"cell\": \"Houston, TX\", \"bbox\": [15, 278, 55, 288]}, {\"cell\": \"0.39 (42.0)\", \"bbox\": [78, 278, 113, 288]}, {\"cell\": \"0.45 (21.1)\", \"bbox\": [128, 278, 163, 288]}, {\"cell\": \"0.49 (16.7)\", \"bbox\": [175, 278, 209, 288]}, {\"cell\": \"0.58 (−4.2)\", \"bbox\": [217, 278, 252, 288]}, {\"cell\": \"0.59 (−2.6)\", \"bbox\": [264, 278, 299, 288]}, {\"cell\": \"0.67 (−16.4)\", \"bbox\": [313, 278, 352, 288]}, {\"cell\": \"0.84 (−27.9)\", \"bbox\": [362, 278, 401, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 278, 445, 288]}, {\"cell\": \"25.6\", \"bbox\": [451, 278, 466, 288]}, {\"cell\": \"25.8\", \"bbox\": [470, 278, 484, 288]}, {\"cell\": \"Lufkin, TX\", \"bbox\": [19, 292, 51, 302]}, {\"cell\": \"0.39 (41.5)\", \"bbox\": [78, 292, 113, 302]}, {\"cell\": \"0.45 (20.6)\", \"bbox\": [128, 292, 163, 302]}, {\"cell\": \"0.49 (16.1)\", \"bbox\": [175, 292, 209, 302]}, {\"cell\": \"0.59 (−4.8)\", \"bbox\": [217, 292, 252, 302]}, {\"cell\": \"0.59 (−3.1)\", \"bbox\": [264, 292, 299, 302]}, {\"cell\": \"0.68 (−16.9)\", \"bbox\": [313, 292, 352, 302]}, {\"cell\": \"0.85 (−28.5)\", \"bbox\": [362, 292, 401, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 292, 445, 302]}, {\"cell\": \"26.1\", \"bbox\": [451, 292, 466, 302]}, {\"cell\": \"26.3\", \"bbox\": [470, 292, 484, 302]}, {\"cell\": \"Port Arthur, TX\", \"bbox\": [10, 306, 60, 316]}, {\"cell\": \"0.40 (35.2)\", \"bbox\": [78, 306, 113, 316]}, {\"cell\": \"0.46 (16.9)\", \"bbox\": [128, 306, 163, 316]}, {\"cell\": \"0.51 (9.7)\", \"bbox\": [177, 306, 207, 316]}, {\"cell\": \"0.60 (−8.6)\", \"bbox\": [217, 306, 252, 316]}, {\"cell\": \"0.62 (−9.4)\", \"bbox\": [264, 306, 299, 316]}, {\"cell\": \"0.70 (−20.6)\", \"bbox\": [313, 306, 352, 316]}, {\"cell\": \"0.91 (−34.9)\", \"bbox\": [362, 306, 401, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 306, 445, 316]}, {\"cell\": \"22.8\", \"bbox\": [451, 306, 466, 316]}, {\"cell\": \"23.0\", \"bbox\": [470, 306, 484, 316]}, {\"cell\": \"San Antonio, TX\", \"bbox\": [8, 320, 62, 330]}, {\"cell\": \"0.39 (41.3)\", \"bbox\": [78, 320, 113, 330]}, {\"cell\": \"0.45 (20.4)\", \"bbox\": [128, 320, 163, 330]}, {\"cell\": \"0.49 (16.0)\", \"bbox\": [175, 320, 209, 330]}, {\"cell\": \"0.59 (−4.9)\", \"bbox\": [217, 320, 252, 330]}, {\"cell\": \"0.60 (−3.3)\", \"bbox\": [264, 320, 299, 330]}, {\"cell\": \"0.68 (−17.1)\", \"bbox\": [313, 320, 352, 330]}, {\"cell\": \"0.85 (−28.6)\", \"bbox\": [362, 320, 401, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 320, 445, 330]}, {\"cell\": \"29.9\", \"bbox\": [451, 320, 466, 330]}, {\"cell\": \"30.1\", \"bbox\": [470, 320, 484, 330]}, {\"cell\": \"Victoria, TX\", \"bbox\": [16, 334, 54, 344]}, {\"cell\": \"0.39 (41.9)\", \"bbox\": [78, 334, 113, 344]}, {\"cell\": \"0.45 (21.0)\", \"bbox\": [128, 334, 163, 344]}, {\"cell\": \"0.49 (16.5)\", \"bbox\": [175, 334, 209, 344]}, {\"cell\": \"0.58 (−4.4)\", \"bbox\": [217, 334, 252, 344]}, {\"cell\": \"0.59 (−2.7)\", \"bbox\": [264, 334, 299, 344]}, {\"cell\": \"0.68 (−16.5)\", \"bbox\": [313, 334, 352, 344]}, {\"cell\": \"0.84 (−28.1)\", \"bbox\": [362, 334, 401, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 334, 445, 344]}, {\"cell\": \"27.4\", \"bbox\": [451, 334, 466, 344]}, {\"cell\": \"27.7\", \"bbox\": [470, 334, 484, 344]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3693881_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}197{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Number</b></td><td><b>Location</b></td><td><b>Acupuncture point</b></td><td><b>Anatomic structure</b></td></tr></thead><tbody><tr><td>1</td><td>Half way between the medial malleolus and the achilles tendon</td><td>[EMPTY_CELL]</td><td>Tendino-muscular segment of the flexor digitorum longus</td></tr><tr><td>2</td><td>Depression directly inferior to the medial</td><td>[EMPTY_CELL]</td><td>Tendon of the flexor digitorum longus on the talus</td></tr><tr><td>3</td><td>From the heel rising to the medial malleolus</td><td>[EMPTY_CELL]</td><td>abductor hallucis muscle</td></tr><tr><td>4</td><td>On the lateral ankle, in the depression midway between the external malleolus and the tendon calcaneus</td><td>[EMPTY_CELL]</td><td>Tendino-muscular segment of the peroneus brevis</td></tr><tr><td>5</td><td>Depression directly inferior to the lateral malleolus</td><td>[EMPTY_CELL]</td><td>Tendon of the peroneus longus on the lateral ankle</td></tr><tr><td>6</td><td>Inferior and posterior to the lateral malleolus</td><td>[EMPTY_CELL]</td><td>Lateral surface of the calcaneus</td></tr><tr><td>7</td><td>From the heel rising to the lateral malleolus</td><td>[EMPTY_CELL]</td><td>abductor digiti minimi muscle</td></tr><tr><td>8</td><td>Slightly inferior and anterior to the tip of the 11th rib</td><td>[EMPTY_CELL]</td><td>obliquus externus abdominis muscle</td></tr><tr><td>9</td><td>Mid point between the 11th rib and the iliac crest</td><td>[EMPTY_CELL]</td><td>obliquus externus abdominis muscle</td></tr><tr><td>10</td><td>Medial and inferior to the ASIS</td><td>[EMPTY_CELL]</td><td>obliquus internus abdominis muscle</td></tr><tr><td>11</td><td>App. 1 cm medial and inferior to Gall bladder 27</td><td>[EMPTY_CELL]</td><td>obliquus internus abdominis muscle</td></tr><tr><td>12</td><td>Mid point between the greater trochanter and the ASIS</td><td>[EMPTY_CELL]</td><td>glutaeus medius muscle</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Number</b>\", \"bbox\": [5, 5, 34, 13]}, {\"cell\": \"<b>Location</b>\", \"bbox\": [40, 5, 71, 13]}, {\"cell\": \"<b>Acupuncture point</b>\", \"bbox\": [262, 5, 325, 13]}, {\"cell\": \"<b>Anatomic structure</b>\", \"bbox\": [332, 5, 398, 13]}, {\"cell\": \"1\", \"bbox\": [17, 25, 22, 34]}, {\"cell\": \"Half way between the medial malleolus and the achilles tendon\", \"bbox\": [40, 25, 220, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 25, 289, 34]}, {\"cell\": \"Tendino-muscular segment of the flexor digitorum longus\", \"bbox\": [332, 25, 497, 34]}, {\"cell\": \"2\", \"bbox\": [17, 34, 22, 43]}, {\"cell\": \"Depression directly inferior to the medial\", \"bbox\": [40, 34, 161, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 34, 289, 43]}, {\"cell\": \"Tendon of the flexor digitorum longus on the talus\", \"bbox\": [332, 34, 478, 43]}, {\"cell\": \"3\", \"bbox\": [17, 43, 22, 52]}, {\"cell\": \"From the heel rising to the medial malleolus\", \"bbox\": [40, 43, 167, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 43, 310, 52]}, {\"cell\": \"abductor hallucis muscle\", \"bbox\": [331, 43, 403, 52]}, {\"cell\": \"4\", \"bbox\": [17, 52, 22, 61]}, {\"cell\": \"On the lateral ankle, in the depression midway between the external malleolus and the tendon calcaneus\", \"bbox\": [40, 52, 237, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 52, 294, 61]}, {\"cell\": \"Tendino-muscular segment of the peroneus brevis\", \"bbox\": [332, 52, 476, 61]}, {\"cell\": \"5\", \"bbox\": [17, 69, 22, 77]}, {\"cell\": \"Depression directly inferior to the lateral malleolus\", \"bbox\": [40, 69, 188, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 69, 294, 77]}, {\"cell\": \"Tendon of the peroneus longus on the lateral ankle\", \"bbox\": [332, 69, 479, 77]}, {\"cell\": \"6\", \"bbox\": [17, 78, 22, 86]}, {\"cell\": \"Inferior and posterior to the lateral malleolus\", \"bbox\": [40, 78, 171, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 78, 294, 86]}, {\"cell\": \"Lateral surface of the calcaneus\", \"bbox\": [332, 78, 422, 86]}, {\"cell\": \"7\", \"bbox\": [17, 87, 22, 95]}, {\"cell\": \"From the heel rising to the lateral malleolus\", \"bbox\": [40, 87, 166, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 87, 316, 95]}, {\"cell\": \"abductor digiti minimi muscle\", \"bbox\": [332, 87, 417, 95]}, {\"cell\": \"8\", \"bbox\": [17, 96, 22, 104]}, {\"cell\": \"Slightly inferior and anterior to the tip of the 11th rib\", \"bbox\": [40, 96, 194, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 96, 287, 104]}, {\"cell\": \"obliquus externus abdominis muscle\", \"bbox\": [331, 96, 436, 104]}, {\"cell\": \"9\", \"bbox\": [17, 105, 22, 113]}, {\"cell\": \"Mid point between the 11th rib and the iliac crest\", \"bbox\": [40, 105, 183, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 105, 307, 113]}, {\"cell\": \"obliquus externus abdominis muscle\", \"bbox\": [332, 105, 436, 113]}, {\"cell\": \"10\", \"bbox\": [15, 114, 24, 122]}, {\"cell\": \"Medial and inferior to the ASIS\", \"bbox\": [40, 114, 130, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 114, 307, 122]}, {\"cell\": \"obliquus internus abdominis muscle\", \"bbox\": [331, 114, 434, 122]}, {\"cell\": \"11\", \"bbox\": [15, 123, 24, 131]}, {\"cell\": \"App. 1 cm medial and inferior to Gall bladder 27\", \"bbox\": [40, 123, 180, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 123, 307, 131]}, {\"cell\": \"obliquus internus abdominis muscle\", \"bbox\": [332, 123, 434, 131]}, {\"cell\": \"12\", \"bbox\": [15, 132, 24, 140]}, {\"cell\": \"Mid point between the greater trochanter and the ASIS\", \"bbox\": [40, 132, 200, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 132, 307, 140]}, {\"cell\": \"glutaeus medius muscle\", \"bbox\": [332, 132, 400, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1854901_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}198{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Informed consent</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Direct</b></td><td><b>Surrogate</b></td><td><b>OR (95% CI)</b></td><td><b><i>P</i></b></td><td><b>OR (95% CI)*</b></td><td><b><i>P*</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>N = 166</td><td>N = 220</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>25 (15.0)</td><td>117 (51.3)</td><td>5.99 (3.64-9.85)</td><td><0.0001</td><td>5.81 (3.46-9.76)</td><td><0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>21 (12.6)</td><td>58 (25.4)</td><td>2.37 (1.37-4.10)</td><td>0.002</td><td>1.95 (1.11-3.44)</td><td>0.021</td></tr><tr><td>[EMPTY_CELL]</td><td>36 (21.7)</td><td>144 (65.5)</td><td>6.84 (4.31-10.86)</td><td><0.0001</td><td>5.76 (3.57-9.28)</td><td><0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0.0)</td><td>12 (5.5)</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>N = 161</td><td>N = 212</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10 (6.0)</td><td>44 (19.3)</td><td>3.75 (1.83-7.70)</td><td>0.0001</td><td>3.88 (1.85-8.15)</td><td>0.0003</td></tr><tr><td>[EMPTY_CELL]</td><td>8 (4.8)</td><td>35 (15.4)</td><td>3.60 (1.63-7.99)</td><td>0.002</td><td>3.11 (1.38-7.01)</td><td>0.006</td></tr><tr><td>[EMPTY_CELL]</td><td>27 (16.8)</td><td>122 (57.6)</td><td>6.73 (4.10-11.04)</td><td><0.0001</td><td>5.44 (3.24-9.12)</td><td><0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (2.5)</td><td>41 (19.3)</td><td>9.41 (3.30-26.87)</td><td><0.0001</td><td>6.36 (2.18-18.58)</td><td><0.0001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Informed consent</b>\", \"bbox\": [143, 4, 207, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Direct</b>\", \"bbox\": [143, 17, 166, 27]}, {\"cell\": \"<b>Surrogate</b>\", \"bbox\": [195, 17, 231, 27]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [255, 17, 298, 27]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [331, 17, 337, 25]}, {\"cell\": \"<b>OR (95% CI)*</b>\", \"bbox\": [381, 17, 428, 27]}, {\"cell\": \"<b><i>P*</i></b>\", \"bbox\": [457, 17, 467, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 59, 40]}, {\"cell\": \"N = 166\", \"bbox\": [143, 30, 170, 40]}, {\"cell\": \"N = 220\", \"bbox\": [195, 30, 222, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 36, 54]}, {\"cell\": \"25 (15.0)\", \"bbox\": [143, 44, 172, 54]}, {\"cell\": \"117 (51.3)\", \"bbox\": [195, 44, 228, 54]}, {\"cell\": \"5.99 (3.64-9.85)\", \"bbox\": [255, 44, 304, 54]}, {\"cell\": \"<0.0001\", \"bbox\": [331, 44, 358, 54]}, {\"cell\": \"5.81 (3.46-9.76)\", \"bbox\": [381, 44, 430, 54]}, {\"cell\": \"<0.0001\", \"bbox\": [457, 44, 484, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 120, 68]}, {\"cell\": \"21 (12.6)\", \"bbox\": [143, 58, 172, 68]}, {\"cell\": \"58 (25.4)\", \"bbox\": [195, 58, 224, 68]}, {\"cell\": \"2.37 (1.37-4.10)\", \"bbox\": [255, 58, 304, 68]}, {\"cell\": \"0.002\", \"bbox\": [331, 58, 349, 68]}, {\"cell\": \"1.95 (1.11-3.44)\", \"bbox\": [381, 58, 430, 68]}, {\"cell\": \"0.021\", \"bbox\": [457, 58, 476, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 72, 81, 82]}, {\"cell\": \"36 (21.7)\", \"bbox\": [143, 72, 172, 82]}, {\"cell\": \"144 (65.5)\", \"bbox\": [195, 72, 228, 82]}, {\"cell\": \"6.84 (4.31-10.86)\", \"bbox\": [255, 72, 308, 82]}, {\"cell\": \"<0.0001\", \"bbox\": [331, 72, 358, 82]}, {\"cell\": \"5.76 (3.57-9.28)\", \"bbox\": [381, 72, 430, 82]}, {\"cell\": \"<0.0001\", \"bbox\": [457, 72, 484, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 86, 52, 96]}, {\"cell\": \"0 (0.0)\", \"bbox\": [143, 86, 165, 96]}, {\"cell\": \"12 (5.5)\", \"bbox\": [195, 86, 221, 96]}, {\"cell\": \"-\", \"bbox\": [255, 86, 259, 96]}, {\"cell\": \"-\", \"bbox\": [331, 86, 335, 96]}, {\"cell\": \"-\", \"bbox\": [381, 86, 385, 96]}, {\"cell\": \"-\", \"bbox\": [457, 86, 462, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 100, 63, 110]}, {\"cell\": \"N = 161\", \"bbox\": [143, 100, 170, 110]}, {\"cell\": \"N = 212\", \"bbox\": [195, 100, 222, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 114, 36, 124]}, {\"cell\": \"10 (6.0)\", \"bbox\": [143, 114, 168, 124]}, {\"cell\": \"44 (19.3)\", \"bbox\": [195, 114, 224, 124]}, {\"cell\": \"3.75 (1.83-7.70)\", \"bbox\": [255, 114, 304, 124]}, {\"cell\": \"0.0001\", \"bbox\": [331, 114, 353, 124]}, {\"cell\": \"3.88 (1.85-8.15)\", \"bbox\": [381, 114, 430, 124]}, {\"cell\": \"0.0003\", \"bbox\": [457, 114, 480, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 128, 120, 138]}, {\"cell\": \"8 (4.8)\", \"bbox\": [143, 128, 165, 138]}, {\"cell\": \"35 (15.4)\", \"bbox\": [195, 128, 224, 138]}, {\"cell\": \"3.60 (1.63-7.99)\", \"bbox\": [255, 128, 304, 138]}, {\"cell\": \"0.002\", \"bbox\": [331, 128, 349, 138]}, {\"cell\": \"3.11 (1.38-7.01)\", \"bbox\": [381, 128, 430, 138]}, {\"cell\": \"0.006\", \"bbox\": [457, 128, 476, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 142, 81, 152]}, {\"cell\": \"27 (16.8)\", \"bbox\": [143, 142, 172, 152]}, {\"cell\": \"122 (57.6)\", \"bbox\": [195, 142, 228, 152]}, {\"cell\": \"6.73 (4.10-11.04)\", \"bbox\": [255, 142, 308, 152]}, {\"cell\": \"<0.0001\", \"bbox\": [331, 142, 358, 152]}, {\"cell\": \"5.44 (3.24-9.12)\", \"bbox\": [381, 142, 430, 152]}, {\"cell\": \"<0.0001\", \"bbox\": [457, 142, 484, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 156, 52, 166]}, {\"cell\": \"4 (2.5)\", \"bbox\": [143, 156, 165, 166]}, {\"cell\": \"41 (19.3)\", \"bbox\": [195, 156, 224, 166]}, {\"cell\": \"9.41 (3.30-26.87)\", \"bbox\": [255, 156, 308, 166]}, {\"cell\": \"<0.0001\", \"bbox\": [331, 156, 358, 166]}, {\"cell\": \"6.36 (2.18-18.58)\", \"bbox\": [381, 156, 434, 166]}, {\"cell\": \"<0.0001\", \"bbox\": [457, 156, 484, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4415257_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}199{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td colspan=\\\"2\\\"><b>Standard Dose Peginterferon α-2a + Ribavirin (n = 1985)</b></td><td colspan=\\\"2\\\"><b>Standard Dose Peginterferon α-2b + Ribavirin (n = 1733)</b></td><td><b>P value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>No. (%)</td><td>Mean ± SD</td><td>No. (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Gender</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.32</td></tr><tr><td>Male</td><td>1593 (80.3)</td><td>[EMPTY_CELL]</td><td>1413 (81.5)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Female</td><td>392 (19.7)</td><td>[EMPTY_CELL]</td><td>320 (18.5)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Age</b></td><td>[EMPTY_CELL]</td><td>42.10 ±9.816</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.201</td></tr><tr><td>< 50</td><td>1430 (78.4)</td><td>[EMPTY_CELL]</td><td>1268 (79.8)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>> 50</td><td>395 (21.6)</td><td>[EMPTY_CELL]</td><td>321 (20.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>BMI</b></td><td>[EMPTY_CELL]</td><td>28.2487 ±4.27326</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.622</td></tr><tr><td>< 24.9</td><td>436 (24.2)</td><td>[EMPTY_CELL]</td><td>375 (24.0)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>25-29.9</td><td>743 (41.2)</td><td>[EMPTY_CELL]</td><td>653 (41.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>30-35</td><td>518 (28.7)</td><td>[EMPTY_CELL]</td><td>453 (28.9)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>> 35</td><td>105 (5.8)</td><td>[EMPTY_CELL]</td><td>84 (5.4)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [5, 4, 39, 15]}, {\"cell\": \"<b>Standard Dose Peginterferon α-2a + Ribavirin (n = 1985)</b>\", \"bbox\": [83, 2, 220, 25]}, {\"cell\": \"<b>Standard Dose Peginterferon α-2b + Ribavirin (n = 1733)</b>\", \"bbox\": [240, 2, 377, 25]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [397, 4, 427, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No. (%)\", \"bbox\": [83, 29, 109, 39]}, {\"cell\": \"Mean ± SD\", \"bbox\": [162, 29, 200, 39]}, {\"cell\": \"No. (%)\", \"bbox\": [240, 29, 266, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 29, 356, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [5, 43, 35, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.32\", \"bbox\": [397, 43, 414, 53]}, {\"cell\": \"Male\", \"bbox\": [30, 57, 49, 67]}, {\"cell\": \"1593 (80.3)\", \"bbox\": [83, 57, 122, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1413 (81.5)\", \"bbox\": [240, 57, 275, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [30, 71, 57, 81]}, {\"cell\": \"392 (19.7)\", \"bbox\": [83, 71, 117, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"320 (18.5)\", \"bbox\": [240, 71, 275, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Age</b>\", \"bbox\": [5, 85, 20, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"42.10 ±9.816\", \"bbox\": [162, 85, 205, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 85, 362, 95]}, {\"cell\": \"0.201\", \"bbox\": [397, 85, 418, 95]}, {\"cell\": \"< 50\", \"bbox\": [30, 99, 47, 109]}, {\"cell\": \"1430 (78.4)\", \"bbox\": [83, 99, 122, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1268 (79.8)\", \"bbox\": [240, 99, 279, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 50\", \"bbox\": [30, 112, 47, 123]}, {\"cell\": \"395 (21.6)\", \"bbox\": [83, 113, 117, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"321 (20.2)\", \"bbox\": [240, 113, 274, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>BMI</b>\", \"bbox\": [5, 127, 21, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"28.2487 ±4.27326\", \"bbox\": [162, 127, 222, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 127, 377, 137]}, {\"cell\": \"0.622\", \"bbox\": [397, 127, 419, 137]}, {\"cell\": \"< 24.9\", \"bbox\": [30, 141, 53, 151]}, {\"cell\": \"436 (24.2)\", \"bbox\": [83, 141, 119, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"375 (24.0)\", \"bbox\": [240, 141, 276, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"25-29.9\", \"bbox\": [30, 155, 56, 165]}, {\"cell\": \"743 (41.2)\", \"bbox\": [83, 155, 117, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"653 (41.7)\", \"bbox\": [240, 155, 274, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30-35\", \"bbox\": [30, 169, 50, 179]}, {\"cell\": \"518 (28.7)\", \"bbox\": [83, 169, 117, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"453 (28.9)\", \"bbox\": [240, 169, 276, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 35\", \"bbox\": [30, 182, 46, 194]}, {\"cell\": \"105 (5.8)\", \"bbox\": [83, 183, 114, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"84 (5.4)\", \"bbox\": [240, 183, 268, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3732660_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}200{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Mapper</b></td><td><b>Time</b></td><td colspan=\\\"4\\\"><b>Benchmark category</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>[min:sec]</b></td><td colspan=\\\"4\\\"><b>All[%]</b></td><td colspan=\\\"4\\\"><b>All-best[%]</b></td><td colspan=\\\"4\\\"><b>Any-best[%]</b></td></tr></thead><tbody><tr><td>Bowtie2 <sup>a</sup></td><td>0:18</td><td>90.18</td><td>97.68</td><td>96.60</td><td>92.25</td><td>95.87</td><td>96.46</td><td>96.14</td><td>94.48</td><td>99.26</td><td>100.00</td><td>[EMPTY_CELL]</td><td>97.51</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>78.95</td><td>52.71</td><td>21.13</td><td>[EMPTY_CELL]</td><td>93.69</td><td>92.76</td><td>92.27</td><td>[EMPTY_CELL]</td><td>96.63</td><td>[EMPTY_CELL]</td><td>95.38</td></tr><tr><td>BWA <sup>b</sup></td><td>0:49</td><td>92.28</td><td>100.00</td><td>99.81</td><td>96.75</td><td>98.84</td><td>100.00</td><td>99.80</td><td>99.40</td><td>98.89</td><td>100.00</td><td>[EMPTY_CELL]</td><td>99.50</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>79.47</td><td>44.91</td><td>16.65</td><td>[EMPTY_CELL]</td><td>93.61</td><td>78.42</td><td>70.67</td><td>[EMPTY_CELL]</td><td>93.70</td><td>[EMPTY_CELL]</td><td>71.17</td></tr><tr><td>GEM <sup>c</sup></td><td>0:14</td><td>92.75</td><td>98.25</td><td>97.65</td><td>95.69</td><td>98.15</td><td>98.27</td><td>98.21</td><td>97.97</td><td>99.36</td><td>99.42</td><td>[EMPTY_CELL]</td><td>99.24</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>88.44</td><td>67.06</td><td>33.44</td><td>[EMPTY_CELL]</td><td>98.11</td><td>96.87</td><td>95.87</td><td>[EMPTY_CELL]</td><td>99.42</td><td>[EMPTY_CELL]</td><td>97.33</td></tr><tr><td>Bowtie 2</td><td>—</td><td>99.73</td><td>100.00</td><td>100.00</td><td>100.00</td><td>99.97</td><td>100.00</td><td>100.00</td><td>100.00</td><td>99.97</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>99.96</td><td>99.53</td><td>95.45</td><td>[EMPTY_CELL]</td><td>99.95</td><td>99.67</td><td>97.89</td><td>[EMPTY_CELL]</td><td>99.95</td><td>[EMPTY_CELL]</td><td>97.89</td></tr><tr><td>BWA</td><td>40:32</td><td>97.80</td><td>100.00</td><td>99.97</td><td>99.62</td><td>98.95</td><td>100.00</td><td>99.97</td><td>99.62</td><td>98.95</td><td>100.00</td><td>[EMPTY_CELL]</td><td>99.62</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>94.26</td><td>83.53</td><td>75.30</td><td>[EMPTY_CELL]</td><td>93.82</td><td>79.03</td><td>70.93</td><td>[EMPTY_CELL]</td><td>93.82</td><td>[EMPTY_CELL]</td><td>71.17</td></tr><tr><td>GEM</td><td>3:15</td><td>96.02</td><td>98.25</td><td>98.24</td><td>98.09</td><td>98.15</td><td>98.27</td><td>98.18</td><td>98.01</td><td>99.35</td><td>99.42</td><td>[EMPTY_CELL]</td><td>99.24</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>95.92</td><td>87.02</td><td>66.35</td><td>[EMPTY_CELL]</td><td>98.17</td><td>97.02</td><td>95.94</td><td>[EMPTY_CELL]</td><td>99.44</td><td>[EMPTY_CELL]</td><td>97.17</td></tr><tr><td>Masai</td><td>17:43</td><td>99.86</td><td>100.00</td><td>100.00</td><td>100.00</td><td>99.96</td><td>100.00</td><td>100.00</td><td>100.00</td><td>99.97</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>99.87</td><td>99.54</td><td>97.87</td><td>[EMPTY_CELL]</td><td>99.85</td><td>99.29</td><td>98.59</td><td>[EMPTY_CELL]</td><td>99.85</td><td>[EMPTY_CELL]</td><td>98.70</td></tr><tr><td>Hobbes 2</td><td>7:51</td><td>99.82</td><td>99.98</td><td>99.97</td><td>99.97</td><td>99.97</td><td>99.98</td><td>99.97</td><td>99.97</td><td>99.99</td><td>100.00</td><td>[EMPTY_CELL]</td><td>99.98</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>99.98</td><td>99.87</td><td>97.20</td><td>[EMPTY_CELL]</td><td>99.97</td><td>99.98</td><td>99.80</td><td>[EMPTY_CELL]</td><td>99.97</td><td>[EMPTY_CELL]</td><td>99.92</td></tr><tr><td>mrFAST</td><td>12:32</td><td>99.32</td><td>100.00</td><td>100.00</td><td>100.00</td><td>99.42</td><td>100.00</td><td>100.00</td><td>100.00</td><td>99.43</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>100.00</td><td>99.96</td><td>87.51</td><td>[EMPTY_CELL]</td><td>100.00</td><td>100.00</td><td>53.69</td><td>[EMPTY_CELL]</td><td>100.00</td><td>[EMPTY_CELL]</td><td>54.09</td></tr><tr><td>RazerS 3 <sup>d</sup></td><td>41:33</td><td>99.92</td><td>100.00</td><td>100.00</td><td>100.00</td><td>99.99</td><td>100.00</td><td>100.00</td><td>100.00</td><td>99.99</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>100.00</td><td>99.84</td><td>98.62</td><td>[EMPTY_CELL]</td><td>100.00</td><td>99.95</td><td>99.92</td><td>[EMPTY_CELL]</td><td>100.00</td><td>[EMPTY_CELL]</td><td>99.92</td></tr><tr><td>RazerS 3</td><td>54:59</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>100.00</td><td>100.00</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td><td>100.00</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td></tr><tr><td>Yara</td><td>3:06</td><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td><td>[EMPTY_CELL]</td><td>—</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>—</td><td>—</td><td>—</td><td>[EMPTY_CELL]</td><td>—</td><td>—</td><td>—</td><td>[EMPTY_CELL]</td><td>—</td><td>[EMPTY_CELL]</td><td>—</td></tr><tr><td>BitMapper</td><td>2:57</td><td>99.99</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>100.00</td><td>99.99</td><td>99.98</td><td>[EMPTY_CELL]</td><td>100.00</td><td>100.00</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td><td>[EMPTY_CELL]</td><td>100.00</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Mapper</b>\", \"bbox\": [1, 11, 27, 20]}, {\"cell\": \"<b>Time</b>\", \"bbox\": [55, 5, 73, 14]}, {\"cell\": \"<b>Benchmark category</b>\", \"bbox\": [339, 5, 407, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>[min:sec]</b>\", \"bbox\": [55, 18, 86, 27]}, {\"cell\": \"<b>All[%]</b>\", \"bbox\": [177, 18, 197, 27]}, {\"cell\": \"<b>All-best[%]</b>\", \"bbox\": [357, 18, 394, 27]}, {\"cell\": \"<b>Any-best[%]</b>\", \"bbox\": [541, 18, 582, 27]}, {\"cell\": \"Bowtie2 <sup>a</sup>\", \"bbox\": [1, 37, 31, 48]}, {\"cell\": \"0:18\", \"bbox\": [55, 39, 70, 48]}, {\"cell\": \"90.18\", \"bbox\": [102, 39, 121, 48]}, {\"cell\": \"97.68\", \"bbox\": [150, 33, 169, 42]}, {\"cell\": \"96.60\", \"bbox\": [197, 33, 216, 42]}, {\"cell\": \"92.25\", \"bbox\": [244, 33, 263, 42]}, {\"cell\": \"95.87\", \"bbox\": [291, 39, 310, 48]}, {\"cell\": \"96.46\", \"bbox\": [338, 33, 357, 42]}, {\"cell\": \"96.14\", \"bbox\": [385, 33, 404, 42]}, {\"cell\": \"94.48\", \"bbox\": [433, 33, 452, 42]}, {\"cell\": \"99.26\", \"bbox\": [480, 39, 499, 48]}, {\"cell\": \"100.00\", \"bbox\": [527, 33, 550, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 33, 593, 42]}, {\"cell\": \"97.51\", \"bbox\": [621, 33, 640, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"78.95\", \"bbox\": [150, 47, 169, 56]}, {\"cell\": \"52.71\", \"bbox\": [197, 47, 216, 56]}, {\"cell\": \"21.13\", \"bbox\": [244, 47, 263, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"93.69\", \"bbox\": [338, 47, 357, 56]}, {\"cell\": \"92.76\", \"bbox\": [385, 47, 404, 56]}, {\"cell\": \"92.27\", \"bbox\": [433, 47, 452, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"96.63\", \"bbox\": [527, 47, 546, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 47, 593, 56]}, {\"cell\": \"95.38\", \"bbox\": [621, 47, 640, 56]}, {\"cell\": \"BWA <sup>b</sup>\", \"bbox\": [0, 65, 21, 76]}, {\"cell\": \"0:49\", \"bbox\": [55, 66, 70, 76]}, {\"cell\": \"92.28\", \"bbox\": [102, 66, 121, 76]}, {\"cell\": \"100.00\", \"bbox\": [150, 61, 173, 70]}, {\"cell\": \"99.81\", \"bbox\": [197, 61, 216, 70]}, {\"cell\": \"96.75\", \"bbox\": [244, 61, 263, 70]}, {\"cell\": \"98.84\", \"bbox\": [291, 66, 310, 76]}, {\"cell\": \"100.00\", \"bbox\": [338, 61, 361, 70]}, {\"cell\": \"99.80\", \"bbox\": [385, 61, 404, 70]}, {\"cell\": \"99.40\", \"bbox\": [433, 61, 452, 70]}, {\"cell\": \"98.89\", \"bbox\": [480, 66, 499, 76]}, {\"cell\": \"100.00\", \"bbox\": [527, 61, 550, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 61, 593, 70]}, {\"cell\": \"99.50\", \"bbox\": [621, 61, 640, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"79.47\", \"bbox\": [150, 74, 169, 84]}, {\"cell\": \"44.91\", \"bbox\": [197, 74, 216, 84]}, {\"cell\": \"16.65\", \"bbox\": [244, 74, 263, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"93.61\", \"bbox\": [338, 74, 357, 84]}, {\"cell\": \"78.42\", \"bbox\": [385, 74, 404, 84]}, {\"cell\": \"70.67\", \"bbox\": [433, 74, 452, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"93.70\", \"bbox\": [527, 74, 546, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 74, 593, 84]}, {\"cell\": \"71.17\", \"bbox\": [621, 74, 640, 84]}, {\"cell\": \"GEM <sup>c</sup>\", \"bbox\": [0, 93, 20, 104]}, {\"cell\": \"0:14\", \"bbox\": [55, 94, 70, 104]}, {\"cell\": \"92.75\", \"bbox\": [102, 94, 121, 104]}, {\"cell\": \"98.25\", \"bbox\": [150, 88, 169, 98]}, {\"cell\": \"97.65\", \"bbox\": [197, 88, 216, 98]}, {\"cell\": \"95.69\", \"bbox\": [244, 88, 263, 98]}, {\"cell\": \"98.15\", \"bbox\": [291, 94, 310, 104]}, {\"cell\": \"98.27\", \"bbox\": [338, 88, 357, 98]}, {\"cell\": \"98.21\", \"bbox\": [385, 88, 404, 98]}, {\"cell\": \"97.97\", \"bbox\": [433, 88, 452, 98]}, {\"cell\": \"99.36\", \"bbox\": [480, 94, 499, 104]}, {\"cell\": \"99.42\", \"bbox\": [527, 88, 546, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 88, 593, 98]}, {\"cell\": \"99.24\", \"bbox\": [621, 88, 640, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"88.44\", \"bbox\": [150, 102, 169, 112]}, {\"cell\": \"67.06\", \"bbox\": [197, 102, 216, 112]}, {\"cell\": \"33.44\", \"bbox\": [244, 102, 263, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"98.11\", \"bbox\": [338, 102, 357, 112]}, {\"cell\": \"96.87\", \"bbox\": [385, 102, 404, 112]}, {\"cell\": \"95.87\", \"bbox\": [433, 102, 452, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.42\", \"bbox\": [527, 102, 546, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 102, 593, 112]}, {\"cell\": \"97.33\", \"bbox\": [621, 102, 640, 112]}, {\"cell\": \"Bowtie 2\", \"bbox\": [0, 122, 30, 132]}, {\"cell\": \"—\", \"bbox\": [55, 122, 65, 132]}, {\"cell\": \"99.73\", \"bbox\": [102, 122, 121, 132]}, {\"cell\": \"100.00\", \"bbox\": [150, 116, 173, 126]}, {\"cell\": \"100.00\", \"bbox\": [197, 116, 220, 126]}, {\"cell\": \"100.00\", \"bbox\": [244, 116, 267, 126]}, {\"cell\": \"99.97\", \"bbox\": [291, 122, 310, 132]}, {\"cell\": \"100.00\", \"bbox\": [338, 116, 361, 126]}, {\"cell\": \"100.00\", \"bbox\": [385, 116, 408, 126]}, {\"cell\": \"100.00\", \"bbox\": [433, 116, 456, 126]}, {\"cell\": \"99.97\", \"bbox\": [480, 122, 499, 132]}, {\"cell\": \"100.00\", \"bbox\": [527, 116, 550, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 116, 597, 126]}, {\"cell\": \"100.00\", \"bbox\": [621, 116, 644, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.96\", \"bbox\": [150, 130, 169, 140]}, {\"cell\": \"99.53\", \"bbox\": [197, 130, 216, 140]}, {\"cell\": \"95.45\", \"bbox\": [244, 130, 263, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.95\", \"bbox\": [338, 130, 357, 140]}, {\"cell\": \"99.67\", \"bbox\": [385, 130, 404, 140]}, {\"cell\": \"97.89\", \"bbox\": [433, 130, 452, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.95\", \"bbox\": [527, 130, 546, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 130, 593, 140]}, {\"cell\": \"97.89\", \"bbox\": [621, 130, 640, 140]}, {\"cell\": \"BWA\", \"bbox\": [0, 150, 18, 160]}, {\"cell\": \"40:32\", \"bbox\": [55, 150, 74, 160]}, {\"cell\": \"97.80\", \"bbox\": [102, 150, 121, 160]}, {\"cell\": \"100.00\", \"bbox\": [150, 144, 173, 154]}, {\"cell\": \"99.97\", \"bbox\": [197, 144, 216, 154]}, {\"cell\": \"99.62\", \"bbox\": [244, 144, 263, 154]}, {\"cell\": \"98.95\", \"bbox\": [291, 150, 310, 160]}, {\"cell\": \"100.00\", \"bbox\": [338, 144, 361, 154]}, {\"cell\": \"99.97\", \"bbox\": [385, 144, 404, 154]}, {\"cell\": \"99.62\", \"bbox\": [433, 144, 452, 154]}, {\"cell\": \"98.95\", \"bbox\": [480, 150, 499, 160]}, {\"cell\": \"100.00\", \"bbox\": [527, 144, 550, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 144, 593, 154]}, {\"cell\": \"99.62\", \"bbox\": [621, 144, 640, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"94.26\", \"bbox\": [150, 158, 169, 168]}, {\"cell\": \"83.53\", \"bbox\": [197, 158, 216, 168]}, {\"cell\": \"75.30\", \"bbox\": [244, 158, 263, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"93.82\", \"bbox\": [338, 158, 357, 168]}, {\"cell\": \"79.03\", \"bbox\": [385, 158, 404, 168]}, {\"cell\": \"70.93\", \"bbox\": [433, 158, 452, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"93.82\", \"bbox\": [527, 158, 546, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 158, 593, 168]}, {\"cell\": \"71.17\", \"bbox\": [621, 158, 640, 168]}, {\"cell\": \"GEM\", \"bbox\": [0, 178, 17, 188]}, {\"cell\": \"3:15\", \"bbox\": [55, 178, 70, 188]}, {\"cell\": \"96.02\", \"bbox\": [102, 178, 121, 188]}, {\"cell\": \"98.25\", \"bbox\": [150, 172, 169, 182]}, {\"cell\": \"98.24\", \"bbox\": [197, 172, 216, 182]}, {\"cell\": \"98.09\", \"bbox\": [244, 172, 263, 182]}, {\"cell\": \"98.15\", \"bbox\": [291, 178, 310, 188]}, {\"cell\": \"98.27\", \"bbox\": [338, 172, 357, 182]}, {\"cell\": \"98.18\", \"bbox\": [385, 172, 404, 182]}, {\"cell\": \"98.01\", \"bbox\": [433, 172, 452, 182]}, {\"cell\": \"99.35\", \"bbox\": [480, 178, 499, 188]}, {\"cell\": \"99.42\", \"bbox\": [527, 172, 546, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 172, 593, 182]}, {\"cell\": \"99.24\", \"bbox\": [621, 172, 640, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"95.92\", \"bbox\": [150, 186, 169, 196]}, {\"cell\": \"87.02\", \"bbox\": [197, 186, 216, 196]}, {\"cell\": \"66.35\", \"bbox\": [244, 186, 263, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"98.17\", \"bbox\": [338, 186, 357, 196]}, {\"cell\": \"97.02\", \"bbox\": [385, 186, 404, 196]}, {\"cell\": \"95.94\", \"bbox\": [433, 186, 452, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.44\", \"bbox\": [527, 186, 546, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 186, 593, 196]}, {\"cell\": \"97.17\", \"bbox\": [621, 186, 640, 196]}, {\"cell\": \"Masai\", \"bbox\": [0, 206, 21, 215]}, {\"cell\": \"17:43\", \"bbox\": [55, 206, 74, 215]}, {\"cell\": \"99.86\", \"bbox\": [102, 206, 121, 215]}, {\"cell\": \"100.00\", \"bbox\": [150, 200, 173, 209]}, {\"cell\": \"100.00\", \"bbox\": [197, 200, 220, 209]}, {\"cell\": \"100.00\", \"bbox\": [244, 200, 267, 209]}, {\"cell\": \"99.96\", \"bbox\": [291, 206, 310, 215]}, {\"cell\": \"100.00\", \"bbox\": [338, 200, 361, 209]}, {\"cell\": \"100.00\", \"bbox\": [385, 200, 408, 209]}, {\"cell\": \"100.00\", \"bbox\": [433, 200, 456, 209]}, {\"cell\": \"99.97\", \"bbox\": [480, 206, 499, 215]}, {\"cell\": \"100.00\", \"bbox\": [527, 200, 550, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 200, 597, 209]}, {\"cell\": \"100.00\", \"bbox\": [621, 200, 644, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.87\", \"bbox\": [150, 214, 169, 223]}, {\"cell\": \"99.54\", \"bbox\": [197, 214, 216, 223]}, {\"cell\": \"97.87\", \"bbox\": [244, 214, 263, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.85\", \"bbox\": [338, 214, 357, 223]}, {\"cell\": \"99.29\", \"bbox\": [385, 214, 404, 223]}, {\"cell\": \"98.59\", \"bbox\": [433, 214, 452, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.85\", \"bbox\": [527, 214, 546, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 214, 593, 223]}, {\"cell\": \"98.70\", \"bbox\": [621, 214, 640, 223]}, {\"cell\": \"Hobbes 2\", \"bbox\": [0, 234, 33, 243]}, {\"cell\": \"7:51\", \"bbox\": [55, 234, 70, 243]}, {\"cell\": \"99.82\", \"bbox\": [102, 234, 121, 243]}, {\"cell\": \"99.98\", \"bbox\": [150, 228, 169, 237]}, {\"cell\": \"99.97\", \"bbox\": [197, 228, 216, 237]}, {\"cell\": \"99.97\", \"bbox\": [244, 228, 263, 237]}, {\"cell\": \"99.97\", \"bbox\": [291, 234, 310, 243]}, {\"cell\": \"99.98\", \"bbox\": [338, 228, 357, 237]}, {\"cell\": \"99.97\", \"bbox\": [385, 228, 404, 237]}, {\"cell\": \"99.97\", \"bbox\": [433, 228, 452, 237]}, {\"cell\": \"99.99\", \"bbox\": [480, 234, 499, 243]}, {\"cell\": \"100.00\", \"bbox\": [527, 228, 550, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 228, 593, 237]}, {\"cell\": \"99.98\", \"bbox\": [621, 228, 640, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.98\", \"bbox\": [150, 242, 169, 251]}, {\"cell\": \"99.87\", \"bbox\": [197, 242, 216, 251]}, {\"cell\": \"97.20\", \"bbox\": [244, 242, 263, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.97\", \"bbox\": [338, 242, 357, 251]}, {\"cell\": \"99.98\", \"bbox\": [385, 242, 404, 251]}, {\"cell\": \"99.80\", \"bbox\": [433, 242, 452, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.97\", \"bbox\": [527, 242, 546, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 242, 597, 251]}, {\"cell\": \"99.92\", \"bbox\": [621, 242, 640, 251]}, {\"cell\": \"mrFAST\", \"bbox\": [0, 262, 27, 271]}, {\"cell\": \"12:32\", \"bbox\": [55, 262, 74, 271]}, {\"cell\": \"99.32\", \"bbox\": [102, 262, 121, 271]}, {\"cell\": \"100.00\", \"bbox\": [150, 256, 173, 265]}, {\"cell\": \"100.00\", \"bbox\": [197, 256, 220, 265]}, {\"cell\": \"100.00\", \"bbox\": [244, 256, 267, 265]}, {\"cell\": \"99.42\", \"bbox\": [291, 262, 310, 271]}, {\"cell\": \"100.00\", \"bbox\": [338, 256, 361, 265]}, {\"cell\": \"100.00\", \"bbox\": [385, 256, 408, 265]}, {\"cell\": \"100.00\", \"bbox\": [433, 256, 456, 265]}, {\"cell\": \"99.43\", \"bbox\": [480, 262, 499, 271]}, {\"cell\": \"100.00\", \"bbox\": [527, 256, 550, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 256, 597, 265]}, {\"cell\": \"100.00\", \"bbox\": [621, 256, 644, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [150, 270, 173, 279]}, {\"cell\": \"99.96\", \"bbox\": [197, 270, 216, 279]}, {\"cell\": \"87.51\", \"bbox\": [244, 270, 263, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [338, 270, 361, 279]}, {\"cell\": \"100.00\", \"bbox\": [385, 270, 408, 279]}, {\"cell\": \"53.69\", \"bbox\": [433, 270, 452, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [527, 270, 550, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 270, 597, 279]}, {\"cell\": \"54.09\", \"bbox\": [621, 270, 640, 279]}, {\"cell\": \"RazerS 3 <sup>d</sup>\", \"bbox\": [0, 289, 32, 300]}, {\"cell\": \"41:33\", \"bbox\": [55, 290, 74, 299]}, {\"cell\": \"99.92\", \"bbox\": [102, 290, 121, 299]}, {\"cell\": \"100.00\", \"bbox\": [150, 284, 173, 293]}, {\"cell\": \"100.00\", \"bbox\": [197, 284, 220, 293]}, {\"cell\": \"100.00\", \"bbox\": [244, 284, 267, 293]}, {\"cell\": \"99.99\", \"bbox\": [291, 290, 310, 299]}, {\"cell\": \"100.00\", \"bbox\": [338, 284, 361, 293]}, {\"cell\": \"100.00\", \"bbox\": [385, 284, 408, 293]}, {\"cell\": \"100.00\", \"bbox\": [433, 284, 456, 293]}, {\"cell\": \"99.99\", \"bbox\": [480, 290, 499, 299]}, {\"cell\": \"100.00\", \"bbox\": [527, 284, 550, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 284, 597, 293]}, {\"cell\": \"100.00\", \"bbox\": [621, 284, 644, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [150, 298, 173, 307]}, {\"cell\": \"99.84\", \"bbox\": [197, 298, 216, 307]}, {\"cell\": \"98.62\", \"bbox\": [244, 298, 263, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [338, 298, 361, 307]}, {\"cell\": \"99.95\", \"bbox\": [385, 298, 404, 307]}, {\"cell\": \"99.92\", \"bbox\": [433, 298, 452, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [527, 298, 550, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 298, 593, 307]}, {\"cell\": \"99.92\", \"bbox\": [621, 298, 640, 307]}, {\"cell\": \"RazerS 3\", \"bbox\": [0, 318, 29, 327]}, {\"cell\": \"54:59\", \"bbox\": [55, 318, 74, 327]}, {\"cell\": \"100.00\", \"bbox\": [102, 318, 125, 327]}, {\"cell\": \"100.00\", \"bbox\": [150, 312, 173, 321]}, {\"cell\": \"100.00\", \"bbox\": [197, 312, 220, 321]}, {\"cell\": \"100.00\", \"bbox\": [244, 312, 267, 321]}, {\"cell\": \"100.00\", \"bbox\": [291, 318, 314, 327]}, {\"cell\": \"100.00\", \"bbox\": [338, 312, 361, 321]}, {\"cell\": \"100.00\", \"bbox\": [385, 312, 408, 321]}, {\"cell\": \"100.00\", \"bbox\": [433, 312, 456, 321]}, {\"cell\": \"100.00\", \"bbox\": [480, 318, 503, 327]}, {\"cell\": \"100.00\", \"bbox\": [527, 312, 550, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 312, 597, 321]}, {\"cell\": \"100.00\", \"bbox\": [621, 312, 644, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [150, 326, 173, 335]}, {\"cell\": \"100.00\", \"bbox\": [197, 326, 220, 335]}, {\"cell\": \"100.00\", \"bbox\": [244, 326, 267, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [338, 326, 361, 335]}, {\"cell\": \"100.00\", \"bbox\": [385, 326, 408, 335]}, {\"cell\": \"100.00\", \"bbox\": [433, 326, 456, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [527, 326, 550, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 326, 597, 335]}, {\"cell\": \"100.00\", \"bbox\": [621, 326, 644, 335]}, {\"cell\": \"Yara\", \"bbox\": [0, 345, 16, 355]}, {\"cell\": \"3:06\", \"bbox\": [55, 345, 70, 355]}, {\"cell\": \"—\", \"bbox\": [102, 345, 112, 355]}, {\"cell\": \"—\", \"bbox\": [150, 340, 160, 349]}, {\"cell\": \"—\", \"bbox\": [197, 340, 207, 349]}, {\"cell\": \"—\", \"bbox\": [244, 340, 254, 349]}, {\"cell\": \"—\", \"bbox\": [291, 345, 301, 355]}, {\"cell\": \"—\", \"bbox\": [338, 340, 348, 349]}, {\"cell\": \"—\", \"bbox\": [385, 340, 395, 349]}, {\"cell\": \"—\", \"bbox\": [433, 340, 443, 349]}, {\"cell\": \"—\", \"bbox\": [480, 345, 490, 355]}, {\"cell\": \"—\", \"bbox\": [527, 340, 537, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 340, 584, 349]}, {\"cell\": \"—\", \"bbox\": [621, 340, 631, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"—\", \"bbox\": [150, 353, 160, 363]}, {\"cell\": \"—\", \"bbox\": [197, 353, 207, 363]}, {\"cell\": \"—\", \"bbox\": [244, 353, 254, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"—\", \"bbox\": [338, 353, 348, 363]}, {\"cell\": \"—\", \"bbox\": [385, 353, 395, 363]}, {\"cell\": \"—\", \"bbox\": [433, 353, 443, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"—\", \"bbox\": [527, 353, 537, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 353, 584, 363]}, {\"cell\": \"—\", \"bbox\": [621, 353, 631, 363]}, {\"cell\": \"BitMapper\", \"bbox\": [0, 373, 36, 383]}, {\"cell\": \"2:57\", \"bbox\": [55, 373, 70, 383]}, {\"cell\": \"99.99\", \"bbox\": [102, 373, 121, 383]}, {\"cell\": \"100.00\", \"bbox\": [150, 367, 173, 377]}, {\"cell\": \"100.00\", \"bbox\": [197, 367, 220, 377]}, {\"cell\": \"100.00\", \"bbox\": [244, 367, 267, 377]}, {\"cell\": \"100.00\", \"bbox\": [291, 373, 314, 383]}, {\"cell\": \"100.00\", \"bbox\": [338, 367, 361, 377]}, {\"cell\": \"100.00\", \"bbox\": [385, 367, 408, 377]}, {\"cell\": \"100.00\", \"bbox\": [433, 367, 456, 377]}, {\"cell\": \"100.00\", \"bbox\": [480, 373, 503, 383]}, {\"cell\": \"100.00\", \"bbox\": [527, 367, 550, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 367, 597, 377]}, {\"cell\": \"100.00\", \"bbox\": [621, 367, 644, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [150, 381, 173, 391]}, {\"cell\": \"99.99\", \"bbox\": [197, 381, 216, 391]}, {\"cell\": \"99.98\", \"bbox\": [244, 381, 263, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [338, 381, 361, 391]}, {\"cell\": \"100.00\", \"bbox\": [385, 381, 408, 391]}, {\"cell\": \"100.00\", \"bbox\": [433, 381, 456, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100.00\", \"bbox\": [527, 381, 550, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [574, 381, 597, 391]}, {\"cell\": \"100.00\", \"bbox\": [621, 381, 644, 391]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4462005_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}201{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Pollutants/temperature</b></td><td><b>n<sup>*</sup></b></td><td><b>Mean</b></td><td><b>SD</b></td><td><b>Minimum</b></td><td><b>Median</b></td><td><b>Maximum</b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>119</td><td>24.6</td><td>23.2</td><td>5.3</td><td>15.3</td><td>124.5</td></tr><tr><td>[EMPTY_CELL]</td><td>119</td><td>28.3</td><td>33.8</td><td>4.5</td><td>15.2</td><td>181.1</td></tr><tr><td>[EMPTY_CELL]</td><td>120</td><td>21.7</td><td>17.1</td><td>3.5</td><td>15.9</td><td>103.1</td></tr><tr><td>[EMPTY_CELL]</td><td>119</td><td>44.7</td><td>52.1</td><td>5.5</td><td>23.8</td><td>238.9</td></tr><tr><td>[EMPTY_CELL]</td><td>120</td><td>41.5</td><td>42.2</td><td>4.6</td><td>24.3</td><td>192.9</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>118</td><td>22.6</td><td>12.7</td><td>3.3</td><td>20.3</td><td>73.5</td></tr><tr><td>[EMPTY_CELL]</td><td>118</td><td>21.7</td><td>16.3</td><td>1.7</td><td>16.7</td><td>92.1</td></tr><tr><td>[EMPTY_CELL]</td><td>120</td><td>23.6</td><td>14.1</td><td>4.3</td><td>20.9</td><td>78.5</td></tr><tr><td>[EMPTY_CELL]</td><td>118</td><td>34.0</td><td>23.6</td><td>2.9</td><td>29.0</td><td>136.4</td></tr><tr><td>[EMPTY_CELL]</td><td>120</td><td>38.6</td><td>22.6</td><td>5.6</td><td>35.0</td><td>110.9</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>136</td><td>19.1</td><td>7.8</td><td>3.5</td><td>18.1</td><td>49.9</td></tr><tr><td>[EMPTY_CELL]</td><td>141</td><td>17.2</td><td>8.5</td><td>2.6</td><td>16.7</td><td>56.4</td></tr><tr><td>[EMPTY_CELL]</td><td>136</td><td>21.2</td><td>10.4</td><td>2.9</td><td>18.3</td><td>56.2</td></tr><tr><td>[EMPTY_CELL]</td><td>141</td><td>28.5</td><td>14.8</td><td>4.9</td><td>25.6</td><td>95.8</td></tr><tr><td>[EMPTY_CELL]</td><td>136</td><td>35.8</td><td>15.8</td><td>4.9</td><td>33.7</td><td>110.8</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>141</td><td>20.6</td><td>7.7</td><td>6.5</td><td>21.1</td><td>41.0</td></tr><tr><td>[EMPTY_CELL]</td><td>141</td><td>21.8</td><td>9.7</td><td>3.3</td><td>21.1</td><td>42.6</td></tr><tr><td>[EMPTY_CELL]</td><td>141</td><td>19.3</td><td>8.9</td><td>4.3</td><td>18.2</td><td>41.2</td></tr><tr><td>[EMPTY_CELL]</td><td>141</td><td>31.6</td><td>11.9</td><td>5.0</td><td>32.0</td><td>57.0</td></tr><tr><td>[EMPTY_CELL]</td><td>141</td><td>31.5</td><td>11.9</td><td>5.0</td><td>32.0</td><td>56.0</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>141</td><td>12.9</td><td>3.8</td><td>4.6</td><td>12.4</td><td>23.9</td></tr><tr><td>[EMPTY_CELL]</td><td>141</td><td>5.1</td><td>3.7</td><td>-0.8</td><td>4.2</td><td>15.2</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>141</td><td>61.4</td><td>15.9</td><td>28.0</td><td>60.0</td><td>93.0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Pollutants/temperature</b>\", \"bbox\": [5, 5, 87, 15]}, {\"cell\": \"<b>n<sup>*</sup></b>\", \"bbox\": [204, 5, 214, 15]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [253, 5, 275, 15]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [312, 5, 325, 15]}, {\"cell\": \"<b>Minimum</b>\", \"bbox\": [357, 5, 391, 15]}, {\"cell\": \"<b>Median</b>\", \"bbox\": [415, 5, 443, 15]}, {\"cell\": \"<b>Maximum</b>\", \"bbox\": [466, 5, 502, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 22, 94, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 36, 49, 45]}, {\"cell\": \"119\", \"bbox\": [203, 36, 217, 45]}, {\"cell\": \"24.6\", \"bbox\": [255, 36, 273, 45]}, {\"cell\": \"23.2\", \"bbox\": [310, 36, 328, 45]}, {\"cell\": \"5.3\", \"bbox\": [369, 36, 382, 45]}, {\"cell\": \"15.3\", \"bbox\": [420, 36, 437, 45]}, {\"cell\": \"124.5\", \"bbox\": [474, 36, 496, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 46, 84, 55]}, {\"cell\": \"119\", \"bbox\": [203, 46, 217, 55]}, {\"cell\": \"28.3\", \"bbox\": [255, 46, 273, 55]}, {\"cell\": \"33.8\", \"bbox\": [310, 46, 327, 55]}, {\"cell\": \"4.5\", \"bbox\": [369, 46, 382, 55]}, {\"cell\": \"15.2\", \"bbox\": [420, 46, 437, 55]}, {\"cell\": \"181.1\", \"bbox\": [473, 46, 496, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 56, 79, 65]}, {\"cell\": \"120\", \"bbox\": [202, 56, 217, 65]}, {\"cell\": \"21.7\", \"bbox\": [255, 56, 273, 65]}, {\"cell\": \"17.1\", \"bbox\": [310, 56, 327, 65]}, {\"cell\": \"3.5\", \"bbox\": [369, 56, 382, 65]}, {\"cell\": \"15.9\", \"bbox\": [420, 56, 437, 65]}, {\"cell\": \"103.1\", \"bbox\": [473, 56, 496, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 66, 94, 75]}, {\"cell\": \"119\", \"bbox\": [203, 66, 217, 75]}, {\"cell\": \"44.7\", \"bbox\": [255, 66, 272, 75]}, {\"cell\": \"52.1\", \"bbox\": [310, 66, 327, 75]}, {\"cell\": \"5.5\", \"bbox\": [369, 66, 382, 75]}, {\"cell\": \"23.8\", \"bbox\": [420, 66, 437, 75]}, {\"cell\": \"238.9\", \"bbox\": [473, 66, 496, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 76, 90, 85]}, {\"cell\": \"120\", \"bbox\": [202, 76, 217, 85]}, {\"cell\": \"41.5\", \"bbox\": [255, 76, 273, 85]}, {\"cell\": \"42.2\", \"bbox\": [310, 76, 328, 85]}, {\"cell\": \"4.6\", \"bbox\": [369, 76, 382, 85]}, {\"cell\": \"24.3\", \"bbox\": [420, 76, 437, 85]}, {\"cell\": \"192.9\", \"bbox\": [474, 76, 496, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 96, 100, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 109, 49, 119]}, {\"cell\": \"118\", \"bbox\": [203, 109, 217, 119]}, {\"cell\": \"22.6\", \"bbox\": [255, 109, 273, 119]}, {\"cell\": \"12.7\", \"bbox\": [310, 109, 328, 119]}, {\"cell\": \"3.3\", \"bbox\": [369, 109, 382, 119]}, {\"cell\": \"20.3\", \"bbox\": [420, 109, 437, 119]}, {\"cell\": \"73.5\", \"bbox\": [478, 109, 496, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 119, 84, 129]}, {\"cell\": \"118\", \"bbox\": [203, 119, 217, 129]}, {\"cell\": \"21.7\", \"bbox\": [255, 119, 273, 129]}, {\"cell\": \"16.3\", \"bbox\": [310, 119, 327, 129]}, {\"cell\": \"1.7\", \"bbox\": [369, 119, 382, 129]}, {\"cell\": \"16.7\", \"bbox\": [420, 119, 437, 129]}, {\"cell\": \"92.1\", \"bbox\": [478, 119, 496, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 129, 79, 139]}, {\"cell\": \"120\", \"bbox\": [202, 129, 217, 139]}, {\"cell\": \"23.6\", \"bbox\": [255, 129, 273, 139]}, {\"cell\": \"14.1\", \"bbox\": [310, 129, 327, 139]}, {\"cell\": \"4.3\", \"bbox\": [369, 129, 382, 139]}, {\"cell\": \"20.9\", \"bbox\": [420, 129, 437, 139]}, {\"cell\": \"78.5\", \"bbox\": [478, 129, 496, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 139, 94, 149]}, {\"cell\": \"118\", \"bbox\": [203, 139, 217, 149]}, {\"cell\": \"34.0\", \"bbox\": [255, 139, 272, 149]}, {\"cell\": \"23.6\", \"bbox\": [310, 139, 327, 149]}, {\"cell\": \"2.9\", \"bbox\": [369, 139, 382, 149]}, {\"cell\": \"29.0\", \"bbox\": [420, 139, 437, 149]}, {\"cell\": \"136.4\", \"bbox\": [473, 139, 496, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 149, 90, 159]}, {\"cell\": \"120\", \"bbox\": [202, 149, 217, 159]}, {\"cell\": \"38.6\", \"bbox\": [255, 149, 273, 159]}, {\"cell\": \"22.6\", \"bbox\": [310, 149, 328, 159]}, {\"cell\": \"5.6\", \"bbox\": [369, 149, 382, 159]}, {\"cell\": \"35.0\", \"bbox\": [420, 149, 437, 159]}, {\"cell\": \"110.9\", \"bbox\": [474, 149, 495, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 170, 138, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 183, 49, 193]}, {\"cell\": \"136\", \"bbox\": [202, 183, 217, 193]}, {\"cell\": \"19.1\", \"bbox\": [255, 183, 273, 193]}, {\"cell\": \"7.8\", \"bbox\": [314, 183, 328, 193]}, {\"cell\": \"3.5\", \"bbox\": [369, 183, 382, 193]}, {\"cell\": \"18.1\", \"bbox\": [420, 183, 437, 193]}, {\"cell\": \"49.9\", \"bbox\": [478, 183, 496, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 193, 84, 203]}, {\"cell\": \"141\", \"bbox\": [202, 193, 217, 203]}, {\"cell\": \"17.2\", \"bbox\": [255, 193, 273, 203]}, {\"cell\": \"8.5\", \"bbox\": [314, 193, 327, 203]}, {\"cell\": \"2.6\", \"bbox\": [369, 193, 382, 203]}, {\"cell\": \"16.7\", \"bbox\": [420, 193, 437, 203]}, {\"cell\": \"56.4\", \"bbox\": [478, 193, 496, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 203, 79, 213]}, {\"cell\": \"136\", \"bbox\": [202, 203, 217, 213]}, {\"cell\": \"21.2\", \"bbox\": [255, 203, 273, 213]}, {\"cell\": \"10.4\", \"bbox\": [310, 203, 327, 213]}, {\"cell\": \"2.9\", \"bbox\": [369, 203, 382, 213]}, {\"cell\": \"18.3\", \"bbox\": [420, 203, 437, 213]}, {\"cell\": \"56.2\", \"bbox\": [478, 203, 496, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 213, 94, 223]}, {\"cell\": \"141\", \"bbox\": [202, 213, 217, 223]}, {\"cell\": \"28.5\", \"bbox\": [255, 213, 273, 223]}, {\"cell\": \"14.8\", \"bbox\": [310, 213, 327, 223]}, {\"cell\": \"4.9\", \"bbox\": [369, 213, 382, 223]}, {\"cell\": \"25.6\", \"bbox\": [420, 213, 437, 223]}, {\"cell\": \"95.8\", \"bbox\": [478, 213, 496, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 223, 90, 233]}, {\"cell\": \"136\", \"bbox\": [202, 223, 217, 233]}, {\"cell\": \"35.8\", \"bbox\": [255, 223, 273, 233]}, {\"cell\": \"15.8\", \"bbox\": [310, 223, 327, 233]}, {\"cell\": \"4.9\", \"bbox\": [369, 223, 382, 233]}, {\"cell\": \"33.7\", \"bbox\": [420, 223, 437, 233]}, {\"cell\": \"110.8\", \"bbox\": [474, 223, 495, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 243, 96, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 255, 49, 264]}, {\"cell\": \"141\", \"bbox\": [202, 255, 217, 264]}, {\"cell\": \"20.6\", \"bbox\": [255, 255, 273, 264]}, {\"cell\": \"7.7\", \"bbox\": [314, 255, 328, 264]}, {\"cell\": \"6.5\", \"bbox\": [369, 255, 382, 264]}, {\"cell\": \"21.1\", \"bbox\": [420, 255, 437, 264]}, {\"cell\": \"41.0\", \"bbox\": [478, 255, 496, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 265, 84, 274]}, {\"cell\": \"141\", \"bbox\": [202, 265, 217, 274]}, {\"cell\": \"21.8\", \"bbox\": [255, 265, 273, 274]}, {\"cell\": \"9.7\", \"bbox\": [314, 265, 327, 274]}, {\"cell\": \"3.3\", \"bbox\": [369, 265, 382, 274]}, {\"cell\": \"21.1\", \"bbox\": [420, 265, 437, 274]}, {\"cell\": \"42.6\", \"bbox\": [478, 265, 496, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 275, 79, 284]}, {\"cell\": \"141\", \"bbox\": [202, 275, 217, 284]}, {\"cell\": \"19.3\", \"bbox\": [255, 275, 273, 284]}, {\"cell\": \"8.9\", \"bbox\": [314, 275, 327, 284]}, {\"cell\": \"4.3\", \"bbox\": [369, 275, 382, 284]}, {\"cell\": \"18.2\", \"bbox\": [420, 275, 437, 284]}, {\"cell\": \"41.2\", \"bbox\": [478, 275, 496, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 285, 94, 294]}, {\"cell\": \"141\", \"bbox\": [202, 285, 217, 294]}, {\"cell\": \"31.6\", \"bbox\": [255, 285, 273, 294]}, {\"cell\": \"11.9\", \"bbox\": [310, 285, 327, 294]}, {\"cell\": \"5.0\", \"bbox\": [369, 285, 382, 294]}, {\"cell\": \"32.0\", \"bbox\": [420, 285, 437, 294]}, {\"cell\": \"57.0\", \"bbox\": [478, 285, 496, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 295, 90, 304]}, {\"cell\": \"141\", \"bbox\": [202, 295, 217, 304]}, {\"cell\": \"31.5\", \"bbox\": [255, 295, 273, 304]}, {\"cell\": \"11.9\", \"bbox\": [311, 295, 327, 304]}, {\"cell\": \"5.0\", \"bbox\": [369, 295, 382, 304]}, {\"cell\": \"32.0\", \"bbox\": [420, 295, 437, 304]}, {\"cell\": \"56.0\", \"bbox\": [478, 295, 496, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 315, 118, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 325, 105, 334]}, {\"cell\": \"141\", \"bbox\": [202, 325, 217, 334]}, {\"cell\": \"12.9\", \"bbox\": [255, 325, 273, 334]}, {\"cell\": \"3.8\", \"bbox\": [314, 325, 328, 334]}, {\"cell\": \"4.6\", \"bbox\": [369, 325, 382, 334]}, {\"cell\": \"12.4\", \"bbox\": [420, 325, 437, 334]}, {\"cell\": \"23.9\", \"bbox\": [478, 325, 496, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 335, 103, 344]}, {\"cell\": \"141\", \"bbox\": [202, 335, 217, 344]}, {\"cell\": \"5.1\", \"bbox\": [259, 335, 272, 344]}, {\"cell\": \"3.7\", \"bbox\": [314, 335, 328, 344]}, {\"cell\": \"-0.8\", \"bbox\": [367, 335, 382, 344]}, {\"cell\": \"4.2\", \"bbox\": [424, 335, 438, 344]}, {\"cell\": \"15.2\", \"bbox\": [478, 335, 496, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 355, 132, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 365, 49, 374]}, {\"cell\": \"141\", \"bbox\": [202, 365, 217, 374]}, {\"cell\": \"61.4\", \"bbox\": [255, 365, 273, 374]}, {\"cell\": \"15.9\", \"bbox\": [310, 365, 328, 374]}, {\"cell\": \"28.0\", \"bbox\": [365, 365, 382, 374]}, {\"cell\": \"60.0\", \"bbox\": [420, 365, 437, 374]}, {\"cell\": \"93.0\", \"bbox\": [478, 365, 496, 374]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4771604_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}202{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Pyronaridine–artesunate</b></td><td><b>Artemether–lumefantrine</b></td></tr></thead><tbody><tr><td>N</td><td>85</td><td>[EMPTY_CELL]</td></tr><tr><td>Male<sup>a</sup></td><td>54.1 (46/85)</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (years)<sup>b</sup></td><td>7.0 (4.2–9.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Hb (g/dL)<sup>c</sup></td><td>11.8 (11.4–12.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Temperature (°C)<sup>c</sup></td><td>37.6 (37.4–37.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Fever (temperature > 37.5 °C)<sup>a</sup></td><td>55.3 (47/85)</td><td>[EMPTY_CELL]</td></tr><tr><td>Asexual parasite density (p/μl)<sup>b</sup></td><td>28,800 (12,000–68,640)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gametocyte prevalence—microscopy<sup>a</sup></td><td>2.35 (2/85)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gametocyte prevalence—QT-NASBA<sup>a</sup></td><td>95.3 (81/85)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gametocyte density—QT-NASBA (p/μl)<sup>b</sup></td><td>3.23 (0.68–18.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gametocyte prevalence—<i>Pfs25</i> qRT-PCR<sup>a</sup></td><td>97.7 (83/85)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gametocyte density—<i>Pfs25</i> qRT-PCR (p/μl)<sup>b</sup></td><td>2.88 (0.85–5.24)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gametocyte prevalence—<i>PfMGET</i> qRT-PCR<sup>a</sup></td><td>35.3 (30/85)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gametocyte density—<i>PfMGET</i> qRT-PCR (p/μl)<sup>b</sup></td><td>0.94 (0.11–14.1)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Pyronaridine–artesunate</b>\", \"bbox\": [227, 4, 315, 14]}, {\"cell\": \"<b>Artemether–lumefantrine</b>\", \"bbox\": [393, 4, 484, 14]}, {\"cell\": \"N\", \"bbox\": [0, 22, 8, 32]}, {\"cell\": \"85\", \"bbox\": [227, 22, 237, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 22, 402, 32]}, {\"cell\": \"Male<sup>a</sup>\", \"bbox\": [0, 33, 21, 44]}, {\"cell\": \"54.1 (46/85)\", \"bbox\": [227, 34, 266, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 34, 432, 44]}, {\"cell\": \"Age (years)<sup>b</sup>\", \"bbox\": [0, 45, 41, 56]}, {\"cell\": \"7.0 (4.2–9.0)\", \"bbox\": [227, 47, 266, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 47, 432, 56]}, {\"cell\": \"Hb (g/dL)<sup>c</sup>\", \"bbox\": [0, 57, 36, 68]}, {\"cell\": \"11.8 (11.4–12.2)\", \"bbox\": [227, 59, 278, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 59, 444, 68]}, {\"cell\": \"Temperature (°C)<sup>c</sup>\", \"bbox\": [1, 69, 59, 80]}, {\"cell\": \"37.6 (37.4–37.9)\", \"bbox\": [227, 71, 278, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 71, 444, 80]}, {\"cell\": \"Fever (temperature > 37.5 °C)<sup>a</sup>\", \"bbox\": [1, 81, 97, 92]}, {\"cell\": \"55.3 (47/85)\", \"bbox\": [227, 83, 266, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 83, 432, 92]}, {\"cell\": \"Asexual parasite density (p/μl)<sup>b</sup>\", \"bbox\": [1, 93, 101, 104]}, {\"cell\": \"28,800 (12,000–68,640)\", \"bbox\": [227, 95, 302, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 95, 467, 104]}, {\"cell\": \"Gametocyte prevalence—microscopy<sup>a</sup>\", \"bbox\": [1, 106, 127, 116]}, {\"cell\": \"2.35 (2/85)\", \"bbox\": [227, 107, 262, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 107, 428, 116]}, {\"cell\": \"Gametocyte prevalence—QT-NASBA<sup>a</sup>\", \"bbox\": [0, 118, 123, 129]}, {\"cell\": \"95.3 (81/85)\", \"bbox\": [227, 119, 266, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 119, 432, 129]}, {\"cell\": \"Gametocyte density—QT-NASBA (p/μl)<sup>b</sup>\", \"bbox\": [0, 130, 130, 141]}, {\"cell\": \"3.23 (0.68–18.1)\", \"bbox\": [227, 131, 278, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 131, 444, 141]}, {\"cell\": \"Gametocyte prevalence—<i>Pfs25</i> qRT-PCR<sup>a</sup>\", \"bbox\": [0, 142, 134, 153]}, {\"cell\": \"97.7 (83/85)\", \"bbox\": [227, 143, 266, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 143, 431, 153]}, {\"cell\": \"Gametocyte density—<i>Pfs25</i> qRT-PCR (p/μl)<sup>b</sup>\", \"bbox\": [0, 154, 142, 165]}, {\"cell\": \"2.88 (0.85–5.24)\", \"bbox\": [227, 155, 278, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 155, 444, 165]}, {\"cell\": \"Gametocyte prevalence—<i>PfMGET</i> qRT-PCR<sup>a</sup>\", \"bbox\": [0, 166, 142, 177]}, {\"cell\": \"35.3 (30/85)\", \"bbox\": [227, 168, 266, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 168, 432, 177]}, {\"cell\": \"Gametocyte density—<i>PfMGET</i> qRT-PCR (p/μl)<sup>b</sup>\", \"bbox\": [0, 178, 149, 189]}, {\"cell\": \"0.94 (0.11–14.1)\", \"bbox\": [227, 180, 278, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 180, 444, 189]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5987563_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}203{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Explanation</b></td><td><b>Recommendation</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\">Incorrect diagnosis of CQS</td></tr><tr><td> Enrollment of patients without clinical disease</td><td>Host immunity in asymptomatic patients enrolled from cross-sectional surveys, may facilitate clearance of parasitaemia even following partially effective drug treatment</td><td>[EMPTY_CELL]</td></tr><tr><td> Coadministration of early PQ</td><td>Early PQ has schizontocidal activity that can increase parasite clearance and prevent recrudescent infections</td><td>[EMPTY_CELL]</td></tr><tr><td> Short duration of follow-up</td><td>Early evidence of resistance is manifest by late recrudescence</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Incorrect diagnosis of CQR</td></tr><tr><td> Incomplete treatment course</td><td>From poor patient adherence</td><td>[EMPTY_CELL]</td></tr><tr><td> Dose of chloroquine administered too low</td><td>Prescription of inadequate mg/kg dose</td><td>[EMPTY_CELL]</td></tr><tr><td> Poor absorption of drug</td><td>Either from poor quality drug, reduced gastrointestinal absorption</td><td>[EMPTY_CELL]</td></tr><tr><td> Poor drug quality</td><td>Faulty product</td><td>[EMPTY_CELL]</td></tr><tr><td> Inadequate sample size</td><td>Leading to wide confidence intervals of high failure rates derived from very few cases</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Explanation</b>\", \"bbox\": [200, 4, 234, 12]}, {\"cell\": \"<b>Recommendation</b>\", \"bbox\": [387, 4, 435, 12]}, {\"cell\": \"Incorrect diagnosis of CQS\", \"bbox\": [1, 16, 96, 26]}, {\"cell\": \" Enrollment of patients without clinical disease\", \"bbox\": [8, 25, 117, 44]}, {\"cell\": \"Host immunity in asymptomatic patients enrolled from cross-sectional surveys, may facilitate clearance of parasitaemia even following partially effective drug treatment\", \"bbox\": [138, 25, 286, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 25, 490, 44]}, {\"cell\": \" Coadministration of early PQ\", \"bbox\": [8, 70, 113, 80]}, {\"cell\": \"Early PQ has schizontocidal activity that can increase parasite clearance and prevent recrudescent infections\", \"bbox\": [138, 70, 296, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 70, 493, 89]}, {\"cell\": \" Short duration of follow-up\", \"bbox\": [8, 97, 105, 107]}, {\"cell\": \"Early evidence of resistance is manifest by late recrudescence\", \"bbox\": [138, 97, 288, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 97, 491, 116]}, {\"cell\": \"Incorrect diagnosis of CQR\", \"bbox\": [1, 115, 98, 125]}, {\"cell\": \" Incomplete treatment course\", \"bbox\": [8, 124, 110, 134]}, {\"cell\": \"From poor patient adherence\", \"bbox\": [138, 124, 243, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 124, 424, 134]}, {\"cell\": \" Dose of chloroquine administered too low\", \"bbox\": [8, 133, 91, 152]}, {\"cell\": \"Prescription of inadequate mg/kg dose\", \"bbox\": [138, 133, 274, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 133, 497, 143]}, {\"cell\": \" Poor absorption of drug\", \"bbox\": [8, 151, 94, 161]}, {\"cell\": \"Either from poor quality drug, reduced gastrointestinal absorption\", \"bbox\": [138, 151, 277, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 151, 481, 170]}, {\"cell\": \" Poor drug quality\", \"bbox\": [8, 169, 71, 179]}, {\"cell\": \"Faulty product\", \"bbox\": [138, 169, 191, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 169, 504, 197]}, {\"cell\": \" Inadequate sample size\", \"bbox\": [8, 196, 91, 206]}, {\"cell\": \"Leading to wide confidence intervals of high failure rates derived from very few cases\", \"bbox\": [138, 196, 296, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 196, 498, 206]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5198890_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}204{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Sublingual Sugar (SLS)n = 14(95%CI)</b></td><td><b>Intravenous Glucose (IVG)n = 9(95%CI)</b></td></tr></thead><tbody><tr><td>Sex (% F)</td><td>29</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean age (months)</td><td>26.7 (19.8–33.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean weight (kg)</td><td>10.8 (9.4–12.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Duration of illness before presentation (days)</td><td>2.55 (1.4–4.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Coma<sup>£</sup></td><td>2 (14%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Prostration (%)</td><td>12 (86%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Convulsions (%)</td><td>3 (21%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Respiratory distress (%)</td><td>7 (50%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Splenomegaly (%)</td><td>4 (29%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Malnutrition (%)*</td><td>1 (7%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean temperature °C</td><td>38.9 (38.3–39.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean glycaemia (mg/dl)</td><td>46.5 (40.7–52.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of children with BGC < 40 mg/dl (< 2.2 mmol/l)</td><td>3 (21%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of children with BGC < 54 mg/dl (< 3.0 mml/L)</td><td>10 (71%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Thick film positive for <i>P. falciparum </i>(%)</td><td>11 (79%)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Sublingual Sugar (SLS)n = 14(95%CI)</b>\", \"bbox\": [281, 4, 355, 33]}, {\"cell\": \"<b>Intravenous Glucose (IVG)n = 9(95%CI)</b>\", \"bbox\": [390, 4, 481, 33]}, {\"cell\": \"Sex (% F)\", \"bbox\": [4, 45, 38, 55]}, {\"cell\": \"29\", \"bbox\": [313, 45, 323, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 45, 441, 55]}, {\"cell\": \"Mean age (months)\", \"bbox\": [4, 55, 70, 65]}, {\"cell\": \"26.7 (19.8–33.7)\", \"bbox\": [290, 55, 346, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [410, 55, 462, 65]}, {\"cell\": \"Mean weight (kg)\", \"bbox\": [4, 65, 64, 75]}, {\"cell\": \"10.8 (9.4–12.7)\", \"bbox\": [292, 65, 344, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [410, 65, 462, 75]}, {\"cell\": \"Duration of illness before presentation (days)\", \"bbox\": [4, 76, 158, 86]}, {\"cell\": \"2.55 (1.4–4.1)\", \"bbox\": [294, 76, 342, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [412, 76, 460, 86]}, {\"cell\": \"Coma<sup>£</sup>\", \"bbox\": [4, 86, 30, 96]}, {\"cell\": \"2 (14%)\", \"bbox\": [304, 86, 332, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 86, 450, 96]}, {\"cell\": \"Prostration (%)\", \"bbox\": [4, 96, 58, 106]}, {\"cell\": \"12 (86%)\", \"bbox\": [302, 96, 334, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 96, 450, 106]}, {\"cell\": \"Convulsions (%)\", \"bbox\": [4, 106, 61, 116]}, {\"cell\": \"3 (21%)\", \"bbox\": [304, 106, 332, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 106, 450, 116]}, {\"cell\": \"Respiratory distress (%)\", \"bbox\": [4, 117, 86, 127]}, {\"cell\": \"7 (50%)\", \"bbox\": [304, 117, 331, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 117, 449, 127]}, {\"cell\": \"Splenomegaly (%)\", \"bbox\": [4, 127, 65, 137]}, {\"cell\": \"4 (29%)\", \"bbox\": [304, 127, 331, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 127, 449, 137]}, {\"cell\": \"Malnutrition (%)*\", \"bbox\": [4, 137, 64, 147]}, {\"cell\": \"1 (7%)\", \"bbox\": [306, 137, 330, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 137, 439, 147]}, {\"cell\": \"Mean temperature °C\", \"bbox\": [4, 147, 80, 157]}, {\"cell\": \"38.9 (38.3–39.3)\", \"bbox\": [290, 147, 346, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 147, 464, 157]}, {\"cell\": \"Mean glycaemia (mg/dl)\", \"bbox\": [4, 158, 84, 168]}, {\"cell\": \"46.5 (40.7–52.2)\", \"bbox\": [290, 158, 346, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 158, 464, 168]}, {\"cell\": \"Number of children with BGC < 40 mg/dl (< 2.2 mmol/l)\", \"bbox\": [4, 168, 197, 178]}, {\"cell\": \"3 (21%)\", \"bbox\": [304, 168, 332, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 168, 450, 178]}, {\"cell\": \"Number of children with BGC < 54 mg/dl (< 3.0 mml/L)\", \"bbox\": [4, 178, 195, 188]}, {\"cell\": \"10 (71%)\", \"bbox\": [302, 178, 334, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 178, 450, 188]}, {\"cell\": \"Thick film positive for <i>P. falciparum </i>(%)\", \"bbox\": [4, 188, 135, 198]}, {\"cell\": \"11 (79%)\", \"bbox\": [302, 188, 334, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 188, 450, 198]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2605470_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}205{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Macronutrient composition</b></td><td><b>HF diet</b></td><td><b>LF diet</b></td></tr></thead><tbody><tr><td>Energy (kcal)</td><td>1868 ± 106</td><td>[EMPTY_CELL]</td></tr><tr><td>Carbohydrate (% kcal)</td><td>5 ± 1</td><td>[EMPTY_CELL]</td></tr><tr><td>Protein (% kcal)</td><td>35 ± 1</td><td>[EMPTY_CELL]</td></tr><tr><td>Protein-energy ratio (g/100 kcal)</td><td>8.7 ± 1</td><td>[EMPTY_CELL]</td></tr><tr><td>Fat (% kcal)</td><td>60 ± 1</td><td>[EMPTY_CELL]</td></tr><tr><td> Saturated fat (% kcal)</td><td>26 ± 1</td><td>[EMPTY_CELL]</td></tr><tr><td> Monounsaturated fat (% kcal)</td><td>24 ± 1</td><td>[EMPTY_CELL]</td></tr><tr><td> Polyunsaturated fat (% kcal)</td><td>9 ± 1</td><td>[EMPTY_CELL]</td></tr><tr><td> Trans fat (% kcal)</td><td>1 ± 0</td><td>[EMPTY_CELL]</td></tr><tr><td>Cholesterol (mg)</td><td>448 ± 14</td><td>[EMPTY_CELL]</td></tr><tr><td>Fiber (g)</td><td>11 ± 2</td><td>[EMPTY_CELL]</td></tr><tr><td>Dietary composition</td><td>HF diet</td><td>[EMPTY_CELL]</td></tr><tr><td>Breakfast</td><td>Eggs</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Ham</td><td>[EMPTY_CELL]</td></tr><tr><td>Lunch</td><td>Lettuce w/carrots and cucumber</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Roast beef</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Cheddar cheese</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Olive oil/vinegar dressing</td><td>[EMPTY_CELL]</td></tr><tr><td>Dinner</td><td>Chicken provencal</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Potatoes w/butter</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Broccoli</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Macronutrient composition</b>\", \"bbox\": [1, 4, 97, 13]}, {\"cell\": \"<b>HF diet</b>\", \"bbox\": [231, 4, 258, 13]}, {\"cell\": \"<b>LF diet</b>\", \"bbox\": [393, 4, 419, 13]}, {\"cell\": \"Energy (kcal)\", \"bbox\": [1, 17, 43, 27]}, {\"cell\": \"1868 ± 106\", \"bbox\": [225, 17, 264, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 17, 423, 27]}, {\"cell\": \"Carbohydrate (% kcal)\", \"bbox\": [1, 29, 73, 39]}, {\"cell\": \"5 ± 1\", \"bbox\": [235, 29, 254, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 29, 417, 39]}, {\"cell\": \"Protein (% kcal)\", \"bbox\": [1, 41, 52, 51]}, {\"cell\": \"35 ± 1\", \"bbox\": [233, 41, 256, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 41, 417, 51]}, {\"cell\": \"Protein-energy ratio (g/100 kcal)\", \"bbox\": [1, 53, 106, 63]}, {\"cell\": \"8.7 ± 1\", \"bbox\": [232, 53, 257, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 53, 418, 63]}, {\"cell\": \"Fat (% kcal)\", \"bbox\": [1, 65, 39, 74]}, {\"cell\": \"60 ± 1\", \"bbox\": [233, 65, 256, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 65, 417, 74]}, {\"cell\": \" Saturated fat (% kcal)\", \"bbox\": [15, 77, 86, 86]}, {\"cell\": \"26 ± 1\", \"bbox\": [233, 77, 256, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 77, 416, 86]}, {\"cell\": \" Monounsaturated fat (% kcal)\", \"bbox\": [15, 89, 112, 98]}, {\"cell\": \"24 ± 1\", \"bbox\": [233, 89, 256, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 89, 416, 98]}, {\"cell\": \" Polyunsaturated fat (% kcal)\", \"bbox\": [15, 101, 106, 110]}, {\"cell\": \"9 ± 1\", \"bbox\": [235, 101, 254, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 101, 416, 110]}, {\"cell\": \" Trans fat (% kcal)\", \"bbox\": [15, 113, 72, 122]}, {\"cell\": \"1 ± 0\", \"bbox\": [235, 113, 254, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 113, 416, 122]}, {\"cell\": \"Cholesterol (mg)\", \"bbox\": [1, 125, 56, 134]}, {\"cell\": \"448 ± 14\", \"bbox\": [229, 125, 260, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 125, 419, 134]}, {\"cell\": \"Fiber (g)\", \"bbox\": [1, 137, 29, 146]}, {\"cell\": \"11 ± 2\", \"bbox\": [233, 137, 256, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 137, 417, 146]}, {\"cell\": \"Dietary composition\", \"bbox\": [1, 150, 67, 159]}, {\"cell\": \"HF diet\", \"bbox\": [232, 150, 257, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 150, 418, 159]}, {\"cell\": \"Breakfast\", \"bbox\": [1, 163, 30, 173]}, {\"cell\": \"Eggs\", \"bbox\": [236, 163, 253, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [391, 163, 420, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ham\", \"bbox\": [236, 175, 253, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [378, 175, 433, 185]}, {\"cell\": \"Lunch\", \"bbox\": [1, 187, 22, 197]}, {\"cell\": \"Lettuce w/carrots and cucumber\", \"bbox\": [191, 187, 298, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 187, 459, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Roast beef\", \"bbox\": [227, 199, 262, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 199, 415, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cheddar cheese\", \"bbox\": [218, 211, 271, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 211, 419, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Olive oil/vinegar dressing\", \"bbox\": [203, 223, 286, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 223, 431, 232]}, {\"cell\": \"Dinner\", \"bbox\": [1, 235, 24, 244]}, {\"cell\": \"Chicken provencal\", \"bbox\": [214, 235, 275, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 235, 438, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Potatoes w/butter\", \"bbox\": [214, 247, 275, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 247, 424, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Broccoli\", \"bbox\": [231, 259, 258, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 259, 419, 268]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3032663_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}206{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Patients without potential drug-drug interactions in their prescriptionn = 132</b></td><td><b>Patients with at least one potential drug-drug interactions in their prescriptionn = 492</b></td></tr></thead><tbody><tr><td>Gender (female)</td><td>[EMPTY_CELL]</td><td>386 (78.5)</td></tr><tr><td>Civil status (single)</td><td>[EMPTY_CELL]</td><td>259 (52.6)</td></tr><tr><td>Did not work</td><td>[EMPTY_CELL]</td><td>416 (84.6)</td></tr><tr><td>Literacy (only elementary school o less)</td><td>[EMPTY_CELL]</td><td>266 (62.9)</td></tr><tr><td>Patient age ≥ 60*</td><td>[EMPTY_CELL]</td><td>406 (82.5)</td></tr><tr><td>Number of disease ≥ 3*</td><td>[EMPTY_CELL]</td><td>396 (80.5)</td></tr><tr><td>Cardiovascular disease*</td><td>[EMPTY_CELL]</td><td>403 (81.9)</td></tr><tr><td>Musculoskeletal and joint disorders</td><td>[EMPTY_CELL]</td><td>471(95.7)</td></tr><tr><td>Gastrointestinal disease</td><td>[EMPTY_CELL]</td><td>205 (41.7)</td></tr><tr><td>Endocrine, alimentary and metabolic disease*</td><td>[EMPTY_CELL]</td><td>275 (55.9)</td></tr><tr><td>Pulmonary disease</td><td>[EMPTY_CELL]</td><td>31 (6.3)</td></tr><tr><td>Mental disease</td><td>[EMPTY_CELL]</td><td>21 (4.3)</td></tr><tr><td>Neurological disease</td><td>[EMPTY_CELL]</td><td>40 (8.1)</td></tr><tr><td>Infections and parasitic disease</td><td>[EMPTY_CELL]</td><td>88 (17.9)</td></tr><tr><td>Number of medicines ≥ 5*</td><td>[EMPTY_CELL]</td><td>383 (77.8)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [4, 5, 42, 14]}, {\"cell\": \"<b>Patients without potential drug-drug interactions in their prescriptionn = 132</b>\", \"bbox\": [174, 5, 317, 33]}, {\"cell\": \"<b>Patients with at least one potential drug-drug interactions in their prescriptionn = 492</b>\", \"bbox\": [336, 5, 495, 33]}, {\"cell\": \"Gender (female)\", \"bbox\": [4, 45, 61, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 45, 264, 55]}, {\"cell\": \"386 (78.5)\", \"bbox\": [397, 45, 434, 55]}, {\"cell\": \"Civil status (single)\", \"bbox\": [4, 55, 69, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 55, 262, 65]}, {\"cell\": \"259 (52.6)\", \"bbox\": [397, 55, 434, 65]}, {\"cell\": \"Did not work\", \"bbox\": [4, 66, 52, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 66, 264, 75]}, {\"cell\": \"416 (84.6)\", \"bbox\": [397, 66, 434, 75]}, {\"cell\": \"Literacy (only elementary school o less)\", \"bbox\": [4, 76, 140, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 76, 262, 86]}, {\"cell\": \"266 (62.9)\", \"bbox\": [397, 76, 434, 86]}, {\"cell\": \"Patient age ≥ 60*\", \"bbox\": [4, 75, 64, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 86, 261, 96]}, {\"cell\": \"406 (82.5)\", \"bbox\": [397, 86, 434, 96]}, {\"cell\": \"Number of disease ≥ 3*\", \"bbox\": [4, 85, 86, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 96, 261, 106]}, {\"cell\": \"396 (80.5)\", \"bbox\": [397, 96, 433, 106]}, {\"cell\": \"Cardiovascular disease*\", \"bbox\": [4, 106, 86, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 106, 262, 116]}, {\"cell\": \"403 (81.9)\", \"bbox\": [397, 106, 434, 116]}, {\"cell\": \"Musculoskeletal and joint disorders\", \"bbox\": [4, 117, 125, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 117, 264, 127]}, {\"cell\": \"471(95.7)\", \"bbox\": [399, 117, 432, 127]}, {\"cell\": \"Gastrointestinal disease\", \"bbox\": [4, 127, 86, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 127, 262, 137]}, {\"cell\": \"205 (41.7)\", \"bbox\": [397, 127, 434, 137]}, {\"cell\": \"Endocrine, alimentary and metabolic disease*\", \"bbox\": [4, 137, 157, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 137, 261, 147]}, {\"cell\": \"275 (55.9)\", \"bbox\": [397, 137, 433, 147]}, {\"cell\": \"Pulmonary disease\", \"bbox\": [4, 147, 68, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 147, 257, 157]}, {\"cell\": \"31 (6.3)\", \"bbox\": [402, 147, 429, 157]}, {\"cell\": \"Mental disease\", \"bbox\": [4, 158, 55, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 158, 259, 168]}, {\"cell\": \"21 (4.3)\", \"bbox\": [402, 158, 429, 168]}, {\"cell\": \"Neurological disease\", \"bbox\": [4, 168, 75, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 168, 259, 178]}, {\"cell\": \"40 (8.1)\", \"bbox\": [402, 168, 429, 178]}, {\"cell\": \"Infections and parasitic disease\", \"bbox\": [4, 178, 109, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 178, 262, 188]}, {\"cell\": \"88 (17.9)\", \"bbox\": [399, 178, 431, 188]}, {\"cell\": \"Number of medicines ≥ 5*\", \"bbox\": [4, 178, 96, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 189, 261, 198]}, {\"cell\": \"383 (77.8)\", \"bbox\": [397, 189, 433, 198]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2080631_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}207{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Organisms</b></td><td colspan=\\\"10\\\"><b>Antibiogram pattern No (%)</b></td></tr><tr><td><b>R1</b></td><td><b>R2</b></td><td><b>R3</b></td><td><b>R4</b></td><td><b>R5</b></td><td><b>R6</b></td><td><b>R7</b></td><td><b>R8</b></td><td><b>R9</b></td><td><b>R10</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>7 (15.2)</td><td>6 (13)</td><td>6 (13)</td><td>10 (21.7)</td><td>5 (10.9)</td><td>3 (6.5)</td><td>5 (10.9)</td><td>2 (4.3)</td><td>1 (2.2)</td><td>1 (2.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (17.6)</td><td>2 (11.8)</td><td>3 (17.6)</td><td>2 (11.8)</td><td>3 (17.6)</td><td>2 (11.8)</td><td>1 (5.9)</td><td>–</td><td>1 (5.9)</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (20)</td><td>1 (6.7)</td><td>3 (20)</td><td>2 (13.3)</td><td>5 (33.3)</td><td>1 (6.7)</td><td>1 (6.7)</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>1 (6.3)</td><td>3 (18.8)</td><td>3 (18.8)</td><td>2 (12.5)</td><td>–</td><td>2 (12.5)</td><td>2 (12.5)</td><td>2 (12.5)</td><td>–</td><td>1 (6.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (5.1)</td><td>4 (10.3)</td><td>6 (15.4)</td><td>7 (20)</td><td>3 (7.7)</td><td>6 (15.4)</td><td>5 (12.8)</td><td>3 (7.7)</td><td>2 (5.1)</td><td>1 (2.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>1 (3.7)</td><td>3 (11.1)</td><td>4 (14.8)</td><td>5 (18.5)</td><td>5 (18.5)</td><td>1 (3.7)</td><td>2 (7.4)</td><td>3 (11.1)</td><td>2 (7.4)</td><td>1 (3.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (18)</td><td>2 (18.2)</td><td>3 (17.7)</td><td>5 (29.4)</td><td>3 (17.7)</td><td>–</td><td>1 (5.9)</td><td>1 (5.9)</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (33.)</td><td>1 (16.7)</td><td>1 (16.7)</td><td>1 (16.7)</td><td>1 (16.7)</td><td>1 (16.7)</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (18.8)</td><td>5 (31.3)</td><td>1 (6.3)</td><td>2 (12.5)</td><td>2 (12.5)</td><td>2 (12.5)</td><td>3 (18.8)</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>2 (25)</td><td>1 (12.5)</td><td>2 (25)</td><td>1 (12.5)</td><td>1 (12.5)</td><td>1 (12.5)</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>1 (14)</td><td>1 (14)</td><td>1 (14.3)</td><td>2 (28.6)</td><td>1 (14.3)</td><td>1 (14.6)</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>25 (11.6)</td><td>33 (15.3)</td><td>32 (14.8</td><td>40 (18.5)</td><td>27 (12.5)</td><td>20 (9.3)</td><td>21 (9.7)</td><td>14 (6.5)</td><td>8 (3.7)</td><td>4 (1.9)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Organisms</b>\", \"bbox\": [1, 4, 40, 14]}, {\"cell\": \"<b>Antibiogram pattern No (%)</b>\", \"bbox\": [81, 4, 179, 14]}, {\"cell\": \"<b>R1</b>\", \"bbox\": [81, 20, 92, 30]}, {\"cell\": \"<b>R2</b>\", \"bbox\": [126, 20, 137, 30]}, {\"cell\": \"<b>R3</b>\", \"bbox\": [171, 20, 182, 30]}, {\"cell\": \"<b>R4</b>\", \"bbox\": [213, 20, 224, 30]}, {\"cell\": \"<b>R5</b>\", \"bbox\": [258, 20, 269, 30]}, {\"cell\": \"<b>R6</b>\", \"bbox\": [303, 20, 314, 30]}, {\"cell\": \"<b>R7</b>\", \"bbox\": [344, 20, 355, 30]}, {\"cell\": \"<b>R8</b>\", \"bbox\": [385, 20, 396, 30]}, {\"cell\": \"<b>R9</b>\", \"bbox\": [426, 20, 437, 30]}, {\"cell\": \"<b>R10</b>\", \"bbox\": [463, 20, 478, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 43, 48]}, {\"cell\": \"7 (15.2)\", \"bbox\": [81, 38, 106, 48]}, {\"cell\": \"6 (13)\", \"bbox\": [126, 38, 146, 48]}, {\"cell\": \"6 (13)\", \"bbox\": [171, 38, 190, 48]}, {\"cell\": \"10 (21.7)\", \"bbox\": [213, 38, 242, 48]}, {\"cell\": \"5 (10.9)\", \"bbox\": [258, 38, 283, 48]}, {\"cell\": \"3 (6.5)\", \"bbox\": [303, 38, 324, 48]}, {\"cell\": \"5 (10.9)\", \"bbox\": [344, 38, 369, 48]}, {\"cell\": \"2 (4.3)\", \"bbox\": [385, 38, 406, 48]}, {\"cell\": \"1 (2.2)\", \"bbox\": [426, 38, 447, 48]}, {\"cell\": \"1 (2.2)\", \"bbox\": [463, 38, 484, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 34, 60]}, {\"cell\": \"3 (17.6)\", \"bbox\": [81, 50, 106, 60]}, {\"cell\": \"2 (11.8)\", \"bbox\": [126, 50, 151, 60]}, {\"cell\": \"3 (17.6)\", \"bbox\": [171, 50, 196, 60]}, {\"cell\": \"2 (11.8)\", \"bbox\": [217, 50, 242, 60]}, {\"cell\": \"3 (17.6)\", \"bbox\": [258, 50, 283, 60]}, {\"cell\": \"2 (11.8)\", \"bbox\": [303, 50, 328, 60]}, {\"cell\": \"1 (5.9)\", \"bbox\": [344, 50, 365, 60]}, {\"cell\": \"–\", \"bbox\": [385, 50, 391, 60]}, {\"cell\": \"1 (5.9)\", \"bbox\": [426, 50, 447, 60]}, {\"cell\": \"–\", \"bbox\": [463, 50, 469, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 62, 72]}, {\"cell\": \"3 (20)\", \"bbox\": [81, 62, 101, 72]}, {\"cell\": \"1 (6.7)\", \"bbox\": [126, 62, 147, 72]}, {\"cell\": \"3 (20)\", \"bbox\": [171, 62, 190, 72]}, {\"cell\": \"2 (13.3)\", \"bbox\": [217, 62, 242, 72]}, {\"cell\": \"5 (33.3)\", \"bbox\": [258, 62, 283, 72]}, {\"cell\": \"1 (6.7)\", \"bbox\": [303, 62, 324, 72]}, {\"cell\": \"1 (6.7)\", \"bbox\": [344, 62, 365, 72]}, {\"cell\": \"–\", \"bbox\": [385, 62, 391, 72]}, {\"cell\": \"–\", \"bbox\": [426, 62, 432, 72]}, {\"cell\": \"–\", \"bbox\": [463, 62, 469, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 52, 84]}, {\"cell\": \"1 (6.3)\", \"bbox\": [81, 75, 102, 84]}, {\"cell\": \"3 (18.8)\", \"bbox\": [126, 75, 151, 84]}, {\"cell\": \"3 (18.8)\", \"bbox\": [171, 75, 196, 84]}, {\"cell\": \"2 (12.5)\", \"bbox\": [217, 75, 242, 84]}, {\"cell\": \"–\", \"bbox\": [258, 75, 264, 84]}, {\"cell\": \"2 (12.5)\", \"bbox\": [303, 75, 328, 84]}, {\"cell\": \"2 (12.5)\", \"bbox\": [344, 75, 369, 84]}, {\"cell\": \"2 (12.5)\", \"bbox\": [385, 75, 410, 84]}, {\"cell\": \"–\", \"bbox\": [426, 75, 432, 84]}, {\"cell\": \"1 (6.3)\", \"bbox\": [463, 75, 484, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 48, 96]}, {\"cell\": \"2 (5.1)\", \"bbox\": [81, 87, 102, 96]}, {\"cell\": \"4 (10.3)\", \"bbox\": [126, 87, 151, 96]}, {\"cell\": \"6 (15.4)\", \"bbox\": [171, 87, 196, 96]}, {\"cell\": \"7 (20)\", \"bbox\": [217, 87, 237, 96]}, {\"cell\": \"3 (7.7)\", \"bbox\": [258, 87, 279, 96]}, {\"cell\": \"6 (15.4)\", \"bbox\": [303, 87, 328, 96]}, {\"cell\": \"5 (12.8)\", \"bbox\": [344, 87, 369, 96]}, {\"cell\": \"3 (7.7)\", \"bbox\": [385, 87, 406, 96]}, {\"cell\": \"2 (5.1)\", \"bbox\": [426, 87, 447, 96]}, {\"cell\": \"1 (2.6)\", \"bbox\": [463, 87, 484, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 56, 108]}, {\"cell\": \"1 (3.7)\", \"bbox\": [81, 99, 102, 108]}, {\"cell\": \"3 (11.1)\", \"bbox\": [126, 99, 151, 108]}, {\"cell\": \"4 (14.8)\", \"bbox\": [171, 99, 196, 108]}, {\"cell\": \"5 (18.5)\", \"bbox\": [217, 99, 242, 108]}, {\"cell\": \"5 (18.5)\", \"bbox\": [258, 99, 283, 108]}, {\"cell\": \"1 (3.7)\", \"bbox\": [303, 99, 324, 108]}, {\"cell\": \"2 (7.4)\", \"bbox\": [344, 99, 365, 108]}, {\"cell\": \"3 (11.1)\", \"bbox\": [385, 99, 410, 108]}, {\"cell\": \"2 (7.4)\", \"bbox\": [426, 99, 447, 108]}, {\"cell\": \"1 (3.7)\", \"bbox\": [463, 99, 484, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 59, 120]}, {\"cell\": \"2 (18)\", \"bbox\": [81, 111, 101, 120]}, {\"cell\": \"2 (18.2)\", \"bbox\": [126, 111, 151, 120]}, {\"cell\": \"3 (17.7)\", \"bbox\": [171, 111, 196, 120]}, {\"cell\": \"5 (29.4)\", \"bbox\": [217, 111, 242, 120]}, {\"cell\": \"3 (17.7)\", \"bbox\": [258, 111, 283, 120]}, {\"cell\": \"–\", \"bbox\": [303, 111, 309, 120]}, {\"cell\": \"1 (5.9)\", \"bbox\": [344, 111, 365, 120]}, {\"cell\": \"1 (5.9)\", \"bbox\": [385, 111, 406, 120]}, {\"cell\": \"–\", \"bbox\": [426, 111, 432, 120]}, {\"cell\": \"–\", \"bbox\": [463, 111, 469, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 29, 132]}, {\"cell\": \"2 (33.)\", \"bbox\": [81, 123, 102, 132]}, {\"cell\": \"1 (16.7)\", \"bbox\": [126, 123, 151, 132]}, {\"cell\": \"1 (16.7)\", \"bbox\": [171, 123, 196, 132]}, {\"cell\": \"1 (16.7)\", \"bbox\": [217, 123, 242, 132]}, {\"cell\": \"1 (16.7)\", \"bbox\": [258, 123, 283, 132]}, {\"cell\": \"1 (16.7)\", \"bbox\": [303, 123, 328, 132]}, {\"cell\": \"–\", \"bbox\": [344, 123, 350, 132]}, {\"cell\": \"–\", \"bbox\": [385, 123, 391, 132]}, {\"cell\": \"–\", \"bbox\": [426, 123, 432, 132]}, {\"cell\": \"–\", \"bbox\": [463, 123, 469, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 135, 56, 144]}, {\"cell\": \"3 (18.8)\", \"bbox\": [81, 135, 106, 144]}, {\"cell\": \"5 (31.3)\", \"bbox\": [126, 135, 151, 144]}, {\"cell\": \"1 (6.3)\", \"bbox\": [171, 135, 192, 144]}, {\"cell\": \"2 (12.5)\", \"bbox\": [217, 135, 242, 144]}, {\"cell\": \"2 (12.5)\", \"bbox\": [258, 135, 283, 144]}, {\"cell\": \"2 (12.5)\", \"bbox\": [303, 135, 328, 144]}, {\"cell\": \"3 (18.8)\", \"bbox\": [344, 135, 369, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [426, 135, 432, 144]}, {\"cell\": \"–\", \"bbox\": [463, 135, 469, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 65, 157]}, {\"cell\": \"–\", \"bbox\": [81, 147, 87, 156]}, {\"cell\": \"2 (25)\", \"bbox\": [126, 147, 145, 156]}, {\"cell\": \"1 (12.5)\", \"bbox\": [171, 147, 196, 156]}, {\"cell\": \"2 (25)\", \"bbox\": [217, 147, 237, 156]}, {\"cell\": \"1 (12.5)\", \"bbox\": [258, 147, 283, 156]}, {\"cell\": \"1 (12.5)\", \"bbox\": [303, 147, 328, 156]}, {\"cell\": \"1 (12.5)\", \"bbox\": [344, 147, 369, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [426, 147, 432, 156]}, {\"cell\": \"–\", \"bbox\": [463, 147, 469, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 159, 42, 169]}, {\"cell\": \"1 (14)\", \"bbox\": [81, 159, 101, 168]}, {\"cell\": \"1 (14)\", \"bbox\": [126, 159, 145, 168]}, {\"cell\": \"1 (14.3)\", \"bbox\": [171, 159, 196, 168]}, {\"cell\": \"2 (28.6)\", \"bbox\": [217, 159, 242, 168]}, {\"cell\": \"1 (14.3)\", \"bbox\": [258, 159, 283, 168]}, {\"cell\": \"1 (14.6)\", \"bbox\": [303, 159, 328, 168]}, {\"cell\": \"–\", \"bbox\": [344, 159, 350, 168]}, {\"cell\": \"–\", \"bbox\": [385, 159, 391, 168]}, {\"cell\": \"–\", \"bbox\": [426, 159, 432, 168]}, {\"cell\": \"–\", \"bbox\": [463, 159, 469, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 35, 181]}, {\"cell\": \"25 (11.6)\", \"bbox\": [81, 171, 110, 181]}, {\"cell\": \"33 (15.3)\", \"bbox\": [126, 171, 155, 181]}, {\"cell\": \"32 (14.8\", \"bbox\": [171, 171, 197, 181]}, {\"cell\": \"40 (18.5)\", \"bbox\": [213, 171, 242, 181]}, {\"cell\": \"27 (12.5)\", \"bbox\": [258, 171, 287, 181]}, {\"cell\": \"20 (9.3)\", \"bbox\": [303, 171, 328, 181]}, {\"cell\": \"21 (9.7)\", \"bbox\": [344, 171, 369, 181]}, {\"cell\": \"14 (6.5)\", \"bbox\": [385, 171, 410, 181]}, {\"cell\": \"8 (3.7)\", \"bbox\": [426, 171, 447, 181]}, {\"cell\": \"4 (1.9)\", \"bbox\": [463, 171, 484, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4646885_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}208{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Remote Arm</b></td><td><b>Standard Arm</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>On</td><td>Off</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>On-High</td><td>On-High</td></tr><tr><td>[EMPTY_CELL]</td><td>On</td><td>Off</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>On-High</td><td>On-High</td></tr><tr><td>[EMPTY_CELL]</td><td>On</td><td>Off</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>On-High</td><td>On-High</td></tr><tr><td>[EMPTY_CELL]</td><td>On</td><td>Off</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>On-High</td><td>On-High</td></tr><tr><td>[EMPTY_CELL]</td><td>On</td><td>Off</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Remote Arm</b>\", \"bbox\": [238, 5, 291, 14]}, {\"cell\": \"<b>Standard Arm</b>\", \"bbox\": [392, 5, 449, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 76, 35]}, {\"cell\": \"On\", \"bbox\": [259, 27, 271, 36]}, {\"cell\": \"Off\", \"bbox\": [414, 27, 427, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 269, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 81, 73, 88]}, {\"cell\": \"On-High\", \"bbox\": [249, 80, 280, 90]}, {\"cell\": \"On-High\", \"bbox\": [405, 80, 436, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 103, 77, 111]}, {\"cell\": \"On\", \"bbox\": [259, 103, 271, 112]}, {\"cell\": \"Off\", \"bbox\": [414, 103, 427, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 125, 98, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 147, 73, 155]}, {\"cell\": \"On-High\", \"bbox\": [249, 147, 280, 157]}, {\"cell\": \"On-High\", \"bbox\": [405, 147, 436, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 170, 77, 177]}, {\"cell\": \"On\", \"bbox\": [259, 169, 271, 179]}, {\"cell\": \"Off\", \"bbox\": [414, 169, 427, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 107, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 214, 73, 222]}, {\"cell\": \"On-High\", \"bbox\": [249, 214, 280, 224]}, {\"cell\": \"On-High\", \"bbox\": [405, 214, 436, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 236, 77, 244]}, {\"cell\": \"On\", \"bbox\": [259, 236, 271, 246]}, {\"cell\": \"Off\", \"bbox\": [414, 236, 427, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 259, 100, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 281, 73, 289]}, {\"cell\": \"On-High\", \"bbox\": [249, 281, 280, 290]}, {\"cell\": \"On-High\", \"bbox\": [405, 281, 436, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 303, 77, 311]}, {\"cell\": \"On\", \"bbox\": [259, 303, 271, 313]}, {\"cell\": \"Off\", \"bbox\": [414, 303, 427, 313]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2705368_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}209{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>First author</b></td><td><b>Type of study</b></td><td><b>Overall patient number</b></td><td><b>Year of publication</b></td><td><b>Patients number by arm</b></td><td><b>Chemotherapy regimen</b></td><td><b>Dose (mg/m2)</b></td><td><b>Treatment schedule</b></td><td><b>Treatment duration</b></td></tr></thead><tbody><tr><td>Carraro [12]</td><td>Phase II</td><td>11</td><td>2001</td><td>11</td><td>Cisp + Gem</td><td>30 + 1000</td><td>[EMPTY_CELL]</td><td>NA</td></tr><tr><td>Malik [13]</td><td>Phase II</td><td>11</td><td>2003</td><td>11</td><td>Cisp + Gem</td><td>70 + 1000</td><td>[EMPTY_CELL]</td><td>Until DP or UT</td></tr><tr><td>Baluch [14]</td><td>Phase II</td><td>14</td><td>2003</td><td>14</td><td>Cisp + Gem</td><td>60 + 1000</td><td>[EMPTY_CELL]</td><td>NA</td></tr><tr><td>Reyes-Vidal [15]</td><td>Phase II</td><td>44</td><td>2003</td><td>44</td><td>Cisp + Gem</td><td>35 + 1250</td><td>[EMPTY_CELL]</td><td>NA</td></tr><tr><td>Doval [16]</td><td>Phase II</td><td>30</td><td>2004</td><td>30</td><td>Cisp + Gem</td><td>70 + 1000</td><td>[EMPTY_CELL]</td><td>Six cycles unless DP or UT</td></tr><tr><td>Thongprasert [17]</td><td>Phase II</td><td>43</td><td>2005</td><td>43</td><td>Cisp + Gem</td><td>75 + 1250</td><td>[EMPTY_CELL]</td><td>Until DP or UT</td></tr><tr><td>Kim [18]</td><td>Phase II</td><td>29</td><td>2006</td><td>29</td><td>Cisp + Gem</td><td>60 + 1250</td><td>[EMPTY_CELL]</td><td>Until DP</td></tr><tr><td>Giuliani [19]</td><td>Phase II</td><td>38</td><td>2006</td><td>38</td><td>Cisp + Gem</td><td>80 + 1000</td><td>[EMPTY_CELL]</td><td>Six cycles unless DP or UT</td></tr><tr><td>Park [20]</td><td>Phase II</td><td>27</td><td>2006</td><td>27</td><td>Cisp + Gem</td><td>75 + 1000</td><td>[EMPTY_CELL]</td><td>NA</td></tr><tr><td>Lee [21]</td><td>Phase II</td><td>24</td><td>2006</td><td>24</td><td>Cisp + Gem</td><td>70 + 1000</td><td>[EMPTY_CELL]</td><td>Until DP or UT</td></tr><tr><td>Meyerhardt [22]</td><td>Phase II</td><td>33</td><td>2007</td><td>33</td><td>Cisp + Gem</td><td>30 + 1000</td><td>[EMPTY_CELL]</td><td>Until DP or UT</td></tr><tr><td>Charoentum [23]</td><td>Retrospective study</td><td>42</td><td>2007</td><td>42</td><td>Cisp + Gem</td><td>75 + 1250</td><td>[EMPTY_CELL]</td><td>NA</td></tr><tr><td>Lee [21]</td><td>Phase II</td><td>35</td><td>2008</td><td>35</td><td>Cisp + Gem</td><td>70 + 1250</td><td>[EMPTY_CELL]</td><td>Eight cycles</td></tr><tr><td rowspan=\\\"2\\\">Valle [24]</td><td rowspan=\\\"2\\\">Randomized comparative Phase II</td><td rowspan=\\\"2\\\">86</td><td rowspan=\\\"2\\\">2009</td><td>42</td><td>Cisp + Gem</td><td>25 + 1000</td><td>[EMPTY_CELL]</td><td>Eight cycles unless DP or UT</td></tr><tr><td>44</td><td>Gem</td><td>1000</td><td>d1d8d15-q4w</td><td>Six cycles unless DP or UT</td></tr><tr><td>Goldstein [25]</td><td>Phase II</td><td>50</td><td>2010</td><td>50</td><td>Cisp + Gem</td><td>20 + 1000</td><td>[EMPTY_CELL]</td><td>Until DP or UT</td></tr><tr><td rowspan=\\\"2\\\">Okusaka [26]</td><td rowspan=\\\"2\\\">Randomized comparative Phase II</td><td rowspan=\\\"2\\\">83</td><td rowspan=\\\"2\\\">2010</td><td>41</td><td>Cisp + Gem</td><td>25 + 1000</td><td>[EMPTY_CELL]</td><td>Sixteen cycles unless DP or UT</td></tr><tr><td>42</td><td>Gem</td><td>1000</td><td>d1d8d15-q4w</td><td>Twelve cycles unless DP or UT</td></tr><tr><td rowspan=\\\"2\\\">Valle [8]</td><td rowspan=\\\"2\\\">Phase III</td><td rowspan=\\\"2\\\">410</td><td rowspan=\\\"2\\\">2010</td><td>204</td><td>Cisp + Gem</td><td>25 + 1000</td><td>[EMPTY_CELL]</td><td>Eight cycles unless DP or UT</td></tr><tr><td>206</td><td>Gem</td><td>1000</td><td>d1d8d15-q3w</td><td>Six cycles unless DP or UT</td></tr><tr><td rowspan=\\\"2\\\">Weatherly [27]</td><td rowspan=\\\"2\\\">Retrospective study</td><td rowspan=\\\"2\\\">85</td><td rowspan=\\\"2\\\">2011</td><td>53</td><td>Cisp + Gem</td><td>NA</td><td>[EMPTY_CELL]</td><td>NA</td></tr><tr><td>32</td><td>“Alternative” regimens</td><td>NA</td><td>NA</td><td>NA</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>First author</b>\", \"bbox\": [1, 27, 39, 36]}, {\"cell\": \"<b>Type of study</b>\", \"bbox\": [66, 27, 112, 36]}, {\"cell\": \"<b>Overall patient number</b>\", \"bbox\": [119, 6, 146, 36]}, {\"cell\": \"<b>Year of publication</b>\", \"bbox\": [152, 16, 190, 36]}, {\"cell\": \"<b>Patients number by arm</b>\", \"bbox\": [196, 6, 223, 36]}, {\"cell\": \"<b>Chemotherapy regimen</b>\", \"bbox\": [229, 16, 279, 36]}, {\"cell\": \"<b>Dose (mg/m2)</b>\", \"bbox\": [285, 27, 331, 36]}, {\"cell\": \"<b>Treatment schedule</b>\", \"bbox\": [337, 27, 402, 36]}, {\"cell\": \"<b>Treatment duration</b>\", \"bbox\": [422, 16, 457, 36]}, {\"cell\": \"Carraro [12]\", \"bbox\": [1, 44, 42, 54]}, {\"cell\": \"Phase II\", \"bbox\": [66, 44, 92, 54]}, {\"cell\": \"11\", \"bbox\": [123, 44, 133, 54]}, {\"cell\": \"2001\", \"bbox\": [152, 44, 171, 54]}, {\"cell\": \"11\", \"bbox\": [200, 44, 210, 54]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 44, 270, 54]}, {\"cell\": \"30 + 1000\", \"bbox\": [285, 44, 322, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 44, 416, 54]}, {\"cell\": \"NA\", \"bbox\": [422, 44, 434, 54]}, {\"cell\": \"Malik [13]\", \"bbox\": [1, 55, 35, 64]}, {\"cell\": \"Phase II\", \"bbox\": [66, 55, 92, 64]}, {\"cell\": \"11\", \"bbox\": [123, 55, 133, 64]}, {\"cell\": \"2003\", \"bbox\": [152, 55, 171, 64]}, {\"cell\": \"11\", \"bbox\": [200, 55, 210, 64]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 55, 270, 64]}, {\"cell\": \"70 + 1000\", \"bbox\": [285, 55, 322, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 55, 383, 64]}, {\"cell\": \"Until DP or UT\", \"bbox\": [422, 55, 470, 64]}, {\"cell\": \"Baluch [14]\", \"bbox\": [1, 65, 39, 74]}, {\"cell\": \"Phase II\", \"bbox\": [66, 65, 92, 74]}, {\"cell\": \"14\", \"bbox\": [123, 65, 133, 74]}, {\"cell\": \"2003\", \"bbox\": [152, 65, 171, 74]}, {\"cell\": \"14\", \"bbox\": [200, 65, 210, 74]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 65, 270, 74]}, {\"cell\": \"60 + 1000\", \"bbox\": [285, 65, 322, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 65, 383, 74]}, {\"cell\": \"NA\", \"bbox\": [422, 65, 434, 74]}, {\"cell\": \"Reyes-Vidal [15]\", \"bbox\": [1, 76, 54, 85]}, {\"cell\": \"Phase II\", \"bbox\": [66, 76, 92, 85]}, {\"cell\": \"44\", \"bbox\": [123, 76, 133, 85]}, {\"cell\": \"2003\", \"bbox\": [152, 76, 171, 85]}, {\"cell\": \"44\", \"bbox\": [200, 76, 210, 85]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 76, 270, 85]}, {\"cell\": \"35 + 1250\", \"bbox\": [285, 76, 322, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 76, 391, 85]}, {\"cell\": \"NA\", \"bbox\": [422, 76, 434, 85]}, {\"cell\": \"Doval [16]\", \"bbox\": [1, 86, 35, 95]}, {\"cell\": \"Phase II\", \"bbox\": [66, 86, 92, 95]}, {\"cell\": \"30\", \"bbox\": [123, 86, 133, 95]}, {\"cell\": \"2004\", \"bbox\": [152, 86, 171, 95]}, {\"cell\": \"30\", \"bbox\": [200, 86, 210, 95]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 86, 270, 95]}, {\"cell\": \"70 + 1000\", \"bbox\": [285, 86, 322, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 86, 383, 95]}, {\"cell\": \"Six cycles unless DP or UT\", \"bbox\": [422, 86, 475, 106]}, {\"cell\": \"Thongprasert [17]\", \"bbox\": [1, 107, 60, 116]}, {\"cell\": \"Phase II\", \"bbox\": [66, 107, 92, 116]}, {\"cell\": \"43\", \"bbox\": [123, 107, 133, 116]}, {\"cell\": \"2005\", \"bbox\": [152, 107, 171, 116]}, {\"cell\": \"43\", \"bbox\": [200, 107, 210, 116]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 107, 270, 116]}, {\"cell\": \"75 + 1250\", \"bbox\": [285, 107, 322, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 107, 383, 116]}, {\"cell\": \"Until DP or UT\", \"bbox\": [422, 107, 470, 116]}, {\"cell\": \"Kim [18]\", \"bbox\": [1, 117, 30, 127]}, {\"cell\": \"Phase II\", \"bbox\": [66, 117, 92, 127]}, {\"cell\": \"29\", \"bbox\": [123, 117, 133, 127]}, {\"cell\": \"2006\", \"bbox\": [152, 117, 171, 127]}, {\"cell\": \"29\", \"bbox\": [200, 117, 210, 127]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 117, 270, 127]}, {\"cell\": \"60 + 1250\", \"bbox\": [285, 117, 322, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 117, 383, 127]}, {\"cell\": \"Until DP\", \"bbox\": [422, 117, 450, 127]}, {\"cell\": \"Giuliani [19]\", \"bbox\": [1, 128, 41, 137]}, {\"cell\": \"Phase II\", \"bbox\": [66, 128, 92, 137]}, {\"cell\": \"38\", \"bbox\": [123, 128, 133, 137]}, {\"cell\": \"2006\", \"bbox\": [152, 128, 171, 137]}, {\"cell\": \"38\", \"bbox\": [200, 128, 210, 137]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 128, 270, 137]}, {\"cell\": \"80 + 1000\", \"bbox\": [285, 128, 322, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 128, 383, 137]}, {\"cell\": \"Six cycles unless DP or UT\", \"bbox\": [422, 128, 475, 148]}, {\"cell\": \"Park [20]\", \"bbox\": [1, 149, 31, 158]}, {\"cell\": \"Phase II\", \"bbox\": [66, 149, 92, 158]}, {\"cell\": \"27\", \"bbox\": [123, 149, 133, 158]}, {\"cell\": \"2006\", \"bbox\": [152, 149, 171, 158]}, {\"cell\": \"27\", \"bbox\": [200, 149, 210, 158]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 149, 270, 158]}, {\"cell\": \"75 + 1000\", \"bbox\": [285, 149, 322, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 149, 395, 158]}, {\"cell\": \"NA\", \"bbox\": [422, 149, 434, 158]}, {\"cell\": \"Lee [21]\", \"bbox\": [1, 159, 28, 169]}, {\"cell\": \"Phase II\", \"bbox\": [66, 159, 92, 169]}, {\"cell\": \"24\", \"bbox\": [123, 159, 133, 169]}, {\"cell\": \"2006\", \"bbox\": [152, 159, 171, 169]}, {\"cell\": \"24\", \"bbox\": [200, 159, 210, 169]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 159, 270, 169]}, {\"cell\": \"70 + 1000\", \"bbox\": [285, 159, 322, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 159, 383, 169]}, {\"cell\": \"Until DP or UT\", \"bbox\": [422, 159, 470, 169]}, {\"cell\": \"Meyerhardt [22]\", \"bbox\": [1, 170, 54, 179]}, {\"cell\": \"Phase II\", \"bbox\": [66, 170, 92, 179]}, {\"cell\": \"33\", \"bbox\": [123, 170, 133, 179]}, {\"cell\": \"2007\", \"bbox\": [152, 170, 171, 179]}, {\"cell\": \"33\", \"bbox\": [200, 170, 210, 179]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 170, 270, 179]}, {\"cell\": \"30 + 1000\", \"bbox\": [285, 170, 322, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 170, 391, 179]}, {\"cell\": \"Until DP or UT\", \"bbox\": [422, 170, 470, 179]}, {\"cell\": \"Charoentum [23]\", \"bbox\": [1, 180, 58, 190]}, {\"cell\": \"Retrospective study\", \"bbox\": [66, 180, 110, 200]}, {\"cell\": \"42\", \"bbox\": [123, 180, 133, 190]}, {\"cell\": \"2007\", \"bbox\": [152, 180, 171, 190]}, {\"cell\": \"42\", \"bbox\": [200, 180, 210, 190]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 180, 270, 190]}, {\"cell\": \"75 + 1250\", \"bbox\": [285, 180, 322, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 180, 383, 190]}, {\"cell\": \"NA\", \"bbox\": [422, 180, 434, 190]}, {\"cell\": \"Lee [21]\", \"bbox\": [1, 201, 28, 210]}, {\"cell\": \"Phase II\", \"bbox\": [66, 201, 92, 210]}, {\"cell\": \"35\", \"bbox\": [123, 201, 133, 210]}, {\"cell\": \"2008\", \"bbox\": [152, 201, 171, 210]}, {\"cell\": \"35\", \"bbox\": [200, 201, 210, 210]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 201, 270, 210]}, {\"cell\": \"70 + 1250\", \"bbox\": [285, 201, 322, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 201, 383, 210]}, {\"cell\": \"Eight cycles\", \"bbox\": [422, 201, 461, 210]}, {\"cell\": \"Valle [24]\", \"bbox\": [1, 212, 33, 221]}, {\"cell\": \"Randomized comparative Phase II\", \"bbox\": [66, 212, 113, 242]}, {\"cell\": \"86\", \"bbox\": [123, 212, 133, 221]}, {\"cell\": \"2009\", \"bbox\": [152, 212, 171, 221]}, {\"cell\": \"42\", \"bbox\": [200, 212, 210, 221]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 212, 270, 221]}, {\"cell\": \"25 + 1000\", \"bbox\": [285, 212, 322, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 212, 391, 221]}, {\"cell\": \"Eight cycles unless DP or UT\", \"bbox\": [422, 212, 461, 242]}, {\"cell\": \"44\", \"bbox\": [200, 243, 210, 252]}, {\"cell\": \"Gem\", \"bbox\": [229, 243, 247, 252]}, {\"cell\": \"1000\", \"bbox\": [303, 243, 322, 252]}, {\"cell\": \"d1d8d15-q4w\", \"bbox\": [337, 243, 385, 252]}, {\"cell\": \"Six cycles unless DP or UT\", \"bbox\": [422, 243, 475, 263]}, {\"cell\": \"Goldstein [25]\", \"bbox\": [1, 264, 48, 273]}, {\"cell\": \"Phase II\", \"bbox\": [66, 264, 92, 273]}, {\"cell\": \"50\", \"bbox\": [123, 264, 133, 273]}, {\"cell\": \"2010\", \"bbox\": [152, 264, 171, 273]}, {\"cell\": \"50\", \"bbox\": [200, 264, 210, 273]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 264, 270, 273]}, {\"cell\": \"20 + 1000\", \"bbox\": [285, 264, 322, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 264, 391, 273]}, {\"cell\": \"Until DP or UT\", \"bbox\": [422, 264, 470, 273]}, {\"cell\": \"Okusaka [26]\", \"bbox\": [1, 274, 45, 284]}, {\"cell\": \"Randomized comparative Phase II\", \"bbox\": [66, 274, 113, 305]}, {\"cell\": \"83\", \"bbox\": [123, 274, 133, 284]}, {\"cell\": \"2010\", \"bbox\": [152, 274, 171, 284]}, {\"cell\": \"41\", \"bbox\": [200, 274, 210, 284]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 274, 270, 284]}, {\"cell\": \"25 + 1000\", \"bbox\": [285, 274, 322, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 274, 391, 284]}, {\"cell\": \"Sixteen cycles unless DP or UT\", \"bbox\": [422, 274, 468, 305]}, {\"cell\": \"42\", \"bbox\": [200, 306, 210, 315]}, {\"cell\": \"Gem\", \"bbox\": [229, 306, 247, 315]}, {\"cell\": \"1000\", \"bbox\": [303, 306, 322, 315]}, {\"cell\": \"d1d8d15-q4w\", \"bbox\": [337, 306, 385, 315]}, {\"cell\": \"Twelve cycles unless DP or UT\", \"bbox\": [422, 306, 467, 336]}, {\"cell\": \"Valle [8]\", \"bbox\": [1, 337, 29, 346]}, {\"cell\": \"Phase III\", \"bbox\": [66, 337, 94, 346]}, {\"cell\": \"410\", \"bbox\": [119, 337, 133, 346]}, {\"cell\": \"2010\", \"bbox\": [152, 337, 171, 346]}, {\"cell\": \"204\", \"bbox\": [196, 337, 210, 346]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 337, 270, 346]}, {\"cell\": \"25 + 1000\", \"bbox\": [285, 337, 322, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 337, 391, 346]}, {\"cell\": \"Eight cycles unless DP or UT\", \"bbox\": [422, 337, 461, 367]}, {\"cell\": \"206\", \"bbox\": [196, 369, 210, 378]}, {\"cell\": \"Gem\", \"bbox\": [229, 369, 247, 378]}, {\"cell\": \"1000\", \"bbox\": [303, 369, 322, 378]}, {\"cell\": \"d1d8d15-q3w\", \"bbox\": [337, 369, 385, 378]}, {\"cell\": \"Six cycles unless DP or UT\", \"bbox\": [422, 369, 460, 399]}, {\"cell\": \"Weatherly [27]\", \"bbox\": [1, 400, 50, 409]}, {\"cell\": \"Retrospective study\", \"bbox\": [66, 400, 110, 420]}, {\"cell\": \"85\", \"bbox\": [123, 400, 133, 409]}, {\"cell\": \"2011\", \"bbox\": [153, 400, 171, 409]}, {\"cell\": \"53\", \"bbox\": [200, 400, 210, 409]}, {\"cell\": \"Cisp + Gem\", \"bbox\": [229, 400, 270, 409]}, {\"cell\": \"NA\", \"bbox\": [310, 400, 322, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 400, 349, 409]}, {\"cell\": \"NA\", \"bbox\": [422, 400, 434, 409]}, {\"cell\": \"32\", \"bbox\": [200, 410, 210, 420]}, {\"cell\": \"“Alternative” regimens\", \"bbox\": [229, 410, 274, 430]}, {\"cell\": \"NA\", \"bbox\": [310, 410, 322, 420]}, {\"cell\": \"NA\", \"bbox\": [337, 410, 349, 420]}, {\"cell\": \"NA\", \"bbox\": [422, 410, 434, 420]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4298376_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}210{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Response</b></td><td><b>n</b></td><td><b>%</b></td></tr></thead><tbody><tr><td rowspan=\\\"4\\\">Sunburnt this summer</td><td>[EMPTY_CELL]</td><td>1396</td><td>33.6</td></tr><tr><td>Once</td><td>[EMPTY_CELL]</td><td>22.7</td></tr><tr><td>2 or 3 times</td><td>[EMPTY_CELL]</td><td>33.9</td></tr><tr><td>4 or more times</td><td>[EMPTY_CELL]</td><td>9.7</td></tr><tr><td rowspan=\\\"2\\\">Like a tan</td><td>[EMPTY_CELL]</td><td>1970</td><td>47.5</td></tr><tr><td>No</td><td>[EMPTY_CELL]</td><td>52.5</td></tr><tr><td rowspan=\\\"2\\\">Attempted to tan</td><td>[EMPTY_CELL]</td><td>1283</td><td>30.9</td></tr><tr><td>No</td><td>[EMPTY_CELL]</td><td>69.1</td></tr><tr><td colspan=\\\"4\\\">Engagement in protective behaviours</td></tr><tr><td rowspan=\\\"5\\\"> Wearing a hat</td><td>[EMPTY_CELL]</td><td>877</td><td>21.1</td></tr><tr><td>Rarely</td><td>[EMPTY_CELL]</td><td>21.0</td></tr><tr><td>Sometimes</td><td>[EMPTY_CELL]</td><td>25.9</td></tr><tr><td>Usually</td><td>[EMPTY_CELL]</td><td>21.3</td></tr><tr><td>Always</td><td>[EMPTY_CELL]</td><td>10.7</td></tr><tr><td rowspan=\\\"5\\\"> Protective clothing</td><td>[EMPTY_CELL]</td><td>863</td><td>20.8</td></tr><tr><td>Rarely</td><td>[EMPTY_CELL]</td><td>27.1</td></tr><tr><td>Sometimes</td><td>[EMPTY_CELL]</td><td>24.8</td></tr><tr><td>Usually</td><td>[EMPTY_CELL]</td><td>21.2</td></tr><tr><td>Always</td><td>[EMPTY_CELL]</td><td>6.1</td></tr><tr><td rowspan=\\\"5\\\"> Staying in the shade</td><td>[EMPTY_CELL]</td><td>76</td><td>1.8</td></tr><tr><td>Rarely</td><td>[EMPTY_CELL]</td><td>11.5</td></tr><tr><td>Sometimes</td><td>[EMPTY_CELL]</td><td>45.5</td></tr><tr><td>Usually</td><td>[EMPTY_CELL]</td><td>36.5</td></tr><tr><td>Always</td><td>[EMPTY_CELL]</td><td>4.6</td></tr><tr><td rowspan=\\\"5\\\"> Staying mostly inside</td><td>[EMPTY_CELL]</td><td>91</td><td>92.2</td></tr><tr><td>Rarely</td><td>[EMPTY_CELL]</td><td>15.7</td></tr><tr><td>Sometimes</td><td>[EMPTY_CELL]</td><td>42.2</td></tr><tr><td>Usually</td><td>[EMPTY_CELL]</td><td>36.1</td></tr><tr><td>Always</td><td>[EMPTY_CELL]</td><td>3.8</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"<b>Response</b>\", \"bbox\": [102, 4, 135, 13]}, {\"cell\": \"<b>n</b>\", \"bbox\": [180, 4, 186, 13]}, {\"cell\": \"<b>%</b>\", \"bbox\": [222, 4, 229, 13]}, {\"cell\": \"Sunburnt this summer\", \"bbox\": [1, 17, 74, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 17, 123, 27]}, {\"cell\": \"1396\", \"bbox\": [180, 17, 198, 27]}, {\"cell\": \"33.6\", \"bbox\": [222, 17, 236, 27]}, {\"cell\": \"Once\", \"bbox\": [102, 31, 121, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 31, 194, 41]}, {\"cell\": \"22.7\", \"bbox\": [222, 31, 236, 41]}, {\"cell\": \"2 or 3 times\", \"bbox\": [102, 45, 143, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 45, 198, 55]}, {\"cell\": \"33.9\", \"bbox\": [222, 45, 236, 55]}, {\"cell\": \"4 or more times\", \"bbox\": [102, 59, 156, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 59, 194, 69]}, {\"cell\": \"9.7\", \"bbox\": [225, 59, 236, 69]}, {\"cell\": \"Like a tan\", \"bbox\": [1, 73, 33, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 73, 115, 83]}, {\"cell\": \"1970\", \"bbox\": [180, 73, 198, 83]}, {\"cell\": \"47.5\", \"bbox\": [222, 73, 236, 83]}, {\"cell\": \"No\", \"bbox\": [102, 87, 114, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 87, 198, 97]}, {\"cell\": \"52.5\", \"bbox\": [222, 87, 236, 97]}, {\"cell\": \"Attempted to tan\", \"bbox\": [1, 101, 59, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 101, 115, 111]}, {\"cell\": \"1283\", \"bbox\": [180, 101, 198, 111]}, {\"cell\": \"30.9\", \"bbox\": [222, 101, 236, 111]}, {\"cell\": \"No\", \"bbox\": [102, 115, 114, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 115, 198, 125]}, {\"cell\": \"69.1\", \"bbox\": [222, 115, 236, 125]}, {\"cell\": \"Engagement in protective behaviours\", \"bbox\": [1, 129, 123, 139]}, {\"cell\": \" Wearing a hat\", \"bbox\": [8, 143, 55, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 143, 123, 153]}, {\"cell\": \"877\", \"bbox\": [180, 143, 194, 153]}, {\"cell\": \"21.1\", \"bbox\": [222, 143, 236, 153]}, {\"cell\": \"Rarely\", \"bbox\": [102, 157, 123, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 157, 194, 167]}, {\"cell\": \"21.0\", \"bbox\": [222, 157, 236, 167]}, {\"cell\": \"Sometimes\", \"bbox\": [102, 171, 140, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 171, 198, 181]}, {\"cell\": \"25.9\", \"bbox\": [222, 171, 236, 181]}, {\"cell\": \"Usually\", \"bbox\": [102, 185, 127, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 185, 194, 195]}, {\"cell\": \"21.3\", \"bbox\": [222, 185, 236, 195]}, {\"cell\": \"Always\", \"bbox\": [102, 199, 126, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 199, 194, 209]}, {\"cell\": \"10.7\", \"bbox\": [222, 199, 236, 209]}, {\"cell\": \" Protective clothing\", \"bbox\": [8, 213, 71, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 213, 123, 223]}, {\"cell\": \"863\", \"bbox\": [180, 213, 194, 223]}, {\"cell\": \"20.8\", \"bbox\": [222, 213, 236, 223]}, {\"cell\": \"Rarely\", \"bbox\": [102, 227, 123, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 227, 198, 237]}, {\"cell\": \"27.1\", \"bbox\": [222, 227, 236, 237]}, {\"cell\": \"Sometimes\", \"bbox\": [102, 241, 140, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 241, 198, 251]}, {\"cell\": \"24.8\", \"bbox\": [222, 241, 236, 251]}, {\"cell\": \"Usually\", \"bbox\": [102, 255, 127, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 255, 194, 265]}, {\"cell\": \"21.2\", \"bbox\": [222, 255, 236, 265]}, {\"cell\": \"Always\", \"bbox\": [102, 269, 126, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 269, 194, 279]}, {\"cell\": \"6.1\", \"bbox\": [225, 269, 236, 279]}, {\"cell\": \" Staying in the shade\", \"bbox\": [8, 283, 76, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 283, 123, 293]}, {\"cell\": \"76\", \"bbox\": [180, 283, 190, 293]}, {\"cell\": \"1.8\", \"bbox\": [225, 283, 236, 293]}, {\"cell\": \"Rarely\", \"bbox\": [102, 297, 123, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 297, 194, 307]}, {\"cell\": \"11.5\", \"bbox\": [222, 297, 236, 307]}, {\"cell\": \"Sometimes\", \"bbox\": [102, 311, 140, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 311, 198, 321]}, {\"cell\": \"45.5\", \"bbox\": [222, 311, 236, 321]}, {\"cell\": \"Usually\", \"bbox\": [102, 325, 127, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 325, 198, 335]}, {\"cell\": \"36.5\", \"bbox\": [222, 325, 236, 335]}, {\"cell\": \"Always\", \"bbox\": [102, 339, 126, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 339, 194, 349]}, {\"cell\": \"4.6\", \"bbox\": [225, 339, 236, 349]}, {\"cell\": \" Staying mostly inside\", \"bbox\": [8, 353, 78, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 353, 123, 363]}, {\"cell\": \"91\", \"bbox\": [180, 353, 190, 363]}, {\"cell\": \"92.2\", \"bbox\": [222, 353, 236, 363]}, {\"cell\": \"Rarely\", \"bbox\": [102, 367, 123, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 367, 194, 377]}, {\"cell\": \"15.7\", \"bbox\": [222, 367, 236, 377]}, {\"cell\": \"Sometimes\", \"bbox\": [102, 381, 140, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 381, 198, 391]}, {\"cell\": \"42.2\", \"bbox\": [222, 381, 236, 391]}, {\"cell\": \"Usually\", \"bbox\": [102, 395, 127, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 395, 198, 405]}, {\"cell\": \"36.1\", \"bbox\": [222, 395, 236, 405]}, {\"cell\": \"Always\", \"bbox\": [102, 409, 126, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 409, 194, 419]}, {\"cell\": \"3.8\", \"bbox\": [225, 409, 236, 419]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4944266_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}211{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Coefficient</b></td><td><b>Mean</b></td><td><b>Standard Deviation</b></td><td><b>95% <i>CI</i></b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−3.2931</td><td>1.6830</td><td>(−6.6478, −0.0008)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.0051</td><td>0.0019</td><td>(0.0014, 0.0089)</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.0007</td><td>0.0056</td><td>(−0.0120, 0.0102)</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>7.4643</td><td>1.8093</td><td>(4.1338, 11.2494)</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.0097</td><td>0.0022</td><td>(−0.0143, −0.0056)</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.0025</td><td>0.0086</td><td>(−0.0196, 0.0143)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Coefficient</b>\", \"bbox\": [21, 6, 74, 16]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [107, 6, 136, 16]}, {\"cell\": \"<b>Standard Deviation</b>\", \"bbox\": [160, 6, 254, 16]}, {\"cell\": \"<b>95% <i>CI</i></b>\", \"bbox\": [298, 6, 337, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 21, 229, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 37, 68, 49]}, {\"cell\": \"−3.2931\", \"bbox\": [102, 33, 141, 50]}, {\"cell\": \"1.6830\", \"bbox\": [191, 37, 223, 49]}, {\"cell\": \"(−6.6478, −0.0008)\", \"bbox\": [274, 33, 361, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 52, 70, 64]}, {\"cell\": \"0.0051\", \"bbox\": [106, 52, 138, 64]}, {\"cell\": \"0.0019\", \"bbox\": [191, 52, 223, 64]}, {\"cell\": \"(0.0014, 0.0089)\", \"bbox\": [280, 52, 355, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 67, 81, 94]}, {\"cell\": \"−0.0007\", \"bbox\": [102, 71, 141, 87]}, {\"cell\": \"0.0056\", \"bbox\": [191, 74, 223, 86]}, {\"cell\": \"(−0.0120, 0.0102)\", \"bbox\": [277, 71, 358, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 97, 246, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 113, 68, 125]}, {\"cell\": \"7.4643\", \"bbox\": [106, 113, 138, 125]}, {\"cell\": \"1.8093\", \"bbox\": [191, 113, 223, 125]}, {\"cell\": \"(4.1338, 11.2494)\", \"bbox\": [277, 113, 358, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 128, 70, 140]}, {\"cell\": \"−0.0097\", \"bbox\": [102, 124, 141, 141]}, {\"cell\": \"0.0022\", \"bbox\": [191, 128, 223, 140]}, {\"cell\": \"(−0.0143, −0.0056)\", \"bbox\": [274, 124, 361, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 143, 81, 170]}, {\"cell\": \"−0.0025\", \"bbox\": [102, 147, 141, 163]}, {\"cell\": \"0.0086\", \"bbox\": [191, 150, 223, 162]}, {\"cell\": \"(−0.0196, 0.0143)\", \"bbox\": [277, 147, 358, 163]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4586626_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}212{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene lists used for comparison</b></td><td><b>Biological process category</b></td><td><b>Number of overrepresented genes/all genes in category (p-value)</b></td></tr></thead><tbody><tr><td>Vac-4 up-regulated</td><td>[EMPTY_CELL]</td><td>7/181 (0.000)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>5/80 (0.000)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4/57 (0.001)</td></tr><tr><td>Pol-8 up-regulated</td><td>[EMPTY_CELL]</td><td>3/39 (0.010)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3/46 (0.016)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>6/175 (0.016)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4/85 (0.017)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2/18 (0.018)</td></tr><tr><td>Pol-16 up-regulated</td><td>[EMPTY_CELL]</td><td>9/171 (0.000)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>8/213 (0.003)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7/175 (0.004)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>17/758 (0.007)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3/37 (0.009)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2/16 (0.0015)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>11/433 (0.017)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene lists used for comparison</b>\", \"bbox\": [4, 4, 95, 13]}, {\"cell\": \"<b>Biological process category</b>\", \"bbox\": [105, 4, 184, 13]}, {\"cell\": \"<b>Number of overrepresented genes/all genes in category (p-value)</b>\", \"bbox\": [304, 4, 490, 13]}, {\"cell\": \"Vac-4 up-regulated\", \"bbox\": [4, 25, 60, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 25, 232, 34]}, {\"cell\": \"7/181 (0.000)\", \"bbox\": [304, 25, 343, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 34, 254, 43]}, {\"cell\": \"5/80 (0.000)\", \"bbox\": [304, 34, 340, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 43, 189, 52]}, {\"cell\": \"4/57 (0.001)\", \"bbox\": [304, 43, 340, 52]}, {\"cell\": \"Pol-8 up-regulated\", \"bbox\": [4, 52, 59, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 52, 204, 61]}, {\"cell\": \"3/39 (0.010)\", \"bbox\": [304, 52, 340, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 61, 210, 70]}, {\"cell\": \"3/46 (0.016)\", \"bbox\": [304, 61, 340, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 70, 242, 79]}, {\"cell\": \"6/175 (0.016)\", \"bbox\": [304, 70, 343, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 79, 290, 88]}, {\"cell\": \"4/85 (0.017)\", \"bbox\": [304, 79, 340, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 88, 248, 97]}, {\"cell\": \"2/18 (0.018)\", \"bbox\": [304, 88, 340, 97]}, {\"cell\": \"Pol-16 up-regulated\", \"bbox\": [4, 97, 62, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 97, 197, 106]}, {\"cell\": \"9/171 (0.000)\", \"bbox\": [304, 97, 343, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 106, 217, 115]}, {\"cell\": \"8/213 (0.003)\", \"bbox\": [304, 106, 343, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 115, 242, 124]}, {\"cell\": \"7/175 (0.004)\", \"bbox\": [304, 115, 343, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 124, 204, 133]}, {\"cell\": \"17/758 (0.007)\", \"bbox\": [304, 124, 347, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 133, 230, 142]}, {\"cell\": \"3/37 (0.009)\", \"bbox\": [304, 133, 340, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 142, 198, 151]}, {\"cell\": \"2/16 (0.0015)\", \"bbox\": [304, 142, 344, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 151, 199, 160]}, {\"cell\": \"11/433 (0.017)\", \"bbox\": [304, 151, 347, 160]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1821010_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}213{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Hospitals with Catheterization Facilities (n = 4,116)</b></td><td><b>Hospitals without Catheterization Facilities (n = 11,190)</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\">Medication class* (%)</td></tr><tr><td> Aspirin</td><td>65.4</td><td>[EMPTY_CELL]</td></tr><tr><td> Beta-blockers</td><td>57.7</td><td>[EMPTY_CELL]</td></tr><tr><td> ACE inhibitors</td><td>45.2</td><td>[EMPTY_CELL]</td></tr><tr><td> Nitrates (any form)</td><td>72.7</td><td>[EMPTY_CELL]</td></tr><tr><td> Calcium channel blockers</td><td>27.6</td><td>[EMPTY_CELL]</td></tr><tr><td> Lipid-lowering agents</td><td>24.9</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Anti-ischemic combination therapy at 1 year<sup>† </sup>(%)</td></tr><tr><td> Monotherapy</td><td>38.8</td><td>[EMPTY_CELL]</td></tr><tr><td> Double therapy</td><td>27.3</td><td>[EMPTY_CELL]</td></tr><tr><td> Triple therapy</td><td>7.8</td><td>[EMPTY_CELL]</td></tr><tr><td>Refills for sublingual nitrates at 1 year (%)</td><td>31.4</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Emergency room visits at 1 year (%)</td></tr><tr><td> 0 visits</td><td>43.3</td><td>[EMPTY_CELL]</td></tr><tr><td> 1–3 visits</td><td>41.4</td><td>[EMPTY_CELL]</td></tr><tr><td> ≤4 visits</td><td>15.4</td><td>[EMPTY_CELL]</td></tr><tr><td>Physician visits at 1 year (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 0–3 visits</td><td>22.3</td><td>[EMPTY_CELL]</td></tr><tr><td> 4–8 visits</td><td>38.5</td><td>[EMPTY_CELL]</td></tr><tr><td> ≤9 visits</td><td>39.2</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Hospitals with Catheterization Facilities (n = 4,116)</b>\", \"bbox\": [173, 5, 329, 23]}, {\"cell\": \"<b>Hospitals without Catheterization Facilities (n = 11,190)</b>\", \"bbox\": [351, 5, 484, 23]}, {\"cell\": \"Medication class* (%)\", \"bbox\": [4, 36, 77, 46]}, {\"cell\": \" Aspirin\", \"bbox\": [14, 46, 40, 56]}, {\"cell\": \"65.4\", \"bbox\": [243, 46, 259, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 46, 425, 56]}, {\"cell\": \" Beta-blockers\", \"bbox\": [14, 56, 62, 66]}, {\"cell\": \"57.7\", \"bbox\": [243, 56, 259, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 56, 425, 66]}, {\"cell\": \" ACE inhibitors\", \"bbox\": [14, 66, 66, 76]}, {\"cell\": \"45.2\", \"bbox\": [243, 66, 259, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 66, 425, 76]}, {\"cell\": \" Nitrates (any form)\", \"bbox\": [14, 77, 81, 87]}, {\"cell\": \"72.7\", \"bbox\": [243, 77, 259, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 77, 425, 87]}, {\"cell\": \" Calcium channel blockers\", \"bbox\": [14, 87, 102, 97]}, {\"cell\": \"27.6\", \"bbox\": [243, 87, 259, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 87, 425, 97]}, {\"cell\": \" Lipid-lowering agents\", \"bbox\": [14, 97, 87, 107]}, {\"cell\": \"24.9\", \"bbox\": [243, 97, 259, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 97, 425, 107]}, {\"cell\": \"Anti-ischemic combination therapy at 1 year<sup>† </sup>(%)\", \"bbox\": [4, 107, 170, 117]}, {\"cell\": \" Monotherapy\", \"bbox\": [14, 118, 61, 128]}, {\"cell\": \"38.8\", \"bbox\": [243, 118, 259, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 118, 425, 128]}, {\"cell\": \" Double therapy\", \"bbox\": [14, 128, 69, 138]}, {\"cell\": \"27.3\", \"bbox\": [243, 128, 259, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 128, 425, 138]}, {\"cell\": \" Triple therapy\", \"bbox\": [14, 138, 64, 148]}, {\"cell\": \"7.8\", \"bbox\": [245, 138, 257, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 138, 423, 148]}, {\"cell\": \"Refills for sublingual nitrates at 1 year (%)\", \"bbox\": [4, 148, 145, 158]}, {\"cell\": \"31.4\", \"bbox\": [243, 148, 259, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 148, 425, 158]}, {\"cell\": \"Emergency room visits at 1 year (%)\", \"bbox\": [4, 159, 127, 169]}, {\"cell\": \" 0 visits\", \"bbox\": [14, 169, 39, 179]}, {\"cell\": \"43.3\", \"bbox\": [243, 169, 259, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 169, 425, 179]}, {\"cell\": \" 1–3 visits\", \"bbox\": [14, 179, 47, 189]}, {\"cell\": \"41.4\", \"bbox\": [243, 179, 259, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 179, 425, 189]}, {\"cell\": \" ≤4 visits\", \"bbox\": [14, 189, 44, 199]}, {\"cell\": \"15.4\", \"bbox\": [243, 189, 259, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 189, 425, 199]}, {\"cell\": \"Physician visits at 1 year (%)\", \"bbox\": [4, 200, 100, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0–3 visits\", \"bbox\": [14, 210, 47, 220]}, {\"cell\": \"22.3\", \"bbox\": [243, 210, 259, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 210, 425, 220]}, {\"cell\": \" 4–8 visits\", \"bbox\": [14, 220, 47, 230]}, {\"cell\": \"38.5\", \"bbox\": [243, 220, 259, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 220, 425, 230]}, {\"cell\": \" ≤9 visits\", \"bbox\": [14, 231, 44, 240]}, {\"cell\": \"39.2\", \"bbox\": [243, 231, 259, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 231, 425, 240]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1664559_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}214{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Species</b></td><td><b>method</b></td><td><b>gene</b></td><td><b>primers</b></td><td><b>Nucleotide sequence (5'- 3')</b></td><td><b>Ampliconsize (bp)<sup>c</sup></b></td><td><b>Ref.</b></td></tr></thead><tbody><tr><td>Ixodes</td><td>PCR</td><td>16S ribosomal RNA</td><td>F-16sIxodes</td><td>[EMPTY_CELL]</td><td>97</td><td>[12]</td></tr><tr><td>(extraction control)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>R-16sIxodes</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>16s-Ixodes-Probe</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>B. burgdorferi s.l</i>.</td><td>real time PCR (duplex)</td><td>23S-rRNA</td><td>Bb23Sf</td><td>[EMPTY_CELL]</td><td>75</td><td>[14]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Bb23Sr</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Bb23Sp-FAM</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>A. phagocytophilum</i></td><td>real time PCR (duplex)</td><td>msp2</td><td>ApMSP2f</td><td>[EMPTY_CELL]</td><td>77</td><td>[14]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>ApMSP2r</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>ApMSP2p-HEX</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>B. burgdorferi s.l</i>.</td><td>PCR</td><td>flagellin</td><td>FLA1</td><td>[EMPTY_CELL]</td><td>482</td><td>[16]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>FLA2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>A. phagocytophilum</i></td><td>PCR</td><td>msp2</td><td>msp2-3f</td><td>[EMPTY_CELL]</td><td>334</td><td>[15]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>msp2-3r</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TBEv</td><td>rRT-PCR</td><td>3' non-coding region</td><td>F-TBE 1</td><td>[EMPTY_CELL]</td><td>67</td><td>[12]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>R-TBE 1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>TBE-Probe-WT</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TBEv</td><td>nested PCR</td><td>non-structural protein NS5</td><td>FSM-1</td><td>[EMPTY_CELL]</td><td>357</td><td>[13]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>FSM-2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>non-structural protein NS5</td><td>FSM-1i</td><td>[EMPTY_CELL]</td><td>251</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>FSM-2i</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Rickettsia spp</i>.</td><td>PCR</td><td>citrate synthase</td><td>RpCS.877p</td><td>[EMPTY_CELL]</td><td>381</td><td>[17]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>RpCS1258n</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Cand. N. mikurensis</i></td><td>PCR</td><td>groEL</td><td>NM-128s</td><td>[EMPTY_CELL]</td><td>1024</td><td>[19]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>NM-1152as</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Babesia/Theileria</td><td>PCR</td><td>18S rRNA</td><td>RLB-F2</td><td>[EMPTY_CELL]</td><td>400</td><td>[18]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>RLB-R2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Species</b>\", \"bbox\": [1, 4, 28, 13]}, {\"cell\": \"<b>method</b>\", \"bbox\": [62, 4, 91, 13]}, {\"cell\": \"<b>gene</b>\", \"bbox\": [132, 4, 152, 13]}, {\"cell\": \"<b>primers</b>\", \"bbox\": [214, 4, 243, 13]}, {\"cell\": \"<b>Nucleotide sequence (5'- 3')</b>\", \"bbox\": [269, 4, 368, 13]}, {\"cell\": \"<b>Ampliconsize (bp)<sup>c</sup></b>\", \"bbox\": [431, 4, 466, 22]}, {\"cell\": \"<b>Ref.</b>\", \"bbox\": [470, 4, 484, 13]}, {\"cell\": \"Ixodes\", \"bbox\": [1, 26, 23, 36]}, {\"cell\": \"PCR\", \"bbox\": [62, 26, 77, 36]}, {\"cell\": \"16S ribosomal RNA\", \"bbox\": [132, 26, 196, 36]}, {\"cell\": \"F-16sIxodes\", \"bbox\": [214, 26, 253, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 26, 401, 36]}, {\"cell\": \"97\", \"bbox\": [431, 26, 440, 36]}, {\"cell\": \"[12]\", \"bbox\": [470, 26, 483, 36]}, {\"cell\": \"(extraction control)\", \"bbox\": [1, 38, 36, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"R-16sIxodes\", \"bbox\": [214, 38, 254, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 38, 383, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16s-Ixodes-Probe\", \"bbox\": [214, 59, 252, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 59, 411, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>B. burgdorferi s.l</i>.\", \"bbox\": [1, 80, 53, 89]}, {\"cell\": \"real time PCR (duplex)\", \"bbox\": [62, 80, 108, 98]}, {\"cell\": \"23S-rRNA\", \"bbox\": [132, 80, 164, 89]}, {\"cell\": \"Bb23Sf\", \"bbox\": [214, 80, 238, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 80, 376, 89]}, {\"cell\": \"75\", \"bbox\": [431, 80, 440, 89]}, {\"cell\": \"[14]\", \"bbox\": [470, 80, 483, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bb23Sr\", \"bbox\": [214, 101, 238, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 101, 368, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bb23Sp-FAM\", \"bbox\": [214, 113, 257, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 113, 389, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>A. phagocytophilum</i>\", \"bbox\": [1, 125, 57, 143]}, {\"cell\": \"real time PCR (duplex)\", \"bbox\": [62, 125, 108, 143]}, {\"cell\": \"msp2\", \"bbox\": [132, 125, 152, 134]}, {\"cell\": \"ApMSP2f\", \"bbox\": [214, 125, 245, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 125, 388, 134]}, {\"cell\": \"77\", \"bbox\": [431, 125, 440, 134]}, {\"cell\": \"[14]\", \"bbox\": [470, 125, 483, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ApMSP2r\", \"bbox\": [214, 146, 245, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 146, 357, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ApMSP2p-HEX\", \"bbox\": [214, 158, 262, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 158, 386, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>B. burgdorferi s.l</i>.\", \"bbox\": [1, 170, 53, 179]}, {\"cell\": \"PCR\", \"bbox\": [62, 170, 77, 179]}, {\"cell\": \"flagellin\", \"bbox\": [132, 170, 159, 179]}, {\"cell\": \"FLA1\", \"bbox\": [214, 170, 232, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 170, 382, 179]}, {\"cell\": \"482\", \"bbox\": [431, 170, 444, 179]}, {\"cell\": \"[16]\", \"bbox\": [470, 170, 483, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FLA2\", \"bbox\": [214, 182, 232, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 182, 380, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>A. phagocytophilum</i>\", \"bbox\": [1, 194, 57, 212]}, {\"cell\": \"PCR\", \"bbox\": [62, 194, 77, 203]}, {\"cell\": \"msp2\", \"bbox\": [132, 194, 152, 203]}, {\"cell\": \"msp2-3f\", \"bbox\": [214, 194, 242, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 194, 370, 203]}, {\"cell\": \"334\", \"bbox\": [431, 194, 444, 203]}, {\"cell\": \"[15]\", \"bbox\": [470, 194, 483, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"msp2-3r\", \"bbox\": [214, 214, 242, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 214, 371, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TBEv\", \"bbox\": [1, 226, 17, 236]}, {\"cell\": \"rRT-PCR\", \"bbox\": [62, 226, 89, 236]}, {\"cell\": \"3' non-coding region\", \"bbox\": [132, 226, 203, 236]}, {\"cell\": \"F-TBE 1\", \"bbox\": [214, 226, 240, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 226, 348, 236]}, {\"cell\": \"67\", \"bbox\": [431, 226, 440, 236]}, {\"cell\": \"[12]\", \"bbox\": [470, 226, 483, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"R-TBE 1\", \"bbox\": [214, 238, 241, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 238, 370, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TBE-Probe-WT\", \"bbox\": [214, 250, 261, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 250, 375, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TBEv\", \"bbox\": [1, 262, 17, 272]}, {\"cell\": \"nested PCR\", \"bbox\": [62, 262, 101, 272]}, {\"cell\": \"non-structural protein NS5\", \"bbox\": [132, 262, 204, 281]}, {\"cell\": \"FSM-1\", \"bbox\": [214, 262, 236, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 262, 362, 272]}, {\"cell\": \"357\", \"bbox\": [431, 262, 444, 272]}, {\"cell\": \"[13]\", \"bbox\": [470, 262, 483, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FSM-2\", \"bbox\": [214, 283, 236, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 283, 362, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"non-structural protein NS5\", \"bbox\": [132, 295, 204, 314]}, {\"cell\": \"FSM-1i\", \"bbox\": [214, 295, 238, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 295, 363, 305]}, {\"cell\": \"251\", \"bbox\": [431, 295, 444, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FSM-2i\", \"bbox\": [214, 316, 238, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 316, 356, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Rickettsia spp</i>.\", \"bbox\": [1, 328, 45, 338]}, {\"cell\": \"PCR\", \"bbox\": [62, 328, 77, 338]}, {\"cell\": \"citrate synthase\", \"bbox\": [132, 328, 184, 338]}, {\"cell\": \"RpCS.877p\", \"bbox\": [214, 328, 250, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 328, 358, 338]}, {\"cell\": \"381\", \"bbox\": [431, 328, 444, 338]}, {\"cell\": \"[17]\", \"bbox\": [470, 328, 483, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RpCS1258n\", \"bbox\": [214, 340, 252, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 340, 369, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Cand. N. mikurensis</i>\", \"bbox\": [1, 352, 34, 370]}, {\"cell\": \"PCR\", \"bbox\": [62, 352, 77, 361]}, {\"cell\": \"groEL\", \"bbox\": [132, 352, 152, 361]}, {\"cell\": \"NM-128s\", \"bbox\": [214, 352, 244, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 352, 391, 361]}, {\"cell\": \"1024\", \"bbox\": [431, 352, 448, 361]}, {\"cell\": \"[19]\", \"bbox\": [470, 352, 483, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NM-1152as\", \"bbox\": [214, 373, 252, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 373, 397, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Babesia/Theileria\", \"bbox\": [1, 385, 55, 394]}, {\"cell\": \"PCR\", \"bbox\": [62, 385, 77, 394]}, {\"cell\": \"18S rRNA\", \"bbox\": [132, 385, 164, 394]}, {\"cell\": \"RLB-F2\", \"bbox\": [214, 385, 238, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 385, 368, 394]}, {\"cell\": \"400\", \"bbox\": [431, 385, 444, 394]}, {\"cell\": \"[18]\", \"bbox\": [470, 385, 483, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RLB-R2\", \"bbox\": [214, 397, 238, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 397, 370, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3337281_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}215{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Listen to <i>New Home New Life</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>yes</b></td><td><b>no</b></td></tr></thead><tbody><tr><td>Mine/UXO events1. Cases 1979–93 (per 10000 person-years)</td><td>[EMPTY_CELL]</td><td>9 (1.898)</td></tr><tr><td>2. Cases 1994–97 (per 10000 person years)Risk of a case occurring after 1994: OR 0.28, 95%CI 0.07–0.99 (in urban mined areas)</td><td>[EMPTY_CELL]</td><td>14 (14.763)</td></tr><tr><td>3. Upper limb injuries as proportion of all injuries among survivors of mine accidents after 1994Risk of an upper limb injury after 1994: OR 0.12, 95%CI 0.02–0.82 (in urban areas)</td><td>[EMPTY_CELL]</td><td>11/16 (69%)</td></tr><tr><td>Inappropriate attitudes and practices (search for metal, consider non-qualified person brave if go into mined area)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>4. With easy radio access (%)</td><td>[EMPTY_CELL]</td><td>65/423 (15.4%)</td></tr><tr><td>5. Difficult radio access (%)Risk of inappropriate behaviour, stratified by ease of access to radios OR 0.61, 95%CI 0.44–0.84</td><td>[EMPTY_CELL]</td><td>378/4216 (9%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Listen to <i>New Home New Life</i></b>\", \"bbox\": [394, 4, 493, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>yes</b>\", \"bbox\": [407, 27, 420, 36]}, {\"cell\": \"<b>no</b>\", \"bbox\": [466, 27, 477, 36]}, {\"cell\": \"Mine/UXO events1. Cases 1979–93 (per 10000 person-years)\", \"bbox\": [4, 49, 153, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 49, 432, 59]}, {\"cell\": \"9 (1.898)\", \"bbox\": [456, 49, 488, 59]}, {\"cell\": \"2. Cases 1994–97 (per 10000 person years)Risk of a case occurring after 1994: OR 0.28, 95%CI 0.07–0.99 (in urban mined areas)\", \"bbox\": [4, 68, 293, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 68, 432, 78]}, {\"cell\": \"14 (14.763)\", \"bbox\": [452, 68, 492, 78]}, {\"cell\": \"3. Upper limb injuries as proportion of all injuries among survivors of mine accidents after 1994Risk of an upper limb injury after 1994: OR 0.12, 95%CI 0.02–0.82 (in urban areas)\", \"bbox\": [4, 88, 326, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 88, 433, 98]}, {\"cell\": \"11/16 (69%)\", \"bbox\": [451, 88, 493, 98]}, {\"cell\": \"Inappropriate attitudes and practices (search for metal, consider non-qualified person brave if go into mined area)\", \"bbox\": [4, 107, 367, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4. With easy radio access (%)\", \"bbox\": [4, 127, 105, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 127, 439, 137]}, {\"cell\": \"65/423 (15.4%)\", \"bbox\": [446, 127, 498, 137]}, {\"cell\": \"5. Difficult radio access (%)Risk of inappropriate behaviour, stratified by ease of access to radios OR 0.61, 95%CI 0.44–0.84\", \"bbox\": [4, 137, 328, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 137, 434, 147]}, {\"cell\": \"378/4216 (9%)\", \"bbox\": [447, 137, 497, 147]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1352365_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}216{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Cut-off</b></td><td><b>Base rate</b></td><td><b>NPP</b></td><td><b>PPP</b></td></tr></thead><tbody><tr><td><b>Trial 1</b></td><td>< 6</td><td>.1</td><td>.50</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.44</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.38</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Trial 5</b></td><td>< 10</td><td>.1</td><td>.60</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.52</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.44</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Trial 1-5</b></td><td>< 43</td><td>.1</td><td>.50</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.43</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.37</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Interference list</b></td><td>< 5</td><td>.1</td><td>.68</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.59</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.50</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Trial 6</b></td><td>< 7</td><td>.1</td><td>.65</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.56</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.48</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Trial 7</b></td><td>< 7</td><td>.1</td><td>.64</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.55</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.46</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Trial 6-5</b></td><td>< 2</td><td>.1</td><td>.80</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.71</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.61</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Trial 7-5</b></td><td>< 2</td><td>.1</td><td>.59</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.52</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.45</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Recognition</b></td><td>< 12</td><td>.1</td><td>.64</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.55</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.47</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Corrected recognition score</b></td><td>< 11</td><td>.1</td><td>.15</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.13</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.12</td><td>[EMPTY_CELL]</td></tr><tr><td><b>3recallednotrecog</b></td><td>> 1</td><td>.1</td><td>.64</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.54</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.45</td><td>[EMPTY_CELL]</td></tr><tr><td><b>VLMT number of times the first word was recalled in trials 1 to 5</b></td><td>< 5</td><td>.1</td><td>.36</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.31</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.27</td><td>[EMPTY_CELL]</td></tr><tr><td><b>VLMT number of times the last word was recalled in trials 1 to 5</b></td><td>< 4</td><td>.1</td><td>.57</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.51</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.44</td><td>[EMPTY_CELL]</td></tr><tr><td><b>FIT recall</b></td><td>< 9</td><td>.1</td><td>.64</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.56</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.48</td><td>[EMPTY_CELL]</td></tr><tr><td><b>FIT recognition</b></td><td>< 12</td><td>.1</td><td>.68</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.59</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.50</td><td>[EMPTY_CELL]</td></tr><tr><td><b>FIT combination score</b></td><td>< 22</td><td>.1</td><td>.55</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.48</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.41</td><td>[EMPTY_CELL]</td></tr><tr><td><b>BSV-STM correct responses</b></td><td>< 84</td><td>.1</td><td>.34</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.28</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.23</td><td>[EMPTY_CELL]</td></tr><tr><td><b>BSV-STM RT</b></td><td>> 774</td><td>.1</td><td>.48</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.40</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.33</td><td>[EMPTY_CELL]</td></tr><tr><td><b>VLMT 1</b></td><td>< 57</td><td>.1</td><td>.67</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.58</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.48</td><td>[EMPTY_CELL]</td></tr><tr><td><b>COMB 1</b></td><td>< 58</td><td>.1</td><td>.67</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.2</td><td>.58</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.3</td><td>.48</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [4, 5, 39, 14]}, {\"cell\": \"<b>Cut-off</b>\", \"bbox\": [337, 5, 366, 14]}, {\"cell\": \"<b>Base rate</b>\", \"bbox\": [382, 5, 420, 14]}, {\"cell\": \"<b>NPP</b>\", \"bbox\": [439, 5, 459, 14]}, {\"cell\": \"<b>PPP</b>\", \"bbox\": [472, 5, 490, 14]}, {\"cell\": \"<b>Trial 1</b>\", \"bbox\": [4, 27, 32, 36]}, {\"cell\": \"< 6\", \"bbox\": [337, 27, 350, 35]}, {\"cell\": \".1\", \"bbox\": [382, 27, 390, 35]}, {\"cell\": \".50\", \"bbox\": [439, 27, 451, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 27, 484, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 37, 390, 45]}, {\"cell\": \".44\", \"bbox\": [439, 37, 451, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 37, 484, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 47, 390, 55]}, {\"cell\": \".38\", \"bbox\": [439, 47, 451, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 47, 484, 55]}, {\"cell\": \"<b>Trial 5</b>\", \"bbox\": [4, 58, 32, 67]}, {\"cell\": \"< 10\", \"bbox\": [337, 58, 354, 65]}, {\"cell\": \".1\", \"bbox\": [382, 58, 390, 65]}, {\"cell\": \".60\", \"bbox\": [439, 58, 451, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 58, 484, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 68, 390, 76]}, {\"cell\": \".52\", \"bbox\": [439, 68, 451, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 68, 484, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 78, 390, 86]}, {\"cell\": \".44\", \"bbox\": [439, 78, 451, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 78, 484, 86]}, {\"cell\": \"<b>Trial 1-5</b>\", \"bbox\": [4, 88, 39, 98]}, {\"cell\": \"< 43\", \"bbox\": [337, 88, 354, 96]}, {\"cell\": \".1\", \"bbox\": [382, 88, 390, 96]}, {\"cell\": \".50\", \"bbox\": [439, 88, 451, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 88, 484, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 99, 390, 106]}, {\"cell\": \".43\", \"bbox\": [439, 99, 451, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 99, 484, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 109, 390, 117]}, {\"cell\": \".37\", \"bbox\": [439, 109, 451, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 109, 484, 117]}, {\"cell\": \"<b>Interference list</b>\", \"bbox\": [4, 119, 68, 129]}, {\"cell\": \"< 5\", \"bbox\": [337, 119, 350, 127]}, {\"cell\": \".1\", \"bbox\": [382, 119, 390, 127]}, {\"cell\": \".68\", \"bbox\": [439, 119, 451, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 119, 484, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 129, 390, 137]}, {\"cell\": \".59\", \"bbox\": [439, 129, 451, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 129, 484, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 140, 390, 147]}, {\"cell\": \".50\", \"bbox\": [439, 140, 451, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 140, 484, 147]}, {\"cell\": \"<b>Trial 6</b>\", \"bbox\": [4, 150, 32, 159]}, {\"cell\": \"< 7\", \"bbox\": [337, 150, 350, 158]}, {\"cell\": \".1\", \"bbox\": [382, 150, 390, 158]}, {\"cell\": \".65\", \"bbox\": [439, 150, 451, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 150, 484, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 160, 390, 168]}, {\"cell\": \".56\", \"bbox\": [439, 160, 451, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 160, 484, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 170, 390, 178]}, {\"cell\": \".48\", \"bbox\": [439, 170, 451, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 170, 484, 178]}, {\"cell\": \"<b>Trial 7</b>\", \"bbox\": [4, 181, 32, 190]}, {\"cell\": \"< 7\", \"bbox\": [337, 181, 350, 188]}, {\"cell\": \".1\", \"bbox\": [382, 181, 390, 188]}, {\"cell\": \".64\", \"bbox\": [439, 181, 451, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 181, 484, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 191, 390, 199]}, {\"cell\": \".55\", \"bbox\": [439, 191, 451, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 191, 484, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 201, 390, 209]}, {\"cell\": \".46\", \"bbox\": [439, 201, 451, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 201, 484, 209]}, {\"cell\": \"<b>Trial 6-5</b>\", \"bbox\": [4, 211, 39, 221]}, {\"cell\": \"< 2\", \"bbox\": [337, 211, 350, 219]}, {\"cell\": \".1\", \"bbox\": [382, 211, 390, 219]}, {\"cell\": \".80\", \"bbox\": [439, 211, 451, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 211, 484, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 222, 390, 229]}, {\"cell\": \".71\", \"bbox\": [439, 222, 451, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 222, 484, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 232, 390, 240]}, {\"cell\": \".61\", \"bbox\": [439, 232, 451, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 232, 484, 240]}, {\"cell\": \"<b>Trial 7-5</b>\", \"bbox\": [4, 242, 39, 252]}, {\"cell\": \"< 2\", \"bbox\": [337, 242, 350, 250]}, {\"cell\": \".1\", \"bbox\": [382, 242, 390, 250]}, {\"cell\": \".59\", \"bbox\": [439, 242, 451, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 242, 484, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 252, 390, 260]}, {\"cell\": \".52\", \"bbox\": [439, 252, 451, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 252, 484, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 263, 390, 270]}, {\"cell\": \".45\", \"bbox\": [439, 263, 451, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 263, 484, 270]}, {\"cell\": \"<b>Recognition</b>\", \"bbox\": [4, 273, 52, 282]}, {\"cell\": \"< 12\", \"bbox\": [337, 273, 354, 281]}, {\"cell\": \".1\", \"bbox\": [382, 273, 390, 281]}, {\"cell\": \".64\", \"bbox\": [439, 273, 451, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 273, 484, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 283, 390, 291]}, {\"cell\": \".55\", \"bbox\": [439, 283, 451, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 283, 484, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 293, 390, 301]}, {\"cell\": \".47\", \"bbox\": [439, 293, 451, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 293, 484, 301]}, {\"cell\": \"<b>Corrected recognition score</b>\", \"bbox\": [4, 304, 116, 313]}, {\"cell\": \"< 11\", \"bbox\": [337, 304, 354, 311]}, {\"cell\": \".1\", \"bbox\": [382, 304, 390, 311]}, {\"cell\": \".15\", \"bbox\": [439, 304, 451, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 304, 484, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 314, 390, 322]}, {\"cell\": \".13\", \"bbox\": [439, 314, 451, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 314, 484, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 324, 390, 332]}, {\"cell\": \".12\", \"bbox\": [439, 324, 451, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 324, 484, 332]}, {\"cell\": \"<b>3recallednotrecog</b>\", \"bbox\": [4, 334, 76, 344]}, {\"cell\": \"> 1\", \"bbox\": [337, 334, 350, 342]}, {\"cell\": \".1\", \"bbox\": [382, 334, 390, 342]}, {\"cell\": \".64\", \"bbox\": [439, 334, 451, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 334, 484, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 345, 390, 352]}, {\"cell\": \".54\", \"bbox\": [439, 345, 451, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 345, 484, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 355, 390, 363]}, {\"cell\": \".45\", \"bbox\": [439, 355, 451, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 355, 484, 363]}, {\"cell\": \"<b>VLMT number of times the first word was recalled in trials 1 to 5</b>\", \"bbox\": [4, 365, 256, 375]}, {\"cell\": \"< 5\", \"bbox\": [337, 365, 350, 373]}, {\"cell\": \".1\", \"bbox\": [382, 365, 390, 373]}, {\"cell\": \".36\", \"bbox\": [439, 365, 451, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 365, 484, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 375, 390, 383]}, {\"cell\": \".31\", \"bbox\": [439, 375, 451, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 375, 484, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 386, 390, 393]}, {\"cell\": \".27\", \"bbox\": [439, 386, 451, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 386, 484, 393]}, {\"cell\": \"<b>VLMT number of times the last word was recalled in trials 1 to 5</b>\", \"bbox\": [4, 396, 254, 405]}, {\"cell\": \"< 4\", \"bbox\": [337, 396, 350, 404]}, {\"cell\": \".1\", \"bbox\": [382, 396, 390, 404]}, {\"cell\": \".57\", \"bbox\": [439, 396, 451, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 396, 484, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 406, 390, 414]}, {\"cell\": \".51\", \"bbox\": [439, 406, 451, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 406, 484, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 416, 390, 424]}, {\"cell\": \".44\", \"bbox\": [439, 416, 451, 424]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 416, 484, 424]}, {\"cell\": \"<b>FIT recall</b>\", \"bbox\": [4, 427, 44, 436]}, {\"cell\": \"< 9\", \"bbox\": [337, 427, 350, 434]}, {\"cell\": \".1\", \"bbox\": [382, 427, 390, 434]}, {\"cell\": \".64\", \"bbox\": [439, 427, 451, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 427, 484, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 437, 390, 445]}, {\"cell\": \".56\", \"bbox\": [439, 437, 451, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 437, 484, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 447, 390, 455]}, {\"cell\": \".48\", \"bbox\": [439, 447, 451, 455]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 447, 484, 455]}, {\"cell\": \"<b>FIT recognition</b>\", \"bbox\": [4, 457, 66, 467]}, {\"cell\": \"< 12\", \"bbox\": [337, 457, 354, 465]}, {\"cell\": \".1\", \"bbox\": [382, 457, 390, 465]}, {\"cell\": \".68\", \"bbox\": [439, 457, 451, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 457, 484, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 468, 390, 475]}, {\"cell\": \".59\", \"bbox\": [439, 468, 451, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 468, 484, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 478, 390, 486]}, {\"cell\": \".50\", \"bbox\": [439, 478, 451, 486]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 478, 484, 486]}, {\"cell\": \"<b>FIT combination score</b>\", \"bbox\": [4, 488, 94, 498]}, {\"cell\": \"< 22\", \"bbox\": [337, 488, 354, 496]}, {\"cell\": \".1\", \"bbox\": [382, 488, 390, 496]}, {\"cell\": \".55\", \"bbox\": [439, 488, 451, 496]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 488, 484, 496]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 498, 390, 506]}, {\"cell\": \".48\", \"bbox\": [439, 498, 451, 506]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 498, 484, 506]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 509, 390, 516]}, {\"cell\": \".41\", \"bbox\": [439, 509, 451, 516]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 509, 484, 516]}, {\"cell\": \"<b>BSV-STM correct responses</b>\", \"bbox\": [4, 519, 115, 528]}, {\"cell\": \"< 84\", \"bbox\": [337, 519, 354, 527]}, {\"cell\": \".1\", \"bbox\": [382, 519, 390, 527]}, {\"cell\": \".34\", \"bbox\": [439, 519, 451, 527]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 519, 484, 527]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 529, 390, 537]}, {\"cell\": \".28\", \"bbox\": [439, 529, 451, 537]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 529, 484, 537]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 539, 390, 547]}, {\"cell\": \".23\", \"bbox\": [439, 539, 451, 547]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 539, 484, 547]}, {\"cell\": \"<b>BSV-STM RT</b>\", \"bbox\": [4, 550, 58, 559]}, {\"cell\": \"> 774\", \"bbox\": [337, 550, 358, 557]}, {\"cell\": \".1\", \"bbox\": [382, 550, 390, 557]}, {\"cell\": \".48\", \"bbox\": [439, 550, 451, 557]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 550, 484, 557]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 560, 390, 568]}, {\"cell\": \".40\", \"bbox\": [439, 560, 451, 568]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 560, 484, 568]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 570, 390, 578]}, {\"cell\": \".33\", \"bbox\": [439, 570, 451, 578]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 570, 484, 578]}, {\"cell\": \"<b>VLMT 1</b>\", \"bbox\": [4, 580, 37, 590]}, {\"cell\": \"< 57\", \"bbox\": [337, 580, 354, 588]}, {\"cell\": \".1\", \"bbox\": [382, 580, 390, 588]}, {\"cell\": \".67\", \"bbox\": [439, 580, 451, 588]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 580, 484, 588]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 591, 390, 598]}, {\"cell\": \".58\", \"bbox\": [439, 591, 451, 598]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 591, 484, 598]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 601, 390, 609]}, {\"cell\": \".48\", \"bbox\": [439, 601, 451, 609]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 601, 484, 609]}, {\"cell\": \"<b>COMB 1</b>\", \"bbox\": [4, 611, 40, 621]}, {\"cell\": \"< 58\", \"bbox\": [337, 611, 354, 619]}, {\"cell\": \".1\", \"bbox\": [382, 611, 390, 619]}, {\"cell\": \".67\", \"bbox\": [439, 611, 451, 619]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 611, 484, 619]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".2\", \"bbox\": [382, 621, 390, 629]}, {\"cell\": \".58\", \"bbox\": [439, 621, 451, 629]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 621, 484, 629]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".3\", \"bbox\": [382, 632, 390, 639]}, {\"cell\": \".48\", \"bbox\": [439, 632, 451, 639]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 632, 484, 639]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2569062_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}217{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Assessment</b></td><td colspan=\\\"2\\\"><b>Baseline mean score ± SD</b></td><td colspan=\\\"2\\\"><b>Final assessment LS mean score ± SE</b></td><td colspan=\\\"3\\\"><b>Placebo-adjusted LS mean change from baseline with pregabalin<sup>a</sup></b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Placebo</b></td><td><b>Pregabalin</b></td><td><b>Placebo</b></td><td><b>Pregabalin</b></td><td><b>Change</b></td><td><b>95% CI</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td>FIQ score<sup>b</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Morning tiredness</td><td>[EMPTY_CELL]</td><td>6.8 ± 2.2</td><td>5.73 ± 0.15</td><td>5.13 ± 0.15</td><td>-0.59</td><td>-1.01, -0.18</td><td>0.0023*</td></tr><tr><td>Feeling good</td><td>[EMPTY_CELL]</td><td>6.8 ± 2.6</td><td>5.94 ± 0.17</td><td>5.30 ± 0.17</td><td>-0.63</td><td>-1.12, -0.15</td><td>0.0052*</td></tr><tr><td>Fatigue</td><td>[EMPTY_CELL]</td><td>7.0 ± 1.9</td><td>5.94 ± 0.14</td><td>5.45 ± 0.14</td><td>-0.49</td><td>-0.89, -0.10</td><td>0.0075*</td></tr><tr><td>Pain</td><td>[EMPTY_CELL]</td><td>6.5 ± 1.6</td><td>5.36 ± 0.15</td><td>4.95 ± 0.15</td><td>-0.41</td><td>-0.81, 0.00</td><td>0.0238*</td></tr><tr><td>Physical functioning</td><td>[EMPTY_CELL]</td><td>3.3 ± 2.4</td><td>3.03 ± 0.11</td><td>2.74 ± 0.11</td><td>-0.28</td><td>-0.59, 0.03</td><td>0.0376</td></tr><tr><td>Housework</td><td>[EMPTY_CELL]</td><td>5.7 ± 2.5</td><td>4.61 ± 0.15</td><td>4.30 ± 0.15</td><td>-0.31</td><td>-0.74, 0.11</td><td>0.0729</td></tr><tr><td>Anxiety</td><td>[EMPTY_CELL]</td><td>4.6 ± 2.6</td><td>3.92 ± 0.16</td><td>3.64 ± 0.16</td><td>-0.28</td><td>-0.72, 0.15</td><td>0.1011</td></tr><tr><td>Stiffness</td><td>[EMPTY_CELL]</td><td>6.0 ± 2.5</td><td>5.05 ± 0.15</td><td>4.90 ± 0.15</td><td>-0.14</td><td>-0.57, 0.29</td><td>0.2568</td></tr><tr><td>Depression</td><td>[EMPTY_CELL]</td><td>3.9 ± 2.6</td><td>3.38 ± 0.14</td><td>3.34 ± 0.14</td><td>-0.04</td><td>-0.44, 0.35</td><td>0.4165</td></tr><tr><td>Missing work</td><td>[EMPTY_CELL]</td><td>2.2 ± 3.1</td><td>1.89 ± 0.15</td><td>1.87 ± 0.15</td><td>-0.01</td><td>-0.42, 0.40</td><td>0.4768</td></tr><tr><td>Total FIQ score</td><td>[EMPTY_CELL]</td><td>52.7 ± 15.3</td><td>44.89 ± 1.08</td><td>41.56 ± 1.07</td><td>-3.33</td><td>-6.31, -0.35</td><td>0.0144*</td></tr><tr><td>SF-36 health survey<sup>c</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Physical functioning</td><td>[EMPTY_CELL]</td><td>63.4 ± 20.8</td><td>68.44 ± 0.93</td><td>72.73 ± 0.93</td><td>4.29</td><td>1.70, 6.88</td><td>0.0006*</td></tr><tr><td>Vitality</td><td>[EMPTY_CELL]</td><td>36.2 ± 20.5</td><td>42.01 ± 1.22</td><td>46.43 ± 1.21</td><td>4.42</td><td>1.04, 7.80</td><td>0.0052*</td></tr><tr><td>Mental health</td><td>[EMPTY_CELL]</td><td>60.1 ± 20.3</td><td>64.47 ± 0.98</td><td>67.11 ± 0.98</td><td>2.64</td><td>-0.08, 5.37</td><td>0.0287*</td></tr><tr><td>Bodily pain</td><td>[EMPTY_CELL]</td><td>33.0 ± 14.0</td><td>43.27 ± 1.06</td><td>45.42 ± 1.06</td><td>2.15</td><td>-0.81, 5.10</td><td>0.0770</td></tr><tr><td>General health perception</td><td>[EMPTY_CELL]</td><td>41.4 ± 16.0</td><td>44.82 ± 0.85</td><td>46.65 ± 0.85</td><td>1.83</td><td>-0.54, 4.19</td><td>0.0648</td></tr><tr><td>Physical role limitations</td><td>[EMPTY_CELL]</td><td>52.7 ± 27.9</td><td>60.90 ± 1.30</td><td>62.58 ± 1.30</td><td>1.68</td><td>-1.93, 5.29</td><td>0.1805</td></tr><tr><td>Social functioning</td><td>[EMPTY_CELL]</td><td>61.9 ± 28.2</td><td>68.51 ± 1.38</td><td>70.10 ± 1.37</td><td>1.59</td><td>-2.23, 5.41</td><td>0.2068</td></tr><tr><td>Emotional role limitations</td><td>[EMPTY_CELL]</td><td>67.2 ± 27.2</td><td>72.99 ± 1.36</td><td>72.76 ± 1.35</td><td>-0.23</td><td>-4.00, 3.54</td><td>0.5480</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Assessment</b>\", \"bbox\": [1, 4, 43, 13]}, {\"cell\": \"<b>Baseline mean score ± SD</b>\", \"bbox\": [116, 4, 168, 22]}, {\"cell\": \"<b>Final assessment LS mean score ± SE</b>\", \"bbox\": [203, 4, 296, 22]}, {\"cell\": \"<b>Placebo-adjusted LS mean change from baseline with pregabalin<sup>a</sup></b>\", \"bbox\": [309, 4, 481, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Placebo</b>\", \"bbox\": [101, 26, 130, 36]}, {\"cell\": \"<b>Pregabalin</b>\", \"bbox\": [150, 26, 189, 36]}, {\"cell\": \"<b>Placebo</b>\", \"bbox\": [208, 26, 238, 36]}, {\"cell\": \"<b>Pregabalin</b>\", \"bbox\": [257, 26, 296, 36]}, {\"cell\": \"<b>Change</b>\", \"bbox\": [319, 26, 347, 36]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [382, 26, 409, 36]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [444, 26, 471, 36]}, {\"cell\": \"FIQ score<sup>b</sup>\", \"bbox\": [1, 38, 36, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Morning tiredness\", \"bbox\": [1, 51, 61, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 51, 130, 61]}, {\"cell\": \"6.8 ± 2.2\", \"bbox\": [154, 51, 184, 61]}, {\"cell\": \"5.73 ± 0.15\", \"bbox\": [204, 51, 242, 61]}, {\"cell\": \"5.13 ± 0.15\", \"bbox\": [258, 51, 296, 61]}, {\"cell\": \"-0.59\", \"bbox\": [324, 51, 341, 61]}, {\"cell\": \"-1.01, -0.18\", \"bbox\": [377, 51, 414, 61]}, {\"cell\": \"0.0023*\", \"bbox\": [445, 51, 470, 61]}, {\"cell\": \"Feeling good\", \"bbox\": [1, 63, 45, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 63, 130, 73]}, {\"cell\": \"6.8 ± 2.6\", \"bbox\": [154, 63, 184, 73]}, {\"cell\": \"5.94 ± 0.17\", \"bbox\": [204, 63, 242, 73]}, {\"cell\": \"5.30 ± 0.17\", \"bbox\": [258, 63, 296, 73]}, {\"cell\": \"-0.63\", \"bbox\": [324, 63, 341, 73]}, {\"cell\": \"-1.12, -0.15\", \"bbox\": [377, 63, 414, 73]}, {\"cell\": \"0.0052*\", \"bbox\": [445, 63, 470, 73]}, {\"cell\": \"Fatigue\", \"bbox\": [1, 75, 26, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 75, 130, 85]}, {\"cell\": \"7.0 ± 1.9\", \"bbox\": [154, 75, 184, 85]}, {\"cell\": \"5.94 ± 0.14\", \"bbox\": [204, 75, 242, 85]}, {\"cell\": \"5.45 ± 0.14\", \"bbox\": [258, 75, 296, 85]}, {\"cell\": \"-0.49\", \"bbox\": [324, 75, 341, 85]}, {\"cell\": \"-0.89, -0.10\", \"bbox\": [377, 75, 414, 85]}, {\"cell\": \"0.0075*\", \"bbox\": [445, 75, 470, 85]}, {\"cell\": \"Pain\", \"bbox\": [1, 87, 16, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 87, 130, 97]}, {\"cell\": \"6.5 ± 1.6\", \"bbox\": [154, 87, 184, 97]}, {\"cell\": \"5.36 ± 0.15\", \"bbox\": [204, 87, 242, 97]}, {\"cell\": \"4.95 ± 0.15\", \"bbox\": [258, 87, 296, 97]}, {\"cell\": \"-0.41\", \"bbox\": [324, 87, 341, 97]}, {\"cell\": \"-0.81, 0.00\", \"bbox\": [379, 87, 412, 97]}, {\"cell\": \"0.0238*\", \"bbox\": [445, 87, 470, 97]}, {\"cell\": \"Physical functioning\", \"bbox\": [1, 99, 67, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 99, 130, 109]}, {\"cell\": \"3.3 ± 2.4\", \"bbox\": [154, 99, 184, 109]}, {\"cell\": \"3.03 ± 0.11\", \"bbox\": [204, 99, 242, 109]}, {\"cell\": \"2.74 ± 0.11\", \"bbox\": [258, 99, 296, 109]}, {\"cell\": \"-0.28\", \"bbox\": [324, 99, 341, 109]}, {\"cell\": \"-0.59, 0.03\", \"bbox\": [379, 99, 412, 109]}, {\"cell\": \"0.0376\", \"bbox\": [446, 99, 469, 109]}, {\"cell\": \"Housework\", \"bbox\": [1, 111, 38, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 111, 130, 121]}, {\"cell\": \"5.7 ± 2.5\", \"bbox\": [154, 111, 184, 121]}, {\"cell\": \"4.61 ± 0.15\", \"bbox\": [204, 111, 242, 121]}, {\"cell\": \"4.30 ± 0.15\", \"bbox\": [258, 111, 296, 121]}, {\"cell\": \"-0.31\", \"bbox\": [324, 111, 341, 121]}, {\"cell\": \"-0.74, 0.11\", \"bbox\": [379, 111, 412, 121]}, {\"cell\": \"0.0729\", \"bbox\": [446, 111, 469, 121]}, {\"cell\": \"Anxiety\", \"bbox\": [1, 123, 26, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 123, 130, 133]}, {\"cell\": \"4.6 ± 2.6\", \"bbox\": [154, 123, 184, 133]}, {\"cell\": \"3.92 ± 0.16\", \"bbox\": [204, 123, 242, 133]}, {\"cell\": \"3.64 ± 0.16\", \"bbox\": [258, 123, 296, 133]}, {\"cell\": \"-0.28\", \"bbox\": [324, 123, 341, 133]}, {\"cell\": \"-0.72, 0.15\", \"bbox\": [379, 123, 412, 133]}, {\"cell\": \"0.1011\", \"bbox\": [446, 123, 469, 133]}, {\"cell\": \"Stiffness\", \"bbox\": [1, 135, 28, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 135, 130, 145]}, {\"cell\": \"6.0 ± 2.5\", \"bbox\": [154, 135, 184, 145]}, {\"cell\": \"5.05 ± 0.15\", \"bbox\": [204, 135, 242, 145]}, {\"cell\": \"4.90 ± 0.15\", \"bbox\": [258, 135, 296, 145]}, {\"cell\": \"-0.14\", \"bbox\": [324, 135, 341, 145]}, {\"cell\": \"-0.57, 0.29\", \"bbox\": [379, 135, 412, 145]}, {\"cell\": \"0.2568\", \"bbox\": [446, 135, 469, 145]}, {\"cell\": \"Depression\", \"bbox\": [1, 147, 38, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 147, 130, 156]}, {\"cell\": \"3.9 ± 2.6\", \"bbox\": [154, 147, 184, 156]}, {\"cell\": \"3.38 ± 0.14\", \"bbox\": [204, 147, 242, 156]}, {\"cell\": \"3.34 ± 0.14\", \"bbox\": [258, 147, 296, 156]}, {\"cell\": \"-0.04\", \"bbox\": [324, 147, 341, 156]}, {\"cell\": \"-0.44, 0.35\", \"bbox\": [379, 147, 412, 156]}, {\"cell\": \"0.4165\", \"bbox\": [446, 147, 469, 156]}, {\"cell\": \"Missing work\", \"bbox\": [1, 159, 45, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 159, 130, 168]}, {\"cell\": \"2.2 ± 3.1\", \"bbox\": [154, 159, 184, 168]}, {\"cell\": \"1.89 ± 0.15\", \"bbox\": [204, 159, 242, 168]}, {\"cell\": \"1.87 ± 0.15\", \"bbox\": [258, 159, 296, 168]}, {\"cell\": \"-0.01\", \"bbox\": [324, 159, 341, 168]}, {\"cell\": \"-0.42, 0.40\", \"bbox\": [379, 159, 412, 168]}, {\"cell\": \"0.4768\", \"bbox\": [446, 159, 469, 168]}, {\"cell\": \"Total FIQ score\", \"bbox\": [1, 171, 51, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 171, 134, 180]}, {\"cell\": \"52.7 ± 15.3\", \"bbox\": [150, 171, 188, 180]}, {\"cell\": \"44.89 ± 1.08\", \"bbox\": [202, 171, 244, 180]}, {\"cell\": \"41.56 ± 1.07\", \"bbox\": [256, 171, 297, 180]}, {\"cell\": \"-3.33\", \"bbox\": [324, 171, 341, 180]}, {\"cell\": \"-6.31, -0.35\", \"bbox\": [377, 171, 414, 180]}, {\"cell\": \"0.0144*\", \"bbox\": [445, 171, 470, 180]}, {\"cell\": \"SF-36 health survey<sup>c</sup>\", \"bbox\": [1, 182, 68, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Physical functioning\", \"bbox\": [1, 196, 67, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 196, 134, 206]}, {\"cell\": \"63.4 ± 20.8\", \"bbox\": [150, 196, 188, 206]}, {\"cell\": \"68.44 ± 0.93\", \"bbox\": [202, 196, 244, 206]}, {\"cell\": \"72.73 ± 0.93\", \"bbox\": [256, 196, 297, 206]}, {\"cell\": \"4.29\", \"bbox\": [326, 196, 340, 206]}, {\"cell\": \"1.70, 6.88\", \"bbox\": [380, 196, 411, 206]}, {\"cell\": \"0.0006*\", \"bbox\": [445, 196, 470, 206]}, {\"cell\": \"Vitality\", \"bbox\": [1, 208, 23, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 208, 134, 217]}, {\"cell\": \"36.2 ± 20.5\", \"bbox\": [150, 208, 188, 217]}, {\"cell\": \"42.01 ± 1.22\", \"bbox\": [202, 208, 244, 217]}, {\"cell\": \"46.43 ± 1.21\", \"bbox\": [256, 208, 297, 217]}, {\"cell\": \"4.42\", \"bbox\": [326, 208, 340, 217]}, {\"cell\": \"1.04, 7.80\", \"bbox\": [380, 208, 411, 217]}, {\"cell\": \"0.0052*\", \"bbox\": [445, 208, 470, 217]}, {\"cell\": \"Mental health\", \"bbox\": [1, 220, 47, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 220, 134, 229]}, {\"cell\": \"60.1 ± 20.3\", \"bbox\": [150, 220, 188, 229]}, {\"cell\": \"64.47 ± 0.98\", \"bbox\": [202, 220, 244, 229]}, {\"cell\": \"67.11 ± 0.98\", \"bbox\": [256, 220, 297, 229]}, {\"cell\": \"2.64\", \"bbox\": [326, 220, 340, 229]}, {\"cell\": \"-0.08, 5.37\", \"bbox\": [379, 220, 412, 229]}, {\"cell\": \"0.0287*\", \"bbox\": [445, 220, 470, 229]}, {\"cell\": \"Bodily pain\", \"bbox\": [1, 232, 38, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 232, 134, 241]}, {\"cell\": \"33.0 ± 14.0\", \"bbox\": [150, 232, 188, 241]}, {\"cell\": \"43.27 ± 1.06\", \"bbox\": [202, 232, 244, 241]}, {\"cell\": \"45.42 ± 1.06\", \"bbox\": [256, 232, 297, 241]}, {\"cell\": \"2.15\", \"bbox\": [326, 232, 340, 241]}, {\"cell\": \"-0.81, 5.10\", \"bbox\": [379, 232, 412, 241]}, {\"cell\": \"0.0770\", \"bbox\": [446, 232, 469, 241]}, {\"cell\": \"General health perception\", \"bbox\": [1, 244, 87, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 244, 134, 253]}, {\"cell\": \"41.4 ± 16.0\", \"bbox\": [150, 244, 188, 253]}, {\"cell\": \"44.82 ± 0.85\", \"bbox\": [202, 244, 244, 253]}, {\"cell\": \"46.65 ± 0.85\", \"bbox\": [256, 244, 297, 253]}, {\"cell\": \"1.83\", \"bbox\": [326, 244, 340, 253]}, {\"cell\": \"-0.54, 4.19\", \"bbox\": [379, 244, 412, 253]}, {\"cell\": \"0.0648\", \"bbox\": [446, 244, 469, 253]}, {\"cell\": \"Physical role limitations\", \"bbox\": [1, 256, 78, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 256, 134, 265]}, {\"cell\": \"52.7 ± 27.9\", \"bbox\": [150, 256, 188, 265]}, {\"cell\": \"60.90 ± 1.30\", \"bbox\": [202, 256, 244, 265]}, {\"cell\": \"62.58 ± 1.30\", \"bbox\": [256, 256, 297, 265]}, {\"cell\": \"1.68\", \"bbox\": [326, 256, 340, 265]}, {\"cell\": \"-1.93, 5.29\", \"bbox\": [379, 256, 412, 265]}, {\"cell\": \"0.1805\", \"bbox\": [446, 256, 469, 265]}, {\"cell\": \"Social functioning\", \"bbox\": [1, 268, 60, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 268, 134, 277]}, {\"cell\": \"61.9 ± 28.2\", \"bbox\": [150, 268, 188, 277]}, {\"cell\": \"68.51 ± 1.38\", \"bbox\": [202, 268, 244, 277]}, {\"cell\": \"70.10 ± 1.37\", \"bbox\": [256, 268, 297, 277]}, {\"cell\": \"1.59\", \"bbox\": [326, 268, 340, 277]}, {\"cell\": \"-2.23, 5.41\", \"bbox\": [379, 268, 412, 277]}, {\"cell\": \"0.2068\", \"bbox\": [446, 268, 469, 277]}, {\"cell\": \"Emotional role limitations\", \"bbox\": [1, 280, 85, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 280, 134, 289]}, {\"cell\": \"67.2 ± 27.2\", \"bbox\": [150, 280, 188, 289]}, {\"cell\": \"72.99 ± 1.36\", \"bbox\": [202, 280, 244, 289]}, {\"cell\": \"72.76 ± 1.35\", \"bbox\": [256, 280, 297, 289]}, {\"cell\": \"-0.23\", \"bbox\": [324, 280, 341, 289]}, {\"cell\": \"-4.00, 3.54\", \"bbox\": [379, 280, 412, 289]}, {\"cell\": \"0.5480\", \"bbox\": [446, 280, 469, 289]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3580529_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}218{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Demographics</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>149 (79.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>54.9 (10.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>137 (73.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>38 (20.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>53.6 (20.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>40.3 (11.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>61.6 (19.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>61.9 (14.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>11.4 (4.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>14.7 (6.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>40.5 (21.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>42.8 (24.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>36.1 (16.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>40.4 (16.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>39.0 (19.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>57.2 (26.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>54.1 (26.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>56.8 (19.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>33.8 (7.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>40.5 (11.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.49 (0.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>28.3 (10.1)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Demographics</b>\", \"bbox\": [1, 4, 53, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 46, 27]}, {\"cell\": \"149 (79.7)\", \"bbox\": [202, 17, 235, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 53, 41]}, {\"cell\": \"54.9 (10.8)\", \"bbox\": [202, 31, 236, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 55, 55]}, {\"cell\": \"137 (73.3)\", \"bbox\": [202, 45, 235, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 63, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 90, 83]}, {\"cell\": \"38 (20.3)\", \"bbox\": [202, 73, 231, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 97, 97]}, {\"cell\": \"53.6 (20.8)\", \"bbox\": [202, 87, 236, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 55, 111]}, {\"cell\": \"40.3 (11.9)\", \"bbox\": [202, 101, 236, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 172, 125]}, {\"cell\": \"61.6 (19.1)\", \"bbox\": [202, 115, 236, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 180, 139]}, {\"cell\": \"61.9 (14.9)\", \"bbox\": [202, 129, 236, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 102, 153]}, {\"cell\": \"11.4 (4.8)\", \"bbox\": [202, 143, 233, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 99, 167]}, {\"cell\": \"14.7 (6.2)\", \"bbox\": [202, 157, 233, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 45, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 124, 195]}, {\"cell\": \"40.5 (21.7)\", \"bbox\": [202, 185, 236, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 101, 209]}, {\"cell\": \"42.8 (24.3)\", \"bbox\": [202, 199, 236, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 95, 223]}, {\"cell\": \"36.1 (16.9)\", \"bbox\": [202, 213, 236, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 106, 237]}, {\"cell\": \"40.4 (16.6)\", \"bbox\": [202, 227, 236, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 80, 251]}, {\"cell\": \"39.0 (19.7)\", \"bbox\": [202, 241, 236, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 117, 265]}, {\"cell\": \"57.2 (26.1)\", \"bbox\": [202, 255, 236, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 108, 279]}, {\"cell\": \"54.1 (26.7)\", \"bbox\": [202, 269, 236, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 104, 293]}, {\"cell\": \"56.8 (19.4)\", \"bbox\": [202, 283, 236, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 116, 307]}, {\"cell\": \"33.8 (7.5)\", \"bbox\": [202, 297, 233, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 311, 113, 321]}, {\"cell\": \"40.5 (11.0)\", \"bbox\": [202, 311, 236, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 64, 335]}, {\"cell\": \"1.49 (0.6)\", \"bbox\": [202, 325, 233, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 84, 349]}, {\"cell\": \"28.3 (10.1)\", \"bbox\": [202, 339, 236, 349]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4016279_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}219{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td><b>Patients with post-ERCP pancreatitis (N = 21 )</b></td><td><b>Patients without post-ERCP pancreatitis (N = 145)</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Female</td><td>17</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.14</td></tr><tr><td>Male</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (years)</td><td>48.3 ± 16.2</td><td>[EMPTY_CELL]</td><td>0.21</td></tr><tr><td> <50 years</td><td>11</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.44</td></tr><tr><td> >50 years</td><td>10</td><td>[EMPTY_CELL]</td></tr><tr><td>Ambulatory ERCP</td><td>10</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.51</td></tr><tr><td>Hospitalized ERCP</td><td>11</td><td>[EMPTY_CELL]</td></tr><tr><td>Dilated bile duct by imaging studies pre-ERCP</td><td>14</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.58</td></tr><tr><td>Without dilation bile duct by imaging studies pre-ERCP</td><td>7</td><td>[EMPTY_CELL]</td></tr><tr><td>Diameter of the bile duct by ERCP (mm)</td><td>9.0 ± 2.1</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>With previous cholecystectomy</td><td>13</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.12</td></tr><tr><td>Without previous cholecystectomy</td><td>8</td><td>[EMPTY_CELL]</td></tr><tr><td>Elevated pre-ERCP bilirubin</td><td>18</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.12</td></tr><tr><td>Normal pre-ERCP bilirubin</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of attempts to cannulate the biliary tract</td><td>9.1 ± 2.7</td><td>[EMPTY_CELL]</td><td>0.02</td></tr><tr><td>Difficult cannulation</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <8 attempts</td><td>5</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.005</td></tr><tr><td> >8 attempts</td><td>16</td><td>[EMPTY_CELL]</td></tr><tr><td>Precut (access) sphincterotomy</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>17</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.01</td></tr><tr><td> No</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>Biliary sphincterotomy</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>11</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.54</td></tr><tr><td> No</td><td>10</td><td>[EMPTY_CELL]</td></tr><tr><td>Cannulation time of the bile duct (min)</td><td>8.7 ± 2.8</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>ERCP Length (min)</td><td>30.0 ± 3.7</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>Pancreatography</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>17</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.002</td></tr><tr><td> No</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of passes of the guide in the Wirsung duct.</td><td>2.3 ± 0.76</td><td>[EMPTY_CELL]</td><td>0.000</td></tr><tr><td>Number of injections into the Wirsung duct.</td><td>2.0 ± 0.72</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>Pancreatography extension</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Partial</td><td>2</td><td>[EMPTY_CELL]</td><td rowspan=\\\"3\\\">0.39</td></tr><tr><td> Full</td><td>13</td><td>[EMPTY_CELL]</td></tr><tr><td> Acinarization</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td> Serum amylase at 2 hours post-ERCP (U/L)</td><td>1163.5 ± 999.6</td><td>[EMPTY_CELL]</td><td>0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"<b>Patients with post-ERCP pancreatitis (N = 21 )</b>\", \"bbox\": [219, 4, 297, 22]}, {\"cell\": \"<b>Patients without post-ERCP pancreatitis (N = 145)</b>\", \"bbox\": [337, 4, 426, 22]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [466, 4, 472, 13]}, {\"cell\": \"Female\", \"bbox\": [1, 26, 26, 36]}, {\"cell\": \"17\", \"bbox\": [219, 26, 229, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 26, 347, 36]}, {\"cell\": \"0.14\", \"bbox\": [466, 26, 481, 36]}, {\"cell\": \"Male\", \"bbox\": [1, 40, 18, 50]}, {\"cell\": \"4\", \"bbox\": [219, 40, 225, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 40, 347, 50]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 54, 38, 64]}, {\"cell\": \"48.3 ± 16.2\", \"bbox\": [219, 54, 255, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 54, 373, 64]}, {\"cell\": \"0.21\", \"bbox\": [466, 54, 481, 64]}, {\"cell\": \" <50 years\", \"bbox\": [8, 68, 41, 78]}, {\"cell\": \"11\", \"bbox\": [219, 68, 229, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 68, 347, 78]}, {\"cell\": \"0.44\", \"bbox\": [466, 68, 481, 78]}, {\"cell\": \" >50 years\", \"bbox\": [8, 82, 41, 92]}, {\"cell\": \"10\", \"bbox\": [219, 82, 229, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 82, 347, 92]}, {\"cell\": \"Ambulatory ERCP\", \"bbox\": [1, 96, 58, 106]}, {\"cell\": \"10\", \"bbox\": [219, 96, 229, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 96, 347, 106]}, {\"cell\": \"0.51\", \"bbox\": [466, 96, 481, 106]}, {\"cell\": \"Hospitalized ERCP\", \"bbox\": [1, 110, 60, 120]}, {\"cell\": \"11\", \"bbox\": [219, 110, 229, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 110, 347, 120]}, {\"cell\": \"Dilated bile duct by imaging studies pre-ERCP\", \"bbox\": [1, 124, 151, 134]}, {\"cell\": \"14\", \"bbox\": [219, 124, 229, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 124, 351, 134]}, {\"cell\": \"0.58\", \"bbox\": [466, 124, 481, 134]}, {\"cell\": \"Without dilation bile duct by imaging studies pre-ERCP\", \"bbox\": [1, 138, 180, 148]}, {\"cell\": \"7\", \"bbox\": [219, 138, 225, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 138, 347, 148]}, {\"cell\": \"Diameter of the bile duct by ERCP (mm)\", \"bbox\": [1, 152, 132, 162]}, {\"cell\": \"9.0 ± 2.1\", \"bbox\": [219, 152, 247, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 152, 369, 162]}, {\"cell\": \"0.001\", \"bbox\": [466, 152, 484, 162]}, {\"cell\": \"With previous cholecystectomy\", \"bbox\": [1, 166, 103, 176]}, {\"cell\": \"13\", \"bbox\": [219, 166, 229, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 166, 347, 176]}, {\"cell\": \"0.12\", \"bbox\": [466, 166, 481, 176]}, {\"cell\": \"Without previous cholecystectomy\", \"bbox\": [1, 180, 114, 190]}, {\"cell\": \"8\", \"bbox\": [219, 180, 225, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 180, 347, 190]}, {\"cell\": \"Elevated pre-ERCP bilirubin\", \"bbox\": [1, 194, 89, 204]}, {\"cell\": \"18\", \"bbox\": [219, 194, 229, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 194, 347, 204]}, {\"cell\": \"0.12\", \"bbox\": [466, 194, 481, 204]}, {\"cell\": \"Normal pre-ERCP bilirubin\", \"bbox\": [1, 208, 86, 218]}, {\"cell\": \"3\", \"bbox\": [219, 208, 225, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 208, 347, 218]}, {\"cell\": \"Number of attempts to cannulate the biliary tract\", \"bbox\": [1, 222, 161, 232]}, {\"cell\": \"9.1 ± 2.7\", \"bbox\": [219, 222, 247, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 222, 365, 232]}, {\"cell\": \"0.02\", \"bbox\": [466, 222, 481, 232]}, {\"cell\": \"Difficult cannulation\", \"bbox\": [1, 236, 67, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <8 attempts\", \"bbox\": [8, 250, 50, 260]}, {\"cell\": \"5\", \"bbox\": [219, 250, 225, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 250, 347, 260]}, {\"cell\": \"0.005\", \"bbox\": [466, 250, 484, 260]}, {\"cell\": \" >8 attempts\", \"bbox\": [8, 264, 50, 274]}, {\"cell\": \"16\", \"bbox\": [219, 264, 229, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 264, 347, 274]}, {\"cell\": \"Precut (access) sphincterotomy\", \"bbox\": [1, 278, 102, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 292, 21, 302]}, {\"cell\": \"17\", \"bbox\": [219, 292, 229, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 292, 347, 302]}, {\"cell\": \"0.01\", \"bbox\": [466, 292, 481, 302]}, {\"cell\": \" No\", \"bbox\": [8, 306, 20, 316]}, {\"cell\": \"4\", \"bbox\": [219, 306, 225, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 306, 347, 316]}, {\"cell\": \"Biliary sphincterotomy\", \"bbox\": [1, 320, 74, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 334, 21, 344]}, {\"cell\": \"11\", \"bbox\": [219, 334, 229, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 334, 347, 344]}, {\"cell\": \"0.54\", \"bbox\": [466, 334, 481, 344]}, {\"cell\": \" No\", \"bbox\": [8, 348, 20, 358]}, {\"cell\": \"10\", \"bbox\": [219, 348, 229, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 348, 347, 358]}, {\"cell\": \"Cannulation time of the bile duct (min)\", \"bbox\": [1, 362, 129, 372]}, {\"cell\": \"8.7 ± 2.8\", \"bbox\": [219, 362, 247, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 362, 365, 372]}, {\"cell\": \"0.001\", \"bbox\": [466, 362, 484, 372]}, {\"cell\": \"ERCP Length (min)\", \"bbox\": [1, 376, 63, 386]}, {\"cell\": \"30.0 ± 3.7\", \"bbox\": [219, 376, 251, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 376, 369, 386]}, {\"cell\": \"0.001\", \"bbox\": [466, 376, 484, 386]}, {\"cell\": \"Pancreatography\", \"bbox\": [1, 390, 56, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 404, 21, 414]}, {\"cell\": \"17\", \"bbox\": [219, 404, 229, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 404, 347, 414]}, {\"cell\": \"0.002\", \"bbox\": [466, 404, 484, 414]}, {\"cell\": \" No\", \"bbox\": [8, 418, 20, 428]}, {\"cell\": \"4\", \"bbox\": [219, 418, 225, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 418, 347, 428]}, {\"cell\": \"Number of passes of the guide in the Wirsung duct.\", \"bbox\": [1, 432, 170, 442]}, {\"cell\": \"2.3 ± 0.76\", \"bbox\": [219, 432, 251, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 432, 373, 442]}, {\"cell\": \"0.000\", \"bbox\": [466, 432, 484, 442]}, {\"cell\": \"Number of injections into the Wirsung duct.\", \"bbox\": [1, 446, 145, 456]}, {\"cell\": \"2.0 ± 0.72\", \"bbox\": [219, 446, 251, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 446, 373, 456]}, {\"cell\": \"0.001\", \"bbox\": [466, 446, 484, 456]}, {\"cell\": \"Pancreatography extension\", \"bbox\": [1, 460, 90, 470]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Partial\", \"bbox\": [8, 474, 30, 484]}, {\"cell\": \"2\", \"bbox\": [219, 474, 225, 484]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 474, 343, 484]}, {\"cell\": \"0.39\", \"bbox\": [466, 474, 481, 484]}, {\"cell\": \" Full\", \"bbox\": [8, 488, 22, 498]}, {\"cell\": \"13\", \"bbox\": [219, 488, 229, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 488, 347, 498]}, {\"cell\": \" Acinarization\", \"bbox\": [8, 502, 51, 512]}, {\"cell\": \"2\", \"bbox\": [219, 502, 225, 512]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 502, 343, 512]}, {\"cell\": \" Serum amylase at 2 hours post-ERCP (U/L)\", \"bbox\": [8, 516, 146, 526]}, {\"cell\": \"1163.5 ± 999.6\", \"bbox\": [219, 516, 266, 526]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 516, 380, 526]}, {\"cell\": \"0.001\", \"bbox\": [466, 516, 484, 526]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4508969_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}220{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Provisional taxon</b></td><td><b>Bayesian clustering (see Figure 1)</b></td><td><b>Phylogeny (see Figure 2)</b></td><td><b>Traditional species</b></td><td><b>General comments/notes</b></td></tr></thead><tbody><tr><td>‘X. aff. <i>lineola</i>’</td><td>‘D’</td><td>‘Clade D-1’</td><td>[EMPTY_CELL]</td><td>Non-isidiate forms expressing the salazinic acid chemosyndrome, know from three specimens collected in montane habitats in Utah (Duchesne & Washington Counties), USA. </td></tr><tr><td>‘<i>X. isidiomontana</i>’*</td><td>‘D’</td><td>‘Clade D-2’</td><td>[EMPTY_CELL]</td><td>Lineage dominated by the chemically polymorphic (norstictic, salazinic, and stictic acid chemosyndromes), isidiate forms in continental habitats in the Intermountain Western USA, east to the western Dakotas, USA. </td></tr><tr><td>‘<i>X. subcumberlandia</i>’</td><td>‘E-1a’</td><td>‘Custer E-1a’</td><td>[EMPTY_CELL]</td><td>Non-isidiate forms expressing the stictic acid chemosyndrome, from continental habitats in the Intermountain Western USA.</td></tr><tr><td>‘<i>X. utahensis</i>’*</td><td>‘E-1b’</td><td>‘Clade E-1b’</td><td>[EMPTY_CELL]</td><td>Non-isidiate forms expressing the salazinic acid chemosyndrome, from continental habitats in the Intermountain Western USA.</td></tr><tr><td>‘<i>X. wyomingica</i>’</td><td>‘E-2a’, ‘E-2b’, ‘E-2c’</td><td>‘Clade E-2’</td><td>[EMPTY_CELL]</td><td>Morphologically variable forms, ranging from adnate saxicolous forms to semi-attached and completely vagrant terricolous forms. Saxicolous forms generally express the salazinic acid chemosyndrome, but vagrant forms are chemically polymorphic, producing salazinic, stictic, nortstic, and fatty acid chemosyndromes. </td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Provisional taxon</b>\", \"bbox\": [1, 36, 57, 48]}, {\"cell\": \"<b>Bayesian clustering (see Figure 1)</b>\", \"bbox\": [67, 14, 115, 48]}, {\"cell\": \"<b>Phylogeny (see Figure 2)</b>\", \"bbox\": [114, 25, 163, 48]}, {\"cell\": \"<b>Traditional species</b>\", \"bbox\": [165, 36, 225, 48]}, {\"cell\": \"<b>General comments/notes</b>\", \"bbox\": [281, 36, 361, 48]}, {\"cell\": \"‘X. aff. <i>lineola</i>’\", \"bbox\": [1, 59, 43, 70]}, {\"cell\": \"‘D’\", \"bbox\": [67, 59, 76, 70]}, {\"cell\": \"‘Clade D-1’\", \"bbox\": [113, 59, 148, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 59, 204, 70]}, {\"cell\": \"Non-isidiate forms expressing the salazinic acid chemosyndrome, know from three specimens collected in montane habitats in Utah (Duchesne & Washington Counties), USA. \", \"bbox\": [281, 48, 493, 81]}, {\"cell\": \"‘<i>X. isidiomontana</i>’*\", \"bbox\": [1, 91, 56, 103]}, {\"cell\": \"‘D’\", \"bbox\": [67, 92, 76, 103]}, {\"cell\": \"‘Clade D-2’\", \"bbox\": [113, 92, 148, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 86, 272, 108]}, {\"cell\": \"Lineage dominated by the chemically polymorphic (norstictic, salazinic, and stictic acid chemosyndromes), isidiate forms in continental habitats in the Intermountain Western USA, east to the western Dakotas, USA. \", \"bbox\": [281, 81, 499, 114]}, {\"cell\": \"‘<i>X. subcumberlandia</i>’\", \"bbox\": [1, 119, 63, 130]}, {\"cell\": \"‘E-1a’\", \"bbox\": [67, 119, 85, 130]}, {\"cell\": \"‘Custer E-1a’\", \"bbox\": [113, 119, 153, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 119, 224, 130]}, {\"cell\": \"Non-isidiate forms expressing the stictic acid chemosyndrome, from continental habitats in the Intermountain Western USA.\", \"bbox\": [281, 114, 478, 136]}, {\"cell\": \"‘<i>X. utahensis</i>’*\", \"bbox\": [1, 140, 43, 152]}, {\"cell\": \"‘E-1b’\", \"bbox\": [67, 141, 85, 152]}, {\"cell\": \"‘Clade E-1b’\", \"bbox\": [113, 141, 151, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 141, 225, 152]}, {\"cell\": \"Non-isidiate forms expressing the salazinic acid chemosyndrome, from continental habitats in the Intermountain Western USA.\", \"bbox\": [281, 136, 486, 158]}, {\"cell\": \"‘<i>X. wyomingica</i>’\", \"bbox\": [1, 185, 47, 196]}, {\"cell\": \"‘E-2a’, ‘E-2b’, ‘E-2c’\", \"bbox\": [67, 180, 107, 202]}, {\"cell\": \"‘Clade E-2’\", \"bbox\": [113, 185, 147, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 158, 276, 224]}, {\"cell\": \"Morphologically variable forms, ranging from adnate saxicolous forms to semi-attached and completely vagrant terricolous forms. Saxicolous forms generally express the salazinic acid chemosyndrome, but vagrant forms are chemically polymorphic, producing salazinic, stictic, nortstic, and fatty acid chemosyndromes. \", \"bbox\": [281, 163, 496, 218]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3873437_010_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}221{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Facilitators</b></td><td><b>Group with worse attitudes<i>N</i> (%)</b></td><td><b>Group with better attitudes<i>N</i> (%)</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>136 (97.1)</td><td>92 (97.9)</td><td>1.0<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>139 (99.3)</td><td>90 (95.7)</td><td>0.16<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>134 (95.7)</td><td>88 (93.6)</td><td>0.55<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>136 (97.1)</td><td>92 (97.9)</td><td>1.0<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>136 (97.1)</td><td>90 (95.7)</td><td>0.72<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>136 (97.1)</td><td>90 (95.7)</td><td>0.72<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>137 (97.9)</td><td>92 (97.9)</td><td>1.0<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>115 (82.1)</td><td>77 (81.9)</td><td>0.96<sup>b</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Facilitators</b>\", \"bbox\": [2, 14, 44, 24]}, {\"cell\": \"<b>Group with worse attitudes<i>N</i> (%)</b>\", \"bbox\": [245, 4, 301, 37]}, {\"cell\": \"<b>Group with better attitudes<i>N</i> (%)</b>\", \"bbox\": [363, 4, 419, 37]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [485, 10, 492, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 38, 129, 48]}, {\"cell\": \"136 (97.1)\", \"bbox\": [256, 38, 290, 49]}, {\"cell\": \"92 (97.9)\", \"bbox\": [375, 38, 407, 49]}, {\"cell\": \"1.0<sup>a</sup>\", \"bbox\": [481, 36, 495, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 51, 148, 62]}, {\"cell\": \"139 (99.3)\", \"bbox\": [255, 52, 291, 62]}, {\"cell\": \"90 (95.7)\", \"bbox\": [374, 52, 408, 62]}, {\"cell\": \"0.16<sup>a</sup>\", \"bbox\": [479, 49, 497, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 64, 176, 75]}, {\"cell\": \"134 (95.7)\", \"bbox\": [255, 65, 291, 76]}, {\"cell\": \"88 (93.6)\", \"bbox\": [374, 65, 408, 76]}, {\"cell\": \"0.55<sup>a</sup>\", \"bbox\": [478, 62, 498, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 77, 163, 88]}, {\"cell\": \"136 (97.1)\", \"bbox\": [256, 78, 290, 89]}, {\"cell\": \"92 (97.9)\", \"bbox\": [375, 78, 407, 89]}, {\"cell\": \"1.0<sup>a</sup>\", \"bbox\": [481, 76, 495, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 91, 178, 101]}, {\"cell\": \"136 (97.1)\", \"bbox\": [256, 91, 290, 102]}, {\"cell\": \"90 (95.7)\", \"bbox\": [374, 91, 408, 102]}, {\"cell\": \"0.72<sup>a</sup>\", \"bbox\": [478, 89, 498, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 104, 190, 115]}, {\"cell\": \"136 (97.1)\", \"bbox\": [256, 105, 290, 115]}, {\"cell\": \"90 (95.7)\", \"bbox\": [374, 105, 408, 115]}, {\"cell\": \"0.72<sup>a</sup>\", \"bbox\": [478, 102, 498, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 117, 176, 128]}, {\"cell\": \"137 (97.9)\", \"bbox\": [256, 118, 291, 129]}, {\"cell\": \"92 (97.9)\", \"bbox\": [375, 118, 407, 129]}, {\"cell\": \"1.0<sup>a</sup>\", \"bbox\": [481, 115, 495, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 130, 137, 141]}, {\"cell\": \"115 (82.1)\", \"bbox\": [256, 131, 290, 142]}, {\"cell\": \"77 (81.9)\", \"bbox\": [375, 131, 407, 142]}, {\"cell\": \"0.96<sup>b</sup>\", \"bbox\": [478, 129, 498, 141]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4739209_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}222{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>IDH n (%)</b></td><td><b>NO IDH n (%)</b></td><td><b>OR (CI)</b></td><td><b>P value</b></td></tr></thead><tbody><tr><td>Obstructive nephropathy</td><td>13 (39.4)</td><td>20 (60.6)</td><td>[EMPTY_CELL]</td><td>0.004</td></tr><tr><td>Pre-dialysis Hypotension</td><td>1 (3.4)</td><td>29 (96.6)</td><td>[EMPTY_CELL]</td><td>0.040</td></tr><tr><td>Male</td><td>37 (20.6)</td><td>143 (79.4)</td><td>[EMPTY_CELL]</td><td>0.716</td></tr><tr><td>Female</td><td>27 (18.9)</td><td>99 (81.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age >65years</td><td>15 (24.6)</td><td>49 (75.4)</td><td>[EMPTY_CELL]</td><td>0.302</td></tr><tr><td>AKI</td><td>22 (27.5)</td><td>80 (72.5)</td><td>[EMPTY_CELL]</td><td>0.712</td></tr><tr><td>CKD</td><td>60 (24.8)</td><td>242 (75.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>HIVAN</td><td>5 (17.9)</td><td>23 (82.1)</td><td>[EMPTY_CELL]</td><td>0.779</td></tr><tr><td>Anaemia (PCV <20%)</td><td>12 (18.5)</td><td>53 (81.5)</td><td>[EMPTY_CELL]</td><td>0.759</td></tr><tr><td>Diabetes nephropathy</td><td>13 (22.4)</td><td>45 (77.6)</td><td>[EMPTY_CELL]</td><td>0.609</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 3, 36, 13]}, {\"cell\": \"<b>IDH n (%)</b>\", \"bbox\": [106, 3, 133, 27]}, {\"cell\": \"<b>NO IDH n (%)</b>\", \"bbox\": [170, 3, 203, 27]}, {\"cell\": \"<b>OR (CI)</b>\", \"bbox\": [227, 10, 260, 20]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [312, 10, 343, 20]}, {\"cell\": \"Obstructive nephropathy\", \"bbox\": [1, 32, 90, 42]}, {\"cell\": \"13 (39.4)\", \"bbox\": [106, 32, 141, 42]}, {\"cell\": \"20 (60.6)\", \"bbox\": [170, 32, 205, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 32, 289, 42]}, {\"cell\": \"0.004\", \"bbox\": [312, 32, 334, 42]}, {\"cell\": \"Pre-dialysis Hypotension\", \"bbox\": [1, 47, 88, 57]}, {\"cell\": \"1 (3.4)\", \"bbox\": [106, 47, 133, 57]}, {\"cell\": \"29 (96.6)\", \"bbox\": [170, 47, 205, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 47, 289, 57]}, {\"cell\": \"0.040\", \"bbox\": [312, 47, 334, 57]}, {\"cell\": \"Male\", \"bbox\": [1, 62, 19, 72]}, {\"cell\": \"37 (20.6)\", \"bbox\": [106, 62, 141, 72]}, {\"cell\": \"143 (79.4)\", \"bbox\": [170, 62, 209, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 62, 289, 72]}, {\"cell\": \"0.716\", \"bbox\": [312, 62, 334, 72]}, {\"cell\": \"Female\", \"bbox\": [1, 77, 28, 87]}, {\"cell\": \"27 (18.9)\", \"bbox\": [106, 77, 141, 87]}, {\"cell\": \"99 (81.1)\", \"bbox\": [170, 77, 205, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age >65years\", \"bbox\": [1, 92, 52, 102]}, {\"cell\": \"15 (24.6)\", \"bbox\": [106, 92, 141, 102]}, {\"cell\": \"49 (75.4)\", \"bbox\": [170, 92, 205, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 92, 285, 102]}, {\"cell\": \"0.302\", \"bbox\": [312, 92, 334, 102]}, {\"cell\": \"AKI\", \"bbox\": [1, 107, 15, 117]}, {\"cell\": \"22 (27.5)\", \"bbox\": [106, 108, 141, 118]}, {\"cell\": \"80 (72.5)\", \"bbox\": [170, 108, 205, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 108, 289, 118]}, {\"cell\": \"0.712\", \"bbox\": [312, 108, 334, 118]}, {\"cell\": \"CKD\", \"bbox\": [1, 125, 17, 135]}, {\"cell\": \"60 (24.8)\", \"bbox\": [106, 125, 141, 135]}, {\"cell\": \"242 (75.2)\", \"bbox\": [170, 125, 209, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HIVAN\", \"bbox\": [1, 140, 26, 150]}, {\"cell\": \"5 (17.9)\", \"bbox\": [106, 140, 137, 150]}, {\"cell\": \"23 (82.1)\", \"bbox\": [170, 140, 205, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 140, 289, 150]}, {\"cell\": \"0.779\", \"bbox\": [312, 140, 334, 150]}, {\"cell\": \"Anaemia (PCV <20%)\", \"bbox\": [1, 155, 80, 165]}, {\"cell\": \"12 (18.5)\", \"bbox\": [106, 155, 141, 165]}, {\"cell\": \"53 (81.5)\", \"bbox\": [170, 155, 205, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 155, 289, 165]}, {\"cell\": \"0.759\", \"bbox\": [312, 155, 334, 165]}, {\"cell\": \"Diabetes nephropathy\", \"bbox\": [1, 170, 80, 180]}, {\"cell\": \"13 (22.4)\", \"bbox\": [106, 170, 141, 180]}, {\"cell\": \"45 (77.6)\", \"bbox\": [170, 170, 205, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 170, 289, 180]}, {\"cell\": \"0.609\", \"bbox\": [312, 170, 334, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5718757_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}223{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Outcomes</b></td><td colspan=\\\"2\\\"><b>Ever EC Use (n = 528)</b></td><td colspan=\\\"2\\\"><b>Unstandardized Coefficient b <sup>a</sup> (95% CI)</b></td></tr><tr><td><b>No (%)</b></td><td><b>Yes (%)</b></td><td><b>Model 1</b></td><td><b>Model 2 <sup>b</sup></b></td></tr></thead><tbody><tr><td>Readier to quit <sup>c</sup></td><td>[EMPTY_CELL]</td><td>24.6</td><td>0.77 (0.31 to 1.94)</td><td>0.84 (0.33 to 2.15)</td></tr><tr><td>Median daily cigarette consumption (IQR)</td><td>[EMPTY_CELL]</td><td>10 (6 to 20)</td><td>1.40 (−0.32 to 3.12)</td><td>1.43 (−0.30 to 3.16)</td></tr><tr><td>Perception on successful abstinence (mean ± SD) <sup>d,e</sup></td><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>Importance</td><td>[EMPTY_CELL]</td><td>7.6 ± 1.9</td><td>0.14 (−0.36 to 0.64)</td><td>0.17 (−0.33 to 0.67)</td></tr><tr><td>Confidence</td><td>[EMPTY_CELL]</td><td>4.8 ± 2.5</td><td>−0.05 (−0.56 to 0.47)</td><td>−0.06 (−0.58 to 0.46)</td></tr><tr><td>Difficulties</td><td>[EMPTY_CELL]</td><td>7.8 ± 2.0</td><td>0.37 (−0.06 to 0.80)</td><td>0.40 (−0.03 to 0.84)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Outcomes</b>\", \"bbox\": [38, 11, 82, 21]}, {\"cell\": \"<b>Ever EC Use (n = 528)</b>\", \"bbox\": [137, 5, 227, 14]}, {\"cell\": \"<b>Unstandardized Coefficient b <sup>a</sup> (95% CI)</b>\", \"bbox\": [258, 3, 424, 14]}, {\"cell\": \"<b>No (%)</b>\", \"bbox\": [133, 21, 164, 30]}, {\"cell\": \"<b>Yes (%)</b>\", \"bbox\": [196, 21, 228, 30]}, {\"cell\": \"<b>Model 1</b>\", \"bbox\": [275, 21, 311, 30]}, {\"cell\": \"<b>Model 2 <sup>b</sup></b>\", \"bbox\": [367, 19, 409, 31]}, {\"cell\": \"Readier to quit <sup>c</sup>\", \"bbox\": [27, 35, 93, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 37, 157, 48]}, {\"cell\": \"24.6\", \"bbox\": [203, 37, 221, 48]}, {\"cell\": \"0.77 (0.31 to 1.94)\", \"bbox\": [258, 37, 328, 48]}, {\"cell\": \"0.84 (0.33 to 2.15)\", \"bbox\": [354, 37, 423, 48]}, {\"cell\": \"Median daily cigarette consumption (IQR)\", \"bbox\": [15, 48, 106, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 54, 171, 65]}, {\"cell\": \"10 (6 to 20)\", \"bbox\": [189, 54, 234, 65]}, {\"cell\": \"1.40 (−0.32 to 3.12)\", \"bbox\": [255, 54, 332, 65]}, {\"cell\": \"1.43 (−0.30 to 3.16)\", \"bbox\": [350, 54, 427, 65]}, {\"cell\": \"Perception on successful abstinence (mean ± SD) <sup>d,e</sup>\", \"bbox\": [6, 75, 113, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Importance\", \"bbox\": [36, 97, 84, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 97, 167, 108]}, {\"cell\": \"7.6 ± 1.9\", \"bbox\": [194, 97, 230, 108]}, {\"cell\": \"0.14 (−0.36 to 0.64)\", \"bbox\": [255, 97, 332, 108]}, {\"cell\": \"0.17 (−0.33 to 0.67)\", \"bbox\": [350, 97, 427, 108]}, {\"cell\": \"Confidence\", \"bbox\": [37, 108, 84, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 108, 167, 119]}, {\"cell\": \"4.8 ± 2.5\", \"bbox\": [194, 108, 230, 119]}, {\"cell\": \"−0.05 (−0.56 to 0.47)\", \"bbox\": [251, 108, 335, 119]}, {\"cell\": \"−0.06 (−0.58 to 0.46)\", \"bbox\": [347, 108, 431, 119]}, {\"cell\": \"Difficulties\", \"bbox\": [37, 119, 83, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 119, 167, 130]}, {\"cell\": \"7.8 ± 2.0\", \"bbox\": [194, 119, 230, 130]}, {\"cell\": \"0.37 (−0.06 to 0.80)\", \"bbox\": [255, 119, 332, 130]}, {\"cell\": \"0.40 (−0.03 to 0.84)\", \"bbox\": [350, 119, 427, 130]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5876945_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}224{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Criteria</b></td><td><b>Inclusion Criteria</b></td><td><b>Exclusion Criteria</b></td><td><b>Rationale</b></td></tr></thead><tbody><tr><td>Population(s)</td><td>Patients with bladder/urothelial cell, lung, gastric, or ovarian cancer</td><td>[EMPTY_CELL]</td><td>Population criteria were designed to reflect cancer populations that are candidates for PD-L1 expression testing</td></tr><tr><td>Interventions/Comparators</td><td>Diagnostic tests targeting the PD-1/PD-L1 pathway</td><td>[EMPTY_CELL]</td><td>To survey the range of tests currently in use, all PD-L1 tests or studies looking at diagnostics used in PD-1/PD-L1 immunotherapy trials were considered</td></tr><tr><td>Outcomes</td><td>PD-L1 test-validation metrics.Information on PD-L1 test-scoring algorithms or cutoffs was also captured from those studies that reported on test performance</td><td>[EMPTY_CELL]</td><td>As the review aimed to evaluate how well different tests performed against validation criteria, studies reporting outcomes relating to validation metrics were prioritized. It was also considered important to capture data relating to the tests’ characteristics (scoring algorithms and test cutoffs) in order to determine the comparability of different tests</td></tr><tr><td>Time</td><td>Indexed databases: January 1 2010 to September 15, 2016)Grey literature: Three most recent meetings (January 2013 up to November 2016).</td><td>[EMPTY_CELL]</td><td>Date limits were applied to reflect the very recent/current nature of this field of research</td></tr><tr><td>Study Design</td><td>• Randomized trials• Observational studies• Diagnostic or clinical validation studies</td><td>[EMPTY_CELL]</td><td>Study design criteria reflected the nature of the studies reporting on test-validation metrics of PD-L1 tests for use in human population.</td></tr><tr><td>Other</td><td>PD-L1 tests required to be commercially available• English language only• Geographic emphasis on the US, EU5, and Japan</td><td>[EMPTY_CELL]</td><td>Commercially available tests were prioritized to ensure that review was relevant to current practice. The geographic emphasis reflects the countries in which PD-1/PD-L1 immunotherapies are currently licensed. Most evidence in this field is published in English so language limits were designed to reflect this.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Criteria</b>\", \"bbox\": [1, 4, 23, 13]}, {\"cell\": \"<b>Inclusion Criteria</b>\", \"bbox\": [48, 4, 100, 13]}, {\"cell\": \"<b>Exclusion Criteria</b>\", \"bbox\": [181, 4, 233, 13]}, {\"cell\": \"<b>Rationale</b>\", \"bbox\": [307, 4, 337, 13]}, {\"cell\": \"Population(s)\", \"bbox\": [1, 16, 42, 25]}, {\"cell\": \"Patients with bladder/urothelial cell, lung, gastric, or ovarian cancer\", \"bbox\": [48, 16, 176, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 16, 265, 51]}, {\"cell\": \"Population criteria were designed to reflect cancer populations that are candidates for PD-L1 expression testing\", \"bbox\": [307, 16, 440, 42]}, {\"cell\": \"Interventions/Comparators\", \"bbox\": [1, 55, 44, 73]}, {\"cell\": \"Diagnostic tests targeting the PD-1/PD-L1 pathway\", \"bbox\": [48, 55, 176, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 55, 194, 64]}, {\"cell\": \"To survey the range of tests currently in use, all PD-L1 tests or studies looking at diagnostics used in PD-1/PD-L1 immunotherapy trials were considered\", \"bbox\": [307, 55, 484, 81]}, {\"cell\": \"Outcomes\", \"bbox\": [1, 86, 33, 95]}, {\"cell\": \"PD-L1 test-validation metrics.Information on PD-L1 test-scoring algorithms or cutoffs was also captured from those studies that reported on test performance\", \"bbox\": [48, 86, 153, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 86, 268, 112]}, {\"cell\": \"As the review aimed to evaluate how well different tests performed against validation criteria, studies reporting outcomes relating to validation metrics were prioritized. It was also considered important to capture data relating to the tests’ characteristics (scoring algorithms and test cutoffs) in order to determine the comparability of different tests\", \"bbox\": [307, 86, 484, 146]}, {\"cell\": \"Time\", \"bbox\": [1, 150, 17, 159]}, {\"cell\": \"Indexed databases: January 1 2010 to September 15, 2016)Grey literature: Three most recent meetings (January 2013 up to November 2016).\", \"bbox\": [48, 150, 155, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 150, 286, 168]}, {\"cell\": \"Date limits were applied to reflect the very recent/current nature of this field of research\", \"bbox\": [307, 150, 484, 168]}, {\"cell\": \"Study Design\", \"bbox\": [1, 198, 42, 207]}, {\"cell\": \"• Randomized trials• Observational studies• Diagnostic or clinical validation studies\", \"bbox\": [48, 198, 148, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 198, 231, 224]}, {\"cell\": \"Study design criteria reflected the nature of the studies reporting on test-validation metrics of PD-L1 tests for use in human population.\", \"bbox\": [307, 198, 483, 224]}, {\"cell\": \"Other\", \"bbox\": [1, 237, 20, 246]}, {\"cell\": \"PD-L1 tests required to be commercially available• English language only• Geographic emphasis on the US, EU5, and Japan\", \"bbox\": [48, 237, 142, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 237, 303, 280]}, {\"cell\": \"Commercially available tests were prioritized to ensure that review was relevant to current practice. The geographic emphasis reflects the countries in which PD-1/PD-L1 immunotherapies are currently licensed. Most evidence in this field is published in English so language limits were designed to reflect this.\", \"bbox\": [307, 237, 484, 288]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5807740_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}225{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Reducedform No.a</b></td><td colspan=\\\"2\\\"><b>Bravais lattice</b></td><td><b>Count</b></td><td><b>% Total</b></td></tr></thead><tbody><tr><td>1</td><td>Cubic</td><td>F</td><td>165</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>Rhombohedral</td><td>R</td><td>324</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>Cubic P</td><td>P</td><td>544</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>Rhombohedral</td><td>R</td><td>441</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>Cubic</td><td>I</td><td>137</td><td>[EMPTY_CELL]</td></tr><tr><td>6</td><td>Tetragonal</td><td>I</td><td>123</td><td>[EMPTY_CELL]</td></tr><tr><td>7</td><td>Tetragonal</td><td>I</td><td>231</td><td>[EMPTY_CELL]</td></tr><tr><td>8</td><td>Orthorhombic</td><td>I</td><td>28</td><td>[EMPTY_CELL]</td></tr><tr><td>9</td><td>Rhombohedral</td><td>R</td><td>281</td><td>[EMPTY_CELL]</td></tr><tr><td>10</td><td>Monoclinic</td><td>C/I</td><td>2151</td><td>[EMPTY_CELL]</td></tr><tr><td>11</td><td>Tetragonal</td><td>P</td><td>1499</td><td>[EMPTY_CELL]</td></tr><tr><td>12</td><td>Hexagonal</td><td>P</td><td>921</td><td>[EMPTY_CELL]</td></tr><tr><td>13</td><td>Orthorhombic</td><td>C</td><td>737</td><td>[EMPTY_CELL]</td></tr><tr><td>14</td><td>Monoclinic</td><td>C/I</td><td>1277</td><td>[EMPTY_CELL]</td></tr><tr><td>15</td><td>Tetragonal</td><td>I</td><td>304</td><td>[EMPTY_CELL]</td></tr><tr><td>16</td><td>Orthorhombic</td><td>F</td><td>265</td><td>[EMPTY_CELL]</td></tr><tr><td>17</td><td>Monoclinic</td><td>I/C</td><td>765</td><td>[EMPTY_CELL]</td></tr><tr><td>18</td><td>Tetragonal</td><td>I</td><td>504</td><td>[EMPTY_CELL]</td></tr><tr><td>19</td><td>Orthorhombic</td><td>I</td><td>188</td><td>[EMPTY_CELL]</td></tr><tr><td>20</td><td>Monoclinic</td><td>C/I</td><td>667</td><td>[EMPTY_CELL]</td></tr><tr><td>21</td><td>Tetragonal</td><td>P</td><td>1154</td><td>[EMPTY_CELL]</td></tr><tr><td>22</td><td>Hexagonal</td><td>P</td><td>801</td><td>[EMPTY_CELL]</td></tr><tr><td>23</td><td>Orthorhombic</td><td>C</td><td>327</td><td>[EMPTY_CELL]</td></tr><tr><td>24</td><td>Rhombohedral</td><td>R</td><td>351</td><td>[EMPTY_CELL]</td></tr><tr><td>25</td><td>Monoclinic</td><td>C/I</td><td>398</td><td>[EMPTY_CELL]</td></tr><tr><td>26</td><td>Orthorhombic</td><td>F</td><td>386</td><td>[EMPTY_CELL]</td></tr><tr><td>27</td><td>Monoclinic</td><td>I/C</td><td>2350</td><td>[EMPTY_CELL]</td></tr><tr><td>28</td><td>Monoclinic</td><td>C</td><td>110</td><td>[EMPTY_CELL]</td></tr><tr><td>29</td><td>Monoclinic</td><td>C</td><td>436</td><td>[EMPTY_CELL]</td></tr><tr><td>30</td><td>Monoclinic</td><td>C</td><td>141</td><td>[EMPTY_CELL]</td></tr><tr><td>31</td><td>Triclinic</td><td>P</td><td>13959</td><td>[EMPTY_CELL]</td></tr><tr><td>32</td><td>Orthorhombic</td><td>P</td><td>27154</td><td>[EMPTY_CELL]</td></tr><tr><td>33</td><td>Monoclinic</td><td>P</td><td>15937</td><td>[EMPTY_CELL]</td></tr><tr><td>34</td><td>Monoclinic</td><td>P</td><td>20554</td><td>[EMPTY_CELL]</td></tr><tr><td>35</td><td>Monoclinic</td><td>P</td><td>20048</td><td>[EMPTY_CELL]</td></tr><tr><td>36</td><td>Orthorhombic</td><td>C</td><td>237</td><td>[EMPTY_CELL]</td></tr><tr><td>37</td><td>Monoclinic</td><td>C/I</td><td>1201</td><td>[EMPTY_CELL]</td></tr><tr><td>38</td><td>Orthorhombic</td><td>C</td><td>442</td><td>[EMPTY_CELL]</td></tr><tr><td>39</td><td>Monoclinic</td><td>C/I</td><td>2718</td><td>[EMPTY_CELL]</td></tr><tr><td>40</td><td>Orthorhombic</td><td>C</td><td>232</td><td>[EMPTY_CELL]</td></tr><tr><td>41</td><td>Monoclinic</td><td>C/I</td><td>393</td><td>[EMPTY_CELL]</td></tr><tr><td>42</td><td>Orthorhombic</td><td>I</td><td>136</td><td>[EMPTY_CELL]</td></tr><tr><td>43</td><td>Monoclinic</td><td>I</td><td>138</td><td>[EMPTY_CELL]</td></tr><tr><td>44</td><td>Triclinic</td><td>P</td><td>12458</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Reducedform No.a</b>\", \"bbox\": [1, 7, 35, 26]}, {\"cell\": \"<b>Bravais lattice</b>\", \"bbox\": [57, 7, 106, 16]}, {\"cell\": \"<b>Count</b>\", \"bbox\": [145, 7, 167, 16]}, {\"cell\": \"<b>% Total</b>\", \"bbox\": [196, 7, 224, 16]}, {\"cell\": \"1\", \"bbox\": [4, 37, 10, 46]}, {\"cell\": \"Cubic\", \"bbox\": [49, 37, 70, 46]}, {\"cell\": \"F\", \"bbox\": [105, 37, 111, 46]}, {\"cell\": \"165\", \"bbox\": [153, 37, 167, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 37, 215, 46]}, {\"cell\": \"2\", \"bbox\": [4, 47, 10, 56]}, {\"cell\": \"Rhombohedral\", \"bbox\": [49, 47, 99, 56]}, {\"cell\": \"R\", \"bbox\": [105, 47, 112, 56]}, {\"cell\": \"324\", \"bbox\": [153, 47, 167, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 47, 215, 56]}, {\"cell\": \"3\", \"bbox\": [4, 57, 10, 66]}, {\"cell\": \"Cubic P\", \"bbox\": [49, 57, 77, 66]}, {\"cell\": \"P\", \"bbox\": [105, 57, 111, 66]}, {\"cell\": \"544\", \"bbox\": [153, 57, 167, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 57, 215, 66]}, {\"cell\": \"4\", \"bbox\": [4, 67, 10, 76]}, {\"cell\": \"Rhombohedral\", \"bbox\": [49, 67, 99, 76]}, {\"cell\": \"R\", \"bbox\": [105, 67, 112, 76]}, {\"cell\": \"441\", \"bbox\": [153, 67, 167, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 67, 215, 76]}, {\"cell\": \"5\", \"bbox\": [4, 77, 10, 86]}, {\"cell\": \"Cubic\", \"bbox\": [49, 77, 70, 86]}, {\"cell\": \"I\", \"bbox\": [105, 77, 109, 86]}, {\"cell\": \"137\", \"bbox\": [153, 77, 167, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 77, 215, 86]}, {\"cell\": \"6\", \"bbox\": [4, 87, 10, 96]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 87, 86, 96]}, {\"cell\": \"I\", \"bbox\": [105, 87, 109, 96]}, {\"cell\": \"123\", \"bbox\": [153, 87, 167, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 87, 215, 96]}, {\"cell\": \"7\", \"bbox\": [4, 97, 10, 106]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 97, 86, 106]}, {\"cell\": \"I\", \"bbox\": [105, 97, 109, 106]}, {\"cell\": \"231\", \"bbox\": [153, 97, 167, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 97, 215, 106]}, {\"cell\": \"8\", \"bbox\": [4, 107, 10, 116]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 107, 97, 116]}, {\"cell\": \"I\", \"bbox\": [105, 107, 109, 116]}, {\"cell\": \"28\", \"bbox\": [157, 107, 167, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 107, 215, 116]}, {\"cell\": \"9\", \"bbox\": [4, 117, 10, 126]}, {\"cell\": \"Rhombohedral\", \"bbox\": [49, 117, 99, 126]}, {\"cell\": \"R\", \"bbox\": [105, 117, 112, 126]}, {\"cell\": \"281\", \"bbox\": [153, 117, 167, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 117, 215, 126]}, {\"cell\": \"10\", \"bbox\": [1, 127, 10, 136]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 127, 88, 136]}, {\"cell\": \"C/I\", \"bbox\": [105, 127, 117, 136]}, {\"cell\": \"2151\", \"bbox\": [149, 127, 167, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 127, 215, 136]}, {\"cell\": \"11\", \"bbox\": [1, 137, 10, 146]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 137, 86, 146]}, {\"cell\": \"P\", \"bbox\": [105, 137, 111, 146]}, {\"cell\": \"1499\", \"bbox\": [149, 137, 167, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 137, 215, 146]}, {\"cell\": \"12\", \"bbox\": [1, 146, 10, 156]}, {\"cell\": \"Hexagonal\", \"bbox\": [49, 146, 86, 156]}, {\"cell\": \"P\", \"bbox\": [105, 146, 111, 156]}, {\"cell\": \"921\", \"bbox\": [153, 146, 167, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 146, 215, 156]}, {\"cell\": \"13\", \"bbox\": [1, 156, 10, 166]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 156, 97, 166]}, {\"cell\": \"C\", \"bbox\": [105, 156, 112, 166]}, {\"cell\": \"737\", \"bbox\": [153, 156, 167, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 156, 215, 166]}, {\"cell\": \"14\", \"bbox\": [1, 166, 10, 176]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 166, 88, 176]}, {\"cell\": \"C/I\", \"bbox\": [105, 166, 117, 176]}, {\"cell\": \"1277\", \"bbox\": [149, 166, 167, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 166, 215, 176]}, {\"cell\": \"15\", \"bbox\": [1, 176, 10, 186]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 176, 86, 186]}, {\"cell\": \"I\", \"bbox\": [105, 176, 109, 186]}, {\"cell\": \"304\", \"bbox\": [153, 176, 167, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 176, 215, 186]}, {\"cell\": \"16\", \"bbox\": [1, 186, 10, 196]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 186, 97, 196]}, {\"cell\": \"F\", \"bbox\": [105, 186, 111, 196]}, {\"cell\": \"265\", \"bbox\": [153, 186, 167, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 186, 215, 196]}, {\"cell\": \"17\", \"bbox\": [1, 196, 10, 205]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 196, 88, 205]}, {\"cell\": \"I/C\", \"bbox\": [105, 196, 117, 205]}, {\"cell\": \"765\", \"bbox\": [153, 196, 167, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 196, 215, 205]}, {\"cell\": \"18\", \"bbox\": [1, 206, 10, 215]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 206, 86, 215]}, {\"cell\": \"I\", \"bbox\": [105, 206, 109, 215]}, {\"cell\": \"504\", \"bbox\": [153, 206, 167, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 206, 215, 215]}, {\"cell\": \"19\", \"bbox\": [1, 216, 10, 225]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 216, 97, 225]}, {\"cell\": \"I\", \"bbox\": [105, 216, 109, 225]}, {\"cell\": \"188\", \"bbox\": [153, 216, 167, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 216, 215, 225]}, {\"cell\": \"20\", \"bbox\": [1, 226, 10, 235]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 226, 88, 235]}, {\"cell\": \"C/I\", \"bbox\": [105, 226, 117, 235]}, {\"cell\": \"667\", \"bbox\": [153, 226, 167, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 226, 215, 235]}, {\"cell\": \"21\", \"bbox\": [1, 236, 10, 245]}, {\"cell\": \"Tetragonal\", \"bbox\": [49, 236, 86, 245]}, {\"cell\": \"P\", \"bbox\": [105, 236, 111, 245]}, {\"cell\": \"1154\", \"bbox\": [149, 236, 167, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 236, 215, 245]}, {\"cell\": \"22\", \"bbox\": [1, 246, 10, 255]}, {\"cell\": \"Hexagonal\", \"bbox\": [49, 246, 86, 255]}, {\"cell\": \"P\", \"bbox\": [105, 246, 111, 255]}, {\"cell\": \"801\", \"bbox\": [153, 246, 167, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 246, 215, 255]}, {\"cell\": \"23\", \"bbox\": [1, 256, 10, 265]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 256, 97, 265]}, {\"cell\": \"C\", \"bbox\": [105, 256, 112, 265]}, {\"cell\": \"327\", \"bbox\": [153, 256, 167, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 256, 215, 265]}, {\"cell\": \"24\", \"bbox\": [1, 266, 10, 275]}, {\"cell\": \"Rhombohedral\", \"bbox\": [49, 266, 99, 275]}, {\"cell\": \"R\", \"bbox\": [105, 266, 112, 275]}, {\"cell\": \"351\", \"bbox\": [153, 266, 167, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 266, 215, 275]}, {\"cell\": \"25\", \"bbox\": [1, 276, 10, 285]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 276, 88, 285]}, {\"cell\": \"C/I\", \"bbox\": [105, 276, 117, 285]}, {\"cell\": \"398\", \"bbox\": [153, 276, 167, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 276, 215, 285]}, {\"cell\": \"26\", \"bbox\": [1, 286, 10, 295]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 286, 97, 295]}, {\"cell\": \"F\", \"bbox\": [105, 286, 111, 295]}, {\"cell\": \"386\", \"bbox\": [153, 286, 167, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 286, 215, 295]}, {\"cell\": \"27\", \"bbox\": [1, 296, 10, 305]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 296, 88, 305]}, {\"cell\": \"I/C\", \"bbox\": [105, 296, 117, 305]}, {\"cell\": \"2350\", \"bbox\": [149, 296, 167, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 296, 215, 305]}, {\"cell\": \"28\", \"bbox\": [1, 306, 10, 315]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 306, 88, 315]}, {\"cell\": \"C\", \"bbox\": [105, 306, 112, 315]}, {\"cell\": \"110\", \"bbox\": [153, 306, 167, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 306, 215, 315]}, {\"cell\": \"29\", \"bbox\": [1, 316, 10, 325]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 316, 88, 325]}, {\"cell\": \"C\", \"bbox\": [105, 316, 112, 325]}, {\"cell\": \"436\", \"bbox\": [153, 316, 167, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 316, 215, 325]}, {\"cell\": \"30\", \"bbox\": [1, 326, 10, 335]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 326, 88, 335]}, {\"cell\": \"C\", \"bbox\": [105, 326, 112, 335]}, {\"cell\": \"141\", \"bbox\": [153, 326, 167, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 326, 215, 335]}, {\"cell\": \"31\", \"bbox\": [1, 336, 10, 345]}, {\"cell\": \"Triclinic\", \"bbox\": [49, 336, 79, 345]}, {\"cell\": \"P\", \"bbox\": [105, 336, 111, 345]}, {\"cell\": \"13959\", \"bbox\": [145, 336, 167, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 336, 215, 345]}, {\"cell\": \"32\", \"bbox\": [1, 346, 10, 355]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 346, 97, 355]}, {\"cell\": \"P\", \"bbox\": [105, 346, 111, 355]}, {\"cell\": \"27154\", \"bbox\": [145, 346, 167, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 346, 215, 355]}, {\"cell\": \"33\", \"bbox\": [1, 356, 10, 365]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 356, 88, 365]}, {\"cell\": \"P\", \"bbox\": [105, 356, 111, 365]}, {\"cell\": \"15937\", \"bbox\": [145, 356, 167, 365]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 356, 215, 365]}, {\"cell\": \"34\", \"bbox\": [1, 366, 10, 375]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 366, 88, 375]}, {\"cell\": \"P\", \"bbox\": [105, 366, 111, 375]}, {\"cell\": \"20554\", \"bbox\": [145, 366, 167, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 366, 215, 375]}, {\"cell\": \"35\", \"bbox\": [1, 376, 10, 385]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 376, 88, 385]}, {\"cell\": \"P\", \"bbox\": [105, 376, 111, 385]}, {\"cell\": \"20048\", \"bbox\": [145, 376, 167, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 376, 215, 385]}, {\"cell\": \"36\", \"bbox\": [1, 386, 10, 395]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 386, 97, 395]}, {\"cell\": \"C\", \"bbox\": [105, 386, 112, 395]}, {\"cell\": \"237\", \"bbox\": [153, 386, 167, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 386, 215, 395]}, {\"cell\": \"37\", \"bbox\": [1, 395, 10, 405]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 395, 88, 405]}, {\"cell\": \"C/I\", \"bbox\": [105, 395, 117, 405]}, {\"cell\": \"1201\", \"bbox\": [149, 395, 167, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 395, 215, 405]}, {\"cell\": \"38\", \"bbox\": [1, 405, 10, 415]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 405, 97, 415]}, {\"cell\": \"C\", \"bbox\": [105, 405, 112, 415]}, {\"cell\": \"442\", \"bbox\": [153, 405, 167, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 405, 215, 415]}, {\"cell\": \"39\", \"bbox\": [1, 415, 10, 425]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 415, 88, 425]}, {\"cell\": \"C/I\", \"bbox\": [105, 415, 117, 425]}, {\"cell\": \"2718\", \"bbox\": [149, 415, 167, 425]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 415, 215, 425]}, {\"cell\": \"40\", \"bbox\": [1, 425, 10, 435]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 425, 97, 435]}, {\"cell\": \"C\", \"bbox\": [105, 425, 112, 435]}, {\"cell\": \"232\", \"bbox\": [153, 425, 167, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 425, 215, 435]}, {\"cell\": \"41\", \"bbox\": [1, 435, 10, 445]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 435, 88, 445]}, {\"cell\": \"C/I\", \"bbox\": [105, 435, 117, 445]}, {\"cell\": \"393\", \"bbox\": [153, 435, 167, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 435, 215, 445]}, {\"cell\": \"42\", \"bbox\": [1, 445, 10, 454]}, {\"cell\": \"Orthorhombic\", \"bbox\": [49, 445, 97, 454]}, {\"cell\": \"I\", \"bbox\": [105, 445, 109, 454]}, {\"cell\": \"136\", \"bbox\": [153, 445, 167, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 445, 215, 454]}, {\"cell\": \"43\", \"bbox\": [1, 455, 10, 464]}, {\"cell\": \"Monoclinic\", \"bbox\": [49, 455, 88, 464]}, {\"cell\": \"I\", \"bbox\": [105, 455, 109, 464]}, {\"cell\": \"138\", \"bbox\": [153, 455, 167, 464]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 455, 215, 464]}, {\"cell\": \"44\", \"bbox\": [1, 465, 10, 474]}, {\"cell\": \"Triclinic\", \"bbox\": [49, 465, 79, 474]}, {\"cell\": \"P\", \"bbox\": [105, 465, 111, 474]}, {\"cell\": \"12458\", \"bbox\": [145, 465, 167, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 465, 215, 474]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4865301_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}226{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Data</b></td><td><b>Test performed</b></td></tr></thead><tbody><tr><td>Weight and temperature, progression of deficits in challenging beam</td><td>[EMPTY_CELL]</td></tr><tr><td>Total tau/p-tau levels, challenging beam (averaged for five trials), open field (total 15-min session), density of IBA-1-positive cells</td><td>[EMPTY_CELL]</td></tr><tr><td>Challenging beam (individual trials), open field habituation (measured by comparing activity in separate 5-min blocks)</td><td>[EMPTY_CELL]</td></tr><tr><td>Surface area of aggregates in subregions of substantia nigra</td><td>[EMPTY_CELL]</td></tr><tr><td>Latency to find buried pellet, time to turn/descend in pole, qualitative score of aggregates in olfactory bulb</td><td>[EMPTY_CELL]</td></tr><tr><td>% of performers in olfaction test and in pole test</td><td>[EMPTY_CELL]</td></tr><tr><td>Distribution analysis of microglial cell diameter</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Data</b>\", \"bbox\": [1, 6, 17, 15]}, {\"cell\": \"<b>Test performed</b>\", \"bbox\": [231, 6, 281, 15]}, {\"cell\": \"Weight and temperature, progression of deficits in challenging beam\", \"bbox\": [1, 23, 166, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 23, 452, 54]}, {\"cell\": \"Total tau/p-tau levels, challenging beam (averaged for five trials), open field (total 15-min session), density of IBA-1-positive cells\", \"bbox\": [1, 55, 211, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 55, 437, 74]}, {\"cell\": \"Challenging beam (individual trials), open field habituation (measured by comparing activity in separate 5-min blocks)\", \"bbox\": [1, 76, 193, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 76, 475, 95]}, {\"cell\": \"Surface area of aggregates in subregions of substantia nigra\", \"bbox\": [1, 97, 197, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 97, 456, 116]}, {\"cell\": \"Latency to find buried pellet, time to turn/descend in pole, qualitative score of aggregates in olfactory bulb\", \"bbox\": [1, 117, 191, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 117, 472, 127]}, {\"cell\": \"% of performers in olfaction test and in pole test\", \"bbox\": [1, 138, 162, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 138, 458, 148]}, {\"cell\": \"Distribution analysis of microglial cell diameter\", \"bbox\": [1, 149, 151, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 149, 277, 158]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4186425_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}227{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Histological diagnosis specimen (<i>n =</i> 19/34)</b></td><td><b>Last available histological specimen (<i>n =</i> 14/34)</b></td></tr><tr><td><b>Age</b></td><td>[EMPTY_CELL]</td><td><b>30 months</b></td><td><b>7.3 years</b></td></tr><tr><td><b>median (IQR)</b></td><td>[EMPTY_CELL]</td><td><b>(5.3 months -10.3 years)</b></td><td><b>(6 years – 13.9 years)</b></td></tr></thead><tbody><tr><td>Mode: <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>16 (84)</td><td>1 (7)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1 (5)</td><td>9 (65)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2 (11)</td><td>2 (14)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0 (0)</td><td>2 (14)</td></tr><tr><td>Results: <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>19 (100)</td><td>13 (93)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7 (37)</td><td>6 (43)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3 (16)</td><td>5 (35)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9 (47)</td><td>2 (14)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>8 (42)</td><td>8 (57)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0 (0)</td><td>1 (13)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2 (25)</td><td>5 (62)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>6 (75)</td><td>2 (25)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>14 (73)</td><td>14 (100)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>5 (36)</td><td>5 (36)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3 (21)</td><td>4 (28)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>6 (43)</td><td>5 (36)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>8 (42)</td><td>10 (71)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1 (13)</td><td>1 (10)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2 (25)</td><td>3 (30)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>5 (62)</td><td>6 (60)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>16 (84)</td><td>13 (93)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9 (56)</td><td>9 (69)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4 (25)</td><td>3 (23)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3 (19)</td><td>1 (8)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Histological diagnosis specimen (<i>n =</i> 19/34)</b>\", \"bbox\": [222, 4, 335, 22]}, {\"cell\": \"<b>Last available histological specimen (<i>n =</i> 14/34)</b>\", \"bbox\": [393, 4, 484, 22]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [1, 26, 16, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>30 months</b>\", \"bbox\": [259, 26, 298, 36]}, {\"cell\": \"<b>7.3 years</b>\", \"bbox\": [422, 26, 455, 36]}, {\"cell\": \"<b>median (IQR)</b>\", \"bbox\": [1, 39, 48, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>(5.3 months -10.3 years)</b>\", \"bbox\": [234, 39, 322, 49]}, {\"cell\": \"<b>(6 years – 13.9 years)</b>\", \"bbox\": [401, 39, 477, 49]}, {\"cell\": \"Mode: <i>n</i> (%)\", \"bbox\": [1, 52, 41, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 52, 121, 62]}, {\"cell\": \"16 (84)\", \"bbox\": [266, 52, 290, 62]}, {\"cell\": \"1 (7)\", \"bbox\": [431, 52, 447, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 66, 120, 76]}, {\"cell\": \"1 (5)\", \"bbox\": [270, 66, 286, 76]}, {\"cell\": \"9 (65)\", \"bbox\": [429, 66, 449, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 80, 135, 90]}, {\"cell\": \"2 (11)\", \"bbox\": [268, 80, 288, 90]}, {\"cell\": \"2 (14)\", \"bbox\": [429, 80, 449, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 94, 145, 104]}, {\"cell\": \"0 (0)\", \"bbox\": [270, 94, 286, 104]}, {\"cell\": \"2 (14)\", \"bbox\": [429, 94, 449, 104]}, {\"cell\": \"Results: <i>n</i> (%)\", \"bbox\": [1, 108, 45, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 108, 121, 118]}, {\"cell\": \"19 (100)\", \"bbox\": [264, 108, 292, 118]}, {\"cell\": \"13 (93)\", \"bbox\": [427, 108, 451, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 122, 113, 132]}, {\"cell\": \"7 (37)\", \"bbox\": [268, 122, 288, 132]}, {\"cell\": \"6 (43)\", \"bbox\": [429, 122, 449, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 136, 118, 146]}, {\"cell\": \"3 (16)\", \"bbox\": [268, 136, 288, 146]}, {\"cell\": \"5 (35)\", \"bbox\": [429, 136, 449, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 150, 123, 160]}, {\"cell\": \"9 (47)\", \"bbox\": [268, 150, 288, 160]}, {\"cell\": \"2 (14)\", \"bbox\": [429, 150, 449, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 164, 123, 174]}, {\"cell\": \"8 (42)\", \"bbox\": [268, 164, 288, 174]}, {\"cell\": \"8 (57)\", \"bbox\": [429, 164, 449, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 178, 113, 188]}, {\"cell\": \"0 (0)\", \"bbox\": [270, 178, 286, 188]}, {\"cell\": \"1 (13)\", \"bbox\": [429, 178, 449, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 192, 118, 202]}, {\"cell\": \"2 (25)\", \"bbox\": [268, 192, 288, 202]}, {\"cell\": \"5 (62)\", \"bbox\": [429, 192, 449, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 206, 123, 216]}, {\"cell\": \"6 (75)\", \"bbox\": [268, 206, 288, 216]}, {\"cell\": \"2 (25)\", \"bbox\": [429, 206, 449, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 220, 163, 230]}, {\"cell\": \"14 (73)\", \"bbox\": [266, 220, 290, 230]}, {\"cell\": \"14 (100)\", \"bbox\": [425, 220, 453, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 234, 113, 244]}, {\"cell\": \"5 (36)\", \"bbox\": [268, 234, 288, 244]}, {\"cell\": \"5 (36)\", \"bbox\": [429, 234, 449, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 248, 118, 258]}, {\"cell\": \"3 (21)\", \"bbox\": [268, 248, 288, 258]}, {\"cell\": \"4 (28)\", \"bbox\": [429, 248, 449, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 262, 123, 272]}, {\"cell\": \"6 (43)\", \"bbox\": [268, 262, 288, 272]}, {\"cell\": \"5 (36)\", \"bbox\": [429, 262, 449, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 276, 132, 286]}, {\"cell\": \"8 (42)\", \"bbox\": [268, 276, 288, 286]}, {\"cell\": \"10 (71)\", \"bbox\": [427, 276, 451, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 290, 113, 300]}, {\"cell\": \"1 (13)\", \"bbox\": [268, 290, 288, 300]}, {\"cell\": \"1 (10)\", \"bbox\": [429, 290, 449, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 304, 118, 314]}, {\"cell\": \"2 (25)\", \"bbox\": [268, 304, 288, 314]}, {\"cell\": \"3 (30)\", \"bbox\": [429, 304, 449, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 318, 123, 328]}, {\"cell\": \"5 (62)\", \"bbox\": [268, 318, 288, 328]}, {\"cell\": \"6 (60)\", \"bbox\": [429, 318, 449, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 332, 151, 342]}, {\"cell\": \"16 (84)\", \"bbox\": [266, 332, 290, 342]}, {\"cell\": \"13 (93)\", \"bbox\": [427, 332, 451, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 346, 113, 356]}, {\"cell\": \"9 (56)\", \"bbox\": [268, 346, 288, 356]}, {\"cell\": \"9 (69)\", \"bbox\": [429, 346, 449, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 360, 118, 370]}, {\"cell\": \"4 (25)\", \"bbox\": [268, 360, 288, 370]}, {\"cell\": \"3 (23)\", \"bbox\": [429, 360, 449, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 374, 123, 384]}, {\"cell\": \"3 (19)\", \"bbox\": [268, 374, 288, 384]}, {\"cell\": \"1 (8)\", \"bbox\": [431, 374, 447, 384]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4062771_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}228{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Services (N)</b></td><td><b>Inappropriatemeasurements%<sup>†</sup></b></td><td><b>The time in days between two consecutive measurements</b></td></tr></thead><tbody><tr><td>Coronary CU (1971)</td><td>[EMPTY_CELL]</td><td>1 (1-1)</td></tr><tr><td>Cardiology (5279)</td><td>[EMPTY_CELL]</td><td>1 (1-2)</td></tr><tr><td>ICU-Internal diseases (1102)</td><td>[EMPTY_CELL]</td><td>1 (1-2)</td></tr><tr><td>CVS (435)</td><td>[EMPTY_CELL]</td><td>1 (1-2)</td></tr><tr><td>Anesthesia ICU (488)</td><td>[EMPTY_CELL]</td><td>3 (3-4)</td></tr><tr><td>Other (2132)</td><td>[EMPTY_CELL]</td><td>1 (1-3)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Data are presented as median and interquartile range. ICU - Intensive Care Unit. Coronary CU - Coronary Care Unit.CVS - Cardio-Vascular Surgery. Other services - a total of 34 services including chest diseases, ICU of cardiothoracicsurgery, orthopedics and traumatology, gastroenterology. *chi-square test. N - number of serum digoxin measurements after the first measurement. <sup>†</sup>Percent of rows.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Services (N)</b>\", \"bbox\": [20, 21, 69, 32]}, {\"cell\": \"<b>Inappropriatemeasurements%<sup>†</sup></b>\", \"bbox\": [91, 11, 154, 42]}, {\"cell\": \"<b>The time in days between two consecutive measurements</b>\", \"bbox\": [165, 5, 232, 48]}, {\"cell\": \"Coronary CU (1971)\", \"bbox\": [8, 53, 82, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 53, 128, 63]}, {\"cell\": \"1 (1-1)\", \"bbox\": [186, 53, 210, 63]}, {\"cell\": \"Cardiology (5279)\", \"bbox\": [11, 68, 79, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 68, 128, 78]}, {\"cell\": \"1 (1-2)\", \"bbox\": [186, 68, 211, 78]}, {\"cell\": \"ICU-Internal diseases (1102)\", \"bbox\": [4, 83, 85, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 83, 128, 94]}, {\"cell\": \"1 (1-2)\", \"bbox\": [186, 83, 211, 94]}, {\"cell\": \"CVS (435)\", \"bbox\": [26, 109, 63, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 109, 128, 120]}, {\"cell\": \"1 (1-2)\", \"bbox\": [186, 109, 211, 120]}, {\"cell\": \"Anesthesia ICU (488)\", \"bbox\": [5, 124, 84, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 124, 128, 135]}, {\"cell\": \"3 (3-4)\", \"bbox\": [186, 124, 211, 135]}, {\"cell\": \"Other (2132)\", \"bbox\": [21, 140, 69, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 140, 128, 150]}, {\"cell\": \"1 (1-3)\", \"bbox\": [186, 140, 211, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 155, 142, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Data are presented as median and interquartile range. ICU - Intensive Care Unit. Coronary CU - Coronary Care Unit.CVS - Cardio-Vascular Surgery. Other services - a total of 34 services including chest diseases, ICU of cardiothoracicsurgery, orthopedics and traumatology, gastroenterology. *chi-square test. N - number of serum digoxin measurements after the first measurement. <sup>†</sup>Percent of rows.\", \"bbox\": [3, 170, 235, 246]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5701777_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}229{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene name<sup>a</sup></b></td><td><b>Mle scaffold or accession number</b></td><td><b>Pfam domains</b></td><td><b>E value<sup>b</sup></b></td><td><b>Human hit<sup>b</sup></b></td></tr></thead><tbody><tr><td>WntA</td><td>HM448813</td><td>Wnt</td><td>[EMPTY_CELL]</td><td>NP_110388.2: Wnt4</td></tr><tr><td>Wnt6</td><td>HM448814</td><td>Wnt</td><td>[EMPTY_CELL]</td><td>NP_006513.1: Wnt6</td></tr><tr><td>Wnt9</td><td>HM448815</td><td>Wnt</td><td>[EMPTY_CELL]</td><td>CAA96283.1: Wnt13</td></tr><tr><td>WntX</td><td>HM448816</td><td>Wnt</td><td>[EMPTY_CELL]</td><td>NP_110388.2: Wnt4</td></tr><tr><td>β-catenin</td><td>HM448817</td><td>ARM(12)</td><td>[EMPTY_CELL]</td><td>BAG70078.1: Beta-catenin</td></tr><tr><td>Dishevelled (Dsh)</td><td>HM448818</td><td>DIX, PDZ, DEP</td><td>[EMPTY_CELL]</td><td>AAB65244.1: DSH3</td></tr><tr><td>FrizzledA</td><td>HM448819</td><td>Fz, Fri 7TM</td><td>[EMPTY_CELL]</td><td>NP_003498.1: Frizzled7</td></tr><tr><td>FrizzledB</td><td>HM448820</td><td>Fz, Fri 7TM</td><td>[EMPTY_CELL]</td><td>NP_003498.1: Frizzled7</td></tr><tr><td>Sfrp<sup>c</sup></td><td>HM448821</td><td>Fz</td><td>[EMPTY_CELL]</td><td>AAD41636.1: Frizzled1</td></tr><tr><td>TCF<sup>d</sup></td><td>HM448822</td><td>HMG</td><td>[EMPTY_CELL]</td><td>CAB97214: TCF4</td></tr><tr><td>Pygopus</td><td>HM448823</td><td>PHD zinc finger</td><td>[EMPTY_CELL]</td><td>CAB43209.1: Pygo2</td></tr><tr><td>Chibby</td><td>HM448824</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CAQ07904.1: Chibby1</td></tr><tr><td>Porcupine</td><td>HM448825</td><td>Transmembrane</td><td>[EMPTY_CELL]</td><td>NP_073736.2: Porc isoA</td></tr><tr><td>DIXD<sup>e</sup></td><td>HM448826</td><td>DIX</td><td>[EMPTY_CELL]</td><td>AAH41626.2: DIXDC1</td></tr><tr><td>LRP5/6<sup>f</sup></td><td><b>c600800006.Contig20</b></td><td>EGF(2), LY, EGF, LY(4), EGF</td><td>[EMPTY_CELL]</td><td>BA3305.1: LRP5</td></tr><tr><td>GSK-3<sup>g</sup></td><td><b>c606000111.Contig2</b></td><td>Ser/Thr kinase</td><td>[EMPTY_CELL]</td><td>NP_001139628.1: GSK-3 beta</td></tr><tr><td>APC<sup>h</sup></td><td>c408602200.Contig1</td><td>ARM(2)</td><td>[EMPTY_CELL]</td><td>AAF01784.1: APC2</td></tr><tr><td>CK1<sup>i</sup></td><td><b>c608300381.Contig1</b></td><td>Ser/Thr kinase</td><td>[EMPTY_CELL]</td><td>EAW61775.1: CK1</td></tr><tr><td>[EMPTY_CELL]</td><td><b>c607500101.Contig1</b></td><td>Ser/Thr kinase</td><td>[EMPTY_CELL]</td><td>CAA56710.1: CK1</td></tr><tr><td>Tankyrase</td><td><b>c606800096.Contig3</b></td><td>ANK(10), SAM, PARP, C2</td><td>[EMPTY_CELL]</td><td>NP_003738.2: Tankyrase-1</td></tr><tr><td>CBP<sup>j</sup></td><td><b>c601400002.Contig7</b></td><td>ZnF, KIX, BROMO, DUF906, ZnF</td><td>[EMPTY_CELL]</td><td>AAC51770.1: CREB-binding protein</td></tr><tr><td>Groucho/TLE<sup>k</sup></td><td><b>c601900005.Contig5b20</b></td><td>WD40(6), LDLa(3), transmembrane</td><td>[EMPTY_CELL]</td><td>AAH43247.1: TLE3</td></tr><tr><td>Wntless/evi</td><td><b>c607300052.Contig1</b></td><td>transmembrane</td><td>[EMPTY_CELL]</td><td>BAC11072.1: wntless</td></tr><tr><td>Lzic/Icat</td><td><b>c606200080.Contig2</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>NP_115774: LZIC</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene name<sup>a</sup></b>\", \"bbox\": [1, 2, 45, 13]}, {\"cell\": \"<b>Mle scaffold or accession number</b>\", \"bbox\": [69, 4, 189, 13]}, {\"cell\": \"<b>Pfam domains</b>\", \"bbox\": [200, 4, 252, 13]}, {\"cell\": \"<b>E value<sup>b</sup></b>\", \"bbox\": [322, 2, 353, 13]}, {\"cell\": \"<b>Human hit<sup>b</sup></b>\", \"bbox\": [364, 2, 407, 13]}, {\"cell\": \"WntA\", \"bbox\": [1, 17, 20, 27]}, {\"cell\": \"HM448813\", \"bbox\": [69, 17, 105, 27]}, {\"cell\": \"Wnt\", \"bbox\": [200, 17, 215, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 16, 340, 27]}, {\"cell\": \"NP_110388.2: Wnt4\", \"bbox\": [364, 17, 428, 27]}, {\"cell\": \"Wnt6\", \"bbox\": [0, 30, 19, 40]}, {\"cell\": \"HM448814\", \"bbox\": [69, 30, 105, 40]}, {\"cell\": \"Wnt\", \"bbox\": [200, 30, 215, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 29, 340, 40]}, {\"cell\": \"NP_006513.1: Wnt6\", \"bbox\": [364, 30, 428, 40]}, {\"cell\": \"Wnt9\", \"bbox\": [0, 44, 19, 53]}, {\"cell\": \"HM448815\", \"bbox\": [69, 44, 105, 53]}, {\"cell\": \"Wnt\", \"bbox\": [200, 44, 215, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 42, 340, 53]}, {\"cell\": \"CAA96283.1: Wnt13\", \"bbox\": [364, 44, 429, 53]}, {\"cell\": \"WntX\", \"bbox\": [0, 57, 20, 66]}, {\"cell\": \"HM448816\", \"bbox\": [69, 57, 105, 66]}, {\"cell\": \"Wnt\", \"bbox\": [200, 57, 215, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 55, 340, 66]}, {\"cell\": \"NP_110388.2: Wnt4\", \"bbox\": [364, 57, 428, 66]}, {\"cell\": \"β-catenin\", \"bbox\": [0, 70, 33, 79]}, {\"cell\": \"HM448817\", \"bbox\": [69, 70, 105, 79]}, {\"cell\": \"ARM(12)\", \"bbox\": [200, 70, 228, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 68, 342, 79]}, {\"cell\": \"BAG70078.1: Beta-catenin\", \"bbox\": [364, 70, 448, 79]}, {\"cell\": \"Dishevelled (Dsh)\", \"bbox\": [0, 83, 58, 93]}, {\"cell\": \"HM448818\", \"bbox\": [69, 83, 105, 93]}, {\"cell\": \"DIX, PDZ, DEP\", \"bbox\": [200, 83, 247, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 82, 340, 93]}, {\"cell\": \"AAB65244.1: DSH3\", \"bbox\": [364, 83, 426, 93]}, {\"cell\": \"FrizzledA\", \"bbox\": [0, 96, 31, 106]}, {\"cell\": \"HM448819\", \"bbox\": [69, 96, 105, 106]}, {\"cell\": \"Fz, Fri 7TM\", \"bbox\": [200, 96, 237, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 95, 340, 106]}, {\"cell\": \"NP_003498.1: Frizzled7\", \"bbox\": [364, 96, 439, 106]}, {\"cell\": \"FrizzledB\", \"bbox\": [0, 110, 30, 119]}, {\"cell\": \"HM448820\", \"bbox\": [69, 110, 105, 119]}, {\"cell\": \"Fz, Fri 7TM\", \"bbox\": [200, 110, 237, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 108, 340, 119]}, {\"cell\": \"NP_003498.1: Frizzled7\", \"bbox\": [364, 110, 439, 119]}, {\"cell\": \"Sfrp<sup>c</sup>\", \"bbox\": [0, 121, 17, 132]}, {\"cell\": \"HM448821\", \"bbox\": [69, 123, 105, 132]}, {\"cell\": \"Fz\", \"bbox\": [200, 123, 209, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 121, 340, 132]}, {\"cell\": \"AAD41636.1: Frizzled1\", \"bbox\": [364, 123, 437, 132]}, {\"cell\": \"TCF<sup>d</sup>\", \"bbox\": [0, 134, 17, 145]}, {\"cell\": \"HM448822\", \"bbox\": [69, 136, 105, 145]}, {\"cell\": \"HMG\", \"bbox\": [200, 136, 218, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 134, 340, 145]}, {\"cell\": \"CAB97214: TCF4\", \"bbox\": [364, 136, 418, 145]}, {\"cell\": \"Pygopus\", \"bbox\": [0, 149, 30, 159]}, {\"cell\": \"HM448823\", \"bbox\": [69, 149, 105, 159]}, {\"cell\": \"PHD zinc finger\", \"bbox\": [200, 149, 252, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 148, 340, 159]}, {\"cell\": \"CAB43209.1: Pygo2\", \"bbox\": [364, 149, 428, 159]}, {\"cell\": \"Chibby\", \"bbox\": [0, 162, 25, 172]}, {\"cell\": \"HM448824\", \"bbox\": [69, 162, 105, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 161, 337, 172]}, {\"cell\": \"CAQ07904.1: Chibby1\", \"bbox\": [364, 162, 435, 172]}, {\"cell\": \"Porcupine\", \"bbox\": [0, 176, 35, 185]}, {\"cell\": \"HM448825\", \"bbox\": [69, 176, 105, 185]}, {\"cell\": \"Transmembrane\", \"bbox\": [200, 176, 254, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 174, 340, 185]}, {\"cell\": \"NP_073736.2: Porc isoA\", \"bbox\": [364, 176, 442, 185]}, {\"cell\": \"DIXD<sup>e</sup>\", \"bbox\": [0, 187, 22, 198]}, {\"cell\": \"HM448826\", \"bbox\": [69, 189, 105, 198]}, {\"cell\": \"DIX\", \"bbox\": [200, 189, 213, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 187, 340, 198]}, {\"cell\": \"AAH41626.2: DIXDC1\", \"bbox\": [364, 189, 433, 198]}, {\"cell\": \"LRP5/6<sup>f</sup>\", \"bbox\": [0, 200, 26, 211]}, {\"cell\": \"<b>c600800006.Contig20</b>\", \"bbox\": [69, 202, 146, 211]}, {\"cell\": \"EGF(2), LY, EGF, LY(4), EGF\", \"bbox\": [200, 202, 285, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 200, 340, 211]}, {\"cell\": \"BA3305.1: LRP5\", \"bbox\": [364, 202, 415, 211]}, {\"cell\": \"GSK-3<sup>g</sup>\", \"bbox\": [0, 214, 24, 225]}, {\"cell\": \"<b>c606000111.Contig2</b>\", \"bbox\": [69, 215, 142, 225]}, {\"cell\": \"Ser/Thr kinase\", \"bbox\": [200, 215, 247, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 214, 342, 225]}, {\"cell\": \"NP_001139628.1: GSK-3 beta\", \"bbox\": [364, 215, 458, 225]}, {\"cell\": \"APC<sup>h</sup>\", \"bbox\": [0, 227, 19, 238]}, {\"cell\": \"c408602200.Contig1\", \"bbox\": [69, 228, 136, 238]}, {\"cell\": \"ARM(2)\", \"bbox\": [200, 228, 225, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 227, 340, 238]}, {\"cell\": \"AAF01784.1: APC2\", \"bbox\": [364, 228, 424, 238]}, {\"cell\": \"CK1<sup>i</sup>\", \"bbox\": [0, 240, 16, 251]}, {\"cell\": \"<b>c608300381.Contig1</b>\", \"bbox\": [69, 242, 142, 251]}, {\"cell\": \"Ser/Thr kinase\", \"bbox\": [200, 242, 247, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 240, 342, 251]}, {\"cell\": \"EAW61775.1: CK1\", \"bbox\": [364, 242, 422, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>c607500101.Contig1</b>\", \"bbox\": [69, 255, 142, 264]}, {\"cell\": \"Ser/Thr kinase\", \"bbox\": [200, 255, 247, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 253, 342, 264]}, {\"cell\": \"CAA56710.1: CK1\", \"bbox\": [364, 255, 421, 264]}, {\"cell\": \"Tankyrase\", \"bbox\": [0, 268, 33, 278]}, {\"cell\": \"<b>c606800096.Contig3</b>\", \"bbox\": [69, 268, 142, 277]}, {\"cell\": \"ANK(10), SAM, PARP, C2\", \"bbox\": [200, 268, 278, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 268, 333, 278]}, {\"cell\": \"NP_003738.2: Tankyrase-1\", \"bbox\": [364, 268, 448, 278]}, {\"cell\": \"CBP<sup>j</sup>\", \"bbox\": [0, 280, 16, 291]}, {\"cell\": \"<b>c601400002.Contig7</b>\", \"bbox\": [69, 281, 142, 291]}, {\"cell\": \"ZnF, KIX, BROMO, DUF906, ZnF\", \"bbox\": [200, 281, 302, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 281, 333, 291]}, {\"cell\": \"AAC51770.1: CREB-binding protein\", \"bbox\": [364, 281, 477, 291]}, {\"cell\": \"Groucho/TLE<sup>k</sup>\", \"bbox\": [1, 293, 46, 304]}, {\"cell\": \"<b>c601900005.Contig5b20</b>\", \"bbox\": [69, 294, 155, 304]}, {\"cell\": \"WD40(6), LDLa(3), transmembrane\", \"bbox\": [200, 294, 311, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 293, 342, 304]}, {\"cell\": \"AAH43247.1: TLE3\", \"bbox\": [364, 294, 424, 304]}, {\"cell\": \"Wntless/evi\", \"bbox\": [0, 308, 39, 317]}, {\"cell\": \"<b>c607300052.Contig1</b>\", \"bbox\": [69, 308, 142, 317]}, {\"cell\": \"transmembrane\", \"bbox\": [200, 308, 252, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 306, 340, 317]}, {\"cell\": \"BAC11072.1: wntless\", \"bbox\": [364, 308, 431, 317]}, {\"cell\": \"Lzic/Icat\", \"bbox\": [0, 321, 28, 330]}, {\"cell\": \"<b>c606200080.Contig2</b>\", \"bbox\": [69, 321, 142, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 319, 340, 330]}, {\"cell\": \"NP_115774: LZIC\", \"bbox\": [364, 321, 420, 330]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2959043_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}230{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>ρ</b></td><td><b><i>SD</i><sub>ρ</sub></b></td><td><b>95% CI</b></td><td><b>V%</b></td><td><b><i>K</i></b></td><td><b><i>N</i></b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\"><b>CORRELATIONS CORRECTED FOR SAMPLING- AND MEASUREMENT ERROR<sup>a</sup></b></td></tr><tr><td>Overall</td><td>0.130</td><td>0.162</td><td>(0.077, 0.183)</td><td>39.16</td><td>54</td><td>[EMPTY_CELL]</td></tr><tr><td>Affiliation</td><td>0.116</td><td>0.109</td><td>(0.050, 0.182)</td><td>53.15</td><td>34</td><td>[EMPTY_CELL]</td></tr><tr><td>Achievement</td><td>0.139</td><td>0.175</td><td>(0.080, 0.198)</td><td>33.74</td><td>47</td><td>[EMPTY_CELL]</td></tr><tr><td>Power</td><td>0.038</td><td>0.134</td><td>(−0.055, 0.131)</td><td>43.68</td><td>20</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\"><b>CORRELATIONS CORRECTED FOR SAMPLING ERROR ONLY<sup>a</sup></b></td></tr><tr><td>Overall</td><td>0.095</td><td>0.112</td><td>(0.056, 0.134)</td><td>38.81</td><td>54</td><td>[EMPTY_CELL]</td></tr><tr><td>Affiliation</td><td>0.092</td><td>0.087</td><td>(0.040, 0.144)</td><td>53.93</td><td>35</td><td>[EMPTY_CELL]</td></tr><tr><td>Achievement</td><td>0.110</td><td>0.131</td><td>(0.066, 0.154)</td><td>34.67</td><td>47</td><td>[EMPTY_CELL]</td></tr><tr><td>Power</td><td>0.026</td><td>0.099</td><td>(−0.046, 0.098)</td><td>45.45</td><td>21</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\"><b>DESCRIPTIVE STATISTICS FOR UNCORRECTED SINGLE CORRELATIONS</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>M</i></b></td><td><b><i>SD</i></b></td><td><b>95% CI</b></td><td>[EMPTY_CELL]</td><td><b><i>K</i><sup>c</sup></b></td><td>[EMPTY_CELL]</td></tr><tr><td>Overall</td><td>0.073</td><td>0.161</td><td>(0.048, 0.098)</td><td>[EMPTY_CELL]</td><td>165</td><td>[EMPTY_CELL]</td></tr><tr><td>Affiliation</td><td>0.081</td><td>0.175</td><td>(0.032, 0.130)</td><td>[EMPTY_CELL]</td><td>51</td><td>[EMPTY_CELL]</td></tr><tr><td>Achievement</td><td>0.073</td><td>0.155</td><td>(0.039, 0.106)</td><td>[EMPTY_CELL]</td><td>86</td><td>[EMPTY_CELL]</td></tr><tr><td>Power</td><td>0.059</td><td>0.155</td><td>(−0.001, 0.119)</td><td>[EMPTY_CELL]</td><td>28</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ρ</b>\", \"bbox\": [62, 8, 68, 15]}, {\"cell\": \"<b><i>SD</i><sub>ρ</sub></b>\", \"bbox\": [87, 6, 103, 16]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [128, 6, 155, 14]}, {\"cell\": \"<b>V%</b>\", \"bbox\": [181, 6, 195, 14]}, {\"cell\": \"<b><i>K</i></b>\", \"bbox\": [210, 6, 217, 14]}, {\"cell\": \"<b><i>N</i></b>\", \"bbox\": [236, 6, 243, 14]}, {\"cell\": \"<b>CORRELATIONS CORRECTED FOR SAMPLING- AND MEASUREMENT ERROR<sup>a</sup></b>\", \"bbox\": [2, 24, 189, 42]}, {\"cell\": \"Overall\", \"bbox\": [1, 45, 26, 54]}, {\"cell\": \"0.130\", \"bbox\": [55, 45, 75, 54]}, {\"cell\": \"0.162\", \"bbox\": [85, 45, 105, 54]}, {\"cell\": \"(0.077, 0.183)\", \"bbox\": [118, 45, 164, 54]}, {\"cell\": \"39.16\", \"bbox\": [178, 45, 198, 54]}, {\"cell\": \"54\", \"bbox\": [209, 45, 219, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 45, 249, 54]}, {\"cell\": \"Affiliation\", \"bbox\": [1, 56, 33, 65]}, {\"cell\": \"0.116\", \"bbox\": [56, 56, 75, 65]}, {\"cell\": \"0.109\", \"bbox\": [85, 56, 105, 65]}, {\"cell\": \"(0.050, 0.182)\", \"bbox\": [118, 56, 165, 65]}, {\"cell\": \"53.15\", \"bbox\": [178, 56, 198, 65]}, {\"cell\": \"34\", \"bbox\": [209, 56, 219, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 56, 249, 65]}, {\"cell\": \"Achievement\", \"bbox\": [1, 67, 46, 76]}, {\"cell\": \"0.139\", \"bbox\": [55, 67, 76, 76]}, {\"cell\": \"0.175\", \"bbox\": [85, 67, 105, 76]}, {\"cell\": \"(0.080, 0.198)\", \"bbox\": [118, 67, 165, 76]}, {\"cell\": \"33.74\", \"bbox\": [178, 67, 198, 76]}, {\"cell\": \"47\", \"bbox\": [209, 67, 219, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 67, 249, 76]}, {\"cell\": \"Power\", \"bbox\": [1, 78, 23, 87]}, {\"cell\": \"0.038\", \"bbox\": [55, 78, 76, 87]}, {\"cell\": \"0.134\", \"bbox\": [85, 78, 105, 87]}, {\"cell\": \"(−0.055, 0.131)\", \"bbox\": [115, 78, 168, 87]}, {\"cell\": \"43.68\", \"bbox\": [177, 78, 198, 87]}, {\"cell\": \"20\", \"bbox\": [209, 78, 219, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 78, 249, 87]}, {\"cell\": \"<b>CORRELATIONS CORRECTED FOR SAMPLING ERROR ONLY<sup>a</sup></b>\", \"bbox\": [2, 88, 220, 97]}, {\"cell\": \"Overall\", \"bbox\": [1, 100, 26, 109]}, {\"cell\": \"0.095\", \"bbox\": [55, 100, 76, 109]}, {\"cell\": \"0.112\", \"bbox\": [85, 100, 105, 109]}, {\"cell\": \"(0.056, 0.134)\", \"bbox\": [118, 100, 165, 109]}, {\"cell\": \"38.81\", \"bbox\": [177, 100, 198, 109]}, {\"cell\": \"54\", \"bbox\": [209, 100, 219, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 100, 249, 109]}, {\"cell\": \"Affiliation\", \"bbox\": [1, 111, 33, 120]}, {\"cell\": \"0.092\", \"bbox\": [55, 111, 76, 120]}, {\"cell\": \"0.087\", \"bbox\": [85, 111, 106, 120]}, {\"cell\": \"(0.040, 0.144)\", \"bbox\": [118, 111, 165, 120]}, {\"cell\": \"53.93\", \"bbox\": [177, 111, 198, 120]}, {\"cell\": \"35\", \"bbox\": [209, 111, 219, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 111, 249, 120]}, {\"cell\": \"Achievement\", \"bbox\": [1, 122, 46, 131]}, {\"cell\": \"0.110\", \"bbox\": [56, 122, 75, 131]}, {\"cell\": \"0.131\", \"bbox\": [85, 122, 105, 131]}, {\"cell\": \"(0.066, 0.154)\", \"bbox\": [118, 122, 165, 131]}, {\"cell\": \"34.67\", \"bbox\": [177, 122, 198, 131]}, {\"cell\": \"47\", \"bbox\": [209, 122, 219, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 122, 249, 131]}, {\"cell\": \"Power\", \"bbox\": [1, 133, 23, 142]}, {\"cell\": \"0.026\", \"bbox\": [55, 133, 76, 142]}, {\"cell\": \"0.099\", \"bbox\": [85, 133, 106, 142]}, {\"cell\": \"(−0.046, 0.098)\", \"bbox\": [115, 133, 168, 142]}, {\"cell\": \"45.45\", \"bbox\": [177, 133, 198, 142]}, {\"cell\": \"21\", \"bbox\": [209, 133, 219, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 133, 249, 142]}, {\"cell\": \"<b>DESCRIPTIVE STATISTICS FOR UNCORRECTED SINGLE CORRELATIONS</b>\", \"bbox\": [2, 144, 201, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>M</i></b>\", \"bbox\": [60, 173, 70, 180]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [89, 173, 101, 180]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [128, 172, 155, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>K</i><sup>c</sup></b>\", \"bbox\": [209, 171, 219, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overall\", \"bbox\": [1, 191, 26, 200]}, {\"cell\": \"0.073\", \"bbox\": [55, 191, 76, 200]}, {\"cell\": \"0.161\", \"bbox\": [85, 191, 105, 200]}, {\"cell\": \"(0.048, 0.098)\", \"bbox\": [118, 191, 165, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"165\", \"bbox\": [207, 191, 221, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Affiliation\", \"bbox\": [1, 202, 33, 211]}, {\"cell\": \"0.081\", \"bbox\": [55, 202, 76, 211]}, {\"cell\": \"0.175\", \"bbox\": [85, 202, 105, 211]}, {\"cell\": \"(0.032, 0.130)\", \"bbox\": [118, 202, 165, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"51\", \"bbox\": [209, 202, 219, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Achievement\", \"bbox\": [1, 213, 46, 222]}, {\"cell\": \"0.073\", \"bbox\": [55, 213, 76, 222]}, {\"cell\": \"0.155\", \"bbox\": [85, 213, 105, 222]}, {\"cell\": \"(0.039, 0.106)\", \"bbox\": [118, 213, 165, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"86\", \"bbox\": [209, 213, 219, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Power\", \"bbox\": [1, 224, 23, 233]}, {\"cell\": \"0.059\", \"bbox\": [55, 224, 76, 233]}, {\"cell\": \"0.155\", \"bbox\": [85, 224, 105, 233]}, {\"cell\": \"(−0.001, 0.119)\", \"bbox\": [115, 224, 167, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"28\", \"bbox\": [209, 224, 219, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4126572_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}231{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Sr. no.</b></td><td rowspan=\\\"2\\\"><b>Repeat unit and derivatives</b></td><td colspan=\\\"6\\\"><b>Number of TTCCA repeat units and its derivatives per 3564 bp <i>Hae</i>III unit of DYZ1 array</b></td></tr><tr><td><b>MZT1a</b></td><td><b>MZT1b</b></td><td><b>MZT2a</b></td><td><b>MZT2b</b></td><td><b>MZT3a</b></td><td><b>MZT3b</b></td></tr></thead><tbody><tr><td>1</td><td>TTCCA</td><td>[EMPTY_CELL]</td><td><b>226</b></td><td><b>221</b></td><td><b>228</b></td><td><b>184</b></td><td><b>190</b></td></tr><tr><td>2</td><td>1 bp derivatives</td><td>[EMPTY_CELL]</td><td><b>289</b></td><td><b>286</b></td><td><b>295</b></td><td><b>245</b></td><td><b>238</b></td></tr><tr><td>[EMPTY_CELL]</td><td>ATCCA</td><td>[EMPTY_CELL]</td><td>9</td><td>9</td><td>9</td><td>7</td><td>7</td></tr><tr><td>[EMPTY_CELL]</td><td>TACCA</td><td>[EMPTY_CELL]</td><td>3</td><td>3</td><td>3</td><td>2</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>TTACA</td><td>[EMPTY_CELL]</td><td>16</td><td><b>15</b></td><td><b>16</b></td><td><b>12</b></td><td><b>11</b></td></tr><tr><td>[EMPTY_CELL]</td><td>TTCAA</td><td>[EMPTY_CELL]</td><td>21</td><td><b>22</b></td><td><b>23</b></td><td><b>21</b></td><td><b>19</b></td></tr><tr><td>[EMPTY_CELL]</td><td>TTTCA</td><td>[EMPTY_CELL]</td><td>19</td><td><b>18</b></td><td><b>19</b></td><td><b>17</b></td><td><b>15</b></td></tr><tr><td>[EMPTY_CELL]</td><td>TTCTA</td><td>[EMPTY_CELL]</td><td><b>26</b></td><td><b>24</b></td><td><b>25</b></td><td><b>24</b></td><td><b>23</b></td></tr><tr><td>[EMPTY_CELL]</td><td>TTCCT</td><td>[EMPTY_CELL]</td><td>33</td><td><b>34</b></td><td><b>30</b></td><td><b>29</b></td><td><b>27</b></td></tr><tr><td>[EMPTY_CELL]</td><td>GTCCA</td><td>[EMPTY_CELL]</td><td>29</td><td><b>30</b></td><td><b>31</b></td><td>26</td><td>26</td></tr><tr><td>[EMPTY_CELL]</td><td>TGCCA</td><td>[EMPTY_CELL]</td><td><b>9</b></td><td>9</td><td>9</td><td>8</td><td>8</td></tr><tr><td>[EMPTY_CELL]</td><td>TTGCA</td><td>[EMPTY_CELL]</td><td><b>22</b></td><td><b>24</b></td><td><b>25</b></td><td><b>16</b></td><td><b>18</b></td></tr><tr><td>[EMPTY_CELL]</td><td>TTCGA</td><td>[EMPTY_CELL]</td><td>60</td><td><b>55</b></td><td><b>62</b></td><td><b>50</b></td><td><b>51</b></td></tr><tr><td>[EMPTY_CELL]</td><td>TTCCG</td><td>[EMPTY_CELL]</td><td>17</td><td><b>19</b></td><td><b>18</b></td><td>14</td><td>14</td></tr><tr><td>[EMPTY_CELL]</td><td>CTCCA</td><td>[EMPTY_CELL]</td><td>14</td><td><b>12</b></td><td><b>14</b></td><td>10</td><td>10</td></tr><tr><td>[EMPTY_CELL]</td><td>TCCCA</td><td>[EMPTY_CELL]</td><td>4</td><td>4</td><td>4</td><td>2</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>TTCCC</td><td>[EMPTY_CELL]</td><td>7</td><td>8</td><td>7</td><td>7</td><td>5</td></tr><tr><td>3</td><td>2 bp derivatives</td><td>[EMPTY_CELL]</td><td><b>140</b></td><td><b>154</b></td><td><b>139</b></td><td><b>116</b></td><td><b>120</b></td></tr><tr><td>4</td><td>3 bp derivatives</td><td>[EMPTY_CELL]</td><td><b>36</b></td><td><b>32</b></td><td><b>37</b></td><td>28</td><td>28</td></tr><tr><td>5</td><td>4 bp derivatives</td><td>[EMPTY_CELL]</td><td><b>11</b></td><td><b>9</b></td><td><b>8</b></td><td><b>9</b></td><td><b>8</b></td></tr><tr><td>6</td><td>5 bp derivatives</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Sr. no.</b>\", \"bbox\": [1, 4, 24, 13]}, {\"cell\": \"<b>Repeat unit and derivatives</b>\", \"bbox\": [48, 4, 88, 31]}, {\"cell\": \"<b>Number of TTCCA repeat units and its derivatives per 3564 bp <i>Hae</i>III unit of DYZ1 array</b>\", \"bbox\": [144, 4, 452, 13]}, {\"cell\": \"<b>MZT1a</b>\", \"bbox\": [123, 17, 148, 27]}, {\"cell\": \"<b>MZT1b</b>\", \"bbox\": [187, 17, 213, 27]}, {\"cell\": \"<b>MZT2a</b>\", \"bbox\": [252, 17, 278, 27]}, {\"cell\": \"<b>MZT2b</b>\", \"bbox\": [317, 17, 343, 27]}, {\"cell\": \"<b>MZT3a</b>\", \"bbox\": [382, 17, 408, 27]}, {\"cell\": \"<b>MZT3b</b>\", \"bbox\": [447, 17, 473, 27]}, {\"cell\": \"1\", \"bbox\": [10, 35, 15, 44]}, {\"cell\": \"TTCCA\", \"bbox\": [56, 35, 79, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 35, 143, 45]}, {\"cell\": \"<b>226</b>\", \"bbox\": [193, 35, 208, 45]}, {\"cell\": \"<b>221</b>\", \"bbox\": [258, 35, 273, 45]}, {\"cell\": \"<b>228</b>\", \"bbox\": [323, 35, 338, 45]}, {\"cell\": \"<b>184</b>\", \"bbox\": [388, 35, 403, 45]}, {\"cell\": \"<b>190</b>\", \"bbox\": [453, 35, 468, 45]}, {\"cell\": \"2\", \"bbox\": [10, 48, 15, 58]}, {\"cell\": \"1 bp derivatives\", \"bbox\": [41, 48, 94, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 48, 143, 58]}, {\"cell\": \"<b>289</b>\", \"bbox\": [193, 48, 208, 58]}, {\"cell\": \"<b>286</b>\", \"bbox\": [258, 48, 273, 58]}, {\"cell\": \"<b>295</b>\", \"bbox\": [323, 48, 338, 58]}, {\"cell\": \"<b>245</b>\", \"bbox\": [388, 48, 403, 58]}, {\"cell\": \"<b>238</b>\", \"bbox\": [453, 48, 468, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ATCCA\", \"bbox\": [56, 61, 80, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 61, 138, 71]}, {\"cell\": \"9\", \"bbox\": [197, 61, 203, 71]}, {\"cell\": \"9\", \"bbox\": [262, 61, 268, 71]}, {\"cell\": \"9\", \"bbox\": [327, 61, 333, 71]}, {\"cell\": \"7\", \"bbox\": [392, 61, 398, 71]}, {\"cell\": \"7\", \"bbox\": [457, 61, 463, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TACCA\", \"bbox\": [56, 75, 80, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 75, 138, 84]}, {\"cell\": \"3\", \"bbox\": [197, 75, 203, 84]}, {\"cell\": \"3\", \"bbox\": [262, 75, 268, 84]}, {\"cell\": \"3\", \"bbox\": [327, 75, 333, 84]}, {\"cell\": \"2\", \"bbox\": [392, 75, 398, 84]}, {\"cell\": \"2\", \"bbox\": [457, 75, 463, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTACA\", \"bbox\": [56, 88, 79, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 88, 140, 97]}, {\"cell\": \"16\", \"bbox\": [195, 88, 205, 97]}, {\"cell\": \"<b>15</b>\", \"bbox\": [260, 88, 270, 97]}, {\"cell\": \"<b>16</b>\", \"bbox\": [325, 88, 336, 97]}, {\"cell\": \"<b>12</b>\", \"bbox\": [390, 88, 400, 97]}, {\"cell\": \"<b>11</b>\", \"bbox\": [455, 88, 466, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCAA\", \"bbox\": [56, 101, 79, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 101, 140, 110]}, {\"cell\": \"21\", \"bbox\": [195, 101, 205, 110]}, {\"cell\": \"<b>22</b>\", \"bbox\": [260, 101, 270, 110]}, {\"cell\": \"<b>23</b>\", \"bbox\": [325, 101, 336, 110]}, {\"cell\": \"<b>21</b>\", \"bbox\": [390, 101, 400, 110]}, {\"cell\": \"<b>19</b>\", \"bbox\": [455, 101, 466, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTTCA\", \"bbox\": [57, 114, 79, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 114, 140, 123]}, {\"cell\": \"19\", \"bbox\": [195, 114, 205, 123]}, {\"cell\": \"<b>18</b>\", \"bbox\": [260, 114, 270, 123]}, {\"cell\": \"<b>19</b>\", \"bbox\": [325, 114, 336, 123]}, {\"cell\": \"<b>17</b>\", \"bbox\": [390, 114, 400, 123]}, {\"cell\": \"<b>15</b>\", \"bbox\": [455, 114, 466, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCTA\", \"bbox\": [57, 127, 79, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 127, 140, 137]}, {\"cell\": \"<b>26</b>\", \"bbox\": [195, 127, 205, 137]}, {\"cell\": \"<b>24</b>\", \"bbox\": [260, 127, 270, 137]}, {\"cell\": \"<b>25</b>\", \"bbox\": [325, 127, 336, 137]}, {\"cell\": \"<b>24</b>\", \"bbox\": [390, 127, 400, 137]}, {\"cell\": \"<b>23</b>\", \"bbox\": [455, 127, 466, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCCT\", \"bbox\": [57, 140, 79, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 140, 140, 150]}, {\"cell\": \"33\", \"bbox\": [195, 140, 205, 150]}, {\"cell\": \"<b>34</b>\", \"bbox\": [260, 140, 270, 150]}, {\"cell\": \"<b>30</b>\", \"bbox\": [325, 140, 336, 150]}, {\"cell\": \"<b>29</b>\", \"bbox\": [390, 140, 400, 150]}, {\"cell\": \"<b>27</b>\", \"bbox\": [455, 140, 466, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GTCCA\", \"bbox\": [56, 153, 80, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 153, 140, 163]}, {\"cell\": \"29\", \"bbox\": [195, 153, 205, 163]}, {\"cell\": \"<b>30</b>\", \"bbox\": [260, 153, 270, 163]}, {\"cell\": \"<b>31</b>\", \"bbox\": [325, 153, 336, 163]}, {\"cell\": \"26\", \"bbox\": [390, 153, 400, 163]}, {\"cell\": \"26\", \"bbox\": [455, 153, 465, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TGCCA\", \"bbox\": [56, 167, 80, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 167, 140, 176]}, {\"cell\": \"<b>9</b>\", \"bbox\": [197, 167, 203, 176]}, {\"cell\": \"9\", \"bbox\": [262, 167, 268, 176]}, {\"cell\": \"9\", \"bbox\": [327, 167, 333, 176]}, {\"cell\": \"8\", \"bbox\": [392, 167, 398, 176]}, {\"cell\": \"8\", \"bbox\": [457, 167, 463, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTGCA\", \"bbox\": [56, 180, 80, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 180, 140, 189]}, {\"cell\": \"<b>22</b>\", \"bbox\": [195, 180, 205, 189]}, {\"cell\": \"<b>24</b>\", \"bbox\": [260, 180, 270, 189]}, {\"cell\": \"<b>25</b>\", \"bbox\": [325, 180, 336, 189]}, {\"cell\": \"<b>16</b>\", \"bbox\": [390, 180, 400, 189]}, {\"cell\": \"<b>18</b>\", \"bbox\": [455, 180, 466, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCGA\", \"bbox\": [56, 193, 80, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 193, 140, 202]}, {\"cell\": \"60\", \"bbox\": [195, 193, 205, 202]}, {\"cell\": \"<b>55</b>\", \"bbox\": [260, 193, 270, 202]}, {\"cell\": \"<b>62</b>\", \"bbox\": [325, 193, 336, 202]}, {\"cell\": \"<b>50</b>\", \"bbox\": [390, 193, 400, 202]}, {\"cell\": \"<b>51</b>\", \"bbox\": [455, 193, 466, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCCG\", \"bbox\": [56, 206, 80, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 206, 140, 215]}, {\"cell\": \"17\", \"bbox\": [195, 206, 205, 215]}, {\"cell\": \"<b>19</b>\", \"bbox\": [260, 206, 270, 215]}, {\"cell\": \"<b>18</b>\", \"bbox\": [325, 206, 336, 215]}, {\"cell\": \"14\", \"bbox\": [390, 206, 400, 215]}, {\"cell\": \"14\", \"bbox\": [455, 206, 465, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTCCA\", \"bbox\": [56, 219, 80, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 219, 140, 228]}, {\"cell\": \"14\", \"bbox\": [195, 219, 205, 228]}, {\"cell\": \"<b>12</b>\", \"bbox\": [260, 219, 270, 229]}, {\"cell\": \"<b>14</b>\", \"bbox\": [325, 219, 336, 229]}, {\"cell\": \"10\", \"bbox\": [390, 219, 400, 228]}, {\"cell\": \"10\", \"bbox\": [455, 219, 465, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TCCCA\", \"bbox\": [56, 232, 80, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 232, 138, 242]}, {\"cell\": \"4\", \"bbox\": [197, 232, 203, 242]}, {\"cell\": \"4\", \"bbox\": [262, 232, 268, 242]}, {\"cell\": \"4\", \"bbox\": [327, 232, 333, 242]}, {\"cell\": \"2\", \"bbox\": [392, 232, 398, 242]}, {\"cell\": \"2\", \"bbox\": [457, 232, 463, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TTCCC\", \"bbox\": [57, 246, 79, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 246, 138, 255]}, {\"cell\": \"7\", \"bbox\": [197, 246, 203, 255]}, {\"cell\": \"8\", \"bbox\": [262, 246, 268, 255]}, {\"cell\": \"7\", \"bbox\": [327, 246, 333, 255]}, {\"cell\": \"7\", \"bbox\": [392, 246, 398, 255]}, {\"cell\": \"5\", \"bbox\": [457, 246, 463, 255]}, {\"cell\": \"3\", \"bbox\": [10, 259, 15, 268]}, {\"cell\": \"2 bp derivatives\", \"bbox\": [41, 259, 94, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 259, 143, 268]}, {\"cell\": \"<b>140</b>\", \"bbox\": [193, 259, 208, 268]}, {\"cell\": \"<b>154</b>\", \"bbox\": [258, 259, 273, 268]}, {\"cell\": \"<b>139</b>\", \"bbox\": [323, 259, 338, 268]}, {\"cell\": \"<b>116</b>\", \"bbox\": [388, 259, 403, 268]}, {\"cell\": \"<b>120</b>\", \"bbox\": [453, 259, 468, 268]}, {\"cell\": \"4\", \"bbox\": [10, 272, 15, 281]}, {\"cell\": \"3 bp derivatives\", \"bbox\": [41, 272, 94, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 272, 140, 281]}, {\"cell\": \"<b>36</b>\", \"bbox\": [195, 272, 205, 281]}, {\"cell\": \"<b>32</b>\", \"bbox\": [260, 272, 270, 281]}, {\"cell\": \"<b>37</b>\", \"bbox\": [325, 272, 336, 281]}, {\"cell\": \"28\", \"bbox\": [390, 272, 400, 281]}, {\"cell\": \"28\", \"bbox\": [455, 272, 465, 281]}, {\"cell\": \"5\", \"bbox\": [10, 285, 15, 294]}, {\"cell\": \"4 bp derivatives\", \"bbox\": [41, 285, 94, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 285, 138, 294]}, {\"cell\": \"<b>11</b>\", \"bbox\": [195, 285, 205, 294]}, {\"cell\": \"<b>9</b>\", \"bbox\": [262, 285, 268, 294]}, {\"cell\": \"<b>8</b>\", \"bbox\": [327, 285, 333, 294]}, {\"cell\": \"<b>9</b>\", \"bbox\": [392, 285, 398, 294]}, {\"cell\": \"<b>8</b>\", \"bbox\": [457, 285, 463, 294]}, {\"cell\": \"6\", \"bbox\": [10, 298, 15, 307]}, {\"cell\": \"5 bp derivatives\", \"bbox\": [41, 298, 94, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 298, 138, 307]}, {\"cell\": \"1\", \"bbox\": [197, 298, 203, 307]}, {\"cell\": \"1\", \"bbox\": [262, 298, 268, 307]}, {\"cell\": \"1\", \"bbox\": [327, 298, 333, 307]}, {\"cell\": \"1\", \"bbox\": [392, 298, 398, 307]}, {\"cell\": \"1\", \"bbox\": [457, 298, 463, 307]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3925983_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}232{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Clinical measure</b></td><td><b>Group</b></td><td><b>Mean</b></td><td><b>Standard deviation</b></td><td><b>Mean duplicate CV</b></td></tr></thead><tbody><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>SED</td><td>0.82</td><td>0.13</td><td rowspan=\\\"3\\\">0.06</td></tr><tr><td>[EMPTY_CELL]</td><td>0.88</td><td>0.15</td></tr><tr><td>[EMPTY_CELL]</td><td>0.93</td><td>0.12</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>SED</td><td>1.27</td><td>0.27</td><td rowspan=\\\"3\\\">0.03</td></tr><tr><td>[EMPTY_CELL]</td><td>1.55</td><td>0.34</td></tr><tr><td>[EMPTY_CELL]</td><td>1.08<sup>∗</sup></td><td>0.32</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>SED</td><td>5.65</td><td>1.66</td><td rowspan=\\\"3\\\">0.04</td></tr><tr><td>[EMPTY_CELL]</td><td>6.35</td><td>2.65</td></tr><tr><td>[EMPTY_CELL]</td><td>4.11<sup>∗</sup></td><td>2.04</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>SED</td><td>3.22</td><td>0.47</td><td rowspan=\\\"3\\\">NA</td></tr><tr><td>[EMPTY_CELL]</td><td>3.71</td><td>0.61</td></tr><tr><td>[EMPTY_CELL]</td><td>2.83<sup>∗</sup></td><td>0.73</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>SED</td><td>1.07</td><td>0.51</td><td rowspan=\\\"3\\\">0.04</td></tr><tr><td>[EMPTY_CELL]</td><td>2.06</td><td>1.79</td></tr><tr><td>[EMPTY_CELL]</td><td>2.11</td><td>1.26</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>SED</td><td>26.23</td><td>3.84</td><td rowspan=\\\"3\\\">0.04</td></tr><tr><td>[EMPTY_CELL]</td><td>29.88</td><td>6.42</td></tr><tr><td>[EMPTY_CELL]</td><td>35.24<sup>†</sup></td><td>6.08</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>SED</td><td>1.57</td><td>0.09</td><td rowspan=\\\"3\\\">NA</td></tr><tr><td>[EMPTY_CELL]</td><td>1.59</td><td>0.12</td></tr><tr><td>[EMPTY_CELL]</td><td>1.46<sup>†</sup></td><td>0.08</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>SED</td><td>0.0050</td><td>0.0003</td><td rowspan=\\\"3\\\">NA</td></tr><tr><td>[EMPTY_CELL]</td><td>0.0050</td><td>0.0003</td></tr><tr><td>[EMPTY_CELL]</td><td>0.0047<sup>†</sup></td><td>0.0002</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Clinical measure</b>\", \"bbox\": [2, 4, 35, 25]}, {\"cell\": \"<b>Group</b>\", \"bbox\": [59, 8, 85, 19]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [93, 8, 115, 19]}, {\"cell\": \"<b>Standard deviation</b>\", \"bbox\": [128, 4, 164, 25]}, {\"cell\": \"<b>Mean duplicate CV</b>\", \"bbox\": [179, 4, 236, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 39, 58, 50]}, {\"cell\": \"SED\", \"bbox\": [63, 27, 81, 38]}, {\"cell\": \"0.82\", \"bbox\": [95, 27, 112, 38]}, {\"cell\": \"0.13\", \"bbox\": [138, 28, 154, 39]}, {\"cell\": \"0.06\", \"bbox\": [199, 39, 216, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 40, 80, 51]}, {\"cell\": \"0.88\", \"bbox\": [95, 40, 112, 51]}, {\"cell\": \"0.15\", \"bbox\": [138, 41, 154, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 54, 82, 64]}, {\"cell\": \"0.93\", \"bbox\": [95, 54, 112, 64]}, {\"cell\": \"0.12\", \"bbox\": [138, 54, 154, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 80, 55, 90]}, {\"cell\": \"SED\", \"bbox\": [63, 67, 81, 78]}, {\"cell\": \"1.27\", \"bbox\": [96, 67, 112, 78]}, {\"cell\": \"0.27\", \"bbox\": [138, 68, 155, 79]}, {\"cell\": \"0.03\", \"bbox\": [199, 80, 216, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 81, 80, 91]}, {\"cell\": \"1.55\", \"bbox\": [96, 81, 111, 91]}, {\"cell\": \"0.34\", \"bbox\": [138, 81, 155, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 94, 82, 105]}, {\"cell\": \"1.08<sup>∗</sup>\", \"bbox\": [94, 90, 113, 105]}, {\"cell\": \"0.32\", \"bbox\": [138, 95, 155, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 120, 57, 130]}, {\"cell\": \"SED\", \"bbox\": [63, 108, 81, 118]}, {\"cell\": \"5.65\", \"bbox\": [96, 108, 112, 118]}, {\"cell\": \"1.66\", \"bbox\": [138, 108, 154, 119]}, {\"cell\": \"0.04\", \"bbox\": [199, 120, 216, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 121, 80, 131]}, {\"cell\": \"6.35\", \"bbox\": [96, 121, 112, 131]}, {\"cell\": \"2.65\", \"bbox\": [138, 122, 155, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 134, 82, 145]}, {\"cell\": \"4.11<sup>∗</sup>\", \"bbox\": [94, 130, 113, 145]}, {\"cell\": \"2.04\", \"bbox\": [138, 135, 155, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 155, 37, 176]}, {\"cell\": \"SED\", \"bbox\": [63, 148, 81, 158]}, {\"cell\": \"3.22\", \"bbox\": [96, 148, 112, 158]}, {\"cell\": \"0.47\", \"bbox\": [138, 148, 155, 159]}, {\"cell\": \"NA\", \"bbox\": [199, 160, 213, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 161, 80, 172]}, {\"cell\": \"3.71\", \"bbox\": [96, 161, 112, 172]}, {\"cell\": \"0.61\", \"bbox\": [138, 162, 154, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 174, 82, 185]}, {\"cell\": \"2.83<sup>∗</sup>\", \"bbox\": [94, 170, 114, 185]}, {\"cell\": \"0.73\", \"bbox\": [138, 175, 155, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 195, 42, 218]}, {\"cell\": \"SED\", \"bbox\": [63, 188, 81, 199]}, {\"cell\": \"1.07\", \"bbox\": [96, 188, 112, 199]}, {\"cell\": \"0.51\", \"bbox\": [138, 189, 154, 199]}, {\"cell\": \"0.04\", \"bbox\": [199, 200, 216, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 201, 80, 212]}, {\"cell\": \"2.06\", \"bbox\": [95, 201, 112, 212]}, {\"cell\": \"1.79\", \"bbox\": [138, 202, 154, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 214, 82, 225]}, {\"cell\": \"2.11\", \"bbox\": [97, 214, 111, 225]}, {\"cell\": \"1.26\", \"bbox\": [138, 215, 154, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 240, 56, 251]}, {\"cell\": \"SED\", \"bbox\": [63, 228, 81, 239]}, {\"cell\": \"26.23\", \"bbox\": [93, 228, 114, 239]}, {\"cell\": \"3.84\", \"bbox\": [138, 229, 155, 239]}, {\"cell\": \"0.04\", \"bbox\": [199, 240, 216, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 241, 80, 252]}, {\"cell\": \"29.88\", \"bbox\": [93, 241, 114, 252]}, {\"cell\": \"6.42\", \"bbox\": [138, 242, 155, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 255, 82, 265]}, {\"cell\": \"35.24<sup>†</sup>\", \"bbox\": [92, 251, 115, 265]}, {\"cell\": \"6.08\", \"bbox\": [138, 255, 155, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 275, 56, 296]}, {\"cell\": \"SED\", \"bbox\": [63, 268, 81, 279]}, {\"cell\": \"1.57\", \"bbox\": [96, 268, 112, 279]}, {\"cell\": \"0.09\", \"bbox\": [138, 269, 155, 280]}, {\"cell\": \"NA\", \"bbox\": [199, 280, 213, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 281, 80, 292]}, {\"cell\": \"1.59\", \"bbox\": [96, 281, 112, 292]}, {\"cell\": \"0.12\", \"bbox\": [138, 282, 154, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 295, 82, 305]}, {\"cell\": \"1.46<sup>†</sup>\", \"bbox\": [94, 291, 113, 305]}, {\"cell\": \"0.08\", \"bbox\": [138, 295, 155, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 321, 55, 331]}, {\"cell\": \"SED\", \"bbox\": [63, 308, 81, 319]}, {\"cell\": \"0.0050\", \"bbox\": [91, 308, 117, 319]}, {\"cell\": \"0.0003\", \"bbox\": [133, 309, 159, 320]}, {\"cell\": \"NA\", \"bbox\": [199, 321, 213, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 322, 80, 332]}, {\"cell\": \"0.0050\", \"bbox\": [91, 322, 117, 332]}, {\"cell\": \"0.0003\", \"bbox\": [133, 322, 159, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [62, 335, 82, 346]}, {\"cell\": \"0.0047<sup>†</sup>\", \"bbox\": [89, 331, 118, 346]}, {\"cell\": \"0.0002\", \"bbox\": [133, 336, 159, 346]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4458272_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}233{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Rank</b></td><td><b>Radiality</b></td><td><b>Betweenness</b></td><td><b>Degree</b></td><td><b>Stress</b></td><td><b>Eigen Vector</b></td><td><b>Bridging</b></td></tr></thead><tbody><tr><td>1</td><td>NUMB</td><td>NUMB</td><td>[EMPTY_CELL]</td><td>NUMB</td><td>RLF</td><td>PRKCB</td></tr><tr><td>2</td><td>ITGB5</td><td>ITGB5</td><td>[EMPTY_CELL]</td><td>GSK3B</td><td>ITGA2</td><td>APP</td></tr><tr><td>3</td><td>PRKCB</td><td>GSK3B</td><td>[EMPTY_CELL]</td><td>ITGB5</td><td>AP1M1</td><td>DPYSL2</td></tr><tr><td>4</td><td>SCN5A</td><td>PRKCB</td><td>[EMPTY_CELL]</td><td>PRKCB</td><td>PEG3</td><td>NOTCH1</td></tr><tr><td>5</td><td>APP</td><td>MKI67</td><td>[EMPTY_CELL]</td><td>MKI67</td><td>ITGB5</td><td>CREB3</td></tr><tr><td>6</td><td>ITGB3</td><td>DLG2</td><td>[EMPTY_CELL]</td><td>APP</td><td>FN1</td><td>MDM2</td></tr><tr><td>7</td><td>RLF</td><td>APP</td><td>[EMPTY_CELL]</td><td>DLG2</td><td>SCN5A</td><td>PRKCA</td></tr><tr><td>8</td><td>AP1M1</td><td>SCN5A</td><td>[EMPTY_CELL]</td><td>BTRC</td><td>ATM</td><td>PRKAR2A</td></tr><tr><td>9</td><td>ITGA2</td><td>APPBP2</td><td>[EMPTY_CELL]</td><td>SCN5A</td><td>ADRA1B</td><td>DLG4</td></tr><tr><td>10</td><td>FN1</td><td>BTRC</td><td>[EMPTY_CELL]</td><td>CBX5</td><td>AGA</td><td>ATP2B4</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Rank</b>\", \"bbox\": [10, 5, 34, 16]}, {\"cell\": \"<b>Radiality</b>\", \"bbox\": [55, 5, 95, 16]}, {\"cell\": \"<b>Betweenness</b>\", \"bbox\": [111, 5, 167, 16]}, {\"cell\": \"<b>Degree</b>\", \"bbox\": [185, 5, 217, 16]}, {\"cell\": \"<b>Stress</b>\", \"bbox\": [251, 5, 277, 16]}, {\"cell\": \"<b>Eigen Vector</b>\", \"bbox\": [308, 5, 361, 16]}, {\"cell\": \"<b>Bridging</b>\", \"bbox\": [382, 5, 421, 16]}, {\"cell\": \"1\", \"bbox\": [19, 21, 26, 32]}, {\"cell\": \"NUMB\", \"bbox\": [59, 21, 90, 32]}, {\"cell\": \"NUMB\", \"bbox\": [123, 21, 153, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 21, 210, 32]}, {\"cell\": \"NUMB\", \"bbox\": [249, 21, 279, 32]}, {\"cell\": \"RLF\", \"bbox\": [325, 21, 344, 32]}, {\"cell\": \"PRKCB\", \"bbox\": [385, 21, 417, 32]}, {\"cell\": \"2\", \"bbox\": [19, 32, 26, 43]}, {\"cell\": \"ITGB5\", \"bbox\": [61, 32, 88, 43]}, {\"cell\": \"ITGB5\", \"bbox\": [124, 32, 151, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [187, 32, 215, 43]}, {\"cell\": \"GSK3B\", \"bbox\": [249, 32, 279, 43]}, {\"cell\": \"ITGA2\", \"bbox\": [320, 32, 349, 43]}, {\"cell\": \"APP\", \"bbox\": [391, 32, 411, 43]}, {\"cell\": \"3\", \"bbox\": [19, 43, 26, 54]}, {\"cell\": \"PRKCB\", \"bbox\": [59, 43, 91, 54]}, {\"cell\": \"GSK3B\", \"bbox\": [123, 43, 153, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 43, 217, 54]}, {\"cell\": \"ITGB5\", \"bbox\": [251, 43, 278, 54]}, {\"cell\": \"AP1M1\", \"bbox\": [319, 43, 350, 54]}, {\"cell\": \"DPYSL2\", \"bbox\": [384, 43, 419, 54]}, {\"cell\": \"4\", \"bbox\": [19, 54, 26, 65]}, {\"cell\": \"SCN5A\", \"bbox\": [59, 54, 91, 65]}, {\"cell\": \"PRKCB\", \"bbox\": [122, 54, 154, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 54, 213, 65]}, {\"cell\": \"PRKCB\", \"bbox\": [248, 54, 280, 65]}, {\"cell\": \"PEG3\", \"bbox\": [322, 54, 347, 65]}, {\"cell\": \"NOTCH1\", \"bbox\": [381, 54, 421, 65]}, {\"cell\": \"5\", \"bbox\": [19, 65, 26, 76]}, {\"cell\": \"APP\", \"bbox\": [65, 65, 85, 76]}, {\"cell\": \"MKI67\", \"bbox\": [123, 65, 152, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 65, 212, 76]}, {\"cell\": \"MKI67\", \"bbox\": [250, 65, 279, 76]}, {\"cell\": \"ITGB5\", \"bbox\": [321, 65, 348, 76]}, {\"cell\": \"CREB3\", \"bbox\": [386, 65, 416, 76]}, {\"cell\": \"6\", \"bbox\": [19, 76, 26, 87]}, {\"cell\": \"ITGB3\", \"bbox\": [61, 76, 88, 87]}, {\"cell\": \"DLG2\", \"bbox\": [125, 76, 151, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 76, 210, 87]}, {\"cell\": \"APP\", \"bbox\": [254, 76, 274, 87]}, {\"cell\": \"FN1\", \"bbox\": [325, 76, 344, 87]}, {\"cell\": \"MDM2\", \"bbox\": [386, 76, 417, 87]}, {\"cell\": \"7\", \"bbox\": [19, 87, 26, 98]}, {\"cell\": \"RLF\", \"bbox\": [65, 87, 84, 98]}, {\"cell\": \"APP\", \"bbox\": [128, 87, 148, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [187, 87, 215, 98]}, {\"cell\": \"DLG2\", \"bbox\": [251, 87, 277, 98]}, {\"cell\": \"SCN5A\", \"bbox\": [319, 87, 351, 98]}, {\"cell\": \"PRKCA\", \"bbox\": [385, 87, 418, 98]}, {\"cell\": \"8\", \"bbox\": [19, 98, 26, 109]}, {\"cell\": \"AP1M1\", \"bbox\": [59, 98, 91, 109]}, {\"cell\": \"SCN5A\", \"bbox\": [122, 98, 154, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 98, 217, 109]}, {\"cell\": \"BTRC\", \"bbox\": [252, 98, 277, 109]}, {\"cell\": \"ATM\", \"bbox\": [323, 98, 346, 109]}, {\"cell\": \"PRKAR2A\", \"bbox\": [379, 98, 423, 109]}, {\"cell\": \"9\", \"bbox\": [19, 109, 26, 120]}, {\"cell\": \"ITGA2\", \"bbox\": [60, 109, 89, 120]}, {\"cell\": \"APPBP2\", \"bbox\": [120, 109, 155, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 109, 220, 120]}, {\"cell\": \"SCN5A\", \"bbox\": [248, 109, 280, 120]}, {\"cell\": \"ADRA1B\", \"bbox\": [315, 109, 354, 120]}, {\"cell\": \"DLG4\", \"bbox\": [388, 109, 414, 120]}, {\"cell\": \"10\", \"bbox\": [17, 120, 28, 131]}, {\"cell\": \"FN1\", \"bbox\": [65, 120, 84, 131]}, {\"cell\": \"BTRC\", \"bbox\": [125, 120, 150, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 120, 212, 131]}, {\"cell\": \"CBX5\", \"bbox\": [252, 120, 276, 131]}, {\"cell\": \"AGA\", \"bbox\": [323, 120, 346, 131]}, {\"cell\": \"ATP2B4\", \"bbox\": [384, 120, 418, 131]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5486014_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}234{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>No.</b></td><td><b>Material name</b></td><td><b>Part of usage</b></td><td><b>Percentage of components in formula (W/W)<sup>a</sup></b></td><td><b>% yields (W/W)<sup>a</sup></b></td><td><b>DPPH assay IC<sub>30</sub> value (μg/mL)</b></td></tr></thead><tbody><tr><td>1</td><td>L-ascorbic acid</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>Piperine</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>Gallic acid</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>STF formula</td><td>-</td><td>-</td><td>19.78</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>1,7, 7 – trimethylbicyclo (2.2.1) heptan −2- one (analytical camphor)</td><td>crystal</td><td>1.40</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>6</td><td><i>Acorus calamus</i> L.</td><td>root</td><td>8.80</td><td>1.73</td><td>[EMPTY_CELL]</td></tr><tr><td>7</td><td><i>Anethum graveolens</i> L<i>.</i></td><td>seed</td><td>1.00</td><td>2.82</td><td>[EMPTY_CELL]</td></tr><tr><td>8</td><td><i>Atractylodes lancea</i> (Thunb.) DC.</td><td>root</td><td>0.50</td><td>6.83</td><td>[EMPTY_CELL]</td></tr><tr><td>9</td><td><i>Baliospermum solanifolium</i> (Burm.) Suresh</td><td>root</td><td>8.00</td><td>0.74</td><td>[EMPTY_CELL]</td></tr><tr><td>10</td><td><i>Clausena excavate</i> Burm.f.</td><td>stem</td><td>4.80</td><td>2.30</td><td>[EMPTY_CELL]</td></tr><tr><td>11</td><td><i>Cuminium cyminum</i> L.</td><td>seed</td><td>0.80</td><td>6.26</td><td>[EMPTY_CELL]</td></tr><tr><td>12</td><td><i>Ferula assa-foetida Regel</i></td><td>gum</td><td>1.00</td><td>27.89</td><td>[EMPTY_CELL]</td></tr><tr><td>13</td><td><i>Lepidium sativum</i> L.</td><td>seed</td><td>1.10</td><td>7.83</td><td>[EMPTY_CELL]</td></tr><tr><td>14</td><td><i>Merremia vitifolia</i> (Burm.f.) Hallier.f.</td><td>stem</td><td>0.80</td><td>1.49</td><td>[EMPTY_CELL]</td></tr><tr><td>15</td><td><i>Myristica fragrans</i> Houtt.</td><td>fruit</td><td>1.30</td><td>1.01</td><td>[EMPTY_CELL]</td></tr><tr><td>16</td><td><i>Myristica fragrans</i> Houtt.</td><td>mace</td><td>1.20</td><td>2.02</td><td>[EMPTY_CELL]</td></tr><tr><td>17</td><td><i>Nigella sativa</i> L.</td><td>seed</td><td>0.70</td><td>9.21</td><td>[EMPTY_CELL]</td></tr><tr><td>18</td><td><i>Pistacia chinensis subsp. integerrima (J. L. Stewart ex Brandis) Rech. f. Lagasca.</i></td><td>root</td><td>0.60</td><td>11.09</td><td>[EMPTY_CELL]</td></tr><tr><td>19</td><td><i>Picrorhiza kurroa</i> Royle ex Benth.</td><td>root</td><td>0.40</td><td>7.70</td><td>[EMPTY_CELL]</td></tr><tr><td>20</td><td><i>Pimpinella anisum</i> L.</td><td>seed</td><td>0.90</td><td>5.40</td><td>[EMPTY_CELL]</td></tr><tr><td>21</td><td><i>Piper nigrum</i> L.</td><td>fruit</td><td>24.00</td><td>0.03</td><td>[EMPTY_CELL]</td></tr><tr><td>22</td><td><i>Piper retrofractum</i> Vahl.</td><td>fruit</td><td>9.60</td><td>6.03</td><td>[EMPTY_CELL]</td></tr><tr><td>23</td><td><i>Plumbago indica</i> L.</td><td>root</td><td>22.40</td><td>2.30</td><td>[EMPTY_CELL]</td></tr><tr><td>24</td><td><i>Terminalia chebula</i> Retz.</td><td>fruit</td><td>10.40</td><td>28.29</td><td>[EMPTY_CELL]</td></tr><tr><td>25</td><td><i>Terminalia chebula</i> Retz.</td><td>gall</td><td>0.30</td><td>8.83</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>No.</b>\", \"bbox\": [1, 4, 13, 13]}, {\"cell\": \"<b>Material name</b>\", \"bbox\": [32, 4, 80, 13]}, {\"cell\": \"<b>Part of usage</b>\", \"bbox\": [188, 4, 232, 13]}, {\"cell\": \"<b>Percentage of components in formula (W/W)<sup>a</sup></b>\", \"bbox\": [251, 4, 340, 22]}, {\"cell\": \"<b>% yields (W/W)<sup>a</sup></b>\", \"bbox\": [359, 2, 412, 13]}, {\"cell\": \"<b>DPPH assay IC<sub>30</sub> value (μg/mL)</b>\", \"bbox\": [431, 4, 484, 22]}, {\"cell\": \"1\", \"bbox\": [1, 26, 6, 36]}, {\"cell\": \"L-ascorbic acid\", \"bbox\": [32, 26, 81, 36]}, {\"cell\": \"-\", \"bbox\": [188, 26, 192, 36]}, {\"cell\": \"-\", \"bbox\": [251, 26, 255, 36]}, {\"cell\": \"-\", \"bbox\": [359, 26, 364, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 26, 467, 36]}, {\"cell\": \"2\", \"bbox\": [1, 40, 6, 50]}, {\"cell\": \"Piperine\", \"bbox\": [32, 40, 60, 50]}, {\"cell\": \"-\", \"bbox\": [188, 40, 192, 50]}, {\"cell\": \"-\", \"bbox\": [251, 40, 255, 50]}, {\"cell\": \"-\", \"bbox\": [359, 40, 364, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 40, 449, 50]}, {\"cell\": \"3\", \"bbox\": [1, 54, 6, 64]}, {\"cell\": \"Gallic acid\", \"bbox\": [32, 54, 66, 64]}, {\"cell\": \"-\", \"bbox\": [188, 54, 192, 64]}, {\"cell\": \"-\", \"bbox\": [251, 54, 255, 64]}, {\"cell\": \"-\", \"bbox\": [359, 54, 364, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 54, 467, 64]}, {\"cell\": \"4\", \"bbox\": [1, 68, 6, 78]}, {\"cell\": \"STF formula\", \"bbox\": [32, 68, 72, 78]}, {\"cell\": \"-\", \"bbox\": [188, 68, 192, 78]}, {\"cell\": \"-\", \"bbox\": [251, 68, 255, 78]}, {\"cell\": \"19.78\", \"bbox\": [359, 68, 378, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 68, 470, 78]}, {\"cell\": \"5\", \"bbox\": [1, 82, 6, 92]}, {\"cell\": \"1,7, 7 – trimethylbicyclo (2.2.1) heptan −2- one (analytical camphor)\", \"bbox\": [32, 82, 169, 101]}, {\"cell\": \"crystal\", \"bbox\": [188, 82, 210, 92]}, {\"cell\": \"1.40\", \"bbox\": [251, 82, 266, 92]}, {\"cell\": \"-\", \"bbox\": [359, 82, 364, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 82, 449, 92]}, {\"cell\": \"6\", \"bbox\": [1, 105, 6, 115]}, {\"cell\": \"<i>Acorus calamus</i> L.\", \"bbox\": [32, 105, 90, 115]}, {\"cell\": \"root\", \"bbox\": [188, 105, 203, 115]}, {\"cell\": \"8.80\", \"bbox\": [251, 105, 266, 115]}, {\"cell\": \"1.73\", \"bbox\": [359, 105, 374, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 105, 449, 115]}, {\"cell\": \"7\", \"bbox\": [1, 119, 6, 129]}, {\"cell\": \"<i>Anethum graveolens</i> L<i>.</i>\", \"bbox\": [32, 119, 105, 129]}, {\"cell\": \"seed\", \"bbox\": [188, 119, 205, 129]}, {\"cell\": \"1.00\", \"bbox\": [251, 119, 266, 129]}, {\"cell\": \"2.82\", \"bbox\": [359, 119, 374, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 119, 449, 129]}, {\"cell\": \"8\", \"bbox\": [1, 133, 6, 143]}, {\"cell\": \"<i>Atractylodes lancea</i> (Thunb.) DC.\", \"bbox\": [32, 133, 136, 143]}, {\"cell\": \"root\", \"bbox\": [188, 133, 203, 143]}, {\"cell\": \"0.50\", \"bbox\": [251, 133, 266, 143]}, {\"cell\": \"6.83\", \"bbox\": [359, 133, 374, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 133, 449, 143]}, {\"cell\": \"9\", \"bbox\": [1, 147, 6, 157]}, {\"cell\": \"<i>Baliospermum solanifolium</i> (Burm.) Suresh\", \"bbox\": [32, 147, 166, 157]}, {\"cell\": \"root\", \"bbox\": [188, 147, 203, 157]}, {\"cell\": \"8.00\", \"bbox\": [251, 147, 266, 157]}, {\"cell\": \"0.74\", \"bbox\": [359, 147, 374, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 147, 474, 157]}, {\"cell\": \"10\", \"bbox\": [1, 161, 10, 171]}, {\"cell\": \"<i>Clausena excavate</i> Burm.f.\", \"bbox\": [32, 161, 115, 171]}, {\"cell\": \"stem\", \"bbox\": [188, 161, 206, 171]}, {\"cell\": \"4.80\", \"bbox\": [251, 161, 266, 171]}, {\"cell\": \"2.30\", \"bbox\": [359, 161, 374, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 161, 470, 171]}, {\"cell\": \"11\", \"bbox\": [1, 175, 10, 185]}, {\"cell\": \"<i>Cuminium cyminum</i> L.\", \"bbox\": [32, 175, 104, 185]}, {\"cell\": \"seed\", \"bbox\": [188, 175, 205, 185]}, {\"cell\": \"0.80\", \"bbox\": [251, 175, 266, 185]}, {\"cell\": \"6.26\", \"bbox\": [359, 175, 374, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 175, 474, 185]}, {\"cell\": \"12\", \"bbox\": [1, 189, 10, 199]}, {\"cell\": \"<i>Ferula assa-foetida Regel</i>\", \"bbox\": [32, 189, 110, 199]}, {\"cell\": \"gum\", \"bbox\": [188, 189, 205, 199]}, {\"cell\": \"1.00\", \"bbox\": [251, 189, 266, 199]}, {\"cell\": \"27.89\", \"bbox\": [359, 189, 378, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 189, 449, 199]}, {\"cell\": \"13\", \"bbox\": [1, 203, 10, 213]}, {\"cell\": \"<i>Lepidium sativum</i> L.\", \"bbox\": [32, 203, 96, 213]}, {\"cell\": \"seed\", \"bbox\": [188, 203, 205, 213]}, {\"cell\": \"1.10\", \"bbox\": [251, 203, 266, 213]}, {\"cell\": \"7.83\", \"bbox\": [359, 203, 374, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 203, 470, 213]}, {\"cell\": \"14\", \"bbox\": [1, 217, 10, 227]}, {\"cell\": \"<i>Merremia vitifolia</i> (Burm.f.) Hallier.f.\", \"bbox\": [32, 217, 142, 227]}, {\"cell\": \"stem\", \"bbox\": [188, 217, 206, 227]}, {\"cell\": \"0.80\", \"bbox\": [251, 217, 266, 227]}, {\"cell\": \"1.49\", \"bbox\": [359, 217, 374, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 217, 470, 227]}, {\"cell\": \"15\", \"bbox\": [1, 231, 10, 241]}, {\"cell\": \"<i>Myristica fragrans</i> Houtt.\", \"bbox\": [32, 231, 110, 241]}, {\"cell\": \"fruit\", \"bbox\": [188, 231, 203, 241]}, {\"cell\": \"1.30\", \"bbox\": [251, 231, 266, 241]}, {\"cell\": \"1.01\", \"bbox\": [359, 231, 374, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 231, 470, 241]}, {\"cell\": \"16\", \"bbox\": [1, 245, 10, 255]}, {\"cell\": \"<i>Myristica fragrans</i> Houtt.\", \"bbox\": [32, 245, 110, 255]}, {\"cell\": \"mace\", \"bbox\": [188, 245, 207, 255]}, {\"cell\": \"1.20\", \"bbox\": [251, 245, 266, 255]}, {\"cell\": \"2.02\", \"bbox\": [359, 245, 374, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 245, 470, 255]}, {\"cell\": \"17\", \"bbox\": [1, 259, 10, 269]}, {\"cell\": \"<i>Nigella sativa</i> L.\", \"bbox\": [32, 259, 82, 269]}, {\"cell\": \"seed\", \"bbox\": [188, 259, 205, 269]}, {\"cell\": \"0.70\", \"bbox\": [251, 259, 266, 269]}, {\"cell\": \"9.21\", \"bbox\": [359, 259, 374, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 259, 449, 269]}, {\"cell\": \"18\", \"bbox\": [1, 273, 10, 283]}, {\"cell\": \"<i>Pistacia chinensis subsp. integerrima (J. L. Stewart ex Brandis) Rech. f. Lagasca.</i>\", \"bbox\": [32, 273, 162, 292]}, {\"cell\": \"root\", \"bbox\": [188, 273, 203, 283]}, {\"cell\": \"0.60\", \"bbox\": [251, 273, 266, 283]}, {\"cell\": \"11.09\", \"bbox\": [359, 273, 378, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 273, 470, 283]}, {\"cell\": \"19\", \"bbox\": [1, 296, 10, 306]}, {\"cell\": \"<i>Picrorhiza kurroa</i> Royle ex Benth.\", \"bbox\": [32, 296, 137, 306]}, {\"cell\": \"root\", \"bbox\": [188, 296, 203, 306]}, {\"cell\": \"0.40\", \"bbox\": [251, 296, 266, 306]}, {\"cell\": \"7.70\", \"bbox\": [359, 296, 374, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 296, 470, 306]}, {\"cell\": \"20\", \"bbox\": [1, 310, 10, 320]}, {\"cell\": \"<i>Pimpinella anisum</i> L.\", \"bbox\": [32, 310, 98, 320]}, {\"cell\": \"seed\", \"bbox\": [188, 310, 205, 320]}, {\"cell\": \"0.90\", \"bbox\": [251, 310, 266, 320]}, {\"cell\": \"5.40\", \"bbox\": [359, 310, 374, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 310, 470, 320]}, {\"cell\": \"21\", \"bbox\": [1, 324, 10, 334]}, {\"cell\": \"<i>Piper nigrum</i> L.\", \"bbox\": [32, 324, 81, 334]}, {\"cell\": \"fruit\", \"bbox\": [188, 324, 203, 334]}, {\"cell\": \"24.00\", \"bbox\": [251, 324, 270, 334]}, {\"cell\": \"0.03\", \"bbox\": [359, 324, 374, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 324, 449, 334]}, {\"cell\": \"22\", \"bbox\": [1, 338, 10, 348]}, {\"cell\": \"<i>Piper retrofractum</i> Vahl.\", \"bbox\": [32, 338, 107, 348]}, {\"cell\": \"fruit\", \"bbox\": [188, 338, 203, 348]}, {\"cell\": \"9.60\", \"bbox\": [251, 338, 266, 348]}, {\"cell\": \"6.03\", \"bbox\": [359, 338, 374, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 338, 449, 348]}, {\"cell\": \"23\", \"bbox\": [1, 352, 10, 362]}, {\"cell\": \"<i>Plumbago indica</i> L.\", \"bbox\": [32, 352, 94, 362]}, {\"cell\": \"root\", \"bbox\": [188, 352, 203, 362]}, {\"cell\": \"22.40\", \"bbox\": [251, 352, 270, 362]}, {\"cell\": \"2.30\", \"bbox\": [359, 352, 374, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 352, 470, 362]}, {\"cell\": \"24\", \"bbox\": [1, 366, 10, 376]}, {\"cell\": \"<i>Terminalia chebula</i> Retz.\", \"bbox\": [32, 366, 110, 376]}, {\"cell\": \"fruit\", \"bbox\": [188, 366, 203, 376]}, {\"cell\": \"10.40\", \"bbox\": [251, 366, 270, 376]}, {\"cell\": \"28.29\", \"bbox\": [359, 366, 378, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 366, 467, 376]}, {\"cell\": \"25\", \"bbox\": [1, 380, 10, 390]}, {\"cell\": \"<i>Terminalia chebula</i> Retz.\", \"bbox\": [32, 380, 110, 390]}, {\"cell\": \"gall\", \"bbox\": [188, 380, 201, 390]}, {\"cell\": \"0.30\", \"bbox\": [251, 380, 266, 390]}, {\"cell\": \"8.83\", \"bbox\": [359, 380, 374, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 380, 467, 390]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5223377_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}235{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b><i>ECG abnormalities</i></b></td><td><b><i>HIVpositive on HAART, n (%)</i></b></td><td><b><i>HIVpositive HAART naïve, n (%)</i></b></td><td><b><i>Control, n (%)</i></b></td><td><b><i>χ<sup>2</sup></i></b></td><td><b><i>p-value</i></b></td></tr></thead><tbody><tr><td>LAD</td><td>[EMPTY_CELL]</td><td>10 (13.7)</td><td>8 (21)</td><td>2.656</td><td>0.265</td></tr><tr><td>T wave inversion in leads V1 –V3</td><td>[EMPTY_CELL]</td><td>22 (30.4)</td><td>14 (36.8)</td><td>24.682</td><td>< 0.001</td></tr><tr><td>Low QRS voltage complex</td><td>[EMPTY_CELL]</td><td>0 (0)</td><td>0 (0)</td><td>2.007</td><td>0.367</td></tr><tr><td>1st-degree heart block</td><td>[EMPTY_CELL]</td><td>1 (1.4)</td><td>2 (5.3)</td><td>1.020</td><td>0.600</td></tr><tr><td>T-wave inversion in leads II, III, aVF (inferior leads)</td><td>[EMPTY_CELL]</td><td>1 (1.4)</td><td>6 (15.8)</td><td>4.811</td><td>0.090</td></tr><tr><td>VEB</td><td>[EMPTY_CELL]</td><td>1 (1.4)</td><td>0 (0)</td><td>2.007</td><td>0.367</td></tr><tr><td>T-wave inversion in leads I, aVL,V5–V6 (lateral leads)</td><td>[EMPTY_CELL]</td><td>2 (2.7)</td><td>2 (5.3)</td><td>2.027</td><td>0.363</td></tr><tr><td>LBBB</td><td>[EMPTY_CELL]</td><td>0 (0)</td><td>0 (0)</td><td>2.007</td><td>0.367</td></tr><tr><td>RBBB</td><td>[EMPTY_CELL]</td><td>0 (0)</td><td>2 (5.3)</td><td>2.020</td><td>0.364</td></tr><tr><td>LVH</td><td>[EMPTY_CELL]</td><td>8 (11)</td><td>0 (0)</td><td>16.438</td><td>< 0.001</td></tr><tr><td>Sinus tachycardia</td><td>[EMPTY_CELL]</td><td>14 (19.2)</td><td>0 (0)</td><td>2.020</td><td>0.364</td></tr><tr><td>ST-segment elevation</td><td>[EMPTY_CELL]</td><td>2 (2.7)</td><td>0 (0)</td><td>4.027</td><td>0.134</td></tr><tr><td>Sinus bradycardia</td><td>[EMPTY_CELL]</td><td>0 (0)</td><td>2 (5.3)</td><td>25.000</td><td>< 0.001</td></tr><tr><td>Mean QTc ± SD</td><td>[EMPTY_CELL]</td><td>0.41 ± 0.04</td><td>0.39 ± 0.03</td><td>*15.779</td><td>< 0.001</td></tr><tr><td>Prolonged QTc</td><td>[EMPTY_CELL]</td><td>12 (16.4)</td><td>4 (10.5)</td><td>8.784</td><td>0.012</td></tr><tr><td>Total</td><td>[EMPTY_CELL]</td><td>73 (100)</td><td>38 (100)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>ECG abnormalities</i></b>\", \"bbox\": [1, 35, 58, 44]}, {\"cell\": \"<b><i>HIVpositive on HAART, n (%)</i></b>\", \"bbox\": [73, 11, 106, 44]}, {\"cell\": \"<b><i>HIVpositive HAART naïve, n (%)</i></b>\", \"bbox\": [115, 3, 143, 44]}, {\"cell\": \"<b><i>Control, n (%)</i></b>\", \"bbox\": [156, 27, 182, 44]}, {\"cell\": \"<b><i>χ<sup>2</sup></i></b>\", \"bbox\": [200, 35, 208, 44]}, {\"cell\": \"<b><i>p-value</i></b>\", \"bbox\": [222, 35, 245, 44]}, {\"cell\": \"LAD\", \"bbox\": [1, 46, 18, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [78, 46, 100, 55]}, {\"cell\": \"10 (13.7)\", \"bbox\": [115, 46, 143, 55]}, {\"cell\": \"8 (21)\", \"bbox\": [159, 46, 178, 55]}, {\"cell\": \"2.656\", \"bbox\": [198, 46, 216, 55]}, {\"cell\": \"0.265\", \"bbox\": [227, 46, 245, 55]}, {\"cell\": \"T wave inversion in leads V1 –V3\", \"bbox\": [1, 57, 59, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [78, 57, 100, 65]}, {\"cell\": \"22 (30.4)\", \"bbox\": [115, 57, 143, 65]}, {\"cell\": \"14 (36.8)\", \"bbox\": [155, 57, 183, 65]}, {\"cell\": \"24.682\", \"bbox\": [195, 57, 216, 65]}, {\"cell\": \"< 0.001\", \"bbox\": [222, 57, 245, 66]}, {\"cell\": \"Low QRS voltage complex\", \"bbox\": [1, 75, 55, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 75, 100, 84]}, {\"cell\": \"0 (0)\", \"bbox\": [121, 75, 137, 84]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 75, 176, 84]}, {\"cell\": \"2.007\", \"bbox\": [198, 75, 216, 84]}, {\"cell\": \"0.367\", \"bbox\": [227, 75, 245, 84]}, {\"cell\": \"1st-degree heart block\", \"bbox\": [1, 94, 67, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 94, 100, 103]}, {\"cell\": \"1 (1.4)\", \"bbox\": [119, 94, 139, 103]}, {\"cell\": \"2 (5.3)\", \"bbox\": [158, 94, 179, 103]}, {\"cell\": \"1.020\", \"bbox\": [198, 94, 216, 103]}, {\"cell\": \"0.600\", \"bbox\": [227, 94, 245, 103]}, {\"cell\": \"T-wave inversion in leads II, III, aVF (inferior leads)\", \"bbox\": [1, 105, 59, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 105, 100, 113]}, {\"cell\": \"1 (1.4)\", \"bbox\": [119, 105, 139, 113]}, {\"cell\": \"6 (15.8)\", \"bbox\": [157, 105, 181, 113]}, {\"cell\": \"4.811\", \"bbox\": [198, 105, 216, 113]}, {\"cell\": \"0.090\", \"bbox\": [227, 105, 245, 113]}, {\"cell\": \"VEB\", \"bbox\": [1, 131, 17, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 131, 100, 140]}, {\"cell\": \"1 (1.4)\", \"bbox\": [119, 131, 139, 140]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 131, 176, 140]}, {\"cell\": \"2.007\", \"bbox\": [198, 131, 216, 140]}, {\"cell\": \"0.367\", \"bbox\": [227, 131, 245, 140]}, {\"cell\": \"T-wave inversion in leads I, aVL,V5–V6 (lateral leads)\", \"bbox\": [1, 142, 61, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 142, 97, 151]}, {\"cell\": \"2 (2.7)\", \"bbox\": [119, 142, 139, 151]}, {\"cell\": \"2 (5.3)\", \"bbox\": [158, 142, 179, 151]}, {\"cell\": \"2.027\", \"bbox\": [198, 142, 216, 151]}, {\"cell\": \"0.363\", \"bbox\": [227, 142, 245, 151]}, {\"cell\": \"LBBB\", \"bbox\": [1, 169, 21, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 169, 100, 177]}, {\"cell\": \"0 (0)\", \"bbox\": [121, 169, 137, 177]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 169, 176, 177]}, {\"cell\": \"2.007\", \"bbox\": [198, 169, 216, 177]}, {\"cell\": \"0.367\", \"bbox\": [227, 169, 245, 177]}, {\"cell\": \"RBBB\", \"bbox\": [1, 180, 22, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 180, 100, 188]}, {\"cell\": \"0 (0)\", \"bbox\": [121, 180, 137, 188]}, {\"cell\": \"2 (5.3)\", \"bbox\": [158, 180, 179, 188]}, {\"cell\": \"2.020\", \"bbox\": [198, 180, 216, 188]}, {\"cell\": \"0.364\", \"bbox\": [227, 180, 245, 188]}, {\"cell\": \"LVH\", \"bbox\": [1, 190, 17, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 190, 97, 199]}, {\"cell\": \"8 (11)\", \"bbox\": [120, 190, 138, 199]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 190, 176, 199]}, {\"cell\": \"16.438\", \"bbox\": [195, 190, 216, 199]}, {\"cell\": \"< 0.001\", \"bbox\": [222, 190, 245, 199]}, {\"cell\": \"Sinus tachycardia\", \"bbox\": [1, 201, 54, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 201, 99, 210]}, {\"cell\": \"14 (19.2)\", \"bbox\": [115, 201, 143, 210]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 201, 176, 210]}, {\"cell\": \"2.020\", \"bbox\": [198, 201, 216, 210]}, {\"cell\": \"0.364\", \"bbox\": [227, 201, 245, 210]}, {\"cell\": \"ST-segment elevation\", \"bbox\": [1, 212, 65, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 212, 97, 220]}, {\"cell\": \"2 (2.7)\", \"bbox\": [119, 212, 139, 220]}, {\"cell\": \"0 (0)\", \"bbox\": [161, 212, 176, 220]}, {\"cell\": \"4.027\", \"bbox\": [198, 212, 216, 220]}, {\"cell\": \"0.134\", \"bbox\": [227, 212, 245, 220]}, {\"cell\": \"Sinus bradycardia\", \"bbox\": [1, 222, 55, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [82, 222, 97, 231]}, {\"cell\": \"0 (0)\", \"bbox\": [121, 222, 137, 231]}, {\"cell\": \"2 (5.3)\", \"bbox\": [158, 222, 179, 231]}, {\"cell\": \"25.000\", \"bbox\": [195, 222, 216, 231]}, {\"cell\": \"< 0.001\", \"bbox\": [222, 223, 245, 231]}, {\"cell\": \"Mean QTc ± SD\", \"bbox\": [1, 234, 51, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 234, 106, 242]}, {\"cell\": \"0.41 ± 0.04\", \"bbox\": [112, 234, 146, 242]}, {\"cell\": \"0.39 ± 0.03\", \"bbox\": [152, 234, 186, 242]}, {\"cell\": \"*15.779\", \"bbox\": [191, 233, 216, 242]}, {\"cell\": \"< 0.001\", \"bbox\": [222, 234, 245, 242]}, {\"cell\": \"Prolonged QTc\", \"bbox\": [1, 244, 47, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [76, 244, 103, 253]}, {\"cell\": \"12 (16.4)\", \"bbox\": [115, 244, 143, 253]}, {\"cell\": \"4 (10.5)\", \"bbox\": [157, 244, 181, 253]}, {\"cell\": \"8.784\", \"bbox\": [198, 244, 216, 253]}, {\"cell\": \"0.012\", \"bbox\": [227, 244, 245, 253]}, {\"cell\": \"Total\", \"bbox\": [1, 255, 18, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 255, 102, 263]}, {\"cell\": \"73 (100)\", \"bbox\": [116, 255, 142, 263]}, {\"cell\": \"38 (100)\", \"bbox\": [156, 255, 182, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5340894_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}236{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Physician only follow-up</b></td><td><b>Supplemental nursing follow-up</b></td><td><b>P-value</b></td></tr></thead><tbody><tr><td><b>2005</b></td><td><b>1,223</b></td><td><b>801</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Age (years, mean ± SD)</td><td>59.8 ± 9.0</td><td>62.1 ± 8.3</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender (% men)</td><td>47.3%</td><td>50.1%</td><td>[EMPTY_CELL]</td></tr><tr><td>Low SES (%)</td><td>33.5%</td><td>43.6%</td><td>[EMPTY_CELL]</td></tr><tr><td>Immigrant (%)</td><td>40.1%</td><td>31.5%</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI (Kg/m<sup>2</sup>,mean ± SD)</td><td>29.7 ± 5.2</td><td>30.1 ± 5.6</td><td>[EMPTY_CELL]</td></tr><tr><td>At least one additional chronic disease (%)</td><td>78.6%</td><td>83.7%</td><td>[EMPTY_CELL]</td></tr><tr><td><b>2006</b></td><td><b>1,172</b></td><td><b>852</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Age (years, mean ± SD)</td><td>59.8 ± 8.8</td><td>62.0 ± 8.6</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender (%men)</td><td>48.1%</td><td>48.8%</td><td>[EMPTY_CELL]</td></tr><tr><td>Low SES (%)</td><td>33.0%</td><td>43.8%</td><td>[EMPTY_CELL]</td></tr><tr><td>Immigrant (%)</td><td>38.6%</td><td>33.9%</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI (Kg/m<sup>2</sup>mean ± SD)</td><td>29.8 ± 5.3</td><td>30.0 ± 5.4</td><td>[EMPTY_CELL]</td></tr><tr><td>At least one additional chronic disease (%)</td><td>78.8%</td><td>83.1%</td><td>[EMPTY_CELL]</td></tr><tr><td><b>2007</b></td><td><b>1,019</b></td><td><b>1,005</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Age (years, mean ± SD)</td><td>59.2 ± 8.6</td><td>62.2 ± 8.7</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender (% men)</td><td>47.4%</td><td>49.4%</td><td>[EMPTY_CELL]</td></tr><tr><td>Low SES (%)</td><td>33.2%</td><td>42.0%</td><td>[EMPTY_CELL]</td></tr><tr><td>Immigrant (%)</td><td>41.4%</td><td>31.8%</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI (Kg/m<sup>2</sup>mean ± SD)</td><td>30.0 ± 5.5</td><td>29.8 ± 5.2</td><td>[EMPTY_CELL]</td></tr><tr><td>At least one additional chronic disease (%)</td><td>78.6%</td><td>82.6%</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Complete 3 years follow-up</b></td><td><b>1,616 (79.8%)</b></td><td><b>408 (20.2%)</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Age (years, mean ± SD)</td><td>60.0 ± 8.8</td><td>63.6 ± 8.2</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender (% men)</td><td>52.6%</td><td>49.3%</td><td>[EMPTY_CELL]</td></tr><tr><td>Low SES (%)</td><td>35.0%</td><td>47.8%</td><td>[EMPTY_CELL]</td></tr><tr><td>Immigrant (%)</td><td>38.7</td><td>28.6%</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI BMI (Kg/m<sup>2</sup>mean ± SD)</td><td>29.8 ± 5.4</td><td>30.1 ± 5.3</td><td>[EMPTY_CELL]</td></tr><tr><td>At least one additional chronic disease (%)</td><td>78.1%</td><td>86.3%</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Physician only follow-up</b>\", \"bbox\": [67, 4, 119, 22]}, {\"cell\": \"<b>Supplemental nursing follow-up</b>\", \"bbox\": [123, 4, 201, 22]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [205, 4, 233, 13]}, {\"cell\": \"<b>2005</b>\", \"bbox\": [1, 26, 19, 36]}, {\"cell\": \"<b>1,223</b>\", \"bbox\": [67, 26, 88, 36]}, {\"cell\": \"<b>801</b>\", \"bbox\": [123, 26, 137, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years, mean ± SD)\", \"bbox\": [1, 40, 39, 59]}, {\"cell\": \"59.8 ± 9.0\", \"bbox\": [67, 40, 99, 50]}, {\"cell\": \"62.1 ± 8.3\", \"bbox\": [123, 40, 154, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 40, 229, 50]}, {\"cell\": \"Gender (% men)\", \"bbox\": [1, 63, 55, 73]}, {\"cell\": \"47.3%\", \"bbox\": [67, 63, 88, 73]}, {\"cell\": \"50.1%\", \"bbox\": [123, 63, 143, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 63, 224, 73]}, {\"cell\": \"Low SES (%)\", \"bbox\": [1, 77, 42, 87]}, {\"cell\": \"33.5%\", \"bbox\": [67, 77, 88, 87]}, {\"cell\": \"43.6%\", \"bbox\": [123, 77, 143, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 77, 229, 87]}, {\"cell\": \"Immigrant (%)\", \"bbox\": [1, 91, 48, 101]}, {\"cell\": \"40.1%\", \"bbox\": [67, 91, 88, 101]}, {\"cell\": \"31.5%\", \"bbox\": [123, 91, 143, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 91, 229, 101]}, {\"cell\": \"BMI (Kg/m<sup>2</sup>,mean ± SD)\", \"bbox\": [1, 103, 40, 124]}, {\"cell\": \"29.7 ± 5.2\", \"bbox\": [67, 105, 99, 115]}, {\"cell\": \"30.1 ± 5.6\", \"bbox\": [123, 105, 154, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 105, 224, 115]}, {\"cell\": \"At least one additional chronic disease (%)\", \"bbox\": [1, 128, 60, 156]}, {\"cell\": \"78.6%\", \"bbox\": [67, 128, 88, 138]}, {\"cell\": \"83.7%\", \"bbox\": [123, 128, 143, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 128, 229, 138]}, {\"cell\": \"<b>2006</b>\", \"bbox\": [1, 160, 19, 170]}, {\"cell\": \"<b>1,172</b>\", \"bbox\": [67, 160, 88, 170]}, {\"cell\": \"<b>852</b>\", \"bbox\": [123, 160, 137, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years, mean ± SD)\", \"bbox\": [1, 174, 39, 193]}, {\"cell\": \"59.8 ± 8.8\", \"bbox\": [67, 174, 99, 184]}, {\"cell\": \"62.0 ± 8.6\", \"bbox\": [123, 174, 154, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 174, 229, 184]}, {\"cell\": \"Gender (%men)\", \"bbox\": [1, 197, 53, 207]}, {\"cell\": \"48.1%\", \"bbox\": [67, 197, 88, 207]}, {\"cell\": \"48.8%\", \"bbox\": [123, 197, 143, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 197, 224, 207]}, {\"cell\": \"Low SES (%)\", \"bbox\": [1, 211, 42, 221]}, {\"cell\": \"33.0%\", \"bbox\": [67, 211, 88, 221]}, {\"cell\": \"43.8%\", \"bbox\": [123, 211, 143, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 211, 229, 221]}, {\"cell\": \"Immigrant (%)\", \"bbox\": [1, 225, 48, 235]}, {\"cell\": \"38.6%\", \"bbox\": [67, 225, 88, 235]}, {\"cell\": \"33.9%\", \"bbox\": [123, 225, 143, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 225, 224, 235]}, {\"cell\": \"BMI (Kg/m<sup>2</sup>mean ± SD)\", \"bbox\": [1, 237, 39, 258]}, {\"cell\": \"29.8 ± 5.3\", \"bbox\": [67, 239, 99, 249]}, {\"cell\": \"30.0 ± 5.4\", \"bbox\": [123, 239, 154, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 239, 224, 249]}, {\"cell\": \"At least one additional chronic disease (%)\", \"bbox\": [1, 262, 60, 290]}, {\"cell\": \"78.8%\", \"bbox\": [67, 262, 88, 272]}, {\"cell\": \"83.1%\", \"bbox\": [123, 262, 143, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 262, 224, 272]}, {\"cell\": \"<b>2007</b>\", \"bbox\": [1, 294, 19, 304]}, {\"cell\": \"<b>1,019</b>\", \"bbox\": [67, 294, 88, 304]}, {\"cell\": \"<b>1,005</b>\", \"bbox\": [123, 294, 144, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years, mean ± SD)\", \"bbox\": [1, 308, 58, 327]}, {\"cell\": \"59.2 ± 8.6\", \"bbox\": [67, 308, 99, 318]}, {\"cell\": \"62.2 ± 8.7\", \"bbox\": [123, 308, 154, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 308, 229, 318]}, {\"cell\": \"Gender (% men)\", \"bbox\": [1, 331, 55, 341]}, {\"cell\": \"47.4%\", \"bbox\": [67, 331, 88, 341]}, {\"cell\": \"49.4%\", \"bbox\": [123, 331, 143, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 331, 224, 341]}, {\"cell\": \"Low SES (%)\", \"bbox\": [1, 345, 42, 355]}, {\"cell\": \"33.2%\", \"bbox\": [67, 345, 88, 355]}, {\"cell\": \"42.0%\", \"bbox\": [123, 345, 143, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 345, 229, 355]}, {\"cell\": \"Immigrant (%)\", \"bbox\": [1, 359, 48, 369]}, {\"cell\": \"41.4%\", \"bbox\": [67, 359, 88, 369]}, {\"cell\": \"31.8%\", \"bbox\": [123, 359, 143, 369]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 359, 229, 369]}, {\"cell\": \"BMI (Kg/m<sup>2</sup>mean ± SD)\", \"bbox\": [1, 371, 39, 392]}, {\"cell\": \"30.0 ± 5.5\", \"bbox\": [67, 373, 99, 383]}, {\"cell\": \"29.8 ± 5.2\", \"bbox\": [123, 373, 154, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 373, 224, 383]}, {\"cell\": \"At least one additional chronic disease (%)\", \"bbox\": [1, 396, 60, 424]}, {\"cell\": \"78.6%\", \"bbox\": [67, 396, 88, 406]}, {\"cell\": \"82.6%\", \"bbox\": [123, 396, 143, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 396, 229, 406]}, {\"cell\": \"<b>Complete 3 years follow-up</b>\", \"bbox\": [1, 428, 63, 447]}, {\"cell\": \"<b>1,616 (79.8%)</b>\", \"bbox\": [67, 428, 116, 438]}, {\"cell\": \"<b>408 (20.2%)</b>\", \"bbox\": [123, 428, 166, 438]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years, mean ± SD)\", \"bbox\": [1, 451, 39, 470]}, {\"cell\": \"60.0 ± 8.8\", \"bbox\": [67, 451, 99, 461]}, {\"cell\": \"63.6 ± 8.2\", \"bbox\": [123, 451, 154, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 451, 229, 461]}, {\"cell\": \"Gender (% men)\", \"bbox\": [1, 474, 55, 484]}, {\"cell\": \"52.6%\", \"bbox\": [67, 474, 88, 484]}, {\"cell\": \"49.3%\", \"bbox\": [123, 474, 143, 484]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 474, 224, 484]}, {\"cell\": \"Low SES (%)\", \"bbox\": [1, 488, 42, 498]}, {\"cell\": \"35.0%\", \"bbox\": [67, 488, 88, 498]}, {\"cell\": \"47.8%\", \"bbox\": [123, 488, 143, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 488, 229, 498]}, {\"cell\": \"Immigrant (%)\", \"bbox\": [1, 502, 48, 512]}, {\"cell\": \"38.7\", \"bbox\": [67, 502, 82, 512]}, {\"cell\": \"28.6%\", \"bbox\": [123, 502, 143, 512]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 502, 229, 512]}, {\"cell\": \"BMI BMI (Kg/m<sup>2</sup>mean ± SD)\", \"bbox\": [1, 514, 53, 535]}, {\"cell\": \"29.8 ± 5.4\", \"bbox\": [67, 516, 99, 526]}, {\"cell\": \"30.1 ± 5.3\", \"bbox\": [123, 516, 154, 526]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 516, 224, 526]}, {\"cell\": \"At least one additional chronic disease (%)\", \"bbox\": [1, 539, 60, 567]}, {\"cell\": \"78.1%\", \"bbox\": [67, 539, 88, 549]}, {\"cell\": \"86.3%\", \"bbox\": [123, 539, 143, 549]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 539, 229, 549]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4150555_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}237{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Inferior vena cava thrombus</b></td><td><b>Right atrium thrombus</b></td></tr><tr><td><b>Surgical duration (minutes)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>349 ± 30 (288 to 377)</td><td>608 ± 169 (449 to 911)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>950 ± 100 (750 to 1,520)</td><td>6540 ± 5404 (1,050 to 35,820)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2/5</td><td>5/1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8.8 ± 3.1 (8 to 13)</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>-</td><td>32.2 ± 18.3 (4 to 54)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3/4</td><td>2/4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>-</td><td>1.7 ± 0.8 (0–2)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>23.6 ± 12.5 (14 to 48)</td><td>21.2 ± 4.6 (16 to 28)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (ascites, 1; biloma, 1)/5</td><td>2 (ARF, 1; Af, 1)/4</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Inferior vena cava thrombus</b>\", \"bbox\": [192, 4, 292, 13]}, {\"cell\": \"<b>Right atrium thrombus</b>\", \"bbox\": [387, 4, 469, 13]}, {\"cell\": \"<b>Surgical duration (minutes)</b>\", \"bbox\": [0, 17, 97, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 30, 75, 40]}, {\"cell\": \"349 ± 30 (288 to 377)\", \"bbox\": [192, 30, 264, 40]}, {\"cell\": \"608 ± 169 (449 to 911)\", \"bbox\": [387, 30, 463, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 44, 50, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 58, 80, 68]}, {\"cell\": \"950 ± 100 (750 to 1,520)\", \"bbox\": [192, 58, 272, 68]}, {\"cell\": \"6540 ± 5404 (1,050 to 35,820)\", \"bbox\": [387, 58, 484, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 72, 58, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 86, 36, 96]}, {\"cell\": \"2/5\", \"bbox\": [192, 86, 204, 96]}, {\"cell\": \"5/1\", \"bbox\": [387, 86, 400, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 64, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 114, 75, 124]}, {\"cell\": \"8.8 ± 3.1 (8 to 13)\", \"bbox\": [192, 114, 251, 124]}, {\"cell\": \"-\", \"bbox\": [387, 114, 392, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 64, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 142, 75, 152]}, {\"cell\": \"-\", \"bbox\": [192, 142, 196, 152]}, {\"cell\": \"32.2 ± 18.3 (4 to 54)\", \"bbox\": [387, 142, 454, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 60, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 170, 36, 180]}, {\"cell\": \"3/4\", \"bbox\": [192, 170, 204, 180]}, {\"cell\": \"2/4\", \"bbox\": [387, 170, 400, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 49, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 198, 75, 208]}, {\"cell\": \"-\", \"bbox\": [192, 198, 196, 208]}, {\"cell\": \"1.7 ± 0.8 (0–2)\", \"bbox\": [387, 198, 435, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 64, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 226, 75, 236]}, {\"cell\": \"23.6 ± 12.5 (14 to 48)\", \"bbox\": [192, 226, 262, 236]}, {\"cell\": \"21.2 ± 4.6 (16 to 28)\", \"bbox\": [387, 226, 454, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 48, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 254, 36, 264]}, {\"cell\": \"2 (ascites, 1; biloma, 1)/5\", \"bbox\": [192, 254, 272, 264]}, {\"cell\": \"2 (ARF, 1; Af, 1)/4\", \"bbox\": [387, 254, 444, 264]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3851861_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}238{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Period</b></td><td colspan=\\\"2\\\"><b>1990–1993</b></td><td colspan=\\\"2\\\"><b>1994–1997</b></td><td colspan=\\\"2\\\"><b>1998–2001</b></td><td colspan=\\\"2\\\"><b>2002–2005</b></td><td colspan=\\\"2\\\"><b>2006–2009</b></td></tr><tr><td><b>Microorganism</b></td><td><b>No. of patients</b></td><td><b>Percent</b></td><td><b>No. of patients</b></td><td><b>Percent</b></td><td><b>No. of patients</b></td><td><b>Percent</b></td><td><b>No. of patients</b></td><td><b>Percent</b></td><td><b>No. of patients</b></td><td><b>Percent</b></td></tr></thead><tbody><tr><td><i>Stapylococcus aureus</i></td><td>27</td><td>47</td><td>38</td><td>46</td><td>35</td><td>[EMPTY_CELL]</td><td>74</td><td>53.5</td><td>136</td><td>51.5</td></tr><tr><td>Coagulase-negative staphylococcus</td><td>15</td><td>26</td><td>26</td><td>32</td><td>28</td><td>[EMPTY_CELL]</td><td>51</td><td>37</td><td>78</td><td>29.5</td></tr><tr><td>Beta-hemolytic streptococcus</td><td>4</td><td>7</td><td>8</td><td>10</td><td>6</td><td>[EMPTY_CELL]</td><td>8</td><td>6</td><td>21</td><td>8</td></tr><tr><td>Non-hemolytic streptococcus</td><td>2</td><td>3.5</td><td>2</td><td>2.5</td><td>1</td><td>[EMPTY_CELL]</td><td>2</td><td>1.5</td><td>4</td><td>1.5</td></tr><tr><td><i>Enterococcus</i> species</td><td>11</td><td>19</td><td>10</td><td>12</td><td>10</td><td>[EMPTY_CELL]</td><td>33</td><td>24</td><td>58</td><td>22</td></tr><tr><td><i>Corynebacterium</i> species</td><td>5</td><td>9</td><td>9</td><td>11</td><td>13</td><td>[EMPTY_CELL]</td><td>9</td><td>6.5</td><td>23</td><td>85</td></tr><tr><td><i>E. coli</i></td><td>2</td><td>3.5</td><td>7</td><td>8.5</td><td>10</td><td>[EMPTY_CELL]</td><td>7</td><td>5</td><td>24</td><td>9</td></tr><tr><td><i>Enterobacter</i> species</td><td>6</td><td>10.5</td><td>1</td><td>1</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>20</td><td>7.5</td></tr><tr><td>Other Enterobactericeae</td><td>10</td><td>17.5</td><td>14</td><td>17</td><td>9</td><td>[EMPTY_CELL]</td><td>41</td><td>30</td><td>48</td><td>18</td></tr><tr><td>Anaerobic bacteria</td><td>3</td><td>5</td><td>7</td><td>8.5</td><td>6</td><td>[EMPTY_CELL]</td><td>21</td><td>15</td><td>36</td><td>13.5</td></tr><tr><td><i>Candida</i> species</td><td>0</td><td>0</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>2</td><td>1</td></tr><tr><td>Other types</td><td>8</td><td>14</td><td>7</td><td>8.5</td><td>8</td><td>[EMPTY_CELL]</td><td>16</td><td>11.5</td><td>45</td><td>17</td></tr><tr><td>Total</td><td>93</td><td>[EMPTY_CELL]</td><td>129</td><td>[EMPTY_CELL]</td><td>127</td><td>[EMPTY_CELL]</td><td>270</td><td>[EMPTY_CELL]</td><td>495</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Period</b>\", \"bbox\": [3, 14, 28, 24]}, {\"cell\": \"<b>1990–1993</b>\", \"bbox\": [141, 14, 184, 24]}, {\"cell\": \"<b>1994–1997</b>\", \"bbox\": [218, 14, 261, 24]}, {\"cell\": \"<b>1998–2001</b>\", \"bbox\": [296, 14, 339, 24]}, {\"cell\": \"<b>2002–2005</b>\", \"bbox\": [379, 14, 422, 24]}, {\"cell\": \"<b>2006–2009</b>\", \"bbox\": [453, 14, 496, 24]}, {\"cell\": \"<b>Microorganism</b>\", \"bbox\": [3, 32, 58, 42]}, {\"cell\": \"<b>No. of patients</b>\", \"bbox\": [131, 23, 161, 42]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [164, 23, 193, 33]}, {\"cell\": \"<b>No. of patients</b>\", \"bbox\": [208, 23, 238, 42]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [242, 23, 271, 33]}, {\"cell\": \"<b>No. of patients</b>\", \"bbox\": [285, 23, 315, 42]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [319, 23, 348, 33]}, {\"cell\": \"<b>No. of patients</b>\", \"bbox\": [368, 23, 398, 42]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [400, 23, 429, 33]}, {\"cell\": \"<b>No. of patients</b>\", \"bbox\": [442, 23, 472, 42]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [476, 23, 505, 33]}, {\"cell\": \"<i>Stapylococcus aureus</i>\", \"bbox\": [3, 50, 83, 60]}, {\"cell\": \"27\", \"bbox\": [142, 50, 152, 60]}, {\"cell\": \"47\", \"bbox\": [168, 50, 178, 60]}, {\"cell\": \"38\", \"bbox\": [219, 50, 229, 60]}, {\"cell\": \"46\", \"bbox\": [247, 50, 257, 60]}, {\"cell\": \"35\", \"bbox\": [296, 50, 306, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 50, 336, 60]}, {\"cell\": \"74\", \"bbox\": [379, 50, 389, 60]}, {\"cell\": \"53.5\", \"bbox\": [405, 50, 422, 60]}, {\"cell\": \"136\", \"bbox\": [451, 50, 466, 60]}, {\"cell\": \"51.5\", \"bbox\": [482, 50, 499, 60]}, {\"cell\": \"Coagulase-negative staphylococcus\", \"bbox\": [3, 59, 133, 69]}, {\"cell\": \"15\", \"bbox\": [142, 59, 152, 69]}, {\"cell\": \"26\", \"bbox\": [168, 59, 178, 69]}, {\"cell\": \"26\", \"bbox\": [219, 59, 229, 69]}, {\"cell\": \"32\", \"bbox\": [247, 59, 257, 69]}, {\"cell\": \"28\", \"bbox\": [296, 59, 306, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 59, 336, 69]}, {\"cell\": \"51\", \"bbox\": [379, 59, 389, 69]}, {\"cell\": \"37\", \"bbox\": [405, 59, 415, 69]}, {\"cell\": \"78\", \"bbox\": [456, 59, 466, 69]}, {\"cell\": \"29.5\", \"bbox\": [482, 59, 499, 69]}, {\"cell\": \"Beta-hemolytic streptococcus\", \"bbox\": [3, 68, 110, 78]}, {\"cell\": \"4\", \"bbox\": [146, 68, 152, 78]}, {\"cell\": \"7\", \"bbox\": [172, 68, 178, 78]}, {\"cell\": \"8\", \"bbox\": [223, 68, 229, 78]}, {\"cell\": \"10\", \"bbox\": [247, 68, 257, 78]}, {\"cell\": \"6\", \"bbox\": [300, 68, 306, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 68, 343, 78]}, {\"cell\": \"8\", \"bbox\": [383, 68, 389, 78]}, {\"cell\": \"6\", \"bbox\": [409, 68, 415, 78]}, {\"cell\": \"21\", \"bbox\": [456, 68, 466, 78]}, {\"cell\": \"8\", \"bbox\": [486, 68, 492, 78]}, {\"cell\": \"Non-hemolytic streptococcus\", \"bbox\": [3, 77, 108, 87]}, {\"cell\": \"2\", \"bbox\": [146, 77, 152, 87]}, {\"cell\": \"3.5\", \"bbox\": [172, 77, 185, 87]}, {\"cell\": \"2\", \"bbox\": [223, 77, 229, 87]}, {\"cell\": \"2.5\", \"bbox\": [251, 77, 264, 87]}, {\"cell\": \"1\", \"bbox\": [300, 77, 306, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 77, 336, 87]}, {\"cell\": \"2\", \"bbox\": [383, 77, 389, 87]}, {\"cell\": \"1.5\", \"bbox\": [409, 77, 422, 87]}, {\"cell\": \"4\", \"bbox\": [460, 77, 466, 87]}, {\"cell\": \"1.5\", \"bbox\": [486, 77, 499, 87]}, {\"cell\": \"<i>Enterococcus</i> species\", \"bbox\": [3, 86, 83, 96]}, {\"cell\": \"11\", \"bbox\": [142, 86, 152, 96]}, {\"cell\": \"19\", \"bbox\": [168, 86, 178, 96]}, {\"cell\": \"10\", \"bbox\": [219, 86, 229, 96]}, {\"cell\": \"12\", \"bbox\": [247, 86, 257, 96]}, {\"cell\": \"10\", \"bbox\": [296, 86, 306, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 86, 336, 96]}, {\"cell\": \"33\", \"bbox\": [379, 86, 389, 96]}, {\"cell\": \"24\", \"bbox\": [405, 86, 415, 96]}, {\"cell\": \"58\", \"bbox\": [456, 86, 466, 96]}, {\"cell\": \"22\", \"bbox\": [482, 86, 492, 96]}, {\"cell\": \"<i>Corynebacterium</i> species\", \"bbox\": [3, 95, 96, 105]}, {\"cell\": \"5\", \"bbox\": [146, 95, 152, 105]}, {\"cell\": \"9\", \"bbox\": [172, 95, 178, 105]}, {\"cell\": \"9\", \"bbox\": [223, 95, 229, 105]}, {\"cell\": \"11\", \"bbox\": [247, 95, 257, 105]}, {\"cell\": \"13\", \"bbox\": [296, 95, 306, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 95, 336, 105]}, {\"cell\": \"9\", \"bbox\": [383, 95, 389, 105]}, {\"cell\": \"6.5\", \"bbox\": [409, 95, 422, 105]}, {\"cell\": \"23\", \"bbox\": [456, 95, 466, 105]}, {\"cell\": \"85\", \"bbox\": [482, 95, 492, 105]}, {\"cell\": \"<i>E. coli</i>\", \"bbox\": [3, 104, 27, 114]}, {\"cell\": \"2\", \"bbox\": [146, 104, 152, 114]}, {\"cell\": \"3.5\", \"bbox\": [172, 104, 185, 114]}, {\"cell\": \"7\", \"bbox\": [223, 104, 229, 114]}, {\"cell\": \"8.5\", \"bbox\": [251, 104, 264, 114]}, {\"cell\": \"10\", \"bbox\": [296, 104, 306, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 104, 336, 114]}, {\"cell\": \"7\", \"bbox\": [383, 104, 389, 114]}, {\"cell\": \"5\", \"bbox\": [409, 104, 415, 114]}, {\"cell\": \"24\", \"bbox\": [456, 104, 466, 114]}, {\"cell\": \"9\", \"bbox\": [486, 104, 492, 114]}, {\"cell\": \"<i>Enterobacter</i> species\", \"bbox\": [3, 113, 80, 123]}, {\"cell\": \"6\", \"bbox\": [146, 113, 152, 123]}, {\"cell\": \"10.5\", \"bbox\": [168, 113, 185, 123]}, {\"cell\": \"1\", \"bbox\": [223, 113, 229, 123]}, {\"cell\": \"1\", \"bbox\": [251, 113, 257, 123]}, {\"cell\": \"0\", \"bbox\": [300, 113, 306, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 113, 336, 123]}, {\"cell\": \"0\", \"bbox\": [383, 113, 389, 123]}, {\"cell\": \"0\", \"bbox\": [409, 113, 415, 123]}, {\"cell\": \"20\", \"bbox\": [456, 113, 466, 123]}, {\"cell\": \"7.5\", \"bbox\": [486, 113, 499, 123]}, {\"cell\": \"Other Enterobactericeae\", \"bbox\": [3, 122, 93, 132]}, {\"cell\": \"10\", \"bbox\": [142, 122, 152, 132]}, {\"cell\": \"17.5\", \"bbox\": [168, 122, 185, 132]}, {\"cell\": \"14\", \"bbox\": [219, 122, 229, 132]}, {\"cell\": \"17\", \"bbox\": [247, 122, 257, 132]}, {\"cell\": \"9\", \"bbox\": [300, 122, 306, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 122, 336, 132]}, {\"cell\": \"41\", \"bbox\": [379, 122, 389, 132]}, {\"cell\": \"30\", \"bbox\": [405, 122, 415, 132]}, {\"cell\": \"48\", \"bbox\": [456, 122, 466, 132]}, {\"cell\": \"18\", \"bbox\": [482, 122, 492, 132]}, {\"cell\": \"Anaerobic bacteria\", \"bbox\": [3, 131, 72, 141]}, {\"cell\": \"3\", \"bbox\": [146, 131, 152, 141]}, {\"cell\": \"5\", \"bbox\": [172, 131, 178, 141]}, {\"cell\": \"7\", \"bbox\": [223, 131, 229, 141]}, {\"cell\": \"8.5\", \"bbox\": [251, 131, 264, 141]}, {\"cell\": \"6\", \"bbox\": [300, 131, 306, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 131, 343, 141]}, {\"cell\": \"21\", \"bbox\": [379, 131, 389, 141]}, {\"cell\": \"15\", \"bbox\": [405, 131, 415, 141]}, {\"cell\": \"36\", \"bbox\": [456, 131, 466, 141]}, {\"cell\": \"13.5\", \"bbox\": [482, 131, 499, 141]}, {\"cell\": \"<i>Candida</i> species\", \"bbox\": [3, 140, 64, 150]}, {\"cell\": \"0\", \"bbox\": [146, 140, 152, 150]}, {\"cell\": \"0\", \"bbox\": [172, 140, 178, 150]}, {\"cell\": \"1\", \"bbox\": [223, 140, 229, 150]}, {\"cell\": \"1\", \"bbox\": [251, 140, 257, 150]}, {\"cell\": \"1\", \"bbox\": [300, 140, 306, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 140, 336, 150]}, {\"cell\": \"0\", \"bbox\": [383, 140, 389, 150]}, {\"cell\": \"0\", \"bbox\": [409, 140, 415, 150]}, {\"cell\": \"2\", \"bbox\": [460, 140, 466, 150]}, {\"cell\": \"1\", \"bbox\": [486, 140, 492, 150]}, {\"cell\": \"Other types\", \"bbox\": [3, 149, 47, 159]}, {\"cell\": \"8\", \"bbox\": [146, 149, 152, 159]}, {\"cell\": \"14\", \"bbox\": [168, 149, 178, 159]}, {\"cell\": \"7\", \"bbox\": [223, 149, 229, 159]}, {\"cell\": \"8.5\", \"bbox\": [251, 149, 264, 159]}, {\"cell\": \"8\", \"bbox\": [300, 149, 306, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 149, 336, 159]}, {\"cell\": \"16\", \"bbox\": [379, 149, 389, 159]}, {\"cell\": \"11.5\", \"bbox\": [405, 149, 422, 159]}, {\"cell\": \"45\", \"bbox\": [456, 149, 466, 159]}, {\"cell\": \"17\", \"bbox\": [482, 149, 492, 159]}, {\"cell\": \"Total\", \"bbox\": [3, 158, 22, 168]}, {\"cell\": \"93\", \"bbox\": [142, 158, 152, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"129\", \"bbox\": [214, 158, 229, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"127\", \"bbox\": [291, 158, 306, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"270\", \"bbox\": [374, 158, 389, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"495\", \"bbox\": [451, 158, 466, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3715828_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}239{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Species</b></td><td><b>ROI</b></td><td><b>Full-Length ROI</b></td><td><b>Error Correction FLNC Reads</b></td><td><b>Mapped Reads</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1,838,330</td><td>884,638</td><td>NA</td><td>867,089</td></tr><tr><td>[EMPTY_CELL]</td><td>3,716,604</td><td>1,553,692</td><td>643,330</td><td>606,145</td></tr><tr><td>[EMPTY_CELL]</td><td>240,312</td><td>NA</td><td>197,709</td><td>91,881</td></tr><tr><td>[EMPTY_CELL]</td><td>660,458</td><td>217,954</td><td>146,686 <sup>1</sup></td><td>124,509 <sup>2</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>442,601</td><td>354,393</td><td>85,416</td><td>82,360</td></tr><tr><td>[EMPTY_CELL]</td><td>288,312</td><td>147,362</td><td>146,225</td><td>145,522</td></tr><tr><td>[EMPTY_CELL]</td><td>796,011</td><td>223,368</td><td>NS</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>2,542,318</td><td>1,096,932</td><td>NA</td><td>339,230</td></tr><tr><td>[EMPTY_CELL]</td><td>290,393</td><td>186,999</td><td>107,604</td><td>74,716</td></tr><tr><td>[EMPTY_CELL]</td><td>395,038</td><td>109,920</td><td>NA</td><td>107,721</td></tr><tr><td>[EMPTY_CELL]</td><td>433,877</td><td>233,464</td><td>NA</td><td>NA</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Species</b>\", \"bbox\": [30, 4, 59, 14]}, {\"cell\": \"<b>ROI</b>\", \"bbox\": [112, 4, 130, 14]}, {\"cell\": \"<b>Full-Length ROI</b>\", \"bbox\": [162, 4, 226, 14]}, {\"cell\": \"<b>Error Correction FLNC Reads</b>\", \"bbox\": [244, 4, 355, 14]}, {\"cell\": \"<b>Mapped Reads</b>\", \"bbox\": [373, 4, 430, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 19, 78, 29]}, {\"cell\": \"1,838,330\", \"bbox\": [104, 19, 138, 29]}, {\"cell\": \"884,638\", \"bbox\": [180, 19, 208, 29]}, {\"cell\": \"NA\", \"bbox\": [292, 19, 307, 29]}, {\"cell\": \"867,089\", \"bbox\": [388, 19, 416, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 29, 64, 39]}, {\"cell\": \"3,716,604\", \"bbox\": [104, 29, 138, 39]}, {\"cell\": \"1,553,692\", \"bbox\": [177, 29, 211, 39]}, {\"cell\": \"643,330\", \"bbox\": [285, 29, 314, 39]}, {\"cell\": \"606,145\", \"bbox\": [388, 29, 416, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 38, 72, 49]}, {\"cell\": \"240,312\", \"bbox\": [107, 38, 135, 49]}, {\"cell\": \"NA\", \"bbox\": [187, 38, 202, 49]}, {\"cell\": \"197,709\", \"bbox\": [285, 38, 314, 49]}, {\"cell\": \"91,881\", \"bbox\": [390, 38, 414, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 48, 80, 59]}, {\"cell\": \"660,458\", \"bbox\": [107, 49, 135, 59]}, {\"cell\": \"217,954\", \"bbox\": [180, 49, 208, 59]}, {\"cell\": \"146,686 <sup>1</sup>\", \"bbox\": [283, 47, 316, 59]}, {\"cell\": \"124,509 <sup>2</sup>\", \"bbox\": [385, 47, 418, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 59, 74, 69]}, {\"cell\": \"442,601\", \"bbox\": [107, 59, 135, 69]}, {\"cell\": \"354,393\", \"bbox\": [180, 59, 208, 69]}, {\"cell\": \"85,416\", \"bbox\": [287, 59, 312, 69]}, {\"cell\": \"82,360\", \"bbox\": [390, 59, 414, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 68, 71, 79]}, {\"cell\": \"288,312\", \"bbox\": [107, 68, 135, 79]}, {\"cell\": \"147,362\", \"bbox\": [180, 68, 208, 79]}, {\"cell\": \"146,225\", \"bbox\": [285, 68, 314, 79]}, {\"cell\": \"145,522\", \"bbox\": [388, 68, 416, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 78, 76, 89]}, {\"cell\": \"796,011\", \"bbox\": [107, 78, 135, 89]}, {\"cell\": \"223,368\", \"bbox\": [180, 78, 208, 89]}, {\"cell\": \"NS\", \"bbox\": [293, 78, 306, 89]}, {\"cell\": \"NA\", \"bbox\": [394, 78, 409, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [32, 88, 57, 98]}, {\"cell\": \"2,542,318\", \"bbox\": [104, 88, 138, 98]}, {\"cell\": \"1,096,932\", \"bbox\": [177, 88, 211, 98]}, {\"cell\": \"NA\", \"bbox\": [292, 88, 307, 98]}, {\"cell\": \"339,230\", \"bbox\": [388, 88, 416, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 98, 65, 108]}, {\"cell\": \"290,393\", \"bbox\": [107, 98, 135, 108]}, {\"cell\": \"186,999\", \"bbox\": [180, 98, 208, 108]}, {\"cell\": \"107,604\", \"bbox\": [285, 98, 314, 108]}, {\"cell\": \"74,716\", \"bbox\": [390, 98, 414, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 108, 64, 118]}, {\"cell\": \"395,038\", \"bbox\": [107, 108, 135, 118]}, {\"cell\": \"109,920\", \"bbox\": [180, 108, 208, 118]}, {\"cell\": \"NA\", \"bbox\": [292, 108, 307, 118]}, {\"cell\": \"107,721\", \"bbox\": [388, 108, 416, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 118, 66, 128]}, {\"cell\": \"433,877\", \"bbox\": [107, 118, 135, 128]}, {\"cell\": \"233,464\", \"bbox\": [180, 118, 208, 128]}, {\"cell\": \"NA\", \"bbox\": [292, 118, 307, 128]}, {\"cell\": \"NA\", \"bbox\": [394, 118, 409, 128]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5793194_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}240{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Music group <i>N</i> = 39</b></td><td><b>Control group <i>N</i> = 35</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Pain during procedure (mm VAS)</td><td>32.4 (24.3)</td><td>31.6 (27.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Pain after procedure (mm VAS)</td><td>23.6 (21.5)</td><td>27.6 (25.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>Heart rate during procedure (bpm)</td><td>82.4 (16.1)</td><td>82.7 (15.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Patient recommends a friend (%)</td><td>95</td><td>88</td><td>[EMPTY_CELL]</td></tr><tr><td>Patient satisfaction (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Very satisfied</td><td>77</td><td>79</td><td>[EMPTY_CELL]</td></tr><tr><td> Satisfied</td><td>15</td><td>15</td><td>[EMPTY_CELL]</td></tr><tr><td> Normal</td><td>3</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td> Dissatisfied</td><td>5</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td> Very dissatisfied</td><td>0</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>Doctor refuses same procedure in same setting for this patient (%)</td><td>5</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>Satisfaction doctor (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Very satisfied</td><td>74</td><td>79</td><td>[EMPTY_CELL]</td></tr><tr><td> Satisfied</td><td>18</td><td>15</td><td>[EMPTY_CELL]</td></tr><tr><td> Normal</td><td>5</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td> Dissatisfied</td><td>3</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td> Very dissatisfied</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>Complications (%)</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>STAI 1 score after procedure</td><td>38.4 (15.3)</td><td>35.5 (9.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>STAI 1 score difference</td><td>3.8 (14.4)</td><td>7.5 (10.2)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Music group <i>N</i> = 39</b>\", \"bbox\": [90, 4, 132, 22]}, {\"cell\": \"<b>Control group <i>N</i> = 35</b>\", \"bbox\": [149, 4, 196, 22]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [211, 4, 236, 13]}, {\"cell\": \"Pain during procedure (mm VAS)\", \"bbox\": [1, 26, 75, 45]}, {\"cell\": \"32.4 (24.3)\", \"bbox\": [90, 26, 124, 36]}, {\"cell\": \"31.6 (27.3)\", \"bbox\": [149, 26, 183, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 26, 230, 36]}, {\"cell\": \"Pain after procedure (mm VAS)\", \"bbox\": [1, 49, 68, 68]}, {\"cell\": \"23.6 (21.5)\", \"bbox\": [90, 49, 124, 59]}, {\"cell\": \"27.6 (25.6)\", \"bbox\": [149, 49, 183, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 49, 230, 59]}, {\"cell\": \"Heart rate during procedure (bpm)\", \"bbox\": [1, 72, 58, 91]}, {\"cell\": \"82.4 (16.1)\", \"bbox\": [90, 72, 124, 82]}, {\"cell\": \"82.7 (15.1)\", \"bbox\": [149, 72, 183, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 72, 230, 82]}, {\"cell\": \"Patient recommends a friend (%)\", \"bbox\": [1, 95, 69, 114]}, {\"cell\": \"95\", \"bbox\": [90, 95, 100, 105]}, {\"cell\": \"88\", \"bbox\": [149, 95, 158, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 95, 230, 105]}, {\"cell\": \"Patient satisfaction (%)\", \"bbox\": [1, 118, 75, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 118, 230, 128]}, {\"cell\": \" Very satisfied\", \"bbox\": [8, 132, 52, 142]}, {\"cell\": \"77\", \"bbox\": [90, 132, 100, 142]}, {\"cell\": \"79\", \"bbox\": [149, 132, 158, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Satisfied\", \"bbox\": [8, 146, 37, 156]}, {\"cell\": \"15\", \"bbox\": [90, 146, 100, 156]}, {\"cell\": \"15\", \"bbox\": [149, 146, 158, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Normal\", \"bbox\": [8, 160, 34, 170]}, {\"cell\": \"3\", \"bbox\": [90, 160, 96, 170]}, {\"cell\": \"3\", \"bbox\": [149, 160, 154, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Dissatisfied\", \"bbox\": [8, 174, 46, 184]}, {\"cell\": \"5\", \"bbox\": [90, 174, 96, 184]}, {\"cell\": \"0\", \"bbox\": [149, 174, 154, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Very dissatisfied\", \"bbox\": [8, 188, 61, 198]}, {\"cell\": \"0\", \"bbox\": [90, 188, 96, 198]}, {\"cell\": \"3\", \"bbox\": [149, 188, 154, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Doctor refuses same procedure in same setting for this patient (%)\", \"bbox\": [1, 202, 86, 230]}, {\"cell\": \"5\", \"bbox\": [90, 202, 96, 212]}, {\"cell\": \"3\", \"bbox\": [149, 202, 154, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 202, 230, 212]}, {\"cell\": \"Satisfaction doctor (%)\", \"bbox\": [1, 234, 74, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 234, 230, 244]}, {\"cell\": \" Very satisfied\", \"bbox\": [8, 248, 52, 258]}, {\"cell\": \"74\", \"bbox\": [90, 248, 100, 258]}, {\"cell\": \"79\", \"bbox\": [149, 248, 158, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Satisfied\", \"bbox\": [8, 262, 37, 272]}, {\"cell\": \"18\", \"bbox\": [90, 262, 100, 272]}, {\"cell\": \"15\", \"bbox\": [149, 262, 158, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Normal\", \"bbox\": [8, 276, 34, 286]}, {\"cell\": \"5\", \"bbox\": [90, 276, 96, 286]}, {\"cell\": \"6\", \"bbox\": [149, 276, 154, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Dissatisfied\", \"bbox\": [8, 290, 46, 299]}, {\"cell\": \"3\", \"bbox\": [90, 290, 96, 299]}, {\"cell\": \"0\", \"bbox\": [149, 290, 154, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Very dissatisfied\", \"bbox\": [8, 304, 61, 313]}, {\"cell\": \"0\", \"bbox\": [90, 304, 96, 313]}, {\"cell\": \"0\", \"bbox\": [149, 304, 154, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Complications (%)\", \"bbox\": [1, 318, 60, 327]}, {\"cell\": \"0\", \"bbox\": [90, 318, 96, 327]}, {\"cell\": \"0\", \"bbox\": [149, 318, 154, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 318, 222, 327]}, {\"cell\": \"STAI 1 score after procedure\", \"bbox\": [1, 332, 58, 351]}, {\"cell\": \"38.4 (15.3)\", \"bbox\": [90, 332, 124, 341]}, {\"cell\": \"35.5 (9.6)\", \"bbox\": [149, 332, 179, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 332, 230, 341]}, {\"cell\": \"STAI 1 score difference\", \"bbox\": [1, 355, 76, 365]}, {\"cell\": \"3.8 (14.4)\", \"bbox\": [90, 355, 120, 365]}, {\"cell\": \"7.5 (10.2)\", \"bbox\": [149, 355, 179, 365]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 355, 230, 365]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5570770_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}241{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Total (<i>N</i>=252; 100%)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Mean</b></td><td><b>SD</b></td></tr></thead><tbody><tr><td>Age</td><td>[EMPTY_CELL]</td><td>9.3</td></tr><tr><td>Working years</td><td>[EMPTY_CELL]</td><td>10.1</td></tr><tr><td>Working years at this CHS</td><td>[EMPTY_CELL]</td><td>9.2</td></tr><tr><td>Salary (1,000 dong/month)</td><td>[EMPTY_CELL]</td><td>607.2</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>%</td></tr><tr><td>Male</td><td>[EMPTY_CELL]</td><td>26.0</td></tr><tr><td>Professional degree</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Specialized MD</td><td>[EMPTY_CELL]</td><td>2.4</td></tr><tr><td> MD</td><td>[EMPTY_CELL]</td><td>11.9</td></tr><tr><td> Nurses and technicians</td><td>[EMPTY_CELL]</td><td>85.7</td></tr><tr><td>Training place</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Hanoi</td><td>[EMPTY_CELL]</td><td>26.6</td></tr><tr><td> Ha Tay</td><td>[EMPTY_CELL]</td><td>50.8</td></tr><tr><td> Others</td><td>[EMPTY_CELL]</td><td>22.6</td></tr><tr><td>Areas of work</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Treatment</td><td>[EMPTY_CELL]</td><td>34.5</td></tr><tr><td> Paraclinical</td><td>[EMPTY_CELL]</td><td>3.6</td></tr><tr><td> Pharmacy</td><td>[EMPTY_CELL]</td><td>11.1</td></tr><tr><td> Preventive medicine</td><td>[EMPTY_CELL]</td><td>18.7</td></tr><tr><td> Management</td><td>[EMPTY_CELL]</td><td>13.9</td></tr><tr><td> Other</td><td>[EMPTY_CELL]</td><td>18.3</td></tr><tr><td>Areas of expertise</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> General</td><td>[EMPTY_CELL]</td><td>51.8</td></tr><tr><td> Major specialty</td><td>[EMPTY_CELL]</td><td>22.7</td></tr><tr><td> Minor specialty</td><td>[EMPTY_CELL]</td><td>17.8</td></tr><tr><td> Others</td><td>[EMPTY_CELL]</td><td>7.7</td></tr><tr><td>Have job description</td><td>[EMPTY_CELL]</td><td>61.1</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total (<i>N</i>=252; 100%)</b>\", \"bbox\": [134, 8, 213, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [131, 29, 153, 38]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [197, 29, 209, 38]}, {\"cell\": \"Age\", \"bbox\": [1, 49, 17, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 49, 156, 58]}, {\"cell\": \"9.3\", \"bbox\": [201, 49, 214, 58]}, {\"cell\": \"Working years\", \"bbox\": [1, 61, 53, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 61, 156, 70]}, {\"cell\": \"10.1\", \"bbox\": [196, 61, 214, 70]}, {\"cell\": \"Working years at this CHS\", \"bbox\": [1, 73, 97, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 73, 156, 82]}, {\"cell\": \"9.2\", \"bbox\": [201, 73, 214, 82]}, {\"cell\": \"Salary (1,000 dong/month)\", \"bbox\": [1, 85, 97, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 85, 156, 94]}, {\"cell\": \"607.2\", \"bbox\": [192, 85, 214, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 100, 146, 108]}, {\"cell\": \"%\", \"bbox\": [200, 100, 210, 109]}, {\"cell\": \"Male\", \"bbox\": [1, 112, 20, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 112, 150, 121]}, {\"cell\": \"26.0\", \"bbox\": [196, 112, 214, 121]}, {\"cell\": \"Professional degree\", \"bbox\": [1, 124, 73, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Specialized MD\", \"bbox\": [8, 136, 67, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 136, 150, 145]}, {\"cell\": \"2.4\", \"bbox\": [201, 136, 214, 145]}, {\"cell\": \" MD\", \"bbox\": [8, 148, 23, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 148, 150, 157]}, {\"cell\": \"11.9\", \"bbox\": [196, 148, 214, 157]}, {\"cell\": \" Nurses and technicians\", \"bbox\": [8, 160, 95, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 160, 150, 169]}, {\"cell\": \"85.7\", \"bbox\": [196, 160, 214, 169]}, {\"cell\": \"Training place\", \"bbox\": [1, 171, 52, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hanoi\", \"bbox\": [8, 183, 31, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 183, 150, 193]}, {\"cell\": \"26.6\", \"bbox\": [196, 183, 214, 193]}, {\"cell\": \" Ha Tay\", \"bbox\": [8, 195, 35, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 195, 150, 205]}, {\"cell\": \"50.8\", \"bbox\": [196, 195, 214, 205]}, {\"cell\": \" Others\", \"bbox\": [8, 207, 34, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 207, 150, 217]}, {\"cell\": \"22.6\", \"bbox\": [196, 207, 214, 217]}, {\"cell\": \"Areas of work\", \"bbox\": [1, 219, 52, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Treatment\", \"bbox\": [8, 231, 46, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 231, 150, 241]}, {\"cell\": \"34.5\", \"bbox\": [196, 231, 214, 241]}, {\"cell\": \" Paraclinical\", \"bbox\": [8, 243, 51, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 243, 150, 253]}, {\"cell\": \"3.6\", \"bbox\": [201, 243, 214, 253]}, {\"cell\": \" Pharmacy\", \"bbox\": [8, 255, 46, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 255, 150, 265]}, {\"cell\": \"11.1\", \"bbox\": [196, 255, 214, 265]}, {\"cell\": \" Preventive medicine\", \"bbox\": [8, 267, 83, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 267, 150, 277]}, {\"cell\": \"18.7\", \"bbox\": [196, 267, 214, 277]}, {\"cell\": \" Management\", \"bbox\": [8, 279, 57, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 279, 150, 289]}, {\"cell\": \"13.9\", \"bbox\": [196, 279, 214, 289]}, {\"cell\": \" Other\", \"bbox\": [8, 291, 30, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 291, 150, 301]}, {\"cell\": \"18.3\", \"bbox\": [196, 291, 214, 301]}, {\"cell\": \"Areas of expertise\", \"bbox\": [1, 303, 68, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" General\", \"bbox\": [8, 315, 38, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 315, 150, 324]}, {\"cell\": \"51.8\", \"bbox\": [196, 315, 214, 324]}, {\"cell\": \" Major specialty\", \"bbox\": [8, 327, 65, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 327, 150, 336]}, {\"cell\": \"22.7\", \"bbox\": [196, 327, 214, 336]}, {\"cell\": \" Minor specialty\", \"bbox\": [8, 339, 65, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 339, 150, 348]}, {\"cell\": \"17.8\", \"bbox\": [196, 339, 214, 348]}, {\"cell\": \" Others\", \"bbox\": [8, 351, 34, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 351, 150, 360]}, {\"cell\": \"7.7\", \"bbox\": [201, 351, 214, 360]}, {\"cell\": \"Have job description\", \"bbox\": [1, 363, 77, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 363, 150, 372]}, {\"cell\": \"61.1\", \"bbox\": [196, 363, 214, 372]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3561598_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}242{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>2001</b></td><td><b>2003</b></td><td><b>2005</b></td></tr></thead><tbody><tr><td>Age in years <sup>a</sup></td><td>41.6 (40.4–42.8)</td><td>[EMPTY_CELL]</td><td>44.7 (44.0–45.3)</td></tr><tr><td>Female sex <sup>b</sup></td><td>77.9 (72.8–83.0%)</td><td>[EMPTY_CELL]</td><td>76.8 (74.0–79.6%)</td></tr><tr><td>Lives with partner <sup>b</sup></td><td>74.0 (68.2–79.8 %)</td><td>[EMPTY_CELL]</td><td>64.7 (61.5–67.9%)</td></tr><tr><td>Group I <sup>b</sup></td><td>32.3 (26.5–38.1%)</td><td>[EMPTY_CELL]</td><td>42.9 (39.6–46.2%)</td></tr><tr><td>Group II <sup>b</sup></td><td>40.9 (34.9–46.9%)</td><td>[EMPTY_CELL]</td><td>36.7 (33.5–39.9%)</td></tr><tr><td>Group III <sup>b</sup></td><td>26.8 (21.4–32.2%)</td><td>[EMPTY_CELL]</td><td>20.4 (17.7–23.1%)</td></tr><tr><td>Indefinite contract <sup>b</sup></td><td>51.5 (45.4–57.6%)</td><td>[EMPTY_CELL]</td><td>47.0 (43.7–50.3%)</td></tr><tr><td>Urban team <sup>b</sup></td><td>89.2 (85.4–93.0%)</td><td>[EMPTY_CELL]</td><td>88.1 (79.1–84.3%)</td></tr><tr><td>Management responsibilities <sup>b</sup></td><td>34.2 (28.1 40.3%)</td><td>[EMPTY_CELL]</td><td>32.4 (29.3–35.5%)</td></tr><tr><td>Morning shift <sup>b</sup></td><td>53.5 (47.4–59.6%)</td><td>[EMPTY_CELL]</td><td>48.4 (45.1–51.7%)</td></tr><tr><td>Years in Area <sup>a</sup></td><td>10.4 (9.5–11.3)</td><td>[EMPTY_CELL]</td><td>11.2 (10.8–11.7)</td></tr><tr><td>High care pressure <sup>b</sup></td><td>37.3 (29.8–44.8%)</td><td>[EMPTY_CELL]</td><td>53.7 (50.0–57.4%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>2001</b>\", \"bbox\": [129, 4, 148, 14]}, {\"cell\": \"<b>2003</b>\", \"bbox\": [254, 4, 272, 14]}, {\"cell\": \"<b>2005</b>\", \"bbox\": [379, 4, 397, 14]}, {\"cell\": \"Age in years <sup>a</sup>\", \"bbox\": [4, 26, 52, 36]}, {\"cell\": \"41.6 (40.4–42.8)\", \"bbox\": [129, 27, 185, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 27, 310, 36]}, {\"cell\": \"44.7 (44.0–45.3)\", \"bbox\": [379, 27, 435, 36]}, {\"cell\": \"Female sex <sup>b</sup>\", \"bbox\": [4, 37, 49, 47]}, {\"cell\": \"77.9 (72.8–83.0%)\", \"bbox\": [129, 37, 191, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 37, 316, 47]}, {\"cell\": \"76.8 (74.0–79.6%)\", \"bbox\": [379, 37, 440, 47]}, {\"cell\": \"Lives with partner <sup>b</sup>\", \"bbox\": [4, 47, 72, 57]}, {\"cell\": \"74.0 (68.2–79.8 %)\", \"bbox\": [129, 47, 193, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 47, 316, 57]}, {\"cell\": \"64.7 (61.5–67.9%)\", \"bbox\": [379, 47, 440, 57]}, {\"cell\": \"Group I <sup>b</sup>\", \"bbox\": [4, 57, 38, 67]}, {\"cell\": \"32.3 (26.5–38.1%)\", \"bbox\": [129, 57, 191, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 57, 316, 67]}, {\"cell\": \"42.9 (39.6–46.2%)\", \"bbox\": [379, 57, 440, 67]}, {\"cell\": \"Group II <sup>b</sup>\", \"bbox\": [4, 67, 40, 77]}, {\"cell\": \"40.9 (34.9–46.9%)\", \"bbox\": [129, 68, 191, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 68, 316, 77]}, {\"cell\": \"36.7 (33.5–39.9%)\", \"bbox\": [379, 68, 440, 77]}, {\"cell\": \"Group III <sup>b</sup>\", \"bbox\": [4, 78, 42, 88]}, {\"cell\": \"26.8 (21.4–32.2%)\", \"bbox\": [129, 78, 191, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 78, 316, 88]}, {\"cell\": \"20.4 (17.7–23.1%)\", \"bbox\": [379, 78, 440, 88]}, {\"cell\": \"Indefinite contract <sup>b</sup>\", \"bbox\": [4, 88, 73, 98]}, {\"cell\": \"51.5 (45.4–57.6%)\", \"bbox\": [129, 88, 191, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 88, 316, 98]}, {\"cell\": \"47.0 (43.7–50.3%)\", \"bbox\": [379, 88, 440, 98]}, {\"cell\": \"Urban team <sup>b</sup>\", \"bbox\": [4, 98, 51, 108]}, {\"cell\": \"89.2 (85.4–93.0%)\", \"bbox\": [129, 98, 191, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 98, 316, 108]}, {\"cell\": \"88.1 (79.1–84.3%)\", \"bbox\": [379, 98, 440, 108]}, {\"cell\": \"Management responsibilities <sup>b</sup>\", \"bbox\": [4, 108, 106, 118]}, {\"cell\": \"34.2 (28.1 40.3%)\", \"bbox\": [129, 109, 189, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 109, 314, 118]}, {\"cell\": \"32.4 (29.3–35.5%)\", \"bbox\": [379, 109, 440, 118]}, {\"cell\": \"Morning shift <sup>b</sup>\", \"bbox\": [4, 119, 56, 129]}, {\"cell\": \"53.5 (47.4–59.6%)\", \"bbox\": [129, 119, 191, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 119, 316, 129]}, {\"cell\": \"48.4 (45.1–51.7%)\", \"bbox\": [379, 119, 440, 129]}, {\"cell\": \"Years in Area <sup>a</sup>\", \"bbox\": [4, 129, 57, 139]}, {\"cell\": \"10.4 (9.5–11.3)\", \"bbox\": [129, 129, 181, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 129, 310, 139]}, {\"cell\": \"11.2 (10.8–11.7)\", \"bbox\": [379, 129, 435, 139]}, {\"cell\": \"High care pressure <sup>b</sup>\", \"bbox\": [4, 139, 75, 149]}, {\"cell\": \"37.3 (29.8–44.8%)\", \"bbox\": [129, 139, 191, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 139, 316, 149]}, {\"cell\": \"53.7 (50.0–57.4%)\", \"bbox\": [379, 139, 440, 149]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1933419_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}243{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Univariable analysis</b></td><td colspan=\\\"3\\\"><b>Multivariable analysis<sup>a</sup></b></td></tr><tr><td><b>HR</b></td><td><b><i>p</i> Value</b></td><td><b>95% CI</b></td><td><b>HR</b></td><td><b><i>p</i> Value</b></td><td><b>95% CI</b></td></tr></thead><tbody><tr><td>Age (≥65 years)</td><td>0.720</td><td>[EMPTY_CELL]</td><td>0.326–1.59</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Sex (male)</td><td>2.22</td><td>[EMPTY_CELL]</td><td>0.522–9.42</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Histologic type (non-SCC)</td><td>3.11</td><td>[EMPTY_CELL]</td><td>1.337–7.232</td><td>2.57</td><td>0.029</td><td>1.10–6.02</td></tr><tr><td>ypStage (≥3)</td><td>4.14</td><td>[EMPTY_CELL]</td><td>1.95–8.80</td><td>5.73</td><td><0.01</td><td>1.94–16.7</td></tr><tr><td>Therapeutic effect</td><td>0.611</td><td>[EMPTY_CELL]</td><td>0.416–0.898</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Albumin</td><td>1.12</td><td>[EMPTY_CELL]</td><td>0.952–1.32</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>CRP</td><td>0.213</td><td>[EMPTY_CELL]</td><td>0.028–1.63</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI (≥20)</td><td>0.836</td><td>[EMPTY_CELL]</td><td>0.378–1.85</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Sarcopenia</td><td>2.56</td><td>[EMPTY_CELL]</td><td>0.604–10.8</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Weight loss rate</td><td>0.937</td><td>[EMPTY_CELL]</td><td>0.877–1.00</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Skeletal muscle wasting</td><td>1.19</td><td>[EMPTY_CELL]</td><td>1.06–1.34</td><td>1.16</td><td>0.015</td><td>1.03–1.31</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Univariable analysis</b>\", \"bbox\": [133, 5, 205, 15]}, {\"cell\": \"<b>Multivariable analysis<sup>a</sup></b>\", \"bbox\": [339, 3, 420, 15]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [133, 22, 146, 31]}, {\"cell\": \"<b><i>p</i> Value</b>\", \"bbox\": [191, 22, 220, 31]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [258, 22, 286, 31]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [339, 22, 353, 31]}, {\"cell\": \"<b><i>p</i> Value</b>\", \"bbox\": [393, 22, 423, 31]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [460, 22, 489, 31]}, {\"cell\": \"Age (≥65 years)\", \"bbox\": [1, 40, 61, 50]}, {\"cell\": \"0.720\", \"bbox\": [133, 40, 154, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 40, 218, 50]}, {\"cell\": \"0.326–1.59\", \"bbox\": [258, 40, 298, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex (male)\", \"bbox\": [1, 53, 40, 63]}, {\"cell\": \"2.22\", \"bbox\": [133, 53, 149, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 53, 218, 63]}, {\"cell\": \"0.522–9.42\", \"bbox\": [258, 53, 298, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histologic type (non-SCC)\", \"bbox\": [1, 66, 95, 76]}, {\"cell\": \"3.11\", \"bbox\": [133, 66, 149, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 66, 213, 76]}, {\"cell\": \"1.337–7.232\", \"bbox\": [258, 66, 302, 76]}, {\"cell\": \"2.57\", \"bbox\": [339, 66, 356, 76]}, {\"cell\": \"0.029\", \"bbox\": [393, 66, 414, 76]}, {\"cell\": \"1.10–6.02\", \"bbox\": [460, 66, 496, 76]}, {\"cell\": \"ypStage (≥3)\", \"bbox\": [1, 79, 49, 88]}, {\"cell\": \"4.14\", \"bbox\": [133, 79, 149, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 79, 213, 88]}, {\"cell\": \"1.95–8.80\", \"bbox\": [262, 79, 298, 88]}, {\"cell\": \"5.73\", \"bbox\": [339, 79, 356, 88]}, {\"cell\": \"<0.01\", \"bbox\": [392, 79, 416, 88]}, {\"cell\": \"1.94–16.7\", \"bbox\": [460, 79, 496, 88]}, {\"cell\": \"Therapeutic effect\", \"bbox\": [1, 92, 65, 101]}, {\"cell\": \"0.611\", \"bbox\": [133, 92, 154, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 92, 218, 101]}, {\"cell\": \"0.416–0.898\", \"bbox\": [258, 92, 302, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Albumin\", \"bbox\": [1, 104, 33, 114]}, {\"cell\": \"1.12\", \"bbox\": [133, 104, 149, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 104, 218, 114]}, {\"cell\": \"0.952–1.32\", \"bbox\": [258, 104, 298, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CRP\", \"bbox\": [1, 117, 18, 127]}, {\"cell\": \"0.213\", \"bbox\": [133, 117, 154, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 117, 218, 127]}, {\"cell\": \"0.028–1.63\", \"bbox\": [258, 117, 298, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BMI (≥20)\", \"bbox\": [1, 130, 42, 139]}, {\"cell\": \"0.836\", \"bbox\": [133, 130, 154, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 130, 218, 139]}, {\"cell\": \"0.378–1.85\", \"bbox\": [258, 130, 298, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sarcopenia\", \"bbox\": [1, 142, 40, 152]}, {\"cell\": \"2.56\", \"bbox\": [133, 142, 149, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 142, 218, 152]}, {\"cell\": \"0.604–10.8\", \"bbox\": [258, 142, 298, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weight loss rate\", \"bbox\": [1, 155, 59, 165]}, {\"cell\": \"0.937\", \"bbox\": [133, 155, 154, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 155, 218, 165]}, {\"cell\": \"0.877–1.00\", \"bbox\": [258, 155, 298, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Skeletal muscle wasting\", \"bbox\": [1, 168, 86, 178]}, {\"cell\": \"1.19\", \"bbox\": [133, 168, 149, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 168, 213, 178]}, {\"cell\": \"1.06–1.34\", \"bbox\": [262, 168, 298, 178]}, {\"cell\": \"1.16\", \"bbox\": [339, 168, 356, 178]}, {\"cell\": \"0.015\", \"bbox\": [393, 168, 414, 178]}, {\"cell\": \"1.03–1.31\", \"bbox\": [460, 168, 496, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5658455_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}244{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Number, n (%)</b></td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>All sample</b></td><td><b>Children ≤ 5 years</b></td></tr><tr><td><b>N = 223</b></td><td><b>N = 112</b></td></tr></thead><tbody><tr><td>Age<sup>1</sup><i>(years)</i></td><td>[EMPTY_CELL]</td><td>1.7 [0.1–5]</td></tr><tr><td>Female</td><td>[EMPTY_CELL]</td><td>45 (40.2)</td></tr><tr><td>Symptoms reported by patients</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Fever</td><td>[EMPTY_CELL]</td><td>30 (26.8)</td></tr><tr><td>Vomiting</td><td>[EMPTY_CELL]</td><td>45 (41.3)</td></tr><tr><td>Dehydration</td><td>[EMPTY_CELL]</td><td>27 (26.0)</td></tr><tr><td>Abdominal pain</td><td>[EMPTY_CELL]</td><td>64 (60.9)</td></tr><tr><td>Weakness</td><td>[EMPTY_CELL]</td><td>32 (32.6)</td></tr><tr><td>Acute diarrhea (≤ 7 days)</td><td>[EMPTY_CELL]</td><td>86 (76.8)</td></tr><tr><td>Duration of diarrhea<sup>1</sup><i>(days)</i></td><td>[EMPTY_CELL]</td><td>4.6 [0–28]</td></tr><tr><td>Hospitalization</td><td>[EMPTY_CELL]</td><td>12 (10.7)</td></tr><tr><td>Aspect of stools</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Loose</td><td>[EMPTY_CELL]</td><td>45 (40.2)</td></tr><tr><td>Semi-formed</td><td>[EMPTY_CELL]</td><td>33 (29.5)</td></tr><tr><td>Formed</td><td>[EMPTY_CELL]</td><td>2 (1.8)</td></tr><tr><td>Blood</td><td>[EMPTY_CELL]</td><td>8 (7.1)</td></tr><tr><td>Mucus</td><td>[EMPTY_CELL]</td><td>50 (44.6)</td></tr><tr><td>Period</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Rainy season</td><td>[EMPTY_CELL]</td><td>65 (58)</td></tr><tr><td>Dry season</td><td>[EMPTY_CELL]</td><td>47 (42)</td></tr><tr><td>Confirmed enteric infection</td><td>[EMPTY_CELL]</td><td>46 (41.1)</td></tr><tr><td>Bacterial infection</td><td>[EMPTY_CELL]</td><td>27 (24.1)</td></tr><tr><td>Viral infection<sup>2</sup></td><td>[EMPTY_CELL]</td><td>37 (33.3)</td></tr><tr><td>Parasitic infection</td><td>[EMPTY_CELL]</td><td>13 (11.6)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number, n (%)</b>\", \"bbox\": [151, 4, 203, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All sample</b>\", \"bbox\": [120, 17, 158, 27]}, {\"cell\": \"<b>Children ≤ 5 years</b>\", \"bbox\": [173, 17, 236, 27]}, {\"cell\": \"<b>N = 223</b>\", \"bbox\": [125, 26, 153, 36]}, {\"cell\": \"<b>N = 112</b>\", \"bbox\": [191, 26, 219, 36]}, {\"cell\": \"Age<sup>1</sup><i>(years)</i>\", \"bbox\": [0, 38, 40, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 39, 160, 49]}, {\"cell\": \"1.7 [0.1–5]\", \"bbox\": [188, 39, 222, 49]}, {\"cell\": \"Female\", \"bbox\": [1, 53, 26, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 53, 155, 63]}, {\"cell\": \"45 (40.2)\", \"bbox\": [190, 53, 219, 63]}, {\"cell\": \"Symptoms reported by patients\", \"bbox\": [1, 67, 104, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fever\", \"bbox\": [11, 81, 30, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 81, 153, 91]}, {\"cell\": \"30 (26.8)\", \"bbox\": [190, 81, 219, 91]}, {\"cell\": \"Vomiting\", \"bbox\": [10, 95, 41, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 95, 153, 105]}, {\"cell\": \"45 (41.3)\", \"bbox\": [190, 95, 219, 105]}, {\"cell\": \"Dehydration\", \"bbox\": [10, 109, 52, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 109, 153, 119]}, {\"cell\": \"27 (26.0)\", \"bbox\": [190, 109, 219, 119]}, {\"cell\": \"Abdominal pain\", \"bbox\": [10, 123, 63, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 123, 155, 133]}, {\"cell\": \"64 (60.9)\", \"bbox\": [190, 123, 219, 133]}, {\"cell\": \"Weakness\", \"bbox\": [10, 137, 43, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 137, 153, 147]}, {\"cell\": \"32 (32.6)\", \"bbox\": [190, 137, 219, 147]}, {\"cell\": \"Acute diarrhea (≤ 7 days)\", \"bbox\": [1, 151, 84, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 151, 155, 161]}, {\"cell\": \"86 (76.8)\", \"bbox\": [190, 151, 219, 161]}, {\"cell\": \"Duration of diarrhea<sup>1</sup><i>(days)</i>\", \"bbox\": [1, 164, 91, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 165, 155, 175]}, {\"cell\": \"4.6 [0–28]\", \"bbox\": [188, 165, 221, 175]}, {\"cell\": \"Hospitalization\", \"bbox\": [1, 179, 49, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 179, 153, 189]}, {\"cell\": \"12 (10.7)\", \"bbox\": [190, 179, 219, 189]}, {\"cell\": \"Aspect of stools\", \"bbox\": [1, 193, 54, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Loose\", \"bbox\": [10, 207, 31, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 207, 153, 217]}, {\"cell\": \"45 (40.2)\", \"bbox\": [190, 207, 219, 217]}, {\"cell\": \"Semi-formed\", \"bbox\": [10, 221, 53, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 221, 153, 231]}, {\"cell\": \"33 (29.5)\", \"bbox\": [190, 221, 219, 231]}, {\"cell\": \"Formed\", \"bbox\": [10, 235, 37, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 235, 149, 245]}, {\"cell\": \"2 (1.8)\", \"bbox\": [194, 235, 215, 245]}, {\"cell\": \"Blood\", \"bbox\": [10, 249, 31, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 249, 153, 259]}, {\"cell\": \"8 (7.1)\", \"bbox\": [194, 249, 215, 259]}, {\"cell\": \"Mucus\", \"bbox\": [10, 263, 33, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 263, 153, 273]}, {\"cell\": \"50 (44.6)\", \"bbox\": [190, 263, 219, 273]}, {\"cell\": \"Period\", \"bbox\": [1, 277, 23, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Rainy season\", \"bbox\": [11, 291, 54, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 291, 155, 301]}, {\"cell\": \"65 (58)\", \"bbox\": [193, 291, 217, 301]}, {\"cell\": \"Dry season\", \"bbox\": [10, 305, 47, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 305, 153, 315]}, {\"cell\": \"47 (42)\", \"bbox\": [193, 305, 217, 315]}, {\"cell\": \"Confirmed enteric infection\", \"bbox\": [1, 319, 91, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 319, 153, 329]}, {\"cell\": \"46 (41.1)\", \"bbox\": [190, 319, 219, 329]}, {\"cell\": \"Bacterial infection\", \"bbox\": [10, 333, 69, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 333, 153, 343]}, {\"cell\": \"27 (24.1)\", \"bbox\": [190, 333, 219, 343]}, {\"cell\": \"Viral infection<sup>2</sup>\", \"bbox\": [10, 346, 58, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 347, 153, 357]}, {\"cell\": \"37 (33.3)\", \"bbox\": [190, 347, 219, 357]}, {\"cell\": \"Parasitic infection\", \"bbox\": [10, 361, 68, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 361, 153, 371]}, {\"cell\": \"13 (11.6)\", \"bbox\": [190, 361, 219, 371]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3893462_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}245{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Total</b></td><td colspan=\\\"2\\\"><b>HIV Positive</b></td><td><b>Univariate</b></td><td><b>Multivariate</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>n (%)</b></td><td>[EMPTY_CELL]</td><td><b>No n (%)</b></td><td><b>OR (95% CI)</b></td><td><b>aOR (95% CI)</b></td></tr><tr><td>Not always wearing condoms with men</td><td>88 (47.6%)</td><td>[EMPTY_CELL]</td><td>70 (79.5%)</td><td>1.9 (1.0-3.7), *</td><td>2.3 (1.0-5.4),**</td></tr><tr><td>Received money for Transactional Sex</td><td>24 (12.0%)</td><td>[EMPTY_CELL]</td><td>13 (54.2%)</td><td>2.9 (1.2-6.9),*</td><td>NS</td></tr><tr><td>Having been blackmailed</td><td>21 (10.5%)</td><td>[EMPTY_CELL]</td><td>12 (57.1%)</td><td>2.4 (1.0-6.2) (p = 0.06)</td><td>4,4 (1.3-15.4), *</td></tr><tr><td>Having been raped</td><td>22 (11.0%)</td><td>[EMPTY_CELL]</td><td>11 (50.0%)</td><td>3.5 (1.4-8.5),**</td><td>5.7 (1.6-20.2) **</td></tr><tr><td>Higher number of male partners (>5)</td><td>35(17.7%)</td><td>[EMPTY_CELL]</td><td>20 (57.1%)</td><td>2.8.(1.3-6.1), **</td><td>NS</td></tr><tr><td>More than 26 years old</td><td>77 (38.5%)</td><td>[EMPTY_CELL]</td><td>51 (66.2%)</td><td>2.0 (1.1 - 3.8), *</td><td>4.2 (1.6-10.6),**</td></tr><tr><td>Unemployment</td><td>79 (39.7%)</td><td>[EMPTY_CELL]</td><td>52 (65.8%)</td><td>2.2 (1.1-4.2), *</td><td>3.7 (1.5-9.3),**</td></tr><tr><td>Less Educated</td><td>20 (10.0%)</td><td>[EMPTY_CELL]</td><td>10 (50.0%)</td><td>3.4 (1.3.-8.8), *</td><td>NS</td></tr><tr><td>Rural Origin</td><td>102 (53.6%)</td><td>[EMPTY_CELL]</td><td>38 (37.3)%)</td><td>4.1 (2.0-8.8),**</td><td>6.0 ( 2.2-16.7), **</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 4, 49, 13]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [152, 4, 171, 13]}, {\"cell\": \"<b>HIV Positive</b>\", \"bbox\": [211, 4, 254, 13]}, {\"cell\": \"<b>Univariate</b>\", \"bbox\": [322, 4, 360, 13]}, {\"cell\": \"<b>Multivariate</b>\", \"bbox\": [414, 4, 457, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n (%)</b>\", \"bbox\": [152, 17, 172, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 17, 246, 26]}, {\"cell\": \"<b>No n (%)</b>\", \"bbox\": [265, 17, 298, 26]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [322, 17, 366, 26]}, {\"cell\": \"<b>aOR (95% CI)</b>\", \"bbox\": [414, 17, 462, 26]}, {\"cell\": \"Not always wearing condoms with men\", \"bbox\": [1, 30, 132, 40]}, {\"cell\": \"88 (47.6%)\", \"bbox\": [152, 30, 187, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 30, 246, 40]}, {\"cell\": \"70 (79.5%)\", \"bbox\": [265, 30, 300, 40]}, {\"cell\": \"1.9 (1.0-3.7), *\", \"bbox\": [322, 30, 367, 40]}, {\"cell\": \"2.3 (1.0-5.4),**\", \"bbox\": [414, 30, 459, 40]}, {\"cell\": \"Received money for Transactional Sex\", \"bbox\": [1, 44, 125, 53]}, {\"cell\": \"24 (12.0%)\", \"bbox\": [152, 44, 187, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 44, 246, 53]}, {\"cell\": \"13 (54.2%)\", \"bbox\": [265, 44, 300, 53]}, {\"cell\": \"2.9 (1.2-6.9),*\", \"bbox\": [322, 44, 365, 53]}, {\"cell\": \"NS\", \"bbox\": [414, 44, 425, 53]}, {\"cell\": \"Having been blackmailed\", \"bbox\": [1, 57, 84, 66]}, {\"cell\": \"21 (10.5%)\", \"bbox\": [152, 57, 187, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 57, 242, 66]}, {\"cell\": \"12 (57.1%)\", \"bbox\": [265, 57, 300, 66]}, {\"cell\": \"2.4 (1.0-6.2) (p = 0.06)\", \"bbox\": [322, 57, 394, 66]}, {\"cell\": \"4,4 (1.3-15.4), *\", \"bbox\": [414, 57, 463, 66]}, {\"cell\": \"Having been raped\", \"bbox\": [1, 70, 65, 79]}, {\"cell\": \"22 (11.0%)\", \"bbox\": [152, 70, 187, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 70, 246, 79]}, {\"cell\": \"11 (50.0%)\", \"bbox\": [265, 70, 300, 79]}, {\"cell\": \"3.5 (1.4-8.5),**\", \"bbox\": [322, 70, 368, 79]}, {\"cell\": \"5.7 (1.6-20.2) **\", \"bbox\": [414, 70, 465, 79]}, {\"cell\": \"Higher number of male partners (>5)\", \"bbox\": [1, 83, 123, 93]}, {\"cell\": \"35(17.7%)\", \"bbox\": [152, 83, 184, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 83, 246, 93]}, {\"cell\": \"20 (57.1%)\", \"bbox\": [266, 83, 300, 93]}, {\"cell\": \"2.8.(1.3-6.1), **\", \"bbox\": [322, 83, 369, 93]}, {\"cell\": \"NS\", \"bbox\": [414, 83, 425, 93]}, {\"cell\": \"More than 26 years old\", \"bbox\": [1, 96, 78, 106]}, {\"cell\": \"77 (38.5%)\", \"bbox\": [152, 96, 187, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 96, 246, 106]}, {\"cell\": \"51 (66.2%)\", \"bbox\": [265, 96, 300, 106]}, {\"cell\": \"2.0 (1.1 - 3.8), *\", \"bbox\": [322, 96, 373, 106]}, {\"cell\": \"4.2 (1.6-10.6),**\", \"bbox\": [414, 96, 463, 106]}, {\"cell\": \"Unemployment\", \"bbox\": [1, 110, 53, 119]}, {\"cell\": \"79 (39.7%)\", \"bbox\": [152, 110, 187, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 110, 246, 119]}, {\"cell\": \"52 (65.8%)\", \"bbox\": [265, 110, 300, 119]}, {\"cell\": \"2.2 (1.1-4.2), *\", \"bbox\": [322, 110, 367, 119]}, {\"cell\": \"3.7 (1.5-9.3),**\", \"bbox\": [414, 110, 459, 119]}, {\"cell\": \"Less Educated\", \"bbox\": [1, 123, 48, 132]}, {\"cell\": \"20 (10.0%)\", \"bbox\": [152, 123, 187, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 123, 246, 132]}, {\"cell\": \"10 (50.0%)\", \"bbox\": [266, 123, 300, 132]}, {\"cell\": \"3.4 (1.3.-8.8), *\", \"bbox\": [322, 123, 369, 132]}, {\"cell\": \"NS\", \"bbox\": [414, 123, 425, 132]}, {\"cell\": \"Rural Origin\", \"bbox\": [1, 136, 40, 145]}, {\"cell\": \"102 (53.6%)\", \"bbox\": [152, 136, 191, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 136, 246, 145]}, {\"cell\": \"38 (37.3)%)\", \"bbox\": [266, 136, 303, 145]}, {\"cell\": \"4.1 (2.0-8.8),**\", \"bbox\": [322, 136, 368, 145]}, {\"cell\": \"6.0 ( 2.2-16.7), **\", \"bbox\": [414, 136, 469, 145]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3196714_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}246{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Overall (n=7,007)</b></td><td colspan=\\\"2\\\"><b>Government (n=894)</b></td><td colspan=\\\"2\\\"><b>NGO (n=5,849)</b></td><td colspan=\\\"2\\\"><b>Private (n=264)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>n</b></td><td><b>(%)</b></td><td><b>n</b></td><td><b>(%)</b></td><td><b>n</b></td><td><b>(%)</b></td><td><b>n</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Married</td><td>6728</td><td>(96.0)</td><td>863</td><td>(96.5)</td><td>5655</td><td>(96.7)</td><td>210</td><td>[EMPTY_CELL]</td></tr><tr><td>Rural residence</td><td>3997</td><td>(57.0)</td><td>325</td><td>(36.4)</td><td>3592</td><td>(61.4)</td><td>80</td><td>[EMPTY_CELL]</td></tr><tr><td>Literate</td><td>5215</td><td>(74.4)</td><td>615</td><td>(68.8)</td><td>4364</td><td>(74.6)</td><td>236</td><td>[EMPTY_CELL]</td></tr><tr><td>Education</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> None</td><td>1792</td><td>(25.6)</td><td>279</td><td>(31.2)</td><td>1485</td><td>(25.4)</td><td>28</td><td>[EMPTY_CELL]</td></tr><tr><td> Primary or some secondary</td><td>3010</td><td>(43.0)</td><td>244</td><td>(27.3)</td><td>2657</td><td>(45.4)</td><td>109</td><td>[EMPTY_CELL]</td></tr><tr><td> School Leaving Certificate or higher</td><td>2205</td><td>(31.5)</td><td>371</td><td>(41.5)</td><td>1707</td><td>(29.2)</td><td>127</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Mean</b></td><td><b>(sd)</b></td><td><b>Mean</b></td><td><b>(sd)</b></td><td><b>Mean</b></td><td><b>(sd)</b></td><td><b>Mean</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Age, years</td><td>26.9</td><td>(5.80)</td><td>27.2</td><td>(5.68)</td><td>26.9</td><td>(5.79)</td><td>26.0</td><td>[EMPTY_CELL]</td></tr><tr><td>Gravidity</td><td>3.2</td><td>(1.63)</td><td>3.1</td><td>(1.40)</td><td>3.3</td><td>(1.66)</td><td>2.5</td><td>[EMPTY_CELL]</td></tr><tr><td>Parity</td><td>1.8</td><td>(1.36)</td><td>1.9</td><td>(1.28)</td><td>1.9</td><td>(1.37)</td><td>1.2</td><td>[EMPTY_CELL]</td></tr><tr><td>Pregnancy duration, weeks</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Last menstrual period (n=6539)</td><td>7.1</td><td>(1.64)</td><td>7.3</td><td>(1.46)</td><td>7.0</td><td>(1.66)</td><td>7.3</td><td>[EMPTY_CELL]</td></tr><tr><td> Clinical exam (n = 6307)</td><td>7.4</td><td>(1.75)</td><td>7.6</td><td>(1.54)</td><td>7.4</td><td>(1.78)</td><td>7.3</td><td>[EMPTY_CELL]</td></tr><tr><td> Ultrasound (n = 25)</td><td>7.9</td><td>(1.96)</td><td>7.7</td><td>(1.89)</td><td>8.7</td><td>(2.52)</td><td>8.5</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>n</b></td><td><b>(%)</b></td><td><b>n</b></td><td><b>(%)</b></td><td><b>n</b></td><td><b>(%)</b></td><td><b>n</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Prophylactic administration of antibiotics</td><td>5277</td><td>(75.3)</td><td>809</td><td>(90.5)</td><td>4217</td><td>(72.1)</td><td>251</td><td>[EMPTY_CELL]</td></tr><tr><td>Post-abortion contraceptive method</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No method accepted</td><td>1328</td><td>(19.0)</td><td>134</td><td>(15.0)</td><td>1180</td><td>(20.2)</td><td>14</td><td>[EMPTY_CELL]</td></tr><tr><td> Condom</td><td>2715</td><td>(38.8)</td><td>103</td><td>(11.5)</td><td>2555</td><td>(43.7)</td><td>57</td><td>[EMPTY_CELL]</td></tr><tr><td> Depo Provera</td><td>1461</td><td>(20.9)</td><td>343</td><td>(38.4)</td><td>1022</td><td>(17.5)</td><td>96</td><td>[EMPTY_CELL]</td></tr><tr><td> Pills</td><td>1035</td><td>(14.8)</td><td>175</td><td>(19.6)</td><td>790</td><td>(13.5)</td><td>70</td><td>[EMPTY_CELL]</td></tr><tr><td> Norplant</td><td>136</td><td>(1.9)</td><td>11</td><td>(1.2)</td><td>124</td><td>(2.1)</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> IUD/IUCD</td><td>237</td><td>(3.4)</td><td>76</td><td>(8.5)</td><td>140</td><td>(2.4)</td><td>21</td><td>[EMPTY_CELL]</td></tr><tr><td> Sterilization</td><td>95</td><td>(1.4)</td><td>52</td><td>(5.8)</td><td>38</td><td>(0.7)</td><td>5</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Overall (n=7,007)</b>\", \"bbox\": [148, 4, 209, 13]}, {\"cell\": \"<b>Government (n=894)</b>\", \"bbox\": [233, 4, 307, 13]}, {\"cell\": \"<b>NGO (n=5,849)</b>\", \"bbox\": [332, 4, 385, 13]}, {\"cell\": \"<b>Private (n=264)</b>\", \"bbox\": [409, 4, 464, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n</b>\", \"bbox\": [181, 17, 188, 26]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [192, 17, 205, 26]}, {\"cell\": \"<b>n</b>\", \"bbox\": [273, 17, 280, 26]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [284, 17, 297, 26]}, {\"cell\": \"<b>n</b>\", \"bbox\": [361, 17, 367, 26]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [371, 17, 385, 26]}, {\"cell\": \"<b>n</b>\", \"bbox\": [439, 17, 446, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 17, 463, 26]}, {\"cell\": \"Married\", \"bbox\": [1, 30, 27, 40]}, {\"cell\": \"6728\", \"bbox\": [170, 30, 188, 40]}, {\"cell\": \"(96.0)\", \"bbox\": [192, 30, 210, 40]}, {\"cell\": \"863\", \"bbox\": [266, 30, 280, 40]}, {\"cell\": \"(96.5)\", \"bbox\": [284, 30, 302, 40]}, {\"cell\": \"5655\", \"bbox\": [350, 30, 368, 40]}, {\"cell\": \"(96.7)\", \"bbox\": [371, 30, 390, 40]}, {\"cell\": \"210\", \"bbox\": [432, 30, 446, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 30, 469, 40]}, {\"cell\": \"Rural residence\", \"bbox\": [1, 44, 51, 53]}, {\"cell\": \"3997\", \"bbox\": [170, 44, 188, 53]}, {\"cell\": \"(57.0)\", \"bbox\": [192, 44, 210, 53]}, {\"cell\": \"325\", \"bbox\": [266, 44, 280, 53]}, {\"cell\": \"(36.4)\", \"bbox\": [284, 44, 302, 53]}, {\"cell\": \"3592\", \"bbox\": [350, 44, 368, 53]}, {\"cell\": \"(61.4)\", \"bbox\": [371, 44, 390, 53]}, {\"cell\": \"80\", \"bbox\": [436, 44, 446, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 44, 469, 53]}, {\"cell\": \"Literate\", \"bbox\": [1, 57, 26, 66]}, {\"cell\": \"5215\", \"bbox\": [170, 57, 188, 66]}, {\"cell\": \"(74.4)\", \"bbox\": [192, 57, 210, 66]}, {\"cell\": \"615\", \"bbox\": [266, 57, 280, 66]}, {\"cell\": \"(68.8)\", \"bbox\": [284, 57, 302, 66]}, {\"cell\": \"4364\", \"bbox\": [350, 57, 368, 66]}, {\"cell\": \"(74.6)\", \"bbox\": [371, 57, 390, 66]}, {\"cell\": \"236\", \"bbox\": [432, 57, 446, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 57, 469, 66]}, {\"cell\": \"Education\", \"bbox\": [1, 70, 34, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" None\", \"bbox\": [15, 83, 35, 93]}, {\"cell\": \"1792\", \"bbox\": [170, 83, 188, 93]}, {\"cell\": \"(25.6)\", \"bbox\": [192, 83, 210, 93]}, {\"cell\": \"279\", \"bbox\": [266, 83, 280, 93]}, {\"cell\": \"(31.2)\", \"bbox\": [284, 83, 302, 93]}, {\"cell\": \"1485\", \"bbox\": [350, 83, 368, 93]}, {\"cell\": \"(25.4)\", \"bbox\": [371, 83, 390, 93]}, {\"cell\": \"28\", \"bbox\": [436, 83, 446, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 83, 469, 93]}, {\"cell\": \" Primary or some secondary\", \"bbox\": [15, 96, 105, 106]}, {\"cell\": \"3010\", \"bbox\": [170, 96, 188, 106]}, {\"cell\": \"(43.0)\", \"bbox\": [192, 96, 210, 106]}, {\"cell\": \"244\", \"bbox\": [266, 96, 280, 106]}, {\"cell\": \"(27.3)\", \"bbox\": [284, 96, 302, 106]}, {\"cell\": \"2657\", \"bbox\": [350, 96, 368, 106]}, {\"cell\": \"(45.4)\", \"bbox\": [371, 96, 390, 106]}, {\"cell\": \"109\", \"bbox\": [432, 96, 446, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 96, 469, 106]}, {\"cell\": \" School Leaving Certificate or higher\", \"bbox\": [15, 110, 133, 119]}, {\"cell\": \"2205\", \"bbox\": [170, 110, 188, 119]}, {\"cell\": \"(31.5)\", \"bbox\": [191, 110, 210, 119]}, {\"cell\": \"371\", \"bbox\": [266, 110, 280, 119]}, {\"cell\": \"(41.5)\", \"bbox\": [284, 110, 302, 119]}, {\"cell\": \"1707\", \"bbox\": [350, 110, 368, 119]}, {\"cell\": \"(29.2)\", \"bbox\": [371, 110, 390, 119]}, {\"cell\": \"127\", \"bbox\": [432, 110, 446, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 110, 469, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [166, 123, 188, 131]}, {\"cell\": \"<b>(sd)</b>\", \"bbox\": [191, 123, 206, 131]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [259, 123, 280, 131]}, {\"cell\": \"<b>(sd)</b>\", \"bbox\": [284, 123, 298, 131]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [346, 123, 368, 131]}, {\"cell\": \"<b>(sd)</b>\", \"bbox\": [371, 123, 386, 131]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [425, 123, 446, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 123, 464, 131]}, {\"cell\": \"Age, years\", \"bbox\": [1, 136, 35, 145]}, {\"cell\": \"26.9\", \"bbox\": [173, 136, 188, 145]}, {\"cell\": \"(5.80)\", \"bbox\": [191, 136, 210, 145]}, {\"cell\": \"27.2\", \"bbox\": [265, 136, 280, 145]}, {\"cell\": \"(5.68)\", \"bbox\": [284, 136, 302, 145]}, {\"cell\": \"26.9\", \"bbox\": [353, 136, 367, 145]}, {\"cell\": \"(5.79)\", \"bbox\": [371, 136, 390, 145]}, {\"cell\": \"26.0\", \"bbox\": [431, 136, 446, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 136, 469, 145]}, {\"cell\": \"Gravidity\", \"bbox\": [1, 149, 30, 159]}, {\"cell\": \"3.2\", \"bbox\": [177, 149, 188, 159]}, {\"cell\": \"(1.63)\", \"bbox\": [192, 149, 210, 159]}, {\"cell\": \"3.1\", \"bbox\": [269, 149, 280, 159]}, {\"cell\": \"(1.40)\", \"bbox\": [284, 149, 302, 159]}, {\"cell\": \"3.3\", \"bbox\": [357, 149, 367, 159]}, {\"cell\": \"(1.66)\", \"bbox\": [371, 149, 390, 159]}, {\"cell\": \"2.5\", \"bbox\": [435, 149, 446, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 149, 469, 159]}, {\"cell\": \"Parity\", \"bbox\": [1, 162, 20, 172]}, {\"cell\": \"1.8\", \"bbox\": [177, 162, 188, 172]}, {\"cell\": \"(1.36)\", \"bbox\": [192, 162, 210, 172]}, {\"cell\": \"1.9\", \"bbox\": [269, 162, 280, 172]}, {\"cell\": \"(1.28)\", \"bbox\": [284, 162, 302, 172]}, {\"cell\": \"1.9\", \"bbox\": [357, 162, 367, 172]}, {\"cell\": \"(1.37)\", \"bbox\": [371, 162, 390, 172]}, {\"cell\": \"1.2\", \"bbox\": [435, 162, 446, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 162, 469, 172]}, {\"cell\": \"Pregnancy duration, weeks\", \"bbox\": [1, 176, 89, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Last menstrual period (n=6539)\", \"bbox\": [15, 189, 118, 198]}, {\"cell\": \"7.1\", \"bbox\": [177, 189, 188, 198]}, {\"cell\": \"(1.64)\", \"bbox\": [192, 189, 210, 198]}, {\"cell\": \"7.3\", \"bbox\": [269, 189, 280, 198]}, {\"cell\": \"(1.46)\", \"bbox\": [284, 189, 302, 198]}, {\"cell\": \"7.0\", \"bbox\": [357, 189, 367, 198]}, {\"cell\": \"(1.66)\", \"bbox\": [371, 189, 390, 198]}, {\"cell\": \"7.3\", \"bbox\": [435, 189, 446, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 189, 469, 198]}, {\"cell\": \" Clinical exam (n = 6307)\", \"bbox\": [15, 202, 96, 211]}, {\"cell\": \"7.4\", \"bbox\": [177, 202, 188, 211]}, {\"cell\": \"(1.75)\", \"bbox\": [192, 202, 210, 211]}, {\"cell\": \"7.6\", \"bbox\": [269, 202, 280, 211]}, {\"cell\": \"(1.54)\", \"bbox\": [284, 202, 303, 211]}, {\"cell\": \"7.4\", \"bbox\": [357, 202, 368, 211]}, {\"cell\": \"(1.78)\", \"bbox\": [371, 202, 390, 211]}, {\"cell\": \"7.3\", \"bbox\": [435, 202, 446, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 202, 469, 211]}, {\"cell\": \" Ultrasound (n = 25)\", \"bbox\": [15, 215, 81, 225]}, {\"cell\": \"7.9\", \"bbox\": [177, 215, 188, 225]}, {\"cell\": \"(1.96)\", \"bbox\": [192, 215, 210, 225]}, {\"cell\": \"7.7\", \"bbox\": [269, 215, 280, 225]}, {\"cell\": \"(1.89)\", \"bbox\": [284, 215, 302, 225]}, {\"cell\": \"8.7\", \"bbox\": [357, 215, 367, 225]}, {\"cell\": \"(2.52)\", \"bbox\": [371, 215, 390, 225]}, {\"cell\": \"8.5\", \"bbox\": [435, 215, 446, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 215, 469, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n</b>\", \"bbox\": [181, 228, 188, 237]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [192, 228, 205, 237]}, {\"cell\": \"<b>n</b>\", \"bbox\": [273, 228, 280, 237]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [284, 228, 297, 237]}, {\"cell\": \"<b>n</b>\", \"bbox\": [361, 228, 367, 237]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [371, 228, 385, 237]}, {\"cell\": \"<b>n</b>\", \"bbox\": [439, 228, 446, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 228, 463, 237]}, {\"cell\": \"Prophylactic administration of antibiotics\", \"bbox\": [1, 242, 134, 251]}, {\"cell\": \"5277\", \"bbox\": [170, 242, 188, 251]}, {\"cell\": \"(75.3)\", \"bbox\": [192, 242, 210, 251]}, {\"cell\": \"809\", \"bbox\": [266, 242, 280, 251]}, {\"cell\": \"(90.5)\", \"bbox\": [284, 242, 302, 251]}, {\"cell\": \"4217\", \"bbox\": [350, 242, 368, 251]}, {\"cell\": \"(72.1)\", \"bbox\": [371, 242, 390, 251]}, {\"cell\": \"251\", \"bbox\": [432, 242, 446, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 242, 469, 251]}, {\"cell\": \"Post-abortion contraceptive method\", \"bbox\": [1, 255, 119, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No method accepted\", \"bbox\": [15, 268, 87, 277]}, {\"cell\": \"1328\", \"bbox\": [170, 268, 188, 277]}, {\"cell\": \"(19.0)\", \"bbox\": [192, 268, 210, 277]}, {\"cell\": \"134\", \"bbox\": [266, 268, 280, 277]}, {\"cell\": \"(15.0)\", \"bbox\": [284, 268, 302, 277]}, {\"cell\": \"1180\", \"bbox\": [350, 268, 368, 277]}, {\"cell\": \"(20.2)\", \"bbox\": [371, 268, 390, 277]}, {\"cell\": \"14\", \"bbox\": [436, 268, 446, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 268, 465, 277]}, {\"cell\": \" Condom\", \"bbox\": [15, 281, 45, 291]}, {\"cell\": \"2715\", \"bbox\": [170, 281, 188, 291]}, {\"cell\": \"(38.8)\", \"bbox\": [192, 281, 210, 291]}, {\"cell\": \"103\", \"bbox\": [266, 281, 280, 291]}, {\"cell\": \"(11.5)\", \"bbox\": [284, 281, 302, 291]}, {\"cell\": \"2555\", \"bbox\": [350, 281, 368, 291]}, {\"cell\": \"(43.7)\", \"bbox\": [371, 281, 390, 291]}, {\"cell\": \"57\", \"bbox\": [436, 281, 446, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 281, 469, 291]}, {\"cell\": \" Depo Provera\", \"bbox\": [15, 294, 61, 304]}, {\"cell\": \"1461\", \"bbox\": [170, 294, 188, 304]}, {\"cell\": \"(20.9)\", \"bbox\": [192, 294, 210, 304]}, {\"cell\": \"343\", \"bbox\": [266, 294, 280, 304]}, {\"cell\": \"(38.4)\", \"bbox\": [284, 294, 302, 304]}, {\"cell\": \"1022\", \"bbox\": [350, 294, 368, 304]}, {\"cell\": \"(17.5)\", \"bbox\": [371, 294, 390, 304]}, {\"cell\": \"96\", \"bbox\": [436, 294, 446, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 294, 469, 304]}, {\"cell\": \" Pills\", \"bbox\": [15, 308, 29, 317]}, {\"cell\": \"1035\", \"bbox\": [170, 308, 188, 317]}, {\"cell\": \"(14.8)\", \"bbox\": [192, 308, 210, 317]}, {\"cell\": \"175\", \"bbox\": [266, 308, 280, 317]}, {\"cell\": \"(19.6)\", \"bbox\": [284, 308, 302, 317]}, {\"cell\": \"790\", \"bbox\": [354, 308, 367, 317]}, {\"cell\": \"(13.5)\", \"bbox\": [371, 308, 390, 317]}, {\"cell\": \"70\", \"bbox\": [436, 308, 446, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 308, 469, 317]}, {\"cell\": \" Norplant\", \"bbox\": [15, 321, 45, 330]}, {\"cell\": \"136\", \"bbox\": [174, 321, 188, 330]}, {\"cell\": \"(1.9)\", \"bbox\": [192, 321, 207, 330]}, {\"cell\": \"11\", \"bbox\": [270, 321, 280, 330]}, {\"cell\": \"(1.2)\", \"bbox\": [284, 321, 299, 330]}, {\"cell\": \"124\", \"bbox\": [354, 321, 367, 330]}, {\"cell\": \"(2.1)\", \"bbox\": [371, 321, 387, 330]}, {\"cell\": \"1\", \"bbox\": [440, 321, 446, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 321, 465, 330]}, {\"cell\": \" IUD/IUCD\", \"bbox\": [15, 334, 48, 343]}, {\"cell\": \"237\", \"bbox\": [174, 334, 188, 343]}, {\"cell\": \"(3.4)\", \"bbox\": [192, 334, 207, 343]}, {\"cell\": \"76\", \"bbox\": [270, 334, 280, 343]}, {\"cell\": \"(8.5)\", \"bbox\": [284, 334, 299, 343]}, {\"cell\": \"140\", \"bbox\": [354, 334, 368, 343]}, {\"cell\": \"(2.4)\", \"bbox\": [371, 334, 387, 343]}, {\"cell\": \"21\", \"bbox\": [436, 334, 446, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 334, 465, 343]}, {\"cell\": \" Sterilization\", \"bbox\": [15, 347, 54, 357]}, {\"cell\": \"95\", \"bbox\": [178, 347, 188, 357]}, {\"cell\": \"(1.4)\", \"bbox\": [192, 347, 207, 357]}, {\"cell\": \"52\", \"bbox\": [270, 347, 280, 357]}, {\"cell\": \"(5.8)\", \"bbox\": [284, 347, 299, 357]}, {\"cell\": \"38\", \"bbox\": [358, 347, 367, 357]}, {\"cell\": \"(0.7)\", \"bbox\": [371, 347, 387, 357]}, {\"cell\": \"5\", \"bbox\": [440, 347, 446, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 347, 465, 357]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3315730_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}247{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Characteristics</b></td><td colspan=\\\"2\\\"><b>Frequency (%) and median (IQR)</b></td></tr><tr><td><b>County hospital (n=234)</b></td><td><b>Township hospital (n=480)</b></td><td><b>Total (n=714)</b></td></tr></thead><tbody><tr><td>Access to blood culture</td><td>150 (64.1)</td><td>[EMPTY_CELL]</td><td>407 (57.0)</td></tr><tr><td>Medical expense for illness† (median, IQR)</td><td>263.9 (190.8, 389)</td><td>[EMPTY_CELL]</td><td>264 (180.1, 424.2)</td></tr><tr><td>Percentage of reimbursement for all types of payment (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>0–10</td><td>193 (82.5)</td><td>[EMPTY_CELL]</td><td>389 (54.5)</td></tr><tr><td>11–50</td><td>21 (9)</td><td>[EMPTY_CELL]</td><td>261 (36.6)</td></tr><tr><td>51–100</td><td>20 (8.5)</td><td>[EMPTY_CELL]</td><td>64 (9)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [6, 17, 69, 28]}, {\"cell\": \"<b>Frequency (%) and median (IQR)</b>\", \"bbox\": [239, 4, 379, 16]}, {\"cell\": \"<b>County hospital (n=234)</b>\", \"bbox\": [186, 18, 256, 41]}, {\"cell\": \"<b>Township hospital (n=480)</b>\", \"bbox\": [270, 18, 349, 41]}, {\"cell\": \"<b>Total (n=714)</b>\", \"bbox\": [368, 24, 426, 35]}, {\"cell\": \"Access to blood culture\", \"bbox\": [6, 43, 104, 55]}, {\"cell\": \"150 (64.1)\", \"bbox\": [199, 43, 243, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [287, 43, 331, 55]}, {\"cell\": \"407 (57.0)\", \"bbox\": [375, 43, 419, 55]}, {\"cell\": \"Medical expense for illness† (median, IQR)\", \"bbox\": [6, 57, 173, 69]}, {\"cell\": \"263.9 (190.8, 389)\", \"bbox\": [183, 57, 260, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [270, 57, 348, 69]}, {\"cell\": \"264 (180.1, 424.2)\", \"bbox\": [358, 57, 436, 69]}, {\"cell\": \"Percentage of reimbursement for all types of payment (%)\", \"bbox\": [6, 71, 156, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0–10\", \"bbox\": [11, 96, 32, 108]}, {\"cell\": \"193 (82.5)\", \"bbox\": [199, 96, 243, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [287, 96, 331, 108]}, {\"cell\": \"389 (54.5)\", \"bbox\": [375, 96, 419, 108]}, {\"cell\": \"11–50\", \"bbox\": [11, 109, 37, 120]}, {\"cell\": \"21 (9)\", \"bbox\": [208, 109, 235, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [291, 109, 328, 120]}, {\"cell\": \"261 (36.6)\", \"bbox\": [375, 109, 419, 120]}, {\"cell\": \"51–100\", \"bbox\": [11, 122, 42, 133]}, {\"cell\": \"20 (8.5)\", \"bbox\": [204, 122, 238, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 122, 326, 133]}, {\"cell\": \"64 (9)\", \"bbox\": [384, 122, 410, 133]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2975846_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}248{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>First author</b></td><td><b>Year</b></td><td><b>Country</b></td><td><b>Ethnicity</b></td><td colspan=\\\"2\\\"><b>Sample size</b></td><td colspan=\\\"6\\\"><b>Cases</b></td><td colspan=\\\"6\\\"><b>Controls</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Cases</b></td><td><b>Controls</b></td><td><b>ε2/2</b></td><td><b>ε2/3</b></td><td><b>ε2/4</b></td><td><b>ε3/3</b></td><td><b>ε3/4</b></td><td><b>ε4/4</b></td><td><b>ε2/2</b></td><td><b>ε2/3</b></td><td><b>ε2/4</b></td><td><b>ε3/3</b></td><td><b>ε3/4</b></td><td><b>ε4/4</b></td></tr></thead><tbody><tr><td>Vickers</td><td>2002</td><td>Australia</td><td>Other</td><td>142</td><td>51</td><td>6</td><td>8</td><td>7</td><td>78</td><td>42</td><td>1</td><td>2</td><td>[EMPTY_CELL]</td><td>2</td><td>30</td><td>6</td><td>2</td></tr><tr><td>Lake</td><td>2004</td><td>UK</td><td>Caucasian</td><td>155</td><td>349</td><td>1</td><td>16</td><td>10</td><td>91</td><td>31</td><td>6</td><td>3</td><td>[EMPTY_CELL]</td><td>13</td><td>208</td><td>81</td><td>7</td></tr><tr><td>Mabuchi</td><td>2005</td><td>Japan</td><td>Asian</td><td>310</td><td>179</td><td>0</td><td>14</td><td>2</td><td>259</td><td>35</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>123</td><td>38</td><td>0</td></tr><tr><td>Fan</td><td>2005</td><td>China</td><td>Asian</td><td>400</td><td>281</td><td>0</td><td>74</td><td>5</td><td>280</td><td>40</td><td>1</td><td>0</td><td>[EMPTY_CELL]</td><td>8</td><td>189</td><td>44</td><td>0</td></tr><tr><td>Lam</td><td>2006</td><td>China</td><td>Asian</td><td>400</td><td>300</td><td>0</td><td>74</td><td>5</td><td>280</td><td>40</td><td>1</td><td>0</td><td>[EMPTY_CELL]</td><td>8</td><td>203</td><td>47</td><td>0</td></tr><tr><td>Tamura</td><td>2006</td><td>Japan</td><td>Asian</td><td>28</td><td>77</td><td>0</td><td>2</td><td>1</td><td>16</td><td>8</td><td>1</td><td>2</td><td>[EMPTY_CELL]</td><td>1</td><td>61</td><td>6</td><td>0</td></tr><tr><td>Zetterberg</td><td>2007</td><td>Sweden</td><td>Caucasian</td><td>242</td><td>187</td><td>1</td><td>42</td><td>6</td><td>145</td><td>44</td><td>4</td><td>2</td><td>[EMPTY_CELL]</td><td>4</td><td>110</td><td>35</td><td>2</td></tr><tr><td>Saglar</td><td>2009</td><td>Turkey</td><td>Caucasian</td><td>75</td><td>119</td><td>0</td><td>12</td><td>1</td><td>53</td><td>8</td><td>1</td><td>0</td><td>[EMPTY_CELL]</td><td>1</td><td>88</td><td>19</td><td>2</td></tr><tr><td>Jia</td><td>2009</td><td>China</td><td>Asian</td><td>176</td><td>200</td><td>2</td><td>25</td><td>5</td><td>112</td><td>29</td><td>3</td><td>1</td><td>[EMPTY_CELL]</td><td>4</td><td>136</td><td>28</td><td>2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>First author</b>\", \"bbox\": [1, 15, 39, 27]}, {\"cell\": \"<b>Year</b>\", \"bbox\": [55, 15, 71, 27]}, {\"cell\": \"<b>Country</b>\", \"bbox\": [85, 15, 112, 27]}, {\"cell\": \"<b>Ethnicity</b>\", \"bbox\": [132, 15, 161, 27]}, {\"cell\": \"<b>Sample size</b>\", \"bbox\": [187, 14, 226, 26]}, {\"cell\": \"<b>Cases</b>\", \"bbox\": [256, 14, 277, 26]}, {\"cell\": \"<b>Controls</b>\", \"bbox\": [376, 14, 405, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Cases</b>\", \"bbox\": [187, 26, 208, 38]}, {\"cell\": \"<b>Controls</b>\", \"bbox\": [216, 26, 244, 38]}, {\"cell\": \"<b>ε2/2</b>\", \"bbox\": [256, 26, 270, 38]}, {\"cell\": \"<b>ε2/3</b>\", \"bbox\": [274, 26, 288, 38]}, {\"cell\": \"<b>ε2/4</b>\", \"bbox\": [293, 26, 308, 38]}, {\"cell\": \"<b>ε3/3</b>\", \"bbox\": [313, 26, 327, 38]}, {\"cell\": \"<b>ε3/4</b>\", \"bbox\": [338, 26, 353, 38]}, {\"cell\": \"<b>ε4/4</b>\", \"bbox\": [358, 26, 372, 38]}, {\"cell\": \"<b>ε2/2</b>\", \"bbox\": [376, 26, 391, 38]}, {\"cell\": \"<b>ε2/3</b>\", \"bbox\": [395, 26, 409, 38]}, {\"cell\": \"<b>ε2/4</b>\", \"bbox\": [414, 26, 428, 38]}, {\"cell\": \"<b>ε3/3</b>\", \"bbox\": [434, 26, 448, 38]}, {\"cell\": \"<b>ε3/4</b>\", \"bbox\": [459, 26, 473, 38]}, {\"cell\": \"<b>ε4/4</b>\", \"bbox\": [479, 26, 493, 38]}, {\"cell\": \"Vickers\", \"bbox\": [1, 38, 24, 49]}, {\"cell\": \"2002\", \"bbox\": [55, 38, 71, 49]}, {\"cell\": \"Australia\", \"bbox\": [85, 38, 112, 49]}, {\"cell\": \"Other\", \"bbox\": [132, 38, 150, 49]}, {\"cell\": \"142\", \"bbox\": [187, 38, 200, 49]}, {\"cell\": \"51\", \"bbox\": [216, 38, 225, 49]}, {\"cell\": \"6\", \"bbox\": [256, 38, 261, 49]}, {\"cell\": \"8\", \"bbox\": [274, 38, 279, 49]}, {\"cell\": \"7\", \"bbox\": [293, 38, 299, 49]}, {\"cell\": \"78\", \"bbox\": [313, 38, 322, 49]}, {\"cell\": \"42\", \"bbox\": [338, 38, 348, 49]}, {\"cell\": \"1\", \"bbox\": [358, 38, 364, 49]}, {\"cell\": \"2\", \"bbox\": [376, 38, 382, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 38, 400, 49]}, {\"cell\": \"2\", \"bbox\": [414, 38, 420, 49]}, {\"cell\": \"30\", \"bbox\": [434, 38, 443, 49]}, {\"cell\": \"6\", \"bbox\": [459, 38, 465, 49]}, {\"cell\": \"2\", \"bbox\": [479, 38, 485, 49]}, {\"cell\": \"Lake\", \"bbox\": [1, 49, 17, 60]}, {\"cell\": \"2004\", \"bbox\": [55, 49, 71, 60]}, {\"cell\": \"UK\", \"bbox\": [85, 49, 96, 60]}, {\"cell\": \"Caucasian\", \"bbox\": [132, 49, 165, 60]}, {\"cell\": \"155\", \"bbox\": [187, 49, 200, 60]}, {\"cell\": \"349\", \"bbox\": [216, 49, 228, 60]}, {\"cell\": \"1\", \"bbox\": [256, 49, 261, 60]}, {\"cell\": \"16\", \"bbox\": [274, 49, 283, 60]}, {\"cell\": \"10\", \"bbox\": [293, 49, 303, 60]}, {\"cell\": \"91\", \"bbox\": [313, 49, 322, 60]}, {\"cell\": \"31\", \"bbox\": [338, 49, 348, 60]}, {\"cell\": \"6\", \"bbox\": [358, 49, 364, 60]}, {\"cell\": \"3\", \"bbox\": [376, 49, 382, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 49, 404, 60]}, {\"cell\": \"13\", \"bbox\": [414, 49, 424, 60]}, {\"cell\": \"208\", \"bbox\": [434, 49, 447, 60]}, {\"cell\": \"81\", \"bbox\": [459, 49, 469, 60]}, {\"cell\": \"7\", \"bbox\": [479, 49, 485, 60]}, {\"cell\": \"Mabuchi\", \"bbox\": [1, 60, 27, 71]}, {\"cell\": \"2005\", \"bbox\": [55, 60, 71, 71]}, {\"cell\": \"Japan\", \"bbox\": [85, 60, 105, 71]}, {\"cell\": \"Asian\", \"bbox\": [132, 60, 150, 71]}, {\"cell\": \"310\", \"bbox\": [187, 60, 200, 71]}, {\"cell\": \"179\", \"bbox\": [216, 60, 228, 71]}, {\"cell\": \"0\", \"bbox\": [256, 60, 261, 71]}, {\"cell\": \"14\", \"bbox\": [274, 60, 283, 71]}, {\"cell\": \"2\", \"bbox\": [293, 60, 299, 71]}, {\"cell\": \"259\", \"bbox\": [313, 60, 326, 71]}, {\"cell\": \"35\", \"bbox\": [338, 60, 348, 71]}, {\"cell\": \"0\", \"bbox\": [358, 60, 364, 71]}, {\"cell\": \"0\", \"bbox\": [376, 60, 382, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 60, 404, 71]}, {\"cell\": \"0\", \"bbox\": [414, 60, 420, 71]}, {\"cell\": \"123\", \"bbox\": [434, 60, 447, 71]}, {\"cell\": \"38\", \"bbox\": [459, 60, 469, 71]}, {\"cell\": \"0\", \"bbox\": [479, 60, 485, 71]}, {\"cell\": \"Fan\", \"bbox\": [1, 71, 14, 82]}, {\"cell\": \"2005\", \"bbox\": [55, 71, 71, 82]}, {\"cell\": \"China\", \"bbox\": [85, 71, 104, 82]}, {\"cell\": \"Asian\", \"bbox\": [132, 71, 150, 82]}, {\"cell\": \"400\", \"bbox\": [187, 71, 200, 82]}, {\"cell\": \"281\", \"bbox\": [216, 71, 228, 82]}, {\"cell\": \"0\", \"bbox\": [256, 71, 261, 82]}, {\"cell\": \"74\", \"bbox\": [274, 71, 283, 82]}, {\"cell\": \"5\", \"bbox\": [293, 71, 299, 82]}, {\"cell\": \"280\", \"bbox\": [313, 71, 326, 82]}, {\"cell\": \"40\", \"bbox\": [338, 71, 348, 82]}, {\"cell\": \"1\", \"bbox\": [358, 71, 364, 82]}, {\"cell\": \"0\", \"bbox\": [376, 71, 382, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 71, 404, 82]}, {\"cell\": \"8\", \"bbox\": [414, 71, 420, 82]}, {\"cell\": \"189\", \"bbox\": [434, 71, 447, 82]}, {\"cell\": \"44\", \"bbox\": [459, 71, 469, 82]}, {\"cell\": \"0\", \"bbox\": [479, 71, 485, 82]}, {\"cell\": \"Lam\", \"bbox\": [1, 82, 15, 93]}, {\"cell\": \"2006\", \"bbox\": [55, 82, 71, 93]}, {\"cell\": \"China\", \"bbox\": [85, 82, 104, 93]}, {\"cell\": \"Asian\", \"bbox\": [132, 82, 150, 93]}, {\"cell\": \"400\", \"bbox\": [187, 82, 200, 93]}, {\"cell\": \"300\", \"bbox\": [216, 82, 228, 93]}, {\"cell\": \"0\", \"bbox\": [256, 82, 261, 93]}, {\"cell\": \"74\", \"bbox\": [274, 82, 283, 93]}, {\"cell\": \"5\", \"bbox\": [293, 82, 299, 93]}, {\"cell\": \"280\", \"bbox\": [313, 82, 326, 93]}, {\"cell\": \"40\", \"bbox\": [338, 82, 348, 93]}, {\"cell\": \"1\", \"bbox\": [358, 82, 364, 93]}, {\"cell\": \"0\", \"bbox\": [376, 82, 382, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 82, 404, 93]}, {\"cell\": \"8\", \"bbox\": [414, 82, 420, 93]}, {\"cell\": \"203\", \"bbox\": [434, 82, 447, 93]}, {\"cell\": \"47\", \"bbox\": [459, 82, 469, 93]}, {\"cell\": \"0\", \"bbox\": [479, 82, 485, 93]}, {\"cell\": \"Tamura\", \"bbox\": [1, 93, 25, 104]}, {\"cell\": \"2006\", \"bbox\": [55, 93, 71, 104]}, {\"cell\": \"Japan\", \"bbox\": [85, 93, 105, 104]}, {\"cell\": \"Asian\", \"bbox\": [132, 93, 150, 104]}, {\"cell\": \"28\", \"bbox\": [187, 93, 196, 104]}, {\"cell\": \"77\", \"bbox\": [216, 93, 225, 104]}, {\"cell\": \"0\", \"bbox\": [256, 93, 261, 104]}, {\"cell\": \"2\", \"bbox\": [274, 93, 279, 104]}, {\"cell\": \"1\", \"bbox\": [293, 93, 299, 104]}, {\"cell\": \"16\", \"bbox\": [313, 93, 322, 104]}, {\"cell\": \"8\", \"bbox\": [338, 93, 344, 104]}, {\"cell\": \"1\", \"bbox\": [358, 93, 364, 104]}, {\"cell\": \"2\", \"bbox\": [376, 93, 382, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 93, 400, 104]}, {\"cell\": \"1\", \"bbox\": [414, 93, 420, 104]}, {\"cell\": \"61\", \"bbox\": [434, 93, 443, 104]}, {\"cell\": \"6\", \"bbox\": [459, 93, 465, 104]}, {\"cell\": \"0\", \"bbox\": [479, 93, 485, 104]}, {\"cell\": \"Zetterberg\", \"bbox\": [1, 104, 32, 115]}, {\"cell\": \"2007\", \"bbox\": [55, 104, 71, 115]}, {\"cell\": \"Sweden\", \"bbox\": [85, 104, 111, 115]}, {\"cell\": \"Caucasian\", \"bbox\": [132, 104, 165, 115]}, {\"cell\": \"242\", \"bbox\": [187, 104, 200, 115]}, {\"cell\": \"187\", \"bbox\": [216, 104, 228, 115]}, {\"cell\": \"1\", \"bbox\": [256, 104, 261, 115]}, {\"cell\": \"42\", \"bbox\": [274, 104, 283, 115]}, {\"cell\": \"6\", \"bbox\": [293, 104, 299, 115]}, {\"cell\": \"145\", \"bbox\": [313, 104, 326, 115]}, {\"cell\": \"44\", \"bbox\": [338, 104, 348, 115]}, {\"cell\": \"4\", \"bbox\": [358, 104, 364, 115]}, {\"cell\": \"2\", \"bbox\": [376, 104, 382, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 104, 404, 115]}, {\"cell\": \"4\", \"bbox\": [414, 104, 420, 115]}, {\"cell\": \"110\", \"bbox\": [434, 104, 447, 115]}, {\"cell\": \"35\", \"bbox\": [459, 104, 469, 115]}, {\"cell\": \"2\", \"bbox\": [479, 104, 485, 115]}, {\"cell\": \"Saglar\", \"bbox\": [1, 115, 21, 126]}, {\"cell\": \"2009\", \"bbox\": [55, 115, 71, 126]}, {\"cell\": \"Turkey\", \"bbox\": [85, 115, 107, 126]}, {\"cell\": \"Caucasian\", \"bbox\": [132, 115, 165, 126]}, {\"cell\": \"75\", \"bbox\": [187, 115, 196, 126]}, {\"cell\": \"119\", \"bbox\": [216, 115, 228, 126]}, {\"cell\": \"0\", \"bbox\": [256, 115, 261, 126]}, {\"cell\": \"12\", \"bbox\": [274, 115, 283, 126]}, {\"cell\": \"1\", \"bbox\": [293, 115, 299, 126]}, {\"cell\": \"53\", \"bbox\": [313, 115, 322, 126]}, {\"cell\": \"8\", \"bbox\": [338, 115, 344, 126]}, {\"cell\": \"1\", \"bbox\": [358, 115, 364, 126]}, {\"cell\": \"0\", \"bbox\": [376, 115, 382, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 115, 400, 126]}, {\"cell\": \"1\", \"bbox\": [414, 115, 420, 126]}, {\"cell\": \"88\", \"bbox\": [434, 115, 443, 126]}, {\"cell\": \"19\", \"bbox\": [459, 115, 469, 126]}, {\"cell\": \"2\", \"bbox\": [479, 115, 485, 126]}, {\"cell\": \"Jia\", \"bbox\": [1, 126, 11, 137]}, {\"cell\": \"2009\", \"bbox\": [55, 126, 71, 137]}, {\"cell\": \"China\", \"bbox\": [85, 126, 104, 137]}, {\"cell\": \"Asian\", \"bbox\": [132, 126, 150, 137]}, {\"cell\": \"176\", \"bbox\": [187, 126, 200, 137]}, {\"cell\": \"200\", \"bbox\": [216, 126, 228, 137]}, {\"cell\": \"2\", \"bbox\": [256, 126, 261, 137]}, {\"cell\": \"25\", \"bbox\": [274, 126, 283, 137]}, {\"cell\": \"5\", \"bbox\": [293, 126, 299, 137]}, {\"cell\": \"112\", \"bbox\": [313, 126, 326, 137]}, {\"cell\": \"29\", \"bbox\": [338, 126, 348, 137]}, {\"cell\": \"3\", \"bbox\": [358, 126, 364, 137]}, {\"cell\": \"1\", \"bbox\": [376, 126, 382, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 126, 404, 137]}, {\"cell\": \"4\", \"bbox\": [414, 126, 420, 137]}, {\"cell\": \"136\", \"bbox\": [434, 126, 447, 137]}, {\"cell\": \"28\", \"bbox\": [459, 126, 469, 137]}, {\"cell\": \"2\", \"bbox\": [479, 126, 485, 137]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3842323_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}249{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Latent threat identified</b></td><td><b>Implemented change</b></td></tr></thead><tbody><tr><td>Insufficient knowledge and skills to use an intraosseous needle</td><td>[EMPTY_CELL]</td></tr><tr><td>Deficient team performance regarding leadership, role allocation and resuscitation calls</td><td>[EMPTY_CELL]</td></tr><tr><td>Insufficient handover (lack of information, information unclear, not structured)</td><td>[EMPTY_CELL]</td></tr><tr><td>Fixation resulting in a loss of awareness of time during critical events at the emergency department</td><td>[EMPTY_CELL]</td></tr><tr><td>Failures and time delay to drawn up adrenaline (epinephrine)</td><td>[EMPTY_CELL]</td></tr><tr><td>Insufficient resuscitation equipment at the wards and the emergency department for adults</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Latent threat identified</b>\", \"bbox\": [1, 4, 76, 13]}, {\"cell\": \"<b>Implemented change</b>\", \"bbox\": [259, 4, 331, 13]}, {\"cell\": \"Insufficient knowledge and skills to use an intraosseous needle\", \"bbox\": [1, 17, 204, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 17, 435, 27]}, {\"cell\": \"Deficient team performance regarding leadership, role allocation and resuscitation calls\", \"bbox\": [1, 31, 210, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 31, 467, 50]}, {\"cell\": \"Insufficient handover (lack of information, information unclear, not structured)\", \"bbox\": [1, 54, 202, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 54, 484, 73]}, {\"cell\": \"Fixation resulting in a loss of awareness of time during critical events at the emergency department\", \"bbox\": [1, 77, 201, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 77, 464, 87]}, {\"cell\": \"Failures and time delay to drawn up adrenaline (epinephrine)\", \"bbox\": [1, 100, 200, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 100, 475, 119]}, {\"cell\": \"Insufficient resuscitation equipment at the wards and the emergency department for adults\", \"bbox\": [1, 123, 225, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 123, 471, 142]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4625566_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}250{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Full population (excluding those with regular visits) (n = 20,041)</b></td><td><b>Regular visits sub-cohort (n = 9812)</b></td></tr></thead><tbody><tr><td>Age, mean years (SD)</td><td>57.9 (13.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Sex, <i>n</i> female (%)</td><td>15,193 (76.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Duration of RA, mean years (SD)</td><td>9.1 (9.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Disabled, <i>n</i> (%)</td><td>2439 (12.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Patient pain<sup>a</sup>, mean score (SD)</td><td>34.6 (27.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>TJC28, mean <i>n</i> (SD)</td><td>4.6 (6.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>SJC28, mean <i>n</i> (SD)</td><td>4.5 (5.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>PtGA, mean score (SD)</td><td>32.0 (26.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>PGA, mean score (SD)</td><td>25.7 (21.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>CDAI, mean score (SD)</td><td>14.8 (13.3)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">CDAI category, <i>n</i> (%)</td></tr><tr><td> Low (score >2.8 to ≤10)</td><td>9435 (47.1)</td><td>[EMPTY_CELL]</td></tr><tr><td> Moderate (score >10 to ≤22)</td><td>5674 (28.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Severe (score >22)</td><td>4929 (24.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>History of biologic DMARD use, <i>n</i> (%)</td><td>9411 (47.0)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Full population (excluding those with regular visits) (n = 20,041)</b>\", \"bbox\": [180, 4, 346, 22]}, {\"cell\": \"<b>Regular visits sub-cohort (n = 9812)</b>\", \"bbox\": [404, 4, 484, 22]}, {\"cell\": \"Age, mean years (SD)\", \"bbox\": [1, 26, 71, 36]}, {\"cell\": \"57.9 (13.4)\", \"bbox\": [180, 26, 214, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 26, 438, 36]}, {\"cell\": \"Sex, <i>n</i> female (%)\", \"bbox\": [1, 40, 57, 50]}, {\"cell\": \"15,193 (76.3)\", \"bbox\": [180, 40, 222, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 40, 441, 50]}, {\"cell\": \"Duration of RA, mean years (SD)\", \"bbox\": [1, 54, 106, 64]}, {\"cell\": \"9.1 (9.7)\", \"bbox\": [180, 54, 206, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 54, 431, 64]}, {\"cell\": \"Disabled, <i>n</i> (%)\", \"bbox\": [1, 68, 50, 78]}, {\"cell\": \"2439 (12.3)\", \"bbox\": [180, 68, 216, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 68, 441, 78]}, {\"cell\": \"Patient pain<sup>a</sup>, mean score (SD)\", \"bbox\": [1, 80, 100, 92]}, {\"cell\": \"34.6 (27.7)\", \"bbox\": [180, 82, 214, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 82, 438, 92]}, {\"cell\": \"TJC28, mean <i>n</i> (SD)\", \"bbox\": [1, 96, 65, 106]}, {\"cell\": \"4.6 (6.2)\", \"bbox\": [180, 96, 206, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 96, 431, 106]}, {\"cell\": \"SJC28, mean <i>n</i> (SD)\", \"bbox\": [1, 110, 65, 120]}, {\"cell\": \"4.5 (5.6)\", \"bbox\": [180, 110, 206, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 110, 431, 120]}, {\"cell\": \"PtGA, mean score (SD)\", \"bbox\": [1, 124, 75, 134]}, {\"cell\": \"32.0 (26.7)\", \"bbox\": [180, 124, 214, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 124, 438, 134]}, {\"cell\": \"PGA, mean score (SD)\", \"bbox\": [1, 138, 72, 148]}, {\"cell\": \"25.7 (21.9)\", \"bbox\": [180, 138, 214, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 138, 438, 148]}, {\"cell\": \"CDAI, mean score (SD)\", \"bbox\": [1, 152, 75, 162]}, {\"cell\": \"14.8 (13.3)\", \"bbox\": [180, 152, 214, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 152, 438, 162]}, {\"cell\": \"CDAI category, <i>n</i> (%)\", \"bbox\": [1, 166, 69, 176]}, {\"cell\": \" Low (score >2.8 to ≤10)\", \"bbox\": [8, 180, 88, 190]}, {\"cell\": \"9435 (47.1)\", \"bbox\": [180, 180, 216, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 180, 441, 190]}, {\"cell\": \" Moderate (score >10 to ≤22)\", \"bbox\": [8, 194, 104, 204]}, {\"cell\": \"5674 (28.3)\", \"bbox\": [180, 194, 216, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 194, 441, 204]}, {\"cell\": \" Severe (score >22)\", \"bbox\": [8, 208, 70, 218]}, {\"cell\": \"4929 (24.6)\", \"bbox\": [180, 208, 216, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 208, 441, 218]}, {\"cell\": \"History of biologic DMARD use, <i>n</i> (%)\", \"bbox\": [1, 222, 122, 232]}, {\"cell\": \"9411 (47.0)\", \"bbox\": [180, 222, 216, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 222, 441, 232]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5406915_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}251{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Initial growth on CAB</b></td><td colspan=\\\"3\\\"><b>Growth on MM agar</b></td></tr><tr><td><b>NMB</b></td><td><b>Function</b></td><td><b>Gene</b></td><td><b>TraSH prediction</b></td><td><b>TraSH ratio</b></td><td><b>Experimental phenotype</b></td><td><b>TraSH prediction</b></td><td><b>Change in TraSH ratio</b></td><td><b>Experimental phenotype</b></td></tr></thead><tbody><tr><td>ΔNMB1646</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Non-ess</td><td>0.74</td><td>Non-ess</td><td>Non-ess</td><td>1.40</td><td>Non-ess</td></tr><tr><td>ΔNMB0696</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Non-ess</td><td>0.495</td><td>Non-ess</td><td>Ess</td><td>-1.62</td><td>Non-ess</td></tr><tr><td>ΔNMB0719</td><td>[EMPTY_CELL]</td><td><i>tgt</i></td><td>Non-ess</td><td>1.25</td><td>Non-ess</td><td>Ess</td><td>-3.00</td><td>Ess</td></tr><tr><td>ΔNMB1338</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Non-ess</td><td>-0.034</td><td>Non-ess</td><td>Ess</td><td>-1.67</td><td>Ess</td></tr><tr><td>ΔNMB1277</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Non-ess</td><td>-0.0625</td><td>Non-ess</td><td>Ess</td><td>-1.62</td><td>Ess</td></tr><tr><td>ΔNMB1295</td><td>[EMPTY_CELL]</td><td><i>mutM</i></td><td>Non-ess</td><td>-0.174</td><td>Non-ess</td><td>Ess</td><td>-1.49</td><td>Ess</td></tr><tr><td>ΔNMB0318</td><td>[EMPTY_CELL]</td><td><i>emrA</i></td><td>Non-ess</td><td>2.28</td><td>Non-ess</td><td>Ess</td><td>-3.29</td><td>Ess</td></tr><tr><td>ΔNMB2061</td><td>[EMPTY_CELL]</td><td><i>ppc</i></td><td>Non-ess</td><td>1.52</td><td>Non-ess</td><td>Ess</td><td>-1.83</td><td>Ess</td></tr><tr><td>ΔNMB0951</td><td>[EMPTY_CELL]</td><td><i>sdhB</i></td><td>Non-ess</td><td>1.10</td><td>Non-ess</td><td>Ess</td><td>-3.13</td><td>Ess</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Initial growth on CAB</b>\", \"bbox\": [196, 4, 274, 13]}, {\"cell\": \"<b>Growth on MM agar</b>\", \"bbox\": [362, 4, 435, 13]}, {\"cell\": \"<b>NMB</b>\", \"bbox\": [1, 17, 19, 27]}, {\"cell\": \"<b>Function</b>\", \"bbox\": [41, 17, 73, 27]}, {\"cell\": \"<b>Gene</b>\", \"bbox\": [138, 17, 158, 27]}, {\"cell\": \"<b>TraSH prediction</b>\", \"bbox\": [166, 17, 203, 36]}, {\"cell\": \"<b>TraSH ratio</b>\", \"bbox\": [214, 17, 236, 36]}, {\"cell\": \"<b>Experimental phenotype</b>\", \"bbox\": [252, 17, 300, 36]}, {\"cell\": \"<b>TraSH prediction</b>\", \"bbox\": [315, 17, 352, 36]}, {\"cell\": \"<b>Change in TraSH ratio</b>\", \"bbox\": [368, 17, 409, 36]}, {\"cell\": \"<b>Experimental phenotype</b>\", \"bbox\": [429, 17, 476, 36]}, {\"cell\": \"ΔNMB1646\", \"bbox\": [1, 39, 37, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 39, 112, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-ess\", \"bbox\": [171, 39, 198, 49]}, {\"cell\": \"0.74\", \"bbox\": [218, 39, 233, 49]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 39, 290, 49]}, {\"cell\": \"Non-ess\", \"bbox\": [320, 39, 347, 49]}, {\"cell\": \"1.40\", \"bbox\": [381, 39, 396, 49]}, {\"cell\": \"Non-ess\", \"bbox\": [439, 39, 466, 49]}, {\"cell\": \"ΔNMB0696\", \"bbox\": [1, 51, 37, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 51, 111, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-ess\", \"bbox\": [171, 51, 198, 61]}, {\"cell\": \"0.495\", \"bbox\": [216, 51, 234, 61]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 51, 290, 61]}, {\"cell\": \"Ess\", \"bbox\": [328, 51, 339, 61]}, {\"cell\": \"-1.62\", \"bbox\": [380, 51, 397, 61]}, {\"cell\": \"Non-ess\", \"bbox\": [439, 51, 466, 61]}, {\"cell\": \"ΔNMB0719\", \"bbox\": [1, 72, 37, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 72, 98, 91]}, {\"cell\": \"<i>tgt</i>\", \"bbox\": [138, 72, 148, 82]}, {\"cell\": \"Non-ess\", \"bbox\": [171, 72, 198, 82]}, {\"cell\": \"1.25\", \"bbox\": [218, 72, 233, 82]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 72, 290, 82]}, {\"cell\": \"Ess\", \"bbox\": [328, 72, 339, 82]}, {\"cell\": \"-3.00\", \"bbox\": [380, 72, 397, 82]}, {\"cell\": \"Ess\", \"bbox\": [447, 72, 458, 82]}, {\"cell\": \"ΔNMB1338\", \"bbox\": [1, 93, 37, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 93, 102, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-ess\", \"bbox\": [171, 93, 198, 103]}, {\"cell\": \"-0.034\", \"bbox\": [215, 93, 236, 103]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 93, 290, 103]}, {\"cell\": \"Ess\", \"bbox\": [328, 93, 339, 103]}, {\"cell\": \"-1.67\", \"bbox\": [380, 93, 397, 103]}, {\"cell\": \"Ess\", \"bbox\": [447, 93, 458, 103]}, {\"cell\": \"ΔNMB1277\", \"bbox\": [1, 105, 37, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 105, 106, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-ess\", \"bbox\": [170, 105, 198, 115]}, {\"cell\": \"-0.0625\", \"bbox\": [213, 105, 238, 115]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 105, 290, 115]}, {\"cell\": \"Ess\", \"bbox\": [328, 105, 339, 115]}, {\"cell\": \"-1.62\", \"bbox\": [380, 105, 397, 115]}, {\"cell\": \"Ess\", \"bbox\": [447, 105, 458, 115]}, {\"cell\": \"ΔNMB1295\", \"bbox\": [1, 117, 37, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 117, 131, 136]}, {\"cell\": \"<i>mutM</i>\", \"bbox\": [138, 117, 158, 126]}, {\"cell\": \"Non-ess\", \"bbox\": [170, 117, 198, 127]}, {\"cell\": \"-0.174\", \"bbox\": [215, 117, 236, 127]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 117, 290, 127]}, {\"cell\": \"Ess\", \"bbox\": [328, 117, 339, 127]}, {\"cell\": \"-1.49\", \"bbox\": [380, 117, 397, 127]}, {\"cell\": \"Ess\", \"bbox\": [447, 117, 458, 127]}, {\"cell\": \"ΔNMB0318\", \"bbox\": [1, 138, 37, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 138, 133, 156]}, {\"cell\": \"<i>emrA</i>\", \"bbox\": [138, 138, 156, 147]}, {\"cell\": \"Non-ess\", \"bbox\": [170, 138, 198, 147]}, {\"cell\": \"2.28\", \"bbox\": [218, 138, 233, 147]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 138, 290, 147]}, {\"cell\": \"Ess\", \"bbox\": [328, 138, 339, 147]}, {\"cell\": \"-3.29\", \"bbox\": [380, 138, 397, 147]}, {\"cell\": \"Ess\", \"bbox\": [447, 138, 458, 147]}, {\"cell\": \"ΔNMB2061\", \"bbox\": [1, 159, 37, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 159, 113, 177]}, {\"cell\": \"<i>ppc</i>\", \"bbox\": [138, 159, 151, 168]}, {\"cell\": \"Non-ess\", \"bbox\": [170, 159, 198, 168]}, {\"cell\": \"1.52\", \"bbox\": [218, 159, 233, 168]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 159, 290, 168]}, {\"cell\": \"Ess\", \"bbox\": [328, 159, 339, 168]}, {\"cell\": \"-1.83\", \"bbox\": [380, 159, 397, 168]}, {\"cell\": \"Ess\", \"bbox\": [447, 159, 458, 168]}, {\"cell\": \"ΔNMB0951\", \"bbox\": [0, 180, 37, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 180, 125, 189]}, {\"cell\": \"<i>sdhB</i>\", \"bbox\": [138, 180, 154, 189]}, {\"cell\": \"Non-ess\", \"bbox\": [170, 180, 198, 189]}, {\"cell\": \"1.10\", \"bbox\": [218, 180, 233, 189]}, {\"cell\": \"Non-ess\", \"bbox\": [262, 180, 290, 189]}, {\"cell\": \"Ess\", \"bbox\": [328, 180, 339, 189]}, {\"cell\": \"-3.13\", \"bbox\": [380, 180, 397, 189]}, {\"cell\": \"Ess\", \"bbox\": [447, 180, 458, 189]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3334622_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}252{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>Primer nucleotide sequences</b></td><td><b>Product size (base pairs)</b></td><td><b>Annealing temperature</b></td></tr></thead><tbody><tr><td>CD34</td><td>Forward: 5’-GCCTGGAGCAAAATAAGACCTC-3’Reverse: 5’-AGGATCCCCAGCTTTTTCAGG-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>CD45</td><td>Forward: 5’-TGTGGAGCCAATCCATGCAGA-3’Reverse: 5’-GTTTGACCCTGCATCTCCGTT-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>CD90</td><td>Forward: 5’-CACACATACCGCTCCCGAA-3’Reverse: 5’-CACCAGTCACAGGGACATGAA-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>CD105</td><td>Forward: 5’-ATACCACTAGCCAGGTCTCGAA-3’Reverse: 5’-ATGGCAGCTCTGTGGTGTTG-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>NF-kB</td><td>Forward: 5′-CAGCAGATGGCCCATACCTT-3′Reverse: 5′-CACCATGTCCTTGGGTCCAG-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>mTOR</td><td>Forward: 5′-GCCCCTACATGGAGCCTATTC-3′Reverse: 5′-CCTGGAGCATGTCCATGATGA-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>Oct4</td><td>Forward: 5’-CTCACCCTGGGGGTTCTATT-3’Reverse: 5’-CTCCAGGTTGCCTCTCACTC-3’</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>SOX2</td><td>Forward: 5′-CATGAAGGAGCACCCGGATT-3′Reverse: 5′-ATGTGCGCGTAACTGTCCAT-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>TNF-α</td><td>Forward: 5′-AGGGACCTCTCTCTAATCAGCC-3′Reverse: 5′-GCTTGAGGGTTTGCTACAACA-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>IL-6</td><td>Forward: 5′-TCCTCGACGGCATCTCA-3′Reverse: 5′-TTTTCACCAGGCAAGTCTCCT-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>COX-2</td><td>Forward: 5′-TGTGTTGACATCCAGATCACAT-3′Reverse: 5′-GGAGTCGGGCAATCATCAGG-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>IL-10</td><td>Forward: 5′-CAAGCTGAGAACCAAGACCC-3′Reverse: 5′-AAGATGTCAAACTCACTCATGGC-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>TGF-β</td><td>Forward: 5′-ACTGCAAGTGGACATCAACG-3′Reverse: 5′-TGCGGAAGTCAATGTACAGC-3′</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr><tr><td>β-actin</td><td>Forward: 5’-GCACTCTTCCAGCCTTCCTTCC-3’Reverse: 5’-GAGCCGCCGATCCACACG-3’</td><td>[EMPTY_CELL]</td><td>55 °C</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [1, 4, 19, 13]}, {\"cell\": \"<b>Primer nucleotide sequences</b>\", \"bbox\": [77, 4, 171, 13]}, {\"cell\": \"<b>Product size (base pairs)</b>\", \"bbox\": [277, 4, 356, 13]}, {\"cell\": \"<b>Annealing temperature</b>\", \"bbox\": [408, 4, 484, 13]}, {\"cell\": \"CD34\", \"bbox\": [1, 17, 20, 26]}, {\"cell\": \"Forward: 5’-GCCTGGAGCAAAATAAGACCTC-3’Reverse: 5’-AGGATCCCCAGCTTTTTCAGG-3′\", \"bbox\": [77, 17, 223, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 17, 301, 26]}, {\"cell\": \"55 °C\", \"bbox\": [408, 17, 427, 26]}, {\"cell\": \"CD45\", \"bbox\": [1, 40, 20, 49]}, {\"cell\": \"Forward: 5’-TGTGGAGCCAATCCATGCAGA-3’Reverse: 5’-GTTTGACCCTGCATCTCCGTT-3′\", \"bbox\": [77, 40, 218, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 40, 301, 49]}, {\"cell\": \"55 °C\", \"bbox\": [408, 40, 427, 49]}, {\"cell\": \"CD90\", \"bbox\": [1, 63, 20, 72]}, {\"cell\": \"Forward: 5’-CACACATACCGCTCCCGAA-3’Reverse: 5’-CACCAGTCACAGGGACATGAA-3′\", \"bbox\": [77, 63, 218, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 63, 301, 72]}, {\"cell\": \"55 °C\", \"bbox\": [408, 63, 427, 72]}, {\"cell\": \"CD105\", \"bbox\": [1, 86, 24, 95]}, {\"cell\": \"Forward: 5’-ATACCACTAGCCAGGTCTCGAA-3’Reverse: 5’-ATGGCAGCTCTGTGGTGTTG-3′\", \"bbox\": [77, 86, 222, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 86, 301, 95]}, {\"cell\": \"55 °C\", \"bbox\": [408, 86, 427, 95]}, {\"cell\": \"NF-kB\", \"bbox\": [1, 109, 21, 118]}, {\"cell\": \"Forward: 5′-CAGCAGATGGCCCATACCTT-3′Reverse: 5′-CACCATGTCCTTGGGTCCAG-3′\", \"bbox\": [77, 109, 213, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 109, 301, 118]}, {\"cell\": \"55 °C\", \"bbox\": [408, 109, 427, 118]}, {\"cell\": \"mTOR\", \"bbox\": [1, 132, 22, 141]}, {\"cell\": \"Forward: 5′-GCCCCTACATGGAGCCTATTC-3′Reverse: 5′-CCTGGAGCATGTCCATGATGA-3′\", \"bbox\": [77, 132, 217, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 132, 301, 141]}, {\"cell\": \"55 °C\", \"bbox\": [408, 132, 427, 141]}, {\"cell\": \"Oct4\", \"bbox\": [1, 155, 18, 164]}, {\"cell\": \"Forward: 5’-CTCACCCTGGGGGTTCTATT-3’Reverse: 5’-CTCCAGGTTGCCTCTCACTC-3’\", \"bbox\": [77, 155, 210, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 155, 301, 164]}, {\"cell\": \"55 °C\", \"bbox\": [408, 155, 427, 164]}, {\"cell\": \"SOX2\", \"bbox\": [1, 178, 20, 187]}, {\"cell\": \"Forward: 5′-CATGAAGGAGCACCCGGATT-3′Reverse: 5′-ATGTGCGCGTAACTGTCCAT-3′\", \"bbox\": [77, 178, 215, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 178, 301, 187]}, {\"cell\": \"55 °C\", \"bbox\": [408, 178, 427, 187]}, {\"cell\": \"TNF-α\", \"bbox\": [0, 201, 21, 210]}, {\"cell\": \"Forward: 5′-AGGGACCTCTCTCTAATCAGCC-3′Reverse: 5′-GCTTGAGGGTTTGCTACAACA-3′\", \"bbox\": [77, 201, 222, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 201, 301, 210]}, {\"cell\": \"55 °C\", \"bbox\": [408, 201, 427, 210]}, {\"cell\": \"IL-6\", \"bbox\": [0, 224, 14, 233]}, {\"cell\": \"Forward: 5′-TCCTCGACGGCATCTCA-3′Reverse: 5′-TTTTCACCAGGCAAGTCTCCT-3′\", \"bbox\": [77, 224, 213, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 224, 301, 233]}, {\"cell\": \"55 °C\", \"bbox\": [408, 224, 427, 233]}, {\"cell\": \"COX-2\", \"bbox\": [0, 247, 23, 256]}, {\"cell\": \"Forward: 5′-TGTGTTGACATCCAGATCACAT-3′Reverse: 5′-GGAGTCGGGCAATCATCAGG-3′\", \"bbox\": [77, 247, 220, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 247, 301, 256]}, {\"cell\": \"55 °C\", \"bbox\": [408, 247, 427, 256]}, {\"cell\": \"IL-10\", \"bbox\": [1, 270, 18, 279]}, {\"cell\": \"Forward: 5′-CAAGCTGAGAACCAAGACCC-3′Reverse: 5′-AAGATGTCAAACTCACTCATGGC-3′\", \"bbox\": [77, 270, 225, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 270, 301, 279]}, {\"cell\": \"55 °C\", \"bbox\": [408, 270, 427, 279]}, {\"cell\": \"TGF-β\", \"bbox\": [1, 293, 21, 302]}, {\"cell\": \"Forward: 5′-ACTGCAAGTGGACATCAACG-3′Reverse: 5′-TGCGGAAGTCAATGTACAGC-3′\", \"bbox\": [77, 293, 215, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 293, 301, 302]}, {\"cell\": \"55 °C\", \"bbox\": [408, 293, 427, 302]}, {\"cell\": \"β-actin\", \"bbox\": [1, 316, 25, 325]}, {\"cell\": \"Forward: 5’-GCACTCTTCCAGCCTTCCTTCC-3’Reverse: 5’-GAGCCGCCGATCCACACG-3’\", \"bbox\": [77, 316, 218, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 316, 301, 325]}, {\"cell\": \"55 °C\", \"bbox\": [408, 316, 427, 325]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5948671_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}253{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>N = 119</b></td><td><b>Number in Group</b></td><td><b>Multiple lesions(N = 95)</b></td><td><b>%</b></td><td><b>OR - UNI</b></td><td><b>CI 95% - UNI</b></td><td><b>OR - MULTI<sup>1</sup></b></td><td><b>CI MULTI</b></td></tr></thead><tbody><tr><td>Age ≤ 32 years</td><td>[EMPTY_CELL]</td><td>47</td><td>75.8%</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age > 32 years</td><td>[EMPTY_CELL]</td><td>48</td><td>84.2%</td><td>1.702</td><td>0.679-4.267</td><td>1.699</td><td>0.620-4.653</td></tr><tr><td>Scars at diagnosisNO</td><td>[EMPTY_CELL]</td><td>79</td><td>78.2%</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Scars at diagnosisYES</td><td>[EMPTY_CELL]</td><td>16</td><td>88.9%</td><td>2.228</td><td>0.476-10.434</td><td>1.81</td><td>0.349-9.383</td></tr><tr><td>CRP < 12 mg/dL</td><td>[EMPTY_CELL]</td><td>45</td><td>77.6%</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>CRP > = 12 mg/dL</td><td>[EMPTY_CELL]</td><td>47</td><td>81.0%</td><td>1.234</td><td>0.501-3.039</td><td>1.151</td><td>0.425-3.117</td></tr><tr><td>Negative urinary cultures or hemocultures</td><td>[EMPTY_CELL]</td><td>60</td><td>74.1%</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Positive urinary cultures and/or hemocultures</b></td><td>[EMPTY_CELL]</td><td><b>35</b></td><td><b>92.1%</b></td><td><b>4.083</b></td><td><b>1.136-14.679</b></td><td><b>4.204</b></td><td><b>1.139-15.515</b></td></tr><tr><td>Presence of the 3 main symptoms</td><td>[EMPTY_CELL]</td><td>65</td><td>84.4%</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Absence of at least one of the 3 main symptoms</td><td>[EMPTY_CELL]</td><td>30</td><td>71.4%</td><td>0.462</td><td>0.186-1.146</td><td>0.437</td><td>0.168-1.13</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>N = 119</b>\", \"bbox\": [61, 4, 91, 13]}, {\"cell\": \"<b>Number in Group</b>\", \"bbox\": [165, 4, 204, 22]}, {\"cell\": \"<b>Multiple lesions(N = 95)</b>\", \"bbox\": [230, 4, 260, 31]}, {\"cell\": \"<b>%</b>\", \"bbox\": [282, 4, 291, 13]}, {\"cell\": \"<b>OR - UNI</b>\", \"bbox\": [302, 4, 335, 13]}, {\"cell\": \"<b>CI 95% - UNI</b>\", \"bbox\": [339, 4, 385, 13]}, {\"cell\": \"<b>OR - MULTI<sup>1</sup></b>\", \"bbox\": [389, 2, 434, 13]}, {\"cell\": \"<b>CI MULTI</b>\", \"bbox\": [445, 4, 478, 13]}, {\"cell\": \"Age ≤ 32 years\", \"bbox\": [50, 35, 101, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 35, 190, 45]}, {\"cell\": \"47\", \"bbox\": [240, 35, 250, 45]}, {\"cell\": \"75.8%\", \"bbox\": [276, 35, 297, 45]}, {\"cell\": \"1\", \"bbox\": [316, 35, 321, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age > 32 years\", \"bbox\": [50, 48, 101, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 48, 190, 58]}, {\"cell\": \"48\", \"bbox\": [240, 48, 250, 58]}, {\"cell\": \"84.2%\", \"bbox\": [276, 48, 297, 58]}, {\"cell\": \"1.702\", \"bbox\": [309, 48, 328, 58]}, {\"cell\": \"0.679-4.267\", \"bbox\": [343, 48, 381, 58]}, {\"cell\": \"1.699\", \"bbox\": [403, 48, 421, 58]}, {\"cell\": \"0.620-4.653\", \"bbox\": [443, 48, 480, 58]}, {\"cell\": \"Scars at diagnosisNO\", \"bbox\": [46, 61, 105, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 61, 191, 71]}, {\"cell\": \"79\", \"bbox\": [240, 61, 250, 71]}, {\"cell\": \"78.2%\", \"bbox\": [276, 61, 297, 71]}, {\"cell\": \"1\", \"bbox\": [316, 61, 321, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Scars at diagnosisYES\", \"bbox\": [46, 84, 105, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 84, 190, 93]}, {\"cell\": \"16\", \"bbox\": [240, 84, 250, 93]}, {\"cell\": \"88.9%\", \"bbox\": [276, 84, 297, 93]}, {\"cell\": \"2.228\", \"bbox\": [309, 84, 328, 93]}, {\"cell\": \"0.476-10.434\", \"bbox\": [341, 84, 383, 93]}, {\"cell\": \"1.81\", \"bbox\": [404, 84, 419, 93]}, {\"cell\": \"0.349-9.383\", \"bbox\": [443, 84, 480, 93]}, {\"cell\": \"CRP < 12 mg/dL\", \"bbox\": [48, 106, 104, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 106, 190, 115]}, {\"cell\": \"45\", \"bbox\": [240, 106, 250, 115]}, {\"cell\": \"77.6%\", \"bbox\": [276, 106, 297, 115]}, {\"cell\": \"1\", \"bbox\": [316, 106, 321, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CRP > = 12 mg/dL\", \"bbox\": [44, 119, 108, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 119, 190, 129]}, {\"cell\": \"47\", \"bbox\": [240, 119, 250, 129]}, {\"cell\": \"81.0%\", \"bbox\": [276, 119, 297, 129]}, {\"cell\": \"1.234\", \"bbox\": [309, 119, 328, 129]}, {\"cell\": \"0.501-3.039\", \"bbox\": [343, 119, 381, 129]}, {\"cell\": \"1.151\", \"bbox\": [403, 119, 421, 129]}, {\"cell\": \"0.425-3.117\", \"bbox\": [443, 119, 480, 129]}, {\"cell\": \"Negative urinary cultures or hemocultures\", \"bbox\": [7, 132, 145, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 132, 190, 142]}, {\"cell\": \"60\", \"bbox\": [240, 132, 250, 142]}, {\"cell\": \"74.1%\", \"bbox\": [276, 132, 297, 142]}, {\"cell\": \"1\", \"bbox\": [316, 132, 321, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Positive urinary cultures and/or hemocultures</b>\", \"bbox\": [20, 146, 132, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 146, 190, 155]}, {\"cell\": \"<b>35</b>\", \"bbox\": [240, 146, 250, 155]}, {\"cell\": \"<b>92.1%</b>\", \"bbox\": [275, 146, 298, 155]}, {\"cell\": \"<b>4.083</b>\", \"bbox\": [308, 146, 329, 155]}, {\"cell\": \"<b>1.136-14.679</b>\", \"bbox\": [339, 146, 385, 155]}, {\"cell\": \"<b>4.204</b>\", \"bbox\": [401, 146, 422, 155]}, {\"cell\": \"<b>1.139-15.515</b>\", \"bbox\": [438, 146, 484, 155]}, {\"cell\": \"Presence of the 3 main symptoms\", \"bbox\": [19, 168, 132, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 168, 190, 177]}, {\"cell\": \"65\", \"bbox\": [240, 168, 250, 177]}, {\"cell\": \"84.4%\", \"bbox\": [276, 168, 297, 177]}, {\"cell\": \"1\", \"bbox\": [316, 168, 321, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Absence of at least one of the 3 main symptoms\", \"bbox\": [13, 181, 139, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 181, 190, 190]}, {\"cell\": \"30\", \"bbox\": [240, 181, 250, 190]}, {\"cell\": \"71.4%\", \"bbox\": [275, 181, 296, 190]}, {\"cell\": \"0.462\", \"bbox\": [309, 181, 328, 190]}, {\"cell\": \"0.186-1.146\", \"bbox\": [343, 181, 381, 190]}, {\"cell\": \"0.437\", \"bbox\": [403, 181, 421, 190]}, {\"cell\": \"0.168-1.13\", \"bbox\": [445, 181, 478, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3268718_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}254{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>Species, Phenotype</b></td><td><b>Independent evidence for gene function</b></td><td><b>RIF ranking</b></td><td><b>Differentially expressed</b></td></tr></thead><tbody><tr><td>MSTN</td><td>Cattle muscle, Piedmontese hyper-muscularity versus normal</td><td>Mapping, deep sequencing [60]</td><td>[EMPTY_CELL]</td><td>No</td></tr><tr><td>Alpha-Synuclein</td><td>Human brain, Parkinson’s disease versus healthy</td><td>Range of evidence including GWAS reviewed in [61]</td><td>[EMPTY_CELL]</td><td>Unknown. Patent was established to identify causal variants by transcriptome wiring, even when not DE</td></tr><tr><td>CDK8</td><td>Human colon, colorectal cancer versus healthy</td><td>Colorectal cancer oncogene regulates B-catenin [54]</td><td>[EMPTY_CELL]</td><td>No</td></tr><tr><td>P107</td><td>Human, brown fat tissue versus white fat tissue</td><td>P107 knockout mouse exhibits a uniform white to brown fat transition [62]</td><td>[EMPTY_CELL]</td><td>No</td></tr><tr><td>DLK1</td><td>Sheep muscle, Callipyge hyper- muscularity versus normal</td><td>Not proven, but DLK1 is the most DE highly abundant gene, and its expression is maintained post-natally in effected muscles only.</td><td>[EMPTY_CELL]</td><td>Yes, 2.14-fold up- regulation in callipyge individuals across all time points explored.</td></tr><tr><td>INSM1</td><td>Pig, 6 CNS tissues versus 21 other tissues</td><td>Neuroendocrine differentiation [63]</td><td>[EMPTY_CELL]</td><td>Yes, 3.8-Fold up- regulation in CNS</td></tr><tr><td>OXTR</td><td>Cattle muscle, steroid hormone induced muscling</td><td>No direct evidence, but OXT precursor is the most DE gene in this experiment, and is known to drive cardiac development.</td><td>[EMPTY_CELL]</td><td>No</td></tr><tr><td>CARM1</td><td>Human breast, breast cancer high survival versus low survival</td><td>Regulates estrogen stimulated breast cancer via E2F1 [64]</td><td>[EMPTY_CELL]</td><td>No</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [1, 4, 20, 13]}, {\"cell\": \"<b>Species, Phenotype</b>\", \"bbox\": [59, 4, 128, 13]}, {\"cell\": \"<b>Independent evidence for gene function</b>\", \"bbox\": [145, 4, 287, 13]}, {\"cell\": \"<b>RIF ranking</b>\", \"bbox\": [293, 4, 334, 13]}, {\"cell\": \"<b>Differentially expressed</b>\", \"bbox\": [356, 4, 442, 13]}, {\"cell\": \"MSTN\", \"bbox\": [1, 17, 21, 26]}, {\"cell\": \"Cattle muscle, Piedmontese hyper-muscularity versus normal\", \"bbox\": [59, 17, 140, 53]}, {\"cell\": \"Mapping, deep sequencing [60]\", \"bbox\": [145, 17, 249, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 15, 348, 26]}, {\"cell\": \"No\", \"bbox\": [356, 17, 368, 26]}, {\"cell\": \"Alpha-Synuclein\", \"bbox\": [1, 58, 53, 67]}, {\"cell\": \"Human brain, Parkinson’s disease versus healthy\", \"bbox\": [59, 58, 121, 85]}, {\"cell\": \"Range of evidence including GWAS reviewed in [61]\", \"bbox\": [145, 58, 261, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 58, 345, 94]}, {\"cell\": \"Unknown. Patent was established to identify causal variants by transcriptome wiring, even when not DE\", \"bbox\": [356, 58, 484, 94]}, {\"cell\": \"CDK8\", \"bbox\": [0, 99, 20, 108]}, {\"cell\": \"Human colon, colorectal cancer versus healthy\", \"bbox\": [59, 99, 115, 126]}, {\"cell\": \"Colorectal cancer oncogene regulates B-catenin [54]\", \"bbox\": [145, 99, 237, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 97, 344, 117]}, {\"cell\": \"No\", \"bbox\": [356, 99, 368, 108]}, {\"cell\": \"P107\", \"bbox\": [0, 131, 18, 140]}, {\"cell\": \"Human, brown fat tissue versus white fat tissue\", \"bbox\": [59, 131, 131, 158]}, {\"cell\": \"P107 knockout mouse exhibits a uniform white to brown fat transition [62]\", \"bbox\": [145, 131, 267, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 129, 349, 140]}, {\"cell\": \"No\", \"bbox\": [356, 131, 368, 140]}, {\"cell\": \"DLK1\", \"bbox\": [0, 162, 19, 172]}, {\"cell\": \"Sheep muscle, Callipyge hyper- muscularity versus normal\", \"bbox\": [59, 162, 119, 199]}, {\"cell\": \"Not proven, but DLK1 is the most DE highly abundant gene, and its expression is maintained post-natally in effected muscles only.\", \"bbox\": [145, 162, 265, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 161, 349, 190]}, {\"cell\": \"Yes, 2.14-fold up- regulation in callipyge individuals across all time points explored.\", \"bbox\": [356, 162, 429, 199]}, {\"cell\": \"INSM1\", \"bbox\": [1, 203, 23, 213]}, {\"cell\": \"Pig, 6 CNS tissues versus 21 other tissues\", \"bbox\": [59, 203, 133, 222]}, {\"cell\": \"Neuroendocrine differentiation [63]\", \"bbox\": [145, 203, 260, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 202, 350, 222]}, {\"cell\": \"Yes, 3.8-Fold up- regulation in CNS\", \"bbox\": [356, 203, 414, 222]}, {\"cell\": \"OXTR\", \"bbox\": [1, 226, 20, 236]}, {\"cell\": \"Cattle muscle, steroid hormone induced muscling\", \"bbox\": [59, 226, 118, 254]}, {\"cell\": \"No direct evidence, but OXT precursor is the most DE gene in this experiment, and is known to drive cardiac development.\", \"bbox\": [145, 226, 253, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 225, 346, 245]}, {\"cell\": \"No\", \"bbox\": [356, 226, 368, 236]}, {\"cell\": \"CARM1\", \"bbox\": [1, 267, 26, 277]}, {\"cell\": \"Human breast, breast cancer high survival versus low survival\", \"bbox\": [59, 267, 120, 303]}, {\"cell\": \"Regulates estrogen stimulated breast cancer via E2F1 [64]\", \"bbox\": [145, 267, 244, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 265, 351, 277]}, {\"cell\": \"No\", \"bbox\": [356, 267, 368, 277]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3444927_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}255{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Setting</b></td><td><b>Context</b></td><td><b>Mechanism</b></td><td><b>Outcome</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Systemic organisational change in general practice (implementation of the Health & Social Care Act 2012)</td><td>GPs avoid additional tasks that increase work burden or are perceived outwith remit</td><td>No engagement with the project despite potential for general practice as a discipline and patient gain</td></tr><tr><td>[EMPTY_CELL]</td><td>Top-down decision to involve care homes, during period of care home chain re-organisation</td><td>Care home managers avoid additional imposed tasks</td><td>No lasting engagement</td></tr><tr><td>[EMPTY_CELL]</td><td>Top-down decision to involve hospital ward, and period of major staff turnover</td><td>Ward staff minimise involvement, momentum lost when key staff leave</td><td>Selection of indicators for change in order to minimise workload and maximise gain</td></tr><tr><td>[EMPTY_CELL]</td><td>Competing demands in hospices & community teams, with funding challenges, periods of staff absence; but strong audit & research culture</td><td>Value of indicators appreciated, as supplement to existing audit & research culture</td><td>Changes made, effects seen, though extended implementation timescale required</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Setting</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>Context</b>\", \"bbox\": [113, 4, 140, 13]}, {\"cell\": \"<b>Mechanism</b>\", \"bbox\": [264, 4, 302, 13]}, {\"cell\": \"<b>Outcome</b>\", \"bbox\": [373, 4, 405, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 54, 27]}, {\"cell\": \"Systemic organisational change in general practice (implementation of the Health & Social Care Act 2012)\", \"bbox\": [113, 17, 251, 45]}, {\"cell\": \"GPs avoid additional tasks that increase work burden or are perceived outwith remit\", \"bbox\": [264, 17, 364, 45]}, {\"cell\": \"No engagement with the project despite potential for general practice as a discipline and patient gain\", \"bbox\": [373, 17, 460, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 41, 68]}, {\"cell\": \"Top-down decision to involve care homes, during period of care home chain re-organisation\", \"bbox\": [113, 58, 252, 86]}, {\"cell\": \"Care home managers avoid additional imposed tasks\", \"bbox\": [264, 58, 355, 77]}, {\"cell\": \"No lasting engagement\", \"bbox\": [373, 58, 451, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 90, 50, 100]}, {\"cell\": \"Top-down decision to involve hospital ward, and period of major staff turnover\", \"bbox\": [113, 90, 258, 109]}, {\"cell\": \"Ward staff minimise involvement, momentum lost when key staff leave\", \"bbox\": [264, 90, 361, 118]}, {\"cell\": \"Selection of indicators for change in order to minimise workload and maximise gain\", \"bbox\": [373, 90, 467, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 108, 141]}, {\"cell\": \"Competing demands in hospices & community teams, with funding challenges, periods of staff absence; but strong audit & research culture\", \"bbox\": [113, 122, 256, 159]}, {\"cell\": \"Value of indicators appreciated, as supplement to existing audit & research culture\", \"bbox\": [264, 122, 367, 150]}, {\"cell\": \"Changes made, effects seen, though extended implementation timescale required\", \"bbox\": [373, 122, 484, 150]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4970274_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}256{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"5\\\"><b>Latanoprost concentration (μg/mL)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>50</b></td><td><b>75</b></td><td><b>100</b></td><td>[EMPTY_CELL]</td></tr><tr><td>N</td><td>71</td><td>70</td><td>72</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\"><b>Eye disorders</b></td></tr><tr><td> Abnormal sensation in eye</td><td>3 (4.2)</td><td>4 (5.7)</td><td>7 (9.7)</td><td>[EMPTY_CELL]</td></tr><tr><td> Anterior chamber disorder NOS</td><td>0 (0.0)</td><td>2 (2.9)</td><td>2 (2.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> Conjunctival disorder NOS</td><td>2 (2.8)</td><td>1 (1.4)</td><td>0 (0.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Conjunctival edema</td><td>0 (0.0)</td><td>2 (2.9)</td><td>2 (2.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> Conjunctival hyperemia</td><td>12 (16.9)</td><td>13 (18.6)</td><td>15 (20.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> Dry eye NEC</td><td>1 (1.4)</td><td>2 (2.9)</td><td>4 (5.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Eye irritation</td><td>5 (7.0)</td><td>7 (10.0)</td><td>6 (8.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Eye pain</td><td>2 (2.8)</td><td>6 (8.6)</td><td>3 (4.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> Eyelid disorder NOS</td><td>0 (0.0)</td><td>2 (2.9)</td><td>0 (0.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Keratitis NEC</td><td>2 (2.8)</td><td>4 (5.7)</td><td>3 (4.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> Ocular hyperemia*</td><td>5 (7.0)</td><td>4 (5.7)</td><td>5 (6.9)</td><td>[EMPTY_CELL]</td></tr><tr><td> Red eye</td><td>3 (4.2)</td><td>5 (7.1)</td><td>6 (8.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Vision blurred</td><td>1 (1.4)</td><td>0 (0.0)</td><td>2 (2.8)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\"><b>Musculoskeletal, connective tissue and bone disorders</b></td></tr><tr><td> Arthralgia</td><td>1 (1.4)</td><td>0 (0.0)</td><td>2 (2.8)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\"><b>Nervous system disorders</b></td></tr><tr><td> Headache NOS</td><td>4 (5.6)</td><td>4 (5.7)</td><td>3 (4.2)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Latanoprost concentration (μg/mL)</b>\", \"bbox\": [113, 4, 236, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>50</b>\", \"bbox\": [120, 18, 131, 27]}, {\"cell\": \"<b>75</b>\", \"bbox\": [152, 18, 163, 27]}, {\"cell\": \"<b>100</b>\", \"bbox\": [182, 18, 197, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 18, 229, 27]}, {\"cell\": \"N\", \"bbox\": [1, 32, 8, 41]}, {\"cell\": \"71\", \"bbox\": [120, 32, 130, 41]}, {\"cell\": \"70\", \"bbox\": [153, 32, 162, 41]}, {\"cell\": \"72\", \"bbox\": [185, 32, 195, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 32, 227, 41]}, {\"cell\": \"<b>Eye disorders</b>\", \"bbox\": [1, 46, 49, 55]}, {\"cell\": \" Abnormal sensation in eye\", \"bbox\": [4, 60, 92, 69]}, {\"cell\": \"3 (4.2)\", \"bbox\": [115, 60, 136, 69]}, {\"cell\": \"4 (5.7)\", \"bbox\": [147, 60, 168, 69]}, {\"cell\": \"7 (9.7)\", \"bbox\": [179, 60, 200, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 60, 233, 69]}, {\"cell\": \" Anterior chamber disorder NOS\", \"bbox\": [4, 74, 108, 83]}, {\"cell\": \"0 (0.0)\", \"bbox\": [115, 74, 136, 83]}, {\"cell\": \"2 (2.9)\", \"bbox\": [147, 74, 168, 83]}, {\"cell\": \"2 (2.8)\", \"bbox\": [179, 74, 200, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 74, 233, 83]}, {\"cell\": \" Conjunctival disorder NOS\", \"bbox\": [4, 88, 91, 97]}, {\"cell\": \"2 (2.8)\", \"bbox\": [115, 88, 136, 97]}, {\"cell\": \"1 (1.4)\", \"bbox\": [147, 88, 168, 97]}, {\"cell\": \"0 (0.0)\", \"bbox\": [179, 88, 200, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 88, 233, 97]}, {\"cell\": \" Conjunctival edema\", \"bbox\": [4, 102, 70, 111]}, {\"cell\": \"0 (0.0)\", \"bbox\": [115, 102, 136, 111]}, {\"cell\": \"2 (2.9)\", \"bbox\": [147, 102, 168, 111]}, {\"cell\": \"2 (2.8)\", \"bbox\": [179, 102, 200, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 102, 233, 111]}, {\"cell\": \" Conjunctival hyperemia\", \"bbox\": [4, 116, 82, 125]}, {\"cell\": \"12 (16.9)\", \"bbox\": [111, 116, 140, 125]}, {\"cell\": \"13 (18.6)\", \"bbox\": [143, 116, 172, 125]}, {\"cell\": \"15 (20.8)\", \"bbox\": [175, 116, 204, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 116, 236, 125]}, {\"cell\": \" Dry eye NEC\", \"bbox\": [4, 130, 47, 139]}, {\"cell\": \"1 (1.4)\", \"bbox\": [115, 130, 136, 139]}, {\"cell\": \"2 (2.9)\", \"bbox\": [147, 130, 168, 139]}, {\"cell\": \"4 (5.6)\", \"bbox\": [179, 130, 200, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 130, 230, 139]}, {\"cell\": \" Eye irritation\", \"bbox\": [4, 144, 46, 153]}, {\"cell\": \"5 (7.0)\", \"bbox\": [115, 144, 136, 153]}, {\"cell\": \"7 (10.0)\", \"bbox\": [145, 144, 170, 153]}, {\"cell\": \"6 (8.3)\", \"bbox\": [179, 144, 200, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 144, 234, 153]}, {\"cell\": \" Eye pain\", \"bbox\": [4, 158, 34, 167]}, {\"cell\": \"2 (2.8)\", \"bbox\": [115, 158, 136, 167]}, {\"cell\": \"6 (8.6)\", \"bbox\": [147, 158, 168, 167]}, {\"cell\": \"3 (4.2)\", \"bbox\": [179, 158, 200, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 158, 233, 167]}, {\"cell\": \" Eyelid disorder NOS\", \"bbox\": [4, 172, 70, 181]}, {\"cell\": \"0 (0.0)\", \"bbox\": [115, 172, 136, 181]}, {\"cell\": \"2 (2.9)\", \"bbox\": [147, 172, 168, 181]}, {\"cell\": \"0 (0.0)\", \"bbox\": [179, 172, 200, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 172, 233, 181]}, {\"cell\": \" Keratitis NEC\", \"bbox\": [4, 186, 47, 195]}, {\"cell\": \"2 (2.8)\", \"bbox\": [115, 186, 136, 195]}, {\"cell\": \"4 (5.7)\", \"bbox\": [147, 186, 168, 195]}, {\"cell\": \"3 (4.2)\", \"bbox\": [179, 186, 200, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 186, 233, 195]}, {\"cell\": \" Ocular hyperemia*\", \"bbox\": [4, 200, 66, 209]}, {\"cell\": \"5 (7.0)\", \"bbox\": [115, 200, 136, 209]}, {\"cell\": \"4 (5.7)\", \"bbox\": [147, 200, 168, 209]}, {\"cell\": \"5 (6.9)\", \"bbox\": [179, 200, 200, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 200, 233, 209]}, {\"cell\": \" Red eye\", \"bbox\": [4, 214, 32, 223]}, {\"cell\": \"3 (4.2)\", \"bbox\": [115, 214, 136, 223]}, {\"cell\": \"5 (7.1)\", \"bbox\": [147, 214, 168, 223]}, {\"cell\": \"6 (8.3)\", \"bbox\": [179, 214, 200, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 214, 233, 223]}, {\"cell\": \" Vision blurred\", \"bbox\": [4, 228, 51, 237]}, {\"cell\": \"1 (1.4)\", \"bbox\": [115, 228, 136, 237]}, {\"cell\": \"0 (0.0)\", \"bbox\": [147, 228, 168, 237]}, {\"cell\": \"2 (2.8)\", \"bbox\": [179, 228, 200, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 228, 233, 237]}, {\"cell\": \"<b>Musculoskeletal, connective tissue and bone disorders</b>\", \"bbox\": [1, 242, 192, 251]}, {\"cell\": \" Arthralgia\", \"bbox\": [4, 256, 37, 265]}, {\"cell\": \"1 (1.4)\", \"bbox\": [115, 256, 136, 265]}, {\"cell\": \"0 (0.0)\", \"bbox\": [147, 256, 168, 265]}, {\"cell\": \"2 (2.8)\", \"bbox\": [179, 256, 200, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 256, 233, 265]}, {\"cell\": \"<b>Nervous system disorders</b>\", \"bbox\": [1, 270, 92, 279]}, {\"cell\": \" Headache NOS\", \"bbox\": [4, 284, 55, 293]}, {\"cell\": \"4 (5.6)\", \"bbox\": [115, 284, 136, 293]}, {\"cell\": \"4 (5.7)\", \"bbox\": [147, 284, 168, 293]}, {\"cell\": \"3 (4.2)\", \"bbox\": [179, 284, 200, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 284, 233, 293]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3475103_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}257{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Ulcerative colitis (<i>n</i> = 10)</b></td><td><b>Crohn's disease (<i>n</i> = 10)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>2:3</td><td>2:3</td></tr><tr><td>[EMPTY_CELL]</td><td>50.6 ± 18.28</td><td>41.7 ± 13.1</td></tr><tr><td>[EMPTY_CELL]</td><td>7.3 ± 5.1</td><td>11.9 ± 10.7</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10 (100)</td><td>2 (20)</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>1 (10)</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>6 (60)</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>1 (10)</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>8 (80)</td><td>5 (50)</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>5 (50)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (40)</td><td>0</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>2 (20)</td></tr><tr><td>[EMPTY_CELL]</td><td>6 (60)</td><td>5 (50)</td></tr><tr><td>[EMPTY_CELL]</td><td>7 (70)</td><td>6 (60)</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>1 (10)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (30)</td><td>4 (40)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Ulcerative colitis (<i>n</i> = 10)</b>\", \"bbox\": [112, 2, 147, 32]}, {\"cell\": \"<b>Crohn's disease (<i>n</i> = 10)</b>\", \"bbox\": [183, 2, 213, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 35, 42, 45]}, {\"cell\": \"2:3\", \"bbox\": [113, 35, 125, 45]}, {\"cell\": \"2:3\", \"bbox\": [184, 35, 196, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 53, 87, 62]}, {\"cell\": \"50.6 ± 18.28\", \"bbox\": [113, 53, 159, 62]}, {\"cell\": \"41.7 ± 13.1\", \"bbox\": [184, 53, 226, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 69, 73, 89]}, {\"cell\": \"7.3 ± 5.1\", \"bbox\": [113, 69, 147, 79]}, {\"cell\": \"11.9 ± 10.7\", \"bbox\": [184, 69, 226, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 97, 73, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 113, 66, 123]}, {\"cell\": \"10 (100)\", \"bbox\": [113, 113, 143, 123]}, {\"cell\": \"2 (20)\", \"bbox\": [184, 113, 206, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 131, 47, 141]}, {\"cell\": \"0\", \"bbox\": [113, 131, 119, 141]}, {\"cell\": \"1 (10)\", \"bbox\": [184, 131, 206, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 147, 39, 157]}, {\"cell\": \"0\", \"bbox\": [113, 147, 119, 157]}, {\"cell\": \"6 (60)\", \"bbox\": [184, 147, 206, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 165, 36, 175]}, {\"cell\": \"0\", \"bbox\": [113, 165, 119, 175]}, {\"cell\": \"1 (10)\", \"bbox\": [184, 165, 206, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 181, 59, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 199, 30, 209]}, {\"cell\": \"0\", \"bbox\": [113, 199, 119, 209]}, {\"cell\": \"0\", \"bbox\": [184, 199, 190, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 216, 30, 225]}, {\"cell\": \"8 (80)\", \"bbox\": [113, 216, 135, 225]}, {\"cell\": \"5 (50)\", \"bbox\": [184, 216, 206, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 233, 64, 243]}, {\"cell\": \"0\", \"bbox\": [113, 233, 119, 243]}, {\"cell\": \"5 (50)\", \"bbox\": [184, 233, 206, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 250, 55, 259]}, {\"cell\": \"2 (40)\", \"bbox\": [113, 250, 135, 259]}, {\"cell\": \"0\", \"bbox\": [184, 250, 190, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 268, 39, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 284, 53, 294]}, {\"cell\": \"0\", \"bbox\": [113, 284, 119, 294]}, {\"cell\": \"2 (20)\", \"bbox\": [184, 284, 206, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 302, 43, 311]}, {\"cell\": \"6 (60)\", \"bbox\": [113, 302, 135, 311]}, {\"cell\": \"5 (50)\", \"bbox\": [184, 302, 206, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 318, 51, 328]}, {\"cell\": \"7 (70)\", \"bbox\": [113, 318, 135, 328]}, {\"cell\": \"6 (60)\", \"bbox\": [184, 318, 206, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 336, 84, 346]}, {\"cell\": \"0\", \"bbox\": [113, 336, 119, 346]}, {\"cell\": \"1 (10)\", \"bbox\": [184, 336, 206, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 352, 51, 362]}, {\"cell\": \"3 (30)\", \"bbox\": [113, 352, 135, 362]}, {\"cell\": \"4 (40)\", \"bbox\": [184, 352, 206, 362]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5020622_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}258{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\"><b>Nearest gene</b></td><td rowspan=\\\"2\\\"><b>Effect allele</b></td><td colspan=\\\"4\\\"><b>Obese vs nonobese</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>OR</b></td><td colspan=\\\"2\\\"><b>95% CI</b></td><td><b>Nominal <i>P</i> value<sup>a</sup></b></td></tr></thead><tbody><tr><td>rs2721</td><td><i>INSIG1 </i></td><td>T</td><td>0.94</td><td>0.81 </td><td>[EMPTY_CELL]</td><td>0.394 </td></tr><tr><td>rs13223383</td><td><i>INSIG1 </i></td><td>T</td><td>0.90</td><td>0.78 </td><td>[EMPTY_CELL]</td><td>0.164 </td></tr><tr><td>rs7566605</td><td>INSIG2</td><td>C</td><td>1.04</td><td>0.91 </td><td>[EMPTY_CELL]</td><td>0.547 </td></tr><tr><td>rs10185316</td><td><i>INSIG2 </i></td><td>G</td><td>1.04</td><td>0.87 </td><td>[EMPTY_CELL]</td><td>0.665 </td></tr><tr><td>rs13428113</td><td>INSIG2</td><td>C</td><td>0.98</td><td>0.86 </td><td>[EMPTY_CELL]</td><td>0.714 </td></tr><tr><td>rs17047757</td><td><i>INSIG2 </i></td><td>G</td><td>1.04</td><td>0.89 </td><td>[EMPTY_CELL]</td><td>0.622 </td></tr><tr><td>rs9308762</td><td><i>INSIG2 </i></td><td>T</td><td>1.03</td><td>0.90 </td><td>[EMPTY_CELL]</td><td>0.710 </td></tr><tr><td>rs12487736</td><td><i>SCAP </i></td><td>G</td><td>1.15</td><td>1.01 </td><td>[EMPTY_CELL]</td><td>0.039 </td></tr><tr><td>rs12490383</td><td><i>SCAP </i></td><td>C</td><td>1.17</td><td>1.02 </td><td>[EMPTY_CELL]</td><td>0.026 </td></tr><tr><td>rs2297508</td><td><i>SREBP1 </i></td><td>C</td><td>1.02</td><td>0.85 </td><td>[EMPTY_CELL]</td><td>0.813 </td></tr><tr><td>rs60282872</td><td><i>SREBP1 </i></td><td>DEL</td><td>0.88</td><td>0.67 </td><td>[EMPTY_CELL]</td><td>0.367 </td></tr><tr><td>rs7287010</td><td><i>SREBP2 </i></td><td>T</td><td>1.03</td><td>0.89 </td><td>[EMPTY_CELL]</td><td>0.706 </td></tr><tr><td>rs1883205</td><td><i>SREBP2 </i></td><td>T</td><td>0.92</td><td>0.80 </td><td>[EMPTY_CELL]</td><td>0.222 </td></tr><tr><td>rs133290</td><td><i>SREBP2 </i></td><td>C</td><td>0.98</td><td>0.85 </td><td>[EMPTY_CELL]</td><td>0.825 </td></tr><tr><td>rs2228314</td><td><i>SREBP2 </i></td><td>C</td><td>1.17</td><td>1.00 </td><td>[EMPTY_CELL]</td><td>0.051 </td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Nearest gene</b>\", \"bbox\": [83, 9, 131, 20]}, {\"cell\": \"<b>Effect allele</b>\", \"bbox\": [172, 9, 215, 20]}, {\"cell\": \"<b>Obese vs nonobese</b>\", \"bbox\": [343, 4, 413, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>OR</b>\", \"bbox\": [259, 16, 273, 27]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [340, 16, 368, 27]}, {\"cell\": \"<b>Nominal <i>P</i> value<sup>a</sup></b>\", \"bbox\": [433, 13, 498, 29]}, {\"cell\": \"rs2721\", \"bbox\": [2, 29, 27, 40]}, {\"cell\": \"<i>INSIG1 </i>\", \"bbox\": [93, 29, 120, 38]}, {\"cell\": \"T\", \"bbox\": [190, 29, 198, 40]}, {\"cell\": \"0.94\", \"bbox\": [257, 29, 274, 40]}, {\"cell\": \"0.81 \", \"bbox\": [317, 29, 333, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [375, 29, 391, 40]}, {\"cell\": \"0.394 \", \"bbox\": [455, 29, 477, 40]}, {\"cell\": \"rs13223383\", \"bbox\": [2, 42, 43, 52]}, {\"cell\": \"<i>INSIG1 </i>\", \"bbox\": [93, 42, 120, 50]}, {\"cell\": \"T\", \"bbox\": [190, 42, 198, 52]}, {\"cell\": \"0.90\", \"bbox\": [257, 42, 274, 52]}, {\"cell\": \"0.78 \", \"bbox\": [317, 42, 333, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [375, 42, 391, 52]}, {\"cell\": \"0.164 \", \"bbox\": [456, 42, 476, 52]}, {\"cell\": \"rs7566605\", \"bbox\": [2, 54, 41, 65]}, {\"cell\": \"INSIG2\", \"bbox\": [92, 54, 121, 65]}, {\"cell\": \"C\", \"bbox\": [190, 54, 198, 65]}, {\"cell\": \"1.04\", \"bbox\": [258, 54, 274, 65]}, {\"cell\": \"0.91 \", \"bbox\": [317, 54, 333, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 54, 391, 65]}, {\"cell\": \"0.547 \", \"bbox\": [455, 54, 477, 65]}, {\"cell\": \"rs10185316\", \"bbox\": [2, 67, 41, 77]}, {\"cell\": \"<i>INSIG2 </i>\", \"bbox\": [92, 67, 121, 75]}, {\"cell\": \"G\", \"bbox\": [190, 67, 198, 77]}, {\"cell\": \"1.04\", \"bbox\": [258, 67, 274, 77]}, {\"cell\": \"0.87 \", \"bbox\": [317, 67, 333, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 67, 391, 77]}, {\"cell\": \"0.665 \", \"bbox\": [455, 67, 477, 77]}, {\"cell\": \"rs13428113\", \"bbox\": [2, 79, 41, 90]}, {\"cell\": \"INSIG2\", \"bbox\": [92, 79, 121, 90]}, {\"cell\": \"C\", \"bbox\": [190, 79, 198, 90]}, {\"cell\": \"0.98\", \"bbox\": [257, 79, 274, 90]}, {\"cell\": \"0.86 \", \"bbox\": [316, 79, 333, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [377, 79, 390, 90]}, {\"cell\": \"0.714 \", \"bbox\": [456, 79, 476, 90]}, {\"cell\": \"rs17047757\", \"bbox\": [2, 91, 44, 102]}, {\"cell\": \"<i>INSIG2 </i>\", \"bbox\": [92, 92, 121, 100]}, {\"cell\": \"G\", \"bbox\": [190, 91, 198, 102]}, {\"cell\": \"1.04\", \"bbox\": [258, 91, 274, 102]}, {\"cell\": \"0.89 \", \"bbox\": [316, 91, 333, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 91, 391, 102]}, {\"cell\": \"0.622 \", \"bbox\": [455, 91, 477, 102]}, {\"cell\": \"rs9308762\", \"bbox\": [2, 104, 41, 115]}, {\"cell\": \"<i>INSIG2 </i>\", \"bbox\": [92, 104, 121, 112]}, {\"cell\": \"T\", \"bbox\": [190, 104, 198, 115]}, {\"cell\": \"1.03\", \"bbox\": [258, 104, 274, 115]}, {\"cell\": \"0.90 \", \"bbox\": [316, 104, 334, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 104, 391, 115]}, {\"cell\": \"0.710 \", \"bbox\": [456, 104, 476, 115]}, {\"cell\": \"rs12487736\", \"bbox\": [2, 116, 44, 127]}, {\"cell\": \"<i>SCAP </i>\", \"bbox\": [95, 116, 118, 125]}, {\"cell\": \"G\", \"bbox\": [190, 116, 198, 127]}, {\"cell\": \"1.15\", \"bbox\": [259, 116, 273, 127]}, {\"cell\": \"1.01 \", \"bbox\": [318, 116, 332, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 116, 391, 127]}, {\"cell\": \"0.039 \", \"bbox\": [455, 116, 477, 127]}, {\"cell\": \"rs12490383\", \"bbox\": [2, 129, 44, 139]}, {\"cell\": \"<i>SCAP </i>\", \"bbox\": [95, 129, 118, 137]}, {\"cell\": \"C\", \"bbox\": [190, 129, 198, 139]}, {\"cell\": \"1.17\", \"bbox\": [259, 129, 273, 139]}, {\"cell\": \"1.02 \", \"bbox\": [317, 129, 333, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 129, 391, 139]}, {\"cell\": \"0.026 \", \"bbox\": [455, 129, 477, 139]}, {\"cell\": \"rs2297508\", \"bbox\": [2, 141, 41, 152]}, {\"cell\": \"<i>SREBP1 </i>\", \"bbox\": [92, 141, 121, 150]}, {\"cell\": \"C\", \"bbox\": [190, 141, 198, 152]}, {\"cell\": \"1.02\", \"bbox\": [258, 141, 274, 152]}, {\"cell\": \"0.85 \", \"bbox\": [317, 141, 333, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 141, 391, 152]}, {\"cell\": \"0.813 \", \"bbox\": [456, 141, 476, 152]}, {\"cell\": \"rs60282872\", \"bbox\": [2, 154, 45, 164]}, {\"cell\": \"<i>SREBP1 </i>\", \"bbox\": [92, 154, 121, 162]}, {\"cell\": \"DEL\", \"bbox\": [185, 154, 203, 164]}, {\"cell\": \"0.88\", \"bbox\": [257, 154, 274, 164]}, {\"cell\": \"0.67 \", \"bbox\": [316, 154, 333, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 154, 391, 164]}, {\"cell\": \"0.367 \", \"bbox\": [455, 154, 477, 164]}, {\"cell\": \"rs7287010\", \"bbox\": [2, 166, 39, 177]}, {\"cell\": \"<i>SREBP2 </i>\", \"bbox\": [91, 166, 122, 175]}, {\"cell\": \"T\", \"bbox\": [190, 166, 198, 177]}, {\"cell\": \"1.03\", \"bbox\": [258, 166, 274, 177]}, {\"cell\": \"0.89 \", \"bbox\": [316, 166, 333, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 166, 391, 177]}, {\"cell\": \"0.706 \", \"bbox\": [455, 166, 477, 177]}, {\"cell\": \"rs1883205\", \"bbox\": [2, 179, 39, 189]}, {\"cell\": \"<i>SREBP2 </i>\", \"bbox\": [91, 179, 122, 187]}, {\"cell\": \"T\", \"bbox\": [190, 179, 198, 189]}, {\"cell\": \"0.92\", \"bbox\": [257, 179, 274, 189]}, {\"cell\": \"0.80 \", \"bbox\": [316, 179, 334, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 179, 391, 189]}, {\"cell\": \"0.222 \", \"bbox\": [455, 179, 476, 189]}, {\"cell\": \"rs133290\", \"bbox\": [2, 191, 35, 202]}, {\"cell\": \"<i>SREBP2 </i>\", \"bbox\": [91, 191, 122, 200]}, {\"cell\": \"C\", \"bbox\": [190, 191, 198, 202]}, {\"cell\": \"0.98\", \"bbox\": [257, 191, 274, 202]}, {\"cell\": \"0.85 \", \"bbox\": [317, 191, 333, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 191, 391, 202]}, {\"cell\": \"0.825 \", \"bbox\": [455, 191, 476, 202]}, {\"cell\": \"rs2228314\", \"bbox\": [2, 204, 39, 214]}, {\"cell\": \"<i>SREBP2 </i>\", \"bbox\": [91, 204, 122, 212]}, {\"cell\": \"C\", \"bbox\": [190, 204, 198, 214]}, {\"cell\": \"1.17\", \"bbox\": [259, 204, 273, 214]}, {\"cell\": \"1.00 \", \"bbox\": [317, 204, 333, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 204, 391, 214]}, {\"cell\": \"0.051 \", \"bbox\": [456, 204, 476, 214]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4083216_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}259{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Outcome group</b></td><td><b>Early resolving arthritis</b></td><td><b>Early persistent arthritis (All)</b></td><td><b>Early persistent RA</b></td><td><b>Established RA</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Number</td><td>24</td><td>31</td><td>[EMPTY_CELL]</td><td>20</td><td>na</td></tr><tr><td>Female</td><td rowspan=\\\"2\\\">16 (67%)</td><td rowspan=\\\"2\\\">21 (68%)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">15 (75%)</td><td rowspan=\\\"2\\\">ns</td></tr><tr><td>n (%)</td></tr><tr><td>Age, years; mean (SD)</td><td>51.8 (14.4)</td><td>56.9 (18.2)</td><td>[EMPTY_CELL]</td><td>58.2 (14.3)</td><td>ns</td></tr><tr><td>CRP, mg/l;</td><td rowspan=\\\"2\\\">8 (0-14)</td><td rowspan=\\\"2\\\">25 (10-44)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">9 (0-44.75)</td><td><i>P</i> = 0.0221 Early p arthritis (all) vs early resolving arthritis</td></tr><tr><td>Median (IQR)</td><td><i>P</i> = 0.0184 Early p RA vs early resolving arthritis</td></tr><tr><td>ESR, mm/h;</td><td rowspan=\\\"2\\\">20.5 (12-44.75)</td><td rowspan=\\\"2\\\">26 (20-60.75)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">25 (9.75-48.75)</td><td rowspan=\\\"2\\\">ns</td></tr><tr><td>Median (IQR)</td></tr><tr><td>DAS28, ESR;</td><td rowspan=\\\"2\\\">3.7 (3.5-5.1)</td><td rowspan=\\\"2\\\">5.3 (4.4-6.7)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">5.3 (4.3-6.1)</td><td><i>P</i> = 0.0013 Early p arthritis (all) vs early resolving arthritis</td></tr><tr><td>Median (IQR)</td><td><i>P</i> = 0.0054 Early p RA vs early resolving arthritis</td></tr><tr><td>Disease duration, weeks;</td><td rowspan=\\\"2\\\">6.5 (4-9.5)</td><td rowspan=\\\"2\\\">8 (6-10)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">42 (22.25-82.5)</td><td rowspan=\\\"2\\\"><i>P</i> < 0.0001 Established RA vs early p RA</td></tr><tr><td>Median (IQR)</td></tr><tr><td>Tender joint count 28;</td><td rowspan=\\\"2\\\">2.5 (1-4.75)</td><td rowspan=\\\"2\\\">7 (2-17)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">8.5 (4.25-19.75)</td><td><i>P</i> = 0.0072 Early p arthritis (all) vs early resolving arthritis</td></tr><tr><td>Median (IQR)</td><td><i>P</i> = 0.0072 Early p RA vs early resolving arthritis</td></tr><tr><td>Swollen joint count 28;</td><td rowspan=\\\"2\\\">1 (1-3.5)</td><td rowspan=\\\"2\\\">4 (1-11)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">7 (4-13.5)</td><td><i>P</i> = 0.0034 Early p arthritis (all) vs early resolving arthritis</td></tr><tr><td>Median (IQR)</td><td><i>P</i> = 0.0001 Early p RA vs early resolving arthritis</td></tr><tr><td>RF + ve</td><td rowspan=\\\"2\\\">3 (12.5%)</td><td rowspan=\\\"2\\\">10 (32%)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">8 (40%)</td><td rowspan=\\\"2\\\">ns</td></tr><tr><td>n (%)</td></tr><tr><td>Anti-CCP antibodies</td><td rowspan=\\\"2\\\">0 (0%)</td><td rowspan=\\\"2\\\">9 (29%)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">11 (55%)</td><td rowspan=\\\"2\\\"><i>P</i> = 0.0004</td></tr><tr><td>n (%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Outcome group</b>\", \"bbox\": [1, 4, 58, 13]}, {\"cell\": \"<b>Early resolving arthritis</b>\", \"bbox\": [96, 4, 149, 22]}, {\"cell\": \"<b>Early persistent arthritis (All)</b>\", \"bbox\": [164, 4, 220, 22]}, {\"cell\": \"<b>Early persistent RA</b>\", \"bbox\": [235, 4, 302, 13]}, {\"cell\": \"<b>Established RA</b>\", \"bbox\": [318, 4, 371, 13]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [386, 4, 393, 12]}, {\"cell\": \"Number\", \"bbox\": [0, 26, 29, 36]}, {\"cell\": \"24\", \"bbox\": [96, 26, 105, 36]}, {\"cell\": \"31\", \"bbox\": [164, 26, 174, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 26, 245, 36]}, {\"cell\": \"20\", \"bbox\": [318, 26, 327, 36]}, {\"cell\": \"na\", \"bbox\": [386, 26, 396, 36]}, {\"cell\": \"Female\", \"bbox\": [0, 40, 26, 50]}, {\"cell\": \"16 (67%)\", \"bbox\": [96, 40, 125, 50]}, {\"cell\": \"21 (68%)\", \"bbox\": [164, 40, 194, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 40, 265, 50]}, {\"cell\": \"15 (75%)\", \"bbox\": [318, 40, 347, 50]}, {\"cell\": \"ns\", \"bbox\": [386, 40, 396, 50]}, {\"cell\": \"n (%)\", \"bbox\": [0, 54, 19, 64]}, {\"cell\": \"Age, years; mean (SD)\", \"bbox\": [0, 68, 72, 78]}, {\"cell\": \"51.8 (14.4)\", \"bbox\": [96, 68, 130, 78]}, {\"cell\": \"56.9 (18.2)\", \"bbox\": [164, 68, 198, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 68, 273, 78]}, {\"cell\": \"58.2 (14.3)\", \"bbox\": [318, 68, 352, 78]}, {\"cell\": \"ns\", \"bbox\": [386, 68, 396, 78]}, {\"cell\": \"CRP, mg/l;\", \"bbox\": [0, 82, 35, 92]}, {\"cell\": \"8 (0-14)\", \"bbox\": [96, 82, 122, 92]}, {\"cell\": \"25 (10-44)\", \"bbox\": [164, 82, 198, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 82, 278, 92]}, {\"cell\": \"9 (0-44.75)\", \"bbox\": [318, 82, 353, 92]}, {\"cell\": \"<i>P</i> = 0.0221 Early p arthritis (all) vs early resolving arthritis\", \"bbox\": [386, 82, 484, 101]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 105, 44, 115]}, {\"cell\": \"<i>P</i> = 0.0184 Early p RA vs early resolving arthritis\", \"bbox\": [386, 105, 481, 124]}, {\"cell\": \"ESR, mm/h;\", \"bbox\": [0, 128, 39, 138]}, {\"cell\": \"20.5 (12-44.75)\", \"bbox\": [96, 128, 144, 138]}, {\"cell\": \"26 (20-60.75)\", \"bbox\": [164, 128, 207, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 128, 287, 138]}, {\"cell\": \"25 (9.75-48.75)\", \"bbox\": [318, 128, 366, 138]}, {\"cell\": \"ns\", \"bbox\": [386, 128, 396, 138]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 142, 44, 152]}, {\"cell\": \"DAS28, ESR;\", \"bbox\": [0, 156, 40, 166]}, {\"cell\": \"3.7 (3.5-5.1)\", \"bbox\": [96, 156, 134, 166]}, {\"cell\": \"5.3 (4.4-6.7)\", \"bbox\": [164, 156, 202, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 156, 277, 166]}, {\"cell\": \"5.3 (4.3-6.1)\", \"bbox\": [318, 156, 356, 166]}, {\"cell\": \"<i>P</i> = 0.0013 Early p arthritis (all) vs early resolving arthritis\", \"bbox\": [386, 156, 484, 175]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 179, 44, 189]}, {\"cell\": \"<i>P</i> = 0.0054 Early p RA vs early resolving arthritis\", \"bbox\": [386, 179, 481, 198]}, {\"cell\": \"Disease duration, weeks;\", \"bbox\": [0, 202, 80, 212]}, {\"cell\": \"6.5 (4-9.5)\", \"bbox\": [96, 202, 128, 212]}, {\"cell\": \"8 (6-10)\", \"bbox\": [164, 202, 190, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 202, 270, 212]}, {\"cell\": \"42 (22.25-82.5)\", \"bbox\": [318, 202, 366, 212]}, {\"cell\": \"<i>P</i> < 0.0001 Established RA vs early p RA\", \"bbox\": [386, 202, 478, 221]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 216, 44, 226]}, {\"cell\": \"Tender joint count 28;\", \"bbox\": [0, 230, 74, 240]}, {\"cell\": \"2.5 (1-4.75)\", \"bbox\": [96, 230, 132, 240]}, {\"cell\": \"7 (2-17)\", \"bbox\": [164, 230, 190, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 230, 280, 240]}, {\"cell\": \"8.5 (4.25-19.75)\", \"bbox\": [318, 230, 367, 240]}, {\"cell\": \"<i>P</i> = 0.0072 Early p arthritis (all) vs early resolving arthritis\", \"bbox\": [386, 230, 484, 249]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 253, 44, 263]}, {\"cell\": \"<i>P</i> = 0.0072 Early p RA vs early resolving arthritis\", \"bbox\": [386, 253, 481, 272]}, {\"cell\": \"Swollen joint count 28;\", \"bbox\": [0, 276, 76, 286]}, {\"cell\": \"1 (1-3.5)\", \"bbox\": [96, 276, 123, 286]}, {\"cell\": \"4 (1-11)\", \"bbox\": [164, 276, 190, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 276, 266, 286]}, {\"cell\": \"7 (4-13.5)\", \"bbox\": [318, 276, 349, 286]}, {\"cell\": \"<i>P</i> = 0.0034 Early p arthritis (all) vs early resolving arthritis\", \"bbox\": [386, 276, 484, 295]}, {\"cell\": \"Median (IQR)\", \"bbox\": [0, 299, 44, 309]}, {\"cell\": \"<i>P</i> = 0.0001 Early p RA vs early resolving arthritis\", \"bbox\": [386, 299, 481, 318]}, {\"cell\": \"RF + ve\", \"bbox\": [0, 322, 25, 332]}, {\"cell\": \"3 (12.5%)\", \"bbox\": [96, 322, 127, 332]}, {\"cell\": \"10 (32%)\", \"bbox\": [164, 322, 194, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 322, 261, 332]}, {\"cell\": \"8 (40%)\", \"bbox\": [318, 322, 344, 332]}, {\"cell\": \"ns\", \"bbox\": [386, 322, 396, 332]}, {\"cell\": \"n (%)\", \"bbox\": [0, 336, 19, 346]}, {\"cell\": \"Anti-CCP antibodies\", \"bbox\": [0, 350, 66, 360]}, {\"cell\": \"0 (0%)\", \"bbox\": [96, 350, 118, 360]}, {\"cell\": \"9 (29%)\", \"bbox\": [164, 350, 190, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 350, 261, 360]}, {\"cell\": \"11 (55%)\", \"bbox\": [318, 350, 347, 360]}, {\"cell\": \"<i>P</i> = 0.0004\", \"bbox\": [386, 350, 421, 360]}, {\"cell\": \"n (%)\", \"bbox\": [1, 364, 19, 374]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4431033_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}260{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Regions</b></td><td colspan=\\\"2\\\"><b>Discharges of foreigners</b></td><td><b>Percentage of total hospitalisation</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>N</b></td><td><b>%</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>North</td><td>[EMPTY_CELL]</td><td>62.7</td><td>3.1</td></tr><tr><td>Piemonte</td><td>[EMPTY_CELL]</td><td>8.8</td><td>3.0</td></tr><tr><td>Valle d'Aosta</td><td>[EMPTY_CELL]</td><td>0.2</td><td>2.8</td></tr><tr><td>Lombardia</td><td>[EMPTY_CELL]</td><td>24.7</td><td>3.3</td></tr><tr><td>Bolzano</td><td>[EMPTY_CELL]</td><td>1.7</td><td>4.6</td></tr><tr><td>Trento</td><td>[EMPTY_CELL]</td><td>1.2</td><td>3.2</td></tr><tr><td>Veneto</td><td>[EMPTY_CELL]</td><td>10.6</td><td>3.1</td></tr><tr><td>Friuli Venezia Giulia</td><td>[EMPTY_CELL]</td><td>2.0</td><td>2.5</td></tr><tr><td>Liguria</td><td>[EMPTY_CELL]</td><td>4.0</td><td>2.8</td></tr><tr><td>Emilia Romagna</td><td>[EMPTY_CELL]</td><td>9.5</td><td>2.8</td></tr><tr><td>Center</td><td>[EMPTY_CELL]</td><td>25.6</td><td>3.0</td></tr><tr><td>Toscana</td><td>[EMPTY_CELL]</td><td>8.8</td><td>3.4</td></tr><tr><td>Umbria</td><td>[EMPTY_CELL]</td><td>2.2</td><td>3.0</td></tr><tr><td>Marche</td><td>[EMPTY_CELL]</td><td>2.0</td><td>1.8</td></tr><tr><td>Lazio</td><td>[EMPTY_CELL]</td><td>12.7</td><td>3.1</td></tr><tr><td>South and Islands</td><td>[EMPTY_CELL]</td><td>11.6</td><td>0.7</td></tr><tr><td>Abruzzo</td><td>[EMPTY_CELL]</td><td>1.1</td><td>0.9</td></tr><tr><td>Molise</td><td>[EMPTY_CELL]</td><td>0.1</td><td>0.4</td></tr><tr><td>Campania</td><td>[EMPTY_CELL]</td><td>3.9</td><td>0.9</td></tr><tr><td>Puglia</td><td>[EMPTY_CELL]</td><td>1.9</td><td>0.5</td></tr><tr><td>Basilicata<sup>a</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Calabria</td><td>[EMPTY_CELL]</td><td>0.9</td><td>0.6</td></tr><tr><td>Sicilia</td><td>[EMPTY_CELL]</td><td>2.7</td><td>0.7</td></tr><tr><td>Sardegna</td><td>[EMPTY_CELL]</td><td>1.1</td><td>0.9</td></tr><tr><td>Total</td><td>[EMPTY_CELL]</td><td>100.0</td><td>2.2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Regions</b>\", \"bbox\": [50, 4, 78, 14]}, {\"cell\": \"<b>Discharges of foreigners</b>\", \"bbox\": [209, 4, 292, 14]}, {\"cell\": \"<b>Percentage of total hospitalisation</b>\", \"bbox\": [380, 4, 496, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N</b>\", \"bbox\": [184, 27, 193, 36]}, {\"cell\": \"<b>%</b>\", \"bbox\": [309, 27, 317, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"North\", \"bbox\": [4, 49, 28, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 49, 202, 59]}, {\"cell\": \"62.7\", \"bbox\": [305, 49, 321, 59]}, {\"cell\": \"3.1\", \"bbox\": [432, 49, 444, 59]}, {\"cell\": \"Piemonte\", \"bbox\": [90, 59, 123, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 59, 200, 69]}, {\"cell\": \"8.8\", \"bbox\": [307, 59, 319, 69]}, {\"cell\": \"3.0\", \"bbox\": [432, 59, 444, 69]}, {\"cell\": \"Valle d'Aosta\", \"bbox\": [78, 69, 123, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 69, 196, 79]}, {\"cell\": \"0.2\", \"bbox\": [307, 69, 319, 79]}, {\"cell\": \"2.8\", \"bbox\": [432, 69, 444, 79]}, {\"cell\": \"Lombardia\", \"bbox\": [86, 80, 123, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 80, 200, 89]}, {\"cell\": \"24.7\", \"bbox\": [305, 80, 321, 89]}, {\"cell\": \"3.3\", \"bbox\": [432, 80, 444, 89]}, {\"cell\": \"Bolzano\", \"bbox\": [95, 90, 123, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 90, 198, 100]}, {\"cell\": \"1.7\", \"bbox\": [307, 90, 319, 100]}, {\"cell\": \"4.6\", \"bbox\": [432, 90, 444, 100]}, {\"cell\": \"Trento\", \"bbox\": [98, 100, 123, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 100, 198, 110]}, {\"cell\": \"1.2\", \"bbox\": [307, 100, 319, 110]}, {\"cell\": \"3.2\", \"bbox\": [432, 100, 444, 110]}, {\"cell\": \"Veneto\", \"bbox\": [97, 110, 123, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 110, 200, 120]}, {\"cell\": \"10.6\", \"bbox\": [305, 110, 321, 120]}, {\"cell\": \"3.1\", \"bbox\": [432, 110, 444, 120]}, {\"cell\": \"Friuli Venezia Giulia\", \"bbox\": [55, 121, 123, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 121, 198, 130]}, {\"cell\": \"2.0\", \"bbox\": [307, 121, 319, 130]}, {\"cell\": \"2.5\", \"bbox\": [432, 121, 444, 130]}, {\"cell\": \"Liguria\", \"bbox\": [99, 131, 123, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 131, 200, 141]}, {\"cell\": \"4.0\", \"bbox\": [307, 131, 319, 141]}, {\"cell\": \"2.8\", \"bbox\": [432, 131, 444, 141]}, {\"cell\": \"Emilia Romagna\", \"bbox\": [69, 141, 123, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 141, 200, 151]}, {\"cell\": \"9.5\", \"bbox\": [307, 141, 319, 151]}, {\"cell\": \"2.8\", \"bbox\": [432, 141, 444, 151]}, {\"cell\": \"Center\", \"bbox\": [4, 162, 30, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 162, 200, 171]}, {\"cell\": \"25.6\", \"bbox\": [305, 162, 321, 171]}, {\"cell\": \"3.0\", \"bbox\": [432, 162, 444, 171]}, {\"cell\": \"Toscana\", \"bbox\": [94, 172, 123, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 172, 200, 182]}, {\"cell\": \"8.8\", \"bbox\": [307, 172, 319, 182]}, {\"cell\": \"3.4\", \"bbox\": [432, 172, 444, 182]}, {\"cell\": \"Umbria\", \"bbox\": [96, 182, 123, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 182, 198, 192]}, {\"cell\": \"2.2\", \"bbox\": [307, 182, 319, 192]}, {\"cell\": \"3.0\", \"bbox\": [432, 182, 444, 192]}, {\"cell\": \"Marche\", \"bbox\": [96, 192, 123, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 192, 198, 202]}, {\"cell\": \"2.0\", \"bbox\": [307, 192, 319, 202]}, {\"cell\": \"1.8\", \"bbox\": [432, 192, 444, 202]}, {\"cell\": \"Lazio\", \"bbox\": [104, 203, 123, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 203, 200, 212]}, {\"cell\": \"12.7\", \"bbox\": [305, 203, 321, 212]}, {\"cell\": \"3.1\", \"bbox\": [432, 203, 444, 212]}, {\"cell\": \"South and Islands\", \"bbox\": [4, 223, 64, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 223, 200, 233]}, {\"cell\": \"11.6\", \"bbox\": [305, 223, 321, 233]}, {\"cell\": \"0.7\", \"bbox\": [432, 223, 444, 233]}, {\"cell\": \"Abruzzo\", \"bbox\": [93, 233, 123, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 233, 198, 243]}, {\"cell\": \"1.1\", \"bbox\": [307, 233, 319, 243]}, {\"cell\": \"0.9\", \"bbox\": [432, 233, 444, 243]}, {\"cell\": \"Molise\", \"bbox\": [100, 244, 123, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 244, 196, 253]}, {\"cell\": \"0.1\", \"bbox\": [307, 244, 319, 253]}, {\"cell\": \"0.4\", \"bbox\": [432, 244, 444, 253]}, {\"cell\": \"Campania\", \"bbox\": [88, 254, 123, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 254, 200, 264]}, {\"cell\": \"3.9\", \"bbox\": [307, 254, 319, 264]}, {\"cell\": \"0.9\", \"bbox\": [432, 254, 444, 264]}, {\"cell\": \"Puglia\", \"bbox\": [102, 264, 123, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 264, 198, 274]}, {\"cell\": \"1.9\", \"bbox\": [307, 264, 319, 274]}, {\"cell\": \"0.5\", \"bbox\": [432, 264, 444, 274]}, {\"cell\": \"Basilicata<sup>a</sup>\", \"bbox\": [89, 274, 123, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Calabria\", \"bbox\": [94, 285, 123, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 285, 198, 294]}, {\"cell\": \"0.9\", \"bbox\": [307, 285, 319, 294]}, {\"cell\": \"0.6\", \"bbox\": [432, 285, 444, 294]}, {\"cell\": \"Sicilia\", \"bbox\": [103, 295, 123, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 295, 198, 305]}, {\"cell\": \"2.7\", \"bbox\": [307, 295, 319, 305]}, {\"cell\": \"0.7\", \"bbox\": [432, 295, 444, 305]}, {\"cell\": \"Sardegna\", \"bbox\": [91, 305, 123, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 305, 198, 315]}, {\"cell\": \"1.1\", \"bbox\": [307, 305, 319, 315]}, {\"cell\": \"0.9\", \"bbox\": [432, 305, 444, 315]}, {\"cell\": \"Total\", \"bbox\": [104, 326, 123, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 326, 202, 335]}, {\"cell\": \"100.0\", \"bbox\": [303, 326, 323, 335]}, {\"cell\": \"2.2\", \"bbox\": [432, 326, 444, 335]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1475860_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}261{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Overall</b></td><td><b>Albumin ≥ 4.0</b></td><td><b>Albumin < 4.0</b></td><td><b>P value</b></td></tr></thead><tbody><tr><td>Number of patients</td><td>[EMPTY_CELL]</td><td>36</td><td>20</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (year)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.6563</td></tr><tr><td>Median (range)</td><td>[EMPTY_CELL]</td><td>52 (23–70)</td><td>56 (28–68)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">ECOG performance status score – no. (%)</td><td>[EMPTY_CELL]</td></tr><tr><td>0 -1</td><td>[EMPTY_CELL]</td><td>33</td><td>15</td><td>[EMPTY_CELL]</td></tr><tr><td>2-</td><td>[EMPTY_CELL]</td><td>3</td><td>5</td><td>[EMPTY_CELL]</td></tr><tr><td>Histological diagnosis – no. (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.2583</td></tr><tr><td>Serous cystadenocarcinoma</td><td>[EMPTY_CELL]</td><td>25</td><td>12</td><td>[EMPTY_CELL]</td></tr><tr><td>Endometrioid adenocarcinoma</td><td>[EMPTY_CELL]</td><td>5</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Clear cell adenocarcinoma</td><td>[EMPTY_CELL]</td><td>2</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>Others</td><td>[EMPTY_CELL]</td><td>3</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Unknown</td><td>[EMPTY_CELL]</td><td>1</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>Site of metastasis – no. (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Peritoneum</td><td>[EMPTY_CELL]</td><td>20</td><td>9</td><td>0.1413</td></tr><tr><td>Liver</td><td>[EMPTY_CELL]</td><td>7</td><td>4</td><td>0.5185</td></tr><tr><td>Ascites</td><td>[EMPTY_CELL]</td><td>13</td><td>8</td><td>0.4371</td></tr><tr><td>Peptide</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.1694</td></tr><tr><td>WT1</td><td>[EMPTY_CELL]</td><td>31</td><td>15</td><td>[EMPTY_CELL]</td></tr><tr><td>MUC1</td><td>[EMPTY_CELL]</td><td>27</td><td>12</td><td>[EMPTY_CELL]</td></tr><tr><td>CA125</td><td>[EMPTY_CELL]</td><td>7</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Number of DC vaccine administration</td></tr><tr><td>Median (range)</td><td>[EMPTY_CELL]</td><td>7 (5–18)</td><td>7 (5–20)</td><td>0.6867</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Overall</b>\", \"bbox\": [162, 4, 189, 12]}, {\"cell\": \"<b>Albumin ≥ 4.0</b>\", \"bbox\": [248, 4, 297, 12]}, {\"cell\": \"<b>Albumin < 4.0</b>\", \"bbox\": [352, 4, 402, 12]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [457, 4, 484, 12]}, {\"cell\": \"Number of patients\", \"bbox\": [0, 17, 65, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 17, 180, 27]}, {\"cell\": \"36\", \"bbox\": [268, 17, 278, 27]}, {\"cell\": \"20\", \"bbox\": [372, 17, 382, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (year)\", \"bbox\": [0, 31, 35, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.6563\", \"bbox\": [459, 31, 482, 41]}, {\"cell\": \"Median (range)\", \"bbox\": [0, 45, 51, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 45, 193, 55]}, {\"cell\": \"52 (23–70)\", \"bbox\": [255, 45, 290, 55]}, {\"cell\": \"56 (28–68)\", \"bbox\": [360, 45, 395, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ECOG performance status score – no. (%)\", \"bbox\": [1, 59, 135, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 59, 482, 69]}, {\"cell\": \"0 -1\", \"bbox\": [0, 73, 15, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 73, 187, 83]}, {\"cell\": \"33\", \"bbox\": [268, 73, 278, 83]}, {\"cell\": \"15\", \"bbox\": [372, 73, 382, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2-\", \"bbox\": [0, 87, 9, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 87, 185, 97]}, {\"cell\": \"3\", \"bbox\": [270, 87, 276, 97]}, {\"cell\": \"5\", \"bbox\": [374, 87, 380, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histological diagnosis – no. (%)\", \"bbox\": [0, 101, 103, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.2583\", \"bbox\": [459, 101, 482, 111]}, {\"cell\": \"Serous cystadenocarcinoma\", \"bbox\": [1, 115, 92, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 115, 187, 125]}, {\"cell\": \"25\", \"bbox\": [268, 115, 278, 125]}, {\"cell\": \"12\", \"bbox\": [372, 115, 382, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Endometrioid adenocarcinoma\", \"bbox\": [1, 129, 102, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 129, 185, 139]}, {\"cell\": \"5\", \"bbox\": [270, 129, 276, 139]}, {\"cell\": \"1\", \"bbox\": [374, 129, 380, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Clear cell adenocarcinoma\", \"bbox\": [1, 143, 87, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 143, 186, 153]}, {\"cell\": \"2\", \"bbox\": [270, 143, 276, 153]}, {\"cell\": \"3\", \"bbox\": [374, 143, 380, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Others\", \"bbox\": [1, 157, 24, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 157, 186, 167]}, {\"cell\": \"3\", \"bbox\": [270, 157, 276, 167]}, {\"cell\": \"1\", \"bbox\": [374, 157, 380, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unknown\", \"bbox\": [1, 171, 34, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 171, 186, 181]}, {\"cell\": \"1\", \"bbox\": [270, 171, 276, 181]}, {\"cell\": \"3\", \"bbox\": [374, 171, 380, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Site of metastasis – no. (%)\", \"bbox\": [1, 185, 89, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Peritoneum\", \"bbox\": [1, 199, 40, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 199, 187, 209]}, {\"cell\": \"20\", \"bbox\": [268, 199, 278, 209]}, {\"cell\": \"9\", \"bbox\": [374, 199, 380, 209]}, {\"cell\": \"0.1413\", \"bbox\": [459, 199, 482, 209]}, {\"cell\": \"Liver\", \"bbox\": [1, 213, 17, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 213, 187, 223]}, {\"cell\": \"7\", \"bbox\": [270, 213, 276, 223]}, {\"cell\": \"4\", \"bbox\": [374, 213, 380, 223]}, {\"cell\": \"0.5185\", \"bbox\": [459, 213, 482, 223]}, {\"cell\": \"Ascites\", \"bbox\": [1, 227, 24, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 227, 187, 237]}, {\"cell\": \"13\", \"bbox\": [268, 227, 278, 237]}, {\"cell\": \"8\", \"bbox\": [374, 227, 380, 237]}, {\"cell\": \"0.4371\", \"bbox\": [459, 227, 482, 237]}, {\"cell\": \"Peptide\", \"bbox\": [1, 241, 27, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.1694\", \"bbox\": [459, 241, 482, 251]}, {\"cell\": \"WT1\", \"bbox\": [1, 255, 16, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 255, 187, 265]}, {\"cell\": \"31\", \"bbox\": [268, 255, 278, 265]}, {\"cell\": \"15\", \"bbox\": [372, 255, 382, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1\", \"bbox\": [1, 269, 22, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 269, 187, 279]}, {\"cell\": \"27\", \"bbox\": [268, 269, 278, 279]}, {\"cell\": \"12\", \"bbox\": [372, 269, 382, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CA125\", \"bbox\": [1, 283, 23, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 283, 187, 293]}, {\"cell\": \"7\", \"bbox\": [270, 283, 276, 293]}, {\"cell\": \"9\", \"bbox\": [374, 283, 380, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of DC vaccine administration\", \"bbox\": [1, 297, 124, 307]}, {\"cell\": \"Median (range)\", \"bbox\": [1, 311, 51, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 311, 189, 321]}, {\"cell\": \"7 (5–18)\", \"bbox\": [259, 311, 287, 321]}, {\"cell\": \"7 (5–20)\", \"bbox\": [363, 311, 391, 321]}, {\"cell\": \"0.6867\", \"bbox\": [459, 311, 482, 321]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4108140_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}262{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Reponses in Year-2 telephone interviews (average use frequency for a 3-month period)<sup>b</sup></b></td><td colspan=\\\"3\\\"><b>Reponses in web surveys (household average # of uses in a 3-month period)</b></td><td rowspan=\\\"2\\\"><b>% of web surveys that agreed with telephone surveys</b></td><td rowspan=\\\"2\\\"><b>Kappa coefficient</b></td></tr><tr><td><b>0-1</b></td><td><b>2-3</b></td><td><b>4 or more</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.22</td></tr><tr><td>[EMPTY_CELL]</td><td>74%</td><td>9%</td><td>3%</td><td>86%</td><td>[-0.01,0.46]</td></tr><tr><td>[EMPTY_CELL]</td><td>8%</td><td>1%</td><td>0%</td><td>17%</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0%</td><td>3%</td><td>3%</td><td>50%</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.06</td></tr><tr><td>[EMPTY_CELL]</td><td>70%</td><td>9%</td><td>4%</td><td>85%</td><td>[-0.15,0.28]</td></tr><tr><td>[EMPTY_CELL]</td><td>11%</td><td>2%</td><td>0%</td><td>17%</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2%</td><td>4%</td><td>0%</td><td>0%</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>—</td></tr><tr><td>[EMPTY_CELL]</td><td>90%</td><td>10%</td><td>0%</td><td>90%</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.17</td></tr><tr><td>[EMPTY_CELL]</td><td>51%</td><td>20%</td><td>4%</td><td>68%</td><td>[-0.06,0.41]</td></tr><tr><td>[EMPTY_CELL]</td><td>9%</td><td>7%</td><td>7%</td><td>30%</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0%</td><td>0%</td><td>2%</td><td>100%</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Reponses in Year-2 telephone interviews (average use frequency for a 3-month period)<sup>b</sup></b>\", \"bbox\": [1, 4, 156, 22]}, {\"cell\": \"<b>Reponses in web surveys (household average # of uses in a 3-month period)</b>\", \"bbox\": [164, 4, 333, 22]}, {\"cell\": \"<b>% of web surveys that agreed with telephone surveys</b>\", \"bbox\": [340, 4, 441, 22]}, {\"cell\": \"<b>Kappa coefficient</b>\", \"bbox\": [447, 4, 484, 22]}, {\"cell\": \"<b>0-1</b>\", \"bbox\": [179, 26, 192, 36]}, {\"cell\": \"<b>2-3</b>\", \"bbox\": [231, 26, 244, 36]}, {\"cell\": \"<b>4 or more</b>\", \"bbox\": [282, 26, 319, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [38, 39, 119, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.22\", \"bbox\": [458, 39, 473, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 53, 84, 62]}, {\"cell\": \"74%\", \"bbox\": [178, 53, 193, 62]}, {\"cell\": \"9%\", \"bbox\": [232, 53, 244, 62]}, {\"cell\": \"3%\", \"bbox\": [295, 53, 306, 62]}, {\"cell\": \"86%\", \"bbox\": [383, 53, 398, 62]}, {\"cell\": \"[-0.01,0.46]\", \"bbox\": [447, 53, 484, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 67, 84, 76]}, {\"cell\": \"8%\", \"bbox\": [180, 67, 191, 76]}, {\"cell\": \"1%\", \"bbox\": [232, 67, 244, 76]}, {\"cell\": \"0%\", \"bbox\": [295, 67, 306, 76]}, {\"cell\": \"17%\", \"bbox\": [383, 67, 398, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 81, 95, 90]}, {\"cell\": \"0%\", \"bbox\": [180, 81, 191, 90]}, {\"cell\": \"3%\", \"bbox\": [232, 81, 244, 90]}, {\"cell\": \"3%\", \"bbox\": [295, 81, 306, 90]}, {\"cell\": \"50%\", \"bbox\": [383, 81, 398, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 95, 116, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.06\", \"bbox\": [458, 95, 473, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 109, 84, 118]}, {\"cell\": \"70%\", \"bbox\": [178, 109, 193, 118]}, {\"cell\": \"9%\", \"bbox\": [232, 109, 244, 118]}, {\"cell\": \"4%\", \"bbox\": [295, 109, 306, 118]}, {\"cell\": \"85%\", \"bbox\": [383, 109, 398, 118]}, {\"cell\": \"[-0.15,0.28]\", \"bbox\": [447, 109, 484, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 123, 84, 132]}, {\"cell\": \"11%\", \"bbox\": [178, 123, 193, 132]}, {\"cell\": \"2%\", \"bbox\": [232, 123, 244, 132]}, {\"cell\": \"0%\", \"bbox\": [295, 123, 306, 132]}, {\"cell\": \"17%\", \"bbox\": [383, 123, 398, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 137, 95, 146]}, {\"cell\": \"2%\", \"bbox\": [180, 137, 191, 146]}, {\"cell\": \"4%\", \"bbox\": [232, 137, 244, 146]}, {\"cell\": \"0%\", \"bbox\": [295, 137, 306, 146]}, {\"cell\": \"0%\", \"bbox\": [385, 137, 396, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 151, 118, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"—\", \"bbox\": [461, 155, 471, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 165, 84, 174]}, {\"cell\": \"90%\", \"bbox\": [178, 165, 193, 174]}, {\"cell\": \"10%\", \"bbox\": [230, 165, 245, 174]}, {\"cell\": \"0%\", \"bbox\": [295, 165, 306, 174]}, {\"cell\": \"90%\", \"bbox\": [383, 165, 398, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 179, 153, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.17\", \"bbox\": [458, 179, 473, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 193, 84, 202]}, {\"cell\": \"51%\", \"bbox\": [178, 193, 193, 202]}, {\"cell\": \"20%\", \"bbox\": [230, 193, 245, 202]}, {\"cell\": \"4%\", \"bbox\": [295, 193, 306, 202]}, {\"cell\": \"68%\", \"bbox\": [383, 193, 398, 202]}, {\"cell\": \"[-0.06,0.41]\", \"bbox\": [447, 193, 484, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 207, 84, 216]}, {\"cell\": \"9%\", \"bbox\": [180, 207, 191, 216]}, {\"cell\": \"7%\", \"bbox\": [232, 207, 244, 216]}, {\"cell\": \"7%\", \"bbox\": [295, 207, 306, 216]}, {\"cell\": \"30%\", \"bbox\": [383, 207, 398, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 221, 95, 230]}, {\"cell\": \"0%\", \"bbox\": [180, 221, 191, 230]}, {\"cell\": \"0%\", \"bbox\": [232, 221, 244, 230]}, {\"cell\": \"2%\", \"bbox\": [295, 221, 306, 230]}, {\"cell\": \"100%\", \"bbox\": [381, 221, 400, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3765515_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}263{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Year, total population</b></td><td><b>Procedure</b></td><td><b>Number clinically detected</b></td><td><b>tTGA positive in screening</b></td><td><b>EmA positive in screening</b></td><td><b>Biopsy-proven cases in screening</b></td><td><b>Overall frequency of biopsy proven CD</b></td><td><b>Patients with CD and tTGA seropositive individuals</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Serum sampling</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Recording of detected CD. First serologic analysis</td><td>25</td><td>48</td><td>43</td><td>35</td><td>60</td><td>69<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>Recording of detected CD. Second serologic screening</td><td>1</td><td>6</td><td>4</td><td>5<sup>b</sup></td><td>6</td><td>7</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.92% (26/2815)</td><td>1.92%(54/2815)</td><td>1.70% (47/2815)</td><td>1.42%(40/2815)</td><td>2.34%(66/2815)</td><td>2.70%(76/2815)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.57–1.27%</td><td>1.41–2.43%</td><td>1.22–2.18%</td><td>0.98–1.86%</td><td>1.78–2.90%</td><td>2.10–3.30%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Year, total population</b>\", \"bbox\": [4, 4, 42, 23]}, {\"cell\": \"<b>Procedure</b>\", \"bbox\": [67, 4, 104, 14]}, {\"cell\": \"<b>Number clinically detected</b>\", \"bbox\": [129, 4, 161, 33]}, {\"cell\": \"<b>tTGA positive in screening</b>\", \"bbox\": [192, 4, 241, 23]}, {\"cell\": \"<b>EmA positive in screening</b>\", \"bbox\": [254, 4, 308, 23]}, {\"cell\": \"<b>Biopsy-proven cases in screening</b>\", \"bbox\": [316, 4, 366, 33]}, {\"cell\": \"<b>Overall frequency of biopsy proven CD</b>\", \"bbox\": [379, 4, 428, 42]}, {\"cell\": \"<b>Patients with CD and tTGA seropositive individuals</b>\", \"bbox\": [441, 4, 491, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 54, 44, 64]}, {\"cell\": \"Serum sampling\", \"bbox\": [67, 54, 121, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 65, 43, 74]}, {\"cell\": \"Recording of detected CD. First serologic analysis\", \"bbox\": [67, 65, 116, 102]}, {\"cell\": \"25\", \"bbox\": [129, 65, 139, 74]}, {\"cell\": \"48\", \"bbox\": [192, 65, 202, 74]}, {\"cell\": \"43\", \"bbox\": [254, 65, 264, 74]}, {\"cell\": \"35\", \"bbox\": [316, 65, 327, 74]}, {\"cell\": \"60\", \"bbox\": [379, 65, 389, 74]}, {\"cell\": \"69<sup>a</sup>\", \"bbox\": [441, 64, 454, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 103, 43, 112]}, {\"cell\": \"Recording of detected CD. Second serologic screening\", \"bbox\": [67, 103, 114, 149]}, {\"cell\": \"1\", \"bbox\": [129, 103, 135, 112]}, {\"cell\": \"6\", \"bbox\": [192, 103, 198, 112]}, {\"cell\": \"4\", \"bbox\": [254, 103, 260, 112]}, {\"cell\": \"5<sup>b</sup>\", \"bbox\": [316, 102, 325, 112]}, {\"cell\": \"6\", \"bbox\": [379, 103, 385, 112]}, {\"cell\": \"7\", \"bbox\": [441, 103, 447, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 150, 59, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.92% (26/2815)\", \"bbox\": [129, 150, 186, 160]}, {\"cell\": \"1.92%(54/2815)\", \"bbox\": [192, 150, 226, 169]}, {\"cell\": \"1.70% (47/2815)\", \"bbox\": [254, 150, 310, 160]}, {\"cell\": \"1.42%(40/2815)\", \"bbox\": [316, 150, 351, 169]}, {\"cell\": \"2.34%(66/2815)\", \"bbox\": [379, 150, 413, 169]}, {\"cell\": \"2.70%(76/2815)\", \"bbox\": [441, 150, 475, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 179, 59, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.57–1.27%\", \"bbox\": [129, 179, 169, 188]}, {\"cell\": \"1.41–2.43%\", \"bbox\": [192, 179, 232, 188]}, {\"cell\": \"1.22–2.18%\", \"bbox\": [254, 179, 294, 188]}, {\"cell\": \"0.98–1.86%\", \"bbox\": [316, 179, 356, 188]}, {\"cell\": \"1.78–2.90%\", \"bbox\": [379, 179, 419, 188]}, {\"cell\": \"2.10–3.30%\", \"bbox\": [441, 179, 481, 188]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2711095_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}264{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Test</b></td><td><b>Species</b></td><td><b>% PCV non-infected ± SD<sup>a</sup></b></td><td><b>% PCV infected ± SD<sup>a</sup></b></td><td><b>Regression coefficient value</b></td><td><b>t<sup>b</sup></b></td><td><b>P<sup>c</sup></b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">mHCT</td><td>[EMPTY_CELL]</td><td>25.8 ± 3.53</td><td>21.5 ± 2.53</td><td>−4.23</td><td>−6.50</td><td><0.001*</td></tr><tr><td>Cattle</td><td>[EMPTY_CELL]</td><td>24.9 ± 5.49</td><td>−0.97</td><td>−1.07</td><td>0.287</td></tr><tr><td rowspan=\\\"5\\\">CATT/<i>T.evansi</i></td><td>[EMPTY_CELL]</td><td>25.9 ± 3.46</td><td>23.8 ± 3.87</td><td>−2.09</td><td>−5.59</td><td><0.001*</td></tr><tr><td>Cattle</td><td>[EMPTY_CELL]</td><td>24.6 ± 4.19</td><td>−2.02</td><td>−4.20</td><td><0.001*</td></tr><tr><td>Equines</td><td>[EMPTY_CELL]</td><td>27.9 ± 7.9</td><td>−5.71</td><td>−2.56</td><td>0.012*</td></tr><tr><td>Goats</td><td>[EMPTY_CELL]</td><td>24.9 ± 4.57</td><td>−1.79</td><td>−1.73</td><td>0.084</td></tr><tr><td>Sheep</td><td>[EMPTY_CELL]</td><td>22.9 ± 6.11</td><td>−2.12</td><td>−1.77</td><td>0.088</td></tr><tr><td rowspan=\\\"5\\\">RoTat 1.2 PCR</td><td>[EMPTY_CELL]</td><td>25.0 ± 3.49</td><td>23.7 ± 3.81</td><td>−2.16</td><td>−5.39</td><td><0.001*</td></tr><tr><td>Cattle</td><td>[EMPTY_CELL]</td><td>26.3 ± 5.56</td><td>0.53</td><td>0.54</td><td>0.591</td></tr><tr><td>Equines</td><td>[EMPTY_CELL]</td><td>33.1 ± 7.1</td><td>−0.98</td><td>−0.05</td><td>0.960</td></tr><tr><td>Goats</td><td>[EMPTY_CELL]</td><td>23.3 ± 5.89</td><td>−3.29</td><td>−1.79</td><td>0.074</td></tr><tr><td>Sheep</td><td>[EMPTY_CELL]</td><td>25.5 ± 3.89</td><td>0.74</td><td>0.26</td><td>0.796</td></tr><tr><td rowspan=\\\"5\\\"><i>Tv</i>PRAC</td><td>[EMPTY_CELL]</td><td>25.7 ± 3.57</td><td>23.8 ± 3.77</td><td>−1.89</td><td>−2.65</td><td>0.008*</td></tr><tr><td>Cattle</td><td>[EMPTY_CELL]</td><td>23.1 ± 2.91</td><td>−2.83</td><td>−1.92</td><td>0.056</td></tr><tr><td>Equines</td><td>[EMPTY_CELL]</td><td>33.2 ± 5</td><td>−0.003</td><td>0.00</td><td>0.999</td></tr><tr><td>Goats</td><td>[EMPTY_CELL]</td><td>26.9 ± 6.30</td><td>0.543</td><td>0.26</td><td>0.792</td></tr><tr><td>Sheep</td><td>[EMPTY_CELL]</td><td>23.8 ± 4.33</td><td>−1.05</td><td>−0.36</td><td>0.716</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Test</b>\", \"bbox\": [1, 4, 17, 13]}, {\"cell\": \"<b>Species</b>\", \"bbox\": [63, 4, 91, 13]}, {\"cell\": \"<b>% PCV non-infected ± SD<sup>a</sup></b>\", \"bbox\": [107, 2, 199, 13]}, {\"cell\": \"<b>% PCV infected ± SD<sup>a</sup></b>\", \"bbox\": [215, 2, 290, 13]}, {\"cell\": \"<b>Regression coefficient value</b>\", \"bbox\": [307, 4, 406, 13]}, {\"cell\": \"<b>t<sup>b</sup></b>\", \"bbox\": [422, 2, 430, 13]}, {\"cell\": \"<b>P<sup>c</sup></b>\", \"bbox\": [458, 2, 467, 13]}, {\"cell\": \"mHCT\", \"bbox\": [1, 17, 22, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 17, 88, 26]}, {\"cell\": \"25.8 ± 3.53\", \"bbox\": [107, 17, 143, 26]}, {\"cell\": \"21.5 ± 2.53\", \"bbox\": [215, 17, 250, 26]}, {\"cell\": \"−4.23\", \"bbox\": [307, 17, 326, 26]}, {\"cell\": \"−6.50\", \"bbox\": [422, 17, 442, 26]}, {\"cell\": \"<0.001*\", \"bbox\": [458, 17, 484, 26]}, {\"cell\": \"Cattle\", \"bbox\": [63, 31, 83, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 31, 143, 40]}, {\"cell\": \"24.9 ± 5.49\", \"bbox\": [215, 31, 250, 40]}, {\"cell\": \"−0.97\", \"bbox\": [307, 31, 326, 40]}, {\"cell\": \"−1.07\", \"bbox\": [422, 31, 442, 40]}, {\"cell\": \"0.287\", \"bbox\": [458, 31, 477, 40]}, {\"cell\": \"CATT/<i>T.evansi</i>\", \"bbox\": [1, 45, 46, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 45, 88, 54]}, {\"cell\": \"25.9 ± 3.46\", \"bbox\": [107, 45, 143, 54]}, {\"cell\": \"23.8 ± 3.87\", \"bbox\": [215, 45, 250, 54]}, {\"cell\": \"−2.09\", \"bbox\": [307, 45, 326, 54]}, {\"cell\": \"−5.59\", \"bbox\": [422, 45, 442, 54]}, {\"cell\": \"<0.001*\", \"bbox\": [458, 45, 484, 54]}, {\"cell\": \"Cattle\", \"bbox\": [63, 59, 83, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 59, 143, 68]}, {\"cell\": \"24.6 ± 4.19\", \"bbox\": [215, 59, 250, 68]}, {\"cell\": \"−2.02\", \"bbox\": [307, 59, 326, 68]}, {\"cell\": \"−4.20\", \"bbox\": [422, 59, 442, 68]}, {\"cell\": \"<0.001*\", \"bbox\": [458, 59, 484, 68]}, {\"cell\": \"Equines\", \"bbox\": [63, 73, 90, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 73, 139, 82]}, {\"cell\": \"27.9 ± 7.9\", \"bbox\": [215, 73, 247, 82]}, {\"cell\": \"−5.71\", \"bbox\": [307, 73, 326, 82]}, {\"cell\": \"−2.56\", \"bbox\": [422, 73, 442, 82]}, {\"cell\": \"0.012*\", \"bbox\": [458, 73, 480, 82]}, {\"cell\": \"Goats\", \"bbox\": [63, 87, 83, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 87, 143, 96]}, {\"cell\": \"24.9 ± 4.57\", \"bbox\": [215, 87, 250, 96]}, {\"cell\": \"−1.79\", \"bbox\": [307, 87, 326, 96]}, {\"cell\": \"−1.73\", \"bbox\": [422, 87, 442, 96]}, {\"cell\": \"0.084\", \"bbox\": [458, 87, 477, 96]}, {\"cell\": \"Sheep\", \"bbox\": [63, 101, 85, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 101, 143, 110]}, {\"cell\": \"22.9 ± 6.11\", \"bbox\": [215, 101, 250, 110]}, {\"cell\": \"−2.12\", \"bbox\": [307, 101, 326, 110]}, {\"cell\": \"−1.77\", \"bbox\": [422, 101, 442, 110]}, {\"cell\": \"0.088\", \"bbox\": [458, 101, 477, 110]}, {\"cell\": \"RoTat 1.2 PCR\", \"bbox\": [1, 115, 47, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 115, 88, 124]}, {\"cell\": \"25.0 ± 3.49\", \"bbox\": [107, 115, 143, 124]}, {\"cell\": \"23.7 ± 3.81\", \"bbox\": [215, 115, 250, 124]}, {\"cell\": \"−2.16\", \"bbox\": [307, 115, 326, 124]}, {\"cell\": \"−5.39\", \"bbox\": [422, 115, 442, 124]}, {\"cell\": \"<0.001*\", \"bbox\": [458, 115, 484, 124]}, {\"cell\": \"Cattle\", \"bbox\": [63, 129, 83, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 129, 143, 138]}, {\"cell\": \"26.3 ± 5.56\", \"bbox\": [215, 129, 250, 138]}, {\"cell\": \"0.53\", \"bbox\": [307, 129, 322, 138]}, {\"cell\": \"0.54\", \"bbox\": [422, 129, 437, 138]}, {\"cell\": \"0.591\", \"bbox\": [458, 129, 477, 138]}, {\"cell\": \"Equines\", \"bbox\": [63, 143, 90, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 143, 139, 152]}, {\"cell\": \"33.1 ± 7.1\", \"bbox\": [215, 143, 247, 152]}, {\"cell\": \"−0.98\", \"bbox\": [307, 143, 326, 152]}, {\"cell\": \"−0.05\", \"bbox\": [422, 143, 442, 152]}, {\"cell\": \"0.960\", \"bbox\": [458, 143, 477, 152]}, {\"cell\": \"Goats\", \"bbox\": [63, 157, 83, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 157, 143, 166]}, {\"cell\": \"23.3 ± 5.89\", \"bbox\": [215, 157, 250, 166]}, {\"cell\": \"−3.29\", \"bbox\": [307, 157, 326, 166]}, {\"cell\": \"−1.79\", \"bbox\": [422, 157, 442, 166]}, {\"cell\": \"0.074\", \"bbox\": [458, 157, 477, 166]}, {\"cell\": \"Sheep\", \"bbox\": [63, 171, 85, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 171, 143, 180]}, {\"cell\": \"25.5 ± 3.89\", \"bbox\": [215, 171, 250, 180]}, {\"cell\": \"0.74\", \"bbox\": [307, 171, 322, 180]}, {\"cell\": \"0.26\", \"bbox\": [422, 171, 437, 180]}, {\"cell\": \"0.796\", \"bbox\": [458, 171, 477, 180]}, {\"cell\": \"<i>Tv</i>PRAC\", \"bbox\": [1, 185, 26, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 185, 88, 194]}, {\"cell\": \"25.7 ± 3.57\", \"bbox\": [107, 185, 143, 194]}, {\"cell\": \"23.8 ± 3.77\", \"bbox\": [215, 185, 250, 194]}, {\"cell\": \"−1.89\", \"bbox\": [307, 185, 326, 194]}, {\"cell\": \"−2.65\", \"bbox\": [422, 185, 442, 194]}, {\"cell\": \"0.008*\", \"bbox\": [458, 185, 480, 194]}, {\"cell\": \"Cattle\", \"bbox\": [63, 199, 83, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 199, 143, 208]}, {\"cell\": \"23.1 ± 2.91\", \"bbox\": [215, 199, 250, 208]}, {\"cell\": \"−2.83\", \"bbox\": [307, 199, 326, 208]}, {\"cell\": \"−1.92\", \"bbox\": [422, 199, 442, 208]}, {\"cell\": \"0.056\", \"bbox\": [458, 199, 477, 208]}, {\"cell\": \"Equines\", \"bbox\": [63, 213, 90, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 213, 139, 222]}, {\"cell\": \"33.2 ± 5\", \"bbox\": [215, 213, 241, 222]}, {\"cell\": \"−0.003\", \"bbox\": [307, 213, 330, 222]}, {\"cell\": \"0.00\", \"bbox\": [422, 213, 437, 222]}, {\"cell\": \"0.999\", \"bbox\": [458, 213, 477, 222]}, {\"cell\": \"Goats\", \"bbox\": [63, 227, 83, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 227, 143, 236]}, {\"cell\": \"26.9 ± 6.30\", \"bbox\": [215, 227, 250, 236]}, {\"cell\": \"0.543\", \"bbox\": [307, 227, 325, 236]}, {\"cell\": \"0.26\", \"bbox\": [422, 227, 437, 236]}, {\"cell\": \"0.792\", \"bbox\": [458, 227, 477, 236]}, {\"cell\": \"Sheep\", \"bbox\": [63, 241, 85, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [107, 241, 143, 250]}, {\"cell\": \"23.8 ± 4.33\", \"bbox\": [215, 241, 250, 250]}, {\"cell\": \"−1.05\", \"bbox\": [307, 241, 326, 250]}, {\"cell\": \"−0.36\", \"bbox\": [422, 241, 442, 250]}, {\"cell\": \"0.716\", \"bbox\": [458, 241, 477, 250]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4403896_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}265{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Patient ID</b></td><td><b>Population 1 mean</b></td><td><b>Population 2 mean</b></td><td><b>Population 1 SD</b></td><td><b>Population 2 SD</b></td><td><b>Population 1 prevalence</b></td><td><b>Population 2 prevalence</b></td></tr></thead><tbody><tr><td>1</td><td>0.858</td><td>2.485</td><td>0.220</td><td>[EMPTY_CELL]</td><td>0.76</td><td>0.24</td></tr><tr><td>2</td><td>0.935</td><td>1.995</td><td>0.319</td><td>[EMPTY_CELL]</td><td>0.92</td><td>0.08</td></tr><tr><td>3</td><td>0.913</td><td>1.826</td><td>0.240</td><td>[EMPTY_CELL]</td><td>0.44</td><td>0.56</td></tr><tr><td>4</td><td>1.375</td><td>2.223</td><td>0.276</td><td>[EMPTY_CELL]</td><td>0.95</td><td>0.05</td></tr><tr><td>5</td><td>0.659</td><td>1.235</td><td>0.218</td><td>[EMPTY_CELL]</td><td>0.66</td><td>0.34</td></tr><tr><td>6</td><td>1.007</td><td>4.716</td><td>0.460</td><td>[EMPTY_CELL]</td><td>0.77</td><td>0.23</td></tr><tr><td>7</td><td>0.695</td><td>2.397</td><td>0.307</td><td>[EMPTY_CELL]</td><td>0.79</td><td>0.21</td></tr><tr><td>8</td><td>1.353</td><td>2.598</td><td>0.354</td><td>[EMPTY_CELL]</td><td>0.82</td><td>0.18</td></tr><tr><td>9</td><td>1.355</td><td>3.074</td><td>0.341</td><td>[EMPTY_CELL]</td><td>0.93</td><td>0.07</td></tr><tr><td>10</td><td>2.006</td><td>4.996</td><td>0.907</td><td>[EMPTY_CELL]</td><td>0.96</td><td>0.04</td></tr><tr><td>11</td><td>1.779</td><td>14.027</td><td>0.704</td><td>[EMPTY_CELL]</td><td>0.99</td><td>0.01</td></tr><tr><td>12</td><td>0.464</td><td>1.355</td><td>0.086</td><td>[EMPTY_CELL]</td><td>0.41</td><td>0.59</td></tr><tr><td>13</td><td>2.553</td><td>9.042</td><td>1.311</td><td>[EMPTY_CELL]</td><td>0.66</td><td>0.34</td></tr><tr><td>14</td><td>1.925</td><td>11.510</td><td>0.861</td><td>[EMPTY_CELL]</td><td>0.97</td><td>0.03</td></tr><tr><td>15</td><td>1.159</td><td>3.709</td><td>0.326</td><td>[EMPTY_CELL]</td><td>0.73</td><td>0.27</td></tr><tr><td>16</td><td>1.190</td><td>13.386</td><td>0.488</td><td>[EMPTY_CELL]</td><td>0.79</td><td>0.21</td></tr><tr><td>17</td><td>1.235</td><td>2.397</td><td>0.361</td><td>[EMPTY_CELL]</td><td>0.81</td><td>0.19</td></tr><tr><td>18</td><td>1.405</td><td>4.867</td><td>0.535</td><td>[EMPTY_CELL]</td><td>0.83</td><td>0.17</td></tr><tr><td>19</td><td>0.539</td><td>1.701</td><td>0.113</td><td>[EMPTY_CELL]</td><td>0.36</td><td>0.64</td></tr><tr><td>20</td><td>3.888</td><td>14.199</td><td>2.742</td><td>[EMPTY_CELL]</td><td>0.86</td><td>0.14</td></tr><tr><td>21</td><td>0.849</td><td>3.332</td><td>0.389</td><td>[EMPTY_CELL]</td><td>0.90</td><td>0.10</td></tr><tr><td>22</td><td>0.974</td><td>7.368</td><td>0.415</td><td>[EMPTY_CELL]</td><td>0.91</td><td>0.089</td></tr><tr><td>23</td><td>0.989</td><td>5.498</td><td>0.318</td><td>[EMPTY_CELL]</td><td>0.73</td><td>0.27</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Patient ID</b>\", \"bbox\": [0, 6, 35, 15]}, {\"cell\": \"<b>Population 1 mean</b>\", \"bbox\": [47, 6, 111, 15]}, {\"cell\": \"<b>Population 2 mean</b>\", \"bbox\": [122, 6, 186, 15]}, {\"cell\": \"<b>Population 1 SD</b>\", \"bbox\": [198, 6, 253, 15]}, {\"cell\": \"<b>Population 2 SD</b>\", \"bbox\": [264, 6, 320, 15]}, {\"cell\": \"<b>Population 1 prevalence</b>\", \"bbox\": [331, 6, 413, 15]}, {\"cell\": \"<b>Population 2 prevalence</b>\", \"bbox\": [425, 6, 507, 15]}, {\"cell\": \"1\", \"bbox\": [6, 24, 11, 31]}, {\"cell\": \"0.858\", \"bbox\": [69, 24, 88, 31]}, {\"cell\": \"2.485\", \"bbox\": [147, 24, 167, 31]}, {\"cell\": \"0.220\", \"bbox\": [216, 24, 235, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 24, 304, 31]}, {\"cell\": \"0.76\", \"bbox\": [365, 24, 380, 31]}, {\"cell\": \"0.24\", \"bbox\": [457, 24, 473, 31]}, {\"cell\": \"2\", \"bbox\": [6, 33, 11, 40]}, {\"cell\": \"0.935\", \"bbox\": [69, 33, 88, 40]}, {\"cell\": \"1.995\", \"bbox\": [147, 33, 167, 40]}, {\"cell\": \"0.319\", \"bbox\": [216, 33, 235, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 33, 304, 40]}, {\"cell\": \"0.92\", \"bbox\": [365, 33, 380, 40]}, {\"cell\": \"0.08\", \"bbox\": [457, 33, 473, 40]}, {\"cell\": \"3\", \"bbox\": [6, 43, 12, 50]}, {\"cell\": \"0.913\", \"bbox\": [69, 43, 88, 50]}, {\"cell\": \"1.826\", \"bbox\": [147, 43, 167, 50]}, {\"cell\": \"0.240\", \"bbox\": [216, 43, 235, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 43, 304, 50]}, {\"cell\": \"0.44\", \"bbox\": [365, 43, 380, 50]}, {\"cell\": \"0.56\", \"bbox\": [457, 43, 473, 50]}, {\"cell\": \"4\", \"bbox\": [6, 52, 12, 59]}, {\"cell\": \"1.375\", \"bbox\": [69, 52, 89, 59]}, {\"cell\": \"2.223\", \"bbox\": [147, 52, 167, 59]}, {\"cell\": \"0.276\", \"bbox\": [216, 52, 235, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 52, 304, 59]}, {\"cell\": \"0.95\", \"bbox\": [365, 52, 380, 59]}, {\"cell\": \"0.05\", \"bbox\": [457, 52, 473, 59]}, {\"cell\": \"5\", \"bbox\": [6, 62, 12, 69]}, {\"cell\": \"0.659\", \"bbox\": [69, 62, 89, 69]}, {\"cell\": \"1.235\", \"bbox\": [147, 62, 167, 69]}, {\"cell\": \"0.218\", \"bbox\": [216, 62, 235, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 62, 304, 69]}, {\"cell\": \"0.66\", \"bbox\": [365, 62, 380, 69]}, {\"cell\": \"0.34\", \"bbox\": [457, 62, 473, 69]}, {\"cell\": \"6\", \"bbox\": [6, 71, 12, 78]}, {\"cell\": \"1.007\", \"bbox\": [69, 71, 89, 78]}, {\"cell\": \"4.716\", \"bbox\": [147, 71, 167, 78]}, {\"cell\": \"0.460\", \"bbox\": [216, 71, 235, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 71, 304, 78]}, {\"cell\": \"0.77\", \"bbox\": [365, 71, 380, 78]}, {\"cell\": \"0.23\", \"bbox\": [457, 71, 473, 78]}, {\"cell\": \"7\", \"bbox\": [6, 81, 12, 88]}, {\"cell\": \"0.695\", \"bbox\": [69, 81, 89, 88]}, {\"cell\": \"2.397\", \"bbox\": [147, 81, 167, 88]}, {\"cell\": \"0.307\", \"bbox\": [216, 81, 235, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 81, 304, 88]}, {\"cell\": \"0.79\", \"bbox\": [365, 81, 380, 88]}, {\"cell\": \"0.21\", \"bbox\": [457, 81, 473, 88]}, {\"cell\": \"8\", \"bbox\": [6, 90, 12, 97]}, {\"cell\": \"1.353\", \"bbox\": [69, 90, 89, 97]}, {\"cell\": \"2.598\", \"bbox\": [147, 90, 167, 97]}, {\"cell\": \"0.354\", \"bbox\": [216, 90, 235, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 90, 304, 97]}, {\"cell\": \"0.82\", \"bbox\": [365, 90, 380, 97]}, {\"cell\": \"0.18\", \"bbox\": [457, 90, 473, 97]}, {\"cell\": \"9\", \"bbox\": [6, 100, 12, 107]}, {\"cell\": \"1.355\", \"bbox\": [69, 100, 89, 107]}, {\"cell\": \"3.074\", \"bbox\": [147, 100, 167, 107]}, {\"cell\": \"0.341\", \"bbox\": [216, 100, 235, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 100, 304, 107]}, {\"cell\": \"0.93\", \"bbox\": [365, 100, 380, 107]}, {\"cell\": \"0.07\", \"bbox\": [457, 100, 473, 107]}, {\"cell\": \"10\", \"bbox\": [2, 109, 12, 116]}, {\"cell\": \"2.006\", \"bbox\": [69, 109, 89, 116]}, {\"cell\": \"4.996\", \"bbox\": [147, 109, 167, 116]}, {\"cell\": \"0.907\", \"bbox\": [216, 109, 235, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 109, 304, 116]}, {\"cell\": \"0.96\", \"bbox\": [365, 109, 380, 116]}, {\"cell\": \"0.04\", \"bbox\": [457, 109, 473, 116]}, {\"cell\": \"11\", \"bbox\": [2, 119, 12, 126]}, {\"cell\": \"1.779\", \"bbox\": [69, 119, 89, 126]}, {\"cell\": \"14.027\", \"bbox\": [143, 119, 167, 126]}, {\"cell\": \"0.704\", \"bbox\": [216, 119, 235, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 119, 304, 126]}, {\"cell\": \"0.99\", \"bbox\": [365, 119, 380, 126]}, {\"cell\": \"0.01\", \"bbox\": [457, 119, 473, 126]}, {\"cell\": \"12\", \"bbox\": [2, 128, 12, 135]}, {\"cell\": \"0.464\", \"bbox\": [69, 128, 89, 135]}, {\"cell\": \"1.355\", \"bbox\": [147, 128, 167, 135]}, {\"cell\": \"0.086\", \"bbox\": [216, 128, 235, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 128, 304, 135]}, {\"cell\": \"0.41\", \"bbox\": [365, 128, 380, 135]}, {\"cell\": \"0.59\", \"bbox\": [457, 128, 473, 135]}, {\"cell\": \"13\", \"bbox\": [2, 138, 12, 145]}, {\"cell\": \"2.553\", \"bbox\": [69, 138, 89, 145]}, {\"cell\": \"9.042\", \"bbox\": [147, 138, 167, 145]}, {\"cell\": \"1.311\", \"bbox\": [216, 138, 235, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 138, 304, 145]}, {\"cell\": \"0.66\", \"bbox\": [365, 138, 380, 145]}, {\"cell\": \"0.34\", \"bbox\": [457, 138, 473, 145]}, {\"cell\": \"14\", \"bbox\": [2, 147, 12, 154]}, {\"cell\": \"1.925\", \"bbox\": [69, 147, 89, 154]}, {\"cell\": \"11.510\", \"bbox\": [143, 147, 167, 154]}, {\"cell\": \"0.861\", \"bbox\": [216, 147, 235, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 147, 304, 154]}, {\"cell\": \"0.97\", \"bbox\": [365, 147, 380, 154]}, {\"cell\": \"0.03\", \"bbox\": [457, 147, 473, 154]}, {\"cell\": \"15\", \"bbox\": [2, 157, 12, 164]}, {\"cell\": \"1.159\", \"bbox\": [69, 157, 89, 164]}, {\"cell\": \"3.709\", \"bbox\": [147, 157, 167, 164]}, {\"cell\": \"0.326\", \"bbox\": [216, 157, 235, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 157, 304, 164]}, {\"cell\": \"0.73\", \"bbox\": [365, 157, 380, 164]}, {\"cell\": \"0.27\", \"bbox\": [457, 157, 473, 164]}, {\"cell\": \"16\", \"bbox\": [2, 166, 12, 173]}, {\"cell\": \"1.190\", \"bbox\": [69, 166, 89, 173]}, {\"cell\": \"13.386\", \"bbox\": [143, 166, 167, 173]}, {\"cell\": \"0.488\", \"bbox\": [216, 166, 235, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 166, 304, 173]}, {\"cell\": \"0.79\", \"bbox\": [365, 166, 380, 173]}, {\"cell\": \"0.21\", \"bbox\": [457, 166, 473, 173]}, {\"cell\": \"17\", \"bbox\": [2, 176, 12, 183]}, {\"cell\": \"1.235\", \"bbox\": [69, 176, 89, 183]}, {\"cell\": \"2.397\", \"bbox\": [147, 176, 167, 183]}, {\"cell\": \"0.361\", \"bbox\": [216, 176, 235, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 176, 304, 183]}, {\"cell\": \"0.81\", \"bbox\": [365, 176, 380, 183]}, {\"cell\": \"0.19\", \"bbox\": [457, 176, 473, 183]}, {\"cell\": \"18\", \"bbox\": [2, 185, 12, 192]}, {\"cell\": \"1.405\", \"bbox\": [69, 185, 89, 192]}, {\"cell\": \"4.867\", \"bbox\": [147, 185, 167, 192]}, {\"cell\": \"0.535\", \"bbox\": [216, 185, 235, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 185, 304, 192]}, {\"cell\": \"0.83\", \"bbox\": [365, 185, 380, 192]}, {\"cell\": \"0.17\", \"bbox\": [457, 185, 473, 192]}, {\"cell\": \"19\", \"bbox\": [2, 195, 12, 202]}, {\"cell\": \"0.539\", \"bbox\": [69, 195, 89, 202]}, {\"cell\": \"1.701\", \"bbox\": [147, 195, 167, 202]}, {\"cell\": \"0.113\", \"bbox\": [216, 195, 235, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 195, 304, 202]}, {\"cell\": \"0.36\", \"bbox\": [365, 195, 380, 202]}, {\"cell\": \"0.64\", \"bbox\": [457, 195, 473, 202]}, {\"cell\": \"20\", \"bbox\": [2, 204, 12, 211]}, {\"cell\": \"3.888\", \"bbox\": [69, 204, 89, 211]}, {\"cell\": \"14.199\", \"bbox\": [144, 204, 167, 211]}, {\"cell\": \"2.742\", \"bbox\": [216, 204, 235, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 204, 304, 211]}, {\"cell\": \"0.86\", \"bbox\": [365, 204, 380, 211]}, {\"cell\": \"0.14\", \"bbox\": [457, 204, 473, 211]}, {\"cell\": \"21\", \"bbox\": [2, 214, 12, 221]}, {\"cell\": \"0.849\", \"bbox\": [69, 214, 89, 221]}, {\"cell\": \"3.332\", \"bbox\": [147, 214, 167, 221]}, {\"cell\": \"0.389\", \"bbox\": [216, 214, 235, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 214, 304, 221]}, {\"cell\": \"0.90\", \"bbox\": [365, 214, 380, 221]}, {\"cell\": \"0.10\", \"bbox\": [457, 214, 473, 221]}, {\"cell\": \"22\", \"bbox\": [2, 223, 12, 230]}, {\"cell\": \"0.974\", \"bbox\": [69, 223, 89, 230]}, {\"cell\": \"7.368\", \"bbox\": [147, 223, 167, 230]}, {\"cell\": \"0.415\", \"bbox\": [216, 223, 235, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 223, 304, 230]}, {\"cell\": \"0.91\", \"bbox\": [365, 223, 380, 230]}, {\"cell\": \"0.089\", \"bbox\": [457, 223, 477, 230]}, {\"cell\": \"23\", \"bbox\": [2, 233, 12, 240]}, {\"cell\": \"0.989\", \"bbox\": [69, 233, 89, 240]}, {\"cell\": \"5.498\", \"bbox\": [147, 233, 167, 240]}, {\"cell\": \"0.318\", \"bbox\": [216, 233, 235, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 233, 304, 240]}, {\"cell\": \"0.73\", \"bbox\": [365, 233, 380, 240]}, {\"cell\": \"0.27\", \"bbox\": [457, 233, 473, 240]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5827541_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}266{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Reference</b></td><td><b>Plant material</b></td><td><b>Number of accessions</b></td></tr></thead><tbody><tr><td>Worland et al. [4]</td><td>World-wide cultivars</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Chebotar et al. [5]</td><td>Ukrainian cultivars and breeding lines</td><td>[EMPTY_CELL]</td></tr><tr><td>US and European cultivars and breeding lines</td><td>20</td></tr><tr><td>Worland et al. [6]</td><td>World-wide cultivars</td><td>[EMPTY_CELL]</td></tr><tr><td>Ahmad and Sorrells [7]</td><td>Mainly US and NZ cultivars</td><td>[EMPTY_CELL]</td></tr><tr><td>Manifesto and Suárez [8]</td><td>Argentinian cultivars</td><td>[EMPTY_CELL]</td></tr><tr><td>Schmidt et al. [9]</td><td>Australian cultivars</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Liu et al. [10]</td><td>Chinese cultivars and breeding lines</td><td>[EMPTY_CELL]</td></tr><tr><td>CIMMYT, US and European cultivars and breeding lines</td><td> 98</td></tr><tr><td>Ganeva et al. [11]</td><td>Bulgarian cultivars</td><td>[EMPTY_CELL]</td></tr><tr><td>Zhang et al. [12]</td><td>Chinese landraces, cultivars, and breeding lines</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Reference</b>\", \"bbox\": [2, 9, 39, 19]}, {\"cell\": \"<b>Plant material</b>\", \"bbox\": [101, 9, 154, 19]}, {\"cell\": \"<b>Number of accessions</b>\", \"bbox\": [200, 4, 241, 25]}, {\"cell\": \"Worland et al. [4]\", \"bbox\": [2, 28, 68, 38]}, {\"cell\": \"World-wide cultivars\", \"bbox\": [101, 28, 178, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 28, 228, 38]}, {\"cell\": \"Chebotar et al. [5]\", \"bbox\": [2, 61, 70, 72]}, {\"cell\": \"Ukrainian cultivars and breeding lines\", \"bbox\": [101, 40, 188, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 46, 226, 56]}, {\"cell\": \"US and European cultivars and breeding lines\", \"bbox\": [101, 63, 183, 95]}, {\"cell\": \"20\", \"bbox\": [215, 74, 226, 84]}, {\"cell\": \"Worland et al. [6]\", \"bbox\": [2, 98, 68, 108]}, {\"cell\": \"World-wide cultivars\", \"bbox\": [101, 98, 178, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 98, 228, 108]}, {\"cell\": \"Ahmad and Sorrells [7]\", \"bbox\": [2, 116, 89, 126]}, {\"cell\": \"Mainly US and NZ cultivars\", \"bbox\": [101, 110, 171, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 116, 226, 126]}, {\"cell\": \"Manifesto and Suárez [8]\", \"bbox\": [2, 134, 95, 145]}, {\"cell\": \"Argentinian cultivars\", \"bbox\": [101, 134, 179, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 134, 228, 145]}, {\"cell\": \"Schmidt et al. [9]\", \"bbox\": [2, 148, 67, 158]}, {\"cell\": \"Australian cultivars\", \"bbox\": [101, 148, 173, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 148, 226, 158]}, {\"cell\": \"Liu et al. [10]\", \"bbox\": [2, 182, 53, 192]}, {\"cell\": \"Chinese cultivars and breeding lines\", \"bbox\": [101, 161, 180, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 166, 228, 176]}, {\"cell\": \"CIMMYT, US and European cultivars and breeding lines\", \"bbox\": [101, 184, 186, 215]}, {\"cell\": \" 98\", \"bbox\": [215, 194, 226, 205]}, {\"cell\": \"Ganeva et al. [11]\", \"bbox\": [2, 218, 68, 228]}, {\"cell\": \"Bulgarian cultivars\", \"bbox\": [101, 218, 171, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 218, 226, 228]}, {\"cell\": \"Zhang et al. [12]\", \"bbox\": [2, 241, 64, 252]}, {\"cell\": \"Chinese landraces, cultivars, and breeding lines\", \"bbox\": [101, 231, 185, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 241, 228, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3361164_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}267{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>Sense</b></td><td><b>Antisense</b></td><td><b>Amplicon length (base pair)</b></td><td><b>GenBank accession number</b></td></tr></thead><tbody><tr><td>Aggrecan</td><td>[EMPTY_CELL]</td><td>5'-AAA GTG TCC AAG GCA TCC AC-3'</td><td>124</td><td>NM_022190</td></tr><tr><td><i>Ank</i></td><td>[EMPTY_CELL]</td><td>5'-AAG GCA GCG AGA TAC AGG AA-3'</td><td>173</td><td>NM_053714</td></tr><tr><td><i>L27</i></td><td>[EMPTY_CELL]</td><td>5'-CCA CAG AGT ACC TTG TGG GC-3'</td><td>227</td><td>NM_022514</td></tr><tr><td><i>PC-1</i></td><td>[EMPTY_CELL]</td><td>5'-GCA GCT GGT AAG CAC AAT GA-3'</td><td>165</td><td>NM_053535</td></tr><tr><td><i>S29</i></td><td>[EMPTY_CELL]</td><td>5'-AGA CGC GGC AAG AGC GAG AA-3'</td><td>67</td><td>NM_012876</td></tr><tr><td><i>TNAP</i></td><td>[EMPTY_CELL]</td><td>5'-CAG ATG GGT GGG AAG AGG T-3'</td><td>50</td><td>NM_013059</td></tr><tr><td>Type IA2 collagen</td><td>[EMPTY_CELL]</td><td>5'-CAC CCC TTC TGC GTT GTA TT-3'</td><td>197</td><td>NM_053356</td></tr><tr><td>Type II collagen</td><td>[EMPTY_CELL]</td><td>5'-CTC TGT CTC CAG ATG CAC CA-3'</td><td>161</td><td>NM_012929</td></tr><tr><td>Type X collagen</td><td>[EMPTY_CELL]</td><td>5'-TGG GTC ACC CTT AGA TCC AG-3'</td><td>241</td><td>AJ131848</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [4, 9, 25, 19]}, {\"cell\": \"<b>Sense</b>\", \"bbox\": [47, 9, 71, 19]}, {\"cell\": \"<b>Antisense</b>\", \"bbox\": [241, 9, 277, 19]}, {\"cell\": \"<b>Amplicon length (base pair)</b>\", \"bbox\": [403, 9, 441, 35]}, {\"cell\": \"<b>GenBank accession number</b>\", \"bbox\": [455, 9, 491, 35]}, {\"cell\": \"Aggrecan\", \"bbox\": [4, 41, 40, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 41, 188, 51]}, {\"cell\": \"5'-AAA GTG TCC AAG GCA TCC AC-3'\", \"bbox\": [241, 41, 385, 51]}, {\"cell\": \"124\", \"bbox\": [414, 41, 430, 51]}, {\"cell\": \"NM_022190\", \"bbox\": [450, 41, 496, 51]}, {\"cell\": \"<i>Ank</i>\", \"bbox\": [4, 57, 20, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 57, 195, 67]}, {\"cell\": \"5'-AAG GCA GCG AGA TAC AGG AA-3'\", \"bbox\": [241, 57, 388, 67]}, {\"cell\": \"173\", \"bbox\": [414, 57, 430, 67]}, {\"cell\": \"NM_053714\", \"bbox\": [450, 57, 496, 67]}, {\"cell\": \"<i>L27</i>\", \"bbox\": [4, 72, 20, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 72, 186, 82]}, {\"cell\": \"5'-CCA CAG AGT ACC TTG TGG GC-3'\", \"bbox\": [241, 72, 386, 82]}, {\"cell\": \"227\", \"bbox\": [414, 72, 430, 82]}, {\"cell\": \"NM_022514\", \"bbox\": [450, 72, 496, 82]}, {\"cell\": \"<i>PC-1</i>\", \"bbox\": [4, 88, 25, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 88, 191, 98]}, {\"cell\": \"5'-GCA GCT GGT AAG CAC AAT GA-3'\", \"bbox\": [241, 88, 385, 98]}, {\"cell\": \"165\", \"bbox\": [414, 88, 430, 98]}, {\"cell\": \"NM_053535\", \"bbox\": [450, 88, 496, 98]}, {\"cell\": \"<i>S29</i>\", \"bbox\": [4, 103, 21, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 103, 229, 113]}, {\"cell\": \"5'-AGA CGC GGC AAG AGC GAG AA-3'\", \"bbox\": [241, 103, 391, 113]}, {\"cell\": \"67\", \"bbox\": [417, 103, 428, 113]}, {\"cell\": \"NM_012876\", \"bbox\": [450, 103, 496, 113]}, {\"cell\": \"<i>TNAP</i>\", \"bbox\": [4, 119, 27, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 119, 189, 129]}, {\"cell\": \"5'-CAG ATG GGT GGG AAG AGG T-3'\", \"bbox\": [241, 119, 383, 129]}, {\"cell\": \"50\", \"bbox\": [416, 119, 428, 129]}, {\"cell\": \"NM_013059\", \"bbox\": [450, 119, 496, 129]}, {\"cell\": \"Type IA2 collagen\", \"bbox\": [4, 134, 37, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 134, 190, 144]}, {\"cell\": \"5'-CAC CCC TTC TGC GTT GTA TT-3'\", \"bbox\": [241, 134, 380, 144]}, {\"cell\": \"197\", \"bbox\": [414, 134, 430, 144]}, {\"cell\": \"NM_053356\", \"bbox\": [450, 134, 496, 144]}, {\"cell\": \"Type II collagen\", \"bbox\": [4, 158, 35, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 158, 188, 168]}, {\"cell\": \"5'-CTC TGT CTC CAG ATG CAC CA-3'\", \"bbox\": [241, 158, 383, 168]}, {\"cell\": \"161\", \"bbox\": [414, 158, 430, 168]}, {\"cell\": \"NM_012929\", \"bbox\": [450, 158, 496, 168]}, {\"cell\": \"Type X collagen\", \"bbox\": [4, 181, 35, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 181, 191, 191]}, {\"cell\": \"5'-TGG GTC ACC CTT AGA TCC AG-3'\", \"bbox\": [241, 181, 384, 191]}, {\"cell\": \"241\", \"bbox\": [414, 181, 430, 191]}, {\"cell\": \"AJ131848\", \"bbox\": [454, 181, 492, 191]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2246241_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}268{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Surgery (<i>n</i> = 42)</b></td><td><b>MitraClip (<i>n</i> = 42)</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>214.1 ± 57.2, (42)</td><td>186.4 ± 73.7, (41)</td><td>0.059<sup>~</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>8 (19.0)</td><td>1 (2.4)</td><td>0.029<sup>*</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>3.71 ± 4.00, (41)</td><td>(0)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>18.0 ± 7.60, (41)</td><td>8.81 ± 6.40, (42)</td><td><0.001<sup>~</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>42 (100)</td><td>40 (95.2)</td><td>0.494<sup>*</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>3 (7.1)</td><td>1 (2.4)</td><td>0.616<sup>*</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>3 (7.1)</td><td>2 (4.8)</td><td>1.000<sup>*</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>2 (4.8)</td><td>3 (7.1)</td><td>1.000<sup>*</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>1 (2.4)</td><td>0 (0.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10 (23.8)</td><td>2 (4.8)</td><td>0.026<sup>*</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>4 (9.8)</td><td>1 (2.4)</td><td>0.202<sup>*</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>12 (28.6)</td><td>3 (7.1)</td><td>0.020<sup>*</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>1 (2.4)</td><td>0 (0.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9 (21.4)</td><td>0 (0.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (9.5)</td><td>0 (0.0)</td><td>0.116<sup>*</sup></td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>34 (82.9)</td><td>6 (14.3)</td><td><0.001<sup>**</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>7 (17.1)</td><td>26 (61.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0.0)</td><td>9 (21.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0.0)</td><td>1 (2.4)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Surgery (<i>n</i> = 42)</b>\", \"bbox\": [94, 4, 120, 22]}, {\"cell\": \"<b>MitraClip (<i>n</i> = 42)</b>\", \"bbox\": [151, 4, 181, 22]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [208, 4, 234, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 72, 45]}, {\"cell\": \"214.1 ± 57.2, (42)\", \"bbox\": [94, 26, 147, 36]}, {\"cell\": \"186.4 ± 73.7, (41)\", \"bbox\": [151, 26, 204, 36]}, {\"cell\": \"0.059<sup>~</sup>\", \"bbox\": [208, 24, 231, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 75, 68]}, {\"cell\": \"8 (19.0)\", \"bbox\": [94, 49, 119, 59]}, {\"cell\": \"1 (2.4)\", \"bbox\": [151, 49, 172, 59]}, {\"cell\": \"0.029<sup>*</sup>\", \"bbox\": [208, 47, 229, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 75, 91]}, {\"cell\": \"3.71 ± 4.00, (41)\", \"bbox\": [94, 72, 145, 82]}, {\"cell\": \"(0)\", \"bbox\": [151, 72, 161, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 71, 114]}, {\"cell\": \"18.0 ± 7.60, (41)\", \"bbox\": [94, 95, 145, 105]}, {\"cell\": \"8.81 ± 6.40, (42)\", \"bbox\": [151, 95, 202, 105]}, {\"cell\": \"<0.001<sup>~</sup>\", \"bbox\": [208, 93, 235, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 118, 83, 128]}, {\"cell\": \"42 (100)\", \"bbox\": [94, 118, 121, 128]}, {\"cell\": \"40 (95.2)\", \"bbox\": [151, 118, 180, 128]}, {\"cell\": \"0.494<sup>*</sup>\", \"bbox\": [208, 116, 229, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 132, 77, 142]}, {\"cell\": \"3 (7.1)\", \"bbox\": [94, 132, 115, 142]}, {\"cell\": \"1 (2.4)\", \"bbox\": [151, 132, 172, 142]}, {\"cell\": \"0.616<sup>*</sup>\", \"bbox\": [208, 130, 229, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 75, 156]}, {\"cell\": \"3 (7.1)\", \"bbox\": [94, 146, 115, 156]}, {\"cell\": \"2 (4.8)\", \"bbox\": [151, 146, 172, 156]}, {\"cell\": \"1.000<sup>*</sup>\", \"bbox\": [208, 144, 229, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 160, 71, 170]}, {\"cell\": \"2 (4.8)\", \"bbox\": [94, 160, 115, 170]}, {\"cell\": \"3 (7.1)\", \"bbox\": [151, 160, 172, 170]}, {\"cell\": \"1.000<sup>*</sup>\", \"bbox\": [208, 158, 229, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 174, 65, 184]}, {\"cell\": \"1 (2.4)\", \"bbox\": [94, 174, 115, 184]}, {\"cell\": \"0 (0.0)\", \"bbox\": [151, 174, 172, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 188, 85, 198]}, {\"cell\": \"10 (23.8)\", \"bbox\": [94, 188, 123, 198]}, {\"cell\": \"2 (4.8)\", \"bbox\": [151, 188, 172, 198]}, {\"cell\": \"0.026<sup>*</sup>\", \"bbox\": [208, 186, 229, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 202, 88, 212]}, {\"cell\": \"4 (9.8)\", \"bbox\": [94, 202, 115, 212]}, {\"cell\": \"1 (2.4)\", \"bbox\": [151, 202, 172, 212]}, {\"cell\": \"0.202<sup>*</sup>\", \"bbox\": [208, 200, 229, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 216, 59, 226]}, {\"cell\": \"12 (28.6)\", \"bbox\": [94, 216, 123, 226]}, {\"cell\": \"3 (7.1)\", \"bbox\": [151, 216, 172, 226]}, {\"cell\": \"0.020<sup>*</sup>\", \"bbox\": [208, 214, 229, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 230, 90, 240]}, {\"cell\": \"1 (2.4)\", \"bbox\": [94, 230, 115, 240]}, {\"cell\": \"0 (0.0)\", \"bbox\": [151, 230, 172, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 244, 75, 263]}, {\"cell\": \"9 (21.4)\", \"bbox\": [94, 244, 119, 254]}, {\"cell\": \"0 (0.0)\", \"bbox\": [151, 244, 172, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 267, 43, 277]}, {\"cell\": \"4 (9.5)\", \"bbox\": [94, 267, 115, 277]}, {\"cell\": \"0 (0.0)\", \"bbox\": [151, 267, 172, 277]}, {\"cell\": \"0.116<sup>*</sup>\", \"bbox\": [208, 265, 229, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 281, 81, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 304, 27, 314]}, {\"cell\": \"34 (82.9)\", \"bbox\": [94, 304, 123, 314]}, {\"cell\": \"6 (14.3)\", \"bbox\": [151, 304, 176, 314]}, {\"cell\": \"<0.001<sup>**</sup>\", \"bbox\": [208, 302, 236, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 318, 25, 328]}, {\"cell\": \"7 (17.1)\", \"bbox\": [94, 318, 119, 328]}, {\"cell\": \"26 (61.9)\", \"bbox\": [151, 318, 180, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 332, 26, 342]}, {\"cell\": \"0 (0.0)\", \"bbox\": [94, 332, 115, 342]}, {\"cell\": \"9 (21.4)\", \"bbox\": [151, 332, 176, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 346, 28, 356]}, {\"cell\": \"0 (0.0)\", \"bbox\": [94, 346, 115, 356]}, {\"cell\": \"1 (2.4)\", \"bbox\": [151, 346, 172, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5360063_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}269{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Immunohistochemical stains</b></td><td><b>Clone</b></td><td><b>Sources</b></td><td><b>Dilution</b></td><td><b>Results</b></td></tr></thead><tbody><tr><td>Pan cytokeratin</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:100</td><td>Neg.</td></tr><tr><td>Keratin 8/18</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:200</td><td>Neg.</td></tr><tr><td>Keratin 19</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:200</td><td>Neg.</td></tr><tr><td>Renal Cell Carcinoma Marker(gp200)</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:100</td><td>Neg.</td></tr><tr><td>Neuron-specific enolase (NSE)</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:1500</td><td>Pos.</td></tr><tr><td>Epithelial membrane antigen (EMA)</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:500</td><td>Pos. (focal)</td></tr><tr><td>CD10</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:50</td><td>Pos. (focal)</td></tr><tr><td>Ki-67</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:500</td><td>Pos. (1%)</td></tr><tr><td>Vimentin</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:300</td><td>Pos.</td></tr><tr><td>S100 protein</td><td>[EMPTY_CELL]</td><td>Dako</td><td>1:6000</td><td>Pos.</td></tr><tr><td>a-inhibin</td><td>[EMPTY_CELL]</td><td>Dako</td><td>1:1250</td><td>Pos.</td></tr><tr><td>Epidermal growth factor receptor (EGFR)</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:100</td><td>Pos.</td></tr><tr><td>calretinin</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:100</td><td>Neg.</td></tr><tr><td>Melanoma Marker</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:50</td><td>Neg.</td></tr><tr><td>Melan-A</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:100</td><td>Neg.</td></tr><tr><td>Chromogranin A</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:200</td><td>Neg.</td></tr><tr><td>Desmin</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:200</td><td>Neg.</td></tr><tr><td>Actin</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:100</td><td>Neg.</td></tr><tr><td>Myoglobin</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:800</td><td>Neg.</td></tr><tr><td>CD68</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:100</td><td>Neg.</td></tr><tr><td>CD34</td><td>[EMPTY_CELL]</td><td>Neomarkers</td><td>1:80</td><td>Neg.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Immunohistochemical stains</b>\", \"bbox\": [1, 4, 101, 12]}, {\"cell\": \"<b>Clone</b>\", \"bbox\": [165, 4, 187, 12]}, {\"cell\": \"<b>Sources</b>\", \"bbox\": [286, 4, 315, 12]}, {\"cell\": \"<b>Dilution</b>\", \"bbox\": [358, 4, 388, 12]}, {\"cell\": \"<b>Results</b>\", \"bbox\": [420, 4, 446, 12]}, {\"cell\": \"Pan cytokeratin\", \"bbox\": [1, 17, 52, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 17, 194, 27]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 17, 326, 27]}, {\"cell\": \"1:100\", \"bbox\": [358, 17, 377, 27]}, {\"cell\": \"Neg.\", \"bbox\": [420, 17, 437, 27]}, {\"cell\": \"Keratin 8/18\", \"bbox\": [1, 29, 41, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 29, 180, 39]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 29, 326, 39]}, {\"cell\": \"1:200\", \"bbox\": [358, 29, 377, 39]}, {\"cell\": \"Neg.\", \"bbox\": [420, 29, 437, 39]}, {\"cell\": \"Keratin 19\", \"bbox\": [1, 41, 35, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 41, 191, 51]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 41, 326, 51]}, {\"cell\": \"1:200\", \"bbox\": [358, 41, 377, 51]}, {\"cell\": \"Neg.\", \"bbox\": [420, 41, 437, 51]}, {\"cell\": \"Renal Cell Carcinoma Marker(gp200)\", \"bbox\": [1, 53, 119, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 53, 186, 63]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 53, 326, 63]}, {\"cell\": \"1:100\", \"bbox\": [358, 53, 377, 63]}, {\"cell\": \"Neg.\", \"bbox\": [420, 53, 437, 63]}, {\"cell\": \"Neuron-specific enolase (NSE)\", \"bbox\": [1, 65, 98, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 65, 190, 75]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 65, 326, 75]}, {\"cell\": \"1:1500\", \"bbox\": [358, 65, 381, 75]}, {\"cell\": \"Pos.\", \"bbox\": [420, 65, 434, 75]}, {\"cell\": \"Epithelial membrane antigen (EMA)\", \"bbox\": [1, 77, 117, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 77, 179, 86]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 77, 326, 86]}, {\"cell\": \"1:500\", \"bbox\": [358, 77, 377, 86]}, {\"cell\": \"Pos. (focal)\", \"bbox\": [420, 77, 456, 86]}, {\"cell\": \"CD10\", \"bbox\": [1, 89, 20, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 89, 186, 98]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 89, 326, 98]}, {\"cell\": \"1:50\", \"bbox\": [358, 89, 373, 98]}, {\"cell\": \"Pos. (focal)\", \"bbox\": [420, 89, 456, 98]}, {\"cell\": \"Ki-67\", \"bbox\": [1, 101, 18, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 101, 179, 110]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 101, 326, 110]}, {\"cell\": \"1:500\", \"bbox\": [358, 101, 377, 110]}, {\"cell\": \"Pos. (1%)\", \"bbox\": [420, 101, 451, 110]}, {\"cell\": \"Vimentin\", \"bbox\": [1, 113, 31, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 113, 183, 122]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 113, 326, 122]}, {\"cell\": \"1:300\", \"bbox\": [358, 113, 377, 122]}, {\"cell\": \"Pos.\", \"bbox\": [420, 113, 434, 122]}, {\"cell\": \"S100 protein\", \"bbox\": [1, 125, 43, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 125, 234, 134]}, {\"cell\": \"Dako\", \"bbox\": [286, 125, 305, 134]}, {\"cell\": \"1:6000\", \"bbox\": [358, 125, 381, 134]}, {\"cell\": \"Pos.\", \"bbox\": [420, 125, 435, 134]}, {\"cell\": \"a-inhibin\", \"bbox\": [1, 137, 30, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 137, 175, 146]}, {\"cell\": \"Dako\", \"bbox\": [286, 137, 305, 146]}, {\"cell\": \"1:1250\", \"bbox\": [358, 137, 381, 146]}, {\"cell\": \"Pos.\", \"bbox\": [420, 137, 435, 146]}, {\"cell\": \"Epidermal growth factor receptor (EGFR)\", \"bbox\": [1, 149, 133, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 149, 187, 158]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 149, 326, 158]}, {\"cell\": \"1:100\", \"bbox\": [358, 149, 377, 158]}, {\"cell\": \"Pos.\", \"bbox\": [420, 149, 435, 158]}, {\"cell\": \"calretinin\", \"bbox\": [1, 161, 32, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 161, 183, 170]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 161, 326, 170]}, {\"cell\": \"1:100\", \"bbox\": [358, 161, 377, 170]}, {\"cell\": \"Neg.\", \"bbox\": [420, 161, 437, 170]}, {\"cell\": \"Melanoma Marker\", \"bbox\": [1, 173, 60, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 173, 190, 182]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 173, 326, 182]}, {\"cell\": \"1:50\", \"bbox\": [358, 173, 373, 182]}, {\"cell\": \"Neg.\", \"bbox\": [420, 173, 437, 182]}, {\"cell\": \"Melan-A\", \"bbox\": [1, 185, 29, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 185, 183, 194]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 185, 326, 194]}, {\"cell\": \"1:100\", \"bbox\": [358, 185, 377, 194]}, {\"cell\": \"Neg.\", \"bbox\": [420, 185, 437, 194]}, {\"cell\": \"Chromogranin A\", \"bbox\": [1, 197, 56, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 197, 183, 206]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 197, 326, 206]}, {\"cell\": \"1:200\", \"bbox\": [358, 197, 377, 206]}, {\"cell\": \"Neg.\", \"bbox\": [420, 197, 437, 206]}, {\"cell\": \"Desmin\", \"bbox\": [1, 208, 27, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 208, 254, 218]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 208, 326, 218]}, {\"cell\": \"1:200\", \"bbox\": [358, 208, 377, 218]}, {\"cell\": \"Neg.\", \"bbox\": [420, 208, 437, 218]}, {\"cell\": \"Actin\", \"bbox\": [1, 220, 19, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 220, 189, 230]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 220, 326, 230]}, {\"cell\": \"1:100\", \"bbox\": [358, 220, 377, 230]}, {\"cell\": \"Neg.\", \"bbox\": [420, 220, 437, 230]}, {\"cell\": \"Myoglobin\", \"bbox\": [1, 232, 37, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 232, 254, 242]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 232, 326, 242]}, {\"cell\": \"1:800\", \"bbox\": [358, 232, 377, 242]}, {\"cell\": \"Neg.\", \"bbox\": [420, 232, 437, 242]}, {\"cell\": \"CD68\", \"bbox\": [1, 244, 20, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 244, 188, 254]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 244, 326, 254]}, {\"cell\": \"1:100\", \"bbox\": [358, 244, 377, 254]}, {\"cell\": \"Neg.\", \"bbox\": [420, 244, 437, 254]}, {\"cell\": \"CD34\", \"bbox\": [1, 256, 20, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 256, 199, 266]}, {\"cell\": \"Neomarkers\", \"bbox\": [286, 256, 326, 266]}, {\"cell\": \"1:80\", \"bbox\": [358, 256, 373, 266]}, {\"cell\": \"Neg.\", \"bbox\": [420, 256, 437, 266]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3364142_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}270{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Name</b></td><td><b>Age</b></td><td><b>Sex</b></td><td><b>Driving frequency</b></td><td><b>Motion sickness sensitivity</b></td><td><b>No sign</b></td><td><b>750-Intv.</b></td><td><b>3500-Intv.</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>23</td><td>M</td><td>Everyday</td><td>Childhood</td><td>-</td><td>-</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>21</td><td>M</td><td>Occasionally</td><td>None</td><td>+</td><td>+</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>22</td><td>M</td><td>None</td><td>Childhood</td><td>+</td><td>+</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>28</td><td>M</td><td>Everyday</td><td>None</td><td>+</td><td>-</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>29</td><td>M</td><td>None</td><td>Occasionally</td><td>+</td><td>+</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>23</td><td>M</td><td>None</td><td>Childhood</td><td>+</td><td>-</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>21</td><td>M</td><td>Occasionally</td><td>Occasionally</td><td>+</td><td>-</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>M</td><td>None</td><td>None</td><td>+</td><td>+</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>28</td><td>M</td><td>None</td><td>Occasionally</td><td>-</td><td>-</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>27</td><td>M</td><td>Occasionally</td><td>None</td><td>+</td><td>-</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>28</td><td>M</td><td>Occasionally</td><td>None</td><td>+</td><td>-</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>23</td><td>M</td><td>None</td><td>None</td><td>+</td><td>+</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>26</td><td>F</td><td>None</td><td>None</td><td>+</td><td>+</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>23</td><td>F</td><td>Occasionally</td><td>Occasionally</td><td>-</td><td>+</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>23</td><td>F</td><td>Everyday</td><td>Occasionally</td><td>-</td><td>+</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>25</td><td>F</td><td>None</td><td>Childhood</td><td>+</td><td>-</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>21</td><td>F</td><td>Occasionally</td><td>Occasionally</td><td>+</td><td>-</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>F</td><td>None</td><td>Occasionally</td><td>+</td><td>-</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>23</td><td>F</td><td>Everyday</td><td>None</td><td>-</td><td>+</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>22</td><td>F</td><td>None</td><td>Occasionally</td><td>+</td><td>-</td><td>+</td></tr><tr><td>[EMPTY_CELL]</td><td>27</td><td>F</td><td>Occasionally</td><td>Occasionally</td><td>+</td><td>+</td><td>-</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Name</b>\", \"bbox\": [4, 4, 27, 14]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [43, 4, 58, 14]}, {\"cell\": \"<b>Sex</b>\", \"bbox\": [83, 4, 97, 14]}, {\"cell\": \"<b>Driving frequency</b>\", \"bbox\": [119, 4, 180, 14]}, {\"cell\": \"<b>Motion sickness sensitivity</b>\", \"bbox\": [215, 4, 305, 14]}, {\"cell\": \"<b>No sign</b>\", \"bbox\": [337, 4, 365, 14]}, {\"cell\": \"<b>750-Intv.</b>\", \"bbox\": [392, 4, 423, 14]}, {\"cell\": \"<b>3500-Intv.</b>\", \"bbox\": [447, 4, 482, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 25, 36]}, {\"cell\": \"23\", \"bbox\": [43, 27, 53, 36]}, {\"cell\": \"M\", \"bbox\": [83, 27, 92, 36]}, {\"cell\": \"Everyday\", \"bbox\": [119, 27, 151, 36]}, {\"cell\": \"Childhood\", \"bbox\": [215, 27, 252, 36]}, {\"cell\": \"-\", \"bbox\": [337, 27, 342, 36]}, {\"cell\": \"-\", \"bbox\": [392, 27, 397, 36]}, {\"cell\": \"-\", \"bbox\": [447, 27, 452, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 37, 19, 47]}, {\"cell\": \"21\", \"bbox\": [43, 37, 53, 47]}, {\"cell\": \"M\", \"bbox\": [83, 37, 91, 47]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 37, 163, 47]}, {\"cell\": \"None\", \"bbox\": [215, 37, 236, 47]}, {\"cell\": \"+\", \"bbox\": [337, 37, 344, 47]}, {\"cell\": \"+\", \"bbox\": [392, 37, 399, 47]}, {\"cell\": \"+\", \"bbox\": [447, 37, 454, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 47, 23, 57]}, {\"cell\": \"22\", \"bbox\": [43, 47, 53, 57]}, {\"cell\": \"M\", \"bbox\": [83, 47, 92, 57]}, {\"cell\": \"None\", \"bbox\": [119, 47, 140, 57]}, {\"cell\": \"Childhood\", \"bbox\": [215, 47, 252, 57]}, {\"cell\": \"+\", \"bbox\": [337, 47, 344, 57]}, {\"cell\": \"+\", \"bbox\": [392, 47, 399, 57]}, {\"cell\": \"-\", \"bbox\": [447, 47, 452, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 57, 25, 67]}, {\"cell\": \"28\", \"bbox\": [43, 57, 53, 67]}, {\"cell\": \"M\", \"bbox\": [83, 57, 92, 67]}, {\"cell\": \"Everyday\", \"bbox\": [119, 57, 151, 67]}, {\"cell\": \"None\", \"bbox\": [215, 57, 236, 67]}, {\"cell\": \"+\", \"bbox\": [337, 57, 344, 67]}, {\"cell\": \"-\", \"bbox\": [392, 57, 397, 67]}, {\"cell\": \"-\", \"bbox\": [447, 57, 452, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 68, 27, 77]}, {\"cell\": \"29\", \"bbox\": [43, 68, 53, 77]}, {\"cell\": \"M\", \"bbox\": [83, 68, 92, 77]}, {\"cell\": \"None\", \"bbox\": [119, 68, 140, 77]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 68, 259, 77]}, {\"cell\": \"+\", \"bbox\": [337, 68, 344, 77]}, {\"cell\": \"+\", \"bbox\": [392, 68, 399, 77]}, {\"cell\": \"-\", \"bbox\": [447, 68, 452, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 78, 22, 88]}, {\"cell\": \"23\", \"bbox\": [43, 78, 53, 88]}, {\"cell\": \"M\", \"bbox\": [83, 78, 92, 88]}, {\"cell\": \"None\", \"bbox\": [119, 78, 140, 88]}, {\"cell\": \"Childhood\", \"bbox\": [215, 78, 252, 88]}, {\"cell\": \"+\", \"bbox\": [337, 78, 344, 88]}, {\"cell\": \"-\", \"bbox\": [392, 78, 397, 88]}, {\"cell\": \"+\", \"bbox\": [447, 78, 454, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 88, 20, 98]}, {\"cell\": \"21\", \"bbox\": [43, 88, 53, 98]}, {\"cell\": \"M\", \"bbox\": [83, 88, 92, 98]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 88, 163, 98]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 88, 259, 98]}, {\"cell\": \"+\", \"bbox\": [337, 88, 344, 98]}, {\"cell\": \"-\", \"bbox\": [392, 88, 397, 98]}, {\"cell\": \"-\", \"bbox\": [447, 88, 452, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 98, 23, 108]}, {\"cell\": \"24\", \"bbox\": [43, 98, 53, 108]}, {\"cell\": \"M\", \"bbox\": [83, 98, 92, 108]}, {\"cell\": \"None\", \"bbox\": [119, 98, 140, 108]}, {\"cell\": \"None\", \"bbox\": [215, 98, 236, 108]}, {\"cell\": \"+\", \"bbox\": [337, 98, 344, 108]}, {\"cell\": \"+\", \"bbox\": [392, 98, 399, 108]}, {\"cell\": \"+\", \"bbox\": [447, 98, 454, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 109, 22, 118]}, {\"cell\": \"28\", \"bbox\": [43, 109, 53, 118]}, {\"cell\": \"M\", \"bbox\": [83, 109, 92, 118]}, {\"cell\": \"None\", \"bbox\": [119, 109, 140, 118]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 109, 259, 118]}, {\"cell\": \"-\", \"bbox\": [337, 109, 342, 118]}, {\"cell\": \"-\", \"bbox\": [392, 109, 397, 118]}, {\"cell\": \"+\", \"bbox\": [447, 109, 454, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 119, 28, 129]}, {\"cell\": \"27\", \"bbox\": [43, 119, 53, 129]}, {\"cell\": \"M\", \"bbox\": [83, 119, 92, 129]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 119, 163, 129]}, {\"cell\": \"None\", \"bbox\": [215, 119, 236, 129]}, {\"cell\": \"+\", \"bbox\": [337, 119, 344, 129]}, {\"cell\": \"-\", \"bbox\": [392, 119, 397, 129]}, {\"cell\": \"-\", \"bbox\": [447, 119, 452, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 129, 21, 139]}, {\"cell\": \"28\", \"bbox\": [43, 129, 53, 139]}, {\"cell\": \"M\", \"bbox\": [83, 129, 91, 139]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 129, 163, 139]}, {\"cell\": \"None\", \"bbox\": [215, 129, 236, 139]}, {\"cell\": \"+\", \"bbox\": [337, 129, 344, 139]}, {\"cell\": \"-\", \"bbox\": [392, 129, 397, 139]}, {\"cell\": \"+\", \"bbox\": [447, 129, 454, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 139, 22, 149]}, {\"cell\": \"23\", \"bbox\": [43, 139, 53, 149]}, {\"cell\": \"M\", \"bbox\": [83, 139, 92, 149]}, {\"cell\": \"None\", \"bbox\": [119, 139, 140, 149]}, {\"cell\": \"None\", \"bbox\": [215, 139, 236, 149]}, {\"cell\": \"+\", \"bbox\": [337, 139, 344, 149]}, {\"cell\": \"+\", \"bbox\": [392, 139, 399, 149]}, {\"cell\": \"-\", \"bbox\": [447, 139, 452, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 150, 22, 159]}, {\"cell\": \"26\", \"bbox\": [43, 150, 53, 159]}, {\"cell\": \"F\", \"bbox\": [83, 150, 89, 159]}, {\"cell\": \"None\", \"bbox\": [119, 150, 140, 159]}, {\"cell\": \"None\", \"bbox\": [215, 150, 236, 159]}, {\"cell\": \"+\", \"bbox\": [337, 150, 344, 159]}, {\"cell\": \"+\", \"bbox\": [392, 150, 399, 159]}, {\"cell\": \"+\", \"bbox\": [447, 150, 454, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 160, 22, 170]}, {\"cell\": \"23\", \"bbox\": [43, 160, 53, 170]}, {\"cell\": \"F\", \"bbox\": [83, 160, 89, 170]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 160, 163, 170]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 160, 259, 170]}, {\"cell\": \"-\", \"bbox\": [337, 160, 342, 170]}, {\"cell\": \"+\", \"bbox\": [392, 160, 399, 170]}, {\"cell\": \"-\", \"bbox\": [447, 160, 452, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 170, 18, 180]}, {\"cell\": \"23\", \"bbox\": [43, 170, 53, 180]}, {\"cell\": \"F\", \"bbox\": [83, 170, 89, 180]}, {\"cell\": \"Everyday\", \"bbox\": [119, 170, 151, 180]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 170, 259, 180]}, {\"cell\": \"-\", \"bbox\": [337, 170, 342, 180]}, {\"cell\": \"+\", \"bbox\": [392, 170, 399, 180]}, {\"cell\": \"+\", \"bbox\": [447, 170, 454, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 180, 26, 190]}, {\"cell\": \"25\", \"bbox\": [43, 180, 53, 190]}, {\"cell\": \"F\", \"bbox\": [83, 180, 89, 190]}, {\"cell\": \"None\", \"bbox\": [119, 180, 140, 190]}, {\"cell\": \"Childhood\", \"bbox\": [215, 180, 252, 190]}, {\"cell\": \"+\", \"bbox\": [337, 180, 344, 190]}, {\"cell\": \"-\", \"bbox\": [392, 180, 397, 190]}, {\"cell\": \"+\", \"bbox\": [447, 180, 454, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 191, 20, 200]}, {\"cell\": \"21\", \"bbox\": [43, 191, 53, 200]}, {\"cell\": \"F\", \"bbox\": [83, 191, 89, 200]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 191, 163, 200]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 191, 259, 200]}, {\"cell\": \"+\", \"bbox\": [337, 191, 344, 200]}, {\"cell\": \"-\", \"bbox\": [392, 191, 397, 200]}, {\"cell\": \"+\", \"bbox\": [447, 191, 454, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 201, 22, 211]}, {\"cell\": \"24\", \"bbox\": [43, 201, 53, 211]}, {\"cell\": \"F\", \"bbox\": [83, 201, 89, 211]}, {\"cell\": \"None\", \"bbox\": [119, 201, 140, 211]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 201, 259, 211]}, {\"cell\": \"+\", \"bbox\": [337, 201, 344, 211]}, {\"cell\": \"-\", \"bbox\": [392, 201, 397, 211]}, {\"cell\": \"+\", \"bbox\": [447, 201, 454, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 211, 24, 221]}, {\"cell\": \"23\", \"bbox\": [43, 211, 53, 221]}, {\"cell\": \"F\", \"bbox\": [83, 211, 89, 221]}, {\"cell\": \"Everyday\", \"bbox\": [119, 211, 151, 221]}, {\"cell\": \"None\", \"bbox\": [215, 211, 236, 221]}, {\"cell\": \"-\", \"bbox\": [337, 211, 342, 221]}, {\"cell\": \"+\", \"bbox\": [392, 211, 399, 221]}, {\"cell\": \"-\", \"bbox\": [447, 211, 452, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 222, 20, 231]}, {\"cell\": \"22\", \"bbox\": [43, 222, 53, 231]}, {\"cell\": \"F\", \"bbox\": [83, 222, 89, 231]}, {\"cell\": \"None\", \"bbox\": [119, 222, 140, 231]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 222, 259, 231]}, {\"cell\": \"+\", \"bbox\": [337, 222, 344, 231]}, {\"cell\": \"-\", \"bbox\": [392, 222, 397, 231]}, {\"cell\": \"+\", \"bbox\": [447, 222, 454, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 232, 23, 241]}, {\"cell\": \"27\", \"bbox\": [43, 232, 53, 241]}, {\"cell\": \"F\", \"bbox\": [83, 232, 89, 241]}, {\"cell\": \"Occasionally\", \"bbox\": [119, 232, 163, 241]}, {\"cell\": \"Occasionally\", \"bbox\": [215, 232, 259, 241]}, {\"cell\": \"+\", \"bbox\": [337, 232, 344, 241]}, {\"cell\": \"+\", \"bbox\": [392, 232, 399, 241]}, {\"cell\": \"-\", \"bbox\": [447, 232, 452, 241]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2072956_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}271{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Cases</b></td><td colspan=\\\"8\\\"><b>Energy ratios in each frequency band</b></td></tr><tr><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4</b></td><td><b>5</b></td><td><b>6</b></td><td><b>7</b></td><td><b>8</b></td></tr></thead><tbody><tr><td rowspan=\\\"3\\\">Normal</td><td>0.5055</td><td>0.3774</td><td>0.0664</td><td>0.0074</td><td>0.0285</td><td>0.0099</td><td>[EMPTY_CELL]</td><td>0.0015</td></tr><tr><td>0.4699</td><td>0.3989</td><td>0.0656</td><td>0.0089</td><td>0.0345</td><td>0.0160</td><td>0.0048</td><td>[EMPTY_CELL]</td></tr><tr><td>0.4881</td><td>0.4068</td><td>0.0555</td><td>0.0088</td><td>0.0257</td><td>0.0099</td><td>0.0038</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Broken teeth</td><td>0.5709</td><td>0.3092</td><td>0.0712</td><td>0.0152</td><td>0.0235</td><td>0.0068</td><td>[EMPTY_CELL]</td><td>0.0006</td></tr><tr><td>0.5425</td><td>0.3387</td><td>0.0668</td><td>0.0163</td><td>0.0238</td><td>0.0069</td><td>0.0038</td><td>[EMPTY_CELL]</td></tr><tr><td>0.5727</td><td>0.3254</td><td>0.0645</td><td>0.0111</td><td>0.0176</td><td>0.0059</td><td>0.0022</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Wear</td><td>0.8120</td><td>0.1040</td><td>0.0188</td><td>0.0055</td><td>0.0330</td><td>0.0255</td><td>[EMPTY_CELL]</td><td>0.0003</td></tr><tr><td>0.8267</td><td>0.0975</td><td>0.0175</td><td>0.0055</td><td>0.0301</td><td>0.0215</td><td>0.0009</td><td>[EMPTY_CELL]</td></tr><tr><td>0.8521</td><td>0.0831</td><td>0.0190</td><td>0.0061</td><td>0.0236</td><td>0.0141</td><td>0.0008</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Missing teeth</td><td>0.1902</td><td>0.3251</td><td>0.1063</td><td>0.0116</td><td>0.1712</td><td>0.1581</td><td>[EMPTY_CELL]</td><td>0.0041</td></tr><tr><td>0.1932</td><td>0.3082</td><td>0.0844</td><td>0.0244</td><td>0.1607</td><td>0.1909</td><td>0.0299</td><td>[EMPTY_CELL]</td></tr><tr><td>0.2200</td><td>0.2558</td><td>0.1340</td><td>0.0092</td><td>0.1816</td><td>0.1727</td><td>0.0212</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Cases</b>\", \"bbox\": [2, 9, 25, 20]}, {\"cell\": \"<b>Energy ratios in each frequency band</b>\", \"bbox\": [222, 4, 357, 15]}, {\"cell\": \"<b>1</b>\", \"bbox\": [89, 16, 94, 27]}, {\"cell\": \"<b>2</b>\", \"bbox\": [145, 16, 151, 27]}, {\"cell\": \"<b>3</b>\", \"bbox\": [202, 16, 208, 27]}, {\"cell\": \"<b>4</b>\", \"bbox\": [258, 16, 264, 27]}, {\"cell\": \"<b>5</b>\", \"bbox\": [314, 16, 320, 27]}, {\"cell\": \"<b>6</b>\", \"bbox\": [369, 16, 376, 27]}, {\"cell\": \"<b>7</b>\", \"bbox\": [426, 16, 432, 27]}, {\"cell\": \"<b>8</b>\", \"bbox\": [482, 16, 489, 27]}, {\"cell\": \"Normal\", \"bbox\": [2, 41, 32, 51]}, {\"cell\": \"0.5055\", \"bbox\": [79, 29, 104, 40]}, {\"cell\": \"0.3774\", \"bbox\": [136, 29, 161, 40]}, {\"cell\": \"0.0664\", \"bbox\": [191, 29, 218, 40]}, {\"cell\": \"0.0074\", \"bbox\": [248, 29, 274, 40]}, {\"cell\": \"0.0285\", \"bbox\": [304, 29, 329, 40]}, {\"cell\": \"0.0099\", \"bbox\": [360, 29, 386, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 29, 442, 40]}, {\"cell\": \"0.0015\", \"bbox\": [473, 29, 498, 40]}, {\"cell\": \"0.4699\", \"bbox\": [79, 42, 105, 52]}, {\"cell\": \"0.3989\", \"bbox\": [135, 42, 161, 52]}, {\"cell\": \"0.0656\", \"bbox\": [192, 42, 218, 52]}, {\"cell\": \"0.0089\", \"bbox\": [248, 42, 274, 52]}, {\"cell\": \"0.0345\", \"bbox\": [304, 42, 329, 52]}, {\"cell\": \"0.0160\", \"bbox\": [360, 42, 385, 52]}, {\"cell\": \"0.0048\", \"bbox\": [416, 42, 442, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 42, 498, 52]}, {\"cell\": \"0.4881\", \"bbox\": [80, 54, 104, 65]}, {\"cell\": \"0.4068\", \"bbox\": [135, 54, 161, 65]}, {\"cell\": \"0.0555\", \"bbox\": [192, 54, 217, 65]}, {\"cell\": \"0.0088\", \"bbox\": [248, 54, 274, 65]}, {\"cell\": \"0.0257\", \"bbox\": [304, 54, 329, 65]}, {\"cell\": \"0.0099\", \"bbox\": [359, 54, 386, 65]}, {\"cell\": \"0.0038\", \"bbox\": [416, 54, 442, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 54, 498, 65]}, {\"cell\": \"Broken teeth\", \"bbox\": [2, 78, 50, 89]}, {\"cell\": \"0.5709\", \"bbox\": [79, 67, 105, 78]}, {\"cell\": \"0.3092\", \"bbox\": [135, 67, 161, 78]}, {\"cell\": \"0.0712\", \"bbox\": [192, 67, 217, 78]}, {\"cell\": \"0.0152\", \"bbox\": [249, 67, 273, 78]}, {\"cell\": \"0.0235\", \"bbox\": [304, 67, 329, 78]}, {\"cell\": \"0.0068\", \"bbox\": [360, 67, 386, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 67, 442, 78]}, {\"cell\": \"0.0006\", \"bbox\": [472, 67, 499, 78]}, {\"cell\": \"0.5425\", \"bbox\": [79, 79, 105, 90]}, {\"cell\": \"0.3387\", \"bbox\": [136, 79, 161, 90]}, {\"cell\": \"0.0668\", \"bbox\": [191, 79, 218, 90]}, {\"cell\": \"0.0163\", \"bbox\": [249, 79, 273, 90]}, {\"cell\": \"0.0238\", \"bbox\": [304, 79, 329, 90]}, {\"cell\": \"0.0069\", \"bbox\": [360, 79, 386, 90]}, {\"cell\": \"0.0038\", \"bbox\": [416, 79, 442, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 79, 498, 90]}, {\"cell\": \"0.5727\", \"bbox\": [79, 92, 104, 103]}, {\"cell\": \"0.3254\", \"bbox\": [136, 92, 161, 103]}, {\"cell\": \"0.0645\", \"bbox\": [192, 92, 218, 103]}, {\"cell\": \"0.0111\", \"bbox\": [250, 92, 272, 103]}, {\"cell\": \"0.0176\", \"bbox\": [305, 92, 329, 103]}, {\"cell\": \"0.0059\", \"bbox\": [360, 92, 386, 103]}, {\"cell\": \"0.0022\", \"bbox\": [416, 92, 442, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 92, 499, 103]}, {\"cell\": \"Wear\", \"bbox\": [2, 116, 23, 127]}, {\"cell\": \"0.8120\", \"bbox\": [80, 105, 104, 115]}, {\"cell\": \"0.1040\", \"bbox\": [136, 105, 161, 115]}, {\"cell\": \"0.0188\", \"bbox\": [192, 105, 217, 115]}, {\"cell\": \"0.0055\", \"bbox\": [248, 105, 274, 115]}, {\"cell\": \"0.0330\", \"bbox\": [304, 105, 329, 115]}, {\"cell\": \"0.0255\", \"bbox\": [360, 105, 385, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 105, 442, 115]}, {\"cell\": \"0.0003\", \"bbox\": [473, 105, 498, 115]}, {\"cell\": \"0.8267\", \"bbox\": [79, 117, 105, 128]}, {\"cell\": \"0.0975\", \"bbox\": [135, 117, 161, 128]}, {\"cell\": \"0.0175\", \"bbox\": [193, 117, 217, 128]}, {\"cell\": \"0.0055\", \"bbox\": [248, 117, 274, 128]}, {\"cell\": \"0.0301\", \"bbox\": [305, 117, 329, 128]}, {\"cell\": \"0.0215\", \"bbox\": [361, 117, 385, 128]}, {\"cell\": \"0.0009\", \"bbox\": [416, 117, 442, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 117, 498, 128]}, {\"cell\": \"0.8521\", \"bbox\": [80, 130, 104, 140]}, {\"cell\": \"0.0831\", \"bbox\": [136, 130, 160, 140]}, {\"cell\": \"0.0190\", \"bbox\": [192, 130, 217, 140]}, {\"cell\": \"0.0061\", \"bbox\": [248, 130, 273, 140]}, {\"cell\": \"0.0236\", \"bbox\": [304, 130, 329, 140]}, {\"cell\": \"0.0141\", \"bbox\": [361, 130, 384, 140]}, {\"cell\": \"0.0008\", \"bbox\": [416, 130, 442, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 130, 498, 140]}, {\"cell\": \"Missing teeth\", \"bbox\": [2, 154, 53, 165]}, {\"cell\": \"0.1902\", \"bbox\": [80, 142, 104, 153]}, {\"cell\": \"0.3251\", \"bbox\": [136, 142, 160, 153]}, {\"cell\": \"0.1063\", \"bbox\": [192, 142, 217, 153]}, {\"cell\": \"0.0116\", \"bbox\": [249, 142, 273, 153]}, {\"cell\": \"0.1712\", \"bbox\": [305, 142, 328, 153]}, {\"cell\": \"0.1581\", \"bbox\": [361, 142, 384, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 142, 442, 153]}, {\"cell\": \"0.0041\", \"bbox\": [473, 142, 498, 153]}, {\"cell\": \"0.1932\", \"bbox\": [80, 155, 104, 166]}, {\"cell\": \"0.3082\", \"bbox\": [135, 155, 161, 166]}, {\"cell\": \"0.0844\", \"bbox\": [191, 155, 218, 166]}, {\"cell\": \"0.0244\", \"bbox\": [248, 155, 274, 166]}, {\"cell\": \"0.1607\", \"bbox\": [304, 155, 329, 166]}, {\"cell\": \"0.1909\", \"bbox\": [360, 155, 385, 166]}, {\"cell\": \"0.0299\", \"bbox\": [416, 155, 442, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 155, 498, 166]}, {\"cell\": \"0.2200\", \"bbox\": [79, 167, 105, 178]}, {\"cell\": \"0.2558\", \"bbox\": [136, 167, 161, 178]}, {\"cell\": \"0.1340\", \"bbox\": [192, 167, 217, 178]}, {\"cell\": \"0.0092\", \"bbox\": [248, 167, 274, 178]}, {\"cell\": \"0.1816\", \"bbox\": [305, 167, 328, 178]}, {\"cell\": \"0.1727\", \"bbox\": [361, 167, 385, 178]}, {\"cell\": \"0.0212\", \"bbox\": [417, 167, 441, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 167, 498, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3943295_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}272{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Hospital Anxiety and Depression scale</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Number of patients</b></td><td><b>Depression</b></td><td><b>Anxiety</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>61</td><td>4.52±4.13</td><td>5.74±4.05</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>6.33±5.08</td><td>7.17±4.58</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>5.13±3.314</td><td>5.75±3.81</td></tr><tr><td>[EMPTY_CELL]</td><td>40</td><td>4.83±4.02</td><td>6.18±4.16</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>3.09±4.85</td><td>5.73±4.86</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td><td>5.57±4.58</td><td>6.43±6.05</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.055; 0.388</td><td>0.416; 0.837</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>5.48±4.48</td><td>6.58±4.33</td></tr><tr><td>[EMPTY_CELL]</td><td>69</td><td>4.28±4.04</td><td>5.67±4.12</td></tr><tr><td>[EMPTY_CELL]</td><td>18</td><td>4.71±4.62</td><td>5.59±4.14</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.194; 0.314</td><td>2.440; 0.067</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Hospital Anxiety and Depression scale</b>\", \"bbox\": [215, 4, 379, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of patients</b>\", \"bbox\": [116, 16, 200, 27]}, {\"cell\": \"<b>Depression</b>\", \"bbox\": [218, 16, 268, 27]}, {\"cell\": \"<b>Anxiety</b>\", \"bbox\": [320, 16, 355, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 29, 71, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 42, 42, 53]}, {\"cell\": \"61\", \"bbox\": [152, 42, 164, 53]}, {\"cell\": \"4.52±4.13\", \"bbox\": [222, 38, 264, 54]}, {\"cell\": \"5.74±4.05\", \"bbox\": [316, 38, 359, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 55, 44, 66]}, {\"cell\": \"24\", \"bbox\": [152, 51, 164, 67]}, {\"cell\": \"6.33±5.08\", \"bbox\": [222, 55, 264, 66]}, {\"cell\": \"7.17±4.58\", \"bbox\": [316, 51, 359, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 68, 50, 79]}, {\"cell\": \"8\", \"bbox\": [155, 68, 162, 79]}, {\"cell\": \"5.13±3.314\", \"bbox\": [219, 64, 267, 80]}, {\"cell\": \"5.75±3.81\", \"bbox\": [316, 68, 359, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 81, 52, 92]}, {\"cell\": \"40\", \"bbox\": [152, 77, 164, 93]}, {\"cell\": \"4.83±4.02\", \"bbox\": [222, 77, 264, 93]}, {\"cell\": \"6.18±4.16\", \"bbox\": [316, 77, 359, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 94, 77, 105]}, {\"cell\": \"7\", \"bbox\": [155, 94, 162, 105]}, {\"cell\": \"3.09±4.85\", \"bbox\": [222, 90, 264, 106]}, {\"cell\": \"5.73±4.86\", \"bbox\": [316, 90, 359, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 106, 36, 118]}, {\"cell\": \"11\", \"bbox\": [153, 106, 164, 118]}, {\"cell\": \"5.57±4.58\", \"bbox\": [222, 103, 264, 118]}, {\"cell\": \"6.43±6.05\", \"bbox\": [316, 103, 359, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 119, 22, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.055; 0.388\", \"bbox\": [217, 119, 269, 131]}, {\"cell\": \"0.416; 0.837\", \"bbox\": [311, 116, 364, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 132, 54, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 145, 84, 156]}, {\"cell\": \"64\", \"bbox\": [152, 142, 164, 157]}, {\"cell\": \"5.48±4.48\", \"bbox\": [222, 142, 264, 157]}, {\"cell\": \"6.58±4.33\", \"bbox\": [316, 142, 359, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 158, 79, 169]}, {\"cell\": \"69\", \"bbox\": [152, 158, 164, 169]}, {\"cell\": \"4.28±4.04\", \"bbox\": [222, 155, 264, 170]}, {\"cell\": \"5.67±4.12\", \"bbox\": [316, 155, 359, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 171, 48, 182]}, {\"cell\": \"18\", \"bbox\": [152, 171, 164, 182]}, {\"cell\": \"4.71±4.62\", \"bbox\": [222, 168, 264, 183]}, {\"cell\": \"5.59±4.14\", \"bbox\": [316, 168, 359, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 184, 22, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.194; 0.314\", \"bbox\": [217, 180, 269, 196]}, {\"cell\": \"2.440; 0.067\", \"bbox\": [311, 180, 364, 196]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5593666_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}273{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Characteristics</b></td><td><b>Single shock</b></td><td><b>Recurrent shock</b></td><td rowspan=\\\"2\\\"><b>Missing data (%)</b></td><td rowspan=\\\"2\\\"><b><i>P</i>-value</b></td></tr><tr><td><b>(<i>N</i> = 318)</b></td><td><b>(<i>N</i> = 126)</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>10 (0.25 to 15)<sup>b</sup></td><td>10 (0.5 to 15)</td><td>[EMPTY_CELL]</td><td>0.95</td></tr><tr><td>Females/total</td><td>171/318</td><td>73/126</td><td>[EMPTY_CELL]</td><td>0.43</td></tr><tr><td>Admission day</td><td>3.97 ± 1.20<sup>c</sup></td><td>3.71 ± 1.08</td><td>[EMPTY_CELL]</td><td>0.035</td></tr><tr><td>Days of shock</td><td>4.95 ± 1.34</td><td>4.67 ± 1.38</td><td>[EMPTY_CELL]</td><td>0.054</td></tr><tr><td>Petechia</td><td>144/318 (45%)</td><td>61/126 (48%)</td><td>[EMPTY_CELL]</td><td>0.55</td></tr><tr><td>Tourniquet test</td><td>12/318 (4%)</td><td>5/126 (4%)</td><td>[EMPTY_CELL]</td><td>0.93</td></tr><tr><td>Nose/gum bleeding</td><td>40/318 (13%)</td><td>21/126 (17%)</td><td>[EMPTY_CELL]</td><td>0.26</td></tr><tr><td>Purpura/ecchymosis</td><td>98/318 (31%)</td><td>62/126 (49%)</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>GI bleeding</td><td>36/318 (11%)</td><td>23/126 (18%)</td><td>[EMPTY_CELL]</td><td>0.052</td></tr><tr><td>Ascites/pleural effusion</td><td>114/318 (36%)</td><td>92/126 (73%)</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>HCT (%)</td><td>43.01 ± 5.83</td><td>43.50 ± 5.50</td><td>[EMPTY_CELL]</td><td>0.43</td></tr><tr><td>PLTs (×10<sup>3</sup>/μl)</td><td>110.59 ± 56.10</td><td>96.63 ± 60.34</td><td>[EMPTY_CELL]</td><td>0.024</td></tr><tr><td>WBC count (×10<sup>3</sup>/μl)</td><td>5.55 ± 3.75</td><td>4.98 ± 2.73</td><td>[EMPTY_CELL]</td><td>0.141</td></tr><tr><td>Pulse pressure (mmHg)</td><td>18.41 ± 6.26</td><td>16.31 ± 7.24</td><td>[EMPTY_CELL]</td><td>0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 53, 13]}, {\"cell\": \"<b>Single shock</b>\", \"bbox\": [129, 4, 175, 13]}, {\"cell\": \"<b>Recurrent shock</b>\", \"bbox\": [233, 4, 291, 13]}, {\"cell\": \"<b>Missing data (%)</b>\", \"bbox\": [344, 4, 403, 13]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [456, 4, 484, 13]}, {\"cell\": \"<b>(<i>N</i> = 318)</b>\", \"bbox\": [129, 17, 162, 26]}, {\"cell\": \"<b>(<i>N</i> = 126)</b>\", \"bbox\": [233, 17, 266, 26]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 30, 38, 40]}, {\"cell\": \"10 (0.25 to 15)<sup>b</sup>\", \"bbox\": [129, 29, 181, 40]}, {\"cell\": \"10 (0.5 to 15)\", \"bbox\": [233, 30, 278, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 30, 350, 40]}, {\"cell\": \"0.95\", \"bbox\": [456, 30, 471, 40]}, {\"cell\": \"Females/total\", \"bbox\": [1, 44, 45, 54]}, {\"cell\": \"171/318\", \"bbox\": [129, 44, 157, 54]}, {\"cell\": \"73/126\", \"bbox\": [233, 44, 257, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 44, 350, 54]}, {\"cell\": \"0.43\", \"bbox\": [456, 44, 471, 54]}, {\"cell\": \"Admission day\", \"bbox\": [1, 58, 49, 68]}, {\"cell\": \"3.97 ± 1.20<sup>c</sup>\", \"bbox\": [129, 57, 168, 68]}, {\"cell\": \"3.71 ± 1.08\", \"bbox\": [233, 58, 269, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 58, 365, 68]}, {\"cell\": \"0.035\", \"bbox\": [456, 58, 475, 68]}, {\"cell\": \"Days of shock\", \"bbox\": [1, 72, 47, 82]}, {\"cell\": \"4.95 ± 1.34\", \"bbox\": [129, 72, 165, 82]}, {\"cell\": \"4.67 ± 1.38\", \"bbox\": [233, 72, 269, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 72, 369, 82]}, {\"cell\": \"0.054\", \"bbox\": [456, 72, 475, 82]}, {\"cell\": \"Petechia\", \"bbox\": [1, 86, 30, 96]}, {\"cell\": \"144/318 (45%)\", \"bbox\": [129, 86, 177, 96]}, {\"cell\": \"61/126 (48%)\", \"bbox\": [233, 86, 277, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 86, 350, 96]}, {\"cell\": \"0.55\", \"bbox\": [456, 86, 471, 96]}, {\"cell\": \"Tourniquet test\", \"bbox\": [1, 100, 51, 110]}, {\"cell\": \"12/318 (4%)\", \"bbox\": [129, 100, 170, 110]}, {\"cell\": \"5/126 (4%)\", \"bbox\": [233, 100, 270, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 100, 365, 110]}, {\"cell\": \"0.93\", \"bbox\": [456, 100, 471, 110]}, {\"cell\": \"Nose/gum bleeding\", \"bbox\": [1, 114, 67, 124]}, {\"cell\": \"40/318 (13%)\", \"bbox\": [129, 114, 173, 124]}, {\"cell\": \"21/126 (17%)\", \"bbox\": [233, 114, 277, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 114, 350, 124]}, {\"cell\": \"0.26\", \"bbox\": [456, 114, 471, 124]}, {\"cell\": \"Purpura/ecchymosis\", \"bbox\": [1, 128, 67, 138]}, {\"cell\": \"98/318 (31%)\", \"bbox\": [129, 128, 173, 138]}, {\"cell\": \"62/126 (49%)\", \"bbox\": [233, 128, 277, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 128, 350, 138]}, {\"cell\": \"<0.001\", \"bbox\": [456, 128, 480, 138]}, {\"cell\": \"GI bleeding\", \"bbox\": [1, 142, 40, 152]}, {\"cell\": \"36/318 (11%)\", \"bbox\": [129, 142, 173, 152]}, {\"cell\": \"23/126 (18%)\", \"bbox\": [233, 142, 277, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 142, 350, 152]}, {\"cell\": \"0.052\", \"bbox\": [456, 142, 475, 152]}, {\"cell\": \"Ascites/pleural effusion\", \"bbox\": [1, 156, 76, 166]}, {\"cell\": \"114/318 (36%)\", \"bbox\": [129, 156, 177, 166]}, {\"cell\": \"92/126 (73%)\", \"bbox\": [233, 156, 277, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 156, 365, 166]}, {\"cell\": \"<0.001\", \"bbox\": [456, 156, 480, 166]}, {\"cell\": \"HCT (%)\", \"bbox\": [1, 170, 28, 180]}, {\"cell\": \"43.01 ± 5.83\", \"bbox\": [129, 170, 169, 180]}, {\"cell\": \"43.50 ± 5.50\", \"bbox\": [233, 170, 273, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 170, 365, 180]}, {\"cell\": \"0.43\", \"bbox\": [456, 170, 471, 180]}, {\"cell\": \"PLTs (×10<sup>3</sup>/μl)\", \"bbox\": [1, 182, 47, 194]}, {\"cell\": \"110.59 ± 56.10\", \"bbox\": [129, 184, 176, 194]}, {\"cell\": \"96.63 ± 60.34\", \"bbox\": [233, 184, 277, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 184, 369, 194]}, {\"cell\": \"0.024\", \"bbox\": [456, 184, 475, 194]}, {\"cell\": \"WBC count (×10<sup>3</sup>/μl)\", \"bbox\": [1, 196, 69, 208]}, {\"cell\": \"5.55 ± 3.75\", \"bbox\": [129, 198, 165, 208]}, {\"cell\": \"4.98 ± 2.73\", \"bbox\": [233, 198, 269, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 198, 369, 208]}, {\"cell\": \"0.141\", \"bbox\": [456, 198, 475, 208]}, {\"cell\": \"Pulse pressure (mmHg)\", \"bbox\": [1, 212, 77, 222]}, {\"cell\": \"18.41 ± 6.26\", \"bbox\": [129, 212, 169, 222]}, {\"cell\": \"16.31 ± 7.24\", \"bbox\": [233, 212, 273, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 212, 350, 222]}, {\"cell\": \"0.001\", \"bbox\": [456, 212, 475, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4057383_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}274{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Changes during no treatment (SD)</b></td><td><b>Changes during liraglutide (SD)</b></td><td><b>Difference between changes (95% confidence interval)</b></td><td><b>p-value*</b></td></tr></thead><tbody><tr><td>CFR</td><td>0.02 (0.32)</td><td>0.18 (0.38)</td><td>[EMPTY_CELL]</td><td>0.18</td></tr><tr><td>RHI</td><td>0.03 (0.30)</td><td>0.12 (0.51)</td><td>[EMPTY_CELL]</td><td>0.49</td></tr><tr><td>AI</td><td>-1.4 (8.9)</td><td>-1.2 (9.6)</td><td>[EMPTY_CELL]</td><td>0.95</td></tr><tr><td>HbA1c (mmol/mol)</td><td>0.9 (6.3)</td><td>-9.2 (5.1)</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td>Weight (Kg)</td><td>-0.1 (2.5)</td><td>- 2.0 (2.8)</td><td>[EMPTY_CELL]</td><td>0.03</td></tr><tr><td>Waist circumference (cm)</td><td>-1 (4)</td><td>-1 (2)</td><td>[EMPTY_CELL]</td><td>0.96</td></tr><tr><td>Systolic BP (mmHg)</td><td>5 (12)</td><td>-5 (9)</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td>Diastolic BP (mmHg)</td><td>1 (7)</td><td>-1 (8)</td><td>[EMPTY_CELL]</td><td>0.35</td></tr><tr><td>Heart rate (bpm)</td><td>4 (10)</td><td>4 (9)</td><td>[EMPTY_CELL]</td><td>0.97</td></tr><tr><td>Fasting glucose (mmol/L)</td><td>0.52 (1.85)</td><td>-1.61 (1.54)</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Insulin (μU/ml)</td><td>-3 (39)</td><td>-10 (45)</td><td>[EMPTY_CELL]</td><td>0.65</td></tr><tr><td>C-peptide (pmol/L)</td><td>21 (280)</td><td>52 (279)</td><td>[EMPTY_CELL]</td><td>0.73</td></tr><tr><td>HOMA index</td><td>0.1 (3.6)</td><td>-1.5 (3.2)</td><td>[EMPTY_CELL]</td><td>0.13</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>Changes during no treatment (SD)</b>\", \"bbox\": [121, 4, 185, 22]}, {\"cell\": \"<b>Changes during liraglutide (SD)</b>\", \"bbox\": [222, 4, 279, 22]}, {\"cell\": \"<b>Difference between changes (95% confidence interval)</b>\", \"bbox\": [316, 4, 417, 22]}, {\"cell\": \"<b>p-value*</b>\", \"bbox\": [453, 4, 484, 13]}, {\"cell\": \"CFR\", \"bbox\": [1, 26, 15, 36]}, {\"cell\": \"0.02 (0.32)\", \"bbox\": [121, 26, 155, 36]}, {\"cell\": \"0.18 (0.38)\", \"bbox\": [222, 26, 256, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 26, 369, 36]}, {\"cell\": \"0.18\", \"bbox\": [453, 26, 468, 36]}, {\"cell\": \"RHI\", \"bbox\": [1, 40, 13, 50]}, {\"cell\": \"0.03 (0.30)\", \"bbox\": [121, 40, 155, 50]}, {\"cell\": \"0.12 (0.51)\", \"bbox\": [222, 40, 256, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 40, 369, 50]}, {\"cell\": \"0.49\", \"bbox\": [453, 40, 468, 50]}, {\"cell\": \"AI\", \"bbox\": [1, 54, 9, 64]}, {\"cell\": \"-1.4 (8.9)\", \"bbox\": [121, 54, 150, 64]}, {\"cell\": \"-1.2 (9.6)\", \"bbox\": [222, 54, 251, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 54, 361, 64]}, {\"cell\": \"0.95\", \"bbox\": [453, 54, 468, 64]}, {\"cell\": \"HbA1c (mmol/mol)\", \"bbox\": [1, 68, 64, 78]}, {\"cell\": \"0.9 (6.3)\", \"bbox\": [121, 68, 147, 78]}, {\"cell\": \"-9.2 (5.1)\", \"bbox\": [222, 68, 251, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 68, 370, 78]}, {\"cell\": \"0.01\", \"bbox\": [453, 68, 468, 78]}, {\"cell\": \"Weight (Kg)\", \"bbox\": [1, 82, 40, 92]}, {\"cell\": \"-0.1 (2.5)\", \"bbox\": [121, 82, 150, 92]}, {\"cell\": \"- 2.0 (2.8)\", \"bbox\": [222, 82, 253, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 82, 362, 92]}, {\"cell\": \"0.03\", \"bbox\": [453, 82, 468, 92]}, {\"cell\": \"Waist circumference (cm)\", \"bbox\": [1, 96, 84, 106]}, {\"cell\": \"-1 (4)\", \"bbox\": [121, 96, 139, 106]}, {\"cell\": \"-1 (2)\", \"bbox\": [222, 96, 240, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 96, 342, 106]}, {\"cell\": \"0.96\", \"bbox\": [453, 96, 468, 106]}, {\"cell\": \"Systolic BP (mmHg)\", \"bbox\": [1, 110, 65, 120]}, {\"cell\": \"5 (12)\", \"bbox\": [121, 110, 141, 120]}, {\"cell\": \"-5 (9)\", \"bbox\": [222, 110, 240, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 110, 354, 120]}, {\"cell\": \"0.01\", \"bbox\": [453, 110, 468, 120]}, {\"cell\": \"Diastolic BP (mmHg)\", \"bbox\": [1, 124, 68, 134]}, {\"cell\": \"1 (7)\", \"bbox\": [121, 124, 137, 134]}, {\"cell\": \"-1 (8)\", \"bbox\": [222, 124, 240, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 124, 344, 134]}, {\"cell\": \"0.35\", \"bbox\": [453, 124, 468, 134]}, {\"cell\": \"Heart rate (bpm)\", \"bbox\": [1, 138, 56, 148]}, {\"cell\": \"4 (10)\", \"bbox\": [121, 138, 141, 148]}, {\"cell\": \"4 (9)\", \"bbox\": [222, 138, 238, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 138, 351, 148]}, {\"cell\": \"0.97\", \"bbox\": [453, 138, 468, 148]}, {\"cell\": \"Fasting glucose (mmol/L)\", \"bbox\": [1, 152, 84, 162]}, {\"cell\": \"0.52 (1.85)\", \"bbox\": [121, 152, 155, 162]}, {\"cell\": \"-1.61 (1.54)\", \"bbox\": [222, 152, 258, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 152, 373, 162]}, {\"cell\": \"<0.001\", \"bbox\": [453, 152, 477, 162]}, {\"cell\": \"Insulin (μU/ml)\", \"bbox\": [1, 166, 50, 176]}, {\"cell\": \"-3 (39)\", \"bbox\": [121, 166, 143, 176]}, {\"cell\": \"-10 (45)\", \"bbox\": [222, 166, 248, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 166, 352, 176]}, {\"cell\": \"0.65\", \"bbox\": [453, 166, 468, 176]}, {\"cell\": \"C-peptide (pmol/L)\", \"bbox\": [1, 180, 64, 190]}, {\"cell\": \"21 (280)\", \"bbox\": [121, 180, 149, 190]}, {\"cell\": \"52 (279)\", \"bbox\": [222, 180, 250, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 180, 361, 190]}, {\"cell\": \"0.73\", \"bbox\": [453, 180, 468, 190]}, {\"cell\": \"HOMA index\", \"bbox\": [1, 194, 44, 204]}, {\"cell\": \"0.1 (3.6)\", \"bbox\": [121, 194, 147, 204]}, {\"cell\": \"-1.5 (3.2)\", \"bbox\": [222, 194, 251, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 194, 360, 204]}, {\"cell\": \"0.13\", \"bbox\": [453, 194, 468, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4407869_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}275{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Peak No</b></td><td><b>Retention Time (Min)</b></td><td><b>MS + T<sub>ret </sub>identification<sup>*</sup></b></td><td><b>*%</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>3.19</td><td>N(b)-benzyl-14-(carboxymethyl)</td><td>6.35</td></tr><tr><td>[EMPTY_CELL]</td><td>3.21</td><td>Benzene, 1.3-bis (3-phenoxyphenoxy)</td><td>13.51</td></tr><tr><td>[EMPTY_CELL]</td><td>3.43</td><td>2-Phenyl-2-tipyl-acenapthenone</td><td>4.50</td></tr><tr><td>[EMPTY_CELL]</td><td>5.96</td><td>α-pinene</td><td>0.49</td></tr><tr><td>[EMPTY_CELL]</td><td>6.30</td><td>Camphene</td><td>0.14</td></tr><tr><td>[EMPTY_CELL]</td><td>8.28</td><td>1.8 cineole</td><td>0.91</td></tr><tr><td>[EMPTY_CELL]</td><td>11.32</td><td>Camphor</td><td>2.77</td></tr><tr><td>[EMPTY_CELL]</td><td>11.91</td><td>Endo-Borneol</td><td>1.76</td></tr><tr><td>[EMPTY_CELL]</td><td>12.23</td><td>Linalool</td><td>0.20</td></tr><tr><td>[EMPTY_CELL]</td><td>12.60</td><td>1-α-Terpineol</td><td>0.43</td></tr><tr><td>[EMPTY_CELL]</td><td>12.88</td><td>α-Caryophyllene oxide</td><td>0.95</td></tr><tr><td>[EMPTY_CELL]</td><td>12.94</td><td>Nopol</td><td>0.45</td></tr><tr><td>[EMPTY_CELL]</td><td>13.10</td><td>2-Pinen-4-one</td><td>10.03</td></tr><tr><td>[EMPTY_CELL]</td><td>15.12</td><td>(-)-Bornyl acetate</td><td>1.96</td></tr><tr><td>[EMPTY_CELL]</td><td>17.81</td><td>1 Tetradecanol (Fatty alcohol)</td><td>1.07</td></tr><tr><td>[EMPTY_CELL]</td><td>22.60</td><td>5-Octadecene</td><td>1.10</td></tr><tr><td>[EMPTY_CELL]</td><td>29.64</td><td>Hexadecanoic acid (Methyl ester)</td><td>1.02</td></tr><tr><td>[EMPTY_CELL]</td><td>30.38</td><td>Palmitic acid</td><td>3.91</td></tr><tr><td>[EMPTY_CELL]</td><td>34.09</td><td>17-Pentatriacontene</td><td>1.51</td></tr><tr><td>[EMPTY_CELL]</td><td>36.27</td><td>Tritetracontane</td><td>1.36</td></tr><tr><td>[EMPTY_CELL]</td><td>36.88</td><td>5.beta.-Pregn-11-ene</td><td>1.71</td></tr><tr><td>[EMPTY_CELL]</td><td>38.76</td><td>4-Imidozolidinone</td><td>3.49</td></tr><tr><td>[EMPTY_CELL]</td><td>40.52</td><td>Naphthalene</td><td>1.06</td></tr><tr><td>[EMPTY_CELL]</td><td>40.82</td><td>Quinoline</td><td>1.58</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>60.55%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Peak No</b>\", \"bbox\": [1, 4, 19, 22]}, {\"cell\": \"<b>Retention Time (Min)</b>\", \"bbox\": [32, 4, 87, 22]}, {\"cell\": \"<b>MS + T<sub>ret </sub>identification<sup>*</sup></b>\", \"bbox\": [102, 2, 186, 14]}, {\"cell\": \"<b>*%</b>\", \"bbox\": [212, 4, 224, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 6, 36]}, {\"cell\": \"3.19\", \"bbox\": [32, 26, 46, 36]}, {\"cell\": \"N(b)-benzyl-14-(carboxymethyl)\", \"bbox\": [102, 26, 203, 36]}, {\"cell\": \"6.35\", \"bbox\": [212, 26, 227, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 6, 48]}, {\"cell\": \"3.21\", \"bbox\": [32, 38, 46, 48]}, {\"cell\": \"Benzene, 1.3-bis (3-phenoxyphenoxy)\", \"bbox\": [102, 38, 166, 57]}, {\"cell\": \"13.51\", \"bbox\": [212, 38, 231, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 6, 68]}, {\"cell\": \"3.43\", \"bbox\": [32, 59, 46, 68]}, {\"cell\": \"2-Phenyl-2-tipyl-acenapthenone\", \"bbox\": [102, 59, 205, 68]}, {\"cell\": \"4.50\", \"bbox\": [212, 59, 227, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 6, 80]}, {\"cell\": \"5.96\", \"bbox\": [32, 71, 46, 80]}, {\"cell\": \"α-pinene\", \"bbox\": [102, 71, 133, 80]}, {\"cell\": \"0.49\", \"bbox\": [212, 71, 227, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 6, 92]}, {\"cell\": \"6.30\", \"bbox\": [32, 83, 46, 92]}, {\"cell\": \"Camphene\", \"bbox\": [102, 83, 139, 92]}, {\"cell\": \"0.14\", \"bbox\": [212, 83, 227, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 6, 104]}, {\"cell\": \"8.28\", \"bbox\": [32, 95, 46, 104]}, {\"cell\": \"1.8 cineole\", \"bbox\": [102, 95, 138, 104]}, {\"cell\": \"0.91\", \"bbox\": [212, 95, 227, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 107, 6, 116]}, {\"cell\": \"11.32\", \"bbox\": [32, 107, 50, 116]}, {\"cell\": \"Camphor\", \"bbox\": [102, 107, 133, 116]}, {\"cell\": \"2.77\", \"bbox\": [212, 107, 227, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 6, 128]}, {\"cell\": \"11.91\", \"bbox\": [32, 119, 50, 128]}, {\"cell\": \"Endo-Borneol\", \"bbox\": [102, 119, 147, 128]}, {\"cell\": \"1.76\", \"bbox\": [212, 119, 227, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 131, 6, 140]}, {\"cell\": \"12.23\", \"bbox\": [32, 131, 50, 140]}, {\"cell\": \"Linalool\", \"bbox\": [102, 131, 128, 140]}, {\"cell\": \"0.20\", \"bbox\": [212, 131, 227, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 10, 152]}, {\"cell\": \"12.60\", \"bbox\": [32, 143, 50, 152]}, {\"cell\": \"1-α-Terpineol\", \"bbox\": [102, 143, 147, 152]}, {\"cell\": \"0.43\", \"bbox\": [212, 143, 227, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 10, 164]}, {\"cell\": \"12.88\", \"bbox\": [32, 155, 50, 164]}, {\"cell\": \"α-Caryophyllene oxide\", \"bbox\": [102, 155, 176, 164]}, {\"cell\": \"0.95\", \"bbox\": [212, 155, 227, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 167, 10, 176]}, {\"cell\": \"12.94\", \"bbox\": [32, 167, 50, 176]}, {\"cell\": \"Nopol\", \"bbox\": [102, 167, 123, 176]}, {\"cell\": \"0.45\", \"bbox\": [212, 167, 227, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 10, 188]}, {\"cell\": \"13.10\", \"bbox\": [32, 179, 50, 188]}, {\"cell\": \"2-Pinen-4-one\", \"bbox\": [102, 179, 148, 188]}, {\"cell\": \"10.03\", \"bbox\": [212, 179, 231, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 191, 10, 200]}, {\"cell\": \"15.12\", \"bbox\": [32, 191, 50, 200]}, {\"cell\": \"(-)-Bornyl acetate\", \"bbox\": [102, 191, 158, 200]}, {\"cell\": \"1.96\", \"bbox\": [212, 191, 227, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 203, 10, 212]}, {\"cell\": \"17.81\", \"bbox\": [32, 203, 50, 212]}, {\"cell\": \"1 Tetradecanol (Fatty alcohol)\", \"bbox\": [102, 203, 199, 212]}, {\"cell\": \"1.07\", \"bbox\": [212, 203, 227, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 214, 10, 224]}, {\"cell\": \"22.60\", \"bbox\": [32, 214, 50, 224]}, {\"cell\": \"5-Octadecene\", \"bbox\": [102, 214, 148, 224]}, {\"cell\": \"1.10\", \"bbox\": [212, 214, 227, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 10, 236]}, {\"cell\": \"29.64\", \"bbox\": [32, 226, 50, 236]}, {\"cell\": \"Hexadecanoic acid (Methyl ester)\", \"bbox\": [102, 226, 190, 245]}, {\"cell\": \"1.02\", \"bbox\": [212, 226, 227, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 247, 10, 257]}, {\"cell\": \"30.38\", \"bbox\": [32, 247, 50, 257]}, {\"cell\": \"Palmitic acid\", \"bbox\": [102, 247, 144, 257]}, {\"cell\": \"3.91\", \"bbox\": [212, 247, 227, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 259, 10, 269]}, {\"cell\": \"34.09\", \"bbox\": [32, 259, 50, 269]}, {\"cell\": \"17-Pentatriacontene\", \"bbox\": [102, 259, 168, 269]}, {\"cell\": \"1.51\", \"bbox\": [212, 259, 227, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 271, 10, 281]}, {\"cell\": \"36.27\", \"bbox\": [32, 271, 50, 281]}, {\"cell\": \"Tritetracontane\", \"bbox\": [102, 271, 152, 281]}, {\"cell\": \"1.36\", \"bbox\": [212, 271, 227, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 10, 293]}, {\"cell\": \"36.88\", \"bbox\": [32, 283, 50, 293]}, {\"cell\": \"5.beta.-Pregn-11-ene\", \"bbox\": [102, 283, 169, 293]}, {\"cell\": \"1.71\", \"bbox\": [212, 283, 227, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 295, 10, 305]}, {\"cell\": \"38.76\", \"bbox\": [32, 295, 50, 305]}, {\"cell\": \"4-Imidozolidinone\", \"bbox\": [102, 295, 161, 305]}, {\"cell\": \"3.49\", \"bbox\": [212, 295, 227, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 307, 10, 317]}, {\"cell\": \"40.52\", \"bbox\": [32, 307, 50, 317]}, {\"cell\": \"Naphthalene\", \"bbox\": [102, 307, 145, 317]}, {\"cell\": \"1.06\", \"bbox\": [212, 307, 227, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 319, 10, 329]}, {\"cell\": \"40.82\", \"bbox\": [32, 319, 50, 329]}, {\"cell\": \"Quinoline\", \"bbox\": [102, 319, 135, 329]}, {\"cell\": \"1.58\", \"bbox\": [212, 319, 227, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 331, 23, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"60.55%\", \"bbox\": [212, 331, 236, 340]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3080840_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}276{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Product</b></td><td><b>Lot No.</b></td><td><b>Description</b></td><td><b>Manufacturer</b></td></tr></thead><tbody><tr><td>Celtra</td><td>18017131</td><td>Zirconia-reinforced (10% by weight) lithium silicate ceramic</td><td>[EMPTY_CELL]</td></tr><tr><td>e-max</td><td>T10332</td><td>Lithium disilicate glass ceramic</td><td>[EMPTY_CELL]</td></tr><tr><td>Mark II</td><td>43660</td><td>Feldspathic ceramic</td><td>[EMPTY_CELL]</td></tr><tr><td>Suprinity</td><td>45960</td><td>Zirconia-reinforced (10% by weight) lithium silicate ceramic</td><td>[EMPTY_CELL]</td></tr><tr><td>Suprinity FC</td><td>47860</td><td>Zirconia-reinforced (10% by weight) lithium silicate ceramic</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Product</b>\", \"bbox\": [22, 5, 56, 16]}, {\"cell\": \"<b>Lot No.</b>\", \"bbox\": [97, 5, 130, 16]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [199, 5, 249, 16]}, {\"cell\": \"<b>Manufacturer</b>\", \"bbox\": [341, 5, 400, 16]}, {\"cell\": \"Celtra\", \"bbox\": [26, 26, 52, 37]}, {\"cell\": \"18017131\", \"bbox\": [94, 26, 132, 37]}, {\"cell\": \"Zirconia-reinforced (10% by weight) lithium silicate ceramic\", \"bbox\": [160, 21, 287, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 26, 429, 37]}, {\"cell\": \"e-max\", \"bbox\": [26, 48, 52, 59]}, {\"cell\": \"T10332\", \"bbox\": [98, 48, 128, 59]}, {\"cell\": \"Lithium disilicate glass ceramic\", \"bbox\": [160, 48, 287, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 43, 414, 65]}, {\"cell\": \"Mark II\", \"bbox\": [23, 70, 55, 81]}, {\"cell\": \"43660\", \"bbox\": [101, 70, 126, 81]}, {\"cell\": \"Feldspathic ceramic\", \"bbox\": [183, 70, 264, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 65, 421, 87]}, {\"cell\": \"Suprinity\", \"bbox\": [19, 92, 58, 103]}, {\"cell\": \"45960\", \"bbox\": [101, 92, 126, 103]}, {\"cell\": \"Zirconia-reinforced (10% by weight) lithium silicate ceramic\", \"bbox\": [160, 87, 287, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 87, 421, 109]}, {\"cell\": \"Suprinity FC\", \"bbox\": [12, 114, 65, 125]}, {\"cell\": \"47860\", \"bbox\": [101, 114, 126, 125]}, {\"cell\": \"Zirconia-reinforced (10% by weight) lithium silicate ceramic\", \"bbox\": [160, 109, 287, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 109, 421, 131]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4926356_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}277{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Parameter</b></td><td><b>NBI group (n = 241)</b></td><td><b>Conventional group (n = 241)</b></td><td><b>Significance (p)</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>57.36 (SD 12.07)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Gender M/F</td><td>86/155</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Weight (kg)</td><td>66.73 (SD 12.99)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Height (cm)</td><td>163.49 (SD 11.37)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Total examination time (min)*</td><td>9.21 (SD 3.08)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Previous colonoscopy</td><td>94 (39.0%)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Indication:</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Screening</td><td>42 (17.4%)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Surveillance</td><td>22 (9.1%)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Diagnostic</td><td>177 (73.5%)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Last colonoscopy (years)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>1 to 3</td><td>50</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>3 to 5</td><td>25</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>5 to 10</td><td>11</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>> 10</td><td>8</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Previous polyp resection</td><td>26 (10.8%)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Familial history of colorectal cancer</td><td>44 (18.3%)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr><tr><td>Excellent/good bowel preparation</td><td>167 (69.3%)</td><td>[EMPTY_CELL]</td><td>Ns</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [1, 4, 38, 13]}, {\"cell\": \"<b>NBI group (n = 241)</b>\", \"bbox\": [151, 4, 223, 13]}, {\"cell\": \"<b>Conventional group (n = 241)</b>\", \"bbox\": [258, 4, 364, 13]}, {\"cell\": \"<b>Significance (p)</b>\", \"bbox\": [398, 4, 454, 13]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 17, 38, 27]}, {\"cell\": \"57.36 (SD 12.07)\", \"bbox\": [151, 17, 204, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 17, 311, 27]}, {\"cell\": \"Ns\", \"bbox\": [398, 17, 408, 27]}, {\"cell\": \"Gender M/F\", \"bbox\": [1, 30, 41, 40]}, {\"cell\": \"86/155\", \"bbox\": [151, 30, 175, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 30, 282, 40]}, {\"cell\": \"Ns\", \"bbox\": [398, 30, 408, 40]}, {\"cell\": \"Weight (kg)\", \"bbox\": [1, 44, 40, 53]}, {\"cell\": \"66.73 (SD 12.99)\", \"bbox\": [151, 44, 204, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 44, 311, 53]}, {\"cell\": \"Ns\", \"bbox\": [398, 44, 408, 53]}, {\"cell\": \"Height (cm)\", \"bbox\": [1, 57, 41, 66]}, {\"cell\": \"163.49 (SD 11.37)\", \"bbox\": [151, 57, 208, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 57, 311, 66]}, {\"cell\": \"Ns\", \"bbox\": [398, 57, 408, 66]}, {\"cell\": \"Total examination time (min)*\", \"bbox\": [1, 70, 99, 79]}, {\"cell\": \"9.21 (SD 3.08)\", \"bbox\": [151, 70, 197, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 70, 304, 79]}, {\"cell\": \"Ns\", \"bbox\": [398, 70, 408, 79]}, {\"cell\": \"Previous colonoscopy\", \"bbox\": [1, 83, 72, 93]}, {\"cell\": \"94 (39.0%)\", \"bbox\": [151, 83, 186, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 83, 293, 93]}, {\"cell\": \"Ns\", \"bbox\": [398, 83, 408, 93]}, {\"cell\": \"Indication:\", \"bbox\": [1, 96, 35, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Screening\", \"bbox\": [1, 110, 34, 119]}, {\"cell\": \"42 (17.4%)\", \"bbox\": [151, 110, 186, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 110, 293, 119]}, {\"cell\": \"Ns\", \"bbox\": [398, 110, 408, 119]}, {\"cell\": \"Surveillance\", \"bbox\": [1, 123, 40, 132]}, {\"cell\": \"22 (9.1%)\", \"bbox\": [151, 123, 182, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 123, 289, 132]}, {\"cell\": \"Ns\", \"bbox\": [398, 123, 408, 132]}, {\"cell\": \"Diagnostic\", \"bbox\": [1, 136, 36, 145]}, {\"cell\": \"177 (73.5%)\", \"bbox\": [151, 136, 190, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 136, 297, 145]}, {\"cell\": \"Ns\", \"bbox\": [398, 136, 408, 145]}, {\"cell\": \"Last colonoscopy (years)\", \"bbox\": [1, 149, 81, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1 to 3\", \"bbox\": [1, 161, 22, 171]}, {\"cell\": \"50\", \"bbox\": [151, 161, 161, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 161, 267, 171]}, {\"cell\": \"Ns\", \"bbox\": [398, 161, 408, 171]}, {\"cell\": \"3 to 5\", \"bbox\": [1, 173, 22, 183]}, {\"cell\": \"25\", \"bbox\": [151, 173, 161, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 173, 267, 183]}, {\"cell\": \"Ns\", \"bbox\": [398, 173, 408, 183]}, {\"cell\": \"5 to 10\", \"bbox\": [1, 185, 26, 195]}, {\"cell\": \"11\", \"bbox\": [151, 185, 161, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 185, 267, 195]}, {\"cell\": \"Ns\", \"bbox\": [398, 185, 408, 195]}, {\"cell\": \"> 10\", \"bbox\": [1, 197, 18, 207]}, {\"cell\": \"8\", \"bbox\": [151, 197, 157, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 197, 267, 207]}, {\"cell\": \"Ns\", \"bbox\": [398, 197, 408, 207]}, {\"cell\": \"Previous polyp resection\", \"bbox\": [1, 210, 81, 220]}, {\"cell\": \"26 (10.8%)\", \"bbox\": [151, 210, 186, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 210, 289, 220]}, {\"cell\": \"Ns\", \"bbox\": [398, 210, 408, 220]}, {\"cell\": \"Familial history of colorectal cancer\", \"bbox\": [1, 223, 116, 233]}, {\"cell\": \"44 (18.3%)\", \"bbox\": [151, 223, 186, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 223, 293, 233]}, {\"cell\": \"Ns\", \"bbox\": [398, 223, 408, 233]}, {\"cell\": \"Excellent/good bowel preparation\", \"bbox\": [1, 237, 112, 246]}, {\"cell\": \"167 (69.3%)\", \"bbox\": [151, 237, 190, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 237, 297, 246]}, {\"cell\": \"Ns\", \"bbox\": [398, 237, 408, 246]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3196709_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}278{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Number of risk-genotypes*</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>0</b></td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>P<sup>b</sup></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>7/20</td><td>114/126</td><td>169/155</td><td>29/17</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.0</td><td>2.58</td><td>3.12</td><td>4.90</td><td>0.004</td></tr><tr><td>[EMPTY_CELL]</td><td>(reference)</td><td>(1.05–6.33)</td><td>(1.28–7.58)</td><td>(1.72–14.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>11/14</td><td>161/167</td><td>198/203</td><td>25/25</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.0</td><td>1.24</td><td>1.25</td><td>1.28</td><td>0.74</td></tr><tr><td>[EMPTY_CELL]</td><td>(reference)</td><td>(0.55–2.82)</td><td>(0.55–2.83)</td><td>(0.49–3.35)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10/34</td><td>132/293</td><td>177/358</td><td>23/42</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.0</td><td>1.51</td><td>1.65</td><td>1.86</td><td>0.16</td></tr><tr><td>[EMPTY_CELL]</td><td>(reference)</td><td>(0.72–3.14)</td><td>(0.80–3.42)</td><td>(0.78–4.44)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8/34</td><td>143/293</td><td>190/358</td><td>31/42</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.0</td><td>2.13</td><td>2.32</td><td>3.18</td><td>0.03</td></tr><tr><td>[EMPTY_CELL]</td><td>(reference)</td><td>(0.96–4.73)</td><td>(1.05–5.11)</td><td>(1.29–7.82)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of risk-genotypes*</b>\", \"bbox\": [204, 4, 298, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0</b>\", \"bbox\": [123, 27, 129, 36]}, {\"cell\": \"<b>1</b>\", \"bbox\": [206, 27, 212, 36]}, {\"cell\": \"<b>2</b>\", \"bbox\": [289, 27, 296, 36]}, {\"cell\": \"<b>3</b>\", \"bbox\": [373, 27, 379, 36]}, {\"cell\": \"<b>P<sup>b</sup></b>\", \"bbox\": [454, 26, 463, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 49, 71, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 59, 49, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 69, 70, 79]}, {\"cell\": \"7/20\", \"bbox\": [118, 69, 135, 79]}, {\"cell\": \"114/126\", \"bbox\": [195, 69, 224, 79]}, {\"cell\": \"169/155\", \"bbox\": [278, 69, 307, 79]}, {\"cell\": \"29/17\", \"bbox\": [365, 69, 386, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 79, 50, 89]}, {\"cell\": \"1.0\", \"bbox\": [120, 79, 132, 89]}, {\"cell\": \"2.58\", \"bbox\": [201, 79, 217, 89]}, {\"cell\": \"3.12\", \"bbox\": [284, 79, 301, 89]}, {\"cell\": \"4.90\", \"bbox\": [368, 79, 384, 89]}, {\"cell\": \"0.004\", \"bbox\": [449, 79, 469, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 89, 60, 100]}, {\"cell\": \"(reference)\", \"bbox\": [107, 90, 146, 100]}, {\"cell\": \"(1.05–6.33)\", \"bbox\": [190, 90, 229, 100]}, {\"cell\": \"(1.28–7.58)\", \"bbox\": [273, 90, 312, 100]}, {\"cell\": \"(1.72–14.0)\", \"bbox\": [356, 90, 396, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 100, 39, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 110, 70, 120]}, {\"cell\": \"11/14\", \"bbox\": [116, 110, 137, 120]}, {\"cell\": \"161/167\", \"bbox\": [195, 110, 224, 120]}, {\"cell\": \"198/203\", \"bbox\": [278, 110, 307, 120]}, {\"cell\": \"25/25\", \"bbox\": [365, 110, 386, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 120, 50, 130]}, {\"cell\": \"1.0\", \"bbox\": [120, 120, 132, 130]}, {\"cell\": \"1.24\", \"bbox\": [201, 120, 217, 130]}, {\"cell\": \"1.25\", \"bbox\": [284, 120, 301, 130]}, {\"cell\": \"1.28\", \"bbox\": [368, 120, 384, 130]}, {\"cell\": \"0.74\", \"bbox\": [451, 120, 467, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 130, 60, 141]}, {\"cell\": \"(reference)\", \"bbox\": [107, 131, 146, 141]}, {\"cell\": \"(0.55–2.82)\", \"bbox\": [190, 131, 229, 141]}, {\"cell\": \"(0.55–2.83)\", \"bbox\": [273, 131, 312, 141]}, {\"cell\": \"(0.49–3.35)\", \"bbox\": [356, 131, 396, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 141, 44, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 151, 27, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 162, 70, 171]}, {\"cell\": \"10/34\", \"bbox\": [116, 162, 137, 171]}, {\"cell\": \"132/293\", \"bbox\": [195, 162, 224, 171]}, {\"cell\": \"177/358\", \"bbox\": [278, 162, 307, 171]}, {\"cell\": \"23/42\", \"bbox\": [365, 162, 386, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 172, 50, 182]}, {\"cell\": \"1.0\", \"bbox\": [120, 172, 132, 182]}, {\"cell\": \"1.51\", \"bbox\": [201, 172, 217, 182]}, {\"cell\": \"1.65\", \"bbox\": [284, 172, 301, 182]}, {\"cell\": \"1.86\", \"bbox\": [368, 172, 384, 182]}, {\"cell\": \"0.16\", \"bbox\": [451, 172, 467, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 182, 60, 192]}, {\"cell\": \"(reference)\", \"bbox\": [107, 182, 146, 192]}, {\"cell\": \"(0.72–3.14)\", \"bbox\": [190, 182, 229, 192]}, {\"cell\": \"(0.80–3.42)\", \"bbox\": [273, 182, 312, 192]}, {\"cell\": \"(0.78–4.44)\", \"bbox\": [356, 182, 396, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 32, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 202, 70, 212]}, {\"cell\": \"8/34\", \"bbox\": [118, 202, 135, 212]}, {\"cell\": \"143/293\", \"bbox\": [195, 202, 224, 212]}, {\"cell\": \"190/358\", \"bbox\": [278, 202, 307, 212]}, {\"cell\": \"31/42\", \"bbox\": [365, 202, 386, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 213, 50, 223]}, {\"cell\": \"1.0\", \"bbox\": [120, 213, 132, 223]}, {\"cell\": \"2.13\", \"bbox\": [201, 213, 217, 223]}, {\"cell\": \"2.32\", \"bbox\": [284, 213, 301, 223]}, {\"cell\": \"3.18\", \"bbox\": [368, 213, 384, 223]}, {\"cell\": \"0.03\", \"bbox\": [451, 213, 467, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 223, 60, 233]}, {\"cell\": \"(reference)\", \"bbox\": [107, 223, 146, 233]}, {\"cell\": \"(0.96–4.73)\", \"bbox\": [190, 223, 229, 233]}, {\"cell\": \"(1.05–5.11)\", \"bbox\": [273, 223, 312, 233]}, {\"cell\": \"(1.29–7.82)\", \"bbox\": [356, 223, 396, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC549041_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}279{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Argimycin PIV</b></td><td colspan=\\\"2\\\"><b>Argimycin PV</b></td><td colspan=\\\"2\\\"><b>Argimycin PVI</b></td></tr><tr><td><b>Carbon</b></td><td><b>δ<sub>H</sub> (mult, <i>J</i>, Hz)</b></td><td><b>δ<sub>C</sub> (ppm)</b></td><td><b>δ<sub>H</sub> (mult, <i>J</i>, Hz)</b></td><td><b>δ<sub>C</sub> (ppm)</b></td><td><b>δ<sub>H</sub> (mult, <i>J</i>, Hz)</b></td><td><b>δ<sub>C</sub> (ppm)</b></td></tr></thead><tbody><tr><td>2</td><td>3.27 (app quintet, ca. 6.3)3.02 (app quintet, ca. 6.3)</td><td>35.5</td><td>3.18 (app quintet, ca. 6.3)3.07 (app quintet, ca. 6.3)</td><td>39.1</td><td>3.13 (m)3.00 (m)</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>1.97 (m) 1.72 (m)</td><td>23.3</td><td>1.95 (m) 1.68 (m)</td><td>16.4</td><td>1.78 (m) 1.69 (m)</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>3.89 (dd, 6.6, 3.0)</td><td>68.9</td><td>1.89 (m)</td><td>30.9</td><td>1.99 (m)</td><td>[EMPTY_CELL]</td></tr><tr><td>4a</td><td>–</td><td>77.4</td><td>–</td><td>76.3</td><td>3.02 (m)</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>–</td><td>142.4</td><td>–</td><td>144.8</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>6</td><td>7.06 (br d, 6.0)</td><td>135.5</td><td>7.02 (br d, 6.0)</td><td>134.5</td><td>7.17 (br d, 5.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>7</td><td>6.02 (br d, 6.0)</td><td>126.6</td><td>6.00 (br d, 6.0)</td><td>126.7</td><td>6.15 (br dt, 5.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>7a</td><td>4.36 (br s)</td><td>67.0</td><td>4.13 (br s)</td><td>66.9</td><td>4.25 (dd, 6.5, 2.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>8</td><td>6.15 (d, 11.2)</td><td>125.2</td><td>6.10 (d, 11.2)</td><td>123.0</td><td>6.04 (d, 11.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>9</td><td>6.49 (ddq, 14, 11.2, 1.5)</td><td>127.5</td><td>6.47 (ddq, 14.0, 11.2, 1.6)</td><td>127.4</td><td>6.52 (ddq, 14, 11.1, 1.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>10</td><td>5.91 (dq, 14, 6.7)</td><td>132.1</td><td>5.88 (dq, 14.0, 6.8)</td><td>131.5</td><td>5.83 (dq, 14, 6.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>11</td><td>1.85 (br d, 6.7)</td><td>17.1</td><td>1.84 (dd, 6.9, 1)</td><td>17.1</td><td>1.83 (brd, 6.9)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Argimycin PIV</b>\", \"bbox\": [88, 6, 136, 15]}, {\"cell\": \"<b>Argimycin PV</b>\", \"bbox\": [251, 6, 298, 15]}, {\"cell\": \"<b>Argimycin PVI</b>\", \"bbox\": [410, 6, 458, 15]}, {\"cell\": \"<b>Carbon</b>\", \"bbox\": [1, 26, 27, 34]}, {\"cell\": \"<b>δ<sub>H</sub> (mult, <i>J</i>, Hz)</b>\", \"bbox\": [58, 26, 109, 35]}, {\"cell\": \"<b>δ<sub>C</sub> (ppm)</b>\", \"bbox\": [149, 26, 180, 35]}, {\"cell\": \"<b>δ<sub>H</sub> (mult, <i>J</i>, Hz)</b>\", \"bbox\": [220, 26, 271, 35]}, {\"cell\": \"<b>δ<sub>C</sub> (ppm)</b>\", \"bbox\": [312, 26, 342, 35]}, {\"cell\": \"<b>δ<sub>H</sub> (mult, <i>J</i>, Hz)</b>\", \"bbox\": [383, 26, 434, 35]}, {\"cell\": \"<b>δ<sub>C</sub> (ppm)</b>\", \"bbox\": [474, 26, 505, 35]}, {\"cell\": \"2\", \"bbox\": [1, 43, 6, 51]}, {\"cell\": \"3.27 (app quintet, ca. 6.3)3.02 (app quintet, ca. 6.3)\", \"bbox\": [43, 43, 123, 61]}, {\"cell\": \"35.5\", \"bbox\": [157, 43, 172, 51]}, {\"cell\": \"3.18 (app quintet, ca. 6.3)3.07 (app quintet, ca. 6.3)\", \"bbox\": [206, 43, 286, 61]}, {\"cell\": \"39.1\", \"bbox\": [319, 43, 335, 51]}, {\"cell\": \"3.13 (m)3.00 (m)\", \"bbox\": [395, 43, 422, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 43, 497, 51]}, {\"cell\": \"3\", \"bbox\": [1, 64, 6, 72]}, {\"cell\": \"1.97 (m) 1.72 (m)\", \"bbox\": [57, 64, 110, 72]}, {\"cell\": \"23.3\", \"bbox\": [157, 64, 172, 72]}, {\"cell\": \"1.95 (m) 1.68 (m)\", \"bbox\": [219, 64, 273, 72]}, {\"cell\": \"16.4\", \"bbox\": [319, 64, 335, 72]}, {\"cell\": \"1.78 (m) 1.69 (m)\", \"bbox\": [381, 64, 435, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 64, 497, 72]}, {\"cell\": \"4\", \"bbox\": [1, 75, 6, 84]}, {\"cell\": \"3.89 (dd, 6.6, 3.0)\", \"bbox\": [55, 75, 112, 84]}, {\"cell\": \"68.9\", \"bbox\": [157, 75, 172, 84]}, {\"cell\": \"1.89 (m)\", \"bbox\": [232, 75, 259, 84]}, {\"cell\": \"30.9\", \"bbox\": [319, 75, 335, 84]}, {\"cell\": \"1.99 (m)\", \"bbox\": [395, 75, 422, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 75, 497, 84]}, {\"cell\": \"4a\", \"bbox\": [1, 87, 10, 95]}, {\"cell\": \"–\", \"bbox\": [82, 87, 87, 95]}, {\"cell\": \"77.4\", \"bbox\": [157, 87, 172, 95]}, {\"cell\": \"–\", \"bbox\": [244, 87, 250, 95]}, {\"cell\": \"76.3\", \"bbox\": [319, 87, 335, 95]}, {\"cell\": \"3.02 (m)\", \"bbox\": [395, 87, 422, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 87, 497, 95]}, {\"cell\": \"5\", \"bbox\": [1, 98, 6, 106]}, {\"cell\": \"–\", \"bbox\": [82, 98, 87, 106]}, {\"cell\": \"142.4\", \"bbox\": [152, 98, 172, 106]}, {\"cell\": \"–\", \"bbox\": [244, 98, 250, 106]}, {\"cell\": \"144.8\", \"bbox\": [315, 98, 334, 106]}, {\"cell\": \"–\", \"bbox\": [406, 98, 412, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 98, 497, 106]}, {\"cell\": \"6\", \"bbox\": [1, 109, 6, 118]}, {\"cell\": \"7.06 (br d, 6.0)\", \"bbox\": [60, 109, 107, 118]}, {\"cell\": \"135.5\", \"bbox\": [152, 109, 172, 118]}, {\"cell\": \"7.02 (br d, 6.0)\", \"bbox\": [222, 109, 269, 118]}, {\"cell\": \"134.5\", \"bbox\": [315, 109, 334, 118]}, {\"cell\": \"7.17 (br d, 5.8)\", \"bbox\": [385, 109, 432, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 109, 497, 118]}, {\"cell\": \"7\", \"bbox\": [1, 121, 6, 129]}, {\"cell\": \"6.02 (br d, 6.0)\", \"bbox\": [60, 121, 107, 129]}, {\"cell\": \"126.6\", \"bbox\": [152, 121, 172, 129]}, {\"cell\": \"6.00 (br d, 6.0)\", \"bbox\": [222, 121, 269, 129]}, {\"cell\": \"126.7\", \"bbox\": [315, 121, 334, 129]}, {\"cell\": \"6.15 (br dt, 5.9)\", \"bbox\": [384, 121, 433, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 121, 497, 129]}, {\"cell\": \"7a\", \"bbox\": [1, 132, 10, 140]}, {\"cell\": \"4.36 (br s)\", \"bbox\": [67, 132, 100, 140]}, {\"cell\": \"67.0\", \"bbox\": [157, 132, 172, 140]}, {\"cell\": \"4.13 (br s)\", \"bbox\": [230, 132, 262, 140]}, {\"cell\": \"66.9\", \"bbox\": [319, 132, 335, 140]}, {\"cell\": \"4.25 (dd, 6.5, 2.3)\", \"bbox\": [380, 132, 436, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 132, 497, 140]}, {\"cell\": \"8\", \"bbox\": [1, 143, 6, 152]}, {\"cell\": \"6.15 (d, 11.2)\", \"bbox\": [62, 143, 105, 152]}, {\"cell\": \"125.2\", \"bbox\": [152, 143, 172, 152]}, {\"cell\": \"6.10 (d, 11.2)\", \"bbox\": [225, 143, 267, 152]}, {\"cell\": \"123.0\", \"bbox\": [315, 143, 334, 152]}, {\"cell\": \"6.04 (d, 11.1)\", \"bbox\": [387, 143, 429, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 143, 497, 152]}, {\"cell\": \"9\", \"bbox\": [1, 155, 6, 163]}, {\"cell\": \"6.49 (ddq, 14, 11.2, 1.5)\", \"bbox\": [46, 155, 121, 163]}, {\"cell\": \"127.5\", \"bbox\": [152, 155, 172, 163]}, {\"cell\": \"6.47 (ddq, 14.0, 11.2, 1.6)\", \"bbox\": [205, 155, 287, 163]}, {\"cell\": \"127.4\", \"bbox\": [315, 155, 334, 163]}, {\"cell\": \"6.52 (ddq, 14, 11.1, 1.6)\", \"bbox\": [370, 155, 446, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 155, 497, 163]}, {\"cell\": \"10\", \"bbox\": [1, 166, 10, 174]}, {\"cell\": \"5.91 (dq, 14, 6.7)\", \"bbox\": [56, 166, 111, 174]}, {\"cell\": \"132.1\", \"bbox\": [152, 166, 172, 174]}, {\"cell\": \"5.88 (dq, 14.0, 6.8)\", \"bbox\": [216, 166, 276, 174]}, {\"cell\": \"131.5\", \"bbox\": [315, 166, 334, 174]}, {\"cell\": \"5.83 (dq, 14, 6.8)\", \"bbox\": [381, 166, 435, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [477, 166, 497, 174]}, {\"cell\": \"11\", \"bbox\": [1, 177, 10, 186]}, {\"cell\": \"1.85 (br d, 6.7)\", \"bbox\": [60, 177, 107, 186]}, {\"cell\": \"17.1\", \"bbox\": [157, 177, 172, 186]}, {\"cell\": \"1.84 (dd, 6.9, 1)\", \"bbox\": [221, 177, 271, 186]}, {\"cell\": \"17.1\", \"bbox\": [319, 177, 335, 186]}, {\"cell\": \"1.83 (brd, 6.9)\", \"bbox\": [386, 177, 431, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 177, 497, 186]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5300972_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}280{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Cases</b></td><td><b>Gender</b></td><td><b>Age (years)</b></td><td><b>Grade (0–4)</b></td><td><b>CAG<sub>n</sub> Repeats</b></td><td><b>CAG<sub>n</sub> Repeats</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">Huntington’s disease</td></tr><tr><td>HD1</td><td>M</td><td>[EMPTY_CELL]</td><td>1</td><td>19</td><td>46</td></tr><tr><td>HD2</td><td>M</td><td>[EMPTY_CELL]</td><td>2</td><td>17</td><td>46</td></tr><tr><td>HD3</td><td>F</td><td>[EMPTY_CELL]</td><td>2</td><td>17</td><td>43</td></tr><tr><td>HD4</td><td>M</td><td>[EMPTY_CELL]</td><td>3</td><td>19</td><td>47</td></tr><tr><td>HD5</td><td>F</td><td>[EMPTY_CELL]</td><td>4</td><td>19</td><td>45</td></tr><tr><td>HD6</td><td>M</td><td>[EMPTY_CELL]</td><td>1</td><td>23</td><td>46</td></tr><tr><td>HD7</td><td>M</td><td>[EMPTY_CELL]</td><td>1</td><td>17</td><td>44</td></tr><tr><td>HD8</td><td>F</td><td>[EMPTY_CELL]</td><td>2</td><td>19</td><td>46</td></tr><tr><td>HD9</td><td>M</td><td>[EMPTY_CELL]</td><td>3</td><td>17</td><td>45</td></tr><tr><td>HD10</td><td>M</td><td>[EMPTY_CELL]</td><td>3</td><td>24</td><td>43</td></tr><tr><td>HD11</td><td>M</td><td>[EMPTY_CELL]</td><td>3</td><td>19</td><td>43</td></tr><tr><td>HD12</td><td>M</td><td>[EMPTY_CELL]</td><td>3</td><td>21</td><td>45</td></tr><tr><td>HD13</td><td>M</td><td>[EMPTY_CELL]</td><td>4</td><td>19</td><td>45</td></tr><tr><td>HD14</td><td>M</td><td>[EMPTY_CELL]</td><td>4</td><td>20</td><td>48</td></tr><tr><td>HD15</td><td>M</td><td>[EMPTY_CELL]</td><td>4</td><td>18</td><td>51</td></tr><tr><td>HD16</td><td>F</td><td>[EMPTY_CELL]</td><td>4</td><td>22</td><td>70</td></tr><tr><td>[EMPTY_CELL]</td><td>F:M 4:12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Sporadic tauopathies</td></tr><tr><td>AD</td><td>F</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>18</td><td>18</td></tr><tr><td>PSP</td><td>M</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>20</td><td>20</td></tr><tr><td>PiD</td><td>F</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>19</td><td>24</td></tr><tr><td>CBD</td><td>M</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>28</td><td>33</td></tr><tr><td>[EMPTY_CELL]</td><td>F:M 2:2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Controls</td></tr><tr><td>CTL1</td><td>M</td><td>[EMPTY_CELL]</td><td>0</td><td>20</td><td>[EMPTY_CELL]</td></tr><tr><td>CTL2</td><td>M</td><td>[EMPTY_CELL]</td><td>0</td><td>21</td><td>[EMPTY_CELL]</td></tr><tr><td>CTL3</td><td>M</td><td>[EMPTY_CELL]</td><td>0</td><td>20</td><td>[EMPTY_CELL]</td></tr><tr><td>CTL4</td><td>M</td><td>[EMPTY_CELL]</td><td>0</td><td>20</td><td>[EMPTY_CELL]</td></tr><tr><td>CTL5</td><td>F</td><td>[EMPTY_CELL]</td><td>0</td><td>19</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>F:M 1:4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Cases</b>\", \"bbox\": [6, 10, 30, 20]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [84, 10, 114, 20]}, {\"cell\": \"<b>Age (years)</b>\", \"bbox\": [155, 10, 201, 20]}, {\"cell\": \"<b>Grade (0–4)</b>\", \"bbox\": [263, 10, 310, 20]}, {\"cell\": \"<b>CAG<sub>n</sub> Repeats</b>\", \"bbox\": [346, 10, 403, 20]}, {\"cell\": \"<b>CAG<sub>n</sub> Repeats</b>\", \"bbox\": [437, 10, 494, 20]}, {\"cell\": \"Huntington’s disease\", \"bbox\": [6, 26, 75, 35]}, {\"cell\": \"HD1\", \"bbox\": [12, 37, 30, 46]}, {\"cell\": \"M\", \"bbox\": [84, 37, 92, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 37, 165, 46]}, {\"cell\": \"1\", \"bbox\": [263, 37, 269, 46]}, {\"cell\": \"19\", \"bbox\": [346, 37, 356, 46]}, {\"cell\": \"46\", \"bbox\": [437, 37, 447, 46]}, {\"cell\": \"HD2\", \"bbox\": [12, 48, 30, 57]}, {\"cell\": \"M\", \"bbox\": [84, 48, 92, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 48, 165, 57]}, {\"cell\": \"2\", \"bbox\": [263, 48, 269, 57]}, {\"cell\": \"17\", \"bbox\": [346, 48, 356, 57]}, {\"cell\": \"46\", \"bbox\": [437, 48, 447, 57]}, {\"cell\": \"HD3\", \"bbox\": [12, 59, 30, 68]}, {\"cell\": \"F\", \"bbox\": [84, 59, 90, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 59, 165, 68]}, {\"cell\": \"2\", \"bbox\": [263, 59, 269, 68]}, {\"cell\": \"17\", \"bbox\": [346, 59, 356, 68]}, {\"cell\": \"43\", \"bbox\": [437, 59, 447, 68]}, {\"cell\": \"HD4\", \"bbox\": [12, 70, 30, 79]}, {\"cell\": \"M\", \"bbox\": [84, 70, 92, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 70, 165, 79]}, {\"cell\": \"3\", \"bbox\": [263, 70, 269, 79]}, {\"cell\": \"19\", \"bbox\": [346, 70, 356, 79]}, {\"cell\": \"47\", \"bbox\": [437, 70, 447, 79]}, {\"cell\": \"HD5\", \"bbox\": [12, 81, 30, 90]}, {\"cell\": \"F\", \"bbox\": [84, 81, 90, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 81, 165, 90]}, {\"cell\": \"4\", \"bbox\": [263, 81, 269, 90]}, {\"cell\": \"19\", \"bbox\": [346, 81, 356, 90]}, {\"cell\": \"45\", \"bbox\": [437, 81, 447, 90]}, {\"cell\": \"HD6\", \"bbox\": [12, 92, 30, 101]}, {\"cell\": \"M\", \"bbox\": [84, 92, 92, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 92, 165, 101]}, {\"cell\": \"1\", \"bbox\": [263, 92, 269, 101]}, {\"cell\": \"23\", \"bbox\": [346, 92, 356, 101]}, {\"cell\": \"46\", \"bbox\": [437, 92, 447, 101]}, {\"cell\": \"HD7\", \"bbox\": [12, 103, 30, 112]}, {\"cell\": \"M\", \"bbox\": [84, 103, 92, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 103, 165, 112]}, {\"cell\": \"1\", \"bbox\": [263, 103, 269, 112]}, {\"cell\": \"17\", \"bbox\": [346, 103, 356, 112]}, {\"cell\": \"44\", \"bbox\": [437, 103, 447, 112]}, {\"cell\": \"HD8\", \"bbox\": [12, 114, 30, 123]}, {\"cell\": \"F\", \"bbox\": [84, 114, 90, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 114, 165, 123]}, {\"cell\": \"2\", \"bbox\": [263, 114, 269, 123]}, {\"cell\": \"19\", \"bbox\": [346, 114, 356, 123]}, {\"cell\": \"46\", \"bbox\": [437, 114, 447, 123]}, {\"cell\": \"HD9\", \"bbox\": [12, 125, 30, 134]}, {\"cell\": \"M\", \"bbox\": [84, 125, 92, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 125, 165, 134]}, {\"cell\": \"3\", \"bbox\": [263, 125, 269, 134]}, {\"cell\": \"17\", \"bbox\": [346, 125, 356, 134]}, {\"cell\": \"45\", \"bbox\": [437, 125, 447, 134]}, {\"cell\": \"HD10\", \"bbox\": [12, 135, 34, 145]}, {\"cell\": \"M\", \"bbox\": [84, 135, 92, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 135, 165, 145]}, {\"cell\": \"3\", \"bbox\": [263, 135, 269, 145]}, {\"cell\": \"24\", \"bbox\": [346, 135, 356, 145]}, {\"cell\": \"43\", \"bbox\": [437, 135, 447, 145]}, {\"cell\": \"HD11\", \"bbox\": [12, 146, 34, 156]}, {\"cell\": \"M\", \"bbox\": [84, 146, 92, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 146, 165, 156]}, {\"cell\": \"3\", \"bbox\": [263, 146, 269, 156]}, {\"cell\": \"19\", \"bbox\": [346, 146, 356, 156]}, {\"cell\": \"43\", \"bbox\": [437, 146, 447, 156]}, {\"cell\": \"HD12\", \"bbox\": [12, 157, 34, 167]}, {\"cell\": \"M\", \"bbox\": [84, 157, 92, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 157, 165, 167]}, {\"cell\": \"3\", \"bbox\": [263, 157, 269, 167]}, {\"cell\": \"21\", \"bbox\": [346, 157, 356, 167]}, {\"cell\": \"45\", \"bbox\": [437, 157, 447, 167]}, {\"cell\": \"HD13\", \"bbox\": [12, 168, 34, 178]}, {\"cell\": \"M\", \"bbox\": [84, 168, 92, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 168, 165, 178]}, {\"cell\": \"4\", \"bbox\": [263, 168, 269, 178]}, {\"cell\": \"19\", \"bbox\": [346, 168, 356, 178]}, {\"cell\": \"45\", \"bbox\": [437, 168, 447, 178]}, {\"cell\": \"HD14\", \"bbox\": [12, 179, 34, 189]}, {\"cell\": \"M\", \"bbox\": [84, 179, 92, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 179, 165, 189]}, {\"cell\": \"4\", \"bbox\": [263, 179, 269, 189]}, {\"cell\": \"20\", \"bbox\": [346, 179, 356, 189]}, {\"cell\": \"48\", \"bbox\": [437, 179, 447, 189]}, {\"cell\": \"HD15\", \"bbox\": [12, 190, 34, 200]}, {\"cell\": \"M\", \"bbox\": [84, 190, 92, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 190, 165, 200]}, {\"cell\": \"4\", \"bbox\": [263, 190, 269, 200]}, {\"cell\": \"18\", \"bbox\": [346, 190, 356, 200]}, {\"cell\": \"51\", \"bbox\": [437, 190, 447, 200]}, {\"cell\": \"HD16\", \"bbox\": [12, 201, 34, 211]}, {\"cell\": \"F\", \"bbox\": [84, 201, 90, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 201, 165, 211]}, {\"cell\": \"4\", \"bbox\": [263, 201, 269, 211]}, {\"cell\": \"22\", \"bbox\": [346, 201, 356, 211]}, {\"cell\": \"70\", \"bbox\": [437, 201, 447, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F:M 4:12\", \"bbox\": [84, 212, 114, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 212, 223, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sporadic tauopathies\", \"bbox\": [6, 223, 77, 232]}, {\"cell\": \"AD\", \"bbox\": [12, 234, 26, 243]}, {\"cell\": \"F\", \"bbox\": [84, 234, 90, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 234, 165, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18\", \"bbox\": [346, 234, 356, 243]}, {\"cell\": \"18\", \"bbox\": [437, 234, 447, 243]}, {\"cell\": \"PSP\", \"bbox\": [12, 245, 26, 254]}, {\"cell\": \"M\", \"bbox\": [84, 245, 92, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 245, 165, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [346, 245, 356, 254]}, {\"cell\": \"20\", \"bbox\": [437, 245, 447, 254]}, {\"cell\": \"PiD\", \"bbox\": [12, 256, 26, 265]}, {\"cell\": \"F\", \"bbox\": [84, 256, 90, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 256, 165, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"19\", \"bbox\": [346, 256, 356, 265]}, {\"cell\": \"24\", \"bbox\": [437, 256, 447, 265]}, {\"cell\": \"CBD\", \"bbox\": [12, 267, 31, 276]}, {\"cell\": \"M\", \"bbox\": [84, 267, 92, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 267, 165, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"28\", \"bbox\": [346, 267, 356, 276]}, {\"cell\": \"33\", \"bbox\": [437, 267, 447, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F:M 2:2\", \"bbox\": [84, 278, 111, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 278, 219, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Controls\", \"bbox\": [6, 289, 37, 298]}, {\"cell\": \"CTL1\", \"bbox\": [12, 300, 33, 309]}, {\"cell\": \"M\", \"bbox\": [84, 300, 92, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 300, 165, 309]}, {\"cell\": \"0\", \"bbox\": [263, 300, 269, 309]}, {\"cell\": \"20\", \"bbox\": [346, 300, 356, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTL2\", \"bbox\": [12, 311, 33, 320]}, {\"cell\": \"M\", \"bbox\": [84, 311, 92, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 311, 165, 320]}, {\"cell\": \"0\", \"bbox\": [263, 311, 269, 320]}, {\"cell\": \"21\", \"bbox\": [346, 311, 356, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTL3\", \"bbox\": [12, 322, 33, 331]}, {\"cell\": \"M\", \"bbox\": [84, 322, 92, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 322, 165, 331]}, {\"cell\": \"0\", \"bbox\": [263, 322, 269, 331]}, {\"cell\": \"20\", \"bbox\": [346, 322, 356, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTL4\", \"bbox\": [12, 333, 33, 342]}, {\"cell\": \"M\", \"bbox\": [84, 333, 92, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 333, 165, 342]}, {\"cell\": \"0\", \"bbox\": [263, 333, 269, 342]}, {\"cell\": \"20\", \"bbox\": [346, 333, 356, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTL5\", \"bbox\": [12, 344, 33, 353]}, {\"cell\": \"F\", \"bbox\": [84, 344, 90, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 344, 165, 353]}, {\"cell\": \"0\", \"bbox\": [263, 344, 269, 353]}, {\"cell\": \"19\", \"bbox\": [346, 344, 356, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F:M 1:4\", \"bbox\": [84, 355, 111, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 355, 224, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4572485_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}281{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>M/z (Da)</b></td><td colspan=\\\"2\\\"><b>Multiple testing corrected <i>p</i>-values</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>CON vs. AP vs. CRC</b></td><td><b>AP vs. CRC</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>0.001</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.010</td><td>0.014</td></tr><tr><td>[EMPTY_CELL]</td><td>0.001</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.005</td><td>0.010</td></tr><tr><td>[EMPTY_CELL]</td><td>0.012</td><td>0.004</td></tr><tr><td>[EMPTY_CELL]</td><td>NS</td><td>0.010</td></tr><tr><td>[EMPTY_CELL]</td><td>0.002</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.004</td><td>0.005</td></tr><tr><td>[EMPTY_CELL]</td><td>0.004</td><td>0.006</td></tr><tr><td>[EMPTY_CELL]</td><td>0.006</td><td>0.002</td></tr><tr><td>[EMPTY_CELL]</td><td>0.001</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>NS</td><td>0.005</td></tr><tr><td>[EMPTY_CELL]</td><td>0.001</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.001</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.001</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.003</td><td>0.005</td></tr><tr><td>[EMPTY_CELL]</td><td>NS</td><td>0.006</td></tr><tr><td>[EMPTY_CELL]</td><td>NS</td><td>0.006</td></tr><tr><td>[EMPTY_CELL]</td><td>0.002</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.005</td><td>0.002</td></tr><tr><td>[EMPTY_CELL]</td><td>NS</td><td>0.006</td></tr><tr><td>[EMPTY_CELL]</td><td>0.005</td><td>0.004</td></tr><tr><td>[EMPTY_CELL]</td><td>0.005</td><td>0.002</td></tr><tr><td>[EMPTY_CELL]</td><td>0.001</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.006</td><td>0.002</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>M/z (Da)</b>\", \"bbox\": [1, 5, 41, 16]}, {\"cell\": \"<b>Multiple testing corrected <i>p</i>-values</b>\", \"bbox\": [99, 5, 223, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>CON vs. AP vs. CRC</b>\", \"bbox\": [83, 31, 140, 54]}, {\"cell\": \"<b>AP vs. CRC</b>\", \"bbox\": [182, 31, 239, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 25, 69]}, {\"cell\": \"0.001\", \"bbox\": [98, 58, 125, 69]}, {\"cell\": \"<0.001\", \"bbox\": [193, 58, 228, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 74, 25, 85]}, {\"cell\": \"0.010\", \"bbox\": [98, 74, 125, 85]}, {\"cell\": \"0.014\", \"bbox\": [197, 74, 224, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 89, 25, 100]}, {\"cell\": \"0.001\", \"bbox\": [98, 89, 125, 100]}, {\"cell\": \"<0.001\", \"bbox\": [193, 90, 228, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 105, 25, 116]}, {\"cell\": \"0.005\", \"bbox\": [98, 105, 125, 116]}, {\"cell\": \"0.010\", \"bbox\": [197, 105, 224, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 120, 25, 132]}, {\"cell\": \"0.012\", \"bbox\": [98, 120, 125, 132]}, {\"cell\": \"0.004\", \"bbox\": [197, 120, 224, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 135, 25, 147]}, {\"cell\": \"NS\", \"bbox\": [104, 135, 120, 147]}, {\"cell\": \"0.010\", \"bbox\": [197, 135, 224, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 151, 25, 162]}, {\"cell\": \"0.002\", \"bbox\": [98, 151, 125, 162]}, {\"cell\": \"0.001\", \"bbox\": [197, 151, 224, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 166, 25, 177]}, {\"cell\": \"0.004\", \"bbox\": [98, 166, 125, 177]}, {\"cell\": \"0.005\", \"bbox\": [197, 166, 224, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 181, 25, 193]}, {\"cell\": \"0.004\", \"bbox\": [98, 181, 125, 193]}, {\"cell\": \"0.006\", \"bbox\": [197, 181, 224, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 197, 25, 208]}, {\"cell\": \"0.006\", \"bbox\": [98, 197, 125, 208]}, {\"cell\": \"0.002\", \"bbox\": [197, 197, 224, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 212, 25, 223]}, {\"cell\": \"0.001\", \"bbox\": [98, 212, 125, 223]}, {\"cell\": \"<0.001\", \"bbox\": [193, 212, 228, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 228, 25, 239]}, {\"cell\": \"NS\", \"bbox\": [104, 228, 120, 239]}, {\"cell\": \"0.005\", \"bbox\": [197, 228, 224, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 243, 25, 254]}, {\"cell\": \"0.001\", \"bbox\": [98, 243, 125, 254]}, {\"cell\": \"<0.001\", \"bbox\": [193, 243, 228, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 259, 25, 270]}, {\"cell\": \"0.001\", \"bbox\": [98, 259, 125, 270]}, {\"cell\": \"<0.001\", \"bbox\": [193, 259, 228, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 275, 30, 286]}, {\"cell\": \"0.001\", \"bbox\": [98, 275, 125, 286]}, {\"cell\": \"<0.001\", \"bbox\": [193, 275, 228, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 290, 30, 302]}, {\"cell\": \"0.003\", \"bbox\": [98, 290, 125, 302]}, {\"cell\": \"0.005\", \"bbox\": [197, 290, 224, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 306, 30, 317]}, {\"cell\": \"NS\", \"bbox\": [104, 306, 120, 317]}, {\"cell\": \"0.006\", \"bbox\": [197, 306, 224, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 321, 30, 332]}, {\"cell\": \"NS\", \"bbox\": [104, 321, 120, 332]}, {\"cell\": \"0.006\", \"bbox\": [197, 321, 224, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 336, 30, 348]}, {\"cell\": \"0.002\", \"bbox\": [98, 336, 125, 348]}, {\"cell\": \"<0.001\", \"bbox\": [193, 337, 228, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 30, 363]}, {\"cell\": \"0.005\", \"bbox\": [98, 352, 125, 363]}, {\"cell\": \"0.002\", \"bbox\": [197, 352, 224, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 30, 379]}, {\"cell\": \"NS\", \"bbox\": [104, 367, 120, 379]}, {\"cell\": \"0.006\", \"bbox\": [197, 367, 224, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 382, 30, 394]}, {\"cell\": \"0.005\", \"bbox\": [98, 382, 125, 394]}, {\"cell\": \"0.004\", \"bbox\": [197, 382, 224, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 398, 30, 409]}, {\"cell\": \"0.005\", \"bbox\": [98, 398, 125, 409]}, {\"cell\": \"0.002\", \"bbox\": [197, 398, 224, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 413, 30, 424]}, {\"cell\": \"0.001\", \"bbox\": [98, 413, 125, 424]}, {\"cell\": \"<0.001\", \"bbox\": [193, 414, 228, 425]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 429, 30, 440]}, {\"cell\": \"0.006\", \"bbox\": [98, 429, 125, 440]}, {\"cell\": \"0.002\", \"bbox\": [197, 429, 224, 440]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2688344_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}282{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Imaging parameters</b></td><td><b>Acquisition protocol 1</b></td><td><b>Acquisition protocol 2</b></td></tr></thead><tbody><tr><td>Set kilo-voltage </td><td>90 kV</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of images</td><td>133</td><td>[EMPTY_CELL]</td></tr><tr><td>Angular increment (°/ima)</td><td>1.5 </td><td>[EMPTY_CELL]</td></tr><tr><td>Maximum CBCT speed (°/s)</td><td>100 </td><td>[EMPTY_CELL]</td></tr><tr><td>Maximum readout speed (ima/s)</td><td>67 </td><td>[EMPTY_CELL]</td></tr><tr><td>Total acquisition time (s)</td><td>2.54</td><td>[EMPTY_CELL]</td></tr><tr><td>Detector entrance dose (uGy/frame)</td><td>0.36 </td><td>[EMPTY_CELL]</td></tr><tr><td>Contrast injection parameters</td><td>Injection protocol 1</td><td>[EMPTY_CELL]</td></tr><tr><td>Contrast volume (mL)</td><td>6 </td><td>[EMPTY_CELL]</td></tr><tr><td>Iodine/mL</td><td>320</td><td>[EMPTY_CELL]</td></tr><tr><td>Saline (mL)</td><td>12 </td><td>[EMPTY_CELL]</td></tr><tr><td>Flow rate (mL/s)</td><td>3 </td><td>[EMPTY_CELL]</td></tr><tr><td>X-ray delay (s)</td><td>3 </td><td>[EMPTY_CELL]</td></tr><tr><td>Injection duration (s)</td><td>6 </td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Imaging parameters</b>\", \"bbox\": [2, 4, 76, 15]}, {\"cell\": \"<b>Acquisition protocol 1</b>\", \"bbox\": [233, 4, 314, 15]}, {\"cell\": \"<b>Acquisition protocol 2</b>\", \"bbox\": [417, 4, 499, 15]}, {\"cell\": \"Set kilo-voltage \", \"bbox\": [2, 17, 60, 27]}, {\"cell\": \"90 kV\", \"bbox\": [262, 17, 285, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 17, 469, 27]}, {\"cell\": \"Number of images\", \"bbox\": [2, 29, 71, 40]}, {\"cell\": \"133\", \"bbox\": [267, 29, 280, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 29, 465, 40]}, {\"cell\": \"Angular increment (°/ima)\", \"bbox\": [2, 38, 100, 52]}, {\"cell\": \"1.5 \", \"bbox\": [268, 42, 279, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 42, 463, 52]}, {\"cell\": \"Maximum CBCT speed (°/s)\", \"bbox\": [2, 50, 107, 65]}, {\"cell\": \"100 \", \"bbox\": [267, 54, 281, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 54, 466, 65]}, {\"cell\": \"Maximum readout speed (ima/s)\", \"bbox\": [2, 67, 122, 77]}, {\"cell\": \"67 \", \"bbox\": [268, 67, 279, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 67, 463, 77]}, {\"cell\": \"Total acquisition time (s)\", \"bbox\": [2, 79, 94, 90]}, {\"cell\": \"2.54\", \"bbox\": [265, 79, 282, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 79, 466, 90]}, {\"cell\": \"Detector entrance dose (uGy/frame)\", \"bbox\": [2, 91, 135, 102]}, {\"cell\": \"0.36 \", \"bbox\": [265, 91, 282, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 91, 466, 102]}, {\"cell\": \"Contrast injection parameters\", \"bbox\": [2, 104, 112, 115]}, {\"cell\": \"Injection protocol 1\", \"bbox\": [238, 104, 310, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 104, 494, 115]}, {\"cell\": \"Contrast volume (mL)\", \"bbox\": [2, 117, 85, 128]}, {\"cell\": \"6 \", \"bbox\": [271, 117, 277, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 117, 461, 128]}, {\"cell\": \"Iodine/mL\", \"bbox\": [2, 130, 43, 140]}, {\"cell\": \"320\", \"bbox\": [267, 130, 281, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 130, 465, 140]}, {\"cell\": \"Saline (mL)\", \"bbox\": [2, 142, 47, 153]}, {\"cell\": \"12 \", \"bbox\": [269, 142, 278, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 142, 463, 153]}, {\"cell\": \"Flow rate (mL/s)\", \"bbox\": [2, 155, 64, 165]}, {\"cell\": \"3 \", \"bbox\": [271, 155, 277, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 155, 461, 165]}, {\"cell\": \"X-ray delay (s)\", \"bbox\": [2, 167, 57, 178]}, {\"cell\": \"3 \", \"bbox\": [271, 167, 277, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 167, 461, 178]}, {\"cell\": \"Injection duration (s)\", \"bbox\": [2, 179, 81, 190]}, {\"cell\": \"6 \", \"bbox\": [271, 179, 277, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 179, 461, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4385616_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}283{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Item</b></td><td><b>Questions</b></td><td><b>Mean ± S.D.</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Q1</td><td>Did you sleep well?</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Q2</td><td>Do you worry about your pain and/or nausea?</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Q3</td><td>Have you felt unable to concentrate?</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Q4</td><td>Did you experience nausea?</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Q5</td><td>Did you vomit?</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Q6</td><td>Rate of your pain</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Q7</td><td>Did you enjoy a book or radio or television program?</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Q8</td><td>Were you able to move freely to a rest room without assistance?</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>QOL (Patients)</td><td>Self-evaluated by patients</td><td>[EMPTY_CELL]</td><td><i>p</i>=0.0003a</td></tr><tr><td>QOL (Pharmacists)</td><td>QOL of patients evaluated by pharmacists</td><td>[EMPTY_CELL]</td><td><i>p</i>=0.0025a</td></tr><tr><td>QOL (Nurses)</td><td>QOL of patients evaluated by nurses</td><td>[EMPTY_CELL]</td><td><i>p</i>=0.7649b</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Item</b>\", \"bbox\": [33, 6, 53, 16]}, {\"cell\": \"<b>Questions</b>\", \"bbox\": [196, 6, 237, 16]}, {\"cell\": \"<b>Mean ± S.D.</b>\", \"bbox\": [376, 6, 426, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q1\", \"bbox\": [9, 21, 22, 31]}, {\"cell\": \"Did you sleep well?\", \"bbox\": [107, 21, 181, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 21, 422, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q2\", \"bbox\": [9, 37, 22, 47]}, {\"cell\": \"Do you worry about your pain and/or nausea?\", \"bbox\": [107, 37, 276, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 37, 422, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q3\", \"bbox\": [9, 52, 22, 62]}, {\"cell\": \"Have you felt unable to concentrate?\", \"bbox\": [107, 52, 242, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 52, 422, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q4\", \"bbox\": [9, 68, 22, 78]}, {\"cell\": \"Did you experience nausea?\", \"bbox\": [107, 68, 211, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 68, 422, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q5\", \"bbox\": [9, 83, 22, 93]}, {\"cell\": \"Did you vomit?\", \"bbox\": [107, 83, 166, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 83, 421, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q6\", \"bbox\": [9, 99, 22, 109]}, {\"cell\": \"Rate of your pain\", \"bbox\": [107, 99, 173, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 99, 421, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q7\", \"bbox\": [9, 114, 22, 124]}, {\"cell\": \"Did you enjoy a book or radio or television program?\", \"bbox\": [107, 114, 303, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 114, 422, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q8\", \"bbox\": [9, 130, 22, 140]}, {\"cell\": \"Were you able to move freely to a rest room without assistance?\", \"bbox\": [107, 130, 342, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 130, 422, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"QOL (Patients)\", \"bbox\": [9, 145, 67, 155]}, {\"cell\": \"Self-evaluated by patients\", \"bbox\": [107, 145, 204, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 145, 422, 155]}, {\"cell\": \"<i>p</i>=0.0003a\", \"bbox\": [464, 145, 503, 155]}, {\"cell\": \"QOL (Pharmacists)\", \"bbox\": [9, 161, 82, 171]}, {\"cell\": \"QOL of patients evaluated by pharmacists\", \"bbox\": [107, 161, 263, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 161, 422, 171]}, {\"cell\": \"<i>p</i>=0.0025a\", \"bbox\": [464, 160, 503, 171]}, {\"cell\": \"QOL (Nurses)\", \"bbox\": [9, 176, 63, 186]}, {\"cell\": \"QOL of patients evaluated by nurses\", \"bbox\": [107, 176, 243, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 176, 422, 186]}, {\"cell\": \"<i>p</i>=0.7649b\", \"bbox\": [464, 176, 503, 186]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3614841_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}284{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Group 1 (BSS)</b></td><td colspan=\\\"3\\\"><b>Group 2 (air)</b></td></tr><tr><td><b>Mean ± SD</b></td><td><b>Range</b></td><td><b>Mean ± SD</b></td><td><b>Range</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">250 (120 : 130)</td><td colspan=\\\"3\\\">250 (100 : 150)</td></tr><tr><td>[EMPTY_CELL]</td><td>56 ± 2.3</td><td>52 to 60</td><td>57.9 ± 3.9</td><td>53 to 60</td><td>0.1</td></tr><tr><td>[EMPTY_CELL]</td><td>7.19 ± 1.1</td><td>4.96 to 9.14</td><td>6.51 ± 1</td><td>4.97 to 8.52</td><td>0.7</td></tr><tr><td>[EMPTY_CELL]</td><td>2646 ± 284</td><td>1858 to 2890</td><td>2604 ± 367</td><td>1998 to 3209</td><td>0.16</td></tr><tr><td>[EMPTY_CELL]</td><td>38.2 ± 6</td><td>27 to 49</td><td>40.3 ± 8.4</td><td>31 to 61</td><td>0.8</td></tr><tr><td>[EMPTY_CELL]</td><td>49 ± 8</td><td>39 to 64</td><td>51 ± 10</td><td>34 to 73</td><td>0.3</td></tr><tr><td>[EMPTY_CELL]</td><td>508 ± 22</td><td>474 to 571</td><td>509 ± 34</td><td>450 to 571</td><td>0.28</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Group 1 (BSS)</b>\", \"bbox\": [216, 4, 270, 15]}, {\"cell\": \"<b>Group 2 (air)</b>\", \"bbox\": [389, 4, 440, 15]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [185, 15, 226, 25]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [265, 15, 290, 25]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [328, 15, 370, 25]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [409, 15, 433, 25]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [472, 15, 501, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 28, 101, 39]}, {\"cell\": \"250 (120 : 130)\", \"bbox\": [216, 28, 270, 39]}, {\"cell\": \"250 (100 : 150)\", \"bbox\": [387, 28, 442, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 41, 42, 52]}, {\"cell\": \"56 ± 2.3\", \"bbox\": [191, 41, 220, 52]}, {\"cell\": \"52 to 60\", \"bbox\": [262, 41, 293, 52]}, {\"cell\": \"57.9 ± 3.9\", \"bbox\": [331, 41, 367, 52]}, {\"cell\": \"53 to 60\", \"bbox\": [405, 41, 437, 52]}, {\"cell\": \"0.1\", \"bbox\": [480, 41, 493, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 54, 51, 65]}, {\"cell\": \"7.19 ± 1.1\", \"bbox\": [188, 54, 223, 65]}, {\"cell\": \"4.96 to 9.14\", \"bbox\": [256, 54, 299, 65]}, {\"cell\": \"6.51 ± 1\", \"bbox\": [335, 54, 364, 65]}, {\"cell\": \"4.97 to 8.52\", \"bbox\": [399, 54, 443, 65]}, {\"cell\": \"0.7\", \"bbox\": [480, 54, 493, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 66, 91, 78]}, {\"cell\": \"2646 ± 284\", \"bbox\": [185, 67, 226, 78]}, {\"cell\": \"1858 to 2890\", \"bbox\": [253, 67, 302, 78]}, {\"cell\": \"2604 ± 367\", \"bbox\": [329, 67, 369, 78]}, {\"cell\": \"1998 to 3209\", \"bbox\": [397, 67, 445, 78]}, {\"cell\": \"0.16\", \"bbox\": [478, 67, 495, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 80, 158, 91]}, {\"cell\": \"38.2 ± 6\", \"bbox\": [191, 80, 220, 91]}, {\"cell\": \"27 to 49\", \"bbox\": [262, 80, 293, 91]}, {\"cell\": \"40.3 ± 8.4\", \"bbox\": [331, 80, 367, 91]}, {\"cell\": \"31 to 61\", \"bbox\": [405, 80, 437, 91]}, {\"cell\": \"0.8\", \"bbox\": [480, 80, 493, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 93, 123, 104]}, {\"cell\": \"49 ± 8\", \"bbox\": [194, 93, 217, 104]}, {\"cell\": \"39 to 64\", \"bbox\": [262, 93, 293, 104]}, {\"cell\": \"51 ± 10\", \"bbox\": [336, 93, 363, 104]}, {\"cell\": \"34 to 73\", \"bbox\": [405, 93, 437, 104]}, {\"cell\": \"0.3\", \"bbox\": [480, 93, 493, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 106, 130, 117]}, {\"cell\": \"508 ± 22\", \"bbox\": [190, 106, 221, 117]}, {\"cell\": \"474 to 571\", \"bbox\": [257, 106, 297, 117]}, {\"cell\": \"509 ± 34\", \"bbox\": [333, 106, 365, 117]}, {\"cell\": \"450 to 571\", \"bbox\": [401, 106, 441, 117]}, {\"cell\": \"0.28\", \"bbox\": [478, 106, 495, 117]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5911317_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}285{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b><i>Inoculum</i></b></td><td colspan=\\\"3\\\"><b><i>Lactobacillus helveticus 5</i></b></td><td colspan=\\\"3\\\"><b><i>Lactobacillus delbrueckii</i> subsp <i>bulgaricus</i> 202</b></td><td colspan=\\\"3\\\"><b><i>Lactococcus lactis</i> 4068</b></td><td colspan=\\\"3\\\"><b><i>Streptococcus thermophilus</i> 547</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>λ (Lag)</b></td><td><b>μmax (M% Rate)</b></td><td><b>yEnd</b></td><td><b>λ (Lag)</b></td><td><b>μmax (M% Rate)</b></td><td><b>yEnd</b></td><td><b>λ (Lag)</b></td><td><b>μmax (M% Rate)</b></td><td><b>yEnd</b></td><td><b>λ (Lag)</b></td><td><b>μmax M% (Rate)</b></td><td><b>yEnd</b></td></tr></thead><tbody><tr><td>Not diluted</td><td>0.68</td><td>2.64</td><td>30.06</td><td>1.12</td><td>2.33</td><td>25.63</td><td>1.20</td><td>4.25</td><td>25.14</td><td>nd<sup>‡</sup></td><td>[EMPTY_CELL]</td><td>28.23</td></tr><tr><td>First<sup>*</sup></td><td>4.58</td><td>1.97</td><td>30.55</td><td>3.29</td><td>2.76</td><td>26.98</td><td>2.62</td><td>4.04</td><td>25.27</td><td>nd</td><td>[EMPTY_CELL]</td><td>28.86</td></tr><tr><td>Second<sup>*</sup></td><td>9.01</td><td>1.71</td><td>30.51</td><td>6.78</td><td>2.90</td><td>26.82</td><td>3.97</td><td>4.05</td><td>26.11</td><td>0.33</td><td>[EMPTY_CELL]</td><td>29.29</td></tr><tr><td>Third<sup>*</sup></td><td>11.45</td><td>1.81</td><td>30.50</td><td>10.48</td><td>3.03</td><td>27.21</td><td>5.53</td><td>3.83</td><td>26.02</td><td>1.59</td><td>[EMPTY_CELL]</td><td>29.03</td></tr><tr><td>Fourth<sup>*</sup></td><td>16.17</td><td>1.59</td><td>30.49</td><td>14.14</td><td>2.97</td><td>27.28</td><td>7.35</td><td>3.77</td><td>26.17</td><td>2.69</td><td>[EMPTY_CELL]</td><td>28.87</td></tr><tr><td>Fifth<sup>*</sup></td><td>20.07</td><td>1.52</td><td>30.13</td><td>19.06</td><td>2.60</td><td>26.86</td><td>9.02</td><td>3.70</td><td>25.87</td><td>3.94</td><td>[EMPTY_CELL]</td><td>29.42</td></tr><tr><td>Mean</td><td>10.33</td><td>1.87</td><td>30.38</td><td>9.15</td><td>2.77</td><td>26.80</td><td>4.95</td><td>3.94</td><td>25.76</td><td>2.14</td><td>[EMPTY_CELL]</td><td>28.95</td></tr><tr><td>SD<sup>§</sup></td><td>7.18</td><td>0.14</td><td>0.22</td><td>6.77</td><td>0.26</td><td>0.60</td><td>2.94</td><td>0.21</td><td>0.45</td><td>1.54</td><td>[EMPTY_CELL]</td><td>0.42</td></tr><tr><td>CV%<sup>†</sup></td><td>69.56</td><td>21.77</td><td>0.72</td><td>74.05</td><td>9.51</td><td>2.24</td><td>59.39</td><td>5.25</td><td>1.73</td><td>72.20</td><td>[EMPTY_CELL]</td><td>1.44</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Inoculum</i></b>\", \"bbox\": [1, 6, 33, 15]}, {\"cell\": \"<b><i>Lactobacillus helveticus 5</i></b>\", \"bbox\": [76, 6, 122, 27]}, {\"cell\": \"<b><i>Lactobacillus delbrueckii</i> subsp <i>bulgaricus</i> 202</b>\", \"bbox\": [178, 6, 263, 27]}, {\"cell\": \"<b><i>Lactococcus lactis</i> 4068</b>\", \"bbox\": [320, 6, 364, 27]}, {\"cell\": \"<b><i>Streptococcus thermophilus</i> 547</b>\", \"bbox\": [427, 6, 487, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>λ (Lag)</b>\", \"bbox\": [49, 35, 67, 55]}, {\"cell\": \"<b>μmax (M% Rate)</b>\", \"bbox\": [81, 34, 118, 55]}, {\"cell\": \"<b>yEnd</b>\", \"bbox\": [131, 34, 150, 43]}, {\"cell\": \"<b>λ (Lag)</b>\", \"bbox\": [164, 35, 182, 55]}, {\"cell\": \"<b>μmax (M% Rate)</b>\", \"bbox\": [196, 34, 233, 55]}, {\"cell\": \"<b>yEnd</b>\", \"bbox\": [253, 34, 271, 43]}, {\"cell\": \"<b>λ (Lag)</b>\", \"bbox\": [292, 35, 310, 55]}, {\"cell\": \"<b>μmax (M% Rate)</b>\", \"bbox\": [324, 34, 361, 55]}, {\"cell\": \"<b>yEnd</b>\", \"bbox\": [374, 34, 393, 43]}, {\"cell\": \"<b>λ (Lag)</b>\", \"bbox\": [407, 35, 425, 55]}, {\"cell\": \"<b>μmax M% (Rate)</b>\", \"bbox\": [439, 34, 476, 55]}, {\"cell\": \"<b>yEnd</b>\", \"bbox\": [489, 34, 508, 43]}, {\"cell\": \"Not diluted\", \"bbox\": [1, 66, 35, 74]}, {\"cell\": \"0.68\", \"bbox\": [50, 66, 66, 74]}, {\"cell\": \"2.64\", \"bbox\": [92, 66, 107, 74]}, {\"cell\": \"30.06\", \"bbox\": [131, 66, 150, 74]}, {\"cell\": \"1.12\", \"bbox\": [165, 66, 181, 74]}, {\"cell\": \"2.33\", \"bbox\": [206, 66, 222, 74]}, {\"cell\": \"25.63\", \"bbox\": [252, 66, 272, 74]}, {\"cell\": \"1.20\", \"bbox\": [293, 66, 309, 74]}, {\"cell\": \"4.25\", \"bbox\": [334, 66, 350, 74]}, {\"cell\": \"25.14\", \"bbox\": [374, 66, 393, 74]}, {\"cell\": \"nd<sup>‡</sup>\", \"bbox\": [409, 64, 422, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 66, 465, 74]}, {\"cell\": \"28.23\", \"bbox\": [489, 66, 508, 74]}, {\"cell\": \"First<sup>*</sup>\", \"bbox\": [1, 78, 18, 86]}, {\"cell\": \"4.58\", \"bbox\": [50, 78, 66, 86]}, {\"cell\": \"1.97\", \"bbox\": [92, 78, 107, 86]}, {\"cell\": \"30.55\", \"bbox\": [131, 78, 150, 86]}, {\"cell\": \"3.29\", \"bbox\": [165, 78, 181, 86]}, {\"cell\": \"2.76\", \"bbox\": [206, 78, 222, 86]}, {\"cell\": \"26.98\", \"bbox\": [252, 78, 272, 86]}, {\"cell\": \"2.62\", \"bbox\": [293, 78, 309, 86]}, {\"cell\": \"4.04\", \"bbox\": [334, 78, 350, 86]}, {\"cell\": \"25.27\", \"bbox\": [374, 78, 393, 86]}, {\"cell\": \"nd\", \"bbox\": [411, 78, 421, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 78, 465, 86]}, {\"cell\": \"28.86\", \"bbox\": [489, 78, 508, 86]}, {\"cell\": \"Second<sup>*</sup>\", \"bbox\": [1, 89, 28, 98]}, {\"cell\": \"9.01\", \"bbox\": [50, 89, 66, 98]}, {\"cell\": \"1.71\", \"bbox\": [92, 89, 107, 98]}, {\"cell\": \"30.51\", \"bbox\": [131, 89, 150, 98]}, {\"cell\": \"6.78\", \"bbox\": [165, 89, 181, 98]}, {\"cell\": \"2.90\", \"bbox\": [206, 89, 222, 98]}, {\"cell\": \"26.82\", \"bbox\": [252, 89, 272, 98]}, {\"cell\": \"3.97\", \"bbox\": [293, 89, 309, 98]}, {\"cell\": \"4.05\", \"bbox\": [334, 89, 350, 98]}, {\"cell\": \"26.11\", \"bbox\": [374, 89, 393, 98]}, {\"cell\": \"0.33\", \"bbox\": [408, 89, 424, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 89, 465, 98]}, {\"cell\": \"29.29\", \"bbox\": [489, 89, 508, 98]}, {\"cell\": \"Third<sup>*</sup>\", \"bbox\": [1, 101, 20, 109]}, {\"cell\": \"11.45\", \"bbox\": [48, 101, 68, 109]}, {\"cell\": \"1.81\", \"bbox\": [92, 101, 107, 109]}, {\"cell\": \"30.50\", \"bbox\": [131, 101, 150, 109]}, {\"cell\": \"10.48\", \"bbox\": [163, 101, 183, 109]}, {\"cell\": \"3.03\", \"bbox\": [206, 101, 222, 109]}, {\"cell\": \"27.21\", \"bbox\": [252, 101, 272, 109]}, {\"cell\": \"5.53\", \"bbox\": [293, 101, 309, 109]}, {\"cell\": \"3.83\", \"bbox\": [334, 101, 350, 109]}, {\"cell\": \"26.02\", \"bbox\": [374, 101, 393, 109]}, {\"cell\": \"1.59\", \"bbox\": [408, 101, 424, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 101, 465, 109]}, {\"cell\": \"29.03\", \"bbox\": [489, 101, 508, 109]}, {\"cell\": \"Fourth<sup>*</sup>\", \"bbox\": [1, 113, 24, 121]}, {\"cell\": \"16.17\", \"bbox\": [48, 113, 68, 121]}, {\"cell\": \"1.59\", \"bbox\": [92, 113, 107, 121]}, {\"cell\": \"30.49\", \"bbox\": [131, 113, 150, 121]}, {\"cell\": \"14.14\", \"bbox\": [163, 113, 183, 121]}, {\"cell\": \"2.97\", \"bbox\": [206, 113, 222, 121]}, {\"cell\": \"27.28\", \"bbox\": [252, 113, 272, 121]}, {\"cell\": \"7.35\", \"bbox\": [293, 113, 309, 121]}, {\"cell\": \"3.77\", \"bbox\": [334, 113, 350, 121]}, {\"cell\": \"26.17\", \"bbox\": [374, 113, 393, 121]}, {\"cell\": \"2.69\", \"bbox\": [408, 113, 424, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 113, 465, 121]}, {\"cell\": \"28.87\", \"bbox\": [489, 113, 508, 121]}, {\"cell\": \"Fifth<sup>*</sup>\", \"bbox\": [1, 125, 18, 133]}, {\"cell\": \"20.07\", \"bbox\": [48, 125, 68, 133]}, {\"cell\": \"1.52\", \"bbox\": [92, 125, 107, 133]}, {\"cell\": \"30.13\", \"bbox\": [131, 125, 150, 133]}, {\"cell\": \"19.06\", \"bbox\": [163, 125, 183, 133]}, {\"cell\": \"2.60\", \"bbox\": [206, 125, 222, 133]}, {\"cell\": \"26.86\", \"bbox\": [252, 125, 272, 133]}, {\"cell\": \"9.02\", \"bbox\": [293, 125, 309, 133]}, {\"cell\": \"3.70\", \"bbox\": [334, 125, 350, 133]}, {\"cell\": \"25.87\", \"bbox\": [374, 125, 393, 133]}, {\"cell\": \"3.94\", \"bbox\": [408, 125, 424, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 125, 465, 133]}, {\"cell\": \"29.42\", \"bbox\": [489, 125, 508, 133]}, {\"cell\": \"Mean\", \"bbox\": [1, 148, 19, 156]}, {\"cell\": \"10.33\", \"bbox\": [48, 148, 68, 156]}, {\"cell\": \"1.87\", \"bbox\": [92, 148, 107, 156]}, {\"cell\": \"30.38\", \"bbox\": [131, 148, 150, 156]}, {\"cell\": \"9.15\", \"bbox\": [165, 148, 181, 156]}, {\"cell\": \"2.77\", \"bbox\": [206, 148, 222, 156]}, {\"cell\": \"26.80\", \"bbox\": [252, 148, 272, 156]}, {\"cell\": \"4.95\", \"bbox\": [293, 148, 309, 156]}, {\"cell\": \"3.94\", \"bbox\": [334, 148, 350, 156]}, {\"cell\": \"25.76\", \"bbox\": [374, 148, 393, 156]}, {\"cell\": \"2.14\", \"bbox\": [408, 148, 424, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 148, 465, 156]}, {\"cell\": \"28.95\", \"bbox\": [489, 148, 508, 156]}, {\"cell\": \"SD<sup>§</sup>\", \"bbox\": [1, 158, 15, 168]}, {\"cell\": \"7.18\", \"bbox\": [50, 160, 66, 168]}, {\"cell\": \"0.14\", \"bbox\": [92, 160, 107, 168]}, {\"cell\": \"0.22\", \"bbox\": [133, 160, 148, 168]}, {\"cell\": \"6.77\", \"bbox\": [165, 160, 181, 168]}, {\"cell\": \"0.26\", \"bbox\": [206, 160, 222, 168]}, {\"cell\": \"0.60\", \"bbox\": [254, 160, 270, 168]}, {\"cell\": \"2.94\", \"bbox\": [293, 160, 309, 168]}, {\"cell\": \"0.21\", \"bbox\": [334, 160, 350, 168]}, {\"cell\": \"0.45\", \"bbox\": [376, 160, 391, 168]}, {\"cell\": \"1.54\", \"bbox\": [408, 160, 424, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 160, 465, 168]}, {\"cell\": \"0.42\", \"bbox\": [491, 160, 506, 168]}, {\"cell\": \"CV%<sup>†</sup>\", \"bbox\": [1, 170, 21, 180]}, {\"cell\": \"69.56\", \"bbox\": [48, 172, 68, 180]}, {\"cell\": \"21.77\", \"bbox\": [90, 172, 109, 180]}, {\"cell\": \"0.72\", \"bbox\": [133, 172, 148, 180]}, {\"cell\": \"74.05\", \"bbox\": [163, 172, 183, 180]}, {\"cell\": \"9.51\", \"bbox\": [206, 172, 222, 180]}, {\"cell\": \"2.24\", \"bbox\": [254, 172, 270, 180]}, {\"cell\": \"59.39\", \"bbox\": [291, 172, 311, 180]}, {\"cell\": \"5.25\", \"bbox\": [334, 172, 350, 180]}, {\"cell\": \"1.73\", \"bbox\": [376, 172, 391, 180]}, {\"cell\": \"72.20\", \"bbox\": [406, 172, 426, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 172, 467, 180]}, {\"cell\": \"1.44\", \"bbox\": [491, 172, 506, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5065974_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}286{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Labels</b></td><td><b>Interviewees</b></td><td><b>M ≥15yPP</b></td><td><b>M ≥15y PP</b></td><td><b>F ≥15yPP</b></td><td><b>F ≥15yPP</b></td><td><b>M ≥15ySH</b></td><td><b>M ≥15ySH</b></td><td><b>M ≥15ySH</b></td><td><b>F ≥5y, PP</b></td><td><b>M ≥15ySH</b></td><td><b>M ≥5y, PP</b></td><td><b>M ≥10yPP</b></td><td><b>F ≥5yPP</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">Knowledge_Skills_Improvement</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td><b>10</b></td></tr><tr><td colspan=\\\"2\\\">Experiential_Learning</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>9</b></td></tr><tr><td colspan=\\\"2\\\">Minimal_Lecturing</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>7</b></td></tr><tr><td colspan=\\\"2\\\">Problem-based_Learning</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td><b>7</b></td></tr><tr><td colspan=\\\"2\\\">Creative_Interaction</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>6</b></td></tr><tr><td colspan=\\\"2\\\">Critical_Reflection</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td><b>6</b></td></tr><tr><td colspan=\\\"2\\\">Experience_Sharing</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td><b>6</b></td></tr><tr><td colspan=\\\"2\\\">Participation_Criteria</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>6</b></td></tr><tr><td colspan=\\\"2\\\">Peer_Learning</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td><b>6</b></td></tr><tr><td colspan=\\\"2\\\">Collaborative_Context</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td><b>5</b></td></tr><tr><td colspan=\\\"2\\\">Creative_ Feedback</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>5</b></td></tr><tr><td colspan=\\\"2\\\">Friendly_Context</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>5</b></td></tr><tr><td colspan=\\\"2\\\">Active_Participation</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>3</b></td></tr><tr><td colspan=\\\"2\\\">Casual_Atmosphere</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>3</b></td></tr><tr><td colspan=\\\"2\\\">Family_Friendly</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>3</b></td></tr><tr><td colspan=\\\"2\\\">Fruitful_Discussion</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>3</b></td></tr><tr><td colspan=\\\"2\\\">Knowledge_Sharing</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>3</b></td></tr><tr><td colspan=\\\"2\\\">Practice_Improvement</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>3</b></td></tr><tr><td colspan=\\\"2\\\">Prior_Knoweledge_Stimulation</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td><b>3</b></td></tr><tr><td colspan=\\\"2\\\">Practice_Oriented</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>2</b></td></tr><tr><td colspan=\\\"2\\\">Socializing</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>2</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Labels</b>\", \"bbox\": [0, 4, 24, 13]}, {\"cell\": \"<b>Interviewees</b>\", \"bbox\": [47, 4, 92, 13]}, {\"cell\": \"<b>M ≥15yPP</b>\", \"bbox\": [115, 4, 151, 13]}, {\"cell\": \"<b>M ≥15y PP</b>\", \"bbox\": [158, 4, 197, 13]}, {\"cell\": \"<b>F ≥15yPP</b>\", \"bbox\": [204, 4, 238, 13]}, {\"cell\": \"<b>F ≥15yPP</b>\", \"bbox\": [245, 4, 279, 13]}, {\"cell\": \"<b>M ≥15ySH</b>\", \"bbox\": [285, 4, 323, 13]}, {\"cell\": \"<b>M ≥15ySH</b>\", \"bbox\": [329, 4, 367, 13]}, {\"cell\": \"<b>M ≥15ySH</b>\", \"bbox\": [373, 4, 411, 13]}, {\"cell\": \"<b>F ≥5y, PP</b>\", \"bbox\": [418, 4, 452, 13]}, {\"cell\": \"<b>M ≥15ySH</b>\", \"bbox\": [459, 4, 496, 13]}, {\"cell\": \"<b>M ≥5y, PP</b>\", \"bbox\": [502, 4, 539, 13]}, {\"cell\": \"<b>M ≥10yPP</b>\", \"bbox\": [546, 4, 582, 13]}, {\"cell\": \"<b>F ≥5yPP</b>\", \"bbox\": [589, 4, 619, 13]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [626, 4, 645, 13]}, {\"cell\": \"Knowledge_Skills_Improvement\", \"bbox\": [1, 17, 105, 27]}, {\"cell\": \"1\", \"bbox\": [115, 17, 120, 27]}, {\"cell\": \"1\", \"bbox\": [158, 17, 164, 27]}, {\"cell\": \"1\", \"bbox\": [204, 17, 210, 27]}, {\"cell\": \"1\", \"bbox\": [245, 17, 250, 27]}, {\"cell\": \"1\", \"bbox\": [285, 17, 291, 27]}, {\"cell\": \"1\", \"bbox\": [329, 17, 335, 27]}, {\"cell\": \"1\", \"bbox\": [373, 17, 379, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [459, 17, 464, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [546, 17, 552, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [589, 17, 595, 27]}, {\"cell\": \"<b>10</b>\", \"bbox\": [626, 17, 636, 27]}, {\"cell\": \"Experiential_Learning\", \"bbox\": [1, 31, 71, 41]}, {\"cell\": \"1\", \"bbox\": [115, 31, 120, 41]}, {\"cell\": \"1\", \"bbox\": [158, 31, 164, 41]}, {\"cell\": \"1\", \"bbox\": [204, 31, 210, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [329, 31, 335, 41]}, {\"cell\": \"1\", \"bbox\": [373, 31, 379, 41]}, {\"cell\": \"1\", \"bbox\": [418, 31, 423, 41]}, {\"cell\": \"1\", \"bbox\": [459, 31, 464, 41]}, {\"cell\": \"1\", \"bbox\": [502, 31, 508, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [589, 31, 595, 41]}, {\"cell\": \"<b>9</b>\", \"bbox\": [626, 31, 632, 41]}, {\"cell\": \"Minimal_Lecturing\", \"bbox\": [1, 45, 62, 55]}, {\"cell\": \"1\", \"bbox\": [115, 45, 120, 55]}, {\"cell\": \"1\", \"bbox\": [158, 45, 164, 55]}, {\"cell\": \"1\", \"bbox\": [204, 45, 210, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [285, 45, 291, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [418, 45, 423, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [502, 45, 508, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [589, 45, 595, 55]}, {\"cell\": \"<b>7</b>\", \"bbox\": [626, 45, 632, 55]}, {\"cell\": \"Problem-based_Learning\", \"bbox\": [1, 59, 82, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [204, 59, 210, 69]}, {\"cell\": \"1\", \"bbox\": [245, 59, 250, 69]}, {\"cell\": \"1\", \"bbox\": [285, 59, 291, 69]}, {\"cell\": \"1\", \"bbox\": [329, 59, 335, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [459, 59, 464, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [546, 59, 552, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [589, 59, 595, 69]}, {\"cell\": \"<b>7</b>\", \"bbox\": [626, 59, 632, 69]}, {\"cell\": \"Creative_Interaction\", \"bbox\": [1, 73, 66, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [158, 73, 164, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [245, 73, 250, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [373, 73, 379, 83]}, {\"cell\": \"1\", \"bbox\": [418, 73, 423, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [502, 73, 508, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [589, 73, 595, 83]}, {\"cell\": \"<b>6</b>\", \"bbox\": [626, 73, 632, 83]}, {\"cell\": \"Critical_Reflection\", \"bbox\": [1, 87, 59, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [204, 87, 210, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [373, 87, 379, 97]}, {\"cell\": \"1\", \"bbox\": [418, 87, 423, 97]}, {\"cell\": \"1\", \"bbox\": [459, 87, 464, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [546, 87, 552, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [589, 87, 595, 97]}, {\"cell\": \"<b>6</b>\", \"bbox\": [626, 87, 632, 97]}, {\"cell\": \"Experience_Sharing\", \"bbox\": [1, 101, 65, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [204, 101, 210, 111]}, {\"cell\": \"1\", \"bbox\": [245, 101, 250, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [459, 101, 464, 111]}, {\"cell\": \"1\", \"bbox\": [502, 101, 508, 111]}, {\"cell\": \"1\", \"bbox\": [546, 101, 552, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [589, 101, 595, 111]}, {\"cell\": \"<b>6</b>\", \"bbox\": [626, 101, 632, 111]}, {\"cell\": \"Participation_Criteria\", \"bbox\": [1, 115, 68, 125]}, {\"cell\": \"1\", \"bbox\": [115, 115, 120, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [204, 115, 210, 125]}, {\"cell\": \"1\", \"bbox\": [245, 115, 250, 125]}, {\"cell\": \"1\", \"bbox\": [285, 115, 291, 125]}, {\"cell\": \"1\", \"bbox\": [329, 115, 335, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [459, 115, 464, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>6</b>\", \"bbox\": [626, 115, 632, 125]}, {\"cell\": \"Peer_Learning\", \"bbox\": [1, 129, 48, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [245, 129, 250, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [373, 129, 379, 139]}, {\"cell\": \"1\", \"bbox\": [418, 129, 423, 139]}, {\"cell\": \"1\", \"bbox\": [459, 129, 464, 139]}, {\"cell\": \"1\", \"bbox\": [502, 129, 508, 139]}, {\"cell\": \"1\", \"bbox\": [546, 129, 552, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>6</b>\", \"bbox\": [626, 129, 632, 139]}, {\"cell\": \"Collaborative_Context\", \"bbox\": [1, 143, 73, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [158, 143, 164, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [245, 143, 250, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [459, 143, 464, 153]}, {\"cell\": \"1\", \"bbox\": [502, 143, 508, 153]}, {\"cell\": \"1\", \"bbox\": [546, 143, 552, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>5</b>\", \"bbox\": [626, 143, 632, 153]}, {\"cell\": \"Creative_ Feedback\", \"bbox\": [1, 157, 65, 167]}, {\"cell\": \"1\", \"bbox\": [115, 157, 120, 167]}, {\"cell\": \"1\", \"bbox\": [158, 157, 164, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [285, 157, 291, 167]}, {\"cell\": \"1\", \"bbox\": [329, 157, 335, 167]}, {\"cell\": \"1\", \"bbox\": [373, 157, 379, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>5</b>\", \"bbox\": [626, 157, 632, 167]}, {\"cell\": \"Friendly_Context\", \"bbox\": [1, 171, 57, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [245, 171, 250, 181]}, {\"cell\": \"1\", \"bbox\": [285, 171, 291, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [373, 171, 379, 181]}, {\"cell\": \"1\", \"bbox\": [418, 171, 423, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [502, 171, 508, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>5</b>\", \"bbox\": [626, 171, 632, 181]}, {\"cell\": \"Active_Participation\", \"bbox\": [1, 185, 66, 195]}, {\"cell\": \"1\", \"bbox\": [115, 185, 120, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [245, 185, 250, 195]}, {\"cell\": \"1\", \"bbox\": [285, 185, 291, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>3</b>\", \"bbox\": [626, 185, 632, 195]}, {\"cell\": \"Casual_Atmosphere\", \"bbox\": [1, 199, 66, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [245, 199, 250, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [329, 199, 335, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [502, 199, 508, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>3</b>\", \"bbox\": [626, 199, 632, 209]}, {\"cell\": \"Family_Friendly\", \"bbox\": [1, 213, 52, 223]}, {\"cell\": \"1\", \"bbox\": [115, 213, 120, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [204, 213, 210, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [589, 213, 595, 223]}, {\"cell\": \"<b>3</b>\", \"bbox\": [626, 213, 632, 223]}, {\"cell\": \"Fruitful_Discussion\", \"bbox\": [1, 227, 62, 237]}, {\"cell\": \"1\", \"bbox\": [115, 227, 120, 237]}, {\"cell\": \"1\", \"bbox\": [158, 227, 164, 237]}, {\"cell\": \"1\", \"bbox\": [204, 227, 210, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>3</b>\", \"bbox\": [626, 227, 632, 237]}, {\"cell\": \"Knowledge_Sharing\", \"bbox\": [1, 241, 67, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [329, 241, 335, 251]}, {\"cell\": \"1\", \"bbox\": [373, 241, 379, 251]}, {\"cell\": \"1\", \"bbox\": [418, 241, 423, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>3</b>\", \"bbox\": [626, 241, 632, 251]}, {\"cell\": \"Practice_Improvement\", \"bbox\": [1, 255, 75, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [158, 255, 164, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [285, 255, 291, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [418, 255, 423, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>3</b>\", \"bbox\": [626, 255, 632, 265]}, {\"cell\": \"Prior_Knoweledge_Stimulation\", \"bbox\": [1, 269, 101, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [329, 269, 335, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [459, 269, 464, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [546, 269, 552, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>3</b>\", \"bbox\": [626, 269, 632, 279]}, {\"cell\": \"Practice_Oriented\", \"bbox\": [1, 283, 59, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [285, 283, 291, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [502, 283, 508, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>2</b>\", \"bbox\": [626, 283, 632, 293]}, {\"cell\": \"Socializing\", \"bbox\": [1, 297, 36, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [418, 297, 423, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [502, 297, 508, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>2</b>\", \"bbox\": [626, 297, 632, 307]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4324803_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}287{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"3\\\"><b>Association of GRS with T2D prevalence at enrollment</b></td></tr><tr><td><b>Study</b></td><td><b>OR (95% CI, tertile 3 vs. tertile 1; P-value)</b></td><td><b>P for trend</b></td></tr></thead><tbody><tr><td> ARIC</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> FOS</td><td>[EMPTY_CELL]</td><td>--</td></tr><tr><td> MESA</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td>Pooled</td><td>[EMPTY_CELL]</td><td>1.5×10<sup>−10</sup></td></tr><tr><td colspan=\\\"3\\\">Association of GRS with T2D prevalence at the end of follow-up</td></tr><tr><td>Study</td><td>[EMPTY_CELL]</td><td>P for trend</td></tr><tr><td> ARIC</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> FOS</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> MESA</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td>Pooled</td><td>[EMPTY_CELL]</td><td>4.9×10<sup>−12</sup></td></tr><tr><td colspan=\\\"3\\\">Association of GRS with incident T2D</td></tr><tr><td>Study</td><td>[EMPTY_CELL]</td><td>P for trend</td></tr><tr><td> ARIC</td><td>[EMPTY_CELL]</td><td>0.0008</td></tr><tr><td> FOS</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> MESA</td><td>[EMPTY_CELL]</td><td>0.26</td></tr><tr><td>Pooled</td><td>[EMPTY_CELL]</td><td>1.5×10<sup>−14</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Association of GRS with T2D prevalence at enrollment</b>\", \"bbox\": [30, 4, 208, 15]}, {\"cell\": \"<b>Study</b>\", \"bbox\": [7, 19, 27, 30]}, {\"cell\": \"<b>OR (95% CI, tertile 3 vs. tertile 1; P-value)</b>\", \"bbox\": [46, 19, 185, 30]}, {\"cell\": \"<b>P for trend</b>\", \"bbox\": [194, 19, 232, 30]}, {\"cell\": \" ARIC\", \"bbox\": [14, 34, 34, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 34, 131, 45]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 34, 221, 45]}, {\"cell\": \" FOS\", \"bbox\": [14, 49, 30, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 49, 53, 60]}, {\"cell\": \"--\", \"bbox\": [194, 49, 201, 60]}, {\"cell\": \" MESA\", \"bbox\": [14, 64, 37, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 64, 131, 75]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 64, 221, 75]}, {\"cell\": \"Pooled\", \"bbox\": [7, 79, 29, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 79, 131, 90]}, {\"cell\": \"1.5×10<sup>−10</sup>\", \"bbox\": [194, 79, 226, 90]}, {\"cell\": \"Association of GRS with T2D prevalence at the end of follow-up\", \"bbox\": [7, 95, 204, 105]}, {\"cell\": \"Study\", \"bbox\": [7, 110, 26, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 110, 177, 120]}, {\"cell\": \"P for trend\", \"bbox\": [194, 110, 228, 120]}, {\"cell\": \" ARIC\", \"bbox\": [14, 125, 34, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 125, 131, 135]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 125, 221, 135]}, {\"cell\": \" FOS\", \"bbox\": [14, 140, 30, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 140, 131, 150]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 140, 221, 150]}, {\"cell\": \" MESA\", \"bbox\": [14, 155, 37, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 155, 131, 165]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 155, 221, 165]}, {\"cell\": \"Pooled\", \"bbox\": [7, 170, 29, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 170, 131, 180]}, {\"cell\": \"4.9×10<sup>−12</sup>\", \"bbox\": [194, 170, 226, 181]}, {\"cell\": \"Association of GRS with incident T2D\", \"bbox\": [7, 186, 125, 196]}, {\"cell\": \"Study\", \"bbox\": [7, 201, 26, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 201, 177, 211]}, {\"cell\": \"P for trend\", \"bbox\": [194, 201, 228, 211]}, {\"cell\": \" ARIC\", \"bbox\": [14, 216, 34, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 216, 131, 226]}, {\"cell\": \"0.0008\", \"bbox\": [194, 216, 217, 226]}, {\"cell\": \" FOS\", \"bbox\": [14, 231, 30, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 231, 131, 241]}, {\"cell\": \"<0.0001\", \"bbox\": [194, 231, 221, 241]}, {\"cell\": \" MESA\", \"bbox\": [14, 246, 37, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 246, 131, 256]}, {\"cell\": \"0.26\", \"bbox\": [194, 246, 209, 256]}, {\"cell\": \"Pooled\", \"bbox\": [7, 261, 29, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 261, 131, 271]}, {\"cell\": \"1.5×10<sup>−14</sup>\", \"bbox\": [194, 261, 226, 272]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3956676_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}288{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Analyte</b></td><td rowspan=\\\"3\\\"><b>PAH</b></td><td rowspan=\\\"3\\\"><b>Abbreviation</b></td><td><b>Measuring range (ng/L)</b></td><td><b>LOD (ng/L)</b></td><td><b>LOQ (ng/L)</b></td></tr><tr><td><b>0.02–560</b></td><td><b>0.025</b></td><td><b>0.075</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Naphthalene</td><td>NAP</td><td>0.034–560</td><td>0.034</td><td>1,02</td></tr><tr><td>[EMPTY_CELL]</td><td>Acenaphthylene</td><td>ACY</td><td>0.0041–560</td><td>0.0041</td><td>0.0123</td></tr><tr><td>[EMPTY_CELL]</td><td>Acenaphthene</td><td>ACE</td><td>0.0041–560</td><td>0.0041</td><td>0.0123</td></tr><tr><td>[EMPTY_CELL]</td><td>Fluorene</td><td>FLU</td><td>0.0018–560</td><td>0.0018</td><td>0.0054</td></tr><tr><td>[EMPTY_CELL]</td><td>Phenanthrene</td><td>PHE</td><td>0.0025–560</td><td>0.0025</td><td>0.0075</td></tr><tr><td>[EMPTY_CELL]</td><td>Anthracene</td><td>ANT</td><td>0.0078–560</td><td>0.0078</td><td>0.0234</td></tr><tr><td>[EMPTY_CELL]</td><td>Fluoranthene</td><td>FLTH</td><td>0.014–560</td><td>0.014</td><td>0.042</td></tr><tr><td>[EMPTY_CELL]</td><td>Pyrene</td><td>PYR</td><td>0.028–560</td><td>0.028</td><td>0.084</td></tr><tr><td>[EMPTY_CELL]</td><td>Chrysene</td><td>CHR</td><td>0.0022–560</td><td>0.0022</td><td>0.0066</td></tr><tr><td>[EMPTY_CELL]</td><td>Benzo(b)fluoranthene</td><td>BbF</td><td>0.014–560</td><td>0.014</td><td>0.042</td></tr><tr><td>[EMPTY_CELL]</td><td>Benzo(k)fluoranthene</td><td>BkF</td><td>0.0023–560</td><td>0.0023</td><td>0.0069</td></tr><tr><td>[EMPTY_CELL]</td><td>Benzo(a)pyrene</td><td>BaP</td><td>0.0055–560</td><td>0.0055</td><td>0.0165</td></tr><tr><td>[EMPTY_CELL]</td><td>Benzo(a)anthracene</td><td>BaA</td><td>0.0017–560</td><td>0.0017</td><td>0.0051</td></tr><tr><td>[EMPTY_CELL]</td><td>Indeno(1,2,3-cd)pyrene</td><td>IP</td><td>0.43–560</td><td>0.43</td><td>1.29</td></tr><tr><td>[EMPTY_CELL]</td><td>Dibenz(a,h)anthracene</td><td>DahA</td><td>0.014–560</td><td>0.014</td><td>0.042</td></tr><tr><td>[EMPTY_CELL]</td><td>Benzo(ghi)perylene</td><td>B(ghi)PER</td><td>0.014–560</td><td>0.022</td><td>0.066</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Analyte</b>\", \"bbox\": [7, 21, 46, 33]}, {\"cell\": \"<b>PAH</b>\", \"bbox\": [102, 21, 127, 33]}, {\"cell\": \"<b>Abbreviation</b>\", \"bbox\": [180, 21, 244, 33]}, {\"cell\": \"<b>Measuring range (ng/L)</b>\", \"bbox\": [260, 6, 342, 32]}, {\"cell\": \"<b>LOD (ng/L)</b>\", \"bbox\": [350, 6, 381, 32]}, {\"cell\": \"<b>LOQ (ng/L)</b>\", \"bbox\": [390, 6, 421, 32]}, {\"cell\": \"<b>0.02–560</b>\", \"bbox\": [280, 36, 323, 48]}, {\"cell\": \"<b>0.025</b>\", \"bbox\": [352, 36, 379, 48]}, {\"cell\": \"<b>0.075</b>\", \"bbox\": [392, 36, 419, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 53, 12, 65]}, {\"cell\": \"Naphthalene\", \"bbox\": [54, 53, 111, 65]}, {\"cell\": \"NAP\", \"bbox\": [205, 53, 229, 65]}, {\"cell\": \"0.034–560\", \"bbox\": [277, 53, 326, 65]}, {\"cell\": \"0.034\", \"bbox\": [352, 53, 379, 65]}, {\"cell\": \"1,02\", \"bbox\": [395, 53, 416, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 68, 12, 80]}, {\"cell\": \"Acenaphthylene\", \"bbox\": [54, 68, 127, 80]}, {\"cell\": \"ACY\", \"bbox\": [204, 68, 230, 80]}, {\"cell\": \"0.0041–560\", \"bbox\": [274, 68, 328, 80]}, {\"cell\": \"0.0041\", \"bbox\": [349, 68, 382, 80]}, {\"cell\": \"0.0123\", \"bbox\": [389, 68, 422, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 83, 12, 95]}, {\"cell\": \"Acenaphthene\", \"bbox\": [54, 83, 119, 95]}, {\"cell\": \"ACE\", \"bbox\": [205, 83, 229, 95]}, {\"cell\": \"0.0041–560\", \"bbox\": [274, 83, 328, 95]}, {\"cell\": \"0.0041\", \"bbox\": [349, 83, 382, 95]}, {\"cell\": \"0.0123\", \"bbox\": [389, 83, 422, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 98, 12, 110]}, {\"cell\": \"Fluorene\", \"bbox\": [54, 98, 95, 110]}, {\"cell\": \"FLU\", \"bbox\": [206, 98, 228, 110]}, {\"cell\": \"0.0018–560\", \"bbox\": [274, 98, 328, 110]}, {\"cell\": \"0.0018\", \"bbox\": [349, 98, 382, 110]}, {\"cell\": \"0.0054\", \"bbox\": [389, 98, 422, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 113, 12, 125]}, {\"cell\": \"Phenanthrene\", \"bbox\": [54, 113, 116, 125]}, {\"cell\": \"PHE\", \"bbox\": [206, 113, 228, 125]}, {\"cell\": \"0.0025–560\", \"bbox\": [274, 113, 328, 125]}, {\"cell\": \"0.0025\", \"bbox\": [349, 113, 382, 125]}, {\"cell\": \"0.0075\", \"bbox\": [389, 113, 422, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 128, 12, 140]}, {\"cell\": \"Anthracene\", \"bbox\": [54, 128, 106, 140]}, {\"cell\": \"ANT\", \"bbox\": [205, 128, 229, 140]}, {\"cell\": \"0.0078–560\", \"bbox\": [274, 128, 328, 140]}, {\"cell\": \"0.0078\", \"bbox\": [349, 128, 382, 140]}, {\"cell\": \"0.0234\", \"bbox\": [389, 128, 422, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 143, 12, 155]}, {\"cell\": \"Fluoranthene\", \"bbox\": [54, 143, 114, 155]}, {\"cell\": \"FLTH\", \"bbox\": [202, 143, 232, 155]}, {\"cell\": \"0.014–560\", \"bbox\": [277, 143, 326, 155]}, {\"cell\": \"0.014\", \"bbox\": [352, 143, 379, 155]}, {\"cell\": \"0.042\", \"bbox\": [392, 143, 419, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 158, 12, 170]}, {\"cell\": \"Pyrene\", \"bbox\": [54, 158, 86, 170]}, {\"cell\": \"PYR\", \"bbox\": [205, 158, 229, 170]}, {\"cell\": \"0.028–560\", \"bbox\": [277, 158, 326, 170]}, {\"cell\": \"0.028\", \"bbox\": [352, 158, 379, 170]}, {\"cell\": \"0.084\", \"bbox\": [392, 158, 419, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 173, 12, 185]}, {\"cell\": \"Chrysene\", \"bbox\": [54, 173, 97, 185]}, {\"cell\": \"CHR\", \"bbox\": [205, 173, 229, 185]}, {\"cell\": \"0.0022–560\", \"bbox\": [274, 173, 328, 185]}, {\"cell\": \"0.0022\", \"bbox\": [349, 173, 382, 185]}, {\"cell\": \"0.0066\", \"bbox\": [389, 173, 422, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 188, 17, 200]}, {\"cell\": \"Benzo(b)fluoranthene\", \"bbox\": [54, 188, 152, 200]}, {\"cell\": \"BbF\", \"bbox\": [206, 188, 227, 200]}, {\"cell\": \"0.014–560\", \"bbox\": [277, 188, 326, 200]}, {\"cell\": \"0.014\", \"bbox\": [352, 188, 379, 200]}, {\"cell\": \"0.042\", \"bbox\": [392, 188, 419, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 203, 17, 215]}, {\"cell\": \"Benzo(k)fluoranthene\", \"bbox\": [54, 203, 152, 215]}, {\"cell\": \"BkF\", \"bbox\": [206, 203, 227, 215]}, {\"cell\": \"0.0023–560\", \"bbox\": [274, 203, 328, 215]}, {\"cell\": \"0.0023\", \"bbox\": [349, 203, 382, 215]}, {\"cell\": \"0.0069\", \"bbox\": [389, 203, 422, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 218, 17, 230]}, {\"cell\": \"Benzo(a)pyrene\", \"bbox\": [54, 218, 126, 230]}, {\"cell\": \"BaP\", \"bbox\": [207, 218, 227, 230]}, {\"cell\": \"0.0055–560\", \"bbox\": [274, 218, 328, 230]}, {\"cell\": \"0.0055\", \"bbox\": [349, 218, 382, 230]}, {\"cell\": \"0.0165\", \"bbox\": [389, 218, 422, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 233, 17, 245]}, {\"cell\": \"Benzo(a)anthracene\", \"bbox\": [54, 233, 144, 245]}, {\"cell\": \"BaA\", \"bbox\": [206, 233, 228, 245]}, {\"cell\": \"0.0017–560\", \"bbox\": [274, 233, 328, 245]}, {\"cell\": \"0.0017\", \"bbox\": [349, 233, 382, 245]}, {\"cell\": \"0.0051\", \"bbox\": [389, 233, 422, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 248, 17, 260]}, {\"cell\": \"Indeno(1,2,3-cd)pyrene\", \"bbox\": [56, 248, 162, 260]}, {\"cell\": \"IP\", \"bbox\": [211, 248, 223, 260]}, {\"cell\": \"0.43–560\", \"bbox\": [280, 248, 323, 260]}, {\"cell\": \"0.43\", \"bbox\": [355, 248, 376, 260]}, {\"cell\": \"1.29\", \"bbox\": [395, 248, 416, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 263, 17, 275]}, {\"cell\": \"Dibenz(a,h)anthracene\", \"bbox\": [54, 263, 156, 275]}, {\"cell\": \"DahA\", \"bbox\": [203, 263, 231, 275]}, {\"cell\": \"0.014–560\", \"bbox\": [277, 263, 326, 275]}, {\"cell\": \"0.014\", \"bbox\": [352, 263, 379, 275]}, {\"cell\": \"0.042\", \"bbox\": [392, 263, 419, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 278, 17, 290]}, {\"cell\": \"Benzo(ghi)perylene\", \"bbox\": [54, 278, 143, 290]}, {\"cell\": \"B(ghi)PER\", \"bbox\": [192, 278, 242, 290]}, {\"cell\": \"0.014–560\", \"bbox\": [277, 278, 326, 290]}, {\"cell\": \"0.022\", \"bbox\": [352, 278, 379, 290]}, {\"cell\": \"0.066\", \"bbox\": [392, 278, 419, 290]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3252016_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}289{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Age <41n (%)</b></td><td><b>Age 41 to 50n (%)</b></td><td><b>Age 51 to 60n (%)</b></td><td><b>Age >60n (%)</b></td><td><b>Totaln (%)</b></td></tr></thead><tbody><tr><td>Participants who indicated age</td><td>489 (26.8)</td><td>493 (27.0)</td><td>449 (24.6)</td><td>395 (21.6)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Gender (<i>n</i> = 1826)<sup>a</sup></td></tr><tr><td> Female</td><td>114 (23.3)</td><td>71 (14.4)</td><td>56 (12.5)</td><td>9 (2.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>375 (76.7)</td><td>422 (85.6)</td><td>393 (87.5)</td><td>386 (97.7)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Tenure (<i>n</i> = 1826)<sup>a</sup></td></tr><tr><td>< 6 years</td><td>165 (33.7)</td><td>17 (3.5)</td><td>8 (1.8)</td><td>1 (0.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> 6–10 years</td><td>206 (42.1)</td><td>94 (19.1)</td><td>15 (3.3)</td><td>4 (1.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> 11–15 years</td><td>100 (20.5)</td><td>140 (28.4)</td><td>56 (12.5)</td><td>12 (3.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> 16–20 years</td><td>18 (3.7)</td><td>168 (34.1)</td><td>85 (18.9)</td><td>30 (7.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> 21–25 years</td><td>0 (0.0)</td><td>68 (13.8)</td><td>110 (24.5)</td><td>43 (10.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>> 25 years</td><td>0 (0.0)</td><td>6 (1.2)</td><td>175 (39.0)</td><td>305 (77.2)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Recently Worked<sup>b</sup> (<i>n</i> = 1826)<sup>a</sup></td></tr><tr><td> No</td><td>20 (4.1)</td><td>31 (6.3)</td><td>53 (11.8)</td><td>308 (78.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>469 (95.9)</td><td>462 (93.7)</td><td>396 (88.2)</td><td>87 (22.0)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Education (<i>n</i> = 1817)<sup>a</sup></td></tr><tr><td> Less than high school diploma</td><td>2 (0.4)</td><td>1 (0.2)</td><td>3 (0.7)</td><td>2 (0.5)</td><td>[EMPTY_CELL]</td></tr><tr><td> High school or GED</td><td>60 (12.4)</td><td>72 (14.7)</td><td>49 (10.9)</td><td>38 (9.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Some college, no degree</td><td>85 (17.6)</td><td>82 (16.7)</td><td>53 (11.8)</td><td>81 (20.5)</td><td>[EMPTY_CELL]</td></tr><tr><td> Two-year college degree</td><td>62 (12.8)</td><td>47 (9.6)</td><td>27 (6.0)</td><td>26 (6.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Four-year college degree</td><td>217 (44.9)</td><td>221 (45.0)</td><td>226 (50.5)</td><td>148 (37.5)</td><td>[EMPTY_CELL]</td></tr><tr><td> Graduate education</td><td>57 (11.8)</td><td>68 (13.9)</td><td>90 (20.1)</td><td>100 (25.3)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Marital Status (<i>n</i> = 1817)<sup>a</sup></td></tr><tr><td> Married</td><td>274 (56.7)</td><td>395 (80.5)</td><td>356 (79.5)</td><td>325 (82.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Widowed</td><td>1 (0.2)</td><td>0 (0.0)</td><td>3 (0.7)</td><td>14 (3.5)</td><td>[EMPTY_CELL]</td></tr><tr><td> Divorced</td><td>11 (2.3)</td><td>35 (7.1)</td><td>42 (9.4)</td><td>29 (7.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Separated</td><td>4 (0.8)</td><td>12 (2.4)</td><td>4 (0.9)</td><td>8 (2.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Never Married</td><td>106 (22.0)</td><td>23 (4.7)</td><td>20 (4.5)</td><td>8 (2.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Living with partner</td><td>87 (18.0)</td><td>26 (5.3)</td><td>23 (5.1)</td><td>11 (2.8)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Age <41n (%)</b>\", \"bbox\": [145, 4, 175, 22]}, {\"cell\": \"<b>Age 41 to 50n (%)</b>\", \"bbox\": [214, 4, 258, 22]}, {\"cell\": \"<b>Age 51 to 60n (%)</b>\", \"bbox\": [294, 4, 338, 22]}, {\"cell\": \"<b>Age >60n (%)</b>\", \"bbox\": [374, 4, 404, 22]}, {\"cell\": \"<b>Totaln (%)</b>\", \"bbox\": [443, 4, 462, 22]}, {\"cell\": \"Participants who indicated age\", \"bbox\": [1, 26, 102, 36]}, {\"cell\": \"489 (26.8)\", \"bbox\": [145, 26, 178, 36]}, {\"cell\": \"493 (27.0)\", \"bbox\": [214, 26, 247, 36]}, {\"cell\": \"449 (24.6)\", \"bbox\": [294, 26, 327, 36]}, {\"cell\": \"395 (21.6)\", \"bbox\": [374, 26, 407, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 26, 484, 36]}, {\"cell\": \"Gender (<i>n</i> = 1826)<sup>a</sup>\", \"bbox\": [1, 38, 62, 50]}, {\"cell\": \" Female\", \"bbox\": [9, 54, 34, 64]}, {\"cell\": \"114 (23.3)\", \"bbox\": [145, 54, 178, 64]}, {\"cell\": \"71 (14.4)\", \"bbox\": [214, 54, 243, 64]}, {\"cell\": \"56 (12.5)\", \"bbox\": [294, 54, 323, 64]}, {\"cell\": \"9 (2.3)\", \"bbox\": [374, 54, 396, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 54, 476, 64]}, {\"cell\": \" Male\", \"bbox\": [9, 68, 26, 78]}, {\"cell\": \"375 (76.7)\", \"bbox\": [145, 68, 178, 78]}, {\"cell\": \"422 (85.6)\", \"bbox\": [214, 68, 247, 78]}, {\"cell\": \"393 (87.5)\", \"bbox\": [294, 68, 327, 78]}, {\"cell\": \"386 (97.7)\", \"bbox\": [374, 68, 407, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 68, 480, 78]}, {\"cell\": \"Tenure (<i>n</i> = 1826)<sup>a</sup>\", \"bbox\": [1, 80, 61, 92]}, {\"cell\": \"< 6 years\", \"bbox\": [10, 96, 41, 106]}, {\"cell\": \"165 (33.7)\", \"bbox\": [145, 96, 178, 106]}, {\"cell\": \"17 (3.5)\", \"bbox\": [214, 96, 240, 106]}, {\"cell\": \"8 (1.8)\", \"bbox\": [294, 96, 316, 106]}, {\"cell\": \"1 (0.3)\", \"bbox\": [374, 96, 396, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 96, 476, 106]}, {\"cell\": \" 6–10 years\", \"bbox\": [9, 110, 45, 120]}, {\"cell\": \"206 (42.1)\", \"bbox\": [145, 110, 178, 120]}, {\"cell\": \"94 (19.1)\", \"bbox\": [214, 110, 243, 120]}, {\"cell\": \"15 (3.3)\", \"bbox\": [294, 110, 320, 120]}, {\"cell\": \"4 (1.0)\", \"bbox\": [374, 110, 396, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 110, 476, 120]}, {\"cell\": \" 11–15 years\", \"bbox\": [9, 124, 48, 134]}, {\"cell\": \"100 (20.5)\", \"bbox\": [145, 124, 178, 134]}, {\"cell\": \"140 (28.4)\", \"bbox\": [214, 124, 247, 134]}, {\"cell\": \"56 (12.5)\", \"bbox\": [294, 124, 323, 134]}, {\"cell\": \"12 (3.0)\", \"bbox\": [374, 124, 400, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 124, 476, 134]}, {\"cell\": \" 16–20 years\", \"bbox\": [9, 138, 48, 148]}, {\"cell\": \"18 (3.7)\", \"bbox\": [145, 138, 171, 148]}, {\"cell\": \"168 (34.1)\", \"bbox\": [214, 138, 247, 148]}, {\"cell\": \"85 (18.9)\", \"bbox\": [294, 138, 323, 148]}, {\"cell\": \"30 (7.6)\", \"bbox\": [374, 138, 400, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 138, 476, 148]}, {\"cell\": \" 21–25 years\", \"bbox\": [9, 152, 48, 162]}, {\"cell\": \"0 (0.0)\", \"bbox\": [145, 152, 167, 162]}, {\"cell\": \"68 (13.8)\", \"bbox\": [214, 152, 243, 162]}, {\"cell\": \"110 (24.5)\", \"bbox\": [294, 152, 327, 162]}, {\"cell\": \"43 (10.9)\", \"bbox\": [374, 152, 403, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 152, 476, 162]}, {\"cell\": \"> 25 years\", \"bbox\": [10, 166, 45, 176]}, {\"cell\": \"0 (0.0)\", \"bbox\": [145, 166, 167, 176]}, {\"cell\": \"6 (1.2)\", \"bbox\": [214, 166, 236, 176]}, {\"cell\": \"175 (39.0)\", \"bbox\": [294, 166, 327, 176]}, {\"cell\": \"305 (77.2)\", \"bbox\": [374, 166, 407, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 166, 476, 176]}, {\"cell\": \"Recently Worked<sup>b</sup> (<i>n</i> = 1826)<sup>a</sup>\", \"bbox\": [1, 178, 96, 190]}, {\"cell\": \" No\", \"bbox\": [9, 194, 20, 204]}, {\"cell\": \"20 (4.1)\", \"bbox\": [145, 194, 171, 204]}, {\"cell\": \"31 (6.3)\", \"bbox\": [214, 194, 240, 204]}, {\"cell\": \"53 (11.8)\", \"bbox\": [294, 194, 323, 204]}, {\"cell\": \"308 (78.0)\", \"bbox\": [374, 194, 407, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 194, 476, 204]}, {\"cell\": \" Yes\", \"bbox\": [9, 208, 21, 218]}, {\"cell\": \"469 (95.9)\", \"bbox\": [145, 208, 178, 218]}, {\"cell\": \"462 (93.7)\", \"bbox\": [214, 208, 247, 218]}, {\"cell\": \"396 (88.2)\", \"bbox\": [294, 208, 327, 218]}, {\"cell\": \"87 (22.0)\", \"bbox\": [374, 208, 403, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 208, 480, 218]}, {\"cell\": \"Education (<i>n</i> = 1817)<sup>a</sup>\", \"bbox\": [1, 220, 71, 232]}, {\"cell\": \" Less than high school diploma\", \"bbox\": [9, 236, 109, 246]}, {\"cell\": \"2 (0.4)\", \"bbox\": [145, 236, 167, 246]}, {\"cell\": \"1 (0.2)\", \"bbox\": [214, 236, 236, 246]}, {\"cell\": \"3 (0.7)\", \"bbox\": [294, 236, 316, 246]}, {\"cell\": \"2 (0.5)\", \"bbox\": [374, 236, 396, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 236, 465, 246]}, {\"cell\": \" High school or GED\", \"bbox\": [9, 250, 74, 260]}, {\"cell\": \"60 (12.4)\", \"bbox\": [145, 250, 174, 260]}, {\"cell\": \"72 (14.7)\", \"bbox\": [214, 250, 243, 260]}, {\"cell\": \"49 (10.9)\", \"bbox\": [294, 250, 323, 260]}, {\"cell\": \"38 (9.6)\", \"bbox\": [374, 250, 400, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 250, 476, 260]}, {\"cell\": \" Some college, no degree\", \"bbox\": [9, 264, 91, 274]}, {\"cell\": \"85 (17.6)\", \"bbox\": [145, 264, 174, 274]}, {\"cell\": \"82 (16.7)\", \"bbox\": [214, 264, 243, 274]}, {\"cell\": \"53 (11.8)\", \"bbox\": [294, 264, 323, 274]}, {\"cell\": \"81 (20.5)\", \"bbox\": [374, 264, 403, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 264, 476, 274]}, {\"cell\": \" Two-year college degree\", \"bbox\": [9, 278, 90, 288]}, {\"cell\": \"62 (12.8)\", \"bbox\": [145, 278, 174, 288]}, {\"cell\": \"47 (9.6)\", \"bbox\": [214, 278, 239, 288]}, {\"cell\": \"27 (6.0)\", \"bbox\": [294, 278, 319, 288]}, {\"cell\": \"26 (6.6)\", \"bbox\": [374, 278, 400, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 278, 472, 288]}, {\"cell\": \" Four-year college degree\", \"bbox\": [8, 292, 91, 302]}, {\"cell\": \"217 (44.9)\", \"bbox\": [145, 292, 178, 302]}, {\"cell\": \"221 (45.0)\", \"bbox\": [214, 292, 247, 302]}, {\"cell\": \"226 (50.5)\", \"bbox\": [294, 292, 327, 302]}, {\"cell\": \"148 (37.5)\", \"bbox\": [374, 292, 407, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 292, 476, 302]}, {\"cell\": \" Graduate education\", \"bbox\": [8, 306, 74, 316]}, {\"cell\": \"57 (11.8)\", \"bbox\": [145, 306, 174, 316]}, {\"cell\": \"68 (13.9)\", \"bbox\": [214, 306, 243, 316]}, {\"cell\": \"90 (20.1)\", \"bbox\": [294, 306, 323, 316]}, {\"cell\": \"100 (25.3)\", \"bbox\": [374, 306, 407, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 306, 476, 316]}, {\"cell\": \"Marital Status (<i>n</i> = 1817)<sup>a</sup>\", \"bbox\": [0, 318, 82, 330]}, {\"cell\": \" Married\", \"bbox\": [9, 334, 35, 344]}, {\"cell\": \"274 (56.7)\", \"bbox\": [145, 334, 178, 344]}, {\"cell\": \"395 (80.5)\", \"bbox\": [214, 334, 247, 344]}, {\"cell\": \"356 (79.5)\", \"bbox\": [294, 334, 327, 344]}, {\"cell\": \"325 (82.3)\", \"bbox\": [374, 334, 407, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 334, 480, 344]}, {\"cell\": \" Widowed\", \"bbox\": [9, 348, 41, 358]}, {\"cell\": \"1 (0.2)\", \"bbox\": [145, 348, 167, 358]}, {\"cell\": \"0 (0.0)\", \"bbox\": [214, 348, 236, 358]}, {\"cell\": \"3 (0.7)\", \"bbox\": [294, 348, 316, 358]}, {\"cell\": \"14 (3.5)\", \"bbox\": [374, 348, 400, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 348, 469, 358]}, {\"cell\": \" Divorced\", \"bbox\": [9, 362, 39, 372]}, {\"cell\": \"11 (2.3)\", \"bbox\": [145, 362, 171, 372]}, {\"cell\": \"35 (7.1)\", \"bbox\": [214, 362, 240, 372]}, {\"cell\": \"42 (9.4)\", \"bbox\": [294, 362, 320, 372]}, {\"cell\": \"29 (7.3)\", \"bbox\": [374, 362, 400, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 362, 472, 372]}, {\"cell\": \" Separated\", \"bbox\": [9, 376, 42, 386]}, {\"cell\": \"4 (0.8)\", \"bbox\": [145, 376, 167, 386]}, {\"cell\": \"12 (2.4)\", \"bbox\": [214, 376, 240, 386]}, {\"cell\": \"4 (0.9)\", \"bbox\": [294, 376, 316, 386]}, {\"cell\": \"8 (2.0)\", \"bbox\": [374, 376, 396, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 376, 468, 386]}, {\"cell\": \" Never Married\", \"bbox\": [9, 390, 56, 400]}, {\"cell\": \"106 (22.0)\", \"bbox\": [145, 390, 178, 400]}, {\"cell\": \"23 (4.7)\", \"bbox\": [214, 390, 239, 400]}, {\"cell\": \"20 (4.5)\", \"bbox\": [294, 390, 319, 400]}, {\"cell\": \"8 (2.0)\", \"bbox\": [374, 390, 396, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 390, 472, 400]}, {\"cell\": \" Living with partner\", \"bbox\": [9, 404, 71, 414]}, {\"cell\": \"87 (18.0)\", \"bbox\": [145, 404, 174, 414]}, {\"cell\": \"26 (5.3)\", \"bbox\": [214, 404, 239, 414]}, {\"cell\": \"23 (5.1)\", \"bbox\": [294, 404, 319, 414]}, {\"cell\": \"11 (2.8)\", \"bbox\": [374, 404, 400, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 404, 472, 414]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5157081_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}290{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Genotypes</b></td><td><b>Case (%)</b></td><td><b>Control (%)</b></td><td><b>Crude OR (95% CI)</b></td><td><b>P</b></td><td><b>Adjusted OR (95% CI)<sup>a</sup></b></td><td><b>P<sup>a</sup></b></td></tr></thead><tbody><tr><td>rs13281615</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>AA</td><td>86 (23.06)</td><td>279 (26.98)</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>AG</td><td>192 (51.47)</td><td>503 (48.65)</td><td>1.24 (0.92–1.66)</td><td>[EMPTY_CELL]</td><td>1.25 (0.92–1.71)</td><td>0.159</td></tr><tr><td>GG</td><td>95 (25.47)</td><td>252 (24.37)</td><td>1.22 (0.87–1.71)</td><td>[EMPTY_CELL]</td><td>1.17 (0.81–1.67)</td><td>0.400</td></tr><tr><td>Dominant model</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.23 (0.94–1.63)</td><td>[EMPTY_CELL]</td><td>1.22 (0.91–1.64)</td><td>0.181</td></tr><tr><td>Recessive model</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.06 (0.81–1.39)</td><td>[EMPTY_CELL]</td><td>1.01 (0.75–1.35)</td><td>0.967</td></tr><tr><td>Additive model</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.10 (0.94–1.31)</td><td>[EMPTY_CELL]</td><td>1.08 (0.90–1.29)</td><td>0.397</td></tr><tr><td>rs6983267</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TT</td><td>128 (33.95)</td><td>394 (38.10)</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>GT</td><td>183 (48.54)</td><td>510 (49.32)</td><td>1.11 (0.85–1.43)</td><td>[EMPTY_CELL]</td><td>1.07 (0.81–1.41)</td><td>0.631</td></tr><tr><td>GG</td><td>66 (17.51)</td><td>130 (12.57)</td><td>1.56 (1.09–2.23)</td><td>[EMPTY_CELL]</td><td>1.57 (1.06–2.32)</td><td>0.023</td></tr><tr><td>Dominant model</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.20 (0.94–1.53)</td><td>[EMPTY_CELL]</td><td>1.16 (0.89–1.52)</td><td>0.260</td></tr><tr><td>Recessive model</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.48 (1.07–2.04)</td><td>[EMPTY_CELL]</td><td>1.51 (1.06–2.15)</td><td>0.023</td></tr><tr><td>Additive model</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.22 (1.03–1.45)</td><td>[EMPTY_CELL]</td><td>1.21 (1.01–1.43)</td><td>0.048</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Genotypes</b>\", \"bbox\": [30, 10, 68, 19]}, {\"cell\": \"<b>Case (%)</b>\", \"bbox\": [112, 10, 145, 19]}, {\"cell\": \"<b>Control (%)</b>\", \"bbox\": [167, 10, 211, 19]}, {\"cell\": \"<b>Crude OR (95% CI)</b>\", \"bbox\": [222, 10, 294, 19]}, {\"cell\": \"<b>P</b>\", \"bbox\": [321, 10, 328, 17]}, {\"cell\": \"<b>Adjusted OR (95% CI)<sup>a</sup></b>\", \"bbox\": [358, 5, 426, 24]}, {\"cell\": \"<b>P<sup>a</sup></b>\", \"bbox\": [455, 9, 466, 17]}, {\"cell\": \"rs13281615\", \"bbox\": [5, 29, 44, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA\", \"bbox\": [5, 44, 18, 53]}, {\"cell\": \"86 (23.06)\", \"bbox\": [110, 44, 147, 53]}, {\"cell\": \"279 (26.98)\", \"bbox\": [169, 44, 208, 53]}, {\"cell\": \"1.00\", \"bbox\": [250, 44, 266, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [384, 44, 400, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AG\", \"bbox\": [5, 59, 18, 68]}, {\"cell\": \"192 (51.47)\", \"bbox\": [108, 59, 149, 68]}, {\"cell\": \"503 (48.65)\", \"bbox\": [169, 59, 208, 68]}, {\"cell\": \"1.24 (0.92–1.66)\", \"bbox\": [230, 59, 286, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 59, 334, 68]}, {\"cell\": \"1.25 (0.92–1.71)\", \"bbox\": [364, 59, 419, 68]}, {\"cell\": \"0.159\", \"bbox\": [450, 59, 470, 68]}, {\"cell\": \"GG\", \"bbox\": [5, 74, 18, 83]}, {\"cell\": \"95 (25.47)\", \"bbox\": [111, 74, 146, 83]}, {\"cell\": \"252 (24.37)\", \"bbox\": [169, 74, 208, 83]}, {\"cell\": \"1.22 (0.87–1.71)\", \"bbox\": [230, 74, 286, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 74, 334, 83]}, {\"cell\": \"1.17 (0.81–1.67)\", \"bbox\": [364, 74, 419, 83]}, {\"cell\": \"0.400\", \"bbox\": [450, 74, 470, 83]}, {\"cell\": \"Dominant model\", \"bbox\": [5, 89, 61, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.23 (0.94–1.63)\", \"bbox\": [230, 89, 286, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 89, 334, 98]}, {\"cell\": \"1.22 (0.91–1.64)\", \"bbox\": [364, 89, 419, 98]}, {\"cell\": \"0.181\", \"bbox\": [451, 89, 471, 98]}, {\"cell\": \"Recessive model\", \"bbox\": [5, 104, 60, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.06 (0.81–1.39)\", \"bbox\": [230, 104, 286, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 104, 334, 113]}, {\"cell\": \"1.01 (0.75–1.35)\", \"bbox\": [364, 104, 419, 113]}, {\"cell\": \"0.967\", \"bbox\": [451, 104, 471, 113]}, {\"cell\": \"Additive model\", \"bbox\": [5, 119, 57, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.10 (0.94–1.31)\", \"bbox\": [230, 119, 286, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 119, 334, 128]}, {\"cell\": \"1.08 (0.90–1.29)\", \"bbox\": [364, 119, 419, 128]}, {\"cell\": \"0.397\", \"bbox\": [451, 119, 471, 128]}, {\"cell\": \"rs6983267\", \"bbox\": [5, 134, 40, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [5, 149, 16, 159]}, {\"cell\": \"128 (33.95)\", \"bbox\": [109, 149, 148, 159]}, {\"cell\": \"394 (38.10)\", \"bbox\": [169, 149, 208, 159]}, {\"cell\": \"1.00\", \"bbox\": [250, 149, 266, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [384, 149, 400, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GT\", \"bbox\": [5, 164, 17, 174]}, {\"cell\": \"183 (48.54)\", \"bbox\": [109, 164, 148, 174]}, {\"cell\": \"510 (49.32)\", \"bbox\": [169, 164, 208, 174]}, {\"cell\": \"1.11 (0.85–1.43)\", \"bbox\": [230, 164, 286, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 164, 334, 174]}, {\"cell\": \"1.07 (0.81–1.41)\", \"bbox\": [364, 164, 419, 174]}, {\"cell\": \"0.631\", \"bbox\": [451, 164, 471, 174]}, {\"cell\": \"GG\", \"bbox\": [5, 179, 18, 189]}, {\"cell\": \"66 (17.51)\", \"bbox\": [111, 179, 146, 189]}, {\"cell\": \"130 (12.57)\", \"bbox\": [169, 179, 208, 189]}, {\"cell\": \"1.56 (1.09–2.23)\", \"bbox\": [230, 179, 286, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 179, 334, 189]}, {\"cell\": \"1.57 (1.06–2.32)\", \"bbox\": [364, 179, 419, 189]}, {\"cell\": \"0.023\", \"bbox\": [450, 179, 470, 189]}, {\"cell\": \"Dominant model\", \"bbox\": [5, 194, 61, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.20 (0.94–1.53)\", \"bbox\": [230, 194, 286, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 194, 334, 204]}, {\"cell\": \"1.16 (0.89–1.52)\", \"bbox\": [364, 194, 419, 204]}, {\"cell\": \"0.260\", \"bbox\": [451, 194, 471, 204]}, {\"cell\": \"Recessive model\", \"bbox\": [5, 209, 60, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.48 (1.07–2.04)\", \"bbox\": [230, 209, 286, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 209, 334, 219]}, {\"cell\": \"1.51 (1.06–2.15)\", \"bbox\": [364, 209, 419, 219]}, {\"cell\": \"0.023\", \"bbox\": [451, 209, 471, 219]}, {\"cell\": \"Additive model\", \"bbox\": [5, 225, 57, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.22 (1.03–1.45)\", \"bbox\": [230, 225, 286, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 225, 334, 234]}, {\"cell\": \"1.21 (1.01–1.43)\", \"bbox\": [364, 225, 419, 234]}, {\"cell\": \"0.048\", \"bbox\": [451, 225, 471, 234]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5482668_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}291{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Haplotypes<sup>a</sup>(SSCP Conformation)</b></td><td><b>Units</b></td><td><b>Zero Copies</b></td><td><b>One Copy</b></td><td><b><i>p-Value</i></b></td><td><b>Two copies</b></td><td><b><i>p-Value</i></b></td></tr></thead><tbody><tr><td>No mutations<b>(T)</b></td><td>Controls/cases</td><td>17/16</td><td>48/36</td><td>0.73</td><td>[EMPTY_CELL]</td><td>1.0</td></tr><tr><td>[EMPTY_CELL]</td><td>OR (95% CI)</td><td>1.00 (ref)</td><td>0.80 (0.36 – 1.79)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[-786T>C; -714G>T; -690C>T]<b>(C)</b></td><td>Controls/cases</td><td>42/36</td><td>44/37</td><td>0.92</td><td>[EMPTY_CELL]</td><td>0.81</td></tr><tr><td>[EMPTY_CELL]</td><td>OR (95% CI)</td><td>1.00 (ref)</td><td>0.98 (0.52–1.83)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[-786T>C; -764A>G; -690C>T]<b>(A)</b></td><td>Controls/cases</td><td>72/71</td><td>22/11</td><td>0.13</td><td>[EMPTY_CELL]</td><td>--</td></tr><tr><td>[EMPTY_CELL]</td><td>OR (95% CI)</td><td>1.00 (ref)</td><td>0.51 (0.23 – 1.12)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[-786T>C; -690A>G; -649G>A]<sup>b</sup><b>(N)</b></td><td>Controls/cases</td><td>94/82</td><td>0/1</td><td>--</td><td>[EMPTY_CELL]</td><td>--</td></tr><tr><td>[EMPTY_CELL]</td><td>OR (95% CI)</td><td>1.00 (ref)</td><td>--</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Haplotypes<sup>a</sup>(SSCP Conformation)</b>\", \"bbox\": [25, 4, 112, 23]}, {\"cell\": \"<b>Units</b>\", \"bbox\": [158, 5, 181, 14]}, {\"cell\": \"<b>Zero Copies</b>\", \"bbox\": [210, 5, 259, 14]}, {\"cell\": \"<b>One Copy</b>\", \"bbox\": [284, 5, 325, 14]}, {\"cell\": \"<b><i>p-Value</i></b>\", \"bbox\": [348, 5, 378, 14]}, {\"cell\": \"<b>Two copies</b>\", \"bbox\": [399, 5, 444, 14]}, {\"cell\": \"<b><i>p-Value</i></b>\", \"bbox\": [465, 5, 495, 14]}, {\"cell\": \"No mutations<b>(T)</b>\", \"bbox\": [45, 36, 93, 55]}, {\"cell\": \"Controls/cases\", \"bbox\": [144, 36, 195, 46]}, {\"cell\": \"17/16\", \"bbox\": [224, 36, 245, 46]}, {\"cell\": \"48/36\", \"bbox\": [294, 36, 315, 46]}, {\"cell\": \"0.73\", \"bbox\": [355, 36, 371, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 36, 432, 46]}, {\"cell\": \"1.0\", \"bbox\": [474, 36, 486, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR (95% CI)\", \"bbox\": [147, 55, 192, 65]}, {\"cell\": \"1.00 (ref)\", \"bbox\": [218, 55, 251, 65]}, {\"cell\": \"0.80 (0.36 – 1.79)\", \"bbox\": [274, 55, 335, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [391, 55, 452, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[-786T>C; -714G>T; -690C>T]<b>(C)</b>\", \"bbox\": [15, 66, 123, 85]}, {\"cell\": \"Controls/cases\", \"bbox\": [144, 66, 195, 75]}, {\"cell\": \"42/36\", \"bbox\": [224, 66, 245, 75]}, {\"cell\": \"44/37\", \"bbox\": [294, 66, 315, 75]}, {\"cell\": \"0.92\", \"bbox\": [355, 66, 371, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 66, 428, 75]}, {\"cell\": \"0.81\", \"bbox\": [472, 66, 488, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR (95% CI)\", \"bbox\": [147, 85, 192, 95]}, {\"cell\": \"1.00 (ref)\", \"bbox\": [218, 85, 251, 95]}, {\"cell\": \"0.98 (0.52–1.83)\", \"bbox\": [276, 85, 332, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [391, 85, 452, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[-786T>C; -764A>G; -690C>T]<b>(A)</b>\", \"bbox\": [15, 95, 123, 114]}, {\"cell\": \"Controls/cases\", \"bbox\": [144, 95, 195, 105]}, {\"cell\": \"72/71\", \"bbox\": [224, 95, 245, 105]}, {\"cell\": \"22/11\", \"bbox\": [294, 95, 315, 105]}, {\"cell\": \"0.13\", \"bbox\": [355, 95, 371, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 95, 428, 105]}, {\"cell\": \"--\", \"bbox\": [476, 95, 484, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR (95% CI)\", \"bbox\": [147, 115, 192, 125]}, {\"cell\": \"1.00 (ref)\", \"bbox\": [218, 115, 251, 125]}, {\"cell\": \"0.51 (0.23 – 1.12)\", \"bbox\": [274, 115, 335, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 115, 425, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[-786T>C; -690A>G; -649G>A]<sup>b</sup><b>(N)</b>\", \"bbox\": [13, 125, 125, 144]}, {\"cell\": \"Controls/cases\", \"bbox\": [144, 125, 195, 135]}, {\"cell\": \"94/82\", \"bbox\": [224, 125, 245, 135]}, {\"cell\": \"0/1\", \"bbox\": [298, 125, 311, 135]}, {\"cell\": \"--\", \"bbox\": [359, 125, 367, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 125, 428, 135]}, {\"cell\": \"--\", \"bbox\": [476, 125, 484, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"OR (95% CI)\", \"bbox\": [147, 145, 192, 154]}, {\"cell\": \"1.00 (ref)\", \"bbox\": [218, 145, 251, 154]}, {\"cell\": \"--\", \"bbox\": [301, 145, 308, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 145, 425, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2571109_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}292{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td><b>Simulator students</b></td><td><b>Honest inpatients</b></td><td><b>Honest students</b></td><td rowspan=\\\"3\\\"><b>F value</b></td><td rowspan=\\\"3\\\"><b>P value</b></td></tr><tr><td><b>(n = 40)</b></td><td><b>(n = 40)</b></td><td><b>(n = 40)</b></td></tr><tr><td><b>Mean(SD)</b></td><td><b>Mean(SD)</b></td><td><b>Mean(SD)</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">Primary scales</td></tr><tr><td>RS</td><td>[EMPTY_CELL]</td><td>2.38 (1.90)</td><td>0.73 (1.30)</td><td>191.91</td><td>p < 0.05</td></tr><tr><td>SC</td><td>[EMPTY_CELL]</td><td>4.33 (2.99)</td><td>1.05 (1.22)</td><td>188.47</td><td>p < 0.05</td></tr><tr><td>IA</td><td>[EMPTY_CELL]</td><td>1.28 (1.12)</td><td>0.80 (0.94)</td><td>232.92</td><td>p < 0.05</td></tr><tr><td>BL</td><td>[EMPTY_CELL]</td><td>8.73 (4.06)</td><td>0.55 (1.18)</td><td>164.47</td><td>p < 0.05</td></tr><tr><td>SU</td><td>[EMPTY_CELL]</td><td>8.05 (2.68)</td><td>2.15 (2.18)</td><td>161.77</td><td>p < 0.05</td></tr><tr><td>SEL</td><td>[EMPTY_CELL]</td><td>11.03 (3.53)</td><td>3.28 (2.52)</td><td>95.87</td><td>p < 0.05</td></tr><tr><td>SEV</td><td>[EMPTY_CELL]</td><td>3.08 (2.76)</td><td>0.05 (0.22)</td><td>45.68</td><td>p < 0.05</td></tr><tr><td>RO</td><td>[EMPTY_CELL]</td><td>0.43 (1.11)</td><td>0.33 (0.80)</td><td>96.83</td><td>p < 0.05</td></tr><tr><td colspan=\\\"6\\\">Supplementary scales</td></tr><tr><td>DA</td><td>[EMPTY_CELL]</td><td>3.05 (1.80)</td><td>2.45 (1.40)</td><td>26.12</td><td>p > 0.05</td></tr><tr><td>DS</td><td>[EMPTY_CELL]</td><td>20.80 (6.33)</td><td>17.60 (4.07)</td><td>14.67</td><td>p > 0.05</td></tr><tr><td>IF</td><td>[EMPTY_CELL]</td><td>1.80 (2.64)</td><td>0.20 (0.91)</td><td>87.16</td><td>p < 0.05</td></tr><tr><td>OS</td><td>[EMPTY_CELL]</td><td>1.33 (1.44)</td><td>0.28 (0.60)</td><td>126.22</td><td>p > 0.05</td></tr><tr><td>INC</td><td>[EMPTY_CELL]</td><td>0.48 (1.59)</td><td>0.00 (0.00)</td><td>40.13</td><td>p < 0.05</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Simulator students</b>\", \"bbox\": [59, 4, 126, 13]}, {\"cell\": \"<b>Honest inpatients</b>\", \"bbox\": [171, 4, 234, 13]}, {\"cell\": \"<b>Honest students</b>\", \"bbox\": [279, 4, 338, 13]}, {\"cell\": \"<b>F value</b>\", \"bbox\": [383, 4, 410, 13]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [456, 4, 483, 13]}, {\"cell\": \"<b>(n = 40)</b>\", \"bbox\": [59, 17, 86, 26]}, {\"cell\": \"<b>(n = 40)</b>\", \"bbox\": [171, 17, 199, 26]}, {\"cell\": \"<b>(n = 40)</b>\", \"bbox\": [279, 17, 307, 26]}, {\"cell\": \"<b>Mean(SD)</b>\", \"bbox\": [59, 30, 94, 40]}, {\"cell\": \"<b>Mean(SD)</b>\", \"bbox\": [171, 30, 206, 40]}, {\"cell\": \"<b>Mean(SD)</b>\", \"bbox\": [279, 30, 314, 40]}, {\"cell\": \"Primary scales\", \"bbox\": [1, 43, 47, 53]}, {\"cell\": \"RS\", \"bbox\": [1, 57, 10, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 57, 97, 67]}, {\"cell\": \"2.38 (1.90)\", \"bbox\": [171, 57, 205, 67]}, {\"cell\": \"0.73 (1.30)\", \"bbox\": [279, 57, 313, 67]}, {\"cell\": \"191.91\", \"bbox\": [383, 57, 405, 67]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 57, 483, 67]}, {\"cell\": \"SC\", \"bbox\": [1, 71, 11, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 71, 97, 81]}, {\"cell\": \"4.33 (2.99)\", \"bbox\": [171, 71, 205, 81]}, {\"cell\": \"1.05 (1.22)\", \"bbox\": [279, 71, 313, 81]}, {\"cell\": \"188.47\", \"bbox\": [383, 71, 405, 81]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 71, 483, 81]}, {\"cell\": \"IA\", \"bbox\": [1, 85, 9, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 85, 93, 95]}, {\"cell\": \"1.28 (1.12)\", \"bbox\": [171, 85, 205, 95]}, {\"cell\": \"0.80 (0.94)\", \"bbox\": [279, 85, 313, 95]}, {\"cell\": \"232.92\", \"bbox\": [383, 85, 405, 95]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 85, 483, 95]}, {\"cell\": \"BL\", \"bbox\": [1, 99, 10, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 99, 97, 109]}, {\"cell\": \"8.73 (4.06)\", \"bbox\": [171, 99, 205, 109]}, {\"cell\": \"0.55 (1.18)\", \"bbox\": [279, 99, 313, 109]}, {\"cell\": \"164.47\", \"bbox\": [383, 99, 405, 109]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 99, 483, 109]}, {\"cell\": \"SU\", \"bbox\": [1, 113, 11, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 113, 97, 123]}, {\"cell\": \"8.05 (2.68)\", \"bbox\": [171, 113, 205, 123]}, {\"cell\": \"2.15 (2.18)\", \"bbox\": [279, 113, 313, 123]}, {\"cell\": \"161.77\", \"bbox\": [383, 113, 405, 123]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 113, 483, 123]}, {\"cell\": \"SEL\", \"bbox\": [1, 127, 13, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 127, 97, 137]}, {\"cell\": \"11.03 (3.53)\", \"bbox\": [171, 127, 209, 137]}, {\"cell\": \"3.28 (2.52)\", \"bbox\": [279, 127, 313, 137]}, {\"cell\": \"95.87\", \"bbox\": [383, 127, 401, 137]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 127, 483, 137]}, {\"cell\": \"SEV\", \"bbox\": [1, 141, 14, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 141, 93, 151]}, {\"cell\": \"3.08 (2.76)\", \"bbox\": [171, 141, 205, 151]}, {\"cell\": \"0.05 (0.22)\", \"bbox\": [279, 141, 313, 151]}, {\"cell\": \"45.68\", \"bbox\": [383, 141, 401, 151]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 141, 483, 151]}, {\"cell\": \"RO\", \"bbox\": [1, 155, 12, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 155, 93, 165]}, {\"cell\": \"0.43 (1.11)\", \"bbox\": [171, 155, 205, 165]}, {\"cell\": \"0.33 (0.80)\", \"bbox\": [279, 155, 313, 165]}, {\"cell\": \"96.83\", \"bbox\": [383, 155, 401, 165]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 155, 483, 165]}, {\"cell\": \"Supplementary scales\", \"bbox\": [1, 169, 72, 179]}, {\"cell\": \"DA\", \"bbox\": [1, 183, 12, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 183, 93, 193]}, {\"cell\": \"3.05 (1.80)\", \"bbox\": [171, 183, 205, 193]}, {\"cell\": \"2.45 (1.40)\", \"bbox\": [279, 183, 313, 193]}, {\"cell\": \"26.12\", \"bbox\": [383, 183, 401, 193]}, {\"cell\": \"p > 0.05\", \"bbox\": [456, 183, 483, 193]}, {\"cell\": \"DS\", \"bbox\": [1, 197, 11, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 197, 97, 207]}, {\"cell\": \"20.80 (6.33)\", \"bbox\": [171, 197, 209, 207]}, {\"cell\": \"17.60 (4.07)\", \"bbox\": [279, 197, 317, 207]}, {\"cell\": \"14.67\", \"bbox\": [383, 197, 401, 207]}, {\"cell\": \"p > 0.05\", \"bbox\": [456, 197, 483, 207]}, {\"cell\": \"IF\", \"bbox\": [1, 211, 8, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 211, 97, 221]}, {\"cell\": \"1.80 (2.64)\", \"bbox\": [171, 211, 205, 221]}, {\"cell\": \"0.20 (0.91)\", \"bbox\": [279, 211, 313, 221]}, {\"cell\": \"87.16\", \"bbox\": [383, 211, 401, 221]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 211, 483, 221]}, {\"cell\": \"OS\", \"bbox\": [1, 225, 11, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 225, 93, 235]}, {\"cell\": \"1.33 (1.44)\", \"bbox\": [171, 225, 205, 235]}, {\"cell\": \"0.28 (0.60)\", \"bbox\": [279, 225, 313, 235]}, {\"cell\": \"126.22\", \"bbox\": [383, 225, 405, 235]}, {\"cell\": \"p > 0.05\", \"bbox\": [456, 225, 483, 235]}, {\"cell\": \"INC\", \"bbox\": [1, 239, 14, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 239, 93, 249]}, {\"cell\": \"0.48 (1.59)\", \"bbox\": [171, 239, 205, 249]}, {\"cell\": \"0.00 (0.00)\", \"bbox\": [279, 239, 313, 249]}, {\"cell\": \"40.13\", \"bbox\": [383, 239, 401, 249]}, {\"cell\": \"p < 0.05\", \"bbox\": [456, 239, 483, 249]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3852949_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}293{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>No.</b></td><td><b><i>E</i> /μJ</b></td><td><b><i>D</i> /μm</b></td><td><b><i>T</i><sub><i>-t</i></sub>/nm</b></td><td><b><i>l</i>/μm</b></td><td colspan=\\\"3\\\"><b>No. of Cells</b></td><td colspan=\\\"3\\\"><b>Peak Diameter<sup>a</sup></b></td><td colspan=\\\"3\\\"><b>Proliferation Ratio<sup>b</sup></b></td></tr></thead><tbody><tr><td>1</td><td>[EMPTY_CELL]</td><td>45</td><td>80</td><td>500</td><td>24</td><td>25</td><td>24</td><td>16</td><td>16</td><td>17</td><td>1.47</td><td>1.48</td><td>1.46</td></tr><tr><td>2</td><td>[EMPTY_CELL]</td><td>30</td><td>40</td><td>300</td><td>21</td><td>22</td><td>22</td><td>15</td><td>14</td><td>14</td><td>1.3</td><td>1.32</td><td>1.31</td></tr><tr><td>3</td><td>[EMPTY_CELL]</td><td>60</td><td>40</td><td>500</td><td>18</td><td>16</td><td>19</td><td>13</td><td>13</td><td>13</td><td>1.33</td><td>1.33</td><td>1.32</td></tr><tr><td>4</td><td>[EMPTY_CELL]</td><td>30</td><td>80</td><td>700</td><td>35</td><td>37</td><td>37</td><td>15</td><td>13</td><td>15</td><td>1.35</td><td>1.32</td><td>1.36</td></tr><tr><td>5</td><td>[EMPTY_CELL]</td><td>60</td><td>120</td><td>700</td><td>16</td><td>14</td><td>14</td><td>19</td><td>18</td><td>19</td><td>1.52</td><td>1.54</td><td>1.49</td></tr><tr><td>6</td><td>[EMPTY_CELL]</td><td>45</td><td>120</td><td>300</td><td>24</td><td>25</td><td>24</td><td>15</td><td>16</td><td>16</td><td>1.41</td><td>1.46</td><td>1.44</td></tr><tr><td>7</td><td>[EMPTY_CELL]</td><td>45</td><td>40</td><td>700</td><td>31</td><td>29</td><td>33</td><td>11</td><td>12</td><td>12</td><td>1.12</td><td>1.09</td><td>1.07</td></tr><tr><td>8</td><td>[EMPTY_CELL]</td><td>60</td><td>80</td><td>300</td><td>47</td><td>46</td><td>38</td><td>13</td><td>13</td><td>14</td><td>1.26</td><td>1.18</td><td>1.22</td></tr><tr><td>9</td><td>[EMPTY_CELL]</td><td>30</td><td>120</td><td>500</td><td>42</td><td>38</td><td>40</td><td>12</td><td>12</td><td>11</td><td>1.13</td><td>1.11</td><td>1.07</td></tr><tr><td>Mean I</td><td>[EMPTY_CELL]</td><td>32.667</td><td>23.447</td><td>19.777</td><td rowspan=\\\"4\\\" colspan=\\\"9\\\">No. of Cells</td></tr><tr><td>Mean II</td><td>[EMPTY_CELL]</td><td>26.553</td><td>24.663</td><td>27.333</td></tr><tr><td>Mean III</td><td>[EMPTY_CELL]</td><td>15.223</td><td>26.333</td><td>27.333</td></tr><tr><td>Range</td><td>[EMPTY_CELL]</td><td>17.444</td><td>2.886</td><td>7.556</td></tr><tr><td>Mean I</td><td>[EMPTY_CELL]</td><td>13.443</td><td>13.000</td><td>14.443</td><td rowspan=\\\"4\\\" colspan=\\\"9\\\">Peak Diameter</td></tr><tr><td>Mean II</td><td>[EMPTY_CELL]</td><td>14.557</td><td>14.663</td><td>13.667</td></tr><tr><td>Mean III</td><td>[EMPTY_CELL]</td><td>15.000</td><td>15.337</td><td>14.890</td></tr><tr><td>Range</td><td>[EMPTY_CELL]</td><td>1.557</td><td>2.337</td><td>1.223</td></tr><tr><td>Mean I</td><td>[EMPTY_CELL]</td><td>1.290</td><td>1.243</td><td>1.323</td><td rowspan=\\\"4\\\" colspan=\\\"9\\\">Proliferation Ratio</td></tr><tr><td>Mean II</td><td>[EMPTY_CELL]</td><td>1.333</td><td>1.343</td><td>1.340</td></tr><tr><td>Mean III</td><td>[EMPTY_CELL]</td><td>1.357</td><td>1.393</td><td>1.317</td></tr><tr><td>Range</td><td>[EMPTY_CELL]</td><td>0.067</td><td>0.150</td><td>0.023</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>No.</b>\", \"bbox\": [1, 5, 13, 14]}, {\"cell\": \"<b><i>E</i> /μJ</b>\", \"bbox\": [46, 5, 64, 14]}, {\"cell\": \"<b><i>D</i> /μm</b>\", \"bbox\": [87, 5, 110, 14]}, {\"cell\": \"<b><i>T</i><sub><i>-t</i></sub>/nm</b>\", \"bbox\": [128, 5, 150, 14]}, {\"cell\": \"<b><i>l</i>/μm</b>\", \"bbox\": [169, 5, 186, 14]}, {\"cell\": \"<b>No. of Cells</b>\", \"bbox\": [210, 5, 248, 14]}, {\"cell\": \"<b>Peak Diameter<sup>a</sup></b>\", \"bbox\": [295, 3, 347, 14]}, {\"cell\": \"<b>Proliferation Ratio<sup>b</sup></b>\", \"bbox\": [394, 3, 456, 14]}, {\"cell\": \"1\", \"bbox\": [1, 18, 6, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 18, 52, 27]}, {\"cell\": \"45\", \"bbox\": [87, 18, 97, 27]}, {\"cell\": \"80\", \"bbox\": [128, 18, 138, 27]}, {\"cell\": \"500\", \"bbox\": [169, 18, 183, 27]}, {\"cell\": \"24\", \"bbox\": [210, 18, 220, 27]}, {\"cell\": \"25\", \"bbox\": [238, 18, 248, 27]}, {\"cell\": \"24\", \"bbox\": [267, 18, 277, 27]}, {\"cell\": \"16\", \"bbox\": [295, 18, 305, 27]}, {\"cell\": \"16\", \"bbox\": [328, 18, 338, 27]}, {\"cell\": \"17\", \"bbox\": [361, 18, 371, 27]}, {\"cell\": \"1.47\", \"bbox\": [394, 18, 409, 27]}, {\"cell\": \"1.48\", \"bbox\": [430, 18, 445, 27]}, {\"cell\": \"1.46\", \"bbox\": [466, 18, 481, 27]}, {\"cell\": \"2\", \"bbox\": [1, 32, 6, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 32, 52, 41]}, {\"cell\": \"30\", \"bbox\": [87, 32, 97, 41]}, {\"cell\": \"40\", \"bbox\": [128, 32, 138, 41]}, {\"cell\": \"300\", \"bbox\": [169, 32, 183, 41]}, {\"cell\": \"21\", \"bbox\": [210, 32, 220, 41]}, {\"cell\": \"22\", \"bbox\": [238, 32, 248, 41]}, {\"cell\": \"22\", \"bbox\": [267, 32, 277, 41]}, {\"cell\": \"15\", \"bbox\": [295, 32, 305, 41]}, {\"cell\": \"14\", \"bbox\": [328, 32, 338, 41]}, {\"cell\": \"14\", \"bbox\": [361, 32, 371, 41]}, {\"cell\": \"1.3\", \"bbox\": [394, 32, 405, 41]}, {\"cell\": \"1.32\", \"bbox\": [430, 32, 445, 41]}, {\"cell\": \"1.31\", \"bbox\": [466, 32, 481, 41]}, {\"cell\": \"3\", \"bbox\": [1, 46, 6, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 46, 52, 55]}, {\"cell\": \"60\", \"bbox\": [87, 46, 97, 55]}, {\"cell\": \"40\", \"bbox\": [128, 46, 138, 55]}, {\"cell\": \"500\", \"bbox\": [169, 46, 183, 55]}, {\"cell\": \"18\", \"bbox\": [210, 46, 220, 55]}, {\"cell\": \"16\", \"bbox\": [238, 46, 248, 55]}, {\"cell\": \"19\", \"bbox\": [267, 46, 277, 55]}, {\"cell\": \"13\", \"bbox\": [295, 46, 305, 55]}, {\"cell\": \"13\", \"bbox\": [328, 46, 338, 55]}, {\"cell\": \"13\", \"bbox\": [361, 46, 371, 55]}, {\"cell\": \"1.33\", \"bbox\": [394, 46, 409, 55]}, {\"cell\": \"1.33\", \"bbox\": [430, 46, 445, 55]}, {\"cell\": \"1.32\", \"bbox\": [466, 46, 481, 55]}, {\"cell\": \"4\", \"bbox\": [1, 60, 6, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 60, 52, 69]}, {\"cell\": \"30\", \"bbox\": [87, 60, 97, 69]}, {\"cell\": \"80\", \"bbox\": [128, 60, 138, 69]}, {\"cell\": \"700\", \"bbox\": [169, 60, 183, 69]}, {\"cell\": \"35\", \"bbox\": [210, 60, 220, 69]}, {\"cell\": \"37\", \"bbox\": [238, 60, 248, 69]}, {\"cell\": \"37\", \"bbox\": [267, 60, 277, 69]}, {\"cell\": \"15\", \"bbox\": [295, 60, 305, 69]}, {\"cell\": \"13\", \"bbox\": [328, 60, 338, 69]}, {\"cell\": \"15\", \"bbox\": [361, 60, 371, 69]}, {\"cell\": \"1.35\", \"bbox\": [394, 60, 409, 69]}, {\"cell\": \"1.32\", \"bbox\": [430, 60, 445, 69]}, {\"cell\": \"1.36\", \"bbox\": [466, 60, 481, 69]}, {\"cell\": \"5\", \"bbox\": [1, 74, 6, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 74, 52, 83]}, {\"cell\": \"60\", \"bbox\": [87, 74, 97, 83]}, {\"cell\": \"120\", \"bbox\": [128, 74, 142, 83]}, {\"cell\": \"700\", \"bbox\": [169, 74, 183, 83]}, {\"cell\": \"16\", \"bbox\": [210, 74, 220, 83]}, {\"cell\": \"14\", \"bbox\": [238, 74, 248, 83]}, {\"cell\": \"14\", \"bbox\": [267, 74, 277, 83]}, {\"cell\": \"19\", \"bbox\": [295, 74, 305, 83]}, {\"cell\": \"18\", \"bbox\": [328, 74, 338, 83]}, {\"cell\": \"19\", \"bbox\": [361, 74, 371, 83]}, {\"cell\": \"1.52\", \"bbox\": [394, 74, 409, 83]}, {\"cell\": \"1.54\", \"bbox\": [430, 74, 445, 83]}, {\"cell\": \"1.49\", \"bbox\": [466, 74, 481, 83]}, {\"cell\": \"6\", \"bbox\": [1, 88, 6, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 88, 52, 97]}, {\"cell\": \"45\", \"bbox\": [87, 88, 97, 97]}, {\"cell\": \"120\", \"bbox\": [128, 88, 142, 97]}, {\"cell\": \"300\", \"bbox\": [169, 88, 183, 97]}, {\"cell\": \"24\", \"bbox\": [210, 88, 220, 97]}, {\"cell\": \"25\", \"bbox\": [238, 88, 248, 97]}, {\"cell\": \"24\", \"bbox\": [267, 88, 277, 97]}, {\"cell\": \"15\", \"bbox\": [295, 88, 305, 97]}, {\"cell\": \"16\", \"bbox\": [328, 88, 338, 97]}, {\"cell\": \"16\", \"bbox\": [361, 88, 371, 97]}, {\"cell\": \"1.41\", \"bbox\": [394, 88, 409, 97]}, {\"cell\": \"1.46\", \"bbox\": [430, 88, 445, 97]}, {\"cell\": \"1.44\", \"bbox\": [466, 88, 481, 97]}, {\"cell\": \"7\", \"bbox\": [1, 102, 6, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 102, 56, 111]}, {\"cell\": \"45\", \"bbox\": [87, 102, 97, 111]}, {\"cell\": \"40\", \"bbox\": [128, 102, 138, 111]}, {\"cell\": \"700\", \"bbox\": [169, 102, 183, 111]}, {\"cell\": \"31\", \"bbox\": [210, 102, 220, 111]}, {\"cell\": \"29\", \"bbox\": [238, 102, 248, 111]}, {\"cell\": \"33\", \"bbox\": [267, 102, 277, 111]}, {\"cell\": \"11\", \"bbox\": [295, 102, 305, 111]}, {\"cell\": \"12\", \"bbox\": [328, 102, 338, 111]}, {\"cell\": \"12\", \"bbox\": [361, 102, 371, 111]}, {\"cell\": \"1.12\", \"bbox\": [394, 102, 409, 111]}, {\"cell\": \"1.09\", \"bbox\": [430, 102, 445, 111]}, {\"cell\": \"1.07\", \"bbox\": [466, 102, 481, 111]}, {\"cell\": \"8\", \"bbox\": [1, 116, 6, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 116, 56, 125]}, {\"cell\": \"60\", \"bbox\": [87, 116, 97, 125]}, {\"cell\": \"80\", \"bbox\": [128, 116, 138, 125]}, {\"cell\": \"300\", \"bbox\": [169, 116, 183, 125]}, {\"cell\": \"47\", \"bbox\": [210, 116, 220, 125]}, {\"cell\": \"46\", \"bbox\": [238, 116, 248, 125]}, {\"cell\": \"38\", \"bbox\": [267, 116, 277, 125]}, {\"cell\": \"13\", \"bbox\": [295, 116, 305, 125]}, {\"cell\": \"13\", \"bbox\": [328, 116, 338, 125]}, {\"cell\": \"14\", \"bbox\": [361, 116, 371, 125]}, {\"cell\": \"1.26\", \"bbox\": [394, 116, 409, 125]}, {\"cell\": \"1.18\", \"bbox\": [430, 116, 445, 125]}, {\"cell\": \"1.22\", \"bbox\": [466, 116, 481, 125]}, {\"cell\": \"9\", \"bbox\": [1, 130, 6, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 130, 56, 139]}, {\"cell\": \"30\", \"bbox\": [87, 130, 97, 139]}, {\"cell\": \"120\", \"bbox\": [128, 130, 142, 139]}, {\"cell\": \"500\", \"bbox\": [169, 130, 183, 139]}, {\"cell\": \"42\", \"bbox\": [210, 130, 220, 139]}, {\"cell\": \"38\", \"bbox\": [238, 130, 248, 139]}, {\"cell\": \"40\", \"bbox\": [267, 130, 277, 139]}, {\"cell\": \"12\", \"bbox\": [295, 130, 305, 139]}, {\"cell\": \"12\", \"bbox\": [328, 130, 338, 139]}, {\"cell\": \"11\", \"bbox\": [361, 130, 371, 139]}, {\"cell\": \"1.13\", \"bbox\": [394, 130, 409, 139]}, {\"cell\": \"1.11\", \"bbox\": [430, 130, 445, 139]}, {\"cell\": \"1.07\", \"bbox\": [466, 130, 481, 139]}, {\"cell\": \"Mean I\", \"bbox\": [1, 144, 24, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 144, 69, 153]}, {\"cell\": \"32.667\", \"bbox\": [87, 144, 109, 153]}, {\"cell\": \"23.447\", \"bbox\": [128, 144, 151, 153]}, {\"cell\": \"19.777\", \"bbox\": [169, 144, 192, 153]}, {\"cell\": \"No. of Cells\", \"bbox\": [210, 144, 248, 153]}, {\"cell\": \"Mean II\", \"bbox\": [1, 158, 26, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 158, 69, 167]}, {\"cell\": \"26.553\", \"bbox\": [87, 158, 109, 167]}, {\"cell\": \"24.663\", \"bbox\": [128, 158, 151, 167]}, {\"cell\": \"27.333\", \"bbox\": [169, 158, 192, 167]}, {\"cell\": \"Mean III\", \"bbox\": [1, 172, 28, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 172, 69, 181]}, {\"cell\": \"15.223\", \"bbox\": [87, 172, 109, 181]}, {\"cell\": \"26.333\", \"bbox\": [128, 172, 151, 181]}, {\"cell\": \"27.333\", \"bbox\": [169, 172, 192, 181]}, {\"cell\": \"Range\", \"bbox\": [1, 186, 22, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 186, 65, 195]}, {\"cell\": \"17.444\", \"bbox\": [87, 186, 109, 195]}, {\"cell\": \"2.886\", \"bbox\": [128, 186, 147, 195]}, {\"cell\": \"7.556\", \"bbox\": [169, 186, 188, 195]}, {\"cell\": \"Mean I\", \"bbox\": [1, 200, 24, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 200, 69, 209]}, {\"cell\": \"13.443\", \"bbox\": [87, 200, 109, 209]}, {\"cell\": \"13.000\", \"bbox\": [128, 200, 151, 209]}, {\"cell\": \"14.443\", \"bbox\": [169, 200, 192, 209]}, {\"cell\": \"Peak Diameter\", \"bbox\": [210, 200, 258, 209]}, {\"cell\": \"Mean II\", \"bbox\": [1, 214, 26, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 214, 69, 223]}, {\"cell\": \"14.557\", \"bbox\": [87, 214, 109, 223]}, {\"cell\": \"14.663\", \"bbox\": [128, 214, 151, 223]}, {\"cell\": \"13.667\", \"bbox\": [169, 214, 192, 223]}, {\"cell\": \"Mean III\", \"bbox\": [1, 228, 28, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 228, 69, 237]}, {\"cell\": \"15.000\", \"bbox\": [87, 228, 109, 237]}, {\"cell\": \"15.337\", \"bbox\": [128, 228, 151, 237]}, {\"cell\": \"14.890\", \"bbox\": [169, 228, 192, 237]}, {\"cell\": \"Range\", \"bbox\": [1, 242, 22, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 242, 65, 251]}, {\"cell\": \"1.557\", \"bbox\": [87, 242, 106, 251]}, {\"cell\": \"2.337\", \"bbox\": [128, 242, 147, 251]}, {\"cell\": \"1.223\", \"bbox\": [169, 242, 188, 251]}, {\"cell\": \"Mean I\", \"bbox\": [1, 256, 24, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 256, 65, 265]}, {\"cell\": \"1.290\", \"bbox\": [87, 256, 106, 265]}, {\"cell\": \"1.243\", \"bbox\": [128, 256, 147, 265]}, {\"cell\": \"1.323\", \"bbox\": [169, 256, 188, 265]}, {\"cell\": \"Proliferation Ratio\", \"bbox\": [210, 256, 268, 265]}, {\"cell\": \"Mean II\", \"bbox\": [1, 270, 26, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 270, 65, 279]}, {\"cell\": \"1.333\", \"bbox\": [87, 270, 106, 279]}, {\"cell\": \"1.343\", \"bbox\": [128, 270, 147, 279]}, {\"cell\": \"1.340\", \"bbox\": [169, 270, 188, 279]}, {\"cell\": \"Mean III\", \"bbox\": [1, 284, 28, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 284, 65, 293]}, {\"cell\": \"1.357\", \"bbox\": [87, 284, 106, 293]}, {\"cell\": \"1.393\", \"bbox\": [128, 284, 147, 293]}, {\"cell\": \"1.317\", \"bbox\": [169, 284, 188, 293]}, {\"cell\": \"Range\", \"bbox\": [1, 298, 22, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 298, 65, 307]}, {\"cell\": \"0.067\", \"bbox\": [87, 298, 106, 307]}, {\"cell\": \"0.150\", \"bbox\": [128, 298, 147, 307]}, {\"cell\": \"0.023\", \"bbox\": [169, 298, 188, 307]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5237295_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}294{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Apicomplexan species </b></td><td><b>Ortho-MCL<sup>a</sup></b></td><td><b>BLAST<sup>b</sup></b></td><td><b>Confirmed<sup>c</sup></b></td><td><b>All combined<sup>d</sup></b></td><td><b>Conflicts removed<sup>e</sup></b></td><td><b>Non-SP filtered<sup>f</sup></b></td></tr></thead><tbody><tr><td><i>B. bovis </i></td><td>46 </td><td>45 </td><td>4 </td><td>61 </td><td>59 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>B. microti </i></td><td>51 </td><td>50 </td><td>0 </td><td>61 </td><td>58 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>C. hominis </i></td><td>17 </td><td>24 </td><td>0 </td><td>28 </td><td>25 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>C. muris </i></td><td>19 </td><td>27 </td><td>0 </td><td>32 </td><td>29 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>C. parvum </i></td><td>17 </td><td>24 </td><td>0 </td><td>29 </td><td>26 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>E. tenella </i></td><td>82 </td><td>61 </td><td>1 </td><td>89 </td><td>84 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>N. caninum </i></td><td>78 </td><td>68 </td><td>0 </td><td>82 </td><td>77 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>P. berghei </i></td><td>72 </td><td>73 </td><td>0 </td><td>77 </td><td>73 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>P. chabaudi </i></td><td>72 </td><td>73 </td><td>0 </td><td>77 </td><td>72 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>P. cynomolgi </i></td><td>70 </td><td>72 </td><td>0 </td><td>77 </td><td>73 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>P. falciparum </i></td><td>45 </td><td>60 </td><td>40 </td><td>89 </td><td>85 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>P. knowlesi </i></td><td>72 </td><td>72 </td><td>0 </td><td>77 </td><td>73 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>P. vivax </i></td><td>69 </td><td>72 </td><td>0 </td><td>75 </td><td>71 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>P. yoelii </i></td><td>70 </td><td>68 </td><td>3 </td><td>77 </td><td>73 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>T. annulata </i></td><td>45 </td><td>47 </td><td>0 </td><td>56 </td><td>54 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>T. parva </i></td><td>49 </td><td>42 </td><td>0 </td><td>59 </td><td>57 </td><td>[EMPTY_CELL]</td></tr><tr><td><i>T. gondii </i></td><td>53 </td><td>59 </td><td>45 </td><td>102 </td><td>96 </td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Apicomplexan species </b>\", \"bbox\": [2, 4, 84, 15]}, {\"cell\": \"<b>Ortho-MCL<sup>a</sup></b>\", \"bbox\": [97, 2, 146, 15]}, {\"cell\": \"<b>BLAST<sup>b</sup></b>\", \"bbox\": [165, 2, 196, 15]}, {\"cell\": \"<b>Confirmed<sup>c</sup></b>\", \"bbox\": [214, 2, 258, 15]}, {\"cell\": \"<b>All combined<sup>d</sup></b>\", \"bbox\": [276, 2, 331, 15]}, {\"cell\": \"<b>Conflicts removed<sup>e</sup></b>\", \"bbox\": [349, 2, 420, 15]}, {\"cell\": \"<b>Non-SP filtered<sup>f</sup></b>\", \"bbox\": [438, 2, 498, 15]}, {\"cell\": \"<i>B. bovis </i>\", \"bbox\": [2, 17, 32, 28]}, {\"cell\": \"46 \", \"bbox\": [117, 17, 128, 28]}, {\"cell\": \"45 \", \"bbox\": [175, 17, 186, 28]}, {\"cell\": \"4 \", \"bbox\": [233, 17, 239, 28]}, {\"cell\": \"61 \", \"bbox\": [299, 17, 308, 28]}, {\"cell\": \"59 \", \"bbox\": [380, 17, 390, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 17, 473, 28]}, {\"cell\": \"<i>B. microti </i>\", \"bbox\": [2, 29, 39, 40]}, {\"cell\": \"51 \", \"bbox\": [118, 29, 127, 40]}, {\"cell\": \"50 \", \"bbox\": [175, 29, 186, 40]}, {\"cell\": \"0 \", \"bbox\": [233, 29, 239, 40]}, {\"cell\": \"61 \", \"bbox\": [299, 29, 308, 40]}, {\"cell\": \"58 \", \"bbox\": [380, 29, 390, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 29, 474, 40]}, {\"cell\": \"<i>C. hominis </i>\", \"bbox\": [2, 42, 42, 53]}, {\"cell\": \"17 \", \"bbox\": [118, 42, 127, 53]}, {\"cell\": \"24 \", \"bbox\": [175, 42, 186, 53]}, {\"cell\": \"0 \", \"bbox\": [233, 42, 239, 53]}, {\"cell\": \"28 \", \"bbox\": [299, 42, 309, 53]}, {\"cell\": \"25 \", \"bbox\": [380, 42, 390, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 42, 471, 53]}, {\"cell\": \"<i>C. muris </i>\", \"bbox\": [2, 54, 35, 65]}, {\"cell\": \"19 \", \"bbox\": [117, 54, 127, 65]}, {\"cell\": \"27 \", \"bbox\": [175, 54, 186, 65]}, {\"cell\": \"0 \", \"bbox\": [233, 54, 239, 65]}, {\"cell\": \"32 \", \"bbox\": [299, 54, 309, 65]}, {\"cell\": \"29 \", \"bbox\": [379, 54, 390, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 54, 472, 65]}, {\"cell\": \"<i>C. parvum </i>\", \"bbox\": [2, 67, 42, 77]}, {\"cell\": \"17 \", \"bbox\": [118, 67, 127, 77]}, {\"cell\": \"24 \", \"bbox\": [175, 67, 186, 77]}, {\"cell\": \"0 \", \"bbox\": [233, 67, 239, 77]}, {\"cell\": \"29 \", \"bbox\": [298, 67, 309, 77]}, {\"cell\": \"26 \", \"bbox\": [379, 67, 390, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 67, 472, 77]}, {\"cell\": \"<i>E. tenella </i>\", \"bbox\": [2, 79, 37, 90]}, {\"cell\": \"82 \", \"bbox\": [117, 79, 127, 90]}, {\"cell\": \"61 \", \"bbox\": [176, 79, 185, 90]}, {\"cell\": \"1 \", \"bbox\": [234, 79, 239, 90]}, {\"cell\": \"89 \", \"bbox\": [298, 79, 309, 90]}, {\"cell\": \"84 \", \"bbox\": [379, 79, 390, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 79, 474, 90]}, {\"cell\": \"<i>N. caninum </i>\", \"bbox\": [2, 92, 46, 102]}, {\"cell\": \"78 \", \"bbox\": [117, 92, 127, 102]}, {\"cell\": \"68 \", \"bbox\": [175, 92, 186, 102]}, {\"cell\": \"0 \", \"bbox\": [233, 92, 239, 102]}, {\"cell\": \"82 \", \"bbox\": [299, 92, 309, 102]}, {\"cell\": \"77 \", \"bbox\": [380, 92, 390, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 92, 473, 102]}, {\"cell\": \"<i>P. berghei </i>\", \"bbox\": [2, 104, 38, 115]}, {\"cell\": \"72 \", \"bbox\": [117, 104, 127, 115]}, {\"cell\": \"73 \", \"bbox\": [175, 104, 185, 115]}, {\"cell\": \"0 \", \"bbox\": [233, 104, 239, 115]}, {\"cell\": \"77 \", \"bbox\": [299, 104, 309, 115]}, {\"cell\": \"73 \", \"bbox\": [380, 104, 390, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 104, 474, 115]}, {\"cell\": \"<i>P. chabaudi </i>\", \"bbox\": [2, 117, 45, 127]}, {\"cell\": \"72 \", \"bbox\": [117, 117, 127, 127]}, {\"cell\": \"73 \", \"bbox\": [175, 117, 185, 127]}, {\"cell\": \"0 \", \"bbox\": [233, 117, 239, 127]}, {\"cell\": \"77 \", \"bbox\": [299, 117, 309, 127]}, {\"cell\": \"72 \", \"bbox\": [380, 117, 390, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 117, 473, 127]}, {\"cell\": \"<i>P. cynomolgi </i>\", \"bbox\": [2, 129, 48, 140]}, {\"cell\": \"70 \", \"bbox\": [117, 129, 127, 140]}, {\"cell\": \"72 \", \"bbox\": [175, 129, 185, 140]}, {\"cell\": \"0 \", \"bbox\": [233, 129, 239, 140]}, {\"cell\": \"77 \", \"bbox\": [299, 129, 309, 140]}, {\"cell\": \"73 \", \"bbox\": [380, 129, 390, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 129, 473, 140]}, {\"cell\": \"<i>P. falciparum </i>\", \"bbox\": [2, 141, 51, 152]}, {\"cell\": \"45 \", \"bbox\": [117, 141, 127, 152]}, {\"cell\": \"60 \", \"bbox\": [175, 141, 186, 152]}, {\"cell\": \"40 \", \"bbox\": [231, 141, 242, 152]}, {\"cell\": \"89 \", \"bbox\": [298, 141, 309, 152]}, {\"cell\": \"85 \", \"bbox\": [380, 141, 390, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 141, 474, 152]}, {\"cell\": \"<i>P. knowlesi </i>\", \"bbox\": [2, 154, 42, 165]}, {\"cell\": \"72 \", \"bbox\": [117, 154, 127, 165]}, {\"cell\": \"72 \", \"bbox\": [175, 154, 185, 165]}, {\"cell\": \"0 \", \"bbox\": [233, 154, 239, 165]}, {\"cell\": \"77 \", \"bbox\": [299, 154, 309, 165]}, {\"cell\": \"73 \", \"bbox\": [380, 154, 390, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 154, 474, 165]}, {\"cell\": \"<i>P. vivax </i>\", \"bbox\": [2, 166, 31, 177]}, {\"cell\": \"69 \", \"bbox\": [117, 166, 127, 177]}, {\"cell\": \"72 \", \"bbox\": [175, 166, 185, 177]}, {\"cell\": \"0 \", \"bbox\": [233, 166, 239, 177]}, {\"cell\": \"75 \", \"bbox\": [299, 166, 309, 177]}, {\"cell\": \"71 \", \"bbox\": [380, 166, 389, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 166, 473, 177]}, {\"cell\": \"<i>P. yoelii </i>\", \"bbox\": [2, 179, 31, 190]}, {\"cell\": \"70 \", \"bbox\": [117, 179, 127, 190]}, {\"cell\": \"68 \", \"bbox\": [175, 179, 186, 190]}, {\"cell\": \"3 \", \"bbox\": [233, 179, 239, 190]}, {\"cell\": \"77 \", \"bbox\": [299, 179, 309, 190]}, {\"cell\": \"73 \", \"bbox\": [380, 179, 390, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 179, 473, 190]}, {\"cell\": \"<i>T. annulata </i>\", \"bbox\": [2, 191, 45, 202]}, {\"cell\": \"45 \", \"bbox\": [117, 191, 127, 202]}, {\"cell\": \"47 \", \"bbox\": [175, 191, 186, 202]}, {\"cell\": \"0 \", \"bbox\": [233, 191, 239, 202]}, {\"cell\": \"56 \", \"bbox\": [298, 191, 309, 202]}, {\"cell\": \"54 \", \"bbox\": [379, 191, 390, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 191, 474, 202]}, {\"cell\": \"<i>T. parva </i>\", \"bbox\": [2, 204, 34, 214]}, {\"cell\": \"49 \", \"bbox\": [117, 204, 128, 214]}, {\"cell\": \"42 \", \"bbox\": [175, 204, 186, 214]}, {\"cell\": \"0 \", \"bbox\": [233, 204, 239, 214]}, {\"cell\": \"59 \", \"bbox\": [299, 204, 309, 214]}, {\"cell\": \"57 \", \"bbox\": [380, 204, 390, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 204, 474, 214]}, {\"cell\": \"<i>T. gondii </i>\", \"bbox\": [2, 216, 35, 227]}, {\"cell\": \"53 \", \"bbox\": [117, 216, 127, 227]}, {\"cell\": \"59 \", \"bbox\": [175, 216, 186, 227]}, {\"cell\": \"45 \", \"bbox\": [231, 216, 241, 227]}, {\"cell\": \"102 \", \"bbox\": [297, 216, 310, 227]}, {\"cell\": \"96 \", \"bbox\": [379, 216, 390, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 216, 474, 227]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4324891_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}295{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>ID</b></td><td><b>Size</b></td><td><b>Proteins in the predicted module</b></td><td><b>Real protein module</b></td><td><b>MR(%)</b></td><td colspan=\\\"3\\\"><b>p-values</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Biological</b></td><td><b>Cellular</b></td><td><b>Molecular</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>5</td><td>yyor132w yor069w yjl154c yhr012w yjl053w</td><td>Retromer module</td><td>100</td><td>3.13e-09</td><td>5.58e-13</td><td>4.67e-08</td></tr><tr><td>[EMPTY_CELL]</td><td>12</td><td>ykl022c ynl172w yfr036w yhr166c ybl084c ylr127c</td><td>Anaphase-promoting</td><td>100</td><td>4.62e-22</td><td>2.08e-28</td><td>4.13e-15</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>yor249c ygl240w ylr102c ydl008w ydr118w ygr225w</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>yar003w ybr175w ydr469w ylr015w yhr119w ypl138c</td><td>COMPASS module</td><td>100</td><td>4.31e-17</td><td>4.31e-17</td><td>6.70e-21</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>ybr258c ykl018w</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>ymr309c ynl244c ypr041w yor361c ymr146c ydr429c</td><td>eIF1/eIF3/eIF5 module</td><td>80</td><td>7.12e-10</td><td>2.05e-14</td><td>1.51e-13</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>yil071c ybr079c ynl062c ylr192c</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>16</td><td>ydr195w ydr228c yor250c ymr061w ypr107c yjr093c</td><td>mRNA cleavage factor</td><td>93.8</td><td>6.79e-26</td><td>4.48e-33</td><td>1.92e-11</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>ykr002w ydr301w ylr115w yal043c ylr277c ynl317w</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>ykl059c yor179c ynl222w ydl094c</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>yjl194w yml065w ybr060c yll004w ypr162c ynl261w</td><td>DNA replication preinitiation</td><td>100</td><td>5.38e-14</td><td>4.19e-15</td><td>2.64e-12</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>yhr118c</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>13</td><td>yor076c ygr158c ydl111c ygr195w ydr280w yol021c</td><td>Exosome</td><td>100</td><td>2.62e-28</td><td>4.57e-30</td><td>4.36e-02</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>yhr069c ynl232w yol142w ycr035c ygr095c yor001w</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>yhr081w</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>ynr003c ypr190c ypr110c ynl113w yor116c ydr045c</td><td>RNA polymerase III</td><td>100</td><td>1.93e-15</td><td>4.50e-16</td><td>4.50e-16</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>yor207c yfr011c ynl248c ykl144c</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>ybl023c ylr103c ylr274w yil150c yel032w ybr202w</td><td>DNA replication preinitiation</td><td>75</td><td>2.93e-12</td><td>2.93e-12</td><td>3.92e-11</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>ymr216c ygl201c</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>ylr418c ybr279w yol145c yor123c ygl244w yml010w</td><td>Transcription elongation factor</td><td>100</td><td>7.43e-15</td><td>4.11e-11</td><td>2.63e-12</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>ID</b>\", \"bbox\": [1, 5, 10, 14]}, {\"cell\": \"<b>Size</b>\", \"bbox\": [19, 5, 35, 14]}, {\"cell\": \"<b>Proteins in the predicted module</b>\", \"bbox\": [71, 5, 187, 14]}, {\"cell\": \"<b>Real protein module</b>\", \"bbox\": [237, 5, 309, 14]}, {\"cell\": \"<b>MR(%)</b>\", \"bbox\": [332, 5, 357, 14]}, {\"cell\": \"<b>p-values</b>\", \"bbox\": [409, 5, 441, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Biological</b>\", \"bbox\": [365, 18, 402, 27]}, {\"cell\": \"<b>Cellular</b>\", \"bbox\": [410, 18, 439, 27]}, {\"cell\": \"<b>Molecular</b>\", \"bbox\": [448, 18, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 32, 8, 41]}, {\"cell\": \"5\", \"bbox\": [24, 32, 30, 41]}, {\"cell\": \"yyor132w yor069w yjl154c yhr012w yjl053w\", \"bbox\": [58, 32, 200, 41]}, {\"cell\": \"Retromer module\", \"bbox\": [244, 32, 303, 41]}, {\"cell\": \"100\", \"bbox\": [332, 32, 346, 41]}, {\"cell\": \"3.13e-09\", \"bbox\": [369, 32, 398, 41]}, {\"cell\": \"5.58e-13\", \"bbox\": [410, 32, 439, 41]}, {\"cell\": \"4.67e-08\", \"bbox\": [452, 32, 481, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 46, 8, 55]}, {\"cell\": \"12\", \"bbox\": [22, 46, 32, 55]}, {\"cell\": \"ykl022c ynl172w yfr036w yhr166c ybl084c ylr127c\", \"bbox\": [49, 46, 209, 55]}, {\"cell\": \"Anaphase-promoting\", \"bbox\": [238, 46, 309, 55]}, {\"cell\": \"100\", \"bbox\": [332, 46, 346, 55]}, {\"cell\": \"4.62e-22\", \"bbox\": [369, 46, 398, 55]}, {\"cell\": \"2.08e-28\", \"bbox\": [410, 46, 439, 55]}, {\"cell\": \"4.13e-15\", \"bbox\": [452, 46, 481, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yor249c ygl240w ylr102c ydl008w ydr118w ygr225w\", \"bbox\": [45, 59, 213, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 73, 8, 82]}, {\"cell\": \"8\", \"bbox\": [24, 73, 30, 82]}, {\"cell\": \"yar003w ybr175w ydr469w ylr015w yhr119w ypl138c\", \"bbox\": [44, 73, 214, 82]}, {\"cell\": \"COMPASS module\", \"bbox\": [243, 73, 304, 82]}, {\"cell\": \"100\", \"bbox\": [332, 73, 346, 82]}, {\"cell\": \"4.31e-17\", \"bbox\": [369, 73, 398, 82]}, {\"cell\": \"4.31e-17\", \"bbox\": [410, 73, 439, 82]}, {\"cell\": \"6.70e-21\", \"bbox\": [452, 73, 481, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ybr258c ykl018w\", \"bbox\": [101, 87, 157, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 100, 8, 110]}, {\"cell\": \"10\", \"bbox\": [22, 100, 32, 110]}, {\"cell\": \"ymr309c ynl244c ypr041w yor361c ymr146c ydr429c\", \"bbox\": [44, 100, 214, 110]}, {\"cell\": \"eIF1/eIF3/eIF5 module\", \"bbox\": [236, 100, 310, 110]}, {\"cell\": \"80\", \"bbox\": [332, 100, 342, 110]}, {\"cell\": \"7.12e-10\", \"bbox\": [369, 100, 398, 110]}, {\"cell\": \"2.05e-14\", \"bbox\": [410, 100, 439, 110]}, {\"cell\": \"1.51e-13\", \"bbox\": [452, 100, 481, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yil071c ybr079c ynl062c ylr192c\", \"bbox\": [78, 114, 180, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 127, 8, 137]}, {\"cell\": \"16\", \"bbox\": [22, 127, 32, 137]}, {\"cell\": \"ydr195w ydr228c yor250c ymr061w ypr107c yjr093c\", \"bbox\": [45, 127, 213, 137]}, {\"cell\": \"mRNA cleavage factor\", \"bbox\": [237, 127, 310, 137]}, {\"cell\": \"93.8\", \"bbox\": [332, 127, 347, 137]}, {\"cell\": \"6.79e-26\", \"bbox\": [369, 127, 398, 137]}, {\"cell\": \"4.48e-33\", \"bbox\": [410, 127, 439, 137]}, {\"cell\": \"1.92e-11\", \"bbox\": [452, 127, 481, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ykr002w ydr301w ylr115w yal043c ylr277c ynl317w\", \"bbox\": [47, 141, 211, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ykl059c yor179c ynl222w ydl094c\", \"bbox\": [75, 155, 183, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 168, 8, 178]}, {\"cell\": \"7\", \"bbox\": [24, 168, 30, 178]}, {\"cell\": \"yjl194w yml065w ybr060c yll004w ypr162c ynl261w\", \"bbox\": [45, 168, 212, 178]}, {\"cell\": \"DNA replication preinitiation\", \"bbox\": [227, 168, 320, 178]}, {\"cell\": \"100\", \"bbox\": [332, 168, 346, 178]}, {\"cell\": \"5.38e-14\", \"bbox\": [369, 168, 398, 178]}, {\"cell\": \"4.19e-15\", \"bbox\": [410, 168, 439, 178]}, {\"cell\": \"2.64e-12\", \"bbox\": [452, 168, 481, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yhr118c\", \"bbox\": [115, 182, 143, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 196, 8, 205]}, {\"cell\": \"13\", \"bbox\": [22, 196, 32, 205]}, {\"cell\": \"yor076c ygr158c ydl111c ygr195w ydr280w yol021c\", \"bbox\": [46, 196, 212, 205]}, {\"cell\": \"Exosome\", \"bbox\": [258, 196, 289, 205]}, {\"cell\": \"100\", \"bbox\": [332, 196, 346, 205]}, {\"cell\": \"2.62e-28\", \"bbox\": [369, 196, 398, 205]}, {\"cell\": \"4.57e-30\", \"bbox\": [410, 196, 439, 205]}, {\"cell\": \"4.36e-02\", \"bbox\": [452, 196, 481, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yhr069c ynl232w yol142w ycr035c ygr095c yor001w\", \"bbox\": [45, 209, 213, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yhr081w\", \"bbox\": [114, 223, 144, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 237, 8, 246]}, {\"cell\": \"10\", \"bbox\": [22, 237, 32, 246]}, {\"cell\": \"ynr003c ypr190c ypr110c ynl113w yor116c ydr045c\", \"bbox\": [46, 237, 212, 246]}, {\"cell\": \"RNA polymerase III\", \"bbox\": [242, 237, 304, 246]}, {\"cell\": \"100\", \"bbox\": [332, 237, 346, 246]}, {\"cell\": \"1.93e-15\", \"bbox\": [369, 237, 398, 246]}, {\"cell\": \"4.50e-16\", \"bbox\": [410, 237, 439, 246]}, {\"cell\": \"4.50e-16\", \"bbox\": [452, 237, 481, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"yor207c yfr011c ynl248c ykl144c\", \"bbox\": [77, 250, 181, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 264, 8, 274]}, {\"cell\": \"8\", \"bbox\": [24, 264, 30, 274]}, {\"cell\": \"ybl023c ylr103c ylr274w yil150c yel032w ybr202w\", \"bbox\": [49, 264, 209, 274]}, {\"cell\": \"DNA replication preinitiation\", \"bbox\": [227, 264, 320, 274]}, {\"cell\": \"75\", \"bbox\": [332, 264, 342, 274]}, {\"cell\": \"2.93e-12\", \"bbox\": [369, 264, 398, 274]}, {\"cell\": \"2.93e-12\", \"bbox\": [410, 264, 439, 274]}, {\"cell\": \"3.92e-11\", \"bbox\": [452, 264, 481, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ymr216c ygl201c\", \"bbox\": [101, 278, 157, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 291, 10, 301]}, {\"cell\": \"6\", \"bbox\": [24, 291, 30, 301]}, {\"cell\": \"ylr418c ybr279w yol145c yor123c ygl244w yml010w\", \"bbox\": [45, 291, 213, 301]}, {\"cell\": \"Transcription elongation factor\", \"bbox\": [223, 291, 323, 301]}, {\"cell\": \"100\", \"bbox\": [332, 291, 346, 301]}, {\"cell\": \"7.43e-15\", \"bbox\": [369, 291, 398, 301]}, {\"cell\": \"4.11e-11\", \"bbox\": [410, 291, 439, 301]}, {\"cell\": \"2.63e-12\", \"bbox\": [452, 291, 481, 301]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4262229_021_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}296{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Comparative data</b></td><td><b>Area Under the ROC Curve (AUC), Standard Error (95% CI)</b></td><td><b>Sensitivity% (95% CI)</b></td><td><b>Specificity% (95% CI)</b></td><td><b>Likelihood ratio</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Cohort 1</td><td>[EMPTY_CELL]</td><td>0.90, 0.043 (0.82 to 0.98)</td><td>82.61 (61.22 to 95.05)</td><td>84.85 (68.10 to 94.89)</td><td>5.45</td></tr><tr><td>Oral swab from oral cancer subjects: Oral rinse from healthy controls</td><td>[EMPTY_CELL]</td><td>91.30 (71.96 to 98.93)</td><td>84.85 (68.10 to 94.89)</td><td>6.03</td></tr><tr><td rowspan=\\\"2\\\">Cohort 2</td><td>[EMPTY_CELL]</td><td>0.93, 0.03 (0.88 to 0.99)</td><td>88.10 (74.37 to 96.02)</td><td>92.59 (82.11 to 97.94)</td><td>11.89</td></tr><tr><td>Oral rinse from oropharyngeal cancer subjects: Oral rinse from healthy controls</td><td>[EMPTY_CELL]</td><td>82.61 (61.22 to 95.05)</td><td>92.59 (82.11 to 97.94)</td><td>11.15</td></tr><tr><td>Cohort 1 + 2</td><td>[EMPTY_CELL]</td><td>0.93, 0.02 (0.88 to 0.97)</td><td>86.15 (75.34 to 93.47)</td><td>89.66 (81.27 to 95.16)</td><td>8.33</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Comparative data</b>\", \"bbox\": [34, 4, 92, 13]}, {\"cell\": \"<b>Area Under the ROC Curve (AUC), Standard Error (95% CI)</b>\", \"bbox\": [212, 4, 322, 22]}, {\"cell\": \"<b>Sensitivity% (95% CI)</b>\", \"bbox\": [343, 4, 382, 22]}, {\"cell\": \"<b>Specificity% (95% CI)</b>\", \"bbox\": [395, 4, 435, 22]}, {\"cell\": \"<b>Likelihood ratio</b>\", \"bbox\": [447, 4, 482, 22]}, {\"cell\": \"Cohort 1\", \"bbox\": [1, 26, 24, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 26, 200, 45]}, {\"cell\": \"0.90, 0.043 (0.82 to 0.98)\", \"bbox\": [212, 26, 290, 36]}, {\"cell\": \"82.61 (61.22 to 95.05)\", \"bbox\": [343, 26, 383, 45]}, {\"cell\": \"84.85 (68.10 to 94.89)\", \"bbox\": [395, 26, 435, 45]}, {\"cell\": \"5.45\", \"bbox\": [447, 26, 462, 36]}, {\"cell\": \"Oral swab from oral cancer subjects: Oral rinse from healthy controls\", \"bbox\": [34, 49, 202, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 49, 286, 59]}, {\"cell\": \"91.30 (71.96 to 98.93)\", \"bbox\": [343, 49, 383, 68]}, {\"cell\": \"84.85 (68.10 to 94.89)\", \"bbox\": [395, 49, 435, 68]}, {\"cell\": \"6.03\", \"bbox\": [447, 49, 462, 59]}, {\"cell\": \"Cohort 2\", \"bbox\": [1, 72, 24, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 72, 200, 91]}, {\"cell\": \"0.93, 0.03 (0.88 to 0.99)\", \"bbox\": [212, 72, 286, 82]}, {\"cell\": \"88.10 (74.37 to 96.02)\", \"bbox\": [343, 72, 383, 91]}, {\"cell\": \"92.59 (82.11 to 97.94)\", \"bbox\": [395, 72, 435, 91]}, {\"cell\": \"11.89\", \"bbox\": [447, 72, 466, 82]}, {\"cell\": \"Oral rinse from oropharyngeal cancer subjects: Oral rinse from healthy controls\", \"bbox\": [34, 95, 200, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 95, 286, 105]}, {\"cell\": \"82.61 (61.22 to 95.05)\", \"bbox\": [343, 95, 383, 114]}, {\"cell\": \"92.59 (82.11 to 97.94)\", \"bbox\": [395, 95, 435, 114]}, {\"cell\": \"11.15\", \"bbox\": [447, 95, 466, 105]}, {\"cell\": \"Cohort 1 + 2\", \"bbox\": [1, 118, 24, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 118, 200, 137]}, {\"cell\": \"0.93, 0.02 (0.88 to 0.97)\", \"bbox\": [212, 118, 286, 128]}, {\"cell\": \"86.15 (75.34 to 93.47)\", \"bbox\": [343, 118, 383, 137]}, {\"cell\": \"89.66 (81.27 to 95.16)\", \"bbox\": [395, 118, 435, 137]}, {\"cell\": \"8.33\", \"bbox\": [447, 118, 462, 128]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6080527_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}297{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Study</b></td><td><b>Region</b></td><td><b>Diagnostic criteria</b></td><td><b>Prevalence (per million population)</b></td><td><b>Prevalence > 50 yrs (per million population)</b></td></tr></thead><tbody><tr><td>Lingberg et al.[2]</td><td>Sweden</td><td>[EMPTY_CELL]</td><td>2.2</td><td>n/a</td></tr><tr><td>Kaipiainen-Seppanen and Aho[4]</td><td>Finland</td><td>[EMPTY_CELL]</td><td>0.9</td><td>n/a</td></tr><tr><td>Philips et al.[5]</td><td>Australia</td><td>[EMPTY_CELL]</td><td>9.3</td><td>35.3</td></tr><tr><td>Badrising et al.[3]</td><td>Netherlands</td><td>[EMPTY_CELL]</td><td>4.9</td><td>16</td></tr><tr><td>Felice and North (Connecticut, USA)[6]</td><td>Connecticut, USA</td><td>[EMPTY_CELL]</td><td>10.7</td><td>28.9 (>45 yrs)</td></tr><tr><td>Needham et al.[1]</td><td>Western Australia</td><td>[EMPTY_CELL]</td><td>14.9</td><td>51.2</td></tr><tr><td>Wilson et al.[7]</td><td>Olmsted County, USA</td><td>[EMPTY_CELL]</td><td>71</td><td>n/a</td></tr><tr><td>Oflazer et al.[8]</td><td>Istanbul, Turkey</td><td>[EMPTY_CELL]</td><td>1.0</td><td>6.0</td></tr><tr><td rowspan=\\\"2\\\">Suzuki et al.[9]</td><td rowspan=\\\"2\\\">Japan</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>1.3 (in 1991)</td><td>n/a</td></tr><tr><td>9.8 (in 2003)</td><td>n/a</td></tr><tr><td>Tan et al.[10]</td><td>South Australia</td><td>[EMPTY_CELL]</td><td>50.5</td><td>139.3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study</b>\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"<b>Region</b>\", \"bbox\": [131, 4, 157, 13]}, {\"cell\": \"<b>Diagnostic criteria</b>\", \"bbox\": [213, 4, 278, 13]}, {\"cell\": \"<b>Prevalence (per million population)</b>\", \"bbox\": [314, 4, 394, 22]}, {\"cell\": \"<b>Prevalence > 50 yrs (per million population)</b>\", \"bbox\": [404, 4, 484, 22]}, {\"cell\": \"Lingberg et al.[2]\", \"bbox\": [1, 26, 59, 36]}, {\"cell\": \"Sweden\", \"bbox\": [131, 26, 159, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 26, 290, 36]}, {\"cell\": \"2.2\", \"bbox\": [314, 26, 325, 36]}, {\"cell\": \"n/a\", \"bbox\": [404, 26, 417, 36]}, {\"cell\": \"Kaipiainen-Seppanen and Aho[4]\", \"bbox\": [1, 40, 110, 50]}, {\"cell\": \"Finland\", \"bbox\": [131, 40, 157, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 40, 264, 50]}, {\"cell\": \"0.9\", \"bbox\": [314, 40, 325, 50]}, {\"cell\": \"n/a\", \"bbox\": [404, 40, 417, 50]}, {\"cell\": \"Philips et al.[5]\", \"bbox\": [1, 54, 51, 64]}, {\"cell\": \"Australia\", \"bbox\": [131, 54, 160, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 54, 276, 64]}, {\"cell\": \"9.3\", \"bbox\": [314, 54, 325, 64]}, {\"cell\": \"35.3\", \"bbox\": [404, 54, 419, 64]}, {\"cell\": \"Badrising et al.[3]\", \"bbox\": [1, 68, 59, 78]}, {\"cell\": \"Netherlands\", \"bbox\": [131, 68, 171, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 68, 258, 78]}, {\"cell\": \"4.9\", \"bbox\": [314, 68, 325, 78]}, {\"cell\": \"16\", \"bbox\": [404, 68, 414, 78]}, {\"cell\": \"Felice and North (Connecticut, USA)[6]\", \"bbox\": [1, 82, 121, 92]}, {\"cell\": \"Connecticut, USA\", \"bbox\": [131, 82, 189, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 82, 276, 92]}, {\"cell\": \"10.7\", \"bbox\": [314, 82, 329, 92]}, {\"cell\": \"28.9 (>45 yrs)\", \"bbox\": [404, 82, 449, 92]}, {\"cell\": \"Needham et al.[1]\", \"bbox\": [1, 96, 62, 106]}, {\"cell\": \"Western Australia\", \"bbox\": [131, 96, 188, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 96, 299, 106]}, {\"cell\": \"14.9\", \"bbox\": [314, 96, 329, 106]}, {\"cell\": \"51.2\", \"bbox\": [404, 96, 419, 106]}, {\"cell\": \"Wilson et al.[7]\", \"bbox\": [0, 110, 52, 120]}, {\"cell\": \"Olmsted County, USA\", \"bbox\": [131, 110, 203, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 110, 276, 120]}, {\"cell\": \"71\", \"bbox\": [314, 110, 324, 120]}, {\"cell\": \"n/a\", \"bbox\": [404, 110, 417, 120]}, {\"cell\": \"Oflazer et al.[8]\", \"bbox\": [1, 124, 52, 134]}, {\"cell\": \"Istanbul, Turkey\", \"bbox\": [131, 124, 183, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 124, 304, 143]}, {\"cell\": \"1.0\", \"bbox\": [314, 124, 325, 134]}, {\"cell\": \"6.0\", \"bbox\": [404, 124, 415, 134]}, {\"cell\": \"Suzuki et al.[9]\", \"bbox\": [0, 147, 51, 157]}, {\"cell\": \"Japan\", \"bbox\": [131, 147, 152, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 147, 299, 157]}, {\"cell\": \"1.3 (in 1991)\", \"bbox\": [314, 147, 355, 157]}, {\"cell\": \"n/a\", \"bbox\": [404, 147, 417, 157]}, {\"cell\": \"9.8 (in 2003)\", \"bbox\": [314, 161, 355, 171]}, {\"cell\": \"n/a\", \"bbox\": [404, 161, 417, 171]}, {\"cell\": \"Tan et al.[10]\", \"bbox\": [1, 175, 46, 185]}, {\"cell\": \"South Australia\", \"bbox\": [131, 175, 181, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 175, 290, 185]}, {\"cell\": \"50.5\", \"bbox\": [314, 175, 329, 185]}, {\"cell\": \"139.3\", \"bbox\": [404, 175, 423, 185]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4071018_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}298{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Placebo group (n = 43)</b></td><td><b>Vitamin K1 group (n = 39)</b></td><td><b>P value<sup>1</sup></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.48 ± 1.50</td><td>−3.12 ± 1.57</td><td>0.45</td></tr><tr><td>[EMPTY_CELL]</td><td>−1.46 ± 1.51</td><td>−3.13 ± 1.58</td><td>0.45</td></tr><tr><td>[EMPTY_CELL]</td><td>−1.97 ± 1.59</td><td>−2.59 ± 1.67</td><td>0.80</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.20 ± 3.54</td><td>−10.87 ± 3.71</td><td>0.02</td></tr><tr><td>[EMPTY_CELL]</td><td>1.36 ± 3.54</td><td>−11.04 ± 3.71</td><td>0.01</td></tr><tr><td>[EMPTY_CELL]</td><td>2.48 ± 3.74</td><td>−12.28 ± 3.95</td><td>0.01</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.02 ± 1.16</td><td>−0.18 ± 1.22</td><td>0.92</td></tr><tr><td>[EMPTY_CELL]</td><td>0.003 ± 1.17</td><td>−0.21 ± 1.23</td><td>0.89</td></tr><tr><td>[EMPTY_CELL]</td><td>-.039 ± 1.24</td><td>−0.16 ± 1.31</td><td>0.94</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5.88 ± 5.40</td><td>−17.46 ± 5.67</td><td>0.00</td></tr><tr><td>[EMPTY_CELL]</td><td>5.69 ± 5.41</td><td>−17.25 ± 5.60</td><td>0.00</td></tr><tr><td>[EMPTY_CELL]</td><td>9.90 ± 5.58</td><td>−21.88 ± 5.89</td><td>0.00</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.05 ± 0.32</td><td>−0.22 ± .34</td><td>0.76</td></tr><tr><td>[EMPTY_CELL]</td><td>-.05 ± 0.32</td><td>−0.22 ± 0.34</td><td>0.71</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.06 ± 0.34</td><td>−0.20 ± 0.36</td><td>0.79</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−5.42 ± 14.49</td><td>14.95 ± 15.21</td><td>0.33</td></tr><tr><td>[EMPTY_CELL]</td><td>4.84 ± 14.50</td><td>14.31 ± 15.23</td><td>0.36</td></tr><tr><td>[EMPTY_CELL]</td><td>−7.10 ± 15.42</td><td>16.80 ± 16.28</td><td>0.31</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.004 ± 0.002</td><td>−0.001 ± 0.002</td><td>0.43</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.004 ± 0.002</td><td>−0.001 ± 0.002</td><td>0.44</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.004 ± 0.002</td><td>−0.00 ± 0.003</td><td>0.33</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Placebo group (n = 43)</b>\", \"bbox\": [82, 4, 135, 22]}, {\"cell\": \"<b>Vitamin K1 group (n = 39)</b>\", \"bbox\": [145, 4, 196, 22]}, {\"cell\": \"<b>P value<sup>1</sup></b>\", \"bbox\": [206, 2, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 43, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 27, 49]}, {\"cell\": \"1.48 ± 1.50\", \"bbox\": [82, 40, 118, 49]}, {\"cell\": \"−3.12 ± 1.57\", \"bbox\": [145, 40, 185, 49]}, {\"cell\": \"0.45\", \"bbox\": [206, 40, 221, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 27, 63]}, {\"cell\": \"−1.46 ± 1.51\", \"bbox\": [82, 54, 122, 63]}, {\"cell\": \"−3.13 ± 1.58\", \"bbox\": [145, 54, 185, 63]}, {\"cell\": \"0.45\", \"bbox\": [206, 54, 221, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 27, 77]}, {\"cell\": \"−1.97 ± 1.59\", \"bbox\": [82, 68, 122, 77]}, {\"cell\": \"−2.59 ± 1.67\", \"bbox\": [145, 68, 185, 77]}, {\"cell\": \"0.80\", \"bbox\": [206, 68, 221, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 56, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 105, 27, 114]}, {\"cell\": \"1.20 ± 3.54\", \"bbox\": [82, 105, 118, 114]}, {\"cell\": \"−10.87 ± 3.71\", \"bbox\": [145, 105, 189, 114]}, {\"cell\": \"0.02\", \"bbox\": [206, 105, 221, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 27, 128]}, {\"cell\": \"1.36 ± 3.54\", \"bbox\": [82, 119, 118, 128]}, {\"cell\": \"−11.04 ± 3.71\", \"bbox\": [145, 119, 189, 128]}, {\"cell\": \"0.01\", \"bbox\": [206, 119, 221, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 133, 27, 142]}, {\"cell\": \"2.48 ± 3.74\", \"bbox\": [82, 133, 118, 142]}, {\"cell\": \"−12.28 ± 3.95\", \"bbox\": [145, 133, 189, 142]}, {\"cell\": \"0.01\", \"bbox\": [206, 133, 221, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 45, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 161, 27, 170]}, {\"cell\": \"−0.02 ± 1.16\", \"bbox\": [82, 161, 122, 170]}, {\"cell\": \"−0.18 ± 1.22\", \"bbox\": [145, 161, 185, 170]}, {\"cell\": \"0.92\", \"bbox\": [206, 161, 221, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 175, 27, 184]}, {\"cell\": \"0.003 ± 1.17\", \"bbox\": [82, 175, 121, 184]}, {\"cell\": \"−0.21 ± 1.23\", \"bbox\": [145, 175, 185, 184]}, {\"cell\": \"0.89\", \"bbox\": [206, 175, 221, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 189, 27, 198]}, {\"cell\": \"-.039 ± 1.24\", \"bbox\": [82, 189, 120, 198]}, {\"cell\": \"−0.16 ± 1.31\", \"bbox\": [145, 189, 185, 198]}, {\"cell\": \"0.94\", \"bbox\": [206, 189, 221, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 203, 72, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 27, 235]}, {\"cell\": \"5.88 ± 5.40\", \"bbox\": [82, 226, 118, 235]}, {\"cell\": \"−17.46 ± 5.67\", \"bbox\": [145, 226, 189, 235]}, {\"cell\": \"0.00\", \"bbox\": [206, 226, 221, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 27, 249]}, {\"cell\": \"5.69 ± 5.41\", \"bbox\": [82, 240, 118, 249]}, {\"cell\": \"−17.25 ± 5.60\", \"bbox\": [145, 240, 189, 249]}, {\"cell\": \"0.00\", \"bbox\": [206, 240, 221, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 27, 263]}, {\"cell\": \"9.90 ± 5.58\", \"bbox\": [82, 254, 118, 263]}, {\"cell\": \"−21.88 ± 5.89\", \"bbox\": [145, 254, 189, 263]}, {\"cell\": \"0.00\", \"bbox\": [206, 254, 221, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 268, 32, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 282, 27, 291]}, {\"cell\": \"−0.05 ± 0.32\", \"bbox\": [82, 282, 122, 291]}, {\"cell\": \"−0.22 ± .34\", \"bbox\": [145, 282, 181, 291]}, {\"cell\": \"0.76\", \"bbox\": [206, 282, 221, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 296, 27, 305]}, {\"cell\": \"-.05 ± 0.32\", \"bbox\": [82, 296, 116, 305]}, {\"cell\": \"−0.22 ± 0.34\", \"bbox\": [145, 296, 185, 305]}, {\"cell\": \"0.71\", \"bbox\": [206, 296, 221, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 310, 27, 319]}, {\"cell\": \"−0.06 ± 0.34\", \"bbox\": [82, 310, 122, 319]}, {\"cell\": \"−0.20 ± 0.36\", \"bbox\": [145, 310, 185, 319]}, {\"cell\": \"0.79\", \"bbox\": [206, 310, 221, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 324, 30, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 338, 27, 347]}, {\"cell\": \"−5.42 ± 14.49\", \"bbox\": [82, 338, 126, 347]}, {\"cell\": \"14.95 ± 15.21\", \"bbox\": [145, 338, 188, 347]}, {\"cell\": \"0.33\", \"bbox\": [206, 338, 221, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 27, 361]}, {\"cell\": \"4.84 ± 14.50\", \"bbox\": [82, 352, 121, 361]}, {\"cell\": \"14.31 ± 15.23\", \"bbox\": [145, 352, 188, 361]}, {\"cell\": \"0.36\", \"bbox\": [206, 352, 221, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 366, 27, 375]}, {\"cell\": \"−7.10 ± 15.42\", \"bbox\": [82, 366, 126, 375]}, {\"cell\": \"16.80 ± 16.28\", \"bbox\": [145, 366, 188, 375]}, {\"cell\": \"0.31\", \"bbox\": [206, 366, 221, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 380, 25, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 394, 27, 403]}, {\"cell\": \"−0.004 ± 0.002\", \"bbox\": [82, 394, 130, 403]}, {\"cell\": \"−0.001 ± 0.002\", \"bbox\": [145, 394, 193, 403]}, {\"cell\": \"0.43\", \"bbox\": [206, 394, 221, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 408, 27, 417]}, {\"cell\": \"−0.004 ± 0.002\", \"bbox\": [82, 408, 130, 417]}, {\"cell\": \"−0.001 ± 0.002\", \"bbox\": [145, 408, 193, 417]}, {\"cell\": \"0.44\", \"bbox\": [206, 408, 221, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 422, 27, 431]}, {\"cell\": \"−0.004 ± 0.002\", \"bbox\": [82, 422, 130, 431]}, {\"cell\": \"−0.00 ± 0.003\", \"bbox\": [145, 422, 189, 431]}, {\"cell\": \"0.33\", \"bbox\": [206, 422, 221, 431]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4316808_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}299{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Trait</b></td><td rowspan=\\\"2\\\"><b>Environment</b></td><td>[EMPTY_CELL]</td><td><b>Parents</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>RILs</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>PMB0225</b></td><td><b>PHA1037</b></td><td><b>P<sub>par</sub><sup>a</sup><sub>.</sub></b></td><td><b>Mean<sup>b</sup></b></td><td><b>Range</b></td><td><b>P<sub>RIL</sub><sup>a</sup></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>LD09</td><td>−0.99 ± 3.28</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2.45 ± 7.69</td><td>−16.21 – 45.08</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>SD09</td><td>−0.05 ± 1.44</td><td>22.29 ± 6.18</td><td>**</td><td>3.53 ± 6.17</td><td>−20.83 – 26.37</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>LD10</td><td>−0.60 ± 0.30</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2.77 ± 7.30</td><td>−21.95 – 39.91</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>SD10</td><td>−1.17 ± 5.37</td><td>27.84 ± 4.81</td><td>**</td><td>1.21 ± 5.53</td><td>−10.44 – 28.96</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>LD11</td><td>1.01 ± 1.35</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.28 ± 7.75</td><td>−26.57 – 31.88</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>LD09</td><td>2.25 ± 2.63</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>11.82 ± 19.22</td><td>0.00 - 95.00</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>SD09</td><td>7.15 ± 10.12</td><td>68.70 ± 22.23</td><td>**</td><td>24.89 ± 37.87</td><td>−53.33 - 383.33</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>LD10</td><td>10.19 ± 9.17</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>13.37 ± 21.38</td><td>0.00 – 166.67</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>SD10</td><td>3.33 ± 4.35</td><td>45.83 ± 9.48</td><td>**</td><td>8.96 ± 16.08</td><td>−28.21 - 105.00</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>LD11</td><td>17.78 ± 1.92</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>19.65 ± 24.87</td><td>0.00 - 150.00</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>LD09</td><td>95.04 ± 4.18</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>84.41 ± 25.58</td><td>0.00 – 100.00</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>SD09</td><td>95.00 ± 7.07</td><td>24.44 ± 19.44</td><td>**</td><td>52.85 ± 31.78</td><td>0.00 – 100.00</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>LD10</td><td>77.78 ± 6.29</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>73.12 ± 28.19</td><td>0.00 – 100.00</td><td>*</td></tr><tr><td>[EMPTY_CELL]</td><td>SD10</td><td>100.00 ± 0.00</td><td>14.00 ± 0.00</td><td>**</td><td>86.93 ± 27.18</td><td>0.00 – 100.00</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>LD11</td><td>97.00 ± 5.24</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>77.42 ± 29.99</td><td>0.00 – 100.00</td><td>**</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Trait</b>\", \"bbox\": [1, 4, 18, 13]}, {\"cell\": \"<b>Environment</b>\", \"bbox\": [136, 4, 183, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Parents</b>\", \"bbox\": [251, 4, 279, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>RILs</b>\", \"bbox\": [408, 4, 423, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>PMB0225</b>\", \"bbox\": [204, 17, 238, 26]}, {\"cell\": \"<b>PHA1037</b>\", \"bbox\": [265, 17, 298, 26]}, {\"cell\": \"<b>P<sub>par</sub><sup>a</sup><sub>.</sub></b>\", \"bbox\": [318, 15, 333, 27]}, {\"cell\": \"<b>Mean<sup>b</sup></b>\", \"bbox\": [357, 15, 381, 26]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [419, 17, 443, 26]}, {\"cell\": \"<b>P<sub>RIL</sub><sup>a</sup></b>\", \"bbox\": [470, 15, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 103, 40]}, {\"cell\": \"LD09\", \"bbox\": [136, 30, 155, 40]}, {\"cell\": \"−0.99 ± 3.28\", \"bbox\": [200, 30, 241, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.45 ± 7.69\", \"bbox\": [350, 30, 388, 40]}, {\"cell\": \"−16.21 – 45.08\", \"bbox\": [407, 30, 456, 40]}, {\"cell\": \"**\", \"bbox\": [470, 30, 478, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD09\", \"bbox\": [136, 44, 155, 54]}, {\"cell\": \"−0.05 ± 1.44\", \"bbox\": [200, 44, 241, 54]}, {\"cell\": \"22.29 ± 6.18\", \"bbox\": [259, 44, 300, 54]}, {\"cell\": \"**\", \"bbox\": [318, 44, 326, 54]}, {\"cell\": \"3.53 ± 6.17\", \"bbox\": [350, 44, 388, 54]}, {\"cell\": \"−20.83 – 26.37\", \"bbox\": [407, 44, 456, 54]}, {\"cell\": \"**\", \"bbox\": [470, 44, 478, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD10\", \"bbox\": [136, 58, 155, 68]}, {\"cell\": \"−0.60 ± 0.30\", \"bbox\": [200, 58, 241, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.77 ± 7.30\", \"bbox\": [350, 58, 388, 68]}, {\"cell\": \"−21.95 – 39.91\", \"bbox\": [407, 58, 456, 68]}, {\"cell\": \"**\", \"bbox\": [470, 58, 478, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD10\", \"bbox\": [136, 72, 155, 82]}, {\"cell\": \"−1.17 ± 5.37\", \"bbox\": [200, 72, 241, 82]}, {\"cell\": \"27.84 ± 4.81\", \"bbox\": [259, 72, 300, 82]}, {\"cell\": \"**\", \"bbox\": [318, 72, 326, 82]}, {\"cell\": \"1.21 ± 5.53\", \"bbox\": [350, 72, 388, 82]}, {\"cell\": \"−10.44 – 28.96\", \"bbox\": [407, 72, 456, 82]}, {\"cell\": \"**\", \"bbox\": [470, 72, 478, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD11\", \"bbox\": [136, 86, 155, 96]}, {\"cell\": \"1.01 ± 1.35\", \"bbox\": [204, 86, 241, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.28 ± 7.75\", \"bbox\": [350, 86, 388, 96]}, {\"cell\": \"−26.57 – 31.88\", \"bbox\": [407, 86, 456, 96]}, {\"cell\": \"**\", \"bbox\": [470, 86, 478, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 85, 110]}, {\"cell\": \"LD09\", \"bbox\": [136, 100, 155, 110]}, {\"cell\": \"2.25 ± 2.63\", \"bbox\": [204, 100, 241, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11.82 ± 19.22\", \"bbox\": [347, 100, 391, 110]}, {\"cell\": \"0.00 - 95.00\", \"bbox\": [418, 100, 456, 110]}, {\"cell\": \"**\", \"bbox\": [470, 100, 478, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD09\", \"bbox\": [136, 114, 155, 124]}, {\"cell\": \"7.15 ± 10.12\", \"bbox\": [204, 114, 245, 124]}, {\"cell\": \"68.70 ± 22.23\", \"bbox\": [259, 114, 304, 124]}, {\"cell\": \"**\", \"bbox\": [318, 114, 326, 124]}, {\"cell\": \"24.89 ± 37.87\", \"bbox\": [347, 114, 391, 124]}, {\"cell\": \"−53.33 - 383.33\", \"bbox\": [405, 114, 456, 124]}, {\"cell\": \"**\", \"bbox\": [470, 114, 478, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD10\", \"bbox\": [136, 128, 155, 138]}, {\"cell\": \"10.19 ± 9.17\", \"bbox\": [200, 128, 241, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13.37 ± 21.38\", \"bbox\": [347, 128, 391, 138]}, {\"cell\": \"0.00 – 166.67\", \"bbox\": [412, 128, 456, 138]}, {\"cell\": \"**\", \"bbox\": [470, 128, 478, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD10\", \"bbox\": [136, 142, 155, 152]}, {\"cell\": \"3.33 ± 4.35\", \"bbox\": [204, 142, 241, 152]}, {\"cell\": \"45.83 ± 9.48\", \"bbox\": [259, 142, 300, 152]}, {\"cell\": \"**\", \"bbox\": [318, 142, 326, 152]}, {\"cell\": \"8.96 ± 16.08\", \"bbox\": [350, 142, 391, 152]}, {\"cell\": \"−28.21 - 105.00\", \"bbox\": [405, 142, 456, 152]}, {\"cell\": \"**\", \"bbox\": [470, 142, 478, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD11\", \"bbox\": [136, 156, 155, 166]}, {\"cell\": \"17.78 ± 1.92\", \"bbox\": [200, 156, 241, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"19.65 ± 24.87\", \"bbox\": [347, 156, 391, 166]}, {\"cell\": \"0.00 - 150.00\", \"bbox\": [414, 156, 456, 166]}, {\"cell\": \"**\", \"bbox\": [470, 156, 478, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 123, 180]}, {\"cell\": \"LD09\", \"bbox\": [136, 170, 155, 180]}, {\"cell\": \"95.04 ± 4.18\", \"bbox\": [200, 170, 241, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"84.41 ± 25.58\", \"bbox\": [347, 170, 391, 180]}, {\"cell\": \"0.00 – 100.00\", \"bbox\": [412, 170, 456, 180]}, {\"cell\": \"**\", \"bbox\": [470, 170, 478, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD09\", \"bbox\": [136, 184, 155, 194]}, {\"cell\": \"95.00 ± 7.07\", \"bbox\": [200, 184, 241, 194]}, {\"cell\": \"24.44 ± 19.44\", \"bbox\": [259, 184, 304, 194]}, {\"cell\": \"**\", \"bbox\": [318, 184, 326, 194]}, {\"cell\": \"52.85 ± 31.78\", \"bbox\": [347, 184, 391, 194]}, {\"cell\": \"0.00 – 100.00\", \"bbox\": [412, 184, 456, 194]}, {\"cell\": \"**\", \"bbox\": [470, 184, 478, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD10\", \"bbox\": [136, 198, 155, 208]}, {\"cell\": \"77.78 ± 6.29\", \"bbox\": [200, 198, 241, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"73.12 ± 28.19\", \"bbox\": [347, 198, 391, 208]}, {\"cell\": \"0.00 – 100.00\", \"bbox\": [412, 198, 456, 208]}, {\"cell\": \"*\", \"bbox\": [470, 198, 475, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SD10\", \"bbox\": [136, 212, 155, 222]}, {\"cell\": \"100.00 ± 0.00\", \"bbox\": [197, 212, 241, 222]}, {\"cell\": \"14.00 ± 0.00\", \"bbox\": [259, 212, 300, 222]}, {\"cell\": \"**\", \"bbox\": [318, 212, 326, 222]}, {\"cell\": \"86.93 ± 27.18\", \"bbox\": [347, 212, 391, 222]}, {\"cell\": \"0.00 – 100.00\", \"bbox\": [412, 212, 456, 222]}, {\"cell\": \"**\", \"bbox\": [470, 212, 478, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LD11\", \"bbox\": [136, 226, 155, 236]}, {\"cell\": \"97.00 ± 5.24\", \"bbox\": [200, 226, 241, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"77.42 ± 29.99\", \"bbox\": [347, 226, 391, 236]}, {\"cell\": \"0.00 – 100.00\", \"bbox\": [412, 226, 456, 236]}, {\"cell\": \"**\", \"bbox\": [470, 226, 478, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3490973_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}300{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Non-mesenchymal (n=110)</b></td><td><b>Mesenchymal (n=33)</b></td><td><b>P</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>60 (range, 25-78)</td><td>56 (range, 36-75)</td><td>0.061</td></tr><tr><td>[EMPTY_CELL]</td><td>79 (72%)</td><td>19 (58%)</td><td>0.095</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.041</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (2%)</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>41 (37%)</td><td>14 (42%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>46 (42%)</td><td>7 (21%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>21 (19%)</td><td>12 (36%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.012</td></tr><tr><td>[EMPTY_CELL]</td><td>22 (20%)</td><td>1 (3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>44 (40%)</td><td>11 (33%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>29 (26%)</td><td>21 (64%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>11 (10%)</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (4%)</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>41 (37%)</td><td>1 (3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>59 (54%)</td><td>30 (91%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10 (9%)</td><td>2 (6%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.460</td></tr><tr><td>[EMPTY_CELL]</td><td>39 (35%)</td><td>12 (36%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>71 (65%)</td><td>21 (64%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1 (1%)</td><td>2 (6%)</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>24 (22%)</td><td>2 (6%)</td><td>0.035</td></tr><tr><td>[EMPTY_CELL]</td><td>74 (67%)</td><td>20 (61%)</td><td>0.961</td></tr><tr><td>[EMPTY_CELL]</td><td>41 (37%)</td><td>12 (36%)</td><td>0.767</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Non-mesenchymal (n=110)</b>\", \"bbox\": [165, 6, 281, 16]}, {\"cell\": \"<b>Mesenchymal (n=33)</b>\", \"bbox\": [288, 6, 380, 16]}, {\"cell\": \"<b>P</b>\", \"bbox\": [438, 6, 446, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 23, 79, 34]}, {\"cell\": \"60 (range, 25-78)\", \"bbox\": [187, 23, 259, 34]}, {\"cell\": \"56 (range, 36-75)\", \"bbox\": [298, 23, 370, 34]}, {\"cell\": \"0.061\", \"bbox\": [429, 23, 454, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 40, 56, 51]}, {\"cell\": \"79 (72%)\", \"bbox\": [203, 40, 243, 51]}, {\"cell\": \"19 (58%)\", \"bbox\": [314, 40, 354, 51]}, {\"cell\": \"0.095\", \"bbox\": [429, 40, 454, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 57, 151, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.041\", \"bbox\": [429, 63, 454, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 86, 37, 97]}, {\"cell\": \"2 (2%)\", \"bbox\": [208, 86, 238, 97]}, {\"cell\": \"0\", \"bbox\": [330, 86, 337, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 103, 32, 114]}, {\"cell\": \"41 (37%)\", \"bbox\": [203, 103, 243, 114]}, {\"cell\": \"14 (42%)\", \"bbox\": [314, 103, 354, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 120, 42, 131]}, {\"cell\": \"46 (42%)\", \"bbox\": [203, 120, 243, 131]}, {\"cell\": \"7 (21%)\", \"bbox\": [317, 120, 351, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 137, 73, 148]}, {\"cell\": \"21 (19%)\", \"bbox\": [203, 137, 243, 148]}, {\"cell\": \"12 (36%)\", \"bbox\": [314, 137, 354, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 154, 151, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.012\", \"bbox\": [429, 160, 454, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 182, 80, 194]}, {\"cell\": \"22 (20%)\", \"bbox\": [203, 182, 243, 194]}, {\"cell\": \"1 (3%)\", \"bbox\": [319, 182, 349, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 199, 124, 211]}, {\"cell\": \"44 (40%)\", \"bbox\": [203, 199, 243, 211]}, {\"cell\": \"11 (33%)\", \"bbox\": [314, 199, 354, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 216, 72, 227]}, {\"cell\": \"29 (26%)\", \"bbox\": [203, 216, 243, 227]}, {\"cell\": \"21 (64%)\", \"bbox\": [314, 216, 354, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 233, 51, 244]}, {\"cell\": \"11 (10%)\", \"bbox\": [203, 233, 243, 244]}, {\"cell\": \"0\", \"bbox\": [331, 233, 338, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 250, 97, 261]}, {\"cell\": \"4 (4%)\", \"bbox\": [208, 250, 238, 261]}, {\"cell\": \"0\", \"bbox\": [331, 250, 338, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 264, 89, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.001\", \"bbox\": [429, 267, 454, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 284, 48, 295]}, {\"cell\": \"41 (37%)\", \"bbox\": [203, 284, 243, 295]}, {\"cell\": \"1 (3%)\", \"bbox\": [319, 284, 349, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 301, 40, 312]}, {\"cell\": \"59 (54%)\", \"bbox\": [203, 301, 243, 312]}, {\"cell\": \"30 (91%)\", \"bbox\": [314, 301, 354, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 318, 105, 329]}, {\"cell\": \"10 (9%)\", \"bbox\": [206, 318, 240, 329]}, {\"cell\": \"2 (6%)\", \"bbox\": [319, 318, 349, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 335, 55, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.460\", \"bbox\": [429, 335, 454, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 352, 34, 363]}, {\"cell\": \"39 (35%)\", \"bbox\": [203, 352, 243, 363]}, {\"cell\": \"12 (36%)\", \"bbox\": [314, 352, 354, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 369, 44, 380]}, {\"cell\": \"71 (65%)\", \"bbox\": [203, 369, 243, 380]}, {\"cell\": \"21 (64%)\", \"bbox\": [314, 369, 354, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 386, 66, 397]}, {\"cell\": \"1 (1%)\", \"bbox\": [208, 386, 238, 397]}, {\"cell\": \"2 (6%)\", \"bbox\": [319, 386, 349, 397]}, {\"cell\": \"0.001\", \"bbox\": [429, 386, 454, 397]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 403, 44, 414]}, {\"cell\": \"24 (22%)\", \"bbox\": [203, 403, 243, 414]}, {\"cell\": \"2 (6%)\", \"bbox\": [319, 403, 349, 414]}, {\"cell\": \"0.035\", \"bbox\": [429, 403, 454, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 420, 109, 431]}, {\"cell\": \"74 (67%)\", \"bbox\": [203, 420, 243, 431]}, {\"cell\": \"20 (61%)\", \"bbox\": [314, 420, 354, 431]}, {\"cell\": \"0.961\", \"bbox\": [429, 420, 454, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 436, 83, 448]}, {\"cell\": \"41 (37%)\", \"bbox\": [203, 436, 243, 448]}, {\"cell\": \"12 (36%)\", \"bbox\": [314, 436, 354, 448]}, {\"cell\": \"0.767\", \"bbox\": [429, 436, 454, 448]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5630413_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}301{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>PM exposure in preceding two decades</b></td><td colspan=\\\"2\\\"><b>2001 PM exposure</b></td></tr><tr><td><b>Outcome/covariates</b></td><td><b>Observed PM<sub>10</sub></b></td><td><b>Imputed PM<sub>10</sub></b></td><td><b>Imputed PM<sub>2.5</sub></b></td><td><b>PM<sub>10</sub></b></td><td><b>PM<sub>2.5</sub></b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">YM</td></tr><tr><td>PM (weather/season only)a</td><td>3.5 (−2.5 to 9.8)</td><td>5.2 (−0.3 to 11.0)</td><td>0.4 (−3.6 to 4.6)</td><td>−0.2 (−0.8 to 0.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Add age, sex, race</td><td>2.3 (−3.5 to 8.6)</td><td>3.2 (−2.4 to 9.1)</td><td>−0.8 (−4.7 to 3.2)</td><td>0.0 (−0.5 to 0.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>All covariatesb</td><td>1.6 (−3.8 to 7.3)</td><td>3.1 (−1.9 to 8.3)</td><td>−1.4 (−5.1 to 2.4)</td><td>0.0 (−0.5 to 0.5)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">C<sub>1</sub></td></tr><tr><td>PM (weather/season only)a</td><td>2.7 (−2.4 to 8.1)</td><td>0.7 (−5.0 to 6.7)</td><td>−0.2 (−3.0 to 2.6)</td><td>−0.2 (−0.6 to 0.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Add age, sex, race</td><td>2.9 (−1.6 to 7.7)</td><td>2.6 (−2.2 to 7.7)</td><td>1.7 (−0.9 to 4.3)</td><td>−0.2 (−0.5 to 0.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>All covariatesb</td><td>2.9 (−1.8 to 7.7)</td><td>2.6 (−2.3 to 7.8)</td><td>1.5 (−1.0 to 4.1)</td><td>−0.2 (−0.5 to 0.2)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">C<sub>2</sub></td></tr><tr><td>PM (weather/season only)a</td><td>−1.8 (−6.9 to 3.5)</td><td>−3.9 (−9.6 to 2.1)</td><td>−3.7 (−8.0 to 0.8)</td><td>0.3 (−0.3 to 0.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Add age, sex, race</td><td>−3.3 (−8.0 to 1.6)</td><td>−1.4 (−6.5 to 3.9)</td><td>−0.7 (−4.6 to 3.3)</td><td>0.1 (−0.4 to 0.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>All covariatesb</td><td>−3.6 (−8.2 to 1.3)</td><td>−1.5 (−6.5 to 3.8)</td><td>−1.2 (−5.0 to 2.7)</td><td>0.1 (−0.3 to 0.5)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>PM exposure in preceding two decades</b>\", \"bbox\": [172, 3, 288, 13]}, {\"cell\": \"<b>2001 PM exposure</b>\", \"bbox\": [418, 3, 474, 13]}, {\"cell\": \"<b>Outcome/covariates</b>\", \"bbox\": [3, 15, 63, 24]}, {\"cell\": \"<b>Observed PM<sub>10</sub></b>\", \"bbox\": [120, 15, 166, 25]}, {\"cell\": \"<b>Imputed PM<sub>10</sub></b>\", \"bbox\": [209, 15, 251, 25]}, {\"cell\": \"<b>Imputed PM<sub>2.5</sub></b>\", \"bbox\": [295, 15, 339, 25]}, {\"cell\": \"<b>PM<sub>10</sub></b>\", \"bbox\": [393, 15, 410, 25]}, {\"cell\": \"<b>PM<sub>2.5</sub></b>\", \"bbox\": [479, 15, 498, 25]}, {\"cell\": \"YM\", \"bbox\": [3, 26, 15, 36]}, {\"cell\": \"PM (weather/season only)a\", \"bbox\": [3, 35, 83, 45]}, {\"cell\": \"3.5 (−2.5 to 9.8)\", \"bbox\": [122, 36, 169, 45]}, {\"cell\": \"5.2 (−0.3 to 11.0)\", \"bbox\": [206, 36, 257, 45]}, {\"cell\": \"0.4 (−3.6 to 4.6)\", \"bbox\": [295, 36, 342, 45]}, {\"cell\": \"−0.2 (−0.8 to 0.4)\", \"bbox\": [376, 36, 427, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 36, 516, 45]}, {\"cell\": \"Add age, sex, race\", \"bbox\": [2, 45, 58, 55]}, {\"cell\": \"2.3 (−3.5 to 8.6)\", \"bbox\": [122, 45, 169, 55]}, {\"cell\": \"3.2 (−2.4 to 9.1)\", \"bbox\": [206, 45, 254, 55]}, {\"cell\": \"−0.8 (−4.7 to 3.2)\", \"bbox\": [291, 45, 342, 55]}, {\"cell\": \"0.0 (−0.5 to 0.5)\", \"bbox\": [380, 45, 427, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 45, 512, 55]}, {\"cell\": \"All covariatesb\", \"bbox\": [2, 54, 47, 64]}, {\"cell\": \"1.6 (−3.8 to 7.3)\", \"bbox\": [122, 55, 169, 64]}, {\"cell\": \"3.1 (−1.9 to 8.3)\", \"bbox\": [206, 55, 254, 64]}, {\"cell\": \"−1.4 (−5.1 to 2.4)\", \"bbox\": [291, 55, 342, 64]}, {\"cell\": \"0.0 (−0.5 to 0.5)\", \"bbox\": [380, 55, 427, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 55, 512, 64]}, {\"cell\": \"C<sub>1</sub>\", \"bbox\": [2, 64, 11, 75]}, {\"cell\": \"PM (weather/season only)a\", \"bbox\": [3, 72, 83, 83]}, {\"cell\": \"2.7 (−2.4 to 8.1)\", \"bbox\": [122, 73, 169, 83]}, {\"cell\": \"0.7 (−5.0 to 6.7)\", \"bbox\": [206, 73, 254, 83]}, {\"cell\": \"−0.2 (−3.0 to 2.6)\", \"bbox\": [291, 73, 342, 83]}, {\"cell\": \"−0.2 (−0.6 to 0.3)\", \"bbox\": [376, 73, 427, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 73, 512, 83]}, {\"cell\": \"Add age, sex, race\", \"bbox\": [2, 83, 58, 92]}, {\"cell\": \"2.9 (−1.6 to 7.7)\", \"bbox\": [122, 83, 169, 92]}, {\"cell\": \"2.6 (−2.2 to 7.7)\", \"bbox\": [206, 83, 254, 92]}, {\"cell\": \"1.7 (−0.9 to 4.3)\", \"bbox\": [295, 83, 342, 92]}, {\"cell\": \"−0.2 (−0.5 to 0.2)\", \"bbox\": [376, 83, 427, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 83, 512, 92]}, {\"cell\": \"All covariatesb\", \"bbox\": [2, 91, 47, 102]}, {\"cell\": \"2.9 (−1.8 to 7.7)\", \"bbox\": [122, 92, 169, 102]}, {\"cell\": \"2.6 (−2.3 to 7.8)\", \"bbox\": [206, 92, 254, 102]}, {\"cell\": \"1.5 (−1.0 to 4.1)\", \"bbox\": [295, 92, 342, 102]}, {\"cell\": \"−0.2 (−0.5 to 0.2)\", \"bbox\": [376, 92, 427, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 92, 512, 102]}, {\"cell\": \"C<sub>2</sub>\", \"bbox\": [2, 102, 11, 112]}, {\"cell\": \"PM (weather/season only)a\", \"bbox\": [3, 110, 83, 120]}, {\"cell\": \"−1.8 (−6.9 to 3.5)\", \"bbox\": [118, 111, 169, 120]}, {\"cell\": \"−3.9 (−9.6 to 2.1)\", \"bbox\": [202, 111, 254, 120]}, {\"cell\": \"−3.7 (−8.0 to 0.8)\", \"bbox\": [291, 111, 342, 120]}, {\"cell\": \"0.3 (−0.3 to 0.8)\", \"bbox\": [380, 111, 427, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 111, 512, 120]}, {\"cell\": \"Add age, sex, race\", \"bbox\": [2, 120, 58, 130]}, {\"cell\": \"−3.3 (−8.0 to 1.6)\", \"bbox\": [118, 120, 169, 130]}, {\"cell\": \"−1.4 (−6.5 to 3.9)\", \"bbox\": [202, 120, 254, 130]}, {\"cell\": \"−0.7 (−4.6 to 3.3)\", \"bbox\": [291, 120, 342, 130]}, {\"cell\": \"0.1 (−0.4 to 0.6)\", \"bbox\": [380, 120, 427, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 120, 512, 130]}, {\"cell\": \"All covariatesb\", \"bbox\": [2, 129, 47, 139]}, {\"cell\": \"−3.6 (−8.2 to 1.3)\", \"bbox\": [118, 130, 169, 139]}, {\"cell\": \"−1.5 (−6.5 to 3.8)\", \"bbox\": [202, 130, 254, 139]}, {\"cell\": \"−1.2 (−5.0 to 2.7)\", \"bbox\": [291, 130, 342, 139]}, {\"cell\": \"0.1 (−0.3 to 0.5)\", \"bbox\": [380, 130, 427, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 130, 512, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3114821_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}302{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>DMT> 0</b></td><td><b>Moderate/high needfor treatment</b></td><td><b>Poor self reported oral health</b></td></tr></thead><tbody><tr><td><i>Wealth index:</i></td><td>% (n)</td><td>[EMPTY_CELL]</td><td>% (n)</td></tr><tr><td>1st poorest quartile</td><td>18.2 (84)</td><td>[EMPTY_CELL]</td><td>43.3 (204)</td></tr><tr><td>2nd poor quartile</td><td>20.4 (159)</td><td>[EMPTY_CELL]</td><td>44.6 (348)</td></tr><tr><td>3rd poor quartile</td><td>29.0 (20)</td><td>[EMPTY_CELL]</td><td>59.4 (41)</td></tr><tr><td>4th least poor quartile</td><td>18.4(80)</td><td>[EMPTY_CELL]</td><td>45.5 (198)</td></tr><tr><td><i>Mother's education:</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Low</td><td>20.1 (157)</td><td>[EMPTY_CELL]</td><td>49.0 (382)*</td></tr><tr><td>High</td><td>19.3 (186)</td><td>[EMPTY_CELL]</td><td>42.0 (409)</td></tr><tr><td><i>Father's education:</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Low</td><td>20.1 (146)</td><td>[EMPTY_CELL]</td><td>46.0 (334)</td></tr><tr><td>High</td><td>19.3 (197)</td><td>[EMPTY_CELL]</td><td>44.8 (457)</td></tr><tr><td><i>Sex:</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Boys</td><td>17.5 (152)</td><td>[EMPTY_CELL]</td><td>48.4 (420)*</td></tr><tr><td>Girls</td><td>21.8 (191)*</td><td>[EMPTY_CELL]</td><td>42.3 (371)</td></tr><tr><td><i>Age:</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>10 - 14 years</td><td>18.3 (217)</td><td>[EMPTY_CELL]</td><td>46.2 (547)</td></tr><tr><td>15 - 19 years</td><td>22.5 (126)*</td><td>[EMPTY_CELL]</td><td>43.5 (244)</td></tr><tr><td><i>Residence:</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Urban</td><td>17.9 (150)</td><td>[EMPTY_CELL]</td><td>48.5 (406)**</td></tr><tr><td>Rural</td><td>21.3 (193)*</td><td>[EMPTY_CELL]</td><td>42.4 (385)</td></tr><tr><td><i>Sugar consumption:</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Low intake</td><td>19.4 (155)</td><td>[EMPTY_CELL]</td><td>42.2 (337)</td></tr><tr><td>High intake</td><td>19.9 (188)</td><td>[EMPTY_CELL]</td><td>47.9 (454)*</td></tr><tr><td><i>Tooth brushing:</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Never or seldom</td><td>19.1(73)</td><td>[EMPTY_CELL]</td><td>44.5 (170)</td></tr><tr><td>Once a day</td><td>19.3 (152)</td><td>[EMPTY_CELL]</td><td>48.4 (382)</td></tr><tr><td>More than once a day</td><td>20.6 (118)</td><td>[EMPTY_CELL]</td><td>41.6 (239)*</td></tr><tr><td><i>Dental attendance:</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>17.5 (273)</td><td>[EMPTY_CELL]</td><td>44.8 (700)</td></tr><tr><td>Yes</td><td>38.5 (70)**</td><td>[EMPTY_CELL]</td><td>50.0 (91)</td></tr><tr><td><i>Use of F- toothpaste</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>19.3 (110)</td><td>[EMPTY_CELL]</td><td>51.6 (294)**</td></tr><tr><td>Yes</td><td>19.8 (233)</td><td>[EMPTY_CELL]</td><td>42.3 (497)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [11, 3, 42, 13]}, {\"cell\": \"<b>DMT> 0</b>\", \"bbox\": [143, 3, 172, 13]}, {\"cell\": \"<b>Moderate/high needfor treatment</b>\", \"bbox\": [251, 3, 326, 23]}, {\"cell\": \"<b>Poor self reported oral health</b>\", \"bbox\": [368, 3, 475, 13]}, {\"cell\": \"<i>Wealth index:</i>\", \"bbox\": [11, 41, 56, 51]}, {\"cell\": \"% (n)\", \"bbox\": [143, 41, 162, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 41, 269, 51]}, {\"cell\": \"% (n)\", \"bbox\": [368, 41, 387, 51]}, {\"cell\": \"1st poorest quartile\", \"bbox\": [11, 55, 77, 65]}, {\"cell\": \"18.2 (84)\", \"bbox\": [142, 55, 173, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 55, 277, 65]}, {\"cell\": \"43.3 (204)\", \"bbox\": [368, 55, 403, 65]}, {\"cell\": \"2nd poor quartile\", \"bbox\": [11, 69, 71, 79]}, {\"cell\": \"20.4 (159)\", \"bbox\": [142, 69, 177, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 69, 281, 79]}, {\"cell\": \"44.6 (348)\", \"bbox\": [368, 69, 403, 79]}, {\"cell\": \"3rd poor quartile\", \"bbox\": [11, 83, 69, 93]}, {\"cell\": \"29.0 (20)\", \"bbox\": [142, 83, 173, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 83, 284, 93]}, {\"cell\": \"59.4 (41)\", \"bbox\": [368, 83, 398, 93]}, {\"cell\": \"4th least poor quartile\", \"bbox\": [11, 97, 86, 107]}, {\"cell\": \"18.4(80)\", \"bbox\": [142, 97, 171, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 97, 277, 107]}, {\"cell\": \"45.5 (198)\", \"bbox\": [368, 97, 402, 107]}, {\"cell\": \"<i>Mother's education:</i>\", \"bbox\": [11, 111, 76, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [11, 125, 27, 135]}, {\"cell\": \"20.1 (157)\", \"bbox\": [142, 125, 177, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 125, 281, 135]}, {\"cell\": \"49.0 (382)*\", \"bbox\": [368, 125, 406, 135]}, {\"cell\": \"High\", \"bbox\": [11, 139, 29, 149]}, {\"cell\": \"19.3 (186)\", \"bbox\": [142, 139, 177, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 139, 285, 149]}, {\"cell\": \"42.0 (409)\", \"bbox\": [368, 139, 403, 149]}, {\"cell\": \"<i>Father's education:</i>\", \"bbox\": [11, 153, 73, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [11, 167, 27, 177]}, {\"cell\": \"20.1 (146)\", \"bbox\": [142, 167, 177, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 167, 281, 177]}, {\"cell\": \"46.0 (334)\", \"bbox\": [368, 167, 403, 177]}, {\"cell\": \"High\", \"bbox\": [11, 181, 28, 191]}, {\"cell\": \"19.3 (197)\", \"bbox\": [142, 181, 177, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 181, 285, 191]}, {\"cell\": \"44.8 (457)\", \"bbox\": [368, 181, 403, 191]}, {\"cell\": \"<i>Sex:</i>\", \"bbox\": [11, 195, 25, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Boys\", \"bbox\": [11, 209, 28, 219]}, {\"cell\": \"17.5 (152)\", \"bbox\": [142, 209, 177, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 209, 277, 219]}, {\"cell\": \"48.4 (420)*\", \"bbox\": [368, 209, 406, 219]}, {\"cell\": \"Girls\", \"bbox\": [11, 223, 27, 233]}, {\"cell\": \"21.8 (191)*\", \"bbox\": [143, 223, 180, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 223, 288, 233]}, {\"cell\": \"42.3 (371)\", \"bbox\": [368, 223, 403, 233]}, {\"cell\": \"<i>Age:</i>\", \"bbox\": [11, 237, 27, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10 - 14 years\", \"bbox\": [11, 251, 54, 261]}, {\"cell\": \"18.3 (217)\", \"bbox\": [142, 251, 177, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 251, 281, 261]}, {\"cell\": \"46.2 (547)\", \"bbox\": [368, 251, 403, 261]}, {\"cell\": \"15 - 19 years\", \"bbox\": [11, 265, 54, 275]}, {\"cell\": \"22.5 (126)*\", \"bbox\": [142, 265, 180, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 265, 284, 275]}, {\"cell\": \"43.5 (244)\", \"bbox\": [368, 265, 403, 275]}, {\"cell\": \"<i>Residence:</i>\", \"bbox\": [11, 279, 46, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Urban\", \"bbox\": [11, 293, 33, 303]}, {\"cell\": \"17.9 (150)\", \"bbox\": [142, 293, 177, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 293, 277, 303]}, {\"cell\": \"48.5 (406)**\", \"bbox\": [368, 293, 409, 303]}, {\"cell\": \"Rural\", \"bbox\": [11, 307, 30, 317]}, {\"cell\": \"21.3 (193)*\", \"bbox\": [143, 307, 180, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 307, 285, 317]}, {\"cell\": \"42.4 (385)\", \"bbox\": [368, 307, 403, 317]}, {\"cell\": \"<i>Sugar consumption:</i>\", \"bbox\": [11, 321, 77, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low intake\", \"bbox\": [11, 335, 49, 345]}, {\"cell\": \"19.4 (155)\", \"bbox\": [142, 335, 177, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 335, 281, 345]}, {\"cell\": \"42.2 (337)\", \"bbox\": [368, 335, 403, 345]}, {\"cell\": \"High intake\", \"bbox\": [11, 349, 51, 359]}, {\"cell\": \"19.9 (188)\", \"bbox\": [142, 349, 177, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 349, 281, 359]}, {\"cell\": \"47.9 (454)*\", \"bbox\": [368, 349, 406, 359]}, {\"cell\": \"<i>Tooth brushing:</i>\", \"bbox\": [11, 363, 63, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never or seldom\", \"bbox\": [11, 377, 67, 387]}, {\"cell\": \"19.1(73)\", \"bbox\": [142, 377, 171, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 377, 277, 387]}, {\"cell\": \"44.5 (170)\", \"bbox\": [368, 377, 403, 387]}, {\"cell\": \"Once a day\", \"bbox\": [11, 391, 49, 401]}, {\"cell\": \"19.3 (152)\", \"bbox\": [142, 391, 177, 401]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 391, 281, 401]}, {\"cell\": \"48.4 (382)\", \"bbox\": [368, 391, 402, 401]}, {\"cell\": \"More than once a day\", \"bbox\": [11, 405, 84, 415]}, {\"cell\": \"20.6 (118)\", \"bbox\": [142, 405, 177, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 405, 281, 415]}, {\"cell\": \"41.6 (239)*\", \"bbox\": [368, 405, 406, 415]}, {\"cell\": \"<i>Dental attendance:</i>\", \"bbox\": [11, 419, 74, 429]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [11, 433, 22, 443]}, {\"cell\": \"17.5 (273)\", \"bbox\": [143, 433, 177, 443]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 433, 281, 443]}, {\"cell\": \"44.8 (700)\", \"bbox\": [368, 433, 403, 443]}, {\"cell\": \"Yes\", \"bbox\": [11, 447, 24, 457]}, {\"cell\": \"38.5 (70)**\", \"bbox\": [142, 447, 179, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 447, 288, 457]}, {\"cell\": \"50.0 (91)\", \"bbox\": [368, 447, 398, 457]}, {\"cell\": \"<i>Use of F- toothpaste</i>\", \"bbox\": [11, 461, 76, 471]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [11, 475, 22, 485]}, {\"cell\": \"19.3 (110)\", \"bbox\": [143, 475, 177, 485]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 475, 277, 485]}, {\"cell\": \"51.6 (294)**\", \"bbox\": [368, 475, 409, 485]}, {\"cell\": \"Yes\", \"bbox\": [11, 489, 24, 499]}, {\"cell\": \"19.8 (233)\", \"bbox\": [142, 489, 177, 499]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 489, 285, 499]}, {\"cell\": \"42.3 (497)\", \"bbox\": [368, 489, 403, 499]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2868779_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}303{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td><b>Categories</b></td><td><b>Number (n)</b></td><td><b>Percentage (%)</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Utilisation of latrine</td><td>Yes</td><td>[EMPTY_CELL]</td><td>94.3</td></tr><tr><td>No</td><td>27</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">Reasons for latrine construction</td><td>Advice from health workers</td><td>[EMPTY_CELL]</td><td>16.5</td></tr><tr><td>Self-initiation</td><td>319</td><td>[EMPTY_CELL]</td></tr><tr><td>Peer pressure</td><td>49</td><td>[EMPTY_CELL]</td></tr><tr><td>Imposition from others</td><td>27</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Type of latrine</td><td>Direct pit</td><td>[EMPTY_CELL]</td><td>6.8</td></tr><tr><td>Pour flush</td><td>441</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Distance of latrine from kitchen (meter)</td><td><6</td><td>[EMPTY_CELL]</td><td>75.7</td></tr><tr><td>6–10</td><td>90</td><td>[EMPTY_CELL]</td></tr><tr><td>>10</td><td>25</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Years since latrine constructed</td><td><2</td><td>[EMPTY_CELL]</td><td>47.6</td></tr><tr><td>≥2</td><td>248</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Latrine cleaning</td><td>Always</td><td>[EMPTY_CELL]</td><td>65.3</td></tr><tr><td>Often</td><td>101</td><td>[EMPTY_CELL]</td></tr><tr><td>Rarely</td><td>63</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Assistance from government/NGO to build latrine</td><td>Yes</td><td>[EMPTY_CELL]</td><td>50.1</td></tr><tr><td>No</td><td>236</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Wall height over 1.5 m</td><td>Yes</td><td>[EMPTY_CELL]</td><td>89.4</td></tr><tr><td>No</td><td>50</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Closure for privacy</td><td>Yes</td><td>[EMPTY_CELL]</td><td>91.8</td></tr><tr><td>No</td><td>39</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Functional</td><td>Yes</td><td>[EMPTY_CELL]</td><td>89.9</td></tr><tr><td>No</td><td>48</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Need for maintenance</td><td>Yes</td><td>[EMPTY_CELL]</td><td>32.3</td></tr><tr><td>No</td><td>320</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 3, 53, 12]}, {\"cell\": \"<b>Categories</b>\", \"bbox\": [68, 3, 107, 12]}, {\"cell\": \"<b>Number (n)</b>\", \"bbox\": [135, 3, 177, 12]}, {\"cell\": \"<b>Percentage (%)</b>\", \"bbox\": [182, 3, 236, 12]}, {\"cell\": \"Utilisation of latrine\", \"bbox\": [1, 20, 64, 30]}, {\"cell\": \"Yes\", \"bbox\": [68, 20, 81, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 20, 149, 30]}, {\"cell\": \"94.3\", \"bbox\": [182, 20, 197, 30]}, {\"cell\": \"No\", \"bbox\": [68, 33, 80, 42]}, {\"cell\": \"27\", \"bbox\": [139, 33, 149, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 33, 197, 42]}, {\"cell\": \"Reasons for latrine construction\", \"bbox\": [1, 45, 61, 63]}, {\"cell\": \"Advice from health workers\", \"bbox\": [68, 45, 131, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 45, 149, 54]}, {\"cell\": \"16.5\", \"bbox\": [182, 45, 197, 54]}, {\"cell\": \"Self-initiation\", \"bbox\": [68, 66, 112, 75]}, {\"cell\": \"319\", \"bbox\": [135, 66, 149, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 66, 197, 75]}, {\"cell\": \"Peer pressure\", \"bbox\": [68, 78, 113, 87]}, {\"cell\": \"49\", \"bbox\": [139, 78, 149, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 78, 197, 87]}, {\"cell\": \"Imposition from others\", \"bbox\": [68, 90, 122, 108]}, {\"cell\": \"27\", \"bbox\": [139, 90, 149, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 90, 197, 99]}, {\"cell\": \"Type of latrine\", \"bbox\": [1, 111, 48, 121]}, {\"cell\": \"Direct pit\", \"bbox\": [68, 111, 100, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 111, 149, 121]}, {\"cell\": \"6.8\", \"bbox\": [186, 111, 197, 121]}, {\"cell\": \"Pour flush\", \"bbox\": [68, 123, 102, 133]}, {\"cell\": \"441\", \"bbox\": [135, 123, 149, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 123, 197, 133]}, {\"cell\": \"Distance of latrine from kitchen (meter)\", \"bbox\": [1, 135, 60, 163]}, {\"cell\": \"<6\", \"bbox\": [68, 135, 79, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 135, 149, 145]}, {\"cell\": \"75.7\", \"bbox\": [182, 135, 197, 145]}, {\"cell\": \"6–10\", \"bbox\": [68, 147, 86, 157]}, {\"cell\": \"90\", \"bbox\": [139, 147, 149, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 147, 197, 157]}, {\"cell\": \">10\", \"bbox\": [68, 159, 83, 169]}, {\"cell\": \"25\", \"bbox\": [139, 159, 149, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 159, 197, 169]}, {\"cell\": \"Years since latrine constructed\", \"bbox\": [1, 172, 59, 190]}, {\"cell\": \"<2\", \"bbox\": [68, 172, 79, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 172, 149, 181]}, {\"cell\": \"47.6\", \"bbox\": [182, 172, 197, 181]}, {\"cell\": \"≥2\", \"bbox\": [68, 184, 80, 193]}, {\"cell\": \"248\", \"bbox\": [135, 184, 149, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 184, 197, 193]}, {\"cell\": \"Latrine cleaning\", \"bbox\": [1, 196, 54, 205]}, {\"cell\": \"Always\", \"bbox\": [68, 196, 92, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 196, 149, 205]}, {\"cell\": \"65.3\", \"bbox\": [182, 196, 197, 205]}, {\"cell\": \"Often\", \"bbox\": [68, 208, 89, 217]}, {\"cell\": \"101\", \"bbox\": [135, 208, 149, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 208, 197, 217]}, {\"cell\": \"Rarely\", \"bbox\": [68, 220, 89, 229]}, {\"cell\": \"63\", \"bbox\": [139, 220, 149, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 220, 197, 229]}, {\"cell\": \"Assistance from government/NGO to build latrine\", \"bbox\": [1, 232, 53, 269]}, {\"cell\": \"Yes\", \"bbox\": [68, 232, 81, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 232, 149, 242]}, {\"cell\": \"50.1\", \"bbox\": [182, 232, 197, 242]}, {\"cell\": \"No\", \"bbox\": [68, 244, 80, 254]}, {\"cell\": \"236\", \"bbox\": [135, 244, 149, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 244, 197, 254]}, {\"cell\": \"Wall height over 1.5 m\", \"bbox\": [1, 271, 54, 290]}, {\"cell\": \"Yes\", \"bbox\": [68, 271, 81, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 271, 149, 281]}, {\"cell\": \"89.4\", \"bbox\": [182, 271, 197, 281]}, {\"cell\": \"No\", \"bbox\": [68, 283, 80, 293]}, {\"cell\": \"50\", \"bbox\": [139, 283, 149, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 283, 197, 293]}, {\"cell\": \"Closure for privacy\", \"bbox\": [1, 295, 62, 305]}, {\"cell\": \"Yes\", \"bbox\": [68, 295, 81, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 295, 149, 305]}, {\"cell\": \"91.8\", \"bbox\": [182, 295, 197, 305]}, {\"cell\": \"No\", \"bbox\": [68, 307, 80, 317]}, {\"cell\": \"39\", \"bbox\": [139, 307, 149, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 307, 197, 317]}, {\"cell\": \"Functional\", \"bbox\": [1, 319, 36, 329]}, {\"cell\": \"Yes\", \"bbox\": [68, 319, 81, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 319, 149, 329]}, {\"cell\": \"89.9\", \"bbox\": [182, 319, 197, 329]}, {\"cell\": \"No\", \"bbox\": [68, 332, 80, 341]}, {\"cell\": \"48\", \"bbox\": [139, 332, 149, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 332, 197, 341]}, {\"cell\": \"Need for maintenance\", \"bbox\": [0, 344, 57, 362]}, {\"cell\": \"Yes\", \"bbox\": [68, 344, 81, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 344, 149, 353]}, {\"cell\": \"32.3\", \"bbox\": [182, 344, 197, 353]}, {\"cell\": \"No\", \"bbox\": [68, 356, 79, 365]}, {\"cell\": \"320\", \"bbox\": [135, 356, 149, 365]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 356, 197, 365]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5469064_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}304{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Study reference number</b></td><td><b>Gene(s)</b></td><td><b>Total number of study subjects</b></td><td><b>Average cost/resource use</b></td></tr></thead><tbody><tr><td>[17–19]</td><td>CYP2D6 (extreme metabolism)</td><td>353</td><td>[EMPTY_CELL]</td></tr><tr><td>[17]</td><td>CYP2C19 (extreme metabolism)</td><td>104</td><td>[EMPTY_CELL]</td></tr><tr><td>[20]</td><td>CYP2D6, CYP2C19, SLC6A4, CYP2C9, CYP1A2, and 5HTR2A</td><td>91</td><td>[EMPTY_CELL]</td></tr><tr><td>[21]</td><td>The Genecept Assay</td><td>333</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study reference number</b>\", \"bbox\": [2, 4, 60, 25]}, {\"cell\": \"<b>Gene(s)</b>\", \"bbox\": [115, 9, 146, 20]}, {\"cell\": \"<b>Total number of study subjects</b>\", \"bbox\": [202, 4, 262, 25]}, {\"cell\": \"<b>Average cost/resource use</b>\", \"bbox\": [268, 9, 362, 20]}, {\"cell\": \"[17–19]\", \"bbox\": [2, 32, 30, 43]}, {\"cell\": \"CYP2D6 (extreme metabolism)\", \"bbox\": [73, 32, 188, 43]}, {\"cell\": \"353\", \"bbox\": [225, 32, 239, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 27, 499, 48]}, {\"cell\": \"[17]\", \"bbox\": [2, 51, 18, 62]}, {\"cell\": \"CYP2C19 (extreme metabolism)\", \"bbox\": [72, 51, 189, 62]}, {\"cell\": \"104\", \"bbox\": [225, 51, 239, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 51, 372, 62]}, {\"cell\": \"[20]\", \"bbox\": [2, 75, 19, 85]}, {\"cell\": \"CYP2D6, CYP2C19, SLC6A4, CYP2C9, CYP1A2, and 5HTR2A\", \"bbox\": [71, 69, 190, 91]}, {\"cell\": \"91\", \"bbox\": [227, 75, 237, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 64, 489, 96]}, {\"cell\": \"[21]\", \"bbox\": [2, 99, 18, 109]}, {\"cell\": \"The Genecept Assay\", \"bbox\": [94, 99, 168, 109]}, {\"cell\": \"333\", \"bbox\": [225, 99, 239, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 99, 495, 109]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4281386_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}305{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Unadjusted <i>β</i> (95% CI)</b></td><td><b>Unadjusted OR (95% CI)</b></td><td><b><i>P</i> value</b></td><td><b>Adjusted <i>β</i> (95% CI)<sup>a</sup> </b></td><td><b>Adjusted OR (95% CI)<sup>a</sup> </b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Se</td><td>−0.189 (−0.310, −0.069)</td><td>0.828 (0.734, 0.933)</td><td>0.002</td><td>[EMPTY_CELL]</td><td>0.831 (0.736, 0.939)</td><td>0.003</td></tr><tr><td>V</td><td>−0.001 (−0.008, 0.006)</td><td>0.999 (0.992, 1.006)</td><td>0.857</td><td>[EMPTY_CELL]</td><td>0.999 (0.993, 1.007)</td><td>0.978</td></tr><tr><td>Fe</td><td>0.003 (−0.001, 0.007)</td><td>1.003 (0.999, 1.007)</td><td>0.146</td><td>[EMPTY_CELL]</td><td>1.002 (0.997, 1.006)</td><td>0.447</td></tr><tr><td>Co</td><td>0.001 (−0.006, 0.008)</td><td>1.006 (0.994, 1.008)</td><td>0.858</td><td>[EMPTY_CELL]</td><td>1.003 (0.993, 1.008)</td><td>0.928</td></tr><tr><td>Cu</td><td>0.012 (0.001, 0.023)</td><td>1.012 (1.001, 1.023)</td><td>0.032</td><td>[EMPTY_CELL]</td><td>1.016 (1.004, 1.028)</td><td>0.007</td></tr><tr><td>Zn</td><td>0.002 (−0.006, 0.010)</td><td>1.002 (0.994, 1.010)</td><td>0.589</td><td>[EMPTY_CELL]</td><td>1.002 (0.993, 1.009)</td><td>0.801</td></tr><tr><td>Rb</td><td>−0.019 (−0.070, 0.031)</td><td>0.981 (0.933, 1.032)</td><td>0.453</td><td>[EMPTY_CELL]</td><td>0.975 (0.926, 1.026)</td><td>0.331</td></tr><tr><td>Sr</td><td>−0.054 (−0.262, 0.154)</td><td>0.947 (0.769, 1.066)</td><td>0.609</td><td>[EMPTY_CELL]</td><td>0.940 (0.757, 1.166)</td><td>0.573</td></tr><tr><td>Cs</td><td>0.000 (−0.010, 0.009)</td><td>1.000 (0.991, 1.009)</td><td>0.959</td><td>[EMPTY_CELL]</td><td>1.001 (0.991, 1.010)</td><td>0.910</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Unadjusted <i>β</i> (95% CI)</b>\", \"bbox\": [32, 1, 117, 17]}, {\"cell\": \"<b>Unadjusted OR (95% CI)</b>\", \"bbox\": [128, 4, 220, 15]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [229, 1, 258, 17]}, {\"cell\": \"<b>Adjusted <i>β</i> (95% CI)<sup>a</sup> </b>\", \"bbox\": [273, 1, 352, 17]}, {\"cell\": \"<b>Adjusted OR (95% CI)<sup>a</sup> </b>\", \"bbox\": [369, 3, 455, 15]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [468, 1, 497, 17]}, {\"cell\": \"Se\", \"bbox\": [2, 18, 13, 29]}, {\"cell\": \"−0.189 (−0.310, −0.069)\", \"bbox\": [31, 15, 117, 30]}, {\"cell\": \"0.828 (0.734, 0.933)\", \"bbox\": [138, 18, 209, 29]}, {\"cell\": \"0.002\", \"bbox\": [233, 18, 254, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 15, 356, 30]}, {\"cell\": \"0.831 (0.736, 0.939)\", \"bbox\": [378, 18, 448, 29]}, {\"cell\": \"0.003\", \"bbox\": [472, 18, 493, 29]}, {\"cell\": \"V\", \"bbox\": [2, 31, 11, 42]}, {\"cell\": \"−0.001 (−0.008, 0.006)\", \"bbox\": [33, 28, 116, 44]}, {\"cell\": \"0.999 (0.992, 1.006)\", \"bbox\": [138, 31, 210, 42]}, {\"cell\": \"0.857\", \"bbox\": [233, 31, 254, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 28, 352, 44]}, {\"cell\": \"0.999 (0.993, 1.007)\", \"bbox\": [377, 31, 449, 42]}, {\"cell\": \"0.978\", \"bbox\": [472, 31, 493, 42]}, {\"cell\": \"Fe\", \"bbox\": [2, 45, 13, 55]}, {\"cell\": \"0.003 (−0.001, 0.007)\", \"bbox\": [36, 41, 113, 57]}, {\"cell\": \"1.003 (0.999, 1.007)\", \"bbox\": [139, 45, 209, 55]}, {\"cell\": \"0.146\", \"bbox\": [233, 45, 254, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 41, 352, 57]}, {\"cell\": \"1.002 (0.997, 1.006)\", \"bbox\": [378, 45, 448, 55]}, {\"cell\": \"0.447\", \"bbox\": [472, 45, 493, 55]}, {\"cell\": \"Co\", \"bbox\": [2, 58, 15, 69]}, {\"cell\": \"0.001 (−0.006, 0.008)\", \"bbox\": [35, 55, 113, 70]}, {\"cell\": \"1.006 (0.994, 1.008)\", \"bbox\": [138, 58, 209, 69]}, {\"cell\": \"0.858\", \"bbox\": [233, 58, 254, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 55, 352, 70]}, {\"cell\": \"1.003 (0.993, 1.008)\", \"bbox\": [378, 58, 448, 69]}, {\"cell\": \"0.928\", \"bbox\": [472, 58, 493, 69]}, {\"cell\": \"Cu\", \"bbox\": [3, 71, 15, 82]}, {\"cell\": \"0.012 (0.001, 0.023)\", \"bbox\": [39, 71, 109, 82]}, {\"cell\": \"1.012 (1.001, 1.023)\", \"bbox\": [141, 71, 207, 82]}, {\"cell\": \"0.032\", \"bbox\": [233, 71, 254, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 71, 349, 82]}, {\"cell\": \"1.016 (1.004, 1.028)\", \"bbox\": [379, 71, 447, 82]}, {\"cell\": \"0.007\", \"bbox\": [472, 71, 494, 82]}, {\"cell\": \"Zn\", \"bbox\": [3, 84, 15, 95]}, {\"cell\": \"0.002 (−0.006, 0.010)\", \"bbox\": [36, 81, 113, 97]}, {\"cell\": \"1.002 (0.994, 1.010)\", \"bbox\": [139, 84, 208, 95]}, {\"cell\": \"0.589\", \"bbox\": [233, 84, 254, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 81, 351, 97]}, {\"cell\": \"1.002 (0.993, 1.009)\", \"bbox\": [378, 84, 448, 95]}, {\"cell\": \"0.801\", \"bbox\": [473, 84, 493, 95]}, {\"cell\": \"Rb\", \"bbox\": [3, 98, 15, 108]}, {\"cell\": \"−0.019 (−0.070, 0.031)\", \"bbox\": [34, 94, 114, 110]}, {\"cell\": \"0.981 (0.933, 1.032)\", \"bbox\": [140, 98, 208, 108]}, {\"cell\": \"0.453\", \"bbox\": [233, 98, 254, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 94, 354, 110]}, {\"cell\": \"0.975 (0.926, 1.026)\", \"bbox\": [378, 98, 448, 108]}, {\"cell\": \"0.331\", \"bbox\": [473, 98, 492, 108]}, {\"cell\": \"Sr\", \"bbox\": [3, 111, 12, 122]}, {\"cell\": \"−0.054 (−0.262, 0.154)\", \"bbox\": [33, 108, 115, 123]}, {\"cell\": \"0.947 (0.769, 1.066)\", \"bbox\": [138, 111, 209, 122]}, {\"cell\": \"0.609\", \"bbox\": [233, 111, 254, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 108, 354, 123]}, {\"cell\": \"0.940 (0.757, 1.166)\", \"bbox\": [379, 111, 447, 122]}, {\"cell\": \"0.573\", \"bbox\": [472, 111, 493, 122]}, {\"cell\": \"Cs\", \"bbox\": [3, 124, 14, 135]}, {\"cell\": \"0.000 (−0.010, 0.009)\", \"bbox\": [35, 121, 113, 136]}, {\"cell\": \"1.000 (0.991, 1.009)\", \"bbox\": [139, 124, 209, 135]}, {\"cell\": \"0.959\", \"bbox\": [233, 124, 254, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [276, 121, 351, 136]}, {\"cell\": \"1.001 (0.991, 1.010)\", \"bbox\": [380, 124, 446, 135]}, {\"cell\": \"0.910\", \"bbox\": [473, 124, 493, 135]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5818896_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}306{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Scientists’ recommendations/requirements</b></td><td><b>Very important</b></td><td><b>Moderately important</b></td><td><b>Not important</b></td><td><b>Not sure</b></td></tr></thead><tbody><tr><td>1. Evidence of contingency measures available to remove the GM mosquitoes if a hazard becomes evident during the course of release</td><td>81.7</td><td>11.0</td><td>1.8</td><td>[EMPTY_CELL]</td></tr><tr><td>2. Education campaigns on how GM mosquitoes reduce malaria</td><td>78.0</td><td>13.4</td><td>4.3</td><td>[EMPTY_CELL]</td></tr><tr><td>3. A confirmed trial in a community in Nigeria</td><td>76.8</td><td>10.4</td><td>5.5</td><td>[EMPTY_CELL]</td></tr><tr><td>4. Scientific evidence that it is possible to reduce malaria using GM mosquitoes</td><td>70.7</td><td>20.1</td><td>4.3</td><td>[EMPTY_CELL]</td></tr><tr><td>5. Mosquitoes to be modified captured from our environment</td><td>65.2</td><td>25.6</td><td>4.3</td><td>[EMPTY_CELL]</td></tr><tr><td>6. Approval from Nigerian government</td><td>65.9</td><td>24.4</td><td>5.5</td><td>[EMPTY_CELL]</td></tr><tr><td>7. Dialogue between Nigerian government, general public and scientists who modify mosquitoes</td><td>62.2</td><td>22.6</td><td>7.3</td><td>[EMPTY_CELL]</td></tr><tr><td>8. Evidence from a trial in another African country</td><td>62.2</td><td>22.6</td><td>7.3</td><td>[EMPTY_CELL]</td></tr><tr><td>9. Approval from a majority of the Nigerian public</td><td>55.5</td><td>26.8</td><td>15.2</td><td>[EMPTY_CELL]</td></tr><tr><td>10. Bed nets provided</td><td>51.8</td><td>25.0</td><td>15.2</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Scientists’ recommendations/requirements</b>\", \"bbox\": [1, 4, 150, 13]}, {\"cell\": \"<b>Very important</b>\", \"bbox\": [319, 4, 356, 22]}, {\"cell\": \"<b>Moderately important</b>\", \"bbox\": [362, 4, 403, 22]}, {\"cell\": \"<b>Not important</b>\", \"bbox\": [420, 4, 457, 22]}, {\"cell\": \"<b>Not sure</b>\", \"bbox\": [462, 4, 479, 22]}, {\"cell\": \"1. Evidence of contingency measures available to remove the GM mosquitoes if a hazard becomes evident during the course of release\", \"bbox\": [1, 26, 289, 45]}, {\"cell\": \"81.7\", \"bbox\": [319, 26, 334, 36]}, {\"cell\": \"11.0\", \"bbox\": [362, 26, 377, 36]}, {\"cell\": \"1.8\", \"bbox\": [420, 26, 431, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 26, 473, 36]}, {\"cell\": \"2. Education campaigns on how GM mosquitoes reduce malaria\", \"bbox\": [1, 49, 209, 59]}, {\"cell\": \"78.0\", \"bbox\": [319, 49, 334, 59]}, {\"cell\": \"13.4\", \"bbox\": [362, 49, 377, 59]}, {\"cell\": \"4.3\", \"bbox\": [420, 49, 431, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 49, 473, 59]}, {\"cell\": \"3. A confirmed trial in a community in Nigeria\", \"bbox\": [1, 63, 150, 73]}, {\"cell\": \"76.8\", \"bbox\": [319, 63, 334, 73]}, {\"cell\": \"10.4\", \"bbox\": [362, 63, 377, 73]}, {\"cell\": \"5.5\", \"bbox\": [420, 63, 431, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 63, 473, 73]}, {\"cell\": \"4. Scientific evidence that it is possible to reduce malaria using GM mosquitoes\", \"bbox\": [1, 77, 257, 87]}, {\"cell\": \"70.7\", \"bbox\": [319, 77, 334, 87]}, {\"cell\": \"20.1\", \"bbox\": [362, 77, 377, 87]}, {\"cell\": \"4.3\", \"bbox\": [420, 77, 431, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 77, 473, 87]}, {\"cell\": \"5. Mosquitoes to be modified captured from our environment\", \"bbox\": [1, 91, 202, 101]}, {\"cell\": \"65.2\", \"bbox\": [319, 91, 334, 101]}, {\"cell\": \"25.6\", \"bbox\": [362, 91, 377, 101]}, {\"cell\": \"4.3\", \"bbox\": [420, 91, 431, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 91, 473, 101]}, {\"cell\": \"6. Approval from Nigerian government\", \"bbox\": [1, 105, 127, 115]}, {\"cell\": \"65.9\", \"bbox\": [319, 105, 334, 115]}, {\"cell\": \"24.4\", \"bbox\": [362, 105, 377, 115]}, {\"cell\": \"5.5\", \"bbox\": [420, 105, 431, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 105, 473, 115]}, {\"cell\": \"7. Dialogue between Nigerian government, general public and scientists who modify mosquitoes\", \"bbox\": [1, 119, 299, 129]}, {\"cell\": \"62.2\", \"bbox\": [319, 119, 334, 129]}, {\"cell\": \"22.6\", \"bbox\": [362, 119, 377, 129]}, {\"cell\": \"7.3\", \"bbox\": [420, 119, 431, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 119, 473, 129]}, {\"cell\": \"8. Evidence from a trial in another African country\", \"bbox\": [1, 133, 163, 143]}, {\"cell\": \"62.2\", \"bbox\": [319, 133, 334, 143]}, {\"cell\": \"22.6\", \"bbox\": [362, 133, 377, 143]}, {\"cell\": \"7.3\", \"bbox\": [420, 133, 431, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 133, 473, 143]}, {\"cell\": \"9. Approval from a majority of the Nigerian public\", \"bbox\": [1, 147, 163, 157]}, {\"cell\": \"55.5\", \"bbox\": [319, 147, 334, 157]}, {\"cell\": \"26.8\", \"bbox\": [362, 147, 377, 157]}, {\"cell\": \"15.2\", \"bbox\": [420, 147, 435, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 147, 473, 157]}, {\"cell\": \"10. Bed nets provided\", \"bbox\": [1, 161, 73, 171]}, {\"cell\": \"51.8\", \"bbox\": [319, 161, 334, 171]}, {\"cell\": \"25.0\", \"bbox\": [362, 161, 377, 171]}, {\"cell\": \"15.2\", \"bbox\": [420, 161, 435, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 161, 473, 171]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4021343_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}307{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>coconut diet</b></td><td><b>butter diet</b></td><td><b>Lieber</b></td><td><b>Zou</b></td><td><b>Rivera</b></td><td colspan=\\\"2\\\"><b>Gauthier</b></td><td><b>Fan</b></td></tr></thead><tbody><tr><td><b>Rat</b></td><td>Wistar</td><td>Wistar</td><td>Sprague Dawley</td><td>Sprague Dawley</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">Sprague Dawley</td><td>Sprague Dawley</td></tr><tr><td><b>Fat (w/w)</b></td><td>45% coconut</td><td>45% butter</td><td>30.1% corn oil17.6% olive oil1.7% safflower oil</td><td>35.7% corn oil</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">3.4% corn oil14.6% lard</td><td>10% lard oil2% cholesterol</td></tr><tr><td><b>SFA (% fat)</b></td><td>86.5</td><td>51.3</td><td>13</td><td>13</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">34</td><td>39</td></tr><tr><td><b>MUFA (% fat)</b></td><td>5.8</td><td>21</td><td>41</td><td>24</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">42</td><td>45</td></tr><tr><td><b>PUFA (% fat)</b></td><td>1.8</td><td>3</td><td>42</td><td>59</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">20</td><td>21</td></tr><tr><td><b>Carbohydrate (w/w)</b></td><td colspan=\\\"2\\\">24.7% corn starch</td><td>16.2% dextrin maltose</td><td>13.4% sucrose</td><td>50% sucrose</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>nd</td></tr><tr><td><b>Time of diet (week)</b></td><td>14</td><td>14</td><td>3</td><td>6</td><td>[EMPTY_CELL]</td><td>8</td><td>16</td><td>12</td></tr><tr><td><b>steatosis</b></td><td>no</td><td>no</td><td>mild</td><td>mild</td><td>[EMPTY_CELL]</td><td>yes</td><td>yes</td><td>yes</td></tr><tr><td><b>inflammation</b></td><td>no</td><td>no</td><td>yes</td><td>yes</td><td>[EMPTY_CELL]</td><td>nd</td><td>nd</td><td>mild</td></tr><tr><td><b>fibrosis</b></td><td>no</td><td>no</td><td>yes</td><td>nd</td><td>[EMPTY_CELL]</td><td>nd</td><td>nd</td><td>no</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>coconut diet</b>\", \"bbox\": [91, 5, 141, 14]}, {\"cell\": \"<b>butter diet</b>\", \"bbox\": [148, 5, 191, 14]}, {\"cell\": \"<b>Lieber</b>\", \"bbox\": [223, 5, 249, 14]}, {\"cell\": \"<b>Zou</b>\", \"bbox\": [297, 5, 315, 14]}, {\"cell\": \"<b>Rivera</b>\", \"bbox\": [346, 5, 373, 14]}, {\"cell\": \"<b>Gauthier</b>\", \"bbox\": [396, 5, 433, 14]}, {\"cell\": \"<b>Fan</b>\", \"bbox\": [465, 5, 481, 14]}, {\"cell\": \"<b>Rat</b>\", \"bbox\": [37, 27, 52, 36]}, {\"cell\": \"Wistar\", \"bbox\": [103, 27, 129, 36]}, {\"cell\": \"Wistar\", \"bbox\": [157, 27, 182, 36]}, {\"cell\": \"Sprague Dawley\", \"bbox\": [208, 27, 264, 36]}, {\"cell\": \"Sprague Dawley\", \"bbox\": [292, 27, 320, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [347, 27, 372, 36]}, {\"cell\": \"Sprague Dawley\", \"bbox\": [400, 27, 429, 46]}, {\"cell\": \"Sprague Dawley\", \"bbox\": [459, 27, 487, 46]}, {\"cell\": \"<b>Fat (w/w)</b>\", \"bbox\": [25, 46, 64, 56]}, {\"cell\": \"45% coconut\", \"bbox\": [93, 46, 139, 56]}, {\"cell\": \"45% butter\", \"bbox\": [150, 46, 189, 56]}, {\"cell\": \"30.1% corn oil17.6% olive oil1.7% safflower oil\", \"bbox\": [206, 46, 266, 74]}, {\"cell\": \"35.7% corn oil\", \"bbox\": [281, 46, 331, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 46, 382, 56]}, {\"cell\": \"3.4% corn oil14.6% lard\", \"bbox\": [392, 46, 437, 65]}, {\"cell\": \"10% lard oil2% cholesterol\", \"bbox\": [447, 46, 499, 65]}, {\"cell\": \"<b>SFA (% fat)</b>\", \"bbox\": [22, 75, 67, 85]}, {\"cell\": \"86.5\", \"bbox\": [108, 75, 124, 85]}, {\"cell\": \"51.3\", \"bbox\": [161, 75, 178, 85]}, {\"cell\": \"13\", \"bbox\": [231, 75, 241, 85]}, {\"cell\": \"13\", \"bbox\": [301, 75, 311, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 75, 365, 85]}, {\"cell\": \"34\", \"bbox\": [409, 75, 420, 85]}, {\"cell\": \"39\", \"bbox\": [468, 75, 478, 85]}, {\"cell\": \"<b>MUFA (% fat)</b>\", \"bbox\": [17, 85, 72, 95]}, {\"cell\": \"5.8\", \"bbox\": [110, 85, 122, 95]}, {\"cell\": \"21\", \"bbox\": [164, 85, 175, 95]}, {\"cell\": \"41\", \"bbox\": [231, 85, 241, 95]}, {\"cell\": \"24\", \"bbox\": [301, 85, 311, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 85, 368, 95]}, {\"cell\": \"42\", \"bbox\": [409, 85, 420, 95]}, {\"cell\": \"45\", \"bbox\": [468, 85, 478, 95]}, {\"cell\": \"<b>PUFA (% fat)</b>\", \"bbox\": [18, 96, 71, 105]}, {\"cell\": \"1.8\", \"bbox\": [110, 95, 122, 105]}, {\"cell\": \"3\", \"bbox\": [166, 95, 173, 105]}, {\"cell\": \"42\", \"bbox\": [231, 95, 241, 105]}, {\"cell\": \"59\", \"bbox\": [301, 95, 311, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 95, 368, 105]}, {\"cell\": \"20\", \"bbox\": [409, 95, 420, 105]}, {\"cell\": \"21\", \"bbox\": [468, 95, 478, 105]}, {\"cell\": \"<b>Carbohydrate (w/w)</b>\", \"bbox\": [5, 106, 84, 115]}, {\"cell\": \"24.7% corn starch\", \"bbox\": [110, 106, 172, 115]}, {\"cell\": \"16.2% dextrin maltose\", \"bbox\": [198, 106, 274, 115]}, {\"cell\": \"13.4% sucrose\", \"bbox\": [281, 106, 331, 115]}, {\"cell\": \"50% sucrose\", \"bbox\": [338, 106, 382, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 106, 431, 125]}, {\"cell\": \"nd\", \"bbox\": [468, 106, 478, 115]}, {\"cell\": \"<b>Time of diet (week)</b>\", \"bbox\": [5, 125, 84, 135]}, {\"cell\": \"14\", \"bbox\": [111, 125, 121, 135]}, {\"cell\": \"14\", \"bbox\": [164, 125, 175, 135]}, {\"cell\": \"3\", \"bbox\": [233, 125, 239, 135]}, {\"cell\": \"6\", \"bbox\": [303, 125, 309, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 125, 363, 135]}, {\"cell\": \"8\", \"bbox\": [397, 125, 403, 135]}, {\"cell\": \"16\", \"bbox\": [424, 125, 434, 135]}, {\"cell\": \"12\", \"bbox\": [468, 125, 478, 135]}, {\"cell\": \"<b>steatosis</b>\", \"bbox\": [27, 136, 62, 145]}, {\"cell\": \"no\", \"bbox\": [111, 135, 121, 145]}, {\"cell\": \"no\", \"bbox\": [164, 135, 175, 145]}, {\"cell\": \"mild\", \"bbox\": [228, 135, 244, 145]}, {\"cell\": \"mild\", \"bbox\": [298, 135, 314, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 135, 365, 145]}, {\"cell\": \"yes\", \"bbox\": [393, 135, 406, 145]}, {\"cell\": \"yes\", \"bbox\": [423, 135, 436, 145]}, {\"cell\": \"yes\", \"bbox\": [467, 135, 479, 145]}, {\"cell\": \"<b>inflammation</b>\", \"bbox\": [18, 146, 71, 155]}, {\"cell\": \"no\", \"bbox\": [111, 146, 121, 155]}, {\"cell\": \"no\", \"bbox\": [164, 146, 175, 155]}, {\"cell\": \"yes\", \"bbox\": [230, 146, 242, 155]}, {\"cell\": \"yes\", \"bbox\": [299, 146, 312, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 146, 365, 155]}, {\"cell\": \"nd\", \"bbox\": [395, 146, 405, 155]}, {\"cell\": \"nd\", \"bbox\": [424, 146, 434, 155]}, {\"cell\": \"mild\", \"bbox\": [465, 146, 481, 155]}, {\"cell\": \"<b>fibrosis</b>\", \"bbox\": [30, 156, 59, 166]}, {\"cell\": \"no\", \"bbox\": [111, 156, 121, 166]}, {\"cell\": \"no\", \"bbox\": [164, 156, 175, 166]}, {\"cell\": \"yes\", \"bbox\": [230, 156, 242, 166]}, {\"cell\": \"nd\", \"bbox\": [301, 156, 311, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 156, 365, 166]}, {\"cell\": \"nd\", \"bbox\": [395, 156, 405, 166]}, {\"cell\": \"nd\", \"bbox\": [424, 156, 434, 166]}, {\"cell\": \"no\", \"bbox\": [468, 156, 478, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1805500_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}308{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Cluster size (mm<sup>3</sup>)</b></td><td><b>Peak location<sup>a</sup></b></td><td colspan=\\\"3\\\"><b>Talairach coordinates</b></td><td><b>Peak <i>t</i>-statistic</b></td><td><b><i>p</i>-Value</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>x</i></b></td><td><b><i>y</i></b></td><td><b><i>z</i></b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>984</td><td>Right ventral amygdala</td><td>[EMPTY_CELL]</td><td>−7</td><td>−12</td><td>6.028</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Right extended amygdala</td><td>[EMPTY_CELL]</td><td>−11</td><td>−10</td><td>4.021</td><td>0.001</td></tr><tr><td>784</td><td>Left ventral amygdala</td><td>[EMPTY_CELL]</td><td>−5</td><td>−16</td><td>4.773</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Left extended amygdala</td><td>[EMPTY_CELL]</td><td>−11</td><td>−10</td><td>4.699</td><td><0.001</td></tr><tr><td>2832</td><td>Left pMCC</td><td>[EMPTY_CELL]</td><td>−21</td><td>32</td><td>5.634</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Left PCC</td><td>[EMPTY_CELL]</td><td>−35</td><td>36</td><td>4.743</td><td><0.001</td></tr><tr><td>504</td><td>Right PCC</td><td>[EMPTY_CELL]</td><td>−33</td><td>32</td><td>4.900</td><td><0.001</td></tr><tr><td>3672</td><td>Left thalamus</td><td>[EMPTY_CELL]</td><td>−9</td><td>10</td><td>4.695</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Left thalamus</td><td>[EMPTY_CELL]</td><td>−19</td><td>0</td><td>4.282</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Right thalamus</td><td>[EMPTY_CELL]</td><td>−3</td><td>10</td><td>4.012</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Left thalamus</td><td>[EMPTY_CELL]</td><td>−27</td><td>8</td><td>3.889</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Left thalamus</td><td>[EMPTY_CELL]</td><td>−31</td><td>0</td><td>3.869</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Left thalamus</td><td>[EMPTY_CELL]</td><td>−25</td><td>0</td><td>3.816</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Left thalamus</td><td>[EMPTY_CELL]</td><td>−19</td><td>16</td><td>3.734</td><td>0.002</td></tr><tr><td>[EMPTY_CELL]</td><td>Right thalamus</td><td>[EMPTY_CELL]</td><td>−11</td><td>6</td><td>3.529</td><td>0.002</td></tr><tr><td>472</td><td>Right thalamus</td><td>[EMPTY_CELL]</td><td>−23</td><td>0</td><td>3.926</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Right thalamus</td><td>[EMPTY_CELL]</td><td>−23</td><td>16</td><td>3.402</td><td>0.003</td></tr><tr><td>[EMPTY_CELL]</td><td>Right thalamus</td><td>[EMPTY_CELL]</td><td>−31</td><td>10</td><td>3.147</td><td>0.005</td></tr><tr><td>312</td><td>Right PCC</td><td>[EMPTY_CELL]</td><td>−47</td><td>42</td><td>3.533</td><td>0.002</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Cluster size (mm<sup>3</sup>)</b>\", \"bbox\": [0, 5, 68, 15]}, {\"cell\": \"<b>Peak location<sup>a</sup></b>\", \"bbox\": [102, 5, 155, 15]}, {\"cell\": \"<b>Talairach coordinates</b>\", \"bbox\": [249, 6, 326, 15]}, {\"cell\": \"<b>Peak <i>t</i>-statistic</b>\", \"bbox\": [389, 6, 444, 16]}, {\"cell\": \"<b><i>p</i>-Value</b>\", \"bbox\": [478, 6, 507, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>x</i></b>\", \"bbox\": [222, 27, 228, 35]}, {\"cell\": \"<b><i>y</i></b>\", \"bbox\": [272, 27, 278, 35]}, {\"cell\": \"<b><i>z</i></b>\", \"bbox\": [322, 27, 328, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"984\", \"bbox\": [0, 46, 15, 55]}, {\"cell\": \"Right ventral amygdala\", \"bbox\": [102, 46, 179, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 46, 238, 55]}, {\"cell\": \"−7\", \"bbox\": [272, 46, 284, 55]}, {\"cell\": \"−12\", \"bbox\": [322, 46, 338, 55]}, {\"cell\": \"6.028\", \"bbox\": [389, 46, 409, 55]}, {\"cell\": \"<0.001\", \"bbox\": [478, 46, 504, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Right extended amygdala\", \"bbox\": [102, 58, 188, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 58, 238, 66]}, {\"cell\": \"−11\", \"bbox\": [272, 58, 287, 66]}, {\"cell\": \"−10\", \"bbox\": [322, 58, 338, 66]}, {\"cell\": \"4.021\", \"bbox\": [389, 58, 409, 66]}, {\"cell\": \"0.001\", \"bbox\": [484, 58, 504, 66]}, {\"cell\": \"784\", \"bbox\": [1, 69, 15, 78]}, {\"cell\": \"Left ventral amygdala\", \"bbox\": [102, 69, 175, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 69, 238, 78]}, {\"cell\": \"−5\", \"bbox\": [272, 69, 284, 78]}, {\"cell\": \"−16\", \"bbox\": [322, 69, 338, 78]}, {\"cell\": \"4.773\", \"bbox\": [389, 69, 409, 78]}, {\"cell\": \"<0.001\", \"bbox\": [478, 69, 504, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left extended amygdala\", \"bbox\": [102, 80, 183, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 80, 238, 89]}, {\"cell\": \"−11\", \"bbox\": [272, 80, 287, 89]}, {\"cell\": \"−10\", \"bbox\": [322, 80, 338, 89]}, {\"cell\": \"4.699\", \"bbox\": [389, 80, 409, 89]}, {\"cell\": \"<0.001\", \"bbox\": [478, 80, 504, 89]}, {\"cell\": \"2832\", \"bbox\": [1, 92, 19, 101]}, {\"cell\": \"Left pMCC\", \"bbox\": [102, 92, 140, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 92, 238, 101]}, {\"cell\": \"−21\", \"bbox\": [272, 92, 288, 101]}, {\"cell\": \"32\", \"bbox\": [328, 92, 338, 101]}, {\"cell\": \"5.634\", \"bbox\": [389, 92, 409, 101]}, {\"cell\": \"<0.001\", \"bbox\": [478, 92, 504, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left PCC\", \"bbox\": [102, 103, 133, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 103, 237, 112]}, {\"cell\": \"−35\", \"bbox\": [272, 103, 288, 112]}, {\"cell\": \"36\", \"bbox\": [328, 103, 338, 112]}, {\"cell\": \"4.743\", \"bbox\": [389, 103, 408, 112]}, {\"cell\": \"<0.001\", \"bbox\": [478, 103, 504, 112]}, {\"cell\": \"504\", \"bbox\": [1, 115, 15, 124]}, {\"cell\": \"Right PCC\", \"bbox\": [102, 115, 138, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 115, 238, 124]}, {\"cell\": \"−33\", \"bbox\": [272, 115, 288, 124]}, {\"cell\": \"32\", \"bbox\": [328, 115, 338, 124]}, {\"cell\": \"4.900\", \"bbox\": [389, 115, 409, 124]}, {\"cell\": \"<0.001\", \"bbox\": [478, 115, 504, 124]}, {\"cell\": \"3672\", \"bbox\": [1, 126, 19, 135]}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 126, 149, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 126, 234, 135]}, {\"cell\": \"−9\", \"bbox\": [272, 126, 284, 135]}, {\"cell\": \"10\", \"bbox\": [328, 126, 338, 135]}, {\"cell\": \"4.695\", \"bbox\": [389, 126, 409, 135]}, {\"cell\": \"<0.001\", \"bbox\": [478, 126, 504, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 138, 149, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 138, 238, 147]}, {\"cell\": \"−19\", \"bbox\": [272, 138, 288, 147]}, {\"cell\": \"0\", \"bbox\": [328, 138, 334, 147]}, {\"cell\": \"4.282\", \"bbox\": [389, 138, 409, 147]}, {\"cell\": \"<0.001\", \"bbox\": [478, 138, 504, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Right thalamus\", \"bbox\": [102, 149, 154, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 149, 237, 158]}, {\"cell\": \"−3\", \"bbox\": [272, 149, 284, 158]}, {\"cell\": \"10\", \"bbox\": [328, 149, 338, 158]}, {\"cell\": \"4.012\", \"bbox\": [389, 149, 408, 158]}, {\"cell\": \"0.001\", \"bbox\": [484, 149, 504, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 161, 149, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 161, 238, 170]}, {\"cell\": \"−27\", \"bbox\": [272, 161, 288, 170]}, {\"cell\": \"8\", \"bbox\": [328, 161, 334, 170]}, {\"cell\": \"3.889\", \"bbox\": [389, 161, 409, 170]}, {\"cell\": \"0.001\", \"bbox\": [484, 161, 504, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 172, 149, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 172, 238, 181]}, {\"cell\": \"−31\", \"bbox\": [272, 172, 288, 181]}, {\"cell\": \"0\", \"bbox\": [328, 172, 334, 181]}, {\"cell\": \"3.869\", \"bbox\": [389, 172, 409, 181]}, {\"cell\": \"0.001\", \"bbox\": [484, 172, 504, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 184, 149, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 184, 238, 193]}, {\"cell\": \"−25\", \"bbox\": [272, 184, 288, 193]}, {\"cell\": \"0\", \"bbox\": [328, 184, 334, 193]}, {\"cell\": \"3.816\", \"bbox\": [389, 184, 409, 193]}, {\"cell\": \"0.001\", \"bbox\": [484, 184, 504, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left thalamus\", \"bbox\": [102, 195, 149, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 195, 238, 204]}, {\"cell\": \"−19\", \"bbox\": [272, 195, 288, 204]}, {\"cell\": \"16\", \"bbox\": [328, 195, 338, 204]}, {\"cell\": \"3.734\", \"bbox\": [389, 195, 409, 204]}, {\"cell\": \"0.002\", \"bbox\": [484, 195, 505, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Right thalamus\", \"bbox\": [102, 206, 154, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 206, 234, 215]}, {\"cell\": \"−11\", \"bbox\": [272, 206, 287, 215]}, {\"cell\": \"6\", \"bbox\": [328, 206, 334, 215]}, {\"cell\": \"3.529\", \"bbox\": [389, 206, 409, 215]}, {\"cell\": \"0.002\", \"bbox\": [484, 206, 505, 215]}, {\"cell\": \"472\", \"bbox\": [0, 218, 15, 227]}, {\"cell\": \"Right thalamus\", \"bbox\": [102, 218, 154, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 218, 238, 227]}, {\"cell\": \"−23\", \"bbox\": [272, 218, 288, 227]}, {\"cell\": \"0\", \"bbox\": [328, 218, 334, 227]}, {\"cell\": \"3.926\", \"bbox\": [389, 218, 409, 227]}, {\"cell\": \"0.001\", \"bbox\": [484, 218, 504, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Right thalamus\", \"bbox\": [102, 229, 154, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 229, 238, 238]}, {\"cell\": \"−23\", \"bbox\": [272, 229, 288, 238]}, {\"cell\": \"16\", \"bbox\": [328, 229, 338, 238]}, {\"cell\": \"3.402\", \"bbox\": [389, 229, 409, 238]}, {\"cell\": \"0.003\", \"bbox\": [484, 229, 505, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Right thalamus\", \"bbox\": [102, 241, 154, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 241, 238, 250]}, {\"cell\": \"−31\", \"bbox\": [272, 241, 288, 250]}, {\"cell\": \"10\", \"bbox\": [328, 241, 338, 250]}, {\"cell\": \"3.147\", \"bbox\": [389, 241, 409, 250]}, {\"cell\": \"0.005\", \"bbox\": [484, 241, 505, 250]}, {\"cell\": \"312\", \"bbox\": [0, 252, 15, 261]}, {\"cell\": \"Right PCC\", \"bbox\": [102, 252, 138, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 252, 234, 261]}, {\"cell\": \"−47\", \"bbox\": [272, 252, 288, 261]}, {\"cell\": \"42\", \"bbox\": [328, 252, 338, 261]}, {\"cell\": \"3.533\", \"bbox\": [389, 252, 409, 261]}, {\"cell\": \"0.002\", \"bbox\": [484, 252, 505, 261]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3582324_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}309{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>KO term</b></td><td><b>No. of DEGs</b></td><td><b>No. of genes</b></td><td><b>p-value</b></td><td><b>Pathways</b></td></tr></thead><tbody><tr><td>ko03050</td><td>87 ((0.6%))</td><td>104 (0.38%)</td><td>1.177307e-10</td><td>[EMPTY_CELL]</td></tr><tr><td>ko04141</td><td>358 (2.45%)</td><td>533 (1.96%)</td><td>1.450501e-10</td><td>[EMPTY_CELL]</td></tr><tr><td>ko03013</td><td>380 (2.6%)</td><td>571 (2.1%)</td><td>2.417814e-10</td><td>[EMPTY_CELL]</td></tr><tr><td>ko00190</td><td>222 (1.52%)</td><td>315 (1.16%)</td><td>7.983256e-10</td><td>[EMPTY_CELL]</td></tr><tr><td>ko00020</td><td>111 (0.76%)</td><td>148 (0.54%)</td><td>7.634897e-08</td><td>[EMPTY_CELL]</td></tr><tr><td>ko00010</td><td>143 (0.98%)</td><td>199 (0.73%)</td><td>1.168776e-07</td><td>[EMPTY_CELL]</td></tr><tr><td>ko04130</td><td>65 (0.45%)</td><td>80 (0.29%)</td><td>2.460867e-07</td><td>[EMPTY_CELL]</td></tr><tr><td>ko00280</td><td>131 (0.9%)</td><td>183 (0.67%)</td><td>5.546992e-07</td><td>[EMPTY_CELL]</td></tr><tr><td>ko03040</td><td>383 (2.62%)</td><td>609 (2.24%)</td><td>2.553937e-06</td><td>[EMPTY_CELL]</td></tr><tr><td>ko00030</td><td>69 (0.47%)</td><td>89 (0.33%)</td><td>2.854414e-06</td><td>[EMPTY_CELL]</td></tr><tr><td>ko04910</td><td>287 (1.97%)</td><td>453 (1.67%)</td><td>1.953777e-05</td><td>[EMPTY_CELL]</td></tr><tr><td>ko04380</td><td>155 (1.06%)</td><td>232 (0.85%)</td><td>3.401093e-05</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>KO term</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>No. of DEGs</b>\", \"bbox\": [75, 4, 118, 13]}, {\"cell\": \"<b>No. of genes</b>\", \"bbox\": [162, 4, 208, 13]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [251, 4, 279, 13]}, {\"cell\": \"<b>Pathways</b>\", \"bbox\": [339, 4, 374, 13]}, {\"cell\": \"ko03050\", \"bbox\": [1, 17, 29, 27]}, {\"cell\": \"87 ((0.6%))\", \"bbox\": [75, 17, 110, 27]}, {\"cell\": \"104 (0.38%)\", \"bbox\": [162, 17, 201, 27]}, {\"cell\": \"1.177307e-10\", \"bbox\": [251, 17, 295, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 17, 379, 27]}, {\"cell\": \"ko04141\", \"bbox\": [1, 31, 29, 41]}, {\"cell\": \"358 (2.45%)\", \"bbox\": [75, 31, 114, 41]}, {\"cell\": \"533 (1.96%)\", \"bbox\": [162, 31, 201, 41]}, {\"cell\": \"1.450501e-10\", \"bbox\": [251, 31, 295, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 31, 484, 41]}, {\"cell\": \"ko03013\", \"bbox\": [1, 45, 29, 55]}, {\"cell\": \"380 (2.6%)\", \"bbox\": [75, 45, 110, 55]}, {\"cell\": \"571 (2.1%)\", \"bbox\": [162, 45, 197, 55]}, {\"cell\": \"2.417814e-10\", \"bbox\": [251, 45, 295, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 45, 386, 55]}, {\"cell\": \"ko00190\", \"bbox\": [1, 59, 29, 69]}, {\"cell\": \"222 (1.52%)\", \"bbox\": [75, 59, 114, 69]}, {\"cell\": \"315 (1.16%)\", \"bbox\": [162, 59, 201, 69]}, {\"cell\": \"7.983256e-10\", \"bbox\": [251, 59, 295, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 59, 424, 69]}, {\"cell\": \"ko00020\", \"bbox\": [1, 73, 29, 83]}, {\"cell\": \"111 (0.76%)\", \"bbox\": [75, 73, 114, 83]}, {\"cell\": \"148 (0.54%)\", \"bbox\": [162, 73, 201, 83]}, {\"cell\": \"7.634897e-08\", \"bbox\": [251, 73, 295, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 73, 417, 83]}, {\"cell\": \"ko00010\", \"bbox\": [1, 87, 29, 97]}, {\"cell\": \"143 (0.98%)\", \"bbox\": [75, 87, 114, 97]}, {\"cell\": \"199 (0.73%)\", \"bbox\": [162, 87, 201, 97]}, {\"cell\": \"1.168776e-07\", \"bbox\": [251, 87, 295, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 87, 428, 97]}, {\"cell\": \"ko04130\", \"bbox\": [1, 101, 29, 111]}, {\"cell\": \"65 (0.45%)\", \"bbox\": [75, 101, 110, 111]}, {\"cell\": \"80 (0.29%)\", \"bbox\": [162, 101, 197, 111]}, {\"cell\": \"2.460867e-07\", \"bbox\": [251, 101, 295, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 101, 470, 111]}, {\"cell\": \"ko00280\", \"bbox\": [1, 115, 29, 125]}, {\"cell\": \"131 (0.9%)\", \"bbox\": [75, 115, 110, 125]}, {\"cell\": \"183 (0.67%)\", \"bbox\": [162, 115, 201, 125]}, {\"cell\": \"5.546992e-07\", \"bbox\": [251, 115, 295, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 115, 476, 125]}, {\"cell\": \"ko03040\", \"bbox\": [1, 129, 29, 139]}, {\"cell\": \"383 (2.62%)\", \"bbox\": [75, 129, 114, 139]}, {\"cell\": \"609 (2.24%)\", \"bbox\": [162, 129, 201, 139]}, {\"cell\": \"2.553937e-06\", \"bbox\": [251, 129, 295, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 129, 380, 139]}, {\"cell\": \"ko00030\", \"bbox\": [1, 143, 29, 153]}, {\"cell\": \"69 (0.47%)\", \"bbox\": [75, 143, 110, 153]}, {\"cell\": \"89 (0.33%)\", \"bbox\": [162, 143, 197, 153]}, {\"cell\": \"2.854414e-06\", \"bbox\": [251, 143, 295, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 143, 433, 153]}, {\"cell\": \"ko04910\", \"bbox\": [1, 157, 29, 167]}, {\"cell\": \"287 (1.97%)\", \"bbox\": [75, 157, 114, 167]}, {\"cell\": \"453 (1.67%)\", \"bbox\": [162, 157, 201, 167]}, {\"cell\": \"1.953777e-05\", \"bbox\": [251, 157, 295, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 157, 422, 167]}, {\"cell\": \"ko04380\", \"bbox\": [1, 171, 29, 181]}, {\"cell\": \"155 (1.06%)\", \"bbox\": [75, 171, 114, 181]}, {\"cell\": \"232 (0.85%)\", \"bbox\": [162, 171, 201, 181]}, {\"cell\": \"3.401093e-05\", \"bbox\": [251, 171, 295, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 171, 419, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4328836_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}310{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Exercise group</b></td><td><b>Dopamine agonists group</b></td><td><b>Placebo group</b></td></tr></thead><tbody><tr><td><b>DEXA-derived data</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Total Body Fat (%)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Baseline</td><td>30.9±9.0</td><td>31.9±11.2</td><td>[EMPTY_CELL]</td></tr><tr><td>6-m post</td><td>30.5±8.1</td><td>27.1±7.5</td><td>[EMPTY_CELL]</td></tr><tr><td>Δ Change</td><td>- 0.38±1.83</td><td>- 4.71±10.86</td><td>[EMPTY_CELL]</td></tr><tr><td>95% CI of Δ change</td><td>−1.39 to 0.63</td><td>−14.70 to 5.32</td><td>[EMPTY_CELL]</td></tr><tr><td><b>% Legs Fat</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Baseline</td><td>32.7±10.2</td><td>29.9±13.2</td><td>[EMPTY_CELL]</td></tr><tr><td>6-m post</td><td>32.3±9.3</td><td>25.1±8.9</td><td>[EMPTY_CELL]</td></tr><tr><td>Δ Change</td><td>- 0.37±2.71</td><td>- 4.86±11.03</td><td>[EMPTY_CELL]</td></tr><tr><td>95% CI of Δ change</td><td>−1.86 to 1.12</td><td>−15.05 to 5.28</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Total LBM (Kg)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Baseline</td><td>45.3±7.8</td><td>47.7±5.4</td><td>[EMPTY_CELL]</td></tr><tr><td>6-m post</td><td>46.7±8.3†</td><td>49.8±3.4</td><td>[EMPTY_CELL]</td></tr><tr><td>Δ Change</td><td>1.38±1.23</td><td>2.12±4.85</td><td>[EMPTY_CELL]</td></tr><tr><td>95% CI of Δ change</td><td>2.06 to 0.70</td><td>6.61 to −2.37</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 34, 13]}, {\"cell\": \"<b>Exercise group</b>\", \"bbox\": [141, 4, 194, 13]}, {\"cell\": \"<b>Dopamine agonists group</b>\", \"bbox\": [267, 4, 359, 13]}, {\"cell\": \"<b>Placebo group</b>\", \"bbox\": [432, 4, 484, 13]}, {\"cell\": \"<b>DEXA-derived data</b>\", \"bbox\": [1, 17, 68, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total Body Fat (%)</b>\", \"bbox\": [1, 31, 67, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [1, 45, 28, 54]}, {\"cell\": \"30.9±9.0\", \"bbox\": [153, 45, 182, 54]}, {\"cell\": \"31.9±11.2\", \"bbox\": [297, 45, 329, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 45, 472, 54]}, {\"cell\": \"6-m post\", \"bbox\": [1, 59, 31, 68]}, {\"cell\": \"30.5±8.1\", \"bbox\": [153, 59, 182, 68]}, {\"cell\": \"27.1±7.5\", \"bbox\": [299, 59, 327, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 59, 472, 68]}, {\"cell\": \"Δ Change\", \"bbox\": [1, 73, 35, 82]}, {\"cell\": \"- 0.38±1.83\", \"bbox\": [149, 73, 186, 82]}, {\"cell\": \"- 4.71±10.86\", \"bbox\": [292, 73, 333, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 73, 474, 82]}, {\"cell\": \"95% CI of Δ change\", \"bbox\": [1, 87, 67, 96]}, {\"cell\": \"−1.39 to 0.63\", \"bbox\": [145, 87, 189, 96]}, {\"cell\": \"−14.70 to 5.32\", \"bbox\": [289, 87, 337, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 87, 478, 96]}, {\"cell\": \"<b>% Legs Fat</b>\", \"bbox\": [1, 101, 41, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [1, 115, 28, 124]}, {\"cell\": \"32.7±10.2\", \"bbox\": [151, 115, 184, 124]}, {\"cell\": \"29.9±13.2\", \"bbox\": [297, 115, 329, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 115, 472, 124]}, {\"cell\": \"6-m post\", \"bbox\": [1, 129, 31, 138]}, {\"cell\": \"32.3±9.3\", \"bbox\": [153, 129, 182, 138]}, {\"cell\": \"25.1±8.9\", \"bbox\": [299, 129, 327, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 129, 472, 138]}, {\"cell\": \"Δ Change\", \"bbox\": [1, 143, 35, 152]}, {\"cell\": \"- 0.37±2.71\", \"bbox\": [149, 143, 186, 152]}, {\"cell\": \"- 4.86±11.03\", \"bbox\": [292, 143, 333, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 143, 474, 152]}, {\"cell\": \"95% CI of Δ change\", \"bbox\": [1, 157, 67, 166]}, {\"cell\": \"−1.86 to 1.12\", \"bbox\": [145, 157, 189, 166]}, {\"cell\": \"−15.05 to 5.28\", \"bbox\": [289, 157, 337, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 157, 480, 166]}, {\"cell\": \"<b>Total LBM (Kg)</b>\", \"bbox\": [1, 171, 54, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [1, 185, 28, 194]}, {\"cell\": \"45.3±7.8\", \"bbox\": [153, 185, 182, 194]}, {\"cell\": \"47.7±5.4\", \"bbox\": [299, 185, 327, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 185, 472, 194]}, {\"cell\": \"6-m post\", \"bbox\": [1, 199, 31, 208]}, {\"cell\": \"46.7±8.3†\", \"bbox\": [151, 199, 184, 208]}, {\"cell\": \"49.8±3.4\", \"bbox\": [299, 199, 327, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 199, 472, 208]}, {\"cell\": \"Δ Change\", \"bbox\": [1, 213, 35, 222]}, {\"cell\": \"1.38±1.23\", \"bbox\": [151, 213, 184, 222]}, {\"cell\": \"2.12±4.85\", \"bbox\": [297, 213, 329, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [440, 213, 477, 222]}, {\"cell\": \"95% CI of Δ change\", \"bbox\": [1, 227, 67, 236]}, {\"cell\": \"2.06 to 0.70\", \"bbox\": [148, 227, 187, 236]}, {\"cell\": \"6.61 to −2.37\", \"bbox\": [291, 227, 335, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 227, 482, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3847208_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}311{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Overall (<i>n</i> = 1369)</b></td><td><b>Urban (<i>n</i> = 542)</b></td><td><b>Rural (<i>n</i> = 561)</b></td><td><b>Institutionalized (<i>n</i> = 266)</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>SF-36v2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Physical functioning (PF)</td><td>48.06 ± 9.93</td><td>48.92 ± 8.54</td><td>49.97 ± 8.91</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> Role-physical (RP)</td><td>48.41 ± 10.86</td><td>51.40 ± 9.04</td><td>46.61 ± 11.61</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> Bodily pain (BP)</td><td>50.66 ± 12.17</td><td>51.40 ± 11.71</td><td>50.38 ± 12.52</td><td>[EMPTY_CELL]</td><td>0.1490</td></tr><tr><td> General health (GH)</td><td>45.76 ± 11.86</td><td>45.47 ± 12.03</td><td>45.85 ± 11.70</td><td>[EMPTY_CELL]</td><td>0.7354</td></tr><tr><td> Vitality (VT)</td><td>56.37 ± 11.10</td><td>56.82 ± 10.51</td><td>56.83 ± 11.24</td><td>[EMPTY_CELL]</td><td><0.0077</td></tr><tr><td> Social functioning (SF)</td><td>50.95 ± 10.27</td><td>53.10 ± 8.88</td><td>50.12 ± 10.49</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> Role-emotional (RE)</td><td>50.23 ± 9.61</td><td>52.70 ± 7.42</td><td>48.33 ± 10.56</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> Mental health (MH)</td><td>53.88 ± 10.33</td><td>55.14 ± 9.41</td><td>52.88 ± 11.29</td><td>[EMPTY_CELL]</td><td><0.0010</td></tr><tr><td> Physical component summary (PCS)</td><td>47.05 ± 9.95</td><td>47.87 ± 9.27</td><td>47.76 ± 9.79</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> Mental component summary (MCS)</td><td>54.38 ± 9.92</td><td>56.12 ± 8.40</td><td>52.77 ± 10.90</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td>WHOQOL-OLD</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Sensory abilities (SAB)</td><td>74.74 ± 22.30</td><td>77.72 ± 20.55</td><td>72.17 ± 22.99</td><td>[EMPTY_CELL]</td><td>0.0002</td></tr><tr><td> Autonomy (AUT)</td><td>71.23 ± 19.93</td><td>73.99 ± 20.32</td><td>70.10 ± 18.55</td><td>[EMPTY_CELL]</td><td>0.0001</td></tr><tr><td> Past, present and future activities (PPF) </td><td>72.10 ± 14.94</td><td>71.83 ± 14.99</td><td>74.52 ± 14.10</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> Social participation (SOP)</td><td>68.29 ± 16.45</td><td>66.90 ± 16.20</td><td>70.58 ± 15.51</td><td>[EMPTY_CELL]</td><td>0.0001</td></tr><tr><td> Death and dying (DAD)</td><td>88.31 ± 18.32</td><td>87.00 ± 18.85</td><td>89.45 ± 18.36</td><td>[EMPTY_CELL]</td><td>0.0831</td></tr><tr><td> Intimacy (INT)</td><td>63.42 ± 23.99</td><td>68.23 ± 22.01</td><td>60.90 ± 25.24</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> WHOQOL-OLD total</td><td>73.01 ± 11.99</td><td>74.28 ± 12.08</td><td>72.95 ± 11.46</td><td>[EMPTY_CELL]</td><td>0.0002</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Overall (<i>n</i> = 1369)</b>\", \"bbox\": [164, 4, 199, 23]}, {\"cell\": \"<b>Urban (<i>n</i> = 542)</b>\", \"bbox\": [228, 4, 259, 23]}, {\"cell\": \"<b>Rural (<i>n</i> = 561)</b>\", \"bbox\": [288, 4, 319, 23]}, {\"cell\": \"<b>Institutionalized (<i>n</i> = 266)</b>\", \"bbox\": [336, 4, 396, 23]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [410, 11, 416, 18]}, {\"cell\": \"SF-36v2\", \"bbox\": [6, 27, 34, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Physical functioning (PF)\", \"bbox\": [13, 36, 100, 46]}, {\"cell\": \"48.06 ± 9.93\", \"bbox\": [160, 36, 202, 46]}, {\"cell\": \"48.92 ± 8.54\", \"bbox\": [222, 36, 265, 46]}, {\"cell\": \"49.97 ± 8.91\", \"bbox\": [282, 36, 325, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 36, 386, 46]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 36, 427, 46]}, {\"cell\": \" Role-physical (RP)\", \"bbox\": [13, 46, 78, 55]}, {\"cell\": \"48.41 ± 10.86\", \"bbox\": [158, 46, 204, 55]}, {\"cell\": \"51.40 ± 9.04\", \"bbox\": [222, 46, 265, 55]}, {\"cell\": \"46.61 ± 11.61\", \"bbox\": [280, 46, 327, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 46, 386, 55]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 46, 427, 55]}, {\"cell\": \" Bodily pain (BP)\", \"bbox\": [13, 55, 71, 65]}, {\"cell\": \"50.66 ± 12.17\", \"bbox\": [158, 55, 204, 65]}, {\"cell\": \"51.40 ± 11.71\", \"bbox\": [221, 55, 267, 65]}, {\"cell\": \"50.38 ± 12.52\", \"bbox\": [280, 55, 327, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 55, 386, 65]}, {\"cell\": \"0.1490\", \"bbox\": [402, 55, 425, 65]}, {\"cell\": \" General health (GH)\", \"bbox\": [13, 64, 84, 74]}, {\"cell\": \"45.76 ± 11.86\", \"bbox\": [158, 64, 204, 74]}, {\"cell\": \"45.47 ± 12.03\", \"bbox\": [221, 64, 267, 74]}, {\"cell\": \"45.85 ± 11.70\", \"bbox\": [280, 64, 327, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 64, 386, 74]}, {\"cell\": \"0.7354\", \"bbox\": [402, 64, 425, 74]}, {\"cell\": \" Vitality (VT)\", \"bbox\": [13, 74, 57, 83]}, {\"cell\": \"56.37 ± 11.10\", \"bbox\": [158, 74, 204, 83]}, {\"cell\": \"56.82 ± 10.51\", \"bbox\": [221, 74, 267, 83]}, {\"cell\": \"56.83 ± 11.24\", \"bbox\": [280, 74, 327, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 74, 386, 83]}, {\"cell\": \"<0.0077\", \"bbox\": [400, 74, 427, 83]}, {\"cell\": \" Social functioning (SF)\", \"bbox\": [13, 83, 91, 93]}, {\"cell\": \"50.95 ± 10.27\", \"bbox\": [158, 83, 204, 93]}, {\"cell\": \"53.10 ± 8.88\", \"bbox\": [222, 83, 265, 93]}, {\"cell\": \"50.12 ± 10.49\", \"bbox\": [280, 83, 327, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 83, 386, 93]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 83, 427, 93]}, {\"cell\": \" Role-emotional (RE)\", \"bbox\": [13, 92, 83, 102]}, {\"cell\": \"50.23 ± 9.61\", \"bbox\": [160, 92, 202, 102]}, {\"cell\": \"52.70 ± 7.42\", \"bbox\": [222, 92, 265, 102]}, {\"cell\": \"48.33 ± 10.56\", \"bbox\": [280, 92, 327, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 92, 386, 102]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 92, 427, 102]}, {\"cell\": \" Mental health (MH)\", \"bbox\": [13, 102, 82, 111]}, {\"cell\": \"53.88 ± 10.33\", \"bbox\": [158, 102, 204, 111]}, {\"cell\": \"55.14 ± 9.41\", \"bbox\": [222, 102, 265, 111]}, {\"cell\": \"52.88 ± 11.29\", \"bbox\": [280, 102, 327, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 102, 384, 111]}, {\"cell\": \"<0.0010\", \"bbox\": [400, 102, 427, 111]}, {\"cell\": \" Physical component summary (PCS)\", \"bbox\": [13, 111, 139, 121]}, {\"cell\": \"47.05 ± 9.95\", \"bbox\": [160, 111, 202, 121]}, {\"cell\": \"47.87 ± 9.27\", \"bbox\": [222, 111, 265, 121]}, {\"cell\": \"47.76 ± 9.79\", \"bbox\": [282, 111, 325, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 111, 386, 121]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 111, 427, 121]}, {\"cell\": \" Mental component summary (MCS)\", \"bbox\": [13, 120, 137, 130]}, {\"cell\": \"54.38 ± 9.92\", \"bbox\": [160, 120, 202, 130]}, {\"cell\": \"56.12 ± 8.40\", \"bbox\": [222, 120, 265, 130]}, {\"cell\": \"52.77 ± 10.90\", \"bbox\": [280, 120, 327, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 120, 386, 130]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 120, 427, 130]}, {\"cell\": \"WHOQOL-OLD\", \"bbox\": [6, 134, 63, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Sensory abilities (SAB)\", \"bbox\": [13, 143, 92, 153]}, {\"cell\": \"74.74 ± 22.30\", \"bbox\": [158, 143, 204, 153]}, {\"cell\": \"77.72 ± 20.55\", \"bbox\": [221, 143, 267, 153]}, {\"cell\": \"72.17 ± 22.99\", \"bbox\": [280, 143, 327, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 143, 386, 153]}, {\"cell\": \"0.0002\", \"bbox\": [402, 143, 425, 153]}, {\"cell\": \" Autonomy (AUT)\", \"bbox\": [13, 153, 75, 162]}, {\"cell\": \"71.23 ± 19.93\", \"bbox\": [158, 153, 204, 162]}, {\"cell\": \"73.99 ± 20.32\", \"bbox\": [221, 153, 267, 162]}, {\"cell\": \"70.10 ± 18.55\", \"bbox\": [280, 153, 327, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 153, 386, 162]}, {\"cell\": \"0.0001\", \"bbox\": [402, 153, 425, 162]}, {\"cell\": \" Past, present and future activities (PPF) \", \"bbox\": [13, 162, 146, 172]}, {\"cell\": \"72.10 ± 14.94\", \"bbox\": [158, 162, 204, 172]}, {\"cell\": \"71.83 ± 14.99\", \"bbox\": [221, 162, 267, 172]}, {\"cell\": \"74.52 ± 14.10\", \"bbox\": [280, 162, 327, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 162, 386, 172]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 162, 427, 172]}, {\"cell\": \" Social participation (SOP)\", \"bbox\": [13, 171, 102, 181]}, {\"cell\": \"68.29 ± 16.45\", \"bbox\": [158, 171, 204, 181]}, {\"cell\": \"66.90 ± 16.20\", \"bbox\": [221, 171, 267, 181]}, {\"cell\": \"70.58 ± 15.51\", \"bbox\": [280, 171, 327, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 171, 386, 181]}, {\"cell\": \"0.0001\", \"bbox\": [402, 171, 425, 181]}, {\"cell\": \" Death and dying (DAD)\", \"bbox\": [13, 181, 97, 190]}, {\"cell\": \"88.31 ± 18.32\", \"bbox\": [158, 181, 204, 190]}, {\"cell\": \"87.00 ± 18.85\", \"bbox\": [221, 181, 267, 190]}, {\"cell\": \"89.45 ± 18.36\", \"bbox\": [280, 181, 327, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 181, 386, 190]}, {\"cell\": \"0.0831\", \"bbox\": [402, 181, 425, 190]}, {\"cell\": \" Intimacy (INT)\", \"bbox\": [13, 190, 66, 200]}, {\"cell\": \"63.42 ± 23.99\", \"bbox\": [158, 190, 204, 200]}, {\"cell\": \"68.23 ± 22.01\", \"bbox\": [221, 190, 267, 200]}, {\"cell\": \"60.90 ± 25.24\", \"bbox\": [280, 190, 327, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 190, 386, 200]}, {\"cell\": \"<0.0001\", \"bbox\": [400, 190, 427, 200]}, {\"cell\": \" WHOQOL-OLD total\", \"bbox\": [13, 199, 88, 209]}, {\"cell\": \"73.01 ± 11.99\", \"bbox\": [158, 199, 204, 209]}, {\"cell\": \"74.28 ± 12.08\", \"bbox\": [221, 199, 267, 209]}, {\"cell\": \"72.95 ± 11.46\", \"bbox\": [280, 199, 327, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 199, 386, 209]}, {\"cell\": \"0.0002\", \"bbox\": [402, 199, 425, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5858325_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}312{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variables</b></td><td><b>Total</b></td><td><b>OPD</b></td><td><b>Ward</b></td><td rowspan=\\\"2\\\"><b><i>p</i> value</b></td></tr><tr><td><b><i>n</i> = 621 (%)</b></td><td><b><i>n</i> = 305 (%)</b></td><td><b><i>n</i> = 316 (%)</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Body temperature considered to give antipyretics (°C)</td></tr><tr><td> ≥ 37</td><td>[EMPTY_CELL]</td><td>20 (6.6)</td><td>9 (2.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥ 38</td><td>[EMPTY_CELL]</td><td>123 (40.3)</td><td>125 (39.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥ 38.5</td><td>[EMPTY_CELL]</td><td>137 (44.9)</td><td>149 (47.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥ 39</td><td>[EMPTY_CELL]</td><td>22 (7.2)</td><td>33 (10.4)</td><td>[EMPTY_CELL]</td></tr><tr><td> Unknown</td><td>[EMPTY_CELL]</td><td>3 (1.0)</td><td>0 (0.0)</td><td>0.046</td></tr><tr><td colspan=\\\"5\\\">Antipyretics used</td></tr><tr><td> Ibuprofen</td><td>[EMPTY_CELL]</td><td>246 (80.7)</td><td>247 (78.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> Acetaminophen</td><td>[EMPTY_CELL]</td><td>29 (9.5)</td><td>30 (9.5)</td><td>[EMPTY_CELL]</td></tr><tr><td> Ibuprofen &Acetaminophen</td><td>[EMPTY_CELL]</td><td>12 (3.9)</td><td>15 (4.7)</td><td>[EMPTY_CELL]</td></tr><tr><td> Aspirin</td><td>[EMPTY_CELL]</td><td>0 (0.0)</td><td>2 (0.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Banlangen<sup>a</sup></td><td>[EMPTY_CELL]</td><td>0 (0.0)</td><td>1 (0.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Qingkailingkeli<sup>b</sup></td><td>[EMPTY_CELL]</td><td>1 (0.2)</td><td>2 (0.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Chaihukoufuye<sup>c</sup></td><td>[EMPTY_CELL]</td><td>1 (0.2)</td><td>1 (0.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Compound Xinbu Granules<sup>d</sup></td><td>[EMPTY_CELL]</td><td>1 (0.2)</td><td>2 (0.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Niuhuangsuankeli<sup>e</sup></td><td>[EMPTY_CELL]</td><td>1 (0.2)</td><td>2 (0.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Xiaoerqingrejiekeli<sup>f</sup></td><td>[EMPTY_CELL]</td><td>1 (0.2)</td><td>2 (0.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Unknown</td><td>[EMPTY_CELL]</td><td>13 (4.3)</td><td>12 (3.8)</td><td>0.634</td></tr><tr><td colspan=\\\"5\\\">Giving antipyretics during sleep</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>192 (63.0)</td><td>230 (72.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>113 (37.0)</td><td>86 (27.2)</td><td>0.009</td></tr><tr><td colspan=\\\"5\\\">Where to get antipyretics</td></tr><tr><td> Drugstore</td><td>[EMPTY_CELL]</td><td>89 (29.2)</td><td>121 (38.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Hospital</td><td>[EMPTY_CELL]</td><td>203 (66.6)</td><td>178 (56.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Drugstore & Hospital</td><td>[EMPTY_CELL]</td><td>13 (4.3)</td><td>17 (5.4)</td><td>0.032</td></tr><tr><td colspan=\\\"5\\\">The method of physical cooling</td></tr><tr><td> Tepid sponging</td><td>[EMPTY_CELL]</td><td>136 (44.6)</td><td>151 (47.8)</td><td>0.469</td></tr><tr><td> Cold sponging</td><td>[EMPTY_CELL]</td><td>15 (4.9)</td><td>2 (0.6)</td><td>0.001</td></tr><tr><td> Cold toweling</td><td>[EMPTY_CELL]</td><td>75 (24.6)</td><td>108 (34.2)</td><td>0.01</td></tr><tr><td> Alcohol sponging</td><td>[EMPTY_CELL]</td><td>58 (19.0)</td><td>63 (19.9)</td><td>0.803</td></tr><tr><td> Fever cooling patch</td><td>[EMPTY_CELL]</td><td>27 (8.9)</td><td>38 (12.0)</td><td>0.197</td></tr><tr><td> Unknown/No</td><td>[EMPTY_CELL]</td><td>26 (8.5)</td><td>21 (6.6)</td><td>0.376</td></tr><tr><td> Wine</td><td>[EMPTY_CELL]</td><td>0 (0.0)</td><td>2 (0.6)</td><td>0.499</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [162, 4, 180, 13]}, {\"cell\": \"<b>OPD</b>\", \"bbox\": [260, 4, 277, 13]}, {\"cell\": \"<b>Ward</b>\", \"bbox\": [359, 4, 378, 13]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [457, 4, 483, 13]}, {\"cell\": \"<b><i>n</i> = 621 (%)</b>\", \"bbox\": [162, 17, 200, 27]}, {\"cell\": \"<b><i>n</i> = 305 (%)</b>\", \"bbox\": [260, 17, 298, 27]}, {\"cell\": \"<b><i>n</i> = 316 (%)</b>\", \"bbox\": [359, 17, 397, 27]}, {\"cell\": \"Body temperature considered to give antipyretics (°C)\", \"bbox\": [1, 30, 175, 40]}, {\"cell\": \" ≥ 37\", \"bbox\": [8, 44, 25, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 44, 193, 54]}, {\"cell\": \"20 (6.6)\", \"bbox\": [267, 44, 292, 54]}, {\"cell\": \"9 (2.8)\", \"bbox\": [369, 44, 390, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥ 38\", \"bbox\": [8, 58, 25, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 58, 197, 68]}, {\"cell\": \"123 (40.3)\", \"bbox\": [263, 58, 296, 68]}, {\"cell\": \"125 (39.6)\", \"bbox\": [361, 58, 394, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥ 38.5\", \"bbox\": [8, 72, 30, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 72, 197, 82]}, {\"cell\": \"137 (44.9)\", \"bbox\": [263, 72, 296, 82]}, {\"cell\": \"149 (47.2)\", \"bbox\": [361, 72, 394, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥ 39\", \"bbox\": [8, 86, 25, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 86, 193, 96]}, {\"cell\": \"22 (7.2)\", \"bbox\": [267, 86, 292, 96]}, {\"cell\": \"33 (10.4)\", \"bbox\": [365, 86, 394, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Unknown\", \"bbox\": [8, 100, 41, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 100, 193, 110]}, {\"cell\": \"3 (1.0)\", \"bbox\": [271, 100, 292, 110]}, {\"cell\": \"0 (0.0)\", \"bbox\": [369, 100, 390, 110]}, {\"cell\": \"0.046\", \"bbox\": [462, 100, 480, 110]}, {\"cell\": \"Antipyretics used\", \"bbox\": [1, 114, 58, 124]}, {\"cell\": \" Ibuprofen\", \"bbox\": [8, 128, 42, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 128, 197, 138]}, {\"cell\": \"246 (80.7)\", \"bbox\": [263, 128, 296, 138]}, {\"cell\": \"247 (78.2)\", \"bbox\": [361, 128, 394, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Acetaminophen\", \"bbox\": [8, 142, 62, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 142, 193, 152]}, {\"cell\": \"29 (9.5)\", \"bbox\": [267, 142, 292, 152]}, {\"cell\": \"30 (9.5)\", \"bbox\": [365, 142, 390, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Ibuprofen &Acetaminophen\", \"bbox\": [8, 156, 100, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 156, 193, 166]}, {\"cell\": \"12 (3.9)\", \"bbox\": [267, 156, 292, 166]}, {\"cell\": \"15 (4.7)\", \"bbox\": [365, 156, 390, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Aspirin\", \"bbox\": [8, 170, 32, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 170, 193, 180]}, {\"cell\": \"0 (0.0)\", \"bbox\": [271, 170, 292, 180]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 170, 390, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Banlangen<sup>a</sup>\", \"bbox\": [8, 183, 47, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 184, 193, 194]}, {\"cell\": \"0 (0.0)\", \"bbox\": [271, 184, 292, 194]}, {\"cell\": \"1 (0.3)\", \"bbox\": [369, 184, 390, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Qingkailingkeli<sup>b</sup>\", \"bbox\": [8, 197, 60, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 198, 193, 208]}, {\"cell\": \"1 (0.2)\", \"bbox\": [271, 198, 292, 208]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 198, 390, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Chaihukoufuye<sup>c</sup>\", \"bbox\": [8, 211, 61, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 212, 193, 222]}, {\"cell\": \"1 (0.2)\", \"bbox\": [271, 212, 292, 222]}, {\"cell\": \"1 (0.3)\", \"bbox\": [369, 212, 390, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Compound Xinbu Granules<sup>d</sup>\", \"bbox\": [8, 225, 101, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 226, 193, 236]}, {\"cell\": \"1 (0.2)\", \"bbox\": [271, 226, 292, 236]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 226, 390, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Niuhuangsuankeli<sup>e</sup>\", \"bbox\": [8, 239, 70, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 240, 193, 250]}, {\"cell\": \"1 (0.2)\", \"bbox\": [271, 240, 292, 250]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 240, 390, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Xiaoerqingrejiekeli<sup>f</sup>\", \"bbox\": [8, 253, 70, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 254, 193, 264]}, {\"cell\": \"1 (0.2)\", \"bbox\": [271, 254, 292, 264]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 254, 390, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Unknown\", \"bbox\": [8, 268, 41, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 268, 193, 278]}, {\"cell\": \"13 (4.3)\", \"bbox\": [267, 268, 292, 278]}, {\"cell\": \"12 (3.8)\", \"bbox\": [365, 268, 390, 278]}, {\"cell\": \"0.634\", \"bbox\": [462, 268, 480, 278]}, {\"cell\": \"Giving antipyretics during sleep\", \"bbox\": [1, 282, 104, 292]}, {\"cell\": \" Yes\", \"bbox\": [8, 296, 21, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 296, 197, 306]}, {\"cell\": \"192 (63.0)\", \"bbox\": [263, 296, 296, 306]}, {\"cell\": \"230 (72.8)\", \"bbox\": [361, 296, 394, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 310, 20, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 310, 197, 320]}, {\"cell\": \"113 (37.0)\", \"bbox\": [263, 310, 296, 320]}, {\"cell\": \"86 (27.2)\", \"bbox\": [365, 310, 394, 320]}, {\"cell\": \"0.009\", \"bbox\": [462, 310, 480, 320]}, {\"cell\": \"Where to get antipyretics\", \"bbox\": [1, 324, 84, 334]}, {\"cell\": \" Drugstore\", \"bbox\": [8, 338, 42, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 338, 197, 348]}, {\"cell\": \"89 (29.2)\", \"bbox\": [267, 338, 296, 348]}, {\"cell\": \"121 (38.3)\", \"bbox\": [361, 338, 394, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hospital\", \"bbox\": [8, 352, 36, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 352, 197, 362]}, {\"cell\": \"203 (66.6)\", \"bbox\": [263, 352, 296, 362]}, {\"cell\": \"178 (56.3)\", \"bbox\": [361, 352, 394, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Drugstore & Hospital\", \"bbox\": [8, 366, 77, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 366, 193, 376]}, {\"cell\": \"13 (4.3)\", \"bbox\": [267, 366, 292, 376]}, {\"cell\": \"17 (5.4)\", \"bbox\": [365, 366, 390, 376]}, {\"cell\": \"0.032\", \"bbox\": [462, 366, 480, 376]}, {\"cell\": \"The method of physical cooling\", \"bbox\": [1, 380, 105, 390]}, {\"cell\": \" Tepid sponging\", \"bbox\": [8, 394, 61, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 394, 197, 404]}, {\"cell\": \"136 (44.6)\", \"bbox\": [263, 394, 296, 404]}, {\"cell\": \"151 (47.8)\", \"bbox\": [361, 394, 394, 404]}, {\"cell\": \"0.469\", \"bbox\": [462, 394, 480, 404]}, {\"cell\": \" Cold sponging\", \"bbox\": [8, 408, 58, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 408, 193, 418]}, {\"cell\": \"15 (4.9)\", \"bbox\": [267, 408, 292, 418]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 408, 390, 418]}, {\"cell\": \"0.001\", \"bbox\": [462, 408, 480, 418]}, {\"cell\": \" Cold toweling\", \"bbox\": [8, 422, 56, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 422, 197, 432]}, {\"cell\": \"75 (24.6)\", \"bbox\": [267, 422, 296, 432]}, {\"cell\": \"108 (34.2)\", \"bbox\": [361, 422, 394, 432]}, {\"cell\": \"0.01\", \"bbox\": [462, 422, 476, 432]}, {\"cell\": \" Alcohol sponging\", \"bbox\": [8, 436, 67, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 436, 197, 446]}, {\"cell\": \"58 (19.0)\", \"bbox\": [267, 436, 296, 446]}, {\"cell\": \"63 (19.9)\", \"bbox\": [365, 436, 394, 446]}, {\"cell\": \"0.803\", \"bbox\": [462, 436, 480, 446]}, {\"cell\": \" Fever cooling patch\", \"bbox\": [8, 450, 74, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 450, 197, 460]}, {\"cell\": \"27 (8.9)\", \"bbox\": [267, 450, 292, 460]}, {\"cell\": \"38 (12.0)\", \"bbox\": [365, 450, 394, 460]}, {\"cell\": \"0.197\", \"bbox\": [462, 450, 480, 460]}, {\"cell\": \" Unknown/No\", \"bbox\": [8, 464, 54, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 464, 193, 474]}, {\"cell\": \"26 (8.5)\", \"bbox\": [267, 464, 292, 474]}, {\"cell\": \"21 (6.6)\", \"bbox\": [365, 464, 390, 474]}, {\"cell\": \"0.376\", \"bbox\": [462, 464, 480, 474]}, {\"cell\": \" Wine\", \"bbox\": [8, 478, 27, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 478, 193, 488]}, {\"cell\": \"0 (0.0)\", \"bbox\": [271, 478, 292, 488]}, {\"cell\": \"2 (0.6)\", \"bbox\": [369, 478, 390, 488]}, {\"cell\": \"0.499\", \"bbox\": [462, 478, 480, 488]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4612412_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}313{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>IPS practice principle</b></td><td><b>Description</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Competitive employment is the goal</td><td>Work in the competitive job market alongside with others without psychiatric disabilities is aimed for</td></tr><tr><td>[EMPTY_CELL]</td><td>IPS supported employment is integrated with treatment</td><td>Thus, an exchange of information between job coach and therapist concerning work, side effects, etc. is provided</td></tr><tr><td>[EMPTY_CELL]</td><td>Zero exclusion: eligibility is based on client choice</td><td>Regardless of symptoms or other obstacles, every person with severe mental illness who wants to work is eligible for IPS</td></tr><tr><td>[EMPTY_CELL]</td><td>Attention to client preferences</td><td>The client decides on which job to search and whether to disclose his disorder</td></tr><tr><td>[EMPTY_CELL]</td><td>Benefits counseling is important</td><td>The job coach provides guidance concerning government entitlements, such as social securities for the client</td></tr><tr><td>[EMPTY_CELL]</td><td>Rapid job search</td><td>No pre-employment assessment or training is done; a job is searched for right away</td></tr><tr><td>[EMPTY_CELL]</td><td>Systematic job development</td><td>Relationships between job coaches and employers are developed, networking is important</td></tr><tr><td>[EMPTY_CELL]</td><td>Time unlimited support</td><td>Follow-along support is continued individually as long as the client needs it</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>IPS practice principle</b>\", \"bbox\": [0, 6, 74, 15]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [94, 6, 134, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 23, 6, 32]}, {\"cell\": \"Competitive employment is the goal\", \"bbox\": [9, 23, 86, 41]}, {\"cell\": \"Work in the competitive job market alongside with others without psychiatric disabilities is aimed for\", \"bbox\": [94, 23, 245, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 45, 6, 54]}, {\"cell\": \"IPS supported employment is integrated with treatment\", \"bbox\": [9, 45, 86, 73]}, {\"cell\": \"Thus, an exchange of information between job coach and therapist concerning work, side effects, etc. is provided\", \"bbox\": [94, 45, 235, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 77, 6, 85]}, {\"cell\": \"Zero exclusion: eligibility is based on client choice\", \"bbox\": [9, 77, 85, 95]}, {\"cell\": \"Regardless of symptoms or other obstacles, every person with severe mental illness who wants to work is eligible for IPS\", \"bbox\": [94, 77, 246, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 108, 6, 117]}, {\"cell\": \"Attention to client preferences\", \"bbox\": [9, 108, 63, 126]}, {\"cell\": \"The client decides on which job to search and whether to disclose his disorder\", \"bbox\": [94, 108, 234, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 130, 6, 139]}, {\"cell\": \"Benefits counseling is important\", \"bbox\": [9, 130, 76, 148]}, {\"cell\": \"The job coach provides guidance concerning government entitlements, such as social securities for the client\", \"bbox\": [94, 130, 246, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 162, 6, 170]}, {\"cell\": \"Rapid job search\", \"bbox\": [9, 162, 61, 170]}, {\"cell\": \"No pre-employment assessment or training is done; a job is searched for right away\", \"bbox\": [94, 162, 232, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 184, 6, 192]}, {\"cell\": \"Systematic job development\", \"bbox\": [9, 184, 55, 202]}, {\"cell\": \"Relationships between job coaches and employers are developed, networking is important\", \"bbox\": [94, 184, 246, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 206, 6, 214]}, {\"cell\": \"Time unlimited support\", \"bbox\": [9, 206, 80, 214]}, {\"cell\": \"Follow-along support is continued individually as long as the client needs it\", \"bbox\": [94, 206, 241, 224]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5029174_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}314{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Patient ID</b></td><td><b>Onset, diagnosis (Age)</b></td><td><b>ERT start (Age)</b></td><td><b>Biopsy site; time on ERT</b></td><td><b>Pathology/% fibers with lipofuscin inclusions</b></td><td><b>Clinical status (Current age)</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">D3*</td><td>5 mo</td><td rowspan=\\\"2\\\">1 y, 4 mo</td><td rowspan=\\\"2\\\">VL<sup>†</sup>; 3 y, 10 mo</td><td rowspan=\\\"2\\\">Mild-to-moderate lysosomal expansion in most fibers; autophagic accumulation with inclusions in ~88% of fibers</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>1 y, 3 mo</td></tr><tr><td>CLINM</td><td>13 y<sup>¶</sup></td><td>13.6 y</td><td>Quad; 8 mo</td><td>Normal biopsy</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>13.5 y</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">HM1</td><td>4 mo<sup>‡</sup></td><td rowspan=\\\"2\\\">3 y</td><td rowspan=\\\"2\\\">Quad; 6 y</td><td rowspan=\\\"2\\\">Prominent lysosomal expansion in ~30% of fibers; atrophy; autophagic accumulation with Inclusions in ~77% of fibers; ~15% of fibers are completely destroyed</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>4 mo</td></tr><tr><td rowspan=\\\"2\\\">HM3</td><td>7 mo<sup>‡</sup></td><td rowspan=\\\"2\\\">10 y</td><td rowspan=\\\"2\\\">Quad; 6 y</td><td rowspan=\\\"2\\\">Most fibers completely destroyed; extensive damage obscures underlying pathology</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>7 mo</td></tr><tr><td rowspan=\\\"2\\\">HM5</td><td>5 y</td><td rowspan=\\\"2\\\">6.5 y</td><td rowspan=\\\"2\\\">Quad; 7 y</td><td rowspan=\\\"2\\\">~ 80% of fibers completely destroyed, autophagic accumulation with inclusions in the remaining fibers</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>~5 y</td></tr><tr><td>NBSL9a<sup>§</sup></td><td>6.5 y</td><td>7 y</td><td>Quad; baseline</td><td>Mild-to-moderate lysosomal expansion; inclusions in almost every fiber</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>6.5 y</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Patient ID</b>\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"<b>Onset, diagnosis (Age)</b>\", \"bbox\": [49, 4, 108, 22]}, {\"cell\": \"<b>ERT start (Age)</b>\", \"bbox\": [120, 4, 153, 22]}, {\"cell\": \"<b>Biopsy site; time on ERT</b>\", \"bbox\": [169, 4, 213, 22]}, {\"cell\": \"<b>Pathology/% fibers with lipofuscin inclusions</b>\", \"bbox\": [228, 4, 350, 22]}, {\"cell\": \"<b>Clinical status (Current age)</b>\", \"bbox\": [374, 4, 472, 13]}, {\"cell\": \"D3*\", \"bbox\": [0, 26, 15, 36]}, {\"cell\": \"5 mo\", \"bbox\": [69, 26, 88, 36]}, {\"cell\": \"1 y, 4 mo\", \"bbox\": [121, 26, 153, 36]}, {\"cell\": \"VL<sup>†</sup>; 3 y, 10 mo\", \"bbox\": [165, 25, 216, 36]}, {\"cell\": \"Mild-to-moderate lysosomal expansion in most fibers; autophagic accumulation with inclusions in ~88% of fibers\", \"bbox\": [229, 26, 349, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 26, 482, 63]}, {\"cell\": \"1 y, 3 mo\", \"bbox\": [62, 40, 95, 50]}, {\"cell\": \"CLINM\", \"bbox\": [1, 67, 23, 77]}, {\"cell\": \"13 y<sup>¶</sup>\", \"bbox\": [69, 65, 88, 77]}, {\"cell\": \"13.6 y\", \"bbox\": [127, 67, 147, 77]}, {\"cell\": \"Quad; 8 mo\", \"bbox\": [171, 67, 211, 77]}, {\"cell\": \"Normal biopsy\", \"bbox\": [265, 67, 314, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 67, 477, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13.5 y\", \"bbox\": [68, 99, 89, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HM1\", \"bbox\": [1, 113, 17, 123]}, {\"cell\": \"4 mo<sup>‡</sup>\", \"bbox\": [68, 112, 90, 123]}, {\"cell\": \"3 y\", \"bbox\": [131, 113, 143, 123]}, {\"cell\": \"Quad; 6 y\", \"bbox\": [174, 113, 207, 123]}, {\"cell\": \"Prominent lysosomal expansion in ~30% of fibers; atrophy; autophagic accumulation with Inclusions in ~77% of fibers; ~15% of fibers are completely destroyed\", \"bbox\": [229, 113, 350, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 113, 484, 168]}, {\"cell\": \"4 mo\", \"bbox\": [69, 127, 88, 137]}, {\"cell\": \"HM3\", \"bbox\": [1, 172, 17, 182]}, {\"cell\": \"7 mo<sup>‡</sup>\", \"bbox\": [68, 171, 90, 182]}, {\"cell\": \"10 y\", \"bbox\": [129, 172, 145, 182]}, {\"cell\": \"Quad; 6 y\", \"bbox\": [174, 172, 207, 182]}, {\"cell\": \"Most fibers completely destroyed; extensive damage obscures underlying pathology\", \"bbox\": [234, 172, 344, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 172, 478, 227]}, {\"cell\": \"7 mo\", \"bbox\": [69, 186, 88, 196]}, {\"cell\": \"HM5\", \"bbox\": [1, 231, 17, 241]}, {\"cell\": \"5 y\", \"bbox\": [73, 231, 85, 241]}, {\"cell\": \"6.5 y\", \"bbox\": [128, 231, 145, 241]}, {\"cell\": \"Quad; 7 y\", \"bbox\": [174, 231, 207, 241]}, {\"cell\": \"~ 80% of fibers completely destroyed, autophagic accumulation with inclusions in the remaining fibers\", \"bbox\": [230, 231, 349, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 231, 477, 268]}, {\"cell\": \"~5 y\", \"bbox\": [70, 245, 87, 255]}, {\"cell\": \"NBSL9a<sup>§</sup>\", \"bbox\": [1, 270, 29, 282]}, {\"cell\": \"6.5 y\", \"bbox\": [70, 272, 87, 282]}, {\"cell\": \"7 y\", \"bbox\": [131, 272, 143, 282]}, {\"cell\": \"Quad; baseline\", \"bbox\": [166, 272, 215, 282]}, {\"cell\": \"Mild-to-moderate lysosomal expansion; inclusions in almost every fiber\", \"bbox\": [229, 272, 349, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 272, 462, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6.5 y\", \"bbox\": [70, 304, 87, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3892035_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}315{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Placental tissue</b></td><td><b>Normal pregnant women (<i>n</i> = 32) group 1</b></td><td><b>Preeclamptic pregnant women without IUGR (<i>n</i> = 21) group 2</b></td><td><b>Preeclamptic pregnant women with IUGR (<i>n</i> = 9) group 3 </b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Mean ± SD</td></tr><tr><td>OxLDL, <i>μ</i>Mol/mL/g tissue</td><td>[EMPTY_CELL]</td><td> 5.88 ± 4.41</td><td> 8.09 ± 4.26</td><td>0.058</td></tr><tr><td>Estriol, ng/mL/g tissue</td><td>[EMPTY_CELL]</td><td> 43.5 ± 24.6*</td><td> 38.4 ± 20.6*</td><td><b>0.001</b></td></tr><tr><td colspan=\\\"5\\\">Median (min-max)</td></tr><tr><td>Estradiol,pg/mL/g tissue</td><td>[EMPTY_CELL]</td><td>8.2 (5.6–37.2)*</td><td>11.4 (5.3–61.3)</td><td><b>0.007 </b></td></tr><tr><td>Progesterone, ng/mL/g tissue</td><td>[EMPTY_CELL]</td><td>0.08 (0.06–0.45)*</td><td>0.11 (0.05–0.97)</td><td><b>0.007</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Placental tissue</b>\", \"bbox\": [2, 14, 59, 25]}, {\"cell\": \"<b>Normal pregnant women (<i>n</i> = 32) group 1</b>\", \"bbox\": [113, 4, 177, 35]}, {\"cell\": \"<b>Preeclamptic pregnant women without IUGR (<i>n</i> = 21) group 2</b>\", \"bbox\": [219, 4, 301, 37]}, {\"cell\": \"<b>Preeclamptic pregnant women with IUGR (<i>n</i> = 9) group 3 </b>\", \"bbox\": [339, 4, 421, 37]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [463, 11, 492, 27]}, {\"cell\": \"Mean ± SD\", \"bbox\": [229, 34, 272, 50]}, {\"cell\": \"OxLDL, <i>μ</i>Mol/mL/g tissue\", \"bbox\": [2, 51, 69, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 53, 165, 68]}, {\"cell\": \" 5.88 ± 4.41\", \"bbox\": [240, 47, 280, 63]}, {\"cell\": \" 8.09 ± 4.26\", \"bbox\": [359, 53, 401, 68]}, {\"cell\": \"0.058\", \"bbox\": [467, 56, 488, 66]}, {\"cell\": \"Estriol, ng/mL/g tissue\", \"bbox\": [2, 73, 64, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 75, 164, 91]}, {\"cell\": \" 43.5 ± 24.6*\", \"bbox\": [238, 75, 282, 91]}, {\"cell\": \" 38.4 ± 20.6*\", \"bbox\": [357, 75, 402, 91]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [467, 79, 489, 87]}, {\"cell\": \"Median (min-max)\", \"bbox\": [215, 97, 286, 107]}, {\"cell\": \"Estradiol,pg/mL/g tissue\", \"bbox\": [2, 110, 58, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 115, 172, 125]}, {\"cell\": \"8.2 (5.6–37.2)*\", \"bbox\": [233, 111, 286, 125]}, {\"cell\": \"11.4 (5.3–61.3)\", \"bbox\": [355, 115, 406, 125]}, {\"cell\": \"<b>0.007 </b>\", \"bbox\": [466, 115, 489, 123]}, {\"cell\": \"Progesterone, ng/mL/g tissue\", \"bbox\": [2, 132, 58, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 132, 174, 143]}, {\"cell\": \"0.08 (0.06–0.45)*\", \"bbox\": [228, 134, 292, 148]}, {\"cell\": \"0.11 (0.05–0.97)\", \"bbox\": [351, 132, 409, 143]}, {\"cell\": \"<b>0.007</b>\", \"bbox\": [466, 138, 489, 146]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3625559_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}316{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Item</b></td><td><b>Baseline</b></td><td><b>Week 2</b></td><td><b>Week 4</b></td><td><b>Week 8</b></td><td><b>P (2,0)</b></td><td><b>P (4,0)</b></td><td><b>P (8.0)</b></td></tr></thead><tbody><tr><td>Pain severity</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>With tenderness</td><td>7.60 ± 1.14</td><td>3.60 ± 1.14</td><td>5.00 ± 0.71</td><td>5.60 ± 1.14</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr><tr><td>Without tenderness</td><td>7.21 ± 1.03</td><td>3.47 ± 1.43</td><td>4.63 ± 1.38</td><td>5.21 ± 1.03</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr><tr><td>p-value</td><td>0.515</td><td>0.840</td><td>0.425</td><td>0.515</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr><tr><td>Pain frequency</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr><tr><td>With tenderness</td><td>14.40 ± 1.34</td><td>7.40 ± 2.41</td><td>9.00 ± 2.12</td><td>1.00 ± 1.58</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr><tr><td>Without tenderness</td><td>11.58 ± 3.73</td><td>6.26 ± 1.63</td><td>7.21 ± 1.96</td><td>9.47 ± 3.70</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr><tr><td>p-value</td><td>0.067</td><td>0.364</td><td>0.140</td><td>0.242</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr><tr><td>Drug use</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr><tr><td>With tenderness</td><td>14.60 ± 1.34</td><td>7.00 ± 1.22</td><td>9.00 ± 1.22</td><td>12.60 ± 1.34</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr><tr><td>Without tenderness</td><td>12.21 ± 3.10</td><td>6.05 ± 1.93</td><td>7.47 ± 2.34</td><td>10.21 ± 3.10</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr><tr><td>p-value</td><td>0.111</td><td>0.208</td><td>0.069</td><td>0.111</td><td>[EMPTY_CELL]</td><td>< 0.001</td><td>< 0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Item</b>\", \"bbox\": [1, 4, 19, 14]}, {\"cell\": \"<b>Baseline</b>\", \"bbox\": [112, 4, 145, 14]}, {\"cell\": \"<b>Week 2</b>\", \"bbox\": [169, 4, 198, 14]}, {\"cell\": \"<b>Week 4</b>\", \"bbox\": [226, 4, 255, 14]}, {\"cell\": \"<b>Week 8</b>\", \"bbox\": [282, 4, 311, 14]}, {\"cell\": \"<b>P (2,0)</b>\", \"bbox\": [339, 4, 365, 14]}, {\"cell\": \"<b>P (4,0)</b>\", \"bbox\": [382, 4, 408, 14]}, {\"cell\": \"<b>P (8.0)</b>\", \"bbox\": [424, 4, 450, 14]}, {\"cell\": \"Pain severity\", \"bbox\": [1, 20, 49, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"With tenderness\", \"bbox\": [22, 36, 82, 46]}, {\"cell\": \"7.60 ± 1.14\", \"bbox\": [112, 36, 155, 46]}, {\"cell\": \"3.60 ± 1.14\", \"bbox\": [169, 36, 212, 46]}, {\"cell\": \"5.00 ± 0.71\", \"bbox\": [226, 36, 269, 46]}, {\"cell\": \"5.60 ± 1.14\", \"bbox\": [282, 36, 325, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 36, 369, 46]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 36, 411, 46]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 36, 454, 46]}, {\"cell\": \"Without tenderness\", \"bbox\": [22, 52, 93, 62]}, {\"cell\": \"7.21 ± 1.03\", \"bbox\": [112, 52, 155, 62]}, {\"cell\": \"3.47 ± 1.43\", \"bbox\": [169, 52, 212, 62]}, {\"cell\": \"4.63 ± 1.38\", \"bbox\": [226, 52, 269, 62]}, {\"cell\": \"5.21 ± 1.03\", \"bbox\": [282, 52, 325, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 52, 369, 62]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 52, 411, 62]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 52, 454, 62]}, {\"cell\": \"p-value\", \"bbox\": [22, 67, 51, 77]}, {\"cell\": \"0.515\", \"bbox\": [112, 67, 134, 77]}, {\"cell\": \"0.840\", \"bbox\": [169, 67, 191, 77]}, {\"cell\": \"0.425\", \"bbox\": [226, 67, 248, 77]}, {\"cell\": \"0.515\", \"bbox\": [282, 67, 305, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 67, 369, 77]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 67, 411, 77]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 67, 454, 77]}, {\"cell\": \"Pain frequency\", \"bbox\": [0, 83, 57, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 83, 369, 93]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 83, 411, 93]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 83, 454, 93]}, {\"cell\": \"With tenderness\", \"bbox\": [22, 98, 82, 109]}, {\"cell\": \"14.40 ± 1.34\", \"bbox\": [112, 98, 159, 109]}, {\"cell\": \"7.40 ± 2.41\", \"bbox\": [169, 98, 212, 109]}, {\"cell\": \"9.00 ± 2.12\", \"bbox\": [226, 98, 269, 109]}, {\"cell\": \"1.00 ± 1.58\", \"bbox\": [282, 98, 325, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 98, 369, 109]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 98, 411, 109]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 98, 454, 109]}, {\"cell\": \"Without tenderness\", \"bbox\": [22, 114, 93, 124]}, {\"cell\": \"11.58 ± 3.73\", \"bbox\": [112, 114, 159, 124]}, {\"cell\": \"6.26 ± 1.63\", \"bbox\": [169, 114, 212, 124]}, {\"cell\": \"7.21 ± 1.96\", \"bbox\": [226, 114, 269, 124]}, {\"cell\": \"9.47 ± 3.70\", \"bbox\": [282, 114, 325, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 114, 369, 124]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 114, 411, 124]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 114, 454, 124]}, {\"cell\": \"p-value\", \"bbox\": [22, 130, 51, 140]}, {\"cell\": \"0.067\", \"bbox\": [112, 130, 134, 140]}, {\"cell\": \"0.364\", \"bbox\": [169, 130, 191, 140]}, {\"cell\": \"0.140\", \"bbox\": [226, 130, 248, 140]}, {\"cell\": \"0.242\", \"bbox\": [282, 130, 305, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 130, 369, 140]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 130, 411, 140]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 130, 454, 140]}, {\"cell\": \"Drug use\", \"bbox\": [0, 145, 35, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 145, 369, 155]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 145, 411, 155]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 145, 454, 155]}, {\"cell\": \"With tenderness\", \"bbox\": [22, 161, 82, 171]}, {\"cell\": \"14.60 ± 1.34\", \"bbox\": [112, 161, 159, 171]}, {\"cell\": \"7.00 ± 1.22\", \"bbox\": [169, 161, 212, 171]}, {\"cell\": \"9.00 ± 1.22\", \"bbox\": [226, 161, 269, 171]}, {\"cell\": \"12.60 ± 1.34\", \"bbox\": [282, 161, 330, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 161, 369, 171]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 161, 411, 171]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 161, 454, 171]}, {\"cell\": \"Without tenderness\", \"bbox\": [22, 176, 93, 187]}, {\"cell\": \"12.21 ± 3.10\", \"bbox\": [112, 176, 159, 187]}, {\"cell\": \"6.05 ± 1.93\", \"bbox\": [169, 176, 212, 187]}, {\"cell\": \"7.47 ± 2.34\", \"bbox\": [226, 176, 269, 187]}, {\"cell\": \"10.21 ± 3.10\", \"bbox\": [282, 176, 330, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 176, 369, 187]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 176, 411, 187]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 176, 454, 187]}, {\"cell\": \"p-value\", \"bbox\": [22, 192, 51, 202]}, {\"cell\": \"0.111\", \"bbox\": [112, 192, 133, 202]}, {\"cell\": \"0.208\", \"bbox\": [169, 192, 191, 202]}, {\"cell\": \"0.069\", \"bbox\": [226, 192, 248, 202]}, {\"cell\": \"0.111\", \"bbox\": [282, 192, 304, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 192, 369, 202]}, {\"cell\": \"< 0.001\", \"bbox\": [382, 192, 411, 202]}, {\"cell\": \"< 0.001\", \"bbox\": [424, 192, 454, 202]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4825493_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}317{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>No.</b></td><td><b>No.</b></td><td><b>No.</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>OCT</b></td><td><b>Histology</b></td><td><b>Total</b></td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>30</td><td>60</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>30</td><td>60</td></tr><tr><td>[EMPTY_CELL]</td><td><b>OCT</b></td><td><b>Histology</b></td><td><b>Total</b></td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>30</td><td>60</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>30</td><td>60</td></tr><tr><td>[EMPTY_CELL]</td><td><b>OCT</b></td><td><b>Histology</b></td><td><b>Total</b></td></tr><tr><td>[EMPTY_CELL]</td><td>12</td><td>15</td><td>27</td></tr><tr><td>[EMPTY_CELL]</td><td>18</td><td>15</td><td>33</td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>30</td><td>60</td></tr><tr><td>[EMPTY_CELL]</td><td><b>OCT</b></td><td><b>Histology</b></td><td><b>Total</b></td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>10</td><td>20</td></tr><tr><td>[EMPTY_CELL]</td><td>20</td><td>20</td><td>40</td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>30</td><td>60</td></tr><tr><td>[EMPTY_CELL]</td><td><b>OCT</b></td><td><b>Histology</b></td><td><b>Total</b></td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>30</td><td>60</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>30</td><td>60</td></tr><tr><td>[EMPTY_CELL]</td><td><b>OCT</b></td><td><b>Histology</b></td><td><b>Total</b></td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>7</td><td>13</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>23</td><td>47</td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>30</td><td>60</td></tr><tr><td>[EMPTY_CELL]</td><td><b>OCT</b></td><td><b>Histology</b></td><td><b>Total</b></td></tr><tr><td>[EMPTY_CELL]</td><td>22</td><td>25</td><td>47</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>5</td><td>13</td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>30</td><td>60</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No.</b>\", \"bbox\": [141, 4, 155, 12]}, {\"cell\": \"<b>No.</b>\", \"bbox\": [169, 4, 183, 12]}, {\"cell\": \"<b>No.</b>\", \"bbox\": [216, 4, 230, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 63, 27]}, {\"cell\": \"<b>OCT</b>\", \"bbox\": [141, 17, 158, 27]}, {\"cell\": \"<b>Histology</b>\", \"bbox\": [169, 17, 205, 27]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [216, 17, 236, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 41, 40]}, {\"cell\": \"30\", \"bbox\": [141, 30, 151, 40]}, {\"cell\": \"30\", \"bbox\": [169, 30, 179, 40]}, {\"cell\": \"60\", \"bbox\": [216, 30, 226, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 31, 53]}, {\"cell\": \"0\", \"bbox\": [141, 43, 147, 53]}, {\"cell\": \"0\", \"bbox\": [169, 43, 175, 53]}, {\"cell\": \"0\", \"bbox\": [216, 43, 222, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 56, 18, 66]}, {\"cell\": \"30\", \"bbox\": [141, 56, 151, 66]}, {\"cell\": \"30\", \"bbox\": [169, 56, 179, 66]}, {\"cell\": \"60\", \"bbox\": [216, 56, 226, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 70, 78, 79]}, {\"cell\": \"<b>OCT</b>\", \"bbox\": [141, 70, 158, 79]}, {\"cell\": \"<b>Histology</b>\", \"bbox\": [169, 70, 205, 79]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [216, 70, 236, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 56, 92]}, {\"cell\": \"30\", \"bbox\": [141, 83, 151, 92]}, {\"cell\": \"30\", \"bbox\": [169, 83, 179, 92]}, {\"cell\": \"60\", \"bbox\": [216, 83, 226, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 47, 105]}, {\"cell\": \"0\", \"bbox\": [141, 96, 147, 105]}, {\"cell\": \"0\", \"bbox\": [169, 96, 175, 105]}, {\"cell\": \"0\", \"bbox\": [216, 96, 222, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 109, 18, 119]}, {\"cell\": \"30\", \"bbox\": [141, 109, 151, 119]}, {\"cell\": \"30\", \"bbox\": [169, 109, 179, 119]}, {\"cell\": \"60\", \"bbox\": [216, 109, 226, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 130, 132]}, {\"cell\": \"<b>OCT</b>\", \"bbox\": [141, 122, 158, 132]}, {\"cell\": \"<b>Histology</b>\", \"bbox\": [169, 122, 205, 132]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [216, 122, 236, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 135, 41, 145]}, {\"cell\": \"12\", \"bbox\": [141, 135, 151, 145]}, {\"cell\": \"15\", \"bbox\": [169, 135, 179, 145]}, {\"cell\": \"27\", \"bbox\": [216, 135, 226, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 149, 31, 158]}, {\"cell\": \"18\", \"bbox\": [141, 149, 151, 158]}, {\"cell\": \"15\", \"bbox\": [169, 149, 179, 158]}, {\"cell\": \"33\", \"bbox\": [216, 149, 226, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 162, 18, 171]}, {\"cell\": \"30\", \"bbox\": [141, 162, 151, 171]}, {\"cell\": \"30\", \"bbox\": [169, 162, 179, 171]}, {\"cell\": \"60\", \"bbox\": [216, 162, 226, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 175, 56, 184]}, {\"cell\": \"<b>OCT</b>\", \"bbox\": [141, 175, 158, 184]}, {\"cell\": \"<b>Histology</b>\", \"bbox\": [169, 175, 205, 184]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [216, 175, 236, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 188, 41, 198]}, {\"cell\": \"10\", \"bbox\": [141, 188, 151, 198]}, {\"cell\": \"10\", \"bbox\": [169, 188, 179, 198]}, {\"cell\": \"20\", \"bbox\": [216, 188, 226, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 201, 31, 211]}, {\"cell\": \"20\", \"bbox\": [141, 201, 151, 211]}, {\"cell\": \"20\", \"bbox\": [169, 201, 179, 211]}, {\"cell\": \"40\", \"bbox\": [216, 201, 226, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 214, 18, 224]}, {\"cell\": \"30\", \"bbox\": [141, 214, 151, 224]}, {\"cell\": \"30\", \"bbox\": [169, 214, 179, 224]}, {\"cell\": \"60\", \"bbox\": [216, 214, 226, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 228, 78, 237]}, {\"cell\": \"<b>OCT</b>\", \"bbox\": [141, 228, 158, 237]}, {\"cell\": \"<b>Histology</b>\", \"bbox\": [169, 228, 205, 237]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [216, 228, 236, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 41, 250]}, {\"cell\": \"30\", \"bbox\": [141, 241, 151, 250]}, {\"cell\": \"30\", \"bbox\": [169, 241, 179, 250]}, {\"cell\": \"60\", \"bbox\": [216, 241, 226, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 31, 263]}, {\"cell\": \"0\", \"bbox\": [141, 254, 147, 263]}, {\"cell\": \"0\", \"bbox\": [169, 254, 175, 263]}, {\"cell\": \"0\", \"bbox\": [216, 254, 222, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 267, 18, 276]}, {\"cell\": \"30\", \"bbox\": [141, 267, 151, 276]}, {\"cell\": \"30\", \"bbox\": [169, 267, 179, 276]}, {\"cell\": \"60\", \"bbox\": [216, 267, 226, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 280, 72, 290]}, {\"cell\": \"<b>OCT</b>\", \"bbox\": [141, 280, 158, 290]}, {\"cell\": \"<b>Histology</b>\", \"bbox\": [169, 280, 205, 290]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [216, 280, 236, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 293, 41, 303]}, {\"cell\": \"6\", \"bbox\": [141, 293, 147, 303]}, {\"cell\": \"7\", \"bbox\": [169, 293, 175, 303]}, {\"cell\": \"13\", \"bbox\": [216, 293, 226, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 306, 31, 316]}, {\"cell\": \"24\", \"bbox\": [141, 306, 151, 316]}, {\"cell\": \"23\", \"bbox\": [169, 306, 179, 316]}, {\"cell\": \"47\", \"bbox\": [216, 306, 226, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 319, 18, 329]}, {\"cell\": \"30\", \"bbox\": [141, 319, 151, 329]}, {\"cell\": \"30\", \"bbox\": [169, 319, 179, 329]}, {\"cell\": \"60\", \"bbox\": [216, 319, 226, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 333, 43, 342]}, {\"cell\": \"<b>OCT</b>\", \"bbox\": [141, 333, 158, 342]}, {\"cell\": \"<b>Histology</b>\", \"bbox\": [169, 333, 205, 342]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [216, 333, 236, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 346, 41, 355]}, {\"cell\": \"22\", \"bbox\": [141, 346, 151, 355]}, {\"cell\": \"25\", \"bbox\": [169, 346, 179, 355]}, {\"cell\": \"47\", \"bbox\": [216, 346, 226, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 359, 31, 368]}, {\"cell\": \"8\", \"bbox\": [141, 359, 147, 368]}, {\"cell\": \"5\", \"bbox\": [169, 359, 175, 368]}, {\"cell\": \"13\", \"bbox\": [216, 359, 226, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 372, 18, 382]}, {\"cell\": \"30\", \"bbox\": [141, 372, 151, 382]}, {\"cell\": \"30\", \"bbox\": [169, 372, 179, 382]}, {\"cell\": \"60\", \"bbox\": [216, 372, 226, 382]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3414779_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}318{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Males</b></td><td><b>Low (1st tertile)</b></td><td><b>Medium (2nd tertile)</b></td><td><b>High (3rd tertile)</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Trait</b></td><td><b>mean ± SD</b></td><td><b>mean ± SD</b></td><td><b>mean ± SD</b></td><td><b><i>P-</i>value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>177.2 ± 6.2</td><td>177.6 ± 6.4</td><td>178.1 ± 6.3</td><td>0.557</td></tr><tr><td>[EMPTY_CELL]</td><td>76.4 ± 11.3</td><td>75.7 ± 10.5</td><td>74.9 ± 8.8</td><td>0.507</td></tr><tr><td>[EMPTY_CELL]</td><td>24.3 ± 3.3</td><td>24.0 ± 3.0</td><td>23.6 ± 2.2</td><td>0.151</td></tr><tr><td>[EMPTY_CELL]</td><td>92.9 ± 3.4</td><td>92.8 ± 3.6</td><td>93.0 ± 3.6</td><td>0.872</td></tr><tr><td>[EMPTY_CELL]</td><td>11.6 ± 5.7</td><td>10.9 ± 4.2</td><td>10.0 ± 4.7</td><td>0.054</td></tr><tr><td>[EMPTY_CELL]</td><td>6.0 ± 3.1<sup>a</sup></td><td>5.5 ± 3.3</td><td>5.2 ± 3.2</td><td>0.043</td></tr><tr><td>[EMPTY_CELL]</td><td>83.1 ± 7.9<sup>a</sup></td><td>81.8 ± 8.2</td><td>80.3 ± 5.5</td><td>0.009</td></tr><tr><td>[EMPTY_CELL]</td><td>0.47 ± 0.05<sup>a</sup></td><td>0.46 ± 0.05</td><td>0.45 ± 0.03</td><td>0.002</td></tr><tr><td>[EMPTY_CELL]</td><td>32.8 ± 3.1</td><td>32.3 ± 3.1</td><td>32.4 ± 3.2</td><td>0.483</td></tr><tr><td>[EMPTY_CELL]</td><td>29.7 ± 2.9</td><td>29.4 ± 3.0</td><td>29.3 ± 3.0</td><td>0.515</td></tr><tr><td>[EMPTY_CELL]</td><td>49.9 ± 7.6</td><td>49.9 ± 7.8</td><td>50.6 ± 8.5</td><td>0.691</td></tr><tr><td>[EMPTY_CELL]</td><td>48.7 ± 7.8</td><td>48.1 ± 7.9</td><td>48.1 ± 8.6</td><td>0.805</td></tr><tr><td>[EMPTY_CELL]</td><td>1.057 ± 0.012<sup>a</sup></td><td>1.059 ± 0.010</td><td>1.061 ± 0.011</td><td>0.009</td></tr><tr><td>[EMPTY_CELL]</td><td>18.2 ± 5.4<sup>a</sup></td><td>17.5 ± 4.3</td><td>16.3 ± 4.8</td><td>0.009</td></tr><tr><td>[EMPTY_CELL]</td><td>14.2 ± 5.9<sup>a</sup></td><td>13.4 ± 4.7</td><td>12.4 ± 4.5</td><td>0.022</td></tr><tr><td>[EMPTY_CELL]</td><td>62.5 ± 8.0</td><td>62.0 ± 7.5</td><td>62.6 ± 6.8</td><td>0.835</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Males</b>\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"<b>Low (1st tertile)</b>\", \"bbox\": [97, 4, 154, 13]}, {\"cell\": \"<b>Medium (2nd tertile)</b>\", \"bbox\": [210, 4, 284, 13]}, {\"cell\": \"<b>High (3rd tertile)</b>\", \"bbox\": [341, 4, 401, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Trait</b>\", \"bbox\": [1, 17, 18, 26]}, {\"cell\": \"<b>mean ± SD</b>\", \"bbox\": [105, 17, 146, 26]}, {\"cell\": \"<b>mean ± SD</b>\", \"bbox\": [227, 17, 267, 26]}, {\"cell\": \"<b>mean ± SD</b>\", \"bbox\": [350, 17, 391, 26]}, {\"cell\": \"<b><i>P-</i>value</b>\", \"bbox\": [457, 17, 484, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 24, 40]}, {\"cell\": \"177.2 ± 6.2\", \"bbox\": [108, 30, 143, 40]}, {\"cell\": \"177.6 ± 6.4\", \"bbox\": [229, 30, 265, 40]}, {\"cell\": \"178.1 ± 6.3\", \"bbox\": [353, 30, 388, 40]}, {\"cell\": \"0.557\", \"bbox\": [461, 30, 480, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 23, 54]}, {\"cell\": \"76.4 ± 11.3\", \"bbox\": [108, 44, 143, 54]}, {\"cell\": \"75.7 ± 10.5\", \"bbox\": [229, 44, 265, 54]}, {\"cell\": \"74.9 ± 8.8\", \"bbox\": [355, 44, 386, 54]}, {\"cell\": \"0.507\", \"bbox\": [461, 44, 480, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 41, 68]}, {\"cell\": \"24.3 ± 3.3\", \"bbox\": [110, 58, 141, 68]}, {\"cell\": \"24.0 ± 3.0\", \"bbox\": [231, 58, 263, 68]}, {\"cell\": \"23.6 ± 2.2\", \"bbox\": [355, 58, 386, 68]}, {\"cell\": \"0.151\", \"bbox\": [461, 58, 480, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 28, 82]}, {\"cell\": \"92.9 ± 3.4\", \"bbox\": [110, 72, 141, 82]}, {\"cell\": \"92.8 ± 3.6\", \"bbox\": [231, 72, 263, 82]}, {\"cell\": \"93.0 ± 3.6\", \"bbox\": [355, 72, 386, 82]}, {\"cell\": \"0.872\", \"bbox\": [461, 72, 480, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 35, 96]}, {\"cell\": \"11.6 ± 5.7\", \"bbox\": [110, 86, 141, 96]}, {\"cell\": \"10.9 ± 4.2\", \"bbox\": [231, 86, 263, 96]}, {\"cell\": \"10.0 ± 4.7\", \"bbox\": [355, 86, 386, 96]}, {\"cell\": \"0.054\", \"bbox\": [461, 86, 480, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 35, 110]}, {\"cell\": \"6.0 ± 3.1<sup>a</sup>\", \"bbox\": [110, 99, 141, 110]}, {\"cell\": \"5.5 ± 3.3\", \"bbox\": [233, 100, 261, 110]}, {\"cell\": \"5.2 ± 3.2\", \"bbox\": [357, 100, 384, 110]}, {\"cell\": \"0.043\", \"bbox\": [461, 100, 480, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 30, 124]}, {\"cell\": \"83.1 ± 7.9<sup>a</sup>\", \"bbox\": [108, 113, 143, 124]}, {\"cell\": \"81.8 ± 8.2\", \"bbox\": [231, 114, 263, 124]}, {\"cell\": \"80.3 ± 5.5\", \"bbox\": [355, 114, 386, 124]}, {\"cell\": \"0.009\", \"bbox\": [461, 114, 480, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 17, 138]}, {\"cell\": \"0.47 ± 0.05<sup>a</sup>\", \"bbox\": [106, 127, 145, 138]}, {\"cell\": \"0.46 ± 0.05\", \"bbox\": [229, 128, 265, 138]}, {\"cell\": \"0.45 ± 0.03\", \"bbox\": [353, 128, 388, 138]}, {\"cell\": \"0.002\", \"bbox\": [461, 128, 480, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 33, 152]}, {\"cell\": \"32.8 ± 3.1\", \"bbox\": [110, 142, 141, 152]}, {\"cell\": \"32.3 ± 3.1\", \"bbox\": [231, 142, 263, 152]}, {\"cell\": \"32.4 ± 3.2\", \"bbox\": [355, 142, 386, 152]}, {\"cell\": \"0.483\", \"bbox\": [461, 142, 480, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 33, 166]}, {\"cell\": \"29.7 ± 2.9\", \"bbox\": [110, 156, 141, 166]}, {\"cell\": \"29.4 ± 3.0\", \"bbox\": [231, 156, 263, 166]}, {\"cell\": \"29.3 ± 3.0\", \"bbox\": [355, 156, 386, 166]}, {\"cell\": \"0.515\", \"bbox\": [461, 156, 480, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 31, 180]}, {\"cell\": \"49.9 ± 7.6\", \"bbox\": [110, 170, 141, 180]}, {\"cell\": \"49.9 ± 7.8\", \"bbox\": [231, 170, 263, 180]}, {\"cell\": \"50.6 ± 8.5\", \"bbox\": [355, 170, 386, 180]}, {\"cell\": \"0.691\", \"bbox\": [461, 170, 480, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 30, 194]}, {\"cell\": \"48.7 ± 7.8\", \"bbox\": [110, 184, 141, 194]}, {\"cell\": \"48.1 ± 7.9\", \"bbox\": [231, 184, 263, 194]}, {\"cell\": \"48.1 ± 8.6\", \"bbox\": [355, 184, 386, 194]}, {\"cell\": \"0.805\", \"bbox\": [461, 184, 480, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 32, 208]}, {\"cell\": \"1.057 ± 0.012<sup>a</sup>\", \"bbox\": [103, 197, 148, 208]}, {\"cell\": \"1.059 ± 0.010\", \"bbox\": [226, 198, 269, 208]}, {\"cell\": \"1.061 ± 0.011\", \"bbox\": [349, 198, 392, 208]}, {\"cell\": \"0.009\", \"bbox\": [461, 198, 480, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 12, 222]}, {\"cell\": \"18.2 ± 5.4<sup>a</sup>\", \"bbox\": [108, 211, 143, 222]}, {\"cell\": \"17.5 ± 4.3\", \"bbox\": [231, 212, 263, 222]}, {\"cell\": \"16.3 ± 4.8\", \"bbox\": [355, 212, 386, 222]}, {\"cell\": \"0.009\", \"bbox\": [461, 212, 480, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 27, 236]}, {\"cell\": \"14.2 ± 5.9<sup>a</sup>\", \"bbox\": [108, 225, 143, 236]}, {\"cell\": \"13.4 ± 4.7\", \"bbox\": [231, 226, 263, 236]}, {\"cell\": \"12.4 ± 4.5\", \"bbox\": [355, 226, 386, 236]}, {\"cell\": \"0.022\", \"bbox\": [461, 226, 480, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 30, 250]}, {\"cell\": \"62.5 ± 8.0\", \"bbox\": [110, 240, 141, 250]}, {\"cell\": \"62.0 ± 7.5\", \"bbox\": [231, 240, 263, 250]}, {\"cell\": \"62.6 ± 6.8\", \"bbox\": [355, 240, 386, 250]}, {\"cell\": \"0.835\", \"bbox\": [461, 240, 480, 250]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4025557_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}319{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>model</b></td><td><b>blocks</b></td><td><b>blocks, d = 0</b></td><td><b>no multi-gene gains</b></td><td><b>no multi-gene losses</b></td><td><b>birth-death</b></td></tr></thead><tbody><tr><td>log likelihood</td><td>−7.0311 × 10<sup>3</sup></td><td>−7.0311×10<sup>3</sup></td><td>−7.0379×10<sup>3</sup></td><td>−7.0439×10<sup>3</sup></td><td>[EMPTY_CELL]</td></tr><tr><td><i>a</i></td><td>2.11</td><td>2.12</td><td>1.00</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td><i>b</i></td><td>6.04×10<sup>−7</sup></td><td>6.18×10<sup>−7</sup></td><td>2.89×10<sup>−7</sup></td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td><i>b</i><sub>2</sub></td><td>0.24</td><td>0.23</td><td>0.09</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td><i>c</i></td><td>7.00×10<sup>−6</sup></td><td>9.29×10<sup>−8</sup></td><td>-</td><td>1.93×10<sup>−4</sup></td><td>[EMPTY_CELL]</td></tr><tr><td><i>c</i><sub>2</sub></td><td>0.30</td><td>0.31</td><td>-</td><td>0.02</td><td>[EMPTY_CELL]</td></tr><tr><td><i>d</i></td><td>6.79×10<sup>−8</sup></td><td>-</td><td>-</td><td>1.51×10<sup>−4</sup></td><td>[EMPTY_CELL]</td></tr><tr><td><i>e</i></td><td>0.40</td><td>0.40</td><td>0.28</td><td>0.14</td><td>[EMPTY_CELL]</td></tr><tr><td><i>f</i></td><td>2.51×10<sup>−3</sup></td><td>1.21×10<sup>−4</sup></td><td>3.53×10<sup>−5</sup></td><td>1.39</td><td>[EMPTY_CELL]</td></tr><tr><td><i>f</i><sub>2</sub></td><td>3.57×10<sup>−4</sup></td><td>3.49×10<sup>−4</sup></td><td>3.02</td><td>1.84</td><td>[EMPTY_CELL]</td></tr><tr><td><i>g</i></td><td>0.86</td><td>0.84</td><td>1.06</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td><i>g</i><sub>2</sub></td><td>0.03</td><td>0.07</td><td>1.08 × 10<sup>−4</sup></td><td>2.25×10<sup>−3</sup></td><td>[EMPTY_CELL]</td></tr><tr><td><i>h</i></td><td>1.25</td><td>1.25</td><td>1.05</td><td>0.76</td><td>[EMPTY_CELL]</td></tr><tr><td><i>t</i><sub>1</sub></td><td>0.33</td><td>0.33</td><td>0.57</td><td>1.57</td><td>[EMPTY_CELL]</td></tr><tr><td><i>t</i><sub>2</sub></td><td>0.52</td><td>0.52</td><td>0.69</td><td>1.11</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>model</b>\", \"bbox\": [1, 5, 32, 16]}, {\"cell\": \"<b>blocks</b>\", \"bbox\": [96, 5, 129, 16]}, {\"cell\": \"<b>blocks, d = 0</b>\", \"bbox\": [168, 5, 231, 16]}, {\"cell\": \"<b>no multi-gene gains</b>\", \"bbox\": [254, 5, 321, 27]}, {\"cell\": \"<b>no multi-gene losses</b>\", \"bbox\": [341, 5, 408, 27]}, {\"cell\": \"<b>birth-death</b>\", \"bbox\": [430, 5, 485, 16]}, {\"cell\": \"log likelihood\", \"bbox\": [1, 33, 60, 44]}, {\"cell\": \"−7.0311 × 10<sup>3</sup>\", \"bbox\": [82, 32, 143, 44]}, {\"cell\": \"−7.0311×10<sup>3</sup>\", \"bbox\": [169, 32, 230, 44]}, {\"cell\": \"−7.0379×10<sup>3</sup>\", \"bbox\": [257, 32, 318, 44]}, {\"cell\": \"−7.0439×10<sup>3</sup>\", \"bbox\": [344, 32, 405, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 32, 488, 44]}, {\"cell\": \"<i>a</i>\", \"bbox\": [1, 44, 8, 55]}, {\"cell\": \"2.11\", \"bbox\": [102, 44, 123, 55]}, {\"cell\": \"2.12\", \"bbox\": [189, 44, 210, 55]}, {\"cell\": \"1.00\", \"bbox\": [277, 44, 298, 55]}, {\"cell\": \"-\", \"bbox\": [372, 44, 377, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 44, 460, 55]}, {\"cell\": \"<i>b</i>\", \"bbox\": [1, 55, 8, 66]}, {\"cell\": \"6.04×10<sup>−7</sup>\", \"bbox\": [88, 54, 137, 66]}, {\"cell\": \"6.18×10<sup>−7</sup>\", \"bbox\": [175, 54, 224, 66]}, {\"cell\": \"2.89×10<sup>−7</sup>\", \"bbox\": [263, 54, 312, 66]}, {\"cell\": \"-\", \"bbox\": [372, 55, 377, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 55, 460, 66]}, {\"cell\": \"<i>b</i><sub>2</sub>\", \"bbox\": [1, 66, 12, 79]}, {\"cell\": \"0.24\", \"bbox\": [102, 66, 123, 77]}, {\"cell\": \"0.23\", \"bbox\": [189, 66, 210, 77]}, {\"cell\": \"0.09\", \"bbox\": [277, 66, 298, 77]}, {\"cell\": \"-\", \"bbox\": [372, 66, 377, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 66, 460, 77]}, {\"cell\": \"<i>c</i>\", \"bbox\": [1, 77, 8, 88]}, {\"cell\": \"7.00×10<sup>−6</sup>\", \"bbox\": [88, 76, 137, 88]}, {\"cell\": \"9.29×10<sup>−8</sup>\", \"bbox\": [175, 76, 224, 88]}, {\"cell\": \"-\", \"bbox\": [285, 77, 290, 88]}, {\"cell\": \"1.93×10<sup>−4</sup>\", \"bbox\": [350, 76, 399, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 77, 460, 88]}, {\"cell\": \"<i>c</i><sub>2</sub>\", \"bbox\": [1, 88, 11, 101]}, {\"cell\": \"0.30\", \"bbox\": [102, 88, 123, 99]}, {\"cell\": \"0.31\", \"bbox\": [189, 88, 210, 99]}, {\"cell\": \"-\", \"bbox\": [285, 88, 290, 99]}, {\"cell\": \"0.02\", \"bbox\": [364, 88, 385, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 88, 460, 99]}, {\"cell\": \"<i>d</i>\", \"bbox\": [1, 99, 8, 110]}, {\"cell\": \"6.79×10<sup>−8</sup>\", \"bbox\": [88, 98, 137, 110]}, {\"cell\": \"-\", \"bbox\": [197, 99, 202, 110]}, {\"cell\": \"-\", \"bbox\": [285, 99, 290, 110]}, {\"cell\": \"1.51×10<sup>−4</sup>\", \"bbox\": [350, 98, 399, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 99, 460, 110]}, {\"cell\": \"<i>e</i>\", \"bbox\": [1, 110, 8, 121]}, {\"cell\": \"0.40\", \"bbox\": [102, 110, 123, 121]}, {\"cell\": \"0.40\", \"bbox\": [189, 110, 210, 121]}, {\"cell\": \"0.28\", \"bbox\": [277, 110, 298, 121]}, {\"cell\": \"0.14\", \"bbox\": [364, 110, 385, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 110, 468, 121]}, {\"cell\": \"<i>f</i>\", \"bbox\": [1, 121, 5, 132]}, {\"cell\": \"2.51×10<sup>−3</sup>\", \"bbox\": [88, 120, 137, 132]}, {\"cell\": \"1.21×10<sup>−4</sup>\", \"bbox\": [175, 120, 224, 132]}, {\"cell\": \"3.53×10<sup>−5</sup>\", \"bbox\": [263, 120, 312, 132]}, {\"cell\": \"1.39\", \"bbox\": [364, 121, 385, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 121, 468, 132]}, {\"cell\": \"<i>f</i><sub>2</sub>\", \"bbox\": [1, 132, 9, 145]}, {\"cell\": \"3.57×10<sup>−4</sup>\", \"bbox\": [88, 131, 137, 143]}, {\"cell\": \"3.49×10<sup>−4</sup>\", \"bbox\": [175, 131, 224, 143]}, {\"cell\": \"3.02\", \"bbox\": [277, 132, 298, 143]}, {\"cell\": \"1.84\", \"bbox\": [364, 132, 385, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 132, 471, 143]}, {\"cell\": \"<i>g</i>\", \"bbox\": [1, 143, 8, 154]}, {\"cell\": \"0.86\", \"bbox\": [102, 143, 123, 154]}, {\"cell\": \"0.84\", \"bbox\": [189, 143, 210, 154]}, {\"cell\": \"1.06\", \"bbox\": [277, 143, 298, 154]}, {\"cell\": \"1.00\", \"bbox\": [364, 143, 385, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 143, 468, 154]}, {\"cell\": \"<i>g</i><sub>2</sub>\", \"bbox\": [1, 154, 12, 167]}, {\"cell\": \"0.03\", \"bbox\": [102, 154, 123, 165]}, {\"cell\": \"0.07\", \"bbox\": [189, 154, 210, 165]}, {\"cell\": \"1.08 × 10<sup>−4</sup>\", \"bbox\": [263, 153, 312, 165]}, {\"cell\": \"2.25×10<sup>−3</sup>\", \"bbox\": [350, 153, 399, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 154, 471, 165]}, {\"cell\": \"<i>h</i>\", \"bbox\": [1, 165, 8, 176]}, {\"cell\": \"1.25\", \"bbox\": [102, 165, 123, 176]}, {\"cell\": \"1.25\", \"bbox\": [189, 165, 210, 176]}, {\"cell\": \"1.05\", \"bbox\": [277, 165, 298, 176]}, {\"cell\": \"0.76\", \"bbox\": [364, 165, 385, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 165, 469, 178]}, {\"cell\": \"<i>t</i><sub>1</sub>\", \"bbox\": [1, 176, 9, 189]}, {\"cell\": \"0.33\", \"bbox\": [102, 176, 123, 187]}, {\"cell\": \"0.33\", \"bbox\": [189, 176, 210, 187]}, {\"cell\": \"0.57\", \"bbox\": [277, 176, 298, 187]}, {\"cell\": \"1.57\", \"bbox\": [364, 176, 385, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 176, 468, 187]}, {\"cell\": \"<i>t</i><sub>2</sub>\", \"bbox\": [1, 187, 9, 200]}, {\"cell\": \"0.52\", \"bbox\": [102, 187, 123, 198]}, {\"cell\": \"0.52\", \"bbox\": [189, 187, 210, 198]}, {\"cell\": \"0.69\", \"bbox\": [277, 187, 298, 198]}, {\"cell\": \"1.11\", \"bbox\": [364, 187, 385, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 187, 468, 198]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2674660_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}320{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Region-locality</b></td><td colspan=\\\"2\\\"><b>Phlebotominae sand flies</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Tree species</b></td><td><b>C-SL</b></td><td><b>C-CR</b></td><td><b>C-AG</b></td><td><b>A-RC</b></td><td><b>N<i>Lutzomyia</i>(%)</b></td><td><b>N<i>Brumptomyia</i>(%)</b></td><td><b>Total (%)</b></td></tr></thead><tbody><tr><td>1. <i>Pithecellobium dulce -</i><b>FB</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>2. <i>Cordia dentata -</i><b>BR</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>3. <i>Samanea saman -</i><b>FB</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>5 (3.5)</td><td>-</td><td>5 (3.5)</td></tr><tr><td>4. <i>Anacardium excelsum</i> - <b>AN</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>13 (9.1)</td><td>-</td><td>13 (9.1)</td></tr><tr><td>5. <i>Mangifera indica</i> - <b>AC</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>5 (3.5)</td><td>-</td><td>5 (3.5)</td></tr><tr><td>6. <i>Platymiscium pinnatum</i> - <b>FB</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>7. <i>Pseudobombax septenatum</i> - <b>BB</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>1 (0.7)</td><td>-</td><td>1 (0.7)</td></tr><tr><td>8. <i>Crescentia cujete</i> - <b>BG</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>4 (2.8)</td><td>-</td><td>4 (2.8)</td></tr><tr><td>9. <i>Cordia bicolor</i> - <b>BR</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>1 (0.7)</td><td>-</td><td>1 (0.7)</td></tr><tr><td>10. <i>Pseudosamanea guachapele -</i><b>FB</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>10 (7.0)</td><td>-</td><td>10 (7.0)</td></tr><tr><td>11. <i>Cedrela odorata -</i><b>ML</b></td><td>X</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>1 (0.7)</td><td>-</td><td>1 (0.7)</td></tr><tr><td>12<i>. Nectandra membranaceae</i> - <b>LR</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>-</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>13. <i>Myroxylon balsamum -</i><b>FB</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>-</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>14. <i>Trichilia acuminata -</i><b>ML</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>-</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>15. <i>Aspidosperma megalocarpon</i> - <b>AP</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>-</td><td>4 (2.8)</td><td>-</td><td>4 (2.8)</td></tr><tr><td>16. <i>Brownea ariza</i> - <b>FB</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>-</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>17. <i>Soroceae sprucei -</i><b>MR</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>-</td><td>1 (0.7)</td><td>-</td><td>1 (0.7)</td></tr><tr><td>18. <i>Ceiba pentandra -</i><b>BB</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>15 (10.5)</td><td>31 (21.8)</td><td>46 (32.3)</td></tr><tr><td>19. <i>Basiloxylum excelsum -</i><b>ST</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>-</td><td>1 (0.7)</td><td>-</td><td>1 (0.7)</td></tr><tr><td>20. <i>Dilodendron sp. -</i><b>SP</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>-</td><td>1 (0.7)</td><td>-</td><td>1 (0.7)</td></tr><tr><td>21. <i>Heisteria acuminata</i> - <b>OL</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>-</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>22. <i>Albizia nipoides -</i><b>MM</b></td><td>-</td><td>X</td><td>[EMPTY_CELL]</td><td>-</td><td>1 (0.7)</td><td>-</td><td>1 (0.7)</td></tr><tr><td>23. <i>Protium</i> sp. - <b>BS</b></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>X</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>24. <i>Schizolobium parahyba</i> - <b>FB</b></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>X</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>25. <i>Vochysia ferruginea -</i><b>VC</b></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>X</td><td>5 (3.5)</td><td>2 (1.4)</td><td>7 (4.9)</td></tr><tr><td>26. <i>Dialium guianense -</i><b>FB</b></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>X</td><td>2 (1.4)</td><td>-</td><td>2 (1.4)</td></tr><tr><td>27. ND</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>19 (13.3)</td><td>-</td><td>19 (13.3)</td></tr><tr><td><b>Total (%)</b></td><td>11</td><td>11</td><td>[EMPTY_CELL]</td><td>5</td><td>109 (76.7)</td><td>33 (23.2)</td><td>142 (100)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Region-locality</b>\", \"bbox\": [139, 4, 193, 13]}, {\"cell\": \"<b>Phlebotominae sand flies</b>\", \"bbox\": [287, 4, 377, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Tree species</b>\", \"bbox\": [1, 17, 45, 27]}, {\"cell\": \"<b>C-SL</b>\", \"bbox\": [139, 17, 156, 27]}, {\"cell\": \"<b>C-CR</b>\", \"bbox\": [175, 17, 193, 27]}, {\"cell\": \"<b>C-AG</b>\", \"bbox\": [212, 17, 231, 27]}, {\"cell\": \"<b>A-RC</b>\", \"bbox\": [250, 17, 269, 27]}, {\"cell\": \"<b>N<i>Lutzomyia</i>(%)</b>\", \"bbox\": [287, 17, 345, 27]}, {\"cell\": \"<b>N<i>Brumptomyia</i>(%)</b>\", \"bbox\": [364, 17, 433, 27]}, {\"cell\": \"<b>Total (%)</b>\", \"bbox\": [451, 17, 484, 27]}, {\"cell\": \"1. <i>Pithecellobium dulce -</i><b>FB</b>\", \"bbox\": [1, 30, 89, 40]}, {\"cell\": \"X\", \"bbox\": [139, 30, 146, 40]}, {\"cell\": \"-\", \"bbox\": [175, 30, 179, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 30, 216, 40]}, {\"cell\": \"-\", \"bbox\": [250, 30, 254, 40]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 30, 309, 40]}, {\"cell\": \"-\", \"bbox\": [364, 30, 368, 40]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 30, 473, 40]}, {\"cell\": \"2. <i>Cordia dentata -</i><b>BR</b>\", \"bbox\": [1, 44, 73, 54]}, {\"cell\": \"X\", \"bbox\": [139, 44, 146, 54]}, {\"cell\": \"-\", \"bbox\": [175, 44, 179, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 44, 216, 54]}, {\"cell\": \"-\", \"bbox\": [250, 44, 254, 54]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 44, 309, 54]}, {\"cell\": \"-\", \"bbox\": [364, 44, 368, 54]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 44, 473, 54]}, {\"cell\": \"3. <i>Samanea saman -</i><b>FB</b>\", \"bbox\": [1, 58, 78, 68]}, {\"cell\": \"X\", \"bbox\": [139, 58, 146, 68]}, {\"cell\": \"-\", \"bbox\": [175, 58, 179, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 58, 216, 68]}, {\"cell\": \"-\", \"bbox\": [250, 58, 254, 68]}, {\"cell\": \"5 (3.5)\", \"bbox\": [287, 58, 309, 68]}, {\"cell\": \"-\", \"bbox\": [364, 58, 368, 68]}, {\"cell\": \"5 (3.5)\", \"bbox\": [451, 58, 473, 68]}, {\"cell\": \"4. <i>Anacardium excelsum</i> - <b>AN</b>\", \"bbox\": [1, 72, 95, 82]}, {\"cell\": \"X\", \"bbox\": [139, 72, 146, 82]}, {\"cell\": \"-\", \"bbox\": [175, 72, 179, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 72, 216, 82]}, {\"cell\": \"-\", \"bbox\": [250, 72, 254, 82]}, {\"cell\": \"13 (9.1)\", \"bbox\": [287, 72, 312, 82]}, {\"cell\": \"-\", \"bbox\": [364, 72, 368, 82]}, {\"cell\": \"13 (9.1)\", \"bbox\": [451, 72, 477, 82]}, {\"cell\": \"5. <i>Mangifera indica</i> - <b>AC</b>\", \"bbox\": [1, 86, 79, 96]}, {\"cell\": \"X\", \"bbox\": [139, 86, 146, 96]}, {\"cell\": \"-\", \"bbox\": [175, 86, 179, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 86, 216, 96]}, {\"cell\": \"-\", \"bbox\": [250, 86, 254, 96]}, {\"cell\": \"5 (3.5)\", \"bbox\": [287, 86, 309, 96]}, {\"cell\": \"-\", \"bbox\": [364, 86, 368, 96]}, {\"cell\": \"5 (3.5)\", \"bbox\": [451, 86, 473, 96]}, {\"cell\": \"6. <i>Platymiscium pinnatum</i> - <b>FB</b>\", \"bbox\": [1, 100, 99, 110]}, {\"cell\": \"X\", \"bbox\": [139, 100, 146, 110]}, {\"cell\": \"-\", \"bbox\": [175, 100, 179, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 100, 216, 110]}, {\"cell\": \"-\", \"bbox\": [250, 100, 254, 110]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 100, 309, 110]}, {\"cell\": \"-\", \"bbox\": [364, 100, 368, 110]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 100, 473, 110]}, {\"cell\": \"7. <i>Pseudobombax septenatum</i> - <b>BB</b>\", \"bbox\": [1, 114, 112, 124]}, {\"cell\": \"X\", \"bbox\": [139, 114, 146, 124]}, {\"cell\": \"-\", \"bbox\": [175, 114, 179, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 114, 216, 124]}, {\"cell\": \"-\", \"bbox\": [250, 114, 254, 124]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 114, 309, 124]}, {\"cell\": \"-\", \"bbox\": [364, 114, 368, 124]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 114, 473, 124]}, {\"cell\": \"8. <i>Crescentia cujete</i> - <b>BG</b>\", \"bbox\": [1, 128, 78, 138]}, {\"cell\": \"X\", \"bbox\": [139, 128, 146, 138]}, {\"cell\": \"-\", \"bbox\": [175, 128, 179, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 128, 216, 138]}, {\"cell\": \"-\", \"bbox\": [250, 128, 254, 138]}, {\"cell\": \"4 (2.8)\", \"bbox\": [287, 128, 309, 138]}, {\"cell\": \"-\", \"bbox\": [364, 128, 368, 138]}, {\"cell\": \"4 (2.8)\", \"bbox\": [451, 128, 473, 138]}, {\"cell\": \"9. <i>Cordia bicolor</i> - <b>BR</b>\", \"bbox\": [1, 142, 69, 152]}, {\"cell\": \"X\", \"bbox\": [139, 142, 146, 152]}, {\"cell\": \"-\", \"bbox\": [175, 142, 179, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 142, 216, 152]}, {\"cell\": \"-\", \"bbox\": [250, 142, 254, 152]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 142, 309, 152]}, {\"cell\": \"-\", \"bbox\": [364, 142, 368, 152]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 142, 473, 152]}, {\"cell\": \"10. <i>Pseudosamanea guachapele -</i><b>FB</b>\", \"bbox\": [1, 156, 118, 166]}, {\"cell\": \"X\", \"bbox\": [139, 156, 146, 166]}, {\"cell\": \"-\", \"bbox\": [175, 156, 179, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 156, 216, 166]}, {\"cell\": \"-\", \"bbox\": [250, 156, 254, 166]}, {\"cell\": \"10 (7.0)\", \"bbox\": [287, 156, 312, 166]}, {\"cell\": \"-\", \"bbox\": [364, 156, 368, 166]}, {\"cell\": \"10 (7.0)\", \"bbox\": [451, 156, 477, 166]}, {\"cell\": \"11. <i>Cedrela odorata -</i><b>ML</b>\", \"bbox\": [1, 170, 81, 180]}, {\"cell\": \"X\", \"bbox\": [139, 170, 146, 179]}, {\"cell\": \"-\", \"bbox\": [175, 170, 179, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 170, 216, 179]}, {\"cell\": \"-\", \"bbox\": [250, 170, 254, 179]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 170, 309, 179]}, {\"cell\": \"-\", \"bbox\": [364, 170, 368, 179]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 170, 473, 179]}, {\"cell\": \"12<i>. Nectandra membranaceae</i> - <b>LR</b>\", \"bbox\": [1, 184, 112, 194]}, {\"cell\": \"-\", \"bbox\": [139, 184, 144, 193]}, {\"cell\": \"X\", \"bbox\": [175, 184, 181, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 184, 216, 193]}, {\"cell\": \"-\", \"bbox\": [250, 184, 254, 193]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 184, 309, 193]}, {\"cell\": \"-\", \"bbox\": [364, 184, 368, 193]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 184, 473, 193]}, {\"cell\": \"13. <i>Myroxylon balsamum -</i><b>FB</b>\", \"bbox\": [1, 198, 96, 208]}, {\"cell\": \"-\", \"bbox\": [139, 198, 144, 207]}, {\"cell\": \"X\", \"bbox\": [175, 198, 181, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 198, 216, 207]}, {\"cell\": \"-\", \"bbox\": [250, 198, 254, 207]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 198, 309, 207]}, {\"cell\": \"-\", \"bbox\": [364, 198, 368, 207]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 198, 473, 207]}, {\"cell\": \"14. <i>Trichilia acuminata -</i><b>ML</b>\", \"bbox\": [1, 212, 91, 222]}, {\"cell\": \"-\", \"bbox\": [139, 212, 144, 221]}, {\"cell\": \"X\", \"bbox\": [175, 212, 181, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 212, 216, 221]}, {\"cell\": \"-\", \"bbox\": [250, 212, 254, 221]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 212, 309, 221]}, {\"cell\": \"-\", \"bbox\": [364, 212, 368, 221]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 212, 473, 221]}, {\"cell\": \"15. <i>Aspidosperma megalocarpon</i> - <b>AP</b>\", \"bbox\": [1, 226, 121, 236]}, {\"cell\": \"-\", \"bbox\": [139, 226, 144, 236]}, {\"cell\": \"X\", \"bbox\": [175, 226, 181, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 226, 216, 236]}, {\"cell\": \"-\", \"bbox\": [250, 226, 254, 236]}, {\"cell\": \"4 (2.8)\", \"bbox\": [287, 226, 309, 236]}, {\"cell\": \"-\", \"bbox\": [364, 226, 368, 236]}, {\"cell\": \"4 (2.8)\", \"bbox\": [451, 226, 473, 236]}, {\"cell\": \"16. <i>Brownea ariza</i> - <b>FB</b>\", \"bbox\": [1, 240, 74, 250]}, {\"cell\": \"-\", \"bbox\": [139, 240, 144, 250]}, {\"cell\": \"X\", \"bbox\": [175, 240, 181, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 240, 216, 250]}, {\"cell\": \"-\", \"bbox\": [250, 240, 254, 250]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 240, 309, 250]}, {\"cell\": \"-\", \"bbox\": [364, 240, 368, 250]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 240, 473, 250]}, {\"cell\": \"17. <i>Soroceae sprucei -</i><b>MR</b>\", \"bbox\": [1, 254, 83, 264]}, {\"cell\": \"-\", \"bbox\": [139, 254, 144, 264]}, {\"cell\": \"X\", \"bbox\": [175, 254, 181, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 254, 216, 264]}, {\"cell\": \"-\", \"bbox\": [250, 254, 254, 264]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 254, 309, 264]}, {\"cell\": \"-\", \"bbox\": [364, 254, 368, 264]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 254, 473, 264]}, {\"cell\": \"18. <i>Ceiba pentandra -</i><b>BB</b>\", \"bbox\": [1, 268, 82, 278]}, {\"cell\": \"-\", \"bbox\": [139, 268, 144, 278]}, {\"cell\": \"X\", \"bbox\": [175, 268, 181, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 268, 218, 278]}, {\"cell\": \"X\", \"bbox\": [250, 268, 256, 278]}, {\"cell\": \"15 (10.5)\", \"bbox\": [287, 268, 316, 278]}, {\"cell\": \"31 (21.8)\", \"bbox\": [364, 268, 393, 278]}, {\"cell\": \"46 (32.3)\", \"bbox\": [451, 268, 480, 278]}, {\"cell\": \"19. <i>Basiloxylum excelsum -</i><b>ST</b>\", \"bbox\": [1, 282, 95, 292]}, {\"cell\": \"-\", \"bbox\": [139, 282, 144, 292]}, {\"cell\": \"X\", \"bbox\": [175, 282, 181, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 282, 216, 292]}, {\"cell\": \"-\", \"bbox\": [250, 282, 254, 292]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 282, 309, 292]}, {\"cell\": \"-\", \"bbox\": [364, 282, 368, 292]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 282, 473, 292]}, {\"cell\": \"20. <i>Dilodendron sp. -</i><b>SP</b>\", \"bbox\": [1, 296, 78, 306]}, {\"cell\": \"-\", \"bbox\": [139, 296, 144, 306]}, {\"cell\": \"X\", \"bbox\": [175, 296, 181, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 296, 216, 306]}, {\"cell\": \"-\", \"bbox\": [250, 296, 254, 306]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 296, 309, 306]}, {\"cell\": \"-\", \"bbox\": [364, 296, 368, 306]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 296, 473, 306]}, {\"cell\": \"21. <i>Heisteria acuminata</i> - <b>OL</b>\", \"bbox\": [1, 310, 92, 320]}, {\"cell\": \"-\", \"bbox\": [139, 310, 144, 320]}, {\"cell\": \"X\", \"bbox\": [175, 310, 181, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 310, 216, 320]}, {\"cell\": \"-\", \"bbox\": [250, 310, 254, 320]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 310, 309, 320]}, {\"cell\": \"-\", \"bbox\": [364, 310, 368, 320]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 310, 473, 320]}, {\"cell\": \"22. <i>Albizia nipoides -</i><b>MM</b>\", \"bbox\": [1, 324, 82, 334]}, {\"cell\": \"-\", \"bbox\": [139, 324, 144, 334]}, {\"cell\": \"X\", \"bbox\": [175, 324, 181, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 324, 216, 334]}, {\"cell\": \"-\", \"bbox\": [250, 324, 254, 334]}, {\"cell\": \"1 (0.7)\", \"bbox\": [287, 324, 309, 334]}, {\"cell\": \"-\", \"bbox\": [364, 324, 368, 334]}, {\"cell\": \"1 (0.7)\", \"bbox\": [451, 324, 473, 334]}, {\"cell\": \"23. <i>Protium</i> sp. - <b>BS</b>\", \"bbox\": [1, 338, 65, 348]}, {\"cell\": \"-\", \"bbox\": [139, 338, 144, 348]}, {\"cell\": \"-\", \"bbox\": [175, 338, 179, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 338, 216, 348]}, {\"cell\": \"X\", \"bbox\": [250, 338, 256, 348]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 338, 309, 348]}, {\"cell\": \"-\", \"bbox\": [364, 338, 368, 348]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 338, 473, 348]}, {\"cell\": \"24. <i>Schizolobium parahyba</i> - <b>FB</b>\", \"bbox\": [1, 352, 102, 362]}, {\"cell\": \"-\", \"bbox\": [139, 352, 144, 362]}, {\"cell\": \"-\", \"bbox\": [175, 352, 179, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 352, 216, 362]}, {\"cell\": \"X\", \"bbox\": [250, 352, 256, 362]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 352, 309, 362]}, {\"cell\": \"-\", \"bbox\": [364, 352, 368, 362]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 352, 473, 362]}, {\"cell\": \"25. <i>Vochysia ferruginea -</i><b>VC</b>\", \"bbox\": [1, 366, 90, 376]}, {\"cell\": \"-\", \"bbox\": [139, 366, 144, 376]}, {\"cell\": \"-\", \"bbox\": [175, 366, 179, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 366, 216, 376]}, {\"cell\": \"X\", \"bbox\": [250, 366, 256, 376]}, {\"cell\": \"5 (3.5)\", \"bbox\": [287, 366, 309, 376]}, {\"cell\": \"2 (1.4)\", \"bbox\": [364, 366, 385, 376]}, {\"cell\": \"7 (4.9)\", \"bbox\": [451, 366, 473, 376]}, {\"cell\": \"26. <i>Dialium guianense -</i><b>FB</b>\", \"bbox\": [1, 380, 87, 390]}, {\"cell\": \"-\", \"bbox\": [139, 380, 144, 390]}, {\"cell\": \"-\", \"bbox\": [175, 380, 179, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 380, 216, 390]}, {\"cell\": \"X\", \"bbox\": [250, 380, 256, 390]}, {\"cell\": \"2 (1.4)\", \"bbox\": [287, 380, 309, 390]}, {\"cell\": \"-\", \"bbox\": [364, 380, 368, 390]}, {\"cell\": \"2 (1.4)\", \"bbox\": [451, 380, 473, 390]}, {\"cell\": \"27. ND\", \"bbox\": [1, 394, 24, 404]}, {\"cell\": \"-\", \"bbox\": [139, 394, 144, 404]}, {\"cell\": \"-\", \"bbox\": [175, 394, 179, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 394, 216, 404]}, {\"cell\": \"-\", \"bbox\": [250, 394, 254, 404]}, {\"cell\": \"19 (13.3)\", \"bbox\": [287, 394, 316, 404]}, {\"cell\": \"-\", \"bbox\": [364, 394, 368, 404]}, {\"cell\": \"19 (13.3)\", \"bbox\": [451, 394, 480, 404]}, {\"cell\": \"<b>Total (%)</b>\", \"bbox\": [1, 408, 34, 418]}, {\"cell\": \"11\", \"bbox\": [139, 408, 149, 418]}, {\"cell\": \"11\", \"bbox\": [175, 408, 185, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 408, 218, 418]}, {\"cell\": \"5\", \"bbox\": [250, 408, 256, 418]}, {\"cell\": \"109 (76.7)\", \"bbox\": [287, 408, 320, 418]}, {\"cell\": \"33 (23.2)\", \"bbox\": [364, 408, 393, 418]}, {\"cell\": \"142 (100)\", \"bbox\": [451, 408, 483, 418]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4376095_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}321{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b><underline>Category</underline></b></td><td><b><underline>Gene numbers</underline></b></td><td><b><underline>Protein</underline></b></td></tr></thead><tbody><tr><td>Chaperones</td><td>[EMPTY_CELL]</td><td>DnaK-like</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>DnaJ-like</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GroES</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GroEL</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Peptidyl prolyl isomerases</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(trigger factors)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>ClpB disaggregator</td></tr><tr><td>Stress proteins</td><td>[EMPTY_CELL]</td><td>Cold Shock</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Heat shock</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Universal stress proteins</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Tellurite resistance</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(anti_superoxide)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><underline>Category</underline></b>\", \"bbox\": [4, 4, 37, 14]}, {\"cell\": \"<b><underline>Gene numbers</underline></b>\", \"bbox\": [115, 4, 167, 14]}, {\"cell\": \"<b><underline>Protein</underline></b>\", \"bbox\": [322, 4, 349, 14]}, {\"cell\": \"Chaperones\", \"bbox\": [4, 27, 47, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 27, 191, 36]}, {\"cell\": \"DnaK-like\", \"bbox\": [322, 27, 357, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 37, 191, 47]}, {\"cell\": \"DnaJ-like\", \"bbox\": [322, 37, 354, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 47, 150, 57]}, {\"cell\": \"GroES\", \"bbox\": [322, 47, 346, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 57, 171, 67]}, {\"cell\": \"GroEL\", \"bbox\": [322, 57, 346, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 68, 214, 77]}, {\"cell\": \"Peptidyl prolyl isomerases\", \"bbox\": [322, 68, 411, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 78, 218, 88]}, {\"cell\": \"(trigger factors)\", \"bbox\": [322, 78, 377, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 88, 154, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 98, 154, 108]}, {\"cell\": \"ClpB disaggregator\", \"bbox\": [322, 98, 387, 108]}, {\"cell\": \"Stress proteins\", \"bbox\": [4, 119, 57, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 119, 210, 129]}, {\"cell\": \"Cold Shock\", \"bbox\": [322, 119, 363, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 129, 216, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 139, 154, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 150, 210, 159]}, {\"cell\": \"Heat shock\", \"bbox\": [322, 150, 362, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 160, 218, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 170, 134, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 180, 218, 190]}, {\"cell\": \"Universal stress proteins\", \"bbox\": [322, 180, 407, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 191, 134, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 201, 214, 211]}, {\"cell\": \"Tellurite resistance\", \"bbox\": [322, 201, 388, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [115, 211, 175, 221]}, {\"cell\": \"(anti_superoxide)\", \"bbox\": [322, 211, 383, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2405808_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}322{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Place of Sample Collection</b></td><td rowspan=\\\"2\\\"><b>Samples Analyzed</b></td><td><b>FB1</b></td><td><b>FB2</b></td><td><b>FB3</b></td><td><b>Total Fumonisins</b></td></tr><tr><td><b>Positive Samples/Range (μg/kg)</b></td><td><b>Positive Samples/Range (μg/kg)</b></td><td><b>Positive Samples/Range (μg/kg)</b></td><td><b>Range( μg/kg)</b></td></tr></thead><tbody><tr><td>Asad Abad</td><td>3</td><td>3/25–62</td><td>[EMPTY_CELL]</td><td>2/16–24</td><td>57–114</td></tr><tr><td>Bisotun</td><td>8</td><td>5/19–71</td><td>[EMPTY_CELL]</td><td>4/21–28</td><td>54–124</td></tr><tr><td>Eilam</td><td>2</td><td>2/22–155</td><td>[EMPTY_CELL]</td><td>nd</td><td>78–155</td></tr><tr><td>Gilan Gharb</td><td>9</td><td>9/28–85</td><td>[EMPTY_CELL]</td><td>7/25–64</td><td>91–235</td></tr><tr><td>Gorveh</td><td>6</td><td>4/85–113</td><td>[EMPTY_CELL]</td><td>2/13–26</td><td>123–173</td></tr><tr><td>Hamadan</td><td>8</td><td>5/19–41</td><td>[EMPTY_CELL]</td><td>2/18–21</td><td>49–88</td></tr><tr><td>Kamyaran</td><td>4</td><td>3/15–34</td><td>[EMPTY_CELL]</td><td>2/13–32</td><td>53–102</td></tr><tr><td>Kermanshah</td><td>6</td><td>4/85–123</td><td>[EMPTY_CELL]</td><td>1/18</td><td>118–151</td></tr><tr><td>Kangavar</td><td>3</td><td>2/65–142</td><td>[EMPTY_CELL]</td><td>nd</td><td>65–142</td></tr><tr><td>Kurdistan</td><td>7</td><td>4/15–34</td><td>[EMPTY_CELL]</td><td>3/14–23</td><td>43–82</td></tr><tr><td>Qasr Shirn</td><td>4</td><td>2/25–85</td><td>[EMPTY_CELL]</td><td>1/16</td><td>56–85</td></tr><tr><td>Ravansar</td><td>8</td><td>6/21–32</td><td>[EMPTY_CELL]</td><td>3/15–22</td><td>50–83</td></tr><tr><td>Sarpol Zohab</td><td>3</td><td>2/25–83</td><td>[EMPTY_CELL]</td><td>nd</td><td>60–83</td></tr><tr><td>Sahneh</td><td>6</td><td>4/23–36</td><td>[EMPTY_CELL]</td><td>2/15–29</td><td>54–100</td></tr><tr><td>Sonqor</td><td>5</td><td>2/18–23</td><td>[EMPTY_CELL]</td><td>nd</td><td>30–69</td></tr><tr><td>Total</td><td>82</td><td>56/15–155</td><td>[EMPTY_CELL]</td><td>26/13–64</td><td>30–235</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Place of Sample Collection</b>\", \"bbox\": [11, 17, 65, 63]}, {\"cell\": \"<b>Samples Analyzed</b>\", \"bbox\": [75, 25, 125, 55]}, {\"cell\": \"<b>FB1</b>\", \"bbox\": [158, 9, 181, 25]}, {\"cell\": \"<b>FB2</b>\", \"bbox\": [245, 9, 269, 25]}, {\"cell\": \"<b>FB3</b>\", \"bbox\": [333, 9, 357, 25]}, {\"cell\": \"<b>Total Fumonisins</b>\", \"bbox\": [402, 2, 463, 33]}, {\"cell\": \"<b>Positive Samples/Range (μg/kg)</b>\", \"bbox\": [129, 32, 210, 79]}, {\"cell\": \"<b>Positive Samples/Range (μg/kg)</b>\", \"bbox\": [217, 32, 297, 79]}, {\"cell\": \"<b>Positive Samples/Range (μg/kg)</b>\", \"bbox\": [305, 32, 385, 79]}, {\"cell\": \"<b>Range( μg/kg)</b>\", \"bbox\": [413, 40, 452, 72]}, {\"cell\": \"Asad Abad\", \"bbox\": [3, 78, 58, 94]}, {\"cell\": \"3\", \"bbox\": [96, 78, 104, 94]}, {\"cell\": \"3/25–62\", \"bbox\": [149, 77, 190, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 77, 278, 95]}, {\"cell\": \"2/16–24\", \"bbox\": [324, 77, 366, 95]}, {\"cell\": \"57–114\", \"bbox\": [414, 77, 452, 95]}, {\"cell\": \"Bisotun\", \"bbox\": [3, 93, 42, 109]}, {\"cell\": \"8\", \"bbox\": [96, 93, 104, 109]}, {\"cell\": \"5/19–71\", \"bbox\": [149, 92, 190, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 92, 278, 110]}, {\"cell\": \"4/21–28\", \"bbox\": [324, 92, 366, 110]}, {\"cell\": \"54–124\", \"bbox\": [414, 92, 452, 110]}, {\"cell\": \"Eilam\", \"bbox\": [3, 108, 33, 124]}, {\"cell\": \"2\", \"bbox\": [96, 108, 104, 124]}, {\"cell\": \"2/22–155\", \"bbox\": [146, 107, 193, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 108, 269, 124]}, {\"cell\": \"nd\", \"bbox\": [338, 108, 352, 124]}, {\"cell\": \"78–155\", \"bbox\": [414, 107, 452, 125]}, {\"cell\": \"Gilan Gharb\", \"bbox\": [3, 123, 64, 139]}, {\"cell\": \"9\", \"bbox\": [96, 123, 104, 139]}, {\"cell\": \"9/28–85\", \"bbox\": [149, 122, 190, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 122, 278, 140]}, {\"cell\": \"7/25–64\", \"bbox\": [324, 122, 366, 140]}, {\"cell\": \"91–235\", \"bbox\": [414, 122, 452, 140]}, {\"cell\": \"Gorveh\", \"bbox\": [3, 138, 41, 154]}, {\"cell\": \"6\", \"bbox\": [96, 138, 104, 154]}, {\"cell\": \"4/85–113\", \"bbox\": [146, 137, 193, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 137, 278, 155]}, {\"cell\": \"2/13–26\", \"bbox\": [324, 137, 366, 155]}, {\"cell\": \"123–173\", \"bbox\": [411, 137, 455, 155]}, {\"cell\": \"Hamadan\", \"bbox\": [3, 153, 51, 169]}, {\"cell\": \"8\", \"bbox\": [96, 153, 104, 169]}, {\"cell\": \"5/19–41\", \"bbox\": [149, 152, 190, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 152, 278, 170]}, {\"cell\": \"2/18–21\", \"bbox\": [324, 152, 366, 170]}, {\"cell\": \"49–88\", \"bbox\": [417, 152, 449, 170]}, {\"cell\": \"Kamyaran\", \"bbox\": [3, 168, 55, 184]}, {\"cell\": \"4\", \"bbox\": [96, 168, 104, 184]}, {\"cell\": \"3/15–34\", \"bbox\": [149, 167, 190, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 167, 278, 185]}, {\"cell\": \"2/13–32\", \"bbox\": [324, 167, 366, 185]}, {\"cell\": \"53–102\", \"bbox\": [414, 167, 452, 185]}, {\"cell\": \"Kermanshah\", \"bbox\": [3, 183, 65, 199]}, {\"cell\": \"6\", \"bbox\": [96, 183, 104, 199]}, {\"cell\": \"4/85–123\", \"bbox\": [146, 182, 193, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 182, 278, 200]}, {\"cell\": \"1/18\", \"bbox\": [333, 183, 357, 199]}, {\"cell\": \"118–151\", \"bbox\": [411, 182, 455, 200]}, {\"cell\": \"Kangavar\", \"bbox\": [3, 198, 51, 214]}, {\"cell\": \"3\", \"bbox\": [96, 198, 104, 214]}, {\"cell\": \"2/65–142\", \"bbox\": [146, 197, 193, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 198, 264, 214]}, {\"cell\": \"nd\", \"bbox\": [338, 198, 352, 214]}, {\"cell\": \"65–142\", \"bbox\": [414, 197, 452, 215]}, {\"cell\": \"Kurdistan\", \"bbox\": [3, 213, 52, 229]}, {\"cell\": \"7\", \"bbox\": [96, 213, 104, 229]}, {\"cell\": \"4/15–34\", \"bbox\": [149, 212, 190, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 212, 278, 230]}, {\"cell\": \"3/14–23\", \"bbox\": [324, 212, 366, 230]}, {\"cell\": \"43–82\", \"bbox\": [417, 212, 449, 230]}, {\"cell\": \"Qasr Shirn\", \"bbox\": [3, 228, 56, 244]}, {\"cell\": \"4\", \"bbox\": [96, 228, 104, 244]}, {\"cell\": \"2/25–85\", \"bbox\": [149, 227, 190, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 228, 269, 244]}, {\"cell\": \"1/16\", \"bbox\": [333, 228, 357, 244]}, {\"cell\": \"56–85\", \"bbox\": [417, 227, 449, 245]}, {\"cell\": \"Ravansar\", \"bbox\": [3, 243, 49, 259]}, {\"cell\": \"8\", \"bbox\": [96, 243, 104, 259]}, {\"cell\": \"6/21–32\", \"bbox\": [149, 242, 190, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 242, 278, 260]}, {\"cell\": \"3/15–22\", \"bbox\": [324, 242, 366, 260]}, {\"cell\": \"50–83\", \"bbox\": [417, 242, 449, 260]}, {\"cell\": \"Sarpol Zohab\", \"bbox\": [3, 258, 70, 274]}, {\"cell\": \"3\", \"bbox\": [96, 258, 104, 274]}, {\"cell\": \"2/25–83\", \"bbox\": [149, 257, 190, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 258, 269, 274]}, {\"cell\": \"nd\", \"bbox\": [338, 258, 352, 274]}, {\"cell\": \"60–83\", \"bbox\": [417, 257, 449, 275]}, {\"cell\": \"Sahneh\", \"bbox\": [3, 273, 40, 289]}, {\"cell\": \"6\", \"bbox\": [96, 273, 104, 289]}, {\"cell\": \"4/23–36\", \"bbox\": [149, 272, 190, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 272, 278, 290]}, {\"cell\": \"2/15–29\", \"bbox\": [324, 272, 366, 290]}, {\"cell\": \"54–100\", \"bbox\": [414, 272, 452, 290]}, {\"cell\": \"Sonqor\", \"bbox\": [3, 288, 39, 304]}, {\"cell\": \"5\", \"bbox\": [96, 288, 104, 304]}, {\"cell\": \"2/18–23\", \"bbox\": [149, 287, 190, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 287, 278, 305]}, {\"cell\": \"nd\", \"bbox\": [338, 288, 352, 304]}, {\"cell\": \"30–69\", \"bbox\": [417, 287, 449, 305]}, {\"cell\": \"Total\", \"bbox\": [3, 304, 30, 319]}, {\"cell\": \"82\", \"bbox\": [93, 304, 107, 319]}, {\"cell\": \"56/15–155\", \"bbox\": [143, 303, 196, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 303, 281, 320]}, {\"cell\": \"26/13–64\", \"bbox\": [321, 303, 369, 320]}, {\"cell\": \"30–235\", \"bbox\": [414, 303, 452, 320]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3153182_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}323{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>HBCx22 TamR</b></td><td><b>HBCx-17</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Luminal B</td><td>Basal-like</td></tr><tr><td>[EMPTY_CELL]</td><td>c.6405_6409del5, p.Asn2135Lysfs<sup>*</sup>3 (NM_000059.3)</td><td>c.6033_6034del, p.Ser2012GlnFs<sup>*</sup>5 (NM_000059.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>c.1704_1727del, p.Arg569_Thr576del (NM_181523.1)</td><td>Wild-type</td></tr><tr><td>[EMPTY_CELL]</td><td>Wild-type</td><td>Wild-type</td></tr><tr><td>[EMPTY_CELL]</td><td>c.314G>T, p.Cys105Phe (NM_000314.4)LOH and protein loss</td><td>Intragenic deletionLOH and protein loss</td></tr><tr><td>[EMPTY_CELL]</td><td>Cottu et al. (2014)</td><td>De Plater et al. (2010)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>HBCx22 TamR</b>\", \"bbox\": [148, 6, 215, 16]}, {\"cell\": \"<b>HBCx-17</b>\", \"bbox\": [349, 6, 391, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 23, 38, 34]}, {\"cell\": \"Luminal B\", \"bbox\": [148, 23, 193, 34]}, {\"cell\": \"Basal-like\", \"bbox\": [349, 23, 392, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 46, 116, 57]}, {\"cell\": \"c.6405_6409del5, p.Asn2135Lysfs<sup>*</sup>3 (NM_000059.3)\", \"bbox\": [148, 40, 297, 63]}, {\"cell\": \"c.6033_6034del, p.Ser2012GlnFs<sup>*</sup>5 (NM_000059.3)\", \"bbox\": [349, 40, 493, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 75, 38, 84]}, {\"cell\": \"c.1704_1727del, p.Arg569_Thr576del (NM_181523.1)\", \"bbox\": [148, 69, 304, 92]}, {\"cell\": \"Wild-type\", \"bbox\": [349, 75, 391, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 98, 39, 107]}, {\"cell\": \"Wild-type\", \"bbox\": [148, 98, 190, 109]}, {\"cell\": \"Wild-type\", \"bbox\": [349, 98, 391, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 127, 30, 136]}, {\"cell\": \"c.314G>T, p.Cys105Phe (NM_000314.4)LOH and protein loss\", \"bbox\": [148, 115, 248, 150]}, {\"cell\": \"Intragenic deletionLOH and protein loss\", \"bbox\": [349, 121, 437, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 156, 46, 167]}, {\"cell\": \"Cottu et al. (2014)\", \"bbox\": [148, 156, 223, 167]}, {\"cell\": \"De Plater et al. (2010)\", \"bbox\": [349, 156, 440, 167]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6049870_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}324{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>References</b></td><td><b>Age<sup>a</sup></b></td><td><b>Sex</b></td><td><b>Viral infection</b></td><td><b>Location of hemothorax</b></td><td><b>Source of hemorrhage</b></td><td><b>Hemostatic procedures</b></td><td><b>Outcome<sup>b</sup></b></td><td><b>Cause of death</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>71</td><td>Male</td><td>Non B</td><td>Right</td><td>Mediastinal (lymph node) metastasis</td><td><i>Nc</i></td><td>Dead (1 day)</td><td>RF, HF</td></tr><tr><td>[EMPTY_CELL]</td><td>71</td><td>Female</td><td>Non B</td><td>Right</td><td>Thoracic vertebrae metastasis</td><td><i>Nc</i></td><td>Dead (within 1 day)</td><td>Shock</td></tr><tr><td>[EMPTY_CELL]</td><td>31</td><td>Male</td><td>B</td><td>Left</td><td>Chest wall metastasis</td><td><i>Nc</i></td><td>Dead (2 months)</td><td>Cancer death</td></tr><tr><td>[EMPTY_CELL]</td><td>53</td><td>Male</td><td><i>Nd</i></td><td>Left</td><td>Rib metastasis</td><td>TAE</td><td>Dead (3 months)</td><td>Cancer death</td></tr><tr><td>[EMPTY_CELL]</td><td>67</td><td>Male</td><td>Non B</td><td>Right</td><td>Primary HCC with direct invasion<sup>c</sup></td><td><i>Nc</i></td><td>Dead (2 weeks)</td><td>HF</td></tr><tr><td>[EMPTY_CELL]</td><td>79</td><td>Male</td><td>Non B</td><td>Right</td><td>Rib metastasis</td><td><i>Nc</i></td><td>Dead (17 hours)</td><td>Shock</td></tr><tr><td>[EMPTY_CELL]</td><td>68 or 69</td><td>Male</td><td>Non B</td><td>Left</td><td>Lung metastasis</td><td><i>Nc</i></td><td>Dead (36 hours)</td><td>Shock</td></tr><tr><td>[EMPTY_CELL]</td><td>65</td><td>Male</td><td>C</td><td>Right</td><td>Primary HCC with direct invasion<sup>c</sup></td><td>TAE</td><td>Dead (3 months)</td><td>Rupture of EV</td></tr><tr><td>[EMPTY_CELL]</td><td>55 or 56</td><td>Female</td><td>Non B</td><td>Left</td><td>Pleural metastasis</td><td><i>Nc</i></td><td>Dead (2 weeks)</td><td>RF</td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>Male</td><td>C</td><td>Right</td><td>Primary HCC with direct invasion<sup>c</sup></td><td>TAE</td><td>Dead (3 months)</td><td>Cancer death</td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>Male</td><td>B & C</td><td>Right</td><td>Rib metastasis</td><td><i>Nc</i></td><td>Dead (26 hours)</td><td>RF, HF</td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>Female</td><td>C</td><td>Right</td><td>Pleural metastasis</td><td><i>Nc</i></td><td>Dead (within 1 day)</td><td>Shock</td></tr><tr><td>[EMPTY_CELL]</td><td>59</td><td>Male</td><td>C</td><td>Right</td><td>Primary HCC with direct invasion<sup>c</sup></td><td>TAE & Surgery</td><td>Dead (7 months)</td><td>Cancer death</td></tr><tr><td>[EMPTY_CELL]</td><td>68</td><td>Male</td><td>B</td><td>Right</td><td>Mediastinal lymph node metastasis</td><td>TAE</td><td>Alive (>12 months)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>Male</td><td>B</td><td>Left</td><td>Chest wall metastasis</td><td>Surgery</td><td>Dead (6 days)</td><td>MOF</td></tr><tr><td>[EMPTY_CELL]</td><td>62</td><td>Male</td><td><i>Nd</i></td><td>Right</td><td>Rib metastasis</td><td><i>Nd</i></td><td>Dead (<i>nd</i>)</td><td>Shock</td></tr><tr><td>[EMPTY_CELL]</td><td>56</td><td>Female</td><td>B</td><td>Right</td><td>Primary HCC</td><td>TAE</td><td>Alive (>2 years)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>References</b>\", \"bbox\": [1, 4, 40, 13]}, {\"cell\": \"<b>Age<sup>a</sup></b>\", \"bbox\": [56, 2, 74, 13]}, {\"cell\": \"<b>Sex</b>\", \"bbox\": [93, 4, 107, 13]}, {\"cell\": \"<b>Viral infection</b>\", \"bbox\": [126, 4, 159, 22]}, {\"cell\": \"<b>Location of hemothorax</b>\", \"bbox\": [167, 4, 211, 22]}, {\"cell\": \"<b>Source of hemorrhage</b>\", \"bbox\": [220, 4, 300, 13]}, {\"cell\": \"<b>Hemostatic procedures</b>\", \"bbox\": [309, 4, 350, 22]}, {\"cell\": \"<b>Outcome<sup>b</sup></b>\", \"bbox\": [365, 2, 402, 13]}, {\"cell\": \"<b>Cause of death</b>\", \"bbox\": [438, 4, 470, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 28, 36]}, {\"cell\": \"71\", \"bbox\": [56, 26, 65, 36]}, {\"cell\": \"Male\", \"bbox\": [93, 26, 110, 36]}, {\"cell\": \"Non B\", \"bbox\": [126, 26, 148, 36]}, {\"cell\": \"Right\", \"bbox\": [167, 26, 186, 36]}, {\"cell\": \"Mediastinal (lymph node) metastasis\", \"bbox\": [220, 26, 300, 45]}, {\"cell\": \"<i>Nc</i>\", \"bbox\": [309, 26, 319, 34]}, {\"cell\": \"Dead (1 day)\", \"bbox\": [365, 26, 408, 36]}, {\"cell\": \"RF, HF\", \"bbox\": [438, 26, 461, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 27, 59]}, {\"cell\": \"71\", \"bbox\": [56, 49, 65, 59]}, {\"cell\": \"Female\", \"bbox\": [93, 49, 118, 59]}, {\"cell\": \"Non B\", \"bbox\": [126, 49, 148, 59]}, {\"cell\": \"Right\", \"bbox\": [167, 49, 186, 59]}, {\"cell\": \"Thoracic vertebrae metastasis\", \"bbox\": [220, 49, 281, 68]}, {\"cell\": \"<i>Nc</i>\", \"bbox\": [309, 49, 319, 57]}, {\"cell\": \"Dead (within 1 day)\", \"bbox\": [365, 49, 430, 59]}, {\"cell\": \"Shock\", \"bbox\": [438, 49, 459, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 26, 82]}, {\"cell\": \"31\", \"bbox\": [56, 72, 65, 82]}, {\"cell\": \"Male\", \"bbox\": [93, 72, 110, 82]}, {\"cell\": \"B\", \"bbox\": [126, 72, 132, 82]}, {\"cell\": \"Left\", \"bbox\": [167, 72, 181, 82]}, {\"cell\": \"Chest wall metastasis\", \"bbox\": [220, 72, 290, 82]}, {\"cell\": \"<i>Nc</i>\", \"bbox\": [309, 72, 319, 80]}, {\"cell\": \"Dead (2 months)\", \"bbox\": [365, 72, 421, 82]}, {\"cell\": \"Cancer death\", \"bbox\": [438, 72, 483, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 38, 96]}, {\"cell\": \"53\", \"bbox\": [56, 86, 65, 96]}, {\"cell\": \"Male\", \"bbox\": [93, 86, 110, 96]}, {\"cell\": \"<i>Nd</i>\", \"bbox\": [126, 86, 137, 94]}, {\"cell\": \"Left\", \"bbox\": [167, 86, 181, 96]}, {\"cell\": \"Rib metastasis\", \"bbox\": [220, 86, 267, 96]}, {\"cell\": \"TAE\", \"bbox\": [309, 86, 323, 96]}, {\"cell\": \"Dead (3 months)\", \"bbox\": [365, 86, 421, 96]}, {\"cell\": \"Cancer death\", \"bbox\": [438, 86, 483, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 38, 110]}, {\"cell\": \"67\", \"bbox\": [56, 100, 65, 110]}, {\"cell\": \"Male\", \"bbox\": [93, 100, 110, 110]}, {\"cell\": \"Non B\", \"bbox\": [126, 100, 148, 110]}, {\"cell\": \"Right\", \"bbox\": [167, 100, 186, 110]}, {\"cell\": \"Primary HCC with direct invasion<sup>c</sup>\", \"bbox\": [220, 100, 279, 119]}, {\"cell\": \"<i>Nc</i>\", \"bbox\": [309, 100, 319, 108]}, {\"cell\": \"Dead (2 weeks)\", \"bbox\": [365, 100, 416, 110]}, {\"cell\": \"HF\", \"bbox\": [438, 100, 449, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 36, 133]}, {\"cell\": \"79\", \"bbox\": [56, 123, 65, 133]}, {\"cell\": \"Male\", \"bbox\": [93, 123, 110, 133]}, {\"cell\": \"Non B\", \"bbox\": [126, 123, 148, 133]}, {\"cell\": \"Right\", \"bbox\": [167, 123, 186, 133]}, {\"cell\": \"Rib metastasis\", \"bbox\": [220, 123, 267, 133]}, {\"cell\": \"<i>Nc</i>\", \"bbox\": [309, 123, 319, 131]}, {\"cell\": \"Dead (17 hours)\", \"bbox\": [365, 123, 418, 133]}, {\"cell\": \"Shock\", \"bbox\": [438, 123, 459, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 137, 43, 147]}, {\"cell\": \"68 or 69\", \"bbox\": [56, 137, 84, 147]}, {\"cell\": \"Male\", \"bbox\": [93, 137, 110, 147]}, {\"cell\": \"Non B\", \"bbox\": [126, 137, 148, 147]}, {\"cell\": \"Left\", \"bbox\": [167, 137, 181, 147]}, {\"cell\": \"Lung metastasis\", \"bbox\": [220, 137, 273, 147]}, {\"cell\": \"<i>Nc</i>\", \"bbox\": [309, 137, 319, 145]}, {\"cell\": \"Dead (36 hours)\", \"bbox\": [365, 137, 418, 147]}, {\"cell\": \"Shock\", \"bbox\": [438, 137, 459, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 151, 33, 161]}, {\"cell\": \"65\", \"bbox\": [56, 151, 65, 161]}, {\"cell\": \"Male\", \"bbox\": [93, 151, 110, 161]}, {\"cell\": \"C\", \"bbox\": [126, 151, 133, 161]}, {\"cell\": \"Right\", \"bbox\": [167, 151, 186, 161]}, {\"cell\": \"Primary HCC with direct invasion<sup>c</sup>\", \"bbox\": [220, 151, 279, 170]}, {\"cell\": \"TAE\", \"bbox\": [309, 151, 323, 161]}, {\"cell\": \"Dead (3 months)\", \"bbox\": [365, 151, 421, 161]}, {\"cell\": \"Rupture of EV\", \"bbox\": [438, 151, 484, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 174, 37, 184]}, {\"cell\": \"55 or 56\", \"bbox\": [56, 174, 84, 184]}, {\"cell\": \"Female\", \"bbox\": [93, 174, 118, 184]}, {\"cell\": \"Non B\", \"bbox\": [126, 174, 148, 184]}, {\"cell\": \"Left\", \"bbox\": [167, 174, 181, 184]}, {\"cell\": \"Pleural metastasis\", \"bbox\": [220, 174, 278, 184]}, {\"cell\": \"<i>Nc</i>\", \"bbox\": [309, 174, 319, 182]}, {\"cell\": \"Dead (2 weeks)\", \"bbox\": [365, 174, 416, 184]}, {\"cell\": \"RF\", \"bbox\": [438, 174, 448, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 188, 47, 198]}, {\"cell\": \"64\", \"bbox\": [56, 188, 65, 198]}, {\"cell\": \"Male\", \"bbox\": [93, 188, 110, 198]}, {\"cell\": \"C\", \"bbox\": [126, 188, 133, 198]}, {\"cell\": \"Right\", \"bbox\": [167, 188, 186, 198]}, {\"cell\": \"Primary HCC with direct invasion<sup>c</sup>\", \"bbox\": [220, 188, 279, 207]}, {\"cell\": \"TAE\", \"bbox\": [309, 188, 323, 198]}, {\"cell\": \"Dead (3 months)\", \"bbox\": [365, 188, 421, 198]}, {\"cell\": \"Cancer death\", \"bbox\": [438, 188, 483, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 211, 36, 221]}, {\"cell\": \"64\", \"bbox\": [56, 211, 65, 221]}, {\"cell\": \"Male\", \"bbox\": [93, 211, 110, 221]}, {\"cell\": \"B & C\", \"bbox\": [126, 211, 146, 221]}, {\"cell\": \"Right\", \"bbox\": [167, 211, 186, 221]}, {\"cell\": \"Rib metastasis\", \"bbox\": [220, 211, 267, 221]}, {\"cell\": \"<i>Nc</i>\", \"bbox\": [309, 211, 319, 219]}, {\"cell\": \"Dead (26 hours)\", \"bbox\": [365, 211, 418, 221]}, {\"cell\": \"RF, HF\", \"bbox\": [438, 211, 461, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 38, 235]}, {\"cell\": \"64\", \"bbox\": [56, 225, 65, 235]}, {\"cell\": \"Female\", \"bbox\": [93, 225, 118, 235]}, {\"cell\": \"C\", \"bbox\": [126, 225, 133, 235]}, {\"cell\": \"Right\", \"bbox\": [167, 225, 186, 235]}, {\"cell\": \"Pleural metastasis\", \"bbox\": [220, 225, 278, 235]}, {\"cell\": \"<i>Nc</i>\", \"bbox\": [309, 225, 319, 233]}, {\"cell\": \"Dead (within 1 day)\", \"bbox\": [365, 225, 430, 235]}, {\"cell\": \"Shock\", \"bbox\": [438, 225, 459, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 40, 249]}, {\"cell\": \"59\", \"bbox\": [56, 239, 65, 249]}, {\"cell\": \"Male\", \"bbox\": [93, 239, 110, 249]}, {\"cell\": \"C\", \"bbox\": [126, 239, 133, 249]}, {\"cell\": \"Right\", \"bbox\": [167, 239, 186, 249]}, {\"cell\": \"Primary HCC with direct invasion<sup>c</sup>\", \"bbox\": [220, 239, 279, 258]}, {\"cell\": \"TAE & Surgery\", \"bbox\": [309, 239, 356, 249]}, {\"cell\": \"Dead (7 months)\", \"bbox\": [365, 239, 421, 249]}, {\"cell\": \"Cancer death\", \"bbox\": [438, 239, 483, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 262, 47, 272]}, {\"cell\": \"68\", \"bbox\": [56, 262, 65, 272]}, {\"cell\": \"Male\", \"bbox\": [93, 262, 110, 272]}, {\"cell\": \"B\", \"bbox\": [126, 262, 132, 272]}, {\"cell\": \"Right\", \"bbox\": [167, 262, 186, 272]}, {\"cell\": \"Mediastinal lymph node metastasis\", \"bbox\": [220, 262, 280, 281]}, {\"cell\": \"TAE\", \"bbox\": [309, 262, 323, 272]}, {\"cell\": \"Alive (>12 months)\", \"bbox\": [365, 262, 428, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 285, 29, 295]}, {\"cell\": \"42\", \"bbox\": [56, 285, 65, 295]}, {\"cell\": \"Male\", \"bbox\": [93, 285, 110, 295]}, {\"cell\": \"B\", \"bbox\": [126, 285, 132, 295]}, {\"cell\": \"Left\", \"bbox\": [167, 285, 181, 295]}, {\"cell\": \"Chest wall metastasis\", \"bbox\": [220, 285, 290, 295]}, {\"cell\": \"Surgery\", \"bbox\": [309, 285, 335, 295]}, {\"cell\": \"Dead (6 days)\", \"bbox\": [365, 285, 411, 295]}, {\"cell\": \"MOF\", \"bbox\": [438, 285, 456, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 299, 28, 309]}, {\"cell\": \"62\", \"bbox\": [56, 299, 65, 309]}, {\"cell\": \"Male\", \"bbox\": [93, 299, 110, 309]}, {\"cell\": \"<i>Nd</i>\", \"bbox\": [126, 299, 137, 307]}, {\"cell\": \"Right\", \"bbox\": [167, 299, 186, 309]}, {\"cell\": \"Rib metastasis\", \"bbox\": [220, 299, 267, 309]}, {\"cell\": \"<i>Nd</i>\", \"bbox\": [309, 299, 320, 307]}, {\"cell\": \"Dead (<i>nd</i>)\", \"bbox\": [365, 299, 398, 309]}, {\"cell\": \"Shock\", \"bbox\": [438, 299, 459, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 313, 30, 323]}, {\"cell\": \"56\", \"bbox\": [56, 313, 65, 323]}, {\"cell\": \"Female\", \"bbox\": [93, 313, 118, 323]}, {\"cell\": \"B\", \"bbox\": [126, 313, 132, 323]}, {\"cell\": \"Right\", \"bbox\": [167, 313, 186, 323]}, {\"cell\": \"Primary HCC\", \"bbox\": [220, 313, 262, 323]}, {\"cell\": \"TAE\", \"bbox\": [309, 313, 323, 323]}, {\"cell\": \"Alive (>2 years)\", \"bbox\": [365, 313, 416, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3499276_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}325{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Year 1 Category</b></td><td colspan=\\\"3\\\"><b>Year 1 IE (n=1289)</b></td><td colspan=\\\"3\\\"><b>Year 1 FE (n=543)</b></td></tr><tr><td><b>Year 2 Category</b></td><td><b>Stayed as IE (n=1068)</b></td><td><b>Change to FE (n=221)</b></td><td><b>p-value</b></td><td><b>Stayed as FE (n=333)</b></td><td><b>Change to IE (n=210)</b></td><td><b>p-value</b></td></tr><tr><td colspan=\\\"7\\\"><b>Change in patient measures (year 1 assessment – baseline)</b></td></tr></thead><tbody><tr><td>BMI (kg/m2)</td><td>0.0 (1.4)</td><td>0.0 (1.1)</td><td>0.750</td><td>-0.1 (1.4)</td><td>[EMPTY_CELL]</td><td>0.589</td></tr><tr><td>FEV1 (mL)</td><td>14 (233)</td><td>-46 (184)</td><td><0.001</td><td>-32 (180)</td><td>[EMPTY_CELL]</td><td>0.543</td></tr><tr><td>FEV1 % predicted</td><td>0.4 (7.7)</td><td>-1.6 (6.9)</td><td><0.001</td><td>-1.1 (6.4)</td><td>[EMPTY_CELL]</td><td>0.690</td></tr><tr><td>FEV1/FVC %</td><td>-0.1 (5.8)</td><td>-0.4 (5.2)</td><td>0.534</td><td>-0.3 (6.0)</td><td>[EMPTY_CELL]</td><td>0.250</td></tr><tr><td>*Changed smoking status</td><td>6%</td><td>9%</td><td>0.053</td><td>6%</td><td>[EMPTY_CELL]</td><td>0.153</td></tr><tr><td>*Re-Started smoking (%)</td><td>5%</td><td>9%</td><td>0.051</td><td>4%</td><td>[EMPTY_CELL]</td><td>0.726</td></tr><tr><td>*Stopped smoking (%)</td><td>7%</td><td>10%</td><td>0.448</td><td>9%</td><td>[EMPTY_CELL]</td><td>0.125</td></tr><tr><td>6-min walk distance (m)</td><td>10 (90)</td><td>-5 (85)</td><td>0.036</td><td>-6 (94)</td><td>[EMPTY_CELL]</td><td>0.568</td></tr><tr><td>Blood oxygen saturation (%)</td><td>0.0 (2.9)</td><td>-0.1 (3.0)</td><td>0.478</td><td>-0.3 (3.3)</td><td>[EMPTY_CELL]</td><td>0.713</td></tr><tr><td>mMRC Dyspnoea Score</td><td>0.0 (0.9)</td><td>0.0 (1.0)</td><td>0.682</td><td>0.1 (1.0)</td><td>[EMPTY_CELL]</td><td>0.691</td></tr><tr><td>SGRQ Total Score</td><td>--2.0 (10.6)</td><td>--1.9 (12.1)</td><td>0.879</td><td>-0.1 (9.9)</td><td>[EMPTY_CELL]</td><td>0.986</td></tr><tr><td>BODE Index</td><td>0.0 (1.2)</td><td>0.1 (1.3)</td><td>0.138</td><td>0.2 (1.5)</td><td>[EMPTY_CELL]</td><td>0.424</td></tr><tr><td>White blood cells (10^9/L)</td><td>-0.3 (1.6)</td><td>-0.2 (1.9)</td><td>0.606</td><td>0.0 (2.3)</td><td>[EMPTY_CELL]</td><td>0.289</td></tr><tr><td>Neutrophils (10^9/L)</td><td>-0.2 (1.5)</td><td>-0.2 (1.9)</td><td>0.894</td><td>0.2 (2.3)</td><td>[EMPTY_CELL]</td><td>0.232</td></tr><tr><td>Platelets (10^9/L)</td><td>-7 (47)</td><td>-11 (41)</td><td>0.238</td><td>-5 (51)</td><td>[EMPTY_CELL]</td><td>0.014</td></tr><tr><td>Fibrinogen (mg/dL)</td><td>-6 [-51, 36]</td><td>0 [-38, 41]</td><td>0.151</td><td>5 [-41,58]</td><td>[EMPTY_CELL]</td><td>0.109</td></tr><tr><td>CRP (mg/dL)</td><td>0.1 [-1.3, 1.5]</td><td>0.0 [-1.8, 2.1]</td><td>0.999</td><td>0.3 [-1.4,3.0]</td><td>[EMPTY_CELL]</td><td>0.083</td></tr><tr><td>SP-D (ng/mL)</td><td>0 [-18, 20]</td><td>0 [-23, 26]</td><td>0.654</td><td>-1 [-24, 24]</td><td>[EMPTY_CELL]</td><td>0.806</td></tr><tr><td>PARC/CCL-18 (ng/mL)</td><td>6 [-6, 21]</td><td>6 [-9, 23]</td><td>0.628</td><td>9 [-6, 27]</td><td>[EMPTY_CELL]</td><td>0.114</td></tr><tr><td colspan=\\\"7\\\">Change between the number of events in year 1 and in year 2</td></tr><tr><td>PPPY COPD Hosp. Year 2</td><td>0.07</td><td>0.57</td><td><0.001</td><td>0.68</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>PPPY OCS only exbs Y2</td><td>0.04</td><td>0.25</td><td><0.001</td><td>0.37</td><td>[EMPTY_CELL]</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Year 1 Category</b>\", \"bbox\": [1, 4, 58, 13]}, {\"cell\": \"<b>Year 1 IE (n=1289)</b>\", \"bbox\": [162, 4, 228, 13]}, {\"cell\": \"<b>Year 1 FE (n=543)</b>\", \"bbox\": [359, 4, 422, 13]}, {\"cell\": \"<b>Year 2 Category</b>\", \"bbox\": [1, 17, 58, 27]}, {\"cell\": \"<b>Stayed as IE (n=1068)</b>\", \"bbox\": [98, 17, 175, 27]}, {\"cell\": \"<b>Change to FE (n=221)</b>\", \"bbox\": [181, 17, 258, 27]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [263, 17, 291, 27]}, {\"cell\": \"<b>Stayed as FE (n=333)</b>\", \"bbox\": [296, 17, 371, 27]}, {\"cell\": \"<b>Change to IE (n=210)</b>\", \"bbox\": [376, 17, 452, 27]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [457, 17, 484, 27]}, {\"cell\": \"<b>Change in patient measures (year 1 assessment – baseline)</b>\", \"bbox\": [139, 30, 346, 40]}, {\"cell\": \"BMI (kg/m2)\", \"bbox\": [1, 43, 42, 53]}, {\"cell\": \"0.0 (1.4)\", \"bbox\": [124, 43, 150, 53]}, {\"cell\": \"0.0 (1.1)\", \"bbox\": [206, 43, 233, 53]}, {\"cell\": \"0.750\", \"bbox\": [268, 43, 286, 53]}, {\"cell\": \"-0.1 (1.4)\", \"bbox\": [318, 43, 349, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 43, 429, 53]}, {\"cell\": \"0.589\", \"bbox\": [461, 43, 480, 53]}, {\"cell\": \"FEV1 (mL)\", \"bbox\": [1, 57, 34, 67]}, {\"cell\": \"14 (233)\", \"bbox\": [123, 57, 151, 67]}, {\"cell\": \"-46 (184)\", \"bbox\": [203, 57, 236, 67]}, {\"cell\": \"<0.001\", \"bbox\": [265, 57, 289, 67]}, {\"cell\": \"-32 (180)\", \"bbox\": [317, 57, 350, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 57, 430, 67]}, {\"cell\": \"0.543\", \"bbox\": [461, 57, 480, 67]}, {\"cell\": \"FEV1 % predicted\", \"bbox\": [1, 71, 59, 81]}, {\"cell\": \"0.4 (7.7)\", \"bbox\": [124, 71, 150, 81]}, {\"cell\": \"-1.6 (6.9)\", \"bbox\": [204, 71, 235, 81]}, {\"cell\": \"<0.001\", \"bbox\": [265, 71, 289, 81]}, {\"cell\": \"-1.1 (6.4)\", \"bbox\": [318, 71, 349, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 71, 429, 81]}, {\"cell\": \"0.690\", \"bbox\": [461, 71, 480, 81]}, {\"cell\": \"FEV1/FVC %\", \"bbox\": [1, 85, 41, 95]}, {\"cell\": \"-0.1 (5.8)\", \"bbox\": [121, 85, 153, 95]}, {\"cell\": \"-0.4 (5.2)\", \"bbox\": [204, 85, 235, 95]}, {\"cell\": \"0.534\", \"bbox\": [268, 85, 286, 95]}, {\"cell\": \"-0.3 (6.0)\", \"bbox\": [318, 85, 349, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 85, 429, 95]}, {\"cell\": \"0.250\", \"bbox\": [461, 85, 480, 95]}, {\"cell\": \"*Changed smoking status\", \"bbox\": [1, 99, 85, 109]}, {\"cell\": \"6%\", \"bbox\": [131, 99, 143, 109]}, {\"cell\": \"9%\", \"bbox\": [214, 99, 225, 109]}, {\"cell\": \"0.053\", \"bbox\": [268, 99, 286, 109]}, {\"cell\": \"6%\", \"bbox\": [328, 99, 339, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 99, 420, 109]}, {\"cell\": \"0.153\", \"bbox\": [461, 99, 480, 109]}, {\"cell\": \"*Re-Started smoking (%)\", \"bbox\": [1, 113, 80, 123]}, {\"cell\": \"5%\", \"bbox\": [131, 113, 143, 123]}, {\"cell\": \"9%\", \"bbox\": [214, 113, 225, 123]}, {\"cell\": \"0.051\", \"bbox\": [268, 113, 286, 123]}, {\"cell\": \"4%\", \"bbox\": [328, 113, 339, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 113, 420, 123]}, {\"cell\": \"0.726\", \"bbox\": [461, 113, 480, 123]}, {\"cell\": \"*Stopped smoking (%)\", \"bbox\": [1, 127, 75, 137]}, {\"cell\": \"7%\", \"bbox\": [131, 127, 143, 137]}, {\"cell\": \"10%\", \"bbox\": [212, 127, 227, 137]}, {\"cell\": \"0.448\", \"bbox\": [268, 127, 286, 137]}, {\"cell\": \"9%\", \"bbox\": [328, 127, 339, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 127, 422, 137]}, {\"cell\": \"0.125\", \"bbox\": [461, 127, 480, 137]}, {\"cell\": \"6-min walk distance (m)\", \"bbox\": [1, 141, 80, 151]}, {\"cell\": \"10 (90)\", \"bbox\": [125, 141, 149, 151]}, {\"cell\": \"-5 (85)\", \"bbox\": [207, 141, 232, 151]}, {\"cell\": \"0.036\", \"bbox\": [268, 141, 286, 151]}, {\"cell\": \"-6 (94)\", \"bbox\": [321, 141, 346, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 141, 426, 151]}, {\"cell\": \"0.568\", \"bbox\": [461, 141, 480, 151]}, {\"cell\": \"Blood oxygen saturation (%)\", \"bbox\": [1, 155, 93, 165]}, {\"cell\": \"0.0 (2.9)\", \"bbox\": [124, 155, 150, 165]}, {\"cell\": \"-0.1 (3.0)\", \"bbox\": [204, 155, 235, 165]}, {\"cell\": \"0.478\", \"bbox\": [268, 155, 286, 165]}, {\"cell\": \"-0.3 (3.3)\", \"bbox\": [318, 155, 349, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 155, 429, 165]}, {\"cell\": \"0.713\", \"bbox\": [461, 155, 480, 165]}, {\"cell\": \"mMRC Dyspnoea Score\", \"bbox\": [1, 169, 78, 179]}, {\"cell\": \"0.0 (0.9)\", \"bbox\": [124, 169, 150, 179]}, {\"cell\": \"0.0 (1.0)\", \"bbox\": [206, 169, 233, 179]}, {\"cell\": \"0.682\", \"bbox\": [268, 169, 286, 179]}, {\"cell\": \"0.1 (1.0)\", \"bbox\": [320, 169, 347, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 169, 427, 179]}, {\"cell\": \"0.691\", \"bbox\": [461, 169, 480, 179]}, {\"cell\": \"SGRQ Total Score\", \"bbox\": [1, 183, 58, 193]}, {\"cell\": \"--2.0 (10.6)\", \"bbox\": [120, 183, 154, 193]}, {\"cell\": \"--1.9 (12.1)\", \"bbox\": [202, 183, 237, 193]}, {\"cell\": \"0.879\", \"bbox\": [268, 183, 286, 193]}, {\"cell\": \"-0.1 (9.9)\", \"bbox\": [318, 183, 349, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 183, 431, 193]}, {\"cell\": \"0.986\", \"bbox\": [461, 183, 480, 193]}, {\"cell\": \"BODE Index\", \"bbox\": [1, 197, 41, 207]}, {\"cell\": \"0.0 (1.2)\", \"bbox\": [124, 197, 150, 207]}, {\"cell\": \"0.1 (1.3)\", \"bbox\": [206, 197, 233, 207]}, {\"cell\": \"0.138\", \"bbox\": [268, 197, 286, 207]}, {\"cell\": \"0.2 (1.5)\", \"bbox\": [320, 197, 347, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 197, 427, 207]}, {\"cell\": \"0.424\", \"bbox\": [461, 197, 480, 207]}, {\"cell\": \"White blood cells (10^9/L)\", \"bbox\": [1, 211, 87, 221]}, {\"cell\": \"-0.3 (1.6)\", \"bbox\": [121, 211, 153, 221]}, {\"cell\": \"-0.2 (1.9)\", \"bbox\": [204, 211, 235, 221]}, {\"cell\": \"0.606\", \"bbox\": [268, 211, 286, 221]}, {\"cell\": \"0.0 (2.3)\", \"bbox\": [320, 211, 347, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 211, 429, 221]}, {\"cell\": \"0.289\", \"bbox\": [461, 211, 480, 221]}, {\"cell\": \"Neutrophils (10^9/L)\", \"bbox\": [1, 225, 68, 235]}, {\"cell\": \"-0.2 (1.5)\", \"bbox\": [121, 225, 153, 235]}, {\"cell\": \"-0.2 (1.9)\", \"bbox\": [204, 225, 235, 235]}, {\"cell\": \"0.894\", \"bbox\": [268, 225, 286, 235]}, {\"cell\": \"0.2 (2.3)\", \"bbox\": [320, 225, 347, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 225, 429, 235]}, {\"cell\": \"0.232\", \"bbox\": [461, 225, 480, 235]}, {\"cell\": \"Platelets (10^9/L)\", \"bbox\": [1, 239, 58, 249]}, {\"cell\": \"-7 (47)\", \"bbox\": [125, 239, 149, 249]}, {\"cell\": \"-11 (41)\", \"bbox\": [205, 239, 234, 249]}, {\"cell\": \"0.238\", \"bbox\": [268, 239, 286, 249]}, {\"cell\": \"-5 (51)\", \"bbox\": [321, 239, 346, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 239, 428, 249]}, {\"cell\": \"0.014\", \"bbox\": [461, 239, 480, 249]}, {\"cell\": \"Fibrinogen (mg/dL)\", \"bbox\": [1, 253, 65, 263]}, {\"cell\": \"-6 [-51, 36]\", \"bbox\": [116, 253, 157, 263]}, {\"cell\": \"0 [-38, 41]\", \"bbox\": [201, 253, 237, 263]}, {\"cell\": \"0.151\", \"bbox\": [268, 253, 286, 263]}, {\"cell\": \"5 [-41,58]\", \"bbox\": [317, 253, 350, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 253, 434, 263]}, {\"cell\": \"0.109\", \"bbox\": [461, 253, 480, 263]}, {\"cell\": \"CRP (mg/dL)\", \"bbox\": [1, 267, 43, 277]}, {\"cell\": \"0.1 [-1.3, 1.5]\", \"bbox\": [115, 267, 159, 277]}, {\"cell\": \"0.0 [-1.8, 2.1]\", \"bbox\": [197, 267, 241, 277]}, {\"cell\": \"0.999\", \"bbox\": [268, 267, 286, 277]}, {\"cell\": \"0.3 [-1.4,3.0]\", \"bbox\": [313, 267, 354, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [390, 267, 438, 277]}, {\"cell\": \"0.083\", \"bbox\": [461, 267, 480, 277]}, {\"cell\": \"SP-D (ng/mL)\", \"bbox\": [0, 281, 46, 291]}, {\"cell\": \"0 [-18, 20]\", \"bbox\": [119, 281, 155, 291]}, {\"cell\": \"0 [-23, 26]\", \"bbox\": [201, 281, 237, 291]}, {\"cell\": \"0.654\", \"bbox\": [268, 281, 286, 291]}, {\"cell\": \"-1 [-24, 24]\", \"bbox\": [313, 281, 354, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 281, 432, 291]}, {\"cell\": \"0.806\", \"bbox\": [461, 281, 480, 291]}, {\"cell\": \"PARC/CCL-18 (ng/mL)\", \"bbox\": [1, 295, 73, 305]}, {\"cell\": \"6 [-6, 21]\", \"bbox\": [121, 295, 153, 305]}, {\"cell\": \"6 [-9, 23]\", \"bbox\": [203, 295, 236, 305]}, {\"cell\": \"0.628\", \"bbox\": [268, 295, 286, 305]}, {\"cell\": \"9 [-6, 27]\", \"bbox\": [317, 295, 350, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 295, 430, 305]}, {\"cell\": \"0.114\", \"bbox\": [461, 295, 480, 305]}, {\"cell\": \"Change between the number of events in year 1 and in year 2\", \"bbox\": [140, 309, 345, 319]}, {\"cell\": \"PPPY COPD Hosp. Year 2\", \"bbox\": [0, 323, 82, 333]}, {\"cell\": \"0.07\", \"bbox\": [129, 323, 144, 333]}, {\"cell\": \"0.57\", \"bbox\": [212, 323, 227, 333]}, {\"cell\": \"<0.001\", \"bbox\": [265, 323, 289, 333]}, {\"cell\": \"0.68\", \"bbox\": [326, 323, 341, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 323, 421, 333]}, {\"cell\": \"<0.001\", \"bbox\": [459, 323, 482, 333]}, {\"cell\": \"PPPY OCS only exbs Y2\", \"bbox\": [0, 337, 77, 347]}, {\"cell\": \"0.04\", \"bbox\": [129, 337, 144, 347]}, {\"cell\": \"0.25\", \"bbox\": [212, 337, 227, 347]}, {\"cell\": \"<0.001\", \"bbox\": [265, 337, 289, 347]}, {\"cell\": \"0.37\", \"bbox\": [326, 337, 341, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 337, 421, 347]}, {\"cell\": \"<0.001\", \"bbox\": [459, 337, 482, 347]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3733814_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}326{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene name</b></td><td><b>Primers and probes</b></td></tr></thead><tbody><tr><td>18S</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>GAPDH</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>COL1A1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>COL1A2</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>CTGF</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>IGF1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>IL6</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>IL6R</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TGFb1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TGFb2</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TGFb3</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene name</b>\", \"bbox\": [1, 4, 21, 24]}, {\"cell\": \"<b>Primers and probes</b>\", \"bbox\": [34, 4, 103, 15]}, {\"cell\": \"18S\", \"bbox\": [1, 33, 16, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 33, 206, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 43, 227, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 52, 113, 63]}, {\"cell\": \"GAPDH\", \"bbox\": [1, 62, 27, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 62, 200, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 71, 214, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 81, 219, 100]}, {\"cell\": \"COL1A1\", \"bbox\": [0, 100, 30, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 100, 212, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 109, 190, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 119, 211, 129]}, {\"cell\": \"COL1A2\", \"bbox\": [1, 128, 30, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 128, 230, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 138, 200, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 147, 113, 157]}, {\"cell\": \"CTGF\", \"bbox\": [1, 157, 20, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 157, 227, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 166, 217, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 175, 113, 186]}, {\"cell\": \"IGF1\", \"bbox\": [1, 185, 18, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 185, 212, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 194, 211, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 204, 113, 214]}, {\"cell\": \"IL6\", \"bbox\": [1, 213, 13, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 213, 209, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 223, 233, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 232, 113, 243]}, {\"cell\": \"IL6R\", \"bbox\": [1, 242, 19, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 242, 194, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 251, 195, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 261, 228, 281]}, {\"cell\": \"TGFb1\", \"bbox\": [0, 280, 24, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 280, 216, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 289, 209, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 299, 113, 309]}, {\"cell\": \"TGFb2\", \"bbox\": [0, 308, 24, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 308, 207, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 318, 226, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 327, 113, 337]}, {\"cell\": \"TGFb3\", \"bbox\": [0, 337, 24, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 337, 199, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 346, 209, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 356, 113, 366]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3558793_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}327{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Peptides/Proteins</b></td><td><b>Residues</b></td><td><b>Charge (+)</b></td><td><b>PI</b></td><td><b>Structures</b></td><td><b>GRAVY</b></td><td><b>References</b></td></tr></thead><tbody><tr><td>Hc-CATH</td><td>30</td><td>12</td><td>12.61</td><td>α-helix </td><td>[EMPTY_CELL]</td><td>[18]</td></tr><tr><td>Chrysophsin-1, 2, and 3</td><td>25, 25, 20</td><td>5, 5, 4</td><td>NN</td><td>α-helix</td><td>[EMPTY_CELL]</td><td>[19] </td></tr><tr><td>Chrysophsin-1 variants</td><td>25</td><td>5</td><td>NN</td><td>α-helix</td><td>[EMPTY_CELL]</td><td>[20]</td></tr><tr><td>ALP1, ALP2</td><td>17</td><td>6, 4</td><td>11.35, 9.3 <sup>a</sup></td><td>β-sheet</td><td>[EMPTY_CELL]</td><td>[33]</td></tr><tr><td>Arenicins-1, 2, and 3</td><td>21</td><td>6, 6, 4</td><td>10.83, 10.85, 9.25 <sup>a</sup></td><td>β-sheet, β-turn</td><td>[EMPTY_CELL]</td><td>[26,35]</td></tr><tr><td>NZ17074</td><td>21</td><td>4</td><td>9.37</td><td>β-sheet</td><td>[EMPTY_CELL]</td><td>[36]</td></tr><tr><td>N2</td><td>21</td><td>4</td><td>9.38</td><td>α-helix, β-sheet</td><td>[EMPTY_CELL]</td><td>[36]</td></tr><tr><td>N6</td><td>21</td><td>4</td><td>10.72</td><td>α-helix, β-sheet</td><td>[EMPTY_CELL]</td><td>[36]</td></tr><tr><td>CNC, N6NH2</td><td>32, 21</td><td>12, 5</td><td>NN, 11.64</td><td>NN, β-sheet</td><td>[EMPTY_CELL]</td><td>No publication <sup>b</sup></td></tr><tr><td>Ogipeptins A, B, C, and D</td><td>NN</td><td>NN</td><td>NN</td><td>Cyclic peptides</td><td>[EMPTY_CELL]</td><td>[38]</td></tr><tr><td>Pa4</td><td>33</td><td>1</td><td>8.59</td><td>α-helix </td><td>[EMPTY_CELL]</td><td>[49]</td></tr><tr><td>LALF</td><td>101</td><td>9</td><td>10.09</td><td>α-helix, β-sheet</td><td>[EMPTY_CELL]</td><td>[40]</td></tr><tr><td>Piscidins-1, -2, and -3</td><td>22</td><td>3.4</td><td>12.01 <sup>a</sup></td><td>Random structure</td><td>[EMPTY_CELL]</td><td>[50]</td></tr><tr><td>Hydrostatin-TL1 and -SN1</td><td>9</td><td>NN</td><td>NN</td><td>α-helix</td><td>[EMPTY_CELL]</td><td>[22,23,24]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Peptides/Proteins</b>\", \"bbox\": [19, 4, 75, 12]}, {\"cell\": \"<b>Residues</b>\", \"bbox\": [96, 4, 126, 12]}, {\"cell\": \"<b>Charge (+)</b>\", \"bbox\": [133, 4, 167, 12]}, {\"cell\": \"<b>PI</b>\", \"bbox\": [198, 4, 207, 12]}, {\"cell\": \"<b>Structures</b>\", \"bbox\": [252, 4, 285, 12]}, {\"cell\": \"<b>GRAVY</b>\", \"bbox\": [330, 4, 356, 12]}, {\"cell\": \"<b>References</b>\", \"bbox\": [394, 4, 430, 12]}, {\"cell\": \"Hc-CATH\", \"bbox\": [31, 16, 63, 24]}, {\"cell\": \"30\", \"bbox\": [106, 16, 115, 24]}, {\"cell\": \"12\", \"bbox\": [145, 16, 154, 24]}, {\"cell\": \"12.61\", \"bbox\": [194, 16, 211, 24]}, {\"cell\": \"α-helix \", \"bbox\": [257, 16, 280, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 16, 354, 24]}, {\"cell\": \"[18]\", \"bbox\": [405, 16, 419, 24]}, {\"cell\": \"Chrysophsin-1, 2, and 3\", \"bbox\": [11, 24, 83, 33]}, {\"cell\": \"25, 25, 20\", \"bbox\": [96, 24, 125, 33]}, {\"cell\": \"5, 5, 4\", \"bbox\": [140, 24, 159, 33]}, {\"cell\": \"NN\", \"bbox\": [196, 24, 209, 33]}, {\"cell\": \"α-helix\", \"bbox\": [257, 24, 280, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 24, 350, 33]}, {\"cell\": \"[19] \", \"bbox\": [405, 24, 419, 33]}, {\"cell\": \"Chrysophsin-1 variants\", \"bbox\": [11, 32, 83, 41]}, {\"cell\": \"25\", \"bbox\": [106, 32, 115, 41]}, {\"cell\": \"5\", \"bbox\": [147, 32, 152, 41]}, {\"cell\": \"NN\", \"bbox\": [196, 32, 209, 41]}, {\"cell\": \"α-helix\", \"bbox\": [257, 32, 280, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 32, 350, 41]}, {\"cell\": \"[20]\", \"bbox\": [405, 32, 419, 41]}, {\"cell\": \"ALP1, ALP2\", \"bbox\": [27, 40, 66, 49]}, {\"cell\": \"17\", \"bbox\": [106, 40, 115, 49]}, {\"cell\": \"6, 4\", \"bbox\": [144, 40, 156, 49]}, {\"cell\": \"11.35, 9.3 <sup>a</sup>\", \"bbox\": [186, 39, 219, 49]}, {\"cell\": \"β-sheet\", \"bbox\": [257, 40, 281, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [320, 39, 366, 49]}, {\"cell\": \"[33]\", \"bbox\": [405, 40, 419, 49]}, {\"cell\": \"Arenicins-1, 2, and 3\", \"bbox\": [15, 49, 78, 57]}, {\"cell\": \"21\", \"bbox\": [106, 49, 115, 57]}, {\"cell\": \"6, 6, 4\", \"bbox\": [140, 49, 159, 57]}, {\"cell\": \"10.83, 10.85, 9.25 <sup>a</sup>\", \"bbox\": [175, 47, 230, 57]}, {\"cell\": \"β-sheet, β-turn\", \"bbox\": [245, 49, 292, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 47, 379, 57]}, {\"cell\": \"[26,35]\", \"bbox\": [401, 49, 423, 57]}, {\"cell\": \"NZ17074\", \"bbox\": [32, 57, 61, 66]}, {\"cell\": \"21\", \"bbox\": [106, 57, 115, 66]}, {\"cell\": \"4\", \"bbox\": [147, 57, 152, 66]}, {\"cell\": \"9.37\", \"bbox\": [196, 57, 209, 66]}, {\"cell\": \"β-sheet\", \"bbox\": [257, 57, 281, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 57, 354, 66]}, {\"cell\": \"[36]\", \"bbox\": [405, 57, 419, 66]}, {\"cell\": \"N2\", \"bbox\": [41, 65, 52, 74]}, {\"cell\": \"21\", \"bbox\": [106, 65, 115, 74]}, {\"cell\": \"4\", \"bbox\": [147, 65, 152, 74]}, {\"cell\": \"9.38\", \"bbox\": [196, 65, 209, 74]}, {\"cell\": \"α-helix, β-sheet\", \"bbox\": [244, 65, 293, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 65, 354, 74]}, {\"cell\": \"[36]\", \"bbox\": [405, 65, 419, 74]}, {\"cell\": \"N6\", \"bbox\": [41, 73, 52, 82]}, {\"cell\": \"21\", \"bbox\": [106, 73, 115, 82]}, {\"cell\": \"4\", \"bbox\": [147, 73, 152, 82]}, {\"cell\": \"10.72\", \"bbox\": [194, 73, 211, 82]}, {\"cell\": \"α-helix, β-sheet\", \"bbox\": [244, 73, 293, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 73, 354, 82]}, {\"cell\": \"[36]\", \"bbox\": [405, 73, 419, 82]}, {\"cell\": \"CNC, N6NH2\", \"bbox\": [25, 82, 69, 91]}, {\"cell\": \"32, 21\", \"bbox\": [101, 82, 120, 91]}, {\"cell\": \"12, 5\", \"bbox\": [142, 82, 157, 91]}, {\"cell\": \"NN, 11.64\", \"bbox\": [187, 82, 218, 91]}, {\"cell\": \"NN, β-sheet\", \"bbox\": [249, 82, 288, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 82, 350, 91]}, {\"cell\": \"No publication <sup>b</sup>\", \"bbox\": [386, 81, 437, 91]}, {\"cell\": \"Ogipeptins A, B, C, and D\", \"bbox\": [7, 90, 86, 99]}, {\"cell\": \"NN\", \"bbox\": [104, 90, 117, 99]}, {\"cell\": \"NN\", \"bbox\": [143, 90, 156, 99]}, {\"cell\": \"NN\", \"bbox\": [196, 90, 209, 99]}, {\"cell\": \"Cyclic peptides\", \"bbox\": [245, 90, 293, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 90, 350, 99]}, {\"cell\": \"[38]\", \"bbox\": [405, 90, 419, 99]}, {\"cell\": \"Pa4\", \"bbox\": [40, 99, 53, 107]}, {\"cell\": \"33\", \"bbox\": [106, 99, 115, 107]}, {\"cell\": \"1\", \"bbox\": [147, 99, 152, 107]}, {\"cell\": \"8.59\", \"bbox\": [196, 99, 209, 107]}, {\"cell\": \"α-helix \", \"bbox\": [257, 99, 280, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 99, 352, 107]}, {\"cell\": \"[49]\", \"bbox\": [405, 99, 419, 107]}, {\"cell\": \"LALF\", \"bbox\": [37, 107, 56, 116]}, {\"cell\": \"101\", \"bbox\": [104, 107, 116, 116]}, {\"cell\": \"9\", \"bbox\": [147, 107, 152, 116]}, {\"cell\": \"10.09\", \"bbox\": [194, 107, 211, 116]}, {\"cell\": \"α-helix, β-sheet\", \"bbox\": [244, 107, 293, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 107, 354, 116]}, {\"cell\": \"[40]\", \"bbox\": [405, 107, 419, 116]}, {\"cell\": \"Piscidins-1, -2, and -3\", \"bbox\": [14, 115, 79, 124]}, {\"cell\": \"22\", \"bbox\": [106, 115, 115, 124]}, {\"cell\": \"3.4\", \"bbox\": [144, 115, 155, 124]}, {\"cell\": \"12.01 <sup>a</sup>\", \"bbox\": [192, 114, 213, 124]}, {\"cell\": \"Random structure\", \"bbox\": [241, 115, 297, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 115, 353, 124]}, {\"cell\": \"[50]\", \"bbox\": [405, 115, 419, 124]}, {\"cell\": \"Hydrostatin-TL1 and -SN1\", \"bbox\": [6, 123, 88, 132]}, {\"cell\": \"9\", \"bbox\": [108, 123, 113, 132]}, {\"cell\": \"NN\", \"bbox\": [143, 123, 156, 132]}, {\"cell\": \"NN\", \"bbox\": [196, 123, 209, 132]}, {\"cell\": \"α-helix\", \"bbox\": [257, 123, 280, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 123, 350, 132]}, {\"cell\": \"[22,23,24]\", \"bbox\": [400, 123, 424, 132]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5852485_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}328{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Total sample</b></td><td colspan=\\\"2\\\"><b>Boys</b></td><td colspan=\\\"2\\\"><b>Girls</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Variable</b></td><td><b><i>M</i></b></td><td><b><i>SD</i></b></td><td><b><i>M</i></b></td><td><b><i>SD</i></b></td><td><b><i>M</i></b></td><td><b><i>SD</i></b></td><td><b><i>t</i>(df)</b></td><td><b><i>p</i></b></td><td><b><i>Hedges' g</i></b></td></tr></thead><tbody><tr><td>Age (years)</td><td>10.92</td><td>.42</td><td>10.92</td><td>.40</td><td>10.91</td><td>[EMPTY_CELL]</td><td>-.23 (609)</td><td>.82</td><td>-.02</td></tr><tr><td>SDQ<sup>1 </sup>- Conduct problems</td><td>2.25</td><td>1.70</td><td>2.45</td><td>1.73</td><td>2.07</td><td>[EMPTY_CELL]</td><td>-2.85 (650)</td><td>.01</td><td>-.22</td></tr><tr><td>SDQ - Peer problems</td><td>1.91</td><td>1.74</td><td>1.97</td><td>1.83</td><td>1.88</td><td>[EMPTY_CELL]</td><td>-.61 (650)</td><td>.54</td><td>-.05</td></tr><tr><td>SDQ - Prosocial</td><td>7.99</td><td>1.70</td><td>7.52</td><td>1.78</td><td>8.38</td><td>[EMPTY_CELL]</td><td>6.50 (586.38<sup>4</sup>)</td><td>.00</td><td>.52</td></tr><tr><td>Social acceptance</td><td>3.05</td><td>.64</td><td>3.05</td><td>.65</td><td>3.06</td><td>[EMPTY_CELL]</td><td>.18 (650)</td><td>.84</td><td>.02</td></tr><tr><td>Mean MVPA<sup>2 </sup>per day (min)</td><td>35.82</td><td>17.43</td><td>42.23</td><td>19.22</td><td>30.28</td><td>[EMPTY_CELL]</td><td>-9.08 (509.60<sup>4</sup>)</td><td>.00</td><td>-.73</td></tr><tr><td>Mean CPM<sup>3 </sup>per day</td><td>543.75</td><td>168.07</td><td>592.27</td><td>173.22</td><td>501.56</td><td>[EMPTY_CELL]</td><td>-7.06 (589.13<sup>4</sup>)</td><td>.00</td><td>-.56</td></tr><tr><td>Mean MVPA after school per day (min)</td><td>10.13</td><td>6.65</td><td>11.63</td><td>7.54</td><td>8.82</td><td>[EMPTY_CELL]</td><td>-5.32 (516.44<sup>4</sup>)</td><td>.00</td><td>-.43</td></tr><tr><td>Mean CPM after school per day</td><td>663.33</td><td>322.68</td><td>700.40</td><td>329.49</td><td>630.98</td><td>[EMPTY_CELL]</td><td>-2.71 (633)</td><td>.01</td><td>-.22</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total sample</b>\", \"bbox\": [152, 4, 198, 13]}, {\"cell\": \"<b>Boys</b>\", \"bbox\": [237, 4, 256, 13]}, {\"cell\": \"<b>Girls</b>\", \"bbox\": [309, 4, 326, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Variable</b>\", \"bbox\": [54, 17, 84, 27]}, {\"cell\": \"<b><i>M</i></b>\", \"bbox\": [153, 17, 161, 27]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [187, 17, 198, 27]}, {\"cell\": \"<b><i>M</i></b>\", \"bbox\": [224, 17, 233, 27]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [259, 17, 270, 27]}, {\"cell\": \"<b><i>M</i></b>\", \"bbox\": [296, 17, 304, 27]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [330, 17, 341, 27]}, {\"cell\": \"<b><i>t</i>(df)</b>\", \"bbox\": [375, 17, 392, 27]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [423, 17, 429, 27]}, {\"cell\": \"<b><i>Hedges' g</i></b>\", \"bbox\": [445, 17, 480, 27]}, {\"cell\": \"Age (years)\", \"bbox\": [50, 30, 88, 40]}, {\"cell\": \"10.92\", \"bbox\": [148, 30, 166, 40]}, {\"cell\": \".42\", \"bbox\": [187, 30, 198, 40]}, {\"cell\": \"10.92\", \"bbox\": [219, 30, 238, 40]}, {\"cell\": \".40\", \"bbox\": [259, 30, 270, 40]}, {\"cell\": \"10.91\", \"bbox\": [291, 30, 309, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 30, 341, 40]}, {\"cell\": \"-.23 (609)\", \"bbox\": [368, 30, 399, 40]}, {\"cell\": \".82\", \"bbox\": [420, 30, 431, 40]}, {\"cell\": \"-.02\", \"bbox\": [456, 30, 469, 40]}, {\"cell\": \"SDQ<sup>1 </sup>- Conduct problems\", \"bbox\": [26, 41, 112, 52]}, {\"cell\": \"2.25\", \"bbox\": [150, 42, 165, 52]}, {\"cell\": \"1.70\", \"bbox\": [185, 42, 200, 52]}, {\"cell\": \"2.45\", \"bbox\": [221, 42, 236, 52]}, {\"cell\": \"1.73\", \"bbox\": [257, 42, 272, 52]}, {\"cell\": \"2.07\", \"bbox\": [292, 42, 307, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 42, 343, 52]}, {\"cell\": \"-2.85 (650)\", \"bbox\": [366, 42, 401, 52]}, {\"cell\": \".01\", \"bbox\": [420, 42, 431, 52]}, {\"cell\": \"-.22\", \"bbox\": [456, 42, 469, 52]}, {\"cell\": \"SDQ - Peer problems\", \"bbox\": [34, 54, 104, 64]}, {\"cell\": \"1.91\", \"bbox\": [150, 54, 165, 64]}, {\"cell\": \"1.74\", \"bbox\": [185, 54, 200, 64]}, {\"cell\": \"1.97\", \"bbox\": [221, 54, 236, 64]}, {\"cell\": \"1.83\", \"bbox\": [257, 54, 272, 64]}, {\"cell\": \"1.88\", \"bbox\": [292, 54, 307, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 54, 343, 64]}, {\"cell\": \"-.61 (650)\", \"bbox\": [368, 54, 399, 64]}, {\"cell\": \".54\", \"bbox\": [420, 54, 431, 64]}, {\"cell\": \"-.05\", \"bbox\": [456, 54, 469, 64]}, {\"cell\": \"SDQ - Prosocial\", \"bbox\": [43, 66, 95, 76]}, {\"cell\": \"7.99\", \"bbox\": [150, 66, 165, 76]}, {\"cell\": \"1.70\", \"bbox\": [185, 66, 200, 76]}, {\"cell\": \"7.52\", \"bbox\": [221, 66, 236, 76]}, {\"cell\": \"1.78\", \"bbox\": [257, 66, 272, 76]}, {\"cell\": \"8.38\", \"bbox\": [292, 66, 307, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 66, 343, 76]}, {\"cell\": \"6.50 (586.38<sup>4</sup>)\", \"bbox\": [361, 65, 406, 76]}, {\"cell\": \".00\", \"bbox\": [420, 66, 431, 76]}, {\"cell\": \".52\", \"bbox\": [457, 66, 468, 76]}, {\"cell\": \"Social acceptance\", \"bbox\": [39, 78, 98, 88]}, {\"cell\": \"3.05\", \"bbox\": [150, 78, 165, 88]}, {\"cell\": \".64\", \"bbox\": [187, 78, 198, 88]}, {\"cell\": \"3.05\", \"bbox\": [221, 78, 236, 88]}, {\"cell\": \".65\", \"bbox\": [259, 78, 270, 88]}, {\"cell\": \"3.06\", \"bbox\": [292, 78, 307, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 78, 341, 88]}, {\"cell\": \".18 (650)\", \"bbox\": [369, 78, 398, 88]}, {\"cell\": \".84\", \"bbox\": [420, 78, 431, 88]}, {\"cell\": \".02\", \"bbox\": [457, 78, 468, 88]}, {\"cell\": \"Mean MVPA<sup>2 </sup>per day (min)\", \"bbox\": [24, 89, 114, 100]}, {\"cell\": \"35.82\", \"bbox\": [148, 90, 166, 100]}, {\"cell\": \"17.43\", \"bbox\": [183, 90, 202, 100]}, {\"cell\": \"42.23\", \"bbox\": [219, 90, 238, 100]}, {\"cell\": \"19.22\", \"bbox\": [255, 90, 273, 100]}, {\"cell\": \"30.28\", \"bbox\": [291, 90, 309, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 90, 345, 100]}, {\"cell\": \"-9.08 (509.60<sup>4</sup>)\", \"bbox\": [360, 89, 407, 100]}, {\"cell\": \".00\", \"bbox\": [420, 90, 431, 100]}, {\"cell\": \"-.73\", \"bbox\": [456, 90, 469, 100]}, {\"cell\": \"Mean CPM<sup>3 </sup>per day\", \"bbox\": [35, 100, 102, 112]}, {\"cell\": \"543.75\", \"bbox\": [146, 102, 168, 112]}, {\"cell\": \"168.07\", \"bbox\": [182, 102, 204, 112]}, {\"cell\": \"592.27\", \"bbox\": [217, 102, 240, 112]}, {\"cell\": \"173.22\", \"bbox\": [253, 102, 275, 112]}, {\"cell\": \"501.56\", \"bbox\": [289, 102, 311, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 102, 347, 112]}, {\"cell\": \"-7.06 (589.13<sup>4</sup>)\", \"bbox\": [360, 100, 407, 112]}, {\"cell\": \".00\", \"bbox\": [420, 102, 431, 112]}, {\"cell\": \"-.56\", \"bbox\": [456, 102, 469, 112]}, {\"cell\": \"Mean MVPA after school per day (min)\", \"bbox\": [5, 114, 133, 124]}, {\"cell\": \"10.13\", \"bbox\": [148, 114, 166, 124]}, {\"cell\": \"6.65\", \"bbox\": [185, 114, 200, 124]}, {\"cell\": \"11.63\", \"bbox\": [219, 114, 238, 124]}, {\"cell\": \"7.54\", \"bbox\": [257, 114, 272, 124]}, {\"cell\": \"8.82\", \"bbox\": [292, 114, 307, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 114, 343, 124]}, {\"cell\": \"-5.32 (516.44<sup>4</sup>)\", \"bbox\": [360, 112, 407, 124]}, {\"cell\": \".00\", \"bbox\": [420, 114, 431, 124]}, {\"cell\": \"-.43\", \"bbox\": [456, 114, 469, 124]}, {\"cell\": \"Mean CPM after school per day\", \"bbox\": [17, 126, 121, 136]}, {\"cell\": \"663.33\", \"bbox\": [146, 126, 168, 136]}, {\"cell\": \"322.68\", \"bbox\": [182, 126, 204, 136]}, {\"cell\": \"700.40\", \"bbox\": [217, 126, 240, 136]}, {\"cell\": \"329.49\", \"bbox\": [253, 126, 275, 136]}, {\"cell\": \"630.98\", \"bbox\": [289, 126, 311, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 126, 347, 136]}, {\"cell\": \"-2.71 (633)\", \"bbox\": [366, 126, 401, 136]}, {\"cell\": \".01\", \"bbox\": [420, 126, 431, 136]}, {\"cell\": \"-.22\", \"bbox\": [456, 126, 469, 136]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3195695_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}329{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>Forward</b></td><td><b>Reverse</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>GATGCCCCCATGTTTGTGAT</td><td>GGTCATGAGCCCTTCCACAAT</td></tr><tr><td>[EMPTY_CELL]</td><td>GCGGAAGAAAACGGCTCAA</td><td>TCCCGTGGTGGACATAGCA</td></tr><tr><td>[EMPTY_CELL]</td><td>GTCCCAGCGTCGTGATTAGC</td><td>TCATGACATCTCGAGCAAGTCTTT</td></tr><tr><td>[EMPTY_CELL]</td><td>ACCGAGACCAACCGAGTCAT</td><td>CTCGGATCCCAAAAGAAGCTT</td></tr><tr><td>[EMPTY_CELL]</td><td>GTCTGTGCGCCGAAGTCAA</td><td>GCCCGGAAGAAGACCATTC</td></tr><tr><td>[EMPTY_CELL]</td><td>CAGCGGCCTCAACAATGTCT</td><td>ATTCGGATTTCAGGCTCAAGGT</td></tr><tr><td>[EMPTY_CELL]</td><td>GCCTCTCTAGGACTGACGCAAA</td><td>TGGTGACTGTGGCGAGTTACA</td></tr><tr><td>[EMPTY_CELL]</td><td>GATGGACTCCAGCCCTTCAG</td><td>TGGAGAGGGTGAGGCTCTGT</td></tr><tr><td>[EMPTY_CELL]</td><td>GGTGGACGACCCGATGAGT</td><td>GCGATCTGCAGGTCCAAGAT</td></tr><tr><td>[EMPTY_CELL]</td><td>GAAATCCTGCAGCGTGTCATAG</td><td>AAAGCTCCTCTTGTCCTTGGAGAT</td></tr><tr><td>[EMPTY_CELL]</td><td>TCCCCTTGTCGTCATGGTTAC</td><td>TTGAATTTGATCCCAGAGAAAGC</td></tr><tr><td>[EMPTY_CELL]</td><td>ATGCCCAGCATACACTCTCTTGT</td><td>ATAAATACCAGAGAAGCACCGTGAA</td></tr><tr><td>[EMPTY_CELL]</td><td>CCTTTGCCCCAGATGCCTAT</td><td>GGGATCAACCGGTGACATAATG</td></tr><tr><td>[EMPTY_CELL]</td><td>AGAAGCCCAACAAGTGCATGTT</td><td>GGTCGCTGGAGTTGCTGAAG</td></tr><tr><td>[EMPTY_CELL]</td><td>TGCACCTCTTCCATCTTCTCATT</td><td>TTCCCGTTCTTGTGCATATTCAT</td></tr><tr><td>[EMPTY_CELL]</td><td>AAGAAGGGTACATTGAGCGGAAA</td><td>AGGAGCTCACATTGTCAATAGGATT</td></tr><tr><td>[EMPTY_CELL]</td><td>ACCAAGGTCCAGGCTCGAA</td><td>GCATCTTGTCGTACCATCTCCTTT</td></tr><tr><td>[EMPTY_CELL]</td><td>AAGAGTGACATGAGTGCCATTGTC</td><td>GAAGCCCTCCACGTGTGTGTA</td></tr><tr><td>[EMPTY_CELL]</td><td>AAGCTGTGGTTCACCCGATTC</td><td>GGGCAAAGACATCTGGTAGACAGT</td></tr><tr><td>[EMPTY_CELL]</td><td>GTGGTGTTGATTGACGATGATGTAG</td><td>ACCCCCATTGAGAAACTCCAT</td></tr><tr><td>[EMPTY_CELL]</td><td>AGGAGCCAAGAGTTAAAGAAATCTAAAA</td><td>TTTCCCATAGGATAGATGTGCCTAA</td></tr><tr><td>[EMPTY_CELL]</td><td>CAATGCCCAATGCCATCTG</td><td>ACTTCACCTCCTTCACTGGGTATC</td></tr><tr><td>[EMPTY_CELL]</td><td>CCATGTCTCTATTGTACGCGAGAA</td><td>AAGATGCCCCTGGAGAATGTG</td></tr><tr><td>[EMPTY_CELL]</td><td>AAACGTGCCCACTATCGACAT</td><td>CGGACGACGAAGGCTAGATC</td></tr><tr><td>[EMPTY_CELL]</td><td>TTAGCATCTTCCTCAGCCTCCTT</td><td>GAGCATTTTTATCCCCAATCAGAA</td></tr><tr><td>[EMPTY_CELL]</td><td>AGCTGAGACCTGGAGAATTTGTAGTT</td><td>TAGCGTCTGTCTGAATGTAGTCCAT</td></tr><tr><td>[EMPTY_CELL]</td><td>GCTGCAATCACGGAGTTTGTT</td><td>GTCTTCTCCGGGCTTTCTACAC</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [41, 4, 61, 12]}, {\"cell\": \"<b>Forward</b>\", \"bbox\": [188, 4, 218, 12]}, {\"cell\": \"<b>Reverse</b>\", \"bbox\": [380, 4, 409, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 17, 67, 26]}, {\"cell\": \"GATGCCCCCATGTTTGTGAT\", \"bbox\": [159, 17, 247, 26]}, {\"cell\": \"GGTCATGAGCCCTTCCACAAT\", \"bbox\": [347, 17, 441, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [38, 29, 65, 38]}, {\"cell\": \"GCGGAAGAAAACGGCTCAA\", \"bbox\": [158, 29, 248, 38]}, {\"cell\": \"TCCCGTGGTGGACATAGCA\", \"bbox\": [351, 29, 438, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 41, 64, 50]}, {\"cell\": \"GTCCCAGCGTCGTGATTAGC\", \"bbox\": [158, 41, 248, 50]}, {\"cell\": \"TCATGACATCTCGAGCAAGTCTTT\", \"bbox\": [342, 41, 447, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 53, 62, 62]}, {\"cell\": \"ACCGAGACCAACCGAGTCAT\", \"bbox\": [157, 53, 249, 62]}, {\"cell\": \"CTCGGATCCCAAAAGAAGCTT\", \"bbox\": [346, 53, 442, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 65, 59, 74]}, {\"cell\": \"GTCTGTGCGCCGAAGTCAA\", \"bbox\": [160, 65, 246, 74]}, {\"cell\": \"GCCCGGAAGAAGACCATTC\", \"bbox\": [350, 65, 438, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 77, 59, 86]}, {\"cell\": \"CAGCGGCCTCAACAATGTCT\", \"bbox\": [158, 77, 248, 86]}, {\"cell\": \"ATTCGGATTTCAGGCTCAAGGT\", \"bbox\": [345, 77, 443, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 89, 59, 98]}, {\"cell\": \"GCCTCTCTAGGACTGACGCAAA\", \"bbox\": [153, 89, 253, 98]}, {\"cell\": \"TGGTGACTGTGGCGAGTTACA\", \"bbox\": [347, 89, 442, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 101, 57, 110]}, {\"cell\": \"GATGGACTCCAGCCCTTCAG\", \"bbox\": [158, 101, 248, 110]}, {\"cell\": \"TGGAGAGGGTGAGGCTCTGT\", \"bbox\": [348, 101, 440, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 113, 57, 122]}, {\"cell\": \"GGTGGACGACCCGATGAGT\", \"bbox\": [159, 113, 247, 122]}, {\"cell\": \"GCGATCTGCAGGTCCAAGAT\", \"bbox\": [348, 113, 440, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 125, 57, 134]}, {\"cell\": \"GAAATCCTGCAGCGTGTCATAG\", \"bbox\": [153, 125, 253, 134]}, {\"cell\": \"AAAGCTCCTCTTGTCCTTGGAGAT\", \"bbox\": [341, 125, 447, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [44, 137, 58, 146]}, {\"cell\": \"TCCCCTTGTCGTCATGGTTAC\", \"bbox\": [157, 137, 249, 146]}, {\"cell\": \"TTGAATTTGATCCCAGAGAAAGC\", \"bbox\": [343, 137, 446, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 149, 62, 158]}, {\"cell\": \"ATGCCCAGCATACACTCTCTTGT\", \"bbox\": [152, 149, 254, 158]}, {\"cell\": \"ATAAATACCAGAGAAGCACCGTGAA\", \"bbox\": [336, 149, 452, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [42, 161, 61, 170]}, {\"cell\": \"CCTTTGCCCCAGATGCCTAT\", \"bbox\": [159, 161, 247, 170]}, {\"cell\": \"GGGATCAACCGGTGACATAATG\", \"bbox\": [344, 161, 445, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 173, 60, 182]}, {\"cell\": \"AGAAGCCCAACAAGTGCATGTT\", \"bbox\": [153, 173, 253, 182]}, {\"cell\": \"GGTCGCTGGAGTTGCTGAAG\", \"bbox\": [348, 173, 440, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 185, 60, 194]}, {\"cell\": \"TGCACCTCTTCCATCTTCTCATT\", \"bbox\": [154, 185, 252, 194]}, {\"cell\": \"TTCCCGTTCTTGTGCATATTCAT\", \"bbox\": [345, 185, 443, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 197, 62, 206]}, {\"cell\": \"AAGAAGGGTACATTGAGCGGAAA\", \"bbox\": [149, 197, 257, 206]}, {\"cell\": \"AGGAGCTCACATTGTCAATAGGATT\", \"bbox\": [338, 197, 450, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 208, 59, 218]}, {\"cell\": \"ACCAAGGTCCAGGCTCGAA\", \"bbox\": [159, 208, 247, 218]}, {\"cell\": \"GCATCTTGTCGTACCATCTCCTTT\", \"bbox\": [343, 208, 446, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 220, 59, 230]}, {\"cell\": \"AAGAGTGACATGAGTGCCATTGTC\", \"bbox\": [149, 220, 257, 230]}, {\"cell\": \"GAAGCCCTCCACGTGTGTGTA\", \"bbox\": [347, 220, 442, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 232, 59, 242]}, {\"cell\": \"AAGCTGTGGTTCACCCGATTC\", \"bbox\": [156, 232, 250, 242]}, {\"cell\": \"GGGCAAAGACATCTGGTAGACAGT\", \"bbox\": [339, 232, 449, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 244, 60, 254]}, {\"cell\": \"GTGGTGTTGATTGACGATGATGTAG\", \"bbox\": [147, 244, 259, 254]}, {\"cell\": \"ACCCCCATTGAGAAACTCCAT\", \"bbox\": [347, 244, 441, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 256, 61, 266]}, {\"cell\": \"AGGAGCCAAGAGTTAAAGAAATCTAAAA\", \"bbox\": [139, 256, 267, 266]}, {\"cell\": \"TTTCCCATAGGATAGATGTGCCTAA\", \"bbox\": [339, 256, 449, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 268, 58, 278]}, {\"cell\": \"CAATGCCCAATGCCATCTG\", \"bbox\": [160, 268, 246, 278]}, {\"cell\": \"ACTTCACCTCCTTCACTGGGTATC\", \"bbox\": [342, 268, 446, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 280, 61, 290]}, {\"cell\": \"CCATGTCTCTATTGTACGCGAGAA\", \"bbox\": [150, 280, 256, 290]}, {\"cell\": \"AAGATGCCCCTGGAGAATGTG\", \"bbox\": [346, 280, 442, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 292, 61, 301]}, {\"cell\": \"AAACGTGCCCACTATCGACAT\", \"bbox\": [155, 292, 250, 301]}, {\"cell\": \"CGGACGACGAAGGCTAGATC\", \"bbox\": [347, 292, 441, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 304, 61, 313]}, {\"cell\": \"TTAGCATCTTCCTCAGCCTCCTT\", \"bbox\": [154, 304, 252, 313]}, {\"cell\": \"GAGCATTTTTATCCCCAATCAGAA\", \"bbox\": [341, 304, 447, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [42, 316, 61, 325]}, {\"cell\": \"AGCTGAGACCTGGAGAATTTGTAGTT\", \"bbox\": [145, 316, 261, 325]}, {\"cell\": \"TAGCGTCTGTCTGAATGTAGTCCAT\", \"bbox\": [339, 316, 449, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 328, 69, 337]}, {\"cell\": \"GCTGCAATCACGGAGTTTGTT\", \"bbox\": [156, 328, 250, 337]}, {\"cell\": \"GTCTTCTCCGGGCTTTCTACAC\", \"bbox\": [346, 328, 442, 337]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3196718_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}330{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Stroke type</b></td><td><b>Exacerbation frequency</b></td><td><b>Cases (%)</b></td><td><b>Controls (%)</b></td><td><b>Crude ORa (95% CI)</b></td><td><b>Adjusted ORb (95% CI)</b></td></tr></thead><tbody><tr><td>All stroke</td><td>[EMPTY_CELL]</td><td><b>n</b>=<b>6,431</b></td><td><b>n</b>=<b>19,292</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4,709 (73.2)</td><td>13,864 (71.9)</td><td>1</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1,722 (26.8)</td><td>5,428 (28.1)</td><td>0.94 (0.88–1.00)</td><td>0.95 (0.89–1.01)</td></tr><tr><td>Ischemic</td><td>[EMPTY_CELL]</td><td><b>n</b>=<b>1,262</b></td><td><b>n</b>=<b>3,786</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>944 (74.8)</td><td>2,769 (73.1)</td><td>1</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>318 (25.2)</td><td>1,017 (26.9)</td><td>0.93 (0.79–1.07)</td><td>0.93 (0.81–1.08)</td></tr><tr><td>Hemorrhagic</td><td>[EMPTY_CELL]</td><td><b>n</b>=<b>420</b></td><td><b>n</b>=<b>1,260</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>331 (78.8)</td><td>900 (71.4)</td><td>1</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>89 (21.2)</td><td>360 (28.6)</td><td>0.68 (0.52–0.88)</td><td>0.67 (0.51–0.88)</td></tr><tr><td>TIA</td><td>[EMPTY_CELL]</td><td><b>n</b>=<b>2,457</b></td><td><b>n</b>=<b>7,371</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1,758 (71.6)</td><td>5,254 (71.3)</td><td>1</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>699 (28.5)</td><td>2,117 (28.7)</td><td>0.99 (0.89–1.09)</td><td>1.00 (0.90–1.11)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Stroke type</b>\", \"bbox\": [1, 4, 46, 14]}, {\"cell\": \"<b>Exacerbation frequency</b>\", \"bbox\": [72, 4, 162, 14]}, {\"cell\": \"<b>Cases (%)</b>\", \"bbox\": [181, 4, 219, 14]}, {\"cell\": \"<b>Controls (%)</b>\", \"bbox\": [240, 4, 289, 14]}, {\"cell\": \"<b>Crude ORa (95% CI)</b>\", \"bbox\": [308, 4, 384, 14]}, {\"cell\": \"<b>Adjusted ORb (95% CI)</b>\", \"bbox\": [403, 4, 490, 14]}, {\"cell\": \"All stroke\", \"bbox\": [1, 18, 35, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n</b>=<b>6,431</b>\", \"bbox\": [181, 16, 212, 29]}, {\"cell\": \"<b>n</b>=<b>19,292</b>\", \"bbox\": [240, 16, 276, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 29, 107, 39]}, {\"cell\": \"4,709 (73.2)\", \"bbox\": [181, 29, 222, 39]}, {\"cell\": \"13,864 (71.9)\", \"bbox\": [240, 29, 285, 39]}, {\"cell\": \"1\", \"bbox\": [308, 29, 314, 39]}, {\"cell\": \"1\", \"bbox\": [403, 29, 409, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 40, 103, 50]}, {\"cell\": \"1,722 (26.8)\", \"bbox\": [181, 40, 222, 50]}, {\"cell\": \"5,428 (28.1)\", \"bbox\": [240, 40, 281, 50]}, {\"cell\": \"0.94 (0.88–1.00)\", \"bbox\": [308, 40, 362, 50]}, {\"cell\": \"0.95 (0.89–1.01)\", \"bbox\": [403, 40, 457, 50]}, {\"cell\": \"Ischemic\", \"bbox\": [1, 51, 30, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n</b>=<b>1,262</b>\", \"bbox\": [181, 50, 212, 62]}, {\"cell\": \"<b>n</b>=<b>3,786</b>\", \"bbox\": [240, 50, 271, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 63, 107, 73]}, {\"cell\": \"944 (74.8)\", \"bbox\": [181, 63, 216, 73]}, {\"cell\": \"2,769 (73.1)\", \"bbox\": [240, 63, 281, 73]}, {\"cell\": \"1\", \"bbox\": [308, 63, 314, 73]}, {\"cell\": \"1\", \"bbox\": [403, 63, 409, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 74, 103, 84]}, {\"cell\": \"318 (25.2)\", \"bbox\": [181, 74, 216, 84]}, {\"cell\": \"1,017 (26.9)\", \"bbox\": [240, 74, 281, 84]}, {\"cell\": \"0.93 (0.79–1.07)\", \"bbox\": [308, 74, 362, 84]}, {\"cell\": \"0.93 (0.81–1.08)\", \"bbox\": [403, 74, 457, 84]}, {\"cell\": \"Hemorrhagic\", \"bbox\": [1, 85, 45, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n</b>=<b>420</b>\", \"bbox\": [181, 84, 205, 96]}, {\"cell\": \"<b>n</b>=<b>1,260</b>\", \"bbox\": [240, 84, 271, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 97, 107, 107]}, {\"cell\": \"331 (78.8)\", \"bbox\": [181, 97, 216, 107]}, {\"cell\": \"900 (71.4)\", \"bbox\": [240, 97, 275, 107]}, {\"cell\": \"1\", \"bbox\": [308, 97, 314, 107]}, {\"cell\": \"1\", \"bbox\": [403, 97, 409, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 108, 103, 118]}, {\"cell\": \"89 (21.2)\", \"bbox\": [181, 108, 212, 118]}, {\"cell\": \"360 (28.6)\", \"bbox\": [240, 108, 275, 118]}, {\"cell\": \"0.68 (0.52–0.88)\", \"bbox\": [308, 108, 362, 118]}, {\"cell\": \"0.67 (0.51–0.88)\", \"bbox\": [403, 108, 457, 118]}, {\"cell\": \"TIA\", \"bbox\": [1, 119, 15, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n</b>=<b>2,457</b>\", \"bbox\": [181, 117, 212, 130]}, {\"cell\": \"<b>n</b>=<b>7,371</b>\", \"bbox\": [240, 117, 271, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 131, 107, 140]}, {\"cell\": \"1,758 (71.6)\", \"bbox\": [181, 131, 222, 140]}, {\"cell\": \"5,254 (71.3)\", \"bbox\": [240, 131, 281, 140]}, {\"cell\": \"1\", \"bbox\": [308, 131, 314, 140]}, {\"cell\": \"1\", \"bbox\": [403, 131, 409, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 142, 103, 151]}, {\"cell\": \"699 (28.5)\", \"bbox\": [181, 142, 216, 151]}, {\"cell\": \"2,117 (28.7)\", \"bbox\": [240, 142, 281, 151]}, {\"cell\": \"0.99 (0.89–1.09)\", \"bbox\": [308, 142, 362, 151]}, {\"cell\": \"1.00 (0.90–1.11)\", \"bbox\": [403, 142, 457, 151]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4745831_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}331{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Top 20</b></td><td><b>Symbol</b></td><td><b>Ratio (Bach1<sup>-/-</sup> : wild)</b></td><td><b>Top 20</b></td><td><b>Symbol</b></td><td><b>Normalized expression level</b></td></tr></thead><tbody><tr><td>1</td><td>LOC635992</td><td>5.82</td><td>1</td><td>[EMPTY_CELL]</td><td>23704</td></tr><tr><td>2</td><td>Mllt3</td><td>5.79</td><td>2</td><td>[EMPTY_CELL]</td><td>21177</td></tr><tr><td>3</td><td>4930481F22Rik</td><td>4.69</td><td>3</td><td>[EMPTY_CELL]</td><td>18945</td></tr><tr><td>4</td><td>Unknown</td><td>4.31</td><td>4</td><td>[EMPTY_CELL]</td><td>18837</td></tr><tr><td>5</td><td>Tnfrsf26</td><td>4.29</td><td>5</td><td>[EMPTY_CELL]</td><td>18423</td></tr><tr><td>6</td><td>Nlrp4d</td><td>4.19</td><td>6</td><td>[EMPTY_CELL]</td><td>18007</td></tr><tr><td>7</td><td>Ly9</td><td>4.06</td><td>7</td><td>[EMPTY_CELL]</td><td>17696</td></tr><tr><td>8</td><td>V1re10</td><td>4.01</td><td>8</td><td>[EMPTY_CELL]</td><td>17167</td></tr><tr><td>9</td><td>V1rh21</td><td>3.64</td><td>9</td><td>[EMPTY_CELL]</td><td>17069</td></tr><tr><td>10</td><td><b>Hmox1</b></td><td><b>3.63</b></td><td>10</td><td>[EMPTY_CELL]</td><td>16832</td></tr><tr><td>11</td><td>Lefty2</td><td>3.6</td><td>11</td><td>[EMPTY_CELL]</td><td>16831</td></tr><tr><td>12</td><td>Cdkl3</td><td>3.58</td><td>12</td><td>[EMPTY_CELL]</td><td>16623</td></tr><tr><td>13</td><td>Unknown</td><td>3.55</td><td>13</td><td>[EMPTY_CELL]</td><td>16615</td></tr><tr><td>14</td><td>4933407L21Rik</td><td>3.52</td><td>14</td><td>[EMPTY_CELL]</td><td>16589</td></tr><tr><td>15</td><td>Arhgap4</td><td>3.5</td><td>15</td><td>[EMPTY_CELL]</td><td><b>16534</b></td></tr><tr><td>16</td><td>Serpina1f</td><td>3.43</td><td>16</td><td>[EMPTY_CELL]</td><td>16487</td></tr><tr><td>17</td><td>Xmr</td><td>3.38</td><td>17</td><td>[EMPTY_CELL]</td><td>16335</td></tr><tr><td>18</td><td>Gldn</td><td>3.35</td><td>18</td><td>[EMPTY_CELL]</td><td>15922</td></tr><tr><td>19</td><td>Ckt2</td><td>3.35</td><td>19</td><td>[EMPTY_CELL]</td><td>15662</td></tr><tr><td>20</td><td>Hmgb1l</td><td>3.34</td><td>20</td><td>[EMPTY_CELL]</td><td>15642</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Top 20</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>Symbol</b>\", \"bbox\": [63, 4, 89, 13]}, {\"cell\": \"<b>Ratio (Bach1<sup>-/-</sup> : wild)</b>\", \"bbox\": [151, 2, 220, 13]}, {\"cell\": \"<b>Top 20</b>\", \"bbox\": [258, 4, 282, 13]}, {\"cell\": \"<b>Symbol</b>\", \"bbox\": [321, 4, 347, 13]}, {\"cell\": \"<b>Normalized expression level</b>\", \"bbox\": [393, 4, 484, 13]}, {\"cell\": \"1\", \"bbox\": [0, 17, 6, 27]}, {\"cell\": \"LOC635992\", \"bbox\": [63, 17, 102, 27]}, {\"cell\": \"5.82\", \"bbox\": [151, 17, 166, 27]}, {\"cell\": \"1\", \"bbox\": [258, 17, 264, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 17, 337, 27]}, {\"cell\": \"23704\", \"bbox\": [393, 17, 414, 27]}, {\"cell\": \"2\", \"bbox\": [0, 31, 6, 41]}, {\"cell\": \"Mllt3\", \"bbox\": [63, 31, 81, 41]}, {\"cell\": \"5.79\", \"bbox\": [151, 31, 166, 41]}, {\"cell\": \"2\", \"bbox\": [258, 31, 264, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 31, 335, 41]}, {\"cell\": \"21177\", \"bbox\": [393, 31, 414, 41]}, {\"cell\": \"3\", \"bbox\": [0, 45, 6, 55]}, {\"cell\": \"4930481F22Rik\", \"bbox\": [63, 45, 112, 55]}, {\"cell\": \"4.69\", \"bbox\": [151, 45, 166, 55]}, {\"cell\": \"3\", \"bbox\": [258, 45, 264, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 45, 348, 55]}, {\"cell\": \"18945\", \"bbox\": [393, 45, 414, 55]}, {\"cell\": \"4\", \"bbox\": [0, 59, 6, 69]}, {\"cell\": \"Unknown\", \"bbox\": [63, 59, 96, 69]}, {\"cell\": \"4.31\", \"bbox\": [151, 59, 166, 69]}, {\"cell\": \"4\", \"bbox\": [258, 59, 264, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 59, 335, 69]}, {\"cell\": \"18837\", \"bbox\": [393, 59, 414, 69]}, {\"cell\": \"5\", \"bbox\": [0, 73, 6, 83]}, {\"cell\": \"Tnfrsf26\", \"bbox\": [63, 73, 90, 83]}, {\"cell\": \"4.29\", \"bbox\": [151, 73, 166, 83]}, {\"cell\": \"5\", \"bbox\": [258, 73, 264, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 73, 353, 83]}, {\"cell\": \"18423\", \"bbox\": [393, 73, 414, 83]}, {\"cell\": \"6\", \"bbox\": [0, 87, 6, 97]}, {\"cell\": \"Nlrp4d\", \"bbox\": [63, 87, 87, 97]}, {\"cell\": \"4.19\", \"bbox\": [151, 87, 166, 97]}, {\"cell\": \"6\", \"bbox\": [258, 87, 264, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 87, 342, 97]}, {\"cell\": \"18007\", \"bbox\": [393, 87, 414, 97]}, {\"cell\": \"7\", \"bbox\": [0, 101, 6, 111]}, {\"cell\": \"Ly9\", \"bbox\": [63, 101, 76, 111]}, {\"cell\": \"4.06\", \"bbox\": [151, 101, 166, 111]}, {\"cell\": \"7\", \"bbox\": [258, 101, 264, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 101, 337, 111]}, {\"cell\": \"17696\", \"bbox\": [393, 101, 414, 111]}, {\"cell\": \"8\", \"bbox\": [0, 115, 6, 125]}, {\"cell\": \"V1re10\", \"bbox\": [63, 115, 87, 125]}, {\"cell\": \"4.01\", \"bbox\": [151, 115, 166, 125]}, {\"cell\": \"8\", \"bbox\": [258, 115, 264, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 115, 335, 125]}, {\"cell\": \"17167\", \"bbox\": [393, 115, 414, 125]}, {\"cell\": \"9\", \"bbox\": [0, 129, 6, 139]}, {\"cell\": \"V1rh21\", \"bbox\": [63, 129, 87, 139]}, {\"cell\": \"3.64\", \"bbox\": [151, 129, 166, 139]}, {\"cell\": \"9\", \"bbox\": [258, 129, 264, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 129, 353, 139]}, {\"cell\": \"17069\", \"bbox\": [393, 129, 414, 139]}, {\"cell\": \"10\", \"bbox\": [0, 143, 10, 153]}, {\"cell\": \"<b>Hmox1</b>\", \"bbox\": [63, 143, 90, 151]}, {\"cell\": \"<b>3.63</b>\", \"bbox\": [151, 143, 168, 151]}, {\"cell\": \"10\", \"bbox\": [258, 143, 268, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 143, 341, 153]}, {\"cell\": \"16832\", \"bbox\": [393, 143, 414, 153]}, {\"cell\": \"11\", \"bbox\": [0, 157, 10, 167]}, {\"cell\": \"Lefty2\", \"bbox\": [63, 157, 85, 167]}, {\"cell\": \"3.6\", \"bbox\": [151, 157, 162, 167]}, {\"cell\": \"11\", \"bbox\": [258, 157, 268, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 157, 344, 167]}, {\"cell\": \"16831\", \"bbox\": [393, 157, 414, 167]}, {\"cell\": \"12\", \"bbox\": [0, 171, 10, 180]}, {\"cell\": \"Cdkl3\", \"bbox\": [63, 171, 83, 180]}, {\"cell\": \"3.58\", \"bbox\": [151, 171, 166, 180]}, {\"cell\": \"12\", \"bbox\": [258, 171, 268, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 171, 345, 180]}, {\"cell\": \"16623\", \"bbox\": [393, 171, 414, 180]}, {\"cell\": \"13\", \"bbox\": [0, 185, 10, 194]}, {\"cell\": \"Unknown\", \"bbox\": [63, 185, 96, 194]}, {\"cell\": \"3.55\", \"bbox\": [151, 185, 166, 194]}, {\"cell\": \"13\", \"bbox\": [258, 185, 268, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 185, 337, 194]}, {\"cell\": \"16615\", \"bbox\": [393, 185, 414, 194]}, {\"cell\": \"14\", \"bbox\": [0, 199, 10, 208]}, {\"cell\": \"4933407L21Rik\", \"bbox\": [63, 199, 112, 208]}, {\"cell\": \"3.52\", \"bbox\": [151, 199, 166, 208]}, {\"cell\": \"14\", \"bbox\": [258, 199, 268, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 199, 353, 208]}, {\"cell\": \"16589\", \"bbox\": [393, 199, 414, 208]}, {\"cell\": \"15\", \"bbox\": [0, 213, 10, 222]}, {\"cell\": \"Arhgap4\", \"bbox\": [63, 213, 93, 222]}, {\"cell\": \"3.5\", \"bbox\": [151, 213, 162, 222]}, {\"cell\": \"15\", \"bbox\": [258, 213, 268, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 213, 348, 221]}, {\"cell\": \"<b>16534</b>\", \"bbox\": [393, 213, 416, 221]}, {\"cell\": \"16\", \"bbox\": [0, 227, 10, 236]}, {\"cell\": \"Serpina1f\", \"bbox\": [63, 227, 95, 236]}, {\"cell\": \"3.43\", \"bbox\": [151, 227, 166, 236]}, {\"cell\": \"16\", \"bbox\": [258, 227, 268, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 227, 355, 236]}, {\"cell\": \"16487\", \"bbox\": [393, 227, 414, 236]}, {\"cell\": \"17\", \"bbox\": [0, 241, 10, 250]}, {\"cell\": \"Xmr\", \"bbox\": [63, 241, 79, 250]}, {\"cell\": \"3.38\", \"bbox\": [151, 241, 166, 250]}, {\"cell\": \"17\", \"bbox\": [258, 241, 268, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 241, 337, 250]}, {\"cell\": \"16335\", \"bbox\": [393, 241, 414, 250]}, {\"cell\": \"18\", \"bbox\": [0, 255, 10, 264]}, {\"cell\": \"Gldn\", \"bbox\": [63, 255, 81, 264]}, {\"cell\": \"3.35\", \"bbox\": [151, 255, 166, 264]}, {\"cell\": \"18\", \"bbox\": [258, 255, 268, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 255, 335, 264]}, {\"cell\": \"15922\", \"bbox\": [393, 255, 414, 264]}, {\"cell\": \"19\", \"bbox\": [0, 269, 10, 278]}, {\"cell\": \"Ckt2\", \"bbox\": [63, 269, 79, 278]}, {\"cell\": \"3.35\", \"bbox\": [151, 269, 166, 278]}, {\"cell\": \"19\", \"bbox\": [258, 269, 268, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 269, 341, 278]}, {\"cell\": \"15662\", \"bbox\": [393, 269, 414, 278]}, {\"cell\": \"20\", \"bbox\": [0, 283, 10, 292]}, {\"cell\": \"Hmgb1l\", \"bbox\": [63, 283, 91, 292]}, {\"cell\": \"3.34\", \"bbox\": [151, 283, 166, 292]}, {\"cell\": \"20\", \"bbox\": [258, 283, 268, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 283, 337, 292]}, {\"cell\": \"15642\", \"bbox\": [393, 283, 414, 292]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4603301_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}332{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>GenBank accession</b></td><td><b>Homology to the known genes</b></td><td><b>No. of BACs + ve for EST</b></td><td><b>EST source</b></td></tr></thead><tbody><tr><td>AI437902</td><td>[EMPTY_CELL]</td><td>7</td><td>Gm</td></tr><tr><td>AI442296</td><td>[EMPTY_CELL]</td><td>7</td><td>Gm</td></tr><tr><td>AI441021</td><td>[EMPTY_CELL]</td><td>8</td><td>Gm</td></tr><tr><td>AI460618</td><td>[EMPTY_CELL]</td><td>8</td><td>Gm</td></tr><tr><td>BI273655</td><td>[EMPTY_CELL]</td><td>8</td><td>Fi</td></tr><tr><td>BI273688</td><td>[EMPTY_CELL]</td><td>8</td><td>Fi</td></tr><tr><td>BI347330</td><td>[EMPTY_CELL]</td><td>9</td><td>Fi</td></tr><tr><td>BI273660</td><td>[EMPTY_CELL]</td><td>9</td><td>Fi</td></tr><tr><td>CF675620</td><td>[EMPTY_CELL]</td><td>10</td><td>Fi</td></tr><tr><td>BI119568</td><td>[EMPTY_CELL]</td><td>10</td><td>Fi</td></tr><tr><td>BI119558</td><td>[EMPTY_CELL]</td><td>10</td><td>Fi</td></tr><tr><td>AI440721</td><td>[EMPTY_CELL]</td><td>10</td><td>Gm</td></tr><tr><td>AI460671</td><td>[EMPTY_CELL]</td><td>13</td><td>Gm</td></tr><tr><td>AI441809</td><td>[EMPTY_CELL]</td><td>13</td><td>Gm</td></tr><tr><td>BI119573</td><td>[EMPTY_CELL]</td><td>13</td><td>Fi</td></tr><tr><td>BI273669</td><td>[EMPTY_CELL]</td><td>15</td><td>Fi</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>GenBank accession</b>\", \"bbox\": [4, 4, 71, 14]}, {\"cell\": \"<b>Homology to the known genes</b>\", \"bbox\": [151, 4, 257, 14]}, {\"cell\": \"<b>No. of BACs + ve for EST</b>\", \"bbox\": [327, 4, 417, 14]}, {\"cell\": \"<b>EST source</b>\", \"bbox\": [449, 4, 489, 14]}, {\"cell\": \"AI437902\", \"bbox\": [4, 27, 39, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 27, 238, 36]}, {\"cell\": \"7\", \"bbox\": [369, 27, 375, 36]}, {\"cell\": \"Gm\", \"bbox\": [462, 27, 476, 36]}, {\"cell\": \"AI442296\", \"bbox\": [4, 37, 39, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 37, 244, 47]}, {\"cell\": \"7\", \"bbox\": [369, 37, 375, 47]}, {\"cell\": \"Gm\", \"bbox\": [462, 37, 476, 47]}, {\"cell\": \"AI441021\", \"bbox\": [4, 47, 39, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 47, 262, 57]}, {\"cell\": \"8\", \"bbox\": [369, 47, 375, 57]}, {\"cell\": \"Gm\", \"bbox\": [462, 47, 476, 57]}, {\"cell\": \"AI460618\", \"bbox\": [4, 57, 39, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 57, 270, 67]}, {\"cell\": \"8\", \"bbox\": [369, 57, 375, 67]}, {\"cell\": \"Gm\", \"bbox\": [462, 57, 476, 67]}, {\"cell\": \"BI273655\", \"bbox\": [4, 68, 38, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 68, 253, 77]}, {\"cell\": \"8\", \"bbox\": [369, 68, 375, 77]}, {\"cell\": \"Fi\", \"bbox\": [465, 68, 473, 77]}, {\"cell\": \"BI273688\", \"bbox\": [4, 78, 38, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 78, 253, 88]}, {\"cell\": \"8\", \"bbox\": [369, 78, 375, 88]}, {\"cell\": \"Fi\", \"bbox\": [465, 78, 473, 88]}, {\"cell\": \"BI347330\", \"bbox\": [4, 88, 38, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 88, 276, 98]}, {\"cell\": \"9\", \"bbox\": [369, 88, 375, 98]}, {\"cell\": \"Fi\", \"bbox\": [465, 88, 473, 98]}, {\"cell\": \"BI273660\", \"bbox\": [4, 98, 38, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 98, 211, 108]}, {\"cell\": \"9\", \"bbox\": [369, 98, 375, 108]}, {\"cell\": \"Fi\", \"bbox\": [465, 98, 473, 108]}, {\"cell\": \"CF675620\", \"bbox\": [4, 109, 41, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 109, 261, 118]}, {\"cell\": \"10\", \"bbox\": [367, 109, 377, 118]}, {\"cell\": \"Fi\", \"bbox\": [465, 109, 473, 118]}, {\"cell\": \"BI119568\", \"bbox\": [4, 119, 38, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 119, 211, 129]}, {\"cell\": \"10\", \"bbox\": [367, 119, 377, 129]}, {\"cell\": \"Fi\", \"bbox\": [465, 119, 473, 129]}, {\"cell\": \"BI119558\", \"bbox\": [4, 129, 38, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 129, 256, 139]}, {\"cell\": \"10\", \"bbox\": [367, 129, 377, 139]}, {\"cell\": \"Fi\", \"bbox\": [465, 129, 473, 139]}, {\"cell\": \"AI440721\", \"bbox\": [4, 139, 39, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 139, 270, 149]}, {\"cell\": \"10\", \"bbox\": [367, 139, 377, 149]}, {\"cell\": \"Gm\", \"bbox\": [462, 139, 476, 149]}, {\"cell\": \"AI460671\", \"bbox\": [4, 150, 39, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 150, 241, 159]}, {\"cell\": \"13\", \"bbox\": [367, 150, 377, 159]}, {\"cell\": \"Gm\", \"bbox\": [462, 150, 476, 159]}, {\"cell\": \"AI441809\", \"bbox\": [4, 160, 39, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 160, 231, 170]}, {\"cell\": \"13\", \"bbox\": [367, 160, 377, 170]}, {\"cell\": \"Gm\", \"bbox\": [462, 160, 476, 170]}, {\"cell\": \"BI119573\", \"bbox\": [4, 170, 38, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 170, 253, 180]}, {\"cell\": \"13\", \"bbox\": [367, 170, 377, 180]}, {\"cell\": \"Fi\", \"bbox\": [465, 170, 473, 180]}, {\"cell\": \"BI273669\", \"bbox\": [4, 180, 38, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 180, 227, 190]}, {\"cell\": \"15\", \"bbox\": [367, 180, 377, 190]}, {\"cell\": \"Fi\", \"bbox\": [465, 180, 473, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1716159_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}333{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Subsystem</b></td><td><b>Subsystem feature count</b></td><td><b>Subsystem feature (%)</b></td></tr></thead><tbody><tr><td><b>Fatty acids, lipids and isoprenoids</b></td><td>[EMPTY_CELL]</td><td><b>100</b></td></tr><tr><td> <b>Phospholipids</b></td><td>[EMPTY_CELL]</td><td><b>15.46</b></td></tr><tr><td>Cardiolipin synthesis</td><td>[EMPTY_CELL]</td><td>6.67</td></tr><tr><td>Glycerolipid and glycerophospholipid metabolism in bacteria</td><td>[EMPTY_CELL]</td><td>93.33</td></tr><tr><td> <b>Triacylglycerols</b></td><td>[EMPTY_CELL]</td><td><b>1.55</b></td></tr><tr><td>Triacylglycerol metabolism</td><td>[EMPTY_CELL]</td><td>100</td></tr><tr><td> <b>Fatty acids</b></td><td>[EMPTY_CELL]</td><td><b>36.60</b></td></tr><tr><td>Fatty acid biosynthesis FASII</td><td>[EMPTY_CELL]</td><td>42.25</td></tr><tr><td>Fatty acid metabolism cluster</td><td>[EMPTY_CELL]</td><td>57.75</td></tr><tr><td> <b>Fatty acids, lipids and isoprenoids - no subcategory</b></td><td>[EMPTY_CELL]</td><td><b>28.87</b></td></tr><tr><td>Polyhydroxybutyrate metabolism</td><td>[EMPTY_CELL]</td><td>100</td></tr><tr><td> <b>Isoprenoids</b></td><td>[EMPTY_CELL]</td><td><b>17.53</b></td></tr><tr><td>Isoprenoids for quinones</td><td>[EMPTY_CELL]</td><td>14.71</td></tr><tr><td>Isoprenoid biosynthesis</td><td>[EMPTY_CELL]</td><td>52.94</td></tr><tr><td>Polyprenyl diphosphate biosynthesis</td><td>[EMPTY_CELL]</td><td>11.76</td></tr><tr><td>Nonmevalonate branch of isoprenoid Biosynthesis</td><td>[EMPTY_CELL]</td><td>20.59</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Subsystem</b>\", \"bbox\": [1, 16, 37, 26]}, {\"cell\": \"<b>Subsystem feature count</b>\", \"bbox\": [150, 16, 195, 35]}, {\"cell\": \"<b>Subsystem feature (%)</b>\", \"bbox\": [200, 16, 236, 35]}, {\"cell\": \"<b>Fatty acids, lipids and isoprenoids</b>\", \"bbox\": [1, 38, 121, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 38, 165, 48]}, {\"cell\": \"<b>100</b>\", \"bbox\": [200, 38, 215, 48]}, {\"cell\": \" <b>Phospholipids</b>\", \"bbox\": [13, 52, 64, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 52, 160, 62]}, {\"cell\": \"<b>15.46</b>\", \"bbox\": [200, 52, 221, 62]}, {\"cell\": \"Cardiolipin synthesis\", \"bbox\": [16, 66, 84, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 66, 156, 76]}, {\"cell\": \"6.67\", \"bbox\": [200, 66, 215, 76]}, {\"cell\": \"Glycerolipid and glycerophospholipid metabolism in bacteria\", \"bbox\": [16, 80, 138, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 80, 159, 90]}, {\"cell\": \"93.33\", \"bbox\": [200, 80, 218, 90]}, {\"cell\": \" <b>Triacylglycerols</b>\", \"bbox\": [8, 103, 64, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 103, 156, 113]}, {\"cell\": \"<b>1.55</b>\", \"bbox\": [200, 103, 216, 113]}, {\"cell\": \"Triacylglycerol metabolism\", \"bbox\": [16, 117, 103, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 117, 156, 127]}, {\"cell\": \"100\", \"bbox\": [200, 117, 213, 127]}, {\"cell\": \" <b>Fatty acids</b>\", \"bbox\": [8, 131, 48, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 131, 160, 141]}, {\"cell\": \"<b>36.60</b>\", \"bbox\": [200, 131, 221, 141]}, {\"cell\": \"Fatty acid biosynthesis FASII\", \"bbox\": [16, 145, 108, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 145, 159, 155]}, {\"cell\": \"42.25\", \"bbox\": [200, 145, 218, 155]}, {\"cell\": \"Fatty acid metabolism cluster\", \"bbox\": [16, 159, 113, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 159, 159, 169]}, {\"cell\": \"57.75\", \"bbox\": [200, 159, 218, 169]}, {\"cell\": \" <b>Fatty acids, lipids and isoprenoids - no subcategory</b>\", \"bbox\": [8, 173, 145, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 173, 160, 183]}, {\"cell\": \"<b>28.87</b>\", \"bbox\": [200, 173, 221, 183]}, {\"cell\": \"Polyhydroxybutyrate metabolism\", \"bbox\": [16, 196, 124, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 196, 159, 206]}, {\"cell\": \"100\", \"bbox\": [200, 196, 213, 206]}, {\"cell\": \" <b>Isoprenoids</b>\", \"bbox\": [8, 210, 51, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 210, 160, 220]}, {\"cell\": \"<b>17.53</b>\", \"bbox\": [200, 210, 221, 220]}, {\"cell\": \"Isoprenoids for quinones\", \"bbox\": [16, 224, 98, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 224, 156, 234]}, {\"cell\": \"14.71\", \"bbox\": [200, 224, 218, 234]}, {\"cell\": \"Isoprenoid biosynthesis\", \"bbox\": [16, 238, 93, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 238, 159, 248]}, {\"cell\": \"52.94\", \"bbox\": [200, 238, 218, 248]}, {\"cell\": \"Polyprenyl diphosphate biosynthesis\", \"bbox\": [16, 252, 135, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 252, 156, 262]}, {\"cell\": \"11.76\", \"bbox\": [200, 252, 218, 262]}, {\"cell\": \"Nonmevalonate branch of isoprenoid Biosynthesis\", \"bbox\": [16, 266, 139, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 266, 156, 276]}, {\"cell\": \"20.59\", \"bbox\": [200, 266, 218, 276]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5648520_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}334{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Human TFs</b></td><td><b>PMID</b></td><td><b># total TGs</b></td><td><b># DETGs</b></td><td><b>Fold ratio</b></td><td><b>Corrected p-value</b></td><td><b>Cell lines</b></td></tr></thead><tbody><tr><td>TRIM28</td><td>21343339</td><td>85</td><td>21</td><td>[EMPTY_CELL]</td><td>1.8E-05</td><td>HEK293</td></tr><tr><td>ESR1</td><td>21235772</td><td>213</td><td>36</td><td>[EMPTY_CELL]</td><td>4.8E-04</td><td>MCF-7</td></tr><tr><td>CLOCK</td><td>20551151</td><td>398</td><td>58</td><td>[EMPTY_CELL]</td><td>2.3E-05</td><td>293 T</td></tr><tr><td>ESR2</td><td>21235772</td><td>392</td><td>57</td><td>[EMPTY_CELL]</td><td>9.1E-07</td><td>MCF-7</td></tr><tr><td>SMAD3</td><td>21741376</td><td>1074</td><td>144</td><td>[EMPTY_CELL]</td><td>1.4E-06</td><td>HESC</td></tr><tr><td>SOX2</td><td>20726797</td><td>2060</td><td>275</td><td>[EMPTY_CELL]</td><td><3.45E-14</td><td>SW620</td></tr><tr><td>RELA</td><td>24523406</td><td>1147</td><td>152</td><td>[EMPTY_CELL]</td><td><3.45E-14</td><td>A549</td></tr><tr><td>BACH1</td><td>22875853</td><td>1183</td><td>150</td><td>[EMPTY_CELL]</td><td><3.45E-14</td><td>HELA-AND-SCP4</td></tr><tr><td>GATA1</td><td>19941826</td><td>700</td><td>84</td><td>[EMPTY_CELL]</td><td>3.8E-14</td><td>K562</td></tr><tr><td>TP53</td><td>18474530</td><td>734</td><td>88</td><td>[EMPTY_CELL]</td><td>4.4E-06</td><td>U2OS</td></tr><tr><td>GATA2</td><td>21666600</td><td>634</td><td>75</td><td>[EMPTY_CELL]</td><td>2.1E-06</td><td>HMVEC</td></tr><tr><td>PAX3-FKHR</td><td>20663909</td><td>975</td><td>115</td><td>[EMPTY_CELL]</td><td>4.8E-05</td><td>RHABDOMYOSARCOMA</td></tr><tr><td>SMAD4</td><td>21741376</td><td>2032</td><td>237</td><td>[EMPTY_CELL]</td><td>2.4E-08</td><td>HESC</td></tr><tr><td>DROSHA</td><td>22980978</td><td>441</td><td>51</td><td>[EMPTY_CELL]</td><td><3.45E-14</td><td>HELA</td></tr><tr><td>ZNF217</td><td>24962896</td><td>1400</td><td>160</td><td>[EMPTY_CELL]</td><td>8.7E-03</td><td>MCF7</td></tr><tr><td>NFE2L2</td><td>22581777</td><td>508</td><td>58</td><td>[EMPTY_CELL]</td><td>4.7E-11</td><td>LYMPHOBLASTOID</td></tr><tr><td>EOMES</td><td>21245162</td><td>861</td><td>98</td><td>[EMPTY_CELL]</td><td>3.7E-03</td><td>HESC</td></tr><tr><td>SMAD2</td><td>18955504</td><td>1643</td><td>184</td><td>[EMPTY_CELL]</td><td>4.1E-06</td><td>HaCaT</td></tr><tr><td>SMAD3</td><td>18955504</td><td>1643</td><td>184</td><td>[EMPTY_CELL]</td><td>3.8E-12</td><td>HaCaT</td></tr><tr><td>NR3C1</td><td>21868756</td><td>1023</td><td>111</td><td>[EMPTY_CELL]</td><td>3.8E-12</td><td>MCF10A</td></tr><tr><td>DNAJC2</td><td>21179169</td><td>803</td><td>87</td><td>[EMPTY_CELL]</td><td>6.1E-06</td><td>NT2</td></tr><tr><td>EGR1</td><td>20690147</td><td>5216</td><td>549</td><td>[EMPTY_CELL]</td><td>2.4E-04</td><td>ERYTHROLEUKEMIA</td></tr><tr><td>SOX2</td><td>21211035</td><td>2830</td><td>288</td><td>[EMPTY_CELL]</td><td><3.45E-14</td><td>LN229_GBM</td></tr><tr><td>GATA2</td><td>19941826</td><td>1727</td><td>175</td><td>[EMPTY_CELL]</td><td><3.45E-14</td><td>K562</td></tr><tr><td>MYC</td><td>19915707</td><td>1793</td><td>177</td><td>[EMPTY_CELL]</td><td>8.5E-08</td><td>AK7</td></tr><tr><td>AR</td><td>19668381</td><td>2958</td><td>291</td><td>[EMPTY_CELL]</td><td>5.0E-07</td><td>PC3</td></tr><tr><td>ATF3</td><td>23680149</td><td>1995</td><td>193</td><td>[EMPTY_CELL]</td><td>8.8E-13</td><td>GBM1-GSC</td></tr><tr><td>SMAD4</td><td>21799915</td><td>2302</td><td>220</td><td>[EMPTY_CELL]</td><td>4.3E-07</td><td>A2780</td></tr><tr><td>GATA1</td><td>21571218</td><td>2388</td><td>228</td><td>[EMPTY_CELL]</td><td>7.2E-08</td><td>MEGAKARYOCYTES</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Human TFs</b>\", \"bbox\": [1, 4, 39, 13]}, {\"cell\": \"<b>PMID</b>\", \"bbox\": [68, 4, 87, 13]}, {\"cell\": \"<b># total TGs</b>\", \"bbox\": [131, 4, 167, 13]}, {\"cell\": \"<b># DETGs</b>\", \"bbox\": [197, 4, 225, 13]}, {\"cell\": \"<b>Fold ratio</b>\", \"bbox\": [255, 4, 287, 13]}, {\"cell\": \"<b>Corrected p-value</b>\", \"bbox\": [317, 4, 376, 13]}, {\"cell\": \"<b>Cell lines</b>\", \"bbox\": [406, 4, 436, 13]}, {\"cell\": \"TRIM28\", \"bbox\": [1, 17, 26, 26]}, {\"cell\": \"21343339\", \"bbox\": [68, 17, 101, 26]}, {\"cell\": \"85\", \"bbox\": [131, 17, 140, 26]}, {\"cell\": \"21\", \"bbox\": [197, 17, 206, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 17, 266, 26]}, {\"cell\": \"1.8E-05\", \"bbox\": [317, 17, 342, 26]}, {\"cell\": \"HEK293\", \"bbox\": [406, 17, 432, 26]}, {\"cell\": \"ESR1\", \"bbox\": [1, 31, 18, 40]}, {\"cell\": \"21235772\", \"bbox\": [68, 31, 101, 40]}, {\"cell\": \"213\", \"bbox\": [131, 31, 144, 40]}, {\"cell\": \"36\", \"bbox\": [197, 31, 206, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 31, 266, 40]}, {\"cell\": \"4.8E-04\", \"bbox\": [317, 31, 342, 40]}, {\"cell\": \"MCF-7\", \"bbox\": [406, 31, 428, 40]}, {\"cell\": \"CLOCK\", \"bbox\": [1, 45, 24, 54]}, {\"cell\": \"20551151\", \"bbox\": [68, 45, 101, 54]}, {\"cell\": \"398\", \"bbox\": [131, 45, 144, 54]}, {\"cell\": \"58\", \"bbox\": [197, 45, 206, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 45, 266, 54]}, {\"cell\": \"2.3E-05\", \"bbox\": [317, 45, 342, 54]}, {\"cell\": \"293 T\", \"bbox\": [406, 45, 425, 54]}, {\"cell\": \"ESR2\", \"bbox\": [1, 59, 18, 68]}, {\"cell\": \"21235772\", \"bbox\": [68, 59, 101, 68]}, {\"cell\": \"392\", \"bbox\": [131, 59, 144, 68]}, {\"cell\": \"57\", \"bbox\": [197, 59, 206, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 59, 266, 68]}, {\"cell\": \"9.1E-07\", \"bbox\": [317, 59, 342, 68]}, {\"cell\": \"MCF-7\", \"bbox\": [406, 59, 428, 68]}, {\"cell\": \"SMAD3\", \"bbox\": [1, 73, 26, 82]}, {\"cell\": \"21741376\", \"bbox\": [68, 73, 101, 82]}, {\"cell\": \"1074\", \"bbox\": [131, 73, 148, 82]}, {\"cell\": \"144\", \"bbox\": [197, 73, 210, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 73, 266, 82]}, {\"cell\": \"1.4E-06\", \"bbox\": [317, 73, 342, 82]}, {\"cell\": \"HESC\", \"bbox\": [406, 73, 425, 82]}, {\"cell\": \"SOX2\", \"bbox\": [1, 87, 20, 96]}, {\"cell\": \"20726797\", \"bbox\": [68, 87, 101, 96]}, {\"cell\": \"2060\", \"bbox\": [131, 87, 148, 96]}, {\"cell\": \"275\", \"bbox\": [197, 87, 210, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 87, 266, 96]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 87, 350, 96]}, {\"cell\": \"SW620\", \"bbox\": [406, 87, 430, 96]}, {\"cell\": \"RELA\", \"bbox\": [1, 101, 18, 110]}, {\"cell\": \"24523406\", \"bbox\": [68, 101, 101, 110]}, {\"cell\": \"1147\", \"bbox\": [131, 101, 148, 110]}, {\"cell\": \"152\", \"bbox\": [197, 101, 210, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 101, 266, 110]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 101, 350, 110]}, {\"cell\": \"A549\", \"bbox\": [406, 101, 424, 110]}, {\"cell\": \"BACH1\", \"bbox\": [1, 115, 24, 124]}, {\"cell\": \"22875853\", \"bbox\": [68, 115, 101, 124]}, {\"cell\": \"1183\", \"bbox\": [131, 115, 148, 124]}, {\"cell\": \"150\", \"bbox\": [197, 115, 210, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 115, 261, 124]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 115, 350, 124]}, {\"cell\": \"HELA-AND-SCP4\", \"bbox\": [406, 115, 460, 124]}, {\"cell\": \"GATA1\", \"bbox\": [1, 129, 24, 138]}, {\"cell\": \"19941826\", \"bbox\": [68, 129, 101, 138]}, {\"cell\": \"700\", \"bbox\": [131, 129, 144, 138]}, {\"cell\": \"84\", \"bbox\": [197, 129, 206, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 129, 266, 138]}, {\"cell\": \"3.8E-14\", \"bbox\": [317, 129, 342, 138]}, {\"cell\": \"K562\", \"bbox\": [406, 129, 423, 138]}, {\"cell\": \"TP53\", \"bbox\": [1, 143, 18, 152]}, {\"cell\": \"18474530\", \"bbox\": [68, 143, 101, 152]}, {\"cell\": \"734\", \"bbox\": [131, 143, 144, 152]}, {\"cell\": \"88\", \"bbox\": [197, 143, 206, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 143, 266, 152]}, {\"cell\": \"4.4E-06\", \"bbox\": [317, 143, 342, 152]}, {\"cell\": \"U2OS\", \"bbox\": [406, 143, 426, 152]}, {\"cell\": \"GATA2\", \"bbox\": [1, 157, 24, 166]}, {\"cell\": \"21666600\", \"bbox\": [68, 157, 101, 166]}, {\"cell\": \"634\", \"bbox\": [131, 157, 144, 166]}, {\"cell\": \"75\", \"bbox\": [197, 157, 206, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 157, 266, 166]}, {\"cell\": \"2.1E-06\", \"bbox\": [317, 157, 342, 166]}, {\"cell\": \"HMVEC\", \"bbox\": [406, 157, 431, 166]}, {\"cell\": \"PAX3-FKHR\", \"bbox\": [1, 171, 38, 180]}, {\"cell\": \"20663909\", \"bbox\": [68, 171, 101, 180]}, {\"cell\": \"975\", \"bbox\": [131, 171, 144, 180]}, {\"cell\": \"115\", \"bbox\": [197, 171, 210, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 171, 266, 180]}, {\"cell\": \"4.8E-05\", \"bbox\": [317, 171, 342, 180]}, {\"cell\": \"RHABDOMYOSARCOMA\", \"bbox\": [406, 171, 484, 180]}, {\"cell\": \"SMAD4\", \"bbox\": [1, 185, 26, 194]}, {\"cell\": \"21741376\", \"bbox\": [68, 185, 101, 194]}, {\"cell\": \"2032\", \"bbox\": [131, 185, 148, 194]}, {\"cell\": \"237\", \"bbox\": [197, 185, 210, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 185, 266, 194]}, {\"cell\": \"2.4E-08\", \"bbox\": [317, 185, 342, 194]}, {\"cell\": \"HESC\", \"bbox\": [406, 185, 425, 194]}, {\"cell\": \"DROSHA\", \"bbox\": [1, 199, 30, 208]}, {\"cell\": \"22980978\", \"bbox\": [68, 199, 101, 208]}, {\"cell\": \"441\", \"bbox\": [131, 199, 144, 208]}, {\"cell\": \"51\", \"bbox\": [197, 199, 206, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 199, 266, 208]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 199, 350, 208]}, {\"cell\": \"HELA\", \"bbox\": [406, 199, 425, 208]}, {\"cell\": \"ZNF217\", \"bbox\": [1, 213, 27, 222]}, {\"cell\": \"24962896\", \"bbox\": [68, 213, 101, 222]}, {\"cell\": \"1400\", \"bbox\": [131, 213, 148, 222]}, {\"cell\": \"160\", \"bbox\": [197, 213, 210, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 213, 266, 222]}, {\"cell\": \"8.7E-03\", \"bbox\": [317, 213, 342, 222]}, {\"cell\": \"MCF7\", \"bbox\": [406, 213, 426, 222]}, {\"cell\": \"NFE2L2\", \"bbox\": [1, 227, 26, 236]}, {\"cell\": \"22581777\", \"bbox\": [68, 227, 101, 236]}, {\"cell\": \"508\", \"bbox\": [131, 227, 144, 236]}, {\"cell\": \"58\", \"bbox\": [197, 227, 206, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 227, 266, 236]}, {\"cell\": \"4.7E-11\", \"bbox\": [317, 227, 342, 236]}, {\"cell\": \"LYMPHOBLASTOID\", \"bbox\": [406, 227, 468, 236]}, {\"cell\": \"EOMES\", \"bbox\": [1, 241, 25, 250]}, {\"cell\": \"21245162\", \"bbox\": [68, 241, 101, 250]}, {\"cell\": \"861\", \"bbox\": [131, 241, 144, 250]}, {\"cell\": \"98\", \"bbox\": [197, 241, 206, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 241, 266, 250]}, {\"cell\": \"3.7E-03\", \"bbox\": [317, 241, 342, 250]}, {\"cell\": \"HESC\", \"bbox\": [406, 241, 425, 250]}, {\"cell\": \"SMAD2\", \"bbox\": [1, 255, 26, 264]}, {\"cell\": \"18955504\", \"bbox\": [68, 255, 101, 264]}, {\"cell\": \"1643\", \"bbox\": [131, 255, 148, 264]}, {\"cell\": \"184\", \"bbox\": [197, 255, 210, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 255, 266, 264]}, {\"cell\": \"4.1E-06\", \"bbox\": [317, 255, 342, 264]}, {\"cell\": \"HaCaT\", \"bbox\": [406, 255, 428, 264]}, {\"cell\": \"SMAD3\", \"bbox\": [1, 269, 26, 278]}, {\"cell\": \"18955504\", \"bbox\": [68, 269, 101, 278]}, {\"cell\": \"1643\", \"bbox\": [131, 269, 148, 278]}, {\"cell\": \"184\", \"bbox\": [197, 269, 210, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 269, 266, 278]}, {\"cell\": \"3.8E-12\", \"bbox\": [317, 269, 342, 278]}, {\"cell\": \"HaCaT\", \"bbox\": [406, 269, 428, 278]}, {\"cell\": \"NR3C1\", \"bbox\": [1, 283, 24, 292]}, {\"cell\": \"21868756\", \"bbox\": [68, 283, 101, 292]}, {\"cell\": \"1023\", \"bbox\": [131, 283, 148, 292]}, {\"cell\": \"111\", \"bbox\": [197, 283, 210, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 283, 266, 292]}, {\"cell\": \"3.8E-12\", \"bbox\": [317, 283, 342, 292]}, {\"cell\": \"MCF10A\", \"bbox\": [406, 283, 435, 292]}, {\"cell\": \"DNAJC2\", \"bbox\": [1, 297, 28, 306]}, {\"cell\": \"21179169\", \"bbox\": [68, 297, 101, 306]}, {\"cell\": \"803\", \"bbox\": [131, 297, 144, 306]}, {\"cell\": \"87\", \"bbox\": [197, 297, 206, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 297, 266, 306]}, {\"cell\": \"6.1E-06\", \"bbox\": [317, 297, 342, 306]}, {\"cell\": \"NT2\", \"bbox\": [406, 297, 421, 306]}, {\"cell\": \"EGR1\", \"bbox\": [1, 311, 19, 320]}, {\"cell\": \"20690147\", \"bbox\": [68, 311, 101, 320]}, {\"cell\": \"5216\", \"bbox\": [131, 311, 148, 320]}, {\"cell\": \"549\", \"bbox\": [197, 311, 210, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 311, 266, 320]}, {\"cell\": \"2.4E-04\", \"bbox\": [317, 311, 342, 320]}, {\"cell\": \"ERYTHROLEUKEMIA\", \"bbox\": [406, 311, 470, 320]}, {\"cell\": \"SOX2\", \"bbox\": [1, 325, 20, 334]}, {\"cell\": \"21211035\", \"bbox\": [68, 325, 101, 334]}, {\"cell\": \"2830\", \"bbox\": [131, 325, 148, 334]}, {\"cell\": \"288\", \"bbox\": [197, 325, 210, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 325, 266, 334]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 325, 350, 334]}, {\"cell\": \"LN229_GBM\", \"bbox\": [406, 325, 447, 334]}, {\"cell\": \"GATA2\", \"bbox\": [1, 339, 24, 348]}, {\"cell\": \"19941826\", \"bbox\": [68, 339, 101, 348]}, {\"cell\": \"1727\", \"bbox\": [131, 339, 148, 348]}, {\"cell\": \"175\", \"bbox\": [197, 339, 210, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 339, 266, 348]}, {\"cell\": \"<3.45E-14\", \"bbox\": [317, 339, 350, 348]}, {\"cell\": \"K562\", \"bbox\": [406, 339, 423, 348]}, {\"cell\": \"MYC\", \"bbox\": [1, 353, 17, 362]}, {\"cell\": \"19915707\", \"bbox\": [68, 353, 101, 362]}, {\"cell\": \"1793\", \"bbox\": [131, 353, 148, 362]}, {\"cell\": \"177\", \"bbox\": [197, 353, 210, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 353, 266, 362]}, {\"cell\": \"8.5E-08\", \"bbox\": [317, 353, 342, 362]}, {\"cell\": \"AK7\", \"bbox\": [406, 353, 420, 362]}, {\"cell\": \"AR\", \"bbox\": [1, 367, 11, 376]}, {\"cell\": \"19668381\", \"bbox\": [68, 367, 101, 376]}, {\"cell\": \"2958\", \"bbox\": [131, 367, 148, 376]}, {\"cell\": \"291\", \"bbox\": [197, 367, 210, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 367, 266, 376]}, {\"cell\": \"5.0E-07\", \"bbox\": [317, 367, 342, 376]}, {\"cell\": \"PC3\", \"bbox\": [406, 367, 420, 376]}, {\"cell\": \"ATF3\", \"bbox\": [1, 381, 18, 390]}, {\"cell\": \"23680149\", \"bbox\": [68, 381, 101, 390]}, {\"cell\": \"1995\", \"bbox\": [131, 381, 148, 390]}, {\"cell\": \"193\", \"bbox\": [197, 381, 210, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 381, 266, 390]}, {\"cell\": \"8.8E-13\", \"bbox\": [317, 381, 342, 390]}, {\"cell\": \"GBM1-GSC\", \"bbox\": [406, 381, 442, 390]}, {\"cell\": \"SMAD4\", \"bbox\": [1, 395, 26, 404]}, {\"cell\": \"21799915\", \"bbox\": [68, 395, 101, 404]}, {\"cell\": \"2302\", \"bbox\": [131, 395, 148, 404]}, {\"cell\": \"220\", \"bbox\": [197, 395, 210, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 395, 266, 404]}, {\"cell\": \"4.3E-07\", \"bbox\": [317, 395, 342, 404]}, {\"cell\": \"A2780\", \"bbox\": [406, 395, 428, 404]}, {\"cell\": \"GATA1\", \"bbox\": [1, 409, 24, 418]}, {\"cell\": \"21571218\", \"bbox\": [68, 409, 101, 418]}, {\"cell\": \"2388\", \"bbox\": [131, 409, 148, 418]}, {\"cell\": \"228\", \"bbox\": [197, 409, 210, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 409, 266, 418]}, {\"cell\": \"7.2E-08\", \"bbox\": [317, 409, 342, 418]}, {\"cell\": \"MEGAKARYOCYTES\", \"bbox\": [406, 409, 469, 418]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4506436_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}335{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Healthy controls</b></td><td><b>Mild asthmatics</b></td><td><b>Severe asthmatics</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>30.3 ± 15.2</td><td>34.2 ± 13.1</td><td>50.2 ± 15.0</td></tr><tr><td>[EMPTY_CELL]</td><td>1 M/4 F</td><td>3 M/2 F</td><td>4 M/1 F</td></tr><tr><td>[EMPTY_CELL]</td><td>105.8 ± 6.42</td><td>95.6 ± 13.4</td><td>56.8 ± 23.2</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>5</td><td>5</td></tr><tr><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\"><i>890 ± 690/200</i></td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>28.8 ± 11.0</td><td>21.8 ± 1.5</td><td>49.8 ± 16.0</td></tr><tr><td>[EMPTY_CELL]</td><td>4 M/1 F</td><td>2 M/3 F</td><td>2 M/3 F</td></tr><tr><td>[EMPTY_CELL]</td><td>135.0 ± 68.8</td><td>4.2 ± 3.9</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>96.0 ± 13.7</td><td>95.0 ± 5.1</td><td>54.0 ± 17.0</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>5</td><td>4 yes/1 no</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>1050 ± 255/100</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Healthy controls</b>\", \"bbox\": [204, 4, 262, 13]}, {\"cell\": \"<b>Mild asthmatics</b>\", \"bbox\": [313, 4, 370, 13]}, {\"cell\": \"<b>Severe asthmatics</b>\", \"bbox\": [420, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 146, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 38, 41]}, {\"cell\": \"30.3 ± 15.2\", \"bbox\": [204, 31, 241, 41]}, {\"cell\": \"34.2 ± 13.1\", \"bbox\": [313, 31, 350, 41]}, {\"cell\": \"50.2 ± 15.0\", \"bbox\": [420, 31, 457, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 13, 55]}, {\"cell\": \"1 M/4 F\", \"bbox\": [204, 45, 231, 55]}, {\"cell\": \"3 M/2 F\", \"bbox\": [313, 45, 340, 55]}, {\"cell\": \"4 M/1 F\", \"bbox\": [420, 45, 447, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 30, 69]}, {\"cell\": \"105.8 ± 6.42\", \"bbox\": [204, 59, 245, 69]}, {\"cell\": \"95.6 ± 13.4\", \"bbox\": [313, 59, 350, 69]}, {\"cell\": \"56.8 ± 23.2\", \"bbox\": [420, 59, 457, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 22, 83]}, {\"cell\": \"2\", \"bbox\": [204, 73, 209, 83]}, {\"cell\": \"5\", \"bbox\": [313, 73, 319, 83]}, {\"cell\": \"5\", \"bbox\": [420, 73, 426, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 67, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>890 ± 690/200</i>\", \"bbox\": [420, 87, 467, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 153, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 112, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 38, 139]}, {\"cell\": \"28.8 ± 11.0\", \"bbox\": [204, 129, 241, 139]}, {\"cell\": \"21.8 ± 1.5\", \"bbox\": [313, 129, 346, 139]}, {\"cell\": \"49.8 ± 16.0\", \"bbox\": [420, 129, 457, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 13, 153]}, {\"cell\": \"4 M/1 F\", \"bbox\": [204, 143, 231, 153]}, {\"cell\": \"2 M/3 F\", \"bbox\": [313, 143, 340, 153]}, {\"cell\": \"2 M/3 F\", \"bbox\": [420, 143, 447, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 45, 167]}, {\"cell\": \"135.0 ± 68.8\", \"bbox\": [204, 157, 245, 167]}, {\"cell\": \"4.2 ± 3.9\", \"bbox\": [313, 157, 343, 167]}, {\"cell\": \"ND\", \"bbox\": [420, 157, 432, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 30, 181]}, {\"cell\": \"96.0 ± 13.7\", \"bbox\": [204, 171, 241, 181]}, {\"cell\": \"95.0 ± 5.1\", \"bbox\": [313, 171, 346, 181]}, {\"cell\": \"54.0 ± 17.0\", \"bbox\": [420, 171, 457, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 22, 195]}, {\"cell\": \"0\", \"bbox\": [204, 185, 209, 195]}, {\"cell\": \"5\", \"bbox\": [313, 185, 319, 195]}, {\"cell\": \"4 yes/1 no\", \"bbox\": [420, 185, 456, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 67, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>1050 ± 255/100</i>\", \"bbox\": [420, 199, 471, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 153, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4176096_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}336{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Natural cycle group(n = 102)</b></td><td><b>MPA group(n = 102)</b></td><td><b>P value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1.18 (1.08, 1.27)</td><td>1.37 (1.24, 1.50)</td><td>0.012</td></tr><tr><td>[EMPTY_CELL]</td><td>1.03 (0.96, 1.09)</td><td>1.16 (1.07, 1.25)</td><td>0.025</td></tr><tr><td>[EMPTY_CELL]</td><td>0.76 (0.65,0.86)</td><td>1.09 (0.93,1.18)</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.05 (0, 0.1)</td><td>0.02 (−0.01,0.05)</td><td>0.307</td></tr><tr><td>[EMPTY_CELL]</td><td>0.64 (0.53,0.74)</td><td>0.94 (0.81,1.07)</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.06 (0,0.08)</td><td>0.09 (0.03, 0.15)</td><td>0.155</td></tr><tr><td>[EMPTY_CELL]</td><td>0.48 (0.38, 0.58)</td><td>0.76 (0.63,0.88)</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.89 (0.79, 0.98)</td><td>1.10 (1.10, 1.20)</td><td>0.003</td></tr><tr><td>[EMPTY_CELL]</td><td>5.88% (6/102)</td><td>11.77% (12/102)</td><td>0.139</td></tr><tr><td>[EMPTY_CELL]</td><td>15.38% (6/39)</td><td>21.43% (12 /56)</td><td>0.460</td></tr><tr><td>[EMPTY_CELL]</td><td>33.33% (2/6)</td><td>8.33% (1/12)</td><td>0.245</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0/6)</td><td>8.33% (1/12)</td><td>0.667</td></tr><tr><td>[EMPTY_CELL]</td><td>3.92% (4/102)</td><td>8.33% (10/102)</td><td>0.097</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Natural cycle group(n = 102)</b>\", \"bbox\": [197, 4, 262, 22]}, {\"cell\": \"<b>MPA group(n = 102)</b>\", \"bbox\": [334, 4, 372, 22]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 125, 36]}, {\"cell\": \"1.18 (1.08, 1.27)\", \"bbox\": [197, 26, 247, 36]}, {\"cell\": \"1.37 (1.24, 1.50)\", \"bbox\": [334, 26, 385, 36]}, {\"cell\": \"0.012\", \"bbox\": [459, 26, 478, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 125, 50]}, {\"cell\": \"1.03 (0.96, 1.09)\", \"bbox\": [197, 40, 247, 50]}, {\"cell\": \"1.16 (1.07, 1.25)\", \"bbox\": [334, 40, 385, 50]}, {\"cell\": \"0.025\", \"bbox\": [459, 40, 478, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 78, 64]}, {\"cell\": \"0.76 (0.65,0.86)\", \"bbox\": [197, 54, 245, 64]}, {\"cell\": \"1.09 (0.93,1.18)\", \"bbox\": [334, 54, 382, 64]}, {\"cell\": \"<0.001\", \"bbox\": [459, 54, 483, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 68, 89, 78]}, {\"cell\": \"0.05 (0, 0.1)\", \"bbox\": [197, 68, 235, 78]}, {\"cell\": \"0.02 (−0.01,0.05)\", \"bbox\": [334, 68, 387, 78]}, {\"cell\": \"0.307\", \"bbox\": [459, 68, 478, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 82, 67, 92]}, {\"cell\": \"0.64 (0.53,0.74)\", \"bbox\": [197, 82, 245, 92]}, {\"cell\": \"0.94 (0.81,1.07)\", \"bbox\": [334, 82, 382, 92]}, {\"cell\": \"<0.001\", \"bbox\": [459, 82, 483, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 96, 88, 106]}, {\"cell\": \"0.06 (0,0.08)\", \"bbox\": [197, 96, 236, 106]}, {\"cell\": \"0.09 (0.03, 0.15)\", \"bbox\": [334, 96, 385, 106]}, {\"cell\": \"0.155\", \"bbox\": [459, 96, 478, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 77, 120]}, {\"cell\": \"0.48 (0.38, 0.58)\", \"bbox\": [197, 110, 247, 120]}, {\"cell\": \"0.76 (0.63,0.88)\", \"bbox\": [334, 110, 382, 120]}, {\"cell\": \"0.001\", \"bbox\": [459, 110, 478, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 72, 134]}, {\"cell\": \"0.89 (0.79, 0.98)\", \"bbox\": [197, 124, 247, 134]}, {\"cell\": \"1.10 (1.10, 1.20)\", \"bbox\": [334, 124, 385, 134]}, {\"cell\": \"0.003\", \"bbox\": [459, 124, 478, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 111, 148]}, {\"cell\": \"5.88% (6/102)\", \"bbox\": [197, 138, 242, 148]}, {\"cell\": \"11.77% (12/102)\", \"bbox\": [334, 138, 387, 148]}, {\"cell\": \"0.139\", \"bbox\": [459, 138, 478, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 70, 162]}, {\"cell\": \"15.38% (6/39)\", \"bbox\": [197, 152, 242, 162]}, {\"cell\": \"21.43% (12 /56)\", \"bbox\": [334, 152, 385, 162]}, {\"cell\": \"0.460\", \"bbox\": [459, 152, 478, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 166, 65, 176]}, {\"cell\": \"33.33% (2/6)\", \"bbox\": [197, 166, 238, 176]}, {\"cell\": \"8.33% (1/12)\", \"bbox\": [334, 166, 375, 176]}, {\"cell\": \"0.245\", \"bbox\": [459, 166, 478, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 180, 74, 190]}, {\"cell\": \"0 (0/6)\", \"bbox\": [197, 180, 220, 190]}, {\"cell\": \"8.33% (1/12)\", \"bbox\": [334, 180, 375, 190]}, {\"cell\": \"0.667\", \"bbox\": [459, 180, 478, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 194, 97, 204]}, {\"cell\": \"3.92% (4/102)\", \"bbox\": [197, 194, 242, 204]}, {\"cell\": \"8.33% (10/102)\", \"bbox\": [334, 194, 383, 204]}, {\"cell\": \"0.097\", \"bbox\": [459, 194, 478, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5583982_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}337{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Descriptor</b></td><td><b>Non-DM<sup>†</sup>(n = 10491)</b></td><td><b>DM without medication<sup>‡</sup>(n = 8130)</b></td><td><b>DM without metformin<sup>§</sup>(n = 4327)</b></td><td><b>DM with metformin¶(n = 11390)</b></td><td><b>P-value</b></td></tr></thead><tbody><tr><td>Age, n (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> 20-49 yr</td><td>2685 (25.6)</td><td>2230 (27.4)</td><td>[EMPTY_CELL]</td><td>2977 (26.1)</td><td>[EMPTY_CELL]</td></tr><tr><td> 50-59 yr</td><td>3483 (33.2)</td><td>2202 (27.1)</td><td>[EMPTY_CELL]</td><td>3638 (31.9)</td><td>[EMPTY_CELL]</td></tr><tr><td> 60-69 yr</td><td>2406 (22.9)</td><td>1639 (20.2)</td><td>[EMPTY_CELL]</td><td>2530 (22.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥70 yr</td><td>1917 (18.3)</td><td>2059 (25.3)</td><td>[EMPTY_CELL]</td><td>2245 (19.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Female gender, n (%)</td><td>4822 (46.0)</td><td>4177 (51.4)</td><td>[EMPTY_CELL]</td><td>5134 (45.1)</td><td><0.001</td></tr><tr><td>Geographical area, n (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> North</td><td>4938 (47.1)</td><td>4145 (51.0)</td><td>[EMPTY_CELL]</td><td>5031 (44.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> Central</td><td>2472 (23.6)</td><td>1739 (21.4)</td><td>[EMPTY_CELL]</td><td>2638 (23.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> South</td><td>2761 (26.3)</td><td>2032 (25.0)</td><td>[EMPTY_CELL]</td><td>3285 (28.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> East</td><td>250 (2.38)</td><td>150 (1.85)</td><td>[EMPTY_CELL]</td><td>357 (3.13)</td><td>[EMPTY_CELL]</td></tr><tr><td> Off-shore</td><td>70 (0.67)</td><td>64 (0.79)</td><td>[EMPTY_CELL]</td><td>79 (0.69)</td><td>[EMPTY_CELL]</td></tr><tr><td>Charlson comorbidity index score</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> Mean ± SD</td><td>0.25 ± 1.28</td><td>5.29 ± 3.68</td><td>[EMPTY_CELL]</td><td>4.38 ± 3.54</td><td>[EMPTY_CELL]</td></tr><tr><td> Median ± IQR</td><td>0.00 ± 0.00</td><td>5.00 ± 6.00</td><td>[EMPTY_CELL]</td><td>4.00 ± 6.00</td><td>[EMPTY_CELL]</td></tr><tr><td> Min-Max</td><td>0-15</td><td>0-17</td><td>[EMPTY_CELL]</td><td>0-20</td><td>[EMPTY_CELL]</td></tr><tr><td>Follow-up time (yr)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Mean ± SD</td><td>3.94 ± 2.09</td><td>3.94 ± 2.14</td><td>[EMPTY_CELL]</td><td>3.90 ± 2.08</td><td>[EMPTY_CELL]</td></tr><tr><td> Median ± IQR</td><td>3.80 ± 3.49</td><td>3.80 ± 3.65</td><td>[EMPTY_CELL]</td><td>3.76 ± 3.44</td><td>[EMPTY_CELL]</td></tr><tr><td> Min-Max</td><td>0.50-7.99</td><td>0.50-7.99</td><td>[EMPTY_CELL]</td><td>0.50-7.99</td><td>[EMPTY_CELL]</td></tr><tr><td>Withdrawal from NHI, n (%)</td><td>451 (4.30)</td><td>157 (1.93)</td><td>[EMPTY_CELL]</td><td>240 (2.11)</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean daily metformin dose, n (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> ≤500 mg</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3460 (30.4)</td><td>[EMPTY_CELL]</td></tr><tr><td> 500-1000 mg</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4012 (35.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥1000 mg</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3918 (34.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Metformin use duration (day)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Mean ± SD</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>931 ± 765</td><td>[EMPTY_CELL]</td></tr><tr><td> Median ± IQR</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>755 ± 1200</td><td>[EMPTY_CELL]</td></tr><tr><td> Min-Max</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1-2911</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Descriptor</b>\", \"bbox\": [1, 4, 38, 13]}, {\"cell\": \"<b>Non-DM<sup>†</sup>(n = 10491)</b>\", \"bbox\": [125, 3, 167, 22]}, {\"cell\": \"<b>DM without medication<sup>‡</sup>(n = 8130)</b>\", \"bbox\": [177, 3, 265, 22]}, {\"cell\": \"<b>DM without metformin<sup>§</sup>(n = 4327)</b>\", \"bbox\": [274, 2, 360, 22]}, {\"cell\": \"<b>DM with metformin¶(n = 11390)</b>\", \"bbox\": [370, 4, 445, 22]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [454, 4, 482, 13]}, {\"cell\": \"Age, n (%)\", \"bbox\": [1, 26, 36, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [456, 26, 480, 36]}, {\"cell\": \" 20-49 yr\", \"bbox\": [16, 38, 44, 48]}, {\"cell\": \"2685 (25.6)\", \"bbox\": [128, 38, 165, 48]}, {\"cell\": \"2230 (27.4)\", \"bbox\": [202, 38, 239, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 38, 336, 48]}, {\"cell\": \"2977 (26.1)\", \"bbox\": [389, 38, 426, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 50-59 yr\", \"bbox\": [16, 50, 44, 60]}, {\"cell\": \"3483 (33.2)\", \"bbox\": [128, 50, 165, 60]}, {\"cell\": \"2202 (27.1)\", \"bbox\": [202, 50, 239, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 50, 336, 60]}, {\"cell\": \"3638 (31.9)\", \"bbox\": [389, 50, 426, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 60-69 yr\", \"bbox\": [16, 62, 44, 72]}, {\"cell\": \"2406 (22.9)\", \"bbox\": [128, 62, 165, 72]}, {\"cell\": \"1639 (20.2)\", \"bbox\": [202, 62, 239, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 62, 334, 72]}, {\"cell\": \"2530 (22.2)\", \"bbox\": [389, 62, 426, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥70 yr\", \"bbox\": [16, 74, 38, 83]}, {\"cell\": \"1917 (18.3)\", \"bbox\": [128, 74, 165, 83]}, {\"cell\": \"2059 (25.3)\", \"bbox\": [202, 74, 239, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 74, 336, 83]}, {\"cell\": \"2245 (19.7)\", \"bbox\": [389, 74, 426, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female gender, n (%)\", \"bbox\": [1, 98, 72, 107]}, {\"cell\": \"4822 (46.0)\", \"bbox\": [128, 98, 165, 107]}, {\"cell\": \"4177 (51.4)\", \"bbox\": [202, 98, 239, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 98, 336, 107]}, {\"cell\": \"5134 (45.1)\", \"bbox\": [389, 98, 426, 107]}, {\"cell\": \"<0.001\", \"bbox\": [456, 98, 480, 107]}, {\"cell\": \"Geographical area, n (%)\", \"bbox\": [1, 122, 81, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [456, 122, 480, 131]}, {\"cell\": \" North\", \"bbox\": [16, 134, 36, 143]}, {\"cell\": \"4938 (47.1)\", \"bbox\": [128, 134, 165, 143]}, {\"cell\": \"4145 (51.0)\", \"bbox\": [202, 134, 239, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 134, 336, 143]}, {\"cell\": \"5031 (44.2)\", \"bbox\": [389, 134, 425, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Central\", \"bbox\": [15, 146, 40, 155]}, {\"cell\": \"2472 (23.6)\", \"bbox\": [128, 146, 165, 155]}, {\"cell\": \"1739 (21.4)\", \"bbox\": [202, 146, 239, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 146, 336, 155]}, {\"cell\": \"2638 (23.2)\", \"bbox\": [389, 146, 425, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" South\", \"bbox\": [15, 158, 36, 167]}, {\"cell\": \"2761 (26.3)\", \"bbox\": [128, 158, 165, 167]}, {\"cell\": \"2032 (25.0)\", \"bbox\": [202, 158, 239, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 158, 336, 167]}, {\"cell\": \"3285 (28.8)\", \"bbox\": [389, 158, 425, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" East\", \"bbox\": [15, 170, 30, 179]}, {\"cell\": \"250 (2.38)\", \"bbox\": [130, 170, 163, 179]}, {\"cell\": \"150 (1.85)\", \"bbox\": [204, 170, 237, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 170, 334, 179]}, {\"cell\": \"357 (3.13)\", \"bbox\": [391, 170, 424, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Off-shore\", \"bbox\": [15, 182, 47, 191]}, {\"cell\": \"70 (0.67)\", \"bbox\": [132, 182, 161, 191]}, {\"cell\": \"64 (0.79)\", \"bbox\": [206, 182, 235, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 182, 332, 191]}, {\"cell\": \"79 (0.69)\", \"bbox\": [392, 182, 422, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Charlson comorbidity index score\", \"bbox\": [1, 205, 111, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [456, 205, 480, 215]}, {\"cell\": \" Mean ± SD\", \"bbox\": [15, 217, 54, 227]}, {\"cell\": \"0.25 ± 1.28\", \"bbox\": [127, 217, 165, 227]}, {\"cell\": \"5.29 ± 3.68\", \"bbox\": [202, 217, 240, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 217, 336, 227]}, {\"cell\": \"4.38 ± 3.54\", \"bbox\": [388, 217, 426, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Median ± IQR\", \"bbox\": [15, 229, 62, 239]}, {\"cell\": \"0.00 ± 0.00\", \"bbox\": [127, 229, 165, 239]}, {\"cell\": \"5.00 ± 6.00\", \"bbox\": [202, 229, 240, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 229, 336, 239]}, {\"cell\": \"4.00 ± 6.00\", \"bbox\": [388, 229, 426, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [15, 241, 45, 251]}, {\"cell\": \"0-15\", \"bbox\": [138, 241, 154, 251]}, {\"cell\": \"0-17\", \"bbox\": [213, 241, 229, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [309, 241, 325, 251]}, {\"cell\": \"0-20\", \"bbox\": [399, 241, 415, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Follow-up time (yr)\", \"bbox\": [1, 265, 64, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean ± SD\", \"bbox\": [15, 277, 54, 287]}, {\"cell\": \"3.94 ± 2.09\", \"bbox\": [127, 277, 165, 287]}, {\"cell\": \"3.94 ± 2.14\", \"bbox\": [202, 277, 240, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 277, 336, 287]}, {\"cell\": \"3.90 ± 2.08\", \"bbox\": [388, 277, 426, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Median ± IQR\", \"bbox\": [15, 289, 62, 299]}, {\"cell\": \"3.80 ± 3.49\", \"bbox\": [127, 289, 165, 299]}, {\"cell\": \"3.80 ± 3.65\", \"bbox\": [202, 289, 240, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 289, 336, 299]}, {\"cell\": \"3.76 ± 3.44\", \"bbox\": [388, 289, 426, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [15, 301, 45, 311]}, {\"cell\": \"0.50-7.99\", \"bbox\": [131, 301, 161, 311]}, {\"cell\": \"0.50-7.99\", \"bbox\": [206, 301, 236, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 301, 332, 311]}, {\"cell\": \"0.50-7.99\", \"bbox\": [392, 301, 422, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Withdrawal from NHI, n (%)\", \"bbox\": [1, 325, 91, 335]}, {\"cell\": \"451 (4.30)\", \"bbox\": [130, 325, 163, 335]}, {\"cell\": \"157 (1.93)\", \"bbox\": [204, 325, 237, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 325, 332, 335]}, {\"cell\": \"240 (2.11)\", \"bbox\": [391, 325, 424, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean daily metformin dose, n (%)\", \"bbox\": [1, 349, 113, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤500 mg\", \"bbox\": [15, 361, 47, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3460 (30.4)\", \"bbox\": [389, 361, 425, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 500-1000 mg\", \"bbox\": [15, 373, 60, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4012 (35.2)\", \"bbox\": [389, 373, 425, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥1000 mg\", \"bbox\": [15, 385, 51, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3918 (34.4)\", \"bbox\": [389, 385, 425, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Metformin use duration (day)\", \"bbox\": [0, 409, 97, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean ± SD\", \"bbox\": [15, 421, 54, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"931 ± 765\", \"bbox\": [390, 421, 425, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Median ± IQR\", \"bbox\": [15, 433, 62, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"755 ± 1200\", \"bbox\": [388, 433, 426, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [15, 445, 45, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1-2911\", \"bbox\": [395, 445, 419, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3031263_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}338{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Comparison</b></td><td colspan=\\\"3\\\"><b>Homozygote model (CC vs. GG)</b></td><td colspan=\\\"3\\\"><b>Heterozygote model (CG vs. GG)</b></td><td colspan=\\\"3\\\"><b>Dominant model (CC+CG vs. GG)</b></td><td colspan=\\\"3\\\"><b>Recessive model (CC vs. CG+GG)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>OR (95% CI)</b></td><td><b><i>P</i></b></td><td><b><i>P</i><sub>h</sub></b></td><td><b>OR (95% CI)</b></td><td><b><i>P</i></b></td><td><b><i>P</i><sub>h</sub></b></td><td><b>OR (95% CI)</b></td><td><b><i>P</i></b></td><td><b><i>P</i><sub>h</sub></b></td><td><b>OR (95% CI)</b></td><td><b><i>P</i></b></td><td><b><i>P</i><sub>h</sub></b></td></tr></thead><tbody><tr><td>Overall</td><td>1.03 (0.63,1.67)</td><td>0.92</td><td>0.54</td><td>[EMPTY_CELL]</td><td>0.64</td><td>0.65</td><td>0.97 (0.68,1.40)</td><td>0.88</td><td>0.66</td><td>1.04 (0.76,1.44)</td><td>0.79</td><td>0.75</td></tr><tr><td>Cancer type</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>NSCLC</td><td>1.11 (0.67,1.85)</td><td>0.69</td><td>0.63</td><td>[EMPTY_CELL]</td><td>0.66</td><td>0.44</td><td>1.01 (0.68,1.52)</td><td>0.94</td><td>0.54</td><td>1.12 (0.79,1.60)</td><td>0.52</td><td>0.83</td></tr><tr><td>Others</td><td>0.37 (0.06,2.37)</td><td>0.29</td><td>NA</td><td>[EMPTY_CELL]</td><td>0.86</td><td>NA</td><td>0.81 (0.36,1.85)</td><td>0.62</td><td>NA</td><td>0.76 (0.37,1.58)</td><td>0.47</td><td>0.41</td></tr><tr><td>Country</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>China</td><td>1.17 (0.69,2.00)</td><td>0.55</td><td>0.63</td><td>[EMPTY_CELL]</td><td>0.98</td><td>0.38</td><td>1.08 (0.65,1.78)</td><td>0.76</td><td>0.44</td><td>1.10 (0.79,1.52)</td><td>0.59</td><td>0.82</td></tr><tr><td>Others</td><td>0.44 (0.12,1.59)</td><td>0.21</td><td>0.79</td><td>[EMPTY_CELL]</td><td>0.47</td><td>0.46</td><td>0.86 (0.51,1.46)</td><td>0.59</td><td>0.48</td><td>0.50 (0.15,1.74)</td><td>0.28</td><td>0.67</td></tr><tr><td>Response Criteria</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>RECIST</td><td>0.53 (0.09,3.21)</td><td>0.49</td><td>NA</td><td>[EMPTY_CELL]</td><td>0.30</td><td>NA</td><td>0.90 (0.45,1.79)</td><td>0.77</td><td>0.23</td><td>0.66 (0.12,3.77)</td><td>0.64</td><td>NA</td></tr><tr><td>Others</td><td>1.07 (0.65,1.78)</td><td>0.78</td><td>0.45</td><td>[EMPTY_CELL]</td><td>0.91</td><td>0.68</td><td>1.00 (0.65,1.53)</td><td>1</td><td>0.63</td><td>1.06 (0.77,1.46)</td><td>0.73</td><td>0.65</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Comparison</b>\", \"bbox\": [5, 5, 39, 13]}, {\"cell\": \"<b>Homozygote model (CC vs. GG)</b>\", \"bbox\": [60, 5, 145, 13]}, {\"cell\": \"<b>Heterozygote model (CG vs. GG)</b>\", \"bbox\": [155, 5, 242, 13]}, {\"cell\": \"<b>Dominant model (CC+CG vs. GG)</b>\", \"bbox\": [262, 5, 353, 13]}, {\"cell\": \"<b>Recessive model (CC vs. CG+GG)</b>\", \"bbox\": [389, 5, 478, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [61, 19, 98, 26]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [115, 19, 121, 25]}, {\"cell\": \"<b><i>P</i><sub>h</sub></b>\", \"bbox\": [137, 19, 144, 28]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [158, 19, 195, 26]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [209, 19, 215, 25]}, {\"cell\": \"<b><i>P</i><sub>h</sub></b>\", \"bbox\": [230, 19, 238, 28]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [257, 19, 294, 26]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [317, 19, 323, 25]}, {\"cell\": \"<b><i>P</i><sub>h</sub></b>\", \"bbox\": [348, 19, 356, 28]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [390, 19, 426, 26]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [455, 19, 461, 25]}, {\"cell\": \"<b><i>P</i><sub>h</sub></b>\", \"bbox\": [480, 19, 488, 28]}, {\"cell\": \"Overall\", \"bbox\": [5, 33, 25, 40]}, {\"cell\": \"1.03 (0.63,1.67)\", \"bbox\": [60, 33, 100, 40]}, {\"cell\": \"0.92\", \"bbox\": [112, 33, 124, 40]}, {\"cell\": \"0.54\", \"bbox\": [134, 33, 147, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 33, 197, 40]}, {\"cell\": \"0.64\", \"bbox\": [205, 33, 218, 40]}, {\"cell\": \"0.65\", \"bbox\": [228, 33, 240, 40]}, {\"cell\": \"0.97 (0.68,1.40)\", \"bbox\": [255, 33, 296, 40]}, {\"cell\": \"0.88\", \"bbox\": [314, 33, 326, 40]}, {\"cell\": \"0.66\", \"bbox\": [346, 33, 358, 40]}, {\"cell\": \"1.04 (0.76,1.44)\", \"bbox\": [388, 33, 428, 40]}, {\"cell\": \"0.79\", \"bbox\": [452, 33, 464, 40]}, {\"cell\": \"0.75\", \"bbox\": [478, 33, 490, 40]}, {\"cell\": \"Cancer type\", \"bbox\": [5, 46, 36, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NSCLC\", \"bbox\": [5, 60, 26, 67]}, {\"cell\": \"1.11 (0.67,1.85)\", \"bbox\": [60, 60, 100, 67]}, {\"cell\": \"0.69\", \"bbox\": [112, 60, 124, 67]}, {\"cell\": \"0.63\", \"bbox\": [134, 60, 147, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 60, 197, 67]}, {\"cell\": \"0.66\", \"bbox\": [205, 60, 218, 67]}, {\"cell\": \"0.44\", \"bbox\": [228, 60, 240, 67]}, {\"cell\": \"1.01 (0.68,1.52)\", \"bbox\": [255, 60, 296, 67]}, {\"cell\": \"0.94\", \"bbox\": [314, 60, 326, 67]}, {\"cell\": \"0.54\", \"bbox\": [346, 60, 358, 67]}, {\"cell\": \"1.12 (0.79,1.60)\", \"bbox\": [388, 60, 428, 67]}, {\"cell\": \"0.52\", \"bbox\": [452, 60, 464, 67]}, {\"cell\": \"0.83\", \"bbox\": [478, 60, 490, 67]}, {\"cell\": \"Others\", \"bbox\": [5, 73, 23, 81]}, {\"cell\": \"0.37 (0.06,2.37)\", \"bbox\": [60, 73, 100, 81]}, {\"cell\": \"0.29\", \"bbox\": [112, 73, 124, 81]}, {\"cell\": \"NA\", \"bbox\": [135, 73, 146, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 73, 197, 81]}, {\"cell\": \"0.86\", \"bbox\": [205, 73, 218, 81]}, {\"cell\": \"NA\", \"bbox\": [229, 73, 239, 81]}, {\"cell\": \"0.81 (0.36,1.85)\", \"bbox\": [255, 73, 296, 81]}, {\"cell\": \"0.62\", \"bbox\": [314, 73, 326, 81]}, {\"cell\": \"NA\", \"bbox\": [347, 73, 358, 81]}, {\"cell\": \"0.76 (0.37,1.58)\", \"bbox\": [388, 73, 428, 81]}, {\"cell\": \"0.47\", \"bbox\": [452, 73, 464, 81]}, {\"cell\": \"0.41\", \"bbox\": [478, 73, 490, 81]}, {\"cell\": \"Country\", \"bbox\": [5, 87, 27, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"China\", \"bbox\": [5, 100, 21, 108]}, {\"cell\": \"1.17 (0.69,2.00)\", \"bbox\": [60, 100, 100, 108]}, {\"cell\": \"0.55\", \"bbox\": [112, 100, 124, 108]}, {\"cell\": \"0.63\", \"bbox\": [134, 100, 147, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 100, 197, 108]}, {\"cell\": \"0.98\", \"bbox\": [205, 100, 218, 108]}, {\"cell\": \"0.38\", \"bbox\": [228, 100, 240, 108]}, {\"cell\": \"1.08 (0.65,1.78)\", \"bbox\": [255, 100, 296, 108]}, {\"cell\": \"0.76\", \"bbox\": [314, 100, 326, 108]}, {\"cell\": \"0.44\", \"bbox\": [346, 100, 358, 108]}, {\"cell\": \"1.10 (0.79,1.52)\", \"bbox\": [388, 100, 428, 108]}, {\"cell\": \"0.59\", \"bbox\": [452, 100, 464, 108]}, {\"cell\": \"0.82\", \"bbox\": [478, 100, 490, 108]}, {\"cell\": \"Others\", \"bbox\": [5, 114, 23, 121]}, {\"cell\": \"0.44 (0.12,1.59)\", \"bbox\": [60, 114, 100, 121]}, {\"cell\": \"0.21\", \"bbox\": [112, 114, 124, 121]}, {\"cell\": \"0.79\", \"bbox\": [134, 114, 147, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 114, 197, 121]}, {\"cell\": \"0.47\", \"bbox\": [205, 114, 218, 121]}, {\"cell\": \"0.46\", \"bbox\": [228, 114, 240, 121]}, {\"cell\": \"0.86 (0.51,1.46)\", \"bbox\": [255, 114, 296, 121]}, {\"cell\": \"0.59\", \"bbox\": [314, 114, 326, 121]}, {\"cell\": \"0.48\", \"bbox\": [346, 114, 358, 121]}, {\"cell\": \"0.50 (0.15,1.74)\", \"bbox\": [388, 114, 428, 121]}, {\"cell\": \"0.28\", \"bbox\": [452, 114, 464, 121]}, {\"cell\": \"0.67\", \"bbox\": [478, 114, 490, 121]}, {\"cell\": \"Response Criteria\", \"bbox\": [5, 127, 50, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RECIST\", \"bbox\": [5, 141, 28, 148]}, {\"cell\": \"0.53 (0.09,3.21)\", \"bbox\": [60, 141, 100, 148]}, {\"cell\": \"0.49\", \"bbox\": [112, 141, 124, 148]}, {\"cell\": \"NA\", \"bbox\": [135, 141, 146, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 141, 197, 148]}, {\"cell\": \"0.30\", \"bbox\": [205, 141, 218, 148]}, {\"cell\": \"NA\", \"bbox\": [229, 141, 239, 148]}, {\"cell\": \"0.90 (0.45,1.79)\", \"bbox\": [255, 141, 296, 148]}, {\"cell\": \"0.77\", \"bbox\": [314, 141, 326, 148]}, {\"cell\": \"0.23\", \"bbox\": [346, 141, 358, 148]}, {\"cell\": \"0.66 (0.12,3.77)\", \"bbox\": [388, 141, 428, 148]}, {\"cell\": \"0.64\", \"bbox\": [452, 141, 464, 148]}, {\"cell\": \"NA\", \"bbox\": [479, 141, 489, 148]}, {\"cell\": \"Others\", \"bbox\": [5, 154, 23, 162]}, {\"cell\": \"1.07 (0.65,1.78)\", \"bbox\": [60, 154, 100, 162]}, {\"cell\": \"0.78\", \"bbox\": [112, 154, 124, 162]}, {\"cell\": \"0.45\", \"bbox\": [134, 154, 147, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 154, 197, 162]}, {\"cell\": \"0.91\", \"bbox\": [205, 154, 218, 162]}, {\"cell\": \"0.68\", \"bbox\": [228, 154, 240, 162]}, {\"cell\": \"1.00 (0.65,1.53)\", \"bbox\": [255, 154, 296, 162]}, {\"cell\": \"1\", \"bbox\": [318, 154, 323, 162]}, {\"cell\": \"0.63\", \"bbox\": [346, 154, 358, 162]}, {\"cell\": \"1.06 (0.77,1.46)\", \"bbox\": [388, 154, 428, 162]}, {\"cell\": \"0.73\", \"bbox\": [452, 154, 464, 162]}, {\"cell\": \"0.65\", \"bbox\": [478, 154, 490, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5787435_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}339{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>RDM</b></td><td>[EMPTY_CELL]</td><td><b>HoDM</b></td><td>[EMPTY_CELL]</td><td><b>HTDM</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>Relative Intensity</i></b></td><td><b><i>SD</i></b></td><td><b><i>Relative Intensity</i></b></td><td><b><i>SD</i></b></td><td><b><i>Relative Intensity</i></b></td><td><b><i>SD</i></b></td><td><b><i>Significance</i></b></td></tr></thead><tbody><tr><td>0.848</td><td>0.009</td><td>[EMPTY_CELL]</td><td>0.094</td><td>0.947</td><td>0.113</td><td>NS</td></tr><tr><td>0.788</td><td>0.100</td><td>[EMPTY_CELL]</td><td>0.169</td><td>0.851</td><td>0.054</td><td>NS</td></tr><tr><td>1.91</td><td>0.117</td><td>[EMPTY_CELL]</td><td>0.219</td><td>1.93</td><td>0.052</td><td>NS</td></tr><tr><td>1.92</td><td>0.016</td><td>[EMPTY_CELL]</td><td>0.044</td><td>1.86</td><td>0.134</td><td>NS</td></tr><tr><td>2.98</td><td>0.644</td><td>[EMPTY_CELL]</td><td>0.178</td><td>3.34</td><td>0.190</td><td>NS</td></tr><tr><td>3.66 A</td><td>0.087</td><td>[EMPTY_CELL]</td><td>0.555</td><td>3.08 AB</td><td>0.483</td><td>*</td></tr><tr><td>5.01 B</td><td>0.068</td><td>[EMPTY_CELL]</td><td>0.263</td><td>5.46 C</td><td>0.226</td><td>***</td></tr><tr><td>2.33</td><td>0.056</td><td>[EMPTY_CELL]</td><td>0.113</td><td>2.53</td><td>0.112</td><td>*</td></tr><tr><td>2.60</td><td>0.097</td><td>[EMPTY_CELL]</td><td>0.347</td><td>2.26</td><td>0.210</td><td>NS</td></tr><tr><td>1.16</td><td>0.161</td><td>[EMPTY_CELL]</td><td>0.245</td><td>1.36</td><td>0.143</td><td>NS</td></tr><tr><td>3.37</td><td>0.036</td><td>[EMPTY_CELL]</td><td>0.66</td><td>2.88</td><td>0.122</td><td>NS</td></tr><tr><td>4.93</td><td>0.384</td><td>[EMPTY_CELL]</td><td>0.397</td><td>4.95</td><td>0.051</td><td>NS</td></tr><tr><td>1.91 A</td><td>0.025</td><td>[EMPTY_CELL]</td><td>0.164</td><td>2.12 A</td><td>0.286</td><td>*</td></tr><tr><td>3.12 A</td><td>0.291</td><td>[EMPTY_CELL]</td><td>0.225</td><td>3.62 AB</td><td>0.359</td><td>*</td></tr><tr><td>3.60</td><td>0.132</td><td>[EMPTY_CELL]</td><td>0.157</td><td>4.08</td><td>0.265</td><td>*</td></tr><tr><td>2.07 A</td><td>0.681</td><td>[EMPTY_CELL]</td><td>0.615</td><td>2.27 A</td><td>0.337</td><td>*</td></tr><tr><td>2.49 AB</td><td>0.631</td><td>[EMPTY_CELL]</td><td>0.581</td><td>2.20 A</td><td>0.528</td><td>*</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>RDM</b>\", \"bbox\": [31, 5, 55, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>HoDM</b>\", \"bbox\": [152, 5, 182, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>HTDM</b>\", \"bbox\": [258, 5, 310, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>Relative Intensity</i></b>\", \"bbox\": [7, 20, 80, 31]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [98, 20, 112, 31]}, {\"cell\": \"<b><i>Relative Intensity</i></b>\", \"bbox\": [130, 20, 203, 31]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [222, 20, 236, 31]}, {\"cell\": \"<b><i>Relative Intensity</i></b>\", \"bbox\": [254, 20, 327, 31]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [346, 20, 359, 31]}, {\"cell\": \"<b><i>Significance</i></b>\", \"bbox\": [379, 20, 428, 31]}, {\"cell\": \"0.848\", \"bbox\": [32, 36, 54, 44]}, {\"cell\": \"0.009\", \"bbox\": [94, 36, 116, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 36, 178, 44]}, {\"cell\": \"0.094\", \"bbox\": [218, 36, 240, 44]}, {\"cell\": \"0.947\", \"bbox\": [280, 36, 302, 44]}, {\"cell\": \"0.113\", \"bbox\": [342, 36, 363, 44]}, {\"cell\": \"NS\", \"bbox\": [397, 36, 411, 44]}, {\"cell\": \"0.788\", \"bbox\": [32, 47, 54, 55]}, {\"cell\": \"0.100\", \"bbox\": [94, 47, 116, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 47, 178, 55]}, {\"cell\": \"0.169\", \"bbox\": [218, 47, 240, 55]}, {\"cell\": \"0.851\", \"bbox\": [280, 47, 302, 55]}, {\"cell\": \"0.054\", \"bbox\": [342, 47, 363, 55]}, {\"cell\": \"NS\", \"bbox\": [397, 47, 411, 55]}, {\"cell\": \"1.91\", \"bbox\": [34, 57, 52, 66]}, {\"cell\": \"0.117\", \"bbox\": [94, 57, 116, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 57, 176, 66]}, {\"cell\": \"0.219\", \"bbox\": [218, 57, 240, 66]}, {\"cell\": \"1.93\", \"bbox\": [282, 57, 299, 66]}, {\"cell\": \"0.052\", \"bbox\": [342, 57, 363, 66]}, {\"cell\": \"NS\", \"bbox\": [397, 57, 411, 66]}, {\"cell\": \"1.92\", \"bbox\": [34, 68, 52, 77]}, {\"cell\": \"0.016\", \"bbox\": [94, 68, 116, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 68, 176, 77]}, {\"cell\": \"0.044\", \"bbox\": [218, 68, 240, 77]}, {\"cell\": \"1.86\", \"bbox\": [282, 68, 299, 77]}, {\"cell\": \"0.134\", \"bbox\": [342, 68, 363, 77]}, {\"cell\": \"NS\", \"bbox\": [397, 68, 411, 77]}, {\"cell\": \"2.98\", \"bbox\": [34, 79, 52, 87]}, {\"cell\": \"0.644\", \"bbox\": [94, 79, 116, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 79, 176, 87]}, {\"cell\": \"0.178\", \"bbox\": [218, 79, 240, 87]}, {\"cell\": \"3.34\", \"bbox\": [282, 79, 299, 87]}, {\"cell\": \"0.190\", \"bbox\": [342, 79, 363, 87]}, {\"cell\": \"NS\", \"bbox\": [397, 79, 411, 87]}, {\"cell\": \"3.66 A\", \"bbox\": [30, 90, 56, 98]}, {\"cell\": \"0.087\", \"bbox\": [94, 90, 116, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 90, 179, 98]}, {\"cell\": \"0.555\", \"bbox\": [218, 90, 240, 98]}, {\"cell\": \"3.08 AB\", \"bbox\": [275, 90, 307, 98]}, {\"cell\": \"0.483\", \"bbox\": [342, 90, 363, 98]}, {\"cell\": \"*\", \"bbox\": [401, 90, 407, 98]}, {\"cell\": \"5.01 B\", \"bbox\": [31, 101, 56, 109]}, {\"cell\": \"0.068\", \"bbox\": [94, 101, 116, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 101, 180, 109]}, {\"cell\": \"0.263\", \"bbox\": [218, 101, 240, 109]}, {\"cell\": \"5.46 C\", \"bbox\": [278, 101, 304, 109]}, {\"cell\": \"0.226\", \"bbox\": [342, 101, 363, 109]}, {\"cell\": \"***\", \"bbox\": [398, 101, 410, 109]}, {\"cell\": \"2.33\", \"bbox\": [34, 111, 52, 120]}, {\"cell\": \"0.056\", \"bbox\": [94, 111, 116, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 111, 176, 120]}, {\"cell\": \"0.113\", \"bbox\": [218, 111, 240, 120]}, {\"cell\": \"2.53\", \"bbox\": [282, 111, 299, 120]}, {\"cell\": \"0.112\", \"bbox\": [342, 111, 363, 120]}, {\"cell\": \"*\", \"bbox\": [401, 111, 407, 120]}, {\"cell\": \"2.60\", \"bbox\": [34, 122, 52, 131]}, {\"cell\": \"0.097\", \"bbox\": [94, 122, 116, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 122, 176, 131]}, {\"cell\": \"0.347\", \"bbox\": [218, 122, 240, 131]}, {\"cell\": \"2.26\", \"bbox\": [282, 122, 299, 131]}, {\"cell\": \"0.210\", \"bbox\": [342, 122, 363, 131]}, {\"cell\": \"NS\", \"bbox\": [397, 122, 411, 131]}, {\"cell\": \"1.16\", \"bbox\": [34, 133, 52, 141]}, {\"cell\": \"0.161\", \"bbox\": [94, 133, 116, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 133, 176, 141]}, {\"cell\": \"0.245\", \"bbox\": [218, 133, 240, 141]}, {\"cell\": \"1.36\", \"bbox\": [282, 133, 299, 141]}, {\"cell\": \"0.143\", \"bbox\": [342, 133, 363, 141]}, {\"cell\": \"NS\", \"bbox\": [397, 133, 411, 141]}, {\"cell\": \"3.37\", \"bbox\": [34, 144, 52, 152]}, {\"cell\": \"0.036\", \"bbox\": [94, 144, 116, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 144, 176, 152]}, {\"cell\": \"0.66\", \"bbox\": [220, 144, 237, 152]}, {\"cell\": \"2.88\", \"bbox\": [282, 144, 299, 152]}, {\"cell\": \"0.122\", \"bbox\": [342, 144, 363, 152]}, {\"cell\": \"NS\", \"bbox\": [397, 144, 411, 152]}, {\"cell\": \"4.93\", \"bbox\": [34, 155, 52, 163]}, {\"cell\": \"0.384\", \"bbox\": [94, 155, 116, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 155, 176, 163]}, {\"cell\": \"0.397\", \"bbox\": [218, 155, 240, 163]}, {\"cell\": \"4.95\", \"bbox\": [282, 155, 299, 163]}, {\"cell\": \"0.051\", \"bbox\": [342, 155, 363, 163]}, {\"cell\": \"NS\", \"bbox\": [397, 155, 411, 163]}, {\"cell\": \"1.91 A\", \"bbox\": [30, 165, 56, 174]}, {\"cell\": \"0.025\", \"bbox\": [94, 165, 116, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 165, 179, 174]}, {\"cell\": \"0.164\", \"bbox\": [218, 165, 240, 174]}, {\"cell\": \"2.12 A\", \"bbox\": [277, 165, 304, 174]}, {\"cell\": \"0.286\", \"bbox\": [342, 165, 363, 174]}, {\"cell\": \"*\", \"bbox\": [401, 165, 407, 174]}, {\"cell\": \"3.12 A\", \"bbox\": [30, 176, 56, 185]}, {\"cell\": \"0.291\", \"bbox\": [94, 176, 116, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 176, 179, 185]}, {\"cell\": \"0.225\", \"bbox\": [218, 176, 240, 185]}, {\"cell\": \"3.62 AB\", \"bbox\": [275, 176, 307, 185]}, {\"cell\": \"0.359\", \"bbox\": [342, 176, 363, 185]}, {\"cell\": \"*\", \"bbox\": [401, 176, 407, 185]}, {\"cell\": \"3.60\", \"bbox\": [34, 187, 52, 195]}, {\"cell\": \"0.132\", \"bbox\": [94, 187, 116, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 187, 176, 195]}, {\"cell\": \"0.157\", \"bbox\": [218, 187, 240, 195]}, {\"cell\": \"4.08\", \"bbox\": [282, 187, 299, 195]}, {\"cell\": \"0.265\", \"bbox\": [342, 187, 363, 195]}, {\"cell\": \"*\", \"bbox\": [401, 187, 407, 195]}, {\"cell\": \"2.07 A\", \"bbox\": [30, 198, 56, 206]}, {\"cell\": \"0.681\", \"bbox\": [94, 198, 116, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 198, 179, 206]}, {\"cell\": \"0.615\", \"bbox\": [218, 198, 240, 206]}, {\"cell\": \"2.27 A\", \"bbox\": [277, 198, 304, 206]}, {\"cell\": \"0.337\", \"bbox\": [342, 198, 363, 206]}, {\"cell\": \"*\", \"bbox\": [401, 198, 407, 206]}, {\"cell\": \"2.49 AB\", \"bbox\": [27, 209, 59, 217]}, {\"cell\": \"0.631\", \"bbox\": [94, 209, 116, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 209, 179, 217]}, {\"cell\": \"0.581\", \"bbox\": [218, 209, 240, 217]}, {\"cell\": \"2.20 A\", \"bbox\": [277, 209, 304, 217]}, {\"cell\": \"0.528\", \"bbox\": [342, 209, 363, 217]}, {\"cell\": \"*\", \"bbox\": [401, 209, 407, 217]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5753630_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}340{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Name</b></td><td><b>Treatment</b></td><td colspan=\\\"7\\\"><b>Storage days</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>0</b></td><td><b>2</b></td><td><b>4</b></td><td><b>6</b></td><td><b>8</b></td><td><b>10</b></td><td><b>12</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Control</td><td>1.00 ± 0.05</td><td>1.19 ± 0.04</td><td>0.54 ± 0.024</td><td>0.81 ± 0.065</td><td>0.48 ± 0.032</td><td>0.37 ± 0.021</td><td>0.42 ± 0.021*</td></tr><tr><td>[EMPTY_CELL]</td><td>Hexaldehyde</td><td>1.00 ± 0.04</td><td>1.20 ± 0.032</td><td>0.59 ± 0.024</td><td>0.83 ± 0.025</td><td>0.46 ± 0.011</td><td>0.36 ± 0.021</td><td>0.57 ± 0.018</td></tr><tr><td>[EMPTY_CELL]</td><td>Control</td><td>1.00 ± 0.37</td><td>0.91 ± 0.19*</td><td>0.77 ± 0.15*</td><td>0.79 ± 0.13*</td><td>1.32 ± 0.19*</td><td>2.00 ± 0.088*</td><td>1.98 ± 0.25*</td></tr><tr><td>[EMPTY_CELL]</td><td>Hexaldehyde</td><td>1.00 ± 0.073</td><td>2.02 ± 0.32</td><td>2.59 ± 0.18</td><td>2.49 ± 0.15</td><td>3.19 ± 0.15</td><td>3.28 ± 0.15</td><td>11.29 ± 0.27</td></tr><tr><td>[EMPTY_CELL]</td><td>Control</td><td>1.00 ± 0.05</td><td>1.12 ± 0.15</td><td>1.18 ± 0.099</td><td>0.94 ± 0.033</td><td>1.17 ± 0.018</td><td>0.58 ± 0.058</td><td>0.54 ± 0.21</td></tr><tr><td>[EMPTY_CELL]</td><td>Hexaldehyde</td><td>1.00 ± 0.04</td><td>1.20 ± 0.06</td><td>1.09 ± 0.035</td><td>1.03 ± 0.078</td><td>1.11 ± 0.095</td><td>0.62 ± 0.027</td><td>0.57 ± 0.035</td></tr><tr><td>[EMPTY_CELL]</td><td>Control</td><td>1.00 ± 0.039</td><td>0.63 ± 0.084</td><td>0.60 ± 0.021*</td><td>0.16 ± 0.038</td><td>0.17 ± 0.048</td><td>0.34 ± 0.015</td><td>0.35 ± 0.036</td></tr><tr><td>[EMPTY_CELL]</td><td>Hexaldehyde</td><td>1.00 ± 0.06</td><td>0.22 ± 0.028*</td><td>0.73 ± 0.049</td><td>0.14 ± 0.021</td><td>0.18 ± 0.012</td><td>0.10 ± 0.046*</td><td>0.26 ± 0.013*</td></tr><tr><td>[EMPTY_CELL]</td><td>Control</td><td>1.00 ± 0.021</td><td>0.92 ± 0.042</td><td>1.15 ± 0.01</td><td>1.13 ± 0.008</td><td>1.12 ± 0.007</td><td>0.74 ± 0.051*</td><td>0.72 ± 0.042</td></tr><tr><td>[EMPTY_CELL]</td><td>Hexaldehyde</td><td>1.00 ± 0.034</td><td>0.88 ± 0.035</td><td>1.16 ± 0.008</td><td>1.03 ± 0.041*</td><td>1.06 ± 0.01</td><td>1.01 ± 0.006</td><td>0.78 ± 0.042</td></tr><tr><td>[EMPTY_CELL]</td><td>Control</td><td>1.00 ± 0.15</td><td>1.80 ± 0.19*</td><td>3.89 ± 0.19</td><td>4.39 ± 0.28*</td><td>3.67 ± 0.15</td><td>4.55 ± 0.26</td><td>4.32 ± 0.44</td></tr><tr><td>[EMPTY_CELL]</td><td>Hexaldehyde</td><td>1.00 ± 0.14</td><td>2.11 ± 0.16</td><td>2.63 ± 0.55*</td><td>5.78 ± 0.25</td><td>3.53 ± 0.16</td><td>1.64 ± 0.63*</td><td>2.89 ± 0.17*</td></tr><tr><td>[EMPTY_CELL]</td><td>Control</td><td>1.00 ± 0.088</td><td>1.79 ± 0.12*</td><td>4.59 ± 0.34</td><td>4.28 ± 0.28</td><td>2.37 ± 0.15</td><td>1.97 ± 0.12</td><td>3.05 ± 0.27</td></tr><tr><td>[EMPTY_CELL]</td><td>Hexaldehyde</td><td>1.00 ± 0.079</td><td>2.23 ± 0.18</td><td>1.86 ± 0.15*</td><td>3.19 ± 0.17*</td><td>2.49 ± 0.14</td><td>2.03 ± 0.13</td><td>2.42 ± 0.24*</td></tr><tr><td>[EMPTY_CELL]</td><td>Control</td><td>1.00 ± 0.045</td><td>1.98 ± 0.086</td><td>3.87 ± 0.15</td><td>3.90 ± 0.16</td><td>3.12 ± 0.15</td><td>1.74 ± 0.15*</td><td>2.48 ± 0.16</td></tr><tr><td>[EMPTY_CELL]</td><td>Hexaldehyde</td><td>1.00 ± 0.057</td><td>1.34 ± 0.086*</td><td>1.66 ± 0.15*</td><td>3.42 ± 0.20*</td><td>3.01 ± 0.19</td><td>3.48 ± 0.19</td><td>2.52 ± 0.096</td></tr><tr><td>[EMPTY_CELL]</td><td>Control</td><td>1.00 ± 0.19</td><td>1.25 ± 0.049</td><td>2.05 ± 0.14</td><td>2.36 ± 0.038</td><td>1.89 ± 0.18</td><td>1.04 ± 0.16</td><td>1.60 ± 0.12</td></tr><tr><td>[EMPTY_CELL]</td><td>Hexaldehyde</td><td>1.00 ± 0.054</td><td>0.49 ± 0.024*</td><td>0.51 ± 0.042*</td><td>0.67 ± 0.051*</td><td>0.80 ± 0.067*</td><td>0.55 ± 0.042*</td><td>0.53 ± 0.025*</td></tr><tr><td>[EMPTY_CELL]</td><td>Control</td><td>1.00 ± 0.031</td><td>1.49 ± 0.061</td><td>2.07 ± 0.14</td><td>4.21 ± 0.15</td><td>1.33 ± 0.069*</td><td>1.88 ± 0.14</td><td>2.15 ± 0.12</td></tr><tr><td>[EMPTY_CELL]</td><td>Hexaldehyde</td><td>1.00 ± 0.18</td><td>1.19 ± 0.14*</td><td>0.87 ± 0.038*</td><td>2.38 ± 0.087*</td><td>1.83 ± 0.041</td><td>1.65 ± 0.079</td><td>1.94 ± 0.057</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Name</b>\", \"bbox\": [1, 6, 22, 15]}, {\"cell\": \"<b>Treatment</b>\", \"bbox\": [28, 6, 64, 15]}, {\"cell\": \"<b>Storage days</b>\", \"bbox\": [264, 6, 310, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0</b>\", \"bbox\": [97, 26, 103, 34]}, {\"cell\": \"<b>2</b>\", \"bbox\": [157, 26, 163, 34]}, {\"cell\": \"<b>4</b>\", \"bbox\": [221, 26, 227, 34]}, {\"cell\": \"<b>6</b>\", \"bbox\": [284, 26, 290, 34]}, {\"cell\": \"<b>8</b>\", \"bbox\": [347, 26, 353, 34]}, {\"cell\": \"<b>10</b>\", \"bbox\": [409, 26, 418, 34]}, {\"cell\": \"<b>12</b>\", \"bbox\": [469, 26, 479, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 19, 52]}, {\"cell\": \"Control\", \"bbox\": [28, 43, 52, 51]}, {\"cell\": \"1.00 ± 0.05\", \"bbox\": [84, 43, 122, 51]}, {\"cell\": \"1.19 ± 0.04\", \"bbox\": [144, 43, 182, 51]}, {\"cell\": \"0.54 ± 0.024\", \"bbox\": [207, 43, 250, 51]}, {\"cell\": \"0.81 ± 0.065\", \"bbox\": [270, 43, 313, 51]}, {\"cell\": \"0.48 ± 0.032\", \"bbox\": [334, 43, 376, 51]}, {\"cell\": \"0.37 ± 0.021\", \"bbox\": [397, 43, 439, 51]}, {\"cell\": \"0.42 ± 0.021*\", \"bbox\": [460, 42, 506, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 54, 69, 63]}, {\"cell\": \"1.00 ± 0.04\", \"bbox\": [84, 54, 122, 63]}, {\"cell\": \"1.20 ± 0.032\", \"bbox\": [144, 54, 186, 63]}, {\"cell\": \"0.59 ± 0.024\", \"bbox\": [207, 54, 250, 63]}, {\"cell\": \"0.83 ± 0.025\", \"bbox\": [270, 54, 313, 63]}, {\"cell\": \"0.46 ± 0.011\", \"bbox\": [334, 54, 376, 63]}, {\"cell\": \"0.36 ± 0.021\", \"bbox\": [397, 54, 439, 63]}, {\"cell\": \"0.57 ± 0.018\", \"bbox\": [460, 54, 503, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 66, 19, 74]}, {\"cell\": \"Control\", \"bbox\": [28, 66, 52, 74]}, {\"cell\": \"1.00 ± 0.37\", \"bbox\": [84, 66, 122, 74]}, {\"cell\": \"0.91 ± 0.19*\", \"bbox\": [144, 65, 185, 74]}, {\"cell\": \"0.77 ± 0.15*\", \"bbox\": [207, 65, 248, 74]}, {\"cell\": \"0.79 ± 0.13*\", \"bbox\": [270, 65, 312, 74]}, {\"cell\": \"1.32 ± 0.19*\", \"bbox\": [334, 65, 375, 74]}, {\"cell\": \"2.00 ± 0.088*\", \"bbox\": [397, 65, 442, 74]}, {\"cell\": \"1.98 ± 0.25*\", \"bbox\": [460, 65, 502, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 77, 69, 85]}, {\"cell\": \"1.00 ± 0.073\", \"bbox\": [84, 77, 126, 85]}, {\"cell\": \"2.02 ± 0.32\", \"bbox\": [144, 77, 182, 85]}, {\"cell\": \"2.59 ± 0.18\", \"bbox\": [207, 77, 246, 85]}, {\"cell\": \"2.49 ± 0.15\", \"bbox\": [270, 77, 309, 85]}, {\"cell\": \"3.19 ± 0.15\", \"bbox\": [334, 77, 372, 85]}, {\"cell\": \"3.28 ± 0.15\", \"bbox\": [397, 77, 436, 85]}, {\"cell\": \"11.29 ± 0.27\", \"bbox\": [456, 77, 499, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 88, 19, 97]}, {\"cell\": \"Control\", \"bbox\": [28, 88, 52, 97]}, {\"cell\": \"1.00 ± 0.05\", \"bbox\": [84, 88, 122, 97]}, {\"cell\": \"1.12 ± 0.15\", \"bbox\": [144, 88, 182, 97]}, {\"cell\": \"1.18 ± 0.099\", \"bbox\": [207, 88, 250, 97]}, {\"cell\": \"0.94 ± 0.033\", \"bbox\": [270, 88, 313, 97]}, {\"cell\": \"1.17 ± 0.018\", \"bbox\": [334, 88, 376, 97]}, {\"cell\": \"0.58 ± 0.058\", \"bbox\": [397, 88, 439, 97]}, {\"cell\": \"0.54 ± 0.21\", \"bbox\": [460, 88, 499, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 100, 69, 108]}, {\"cell\": \"1.00 ± 0.04\", \"bbox\": [84, 100, 122, 108]}, {\"cell\": \"1.20 ± 0.06\", \"bbox\": [144, 100, 182, 108]}, {\"cell\": \"1.09 ± 0.035\", \"bbox\": [207, 100, 250, 108]}, {\"cell\": \"1.03 ± 0.078\", \"bbox\": [270, 100, 313, 108]}, {\"cell\": \"1.11 ± 0.095\", \"bbox\": [334, 100, 376, 108]}, {\"cell\": \"0.62 ± 0.027\", \"bbox\": [397, 100, 439, 108]}, {\"cell\": \"0.57 ± 0.035\", \"bbox\": [460, 100, 503, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 19, 120]}, {\"cell\": \"Control\", \"bbox\": [28, 111, 52, 120]}, {\"cell\": \"1.00 ± 0.039\", \"bbox\": [84, 111, 126, 120]}, {\"cell\": \"0.63 ± 0.084\", \"bbox\": [144, 111, 186, 120]}, {\"cell\": \"0.60 ± 0.021*\", \"bbox\": [207, 110, 252, 120]}, {\"cell\": \"0.16 ± 0.038\", \"bbox\": [270, 111, 313, 120]}, {\"cell\": \"0.17 ± 0.048\", \"bbox\": [334, 111, 376, 120]}, {\"cell\": \"0.34 ± 0.015\", \"bbox\": [397, 111, 439, 120]}, {\"cell\": \"0.35 ± 0.036\", \"bbox\": [460, 111, 503, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 122, 69, 131]}, {\"cell\": \"1.00 ± 0.06\", \"bbox\": [84, 122, 122, 131]}, {\"cell\": \"0.22 ± 0.028*\", \"bbox\": [144, 121, 189, 131]}, {\"cell\": \"0.73 ± 0.049\", \"bbox\": [207, 122, 250, 131]}, {\"cell\": \"0.14 ± 0.021\", \"bbox\": [270, 122, 313, 131]}, {\"cell\": \"0.18 ± 0.012\", \"bbox\": [334, 122, 376, 131]}, {\"cell\": \"0.10 ± 0.046*\", \"bbox\": [397, 121, 442, 131]}, {\"cell\": \"0.26 ± 0.013*\", \"bbox\": [460, 121, 506, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 134, 19, 142]}, {\"cell\": \"Control\", \"bbox\": [28, 134, 52, 142]}, {\"cell\": \"1.00 ± 0.021\", \"bbox\": [84, 134, 126, 142]}, {\"cell\": \"0.92 ± 0.042\", \"bbox\": [144, 134, 186, 142]}, {\"cell\": \"1.15 ± 0.01\", \"bbox\": [207, 134, 246, 142]}, {\"cell\": \"1.13 ± 0.008\", \"bbox\": [270, 134, 313, 142]}, {\"cell\": \"1.12 ± 0.007\", \"bbox\": [334, 134, 376, 142]}, {\"cell\": \"0.74 ± 0.051*\", \"bbox\": [397, 133, 442, 142]}, {\"cell\": \"0.72 ± 0.042\", \"bbox\": [460, 134, 503, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 145, 69, 154]}, {\"cell\": \"1.00 ± 0.034\", \"bbox\": [84, 145, 126, 154]}, {\"cell\": \"0.88 ± 0.035\", \"bbox\": [144, 145, 186, 154]}, {\"cell\": \"1.16 ± 0.008\", \"bbox\": [207, 145, 250, 154]}, {\"cell\": \"1.03 ± 0.041*\", \"bbox\": [270, 144, 316, 154]}, {\"cell\": \"1.06 ± 0.01\", \"bbox\": [334, 145, 372, 154]}, {\"cell\": \"1.01 ± 0.006\", \"bbox\": [397, 145, 439, 154]}, {\"cell\": \"0.78 ± 0.042\", \"bbox\": [460, 145, 503, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 19, 165]}, {\"cell\": \"Control\", \"bbox\": [28, 157, 52, 165]}, {\"cell\": \"1.00 ± 0.15\", \"bbox\": [84, 157, 122, 165]}, {\"cell\": \"1.80 ± 0.19*\", \"bbox\": [144, 156, 185, 165]}, {\"cell\": \"3.89 ± 0.19\", \"bbox\": [207, 157, 246, 165]}, {\"cell\": \"4.39 ± 0.28*\", \"bbox\": [270, 156, 312, 165]}, {\"cell\": \"3.67 ± 0.15\", \"bbox\": [334, 157, 372, 165]}, {\"cell\": \"4.55 ± 0.26\", \"bbox\": [397, 157, 436, 165]}, {\"cell\": \"4.32 ± 0.44\", \"bbox\": [460, 157, 499, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 168, 69, 176]}, {\"cell\": \"1.00 ± 0.14\", \"bbox\": [84, 168, 122, 176]}, {\"cell\": \"2.11 ± 0.16\", \"bbox\": [144, 168, 182, 176]}, {\"cell\": \"2.63 ± 0.55*\", \"bbox\": [207, 167, 248, 176]}, {\"cell\": \"5.78 ± 0.25\", \"bbox\": [270, 168, 309, 176]}, {\"cell\": \"3.53 ± 0.16\", \"bbox\": [334, 168, 372, 176]}, {\"cell\": \"1.64 ± 0.63*\", \"bbox\": [397, 167, 438, 176]}, {\"cell\": \"2.89 ± 0.17*\", \"bbox\": [460, 167, 502, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 19, 188]}, {\"cell\": \"Control\", \"bbox\": [28, 179, 52, 188]}, {\"cell\": \"1.00 ± 0.088\", \"bbox\": [84, 179, 126, 188]}, {\"cell\": \"1.79 ± 0.12*\", \"bbox\": [144, 178, 185, 188]}, {\"cell\": \"4.59 ± 0.34\", \"bbox\": [207, 179, 246, 188]}, {\"cell\": \"4.28 ± 0.28\", \"bbox\": [270, 179, 309, 188]}, {\"cell\": \"2.37 ± 0.15\", \"bbox\": [334, 179, 372, 188]}, {\"cell\": \"1.97 ± 0.12\", \"bbox\": [397, 179, 436, 188]}, {\"cell\": \"3.05 ± 0.27\", \"bbox\": [460, 179, 499, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 191, 69, 199]}, {\"cell\": \"1.00 ± 0.079\", \"bbox\": [84, 191, 126, 199]}, {\"cell\": \"2.23 ± 0.18\", \"bbox\": [144, 191, 182, 199]}, {\"cell\": \"1.86 ± 0.15*\", \"bbox\": [207, 190, 248, 199]}, {\"cell\": \"3.19 ± 0.17*\", \"bbox\": [270, 190, 312, 199]}, {\"cell\": \"2.49 ± 0.14\", \"bbox\": [334, 191, 372, 199]}, {\"cell\": \"2.03 ± 0.13\", \"bbox\": [397, 191, 436, 199]}, {\"cell\": \"2.42 ± 0.24*\", \"bbox\": [460, 190, 502, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 202, 19, 211]}, {\"cell\": \"Control\", \"bbox\": [28, 202, 52, 210]}, {\"cell\": \"1.00 ± 0.045\", \"bbox\": [84, 202, 126, 210]}, {\"cell\": \"1.98 ± 0.086\", \"bbox\": [144, 202, 186, 210]}, {\"cell\": \"3.87 ± 0.15\", \"bbox\": [207, 202, 246, 210]}, {\"cell\": \"3.90 ± 0.16\", \"bbox\": [270, 202, 309, 210]}, {\"cell\": \"3.12 ± 0.15\", \"bbox\": [334, 202, 372, 210]}, {\"cell\": \"1.74 ± 0.15*\", \"bbox\": [397, 201, 438, 210]}, {\"cell\": \"2.48 ± 0.16\", \"bbox\": [460, 202, 499, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 213, 69, 222]}, {\"cell\": \"1.00 ± 0.057\", \"bbox\": [84, 213, 126, 222]}, {\"cell\": \"1.34 ± 0.086*\", \"bbox\": [144, 212, 189, 222]}, {\"cell\": \"1.66 ± 0.15*\", \"bbox\": [207, 212, 248, 222]}, {\"cell\": \"3.42 ± 0.20*\", \"bbox\": [270, 212, 312, 222]}, {\"cell\": \"3.01 ± 0.19\", \"bbox\": [334, 213, 372, 222]}, {\"cell\": \"3.48 ± 0.19\", \"bbox\": [397, 213, 436, 222]}, {\"cell\": \"2.52 ± 0.096\", \"bbox\": [460, 213, 503, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 19, 233]}, {\"cell\": \"Control\", \"bbox\": [28, 225, 52, 233]}, {\"cell\": \"1.00 ± 0.19\", \"bbox\": [84, 225, 122, 233]}, {\"cell\": \"1.25 ± 0.049\", \"bbox\": [144, 225, 186, 233]}, {\"cell\": \"2.05 ± 0.14\", \"bbox\": [207, 225, 246, 233]}, {\"cell\": \"2.36 ± 0.038\", \"bbox\": [270, 225, 313, 233]}, {\"cell\": \"1.89 ± 0.18\", \"bbox\": [334, 225, 372, 233]}, {\"cell\": \"1.04 ± 0.16\", \"bbox\": [397, 225, 436, 233]}, {\"cell\": \"1.60 ± 0.12\", \"bbox\": [460, 225, 499, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 236, 69, 244]}, {\"cell\": \"1.00 ± 0.054\", \"bbox\": [84, 236, 126, 244]}, {\"cell\": \"0.49 ± 0.024*\", \"bbox\": [144, 235, 189, 244]}, {\"cell\": \"0.51 ± 0.042*\", \"bbox\": [207, 235, 252, 244]}, {\"cell\": \"0.67 ± 0.051*\", \"bbox\": [270, 235, 316, 244]}, {\"cell\": \"0.80 ± 0.067*\", \"bbox\": [334, 235, 379, 244]}, {\"cell\": \"0.55 ± 0.042*\", \"bbox\": [397, 235, 442, 244]}, {\"cell\": \"0.53 ± 0.025*\", \"bbox\": [460, 235, 506, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 247, 23, 256]}, {\"cell\": \"Control\", \"bbox\": [28, 247, 52, 256]}, {\"cell\": \"1.00 ± 0.031\", \"bbox\": [84, 247, 126, 256]}, {\"cell\": \"1.49 ± 0.061\", \"bbox\": [144, 247, 186, 256]}, {\"cell\": \"2.07 ± 0.14\", \"bbox\": [207, 247, 246, 256]}, {\"cell\": \"4.21 ± 0.15\", \"bbox\": [270, 247, 309, 256]}, {\"cell\": \"1.33 ± 0.069*\", \"bbox\": [334, 246, 379, 256]}, {\"cell\": \"1.88 ± 0.14\", \"bbox\": [397, 247, 436, 256]}, {\"cell\": \"2.15 ± 0.12\", \"bbox\": [460, 247, 499, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hexaldehyde\", \"bbox\": [28, 259, 69, 267]}, {\"cell\": \"1.00 ± 0.18\", \"bbox\": [84, 259, 122, 267]}, {\"cell\": \"1.19 ± 0.14*\", \"bbox\": [144, 258, 185, 267]}, {\"cell\": \"0.87 ± 0.038*\", \"bbox\": [207, 258, 252, 267]}, {\"cell\": \"2.38 ± 0.087*\", \"bbox\": [270, 258, 316, 267]}, {\"cell\": \"1.83 ± 0.041\", \"bbox\": [334, 259, 376, 267]}, {\"cell\": \"1.65 ± 0.079\", \"bbox\": [397, 259, 439, 267]}, {\"cell\": \"1.94 ± 0.057\", \"bbox\": [460, 259, 503, 267]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5474486_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}341{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Determinants of overall satisfaction</b></td><td><b>Number (n = 119) n (%)</b></td><td><b>Outcome highly satisfied n (%)</b></td><td><b>Measure of association</b></td><td><b>p value</b></td></tr></thead><tbody><tr><td><b>Hospital where screened</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td rowspan=\\\"5\\\">χ<sup>2</sup> = 3.693</td><td rowspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>A</td><td>25 (21.01)</td><td>23 (92.00)</td></tr><tr><td>B</td><td>16 (13.45)</td><td>3 (18.75)</td></tr><tr><td>C</td><td>29 (24.37)</td><td>28 (96.55)</td></tr><tr><td>D</td><td>49 (41.18)</td><td>49 (100.00)</td></tr><tr><td><b>Gender</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td rowspan=\\\"3\\\">χ<sup>2</sup> = 2.910</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>Male</td><td>51 (42.86)</td><td>42 (82.35)</td></tr><tr><td>Female</td><td>68 (57.14)</td><td>61 (89.71)</td></tr><tr><td><b>Ethnicity</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td rowspan=\\\"4\\\">Fishers Exact test</td><td rowspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>Sinhalese</td><td>1(0.84)</td><td>1 (100.00)</td></tr><tr><td>Tamil</td><td>94 (78.99)</td><td>80 (85.11)</td></tr><tr><td>Muslim</td><td>24 (20.17)</td><td>22 (91.67)</td></tr><tr><td><b>Highest Level of education completed</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td rowspan=\\\"4\\\">Fishers Exact test</td><td rowspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>No formal education</td><td>6 (5.04)</td><td>4 (66.07)</td></tr><tr><td>Primary</td><td>79 (66.39)</td><td>68 (86.08)</td></tr><tr><td>Secondary or above</td><td>34 (28.37)</td><td>31 (91.18)</td></tr><tr><td><b>Aware that the service is free</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td rowspan=\\\"3\\\">χ<sup>2</sup> = 22.721</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>112 (94.12)</td><td>102 (91.07)</td></tr><tr><td>No</td><td>7 (5.88)</td><td>1 (14.29)</td></tr><tr><td><b>Satisfaction level with comfort of the laboratory</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td rowspan=\\\"6\\\">χ<sup>2</sup> = 8.291</td><td rowspan=\\\"6\\\">[EMPTY_CELL]</td></tr><tr><td>Highly satisfied</td><td>99 (83.19)</td><td>95 (95.96)</td></tr><tr><td>Somewhat satisfied</td><td>10 (8.40)</td><td>6 (60.00)</td></tr><tr><td>Neutral</td><td>7 (5.88)</td><td>1 (14.29)</td></tr><tr><td>Somewhat dissatisfied</td><td>3 (2.52)</td><td>1 (33.33)</td></tr><tr><td>Highly dissatisfied</td><td>0 (0.00)</td><td>0 (0.00)</td></tr><tr><td><b>Satisfaction with waiting time</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td rowspan=\\\"5\\\">χ<sup>2</sup> = 3.819</td><td rowspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>Highly satisfied</td><td>90 (75.63)</td><td>87 (96.67)</td></tr><tr><td>Somewhat satisfied</td><td>17 (14.29)</td><td>15 (88.24)</td></tr><tr><td>Neutral</td><td>9 (7.56)</td><td>1 (11.11)</td></tr><tr><td>Somewhat dissatisfied</td><td>2 (1.68)</td><td>0 (0.00)</td></tr><tr><td>Highly dissatisfied</td><td>1 (0.84)</td><td>0 (0.00)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Determinants of overall satisfaction</b>\", \"bbox\": [1, 4, 126, 13]}, {\"cell\": \"<b>Number (n = 119) n (%)</b>\", \"bbox\": [192, 4, 275, 13]}, {\"cell\": \"<b>Outcome highly satisfied n (%)</b>\", \"bbox\": [298, 4, 355, 22]}, {\"cell\": \"<b>Measure of association</b>\", \"bbox\": [378, 4, 419, 22]}, {\"cell\": \"<b>p value</b>\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"<b>Hospital where screened</b>\", \"bbox\": [1, 26, 88, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ<sup>2</sup> = 3.693\", \"bbox\": [378, 24, 411, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 26, 480, 36]}, {\"cell\": \"A\", \"bbox\": [1, 40, 7, 50]}, {\"cell\": \"25 (21.01)\", \"bbox\": [192, 40, 225, 50]}, {\"cell\": \"23 (92.00)\", \"bbox\": [298, 40, 330, 50]}, {\"cell\": \"B\", \"bbox\": [1, 54, 7, 64]}, {\"cell\": \"16 (13.45)\", \"bbox\": [192, 54, 225, 64]}, {\"cell\": \"3 (18.75)\", \"bbox\": [298, 54, 327, 64]}, {\"cell\": \"C\", \"bbox\": [1, 68, 7, 78]}, {\"cell\": \"29 (24.37)\", \"bbox\": [192, 68, 225, 78]}, {\"cell\": \"28 (96.55)\", \"bbox\": [298, 68, 330, 78]}, {\"cell\": \"D\", \"bbox\": [1, 82, 8, 92]}, {\"cell\": \"49 (41.18)\", \"bbox\": [192, 82, 225, 92]}, {\"cell\": \"49 (100.00)\", \"bbox\": [298, 82, 334, 92]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [1, 96, 28, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ<sup>2</sup> = 2.910\", \"bbox\": [378, 94, 411, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 96, 475, 106]}, {\"cell\": \"Male\", \"bbox\": [1, 110, 18, 120]}, {\"cell\": \"51 (42.86)\", \"bbox\": [192, 110, 225, 120]}, {\"cell\": \"42 (82.35)\", \"bbox\": [298, 110, 330, 120]}, {\"cell\": \"Female\", \"bbox\": [1, 124, 26, 134]}, {\"cell\": \"68 (57.14)\", \"bbox\": [192, 124, 225, 134]}, {\"cell\": \"61 (89.71)\", \"bbox\": [298, 124, 330, 134]}, {\"cell\": \"<b>Ethnicity</b>\", \"bbox\": [1, 138, 33, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fishers Exact test\", \"bbox\": [378, 138, 434, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 138, 475, 148]}, {\"cell\": \"Sinhalese\", \"bbox\": [1, 152, 32, 162]}, {\"cell\": \"1(0.84)\", \"bbox\": [192, 152, 215, 162]}, {\"cell\": \"1 (100.00)\", \"bbox\": [298, 152, 331, 162]}, {\"cell\": \"Tamil\", \"bbox\": [1, 166, 20, 176]}, {\"cell\": \"94 (78.99)\", \"bbox\": [192, 166, 225, 176]}, {\"cell\": \"80 (85.11)\", \"bbox\": [298, 166, 330, 176]}, {\"cell\": \"Muslim\", \"bbox\": [1, 180, 26, 190]}, {\"cell\": \"24 (20.17)\", \"bbox\": [192, 180, 225, 190]}, {\"cell\": \"22 (91.67)\", \"bbox\": [298, 180, 330, 190]}, {\"cell\": \"<b>Highest Level of education completed</b>\", \"bbox\": [1, 194, 135, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fishers Exact test\", \"bbox\": [378, 194, 434, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 194, 475, 204]}, {\"cell\": \"No formal education\", \"bbox\": [1, 208, 69, 218]}, {\"cell\": \"6 (5.04)\", \"bbox\": [192, 208, 217, 218]}, {\"cell\": \"4 (66.07)\", \"bbox\": [298, 208, 327, 218]}, {\"cell\": \"Primary\", \"bbox\": [1, 222, 26, 232]}, {\"cell\": \"79 (66.39)\", \"bbox\": [192, 222, 225, 232]}, {\"cell\": \"68 (86.08)\", \"bbox\": [298, 222, 330, 232]}, {\"cell\": \"Secondary or above\", \"bbox\": [1, 236, 67, 246]}, {\"cell\": \"34 (28.37)\", \"bbox\": [192, 236, 225, 246]}, {\"cell\": \"31 (91.18)\", \"bbox\": [298, 236, 330, 246]}, {\"cell\": \"<b>Aware that the service is free</b>\", \"bbox\": [1, 250, 104, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ<sup>2</sup> = 22.721\", \"bbox\": [378, 248, 414, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 250, 480, 260]}, {\"cell\": \"Yes\", \"bbox\": [1, 264, 13, 274]}, {\"cell\": \"112 (94.12)\", \"bbox\": [192, 264, 229, 274]}, {\"cell\": \"102 (91.07)\", \"bbox\": [298, 264, 334, 274]}, {\"cell\": \"No\", \"bbox\": [1, 278, 12, 288]}, {\"cell\": \"7 (5.88)\", \"bbox\": [192, 278, 217, 288]}, {\"cell\": \"1 (14.29)\", \"bbox\": [298, 278, 327, 288]}, {\"cell\": \"<b>Satisfaction level with comfort of the laboratory</b>\", \"bbox\": [1, 292, 170, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ<sup>2</sup> = 8.291\", \"bbox\": [378, 290, 411, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 292, 480, 302]}, {\"cell\": \"Highly satisfied\", \"bbox\": [1, 306, 51, 316]}, {\"cell\": \"99 (83.19)\", \"bbox\": [192, 306, 225, 316]}, {\"cell\": \"95 (95.96)\", \"bbox\": [298, 306, 330, 316]}, {\"cell\": \"Somewhat satisfied\", \"bbox\": [1, 320, 64, 330]}, {\"cell\": \"10 (8.40)\", \"bbox\": [192, 320, 221, 330]}, {\"cell\": \"6 (60.00)\", \"bbox\": [298, 320, 327, 330]}, {\"cell\": \"Neutral\", \"bbox\": [1, 334, 26, 344]}, {\"cell\": \"7 (5.88)\", \"bbox\": [192, 334, 217, 344]}, {\"cell\": \"1 (14.29)\", \"bbox\": [298, 334, 327, 344]}, {\"cell\": \"Somewhat dissatisfied\", \"bbox\": [1, 348, 73, 358]}, {\"cell\": \"3 (2.52)\", \"bbox\": [192, 348, 217, 358]}, {\"cell\": \"1 (33.33)\", \"bbox\": [298, 348, 327, 358]}, {\"cell\": \"Highly dissatisfied\", \"bbox\": [1, 362, 60, 372]}, {\"cell\": \"0 (0.00)\", \"bbox\": [192, 362, 217, 372]}, {\"cell\": \"0 (0.00)\", \"bbox\": [298, 362, 323, 372]}, {\"cell\": \"<b>Satisfaction with waiting time</b>\", \"bbox\": [1, 376, 106, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ<sup>2</sup> = 3.819\", \"bbox\": [378, 374, 411, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 376, 480, 386]}, {\"cell\": \"Highly satisfied\", \"bbox\": [1, 390, 51, 400]}, {\"cell\": \"90 (75.63)\", \"bbox\": [192, 390, 225, 400]}, {\"cell\": \"87 (96.67)\", \"bbox\": [298, 390, 330, 400]}, {\"cell\": \"Somewhat satisfied\", \"bbox\": [1, 404, 64, 414]}, {\"cell\": \"17 (14.29)\", \"bbox\": [192, 404, 225, 414]}, {\"cell\": \"15 (88.24)\", \"bbox\": [298, 404, 330, 414]}, {\"cell\": \"Neutral\", \"bbox\": [1, 418, 26, 428]}, {\"cell\": \"9 (7.56)\", \"bbox\": [192, 418, 217, 428]}, {\"cell\": \"1 (11.11)\", \"bbox\": [298, 418, 327, 428]}, {\"cell\": \"Somewhat dissatisfied\", \"bbox\": [1, 432, 73, 442]}, {\"cell\": \"2 (1.68)\", \"bbox\": [192, 432, 217, 442]}, {\"cell\": \"0 (0.00)\", \"bbox\": [298, 432, 323, 442]}, {\"cell\": \"Highly dissatisfied\", \"bbox\": [1, 446, 60, 456]}, {\"cell\": \"1 (0.84)\", \"bbox\": [192, 446, 217, 456]}, {\"cell\": \"0 (0.00)\", \"bbox\": [298, 446, 323, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4080784_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}342{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Age 18–49 (n = 752)</b></td><td><b>Age 50–64 (n = 2500)</b></td><td><b>Age 65–79 (n = 3047)</b></td><td><b>Age ≥80 (n = 544)</b></td><td><b>P value</b></td></tr></thead><tbody><tr><td>Bleeding (re-exploration)</td><td>2.0%</td><td>1.4%</td><td>2.3%</td><td>[EMPTY_CELL]</td><td>0.04</td></tr><tr><td>Infection</td><td>6.2%</td><td>7.4%</td><td>11.4%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Neurologic events</td><td>1.3%</td><td>1.3%</td><td>3.7%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Pulmonary complications</td><td>14.1%</td><td>12.7%</td><td>20.5%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>AKI</td><td>6.5%</td><td>4.7%</td><td>11.2%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Atrial fibrillation</td><td>15.1%</td><td>28.0%</td><td>41.1%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Cardiac arrest</td><td>1.5%</td><td>1.8%</td><td>3.4%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Heart block</td><td>2.7%</td><td>1.8%</td><td>2.9%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>IABP</td><td>3.0%</td><td>3.1%</td><td>3.9%</td><td>[EMPTY_CELL]</td><td>0.27</td></tr><tr><td>CRRT</td><td>2.7%</td><td>1.7%</td><td>4.1%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>CVICU LOS (hr)</td><td>87.5 ± 385.6</td><td>67.7 ± 145.0</td><td>107.7 ± 248.7</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Hospital LOS</td><td>8.7 ± 14.4</td><td>8.1 ± 14.7</td><td>11.3 ± 17.7</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>CVICU re-admission</td><td>3.9%</td><td>2.6%</td><td>4.6%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Discharge location</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Home</td><td>92.1%</td><td>90.6%</td><td>77.1%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Other facilities</td><td>7.9%</td><td>9.4%</td><td>22.9%</td><td>[EMPTY_CELL]</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 5, 34, 14]}, {\"cell\": \"<b>Age 18–49 (n = 752)</b>\", \"bbox\": [101, 5, 172, 14]}, {\"cell\": \"<b>Age 50–64 (n = 2500)</b>\", \"bbox\": [190, 5, 265, 14]}, {\"cell\": \"<b>Age 65–79 (n = 3047)</b>\", \"bbox\": [283, 5, 359, 14]}, {\"cell\": \"<b>Age ≥80 (n = 544)</b>\", \"bbox\": [376, 5, 439, 14]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [457, 5, 484, 14]}, {\"cell\": \"Bleeding (re-exploration)\", \"bbox\": [1, 18, 81, 27]}, {\"cell\": \"2.0%\", \"bbox\": [101, 18, 118, 27]}, {\"cell\": \"1.4%\", \"bbox\": [190, 18, 207, 27]}, {\"cell\": \"2.3%\", \"bbox\": [283, 18, 300, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 18, 393, 27]}, {\"cell\": \"0.04\", \"bbox\": [457, 18, 472, 27]}, {\"cell\": \"Infection\", \"bbox\": [1, 32, 30, 41]}, {\"cell\": \"6.2%\", \"bbox\": [101, 32, 118, 41]}, {\"cell\": \"7.4%\", \"bbox\": [190, 32, 207, 41]}, {\"cell\": \"11.4%\", \"bbox\": [283, 32, 304, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 32, 397, 41]}, {\"cell\": \"<0.001\", \"bbox\": [457, 32, 480, 41]}, {\"cell\": \"Neurologic events\", \"bbox\": [1, 46, 61, 55]}, {\"cell\": \"1.3%\", \"bbox\": [101, 46, 118, 55]}, {\"cell\": \"1.3%\", \"bbox\": [190, 46, 207, 55]}, {\"cell\": \"3.7%\", \"bbox\": [283, 46, 300, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 46, 393, 55]}, {\"cell\": \"<0.001\", \"bbox\": [457, 46, 480, 55]}, {\"cell\": \"Pulmonary complications\", \"bbox\": [1, 60, 83, 69]}, {\"cell\": \"14.1%\", \"bbox\": [101, 60, 122, 69]}, {\"cell\": \"12.7%\", \"bbox\": [190, 60, 211, 69]}, {\"cell\": \"20.5%\", \"bbox\": [283, 60, 304, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 60, 397, 69]}, {\"cell\": \"<0.001\", \"bbox\": [457, 60, 480, 69]}, {\"cell\": \"AKI\", \"bbox\": [1, 74, 13, 83]}, {\"cell\": \"6.5%\", \"bbox\": [101, 74, 118, 83]}, {\"cell\": \"4.7%\", \"bbox\": [190, 74, 207, 83]}, {\"cell\": \"11.2%\", \"bbox\": [283, 74, 304, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 74, 397, 83]}, {\"cell\": \"<0.001\", \"bbox\": [457, 74, 480, 83]}, {\"cell\": \"Atrial fibrillation\", \"bbox\": [1, 88, 53, 97]}, {\"cell\": \"15.1%\", \"bbox\": [101, 88, 122, 97]}, {\"cell\": \"28.0%\", \"bbox\": [190, 88, 211, 97]}, {\"cell\": \"41.1%\", \"bbox\": [283, 88, 304, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 88, 397, 97]}, {\"cell\": \"<0.001\", \"bbox\": [457, 88, 480, 97]}, {\"cell\": \"Cardiac arrest\", \"bbox\": [1, 102, 46, 111]}, {\"cell\": \"1.5%\", \"bbox\": [101, 102, 118, 111]}, {\"cell\": \"1.8%\", \"bbox\": [190, 102, 207, 111]}, {\"cell\": \"3.4%\", \"bbox\": [283, 102, 300, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 102, 393, 111]}, {\"cell\": \"<0.001\", \"bbox\": [457, 102, 480, 111]}, {\"cell\": \"Heart block\", \"bbox\": [1, 116, 39, 125]}, {\"cell\": \"2.7%\", \"bbox\": [101, 116, 118, 125]}, {\"cell\": \"1.8%\", \"bbox\": [190, 116, 207, 125]}, {\"cell\": \"2.9%\", \"bbox\": [283, 116, 300, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 116, 393, 125]}, {\"cell\": \"<0.001\", \"bbox\": [457, 116, 480, 125]}, {\"cell\": \"IABP\", \"bbox\": [1, 130, 17, 139]}, {\"cell\": \"3.0%\", \"bbox\": [101, 130, 118, 139]}, {\"cell\": \"3.1%\", \"bbox\": [190, 130, 207, 139]}, {\"cell\": \"3.9%\", \"bbox\": [283, 130, 300, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 130, 393, 139]}, {\"cell\": \"0.27\", \"bbox\": [457, 130, 472, 139]}, {\"cell\": \"CRRT\", \"bbox\": [1, 144, 19, 153]}, {\"cell\": \"2.7%\", \"bbox\": [101, 144, 118, 153]}, {\"cell\": \"1.7%\", \"bbox\": [190, 144, 207, 153]}, {\"cell\": \"4.1%\", \"bbox\": [283, 144, 300, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 144, 393, 153]}, {\"cell\": \"<0.001\", \"bbox\": [457, 144, 480, 153]}, {\"cell\": \"CVICU LOS (hr)\", \"bbox\": [1, 158, 50, 167]}, {\"cell\": \"87.5 ± 385.6\", \"bbox\": [101, 158, 140, 167]}, {\"cell\": \"67.7 ± 145.0\", \"bbox\": [190, 158, 229, 167]}, {\"cell\": \"107.7 ± 248.7\", \"bbox\": [283, 158, 326, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 158, 419, 167]}, {\"cell\": \"<0.001\", \"bbox\": [457, 158, 480, 167]}, {\"cell\": \"Hospital LOS\", \"bbox\": [1, 172, 43, 181]}, {\"cell\": \"8.7 ± 14.4\", \"bbox\": [101, 172, 133, 181]}, {\"cell\": \"8.1 ± 14.7\", \"bbox\": [190, 172, 222, 181]}, {\"cell\": \"11.3 ± 17.7\", \"bbox\": [283, 172, 319, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 172, 412, 181]}, {\"cell\": \"<0.001\", \"bbox\": [457, 172, 480, 181]}, {\"cell\": \"CVICU re-admission\", \"bbox\": [1, 186, 65, 195]}, {\"cell\": \"3.9%\", \"bbox\": [101, 186, 118, 195]}, {\"cell\": \"2.6%\", \"bbox\": [190, 186, 207, 195]}, {\"cell\": \"4.6%\", \"bbox\": [283, 186, 300, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 186, 393, 195]}, {\"cell\": \"<0.001\", \"bbox\": [457, 186, 480, 195]}, {\"cell\": \"Discharge location\", \"bbox\": [1, 200, 62, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Home\", \"bbox\": [8, 214, 30, 223]}, {\"cell\": \"92.1%\", \"bbox\": [101, 214, 122, 223]}, {\"cell\": \"90.6%\", \"bbox\": [190, 214, 211, 223]}, {\"cell\": \"77.1%\", \"bbox\": [283, 214, 304, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 214, 397, 223]}, {\"cell\": \"<0.001\", \"bbox\": [457, 214, 480, 223]}, {\"cell\": \"Other facilities\", \"bbox\": [8, 228, 56, 237]}, {\"cell\": \"7.9%\", \"bbox\": [101, 228, 118, 237]}, {\"cell\": \"9.4%\", \"bbox\": [190, 228, 207, 237]}, {\"cell\": \"22.9%\", \"bbox\": [283, 228, 304, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 228, 397, 237]}, {\"cell\": \"<0.001\", \"bbox\": [457, 228, 480, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4255435_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}343{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Medication</b></td><td colspan=\\\"2\\\"><b>Pre-PH48</b></td><td colspan=\\\"2\\\"><b>Post-PH48</b></td></tr><tr><td><b><i>n = 76</i></b></td><td><b><i>Mean dose (SD)</i></b></td><td><b><i>n = 40</i></b></td><td><b><i>Mean dose (SD)</i></b></td></tr></thead><tbody><tr><td><i>Amitriptyline</i></td><td>[EMPTY_CELL]</td><td>–</td><td>2</td><td>20.0 mg (0.0)</td></tr><tr><td><i>Chlorpromazine</i></td><td>[EMPTY_CELL]</td><td>–</td><td>2</td><td>12.0 mg (0.0)</td></tr><tr><td><i>Clozapine</i></td><td>[EMPTY_CELL]</td><td>325.0 mg (106.1)</td><td>4</td><td>281.2 mg (132.5)</td></tr><tr><td><i>Diazepam</i></td><td>[EMPTY_CELL]</td><td>21.9 mg (32.7)</td><td>4</td><td>7.6 mg (3.3)</td></tr><tr><td><i>Duloxetine</i></td><td>[EMPTY_CELL]</td><td>120.0 mg (0.0)</td><td>2</td><td>90.0 mg (0.0)</td></tr><tr><td><i>Flupentixol</i></td><td>[EMPTY_CELL]</td><td>6.0 mg (4.2)</td><td>–</td><td>–</td></tr><tr><td><i>Flupentixol Deconate*</i></td><td>[EMPTY_CELL]</td><td>260.0 mg (197.9)</td><td>–</td><td>–</td></tr><tr><td><i>Haloperidol</i></td><td>[EMPTY_CELL]</td><td>11.3 mg (7.2)</td><td>4</td><td>9.1 mg (5.6)</td></tr><tr><td><i>Haloperidol Depot*</i></td><td>[EMPTY_CELL]</td><td>116.6 mg (28.9)</td><td>3</td><td>133.3 mg (28.9)</td></tr><tr><td><i>Lorazepam</i></td><td>[EMPTY_CELL]</td><td>1.1 mg (0.47)</td><td>5</td><td>1.1 mg (0.54)</td></tr><tr><td><i>Mirtazapine</i></td><td>[EMPTY_CELL]</td><td>37.5 mg (10.1)</td><td>9</td><td>29.4 mg (14.5)</td></tr><tr><td><i>Olanzapine</i></td><td>[EMPTY_CELL]</td><td>10.2 mg (5.6)</td><td>19</td><td>9.1 mg (4.8)</td></tr><tr><td><i>Tamazepam</i></td><td>[EMPTY_CELL]</td><td>40.0 mg (−)</td><td>–</td><td>–</td></tr><tr><td><i>Zuclopentixol</i></td><td>[EMPTY_CELL]</td><td>110.0 mg (82.2)</td><td>4</td><td>54.7 mg (41.8)</td></tr><tr><td><i>Zuclopentixol Deconate*</i></td><td>[EMPTY_CELL]</td><td>1050.0 mg (234.5)</td><td>5</td><td>1600.0 mg (489.9)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Medication</b>\", \"bbox\": [1, 4, 38, 13]}, {\"cell\": \"<b>Pre-PH48</b>\", \"bbox\": [140, 4, 171, 13]}, {\"cell\": \"<b>Post-PH48</b>\", \"bbox\": [343, 4, 377, 13]}, {\"cell\": \"<b><i>n = 76</i></b>\", \"bbox\": [140, 17, 161, 27]}, {\"cell\": \"<b><i>Mean dose (SD)</i></b>\", \"bbox\": [222, 17, 273, 27]}, {\"cell\": \"<b><i>n = 40</i></b>\", \"bbox\": [343, 17, 364, 27]}, {\"cell\": \"<b><i>Mean dose (SD)</i></b>\", \"bbox\": [426, 17, 476, 27]}, {\"cell\": \"<i>Amitriptyline</i>\", \"bbox\": [1, 30, 41, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 34, 146, 38]}, {\"cell\": \"–\", \"bbox\": [222, 34, 228, 38]}, {\"cell\": \"2\", \"bbox\": [343, 30, 349, 40]}, {\"cell\": \"20.0 mg (0.0)\", \"bbox\": [426, 30, 469, 40]}, {\"cell\": \"<i>Chlorpromazine</i>\", \"bbox\": [1, 44, 51, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 48, 146, 52]}, {\"cell\": \"–\", \"bbox\": [222, 48, 228, 52]}, {\"cell\": \"2\", \"bbox\": [343, 44, 349, 54]}, {\"cell\": \"12.0 mg (0.0)\", \"bbox\": [426, 44, 469, 54]}, {\"cell\": \"<i>Clozapine</i>\", \"bbox\": [1, 58, 32, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 58, 145, 68]}, {\"cell\": \"325.0 mg (106.1)\", \"bbox\": [222, 58, 277, 68]}, {\"cell\": \"4\", \"bbox\": [343, 58, 349, 68]}, {\"cell\": \"281.2 mg (132.5)\", \"bbox\": [426, 58, 481, 68]}, {\"cell\": \"<i>Diazepam</i>\", \"bbox\": [1, 72, 34, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 72, 145, 82]}, {\"cell\": \"21.9 mg (32.7)\", \"bbox\": [222, 72, 270, 82]}, {\"cell\": \"4\", \"bbox\": [343, 72, 349, 82]}, {\"cell\": \"7.6 mg (3.3)\", \"bbox\": [426, 72, 465, 82]}, {\"cell\": \"<i>Duloxetine</i>\", \"bbox\": [1, 86, 35, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 86, 145, 96]}, {\"cell\": \"120.0 mg (0.0)\", \"bbox\": [222, 86, 270, 96]}, {\"cell\": \"2\", \"bbox\": [343, 86, 349, 96]}, {\"cell\": \"90.0 mg (0.0)\", \"bbox\": [426, 86, 469, 96]}, {\"cell\": \"<i>Flupentixol</i>\", \"bbox\": [1, 100, 35, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 100, 145, 110]}, {\"cell\": \"6.0 mg (4.2)\", \"bbox\": [222, 100, 262, 110]}, {\"cell\": \"–\", \"bbox\": [343, 104, 349, 108]}, {\"cell\": \"–\", \"bbox\": [426, 104, 432, 108]}, {\"cell\": \"<i>Flupentixol Deconate*</i>\", \"bbox\": [1, 114, 70, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 114, 145, 124]}, {\"cell\": \"260.0 mg (197.9)\", \"bbox\": [222, 114, 277, 124]}, {\"cell\": \"–\", \"bbox\": [343, 118, 349, 122]}, {\"cell\": \"–\", \"bbox\": [426, 118, 432, 122]}, {\"cell\": \"<i>Haloperidol</i>\", \"bbox\": [1, 128, 38, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 128, 145, 138]}, {\"cell\": \"11.3 mg (7.2)\", \"bbox\": [222, 128, 266, 138]}, {\"cell\": \"4\", \"bbox\": [343, 128, 349, 138]}, {\"cell\": \"9.1 mg (5.6)\", \"bbox\": [426, 128, 465, 138]}, {\"cell\": \"<i>Haloperidol Depot*</i>\", \"bbox\": [1, 142, 62, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 142, 145, 152]}, {\"cell\": \"116.6 mg (28.9)\", \"bbox\": [222, 142, 274, 152]}, {\"cell\": \"3\", \"bbox\": [343, 142, 349, 152]}, {\"cell\": \"133.3 mg (28.9)\", \"bbox\": [426, 142, 477, 152]}, {\"cell\": \"<i>Lorazepam</i>\", \"bbox\": [1, 156, 37, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 156, 145, 166]}, {\"cell\": \"1.1 mg (0.47)\", \"bbox\": [222, 156, 266, 166]}, {\"cell\": \"5\", \"bbox\": [343, 156, 349, 166]}, {\"cell\": \"1.1 mg (0.54)\", \"bbox\": [426, 156, 469, 166]}, {\"cell\": \"<i>Mirtazapine</i>\", \"bbox\": [1, 170, 39, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 170, 149, 180]}, {\"cell\": \"37.5 mg (10.1)\", \"bbox\": [222, 170, 270, 180]}, {\"cell\": \"9\", \"bbox\": [343, 170, 349, 180]}, {\"cell\": \"29.4 mg (14.5)\", \"bbox\": [426, 170, 473, 180]}, {\"cell\": \"<i>Olanzapine</i>\", \"bbox\": [1, 184, 37, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 184, 149, 194]}, {\"cell\": \"10.2 mg (5.6)\", \"bbox\": [222, 184, 266, 194]}, {\"cell\": \"19\", \"bbox\": [343, 184, 352, 194]}, {\"cell\": \"9.1 mg (4.8)\", \"bbox\": [426, 184, 465, 194]}, {\"cell\": \"<i>Tamazepam</i>\", \"bbox\": [1, 198, 40, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 198, 145, 208]}, {\"cell\": \"40.0 mg (−)\", \"bbox\": [222, 198, 262, 208]}, {\"cell\": \"–\", \"bbox\": [343, 202, 349, 206]}, {\"cell\": \"–\", \"bbox\": [426, 202, 432, 206]}, {\"cell\": \"<i>Zuclopentixol</i>\", \"bbox\": [1, 212, 43, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 212, 145, 222]}, {\"cell\": \"110.0 mg (82.2)\", \"bbox\": [222, 212, 274, 222]}, {\"cell\": \"4\", \"bbox\": [343, 212, 349, 222]}, {\"cell\": \"54.7 mg (41.8)\", \"bbox\": [426, 212, 473, 222]}, {\"cell\": \"<i>Zuclopentixol Deconate*</i>\", \"bbox\": [1, 226, 78, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 226, 145, 236]}, {\"cell\": \"1050.0 mg (234.5)\", \"bbox\": [222, 226, 281, 236]}, {\"cell\": \"5\", \"bbox\": [343, 226, 349, 236]}, {\"cell\": \"1600.0 mg (489.9)\", \"bbox\": [426, 226, 484, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6042321_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}344{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Variables</b></td><td rowspan=\\\"3\\\"><b><i>n</i> = 30</b></td><td><b>Moringa group</b></td><td rowspan=\\\"3\\\"><b>%</b></td><td rowspan=\\\"3\\\"><b><i>n</i> = 30</b></td><td><b>Control group</b></td><td rowspan=\\\"3\\\"><b>%</b></td><td rowspan=\\\"3\\\"><b><i>P</i></b></td></tr><tr><td><b>Median (min–max)</b></td><td><b>Median (min–max)</b></td></tr><tr><td><b>Mean (SD)</b></td><td><b>Mean (SD)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>12.2 (1.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>12.3 (1.4)</td><td>[EMPTY_CELL]</td><td>0.99</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>37</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>40</td><td>0.79</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>63</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>60</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>432.4 (195.0)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>459.4 (215.0)</td><td>[EMPTY_CELL]</td><td>0.61</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>30</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>30</td><td>0.99</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>70</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>70</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>70</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>67</td><td>0.78</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>30</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>33</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>70</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>63</td><td>0.58</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>30</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>37</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>97</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>87</td><td>0.23</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>13</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.3 (0.8)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.9 (0.7)</td><td>[EMPTY_CELL]</td><td>0.018</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>57</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>30</td><td>0.03</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>43</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>70</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>83</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>60</td><td>0.04</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>17</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>40</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>100</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>100</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>23</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>23</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>100</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>100</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b><i>n</i> = 30</b>\", \"bbox\": [94, 4, 117, 13]}, {\"cell\": \"<b>Moringa group</b>\", \"bbox\": [146, 4, 196, 13]}, {\"cell\": \"<b>%</b>\", \"bbox\": [237, 4, 245, 13]}, {\"cell\": \"<b><i>n</i> = 30</b>\", \"bbox\": [280, 4, 303, 13]}, {\"cell\": \"<b>Control group</b>\", \"bbox\": [332, 4, 379, 13]}, {\"cell\": \"<b>%</b>\", \"bbox\": [423, 4, 431, 13]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [466, 4, 472, 12]}, {\"cell\": \"<b>Median (min–max)</b>\", \"bbox\": [146, 17, 208, 27]}, {\"cell\": \"<b>Median (min–max)</b>\", \"bbox\": [332, 17, 394, 27]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [146, 30, 181, 40]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [332, 30, 367, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 31, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12.2 (1.3)\", \"bbox\": [160, 43, 190, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12.3 (1.4)\", \"bbox\": [346, 43, 376, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.99\", \"bbox\": [466, 43, 481, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 15, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"37\", \"bbox\": [237, 57, 247, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [423, 57, 433, 67]}, {\"cell\": \"0.79\", \"bbox\": [466, 57, 481, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 15, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"63\", \"bbox\": [237, 71, 247, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"60\", \"bbox\": [423, 71, 433, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 85, 46, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"432.4 (195.0)\", \"bbox\": [156, 85, 198, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"459.4 (215.0)\", \"bbox\": [342, 85, 384, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.61\", \"bbox\": [466, 85, 481, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 19, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [237, 99, 247, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [423, 99, 433, 109]}, {\"cell\": \"0.99\", \"bbox\": [466, 99, 481, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 113, 19, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70\", \"bbox\": [237, 113, 247, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70\", \"bbox\": [423, 113, 433, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 62, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 63, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70\", \"bbox\": [237, 141, 247, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"67\", \"bbox\": [423, 141, 433, 151]}, {\"cell\": \"0.78\", \"bbox\": [466, 141, 481, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 56, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [237, 155, 247, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"33\", \"bbox\": [423, 155, 433, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 169, 22, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 183, 65, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70\", \"bbox\": [237, 183, 247, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"63\", \"bbox\": [423, 183, 433, 193]}, {\"cell\": \"0.58\", \"bbox\": [466, 183, 481, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 197, 57, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [237, 197, 247, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"37\", \"bbox\": [423, 197, 433, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 211, 48, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 23, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"97\", \"bbox\": [237, 225, 247, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"87\", \"bbox\": [423, 225, 433, 235]}, {\"cell\": \"0.23\", \"bbox\": [466, 225, 481, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 23, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [237, 239, 243, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13\", \"bbox\": [423, 239, 433, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 253, 49, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.3 (0.8)\", \"bbox\": [164, 253, 190, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.9 (0.7)\", \"bbox\": [350, 253, 376, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.018\", \"bbox\": [466, 253, 484, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 267, 16, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"57\", \"bbox\": [237, 267, 247, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [423, 267, 433, 277]}, {\"cell\": \"0.03\", \"bbox\": [466, 267, 481, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 281, 17, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"43\", \"bbox\": [237, 281, 247, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70\", \"bbox\": [423, 281, 433, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 295, 37, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 309, 40, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"83\", \"bbox\": [237, 309, 247, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"60\", \"bbox\": [423, 309, 433, 319]}, {\"cell\": \"0.04\", \"bbox\": [466, 309, 481, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 323, 57, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"17\", \"bbox\": [237, 323, 247, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [423, 323, 433, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 337, 54, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 351, 17, 361]}, {\"cell\": \"7\", \"bbox\": [104, 351, 110, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [290, 351, 296, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 365, 17, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100\", \"bbox\": [237, 365, 251, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100\", \"bbox\": [423, 365, 437, 375]}, {\"cell\": \"-\", \"bbox\": [466, 365, 470, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 379, 16, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [237, 379, 243, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [423, 379, 429, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 393, 28, 403]}, {\"cell\": \"23\", \"bbox\": [101, 393, 110, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"23\", \"bbox\": [287, 393, 296, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 407, 17, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100\", \"bbox\": [237, 407, 251, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100\", \"bbox\": [423, 407, 437, 417]}, {\"cell\": \"-\", \"bbox\": [466, 407, 470, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 421, 16, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [237, 421, 243, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [423, 421, 429, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5568305_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}345{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Recife</b></td><td><b>Recent (%)</b></td><td><b>Long-term (%)</b></td><td><b>p<sup>a</sup></b></td></tr></thead><tbody><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>13-24</td><td>19.4</td><td>80.6</td><td rowspan=\\\"4\\\">0.230</td></tr><tr><td>[EMPTY_CELL]</td><td>12.1</td><td>87.9</td></tr><tr><td>[EMPTY_CELL]</td><td>11.1</td><td>88,9</td></tr><tr><td>[EMPTY_CELL]</td><td>11.8</td><td>88.2</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>F</td><td>8.9</td><td>91.1</td><td rowspan=\\\"2\\\">0.073</td></tr><tr><td>[EMPTY_CELL]</td><td>14.5</td><td>85.5</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>F</td><td>8.9</td><td>91.1</td><td rowspan=\\\"3\\\">< 0.001<sup>b</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>26.0</td><td>74.0</td></tr><tr><td>[EMPTY_CELL]</td><td>9.2</td><td>90,8</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>13-24</td><td>18.8</td><td>81.2</td><td rowspan=\\\"4\\\">0.001<sup>b</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>11.2</td><td>88.8</td></tr><tr><td>[EMPTY_CELL]</td><td>7.5</td><td>92.5</td></tr><tr><td>[EMPTY_CELL]</td><td>2.7</td><td>97.3</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>F</td><td>11.3</td><td>88.7</td><td rowspan=\\\"2\\\">0.313</td></tr><tr><td>[EMPTY_CELL]</td><td>9.7</td><td>90.3</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>F</td><td>11.3</td><td>88.7</td><td rowspan=\\\"3\\\">0.01<sup>b</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>15.5</td><td>84.5</td></tr><tr><td>[EMPTY_CELL]</td><td>6.8</td><td>93.2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Recife</b>\", \"bbox\": [4, 4, 28, 14]}, {\"cell\": \"<b>Recent (%)</b>\", \"bbox\": [236, 4, 277, 14]}, {\"cell\": \"<b>Long-term (%)</b>\", \"bbox\": [292, 4, 346, 14]}, {\"cell\": \"<b>p<sup>a</sup></b>\", \"bbox\": [368, 4, 377, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 38, 66, 48]}, {\"cell\": \"13-24\", \"bbox\": [143, 18, 166, 28]}, {\"cell\": \"19.4\", \"bbox\": [248, 18, 265, 28]}, {\"cell\": \"80.6\", \"bbox\": [310, 18, 328, 28]}, {\"cell\": \"0.230\", \"bbox\": [362, 38, 384, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 31, 166, 41]}, {\"cell\": \"12.1\", \"bbox\": [248, 31, 265, 41]}, {\"cell\": \"87.9\", \"bbox\": [310, 31, 328, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 45, 166, 55]}, {\"cell\": \"11.1\", \"bbox\": [248, 45, 265, 55]}, {\"cell\": \"88,9\", \"bbox\": [310, 45, 328, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 58, 162, 68]}, {\"cell\": \"11.8\", \"bbox\": [248, 58, 265, 68]}, {\"cell\": \"88.2\", \"bbox\": [310, 58, 328, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 78, 18, 89]}, {\"cell\": \"F\", \"bbox\": [152, 72, 158, 82]}, {\"cell\": \"8.9\", \"bbox\": [250, 72, 263, 82]}, {\"cell\": \"91.1\", \"bbox\": [310, 72, 328, 82]}, {\"cell\": \"0.073\", \"bbox\": [362, 78, 384, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 85, 159, 95]}, {\"cell\": \"14.5\", \"bbox\": [248, 85, 265, 95]}, {\"cell\": \"85.5\", \"bbox\": [310, 85, 328, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 112, 69, 122]}, {\"cell\": \"F\", \"bbox\": [152, 99, 158, 109]}, {\"cell\": \"8.9\", \"bbox\": [250, 99, 263, 109]}, {\"cell\": \"91.1\", \"bbox\": [310, 99, 328, 109]}, {\"cell\": \"< 0.001<sup>b</sup>\", \"bbox\": [357, 112, 389, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 112, 165, 122]}, {\"cell\": \"26.0\", \"bbox\": [248, 112, 265, 122]}, {\"cell\": \"74.0\", \"bbox\": [310, 112, 328, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 126, 213, 136]}, {\"cell\": \"9.2\", \"bbox\": [250, 126, 263, 136]}, {\"cell\": \"90,8\", \"bbox\": [310, 126, 328, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 139, 34, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 173, 66, 183]}, {\"cell\": \"13-24\", \"bbox\": [143, 152, 166, 163]}, {\"cell\": \"18.8\", \"bbox\": [248, 152, 265, 163]}, {\"cell\": \"81.2\", \"bbox\": [310, 152, 328, 163]}, {\"cell\": \"0.001<sup>b</sup>\", \"bbox\": [361, 173, 385, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 166, 166, 176]}, {\"cell\": \"11.2\", \"bbox\": [248, 166, 265, 176]}, {\"cell\": \"88.8\", \"bbox\": [310, 166, 328, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 179, 166, 190]}, {\"cell\": \"7.5\", \"bbox\": [250, 179, 263, 190]}, {\"cell\": \"92.5\", \"bbox\": [310, 179, 328, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 193, 162, 203]}, {\"cell\": \"2.7\", \"bbox\": [250, 193, 263, 203]}, {\"cell\": \"97.3\", \"bbox\": [310, 193, 328, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 213, 18, 223]}, {\"cell\": \"F\", \"bbox\": [152, 206, 158, 217]}, {\"cell\": \"11.3\", \"bbox\": [248, 206, 265, 217]}, {\"cell\": \"88.7\", \"bbox\": [310, 206, 328, 217]}, {\"cell\": \"0.313\", \"bbox\": [362, 213, 384, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 220, 159, 230]}, {\"cell\": \"9.7\", \"bbox\": [250, 220, 263, 230]}, {\"cell\": \"90.3\", \"bbox\": [310, 220, 328, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 247, 69, 257]}, {\"cell\": \"F\", \"bbox\": [152, 233, 158, 244]}, {\"cell\": \"11.3\", \"bbox\": [248, 233, 265, 244]}, {\"cell\": \"88.7\", \"bbox\": [310, 233, 328, 244]}, {\"cell\": \"0.01<sup>b</sup>\", \"bbox\": [363, 247, 383, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 247, 165, 257]}, {\"cell\": \"15.5\", \"bbox\": [248, 247, 265, 257]}, {\"cell\": \"84.5\", \"bbox\": [310, 247, 328, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 260, 213, 271]}, {\"cell\": \"6.8\", \"bbox\": [250, 260, 263, 271]}, {\"cell\": \"93.2\", \"bbox\": [310, 260, 328, 271]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5001804_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}346{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Host species</b></td><td rowspan=\\\"3\\\"><b>Sample type</b></td><td rowspan=\\\"3\\\"><b>Number of specimens per animal</b></td><td rowspan=\\\"3\\\"><b>Total number of samples analysed</b></td><td colspan=\\\"7\\\"><b>PCR positives/all tested</b></td></tr><tr><td colspan=\\\"2\\\"><b>Haemotropic<i>Mycoplasma</i>spp.</b></td><td colspan=\\\"3\\\"><b>Rickettsiales</b></td><td colspan=\\\"2\\\"><b>Others</b></td></tr><tr><td><b>Haemofelis group</b></td><td><b>Result of sequencing</b></td><td><b><i>Rickettsia helvetica</i></b></td><td><b><i>Anaplasma phagocytophilum</i></b></td><td><b><i>Wolbachia</i>sp.</b></td><td><b><i>Borrelia burgdorferi</i>s.l.</b></td><td><b><i>Bartonella</i>sp.</b></td></tr></thead><tbody><tr><td rowspan=\\\"3\\\"><i>Mus musculus</i></td><td><b>spleen</b></td><td>1</td><td>37</td><td>21/37</td><td>not successful</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1/37</td><td>[EMPTY_CELL]</td></tr><tr><td><b>flea</b> (<i>Leptopsylla segnis</i>)</td><td>1-3</td><td>10</td><td>[EMPTY_CELL]</td><td>-</td><td>2/10</td><td>[EMPTY_CELL]</td><td>1/10</td><td>[EMPTY_CELL]</td><td>1/10</td></tr><tr><td><b>mite</b> (<i>Laelaps algericus</i>)</td><td>1-15</td><td>3</td><td>[EMPTY_CELL]</td><td>-</td><td>1/3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Micromys minutus</i></td><td><b>spleen</b></td><td>1</td><td>1</td><td>1/1</td><td>nM. sp. (1×, 100%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\"><i>Rattus norvegicus</i></td><td><b>spleen</b></td><td>1</td><td>14</td><td>13/14</td><td>nM. sp. (1×, 98%), M. sp. [AB752303] (1×, 99%)*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1/14</td><td>[EMPTY_CELL]</td></tr><tr><td><b>louse</b> (<i>Polyplax spinulosa</i>)</td><td>4-50</td><td>2</td><td>1*/2</td><td>-</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Host species</b>\", \"bbox\": [1, 4, 46, 13]}, {\"cell\": \"<b>Sample type</b>\", \"bbox\": [65, 4, 111, 13]}, {\"cell\": \"<b>Number of specimens per animal</b>\", \"bbox\": [155, 4, 194, 31]}, {\"cell\": \"<b>Total number of samples analysed</b>\", \"bbox\": [200, 4, 239, 40]}, {\"cell\": \"<b>PCR positives/all tested</b>\", \"bbox\": [245, 4, 328, 13]}, {\"cell\": \"<b>Haemotropic<i>Mycoplasma</i>spp.</b>\", \"bbox\": [245, 17, 353, 27]}, {\"cell\": \"<b>Rickettsiales</b>\", \"bbox\": [377, 17, 421, 27]}, {\"cell\": \"<b>Others</b>\", \"bbox\": [539, 17, 564, 27]}, {\"cell\": \"<b>Haemofelis group</b>\", \"bbox\": [245, 30, 285, 49]}, {\"cell\": \"<b>Result of sequencing</b>\", \"bbox\": [291, 30, 366, 40]}, {\"cell\": \"<b><i>Rickettsia helvetica</i></b>\", \"bbox\": [377, 30, 411, 49]}, {\"cell\": \"<b><i>Anaplasma phagocytophilum</i></b>\", \"bbox\": [417, 30, 477, 49]}, {\"cell\": \"<b><i>Wolbachia</i>sp.</b>\", \"bbox\": [484, 30, 533, 40]}, {\"cell\": \"<b><i>Borrelia burgdorferi</i>s.l.</b>\", \"bbox\": [539, 30, 591, 49]}, {\"cell\": \"<b><i>Bartonella</i>sp.</b>\", \"bbox\": [597, 30, 645, 40]}, {\"cell\": \"<i>Mus musculus</i>\", \"bbox\": [1, 52, 46, 62]}, {\"cell\": \"<b>spleen</b>\", \"bbox\": [65, 52, 90, 62]}, {\"cell\": \"1\", \"bbox\": [155, 52, 160, 62]}, {\"cell\": \"37\", \"bbox\": [200, 52, 210, 62]}, {\"cell\": \"21/37\", \"bbox\": [245, 52, 265, 62]}, {\"cell\": \"not successful\", \"bbox\": [291, 52, 338, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [377, 52, 393, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1/37\", \"bbox\": [539, 52, 556, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>flea</b> (<i>Leptopsylla segnis</i>)\", \"bbox\": [65, 66, 141, 76]}, {\"cell\": \"1-3\", \"bbox\": [155, 66, 167, 76]}, {\"cell\": \"10\", \"bbox\": [200, 66, 210, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [291, 66, 296, 76]}, {\"cell\": \"2/10\", \"bbox\": [377, 66, 393, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1/10\", \"bbox\": [484, 66, 500, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1/10\", \"bbox\": [597, 66, 613, 76]}, {\"cell\": \"<b>mite</b> (<i>Laelaps algericus</i>)\", \"bbox\": [65, 80, 141, 90]}, {\"cell\": \"1-15\", \"bbox\": [155, 80, 170, 90]}, {\"cell\": \"3\", \"bbox\": [200, 80, 206, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [291, 80, 296, 90]}, {\"cell\": \"1/3\", \"bbox\": [377, 80, 389, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 80, 429, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Micromys minutus</i>\", \"bbox\": [1, 94, 59, 104]}, {\"cell\": \"<b>spleen</b>\", \"bbox\": [65, 94, 90, 104]}, {\"cell\": \"1\", \"bbox\": [155, 94, 160, 104]}, {\"cell\": \"1\", \"bbox\": [200, 94, 206, 104]}, {\"cell\": \"1/1\", \"bbox\": [245, 94, 257, 104]}, {\"cell\": \"nM. sp. (1×, 100%)\", \"bbox\": [291, 94, 352, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Rattus norvegicus</i>\", \"bbox\": [1, 108, 57, 118]}, {\"cell\": \"<b>spleen</b>\", \"bbox\": [65, 108, 90, 118]}, {\"cell\": \"1\", \"bbox\": [155, 108, 160, 118]}, {\"cell\": \"14\", \"bbox\": [200, 108, 210, 118]}, {\"cell\": \"13/14\", \"bbox\": [245, 108, 265, 118]}, {\"cell\": \"nM. sp. (1×, 98%), M. sp. [AB752303] (1×, 99%)*\", \"bbox\": [291, 108, 371, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1/14\", \"bbox\": [539, 108, 555, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>louse</b> (<i>Polyplax spinulosa</i>)\", \"bbox\": [65, 131, 148, 141]}, {\"cell\": \"4-50\", \"bbox\": [155, 131, 170, 141]}, {\"cell\": \"2\", \"bbox\": [200, 131, 206, 141]}, {\"cell\": \"1*/2\", \"bbox\": [245, 131, 260, 141]}, {\"cell\": \"-\", \"bbox\": [291, 131, 296, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4299477_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}347{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Clinical characteristics</b></td><td><b>Number (<i>n</i>)</b></td><td><b>Percent</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>122</td><td>100</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>56</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>21–79</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>74</td><td>61</td></tr><tr><td>[EMPTY_CELL]</td><td>48</td><td>39</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>47</td><td>38.6</td></tr><tr><td>[EMPTY_CELL]</td><td>26</td><td>21.3</td></tr><tr><td>[EMPTY_CELL]</td><td>17</td><td>13.9</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>5.7</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>4.9</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>3.3</td></tr><tr><td>[EMPTY_CELL]</td><td>15</td><td>12.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>12</td><td>9.8</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>5.7</td></tr><tr><td>[EMPTY_CELL]</td><td>16</td><td>13.2</td></tr><tr><td>[EMPTY_CELL]</td><td>87</td><td>71.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>86</td><td>70.5</td></tr><tr><td>[EMPTY_CELL]</td><td>36</td><td>29.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>82</td><td>67.2</td></tr><tr><td>[EMPTY_CELL]</td><td>40</td><td>32.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td><td>9.0</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>19.7</td></tr><tr><td>[EMPTY_CELL]</td><td>33</td><td>27.1</td></tr><tr><td>[EMPTY_CELL]</td><td>31</td><td>25.4</td></tr><tr><td>[EMPTY_CELL]</td><td>23</td><td>18.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>108</td><td>88.5</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td><td>9.0</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>2.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>87</td><td>71.3</td></tr><tr><td>[EMPTY_CELL]</td><td>35</td><td>28.7</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Clinical characteristics</b>\", \"bbox\": [1, 4, 72, 13]}, {\"cell\": \"<b>Number (<i>n</i>)</b>\", \"bbox\": [133, 4, 172, 13]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [210, 4, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 17, 46, 27]}, {\"cell\": \"122\", \"bbox\": [133, 17, 147, 27]}, {\"cell\": \"100\", \"bbox\": [210, 17, 224, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 31, 79, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 45, 34, 55]}, {\"cell\": \"56\", \"bbox\": [133, 45, 143, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 59, 30, 69]}, {\"cell\": \"21–79\", \"bbox\": [133, 59, 155, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 73, 26, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 87, 26, 97]}, {\"cell\": \"74\", \"bbox\": [133, 87, 143, 97]}, {\"cell\": \"61\", \"bbox\": [210, 87, 220, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 101, 34, 111]}, {\"cell\": \"48\", \"bbox\": [133, 101, 143, 111]}, {\"cell\": \"39\", \"bbox\": [210, 101, 220, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 32, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 129, 58, 139]}, {\"cell\": \"47\", \"bbox\": [133, 129, 143, 139]}, {\"cell\": \"38.6\", \"bbox\": [210, 129, 225, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 143, 57, 153]}, {\"cell\": \"26\", \"bbox\": [133, 143, 143, 153]}, {\"cell\": \"21.3\", \"bbox\": [210, 143, 225, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 157, 65, 167]}, {\"cell\": \"17\", \"bbox\": [133, 157, 143, 167]}, {\"cell\": \"13.9\", \"bbox\": [210, 157, 225, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 171, 72, 180]}, {\"cell\": \"7\", \"bbox\": [133, 171, 139, 180]}, {\"cell\": \"5.7\", \"bbox\": [210, 171, 221, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 185, 44, 194]}, {\"cell\": \"6\", \"bbox\": [133, 185, 139, 194]}, {\"cell\": \"4.9\", \"bbox\": [210, 185, 221, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 199, 62, 208]}, {\"cell\": \"4\", \"bbox\": [133, 199, 139, 208]}, {\"cell\": \"3.3\", \"bbox\": [210, 199, 221, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 213, 29, 222]}, {\"cell\": \"15\", \"bbox\": [133, 213, 143, 222]}, {\"cell\": \"12.3\", \"bbox\": [210, 213, 225, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 43, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 241, 18, 250]}, {\"cell\": \"12\", \"bbox\": [133, 241, 143, 250]}, {\"cell\": \"9.8\", \"bbox\": [210, 241, 221, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 255, 18, 264]}, {\"cell\": \"7\", \"bbox\": [133, 255, 139, 264]}, {\"cell\": \"5.7\", \"bbox\": [210, 255, 221, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 269, 18, 278]}, {\"cell\": \"16\", \"bbox\": [133, 269, 143, 278]}, {\"cell\": \"13.2\", \"bbox\": [210, 269, 225, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 283, 18, 292]}, {\"cell\": \"87\", \"bbox\": [133, 283, 143, 292]}, {\"cell\": \"71.3\", \"bbox\": [210, 283, 225, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 62, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 311, 52, 320]}, {\"cell\": \"86\", \"bbox\": [133, 311, 143, 320]}, {\"cell\": \"70.5\", \"bbox\": [210, 311, 225, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 325, 48, 334]}, {\"cell\": \"36\", \"bbox\": [133, 325, 143, 334]}, {\"cell\": \"29.5\", \"bbox\": [210, 325, 225, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 67, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 353, 67, 362]}, {\"cell\": \"82\", \"bbox\": [133, 353, 143, 362]}, {\"cell\": \"67.2\", \"bbox\": [210, 353, 225, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 367, 46, 376]}, {\"cell\": \"40\", \"bbox\": [133, 367, 143, 376]}, {\"cell\": \"32.8\", \"bbox\": [210, 367, 225, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 54, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 395, 18, 404]}, {\"cell\": \"11\", \"bbox\": [133, 395, 143, 404]}, {\"cell\": \"9.0\", \"bbox\": [210, 395, 221, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 409, 18, 418]}, {\"cell\": \"24\", \"bbox\": [133, 409, 143, 418]}, {\"cell\": \"19.7\", \"bbox\": [210, 409, 225, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 423, 18, 432]}, {\"cell\": \"33\", \"bbox\": [133, 423, 143, 432]}, {\"cell\": \"27.1\", \"bbox\": [210, 423, 225, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 437, 18, 446]}, {\"cell\": \"31\", \"bbox\": [133, 437, 143, 446]}, {\"cell\": \"25.4\", \"bbox\": [210, 437, 225, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 451, 51, 460]}, {\"cell\": \"23\", \"bbox\": [133, 451, 143, 460]}, {\"cell\": \"18.8\", \"bbox\": [210, 451, 225, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 465, 95, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 479, 28, 488]}, {\"cell\": \"108\", \"bbox\": [133, 479, 147, 488]}, {\"cell\": \"88.5\", \"bbox\": [210, 479, 225, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 493, 58, 502]}, {\"cell\": \"11\", \"bbox\": [133, 493, 143, 502]}, {\"cell\": \"9.0\", \"bbox\": [210, 493, 221, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 507, 45, 516]}, {\"cell\": \"3\", \"bbox\": [133, 507, 139, 516]}, {\"cell\": \"2.5\", \"bbox\": [210, 507, 221, 516]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 521, 43, 530]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 535, 37, 544]}, {\"cell\": \"87\", \"bbox\": [133, 535, 143, 544]}, {\"cell\": \"71.3\", \"bbox\": [210, 535, 225, 544]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 549, 37, 558]}, {\"cell\": \"35\", \"bbox\": [133, 549, 143, 558]}, {\"cell\": \"28.7\", \"bbox\": [210, 549, 225, 558]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4743109_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}348{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Analysis Method</b></td><td colspan=\\\"2\\\"><b>Overall (<i>n</i> = 33,798)</b></td><td colspan=\\\"2\\\"><b>Men (<i>n</i> = 11,484)</b></td><td colspan=\\\"2\\\"><b>Women (<i>n</i> = 22,314)</b></td><td colspan=\\\"2\\\"><b>Reported HIV-Negative Result (<i>n</i> = 15,946)</b></td><td colspan=\\\"2\\\"><b>Reported HIV-Positive Result (<i>n</i> = 2,483)</b></td><td colspan=\\\"2\\\"><b>Refused to Disclose HIV Test Result (<i>n</i> = 1,011)</b></td><td colspan=\\\"2\\\"><b>Never Tested (<i>n</i> = 14,358)</b></td></tr><tr><td><b>%</b></td><td><b>SE</b></td><td><b>%</b></td><td><b>SE</b></td><td><b>%</b></td><td><b>SE</b></td><td><b>%</b></td><td><b>SE</b></td><td><b>%</b></td><td><b>SE</b></td><td><b>%</b></td><td><b>SE</b></td><td><b>%</b></td><td><b>SE</b></td></tr></thead><tbody><tr><td>Complete-case analysis<sup>b</sup></td><td>17.1</td><td>0.2</td><td>12.5</td><td>0.4</td><td>19.4</td><td>0.3</td><td>8.8</td><td>0.3</td><td>97.0</td><td>0.4</td><td>36.0</td><td>2.0</td><td>[EMPTY_CELL]</td><td>0.3</td></tr><tr><td>Worst-case imputation<sup>c</sup></td><td>43.5</td><td>0.3</td><td>41.5</td><td>0.5</td><td>44.5</td><td>0.3</td><td>34.6</td><td>0.4</td><td>98.2</td><td>0.3</td><td>65.1</td><td>1.5</td><td>[EMPTY_CELL]</td><td>0.4</td></tr><tr><td>Best-case imputation<sup>d</sup></td><td>11.7</td><td>0.2</td><td>8.3</td><td>0.3</td><td>13.4</td><td>0.2</td><td>6.3</td><td>0.2</td><td>59.7</td><td>1.0</td><td>19.6</td><td>1.2</td><td>[EMPTY_CELL]</td><td>0.2</td></tr><tr><td>Multiple imputation under MAR</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Model A<sup>e</sup></td><td>17.4</td><td>0.3</td><td>12.8</td><td>0.4</td><td>19.8</td><td>0.3</td><td>11.4</td><td>0.3</td><td>69.1</td><td>1.1</td><td>29.1</td><td>1.8</td><td>[EMPTY_CELL]</td><td>0.3</td></tr><tr><td> Model B<sup>f</sup></td><td>17.4</td><td>0.3</td><td>12.8</td><td>0.4</td><td>19.8</td><td>0.3</td><td>11.4</td><td>0.3</td><td>69.3</td><td>1.1</td><td>29.1</td><td>1.7</td><td>[EMPTY_CELL]</td><td>0.4</td></tr><tr><td> Model C<sup>g</sup></td><td>17.5</td><td>0.2</td><td>12.8</td><td>0.4</td><td>19.9</td><td>0.3</td><td>11.1</td><td>0.3</td><td>74.4</td><td>1.1</td><td>30.1</td><td>1.6</td><td>[EMPTY_CELL]</td><td>0.3</td></tr><tr><td> Model D<sup>h</sup></td><td>18.1</td><td>0.2</td><td>13.4</td><td>0.4</td><td>20.6</td><td>0.3</td><td>8.8</td><td>0.3</td><td>96.9</td><td>0.4</td><td>36.0</td><td>2.0</td><td>[EMPTY_CELL]</td><td>0.3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Analysis Method</b>\", \"bbox\": [35, 19, 92, 27]}, {\"cell\": \"<b>Overall (<i>n</i> = 33,798)</b>\", \"bbox\": [144, 8, 185, 25]}, {\"cell\": \"<b>Men (<i>n</i> = 11,484)</b>\", \"bbox\": [216, 8, 257, 25]}, {\"cell\": \"<b>Women (<i>n</i> = 22,314)</b>\", \"bbox\": [288, 8, 329, 25]}, {\"cell\": \"<b>Reported HIV-Negative Result (<i>n</i> = 15,946)</b>\", \"bbox\": [358, 4, 412, 29]}, {\"cell\": \"<b>Reported HIV-Positive Result (<i>n</i> = 2,483)</b>\", \"bbox\": [441, 4, 492, 29]}, {\"cell\": \"<b>Refused to Disclose HIV Test Result (<i>n</i> = 1,011)</b>\", \"bbox\": [518, 4, 578, 29]}, {\"cell\": \"<b>Never Tested (<i>n</i> = 14,358)</b>\", \"bbox\": [602, 8, 647, 25]}, {\"cell\": \"<b>%</b>\", \"bbox\": [144, 33, 152, 42]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [178, 33, 190, 42]}, {\"cell\": \"<b>%</b>\", \"bbox\": [216, 33, 224, 42]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [250, 33, 261, 42]}, {\"cell\": \"<b>%</b>\", \"bbox\": [288, 33, 296, 42]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [322, 33, 333, 42]}, {\"cell\": \"<b>%</b>\", \"bbox\": [361, 33, 369, 42]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [400, 33, 411, 42]}, {\"cell\": \"<b>%</b>\", \"bbox\": [442, 33, 450, 42]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [481, 33, 493, 42]}, {\"cell\": \"<b>%</b>\", \"bbox\": [524, 33, 532, 42]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [563, 33, 574, 42]}, {\"cell\": \"<b>%</b>\", \"bbox\": [604, 33, 612, 42]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [638, 33, 649, 42]}, {\"cell\": \"Complete-case analysis<sup>b</sup>\", \"bbox\": [8, 45, 98, 56]}, {\"cell\": \"17.1\", \"bbox\": [139, 47, 157, 56]}, {\"cell\": \"0.2\", \"bbox\": [177, 47, 190, 56]}, {\"cell\": \"12.5\", \"bbox\": [211, 47, 229, 56]}, {\"cell\": \"0.4\", \"bbox\": [249, 47, 262, 56]}, {\"cell\": \"19.4\", \"bbox\": [283, 47, 300, 56]}, {\"cell\": \"0.3\", \"bbox\": [321, 47, 334, 56]}, {\"cell\": \"8.8\", \"bbox\": [361, 47, 374, 56]}, {\"cell\": \"0.3\", \"bbox\": [399, 47, 412, 56]}, {\"cell\": \"97.0\", \"bbox\": [438, 47, 455, 56]}, {\"cell\": \"0.4\", \"bbox\": [481, 47, 493, 56]}, {\"cell\": \"36.0\", \"bbox\": [519, 47, 536, 56]}, {\"cell\": \"2.0\", \"bbox\": [562, 47, 575, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 47, 616, 56]}, {\"cell\": \"0.3\", \"bbox\": [637, 47, 650, 56]}, {\"cell\": \"Worst-case imputation<sup>c</sup>\", \"bbox\": [8, 58, 92, 69]}, {\"cell\": \"43.5\", \"bbox\": [139, 60, 157, 69]}, {\"cell\": \"0.3\", \"bbox\": [177, 60, 190, 69]}, {\"cell\": \"41.5\", \"bbox\": [211, 60, 229, 69]}, {\"cell\": \"0.5\", \"bbox\": [249, 60, 262, 69]}, {\"cell\": \"44.5\", \"bbox\": [283, 60, 300, 69]}, {\"cell\": \"0.3\", \"bbox\": [321, 60, 334, 69]}, {\"cell\": \"34.6\", \"bbox\": [356, 60, 374, 69]}, {\"cell\": \"0.4\", \"bbox\": [399, 60, 412, 69]}, {\"cell\": \"98.2\", \"bbox\": [438, 60, 455, 69]}, {\"cell\": \"0.3\", \"bbox\": [481, 60, 493, 69]}, {\"cell\": \"65.1\", \"bbox\": [519, 60, 536, 69]}, {\"cell\": \"1.5\", \"bbox\": [562, 60, 575, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 60, 616, 69]}, {\"cell\": \"0.4\", \"bbox\": [637, 60, 650, 69]}, {\"cell\": \"Best-case imputation<sup>d</sup>\", \"bbox\": [8, 71, 88, 82]}, {\"cell\": \"11.7\", \"bbox\": [139, 73, 157, 82]}, {\"cell\": \"0.2\", \"bbox\": [177, 73, 190, 82]}, {\"cell\": \"8.3\", \"bbox\": [216, 73, 229, 82]}, {\"cell\": \"0.3\", \"bbox\": [249, 73, 262, 82]}, {\"cell\": \"13.4\", \"bbox\": [283, 73, 300, 82]}, {\"cell\": \"0.2\", \"bbox\": [321, 73, 334, 82]}, {\"cell\": \"6.3\", \"bbox\": [361, 73, 374, 82]}, {\"cell\": \"0.2\", \"bbox\": [399, 73, 412, 82]}, {\"cell\": \"59.7\", \"bbox\": [438, 73, 455, 82]}, {\"cell\": \"1.0\", \"bbox\": [481, 73, 493, 82]}, {\"cell\": \"19.6\", \"bbox\": [519, 73, 536, 82]}, {\"cell\": \"1.2\", \"bbox\": [562, 73, 575, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [603, 73, 616, 82]}, {\"cell\": \"0.2\", \"bbox\": [637, 73, 650, 82]}, {\"cell\": \"Multiple imputation under MAR\", \"bbox\": [8, 86, 119, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Model A<sup>e</sup>\", \"bbox\": [16, 97, 51, 108]}, {\"cell\": \"17.4\", \"bbox\": [139, 99, 157, 108]}, {\"cell\": \"0.3\", \"bbox\": [177, 99, 190, 108]}, {\"cell\": \"12.8\", \"bbox\": [211, 99, 229, 108]}, {\"cell\": \"0.4\", \"bbox\": [249, 99, 262, 108]}, {\"cell\": \"19.8\", \"bbox\": [283, 99, 300, 108]}, {\"cell\": \"0.3\", \"bbox\": [321, 99, 334, 108]}, {\"cell\": \"11.4\", \"bbox\": [356, 99, 374, 108]}, {\"cell\": \"0.3\", \"bbox\": [399, 99, 412, 108]}, {\"cell\": \"69.1\", \"bbox\": [438, 99, 455, 108]}, {\"cell\": \"1.1\", \"bbox\": [481, 99, 493, 108]}, {\"cell\": \"29.1\", \"bbox\": [519, 99, 536, 108]}, {\"cell\": \"1.8\", \"bbox\": [562, 99, 575, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 99, 616, 108]}, {\"cell\": \"0.3\", \"bbox\": [637, 99, 650, 108]}, {\"cell\": \" Model B<sup>f</sup>\", \"bbox\": [16, 110, 49, 121]}, {\"cell\": \"17.4\", \"bbox\": [139, 112, 157, 121]}, {\"cell\": \"0.3\", \"bbox\": [177, 112, 190, 121]}, {\"cell\": \"12.8\", \"bbox\": [211, 112, 229, 121]}, {\"cell\": \"0.4\", \"bbox\": [249, 112, 262, 121]}, {\"cell\": \"19.8\", \"bbox\": [283, 112, 300, 121]}, {\"cell\": \"0.3\", \"bbox\": [321, 112, 334, 121]}, {\"cell\": \"11.4\", \"bbox\": [356, 112, 374, 121]}, {\"cell\": \"0.3\", \"bbox\": [399, 112, 412, 121]}, {\"cell\": \"69.3\", \"bbox\": [438, 112, 455, 121]}, {\"cell\": \"1.1\", \"bbox\": [481, 112, 493, 121]}, {\"cell\": \"29.1\", \"bbox\": [519, 112, 536, 121]}, {\"cell\": \"1.7\", \"bbox\": [562, 112, 575, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 112, 616, 121]}, {\"cell\": \"0.4\", \"bbox\": [637, 112, 650, 121]}, {\"cell\": \" Model C<sup>g</sup>\", \"bbox\": [16, 123, 51, 134]}, {\"cell\": \"17.5\", \"bbox\": [139, 125, 157, 134]}, {\"cell\": \"0.2\", \"bbox\": [177, 125, 190, 134]}, {\"cell\": \"12.8\", \"bbox\": [211, 125, 229, 134]}, {\"cell\": \"0.4\", \"bbox\": [249, 125, 262, 134]}, {\"cell\": \"19.9\", \"bbox\": [283, 125, 300, 134]}, {\"cell\": \"0.3\", \"bbox\": [321, 125, 334, 134]}, {\"cell\": \"11.1\", \"bbox\": [356, 125, 374, 134]}, {\"cell\": \"0.3\", \"bbox\": [399, 125, 412, 134]}, {\"cell\": \"74.4\", \"bbox\": [438, 125, 455, 134]}, {\"cell\": \"1.1\", \"bbox\": [481, 125, 493, 134]}, {\"cell\": \"30.1\", \"bbox\": [519, 125, 536, 134]}, {\"cell\": \"1.6\", \"bbox\": [562, 125, 575, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 125, 616, 134]}, {\"cell\": \"0.3\", \"bbox\": [637, 125, 650, 134]}, {\"cell\": \" Model D<sup>h</sup>\", \"bbox\": [16, 136, 51, 147]}, {\"cell\": \"18.1\", \"bbox\": [139, 138, 157, 147]}, {\"cell\": \"0.2\", \"bbox\": [177, 138, 190, 147]}, {\"cell\": \"13.4\", \"bbox\": [211, 138, 229, 147]}, {\"cell\": \"0.4\", \"bbox\": [249, 138, 262, 147]}, {\"cell\": \"20.6\", \"bbox\": [283, 138, 300, 147]}, {\"cell\": \"0.3\", \"bbox\": [321, 138, 334, 147]}, {\"cell\": \"8.8\", \"bbox\": [361, 138, 374, 147]}, {\"cell\": \"0.3\", \"bbox\": [399, 138, 412, 147]}, {\"cell\": \"96.9\", \"bbox\": [438, 138, 455, 147]}, {\"cell\": \"0.4\", \"bbox\": [481, 138, 493, 147]}, {\"cell\": \"36.0\", \"bbox\": [519, 138, 536, 147]}, {\"cell\": \"2.0\", \"bbox\": [562, 138, 575, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [599, 138, 616, 147]}, {\"cell\": \"0.3\", \"bbox\": [637, 138, 650, 147]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5860630_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}349{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Related to</b></td><td><b>Factor</b></td><td><b>Effect on systolic blood pressure (mmHg)</b></td><td><b>Effect on diastolic blood pressure (mmHg)</b></td></tr></thead><tbody><tr><td>Environment in which measurement is conducted</td><td>[EMPTY_CELL]</td><td>⇑ 14 mmHg</td><td>⇑ 15 mmHg</td></tr><tr><td rowspan=\\\"5\\\">Person being measured</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>⇑ 10–15 mmHg, in case of uncomfortably distended bladder</td><td rowspan=\\\"2\\\">⇑ 10 mmHg, in case of uncomfortably distended bladder ⇑ 40 mmHg</td></tr><tr><td>⇑ 50 mmHg</td></tr><tr><td>Heavy physical exercise before measurement [3]</td><td>[EMPTY_CELL]</td><td>⇓ 7–9 mmHg</td></tr><tr><td>Heavy meal before measurement [3]</td><td>[EMPTY_CELL]</td><td>⇓ 20 mmHg</td></tr><tr><td>Smoking before measurement [3]</td><td>[EMPTY_CELL]</td><td>⇑ 8 mmHg</td></tr><tr><td rowspan=\\\"9\\\">Measurement procedure</td><td>[EMPTY_CELL]</td><td>⇑ 10–20 mmHg</td><td>⇑ 14 mmHg</td></tr><tr><td>Left arm vs. right arm [6]</td><td>[EMPTY_CELL]</td><td>⇑ 1 mmHg</td></tr><tr><td>Supine vs. sitting [7]</td><td>[EMPTY_CELL]</td><td>⇑ 1–5 mmHg</td></tr><tr><td>Back/feet unsupported vs. supported [4]</td><td>[EMPTY_CELL]</td><td>⇑ 6 mmHg</td></tr><tr><td>Arm unsupported during the measurement vs. arm supported [4,11]</td><td>[EMPTY_CELL]</td><td>⇑ 5–11 mmHg</td></tr><tr><td>Legs crossed vs. not crossed [8]</td><td>[EMPTY_CELL]</td><td>⇑ 3–5 mmHg</td></tr><tr><td>Talking during the measurement vs. silent [4,12]</td><td>[EMPTY_CELL]</td><td>⇑ 13 mmHg</td></tr><tr><td>Arm below heart level vs. arm at the heart level [9-11]</td><td>[EMPTY_CELL]</td><td>⇑ 10 mmHg</td></tr><tr><td>Cuff over clothing vs. cuff on bare arm [4]</td><td>[EMPTY_CELL]</td><td>not reported</td></tr><tr><td rowspan=\\\"4\\\">Device</td><td>[EMPTY_CELL]</td><td>⇓ 10–30 mmHg</td><td>⇓ 10–30 mmHg</td></tr><tr><td rowspan=\\\"2\\\">Cuff too small [11]</td><td>[EMPTY_CELL]</td><td>⇑ 2–8 mmHg, in obese persons</td></tr><tr><td>⇑ 30 mmHg</td><td>[EMPTY_CELL]</td></tr><tr><td>Diaphragm of stethoscope vs. bell (auscultation method used) [16,17]</td><td>[EMPTY_CELL]</td><td>⇓ 0–2 mmHg</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0–5 mmHg</td><td>0–5 mmH</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Related to</b>\", \"bbox\": [1, 4, 38, 13]}, {\"cell\": \"<b>Factor</b>\", \"bbox\": [94, 4, 118, 13]}, {\"cell\": \"<b>Effect on systolic blood pressure (mmHg)</b>\", \"bbox\": [245, 4, 328, 22]}, {\"cell\": \"<b>Effect on diastolic blood pressure (mmHg)</b>\", \"bbox\": [358, 4, 445, 22]}, {\"cell\": \"Environment in which measurement is conducted\", \"bbox\": [1, 26, 90, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 26, 202, 45]}, {\"cell\": \"⇑ 14 mmHg\", \"bbox\": [245, 26, 287, 36]}, {\"cell\": \"⇑ 15 mmHg\", \"bbox\": [358, 26, 401, 36]}, {\"cell\": \"Person being measured\", \"bbox\": [1, 49, 79, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 49, 150, 59]}, {\"cell\": \"⇑ 10–15 mmHg, in case of uncomfortably distended bladder\", \"bbox\": [245, 49, 354, 68]}, {\"cell\": \"⇑ 10 mmHg, in case of uncomfortably distended bladder ⇑ 40 mmHg\", \"bbox\": [358, 49, 484, 68]}, {\"cell\": \"⇑ 50 mmHg\", \"bbox\": [245, 72, 287, 82]}, {\"cell\": \"Heavy physical exercise before measurement [3]\", \"bbox\": [94, 86, 194, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 86, 299, 96]}, {\"cell\": \"⇓ 7–9 mmHg\", \"bbox\": [358, 86, 405, 96]}, {\"cell\": \"Heavy meal before measurement [3]\", \"bbox\": [94, 109, 214, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 109, 287, 119]}, {\"cell\": \"⇓ 20 mmHg\", \"bbox\": [358, 109, 401, 119]}, {\"cell\": \"Smoking before measurement [3]\", \"bbox\": [94, 123, 204, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 123, 287, 133]}, {\"cell\": \"⇑ 8 mmHg\", \"bbox\": [358, 123, 397, 133]}, {\"cell\": \"Measurement procedure\", \"bbox\": [1, 137, 81, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 137, 201, 156]}, {\"cell\": \"⇑ 10–20 mmHg\", \"bbox\": [245, 137, 299, 147]}, {\"cell\": \"⇑ 14 mmHg\", \"bbox\": [358, 137, 401, 147]}, {\"cell\": \"Left arm vs. right arm [6]\", \"bbox\": [94, 160, 176, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 160, 291, 170]}, {\"cell\": \"⇑ 1 mmHg\", \"bbox\": [358, 160, 397, 170]}, {\"cell\": \"Supine vs. sitting [7]\", \"bbox\": [94, 174, 161, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 174, 295, 184]}, {\"cell\": \"⇑ 1–5 mmHg\", \"bbox\": [358, 174, 405, 184]}, {\"cell\": \"Back/feet unsupported vs. supported [4]\", \"bbox\": [94, 188, 225, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 188, 295, 198]}, {\"cell\": \"⇑ 6 mmHg\", \"bbox\": [358, 188, 397, 198]}, {\"cell\": \"Arm unsupported during the measurement vs. arm supported [4,11]\", \"bbox\": [94, 202, 236, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 202, 291, 212]}, {\"cell\": \"⇑ 5–11 mmHg\", \"bbox\": [358, 202, 409, 212]}, {\"cell\": \"Legs crossed vs. not crossed [8]\", \"bbox\": [94, 225, 198, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 225, 291, 235]}, {\"cell\": \"⇑ 3–5 mmHg\", \"bbox\": [358, 225, 405, 235]}, {\"cell\": \"Talking during the measurement vs. silent [4,12]\", \"bbox\": [94, 239, 212, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 239, 287, 249]}, {\"cell\": \"⇑ 13 mmHg\", \"bbox\": [358, 239, 401, 249]}, {\"cell\": \"Arm below heart level vs. arm at the heart level [9-11]\", \"bbox\": [94, 262, 214, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 262, 287, 272]}, {\"cell\": \"⇑ 10 mmHg\", \"bbox\": [358, 262, 401, 272]}, {\"cell\": \"Cuff over clothing vs. cuff on bare arm [4]\", \"bbox\": [94, 285, 231, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 285, 283, 295]}, {\"cell\": \"not reported\", \"bbox\": [358, 285, 401, 295]}, {\"cell\": \"Device\", \"bbox\": [1, 299, 24, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 299, 155, 309]}, {\"cell\": \"⇓ 10–30 mmHg\", \"bbox\": [245, 299, 299, 309]}, {\"cell\": \"⇓ 10–30 mmHg\", \"bbox\": [358, 299, 412, 309]}, {\"cell\": \"Cuff too small [11]\", \"bbox\": [94, 313, 155, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 313, 353, 323]}, {\"cell\": \"⇑ 2–8 mmHg, in obese persons\", \"bbox\": [358, 313, 463, 323]}, {\"cell\": \"⇑ 30 mmHg\", \"bbox\": [245, 327, 287, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [358, 327, 401, 337]}, {\"cell\": \"Diaphragm of stethoscope vs. bell (auscultation method used) [16,17]\", \"bbox\": [94, 341, 208, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 341, 291, 351]}, {\"cell\": \"⇓ 0–2 mmHg\", \"bbox\": [358, 341, 405, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 364, 171, 374]}, {\"cell\": \"0–5 mmHg\", \"bbox\": [245, 364, 283, 374]}, {\"cell\": \"0–5 mmH\", \"bbox\": [358, 364, 392, 374]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4403933_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}350{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>number of families tested: LFS/LFL/suggestive</b></td><td><b>total <i>CHEK2 </i>analysis</b></td><td><b>CHEK2 1100delC analysis + DNA rearrangements</b></td><td><b>mutations found</b></td></tr></thead><tbody><tr><td><i>Allinen et al</i>. [11]</td><td>[EMPTY_CELL]</td><td>21</td><td>0</td><td>p.Ile157Thr</td></tr><tr><td><i>Bell et al</i>. [10]</td><td>[EMPTY_CELL]</td><td>22</td><td>0</td><td>c.1100delCp.Ile157Thr</td></tr><tr><td><i>Bougeard et al</i>. [12]</td><td>[EMPTY_CELL]</td><td>4</td><td>0</td><td>-</td></tr><tr><td><i>Lee et al</i>. [13]</td><td>[EMPTY_CELL]</td><td>59</td><td>0</td><td>p.Arg145Trpp.Arg3Trpp.Ile157Thr</td></tr><tr><td><i>Siddiqui et al</i>. [16]</td><td>[EMPTY_CELL]</td><td>0</td><td>15</td><td>-</td></tr><tr><td><i>Sodha et al</i>. [15]</td><td>[EMPTY_CELL]</td><td>26</td><td>0</td><td>IVS5-11G>Ac.483-485delAGA</td></tr><tr><td><i>Vahteristo et al</i>. [14]</td><td>[EMPTY_CELL]</td><td>39</td><td>0</td><td>c.1100delC</td></tr><tr><td><i>Walsh et al</i>. [16]</td><td>[EMPTY_CELL]</td><td>10</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>our results</td><td>[EMPTY_CELL]</td><td>34</td><td>31</td><td>p.Phe328Serc.1100delCc.1081-?_1771+?del</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>number of families tested: LFS/LFL/suggestive</b>\", \"bbox\": [77, 5, 199, 23]}, {\"cell\": \"<b>total <i>CHEK2 </i>analysis</b>\", \"bbox\": [208, 5, 289, 14]}, {\"cell\": \"<b>CHEK2 1100delC analysis + DNA rearrangements</b>\", \"bbox\": [295, 5, 403, 23]}, {\"cell\": \"<b>mutations found</b>\", \"bbox\": [430, 5, 495, 14]}, {\"cell\": \"<i>Allinen et al</i>. [11]\", \"bbox\": [4, 36, 61, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 36, 100, 46]}, {\"cell\": \"21\", \"bbox\": [208, 36, 218, 46]}, {\"cell\": \"0\", \"bbox\": [295, 36, 301, 46]}, {\"cell\": \"p.Ile157Thr\", \"bbox\": [430, 36, 470, 46]}, {\"cell\": \"<i>Bell et al</i>. [10]\", \"bbox\": [4, 58, 51, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 58, 97, 68]}, {\"cell\": \"22\", \"bbox\": [208, 58, 218, 68]}, {\"cell\": \"0\", \"bbox\": [295, 58, 301, 68]}, {\"cell\": \"c.1100delCp.Ile157Thr\", \"bbox\": [430, 58, 470, 77]}, {\"cell\": \"<i>Bougeard et al</i>. [12]\", \"bbox\": [4, 90, 69, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 90, 96, 99]}, {\"cell\": \"4\", \"bbox\": [208, 90, 214, 99]}, {\"cell\": \"0\", \"bbox\": [295, 90, 301, 99]}, {\"cell\": \"-\", \"bbox\": [430, 90, 435, 99]}, {\"cell\": \"<i>Lee et al</i>. [13]\", \"bbox\": [4, 112, 51, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 112, 101, 122]}, {\"cell\": \"59\", \"bbox\": [208, 112, 219, 122]}, {\"cell\": \"0\", \"bbox\": [295, 112, 301, 122]}, {\"cell\": \"p.Arg145Trpp.Arg3Trpp.Ile157Thr\", \"bbox\": [430, 112, 475, 140]}, {\"cell\": \"<i>Siddiqui et al</i>. [16]\", \"bbox\": [4, 153, 64, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 153, 100, 162]}, {\"cell\": \"0\", \"bbox\": [208, 153, 214, 162]}, {\"cell\": \"15\", \"bbox\": [295, 153, 305, 162]}, {\"cell\": \"-\", \"bbox\": [430, 153, 435, 162]}, {\"cell\": \"<i>Sodha et al</i>. [15]\", \"bbox\": [4, 175, 59, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 175, 100, 185]}, {\"cell\": \"26\", \"bbox\": [208, 175, 219, 185]}, {\"cell\": \"0\", \"bbox\": [295, 175, 301, 185]}, {\"cell\": \"IVS5-11G>Ac.483-485delAGA\", \"bbox\": [430, 175, 492, 194]}, {\"cell\": \"<i>Vahteristo et al</i>. [14]\", \"bbox\": [4, 206, 71, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 206, 100, 216]}, {\"cell\": \"39\", \"bbox\": [208, 206, 219, 216]}, {\"cell\": \"0\", \"bbox\": [295, 206, 301, 216]}, {\"cell\": \"c.1100delC\", \"bbox\": [430, 206, 470, 216]}, {\"cell\": \"<i>Walsh et al</i>. [16]\", \"bbox\": [4, 229, 60, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 229, 96, 238]}, {\"cell\": \"10\", \"bbox\": [208, 229, 219, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [430, 229, 435, 238]}, {\"cell\": \"our results\", \"bbox\": [4, 251, 43, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 251, 104, 261]}, {\"cell\": \"34\", \"bbox\": [208, 251, 219, 261]}, {\"cell\": \"31\", \"bbox\": [295, 251, 305, 261]}, {\"cell\": \"p.Phe328Serc.1100delCc.1081-?_1771+?del\", \"bbox\": [430, 251, 497, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2664322_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}351{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Townsend</b></td><td><b>Carstairs</b></td><td><b>Havard</b></td><td><b>Rey</b></td></tr></thead><tbody><tr><td>Unemployment rate</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>Proportion of unemployed people > 1 y</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Proportion of households without a car</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Proportions of households with ≥ 2 cars</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Primary residences with > 1 person/room</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean number of people/room</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Blue-collar workers in the labour force</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>People ≥ 15 years old with only elementary education</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>People ≥ 15 years old with at least high-school diploma</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>People ≥ 15 years old with university graduation</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>People with permanent work contracts</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>People with non-permanent work contracts</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Households owners of their primary residence</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Subsidised housing among primary residences</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Primary residences that are houses or farms</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Primary residences that are multiple-dwelling units</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Single-parent families</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Foreigners in total population</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Median income per consumption unit or household</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 34, 13]}, {\"cell\": \"<b>Townsend</b>\", \"bbox\": [230, 4, 267, 13]}, {\"cell\": \"<b>Carstairs</b>\", \"bbox\": [315, 4, 347, 13]}, {\"cell\": \"<b>Havard</b>\", \"bbox\": [395, 4, 422, 13]}, {\"cell\": \"<b>Rey</b>\", \"bbox\": [470, 4, 484, 13]}, {\"cell\": \"Unemployment rate\", \"bbox\": [1, 17, 67, 27]}, {\"cell\": \"X\", \"bbox\": [245, 17, 252, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 17, 334, 27]}, {\"cell\": \"X\", \"bbox\": [405, 17, 412, 27]}, {\"cell\": \"X\", \"bbox\": [474, 17, 480, 27]}, {\"cell\": \"Proportion of unemployed people > 1 y\", \"bbox\": [1, 31, 130, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 31, 412, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Proportion of households without a car\", \"bbox\": [1, 45, 129, 55]}, {\"cell\": \"X\", \"bbox\": [245, 45, 252, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 45, 334, 55]}, {\"cell\": \"X\", \"bbox\": [405, 45, 412, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Proportions of households with ≥ 2 cars\", \"bbox\": [1, 59, 131, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 59, 412, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary residences with > 1 person/room\", \"bbox\": [1, 73, 135, 83]}, {\"cell\": \"X\", \"bbox\": [245, 73, 252, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 73, 334, 83]}, {\"cell\": \"X\", \"bbox\": [405, 73, 412, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean number of people/room\", \"bbox\": [1, 87, 101, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 87, 412, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Blue-collar workers in the labour force\", \"bbox\": [1, 101, 125, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 101, 334, 111]}, {\"cell\": \"X\", \"bbox\": [405, 101, 412, 111]}, {\"cell\": \"X\", \"bbox\": [474, 101, 480, 111]}, {\"cell\": \"People ≥ 15 years old with only elementary education\", \"bbox\": [1, 115, 176, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 115, 412, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"People ≥ 15 years old with at least high-school diploma\", \"bbox\": [0, 129, 182, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 129, 412, 139]}, {\"cell\": \"X\", \"bbox\": [474, 129, 480, 139]}, {\"cell\": \"People ≥ 15 years old with university graduation\", \"bbox\": [0, 143, 158, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 143, 412, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"People with permanent work contracts\", \"bbox\": [0, 157, 128, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 157, 412, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"People with non-permanent work contracts\", \"bbox\": [0, 171, 143, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 171, 412, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Households owners of their primary residence\", \"bbox\": [0, 185, 151, 195]}, {\"cell\": \"X\", \"bbox\": [245, 185, 252, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 185, 412, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Subsidised housing among primary residences\", \"bbox\": [0, 199, 152, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 199, 412, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary residences that are houses or farms\", \"bbox\": [0, 213, 143, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 213, 412, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Primary residences that are multiple-dwelling units\", \"bbox\": [0, 227, 165, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 227, 412, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Single-parent families\", \"bbox\": [0, 241, 71, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 241, 412, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Foreigners in total population\", \"bbox\": [0, 255, 98, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 255, 412, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Median income per consumption unit or household\", \"bbox\": [0, 269, 170, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [405, 269, 412, 279]}, {\"cell\": \"X\", \"bbox\": [474, 269, 480, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4063986_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}352{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Head</b></td><td><b>Eye/Ear/Face</b></td><td><b>Chest/Back</b></td><td><b>Upper Limb</b></td><td><b>Lower Limb</b></td><td><b>Other</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>0.8</td><td>0.8</td><td>0.8</td><td>2.5</td><td>5</td><td>0.8</td><td><b>10.7</b></td></tr><tr><td>[EMPTY_CELL]</td><td>5.8</td><td>3.3</td><td>0.8</td><td>28.1</td><td>18.2</td><td>0.8</td><td><b>57.0</b></td></tr><tr><td>[EMPTY_CELL]</td><td>2.5</td><td>0.8</td><td>0.8</td><td>3.3</td><td>5</td><td>0.8</td><td><b>13.2</b></td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td><td>2.5</td><td>0</td><td>0</td><td><b>2.5</b></td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>0.8</td><td>0</td><td>0</td><td>3.3</td><td>0.8</td><td><b>4.9</b></td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0.8</td><td>0.8</td><td>0</td><td>0.8</td><td><b>2.4</b></td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>2.5</td><td>2.5</td><td>0.8</td><td>0</td><td>3.3</td><td><b>9.1</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>9.1</b></td><td><b>8.2</b></td><td><b>5.7</b></td><td><b>38</b></td><td><b>31.5</b></td><td><b>7.3</b></td><td><b>100</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Head</b>\", \"bbox\": [97, 6, 122, 17]}, {\"cell\": \"<b>Eye/Ear/Face</b>\", \"bbox\": [146, 6, 206, 17]}, {\"cell\": \"<b>Chest/Back</b>\", \"bbox\": [229, 6, 280, 17]}, {\"cell\": \"<b>Upper Limb</b>\", \"bbox\": [303, 6, 332, 32]}, {\"cell\": \"<b>Lower Limb</b>\", \"bbox\": [355, 6, 385, 32]}, {\"cell\": \"<b>Other</b>\", \"bbox\": [408, 6, 436, 17]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [461, 6, 485, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [35, 44, 80, 55]}, {\"cell\": \"0.8\", \"bbox\": [102, 43, 117, 55]}, {\"cell\": \"0.8\", \"bbox\": [169, 43, 184, 55]}, {\"cell\": \"0.8\", \"bbox\": [247, 43, 262, 55]}, {\"cell\": \"2.5\", \"bbox\": [310, 43, 325, 55]}, {\"cell\": \"5\", \"bbox\": [366, 43, 373, 55]}, {\"cell\": \"0.8\", \"bbox\": [415, 43, 429, 55]}, {\"cell\": \"<b>10.7</b>\", \"bbox\": [463, 44, 483, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 72, 80, 83]}, {\"cell\": \"5.8\", \"bbox\": [102, 72, 117, 83]}, {\"cell\": \"3.3\", \"bbox\": [169, 72, 184, 83]}, {\"cell\": \"0.8\", \"bbox\": [247, 72, 262, 83]}, {\"cell\": \"28.1\", \"bbox\": [308, 72, 327, 83]}, {\"cell\": \"18.2\", \"bbox\": [360, 72, 380, 83]}, {\"cell\": \"0.8\", \"bbox\": [415, 72, 429, 83]}, {\"cell\": \"<b>57.0</b>\", \"bbox\": [463, 72, 483, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 94, 80, 120]}, {\"cell\": \"2.5\", \"bbox\": [102, 102, 117, 113]}, {\"cell\": \"0.8\", \"bbox\": [169, 102, 184, 113]}, {\"cell\": \"0.8\", \"bbox\": [247, 102, 262, 113]}, {\"cell\": \"3.3\", \"bbox\": [310, 102, 325, 113]}, {\"cell\": \"5\", \"bbox\": [366, 102, 373, 113]}, {\"cell\": \"0.8\", \"bbox\": [415, 102, 429, 113]}, {\"cell\": \"<b>13.2</b>\", \"bbox\": [463, 102, 483, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 131, 80, 142]}, {\"cell\": \"0\", \"bbox\": [106, 131, 113, 142]}, {\"cell\": \"0\", \"bbox\": [173, 131, 180, 142]}, {\"cell\": \"0\", \"bbox\": [251, 131, 258, 142]}, {\"cell\": \"2.5\", \"bbox\": [310, 131, 325, 142]}, {\"cell\": \"0\", \"bbox\": [366, 131, 373, 142]}, {\"cell\": \"0\", \"bbox\": [418, 131, 425, 142]}, {\"cell\": \"<b>2.5</b>\", \"bbox\": [466, 131, 480, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [26, 160, 80, 171]}, {\"cell\": \"0\", \"bbox\": [106, 160, 113, 171]}, {\"cell\": \"0.8\", \"bbox\": [169, 160, 184, 171]}, {\"cell\": \"0\", \"bbox\": [251, 160, 258, 171]}, {\"cell\": \"0\", \"bbox\": [314, 160, 321, 171]}, {\"cell\": \"3.3\", \"bbox\": [363, 160, 377, 171]}, {\"cell\": \"0.8\", \"bbox\": [415, 160, 429, 171]}, {\"cell\": \"<b>4.9</b>\", \"bbox\": [466, 160, 480, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [36, 189, 80, 200]}, {\"cell\": \"0\", \"bbox\": [106, 189, 113, 200]}, {\"cell\": \"0\", \"bbox\": [173, 189, 180, 200]}, {\"cell\": \"0.8\", \"bbox\": [247, 189, 262, 200]}, {\"cell\": \"0.8\", \"bbox\": [310, 189, 325, 200]}, {\"cell\": \"0\", \"bbox\": [366, 189, 373, 200]}, {\"cell\": \"0.8\", \"bbox\": [415, 189, 429, 200]}, {\"cell\": \"<b>2.4</b>\", \"bbox\": [466, 189, 480, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [52, 218, 80, 229]}, {\"cell\": \"0\", \"bbox\": [106, 217, 113, 229]}, {\"cell\": \"2.5\", \"bbox\": [169, 217, 184, 229]}, {\"cell\": \"2.5\", \"bbox\": [247, 217, 262, 229]}, {\"cell\": \"0.8\", \"bbox\": [310, 217, 325, 229]}, {\"cell\": \"0\", \"bbox\": [366, 217, 373, 229]}, {\"cell\": \"3.3\", \"bbox\": [415, 217, 429, 229]}, {\"cell\": \"<b>9.1</b>\", \"bbox\": [466, 218, 480, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [55, 246, 80, 257]}, {\"cell\": \"<b>9.1</b>\", \"bbox\": [102, 246, 117, 257]}, {\"cell\": \"<b>8.2</b>\", \"bbox\": [169, 246, 184, 257]}, {\"cell\": \"<b>5.7</b>\", \"bbox\": [247, 246, 262, 257]}, {\"cell\": \"<b>38</b>\", \"bbox\": [312, 246, 324, 257]}, {\"cell\": \"<b>31.5</b>\", \"bbox\": [360, 246, 380, 257]}, {\"cell\": \"<b>7.3</b>\", \"bbox\": [415, 246, 429, 257]}, {\"cell\": \"<b>100</b>\", \"bbox\": [464, 246, 482, 257]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4515700_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}353{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Factors correlated to tooth wear severity</b></td><td><b>Statistical method</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Age</td><td>Pearson</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender</td><td>Pearson</td><td>[EMPTY_CELL]</td></tr><tr><td>Systemic disease</td><td>Kruskal-Wallis</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of remaining teeth</td><td>Pearson</td><td>[EMPTY_CELL]</td></tr><tr><td>Acidic diet and drinks</td><td>Pearson</td><td>[EMPTY_CELL]</td></tr><tr><td>Bruxism and parafunction</td><td>Mann-Whitney</td><td>[EMPTY_CELL]</td></tr><tr><td>Biting objects</td><td>Mann-Whitney</td><td>[EMPTY_CELL]</td></tr><tr><td>Facial pain or tenderness</td><td>Mann-Whitney</td><td>[EMPTY_CELL]</td></tr><tr><td>TMJ problems</td><td>Mann-Whitney</td><td>[EMPTY_CELL]</td></tr><tr><td>Sour taste in the mouth</td><td>Mann-Whitney</td><td>[EMPTY_CELL]</td></tr><tr><td>Occupational risk</td><td>Mann-Whitney</td><td>[EMPTY_CELL]</td></tr><tr><td>Exposure to dust</td><td>Mann-Whitney</td><td>[EMPTY_CELL]</td></tr><tr><td>Unilateral chewing</td><td>Mann-Whitney</td><td>[EMPTY_CELL]</td></tr><tr><td>Using dental abrasives</td><td>Pearson</td><td>[EMPTY_CELL]</td></tr><tr><td>Using mouth rinse</td><td>Pearson</td><td>[EMPTY_CELL]</td></tr><tr><td>Intake of acidic medications</td><td>Mann-Whitney</td><td>[EMPTY_CELL]</td></tr><tr><td>Drinking alcohol</td><td>Pearson</td><td>[EMPTY_CELL]</td></tr><tr><td>Brushing:</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Frequency</td><td>Pearson</td><td>[EMPTY_CELL]</td></tr><tr><td> Technique</td><td>Kruskal-Wallis</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Factors correlated to tooth wear severity</b>\", \"bbox\": [2, 4, 99, 25]}, {\"cell\": \"<b>Statistical method</b>\", \"bbox\": [123, 9, 189, 19]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [213, 9, 241, 19]}, {\"cell\": \"Age\", \"bbox\": [2, 28, 18, 38]}, {\"cell\": \"Pearson\", \"bbox\": [141, 28, 171, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 28, 237, 38]}, {\"cell\": \"Gender\", \"bbox\": [2, 41, 31, 51]}, {\"cell\": \"Pearson\", \"bbox\": [141, 41, 171, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 41, 233, 51]}, {\"cell\": \"Systemic disease\", \"bbox\": [2, 54, 63, 64]}, {\"cell\": \"Kruskal-Wallis\", \"bbox\": [129, 54, 183, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 54, 237, 64]}, {\"cell\": \"Number of remaining teeth\", \"bbox\": [2, 67, 103, 77]}, {\"cell\": \"Pearson\", \"bbox\": [141, 67, 171, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 67, 237, 77]}, {\"cell\": \"Acidic diet and drinks\", \"bbox\": [2, 80, 83, 90]}, {\"cell\": \"Pearson\", \"bbox\": [141, 80, 171, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 80, 237, 90]}, {\"cell\": \"Bruxism and parafunction\", \"bbox\": [2, 93, 99, 103]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 93, 185, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 93, 237, 103]}, {\"cell\": \"Biting objects\", \"bbox\": [2, 106, 53, 116]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 106, 185, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 106, 237, 116]}, {\"cell\": \"Facial pain or tenderness\", \"bbox\": [2, 119, 93, 129]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 119, 185, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 119, 237, 129]}, {\"cell\": \"TMJ problems\", \"bbox\": [2, 132, 57, 142]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 132, 185, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 132, 233, 142]}, {\"cell\": \"Sour taste in the mouth\", \"bbox\": [2, 145, 89, 155]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 145, 185, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 145, 237, 155]}, {\"cell\": \"Occupational risk\", \"bbox\": [2, 158, 68, 168]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 158, 185, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 158, 233, 168]}, {\"cell\": \"Exposure to dust\", \"bbox\": [2, 171, 65, 181]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 171, 185, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 171, 235, 181]}, {\"cell\": \"Unilateral chewing\", \"bbox\": [2, 184, 72, 194]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 184, 185, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 184, 237, 194]}, {\"cell\": \"Using dental abrasives\", \"bbox\": [2, 197, 84, 207]}, {\"cell\": \"Pearson\", \"bbox\": [141, 197, 171, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 197, 237, 207]}, {\"cell\": \"Using mouth rinse\", \"bbox\": [2, 210, 71, 220]}, {\"cell\": \"Pearson\", \"bbox\": [141, 210, 171, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 210, 233, 220]}, {\"cell\": \"Intake of acidic medications\", \"bbox\": [2, 222, 59, 243]}, {\"cell\": \"Mann-Whitney\", \"bbox\": [127, 228, 185, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 228, 233, 238]}, {\"cell\": \"Drinking alcohol\", \"bbox\": [2, 246, 66, 256]}, {\"cell\": \"Pearson\", \"bbox\": [141, 246, 171, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 246, 233, 256]}, {\"cell\": \"Brushing:\", \"bbox\": [2, 259, 39, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Frequency\", \"bbox\": [12, 272, 52, 282]}, {\"cell\": \"Pearson\", \"bbox\": [141, 272, 171, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 272, 235, 282]}, {\"cell\": \" Technique\", \"bbox\": [12, 285, 52, 295]}, {\"cell\": \"Kruskal-Wallis\", \"bbox\": [129, 285, 183, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 285, 237, 295]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3420095_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}354{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Site</b></td><td colspan=\\\"4\\\"><b>Relative survival</b></td><td rowspan=\\\"2\\\"><b><i>p</i> Value</b></td></tr><tr><td><b>Both (%)</b></td><td><b>Radiation only (%)</b></td><td><b>Surgery only (%)</b></td><td><b>Neither rad. nor surgery (%)</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">Bone (SBP)</td></tr><tr><td> Axial skeleton (c41)</td><td>[EMPTY_CELL]</td><td>61.20%</td><td>46.4%</td><td>36.90%</td><td>< .05</td></tr><tr><td> Appendicular skeleton (c40)</td><td>[EMPTY_CELL]</td><td>63.6%</td><td>37.8%</td><td>32.5%</td><td>.024</td></tr><tr><td colspan=\\\"6\\\">Extramedullary plasmacytoma(EMP)</td></tr><tr><td> Upper respiratory tract[sinonasal mouth and pharynx (c00-14, c33-39)]</td><td>[EMPTY_CELL]</td><td>73.8%</td><td>96.7%</td><td>45.1%</td><td>< .05</td></tr><tr><td> Lower respiratory tract (c32-39)</td><td>[EMPTY_CELL]</td><td>42.3%</td><td>100%</td><td>33.5%</td><td>.001</td></tr><tr><td> Gastrointestinal Tract (c15-26)</td><td>[EMPTY_CELL]</td><td>33.7%</td><td>71.6%</td><td>28.0%</td><td>.057</td></tr><tr><td> Soft tissue and connective tissue (c49)</td><td>[EMPTY_CELL]</td><td>50.9%</td><td>43.2%</td><td>38.1%</td><td>.346</td></tr><tr><td> Central nervous system (c69-72)</td><td>[EMPTY_CELL]</td><td>92.6%</td><td>52.9%</td><td>0.00%</td><td>< .05</td></tr><tr><td> Lymph nodes (c27)</td><td>[EMPTY_CELL]</td><td>83.9%</td><td>63.0%</td><td>100.0%</td><td>.836</td></tr><tr><td> Skin (c44)</td><td>[EMPTY_CELL]</td><td>90.6%</td><td>91.0%</td><td>100.0%</td><td>.692</td></tr><tr><td> All other EMP sites(c48,50,53,56,67,68,73,74)</td><td>[EMPTY_CELL]</td><td>64.4%</td><td>62.3%</td><td>28.6%</td><td>.004</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Site</b>\", \"bbox\": [1, 4, 14, 13]}, {\"cell\": \"<b>Relative survival</b>\", \"bbox\": [163, 4, 216, 13]}, {\"cell\": \"<b><i>p</i> Value</b>\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"<b>Both (%)</b>\", \"bbox\": [163, 17, 193, 27]}, {\"cell\": \"<b>Radiation only (%)</b>\", \"bbox\": [208, 17, 268, 27]}, {\"cell\": \"<b>Surgery only (%)</b>\", \"bbox\": [283, 17, 338, 27]}, {\"cell\": \"<b>Neither rad. nor surgery (%)</b>\", \"bbox\": [353, 17, 444, 27]}, {\"cell\": \"Bone (SBP)\", \"bbox\": [1, 30, 37, 40]}, {\"cell\": \" Axial skeleton (c41)\", \"bbox\": [8, 44, 72, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 44, 188, 54]}, {\"cell\": \"61.20%\", \"bbox\": [208, 44, 232, 54]}, {\"cell\": \"46.4%\", \"bbox\": [283, 44, 304, 54]}, {\"cell\": \"36.90%\", \"bbox\": [353, 44, 377, 54]}, {\"cell\": \"< .05\", \"bbox\": [459, 44, 477, 54]}, {\"cell\": \" Appendicular skeleton (c40)\", \"bbox\": [8, 58, 100, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 58, 188, 68]}, {\"cell\": \"63.6%\", \"bbox\": [208, 58, 229, 68]}, {\"cell\": \"37.8%\", \"bbox\": [283, 58, 304, 68]}, {\"cell\": \"32.5%\", \"bbox\": [353, 58, 374, 68]}, {\"cell\": \".024\", \"bbox\": [459, 58, 474, 68]}, {\"cell\": \"Extramedullary plasmacytoma(EMP)\", \"bbox\": [1, 72, 116, 82]}, {\"cell\": \" Upper respiratory tract[sinonasal mouth and pharynx (c00-14, c33-39)]\", \"bbox\": [8, 86, 138, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 86, 188, 96]}, {\"cell\": \"73.8%\", \"bbox\": [208, 86, 229, 96]}, {\"cell\": \"96.7%\", \"bbox\": [283, 86, 304, 96]}, {\"cell\": \"45.1%\", \"bbox\": [353, 86, 374, 96]}, {\"cell\": \"< .05\", \"bbox\": [459, 86, 477, 96]}, {\"cell\": \" Lower respiratory tract (c32-39)\", \"bbox\": [8, 109, 110, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 109, 184, 119]}, {\"cell\": \"42.3%\", \"bbox\": [208, 109, 229, 119]}, {\"cell\": \"100%\", \"bbox\": [283, 109, 303, 119]}, {\"cell\": \"33.5%\", \"bbox\": [353, 109, 374, 119]}, {\"cell\": \".001\", \"bbox\": [459, 109, 474, 119]}, {\"cell\": \" Gastrointestinal Tract (c15-26)\", \"bbox\": [8, 123, 105, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 123, 184, 133]}, {\"cell\": \"33.7%\", \"bbox\": [208, 123, 229, 133]}, {\"cell\": \"71.6%\", \"bbox\": [283, 123, 304, 133]}, {\"cell\": \"28.0%\", \"bbox\": [353, 123, 374, 133]}, {\"cell\": \".057\", \"bbox\": [459, 123, 474, 133]}, {\"cell\": \" Soft tissue and connective tissue (c49)\", \"bbox\": [8, 137, 133, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 137, 184, 147]}, {\"cell\": \"50.9%\", \"bbox\": [208, 137, 229, 147]}, {\"cell\": \"43.2%\", \"bbox\": [283, 137, 304, 147]}, {\"cell\": \"38.1%\", \"bbox\": [353, 137, 374, 147]}, {\"cell\": \".346\", \"bbox\": [459, 137, 474, 147]}, {\"cell\": \" Central nervous system (c69-72)\", \"bbox\": [8, 151, 113, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 151, 184, 161]}, {\"cell\": \"92.6%\", \"bbox\": [208, 151, 229, 161]}, {\"cell\": \"52.9%\", \"bbox\": [283, 151, 304, 161]}, {\"cell\": \"0.00%\", \"bbox\": [353, 151, 374, 161]}, {\"cell\": \"< .05\", \"bbox\": [459, 151, 477, 161]}, {\"cell\": \" Lymph nodes (c27)\", \"bbox\": [8, 165, 72, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 165, 184, 175]}, {\"cell\": \"83.9%\", \"bbox\": [208, 165, 229, 175]}, {\"cell\": \"63.0%\", \"bbox\": [283, 165, 304, 175]}, {\"cell\": \"100.0%\", \"bbox\": [353, 165, 377, 175]}, {\"cell\": \".836\", \"bbox\": [459, 165, 474, 175]}, {\"cell\": \" Skin (c44)\", \"bbox\": [8, 179, 41, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 179, 184, 189]}, {\"cell\": \"90.6%\", \"bbox\": [208, 179, 229, 189]}, {\"cell\": \"91.0%\", \"bbox\": [283, 179, 304, 189]}, {\"cell\": \"100.0%\", \"bbox\": [353, 179, 377, 189]}, {\"cell\": \".692\", \"bbox\": [459, 179, 474, 189]}, {\"cell\": \" All other EMP sites(c48,50,53,56,67,68,73,74)\", \"bbox\": [8, 193, 148, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 193, 184, 203]}, {\"cell\": \"64.4%\", \"bbox\": [208, 193, 229, 203]}, {\"cell\": \"62.3%\", \"bbox\": [283, 193, 304, 203]}, {\"cell\": \"28.6%\", \"bbox\": [353, 193, 374, 203]}, {\"cell\": \".004\", \"bbox\": [459, 193, 474, 203]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5216567_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}355{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Number</b></td><td><b>Odds Ratio (95% CI) for AF/AFl in 1 Parent</b></td><td><b>Odds Ratio (95% CI) for AF/AFl in Both Parents</b></td></tr></thead><tbody><tr><td>Excluding CHD</td><td>25 592</td><td>2.01 (1.95 to 2.07)</td><td>[EMPTY_CELL]</td></tr><tr><td>Excluding HF</td><td>29 035</td><td>1.97 (1.92 to 2.03)</td><td>[EMPTY_CELL]</td></tr><tr><td>Born in Sweden</td><td>32 117</td><td>1.94 (1.89 to 1.99)</td><td>[EMPTY_CELL]</td></tr><tr><td>Born outside Sweden</td><td>347</td><td>2.94 (2.25 to 3.84)</td><td>[EMPTY_CELL]</td></tr><tr><td>Low level of education</td><td>8874</td><td>1.73 (1.64 to 1.83)</td><td>[EMPTY_CELL]</td></tr><tr><td>Middle level of education</td><td>14 526</td><td>2.00 (1.92 to 2.08)</td><td>[EMPTY_CELL]</td></tr><tr><td>High level of education</td><td>9064</td><td>2.06 (1.96 to 2.17)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Odds Ratio (95% CI) for AF/AFl in Mothers</td><td>[EMPTY_CELL]</td></tr><tr><td>All cases</td><td>32 464</td><td>2.02 (1.95 to 2.09)</td><td>[EMPTY_CELL]</td></tr><tr><td>Males</td><td>23 875</td><td>2.01 (1.94 to 2.09)</td><td>[EMPTY_CELL]</td></tr><tr><td>Females</td><td>8589</td><td>2.04 (1.91 to 2.17)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number</b>\", \"bbox\": [134, 7, 158, 16]}, {\"cell\": \"<b>Odds Ratio (95% CI) for AF/AFl in 1 Parent</b>\", \"bbox\": [204, 7, 329, 16]}, {\"cell\": \"<b>Odds Ratio (95% CI) for AF/AFl in Both Parents</b>\", \"bbox\": [374, 7, 511, 16]}, {\"cell\": \"Excluding CHD\", \"bbox\": [7, 21, 55, 30]}, {\"cell\": \"25 592\", \"bbox\": [134, 21, 159, 30]}, {\"cell\": \"2.01 (1.95 to 2.07)\", \"bbox\": [204, 21, 267, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 21, 437, 30]}, {\"cell\": \"Excluding HF\", \"bbox\": [7, 36, 50, 45]}, {\"cell\": \"29 035\", \"bbox\": [134, 36, 159, 45]}, {\"cell\": \"1.97 (1.92 to 2.03)\", \"bbox\": [204, 36, 267, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 36, 437, 45]}, {\"cell\": \"Born in Sweden\", \"bbox\": [7, 50, 60, 60]}, {\"cell\": \"32 117\", \"bbox\": [134, 50, 159, 60]}, {\"cell\": \"1.94 (1.89 to 1.99)\", \"bbox\": [204, 50, 267, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 50, 437, 60]}, {\"cell\": \"Born outside Sweden\", \"bbox\": [7, 65, 77, 75]}, {\"cell\": \"347\", \"bbox\": [134, 65, 148, 75]}, {\"cell\": \"2.94 (2.25 to 3.84)\", \"bbox\": [204, 65, 267, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 65, 437, 75]}, {\"cell\": \"Low level of education\", \"bbox\": [7, 80, 81, 90]}, {\"cell\": \"8874\", \"bbox\": [134, 80, 152, 90]}, {\"cell\": \"1.73 (1.64 to 1.83)\", \"bbox\": [204, 80, 267, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 80, 437, 90]}, {\"cell\": \"Middle level of education\", \"bbox\": [7, 95, 89, 104]}, {\"cell\": \"14 526\", \"bbox\": [134, 95, 159, 104]}, {\"cell\": \"2.00 (1.92 to 2.08)\", \"bbox\": [204, 95, 267, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 95, 437, 104]}, {\"cell\": \"High level of education\", \"bbox\": [7, 110, 82, 119]}, {\"cell\": \"9064\", \"bbox\": [134, 110, 152, 119]}, {\"cell\": \"2.06 (1.96 to 2.17)\", \"bbox\": [204, 110, 267, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 110, 437, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Odds Ratio (95% CI) for AF/AFl in Mothers\", \"bbox\": [204, 125, 317, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 125, 485, 134]}, {\"cell\": \"All cases\", \"bbox\": [7, 139, 38, 149]}, {\"cell\": \"32 464\", \"bbox\": [134, 139, 159, 149]}, {\"cell\": \"2.02 (1.95 to 2.09)\", \"bbox\": [204, 139, 267, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 139, 437, 149]}, {\"cell\": \"Males\", \"bbox\": [7, 154, 28, 164]}, {\"cell\": \"23 875\", \"bbox\": [134, 154, 159, 164]}, {\"cell\": \"2.01 (1.94 to 2.09)\", \"bbox\": [204, 154, 267, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 154, 437, 164]}, {\"cell\": \"Females\", \"bbox\": [7, 169, 35, 179]}, {\"cell\": \"8589\", \"bbox\": [134, 169, 152, 179]}, {\"cell\": \"2.04 (1.91 to 2.17)\", \"bbox\": [204, 169, 267, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 169, 437, 179]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3603261_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}356{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Group 1</b></td><td><b>Group 2</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td><b>Age (years)</b></td><td>[EMPTY_CELL]</td><td>68 ± 9</td><td>ns</td></tr><tr><td><b>Hypertension (%)</b></td><td>[EMPTY_CELL]</td><td>73</td><td>ns</td></tr><tr><td><b>IVS thickness (mm)</b></td><td>[EMPTY_CELL]</td><td>9.8 ± .3</td><td><0.01</td></tr><tr><td><b>PW thickness (mm)</b></td><td>[EMPTY_CELL]</td><td>8.7 ± .1</td><td>ns</td></tr><tr><td><b>Septal hypertrophy (%)</b></td><td>[EMPTY_CELL]</td><td>7</td><td><0.01</td></tr><tr><td><b>BPs basal (mmHg)</b></td><td>[EMPTY_CELL]</td><td>129 ± 27</td><td>ns</td></tr><tr><td><b>BPd basal (mmHg)</b></td><td>[EMPTY_CELL]</td><td>69 ± 14</td><td>ns</td></tr><tr><td><b>HR basal (b/min)</b></td><td>[EMPTY_CELL]</td><td>66 ± 12</td><td>ns</td></tr><tr><td><b>HR dobutamine (b/min)</b></td><td>[EMPTY_CELL]</td><td>108 ± 18</td><td>ns</td></tr><tr><td><b>LVEDV basal (ml)</b></td><td>[EMPTY_CELL]</td><td>99 ± 28</td><td>ns</td></tr><tr><td><b>LVEDV dobutamine (ml)</b></td><td>[EMPTY_CELL]</td><td>72 ± 32</td><td>ns</td></tr><tr><td><b>LVESV basal (ml)</b></td><td>[EMPTY_CELL]</td><td>48 ± 14</td><td>ns</td></tr><tr><td><b>LVESV dobutamine (ml)</b></td><td>[EMPTY_CELL]</td><td>40 ± 24</td><td>ns</td></tr><tr><td><b>LVEF basal (%)</b></td><td>[EMPTY_CELL]</td><td>48 ± 14</td><td>ns</td></tr><tr><td><b>LVEF dobutamine (%)</b></td><td>[EMPTY_CELL]</td><td>67 ± 7</td><td>ns</td></tr><tr><td><b>WMSI basal</b></td><td>[EMPTY_CELL]</td><td>1.29 ± .4</td><td>ns</td></tr><tr><td><b>WMSI dobutamine</b></td><td>[EMPTY_CELL]</td><td>1.08 ± .4</td><td><0.01</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Group 1</b>\", \"bbox\": [131, 3, 162, 13]}, {\"cell\": \"<b>Group 2</b>\", \"bbox\": [251, 3, 282, 13]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [372, 3, 401, 13]}, {\"cell\": \"<b>Age (years)</b>\", \"bbox\": [11, 31, 52, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 31, 153, 41]}, {\"cell\": \"68 ± 9\", \"bbox\": [251, 31, 274, 41]}, {\"cell\": \"ns\", \"bbox\": [372, 31, 381, 41]}, {\"cell\": \"<b>Hypertension (%)</b>\", \"bbox\": [11, 45, 75, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 45, 141, 55]}, {\"cell\": \"73\", \"bbox\": [251, 45, 262, 55]}, {\"cell\": \"ns\", \"bbox\": [372, 45, 382, 55]}, {\"cell\": \"<b>IVS thickness (mm)</b>\", \"bbox\": [11, 59, 80, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 59, 161, 69]}, {\"cell\": \"9.8 ± .3\", \"bbox\": [251, 59, 277, 69]}, {\"cell\": \"<0.01\", \"bbox\": [372, 59, 393, 69]}, {\"cell\": \"<b>PW thickness (mm)</b>\", \"bbox\": [11, 73, 80, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 73, 157, 83]}, {\"cell\": \"8.7 ± .1\", \"bbox\": [251, 73, 277, 83]}, {\"cell\": \"ns\", \"bbox\": [372, 73, 381, 83]}, {\"cell\": \"<b>Septal hypertrophy (%)</b>\", \"bbox\": [11, 87, 96, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 87, 141, 97]}, {\"cell\": \"7\", \"bbox\": [251, 87, 258, 97]}, {\"cell\": \"<0.01\", \"bbox\": [372, 87, 393, 97]}, {\"cell\": \"<b>BPs basal (mmHg)</b>\", \"bbox\": [11, 101, 77, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 101, 162, 111]}, {\"cell\": \"129 ± 27\", \"bbox\": [251, 101, 282, 111]}, {\"cell\": \"ns\", \"bbox\": [372, 101, 381, 111]}, {\"cell\": \"<b>BPd basal (mmHg)</b>\", \"bbox\": [11, 115, 78, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 115, 158, 125]}, {\"cell\": \"69 ± 14\", \"bbox\": [251, 115, 278, 125]}, {\"cell\": \"ns\", \"bbox\": [372, 115, 382, 125]}, {\"cell\": \"<b>HR basal (b/min)</b>\", \"bbox\": [11, 129, 71, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 129, 153, 139]}, {\"cell\": \"66 ± 12\", \"bbox\": [251, 129, 278, 139]}, {\"cell\": \"ns\", \"bbox\": [372, 129, 381, 139]}, {\"cell\": \"<b>HR dobutamine (b/min)</b>\", \"bbox\": [11, 143, 96, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 143, 162, 153]}, {\"cell\": \"108 ± 18\", \"bbox\": [251, 143, 282, 153]}, {\"cell\": \"ns\", \"bbox\": [372, 143, 381, 153]}, {\"cell\": \"<b>LVEDV basal (ml)</b>\", \"bbox\": [11, 157, 73, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 157, 158, 167]}, {\"cell\": \"99 ± 28\", \"bbox\": [251, 157, 278, 167]}, {\"cell\": \"ns\", \"bbox\": [372, 157, 382, 167]}, {\"cell\": \"<b>LVEDV dobutamine (ml)</b>\", \"bbox\": [11, 171, 98, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 171, 158, 181]}, {\"cell\": \"72 ± 32\", \"bbox\": [251, 171, 278, 181]}, {\"cell\": \"ns\", \"bbox\": [372, 171, 382, 181]}, {\"cell\": \"<b>LVESV basal (ml)</b>\", \"bbox\": [11, 185, 72, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 185, 158, 195]}, {\"cell\": \"48 ± 14\", \"bbox\": [251, 185, 278, 195]}, {\"cell\": \"ns\", \"bbox\": [372, 185, 382, 195]}, {\"cell\": \"<b>LVESV dobutamine (ml)</b>\", \"bbox\": [11, 199, 97, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 199, 158, 209]}, {\"cell\": \"40 ± 24\", \"bbox\": [251, 199, 278, 209]}, {\"cell\": \"ns\", \"bbox\": [372, 199, 382, 209]}, {\"cell\": \"<b>LVEF basal (%)</b>\", \"bbox\": [11, 213, 64, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 213, 153, 223]}, {\"cell\": \"48 ± 14\", \"bbox\": [251, 213, 278, 223]}, {\"cell\": \"ns\", \"bbox\": [372, 213, 381, 223]}, {\"cell\": \"<b>LVEF dobutamine (%)</b>\", \"bbox\": [11, 227, 89, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 227, 158, 237]}, {\"cell\": \"67 ± 7\", \"bbox\": [251, 227, 274, 237]}, {\"cell\": \"ns\", \"bbox\": [372, 227, 382, 237]}, {\"cell\": \"<b>WMSI basal</b>\", \"bbox\": [11, 241, 54, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 241, 161, 251]}, {\"cell\": \"1.29 ± .4\", \"bbox\": [251, 241, 281, 251]}, {\"cell\": \"ns\", \"bbox\": [372, 241, 382, 251]}, {\"cell\": \"<b>WMSI dobutamine</b>\", \"bbox\": [11, 255, 79, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 255, 161, 265]}, {\"cell\": \"1.08 ± .4\", \"bbox\": [251, 255, 281, 265]}, {\"cell\": \"<0.01\", \"bbox\": [372, 255, 393, 265]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2873238_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}357{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Control (<i>n</i> = 28)</b></td><td><b>Patients (<i>n</i> = 60)</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>Hb (g/L)</td><td>14.8 ± 2.63</td><td>11.38 ± 3.29</td><td>[EMPTY_CELL]</td></tr><tr><td>WBC (×10<sup>9</sup>/L)</td><td>6.532 ± 2.4 </td><td>88.93 ± 18.21</td><td>[EMPTY_CELL]</td></tr><tr><td>Platelet count (×10<sup>9</sup>/L)</td><td>338.68 ± 84.39</td><td>101.48 ± 22.57</td><td>[EMPTY_CELL]</td></tr><tr><td>Plateletcrit (%)</td><td>0.24 ± 0.06 </td><td>0.17 ± 0.04 </td><td>[EMPTY_CELL]</td></tr><tr><td>MPV (fL)</td><td>8.4 ± 3.55</td><td>14.84 ± 4.94</td><td>[EMPTY_CELL]</td></tr><tr><td>RDW (%) </td><td>12.72 ± 2.52</td><td>11.43 ± 2.99</td><td>[EMPTY_CELL]</td></tr><tr><td>RDWCV (%)</td><td>15.44 ± 1.78</td><td>16.44 ± 2.56</td><td>[EMPTY_CELL]</td></tr><tr><td>MCH (pg/cell)</td><td>29.53 ± 2.64</td><td>22.8 ± 3.11</td><td>[EMPTY_CELL]</td></tr><tr><td>MCV (fL)</td><td>88.31 ± 18.27</td><td>86.29 ± 18.39</td><td>[EMPTY_CELL]</td></tr><tr><td>MCHC (g/dL)</td><td>35.36 ± 1.59</td><td>29.86 ± 2.75</td><td>[EMPTY_CELL]</td></tr><tr><td>P53 (ng/mL)</td><td>0.142 ± 0.11</td><td>2.135 ± 1.44</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [37, 5, 77, 14]}, {\"cell\": \"<b>Control (<i>n</i> = 28)</b>\", \"bbox\": [124, 5, 189, 16]}, {\"cell\": \"<b>Patients (<i>n</i> = 60)</b>\", \"bbox\": [208, 5, 275, 16]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [306, 7, 313, 16]}, {\"cell\": \"Hb (g/L)\", \"bbox\": [38, 21, 76, 32]}, {\"cell\": \"14.8 ± 2.63\", \"bbox\": [134, 21, 179, 32]}, {\"cell\": \"11.38 ± 3.29\", \"bbox\": [217, 21, 267, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 21, 318, 32]}, {\"cell\": \"WBC (×10<sup>9</sup>/L)\", \"bbox\": [26, 30, 88, 43]}, {\"cell\": \"6.532 ± 2.4 \", \"bbox\": [134, 32, 179, 43]}, {\"cell\": \"88.93 ± 18.21\", \"bbox\": [215, 32, 269, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 32, 325, 43]}, {\"cell\": \"Platelet count (×10<sup>9</sup>/L)\", \"bbox\": [9, 42, 105, 55]}, {\"cell\": \"338.68 ± 84.39\", \"bbox\": [127, 43, 186, 54]}, {\"cell\": \"101.48 ± 22.57\", \"bbox\": [212, 43, 271, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 43, 325, 54]}, {\"cell\": \"Plateletcrit (%)\", \"bbox\": [27, 54, 87, 65]}, {\"cell\": \"0.24 ± 0.06 \", \"bbox\": [134, 54, 179, 65]}, {\"cell\": \"0.17 ± 0.04 \", \"bbox\": [219, 54, 265, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 54, 325, 65]}, {\"cell\": \"MPV (fL)\", \"bbox\": [37, 65, 76, 76]}, {\"cell\": \"8.4 ± 3.55\", \"bbox\": [136, 65, 177, 76]}, {\"cell\": \"14.84 ± 4.94\", \"bbox\": [217, 65, 267, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 65, 318, 76]}, {\"cell\": \"RDW (%) \", \"bbox\": [37, 76, 77, 87]}, {\"cell\": \"12.72 ± 2.52\", \"bbox\": [132, 76, 181, 87]}, {\"cell\": \"11.43 ± 2.99\", \"bbox\": [217, 76, 267, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 76, 318, 87]}, {\"cell\": \"RDWCV (%)\", \"bbox\": [31, 87, 83, 98]}, {\"cell\": \"15.44 ± 1.78\", \"bbox\": [132, 87, 181, 98]}, {\"cell\": \"16.44 ± 2.56\", \"bbox\": [217, 87, 267, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 87, 321, 98]}, {\"cell\": \"MCH (pg/cell)\", \"bbox\": [26, 98, 88, 109]}, {\"cell\": \"29.53 ± 2.64\", \"bbox\": [132, 98, 181, 109]}, {\"cell\": \"22.8 ± 3.11\", \"bbox\": [219, 98, 265, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 98, 318, 109]}, {\"cell\": \"MCV (fL)\", \"bbox\": [37, 109, 77, 121]}, {\"cell\": \"88.31 ± 18.27\", \"bbox\": [129, 109, 184, 121]}, {\"cell\": \"86.29 ± 18.39\", \"bbox\": [215, 109, 269, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 109, 318, 121]}, {\"cell\": \"MCHC (g/dL)\", \"bbox\": [27, 120, 87, 132]}, {\"cell\": \"35.36 ± 1.59\", \"bbox\": [132, 120, 181, 132]}, {\"cell\": \"29.86 ± 2.75\", \"bbox\": [217, 120, 267, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 120, 325, 132]}, {\"cell\": \"P53 (ng/mL)\", \"bbox\": [30, 131, 84, 143]}, {\"cell\": \"0.142 ± 0.11\", \"bbox\": [132, 131, 181, 143]}, {\"cell\": \"2.135 ± 1.44\", \"bbox\": [217, 131, 267, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 131, 325, 143]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5871959_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}358{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variable</b></td><td rowspan=\\\"2\\\"><b>Description</b></td><td><b>HPV(+)</b></td><td><b>HPV(−)</b></td><td rowspan=\\\"2\\\"><b><i>p</i>-value</b></td><td rowspan=\\\"2\\\"><b>Test<sup>≠</sup></b></td></tr><tr><td><b>(n=10)</b></td><td><b>(n=13)</b></td></tr></thead><tbody><tr><td>Gender</td><td>% Male</td><td>90.00</td><td>76.92</td><td>6.04E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>Age</td><td>Mean</td><td>56.90 ± 8.66</td><td>63.77 ± 15.85</td><td>2.32E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>Collection site</td><td>Liverpool</td><td>1</td><td>0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Poole</td><td>2</td><td>6</td><td>2.81E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Southampton</td><td>7</td><td>7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Sequencing Batch</td><td>1</td><td>3</td><td>6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>7</td><td>5</td><td>3.92E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>0</td><td>2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>RIN<sup>*</sup></td><td>Mean</td><td>8.51 ± 0.80</td><td>8.51 ± 1.01</td><td>7.56E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>Smoking</td><td>Non smoker</td><td>10</td><td>6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Smoker</td><td>0</td><td>4</td><td>2.56E-02</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Heavy smoker</td><td>0</td><td>3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Alcohol</td><td>Non drinker</td><td>5</td><td>3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Moderate drinker</td><td>4</td><td>9</td><td>4.02E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Heavy drinker</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Tumor site</td><td>Larynx</td><td>0</td><td>4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Oral</td><td>0</td><td>5</td><td>1.60E-03</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Oropharynx</td><td>10</td><td>4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>White blood cells</td><td>Mean</td><td>9.47 ± 2.23</td><td>8.52 ± 1.92</td><td>2.86E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>Lymphocytes</td><td>Mean</td><td>1.82 ± 0.60</td><td>1.77 ± 0.81</td><td>5.76E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>Staging</td><td>I</td><td>0</td><td>3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>II</td><td>1</td><td>0</td><td>3.48E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>III</td><td>2</td><td>3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>IV</td><td>7</td><td>7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TIL status</td><td>High</td><td>8</td><td>4</td><td>3.61E-02</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Medium</td><td>2</td><td>9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Pattern of invasion</td><td>Cohesive</td><td>10</td><td>6</td><td>7.49E-03</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Discohesive</td><td>0</td><td>7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Differentiation</td><td>Poor</td><td>9</td><td>2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Moderate</td><td>1</td><td>9</td><td>8.85E-04</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Well</td><td>0</td><td>2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Smooth muscle actin</td><td>Low</td><td>10</td><td>9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Moderate</td><td>0</td><td>2</td><td>2.37E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>0</td><td>2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Tumor cell</td><td>%</td><td>68.00 ± 20.58</td><td>65.38 ± 21.06</td><td>7.69E-01</td><td>[EMPTY_CELL]</td></tr><tr><td>E6 expression</td><td>Mean</td><td>4.57 ± 1.11</td><td>−4.36 ± 0.57</td><td>1.75E-06</td><td>[EMPTY_CELL]</td></tr><tr><td>E7 expression</td><td>Mean</td><td>5.07 ± 1.30</td><td>−4.36 ± 0.57</td><td>1.75E-06</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [4, 6, 35, 15]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [172, 6, 213, 15]}, {\"cell\": \"<b>HPV(+)</b>\", \"bbox\": [260, 6, 289, 15]}, {\"cell\": \"<b>HPV(−)</b>\", \"bbox\": [333, 3, 362, 15]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [398, 6, 425, 15]}, {\"cell\": \"<b>Test<sup>≠</sup></b>\", \"bbox\": [460, 3, 479, 15]}, {\"cell\": \"<b>(n=10)</b>\", \"bbox\": [262, 21, 287, 30]}, {\"cell\": \"<b>(n=13)</b>\", \"bbox\": [336, 21, 360, 30]}, {\"cell\": \"Gender\", \"bbox\": [4, 37, 29, 46]}, {\"cell\": \"% Male\", \"bbox\": [179, 37, 206, 46]}, {\"cell\": \"90.00\", \"bbox\": [265, 37, 285, 46]}, {\"cell\": \"76.92\", \"bbox\": [338, 37, 358, 46]}, {\"cell\": \"6.04E-01\", \"bbox\": [396, 37, 428, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 37, 472, 45]}, {\"cell\": \"Age\", \"bbox\": [4, 53, 19, 62]}, {\"cell\": \"Mean\", \"bbox\": [182, 53, 203, 62]}, {\"cell\": \"56.90 ± 8.66\", \"bbox\": [253, 53, 296, 62]}, {\"cell\": \"63.77 ± 15.85\", \"bbox\": [325, 53, 371, 62]}, {\"cell\": \"2.32E-01\", \"bbox\": [396, 53, 428, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 53, 472, 60]}, {\"cell\": \"Collection site\", \"bbox\": [4, 68, 52, 77]}, {\"cell\": \"Liverpool\", \"bbox\": [176, 68, 209, 77]}, {\"cell\": \"1\", \"bbox\": [272, 68, 278, 77]}, {\"cell\": \"0\", \"bbox\": [345, 68, 351, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Poole\", \"bbox\": [182, 84, 203, 93]}, {\"cell\": \"2\", \"bbox\": [272, 84, 278, 93]}, {\"cell\": \"6\", \"bbox\": [345, 84, 351, 93]}, {\"cell\": \"2.81E-01\", \"bbox\": [396, 84, 428, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 84, 472, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Southampton\", \"bbox\": [170, 99, 215, 109]}, {\"cell\": \"7\", \"bbox\": [272, 99, 278, 109]}, {\"cell\": \"7\", \"bbox\": [345, 99, 351, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sequencing Batch\", \"bbox\": [4, 115, 63, 124]}, {\"cell\": \"1\", \"bbox\": [190, 115, 196, 124]}, {\"cell\": \"3\", \"bbox\": [272, 115, 278, 124]}, {\"cell\": \"6\", \"bbox\": [345, 115, 351, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [190, 130, 196, 140]}, {\"cell\": \"7\", \"bbox\": [272, 130, 278, 140]}, {\"cell\": \"5\", \"bbox\": [345, 130, 351, 140]}, {\"cell\": \"3.92E-01\", \"bbox\": [396, 130, 428, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 130, 472, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [190, 146, 196, 155]}, {\"cell\": \"0\", \"bbox\": [272, 146, 278, 155]}, {\"cell\": \"2\", \"bbox\": [345, 146, 351, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RIN<sup>*</sup>\", \"bbox\": [4, 161, 22, 171]}, {\"cell\": \"Mean\", \"bbox\": [182, 161, 203, 171]}, {\"cell\": \"8.51 ± 0.80\", \"bbox\": [255, 161, 294, 171]}, {\"cell\": \"8.51 ± 1.01\", \"bbox\": [329, 161, 367, 171]}, {\"cell\": \"7.56E-01\", \"bbox\": [396, 161, 428, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 161, 472, 169]}, {\"cell\": \"Smoking\", \"bbox\": [4, 177, 34, 186]}, {\"cell\": \"Non smoker\", \"bbox\": [172, 177, 213, 186]}, {\"cell\": \"10\", \"bbox\": [270, 177, 280, 186]}, {\"cell\": \"6\", \"bbox\": [345, 177, 351, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smoker\", \"bbox\": [179, 193, 206, 202]}, {\"cell\": \"0\", \"bbox\": [272, 193, 278, 202]}, {\"cell\": \"4\", \"bbox\": [345, 193, 351, 202]}, {\"cell\": \"2.56E-02\", \"bbox\": [396, 193, 428, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 193, 472, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Heavy smoker\", \"bbox\": [168, 208, 217, 217]}, {\"cell\": \"0\", \"bbox\": [272, 208, 278, 217]}, {\"cell\": \"3\", \"bbox\": [345, 208, 351, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alcohol\", \"bbox\": [4, 224, 31, 233]}, {\"cell\": \"Non drinker\", \"bbox\": [172, 224, 213, 233]}, {\"cell\": \"5\", \"bbox\": [272, 224, 278, 233]}, {\"cell\": \"3\", \"bbox\": [345, 224, 351, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moderate drinker\", \"bbox\": [164, 239, 221, 249]}, {\"cell\": \"4\", \"bbox\": [272, 239, 278, 249]}, {\"cell\": \"9\", \"bbox\": [345, 239, 351, 249]}, {\"cell\": \"4.02E-01\", \"bbox\": [396, 239, 428, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 239, 472, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Heavy drinker\", \"bbox\": [169, 255, 217, 264]}, {\"cell\": \"1\", \"bbox\": [272, 255, 278, 264]}, {\"cell\": \"1\", \"bbox\": [345, 255, 351, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tumor site\", \"bbox\": [4, 270, 40, 280]}, {\"cell\": \"Larynx\", \"bbox\": [180, 270, 205, 280]}, {\"cell\": \"0\", \"bbox\": [272, 270, 278, 280]}, {\"cell\": \"4\", \"bbox\": [345, 270, 351, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Oral\", \"bbox\": [184, 286, 201, 295]}, {\"cell\": \"0\", \"bbox\": [272, 286, 278, 295]}, {\"cell\": \"5\", \"bbox\": [345, 286, 351, 295]}, {\"cell\": \"1.60E-03\", \"bbox\": [396, 286, 428, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 286, 472, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Oropharynx\", \"bbox\": [172, 301, 213, 311]}, {\"cell\": \"10\", \"bbox\": [270, 301, 280, 311]}, {\"cell\": \"4\", \"bbox\": [345, 301, 351, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"White blood cells\", \"bbox\": [4, 314, 62, 327]}, {\"cell\": \"Mean\", \"bbox\": [182, 317, 203, 326]}, {\"cell\": \"9.47 ± 2.23\", \"bbox\": [255, 317, 294, 326]}, {\"cell\": \"8.52 ± 1.92\", \"bbox\": [329, 317, 367, 326]}, {\"cell\": \"2.86E-01\", \"bbox\": [396, 317, 428, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 317, 472, 325]}, {\"cell\": \"Lymphocytes\", \"bbox\": [4, 333, 49, 342]}, {\"cell\": \"Mean\", \"bbox\": [182, 333, 203, 342]}, {\"cell\": \"1.82 ± 0.60\", \"bbox\": [255, 333, 294, 342]}, {\"cell\": \"1.77 ± 0.81\", \"bbox\": [329, 333, 367, 342]}, {\"cell\": \"5.76E-01\", \"bbox\": [396, 333, 428, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 333, 472, 340]}, {\"cell\": \"Staging\", \"bbox\": [4, 348, 30, 357]}, {\"cell\": \"I\", \"bbox\": [190, 348, 195, 357]}, {\"cell\": \"0\", \"bbox\": [272, 348, 278, 357]}, {\"cell\": \"3\", \"bbox\": [345, 348, 351, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [189, 364, 196, 373]}, {\"cell\": \"1\", \"bbox\": [272, 364, 278, 373]}, {\"cell\": \"0\", \"bbox\": [345, 364, 351, 373]}, {\"cell\": \"3.48E-01\", \"bbox\": [396, 364, 428, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 364, 472, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [188, 379, 198, 388]}, {\"cell\": \"2\", \"bbox\": [272, 379, 278, 388]}, {\"cell\": \"3\", \"bbox\": [345, 379, 351, 388]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IV\", \"bbox\": [187, 395, 198, 404]}, {\"cell\": \"7\", \"bbox\": [272, 395, 278, 404]}, {\"cell\": \"7\", \"bbox\": [345, 395, 351, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TIL status\", \"bbox\": [4, 410, 38, 420]}, {\"cell\": \"High\", \"bbox\": [184, 410, 202, 420]}, {\"cell\": \"8\", \"bbox\": [272, 410, 278, 420]}, {\"cell\": \"4\", \"bbox\": [345, 410, 351, 420]}, {\"cell\": \"3.61E-02\", \"bbox\": [396, 410, 428, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 410, 472, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medium\", \"bbox\": [178, 426, 207, 435]}, {\"cell\": \"2\", \"bbox\": [272, 426, 278, 435]}, {\"cell\": \"9\", \"bbox\": [345, 426, 351, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pattern of invasion\", \"bbox\": [4, 441, 66, 451]}, {\"cell\": \"Cohesive\", \"bbox\": [177, 441, 208, 451]}, {\"cell\": \"10\", \"bbox\": [270, 441, 280, 451]}, {\"cell\": \"6\", \"bbox\": [345, 441, 351, 451]}, {\"cell\": \"7.49E-03\", \"bbox\": [396, 441, 428, 451]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 441, 472, 449]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Discohesive\", \"bbox\": [172, 457, 213, 466]}, {\"cell\": \"0\", \"bbox\": [272, 457, 278, 466]}, {\"cell\": \"7\", \"bbox\": [345, 457, 351, 466]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Differentiation\", \"bbox\": [4, 472, 53, 482]}, {\"cell\": \"Poor\", \"bbox\": [184, 472, 201, 482]}, {\"cell\": \"9\", \"bbox\": [272, 472, 278, 482]}, {\"cell\": \"2\", \"bbox\": [345, 472, 351, 482]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moderate\", \"bbox\": [176, 488, 209, 497]}, {\"cell\": \"1\", \"bbox\": [272, 488, 278, 497]}, {\"cell\": \"9\", \"bbox\": [345, 488, 351, 497]}, {\"cell\": \"8.85E-04\", \"bbox\": [396, 488, 428, 497]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 488, 472, 496]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Well\", \"bbox\": [184, 501, 201, 514]}, {\"cell\": \"0\", \"bbox\": [272, 504, 278, 513]}, {\"cell\": \"2\", \"bbox\": [345, 504, 351, 513]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smooth muscle actin\", \"bbox\": [4, 519, 73, 528]}, {\"cell\": \"Low\", \"bbox\": [184, 519, 201, 528]}, {\"cell\": \"10\", \"bbox\": [270, 519, 280, 528]}, {\"cell\": \"9\", \"bbox\": [345, 519, 351, 528]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moderate\", \"bbox\": [176, 535, 209, 544]}, {\"cell\": \"0\", \"bbox\": [272, 535, 278, 544]}, {\"cell\": \"2\", \"bbox\": [345, 535, 351, 544]}, {\"cell\": \"2.37E-01\", \"bbox\": [396, 535, 428, 544]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 535, 472, 542]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"High\", \"bbox\": [184, 550, 202, 560]}, {\"cell\": \"0\", \"bbox\": [272, 550, 278, 560]}, {\"cell\": \"2\", \"bbox\": [345, 550, 351, 560]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tumor cell\", \"bbox\": [4, 566, 41, 575]}, {\"cell\": \"%\", \"bbox\": [188, 566, 197, 575]}, {\"cell\": \"68.00 ± 20.58\", \"bbox\": [251, 566, 298, 575]}, {\"cell\": \"65.38 ± 21.06\", \"bbox\": [325, 566, 371, 575]}, {\"cell\": \"7.69E-01\", \"bbox\": [396, 566, 428, 575]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 566, 473, 573]}, {\"cell\": \"E6 expression\", \"bbox\": [4, 581, 51, 591]}, {\"cell\": \"Mean\", \"bbox\": [182, 581, 203, 591]}, {\"cell\": \"4.57 ± 1.11\", \"bbox\": [256, 581, 294, 591]}, {\"cell\": \"−4.36 ± 0.57\", \"bbox\": [327, 581, 368, 591]}, {\"cell\": \"1.75E-06\", \"bbox\": [396, 581, 428, 591]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 581, 473, 589]}, {\"cell\": \"E7 expression\", \"bbox\": [4, 598, 51, 607]}, {\"cell\": \"Mean\", \"bbox\": [182, 598, 203, 607]}, {\"cell\": \"5.07 ± 1.30\", \"bbox\": [255, 598, 294, 607]}, {\"cell\": \"−4.36 ± 0.57\", \"bbox\": [327, 598, 368, 607]}, {\"cell\": \"1.75E-06\", \"bbox\": [396, 598, 428, 607]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 598, 473, 605]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5302866_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}359{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Theme</b></td><td><b>Quotations<sup>a</sup></b></td></tr></thead><tbody><tr><td>Perceived risks of APOSTEL VI study</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Theme</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>Quotations<sup>a</sup></b>\", \"bbox\": [87, 2, 126, 13]}, {\"cell\": \"Perceived risks of APOSTEL VI study\", \"bbox\": [1, 17, 59, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [87, 17, 484, 126]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5432995_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}360{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Functional Categories</b></td><td><b>Vulnerable SNP Number</b></td><td><b>HaplotypeNumber</b></td><td><b><i>Monte Carlo</i><i>p</i>-values</b></td></tr></thead><tbody><tr><td>SNPs Introducing Non-Synonymous Mutations</td><td>26</td><td>[EMPTY_CELL]</td><td>0.001*</td></tr><tr><td>SNPs Introducing Synonymous Mutations</td><td>25</td><td>[EMPTY_CELL]</td><td>0.001*</td></tr><tr><td>SNPs Introducing Stop Codon Gain</td><td>0</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td>SNPs Introducing Stop Codon Lost</td><td>0</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td>SNPs Introducing ORF Frame Shift</td><td>0</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td>SNPs Introducing Altered Splicing Junction</td><td>1</td><td>[EMPTY_CELL]</td><td>0.92</td></tr><tr><td>SNPs Introducing Altered TF Binding Sites</td><td>4</td><td>[EMPTY_CELL]</td><td>0.83</td></tr><tr><td>SNPs Introducing Altered miRNA Targets</td><td>2</td><td>[EMPTY_CELL]</td><td>0.28</td></tr><tr><td>SNPs Correlated With Differentially Gene Expression</td><td>24</td><td>[EMPTY_CELL]</td><td>0.42</td></tr><tr><td>SNPs Under Positive Selection</td><td>34</td><td>[EMPTY_CELL]</td><td>0.99</td></tr><tr><td>SNPs Under Negative Selection</td><td>31</td><td>[EMPTY_CELL]</td><td>0.05*</td></tr><tr><td><b>Functional Addiction Susceptibility SNPs</b></td><td>124</td><td>[EMPTY_CELL]</td><td>0.63</td></tr><tr><td><b>All SNPs in The Positive Haplotypes</b></td><td>1907</td><td>[EMPTY_CELL]</td><td>1.00</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Functional Categories</b>\", \"bbox\": [63, 4, 140, 13]}, {\"cell\": \"<b>Vulnerable SNP Number</b>\", \"bbox\": [224, 4, 310, 13]}, {\"cell\": \"<b>HaplotypeNumber</b>\", \"bbox\": [348, 4, 386, 22]}, {\"cell\": \"<b><i>Monte Carlo</i><i>p</i>-values</b>\", \"bbox\": [424, 4, 467, 22]}, {\"cell\": \"SNPs Introducing Non-Synonymous Mutations\", \"bbox\": [26, 26, 177, 36]}, {\"cell\": \"26\", \"bbox\": [262, 26, 272, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 26, 372, 36]}, {\"cell\": \"0.001*\", \"bbox\": [435, 26, 456, 36]}, {\"cell\": \"SNPs Introducing Synonymous Mutations\", \"bbox\": [34, 38, 169, 48]}, {\"cell\": \"25\", \"bbox\": [262, 38, 272, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 38, 372, 48]}, {\"cell\": \"0.001*\", \"bbox\": [435, 38, 456, 48]}, {\"cell\": \"SNPs Introducing Stop Codon Gain\", \"bbox\": [44, 50, 159, 60]}, {\"cell\": \"0\", \"bbox\": [264, 50, 270, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 50, 370, 60]}, {\"cell\": \"1.00\", \"bbox\": [438, 50, 453, 60]}, {\"cell\": \"SNPs Introducing Stop Codon Lost\", \"bbox\": [44, 62, 159, 72]}, {\"cell\": \"0\", \"bbox\": [264, 62, 270, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 62, 370, 72]}, {\"cell\": \"1.00\", \"bbox\": [438, 62, 453, 72]}, {\"cell\": \"SNPs Introducing ORF Frame Shift\", \"bbox\": [46, 74, 158, 83]}, {\"cell\": \"0\", \"bbox\": [264, 74, 270, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 74, 370, 83]}, {\"cell\": \"1.00\", \"bbox\": [438, 74, 453, 83]}, {\"cell\": \"SNPs Introducing Altered Splicing Junction\", \"bbox\": [32, 86, 172, 95]}, {\"cell\": \"1\", \"bbox\": [264, 86, 270, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 86, 370, 95]}, {\"cell\": \"0.92\", \"bbox\": [438, 86, 453, 95]}, {\"cell\": \"SNPs Introducing Altered TF Binding Sites\", \"bbox\": [33, 98, 170, 107]}, {\"cell\": \"4\", \"bbox\": [264, 98, 270, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 98, 370, 107]}, {\"cell\": \"0.83\", \"bbox\": [438, 98, 453, 107]}, {\"cell\": \"SNPs Introducing Altered miRNA Targets\", \"bbox\": [35, 110, 168, 119]}, {\"cell\": \"2\", \"bbox\": [264, 110, 270, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 110, 370, 119]}, {\"cell\": \"0.28\", \"bbox\": [438, 110, 453, 119]}, {\"cell\": \"SNPs Correlated With Differentially Gene Expression\", \"bbox\": [18, 122, 186, 131]}, {\"cell\": \"24\", \"bbox\": [262, 122, 272, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 122, 370, 131]}, {\"cell\": \"0.42\", \"bbox\": [438, 122, 453, 131]}, {\"cell\": \"SNPs Under Positive Selection\", \"bbox\": [52, 134, 151, 143]}, {\"cell\": \"34\", \"bbox\": [262, 134, 272, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 134, 372, 143]}, {\"cell\": \"0.99\", \"bbox\": [438, 134, 453, 143]}, {\"cell\": \"SNPs Under Negative Selection\", \"bbox\": [51, 146, 153, 155]}, {\"cell\": \"31\", \"bbox\": [262, 146, 272, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 146, 372, 155]}, {\"cell\": \"0.05*\", \"bbox\": [437, 146, 455, 155]}, {\"cell\": \"<b>Functional Addiction Susceptibility SNPs</b>\", \"bbox\": [30, 158, 173, 167]}, {\"cell\": \"124\", \"bbox\": [260, 158, 274, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 158, 372, 167]}, {\"cell\": \"0.63\", \"bbox\": [438, 158, 453, 167]}, {\"cell\": \"<b>All SNPs in The Positive Haplotypes</b>\", \"bbox\": [38, 170, 165, 179]}, {\"cell\": \"1907\", \"bbox\": [258, 170, 275, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 170, 374, 179]}, {\"cell\": \"1.00\", \"bbox\": [438, 170, 453, 179]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3215751_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}361{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Measurement</b></td><td><b>Average Concentration (μg/m<sup>3</sup>)</b></td><td><b>Conc. Error (%), TSI DRX vs. Airborne Module </b></td><td><b>Emission Rate (μg/s)</b></td><td><b>Emission Error (%), Calculated Value vs. Field Value</b></td><td><b>Average Concentration (μg/m<sup>3</sup>)</b></td><td><b>Conc. Error (%), TSI DRX vs. Airborne Module</b></td><td><b>Emission Rate (μg/s)</b></td><td><b>Emission Error (%), Calculated Value vs. Field Value</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Test 1</b></td><td colspan=\\\"4\\\"><b>Test 2</b></td></tr></thead><tbody><tr><td><b>TSI DRX</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Raw data</td><td>18.579</td><td>NA</td><td>10,646.214</td><td>47.9</td><td>[EMPTY_CELL]</td><td>NA</td><td>7213.353</td><td>53.1</td></tr><tr><td>10 s Mov. Ave.</td><td>NA *</td><td>NA</td><td>NA *</td><td>NA *</td><td>[EMPTY_CELL]</td><td>NA</td><td>6924.893</td><td>54.9</td></tr><tr><td>15 s Mov. Ave.</td><td>29.165</td><td>NA</td><td>16,712.084</td><td>18.27</td><td>[EMPTY_CELL]</td><td>NA</td><td>6979.260</td><td>54.6</td></tr><tr><td>20 s Mov. Ave.</td><td>32.500</td><td>NA</td><td>18,623.284</td><td>8.93</td><td>[EMPTY_CELL]</td><td>NA</td><td>6793.132</td><td>55.8</td></tr><tr><td>30 s Mov. Ave.</td><td>39.484</td><td>NA</td><td>22,625.078</td><td>10.64</td><td>[EMPTY_CELL]</td><td>NA</td><td>6747.759</td><td>56.1</td></tr><tr><td>60 s Mov. Ave.</td><td>93.055</td><td>NA</td><td>53,322.700</td><td>160.76</td><td>[EMPTY_CELL]</td><td>NA</td><td>7232.394</td><td>52.9</td></tr><tr><td>90 s Mov. Ave.</td><td>104.552</td><td>NA</td><td>59,911.108</td><td>192.98</td><td>[EMPTY_CELL]</td><td>NA</td><td>8024.461</td><td>47.8</td></tr><tr><td><b>Airborne module</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Raw data</td><td>3.201</td><td>82.7</td><td>1834.189</td><td>91.0</td><td>[EMPTY_CELL]</td><td>89.29</td><td>779.523</td><td>94.9</td></tr><tr><td>10 s Mov. Ave. Corr.</td><td>NA *</td><td>NA *</td><td>NA *</td><td>NA *</td><td>[EMPTY_CELL]</td><td>163.39</td><td>18,232.334</td><td>18.5</td></tr><tr><td>15 s Mov. Ave. Corr.</td><td>32.336</td><td>10.9</td><td>18,529.561</td><td>9.4</td><td>[EMPTY_CELL]</td><td>162.2</td><td>18,296.784</td><td>18.9</td></tr><tr><td>20 s Mov. Ave. Corr.</td><td>32.129</td><td>1.1</td><td>18,410.932</td><td>9.8</td><td>[EMPTY_CELL]</td><td>170.7</td><td>18,390.435</td><td>19.6</td></tr><tr><td>30 s Mov. Ave. Corr.</td><td>32.357</td><td>18.8</td><td>18,541.318</td><td>9.3</td><td>[EMPTY_CELL]</td><td>181.7</td><td>19,005.532</td><td>23.5</td></tr><tr><td>60 s Mov. Ave. Corr.</td><td>32.382</td><td>65.2</td><td>18,555.661</td><td>9.3</td><td>[EMPTY_CELL]</td><td>173.1</td><td>19,748.159</td><td>28.4</td></tr><tr><td>90 s Mov. Ave. Corr.</td><td>32.487</td><td>68.9</td><td>18,615.632</td><td>8.9</td><td>[EMPTY_CELL]</td><td>144.7</td><td>19,624.319</td><td>27.6</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Measurement</b>\", \"bbox\": [0, 23, 55, 33]}, {\"cell\": \"<b>Average Concentration (μg/m<sup>3</sup>)</b>\", \"bbox\": [85, 3, 141, 33]}, {\"cell\": \"<b>Conc. Error (%), TSI DRX vs. Airborne Module </b>\", \"bbox\": [149, 3, 218, 33]}, {\"cell\": \"<b>Emission Rate (μg/s)</b>\", \"bbox\": [234, 8, 277, 28]}, {\"cell\": \"<b>Emission Error (%), Calculated Value vs. Field Value</b>\", \"bbox\": [292, 3, 368, 33]}, {\"cell\": \"<b>Average Concentration (μg/m<sup>3</sup>)</b>\", \"bbox\": [379, 3, 436, 33]}, {\"cell\": \"<b>Conc. Error (%), TSI DRX vs. Airborne Module</b>\", \"bbox\": [447, 3, 516, 33]}, {\"cell\": \"<b>Emission Rate (μg/s)</b>\", \"bbox\": [528, 8, 585, 28]}, {\"cell\": \"<b>Emission Error (%), Calculated Value vs. Field Value</b>\", \"bbox\": [597, 3, 673, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Test 1</b>\", \"bbox\": [214, 38, 238, 48]}, {\"cell\": \"<b>Test 2</b>\", \"bbox\": [513, 38, 536, 48]}, {\"cell\": \"<b>TSI DRX</b>\", \"bbox\": [0, 52, 37, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Raw data\", \"bbox\": [0, 67, 37, 76]}, {\"cell\": \"18.579\", \"bbox\": [100, 67, 125, 76]}, {\"cell\": \"NA\", \"bbox\": [176, 67, 192, 76]}, {\"cell\": \"10,646.214\", \"bbox\": [235, 67, 275, 76]}, {\"cell\": \"47.9\", \"bbox\": [321, 67, 338, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 67, 420, 76]}, {\"cell\": \"NA\", \"bbox\": [474, 67, 490, 76]}, {\"cell\": \"7213.353\", \"bbox\": [540, 67, 573, 76]}, {\"cell\": \"53.1\", \"bbox\": [626, 67, 643, 76]}, {\"cell\": \"10 s Mov. Ave.\", \"bbox\": [0, 77, 56, 86]}, {\"cell\": \"NA *\", \"bbox\": [102, 77, 123, 86]}, {\"cell\": \"NA\", \"bbox\": [176, 77, 192, 86]}, {\"cell\": \"NA *\", \"bbox\": [245, 77, 265, 86]}, {\"cell\": \"NA *\", \"bbox\": [319, 77, 340, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 77, 420, 86]}, {\"cell\": \"NA\", \"bbox\": [474, 77, 490, 86]}, {\"cell\": \"6924.893\", \"bbox\": [540, 77, 573, 86]}, {\"cell\": \"54.9\", \"bbox\": [626, 77, 643, 86]}, {\"cell\": \"15 s Mov. Ave.\", \"bbox\": [0, 87, 56, 97]}, {\"cell\": \"29.165\", \"bbox\": [100, 87, 125, 97]}, {\"cell\": \"NA\", \"bbox\": [176, 87, 192, 97]}, {\"cell\": \"16,712.084\", \"bbox\": [235, 87, 275, 97]}, {\"cell\": \"18.27\", \"bbox\": [319, 87, 340, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 87, 420, 97]}, {\"cell\": \"NA\", \"bbox\": [474, 87, 490, 97]}, {\"cell\": \"6979.260\", \"bbox\": [540, 87, 573, 97]}, {\"cell\": \"54.6\", \"bbox\": [626, 87, 643, 97]}, {\"cell\": \"20 s Mov. Ave.\", \"bbox\": [0, 98, 56, 107]}, {\"cell\": \"32.500\", \"bbox\": [100, 98, 125, 107]}, {\"cell\": \"NA\", \"bbox\": [176, 98, 192, 107]}, {\"cell\": \"18,623.284\", \"bbox\": [235, 98, 275, 107]}, {\"cell\": \"8.93\", \"bbox\": [321, 98, 338, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 98, 420, 107]}, {\"cell\": \"NA\", \"bbox\": [474, 98, 490, 107]}, {\"cell\": \"6793.132\", \"bbox\": [540, 98, 573, 107]}, {\"cell\": \"55.8\", \"bbox\": [626, 98, 643, 107]}, {\"cell\": \"30 s Mov. Ave.\", \"bbox\": [0, 108, 56, 117]}, {\"cell\": \"39.484\", \"bbox\": [100, 108, 125, 117]}, {\"cell\": \"NA\", \"bbox\": [176, 108, 192, 117]}, {\"cell\": \"22,625.078\", \"bbox\": [235, 108, 275, 117]}, {\"cell\": \"10.64\", \"bbox\": [319, 108, 340, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 108, 420, 117]}, {\"cell\": \"NA\", \"bbox\": [474, 108, 490, 117]}, {\"cell\": \"6747.759\", \"bbox\": [540, 108, 573, 117]}, {\"cell\": \"56.1\", \"bbox\": [626, 108, 643, 117]}, {\"cell\": \"60 s Mov. Ave.\", \"bbox\": [0, 118, 56, 127]}, {\"cell\": \"93.055\", \"bbox\": [100, 118, 125, 127]}, {\"cell\": \"NA\", \"bbox\": [176, 118, 192, 127]}, {\"cell\": \"53,322.700\", \"bbox\": [235, 118, 275, 127]}, {\"cell\": \"160.76\", \"bbox\": [317, 118, 342, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 118, 420, 127]}, {\"cell\": \"NA\", \"bbox\": [474, 118, 490, 127]}, {\"cell\": \"7232.394\", \"bbox\": [540, 118, 573, 127]}, {\"cell\": \"52.9\", \"bbox\": [626, 118, 643, 127]}, {\"cell\": \"90 s Mov. Ave.\", \"bbox\": [0, 128, 56, 137]}, {\"cell\": \"104.552\", \"bbox\": [98, 128, 127, 137]}, {\"cell\": \"NA\", \"bbox\": [176, 128, 192, 137]}, {\"cell\": \"59,911.108\", \"bbox\": [235, 128, 275, 137]}, {\"cell\": \"192.98\", \"bbox\": [317, 128, 342, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 128, 420, 137]}, {\"cell\": \"NA\", \"bbox\": [474, 128, 490, 137]}, {\"cell\": \"8024.461\", \"bbox\": [540, 128, 573, 137]}, {\"cell\": \"47.8\", \"bbox\": [626, 128, 643, 137]}, {\"cell\": \"<b>Airborne module</b>\", \"bbox\": [0, 143, 69, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Raw data\", \"bbox\": [0, 157, 37, 167]}, {\"cell\": \"3.201\", \"bbox\": [102, 157, 123, 167]}, {\"cell\": \"82.7\", \"bbox\": [176, 157, 192, 167]}, {\"cell\": \"1834.189\", \"bbox\": [238, 157, 272, 167]}, {\"cell\": \"91.0\", \"bbox\": [321, 157, 338, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 157, 418, 167]}, {\"cell\": \"89.29\", \"bbox\": [472, 157, 492, 167]}, {\"cell\": \"779.523\", \"bbox\": [542, 157, 571, 167]}, {\"cell\": \"94.9\", \"bbox\": [626, 157, 643, 167]}, {\"cell\": \"10 s Mov. Ave. Corr.\", \"bbox\": [0, 168, 76, 177]}, {\"cell\": \"NA *\", \"bbox\": [102, 168, 123, 177]}, {\"cell\": \"NA *\", \"bbox\": [174, 168, 194, 177]}, {\"cell\": \"NA *\", \"bbox\": [245, 168, 265, 177]}, {\"cell\": \"NA *\", \"bbox\": [319, 168, 340, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 168, 420, 177]}, {\"cell\": \"163.39\", \"bbox\": [470, 168, 494, 177]}, {\"cell\": \"18,232.334\", \"bbox\": [537, 168, 576, 177]}, {\"cell\": \"18.5\", \"bbox\": [626, 168, 643, 177]}, {\"cell\": \"15 s Mov. Ave. Corr.\", \"bbox\": [0, 178, 76, 187]}, {\"cell\": \"32.336\", \"bbox\": [100, 178, 125, 187]}, {\"cell\": \"10.9\", \"bbox\": [176, 178, 192, 187]}, {\"cell\": \"18,529.561\", \"bbox\": [235, 178, 275, 187]}, {\"cell\": \"9.4\", \"bbox\": [323, 178, 336, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 178, 420, 187]}, {\"cell\": \"162.2\", \"bbox\": [472, 178, 492, 187]}, {\"cell\": \"18,296.784\", \"bbox\": [537, 178, 576, 187]}, {\"cell\": \"18.9\", \"bbox\": [626, 178, 643, 187]}, {\"cell\": \"20 s Mov. Ave. Corr.\", \"bbox\": [0, 188, 76, 197]}, {\"cell\": \"32.129\", \"bbox\": [100, 188, 125, 197]}, {\"cell\": \"1.1\", \"bbox\": [178, 188, 190, 197]}, {\"cell\": \"18,410.932\", \"bbox\": [235, 188, 275, 197]}, {\"cell\": \"9.8\", \"bbox\": [323, 188, 336, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 188, 420, 197]}, {\"cell\": \"170.7\", \"bbox\": [472, 188, 492, 197]}, {\"cell\": \"18,390.435\", \"bbox\": [537, 188, 576, 197]}, {\"cell\": \"19.6\", \"bbox\": [626, 188, 643, 197]}, {\"cell\": \"30 s Mov. Ave. Corr.\", \"bbox\": [0, 198, 76, 208]}, {\"cell\": \"32.357\", \"bbox\": [100, 198, 125, 208]}, {\"cell\": \"18.8\", \"bbox\": [176, 198, 192, 208]}, {\"cell\": \"18,541.318\", \"bbox\": [235, 198, 275, 208]}, {\"cell\": \"9.3\", \"bbox\": [323, 198, 336, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 198, 420, 208]}, {\"cell\": \"181.7\", \"bbox\": [472, 198, 492, 208]}, {\"cell\": \"19,005.532\", \"bbox\": [537, 198, 576, 208]}, {\"cell\": \"23.5\", \"bbox\": [626, 198, 643, 208]}, {\"cell\": \"60 s Mov. Ave. Corr.\", \"bbox\": [0, 208, 76, 218]}, {\"cell\": \"32.382\", \"bbox\": [100, 208, 125, 218]}, {\"cell\": \"65.2\", \"bbox\": [176, 208, 192, 218]}, {\"cell\": \"18,555.661\", \"bbox\": [235, 208, 275, 218]}, {\"cell\": \"9.3\", \"bbox\": [323, 208, 336, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 208, 420, 218]}, {\"cell\": \"173.1\", \"bbox\": [472, 208, 492, 218]}, {\"cell\": \"19,748.159\", \"bbox\": [537, 208, 576, 218]}, {\"cell\": \"28.4\", \"bbox\": [626, 208, 643, 218]}, {\"cell\": \"90 s Mov. Ave. Corr.\", \"bbox\": [0, 219, 76, 228]}, {\"cell\": \"32.487\", \"bbox\": [100, 219, 125, 228]}, {\"cell\": \"68.9\", \"bbox\": [176, 219, 192, 228]}, {\"cell\": \"18,615.632\", \"bbox\": [235, 219, 275, 228]}, {\"cell\": \"8.9\", \"bbox\": [323, 219, 336, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 219, 420, 228]}, {\"cell\": \"144.7\", \"bbox\": [472, 219, 492, 228]}, {\"cell\": \"19,624.319\", \"bbox\": [537, 219, 576, 228]}, {\"cell\": \"27.6\", \"bbox\": [626, 219, 643, 228]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5335937_018_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}362{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>SNP class</b></td><td><b>No. of SNPs</b></td><td colspan=\\\"8\\\"><b>No. of SNPs in category</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>SNP</b></td><td><b>mSNP</b></td><td><b>Indel</b></td><td><b>SNP-SNP</b></td><td><b>Indel-SNP</b></td><td><b>SNP-in-Insertion</b></td><td><b>F1D</b></td><td><b>Codon-based</b></td></tr></thead><tbody><tr><td><b><i>MHR</i></b></td><td>18,958</td><td>9,913</td><td>191</td><td>[EMPTY_CELL]</td><td>737</td><td>286</td><td>1,114</td><td>1,864</td><td>2,395</td></tr><tr><td><b><i>CRBT</i></b></td><td>5,876</td><td>4,248</td><td>0</td><td>[EMPTY_CELL]</td><td>761</td><td>96</td><td>144</td><td>44</td><td>41</td></tr><tr><td><b><i>Other</i></b></td><td>9,755</td><td>6,014</td><td>0</td><td>[EMPTY_CELL]</td><td>1,387</td><td>196</td><td>428</td><td>150</td><td>366</td></tr><tr><td><b><i>NMH</i></b></td><td>36,088</td><td>25,782</td><td>1,050</td><td>[EMPTY_CELL]</td><td>979</td><td>298</td><td>843</td><td>1,498</td><td>2,273</td></tr><tr><td><b><i>OTV</i></b></td><td>1,030</td><td>415</td><td>1</td><td>[EMPTY_CELL]</td><td>126</td><td>21</td><td>11</td><td>38</td><td>312</td></tr><tr><td><b><i>PHR</i></b></td><td>23,355</td><td>16,891</td><td>519</td><td>[EMPTY_CELL]</td><td>3,101</td><td>280</td><td>303</td><td>157</td><td>261</td></tr><tr><td>Reproducibility</td><td>3,263</td><td>2,568</td><td>129</td><td>[EMPTY_CELL]</td><td>182</td><td>17</td><td>39</td><td>55</td><td>73</td></tr><tr><td>AAvarianceY</td><td>491</td><td>339</td><td>10</td><td>[EMPTY_CELL]</td><td>82</td><td>8</td><td>8</td><td>1</td><td>5</td></tr><tr><td>ABvarianceX</td><td>1,775</td><td>1,095</td><td>11</td><td>[EMPTY_CELL]</td><td>328</td><td>32</td><td>32</td><td>18</td><td>38</td></tr><tr><td>ABvarianceY</td><td>3,212</td><td>2,367</td><td>54</td><td>[EMPTY_CELL]</td><td>384</td><td>51</td><td>34</td><td>14</td><td>29</td></tr><tr><td>BBvarianceY</td><td>394</td><td>183</td><td>6</td><td>[EMPTY_CELL]</td><td>144</td><td>7</td><td>5</td><td>2</td><td>4</td></tr><tr><td>nMinorHom</td><td>1,611</td><td>1,153</td><td>87</td><td>[EMPTY_CELL]</td><td>53</td><td>17</td><td>31</td><td>33</td><td>61</td></tr><tr><td><b>Filtered</b><b><i>PHR</i></b></td><td>12,609</td><td>9,186</td><td>222</td><td>[EMPTY_CELL]</td><td>1,928</td><td>148</td><td>154</td><td>34</td><td>51</td></tr><tr><td><b>No of markers on array</b></td><td>95,063</td><td>63,263</td><td>1,761</td><td>[EMPTY_CELL]</td><td>7,092</td><td>1,177</td><td>2,843</td><td>3,751</td><td>5,648</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>SNP class</b>\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"<b>No. of SNPs</b>\", \"bbox\": [95, 4, 137, 13]}, {\"cell\": \"<b>No. of SNPs in category</b>\", \"bbox\": [149, 4, 233, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>SNP</b>\", \"bbox\": [149, 17, 164, 27]}, {\"cell\": \"<b>mSNP</b>\", \"bbox\": [182, 17, 205, 27]}, {\"cell\": \"<b>Indel</b>\", \"bbox\": [216, 17, 236, 27]}, {\"cell\": \"<b>SNP-SNP</b>\", \"bbox\": [247, 17, 279, 27]}, {\"cell\": \"<b>Indel-SNP</b>\", \"bbox\": [290, 17, 326, 27]}, {\"cell\": \"<b>SNP-in-Insertion</b>\", \"bbox\": [337, 17, 395, 27]}, {\"cell\": \"<b>F1D</b>\", \"bbox\": [407, 17, 422, 27]}, {\"cell\": \"<b>Codon-based</b>\", \"bbox\": [437, 17, 484, 27]}, {\"cell\": \"<b><i>MHR</i></b>\", \"bbox\": [1, 30, 18, 38]}, {\"cell\": \"18,958\", \"bbox\": [95, 30, 117, 40]}, {\"cell\": \"9,913\", \"bbox\": [149, 30, 167, 40]}, {\"cell\": \"191\", \"bbox\": [182, 30, 196, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 30, 235, 40]}, {\"cell\": \"737\", \"bbox\": [247, 30, 260, 40]}, {\"cell\": \"286\", \"bbox\": [290, 30, 304, 40]}, {\"cell\": \"1,114\", \"bbox\": [337, 30, 356, 40]}, {\"cell\": \"1,864\", \"bbox\": [407, 30, 425, 40]}, {\"cell\": \"2,395\", \"bbox\": [437, 30, 455, 40]}, {\"cell\": \"<b><i>CRBT</i></b>\", \"bbox\": [1, 44, 20, 52]}, {\"cell\": \"5,876\", \"bbox\": [95, 44, 113, 54]}, {\"cell\": \"4,248\", \"bbox\": [149, 44, 167, 54]}, {\"cell\": \"0\", \"bbox\": [182, 44, 188, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 44, 230, 54]}, {\"cell\": \"761\", \"bbox\": [247, 44, 260, 54]}, {\"cell\": \"96\", \"bbox\": [290, 44, 300, 54]}, {\"cell\": \"144\", \"bbox\": [337, 44, 351, 54]}, {\"cell\": \"44\", \"bbox\": [407, 44, 416, 54]}, {\"cell\": \"41\", \"bbox\": [437, 44, 446, 54]}, {\"cell\": \"<b><i>Other</i></b>\", \"bbox\": [1, 58, 21, 66]}, {\"cell\": \"9,755\", \"bbox\": [95, 58, 113, 68]}, {\"cell\": \"6,014\", \"bbox\": [149, 58, 167, 68]}, {\"cell\": \"0\", \"bbox\": [182, 58, 188, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 58, 235, 68]}, {\"cell\": \"1,387\", \"bbox\": [247, 58, 266, 68]}, {\"cell\": \"196\", \"bbox\": [290, 58, 304, 68]}, {\"cell\": \"428\", \"bbox\": [337, 58, 351, 68]}, {\"cell\": \"150\", \"bbox\": [407, 58, 420, 68]}, {\"cell\": \"366\", \"bbox\": [437, 58, 450, 68]}, {\"cell\": \"<b><i>NMH</i></b>\", \"bbox\": [1, 72, 19, 80]}, {\"cell\": \"36,088\", \"bbox\": [95, 72, 117, 82]}, {\"cell\": \"25,782\", \"bbox\": [149, 72, 171, 82]}, {\"cell\": \"1,050\", \"bbox\": [182, 72, 201, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 72, 235, 82]}, {\"cell\": \"979\", \"bbox\": [247, 72, 260, 82]}, {\"cell\": \"298\", \"bbox\": [290, 72, 304, 82]}, {\"cell\": \"843\", \"bbox\": [337, 72, 351, 82]}, {\"cell\": \"1,498\", \"bbox\": [407, 72, 425, 82]}, {\"cell\": \"2,273\", \"bbox\": [437, 72, 455, 82]}, {\"cell\": \"<b><i>OTV</i></b>\", \"bbox\": [1, 86, 17, 94]}, {\"cell\": \"1,030\", \"bbox\": [95, 86, 113, 96]}, {\"cell\": \"415\", \"bbox\": [149, 86, 162, 96]}, {\"cell\": \"1\", \"bbox\": [182, 86, 188, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 86, 230, 96]}, {\"cell\": \"126\", \"bbox\": [247, 86, 260, 96]}, {\"cell\": \"21\", \"bbox\": [290, 86, 300, 96]}, {\"cell\": \"11\", \"bbox\": [337, 86, 347, 96]}, {\"cell\": \"38\", \"bbox\": [407, 86, 416, 96]}, {\"cell\": \"312\", \"bbox\": [437, 86, 450, 96]}, {\"cell\": \"<b><i>PHR</i></b>\", \"bbox\": [1, 100, 16, 108]}, {\"cell\": \"23,355\", \"bbox\": [95, 100, 117, 110]}, {\"cell\": \"16,891\", \"bbox\": [149, 100, 171, 110]}, {\"cell\": \"519\", \"bbox\": [182, 100, 196, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 100, 235, 110]}, {\"cell\": \"3,101\", \"bbox\": [247, 100, 266, 110]}, {\"cell\": \"280\", \"bbox\": [290, 100, 304, 110]}, {\"cell\": \"303\", \"bbox\": [337, 100, 351, 110]}, {\"cell\": \"157\", \"bbox\": [407, 100, 420, 110]}, {\"cell\": \"261\", \"bbox\": [437, 100, 450, 110]}, {\"cell\": \"Reproducibility\", \"bbox\": [1, 114, 50, 124]}, {\"cell\": \"3,263\", \"bbox\": [95, 114, 113, 124]}, {\"cell\": \"2,568\", \"bbox\": [149, 114, 167, 124]}, {\"cell\": \"129\", \"bbox\": [182, 114, 196, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 114, 230, 124]}, {\"cell\": \"182\", \"bbox\": [247, 114, 260, 124]}, {\"cell\": \"17\", \"bbox\": [290, 114, 300, 124]}, {\"cell\": \"39\", \"bbox\": [337, 114, 347, 124]}, {\"cell\": \"55\", \"bbox\": [407, 114, 416, 124]}, {\"cell\": \"73\", \"bbox\": [437, 114, 446, 124]}, {\"cell\": \"AAvarianceY\", \"bbox\": [1, 128, 42, 138]}, {\"cell\": \"491\", \"bbox\": [95, 128, 108, 138]}, {\"cell\": \"339\", \"bbox\": [149, 128, 162, 138]}, {\"cell\": \"10\", \"bbox\": [182, 128, 192, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 128, 226, 138]}, {\"cell\": \"82\", \"bbox\": [247, 128, 257, 138]}, {\"cell\": \"8\", \"bbox\": [290, 128, 296, 138]}, {\"cell\": \"8\", \"bbox\": [337, 128, 343, 138]}, {\"cell\": \"1\", \"bbox\": [407, 128, 412, 138]}, {\"cell\": \"5\", \"bbox\": [437, 128, 442, 138]}, {\"cell\": \"ABvarianceX\", \"bbox\": [1, 142, 42, 152]}, {\"cell\": \"1,775\", \"bbox\": [95, 142, 113, 152]}, {\"cell\": \"1,095\", \"bbox\": [149, 142, 167, 152]}, {\"cell\": \"11\", \"bbox\": [182, 142, 192, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 142, 230, 152]}, {\"cell\": \"328\", \"bbox\": [247, 142, 260, 152]}, {\"cell\": \"32\", \"bbox\": [290, 142, 300, 152]}, {\"cell\": \"32\", \"bbox\": [337, 142, 347, 152]}, {\"cell\": \"18\", \"bbox\": [407, 142, 416, 152]}, {\"cell\": \"38\", \"bbox\": [437, 142, 446, 152]}, {\"cell\": \"ABvarianceY\", \"bbox\": [1, 156, 41, 166]}, {\"cell\": \"3,212\", \"bbox\": [95, 156, 113, 166]}, {\"cell\": \"2,367\", \"bbox\": [149, 156, 167, 166]}, {\"cell\": \"54\", \"bbox\": [182, 156, 192, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 156, 230, 166]}, {\"cell\": \"384\", \"bbox\": [247, 156, 260, 166]}, {\"cell\": \"51\", \"bbox\": [290, 156, 300, 166]}, {\"cell\": \"34\", \"bbox\": [337, 156, 347, 166]}, {\"cell\": \"14\", \"bbox\": [407, 156, 416, 166]}, {\"cell\": \"29\", \"bbox\": [437, 156, 446, 166]}, {\"cell\": \"BBvarianceY\", \"bbox\": [1, 170, 41, 180]}, {\"cell\": \"394\", \"bbox\": [95, 170, 108, 180]}, {\"cell\": \"183\", \"bbox\": [149, 170, 162, 180]}, {\"cell\": \"6\", \"bbox\": [182, 170, 188, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 170, 226, 180]}, {\"cell\": \"144\", \"bbox\": [247, 170, 260, 180]}, {\"cell\": \"7\", \"bbox\": [290, 170, 296, 180]}, {\"cell\": \"5\", \"bbox\": [337, 170, 343, 180]}, {\"cell\": \"2\", \"bbox\": [407, 170, 412, 180]}, {\"cell\": \"4\", \"bbox\": [437, 170, 442, 180]}, {\"cell\": \"nMinorHom\", \"bbox\": [1, 184, 41, 194]}, {\"cell\": \"1,611\", \"bbox\": [95, 184, 113, 194]}, {\"cell\": \"1,153\", \"bbox\": [149, 184, 167, 194]}, {\"cell\": \"87\", \"bbox\": [182, 184, 192, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 184, 230, 194]}, {\"cell\": \"53\", \"bbox\": [247, 184, 257, 194]}, {\"cell\": \"17\", \"bbox\": [290, 184, 300, 194]}, {\"cell\": \"31\", \"bbox\": [337, 184, 347, 194]}, {\"cell\": \"33\", \"bbox\": [407, 184, 416, 194]}, {\"cell\": \"61\", \"bbox\": [437, 184, 446, 194]}, {\"cell\": \"<b>Filtered</b><b><i>PHR</i></b>\", \"bbox\": [1, 198, 45, 208]}, {\"cell\": \"12,609\", \"bbox\": [95, 198, 117, 208]}, {\"cell\": \"9,186\", \"bbox\": [149, 198, 167, 208]}, {\"cell\": \"222\", \"bbox\": [182, 198, 196, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 198, 230, 208]}, {\"cell\": \"1,928\", \"bbox\": [247, 198, 266, 208]}, {\"cell\": \"148\", \"bbox\": [290, 198, 304, 208]}, {\"cell\": \"154\", \"bbox\": [337, 198, 351, 208]}, {\"cell\": \"34\", \"bbox\": [407, 198, 416, 208]}, {\"cell\": \"51\", \"bbox\": [437, 198, 446, 208]}, {\"cell\": \"<b>No of markers on array</b>\", \"bbox\": [1, 212, 83, 222]}, {\"cell\": \"95,063\", \"bbox\": [95, 212, 117, 222]}, {\"cell\": \"63,263\", \"bbox\": [149, 212, 171, 222]}, {\"cell\": \"1,761\", \"bbox\": [182, 212, 201, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 212, 235, 222]}, {\"cell\": \"7,092\", \"bbox\": [247, 212, 266, 222]}, {\"cell\": \"1,177\", \"bbox\": [290, 212, 309, 222]}, {\"cell\": \"2,843\", \"bbox\": [337, 212, 356, 222]}, {\"cell\": \"3,751\", \"bbox\": [407, 212, 425, 222]}, {\"cell\": \"5,648\", \"bbox\": [437, 212, 455, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4374422_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}363{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Category no.</b></td><td rowspan=\\\"2\\\"><b>Accompaniment in the main meal</b></td><td colspan=\\\"2\\\"><b>CKDu patients</b></td><td colspan=\\\"2\\\"><b>Non-CKDu subjects</b></td><td rowspan=\\\"2\\\"><b>χ<sup>2</sup>(p value)</b></td><td rowspan=\\\"2\\\"><b>Odds ratio (95% CI)</b></td></tr><tr><td><b>No. of meals reported % (N)</b></td><td><b>No. of subjects % (n)</b></td><td><b>No. of meals reported % (N)</b></td><td><b>No. of subjects % (n)</b></td></tr></thead><tbody><tr><td>1</td><td>Animal sources</td><td>35.7 (322)</td><td>97 (97)</td><td>42.1(370)</td><td>88 (88)</td><td>[EMPTY_CELL]</td><td>0.5270.398-0.698</td></tr><tr><td>2</td><td>Fruit vegetables</td><td>33.7 (304)</td><td>97 (97)</td><td>28.3 (249)</td><td>98 (98)</td><td>[EMPTY_CELL]</td><td>0.7390.553-0.989</td></tr><tr><td>3</td><td>Pulses & products</td><td>27.8 (250)</td><td>97 (97)</td><td>28.9 (254)</td><td>95 (95)</td><td>[EMPTY_CELL]</td><td>0.5960.444-0.801</td></tr><tr><td>4</td><td>Starchy vegetables</td><td>21.9 (197)</td><td>88 (88)</td><td>11.3 (99)</td><td>69 (69)</td><td>[EMPTY_CELL]</td><td>1.2050.859-1.691</td></tr><tr><td>5</td><td>Sambol/kirihodi</td><td>21.4 (193)</td><td>89 (89)</td><td>14.4 (127)</td><td>80 (80)</td><td>[EMPTY_CELL]</td><td>0.9200.664-1.276</td></tr><tr><td>6</td><td>Other vegetable accompaniments*</td><td>20.0 (180)</td><td>86 (86)</td><td>12.4 (109)</td><td>78 (78)</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>7</td><td>Green leaves</td><td>16.3 (147)</td><td>83 (83)</td><td>15.8 (139)</td><td>81 (81)</td><td>[EMPTY_CELL]</td><td>0.6400.459-0.893</td></tr><tr><td>8</td><td>Leguminous pods</td><td>10.3 (93)</td><td>63 (63)</td><td>6.4 (56)</td><td>49 (49)</td><td>[EMPTY_CELL]</td><td>1.0060.669-1.512</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Category no.</b>\", \"bbox\": [1, 4, 34, 23]}, {\"cell\": \"<b>Accompaniment in the main meal</b>\", \"bbox\": [43, 4, 110, 23]}, {\"cell\": \"<b>CKDu patients</b>\", \"bbox\": [152, 4, 204, 14]}, {\"cell\": \"<b>Non-CKDu subjects</b>\", \"bbox\": [269, 4, 338, 14]}, {\"cell\": \"<b>χ<sup>2</sup>(p value)</b>\", \"bbox\": [371, 3, 410, 14]}, {\"cell\": \"<b>Odds ratio (95% CI)</b>\", \"bbox\": [430, 4, 469, 23]}, {\"cell\": \"<b>No. of meals reported % (N)</b>\", \"bbox\": [120, 18, 173, 36]}, {\"cell\": \"<b>No. of subjects % (n)</b>\", \"bbox\": [182, 18, 236, 36]}, {\"cell\": \"<b>No. of meals reported % (N)</b>\", \"bbox\": [245, 18, 299, 36]}, {\"cell\": \"<b>No. of subjects % (n)</b>\", \"bbox\": [308, 18, 362, 36]}, {\"cell\": \"1\", \"bbox\": [1, 40, 6, 49]}, {\"cell\": \"Animal sources\", \"bbox\": [43, 40, 94, 49]}, {\"cell\": \"35.7 (322)\", \"bbox\": [120, 40, 152, 49]}, {\"cell\": \"97 (97)\", \"bbox\": [182, 40, 206, 49]}, {\"cell\": \"42.1(370)\", \"bbox\": [245, 40, 276, 49]}, {\"cell\": \"88 (88)\", \"bbox\": [308, 40, 332, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 40, 421, 49]}, {\"cell\": \"0.5270.398-0.698\", \"bbox\": [430, 40, 484, 49]}, {\"cell\": \"2\", \"bbox\": [1, 54, 6, 63]}, {\"cell\": \"Fruit vegetables\", \"bbox\": [43, 54, 96, 63]}, {\"cell\": \"33.7 (304)\", \"bbox\": [120, 54, 152, 63]}, {\"cell\": \"97 (97)\", \"bbox\": [182, 54, 206, 63]}, {\"cell\": \"28.3 (249)\", \"bbox\": [245, 54, 278, 63]}, {\"cell\": \"98 (98)\", \"bbox\": [308, 54, 332, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 54, 413, 63]}, {\"cell\": \"0.7390.553-0.989\", \"bbox\": [430, 54, 484, 63]}, {\"cell\": \"3\", \"bbox\": [1, 68, 6, 77]}, {\"cell\": \"Pulses & products\", \"bbox\": [43, 68, 102, 77]}, {\"cell\": \"27.8 (250)\", \"bbox\": [120, 68, 152, 77]}, {\"cell\": \"97 (97)\", \"bbox\": [182, 68, 206, 77]}, {\"cell\": \"28.9 (254)\", \"bbox\": [245, 68, 278, 77]}, {\"cell\": \"95 (95)\", \"bbox\": [308, 68, 332, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 68, 416, 77]}, {\"cell\": \"0.5960.444-0.801\", \"bbox\": [430, 68, 484, 77]}, {\"cell\": \"4\", \"bbox\": [1, 82, 6, 91]}, {\"cell\": \"Starchy vegetables\", \"bbox\": [43, 82, 105, 91]}, {\"cell\": \"21.9 (197)\", \"bbox\": [120, 82, 152, 91]}, {\"cell\": \"88 (88)\", \"bbox\": [182, 82, 206, 91]}, {\"cell\": \"11.3 (99)\", \"bbox\": [245, 82, 274, 91]}, {\"cell\": \"69 (69)\", \"bbox\": [308, 82, 332, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 82, 413, 91]}, {\"cell\": \"1.2050.859-1.691\", \"bbox\": [430, 82, 484, 91]}, {\"cell\": \"5\", \"bbox\": [1, 96, 6, 105]}, {\"cell\": \"Sambol/kirihodi\", \"bbox\": [43, 96, 95, 105]}, {\"cell\": \"21.4 (193)\", \"bbox\": [120, 96, 152, 105]}, {\"cell\": \"89 (89)\", \"bbox\": [182, 96, 206, 105]}, {\"cell\": \"14.4 (127)\", \"bbox\": [245, 96, 278, 105]}, {\"cell\": \"80 (80)\", \"bbox\": [308, 96, 332, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 96, 413, 105]}, {\"cell\": \"0.9200.664-1.276\", \"bbox\": [430, 96, 484, 105]}, {\"cell\": \"6\", \"bbox\": [1, 110, 6, 119]}, {\"cell\": \"Other vegetable accompaniments*\", \"bbox\": [43, 110, 103, 128]}, {\"cell\": \"20.0 (180)\", \"bbox\": [120, 110, 152, 119]}, {\"cell\": \"86 (86)\", \"bbox\": [182, 110, 206, 119]}, {\"cell\": \"12.4 (109)\", \"bbox\": [245, 110, 278, 119]}, {\"cell\": \"78 (78)\", \"bbox\": [308, 110, 332, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 110, 375, 119]}, {\"cell\": \"-\", \"bbox\": [430, 110, 435, 119]}, {\"cell\": \"7\", \"bbox\": [1, 133, 6, 142]}, {\"cell\": \"Green leaves\", \"bbox\": [43, 133, 86, 142]}, {\"cell\": \"16.3 (147)\", \"bbox\": [120, 133, 152, 142]}, {\"cell\": \"83 (83)\", \"bbox\": [182, 133, 206, 142]}, {\"cell\": \"15.8 (139)\", \"bbox\": [245, 133, 278, 142]}, {\"cell\": \"81 (81)\", \"bbox\": [308, 133, 332, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 133, 413, 142]}, {\"cell\": \"0.6400.459-0.893\", \"bbox\": [430, 133, 484, 142]}, {\"cell\": \"8\", \"bbox\": [1, 147, 6, 156]}, {\"cell\": \"Leguminous pods\", \"bbox\": [43, 147, 103, 156]}, {\"cell\": \"10.3 (93)\", \"bbox\": [120, 147, 149, 156]}, {\"cell\": \"63 (63)\", \"bbox\": [182, 147, 206, 156]}, {\"cell\": \"6.4 (56)\", \"bbox\": [245, 147, 270, 156]}, {\"cell\": \"49 (49)\", \"bbox\": [308, 147, 332, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 147, 413, 156]}, {\"cell\": \"1.0060.669-1.512\", \"bbox\": [430, 147, 484, 156]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4086266_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}364{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Clinical Condition Type</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>Behavioral Problems N (%)</b></td><td>[EMPTY_CELL]</td><td><b>ADHD N (%)</b></td><td><b>Mood Disorders N (%)</b></td></tr><tr><td>Evaluate and manage the problem yourself</td><td>44 (11.1)</td><td>[EMPTY_CELL]</td><td>21 (5.3)</td><td>74 (18.8)</td></tr><tr><td>Evaluate and manage yourself, then refer for consultation</td><td>150 (38.0)</td><td>[EMPTY_CELL]</td><td>103 (26.0)</td><td>171 (43.4)</td></tr><tr><td>Evaluate yourself and then refer out for management</td><td>119 (30.1)</td><td>[EMPTY_CELL]</td><td>106 (26.8)</td><td>72 (18.3)</td></tr><tr><td>Refer out for evaluation and management</td><td>52 (13.2)</td><td>[EMPTY_CELL]</td><td>75 (18.9)</td><td>29 (7.4)</td></tr><tr><td>Refer out for evaluation and then take over management</td><td>25 (6.3)</td><td>[EMPTY_CELL]</td><td>82 (20.7)</td><td>36 (9.1)</td></tr><tr><td>Other combination of options</td><td>5 (1.3)</td><td>[EMPTY_CELL]</td><td>9 (2.3)</td><td>12 (3.0)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Clinical Condition Type</b>\", \"bbox\": [254, 5, 347, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Behavioral Problems N (%)</b>\", \"bbox\": [105, 27, 196, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 27, 285, 46]}, {\"cell\": \"<b>ADHD N (%)</b>\", \"bbox\": [325, 27, 377, 36]}, {\"cell\": \"<b>Mood Disorders N (%)</b>\", \"bbox\": [407, 27, 494, 36]}, {\"cell\": \"Evaluate and manage the problem yourself\", \"bbox\": [14, 58, 98, 77]}, {\"cell\": \"44 (11.1)\", \"bbox\": [135, 58, 167, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 58, 267, 68]}, {\"cell\": \"21 (5.3)\", \"bbox\": [337, 58, 365, 68]}, {\"cell\": \"74 (18.8)\", \"bbox\": [434, 58, 466, 68]}, {\"cell\": \"Evaluate and manage yourself, then refer for consultation\", \"bbox\": [20, 78, 98, 106]}, {\"cell\": \"150 (38.0)\", \"bbox\": [133, 78, 169, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 78, 269, 87]}, {\"cell\": \"103 (26.0)\", \"bbox\": [333, 78, 369, 87]}, {\"cell\": \"171 (43.4)\", \"bbox\": [432, 78, 469, 87]}, {\"cell\": \"Evaluate yourself and then refer out for management\", \"bbox\": [9, 106, 98, 125]}, {\"cell\": \"119 (30.1)\", \"bbox\": [133, 106, 169, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 106, 269, 116]}, {\"cell\": \"106 (26.8)\", \"bbox\": [333, 106, 369, 116]}, {\"cell\": \"72 (18.3)\", \"bbox\": [435, 106, 467, 116]}, {\"cell\": \"Refer out for evaluation and management\", \"bbox\": [16, 126, 98, 145]}, {\"cell\": \"52 (13.2)\", \"bbox\": [135, 126, 167, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 126, 267, 136]}, {\"cell\": \"75 (18.9)\", \"bbox\": [335, 126, 367, 136]}, {\"cell\": \"29 (7.4)\", \"bbox\": [437, 126, 464, 136]}, {\"cell\": \"Refer out for evaluation and then take over management\", \"bbox\": [16, 145, 98, 174]}, {\"cell\": \"25 (6.3)\", \"bbox\": [137, 145, 165, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 145, 265, 155]}, {\"cell\": \"82 (20.7)\", \"bbox\": [335, 145, 367, 155]}, {\"cell\": \"36 (9.1)\", \"bbox\": [437, 145, 464, 155]}, {\"cell\": \"Other combination of options\", \"bbox\": [23, 174, 98, 193]}, {\"cell\": \"5 (1.3)\", \"bbox\": [139, 174, 163, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [239, 174, 263, 184]}, {\"cell\": \"9 (2.3)\", \"bbox\": [339, 174, 363, 184]}, {\"cell\": \"12 (3.0)\", \"bbox\": [437, 174, 464, 184]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1079811_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}365{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>All-cause mortality HR (95% CI)</b></td></tr><tr><td><b>Men (n = 1647)</b></td><td><b>Women (n = 1639)</b></td><td><b>All (n = 3286)</b></td></tr></thead><tbody><tr><td>Smoking trajectories (n)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Never smoker (921)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>Predominantly non-smoker (1086)</td><td>[EMPTY_CELL]</td><td>0.99 (0.51 to 1.92)</td><td>1.30 (0.86 to 1.99)</td></tr><tr><td>Predominantly smoker (692)</td><td>[EMPTY_CELL]</td><td>1.13 (0.55 to 2.35)</td><td>1.61 (1.03 to 2.50)</td></tr><tr><td>Lifelong smoker (587)</td><td>[EMPTY_CELL]</td><td>4.21 (2.41 to 7.33)</td><td>3.21 (2.14 to 4.79)</td></tr><tr><td>Most recent smoking status (n)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Never smoker (921)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>Former smoker (1114)</td><td>[EMPTY_CELL]</td><td>1.09 (0.56 to 2.11)</td><td>1.28 (0.84 to 1.95)</td></tr><tr><td>Current smoker (1251)</td><td>[EMPTY_CELL]</td><td>2.42 (1.42 to 4.13)</td><td>2.39 (1.64 to 3.48)</td></tr><tr><td>Smoking status at 25 years (n)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Never smoker (917)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>Former smoker (738)</td><td>[EMPTY_CELL]</td><td>0.56 (0.25 to 1.27)</td><td>1.50 (0.97 to 2.32)</td></tr><tr><td>Current smoker (1152)</td><td>[EMPTY_CELL]</td><td>2.24 (1.32 to 3.79)</td><td>1.90 (1.29 to 2.79)</td></tr><tr><td>Missing (479)</td><td>[EMPTY_CELL]</td><td>2.21 (1.14 to 4.26)</td><td>1.95 (1.24 to 3.07)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All-cause mortality HR (95% CI)</b>\", \"bbox\": [138, 4, 238, 13]}, {\"cell\": \"<b>Men (n = 1647)</b>\", \"bbox\": [138, 17, 188, 26]}, {\"cell\": \"<b>Women (n = 1639)</b>\", \"bbox\": [219, 17, 278, 26]}, {\"cell\": \"<b>All (n = 3286)</b>\", \"bbox\": [299, 17, 343, 26]}, {\"cell\": \"Smoking trajectories (n)\", \"bbox\": [1, 33, 72, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never smoker (921)\", \"bbox\": [8, 43, 68, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 43, 144, 52]}, {\"cell\": \"1\", \"bbox\": [219, 43, 224, 52]}, {\"cell\": \"1\", \"bbox\": [299, 43, 305, 52]}, {\"cell\": \"Predominantly non-smoker (1086)\", \"bbox\": [8, 53, 108, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 53, 195, 62]}, {\"cell\": \"0.99 (0.51 to 1.92)\", \"bbox\": [219, 53, 276, 62]}, {\"cell\": \"1.30 (0.86 to 1.99)\", \"bbox\": [299, 53, 356, 62]}, {\"cell\": \"Predominantly smoker (692)\", \"bbox\": [8, 64, 91, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 64, 195, 73]}, {\"cell\": \"1.13 (0.55 to 2.35)\", \"bbox\": [219, 64, 276, 73]}, {\"cell\": \"1.61 (1.03 to 2.50)\", \"bbox\": [299, 64, 356, 73]}, {\"cell\": \"Lifelong smoker (587)\", \"bbox\": [8, 74, 73, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 74, 195, 83]}, {\"cell\": \"4.21 (2.41 to 7.33)\", \"bbox\": [219, 74, 276, 83]}, {\"cell\": \"3.21 (2.14 to 4.79)\", \"bbox\": [299, 74, 356, 83]}, {\"cell\": \"Most recent smoking status (n)\", \"bbox\": [1, 85, 94, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never smoker (921)\", \"bbox\": [8, 95, 68, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 95, 144, 104]}, {\"cell\": \"1\", \"bbox\": [219, 95, 224, 104]}, {\"cell\": \"1\", \"bbox\": [299, 95, 305, 104]}, {\"cell\": \"Former smoker (1114)\", \"bbox\": [8, 106, 75, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 106, 195, 115]}, {\"cell\": \"1.09 (0.56 to 2.11)\", \"bbox\": [219, 106, 276, 115]}, {\"cell\": \"1.28 (0.84 to 1.95)\", \"bbox\": [299, 106, 356, 115]}, {\"cell\": \"Current smoker (1251)\", \"bbox\": [8, 116, 75, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 116, 195, 125]}, {\"cell\": \"2.42 (1.42 to 4.13)\", \"bbox\": [219, 116, 276, 125]}, {\"cell\": \"2.39 (1.64 to 3.48)\", \"bbox\": [299, 116, 356, 125]}, {\"cell\": \"Smoking status at 25 years (n)\", \"bbox\": [1, 127, 93, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never smoker (917)\", \"bbox\": [8, 137, 68, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 137, 144, 146]}, {\"cell\": \"1\", \"bbox\": [219, 137, 224, 146]}, {\"cell\": \"1\", \"bbox\": [299, 137, 305, 146]}, {\"cell\": \"Former smoker (738)\", \"bbox\": [8, 148, 71, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 148, 195, 156]}, {\"cell\": \"0.56 (0.25 to 1.27)\", \"bbox\": [219, 148, 276, 156]}, {\"cell\": \"1.50 (0.97 to 2.32)\", \"bbox\": [299, 148, 356, 156]}, {\"cell\": \"Current smoker (1152)\", \"bbox\": [8, 158, 75, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 158, 195, 167]}, {\"cell\": \"2.24 (1.32 to 3.79)\", \"bbox\": [219, 158, 276, 167]}, {\"cell\": \"1.90 (1.29 to 2.79)\", \"bbox\": [299, 158, 356, 167]}, {\"cell\": \"Missing (479)\", \"bbox\": [8, 168, 50, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 168, 195, 177]}, {\"cell\": \"2.21 (1.14 to 4.26)\", \"bbox\": [219, 168, 276, 177]}, {\"cell\": \"1.95 (1.24 to 3.07)\", \"bbox\": [299, 168, 356, 177]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2774042_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}366{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>AAs</b></td><td colspan=\\\"3\\\"><b>Linear regression data</b></td><td rowspan=\\\"2\\\"><b>LOQ (<i>μ</i>g)</b></td><td rowspan=\\\"2\\\"><b>LOD (<i>μ</i>g)</b></td></tr><tr><td><b>Regressive equation</b></td><td><b>Test range (mg/mL)</b></td><td><b><i>r</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 509.433<i>X</i> − 16.066</td><td>0.050–1.000</td><td>0.9998</td><td>0.017</td><td>0.005</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 449.506<i>X</i> − 5.904</td><td>0.099–1.986</td><td>1.0000</td><td>0.040</td><td>0.012</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 642.902<i>X</i> − 4.916</td><td>0.050–1.000</td><td>0.9999</td><td>0.020</td><td>0.006</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 890.173<i>X</i> − 8.861</td><td>0.101–2.016</td><td>1.0000</td><td>0.015</td><td>0.004</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 398.247<i>X</i> − 4.785</td><td>0.050–1.005</td><td>1.0000</td><td>0.040</td><td>0.012</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 796.495<i>X</i> − 7.740</td><td>0.099–1.987</td><td>1.0000</td><td>0.030</td><td>0.009</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 659.777<i>X</i> − 6.110</td><td>0.200–4.006</td><td>0.9999</td><td>0.020</td><td>0.006</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 419.329<i>X</i> − 3.329</td><td>0.035–0.693</td><td>0.9999</td><td>0.015</td><td>0.005</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 595.691<i>X</i> − 2.190</td><td>0.050–1.002</td><td>1.0000</td><td>0.015</td><td>0.004</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 555.808<i>X</i> − 1.043</td><td>0.030–0.607</td><td>1.0000</td><td>0.010</td><td>0.003</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 560.738<i>X</i> − 1.376</td><td>0.100–1.993</td><td>1.0000</td><td>0.013</td><td>0.004</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 455.008<i>X</i> − 1.167</td><td>0.050–0.990</td><td>1.0000</td><td>0.030</td><td>0.009</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 619.760<i>X</i> − 4.322</td><td>0.050–1.010</td><td>0.9999</td><td>0.012</td><td>0.003</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Y</i> = 869.350<i>X</i> − 1.930</td><td>0.030–0.605</td><td>0.9999</td><td>0.010</td><td>0.003</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>AAs</b>\", \"bbox\": [2, 9, 20, 20]}, {\"cell\": \"<b>Linear regression data</b>\", \"bbox\": [158, 4, 239, 15]}, {\"cell\": \"<b>LOQ (<i>μ</i>g)</b>\", \"bbox\": [379, 6, 417, 21]}, {\"cell\": \"<b>LOD (<i>μ</i>g)</b>\", \"bbox\": [461, 6, 499, 21]}, {\"cell\": \"<b>Regressive equation</b>\", \"bbox\": [67, 16, 140, 27]}, {\"cell\": \"<b>Test range (mg/mL)</b>\", \"bbox\": [191, 16, 264, 27]}, {\"cell\": \"<b><i>r</i></b>\", \"bbox\": [319, 13, 324, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 29, 18, 40]}, {\"cell\": \"<i>Y</i> = 509.433<i>X</i> − 16.066\", \"bbox\": [61, 26, 146, 41]}, {\"cell\": \"0.050–1.000\", \"bbox\": [205, 29, 250, 40]}, {\"cell\": \"0.9998\", \"bbox\": [309, 29, 334, 40]}, {\"cell\": \"0.017\", \"bbox\": [388, 29, 408, 40]}, {\"cell\": \"0.005\", \"bbox\": [469, 29, 491, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 42, 18, 52]}, {\"cell\": \"<i>Y</i> = 449.506<i>X</i> − 5.904\", \"bbox\": [63, 38, 144, 54]}, {\"cell\": \"0.099–1.986\", \"bbox\": [205, 42, 250, 52]}, {\"cell\": \"1.0000\", \"bbox\": [309, 42, 334, 52]}, {\"cell\": \"0.040\", \"bbox\": [387, 42, 409, 52]}, {\"cell\": \"0.012\", \"bbox\": [470, 42, 490, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 54, 16, 65]}, {\"cell\": \"<i>Y</i> = 642.902<i>X</i> − 4.916\", \"bbox\": [63, 51, 144, 66]}, {\"cell\": \"0.050–1.000\", \"bbox\": [205, 54, 250, 65]}, {\"cell\": \"0.9999\", \"bbox\": [309, 54, 335, 65]}, {\"cell\": \"0.020\", \"bbox\": [387, 54, 409, 65]}, {\"cell\": \"0.006\", \"bbox\": [469, 54, 491, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 67, 17, 77]}, {\"cell\": \"<i>Y</i> = 890.173<i>X</i> − 8.861\", \"bbox\": [63, 63, 144, 79]}, {\"cell\": \"0.101–2.016\", \"bbox\": [207, 67, 248, 77]}, {\"cell\": \"1.0000\", \"bbox\": [309, 67, 334, 77]}, {\"cell\": \"0.015\", \"bbox\": [388, 67, 408, 77]}, {\"cell\": \"0.004\", \"bbox\": [469, 67, 491, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 79, 18, 90]}, {\"cell\": \"<i>Y</i> = 398.247<i>X</i> − 4.785\", \"bbox\": [63, 76, 144, 91]}, {\"cell\": \"0.050–1.005\", \"bbox\": [205, 79, 249, 90]}, {\"cell\": \"1.0000\", \"bbox\": [309, 79, 334, 90]}, {\"cell\": \"0.040\", \"bbox\": [387, 79, 409, 90]}, {\"cell\": \"0.012\", \"bbox\": [470, 79, 490, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 91, 17, 102]}, {\"cell\": \"<i>Y</i> = 796.495<i>X</i> − 7.740\", \"bbox\": [63, 88, 144, 104]}, {\"cell\": \"0.099–1.987\", \"bbox\": [205, 91, 249, 102]}, {\"cell\": \"1.0000\", \"bbox\": [309, 91, 334, 102]}, {\"cell\": \"0.030\", \"bbox\": [387, 91, 409, 102]}, {\"cell\": \"0.009\", \"bbox\": [469, 91, 491, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 104, 17, 115]}, {\"cell\": \"<i>Y</i> = 659.777<i>X</i> − 6.110\", \"bbox\": [63, 101, 144, 116]}, {\"cell\": \"0.200–4.006\", \"bbox\": [204, 104, 250, 115]}, {\"cell\": \"0.9999\", \"bbox\": [308, 104, 335, 115]}, {\"cell\": \"0.020\", \"bbox\": [387, 104, 409, 115]}, {\"cell\": \"0.006\", \"bbox\": [469, 104, 491, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 116, 17, 127]}, {\"cell\": \"<i>Y</i> = 419.329<i>X</i> − 3.329\", \"bbox\": [63, 113, 144, 129]}, {\"cell\": \"0.035–0.693\", \"bbox\": [205, 116, 250, 127]}, {\"cell\": \"0.9999\", \"bbox\": [308, 116, 335, 127]}, {\"cell\": \"0.015\", \"bbox\": [388, 116, 408, 127]}, {\"cell\": \"0.005\", \"bbox\": [469, 116, 491, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 129, 16, 139]}, {\"cell\": \"<i>Y</i> = 595.691<i>X</i> − 2.190\", \"bbox\": [63, 126, 144, 141]}, {\"cell\": \"0.050–1.002\", \"bbox\": [205, 129, 249, 139]}, {\"cell\": \"1.0000\", \"bbox\": [309, 129, 334, 139]}, {\"cell\": \"0.015\", \"bbox\": [388, 129, 408, 139]}, {\"cell\": \"0.004\", \"bbox\": [469, 129, 491, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 141, 14, 152]}, {\"cell\": \"<i>Y</i> = 555.808<i>X</i> − 1.043\", \"bbox\": [63, 138, 144, 153]}, {\"cell\": \"0.030–0.607\", \"bbox\": [204, 141, 250, 152]}, {\"cell\": \"1.0000\", \"bbox\": [309, 141, 334, 152]}, {\"cell\": \"0.010\", \"bbox\": [388, 141, 408, 152]}, {\"cell\": \"0.003\", \"bbox\": [469, 141, 491, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 154, 18, 164]}, {\"cell\": \"<i>Y</i> = 560.738<i>X</i> − 1.376\", \"bbox\": [63, 150, 144, 166]}, {\"cell\": \"0.100–1.993\", \"bbox\": [206, 154, 249, 164]}, {\"cell\": \"1.0000\", \"bbox\": [309, 154, 334, 164]}, {\"cell\": \"0.013\", \"bbox\": [388, 154, 408, 164]}, {\"cell\": \"0.004\", \"bbox\": [469, 154, 491, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 166, 18, 177]}, {\"cell\": \"<i>Y</i> = 455.008<i>X</i> − 1.167\", \"bbox\": [63, 163, 144, 178]}, {\"cell\": \"0.050–0.990\", \"bbox\": [204, 166, 250, 177]}, {\"cell\": \"1.0000\", \"bbox\": [309, 166, 334, 177]}, {\"cell\": \"0.030\", \"bbox\": [387, 166, 409, 177]}, {\"cell\": \"0.009\", \"bbox\": [469, 166, 491, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 179, 19, 189]}, {\"cell\": \"<i>Y</i> = 619.760<i>X</i> − 4.322\", \"bbox\": [63, 175, 144, 191]}, {\"cell\": \"0.050–1.010\", \"bbox\": [206, 179, 249, 189]}, {\"cell\": \"0.9999\", \"bbox\": [308, 179, 334, 189]}, {\"cell\": \"0.012\", \"bbox\": [388, 179, 408, 189]}, {\"cell\": \"0.003\", \"bbox\": [469, 179, 491, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 191, 16, 202]}, {\"cell\": \"<i>Y</i> = 869.350<i>X</i> − 1.930\", \"bbox\": [63, 188, 144, 203]}, {\"cell\": \"0.030–0.605\", \"bbox\": [205, 191, 250, 202]}, {\"cell\": \"0.9999\", \"bbox\": [308, 191, 335, 202]}, {\"cell\": \"0.010\", \"bbox\": [388, 191, 408, 202]}, {\"cell\": \"0.003\", \"bbox\": [469, 191, 491, 202]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3976834_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}367{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Analyte</b></td><td><b>LOD (μg/mL)</b></td><td><b>LOQ (μg/mL)</b></td><td><b>Repeatability at LOQ (% RSD, <i>n</i> = 6)</b></td><td><b>Linearity range (μg/mL)</b></td><td><b>Calibration equation (<i>y</i> = area, <i>x</i> = μg/mL)</b></td><td><b>95% confidence interval for intercept</b></td><td><b>Residual standard deviation</b></td></tr></thead><tbody><tr><td>Imp-1</td><td>0.06</td><td>0.19</td><td>1.36</td><td>0.19–7.50</td><td><i>y</i> = 23.382<i>x</i> − 1.3075</td><td>(−3.81,1.20)</td><td>[EMPTY_CELL]</td></tr><tr><td>Imp-2</td><td>0.11</td><td>0.26</td><td>1.55</td><td>0.26–7.50</td><td><i>y</i> = 25.474<i>x</i> + 0.136</td><td>(−1.20,1.47)</td><td>[EMPTY_CELL]</td></tr><tr><td>Imp-3</td><td>0.12</td><td>0.29</td><td>1.28</td><td>0.29–7.50</td><td><i>y</i> = 25.664<i>x</i> − 2.9776</td><td>(−3.81,2.60)</td><td>[EMPTY_CELL]</td></tr><tr><td>Imp-4</td><td>0.12</td><td>0.31</td><td>1.83</td><td>0.31–7.50</td><td><i>y</i> = 21.13<i>x</i> + 0.4211</td><td>(−1.20,2.03)</td><td>[EMPTY_CELL]</td></tr><tr><td>Imp-5</td><td>0.08</td><td>0.25</td><td>1.15</td><td>0.25–7.50</td><td><i>y</i> = 20.019<i>x</i> − 0.5906</td><td>(−2.67,1.49)</td><td>[EMPTY_CELL]</td></tr><tr><td>Imp-6</td><td>0.13</td><td>0.35</td><td>1.66</td><td>0.31–7.50</td><td><i>y</i> = 20.455<i>x</i> − 0.6923</td><td>(−2.63,1.26)</td><td>[EMPTY_CELL]</td></tr><tr><td>a M</td><td>0.09</td><td>0.21</td><td>1.27</td><td>0.21–7.50</td><td><i>y</i> = 21.049<i>x</i> + 0.4519</td><td>(−1.07,1.97)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Analyte</b>\", \"bbox\": [7, 22, 42, 33]}, {\"cell\": \"<b>LOD (μg/mL)</b>\", \"bbox\": [54, 14, 91, 41]}, {\"cell\": \"<b>LOQ (μg/mL)</b>\", \"bbox\": [106, 14, 143, 41]}, {\"cell\": \"<b>Repeatability at LOQ (% RSD, <i>n</i> = 6)</b>\", \"bbox\": [150, 7, 218, 48]}, {\"cell\": \"<b>Linearity range (μg/mL)</b>\", \"bbox\": [222, 7, 265, 49]}, {\"cell\": \"<b>Calibration equation (<i>y</i> = area, <i>x</i> = μg/mL)</b>\", \"bbox\": [276, 14, 367, 41]}, {\"cell\": \"<b>95% confidence interval for intercept</b>\", \"bbox\": [375, 7, 445, 48]}, {\"cell\": \"<b>Residual standard deviation</b>\", \"bbox\": [451, 7, 492, 48]}, {\"cell\": \"Imp-1\", \"bbox\": [11, 52, 37, 63]}, {\"cell\": \"0.06\", \"bbox\": [63, 52, 82, 63]}, {\"cell\": \"0.19\", \"bbox\": [115, 52, 135, 63]}, {\"cell\": \"1.36\", \"bbox\": [174, 52, 194, 63]}, {\"cell\": \"0.19–7.50\", \"bbox\": [223, 52, 265, 63]}, {\"cell\": \"<i>y</i> = 23.382<i>x</i> − 1.3075\", \"bbox\": [278, 49, 365, 64]}, {\"cell\": \"(−3.81,1.20)\", \"bbox\": [384, 49, 436, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 52, 481, 63]}, {\"cell\": \"Imp-2\", \"bbox\": [11, 67, 37, 78]}, {\"cell\": \"0.11\", \"bbox\": [63, 67, 82, 78]}, {\"cell\": \"0.26\", \"bbox\": [115, 67, 135, 78]}, {\"cell\": \"1.55\", \"bbox\": [174, 67, 194, 78]}, {\"cell\": \"0.26–7.50\", \"bbox\": [223, 67, 265, 78]}, {\"cell\": \"<i>y</i> = 25.474<i>x</i> + 0.136\", \"bbox\": [280, 67, 363, 78]}, {\"cell\": \"(−1.20,1.47)\", \"bbox\": [384, 64, 436, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 67, 481, 78]}, {\"cell\": \"Imp-3\", \"bbox\": [11, 82, 37, 93]}, {\"cell\": \"0.12\", \"bbox\": [63, 82, 82, 93]}, {\"cell\": \"0.29\", \"bbox\": [115, 82, 135, 93]}, {\"cell\": \"1.28\", \"bbox\": [174, 82, 194, 93]}, {\"cell\": \"0.29–7.50\", \"bbox\": [223, 82, 265, 93]}, {\"cell\": \"<i>y</i> = 25.664<i>x</i> − 2.9776\", \"bbox\": [278, 79, 365, 94]}, {\"cell\": \"(−3.81,2.60)\", \"bbox\": [384, 79, 436, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 82, 481, 93]}, {\"cell\": \"Imp-4\", \"bbox\": [11, 97, 37, 108]}, {\"cell\": \"0.12\", \"bbox\": [63, 97, 82, 108]}, {\"cell\": \"0.31\", \"bbox\": [115, 97, 135, 108]}, {\"cell\": \"1.83\", \"bbox\": [174, 97, 194, 108]}, {\"cell\": \"0.31–7.50\", \"bbox\": [223, 97, 265, 108]}, {\"cell\": \"<i>y</i> = 21.13<i>x</i> + 0.4211\", \"bbox\": [280, 97, 363, 108]}, {\"cell\": \"(−1.20,2.03)\", \"bbox\": [384, 94, 436, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 97, 481, 108]}, {\"cell\": \"Imp-5\", \"bbox\": [11, 112, 37, 123]}, {\"cell\": \"0.08\", \"bbox\": [63, 112, 82, 123]}, {\"cell\": \"0.25\", \"bbox\": [115, 112, 135, 123]}, {\"cell\": \"1.15\", \"bbox\": [174, 112, 194, 123]}, {\"cell\": \"0.25–7.50\", \"bbox\": [223, 112, 265, 123]}, {\"cell\": \"<i>y</i> = 20.019<i>x</i> − 0.5906\", \"bbox\": [278, 109, 365, 124]}, {\"cell\": \"(−2.67,1.49)\", \"bbox\": [384, 109, 436, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 112, 481, 123]}, {\"cell\": \"Imp-6\", \"bbox\": [11, 127, 37, 138]}, {\"cell\": \"0.13\", \"bbox\": [63, 127, 82, 138]}, {\"cell\": \"0.35\", \"bbox\": [115, 127, 135, 138]}, {\"cell\": \"1.66\", \"bbox\": [174, 127, 194, 138]}, {\"cell\": \"0.31–7.50\", \"bbox\": [223, 127, 265, 138]}, {\"cell\": \"<i>y</i> = 20.455<i>x</i> − 0.6923\", \"bbox\": [278, 124, 365, 139]}, {\"cell\": \"(−2.63,1.26)\", \"bbox\": [384, 124, 436, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 127, 481, 138]}, {\"cell\": \"a M\", \"bbox\": [16, 140, 32, 153]}, {\"cell\": \"0.09\", \"bbox\": [63, 142, 82, 153]}, {\"cell\": \"0.21\", \"bbox\": [115, 142, 135, 153]}, {\"cell\": \"1.27\", \"bbox\": [174, 142, 194, 153]}, {\"cell\": \"0.21–7.50\", \"bbox\": [222, 142, 265, 153]}, {\"cell\": \"<i>y</i> = 21.049<i>x</i> + 0.4519\", \"bbox\": [278, 142, 365, 153]}, {\"cell\": \"(−1.07,1.97)\", \"bbox\": [384, 139, 436, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 142, 481, 153]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3855999_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}368{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>univariate</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>multivariate</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>final model</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>HR</b></td><td><b><i>p</i></b></td><td>[EMPTY_CELL]</td><td><b><i>p</i></b></td><td><b>HR</b></td><td><b><i>p</i></b></td></tr><tr><td>age>65 years</td><td>2.99</td><td><0.0001</td><td>[EMPTY_CELL]</td><td><0.0001</td><td>3.43</td><td><0.0001</td></tr><tr><td>male sex</td><td>1.86</td><td>0.0018</td><td>[EMPTY_CELL]</td><td>0.0030</td><td>1.80</td><td>0.0038</td></tr><tr><td>ALC>14 × 10<sup>9</sup>/L</td><td>1.67</td><td>0.0062</td><td>[EMPTY_CELL]</td><td>0.17</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>β<sub>2</sub>M>1 × ULN</td><td>1.43</td><td><0.0001</td><td>[EMPTY_CELL]</td><td>0.06</td><td>1.59</td><td>0.029</td></tr><tr><td>LNR ≥3</td><td>3.06</td><td><0.0001</td><td>[EMPTY_CELL]</td><td>0.59</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Binet stage</td><td>[EMPTY_CELL]</td><td><0.0001</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> A</td><td>ref</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>ref</td><td>[EMPTY_CELL]</td></tr><tr><td> B</td><td>3.20</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.0352</td><td>2.77</td><td><0.0001</td></tr><tr><td> C</td><td>4.95</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.0028</td><td>3.68</td><td><0.0001</td></tr><tr><td>Rai stage</td><td>[EMPTY_CELL]</td><td><0.0001</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 0</td><td>ref</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> I-II</td><td>1.66</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> III-IV</td><td>5.08</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>CD38>30%</td><td>1.73</td><td>0.0038</td><td>[EMPTY_CELL]</td><td>0.88</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>ZAP-70>20%</td><td>1.53</td><td>0.0204</td><td>[EMPTY_CELL]</td><td>0.83</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Unmutated IGHV</td><td>2.46</td><td><0.0001</td><td>[EMPTY_CELL]</td><td>0.0008</td><td>2.04</td><td>0.0003</td></tr><tr><td>del17p</td><td>3.44</td><td><0.0001</td><td>[EMPTY_CELL]</td><td>0.0015</td><td>2.06</td><td>0.0022</td></tr><tr><td>del11q</td><td>1.39</td><td>0.248</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Year of diagnosis</td><td>[EMPTY_CELL]</td><td>0.0130</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\">(in model as strata)*</td></tr><tr><td> <2001</td><td>ref</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 2001-2005</td><td>1.46</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> >2005</td><td>2.34</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Therapy</td><td>[EMPTY_CELL]</td><td>0.106</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Chemotherapy</td><td>ref</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Immunochemotherapy</td><td>0.6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>univariate</b>\", \"bbox\": [108, 4, 144, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>multivariate</b>\", \"bbox\": [362, 4, 405, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 17, 281, 25]}, {\"cell\": \"<b>final model</b>\", \"bbox\": [362, 17, 403, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>HR</b>\", \"bbox\": [108, 30, 120, 38]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [176, 32, 182, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 30, 247, 38]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [292, 32, 298, 40]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [362, 30, 373, 38]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [419, 32, 425, 40]}, {\"cell\": \"age>65 years\", \"bbox\": [1, 44, 45, 53]}, {\"cell\": \"2.99\", \"bbox\": [108, 44, 123, 53]}, {\"cell\": \"<0.0001\", \"bbox\": [176, 44, 203, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 44, 250, 53]}, {\"cell\": \"<0.0001\", \"bbox\": [292, 44, 319, 53]}, {\"cell\": \"3.43\", \"bbox\": [362, 44, 376, 53]}, {\"cell\": \"<0.0001\", \"bbox\": [419, 44, 446, 53]}, {\"cell\": \"male sex\", \"bbox\": [1, 57, 31, 66]}, {\"cell\": \"1.86\", \"bbox\": [108, 57, 123, 66]}, {\"cell\": \"0.0018\", \"bbox\": [176, 57, 198, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 57, 250, 66]}, {\"cell\": \"0.0030\", \"bbox\": [292, 57, 315, 66]}, {\"cell\": \"1.80\", \"bbox\": [362, 57, 376, 66]}, {\"cell\": \"0.0038\", \"bbox\": [419, 57, 441, 66]}, {\"cell\": \"ALC>14 × 10<sup>9</sup>/L\", \"bbox\": [1, 68, 54, 79]}, {\"cell\": \"1.67\", \"bbox\": [108, 70, 123, 79]}, {\"cell\": \"0.0062\", \"bbox\": [176, 70, 198, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 70, 250, 79]}, {\"cell\": \"0.17\", \"bbox\": [292, 70, 307, 79]}, {\"cell\": \"-\", \"bbox\": [362, 70, 366, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"β<sub>2</sub>M>1 × ULN\", \"bbox\": [1, 83, 48, 93]}, {\"cell\": \"1.43\", \"bbox\": [108, 83, 123, 93]}, {\"cell\": \"<0.0001\", \"bbox\": [176, 83, 203, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 83, 250, 93]}, {\"cell\": \"0.06\", \"bbox\": [292, 83, 307, 93]}, {\"cell\": \"1.59\", \"bbox\": [362, 83, 376, 93]}, {\"cell\": \"0.029\", \"bbox\": [419, 83, 437, 93]}, {\"cell\": \"LNR ≥3\", \"bbox\": [1, 96, 26, 106]}, {\"cell\": \"3.06\", \"bbox\": [108, 96, 123, 106]}, {\"cell\": \"<0.0001\", \"bbox\": [176, 96, 203, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 96, 250, 106]}, {\"cell\": \"0.59\", \"bbox\": [292, 96, 307, 106]}, {\"cell\": \"-\", \"bbox\": [362, 96, 366, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Binet stage\", \"bbox\": [1, 110, 38, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0001\", \"bbox\": [176, 110, 203, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A\", \"bbox\": [15, 123, 22, 132]}, {\"cell\": \"ref\", \"bbox\": [108, 123, 118, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 123, 245, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ref\", \"bbox\": [362, 123, 372, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" B\", \"bbox\": [15, 136, 21, 145]}, {\"cell\": \"3.20\", \"bbox\": [108, 136, 123, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 136, 250, 145]}, {\"cell\": \"0.0352\", \"bbox\": [292, 136, 315, 145]}, {\"cell\": \"2.77\", \"bbox\": [362, 136, 376, 145]}, {\"cell\": \"<0.0001\", \"bbox\": [419, 136, 446, 145]}, {\"cell\": \" C\", \"bbox\": [15, 149, 22, 159]}, {\"cell\": \"4.95\", \"bbox\": [108, 149, 123, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 149, 250, 159]}, {\"cell\": \"0.0028\", \"bbox\": [292, 149, 315, 159]}, {\"cell\": \"3.68\", \"bbox\": [362, 149, 376, 159]}, {\"cell\": \"<0.0001\", \"bbox\": [419, 149, 446, 159]}, {\"cell\": \"Rai stage\", \"bbox\": [1, 162, 31, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0001\", \"bbox\": [176, 162, 203, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0\", \"bbox\": [15, 176, 21, 185]}, {\"cell\": \"ref\", \"bbox\": [108, 176, 118, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 176, 247, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" I-II\", \"bbox\": [15, 189, 25, 198]}, {\"cell\": \"1.66\", \"bbox\": [108, 189, 123, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 189, 247, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" III-IV\", \"bbox\": [15, 202, 30, 211]}, {\"cell\": \"5.08\", \"bbox\": [108, 202, 123, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 202, 247, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CD38>30%\", \"bbox\": [1, 215, 38, 225]}, {\"cell\": \"1.73\", \"bbox\": [108, 215, 123, 225]}, {\"cell\": \"0.0038\", \"bbox\": [176, 215, 198, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 215, 250, 225]}, {\"cell\": \"0.88\", \"bbox\": [292, 215, 307, 225]}, {\"cell\": \"-\", \"bbox\": [362, 215, 366, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ZAP-70>20%\", \"bbox\": [1, 228, 44, 238]}, {\"cell\": \"1.53\", \"bbox\": [108, 228, 123, 238]}, {\"cell\": \"0.0204\", \"bbox\": [176, 228, 198, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 228, 250, 238]}, {\"cell\": \"0.83\", \"bbox\": [292, 228, 307, 238]}, {\"cell\": \"-\", \"bbox\": [362, 228, 366, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unmutated IGHV\", \"bbox\": [1, 242, 57, 251]}, {\"cell\": \"2.46\", \"bbox\": [108, 242, 123, 251]}, {\"cell\": \"<0.0001\", \"bbox\": [176, 242, 203, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 242, 250, 251]}, {\"cell\": \"0.0008\", \"bbox\": [292, 242, 315, 251]}, {\"cell\": \"2.04\", \"bbox\": [362, 242, 376, 251]}, {\"cell\": \"0.0003\", \"bbox\": [419, 242, 441, 251]}, {\"cell\": \"del17p\", \"bbox\": [1, 255, 24, 264]}, {\"cell\": \"3.44\", \"bbox\": [108, 255, 123, 264]}, {\"cell\": \"<0.0001\", \"bbox\": [176, 255, 203, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 255, 250, 264]}, {\"cell\": \"0.0015\", \"bbox\": [292, 255, 315, 264]}, {\"cell\": \"2.06\", \"bbox\": [362, 255, 376, 264]}, {\"cell\": \"0.0022\", \"bbox\": [419, 255, 441, 264]}, {\"cell\": \"del11q\", \"bbox\": [1, 268, 24, 277]}, {\"cell\": \"1.39\", \"bbox\": [108, 268, 123, 277]}, {\"cell\": \"0.248\", \"bbox\": [176, 268, 195, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 268, 247, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year of diagnosis\", \"bbox\": [1, 281, 58, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.0130\", \"bbox\": [176, 281, 198, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 281, 302, 291]}, {\"cell\": \"(in model as strata)*\", \"bbox\": [362, 281, 429, 291]}, {\"cell\": \" <2001\", \"bbox\": [15, 294, 37, 304]}, {\"cell\": \"ref\", \"bbox\": [108, 294, 118, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2001-2005\", \"bbox\": [15, 308, 50, 317]}, {\"cell\": \"1.46\", \"bbox\": [108, 308, 123, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >2005\", \"bbox\": [15, 321, 37, 330]}, {\"cell\": \"2.34\", \"bbox\": [108, 321, 123, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Therapy\", \"bbox\": [1, 334, 28, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.106\", \"bbox\": [176, 334, 195, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 334, 247, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Chemotherapy\", \"bbox\": [15, 347, 65, 357]}, {\"cell\": \"ref\", \"bbox\": [108, 347, 118, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Immunochemotherapy\", \"bbox\": [1, 360, 76, 370]}, {\"cell\": \"0.6\", \"bbox\": [108, 360, 119, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3297493_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}369{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Patients (<i>n</i>=48)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>22/26</td></tr><tr><td>[EMPTY_CELL]</td><td>39.3 ±10.7, 14-62</td></tr><tr><td>[EMPTY_CELL]</td><td>23 (47.9%)</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (8.3%)</td></tr><tr><td>[EMPTY_CELL]</td><td>21 (43.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>771.6 (209-5361)232203</td></tr><tr><td>[EMPTY_CELL]</td><td>4.8 ± 1.17, 2.5–7</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>18 (37.5%)</td></tr><tr><td>[EMPTY_CELL]</td><td>16 (33.3%)</td></tr><tr><td>[EMPTY_CELL]</td><td>14 (29.2%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [4, 4, 46, 15]}, {\"cell\": \"<b>Patients (<i>n</i>=48)</b>\", \"bbox\": [245, 4, 312, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 14, 43, 30]}, {\"cell\": \"22/26\", \"bbox\": [245, 18, 270, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 28, 130, 44]}, {\"cell\": \"39.3 ±10.7, 14-62\", \"bbox\": [245, 32, 318, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 46, 86, 57]}, {\"cell\": \"23 (47.9%)\", \"bbox\": [245, 46, 292, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 60, 84, 71]}, {\"cell\": \"4 (8.3%)\", \"bbox\": [245, 60, 282, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 74, 84, 85]}, {\"cell\": \"21 (43.8)\", \"bbox\": [245, 74, 284, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 87, 56, 148]}, {\"cell\": \"771.6 (209-5361)232203\", \"bbox\": [245, 87, 317, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 147, 178, 162]}, {\"cell\": \"4.8 ± 1.17, 2.5–7\", \"bbox\": [245, 150, 315, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 164, 137, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 178, 48, 190]}, {\"cell\": \"18 (37.5%)\", \"bbox\": [245, 178, 292, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 51, 204]}, {\"cell\": \"16 (33.3%)\", \"bbox\": [245, 192, 292, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 206, 52, 218]}, {\"cell\": \"14 (29.2%)\", \"bbox\": [245, 206, 292, 218]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5239444_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}370{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Product</b></td><td><b>CFT073</b></td><td><b>p7</b></td><td><b>p13</b></td><td><b>p19A</b></td><td><b>p19B</b></td><td><b>p22</b></td><td><b>p29</b></td><td><b>p30</b></td><td><b>HM95</b></td><td><b>HM413</b></td><td><b>HM419</b></td><td><b>HM580</b></td><td><b>HM605</b></td><td><b>HM615</b></td></tr></thead><tbody><tr><td><b>Adhesins</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>F1C fimbriae</td><td>+</td><td>+/-</td><td>[EMPTY_CELL]</td><td>+</td><td>+/-</td><td>+</td><td>-</td><td>+/-</td><td>+/-</td><td>+/-</td><td>+/-</td><td>+/-</td><td>+/-</td><td>+/-</td></tr><tr><td>P fimbriae</td><td>+</td><td>+/-</td><td>[EMPTY_CELL]</td><td>+</td><td>+/-</td><td>+/-</td><td>+/-</td><td>+</td><td>+/-</td><td>-</td><td>+/-</td><td>+</td><td>+</td><td>+</td></tr><tr><td>Pix fimbriae</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>F17 fimbriae</td><td>-</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td><td>+/-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>CS12 fimbriae</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td><i>yapH</i></td><td>+</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td><td>+</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>ShlA/HecA/FhaA exoprotein family</td><td>+</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>-</td><td>+</td><td>-</td><td>-</td><td>+</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td><b>Toxins</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>RTX family exoprotein</td><td>+</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Haemoglobin protease</td><td>+</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>-</td><td>+</td><td>-</td><td>+</td><td>-</td><td>+</td><td>-</td><td>-</td><td>+</td><td>+</td></tr><tr><td><i>hly</i></td><td>+</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>+/-</td><td>+/-</td><td>-</td><td>-</td><td>+/-</td><td>+/-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td><i>sat</i></td><td>+</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>+</td><td>+</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td><td>+</td><td>-</td><td>-</td></tr><tr><td><i>cdt</i></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td><i>cnf1</i></td><td>-</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td><b>Nutrition</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>iro</i></td><td>+</td><td>-</td><td>[EMPTY_CELL]</td><td>+</td><td>-</td><td>+</td><td>+/-</td><td>+/-</td><td>-</td><td>+</td><td>-</td><td>-</td><td>+</td><td>+</td></tr><tr><td><i>pgt</i></td><td>+</td><td>+/-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>+/-</td><td>+/-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>+</td><td>+</td></tr><tr><td><b>Other</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>tcpC</i></td><td>+</td><td>-</td><td>[EMPTY_CELL]</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td><i>shiA homolog</i></td><td>+</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td><td>-</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td><i>pntC</i></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td><i>ibeA</i></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>K1 capsule genes</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td><td>+</td><td>+</td></tr><tr><td>K2 capsule genes</td><td>+</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>K15 capsule genes</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>putative FMN-dependent dehydrogenase</td><td>-</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>PAI-CFT073-<i>asnW </i>(pks)</td><td>+</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>+/-</td><td>+</td><td>+/-</td><td>-</td><td>+/-</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>GimB island</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>+</td><td>-</td><td>-</td><td>-</td><td>-</td><td>+</td><td>+</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Product</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>CFT073</b>\", \"bbox\": [139, 4, 166, 13]}, {\"cell\": \"<b>p7</b>\", \"bbox\": [170, 4, 181, 13]}, {\"cell\": \"<b>p13</b>\", \"bbox\": [186, 4, 201, 13]}, {\"cell\": \"<b>p19A</b>\", \"bbox\": [205, 4, 225, 13]}, {\"cell\": \"<b>p19B</b>\", \"bbox\": [229, 4, 249, 13]}, {\"cell\": \"<b>p22</b>\", \"bbox\": [253, 4, 268, 13]}, {\"cell\": \"<b>p29</b>\", \"bbox\": [272, 4, 287, 13]}, {\"cell\": \"<b>p30</b>\", \"bbox\": [291, 4, 306, 13]}, {\"cell\": \"<b>HM95</b>\", \"bbox\": [310, 4, 332, 13]}, {\"cell\": \"<b>HM413</b>\", \"bbox\": [336, 4, 363, 13]}, {\"cell\": \"<b>HM419</b>\", \"bbox\": [366, 4, 393, 13]}, {\"cell\": \"<b>HM580</b>\", \"bbox\": [397, 4, 423, 13]}, {\"cell\": \"<b>HM605</b>\", \"bbox\": [427, 4, 454, 13]}, {\"cell\": \"<b>HM615</b>\", \"bbox\": [458, 4, 484, 13]}, {\"cell\": \"<b>Adhesins</b>\", \"bbox\": [1, 17, 34, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F1C fimbriae\", \"bbox\": [1, 29, 43, 39]}, {\"cell\": \"+\", \"bbox\": [149, 29, 156, 39]}, {\"cell\": \"+/-\", \"bbox\": [170, 29, 182, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 29, 195, 39]}, {\"cell\": \"+\", \"bbox\": [212, 29, 218, 39]}, {\"cell\": \"+/-\", \"bbox\": [233, 29, 245, 39]}, {\"cell\": \"+\", \"bbox\": [257, 29, 263, 39]}, {\"cell\": \"-\", \"bbox\": [277, 29, 281, 39]}, {\"cell\": \"+/-\", \"bbox\": [292, 29, 304, 39]}, {\"cell\": \"+/-\", \"bbox\": [315, 29, 327, 39]}, {\"cell\": \"+/-\", \"bbox\": [343, 29, 355, 39]}, {\"cell\": \"+/-\", \"bbox\": [374, 29, 386, 39]}, {\"cell\": \"+/-\", \"bbox\": [404, 29, 416, 39]}, {\"cell\": \"+/-\", \"bbox\": [435, 29, 447, 39]}, {\"cell\": \"+/-\", \"bbox\": [465, 29, 477, 39]}, {\"cell\": \"P fimbriae\", \"bbox\": [1, 41, 35, 51]}, {\"cell\": \"+\", \"bbox\": [149, 41, 156, 51]}, {\"cell\": \"+/-\", \"bbox\": [170, 41, 182, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 41, 195, 51]}, {\"cell\": \"+\", \"bbox\": [212, 41, 218, 51]}, {\"cell\": \"+/-\", \"bbox\": [233, 41, 245, 51]}, {\"cell\": \"+/-\", \"bbox\": [254, 41, 266, 51]}, {\"cell\": \"+/-\", \"bbox\": [273, 41, 285, 51]}, {\"cell\": \"+\", \"bbox\": [295, 41, 302, 51]}, {\"cell\": \"+/-\", \"bbox\": [315, 41, 327, 51]}, {\"cell\": \"-\", \"bbox\": [347, 41, 351, 51]}, {\"cell\": \"+/-\", \"bbox\": [374, 41, 386, 51]}, {\"cell\": \"+\", \"bbox\": [407, 41, 414, 51]}, {\"cell\": \"+\", \"bbox\": [437, 41, 444, 51]}, {\"cell\": \"+\", \"bbox\": [468, 41, 474, 51]}, {\"cell\": \"Pix fimbriae\", \"bbox\": [1, 53, 40, 63]}, {\"cell\": \"-\", \"bbox\": [150, 53, 154, 63]}, {\"cell\": \"-\", \"bbox\": [174, 53, 178, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [187, 53, 199, 63]}, {\"cell\": \"-\", \"bbox\": [213, 53, 217, 63]}, {\"cell\": \"-\", \"bbox\": [237, 53, 241, 63]}, {\"cell\": \"-\", \"bbox\": [258, 53, 262, 63]}, {\"cell\": \"-\", \"bbox\": [277, 53, 281, 63]}, {\"cell\": \"-\", \"bbox\": [296, 53, 300, 63]}, {\"cell\": \"-\", \"bbox\": [319, 53, 323, 63]}, {\"cell\": \"-\", \"bbox\": [347, 53, 351, 63]}, {\"cell\": \"-\", \"bbox\": [378, 53, 382, 63]}, {\"cell\": \"-\", \"bbox\": [408, 53, 412, 63]}, {\"cell\": \"-\", \"bbox\": [439, 53, 443, 63]}, {\"cell\": \"-\", \"bbox\": [469, 53, 473, 63]}, {\"cell\": \"F17 fimbriae\", \"bbox\": [1, 65, 42, 75]}, {\"cell\": \"-\", \"bbox\": [150, 65, 154, 75]}, {\"cell\": \"+\", \"bbox\": [173, 65, 179, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 65, 195, 75]}, {\"cell\": \"+\", \"bbox\": [212, 65, 218, 75]}, {\"cell\": \"-\", \"bbox\": [237, 65, 241, 75]}, {\"cell\": \"-\", \"bbox\": [258, 65, 262, 75]}, {\"cell\": \"-\", \"bbox\": [277, 65, 281, 75]}, {\"cell\": \"-\", \"bbox\": [296, 65, 300, 75]}, {\"cell\": \"+/-\", \"bbox\": [315, 65, 327, 75]}, {\"cell\": \"-\", \"bbox\": [347, 65, 351, 75]}, {\"cell\": \"-\", \"bbox\": [378, 65, 382, 75]}, {\"cell\": \"-\", \"bbox\": [408, 65, 412, 75]}, {\"cell\": \"-\", \"bbox\": [439, 65, 443, 75]}, {\"cell\": \"-\", \"bbox\": [469, 65, 473, 75]}, {\"cell\": \"CS12 fimbriae\", \"bbox\": [1, 77, 47, 86]}, {\"cell\": \"-\", \"bbox\": [150, 77, 154, 86]}, {\"cell\": \"-\", \"bbox\": [174, 77, 178, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 77, 195, 86]}, {\"cell\": \"-\", \"bbox\": [213, 77, 217, 86]}, {\"cell\": \"-\", \"bbox\": [237, 77, 241, 86]}, {\"cell\": \"-\", \"bbox\": [258, 77, 262, 86]}, {\"cell\": \"-\", \"bbox\": [277, 77, 281, 86]}, {\"cell\": \"-\", \"bbox\": [296, 77, 300, 86]}, {\"cell\": \"-\", \"bbox\": [319, 77, 323, 86]}, {\"cell\": \"-\", \"bbox\": [347, 77, 351, 86]}, {\"cell\": \"-\", \"bbox\": [378, 77, 382, 86]}, {\"cell\": \"-\", \"bbox\": [408, 77, 412, 86]}, {\"cell\": \"-\", \"bbox\": [439, 77, 443, 86]}, {\"cell\": \"-\", \"bbox\": [469, 77, 473, 86]}, {\"cell\": \"<i>yapH</i>\", \"bbox\": [1, 89, 18, 98]}, {\"cell\": \"+\", \"bbox\": [149, 89, 156, 98]}, {\"cell\": \"+\", \"bbox\": [173, 89, 179, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 89, 197, 98]}, {\"cell\": \"+\", \"bbox\": [212, 89, 218, 98]}, {\"cell\": \"-\", \"bbox\": [237, 89, 241, 98]}, {\"cell\": \"-\", \"bbox\": [258, 89, 262, 98]}, {\"cell\": \"-\", \"bbox\": [277, 89, 281, 98]}, {\"cell\": \"-\", \"bbox\": [296, 89, 300, 98]}, {\"cell\": \"+\", \"bbox\": [317, 89, 324, 98]}, {\"cell\": \"+\", \"bbox\": [346, 89, 353, 98]}, {\"cell\": \"-\", \"bbox\": [378, 89, 382, 98]}, {\"cell\": \"-\", \"bbox\": [408, 89, 412, 98]}, {\"cell\": \"-\", \"bbox\": [439, 89, 443, 98]}, {\"cell\": \"-\", \"bbox\": [469, 89, 473, 98]}, {\"cell\": \"ShlA/HecA/FhaA exoprotein family\", \"bbox\": [1, 101, 114, 110]}, {\"cell\": \"+\", \"bbox\": [149, 101, 156, 110]}, {\"cell\": \"+\", \"bbox\": [173, 101, 179, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 101, 197, 110]}, {\"cell\": \"+\", \"bbox\": [212, 101, 218, 110]}, {\"cell\": \"-\", \"bbox\": [237, 101, 241, 110]}, {\"cell\": \"+\", \"bbox\": [257, 101, 263, 110]}, {\"cell\": \"-\", \"bbox\": [277, 101, 281, 110]}, {\"cell\": \"-\", \"bbox\": [296, 101, 300, 110]}, {\"cell\": \"+\", \"bbox\": [317, 101, 324, 110]}, {\"cell\": \"+\", \"bbox\": [346, 101, 353, 110]}, {\"cell\": \"-\", \"bbox\": [378, 101, 382, 110]}, {\"cell\": \"-\", \"bbox\": [408, 101, 412, 110]}, {\"cell\": \"-\", \"bbox\": [439, 101, 443, 110]}, {\"cell\": \"-\", \"bbox\": [469, 101, 473, 110]}, {\"cell\": \"<b>Toxins</b>\", \"bbox\": [1, 113, 25, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RTX family exoprotein\", \"bbox\": [1, 125, 73, 134]}, {\"cell\": \"+\", \"bbox\": [149, 125, 156, 134]}, {\"cell\": \"+\", \"bbox\": [173, 125, 179, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 125, 195, 134]}, {\"cell\": \"+\", \"bbox\": [212, 125, 218, 134]}, {\"cell\": \"-\", \"bbox\": [237, 125, 241, 134]}, {\"cell\": \"-\", \"bbox\": [258, 125, 262, 134]}, {\"cell\": \"-\", \"bbox\": [277, 125, 281, 134]}, {\"cell\": \"-\", \"bbox\": [296, 125, 300, 134]}, {\"cell\": \"-\", \"bbox\": [319, 125, 323, 134]}, {\"cell\": \"+\", \"bbox\": [346, 125, 353, 134]}, {\"cell\": \"-\", \"bbox\": [378, 125, 382, 134]}, {\"cell\": \"-\", \"bbox\": [408, 125, 412, 134]}, {\"cell\": \"-\", \"bbox\": [439, 125, 443, 134]}, {\"cell\": \"-\", \"bbox\": [469, 125, 473, 134]}, {\"cell\": \"Haemoglobin protease\", \"bbox\": [1, 137, 76, 146]}, {\"cell\": \"+\", \"bbox\": [149, 137, 156, 146]}, {\"cell\": \"+\", \"bbox\": [173, 137, 179, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 137, 197, 146]}, {\"cell\": \"+\", \"bbox\": [212, 137, 218, 146]}, {\"cell\": \"-\", \"bbox\": [237, 137, 241, 146]}, {\"cell\": \"+\", \"bbox\": [257, 137, 263, 146]}, {\"cell\": \"-\", \"bbox\": [277, 137, 281, 146]}, {\"cell\": \"+\", \"bbox\": [295, 137, 302, 146]}, {\"cell\": \"-\", \"bbox\": [319, 137, 323, 146]}, {\"cell\": \"+\", \"bbox\": [346, 137, 353, 146]}, {\"cell\": \"-\", \"bbox\": [378, 137, 382, 146]}, {\"cell\": \"-\", \"bbox\": [408, 137, 412, 146]}, {\"cell\": \"+\", \"bbox\": [437, 137, 444, 146]}, {\"cell\": \"+\", \"bbox\": [468, 137, 474, 146]}, {\"cell\": \"<i>hly</i>\", \"bbox\": [1, 149, 11, 158]}, {\"cell\": \"+\", \"bbox\": [149, 149, 156, 158]}, {\"cell\": \"+\", \"bbox\": [173, 149, 179, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [187, 149, 199, 158]}, {\"cell\": \"+\", \"bbox\": [212, 149, 218, 158]}, {\"cell\": \"+/-\", \"bbox\": [233, 149, 245, 158]}, {\"cell\": \"+/-\", \"bbox\": [254, 149, 266, 158]}, {\"cell\": \"-\", \"bbox\": [277, 149, 281, 158]}, {\"cell\": \"-\", \"bbox\": [296, 149, 300, 158]}, {\"cell\": \"+/-\", \"bbox\": [315, 149, 327, 158]}, {\"cell\": \"+/-\", \"bbox\": [343, 149, 355, 158]}, {\"cell\": \"-\", \"bbox\": [378, 149, 382, 158]}, {\"cell\": \"-\", \"bbox\": [408, 149, 412, 158]}, {\"cell\": \"-\", \"bbox\": [439, 149, 443, 158]}, {\"cell\": \"-\", \"bbox\": [469, 149, 473, 158]}, {\"cell\": \"<i>sat</i>\", \"bbox\": [1, 161, 12, 170]}, {\"cell\": \"+\", \"bbox\": [149, 161, 156, 170]}, {\"cell\": \"+\", \"bbox\": [173, 161, 179, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 161, 195, 170]}, {\"cell\": \"+\", \"bbox\": [212, 161, 218, 170]}, {\"cell\": \"+\", \"bbox\": [235, 161, 242, 170]}, {\"cell\": \"+\", \"bbox\": [257, 161, 263, 170]}, {\"cell\": \"+\", \"bbox\": [276, 161, 282, 170]}, {\"cell\": \"-\", \"bbox\": [296, 161, 300, 170]}, {\"cell\": \"-\", \"bbox\": [319, 161, 323, 170]}, {\"cell\": \"-\", \"bbox\": [347, 161, 351, 170]}, {\"cell\": \"-\", \"bbox\": [378, 161, 382, 170]}, {\"cell\": \"+\", \"bbox\": [407, 161, 414, 170]}, {\"cell\": \"-\", \"bbox\": [439, 161, 443, 170]}, {\"cell\": \"-\", \"bbox\": [469, 161, 473, 170]}, {\"cell\": \"<i>cdt</i>\", \"bbox\": [1, 173, 12, 182]}, {\"cell\": \"-\", \"bbox\": [150, 173, 154, 182]}, {\"cell\": \"-\", \"bbox\": [174, 173, 178, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 173, 195, 182]}, {\"cell\": \"-\", \"bbox\": [213, 173, 217, 182]}, {\"cell\": \"-\", \"bbox\": [237, 173, 241, 182]}, {\"cell\": \"-\", \"bbox\": [258, 173, 262, 182]}, {\"cell\": \"-\", \"bbox\": [277, 173, 281, 182]}, {\"cell\": \"-\", \"bbox\": [296, 173, 300, 182]}, {\"cell\": \"-\", \"bbox\": [319, 173, 323, 182]}, {\"cell\": \"+\", \"bbox\": [346, 173, 353, 182]}, {\"cell\": \"-\", \"bbox\": [378, 173, 382, 182]}, {\"cell\": \"-\", \"bbox\": [408, 173, 412, 182]}, {\"cell\": \"-\", \"bbox\": [439, 173, 443, 182]}, {\"cell\": \"-\", \"bbox\": [469, 173, 473, 182]}, {\"cell\": \"<i>cnf1</i>\", \"bbox\": [1, 185, 15, 194]}, {\"cell\": \"-\", \"bbox\": [150, 185, 154, 194]}, {\"cell\": \"+\", \"bbox\": [173, 185, 179, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 185, 195, 194]}, {\"cell\": \"+\", \"bbox\": [212, 185, 218, 194]}, {\"cell\": \"-\", \"bbox\": [237, 185, 241, 194]}, {\"cell\": \"-\", \"bbox\": [258, 185, 262, 194]}, {\"cell\": \"-\", \"bbox\": [277, 185, 281, 194]}, {\"cell\": \"-\", \"bbox\": [296, 185, 300, 194]}, {\"cell\": \"-\", \"bbox\": [319, 185, 323, 194]}, {\"cell\": \"-\", \"bbox\": [347, 185, 351, 194]}, {\"cell\": \"-\", \"bbox\": [378, 185, 382, 194]}, {\"cell\": \"-\", \"bbox\": [408, 185, 412, 194]}, {\"cell\": \"-\", \"bbox\": [439, 185, 443, 194]}, {\"cell\": \"-\", \"bbox\": [469, 185, 473, 194]}, {\"cell\": \"<b>Nutrition</b>\", \"bbox\": [1, 197, 34, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>iro</i>\", \"bbox\": [1, 208, 10, 218]}, {\"cell\": \"+\", \"bbox\": [149, 208, 156, 218]}, {\"cell\": \"-\", \"bbox\": [174, 208, 178, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 208, 197, 218]}, {\"cell\": \"+\", \"bbox\": [212, 208, 218, 218]}, {\"cell\": \"-\", \"bbox\": [237, 208, 241, 218]}, {\"cell\": \"+\", \"bbox\": [257, 208, 263, 218]}, {\"cell\": \"+/-\", \"bbox\": [273, 208, 285, 218]}, {\"cell\": \"+/-\", \"bbox\": [292, 208, 304, 218]}, {\"cell\": \"-\", \"bbox\": [319, 208, 323, 218]}, {\"cell\": \"+\", \"bbox\": [346, 208, 353, 218]}, {\"cell\": \"-\", \"bbox\": [378, 208, 382, 218]}, {\"cell\": \"-\", \"bbox\": [408, 208, 412, 218]}, {\"cell\": \"+\", \"bbox\": [437, 208, 444, 218]}, {\"cell\": \"+\", \"bbox\": [468, 208, 474, 218]}, {\"cell\": \"<i>pgt</i>\", \"bbox\": [1, 220, 13, 230]}, {\"cell\": \"+\", \"bbox\": [149, 220, 156, 230]}, {\"cell\": \"+/-\", \"bbox\": [170, 220, 182, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 220, 195, 230]}, {\"cell\": \"-\", \"bbox\": [213, 220, 217, 230]}, {\"cell\": \"-\", \"bbox\": [237, 220, 241, 230]}, {\"cell\": \"-\", \"bbox\": [258, 220, 262, 230]}, {\"cell\": \"+/-\", \"bbox\": [273, 220, 285, 230]}, {\"cell\": \"+/-\", \"bbox\": [292, 220, 304, 230]}, {\"cell\": \"-\", \"bbox\": [319, 220, 323, 230]}, {\"cell\": \"-\", \"bbox\": [347, 220, 351, 230]}, {\"cell\": \"-\", \"bbox\": [378, 220, 382, 230]}, {\"cell\": \"-\", \"bbox\": [408, 220, 412, 230]}, {\"cell\": \"+\", \"bbox\": [437, 220, 444, 230]}, {\"cell\": \"+\", \"bbox\": [468, 220, 474, 230]}, {\"cell\": \"<b>Other</b>\", \"bbox\": [1, 232, 22, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>tcpC</i>\", \"bbox\": [1, 244, 16, 254]}, {\"cell\": \"+\", \"bbox\": [149, 244, 156, 254]}, {\"cell\": \"-\", \"bbox\": [174, 244, 178, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 244, 195, 254]}, {\"cell\": \"+\", \"bbox\": [212, 244, 218, 254]}, {\"cell\": \"-\", \"bbox\": [237, 244, 241, 254]}, {\"cell\": \"-\", \"bbox\": [258, 244, 262, 254]}, {\"cell\": \"-\", \"bbox\": [277, 244, 281, 254]}, {\"cell\": \"-\", \"bbox\": [296, 244, 300, 254]}, {\"cell\": \"-\", \"bbox\": [319, 244, 323, 254]}, {\"cell\": \"-\", \"bbox\": [347, 244, 351, 254]}, {\"cell\": \"-\", \"bbox\": [378, 244, 382, 254]}, {\"cell\": \"-\", \"bbox\": [408, 244, 412, 254]}, {\"cell\": \"-\", \"bbox\": [439, 244, 443, 254]}, {\"cell\": \"-\", \"bbox\": [469, 244, 473, 254]}, {\"cell\": \"<i>shiA homolog</i>\", \"bbox\": [1, 256, 46, 266]}, {\"cell\": \"+\", \"bbox\": [149, 256, 156, 266]}, {\"cell\": \"+\", \"bbox\": [173, 256, 179, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 256, 195, 266]}, {\"cell\": \"+\", \"bbox\": [212, 256, 218, 266]}, {\"cell\": \"+\", \"bbox\": [235, 256, 242, 266]}, {\"cell\": \"+\", \"bbox\": [257, 256, 263, 266]}, {\"cell\": \"+\", \"bbox\": [276, 256, 282, 266]}, {\"cell\": \"+\", \"bbox\": [295, 256, 302, 266]}, {\"cell\": \"+\", \"bbox\": [317, 256, 324, 266]}, {\"cell\": \"-\", \"bbox\": [347, 256, 351, 266]}, {\"cell\": \"+\", \"bbox\": [376, 256, 383, 266]}, {\"cell\": \"+\", \"bbox\": [407, 256, 414, 266]}, {\"cell\": \"+\", \"bbox\": [437, 256, 444, 266]}, {\"cell\": \"+\", \"bbox\": [468, 256, 474, 266]}, {\"cell\": \"<i>pntC</i>\", \"bbox\": [1, 268, 17, 278]}, {\"cell\": \"-\", \"bbox\": [150, 268, 154, 278]}, {\"cell\": \"-\", \"bbox\": [174, 268, 178, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 268, 197, 278]}, {\"cell\": \"-\", \"bbox\": [213, 268, 217, 278]}, {\"cell\": \"-\", \"bbox\": [237, 268, 241, 278]}, {\"cell\": \"-\", \"bbox\": [258, 268, 262, 278]}, {\"cell\": \"-\", \"bbox\": [277, 268, 281, 278]}, {\"cell\": \"-\", \"bbox\": [296, 268, 300, 278]}, {\"cell\": \"-\", \"bbox\": [319, 268, 323, 278]}, {\"cell\": \"-\", \"bbox\": [347, 268, 351, 278]}, {\"cell\": \"-\", \"bbox\": [378, 268, 382, 278]}, {\"cell\": \"-\", \"bbox\": [408, 268, 412, 278]}, {\"cell\": \"-\", \"bbox\": [439, 268, 443, 278]}, {\"cell\": \"-\", \"bbox\": [469, 268, 473, 278]}, {\"cell\": \"<i>ibeA</i>\", \"bbox\": [1, 280, 16, 290]}, {\"cell\": \"-\", \"bbox\": [150, 280, 154, 290]}, {\"cell\": \"-\", \"bbox\": [174, 280, 178, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 280, 197, 290]}, {\"cell\": \"-\", \"bbox\": [213, 280, 217, 290]}, {\"cell\": \"-\", \"bbox\": [237, 280, 241, 290]}, {\"cell\": \"-\", \"bbox\": [258, 280, 262, 290]}, {\"cell\": \"-\", \"bbox\": [277, 280, 281, 290]}, {\"cell\": \"-\", \"bbox\": [296, 280, 300, 290]}, {\"cell\": \"-\", \"bbox\": [319, 280, 323, 290]}, {\"cell\": \"-\", \"bbox\": [347, 280, 351, 290]}, {\"cell\": \"-\", \"bbox\": [378, 280, 382, 290]}, {\"cell\": \"-\", \"bbox\": [408, 280, 412, 290]}, {\"cell\": \"-\", \"bbox\": [439, 280, 443, 290]}, {\"cell\": \"-\", \"bbox\": [469, 280, 473, 290]}, {\"cell\": \"K1 capsule genes\", \"bbox\": [1, 292, 58, 302]}, {\"cell\": \"-\", \"bbox\": [150, 292, 154, 302]}, {\"cell\": \"-\", \"bbox\": [174, 292, 178, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 292, 195, 302]}, {\"cell\": \"-\", \"bbox\": [213, 292, 217, 302]}, {\"cell\": \"-\", \"bbox\": [237, 292, 241, 302]}, {\"cell\": \"-\", \"bbox\": [258, 292, 262, 302]}, {\"cell\": \"-\", \"bbox\": [277, 292, 281, 302]}, {\"cell\": \"+\", \"bbox\": [295, 292, 302, 302]}, {\"cell\": \"-\", \"bbox\": [319, 292, 323, 302]}, {\"cell\": \"-\", \"bbox\": [347, 292, 351, 302]}, {\"cell\": \"-\", \"bbox\": [378, 292, 382, 302]}, {\"cell\": \"-\", \"bbox\": [408, 292, 412, 302]}, {\"cell\": \"+\", \"bbox\": [437, 292, 444, 302]}, {\"cell\": \"+\", \"bbox\": [468, 292, 474, 302]}, {\"cell\": \"K2 capsule genes\", \"bbox\": [1, 304, 58, 314]}, {\"cell\": \"+\", \"bbox\": [149, 304, 156, 314]}, {\"cell\": \"+\", \"bbox\": [173, 304, 179, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 304, 195, 314]}, {\"cell\": \"+\", \"bbox\": [212, 304, 218, 314]}, {\"cell\": \"-\", \"bbox\": [237, 304, 241, 314]}, {\"cell\": \"-\", \"bbox\": [258, 304, 262, 314]}, {\"cell\": \"-\", \"bbox\": [277, 304, 281, 314]}, {\"cell\": \"-\", \"bbox\": [296, 304, 300, 314]}, {\"cell\": \"-\", \"bbox\": [319, 304, 323, 314]}, {\"cell\": \"-\", \"bbox\": [347, 304, 351, 314]}, {\"cell\": \"-\", \"bbox\": [378, 304, 382, 314]}, {\"cell\": \"-\", \"bbox\": [408, 304, 412, 314]}, {\"cell\": \"-\", \"bbox\": [439, 304, 443, 314]}, {\"cell\": \"-\", \"bbox\": [469, 304, 473, 314]}, {\"cell\": \"K15 capsule genes\", \"bbox\": [1, 316, 62, 326]}, {\"cell\": \"-\", \"bbox\": [150, 316, 154, 326]}, {\"cell\": \"-\", \"bbox\": [174, 316, 178, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 316, 195, 326]}, {\"cell\": \"-\", \"bbox\": [213, 316, 217, 326]}, {\"cell\": \"-\", \"bbox\": [237, 316, 241, 326]}, {\"cell\": \"-\", \"bbox\": [258, 316, 262, 326]}, {\"cell\": \"-\", \"bbox\": [277, 316, 281, 326]}, {\"cell\": \"-\", \"bbox\": [296, 316, 300, 326]}, {\"cell\": \"-\", \"bbox\": [319, 316, 323, 326]}, {\"cell\": \"-\", \"bbox\": [347, 316, 351, 326]}, {\"cell\": \"-\", \"bbox\": [378, 316, 382, 326]}, {\"cell\": \"-\", \"bbox\": [408, 316, 412, 326]}, {\"cell\": \"-\", \"bbox\": [439, 316, 443, 326]}, {\"cell\": \"-\", \"bbox\": [469, 316, 473, 326]}, {\"cell\": \"putative FMN-dependent dehydrogenase\", \"bbox\": [1, 328, 83, 346]}, {\"cell\": \"-\", \"bbox\": [150, 328, 154, 338]}, {\"cell\": \"+\", \"bbox\": [173, 328, 179, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 328, 195, 338]}, {\"cell\": \"+\", \"bbox\": [212, 328, 218, 338]}, {\"cell\": \"-\", \"bbox\": [237, 328, 241, 338]}, {\"cell\": \"-\", \"bbox\": [258, 328, 262, 338]}, {\"cell\": \"-\", \"bbox\": [277, 328, 281, 338]}, {\"cell\": \"-\", \"bbox\": [296, 328, 300, 338]}, {\"cell\": \"-\", \"bbox\": [319, 328, 323, 338]}, {\"cell\": \"-\", \"bbox\": [347, 328, 351, 338]}, {\"cell\": \"-\", \"bbox\": [378, 328, 382, 338]}, {\"cell\": \"-\", \"bbox\": [408, 328, 412, 338]}, {\"cell\": \"-\", \"bbox\": [439, 328, 443, 338]}, {\"cell\": \"-\", \"bbox\": [469, 328, 473, 338]}, {\"cell\": \"PAI-CFT073-<i>asnW </i>(pks)\", \"bbox\": [1, 349, 75, 358]}, {\"cell\": \"+\", \"bbox\": [149, 349, 156, 358]}, {\"cell\": \"+\", \"bbox\": [173, 349, 179, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 349, 195, 358]}, {\"cell\": \"+\", \"bbox\": [212, 349, 218, 358]}, {\"cell\": \"+/-\", \"bbox\": [233, 349, 245, 358]}, {\"cell\": \"+\", \"bbox\": [257, 349, 263, 358]}, {\"cell\": \"+/-\", \"bbox\": [273, 349, 285, 358]}, {\"cell\": \"-\", \"bbox\": [296, 349, 300, 358]}, {\"cell\": \"+/-\", \"bbox\": [315, 349, 327, 358]}, {\"cell\": \"+\", \"bbox\": [346, 349, 353, 358]}, {\"cell\": \"-\", \"bbox\": [378, 349, 382, 358]}, {\"cell\": \"-\", \"bbox\": [408, 349, 412, 358]}, {\"cell\": \"-\", \"bbox\": [439, 349, 443, 358]}, {\"cell\": \"-\", \"bbox\": [469, 349, 473, 358]}, {\"cell\": \"GimB island\", \"bbox\": [1, 361, 40, 370]}, {\"cell\": \"-\", \"bbox\": [150, 361, 154, 370]}, {\"cell\": \"-\", \"bbox\": [174, 361, 178, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 361, 195, 370]}, {\"cell\": \"-\", \"bbox\": [213, 361, 217, 370]}, {\"cell\": \"-\", \"bbox\": [237, 361, 241, 370]}, {\"cell\": \"-\", \"bbox\": [258, 361, 262, 370]}, {\"cell\": \"-\", \"bbox\": [277, 361, 281, 370]}, {\"cell\": \"+\", \"bbox\": [295, 361, 302, 370]}, {\"cell\": \"-\", \"bbox\": [319, 361, 323, 370]}, {\"cell\": \"-\", \"bbox\": [347, 361, 351, 370]}, {\"cell\": \"-\", \"bbox\": [378, 361, 382, 370]}, {\"cell\": \"-\", \"bbox\": [408, 361, 412, 370]}, {\"cell\": \"+\", \"bbox\": [437, 361, 444, 370]}, {\"cell\": \"+\", \"bbox\": [468, 361, 474, 370]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3155842_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}371{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Parameters</b></td><td><b>Preoperative data(mean ± SD)</b></td><td><b>Postoperative 36th month data (mean ± SD)</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Mean K reading average (D)</td><td>50.63 ± 0.87</td><td>45.56 ± 0.98</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean K1 reading</td><td>46.94 ± 0.26</td><td>46.45 ± 0.98</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean K2 reading</td><td>54.38 ± 1.17</td><td>47.39 ± 0.62</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean corneal thickness at thinnest location (μm)</td><td>471 ± 92.36</td><td>423 ± 39.85</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean postoperative myopic correction (D)</td><td>—</td><td>0.97 ± 0.28</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean astigmatism (D)</td><td>7.55 ± 1.75</td><td>3.39 ± 1.26</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean postoperative astigmatic correction (D)</td><td>—</td><td>3.8 ± 1.67</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean UCVA (logMAR)</td><td>1.30 ± 0.48</td><td>0.82 ± 0.22</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean BCVA (logMAR)</td><td>0.90 ± 0.40</td><td>0.60 ± 0.30</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameters</b>\", \"bbox\": [2, 9, 45, 20]}, {\"cell\": \"<b>Preoperative data(mean ± SD)</b>\", \"bbox\": [225, 4, 290, 25]}, {\"cell\": \"<b>Postoperative 36th month data (mean ± SD)</b>\", \"bbox\": [333, 4, 429, 25]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [472, 9, 501, 20]}, {\"cell\": \"Mean K reading average (D)\", \"bbox\": [2, 28, 107, 39]}, {\"cell\": \"50.63 ± 0.87\", \"bbox\": [236, 28, 280, 39]}, {\"cell\": \"45.56 ± 0.98\", \"bbox\": [359, 28, 403, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 28, 497, 39]}, {\"cell\": \"Mean K1 reading\", \"bbox\": [2, 41, 67, 52]}, {\"cell\": \"46.94 ± 0.26\", \"bbox\": [236, 41, 280, 52]}, {\"cell\": \"46.45 ± 0.98\", \"bbox\": [359, 41, 403, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 41, 497, 52]}, {\"cell\": \"Mean K2 reading\", \"bbox\": [2, 54, 67, 65]}, {\"cell\": \"54.38 ± 1.17\", \"bbox\": [236, 54, 280, 65]}, {\"cell\": \"47.39 ± 0.62\", \"bbox\": [359, 54, 403, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 54, 497, 65]}, {\"cell\": \"Mean corneal thickness at thinnest location (μm)\", \"bbox\": [3, 67, 182, 78]}, {\"cell\": \"471 ± 92.36\", \"bbox\": [237, 67, 279, 78]}, {\"cell\": \"423 ± 39.85\", \"bbox\": [360, 67, 402, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 67, 497, 78]}, {\"cell\": \"Mean postoperative myopic correction (D)\", \"bbox\": [3, 80, 159, 91]}, {\"cell\": \"—\", \"bbox\": [253, 85, 263, 89]}, {\"cell\": \"0.97 ± 0.28\", \"bbox\": [361, 80, 401, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean astigmatism (D)\", \"bbox\": [3, 93, 86, 104]}, {\"cell\": \"7.55 ± 1.75\", \"bbox\": [238, 93, 278, 104]}, {\"cell\": \"3.39 ± 1.26\", \"bbox\": [361, 93, 401, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 93, 497, 104]}, {\"cell\": \"Mean postoperative astigmatic correction (D)\", \"bbox\": [3, 106, 169, 117]}, {\"cell\": \"—\", \"bbox\": [253, 111, 263, 115]}, {\"cell\": \"3.8 ± 1.67\", \"bbox\": [363, 106, 399, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean UCVA (logMAR)\", \"bbox\": [3, 119, 92, 130]}, {\"cell\": \"1.30 ± 0.48\", \"bbox\": [238, 119, 278, 130]}, {\"cell\": \"0.82 ± 0.22\", \"bbox\": [361, 119, 401, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 119, 497, 130]}, {\"cell\": \"Mean BCVA (logMAR)\", \"bbox\": [3, 132, 90, 143]}, {\"cell\": \"0.90 ± 0.40\", \"bbox\": [238, 132, 278, 143]}, {\"cell\": \"0.60 ± 0.30\", \"bbox\": [361, 132, 401, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 132, 497, 143]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5822772_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}372{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Year</b></td><td colspan=\\\"2\\\"><b>Disability-Adjusted Life Years*</b></td></tr></thead><tbody><tr><td><b>2000</b></td><td>CHD deaths</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident non-fatal MI</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident angina</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident heart failure</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>YLL</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>YLD</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>DALYs</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>DALYs per 1,000 persons</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>2010</b></td><td>CHD deaths</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident non-fatal MI</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident angina</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident heart failure</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>YLL</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>YLD</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>DALY</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>DALYs per 1,000 persons</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>2020</b></td><td>CHD deaths</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident non-fatal MI</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident angina</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident heart failure</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>YLL</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>YLD</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>DALY</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>DALYs per 1,000 persons</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>2030</b></td><td>CHD deaths</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident non-fatal MI</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident angina</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Incident heart failure</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>YLL</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>YLD</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>DALY</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>DALYs per 1,000 persons</b></td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Year</b>\", \"bbox\": [5, 5, 25, 14]}, {\"cell\": \"<b>Disability-Adjusted Life Years*</b>\", \"bbox\": [80, 5, 200, 14]}, {\"cell\": \"<b>2000</b>\", \"bbox\": [5, 27, 25, 36]}, {\"cell\": \"CHD deaths\", \"bbox\": [40, 27, 84, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 27, 240, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident non-fatal MI\", \"bbox\": [40, 37, 111, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 37, 240, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident angina\", \"bbox\": [40, 47, 91, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 47, 240, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident heart failure\", \"bbox\": [40, 57, 111, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 57, 240, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLL\", \"bbox\": [40, 68, 55, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 68, 240, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLD\", \"bbox\": [40, 78, 57, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 78, 240, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DALYs</b>\", \"bbox\": [40, 88, 69, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 88, 240, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DALYs per 1,000 persons</b>\", \"bbox\": [40, 99, 139, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 99, 240, 108]}, {\"cell\": \"<b>2010</b>\", \"bbox\": [5, 121, 25, 130]}, {\"cell\": \"CHD deaths\", \"bbox\": [40, 121, 84, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 121, 240, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident non-fatal MI\", \"bbox\": [40, 131, 111, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 131, 240, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident angina\", \"bbox\": [40, 141, 91, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 141, 240, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident heart failure\", \"bbox\": [40, 151, 111, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 151, 240, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLL\", \"bbox\": [40, 162, 55, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 162, 240, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLD\", \"bbox\": [40, 172, 57, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 172, 240, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DALY</b>\", \"bbox\": [40, 182, 66, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 182, 240, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DALYs per 1,000 persons</b>\", \"bbox\": [40, 193, 139, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 193, 240, 202]}, {\"cell\": \"<b>2020</b>\", \"bbox\": [5, 215, 25, 224]}, {\"cell\": \"CHD deaths\", \"bbox\": [40, 215, 84, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 215, 240, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident non-fatal MI\", \"bbox\": [40, 225, 111, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 225, 240, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident angina\", \"bbox\": [40, 235, 91, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 235, 240, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident heart failure\", \"bbox\": [40, 245, 111, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 245, 240, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLL\", \"bbox\": [40, 256, 55, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 256, 240, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLD\", \"bbox\": [40, 266, 57, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 266, 240, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DALY</b>\", \"bbox\": [40, 276, 66, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 276, 240, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DALYs per 1,000 persons</b>\", \"bbox\": [40, 287, 139, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 287, 240, 296]}, {\"cell\": \"<b>2030</b>\", \"bbox\": [5, 309, 25, 318]}, {\"cell\": \"CHD deaths\", \"bbox\": [40, 309, 84, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 309, 240, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident non-fatal MI\", \"bbox\": [40, 319, 111, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 319, 240, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident angina\", \"bbox\": [40, 329, 91, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 329, 240, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Incident heart failure\", \"bbox\": [40, 339, 111, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 339, 240, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLL\", \"bbox\": [40, 350, 55, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 350, 240, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"YLD\", \"bbox\": [40, 360, 57, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 360, 240, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DALY</b>\", \"bbox\": [40, 370, 66, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 370, 240, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DALYs per 1,000 persons</b>\", \"bbox\": [40, 381, 139, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 381, 240, 390]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2631484_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}373{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Method</b></td><td><b>Code</b></td><td><b>Approach</b></td></tr></thead><tbody><tr><td>PowerSoil DNA Isolation Kit, MoBio Laboratories</td><td>C1</td><td>[EMPTY_CELL]</td></tr><tr><td>FastDNA Spin Kit for Soil, Qubiogene</td><td>C2</td><td>[EMPTY_CELL]</td></tr><tr><td>Miller <i>et al.</i>(1999)</td><td>M</td><td>[EMPTY_CELL]</td></tr><tr><td>Schmidt <i>et al.</i>(1991)</td><td>S</td><td>[EMPTY_CELL]</td></tr><tr><td>Zhou <i>et al.</i>(1996)</td><td>Z</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Method</b>\", \"bbox\": [9, 3, 37, 13]}, {\"cell\": \"<b>Code</b>\", \"bbox\": [170, 3, 189, 13]}, {\"cell\": \"<b>Approach</b>\", \"bbox\": [339, 3, 374, 13]}, {\"cell\": \"PowerSoil DNA Isolation Kit, MoBio Laboratories\", \"bbox\": [9, 17, 140, 35]}, {\"cell\": \"C1\", \"bbox\": [174, 17, 185, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 17, 503, 35]}, {\"cell\": \"FastDNA Spin Kit for Soil, Qubiogene\", \"bbox\": [9, 37, 143, 47]}, {\"cell\": \"C2\", \"bbox\": [174, 37, 185, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 37, 503, 56]}, {\"cell\": \"Miller <i>et al.</i>(1999)\", \"bbox\": [9, 58, 76, 68]}, {\"cell\": \"M\", \"bbox\": [175, 58, 184, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 58, 492, 76]}, {\"cell\": \"Schmidt <i>et al.</i>(1991)\", \"bbox\": [9, 78, 83, 88]}, {\"cell\": \"S\", \"bbox\": [176, 78, 183, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 78, 501, 114]}, {\"cell\": \"Zhou <i>et al.</i>(1996)\", \"bbox\": [9, 116, 72, 126]}, {\"cell\": \"Z\", \"bbox\": [176, 116, 183, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 116, 495, 134]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4036026_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}374{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Features of the intervention</b></td><td><b>Description</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Psycho-education, Cognitive Behavioural Therapy techniques, such as healthy thinking adapted from the Thinking Healthy programme by Atif Rahman, and Behaviour Activation.</td></tr><tr><td>[EMPTY_CELL]</td><td>Manual based individual therapy and psycho-social support provided over6–8 clinic based sessions.Session 1: Psycho-education on depressionSession 2: Problem solvingSession 3: Behaviour ActivationSession 4: Healthy thinkingSession 5: Psycho-education on birth preparation and Relaxation.Session 6: Termination and evaluation</td></tr><tr><td>[EMPTY_CELL]</td><td>3 step process in all the sessionsStep 1: Introduction – greeting and follow up on issues from previous meeting or session, or homework discussion.Step 2: Exploration – discussion of purpose of the session and topic, probing and clarification of issuesStep 3: Termination - homework, follow up date and termination</td></tr><tr><td>[EMPTY_CELL]</td><td>Counselling manual, voice recorder, relaxation CD, activity workbook and resource list for participants.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Features of the intervention</b>\", \"bbox\": [1, 4, 51, 22]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [70, 4, 108, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 55, 36]}, {\"cell\": \"Psycho-education, Cognitive Behavioural Therapy techniques, such as healthy thinking adapted from the Thinking Healthy programme by Atif Rahman, and Behaviour Activation.\", \"bbox\": [70, 26, 235, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 67, 53, 86]}, {\"cell\": \"Manual based individual therapy and psycho-social support provided over6–8 clinic based sessions.Session 1: Psycho-education on depressionSession 2: Problem solvingSession 3: Behaviour ActivationSession 4: Healthy thinkingSession 5: Psycho-education on birth preparation and Relaxation.Session 6: Termination and evaluation\", \"bbox\": [70, 67, 236, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 162, 53, 181]}, {\"cell\": \"3 step process in all the sessionsStep 1: Introduction – greeting and follow up on issues from previous meeting or session, or homework discussion.Step 2: Exploration – discussion of purpose of the session and topic, probing and clarification of issuesStep 3: Termination - homework, follow up date and termination\", \"bbox\": [70, 162, 233, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 19, 249]}, {\"cell\": \"Counselling manual, voice recorder, relaxation CD, activity workbook and resource list for participants.\", \"bbox\": [70, 239, 235, 258]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4881204_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}375{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Multivariate analysis</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>OR</b></td><td><b>95% CI</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td><b>Woman’s age (years)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001*</td></tr><tr><td> < 30</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 30-34</td><td>[EMPTY_CELL]</td><td>1.21-1.77</td><td>[EMPTY_CELL]</td></tr><tr><td> 35-39</td><td>[EMPTY_CELL]</td><td>1.23-1.83</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥ 40</td><td>[EMPTY_CELL]</td><td>1.33-2.15</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Inclusion center</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> Marseille</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Bois-Guillaume</td><td>[EMPTY_CELL]</td><td>0.63-0.97</td><td>[EMPTY_CELL]</td></tr><tr><td> Sèvres</td><td>[EMPTY_CELL]</td><td>0.83-1.37</td><td>[EMPTY_CELL]</td></tr><tr><td> Besançon</td><td>[EMPTY_CELL]</td><td>0.76-1.30</td><td>[EMPTY_CELL]</td></tr><tr><td> Caen</td><td>[EMPTY_CELL]</td><td>1.40-2.41</td><td>[EMPTY_CELL]</td></tr><tr><td> Cochin</td><td>[EMPTY_CELL]</td><td>0.82-1.39</td><td>[EMPTY_CELL]</td></tr><tr><td> Clermont-Ferrand</td><td>[EMPTY_CELL]</td><td>0.89-1.56</td><td>[EMPTY_CELL]</td></tr><tr><td> Montsouris</td><td>[EMPTY_CELL]</td><td>1.18-2.05</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Year of 1</b>st <b>oocyte retrieval</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001*</td></tr><tr><td> 2000</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 2001</td><td>[EMPTY_CELL]</td><td>0.94-1.35</td><td>[EMPTY_CELL]</td></tr><tr><td> 2002</td><td>[EMPTY_CELL]</td><td>1.19-1.72</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Origin of infertility</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.206</td></tr><tr><td> Female</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>[EMPTY_CELL]</td><td>0.97-1.23</td><td>[EMPTY_CELL]</td></tr><tr><td> Couple</td><td>[EMPTY_CELL]</td><td>0.74-1.09</td><td>[EMPTY_CELL]</td></tr><tr><td> Unexplained</td><td>[EMPTY_CELL]</td><td>0.67-1.04</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Number of embryos obtained at 1st</b><b>attempt</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.009*</td></tr><tr><td> 0-1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 2-5</td><td>[EMPTY_CELL]</td><td>0.93-1.31</td><td>[EMPTY_CELL]</td></tr><tr><td> > 5</td><td>[EMPTY_CELL]</td><td>1.06-1.55</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Number of attempts</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001*</td></tr><tr><td> 1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 2-4</td><td>[EMPTY_CELL]</td><td>1.37-1.84</td><td>[EMPTY_CELL]</td></tr><tr><td> >4</td><td>[EMPTY_CELL]</td><td>2.78-5.08</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Multivariate analysis</b>\", \"bbox\": [144, 4, 217, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>OR</b>\", \"bbox\": [124, 17, 136, 27]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [158, 17, 184, 27]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [207, 17, 213, 25]}, {\"cell\": \"<b>Woman’s age (years)</b>\", \"bbox\": [1, 30, 75, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001*\", \"bbox\": [207, 30, 235, 40]}, {\"cell\": \" < 30\", \"bbox\": [3, 44, 21, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 44, 130, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 30-34\", \"bbox\": [3, 58, 23, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 58, 139, 68]}, {\"cell\": \"1.21-1.77\", \"bbox\": [158, 58, 188, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 35-39\", \"bbox\": [3, 72, 23, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 72, 139, 82]}, {\"cell\": \"1.23-1.83\", \"bbox\": [158, 72, 188, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥ 40\", \"bbox\": [3, 86, 20, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 86, 139, 96]}, {\"cell\": \"1.33-2.15\", \"bbox\": [158, 86, 188, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Inclusion center</b>\", \"bbox\": [1, 100, 58, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [207, 100, 232, 110]}, {\"cell\": \" Marseille\", \"bbox\": [3, 114, 33, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 114, 130, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Bois-Guillaume\", \"bbox\": [3, 128, 52, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 128, 139, 138]}, {\"cell\": \"0.63-0.97\", \"bbox\": [158, 128, 188, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Sèvres\", \"bbox\": [3, 142, 25, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 142, 139, 152]}, {\"cell\": \"0.83-1.37\", \"bbox\": [158, 142, 188, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Besançon\", \"bbox\": [3, 156, 35, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 156, 139, 166]}, {\"cell\": \"0.76-1.30\", \"bbox\": [158, 156, 188, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Caen\", \"bbox\": [3, 170, 21, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 170, 139, 180]}, {\"cell\": \"1.40-2.41\", \"bbox\": [158, 170, 188, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Cochin\", \"bbox\": [3, 184, 27, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 184, 139, 193]}, {\"cell\": \"0.82-1.39\", \"bbox\": [158, 184, 188, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Clermont-Ferrand\", \"bbox\": [3, 198, 61, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 198, 139, 207]}, {\"cell\": \"0.89-1.56\", \"bbox\": [158, 198, 188, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Montsouris\", \"bbox\": [3, 212, 40, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 212, 139, 221]}, {\"cell\": \"1.18-2.05\", \"bbox\": [158, 212, 188, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Year of 1</b>st <b>oocyte retrieval</b>\", \"bbox\": [1, 226, 96, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001*\", \"bbox\": [207, 226, 235, 236]}, {\"cell\": \" 2000\", \"bbox\": [3, 240, 20, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 240, 130, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2001\", \"bbox\": [3, 254, 20, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 254, 139, 264]}, {\"cell\": \"0.94-1.35\", \"bbox\": [158, 254, 188, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2002\", \"bbox\": [3, 268, 20, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 268, 139, 278]}, {\"cell\": \"1.19-1.72\", \"bbox\": [158, 268, 188, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Origin of infertility</b>\", \"bbox\": [1, 282, 67, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.206\", \"bbox\": [207, 282, 226, 292]}, {\"cell\": \" Female\", \"bbox\": [3, 296, 28, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 296, 130, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [3, 310, 20, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 310, 139, 320]}, {\"cell\": \"0.97-1.23\", \"bbox\": [158, 310, 188, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Couple\", \"bbox\": [3, 324, 28, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 324, 139, 334]}, {\"cell\": \"0.74-1.09\", \"bbox\": [158, 324, 188, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Unexplained\", \"bbox\": [3, 338, 45, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 338, 139, 348]}, {\"cell\": \"0.67-1.04\", \"bbox\": [158, 338, 188, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of embryos obtained at 1st</b><b>attempt</b>\", \"bbox\": [1, 352, 106, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.009*\", \"bbox\": [207, 352, 229, 362]}, {\"cell\": \" 0-1\", \"bbox\": [3, 375, 15, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 375, 130, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2-5\", \"bbox\": [3, 389, 15, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 389, 139, 398]}, {\"cell\": \"0.93-1.31\", \"bbox\": [158, 389, 188, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" > 5\", \"bbox\": [3, 403, 17, 412]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 403, 139, 412]}, {\"cell\": \"1.06-1.55\", \"bbox\": [158, 403, 188, 412]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of attempts</b>\", \"bbox\": [1, 417, 73, 427]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001*\", \"bbox\": [207, 417, 235, 426]}, {\"cell\": \" 1\", \"bbox\": [3, 431, 9, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 431, 130, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2-4\", \"bbox\": [3, 445, 15, 455]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 445, 139, 455]}, {\"cell\": \"1.37-1.84\", \"bbox\": [158, 445, 188, 455]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >4\", \"bbox\": [3, 459, 15, 469]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [124, 459, 139, 469]}, {\"cell\": \"2.78-5.08\", \"bbox\": [158, 459, 188, 469]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3489673_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}376{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Inattentivetype(N = 15)</b></td><td><b>Hyperactive-impulsive type(N = 11)</b></td><td><b>Combinedtype(N = 24)</b></td><td><b>Teststatistic</b></td><td><b><i>P </i>value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>n(%)</b></td><td><b>n(%)</b></td><td><b>n(%)</b></td><td>[EMPTY_CELL]</td><td>0.282</td></tr><tr><td>[EMPTY_CELL]</td><td>10 (66.7)</td><td>9 (81.8)</td><td>21 (87.5)</td><td>2.53</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5 (33.3)</td><td>2 (18.2)</td><td>3 (12.5)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Mean(SD)</b></td><td><b>Mean(SD)</b></td><td><b>Mean(SD)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8.1 (1.8)</td><td>7.5 (1.6)</td><td>7.3 (1.5)</td><td>1.13</td><td>0.332</td></tr><tr><td>[EMPTY_CELL]</td><td>130.5 (10.9)</td><td>127.8 (9.7)</td><td>126.5 (8.4)</td><td>0.82</td><td>0.445</td></tr><tr><td>[EMPTY_CELL]</td><td>29.5 (7.5)</td><td>27.7 (7.0)</td><td>26.7 (6.2)</td><td>0.77</td><td>0.467</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>69.0 (12.4)</td><td>61.6 (8.2)</td><td>66.7 (8.3)</td><td>1.94</td><td>0.155</td></tr><tr><td>[EMPTY_CELL]</td><td>63.3 (10.3)</td><td>64.6 (7.4)</td><td>59.3 (8.6)</td><td>1.69</td><td>0.196</td></tr><tr><td>[EMPTY_CELL]</td><td>65. 7(11.9)</td><td>61.1 (9.8)</td><td>61.8 (10.9)</td><td>0.74</td><td>0.485</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>17.3 (3.8)</td><td>14.9 (4.4)</td><td>17.5 (4.2)</td><td>1.60</td><td>0.212</td></tr><tr><td>[EMPTY_CELL]</td><td>13.3 (5.8)</td><td>17.5 (4.7)</td><td>17.5 (4.6)</td><td>3.77</td><td><b>0.030</b></td></tr><tr><td>[EMPTY_CELL]</td><td>11.3 (5.8)</td><td>12.0 (4.8)</td><td>9.6 (4.4)</td><td>1.06</td><td>0.355</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>30.8 (4.5)</td><td>31.8 (5.4)</td><td>34.3 (5.7)</td><td>2.17</td><td>0.125</td></tr><tr><td>[EMPTY_CELL]</td><td>16.5 (2.3)</td><td>12.7 (3.1)</td><td>17.9 (3.3)</td><td>11.11</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>14.3 (3.8)</td><td>19.2 (3.2)</td><td>16.4 (4.2)</td><td>4.88</td><td><b>0.012</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>53.7 (21.6)</td><td>58.3 (16.5)</td><td>63.4 (24.0)</td><td>0.91</td><td>0.408</td></tr><tr><td>[EMPTY_CELL]</td><td>53.4 (10.3)</td><td>53.3 (10.7)</td><td>63.7 (30.4)</td><td>1.32</td><td>0.277</td></tr><tr><td>[EMPTY_CELL]</td><td>46.4 (10.5)</td><td>47.4 (12.7)</td><td>48.3 (10.8)</td><td>0.13</td><td>0.877</td></tr><tr><td>[EMPTY_CELL]</td><td>57.6 (13.3)</td><td>52.9 (9.9)</td><td>58.7 (15.2)</td><td>0.70</td><td>0.502</td></tr><tr><td>[EMPTY_CELL]</td><td>54.3 (10.4)</td><td>54.8 (8.8)</td><td>60.5 (12.6)</td><td>1.78</td><td>0.181</td></tr><tr><td>[EMPTY_CELL]</td><td>53.1 (8.9)</td><td>54.4 (8.9)</td><td>58.4 (10.7)</td><td>1.52</td><td>0.230</td></tr><tr><td>[EMPTY_CELL]</td><td>47.9 (8.7)</td><td>50.4 (13.2)</td><td>51.0 (8.2)</td><td>0.48</td><td>0.623</td></tr><tr><td>[EMPTY_CELL]</td><td>50.7 (11.7)</td><td>47.5 (6.8)</td><td>54.0 (12.0)</td><td>1.39</td><td>0.258</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Inattentivetype(N = 15)</b>\", \"bbox\": [129, 4, 168, 31]}, {\"cell\": \"<b>Hyperactive-impulsive type(N = 11)</b>\", \"bbox\": [206, 4, 260, 31]}, {\"cell\": \"<b>Combinedtype(N = 24)</b>\", \"bbox\": [298, 4, 335, 31]}, {\"cell\": \"<b>Teststatistic</b>\", \"bbox\": [373, 4, 402, 22]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [440, 4, 467, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 35, 28, 45]}, {\"cell\": \"<b>n(%)</b>\", \"bbox\": [140, 35, 158, 45]}, {\"cell\": \"<b>n(%)</b>\", \"bbox\": [224, 35, 242, 45]}, {\"cell\": \"<b>n(%)</b>\", \"bbox\": [308, 35, 325, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.282\", \"bbox\": [444, 35, 463, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 47, 33, 57]}, {\"cell\": \"10 (66.7)\", \"bbox\": [134, 47, 163, 57]}, {\"cell\": \"9 (81.8)\", \"bbox\": [220, 47, 246, 57]}, {\"cell\": \"21 (87.5)\", \"bbox\": [302, 47, 331, 57]}, {\"cell\": \"2.53\", \"bbox\": [380, 47, 395, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 59, 40, 68]}, {\"cell\": \"5 (33.3)\", \"bbox\": [136, 59, 161, 68]}, {\"cell\": \"2 (18.2)\", \"bbox\": [220, 59, 246, 68]}, {\"cell\": \"3 (12.5)\", \"bbox\": [304, 59, 329, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mean(SD)</b>\", \"bbox\": [131, 71, 166, 80]}, {\"cell\": \"<b>Mean(SD)</b>\", \"bbox\": [215, 71, 251, 80]}, {\"cell\": \"<b>Mean(SD)</b>\", \"bbox\": [299, 71, 334, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 39, 92]}, {\"cell\": \"8.1 (1.8)\", \"bbox\": [135, 83, 162, 92]}, {\"cell\": \"7.5 (1.6)\", \"bbox\": [220, 83, 246, 92]}, {\"cell\": \"7.3 (1.5)\", \"bbox\": [303, 83, 330, 92]}, {\"cell\": \"1.13\", \"bbox\": [380, 83, 395, 92]}, {\"cell\": \"0.332\", \"bbox\": [444, 83, 463, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 42, 104]}, {\"cell\": \"130.5 (10.9)\", \"bbox\": [130, 95, 168, 104]}, {\"cell\": \"127.8 (9.7)\", \"bbox\": [216, 95, 250, 104]}, {\"cell\": \"126.5 (8.4)\", \"bbox\": [299, 95, 334, 104]}, {\"cell\": \"0.82\", \"bbox\": [380, 95, 395, 104]}, {\"cell\": \"0.445\", \"bbox\": [444, 95, 463, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 107, 42, 116]}, {\"cell\": \"29.5 (7.5)\", \"bbox\": [133, 107, 164, 116]}, {\"cell\": \"27.7 (7.0)\", \"bbox\": [218, 107, 248, 116]}, {\"cell\": \"26.7 (6.2)\", \"bbox\": [301, 107, 332, 116]}, {\"cell\": \"0.77\", \"bbox\": [380, 107, 395, 116]}, {\"cell\": \"0.467\", \"bbox\": [444, 107, 463, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 20, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 131, 55, 140]}, {\"cell\": \"69.0 (12.4)\", \"bbox\": [132, 131, 166, 140]}, {\"cell\": \"61.6 (8.2)\", \"bbox\": [218, 131, 248, 140]}, {\"cell\": \"66.7 (8.3)\", \"bbox\": [301, 131, 332, 140]}, {\"cell\": \"1.94\", \"bbox\": [380, 131, 395, 140]}, {\"cell\": \"0.155\", \"bbox\": [444, 131, 463, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 143, 53, 152]}, {\"cell\": \"63.3 (10.3)\", \"bbox\": [132, 143, 166, 152]}, {\"cell\": \"64.6 (7.4)\", \"bbox\": [218, 143, 248, 152]}, {\"cell\": \"59.3 (8.6)\", \"bbox\": [301, 143, 332, 152]}, {\"cell\": \"1.69\", \"bbox\": [380, 143, 395, 152]}, {\"cell\": \"0.196\", \"bbox\": [444, 143, 463, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 155, 57, 164]}, {\"cell\": \"65. 7(11.9)\", \"bbox\": [132, 155, 166, 164]}, {\"cell\": \"61.1 (9.8)\", \"bbox\": [218, 155, 248, 164]}, {\"cell\": \"61.8 (10.9)\", \"bbox\": [299, 155, 334, 164]}, {\"cell\": \"0.74\", \"bbox\": [380, 155, 395, 164]}, {\"cell\": \"0.485\", \"bbox\": [444, 155, 463, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 167, 31, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 179, 51, 188]}, {\"cell\": \"17.3 (3.8)\", \"bbox\": [133, 179, 164, 188]}, {\"cell\": \"14.9 (4.4)\", \"bbox\": [218, 179, 248, 188]}, {\"cell\": \"17.5 (4.2)\", \"bbox\": [301, 179, 332, 188]}, {\"cell\": \"1.60\", \"bbox\": [380, 179, 395, 188]}, {\"cell\": \"0.212\", \"bbox\": [444, 179, 463, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 189, 57, 200]}, {\"cell\": \"13.3 (5.8)\", \"bbox\": [133, 191, 164, 200]}, {\"cell\": \"17.5 (4.7)\", \"bbox\": [218, 191, 248, 200]}, {\"cell\": \"17.5 (4.6)\", \"bbox\": [301, 191, 332, 200]}, {\"cell\": \"3.77\", \"bbox\": [380, 191, 395, 200]}, {\"cell\": \"<b>0.030</b>\", \"bbox\": [443, 191, 464, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 202, 58, 212]}, {\"cell\": \"11.3 (5.8)\", \"bbox\": [133, 202, 164, 212]}, {\"cell\": \"12.0 (4.8)\", \"bbox\": [218, 202, 248, 212]}, {\"cell\": \"9.6 (4.4)\", \"bbox\": [303, 202, 330, 212]}, {\"cell\": \"1.06\", \"bbox\": [380, 202, 395, 212]}, {\"cell\": \"0.355\", \"bbox\": [444, 202, 463, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 214, 35, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 226, 52, 236]}, {\"cell\": \"30.8 (4.5)\", \"bbox\": [133, 226, 164, 236]}, {\"cell\": \"31.8 (5.4)\", \"bbox\": [218, 226, 248, 236]}, {\"cell\": \"34.3 (5.7)\", \"bbox\": [301, 226, 332, 236]}, {\"cell\": \"2.17\", \"bbox\": [380, 226, 395, 236]}, {\"cell\": \"0.125\", \"bbox\": [444, 226, 463, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 237, 55, 248]}, {\"cell\": \"16.5 (2.3)\", \"bbox\": [133, 238, 164, 248]}, {\"cell\": \"12.7 (3.1)\", \"bbox\": [218, 238, 248, 248]}, {\"cell\": \"17.9 (3.3)\", \"bbox\": [301, 238, 332, 248]}, {\"cell\": \"11.11\", \"bbox\": [378, 238, 397, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 238, 466, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 249, 61, 260]}, {\"cell\": \"14.3 (3.8)\", \"bbox\": [133, 250, 164, 260]}, {\"cell\": \"19.2 (3.2)\", \"bbox\": [218, 250, 248, 260]}, {\"cell\": \"16.4 (4.2)\", \"bbox\": [301, 250, 332, 260]}, {\"cell\": \"4.88\", \"bbox\": [380, 250, 395, 260]}, {\"cell\": \"<b>0.012</b>\", \"bbox\": [443, 250, 464, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 262, 16, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 274, 74, 284]}, {\"cell\": \"53.7 (21.6)\", \"bbox\": [132, 274, 166, 284]}, {\"cell\": \"58.3 (16.5)\", \"bbox\": [216, 274, 250, 284]}, {\"cell\": \"63.4 (24.0)\", \"bbox\": [299, 274, 334, 284]}, {\"cell\": \"0.91\", \"bbox\": [380, 274, 395, 284]}, {\"cell\": \"0.408\", \"bbox\": [444, 274, 463, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 286, 47, 296]}, {\"cell\": \"53.4 (10.3)\", \"bbox\": [132, 286, 166, 296]}, {\"cell\": \"53.3 (10.7)\", \"bbox\": [216, 286, 250, 296]}, {\"cell\": \"63.7 (30.4)\", \"bbox\": [299, 286, 334, 296]}, {\"cell\": \"1.32\", \"bbox\": [380, 286, 395, 296]}, {\"cell\": \"0.277\", \"bbox\": [444, 286, 463, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 298, 57, 308]}, {\"cell\": \"46.4 (10.5)\", \"bbox\": [132, 298, 166, 308]}, {\"cell\": \"47.4 (12.7)\", \"bbox\": [216, 298, 250, 308]}, {\"cell\": \"48.3 (10.8)\", \"bbox\": [299, 298, 334, 308]}, {\"cell\": \"0.13\", \"bbox\": [380, 298, 395, 308]}, {\"cell\": \"0.877\", \"bbox\": [444, 298, 463, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 310, 37, 320]}, {\"cell\": \"57.6 (13.3)\", \"bbox\": [132, 310, 166, 320]}, {\"cell\": \"52.9 (9.9)\", \"bbox\": [218, 310, 248, 320]}, {\"cell\": \"58.7 (15.2)\", \"bbox\": [299, 310, 334, 320]}, {\"cell\": \"0.70\", \"bbox\": [380, 310, 395, 320]}, {\"cell\": \"0.502\", \"bbox\": [444, 310, 463, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 322, 47, 332]}, {\"cell\": \"54.3 (10.4)\", \"bbox\": [132, 322, 166, 332]}, {\"cell\": \"54.8 (8.8)\", \"bbox\": [218, 322, 248, 332]}, {\"cell\": \"60.5 (12.6)\", \"bbox\": [299, 322, 334, 332]}, {\"cell\": \"1.78\", \"bbox\": [380, 322, 395, 332]}, {\"cell\": \"0.181\", \"bbox\": [444, 322, 463, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 334, 48, 343]}, {\"cell\": \"53.1 (8.9)\", \"bbox\": [133, 334, 164, 343]}, {\"cell\": \"54.4 (8.9)\", \"bbox\": [218, 334, 248, 343]}, {\"cell\": \"58.4 (10.7)\", \"bbox\": [299, 334, 334, 343]}, {\"cell\": \"1.52\", \"bbox\": [380, 334, 395, 343]}, {\"cell\": \"0.230\", \"bbox\": [444, 334, 463, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 346, 57, 355]}, {\"cell\": \"47.9 (8.7)\", \"bbox\": [133, 346, 164, 355]}, {\"cell\": \"50.4 (13.2)\", \"bbox\": [216, 346, 250, 355]}, {\"cell\": \"51.0 (8.2)\", \"bbox\": [301, 346, 332, 355]}, {\"cell\": \"0.48\", \"bbox\": [380, 346, 395, 355]}, {\"cell\": \"0.623\", \"bbox\": [444, 346, 463, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 358, 65, 367]}, {\"cell\": \"50.7 (11.7)\", \"bbox\": [132, 358, 166, 367]}, {\"cell\": \"47.5 (6.8)\", \"bbox\": [218, 358, 248, 367]}, {\"cell\": \"54.0 (12.0)\", \"bbox\": [299, 358, 334, 367]}, {\"cell\": \"1.39\", \"bbox\": [380, 358, 395, 367]}, {\"cell\": \"0.258\", \"bbox\": [444, 358, 463, 367]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3111344_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}377{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Cohort 1</b></td><td colspan=\\\"4\\\"><b>Cohort 2</b></td></tr><tr><td><b>Parameter</b></td><td><b>25 M (<i>n</i> = 10)</b></td><td><b>50 M (<i>n</i> = 10)</b></td><td><b>P1 (<i>n</i> = 10)</b></td><td><b><i>P</i> value</b></td><td><b>75 M (<i>n</i> = 10)</b></td><td><b>150 M (<i>n</i> = 10)</b></td><td><b>P2 (<i>n</i> = 10)</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>[EMPTY_CELL]</td><td>57.30 ± 9.45</td><td>54.90 ± 8.27</td><td>0.73</td><td>55.00 ± 6.72</td><td>54.00 ± 6.73</td><td>56.70 ± 5.19</td><td>0.6</td></tr><tr><td>Female (<i>n</i>)</td><td>[EMPTY_CELL]</td><td>8</td><td>10</td><td>NA</td><td>8</td><td>5</td><td>7</td><td>NA</td></tr><tr><td>Male (<i>n</i>)</td><td>[EMPTY_CELL]</td><td>2</td><td>0</td><td>NA</td><td>2</td><td>5</td><td>3</td><td>NA</td></tr><tr><td>Height (cm)</td><td>[EMPTY_CELL]</td><td>157.30 ± 12.23</td><td>152.25 ± 9.72</td><td>0.39</td><td>158.40 ± 8.86</td><td>158.88 ± 9.30</td><td>159.70 ± 10.67</td><td>0.9</td></tr><tr><td>Weight (kg)</td><td>[EMPTY_CELL]</td><td>69.00 ± 14.62</td><td>66.10 ± 7.67</td><td>0.45</td><td>71.30 ± 9.09</td><td>66.00 ± 9.13</td><td>66.90 ± 8.57</td><td>0.39</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>[EMPTY_CELL]</td><td>27.74 ± 4.16</td><td>28.84 ± 4.91</td><td>0.76</td><td>28.38 ± 2.38</td><td>26.33 ± 4.48</td><td>26.40 ± 3.99</td><td>0.3</td></tr><tr><td>WOMAC total</td><td>[EMPTY_CELL]</td><td>1498.4 ± 407.4</td><td>1239.6 ± 472.2</td><td>0.28</td><td>1470.6 ± 471.0</td><td>1388.1 ± 508.8</td><td>1382.0 ± 324.7</td><td>0.9</td></tr><tr><td>ICOAP total</td><td>[EMPTY_CELL]</td><td>59.3 ± 21.7</td><td>49.3 ± 18.7</td><td>0.38</td><td>58.4 ± 20.7</td><td>46.4 ± 22.0</td><td>54.8 ± 17.8</td><td>0.54</td></tr><tr><td>VAS</td><td>[EMPTY_CELL]</td><td>73.7 ± 15.2</td><td>61.0 ± 23.8</td><td>0.24</td><td>57.4 ± 29.0</td><td>46.6 ± 23.6</td><td>65.3 ± 12.2</td><td>0.11</td></tr><tr><td>WORMS total score</td><td>[EMPTY_CELL]</td><td>78.8 ± 40.9</td><td>76.5 ± 23.5</td><td>0.65</td><td>71.3 ± 21.4</td><td>62.0 ± 17.9</td><td>70.8 ± 14.7</td><td>0.48</td></tr><tr><td>Kellgren and Lawrence Grade 2 (<i>n</i>)</td><td>[EMPTY_CELL]</td><td>1</td><td>3</td><td>NA</td><td>1</td><td>3</td><td>2</td><td>NA</td></tr><tr><td>Kellgren and Lawrence Grade 3 (<i>n</i>)</td><td>[EMPTY_CELL]</td><td>9</td><td>7</td><td>NA</td><td>9</td><td>7</td><td>8</td><td>NA</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Cohort 1</b>\", \"bbox\": [119, 4, 149, 13]}, {\"cell\": \"<b>Cohort 2</b>\", \"bbox\": [303, 4, 333, 13]}, {\"cell\": \"<b>Parameter</b>\", \"bbox\": [1, 17, 35, 27]}, {\"cell\": \"<b>25 M (<i>n</i> = 10)</b>\", \"bbox\": [119, 17, 163, 27]}, {\"cell\": \"<b>50 M (<i>n</i> = 10)</b>\", \"bbox\": [170, 17, 215, 27]}, {\"cell\": \"<b>P1 (<i>n</i> = 10)</b>\", \"bbox\": [222, 17, 258, 27]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [274, 17, 299, 27]}, {\"cell\": \"<b>75 M (<i>n</i> = 10)</b>\", \"bbox\": [303, 17, 348, 27]}, {\"cell\": \"<b>150 M (<i>n</i> = 10)</b>\", \"bbox\": [355, 17, 403, 27]}, {\"cell\": \"<b>P2 (<i>n</i> = 10)</b>\", \"bbox\": [408, 17, 444, 27]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 30, 38, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 30, 158, 40]}, {\"cell\": \"57.30 ± 9.45\", \"bbox\": [170, 30, 210, 40]}, {\"cell\": \"54.90 ± 8.27\", \"bbox\": [222, 30, 261, 40]}, {\"cell\": \"0.73\", \"bbox\": [274, 30, 288, 40]}, {\"cell\": \"55.00 ± 6.72\", \"bbox\": [303, 30, 343, 40]}, {\"cell\": \"54.00 ± 6.73\", \"bbox\": [355, 30, 394, 40]}, {\"cell\": \"56.70 ± 5.19\", \"bbox\": [408, 30, 447, 40]}, {\"cell\": \"0.6\", \"bbox\": [459, 30, 470, 40]}, {\"cell\": \"Female (<i>n</i>)\", \"bbox\": [1, 44, 36, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 44, 124, 54]}, {\"cell\": \"8\", \"bbox\": [170, 44, 176, 54]}, {\"cell\": \"10\", \"bbox\": [222, 44, 232, 54]}, {\"cell\": \"NA\", \"bbox\": [274, 44, 285, 54]}, {\"cell\": \"8\", \"bbox\": [303, 44, 309, 54]}, {\"cell\": \"5\", \"bbox\": [355, 44, 361, 54]}, {\"cell\": \"7\", \"bbox\": [408, 44, 414, 54]}, {\"cell\": \"NA\", \"bbox\": [459, 44, 471, 54]}, {\"cell\": \"Male (<i>n</i>)\", \"bbox\": [1, 58, 28, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 58, 124, 68]}, {\"cell\": \"2\", \"bbox\": [170, 58, 176, 68]}, {\"cell\": \"0\", \"bbox\": [222, 58, 228, 68]}, {\"cell\": \"NA\", \"bbox\": [274, 58, 285, 68]}, {\"cell\": \"2\", \"bbox\": [303, 58, 309, 68]}, {\"cell\": \"5\", \"bbox\": [355, 58, 361, 68]}, {\"cell\": \"3\", \"bbox\": [408, 58, 414, 68]}, {\"cell\": \"NA\", \"bbox\": [459, 58, 471, 68]}, {\"cell\": \"Height (cm)\", \"bbox\": [1, 72, 40, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 72, 162, 82]}, {\"cell\": \"157.30 ± 12.23\", \"bbox\": [170, 72, 217, 82]}, {\"cell\": \"152.25 ± 9.72\", \"bbox\": [222, 72, 265, 82]}, {\"cell\": \"0.39\", \"bbox\": [274, 72, 288, 82]}, {\"cell\": \"158.40 ± 8.86\", \"bbox\": [303, 72, 346, 82]}, {\"cell\": \"158.88 ± 9.30\", \"bbox\": [355, 72, 398, 82]}, {\"cell\": \"159.70 ± 10.67\", \"bbox\": [408, 72, 455, 82]}, {\"cell\": \"0.9\", \"bbox\": [459, 72, 470, 82]}, {\"cell\": \"Weight (kg)\", \"bbox\": [1, 86, 40, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 86, 162, 96]}, {\"cell\": \"69.00 ± 14.62\", \"bbox\": [170, 86, 214, 96]}, {\"cell\": \"66.10 ± 7.67\", \"bbox\": [222, 86, 261, 96]}, {\"cell\": \"0.45\", \"bbox\": [274, 86, 288, 96]}, {\"cell\": \"71.30 ± 9.09\", \"bbox\": [303, 86, 343, 96]}, {\"cell\": \"66.00 ± 9.13\", \"bbox\": [355, 86, 394, 96]}, {\"cell\": \"66.90 ± 8.57\", \"bbox\": [408, 86, 447, 96]}, {\"cell\": \"0.39\", \"bbox\": [459, 86, 474, 96]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [1, 99, 41, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 100, 158, 110]}, {\"cell\": \"27.74 ± 4.16\", \"bbox\": [170, 100, 210, 110]}, {\"cell\": \"28.84 ± 4.91\", \"bbox\": [222, 100, 261, 110]}, {\"cell\": \"0.76\", \"bbox\": [274, 100, 288, 110]}, {\"cell\": \"28.38 ± 2.38\", \"bbox\": [303, 100, 343, 110]}, {\"cell\": \"26.33 ± 4.48\", \"bbox\": [355, 100, 394, 110]}, {\"cell\": \"26.40 ± 3.99\", \"bbox\": [408, 100, 447, 110]}, {\"cell\": \"0.3\", \"bbox\": [459, 100, 470, 110]}, {\"cell\": \"WOMAC total\", \"bbox\": [1, 114, 46, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 114, 166, 124]}, {\"cell\": \"1498.4 ± 407.4\", \"bbox\": [170, 114, 217, 124]}, {\"cell\": \"1239.6 ± 472.2\", \"bbox\": [222, 114, 269, 124]}, {\"cell\": \"0.28\", \"bbox\": [274, 114, 288, 124]}, {\"cell\": \"1470.6 ± 471.0\", \"bbox\": [303, 114, 350, 124]}, {\"cell\": \"1388.1 ± 508.8\", \"bbox\": [355, 114, 402, 124]}, {\"cell\": \"1382.0 ± 324.7\", \"bbox\": [408, 114, 455, 124]}, {\"cell\": \"0.9\", \"bbox\": [459, 114, 470, 124]}, {\"cell\": \"ICOAP total\", \"bbox\": [1, 128, 39, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 128, 154, 138]}, {\"cell\": \"59.3 ± 21.7\", \"bbox\": [170, 128, 206, 138]}, {\"cell\": \"49.3 ± 18.7\", \"bbox\": [222, 128, 257, 138]}, {\"cell\": \"0.38\", \"bbox\": [274, 128, 288, 138]}, {\"cell\": \"58.4 ± 20.7\", \"bbox\": [303, 128, 339, 138]}, {\"cell\": \"46.4 ± 22.0\", \"bbox\": [355, 128, 390, 138]}, {\"cell\": \"54.8 ± 17.8\", \"bbox\": [408, 128, 443, 138]}, {\"cell\": \"0.54\", \"bbox\": [459, 128, 474, 138]}, {\"cell\": \"VAS\", \"bbox\": [1, 142, 15, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 142, 154, 152]}, {\"cell\": \"73.7 ± 15.2\", \"bbox\": [170, 142, 206, 152]}, {\"cell\": \"61.0 ± 23.8\", \"bbox\": [222, 142, 257, 152]}, {\"cell\": \"0.24\", \"bbox\": [274, 142, 288, 152]}, {\"cell\": \"57.4 ± 29.0\", \"bbox\": [303, 142, 339, 152]}, {\"cell\": \"46.6 ± 23.6\", \"bbox\": [355, 142, 390, 152]}, {\"cell\": \"65.3 ± 12.2\", \"bbox\": [408, 142, 443, 152]}, {\"cell\": \"0.11\", \"bbox\": [459, 142, 474, 152]}, {\"cell\": \"WORMS total score\", \"bbox\": [1, 156, 64, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 156, 154, 166]}, {\"cell\": \"78.8 ± 40.9\", \"bbox\": [170, 156, 206, 166]}, {\"cell\": \"76.5 ± 23.5\", \"bbox\": [222, 156, 257, 166]}, {\"cell\": \"0.65\", \"bbox\": [274, 156, 288, 166]}, {\"cell\": \"71.3 ± 21.4\", \"bbox\": [303, 156, 339, 166]}, {\"cell\": \"62.0 ± 17.9\", \"bbox\": [355, 156, 390, 166]}, {\"cell\": \"70.8 ± 14.7\", \"bbox\": [408, 156, 443, 166]}, {\"cell\": \"0.48\", \"bbox\": [459, 156, 474, 166]}, {\"cell\": \"Kellgren and Lawrence Grade 2 (<i>n</i>)\", \"bbox\": [1, 170, 114, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 170, 124, 180]}, {\"cell\": \"1\", \"bbox\": [170, 170, 176, 180]}, {\"cell\": \"3\", \"bbox\": [222, 170, 228, 180]}, {\"cell\": \"NA\", \"bbox\": [274, 170, 285, 180]}, {\"cell\": \"1\", \"bbox\": [303, 170, 309, 180]}, {\"cell\": \"3\", \"bbox\": [355, 170, 361, 180]}, {\"cell\": \"2\", \"bbox\": [408, 170, 414, 180]}, {\"cell\": \"NA\", \"bbox\": [459, 170, 471, 180]}, {\"cell\": \"Kellgren and Lawrence Grade 3 (<i>n</i>)\", \"bbox\": [0, 184, 114, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 184, 124, 194]}, {\"cell\": \"9\", \"bbox\": [170, 184, 176, 194]}, {\"cell\": \"7\", \"bbox\": [222, 184, 228, 194]}, {\"cell\": \"NA\", \"bbox\": [274, 184, 285, 194]}, {\"cell\": \"9\", \"bbox\": [303, 184, 309, 194]}, {\"cell\": \"7\", \"bbox\": [355, 184, 361, 194]}, {\"cell\": \"8\", \"bbox\": [408, 184, 414, 194]}, {\"cell\": \"NA\", \"bbox\": [459, 184, 471, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5168586_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}378{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Unadjusted</b></td><td colspan=\\\"2\\\"><b>Age- and Sex Adjusted</b></td><td colspan=\\\"2\\\"><b>Multivariable Adjusted†</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>β Coefficients (SE)</b></td><td><b><i>P</i></b></td><td><b>β Coefficients (SE)</b></td><td><b><i>P</i></b></td><td><b>β Coefficients (SE)</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Age, per increase of 1 year</td><td>0.011 (0.001)</td><td><0.001</td><td>0.011 (0.001)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Sex, female vs male</td><td>−0.081 (0.022)</td><td><0.001</td><td>−0.061 (0.022)</td><td>0.005</td><td>[EMPTY_CELL]</td><td>0.03</td></tr><tr><td>History of CVD, yes vs no</td><td>0.406 (0.049)</td><td><0.001</td><td>0.261 (0.050)</td><td><0.001</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>Smoking, yes vs no</td><td>0.032 (0.013)</td><td>0.02</td><td>0.006 (0.013)</td><td>0.67</td><td>[EMPTY_CELL]</td><td>—</td></tr><tr><td>Alcohol use, yes vs no</td><td>−0.172 (0.025)</td><td><0.001</td><td>−0.158 (0.025)</td><td><0.001</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>BMI, per increase of 1 kg/m<sup>2</sup></td><td>0.029 (0.003)</td><td><0.001</td><td>0.021 (0.003)</td><td><0.001</td><td>[EMPTY_CELL]</td><td>—</td></tr><tr><td>Waist circumference, per increase of 1 cm</td><td>0.010 (0.001)</td><td><0.001</td><td>0.008 (0.001)</td><td><0.001</td><td>[EMPTY_CELL]</td><td>0.071</td></tr><tr><td>Systolic blood pressure, per increase of 1 mm Hg</td><td>0.007 (0.001)</td><td><0.001</td><td>0.004 (0.001)</td><td><0.001</td><td>[EMPTY_CELL]</td><td>0.074</td></tr><tr><td>Antihypertensive therapy, yes vs no</td><td>0.309 (0.030)</td><td><0.001</td><td>0.194 (0.023)</td><td><0.001</td><td>[EMPTY_CELL]</td><td>0.10</td></tr><tr><td>Prevalent diabetes, yes vs no</td><td>0.422 (0.057)</td><td><0.001</td><td>0.291 (0.058)</td><td><0.001</td><td>[EMPTY_CELL]</td><td>—</td></tr><tr><td>Total cholesterol, per increase of 1 mmol/L</td><td>0.027 (0.035)</td><td>0.006</td><td>−0.015 (0.010)</td><td>0.13</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>HDL cholesterol, per increase of 1 mmol/L</td><td>−0.227 (0.027)</td><td><0.001</td><td>−0.204 (0.029)</td><td><0.001</td><td>[EMPTY_CELL]</td><td>—</td></tr><tr><td>Triglycerides, per increase of 1 mmol/L</td><td>0.104 (0.011)</td><td><0.001</td><td>0.081 (0.011)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Insulin, per increase of log<sub>2</sub> unit</td><td>0.198 (0.013)</td><td><0.001</td><td>0.171 (0.013)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>hs-CRP, per increase of log<sub>2</sub> unit</td><td>0.220 (0.023)</td><td><0.001</td><td>0.114 (0.007)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Procalcitonin, per increase of log<sub>2</sub> unit</td><td>0.127 (0.007)</td><td><0.001</td><td>0.152 (0.024)</td><td><0.001</td><td>[EMPTY_CELL]</td><td>0.10</td></tr><tr><td>24-hour UAE, per increase of log<sub>2</sub> unit</td><td>0.101 (0.009)</td><td><0.001</td><td>0.075 (0.009)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Unadjusted</b>\", \"bbox\": [186, 7, 220, 16]}, {\"cell\": \"<b>Age- and Sex Adjusted</b>\", \"bbox\": [300, 7, 367, 16]}, {\"cell\": \"<b>Multivariable Adjusted†</b>\", \"bbox\": [414, 6, 482, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>β Coefficients (SE)</b>\", \"bbox\": [186, 23, 241, 31]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [258, 23, 264, 30]}, {\"cell\": \"<b>β Coefficients (SE)</b>\", \"bbox\": [300, 23, 355, 31]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [372, 23, 378, 30]}, {\"cell\": \"<b>β Coefficients (SE)</b>\", \"bbox\": [414, 23, 469, 31]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [486, 23, 492, 30]}, {\"cell\": \"Age, per increase of 1 year\", \"bbox\": [7, 36, 97, 46]}, {\"cell\": \"0.011 (0.001)\", \"bbox\": [186, 36, 231, 46]}, {\"cell\": \"<0.001\", \"bbox\": [258, 36, 283, 46]}, {\"cell\": \"0.011 (0.001)\", \"bbox\": [300, 36, 346, 46]}, {\"cell\": \"<0.001\", \"bbox\": [372, 36, 397, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 36, 460, 46]}, {\"cell\": \"<0.001\", \"bbox\": [486, 36, 511, 46]}, {\"cell\": \"Sex, female vs male\", \"bbox\": [7, 51, 74, 61]}, {\"cell\": \"−0.081 (0.022)\", \"bbox\": [186, 51, 238, 61]}, {\"cell\": \"<0.001\", \"bbox\": [258, 51, 283, 61]}, {\"cell\": \"−0.061 (0.022)\", \"bbox\": [300, 51, 352, 61]}, {\"cell\": \"0.005\", \"bbox\": [372, 51, 392, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 51, 466, 61]}, {\"cell\": \"0.03\", \"bbox\": [486, 51, 502, 61]}, {\"cell\": \"History of CVD, yes vs no\", \"bbox\": [7, 66, 90, 75]}, {\"cell\": \"0.406 (0.049)\", \"bbox\": [186, 66, 231, 75]}, {\"cell\": \"<0.001\", \"bbox\": [258, 66, 283, 75]}, {\"cell\": \"0.261 (0.050)\", \"bbox\": [300, 66, 346, 75]}, {\"cell\": \"<0.001\", \"bbox\": [372, 66, 397, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 66, 460, 75]}, {\"cell\": \"0.001\", \"bbox\": [486, 66, 507, 75]}, {\"cell\": \"Smoking, yes vs no\", \"bbox\": [7, 81, 72, 90]}, {\"cell\": \"0.032 (0.013)\", \"bbox\": [186, 81, 231, 90]}, {\"cell\": \"0.02\", \"bbox\": [258, 81, 274, 90]}, {\"cell\": \"0.006 (0.013)\", \"bbox\": [300, 81, 346, 90]}, {\"cell\": \"0.67\", \"bbox\": [372, 81, 388, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 81, 425, 90]}, {\"cell\": \"—\", \"bbox\": [486, 81, 497, 90]}, {\"cell\": \"Alcohol use, yes vs no\", \"bbox\": [7, 95, 81, 105]}, {\"cell\": \"−0.172 (0.025)\", \"bbox\": [186, 95, 238, 105]}, {\"cell\": \"<0.001\", \"bbox\": [258, 95, 283, 105]}, {\"cell\": \"−0.158 (0.025)\", \"bbox\": [300, 95, 352, 105]}, {\"cell\": \"<0.001\", \"bbox\": [372, 95, 397, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 95, 466, 105]}, {\"cell\": \"0.001\", \"bbox\": [486, 95, 507, 105]}, {\"cell\": \"BMI, per increase of 1 kg/m<sup>2</sup>\", \"bbox\": [7, 108, 103, 120]}, {\"cell\": \"0.029 (0.003)\", \"bbox\": [186, 110, 231, 120]}, {\"cell\": \"<0.001\", \"bbox\": [258, 110, 283, 120]}, {\"cell\": \"0.021 (0.003)\", \"bbox\": [300, 110, 346, 120]}, {\"cell\": \"<0.001\", \"bbox\": [372, 110, 397, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 110, 425, 120]}, {\"cell\": \"—\", \"bbox\": [486, 110, 497, 120]}, {\"cell\": \"Waist circumference, per increase of 1 cm\", \"bbox\": [7, 125, 146, 135]}, {\"cell\": \"0.010 (0.001)\", \"bbox\": [186, 125, 231, 135]}, {\"cell\": \"<0.001\", \"bbox\": [258, 125, 283, 135]}, {\"cell\": \"0.008 (0.001)\", \"bbox\": [300, 125, 346, 135]}, {\"cell\": \"<0.001\", \"bbox\": [372, 125, 397, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 125, 466, 135]}, {\"cell\": \"0.071\", \"bbox\": [486, 125, 507, 135]}, {\"cell\": \"Systolic blood pressure, per increase of 1 mm Hg\", \"bbox\": [7, 140, 169, 149]}, {\"cell\": \"0.007 (0.001)\", \"bbox\": [186, 140, 231, 149]}, {\"cell\": \"<0.001\", \"bbox\": [258, 140, 283, 149]}, {\"cell\": \"0.004 (0.001)\", \"bbox\": [300, 140, 346, 149]}, {\"cell\": \"<0.001\", \"bbox\": [372, 140, 397, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 140, 460, 149]}, {\"cell\": \"0.074\", \"bbox\": [486, 140, 507, 149]}, {\"cell\": \"Antihypertensive therapy, yes vs no\", \"bbox\": [7, 155, 122, 164]}, {\"cell\": \"0.309 (0.030)\", \"bbox\": [186, 155, 231, 164]}, {\"cell\": \"<0.001\", \"bbox\": [258, 155, 283, 164]}, {\"cell\": \"0.194 (0.023)\", \"bbox\": [300, 155, 346, 164]}, {\"cell\": \"<0.001\", \"bbox\": [372, 155, 397, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 155, 460, 164]}, {\"cell\": \"0.10\", \"bbox\": [486, 155, 502, 164]}, {\"cell\": \"Prevalent diabetes, yes vs no\", \"bbox\": [7, 169, 102, 179]}, {\"cell\": \"0.422 (0.057)\", \"bbox\": [186, 169, 231, 179]}, {\"cell\": \"<0.001\", \"bbox\": [258, 169, 283, 179]}, {\"cell\": \"0.291 (0.058)\", \"bbox\": [300, 169, 346, 179]}, {\"cell\": \"<0.001\", \"bbox\": [372, 169, 397, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 170, 425, 179]}, {\"cell\": \"—\", \"bbox\": [486, 170, 497, 179]}, {\"cell\": \"Total cholesterol, per increase of 1 mmol/L\", \"bbox\": [7, 184, 147, 194]}, {\"cell\": \"0.027 (0.035)\", \"bbox\": [186, 184, 231, 194]}, {\"cell\": \"0.006\", \"bbox\": [258, 184, 278, 194]}, {\"cell\": \"−0.015 (0.010)\", \"bbox\": [300, 184, 352, 194]}, {\"cell\": \"0.13\", \"bbox\": [372, 184, 388, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 184, 466, 194]}, {\"cell\": \"<0.001\", \"bbox\": [486, 184, 511, 194]}, {\"cell\": \"HDL cholesterol, per increase of 1 mmol/L\", \"bbox\": [7, 199, 145, 209]}, {\"cell\": \"−0.227 (0.027)\", \"bbox\": [186, 199, 238, 209]}, {\"cell\": \"<0.001\", \"bbox\": [258, 199, 283, 209]}, {\"cell\": \"−0.204 (0.029)\", \"bbox\": [300, 199, 352, 209]}, {\"cell\": \"<0.001\", \"bbox\": [372, 199, 397, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 199, 425, 209]}, {\"cell\": \"—\", \"bbox\": [486, 199, 497, 209]}, {\"cell\": \"Triglycerides, per increase of 1 mmol/L\", \"bbox\": [7, 214, 135, 223]}, {\"cell\": \"0.104 (0.011)\", \"bbox\": [186, 214, 231, 223]}, {\"cell\": \"<0.001\", \"bbox\": [258, 214, 283, 223]}, {\"cell\": \"0.081 (0.011)\", \"bbox\": [300, 214, 346, 223]}, {\"cell\": \"<0.001\", \"bbox\": [372, 214, 397, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 214, 460, 223]}, {\"cell\": \"<0.001\", \"bbox\": [486, 214, 511, 223]}, {\"cell\": \"Insulin, per increase of log<sub>2</sub> unit\", \"bbox\": [7, 229, 112, 239]}, {\"cell\": \"0.198 (0.013)\", \"bbox\": [186, 229, 231, 238]}, {\"cell\": \"<0.001\", \"bbox\": [258, 229, 283, 238]}, {\"cell\": \"0.171 (0.013)\", \"bbox\": [300, 229, 346, 238]}, {\"cell\": \"<0.001\", \"bbox\": [372, 229, 397, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 229, 460, 238]}, {\"cell\": \"<0.001\", \"bbox\": [486, 229, 511, 238]}, {\"cell\": \"hs-CRP, per increase of log<sub>2</sub> unit\", \"bbox\": [7, 243, 114, 254]}, {\"cell\": \"0.220 (0.023)\", \"bbox\": [186, 243, 231, 253]}, {\"cell\": \"<0.001\", \"bbox\": [258, 243, 283, 253]}, {\"cell\": \"0.114 (0.007)\", \"bbox\": [300, 243, 346, 253]}, {\"cell\": \"<0.001\", \"bbox\": [372, 243, 397, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 243, 460, 253]}, {\"cell\": \"<0.001\", \"bbox\": [486, 243, 511, 253]}, {\"cell\": \"Procalcitonin, per increase of log<sub>2</sub> unit\", \"bbox\": [7, 258, 131, 269]}, {\"cell\": \"0.127 (0.007)\", \"bbox\": [186, 258, 231, 268]}, {\"cell\": \"<0.001\", \"bbox\": [258, 258, 283, 268]}, {\"cell\": \"0.152 (0.024)\", \"bbox\": [300, 258, 346, 268]}, {\"cell\": \"<0.001\", \"bbox\": [372, 258, 397, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 258, 460, 268]}, {\"cell\": \"0.10\", \"bbox\": [486, 258, 502, 268]}, {\"cell\": \"24-hour UAE, per increase of log<sub>2</sub> unit\", \"bbox\": [7, 273, 132, 284]}, {\"cell\": \"0.101 (0.009)\", \"bbox\": [186, 273, 231, 283]}, {\"cell\": \"<0.001\", \"bbox\": [258, 273, 283, 283]}, {\"cell\": \"0.075 (0.009)\", \"bbox\": [300, 273, 346, 283]}, {\"cell\": \"<0.001\", \"bbox\": [372, 273, 397, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 273, 460, 283]}, {\"cell\": \"<0.001\", \"bbox\": [486, 273, 511, 283]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3541606_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}379{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Interaction with cisplatin</b></td></tr><tr><td colspan=\\\"2\\\"><b>2008</b></td><td colspan=\\\"2\\\"><b>2008 + FANCF</b></td></tr><tr><td rowspan=\\\"2\\\"><b>Chemicals</b></td><td colspan=\\\"2\\\"><b><i>FA-deficient</i></b></td><td colspan=\\\"2\\\"><b><i>FA-proficient</i></b></td></tr><tr><td><b>CI</b></td><td><b>Interpretation</b></td><td><b>CI</b></td><td><b>Interpretation</b></td></tr></thead><tbody><tr><td>Bortezomib</td><td>1.00 ± 0.05</td><td>[EMPTY_CELL]</td><td>0.88 ± 0.02</td><td><b>Moderate synergism</b></td></tr><tr><td>Lactacystin</td><td>0.90 ± 0.05</td><td>[EMPTY_CELL]</td><td>1.02 ± 0.05</td><td>Additive</td></tr><tr><td>MG132</td><td>1.13 ± 0.04</td><td>[EMPTY_CELL]</td><td>1.13 ± 0.05</td><td><i>Slight antagonism</i></td></tr><tr><td>ALLN</td><td>1.17 ± 0.04</td><td>[EMPTY_CELL]</td><td>1.06 ± 0.09</td><td>Additive</td></tr><tr><td>5929407</td><td>1.10 ± 0.04</td><td>[EMPTY_CELL]</td><td>1.00 ± 0.04</td><td>Additive</td></tr><tr><td>Curcumin</td><td>0.98 ± 0.02</td><td>[EMPTY_CELL]</td><td>1.06 ± 0.02</td><td>Additive</td></tr><tr><td>H-9</td><td>1.08 ± 0.04</td><td>[EMPTY_CELL]</td><td>0.98 ± 0.04</td><td>Additive</td></tr><tr><td>Gö6976</td><td>0.63 ± 0.04</td><td>[EMPTY_CELL]</td><td>0.68 ± 0.03</td><td><b>Synergism</b></td></tr><tr><td>SB218078</td><td>0.90 ± 0.05</td><td>[EMPTY_CELL]</td><td>0.77 ± 0.03</td><td><b>Moderate synergism</b></td></tr><tr><td>UCN-01</td><td>0.83 ± 0.03</td><td>[EMPTY_CELL]</td><td>0.66 ± 0.04</td><td><b>Synergism</b></td></tr><tr><td>Alsterpaullone</td><td>1.05 ± 0.03</td><td>[EMPTY_CELL]</td><td>1.15 ± 0.03</td><td><i>Slight antagonism</i></td></tr><tr><td>Roscovitine</td><td>0.98 ± 0.03</td><td>[EMPTY_CELL]</td><td>0.98 ± 0.03</td><td>Additive</td></tr><tr><td>Geldanamycin</td><td>0.83 ± 0.04</td><td>[EMPTY_CELL]</td><td>0.38 ± 0.05</td><td><b>Synergism</b></td></tr><tr><td>17-AAG</td><td>1.06 ± 0.10</td><td>[EMPTY_CELL]</td><td>0.87 ± 0.04</td><td><b>Slight synergism</b></td></tr><tr><td>CA-074-Me</td><td>0.91 ± 0.03</td><td>[EMPTY_CELL]</td><td>0.78 ± 0.02</td><td><b>Moderate synergism</b></td></tr><tr><td>Chloroquine</td><td>0.88 ± 0.05</td><td>[EMPTY_CELL]</td><td>0.72 ± 0.05</td><td><b>Moderate synergism</b></td></tr><tr><td>Wortmannin</td><td>1.08 ± 0.05</td><td>[EMPTY_CELL]</td><td>1.12 ± 0.05</td><td><i>Slight antagonism</i></td></tr><tr><td>DRB</td><td>1.08 ± 0.04</td><td>[EMPTY_CELL]</td><td>0.97 ± 0.05</td><td>Additive</td></tr><tr><td>HNMPA-(AM)3</td><td>0.96 ± 0.02</td><td>[EMPTY_CELL]</td><td>0.91 ± 0.03</td><td>Additive</td></tr><tr><td>Puromycin</td><td>1.08 ± 0.03</td><td>[EMPTY_CELL]</td><td>0.88 ± 0.04</td><td><b>Slight synergism</b></td></tr><tr><td>TPEN</td><td>1.16 ± 0.08</td><td>[EMPTY_CELL]</td><td>1.13 ± 0.04</td><td><i>Slight antagonism</i></td></tr><tr><td>5656325</td><td>0.99 ± 0.03</td><td>[EMPTY_CELL]</td><td>1.05 ± 0.05</td><td><i>Slight antagonism</i></td></tr><tr><td>5315179</td><td>1.14 ± 0.09</td><td>[EMPTY_CELL]</td><td>0.94 ± 0.04</td><td>Additive</td></tr><tr><td>7012246</td><td>1.18 ± 0.05</td><td>[EMPTY_CELL]</td><td>0.87 ± 0.04</td><td><b>Slight synergism</b></td></tr><tr><td>5195243</td><td>1.22 ± 0.04</td><td>[EMPTY_CELL]</td><td>1.02 ± 0.02</td><td>Additive</td></tr><tr><td>5373662</td><td>1.08 ± 0.04</td><td>[EMPTY_CELL]</td><td>0.90 ± 0.04</td><td><b>Slight synergism</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Interaction with cisplatin</b>\", \"bbox\": [250, 4, 337, 13]}, {\"cell\": \"<b>2008</b>\", \"bbox\": [175, 17, 194, 26]}, {\"cell\": \"<b>2008 + FANCF</b>\", \"bbox\": [378, 17, 427, 26]}, {\"cell\": \"<b>Chemicals</b>\", \"bbox\": [1, 30, 37, 39]}, {\"cell\": \"<b><i>FA-deficient</i></b>\", \"bbox\": [164, 30, 205, 39]}, {\"cell\": \"<b><i>FA-proficient</i></b>\", \"bbox\": [380, 30, 425, 39]}, {\"cell\": \"<b>CI</b>\", \"bbox\": [102, 43, 111, 52]}, {\"cell\": \"<b>Interpretation</b>\", \"bbox\": [191, 43, 242, 52]}, {\"cell\": \"<b>CI</b>\", \"bbox\": [320, 43, 329, 52]}, {\"cell\": \"<b>Interpretation</b>\", \"bbox\": [409, 43, 460, 52]}, {\"cell\": \"Bortezomib\", \"bbox\": [1, 56, 39, 66]}, {\"cell\": \"1.00 ± 0.05\", \"bbox\": [102, 56, 137, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 56, 220, 66]}, {\"cell\": \"0.88 ± 0.02\", \"bbox\": [320, 56, 355, 66]}, {\"cell\": \"<b>Moderate synergism</b>\", \"bbox\": [409, 56, 484, 66]}, {\"cell\": \"Lactacystin\", \"bbox\": [1, 70, 37, 80]}, {\"cell\": \"0.90 ± 0.05\", \"bbox\": [102, 70, 137, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 70, 253, 80]}, {\"cell\": \"1.02 ± 0.05\", \"bbox\": [320, 70, 355, 80]}, {\"cell\": \"Additive\", \"bbox\": [409, 70, 438, 80]}, {\"cell\": \"MG132\", \"bbox\": [1, 84, 25, 94]}, {\"cell\": \"1.13 ± 0.04\", \"bbox\": [102, 84, 137, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 84, 250, 94]}, {\"cell\": \"1.13 ± 0.05\", \"bbox\": [320, 84, 355, 94]}, {\"cell\": \"<i>Slight antagonism</i>\", \"bbox\": [409, 84, 468, 94]}, {\"cell\": \"ALLN\", \"bbox\": [1, 98, 19, 108]}, {\"cell\": \"1.17 ± 0.04\", \"bbox\": [102, 98, 137, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 98, 250, 108]}, {\"cell\": \"1.06 ± 0.09\", \"bbox\": [320, 98, 355, 108]}, {\"cell\": \"Additive\", \"bbox\": [409, 98, 438, 108]}, {\"cell\": \"5929407\", \"bbox\": [1, 112, 29, 122]}, {\"cell\": \"1.10 ± 0.04\", \"bbox\": [102, 112, 137, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 112, 220, 122]}, {\"cell\": \"1.00 ± 0.04\", \"bbox\": [320, 112, 355, 122]}, {\"cell\": \"Additive\", \"bbox\": [409, 112, 438, 122]}, {\"cell\": \"Curcumin\", \"bbox\": [1, 126, 33, 136]}, {\"cell\": \"0.98 ± 0.02\", \"bbox\": [102, 126, 137, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 126, 220, 136]}, {\"cell\": \"1.06 ± 0.02\", \"bbox\": [320, 126, 355, 136]}, {\"cell\": \"Additive\", \"bbox\": [409, 126, 438, 136]}, {\"cell\": \"H-9\", \"bbox\": [1, 140, 14, 150]}, {\"cell\": \"1.08 ± 0.04\", \"bbox\": [102, 140, 137, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 140, 220, 150]}, {\"cell\": \"0.98 ± 0.04\", \"bbox\": [320, 140, 355, 150]}, {\"cell\": \"Additive\", \"bbox\": [409, 140, 438, 150]}, {\"cell\": \"Gö6976\", \"bbox\": [1, 154, 27, 163]}, {\"cell\": \"0.63 ± 0.04\", \"bbox\": [102, 154, 137, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 154, 231, 163]}, {\"cell\": \"0.68 ± 0.03\", \"bbox\": [320, 154, 355, 163]}, {\"cell\": \"<b>Synergism</b>\", \"bbox\": [409, 154, 449, 163]}, {\"cell\": \"SB218078\", \"bbox\": [1, 168, 33, 177]}, {\"cell\": \"0.90 ± 0.05\", \"bbox\": [102, 168, 137, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 168, 253, 177]}, {\"cell\": \"0.77 ± 0.03\", \"bbox\": [320, 168, 355, 177]}, {\"cell\": \"<b>Moderate synergism</b>\", \"bbox\": [409, 168, 484, 177]}, {\"cell\": \"UCN-01\", \"bbox\": [1, 182, 27, 191]}, {\"cell\": \"0.83 ± 0.03\", \"bbox\": [102, 182, 137, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 182, 266, 191]}, {\"cell\": \"0.66 ± 0.04\", \"bbox\": [320, 182, 355, 191]}, {\"cell\": \"<b>Synergism</b>\", \"bbox\": [409, 182, 449, 191]}, {\"cell\": \"Alsterpaullone\", \"bbox\": [1, 196, 48, 205]}, {\"cell\": \"1.05 ± 0.03\", \"bbox\": [102, 196, 137, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 196, 220, 205]}, {\"cell\": \"1.15 ± 0.03\", \"bbox\": [320, 196, 355, 205]}, {\"cell\": \"<i>Slight antagonism</i>\", \"bbox\": [409, 196, 468, 205]}, {\"cell\": \"Roscovitine\", \"bbox\": [1, 210, 39, 219]}, {\"cell\": \"0.98 ± 0.03\", \"bbox\": [102, 210, 137, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 210, 220, 219]}, {\"cell\": \"0.98 ± 0.03\", \"bbox\": [320, 210, 355, 219]}, {\"cell\": \"Additive\", \"bbox\": [409, 210, 438, 219]}, {\"cell\": \"Geldanamycin\", \"bbox\": [1, 224, 48, 233]}, {\"cell\": \"0.83 ± 0.04\", \"bbox\": [102, 224, 137, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 224, 266, 233]}, {\"cell\": \"0.38 ± 0.05\", \"bbox\": [320, 224, 355, 233]}, {\"cell\": \"<b>Synergism</b>\", \"bbox\": [409, 224, 449, 233]}, {\"cell\": \"17-AAG\", \"bbox\": [1, 238, 27, 247]}, {\"cell\": \"1.06 ± 0.10\", \"bbox\": [102, 238, 137, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 238, 220, 247]}, {\"cell\": \"0.87 ± 0.04\", \"bbox\": [320, 238, 355, 247]}, {\"cell\": \"<b>Slight synergism</b>\", \"bbox\": [409, 238, 471, 247]}, {\"cell\": \"CA-074-Me\", \"bbox\": [1, 252, 38, 261]}, {\"cell\": \"0.91 ± 0.03\", \"bbox\": [102, 252, 137, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 252, 220, 261]}, {\"cell\": \"0.78 ± 0.02\", \"bbox\": [320, 252, 355, 261]}, {\"cell\": \"<b>Moderate synergism</b>\", \"bbox\": [409, 252, 484, 261]}, {\"cell\": \"Chloroquine\", \"bbox\": [1, 266, 42, 275]}, {\"cell\": \"0.88 ± 0.05\", \"bbox\": [102, 266, 137, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 266, 253, 275]}, {\"cell\": \"0.72 ± 0.05\", \"bbox\": [320, 266, 355, 275]}, {\"cell\": \"<b>Moderate synergism</b>\", \"bbox\": [409, 266, 484, 275]}, {\"cell\": \"Wortmannin\", \"bbox\": [1, 280, 42, 289]}, {\"cell\": \"1.08 ± 0.05\", \"bbox\": [102, 280, 137, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 280, 220, 289]}, {\"cell\": \"1.12 ± 0.05\", \"bbox\": [320, 280, 355, 289]}, {\"cell\": \"<i>Slight antagonism</i>\", \"bbox\": [409, 280, 468, 289]}, {\"cell\": \"DRB\", \"bbox\": [1, 293, 16, 303]}, {\"cell\": \"1.08 ± 0.04\", \"bbox\": [102, 293, 137, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 293, 220, 303]}, {\"cell\": \"0.97 ± 0.05\", \"bbox\": [320, 293, 355, 303]}, {\"cell\": \"Additive\", \"bbox\": [409, 293, 438, 303]}, {\"cell\": \"HNMPA-(AM)3\", \"bbox\": [1, 307, 48, 317]}, {\"cell\": \"0.96 ± 0.02\", \"bbox\": [102, 307, 137, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 307, 220, 317]}, {\"cell\": \"0.91 ± 0.03\", \"bbox\": [320, 307, 355, 317]}, {\"cell\": \"Additive\", \"bbox\": [409, 307, 438, 317]}, {\"cell\": \"Puromycin\", \"bbox\": [1, 321, 37, 331]}, {\"cell\": \"1.08 ± 0.03\", \"bbox\": [102, 321, 137, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 321, 220, 331]}, {\"cell\": \"0.88 ± 0.04\", \"bbox\": [320, 321, 355, 331]}, {\"cell\": \"<b>Slight synergism</b>\", \"bbox\": [409, 321, 471, 331]}, {\"cell\": \"TPEN\", \"bbox\": [1, 335, 19, 345]}, {\"cell\": \"1.16 ± 0.08\", \"bbox\": [102, 335, 137, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 335, 250, 345]}, {\"cell\": \"1.13 ± 0.04\", \"bbox\": [320, 335, 355, 345]}, {\"cell\": \"<i>Slight antagonism</i>\", \"bbox\": [409, 335, 468, 345]}, {\"cell\": \"5656325\", \"bbox\": [1, 349, 29, 359]}, {\"cell\": \"0.99 ± 0.03\", \"bbox\": [102, 349, 137, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 349, 220, 359]}, {\"cell\": \"1.05 ± 0.05\", \"bbox\": [320, 349, 355, 359]}, {\"cell\": \"<i>Slight antagonism</i>\", \"bbox\": [409, 349, 468, 359]}, {\"cell\": \"5315179\", \"bbox\": [1, 363, 29, 373]}, {\"cell\": \"1.14 ± 0.09\", \"bbox\": [102, 363, 137, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 363, 250, 373]}, {\"cell\": \"0.94 ± 0.04\", \"bbox\": [320, 363, 355, 373]}, {\"cell\": \"Additive\", \"bbox\": [409, 363, 438, 373]}, {\"cell\": \"7012246\", \"bbox\": [1, 377, 29, 387]}, {\"cell\": \"1.18 ± 0.05\", \"bbox\": [102, 377, 137, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 377, 250, 386]}, {\"cell\": \"0.87 ± 0.04\", \"bbox\": [320, 377, 355, 387]}, {\"cell\": \"<b>Slight synergism</b>\", \"bbox\": [409, 377, 471, 387]}, {\"cell\": \"5195243\", \"bbox\": [1, 391, 29, 401]}, {\"cell\": \"1.22 ± 0.04\", \"bbox\": [102, 391, 137, 401]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 391, 262, 400]}, {\"cell\": \"1.02 ± 0.02\", \"bbox\": [320, 391, 355, 401]}, {\"cell\": \"Additive\", \"bbox\": [409, 391, 438, 401]}, {\"cell\": \"5373662\", \"bbox\": [1, 405, 29, 414]}, {\"cell\": \"1.08 ± 0.04\", \"bbox\": [102, 405, 137, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 405, 220, 414]}, {\"cell\": \"0.90 ± 0.04\", \"bbox\": [320, 405, 355, 414]}, {\"cell\": \"<b>Slight synergism</b>\", \"bbox\": [409, 405, 471, 414]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3478989_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}380{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Independent variables</b></td><td colspan=\\\"2\\\"><b>All independent variables (n = 149)</b></td><td colspan=\\\"2\\\"><b>The five variables with highest β in the initial multivariate analyses (n = 168)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>β</b></td><td><b><i>p</i></b></td><td><b>β</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>-0.008</td><td>0.918</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>-0.033</td><td>0.601</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>-0.431</td><td>0.000*</td><td>-0.448</td><td>0.000*</td></tr><tr><td>[EMPTY_CELL]</td><td>0.078</td><td>0.250</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.149</td><td>0.016*</td><td>0.136</td><td>0.016*</td></tr><tr><td>[EMPTY_CELL]</td><td>0.063</td><td>0.471</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>-0.155</td><td>0.173</td><td>-0.146</td><td>0.032*</td></tr><tr><td>[EMPTY_CELL]</td><td>-0.004</td><td>0.970</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.003</td><td>0.968</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.139</td><td>0.120</td><td>0.226</td><td>0.001*</td></tr><tr><td>[EMPTY_CELL]</td><td>0.036</td><td>0.665</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.057</td><td>0.480</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.104</td><td>0.104</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.107</td><td>0.124</td><td>0.096</td><td>0.113</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">Adj R2 = 0.494, (F 14, 134) = 11.303, <i>p</i> = 0.000</td><td colspan=\\\"2\\\">Adj R2 = 0.509, F(5, 162) = 35.611, <i>p</i> = 0.000</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Independent variables</b>\", \"bbox\": [1, 5, 74, 14]}, {\"cell\": \"<b>All independent variables (n = 149)</b>\", \"bbox\": [102, 5, 216, 14]}, {\"cell\": \"<b>The five variables with highest β in the initial multivariate analyses (n = 168)</b>\", \"bbox\": [252, 5, 484, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>β</b>\", \"bbox\": [102, 18, 109, 27]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [176, 20, 182, 27]}, {\"cell\": \"<b>β</b>\", \"bbox\": [252, 18, 258, 27]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [370, 20, 376, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 15, 40]}, {\"cell\": \"-0.008\", \"bbox\": [102, 31, 123, 40]}, {\"cell\": \"0.918\", \"bbox\": [176, 31, 195, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 26, 54]}, {\"cell\": \"-0.033\", \"bbox\": [102, 45, 123, 54]}, {\"cell\": \"0.601\", \"bbox\": [176, 45, 195, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 43, 68]}, {\"cell\": \"-0.431\", \"bbox\": [102, 59, 123, 68]}, {\"cell\": \"0.000*\", \"bbox\": [176, 59, 198, 68]}, {\"cell\": \"-0.448\", \"bbox\": [252, 59, 273, 68]}, {\"cell\": \"0.000*\", \"bbox\": [370, 59, 391, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 59, 82]}, {\"cell\": \"0.078\", \"bbox\": [102, 73, 121, 82]}, {\"cell\": \"0.250\", \"bbox\": [176, 73, 195, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 34, 96]}, {\"cell\": \"0.149\", \"bbox\": [102, 87, 121, 96]}, {\"cell\": \"0.016*\", \"bbox\": [176, 87, 198, 96]}, {\"cell\": \"0.136\", \"bbox\": [252, 87, 270, 96]}, {\"cell\": \"0.016*\", \"bbox\": [370, 87, 391, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 37, 110]}, {\"cell\": \"0.063\", \"bbox\": [102, 101, 121, 110]}, {\"cell\": \"0.471\", \"bbox\": [176, 101, 195, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 48, 124]}, {\"cell\": \"-0.155\", \"bbox\": [102, 115, 123, 124]}, {\"cell\": \"0.173\", \"bbox\": [176, 115, 195, 124]}, {\"cell\": \"-0.146\", \"bbox\": [252, 115, 273, 124]}, {\"cell\": \"0.032*\", \"bbox\": [370, 115, 391, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 73, 138]}, {\"cell\": \"-0.004\", \"bbox\": [102, 129, 123, 138]}, {\"cell\": \"0.970\", \"bbox\": [176, 129, 195, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 26, 152]}, {\"cell\": \"0.003\", \"bbox\": [102, 143, 121, 152]}, {\"cell\": \"0.968\", \"bbox\": [176, 143, 195, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 91, 166]}, {\"cell\": \"0.139\", \"bbox\": [102, 157, 121, 166]}, {\"cell\": \"0.120\", \"bbox\": [176, 157, 195, 166]}, {\"cell\": \"0.226\", \"bbox\": [252, 157, 270, 166]}, {\"cell\": \"0.001*\", \"bbox\": [370, 157, 391, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 76, 180]}, {\"cell\": \"0.036\", \"bbox\": [102, 171, 121, 180]}, {\"cell\": \"0.665\", \"bbox\": [176, 171, 195, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 46, 194]}, {\"cell\": \"0.057\", \"bbox\": [102, 185, 121, 194]}, {\"cell\": \"0.480\", \"bbox\": [176, 185, 195, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 91, 208]}, {\"cell\": \"0.104\", \"bbox\": [102, 199, 121, 208]}, {\"cell\": \"0.104\", \"bbox\": [176, 199, 195, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 98, 222]}, {\"cell\": \"0.107\", \"bbox\": [102, 213, 121, 222]}, {\"cell\": \"0.124\", \"bbox\": [176, 213, 195, 222]}, {\"cell\": \"0.096\", \"bbox\": [252, 213, 270, 222]}, {\"cell\": \"0.113\", \"bbox\": [370, 213, 388, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Adj R2 = 0.494, (F 14, 134) = 11.303, <i>p</i> = 0.000\", \"bbox\": [102, 227, 247, 236]}, {\"cell\": \"Adj R2 = 0.509, F(5, 162) = 35.611, <i>p</i> = 0.000\", \"bbox\": [252, 227, 390, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4665858_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}381{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Antigen</b></td><td><b>Immunization strategy</b></td><td><b>Adjuvant</b></td><td><b>Protection level (%)</b></td><td><b>Humoral response</b></td><td><b>Cellular response</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>DNA vaccine</td><td>None</td><td>39</td><td>[EMPTY_CELL]</td><td>Prolif. IFN-γ, IL-4</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>IL-2</td><td>57</td><td>↑IgG, IgG2a and b</td><td>↑Prolif. ↑IFN-γ ↓IL-4</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>IL-12</td><td>45</td><td>↑IgG, IgG2a and b</td><td>↑Prolif. ↑IFN-γ ↓IL-4</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>IL-4</td><td>44</td><td>↑IgG3</td><td>Prolif. IFN-γ ↑IL-4</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GM-CSF</td><td>42</td><td>↑IgG, IgG1</td><td>Prolif. IFN-γ ↑IL-4</td><td>[EMPTY_CELL]</td></tr><tr><td>Smp-80</td><td>Prime E boost</td><td>Resiquimod (R848)</td><td>49</td><td>↑IgG, IgG1, IgG2a and b, IgG3, IgA, IgM</td><td>IL-2 and IFN-γ</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Recombinant protein</td><td>Resiquimod (R848)</td><td>51</td><td>↑IgG, IgG1, IgG2a and b, IgG3, IgA, IgM</td><td>IL-2 and IFN-γ</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CpG-ODN</td><td>52.86</td><td>IgG, IgG1, IgG2b, IgG3, IgM</td><td>ADCC AND NO production</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Recombinant protein</td><td>None</td><td>25</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>FA</td><td>25</td><td>↑IgG2a</td><td>[EMPTY_CELL]</td></tr><tr><td>Sm14</td><td>[EMPTY_CELL]</td><td>rIL-12</td><td>42.2</td><td>↑IgG2a</td><td>Protection is dependent on IFN-γ and TNF-α production</td></tr><tr><td>[EMPTY_CELL]</td><td>DNA vaccine</td><td>None</td><td>40.5</td><td>IgG</td><td>IFN-γ by SC and BAL cells</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Synthetic peptides</td><td>FA + Padre</td><td>26–36.7</td><td>IgG1, IgG2a</td><td>IFN-γ IL-10</td><td>[EMPTY_CELL]</td></tr><tr><td>Sm29</td><td>Recombinant protein</td><td>FA</td><td>51</td><td>IgG1, IgG2a</td><td>IFN-γ, TNF-α, IL-10</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CpG-Alum</td><td>20</td><td>IgG, IgG1, IgG2a</td><td>IFN-γ</td><td>[EMPTY_CELL]</td></tr><tr><td>TSP-1</td><td>Recombinant protein</td><td>FA</td><td>29–38</td><td>IgG1, IgG2a</td><td>Not reported</td><td>[EMPTY_CELL]</td></tr><tr><td>TSP-2</td><td>Recombinant protein</td><td>FA</td><td>53–61</td><td>IgG1, IgG2a</td><td>Not reported</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Alum + CpG</td><td>25–27</td><td>IgG, IgG1<sup>a</sup></td><td>IL-4, IFN-γ, and IL-10<sup>b</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Purified protein</td><td>FA</td><td>40–68.3</td><td>Not reported</td><td>Eosinophils (ADCC)</td><td>[EMPTY_CELL]</td></tr><tr><td>Sm28GST</td><td>Recombinant protein</td><td>Alum</td><td>46</td><td>Not significant</td><td>IL-2 and IFN-γ</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>DNA vaccine</td><td>IL-18</td><td>23</td><td>Not significant</td><td>IFN-γ</td><td>[EMPTY_CELL]</td></tr><tr><td>Sh28GST</td><td>Recombinant protein</td><td>FA</td><td>77 (fecundity)</td><td>IgG and IgA</td><td>Not reported</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>BCG</td><td>60</td><td>IgG</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Antigen</b>\", \"bbox\": [1, 6, 31, 16]}, {\"cell\": \"<b>Immunization strategy</b>\", \"bbox\": [51, 6, 103, 27]}, {\"cell\": \"<b>Adjuvant</b>\", \"bbox\": [136, 6, 170, 16]}, {\"cell\": \"<b>Protection level (%)</b>\", \"bbox\": [203, 6, 242, 27]}, {\"cell\": \"<b>Humoral response</b>\", \"bbox\": [267, 6, 334, 16]}, {\"cell\": \"<b>Cellular response</b>\", \"bbox\": [355, 6, 418, 16]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [471, 6, 508, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DNA vaccine\", \"bbox\": [51, 38, 96, 47]}, {\"cell\": \"None\", \"bbox\": [137, 38, 157, 47]}, {\"cell\": \"39\", \"bbox\": [203, 38, 214, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prolif. IFN-γ, IL-4\", \"bbox\": [355, 38, 412, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 38, 498, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-2\", \"bbox\": [137, 49, 151, 58]}, {\"cell\": \"57\", \"bbox\": [203, 49, 214, 58]}, {\"cell\": \"↑IgG, IgG2a and b\", \"bbox\": [267, 49, 331, 58]}, {\"cell\": \"↑Prolif. ↑IFN-γ ↓IL-4\", \"bbox\": [355, 49, 430, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-12\", \"bbox\": [137, 61, 155, 70]}, {\"cell\": \"45\", \"bbox\": [203, 61, 214, 70]}, {\"cell\": \"↑IgG, IgG2a and b\", \"bbox\": [267, 61, 331, 70]}, {\"cell\": \"↑Prolif. ↑IFN-γ ↓IL-4\", \"bbox\": [355, 61, 430, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-4\", \"bbox\": [137, 72, 151, 81]}, {\"cell\": \"44\", \"bbox\": [203, 72, 214, 81]}, {\"cell\": \"↑IgG3\", \"bbox\": [267, 72, 291, 81]}, {\"cell\": \"Prolif. IFN-γ ↑IL-4\", \"bbox\": [355, 72, 417, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GM-CSF\", \"bbox\": [137, 83, 167, 92]}, {\"cell\": \"42\", \"bbox\": [203, 83, 214, 92]}, {\"cell\": \"↑IgG, IgG1\", \"bbox\": [267, 83, 307, 93]}, {\"cell\": \"Prolif. IFN-γ ↑IL-4\", \"bbox\": [355, 83, 417, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smp-80\", \"bbox\": [1, 95, 29, 104]}, {\"cell\": \"Prime E boost\", \"bbox\": [51, 95, 100, 104]}, {\"cell\": \"Resiquimod (R848)\", \"bbox\": [137, 95, 178, 115]}, {\"cell\": \"49\", \"bbox\": [203, 95, 214, 104]}, {\"cell\": \"↑IgG, IgG1, IgG2a and b, IgG3, IgA, IgM\", \"bbox\": [267, 95, 340, 115]}, {\"cell\": \"IL-2 and IFN-γ\", \"bbox\": [355, 95, 403, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 95, 486, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 118, 123, 127]}, {\"cell\": \"Resiquimod (R848)\", \"bbox\": [137, 118, 178, 138]}, {\"cell\": \"51\", \"bbox\": [203, 118, 214, 127]}, {\"cell\": \"↑IgG, IgG1, IgG2a and b, IgG3, IgA, IgM\", \"bbox\": [267, 118, 340, 138]}, {\"cell\": \"IL-2 and IFN-γ\", \"bbox\": [355, 118, 403, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CpG-ODN\", \"bbox\": [137, 141, 172, 150]}, {\"cell\": \"52.86\", \"bbox\": [203, 141, 224, 150]}, {\"cell\": \"IgG, IgG1, IgG2b, IgG3, IgM\", \"bbox\": [267, 141, 327, 161]}, {\"cell\": \"ADCC AND NO production\", \"bbox\": [355, 141, 446, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 141, 498, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 172, 123, 181]}, {\"cell\": \"None\", \"bbox\": [137, 172, 157, 181]}, {\"cell\": \"25\", \"bbox\": [203, 172, 214, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 172, 486, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FA\", \"bbox\": [137, 183, 147, 192]}, {\"cell\": \"25\", \"bbox\": [203, 183, 214, 192]}, {\"cell\": \"↑IgG2a\", \"bbox\": [267, 183, 295, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sm14\", \"bbox\": [1, 195, 23, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rIL-12\", \"bbox\": [137, 195, 158, 204]}, {\"cell\": \"42.2\", \"bbox\": [203, 195, 220, 204]}, {\"cell\": \"↑IgG2a\", \"bbox\": [267, 195, 295, 204]}, {\"cell\": \"Protection is dependent on IFN-γ and TNF-α production\", \"bbox\": [355, 195, 447, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DNA vaccine\", \"bbox\": [51, 218, 96, 227]}, {\"cell\": \"None\", \"bbox\": [137, 218, 157, 227]}, {\"cell\": \"40.5\", \"bbox\": [203, 218, 220, 227]}, {\"cell\": \"IgG\", \"bbox\": [267, 218, 280, 227]}, {\"cell\": \"IFN-γ by SC and BAL cells\", \"bbox\": [355, 218, 443, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 218, 486, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Synthetic peptides\", \"bbox\": [51, 229, 115, 238]}, {\"cell\": \"FA + Padre\", \"bbox\": [137, 229, 175, 238]}, {\"cell\": \"26–36.7\", \"bbox\": [203, 229, 232, 238]}, {\"cell\": \"IgG1, IgG2a\", \"bbox\": [267, 229, 308, 238]}, {\"cell\": \"IFN-γ IL-10\", \"bbox\": [355, 229, 393, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 229, 486, 238]}, {\"cell\": \"Sm29\", \"bbox\": [1, 249, 23, 258]}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 249, 123, 258]}, {\"cell\": \"FA\", \"bbox\": [137, 249, 147, 258]}, {\"cell\": \"51\", \"bbox\": [203, 249, 214, 258]}, {\"cell\": \"IgG1, IgG2a\", \"bbox\": [267, 249, 308, 258]}, {\"cell\": \"IFN-γ, TNF-α, IL-10\", \"bbox\": [355, 249, 417, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 249, 486, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CpG-Alum\", \"bbox\": [137, 260, 173, 269]}, {\"cell\": \"20\", \"bbox\": [203, 260, 214, 269]}, {\"cell\": \"IgG, IgG1, IgG2a\", \"bbox\": [267, 260, 324, 269]}, {\"cell\": \"IFN-γ\", \"bbox\": [355, 260, 375, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 260, 485, 269]}, {\"cell\": \"TSP-1\", \"bbox\": [1, 280, 22, 289]}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 280, 123, 289]}, {\"cell\": \"FA\", \"bbox\": [137, 280, 147, 289]}, {\"cell\": \"29–38\", \"bbox\": [203, 280, 226, 289]}, {\"cell\": \"IgG1, IgG2a\", \"bbox\": [267, 280, 308, 289]}, {\"cell\": \"Not reported\", \"bbox\": [355, 280, 399, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 280, 486, 289]}, {\"cell\": \"TSP-2\", \"bbox\": [1, 299, 22, 308]}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 299, 123, 308]}, {\"cell\": \"FA\", \"bbox\": [137, 299, 147, 308]}, {\"cell\": \"53–61\", \"bbox\": [203, 299, 226, 308]}, {\"cell\": \"IgG1, IgG2a\", \"bbox\": [267, 299, 308, 308]}, {\"cell\": \"Not reported\", \"bbox\": [355, 299, 399, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 299, 486, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alum + CpG\", \"bbox\": [137, 311, 179, 320]}, {\"cell\": \"25–27\", \"bbox\": [203, 311, 226, 320]}, {\"cell\": \"IgG, IgG1<sup>a</sup>\", \"bbox\": [267, 310, 303, 320]}, {\"cell\": \"IL-4, IFN-γ, and IL-10<sup>b</sup>\", \"bbox\": [355, 310, 429, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 311, 486, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Purified protein\", \"bbox\": [51, 331, 104, 340]}, {\"cell\": \"FA\", \"bbox\": [137, 331, 147, 340]}, {\"cell\": \"40–68.3\", \"bbox\": [203, 331, 232, 340]}, {\"cell\": \"Not reported\", \"bbox\": [267, 331, 311, 340]}, {\"cell\": \"Eosinophils (ADCC)\", \"bbox\": [355, 331, 421, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 331, 485, 340]}, {\"cell\": \"Sm28GST\", \"bbox\": [1, 342, 37, 351]}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 342, 123, 351]}, {\"cell\": \"Alum\", \"bbox\": [137, 342, 156, 351]}, {\"cell\": \"46\", \"bbox\": [203, 342, 214, 351]}, {\"cell\": \"Not significant\", \"bbox\": [267, 342, 317, 351]}, {\"cell\": \"IL-2 and IFN-γ\", \"bbox\": [355, 342, 403, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 342, 486, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DNA vaccine\", \"bbox\": [51, 353, 96, 362]}, {\"cell\": \"IL-18\", \"bbox\": [137, 353, 155, 362]}, {\"cell\": \"23\", \"bbox\": [203, 353, 214, 362]}, {\"cell\": \"Not significant\", \"bbox\": [267, 353, 317, 362]}, {\"cell\": \"IFN-γ\", \"bbox\": [355, 353, 375, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 353, 486, 362]}, {\"cell\": \"Sh28GST\", \"bbox\": [1, 373, 34, 382]}, {\"cell\": \"Recombinant protein\", \"bbox\": [51, 373, 123, 382]}, {\"cell\": \"FA\", \"bbox\": [137, 373, 147, 382]}, {\"cell\": \"77 (fecundity)\", \"bbox\": [203, 373, 250, 382]}, {\"cell\": \"IgG and IgA\", \"bbox\": [267, 373, 308, 382]}, {\"cell\": \"Not reported\", \"bbox\": [355, 373, 399, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 373, 486, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BCG\", \"bbox\": [137, 385, 154, 393]}, {\"cell\": \"60\", \"bbox\": [203, 385, 214, 393]}, {\"cell\": \"IgG\", \"bbox\": [267, 385, 280, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4353369_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}382{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>PDS (N = 2095)</b></td><td colspan=\\\"2\\\"><b>GHQ (N = 2155)</b></td></tr><tr><td><b>Bivariate correlations</b></td><td><b>OLS<sup>a</sup></b></td><td><b>Bivariate correlations</b></td><td><b>OLS<sup>a</sup></b></td></tr></thead><tbody><tr><td>In town at time of explosion</td><td>0.35</td><td>2.02** (0.62)</td><td>[EMPTY_CELL]</td><td>0.15 (0.27)</td></tr><tr><td>In town after explosion</td><td>0.26</td><td>0.47 (0.49)</td><td>[EMPTY_CELL]</td><td>0.06 (0.21)</td></tr><tr><td>Was hurt</td><td>0.33</td><td>4.31** (1.63)</td><td>[EMPTY_CELL]</td><td>2.39** (0.71)</td></tr><tr><td>Left with injury or scar</td><td>0.29</td><td>−1.1 (2.04)</td><td>[EMPTY_CELL]</td><td>−0.51 (0.89)</td></tr><tr><td>Saw doctor afterwards</td><td>0.38</td><td>7.25** (1.38)</td><td>[EMPTY_CELL]</td><td>1.68** (0.61)</td></tr><tr><td>Attended hospital</td><td>0.32</td><td>0.95 (1.77)</td><td>[EMPTY_CELL]</td><td>−1.23 (0.78)</td></tr><tr><td>Saw people who were going to die</td><td>0.35</td><td>2.23** (0.8)</td><td>[EMPTY_CELL]</td><td>0.29 (0.35)</td></tr><tr><td>Saw people dead</td><td>0.33</td><td>1.41 (0.81)</td><td>[EMPTY_CELL]</td><td>0.41 (0.36)</td></tr><tr><td>Person close to them hurt</td><td>0.23</td><td>1.55** (0.41)</td><td>[EMPTY_CELL]</td><td>0.82** (0.18)</td></tr><tr><td>Person close to them died</td><td>0.23</td><td>2.37** (0.36)</td><td>[EMPTY_CELL]</td><td>0.36* (0.16)</td></tr><tr><td>Other acquaintance hurt</td><td>−0.14</td><td>0.45 (0.42)</td><td>[EMPTY_CELL]</td><td>0.27 (0.18)</td></tr><tr><td>Other acquaintance died</td><td>−0.03</td><td>0.54 (0.31)</td><td>[EMPTY_CELL]</td><td>0.00 (0.13)</td></tr><tr><td>Life was under threat</td><td>0.27</td><td>3.4** (1.17)</td><td>[EMPTY_CELL]</td><td>1.39** (0.51)</td></tr><tr><td>Saw others hurt</td><td>0.33</td><td>0.27 (0.7)</td><td>[EMPTY_CELL]</td><td>0.32 (0.31)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>PDS (N = 2095)</b>\", \"bbox\": [151, 4, 204, 13]}, {\"cell\": \"<b>GHQ (N = 2155)</b>\", \"bbox\": [335, 4, 390, 13]}, {\"cell\": \"<b>Bivariate correlations</b>\", \"bbox\": [151, 17, 227, 26]}, {\"cell\": \"<b>OLS<sup>a</sup></b>\", \"bbox\": [260, 15, 279, 26]}, {\"cell\": \"<b>Bivariate correlations</b>\", \"bbox\": [335, 17, 410, 26]}, {\"cell\": \"<b>OLS<sup>a</sup></b>\", \"bbox\": [444, 15, 463, 26]}, {\"cell\": \"In town at time of explosion\", \"bbox\": [1, 30, 94, 40]}, {\"cell\": \"0.35\", \"bbox\": [151, 30, 166, 40]}, {\"cell\": \"2.02** (0.62)\", \"bbox\": [260, 30, 301, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 30, 350, 40]}, {\"cell\": \"0.15 (0.27)\", \"bbox\": [444, 30, 478, 40]}, {\"cell\": \"In town after explosion\", \"bbox\": [1, 44, 77, 54]}, {\"cell\": \"0.26\", \"bbox\": [151, 44, 166, 54]}, {\"cell\": \"0.47 (0.49)\", \"bbox\": [260, 44, 295, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 44, 350, 54]}, {\"cell\": \"0.06 (0.21)\", \"bbox\": [444, 44, 478, 54]}, {\"cell\": \"Was hurt\", \"bbox\": [1, 58, 31, 68]}, {\"cell\": \"0.33\", \"bbox\": [151, 58, 166, 68]}, {\"cell\": \"4.31** (1.63)\", \"bbox\": [260, 58, 301, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 58, 350, 68]}, {\"cell\": \"2.39** (0.71)\", \"bbox\": [444, 58, 484, 68]}, {\"cell\": \"Left with injury or scar\", \"bbox\": [1, 72, 74, 82]}, {\"cell\": \"0.29\", \"bbox\": [151, 72, 166, 82]}, {\"cell\": \"−1.1 (2.04)\", \"bbox\": [260, 72, 296, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 72, 350, 82]}, {\"cell\": \"−0.51 (0.89)\", \"bbox\": [444, 72, 483, 82]}, {\"cell\": \"Saw doctor afterwards\", \"bbox\": [1, 86, 74, 96]}, {\"cell\": \"0.38\", \"bbox\": [151, 86, 166, 96]}, {\"cell\": \"7.25** (1.38)\", \"bbox\": [260, 86, 301, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 86, 350, 96]}, {\"cell\": \"1.68** (0.61)\", \"bbox\": [444, 86, 484, 96]}, {\"cell\": \"Attended hospital\", \"bbox\": [1, 100, 60, 110]}, {\"cell\": \"0.32\", \"bbox\": [151, 100, 166, 110]}, {\"cell\": \"0.95 (1.77)\", \"bbox\": [260, 100, 295, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 100, 350, 110]}, {\"cell\": \"−1.23 (0.78)\", \"bbox\": [444, 100, 483, 110]}, {\"cell\": \"Saw people who were going to die\", \"bbox\": [1, 114, 117, 124]}, {\"cell\": \"0.35\", \"bbox\": [151, 114, 166, 124]}, {\"cell\": \"2.23** (0.8)\", \"bbox\": [260, 114, 297, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 114, 350, 124]}, {\"cell\": \"0.29 (0.35)\", \"bbox\": [444, 114, 478, 124]}, {\"cell\": \"Saw people dead\", \"bbox\": [1, 128, 58, 138]}, {\"cell\": \"0.33\", \"bbox\": [151, 128, 166, 138]}, {\"cell\": \"1.41 (0.81)\", \"bbox\": [260, 128, 295, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 128, 350, 138]}, {\"cell\": \"0.41 (0.36)\", \"bbox\": [444, 128, 478, 138]}, {\"cell\": \"Person close to them hurt\", \"bbox\": [1, 142, 86, 152]}, {\"cell\": \"0.23\", \"bbox\": [151, 142, 166, 152]}, {\"cell\": \"1.55** (0.41)\", \"bbox\": [260, 142, 301, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 142, 350, 152]}, {\"cell\": \"0.82** (0.18)\", \"bbox\": [444, 142, 484, 152]}, {\"cell\": \"Person close to them died\", \"bbox\": [1, 156, 87, 166]}, {\"cell\": \"0.23\", \"bbox\": [151, 156, 166, 166]}, {\"cell\": \"2.37** (0.36)\", \"bbox\": [260, 156, 301, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 156, 350, 166]}, {\"cell\": \"0.36* (0.16)\", \"bbox\": [444, 156, 481, 166]}, {\"cell\": \"Other acquaintance hurt\", \"bbox\": [1, 170, 81, 180]}, {\"cell\": \"−0.14\", \"bbox\": [151, 170, 171, 180]}, {\"cell\": \"0.45 (0.42)\", \"bbox\": [260, 170, 295, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 170, 354, 180]}, {\"cell\": \"0.27 (0.18)\", \"bbox\": [444, 170, 478, 180]}, {\"cell\": \"Other acquaintance died\", \"bbox\": [1, 184, 82, 194]}, {\"cell\": \"−0.03\", \"bbox\": [151, 184, 171, 194]}, {\"cell\": \"0.54 (0.31)\", \"bbox\": [260, 184, 295, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 184, 354, 194]}, {\"cell\": \"0.00 (0.13)\", \"bbox\": [444, 184, 478, 194]}, {\"cell\": \"Life was under threat\", \"bbox\": [1, 198, 71, 208]}, {\"cell\": \"0.27\", \"bbox\": [151, 198, 166, 208]}, {\"cell\": \"3.4** (1.17)\", \"bbox\": [260, 198, 297, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 198, 350, 208]}, {\"cell\": \"1.39** (0.51)\", \"bbox\": [444, 198, 484, 208]}, {\"cell\": \"Saw others hurt\", \"bbox\": [1, 212, 53, 222]}, {\"cell\": \"0.33\", \"bbox\": [151, 212, 166, 222]}, {\"cell\": \"0.27 (0.7)\", \"bbox\": [260, 212, 291, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 212, 350, 222]}, {\"cell\": \"0.32 (0.31)\", \"bbox\": [444, 212, 478, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4329658_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}383{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Combination treatment</b></td><td><b>Species</b></td><td><b>Age</b></td><td><b>Additive effects</b></td><td><b>Hypothermia started</b></td><td><b>Other intervention started</b></td><td><b>Comment</b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>Non-human primates (51)</td><td>Full term</td><td>Yes (survival, motor, cognitive responses, cerebellar growth, and MRI)</td><td>Immediately</td><td>30 min</td><td>Hypothermia for 72 h</td></tr><tr><td>[EMPTY_CELL]</td><td>P7</td><td>No (sensorimotor, histopathology)</td><td>1 h</td><td>Immediately</td><td>Hypothermia for 8 h</td></tr><tr><td>[EMPTY_CELL]</td><td>P7</td><td>Borderline (sensorimotor, histopathology)</td><td>Immediately</td><td>Immediately</td><td>Hypothermia for 3 h</td></tr><tr><td>[EMPTY_CELL]</td><td>Neonatal rat (54)</td><td>P7</td><td>Yes (histology, MRI, functional)</td><td>6 h</td><td>6 h</td><td>Hypothermia: 32°C for 24 h</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Newborn piglet (55)</td><td>Full-term</td><td>Yes (MRS, histology)</td><td>2 h</td><td>10 min</td><td>Hypothermia for 26 h</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Fetal sheep (49, 56)</td><td>0.85 gestation (term equivalent)</td><td>No (EEG and histology)</td><td>5.5 h</td><td>4.5 h</td><td>Hypothermia for 72 h</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>Neonatal rats (57)</td><td>P7</td><td>Yes (histology, functional)</td><td>4 h</td><td>4 h</td><td>Hypothermia for 90 min</td></tr><tr><td>[EMPTY_CELL]</td><td>Term</td><td>Yes (neuropathology, clinical neurology)</td><td><40 min</td><td>30 min</td><td>Hypothermia for 12–24 h</td></tr><tr><td>[EMPTY_CELL]</td><td>Term</td><td>No (trend, MRS, histology)</td><td>2 h</td><td>2 h</td><td>Hypothermia for 24 h</td></tr><tr><td>[EMPTY_CELL]</td><td>Term</td><td>Yes (seizures only)</td><td><12 h</td><td><12 h</td><td>Reduced seizures</td></tr><tr><td>[EMPTY_CELL]</td><td>Neonatal rats (61)</td><td>P7</td><td>Yes (histology, MRI, functional)</td><td>1–3 h</td><td>15 min</td><td>Hypothermia: 30°C for 3 h</td></tr><tr><td>[EMPTY_CELL]</td><td>Fetal sheep (50)</td><td>0.7 gestation</td><td>No (EEG and histology)</td><td>5.5 h</td><td>15 min</td><td>Hypothermia for 72 h</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Fetal sheep (48)</td><td>0.85 gestation (term equivalent)</td><td>No (EEG and histology)</td><td>3 h</td><td>3 h</td><td>Hypothermia for 72 h</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Combination treatment</b>\", \"bbox\": [1, 6, 45, 24]}, {\"cell\": \"<b>Species</b>\", \"bbox\": [79, 6, 108, 15]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [156, 6, 171, 15]}, {\"cell\": \"<b>Additive effects</b>\", \"bbox\": [237, 6, 290, 15]}, {\"cell\": \"<b>Hypothermia started</b>\", \"bbox\": [408, 6, 452, 24]}, {\"cell\": \"<b>Other intervention started</b>\", \"bbox\": [473, 6, 535, 24]}, {\"cell\": \"<b>Comment</b>\", \"bbox\": [552, 6, 587, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 33, 126, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 46, 44, 55]}, {\"cell\": \"Non-human primates (51)\", \"bbox\": [79, 46, 121, 64]}, {\"cell\": \"Full term\", \"bbox\": [156, 46, 183, 55]}, {\"cell\": \"Yes (survival, motor, cognitive responses, cerebellar growth, and MRI)\", \"bbox\": [237, 46, 393, 64]}, {\"cell\": \"Immediately\", \"bbox\": [408, 46, 446, 55]}, {\"cell\": \"30 min\", \"bbox\": [473, 46, 496, 55]}, {\"cell\": \"Hypothermia for 72 h\", \"bbox\": [552, 46, 618, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 65, 131, 74]}, {\"cell\": \"P7\", \"bbox\": [156, 65, 166, 74]}, {\"cell\": \"No (sensorimotor, histopathology)\", \"bbox\": [237, 65, 339, 74]}, {\"cell\": \"1 h\", \"bbox\": [408, 65, 419, 74]}, {\"cell\": \"Immediately\", \"bbox\": [473, 65, 511, 74]}, {\"cell\": \"Hypothermia for 8 h\", \"bbox\": [552, 65, 614, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 75, 131, 83]}, {\"cell\": \"P7\", \"bbox\": [156, 75, 166, 83]}, {\"cell\": \"Borderline (sensorimotor, histopathology)\", \"bbox\": [237, 75, 361, 83]}, {\"cell\": \"Immediately\", \"bbox\": [408, 75, 446, 83]}, {\"cell\": \"Immediately\", \"bbox\": [473, 75, 511, 83]}, {\"cell\": \"Hypothermia for 3 h\", \"bbox\": [552, 75, 614, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 84, 34, 93]}, {\"cell\": \"Neonatal rat (54)\", \"bbox\": [79, 84, 131, 93]}, {\"cell\": \"P7\", \"bbox\": [156, 84, 166, 93]}, {\"cell\": \"Yes (histology, MRI, functional)\", \"bbox\": [237, 84, 329, 93]}, {\"cell\": \"6 h\", \"bbox\": [408, 84, 419, 93]}, {\"cell\": \"6 h\", \"bbox\": [473, 84, 485, 93]}, {\"cell\": \"Hypothermia: 32°C for 24 h\", \"bbox\": [552, 84, 637, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 98, 111, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 32, 120]}, {\"cell\": \"Newborn piglet (55)\", \"bbox\": [79, 111, 140, 120]}, {\"cell\": \"Full-term\", \"bbox\": [156, 111, 184, 120]}, {\"cell\": \"Yes (MRS, histology)\", \"bbox\": [237, 111, 300, 120]}, {\"cell\": \"2 h\", \"bbox\": [408, 111, 419, 120]}, {\"cell\": \"10 min\", \"bbox\": [473, 111, 496, 120]}, {\"cell\": \"Hypothermia for 26 h\", \"bbox\": [552, 111, 618, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 125, 50, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 17, 147]}, {\"cell\": \"Fetal sheep (49, 56)\", \"bbox\": [79, 138, 141, 147]}, {\"cell\": \"0.85 gestation (term equivalent)\", \"bbox\": [156, 138, 218, 156]}, {\"cell\": \"No (EEG and histology)\", \"bbox\": [237, 138, 308, 147]}, {\"cell\": \"5.5 h\", \"bbox\": [408, 138, 425, 147]}, {\"cell\": \"4.5 h\", \"bbox\": [473, 138, 490, 147]}, {\"cell\": \"Hypothermia for 72 h\", \"bbox\": [552, 138, 618, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 161, 77, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 175, 22, 183]}, {\"cell\": \"Neonatal rats (57)\", \"bbox\": [79, 175, 135, 183]}, {\"cell\": \"P7\", \"bbox\": [156, 175, 166, 183]}, {\"cell\": \"Yes (histology, functional)\", \"bbox\": [237, 175, 313, 183]}, {\"cell\": \"4 h\", \"bbox\": [408, 175, 419, 183]}, {\"cell\": \"4 h\", \"bbox\": [473, 175, 485, 183]}, {\"cell\": \"Hypothermia for 90 min\", \"bbox\": [552, 175, 625, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 184, 140, 193]}, {\"cell\": \"Term\", \"bbox\": [156, 184, 172, 193]}, {\"cell\": \"Yes (neuropathology, clinical neurology)\", \"bbox\": [237, 184, 356, 193]}, {\"cell\": \"<40 min\", \"bbox\": [408, 184, 435, 193]}, {\"cell\": \"30 min\", \"bbox\": [473, 184, 496, 193]}, {\"cell\": \"Hypothermia for 12–24 h\", \"bbox\": [552, 184, 629, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 194, 140, 202]}, {\"cell\": \"Term\", \"bbox\": [156, 194, 172, 202]}, {\"cell\": \"No (trend, MRS, histology)\", \"bbox\": [237, 194, 318, 202]}, {\"cell\": \"2 h\", \"bbox\": [408, 194, 419, 202]}, {\"cell\": \"2 h\", \"bbox\": [473, 194, 485, 202]}, {\"cell\": \"Hypothermia for 24 h\", \"bbox\": [552, 194, 617, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 203, 120, 212]}, {\"cell\": \"Term\", \"bbox\": [156, 203, 172, 212]}, {\"cell\": \"Yes (seizures only)\", \"bbox\": [237, 203, 293, 212]}, {\"cell\": \"<12 h\", \"bbox\": [408, 203, 428, 212]}, {\"cell\": \"<12 h\", \"bbox\": [473, 203, 493, 212]}, {\"cell\": \"Reduced seizures\", \"bbox\": [552, 203, 607, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 44, 221]}, {\"cell\": \"Neonatal rats (61)\", \"bbox\": [79, 213, 135, 221]}, {\"cell\": \"P7\", \"bbox\": [156, 213, 166, 221]}, {\"cell\": \"Yes (histology, MRI, functional)\", \"bbox\": [237, 213, 329, 221]}, {\"cell\": \"1–3 h\", \"bbox\": [408, 213, 427, 221]}, {\"cell\": \"15 min\", \"bbox\": [473, 213, 496, 221]}, {\"cell\": \"Hypothermia: 30°C for 3 h\", \"bbox\": [552, 213, 633, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 35, 235]}, {\"cell\": \"Fetal sheep (50)\", \"bbox\": [79, 226, 129, 235]}, {\"cell\": \"0.7 gestation\", \"bbox\": [156, 226, 197, 235]}, {\"cell\": \"No (EEG and histology)\", \"bbox\": [237, 226, 308, 235]}, {\"cell\": \"5.5 h\", \"bbox\": [408, 226, 425, 235]}, {\"cell\": \"15 min\", \"bbox\": [473, 226, 496, 235]}, {\"cell\": \"Hypothermia for 72 h\", \"bbox\": [552, 226, 617, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 109, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 253, 44, 271]}, {\"cell\": \"Fetal sheep (48)\", \"bbox\": [79, 253, 129, 262]}, {\"cell\": \"0.85 gestation (term equivalent)\", \"bbox\": [156, 253, 218, 271]}, {\"cell\": \"No (EEG and histology)\", \"bbox\": [236, 253, 308, 262]}, {\"cell\": \"3 h\", \"bbox\": [408, 253, 419, 262]}, {\"cell\": \"3 h\", \"bbox\": [473, 253, 485, 262]}, {\"cell\": \"Hypothermia for 72 h\", \"bbox\": [552, 253, 617, 262]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4568393_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}384{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Number</b></td><td><b>Constituent</b></td><td><b>RT (min)</b></td><td><b>Peak area (%)</b></td></tr></thead><tbody><tr><td>1</td><td><i>α</i>-Phellandrene</td><td>[EMPTY_CELL]</td><td>0.081</td></tr><tr><td>2</td><td><i>α</i>-Pinene</td><td>[EMPTY_CELL]</td><td>0.159</td></tr><tr><td>3</td><td><i>β</i>-Pinene</td><td>[EMPTY_CELL]</td><td>11.438</td></tr><tr><td>4</td><td><i>α</i>-Myrcene</td><td>[EMPTY_CELL]</td><td>0.146</td></tr><tr><td>5</td><td>Terpinolene</td><td>[EMPTY_CELL]</td><td>0.018</td></tr><tr><td>6</td><td>Limonene</td><td>[EMPTY_CELL]</td><td>0.049</td></tr><tr><td>7</td><td><i>β</i>-Phellandrene</td><td>[EMPTY_CELL]</td><td>0.037</td></tr><tr><td>8</td><td>Benzene</td><td>[EMPTY_CELL]</td><td>2.642</td></tr><tr><td>9</td><td>Eucalyptol</td><td>[EMPTY_CELL]</td><td>0.037</td></tr><tr><td>10</td><td><i>γ</i>-Terpinene</td><td>[EMPTY_CELL]</td><td>10.698</td></tr><tr><td>11</td><td>Linalool</td><td>[EMPTY_CELL]</td><td>0.011</td></tr><tr><td>12</td><td>2,6-Dimethyl-3,5,7-octatriene-2-ol</td><td>[EMPTY_CELL]</td><td>0.011</td></tr><tr><td>13</td><td>4-Methyl-1-(1-methylethyl)-</td><td>[EMPTY_CELL]</td><td>0.031</td></tr><tr><td>14</td><td>1,3-Cyclohexadiene-1-methanol</td><td>[EMPTY_CELL]</td><td>2.023</td></tr><tr><td>15</td><td>Cuminaldehyde</td><td>[EMPTY_CELL]</td><td>48.773</td></tr><tr><td>16</td><td>3-Cyclohexene-1-carboxaldehyde, 1,3,4-trimethyl-</td><td>[EMPTY_CELL]</td><td>0.064</td></tr><tr><td>17</td><td>1H-Cyclopropa[a]naphthalene,1a,2,3,5,6,7,7a,7b-octahydro-1,1,7,7a-tetramethyl-, [1aR-(1aà,7à,7aà,7bà)]-</td><td>[EMPTY_CELL]</td><td>0.034</td></tr><tr><td>18</td><td>3-Caren-10-al</td><td>[EMPTY_CELL]</td><td>14.000</td></tr><tr><td>19</td><td>2-Caren-10-al</td><td>[EMPTY_CELL]</td><td>9.355</td></tr><tr><td>20</td><td>Benzenemethanol, 4-(1-methylethyl)-</td><td>[EMPTY_CELL]</td><td>0.078</td></tr><tr><td>21</td><td>Bicyclo[3.1.1]hept-2-ene-2-methanol, 6,6-dimethyl-</td><td>[EMPTY_CELL]</td><td>0.016</td></tr><tr><td>22</td><td>cis-à-Bisabolene</td><td>[EMPTY_CELL]</td><td>0.026</td></tr><tr><td>23</td><td>1,6,10-Dodecatriene, 7,11-dimethyl-3-methylene-, (E)-</td><td>[EMPTY_CELL]</td><td>0.029</td></tr><tr><td>24</td><td><i>γ</i>-Elemene</td><td>[EMPTY_CELL]</td><td>0.031</td></tr><tr><td>25</td><td>Naphthalene</td><td>[EMPTY_CELL]</td><td>0.012</td></tr><tr><td>26</td><td>Carotol</td><td>[EMPTY_CELL]</td><td>0.011</td></tr><tr><td>[EMPTY_CELL]</td><td>Total identified</td><td>[EMPTY_CELL]</td><td>99.81</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Number</b>\", \"bbox\": [2, 4, 35, 15]}, {\"cell\": \"<b>Constituent</b>\", \"bbox\": [35, 4, 79, 15]}, {\"cell\": \"<b>RT (min)</b>\", \"bbox\": [408, 4, 444, 15]}, {\"cell\": \"<b>Peak area (%)</b>\", \"bbox\": [448, 4, 499, 15]}, {\"cell\": \"1\", \"bbox\": [2, 17, 8, 27]}, {\"cell\": \"<i>α</i>-Phellandrene\", \"bbox\": [35, 14, 92, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 17, 434, 27]}, {\"cell\": \"0.081\", \"bbox\": [463, 17, 483, 27]}, {\"cell\": \"2\", \"bbox\": [2, 29, 9, 40]}, {\"cell\": \"<i>α</i>-Pinene\", \"bbox\": [35, 26, 70, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 29, 434, 40]}, {\"cell\": \"0.159\", \"bbox\": [463, 29, 483, 40]}, {\"cell\": \"3\", \"bbox\": [2, 42, 9, 52]}, {\"cell\": \"<i>β</i>-Pinene\", \"bbox\": [35, 38, 70, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 42, 435, 52]}, {\"cell\": \"11.438\", \"bbox\": [462, 42, 485, 52]}, {\"cell\": \"4\", \"bbox\": [2, 54, 9, 65]}, {\"cell\": \"<i>α</i>-Myrcene\", \"bbox\": [35, 51, 76, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 54, 435, 65]}, {\"cell\": \"0.146\", \"bbox\": [463, 54, 483, 65]}, {\"cell\": \"5\", \"bbox\": [2, 67, 9, 77]}, {\"cell\": \"Terpinolene\", \"bbox\": [35, 67, 80, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 67, 435, 77]}, {\"cell\": \"0.018\", \"bbox\": [463, 67, 483, 77]}, {\"cell\": \"6\", \"bbox\": [2, 79, 9, 90]}, {\"cell\": \"Limonene\", \"bbox\": [35, 79, 73, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 79, 436, 90]}, {\"cell\": \"0.049\", \"bbox\": [462, 79, 484, 90]}, {\"cell\": \"7\", \"bbox\": [2, 91, 9, 102]}, {\"cell\": \"<i>β</i>-Phellandrene\", \"bbox\": [35, 88, 92, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 91, 436, 102]}, {\"cell\": \"0.037\", \"bbox\": [463, 91, 484, 102]}, {\"cell\": \"8\", \"bbox\": [2, 104, 9, 115]}, {\"cell\": \"Benzene\", \"bbox\": [35, 104, 67, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 104, 436, 115]}, {\"cell\": \"2.642\", \"bbox\": [462, 104, 484, 115]}, {\"cell\": \"9\", \"bbox\": [2, 116, 9, 127]}, {\"cell\": \"Eucalyptol\", \"bbox\": [35, 116, 74, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 116, 436, 127]}, {\"cell\": \"0.037\", \"bbox\": [463, 116, 484, 127]}, {\"cell\": \"10\", \"bbox\": [2, 129, 12, 139]}, {\"cell\": \"<i>γ</i>-Terpinene\", \"bbox\": [35, 126, 80, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 129, 436, 139]}, {\"cell\": \"10.698\", \"bbox\": [461, 129, 485, 139]}, {\"cell\": \"11\", \"bbox\": [2, 141, 11, 152]}, {\"cell\": \"Linalool\", \"bbox\": [35, 141, 66, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 141, 436, 152]}, {\"cell\": \"0.011\", \"bbox\": [464, 141, 483, 152]}, {\"cell\": \"12\", \"bbox\": [2, 154, 12, 164]}, {\"cell\": \"2,6-Dimethyl-3,5,7-octatriene-2-ol\", \"bbox\": [35, 154, 160, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 154, 435, 164]}, {\"cell\": \"0.011\", \"bbox\": [464, 154, 483, 164]}, {\"cell\": \"13\", \"bbox\": [2, 166, 12, 177]}, {\"cell\": \"4-Methyl-1-(1-methylethyl)-\", \"bbox\": [35, 166, 136, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 166, 436, 177]}, {\"cell\": \"0.031\", \"bbox\": [463, 166, 483, 177]}, {\"cell\": \"14\", \"bbox\": [2, 179, 12, 189]}, {\"cell\": \"1,3-Cyclohexadiene-1-methanol\", \"bbox\": [35, 179, 149, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 179, 436, 189]}, {\"cell\": \"2.023\", \"bbox\": [463, 179, 484, 189]}, {\"cell\": \"15\", \"bbox\": [2, 191, 12, 202]}, {\"cell\": \"Cuminaldehyde\", \"bbox\": [35, 191, 94, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 191, 436, 202]}, {\"cell\": \"48.773\", \"bbox\": [461, 191, 486, 202]}, {\"cell\": \"16\", \"bbox\": [2, 204, 12, 214]}, {\"cell\": \"3-Cyclohexene-1-carboxaldehyde, 1,3,4-trimethyl-\", \"bbox\": [35, 204, 214, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 204, 436, 214]}, {\"cell\": \"0.064\", \"bbox\": [462, 204, 484, 214]}, {\"cell\": \"17\", \"bbox\": [2, 216, 12, 227]}, {\"cell\": \"1H-Cyclopropa[a]naphthalene,1a,2,3,5,6,7,7a,7b-octahydro-1,1,7,7a-tetramethyl-, [1aR-(1aà,7à,7aà,7bà)]-\", \"bbox\": [35, 216, 404, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 216, 436, 227]}, {\"cell\": \"0.034\", \"bbox\": [462, 216, 484, 227]}, {\"cell\": \"18\", \"bbox\": [2, 228, 12, 239]}, {\"cell\": \"3-Caren-10-al\", \"bbox\": [35, 228, 86, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 228, 436, 239]}, {\"cell\": \"14.000\", \"bbox\": [461, 228, 486, 239]}, {\"cell\": \"19\", \"bbox\": [2, 241, 12, 252]}, {\"cell\": \"2-Caren-10-al\", \"bbox\": [35, 241, 86, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 241, 436, 252]}, {\"cell\": \"9.355\", \"bbox\": [463, 241, 483, 252]}, {\"cell\": \"20\", \"bbox\": [2, 253, 13, 264]}, {\"cell\": \"Benzenemethanol, 4-(1-methylethyl)-\", \"bbox\": [35, 253, 171, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 253, 436, 264]}, {\"cell\": \"0.078\", \"bbox\": [463, 253, 484, 264]}, {\"cell\": \"21\", \"bbox\": [2, 266, 12, 276]}, {\"cell\": \"Bicyclo[3.1.1]hept-2-ene-2-methanol, 6,6-dimethyl-\", \"bbox\": [35, 266, 220, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 266, 436, 276]}, {\"cell\": \"0.016\", \"bbox\": [463, 266, 483, 276]}, {\"cell\": \"22\", \"bbox\": [2, 278, 13, 289]}, {\"cell\": \"cis-à-Bisabolene\", \"bbox\": [35, 278, 95, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [415, 278, 436, 289]}, {\"cell\": \"0.026\", \"bbox\": [462, 278, 484, 289]}, {\"cell\": \"23\", \"bbox\": [2, 291, 13, 301]}, {\"cell\": \"1,6,10-Dodecatriene, 7,11-dimethyl-3-methylene-, (E)-\", \"bbox\": [35, 291, 227, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 291, 436, 301]}, {\"cell\": \"0.029\", \"bbox\": [463, 291, 484, 301]}, {\"cell\": \"24\", \"bbox\": [2, 303, 13, 314]}, {\"cell\": \"<i>γ</i>-Elemene\", \"bbox\": [35, 300, 75, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 303, 436, 314]}, {\"cell\": \"0.031\", \"bbox\": [463, 303, 483, 314]}, {\"cell\": \"25\", \"bbox\": [2, 316, 13, 326]}, {\"cell\": \"Naphthalene\", \"bbox\": [35, 316, 82, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [416, 316, 436, 326]}, {\"cell\": \"0.012\", \"bbox\": [463, 316, 483, 326]}, {\"cell\": \"26\", \"bbox\": [2, 328, 13, 339]}, {\"cell\": \"Carotol\", \"bbox\": [35, 328, 64, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 328, 435, 339]}, {\"cell\": \"0.011\", \"bbox\": [464, 328, 483, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total identified\", \"bbox\": [35, 341, 91, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"99.81\", \"bbox\": [463, 341, 483, 351]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4575746_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}385{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>T2DM (n = 78)</b></td><td><b>Controls (n = 14)</b></td><td><b>P value</b></td></tr></thead><tbody><tr><td>Rate pressure product ((beats/min)mmHg)</td><td>8503 ± 1458</td><td>[EMPTY_CELL]</td><td>0.005</td></tr><tr><td>Distensibility aorta ascendens (10<sup>-3</sup>mmHg<sup>-1</sup>)</td><td>3.13 (2.29-5.95)</td><td>[EMPTY_CELL]</td><td>0.008</td></tr><tr><td>LV mass (g)</td><td>107.3 ± 16.7*</td><td>[EMPTY_CELL]</td><td>0.42</td></tr><tr><td>LV enddiastolic volume (mL)</td><td>154 (134-174)</td><td>[EMPTY_CELL]</td><td>0.002</td></tr><tr><td>LV end-systolic volume (mL)</td><td>59 (52-71)*</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>LV mass/volume ratio (g/mL)</td><td>0.70 ± 0.11</td><td>[EMPTY_CELL]</td><td>0.05</td></tr><tr><td>Stroke volume (mL)</td><td>94 ± 16*</td><td>[EMPTY_CELL]</td><td>0.002</td></tr><tr><td>LV ejection fraction (%)</td><td>60 ± 6*</td><td>[EMPTY_CELL]</td><td>0.35</td></tr><tr><td>E peak filling rate (mL/s)</td><td>417 ± 84*</td><td>[EMPTY_CELL]</td><td>< 0.001</td></tr><tr><td>E deceleration peak (mL/s<sup>2 </sup>10<sup>-3</sup>)</td><td>3.40 (2.89-3.99)*</td><td>[EMPTY_CELL]</td><td>0.003</td></tr><tr><td>E/A peak ratio</td><td>1.04 ± 0.25*</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td>E/Ea</td><td>9.3 (7.0-11.7)</td><td>[EMPTY_CELL]</td><td>0.34</td></tr><tr><td>MBF (mL/g/min)</td><td>0.84 (0.75-0.96)</td><td>[EMPTY_CELL]</td><td>0.8</td></tr><tr><td>MMRglu (nmol/mL/min)</td><td>257 ± 130</td><td>[EMPTY_CELL]</td><td>0.02</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>T2DM (n = 78)</b>\", \"bbox\": [127, 4, 156, 22]}, {\"cell\": \"<b>Controls (n = 14)</b>\", \"bbox\": [170, 4, 201, 22]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [212, 4, 232, 22]}, {\"cell\": \"Rate pressure product ((beats/min)mmHg)\", \"bbox\": [1, 26, 114, 45]}, {\"cell\": \"8503 ± 1458\", \"bbox\": [127, 26, 151, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 26, 195, 45]}, {\"cell\": \"0.005\", \"bbox\": [212, 26, 230, 36]}, {\"cell\": \"Distensibility aorta ascendens (10<sup>-3</sup>mmHg<sup>-1</sup>)\", \"bbox\": [1, 47, 97, 66]}, {\"cell\": \"3.13 (2.29-5.95)\", \"bbox\": [127, 47, 161, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 47, 204, 66]}, {\"cell\": \"0.008\", \"bbox\": [212, 47, 230, 57]}, {\"cell\": \"LV mass (g)\", \"bbox\": [1, 68, 40, 78]}, {\"cell\": \"107.3 ± 16.7*\", \"bbox\": [127, 68, 153, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 68, 196, 86]}, {\"cell\": \"0.42\", \"bbox\": [212, 68, 227, 78]}, {\"cell\": \"LV enddiastolic volume (mL)\", \"bbox\": [1, 89, 94, 98]}, {\"cell\": \"154 (134-174)\", \"bbox\": [127, 89, 158, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 89, 201, 107]}, {\"cell\": \"0.002\", \"bbox\": [212, 89, 230, 98]}, {\"cell\": \"LV end-systolic volume (mL)\", \"bbox\": [1, 110, 93, 119]}, {\"cell\": \"59 (52-71)*\", \"bbox\": [127, 110, 164, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 110, 204, 119]}, {\"cell\": \"0.001\", \"bbox\": [212, 110, 230, 119]}, {\"cell\": \"LV mass/volume ratio (g/mL)\", \"bbox\": [1, 122, 96, 131]}, {\"cell\": \"0.70 ± 0.11\", \"bbox\": [127, 122, 164, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 122, 208, 131]}, {\"cell\": \"0.05\", \"bbox\": [212, 122, 227, 131]}, {\"cell\": \"Stroke volume (mL)\", \"bbox\": [1, 134, 66, 143]}, {\"cell\": \"94 ± 16*\", \"bbox\": [127, 134, 157, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 134, 201, 143]}, {\"cell\": \"0.002\", \"bbox\": [212, 134, 230, 143]}, {\"cell\": \"LV ejection fraction (%)\", \"bbox\": [1, 146, 77, 155]}, {\"cell\": \"60 ± 6*\", \"bbox\": [127, 146, 153, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 146, 194, 155]}, {\"cell\": \"0.35\", \"bbox\": [212, 146, 227, 155]}, {\"cell\": \"E peak filling rate (mL/s)\", \"bbox\": [1, 158, 81, 167]}, {\"cell\": \"417 ± 84*\", \"bbox\": [127, 158, 161, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 158, 205, 167]}, {\"cell\": \"< 0.001\", \"bbox\": [212, 158, 230, 176]}, {\"cell\": \"E deceleration peak (mL/s<sup>2 </sup>10<sup>-3</sup>)\", \"bbox\": [1, 177, 106, 188]}, {\"cell\": \"3.40 (2.89-3.99)*\", \"bbox\": [127, 179, 164, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 179, 204, 197]}, {\"cell\": \"0.003\", \"bbox\": [212, 179, 230, 188]}, {\"cell\": \"E/A peak ratio\", \"bbox\": [0, 200, 48, 209]}, {\"cell\": \"1.04 ± 0.25*\", \"bbox\": [127, 200, 149, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 200, 208, 209]}, {\"cell\": \"0.01\", \"bbox\": [212, 200, 227, 209]}, {\"cell\": \"E/Ea\", \"bbox\": [1, 220, 16, 230]}, {\"cell\": \"9.3 (7.0-11.7)\", \"bbox\": [127, 220, 154, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 220, 200, 239]}, {\"cell\": \"0.34\", \"bbox\": [212, 220, 227, 230]}, {\"cell\": \"MBF (mL/g/min)\", \"bbox\": [1, 241, 55, 251]}, {\"cell\": \"0.84 (0.75-0.96)\", \"bbox\": [127, 241, 161, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 241, 204, 260]}, {\"cell\": \"0.8\", \"bbox\": [212, 241, 223, 251]}, {\"cell\": \"MMRglu (nmol/mL/min)\", \"bbox\": [1, 262, 80, 272]}, {\"cell\": \"257 ± 130\", \"bbox\": [127, 262, 161, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 262, 205, 272]}, {\"cell\": \"0.02\", \"bbox\": [212, 262, 227, 272]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3157422_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}386{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Inclusion criteria:</b></td><td><b>VF/VT group</b></td><td><b>Asphyxia group</b></td></tr></thead><tbody><tr><td>Initial rhythm</td><td>VF/VT</td><td>[EMPTY_CELL]</td></tr><tr><td>Age</td><td>>18 years</td><td>[EMPTY_CELL]</td></tr><tr><td>Core temperature</td><td>>30°C</td><td>[EMPTY_CELL]</td></tr><tr><td>Measurement of PetCO2 values</td><td>Every minute in the first 10 minutes after intubation</td><td>[EMPTY_CELL]</td></tr><tr><td>Aetiology</td><td>Confirmed acute myocardial infarction and/or primary VF/VT (electrocardiogram, enzymes, electrophysiological studies)</td><td>[EMPTY_CELL]</td></tr><tr><td>Exclusion criteria:</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>CPR procedures</td><td>Successful defibrillation in the first cycle</td><td>[EMPTY_CELL]</td></tr><tr><td>Aetiology</td><td>Acute myocardial infarction with asystole or PEA as the initial rhythm (autopsy or additional investigations in the hospital)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Inclusion criteria:</b>\", \"bbox\": [1, 4, 33, 22]}, {\"cell\": \"<b>VF/VT group</b>\", \"bbox\": [53, 4, 99, 13]}, {\"cell\": \"<b>Asphyxia group</b>\", \"bbox\": [146, 4, 203, 13]}, {\"cell\": \"Initial rhythm\", \"bbox\": [1, 26, 45, 36]}, {\"cell\": \"VF/VT\", \"bbox\": [53, 26, 73, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 26, 198, 36]}, {\"cell\": \"Age\", \"bbox\": [1, 38, 15, 48]}, {\"cell\": \">18 years\", \"bbox\": [53, 38, 86, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 38, 179, 48]}, {\"cell\": \"Core temperature\", \"bbox\": [1, 50, 42, 69]}, {\"cell\": \">30°C\", \"bbox\": [53, 50, 74, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 50, 167, 60]}, {\"cell\": \"Measurement of PetCO2 values\", \"bbox\": [1, 71, 46, 98]}, {\"cell\": \"Every minute in the first 10 minutes after intubation\", \"bbox\": [53, 71, 132, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 71, 236, 89]}, {\"cell\": \"Aetiology\", \"bbox\": [1, 101, 33, 110]}, {\"cell\": \"Confirmed acute myocardial infarction and/or primary VF/VT (electrocardiogram, enzymes, electrophysiological studies)\", \"bbox\": [53, 101, 139, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 101, 235, 173]}, {\"cell\": \"Exclusion criteria:\", \"bbox\": [1, 176, 32, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CPR procedures\", \"bbox\": [1, 197, 38, 215]}, {\"cell\": \"Successful defibrillation in the first cycle\", \"bbox\": [53, 197, 138, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 197, 228, 224]}, {\"cell\": \"Aetiology\", \"bbox\": [1, 226, 33, 236]}, {\"cell\": \"Acute myocardial infarction with asystole or PEA as the initial rhythm (autopsy or additional investigations in the hospital)\", \"bbox\": [53, 226, 138, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 226, 236, 272]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3222045_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}387{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Variable</b></td><td><b>Physical aggression, whole life (N = 120)</b></td><td><b>Physical aggression, 2009 (N = 45)</b></td><td><b>Non physical aggression, whole life (N = 144)</b></td><td><b>Non physical aggression, 2009 (N = 61)</b></td><td><b>Internal, non physical aggression, whole life (N = 53)</b></td></tr></thead><tbody><tr><td>Demand</td><td>Un.</td><td>1.06 (0.99-1.14)</td><td>1.07 (0.97-1.18)</td><td>1.18 (1.11-1.26)***</td><td>[EMPTY_CELL]</td><td>1.00 (0.89-1.11)</td></tr><tr><td>[EMPTY_CELL]</td><td>Ad.</td><td>1.07 (0.99-1.16)</td><td>1.12 (0.99-1.27)</td><td>1.17 (1.10-1.26)***</td><td>[EMPTY_CELL]</td><td>1.02 (0.90-1.15)</td></tr><tr><td>Control</td><td>Un.</td><td>1.01 (0.94-1.09)</td><td>0.98 (0.87-1.09)</td><td>1.00 (0.93-1.08)</td><td>[EMPTY_CELL]</td><td>0.83 (0.73-0.95)***</td></tr><tr><td>[EMPTY_CELL]</td><td>Ad.</td><td>0.97 (0.89-1.06)</td><td>0.90 (0.79-1.03)</td><td>0.98 (0.90-1.06)</td><td>[EMPTY_CELL]</td><td>0.85 (0.74-0.98)*</td></tr><tr><td>Support</td><td>Un.</td><td>0.95 (0.89-1.02)</td><td>0.93 (0.85-1.02)</td><td>0.86 (0.81-0.92)***</td><td>[EMPTY_CELL]</td><td>0.80 (0.71-0.89)***</td></tr><tr><td>[EMPTY_CELL]</td><td>Ad.</td><td>0.95 (0.89-1.02)</td><td>0.91 (0.82-1.00)</td><td>0.85 (0.80-0.91)***</td><td>[EMPTY_CELL]</td><td>0.79 (0.69-0.90)***</td></tr><tr><td>Justice</td><td>Un.</td><td>0.98 (0.96-0.99)*</td><td>0.98 (0.95-0.99)*</td><td>0.97 (0.95-0.98)***</td><td>[EMPTY_CELL]</td><td>0.95 (0.93-0.98)***</td></tr><tr><td>[EMPTY_CELL]</td><td>Ad.</td><td>0.98 (0.97-1.00)</td><td>0.98 (0.95-0.99)*</td><td>0.97 (0.95-0.98)***</td><td>[EMPTY_CELL]</td><td>0.96 (0.93-0.99)***</td></tr><tr><td>Psychological disorders</td><td>Un.</td><td>1.03 (0.99-1.07)</td><td>1.00 (0.94-1.06)</td><td>1.11 (1.07-1.16)***</td><td>[EMPTY_CELL]</td><td>1.11 (1.05-1.18)***</td></tr><tr><td>[EMPTY_CELL]</td><td>Ad.</td><td>1.02 (0.97-1.07)</td><td>1.00 (0.94-1.08)</td><td>1.11 (1.06-1.16)***</td><td>[EMPTY_CELL]</td><td>1.12 (1.04-1.20)***</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>Physical aggression, whole life (N = 120)</b>\", \"bbox\": [107, 4, 179, 22]}, {\"cell\": \"<b>Physical aggression, 2009 (N = 45)</b>\", \"bbox\": [188, 4, 259, 22]}, {\"cell\": \"<b>Non physical aggression, whole life (N = 144)</b>\", \"bbox\": [268, 4, 336, 31]}, {\"cell\": \"<b>Non physical aggression, 2009 (N = 61)</b>\", \"bbox\": [345, 4, 392, 31]}, {\"cell\": \"<b>Internal, non physical aggression, whole life (N = 53)</b>\", \"bbox\": [413, 4, 484, 31]}, {\"cell\": \"Demand\", \"bbox\": [1, 35, 30, 44]}, {\"cell\": \"Un.\", \"bbox\": [86, 35, 98, 44]}, {\"cell\": \"1.06 (0.99-1.14)\", \"bbox\": [107, 35, 156, 44]}, {\"cell\": \"1.07 (0.97-1.18)\", \"bbox\": [188, 35, 237, 44]}, {\"cell\": \"1.18 (1.11-1.26)***\", \"bbox\": [268, 35, 326, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 35, 404, 44]}, {\"cell\": \"1.00 (0.89-1.11)\", \"bbox\": [413, 35, 462, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ad.\", \"bbox\": [86, 49, 98, 58]}, {\"cell\": \"1.07 (0.99-1.16)\", \"bbox\": [107, 49, 156, 58]}, {\"cell\": \"1.12 (0.99-1.27)\", \"bbox\": [188, 49, 237, 58]}, {\"cell\": \"1.17 (1.10-1.26)***\", \"bbox\": [268, 49, 326, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 49, 404, 58]}, {\"cell\": \"1.02 (0.90-1.15)\", \"bbox\": [413, 49, 462, 58]}, {\"cell\": \"Control\", \"bbox\": [1, 63, 26, 72]}, {\"cell\": \"Un.\", \"bbox\": [86, 63, 98, 72]}, {\"cell\": \"1.01 (0.94-1.09)\", \"bbox\": [107, 63, 156, 72]}, {\"cell\": \"0.98 (0.87-1.09)\", \"bbox\": [188, 63, 237, 72]}, {\"cell\": \"1.00 (0.93-1.08)\", \"bbox\": [268, 63, 317, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 63, 395, 72]}, {\"cell\": \"0.83 (0.73-0.95)***\", \"bbox\": [413, 63, 471, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ad.\", \"bbox\": [86, 77, 98, 86]}, {\"cell\": \"0.97 (0.89-1.06)\", \"bbox\": [107, 77, 156, 86]}, {\"cell\": \"0.90 (0.79-1.03)\", \"bbox\": [188, 77, 237, 86]}, {\"cell\": \"0.98 (0.90-1.06)\", \"bbox\": [268, 77, 317, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 77, 395, 86]}, {\"cell\": \"0.85 (0.74-0.98)*\", \"bbox\": [413, 77, 465, 86]}, {\"cell\": \"Support\", \"bbox\": [1, 91, 28, 100]}, {\"cell\": \"Un.\", \"bbox\": [86, 91, 98, 100]}, {\"cell\": \"0.95 (0.89-1.02)\", \"bbox\": [107, 91, 156, 100]}, {\"cell\": \"0.93 (0.85-1.02)\", \"bbox\": [188, 91, 237, 100]}, {\"cell\": \"0.86 (0.81-0.92)***\", \"bbox\": [268, 91, 326, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 91, 404, 100]}, {\"cell\": \"0.80 (0.71-0.89)***\", \"bbox\": [413, 91, 471, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ad.\", \"bbox\": [86, 105, 98, 114]}, {\"cell\": \"0.95 (0.89-1.02)\", \"bbox\": [107, 105, 156, 114]}, {\"cell\": \"0.91 (0.82-1.00)\", \"bbox\": [188, 105, 237, 114]}, {\"cell\": \"0.85 (0.80-0.91)***\", \"bbox\": [268, 105, 326, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 105, 404, 114]}, {\"cell\": \"0.79 (0.69-0.90)***\", \"bbox\": [413, 105, 471, 114]}, {\"cell\": \"Justice\", \"bbox\": [1, 119, 24, 128]}, {\"cell\": \"Un.\", \"bbox\": [86, 119, 98, 128]}, {\"cell\": \"0.98 (0.96-0.99)*\", \"bbox\": [107, 119, 159, 128]}, {\"cell\": \"0.98 (0.95-0.99)*\", \"bbox\": [188, 119, 240, 128]}, {\"cell\": \"0.97 (0.95-0.98)***\", \"bbox\": [268, 119, 326, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 119, 404, 128]}, {\"cell\": \"0.95 (0.93-0.98)***\", \"bbox\": [413, 119, 471, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ad.\", \"bbox\": [86, 133, 98, 142]}, {\"cell\": \"0.98 (0.97-1.00)\", \"bbox\": [107, 133, 156, 142]}, {\"cell\": \"0.98 (0.95-0.99)*\", \"bbox\": [188, 133, 240, 142]}, {\"cell\": \"0.97 (0.95-0.98)***\", \"bbox\": [268, 133, 326, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 133, 404, 142]}, {\"cell\": \"0.96 (0.93-0.99)***\", \"bbox\": [413, 133, 471, 142]}, {\"cell\": \"Psychological disorders\", \"bbox\": [1, 147, 76, 156]}, {\"cell\": \"Un.\", \"bbox\": [86, 147, 98, 156]}, {\"cell\": \"1.03 (0.99-1.07)\", \"bbox\": [107, 147, 156, 156]}, {\"cell\": \"1.00 (0.94-1.06)\", \"bbox\": [188, 147, 237, 156]}, {\"cell\": \"1.11 (1.07-1.16)***\", \"bbox\": [268, 147, 326, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 147, 404, 156]}, {\"cell\": \"1.11 (1.05-1.18)***\", \"bbox\": [413, 147, 471, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ad.\", \"bbox\": [86, 160, 98, 170]}, {\"cell\": \"1.02 (0.97-1.07)\", \"bbox\": [107, 160, 156, 170]}, {\"cell\": \"1.00 (0.94-1.08)\", \"bbox\": [188, 160, 237, 170]}, {\"cell\": \"1.11 (1.06-1.16)***\", \"bbox\": [268, 160, 326, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 160, 404, 170]}, {\"cell\": \"1.12 (1.04-1.20)***\", \"bbox\": [413, 160, 471, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3464150_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}388{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Pretreatment (mean ± SD)</b></td><td colspan=\\\"2\\\"><b>After 12 months (mean ± SD)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Endoscopic laser cordectomy</b></td><td><b>Open cordectomy</b></td><td><b>Endoscopic laser cordectomy</b></td><td><b>Open cordectomy</b></td></tr></thead><tbody><tr><td><i>F</i>0 (Hz)</td><td>149.49 ± 21.78</td><td>[EMPTY_CELL]</td><td>144.32 ± 23.1</td><td>146.66 ± 26.69</td></tr><tr><td>Student's <i>t</i>-test</td><td colspan=\\\"2\\\"><i>P=0.399 </i></td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>Jitter (%)</td><td>0.52 ± 0.15</td><td>[EMPTY_CELL]</td><td>0.71 ± 0.27</td><td>0.56 ± 0.16</td></tr><tr><td>Student's <i>t</i>-test</td><td colspan=\\\"2\\\"><i>P=0.684 </i></td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>Shimmer (%)</td><td>5.78 ± 0.98</td><td>[EMPTY_CELL]</td><td>6.47 ± 1.22</td><td>6.02 ± 1.04</td></tr><tr><td>Student's <i>t</i>-test</td><td colspan=\\\"2\\\"><i>P=0.341 </i></td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>NNE (dB)</td><td>−5.41 ± 1.18</td><td>[EMPTY_CELL]</td><td>−5.6 ± 1.44</td><td>−6.05 ± 1.42</td></tr><tr><td>Student's <i>t</i>-test</td><td colspan=\\\"2\\\"><i>P=0.127 </i></td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Pretreatment (mean ± SD)</b>\", \"bbox\": [129, 1, 226, 16]}, {\"cell\": \"<b>After 12 months (mean ± SD)</b>\", \"bbox\": [346, 1, 453, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Endoscopic laser cordectomy</b>\", \"bbox\": [78, 16, 184, 27]}, {\"cell\": \"<b>Open cordectomy</b>\", \"bbox\": [209, 16, 276, 27]}, {\"cell\": \"<b>Endoscopic laser cordectomy</b>\", \"bbox\": [301, 16, 407, 27]}, {\"cell\": \"<b>Open cordectomy</b>\", \"bbox\": [432, 16, 499, 27]}, {\"cell\": \"<i>F</i>0 (Hz)\", \"bbox\": [2, 29, 33, 40]}, {\"cell\": \"149.49 ± 21.78\", \"bbox\": [106, 26, 157, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [219, 26, 266, 41]}, {\"cell\": \"144.32 ± 23.1\", \"bbox\": [331, 26, 377, 41]}, {\"cell\": \"146.66 ± 26.69\", \"bbox\": [439, 26, 492, 41]}, {\"cell\": \"Student's <i>t</i>-test\", \"bbox\": [2, 42, 57, 52]}, {\"cell\": \"<i>P=0.399 </i>\", \"bbox\": [159, 42, 197, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 42, 418, 50]}, {\"cell\": \"Jitter (%)\", \"bbox\": [2, 54, 37, 65]}, {\"cell\": \"0.52 ± 0.15\", \"bbox\": [111, 51, 151, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 51, 262, 66]}, {\"cell\": \"0.71 ± 0.27\", \"bbox\": [334, 51, 374, 66]}, {\"cell\": \"0.56 ± 0.16\", \"bbox\": [445, 51, 485, 66]}, {\"cell\": \"Student's <i>t</i>-test\", \"bbox\": [2, 67, 57, 77]}, {\"cell\": \"<i>P=0.684 </i>\", \"bbox\": [159, 67, 197, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 63, 420, 75]}, {\"cell\": \"Shimmer (%)\", \"bbox\": [2, 79, 53, 90]}, {\"cell\": \"5.78 ± 0.98\", \"bbox\": [111, 76, 152, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 76, 261, 91]}, {\"cell\": \"6.47 ± 1.22\", \"bbox\": [334, 76, 374, 91]}, {\"cell\": \"6.02 ± 1.04\", \"bbox\": [445, 76, 485, 91]}, {\"cell\": \"Student's <i>t</i>-test\", \"bbox\": [2, 91, 57, 102]}, {\"cell\": \"<i>P=0.341 </i>\", \"bbox\": [160, 92, 196, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 92, 418, 100]}, {\"cell\": \"NNE (dB)\", \"bbox\": [2, 104, 41, 115]}, {\"cell\": \"−5.41 ± 1.18\", \"bbox\": [110, 101, 152, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 101, 265, 116]}, {\"cell\": \"−5.6 ± 1.44\", \"bbox\": [333, 101, 375, 116]}, {\"cell\": \"−6.05 ± 1.42\", \"bbox\": [443, 101, 488, 116]}, {\"cell\": \"Student's <i>t</i>-test\", \"bbox\": [2, 116, 57, 127]}, {\"cell\": \"<i>P=0.127 </i>\", \"bbox\": [159, 116, 196, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [383, 116, 416, 125]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4060788_003_02.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}389{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Cost<sup>a</sup></b></td><td><b>Argentina</b></td><td><b>Brazil</b></td><td><b>Chile</b></td><td><b>Colombia</b></td><td><b>Ecuador</b></td><td><b>Mexico</b></td><td><b>Peru</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Indacaterol, Linagliptin, Rivaroxavan</td><td>Rivaroxavan, Roflumilast</td><td>Apixaban, Indacaterol, Rivaroxavan</td><td>Rivaroxavan</td><td>–</td><td>Rivaroxavan</td><td>Rivaroxavan</td></tr><tr><td>[EMPTY_CELL]</td><td>Apixaban, Ticagrelor</td><td>Apixaban, Ticagrelor</td><td>–</td><td>Apixaban, Indacaterol</td><td>Indacaterol</td><td>Apixaban, Azilsartan, Linagliptin, Ticagrelor</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>Belatacept</td><td>Aflibercept, Belimumab</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>Regorafenib</td><td>Aflibercept, Belimumab</td><td>–</td><td>Aflibercept</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>Aflibercept, Belatacept, Tofacitinib</td><td>–</td><td>–</td><td>Tofacitinib</td><td>–</td><td>Tofacitinib</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>Telaprevir</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>Ipilimumab, Pertuzumab, Telaprevir</td><td>Ipilimumab</td><td>–</td><td>–</td><td>Pertuzumab</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>Ipilimumab, Pasireotide</td><td>Pasireotide</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>Vandetanib</td><td>Vandetanib</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>Taliglucerase alfa</td><td>–</td><td>–</td><td>–</td><td>–</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Cost<sup>a</sup></b>\", \"bbox\": [9, 5, 27, 16]}, {\"cell\": \"<b>Argentina</b>\", \"bbox\": [51, 5, 86, 16]}, {\"cell\": \"<b>Brazil</b>\", \"bbox\": [122, 5, 143, 16]}, {\"cell\": \"<b>Chile</b>\", \"bbox\": [191, 5, 209, 16]}, {\"cell\": \"<b>Colombia</b>\", \"bbox\": [249, 5, 282, 16]}, {\"cell\": \"<b>Ecuador</b>\", \"bbox\": [312, 5, 340, 16]}, {\"cell\": \"<b>Mexico</b>\", \"bbox\": [374, 5, 399, 16]}, {\"cell\": \"<b>Peru</b>\", \"bbox\": [442, 5, 459, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 20, 16, 31]}, {\"cell\": \"Indacaterol, Linagliptin, Rivaroxavan\", \"bbox\": [40, 20, 81, 51]}, {\"cell\": \"Rivaroxavan, Roflumilast\", \"bbox\": [103, 20, 146, 41]}, {\"cell\": \"Apixaban, Indacaterol, Rivaroxavan\", \"bbox\": [169, 20, 210, 51]}, {\"cell\": \"Rivaroxavan\", \"bbox\": [237, 20, 278, 31]}, {\"cell\": \"–\", \"bbox\": [300, 20, 307, 31]}, {\"cell\": \"Rivaroxavan\", \"bbox\": [358, 20, 399, 31]}, {\"cell\": \"Rivaroxavan\", \"bbox\": [422, 20, 463, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 53, 18, 63]}, {\"cell\": \"Apixaban, Ticagrelor\", \"bbox\": [40, 53, 74, 73]}, {\"cell\": \"Apixaban, Ticagrelor\", \"bbox\": [103, 53, 138, 73]}, {\"cell\": \"–\", \"bbox\": [169, 53, 176, 63]}, {\"cell\": \"Apixaban, Indacaterol\", \"bbox\": [237, 53, 275, 73]}, {\"cell\": \"Indacaterol\", \"bbox\": [300, 53, 339, 63]}, {\"cell\": \"Apixaban, Azilsartan, Linagliptin, Ticagrelor\", \"bbox\": [358, 53, 396, 93]}, {\"cell\": \"–\", \"bbox\": [422, 53, 428, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 95, 18, 105]}, {\"cell\": \"–\", \"bbox\": [40, 95, 46, 105]}, {\"cell\": \"Belatacept\", \"bbox\": [103, 95, 140, 105]}, {\"cell\": \"Aflibercept, Belimumab\", \"bbox\": [169, 95, 209, 115]}, {\"cell\": \"–\", \"bbox\": [237, 95, 243, 105]}, {\"cell\": \"–\", \"bbox\": [300, 95, 307, 105]}, {\"cell\": \"–\", \"bbox\": [358, 95, 365, 105]}, {\"cell\": \"–\", \"bbox\": [422, 95, 428, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 117, 26, 127]}, {\"cell\": \"Regorafenib\", \"bbox\": [40, 117, 81, 127]}, {\"cell\": \"Aflibercept, Belimumab\", \"bbox\": [103, 117, 143, 137]}, {\"cell\": \"–\", \"bbox\": [169, 117, 176, 127]}, {\"cell\": \"Aflibercept\", \"bbox\": [237, 117, 275, 127]}, {\"cell\": \"–\", \"bbox\": [300, 117, 307, 127]}, {\"cell\": \"–\", \"bbox\": [358, 117, 365, 127]}, {\"cell\": \"–\", \"bbox\": [422, 117, 428, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 139, 26, 150]}, {\"cell\": \"Aflibercept, Belatacept, Tofacitinib\", \"bbox\": [40, 139, 79, 170]}, {\"cell\": \"–\", \"bbox\": [103, 139, 110, 150]}, {\"cell\": \"–\", \"bbox\": [169, 139, 176, 150]}, {\"cell\": \"Tofacitinib\", \"bbox\": [237, 139, 273, 150]}, {\"cell\": \"–\", \"bbox\": [300, 139, 307, 150]}, {\"cell\": \"Tofacitinib\", \"bbox\": [358, 139, 394, 150]}, {\"cell\": \"–\", \"bbox\": [422, 139, 428, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 172, 26, 182]}, {\"cell\": \"Telaprevir\", \"bbox\": [40, 172, 73, 182]}, {\"cell\": \"–\", \"bbox\": [103, 172, 110, 182]}, {\"cell\": \"–\", \"bbox\": [169, 172, 176, 182]}, {\"cell\": \"–\", \"bbox\": [237, 172, 243, 182]}, {\"cell\": \"–\", \"bbox\": [300, 172, 307, 182]}, {\"cell\": \"–\", \"bbox\": [358, 172, 365, 182]}, {\"cell\": \"–\", \"bbox\": [422, 172, 428, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 184, 26, 194]}, {\"cell\": \"–\", \"bbox\": [40, 184, 46, 194]}, {\"cell\": \"Ipilimumab, Pertuzumab, Telaprevir\", \"bbox\": [103, 184, 146, 214]}, {\"cell\": \"Ipilimumab\", \"bbox\": [169, 184, 209, 194]}, {\"cell\": \"–\", \"bbox\": [237, 184, 243, 194]}, {\"cell\": \"–\", \"bbox\": [300, 184, 307, 194]}, {\"cell\": \"Pertuzumab\", \"bbox\": [358, 184, 400, 194]}, {\"cell\": \"–\", \"bbox\": [422, 184, 428, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 216, 22, 236]}, {\"cell\": \"Ipilimumab, Pasireotide\", \"bbox\": [40, 216, 81, 236]}, {\"cell\": \"Pasireotide\", \"bbox\": [103, 216, 141, 226]}, {\"cell\": \"–\", \"bbox\": [169, 216, 176, 226]}, {\"cell\": \"–\", \"bbox\": [237, 216, 243, 226]}, {\"cell\": \"–\", \"bbox\": [300, 216, 307, 226]}, {\"cell\": \"–\", \"bbox\": [358, 216, 365, 226]}, {\"cell\": \"–\", \"bbox\": [422, 216, 428, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 238, 22, 259]}, {\"cell\": \"Vandetanib\", \"bbox\": [40, 238, 79, 249]}, {\"cell\": \"Vandetanib\", \"bbox\": [103, 238, 143, 249]}, {\"cell\": \"–\", \"bbox\": [169, 238, 176, 249]}, {\"cell\": \"–\", \"bbox\": [237, 238, 243, 249]}, {\"cell\": \"–\", \"bbox\": [300, 238, 307, 249]}, {\"cell\": \"–\", \"bbox\": [358, 238, 365, 249]}, {\"cell\": \"–\", \"bbox\": [422, 238, 428, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 261, 22, 281]}, {\"cell\": \"–\", \"bbox\": [40, 261, 46, 271]}, {\"cell\": \"–\", \"bbox\": [103, 261, 110, 271]}, {\"cell\": \"Taliglucerase alfa\", \"bbox\": [169, 261, 226, 271]}, {\"cell\": \"–\", \"bbox\": [237, 261, 243, 271]}, {\"cell\": \"–\", \"bbox\": [300, 261, 307, 271]}, {\"cell\": \"–\", \"bbox\": [358, 261, 365, 271]}, {\"cell\": \"–\", \"bbox\": [422, 261, 428, 271]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4645434_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}390{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene symbol</b></td><td><b>Gene name</b></td><td><b>GO</b></td></tr></thead><tbody><tr><td>CCL21B</td><td>[EMPTY_CELL]</td><td>1–2</td></tr><tr><td>CD276</td><td>[EMPTY_CELL]</td><td>1–2</td></tr><tr><td>SPP1</td><td>[EMPTY_CELL]</td><td>1–2</td></tr><tr><td>CD24</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>C1QG</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>CD74</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>HLA-DMA</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>HLA-DMB</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>DEFB1</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>FCGR3</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>PLSCR1</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>PRNP</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>RT1-BA</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>RT1-CE5</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>RT1-DA</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>RT1-DB1</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>RT1-BB</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>ANXA1</td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>FABP4</td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>S100A8</td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>S100A9</td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>CDC2A</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>EGR1</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>CRYAB</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>CCND1</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>CD36</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>GCLC</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>GGT1</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>GPX2</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>GPX3</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>GSR</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>GSS</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>HSPCB</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>LAMC1</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>MTAP2</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>NOL3</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>NQO1</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>PDLIM1</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>SLC25A4</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>TXNRD1</td><td>[EMPTY_CELL]</td><td>3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene symbol</b>\", \"bbox\": [4, 4, 51, 14]}, {\"cell\": \"<b>Gene name</b>\", \"bbox\": [92, 4, 132, 14]}, {\"cell\": \"<b>GO</b>\", \"bbox\": [468, 4, 483, 14]}, {\"cell\": \"CCL21B\", \"bbox\": [4, 27, 35, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 27, 235, 36]}, {\"cell\": \"1–2\", \"bbox\": [468, 27, 483, 36]}, {\"cell\": \"CD276\", \"bbox\": [4, 37, 31, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 37, 144, 47]}, {\"cell\": \"1–2\", \"bbox\": [468, 37, 483, 47]}, {\"cell\": \"SPP1\", \"bbox\": [4, 47, 23, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 47, 184, 57]}, {\"cell\": \"1–2\", \"bbox\": [468, 47, 483, 57]}, {\"cell\": \"CD24\", \"bbox\": [4, 57, 27, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 57, 140, 67]}, {\"cell\": \"1\", \"bbox\": [468, 57, 475, 67]}, {\"cell\": \"C1QG\", \"bbox\": [4, 68, 29, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 68, 311, 77]}, {\"cell\": \"1\", \"bbox\": [468, 68, 475, 77]}, {\"cell\": \"CD74\", \"bbox\": [4, 78, 27, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 78, 140, 88]}, {\"cell\": \"1\", \"bbox\": [468, 78, 475, 88]}, {\"cell\": \"HLA-DMA\", \"bbox\": [4, 88, 43, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 88, 267, 98]}, {\"cell\": \"1\", \"bbox\": [468, 88, 475, 98]}, {\"cell\": \"HLA-DMB\", \"bbox\": [4, 98, 42, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 98, 264, 108]}, {\"cell\": \"1\", \"bbox\": [468, 98, 475, 108]}, {\"cell\": \"DEFB1\", \"bbox\": [4, 109, 29, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 109, 144, 118]}, {\"cell\": \"1\", \"bbox\": [468, 109, 475, 118]}, {\"cell\": \"FCGR3\", \"bbox\": [4, 119, 31, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 119, 197, 129]}, {\"cell\": \"1\", \"bbox\": [468, 119, 475, 129]}, {\"cell\": \"PLSCR1\", \"bbox\": [4, 129, 33, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 129, 181, 139]}, {\"cell\": \"1\", \"bbox\": [468, 129, 475, 139]}, {\"cell\": \"PRNP\", \"bbox\": [4, 139, 26, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 139, 138, 149]}, {\"cell\": \"1\", \"bbox\": [468, 139, 475, 149]}, {\"cell\": \"RT1-BA\", \"bbox\": [4, 150, 33, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 150, 163, 159]}, {\"cell\": \"1\", \"bbox\": [468, 150, 475, 159]}, {\"cell\": \"RT1-CE5\", \"bbox\": [4, 160, 37, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 160, 148, 170]}, {\"cell\": \"1\", \"bbox\": [468, 160, 475, 170]}, {\"cell\": \"RT1-DA\", \"bbox\": [4, 170, 35, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 170, 165, 180]}, {\"cell\": \"1\", \"bbox\": [468, 170, 475, 180]}, {\"cell\": \"RT1-DB1\", \"bbox\": [4, 180, 38, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 180, 170, 190]}, {\"cell\": \"1\", \"bbox\": [468, 180, 475, 190]}, {\"cell\": \"RT1-BB\", \"bbox\": [4, 191, 32, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 191, 164, 200]}, {\"cell\": \"1\", \"bbox\": [468, 191, 475, 200]}, {\"cell\": \"ANXA1\", \"bbox\": [4, 201, 34, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 201, 131, 211]}, {\"cell\": \"2\", \"bbox\": [468, 201, 475, 211]}, {\"cell\": \"FABP4\", \"bbox\": [4, 211, 29, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 211, 219, 221]}, {\"cell\": \"2\", \"bbox\": [468, 211, 475, 221]}, {\"cell\": \"S100A8\", \"bbox\": [4, 221, 32, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 221, 202, 231]}, {\"cell\": \"2\", \"bbox\": [468, 221, 475, 231]}, {\"cell\": \"S100A9\", \"bbox\": [4, 232, 32, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 232, 202, 241]}, {\"cell\": \"2\", \"bbox\": [468, 232, 475, 241]}, {\"cell\": \"CDC2A\", \"bbox\": [4, 242, 34, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 242, 197, 252]}, {\"cell\": \"3\", \"bbox\": [468, 242, 475, 252]}, {\"cell\": \"EGR1\", \"bbox\": [4, 252, 26, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 252, 175, 262]}, {\"cell\": \"3\", \"bbox\": [468, 252, 475, 262]}, {\"cell\": \"CRYAB\", \"bbox\": [4, 262, 32, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 262, 151, 272]}, {\"cell\": \"3\", \"bbox\": [468, 262, 475, 272]}, {\"cell\": \"CCND1\", \"bbox\": [4, 273, 35, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 273, 125, 282]}, {\"cell\": \"3\", \"bbox\": [468, 273, 475, 282]}, {\"cell\": \"CD36\", \"bbox\": [4, 283, 27, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 283, 136, 293]}, {\"cell\": \"3\", \"bbox\": [468, 283, 475, 293]}, {\"cell\": \"GCLC\", \"bbox\": [4, 293, 28, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 293, 233, 303]}, {\"cell\": \"3\", \"bbox\": [468, 293, 475, 303]}, {\"cell\": \"GGT1\", \"bbox\": [4, 303, 28, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 303, 190, 313]}, {\"cell\": \"3\", \"bbox\": [468, 303, 475, 313]}, {\"cell\": \"GPX2\", \"bbox\": [4, 314, 27, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 314, 176, 323]}, {\"cell\": \"3\", \"bbox\": [468, 314, 475, 323]}, {\"cell\": \"GPX3\", \"bbox\": [4, 324, 27, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 324, 176, 334]}, {\"cell\": \"3\", \"bbox\": [468, 324, 475, 334]}, {\"cell\": \"GSR\", \"bbox\": [4, 334, 21, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 334, 165, 344]}, {\"cell\": \"3\", \"bbox\": [468, 334, 475, 344]}, {\"cell\": \"GSS\", \"bbox\": [4, 344, 20, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 344, 168, 354]}, {\"cell\": \"3\", \"bbox\": [468, 344, 475, 354]}, {\"cell\": \"HSPCB\", \"bbox\": [4, 355, 31, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 355, 208, 364]}, {\"cell\": \"3\", \"bbox\": [468, 355, 475, 364]}, {\"cell\": \"LAMC1\", \"bbox\": [4, 365, 32, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 365, 151, 375]}, {\"cell\": \"3\", \"bbox\": [468, 365, 475, 375]}, {\"cell\": \"MTAP2\", \"bbox\": [4, 375, 32, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 375, 204, 385]}, {\"cell\": \"3\", \"bbox\": [468, 375, 475, 385]}, {\"cell\": \"NOL3\", \"bbox\": [4, 385, 28, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 385, 300, 395]}, {\"cell\": \"3\", \"bbox\": [468, 385, 474, 395]}, {\"cell\": \"NQO1\", \"bbox\": [4, 396, 31, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 396, 217, 405]}, {\"cell\": \"3\", \"bbox\": [468, 396, 475, 405]}, {\"cell\": \"PDLIM1\", \"bbox\": [4, 406, 33, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 406, 193, 416]}, {\"cell\": \"3\", \"bbox\": [468, 406, 475, 416]}, {\"cell\": \"SLC25A4\", \"bbox\": [4, 416, 38, 426]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 416, 171, 426]}, {\"cell\": \"3\", \"bbox\": [468, 416, 475, 426]}, {\"cell\": \"TXNRD1\", \"bbox\": [4, 426, 39, 436]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 426, 174, 436]}, {\"cell\": \"3\", \"bbox\": [468, 426, 475, 436]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2729293_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}391{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Activity</b></td><td><b>Prevalence (%)</b></td><td><b>Odds Ratio (95% CI)</b></td><td><b>Adjusted Odds Ratio (95% CI)*</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>≤ 200 cells/ml</td><td>> 200 cells/ml</td></tr><tr><td>[EMPTY_CELL]</td><td>8.9 (54)</td><td>4.03 (2.03 – 8.00)</td><td>7.90** (0.45 – 137)</td><td>1.60 (0.47 – 5.44)</td></tr><tr><td>[EMPTY_CELL]</td><td>6.3 (38)</td><td>18.47 (4.47 – 76.3)</td><td>9.14** (0.52 – 159)</td><td><b>37.7** (2.29 – 620)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>10.2 (62)</td><td>6.62 (3.15 – 13.91)</td><td>3.38 (0.41 – 28)</td><td>2.30 (0.57 – 9.18)</td></tr><tr><td>[EMPTY_CELL]</td><td>13.2 (80)</td><td>5.33 (2.86 – 9.91)</td><td>3.33 (0.54 – 20)</td><td>3.40 (0.72 – 16)</td></tr><tr><td>[EMPTY_CELL]</td><td>16.4 (99)</td><td>11.27 (5.42 – 23.45)</td><td>3.78 (0.33 – 42)</td><td><b>3.30 (1.09 – 10)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>20.8 (125)</td><td>3.63 (2.34 – 5.63)</td><td>1.15 (0.31 – 4.14)</td><td>1.89 (0.79 – 4.54)</td></tr><tr><td>[EMPTY_CELL]</td><td>21.5 (121)</td><td>3.51 (2.25 – 5.47)</td><td>1.59 (0.45 – 5.49)</td><td>1.93 (0.87 – 4.31)</td></tr><tr><td>[EMPTY_CELL]</td><td>20.1 (122)</td><td>4.66 (2.89 – 7.53)</td><td>0.87 (0.26 – 2.94)</td><td><b>3.17 (1.07 – 9.37)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>25.2 (148)</td><td>6.75 (4.19 – 10.86)</td><td>4.36 (0.91 – 21)</td><td><b>3.29 (1.32 – 8.20)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>28.1 (171)</td><td>7.53 (4.73 – 11.98)</td><td><b>8.41 (1.32 – 54)</b></td><td><b>3.26 (1.41 – 7.52)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>32.6 (198)</td><td>8.43 (5.38 – 13.21)</td><td><b>3.97 (1.21 – 13)</b></td><td><b>2.97 (1.37 – 6.43)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>39.6 (241)</td><td>6.89 (4.72 – 10.06)</td><td><b>5.12 (1.62 – 16.2)</b></td><td><b>3.11 (1.59 – 6.10)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>42.4 (258)</td><td>5.87 (4.11 – 8.37)</td><td>2.10 (0.76 – 5.77)</td><td><b>3.10 (1.62 – 5.93)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>46.6 (283)</td><td>5.33 (3.81 – 7.47)</td><td>2.56 (1.00 – 6.57)</td><td><b>2.06 (1.16 – 3.68)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>71.9 (437)</td><td>5.09 (3.61 – 7.19)</td><td>2.69 (0.97 – 7.48)</td><td><b>2.60 (1.37 – 4.96)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>78.7 (481)</td><td>7.02 (4.73 – 10.4)</td><td><b>18.71 (2.31 – 151)</b></td><td><b>4.32 (2.20 – 8.51)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>49.3 (301)</td><td>4.12 (2.98 – 5.69)</td><td>1.77 (0.67 – 4.68)</td><td><b>1.76 (1.03 – 3.00)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>72.3 (442)</td><td>4.12 (2.94 – 5.78)</td><td>0.85 (0.27 – 2.65)</td><td><b>2.17 (1.20 – 3.93)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>81.4 (500)</td><td>4.15 (2.82 – 6.12)</td><td>2.48 (0.69 – 8.91)</td><td>1.84 (0.96 – 3.51)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Activity</b>\", \"bbox\": [4, 5, 37, 14]}, {\"cell\": \"<b>Prevalence (%)</b>\", \"bbox\": [133, 5, 192, 14]}, {\"cell\": \"<b>Odds Ratio (95% CI)</b>\", \"bbox\": [201, 5, 281, 14]}, {\"cell\": \"<b>Adjusted Odds Ratio (95% CI)*</b>\", \"bbox\": [291, 5, 412, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤ 200 cells/ml\", \"bbox\": [291, 16, 339, 38]}, {\"cell\": \"> 200 cells/ml\", \"bbox\": [422, 27, 471, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 60, 59]}, {\"cell\": \"8.9 (54)\", \"bbox\": [133, 49, 161, 59]}, {\"cell\": \"4.03 (2.03 – 8.00)\", \"bbox\": [201, 49, 262, 59]}, {\"cell\": \"7.90** (0.45 – 137)\", \"bbox\": [291, 49, 357, 59]}, {\"cell\": \"1.60 (0.47 – 5.44)\", \"bbox\": [422, 49, 483, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 59, 58, 69]}, {\"cell\": \"6.3 (38)\", \"bbox\": [133, 59, 161, 69]}, {\"cell\": \"18.47 (4.47 – 76.3)\", \"bbox\": [201, 59, 266, 69]}, {\"cell\": \"9.14** (0.52 – 159)\", \"bbox\": [291, 59, 357, 69]}, {\"cell\": \"<b>37.7** (2.29 – 620)</b>\", \"bbox\": [422, 59, 494, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 69, 41, 79]}, {\"cell\": \"10.2 (62)\", \"bbox\": [133, 69, 165, 79]}, {\"cell\": \"6.62 (3.15 – 13.91)\", \"bbox\": [201, 69, 266, 79]}, {\"cell\": \"3.38 (0.41 – 28)\", \"bbox\": [291, 69, 346, 79]}, {\"cell\": \"2.30 (0.57 – 9.18)\", \"bbox\": [422, 69, 483, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 79, 69, 89]}, {\"cell\": \"13.2 (80)\", \"bbox\": [133, 79, 165, 89]}, {\"cell\": \"5.33 (2.86 – 9.91)\", \"bbox\": [201, 79, 262, 89]}, {\"cell\": \"3.33 (0.54 – 20)\", \"bbox\": [291, 79, 346, 89]}, {\"cell\": \"3.40 (0.72 – 16)\", \"bbox\": [422, 79, 477, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 90, 32, 100]}, {\"cell\": \"16.4 (99)\", \"bbox\": [133, 90, 165, 100]}, {\"cell\": \"11.27 (5.42 – 23.45)\", \"bbox\": [201, 90, 270, 100]}, {\"cell\": \"3.78 (0.33 – 42)\", \"bbox\": [291, 90, 346, 100]}, {\"cell\": \"<b>3.30 (1.09 – 10)</b>\", \"bbox\": [422, 90, 482, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 100, 69, 110]}, {\"cell\": \"20.8 (125)\", \"bbox\": [133, 100, 169, 110]}, {\"cell\": \"3.63 (2.34 – 5.63)\", \"bbox\": [201, 100, 262, 110]}, {\"cell\": \"1.15 (0.31 – 4.14)\", \"bbox\": [291, 100, 352, 110]}, {\"cell\": \"1.89 (0.79 – 4.54)\", \"bbox\": [422, 100, 483, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 110, 31, 120]}, {\"cell\": \"21.5 (121)\", \"bbox\": [133, 110, 169, 120]}, {\"cell\": \"3.51 (2.25 – 5.47)\", \"bbox\": [201, 110, 262, 120]}, {\"cell\": \"1.59 (0.45 – 5.49)\", \"bbox\": [291, 110, 352, 120]}, {\"cell\": \"1.93 (0.87 – 4.31)\", \"bbox\": [422, 110, 483, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 121, 26, 130]}, {\"cell\": \"20.1 (122)\", \"bbox\": [133, 121, 169, 130]}, {\"cell\": \"4.66 (2.89 – 7.53)\", \"bbox\": [201, 121, 262, 130]}, {\"cell\": \"0.87 (0.26 – 2.94)\", \"bbox\": [291, 121, 352, 130]}, {\"cell\": \"<b>3.17 (1.07 – 9.37)</b>\", \"bbox\": [422, 121, 489, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 131, 79, 141]}, {\"cell\": \"25.2 (148)\", \"bbox\": [133, 131, 169, 141]}, {\"cell\": \"6.75 (4.19 – 10.86)\", \"bbox\": [201, 131, 266, 141]}, {\"cell\": \"4.36 (0.91 – 21)\", \"bbox\": [291, 131, 346, 141]}, {\"cell\": \"<b>3.29 (1.32 – 8.20)</b>\", \"bbox\": [422, 131, 489, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 141, 33, 151]}, {\"cell\": \"28.1 (171)\", \"bbox\": [133, 141, 169, 151]}, {\"cell\": \"7.53 (4.73 – 11.98)\", \"bbox\": [201, 141, 266, 151]}, {\"cell\": \"<b>8.41 (1.32 – 54)</b>\", \"bbox\": [291, 141, 351, 151]}, {\"cell\": \"<b>3.26 (1.41 – 7.52)</b>\", \"bbox\": [422, 141, 489, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 151, 40, 161]}, {\"cell\": \"32.6 (198)\", \"bbox\": [133, 151, 169, 161]}, {\"cell\": \"8.43 (5.38 – 13.21)\", \"bbox\": [201, 151, 266, 161]}, {\"cell\": \"<b>3.97 (1.21 – 13)</b>\", \"bbox\": [291, 152, 351, 161]}, {\"cell\": \"<b>2.97 (1.37 – 6.43)</b>\", \"bbox\": [422, 152, 489, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 162, 68, 171]}, {\"cell\": \"39.6 (241)\", \"bbox\": [133, 162, 169, 171]}, {\"cell\": \"6.89 (4.72 – 10.06)\", \"bbox\": [201, 162, 266, 171]}, {\"cell\": \"<b>5.12 (1.62 – 16.2)</b>\", \"bbox\": [291, 162, 358, 171]}, {\"cell\": \"<b>3.11 (1.59 – 6.10)</b>\", \"bbox\": [422, 162, 489, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 172, 65, 182]}, {\"cell\": \"42.4 (258)\", \"bbox\": [133, 172, 169, 182]}, {\"cell\": \"5.87 (4.11 – 8.37)\", \"bbox\": [201, 172, 262, 182]}, {\"cell\": \"2.10 (0.76 – 5.77)\", \"bbox\": [291, 172, 352, 182]}, {\"cell\": \"<b>3.10 (1.62 – 5.93)</b>\", \"bbox\": [422, 172, 489, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 182, 53, 192]}, {\"cell\": \"46.6 (283)\", \"bbox\": [133, 182, 169, 192]}, {\"cell\": \"5.33 (3.81 – 7.47)\", \"bbox\": [201, 182, 262, 192]}, {\"cell\": \"2.56 (1.00 – 6.57)\", \"bbox\": [291, 182, 352, 192]}, {\"cell\": \"<b>2.06 (1.16 – 3.68)</b>\", \"bbox\": [422, 182, 489, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 62, 202]}, {\"cell\": \"71.9 (437)\", \"bbox\": [133, 192, 169, 202]}, {\"cell\": \"5.09 (3.61 – 7.19)\", \"bbox\": [201, 192, 262, 202]}, {\"cell\": \"2.69 (0.97 – 7.48)\", \"bbox\": [291, 192, 352, 202]}, {\"cell\": \"<b>2.60 (1.37 – 4.96)</b>\", \"bbox\": [422, 193, 489, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 203, 91, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 213, 68, 223]}, {\"cell\": \"78.7 (481)\", \"bbox\": [133, 213, 169, 223]}, {\"cell\": \"7.02 (4.73 – 10.4)\", \"bbox\": [201, 213, 262, 223]}, {\"cell\": \"<b>18.71 (2.31 – 151)</b>\", \"bbox\": [291, 213, 360, 223]}, {\"cell\": \"<b>4.32 (2.20 – 8.51)</b>\", \"bbox\": [422, 213, 489, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 223, 123, 233]}, {\"cell\": \"49.3 (301)\", \"bbox\": [133, 223, 169, 233]}, {\"cell\": \"4.12 (2.98 – 5.69)\", \"bbox\": [201, 223, 262, 233]}, {\"cell\": \"1.77 (0.67 – 4.68)\", \"bbox\": [291, 223, 352, 233]}, {\"cell\": \"<b>1.76 (1.03 – 3.00)</b>\", \"bbox\": [422, 223, 489, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 233, 72, 243]}, {\"cell\": \"72.3 (442)\", \"bbox\": [133, 233, 169, 243]}, {\"cell\": \"4.12 (2.94 – 5.78)\", \"bbox\": [201, 233, 262, 243]}, {\"cell\": \"0.85 (0.27 – 2.65)\", \"bbox\": [291, 233, 352, 243]}, {\"cell\": \"<b>2.17 (1.20 – 3.93)</b>\", \"bbox\": [422, 234, 489, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 244, 71, 253]}, {\"cell\": \"81.4 (500)\", \"bbox\": [133, 244, 169, 253]}, {\"cell\": \"4.15 (2.82 – 6.12)\", \"bbox\": [201, 244, 262, 253]}, {\"cell\": \"2.48 (0.69 – 8.91)\", \"bbox\": [291, 244, 352, 253]}, {\"cell\": \"1.84 (0.96 – 3.51)\", \"bbox\": [422, 244, 483, 253]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC519026_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}392{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>GeneName</b></td><td><b>GenBankAccession</b></td><td><b>gDNALength (bp)</b></td><td><b>cDNALength (bp)</b></td><td><b>ORFLength (bp)</b></td><td><b>AA Numbers</b></td><td><b>MW (Da)</b></td><td><b>Isoelectric Point (<i>p</i>I)</b></td></tr></thead><tbody><tr><td><i>BpWUS</i></td><td>MF420354</td><td>2931</td><td>1275</td><td>900</td><td>299</td><td>32518</td><td>[EMPTY_CELL]</td></tr><tr><td><i>BpWOX1</i></td><td>MF420355</td><td>2861</td><td>1728</td><td>1212</td><td>403</td><td>45811</td><td>[EMPTY_CELL]</td></tr><tr><td><i>BpWOX2</i></td><td>MF420356</td><td>3241</td><td>1439</td><td>1095</td><td>364</td><td>41653</td><td>[EMPTY_CELL]</td></tr><tr><td><i>BpWOX3</i></td><td>MF420357</td><td>1925</td><td>1088</td><td>723</td><td>240</td><td>27653</td><td>[EMPTY_CELL]</td></tr><tr><td><i>BpWOX4</i></td><td>MF420358</td><td>1463</td><td>1105</td><td>744</td><td>247</td><td>27949</td><td>[EMPTY_CELL]</td></tr><tr><td><i>BpWOX5</i></td><td>MF420359</td><td>927</td><td>805</td><td>624</td><td>207</td><td>24082</td><td>[EMPTY_CELL]</td></tr><tr><td><i>BpWOX7</i></td><td>MF420360</td><td>3055</td><td>1119</td><td>858</td><td>285</td><td>31261</td><td>[EMPTY_CELL]</td></tr><tr><td><i>BpWOX8</i></td><td>MF420361</td><td>2756</td><td>1639</td><td>1260</td><td>419</td><td>45929</td><td>[EMPTY_CELL]</td></tr><tr><td><i>BpWOX9</i></td><td>MF420362</td><td>2920</td><td>1397</td><td>816</td><td>271</td><td>31020</td><td>[EMPTY_CELL]</td></tr><tr><td><i>BpWOX10</i></td><td>MF420363</td><td>2393</td><td>1256</td><td>780</td><td>259</td><td>29625</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>GeneName</b>\", \"bbox\": [12, 10, 39, 32]}, {\"cell\": \"<b>GenBankAccession</b>\", \"bbox\": [54, 10, 97, 32]}, {\"cell\": \"<b>gDNALength (bp)</b>\", \"bbox\": [106, 5, 137, 38]}, {\"cell\": \"<b>cDNALength (bp)</b>\", \"bbox\": [154, 5, 185, 38]}, {\"cell\": \"<b>ORFLength (bp)</b>\", \"bbox\": [202, 5, 233, 38]}, {\"cell\": \"<b>AA Numbers</b>\", \"bbox\": [247, 10, 287, 32]}, {\"cell\": \"<b>MW (Da)</b>\", \"bbox\": [304, 10, 324, 32]}, {\"cell\": \"<b>Isoelectric Point (<i>p</i>I)</b>\", \"bbox\": [347, 10, 391, 32]}, {\"cell\": \"<i>BpWUS</i>\", \"bbox\": [6, 43, 39, 54]}, {\"cell\": \"MF420354\", \"bbox\": [55, 43, 96, 54]}, {\"cell\": \"2931\", \"bbox\": [112, 43, 132, 54]}, {\"cell\": \"1275\", \"bbox\": [160, 43, 180, 54]}, {\"cell\": \"900\", \"bbox\": [210, 43, 226, 54]}, {\"cell\": \"299\", \"bbox\": [258, 43, 274, 54]}, {\"cell\": \"32518\", \"bbox\": [302, 43, 326, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 43, 378, 54]}, {\"cell\": \"<i>BpWOX1</i>\", \"bbox\": [6, 54, 45, 65]}, {\"cell\": \"MF420355\", \"bbox\": [55, 54, 96, 65]}, {\"cell\": \"2861\", \"bbox\": [112, 54, 132, 65]}, {\"cell\": \"1728\", \"bbox\": [160, 54, 180, 65]}, {\"cell\": \"1212\", \"bbox\": [208, 54, 228, 65]}, {\"cell\": \"403\", \"bbox\": [258, 54, 274, 65]}, {\"cell\": \"45811\", \"bbox\": [302, 54, 326, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 54, 378, 65]}, {\"cell\": \"<i>BpWOX2</i>\", \"bbox\": [6, 65, 45, 76]}, {\"cell\": \"MF420356\", \"bbox\": [55, 65, 96, 76]}, {\"cell\": \"3241\", \"bbox\": [112, 65, 132, 76]}, {\"cell\": \"1439\", \"bbox\": [160, 65, 180, 76]}, {\"cell\": \"1095\", \"bbox\": [208, 65, 228, 76]}, {\"cell\": \"364\", \"bbox\": [258, 65, 274, 76]}, {\"cell\": \"41653\", \"bbox\": [302, 65, 326, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 65, 378, 76]}, {\"cell\": \"<i>BpWOX3</i>\", \"bbox\": [6, 76, 45, 87]}, {\"cell\": \"MF420357\", \"bbox\": [55, 76, 96, 87]}, {\"cell\": \"1925\", \"bbox\": [112, 76, 132, 87]}, {\"cell\": \"1088\", \"bbox\": [160, 76, 180, 87]}, {\"cell\": \"723\", \"bbox\": [210, 76, 226, 87]}, {\"cell\": \"240\", \"bbox\": [258, 76, 274, 87]}, {\"cell\": \"27653\", \"bbox\": [302, 76, 326, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [363, 76, 376, 87]}, {\"cell\": \"<i>BpWOX4</i>\", \"bbox\": [6, 87, 45, 98]}, {\"cell\": \"MF420358\", \"bbox\": [55, 87, 96, 98]}, {\"cell\": \"1463\", \"bbox\": [112, 87, 132, 98]}, {\"cell\": \"1105\", \"bbox\": [160, 87, 180, 98]}, {\"cell\": \"744\", \"bbox\": [210, 87, 226, 98]}, {\"cell\": \"247\", \"bbox\": [258, 87, 274, 98]}, {\"cell\": \"27949\", \"bbox\": [302, 87, 326, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 87, 378, 98]}, {\"cell\": \"<i>BpWOX5</i>\", \"bbox\": [6, 98, 45, 109]}, {\"cell\": \"MF420359\", \"bbox\": [55, 98, 96, 109]}, {\"cell\": \"927\", \"bbox\": [114, 98, 129, 109]}, {\"cell\": \"805\", \"bbox\": [162, 98, 177, 109]}, {\"cell\": \"624\", \"bbox\": [210, 98, 226, 109]}, {\"cell\": \"207\", \"bbox\": [258, 98, 274, 109]}, {\"cell\": \"24082\", \"bbox\": [302, 98, 326, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 98, 378, 109]}, {\"cell\": \"<i>BpWOX7</i>\", \"bbox\": [6, 109, 45, 120]}, {\"cell\": \"MF420360\", \"bbox\": [55, 109, 96, 120]}, {\"cell\": \"3055\", \"bbox\": [112, 109, 132, 120]}, {\"cell\": \"1119\", \"bbox\": [160, 109, 180, 120]}, {\"cell\": \"858\", \"bbox\": [210, 109, 226, 120]}, {\"cell\": \"285\", \"bbox\": [258, 109, 274, 120]}, {\"cell\": \"31261\", \"bbox\": [302, 109, 326, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [363, 109, 376, 120]}, {\"cell\": \"<i>BpWOX8</i>\", \"bbox\": [6, 120, 45, 131]}, {\"cell\": \"MF420361\", \"bbox\": [55, 120, 96, 131]}, {\"cell\": \"2756\", \"bbox\": [112, 120, 132, 131]}, {\"cell\": \"1639\", \"bbox\": [160, 120, 180, 131]}, {\"cell\": \"1260\", \"bbox\": [208, 120, 228, 131]}, {\"cell\": \"419\", \"bbox\": [258, 120, 274, 131]}, {\"cell\": \"45929\", \"bbox\": [302, 120, 326, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 120, 378, 131]}, {\"cell\": \"<i>BpWOX9</i>\", \"bbox\": [6, 131, 45, 142]}, {\"cell\": \"MF420362\", \"bbox\": [55, 131, 96, 142]}, {\"cell\": \"2920\", \"bbox\": [112, 131, 132, 142]}, {\"cell\": \"1397\", \"bbox\": [160, 131, 180, 142]}, {\"cell\": \"816\", \"bbox\": [210, 131, 226, 142]}, {\"cell\": \"271\", \"bbox\": [258, 131, 274, 142]}, {\"cell\": \"31020\", \"bbox\": [302, 131, 326, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 131, 378, 142]}, {\"cell\": \"<i>BpWOX10</i>\", \"bbox\": [6, 142, 49, 153]}, {\"cell\": \"MF420363\", \"bbox\": [55, 142, 96, 153]}, {\"cell\": \"2393\", \"bbox\": [112, 142, 132, 153]}, {\"cell\": \"1256\", \"bbox\": [160, 142, 180, 153]}, {\"cell\": \"780\", \"bbox\": [210, 142, 226, 153]}, {\"cell\": \"259\", \"bbox\": [258, 142, 274, 153]}, {\"cell\": \"29625\", \"bbox\": [302, 142, 326, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 142, 378, 153]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5578171_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}393{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Scientific name</b></td><td><b>Cultural Importance</b></td><td><b>Use Diversity</b></td><td><b>Use Value</b></td></tr></thead><tbody><tr><td><i>Solanum tuberosum</i> L.</td><td>1.15</td><td>0.58</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Allium victorialis</i> L.</td><td>1.78</td><td>1.20</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Rubus idaeus</i> L.</td><td>1.12</td><td>0.52</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Pinus kochiana</i> Klotzsch ex K. Koch</td><td>2.48</td><td>2.57</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Raphanus sativus</i> L. var. <i>major</i></td><td>1.00</td><td>0.00</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Cucumis sativus</i> L.</td><td>1.08</td><td>0.58</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Allium sativum</i> L.</td><td>1.00</td><td>0.08</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Betula litwinowii</i> Doluch.</td><td>2.28</td><td>2.79</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Vaccinium myrtillus</i> L.</td><td>1.26</td><td>0.85</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Daucus carota</i> L. ssp. <i>sativus</i></td><td>1.00</td><td>0.00</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Agasyllis latifolia</i> (Bieb.) Boiss.</td><td>1.44</td><td>1.61</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Anethum graveolens</i> L.</td><td>1.00</td><td>0.00</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Urtica dioica</i> L.</td><td>1.27</td><td>1.37</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Coriandrum sativum</i> L.</td><td>1.00</td><td>0.00</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Petroselinum crispum</i> (Mill.) Fuss.</td><td>1.00</td><td>0.24</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Brassica oleracea</i> L.</td><td>1.00</td><td>0.00</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Chaerophyllum caucasicum</i> Schischk.</td><td>1.26</td><td>1.20</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Sorbus caucasigena</i> Kom.</td><td>1.28</td><td>1.55</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Viburnum lantana</i> L.</td><td>1.44</td><td>1.23</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Beta vulgaris</i> L.</td><td>1.06</td><td>0.21</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Scientific name</b>\", \"bbox\": [1, 4, 51, 13]}, {\"cell\": \"<b>Cultural Importance</b>\", \"bbox\": [193, 4, 258, 13]}, {\"cell\": \"<b>Use Diversity</b>\", \"bbox\": [333, 4, 376, 13]}, {\"cell\": \"<b>Use Value</b>\", \"bbox\": [451, 4, 484, 13]}, {\"cell\": \"<i>Solanum tuberosum</i> L.\", \"bbox\": [1, 17, 72, 27]}, {\"cell\": \"1.15\", \"bbox\": [218, 17, 233, 27]}, {\"cell\": \"0.58\", \"bbox\": [347, 17, 362, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 17, 475, 27]}, {\"cell\": \"<i>Allium victorialis</i> L.\", \"bbox\": [1, 31, 60, 41]}, {\"cell\": \"1.78\", \"bbox\": [218, 31, 233, 41]}, {\"cell\": \"1.20\", \"bbox\": [347, 31, 362, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 31, 475, 41]}, {\"cell\": \"<i>Rubus idaeus</i> L.\", \"bbox\": [1, 45, 50, 55]}, {\"cell\": \"1.12\", \"bbox\": [218, 45, 233, 55]}, {\"cell\": \"0.52\", \"bbox\": [347, 45, 362, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 45, 475, 55]}, {\"cell\": \"<i>Pinus kochiana</i> Klotzsch ex K. Koch\", \"bbox\": [1, 59, 113, 69]}, {\"cell\": \"2.48\", \"bbox\": [218, 59, 233, 69]}, {\"cell\": \"2.57\", \"bbox\": [347, 59, 362, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 59, 475, 69]}, {\"cell\": \"<i>Raphanus sativus</i> L. var. <i>major</i>\", \"bbox\": [1, 73, 97, 83]}, {\"cell\": \"1.00\", \"bbox\": [218, 73, 233, 83]}, {\"cell\": \"0.00\", \"bbox\": [347, 73, 362, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 73, 475, 83]}, {\"cell\": \"<i>Cucumis sativus</i> L.\", \"bbox\": [1, 87, 59, 97]}, {\"cell\": \"1.08\", \"bbox\": [218, 87, 233, 97]}, {\"cell\": \"0.58\", \"bbox\": [347, 87, 362, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 87, 475, 97]}, {\"cell\": \"<i>Allium sativum</i> L.\", \"bbox\": [1, 101, 56, 111]}, {\"cell\": \"1.00\", \"bbox\": [218, 101, 233, 111]}, {\"cell\": \"0.08\", \"bbox\": [347, 101, 362, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 101, 475, 111]}, {\"cell\": \"<i>Betula litwinowii</i> Doluch.\", \"bbox\": [1, 115, 80, 125]}, {\"cell\": \"2.28\", \"bbox\": [218, 115, 233, 125]}, {\"cell\": \"2.79\", \"bbox\": [347, 115, 362, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 115, 475, 125]}, {\"cell\": \"<i>Vaccinium myrtillus</i> L.\", \"bbox\": [1, 129, 70, 139]}, {\"cell\": \"1.26\", \"bbox\": [218, 129, 233, 139]}, {\"cell\": \"0.85\", \"bbox\": [347, 129, 362, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 129, 475, 139]}, {\"cell\": \"<i>Daucus carota</i> L. ssp. <i>sativus</i>\", \"bbox\": [1, 143, 92, 153]}, {\"cell\": \"1.00\", \"bbox\": [218, 143, 233, 153]}, {\"cell\": \"0.00\", \"bbox\": [347, 143, 362, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 143, 475, 153]}, {\"cell\": \"<i>Agasyllis latifolia</i> (Bieb.) Boiss.\", \"bbox\": [1, 157, 94, 167]}, {\"cell\": \"1.44\", \"bbox\": [218, 157, 233, 167]}, {\"cell\": \"1.61\", \"bbox\": [347, 157, 362, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 157, 475, 167]}, {\"cell\": \"<i>Anethum graveolens</i> L.\", \"bbox\": [1, 171, 73, 181]}, {\"cell\": \"1.00\", \"bbox\": [218, 171, 233, 181]}, {\"cell\": \"0.00\", \"bbox\": [347, 171, 362, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 171, 475, 181]}, {\"cell\": \"<i>Urtica dioica</i> L.\", \"bbox\": [1, 185, 49, 195]}, {\"cell\": \"1.27\", \"bbox\": [218, 185, 233, 195]}, {\"cell\": \"1.37\", \"bbox\": [347, 185, 362, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 185, 475, 195]}, {\"cell\": \"<i>Coriandrum sativum</i> L.\", \"bbox\": [1, 199, 73, 209]}, {\"cell\": \"1.00\", \"bbox\": [218, 199, 233, 209]}, {\"cell\": \"0.00\", \"bbox\": [347, 199, 362, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 199, 475, 209]}, {\"cell\": \"<i>Petroselinum crispum</i> (Mill.) Fuss.\", \"bbox\": [1, 213, 105, 223]}, {\"cell\": \"1.00\", \"bbox\": [218, 213, 233, 223]}, {\"cell\": \"0.24\", \"bbox\": [347, 213, 362, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 213, 475, 223]}, {\"cell\": \"<i>Brassica oleracea</i> L.\", \"bbox\": [1, 227, 62, 237]}, {\"cell\": \"1.00\", \"bbox\": [218, 227, 233, 237]}, {\"cell\": \"0.00\", \"bbox\": [347, 227, 362, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 227, 475, 237]}, {\"cell\": \"<i>Chaerophyllum caucasicum</i> Schischk.\", \"bbox\": [1, 241, 118, 251]}, {\"cell\": \"1.26\", \"bbox\": [218, 241, 233, 251]}, {\"cell\": \"1.20\", \"bbox\": [347, 241, 362, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 241, 475, 251]}, {\"cell\": \"<i>Sorbus caucasigena</i> Kom.\", \"bbox\": [1, 255, 82, 265]}, {\"cell\": \"1.28\", \"bbox\": [218, 255, 233, 265]}, {\"cell\": \"1.55\", \"bbox\": [347, 255, 362, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 255, 475, 265]}, {\"cell\": \"<i>Viburnum lantana</i> L.\", \"bbox\": [1, 269, 66, 279]}, {\"cell\": \"1.44\", \"bbox\": [218, 269, 233, 279]}, {\"cell\": \"1.23\", \"bbox\": [347, 269, 362, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 269, 475, 279]}, {\"cell\": \"<i>Beta vulgaris</i> L.\", \"bbox\": [1, 283, 49, 293]}, {\"cell\": \"1.06\", \"bbox\": [218, 283, 233, 293]}, {\"cell\": \"0.21\", \"bbox\": [347, 283, 362, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 283, 475, 293]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5034577_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}394{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Data type</b></td><td><b>Source</b></td></tr></thead><tbody><tr><td>Rainfall</td><td>[EMPTY_CELL]</td></tr><tr><td>Temperature</td><td>[EMPTY_CELL]</td></tr><tr><td>Altitude</td><td>[EMPTY_CELL]</td></tr><tr><td>Demographics</td><td>[EMPTY_CELL]</td></tr><tr><td>NDVI</td><td>[EMPTY_CELL]</td></tr><tr><td>EVI</td><td>[EMPTY_CELL]</td></tr><tr><td>Political Stability</td><td>[EMPTY_CELL]</td></tr><tr><td>Southern Oscillation Index</td><td>[EMPTY_CELL]</td></tr><tr><td>Sea Surf. Temp. Anomaly</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Data type</b>\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"<b>Source</b>\", \"bbox\": [121, 4, 147, 13]}, {\"cell\": \"Rainfall\", \"bbox\": [1, 17, 25, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 17, 349, 27]}, {\"cell\": \"Temperature\", \"bbox\": [1, 30, 43, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 30, 407, 40]}, {\"cell\": \"Altitude\", \"bbox\": [1, 43, 28, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 43, 484, 53]}, {\"cell\": \"Demographics\", \"bbox\": [1, 56, 49, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 56, 366, 66]}, {\"cell\": \"NDVI\", \"bbox\": [1, 70, 18, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 70, 407, 79]}, {\"cell\": \"EVI\", \"bbox\": [1, 83, 12, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 83, 407, 92]}, {\"cell\": \"Political Stability\", \"bbox\": [1, 96, 54, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 96, 425, 105]}, {\"cell\": \"Southern Oscillation Index\", \"bbox\": [1, 109, 87, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 109, 362, 119]}, {\"cell\": \"Sea Surf. Temp. Anomaly\", \"bbox\": [1, 122, 82, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 122, 356, 132]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3534444_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}395{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Age</b></td><td><b>Gender (male)</b></td><td><b>DM</b></td><td><b>Hypertension</b></td><td><b>MAP</b></td><td><b>AVMG (pre–op)</b></td><td><b>CPB time</b></td><td><b>PWV value</b></td><td><b>PWV cut–off</b></td></tr></thead><tbody><tr><td colspan=\\\"10\\\"><b>Pre–operative</b></td></tr><tr><td>LV function</td><td>0.18</td><td>-0.19</td><td>-0.11</td><td><b>-0.38</b><sup><b>**</b></sup></td><td>[EMPTY_CELL]</td><td>-0.13</td><td>-0.04</td><td>-0.12</td><td>-0.03</td></tr><tr><td>NYHA class</td><td>0.09</td><td>-0.05</td><td>0.18</td><td>-0.11</td><td>[EMPTY_CELL]</td><td>-0.14</td><td>-0.08</td><td><b>0.36</b><sup><b>**</b></sup></td><td><b>0.50</b><sup><b>**</b></sup></td></tr><tr><td>BNP</td><td>0.27</td><td><b>-0.35</b><sup><b>*</b></sup></td><td>-0.19</td><td>-0.07</td><td>[EMPTY_CELL]</td><td>0.10</td><td>-0.00</td><td>0.21</td><td><b>0.34</b><sup><b>*</b></sup></td></tr><tr><td colspan=\\\"10\\\"><b>Immediate post-operative</b></td></tr><tr><td>BNP (3 h post-CPB)</td><td>0.22</td><td><b>-0.34</b><sup><b>*</b></sup></td><td>-0.23</td><td>-0.13</td><td>[EMPTY_CELL]</td><td>-0.14</td><td>-0.15</td><td>0.09</td><td>0.26</td></tr><tr><td>BNP (18 h post-CPB)</td><td>0.24</td><td>-0.26</td><td><b>-0.29</b><sup><b>*</b></sup></td><td>-0.01</td><td>[EMPTY_CELL]</td><td>-0.09</td><td>-0.04</td><td>0.24</td><td><b>0.32</b><sup><b>*</b></sup></td></tr><tr><td>Inotropes</td><td>0.24</td><td>-0.24</td><td>-0.11</td><td>-0.15</td><td>[EMPTY_CELL]</td><td>-0.08</td><td>-0.14</td><td><b>0.35</b><sup><b>*</b></sup></td><td>0.18</td></tr><tr><td>Arrhythmia</td><td>0.24</td><td>0.13</td><td>-0.14</td><td>0.11</td><td>[EMPTY_CELL]</td><td>0.04</td><td>-0.07</td><td>0.06</td><td>-0.12</td></tr><tr><td colspan=\\\"10\\\"><b>Post–operative</b></td></tr><tr><td>LV function</td><td>0.07</td><td>0.10</td><td>0.23</td><td>-0.12</td><td>[EMPTY_CELL]</td><td>-0.1</td><td>-0.08</td><td>-0.14</td><td>-0.06</td></tr><tr><td>NYHA class</td><td>0.03</td><td>-0.24</td><td><b>0.28</b><sup><b>*</b></sup></td><td>0.15</td><td>[EMPTY_CELL]</td><td>-0.15</td><td>0.15</td><td>0.20</td><td><b>0.51</b><sup><b>**</b></sup></td></tr><tr><td>Leg edema</td><td>-0.02</td><td>-0.13</td><td>0.02</td><td>0.05</td><td>[EMPTY_CELL]</td><td>-0.21</td><td>0.03</td><td>0.07</td><td><b>0.38</b><sup><b>**</b></sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Age</b>\", \"bbox\": [78, 4, 94, 13]}, {\"cell\": \"<b>Gender (male)</b>\", \"bbox\": [104, 4, 155, 13]}, {\"cell\": \"<b>DM</b>\", \"bbox\": [169, 4, 183, 13]}, {\"cell\": \"<b>Hypertension</b>\", \"bbox\": [196, 4, 245, 13]}, {\"cell\": \"<b>MAP</b>\", \"bbox\": [256, 4, 274, 13]}, {\"cell\": \"<b>AVMG (pre–op)</b>\", \"bbox\": [286, 4, 341, 13]}, {\"cell\": \"<b>CPB time</b>\", \"bbox\": [350, 4, 384, 13]}, {\"cell\": \"<b>PWV value</b>\", \"bbox\": [392, 4, 431, 13]}, {\"cell\": \"<b>PWV cut–off</b>\", \"bbox\": [440, 4, 484, 13]}, {\"cell\": \"<b>Pre–operative</b>\", \"bbox\": [1, 17, 51, 27]}, {\"cell\": \"LV function\", \"bbox\": [1, 31, 39, 41]}, {\"cell\": \"0.18\", \"bbox\": [78, 31, 93, 41]}, {\"cell\": \"-0.19\", \"bbox\": [120, 31, 140, 41]}, {\"cell\": \"-0.11\", \"bbox\": [166, 31, 186, 41]}, {\"cell\": \"<b>-0.38</b><sup><b>**</b></sup>\", \"bbox\": [207, 29, 234, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 31, 275, 41]}, {\"cell\": \"-0.13\", \"bbox\": [304, 31, 323, 41]}, {\"cell\": \"-0.04\", \"bbox\": [357, 31, 377, 41]}, {\"cell\": \"-0.12\", \"bbox\": [402, 31, 421, 41]}, {\"cell\": \"-0.03\", \"bbox\": [452, 31, 472, 41]}, {\"cell\": \"NYHA class\", \"bbox\": [1, 45, 38, 55]}, {\"cell\": \"0.09\", \"bbox\": [78, 45, 93, 55]}, {\"cell\": \"-0.05\", \"bbox\": [120, 45, 140, 55]}, {\"cell\": \"0.18\", \"bbox\": [168, 45, 183, 55]}, {\"cell\": \"-0.11\", \"bbox\": [211, 45, 230, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 45, 273, 55]}, {\"cell\": \"-0.14\", \"bbox\": [304, 45, 323, 55]}, {\"cell\": \"-0.08\", \"bbox\": [357, 45, 377, 55]}, {\"cell\": \"<b>0.36</b><sup><b>**</b></sup>\", \"bbox\": [401, 43, 422, 55]}, {\"cell\": \"<b>0.50</b><sup><b>**</b></sup>\", \"bbox\": [451, 43, 473, 55]}, {\"cell\": \"BNP\", \"bbox\": [1, 59, 16, 69]}, {\"cell\": \"0.27\", \"bbox\": [78, 59, 93, 69]}, {\"cell\": \"<b>-0.35</b><sup><b>*</b></sup>\", \"bbox\": [118, 57, 142, 69]}, {\"cell\": \"-0.19\", \"bbox\": [166, 59, 186, 69]}, {\"cell\": \"-0.07\", \"bbox\": [211, 59, 230, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 57, 277, 69]}, {\"cell\": \"0.10\", \"bbox\": [306, 59, 321, 69]}, {\"cell\": \"-0.00\", \"bbox\": [357, 59, 377, 69]}, {\"cell\": \"0.21\", \"bbox\": [404, 59, 419, 69]}, {\"cell\": \"<b>0.34</b><sup><b>*</b></sup>\", \"bbox\": [453, 57, 472, 69]}, {\"cell\": \"<b>Immediate post-operative</b>\", \"bbox\": [1, 73, 92, 83]}, {\"cell\": \"BNP (3 h post-CPB)\", \"bbox\": [1, 87, 64, 97]}, {\"cell\": \"0.22\", \"bbox\": [78, 87, 93, 97]}, {\"cell\": \"<b>-0.34</b><sup><b>*</b></sup>\", \"bbox\": [118, 85, 142, 97]}, {\"cell\": \"-0.23\", \"bbox\": [166, 87, 186, 97]}, {\"cell\": \"-0.13\", \"bbox\": [211, 87, 230, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 87, 275, 97]}, {\"cell\": \"-0.14\", \"bbox\": [304, 87, 323, 97]}, {\"cell\": \"-0.15\", \"bbox\": [357, 87, 377, 97]}, {\"cell\": \"0.09\", \"bbox\": [404, 87, 419, 97]}, {\"cell\": \"0.26\", \"bbox\": [455, 87, 469, 97]}, {\"cell\": \"BNP (18 h post-CPB)\", \"bbox\": [1, 101, 67, 111]}, {\"cell\": \"0.24\", \"bbox\": [78, 101, 93, 111]}, {\"cell\": \"-0.26\", \"bbox\": [120, 101, 140, 111]}, {\"cell\": \"<b>-0.29</b><sup><b>*</b></sup>\", \"bbox\": [164, 99, 188, 111]}, {\"cell\": \"-0.01\", \"bbox\": [211, 101, 230, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 101, 273, 111]}, {\"cell\": \"-0.09\", \"bbox\": [304, 101, 323, 111]}, {\"cell\": \"-0.04\", \"bbox\": [357, 101, 377, 111]}, {\"cell\": \"0.24\", \"bbox\": [404, 101, 419, 111]}, {\"cell\": \"<b>0.32</b><sup><b>*</b></sup>\", \"bbox\": [453, 99, 472, 111]}, {\"cell\": \"Inotropes\", \"bbox\": [1, 115, 33, 125]}, {\"cell\": \"0.24\", \"bbox\": [78, 115, 93, 125]}, {\"cell\": \"-0.24\", \"bbox\": [120, 115, 140, 125]}, {\"cell\": \"-0.11\", \"bbox\": [166, 115, 186, 125]}, {\"cell\": \"-0.15\", \"bbox\": [211, 115, 230, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 115, 275, 125]}, {\"cell\": \"-0.08\", \"bbox\": [304, 115, 323, 125]}, {\"cell\": \"-0.14\", \"bbox\": [357, 115, 377, 125]}, {\"cell\": \"<b>0.35</b><sup><b>*</b></sup>\", \"bbox\": [402, 113, 421, 125]}, {\"cell\": \"0.18\", \"bbox\": [455, 115, 469, 125]}, {\"cell\": \"Arrhythmia\", \"bbox\": [1, 129, 38, 139]}, {\"cell\": \"0.24\", \"bbox\": [78, 129, 93, 139]}, {\"cell\": \"0.13\", \"bbox\": [122, 129, 137, 139]}, {\"cell\": \"-0.14\", \"bbox\": [166, 129, 186, 139]}, {\"cell\": \"0.11\", \"bbox\": [213, 129, 228, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 129, 275, 139]}, {\"cell\": \"0.04\", \"bbox\": [306, 129, 321, 139]}, {\"cell\": \"-0.07\", \"bbox\": [357, 129, 377, 139]}, {\"cell\": \"0.06\", \"bbox\": [404, 129, 419, 139]}, {\"cell\": \"-0.12\", \"bbox\": [452, 129, 472, 139]}, {\"cell\": \"<b>Post–operative</b>\", \"bbox\": [1, 143, 54, 153]}, {\"cell\": \"LV function\", \"bbox\": [1, 157, 39, 167]}, {\"cell\": \"0.07\", \"bbox\": [78, 157, 93, 167]}, {\"cell\": \"0.10\", \"bbox\": [122, 157, 137, 167]}, {\"cell\": \"0.23\", \"bbox\": [168, 157, 183, 167]}, {\"cell\": \"-0.12\", \"bbox\": [211, 157, 230, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 157, 275, 167]}, {\"cell\": \"-0.1\", \"bbox\": [306, 157, 321, 167]}, {\"cell\": \"-0.08\", \"bbox\": [357, 157, 377, 167]}, {\"cell\": \"-0.14\", \"bbox\": [402, 157, 421, 167]}, {\"cell\": \"-0.06\", \"bbox\": [452, 157, 472, 167]}, {\"cell\": \"NYHA class\", \"bbox\": [1, 171, 38, 181]}, {\"cell\": \"0.03\", \"bbox\": [78, 171, 93, 181]}, {\"cell\": \"-0.24\", \"bbox\": [120, 171, 140, 181]}, {\"cell\": \"<b>0.28</b><sup><b>*</b></sup>\", \"bbox\": [166, 169, 185, 181]}, {\"cell\": \"0.15\", \"bbox\": [213, 171, 228, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [256, 171, 275, 181]}, {\"cell\": \"-0.15\", \"bbox\": [304, 171, 323, 181]}, {\"cell\": \"0.15\", \"bbox\": [359, 171, 374, 181]}, {\"cell\": \"0.20\", \"bbox\": [404, 171, 419, 181]}, {\"cell\": \"<b>0.51</b><sup><b>**</b></sup>\", \"bbox\": [451, 169, 473, 181]}, {\"cell\": \"Leg edema\", \"bbox\": [1, 185, 39, 195]}, {\"cell\": \"-0.02\", \"bbox\": [76, 185, 96, 195]}, {\"cell\": \"-0.13\", \"bbox\": [120, 185, 140, 195]}, {\"cell\": \"0.02\", \"bbox\": [168, 185, 183, 195]}, {\"cell\": \"0.05\", \"bbox\": [213, 185, 228, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 185, 273, 195]}, {\"cell\": \"-0.21\", \"bbox\": [304, 185, 323, 195]}, {\"cell\": \"0.03\", \"bbox\": [359, 185, 374, 195]}, {\"cell\": \"0.07\", \"bbox\": [404, 185, 419, 195]}, {\"cell\": \"<b>0.38</b><sup><b>**</b></sup>\", \"bbox\": [451, 183, 473, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4075977_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}396{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Context</b></td><td><b>British Columbia (BC)<sup>1</sup></b></td><td><b>Ontario (ON)<sup>2</sup></b></td></tr></thead><tbody><tr><td>Public health structure</td><td>[EMPTY_CELL]</td><td>Public health is delivered by thirty-six individual public health unitseach with a board of health responsible for local programmes and service delivery within the larger health care system.</td></tr><tr><td>Governance</td><td>[EMPTY_CELL]</td><td>Provincial government and municipal governments.</td></tr><tr><td>Funding</td><td>[EMPTY_CELL]</td><td>Provincial and municipal funding.</td></tr><tr><td>Provincial core policy</td><td>[EMPTY_CELL]</td><td>Ontario public health standards with one foundational standard and 14 standards implementation of which is guided by protocols and guidelines.</td></tr><tr><td>Provincial public health agencies</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Ontario agency for health protection and promotion (later renamed Public Health Ontario).</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Context</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>British Columbia (BC)<sup>1</sup></b>\", \"bbox\": [59, 2, 138, 13]}, {\"cell\": \"<b>Ontario (ON)<sup>2</sup></b>\", \"bbox\": [251, 2, 301, 13]}, {\"cell\": \"Public health structure\", \"bbox\": [1, 17, 44, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 17, 247, 45]}, {\"cell\": \"Public health is delivered by thirty-six individual public health unitseach with a board of health responsible for local programmes and service delivery within the larger health care system.\", \"bbox\": [251, 17, 471, 45]}, {\"cell\": \"Governance\", \"bbox\": [0, 49, 41, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 49, 235, 59]}, {\"cell\": \"Provincial government and municipal governments.\", \"bbox\": [251, 49, 420, 59]}, {\"cell\": \"Funding\", \"bbox\": [0, 63, 29, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 63, 187, 73]}, {\"cell\": \"Provincial and municipal funding.\", \"bbox\": [251, 63, 361, 73]}, {\"cell\": \"Provincial core policy\", \"bbox\": [0, 77, 49, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 77, 235, 105]}, {\"cell\": \"Ontario public health standards with one foundational standard and 14 standards implementation of which is guided by protocols and guidelines.\", \"bbox\": [251, 77, 455, 105]}, {\"cell\": \"Provincial public health agencies\", \"bbox\": [0, 109, 55, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 132, 233, 151]}, {\"cell\": \"Ontario agency for health protection and promotion (later renamed Public Health Ontario).\", \"bbox\": [251, 132, 423, 151]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3936858_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}397{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Bacteria</b></td><td colspan=\\\"7\\\"><b>MIC (μg/mL)</b></td></tr><tr><td><b>β5k</b></td><td><b>β10k</b></td><td><b>PIP <sup>a</sup></b></td><td><b>AMP <sup>a</sup></b></td><td><b>CIP <sup>a</sup></b></td><td><b>GM <sup>a</sup></b></td><td><b>TET <sup>a</sup></b></td></tr></thead><tbody><tr><td><b>Gram(−) bacteria</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>P. aeruginosa</i> ATCC 27853</td><td>9</td><td>[EMPTY_CELL]</td><td><4</td><td><2</td><td>0.25</td><td>0.5</td><td>–</td></tr><tr><td><i>P. aeruginosa</i> BMP-Pa001</td><td><4.5</td><td>[EMPTY_CELL]</td><td>>128</td><td>>32</td><td>2</td><td>1</td><td>–</td></tr><tr><td><i>P. aeruginosa</i> BMP-Pa002</td><td><4.5</td><td>[EMPTY_CELL]</td><td>16</td><td>>32</td><td>>8</td><td>8</td><td>–</td></tr><tr><td><i>P. aeruginosa</i> BMP-Pa003</td><td><4.5</td><td>[EMPTY_CELL]</td><td>>128</td><td>>32</td><td>>8</td><td>32</td><td>–</td></tr><tr><td><i>P. aeruginosa</i> BMP-Pa004</td><td><4.5</td><td>[EMPTY_CELL]</td><td>16</td><td>>32</td><td>0.25</td><td>1</td><td>–</td></tr><tr><td><i>P. aeruginosa</i> BMP-Pa005</td><td><4.5</td><td>[EMPTY_CELL]</td><td>>128</td><td>>32</td><td>0.25</td><td>8</td><td>–</td></tr><tr><td><b>Gram(+) bacteria</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>S. aureus</i> ATCC 25923</td><td>18</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>0.25</td><td>0.25</td><td>0.5</td></tr><tr><td><i>S. aureus</i> BMP-Sa001</td><td><4.5</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>1</td><td>0.25</td><td>>16</td></tr><tr><td><i>S. aureus</i> BMP-Sa002</td><td>39</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>>8</td><td>>16</td><td>1</td></tr><tr><td><i>S. aureus</i> BMP-Sa003</td><td>39</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>>8</td><td>>16</td><td>>16</td></tr><tr><td><i>S. aureus</i> BMP-Sa004</td><td>18</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>>8</td><td>>16</td><td>>16</td></tr><tr><td><i>S. aureus</i> BMP-Sa005</td><td>39</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>>8</td><td>>16</td><td>>16</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Bacteria</b>\", \"bbox\": [52, 14, 93, 26]}, {\"cell\": \"<b>MIC (μg/mL)</b>\", \"bbox\": [266, 2, 332, 19]}, {\"cell\": \"<b>β5k</b>\", \"bbox\": [155, 19, 174, 35]}, {\"cell\": \"<b>β10k</b>\", \"bbox\": [198, 19, 223, 35]}, {\"cell\": \"<b>PIP <sup>a</sup></b>\", \"bbox\": [244, 21, 269, 34]}, {\"cell\": \"<b>AMP <sup>a</sup></b>\", \"bbox\": [283, 21, 315, 34]}, {\"cell\": \"<b>CIP <sup>a</sup></b>\", \"bbox\": [332, 21, 358, 34]}, {\"cell\": \"<b>GM <sup>a</sup></b>\", \"bbox\": [378, 21, 405, 34]}, {\"cell\": \"<b>TET <sup>a</sup></b>\", \"bbox\": [418, 21, 449, 34]}, {\"cell\": \"<b>Gram(−) bacteria</b>\", \"bbox\": [30, 34, 115, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>P. aeruginosa</i> ATCC 27853\", \"bbox\": [11, 53, 134, 65]}, {\"cell\": \"9\", \"bbox\": [161, 53, 168, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 53, 214, 65]}, {\"cell\": \"<4\", \"bbox\": [250, 53, 263, 65]}, {\"cell\": \"<2\", \"bbox\": [292, 53, 306, 65]}, {\"cell\": \"0.25\", \"bbox\": [335, 53, 356, 65]}, {\"cell\": \"0.5\", \"bbox\": [383, 53, 399, 65]}, {\"cell\": \"–\", \"bbox\": [430, 53, 437, 65]}, {\"cell\": \"<i>P. aeruginosa</i> BMP-Pa001\", \"bbox\": [13, 68, 132, 80]}, {\"cell\": \"<4.5\", \"bbox\": [153, 68, 175, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 68, 222, 80]}, {\"cell\": \">128\", \"bbox\": [244, 68, 269, 80]}, {\"cell\": \">32\", \"bbox\": [289, 68, 309, 80]}, {\"cell\": \"2\", \"bbox\": [342, 68, 349, 80]}, {\"cell\": \"1\", \"bbox\": [388, 68, 395, 80]}, {\"cell\": \"–\", \"bbox\": [430, 68, 437, 80]}, {\"cell\": \"<i>P. aeruginosa</i> BMP-Pa002\", \"bbox\": [13, 83, 132, 95]}, {\"cell\": \"<4.5\", \"bbox\": [153, 83, 175, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 83, 222, 95]}, {\"cell\": \"16\", \"bbox\": [250, 83, 263, 95]}, {\"cell\": \">32\", \"bbox\": [289, 83, 309, 95]}, {\"cell\": \">8\", \"bbox\": [338, 83, 352, 95]}, {\"cell\": \"8\", \"bbox\": [388, 83, 395, 95]}, {\"cell\": \"–\", \"bbox\": [430, 83, 437, 95]}, {\"cell\": \"<i>P. aeruginosa</i> BMP-Pa003\", \"bbox\": [13, 98, 132, 110]}, {\"cell\": \"<4.5\", \"bbox\": [153, 98, 175, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 98, 222, 110]}, {\"cell\": \">128\", \"bbox\": [244, 98, 269, 110]}, {\"cell\": \">32\", \"bbox\": [289, 98, 309, 110]}, {\"cell\": \">8\", \"bbox\": [338, 98, 352, 110]}, {\"cell\": \"32\", \"bbox\": [385, 98, 398, 110]}, {\"cell\": \"–\", \"bbox\": [430, 98, 437, 110]}, {\"cell\": \"<i>P. aeruginosa</i> BMP-Pa004\", \"bbox\": [13, 113, 132, 125]}, {\"cell\": \"<4.5\", \"bbox\": [153, 113, 175, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 113, 222, 125]}, {\"cell\": \"16\", \"bbox\": [250, 113, 263, 125]}, {\"cell\": \">32\", \"bbox\": [289, 113, 309, 125]}, {\"cell\": \"0.25\", \"bbox\": [335, 113, 356, 125]}, {\"cell\": \"1\", \"bbox\": [388, 113, 395, 125]}, {\"cell\": \"–\", \"bbox\": [430, 113, 437, 125]}, {\"cell\": \"<i>P. aeruginosa</i> BMP-Pa005\", \"bbox\": [13, 128, 132, 140]}, {\"cell\": \"<4.5\", \"bbox\": [153, 128, 175, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 128, 222, 140]}, {\"cell\": \">128\", \"bbox\": [244, 128, 269, 140]}, {\"cell\": \">32\", \"bbox\": [289, 128, 309, 140]}, {\"cell\": \"0.25\", \"bbox\": [335, 128, 356, 140]}, {\"cell\": \"8\", \"bbox\": [388, 128, 395, 140]}, {\"cell\": \"–\", \"bbox\": [430, 128, 437, 140]}, {\"cell\": \"<b>Gram(+) bacteria</b>\", \"bbox\": [30, 144, 115, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>S. aureus</i> ATCC 25923\", \"bbox\": [21, 158, 125, 170]}, {\"cell\": \"18\", \"bbox\": [158, 158, 171, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 158, 214, 170]}, {\"cell\": \"–\", \"bbox\": [253, 158, 260, 170]}, {\"cell\": \"–\", \"bbox\": [295, 158, 303, 170]}, {\"cell\": \"0.25\", \"bbox\": [335, 158, 356, 170]}, {\"cell\": \"0.25\", \"bbox\": [381, 158, 402, 170]}, {\"cell\": \"0.5\", \"bbox\": [426, 158, 441, 170]}, {\"cell\": \"<i>S. aureus</i> BMP-Sa001\", \"bbox\": [23, 173, 123, 185]}, {\"cell\": \"<4.5\", \"bbox\": [153, 173, 175, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 173, 222, 185]}, {\"cell\": \"–\", \"bbox\": [253, 173, 260, 185]}, {\"cell\": \"–\", \"bbox\": [295, 173, 303, 185]}, {\"cell\": \"1\", \"bbox\": [341, 173, 349, 185]}, {\"cell\": \"0.25\", \"bbox\": [381, 173, 402, 185]}, {\"cell\": \">16\", \"bbox\": [424, 173, 443, 185]}, {\"cell\": \"<i>S. aureus</i> BMP-Sa002\", \"bbox\": [23, 188, 123, 200]}, {\"cell\": \"39\", \"bbox\": [158, 188, 171, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 188, 217, 200]}, {\"cell\": \"–\", \"bbox\": [253, 188, 260, 200]}, {\"cell\": \"–\", \"bbox\": [295, 188, 303, 200]}, {\"cell\": \">8\", \"bbox\": [338, 188, 352, 200]}, {\"cell\": \">16\", \"bbox\": [382, 188, 401, 200]}, {\"cell\": \"1\", \"bbox\": [430, 188, 437, 200]}, {\"cell\": \"<i>S. aureus</i> BMP-Sa003\", \"bbox\": [23, 203, 123, 215]}, {\"cell\": \"39\", \"bbox\": [158, 203, 171, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 203, 217, 215]}, {\"cell\": \"–\", \"bbox\": [253, 203, 260, 215]}, {\"cell\": \"–\", \"bbox\": [295, 203, 303, 215]}, {\"cell\": \">8\", \"bbox\": [338, 203, 352, 215]}, {\"cell\": \">16\", \"bbox\": [382, 203, 401, 215]}, {\"cell\": \">16\", \"bbox\": [424, 203, 443, 215]}, {\"cell\": \"<i>S. aureus</i> BMP-Sa004\", \"bbox\": [23, 218, 123, 230]}, {\"cell\": \"18\", \"bbox\": [158, 218, 171, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 218, 214, 230]}, {\"cell\": \"–\", \"bbox\": [253, 218, 260, 230]}, {\"cell\": \"–\", \"bbox\": [295, 218, 303, 230]}, {\"cell\": \">8\", \"bbox\": [338, 218, 352, 230]}, {\"cell\": \">16\", \"bbox\": [382, 218, 401, 230]}, {\"cell\": \">16\", \"bbox\": [424, 218, 443, 230]}, {\"cell\": \"<i>S. aureus</i> BMP-Sa005\", \"bbox\": [23, 233, 123, 245]}, {\"cell\": \"39\", \"bbox\": [158, 233, 171, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 233, 217, 245]}, {\"cell\": \"–\", \"bbox\": [253, 233, 260, 245]}, {\"cell\": \"–\", \"bbox\": [295, 233, 303, 245]}, {\"cell\": \">8\", \"bbox\": [338, 233, 352, 245]}, {\"cell\": \">16\", \"bbox\": [382, 233, 401, 245]}, {\"cell\": \">16\", \"bbox\": [424, 233, 443, 245]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4425063_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}398{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Vaccines</b></td><td colspan=\\\"2\\\"><b>Rural <i>n</i> = 3276</b></td><td colspan=\\\"2\\\"><b>Urban <i>n</i> = 1894</b></td><td colspan=\\\"2\\\"><b>Total <i>N</i> = 5170</b></td></tr><tr><td><b><i>n</i></b></td><td><b>%</b></td><td><b><i>n</i></b></td><td><b>%</b></td><td><b><i>N</i></b></td><td><b>%</b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\"><b>BCG</b></td></tr><tr><td>No</td><td>1988</td><td>61</td><td>620</td><td>33</td><td>[EMPTY_CELL]</td><td>50</td></tr><tr><td>Yes</td><td>1288</td><td>39</td><td>1274</td><td>67</td><td>[EMPTY_CELL]</td><td>50</td></tr><tr><td colspan=\\\"7\\\"><b>DPT 1</b></td></tr><tr><td>No</td><td>2204</td><td>67</td><td>816</td><td>43</td><td>[EMPTY_CELL]</td><td>58</td></tr><tr><td>Yes</td><td>1072</td><td>33</td><td>1078</td><td>57</td><td>[EMPTY_CELL]</td><td>42</td></tr><tr><td colspan=\\\"7\\\"><b>OPV 1</b></td></tr><tr><td>No</td><td>1209</td><td>37</td><td>544</td><td>29</td><td>[EMPTY_CELL]</td><td>34</td></tr><tr><td>Yes</td><td>2067</td><td>63</td><td>1350</td><td>71</td><td>[EMPTY_CELL]</td><td>66</td></tr><tr><td colspan=\\\"7\\\"><b>DPT 2</b></td></tr><tr><td>No</td><td>2448</td><td>75</td><td>998</td><td>53</td><td>[EMPTY_CELL]</td><td>67</td></tr><tr><td>Yes</td><td>828</td><td>25</td><td>896</td><td>47</td><td>[EMPTY_CELL]</td><td>33</td></tr><tr><td colspan=\\\"7\\\"><b>OPV 2</b></td></tr><tr><td>No</td><td>1575</td><td>48</td><td>755</td><td>40</td><td>[EMPTY_CELL]</td><td>45</td></tr><tr><td>Yes</td><td>1701</td><td>52</td><td>1139</td><td>60</td><td>[EMPTY_CELL]</td><td>55</td></tr><tr><td colspan=\\\"7\\\"><b>DPT 3</b></td></tr><tr><td>No</td><td>2744</td><td>84</td><td>1210</td><td>64</td><td>[EMPTY_CELL]</td><td>76</td></tr><tr><td>Yes</td><td>532</td><td>16</td><td>684</td><td>36</td><td>[EMPTY_CELL]</td><td>24</td></tr><tr><td colspan=\\\"7\\\"><b>OPV 3</b></td></tr><tr><td>No</td><td>1888</td><td>58</td><td>872</td><td>46</td><td>[EMPTY_CELL]</td><td>53</td></tr><tr><td>Yes</td><td>1388</td><td>42</td><td>1022</td><td>54</td><td>[EMPTY_CELL]</td><td>47</td></tr><tr><td colspan=\\\"7\\\"><b>Measles</b></td></tr><tr><td>No</td><td>2358</td><td>72</td><td>996</td><td>53</td><td>[EMPTY_CELL]</td><td>65</td></tr><tr><td>Yes</td><td>918</td><td>28</td><td>898</td><td>47</td><td>[EMPTY_CELL]</td><td>35</td></tr><tr><td colspan=\\\"7\\\"><b>Full immunisation</b></td></tr><tr><td>No</td><td>2980</td><td>91</td><td>1253</td><td>66</td><td>[EMPTY_CELL]</td><td>82</td></tr><tr><td>Yes</td><td>296</td><td>9</td><td>641</td><td>34</td><td>[EMPTY_CELL]</td><td>18</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Vaccines</b>\", \"bbox\": [1, 2, 27, 12]}, {\"cell\": \"<b>Rural <i>n</i> = 3276</b>\", \"bbox\": [38, 2, 82, 12]}, {\"cell\": \"<b>Urban <i>n</i> = 1894</b>\", \"bbox\": [104, 2, 150, 12]}, {\"cell\": \"<b>Total <i>N</i> = 5170</b>\", \"bbox\": [181, 2, 225, 12]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [45, 14, 50, 21]}, {\"cell\": \"<b>%</b>\", \"bbox\": [73, 14, 82, 21]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [112, 14, 118, 21]}, {\"cell\": \"<b>%</b>\", \"bbox\": [139, 14, 148, 21]}, {\"cell\": \"<b><i>N</i></b>\", \"bbox\": [180, 14, 187, 21]}, {\"cell\": \"<b>%</b>\", \"bbox\": [218, 14, 227, 21]}, {\"cell\": \"<b>BCG</b>\", \"bbox\": [1, 26, 15, 33]}, {\"cell\": \"No\", \"bbox\": [1, 35, 11, 45]}, {\"cell\": \"1988\", \"bbox\": [39, 37, 56, 43]}, {\"cell\": \"61\", \"bbox\": [73, 35, 82, 45]}, {\"cell\": \"620\", \"bbox\": [109, 35, 122, 45]}, {\"cell\": \"33\", \"bbox\": [139, 37, 148, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 35, 192, 45]}, {\"cell\": \"50\", \"bbox\": [218, 37, 227, 43]}, {\"cell\": \"Yes\", \"bbox\": [1, 48, 12, 54]}, {\"cell\": \"1288\", \"bbox\": [39, 48, 56, 54]}, {\"cell\": \"39\", \"bbox\": [73, 48, 82, 54]}, {\"cell\": \"1274\", \"bbox\": [107, 46, 124, 56]}, {\"cell\": \"67\", \"bbox\": [139, 46, 148, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 46, 192, 56]}, {\"cell\": \"50\", \"bbox\": [218, 48, 227, 54]}, {\"cell\": \"<b>DPT 1</b>\", \"bbox\": [1, 57, 19, 67]}, {\"cell\": \"No\", \"bbox\": [1, 67, 11, 77]}, {\"cell\": \"2204\", \"bbox\": [39, 70, 56, 76]}, {\"cell\": \"67\", \"bbox\": [73, 67, 82, 77]}, {\"cell\": \"816\", \"bbox\": [109, 67, 122, 77]}, {\"cell\": \"43\", \"bbox\": [139, 70, 148, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 70, 192, 76]}, {\"cell\": \"58\", \"bbox\": [218, 70, 227, 76]}, {\"cell\": \"Yes\", \"bbox\": [1, 81, 12, 87]}, {\"cell\": \"1072\", \"bbox\": [39, 78, 56, 88]}, {\"cell\": \"33\", \"bbox\": [73, 81, 82, 87]}, {\"cell\": \"1078\", \"bbox\": [107, 78, 124, 88]}, {\"cell\": \"57\", \"bbox\": [139, 78, 148, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 81, 192, 87]}, {\"cell\": \"42\", \"bbox\": [218, 81, 227, 87]}, {\"cell\": \"<b>OPV 1</b>\", \"bbox\": [1, 89, 20, 99]}, {\"cell\": \"No\", \"bbox\": [1, 100, 11, 110]}, {\"cell\": \"1209\", \"bbox\": [39, 102, 56, 109]}, {\"cell\": \"37\", \"bbox\": [73, 100, 82, 110]}, {\"cell\": \"544\", \"bbox\": [109, 102, 122, 109]}, {\"cell\": \"29\", \"bbox\": [139, 102, 148, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 100, 192, 110]}, {\"cell\": \"34\", \"bbox\": [218, 102, 227, 109]}, {\"cell\": \"Yes\", \"bbox\": [1, 113, 12, 120]}, {\"cell\": \"2067\", \"bbox\": [39, 111, 56, 121]}, {\"cell\": \"63\", \"bbox\": [73, 111, 82, 121]}, {\"cell\": \"1350\", \"bbox\": [107, 113, 124, 120]}, {\"cell\": \"71\", \"bbox\": [139, 111, 148, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 111, 192, 121]}, {\"cell\": \"66\", \"bbox\": [218, 111, 227, 121]}, {\"cell\": \"<b>DPT 2</b>\", \"bbox\": [1, 122, 19, 132]}, {\"cell\": \"No\", \"bbox\": [1, 133, 11, 143]}, {\"cell\": \"2448\", \"bbox\": [39, 135, 56, 142]}, {\"cell\": \"75\", \"bbox\": [73, 133, 82, 143]}, {\"cell\": \"998\", \"bbox\": [109, 135, 122, 142]}, {\"cell\": \"53\", \"bbox\": [139, 135, 148, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 133, 192, 143]}, {\"cell\": \"67\", \"bbox\": [218, 133, 227, 143]}, {\"cell\": \"Yes\", \"bbox\": [1, 146, 12, 153]}, {\"cell\": \"828\", \"bbox\": [41, 146, 54, 153]}, {\"cell\": \"25\", \"bbox\": [73, 146, 82, 153]}, {\"cell\": \"896\", \"bbox\": [109, 144, 122, 154]}, {\"cell\": \"47\", \"bbox\": [139, 144, 148, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 144, 192, 154]}, {\"cell\": \"33\", \"bbox\": [218, 146, 227, 153]}, {\"cell\": \"<b>OPV 2</b>\", \"bbox\": [1, 155, 20, 165]}, {\"cell\": \"No\", \"bbox\": [1, 166, 11, 176]}, {\"cell\": \"1575\", \"bbox\": [39, 166, 56, 176]}, {\"cell\": \"48\", \"bbox\": [73, 168, 82, 174]}, {\"cell\": \"755\", \"bbox\": [109, 166, 122, 176]}, {\"cell\": \"40\", \"bbox\": [139, 168, 148, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 168, 192, 174]}, {\"cell\": \"45\", \"bbox\": [218, 168, 227, 174]}, {\"cell\": \"Yes\", \"bbox\": [1, 179, 12, 185]}, {\"cell\": \"1701\", \"bbox\": [39, 177, 56, 187]}, {\"cell\": \"52\", \"bbox\": [73, 179, 82, 185]}, {\"cell\": \"1139\", \"bbox\": [107, 179, 124, 185]}, {\"cell\": \"60\", \"bbox\": [139, 177, 148, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 179, 192, 185]}, {\"cell\": \"55\", \"bbox\": [218, 179, 227, 185]}, {\"cell\": \"<b>DPT 3</b>\", \"bbox\": [1, 189, 19, 196]}, {\"cell\": \"No\", \"bbox\": [1, 198, 11, 208]}, {\"cell\": \"2744\", \"bbox\": [39, 198, 56, 208]}, {\"cell\": \"84\", \"bbox\": [73, 201, 82, 207]}, {\"cell\": \"1210\", \"bbox\": [107, 201, 124, 207]}, {\"cell\": \"64\", \"bbox\": [139, 198, 148, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 201, 192, 207]}, {\"cell\": \"76\", \"bbox\": [218, 198, 227, 208]}, {\"cell\": \"Yes\", \"bbox\": [1, 212, 12, 218]}, {\"cell\": \"532\", \"bbox\": [41, 212, 54, 218]}, {\"cell\": \"16\", \"bbox\": [73, 209, 82, 219]}, {\"cell\": \"684\", \"bbox\": [109, 209, 122, 219]}, {\"cell\": \"36\", \"bbox\": [139, 209, 148, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 209, 192, 219]}, {\"cell\": \"24\", \"bbox\": [218, 212, 227, 218]}, {\"cell\": \"<b>OPV 3</b>\", \"bbox\": [1, 222, 20, 229]}, {\"cell\": \"No\", \"bbox\": [1, 231, 11, 241]}, {\"cell\": \"1888\", \"bbox\": [39, 233, 56, 240]}, {\"cell\": \"58\", \"bbox\": [73, 233, 82, 240]}, {\"cell\": \"872\", \"bbox\": [109, 231, 122, 241]}, {\"cell\": \"46\", \"bbox\": [139, 231, 148, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 231, 192, 241]}, {\"cell\": \"53\", \"bbox\": [218, 233, 227, 240]}, {\"cell\": \"Yes\", \"bbox\": [1, 244, 12, 251]}, {\"cell\": \"1388\", \"bbox\": [39, 244, 56, 251]}, {\"cell\": \"42\", \"bbox\": [73, 244, 82, 251]}, {\"cell\": \"1022\", \"bbox\": [107, 244, 124, 251]}, {\"cell\": \"54\", \"bbox\": [139, 244, 148, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 244, 192, 251]}, {\"cell\": \"47\", \"bbox\": [218, 242, 227, 252]}, {\"cell\": \"<b>Measles</b>\", \"bbox\": [1, 253, 26, 263]}, {\"cell\": \"No\", \"bbox\": [1, 264, 11, 274]}, {\"cell\": \"2358\", \"bbox\": [39, 266, 56, 273]}, {\"cell\": \"72\", \"bbox\": [73, 264, 82, 274]}, {\"cell\": \"996\", \"bbox\": [109, 264, 122, 274]}, {\"cell\": \"53\", \"bbox\": [139, 266, 148, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 266, 192, 273]}, {\"cell\": \"65\", \"bbox\": [218, 264, 227, 274]}, {\"cell\": \"Yes\", \"bbox\": [1, 277, 12, 284]}, {\"cell\": \"918\", \"bbox\": [41, 277, 54, 284]}, {\"cell\": \"28\", \"bbox\": [73, 277, 82, 284]}, {\"cell\": \"898\", \"bbox\": [109, 277, 122, 284]}, {\"cell\": \"47\", \"bbox\": [139, 275, 148, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 275, 192, 285]}, {\"cell\": \"35\", \"bbox\": [218, 277, 227, 284]}, {\"cell\": \"<b>Full immunisation</b>\", \"bbox\": [1, 286, 55, 296]}, {\"cell\": \"No\", \"bbox\": [1, 297, 11, 307]}, {\"cell\": \"2980\", \"bbox\": [39, 299, 56, 305]}, {\"cell\": \"91\", \"bbox\": [73, 299, 82, 305]}, {\"cell\": \"1253\", \"bbox\": [107, 299, 124, 305]}, {\"cell\": \"66\", \"bbox\": [139, 297, 148, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 299, 192, 305]}, {\"cell\": \"82\", \"bbox\": [218, 299, 227, 305]}, {\"cell\": \"Yes\", \"bbox\": [1, 310, 12, 316]}, {\"cell\": \"296\", \"bbox\": [41, 308, 54, 318]}, {\"cell\": \"9\", \"bbox\": [75, 310, 81, 316]}, {\"cell\": \"641\", \"bbox\": [109, 308, 122, 318]}, {\"cell\": \"34\", \"bbox\": [139, 310, 148, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 308, 190, 318]}, {\"cell\": \"18\", \"bbox\": [218, 310, 227, 316]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4565435_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}399{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Outcome Variable</b></td><td colspan=\\\"6\\\"><b>Predictor Variable</b></td><td rowspan=\\\"3\\\"><b>R2</b></td></tr><tr><td><b>Hinders or Stimulates</b></td><td><b>Noise</b></td><td><b>Flow of Motor Vehicles</b></td><td><b>Bicycle Paths/Lanes/Roads</b></td><td><b>Greenery</b></td><td><b>Ugly or Beautiful</b></td><td><b>Course of the Route</b></td></tr><tr><td><b>y-Intercept (<i>p</i>-Value)</b></td><td colspan=\\\"6\\\"><b>Regression Coefficient: Standardized Beta (<i>p</i>-Value)</b></td></tr></thead><tbody><tr><td>6.72 (0.000)</td><td>−0.10 (0.005)</td><td>−0.11 (0.001)</td><td>0.09 (0.000)</td><td>0.17 (0.000)</td><td>0.37 (0.000)</td><td>−0.13 (0.000)</td><td>[EMPTY_CELL]</td></tr><tr><td>6.47 (0.000)</td><td>-</td><td>−0.17 (0.000)</td><td>0.08 (0.001)</td><td>0.17 (0.000)</td><td>0.38 (0.000)</td><td>−0.14 (0.000)</td><td>[EMPTY_CELL]</td></tr><tr><td>6.39 (0.000)</td><td>−0.17 (0.000)</td><td>-</td><td>0.09 (0.000) </td><td>0.18 (0.000)</td><td>0.38 (0.000)</td><td>−0.13 (0.000)</td><td>[EMPTY_CELL]</td></tr><tr><td>7.28 (0.000)</td><td>−0.11 (0.002)</td><td>−0.12 (0.000)</td><td>0.10 (0.000)</td><td>-</td><td>0.49 (0.000)</td><td>−0.14 (0.000)</td><td>[EMPTY_CELL]</td></tr><tr><td>8.36 (0.000)</td><td>−0.12 (0.001)</td><td>−0.12 (0.000)</td><td>0.06 (0.011)</td><td>0.42 (0.000)</td><td>-</td><td>−0.14 (0.000)</td><td>[EMPTY_CELL]</td></tr><tr><td>7.03 (0.000)</td><td>-</td><td>−0.19 (0.000)</td><td>0.09 (0.000)</td><td>-</td><td>0.50 (0.000)</td><td>−0.15 (0.000)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Outcome Variable</b>\", \"bbox\": [5, 5, 43, 26]}, {\"cell\": \"<b>Predictor Variable</b>\", \"bbox\": [208, 10, 286, 20]}, {\"cell\": \"<b>R2</b>\", \"bbox\": [445, 38, 457, 48]}, {\"cell\": \"<b>Hinders or Stimulates</b>\", \"bbox\": [1, 32, 47, 53]}, {\"cell\": \"<b>Noise</b>\", \"bbox\": [69, 38, 94, 48]}, {\"cell\": \"<b>Flow of Motor Vehicles</b>\", \"bbox\": [119, 27, 155, 59]}, {\"cell\": \"<b>Bicycle Paths/Lanes/Roads</b>\", \"bbox\": [179, 32, 258, 53]}, {\"cell\": \"<b>Greenery</b>\", \"bbox\": [273, 38, 314, 48]}, {\"cell\": \"<b>Ugly or Beautiful</b>\", \"bbox\": [329, 32, 368, 53]}, {\"cell\": \"<b>Course of the Route</b>\", \"bbox\": [386, 32, 427, 53]}, {\"cell\": \"<b>y-Intercept (<i>p</i>-Value)</b>\", \"bbox\": [1, 60, 47, 81]}, {\"cell\": \"<b>Regression Coefficient: Standardized Beta (<i>p</i>-Value)</b>\", \"bbox\": [141, 65, 353, 75]}, {\"cell\": \"6.72 (0.000)\", \"bbox\": [9, 82, 39, 103]}, {\"cell\": \"−0.10 (0.005)\", \"bbox\": [67, 79, 96, 103]}, {\"cell\": \"−0.11 (0.001)\", \"bbox\": [122, 79, 152, 103]}, {\"cell\": \"0.09 (0.000)\", \"bbox\": [204, 82, 234, 103]}, {\"cell\": \"0.17 (0.000)\", \"bbox\": [279, 82, 308, 103]}, {\"cell\": \"0.37 (0.000)\", \"bbox\": [334, 82, 363, 103]}, {\"cell\": \"−0.13 (0.000)\", \"bbox\": [392, 79, 421, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 87, 463, 97]}, {\"cell\": \"6.47 (0.000)\", \"bbox\": [9, 104, 39, 125]}, {\"cell\": \"-\", \"bbox\": [79, 109, 84, 120]}, {\"cell\": \"−0.17 (0.000)\", \"bbox\": [122, 101, 152, 125]}, {\"cell\": \"0.08 (0.001)\", \"bbox\": [204, 104, 234, 125]}, {\"cell\": \"0.17 (0.000)\", \"bbox\": [279, 104, 308, 125]}, {\"cell\": \"0.38 (0.000)\", \"bbox\": [334, 104, 363, 125]}, {\"cell\": \"−0.14 (0.000)\", \"bbox\": [392, 101, 421, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 109, 463, 120]}, {\"cell\": \"6.39 (0.000)\", \"bbox\": [9, 126, 39, 147]}, {\"cell\": \"−0.17 (0.000)\", \"bbox\": [67, 123, 96, 147]}, {\"cell\": \"-\", \"bbox\": [135, 131, 140, 142]}, {\"cell\": \"0.09 (0.000) \", \"bbox\": [204, 126, 234, 147]}, {\"cell\": \"0.18 (0.000)\", \"bbox\": [279, 126, 308, 147]}, {\"cell\": \"0.38 (0.000)\", \"bbox\": [334, 126, 363, 147]}, {\"cell\": \"−0.13 (0.000)\", \"bbox\": [392, 123, 421, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 131, 463, 142]}, {\"cell\": \"7.28 (0.000)\", \"bbox\": [9, 148, 39, 169]}, {\"cell\": \"−0.11 (0.002)\", \"bbox\": [67, 145, 96, 169]}, {\"cell\": \"−0.12 (0.000)\", \"bbox\": [122, 145, 152, 169]}, {\"cell\": \"0.10 (0.000)\", \"bbox\": [204, 148, 234, 169]}, {\"cell\": \"-\", \"bbox\": [291, 153, 296, 164]}, {\"cell\": \"0.49 (0.000)\", \"bbox\": [334, 148, 363, 169]}, {\"cell\": \"−0.14 (0.000)\", \"bbox\": [392, 145, 421, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 153, 463, 164]}, {\"cell\": \"8.36 (0.000)\", \"bbox\": [9, 170, 39, 191]}, {\"cell\": \"−0.12 (0.001)\", \"bbox\": [67, 167, 96, 191]}, {\"cell\": \"−0.12 (0.000)\", \"bbox\": [122, 167, 152, 191]}, {\"cell\": \"0.06 (0.011)\", \"bbox\": [204, 170, 234, 191]}, {\"cell\": \"0.42 (0.000)\", \"bbox\": [279, 170, 308, 191]}, {\"cell\": \"-\", \"bbox\": [346, 175, 351, 186]}, {\"cell\": \"−0.14 (0.000)\", \"bbox\": [392, 167, 421, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 175, 463, 186]}, {\"cell\": \"7.03 (0.000)\", \"bbox\": [9, 192, 39, 213]}, {\"cell\": \"-\", \"bbox\": [79, 197, 84, 208]}, {\"cell\": \"−0.19 (0.000)\", \"bbox\": [122, 189, 152, 213]}, {\"cell\": \"0.09 (0.000)\", \"bbox\": [204, 192, 234, 213]}, {\"cell\": \"-\", \"bbox\": [291, 197, 296, 208]}, {\"cell\": \"0.50 (0.000)\", \"bbox\": [334, 192, 363, 213]}, {\"cell\": \"−0.15 (0.000)\", \"bbox\": [392, 189, 421, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 197, 463, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4143862_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}400{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Attribute</b></td><td colspan=\\\"3\\\"><b>Proportion (95% Confidence Interval)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Overall(n = 12,955)</b></td><td><b>Current Smokers*(n = 2,262)</b></td><td><b>Non-current Smokers(n = 10,693)</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\"><b>Environmental Tobacco Smoke</b></td></tr><tr><td>Have one or more parents who smoke</td><td>53.5 (52.6, 54.5)</td><td>67.5 (65.0, 70.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Exposed to smoke in their home</td><td>84.6 (83.8, 85.5)</td><td>93.9 (92.9, 94.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Around others who smoke in places outside home</td><td>91.2 (90.6, 91.8)</td><td>95.6 (94.7, 96.6)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\"><b>Attitude towards second-hand smoking</b></td></tr><tr><td>Think smoke from others is harmful to them</td><td>70.4 (69.0, 71.7)</td><td>47.8 (44.4, 51.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Think smoking should be banned from public places</td><td>81.7 (80.6, 82.8)</td><td>44.8 (42.3, 47.3)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\"><b>Media and Advertising</b></td></tr><tr><td>Own an object with a cigarette brand logo</td><td>16.5 (15.3, 17.6)</td><td>35.0 (32.7, 37.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Offered free cigarettes by a tobacco company representative</td><td>16.1 (15.1, 17.2)</td><td>26.0 (23.6, 28.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>Saw anti-smoking ads in newspapers/magazines</td><td>48.2 (46.7, 49.7)</td><td>42.6 (40.3, 45.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Saw pro-cigarette ads in newspapers/magazines</td><td>62.4 (61.1, 63.7)</td><td>63.3 (60.9, 65.6)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\"><b>School</b></td></tr><tr><td>Had been taught about the dangers of smoking</td><td>46.3 (44.5, 48.2)</td><td>36.9 (33.9, 39.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Had discussed reasons why people their age smoke</td><td>42.3 (40.2, 44.4)</td><td>37.8 (33.8, 41.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Had been taught the effects of tobacco use</td><td>46.9 (45.0, 48.7)</td><td>40.3 (37.7, 42.9)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Attribute</b>\", \"bbox\": [4, 4, 37, 14]}, {\"cell\": \"<b>Proportion (95% Confidence Interval)</b>\", \"bbox\": [311, 4, 439, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Overall(n = 12,955)</b>\", \"bbox\": [264, 27, 307, 46]}, {\"cell\": \"<b>Current Smokers*(n = 2,262)</b>\", \"bbox\": [331, 27, 395, 46]}, {\"cell\": \"<b>Non-current Smokers(n = 10,693)</b>\", \"bbox\": [414, 27, 490, 46]}, {\"cell\": \"<b>Environmental Tobacco Smoke</b>\", \"bbox\": [4, 58, 128, 68]}, {\"cell\": \"Have one or more parents who smoke\", \"bbox\": [4, 80, 137, 90]}, {\"cell\": \"53.5 (52.6, 54.5)\", \"bbox\": [258, 80, 314, 90]}, {\"cell\": \"67.5 (65.0, 70.0)\", \"bbox\": [335, 80, 391, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 80, 480, 90]}, {\"cell\": \"Exposed to smoke in their home\", \"bbox\": [4, 91, 116, 100]}, {\"cell\": \"84.6 (83.8, 85.5)\", \"bbox\": [258, 91, 314, 100]}, {\"cell\": \"93.9 (92.9, 94.9)\", \"bbox\": [335, 91, 391, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 91, 480, 100]}, {\"cell\": \"Around others who smoke in places outside home\", \"bbox\": [4, 101, 176, 111]}, {\"cell\": \"91.2 (90.6, 91.8)\", \"bbox\": [258, 101, 314, 111]}, {\"cell\": \"95.6 (94.7, 96.6)\", \"bbox\": [335, 101, 391, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 101, 480, 111]}, {\"cell\": \"<b>Attitude towards second-hand smoking</b>\", \"bbox\": [4, 123, 158, 133]}, {\"cell\": \"Think smoke from others is harmful to them\", \"bbox\": [4, 145, 156, 155]}, {\"cell\": \"70.4 (69.0, 71.7)\", \"bbox\": [258, 145, 314, 155]}, {\"cell\": \"47.8 (44.4, 51.2)\", \"bbox\": [335, 145, 391, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 145, 480, 155]}, {\"cell\": \"Think smoking should be banned from public places\", \"bbox\": [4, 156, 179, 165]}, {\"cell\": \"81.7 (80.6, 82.8)\", \"bbox\": [258, 156, 314, 165]}, {\"cell\": \"44.8 (42.3, 47.3)\", \"bbox\": [335, 156, 391, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 156, 480, 165]}, {\"cell\": \"<b>Media and Advertising</b>\", \"bbox\": [4, 178, 93, 188]}, {\"cell\": \"Own an object with a cigarette brand logo\", \"bbox\": [4, 200, 149, 210]}, {\"cell\": \"16.5 (15.3, 17.6)\", \"bbox\": [258, 200, 314, 210]}, {\"cell\": \"35.0 (32.7, 37.3)\", \"bbox\": [335, 200, 391, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 200, 480, 210]}, {\"cell\": \"Offered free cigarettes by a tobacco company representative\", \"bbox\": [4, 210, 210, 220]}, {\"cell\": \"16.1 (15.1, 17.2)\", \"bbox\": [258, 210, 314, 220]}, {\"cell\": \"26.0 (23.6, 28.5)\", \"bbox\": [335, 210, 391, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 210, 480, 220]}, {\"cell\": \"Saw anti-smoking ads in newspapers/magazines\", \"bbox\": [4, 221, 163, 230]}, {\"cell\": \"48.2 (46.7, 49.7)\", \"bbox\": [258, 221, 314, 230]}, {\"cell\": \"42.6 (40.3, 45.0)\", \"bbox\": [335, 221, 391, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 221, 480, 230]}, {\"cell\": \"Saw pro-cigarette ads in newspapers/magazines\", \"bbox\": [4, 231, 164, 241]}, {\"cell\": \"62.4 (61.1, 63.7)\", \"bbox\": [258, 231, 314, 241]}, {\"cell\": \"63.3 (60.9, 65.6)\", \"bbox\": [335, 231, 391, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 231, 480, 241]}, {\"cell\": \"<b>School</b>\", \"bbox\": [4, 253, 32, 263]}, {\"cell\": \"Had been taught about the dangers of smoking\", \"bbox\": [4, 275, 163, 285]}, {\"cell\": \"46.3 (44.5, 48.2)\", \"bbox\": [258, 275, 314, 285]}, {\"cell\": \"36.9 (33.9, 39.8)\", \"bbox\": [335, 275, 391, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 275, 480, 285]}, {\"cell\": \"Had discussed reasons why people their age smoke\", \"bbox\": [4, 286, 178, 295]}, {\"cell\": \"42.3 (40.2, 44.4)\", \"bbox\": [258, 286, 314, 295]}, {\"cell\": \"37.8 (33.8, 41.8)\", \"bbox\": [335, 286, 391, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 286, 480, 295]}, {\"cell\": \"Had been taught the effects of tobacco use\", \"bbox\": [4, 296, 150, 306]}, {\"cell\": \"46.9 (45.0, 48.7)\", \"bbox\": [258, 296, 314, 306]}, {\"cell\": \"40.3 (37.7, 42.9)\", \"bbox\": [335, 296, 391, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 296, 480, 306]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2435118_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}401{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>statistics</b></td><td><b>ProMate</b></td><td><b>PPI-PRED 1<sup>st </sup>patch</b></td><td><b>PPI-PRED best patch</b></td><td><b>PatchDock 1<sup>st </sup>model</b></td><td><b>PatchDock best model of 10</b></td><td><b>ClusPro (DOT) 1<sup>st </sup>model</b></td><td><b>ClusPro (DOT) best model of 10</b></td><td><b>CEP</b></td><td><b>DiscoTope (-7.7)</b></td></tr></thead><tbody><tr><td><b>sensitivity</b></td><td>0.091</td><td>0.153</td><td>[EMPTY_CELL]</td><td>0.300</td><td>0.425</td><td>0.258</td><td>0.453</td><td>0.310</td><td>0.416</td></tr><tr><td><b>1-specificity</b></td><td>0.083</td><td>0.161</td><td>[EMPTY_CELL]</td><td>0.135</td><td>0.114</td><td>0.079</td><td>0.067</td><td>0.223</td><td>0.214</td></tr><tr><td><b>PPV</b></td><td>0.101</td><td>0.083</td><td>[EMPTY_CELL]</td><td>0.175</td><td>0.262</td><td>0.235</td><td>0.390</td><td>0.110</td><td>0.155</td></tr><tr><td><b>accuracy</b></td><td>0.841</td><td>0.780</td><td>[EMPTY_CELL]</td><td>0.816</td><td>0.846</td><td>0.863</td><td>0.892</td><td>0.739</td><td>0.754</td></tr><tr><td><b>AUC</b></td><td>0.504</td><td>0.496</td><td>[EMPTY_CELL]</td><td>0.583</td><td>0.656</td><td>0.589</td><td>0.693</td><td>0.544</td><td>0.601</td></tr><tr><td><b>P-value</b></td><td>0.27</td><td>1.0</td><td>[EMPTY_CELL]</td><td>9.0E-23</td><td><1.0E-50</td><td>7.9E-34</td><td><1.0E-50</td><td>4.3E-06</td><td>4.1E-25</td></tr><tr><td colspan=\\\"10\\\"><b>Statistics averaged over epitopes</b></td></tr><tr><td><b>sensitivity</b></td><td>0.09 ± 0.17</td><td>0.15 ± 0.24</td><td>[EMPTY_CELL]</td><td>0.27 ± 0.24</td><td>0.42 ± 0.29</td><td>0.25 ± 0.31</td><td>0.46 ± 0.28</td><td>0.34 ± 0.28</td><td>0.43 ± 0.31</td></tr><tr><td><b>1-specificity</b></td><td>0.08 ± 0.03</td><td>0.16 ± 0.07</td><td>[EMPTY_CELL]</td><td>0.15 ± 0.06</td><td>0.13 ± 0.07</td><td>0.10 ± 0.07</td><td>0.08 ± 0.05</td><td>0.28 ± 0.20</td><td>0.22 ± 0.15</td></tr><tr><td><b>PPV</b></td><td>0.11 ± 0.20</td><td>0.10 ± 0.17</td><td>[EMPTY_CELL]</td><td>0.18 ± 0.19</td><td>0.30 ± 0.25</td><td>0.25 ± 0.33</td><td>0.41 ± 0.29</td><td>0.11 ± 0.08</td><td>0.18 ± 0.12</td></tr><tr><td><b>accuracy</b></td><td>0.83 ± 0.05</td><td>0.77 ± 0.07</td><td>[EMPTY_CELL]</td><td>0.80 ± 0.08</td><td>0.83 ± 0.09</td><td>0.84 ± 0.09</td><td>0.88 ± 0.07</td><td>0.69 ± 0.17</td><td>0.74 ± 0.12</td></tr><tr><td><b>AUC</b></td><td>0.51 ± 0.09</td><td>0.50 ± 0.13</td><td>[EMPTY_CELL]</td><td>0.56 ± 0.11</td><td>0.64 ± 0.17</td><td>0.58 ± 0.17</td><td>0.69 ± 0.15</td><td>0.53 ± 0.08</td><td>0.60 ± 0.13</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>statistics</b>\", \"bbox\": [4, 5, 35, 13]}, {\"cell\": \"<b>ProMate</b>\", \"bbox\": [54, 5, 85, 13]}, {\"cell\": \"<b>PPI-PRED 1<sup>st </sup>patch</b>\", \"bbox\": [94, 5, 129, 20]}, {\"cell\": \"<b>PPI-PRED best patch</b>\", \"bbox\": [139, 5, 175, 20]}, {\"cell\": \"<b>PatchDock 1<sup>st </sup>model</b>\", \"bbox\": [183, 5, 221, 20]}, {\"cell\": \"<b>PatchDock best model of 10</b>\", \"bbox\": [230, 5, 283, 20]}, {\"cell\": \"<b>ClusPro (DOT) 1<sup>st </sup>model</b>\", \"bbox\": [293, 5, 345, 20]}, {\"cell\": \"<b>ClusPro (DOT) best model of 10</b>\", \"bbox\": [354, 5, 410, 20]}, {\"cell\": \"<b>CEP</b>\", \"bbox\": [426, 5, 442, 13]}, {\"cell\": \"<b>DiscoTope (-7.7)</b>\", \"bbox\": [459, 5, 496, 20]}, {\"cell\": \"<b>sensitivity</b>\", \"bbox\": [4, 33, 39, 41]}, {\"cell\": \"0.091\", \"bbox\": [61, 33, 78, 39]}, {\"cell\": \"0.153\", \"bbox\": [103, 33, 121, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 33, 165, 39]}, {\"cell\": \"0.300\", \"bbox\": [193, 33, 211, 39]}, {\"cell\": \"0.425\", \"bbox\": [248, 33, 266, 39]}, {\"cell\": \"0.258\", \"bbox\": [310, 33, 328, 39]}, {\"cell\": \"0.453\", \"bbox\": [373, 33, 391, 39]}, {\"cell\": \"0.310\", \"bbox\": [425, 33, 443, 39]}, {\"cell\": \"0.416\", \"bbox\": [469, 33, 487, 39]}, {\"cell\": \"<b>1-specificity</b>\", \"bbox\": [4, 42, 45, 50]}, {\"cell\": \"0.083\", \"bbox\": [61, 42, 78, 48]}, {\"cell\": \"0.161\", \"bbox\": [103, 42, 121, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 42, 165, 48]}, {\"cell\": \"0.135\", \"bbox\": [193, 42, 211, 48]}, {\"cell\": \"0.114\", \"bbox\": [248, 42, 266, 48]}, {\"cell\": \"0.079\", \"bbox\": [310, 42, 328, 48]}, {\"cell\": \"0.067\", \"bbox\": [373, 42, 391, 48]}, {\"cell\": \"0.223\", \"bbox\": [425, 42, 443, 48]}, {\"cell\": \"0.214\", \"bbox\": [469, 42, 487, 48]}, {\"cell\": \"<b>PPV</b>\", \"bbox\": [4, 51, 21, 59]}, {\"cell\": \"0.101\", \"bbox\": [61, 51, 78, 57]}, {\"cell\": \"0.083\", \"bbox\": [103, 51, 121, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 51, 165, 57]}, {\"cell\": \"0.175\", \"bbox\": [193, 51, 211, 57]}, {\"cell\": \"0.262\", \"bbox\": [248, 51, 266, 57]}, {\"cell\": \"0.235\", \"bbox\": [310, 51, 328, 57]}, {\"cell\": \"0.390\", \"bbox\": [373, 51, 391, 57]}, {\"cell\": \"0.110\", \"bbox\": [425, 51, 443, 57]}, {\"cell\": \"0.155\", \"bbox\": [469, 51, 487, 57]}, {\"cell\": \"<b>accuracy</b>\", \"bbox\": [4, 60, 35, 68]}, {\"cell\": \"0.841\", \"bbox\": [61, 60, 78, 66]}, {\"cell\": \"0.780\", \"bbox\": [103, 60, 121, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 60, 165, 66]}, {\"cell\": \"0.816\", \"bbox\": [193, 60, 211, 66]}, {\"cell\": \"0.846\", \"bbox\": [248, 60, 266, 66]}, {\"cell\": \"0.863\", \"bbox\": [310, 60, 328, 66]}, {\"cell\": \"0.892\", \"bbox\": [373, 60, 391, 66]}, {\"cell\": \"0.739\", \"bbox\": [425, 60, 443, 66]}, {\"cell\": \"0.754\", \"bbox\": [469, 60, 487, 66]}, {\"cell\": \"<b>AUC</b>\", \"bbox\": [4, 69, 23, 77]}, {\"cell\": \"0.504\", \"bbox\": [61, 69, 78, 75]}, {\"cell\": \"0.496\", \"bbox\": [103, 69, 121, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 69, 165, 75]}, {\"cell\": \"0.583\", \"bbox\": [193, 69, 211, 75]}, {\"cell\": \"0.656\", \"bbox\": [248, 69, 266, 75]}, {\"cell\": \"0.589\", \"bbox\": [310, 69, 328, 75]}, {\"cell\": \"0.693\", \"bbox\": [373, 69, 391, 75]}, {\"cell\": \"0.544\", \"bbox\": [425, 69, 443, 75]}, {\"cell\": \"0.601\", \"bbox\": [469, 69, 487, 75]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [4, 90, 30, 98]}, {\"cell\": \"0.27\", \"bbox\": [62, 90, 76, 96]}, {\"cell\": \"1.0\", \"bbox\": [107, 90, 117, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 90, 168, 96]}, {\"cell\": \"9.0E-23\", \"bbox\": [191, 90, 214, 96]}, {\"cell\": \"<1.0E-50\", \"bbox\": [243, 90, 271, 96]}, {\"cell\": \"7.9E-34\", \"bbox\": [308, 90, 331, 96]}, {\"cell\": \"<1.0E-50\", \"bbox\": [368, 90, 396, 96]}, {\"cell\": \"4.3E-06\", \"bbox\": [423, 90, 446, 96]}, {\"cell\": \"4.1E-25\", \"bbox\": [466, 90, 489, 96]}, {\"cell\": \"<b>Statistics averaged over epitopes</b>\", \"bbox\": [4, 111, 114, 119]}, {\"cell\": \"<b>sensitivity</b>\", \"bbox\": [4, 120, 39, 128]}, {\"cell\": \"0.09 ± 0.17\", \"bbox\": [52, 120, 86, 126]}, {\"cell\": \"0.15 ± 0.24\", \"bbox\": [95, 120, 129, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 120, 173, 126]}, {\"cell\": \"0.27 ± 0.24\", \"bbox\": [185, 120, 219, 126]}, {\"cell\": \"0.42 ± 0.29\", \"bbox\": [240, 120, 274, 126]}, {\"cell\": \"0.25 ± 0.31\", \"bbox\": [302, 120, 336, 126]}, {\"cell\": \"0.46 ± 0.28\", \"bbox\": [365, 120, 399, 126]}, {\"cell\": \"0.34 ± 0.28\", \"bbox\": [417, 120, 451, 126]}, {\"cell\": \"0.43 ± 0.31\", \"bbox\": [461, 120, 495, 126]}, {\"cell\": \"<b>1-specificity</b>\", \"bbox\": [4, 129, 45, 137]}, {\"cell\": \"0.08 ± 0.03\", \"bbox\": [52, 129, 86, 135]}, {\"cell\": \"0.16 ± 0.07\", \"bbox\": [95, 129, 129, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 129, 173, 135]}, {\"cell\": \"0.15 ± 0.06\", \"bbox\": [185, 129, 219, 135]}, {\"cell\": \"0.13 ± 0.07\", \"bbox\": [240, 129, 274, 135]}, {\"cell\": \"0.10 ± 0.07\", \"bbox\": [302, 129, 336, 135]}, {\"cell\": \"0.08 ± 0.05\", \"bbox\": [365, 129, 399, 135]}, {\"cell\": \"0.28 ± 0.20\", \"bbox\": [417, 129, 451, 135]}, {\"cell\": \"0.22 ± 0.15\", \"bbox\": [461, 129, 495, 135]}, {\"cell\": \"<b>PPV</b>\", \"bbox\": [4, 138, 21, 146]}, {\"cell\": \"0.11 ± 0.20\", \"bbox\": [52, 138, 86, 144]}, {\"cell\": \"0.10 ± 0.17\", \"bbox\": [95, 138, 129, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 138, 173, 144]}, {\"cell\": \"0.18 ± 0.19\", \"bbox\": [185, 138, 219, 144]}, {\"cell\": \"0.30 ± 0.25\", \"bbox\": [240, 138, 274, 144]}, {\"cell\": \"0.25 ± 0.33\", \"bbox\": [302, 138, 336, 144]}, {\"cell\": \"0.41 ± 0.29\", \"bbox\": [365, 138, 399, 144]}, {\"cell\": \"0.11 ± 0.08\", \"bbox\": [417, 138, 451, 144]}, {\"cell\": \"0.18 ± 0.12\", \"bbox\": [461, 138, 495, 144]}, {\"cell\": \"<b>accuracy</b>\", \"bbox\": [4, 147, 35, 155]}, {\"cell\": \"0.83 ± 0.05\", \"bbox\": [52, 147, 86, 153]}, {\"cell\": \"0.77 ± 0.07\", \"bbox\": [95, 147, 129, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 147, 173, 153]}, {\"cell\": \"0.80 ± 0.08\", \"bbox\": [185, 147, 219, 153]}, {\"cell\": \"0.83 ± 0.09\", \"bbox\": [240, 147, 274, 153]}, {\"cell\": \"0.84 ± 0.09\", \"bbox\": [302, 147, 336, 153]}, {\"cell\": \"0.88 ± 0.07\", \"bbox\": [365, 147, 399, 153]}, {\"cell\": \"0.69 ± 0.17\", \"bbox\": [417, 147, 451, 153]}, {\"cell\": \"0.74 ± 0.12\", \"bbox\": [461, 147, 495, 153]}, {\"cell\": \"<b>AUC</b>\", \"bbox\": [4, 156, 23, 164]}, {\"cell\": \"0.51 ± 0.09\", \"bbox\": [52, 156, 86, 162]}, {\"cell\": \"0.50 ± 0.13\", \"bbox\": [95, 156, 129, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 156, 173, 162]}, {\"cell\": \"0.56 ± 0.11\", \"bbox\": [185, 156, 219, 162]}, {\"cell\": \"0.64 ± 0.17\", \"bbox\": [240, 156, 274, 162]}, {\"cell\": \"0.58 ± 0.17\", \"bbox\": [302, 156, 336, 162]}, {\"cell\": \"0.69 ± 0.15\", \"bbox\": [365, 156, 399, 162]}, {\"cell\": \"0.53 ± 0.08\", \"bbox\": [417, 156, 451, 162]}, {\"cell\": \"0.60 ± 0.13\", \"bbox\": [461, 156, 495, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2174481_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}402{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Total(N=75)</b></td><td><b>LINC00470 high expression</b></td><td><b>LINC00470 low expression</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Histologic grade<sup>*</sup>-no.(%)</td></tr><tr><td colspan=\\\"4\\\"> Astrocytoma</td></tr><tr><td>I</td><td>9(12)</td><td>3(33)</td><td>[EMPTY_CELL]</td></tr><tr><td>II</td><td>27(36)</td><td>14(52)</td><td>[EMPTY_CELL]</td></tr><tr><td>III</td><td>18(24)</td><td>13(72)</td><td>[EMPTY_CELL]</td></tr><tr><td>IV</td><td>21(28)</td><td>17(81)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Sex-no.(%)</td></tr><tr><td> Male</td><td>39(52)</td><td>17(44)</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>36(48)</td><td>21(58)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Age<sup>*</sup>-no.(%)</td></tr><tr><td> ≤42</td><td>31(41)</td><td>10(33)</td><td>[EMPTY_CELL]</td></tr><tr><td> >42</td><td>44(54)</td><td>35(80)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Tumor location<sup>*</sup>-no./total no.(%)</td></tr><tr><td> Frontal lobe</td><td>23/72(32)</td><td>9/23(39)</td><td>[EMPTY_CELL]</td></tr><tr><td> Parietal lobe</td><td>19/72(26)</td><td>6/19(32)</td><td>[EMPTY_CELL]</td></tr><tr><td> Temporal lobe</td><td>13/72(19)</td><td>10/13(77)</td><td>[EMPTY_CELL]</td></tr><tr><td> Brainstem</td><td>3/72(4)</td><td>2/3(66)</td><td>[EMPTY_CELL]</td></tr><tr><td> others</td><td>14/72(19)</td><td>7/17(50)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Laterality-no./total no.(%)</td></tr><tr><td> Left</td><td>32/72(44)</td><td>15/33(47)</td><td>[EMPTY_CELL]</td></tr><tr><td> Right</td><td>25/72(35)</td><td>10/26(38)</td><td>[EMPTY_CELL]</td></tr><tr><td> others</td><td>15/72(21)</td><td>7/16(43)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Presenting symptom-no./total no.(%)</td></tr><tr><td> Seizure</td><td>38/70(54)</td><td>21/38(55)</td><td>[EMPTY_CELL]</td></tr><tr><td> Headache</td><td>12/70(17)</td><td>6/12(50)</td><td>[EMPTY_CELL]</td></tr><tr><td> Sensory or visual change</td><td>9/70(13)</td><td>5/9 (56)</td><td>[EMPTY_CELL]</td></tr><tr><td> Mental statue change</td><td>11/70(16)</td><td>6/11(55)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"<b>Total(N=75)</b>\", \"bbox\": [87, 4, 126, 13]}, {\"cell\": \"<b>LINC00470 high expression</b>\", \"bbox\": [130, 4, 182, 22]}, {\"cell\": \"<b>LINC00470 low expression</b>\", \"bbox\": [186, 4, 236, 22]}, {\"cell\": \"Histologic grade<sup>*</sup>-no.(%)\", \"bbox\": [1, 24, 79, 36]}, {\"cell\": \" Astrocytoma\", \"bbox\": [8, 40, 51, 50]}, {\"cell\": \"I\", \"bbox\": [16, 54, 20, 64]}, {\"cell\": \"9(12)\", \"bbox\": [87, 54, 104, 64]}, {\"cell\": \"3(33)\", \"bbox\": [130, 54, 147, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 54, 204, 64]}, {\"cell\": \"II\", \"bbox\": [16, 68, 22, 78]}, {\"cell\": \"27(36)\", \"bbox\": [87, 68, 108, 78]}, {\"cell\": \"14(52)\", \"bbox\": [130, 68, 151, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 68, 208, 78]}, {\"cell\": \"III\", \"bbox\": [16, 82, 23, 92]}, {\"cell\": \"18(24)\", \"bbox\": [87, 82, 108, 92]}, {\"cell\": \"13(72)\", \"bbox\": [130, 82, 151, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 82, 208, 92]}, {\"cell\": \"IV\", \"bbox\": [16, 96, 24, 106]}, {\"cell\": \"21(28)\", \"bbox\": [87, 96, 108, 106]}, {\"cell\": \"17(81)\", \"bbox\": [130, 96, 151, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 96, 204, 106]}, {\"cell\": \"Sex-no.(%)\", \"bbox\": [1, 110, 36, 120]}, {\"cell\": \" Male\", \"bbox\": [8, 124, 26, 134]}, {\"cell\": \"39(52)\", \"bbox\": [87, 124, 108, 134]}, {\"cell\": \"17(44)\", \"bbox\": [130, 124, 151, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 124, 208, 134]}, {\"cell\": \" Female\", \"bbox\": [8, 138, 34, 148]}, {\"cell\": \"36(48)\", \"bbox\": [87, 138, 108, 148]}, {\"cell\": \"21(58)\", \"bbox\": [130, 138, 151, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 138, 208, 148]}, {\"cell\": \"Age<sup>*</sup>-no.(%)\", \"bbox\": [1, 150, 40, 162]}, {\"cell\": \" ≤42\", \"bbox\": [8, 166, 23, 176]}, {\"cell\": \"31(41)\", \"bbox\": [87, 166, 108, 176]}, {\"cell\": \"10(33)\", \"bbox\": [130, 166, 151, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 166, 208, 176]}, {\"cell\": \" >42\", \"bbox\": [8, 180, 23, 190]}, {\"cell\": \"44(54)\", \"bbox\": [87, 180, 108, 190]}, {\"cell\": \"35(80)\", \"bbox\": [130, 180, 151, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 180, 204, 190]}, {\"cell\": \"Tumor location<sup>*</sup>-no./total no.(%)\", \"bbox\": [1, 192, 105, 204]}, {\"cell\": \" Frontal lobe\", \"bbox\": [8, 208, 49, 218]}, {\"cell\": \"23/72(32)\", \"bbox\": [87, 208, 118, 218]}, {\"cell\": \"9/23(39)\", \"bbox\": [130, 208, 158, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 208, 218, 218]}, {\"cell\": \" Parietal lobe\", \"bbox\": [8, 222, 50, 232]}, {\"cell\": \"19/72(26)\", \"bbox\": [87, 222, 118, 232]}, {\"cell\": \"6/19(32)\", \"bbox\": [130, 222, 158, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 222, 218, 232]}, {\"cell\": \" Temporal lobe\", \"bbox\": [8, 236, 57, 246]}, {\"cell\": \"13/72(19)\", \"bbox\": [87, 236, 118, 246]}, {\"cell\": \"10/13(77)\", \"bbox\": [130, 236, 162, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 236, 215, 246]}, {\"cell\": \" Brainstem\", \"bbox\": [8, 250, 42, 260]}, {\"cell\": \"3/72(4)\", \"bbox\": [87, 250, 111, 260]}, {\"cell\": \"2/3(66)\", \"bbox\": [130, 250, 154, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 250, 211, 260]}, {\"cell\": \" others\", \"bbox\": [8, 264, 30, 274]}, {\"cell\": \"14/72(19)\", \"bbox\": [87, 264, 118, 274]}, {\"cell\": \"7/17(50)\", \"bbox\": [130, 264, 158, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 264, 215, 274]}, {\"cell\": \"Laterality-no./total no.(%)\", \"bbox\": [1, 278, 82, 288]}, {\"cell\": \" Left\", \"bbox\": [8, 292, 22, 302]}, {\"cell\": \"32/72(44)\", \"bbox\": [87, 292, 118, 302]}, {\"cell\": \"15/33(47)\", \"bbox\": [130, 292, 162, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 292, 218, 302]}, {\"cell\": \" Right\", \"bbox\": [8, 306, 27, 316]}, {\"cell\": \"25/72(35)\", \"bbox\": [87, 306, 118, 316]}, {\"cell\": \"10/26(38)\", \"bbox\": [130, 306, 162, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 306, 218, 316]}, {\"cell\": \" others\", \"bbox\": [8, 320, 30, 330]}, {\"cell\": \"15/72(21)\", \"bbox\": [87, 320, 118, 330]}, {\"cell\": \"7/16(43)\", \"bbox\": [130, 320, 158, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 320, 215, 330]}, {\"cell\": \"Presenting symptom-no./total no.(%)\", \"bbox\": [1, 334, 120, 344]}, {\"cell\": \" Seizure\", \"bbox\": [8, 348, 33, 358]}, {\"cell\": \"38/70(54)\", \"bbox\": [87, 348, 118, 358]}, {\"cell\": \"21/38(55)\", \"bbox\": [130, 348, 162, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 348, 218, 358]}, {\"cell\": \" Headache\", \"bbox\": [8, 362, 42, 372]}, {\"cell\": \"12/70(17)\", \"bbox\": [87, 362, 118, 372]}, {\"cell\": \"6/12(50)\", \"bbox\": [130, 362, 158, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 362, 215, 372]}, {\"cell\": \" Sensory or visual change\", \"bbox\": [8, 376, 64, 395]}, {\"cell\": \"9/70(13)\", \"bbox\": [87, 376, 115, 386]}, {\"cell\": \"5/9 (56)\", \"bbox\": [130, 376, 156, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 376, 211, 386]}, {\"cell\": \" Mental statue change\", \"bbox\": [8, 399, 80, 409]}, {\"cell\": \"11/70(16)\", \"bbox\": [87, 399, 118, 409]}, {\"cell\": \"6/11(55)\", \"bbox\": [130, 399, 158, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 399, 215, 409]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5987392_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}403{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Feature</b></td><td><b>Dimensions</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>• Reward: incentive implies increase in payments• Penalty: incentive implies decrease in payments</td></tr><tr><td>[EMPTY_CELL]</td><td>• Individual: incentive is granted to an individual (e.g. healthcare provider such as GP)• Group: incentive is granted to a group (e.g. clinical team, GP practice, hospital trust)</td></tr><tr><td>[EMPTY_CELL]</td><td>• Structure: incentives are based on resources assembled to deliver care (including personnel, facilities, IT, and materials)• Process: incentives are based on the completion of specific tasks or recommended treatments (e.g. performance measures, clinical quality)• Outcome: incentives are based on ultimate results of care (e.g. patient experience, health status, morbidity, and mortality)</td></tr><tr><td>[EMPTY_CELL]</td><td>• General: incentives target at general domain of quality (e.g. payment for each patient enrolled in disease management program).• Selective: incentives target a specific domain of quality (e.g. periodic blood pressure readings or cholesterol screening)</td></tr><tr><td>[EMPTY_CELL]</td><td>• Intrinsic: incentive affects intrinsic motivation to deliver high quality care (e.g. patient benefit)• Extrinsic: incentive affects extrinsic motivation to deliver high quality care (e.g. economic interest)</td></tr><tr><td>[EMPTY_CELL]</td><td>• Relative: incentive is paid for achieving a given comparative ranking among providers (e.g. hospitals in top 2 performing quartiles are offered increases in tariff payments)• Absolute: incentives is paid for a continuous gradient of quality improvement (e.g. sickness funds receive higher payments for each patient enrolled in disease management program)</td></tr><tr><td>[EMPTY_CELL]</td><td>• Amount of money provided or withdrawn</td></tr><tr><td>[EMPTY_CELL]</td><td>• Certain: incented entity is certain about achievability of targets (e.g. targets seem easily achievable; guaranteed reward schedule)• Uncertain: incented entity is uncertain about achievability of targets (e.g. targets seem not easily achievable; competition for limited funds)</td></tr><tr><td>[EMPTY_CELL]</td><td>• Frequency: number of times a year an incentive is provided• Duration: number of years an incentive is provided</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Feature</b>\", \"bbox\": [1, 4, 29, 12]}, {\"cell\": \"<b>Dimensions</b>\", \"bbox\": [123, 4, 165, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 26, 27]}, {\"cell\": \"• Reward: incentive implies increase in payments• Penalty: incentive implies decrease in payments\", \"bbox\": [123, 17, 284, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 83, 49]}, {\"cell\": \"• Individual: incentive is granted to an individual (e.g. healthcare provider such as GP)• Group: incentive is granted to a group (e.g. clinical team, GP practice, hospital trust)\", \"bbox\": [123, 39, 402, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 61, 111, 80]}, {\"cell\": \"• Structure: incentives are based on resources assembled to deliver care (including personnel, facilities, IT, and materials)• Process: incentives are based on the completion of specific tasks or recommended treatments (e.g. performance measures, clinical quality)• Outcome: incentives are based on ultimate results of care (e.g. patient experience, health status, morbidity, and mortality)\", \"bbox\": [123, 61, 479, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 120, 30, 129]}, {\"cell\": \"• General: incentives target at general domain of quality (e.g. payment for each patient enrolled in disease management program).• Selective: incentives target a specific domain of quality (e.g. periodic blood pressure readings or cholesterol screening)\", \"bbox\": [123, 120, 477, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 160, 44, 169]}, {\"cell\": \"• Intrinsic: incentive affects intrinsic motivation to deliver high quality care (e.g. patient benefit)• Extrinsic: incentive affects extrinsic motivation to deliver high quality care (e.g. economic interest)\", \"bbox\": [123, 160, 444, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 182, 26, 191]}, {\"cell\": \"• Relative: incentive is paid for achieving a given comparative ranking among providers (e.g. hospitals in top 2 performing quartiles are offered increases in tariff payments)• Absolute: incentives is paid for a continuous gradient of quality improvement (e.g. sickness funds receive higher payments for each patient enrolled in disease management program)\", \"bbox\": [123, 182, 482, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 222, 23, 231]}, {\"cell\": \"• Amount of money provided or withdrawn\", \"bbox\": [123, 222, 267, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 235, 39, 245]}, {\"cell\": \"• Certain: incented entity is certain about achievability of targets (e.g. targets seem easily achievable; guaranteed reward schedule)• Uncertain: incented entity is uncertain about achievability of targets (e.g. targets seem not easily achievable; competition for limited funds)\", \"bbox\": [123, 235, 479, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 275, 88, 285]}, {\"cell\": \"• Frequency: number of times a year an incentive is provided• Duration: number of years an incentive is provided\", \"bbox\": [123, 275, 323, 294]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3218039_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}404{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td><td colspan=\\\"8\\\"><b>Total</b></td><td colspan=\\\"6\\\"><b>Men</b></td><td colspan=\\\"4\\\"><b>Women</b></td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td><td><b>CHD</b></td><td><b>Control</b></td><td><b>OR</b></td><td><b>95% CI</b></td><td><b>Nominal p</b></td><td><b>Adjusted p</b></td><td><b>CHD</b></td><td><b>Control</b></td><td><b>OR</b></td><td><b>95% CI</b></td><td><b>Nominal p</b></td><td><b>Adjusted p</b></td><td><b>CHD</b></td><td><b>Control</b></td><td><b>OR</b></td><td><b>95% CI</b></td><td><b>Nominal p</b></td><td><b>Adjusted p</b></td></tr></thead><tbody><tr><td>1</td><td><b>1/1</b></td><td>0100/0100</td><td>CTAC/CTAC</td><td>[EMPTY_CELL]</td><td>52</td><td>1.511</td><td>0.893-2.557</td><td>0.122</td><td>1</td><td>40</td><td>28</td><td>0.824</td><td>0.421-1.611</td><td>0.334</td><td>0.334</td><td>7</td><td>24</td><td>0.251</td><td>0.105-0.876</td><td>0.004*</td><td>0.036*</td></tr><tr><td>2</td><td><b>1/2</b></td><td>0100/0000</td><td>CTAC/CCAC</td><td>[EMPTY_CELL]</td><td>59</td><td>0.858</td><td>0.576-1.278</td><td>0.451</td><td>1</td><td>53</td><td>25</td><td>1.437</td><td>0.839-2.462</td><td>0.149</td><td>0.745</td><td>19</td><td>34</td><td>0.419</td><td>0.218-0.806</td><td>0.016*</td><td>0.072</td></tr><tr><td>3</td><td><b>2/2</b></td><td>0000/0000</td><td>CCAC/CCAC</td><td>[EMPTY_CELL]</td><td>24</td><td>1.216</td><td>0.708-2.088</td><td>0.479</td><td>0.958</td><td>32</td><td>10</td><td>2.184</td><td>1.033-4.615</td><td>0.074</td><td>0.740</td><td>7</td><td>14</td><td>0.435</td><td>0.167-1.130</td><td>0.108</td><td>0.324</td></tr><tr><td>4</td><td><b>1/3</b></td><td>0100/0001</td><td>CTAC/CCAT</td><td>[EMPTY_CELL]</td><td>18</td><td>0.756</td><td>0.387-1.477</td><td>0.412</td><td>1</td><td>12</td><td>13</td><td>0.549</td><td>0.242-1.245</td><td>0.195</td><td>0.488</td><td>7</td><td>5</td><td>1.354</td><td>0.414-4.425</td><td>0.351</td><td>0.526</td></tr><tr><td>5</td><td><b>1/4</b></td><td>0100/0010</td><td>CTAC/CCCC</td><td>[EMPTY_CELL]</td><td>8</td><td>1.100</td><td>0.442-2.739</td><td>0.837</td><td>1</td><td>9</td><td>6</td><td>0.933</td><td>0.324-2.686</td><td>0.326</td><td>0.408</td><td>3</td><td>2</td><td>0.438</td><td>0.235-8.800</td><td>0.308</td><td>0.554</td></tr><tr><td>6</td><td><b>1/5</b></td><td>0100/1001</td><td>CTAC/TCAT</td><td>[EMPTY_CELL]</td><td>5</td><td>1.478</td><td>0.498-4.386</td><td>0.479</td><td>1</td><td>9</td><td>3</td><td>1.912</td><td>0.508-7.201</td><td>0.220</td><td>0.440</td><td>1</td><td>2</td><td>0.469</td><td>0.042-5.264</td><td>0.424</td><td>0.424</td></tr><tr><td>7</td><td><b>2/5</b></td><td>0000/1001</td><td>CCAC/TCAT</td><td>[EMPTY_CELL]</td><td>4</td><td>0.912</td><td>0.242-3.437</td><td>0.900</td><td>0.981</td><td>5</td><td>0</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>0</td><td>4</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>8</td><td><b>5/5</b></td><td>1001/1001</td><td>TCAT/TCAT</td><td>[EMPTY_CELL]</td><td>1</td><td>2.205</td><td>0.228-21.338</td><td>0.484</td><td>0.830</td><td>1</td><td>1</td><td>0.622</td><td>0.039-10.032</td><td>0.294</td><td>0.49</td><td>2</td><td>0</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>9</td><td><b>1/7</b></td><td>0100/1000</td><td>CTAC/TCAC</td><td>[EMPTY_CELL]</td><td>4</td><td>1.098</td><td>0.306-3.939</td><td>0.891</td><td>1</td><td>1</td><td>2</td><td>0.308</td><td>0.028-3.437</td><td>0.321</td><td>0.467</td><td>5</td><td>2</td><td>2.477</td><td>0.463-12.931</td><td>0.278</td><td>0.626</td></tr><tr><td>10</td><td><b>1/8</b></td><td>0100/1010</td><td>CTAC/TCCC</td><td>[EMPTY_CELL]</td><td>3</td><td>0.728</td><td>0.146-3.642</td><td>0.698</td><td>1</td><td>1</td><td>1</td><td>0.622</td><td>0.039-10.032</td><td>0.327</td><td>0.363</td><td>2</td><td>2</td><td>0.948</td><td>0.131-6.874</td><td>0.383</td><td>0.431</td></tr><tr><td>11</td><td><b>2/8</b></td><td>0000/1010</td><td>CCAC/TCCC</td><td>[EMPTY_CELL]</td><td>5</td><td>1.024</td><td>0.321-3.269</td><td>0.968</td><td>0.968</td><td>0</td><td>5</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>7</td><td>0</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>12</td><td><b>1/9</b></td><td>0100/1011</td><td>CTAC/TCCT</td><td>[EMPTY_CELL]</td><td>8</td><td>0.448</td><td>0.144-1.387</td><td>0.153</td><td>0.918</td><td>4</td><td>6</td><td>0.404</td><td>0.112-1.461</td><td>0.154</td><td>0.513</td><td>1</td><td>2</td><td>0.469</td><td>0.042-5.264</td><td>0.353</td><td>0.454</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total</b>\", \"bbox\": [203, 4, 221, 13]}, {\"cell\": \"<b>Men</b>\", \"bbox\": [414, 4, 430, 13]}, {\"cell\": \"<b>Women</b>\", \"bbox\": [567, 4, 594, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>CHD</b>\", \"bbox\": [96, 16, 113, 25]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [117, 16, 143, 25]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [150, 16, 162, 25]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [176, 16, 201, 25]}, {\"cell\": \"<b>Nominal p</b>\", \"bbox\": [212, 16, 241, 34]}, {\"cell\": \"<b>Adjusted p</b>\", \"bbox\": [245, 16, 276, 34]}, {\"cell\": \"<b>CHD</b>\", \"bbox\": [281, 16, 297, 25]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [301, 16, 327, 25]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [335, 16, 346, 25]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [360, 16, 385, 25]}, {\"cell\": \"<b>Nominal p</b>\", \"bbox\": [396, 16, 426, 34]}, {\"cell\": \"<b>Adjusted p</b>\", \"bbox\": [430, 16, 461, 34]}, {\"cell\": \"<b>CHD</b>\", \"bbox\": [465, 16, 481, 25]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [486, 16, 512, 25]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [519, 16, 530, 25]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [545, 16, 570, 25]}, {\"cell\": \"<b>Nominal p</b>\", \"bbox\": [581, 16, 610, 34]}, {\"cell\": \"<b>Adjusted p</b>\", \"bbox\": [614, 16, 645, 34]}, {\"cell\": \"1\", \"bbox\": [2, 38, 8, 45]}, {\"cell\": \"<b>1/1</b>\", \"bbox\": [14, 38, 26, 47]}, {\"cell\": \"0100/0100\", \"bbox\": [30, 38, 49, 54]}, {\"cell\": \"CTAC/CTAC\", \"bbox\": [54, 38, 91, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 38, 109, 45]}, {\"cell\": \"52\", \"bbox\": [125, 38, 135, 45]}, {\"cell\": \"1.511\", \"bbox\": [147, 38, 165, 45]}, {\"cell\": \"0.893-2.557\", \"bbox\": [171, 38, 206, 45]}, {\"cell\": \"0.122\", \"bbox\": [218, 38, 235, 45]}, {\"cell\": \"1\", \"bbox\": [258, 38, 264, 45]}, {\"cell\": \"40\", \"bbox\": [284, 38, 293, 45]}, {\"cell\": \"28\", \"bbox\": [310, 38, 319, 45]}, {\"cell\": \"0.824\", \"bbox\": [331, 38, 349, 45]}, {\"cell\": \"0.421-1.611\", \"bbox\": [355, 38, 390, 45]}, {\"cell\": \"0.334\", \"bbox\": [402, 38, 420, 45]}, {\"cell\": \"0.334\", \"bbox\": [437, 38, 454, 45]}, {\"cell\": \"7\", \"bbox\": [470, 38, 476, 45]}, {\"cell\": \"24\", \"bbox\": [494, 38, 503, 45]}, {\"cell\": \"0.251\", \"bbox\": [516, 38, 533, 45]}, {\"cell\": \"0.105-0.876\", \"bbox\": [539, 38, 575, 45]}, {\"cell\": \"0.004*\", \"bbox\": [585, 38, 606, 45]}, {\"cell\": \"0.036*\", \"bbox\": [619, 38, 640, 45]}, {\"cell\": \"2\", \"bbox\": [2, 60, 8, 67]}, {\"cell\": \"<b>1/2</b>\", \"bbox\": [14, 60, 26, 69]}, {\"cell\": \"0100/0000\", \"bbox\": [30, 60, 49, 76]}, {\"cell\": \"CTAC/CCAC\", \"bbox\": [54, 60, 92, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 60, 109, 67]}, {\"cell\": \"59\", \"bbox\": [125, 60, 135, 67]}, {\"cell\": \"0.858\", \"bbox\": [147, 60, 165, 67]}, {\"cell\": \"0.576-1.278\", \"bbox\": [171, 60, 206, 67]}, {\"cell\": \"0.451\", \"bbox\": [218, 60, 235, 67]}, {\"cell\": \"1\", \"bbox\": [258, 60, 264, 67]}, {\"cell\": \"53\", \"bbox\": [284, 60, 293, 67]}, {\"cell\": \"25\", \"bbox\": [310, 60, 319, 67]}, {\"cell\": \"1.437\", \"bbox\": [331, 60, 349, 67]}, {\"cell\": \"0.839-2.462\", \"bbox\": [355, 60, 390, 67]}, {\"cell\": \"0.149\", \"bbox\": [402, 60, 420, 67]}, {\"cell\": \"0.745\", \"bbox\": [437, 60, 454, 67]}, {\"cell\": \"19\", \"bbox\": [469, 60, 478, 67]}, {\"cell\": \"34\", \"bbox\": [494, 60, 503, 67]}, {\"cell\": \"0.419\", \"bbox\": [516, 60, 533, 67]}, {\"cell\": \"0.218-0.806\", \"bbox\": [539, 60, 575, 67]}, {\"cell\": \"0.016*\", \"bbox\": [585, 60, 606, 67]}, {\"cell\": \"0.072\", \"bbox\": [621, 60, 639, 67]}, {\"cell\": \"3\", \"bbox\": [2, 82, 8, 89]}, {\"cell\": \"<b>2/2</b>\", \"bbox\": [14, 82, 26, 91]}, {\"cell\": \"0000/0000\", \"bbox\": [30, 82, 49, 98]}, {\"cell\": \"CCAC/CCAC\", \"bbox\": [53, 82, 92, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 82, 109, 89]}, {\"cell\": \"24\", \"bbox\": [125, 82, 135, 89]}, {\"cell\": \"1.216\", \"bbox\": [147, 82, 165, 89]}, {\"cell\": \"0.708-2.088\", \"bbox\": [171, 82, 206, 89]}, {\"cell\": \"0.479\", \"bbox\": [218, 82, 235, 89]}, {\"cell\": \"0.958\", \"bbox\": [252, 82, 270, 89]}, {\"cell\": \"32\", \"bbox\": [284, 82, 293, 89]}, {\"cell\": \"10\", \"bbox\": [310, 82, 319, 89]}, {\"cell\": \"2.184\", \"bbox\": [331, 82, 349, 89]}, {\"cell\": \"1.033-4.615\", \"bbox\": [355, 82, 390, 89]}, {\"cell\": \"0.074\", \"bbox\": [402, 82, 420, 89]}, {\"cell\": \"0.740\", \"bbox\": [437, 82, 454, 89]}, {\"cell\": \"7\", \"bbox\": [470, 82, 476, 89]}, {\"cell\": \"14\", \"bbox\": [494, 82, 503, 89]}, {\"cell\": \"0.435\", \"bbox\": [516, 82, 533, 89]}, {\"cell\": \"0.167-1.130\", \"bbox\": [539, 82, 575, 89]}, {\"cell\": \"0.108\", \"bbox\": [587, 82, 604, 89]}, {\"cell\": \"0.324\", \"bbox\": [621, 82, 639, 89]}, {\"cell\": \"4\", \"bbox\": [2, 104, 8, 111]}, {\"cell\": \"<b>1/3</b>\", \"bbox\": [14, 104, 26, 113]}, {\"cell\": \"0100/0001\", \"bbox\": [30, 104, 49, 120]}, {\"cell\": \"CTAC/CCAT\", \"bbox\": [54, 104, 91, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 104, 109, 111]}, {\"cell\": \"18\", \"bbox\": [125, 104, 135, 111]}, {\"cell\": \"0.756\", \"bbox\": [147, 104, 165, 111]}, {\"cell\": \"0.387-1.477\", \"bbox\": [171, 104, 206, 111]}, {\"cell\": \"0.412\", \"bbox\": [218, 104, 235, 111]}, {\"cell\": \"1\", \"bbox\": [258, 104, 264, 111]}, {\"cell\": \"12\", \"bbox\": [284, 104, 293, 111]}, {\"cell\": \"13\", \"bbox\": [310, 104, 319, 111]}, {\"cell\": \"0.549\", \"bbox\": [331, 104, 349, 111]}, {\"cell\": \"0.242-1.245\", \"bbox\": [355, 104, 390, 111]}, {\"cell\": \"0.195\", \"bbox\": [402, 104, 420, 111]}, {\"cell\": \"0.488\", \"bbox\": [437, 104, 454, 111]}, {\"cell\": \"7\", \"bbox\": [470, 104, 476, 111]}, {\"cell\": \"5\", \"bbox\": [496, 104, 501, 111]}, {\"cell\": \"1.354\", \"bbox\": [516, 104, 533, 111]}, {\"cell\": \"0.414-4.425\", \"bbox\": [539, 104, 575, 111]}, {\"cell\": \"0.351\", \"bbox\": [587, 104, 604, 111]}, {\"cell\": \"0.526\", \"bbox\": [621, 104, 639, 111]}, {\"cell\": \"5\", \"bbox\": [2, 126, 8, 133]}, {\"cell\": \"<b>1/4</b>\", \"bbox\": [14, 126, 26, 135]}, {\"cell\": \"0100/0010\", \"bbox\": [30, 126, 49, 142]}, {\"cell\": \"CTAC/CCCC\", \"bbox\": [54, 126, 92, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 126, 109, 133]}, {\"cell\": \"8\", \"bbox\": [127, 126, 133, 133]}, {\"cell\": \"1.100\", \"bbox\": [147, 126, 165, 133]}, {\"cell\": \"0.442-2.739\", \"bbox\": [171, 126, 206, 133]}, {\"cell\": \"0.837\", \"bbox\": [218, 126, 235, 133]}, {\"cell\": \"1\", \"bbox\": [258, 126, 264, 133]}, {\"cell\": \"9\", \"bbox\": [286, 126, 292, 133]}, {\"cell\": \"6\", \"bbox\": [311, 126, 317, 133]}, {\"cell\": \"0.933\", \"bbox\": [331, 126, 349, 133]}, {\"cell\": \"0.324-2.686\", \"bbox\": [355, 126, 390, 133]}, {\"cell\": \"0.326\", \"bbox\": [402, 126, 420, 133]}, {\"cell\": \"0.408\", \"bbox\": [437, 126, 454, 133]}, {\"cell\": \"3\", \"bbox\": [470, 126, 476, 133]}, {\"cell\": \"2\", \"bbox\": [496, 126, 501, 133]}, {\"cell\": \"0.438\", \"bbox\": [516, 126, 533, 133]}, {\"cell\": \"0.235-8.800\", \"bbox\": [539, 126, 575, 133]}, {\"cell\": \"0.308\", \"bbox\": [587, 126, 604, 133]}, {\"cell\": \"0.554\", \"bbox\": [621, 126, 639, 133]}, {\"cell\": \"6\", \"bbox\": [2, 148, 8, 155]}, {\"cell\": \"<b>1/5</b>\", \"bbox\": [14, 148, 26, 157]}, {\"cell\": \"0100/1001\", \"bbox\": [30, 148, 49, 164]}, {\"cell\": \"CTAC/TCAT\", \"bbox\": [55, 148, 91, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 148, 109, 155]}, {\"cell\": \"5\", \"bbox\": [127, 148, 133, 155]}, {\"cell\": \"1.478\", \"bbox\": [147, 148, 165, 155]}, {\"cell\": \"0.498-4.386\", \"bbox\": [171, 148, 206, 155]}, {\"cell\": \"0.479\", \"bbox\": [218, 148, 235, 155]}, {\"cell\": \"1\", \"bbox\": [258, 148, 264, 155]}, {\"cell\": \"9\", \"bbox\": [286, 148, 292, 155]}, {\"cell\": \"3\", \"bbox\": [311, 148, 317, 155]}, {\"cell\": \"1.912\", \"bbox\": [331, 148, 349, 155]}, {\"cell\": \"0.508-7.201\", \"bbox\": [355, 148, 390, 155]}, {\"cell\": \"0.220\", \"bbox\": [402, 148, 420, 155]}, {\"cell\": \"0.440\", \"bbox\": [437, 148, 454, 155]}, {\"cell\": \"1\", \"bbox\": [470, 148, 476, 155]}, {\"cell\": \"2\", \"bbox\": [496, 148, 501, 155]}, {\"cell\": \"0.469\", \"bbox\": [516, 148, 533, 155]}, {\"cell\": \"0.042-5.264\", \"bbox\": [539, 148, 575, 155]}, {\"cell\": \"0.424\", \"bbox\": [587, 148, 604, 155]}, {\"cell\": \"0.424\", \"bbox\": [621, 148, 639, 155]}, {\"cell\": \"7\", \"bbox\": [2, 170, 8, 177]}, {\"cell\": \"<b>2/5</b>\", \"bbox\": [14, 170, 26, 179]}, {\"cell\": \"0000/1001\", \"bbox\": [30, 170, 49, 186]}, {\"cell\": \"CCAC/TCAT\", \"bbox\": [54, 170, 91, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 170, 107, 177]}, {\"cell\": \"4\", \"bbox\": [127, 170, 133, 177]}, {\"cell\": \"0.912\", \"bbox\": [147, 170, 165, 177]}, {\"cell\": \"0.242-3.437\", \"bbox\": [171, 170, 206, 177]}, {\"cell\": \"0.900\", \"bbox\": [218, 170, 235, 177]}, {\"cell\": \"0.981\", \"bbox\": [252, 170, 270, 177]}, {\"cell\": \"5\", \"bbox\": [286, 170, 292, 177]}, {\"cell\": \"0\", \"bbox\": [311, 170, 317, 177]}, {\"cell\": \"-\", \"bbox\": [338, 170, 342, 177]}, {\"cell\": \"-\", \"bbox\": [371, 170, 375, 177]}, {\"cell\": \"-\", \"bbox\": [409, 170, 413, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [470, 170, 476, 177]}, {\"cell\": \"4\", \"bbox\": [496, 170, 501, 177]}, {\"cell\": \"-\", \"bbox\": [523, 170, 527, 177]}, {\"cell\": \"-\", \"bbox\": [555, 170, 559, 177]}, {\"cell\": \"-\", \"bbox\": [593, 170, 598, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [2, 192, 8, 199]}, {\"cell\": \"<b>5/5</b>\", \"bbox\": [14, 192, 26, 201]}, {\"cell\": \"1001/1001\", \"bbox\": [30, 192, 49, 208]}, {\"cell\": \"TCAT/TCAT\", \"bbox\": [55, 192, 91, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 192, 107, 199]}, {\"cell\": \"1\", \"bbox\": [127, 192, 133, 199]}, {\"cell\": \"2.205\", \"bbox\": [147, 192, 165, 199]}, {\"cell\": \"0.228-21.338\", \"bbox\": [169, 192, 208, 199]}, {\"cell\": \"0.484\", \"bbox\": [218, 192, 235, 199]}, {\"cell\": \"0.830\", \"bbox\": [252, 192, 270, 199]}, {\"cell\": \"1\", \"bbox\": [286, 192, 292, 199]}, {\"cell\": \"1\", \"bbox\": [311, 192, 317, 199]}, {\"cell\": \"0.622\", \"bbox\": [331, 192, 349, 199]}, {\"cell\": \"0.039-10.032\", \"bbox\": [353, 192, 392, 199]}, {\"cell\": \"0.294\", \"bbox\": [402, 192, 420, 199]}, {\"cell\": \"0.49\", \"bbox\": [438, 192, 452, 199]}, {\"cell\": \"2\", \"bbox\": [470, 192, 476, 199]}, {\"cell\": \"0\", \"bbox\": [496, 192, 501, 199]}, {\"cell\": \"-\", \"bbox\": [523, 192, 527, 199]}, {\"cell\": \"-\", \"bbox\": [555, 192, 559, 199]}, {\"cell\": \"-\", \"bbox\": [593, 192, 598, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [2, 214, 8, 221]}, {\"cell\": \"<b>1/7</b>\", \"bbox\": [14, 214, 26, 223]}, {\"cell\": \"0100/1000\", \"bbox\": [30, 214, 49, 230]}, {\"cell\": \"CTAC/TCAC\", \"bbox\": [54, 214, 91, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 214, 107, 221]}, {\"cell\": \"4\", \"bbox\": [127, 214, 133, 221]}, {\"cell\": \"1.098\", \"bbox\": [147, 214, 165, 221]}, {\"cell\": \"0.306-3.939\", \"bbox\": [171, 214, 206, 221]}, {\"cell\": \"0.891\", \"bbox\": [218, 214, 235, 221]}, {\"cell\": \"1\", \"bbox\": [258, 214, 264, 221]}, {\"cell\": \"1\", \"bbox\": [286, 214, 292, 221]}, {\"cell\": \"2\", \"bbox\": [311, 214, 317, 221]}, {\"cell\": \"0.308\", \"bbox\": [331, 214, 349, 221]}, {\"cell\": \"0.028-3.437\", \"bbox\": [355, 214, 390, 221]}, {\"cell\": \"0.321\", \"bbox\": [402, 214, 420, 221]}, {\"cell\": \"0.467\", \"bbox\": [437, 214, 454, 221]}, {\"cell\": \"5\", \"bbox\": [470, 214, 476, 221]}, {\"cell\": \"2\", \"bbox\": [496, 214, 501, 221]}, {\"cell\": \"2.477\", \"bbox\": [516, 214, 533, 221]}, {\"cell\": \"0.463-12.931\", \"bbox\": [538, 214, 577, 221]}, {\"cell\": \"0.278\", \"bbox\": [587, 214, 604, 221]}, {\"cell\": \"0.626\", \"bbox\": [621, 214, 639, 221]}, {\"cell\": \"10\", \"bbox\": [1, 236, 10, 243]}, {\"cell\": \"<b>1/8</b>\", \"bbox\": [14, 236, 26, 245]}, {\"cell\": \"0100/1010\", \"bbox\": [30, 236, 49, 252]}, {\"cell\": \"CTAC/TCCC\", \"bbox\": [54, 236, 91, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 236, 107, 243]}, {\"cell\": \"3\", \"bbox\": [127, 236, 133, 243]}, {\"cell\": \"0.728\", \"bbox\": [147, 236, 165, 243]}, {\"cell\": \"0.146-3.642\", \"bbox\": [171, 236, 206, 243]}, {\"cell\": \"0.698\", \"bbox\": [218, 236, 235, 243]}, {\"cell\": \"1\", \"bbox\": [258, 236, 264, 243]}, {\"cell\": \"1\", \"bbox\": [286, 236, 292, 243]}, {\"cell\": \"1\", \"bbox\": [311, 236, 317, 243]}, {\"cell\": \"0.622\", \"bbox\": [331, 236, 349, 243]}, {\"cell\": \"0.039-10.032\", \"bbox\": [353, 236, 392, 243]}, {\"cell\": \"0.327\", \"bbox\": [402, 236, 420, 243]}, {\"cell\": \"0.363\", \"bbox\": [437, 236, 454, 243]}, {\"cell\": \"2\", \"bbox\": [470, 236, 476, 243]}, {\"cell\": \"2\", \"bbox\": [496, 236, 501, 243]}, {\"cell\": \"0.948\", \"bbox\": [516, 236, 533, 243]}, {\"cell\": \"0.131-6.874\", \"bbox\": [539, 236, 575, 243]}, {\"cell\": \"0.383\", \"bbox\": [587, 236, 604, 243]}, {\"cell\": \"0.431\", \"bbox\": [621, 236, 639, 243]}, {\"cell\": \"11\", \"bbox\": [1, 258, 10, 265]}, {\"cell\": \"<b>2/8</b>\", \"bbox\": [14, 258, 26, 267]}, {\"cell\": \"0000/1010\", \"bbox\": [30, 258, 49, 274]}, {\"cell\": \"CCAC/TCCC\", \"bbox\": [54, 258, 92, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 258, 107, 265]}, {\"cell\": \"5\", \"bbox\": [127, 258, 133, 265]}, {\"cell\": \"1.024\", \"bbox\": [147, 258, 165, 265]}, {\"cell\": \"0.321-3.269\", \"bbox\": [171, 258, 206, 265]}, {\"cell\": \"0.968\", \"bbox\": [218, 258, 235, 265]}, {\"cell\": \"0.968\", \"bbox\": [252, 258, 270, 265]}, {\"cell\": \"0\", \"bbox\": [286, 258, 292, 265]}, {\"cell\": \"5\", \"bbox\": [311, 258, 317, 265]}, {\"cell\": \"-\", \"bbox\": [338, 258, 342, 265]}, {\"cell\": \"-\", \"bbox\": [371, 258, 375, 265]}, {\"cell\": \"-\", \"bbox\": [409, 258, 413, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [470, 258, 476, 265]}, {\"cell\": \"0\", \"bbox\": [496, 258, 501, 265]}, {\"cell\": \"-\", \"bbox\": [523, 258, 527, 265]}, {\"cell\": \"-\", \"bbox\": [555, 258, 559, 265]}, {\"cell\": \"-\", \"bbox\": [593, 258, 598, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12\", \"bbox\": [1, 280, 10, 287]}, {\"cell\": \"<b>1/9</b>\", \"bbox\": [14, 280, 26, 289]}, {\"cell\": \"0100/1011\", \"bbox\": [30, 280, 49, 296]}, {\"cell\": \"CTAC/TCCT\", \"bbox\": [55, 280, 91, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 280, 107, 287]}, {\"cell\": \"8\", \"bbox\": [127, 280, 133, 287]}, {\"cell\": \"0.448\", \"bbox\": [147, 280, 165, 287]}, {\"cell\": \"0.144-1.387\", \"bbox\": [171, 280, 206, 287]}, {\"cell\": \"0.153\", \"bbox\": [218, 280, 235, 287]}, {\"cell\": \"0.918\", \"bbox\": [252, 280, 270, 287]}, {\"cell\": \"4\", \"bbox\": [286, 280, 292, 287]}, {\"cell\": \"6\", \"bbox\": [311, 280, 317, 287]}, {\"cell\": \"0.404\", \"bbox\": [331, 280, 349, 287]}, {\"cell\": \"0.112-1.461\", \"bbox\": [355, 280, 390, 287]}, {\"cell\": \"0.154\", \"bbox\": [402, 280, 420, 287]}, {\"cell\": \"0.513\", \"bbox\": [437, 280, 454, 287]}, {\"cell\": \"1\", \"bbox\": [470, 280, 476, 287]}, {\"cell\": \"2\", \"bbox\": [496, 280, 501, 287]}, {\"cell\": \"0.469\", \"bbox\": [516, 280, 533, 287]}, {\"cell\": \"0.042-5.264\", \"bbox\": [539, 280, 575, 287]}, {\"cell\": \"0.353\", \"bbox\": [587, 280, 604, 287]}, {\"cell\": \"0.454\", \"bbox\": [621, 280, 639, 287]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4246459_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}405{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td><b>CHX</b></td><td><b>CatDex</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Gold standard antiseptic</td><td>?</td></tr><tr><td>[EMPTY_CELL]</td><td>Hydrophilic</td><td>Hydrophilic</td></tr><tr><td>[EMPTY_CELL]</td><td>Cationic polybiguanide (polybiguanide)</td><td>Cationic</td></tr><tr><td>[EMPTY_CELL]</td><td>1340 g moL<sup>−1</sup></td><td>55 KD</td></tr><tr><td>[EMPTY_CELL]</td><td>1.01 g cc<sup>−1</sup></td><td>?</td></tr><tr><td>[EMPTY_CELL]</td><td>5.5–7.5</td><td>6.5</td></tr><tr><td>[EMPTY_CELL]</td><td>Blue translucent liquid</td><td>Amber translucent liquid</td></tr><tr><td>[EMPTY_CELL]</td><td>Bactericide Fungicide Antiviral</td><td>Antitumour efficacy [15, 16]</td></tr><tr><td>[EMPTY_CELL]</td><td>Electrostatic interaction with cationic lipopolysaccharides and teichoic acid of cell wall [19]</td><td>Electrostatic interaction with anionic structures of cytoplasm [15, 17]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [2, 4, 58, 15]}, {\"cell\": \"<b>CHX</b>\", \"bbox\": [188, 4, 209, 15]}, {\"cell\": \"<b>CatDex</b>\", \"bbox\": [393, 4, 423, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gold standard antiseptic\", \"bbox\": [154, 18, 244, 29]}, {\"cell\": \"?\", \"bbox\": [405, 18, 411, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 32, 39, 42]}, {\"cell\": \"Hydrophilic\", \"bbox\": [176, 32, 221, 42]}, {\"cell\": \"Hydrophilic\", \"bbox\": [385, 32, 431, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 45, 30, 56]}, {\"cell\": \"Cationic polybiguanide (polybiguanide)\", \"bbox\": [126, 45, 271, 56]}, {\"cell\": \"Cationic\", \"bbox\": [392, 45, 424, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 59, 67, 70]}, {\"cell\": \"1340 g moL<sup>−1</sup>\", \"bbox\": [174, 55, 223, 70]}, {\"cell\": \"55 KD\", \"bbox\": [396, 59, 420, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 73, 32, 83]}, {\"cell\": \"1.01 g cc<sup>−1</sup>\", \"bbox\": [181, 69, 216, 83]}, {\"cell\": \"?\", \"bbox\": [405, 73, 411, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 86, 16, 97]}, {\"cell\": \"5.5–7.5\", \"bbox\": [186, 86, 212, 97]}, {\"cell\": \"6.5\", \"bbox\": [402, 86, 414, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 100, 47, 111]}, {\"cell\": \"Blue translucent liquid\", \"bbox\": [157, 100, 240, 111]}, {\"cell\": \"Amber translucent liquid\", \"bbox\": [362, 100, 454, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 123, 33, 134]}, {\"cell\": \"Bactericide Fungicide Antiviral\", \"bbox\": [177, 113, 219, 144]}, {\"cell\": \"Antitumour efficacy [15, 16]\", \"bbox\": [358, 123, 458, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 152, 80, 163]}, {\"cell\": \"Electrostatic interaction with cationic lipopolysaccharides and teichoic acid of cell wall [19]\", \"bbox\": [103, 147, 294, 168]}, {\"cell\": \"Electrostatic interaction with anionic structures of cytoplasm [15, 17]\", \"bbox\": [317, 147, 499, 168]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5435906_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}406{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Biomarkers</b></td><td><b>Cut-off (ng/mL)</b></td><td><b>AUC</b></td><td><b>SE</b></td><td><b>95 % CI</b></td><td><b>Sensitivity</b></td><td><b>Specificity</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td colspan=\\\"8\\\">0 h</td></tr><tr><td> Prdx1</td><td>759.09</td><td>[EMPTY_CELL]</td><td>0.092</td><td>0.56–0.91</td><td>0.692</td><td>0.774</td><td>0.015</td></tr><tr><td> CA IX</td><td>0.123</td><td>[EMPTY_CELL]</td><td>0.091</td><td>0.35–0.71</td><td>0.769</td><td>0.419</td><td>0.748</td></tr><tr><td> IL-6</td><td>0.839</td><td>[EMPTY_CELL]</td><td>0.112</td><td>0.40–0.84</td><td>0.462</td><td>0.903</td><td>0.222</td></tr><tr><td> IL-8</td><td>0.333</td><td>[EMPTY_CELL]</td><td>0.101</td><td>0.33–0.72</td><td>0.308</td><td>0.839</td><td>0.807</td></tr><tr><td> IL-10</td><td>0.245</td><td>[EMPTY_CELL]</td><td>0.103</td><td>0.32–0.73</td><td>0.308</td><td>0.903</td><td>0.787</td></tr><tr><td> MCP-1</td><td>0.211</td><td>[EMPTY_CELL]</td><td>0.098</td><td>0.43–0.81</td><td>0.615</td><td>0.677</td><td>0.222</td></tr><tr><td> TNF-α</td><td>0.0013</td><td>[EMPTY_CELL]</td><td>0.090</td><td>0.48–0.83</td><td>0.462</td><td>0.839</td><td>0.114</td></tr><tr><td> IL-1β</td><td>0.019</td><td>[EMPTY_CELL]</td><td>0.104</td><td>0.40–0.81</td><td>0.308</td><td>1.000</td><td>0.298</td></tr><tr><td colspan=\\\"8\\\">24 h</td></tr><tr><td rowspan=\\\"2\\\"> Prdx1</td><td>59.78</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.059</td><td rowspan=\\\"2\\\">0.75–0.98</td><td>1.000</td><td>0.567</td><td rowspan=\\\"2\\\"><0.001</td></tr><tr><td>1027.23</td><td>0.667</td><td>[EMPTY_CELL]</td></tr><tr><td> CA IX</td><td>0.466</td><td>[EMPTY_CELL]</td><td>0.065</td><td>0.68–0.94</td><td>1.000</td><td>0.567</td><td>0.002</td></tr><tr><td> IL-6</td><td>0.984</td><td>[EMPTY_CELL]</td><td>0.062</td><td>0.75–1.00</td><td>0.750</td><td>0.900</td><td><0.001</td></tr><tr><td> IL-8</td><td>0.208</td><td>[EMPTY_CELL]</td><td>0.064</td><td>0.75–1.00</td><td>0.917</td><td>0.800</td><td><0.001</td></tr><tr><td> IL-10</td><td>0.083</td><td>[EMPTY_CELL]</td><td>0.071</td><td>0.72–1.00</td><td>0.917</td><td>0.767</td><td><0.001</td></tr><tr><td> MCP-1</td><td>1.223</td><td>[EMPTY_CELL]</td><td>0.088</td><td>0.00–1.00</td><td>0.833</td><td>0.933</td><td><0.001</td></tr><tr><td> TNF-α</td><td>0.0020</td><td>[EMPTY_CELL]</td><td>0.076</td><td>0.68–0.98</td><td>0.833</td><td>0.833</td><td>0.001</td></tr><tr><td> IL-1β</td><td>0.0043</td><td>[EMPTY_CELL]</td><td>0.081</td><td>0.58–0.90</td><td>0.667</td><td>0.700</td><td>0.018</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Biomarkers</b>\", \"bbox\": [1, 4, 42, 14]}, {\"cell\": \"<b>Cut-off (ng/mL)</b>\", \"bbox\": [72, 4, 127, 14]}, {\"cell\": \"<b>AUC</b>\", \"bbox\": [158, 4, 175, 14]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [208, 4, 218, 14]}, {\"cell\": \"<b>95 % CI</b>\", \"bbox\": [257, 4, 285, 14]}, {\"cell\": \"<b>Sensitivity</b>\", \"bbox\": [320, 4, 358, 14]}, {\"cell\": \"<b>Specificity</b>\", \"bbox\": [389, 4, 427, 14]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [457, 4, 484, 14]}, {\"cell\": \"0 h\", \"bbox\": [1, 22, 13, 32]}, {\"cell\": \" Prdx1\", \"bbox\": [5, 34, 25, 44]}, {\"cell\": \"759.09\", \"bbox\": [76, 34, 99, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 34, 177, 44]}, {\"cell\": \"0.092\", \"bbox\": [208, 34, 227, 44]}, {\"cell\": \"0.56–0.91\", \"bbox\": [257, 34, 290, 44]}, {\"cell\": \"0.692\", \"bbox\": [320, 34, 339, 44]}, {\"cell\": \"0.774\", \"bbox\": [389, 34, 408, 44]}, {\"cell\": \"0.015\", \"bbox\": [462, 34, 481, 44]}, {\"cell\": \" CA IX\", \"bbox\": [5, 46, 24, 56]}, {\"cell\": \"0.123\", \"bbox\": [84, 46, 103, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 46, 177, 56]}, {\"cell\": \"0.091\", \"bbox\": [208, 46, 227, 56]}, {\"cell\": \"0.35–0.71\", \"bbox\": [257, 46, 290, 56]}, {\"cell\": \"0.769\", \"bbox\": [320, 46, 339, 56]}, {\"cell\": \"0.419\", \"bbox\": [389, 46, 408, 56]}, {\"cell\": \"0.748\", \"bbox\": [462, 46, 481, 56]}, {\"cell\": \" IL-6\", \"bbox\": [5, 58, 18, 68]}, {\"cell\": \"0.839\", \"bbox\": [84, 58, 103, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 58, 177, 68]}, {\"cell\": \"0.112\", \"bbox\": [208, 58, 227, 68]}, {\"cell\": \"0.40–0.84\", \"bbox\": [257, 58, 290, 68]}, {\"cell\": \"0.462\", \"bbox\": [320, 58, 339, 68]}, {\"cell\": \"0.903\", \"bbox\": [389, 58, 408, 68]}, {\"cell\": \"0.222\", \"bbox\": [462, 58, 481, 68]}, {\"cell\": \" IL-8\", \"bbox\": [5, 71, 18, 80]}, {\"cell\": \"0.333\", \"bbox\": [84, 71, 103, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 71, 177, 80]}, {\"cell\": \"0.101\", \"bbox\": [208, 71, 227, 80]}, {\"cell\": \"0.33–0.72\", \"bbox\": [257, 71, 290, 80]}, {\"cell\": \"0.308\", \"bbox\": [320, 71, 339, 80]}, {\"cell\": \"0.839\", \"bbox\": [389, 71, 408, 80]}, {\"cell\": \"0.807\", \"bbox\": [462, 71, 481, 80]}, {\"cell\": \" IL-10\", \"bbox\": [5, 83, 22, 92]}, {\"cell\": \"0.245\", \"bbox\": [84, 83, 103, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 83, 177, 92]}, {\"cell\": \"0.103\", \"bbox\": [208, 83, 227, 92]}, {\"cell\": \"0.32–0.73\", \"bbox\": [257, 83, 290, 92]}, {\"cell\": \"0.308\", \"bbox\": [320, 83, 339, 92]}, {\"cell\": \"0.903\", \"bbox\": [389, 83, 408, 92]}, {\"cell\": \"0.787\", \"bbox\": [462, 83, 481, 92]}, {\"cell\": \" MCP-1\", \"bbox\": [5, 95, 28, 104]}, {\"cell\": \"0.211\", \"bbox\": [84, 95, 103, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 95, 177, 104]}, {\"cell\": \"0.098\", \"bbox\": [208, 95, 227, 104]}, {\"cell\": \"0.43–0.81\", \"bbox\": [257, 95, 290, 104]}, {\"cell\": \"0.615\", \"bbox\": [320, 95, 339, 104]}, {\"cell\": \"0.677\", \"bbox\": [389, 95, 408, 104]}, {\"cell\": \"0.222\", \"bbox\": [462, 95, 481, 104]}, {\"cell\": \" TNF-α\", \"bbox\": [5, 107, 26, 116]}, {\"cell\": \"0.0013\", \"bbox\": [84, 107, 107, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 107, 177, 116]}, {\"cell\": \"0.090\", \"bbox\": [208, 107, 227, 116]}, {\"cell\": \"0.48–0.83\", \"bbox\": [257, 107, 290, 116]}, {\"cell\": \"0.462\", \"bbox\": [320, 107, 339, 116]}, {\"cell\": \"0.839\", \"bbox\": [389, 107, 408, 116]}, {\"cell\": \"0.114\", \"bbox\": [462, 107, 481, 116]}, {\"cell\": \" IL-1β\", \"bbox\": [5, 119, 23, 128]}, {\"cell\": \"0.019\", \"bbox\": [84, 119, 103, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 119, 177, 128]}, {\"cell\": \"0.104\", \"bbox\": [208, 119, 227, 128]}, {\"cell\": \"0.40–0.81\", \"bbox\": [257, 119, 290, 128]}, {\"cell\": \"0.308\", \"bbox\": [320, 119, 339, 128]}, {\"cell\": \"1.000\", \"bbox\": [389, 119, 408, 128]}, {\"cell\": \"0.298\", \"bbox\": [462, 119, 481, 128]}, {\"cell\": \"24 h\", \"bbox\": [1, 131, 16, 140]}, {\"cell\": \" Prdx1\", \"bbox\": [5, 143, 25, 152]}, {\"cell\": \"59.78\", \"bbox\": [80, 143, 99, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 143, 177, 152]}, {\"cell\": \"0.059\", \"bbox\": [208, 143, 227, 152]}, {\"cell\": \"0.75–0.98\", \"bbox\": [257, 143, 290, 152]}, {\"cell\": \"1.000\", \"bbox\": [320, 143, 339, 152]}, {\"cell\": \"0.567\", \"bbox\": [389, 143, 408, 152]}, {\"cell\": \"<0.001\", \"bbox\": [457, 143, 481, 152]}, {\"cell\": \"1027.23\", \"bbox\": [72, 155, 99, 165]}, {\"cell\": \"0.667\", \"bbox\": [320, 155, 339, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 155, 408, 165]}, {\"cell\": \" CA IX\", \"bbox\": [5, 167, 24, 177]}, {\"cell\": \"0.466\", \"bbox\": [84, 167, 103, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 167, 177, 177]}, {\"cell\": \"0.065\", \"bbox\": [208, 167, 227, 177]}, {\"cell\": \"0.68–0.94\", \"bbox\": [257, 167, 290, 177]}, {\"cell\": \"1.000\", \"bbox\": [320, 167, 339, 177]}, {\"cell\": \"0.567\", \"bbox\": [389, 167, 408, 177]}, {\"cell\": \"0.002\", \"bbox\": [462, 167, 481, 177]}, {\"cell\": \" IL-6\", \"bbox\": [5, 179, 18, 189]}, {\"cell\": \"0.984\", \"bbox\": [84, 179, 103, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 179, 177, 189]}, {\"cell\": \"0.062\", \"bbox\": [208, 179, 227, 189]}, {\"cell\": \"0.75–1.00\", \"bbox\": [257, 179, 290, 189]}, {\"cell\": \"0.750\", \"bbox\": [320, 179, 339, 189]}, {\"cell\": \"0.900\", \"bbox\": [389, 179, 408, 189]}, {\"cell\": \"<0.001\", \"bbox\": [457, 179, 481, 189]}, {\"cell\": \" IL-8\", \"bbox\": [5, 192, 18, 201]}, {\"cell\": \"0.208\", \"bbox\": [84, 192, 103, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 192, 177, 201]}, {\"cell\": \"0.064\", \"bbox\": [208, 192, 227, 201]}, {\"cell\": \"0.75–1.00\", \"bbox\": [257, 192, 290, 201]}, {\"cell\": \"0.917\", \"bbox\": [320, 192, 339, 201]}, {\"cell\": \"0.800\", \"bbox\": [389, 192, 408, 201]}, {\"cell\": \"<0.001\", \"bbox\": [457, 192, 481, 201]}, {\"cell\": \" IL-10\", \"bbox\": [5, 204, 22, 213]}, {\"cell\": \"0.083\", \"bbox\": [84, 204, 103, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 204, 177, 213]}, {\"cell\": \"0.071\", \"bbox\": [208, 204, 227, 213]}, {\"cell\": \"0.72–1.00\", \"bbox\": [257, 204, 290, 213]}, {\"cell\": \"0.917\", \"bbox\": [320, 204, 339, 213]}, {\"cell\": \"0.767\", \"bbox\": [389, 204, 408, 213]}, {\"cell\": \"<0.001\", \"bbox\": [457, 204, 481, 213]}, {\"cell\": \" MCP-1\", \"bbox\": [5, 216, 28, 225]}, {\"cell\": \"1.223\", \"bbox\": [84, 216, 103, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 216, 177, 225]}, {\"cell\": \"0.088\", \"bbox\": [208, 216, 227, 225]}, {\"cell\": \"0.00–1.00\", \"bbox\": [257, 216, 289, 225]}, {\"cell\": \"0.833\", \"bbox\": [320, 216, 339, 225]}, {\"cell\": \"0.933\", \"bbox\": [389, 216, 408, 225]}, {\"cell\": \"<0.001\", \"bbox\": [457, 216, 481, 225]}, {\"cell\": \" TNF-α\", \"bbox\": [5, 228, 26, 237]}, {\"cell\": \"0.0020\", \"bbox\": [84, 228, 107, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 228, 177, 237]}, {\"cell\": \"0.076\", \"bbox\": [208, 228, 227, 237]}, {\"cell\": \"0.68–0.98\", \"bbox\": [257, 228, 289, 237]}, {\"cell\": \"0.833\", \"bbox\": [320, 228, 339, 237]}, {\"cell\": \"0.833\", \"bbox\": [389, 228, 408, 237]}, {\"cell\": \"0.001\", \"bbox\": [462, 228, 481, 237]}, {\"cell\": \" IL-1β\", \"bbox\": [5, 240, 23, 249]}, {\"cell\": \"0.0043\", \"bbox\": [84, 240, 107, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 240, 177, 249]}, {\"cell\": \"0.081\", \"bbox\": [208, 240, 227, 249]}, {\"cell\": \"0.58–0.90\", \"bbox\": [257, 240, 289, 249]}, {\"cell\": \"0.667\", \"bbox\": [320, 240, 339, 249]}, {\"cell\": \"0.700\", \"bbox\": [389, 240, 408, 249]}, {\"cell\": \"0.018\", \"bbox\": [462, 240, 481, 249]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4855332_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}407{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Analysis unit</b></td><td rowspan=\\\"2\\\"><b>Description</b></td><td rowspan=\\\"2\\\"><b>Area in 1911 (ha)</b></td><td colspan=\\\"3\\\"><b>Area in 2012 (ha)</b></td></tr><tr><td><b>Baseline</b></td><td><b>SC1</b></td><td><b>SC2</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">Productive forested land</td></tr><tr><td> 1</td><td>Fir</td><td>5371</td><td>4326</td><td>[EMPTY_CELL]</td><td>4830</td></tr><tr><td> 2</td><td>Fir–cedar</td><td>1048</td><td>760</td><td>[EMPTY_CELL]</td><td>964</td></tr><tr><td> 3</td><td>Fir–hemlock/Grand fir/Sitka Spruce</td><td>1097</td><td>1479</td><td>[EMPTY_CELL]</td><td>1075</td></tr><tr><td> 4</td><td>Fir–alder/maple/poplar/arbutus</td><td>9</td><td>357</td><td>[EMPTY_CELL]</td><td>57</td></tr><tr><td> 5</td><td>Cedar leading with conifer mix</td><td>35</td><td>48</td><td>[EMPTY_CELL]</td><td>55</td></tr><tr><td> 6</td><td>Hemlock</td><td>5</td><td>6</td><td>[EMPTY_CELL]</td><td>6</td></tr><tr><td> 7</td><td>Hemlock–Fir</td><td>217</td><td>247</td><td>[EMPTY_CELL]</td><td>258</td></tr><tr><td> 8</td><td>Hemlock–cedar</td><td>33</td><td>34</td><td>[EMPTY_CELL]</td><td>43</td></tr><tr><td> 9</td><td>Broadleaf greater than 75% composition</td><td>8</td><td>20</td><td>[EMPTY_CELL]</td><td>34</td></tr><tr><td> 10</td><td>Alder–conifer mix</td><td>18</td><td>13</td><td>[EMPTY_CELL]</td><td>14</td></tr><tr><td colspan=\\\"2\\\"> Total</td><td>7841</td><td>7290</td><td>7833</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Non-forest land</td></tr><tr><td colspan=\\\"2\\\"> Sooke Lake/reservoir</td><td>373 (49%)</td><td>813 (62%)</td><td>373 (49%)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> Other un-established/non-forest land</td><td>382 (51%)</td><td>492 (38%)</td><td>389 (51%)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> Total</td><td>754</td><td>1305<sup>a</sup></td><td>762</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Analysis unit</b>\", \"bbox\": [1, 4, 47, 14]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [139, 4, 182, 14]}, {\"cell\": \"<b>Area in 1911 (ha)</b>\", \"bbox\": [283, 4, 343, 14]}, {\"cell\": \"<b>Area in 2012 (ha)</b>\", \"bbox\": [357, 4, 417, 14]}, {\"cell\": \"<b>Baseline</b>\", \"bbox\": [357, 20, 388, 30]}, {\"cell\": \"<b>SC1</b>\", \"bbox\": [404, 20, 419, 30]}, {\"cell\": \"<b>SC2</b>\", \"bbox\": [451, 20, 466, 30]}, {\"cell\": \"Productive forested land\", \"bbox\": [1, 38, 80, 48]}, {\"cell\": \" 1\", \"bbox\": [5, 50, 11, 60]}, {\"cell\": \"Fir\", \"bbox\": [139, 50, 149, 60]}, {\"cell\": \"5371\", \"bbox\": [283, 50, 301, 60]}, {\"cell\": \"4326\", \"bbox\": [357, 50, 375, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 50, 421, 60]}, {\"cell\": \"4830\", \"bbox\": [451, 50, 468, 60]}, {\"cell\": \" 2\", \"bbox\": [5, 62, 11, 72]}, {\"cell\": \"Fir–cedar\", \"bbox\": [139, 62, 171, 72]}, {\"cell\": \"1048\", \"bbox\": [283, 62, 301, 72]}, {\"cell\": \"760\", \"bbox\": [357, 62, 371, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 62, 417, 72]}, {\"cell\": \"964\", \"bbox\": [451, 62, 464, 72]}, {\"cell\": \" 3\", \"bbox\": [5, 74, 11, 84]}, {\"cell\": \"Fir–hemlock/Grand fir/Sitka Spruce\", \"bbox\": [139, 74, 253, 84]}, {\"cell\": \"1097\", \"bbox\": [283, 74, 301, 84]}, {\"cell\": \"1479\", \"bbox\": [357, 74, 375, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 74, 421, 84]}, {\"cell\": \"1075\", \"bbox\": [451, 74, 468, 84]}, {\"cell\": \" 4\", \"bbox\": [5, 86, 11, 96]}, {\"cell\": \"Fir–alder/maple/poplar/arbutus\", \"bbox\": [139, 86, 243, 96]}, {\"cell\": \"9\", \"bbox\": [283, 86, 289, 96]}, {\"cell\": \"357\", \"bbox\": [357, 86, 371, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 86, 414, 96]}, {\"cell\": \"57\", \"bbox\": [451, 86, 460, 96]}, {\"cell\": \" 5\", \"bbox\": [5, 99, 11, 108]}, {\"cell\": \"Cedar leading with conifer mix\", \"bbox\": [139, 99, 239, 108]}, {\"cell\": \"35\", \"bbox\": [283, 99, 293, 108]}, {\"cell\": \"48\", \"bbox\": [357, 99, 367, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 99, 414, 108]}, {\"cell\": \"55\", \"bbox\": [451, 99, 460, 108]}, {\"cell\": \" 6\", \"bbox\": [5, 111, 11, 120]}, {\"cell\": \"Hemlock\", \"bbox\": [139, 111, 170, 120]}, {\"cell\": \"5\", \"bbox\": [283, 111, 289, 120]}, {\"cell\": \"6\", \"bbox\": [357, 111, 363, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 111, 414, 120]}, {\"cell\": \"6\", \"bbox\": [451, 111, 456, 120]}, {\"cell\": \" 7\", \"bbox\": [5, 123, 11, 132]}, {\"cell\": \"Hemlock–Fir\", \"bbox\": [139, 123, 181, 132]}, {\"cell\": \"217\", \"bbox\": [283, 123, 297, 132]}, {\"cell\": \"247\", \"bbox\": [357, 123, 371, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 123, 417, 132]}, {\"cell\": \"258\", \"bbox\": [451, 123, 464, 132]}, {\"cell\": \" 8\", \"bbox\": [5, 135, 11, 144]}, {\"cell\": \"Hemlock–cedar\", \"bbox\": [139, 135, 192, 144]}, {\"cell\": \"33\", \"bbox\": [283, 135, 293, 144]}, {\"cell\": \"34\", \"bbox\": [357, 135, 367, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 135, 413, 144]}, {\"cell\": \"43\", \"bbox\": [451, 135, 460, 144]}, {\"cell\": \" 9\", \"bbox\": [5, 147, 11, 156]}, {\"cell\": \"Broadleaf greater than 75% composition\", \"bbox\": [139, 147, 270, 156]}, {\"cell\": \"8\", \"bbox\": [283, 147, 289, 156]}, {\"cell\": \"20\", \"bbox\": [357, 147, 367, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 147, 413, 156]}, {\"cell\": \"34\", \"bbox\": [451, 147, 460, 156]}, {\"cell\": \" 10\", \"bbox\": [5, 159, 15, 168]}, {\"cell\": \"Alder–conifer mix\", \"bbox\": [139, 159, 198, 168]}, {\"cell\": \"18\", \"bbox\": [283, 159, 293, 168]}, {\"cell\": \"13\", \"bbox\": [357, 159, 367, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 159, 413, 168]}, {\"cell\": \"14\", \"bbox\": [450, 159, 460, 168]}, {\"cell\": \" Total\", \"bbox\": [5, 171, 22, 181]}, {\"cell\": \"7841\", \"bbox\": [283, 171, 301, 181]}, {\"cell\": \"7290\", \"bbox\": [357, 171, 374, 181]}, {\"cell\": \"7833\", \"bbox\": [404, 171, 421, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 171, 468, 181]}, {\"cell\": \"Non-forest land\", \"bbox\": [1, 183, 52, 193]}, {\"cell\": \" Sooke Lake/reservoir\", \"bbox\": [5, 195, 73, 205]}, {\"cell\": \"373 (49%)\", \"bbox\": [283, 195, 317, 205]}, {\"cell\": \"813 (62%)\", \"bbox\": [357, 195, 390, 205]}, {\"cell\": \"373 (49%)\", \"bbox\": [404, 195, 437, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 195, 484, 205]}, {\"cell\": \" Other un-established/non-forest land\", \"bbox\": [5, 207, 126, 217]}, {\"cell\": \"382 (51%)\", \"bbox\": [283, 207, 317, 217]}, {\"cell\": \"492 (38%)\", \"bbox\": [357, 207, 390, 217]}, {\"cell\": \"389 (51%)\", \"bbox\": [404, 207, 437, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 207, 484, 217]}, {\"cell\": \" Total\", \"bbox\": [5, 220, 22, 229]}, {\"cell\": \"754\", \"bbox\": [283, 220, 297, 229]}, {\"cell\": \"1305<sup>a</sup>\", \"bbox\": [357, 218, 377, 229]}, {\"cell\": \"762\", \"bbox\": [404, 220, 417, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 220, 468, 229]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5509570_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}408{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Parameter/Data</b></td><td><b>Symbol</b></td><td><b>Distribution</b></td><td><b>Value(mode)</b></td><td><b>cv</b></td><td><b>Unit</b></td></tr></thead><tbody><tr><td>RK2 abundance</td><td><i>D</i><sub>0</sub></td><td>lognormal</td><td>4.5</td><td>[EMPTY_CELL]</td><td>nM</td></tr><tr><td>KorA abundance</td><td>A<sub>tot</sub></td><td>lognormal</td><td>1600 [18]</td><td>[EMPTY_CELL]</td><td>nM</td></tr><tr><td>KorB abundance</td><td>B<sub>tot</sub></td><td>lognormal</td><td>400 [28]</td><td>[EMPTY_CELL]</td><td>nM</td></tr><tr><td>KorB abundance (mutant)</td><td>BM<sub>tot</sub></td><td>lognormal</td><td>920</td><td>[EMPTY_CELL]</td><td>nM</td></tr><tr><td>Scaling parameter for KorA synthesis</td><td><i>π</i><sub>X</sub></td><td>uniform</td><td>[0,1]</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>Scaling parameter for KorB synthesis</td><td><i>π</i><sub>Y</sub></td><td>uniform</td><td>[0,1]</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>KorA synthesis</td><td><i>k</i><sub>A</sub></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>s<sup>-1</sup></td></tr><tr><td>KorB synthesis</td><td><i>k</i><sub>B</sub></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>s<sup>-1</sup></td></tr><tr><td>KorA affinity to DNA</td><td><i>k</i><sub>1</sub></td><td>lognormal</td><td>12.9 [18]</td><td>[EMPTY_CELL]</td><td>nM</td></tr><tr><td>KorB affinity to DNA</td><td><i>k</i><sub>2</sub></td><td>lognormal</td><td>9.3 [22]</td><td>[EMPTY_CELL]</td><td>nM</td></tr><tr><td>KorA affinity to KorB-DNA</td><td><i>k</i><sub>3</sub></td><td>lognormal</td><td>3.1</td><td>[EMPTY_CELL]</td><td>nM</td></tr><tr><td>KorB affinity to KorA-DNA</td><td><i>k</i><sub>4</sub></td><td>lognormal</td><td>3.1 [22]</td><td>[EMPTY_CELL]</td><td>nM</td></tr><tr><td>KorA monomerization</td><td><i>σ</i><sub>A</sub></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>s<sup>-1</sup></td></tr><tr><td>KorB monomerization</td><td><i>σ</i><sub>B</sub></td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>s<sup>-1</sup></td></tr><tr><td>KorA dimerization</td><td><i>λ</i><sub>A</sub></td><td>lognormal</td><td>0.001</td><td>[EMPTY_CELL]</td><td>nM<sup>-1</sup>s<sup>-1</sup></td></tr><tr><td>KorB dimerization</td><td><i>λ</i><sub>B</sub></td><td>lognormal</td><td>0.001</td><td>[EMPTY_CELL]</td><td>nM<sup>-1</sup>s<sup>-1</sup></td></tr><tr><td>Protein degradation</td><td><i>γ</i><sub>P</sub></td><td>lognormal</td><td>0.0003875</td><td>[EMPTY_CELL]</td><td>s<sup>-1</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter/Data</b>\", \"bbox\": [48, 4, 104, 13]}, {\"cell\": \"<b>Symbol</b>\", \"bbox\": [171, 4, 199, 13]}, {\"cell\": \"<b>Distribution</b>\", \"bbox\": [235, 4, 278, 13]}, {\"cell\": \"<b>Value(mode)</b>\", \"bbox\": [313, 4, 359, 13]}, {\"cell\": \"<b>cv</b>\", \"bbox\": [397, 4, 406, 13]}, {\"cell\": \"<b>Unit</b>\", \"bbox\": [448, 4, 465, 13]}, {\"cell\": \"RK2 abundance\", \"bbox\": [50, 17, 102, 27]}, {\"cell\": \"<i>D</i><sub>0</sub>\", \"bbox\": [180, 17, 190, 27]}, {\"cell\": \"lognormal\", \"bbox\": [239, 17, 274, 27]}, {\"cell\": \"4.5\", \"bbox\": [330, 17, 341, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 17, 407, 27]}, {\"cell\": \"nM\", \"bbox\": [450, 17, 463, 27]}, {\"cell\": \"KorA abundance\", \"bbox\": [48, 29, 104, 39]}, {\"cell\": \"A<sub>tot</sub>\", \"bbox\": [179, 29, 192, 39]}, {\"cell\": \"lognormal\", \"bbox\": [239, 29, 274, 39]}, {\"cell\": \"1600 [18]\", \"bbox\": [320, 29, 352, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 29, 408, 39]}, {\"cell\": \"nM\", \"bbox\": [450, 29, 463, 39]}, {\"cell\": \"KorB abundance\", \"bbox\": [49, 41, 104, 51]}, {\"cell\": \"B<sub>tot</sub>\", \"bbox\": [179, 41, 192, 51]}, {\"cell\": \"lognormal\", \"bbox\": [239, 41, 274, 51]}, {\"cell\": \"400 [28]\", \"bbox\": [322, 41, 350, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 41, 408, 51]}, {\"cell\": \"nM\", \"bbox\": [450, 41, 463, 51]}, {\"cell\": \"KorB abundance (mutant)\", \"bbox\": [34, 53, 118, 63]}, {\"cell\": \"BM<sub>tot</sub>\", \"bbox\": [176, 53, 195, 63]}, {\"cell\": \"lognormal\", \"bbox\": [239, 53, 274, 63]}, {\"cell\": \"920\", \"bbox\": [329, 53, 343, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 53, 408, 63]}, {\"cell\": \"nM\", \"bbox\": [450, 53, 463, 63]}, {\"cell\": \"Scaling parameter for KorA synthesis\", \"bbox\": [16, 65, 136, 75]}, {\"cell\": \"<i>π</i><sub>X</sub>\", \"bbox\": [181, 67, 190, 75]}, {\"cell\": \"uniform\", \"bbox\": [243, 65, 270, 75]}, {\"cell\": \"[0,1]\", \"bbox\": [328, 65, 343, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 65, 404, 75]}, {\"cell\": \"-\", \"bbox\": [454, 65, 459, 75]}, {\"cell\": \"Scaling parameter for KorB synthesis\", \"bbox\": [17, 77, 136, 86]}, {\"cell\": \"<i>π</i><sub>Y</sub>\", \"bbox\": [181, 79, 190, 87]}, {\"cell\": \"uniform\", \"bbox\": [243, 77, 270, 86]}, {\"cell\": \"[0,1]\", \"bbox\": [328, 77, 343, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 77, 404, 86]}, {\"cell\": \"-\", \"bbox\": [454, 77, 459, 86]}, {\"cell\": \"KorA synthesis\", \"bbox\": [52, 89, 100, 98]}, {\"cell\": \"<i>k</i><sub>A</sub>\", \"bbox\": [181, 89, 190, 99]}, {\"cell\": \"-\", \"bbox\": [254, 89, 258, 98]}, {\"cell\": \"-\", \"bbox\": [334, 89, 338, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 89, 404, 98]}, {\"cell\": \"s<sup>-1</sup>\", \"bbox\": [452, 87, 461, 98]}, {\"cell\": \"KorB synthesis\", \"bbox\": [52, 101, 100, 110]}, {\"cell\": \"<i>k</i><sub>B</sub>\", \"bbox\": [181, 101, 189, 111]}, {\"cell\": \"-\", \"bbox\": [254, 101, 258, 110]}, {\"cell\": \"-\", \"bbox\": [334, 101, 338, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 101, 404, 110]}, {\"cell\": \"s<sup>-1</sup>\", \"bbox\": [452, 99, 461, 110]}, {\"cell\": \"KorA affinity to DNA\", \"bbox\": [42, 113, 110, 122]}, {\"cell\": \"<i>k</i><sub>1</sub>\", \"bbox\": [181, 113, 189, 123]}, {\"cell\": \"lognormal\", \"bbox\": [239, 113, 274, 122]}, {\"cell\": \"12.9 [18]\", \"bbox\": [321, 113, 350, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 113, 408, 122]}, {\"cell\": \"nM\", \"bbox\": [450, 113, 463, 122]}, {\"cell\": \"KorB affinity to DNA\", \"bbox\": [43, 125, 110, 134]}, {\"cell\": \"<i>k</i><sub>2</sub>\", \"bbox\": [181, 125, 189, 135]}, {\"cell\": \"lognormal\", \"bbox\": [239, 125, 274, 134]}, {\"cell\": \"9.3 [22]\", \"bbox\": [323, 125, 349, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 125, 408, 134]}, {\"cell\": \"nM\", \"bbox\": [450, 125, 463, 134]}, {\"cell\": \"KorA affinity to KorB-DNA\", \"bbox\": [34, 137, 118, 146]}, {\"cell\": \"<i>k</i><sub>3</sub>\", \"bbox\": [181, 137, 189, 147]}, {\"cell\": \"lognormal\", \"bbox\": [239, 137, 274, 146]}, {\"cell\": \"3.1\", \"bbox\": [330, 137, 341, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 137, 408, 146]}, {\"cell\": \"nM\", \"bbox\": [450, 137, 463, 146]}, {\"cell\": \"KorB affinity to KorA-DNA\", \"bbox\": [34, 149, 118, 158]}, {\"cell\": \"<i>k</i><sub>4</sub>\", \"bbox\": [181, 149, 189, 159]}, {\"cell\": \"lognormal\", \"bbox\": [239, 149, 274, 158]}, {\"cell\": \"3.1 [22]\", \"bbox\": [323, 149, 349, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 149, 408, 158]}, {\"cell\": \"nM\", \"bbox\": [450, 149, 463, 158]}, {\"cell\": \"KorA monomerization\", \"bbox\": [40, 161, 112, 170]}, {\"cell\": \"<i>σ</i><sub>A</sub>\", \"bbox\": [180, 160, 190, 171]}, {\"cell\": \"-\", \"bbox\": [254, 161, 258, 170]}, {\"cell\": \"-\", \"bbox\": [334, 161, 338, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 161, 404, 170]}, {\"cell\": \"s<sup>-1</sup>\", \"bbox\": [452, 159, 461, 170]}, {\"cell\": \"KorB monomerization\", \"bbox\": [40, 173, 112, 182]}, {\"cell\": \"<i>σ</i><sub>B</sub>\", \"bbox\": [181, 172, 190, 183]}, {\"cell\": \"-\", \"bbox\": [254, 173, 258, 182]}, {\"cell\": \"-\", \"bbox\": [334, 173, 338, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 173, 404, 182]}, {\"cell\": \"s<sup>-1</sup>\", \"bbox\": [452, 171, 461, 182]}, {\"cell\": \"KorA dimerization\", \"bbox\": [47, 185, 106, 194]}, {\"cell\": \"<i>λ</i><sub>A</sub>\", \"bbox\": [180, 184, 190, 195]}, {\"cell\": \"lognormal\", \"bbox\": [239, 185, 274, 194]}, {\"cell\": \"0.001\", \"bbox\": [327, 185, 345, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 185, 409, 194]}, {\"cell\": \"nM<sup>-1</sup>s<sup>-1</sup>\", \"bbox\": [444, 183, 469, 194]}, {\"cell\": \"KorB dimerization\", \"bbox\": [47, 197, 105, 206]}, {\"cell\": \"<i>λ</i><sub>B</sub>\", \"bbox\": [181, 196, 190, 207]}, {\"cell\": \"lognormal\", \"bbox\": [239, 197, 274, 206]}, {\"cell\": \"0.001\", \"bbox\": [327, 197, 345, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 197, 409, 206]}, {\"cell\": \"nM<sup>-1</sup>s<sup>-1</sup>\", \"bbox\": [444, 195, 469, 206]}, {\"cell\": \"Protein degradation\", \"bbox\": [43, 208, 109, 218]}, {\"cell\": \"<i>γ</i><sub>P</sub>\", \"bbox\": [181, 208, 189, 219]}, {\"cell\": \"lognormal\", \"bbox\": [239, 208, 274, 218]}, {\"cell\": \"0.0003875\", \"bbox\": [319, 208, 353, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 208, 409, 218]}, {\"cell\": \"s<sup>-1</sup>\", \"bbox\": [452, 207, 461, 218]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3199767_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}409{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"6\\\"><b><i>n</i>(%), Mean ± SD, (<i>n</i> = 548)</b></td></tr><tr><td rowspan=\\\"2\\\" colspan=\\\"2\\\"><b>Variables</b></td><td colspan=\\\"3\\\"><b>Serum 25(OH)D levels</b></td><td rowspan=\\\"2\\\"><b><i>p</i> value</b></td></tr><tr><td><b>Deficiency (<10.0 ng/ml) (<i>n</i> = 200)</b></td><td><b>Insufficiency (≥10.0, <20.0 ng/ml) (<i>n</i> = 1,476)</b></td><td><b>Sufficiency (≥20.0 ng/ml) (<i>n</i> = 620)</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>20–39</td><td>25 (12.5)</td><td>[EMPTY_CELL]</td><td>23 (3.7)</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>40–59</td><td>68 (34.0)</td><td>[EMPTY_CELL]</td><td>179 (28.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>≥60</td><td>107 (53.5)</td><td>[EMPTY_CELL]</td><td>418 (67.4)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Current smoker</td><td>7 (3.5)</td><td>81 (5.5)</td><td>[EMPTY_CELL]</td><td>0.243</td></tr><tr><td colspan=\\\"2\\\">Alcohol drinker</td><td>43 (21.5)</td><td>422 (28.6)</td><td>[EMPTY_CELL]</td><td>0.08</td></tr><tr><td colspan=\\\"2\\\">Regular exercise</td><td>9 (4.5)</td><td>132 (8.9)</td><td>[EMPTY_CELL]</td><td>0.104</td></tr><tr><td colspan=\\\"2\\\">Current menstruation</td><td>9 (4.5)</td><td>55 (3.7)</td><td>[EMPTY_CELL]</td><td>0.007</td></tr><tr><td colspan=\\\"2\\\">Hormonal contraceptives</td><td>41 (20.5)</td><td>305 (20.7)</td><td>[EMPTY_CELL]</td><td>0.68</td></tr><tr><td colspan=\\\"2\\\">Hormone-replacement therapy</td><td>7 (3.5)</td><td>140 (9.5)</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td colspan=\\\"2\\\">BMI (kg/m<sup>2</sup>)</td><td>26.18 ± 3.80</td><td>26.18 ± 3.34</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td colspan=\\\"2\\\">WM (cm)</td><td>87.32 ± 9.09</td><td>87.37 ± 7.88</td><td>[EMPTY_CELL]</td><td>0.914</td></tr><tr><td colspan=\\\"2\\\">SBP (mmHg)</td><td>131.32 ± 18.37</td><td>132.04 ± 17.41</td><td>[EMPTY_CELL]</td><td>0.729</td></tr><tr><td colspan=\\\"2\\\">DBP (mmHg)</td><td>79.51 ± 11.06</td><td>79.17 ± 10.21</td><td>[EMPTY_CELL]</td><td>0.205</td></tr><tr><td colspan=\\\"2\\\">AST (mg/dl)</td><td>21.70 ± 8.74</td><td>22.76 ± 9.20</td><td>[EMPTY_CELL]</td><td>0.149</td></tr><tr><td colspan=\\\"2\\\">ALT(mg/dl)</td><td>21.03 ± 12.68</td><td>22.06 ± 14.27</td><td>[EMPTY_CELL]</td><td>0.608</td></tr><tr><td colspan=\\\"2\\\">TC (mg/dl)</td><td>200.41 ± 40.19</td><td>202.01 ± 42.41</td><td>[EMPTY_CELL]</td><td>0.238</td></tr><tr><td colspan=\\\"2\\\">TGs (mg/dl)</td><td>207.31 ± 109.42</td><td>187.75 ± 119.22</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td colspan=\\\"2\\\">HDL-C (mg/dl)</td><td>43.09 ± 8.70</td><td>45.81 ± 9.70</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td colspan=\\\"2\\\">FPG (mg/dl)</td><td>117.72 ± 32.46</td><td>110.45 ± 29.54</td><td>[EMPTY_CELL]</td><td>0.147</td></tr><tr><td colspan=\\\"2\\\">Ferritin (μg/L)</td><td>59.07 ± 49.78</td><td>64.88 ± 48.76</td><td>[EMPTY_CELL]</td><td>0.004</td></tr><tr><td colspan=\\\"2\\\">Fe (μg/dl)</td><td>95.22 ± 37.32</td><td>98.16 ± 36.18</td><td>[EMPTY_CELL]</td><td>0.533</td></tr><tr><td colspan=\\\"2\\\">TIBC (μg/dl)</td><td>328.39 ± 54.82</td><td>323.88 ± 45.68</td><td>[EMPTY_CELL]</td><td>0.043</td></tr><tr><td colspan=\\\"2\\\">TFS (%)</td><td>29.86 ± 12.35</td><td>30.88 ± 11.76</td><td>[EMPTY_CELL]</td><td>0.344</td></tr><tr><td colspan=\\\"2\\\">Hb (g/dl)</td><td>13.18 ± 1.32</td><td>13.31 ± 1.08</td><td>[EMPTY_CELL]</td><td>0.195</td></tr><tr><td colspan=\\\"2\\\">Hct (%)</td><td>39.47 ± 3.35</td><td>39.86 ± 2.87</td><td>[EMPTY_CELL]</td><td>0.169</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>n</i>(%), Mean ± SD, (<i>n</i> = 548)</b>\", \"bbox\": [403, 0, 499, 10]}, {\"cell\": \"<b>Variables</b>\", \"bbox\": [5, 23, 38, 32]}, {\"cell\": \"<b>Serum 25(OH)D levels</b>\", \"bbox\": [243, 13, 320, 22]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [448, 23, 475, 32]}, {\"cell\": \"<b>Deficiency (<10.0 ng/ml) (<i>n</i> = 200)</b>\", \"bbox\": [143, 24, 229, 42]}, {\"cell\": \"<b>Insufficiency (≥10.0, <20.0 ng/ml) (<i>n</i> = 1,476)</b>\", \"bbox\": [239, 24, 324, 42]}, {\"cell\": \"<b>Sufficiency (≥20.0 ng/ml) (<i>n</i> = 620)</b>\", \"bbox\": [334, 24, 421, 42]}, {\"cell\": \"Age (years)\", \"bbox\": [5, 44, 46, 54]}, {\"cell\": \"20–39\", \"bbox\": [51, 44, 74, 54]}, {\"cell\": \"25 (12.5)\", \"bbox\": [170, 44, 202, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 44, 298, 54]}, {\"cell\": \"23 (3.7)\", \"bbox\": [364, 44, 391, 54]}, {\"cell\": \"<0.001\", \"bbox\": [449, 44, 474, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40–59\", \"bbox\": [52, 55, 74, 64]}, {\"cell\": \"68 (34.0)\", \"bbox\": [170, 55, 202, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 55, 300, 64]}, {\"cell\": \"179 (28.9)\", \"bbox\": [359, 55, 396, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥60\", \"bbox\": [52, 65, 66, 75]}, {\"cell\": \"107 (53.5)\", \"bbox\": [167, 65, 204, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 65, 300, 75]}, {\"cell\": \"418 (67.4)\", \"bbox\": [359, 65, 396, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Current smoker\", \"bbox\": [5, 76, 61, 85]}, {\"cell\": \"7 (3.5)\", \"bbox\": [174, 76, 197, 85]}, {\"cell\": \"81 (5.5)\", \"bbox\": [268, 76, 295, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 76, 391, 85]}, {\"cell\": \"0.243\", \"bbox\": [451, 76, 472, 85]}, {\"cell\": \"Alcohol drinker\", \"bbox\": [5, 86, 61, 96]}, {\"cell\": \"43 (21.5)\", \"bbox\": [170, 86, 202, 96]}, {\"cell\": \"422 (28.6)\", \"bbox\": [263, 86, 300, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 86, 396, 96]}, {\"cell\": \"0.08\", \"bbox\": [453, 86, 470, 96]}, {\"cell\": \"Regular exercise\", \"bbox\": [5, 97, 63, 106]}, {\"cell\": \"9 (4.5)\", \"bbox\": [174, 97, 197, 106]}, {\"cell\": \"132 (8.9)\", \"bbox\": [266, 97, 298, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 97, 391, 106]}, {\"cell\": \"0.104\", \"bbox\": [451, 97, 472, 106]}, {\"cell\": \"Current menstruation\", \"bbox\": [5, 107, 82, 117]}, {\"cell\": \"9 (4.5)\", \"bbox\": [174, 107, 197, 117]}, {\"cell\": \"55 (3.7)\", \"bbox\": [268, 107, 295, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 107, 389, 117]}, {\"cell\": \"0.007\", \"bbox\": [451, 107, 472, 117]}, {\"cell\": \"Hormonal contraceptives\", \"bbox\": [5, 118, 94, 127]}, {\"cell\": \"41 (20.5)\", \"bbox\": [170, 118, 202, 127]}, {\"cell\": \"305 (20.7)\", \"bbox\": [263, 118, 300, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 118, 396, 127]}, {\"cell\": \"0.68\", \"bbox\": [453, 118, 470, 127]}, {\"cell\": \"Hormone-replacement therapy\", \"bbox\": [5, 128, 115, 138]}, {\"cell\": \"7 (3.5)\", \"bbox\": [174, 128, 197, 138]}, {\"cell\": \"140 (9.5)\", \"bbox\": [266, 128, 298, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 128, 394, 138]}, {\"cell\": \"<0.001\", \"bbox\": [449, 128, 474, 138]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [5, 139, 47, 148]}, {\"cell\": \"26.18 ± 3.80\", \"bbox\": [162, 139, 205, 148]}, {\"cell\": \"26.18 ± 3.34\", \"bbox\": [258, 139, 301, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 139, 397, 148]}, {\"cell\": \"0.001\", \"bbox\": [451, 139, 472, 148]}, {\"cell\": \"WM (cm)\", \"bbox\": [5, 149, 38, 159]}, {\"cell\": \"87.32 ± 9.09\", \"bbox\": [162, 149, 205, 159]}, {\"cell\": \"87.37 ± 7.88\", \"bbox\": [258, 149, 301, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 149, 397, 159]}, {\"cell\": \"0.914\", \"bbox\": [451, 149, 472, 159]}, {\"cell\": \"SBP (mmHg)\", \"bbox\": [5, 160, 49, 169]}, {\"cell\": \"131.32 ± 18.37\", \"bbox\": [158, 160, 209, 169]}, {\"cell\": \"132.04 ± 17.41\", \"bbox\": [254, 160, 305, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 160, 399, 169]}, {\"cell\": \"0.729\", \"bbox\": [451, 160, 472, 169]}, {\"cell\": \"DBP (mmHg)\", \"bbox\": [5, 171, 51, 180]}, {\"cell\": \"79.51 ± 11.06\", \"bbox\": [162, 171, 209, 180]}, {\"cell\": \"79.17 ± 10.21\", \"bbox\": [258, 171, 305, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 171, 401, 180]}, {\"cell\": \"0.205\", \"bbox\": [451, 171, 472, 180]}, {\"cell\": \"AST (mg/dl)\", \"bbox\": [5, 181, 47, 190]}, {\"cell\": \"21.70 ± 8.74\", \"bbox\": [162, 181, 205, 190]}, {\"cell\": \"22.76 ± 9.20\", \"bbox\": [258, 181, 301, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 181, 397, 190]}, {\"cell\": \"0.149\", \"bbox\": [451, 181, 472, 190]}, {\"cell\": \"ALT(mg/dl)\", \"bbox\": [5, 192, 45, 201]}, {\"cell\": \"21.03 ± 12.68\", \"bbox\": [162, 192, 209, 201]}, {\"cell\": \"22.06 ± 14.27\", \"bbox\": [258, 192, 305, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 192, 401, 201]}, {\"cell\": \"0.608\", \"bbox\": [451, 192, 472, 201]}, {\"cell\": \"TC (mg/dl)\", \"bbox\": [5, 202, 42, 211]}, {\"cell\": \"200.41 ± 40.19\", \"bbox\": [158, 202, 209, 211]}, {\"cell\": \"202.01 ± 42.41\", \"bbox\": [254, 202, 305, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 202, 401, 211]}, {\"cell\": \"0.238\", \"bbox\": [451, 202, 472, 211]}, {\"cell\": \"TGs (mg/dl)\", \"bbox\": [5, 213, 46, 222]}, {\"cell\": \"207.31 ± 109.42\", \"bbox\": [158, 213, 213, 222]}, {\"cell\": \"187.75 ± 119.22\", \"bbox\": [254, 213, 309, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 213, 401, 222]}, {\"cell\": \"<0.001\", \"bbox\": [449, 213, 474, 222]}, {\"cell\": \"HDL-C (mg/dl)\", \"bbox\": [5, 223, 55, 232]}, {\"cell\": \"43.09 ± 8.70\", \"bbox\": [162, 223, 205, 232]}, {\"cell\": \"45.81 ± 9.70\", \"bbox\": [258, 223, 301, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 223, 401, 232]}, {\"cell\": \"0.001\", \"bbox\": [451, 223, 472, 232]}, {\"cell\": \"FPG (mg/dl)\", \"bbox\": [5, 234, 47, 243]}, {\"cell\": \"117.72 ± 32.46\", \"bbox\": [158, 234, 209, 243]}, {\"cell\": \"110.45 ± 29.54\", \"bbox\": [254, 234, 305, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 234, 401, 243]}, {\"cell\": \"0.147\", \"bbox\": [451, 234, 472, 243]}, {\"cell\": \"Ferritin (μg/L)\", \"bbox\": [5, 244, 54, 253]}, {\"cell\": \"59.07 ± 49.78\", \"bbox\": [162, 244, 209, 253]}, {\"cell\": \"64.88 ± 48.76\", \"bbox\": [258, 244, 305, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 244, 401, 253]}, {\"cell\": \"0.004\", \"bbox\": [451, 244, 472, 253]}, {\"cell\": \"Fe (μg/dl)\", \"bbox\": [5, 255, 39, 264]}, {\"cell\": \"95.22 ± 37.32\", \"bbox\": [162, 255, 209, 264]}, {\"cell\": \"98.16 ± 36.18\", \"bbox\": [258, 255, 305, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 255, 401, 264]}, {\"cell\": \"0.533\", \"bbox\": [451, 255, 472, 264]}, {\"cell\": \"TIBC (μg/dl)\", \"bbox\": [5, 265, 47, 274]}, {\"cell\": \"328.39 ± 54.82\", \"bbox\": [158, 265, 209, 274]}, {\"cell\": \"323.88 ± 45.68\", \"bbox\": [254, 265, 305, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 265, 401, 274]}, {\"cell\": \"0.043\", \"bbox\": [451, 265, 472, 274]}, {\"cell\": \"TFS (%)\", \"bbox\": [5, 276, 33, 285]}, {\"cell\": \"29.86 ± 12.35\", \"bbox\": [162, 276, 209, 285]}, {\"cell\": \"30.88 ± 11.76\", \"bbox\": [258, 276, 305, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 276, 401, 285]}, {\"cell\": \"0.344\", \"bbox\": [451, 276, 472, 285]}, {\"cell\": \"Hb (g/dl)\", \"bbox\": [5, 286, 37, 295]}, {\"cell\": \"13.18 ± 1.32\", \"bbox\": [162, 286, 205, 295]}, {\"cell\": \"13.31 ± 1.08\", \"bbox\": [258, 286, 301, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 286, 397, 295]}, {\"cell\": \"0.195\", \"bbox\": [451, 286, 472, 295]}, {\"cell\": \"Hct (%)\", \"bbox\": [5, 297, 33, 306]}, {\"cell\": \"39.47 ± 3.35\", \"bbox\": [162, 297, 205, 306]}, {\"cell\": \"39.86 ± 2.87\", \"bbox\": [258, 297, 301, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 297, 397, 306]}, {\"cell\": \"0.169\", \"bbox\": [451, 297, 472, 306]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5525011_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}410{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Parameter</b></td><td><b>Tumor (−), Hochuekkito (−)(<i>n</i> = 5)</b></td><td><b>Tumor (−), Hochuekkito (+)(<i>n</i> = 5)</b></td><td><b>Tumor (+), Hochuekkito (−)(<i>n</i> = 4)</b></td><td><b>Tumor (+), Hochuekkito (+)(<i>n</i> = 4)</b></td></tr></thead><tbody><tr><td>Carcass weight (g)</td><td>[EMPTY_CELL]</td><td>26.2 ± 0.29</td><td>20.2 ± 2.3*</td><td>24.2 ± 2.9<sup>††</sup></td></tr><tr><td>Gastrocnemius muscle (mg)</td><td>[EMPTY_CELL]</td><td>128 ± 8.7</td><td>115.7 ± 6.9**</td><td>148.8 ± 8.9<sup>†</sup></td></tr><tr><td>Fat tissue around testis (mg)</td><td>[EMPTY_CELL]</td><td>226.5 ± 7.3</td><td>32.2 ± 55.7*</td><td>155.4 ± 77.9<sup>††</sup></td></tr><tr><td>Hb (g/dL)</td><td>[EMPTY_CELL]</td><td>15.4 ± 1</td><td>13.5 ± 0.9**</td><td>15.3 ± 1.6</td></tr><tr><td>Hct (%)</td><td>[EMPTY_CELL]</td><td>48.2 ± 2.7</td><td>41.7 ± 2.1*</td><td>47.2 ± 5.1</td></tr><tr><td>Plt (×10<sup>4</sup>/<i>μ</i>L)</td><td>[EMPTY_CELL]</td><td>115.6 ± 20.1</td><td>38.3 ± 8.7*</td><td>37.7 ± 13.6</td></tr><tr><td>Triglyceride (mg/dL)</td><td>[EMPTY_CELL]</td><td>115 ± 14</td><td>16.8 ± 5.7*</td><td>63.8 ± 9.5<sup>††</sup></td></tr><tr><td>Glucose (mg/dL)</td><td>[EMPTY_CELL]</td><td>181.5 ± 22.3</td><td>61.7 ± 13.3*</td><td>126.6 ± 56.5</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [2, 18, 41, 29]}, {\"cell\": \"<b>Tumor (−), Hochuekkito (−)(<i>n</i> = 5)</b>\", \"bbox\": [131, 9, 195, 41]}, {\"cell\": \"<b>Tumor (−), Hochuekkito (+)(<i>n</i> = 5)</b>\", \"bbox\": [237, 9, 300, 41]}, {\"cell\": \"<b>Tumor (+), Hochuekkito (−)(<i>n</i> = 4)</b>\", \"bbox\": [343, 9, 407, 41]}, {\"cell\": \"<b>Tumor (+), Hochuekkito (+)(<i>n</i> = 4)</b>\", \"bbox\": [435, 9, 498, 41]}, {\"cell\": \"Carcass weight (g)\", \"bbox\": [2, 44, 70, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 45, 181, 56]}, {\"cell\": \"26.2 ± 0.29\", \"bbox\": [248, 45, 290, 56]}, {\"cell\": \"20.2 ± 2.3*\", \"bbox\": [353, 44, 395, 56]}, {\"cell\": \"24.2 ± 2.9<sup>††</sup>\", \"bbox\": [444, 44, 489, 56]}, {\"cell\": \"Gastrocnemius muscle (mg)\", \"bbox\": [2, 58, 106, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 59, 186, 70]}, {\"cell\": \"128 ± 8.7\", \"bbox\": [251, 59, 286, 70]}, {\"cell\": \"115.7 ± 6.9**\", \"bbox\": [349, 59, 400, 70]}, {\"cell\": \"148.8 ± 8.9<sup>†</sup>\", \"bbox\": [444, 59, 489, 70]}, {\"cell\": \"Fat tissue around testis (mg)\", \"bbox\": [2, 73, 106, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 74, 186, 85]}, {\"cell\": \"226.5 ± 7.3\", \"bbox\": [248, 74, 290, 85]}, {\"cell\": \"32.2 ± 55.7*\", \"bbox\": [351, 73, 398, 85]}, {\"cell\": \"155.4 ± 77.9<sup>††</sup>\", \"bbox\": [440, 73, 493, 85]}, {\"cell\": \"Hb (g/dL)\", \"bbox\": [2, 87, 41, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 88, 181, 99]}, {\"cell\": \"15.4 ± 1\", \"bbox\": [253, 88, 284, 99]}, {\"cell\": \"13.5 ± 0.9**\", \"bbox\": [351, 88, 398, 99]}, {\"cell\": \"15.3 ± 1.6\", \"bbox\": [448, 88, 486, 99]}, {\"cell\": \"Hct (%)\", \"bbox\": [2, 102, 34, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 103, 181, 114]}, {\"cell\": \"48.2 ± 2.7\", \"bbox\": [250, 103, 287, 114]}, {\"cell\": \"41.7 ± 2.1*\", \"bbox\": [353, 102, 395, 114]}, {\"cell\": \"47.2 ± 5.1\", \"bbox\": [448, 103, 486, 114]}, {\"cell\": \"Plt (×10<sup>4</sup>/<i>μ</i>L)\", \"bbox\": [2, 116, 54, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 117, 184, 128]}, {\"cell\": \"115.6 ± 20.1\", \"bbox\": [245, 117, 292, 128]}, {\"cell\": \"38.3 ± 8.7*\", \"bbox\": [353, 117, 395, 128]}, {\"cell\": \"37.7 ± 13.6\", \"bbox\": [446, 117, 488, 128]}, {\"cell\": \"Triglyceride (mg/dL)\", \"bbox\": [2, 131, 79, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 132, 186, 143]}, {\"cell\": \"115 ± 14\", \"bbox\": [252, 132, 285, 143]}, {\"cell\": \"16.8 ± 5.7*\", \"bbox\": [353, 131, 395, 143]}, {\"cell\": \"63.8 ± 9.5<sup>††</sup>\", \"bbox\": [444, 131, 489, 143]}, {\"cell\": \"Glucose (mg/dL)\", \"bbox\": [2, 145, 66, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 146, 186, 157]}, {\"cell\": \"181.5 ± 22.3\", \"bbox\": [245, 146, 292, 157]}, {\"cell\": \"61.7 ± 13.3*\", \"bbox\": [351, 146, 398, 157]}, {\"cell\": \"126.6 ± 56.5\", \"bbox\": [444, 146, 490, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3543823_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}411{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Rates (2010–2012)</b></td><td><b>Multicentre study</b></td><td><b>HES emergency department*</b></td><td><b>Rate ratio† (95% CI)</b></td><td><b>HES admissions</b></td><td><b>Rate ratio† (95% CI)</b></td></tr></thead><tbody><tr><td>Total</td><td>423.48</td><td>275.27</td><td>[EMPTY_CELL]</td><td>290.22</td><td>0.69 (0.59 to 0.80)</td></tr><tr><td>Male</td><td>282.85</td><td>245.21</td><td>[EMPTY_CELL]</td><td>214.25</td><td>0.76 (0.63 to 0.90)</td></tr><tr><td>Female</td><td>560.94</td><td>304.97</td><td>[EMPTY_CELL]</td><td>364.31</td><td>0.65 (0.57 to 0.74)</td></tr><tr><td>0–24 years</td><td>438.24</td><td>278.58</td><td>[EMPTY_CELL]</td><td>260.24</td><td>0.59 (0.51 to 0.69)</td></tr><tr><td>25–34 years</td><td>449.06</td><td>249.55</td><td>[EMPTY_CELL]</td><td>311.33</td><td>0.69 (0.60 to 0.80)</td></tr><tr><td>35–54 years</td><td>587.25</td><td>425.27</td><td>[EMPTY_CELL]</td><td>465.96</td><td>0.79 (0.70 to 0.90)</td></tr><tr><td>55+ years</td><td>126.27</td><td>77.25</td><td>[EMPTY_CELL]</td><td>100.27</td><td>0.79 (0.61 to 1.03)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Rates (2010–2012)</b>\", \"bbox\": [1, 5, 57, 27]}, {\"cell\": \"<b>Multicentre study</b>\", \"bbox\": [73, 5, 122, 27]}, {\"cell\": \"<b>HES emergency department*</b>\", \"bbox\": [148, 5, 218, 27]}, {\"cell\": \"<b>Rate ratio† (95% CI)</b>\", \"bbox\": [257, 5, 305, 27]}, {\"cell\": \"<b>HES admissions</b>\", \"bbox\": [346, 5, 397, 27]}, {\"cell\": \"<b>Rate ratio† (95% CI)</b>\", \"bbox\": [419, 5, 466, 27]}, {\"cell\": \"Total\", \"bbox\": [1, 31, 22, 42]}, {\"cell\": \"423.48\", \"bbox\": [73, 31, 102, 42]}, {\"cell\": \"275.27\", \"bbox\": [148, 31, 177, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 31, 332, 42]}, {\"cell\": \"290.22\", \"bbox\": [346, 31, 376, 42]}, {\"cell\": \"0.69 (0.59 to 0.80)\", \"bbox\": [419, 31, 494, 42]}, {\"cell\": \"Male\", \"bbox\": [1, 42, 22, 53]}, {\"cell\": \"282.85\", \"bbox\": [73, 42, 102, 53]}, {\"cell\": \"245.21\", \"bbox\": [148, 42, 177, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 42, 332, 53]}, {\"cell\": \"214.25\", \"bbox\": [346, 42, 376, 53]}, {\"cell\": \"0.76 (0.63 to 0.90)\", \"bbox\": [419, 42, 494, 53]}, {\"cell\": \"Female\", \"bbox\": [1, 53, 32, 64]}, {\"cell\": \"560.94\", \"bbox\": [73, 53, 102, 64]}, {\"cell\": \"304.97\", \"bbox\": [148, 53, 177, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 53, 332, 64]}, {\"cell\": \"364.31\", \"bbox\": [346, 53, 376, 64]}, {\"cell\": \"0.65 (0.57 to 0.74)\", \"bbox\": [419, 53, 494, 64]}, {\"cell\": \"0–24 years\", \"bbox\": [1, 64, 46, 75]}, {\"cell\": \"438.24\", \"bbox\": [73, 64, 102, 75]}, {\"cell\": \"278.58\", \"bbox\": [148, 64, 177, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 64, 332, 75]}, {\"cell\": \"260.24\", \"bbox\": [346, 64, 376, 75]}, {\"cell\": \"0.59 (0.51 to 0.69)\", \"bbox\": [419, 64, 494, 75]}, {\"cell\": \"25–34 years\", \"bbox\": [1, 75, 51, 86]}, {\"cell\": \"449.06\", \"bbox\": [73, 75, 102, 86]}, {\"cell\": \"249.55\", \"bbox\": [148, 75, 177, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 75, 332, 86]}, {\"cell\": \"311.33\", \"bbox\": [346, 75, 376, 86]}, {\"cell\": \"0.69 (0.60 to 0.80)\", \"bbox\": [419, 75, 494, 86]}, {\"cell\": \"35–54 years\", \"bbox\": [1, 86, 51, 97]}, {\"cell\": \"587.25\", \"bbox\": [73, 86, 102, 97]}, {\"cell\": \"425.27\", \"bbox\": [148, 86, 177, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 86, 332, 97]}, {\"cell\": \"465.96\", \"bbox\": [346, 86, 376, 97]}, {\"cell\": \"0.79 (0.70 to 0.90)\", \"bbox\": [419, 86, 494, 97]}, {\"cell\": \"55+ years\", \"bbox\": [1, 97, 42, 108]}, {\"cell\": \"126.27\", \"bbox\": [73, 97, 102, 108]}, {\"cell\": \"77.25\", \"bbox\": [153, 97, 177, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 97, 332, 108]}, {\"cell\": \"100.27\", \"bbox\": [346, 97, 376, 108]}, {\"cell\": \"0.79 (0.61 to 1.03)\", \"bbox\": [419, 97, 494, 108]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4762081_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}412{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Caption</b></td><td><b>PM<sub>2.5</sub></b></td><td><b>PM<sub>10</sub></b></td><td><b>SO<sub>2</sub></b></td><td><b>NO<sub>2</sub></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>−0.512 (−1.24, 0.221)</td><td>−0.301 (−0.892, 0.294)</td><td>−1.149 (−2.420, 0.139)</td><td>−1.540 (−3.690, 0.658)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.807 (0.051, 1.557) *</td><td>0.612 (0.105, 1.117) *</td><td>1.824 (−0.278, 3.969)</td><td>3.467 (0.689, 6.167) *</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.681 (−1.834, 0.485)</td><td>−0.369 (−1.130, 0.398)</td><td>2.142 (0.204, 4.118) *</td><td>−1.422 (−4.223, 1.460)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.199 (−0.355, 0.755)</td><td>0.315 (−0.067, 0.700)</td><td>2.407 (0.834, 4.004) *</td><td>−1.230 (−3.470, 1.062)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.533 (−0.097, 1.167)</td><td>0.373 (−0.017, 0.764)</td><td>1.167 (−0.279, 2.633)</td><td>1.939 (0.052, 3.924) *</td></tr><tr><td>[EMPTY_CELL]</td><td>0.754 (0.182, 1.330) *</td><td>0.624 (0.257, 0.993) *</td><td>1.796 (0.666, 2.938) *</td><td>1.652 (−0.781, 4.145)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.989 (−0.099, 2.090)</td><td>0.650 (−0.143, 1.450)</td><td>1.989 (−0.01, 4.029)</td><td>3.134 (−0.101, 6.474)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.492 (−0.030, 1.016)</td><td>−0.247 (−0.619, 0.127)</td><td>1.235 (−0.256, 2.747)</td><td>−1.928 (−3.946, 0.133)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.628 (0.141, 1.118) *</td><td>0.404 (0.088, 0.722) *</td><td>2.033 (0.817, 3.263) *</td><td>0.752 (−0.535, 2.056)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.425 (−0.291, 1.146)</td><td>0.391 (−0.076, 0.859)</td><td>2.933 (0.609, 5.311) *</td><td>2.715 (0.481, 4.998) *</td></tr><tr><td>[EMPTY_CELL]</td><td>0.631 (−0.608, 1.886)</td><td>0.574 (−0.329, 1.485)</td><td>2.840 (−0.614, 6.413)</td><td>2.175 (−1.222, 5.689)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.716 (−0.035, 1.473)</td><td>0.271 (−0.165, 0.709)</td><td>1.448 (−0.171, 3.094)</td><td>0.851 (−1.346, 3.096)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.414 (−0.097, 0.929)</td><td>0.360 (0.016, 0.706) *</td><td>0.612 (−0.299, 1.532)</td><td>0.744 (−0.755, 2.266)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.282 (−1.049, 1.631)</td><td>−0.165 (−0.914, 0.590)</td><td>−1.844 (−5.290, 1.727)</td><td>−2.375 (−5.177, 0.510)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.732 (−0.185, 1.657)</td><td>0.538 (−0.092, 1.173)</td><td>2.216 (−0.314, 4.809)</td><td>1.011 (−0.993, 3.056)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.747 (0.041, 1.457) *</td><td>0.501 (0.026, 0.979) *</td><td>1.279 (−0.346, 2.931)</td><td>2.034 (−0.571, 4.707)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.627 (−0.084, 1.343)</td><td>0.329 (−0.200, 0.862)</td><td>1.050 (0.027, 2.082) *</td><td>1.096 (−1.001, 3.238)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Caption</b>\", \"bbox\": [15, 4, 40, 12]}, {\"cell\": \"<b>PM<sub>2.5</sub></b>\", \"bbox\": [88, 4, 106, 12]}, {\"cell\": \"<b>PM<sub>10</sub></b>\", \"bbox\": [175, 4, 192, 12]}, {\"cell\": \"<b>SO<sub>2</sub></b>\", \"bbox\": [264, 4, 278, 12]}, {\"cell\": \"<b>NO<sub>2</sub></b>\", \"bbox\": [353, 4, 368, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 15, 40, 23]}, {\"cell\": \"−0.512 (−1.24, 0.221)\", \"bbox\": [67, 15, 127, 23]}, {\"cell\": \"−0.301 (−0.892, 0.294)\", \"bbox\": [152, 15, 216, 23]}, {\"cell\": \"−1.149 (−2.420, 0.139)\", \"bbox\": [239, 15, 303, 23]}, {\"cell\": \"−1.540 (−3.690, 0.658)\", \"bbox\": [329, 15, 393, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 22, 39, 31]}, {\"cell\": \"0.807 (0.051, 1.557) *\", \"bbox\": [68, 22, 126, 31]}, {\"cell\": \"0.612 (0.105, 1.117) *\", \"bbox\": [155, 22, 213, 31]}, {\"cell\": \"1.824 (−0.278, 3.969)\", \"bbox\": [242, 22, 300, 31]}, {\"cell\": \"3.467 (0.689, 6.167) *\", \"bbox\": [332, 22, 389, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 30, 42, 38]}, {\"cell\": \"−0.681 (−1.834, 0.485)\", \"bbox\": [65, 30, 129, 38]}, {\"cell\": \"−0.369 (−1.130, 0.398)\", \"bbox\": [152, 30, 216, 38]}, {\"cell\": \"2.142 (0.204, 4.118) *\", \"bbox\": [242, 30, 300, 38]}, {\"cell\": \"−1.422 (−4.223, 1.460)\", \"bbox\": [329, 30, 393, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 38, 36, 46]}, {\"cell\": \"0.199 (−0.355, 0.755)\", \"bbox\": [68, 38, 126, 46]}, {\"cell\": \"0.315 (−0.067, 0.700)\", \"bbox\": [155, 38, 213, 46]}, {\"cell\": \"2.407 (0.834, 4.004) *\", \"bbox\": [242, 38, 300, 46]}, {\"cell\": \"−1.230 (−3.470, 1.062)\", \"bbox\": [329, 38, 393, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 45, 36, 54]}, {\"cell\": \"0.533 (−0.097, 1.167)\", \"bbox\": [68, 45, 126, 54]}, {\"cell\": \"0.373 (−0.017, 0.764)\", \"bbox\": [155, 45, 213, 54]}, {\"cell\": \"1.167 (−0.279, 2.633)\", \"bbox\": [242, 45, 300, 54]}, {\"cell\": \"1.939 (0.052, 3.924) *\", \"bbox\": [332, 45, 389, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 53, 37, 61]}, {\"cell\": \"0.754 (0.182, 1.330) *\", \"bbox\": [68, 53, 126, 61]}, {\"cell\": \"0.624 (0.257, 0.993) *\", \"bbox\": [155, 53, 213, 61]}, {\"cell\": \"1.796 (0.666, 2.938) *\", \"bbox\": [242, 53, 300, 61]}, {\"cell\": \"1.652 (−0.781, 4.145)\", \"bbox\": [331, 53, 390, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 61, 37, 69]}, {\"cell\": \"0.989 (−0.099, 2.090)\", \"bbox\": [68, 61, 126, 69]}, {\"cell\": \"0.650 (−0.143, 1.450)\", \"bbox\": [155, 61, 213, 69]}, {\"cell\": \"1.989 (−0.01, 4.029)\", \"bbox\": [243, 61, 299, 69]}, {\"cell\": \"3.134 (−0.101, 6.474)\", \"bbox\": [331, 61, 390, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 69, 43, 77]}, {\"cell\": \"0.492 (−0.030, 1.016)\", \"bbox\": [68, 69, 126, 77]}, {\"cell\": \"−0.247 (−0.619, 0.127)\", \"bbox\": [152, 69, 216, 77]}, {\"cell\": \"1.235 (−0.256, 2.747)\", \"bbox\": [242, 69, 300, 77]}, {\"cell\": \"−1.928 (−3.946, 0.133)\", \"bbox\": [329, 69, 393, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 76, 36, 85]}, {\"cell\": \"0.628 (0.141, 1.118) *\", \"bbox\": [68, 76, 126, 85]}, {\"cell\": \"0.404 (0.088, 0.722) *\", \"bbox\": [155, 76, 213, 85]}, {\"cell\": \"2.033 (0.817, 3.263) *\", \"bbox\": [242, 76, 300, 85]}, {\"cell\": \"0.752 (−0.535, 2.056)\", \"bbox\": [331, 76, 390, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 84, 41, 92]}, {\"cell\": \"0.425 (−0.291, 1.146)\", \"bbox\": [68, 84, 126, 92]}, {\"cell\": \"0.391 (−0.076, 0.859)\", \"bbox\": [155, 84, 213, 92]}, {\"cell\": \"2.933 (0.609, 5.311) *\", \"bbox\": [242, 84, 300, 92]}, {\"cell\": \"2.715 (0.481, 4.998) *\", \"bbox\": [332, 84, 389, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 92, 38, 100]}, {\"cell\": \"0.631 (−0.608, 1.886)\", \"bbox\": [68, 92, 126, 100]}, {\"cell\": \"0.574 (−0.329, 1.485)\", \"bbox\": [155, 92, 213, 100]}, {\"cell\": \"2.840 (−0.614, 6.413)\", \"bbox\": [242, 92, 300, 100]}, {\"cell\": \"2.175 (−1.222, 5.689)\", \"bbox\": [331, 92, 390, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 99, 36, 108]}, {\"cell\": \"0.716 (−0.035, 1.473)\", \"bbox\": [68, 99, 126, 108]}, {\"cell\": \"0.271 (−0.165, 0.709)\", \"bbox\": [155, 99, 213, 108]}, {\"cell\": \"1.448 (−0.171, 3.094)\", \"bbox\": [242, 99, 300, 108]}, {\"cell\": \"0.851 (−1.346, 3.096)\", \"bbox\": [331, 99, 390, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 107, 40, 115]}, {\"cell\": \"0.414 (−0.097, 0.929)\", \"bbox\": [68, 107, 126, 115]}, {\"cell\": \"0.360 (0.016, 0.706) *\", \"bbox\": [155, 107, 213, 115]}, {\"cell\": \"0.612 (−0.299, 1.532)\", \"bbox\": [242, 107, 300, 115]}, {\"cell\": \"0.744 (−0.755, 2.266)\", \"bbox\": [331, 107, 390, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 115, 38, 123]}, {\"cell\": \"0.282 (−1.049, 1.631)\", \"bbox\": [68, 115, 126, 123]}, {\"cell\": \"−0.165 (−0.914, 0.590)\", \"bbox\": [152, 115, 216, 123]}, {\"cell\": \"−1.844 (−5.290, 1.727)\", \"bbox\": [239, 115, 303, 123]}, {\"cell\": \"−2.375 (−5.177, 0.510)\", \"bbox\": [329, 115, 393, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 122, 37, 131]}, {\"cell\": \"0.732 (−0.185, 1.657)\", \"bbox\": [68, 122, 126, 131]}, {\"cell\": \"0.538 (−0.092, 1.173)\", \"bbox\": [155, 122, 213, 131]}, {\"cell\": \"2.216 (−0.314, 4.809)\", \"bbox\": [242, 122, 300, 131]}, {\"cell\": \"1.011 (−0.993, 3.056)\", \"bbox\": [331, 122, 390, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 130, 44, 139]}, {\"cell\": \"0.747 (0.041, 1.457) *\", \"bbox\": [68, 130, 126, 139]}, {\"cell\": \"0.501 (0.026, 0.979) *\", \"bbox\": [155, 130, 213, 139]}, {\"cell\": \"1.279 (−0.346, 2.931)\", \"bbox\": [242, 130, 300, 139]}, {\"cell\": \"2.034 (−0.571, 4.707)\", \"bbox\": [331, 130, 390, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 138, 35, 146]}, {\"cell\": \"0.627 (−0.084, 1.343)\", \"bbox\": [68, 138, 126, 146]}, {\"cell\": \"0.329 (−0.200, 0.862)\", \"bbox\": [155, 138, 213, 146]}, {\"cell\": \"1.050 (0.027, 2.082) *\", \"bbox\": [242, 138, 300, 146]}, {\"cell\": \"1.096 (−1.001, 3.238)\", \"bbox\": [331, 138, 390, 146]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5923816_011_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}413{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variables</b></td><td colspan=\\\"2\\\"><b>New admissions</b></td><td colspan=\\\"2\\\"><b>Total inpatient days</b></td><td colspan=\\\"2\\\"><b>Involuntary inpatient days</b></td></tr><tr><td><b>Regression coefficient (SE)</b></td><td><b><i>p</i>-value</b></td><td><b>Regression coefficient (SE)</b></td><td><b><i>p</i>-value</b></td><td><b>Regression coefficient (SE)</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>Problematic substance use (Y/N)</td><td>0.35 (0.91)</td><td>0.698</td><td>−113.00 (151.19)</td><td>0.456</td><td>56.30 (30.21)</td><td>[EMPTY_CELL]</td></tr><tr><td>BPRS Positive symptoms</td><td>0.35 (0.45)</td><td>0.439</td><td>−11.01 (16.23)</td><td>0.499</td><td>−13.93 (14.78)</td><td>[EMPTY_CELL]</td></tr><tr><td>BPRS negative symptoms</td><td>−0.45 (0.38)</td><td>0.230</td><td>19.83 (13.97)</td><td>0.159</td><td>17.70 (12.71)</td><td>[EMPTY_CELL]</td></tr><tr><td>BPRS agitation mania</td><td>0.56 (0.51)</td><td>0.277</td><td>−34.80 (19.49)</td><td>0.077</td><td>−35.55 (17.35)</td><td>[EMPTY_CELL]</td></tr><tr><td>BPRS anxiety/depressive symptoms</td><td>−0.88 (0.43)</td><td>0.042</td><td>−20.58 (15.24)</td><td>0.180</td><td>−19.15 (14.18)</td><td>[EMPTY_CELL]</td></tr><tr><td>GAF-S</td><td>0.16 (0.07)</td><td>0.027</td><td>3.46 (3.38)</td><td>0.308</td><td>−2.45 (2.36)</td><td>[EMPTY_CELL]</td></tr><tr><td>GAF-F</td><td>−0.12 (0.08)</td><td>0.151</td><td>−9.18 (4.38)</td><td>0.037</td><td>−0.68 (2.80)</td><td>[EMPTY_CELL]</td></tr><tr><td>PSF</td><td>–</td><td>–</td><td>15.02 (11.40)</td><td>0.191</td><td>8.68 (10.16)</td><td>[EMPTY_CELL]</td></tr><tr><td>Age</td><td>0.01 (0.04)</td><td>0.819</td><td>−1.95 (1.56)</td><td>0.214</td><td>−0.46 (1.45)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender</td><td>−0.58 (0.89)</td><td>0.514</td><td>51.78 (32.46)</td><td>0.114</td><td>53.40 (29.41)</td><td>[EMPTY_CELL]</td></tr><tr><td>Problematic substance use*GAF-S</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−8.25 (4.52)</td><td>0.071*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Problematic substance use*GAF-F</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>12.31 (5.77)</td><td>0.035*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>New admissions</b>\", \"bbox\": [121, 4, 175, 13]}, {\"cell\": \"<b>Total inpatient days</b>\", \"bbox\": [244, 4, 309, 13]}, {\"cell\": \"<b>Involuntary inpatient days</b>\", \"bbox\": [368, 4, 453, 13]}, {\"cell\": \"<b>Regression coefficient (SE)</b>\", \"bbox\": [121, 17, 207, 27]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [213, 17, 238, 27]}, {\"cell\": \"<b>Regression coefficient (SE)</b>\", \"bbox\": [244, 17, 330, 27]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [336, 17, 361, 27]}, {\"cell\": \"<b>Regression coefficient (SE)</b>\", \"bbox\": [368, 17, 453, 27]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"Problematic substance use (Y/N)\", \"bbox\": [1, 30, 106, 40]}, {\"cell\": \"0.35 (0.91)\", \"bbox\": [149, 30, 183, 40]}, {\"cell\": \"0.698\", \"bbox\": [216, 30, 235, 40]}, {\"cell\": \"−113.00 (151.19)\", \"bbox\": [260, 30, 314, 40]}, {\"cell\": \"0.456\", \"bbox\": [338, 30, 357, 40]}, {\"cell\": \"56.30 (30.21)\", \"bbox\": [392, 30, 434, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 30, 481, 40]}, {\"cell\": \"BPRS Positive symptoms\", \"bbox\": [1, 44, 80, 54]}, {\"cell\": \"0.35 (0.45)\", \"bbox\": [149, 44, 183, 54]}, {\"cell\": \"0.439\", \"bbox\": [216, 44, 235, 54]}, {\"cell\": \"−11.01 (16.23)\", \"bbox\": [264, 44, 310, 54]}, {\"cell\": \"0.499\", \"bbox\": [338, 44, 357, 54]}, {\"cell\": \"−13.93 (14.78)\", \"bbox\": [387, 44, 434, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 44, 481, 54]}, {\"cell\": \"BPRS negative symptoms\", \"bbox\": [1, 58, 84, 68]}, {\"cell\": \"−0.45 (0.38)\", \"bbox\": [145, 58, 183, 68]}, {\"cell\": \"0.230\", \"bbox\": [216, 58, 235, 68]}, {\"cell\": \"19.83 (13.97)\", \"bbox\": [269, 58, 310, 68]}, {\"cell\": \"0.159\", \"bbox\": [338, 58, 357, 68]}, {\"cell\": \"17.70 (12.71)\", \"bbox\": [392, 58, 434, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 58, 481, 68]}, {\"cell\": \"BPRS agitation mania\", \"bbox\": [1, 72, 71, 82]}, {\"cell\": \"0.56 (0.51)\", \"bbox\": [149, 72, 183, 82]}, {\"cell\": \"0.277\", \"bbox\": [216, 72, 235, 82]}, {\"cell\": \"−34.80 (19.49)\", \"bbox\": [264, 72, 310, 82]}, {\"cell\": \"0.077\", \"bbox\": [338, 72, 357, 82]}, {\"cell\": \"−35.55 (17.35)\", \"bbox\": [387, 72, 434, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 72, 481, 82]}, {\"cell\": \"BPRS anxiety/depressive symptoms\", \"bbox\": [1, 86, 115, 96]}, {\"cell\": \"−0.88 (0.43)\", \"bbox\": [145, 86, 183, 96]}, {\"cell\": \"0.042\", \"bbox\": [216, 86, 235, 96]}, {\"cell\": \"−20.58 (15.24)\", \"bbox\": [264, 86, 310, 96]}, {\"cell\": \"0.180\", \"bbox\": [338, 86, 357, 96]}, {\"cell\": \"−19.15 (14.18)\", \"bbox\": [387, 86, 434, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 86, 481, 96]}, {\"cell\": \"GAF-S\", \"bbox\": [1, 100, 22, 110]}, {\"cell\": \"0.16 (0.07)\", \"bbox\": [149, 100, 183, 110]}, {\"cell\": \"0.027\", \"bbox\": [216, 100, 235, 110]}, {\"cell\": \"3.46 (3.38)\", \"bbox\": [272, 100, 307, 110]}, {\"cell\": \"0.308\", \"bbox\": [338, 100, 357, 110]}, {\"cell\": \"−2.45 (2.36)\", \"bbox\": [391, 100, 430, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 100, 481, 110]}, {\"cell\": \"GAF-F\", \"bbox\": [1, 114, 22, 124]}, {\"cell\": \"−0.12 (0.08)\", \"bbox\": [145, 114, 183, 124]}, {\"cell\": \"0.151\", \"bbox\": [216, 114, 235, 124]}, {\"cell\": \"−9.18 (4.38)\", \"bbox\": [268, 114, 307, 124]}, {\"cell\": \"0.037\", \"bbox\": [338, 114, 357, 124]}, {\"cell\": \"−0.68 (2.80)\", \"bbox\": [391, 114, 430, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 114, 481, 124]}, {\"cell\": \"PSF\", \"bbox\": [1, 128, 14, 138]}, {\"cell\": \"–\", \"bbox\": [121, 132, 127, 136]}, {\"cell\": \"–\", \"bbox\": [213, 132, 219, 136]}, {\"cell\": \"15.02 (11.40)\", \"bbox\": [269, 128, 310, 138]}, {\"cell\": \"0.191\", \"bbox\": [338, 128, 357, 138]}, {\"cell\": \"8.68 (10.16)\", \"bbox\": [396, 128, 434, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 128, 481, 138]}, {\"cell\": \"Age\", \"bbox\": [1, 142, 15, 152]}, {\"cell\": \"0.01 (0.04)\", \"bbox\": [149, 142, 183, 152]}, {\"cell\": \"0.819\", \"bbox\": [216, 142, 235, 152]}, {\"cell\": \"−1.95 (1.56)\", \"bbox\": [268, 142, 307, 152]}, {\"cell\": \"0.214\", \"bbox\": [338, 142, 357, 152]}, {\"cell\": \"−0.46 (1.45)\", \"bbox\": [391, 142, 430, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 142, 481, 152]}, {\"cell\": \"Gender\", \"bbox\": [1, 156, 26, 166]}, {\"cell\": \"−0.58 (0.89)\", \"bbox\": [145, 156, 183, 166]}, {\"cell\": \"0.514\", \"bbox\": [216, 156, 235, 166]}, {\"cell\": \"51.78 (32.46)\", \"bbox\": [269, 156, 310, 166]}, {\"cell\": \"0.114\", \"bbox\": [338, 156, 357, 166]}, {\"cell\": \"53.40 (29.41)\", \"bbox\": [392, 156, 434, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 156, 481, 166]}, {\"cell\": \"Problematic substance use*GAF-S\", \"bbox\": [1, 170, 110, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−8.25 (4.52)\", \"bbox\": [268, 170, 307, 180]}, {\"cell\": \"0.071*\", \"bbox\": [338, 170, 360, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Problematic substance use*GAF-F\", \"bbox\": [1, 184, 110, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12.31 (5.77)\", \"bbox\": [269, 184, 307, 194]}, {\"cell\": \"0.035*\", \"bbox\": [338, 184, 360, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4855443_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}414{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Licensed within 12 months of state minimum age</b></td><td colspan=\\\"2\\\"><b>Licensed before 18<sup>th</sup> birthday</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Unadjusted %</b></td><td><b>Adjusted prevalence ratio* (95% CI)</b></td><td><b>Unadjusted %</b></td><td><b>Adjusted prevalence ratio* (95% CI)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>44</td><td>[EMPTY_CELL]</td><td>54</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td><td>1 [Reference]</td><td>56</td><td>1 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>1.01 (0.80–1.27)</td><td>52</td><td>0.95 (0.79–1.15)</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td><td>1.09 (0.88–1.35)</td><td>53</td><td>1.02 (0.86–1.21)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>1 [Reference]</td><td>51</td><td>1 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>46</td><td>1.01 (0.84–1.21)</td><td>57</td><td>1.05 (0.91–1.22)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>48</td><td>1 [Reference]</td><td>50</td><td>1 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>56</td><td>1.21 (0.95–1.54)</td><td>68</td><td>1.48 (1.19–1.85)</td></tr><tr><td>[EMPTY_CELL]</td><td>38</td><td>1.01 (0.77–1.32)</td><td>51</td><td>1.30 (1.03–1.63)</td></tr><tr><td>[EMPTY_CELL]</td><td>39</td><td>0.98 (0.74–1.29)</td><td>49</td><td>1.23 (0.97–1.55)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>57</td><td>1 [Reference]</td><td>69</td><td>1 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>0.87 (0.63–1.20)</td><td>50</td><td>0.82 (0.64–1.05)</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td><td>0.84 (0.62–1.15)</td><td>56</td><td>0.84 (0.66–1.07)</td></tr><tr><td>[EMPTY_CELL]</td><td>47</td><td>0.97 (0.71–1.33)</td><td>54</td><td>0.89 (0.70–1.14)</td></tr><tr><td>[EMPTY_CELL]</td><td>34</td><td>0.80 (0.56–1.14)</td><td>48</td><td>0.86 (0.67–1.11)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>16</td><td>0.28 (0.17–0.47)</td><td>25</td><td>0.37 (0.25–0.55)</td></tr><tr><td>[EMPTY_CELL]</td><td>27</td><td>0.50 (0.36–0.71)</td><td>34</td><td>0.54 (0.41–0.70)</td></tr><tr><td>[EMPTY_CELL]</td><td>44</td><td>0.72 (0.54–0.95)</td><td>52</td><td>0.68 (0.54–0.85)</td></tr><tr><td>[EMPTY_CELL]</td><td>52</td><td>0.81 (0.65–1.01)</td><td>64</td><td>0.81 (0.68–0.96)</td></tr><tr><td>[EMPTY_CELL]</td><td>67</td><td>1 [Reference]</td><td>79</td><td>1 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>56</td><td>1 [Reference]</td><td>67</td><td>1 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>0.57 (0.36–0.90)</td><td>37</td><td>0.67 (0.48–0.93)</td></tr><tr><td>[EMPTY_CELL]</td><td>46</td><td>0.94 (0.69–1.28)</td><td>51</td><td>0.87 (0.67–1.13)</td></tr><tr><td>[EMPTY_CELL]</td><td>21</td><td>0.57 (0.38–0.87)</td><td>29</td><td>0.60 (0.45–0.81)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Licensed within 12 months of state minimum age</b>\", \"bbox\": [171, 4, 295, 22]}, {\"cell\": \"<b>Licensed before 18<sup>th</sup> birthday</b>\", \"bbox\": [339, 2, 444, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Unadjusted %</b>\", \"bbox\": [171, 35, 221, 45]}, {\"cell\": \"<b>Adjusted prevalence ratio* (95% CI)</b>\", \"bbox\": [243, 26, 317, 45]}, {\"cell\": \"<b>Unadjusted %</b>\", \"bbox\": [339, 35, 389, 45]}, {\"cell\": \"<b>Adjusted prevalence ratio* (95% CI)</b>\", \"bbox\": [411, 26, 484, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 48, 58, 58]}, {\"cell\": \"44\", \"bbox\": [171, 48, 180, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"54\", \"bbox\": [339, 48, 348, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 41, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 76, 52, 86]}, {\"cell\": \"45\", \"bbox\": [171, 76, 180, 86]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 76, 287, 86]}, {\"cell\": \"56\", \"bbox\": [339, 76, 348, 86]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 76, 455, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 90, 52, 100]}, {\"cell\": \"42\", \"bbox\": [171, 90, 180, 100]}, {\"cell\": \"1.01 (0.80–1.27)\", \"bbox\": [243, 90, 294, 100]}, {\"cell\": \"52\", \"bbox\": [339, 90, 348, 100]}, {\"cell\": \"0.95 (0.79–1.15)\", \"bbox\": [411, 90, 462, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 104, 52, 114]}, {\"cell\": \"45\", \"bbox\": [171, 104, 180, 114]}, {\"cell\": \"1.09 (0.88–1.35)\", \"bbox\": [243, 104, 294, 114]}, {\"cell\": \"53\", \"bbox\": [339, 104, 348, 114]}, {\"cell\": \"1.02 (0.86–1.21)\", \"bbox\": [411, 104, 462, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 118, 15, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 132, 60, 142]}, {\"cell\": \"42\", \"bbox\": [171, 132, 180, 142]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 132, 287, 142]}, {\"cell\": \"51\", \"bbox\": [339, 132, 348, 142]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 132, 455, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 146, 68, 156]}, {\"cell\": \"46\", \"bbox\": [171, 146, 180, 156]}, {\"cell\": \"1.01 (0.84–1.21)\", \"bbox\": [243, 146, 294, 156]}, {\"cell\": \"57\", \"bbox\": [339, 146, 348, 156]}, {\"cell\": \"1.05 (0.91–1.22)\", \"bbox\": [411, 146, 462, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 160, 52, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 174, 76, 184]}, {\"cell\": \"48\", \"bbox\": [171, 174, 180, 184]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 174, 287, 184]}, {\"cell\": \"50\", \"bbox\": [339, 174, 348, 184]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 174, 455, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 188, 72, 198]}, {\"cell\": \"56\", \"bbox\": [171, 188, 180, 198]}, {\"cell\": \"1.21 (0.95–1.54)\", \"bbox\": [243, 188, 294, 198]}, {\"cell\": \"68\", \"bbox\": [339, 188, 348, 198]}, {\"cell\": \"1.48 (1.19–1.85)\", \"bbox\": [411, 188, 462, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 202, 63, 212]}, {\"cell\": \"38\", \"bbox\": [171, 202, 180, 212]}, {\"cell\": \"1.01 (0.77–1.32)\", \"bbox\": [243, 202, 294, 212]}, {\"cell\": \"51\", \"bbox\": [339, 202, 348, 212]}, {\"cell\": \"1.30 (1.03–1.63)\", \"bbox\": [411, 202, 462, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 216, 60, 226]}, {\"cell\": \"39\", \"bbox\": [171, 216, 180, 226]}, {\"cell\": \"0.98 (0.74–1.29)\", \"bbox\": [243, 216, 294, 226]}, {\"cell\": \"49\", \"bbox\": [339, 216, 348, 226]}, {\"cell\": \"1.23 (0.97–1.55)\", \"bbox\": [411, 216, 462, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 229, 103, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 244, 104, 254]}, {\"cell\": \"57\", \"bbox\": [171, 244, 180, 254]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 244, 287, 254]}, {\"cell\": \"69\", \"bbox\": [339, 244, 348, 254]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 244, 455, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 258, 81, 268]}, {\"cell\": \"42\", \"bbox\": [171, 258, 180, 268]}, {\"cell\": \"0.87 (0.63–1.20)\", \"bbox\": [243, 258, 294, 268]}, {\"cell\": \"50\", \"bbox\": [339, 258, 348, 268]}, {\"cell\": \"0.82 (0.64–1.05)\", \"bbox\": [411, 258, 462, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 272, 108, 282]}, {\"cell\": \"45\", \"bbox\": [171, 272, 180, 282]}, {\"cell\": \"0.84 (0.62–1.15)\", \"bbox\": [243, 272, 294, 282]}, {\"cell\": \"56\", \"bbox\": [339, 272, 348, 282]}, {\"cell\": \"0.84 (0.66–1.07)\", \"bbox\": [411, 272, 462, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 286, 75, 296]}, {\"cell\": \"47\", \"bbox\": [171, 286, 180, 296]}, {\"cell\": \"0.97 (0.71–1.33)\", \"bbox\": [243, 286, 294, 296]}, {\"cell\": \"54\", \"bbox\": [339, 286, 348, 296]}, {\"cell\": \"0.89 (0.70–1.14)\", \"bbox\": [411, 286, 462, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 300, 76, 310]}, {\"cell\": \"34\", \"bbox\": [171, 300, 180, 310]}, {\"cell\": \"0.80 (0.56–1.14)\", \"bbox\": [243, 300, 294, 310]}, {\"cell\": \"48\", \"bbox\": [339, 300, 348, 310]}, {\"cell\": \"0.86 (0.67–1.11)\", \"bbox\": [411, 300, 462, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 314, 68, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 328, 74, 338]}, {\"cell\": \"16\", \"bbox\": [171, 328, 180, 338]}, {\"cell\": \"0.28 (0.17–0.47)\", \"bbox\": [243, 328, 294, 338]}, {\"cell\": \"25\", \"bbox\": [339, 328, 348, 338]}, {\"cell\": \"0.37 (0.25–0.55)\", \"bbox\": [411, 328, 462, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 342, 102, 352]}, {\"cell\": \"27\", \"bbox\": [171, 342, 180, 352]}, {\"cell\": \"0.50 (0.36–0.71)\", \"bbox\": [243, 342, 294, 352]}, {\"cell\": \"34\", \"bbox\": [339, 342, 348, 352]}, {\"cell\": \"0.54 (0.41–0.70)\", \"bbox\": [411, 342, 462, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 356, 102, 366]}, {\"cell\": \"44\", \"bbox\": [171, 356, 180, 366]}, {\"cell\": \"0.72 (0.54–0.95)\", \"bbox\": [243, 356, 294, 366]}, {\"cell\": \"52\", \"bbox\": [339, 356, 348, 366]}, {\"cell\": \"0.68 (0.54–0.85)\", \"bbox\": [411, 356, 462, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 370, 102, 380]}, {\"cell\": \"52\", \"bbox\": [171, 370, 180, 380]}, {\"cell\": \"0.81 (0.65–1.01)\", \"bbox\": [243, 370, 294, 380]}, {\"cell\": \"64\", \"bbox\": [339, 370, 348, 380]}, {\"cell\": \"0.81 (0.68–0.96)\", \"bbox\": [411, 370, 462, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 384, 77, 394]}, {\"cell\": \"67\", \"bbox\": [171, 384, 180, 394]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 384, 287, 394]}, {\"cell\": \"79\", \"bbox\": [339, 384, 348, 394]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 384, 455, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 398, 59, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 412, 108, 422]}, {\"cell\": \"56\", \"bbox\": [171, 412, 180, 422]}, {\"cell\": \"1 [Reference]\", \"bbox\": [243, 412, 287, 422]}, {\"cell\": \"67\", \"bbox\": [339, 412, 348, 422]}, {\"cell\": \"1 [Reference]\", \"bbox\": [411, 412, 455, 422]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 426, 102, 436]}, {\"cell\": \"24\", \"bbox\": [171, 426, 180, 436]}, {\"cell\": \"0.57 (0.36–0.90)\", \"bbox\": [243, 426, 294, 436]}, {\"cell\": \"37\", \"bbox\": [339, 426, 348, 436]}, {\"cell\": \"0.67 (0.48–0.93)\", \"bbox\": [411, 426, 462, 436]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 440, 149, 450]}, {\"cell\": \"46\", \"bbox\": [171, 440, 180, 450]}, {\"cell\": \"0.94 (0.69–1.28)\", \"bbox\": [243, 440, 294, 450]}, {\"cell\": \"51\", \"bbox\": [339, 440, 348, 450]}, {\"cell\": \"0.87 (0.67–1.13)\", \"bbox\": [411, 440, 462, 450]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 454, 71, 464]}, {\"cell\": \"21\", \"bbox\": [171, 454, 180, 464]}, {\"cell\": \"0.57 (0.38–0.87)\", \"bbox\": [243, 454, 294, 464]}, {\"cell\": \"29\", \"bbox\": [339, 454, 348, 464]}, {\"cell\": \"0.60 (0.45–0.81)\", \"bbox\": [411, 454, 462, 464]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4981029_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}415{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Treatment (Dose)</b></td><td><b>Efficacy</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>Iodoquinole (650 mg t.i.d)</td><td>0%</td><td>[EMPTY_CELL]</td></tr><tr><td>Emetine (100 μg/ml)</td><td>50%</td><td>[EMPTY_CELL]</td></tr><tr><td>Metronidazole (2000 mg s.i.d)</td><td>0%</td><td>[EMPTY_CELL]</td></tr><tr><td>Metronidazole (1500 mg s.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Metronidazole (750 mg t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Metronidazole (750 mg t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Metronidazole (500 mg t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Metronidazole (250- 750 mg t.i.d)</td><td>33%</td><td>[EMPTY_CELL]</td></tr><tr><td>Metronidazole (750 mg t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Metronidazole (1500 mg s.i.d)</td><td>80%</td><td>[EMPTY_CELL]</td></tr><tr><td>Metronidazole (800 mg t.i.d)</td><td>0%</td><td>[EMPTY_CELL]</td></tr><tr><td>Metronidazole (30 mg/kg twice daily)</td><td>67%</td><td>[EMPTY_CELL]</td></tr><tr><td>Nitazoxanide (500 mg t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Nitazoxanide (100-200 mg b.i.d for children <12 yr, 500 mg b.i.d for >11 yr)</td><td>86%</td><td>[EMPTY_CELL]</td></tr><tr><td>Nitazoxanide (500 mg t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Ornidazole (500 mg t.i.d)</td><td>50%</td><td>[EMPTY_CELL]</td></tr><tr><td>Paromomycin (25 mg/kg t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Paromomycin (500 mg t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Paromomycin (25 mg/kg t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Paromomycin (1000 mg b.i.d) & MZ (750 mg t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Saccharomyces boulardii</i> (250 mg b.i.d)</td><td>78%</td><td>[EMPTY_CELL]</td></tr><tr><td>Trimethroprim-SMX</td><td>22%</td><td>[EMPTY_CELL]</td></tr><tr><td>Trimethroprim-SMX (6 mg/kg TMP, 30 mg/kg SMX s.i.d)</td><td>95%</td><td>[EMPTY_CELL]</td></tr><tr><td>Trimethropim- SMX (320 mg TMP, 1600 mg SMX s.i.d)</td><td>93%</td><td>[EMPTY_CELL]</td></tr><tr><td>Trimethroprim- SMX (80 mg TMP, 400 mg SMX t.i.d)</td><td>100%</td><td>[EMPTY_CELL]</td></tr><tr><td>Triple therapy (nitazoxanide, furazolidone and secnidazole)</td><td>0%</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Treatment (Dose)</b>\", \"bbox\": [1, 4, 63, 13]}, {\"cell\": \"<b>Efficacy</b>\", \"bbox\": [168, 4, 196, 13]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [200, 4, 236, 13]}, {\"cell\": \"Iodoquinole (650 mg t.i.d)\", \"bbox\": [1, 17, 86, 27]}, {\"cell\": \"0%\", \"bbox\": [168, 17, 180, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 17, 214, 27]}, {\"cell\": \"Emetine (100 μg/ml)\", \"bbox\": [1, 31, 68, 41]}, {\"cell\": \"50%\", \"bbox\": [168, 31, 184, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 31, 214, 41]}, {\"cell\": \"Metronidazole (2000 mg s.i.d)\", \"bbox\": [1, 45, 97, 55]}, {\"cell\": \"0%\", \"bbox\": [168, 45, 180, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 45, 214, 55]}, {\"cell\": \"Metronidazole (1500 mg s.i.d)\", \"bbox\": [1, 59, 97, 69]}, {\"cell\": \"100%\", \"bbox\": [168, 59, 187, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 59, 214, 69]}, {\"cell\": \"Metronidazole (750 mg t.i.d)\", \"bbox\": [1, 73, 93, 83]}, {\"cell\": \"100%\", \"bbox\": [168, 73, 187, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 73, 214, 83]}, {\"cell\": \"Metronidazole (750 mg t.i.d)\", \"bbox\": [1, 87, 93, 97]}, {\"cell\": \"100%\", \"bbox\": [168, 87, 187, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 87, 214, 97]}, {\"cell\": \"Metronidazole (500 mg t.i.d)\", \"bbox\": [1, 101, 93, 111]}, {\"cell\": \"100%\", \"bbox\": [168, 101, 187, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 101, 214, 111]}, {\"cell\": \"Metronidazole (250- 750 mg t.i.d)\", \"bbox\": [1, 115, 109, 125]}, {\"cell\": \"33%\", \"bbox\": [168, 115, 184, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 115, 214, 125]}, {\"cell\": \"Metronidazole (750 mg t.i.d)\", \"bbox\": [1, 129, 93, 139]}, {\"cell\": \"100%\", \"bbox\": [168, 129, 187, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 129, 214, 139]}, {\"cell\": \"Metronidazole (1500 mg s.i.d)\", \"bbox\": [1, 143, 97, 153]}, {\"cell\": \"80%\", \"bbox\": [168, 143, 184, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 143, 214, 153]}, {\"cell\": \"Metronidazole (800 mg t.i.d)\", \"bbox\": [1, 157, 93, 167]}, {\"cell\": \"0%\", \"bbox\": [168, 157, 180, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 157, 214, 167]}, {\"cell\": \"Metronidazole (30 mg/kg twice daily)\", \"bbox\": [1, 171, 123, 181]}, {\"cell\": \"67%\", \"bbox\": [168, 171, 184, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 171, 214, 181]}, {\"cell\": \"Nitazoxanide (500 mg t.i.d)\", \"bbox\": [1, 185, 88, 195]}, {\"cell\": \"100%\", \"bbox\": [168, 185, 187, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 185, 214, 195]}, {\"cell\": \"Nitazoxanide (100-200 mg b.i.d for children <12 yr, 500 mg b.i.d for >11 yr)\", \"bbox\": [1, 199, 141, 218]}, {\"cell\": \"86%\", \"bbox\": [168, 199, 184, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 199, 214, 209]}, {\"cell\": \"Nitazoxanide (500 mg t.i.d)\", \"bbox\": [1, 222, 88, 232]}, {\"cell\": \"100%\", \"bbox\": [168, 222, 187, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 222, 214, 232]}, {\"cell\": \"Ornidazole (500 mg t.i.d)\", \"bbox\": [1, 236, 81, 246]}, {\"cell\": \"50%\", \"bbox\": [168, 236, 184, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 236, 214, 246]}, {\"cell\": \"Paromomycin (25 mg/kg t.i.d)\", \"bbox\": [1, 250, 98, 260]}, {\"cell\": \"100%\", \"bbox\": [168, 250, 187, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 250, 214, 260]}, {\"cell\": \"Paromomycin (500 mg t.i.d)\", \"bbox\": [1, 264, 91, 274]}, {\"cell\": \"100%\", \"bbox\": [168, 264, 187, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 264, 214, 274]}, {\"cell\": \"Paromomycin (25 mg/kg t.i.d)\", \"bbox\": [1, 278, 98, 288]}, {\"cell\": \"100%\", \"bbox\": [168, 278, 187, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 278, 214, 288]}, {\"cell\": \"Paromomycin (1000 mg b.i.d) & MZ (750 mg t.i.d)\", \"bbox\": [1, 292, 161, 302]}, {\"cell\": \"100%\", \"bbox\": [168, 292, 187, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 292, 214, 302]}, {\"cell\": \"<i>Saccharomyces boulardii</i> (250 mg b.i.d)\", \"bbox\": [1, 306, 125, 316]}, {\"cell\": \"78%\", \"bbox\": [168, 306, 184, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 306, 214, 316]}, {\"cell\": \"Trimethroprim-SMX\", \"bbox\": [1, 320, 65, 330]}, {\"cell\": \"22%\", \"bbox\": [168, 320, 184, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 320, 214, 330]}, {\"cell\": \"Trimethroprim-SMX (6 mg/kg TMP, 30 mg/kg SMX s.i.d)\", \"bbox\": [1, 334, 148, 353]}, {\"cell\": \"95%\", \"bbox\": [168, 334, 184, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 334, 214, 344]}, {\"cell\": \"Trimethropim- SMX (320 mg TMP, 1600 mg SMX s.i.d)\", \"bbox\": [1, 357, 143, 376]}, {\"cell\": \"93%\", \"bbox\": [168, 357, 184, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 357, 214, 367]}, {\"cell\": \"Trimethroprim- SMX (80 mg TMP, 400 mg SMX t.i.d)\", \"bbox\": [1, 380, 137, 399]}, {\"cell\": \"100%\", \"bbox\": [168, 380, 187, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 380, 214, 390]}, {\"cell\": \"Triple therapy (nitazoxanide, furazolidone and secnidazole)\", \"bbox\": [1, 403, 149, 422]}, {\"cell\": \"0%\", \"bbox\": [168, 403, 180, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 403, 214, 413]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4039988_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}416{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Basic characteristics of study participants</b></td><td><b>NH residents</b></td><td><b>Staff members</b></td></tr></thead><tbody><tr><td>Number of participants</td><td>[EMPTY_CELL]</td><td>42</td></tr><tr><td>Age (years), median (IQR)</td><td>[EMPTY_CELL]</td><td>38.2 (33.5–46.1)</td></tr><tr><td>Female, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>41 (97.6)</td></tr><tr><td>Mobile capabilities:</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Bedridden, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td> Need assistance in daily activities, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td> Mobile, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>42 (100)</td></tr><tr><td>Comorbidities<sup>a</sup>, <i>n</i> (%):</td><td>[EMPTY_CELL]</td><td>7 (16.7)</td></tr><tr><td> Cardiovascular disease, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>3 (7.1)</td></tr><tr><td> Chronic pulmonary disease, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>1 (2.4)</td></tr><tr><td> Cerebrovascular disease, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>1 (2.4)</td></tr><tr><td> Diabetes mellitus, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>3 (7.1)</td></tr><tr><td> Dementia, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td>Charlson comorbidity index (age-adjusted), median (IQR)</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td>Smoking, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>15 (35.7)</td></tr><tr><td>Influenza vaccination<sup>b</sup> in 2011/2012 season, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>9 (21.4)</td></tr><tr><td>Deaths<sup>c</sup>, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Basic characteristics of study participants</b>\", \"bbox\": [1, 4, 132, 13]}, {\"cell\": \"<b>NH residents</b>\", \"bbox\": [283, 4, 326, 13]}, {\"cell\": \"<b>Staff members</b>\", \"bbox\": [433, 4, 482, 13]}, {\"cell\": \"Number of participants\", \"bbox\": [1, 17, 77, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 17, 293, 27]}, {\"cell\": \"42\", \"bbox\": [433, 17, 443, 27]}, {\"cell\": \"Age (years), median (IQR)\", \"bbox\": [1, 31, 83, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 31, 334, 41]}, {\"cell\": \"38.2 (33.5–46.1)\", \"bbox\": [433, 31, 484, 41]}, {\"cell\": \"Female, <i>n</i> (%)\", \"bbox\": [1, 45, 46, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 45, 312, 55]}, {\"cell\": \"41 (97.6)\", \"bbox\": [433, 45, 462, 55]}, {\"cell\": \"Mobile capabilities:\", \"bbox\": [1, 59, 63, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Bedridden, <i>n</i> (%)\", \"bbox\": [9, 73, 63, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 73, 307, 83]}, {\"cell\": \"0\", \"bbox\": [433, 73, 439, 83]}, {\"cell\": \" Need assistance in daily activities, <i>n</i> (%)\", \"bbox\": [8, 87, 137, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 87, 312, 97]}, {\"cell\": \"0\", \"bbox\": [433, 87, 439, 97]}, {\"cell\": \" Mobile, <i>n</i> (%)\", \"bbox\": [8, 101, 53, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 101, 312, 111]}, {\"cell\": \"42 (100)\", \"bbox\": [433, 101, 461, 111]}, {\"cell\": \"Comorbidities<sup>a</sup>, <i>n</i> (%):\", \"bbox\": [0, 113, 71, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 115, 312, 125]}, {\"cell\": \"7 (16.7)\", \"bbox\": [433, 115, 459, 125]}, {\"cell\": \" Cardiovascular disease, <i>n</i> (%)\", \"bbox\": [9, 129, 102, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 129, 312, 139]}, {\"cell\": \"3 (7.1)\", \"bbox\": [433, 129, 455, 139]}, {\"cell\": \" Chronic pulmonary disease, <i>n</i> (%)\", \"bbox\": [9, 143, 118, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 143, 312, 153]}, {\"cell\": \"1 (2.4)\", \"bbox\": [433, 143, 455, 153]}, {\"cell\": \" Cerebrovascular disease, <i>n</i> (%)\", \"bbox\": [9, 157, 107, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 157, 312, 167]}, {\"cell\": \"1 (2.4)\", \"bbox\": [433, 157, 455, 167]}, {\"cell\": \" Diabetes mellitus, <i>n</i> (%)\", \"bbox\": [9, 171, 85, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 171, 312, 181]}, {\"cell\": \"3 (7.1)\", \"bbox\": [433, 171, 455, 181]}, {\"cell\": \" Dementia, <i>n</i> (%)\", \"bbox\": [9, 185, 62, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 185, 312, 195]}, {\"cell\": \"0\", \"bbox\": [433, 185, 439, 195]}, {\"cell\": \"Charlson comorbidity index (age-adjusted), median (IQR)\", \"bbox\": [1, 199, 184, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 199, 307, 209]}, {\"cell\": \"0\", \"bbox\": [433, 199, 439, 209]}, {\"cell\": \"Smoking, <i>n</i> (%)\", \"bbox\": [1, 213, 51, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 213, 305, 223]}, {\"cell\": \"15 (35.7)\", \"bbox\": [433, 213, 462, 223]}, {\"cell\": \"Influenza vaccination<sup>b</sup> in 2011/2012 season, <i>n</i> (%)\", \"bbox\": [1, 225, 161, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 227, 312, 237]}, {\"cell\": \"9 (21.4)\", \"bbox\": [433, 227, 459, 237]}, {\"cell\": \"Deaths<sup>c</sup>, <i>n</i> (%)\", \"bbox\": [1, 239, 47, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 241, 312, 251]}, {\"cell\": \"0\", \"bbox\": [433, 241, 439, 251]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5097393_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}417{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Group 1</b></td><td><b>Group 2</b></td><td><b>Group 3</b></td><td><b>Group 4</b></td><td><b>Group 5</b></td><td><b><i>P </i>value</b></td></tr></thead><tbody><tr><td><b>At 0 hours</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Serum creatinine (mg/dl)</td><td>[EMPTY_CELL]</td><td>0.22 ± 0.03</td><td>0.19 ± 0.03</td><td>0.23 ± 0.04</td><td>0.19 ± 0.05</td><td>0.244</td></tr><tr><td>Serum BUN (mg/dl)</td><td>[EMPTY_CELL]</td><td>16.3 ± 3.3</td><td>13.5 ± 1.1</td><td>17.1 ± 1.7</td><td>16.4 ± 2.2</td><td>0.062</td></tr><tr><td>Ratio of urine protein to creatinine</td><td>[EMPTY_CELL]</td><td>1.14 ± 0.53</td><td>1.14 ± 0.32</td><td>1.35 ± 0.90</td><td>1.18 ± 0.34</td><td>0.924</td></tr><tr><td><b>At 24 hours</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Serum creatinine (mg/dl)</td><td>[EMPTY_CELL]</td><td>3.28 ± 1.29<sup>†</sup></td><td>1.72 ± 1.93<sup>‡</sup></td><td>1.55 ± 1.61<sup>‡</sup></td><td>1.6 ± 0.72<sup>‡</sup></td><td><0.001</td></tr><tr><td>Serum BUN (mg/dl)</td><td>[EMPTY_CELL]</td><td>86.7 ± 15.9<sup>†</sup></td><td>67.8 ± 37.4<sup>‡</sup></td><td>68.0 ± 35.9<sup>‡</sup></td><td>68.0 ± 35.9<sup>‡</sup></td><td><0.001</td></tr><tr><td>Ratio of urine protein to creatinine</td><td>[EMPTY_CELL]</td><td>6.75 ± 2.92<sup>†</sup></td><td>4.01 ± 0.80<sup>‡</sup></td><td>3.27 ± 0.33<sup>§</sup></td><td>2.73 ± 0.60<sup>¶</sup></td><td><0.001</td></tr><tr><td><b>At 72 hours</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Serum creatinine (mg/dl)</td><td>[EMPTY_CELL]</td><td>3.58 ± 3.16<sup>†</sup></td><td>1.21 ± 0.83<sup>‡</sup></td><td>1.27 ± 0.83<sup>‡</sup></td><td>0.82 ± 0.32<sup>§</sup></td><td><0.001</td></tr><tr><td>Serum BUN (mg/dl)</td><td>[EMPTY_CELL]</td><td>109 ± 89.7<sup>†</sup></td><td>63.5 ± 37.4<sup>‡</sup></td><td>49.9 ± 29.5<sup>§</sup></td><td>47.7 ± 18.3<sup>§</sup></td><td><0.001</td></tr><tr><td>Ration of urine protein to creatinine</td><td>[EMPTY_CELL]</td><td>3.70 ± 2.82<sup>†</sup></td><td>2.08 ± 2.06<sup>‡</sup></td><td>1.52 ± 0.34<sup>§</sup></td><td>1.19 ± 0.23<sup>¶</sup></td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>Group 1</b>\", \"bbox\": [141, 4, 171, 13]}, {\"cell\": \"<b>Group 2</b>\", \"bbox\": [205, 4, 235, 13]}, {\"cell\": \"<b>Group 3</b>\", \"bbox\": [268, 4, 298, 13]}, {\"cell\": \"<b>Group 4</b>\", \"bbox\": [331, 4, 361, 13]}, {\"cell\": \"<b>Group 5</b>\", \"bbox\": [394, 4, 424, 13]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"<b>At 0 hours</b>\", \"bbox\": [1, 17, 39, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Serum creatinine (mg/dl)\", \"bbox\": [1, 31, 83, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 31, 178, 40]}, {\"cell\": \"0.22 ± 0.03\", \"bbox\": [205, 31, 242, 40]}, {\"cell\": \"0.19 ± 0.03\", \"bbox\": [268, 31, 305, 40]}, {\"cell\": \"0.23 ± 0.04\", \"bbox\": [331, 31, 368, 40]}, {\"cell\": \"0.19 ± 0.05\", \"bbox\": [394, 31, 431, 40]}, {\"cell\": \"0.244\", \"bbox\": [457, 31, 476, 40]}, {\"cell\": \"Serum BUN (mg/dl)\", \"bbox\": [1, 45, 66, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 45, 174, 54]}, {\"cell\": \"16.3 ± 3.3\", \"bbox\": [205, 45, 238, 54]}, {\"cell\": \"13.5 ± 1.1\", \"bbox\": [268, 45, 301, 54]}, {\"cell\": \"17.1 ± 1.7\", \"bbox\": [331, 45, 364, 54]}, {\"cell\": \"16.4 ± 2.2\", \"bbox\": [394, 45, 427, 54]}, {\"cell\": \"0.062\", \"bbox\": [457, 45, 476, 54]}, {\"cell\": \"Ratio of urine protein to creatinine\", \"bbox\": [1, 59, 114, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 59, 178, 68]}, {\"cell\": \"1.14 ± 0.53\", \"bbox\": [205, 59, 242, 68]}, {\"cell\": \"1.14 ± 0.32\", \"bbox\": [268, 59, 305, 68]}, {\"cell\": \"1.35 ± 0.90\", \"bbox\": [331, 59, 368, 68]}, {\"cell\": \"1.18 ± 0.34\", \"bbox\": [394, 59, 431, 68]}, {\"cell\": \"0.924\", \"bbox\": [457, 59, 476, 68]}, {\"cell\": \"<b>At 24 hours</b>\", \"bbox\": [1, 73, 43, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Serum creatinine (mg/dl)\", \"bbox\": [1, 87, 83, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 87, 181, 96]}, {\"cell\": \"3.28 ± 1.29<sup>†</sup>\", \"bbox\": [205, 86, 245, 96]}, {\"cell\": \"1.72 ± 1.93<sup>‡</sup>\", \"bbox\": [268, 86, 308, 96]}, {\"cell\": \"1.55 ± 1.61<sup>‡</sup>\", \"bbox\": [331, 86, 371, 96]}, {\"cell\": \"1.6 ± 0.72<sup>‡</sup>\", \"bbox\": [394, 86, 430, 96]}, {\"cell\": \"<0.001\", \"bbox\": [457, 87, 481, 96]}, {\"cell\": \"Serum BUN (mg/dl)\", \"bbox\": [1, 101, 66, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 101, 178, 110]}, {\"cell\": \"86.7 ± 15.9<sup>†</sup>\", \"bbox\": [205, 100, 245, 110]}, {\"cell\": \"67.8 ± 37.4<sup>‡</sup>\", \"bbox\": [268, 100, 308, 110]}, {\"cell\": \"68.0 ± 35.9<sup>‡</sup>\", \"bbox\": [331, 100, 371, 110]}, {\"cell\": \"68.0 ± 35.9<sup>‡</sup>\", \"bbox\": [394, 100, 434, 110]}, {\"cell\": \"<0.001\", \"bbox\": [457, 101, 481, 110]}, {\"cell\": \"Ratio of urine protein to creatinine\", \"bbox\": [1, 115, 114, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 115, 181, 124]}, {\"cell\": \"6.75 ± 2.92<sup>†</sup>\", \"bbox\": [205, 114, 245, 124]}, {\"cell\": \"4.01 ± 0.80<sup>‡</sup>\", \"bbox\": [268, 114, 308, 124]}, {\"cell\": \"3.27 ± 0.33<sup>§</sup>\", \"bbox\": [331, 113, 371, 124]}, {\"cell\": \"2.73 ± 0.60<sup>¶</sup>\", \"bbox\": [394, 113, 434, 124]}, {\"cell\": \"<0.001\", \"bbox\": [457, 115, 481, 124]}, {\"cell\": \"<b>At 72 hours</b>\", \"bbox\": [1, 129, 43, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Serum creatinine (mg/dl)\", \"bbox\": [1, 143, 83, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 143, 181, 152]}, {\"cell\": \"3.58 ± 3.16<sup>†</sup>\", \"bbox\": [205, 142, 245, 152]}, {\"cell\": \"1.21 ± 0.83<sup>‡</sup>\", \"bbox\": [268, 142, 308, 152]}, {\"cell\": \"1.27 ± 0.83<sup>‡</sup>\", \"bbox\": [331, 142, 371, 152]}, {\"cell\": \"0.82 ± 0.32<sup>§</sup>\", \"bbox\": [394, 141, 434, 152]}, {\"cell\": \"<0.001\", \"bbox\": [457, 143, 481, 152]}, {\"cell\": \"Serum BUN (mg/dl)\", \"bbox\": [1, 157, 66, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 157, 178, 166]}, {\"cell\": \"109 ± 89.7<sup>†</sup>\", \"bbox\": [205, 156, 243, 166]}, {\"cell\": \"63.5 ± 37.4<sup>‡</sup>\", \"bbox\": [268, 156, 308, 166]}, {\"cell\": \"49.9 ± 29.5<sup>§</sup>\", \"bbox\": [331, 155, 371, 166]}, {\"cell\": \"47.7 ± 18.3<sup>§</sup>\", \"bbox\": [394, 155, 434, 166]}, {\"cell\": \"<0.001\", \"bbox\": [457, 157, 481, 166]}, {\"cell\": \"Ration of urine protein to creatinine\", \"bbox\": [1, 171, 118, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 171, 181, 180]}, {\"cell\": \"3.70 ± 2.82<sup>†</sup>\", \"bbox\": [205, 170, 245, 180]}, {\"cell\": \"2.08 ± 2.06<sup>‡</sup>\", \"bbox\": [268, 170, 308, 180]}, {\"cell\": \"1.52 ± 0.34<sup>§</sup>\", \"bbox\": [331, 169, 371, 180]}, {\"cell\": \"1.19 ± 0.23<sup>¶</sup>\", \"bbox\": [394, 169, 434, 180]}, {\"cell\": \"<0.001\", \"bbox\": [457, 171, 481, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3706768_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}418{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Weight loss attempts</b></td><td colspan=\\\"4\\\"><b>Weight maintenance attempts</b></td></tr><tr><td><b>Motives</b></td><td><b>Number of studies</b></td><td><b><i>n</i></b></td><td><b>Prevalence (%)*</b></td><td><b>References</b></td><td><b>Number of studies</b></td><td><b><i>n</i></b></td><td><b>Prevalence (%)*</b></td><td><b>References</b></td></tr></thead><tbody><tr><td>Improve appearance</td><td>5</td><td>1,104</td><td>71.4</td><td>15, 24, 32, 35, 38</td><td>2</td><td>460</td><td>79.8</td><td>[EMPTY_CELL]</td></tr><tr><td>Improve health/prevent diseases</td><td>5</td><td>1,104</td><td>35.3</td><td>15, 24, 32, 35, 38</td><td>2</td><td>460</td><td>97.6</td><td>[EMPTY_CELL]</td></tr><tr><td>Improve wellbeing</td><td>3</td><td>501</td><td>95.0</td><td>15, 22, 38</td><td>3</td><td>460</td><td>90.8</td><td>[EMPTY_CELL]</td></tr><tr><td>Improve fitness condition/stay fit</td><td>3</td><td>501</td><td>84.6</td><td>15, 32, 38</td><td>2</td><td>460</td><td>86.9</td><td>[EMPTY_CELL]</td></tr><tr><td>Improve self‐esteem</td><td>3</td><td>501</td><td>73.9</td><td>15, 32, 38</td><td>2</td><td>460</td><td>71.0</td><td>[EMPTY_CELL]</td></tr><tr><td>Health professional advice</td><td>3</td><td>501</td><td>40.0</td><td>15, 22, 38</td><td>3</td><td>460</td><td>38.6</td><td>[EMPTY_CELL]</td></tr><tr><td>Please/insistence of spouse or partner</td><td>2</td><td>234</td><td>46.2</td><td>15, 22</td><td>2</td><td>247</td><td>32.0</td><td>[EMPTY_CELL]</td></tr><tr><td>Improve social life/avoid discrimination</td><td>2</td><td>267</td><td>37.8</td><td>22, 38</td><td>2</td><td>213</td><td>44.6</td><td>[EMPTY_CELL]</td></tr><tr><td>Improve professional life/fulfil specific professional requirements</td><td>2</td><td>267</td><td>32.2</td><td>22, 38</td><td>2</td><td>213</td><td>42.7</td><td>[EMPTY_CELL]</td></tr><tr><td>Please/insistence of family</td><td>2</td><td>234</td><td>27.8</td><td>15, 22</td><td>2</td><td>247</td><td>24.9</td><td>[EMPTY_CELL]</td></tr><tr><td>Decrease disease risk (e.g. heart attack)</td><td>1</td><td>—</td><td>—</td><td>24</td><td>0</td><td>—</td><td>—</td><td>[EMPTY_CELL]</td></tr><tr><td>Special event/season (e.g. holiday, summer)</td><td>1</td><td>—</td><td>—</td><td>22</td><td>1</td><td>—</td><td>—</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Weight loss attempts</b>\", \"bbox\": [222, 4, 289, 13]}, {\"cell\": \"<b>Weight maintenance attempts</b>\", \"bbox\": [358, 4, 453, 13]}, {\"cell\": \"<b>Motives</b>\", \"bbox\": [1, 21, 26, 29]}, {\"cell\": \"<b>Number of studies</b>\", \"bbox\": [182, 21, 217, 39]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [230, 22, 236, 28]}, {\"cell\": \"<b>Prevalence (%)*</b>\", \"bbox\": [245, 21, 282, 39]}, {\"cell\": \"<b>References</b>\", \"bbox\": [284, 21, 322, 29]}, {\"cell\": \"<b>Number of studies</b>\", \"bbox\": [343, 21, 378, 39]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [388, 22, 393, 28]}, {\"cell\": \"<b>Prevalence (%)*</b>\", \"bbox\": [400, 21, 437, 39]}, {\"cell\": \"<b>References</b>\", \"bbox\": [439, 21, 476, 29]}, {\"cell\": \"Improve appearance\", \"bbox\": [1, 47, 68, 56]}, {\"cell\": \"5\", \"bbox\": [196, 47, 202, 56]}, {\"cell\": \"1,104\", \"bbox\": [223, 47, 243, 56]}, {\"cell\": \"71.4\", \"bbox\": [256, 47, 271, 56]}, {\"cell\": \"15, 24, 32, 35, 38\", \"bbox\": [284, 47, 337, 56]}, {\"cell\": \"2\", \"bbox\": [358, 47, 363, 56]}, {\"cell\": \"460\", \"bbox\": [384, 47, 397, 56]}, {\"cell\": \"79.8\", \"bbox\": [410, 47, 426, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 47, 465, 56]}, {\"cell\": \"Improve health/prevent diseases\", \"bbox\": [1, 57, 104, 66]}, {\"cell\": \"5\", \"bbox\": [196, 57, 202, 66]}, {\"cell\": \"1,104\", \"bbox\": [223, 57, 243, 66]}, {\"cell\": \"35.3\", \"bbox\": [256, 57, 271, 66]}, {\"cell\": \"15, 24, 32, 35, 38\", \"bbox\": [284, 57, 337, 66]}, {\"cell\": \"2\", \"bbox\": [358, 57, 363, 66]}, {\"cell\": \"460\", \"bbox\": [384, 57, 397, 66]}, {\"cell\": \"97.6\", \"bbox\": [410, 57, 426, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 57, 465, 66]}, {\"cell\": \"Improve wellbeing\", \"bbox\": [1, 67, 60, 76]}, {\"cell\": \"3\", \"bbox\": [196, 67, 202, 76]}, {\"cell\": \"501\", \"bbox\": [229, 67, 243, 76]}, {\"cell\": \"95.0\", \"bbox\": [256, 67, 271, 76]}, {\"cell\": \"15, 22, 38\", \"bbox\": [284, 67, 318, 76]}, {\"cell\": \"3\", \"bbox\": [358, 67, 363, 76]}, {\"cell\": \"460\", \"bbox\": [384, 67, 397, 76]}, {\"cell\": \"90.8\", \"bbox\": [410, 67, 426, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 67, 474, 76]}, {\"cell\": \"Improve fitness condition/stay fit\", \"bbox\": [1, 77, 103, 86]}, {\"cell\": \"3\", \"bbox\": [196, 77, 202, 86]}, {\"cell\": \"501\", \"bbox\": [229, 77, 243, 86]}, {\"cell\": \"84.6\", \"bbox\": [256, 77, 271, 86]}, {\"cell\": \"15, 32, 38\", \"bbox\": [284, 77, 318, 86]}, {\"cell\": \"2\", \"bbox\": [358, 77, 363, 86]}, {\"cell\": \"460\", \"bbox\": [384, 77, 397, 86]}, {\"cell\": \"86.9\", \"bbox\": [410, 77, 426, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 77, 465, 86]}, {\"cell\": \"Improve self‐esteem\", \"bbox\": [1, 87, 66, 96]}, {\"cell\": \"3\", \"bbox\": [196, 87, 202, 96]}, {\"cell\": \"501\", \"bbox\": [229, 87, 243, 96]}, {\"cell\": \"73.9\", \"bbox\": [256, 87, 271, 96]}, {\"cell\": \"15, 32, 38\", \"bbox\": [284, 87, 318, 96]}, {\"cell\": \"2\", \"bbox\": [357, 87, 363, 96]}, {\"cell\": \"460\", \"bbox\": [384, 87, 397, 96]}, {\"cell\": \"71.0\", \"bbox\": [410, 87, 426, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 87, 465, 96]}, {\"cell\": \"Health professional advice\", \"bbox\": [1, 97, 85, 106]}, {\"cell\": \"3\", \"bbox\": [196, 97, 202, 106]}, {\"cell\": \"501\", \"bbox\": [229, 97, 243, 106]}, {\"cell\": \"40.0\", \"bbox\": [256, 97, 271, 106]}, {\"cell\": \"15, 22, 38\", \"bbox\": [284, 97, 318, 106]}, {\"cell\": \"3\", \"bbox\": [358, 97, 363, 106]}, {\"cell\": \"460\", \"bbox\": [384, 97, 397, 106]}, {\"cell\": \"38.6\", \"bbox\": [410, 97, 426, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 97, 474, 106]}, {\"cell\": \"Please/insistence of spouse or partner\", \"bbox\": [1, 107, 122, 116]}, {\"cell\": \"2\", \"bbox\": [196, 107, 202, 116]}, {\"cell\": \"234\", \"bbox\": [229, 107, 243, 116]}, {\"cell\": \"46.2\", \"bbox\": [256, 107, 271, 116]}, {\"cell\": \"15, 22\", \"bbox\": [284, 107, 308, 116]}, {\"cell\": \"2\", \"bbox\": [358, 107, 363, 116]}, {\"cell\": \"247\", \"bbox\": [384, 107, 397, 116]}, {\"cell\": \"32.0\", \"bbox\": [410, 107, 426, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 107, 465, 116]}, {\"cell\": \"Improve social life/avoid discrimination\", \"bbox\": [1, 117, 123, 126]}, {\"cell\": \"2\", \"bbox\": [196, 117, 202, 126]}, {\"cell\": \"267\", \"bbox\": [229, 117, 243, 126]}, {\"cell\": \"37.8\", \"bbox\": [256, 117, 271, 126]}, {\"cell\": \"22, 38\", \"bbox\": [284, 117, 308, 126]}, {\"cell\": \"2\", \"bbox\": [357, 117, 363, 126]}, {\"cell\": \"213\", \"bbox\": [384, 117, 397, 126]}, {\"cell\": \"44.6\", \"bbox\": [410, 117, 426, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 117, 465, 126]}, {\"cell\": \"Improve professional life/fulfil specific professional requirements\", \"bbox\": [1, 127, 159, 146]}, {\"cell\": \"2\", \"bbox\": [196, 127, 202, 136]}, {\"cell\": \"267\", \"bbox\": [229, 127, 243, 136]}, {\"cell\": \"32.2\", \"bbox\": [256, 127, 271, 136]}, {\"cell\": \"22, 38\", \"bbox\": [284, 127, 308, 136]}, {\"cell\": \"2\", \"bbox\": [357, 127, 363, 136]}, {\"cell\": \"213\", \"bbox\": [384, 127, 397, 136]}, {\"cell\": \"42.7\", \"bbox\": [410, 127, 426, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 127, 465, 136]}, {\"cell\": \"Please/insistence of family\", \"bbox\": [1, 147, 85, 156]}, {\"cell\": \"2\", \"bbox\": [196, 147, 202, 156]}, {\"cell\": \"234\", \"bbox\": [229, 147, 243, 156]}, {\"cell\": \"27.8\", \"bbox\": [256, 147, 271, 156]}, {\"cell\": \"15, 22\", \"bbox\": [284, 147, 308, 156]}, {\"cell\": \"2\", \"bbox\": [357, 147, 363, 156]}, {\"cell\": \"247\", \"bbox\": [384, 147, 397, 156]}, {\"cell\": \"24.9\", \"bbox\": [410, 147, 426, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 147, 465, 156]}, {\"cell\": \"Decrease disease risk (e.g. heart attack)\", \"bbox\": [1, 157, 129, 166]}, {\"cell\": \"1\", \"bbox\": [196, 157, 202, 166]}, {\"cell\": \"—\", \"bbox\": [234, 160, 243, 164]}, {\"cell\": \"—\", \"bbox\": [262, 160, 271, 164]}, {\"cell\": \"24\", \"bbox\": [284, 157, 298, 166]}, {\"cell\": \"0\", \"bbox\": [357, 157, 363, 166]}, {\"cell\": \"—\", \"bbox\": [388, 160, 397, 164]}, {\"cell\": \"—\", \"bbox\": [417, 160, 426, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Special event/season (e.g. holiday, summer)\", \"bbox\": [1, 167, 141, 176]}, {\"cell\": \"1\", \"bbox\": [196, 167, 202, 176]}, {\"cell\": \"—\", \"bbox\": [234, 171, 243, 175]}, {\"cell\": \"—\", \"bbox\": [262, 171, 271, 175]}, {\"cell\": \"22\", \"bbox\": [284, 167, 298, 176]}, {\"cell\": \"1\", \"bbox\": [357, 167, 363, 176]}, {\"cell\": \"—\", \"bbox\": [388, 171, 397, 175]}, {\"cell\": \"—\", \"bbox\": [417, 171, 426, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 167, 455, 176]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5215364_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}419{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Locus</b></td><td rowspan=\\\"2\\\"><b>Allele</b></td><td rowspan=\\\"2\\\"><b>Location</b></td><td colspan=\\\"2\\\"><b>MAF</b></td><td rowspan=\\\"2\\\"><b>OR [95% CI]</b></td><td rowspan=\\\"2\\\"><b>P<sup>*</sup></b></td><td rowspan=\\\"2\\\"><b>P<sub>corr</sub><sup>**</sup></b></td></tr><tr><td><b>AERD</b></td><td><b>ATA</b></td></tr></thead><tbody><tr><td><i>rs2074267</i></td><td>[EMPTY_CELL]</td><td>5’-UTR</td><td>0.358</td><td>0.414</td><td>0.79 [0.61–1.03]</td><td>0.076</td><td>0.699</td></tr><tr><td><i>rs4141356</i></td><td>[EMPTY_CELL]</td><td>5’-UTR</td><td>0.447</td><td>0.378</td><td>1.33 [1.03–1.71]</td><td>0.027</td><td>0.250</td></tr><tr><td><i>rs718100</i></td><td>[EMPTY_CELL]</td><td>intron 2</td><td>0.429</td><td>0.344</td><td>1.44 [1.11–1.85]</td><td>0.005</td><td>0.046</td></tr><tr><td><i>rs2074265</i></td><td>[EMPTY_CELL]</td><td>Exon 6 (L213 L)</td><td>0.433</td><td>0.348</td><td>1.43 [1.11–1.84]</td><td>0.005</td><td>0.049</td></tr><tr><td><i>rs2240299</i></td><td>[EMPTY_CELL]</td><td>intron 9</td><td>0.241</td><td>0.352</td><td>0.58 [0.44–0.78]</td><td>2.28 × 10<sup>−4</sup></td><td>0.002</td></tr><tr><td><i>rs7507755</i></td><td>[EMPTY_CELL]</td><td>intron 10</td><td>0.241</td><td>0.352</td><td>0.59 [0.44–0.78]</td><td>2.38 × 10<sup>−4</sup></td><td>0.002</td></tr><tr><td><i>rs1468198</i></td><td>[EMPTY_CELL]</td><td>intron 10</td><td>0.475</td><td>0.603</td><td>0.60 [0.46–0.77]</td><td>6.11 × 10<sup>−5</sup></td><td>0.001</td></tr><tr><td><i>rs2074261</i></td><td>[EMPTY_CELL]</td><td>intron 14</td><td>0.379</td><td>0.501</td><td>0.61 [0.47–0.79]</td><td>1.41 × 10<sup>−4</sup></td><td>0.001</td></tr><tr><td><i>rs13301</i></td><td>[EMPTY_CELL]</td><td>3′-flanking</td><td>0.387</td><td>0.502</td><td>0.63 [0.48–0.81]</td><td>2.82 × 10<sup>−4</sup></td><td>0.003</td></tr><tr><td><i>BL1ht1</i></td><td>[EMPTY_CELL]</td><td>–</td><td>0.316</td><td>0.371</td><td>0.78 [0.60–1.02]</td><td>0.072</td><td>0.580</td></tr><tr><td><i>BL1ht3</i></td><td>[EMPTY_CELL]</td><td>–</td><td>0.220</td><td>0.242</td><td>0.88 [0.65–1.19]</td><td>0.410</td><td>1.000</td></tr><tr><td><i>BL1ht4</i></td><td>[EMPTY_CELL]</td><td>–</td><td>0.032</td><td>0.037</td><td>0.86 [0.43–1.75]</td><td>0.684</td><td>1.000</td></tr><tr><td><i>BL2ht3</i></td><td>[EMPTY_CELL]</td><td>–</td><td>0.135</td><td>0.146</td><td>0.91 [0.63–1.31]</td><td>0.608</td><td>1.000</td></tr><tr><td><i>BL2ht4</i></td><td>[EMPTY_CELL]</td><td>–</td><td>0.021</td><td>0.028</td><td>0.75 [0.32–1.76]</td><td>0.508</td><td>1.000</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Locus</b>\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"<b>Allele</b>\", \"bbox\": [66, 4, 86, 13]}, {\"cell\": \"<b>Location</b>\", \"bbox\": [121, 4, 151, 13]}, {\"cell\": \"<b>MAF</b>\", \"bbox\": [206, 4, 223, 13]}, {\"cell\": \"<b>OR [95% CI]</b>\", \"bbox\": [311, 4, 351, 13]}, {\"cell\": \"<b>P<sup>*</sup></b>\", \"bbox\": [396, 2, 404, 13]}, {\"cell\": \"<b>P<sub>corr</sub><sup>**</sup></b>\", \"bbox\": [466, 2, 481, 14]}, {\"cell\": \"<b>AERD</b>\", \"bbox\": [206, 17, 226, 27]}, {\"cell\": \"<b>ATA</b>\", \"bbox\": [259, 17, 274, 27]}, {\"cell\": \"<i>rs2074267</i>\", \"bbox\": [1, 30, 33, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 30, 85, 38]}, {\"cell\": \"5’-UTR\", \"bbox\": [121, 30, 144, 40]}, {\"cell\": \"0.358\", \"bbox\": [206, 30, 225, 40]}, {\"cell\": \"0.414\", \"bbox\": [259, 30, 278, 40]}, {\"cell\": \"0.79 [0.61–1.03]\", \"bbox\": [311, 30, 362, 40]}, {\"cell\": \"0.076\", \"bbox\": [396, 30, 414, 40]}, {\"cell\": \"0.699\", \"bbox\": [466, 30, 484, 40]}, {\"cell\": \"<i>rs4141356</i>\", \"bbox\": [1, 44, 33, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 44, 85, 52]}, {\"cell\": \"5’-UTR\", \"bbox\": [121, 44, 144, 54]}, {\"cell\": \"0.447\", \"bbox\": [206, 44, 225, 54]}, {\"cell\": \"0.378\", \"bbox\": [259, 44, 278, 54]}, {\"cell\": \"1.33 [1.03–1.71]\", \"bbox\": [311, 44, 362, 54]}, {\"cell\": \"0.027\", \"bbox\": [396, 44, 414, 54]}, {\"cell\": \"0.250\", \"bbox\": [466, 44, 484, 54]}, {\"cell\": \"<i>rs718100</i>\", \"bbox\": [1, 58, 29, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 58, 85, 66]}, {\"cell\": \"intron 2\", \"bbox\": [121, 58, 149, 68]}, {\"cell\": \"0.429\", \"bbox\": [206, 58, 225, 68]}, {\"cell\": \"0.344\", \"bbox\": [259, 58, 278, 68]}, {\"cell\": \"1.44 [1.11–1.85]\", \"bbox\": [311, 58, 362, 68]}, {\"cell\": \"0.005\", \"bbox\": [396, 58, 414, 68]}, {\"cell\": \"0.046\", \"bbox\": [466, 58, 484, 68]}, {\"cell\": \"<i>rs2074265</i>\", \"bbox\": [1, 72, 33, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 72, 85, 80]}, {\"cell\": \"Exon 6 (L213 L)\", \"bbox\": [121, 72, 173, 82]}, {\"cell\": \"0.433\", \"bbox\": [206, 72, 225, 82]}, {\"cell\": \"0.348\", \"bbox\": [259, 72, 278, 82]}, {\"cell\": \"1.43 [1.11–1.84]\", \"bbox\": [311, 72, 362, 82]}, {\"cell\": \"0.005\", \"bbox\": [396, 72, 414, 82]}, {\"cell\": \"0.049\", \"bbox\": [466, 72, 484, 82]}, {\"cell\": \"<i>rs2240299</i>\", \"bbox\": [1, 86, 33, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 86, 84, 94]}, {\"cell\": \"intron 9\", \"bbox\": [121, 86, 149, 96]}, {\"cell\": \"0.241\", \"bbox\": [206, 86, 225, 96]}, {\"cell\": \"0.352\", \"bbox\": [259, 86, 278, 96]}, {\"cell\": \"0.58 [0.44–0.78]\", \"bbox\": [311, 86, 362, 96]}, {\"cell\": \"2.28 × 10<sup>−4</sup>\", \"bbox\": [396, 85, 432, 96]}, {\"cell\": \"0.002\", \"bbox\": [466, 86, 484, 96]}, {\"cell\": \"<i>rs7507755</i>\", \"bbox\": [1, 100, 33, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 100, 85, 108]}, {\"cell\": \"intron 10\", \"bbox\": [121, 100, 153, 110]}, {\"cell\": \"0.241\", \"bbox\": [206, 100, 225, 110]}, {\"cell\": \"0.352\", \"bbox\": [259, 100, 278, 110]}, {\"cell\": \"0.59 [0.44–0.78]\", \"bbox\": [311, 100, 362, 110]}, {\"cell\": \"2.38 × 10<sup>−4</sup>\", \"bbox\": [396, 99, 432, 110]}, {\"cell\": \"0.002\", \"bbox\": [466, 100, 484, 110]}, {\"cell\": \"<i>rs1468198</i>\", \"bbox\": [1, 114, 33, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 114, 84, 122]}, {\"cell\": \"intron 10\", \"bbox\": [121, 114, 153, 124]}, {\"cell\": \"0.475\", \"bbox\": [206, 114, 225, 124]}, {\"cell\": \"0.603\", \"bbox\": [259, 114, 278, 124]}, {\"cell\": \"0.60 [0.46–0.77]\", \"bbox\": [311, 114, 362, 124]}, {\"cell\": \"6.11 × 10<sup>−5</sup>\", \"bbox\": [396, 113, 432, 124]}, {\"cell\": \"0.001\", \"bbox\": [466, 114, 484, 124]}, {\"cell\": \"<i>rs2074261</i>\", \"bbox\": [1, 128, 33, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 128, 85, 136]}, {\"cell\": \"intron 14\", \"bbox\": [121, 128, 153, 138]}, {\"cell\": \"0.379\", \"bbox\": [206, 128, 225, 138]}, {\"cell\": \"0.501\", \"bbox\": [259, 128, 278, 138]}, {\"cell\": \"0.61 [0.47–0.79]\", \"bbox\": [311, 128, 362, 138]}, {\"cell\": \"1.41 × 10<sup>−4</sup>\", \"bbox\": [396, 127, 432, 138]}, {\"cell\": \"0.001\", \"bbox\": [466, 128, 484, 138]}, {\"cell\": \"<i>rs13301</i>\", \"bbox\": [1, 142, 26, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 142, 84, 150]}, {\"cell\": \"3′-flanking\", \"bbox\": [121, 142, 156, 152]}, {\"cell\": \"0.387\", \"bbox\": [206, 142, 225, 152]}, {\"cell\": \"0.502\", \"bbox\": [259, 142, 278, 152]}, {\"cell\": \"0.63 [0.48–0.81]\", \"bbox\": [311, 142, 362, 152]}, {\"cell\": \"2.82 × 10<sup>−4</sup>\", \"bbox\": [396, 141, 432, 152]}, {\"cell\": \"0.003\", \"bbox\": [466, 142, 484, 152]}, {\"cell\": \"<i>BL1ht1</i>\", \"bbox\": [1, 156, 23, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 156, 86, 164]}, {\"cell\": \"–\", \"bbox\": [121, 156, 127, 164]}, {\"cell\": \"0.316\", \"bbox\": [206, 156, 225, 166]}, {\"cell\": \"0.371\", \"bbox\": [259, 156, 278, 166]}, {\"cell\": \"0.78 [0.60–1.02]\", \"bbox\": [311, 156, 362, 166]}, {\"cell\": \"0.072\", \"bbox\": [396, 156, 414, 166]}, {\"cell\": \"0.580\", \"bbox\": [466, 156, 484, 166]}, {\"cell\": \"<i>BL1ht3</i>\", \"bbox\": [1, 170, 23, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 170, 86, 178]}, {\"cell\": \"–\", \"bbox\": [121, 170, 127, 178]}, {\"cell\": \"0.220\", \"bbox\": [206, 170, 225, 180]}, {\"cell\": \"0.242\", \"bbox\": [259, 170, 278, 180]}, {\"cell\": \"0.88 [0.65–1.19]\", \"bbox\": [311, 170, 362, 180]}, {\"cell\": \"0.410\", \"bbox\": [396, 170, 414, 180]}, {\"cell\": \"1.000\", \"bbox\": [466, 170, 484, 180]}, {\"cell\": \"<i>BL1ht4</i>\", \"bbox\": [1, 184, 23, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 184, 86, 192]}, {\"cell\": \"–\", \"bbox\": [121, 184, 127, 192]}, {\"cell\": \"0.032\", \"bbox\": [206, 184, 225, 194]}, {\"cell\": \"0.037\", \"bbox\": [259, 184, 278, 194]}, {\"cell\": \"0.86 [0.43–1.75]\", \"bbox\": [311, 184, 362, 194]}, {\"cell\": \"0.684\", \"bbox\": [396, 184, 414, 194]}, {\"cell\": \"1.000\", \"bbox\": [466, 184, 484, 194]}, {\"cell\": \"<i>BL2ht3</i>\", \"bbox\": [1, 198, 23, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 198, 88, 206]}, {\"cell\": \"–\", \"bbox\": [121, 198, 127, 206]}, {\"cell\": \"0.135\", \"bbox\": [206, 198, 225, 208]}, {\"cell\": \"0.146\", \"bbox\": [259, 198, 278, 208]}, {\"cell\": \"0.91 [0.63–1.31]\", \"bbox\": [311, 198, 362, 208]}, {\"cell\": \"0.608\", \"bbox\": [396, 198, 414, 208]}, {\"cell\": \"1.000\", \"bbox\": [466, 198, 484, 208]}, {\"cell\": \"<i>BL2ht4</i>\", \"bbox\": [1, 212, 23, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 212, 88, 220]}, {\"cell\": \"–\", \"bbox\": [121, 212, 127, 220]}, {\"cell\": \"0.021\", \"bbox\": [206, 212, 225, 222]}, {\"cell\": \"0.028\", \"bbox\": [259, 212, 278, 222]}, {\"cell\": \"0.75 [0.32–1.76]\", \"bbox\": [311, 212, 362, 222]}, {\"cell\": \"0.508\", \"bbox\": [396, 212, 414, 222]}, {\"cell\": \"1.000\", \"bbox\": [466, 212, 484, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5732499_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}420{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Case</b></td><td><b>Age</b></td><td><b>Sex</b></td><td><b>Tumour localized</b></td><td><b>Histology</b></td><td><b>CD56</b></td><td><b>Clinical stage</b></td><td><b>Treatment</b></td><td><b>Follow-up</b></td></tr></thead><tbody><tr><td>1</td><td>57</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>III-B</td><td>Ct+Rt</td><td>DWD (10 m)</td></tr><tr><td>2</td><td>30</td><td>F</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>I-B</td><td>Ct+Rt</td><td>DWD (16 m)</td></tr><tr><td>3</td><td>42</td><td>F</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>IV-B</td><td>Ct</td><td>DWD (3 m)</td></tr><tr><td>4</td><td>32</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>II-A</td><td>Ct+Rt</td><td>DWD (8 m)</td></tr><tr><td>5</td><td>93</td><td>F</td><td>[EMPTY_CELL]</td><td>Large cells</td><td>+</td><td>II-B</td><td>Rt</td><td>DWD (1 m)</td></tr><tr><td>6</td><td>49</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>II-B</td><td>Ct+Rt</td><td>AWOD (16 m)</td></tr><tr><td>7</td><td>38</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>I-A</td><td>Ct+Rt</td><td>AWOD (10 m)</td></tr><tr><td>8</td><td>23</td><td>F</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>II-B</td><td>Ct+Rt</td><td>AWOD (12 m)</td></tr><tr><td>9</td><td>23</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>III-A</td><td>Ct+Rt</td><td>AWOD (60 m)</td></tr><tr><td>10</td><td>28</td><td>F</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>III-B</td><td>Ct+Rt</td><td>DWD (4 m)</td></tr><tr><td>11</td><td>67</td><td>F</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>III-B</td><td>Ct+Rt</td><td>DWD (36 m)</td></tr><tr><td>12</td><td>43</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>IV-B</td><td>Ct</td><td>DWD (1 m)</td></tr><tr><td>13</td><td>62</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>II-B</td><td>Rt</td><td>DWD (1 m)</td></tr><tr><td>14</td><td>66</td><td>M</td><td>[EMPTY_CELL]</td><td>Large cells</td><td>+</td><td>II-A</td><td>Ct+Rt</td><td>AWOD (60 m)</td></tr><tr><td>15</td><td>36</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>IV-B</td><td>Ct</td><td>DWD (1 m)</td></tr><tr><td>16</td><td>54</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>IV-B</td><td>Ct+Rt</td><td>DWD (3 m)</td></tr><tr><td>17</td><td>57</td><td>F</td><td>[EMPTY_CELL]</td><td>Large cells</td><td>+</td><td>IV-B</td><td>Rt</td><td>DWD (1 m)</td></tr><tr><td>18</td><td>63</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>I-A</td><td>Ct+Rt</td><td>AWD (132 m)</td></tr><tr><td>19</td><td>22</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>IV-B</td><td>None</td><td>DWD (1 m)</td></tr><tr><td>20</td><td>43</td><td>M</td><td>[EMPTY_CELL]</td><td>Mixture</td><td>+</td><td>IV-B</td><td>Ct</td><td>DWD (3 m)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Case</b>\", \"bbox\": [8, 5, 29, 14]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [42, 5, 59, 14]}, {\"cell\": \"<b>Sex</b>\", \"bbox\": [71, 5, 87, 14]}, {\"cell\": \"<b>Tumour localized</b>\", \"bbox\": [107, 5, 177, 14]}, {\"cell\": \"<b>Histology</b>\", \"bbox\": [199, 5, 238, 14]}, {\"cell\": \"<b>CD56</b>\", \"bbox\": [254, 5, 278, 14]}, {\"cell\": \"<b>Clinical stage</b>\", \"bbox\": [296, 5, 349, 14]}, {\"cell\": \"<b>Treatment</b>\", \"bbox\": [370, 5, 415, 14]}, {\"cell\": \"<b>Follow-up</b>\", \"bbox\": [442, 5, 482, 14]}, {\"cell\": \"1\", \"bbox\": [15, 27, 22, 36]}, {\"cell\": \"57\", \"bbox\": [45, 27, 56, 36]}, {\"cell\": \"M\", \"bbox\": [75, 27, 84, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 27, 153, 36]}, {\"cell\": \"Mixture\", \"bbox\": [204, 27, 233, 36]}, {\"cell\": \"+\", \"bbox\": [263, 27, 269, 36]}, {\"cell\": \"III-B\", \"bbox\": [315, 27, 331, 36]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 27, 404, 36]}, {\"cell\": \"DWD (10 m)\", \"bbox\": [439, 27, 486, 36]}, {\"cell\": \"2\", \"bbox\": [15, 37, 22, 47]}, {\"cell\": \"30\", \"bbox\": [45, 37, 56, 47]}, {\"cell\": \"F\", \"bbox\": [77, 37, 82, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 37, 163, 47]}, {\"cell\": \"Mixture\", \"bbox\": [204, 37, 233, 47]}, {\"cell\": \"+\", \"bbox\": [263, 37, 269, 47]}, {\"cell\": \"I-B\", \"bbox\": [317, 37, 329, 47]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 37, 404, 47]}, {\"cell\": \"DWD (16 m)\", \"bbox\": [439, 37, 486, 47]}, {\"cell\": \"3\", \"bbox\": [15, 47, 22, 57]}, {\"cell\": \"42\", \"bbox\": [45, 47, 56, 57]}, {\"cell\": \"F\", \"bbox\": [77, 47, 82, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 47, 163, 57]}, {\"cell\": \"Mixture\", \"bbox\": [204, 47, 233, 57]}, {\"cell\": \"+\", \"bbox\": [263, 47, 270, 57]}, {\"cell\": \"IV-B\", \"bbox\": [315, 47, 331, 57]}, {\"cell\": \"Ct\", \"bbox\": [387, 47, 398, 57]}, {\"cell\": \"DWD (3 m)\", \"bbox\": [441, 47, 484, 57]}, {\"cell\": \"4\", \"bbox\": [15, 57, 22, 67]}, {\"cell\": \"32\", \"bbox\": [45, 57, 56, 67]}, {\"cell\": \"M\", \"bbox\": [75, 57, 84, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 57, 153, 67]}, {\"cell\": \"Mixture\", \"bbox\": [204, 57, 233, 67]}, {\"cell\": \"+\", \"bbox\": [263, 57, 270, 67]}, {\"cell\": \"II-A\", \"bbox\": [316, 57, 330, 67]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 57, 404, 67]}, {\"cell\": \"DWD (8 m)\", \"bbox\": [441, 57, 484, 67]}, {\"cell\": \"5\", \"bbox\": [15, 68, 22, 77]}, {\"cell\": \"93\", \"bbox\": [45, 68, 56, 77]}, {\"cell\": \"F\", \"bbox\": [77, 68, 82, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 68, 163, 77]}, {\"cell\": \"Large cells\", \"bbox\": [200, 68, 237, 77]}, {\"cell\": \"+\", \"bbox\": [263, 68, 270, 77]}, {\"cell\": \"II-B\", \"bbox\": [316, 68, 330, 77]}, {\"cell\": \"Rt\", \"bbox\": [388, 68, 397, 77]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 68, 484, 77]}, {\"cell\": \"6\", \"bbox\": [15, 78, 22, 88]}, {\"cell\": \"49\", \"bbox\": [45, 78, 56, 88]}, {\"cell\": \"M\", \"bbox\": [75, 78, 84, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 78, 163, 88]}, {\"cell\": \"Mixture\", \"bbox\": [204, 78, 233, 88]}, {\"cell\": \"+\", \"bbox\": [263, 78, 269, 88]}, {\"cell\": \"II-B\", \"bbox\": [316, 78, 330, 88]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 78, 404, 88]}, {\"cell\": \"AWOD (16 m)\", \"bbox\": [436, 78, 489, 88]}, {\"cell\": \"7\", \"bbox\": [15, 88, 22, 98]}, {\"cell\": \"38\", \"bbox\": [45, 88, 56, 98]}, {\"cell\": \"M\", \"bbox\": [75, 88, 84, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 88, 165, 98]}, {\"cell\": \"Mixture\", \"bbox\": [204, 88, 233, 98]}, {\"cell\": \"+\", \"bbox\": [263, 88, 269, 98]}, {\"cell\": \"I-A\", \"bbox\": [317, 88, 329, 98]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 88, 404, 98]}, {\"cell\": \"AWOD (10 m)\", \"bbox\": [436, 88, 489, 98]}, {\"cell\": \"8\", \"bbox\": [15, 99, 22, 108]}, {\"cell\": \"23\", \"bbox\": [45, 99, 56, 108]}, {\"cell\": \"F\", \"bbox\": [77, 99, 82, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 99, 153, 108]}, {\"cell\": \"Mixture\", \"bbox\": [204, 99, 233, 108]}, {\"cell\": \"+\", \"bbox\": [263, 99, 269, 108]}, {\"cell\": \"II-B\", \"bbox\": [316, 99, 330, 108]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 99, 404, 108]}, {\"cell\": \"AWOD (12 m)\", \"bbox\": [436, 99, 489, 108]}, {\"cell\": \"9\", \"bbox\": [15, 109, 22, 118]}, {\"cell\": \"23\", \"bbox\": [45, 109, 56, 118]}, {\"cell\": \"M\", \"bbox\": [75, 109, 84, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 109, 165, 118]}, {\"cell\": \"Mixture\", \"bbox\": [204, 109, 233, 118]}, {\"cell\": \"+\", \"bbox\": [263, 109, 269, 118]}, {\"cell\": \"III-A\", \"bbox\": [315, 109, 331, 118]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 109, 404, 118]}, {\"cell\": \"AWOD (60 m)\", \"bbox\": [436, 109, 489, 118]}, {\"cell\": \"10\", \"bbox\": [13, 119, 24, 129]}, {\"cell\": \"28\", \"bbox\": [45, 119, 56, 129]}, {\"cell\": \"F\", \"bbox\": [77, 119, 82, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 119, 163, 129]}, {\"cell\": \"Mixture\", \"bbox\": [204, 119, 233, 129]}, {\"cell\": \"+\", \"bbox\": [263, 119, 270, 129]}, {\"cell\": \"III-B\", \"bbox\": [315, 119, 331, 129]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 119, 404, 129]}, {\"cell\": \"DWD (4 m)\", \"bbox\": [441, 119, 484, 129]}, {\"cell\": \"11\", \"bbox\": [13, 129, 24, 139]}, {\"cell\": \"67\", \"bbox\": [45, 129, 56, 139]}, {\"cell\": \"F\", \"bbox\": [77, 129, 82, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [119, 129, 165, 139]}, {\"cell\": \"Mixture\", \"bbox\": [204, 129, 233, 139]}, {\"cell\": \"+\", \"bbox\": [263, 129, 269, 139]}, {\"cell\": \"III-B\", \"bbox\": [315, 129, 331, 139]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 129, 404, 139]}, {\"cell\": \"DWD (36 m)\", \"bbox\": [439, 129, 486, 139]}, {\"cell\": \"12\", \"bbox\": [13, 140, 24, 149]}, {\"cell\": \"43\", \"bbox\": [45, 140, 56, 149]}, {\"cell\": \"M\", \"bbox\": [75, 140, 84, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 140, 163, 149]}, {\"cell\": \"Mixture\", \"bbox\": [204, 140, 233, 149]}, {\"cell\": \"+\", \"bbox\": [263, 140, 270, 149]}, {\"cell\": \"IV-B\", \"bbox\": [315, 140, 331, 149]}, {\"cell\": \"Ct\", \"bbox\": [387, 140, 398, 149]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 140, 484, 149]}, {\"cell\": \"13\", \"bbox\": [13, 150, 24, 159]}, {\"cell\": \"62\", \"bbox\": [45, 150, 56, 159]}, {\"cell\": \"M\", \"bbox\": [75, 150, 84, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 150, 163, 159]}, {\"cell\": \"Mixture\", \"bbox\": [204, 150, 233, 159]}, {\"cell\": \"+\", \"bbox\": [263, 150, 270, 159]}, {\"cell\": \"II-B\", \"bbox\": [316, 150, 330, 159]}, {\"cell\": \"Rt\", \"bbox\": [388, 150, 397, 159]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 150, 484, 159]}, {\"cell\": \"14\", \"bbox\": [13, 160, 24, 170]}, {\"cell\": \"66\", \"bbox\": [45, 160, 56, 170]}, {\"cell\": \"M\", \"bbox\": [75, 160, 84, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 160, 163, 170]}, {\"cell\": \"Large cells\", \"bbox\": [200, 160, 237, 170]}, {\"cell\": \"+\", \"bbox\": [263, 160, 270, 170]}, {\"cell\": \"II-A\", \"bbox\": [316, 160, 330, 170]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 160, 404, 170]}, {\"cell\": \"AWOD (60 m)\", \"bbox\": [436, 160, 489, 170]}, {\"cell\": \"15\", \"bbox\": [13, 170, 24, 180]}, {\"cell\": \"36\", \"bbox\": [45, 170, 56, 180]}, {\"cell\": \"M\", \"bbox\": [75, 170, 84, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 170, 163, 180]}, {\"cell\": \"Mixture\", \"bbox\": [204, 170, 233, 180]}, {\"cell\": \"+\", \"bbox\": [263, 170, 270, 180]}, {\"cell\": \"IV-B\", \"bbox\": [315, 170, 331, 180]}, {\"cell\": \"Ct\", \"bbox\": [387, 170, 398, 180]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 170, 484, 180]}, {\"cell\": \"16\", \"bbox\": [13, 180, 24, 190]}, {\"cell\": \"54\", \"bbox\": [45, 180, 56, 190]}, {\"cell\": \"M\", \"bbox\": [75, 180, 84, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 180, 163, 190]}, {\"cell\": \"Mixture\", \"bbox\": [204, 180, 233, 190]}, {\"cell\": \"+\", \"bbox\": [263, 180, 270, 190]}, {\"cell\": \"IV-B\", \"bbox\": [315, 180, 331, 190]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 180, 404, 190]}, {\"cell\": \"DWD (3 m)\", \"bbox\": [441, 180, 484, 190]}, {\"cell\": \"17\", \"bbox\": [13, 191, 24, 200]}, {\"cell\": \"57\", \"bbox\": [45, 191, 56, 200]}, {\"cell\": \"F\", \"bbox\": [77, 191, 82, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 191, 163, 200]}, {\"cell\": \"Large cells\", \"bbox\": [200, 191, 237, 200]}, {\"cell\": \"+\", \"bbox\": [263, 191, 270, 200]}, {\"cell\": \"IV-B\", \"bbox\": [315, 191, 331, 200]}, {\"cell\": \"Rt\", \"bbox\": [388, 191, 397, 200]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 191, 484, 200]}, {\"cell\": \"18\", \"bbox\": [13, 201, 24, 211]}, {\"cell\": \"63\", \"bbox\": [45, 201, 56, 211]}, {\"cell\": \"M\", \"bbox\": [75, 201, 84, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 201, 163, 211]}, {\"cell\": \"Mixture\", \"bbox\": [204, 201, 233, 211]}, {\"cell\": \"+\", \"bbox\": [263, 201, 269, 211]}, {\"cell\": \"I-A\", \"bbox\": [317, 201, 329, 211]}, {\"cell\": \"Ct+Rt\", \"bbox\": [381, 201, 404, 211]}, {\"cell\": \"AWD (132 m)\", \"bbox\": [437, 201, 488, 211]}, {\"cell\": \"19\", \"bbox\": [13, 211, 24, 221]}, {\"cell\": \"22\", \"bbox\": [45, 211, 56, 221]}, {\"cell\": \"M\", \"bbox\": [75, 211, 84, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 211, 163, 221]}, {\"cell\": \"Mixture\", \"bbox\": [204, 211, 233, 221]}, {\"cell\": \"+\", \"bbox\": [263, 211, 270, 221]}, {\"cell\": \"IV-B\", \"bbox\": [315, 211, 331, 221]}, {\"cell\": \"None\", \"bbox\": [382, 211, 403, 221]}, {\"cell\": \"DWD (1 m)\", \"bbox\": [441, 211, 484, 221]}, {\"cell\": \"20\", \"bbox\": [13, 222, 24, 231]}, {\"cell\": \"43\", \"bbox\": [45, 222, 56, 231]}, {\"cell\": \"M\", \"bbox\": [75, 222, 84, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 222, 153, 231]}, {\"cell\": \"Mixture\", \"bbox\": [204, 222, 233, 231]}, {\"cell\": \"+\", \"bbox\": [263, 222, 270, 231]}, {\"cell\": \"IV-B\", \"bbox\": [315, 222, 331, 231]}, {\"cell\": \"Ct\", \"bbox\": [387, 222, 398, 231]}, {\"cell\": \"DWD (3 m)\", \"bbox\": [441, 222, 484, 231]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2582239_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}421{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Expression status</b></td><td><b>Intracellular expression localization</b></td><td><b>Proteins</b></td></tr></thead><tbody><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>Nuclear</td><td>VEGFA, TYMP, KDR, KDRp34, FIH, EPHB4, PHD1, SOD1, FGF, P53, SP1, STAT3, MEF2D, JMY, GST, CHGA</td></tr><tr><td>[EMPTY_CELL]</td><td>HIF1, HIF2, VEGFA, TYMP, KDR, KDRp34, FIH, PHD1, SOD1, CXCR4, EPHB4, BCL2, EGF, EGFR, FGF, BNIP3, PI3, SP1, LON, MEF2D, GST, CHGA, SYP</td></tr><tr><td>[EMPTY_CELL]</td><td>CA9, MEF2D</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>Nuclear</td><td>HIF1, PHD2, PHD3, CXCR4, BNIP3, PI3, EGF, FOS</td></tr><tr><td>[EMPTY_CELL]</td><td>PHD2, TSP (stroma), DLL4 (endothelium), FOS, STAT3</td></tr><tr><td>[EMPTY_CELL]</td><td>None</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>Nuclear</td><td>EPHB2, EPHB3,TRAP1</td></tr><tr><td>[EMPTY_CELL]</td><td>CA9, PHD3, EPHB2, EPHB3, NCAM, P53, TRAP1, JMY</td></tr><tr><td>[EMPTY_CELL]</td><td>EPHB3, GST</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Expression status</b>\", \"bbox\": [1, 4, 62, 14]}, {\"cell\": \"<b>Intracellular expression localization</b>\", \"bbox\": [163, 4, 244, 23]}, {\"cell\": \"<b>Proteins</b>\", \"bbox\": [256, 4, 286, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 31, 126, 41]}, {\"cell\": \"Nuclear\", \"bbox\": [163, 31, 189, 41]}, {\"cell\": \"VEGFA, TYMP, KDR, KDRp34, FIH, EPHB4, PHD1, SOD1, FGF, P53, SP1, STAT3, MEF2D, JMY, GST, CHGA\", \"bbox\": [256, 31, 469, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 52, 199, 62]}, {\"cell\": \"HIF1, HIF2, VEGFA, TYMP, KDR, KDRp34, FIH, PHD1, SOD1, CXCR4, EPHB4, BCL2, EGF, EGFR, FGF, BNIP3, PI3, SP1, LON, MEF2D, GST, CHGA, SYP\", \"bbox\": [256, 52, 484, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 74, 200, 83]}, {\"cell\": \"CA9, MEF2D\", \"bbox\": [256, 74, 297, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 151, 113]}, {\"cell\": \"Nuclear\", \"bbox\": [163, 86, 189, 95]}, {\"cell\": \"HIF1, PHD2, PHD3, CXCR4, BNIP3, PI3, EGF, FOS\", \"bbox\": [256, 86, 404, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 98, 199, 107]}, {\"cell\": \"PHD2, TSP (stroma), DLL4 (endothelium), FOS, STAT3\", \"bbox\": [256, 98, 423, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 110, 200, 119]}, {\"cell\": \"None\", \"bbox\": [256, 110, 275, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 149, 149]}, {\"cell\": \"Nuclear\", \"bbox\": [163, 122, 189, 131]}, {\"cell\": \"EPHB2, EPHB3,TRAP1\", \"bbox\": [256, 122, 324, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 134, 199, 143]}, {\"cell\": \"CA9, PHD3, EPHB2, EPHB3, NCAM, P53, TRAP1, JMY\", \"bbox\": [256, 134, 418, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 146, 200, 156]}, {\"cell\": \"EPHB3, GST\", \"bbox\": [256, 146, 294, 156]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4752802_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}422{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Programmable Nuclease</b></td><td><b>Excision Method</b></td><td><b>Host Cell</b></td><td><b>Target</b></td><td><b>Edits Introduced</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>ZFN</td><td>Cre/<i>loxP</i></td><td>[EMPTY_CELL]</td><td><i>SNCA</i></td><td>1 bp substitution and <i>loxP</i> site insertion</td><td>[17]</td></tr><tr><td>ZFN</td><td><i>piggyBac</i></td><td>[EMPTY_CELL]</td><td><i>A1AT</i></td><td>1 bp substitution of interest and 2 to generate TTAA site </td><td>[20]</td></tr><tr><td>CRISPR</td><td><i>piggyBac</i></td><td>[EMPTY_CELL]</td><td><i>HBB</i></td><td>1 bp substitution and 4 bp insertion *</td><td>[15]</td></tr><tr><td>TALEN</td><td><i>piggyBac</i></td><td>[EMPTY_CELL]</td><td><i>HBB</i></td><td>3 bp substitutions</td><td>[21]</td></tr><tr><td>TALEN</td><td>TALEN</td><td>[EMPTY_CELL]</td><td>Interge region (upstream of <i>BUBR1</i>)</td><td>1 bp substitution</td><td>[5]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Programmable Nuclease</b>\", \"bbox\": [7, 7, 73, 33]}, {\"cell\": \"<b>Excision Method</b>\", \"bbox\": [83, 7, 121, 33]}, {\"cell\": \"<b>Host Cell</b>\", \"bbox\": [141, 7, 163, 33]}, {\"cell\": \"<b>Target</b>\", \"bbox\": [211, 14, 242, 25]}, {\"cell\": \"<b>Edits Introduced</b>\", \"bbox\": [320, 14, 395, 25]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [444, 14, 489, 25]}, {\"cell\": \"ZFN\", \"bbox\": [29, 45, 50, 56]}, {\"cell\": \"Cre/<i>loxP</i>\", \"bbox\": [84, 45, 121, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 37, 160, 63]}, {\"cell\": \"<i>SNCA</i>\", \"bbox\": [213, 45, 240, 56]}, {\"cell\": \"1 bp substitution and <i>loxP</i> site insertion\", \"bbox\": [296, 37, 419, 63]}, {\"cell\": \"[17]\", \"bbox\": [457, 45, 476, 56]}, {\"cell\": \"ZFN\", \"bbox\": [29, 75, 50, 86]}, {\"cell\": \"<i>piggyBac</i>\", \"bbox\": [83, 75, 122, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 75, 160, 86]}, {\"cell\": \"<i>A1AT</i>\", \"bbox\": [214, 75, 239, 86]}, {\"cell\": \"1 bp substitution of interest and 2 to generate TTAA site \", \"bbox\": [284, 67, 431, 93]}, {\"cell\": \"[20]\", \"bbox\": [457, 75, 476, 86]}, {\"cell\": \"CRISPR\", \"bbox\": [22, 99, 58, 110]}, {\"cell\": \"<i>piggyBac</i>\", \"bbox\": [83, 99, 122, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 99, 160, 110]}, {\"cell\": \"<i>HBB</i>\", \"bbox\": [216, 99, 237, 110]}, {\"cell\": \"1 bp substitution and 4 bp insertion *\", \"bbox\": [282, 99, 433, 110]}, {\"cell\": \"[15]\", \"bbox\": [457, 99, 476, 110]}, {\"cell\": \"TALEN\", \"bbox\": [23, 117, 57, 128]}, {\"cell\": \"<i>piggyBac</i>\", \"bbox\": [83, 117, 122, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 117, 160, 128]}, {\"cell\": \"<i>HBB</i>\", \"bbox\": [216, 117, 237, 128]}, {\"cell\": \"3 bp substitutions\", \"bbox\": [321, 117, 394, 128]}, {\"cell\": \"[21]\", \"bbox\": [457, 117, 476, 128]}, {\"cell\": \"TALEN\", \"bbox\": [23, 141, 57, 152]}, {\"cell\": \"TALEN\", \"bbox\": [85, 141, 120, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 141, 171, 152]}, {\"cell\": \"Interge region (upstream of <i>BUBR1</i>)\", \"bbox\": [182, 133, 271, 159]}, {\"cell\": \"1 bp substitution\", \"bbox\": [323, 141, 392, 152]}, {\"cell\": \"[5]\", \"bbox\": [460, 141, 473, 152]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4613245_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}423{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"4\\\"><b>Father</b></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Mother</b></td></tr><tr><td><b>Not at all true (0)</b></td><td><b>Somewhat true (1)</b></td><td><b>True (2)</b></td><td><b>Very true (3)</b></td><td><b>Not at all true (0)</b></td><td><b>Somewhat true (1)</b></td><td><b>True (2)</b></td><td><b>Very true (3)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1. This parent warns me about potential dangers, to prevent accidents from happening</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2. When I am anxious to do something, this parent cannot conceal his/her worries</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3. This parent explicitly warns me that I should be careful when I leave home</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4. This parent warns me that I should never talk to strangers because of bad things that might happen</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>5. When this parent is scared, his/her body language reveals his/her fear (e.g., fidgeting hands, sweating, trembling, touching neck or face)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>6. This parent shows when he/she is in panic in my presence</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7. When this parent is scared, he/she has a fearful expression on his/her face in my presence</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>8. This parent shows me that he/she is afraid to do certain things</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9. This parent warns me explicitly that I should avoid dangerous situations</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>10. This parent tells me that the world is not always a safe place</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>11. Even if this parent tries to hide his/her fear, I can still see that he/she is anxious</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>12. When I do something new or go to a new place, this parent warns me about the things that could go wrong</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>13. This parent points out to me that an accident can always happen</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>14. This parent warns me explicitly not to go along with unfamiliar people</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Father</b>\", \"bbox\": [0, 5, 24, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mother</b>\", \"bbox\": [363, 5, 390, 15]}, {\"cell\": \"<b>Not at all true (0)</b>\", \"bbox\": [0, 22, 27, 51]}, {\"cell\": \"<b>Somewhat true (1)</b>\", \"bbox\": [37, 22, 74, 41]}, {\"cell\": \"<b>True (2)</b>\", \"bbox\": [84, 22, 102, 41]}, {\"cell\": \"<b>Very true (3)</b>\", \"bbox\": [111, 22, 130, 51]}, {\"cell\": \"<b>Not at all true (0)</b>\", \"bbox\": [363, 22, 389, 51]}, {\"cell\": \"<b>Somewhat true (1)</b>\", \"bbox\": [399, 22, 437, 41]}, {\"cell\": \"<b>True (2)</b>\", \"bbox\": [446, 22, 464, 41]}, {\"cell\": \"<b>Very true (3)</b>\", \"bbox\": [473, 22, 492, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1. This parent warns me about potential dangers, to prevent accidents from happening\", \"bbox\": [140, 60, 350, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2. When I am anxious to do something, this parent cannot conceal his/her worries\", \"bbox\": [140, 83, 345, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3. This parent explicitly warns me that I should be careful when I leave home\", \"bbox\": [140, 106, 346, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4. This parent warns me that I should never talk to strangers because of bad things that might happen\", \"bbox\": [140, 129, 354, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5. When this parent is scared, his/her body language reveals his/her fear (e.g., fidgeting hands, sweating, trembling, touching neck or face)\", \"bbox\": [140, 151, 352, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6. This parent shows when he/she is in panic in my presence\", \"bbox\": [140, 184, 355, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7. When this parent is scared, he/she has a fearful expression on his/her face in my presence\", \"bbox\": [140, 197, 356, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8. This parent shows me that he/she is afraid to do certain things\", \"bbox\": [140, 219, 346, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9. This parent warns me explicitly that I should avoid dangerous situations\", \"bbox\": [140, 242, 330, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10. This parent tells me that the world is not always a safe place\", \"bbox\": [140, 265, 348, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11. Even if this parent tries to hide his/her fear, I can still see that he/she is anxious\", \"bbox\": [140, 288, 356, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12. When I do something new or go to a new place, this parent warns me about the things that could go wrong\", \"bbox\": [140, 310, 356, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13. This parent points out to me that an accident can always happen\", \"bbox\": [140, 333, 353, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14. This parent warns me explicitly not to go along with unfamiliar people\", \"bbox\": [140, 356, 340, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5243885_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}424{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>EPRP mnemonic</b></td><td><b>Short description</b></td></tr></thead><tbody><tr><td>c7n</td><td>[EMPTY_CELL]</td></tr><tr><td>Dmg23</td><td>[EMPTY_CELL]</td></tr><tr><td>Dmg28</td><td>[EMPTY_CELL]</td></tr><tr><td>Dmg31h</td><td>[EMPTY_CELL]</td></tr><tr><td>Dmg7n</td><td>[EMPTY_CELL]</td></tr><tr><td>htn10</td><td>[EMPTY_CELL]</td></tr><tr><td>htn9</td><td>[EMPTY_CELL]</td></tr><tr><td>p1</td><td>[EMPTY_CELL]</td></tr><tr><td>p22</td><td>[EMPTY_CELL]</td></tr><tr><td>p3h</td><td>[EMPTY_CELL]</td></tr><tr><td>p4h</td><td>[EMPTY_CELL]</td></tr><tr><td>p6h</td><td>[EMPTY_CELL]</td></tr><tr><td>smg2n</td><td>[EMPTY_CELL]</td></tr><tr><td>smg6</td><td>[EMPTY_CELL]</td></tr><tr><td>smg7</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>EPRP mnemonic</b>\", \"bbox\": [1, 4, 55, 13]}, {\"cell\": \"<b>Short description</b>\", \"bbox\": [79, 4, 135, 13]}, {\"cell\": \"c7n\", \"bbox\": [1, 17, 14, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 17, 169, 36]}, {\"cell\": \"Dmg23\", \"bbox\": [1, 40, 26, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 40, 210, 59]}, {\"cell\": \"Dmg28\", \"bbox\": [1, 63, 26, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 63, 217, 73]}, {\"cell\": \"Dmg31h\", \"bbox\": [1, 77, 30, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 77, 171, 96]}, {\"cell\": \"Dmg7n\", \"bbox\": [1, 100, 27, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 100, 168, 110]}, {\"cell\": \"htn10\", \"bbox\": [1, 114, 21, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 114, 182, 133]}, {\"cell\": \"htn9\", \"bbox\": [1, 137, 17, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 137, 171, 156]}, {\"cell\": \"p1\", \"bbox\": [1, 160, 11, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 160, 177, 179]}, {\"cell\": \"p22\", \"bbox\": [1, 183, 14, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 183, 194, 202]}, {\"cell\": \"p3h\", \"bbox\": [1, 206, 15, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 206, 188, 225]}, {\"cell\": \"p4h\", \"bbox\": [1, 229, 15, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 229, 200, 248]}, {\"cell\": \"p6h\", \"bbox\": [1, 252, 15, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 252, 194, 271]}, {\"cell\": \"smg2n\", \"bbox\": [1, 275, 24, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 275, 197, 294]}, {\"cell\": \"smg6\", \"bbox\": [1, 298, 20, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 298, 236, 317]}, {\"cell\": \"smg7\", \"bbox\": [1, 321, 20, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 321, 163, 340]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5975441_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}425{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variables</b></td><td rowspan=\\\"2\\\"><b>No. of patients</b></td><td colspan=\\\"2\\\"><b>OS</b></td><td colspan=\\\"2\\\"><b>DFS</b></td></tr><tr><td><b>HR(95% CI)</b></td><td><b><i>p</i> value</b></td><td><b>HR(95% CI)</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td>Sex</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>0.04</b>*</td><td>[EMPTY_CELL]</td><td>0.14</td></tr><tr><td> Female</td><td>[EMPTY_CELL]</td><td>0.22(0.06-0.90)</td><td>[EMPTY_CELL]</td><td>0.44(0.15-1.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Age, y</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.71</td><td>[EMPTY_CELL]</td><td>0.60</td></tr><tr><td> ≤60</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> >60</td><td>[EMPTY_CELL]</td><td>1.08(0.71-1.64)</td><td>[EMPTY_CELL]</td><td>1.12(0.75-1.66)</td><td>[EMPTY_CELL]</td></tr><tr><td>Smoking status</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.54</td><td>[EMPTY_CELL]</td><td>0.43</td></tr><tr><td> Non or ex-smokers</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> Smokers</td><td>[EMPTY_CELL]</td><td>1.28(0.87-1.79)</td><td>[EMPTY_CELL]</td><td>1.29(0.79-2.16)</td><td>[EMPTY_CELL]</td></tr><tr><td>Cancer sites</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.73</td><td>[EMPTY_CELL]</td><td>0.56</td></tr><tr><td> Glottic</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> Supraglottic</td><td>[EMPTY_CELL]</td><td>1.12(0.78-1.86)</td><td>[EMPTY_CELL]</td><td>1.24(0.46-1.89)</td><td>[EMPTY_CELL]</td></tr><tr><td> Subglottic</td><td>[EMPTY_CELL]</td><td>1.27(0.86-2.03)</td><td>[EMPTY_CELL]</td><td>1.36(0.55-2.27)</td><td>[EMPTY_CELL]</td></tr><tr><td>T classification</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>0.04</b>*</td><td>[EMPTY_CELL]</td><td><b>0.03</b>*</td></tr><tr><td> T1+2</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> T3+4</td><td>[EMPTY_CELL]</td><td>1.55(1.10-2.23)</td><td>[EMPTY_CELL]</td><td>1.89(1.26-2.57)</td><td>[EMPTY_CELL]</td></tr><tr><td>Nodal classification</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>0.001</b>*</td><td>[EMPTY_CELL]</td><td><b>0.001</b>*</td></tr><tr><td> N0</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> N+</td><td>[EMPTY_CELL]</td><td>2.09(1.38-3.17)</td><td>[EMPTY_CELL]</td><td>1.77(1.21-2.54)</td><td>[EMPTY_CELL]</td></tr><tr><td>Histological grade</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>0.03</b>*</td><td>[EMPTY_CELL]</td><td><b>0.02</b>*</td></tr><tr><td> Low</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> High</td><td>[EMPTY_CELL]</td><td>1.32(1.16-2.04)</td><td>[EMPTY_CELL]</td><td>1.47(1.21-2.10)</td><td>[EMPTY_CELL]</td></tr><tr><td>ALB/GLB Ratio</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>0.02</b>*</td><td>[EMPTY_CELL]</td><td><b>0.006</b>*</td></tr><tr><td> <1.28</td><td>[EMPTY_CELL]</td><td>1.67(1.10-2.54)</td><td>[EMPTY_CELL]</td><td>1.80(1.21-2.67)</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥1.28</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [4, 14, 46, 25]}, {\"cell\": \"<b>No. of patients</b>\", \"bbox\": [131, 14, 195, 25]}, {\"cell\": \"<b>OS</b>\", \"bbox\": [267, 6, 283, 16]}, {\"cell\": \"<b>DFS</b>\", \"bbox\": [414, 6, 434, 16]}, {\"cell\": \"<b>HR(95% CI)</b>\", \"bbox\": [209, 22, 266, 33]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [296, 22, 328, 33]}, {\"cell\": \"<b>HR(95% CI)</b>\", \"bbox\": [358, 22, 415, 33]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [445, 22, 477, 33]}, {\"cell\": \"Sex\", \"bbox\": [3, 40, 20, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0.04</b>*\", \"bbox\": [300, 40, 324, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.14\", \"bbox\": [451, 40, 471, 51]}, {\"cell\": \" Female\", \"bbox\": [13, 57, 45, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 57, 169, 68]}, {\"cell\": \"0.22(0.06-0.90)\", \"bbox\": [205, 57, 270, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.44(0.15-1.2)\", \"bbox\": [357, 57, 416, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [13, 74, 36, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 74, 172, 85]}, {\"cell\": \"1\", \"bbox\": [234, 74, 241, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 74, 390, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age, y\", \"bbox\": [3, 91, 32, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.71\", \"bbox\": [302, 91, 322, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.60\", \"bbox\": [451, 91, 471, 102]}, {\"cell\": \" ≤60\", \"bbox\": [13, 104, 31, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 108, 172, 119]}, {\"cell\": \"1\", \"bbox\": [234, 108, 241, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 108, 390, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >60\", \"bbox\": [13, 124, 31, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 124, 172, 136]}, {\"cell\": \"1.08(0.71-1.64)\", \"bbox\": [205, 124, 270, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.12(0.75-1.66)\", \"bbox\": [354, 124, 419, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smoking status\", \"bbox\": [3, 141, 67, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.54\", \"bbox\": [302, 141, 322, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.43\", \"bbox\": [451, 141, 471, 152]}, {\"cell\": \" Non or ex-smokers\", \"bbox\": [13, 158, 92, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 158, 169, 169]}, {\"cell\": \"1\", \"bbox\": [234, 158, 241, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 158, 390, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Smokers\", \"bbox\": [13, 175, 51, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 175, 172, 186]}, {\"cell\": \"1.28(0.87-1.79)\", \"bbox\": [205, 175, 270, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.29(0.79-2.16)\", \"bbox\": [354, 175, 419, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cancer sites\", \"bbox\": [3, 192, 54, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.73\", \"bbox\": [302, 192, 322, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.56\", \"bbox\": [451, 192, 471, 203]}, {\"cell\": \" Glottic\", \"bbox\": [13, 209, 43, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 209, 172, 220]}, {\"cell\": \"1\", \"bbox\": [234, 209, 241, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 209, 390, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Supraglottic\", \"bbox\": [13, 226, 64, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 226, 169, 237]}, {\"cell\": \"1.12(0.78-1.86)\", \"bbox\": [205, 226, 270, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.24(0.46-1.89)\", \"bbox\": [354, 226, 419, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Subglottic\", \"bbox\": [13, 243, 57, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 243, 169, 254]}, {\"cell\": \"1.27(0.86-2.03)\", \"bbox\": [205, 243, 270, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.36(0.55-2.27)\", \"bbox\": [354, 243, 419, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T classification\", \"bbox\": [3, 256, 66, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0.04</b>*\", \"bbox\": [300, 260, 324, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0.03</b>*\", \"bbox\": [449, 260, 473, 271]}, {\"cell\": \" T1+2\", \"bbox\": [13, 277, 37, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 277, 172, 288]}, {\"cell\": \"1\", \"bbox\": [234, 277, 241, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 277, 390, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" T3+4\", \"bbox\": [13, 294, 37, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 294, 169, 305]}, {\"cell\": \"1.55(1.10-2.23)\", \"bbox\": [205, 294, 270, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.89(1.26-2.57)\", \"bbox\": [354, 294, 419, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nodal classification\", \"bbox\": [3, 307, 85, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0.001</b>*\", \"bbox\": [297, 311, 327, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0.001</b>*\", \"bbox\": [446, 311, 476, 322]}, {\"cell\": \" N0\", \"bbox\": [13, 328, 28, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 328, 172, 339]}, {\"cell\": \"1\", \"bbox\": [234, 328, 241, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 328, 390, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" N+\", \"bbox\": [13, 345, 28, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 345, 169, 356]}, {\"cell\": \"2.09(1.38-3.17)\", \"bbox\": [205, 345, 270, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.77(1.21-2.54)\", \"bbox\": [354, 345, 419, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histological grade\", \"bbox\": [3, 362, 79, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0.03</b>*\", \"bbox\": [300, 362, 324, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0.02</b>*\", \"bbox\": [449, 362, 473, 373]}, {\"cell\": \" Low\", \"bbox\": [13, 378, 34, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 378, 172, 390]}, {\"cell\": \"1\", \"bbox\": [234, 378, 241, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 378, 390, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [13, 395, 35, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 395, 172, 406]}, {\"cell\": \"1.32(1.16-2.04)\", \"bbox\": [205, 395, 270, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.47(1.21-2.10)\", \"bbox\": [354, 395, 419, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ALB/GLB Ratio\", \"bbox\": [3, 412, 72, 423]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0.02</b>*\", \"bbox\": [300, 412, 324, 423]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0.006</b>*\", \"bbox\": [446, 412, 476, 423]}, {\"cell\": \" <1.28\", \"bbox\": [13, 429, 39, 440]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 429, 169, 440]}, {\"cell\": \"1.67(1.10-2.54)\", \"bbox\": [205, 429, 270, 440]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.80(1.21-2.67)\", \"bbox\": [354, 429, 419, 440]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥1.28\", \"bbox\": [13, 443, 38, 458]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 446, 172, 457]}, {\"cell\": \"1\", \"bbox\": [234, 446, 241, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [383, 446, 390, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5564641_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}426{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Contrast</b></td><td><b>Authors</b></td><td><b>Task</b></td><td><b>Number of subjects</b></td><td><b>Number of Foci</b></td><td><b>Statistical threshold</b></td><td><b>Smoothing FWHM (mm)</b></td></tr></thead><tbody><tr><td>Task > Control</td><td>Banko et al., 2011</td><td>Face recognition</td><td>16</td><td>4</td><td>FDR 0.05</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Bode et al., 2012</td><td>Object recognition</td><td>14</td><td>1</td><td>FWE 0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Ivanoff et al., 2008</td><td>RDM motion discrimination</td><td>22</td><td>49</td><td>FDR 0.05</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Kahnt et al., 2011</td><td>Gabor patch orientation discrimination</td><td>20</td><td>7</td><td>Unc. 0.0001</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Lewis et al., 2000</td><td>Auditory motion discrimination</td><td>10</td><td>9</td><td>Unc. 1 × 10<sup>−5</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>RDM discrimination</td><td>9</td><td>10</td><td>Unc. 1 × 10<sup>−11</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Lundblad et al., 2011</td><td>Tactile motion discrimination</td><td>16</td><td>24</td><td>FWE 0.05</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Singh and Fawcett, 2008<sup>*</sup></td><td>RDM discrimination</td><td>7</td><td>30</td><td>Cluster 0.01</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Snyder et al., 2011</td><td>RDM discrimination</td><td>10</td><td>15</td><td>FDR 0.05</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Object recognition</td><td>10</td><td>11</td><td>FDR 0.05</td><td>[EMPTY_CELL]</td></tr><tr><td>Hard > Easy</td><td>Banko et al., 2011</td><td>Face recognition</td><td>16</td><td>10</td><td>FDR 0.05</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Bode et al., 2012</td><td>Object recognition</td><td>14</td><td>1</td><td>FWE 0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Fleming et al., 2010<sup>*</sup></td><td>Face vs house discrimination</td><td>14</td><td>2</td><td>Cluster 0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Heekeren et al., 2004</td><td>Face vs house discrimination</td><td>12</td><td>14</td><td>Unc. 0.0001</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Heekeren et al., 2006<sup>*</sup></td><td>RDM discrimination</td><td>8</td><td>5</td><td>Unc. 0.005</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Ho et al., 2009</td><td>RDM discrimination</td><td>11</td><td>11</td><td>FDR 0.05</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Kayser et al., 2010a</td><td>RDM discrimination</td><td>5</td><td>22</td><td>Unc. 0.0001</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Color discrimination</td><td>5</td><td>18</td><td>Unc. 0.0001</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Kayser et al., 2010b</td><td>RDM discrimination</td><td>6</td><td>25</td><td>Unc. 0.0001</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Noppeney et al., 2010</td><td>Object recognition</td><td>19</td><td>9</td><td>Cluster 0.05</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Philiastides and Sajda, 2007<sup>*</sup></td><td>Face vs. cars discrimination</td><td>12</td><td>5</td><td>Cluster 0.05</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Sunaert et al., 2000</td><td>RDM discrimination</td><td>8</td><td>5</td><td>Cluster 0.05</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Tosoni et al., 2008<sup>*</sup></td><td>Face vs. house discrimination</td><td>12</td><td>18</td><td>Unc. 0.05</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Contrast</b>\", \"bbox\": [0, 6, 33, 15]}, {\"cell\": \"<b>Authors</b>\", \"bbox\": [59, 6, 90, 15]}, {\"cell\": \"<b>Task</b>\", \"bbox\": [168, 6, 186, 15]}, {\"cell\": \"<b>Number of subjects</b>\", \"bbox\": [304, 6, 345, 26]}, {\"cell\": \"<b>Number of Foci</b>\", \"bbox\": [352, 6, 393, 26]}, {\"cell\": \"<b>Statistical threshold</b>\", \"bbox\": [401, 6, 439, 26]}, {\"cell\": \"<b>Smoothing FWHM (mm)</b>\", \"bbox\": [460, 6, 507, 26]}, {\"cell\": \"Task > Control\", \"bbox\": [0, 37, 51, 46]}, {\"cell\": \"Banko et al., 2011\", \"bbox\": [59, 37, 120, 46]}, {\"cell\": \"Face recognition\", \"bbox\": [168, 37, 225, 46]}, {\"cell\": \"16\", \"bbox\": [319, 37, 329, 46]}, {\"cell\": \"4\", \"bbox\": [370, 37, 376, 46]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 37, 434, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 37, 487, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bode et al., 2012\", \"bbox\": [59, 48, 117, 57]}, {\"cell\": \"Object recognition\", \"bbox\": [168, 48, 232, 57]}, {\"cell\": \"14\", \"bbox\": [319, 48, 329, 57]}, {\"cell\": \"1\", \"bbox\": [370, 48, 376, 57]}, {\"cell\": \"FWE 0.001\", \"bbox\": [401, 48, 439, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 48, 487, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ivanoff et al., 2008\", \"bbox\": [59, 59, 123, 68]}, {\"cell\": \"RDM motion discrimination\", \"bbox\": [168, 59, 262, 68]}, {\"cell\": \"22\", \"bbox\": [319, 59, 330, 68]}, {\"cell\": \"49\", \"bbox\": [367, 59, 378, 68]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 59, 434, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 59, 487, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kahnt et al., 2011\", \"bbox\": [59, 70, 118, 79]}, {\"cell\": \"Gabor patch orientation discrimination\", \"bbox\": [168, 70, 296, 79]}, {\"cell\": \"20\", \"bbox\": [319, 70, 330, 79]}, {\"cell\": \"7\", \"bbox\": [370, 70, 376, 79]}, {\"cell\": \"Unc. 0.0001\", \"bbox\": [401, 70, 443, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 70, 487, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lewis et al., 2000\", \"bbox\": [59, 81, 120, 90]}, {\"cell\": \"Auditory motion discrimination\", \"bbox\": [168, 81, 272, 90]}, {\"cell\": \"10\", \"bbox\": [320, 81, 329, 90]}, {\"cell\": \"9\", \"bbox\": [370, 81, 376, 90]}, {\"cell\": \"Unc. 1 × 10<sup>−5</sup>\", \"bbox\": [401, 79, 449, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 81, 486, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 92, 236, 101]}, {\"cell\": \"9\", \"bbox\": [321, 92, 328, 101]}, {\"cell\": \"10\", \"bbox\": [368, 92, 377, 101]}, {\"cell\": \"Unc. 1 × 10<sup>−11</sup>\", \"bbox\": [401, 90, 451, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 92, 486, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lundblad et al., 2011\", \"bbox\": [59, 103, 129, 112]}, {\"cell\": \"Tactile motion discrimination\", \"bbox\": [168, 103, 265, 112]}, {\"cell\": \"16\", \"bbox\": [319, 103, 329, 112]}, {\"cell\": \"24\", \"bbox\": [367, 103, 378, 112]}, {\"cell\": \"FWE 0.05\", \"bbox\": [401, 103, 436, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 103, 487, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Singh and Fawcett, 2008<sup>*</sup>\", \"bbox\": [59, 114, 147, 123]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 114, 236, 123]}, {\"cell\": \"7\", \"bbox\": [321, 114, 327, 123]}, {\"cell\": \"30\", \"bbox\": [367, 114, 378, 123]}, {\"cell\": \"Cluster 0.01\", \"bbox\": [401, 114, 442, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 114, 487, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Snyder et al., 2011\", \"bbox\": [59, 125, 122, 134]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 125, 236, 134]}, {\"cell\": \"10\", \"bbox\": [320, 125, 329, 134]}, {\"cell\": \"15\", \"bbox\": [368, 125, 378, 134]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 125, 434, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 125, 487, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Object recognition\", \"bbox\": [168, 136, 232, 145]}, {\"cell\": \"10\", \"bbox\": [320, 136, 329, 145]}, {\"cell\": \"11\", \"bbox\": [368, 136, 377, 145]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 136, 434, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 136, 487, 145]}, {\"cell\": \"Hard > Easy\", \"bbox\": [0, 155, 44, 164]}, {\"cell\": \"Banko et al., 2011\", \"bbox\": [59, 155, 120, 164]}, {\"cell\": \"Face recognition\", \"bbox\": [168, 155, 225, 164]}, {\"cell\": \"16\", \"bbox\": [319, 155, 329, 164]}, {\"cell\": \"10\", \"bbox\": [368, 155, 377, 164]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 155, 434, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 155, 487, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bode et al., 2012\", \"bbox\": [59, 166, 117, 175]}, {\"cell\": \"Object recognition\", \"bbox\": [168, 166, 232, 175]}, {\"cell\": \"14\", \"bbox\": [319, 166, 329, 175]}, {\"cell\": \"1\", \"bbox\": [370, 166, 376, 175]}, {\"cell\": \"FWE 0.001\", \"bbox\": [401, 166, 439, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 166, 487, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fleming et al., 2010<sup>*</sup>\", \"bbox\": [59, 177, 130, 186]}, {\"cell\": \"Face vs house discrimination\", \"bbox\": [168, 177, 267, 186]}, {\"cell\": \"14\", \"bbox\": [319, 177, 329, 186]}, {\"cell\": \"2\", \"bbox\": [370, 177, 376, 186]}, {\"cell\": \"Cluster 0.001\", \"bbox\": [401, 177, 447, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 177, 487, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Heekeren et al., 2004\", \"bbox\": [59, 188, 133, 197]}, {\"cell\": \"Face vs house discrimination\", \"bbox\": [168, 188, 267, 197]}, {\"cell\": \"12\", \"bbox\": [319, 188, 329, 197]}, {\"cell\": \"14\", \"bbox\": [368, 188, 378, 197]}, {\"cell\": \"Unc. 0.0001\", \"bbox\": [401, 188, 443, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 188, 487, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Heekeren et al., 2006<sup>*</sup>\", \"bbox\": [59, 199, 137, 208]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 199, 236, 208]}, {\"cell\": \"8\", \"bbox\": [321, 199, 327, 208]}, {\"cell\": \"5\", \"bbox\": [369, 199, 376, 208]}, {\"cell\": \"Unc. 0.005\", \"bbox\": [401, 199, 439, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 199, 487, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ho et al., 2009\", \"bbox\": [59, 210, 110, 219]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 210, 236, 219]}, {\"cell\": \"11\", \"bbox\": [320, 210, 329, 219]}, {\"cell\": \"11\", \"bbox\": [368, 210, 377, 219]}, {\"cell\": \"FDR 0.05\", \"bbox\": [401, 210, 434, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 210, 487, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kayser et al., 2010a\", \"bbox\": [59, 221, 125, 230]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 221, 236, 230]}, {\"cell\": \"5\", \"bbox\": [321, 221, 328, 230]}, {\"cell\": \"22\", \"bbox\": [367, 221, 378, 230]}, {\"cell\": \"Unc. 0.0001\", \"bbox\": [401, 221, 443, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 221, 487, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Color discrimination\", \"bbox\": [168, 232, 236, 241]}, {\"cell\": \"5\", \"bbox\": [321, 232, 328, 241]}, {\"cell\": \"18\", \"bbox\": [368, 232, 378, 241]}, {\"cell\": \"Unc. 0.0001\", \"bbox\": [401, 232, 443, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 232, 487, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kayser et al., 2010b\", \"bbox\": [59, 243, 126, 252]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 243, 236, 252]}, {\"cell\": \"6\", \"bbox\": [321, 243, 328, 252]}, {\"cell\": \"25\", \"bbox\": [367, 243, 378, 252]}, {\"cell\": \"Unc. 0.0001\", \"bbox\": [401, 243, 443, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 243, 487, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Noppeney et al., 2010\", \"bbox\": [59, 254, 133, 263]}, {\"cell\": \"Object recognition\", \"bbox\": [168, 254, 232, 263]}, {\"cell\": \"19\", \"bbox\": [319, 254, 329, 263]}, {\"cell\": \"9\", \"bbox\": [369, 254, 376, 263]}, {\"cell\": \"Cluster 0.05\", \"bbox\": [401, 254, 443, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 254, 487, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Philiastides and Sajda, 2007<sup>*</sup>\", \"bbox\": [59, 265, 158, 274]}, {\"cell\": \"Face vs. cars discrimination\", \"bbox\": [168, 265, 262, 274]}, {\"cell\": \"12\", \"bbox\": [319, 265, 329, 274]}, {\"cell\": \"5\", \"bbox\": [370, 265, 376, 274]}, {\"cell\": \"Cluster 0.05\", \"bbox\": [401, 265, 443, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 265, 487, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sunaert et al., 2000\", \"bbox\": [59, 276, 127, 285]}, {\"cell\": \"RDM discrimination\", \"bbox\": [168, 276, 236, 285]}, {\"cell\": \"8\", \"bbox\": [321, 276, 327, 285]}, {\"cell\": \"5\", \"bbox\": [369, 276, 376, 285]}, {\"cell\": \"Cluster 0.05\", \"bbox\": [401, 276, 443, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [479, 276, 488, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tosoni et al., 2008<sup>*</sup>\", \"bbox\": [59, 287, 126, 296]}, {\"cell\": \"Face vs. house discrimination\", \"bbox\": [168, 287, 269, 296]}, {\"cell\": \"12\", \"bbox\": [319, 287, 329, 296]}, {\"cell\": \"18\", \"bbox\": [368, 287, 378, 296]}, {\"cell\": \"Unc. 0.05\", \"bbox\": [401, 287, 435, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [476, 287, 491, 296]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4063192_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}427{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Demographic variables</b></td><td><b>(<i>n</i> = 149)</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">Toddlers’ characteristics</td></tr><tr><td> Age (months)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> Sex</td></tr><tr><td> Male</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Race/Ethnicity</td></tr><tr><td> European-Canadian/Caucasian</td><td>[EMPTY_CELL]</td></tr><tr><td> Other</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Main type of child care</td></tr><tr><td> Parental</td><td>[EMPTY_CELL]</td></tr><tr><td> Child care center</td><td>[EMPTY_CELL]</td></tr><tr><td> Day home</td><td>[EMPTY_CELL]</td></tr><tr><td> Other</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Number of siblings</td></tr><tr><td> None</td><td>[EMPTY_CELL]</td></tr><tr><td> 1</td><td>[EMPTY_CELL]</td></tr><tr><td>≥ 2</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Parental characteristics</td></tr><tr><td> Age (years)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"> Sex</td></tr><tr><td> Male</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Marital status</td></tr><tr><td> Not married</td><td>[EMPTY_CELL]</td></tr><tr><td> Married</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Country of birth</td></tr><tr><td> Canada</td><td>[EMPTY_CELL]</td></tr><tr><td> Other</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Highest level of education</td></tr><tr><td> Post-graduate</td><td>[EMPTY_CELL]</td></tr><tr><td> University</td><td>[EMPTY_CELL]</td></tr><tr><td> Community/Technical college</td><td>[EMPTY_CELL]</td></tr><tr><td> High school (grades 9 –12)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Household income (<i>n</i> = 142)</td></tr><tr><td>> $100,000</td><td>[EMPTY_CELL]</td></tr><tr><td> $50,001 to $100,000</td><td>[EMPTY_CELL]</td></tr><tr><td>≤ $50,000</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Demographic variables</b>\", \"bbox\": [1, 4, 76, 13]}, {\"cell\": \"<b>(<i>n</i> = 149)</b>\", \"bbox\": [198, 4, 227, 13]}, {\"cell\": \"Toddlers’ characteristics\", \"bbox\": [1, 17, 78, 27]}, {\"cell\": \" Age (months)\", \"bbox\": [9, 31, 54, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 31, 233, 41]}, {\"cell\": \" Sex\", \"bbox\": [9, 45, 21, 55]}, {\"cell\": \" Male\", \"bbox\": [9, 59, 26, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 59, 233, 69]}, {\"cell\": \" Female\", \"bbox\": [9, 73, 34, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 73, 233, 83]}, {\"cell\": \"Race/Ethnicity\", \"bbox\": [1, 87, 47, 97]}, {\"cell\": \" European-Canadian/Caucasian\", \"bbox\": [9, 101, 107, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 101, 233, 111]}, {\"cell\": \" Other\", \"bbox\": [9, 115, 29, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 115, 233, 125]}, {\"cell\": \"Main type of child care\", \"bbox\": [1, 129, 77, 139]}, {\"cell\": \" Parental\", \"bbox\": [9, 143, 36, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 143, 233, 153]}, {\"cell\": \" Child care center\", \"bbox\": [9, 157, 65, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 157, 233, 167]}, {\"cell\": \" Day home\", \"bbox\": [9, 171, 44, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 171, 233, 180]}, {\"cell\": \" Other\", \"bbox\": [9, 185, 29, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 185, 233, 194]}, {\"cell\": \"Number of siblings\", \"bbox\": [1, 199, 64, 208]}, {\"cell\": \" None\", \"bbox\": [9, 213, 28, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 213, 233, 222]}, {\"cell\": \" 1\", \"bbox\": [9, 227, 14, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 227, 233, 236]}, {\"cell\": \"≥ 2\", \"bbox\": [10, 241, 23, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 241, 233, 250]}, {\"cell\": \"Parental characteristics\", \"bbox\": [1, 255, 75, 264]}, {\"cell\": \" Age (years)\", \"bbox\": [9, 269, 46, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 269, 233, 278]}, {\"cell\": \" Sex\", \"bbox\": [9, 283, 21, 292]}, {\"cell\": \" Male\", \"bbox\": [9, 297, 26, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 297, 233, 306]}, {\"cell\": \" Female\", \"bbox\": [9, 311, 34, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 311, 236, 320]}, {\"cell\": \"Marital status\", \"bbox\": [1, 325, 45, 334]}, {\"cell\": \" Not married\", \"bbox\": [9, 339, 49, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 339, 233, 348]}, {\"cell\": \" Married\", \"bbox\": [9, 353, 35, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 353, 236, 362]}, {\"cell\": \"Country of birth\", \"bbox\": [1, 367, 54, 376]}, {\"cell\": \" Canada\", \"bbox\": [9, 381, 34, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 381, 236, 390]}, {\"cell\": \" Other\", \"bbox\": [9, 395, 29, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 395, 233, 404]}, {\"cell\": \"Highest level of education\", \"bbox\": [1, 409, 87, 418]}, {\"cell\": \" Post-graduate\", \"bbox\": [9, 423, 55, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 423, 233, 432]}, {\"cell\": \" University\", \"bbox\": [9, 437, 42, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 437, 233, 446]}, {\"cell\": \" Community/Technical college\", \"bbox\": [9, 451, 106, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 451, 233, 460]}, {\"cell\": \" High school (grades 9 –12)\", \"bbox\": [9, 465, 97, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 465, 233, 474]}, {\"cell\": \"Household income (<i>n</i> = 142)\", \"bbox\": [1, 479, 93, 488]}, {\"cell\": \"> $100,000\", \"bbox\": [10, 493, 47, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 493, 233, 502]}, {\"cell\": \" $50,001 to $100,000\", \"bbox\": [9, 507, 74, 516]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 507, 233, 516]}, {\"cell\": \"≤ $50,000\", \"bbox\": [10, 521, 43, 530]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 521, 233, 530]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5307818_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}428{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Items*</b></td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4</b></td><td><b>5</b></td><td><b>6</b></td><td><b>7</b></td></tr></thead><tbody><tr><td>I find it interesting to work with people with backgrounds from different countries.</td><td><b>1,00</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>It is more difficult to communicate with staff whose background is from a country other than my own.</td><td>,34</td><td><b>1,00</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>I learn new things about life from cooperating with people from other countries.</td><td>,46</td><td>,29</td><td><b>1,00</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>If I can choose, I prefer to cooperate with a staff member whose background is from the same country as me rather than with staff from other countries.</td><td>,33</td><td>,50</td><td>,28</td><td><b>1,00</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Misunderstandings occur more often when I collaborate with colleagues whose backgrounds are from countries other than my own.</td><td>,33</td><td>,67</td><td>,24</td><td>,44</td><td><b>1,00</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>A person with a background other than Swedish is uninterested in learning about Swedish values, norms, and habits.</td><td>,32</td><td>,33</td><td>,30</td><td>,32</td><td>,34</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>People with a background other than Swedish don’t take as much responsibility in their work as a person with a Swedish background.</td><td>,26</td><td>,30</td><td>,27</td><td>,31</td><td>,31</td><td>[EMPTY_CELL]</td><td><b>1,00</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Items*</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>1</b>\", \"bbox\": [284, 4, 290, 13]}, {\"cell\": \"<b>2</b>\", \"bbox\": [314, 4, 320, 13]}, {\"cell\": \"<b>3</b>\", \"bbox\": [345, 4, 351, 13]}, {\"cell\": \"<b>4</b>\", \"bbox\": [376, 4, 382, 13]}, {\"cell\": \"<b>5</b>\", \"bbox\": [406, 4, 413, 13]}, {\"cell\": \"<b>6</b>\", \"bbox\": [437, 4, 443, 13]}, {\"cell\": \"<b>7</b>\", \"bbox\": [468, 4, 474, 13]}, {\"cell\": \"I find it interesting to work with people with backgrounds from different countries.\", \"bbox\": [1, 17, 269, 27]}, {\"cell\": \"<b>1,00</b>\", \"bbox\": [284, 17, 300, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"It is more difficult to communicate with staff whose background is from a country other than my own.\", \"bbox\": [1, 31, 210, 50]}, {\"cell\": \",34\", \"bbox\": [284, 31, 295, 41]}, {\"cell\": \"<b>1,00</b>\", \"bbox\": [314, 31, 331, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"I learn new things about life from cooperating with people from other countries.\", \"bbox\": [1, 54, 168, 73]}, {\"cell\": \",46\", \"bbox\": [284, 54, 295, 64]}, {\"cell\": \",29\", \"bbox\": [314, 54, 325, 64]}, {\"cell\": \"<b>1,00</b>\", \"bbox\": [345, 54, 362, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"If I can choose, I prefer to cooperate with a staff member whose background is from the same country as me rather than with staff from other countries.\", \"bbox\": [1, 77, 190, 105]}, {\"cell\": \",33\", \"bbox\": [284, 77, 295, 87]}, {\"cell\": \",50\", \"bbox\": [314, 77, 325, 87]}, {\"cell\": \",28\", \"bbox\": [345, 77, 356, 87]}, {\"cell\": \"<b>1,00</b>\", \"bbox\": [376, 77, 392, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Misunderstandings occur more often when I collaborate with colleagues whose backgrounds are from countries other than my own.\", \"bbox\": [1, 109, 236, 128]}, {\"cell\": \",33\", \"bbox\": [284, 109, 295, 119]}, {\"cell\": \",67\", \"bbox\": [314, 109, 325, 119]}, {\"cell\": \",24\", \"bbox\": [345, 109, 356, 119]}, {\"cell\": \",44\", \"bbox\": [376, 109, 387, 119]}, {\"cell\": \"<b>1,00</b>\", \"bbox\": [406, 109, 423, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A person with a background other than Swedish is uninterested in learning about Swedish values, norms, and habits.\", \"bbox\": [1, 132, 217, 151]}, {\"cell\": \",32\", \"bbox\": [284, 132, 295, 142]}, {\"cell\": \",33\", \"bbox\": [314, 132, 325, 142]}, {\"cell\": \",30\", \"bbox\": [345, 132, 356, 142]}, {\"cell\": \",32\", \"bbox\": [376, 132, 387, 142]}, {\"cell\": \",34\", \"bbox\": [406, 132, 417, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 132, 454, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"People with a background other than Swedish don’t take as much responsibility in their work as a person with a Swedish background.\", \"bbox\": [1, 155, 220, 174]}, {\"cell\": \",26\", \"bbox\": [284, 155, 295, 165]}, {\"cell\": \",30\", \"bbox\": [314, 155, 325, 165]}, {\"cell\": \",27\", \"bbox\": [345, 155, 356, 165]}, {\"cell\": \",31\", \"bbox\": [376, 155, 387, 165]}, {\"cell\": \",31\", \"bbox\": [406, 155, 417, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 155, 452, 165]}, {\"cell\": \"<b>1,00</b>\", \"bbox\": [468, 155, 484, 164]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3644252_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}429{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Total sample (n = 325)</b></td><td><b>GPS study invite (n = 74)</b></td><td><b>p</b></td><td><b>GPS participant (n = 41)</b></td><td><b>p</b></td><td><b>GPS walking trips (n = 19)</b></td><td><b>p</b></td></tr></thead><tbody><tr><td>Gender (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.908</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.164</td></tr><tr><td>Male</td><td>32.31</td><td>31.08</td><td>[EMPTY_CELL]</td><td>39.02</td><td>[EMPTY_CELL]</td><td>50.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Female</td><td>67.69</td><td>68.92</td><td>[EMPTY_CELL]</td><td>60.98</td><td>[EMPTY_CELL]</td><td>50.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Highest education level (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.802</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.140</td></tr><tr><td>Secondary or less</td><td>47.69</td><td>47.30</td><td>[EMPTY_CELL]</td><td>43.90</td><td>[EMPTY_CELL]</td><td>27.78</td><td>[EMPTY_CELL]</td></tr><tr><td>Trade/certificate</td><td>40.92</td><td>43.24</td><td>[EMPTY_CELL]</td><td>46.34</td><td>[EMPTY_CELL]</td><td>50.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Bachelor or higher</td><td>11.39</td><td>9.46</td><td>[EMPTY_CELL]</td><td>9.76</td><td>[EMPTY_CELL]</td><td>22.22</td><td>[EMPTY_CELL]</td></tr><tr><td>Marital status (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.929</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.148</td></tr><tr><td>Not married</td><td>47.08</td><td>54.05</td><td>[EMPTY_CELL]</td><td>48.78</td><td>[EMPTY_CELL]</td><td>72.22</td><td>[EMPTY_CELL]</td></tr><tr><td>Married</td><td>52.92</td><td>45.95</td><td>[EMPTY_CELL]</td><td>51.22</td><td>[EMPTY_CELL]</td><td>27.78</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (mean years/SD)</td><td>76.82 (7.43)</td><td>75.97 (7.02)</td><td>0.263</td><td>74.39 (7.16)</td><td>[EMPTY_CELL]</td><td>72.72 (7.80)</td><td>0.015</td></tr><tr><td>Physical functioning (mean score/SD)</td><td>80.84 (16.05)</td><td>82.04 (14.78)</td><td>0.466</td><td>85.65 (13.65)</td><td>[EMPTY_CELL]</td><td>87.80 (13.93)</td><td>0.066</td></tr><tr><td>BMI (mean score/SD)</td><td>25.02 (4.51)</td><td>25.30 (4.57)</td><td>0.540</td><td>26.52 (4.63)</td><td>[EMPTY_CELL]</td><td>26.47 (4.70)</td><td>0.159</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 4, 49, 13]}, {\"cell\": \"<b>Total sample (n = 325)</b>\", \"bbox\": [134, 4, 180, 22]}, {\"cell\": \"<b>GPS study invite (n = 74)</b>\", \"bbox\": [192, 4, 251, 22]}, {\"cell\": \"<b>p</b>\", \"bbox\": [263, 4, 269, 13]}, {\"cell\": \"<b>GPS participant (n = 41)</b>\", \"bbox\": [293, 4, 349, 22]}, {\"cell\": \"<b>p</b>\", \"bbox\": [361, 4, 367, 13]}, {\"cell\": \"<b>GPS walking trips (n = 19)</b>\", \"bbox\": [391, 4, 454, 22]}, {\"cell\": \"<b>p</b>\", \"bbox\": [466, 4, 472, 13]}, {\"cell\": \"Gender (%)\", \"bbox\": [1, 26, 38, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.908\", \"bbox\": [263, 26, 281, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 26, 379, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.164\", \"bbox\": [466, 26, 484, 36]}, {\"cell\": \"Male\", \"bbox\": [1, 40, 18, 50]}, {\"cell\": \"32.31\", \"bbox\": [134, 40, 152, 50]}, {\"cell\": \"31.08\", \"bbox\": [192, 40, 211, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"39.02\", \"bbox\": [293, 40, 312, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50.00\", \"bbox\": [391, 40, 410, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [1, 54, 26, 64]}, {\"cell\": \"67.69\", \"bbox\": [134, 54, 152, 64]}, {\"cell\": \"68.92\", \"bbox\": [192, 54, 211, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"60.98\", \"bbox\": [293, 54, 312, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50.00\", \"bbox\": [391, 54, 410, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Highest education level (%)\", \"bbox\": [1, 68, 90, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.802\", \"bbox\": [263, 68, 281, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 68, 379, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.140\", \"bbox\": [466, 68, 484, 78]}, {\"cell\": \"Secondary or less\", \"bbox\": [1, 82, 58, 92]}, {\"cell\": \"47.69\", \"bbox\": [134, 82, 152, 92]}, {\"cell\": \"47.30\", \"bbox\": [192, 82, 211, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"43.90\", \"bbox\": [293, 82, 312, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27.78\", \"bbox\": [391, 82, 410, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Trade/certificate\", \"bbox\": [1, 96, 54, 106]}, {\"cell\": \"40.92\", \"bbox\": [134, 96, 152, 106]}, {\"cell\": \"43.24\", \"bbox\": [192, 96, 211, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"46.34\", \"bbox\": [293, 96, 312, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50.00\", \"bbox\": [391, 96, 410, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bachelor or higher\", \"bbox\": [1, 110, 62, 120]}, {\"cell\": \"11.39\", \"bbox\": [134, 110, 152, 120]}, {\"cell\": \"9.46\", \"bbox\": [192, 110, 207, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9.76\", \"bbox\": [293, 110, 308, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"22.22\", \"bbox\": [391, 110, 410, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Marital status (%)\", \"bbox\": [1, 124, 57, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.929\", \"bbox\": [263, 124, 281, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 124, 379, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.148\", \"bbox\": [466, 124, 484, 134]}, {\"cell\": \"Not married\", \"bbox\": [1, 138, 41, 148]}, {\"cell\": \"47.08\", \"bbox\": [134, 138, 152, 148]}, {\"cell\": \"54.05\", \"bbox\": [192, 138, 211, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"48.78\", \"bbox\": [293, 138, 312, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"72.22\", \"bbox\": [391, 138, 410, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Married\", \"bbox\": [1, 152, 27, 162]}, {\"cell\": \"52.92\", \"bbox\": [134, 152, 152, 162]}, {\"cell\": \"45.95\", \"bbox\": [192, 152, 211, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"51.22\", \"bbox\": [293, 152, 312, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27.78\", \"bbox\": [391, 152, 410, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (mean years/SD)\", \"bbox\": [1, 166, 70, 176]}, {\"cell\": \"76.82 (7.43)\", \"bbox\": [134, 166, 172, 176]}, {\"cell\": \"75.97 (7.02)\", \"bbox\": [192, 166, 230, 176]}, {\"cell\": \"0.263\", \"bbox\": [263, 166, 281, 176]}, {\"cell\": \"74.39 (7.16)\", \"bbox\": [293, 166, 331, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 166, 379, 176]}, {\"cell\": \"72.72 (7.80)\", \"bbox\": [391, 166, 429, 176]}, {\"cell\": \"0.015\", \"bbox\": [466, 166, 484, 176]}, {\"cell\": \"Physical functioning (mean score/SD)\", \"bbox\": [1, 180, 122, 190]}, {\"cell\": \"80.84 (16.05)\", \"bbox\": [134, 180, 176, 190]}, {\"cell\": \"82.04 (14.78)\", \"bbox\": [192, 180, 234, 190]}, {\"cell\": \"0.466\", \"bbox\": [263, 180, 281, 190]}, {\"cell\": \"85.65 (13.65)\", \"bbox\": [293, 180, 335, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 180, 379, 190]}, {\"cell\": \"87.80 (13.93)\", \"bbox\": [391, 180, 433, 190]}, {\"cell\": \"0.066\", \"bbox\": [466, 180, 484, 190]}, {\"cell\": \"BMI (mean score/SD)\", \"bbox\": [1, 194, 70, 204]}, {\"cell\": \"25.02 (4.51)\", \"bbox\": [134, 194, 172, 204]}, {\"cell\": \"25.30 (4.57)\", \"bbox\": [192, 194, 230, 204]}, {\"cell\": \"0.540\", \"bbox\": [263, 194, 281, 204]}, {\"cell\": \"26.52 (4.63)\", \"bbox\": [293, 194, 331, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [361, 194, 379, 204]}, {\"cell\": \"26.47 (4.70)\", \"bbox\": [391, 194, 429, 204]}, {\"cell\": \"0.159\", \"bbox\": [466, 194, 484, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3490929_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}430{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Reference</b></td><td rowspan=\\\"2\\\"><b>SIGN Quality</b></td><td rowspan=\\\"2\\\"><b>Anthocyanin Dose (mg/Day)</b></td><td rowspan=\\\"2\\\"><b>CVD-Related Disease Status</b></td><td colspan=\\\"4\\\"><b>LDL (mg/dL)</b></td><td colspan=\\\"4\\\"><b>HDL (mg/dL)</b></td><td colspan=\\\"4\\\"><b>Total Cholesterol (mg/dL)</b></td></tr><tr><td><b>Percent Change in Intervention</b></td><td><b>Percent Change in Control</b></td><td><b>Percent Difference Compared with Control</b></td><td><b><i>P</i></b></td><td><b>Percent Change in Intervention</b></td><td><b>Percent Change in Control</b></td><td><b>Percent Difference Compared with Control</b></td><td><b><i>P</i></b></td><td><b>Percent Change in Intervention</b></td><td><b>Percent Change in Control</b></td><td><b>Percent Difference Compared with Control</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Curtis <i>et al.</i>, 2009 [26]</td><td>H</td><td>500</td><td>Healthy</td><td>0.00</td><td>−5.71</td><td>5.71</td><td>NS</td><td>0.00</td><td>0.00</td><td>0.00</td><td>NS</td><td>1.85</td><td>−3.64</td><td>5.49</td><td>[EMPTY_CELL]</td></tr><tr><td>Gurrola-Díaz <i>et al.</i>, 2010 [15]</td><td>A</td><td>19.24</td><td>Healthy</td><td>−4.12</td><td>####</td><td>10.73</td><td>NR</td><td>3.88</td><td>0.86</td><td>3.03</td><td>NR</td><td>−4.58</td><td>−10.45</td><td>5.87</td><td>[EMPTY_CELL]</td></tr><tr><td>Hansen <i>et al.</i>, 2005, full [16] </td><td>A</td><td>71 or 48</td><td>Healthy</td><td>0.93</td><td>−1.26</td><td>2.19</td><td>0.643</td><td>−6.11</td><td>−9.70</td><td>3.59</td><td><0.001</td><td>−1.48</td><td>−5.59</td><td>4.10</td><td>[EMPTY_CELL]</td></tr><tr><td>Hansen <i>et al.</i>, 2005, half [16]</td><td>A</td><td>36 or 24</td><td>Healthy</td><td>3.42</td><td>−1.26</td><td>4.68</td><td>0.643</td><td>−6.11</td><td>−9.70</td><td>3.59</td><td><0.001</td><td>−1.36</td><td>−5.59</td><td>4.22</td><td>[EMPTY_CELL]</td></tr><tr><td>Karlsen <i>et al.</i>, 2007 [19]</td><td>A</td><td>300</td><td>Healthy</td><td>—</td><td>—</td><td>—</td><td>—</td><td>−1.67</td><td>−2.63</td><td>0.96</td><td>NS</td><td>−0.16</td><td>−2.38</td><td>2.22</td><td>[EMPTY_CELL]</td></tr><tr><td>Gurrola-Díaz <i>et al.</i>, 2010 [15]</td><td>A</td><td>19.24</td><td>MetS</td><td>−1.81</td><td>2.17</td><td>−3.98</td><td>NS</td><td>30.06</td><td>23.47</td><td>6.59</td><td>0.002</td><td>1.10</td><td>6.96</td><td>−5.86</td><td>[EMPTY_CELL]</td></tr><tr><td>Hassellund <i>et al.</i>, 2013 [18]</td><td>A</td><td>640</td><td>Prehypertensive</td><td>ND</td><td>ND</td><td>ND</td><td>0.341</td><td>ND</td><td>ND</td><td>ND</td><td>0.043</td><td>ND</td><td>ND</td><td>ND</td><td>[EMPTY_CELL]</td></tr><tr><td>Kianbakht <i>et al.</i>, 2014 [20]</td><td>A</td><td>7.35</td><td>Hyperlipidemic</td><td>−32.04</td><td>−9.12</td><td>−22.92</td><td>0.002</td><td>36.63</td><td>2.52</td><td>34.11</td><td><0.001</td><td>−28.29</td><td>−2.76</td><td>−25.53</td><td>[EMPTY_CELL]</td></tr><tr><td>Naruszewicz <i>et al.</i>, 2007 [14]</td><td>A</td><td>~64</td><td>Post-MI</td><td>−0.34</td><td>−5.82</td><td>5.48</td><td>NS</td><td>2.84</td><td>1.75</td><td>1.09</td><td>NS</td><td>0.91</td><td>−3.07</td><td>3.98</td><td>[EMPTY_CELL]</td></tr><tr><td>Qin <i>et al.</i>, 2009 [21]</td><td>H</td><td>320</td><td>Dyslipidemic</td><td>−12.12</td><td>−0.76</td><td>−11.37</td><td><0.001</td><td>11.55</td><td>1.74</td><td>9.81</td><td><0.001</td><td>−2.52</td><td>−0.85</td><td>−1.67</td><td>[EMPTY_CELL]</td></tr><tr><td>Soltani <i>et al.</i>, 2014 [22]</td><td>H</td><td>90</td><td>Hyperlipidemic</td><td>−8.61</td><td>2.71</td><td>−11.32</td><td>0.004</td><td>−0.35</td><td>−1.89</td><td>1.54</td><td>0.631</td><td>−15.21</td><td>1.51</td><td>−16.71</td><td>[EMPTY_CELL]</td></tr><tr><td>Zhu <i>et al.</i>, 2013 [24]</td><td>A</td><td>320</td><td>Hyperlipidemic</td><td>−10.42</td><td>0.30</td><td>−10.72</td><td>0.030</td><td>12.30</td><td>−0.81</td><td>13.10</td><td>0.036</td><td>−4.19</td><td>−3.55</td><td>−0.64</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Reference</b>\", \"bbox\": [0, 17, 30, 25]}, {\"cell\": \"<b>SIGN Quality</b>\", \"bbox\": [60, 13, 84, 28]}, {\"cell\": \"<b>Anthocyanin Dose (mg/Day)</b>\", \"bbox\": [90, 9, 128, 32]}, {\"cell\": \"<b>CVD-Related Disease Status</b>\", \"bbox\": [139, 10, 179, 33]}, {\"cell\": \"<b>LDL (mg/dL)</b>\", \"bbox\": [242, 2, 280, 10]}, {\"cell\": \"<b>HDL (mg/dL)</b>\", \"bbox\": [407, 2, 447, 10]}, {\"cell\": \"<b>Total Cholesterol (mg/dL)</b>\", \"bbox\": [559, 2, 633, 10]}, {\"cell\": \"<b>Percent Change in Intervention</b>\", \"bbox\": [187, 13, 225, 36]}, {\"cell\": \"<b>Percent Change in Control</b>\", \"bbox\": [229, 13, 260, 36]}, {\"cell\": \"<b>Percent Difference Compared with Control</b>\", \"bbox\": [273, 9, 311, 39]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [325, 21, 331, 27]}, {\"cell\": \"<b>Percent Change in Intervention</b>\", \"bbox\": [345, 13, 382, 36]}, {\"cell\": \"<b>Percent Change in Control</b>\", \"bbox\": [398, 13, 429, 36]}, {\"cell\": \"<b>Percent Difference Compared with Control</b>\", \"bbox\": [444, 9, 482, 39]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [499, 21, 505, 27]}, {\"cell\": \"<b>Percent Change in Intervention</b>\", \"bbox\": [519, 13, 556, 36]}, {\"cell\": \"<b>Percent Change in Control</b>\", \"bbox\": [567, 13, 597, 36]}, {\"cell\": \"<b>Percent Difference Compared with Control</b>\", \"bbox\": [610, 9, 648, 39]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [662, 21, 668, 27]}, {\"cell\": \"Curtis <i>et al.</i>, 2009 [26]\", \"bbox\": [0, 39, 34, 54]}, {\"cell\": \"H\", \"bbox\": [67, 42, 74, 51]}, {\"cell\": \"500\", \"bbox\": [104, 42, 115, 51]}, {\"cell\": \"Healthy\", \"bbox\": [147, 42, 171, 51]}, {\"cell\": \"0.00\", \"bbox\": [197, 42, 210, 51]}, {\"cell\": \"−5.71\", \"bbox\": [236, 42, 254, 51]}, {\"cell\": \"5.71\", \"bbox\": [285, 42, 298, 51]}, {\"cell\": \"NS\", \"bbox\": [322, 42, 333, 51]}, {\"cell\": \"0.00\", \"bbox\": [357, 42, 370, 51]}, {\"cell\": \"0.00\", \"bbox\": [407, 42, 420, 51]}, {\"cell\": \"0.00\", \"bbox\": [457, 42, 469, 51]}, {\"cell\": \"NS\", \"bbox\": [497, 42, 507, 51]}, {\"cell\": \"1.85\", \"bbox\": [531, 42, 544, 51]}, {\"cell\": \"−3.64\", \"bbox\": [573, 42, 591, 51]}, {\"cell\": \"5.49\", \"bbox\": [623, 42, 635, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [660, 42, 670, 51]}, {\"cell\": \"Gurrola-Díaz <i>et al.</i>, 2010 [15]\", \"bbox\": [0, 54, 54, 69]}, {\"cell\": \"A\", \"bbox\": [67, 57, 74, 66]}, {\"cell\": \"19.24\", \"bbox\": [101, 57, 117, 66]}, {\"cell\": \"Healthy\", \"bbox\": [147, 57, 171, 66]}, {\"cell\": \"−4.12\", \"bbox\": [194, 57, 212, 66]}, {\"cell\": \"####\", \"bbox\": [238, 57, 252, 66]}, {\"cell\": \"10.73\", \"bbox\": [284, 57, 300, 66]}, {\"cell\": \"NR\", \"bbox\": [322, 57, 333, 66]}, {\"cell\": \"3.88\", \"bbox\": [357, 57, 370, 66]}, {\"cell\": \"0.86\", \"bbox\": [407, 57, 420, 66]}, {\"cell\": \"3.03\", \"bbox\": [457, 57, 469, 66]}, {\"cell\": \"NR\", \"bbox\": [496, 57, 507, 66]}, {\"cell\": \"−4.58\", \"bbox\": [529, 57, 547, 66]}, {\"cell\": \"−10.45\", \"bbox\": [571, 57, 592, 66]}, {\"cell\": \"5.87\", \"bbox\": [623, 57, 635, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [659, 57, 670, 66]}, {\"cell\": \"Hansen <i>et al.</i>, 2005, full [16] \", \"bbox\": [0, 69, 39, 84]}, {\"cell\": \"A\", \"bbox\": [67, 72, 74, 80]}, {\"cell\": \"71 or 48\", \"bbox\": [98, 72, 121, 80]}, {\"cell\": \"Healthy\", \"bbox\": [147, 72, 171, 80]}, {\"cell\": \"0.93\", \"bbox\": [197, 72, 210, 80]}, {\"cell\": \"−1.26\", \"bbox\": [236, 72, 254, 80]}, {\"cell\": \"2.19\", \"bbox\": [285, 72, 298, 80]}, {\"cell\": \"0.643\", \"bbox\": [320, 72, 336, 80]}, {\"cell\": \"−6.11\", \"bbox\": [355, 72, 372, 80]}, {\"cell\": \"−9.70\", \"bbox\": [404, 72, 422, 80]}, {\"cell\": \"3.59\", \"bbox\": [457, 72, 469, 80]}, {\"cell\": \"<0.001\", \"bbox\": [492, 72, 512, 80]}, {\"cell\": \"−1.48\", \"bbox\": [529, 72, 547, 80]}, {\"cell\": \"−5.59\", \"bbox\": [573, 72, 591, 80]}, {\"cell\": \"4.10\", \"bbox\": [623, 72, 635, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 72, 673, 80]}, {\"cell\": \"Hansen <i>et al.</i>, 2005, half [16]\", \"bbox\": [0, 83, 40, 99]}, {\"cell\": \"A\", \"bbox\": [67, 87, 74, 95]}, {\"cell\": \"36 or 24\", \"bbox\": [98, 87, 121, 95]}, {\"cell\": \"Healthy\", \"bbox\": [147, 87, 171, 95]}, {\"cell\": \"3.42\", \"bbox\": [197, 87, 210, 95]}, {\"cell\": \"−1.26\", \"bbox\": [236, 87, 254, 95]}, {\"cell\": \"4.68\", \"bbox\": [285, 87, 298, 95]}, {\"cell\": \"0.643\", \"bbox\": [320, 87, 336, 95]}, {\"cell\": \"−6.11\", \"bbox\": [355, 87, 372, 95]}, {\"cell\": \"−9.70\", \"bbox\": [404, 87, 422, 95]}, {\"cell\": \"3.59\", \"bbox\": [457, 87, 469, 95]}, {\"cell\": \"<0.001\", \"bbox\": [492, 87, 512, 95]}, {\"cell\": \"−1.36\", \"bbox\": [529, 87, 547, 95]}, {\"cell\": \"−5.59\", \"bbox\": [573, 87, 591, 95]}, {\"cell\": \"4.22\", \"bbox\": [623, 87, 635, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 87, 673, 95]}, {\"cell\": \"Karlsen <i>et al.</i>, 2007 [19]\", \"bbox\": [0, 98, 38, 114]}, {\"cell\": \"A\", \"bbox\": [67, 102, 74, 110]}, {\"cell\": \"300\", \"bbox\": [104, 102, 115, 110]}, {\"cell\": \"Healthy\", \"bbox\": [147, 102, 171, 110]}, {\"cell\": \"—\", \"bbox\": [199, 102, 207, 110]}, {\"cell\": \"—\", \"bbox\": [241, 102, 249, 110]}, {\"cell\": \"—\", \"bbox\": [288, 102, 296, 110]}, {\"cell\": \"—\", \"bbox\": [324, 102, 332, 110]}, {\"cell\": \"−1.67\", \"bbox\": [355, 102, 372, 110]}, {\"cell\": \"−2.63\", \"bbox\": [404, 102, 422, 110]}, {\"cell\": \"0.96\", \"bbox\": [457, 102, 469, 110]}, {\"cell\": \"NS\", \"bbox\": [497, 102, 507, 110]}, {\"cell\": \"−0.16\", \"bbox\": [529, 102, 547, 110]}, {\"cell\": \"−2.38\", \"bbox\": [573, 102, 591, 110]}, {\"cell\": \"2.22\", \"bbox\": [623, 102, 635, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [660, 102, 670, 110]}, {\"cell\": \"Gurrola-Díaz <i>et al.</i>, 2010 [15]\", \"bbox\": [0, 113, 54, 129]}, {\"cell\": \"A\", \"bbox\": [67, 117, 74, 125]}, {\"cell\": \"19.24\", \"bbox\": [101, 117, 117, 125]}, {\"cell\": \"MetS\", \"bbox\": [151, 117, 167, 125]}, {\"cell\": \"−1.81\", \"bbox\": [194, 117, 212, 125]}, {\"cell\": \"2.17\", \"bbox\": [238, 117, 251, 125]}, {\"cell\": \"−3.98\", \"bbox\": [283, 117, 301, 125]}, {\"cell\": \"NS\", \"bbox\": [322, 117, 333, 125]}, {\"cell\": \"30.06\", \"bbox\": [356, 117, 371, 125]}, {\"cell\": \"23.47\", \"bbox\": [405, 117, 421, 125]}, {\"cell\": \"6.59\", \"bbox\": [457, 117, 469, 125]}, {\"cell\": \"0.002\", \"bbox\": [494, 117, 510, 125]}, {\"cell\": \"1.10\", \"bbox\": [531, 117, 544, 125]}, {\"cell\": \"6.96\", \"bbox\": [576, 117, 588, 125]}, {\"cell\": \"−5.86\", \"bbox\": [620, 117, 638, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 117, 673, 125]}, {\"cell\": \"Hassellund <i>et al.</i>, 2013 [18]\", \"bbox\": [0, 128, 48, 144]}, {\"cell\": \"A\", \"bbox\": [67, 132, 74, 140]}, {\"cell\": \"640\", \"bbox\": [104, 132, 115, 140]}, {\"cell\": \"Prehypertensive\", \"bbox\": [138, 132, 183, 140]}, {\"cell\": \"ND\", \"bbox\": [197, 132, 209, 140]}, {\"cell\": \"ND\", \"bbox\": [239, 132, 251, 140]}, {\"cell\": \"ND\", \"bbox\": [286, 132, 298, 140]}, {\"cell\": \"0.341\", \"bbox\": [320, 132, 336, 140]}, {\"cell\": \"ND\", \"bbox\": [358, 132, 369, 140]}, {\"cell\": \"ND\", \"bbox\": [407, 132, 419, 140]}, {\"cell\": \"ND\", \"bbox\": [457, 132, 469, 140]}, {\"cell\": \"0.043\", \"bbox\": [494, 132, 510, 140]}, {\"cell\": \"ND\", \"bbox\": [532, 132, 544, 140]}, {\"cell\": \"ND\", \"bbox\": [576, 132, 588, 140]}, {\"cell\": \"ND\", \"bbox\": [623, 132, 635, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 132, 673, 140]}, {\"cell\": \"Kianbakht <i>et al.</i>, 2014 [20]\", \"bbox\": [0, 143, 46, 158]}, {\"cell\": \"A\", \"bbox\": [67, 147, 74, 155]}, {\"cell\": \"7.35\", \"bbox\": [103, 147, 116, 155]}, {\"cell\": \"Hyperlipidemic\", \"bbox\": [138, 147, 182, 155]}, {\"cell\": \"−32.04\", \"bbox\": [193, 147, 214, 155]}, {\"cell\": \"−9.12\", \"bbox\": [236, 147, 254, 155]}, {\"cell\": \"−22.92\", \"bbox\": [281, 147, 302, 155]}, {\"cell\": \"0.002\", \"bbox\": [320, 147, 336, 155]}, {\"cell\": \"36.63\", \"bbox\": [356, 147, 371, 155]}, {\"cell\": \"2.52\", \"bbox\": [407, 147, 420, 155]}, {\"cell\": \"34.11\", \"bbox\": [455, 147, 471, 155]}, {\"cell\": \"<0.001\", \"bbox\": [492, 147, 512, 155]}, {\"cell\": \"−28.29\", \"bbox\": [527, 147, 548, 155]}, {\"cell\": \"−2.76\", \"bbox\": [573, 147, 591, 155]}, {\"cell\": \"−25.53\", \"bbox\": [618, 147, 639, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 147, 674, 155]}, {\"cell\": \"Naruszewicz <i>et al.</i>, 2007 [14]\", \"bbox\": [0, 158, 53, 173]}, {\"cell\": \"A\", \"bbox\": [67, 162, 74, 170]}, {\"cell\": \"~64\", \"bbox\": [103, 162, 115, 170]}, {\"cell\": \"Post-MI\", \"bbox\": [147, 162, 171, 170]}, {\"cell\": \"−0.34\", \"bbox\": [194, 162, 212, 170]}, {\"cell\": \"−5.82\", \"bbox\": [236, 162, 254, 170]}, {\"cell\": \"5.48\", \"bbox\": [285, 162, 298, 170]}, {\"cell\": \"NS\", \"bbox\": [322, 162, 333, 170]}, {\"cell\": \"2.84\", \"bbox\": [357, 162, 370, 170]}, {\"cell\": \"1.75\", \"bbox\": [407, 162, 420, 170]}, {\"cell\": \"1.09\", \"bbox\": [457, 162, 469, 170]}, {\"cell\": \"NS\", \"bbox\": [497, 162, 507, 170]}, {\"cell\": \"0.91\", \"bbox\": [531, 162, 544, 170]}, {\"cell\": \"−3.07\", \"bbox\": [573, 162, 591, 170]}, {\"cell\": \"3.98\", \"bbox\": [623, 162, 635, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [660, 162, 670, 170]}, {\"cell\": \"Qin <i>et al.</i>, 2009 [21]\", \"bbox\": [0, 173, 53, 181]}, {\"cell\": \"H\", \"bbox\": [67, 173, 74, 181]}, {\"cell\": \"320\", \"bbox\": [104, 173, 115, 181]}, {\"cell\": \"Dyslipidemic\", \"bbox\": [140, 173, 178, 181]}, {\"cell\": \"−12.12\", \"bbox\": [193, 173, 214, 181]}, {\"cell\": \"−0.76\", \"bbox\": [236, 173, 254, 181]}, {\"cell\": \"−11.37\", \"bbox\": [281, 173, 302, 181]}, {\"cell\": \"<0.001\", \"bbox\": [320, 173, 339, 181]}, {\"cell\": \"11.55\", \"bbox\": [356, 173, 371, 181]}, {\"cell\": \"1.74\", \"bbox\": [407, 173, 420, 181]}, {\"cell\": \"9.81\", \"bbox\": [457, 173, 469, 181]}, {\"cell\": \"<0.001\", \"bbox\": [492, 173, 512, 181]}, {\"cell\": \"−2.52\", \"bbox\": [529, 173, 547, 181]}, {\"cell\": \"−0.85\", \"bbox\": [573, 173, 591, 181]}, {\"cell\": \"−1.67\", \"bbox\": [620, 173, 638, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 173, 673, 181]}, {\"cell\": \"Soltani <i>et al.</i>, 2014 [22]\", \"bbox\": [0, 180, 36, 196]}, {\"cell\": \"H\", \"bbox\": [67, 184, 74, 192]}, {\"cell\": \"90\", \"bbox\": [105, 184, 113, 192]}, {\"cell\": \"Hyperlipidemic\", \"bbox\": [138, 184, 182, 192]}, {\"cell\": \"−8.61\", \"bbox\": [194, 184, 212, 192]}, {\"cell\": \"2.71\", \"bbox\": [238, 184, 251, 192]}, {\"cell\": \"−11.32\", \"bbox\": [281, 184, 302, 192]}, {\"cell\": \"0.004\", \"bbox\": [320, 184, 336, 192]}, {\"cell\": \"−0.35\", \"bbox\": [355, 184, 372, 192]}, {\"cell\": \"−1.89\", \"bbox\": [404, 184, 422, 192]}, {\"cell\": \"1.54\", \"bbox\": [457, 184, 469, 192]}, {\"cell\": \"0.631\", \"bbox\": [494, 184, 510, 192]}, {\"cell\": \"−15.21\", \"bbox\": [527, 184, 548, 192]}, {\"cell\": \"1.51\", \"bbox\": [576, 184, 588, 192]}, {\"cell\": \"−16.71\", \"bbox\": [618, 184, 639, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 184, 674, 192]}, {\"cell\": \"Zhu <i>et al.</i>, 2013 [24]\", \"bbox\": [0, 195, 29, 211]}, {\"cell\": \"A\", \"bbox\": [67, 199, 74, 207]}, {\"cell\": \"320\", \"bbox\": [104, 199, 115, 207]}, {\"cell\": \"Hyperlipidemic\", \"bbox\": [138, 199, 182, 207]}, {\"cell\": \"−10.42\", \"bbox\": [193, 199, 214, 207]}, {\"cell\": \"0.30\", \"bbox\": [238, 199, 251, 207]}, {\"cell\": \"−10.72\", \"bbox\": [281, 199, 302, 207]}, {\"cell\": \"0.030\", \"bbox\": [320, 199, 336, 207]}, {\"cell\": \"12.30\", \"bbox\": [356, 199, 371, 207]}, {\"cell\": \"−0.81\", \"bbox\": [404, 199, 422, 207]}, {\"cell\": \"13.10\", \"bbox\": [455, 199, 471, 207]}, {\"cell\": \"0.036\", \"bbox\": [494, 199, 510, 207]}, {\"cell\": \"−4.19\", \"bbox\": [529, 199, 547, 207]}, {\"cell\": \"−3.55\", \"bbox\": [573, 199, 591, 207]}, {\"cell\": \"−0.64\", \"bbox\": [620, 199, 638, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [657, 199, 673, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4728646_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}431{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Variables</b></td><td colspan=\\\"6\\\"><b>LOX expression</b></td></tr><tr><td colspan=\\\"3\\\"><b>Cytoplasmic</b></td><td colspan=\\\"3\\\"><b>Nuclear</b></td></tr><tr><td><b>Low (%)</b></td><td><b>High (%)</b></td><td><b><i>P</i>-value</b></td><td><b>Low (%)</b></td><td><b>High (%)</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td>NF-κB</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.388</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Low</td><td>15 (17)</td><td>74 (83)</td><td>[EMPTY_CELL]</td><td>84 (94)</td><td>5 (6)</td><td>[EMPTY_CELL]</td></tr><tr><td> High</td><td>11 (23)</td><td>37 (77)</td><td>[EMPTY_CELL]</td><td>34 (71)</td><td>14 (29)</td><td>[EMPTY_CELL]</td></tr><tr><td>Ki-67</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.258</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Low</td><td>7 (13)</td><td>45 (87)</td><td>[EMPTY_CELL]</td><td>49 (94)</td><td>3 (6)</td><td>[EMPTY_CELL]</td></tr><tr><td> High</td><td>12 (22)</td><td>43 (78)</td><td>[EMPTY_CELL]</td><td>45 (82)</td><td>10 (18)</td><td>[EMPTY_CELL]</td></tr><tr><td>Survivin</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>0.029</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Low</td><td>14 (22)</td><td>50 (78)</td><td>[EMPTY_CELL]</td><td>57 (89)</td><td>7 (11)</td><td>[EMPTY_CELL]</td></tr><tr><td> High</td><td>0 (0)</td><td>18 (100)</td><td>[EMPTY_CELL]</td><td>14 (78)</td><td>4 (22)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [27, 20, 69, 30]}, {\"cell\": \"<b>LOX expression</b>\", \"bbox\": [261, 5, 332, 16]}, {\"cell\": \"<b>Cytoplasmic</b>\", \"bbox\": [134, 20, 189, 30]}, {\"cell\": \"<b>Nuclear</b>\", \"bbox\": [353, 20, 389, 30]}, {\"cell\": \"<b>Low (%)</b>\", \"bbox\": [106, 37, 146, 48]}, {\"cell\": \"<b>High (%)</b>\", \"bbox\": [172, 37, 215, 48]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [239, 37, 273, 48]}, {\"cell\": \"<b>Low (%)</b>\", \"bbox\": [319, 37, 359, 48]}, {\"cell\": \"<b>High (%)</b>\", \"bbox\": [382, 37, 424, 48]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [449, 37, 484, 48]}, {\"cell\": \"NF-κB\", \"bbox\": [4, 52, 34, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.388\", \"bbox\": [244, 55, 268, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 56, 483, 66]}, {\"cell\": \" Low\", \"bbox\": [14, 70, 35, 81]}, {\"cell\": \"15 (17)\", \"bbox\": [111, 70, 142, 81]}, {\"cell\": \"74 (83)\", \"bbox\": [178, 70, 209, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"84 (94)\", \"bbox\": [323, 70, 355, 81]}, {\"cell\": \"5 (6)\", \"bbox\": [393, 70, 415, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [14, 85, 36, 96]}, {\"cell\": \"11 (23)\", \"bbox\": [111, 85, 142, 96]}, {\"cell\": \"37 (77)\", \"bbox\": [178, 85, 209, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"34 (71)\", \"bbox\": [323, 85, 355, 96]}, {\"cell\": \"14 (29)\", \"bbox\": [387, 85, 418, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ki-67\", \"bbox\": [4, 100, 30, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.258\", \"bbox\": [244, 100, 268, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 100, 479, 111]}, {\"cell\": \" Low\", \"bbox\": [14, 115, 35, 126]}, {\"cell\": \"7 (13)\", \"bbox\": [114, 115, 141, 126]}, {\"cell\": \"45 (87)\", \"bbox\": [178, 115, 209, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"49 (94)\", \"bbox\": [323, 115, 355, 126]}, {\"cell\": \"3 (6)\", \"bbox\": [393, 115, 415, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [14, 130, 36, 141]}, {\"cell\": \"12 (22)\", \"bbox\": [111, 130, 142, 141]}, {\"cell\": \"43 (78)\", \"bbox\": [178, 130, 209, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"45 (82)\", \"bbox\": [323, 130, 355, 141]}, {\"cell\": \"10 (18)\", \"bbox\": [387, 130, 418, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Survivin\", \"bbox\": [4, 145, 41, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0.029</b>\", \"bbox\": [244, 145, 268, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 145, 479, 156]}, {\"cell\": \" Low\", \"bbox\": [14, 160, 35, 171]}, {\"cell\": \"14 (22)\", \"bbox\": [111, 160, 142, 171]}, {\"cell\": \"50 (78)\", \"bbox\": [178, 160, 209, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"57 (89)\", \"bbox\": [323, 160, 355, 171]}, {\"cell\": \"7 (11)\", \"bbox\": [391, 160, 417, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" High\", \"bbox\": [14, 175, 36, 186]}, {\"cell\": \"0 (0)\", \"bbox\": [117, 175, 138, 186]}, {\"cell\": \"18 (100)\", \"bbox\": [176, 175, 212, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14 (78)\", \"bbox\": [323, 175, 355, 186]}, {\"cell\": \"4 (22)\", \"bbox\": [391, 175, 417, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5601118_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}432{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>OARs</b></td><td><b>RA-FFF(Gy)</b></td><td><b>RA(Gy)</b></td><td><b>IMRT(Gy)</b></td><td><b>p value</b></td><td><b><i>p</i><sup>1</sup></b></td><td><b><i>p</i><sup>2</sup></b></td><td><b><i>p</i><sup>3</sup></b></td></tr></thead><tbody><tr><td>Spinal cord <i>D</i><sub>1<i>%</i></sub></td><td>41.22 ± 2.51</td><td>39.58 ± 2.21</td><td>40.00 ± 1.46</td><td>[EMPTY_CELL]</td><td>—</td><td>—</td><td>—</td></tr><tr><td>Brain stem <i>D</i><sub>1<i>%</i></sub></td><td>55.58 ± 3.25</td><td>53.22 ± 3.35</td><td>52.82 ± 2.52</td><td>[EMPTY_CELL]</td><td>0.013</td><td>0.017</td><td>0.359</td></tr><tr><td>Optic nerve (right) <i>D</i><sub>1<i>%</i></sub></td><td>16.91 ± 22.14</td><td>17.93 ± 21.52</td><td>16.45 ± 19.50</td><td>[EMPTY_CELL]</td><td>0.059</td><td>0.959</td><td>0.059</td></tr><tr><td>Optic nerve (left) <i>D</i><sub>1<i>%</i></sub></td><td>15.26 ± 18.32</td><td>16.55 ± 17.28</td><td>14.15 ± 15.75</td><td>[EMPTY_CELL]</td><td>—</td><td>—</td><td>—</td></tr><tr><td>Len (right) <i>D</i><sub>1<i>%</i></sub></td><td>5.36 ± 2.65</td><td>5.74 ± 2.36</td><td>5.35 ± 2.54</td><td>[EMPTY_CELL]</td><td>—</td><td>—</td><td>—</td></tr><tr><td>Len (left) <i>D</i><sub>1<i>%</i></sub></td><td>5.11 ± 2.08</td><td>5.32 ± 1.83</td><td>4.90 ± 1.95</td><td>[EMPTY_CELL]</td><td>—</td><td>—</td><td>—</td></tr><tr><td>Larynx Dmean</td><td>32.55 ± 2.97</td><td>31.83 ± 2.69</td><td>35.40 ± 1.90</td><td>[EMPTY_CELL]</td><td>0.025</td><td>0.007</td><td>0.005</td></tr><tr><td>Oral cavity Dmean</td><td>34.12 ± 2.23</td><td>33.31 ± 1.90</td><td>33.52 ± 1.38</td><td>[EMPTY_CELL]</td><td>0.017</td><td>0.169</td><td>0.646</td></tr><tr><td>Parotid (right) Dmean</td><td>35.95 ± 4.32</td><td>34.00 ± 3.87</td><td>36.57 ± 4.15</td><td>[EMPTY_CELL]</td><td>0.005</td><td>0.445</td><td>0.005</td></tr><tr><td>Parotid (left) Dmean</td><td>34.67 ± 3.62</td><td>33.47 ± 3.16</td><td>35.36 ± 2.97</td><td>[EMPTY_CELL]</td><td>0.005</td><td>0.059</td><td>0.005</td></tr><tr><td>Normal tissue Dmean</td><td>16.24 ± 2.10</td><td>16.41 ±2.09</td><td>16.20 ± 2.04</td><td>[EMPTY_CELL]</td><td>—</td><td>—</td><td>—</td></tr><tr><td>Skin Dmean</td><td>17.24 ± 2.31</td><td>16.82 ± 2.27</td><td>16.75 ± 2.32</td><td>[EMPTY_CELL]</td><td>0.017</td><td>0.007</td><td>0.646</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>OARs</b>\", \"bbox\": [1, 5, 21, 14]}, {\"cell\": \"<b>RA-FFF(Gy)</b>\", \"bbox\": [105, 5, 145, 14]}, {\"cell\": \"<b>RA(Gy)</b>\", \"bbox\": [184, 5, 210, 14]}, {\"cell\": \"<b>IMRT(Gy)</b>\", \"bbox\": [252, 5, 286, 14]}, {\"cell\": \"<b>p value</b>\", \"bbox\": [319, 5, 346, 14]}, {\"cell\": \"<b><i>p</i><sup>1</sup></b>\", \"bbox\": [378, 3, 387, 14]}, {\"cell\": \"<b><i>p</i><sup>2</sup></b>\", \"bbox\": [424, 3, 433, 14]}, {\"cell\": \"<b><i>p</i><sup>3</sup></b>\", \"bbox\": [470, 3, 479, 14]}, {\"cell\": \"Spinal cord <i>D</i><sub>1<i>%</i></sub>\", \"bbox\": [1, 19, 52, 29]}, {\"cell\": \"41.22 ± 2.51\", \"bbox\": [105, 19, 146, 29]}, {\"cell\": \"39.58 ± 2.21\", \"bbox\": [177, 19, 218, 29]}, {\"cell\": \"40.00 ± 1.46\", \"bbox\": [249, 19, 290, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 19, 342, 29]}, {\"cell\": \"—\", \"bbox\": [378, 19, 388, 29]}, {\"cell\": \"—\", \"bbox\": [424, 19, 434, 29]}, {\"cell\": \"—\", \"bbox\": [470, 19, 480, 29]}, {\"cell\": \"Brain stem <i>D</i><sub>1<i>%</i></sub>\", \"bbox\": [1, 33, 50, 43]}, {\"cell\": \"55.58 ± 3.25\", \"bbox\": [105, 33, 146, 43]}, {\"cell\": \"53.22 ± 3.35\", \"bbox\": [177, 33, 218, 43]}, {\"cell\": \"52.82 ± 2.52\", \"bbox\": [249, 33, 290, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 33, 342, 43]}, {\"cell\": \"0.013\", \"bbox\": [373, 33, 392, 43]}, {\"cell\": \"0.017\", \"bbox\": [419, 33, 438, 43]}, {\"cell\": \"0.359\", \"bbox\": [465, 33, 484, 43]}, {\"cell\": \"Optic nerve (right) <i>D</i><sub>1<i>%</i></sub>\", \"bbox\": [1, 47, 75, 57]}, {\"cell\": \"16.91 ± 22.14\", \"bbox\": [103, 47, 148, 57]}, {\"cell\": \"17.93 ± 21.52\", \"bbox\": [175, 47, 220, 57]}, {\"cell\": \"16.45 ± 19.50\", \"bbox\": [247, 47, 292, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 47, 342, 57]}, {\"cell\": \"0.059\", \"bbox\": [373, 47, 392, 57]}, {\"cell\": \"0.959\", \"bbox\": [419, 47, 438, 57]}, {\"cell\": \"0.059\", \"bbox\": [465, 47, 484, 57]}, {\"cell\": \"Optic nerve (left) <i>D</i><sub>1<i>%</i></sub>\", \"bbox\": [1, 61, 70, 71]}, {\"cell\": \"15.26 ± 18.32\", \"bbox\": [103, 61, 148, 71]}, {\"cell\": \"16.55 ± 17.28\", \"bbox\": [175, 61, 220, 71]}, {\"cell\": \"14.15 ± 15.75\", \"bbox\": [247, 61, 292, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 61, 342, 71]}, {\"cell\": \"—\", \"bbox\": [378, 61, 388, 71]}, {\"cell\": \"—\", \"bbox\": [424, 61, 434, 71]}, {\"cell\": \"—\", \"bbox\": [470, 61, 480, 71]}, {\"cell\": \"Len (right) <i>D</i><sub>1<i>%</i></sub>\", \"bbox\": [1, 75, 50, 85]}, {\"cell\": \"5.36 ± 2.65\", \"bbox\": [107, 75, 144, 85]}, {\"cell\": \"5.74 ± 2.36\", \"bbox\": [179, 75, 216, 85]}, {\"cell\": \"5.35 ± 2.54\", \"bbox\": [251, 75, 288, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 75, 342, 85]}, {\"cell\": \"—\", \"bbox\": [378, 75, 388, 85]}, {\"cell\": \"—\", \"bbox\": [424, 75, 434, 85]}, {\"cell\": \"—\", \"bbox\": [470, 75, 480, 85]}, {\"cell\": \"Len (left) <i>D</i><sub>1<i>%</i></sub>\", \"bbox\": [1, 89, 45, 99]}, {\"cell\": \"5.11 ± 2.08\", \"bbox\": [107, 89, 144, 98]}, {\"cell\": \"5.32 ± 1.83\", \"bbox\": [179, 89, 216, 98]}, {\"cell\": \"4.90 ± 1.95\", \"bbox\": [251, 89, 288, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 89, 342, 98]}, {\"cell\": \"—\", \"bbox\": [378, 89, 388, 98]}, {\"cell\": \"—\", \"bbox\": [424, 89, 434, 98]}, {\"cell\": \"—\", \"bbox\": [470, 89, 480, 98]}, {\"cell\": \"Larynx Dmean\", \"bbox\": [1, 103, 49, 112]}, {\"cell\": \"32.55 ± 2.97\", \"bbox\": [105, 103, 146, 112]}, {\"cell\": \"31.83 ± 2.69\", \"bbox\": [177, 103, 218, 112]}, {\"cell\": \"35.40 ± 1.90\", \"bbox\": [249, 103, 290, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 103, 342, 112]}, {\"cell\": \"0.025\", \"bbox\": [373, 103, 392, 112]}, {\"cell\": \"0.007\", \"bbox\": [419, 103, 438, 112]}, {\"cell\": \"0.005\", \"bbox\": [465, 103, 484, 112]}, {\"cell\": \"Oral cavity Dmean\", \"bbox\": [1, 117, 61, 126]}, {\"cell\": \"34.12 ± 2.23\", \"bbox\": [105, 117, 146, 126]}, {\"cell\": \"33.31 ± 1.90\", \"bbox\": [177, 117, 218, 126]}, {\"cell\": \"33.52 ± 1.38\", \"bbox\": [249, 117, 290, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 117, 342, 126]}, {\"cell\": \"0.017\", \"bbox\": [373, 117, 392, 126]}, {\"cell\": \"0.169\", \"bbox\": [419, 117, 438, 126]}, {\"cell\": \"0.646\", \"bbox\": [465, 117, 484, 126]}, {\"cell\": \"Parotid (right) Dmean\", \"bbox\": [1, 131, 72, 140]}, {\"cell\": \"35.95 ± 4.32\", \"bbox\": [105, 131, 146, 140]}, {\"cell\": \"34.00 ± 3.87\", \"bbox\": [177, 131, 218, 140]}, {\"cell\": \"36.57 ± 4.15\", \"bbox\": [249, 131, 290, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 131, 342, 140]}, {\"cell\": \"0.005\", \"bbox\": [373, 131, 392, 140]}, {\"cell\": \"0.445\", \"bbox\": [419, 131, 438, 140]}, {\"cell\": \"0.005\", \"bbox\": [465, 131, 484, 140]}, {\"cell\": \"Parotid (left) Dmean\", \"bbox\": [1, 145, 67, 154]}, {\"cell\": \"34.67 ± 3.62\", \"bbox\": [105, 145, 146, 154]}, {\"cell\": \"33.47 ± 3.16\", \"bbox\": [177, 145, 218, 154]}, {\"cell\": \"35.36 ± 2.97\", \"bbox\": [249, 145, 290, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 145, 346, 154]}, {\"cell\": \"0.005\", \"bbox\": [373, 145, 392, 154]}, {\"cell\": \"0.059\", \"bbox\": [419, 145, 438, 154]}, {\"cell\": \"0.005\", \"bbox\": [465, 145, 484, 154]}, {\"cell\": \"Normal tissue Dmean\", \"bbox\": [1, 159, 71, 168]}, {\"cell\": \"16.24 ± 2.10\", \"bbox\": [105, 159, 146, 168]}, {\"cell\": \"16.41 ±2.09\", \"bbox\": [178, 159, 216, 168]}, {\"cell\": \"16.20 ± 2.04\", \"bbox\": [249, 159, 290, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 159, 342, 168]}, {\"cell\": \"—\", \"bbox\": [378, 159, 388, 168]}, {\"cell\": \"—\", \"bbox\": [424, 159, 434, 168]}, {\"cell\": \"—\", \"bbox\": [470, 159, 480, 168]}, {\"cell\": \"Skin Dmean\", \"bbox\": [1, 173, 41, 182]}, {\"cell\": \"17.24 ± 2.31\", \"bbox\": [105, 173, 146, 182]}, {\"cell\": \"16.82 ± 2.27\", \"bbox\": [177, 173, 218, 182]}, {\"cell\": \"16.75 ± 2.32\", \"bbox\": [249, 173, 290, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 173, 342, 182]}, {\"cell\": \"0.017\", \"bbox\": [373, 173, 392, 182]}, {\"cell\": \"0.007\", \"bbox\": [419, 173, 438, 182]}, {\"cell\": \"0.646\", \"bbox\": [465, 173, 484, 182]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3720531_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}433{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Univariate Analysis</b></td></tr><tr><td><b>Variable</b></td><td><b><i>β</i></b></td><td><b>P</b></td><td><b>95% CI</b></td></tr></thead><tbody><tr><td>Sex</td><td>3.24</td><td>0.01</td><td>[EMPTY_CELL]</td></tr><tr><td>Body mass index (kg/m2)</td><td>-0.30</td><td>0.009</td><td>[EMPTY_CELL]</td></tr><tr><td>Abnormal glucose tolerance</td><td>-3.67</td><td>0.008</td><td>[EMPTY_CELL]</td></tr><tr><td>Metabolic syndrome</td><td>-2.47</td><td>0.047</td><td>[EMPTY_CELL]</td></tr><tr><td>Combined cardiovascular events</td><td>-2.03</td><td>0.16</td><td>[EMPTY_CELL]</td></tr><tr><td>Waist hip ratio (cm)</td><td>-21.48</td><td>0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>Log fasting glucose (mmol/L)</td><td>-4.55</td><td>0.04</td><td>[EMPTY_CELL]</td></tr><tr><td>Log triglyceride (mmol/L)</td><td>-6.10</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>Log HDL (mmol/L)</td><td>11.05</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>VLDL (mmol/L)</td><td>-5.99</td><td>0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>Apolipoprotein a (g/L)</td><td>10.93</td><td><0.001</td><td>[EMPTY_CELL]</td></tr><tr><td>C-reactive protein (mg/L)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>0.9-2</td><td><i>ref</i></td><td><i>ref</i></td><td>[EMPTY_CELL]</td></tr><tr><td>2.1-4.7</td><td>-1.15</td><td>0.44</td><td>[EMPTY_CELL]</td></tr><tr><td>4.8-84</td><td>-4.03</td><td>0.007</td><td>[EMPTY_CELL]</td></tr><tr><td>Urinary PCR (mg/L)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>5-14</td><td><i>ref</i></td><td><i>ref</i></td><td>[EMPTY_CELL]</td></tr><tr><td>15-35</td><td>0.18</td><td>0.91</td><td>[EMPTY_CELL]</td></tr><tr><td>36-1000</td><td>-2.27</td><td>0.15</td><td>[EMPTY_CELL]</td></tr><tr><td>GFR (mls/min/1.73 m2)</td><td>-0.45</td><td>0.18</td><td>[EMPTY_CELL]</td></tr><tr><td>ACE inhibitor (mg/day)</td><td>-2.12</td><td>0.1</td><td>[EMPTY_CELL]</td></tr><tr><td>ARB (mg/day)</td><td>2.70</td><td>0.1</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Univariate Analysis</b>\", \"bbox\": [144, 5, 220, 14]}, {\"cell\": \"<b>Variable</b>\", \"bbox\": [4, 15, 39, 24]}, {\"cell\": \"<b><i>β</i></b>\", \"bbox\": [132, 4, 145, 26]}, {\"cell\": \"<b>P</b>\", \"bbox\": [163, 15, 171, 24]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [199, 15, 227, 24]}, {\"cell\": \"Sex\", \"bbox\": [4, 37, 18, 47]}, {\"cell\": \"3.24\", \"bbox\": [128, 37, 144, 47]}, {\"cell\": \"0.01\", \"bbox\": [159, 37, 175, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 37, 229, 47]}, {\"cell\": \"Body mass index (kg/m2)\", \"bbox\": [4, 47, 90, 57]}, {\"cell\": \"-0.30\", \"bbox\": [127, 47, 146, 57]}, {\"cell\": \"0.009\", \"bbox\": [157, 47, 177, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 47, 237, 57]}, {\"cell\": \"Abnormal glucose tolerance\", \"bbox\": [4, 57, 100, 67]}, {\"cell\": \"-3.67\", \"bbox\": [127, 57, 146, 67]}, {\"cell\": \"0.008\", \"bbox\": [157, 57, 177, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 57, 229, 67]}, {\"cell\": \"Metabolic syndrome\", \"bbox\": [4, 68, 74, 77]}, {\"cell\": \"-2.47\", \"bbox\": [127, 68, 146, 77]}, {\"cell\": \"0.047\", \"bbox\": [157, 68, 177, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 68, 236, 77]}, {\"cell\": \"Combined cardiovascular events\", \"bbox\": [4, 78, 115, 88]}, {\"cell\": \"-2.03\", \"bbox\": [127, 78, 146, 88]}, {\"cell\": \"0.16\", \"bbox\": [159, 78, 175, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 78, 235, 88]}, {\"cell\": \"Waist hip ratio (cm)\", \"bbox\": [4, 88, 74, 98]}, {\"cell\": \"-21.48\", \"bbox\": [125, 88, 148, 98]}, {\"cell\": \"0.001\", \"bbox\": [157, 88, 177, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [187, 88, 239, 98]}, {\"cell\": \"Log fasting glucose (mmol/L)\", \"bbox\": [4, 98, 102, 108]}, {\"cell\": \"-4.55\", \"bbox\": [127, 98, 146, 108]}, {\"cell\": \"0.04\", \"bbox\": [159, 98, 175, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 98, 237, 108]}, {\"cell\": \"Log triglyceride (mmol/L)\", \"bbox\": [4, 109, 91, 118]}, {\"cell\": \"-6.10\", \"bbox\": [127, 109, 146, 118]}, {\"cell\": \"<0.001\", \"bbox\": [155, 109, 180, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 109, 237, 118]}, {\"cell\": \"Log HDL (mmol/L)\", \"bbox\": [4, 119, 70, 129]}, {\"cell\": \"11.05\", \"bbox\": [126, 119, 146, 129]}, {\"cell\": \"<0.001\", \"bbox\": [155, 119, 180, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 119, 236, 129]}, {\"cell\": \"VLDL (mmol/L)\", \"bbox\": [4, 129, 59, 139]}, {\"cell\": \"-5.99\", \"bbox\": [127, 129, 146, 139]}, {\"cell\": \"0.001\", \"bbox\": [157, 129, 177, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 129, 237, 139]}, {\"cell\": \"Apolipoprotein a (g/L)\", \"bbox\": [4, 139, 81, 149]}, {\"cell\": \"10.93\", \"bbox\": [126, 139, 146, 149]}, {\"cell\": \"<0.001\", \"bbox\": [155, 139, 180, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 139, 236, 149]}, {\"cell\": \"C-reactive protein (mg/L)\", \"bbox\": [4, 150, 92, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.9-2\", \"bbox\": [4, 160, 23, 170]}, {\"cell\": \"<i>ref</i>\", \"bbox\": [131, 160, 141, 169]}, {\"cell\": \"<i>ref</i>\", \"bbox\": [162, 160, 172, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 160, 218, 169]}, {\"cell\": \"2.1-4.7\", \"bbox\": [4, 170, 29, 180]}, {\"cell\": \"-1.15\", \"bbox\": [127, 170, 146, 180]}, {\"cell\": \"0.44\", \"bbox\": [159, 170, 175, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 170, 235, 180]}, {\"cell\": \"4.8-84\", \"bbox\": [4, 180, 27, 190]}, {\"cell\": \"-4.03\", \"bbox\": [127, 180, 146, 190]}, {\"cell\": \"0.007\", \"bbox\": [157, 180, 177, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 180, 237, 190]}, {\"cell\": \"Urinary PCR (mg/L)\", \"bbox\": [4, 191, 73, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5-14\", \"bbox\": [4, 201, 21, 211]}, {\"cell\": \"<i>ref</i>\", \"bbox\": [131, 201, 141, 210]}, {\"cell\": \"<i>ref</i>\", \"bbox\": [162, 201, 172, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 201, 218, 210]}, {\"cell\": \"15-35\", \"bbox\": [4, 211, 26, 221]}, {\"cell\": \"0.18\", \"bbox\": [128, 211, 144, 221]}, {\"cell\": \"0.91\", \"bbox\": [159, 211, 175, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 211, 235, 221]}, {\"cell\": \"36-1000\", \"bbox\": [4, 221, 34, 231]}, {\"cell\": \"-2.27\", \"bbox\": [127, 221, 146, 231]}, {\"cell\": \"0.15\", \"bbox\": [159, 221, 175, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 221, 235, 231]}, {\"cell\": \"GFR (mls/min/1.73 m2)\", \"bbox\": [4, 232, 84, 241]}, {\"cell\": \"-0.45\", \"bbox\": [127, 232, 146, 241]}, {\"cell\": \"0.18\", \"bbox\": [159, 232, 175, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 232, 235, 241]}, {\"cell\": \"ACE inhibitor (mg/day)\", \"bbox\": [4, 242, 84, 252]}, {\"cell\": \"-2.12\", \"bbox\": [127, 242, 146, 252]}, {\"cell\": \"0.1\", \"bbox\": [161, 242, 173, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 242, 235, 252]}, {\"cell\": \"ARB (mg/day)\", \"bbox\": [4, 252, 53, 262]}, {\"cell\": \"2.70\", \"bbox\": [128, 252, 144, 262]}, {\"cell\": \"0.1\", \"bbox\": [161, 252, 173, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 252, 235, 262]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2766377_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}434{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Barrier</b></td><td><b>Clinical practice n (%)</b></td><td><b>Policy formulation n (%)</b></td><td><b>Solving enhances use of CEA in clinical practice n (%)</b></td><td><b>Solving enhances use of CEA in policy formulation n (%)</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Lack of IT infrastructure e.g. hardware and software</td><td>72** (76.6)</td><td>65(69.9)</td><td>75 (80.7)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">N.S</td><td colspan=\\\"2\\\">N.S</td></tr><tr><td rowspan=\\\"2\\\">Lack of experts in the field of cost effectiveness analysis</td><td>81 (87.1)</td><td>76 (81.7)</td><td>89 (95.7)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">N.S</td><td colspan=\\\"2\\\">N.S</td></tr><tr><td rowspan=\\\"2\\\">Lack of or limited local data</td><td>85 (91.4)</td><td>82 (88.2)</td><td>88 (94.6)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">N.S</td><td colspan=\\\"2\\\">N.S</td></tr><tr><td rowspan=\\\"2\\\">Limited CEA training in schools</td><td>89 (95.7)</td><td>86 (92.5)</td><td>89 (95.7)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">N.S</td><td colspan=\\\"2\\\">N.S</td></tr><tr><td rowspan=\\\"2\\\">Fairness and ethical concerns</td><td>47 (50.5)</td><td>49 (54.1)</td><td>N/A</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">N.S</td><td colspan=\\\"2\\\">N/A</td></tr><tr><td rowspan=\\\"2\\\">Lack of training grants incorporating CEA</td><td>61 (65.6)</td><td>63 (67.7)</td><td>73 (78.5)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">N.S</td><td colspan=\\\"2\\\">N.S</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Barrier</b>\", \"bbox\": [1, 4, 26, 13]}, {\"cell\": \"<b>Clinical practice n (%)</b>\", \"bbox\": [141, 4, 197, 22]}, {\"cell\": \"<b>Policy formulation n (%)</b>\", \"bbox\": [203, 4, 268, 22]}, {\"cell\": \"<b>Solving enhances use of CEA in clinical practice n (%)</b>\", \"bbox\": [274, 4, 376, 22]}, {\"cell\": \"<b>Solving enhances use of CEA in policy formulation n (%)</b>\", \"bbox\": [382, 4, 484, 22]}, {\"cell\": \"Lack of IT infrastructure e.g. hardware and software\", \"bbox\": [1, 26, 123, 45]}, {\"cell\": \"72** (76.6)\", \"bbox\": [141, 26, 176, 36]}, {\"cell\": \"65(69.9)\", \"bbox\": [203, 26, 229, 36]}, {\"cell\": \"75 (80.7)\", \"bbox\": [274, 26, 303, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 26, 406, 36]}, {\"cell\": \"N.S\", \"bbox\": [141, 40, 153, 50]}, {\"cell\": \"N.S\", \"bbox\": [274, 40, 286, 50]}, {\"cell\": \"Lack of experts in the field of cost effectiveness analysis\", \"bbox\": [1, 54, 112, 73]}, {\"cell\": \"81 (87.1)\", \"bbox\": [141, 54, 170, 64]}, {\"cell\": \"76 (81.7)\", \"bbox\": [203, 54, 232, 64]}, {\"cell\": \"89 (95.7)\", \"bbox\": [274, 54, 303, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 54, 411, 64]}, {\"cell\": \"N.S\", \"bbox\": [141, 68, 153, 78]}, {\"cell\": \"N.S\", \"bbox\": [274, 68, 286, 78]}, {\"cell\": \"Lack of or limited local data\", \"bbox\": [1, 82, 92, 92]}, {\"cell\": \"85 (91.4)\", \"bbox\": [141, 82, 170, 92]}, {\"cell\": \"82 (88.2)\", \"bbox\": [203, 82, 232, 92]}, {\"cell\": \"88 (94.6)\", \"bbox\": [274, 82, 303, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 82, 411, 92]}, {\"cell\": \"N.S\", \"bbox\": [141, 96, 153, 106]}, {\"cell\": \"N.S\", \"bbox\": [274, 96, 286, 106]}, {\"cell\": \"Limited CEA training in schools\", \"bbox\": [1, 110, 103, 120]}, {\"cell\": \"89 (95.7)\", \"bbox\": [141, 110, 170, 120]}, {\"cell\": \"86 (92.5)\", \"bbox\": [203, 110, 232, 120]}, {\"cell\": \"89 (95.7)\", \"bbox\": [274, 110, 303, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 110, 411, 120]}, {\"cell\": \"N.S\", \"bbox\": [141, 124, 153, 134]}, {\"cell\": \"N.S\", \"bbox\": [274, 124, 286, 134]}, {\"cell\": \"Fairness and ethical concerns\", \"bbox\": [1, 138, 97, 148]}, {\"cell\": \"47 (50.5)\", \"bbox\": [141, 138, 170, 148]}, {\"cell\": \"49 (54.1)\", \"bbox\": [203, 138, 232, 148]}, {\"cell\": \"N/A\", \"bbox\": [274, 138, 289, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 138, 397, 148]}, {\"cell\": \"N.S\", \"bbox\": [141, 152, 153, 162]}, {\"cell\": \"N/A\", \"bbox\": [274, 152, 289, 162]}, {\"cell\": \"Lack of training grants incorporating CEA\", \"bbox\": [1, 166, 135, 176]}, {\"cell\": \"61 (65.6)\", \"bbox\": [141, 166, 170, 176]}, {\"cell\": \"63 (67.7)\", \"bbox\": [203, 166, 232, 176]}, {\"cell\": \"73 (78.5)\", \"bbox\": [274, 166, 303, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 166, 411, 176]}, {\"cell\": \"N.S\", \"bbox\": [141, 180, 153, 190]}, {\"cell\": \"N.S\", \"bbox\": [274, 180, 286, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4232642_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}435{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Intervention group(<i>n</i> = 197)</b></td><td><b>Historical control group(<i>n</i> = 405)</b></td><td><b><i>χ</i><sup>2</sup> (Z)</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Male gender</td><td>149 (75.6)</td><td>[EMPTY_CELL]</td><td>0.01</td><td>0.91</td></tr><tr><td>Age (yrs)</td><td>63.42 ± 11.87</td><td>[EMPTY_CELL]</td><td>−0.49</td><td>0.63</td></tr><tr><td>Hypertension</td><td>109 (55.3)</td><td>[EMPTY_CELL]</td><td>0.33</td><td>0.57</td></tr><tr><td>Diabetes</td><td>37 (18.8)</td><td>[EMPTY_CELL]</td><td>2.77</td><td>0.10</td></tr><tr><td>Hyperlipidemia</td><td>58 (29.4)</td><td>[EMPTY_CELL]</td><td>5.88</td><td>0.02</td></tr><tr><td>Previous coronary disease</td><td>14 (7.1)</td><td>[EMPTY_CELL]</td><td>0.66</td><td>0.42</td></tr><tr><td>Previous stroke </td><td>20 (10.2)</td><td>[EMPTY_CELL]</td><td>0.01</td><td>0.93</td></tr><tr><td>Current smoker</td><td>106 (53.8)</td><td>[EMPTY_CELL]</td><td>4.96</td><td>0.03</td></tr><tr><td>Family history of coronary disease </td><td>16 (8.1)</td><td>[EMPTY_CELL]</td><td>10.13</td><td>0.00</td></tr><tr><td>Clinical pattern</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> STEMI</td><td>176 (89.3)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.61</td><td rowspan=\\\"2\\\">0.44</td></tr><tr><td> NSTEMI</td><td>21 (10.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Cardiac function (Killips classification)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Level I </td><td>99 (64.7)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"4\\\">−0.96</td><td rowspan=\\\"4\\\">0.34</td></tr><tr><td> Level II </td><td>31 (20.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Level III </td><td>10 (6.5)</td><td>[EMPTY_CELL]</td></tr><tr><td> Level IV </td><td>13 (8.5)</td><td>[EMPTY_CELL]</td></tr><tr><td> Intravenous thrombolysis</td><td>8 (4.1)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">1.64</td><td rowspan=\\\"2\\\">0.20</td></tr><tr><td> Emergency PCI</td><td>189 (95.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Vascular lesions</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Single</td><td>64 (34.0)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"4\\\">−0.37</td><td rowspan=\\\"4\\\">0.72</td></tr><tr><td> Two branch</td><td>56 (29.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> Three branch</td><td>65 (34.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Stenosis < 50%</td><td>3 (1.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>Stent implantation</td><td>1.19 ± 0.63</td><td>[EMPTY_CELL]</td><td>−0.11</td><td>0.92</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [2, 8, 34, 19]}, {\"cell\": \"<b>Intervention group(<i>n</i> = 197)</b>\", \"bbox\": [177, 3, 248, 24]}, {\"cell\": \"<b>Historical control group(<i>n</i> = 405)</b>\", \"bbox\": [285, 3, 374, 24]}, {\"cell\": \"<b><i>χ</i><sup>2</sup> (Z)</b>\", \"bbox\": [411, 7, 435, 19]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [470, 8, 499, 19]}, {\"cell\": \"Male gender\", \"bbox\": [2, 26, 49, 37]}, {\"cell\": \"149 (75.6)\", \"bbox\": [193, 26, 232, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 26, 349, 37]}, {\"cell\": \"0.01\", \"bbox\": [414, 26, 431, 37]}, {\"cell\": \"0.91\", \"bbox\": [476, 26, 493, 37]}, {\"cell\": \"Age (yrs)\", \"bbox\": [2, 38, 37, 49]}, {\"cell\": \"63.42 ± 11.87\", \"bbox\": [187, 39, 238, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [304, 39, 355, 49]}, {\"cell\": \"−0.49\", \"bbox\": [411, 38, 435, 49]}, {\"cell\": \"0.63\", \"bbox\": [476, 38, 493, 49]}, {\"cell\": \"Hypertension\", \"bbox\": [2, 51, 54, 61]}, {\"cell\": \"109 (55.3)\", \"bbox\": [193, 51, 232, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 51, 349, 61]}, {\"cell\": \"0.33\", \"bbox\": [414, 51, 431, 61]}, {\"cell\": \"0.57\", \"bbox\": [476, 51, 493, 61]}, {\"cell\": \"Diabetes\", \"bbox\": [2, 63, 35, 73]}, {\"cell\": \"37 (18.8)\", \"bbox\": [195, 63, 229, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 63, 347, 74]}, {\"cell\": \"2.77\", \"bbox\": [414, 63, 431, 73]}, {\"cell\": \"0.10\", \"bbox\": [476, 63, 493, 73]}, {\"cell\": \"Hyperlipidemia\", \"bbox\": [2, 75, 61, 86]}, {\"cell\": \"58 (29.4)\", \"bbox\": [195, 75, 229, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 75, 347, 86]}, {\"cell\": \"5.88\", \"bbox\": [414, 75, 431, 86]}, {\"cell\": \"0.02\", \"bbox\": [476, 75, 493, 86]}, {\"cell\": \"Previous coronary disease\", \"bbox\": [2, 87, 97, 98]}, {\"cell\": \"14 (7.1)\", \"bbox\": [197, 88, 227, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 88, 345, 98]}, {\"cell\": \"0.66\", \"bbox\": [414, 87, 431, 98]}, {\"cell\": \"0.42\", \"bbox\": [476, 87, 493, 98]}, {\"cell\": \"Previous stroke \", \"bbox\": [2, 100, 60, 110]}, {\"cell\": \"20 (10.2)\", \"bbox\": [195, 100, 229, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 100, 345, 110]}, {\"cell\": \"0.01\", \"bbox\": [414, 100, 431, 110]}, {\"cell\": \"0.93\", \"bbox\": [476, 100, 493, 110]}, {\"cell\": \"Current smoker\", \"bbox\": [2, 112, 62, 122]}, {\"cell\": \"106 (53.8)\", \"bbox\": [193, 112, 232, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 112, 349, 123]}, {\"cell\": \"4.96\", \"bbox\": [414, 112, 431, 122]}, {\"cell\": \"0.03\", \"bbox\": [476, 112, 493, 122]}, {\"cell\": \"Family history of coronary disease \", \"bbox\": [2, 124, 127, 135]}, {\"cell\": \"16 (8.1)\", \"bbox\": [197, 124, 227, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 124, 347, 135]}, {\"cell\": \"10.13\", \"bbox\": [412, 124, 434, 135]}, {\"cell\": \"0.00\", \"bbox\": [476, 124, 493, 135]}, {\"cell\": \"Clinical pattern\", \"bbox\": [2, 137, 60, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" STEMI\", \"bbox\": [12, 150, 40, 160]}, {\"cell\": \"176 (89.3)\", \"bbox\": [193, 150, 232, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 150, 349, 161]}, {\"cell\": \"0.61\", \"bbox\": [414, 155, 431, 166]}, {\"cell\": \"0.44\", \"bbox\": [476, 155, 493, 166]}, {\"cell\": \" NSTEMI\", \"bbox\": [12, 162, 47, 173]}, {\"cell\": \"21 (10.7)\", \"bbox\": [195, 162, 229, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 162, 347, 173]}, {\"cell\": \"Cardiac function (Killips classification)\", \"bbox\": [2, 175, 145, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Level I \", \"bbox\": [12, 188, 38, 198]}, {\"cell\": \"99 (64.7)\", \"bbox\": [195, 188, 229, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 188, 349, 199]}, {\"cell\": \"−0.96\", \"bbox\": [411, 205, 435, 216]}, {\"cell\": \"0.34\", \"bbox\": [476, 205, 493, 216]}, {\"cell\": \" Level II \", \"bbox\": [12, 200, 41, 211]}, {\"cell\": \"31 (20.3)\", \"bbox\": [195, 200, 229, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 200, 347, 211]}, {\"cell\": \" Level III \", \"bbox\": [12, 212, 44, 223]}, {\"cell\": \"10 (6.5)\", \"bbox\": [197, 213, 227, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 213, 345, 223]}, {\"cell\": \" Level IV \", \"bbox\": [12, 225, 44, 235]}, {\"cell\": \"13 (8.5)\", \"bbox\": [197, 225, 227, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 225, 345, 236]}, {\"cell\": \" Intravenous thrombolysis\", \"bbox\": [12, 237, 106, 248]}, {\"cell\": \"8 (4.1)\", \"bbox\": [199, 237, 225, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 237, 345, 248]}, {\"cell\": \"1.64\", \"bbox\": [414, 242, 431, 253]}, {\"cell\": \"0.20\", \"bbox\": [476, 242, 493, 253]}, {\"cell\": \" Emergency PCI\", \"bbox\": [12, 249, 70, 260]}, {\"cell\": \"189 (95.9)\", \"bbox\": [193, 250, 232, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 250, 349, 260]}, {\"cell\": \"Vascular lesions\", \"bbox\": [2, 262, 61, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Single\", \"bbox\": [12, 275, 36, 286]}, {\"cell\": \"64 (34.0)\", \"bbox\": [195, 275, 229, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 275, 349, 286]}, {\"cell\": \"−0.37\", \"bbox\": [411, 292, 435, 303]}, {\"cell\": \"0.72\", \"bbox\": [476, 292, 493, 303]}, {\"cell\": \" Two branch\", \"bbox\": [12, 287, 57, 298]}, {\"cell\": \"56 (29.8)\", \"bbox\": [195, 288, 229, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 288, 349, 298]}, {\"cell\": \" Three branch\", \"bbox\": [12, 300, 63, 310]}, {\"cell\": \"65 (34.6)\", \"bbox\": [195, 300, 229, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 300, 349, 310]}, {\"cell\": \" Stenosis < 50%\", \"bbox\": [12, 312, 69, 323]}, {\"cell\": \"3 (1.6)\", \"bbox\": [199, 312, 225, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 312, 342, 323]}, {\"cell\": \"Stent implantation\", \"bbox\": [2, 324, 72, 335]}, {\"cell\": \"1.19 ± 0.63\", \"bbox\": [191, 324, 234, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 324, 351, 335]}, {\"cell\": \"−0.11\", \"bbox\": [411, 324, 435, 335]}, {\"cell\": \"0.92\", \"bbox\": [476, 324, 493, 335]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3450432_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}436{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>S.N.</b></td><td><b>Genes</b></td><td><b>Types</b></td><td><b>Functions</b></td><td><b>References</b></td></tr></thead><tbody><tr><td>1</td><td>[EMPTY_CELL]</td><td>Transcription factor</td><td>Regulation of meristem identity in plants (monocots and dicot); Activation/repression of GA-synthesis genes </td><td>[95, 96]</td></tr><tr><td>2</td><td>[EMPTY_CELL]</td><td>Receptor-like kinase</td><td>Maintenance of an equilibrium between cell enlargement and organ development; Regulation of apical/floral meristem determinacy</td><td>[76, 97]</td></tr><tr><td>3</td><td>[EMPTY_CELL]</td><td>Peptide</td><td>Binding with the receptor-like kinase <i>CLV1</i> as its ligand; Restricts <i>WUS</i> expression</td><td>[65, 76]</td></tr><tr><td>4</td><td>[EMPTY_CELL]</td><td>Auxin binding protein</td><td>ABP1- TMK1 complex formation for auxin perception; Maintenance of asymmetric growth at floral primordial region</td><td>[75, 99]</td></tr><tr><td>5</td><td>[EMPTY_CELL]</td><td>Plasma membrane associated small GTPase</td><td>Regulation of cellular processes; Maintenance of asymmetric growth under the influence of auxin</td><td>[75]</td></tr><tr><td>6</td><td>[EMPTY_CELL]</td><td>MADS-domain transcription factor</td><td>Interaction with floral genes <i>AG</i> and <i>AP3</i>; Regulation of floral organ formation</td><td>[98]</td></tr><tr><td>7</td><td>[EMPTY_CELL]</td><td>CRIB-containing ROP effector</td><td>Regulator of ROP6 gene; Maintenance of asymmetric growth under the influence of auxin</td><td>[99]</td></tr><tr><td>8</td><td>[EMPTY_CELL]</td><td>MADS-domain transcription factor</td><td>Chromatin remodelling; Regulation of flower initiation</td><td>[74, 98]</td></tr><tr><td>9</td><td>[EMPTY_CELL]</td><td>Homeodomain transcription factor</td><td>Stem cell activity in meristematic regions; Regulation offloral meristem determinacy</td><td>[65]</td></tr><tr><td>10</td><td>[EMPTY_CELL]</td><td>Transcription factor</td><td>Regulation of floral meristem identity; Activator of <i>AG, </i><i>AP3 </i>and <i>AP1 </i>genes</td><td>[73, 74]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>S.N.</b>\", \"bbox\": [1, 4, 14, 13]}, {\"cell\": \"<b>Genes</b>\", \"bbox\": [18, 4, 40, 13]}, {\"cell\": \"<b>Types</b>\", \"bbox\": [93, 4, 113, 13]}, {\"cell\": \"<b>Functions</b>\", \"bbox\": [175, 4, 209, 13]}, {\"cell\": \"<b>References</b>\", \"bbox\": [449, 4, 485, 13]}, {\"cell\": \"1\", \"bbox\": [1, 17, 6, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 17, 37, 26]}, {\"cell\": \"Transcription factor\", \"bbox\": [93, 17, 156, 27]}, {\"cell\": \"Regulation of meristem identity in plants (monocots and dicot); Activation/repression of GA-synthesis genes \", \"bbox\": [175, 17, 382, 36]}, {\"cell\": \"[95, 96]\", \"bbox\": [449, 17, 474, 27]}, {\"cell\": \"2\", \"bbox\": [1, 40, 6, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 40, 69, 49]}, {\"cell\": \"Receptor-like kinase\", \"bbox\": [93, 40, 158, 50]}, {\"cell\": \"Maintenance of an equilibrium between cell enlargement and organ development; Regulation of apical/floral meristem determinacy\", \"bbox\": [175, 40, 445, 59]}, {\"cell\": \"[76, 97]\", \"bbox\": [449, 40, 474, 50]}, {\"cell\": \"3\", \"bbox\": [1, 63, 6, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 63, 73, 72]}, {\"cell\": \"Peptide\", \"bbox\": [93, 63, 119, 73]}, {\"cell\": \"Binding with the receptor-like kinase <i>CLV1</i> as its ligand; Restricts <i>WUS</i> expression\", \"bbox\": [175, 63, 354, 82]}, {\"cell\": \"[65, 76]\", \"bbox\": [449, 63, 474, 73]}, {\"cell\": \"4\", \"bbox\": [1, 86, 6, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 86, 74, 104]}, {\"cell\": \"Auxin binding protein\", \"bbox\": [93, 86, 165, 96]}, {\"cell\": \"ABP1- TMK1 complex formation for auxin perception; Maintenance of asymmetric growth at floral primordial region\", \"bbox\": [175, 86, 376, 105]}, {\"cell\": \"[75, 99]\", \"bbox\": [449, 86, 474, 96]}, {\"cell\": \"5\", \"bbox\": [1, 109, 6, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 109, 76, 127]}, {\"cell\": \"Plasma membrane associated small GTPase\", \"bbox\": [93, 109, 172, 128]}, {\"cell\": \"Regulation of cellular processes; Maintenance of asymmetric growth under the influence of auxin\", \"bbox\": [175, 109, 386, 128]}, {\"cell\": \"[75]\", \"bbox\": [449, 109, 463, 119]}, {\"cell\": \"6\", \"bbox\": [1, 132, 6, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 132, 79, 141]}, {\"cell\": \"MADS-domain transcription factor\", \"bbox\": [93, 132, 155, 151]}, {\"cell\": \"Interaction with floral genes <i>AG</i> and <i>AP3</i>; Regulation of floral organ formation\", \"bbox\": [175, 132, 309, 151]}, {\"cell\": \"[98]\", \"bbox\": [449, 132, 463, 142]}, {\"cell\": \"7\", \"bbox\": [1, 155, 6, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 155, 89, 182]}, {\"cell\": \"CRIB-containing ROP effector\", \"bbox\": [93, 155, 161, 174]}, {\"cell\": \"Regulator of ROP6 gene; Maintenance of asymmetric growth under the influence of auxin\", \"bbox\": [175, 155, 386, 174]}, {\"cell\": \"[99]\", \"bbox\": [449, 155, 463, 165]}, {\"cell\": \"8\", \"bbox\": [1, 187, 6, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 187, 70, 196]}, {\"cell\": \"MADS-domain transcription factor\", \"bbox\": [93, 187, 155, 206]}, {\"cell\": \"Chromatin remodelling; Regulation of flower initiation\", \"bbox\": [175, 187, 273, 206]}, {\"cell\": \"[74, 98]\", \"bbox\": [449, 187, 474, 197]}, {\"cell\": \"9\", \"bbox\": [1, 210, 6, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 210, 71, 219]}, {\"cell\": \"Homeodomain transcription factor\", \"bbox\": [93, 210, 155, 229]}, {\"cell\": \"Stem cell activity in meristematic regions; Regulation offloral meristem determinacy\", \"bbox\": [175, 210, 315, 229]}, {\"cell\": \"[65]\", \"bbox\": [449, 210, 463, 220]}, {\"cell\": \"10\", \"bbox\": [1, 233, 10, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 233, 55, 242]}, {\"cell\": \"Transcription factor\", \"bbox\": [93, 233, 156, 243]}, {\"cell\": \"Regulation of floral meristem identity; Activator of <i>AG, </i><i>AP3 </i>and <i>AP1 </i>genes\", \"bbox\": [175, 233, 298, 252]}, {\"cell\": \"[73, 74]\", \"bbox\": [449, 233, 474, 243]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4866011_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}437{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Crude associations</b></td><td colspan=\\\"2\\\"><b>Model 2.1</b></td><td colspan=\\\"2\\\"><b>Model 2.2</b></td><td colspan=\\\"2\\\"><b>Model 2.3</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>OR</b></td><td><b>95% CI</b></td><td><b>OR</b></td><td><b>95% CI</b></td><td><b>OR</b></td><td><b>95% CI</b></td><td><b>OR</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Gender: female</td><td>1.169</td><td>(0.705; 1.938)</td><td>1.130</td><td>(0.658; 1.942)</td><td>1.291</td><td>(0.742; 2.246)</td><td>[EMPTY_CELL]</td><td>(0.707; 2.170)</td></tr><tr><td>Age</td><td>1.045</td><td>(0.986; 1.108)</td><td>1.056</td><td>(0.993; 1.124)</td><td>1.058</td><td>(0.993; 1.127)</td><td>[EMPTY_CELL]</td><td>(1.004; 1.144)</td></tr><tr><td>Low educational level</td><td>1.658*</td><td>(1.008; 2.728)</td><td>1.577</td><td>(0.931; 2.672)</td><td>1.543</td><td>(0.907; 2.624)</td><td>[EMPTY_CELL]</td><td>(0.943; 2.852)</td></tr><tr><td>Health-related behaviour</td><td>0.686**</td><td>(0.524; 0.898)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.678**</td><td>(0.511; 0.901)</td><td>[EMPTY_CELL]</td><td>(0.507; 0.905)</td></tr><tr><td>Physical demands</td><td>1.141</td><td>(0.993; 1.312)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.856; 1.185)</td></tr><tr><td>Psychological job demands</td><td>1.673***</td><td>(1.268; 2.207)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(1.017; 2.033)</td></tr><tr><td>Job control</td><td>0.565**</td><td>(0.383; 0.834)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.391; 0.892)</td></tr><tr><td>ERI: ER ratio > 1</td><td>3.197***</td><td>(1.800; 5.678)</td><td>3.374***</td><td>(1.881; 6.051)</td><td>3.334***</td><td>(1.852; 6.002)</td><td>[EMPTY_CELL]</td><td>(1.047; 4.183)</td></tr><tr><td>N-R<sup>2</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.063</td><td>[EMPTY_CELL]</td><td>0.084</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Crude associations</b>\", \"bbox\": [104, 4, 171, 12]}, {\"cell\": \"<b>Model 2.1</b>\", \"bbox\": [204, 4, 240, 12]}, {\"cell\": \"<b>Model 2.2</b>\", \"bbox\": [303, 4, 339, 12]}, {\"cell\": \"<b>Model 2.3</b>\", \"bbox\": [402, 4, 439, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>OR</b>\", \"bbox\": [104, 17, 116, 25]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [146, 17, 173, 25]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [204, 17, 216, 25]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [246, 17, 272, 25]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [303, 17, 315, 25]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [345, 17, 371, 25]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [402, 17, 414, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender: female\", \"bbox\": [1, 30, 51, 40]}, {\"cell\": \"1.169\", \"bbox\": [104, 30, 123, 40]}, {\"cell\": \"(0.705; 1.938)\", \"bbox\": [146, 30, 190, 40]}, {\"cell\": \"1.130\", \"bbox\": [204, 30, 222, 40]}, {\"cell\": \"(0.658; 1.942)\", \"bbox\": [246, 30, 289, 40]}, {\"cell\": \"1.291\", \"bbox\": [303, 30, 322, 40]}, {\"cell\": \"(0.742; 2.246)\", \"bbox\": [345, 30, 388, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 30, 421, 40]}, {\"cell\": \"(0.707; 2.170)\", \"bbox\": [441, 30, 484, 40]}, {\"cell\": \"Age\", \"bbox\": [1, 43, 15, 53]}, {\"cell\": \"1.045\", \"bbox\": [104, 43, 123, 53]}, {\"cell\": \"(0.986; 1.108)\", \"bbox\": [146, 43, 190, 53]}, {\"cell\": \"1.056\", \"bbox\": [204, 43, 222, 53]}, {\"cell\": \"(0.993; 1.124)\", \"bbox\": [246, 43, 289, 53]}, {\"cell\": \"1.058\", \"bbox\": [303, 43, 322, 53]}, {\"cell\": \"(0.993; 1.127)\", \"bbox\": [345, 43, 388, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 43, 424, 53]}, {\"cell\": \"(1.004; 1.144)\", \"bbox\": [441, 43, 484, 53]}, {\"cell\": \"Low educational level\", \"bbox\": [1, 56, 73, 66]}, {\"cell\": \"1.658*\", \"bbox\": [104, 56, 126, 66]}, {\"cell\": \"(1.008; 2.728)\", \"bbox\": [146, 56, 190, 66]}, {\"cell\": \"1.577\", \"bbox\": [204, 56, 222, 66]}, {\"cell\": \"(0.931; 2.672)\", \"bbox\": [246, 56, 289, 66]}, {\"cell\": \"1.543\", \"bbox\": [303, 56, 322, 66]}, {\"cell\": \"(0.907; 2.624)\", \"bbox\": [345, 56, 388, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 56, 421, 66]}, {\"cell\": \"(0.943; 2.852)\", \"bbox\": [441, 56, 484, 66]}, {\"cell\": \"Health-related behaviour\", \"bbox\": [1, 70, 82, 79]}, {\"cell\": \"0.686**\", \"bbox\": [104, 70, 129, 79]}, {\"cell\": \"(0.524; 0.898)\", \"bbox\": [146, 70, 190, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.678**\", \"bbox\": [303, 70, 328, 79]}, {\"cell\": \"(0.511; 0.901)\", \"bbox\": [345, 70, 388, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 70, 427, 79]}, {\"cell\": \"(0.507; 0.905)\", \"bbox\": [441, 70, 484, 79]}, {\"cell\": \"Physical demands\", \"bbox\": [1, 83, 60, 92]}, {\"cell\": \"1.141\", \"bbox\": [104, 83, 123, 92]}, {\"cell\": \"(0.993; 1.312)\", \"bbox\": [146, 83, 190, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 83, 421, 92]}, {\"cell\": \"(0.856; 1.185)\", \"bbox\": [441, 83, 484, 92]}, {\"cell\": \"Psychological job demands\", \"bbox\": [1, 96, 90, 105]}, {\"cell\": \"1.673***\", \"bbox\": [104, 96, 132, 105]}, {\"cell\": \"(1.268; 2.207)\", \"bbox\": [146, 96, 190, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 96, 424, 105]}, {\"cell\": \"(1.017; 2.033)\", \"bbox\": [441, 96, 484, 105]}, {\"cell\": \"Job control\", \"bbox\": [1, 109, 39, 119]}, {\"cell\": \"0.565**\", \"bbox\": [104, 109, 129, 119]}, {\"cell\": \"(0.383; 0.834)\", \"bbox\": [146, 109, 190, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 109, 424, 119]}, {\"cell\": \"(0.391; 0.892)\", \"bbox\": [441, 109, 484, 119]}, {\"cell\": \"ERI: ER ratio > 1\", \"bbox\": [1, 122, 53, 132]}, {\"cell\": \"3.197***\", \"bbox\": [104, 122, 132, 132]}, {\"cell\": \"(1.800; 5.678)\", \"bbox\": [146, 122, 190, 132]}, {\"cell\": \"3.374***\", \"bbox\": [204, 122, 232, 132]}, {\"cell\": \"(1.881; 6.051)\", \"bbox\": [246, 122, 289, 132]}, {\"cell\": \"3.334***\", \"bbox\": [303, 122, 331, 132]}, {\"cell\": \"(1.852; 6.002)\", \"bbox\": [345, 122, 388, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 122, 424, 132]}, {\"cell\": \"(1.047; 4.183)\", \"bbox\": [441, 122, 484, 132]}, {\"cell\": \"N-R<sup>2</sup>\", \"bbox\": [1, 134, 17, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.063\", \"bbox\": [204, 135, 222, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.084\", \"bbox\": [303, 135, 322, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 135, 421, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3505747_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}438{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Species</b></td><td><b>Satisfied</b></td><td><b>Not satisfied</b></td><td><b>Mann–Whitney <i>P</i> value</b></td></tr></thead><tbody><tr><td><i>Growing pigs</i></td><td>[EMPTY_CELL]</td><td><i>(n = 7)</i></td><td>[EMPTY_CELL]</td></tr><tr><td><i>n</i> pigs</td><td>[EMPTY_CELL]</td><td>357 (50–14700)</td><td>0.93</td></tr><tr><td>Poor body condition</td><td>[EMPTY_CELL]</td><td>1 (0–5)</td><td>0.82</td></tr><tr><td>Bursitis</td><td>[EMPTY_CELL]</td><td>74 (17–99)</td><td>1.00</td></tr><tr><td>Manure on body</td><td>[EMPTY_CELL]</td><td>44 (0–70)</td><td>0.36</td></tr><tr><td>Body lesions</td><td>[EMPTY_CELL]</td><td>7 (3–14)</td><td>0.07</td></tr><tr><td>Lame</td><td>[EMPTY_CELL]</td><td>0 (0–6)</td><td>0.10</td></tr><tr><td>Tail docked</td><td>[EMPTY_CELL]</td><td>100 (0–100)</td><td>0.59</td></tr><tr><td><i>Sows</i></td><td>[EMPTY_CELL]</td><td><i>(n = 5)</i></td><td>[EMPTY_CELL]</td></tr><tr><td><i>n</i> pigs</td><td>[EMPTY_CELL]</td><td>200 (6–2150)</td><td>[EMPTY_CELL]</td></tr><tr><td>Poor body condition</td><td>[EMPTY_CELL]</td><td>0 (0–38)</td><td>*</td></tr><tr><td>Bursitis</td><td>[EMPTY_CELL]</td><td>99 (50–100)</td><td>[EMPTY_CELL]</td></tr><tr><td>Soiled</td><td>[EMPTY_CELL]</td><td>42 (0–100)</td><td>[EMPTY_CELL]</td></tr><tr><td>Body lesions</td><td>[EMPTY_CELL]</td><td>25 (8–48)</td><td>[EMPTY_CELL]</td></tr><tr><td>Tail docked</td><td>[EMPTY_CELL]</td><td>100 (75–100)</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Sheep</i></td><td>[EMPTY_CELL]</td><td><i>(n = 8)</i></td><td>[EMPTY_CELL]</td></tr><tr><td><i>n</i> sheep</td><td>[EMPTY_CELL]</td><td>120 (42–413)</td><td>0.10</td></tr><tr><td>Wool loss</td><td>[EMPTY_CELL]</td><td>16 (0–52)</td><td>0.60</td></tr><tr><td><i>Cattle</i></td><td>[EMPTY_CELL]</td><td><i>(n = 6)</i></td><td>[EMPTY_CELL]</td></tr><tr><td><i>n</i> cattle</td><td>[EMPTY_CELL]</td><td>67 (38–345)</td><td>0.46</td></tr><tr><td>Lameness</td><td>[EMPTY_CELL]</td><td>7.5 (0–32)</td><td>0.41</td></tr><tr><td>Dirty flank</td><td>[EMPTY_CELL]</td><td>21 (0–30)</td><td>1.00</td></tr><tr><td>Dirty legs</td><td>[EMPTY_CELL]</td><td>29 (0–57)</td><td>0.90</td></tr><tr><td>Dirty udder</td><td>[EMPTY_CELL]</td><td>13 (0–43)</td><td>0.98</td></tr><tr><td>Any tarsal abnormality†</td><td>[EMPTY_CELL]</td><td>4 (0–12)</td><td>0.07</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Species</b>\", \"bbox\": [1, 5, 25, 13]}, {\"cell\": \"<b>Satisfied</b>\", \"bbox\": [73, 5, 101, 13]}, {\"cell\": \"<b>Not satisfied</b>\", \"bbox\": [126, 5, 166, 13]}, {\"cell\": \"<b>Mann–Whitney <i>P</i> value</b>\", \"bbox\": [181, 5, 209, 33]}, {\"cell\": \"<i>Growing pigs</i>\", \"bbox\": [1, 47, 43, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 47, 111, 55]}, {\"cell\": \"<i>(n = 7)</i>\", \"bbox\": [136, 47, 160, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>n</i> pigs\", \"bbox\": [1, 56, 21, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [73, 56, 118, 65]}, {\"cell\": \"357 (50–14700)\", \"bbox\": [126, 56, 174, 65]}, {\"cell\": \"0.93\", \"bbox\": [181, 56, 196, 65]}, {\"cell\": \"Poor body condition\", \"bbox\": [1, 66, 66, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 66, 107, 75]}, {\"cell\": \"1 (0–5)\", \"bbox\": [133, 66, 156, 75]}, {\"cell\": \"0.82\", \"bbox\": [181, 66, 196, 75]}, {\"cell\": \"Bursitis\", \"bbox\": [1, 76, 26, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 76, 111, 85]}, {\"cell\": \"74 (17–99)\", \"bbox\": [129, 76, 163, 85]}, {\"cell\": \"1.00\", \"bbox\": [181, 76, 196, 85]}, {\"cell\": \"Manure on body\", \"bbox\": [1, 86, 54, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 86, 107, 95]}, {\"cell\": \"44 (0–70)\", \"bbox\": [129, 86, 160, 95]}, {\"cell\": \"0.36\", \"bbox\": [181, 86, 196, 95]}, {\"cell\": \"Body lesions\", \"bbox\": [1, 96, 42, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 96, 111, 105]}, {\"cell\": \"7 (3–14)\", \"bbox\": [133, 96, 160, 105]}, {\"cell\": \"0.07\", \"bbox\": [181, 96, 196, 105]}, {\"cell\": \"Lame\", \"bbox\": [1, 106, 20, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 106, 107, 115]}, {\"cell\": \"0 (0–6)\", \"bbox\": [133, 106, 156, 115]}, {\"cell\": \"0.10\", \"bbox\": [181, 106, 196, 115]}, {\"cell\": \"Tail docked\", \"bbox\": [1, 116, 39, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [73, 116, 111, 125]}, {\"cell\": \"100 (0–100)\", \"bbox\": [126, 116, 163, 125]}, {\"cell\": \"0.59\", \"bbox\": [181, 116, 196, 125]}, {\"cell\": \"<i>Sows</i>\", \"bbox\": [1, 126, 18, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 126, 111, 135]}, {\"cell\": \"<i>(n = 5)</i>\", \"bbox\": [136, 126, 160, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>n</i> pigs\", \"bbox\": [1, 136, 21, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 136, 114, 145]}, {\"cell\": \"200 (6–2150)\", \"bbox\": [126, 136, 167, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Poor body condition\", \"bbox\": [1, 146, 66, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 146, 107, 155]}, {\"cell\": \"0 (0–38)\", \"bbox\": [133, 146, 160, 155]}, {\"cell\": \"*\", \"bbox\": [181, 146, 187, 155]}, {\"cell\": \"Bursitis\", \"bbox\": [1, 156, 26, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 156, 111, 165]}, {\"cell\": \"99 (50–100)\", \"bbox\": [129, 156, 167, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Soiled\", \"bbox\": [1, 166, 21, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 166, 107, 175]}, {\"cell\": \"42 (0–100)\", \"bbox\": [129, 166, 163, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Body lesions\", \"bbox\": [1, 176, 42, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 176, 107, 185]}, {\"cell\": \"25 (8–48)\", \"bbox\": [129, 176, 160, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tail docked\", \"bbox\": [1, 186, 39, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [73, 186, 111, 195]}, {\"cell\": \"100 (75–100)\", \"bbox\": [126, 186, 167, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Sheep</i>\", \"bbox\": [1, 196, 20, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 196, 111, 205]}, {\"cell\": \"<i>(n = 8)</i>\", \"bbox\": [136, 196, 160, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>n</i> sheep\", \"bbox\": [1, 206, 26, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 206, 111, 215]}, {\"cell\": \"120 (42–413)\", \"bbox\": [126, 206, 167, 215]}, {\"cell\": \"0.10\", \"bbox\": [181, 206, 196, 215]}, {\"cell\": \"Wool loss\", \"bbox\": [0, 216, 33, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 216, 107, 225]}, {\"cell\": \"16 (0–52)\", \"bbox\": [129, 216, 160, 225]}, {\"cell\": \"0.60\", \"bbox\": [181, 216, 196, 225]}, {\"cell\": \"<i>Cattle</i>\", \"bbox\": [0, 226, 20, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 226, 111, 235]}, {\"cell\": \"<i>(n = 6)</i>\", \"bbox\": [136, 226, 160, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>n</i> cattle\", \"bbox\": [0, 236, 25, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 236, 114, 245]}, {\"cell\": \"67 (38–345)\", \"bbox\": [129, 236, 167, 245]}, {\"cell\": \"0.46\", \"bbox\": [181, 236, 196, 245]}, {\"cell\": \"Lameness\", \"bbox\": [0, 246, 33, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [75, 246, 107, 255]}, {\"cell\": \"7.5 (0–32)\", \"bbox\": [127, 246, 160, 255]}, {\"cell\": \"0.41\", \"bbox\": [181, 246, 196, 255]}, {\"cell\": \"Dirty flank\", \"bbox\": [0, 256, 36, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 256, 107, 265]}, {\"cell\": \"21 (0–30)\", \"bbox\": [129, 256, 160, 265]}, {\"cell\": \"1.00\", \"bbox\": [181, 256, 196, 265]}, {\"cell\": \"Dirty legs\", \"bbox\": [0, 266, 33, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 266, 107, 275]}, {\"cell\": \"29 (0–57)\", \"bbox\": [129, 266, 160, 275]}, {\"cell\": \"0.90\", \"bbox\": [181, 266, 196, 275]}, {\"cell\": \"Dirty udder\", \"bbox\": [1, 276, 39, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 276, 107, 285]}, {\"cell\": \"13 (0–43)\", \"bbox\": [129, 276, 160, 285]}, {\"cell\": \"0.98\", \"bbox\": [181, 276, 196, 285]}, {\"cell\": \"Any tarsal abnormality†\", \"bbox\": [1, 286, 49, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 286, 104, 294]}, {\"cell\": \"4 (0–12)\", \"bbox\": [133, 286, 160, 294]}, {\"cell\": \"0.07\", \"bbox\": [181, 286, 196, 294]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5677772_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}439{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Crude Odds Ratio(95% Confidence Interval)</b></td><td><b>Adjusted Odds Ratio(95% Confidence Interval)</b></td></tr></thead><tbody><tr><td><b>Mother's age at delivery</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>< 25 years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>25-29 years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>30-34 years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>≥35 years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Highest level of education</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>University</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td>Trade / TAFE</td><td>[EMPTY_CELL]</td><td>1.12 (0.70 - 1.77)</td></tr><tr><td>High School</td><td>[EMPTY_CELL]</td><td>1.95 (1.08 - 3.53)</td></tr><tr><td><b>Mother's relationship status at infant's birth</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Relationship</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Not in a relationship</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Infant's gender</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Female</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Male</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Mother's country of birth</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Australia</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td>Other</td><td>[EMPTY_CELL]</td><td>0.61 (0.40 - 0.95)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [86, 4, 116, 13]}, {\"cell\": \"<b>Crude Odds Ratio(95% Confidence Interval)</b>\", \"bbox\": [228, 4, 320, 22]}, {\"cell\": \"<b>Adjusted Odds Ratio(95% Confidence Interval)</b>\", \"bbox\": [370, 4, 462, 22]}, {\"cell\": \"<b>Mother's age at delivery</b>\", \"bbox\": [58, 26, 145, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< 25 years\", \"bbox\": [83, 38, 119, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 38, 302, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"25-29 years\", \"bbox\": [82, 50, 120, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 50, 302, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30-34 years\", \"bbox\": [82, 62, 120, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 62, 302, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥35 years\", \"bbox\": [85, 74, 118, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 74, 282, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Highest level of education</b>\", \"bbox\": [54, 86, 148, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"University\", \"bbox\": [85, 98, 118, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 98, 282, 107]}, {\"cell\": \"1.00\", \"bbox\": [408, 98, 423, 107]}, {\"cell\": \"Trade / TAFE\", \"bbox\": [79, 110, 123, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 110, 302, 119]}, {\"cell\": \"1.12 (0.70 - 1.77)\", \"bbox\": [388, 110, 443, 119]}, {\"cell\": \"High School\", \"bbox\": [80, 122, 122, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 122, 302, 131]}, {\"cell\": \"1.95 (1.08 - 3.53)\", \"bbox\": [388, 122, 443, 131]}, {\"cell\": \"<b>Mother's relationship status at infant's birth</b>\", \"bbox\": [23, 134, 179, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Relationship\", \"bbox\": [81, 146, 121, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 146, 282, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Not in a relationship\", \"bbox\": [67, 158, 135, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 158, 302, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Infant's gender</b>\", \"bbox\": [74, 170, 128, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [89, 182, 114, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 182, 282, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [92, 194, 110, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 194, 302, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mother's country of birth</b>\", \"bbox\": [56, 205, 146, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Australia\", \"bbox\": [87, 218, 115, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 218, 282, 227]}, {\"cell\": \"1.00\", \"bbox\": [408, 218, 423, 227]}, {\"cell\": \"Other\", \"bbox\": [91, 230, 111, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 230, 302, 239]}, {\"cell\": \"0.61 (0.40 - 0.95)\", \"bbox\": [388, 230, 443, 239]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3323436_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}440{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Number of Used Antibiotic Packages in the Period</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Between October 2012 and October 2013</b></td><td><b>Between December 2013 and December 2014</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1851</td><td>1228</td></tr><tr><td>[EMPTY_CELL]</td><td>390</td><td>353</td></tr><tr><td>[EMPTY_CELL]</td><td>196</td><td>126</td></tr><tr><td>[EMPTY_CELL]</td><td>304</td><td>300</td></tr><tr><td>[EMPTY_CELL]</td><td>36</td><td>150</td></tr><tr><td>[EMPTY_CELL]</td><td>25</td><td>10</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>19</td></tr><tr><td>[EMPTY_CELL]</td><td>32</td><td>7</td></tr><tr><td>[EMPTY_CELL]</td><td>13</td><td>8</td></tr><tr><td>[EMPTY_CELL]</td><td>86</td><td>20</td></tr><tr><td>[EMPTY_CELL]</td><td>148</td><td>233</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>6</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>3</td></tr><tr><td>[EMPTY_CELL]</td><td>393</td><td>180</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of Used Antibiotic Packages in the Period</b>\", \"bbox\": [174, 5, 383, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Between October 2012 and October 2013</b>\", \"bbox\": [157, 16, 267, 38]}, {\"cell\": \"<b>Between December 2013 and December 2014</b>\", \"bbox\": [282, 16, 401, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [43, 43, 107, 54]}, {\"cell\": \"1851\", \"bbox\": [202, 43, 222, 54]}, {\"cell\": \"1228\", \"bbox\": [331, 43, 351, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [55, 54, 95, 65]}, {\"cell\": \"390\", \"bbox\": [204, 54, 220, 65]}, {\"cell\": \"353\", \"bbox\": [333, 54, 349, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 65, 141, 76]}, {\"cell\": \"196\", \"bbox\": [204, 65, 220, 76]}, {\"cell\": \"126\", \"bbox\": [333, 65, 349, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 76, 111, 87]}, {\"cell\": \"304\", \"bbox\": [204, 76, 220, 87]}, {\"cell\": \"300\", \"bbox\": [333, 76, 349, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 87, 111, 98]}, {\"cell\": \"36\", \"bbox\": [206, 87, 217, 98]}, {\"cell\": \"150\", \"bbox\": [333, 87, 349, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [49, 98, 102, 109]}, {\"cell\": \"25\", \"bbox\": [206, 98, 217, 109]}, {\"cell\": \"10\", \"bbox\": [336, 98, 347, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [52, 109, 98, 120]}, {\"cell\": \"3\", \"bbox\": [209, 109, 215, 120]}, {\"cell\": \"19\", \"bbox\": [336, 109, 347, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [52, 120, 98, 131]}, {\"cell\": \"32\", \"bbox\": [206, 120, 217, 131]}, {\"cell\": \"7\", \"bbox\": [338, 120, 344, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [48, 131, 102, 142]}, {\"cell\": \"13\", \"bbox\": [206, 131, 217, 142]}, {\"cell\": \"8\", \"bbox\": [338, 131, 344, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 142, 105, 153]}, {\"cell\": \"86\", \"bbox\": [206, 142, 217, 153]}, {\"cell\": \"20\", \"bbox\": [336, 142, 347, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 153, 105, 164]}, {\"cell\": \"148\", \"bbox\": [204, 153, 220, 164]}, {\"cell\": \"233\", \"bbox\": [333, 153, 349, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [55, 164, 95, 175]}, {\"cell\": \"1\", \"bbox\": [209, 164, 215, 175]}, {\"cell\": \"6\", \"bbox\": [338, 164, 344, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [59, 175, 92, 186]}, {\"cell\": \"3\", \"bbox\": [209, 175, 215, 186]}, {\"cell\": \"3\", \"bbox\": [338, 175, 344, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 186, 88, 197]}, {\"cell\": \"393\", \"bbox\": [204, 186, 220, 197]}, {\"cell\": \"180\", \"bbox\": [333, 186, 349, 197]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4690078_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}441{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Collection methods</b></td><td><b>Trap nights</b></td><td><b>Total catch</b></td><td><b>Mean catch</b></td><td><b>Relative sensitivity</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 1</td><td>18</td><td>1306</td><td>72.6</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 1</td><td>18</td><td>483</td><td>26.8</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 2</td><td>18</td><td>429</td><td>23.8</td><td>0.28</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 1</td><td>18</td><td>1099</td><td>61.1</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 2</td><td>18</td><td>1007</td><td>55.9</td><td>0.65</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 3</td><td>164</td><td>442</td><td>2.7</td><td>0.32</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 1</td><td>54</td><td>3736</td><td>69.2</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 2</td><td>36</td><td>4008</td><td>111.3</td><td>1.30</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 2</td><td>36</td><td>3081</td><td>85.6</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 3</td><td>164</td><td>1398</td><td>8.5</td><td>NA</td></tr><tr><td colspan=\\\"6\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 1</td><td>18</td><td>2</td><td>0.11</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 1</td><td>18</td><td>2</td><td>0.11</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 2</td><td>18</td><td>2</td><td>0.11</td><td>0.28</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 1</td><td>18</td><td>3</td><td>0.16</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 2</td><td>18</td><td>4</td><td>0.22</td><td>0.55</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 3</td><td>164</td><td>13</td><td>0.07</td><td>1.40</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 1</td><td>54</td><td>21</td><td>0.38</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 2</td><td>36</td><td>24</td><td>0.68</td><td>1.70</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 2</td><td>36</td><td>14</td><td>0.40</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>Experiment 3</td><td>164</td><td>8</td><td>0.05</td><td>NA</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Collection methods</b>\", \"bbox\": [1, 8, 79, 17]}, {\"cell\": \"<b>Trap nights</b>\", \"bbox\": [167, 8, 213, 17]}, {\"cell\": \"<b>Total catch</b>\", \"bbox\": [249, 8, 295, 17]}, {\"cell\": \"<b>Mean catch</b>\", \"bbox\": [330, 8, 377, 17]}, {\"cell\": \"<b>Relative sensitivity</b>\", \"bbox\": [412, 8, 486, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 25, 87, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 35, 25, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 1\", \"bbox\": [68, 44, 116, 54]}, {\"cell\": \"18\", \"bbox\": [185, 44, 195, 54]}, {\"cell\": \"1306\", \"bbox\": [262, 44, 281, 54]}, {\"cell\": \"72.6\", \"bbox\": [345, 44, 362, 54]}, {\"cell\": \"NA\", \"bbox\": [442, 44, 456, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 32, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 1\", \"bbox\": [68, 63, 116, 73]}, {\"cell\": \"18\", \"bbox\": [185, 63, 195, 73]}, {\"cell\": \"483\", \"bbox\": [265, 63, 279, 73]}, {\"cell\": \"26.8\", \"bbox\": [345, 63, 362, 73]}, {\"cell\": \"NA\", \"bbox\": [442, 63, 456, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 2\", \"bbox\": [68, 73, 116, 82]}, {\"cell\": \"18\", \"bbox\": [185, 73, 195, 82]}, {\"cell\": \"429\", \"bbox\": [265, 73, 279, 82]}, {\"cell\": \"23.8\", \"bbox\": [345, 73, 362, 82]}, {\"cell\": \"0.28\", \"bbox\": [441, 73, 457, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 32, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 1\", \"bbox\": [68, 92, 116, 101]}, {\"cell\": \"18\", \"bbox\": [185, 92, 195, 101]}, {\"cell\": \"1099\", \"bbox\": [262, 92, 281, 101]}, {\"cell\": \"61.1\", \"bbox\": [345, 92, 362, 101]}, {\"cell\": \"NA\", \"bbox\": [442, 92, 456, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 2\", \"bbox\": [68, 101, 116, 111]}, {\"cell\": \"18\", \"bbox\": [185, 101, 195, 111]}, {\"cell\": \"1007\", \"bbox\": [262, 101, 281, 111]}, {\"cell\": \"55.9\", \"bbox\": [345, 101, 362, 111]}, {\"cell\": \"0.65\", \"bbox\": [441, 101, 457, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 3\", \"bbox\": [68, 111, 116, 120]}, {\"cell\": \"164\", \"bbox\": [183, 111, 197, 120]}, {\"cell\": \"442\", \"bbox\": [265, 111, 279, 120]}, {\"cell\": \"2.7\", \"bbox\": [347, 111, 359, 120]}, {\"cell\": \"0.32\", \"bbox\": [441, 111, 457, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 120, 33, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 1\", \"bbox\": [68, 130, 116, 139]}, {\"cell\": \"54\", \"bbox\": [185, 130, 195, 139]}, {\"cell\": \"3736\", \"bbox\": [262, 130, 281, 139]}, {\"cell\": \"69.2\", \"bbox\": [345, 130, 362, 139]}, {\"cell\": \"NA\", \"bbox\": [442, 130, 456, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 2\", \"bbox\": [68, 139, 116, 149]}, {\"cell\": \"36\", \"bbox\": [185, 139, 195, 149]}, {\"cell\": \"4008\", \"bbox\": [262, 139, 281, 149]}, {\"cell\": \"111.3\", \"bbox\": [343, 139, 364, 149]}, {\"cell\": \"1.30\", \"bbox\": [441, 139, 457, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 149, 16, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 2\", \"bbox\": [68, 158, 116, 168]}, {\"cell\": \"36\", \"bbox\": [185, 158, 195, 168]}, {\"cell\": \"3081\", \"bbox\": [262, 158, 281, 168]}, {\"cell\": \"85.6\", \"bbox\": [345, 158, 362, 168]}, {\"cell\": \"NA\", \"bbox\": [442, 158, 456, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 3\", \"bbox\": [68, 167, 116, 177]}, {\"cell\": \"164\", \"bbox\": [183, 167, 197, 177]}, {\"cell\": \"1398\", \"bbox\": [262, 167, 281, 177]}, {\"cell\": \"8.5\", \"bbox\": [347, 167, 359, 177]}, {\"cell\": \"NA\", \"bbox\": [442, 167, 456, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 177, 73, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 186, 25, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 1\", \"bbox\": [68, 196, 116, 205]}, {\"cell\": \"18\", \"bbox\": [185, 196, 195, 205]}, {\"cell\": \"2\", \"bbox\": [269, 196, 275, 205]}, {\"cell\": \"0.11\", \"bbox\": [345, 196, 362, 205]}, {\"cell\": \"NA\", \"bbox\": [442, 196, 456, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 205, 32, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 1\", \"bbox\": [68, 215, 116, 224]}, {\"cell\": \"18\", \"bbox\": [185, 215, 195, 224]}, {\"cell\": \"2\", \"bbox\": [269, 215, 275, 224]}, {\"cell\": \"0.11\", \"bbox\": [345, 215, 362, 224]}, {\"cell\": \"NA\", \"bbox\": [442, 215, 456, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 2\", \"bbox\": [68, 224, 116, 234]}, {\"cell\": \"18\", \"bbox\": [185, 224, 195, 234]}, {\"cell\": \"2\", \"bbox\": [269, 224, 275, 234]}, {\"cell\": \"0.11\", \"bbox\": [345, 224, 362, 234]}, {\"cell\": \"0.28\", \"bbox\": [441, 224, 457, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 234, 32, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 1\", \"bbox\": [68, 243, 116, 253]}, {\"cell\": \"18\", \"bbox\": [185, 243, 195, 253]}, {\"cell\": \"3\", \"bbox\": [269, 243, 275, 253]}, {\"cell\": \"0.16\", \"bbox\": [345, 243, 362, 253]}, {\"cell\": \"NA\", \"bbox\": [442, 243, 456, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 2\", \"bbox\": [68, 253, 116, 262]}, {\"cell\": \"18\", \"bbox\": [185, 253, 195, 262]}, {\"cell\": \"4\", \"bbox\": [269, 253, 275, 262]}, {\"cell\": \"0.22\", \"bbox\": [345, 253, 362, 262]}, {\"cell\": \"0.55\", \"bbox\": [441, 253, 457, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 3\", \"bbox\": [68, 262, 116, 272]}, {\"cell\": \"164\", \"bbox\": [183, 262, 197, 272]}, {\"cell\": \"13\", \"bbox\": [267, 262, 277, 272]}, {\"cell\": \"0.07\", \"bbox\": [345, 262, 362, 272]}, {\"cell\": \"1.40\", \"bbox\": [441, 262, 457, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 272, 33, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 1\", \"bbox\": [68, 281, 116, 291]}, {\"cell\": \"54\", \"bbox\": [185, 281, 195, 291]}, {\"cell\": \"21\", \"bbox\": [267, 281, 277, 291]}, {\"cell\": \"0.38\", \"bbox\": [345, 281, 362, 291]}, {\"cell\": \"NA\", \"bbox\": [442, 281, 456, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 2\", \"bbox\": [68, 290, 116, 300]}, {\"cell\": \"36\", \"bbox\": [185, 290, 195, 300]}, {\"cell\": \"24\", \"bbox\": [267, 290, 277, 300]}, {\"cell\": \"0.68\", \"bbox\": [345, 290, 362, 300]}, {\"cell\": \"1.70\", \"bbox\": [441, 290, 457, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 300, 16, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 2\", \"bbox\": [68, 309, 116, 319]}, {\"cell\": \"36\", \"bbox\": [185, 309, 195, 319]}, {\"cell\": \"14\", \"bbox\": [267, 309, 277, 319]}, {\"cell\": \"0.40\", \"bbox\": [345, 309, 362, 319]}, {\"cell\": \"NA\", \"bbox\": [442, 309, 456, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Experiment 3\", \"bbox\": [68, 319, 116, 328]}, {\"cell\": \"164\", \"bbox\": [183, 319, 197, 328]}, {\"cell\": \"8\", \"bbox\": [269, 319, 275, 328]}, {\"cell\": \"0.05\", \"bbox\": [345, 319, 362, 328]}, {\"cell\": \"NA\", \"bbox\": [442, 319, 456, 328]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2720981_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}442{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Percent*</b></td><td><b>Weighted N</b></td><td><b>Unweighted N</b></td></tr></thead><tbody><tr><td>Urban site</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Dakar</td><td>[EMPTY_CELL]</td><td>682</td><td>289</td></tr><tr><td>Guédiawaye</td><td>[EMPTY_CELL]</td><td>170</td><td>240</td></tr><tr><td>Pikine</td><td>[EMPTY_CELL]</td><td>280</td><td>289</td></tr><tr><td>Mbao</td><td>[EMPTY_CELL]</td><td>472</td><td>232</td></tr><tr><td>Mbour</td><td>[EMPTY_CELL]</td><td>135</td><td>488</td></tr><tr><td>Kaolack</td><td>[EMPTY_CELL]</td><td>142</td><td>482</td></tr><tr><td>Age group</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><25</td><td>[EMPTY_CELL]</td><td>503</td><td>603</td></tr><tr><td>25–34</td><td>[EMPTY_CELL]</td><td>966</td><td>1011</td></tr><tr><td>35–39</td><td>[EMPTY_CELL]</td><td>278</td><td>272</td></tr><tr><td>40+</td><td>[EMPTY_CELL]</td><td>133</td><td>134</td></tr><tr><td>Education level</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>None</td><td>[EMPTY_CELL]</td><td>803</td><td>946</td></tr><tr><td>Primary</td><td>[EMPTY_CELL]</td><td>679</td><td>746</td></tr><tr><td>Secondary</td><td>[EMPTY_CELL]</td><td>397</td><td>328</td></tr><tr><td>Wealth tertile</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Poorest</td><td>[EMPTY_CELL]</td><td>715</td><td>864</td></tr><tr><td>Medium</td><td>[EMPTY_CELL]</td><td>629</td><td>704</td></tr><tr><td>Highest</td><td>[EMPTY_CELL]</td><td>535</td><td>452</td></tr><tr><td>Religion</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Non-Muslim</td><td>[EMPTY_CELL]</td><td>97</td><td>63</td></tr><tr><td>Muslim</td><td>[EMPTY_CELL]</td><td>1,782</td><td>1,957</td></tr><tr><td>Type of union</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Monogamous</td><td>[EMPTY_CELL]</td><td>1,433</td><td>1,536</td></tr><tr><td>Polygynous</td><td>[EMPTY_CELL]</td><td>446</td><td>484</td></tr><tr><td>Number of children</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>0–1</td><td>[EMPTY_CELL]</td><td>462</td><td>481</td></tr><tr><td>2</td><td>[EMPTY_CELL]</td><td>442</td><td>472</td></tr><tr><td>3</td><td>[EMPTY_CELL]</td><td>380</td><td>390</td></tr><tr><td>4</td><td>[EMPTY_CELL]</td><td>595</td><td>677</td></tr><tr><td>Duration postpartum</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><6 months</td><td>[EMPTY_CELL]</td><td>488</td><td>485</td></tr><tr><td>6–11 months</td><td>[EMPTY_CELL]</td><td>496</td><td>588</td></tr><tr><td>12–17 months</td><td>[EMPTY_CELL]</td><td>446</td><td>436</td></tr><tr><td>18–23 months</td><td>[EMPTY_CELL]</td><td>449</td><td>511</td></tr><tr><td>Total</td><td>[EMPTY_CELL]</td><td>1,879</td><td>2,020</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Percent*</b>\", \"bbox\": [83, 4, 115, 13]}, {\"cell\": \"<b>Weighted N</b>\", \"bbox\": [128, 4, 171, 13]}, {\"cell\": \"<b>Unweighted N</b>\", \"bbox\": [185, 4, 236, 13]}, {\"cell\": \"Urban site\", \"bbox\": [0, 17, 35, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dakar\", \"bbox\": [8, 31, 28, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 31, 106, 41]}, {\"cell\": \"682\", \"bbox\": [143, 31, 156, 41]}, {\"cell\": \"289\", \"bbox\": [204, 31, 217, 41]}, {\"cell\": \"Guédiawaye\", \"bbox\": [8, 45, 50, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 45, 104, 55]}, {\"cell\": \"170\", \"bbox\": [143, 45, 156, 55]}, {\"cell\": \"240\", \"bbox\": [204, 45, 217, 55]}, {\"cell\": \"Pikine\", \"bbox\": [8, 59, 29, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 59, 106, 69]}, {\"cell\": \"280\", \"bbox\": [143, 59, 156, 69]}, {\"cell\": \"289\", \"bbox\": [204, 59, 217, 69]}, {\"cell\": \"Mbao\", \"bbox\": [8, 73, 29, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 73, 106, 83]}, {\"cell\": \"472\", \"bbox\": [143, 73, 156, 83]}, {\"cell\": \"232\", \"bbox\": [204, 73, 217, 83]}, {\"cell\": \"Mbour\", \"bbox\": [8, 87, 32, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 87, 104, 97]}, {\"cell\": \"135\", \"bbox\": [143, 87, 156, 97]}, {\"cell\": \"488\", \"bbox\": [204, 87, 217, 97]}, {\"cell\": \"Kaolack\", \"bbox\": [8, 101, 34, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 101, 104, 111]}, {\"cell\": \"142\", \"bbox\": [143, 101, 156, 111]}, {\"cell\": \"482\", \"bbox\": [204, 101, 217, 111]}, {\"cell\": \"Age group\", \"bbox\": [0, 115, 37, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<25\", \"bbox\": [8, 129, 23, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 129, 106, 139]}, {\"cell\": \"503\", \"bbox\": [143, 129, 156, 139]}, {\"cell\": \"603\", \"bbox\": [204, 129, 217, 139]}, {\"cell\": \"25–34\", \"bbox\": [8, 143, 30, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 143, 106, 153]}, {\"cell\": \"966\", \"bbox\": [143, 143, 156, 153]}, {\"cell\": \"1011\", \"bbox\": [202, 143, 219, 153]}, {\"cell\": \"35–39\", \"bbox\": [8, 157, 30, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 157, 106, 167]}, {\"cell\": \"278\", \"bbox\": [143, 157, 156, 167]}, {\"cell\": \"272\", \"bbox\": [204, 157, 217, 167]}, {\"cell\": \"40+\", \"bbox\": [8, 171, 23, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 171, 104, 181]}, {\"cell\": \"133\", \"bbox\": [143, 171, 156, 181]}, {\"cell\": \"134\", \"bbox\": [204, 171, 217, 181]}, {\"cell\": \"Education level\", \"bbox\": [0, 185, 51, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [8, 199, 28, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 199, 106, 209]}, {\"cell\": \"803\", \"bbox\": [143, 199, 156, 209]}, {\"cell\": \"946\", \"bbox\": [204, 199, 217, 209]}, {\"cell\": \"Primary\", \"bbox\": [8, 213, 34, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 213, 106, 223]}, {\"cell\": \"679\", \"bbox\": [143, 213, 156, 223]}, {\"cell\": \"746\", \"bbox\": [204, 213, 217, 223]}, {\"cell\": \"Secondary\", \"bbox\": [8, 227, 44, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 227, 106, 237]}, {\"cell\": \"397\", \"bbox\": [143, 227, 156, 237]}, {\"cell\": \"328\", \"bbox\": [204, 227, 217, 237]}, {\"cell\": \"Wealth tertile\", \"bbox\": [0, 241, 45, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Poorest\", \"bbox\": [8, 255, 34, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 255, 106, 265]}, {\"cell\": \"715\", \"bbox\": [143, 255, 156, 265]}, {\"cell\": \"864\", \"bbox\": [204, 255, 217, 265]}, {\"cell\": \"Medium\", \"bbox\": [8, 269, 37, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 269, 106, 279]}, {\"cell\": \"629\", \"bbox\": [143, 269, 156, 279]}, {\"cell\": \"704\", \"bbox\": [204, 269, 217, 279]}, {\"cell\": \"Highest\", \"bbox\": [8, 283, 35, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 283, 106, 293]}, {\"cell\": \"535\", \"bbox\": [143, 283, 156, 293]}, {\"cell\": \"452\", \"bbox\": [204, 283, 217, 293]}, {\"cell\": \"Religion\", \"bbox\": [0, 297, 28, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-Muslim\", \"bbox\": [8, 311, 49, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 311, 104, 321]}, {\"cell\": \"97\", \"bbox\": [145, 311, 154, 321]}, {\"cell\": \"63\", \"bbox\": [206, 311, 215, 321]}, {\"cell\": \"Muslim\", \"bbox\": [8, 325, 34, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 325, 106, 335]}, {\"cell\": \"1,782\", \"bbox\": [140, 325, 159, 335]}, {\"cell\": \"1,957\", \"bbox\": [201, 325, 220, 335]}, {\"cell\": \"Type of union\", \"bbox\": [0, 339, 47, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Monogamous\", \"bbox\": [8, 353, 55, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 353, 106, 363]}, {\"cell\": \"1,433\", \"bbox\": [140, 353, 159, 363]}, {\"cell\": \"1,536\", \"bbox\": [201, 353, 220, 363]}, {\"cell\": \"Polygynous\", \"bbox\": [8, 367, 47, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 367, 106, 377]}, {\"cell\": \"446\", \"bbox\": [143, 367, 156, 377]}, {\"cell\": \"484\", \"bbox\": [204, 367, 217, 377]}, {\"cell\": \"Number of children\", \"bbox\": [0, 381, 66, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0–1\", \"bbox\": [8, 395, 22, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 395, 106, 405]}, {\"cell\": \"462\", \"bbox\": [143, 395, 156, 405]}, {\"cell\": \"481\", \"bbox\": [204, 395, 217, 405]}, {\"cell\": \"2\", \"bbox\": [8, 409, 14, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 409, 106, 419]}, {\"cell\": \"442\", \"bbox\": [143, 409, 156, 419]}, {\"cell\": \"472\", \"bbox\": [204, 409, 217, 419]}, {\"cell\": \"3\", \"bbox\": [8, 423, 14, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 423, 106, 433]}, {\"cell\": \"380\", \"bbox\": [143, 423, 156, 433]}, {\"cell\": \"390\", \"bbox\": [204, 423, 217, 433]}, {\"cell\": \"4\", \"bbox\": [8, 437, 14, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 437, 106, 447]}, {\"cell\": \"595\", \"bbox\": [143, 437, 156, 447]}, {\"cell\": \"677\", \"bbox\": [204, 437, 217, 447]}, {\"cell\": \"Duration postpartum\", \"bbox\": [0, 451, 70, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<6 months\", \"bbox\": [8, 465, 46, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 465, 106, 475]}, {\"cell\": \"488\", \"bbox\": [143, 465, 156, 475]}, {\"cell\": \"485\", \"bbox\": [204, 465, 217, 475]}, {\"cell\": \"6–11 months\", \"bbox\": [8, 479, 53, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 479, 106, 489]}, {\"cell\": \"496\", \"bbox\": [143, 479, 156, 489]}, {\"cell\": \"588\", \"bbox\": [204, 479, 217, 489]}, {\"cell\": \"12–17 months\", \"bbox\": [8, 493, 57, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 493, 106, 503]}, {\"cell\": \"446\", \"bbox\": [143, 493, 156, 503]}, {\"cell\": \"436\", \"bbox\": [204, 493, 217, 503]}, {\"cell\": \"18–23 months\", \"bbox\": [8, 507, 57, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 507, 106, 517]}, {\"cell\": \"449\", \"bbox\": [143, 507, 156, 517]}, {\"cell\": \"511\", \"bbox\": [204, 507, 217, 517]}, {\"cell\": \"Total\", \"bbox\": [0, 521, 18, 531]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [89, 521, 109, 531]}, {\"cell\": \"1,879\", \"bbox\": [140, 521, 159, 531]}, {\"cell\": \"2,020\", \"bbox\": [201, 521, 220, 531]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3846684_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}443{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Mal3 (nM)</b></td><td><b>Growth (mean±s.e.m. (<i>n</i>), nm s<sup>−1</sup>)</b></td><td><b>Shrinkage (mean±s.e.m. (<i>n</i>), nm s<sup>−1</sup>)</b></td><td><b>Catastrophe (frequency±CL (<i>n</i>), min<sup>−1</sup>)</b></td><td><b>Rescue (frequency±CL (<i>n</i>), min<sup>−1</sup>)</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>7.44±0.44 (148)</td><td>227.6±14.0 (136)</td><td>0.43±0.36/0.51 (137)</td><td>0.29±0.06/0.85 (3)</td></tr><tr><td>[EMPTY_CELL]</td><td>7.25±0.27 (138)</td><td>240.4±14.3 (126)*</td><td>0.49±0.41/0.58 (129)</td><td>0.00±0.00/3.69 (0)</td></tr><tr><td>[EMPTY_CELL]</td><td>6.03±0.29 (88)</td><td>316.0±26.4 (84)</td><td>0.48±0.38/0.59 (85)</td><td>0.22±0.01/1.22 (1)</td></tr><tr><td>[EMPTY_CELL]</td><td>7.20±0.53 (97)</td><td>213.2±17.5 (88)</td><td>0.48±0.38/0.59 (82)</td><td>0.88±0.32/1.92 (6)</td></tr><tr><td>[EMPTY_CELL]</td><td>9.12±0.38 (116)*</td><td>107.6±7.5 (108)*</td><td>0.56±0.46/0.68 (107)</td><td>4.33±3.44/5.37 (82)†</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2.90±0.27 (71)</td><td>109.3±8.3 (59)</td><td>0.18±0.14/0.23 (57)</td><td>2.26±1.68/2.98 (50)</td></tr><tr><td>[EMPTY_CELL]</td><td>3.17±0.33 (63)</td><td>113.4±9.1 (53)</td><td>0.22±0.17/0.29 (53)</td><td>2.75±1.63/4.34 (18)</td></tr><tr><td>[EMPTY_CELL]</td><td>2.10±0.59 (17)</td><td>115.4±24.3 (14)</td><td>0.15±0.08/0.26 (14)</td><td>3.84±1.24/8.95 (5)</td></tr><tr><td>[EMPTY_CELL]</td><td>2.94±0.78 (39)</td><td>66.2±10.3 (58)*</td><td>0.24±0.17/0.34 (33)</td><td>0.59±0.40/0.84 (30)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.53±0.25 (14)</td><td>60.6±9.5 (5)</td><td>0.03±0.01/0.06 (5)</td><td>5.52±1.79/12.89 (5)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Mal3 (nM)</b>\", \"bbox\": [2, 3, 41, 12]}, {\"cell\": \"<b>Growth (mean±s.e.m. (<i>n</i>), nm s<sup>−1</sup>)</b>\", \"bbox\": [74, 3, 154, 21]}, {\"cell\": \"<b>Shrinkage (mean±s.e.m. (<i>n</i>), nm s<sup>−1</sup>)</b>\", \"bbox\": [177, 3, 265, 21]}, {\"cell\": \"<b>Catastrophe (frequency±CL (<i>n</i>), min<sup>−1</sup>)</b>\", \"bbox\": [289, 3, 389, 21]}, {\"cell\": \"<b>Rescue (frequency±CL (<i>n</i>), min<sup>−1</sup>)</b>\", \"bbox\": [412, 3, 494, 21]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 24, 30, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 33, 16, 42]}, {\"cell\": \"7.44±0.44 (148)\", \"bbox\": [82, 33, 144, 42]}, {\"cell\": \"227.6±14.0 (136)\", \"bbox\": [189, 33, 252, 42]}, {\"cell\": \"0.43±0.36/0.51 (137)\", \"bbox\": [298, 33, 376, 42]}, {\"cell\": \"0.29±0.06/0.85 (3)\", \"bbox\": [414, 33, 488, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 43, 14, 52]}, {\"cell\": \"7.25±0.27 (138)\", \"bbox\": [83, 43, 143, 52]}, {\"cell\": \"240.4±14.3 (126)*\", \"bbox\": [188, 43, 255, 52]}, {\"cell\": \"0.49±0.41/0.58 (129)\", \"bbox\": [298, 43, 377, 52]}, {\"cell\": \"0.00±0.00/3.69 (0)\", \"bbox\": [413, 43, 488, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 52, 19, 61]}, {\"cell\": \"6.03±0.29 (88)\", \"bbox\": [82, 52, 141, 61]}, {\"cell\": \"316.0±26.4 (84)\", \"bbox\": [190, 52, 251, 61]}, {\"cell\": \"0.48±0.38/0.59 (85)\", \"bbox\": [298, 52, 376, 61]}, {\"cell\": \"0.22±0.01/1.22 (1)\", \"bbox\": [414, 52, 482, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 62, 21, 71]}, {\"cell\": \"7.20±0.53 (97)\", \"bbox\": [83, 62, 140, 71]}, {\"cell\": \"213.2±17.5 (88)\", \"bbox\": [191, 62, 249, 71]}, {\"cell\": \"0.48±0.38/0.59 (82)\", \"bbox\": [298, 62, 376, 71]}, {\"cell\": \"0.88±0.32/1.92 (6)\", \"bbox\": [414, 62, 485, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 71, 24, 80]}, {\"cell\": \"9.12±0.38 (116)*\", \"bbox\": [84, 71, 145, 80]}, {\"cell\": \"107.6±7.5 (108)*\", \"bbox\": [190, 71, 252, 80]}, {\"cell\": \"0.56±0.46/0.68 (107)\", \"bbox\": [298, 71, 380, 80]}, {\"cell\": \"4.33±3.44/5.37 (82)†\", \"bbox\": [415, 70, 494, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 90, 36, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 100, 16, 108]}, {\"cell\": \"2.90±0.27 (71)\", \"bbox\": [82, 100, 139, 108]}, {\"cell\": \"109.3±8.3 (59)\", \"bbox\": [190, 100, 246, 108]}, {\"cell\": \"0.18±0.14/0.23 (57)\", \"bbox\": [299, 100, 374, 108]}, {\"cell\": \"2.26±1.68/2.98 (50)\", \"bbox\": [415, 100, 490, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 109, 14, 118]}, {\"cell\": \"3.17±0.33 (63)\", \"bbox\": [85, 109, 140, 118]}, {\"cell\": \"113.4±9.1 (53)\", \"bbox\": [192, 109, 244, 118]}, {\"cell\": \"0.22±0.17/0.29 (53)\", \"bbox\": [298, 109, 374, 118]}, {\"cell\": \"2.75±1.63/4.34 (18)\", \"bbox\": [415, 109, 488, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 118, 19, 127]}, {\"cell\": \"2.10±0.59 (17)\", \"bbox\": [84, 118, 139, 127]}, {\"cell\": \"115.4±24.3 (14)\", \"bbox\": [191, 118, 249, 127]}, {\"cell\": \"0.15±0.08/0.26 (14)\", \"bbox\": [300, 118, 375, 127]}, {\"cell\": \"3.84±1.24/8.95 (5)\", \"bbox\": [414, 118, 485, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 128, 21, 137]}, {\"cell\": \"2.94±0.78 (39)\", \"bbox\": [83, 128, 141, 137]}, {\"cell\": \"66.2±10.3 (58)*\", \"bbox\": [193, 128, 252, 137]}, {\"cell\": \"0.24±0.17/0.34 (33)\", \"bbox\": [298, 128, 374, 137]}, {\"cell\": \"0.59±0.40/0.84 (30)\", \"bbox\": [414, 128, 493, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 137, 24, 146]}, {\"cell\": \"1.53±0.25 (14)\", \"bbox\": [85, 137, 139, 146]}, {\"cell\": \"60.6±9.5 (5)\", \"bbox\": [192, 137, 241, 146]}, {\"cell\": \"0.03±0.01/0.06 (5)\", \"bbox\": [298, 137, 371, 146]}, {\"cell\": \"5.52±1.79/12.89 (5)\", \"bbox\": [415, 137, 487, 146]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3921467_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}444{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Measure</b></td><td><b>Description</b></td><td><b>Range</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Information content of the most informative common ancestor of two terms</td><td>≥ 0</td></tr><tr><td>[EMPTY_CELL]</td><td>Normalized Resnik similarity score by assessing how close two terms are to their most informative common ancestor</td><td>[0, 1)</td></tr><tr><td>[EMPTY_CELL]</td><td>Weighted Lin similarity score by using the probability of annotations of the most informative common ancestor</td><td>[0,1)</td></tr><tr><td>[EMPTY_CELL]</td><td>Based on the difference between two terms and their most informative common ancestor in information content</td><td>(0,1]</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>The average of the similarity scores for all pairs of terms between two groups of protein annotations</td><td>Same with those for the corresponding similarity scores for term pairs</td></tr><tr><td>[EMPTY_CELL]</td><td>The score of the best-matching pairs between two groups of protein annotations</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>The number of terms shared by the annotations for two proteins</td><td>≥ 1</td></tr><tr><td>[EMPTY_CELL]</td><td>Dividing TO by the minimum of the annotation lengths of two proteins</td><td>(0,1]</td></tr><tr><td>[EMPTY_CELL]</td><td>Dividing TO by the average of annotation lengths of two proteins</td><td>(0,1]</td></tr><tr><td>[EMPTY_CELL]</td><td>A chance-corrected measure of co-occurrence between two groups of protein annotations</td><td>[0, 1]</td></tr><tr><td>[EMPTY_CELL]</td><td>Jaccard index weighted by the information content of each GO term</td><td>[0, 1]</td></tr><tr><td>[EMPTY_CELL]</td><td>Cosine similarity weighted by the information content of each GO term</td><td>[0, 1]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Measure</b>\", \"bbox\": [5, 3, 37, 13]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [57, 3, 100, 13]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [331, 3, 355, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 29, 294, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 38, 65]}, {\"cell\": \"Information content of the most informative common ancestor of two terms\", \"bbox\": [57, 55, 312, 65]}, {\"cell\": \"≥ 0\", \"bbox\": [330, 55, 343, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 69, 27, 79]}, {\"cell\": \"Normalized Resnik similarity score by assessing how close two terms are to their most informative common ancestor\", \"bbox\": [57, 69, 323, 89]}, {\"cell\": \"[0, 1)\", \"bbox\": [331, 69, 349, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 93, 25, 103]}, {\"cell\": \"Weighted Lin similarity score by using the probability of annotations of the most informative common ancestor\", \"bbox\": [57, 93, 323, 113]}, {\"cell\": \"[0,1)\", \"bbox\": [331, 93, 347, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 117, 34, 127]}, {\"cell\": \"Based on the difference between two terms and their most informative common ancestor in information content\", \"bbox\": [57, 117, 323, 137]}, {\"cell\": \"(0,1]\", \"bbox\": [331, 117, 347, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [92, 153, 393, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 179, 31, 189]}, {\"cell\": \"The average of the similarity scores for all pairs of terms between two groups of protein annotations\", \"bbox\": [57, 179, 322, 199]}, {\"cell\": \"Same with those for the corresponding similarity scores for term pairs\", \"bbox\": [331, 179, 462, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 203, 33, 213]}, {\"cell\": \"The score of the best-matching pairs between two groups of protein annotations\", \"bbox\": [57, 203, 324, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [88, 229, 397, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 255, 26, 265]}, {\"cell\": \"The number of terms shared by the annotations for two proteins\", \"bbox\": [57, 255, 273, 265]}, {\"cell\": \"≥ 1\", \"bbox\": [330, 255, 343, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 269, 32, 279]}, {\"cell\": \"Dividing TO by the minimum of the annotation lengths of two proteins\", \"bbox\": [57, 269, 295, 279]}, {\"cell\": \"(0,1]\", \"bbox\": [330, 269, 347, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 283, 36, 293]}, {\"cell\": \"Dividing TO by the average of annotation lengths of two proteins\", \"bbox\": [57, 283, 276, 293]}, {\"cell\": \"(0,1]\", \"bbox\": [330, 283, 347, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 297, 42, 307]}, {\"cell\": \"A chance-corrected measure of co-occurrence between two groups of protein annotations\", \"bbox\": [57, 297, 318, 317]}, {\"cell\": \"[0, 1]\", \"bbox\": [331, 297, 349, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 321, 29, 331]}, {\"cell\": \"Jaccard index weighted by the information content of each GO term\", \"bbox\": [57, 321, 285, 331]}, {\"cell\": \"[0, 1]\", \"bbox\": [330, 321, 348, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 335, 36, 345]}, {\"cell\": \"Cosine similarity weighted by the information content of each GO term\", \"bbox\": [57, 335, 295, 345]}, {\"cell\": \"[0, 1]\", \"bbox\": [330, 335, 349, 345]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2903568_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}445{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Method of norovirus detection</b></td><td colspan=\\\"3\\\"><b>IID Cases</b></td><td colspan=\\\"3\\\"><b>Controls</b></td><td><b>Rank-sum test p-valuecomparing cases to controls</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Median Ct value</b></td><td><b>Ct value IQR</b></td><td><b>Sample size</b></td><td><b>Median Ct value</b></td><td><b>Ct value IQR</b></td><td><b>Sample size</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>All ages</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> All</td><td>[EMPTY_CELL]</td><td>25–37</td><td>589</td><td>38</td><td>35–39</td><td>159</td><td><0.0001</td></tr><tr><td> Electron microscopy</td><td>[EMPTY_CELL]</td><td>21–27.5</td><td>92</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> RT-PCR(Electron microscopy negative)</td><td>[EMPTY_CELL]</td><td>29–38</td><td>497</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td>< 5 years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> All</td><td>[EMPTY_CELL]</td><td>26–37</td><td>253</td><td>37</td><td>34–38</td><td>92</td><td><0.0001</td></tr><tr><td> Electron microscopy</td><td>[EMPTY_CELL]</td><td>21–25</td><td>48</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> RT-PCR(Electron microscopy negative)</td><td>[EMPTY_CELL]</td><td>32–37</td><td>205</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.0001</td></tr><tr><td>5 years +</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> All</td><td>[EMPTY_CELL]</td><td>25–38</td><td>334</td><td>38</td><td>36–39</td><td>67</td><td><0.0001</td></tr><tr><td> Electron microscopy</td><td>[EMPTY_CELL]</td><td>22–28.5</td><td>44</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr><tr><td> RT-PCR(Electron microscopy negative)</td><td>[EMPTY_CELL]</td><td>27–38</td><td>290</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.0001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Method of norovirus detection</b>\", \"bbox\": [4, 4, 110, 14]}, {\"cell\": \"<b>IID Cases</b>\", \"bbox\": [181, 4, 215, 14]}, {\"cell\": \"<b>Controls</b>\", \"bbox\": [309, 4, 341, 14]}, {\"cell\": \"<b>Rank-sum test p-valuecomparing cases to controls</b>\", \"bbox\": [401, 4, 497, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Median Ct value</b>\", \"bbox\": [143, 36, 180, 55]}, {\"cell\": \"<b>Ct value IQR</b>\", \"bbox\": [192, 36, 222, 55]}, {\"cell\": \"<b>Sample size</b>\", \"bbox\": [233, 36, 259, 55]}, {\"cell\": \"<b>Median Ct value</b>\", \"bbox\": [271, 36, 308, 55]}, {\"cell\": \"<b>Ct value IQR</b>\", \"bbox\": [319, 36, 349, 55]}, {\"cell\": \"<b>Sample size</b>\", \"bbox\": [361, 36, 386, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All ages\", \"bbox\": [4, 67, 32, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" All\", \"bbox\": [14, 78, 26, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 78, 180, 87]}, {\"cell\": \"25–37\", \"bbox\": [199, 78, 222, 87]}, {\"cell\": \"589\", \"bbox\": [244, 78, 259, 87]}, {\"cell\": \"38\", \"bbox\": [298, 78, 308, 87]}, {\"cell\": \"35–39\", \"bbox\": [327, 78, 349, 87]}, {\"cell\": \"159\", \"bbox\": [372, 78, 386, 87]}, {\"cell\": \"<0.0001\", \"bbox\": [468, 78, 497, 87]}, {\"cell\": \" Electron microscopy\", \"bbox\": [14, 88, 86, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 88, 180, 98]}, {\"cell\": \"21–27.5\", \"bbox\": [193, 88, 222, 98]}, {\"cell\": \"92\", \"bbox\": [248, 88, 259, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0001\", \"bbox\": [468, 88, 497, 98]}, {\"cell\": \" RT-PCR(Electron microscopy negative)\", \"bbox\": [14, 98, 120, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 98, 180, 108]}, {\"cell\": \"29–38\", \"bbox\": [199, 98, 222, 108]}, {\"cell\": \"497\", \"bbox\": [244, 98, 259, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0001\", \"bbox\": [468, 98, 497, 108]}, {\"cell\": \"< 5 years\", \"bbox\": [4, 128, 37, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" All\", \"bbox\": [14, 138, 26, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 138, 180, 148]}, {\"cell\": \"26–37\", \"bbox\": [199, 138, 222, 148]}, {\"cell\": \"253\", \"bbox\": [244, 138, 259, 148]}, {\"cell\": \"37\", \"bbox\": [298, 138, 308, 148]}, {\"cell\": \"34–38\", \"bbox\": [327, 138, 349, 148]}, {\"cell\": \"92\", \"bbox\": [376, 138, 386, 148]}, {\"cell\": \"<0.0001\", \"bbox\": [468, 138, 497, 148]}, {\"cell\": \" Electron microscopy\", \"bbox\": [14, 148, 86, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 148, 180, 158]}, {\"cell\": \"21–25\", \"bbox\": [199, 148, 222, 158]}, {\"cell\": \"48\", \"bbox\": [248, 148, 259, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0001\", \"bbox\": [468, 148, 497, 158]}, {\"cell\": \" RT-PCR(Electron microscopy negative)\", \"bbox\": [14, 159, 120, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 159, 180, 168]}, {\"cell\": \"32–37\", \"bbox\": [199, 159, 222, 168]}, {\"cell\": \"205\", \"bbox\": [244, 159, 259, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.0001\", \"bbox\": [473, 159, 497, 168]}, {\"cell\": \"5 years +\", \"bbox\": [4, 188, 37, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" All\", \"bbox\": [14, 199, 26, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 199, 180, 208]}, {\"cell\": \"25–38\", \"bbox\": [199, 199, 222, 208]}, {\"cell\": \"334\", \"bbox\": [244, 199, 259, 208]}, {\"cell\": \"38\", \"bbox\": [298, 199, 308, 208]}, {\"cell\": \"36–39\", \"bbox\": [327, 199, 349, 208]}, {\"cell\": \"67\", \"bbox\": [376, 199, 386, 208]}, {\"cell\": \"<0.0001\", \"bbox\": [468, 199, 497, 208]}, {\"cell\": \" Electron microscopy\", \"bbox\": [14, 209, 86, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 209, 180, 219]}, {\"cell\": \"22–28.5\", \"bbox\": [193, 209, 222, 219]}, {\"cell\": \"44\", \"bbox\": [248, 209, 259, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0001\", \"bbox\": [468, 209, 497, 219]}, {\"cell\": \" RT-PCR(Electron microscopy negative)\", \"bbox\": [14, 219, 120, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 219, 180, 229]}, {\"cell\": \"27–38\", \"bbox\": [199, 219, 222, 229]}, {\"cell\": \"290\", \"bbox\": [244, 219, 259, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0001\", \"bbox\": [468, 219, 497, 229]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2698835_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}446{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b><i>FGAset</i></b></td><td><b><i>size</i></b></td><td colspan=\\\"2\\\"><b><i>AstESR (285)</i></b></td><td colspan=\\\"2\\\"><b><i>RescueESE (238)</i></b></td><td colspan=\\\"2\\\"><b><i>ChPESE (1701)</i></b></td><td colspan=\\\"2\\\"><b><i>FasESS (176)</i></b></td><td colspan=\\\"2\\\"><b><i>ChPESS (924)</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b><i>Overlap, P-value</i></b></td><td colspan=\\\"2\\\"><b><i>Overlap, P-value</i></b></td><td colspan=\\\"2\\\"><b><i>Overlap, P-value</i></b></td><td colspan=\\\"2\\\"><b><i>Overlap, P-value</i></b></td><td colspan=\\\"2\\\"><b><i>Overlap, P-value</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>313</td><td>34</td><td><b>0.00514</b></td><td>24</td><td>0.09415</td><td>175</td><td><b>2.09e-06</b></td><td>10</td><td>0.877</td><td>73</td><td>0.5407</td></tr><tr><td>[EMPTY_CELL]</td><td>177</td><td>28</td><td><b>0.00003</b></td><td>24</td><td><b>0.00007</b></td><td>130</td><td><b>1.42e-18</b></td><td>1</td><td><b>0.999</b></td><td>8</td><td><b><i>*</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>136</td><td>6</td><td>0.92089</td><td>0</td><td><b><i>*</i></b></td><td>43</td><td>0.9939</td><td>9</td><td>0.129</td><td>59</td><td><b>3.19e-08</b></td></tr><tr><td>[EMPTY_CELL]</td><td>317</td><td>35</td><td><b>0.00347</b></td><td>26</td><td>0.04319</td><td>177</td><td><b>1.96e-06</b></td><td>10</td><td>0.887</td><td>72</td><td>0.6423</td></tr><tr><td>[EMPTY_CELL]</td><td>179</td><td>29</td><td><b>0.00001</b></td><td>25</td><td><b>0.00003</b></td><td>129</td><td><b>2.74e-17</b></td><td>1</td><td><b>0.999</b></td><td>9</td><td><b><i>*</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>138</td><td>6</td><td>0.92714</td><td>1</td><td><b>0.99999</b></td><td>46</td><td>0.9819</td><td>9</td><td>0.137</td><td>57</td><td><b>4.22e-07</b></td></tr><tr><td>[EMPTY_CELL]</td><td>342</td><td>35</td><td>0.01147</td><td>27</td><td>0.05920</td><td>278</td><td><b>1.06e-08</b></td><td>12</td><td>0.812</td><td>70</td><td>0.9300</td></tr><tr><td>[EMPTY_CELL]</td><td>187</td><td>29</td><td><b>0.00003</b></td><td>25</td><td><b>0.00006</b></td><td>134</td><td><b>1.40e-17</b></td><td>3</td><td><b>0.999</b></td><td>9</td><td><b><i>*</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>155</td><td>6</td><td>0.96496</td><td>2</td><td><b>0.99915</b></td><td>59</td><td>0.8352</td><td>9</td><td>0.221</td><td>54</td><td><b>0.000257</b></td></tr><tr><td>[EMPTY_CELL]</td><td>465</td><td>54</td><td><b>0.00006</b></td><td>27</td><td>0.53401</td><td>278</td><td><b>1.06e-08</b></td><td>17</td><td>0.799</td><td>91</td><td><b>0.9993</b></td></tr><tr><td>[EMPTY_CELL]</td><td>263</td><td>38</td><td><b>0.00001</b></td><td>25</td><td><b>0.00899</b></td><td>165</td><td><b>6.61e-13</b></td><td>7</td><td>0.943</td><td>19</td><td><b><i>*</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>202</td><td>16</td><td>0.32994</td><td>2</td><td><b>0.99984</b></td><td>76</td><td>0.8907</td><td>10</td><td>0.368</td><td>64</td><td><b>0.001374</b></td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>10</td><td>0.01195</td><td>32</td><td><b>1.32e-23</b></td><td>60</td><td><b>5.59e-19</b></td><td>1</td><td>0.941</td><td>4</td><td><b>0.9999</b></td></tr><tr><td>[EMPTY_CELL]</td><td>56</td><td>9</td><td>0.01403</td><td>30</td><td><b>2.47e-23</b></td><td>52</td><td><b>4.27e-16</b></td><td>0</td><td><b><i>*</i></b></td><td>4</td><td><b>0.9995</b></td></tr><tr><td>[EMPTY_CELL]</td><td>1052</td><td>126</td><td><b>1.44e-12</b></td><td>112</td><td><b>1.81e-13</b></td><td>613</td><td><b>3.73e-37</b></td><td>26</td><td><b>0.999</b></td><td>183</td><td><b>0.9999</b></td></tr><tr><td>[EMPTY_CELL]</td><td>701</td><td>93</td><td><b>2.28e-11</b></td><td>109</td><td><b>6.16e-28</b></td><td>482</td><td><b>1.02e-57</b></td><td>6</td><td><b>0.999</b></td><td>63</td><td><b><i>*</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>271</td><td>20</td><td>0.42504</td><td>1</td><td><b>0.99999</b></td><td>90</td><td>0.9985</td><td>19</td><td>0.022</td><td>106</td><td><b>1.54e-10</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>FGAset</i></b>\", \"bbox\": [28, 5, 56, 14]}, {\"cell\": \"<b><i>size</i></b>\", \"bbox\": [93, 5, 108, 14]}, {\"cell\": \"<b><i>AstESR (285)</i></b>\", \"bbox\": [131, 5, 180, 14]}, {\"cell\": \"<b><i>RescueESE (238)</i></b>\", \"bbox\": [199, 5, 261, 14]}, {\"cell\": \"<b><i>ChPESE (1701)</i></b>\", \"bbox\": [281, 5, 337, 14]}, {\"cell\": \"<b><i>FasESS (176)</i></b>\", \"bbox\": [365, 5, 413, 14]}, {\"cell\": \"<b><i>ChPESS (924)</i></b>\", \"bbox\": [439, 5, 490, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>Overlap, P-value</i></b>\", \"bbox\": [125, 15, 187, 24]}, {\"cell\": \"<b><i>Overlap, P-value</i></b>\", \"bbox\": [198, 15, 261, 24]}, {\"cell\": \"<b><i>Overlap, P-value</i></b>\", \"bbox\": [278, 15, 340, 24]}, {\"cell\": \"<b><i>Overlap, P-value</i></b>\", \"bbox\": [358, 15, 421, 24]}, {\"cell\": \"<b><i>Overlap, P-value</i></b>\", \"bbox\": [433, 15, 496, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 37, 69, 47]}, {\"cell\": \"313\", \"bbox\": [93, 37, 107, 47]}, {\"cell\": \"34\", \"bbox\": [130, 37, 140, 47]}, {\"cell\": \"<b>0.00514</b>\", \"bbox\": [157, 37, 188, 45]}, {\"cell\": \"24\", \"bbox\": [203, 37, 213, 47]}, {\"cell\": \"0.09415\", \"bbox\": [230, 37, 259, 47]}, {\"cell\": \"175\", \"bbox\": [280, 37, 295, 47]}, {\"cell\": \"<b>2.09e-06</b>\", \"bbox\": [313, 37, 347, 45]}, {\"cell\": \"10\", \"bbox\": [363, 37, 373, 47]}, {\"cell\": \"0.877\", \"bbox\": [396, 37, 416, 47]}, {\"cell\": \"73\", \"bbox\": [438, 37, 448, 47]}, {\"cell\": \"0.5407\", \"bbox\": [468, 37, 493, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 47, 71, 57]}, {\"cell\": \"177\", \"bbox\": [93, 47, 107, 57]}, {\"cell\": \"28\", \"bbox\": [130, 47, 140, 57]}, {\"cell\": \"<b>0.00003</b>\", \"bbox\": [157, 47, 188, 55]}, {\"cell\": \"24\", \"bbox\": [203, 47, 213, 57]}, {\"cell\": \"<b>0.00007</b>\", \"bbox\": [229, 47, 260, 55]}, {\"cell\": \"130\", \"bbox\": [280, 47, 294, 57]}, {\"cell\": \"<b>1.42e-18</b>\", \"bbox\": [313, 47, 347, 55]}, {\"cell\": \"1\", \"bbox\": [365, 47, 371, 57]}, {\"cell\": \"<b>0.999</b>\", \"bbox\": [394, 47, 417, 55]}, {\"cell\": \"8\", \"bbox\": [440, 47, 446, 57]}, {\"cell\": \"<b><i>*</i></b>\", \"bbox\": [477, 47, 483, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 58, 70, 67]}, {\"cell\": \"136\", \"bbox\": [93, 58, 107, 67]}, {\"cell\": \"6\", \"bbox\": [132, 58, 138, 67]}, {\"cell\": \"0.92089\", \"bbox\": [158, 58, 187, 67]}, {\"cell\": \"0\", \"bbox\": [205, 58, 211, 67]}, {\"cell\": \"<b><i>*</i></b>\", \"bbox\": [242, 58, 248, 67]}, {\"cell\": \"43\", \"bbox\": [282, 58, 293, 67]}, {\"cell\": \"0.9939\", \"bbox\": [318, 58, 342, 67]}, {\"cell\": \"9\", \"bbox\": [365, 58, 371, 67]}, {\"cell\": \"0.129\", \"bbox\": [396, 58, 416, 67]}, {\"cell\": \"59\", \"bbox\": [438, 58, 448, 67]}, {\"cell\": \"<b>3.19e-08</b>\", \"bbox\": [463, 58, 498, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 78, 69, 88]}, {\"cell\": \"317\", \"bbox\": [93, 78, 107, 88]}, {\"cell\": \"35\", \"bbox\": [130, 78, 140, 88]}, {\"cell\": \"<b>0.00347</b>\", \"bbox\": [157, 78, 188, 86]}, {\"cell\": \"26\", \"bbox\": [203, 78, 213, 88]}, {\"cell\": \"0.04319\", \"bbox\": [230, 78, 259, 88]}, {\"cell\": \"177\", \"bbox\": [280, 78, 294, 88]}, {\"cell\": \"<b>1.96e-06</b>\", \"bbox\": [313, 78, 347, 86]}, {\"cell\": \"10\", \"bbox\": [363, 78, 373, 88]}, {\"cell\": \"0.887\", \"bbox\": [396, 78, 416, 88]}, {\"cell\": \"72\", \"bbox\": [438, 78, 448, 88]}, {\"cell\": \"0.6423\", \"bbox\": [468, 78, 493, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 88, 71, 98]}, {\"cell\": \"179\", \"bbox\": [93, 88, 107, 98]}, {\"cell\": \"29\", \"bbox\": [130, 88, 140, 98]}, {\"cell\": \"<b>0.00001</b>\", \"bbox\": [157, 88, 188, 96]}, {\"cell\": \"25\", \"bbox\": [203, 88, 213, 98]}, {\"cell\": \"<b>0.00003</b>\", \"bbox\": [229, 88, 260, 96]}, {\"cell\": \"129\", \"bbox\": [280, 88, 294, 98]}, {\"cell\": \"<b>2.74e-17</b>\", \"bbox\": [313, 88, 347, 96]}, {\"cell\": \"1\", \"bbox\": [365, 88, 371, 98]}, {\"cell\": \"<b>0.999</b>\", \"bbox\": [394, 88, 417, 96]}, {\"cell\": \"9\", \"bbox\": [440, 88, 446, 98]}, {\"cell\": \"<b><i>*</i></b>\", \"bbox\": [477, 88, 483, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 99, 70, 108]}, {\"cell\": \"138\", \"bbox\": [93, 99, 107, 108]}, {\"cell\": \"6\", \"bbox\": [132, 99, 138, 108]}, {\"cell\": \"0.92714\", \"bbox\": [158, 99, 187, 108]}, {\"cell\": \"1\", \"bbox\": [205, 99, 211, 108]}, {\"cell\": \"<b>0.99999</b>\", \"bbox\": [229, 99, 260, 106]}, {\"cell\": \"46\", \"bbox\": [282, 99, 293, 108]}, {\"cell\": \"0.9819\", \"bbox\": [318, 99, 342, 108]}, {\"cell\": \"9\", \"bbox\": [365, 99, 371, 108]}, {\"cell\": \"0.137\", \"bbox\": [396, 99, 416, 108]}, {\"cell\": \"57\", \"bbox\": [438, 99, 448, 108]}, {\"cell\": \"<b>4.22e-07</b>\", \"bbox\": [463, 99, 498, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 119, 69, 129]}, {\"cell\": \"342\", \"bbox\": [93, 119, 107, 129]}, {\"cell\": \"35\", \"bbox\": [130, 119, 140, 129]}, {\"cell\": \"0.01147\", \"bbox\": [158, 119, 187, 129]}, {\"cell\": \"27\", \"bbox\": [203, 119, 213, 129]}, {\"cell\": \"0.05920\", \"bbox\": [230, 119, 259, 129]}, {\"cell\": \"278\", \"bbox\": [280, 119, 295, 129]}, {\"cell\": \"<b>1.06e-08</b>\", \"bbox\": [313, 119, 347, 127]}, {\"cell\": \"12\", \"bbox\": [363, 119, 373, 129]}, {\"cell\": \"0.812\", \"bbox\": [396, 119, 416, 129]}, {\"cell\": \"70\", \"bbox\": [438, 119, 448, 129]}, {\"cell\": \"0.9300\", \"bbox\": [468, 119, 493, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 129, 71, 139]}, {\"cell\": \"187\", \"bbox\": [93, 129, 107, 139]}, {\"cell\": \"29\", \"bbox\": [130, 129, 140, 139]}, {\"cell\": \"<b>0.00003</b>\", \"bbox\": [157, 129, 188, 137]}, {\"cell\": \"25\", \"bbox\": [203, 129, 213, 139]}, {\"cell\": \"<b>0.00006</b>\", \"bbox\": [229, 129, 260, 137]}, {\"cell\": \"134\", \"bbox\": [280, 129, 294, 139]}, {\"cell\": \"<b>1.40e-17</b>\", \"bbox\": [313, 129, 347, 137]}, {\"cell\": \"3\", \"bbox\": [365, 129, 371, 139]}, {\"cell\": \"<b>0.999</b>\", \"bbox\": [394, 129, 417, 137]}, {\"cell\": \"9\", \"bbox\": [440, 129, 446, 139]}, {\"cell\": \"<b><i>*</i></b>\", \"bbox\": [477, 129, 483, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 140, 70, 149]}, {\"cell\": \"155\", \"bbox\": [93, 140, 107, 149]}, {\"cell\": \"6\", \"bbox\": [132, 140, 138, 149]}, {\"cell\": \"0.96496\", \"bbox\": [158, 140, 187, 149]}, {\"cell\": \"2\", \"bbox\": [205, 140, 211, 149]}, {\"cell\": \"<b>0.99915</b>\", \"bbox\": [229, 140, 260, 147]}, {\"cell\": \"59\", \"bbox\": [282, 140, 293, 149]}, {\"cell\": \"0.8352\", \"bbox\": [318, 140, 342, 149]}, {\"cell\": \"9\", \"bbox\": [365, 140, 371, 149]}, {\"cell\": \"0.221\", \"bbox\": [396, 140, 416, 149]}, {\"cell\": \"54\", \"bbox\": [438, 140, 448, 149]}, {\"cell\": \"<b>0.000257</b>\", \"bbox\": [462, 140, 498, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 160, 67, 170]}, {\"cell\": \"465\", \"bbox\": [93, 160, 107, 170]}, {\"cell\": \"54\", \"bbox\": [130, 160, 140, 170]}, {\"cell\": \"<b>0.00006</b>\", \"bbox\": [157, 160, 188, 168]}, {\"cell\": \"27\", \"bbox\": [203, 160, 213, 170]}, {\"cell\": \"0.53401\", \"bbox\": [230, 160, 259, 170]}, {\"cell\": \"278\", \"bbox\": [280, 160, 294, 170]}, {\"cell\": \"<b>1.06e-08</b>\", \"bbox\": [313, 160, 347, 168]}, {\"cell\": \"17\", \"bbox\": [363, 160, 373, 170]}, {\"cell\": \"0.799\", \"bbox\": [396, 160, 416, 170]}, {\"cell\": \"91\", \"bbox\": [438, 160, 448, 170]}, {\"cell\": \"<b>0.9993</b>\", \"bbox\": [467, 160, 494, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 170, 69, 180]}, {\"cell\": \"263\", \"bbox\": [93, 170, 107, 180]}, {\"cell\": \"38\", \"bbox\": [130, 170, 140, 180]}, {\"cell\": \"<b>0.00001</b>\", \"bbox\": [157, 170, 188, 178]}, {\"cell\": \"25\", \"bbox\": [203, 170, 213, 180]}, {\"cell\": \"<b>0.00899</b>\", \"bbox\": [229, 170, 260, 178]}, {\"cell\": \"165\", \"bbox\": [280, 170, 294, 180]}, {\"cell\": \"<b>6.61e-13</b>\", \"bbox\": [313, 170, 347, 178]}, {\"cell\": \"7\", \"bbox\": [365, 170, 371, 180]}, {\"cell\": \"0.943\", \"bbox\": [396, 170, 416, 180]}, {\"cell\": \"19\", \"bbox\": [438, 170, 448, 180]}, {\"cell\": \"<b><i>*</i></b>\", \"bbox\": [477, 170, 483, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 181, 68, 190]}, {\"cell\": \"202\", \"bbox\": [93, 181, 107, 190]}, {\"cell\": \"16\", \"bbox\": [130, 181, 140, 190]}, {\"cell\": \"0.32994\", \"bbox\": [158, 181, 187, 190]}, {\"cell\": \"2\", \"bbox\": [205, 181, 211, 190]}, {\"cell\": \"<b>0.99984</b>\", \"bbox\": [229, 181, 260, 188]}, {\"cell\": \"76\", \"bbox\": [282, 181, 293, 190]}, {\"cell\": \"0.8907\", \"bbox\": [318, 181, 342, 190]}, {\"cell\": \"10\", \"bbox\": [363, 181, 373, 190]}, {\"cell\": \"0.368\", \"bbox\": [396, 181, 416, 190]}, {\"cell\": \"64\", \"bbox\": [438, 181, 448, 190]}, {\"cell\": \"<b>0.001374</b>\", \"bbox\": [462, 181, 498, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 201, 72, 211]}, {\"cell\": \"64\", \"bbox\": [95, 201, 105, 211]}, {\"cell\": \"10\", \"bbox\": [130, 201, 140, 211]}, {\"cell\": \"0.01195\", \"bbox\": [158, 201, 187, 211]}, {\"cell\": \"32\", \"bbox\": [203, 201, 213, 211]}, {\"cell\": \"<b>1.32e-23</b>\", \"bbox\": [227, 201, 262, 209]}, {\"cell\": \"60\", \"bbox\": [282, 201, 293, 211]}, {\"cell\": \"<b>5.59e-19</b>\", \"bbox\": [313, 201, 347, 209]}, {\"cell\": \"1\", \"bbox\": [365, 201, 371, 211]}, {\"cell\": \"0.941\", \"bbox\": [396, 201, 416, 211]}, {\"cell\": \"4\", \"bbox\": [440, 201, 446, 211]}, {\"cell\": \"<b>0.9999</b>\", \"bbox\": [467, 201, 494, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 211, 74, 221]}, {\"cell\": \"56\", \"bbox\": [95, 211, 105, 221]}, {\"cell\": \"9\", \"bbox\": [132, 211, 138, 221]}, {\"cell\": \"0.01403\", \"bbox\": [158, 211, 187, 221]}, {\"cell\": \"30\", \"bbox\": [203, 211, 213, 221]}, {\"cell\": \"<b>2.47e-23</b>\", \"bbox\": [227, 211, 262, 219]}, {\"cell\": \"52\", \"bbox\": [282, 211, 293, 221]}, {\"cell\": \"<b>4.27e-16</b>\", \"bbox\": [313, 211, 347, 219]}, {\"cell\": \"0\", \"bbox\": [365, 211, 371, 221]}, {\"cell\": \"<b><i>*</i></b>\", \"bbox\": [403, 211, 409, 221]}, {\"cell\": \"4\", \"bbox\": [440, 211, 446, 221]}, {\"cell\": \"<b>0.9995</b>\", \"bbox\": [467, 211, 494, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 232, 70, 241]}, {\"cell\": \"1052\", \"bbox\": [91, 232, 109, 241]}, {\"cell\": \"126\", \"bbox\": [128, 232, 142, 241]}, {\"cell\": \"<b>1.44e-12</b>\", \"bbox\": [155, 232, 189, 240]}, {\"cell\": \"112\", \"bbox\": [201, 232, 215, 241]}, {\"cell\": \"<b>1.81e-13</b>\", \"bbox\": [227, 232, 262, 240]}, {\"cell\": \"613\", \"bbox\": [280, 232, 294, 241]}, {\"cell\": \"<b>3.73e-37</b>\", \"bbox\": [313, 232, 347, 240]}, {\"cell\": \"26\", \"bbox\": [363, 232, 373, 241]}, {\"cell\": \"<b>0.999</b>\", \"bbox\": [394, 232, 417, 240]}, {\"cell\": \"183\", \"bbox\": [436, 232, 450, 241]}, {\"cell\": \"<b>0.9999</b>\", \"bbox\": [467, 232, 494, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 242, 72, 252]}, {\"cell\": \"701\", \"bbox\": [93, 242, 107, 252]}, {\"cell\": \"93\", \"bbox\": [130, 242, 140, 252]}, {\"cell\": \"<b>2.28e-11</b>\", \"bbox\": [155, 242, 189, 250]}, {\"cell\": \"109\", \"bbox\": [201, 242, 215, 252]}, {\"cell\": \"<b>6.16e-28</b>\", \"bbox\": [227, 242, 262, 250]}, {\"cell\": \"482\", \"bbox\": [280, 242, 294, 252]}, {\"cell\": \"<b>1.02e-57</b>\", \"bbox\": [313, 242, 347, 250]}, {\"cell\": \"6\", \"bbox\": [365, 242, 371, 252]}, {\"cell\": \"<b>0.999</b>\", \"bbox\": [394, 242, 417, 250]}, {\"cell\": \"63\", \"bbox\": [438, 242, 448, 252]}, {\"cell\": \"<b><i>*</i></b>\", \"bbox\": [477, 242, 483, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 252, 71, 262]}, {\"cell\": \"271\", \"bbox\": [93, 252, 107, 262]}, {\"cell\": \"20\", \"bbox\": [130, 252, 140, 262]}, {\"cell\": \"0.42504\", \"bbox\": [158, 252, 187, 262]}, {\"cell\": \"1\", \"bbox\": [205, 252, 211, 262]}, {\"cell\": \"<b>0.99999</b>\", \"bbox\": [229, 252, 260, 260]}, {\"cell\": \"90\", \"bbox\": [282, 252, 293, 262]}, {\"cell\": \"0.9985\", \"bbox\": [318, 252, 342, 262]}, {\"cell\": \"19\", \"bbox\": [363, 252, 373, 262]}, {\"cell\": \"0.022\", \"bbox\": [396, 252, 416, 262]}, {\"cell\": \"106\", \"bbox\": [436, 252, 450, 262]}, {\"cell\": \"<b>1.54e-10</b>\", \"bbox\": [463, 252, 498, 260]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2241647_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}447{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Level</b></td><td><b>Characteristics</b></td><td>[EMPTY_CELL]</td><td><b>OR *</b></td><td><b>CI (95%) **</b></td></tr></thead><tbody><tr><td>Level 3</td><td>HIV/AIDS</td><td>Negative</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Positive</td><td>2.15</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Alcoholism</td><td>No</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Yes</td><td>0.45</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Diabetes</td><td>No</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Yes</td><td>0.54</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Mental illness</td><td>No</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Yes</td><td>0.88</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Other diseases</td><td>No</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Yes</td><td>1.18</td><td>[EMPTY_CELL]</td></tr><tr><td>Level 4</td><td>Admission type</td><td>New cases</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Relapse</td><td>0.65</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Readmission after dropout</td><td>0.39</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Unknown</td><td>0.66</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Transfer</td><td>1.31</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>TST</td><td>Negative</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Positive</td><td>1.08</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>AFB smear</td><td>Negative</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Positive</td><td>0.12</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Culture</td><td>Negative</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Positive</td><td>0.64</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Histopathology</td><td>Negative</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Positive</td><td>3.57</td><td>[EMPTY_CELL]</td></tr><tr><td>Level 5</td><td>DOT</td><td>Not performed</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Performed</td><td>0.69</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Exit condition</td><td>Cure</td><td colspan=\\\"2\\\">Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Dropout</td><td>0.79</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Death by TB</td><td>0.73</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Death by other causes</td><td>1.05</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Transferal</td><td>1.24</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>MDR-TB</td><td>0.43</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Level</b>\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"<b>Characteristics</b>\", \"bbox\": [30, 4, 83, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>OR *</b>\", \"bbox\": [160, 4, 178, 13]}, {\"cell\": \"<b>CI (95%) **</b>\", \"bbox\": [196, 4, 236, 13]}, {\"cell\": \"Level 3\", \"bbox\": [1, 17, 25, 27]}, {\"cell\": \"HIV/AIDS\", \"bbox\": [30, 17, 61, 27]}, {\"cell\": \"Negative\", \"bbox\": [87, 17, 117, 27]}, {\"cell\": \"Reference\", \"bbox\": [160, 17, 193, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [87, 31, 113, 41]}, {\"cell\": \"2.15\", \"bbox\": [160, 31, 175, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 31, 232, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alcoholism\", \"bbox\": [30, 45, 68, 55]}, {\"cell\": \"No\", \"bbox\": [87, 45, 98, 55]}, {\"cell\": \"Reference\", \"bbox\": [160, 45, 193, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [87, 59, 99, 69]}, {\"cell\": \"0.45\", \"bbox\": [160, 59, 175, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 59, 232, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diabetes\", \"bbox\": [30, 73, 60, 83]}, {\"cell\": \"No\", \"bbox\": [87, 73, 98, 83]}, {\"cell\": \"Reference\", \"bbox\": [160, 73, 193, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [87, 87, 99, 97]}, {\"cell\": \"0.54\", \"bbox\": [160, 87, 175, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 87, 232, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mental illness\", \"bbox\": [30, 101, 76, 111]}, {\"cell\": \"No\", \"bbox\": [87, 101, 98, 111]}, {\"cell\": \"Reference\", \"bbox\": [160, 101, 193, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [87, 115, 99, 125]}, {\"cell\": \"0.88\", \"bbox\": [160, 115, 175, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 115, 232, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other diseases\", \"bbox\": [30, 129, 79, 139]}, {\"cell\": \"No\", \"bbox\": [87, 129, 98, 139]}, {\"cell\": \"Reference\", \"bbox\": [160, 129, 193, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [87, 143, 99, 153]}, {\"cell\": \"1.18\", \"bbox\": [160, 143, 175, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 143, 232, 153]}, {\"cell\": \"Level 4\", \"bbox\": [1, 157, 25, 167]}, {\"cell\": \"Admission type\", \"bbox\": [30, 157, 82, 167]}, {\"cell\": \"New cases\", \"bbox\": [87, 157, 122, 167]}, {\"cell\": \"Reference\", \"bbox\": [160, 157, 193, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Relapse\", \"bbox\": [87, 171, 113, 181]}, {\"cell\": \"0.65\", \"bbox\": [160, 171, 175, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 171, 232, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Readmission after dropout\", \"bbox\": [87, 185, 145, 204]}, {\"cell\": \"0.39\", \"bbox\": [160, 185, 175, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 185, 232, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unknown\", \"bbox\": [87, 208, 120, 218]}, {\"cell\": \"0.66\", \"bbox\": [160, 208, 175, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 208, 232, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Transfer\", \"bbox\": [87, 222, 114, 232]}, {\"cell\": \"1.31\", \"bbox\": [160, 222, 175, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 222, 232, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TST\", \"bbox\": [30, 236, 43, 246]}, {\"cell\": \"Negative\", \"bbox\": [87, 236, 117, 246]}, {\"cell\": \"Reference\", \"bbox\": [160, 236, 193, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [87, 250, 113, 260]}, {\"cell\": \"1.08\", \"bbox\": [160, 250, 175, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 250, 232, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AFB smear\", \"bbox\": [30, 264, 66, 274]}, {\"cell\": \"Negative\", \"bbox\": [87, 264, 117, 274]}, {\"cell\": \"Reference\", \"bbox\": [160, 264, 193, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [87, 278, 113, 288]}, {\"cell\": \"0.12\", \"bbox\": [160, 278, 175, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 278, 232, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Culture\", \"bbox\": [30, 292, 56, 302]}, {\"cell\": \"Negative\", \"bbox\": [87, 292, 117, 302]}, {\"cell\": \"Reference\", \"bbox\": [160, 292, 193, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [87, 306, 113, 316]}, {\"cell\": \"0.64\", \"bbox\": [160, 306, 175, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 306, 232, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Histopathology\", \"bbox\": [30, 320, 81, 330]}, {\"cell\": \"Negative\", \"bbox\": [87, 320, 117, 330]}, {\"cell\": \"Reference\", \"bbox\": [160, 320, 193, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [87, 334, 113, 344]}, {\"cell\": \"3.57\", \"bbox\": [160, 334, 175, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 334, 232, 344]}, {\"cell\": \"Level 5\", \"bbox\": [1, 348, 25, 358]}, {\"cell\": \"DOT\", \"bbox\": [30, 348, 47, 358]}, {\"cell\": \"Not performed\", \"bbox\": [87, 348, 136, 358]}, {\"cell\": \"Reference\", \"bbox\": [160, 348, 193, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Performed\", \"bbox\": [87, 362, 122, 372]}, {\"cell\": \"0.69\", \"bbox\": [160, 362, 175, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 362, 232, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Exit condition\", \"bbox\": [30, 376, 77, 386]}, {\"cell\": \"Cure\", \"bbox\": [87, 376, 103, 386]}, {\"cell\": \"Reference\", \"bbox\": [160, 376, 193, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dropout\", \"bbox\": [87, 390, 115, 400]}, {\"cell\": \"0.79\", \"bbox\": [160, 390, 175, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 390, 232, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Death by TB\", \"bbox\": [87, 404, 128, 414]}, {\"cell\": \"0.73\", \"bbox\": [160, 404, 175, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 404, 232, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Death by other causes\", \"bbox\": [87, 418, 137, 437]}, {\"cell\": \"1.05\", \"bbox\": [160, 418, 175, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 418, 232, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Transferal\", \"bbox\": [87, 441, 119, 451]}, {\"cell\": \"1.24\", \"bbox\": [160, 441, 175, 451]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 441, 232, 451]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MDR-TB\", \"bbox\": [87, 455, 114, 465]}, {\"cell\": \"0.43\", \"bbox\": [160, 455, 175, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 455, 232, 465]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3893400_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}448{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Measured variables (minimum–maximum)</b></td><td><b>Boys</b></td><td><b>Girls </b></td><td colspan=\\\"2\\\"><b>Boys versus girls</b></td></tr><tr><td><b>(<i>n</i> = 1547)</b></td><td><b>(<i>n</i> = 1503) </b></td><td colspan=\\\"2\\\"><b>(<i>n</i> = 3050)</b></td></tr><tr><td><b><i>M</i> (SD)</b></td><td><b><i>M</i> (SD) </b></td><td><b><i>t</i></b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td>Knowledge of dating violence total score (0–5)</td><td>3.3 (1.6)</td><td>3.9 (1.3)</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Self-esteem total score (10–40)</td><td>25.9 (4.9)</td><td>24.0 (5.3) </td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Conservative attitudes toward sexual activities total score (3–12)</td><td>9.1 (2.6)</td><td>9.1 (2.4) </td><td>[EMPTY_CELL]</td><td>0.992</td></tr><tr><td>Attitudes toward equal dating relationship total score (3–12)</td><td>10.3 (1.8)</td><td>10.6 (1.7)</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Positive relationship with school teacher total score (3–12)</td><td>8.1 (1.8)</td><td>8.2 (1.8)</td><td>[EMPTY_CELL]</td><td>0.033</td></tr><tr><td>Recognition of dating violence signs total score (0–10)</td><td>7.5 (2.5)</td><td>7.4 (2.3) </td><td>[EMPTY_CELL]</td><td>0.199</td></tr><tr><td>Physical violence (0–4)</td><td>3.4 (0.9)</td><td>3.4 (0.8) </td><td>[EMPTY_CELL]</td><td>0.263</td></tr><tr><td>Psychological violence (0–5)</td><td>3.4 (1.6)</td><td>3.3 (1.5) </td><td>[EMPTY_CELL]</td><td>0.194</td></tr><tr><td>Sexual violence (0–1)</td><td>0.8 (0.4)</td><td>0.8 (0.4)</td><td>[EMPTY_CELL]</td><td>0.524</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Measured variables (minimum–maximum)</b>\", \"bbox\": [0, 5, 150, 15]}, {\"cell\": \"<b>Boys</b>\", \"bbox\": [260, 5, 279, 15]}, {\"cell\": \"<b>Girls </b>\", \"bbox\": [333, 5, 352, 15]}, {\"cell\": \"<b>Boys versus girls</b>\", \"bbox\": [409, 5, 470, 15]}, {\"cell\": \"<b>(<i>n</i> = 1547)</b>\", \"bbox\": [260, 22, 301, 31]}, {\"cell\": \"<b>(<i>n</i> = 1503) </b>\", \"bbox\": [333, 22, 374, 31]}, {\"cell\": \"<b>(<i>n</i> = 3050)</b>\", \"bbox\": [409, 22, 450, 31]}, {\"cell\": \"<b><i>M</i> (SD)</b>\", \"bbox\": [260, 38, 288, 48]}, {\"cell\": \"<b><i>M</i> (SD) </b>\", \"bbox\": [333, 38, 361, 48]}, {\"cell\": \"<b><i>t</i></b>\", \"bbox\": [409, 39, 413, 48]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [466, 38, 494, 48]}, {\"cell\": \"Knowledge of dating violence total score (0–5)\", \"bbox\": [0, 57, 167, 67]}, {\"cell\": \"3.3 (1.6)\", \"bbox\": [264, 57, 296, 67]}, {\"cell\": \"3.9 (1.3)\", \"bbox\": [337, 57, 369, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 57, 432, 67]}, {\"cell\": \"<0.001\", \"bbox\": [465, 57, 493, 67]}, {\"cell\": \"Self-esteem total score (10–40)\", \"bbox\": [0, 70, 111, 79]}, {\"cell\": \"25.9 (4.9)\", \"bbox\": [260, 70, 296, 79]}, {\"cell\": \"24.0 (5.3) \", \"bbox\": [333, 70, 369, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [419, 70, 432, 79]}, {\"cell\": \"<0.001\", \"bbox\": [465, 70, 493, 79]}, {\"cell\": \"Conservative attitudes toward sexual activities total score (3–12)\", \"bbox\": [0, 83, 228, 92]}, {\"cell\": \"9.1 (2.6)\", \"bbox\": [264, 83, 296, 92]}, {\"cell\": \"9.1 (2.4) \", \"bbox\": [337, 83, 369, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [419, 83, 432, 92]}, {\"cell\": \"0.992\", \"bbox\": [472, 83, 493, 92]}, {\"cell\": \"Attitudes toward equal dating relationship total score (3–12)\", \"bbox\": [0, 95, 212, 105]}, {\"cell\": \"10.3 (1.8)\", \"bbox\": [260, 95, 296, 105]}, {\"cell\": \"10.6 (1.7)\", \"bbox\": [333, 95, 369, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 95, 432, 105]}, {\"cell\": \"<0.001\", \"bbox\": [465, 95, 493, 105]}, {\"cell\": \"Positive relationship with school teacher total score (3–12)\", \"bbox\": [1, 108, 207, 118]}, {\"cell\": \"8.1 (1.8)\", \"bbox\": [264, 108, 296, 118]}, {\"cell\": \"8.2 (1.8)\", \"bbox\": [337, 108, 369, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 108, 432, 118]}, {\"cell\": \"0.033\", \"bbox\": [472, 108, 493, 118]}, {\"cell\": \"Recognition of dating violence signs total score (0–10)\", \"bbox\": [1, 121, 194, 130]}, {\"cell\": \"7.5 (2.5)\", \"bbox\": [264, 121, 296, 130]}, {\"cell\": \"7.4 (2.3) \", \"bbox\": [337, 121, 369, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [419, 121, 432, 130]}, {\"cell\": \"0.199\", \"bbox\": [472, 121, 493, 130]}, {\"cell\": \"Physical violence (0–4)\", \"bbox\": [1, 134, 84, 143]}, {\"cell\": \"3.4 (0.9)\", \"bbox\": [264, 134, 296, 143]}, {\"cell\": \"3.4 (0.8) \", \"bbox\": [337, 134, 369, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [419, 134, 432, 143]}, {\"cell\": \"0.263\", \"bbox\": [472, 134, 493, 143]}, {\"cell\": \"Psychological violence (0–5)\", \"bbox\": [1, 146, 103, 156]}, {\"cell\": \"3.4 (1.6)\", \"bbox\": [264, 146, 296, 156]}, {\"cell\": \"3.3 (1.5) \", \"bbox\": [337, 146, 369, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [419, 146, 432, 156]}, {\"cell\": \"0.194\", \"bbox\": [472, 146, 493, 156]}, {\"cell\": \"Sexual violence (0–1)\", \"bbox\": [1, 159, 78, 169]}, {\"cell\": \"0.8 (0.4)\", \"bbox\": [264, 159, 296, 169]}, {\"cell\": \"0.8 (0.4)\", \"bbox\": [337, 159, 369, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 159, 432, 169]}, {\"cell\": \"0.524\", \"bbox\": [472, 159, 493, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4693764_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}449{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Item</b></td><td><b>Leading Industry</b></td><td><b>1999</b></td><td><b>2005</b></td><td><b>Change</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Mining areas</td><td>4597.39</td><td>7307.42</td><td>58.95%</td></tr><tr><td>[EMPTY_CELL]</td><td>3119.239</td><td>5619.44</td><td>80.15%</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Mining areas</td><td>--</td><td>37.33</td><td>--</td></tr><tr><td>[EMPTY_CELL]</td><td>--</td><td>47.88</td><td>--</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Mining areas</td><td>89.20</td><td>97.60</td><td>8.40%</td></tr><tr><td>[EMPTY_CELL]</td><td>92.51</td><td>98.23</td><td>5.72%</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Mining areas</td><td>69.15</td><td>87.10</td><td>17.95%</td></tr><tr><td>[EMPTY_CELL]</td><td>76.98</td><td>91.53</td><td>14.55%</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Mining areas</td><td>0.9355</td><td>0.9346</td><td>0.09%</td></tr><tr><td>[EMPTY_CELL]</td><td>0.9515</td><td>0.9533 </td><td>−0.19%</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Mining areas</td><td>446.78</td><td>--</td><td>--</td></tr><tr><td>[EMPTY_CELL]</td><td>535.43</td><td>--</td><td>--</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Mining areas</td><td>--</td><td>3.48</td><td>--</td></tr><tr><td>[EMPTY_CELL]</td><td>--</td><td>3.25</td><td>--</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Mining areas</td><td>17.78</td><td>--</td><td>--</td></tr><tr><td>[EMPTY_CELL]</td><td>13.53</td><td>--</td><td>--</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Item</b>\", \"bbox\": [63, 7, 85, 18]}, {\"cell\": \"<b>Leading Industry</b>\", \"bbox\": [157, 7, 234, 18]}, {\"cell\": \"<b>1999</b>\", \"bbox\": [268, 6, 292, 18]}, {\"cell\": \"<b>2005</b>\", \"bbox\": [337, 6, 361, 18]}, {\"cell\": \"<b>Change</b>\", \"bbox\": [399, 6, 437, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [39, 29, 108, 41]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 21, 225, 33]}, {\"cell\": \"4597.39\", \"bbox\": [261, 21, 299, 33]}, {\"cell\": \"7307.42\", \"bbox\": [330, 21, 368, 33]}, {\"cell\": \"58.95%\", \"bbox\": [400, 21, 436, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 36, 228, 48]}, {\"cell\": \"3119.239\", \"bbox\": [259, 36, 302, 48]}, {\"cell\": \"5619.44\", \"bbox\": [330, 36, 368, 48]}, {\"cell\": \"80.15%\", \"bbox\": [400, 36, 436, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [33, 59, 114, 71]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 52, 225, 64]}, {\"cell\": \"--\", \"bbox\": [275, 52, 285, 64]}, {\"cell\": \"37.33\", \"bbox\": [336, 52, 362, 64]}, {\"cell\": \"--\", \"bbox\": [413, 52, 423, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 67, 228, 79]}, {\"cell\": \"--\", \"bbox\": [275, 67, 285, 79]}, {\"cell\": \"47.88\", \"bbox\": [336, 67, 362, 79]}, {\"cell\": \"--\", \"bbox\": [413, 67, 423, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 82, 138, 109]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 82, 225, 94]}, {\"cell\": \"89.20\", \"bbox\": [267, 82, 293, 94]}, {\"cell\": \"97.60\", \"bbox\": [336, 82, 362, 94]}, {\"cell\": \"8.40%\", \"bbox\": [403, 82, 433, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 97, 228, 109]}, {\"cell\": \"92.51\", \"bbox\": [267, 97, 294, 109]}, {\"cell\": \"98.23\", \"bbox\": [336, 97, 363, 109]}, {\"cell\": \"5.72%\", \"bbox\": [403, 97, 433, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 113, 138, 140]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 113, 225, 125]}, {\"cell\": \"69.15\", \"bbox\": [267, 113, 293, 125]}, {\"cell\": \"87.10\", \"bbox\": [336, 113, 362, 125]}, {\"cell\": \"17.95%\", \"bbox\": [400, 113, 436, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 128, 228, 140]}, {\"cell\": \"76.98\", \"bbox\": [267, 128, 294, 140]}, {\"cell\": \"91.53\", \"bbox\": [336, 128, 363, 140]}, {\"cell\": \"14.55%\", \"bbox\": [400, 128, 436, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 151, 102, 163]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 143, 225, 155]}, {\"cell\": \"0.9355\", \"bbox\": [264, 143, 296, 155]}, {\"cell\": \"0.9346\", \"bbox\": [333, 143, 365, 155]}, {\"cell\": \"0.09%\", \"bbox\": [403, 143, 433, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 158, 228, 170]}, {\"cell\": \"0.9515\", \"bbox\": [264, 158, 296, 170]}, {\"cell\": \"0.9533 \", \"bbox\": [333, 158, 365, 170]}, {\"cell\": \"−0.19%\", \"bbox\": [400, 155, 436, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 181, 135, 193]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 174, 225, 186]}, {\"cell\": \"446.78\", \"bbox\": [264, 174, 296, 186]}, {\"cell\": \"--\", \"bbox\": [344, 174, 354, 186]}, {\"cell\": \"--\", \"bbox\": [413, 174, 423, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 189, 228, 201]}, {\"cell\": \"535.43\", \"bbox\": [264, 189, 296, 201]}, {\"cell\": \"--\", \"bbox\": [344, 189, 354, 201]}, {\"cell\": \"--\", \"bbox\": [413, 189, 423, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [16, 212, 131, 224]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 204, 225, 216]}, {\"cell\": \"--\", \"bbox\": [275, 204, 285, 216]}, {\"cell\": \"3.48\", \"bbox\": [338, 204, 360, 216]}, {\"cell\": \"--\", \"bbox\": [413, 204, 423, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 219, 228, 231]}, {\"cell\": \"--\", \"bbox\": [275, 219, 285, 231]}, {\"cell\": \"3.25\", \"bbox\": [339, 219, 360, 231]}, {\"cell\": \"--\", \"bbox\": [413, 219, 423, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [38, 242, 110, 254]}, {\"cell\": \"Mining areas\", \"bbox\": [166, 235, 225, 247]}, {\"cell\": \"17.78\", \"bbox\": [267, 235, 293, 247]}, {\"cell\": \"--\", \"bbox\": [344, 235, 354, 247]}, {\"cell\": \"--\", \"bbox\": [413, 235, 423, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 250, 228, 262]}, {\"cell\": \"13.53\", \"bbox\": [267, 250, 293, 262]}, {\"cell\": \"--\", \"bbox\": [344, 250, 354, 262]}, {\"cell\": \"--\", \"bbox\": [413, 250, 423, 262]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4306902_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}450{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Outcomes</b></td></tr><tr><td colspan=\\\"2\\\"><b>(Odds Ratio, 95% Confidence Interval)</b></td></tr><tr><td><b>Any response including watchful waiting</b></td><td><b>Any response excluding watchful waiting</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Intervention</td><td>Year 1</td><td>0.020 (<0.01, 0.18)<sup>a</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Year 2</td><td>0.18 (0.016, 2.12)</td><td>0.72 (0.18, 3.00)</td></tr><tr><td>Control</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Medium LPHA</td><td>Year 1</td><td>0.38 (0.02, 7.33)</td><td>[EMPTY_CELL]</td></tr><tr><td>Year 2</td><td>0.21 (0.01, 5.41)</td><td>0.52 (0.08, 3.44)</td></tr><tr><td>Large LPHA</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Small LPHA</td><td>Year 1</td><td>1.12 (0.01, 12.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Year 2</td><td>2.49 (0.16, 39.1)</td><td>0.47 (0.09, 2.43)</td></tr><tr><td>Large LPHA</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Sustained alert</td><td>Year 1</td><td>1.87 (1.13,3.08)<sup>a</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Year 2</td><td>0.24 (0.16, 0.35)<sup>a</sup></td><td>0.92 (0.61, 1.39)</td></tr><tr><td>New alert</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Views syndromic surveillance as a primary data source</td><td>Year 1</td><td>47.5 (4.2, 536)<sup>a</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Year 2</td><td>3.86 (0.28, 52.9)</td><td>0.60 (0.12, 2.88)</td></tr><tr><td>Secondary</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Outcomes</b>\", \"bbox\": [211, 4, 245, 13]}, {\"cell\": \"<b>(Odds Ratio, 95% Confidence Interval)</b>\", \"bbox\": [211, 13, 334, 22]}, {\"cell\": \"<b>Any response including watchful waiting</b>\", \"bbox\": [211, 26, 344, 36]}, {\"cell\": \"<b>Any response excluding watchful waiting</b>\", \"bbox\": [350, 26, 484, 36]}, {\"cell\": \"Intervention\", \"bbox\": [1, 39, 41, 49]}, {\"cell\": \"Year 1\", \"bbox\": [183, 39, 204, 49]}, {\"cell\": \"0.020 (<0.01, 0.18)<sup>a</sup>\", \"bbox\": [211, 38, 272, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 39, 401, 49]}, {\"cell\": \"Year 2\", \"bbox\": [183, 53, 204, 63]}, {\"cell\": \"0.18 (0.016, 2.12)\", \"bbox\": [211, 53, 265, 63]}, {\"cell\": \"0.72 (0.18, 3.00)\", \"bbox\": [350, 53, 401, 63]}, {\"cell\": \"Control\", \"bbox\": [1, 67, 26, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [211, 67, 244, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 67, 383, 77]}, {\"cell\": \"Medium LPHA\", \"bbox\": [1, 81, 49, 91]}, {\"cell\": \"Year 1\", \"bbox\": [183, 81, 204, 91]}, {\"cell\": \"0.38 (0.02, 7.33)\", \"bbox\": [211, 81, 261, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 81, 401, 91]}, {\"cell\": \"Year 2\", \"bbox\": [183, 95, 204, 105]}, {\"cell\": \"0.21 (0.01, 5.41)\", \"bbox\": [211, 95, 261, 105]}, {\"cell\": \"0.52 (0.08, 3.44)\", \"bbox\": [350, 95, 401, 105]}, {\"cell\": \"Large LPHA\", \"bbox\": [1, 109, 40, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [211, 109, 244, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 109, 383, 119]}, {\"cell\": \"Small LPHA\", \"bbox\": [1, 123, 39, 133]}, {\"cell\": \"Year 1\", \"bbox\": [183, 123, 204, 133]}, {\"cell\": \"1.12 (0.01, 12.7)\", \"bbox\": [211, 123, 261, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 123, 401, 133]}, {\"cell\": \"Year 2\", \"bbox\": [183, 137, 204, 147]}, {\"cell\": \"2.49 (0.16, 39.1)\", \"bbox\": [211, 137, 261, 147]}, {\"cell\": \"0.47 (0.09, 2.43)\", \"bbox\": [350, 137, 401, 147]}, {\"cell\": \"Large LPHA\", \"bbox\": [1, 151, 40, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [211, 151, 244, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 151, 383, 161]}, {\"cell\": \"Sustained alert\", \"bbox\": [1, 165, 49, 175]}, {\"cell\": \"Year 1\", \"bbox\": [183, 165, 204, 175]}, {\"cell\": \"1.87 (1.13,3.08)<sup>a</sup>\", \"bbox\": [211, 164, 261, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 164, 403, 175]}, {\"cell\": \"Year 2\", \"bbox\": [183, 179, 204, 189]}, {\"cell\": \"0.24 (0.16, 0.35)<sup>a</sup>\", \"bbox\": [211, 178, 264, 189]}, {\"cell\": \"0.92 (0.61, 1.39)\", \"bbox\": [350, 179, 401, 189]}, {\"cell\": \"New alert\", \"bbox\": [1, 193, 33, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [211, 193, 244, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 193, 383, 203]}, {\"cell\": \"Views syndromic surveillance as a primary data source\", \"bbox\": [1, 207, 176, 217]}, {\"cell\": \"Year 1\", \"bbox\": [183, 207, 204, 217]}, {\"cell\": \"47.5 (4.2, 536)<sup>a</sup>\", \"bbox\": [211, 206, 259, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 207, 401, 217]}, {\"cell\": \"Year 2\", \"bbox\": [183, 221, 204, 231]}, {\"cell\": \"3.86 (0.28, 52.9)\", \"bbox\": [211, 221, 261, 231]}, {\"cell\": \"0.60 (0.12, 2.88)\", \"bbox\": [350, 221, 401, 231]}, {\"cell\": \"Secondary\", \"bbox\": [1, 235, 36, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [211, 235, 244, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 235, 383, 245]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5311860_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}451{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Time intervals</b></td><td><b>Clinical examinations</b></td></tr></thead><tbody><tr><td>At baseline</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>First and second month follow-up visit</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>On completion of treatment (third month)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Time intervals</b>\", \"bbox\": [1, 8, 49, 18]}, {\"cell\": \"<b>Clinical examinations</b>\", \"bbox\": [129, 8, 200, 18]}, {\"cell\": \"At baseline\", \"bbox\": [1, 28, 39, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 28, 210, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 40, 227, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 64, 233, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 76, 229, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 88, 140, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 100, 168, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 111, 185, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 123, 154, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 135, 148, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 147, 169, 157]}, {\"cell\": \"First and second month follow-up visit\", \"bbox\": [1, 159, 80, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 159, 224, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 183, 230, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 195, 168, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 207, 185, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 219, 148, 228]}, {\"cell\": \"On completion of treatment (third month)\", \"bbox\": [1, 231, 90, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 231, 121, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 255, 224, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 279, 230, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 291, 140, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 303, 168, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 315, 185, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 327, 154, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 339, 148, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 351, 169, 360]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5061863_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}452{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Authors</b></td><td><b>PSS/PTDS Scales</b></td><td><b>IES Total score</b></td><td><b>IES Intrusion</b></td><td><b>IES Avoidance </b></td><td><b>BDI</b></td></tr></thead><tbody><tr><td><b>Foa et al. (1993) [8]</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.81</td><td>.53</td><td>.80</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.81</td><td>.47</td><td>.66</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.71</td><td>.52</td><td>.73</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.70</td><td>.45</td><td>.75</td></tr><tr><td><b>Stieglitz et al. (2001) [9]</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.67 & .65</td><td>.61 & .57</td><td>.61 only at first measurement (a few days after the accident)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.63 & .59</td><td>.53 & .47</td><td>.45</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.56 & .55</td><td>.50 & .51</td><td>.50</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.52 & .49</td><td>.47 & .45</td><td>.60</td></tr><tr><td><b>Foa et al. (1997) [3]</b></td><td>[EMPTY_CELL]</td><td>.78</td><td>.80</td><td>.66</td><td>.79</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.68</td><td>.77</td><td>.51</td><td>.67</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.75</td><td>.72</td><td>.69</td><td>.77</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>.70</td><td>.74</td><td>.58</td><td>.73</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Authors</b>\", \"bbox\": [4, 5, 38, 14]}, {\"cell\": \"<b>PSS/PTDS Scales</b>\", \"bbox\": [129, 5, 197, 14]}, {\"cell\": \"<b>IES Total score</b>\", \"bbox\": [233, 5, 271, 23]}, {\"cell\": \"<b>IES Intrusion</b>\", \"bbox\": [290, 5, 327, 23]}, {\"cell\": \"<b>IES Avoidance </b>\", \"bbox\": [340, 5, 382, 23]}, {\"cell\": \"<b>BDI</b>\", \"bbox\": [436, 5, 453, 14]}, {\"cell\": \"<b>Foa et al. (1993) [8]</b>\", \"bbox\": [4, 36, 83, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 36, 183, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".81\", \"bbox\": [302, 36, 314, 46]}, {\"cell\": \".53\", \"bbox\": [355, 36, 367, 46]}, {\"cell\": \".80\", \"bbox\": [439, 36, 451, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 46, 182, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".81\", \"bbox\": [302, 46, 314, 56]}, {\"cell\": \".47\", \"bbox\": [355, 46, 367, 56]}, {\"cell\": \".66\", \"bbox\": [439, 46, 451, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 56, 165, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".71\", \"bbox\": [302, 56, 314, 66]}, {\"cell\": \".52\", \"bbox\": [355, 56, 367, 66]}, {\"cell\": \".73\", \"bbox\": [439, 56, 451, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 67, 175, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".70\", \"bbox\": [302, 67, 314, 76]}, {\"cell\": \".45\", \"bbox\": [355, 67, 367, 76]}, {\"cell\": \".75\", \"bbox\": [439, 67, 451, 76]}, {\"cell\": \"<b>Stieglitz et al. (2001) [9]</b>\", \"bbox\": [4, 77, 100, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 77, 183, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".67 & .65\", \"bbox\": [292, 77, 324, 87]}, {\"cell\": \".61 & .57\", \"bbox\": [345, 77, 377, 87]}, {\"cell\": \".61 only at first measurement (a few days after the accident)\", \"bbox\": [393, 77, 496, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 96, 182, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".63 & .59\", \"bbox\": [292, 96, 324, 106]}, {\"cell\": \".53 & .47\", \"bbox\": [345, 96, 377, 106]}, {\"cell\": \".45\", \"bbox\": [439, 96, 451, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 107, 165, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".56 & .55\", \"bbox\": [292, 107, 324, 116]}, {\"cell\": \".50 & .51\", \"bbox\": [345, 107, 377, 116]}, {\"cell\": \".50\", \"bbox\": [439, 107, 451, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 117, 175, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".52 & .49\", \"bbox\": [292, 117, 324, 127]}, {\"cell\": \".47 & .45\", \"bbox\": [345, 117, 377, 127]}, {\"cell\": \".60\", \"bbox\": [439, 117, 451, 127]}, {\"cell\": \"<b>Foa et al. (1997) [3]</b>\", \"bbox\": [4, 127, 83, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 127, 169, 137]}, {\"cell\": \".78\", \"bbox\": [246, 127, 258, 137]}, {\"cell\": \".80\", \"bbox\": [302, 127, 314, 137]}, {\"cell\": \".66\", \"bbox\": [355, 127, 367, 137]}, {\"cell\": \".79\", \"bbox\": [438, 127, 450, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 137, 182, 147]}, {\"cell\": \".68\", \"bbox\": [246, 137, 258, 147]}, {\"cell\": \".77\", \"bbox\": [302, 137, 314, 147]}, {\"cell\": \".51\", \"bbox\": [355, 137, 367, 147]}, {\"cell\": \".67\", \"bbox\": [439, 137, 451, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 148, 165, 157]}, {\"cell\": \".75\", \"bbox\": [246, 148, 258, 157]}, {\"cell\": \".72\", \"bbox\": [302, 148, 314, 157]}, {\"cell\": \".69\", \"bbox\": [355, 148, 367, 157]}, {\"cell\": \".77\", \"bbox\": [438, 148, 450, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 158, 175, 168]}, {\"cell\": \".70\", \"bbox\": [246, 158, 258, 168]}, {\"cell\": \".74\", \"bbox\": [302, 158, 314, 168]}, {\"cell\": \".58\", \"bbox\": [355, 158, 367, 168]}, {\"cell\": \".73\", \"bbox\": [439, 158, 451, 168]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC554114_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}453{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Number of markers</b></td><td colspan=\\\"3\\\"><b>Genetic sizes (cM)</b></td><td rowspan=\\\"2\\\"><b>Chromosome size (Mb)<sup>a</sup></b></td></tr><tr><td><b>Female (Z180)</b></td><td><b>Male (Beihong)</b></td><td><b>Integrated map</b></td><td><b>Female (Z180)</b></td><td><b>Male (Beihong)</b></td><td><b>Integrated map</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>63</td><td>30</td><td>85</td><td>118.0</td><td>80.1</td><td>112.2</td><td>23.6</td></tr><tr><td>[EMPTY_CELL]</td><td>46</td><td>31</td><td>68</td><td>101.1</td><td>79.5</td><td>108.9</td><td>18.7</td></tr><tr><td>[EMPTY_CELL]</td><td>55</td><td>40</td><td>78</td><td>80.0</td><td>79.0</td><td>89.0</td><td>20.5</td></tr><tr><td>[EMPTY_CELL]</td><td>71</td><td>35</td><td>94</td><td>94.1</td><td>83.7</td><td>93.7</td><td>23.9</td></tr><tr><td>[EMPTY_CELL]</td><td>71</td><td>32</td><td>93</td><td>133.2</td><td>100.5</td><td>108.8</td><td>25.4</td></tr><tr><td>[EMPTY_CELL]</td><td>62</td><td>38</td><td>88</td><td>90.4</td><td>93.9</td><td>107.6</td><td>21.5</td></tr><tr><td>[EMPTY_CELL]</td><td>87</td><td>58</td><td>133</td><td>113.7</td><td>122.8</td><td>116.5</td><td>22.4</td></tr><tr><td>[EMPTY_CELL]</td><td>79</td><td>53</td><td>117</td><td>103.3</td><td>92.6</td><td>109.5</td><td>22.4</td></tr><tr><td>[EMPTY_CELL]</td><td>51</td><td>30</td><td>70</td><td>85.6</td><td>100.1</td><td>94.4</td><td>23</td></tr><tr><td>[EMPTY_CELL]</td><td>66</td><td>42</td><td>98</td><td>108.9</td><td>112.4</td><td>114.6</td><td>18.8</td></tr><tr><td>[EMPTY_CELL]</td><td>28</td><td>23</td><td>44</td><td>92.2</td><td>76.3</td><td>79.2</td><td>20.0</td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>49</td><td>94</td><td>103.3</td><td>97.5</td><td>108.1</td><td>24.2</td></tr><tr><td>[EMPTY_CELL]</td><td>83</td><td>53</td><td>115</td><td>120.4</td><td>91.1</td><td>118.5</td><td>27.4</td></tr><tr><td>[EMPTY_CELL]</td><td>53</td><td>39</td><td>80</td><td>107.5</td><td>81.5</td><td>92.1</td><td>30.3</td></tr><tr><td>[EMPTY_CELL]</td><td>15</td><td>22</td><td>34</td><td>57.4</td><td>85.5</td><td>65.1</td><td>20.3</td></tr><tr><td>[EMPTY_CELL]</td><td>28</td><td>27</td><td>47</td><td>83.1</td><td>87.2</td><td>87.3</td><td>22.8</td></tr><tr><td>[EMPTY_CELL]</td><td>50</td><td>53</td><td>87</td><td>91.8</td><td>76.9</td><td>88.8</td><td>17.9</td></tr><tr><td>[EMPTY_CELL]</td><td>95</td><td>74</td><td>148</td><td>104.8</td><td>111.8</td><td>108.5</td><td>34.4</td></tr><tr><td>[EMPTY_CELL]</td><td>54</td><td>30</td><td>73</td><td>95.5</td><td>88.3</td><td>114.5</td><td>24.02</td></tr><tr><td>[EMPTY_CELL]</td><td>1121</td><td>759</td><td>1646</td><td>1884.3</td><td>1740.5</td><td>1917.3</td><td>441.6</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of markers</b>\", \"bbox\": [92, 4, 162, 13]}, {\"cell\": \"<b>Genetic sizes (cM)</b>\", \"bbox\": [295, 4, 359, 13]}, {\"cell\": \"<b>Chromosome size (Mb)<sup>a</sup></b>\", \"bbox\": [434, 4, 482, 22]}, {\"cell\": \"<b>Female (Z180)</b>\", \"bbox\": [33, 17, 84, 26]}, {\"cell\": \"<b>Male (Beihong)</b>\", \"bbox\": [97, 17, 151, 26]}, {\"cell\": \"<b>Integrated map</b>\", \"bbox\": [165, 17, 220, 26]}, {\"cell\": \"<b>Female (Z180)</b>\", \"bbox\": [233, 17, 285, 26]}, {\"cell\": \"<b>Male (Beihong)</b>\", \"bbox\": [298, 17, 352, 26]}, {\"cell\": \"<b>Integrated map</b>\", \"bbox\": [365, 17, 421, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 20, 40]}, {\"cell\": \"63\", \"bbox\": [54, 31, 64, 38]}, {\"cell\": \"30\", \"bbox\": [120, 31, 129, 38]}, {\"cell\": \"85\", \"bbox\": [188, 31, 197, 38]}, {\"cell\": \"118.0\", \"bbox\": [250, 31, 268, 38]}, {\"cell\": \"80.1\", \"bbox\": [317, 31, 332, 38]}, {\"cell\": \"112.2\", \"bbox\": [383, 31, 402, 38]}, {\"cell\": \"23.6\", \"bbox\": [452, 31, 466, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 20, 54]}, {\"cell\": \"46\", \"bbox\": [54, 45, 64, 52]}, {\"cell\": \"31\", \"bbox\": [120, 45, 129, 52]}, {\"cell\": \"68\", \"bbox\": [188, 45, 197, 52]}, {\"cell\": \"101.1\", \"bbox\": [250, 45, 268, 52]}, {\"cell\": \"79.5\", \"bbox\": [317, 45, 332, 52]}, {\"cell\": \"108.9\", \"bbox\": [383, 45, 402, 52]}, {\"cell\": \"18.7\", \"bbox\": [452, 45, 466, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 20, 68]}, {\"cell\": \"55\", \"bbox\": [54, 59, 64, 66]}, {\"cell\": \"40\", \"bbox\": [120, 59, 129, 66]}, {\"cell\": \"78\", \"bbox\": [188, 59, 197, 66]}, {\"cell\": \"80.0\", \"bbox\": [252, 59, 266, 66]}, {\"cell\": \"79.0\", \"bbox\": [317, 59, 332, 66]}, {\"cell\": \"89.0\", \"bbox\": [385, 59, 400, 66]}, {\"cell\": \"20.5\", \"bbox\": [452, 59, 466, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 20, 82]}, {\"cell\": \"71\", \"bbox\": [54, 73, 64, 80]}, {\"cell\": \"35\", \"bbox\": [120, 73, 129, 80]}, {\"cell\": \"94\", \"bbox\": [188, 73, 197, 80]}, {\"cell\": \"94.1\", \"bbox\": [252, 73, 266, 80]}, {\"cell\": \"83.7\", \"bbox\": [317, 73, 332, 80]}, {\"cell\": \"93.7\", \"bbox\": [385, 73, 400, 80]}, {\"cell\": \"23.9\", \"bbox\": [452, 73, 466, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 20, 96]}, {\"cell\": \"71\", \"bbox\": [54, 87, 64, 94]}, {\"cell\": \"32\", \"bbox\": [120, 87, 129, 94]}, {\"cell\": \"93\", \"bbox\": [188, 87, 197, 94]}, {\"cell\": \"133.2\", \"bbox\": [250, 87, 268, 94]}, {\"cell\": \"100.5\", \"bbox\": [315, 87, 334, 94]}, {\"cell\": \"108.8\", \"bbox\": [383, 87, 402, 94]}, {\"cell\": \"25.4\", \"bbox\": [452, 87, 466, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 20, 110]}, {\"cell\": \"62\", \"bbox\": [54, 101, 64, 108]}, {\"cell\": \"38\", \"bbox\": [120, 101, 129, 108]}, {\"cell\": \"88\", \"bbox\": [188, 101, 197, 108]}, {\"cell\": \"90.4\", \"bbox\": [252, 101, 266, 108]}, {\"cell\": \"93.9\", \"bbox\": [317, 101, 332, 108]}, {\"cell\": \"107.6\", \"bbox\": [383, 101, 402, 108]}, {\"cell\": \"21.5\", \"bbox\": [452, 101, 466, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 20, 124]}, {\"cell\": \"87\", \"bbox\": [54, 115, 64, 122]}, {\"cell\": \"58\", \"bbox\": [120, 115, 129, 122]}, {\"cell\": \"133\", \"bbox\": [186, 115, 199, 122]}, {\"cell\": \"113.7\", \"bbox\": [250, 115, 268, 122]}, {\"cell\": \"122.8\", \"bbox\": [315, 115, 334, 122]}, {\"cell\": \"116.5\", \"bbox\": [383, 115, 402, 122]}, {\"cell\": \"22.4\", \"bbox\": [452, 115, 466, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 20, 138]}, {\"cell\": \"79\", \"bbox\": [54, 129, 64, 136]}, {\"cell\": \"53\", \"bbox\": [120, 129, 129, 136]}, {\"cell\": \"117\", \"bbox\": [186, 129, 199, 136]}, {\"cell\": \"103.3\", \"bbox\": [250, 129, 268, 136]}, {\"cell\": \"92.6\", \"bbox\": [317, 129, 332, 136]}, {\"cell\": \"109.5\", \"bbox\": [383, 129, 402, 136]}, {\"cell\": \"22.4\", \"bbox\": [452, 129, 466, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 20, 152]}, {\"cell\": \"51\", \"bbox\": [54, 143, 64, 150]}, {\"cell\": \"30\", \"bbox\": [120, 143, 129, 150]}, {\"cell\": \"70\", \"bbox\": [188, 143, 197, 150]}, {\"cell\": \"85.6\", \"bbox\": [252, 143, 266, 150]}, {\"cell\": \"100.1\", \"bbox\": [315, 143, 334, 150]}, {\"cell\": \"94.4\", \"bbox\": [385, 143, 400, 150]}, {\"cell\": \"23\", \"bbox\": [454, 143, 464, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 20, 166]}, {\"cell\": \"66\", \"bbox\": [54, 157, 64, 164]}, {\"cell\": \"42\", \"bbox\": [120, 157, 129, 164]}, {\"cell\": \"98\", \"bbox\": [188, 157, 197, 164]}, {\"cell\": \"108.9\", \"bbox\": [250, 157, 268, 164]}, {\"cell\": \"112.4\", \"bbox\": [315, 157, 334, 164]}, {\"cell\": \"114.6\", \"bbox\": [383, 157, 402, 164]}, {\"cell\": \"18.8\", \"bbox\": [452, 157, 466, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 20, 180]}, {\"cell\": \"28\", \"bbox\": [54, 171, 64, 178]}, {\"cell\": \"23\", \"bbox\": [120, 171, 129, 178]}, {\"cell\": \"44\", \"bbox\": [188, 171, 197, 178]}, {\"cell\": \"92.2\", \"bbox\": [252, 171, 266, 178]}, {\"cell\": \"76.3\", \"bbox\": [317, 171, 332, 178]}, {\"cell\": \"79.2\", \"bbox\": [385, 171, 400, 178]}, {\"cell\": \"20.0\", \"bbox\": [452, 171, 466, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 20, 194]}, {\"cell\": \"64\", \"bbox\": [54, 185, 64, 192]}, {\"cell\": \"49\", \"bbox\": [120, 185, 129, 192]}, {\"cell\": \"94\", \"bbox\": [188, 185, 197, 192]}, {\"cell\": \"103.3\", \"bbox\": [250, 185, 268, 192]}, {\"cell\": \"97.5\", \"bbox\": [317, 185, 332, 192]}, {\"cell\": \"108.1\", \"bbox\": [383, 185, 402, 192]}, {\"cell\": \"24.2\", \"bbox\": [452, 185, 466, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 20, 208]}, {\"cell\": \"83\", \"bbox\": [54, 199, 64, 206]}, {\"cell\": \"53\", \"bbox\": [120, 199, 129, 206]}, {\"cell\": \"115\", \"bbox\": [186, 199, 199, 206]}, {\"cell\": \"120.4\", \"bbox\": [250, 199, 268, 206]}, {\"cell\": \"91.1\", \"bbox\": [317, 199, 332, 206]}, {\"cell\": \"118.5\", \"bbox\": [383, 199, 402, 206]}, {\"cell\": \"27.4\", \"bbox\": [452, 199, 466, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 20, 222]}, {\"cell\": \"53\", \"bbox\": [54, 213, 64, 220]}, {\"cell\": \"39\", \"bbox\": [120, 213, 129, 220]}, {\"cell\": \"80\", \"bbox\": [188, 213, 197, 220]}, {\"cell\": \"107.5\", \"bbox\": [250, 213, 268, 220]}, {\"cell\": \"81.5\", \"bbox\": [317, 213, 332, 220]}, {\"cell\": \"92.1\", \"bbox\": [385, 213, 400, 220]}, {\"cell\": \"30.3\", \"bbox\": [452, 213, 466, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 20, 236]}, {\"cell\": \"15\", \"bbox\": [54, 227, 64, 234]}, {\"cell\": \"22\", \"bbox\": [120, 227, 129, 234]}, {\"cell\": \"34\", \"bbox\": [188, 227, 197, 234]}, {\"cell\": \"57.4\", \"bbox\": [252, 227, 266, 234]}, {\"cell\": \"85.5\", \"bbox\": [317, 227, 332, 234]}, {\"cell\": \"65.1\", \"bbox\": [385, 227, 400, 234]}, {\"cell\": \"20.3\", \"bbox\": [452, 227, 466, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 20, 250]}, {\"cell\": \"28\", \"bbox\": [54, 241, 64, 248]}, {\"cell\": \"27\", \"bbox\": [120, 241, 129, 248]}, {\"cell\": \"47\", \"bbox\": [188, 241, 197, 248]}, {\"cell\": \"83.1\", \"bbox\": [252, 241, 266, 248]}, {\"cell\": \"87.2\", \"bbox\": [317, 241, 332, 248]}, {\"cell\": \"87.3\", \"bbox\": [385, 241, 400, 248]}, {\"cell\": \"22.8\", \"bbox\": [452, 241, 466, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 20, 264]}, {\"cell\": \"50\", \"bbox\": [54, 255, 64, 262]}, {\"cell\": \"53\", \"bbox\": [120, 255, 129, 262]}, {\"cell\": \"87\", \"bbox\": [188, 255, 197, 262]}, {\"cell\": \"91.8\", \"bbox\": [252, 255, 266, 262]}, {\"cell\": \"76.9\", \"bbox\": [317, 255, 332, 262]}, {\"cell\": \"88.8\", \"bbox\": [385, 255, 400, 262]}, {\"cell\": \"17.9\", \"bbox\": [452, 255, 466, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 268, 20, 278]}, {\"cell\": \"95\", \"bbox\": [54, 269, 64, 276]}, {\"cell\": \"74\", \"bbox\": [120, 269, 129, 276]}, {\"cell\": \"148\", \"bbox\": [186, 269, 199, 276]}, {\"cell\": \"104.8\", \"bbox\": [250, 269, 268, 276]}, {\"cell\": \"111.8\", \"bbox\": [315, 269, 334, 276]}, {\"cell\": \"108.5\", \"bbox\": [383, 269, 402, 276]}, {\"cell\": \"34.4\", \"bbox\": [452, 269, 466, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 282, 20, 292]}, {\"cell\": \"54\", \"bbox\": [54, 283, 64, 290]}, {\"cell\": \"30\", \"bbox\": [120, 283, 129, 290]}, {\"cell\": \"73\", \"bbox\": [188, 283, 197, 290]}, {\"cell\": \"95.5\", \"bbox\": [252, 283, 266, 290]}, {\"cell\": \"88.3\", \"bbox\": [317, 283, 332, 290]}, {\"cell\": \"114.5\", \"bbox\": [383, 283, 402, 290]}, {\"cell\": \"24.02\", \"bbox\": [450, 283, 468, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 296, 20, 306]}, {\"cell\": \"1121\", \"bbox\": [50, 297, 67, 304]}, {\"cell\": \"759\", \"bbox\": [118, 297, 131, 304]}, {\"cell\": \"1646\", \"bbox\": [184, 297, 201, 304]}, {\"cell\": \"1884.3\", \"bbox\": [248, 297, 270, 304]}, {\"cell\": \"1740.5\", \"bbox\": [313, 297, 336, 304]}, {\"cell\": \"1917.3\", \"bbox\": [382, 297, 404, 304]}, {\"cell\": \"441.6\", \"bbox\": [450, 297, 468, 304]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3528476_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}454{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Values</b></td><td rowspan=\\\"2\\\"><b>Method</b></td><td colspan=\\\"2\\\"><b>1st versus 2nd measurement</b></td><td colspan=\\\"2\\\"><b>1st versus 3rd measurement</b></td><td colspan=\\\"2\\\"><b>2nd versus 3rd measurement</b></td></tr><tr><td><b><i>t</i></b></td><td><b><i>p</i> value</b></td><td><b><i>t</i></b></td><td><b><i>p</i> value</b></td><td><b><i>t</i></b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td rowspan=\\\"4\\\">MCL (dB HL)</td><td>LS</td><td>[EMPTY_CELL]</td><td>0.153</td><td>−1.510</td><td>0.148</td><td>−0.261</td><td>0.797</td></tr><tr><td>LA</td><td>−0.469</td><td>[EMPTY_CELL]</td><td>1.070</td><td>0.298</td><td>1.889</td><td>0.074</td></tr><tr><td>ES</td><td>−0.553</td><td>[EMPTY_CELL]</td><td>−1.594</td><td>0.127</td><td>−1.730</td><td>0.100</td></tr><tr><td>EA</td><td>−0.469</td><td>[EMPTY_CELL]</td><td>1.070</td><td>0.298</td><td>1.889</td><td>0.074</td></tr><tr><td rowspan=\\\"4\\\">BNL (dB HL)</td><td>LS</td><td>[EMPTY_CELL]</td><td>0.122</td><td>−2.236</td><td>0.038<sup>∗</sup></td><td>−1.917</td><td>0.070</td></tr><tr><td>LA</td><td>−0.592</td><td>[EMPTY_CELL]</td><td>−1.291</td><td>0.212</td><td>−1.301</td><td>0.209</td></tr><tr><td>ES</td><td>−0.785</td><td>[EMPTY_CELL]</td><td>−1.724</td><td>0.101</td><td>−1.875</td><td>0.076</td></tr><tr><td>EA</td><td>−1.453</td><td>[EMPTY_CELL]</td><td>0.000</td><td>1.000</td><td>1.759</td><td>0.095</td></tr><tr><td rowspan=\\\"4\\\">ANL (dB)</td><td>LS</td><td>[EMPTY_CELL]</td><td>0.449</td><td>2.698</td><td>0.014<sup>∗</sup></td><td>1.437</td><td>0.167</td></tr><tr><td>LA</td><td>1.045</td><td>[EMPTY_CELL]</td><td>1.506</td><td>0.148</td><td>0.825</td><td>0.419</td></tr><tr><td>ES</td><td>0.815</td><td>[EMPTY_CELL]</td><td>0.941</td><td>0.358</td><td>0.335</td><td>0.741</td></tr><tr><td>EA</td><td>2.604</td><td>[EMPTY_CELL]</td><td>2.517</td><td>0.021<sup>∗</sup></td><td>−0.252</td><td>0.804</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Values</b>\", \"bbox\": [2, 15, 29, 24]}, {\"cell\": \"<b>Method</b>\", \"bbox\": [92, 15, 122, 24]}, {\"cell\": \"<b>1st versus 2nd measurement</b>\", \"bbox\": [177, 4, 230, 24]}, {\"cell\": \"<b>1st versus 3rd measurement</b>\", \"bbox\": [303, 4, 355, 24]}, {\"cell\": \"<b>2nd versus 3rd measurement</b>\", \"bbox\": [428, 4, 483, 24]}, {\"cell\": \"<b><i>t</i></b>\", \"bbox\": [169, 26, 174, 36]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [221, 25, 248, 36]}, {\"cell\": \"<b><i>t</i></b>\", \"bbox\": [295, 26, 300, 36]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [347, 25, 374, 36]}, {\"cell\": \"<b><i>t</i></b>\", \"bbox\": [421, 26, 426, 36]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [473, 25, 501, 36]}, {\"cell\": \"MCL (dB HL)\", \"bbox\": [2, 58, 56, 68]}, {\"cell\": \"LS\", \"bbox\": [102, 39, 113, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 39, 185, 49]}, {\"cell\": \"0.153\", \"bbox\": [224, 39, 245, 49]}, {\"cell\": \"−1.510\", \"bbox\": [284, 39, 311, 49]}, {\"cell\": \"0.148\", \"bbox\": [350, 39, 371, 49]}, {\"cell\": \"−0.261\", \"bbox\": [411, 39, 437, 49]}, {\"cell\": \"0.797\", \"bbox\": [476, 39, 497, 49]}, {\"cell\": \"LA\", \"bbox\": [101, 52, 113, 62]}, {\"cell\": \"−0.469\", \"bbox\": [158, 52, 185, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 52, 245, 62]}, {\"cell\": \"1.070\", \"bbox\": [287, 52, 308, 62]}, {\"cell\": \"0.298\", \"bbox\": [350, 52, 371, 62]}, {\"cell\": \"1.889\", \"bbox\": [413, 52, 434, 62]}, {\"cell\": \"0.074\", \"bbox\": [476, 52, 497, 62]}, {\"cell\": \"ES\", \"bbox\": [101, 65, 113, 75]}, {\"cell\": \"−0.553\", \"bbox\": [158, 65, 185, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 65, 245, 75]}, {\"cell\": \"−1.594\", \"bbox\": [284, 65, 311, 75]}, {\"cell\": \"0.127\", \"bbox\": [350, 65, 371, 75]}, {\"cell\": \"−1.730\", \"bbox\": [411, 65, 437, 75]}, {\"cell\": \"0.100\", \"bbox\": [476, 65, 497, 75]}, {\"cell\": \"EA\", \"bbox\": [100, 78, 114, 88]}, {\"cell\": \"−0.469\", \"bbox\": [158, 78, 185, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 78, 245, 88]}, {\"cell\": \"1.070\", \"bbox\": [287, 78, 308, 88]}, {\"cell\": \"0.298\", \"bbox\": [350, 78, 371, 88]}, {\"cell\": \"1.889\", \"bbox\": [413, 78, 434, 88]}, {\"cell\": \"0.074\", \"bbox\": [476, 78, 497, 88]}, {\"cell\": \"BNL (dB HL)\", \"bbox\": [3, 112, 54, 122]}, {\"cell\": \"LS\", \"bbox\": [102, 93, 113, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 93, 185, 103]}, {\"cell\": \"0.122\", \"bbox\": [224, 93, 245, 103]}, {\"cell\": \"−2.236\", \"bbox\": [284, 93, 311, 103]}, {\"cell\": \"0.038<sup>∗</sup>\", \"bbox\": [348, 92, 373, 102]}, {\"cell\": \"−1.917\", \"bbox\": [411, 93, 437, 103]}, {\"cell\": \"0.070\", \"bbox\": [476, 93, 497, 103]}, {\"cell\": \"LA\", \"bbox\": [100, 107, 113, 116]}, {\"cell\": \"−0.592\", \"bbox\": [158, 107, 185, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 107, 245, 116]}, {\"cell\": \"−1.291\", \"bbox\": [284, 107, 311, 116]}, {\"cell\": \"0.212\", \"bbox\": [350, 107, 371, 116]}, {\"cell\": \"−1.301\", \"bbox\": [411, 107, 437, 116]}, {\"cell\": \"0.209\", \"bbox\": [476, 107, 497, 116]}, {\"cell\": \"ES\", \"bbox\": [101, 119, 113, 129]}, {\"cell\": \"−0.785\", \"bbox\": [158, 119, 185, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 119, 245, 129]}, {\"cell\": \"−1.724\", \"bbox\": [284, 119, 311, 129]}, {\"cell\": \"0.101\", \"bbox\": [350, 119, 371, 129]}, {\"cell\": \"−1.875\", \"bbox\": [411, 119, 437, 129]}, {\"cell\": \"0.076\", \"bbox\": [476, 119, 497, 129]}, {\"cell\": \"EA\", \"bbox\": [100, 132, 114, 142]}, {\"cell\": \"−1.453\", \"bbox\": [158, 132, 185, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 132, 245, 142]}, {\"cell\": \"0.000\", \"bbox\": [287, 132, 308, 142]}, {\"cell\": \"1.000\", \"bbox\": [350, 132, 371, 142]}, {\"cell\": \"1.759\", \"bbox\": [413, 132, 434, 142]}, {\"cell\": \"0.095\", \"bbox\": [476, 132, 497, 142]}, {\"cell\": \"ANL (dB)\", \"bbox\": [2, 167, 41, 177]}, {\"cell\": \"LS\", \"bbox\": [102, 147, 113, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 147, 182, 157]}, {\"cell\": \"0.449\", \"bbox\": [224, 147, 245, 157]}, {\"cell\": \"2.698\", \"bbox\": [287, 147, 308, 157]}, {\"cell\": \"0.014<sup>∗</sup>\", \"bbox\": [348, 146, 373, 156]}, {\"cell\": \"1.437\", \"bbox\": [413, 147, 434, 157]}, {\"cell\": \"0.167\", \"bbox\": [476, 147, 497, 157]}, {\"cell\": \"LA\", \"bbox\": [101, 161, 113, 171]}, {\"cell\": \"1.045\", \"bbox\": [161, 161, 182, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 161, 245, 171]}, {\"cell\": \"1.506\", \"bbox\": [287, 161, 308, 171]}, {\"cell\": \"0.148\", \"bbox\": [350, 161, 371, 171]}, {\"cell\": \"0.825\", \"bbox\": [413, 161, 434, 171]}, {\"cell\": \"0.419\", \"bbox\": [476, 161, 497, 171]}, {\"cell\": \"ES\", \"bbox\": [101, 174, 113, 184]}, {\"cell\": \"0.815\", \"bbox\": [161, 174, 182, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 174, 245, 184]}, {\"cell\": \"0.941\", \"bbox\": [287, 174, 308, 184]}, {\"cell\": \"0.358\", \"bbox\": [350, 174, 371, 184]}, {\"cell\": \"0.335\", \"bbox\": [413, 174, 434, 184]}, {\"cell\": \"0.741\", \"bbox\": [476, 174, 497, 184]}, {\"cell\": \"EA\", \"bbox\": [100, 188, 114, 198]}, {\"cell\": \"2.604\", \"bbox\": [161, 188, 182, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 187, 247, 197]}, {\"cell\": \"2.517\", \"bbox\": [287, 188, 308, 198]}, {\"cell\": \"0.021<sup>∗</sup>\", \"bbox\": [348, 187, 373, 197]}, {\"cell\": \"−0.252\", \"bbox\": [411, 188, 437, 198]}, {\"cell\": \"0.804\", \"bbox\": [476, 188, 497, 198]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6038590_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}455{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>All patients </b></td><td><b>25-(OH)D < 50 nmol/L </b></td><td><b>25-(OH)D ≥ 50 nmol/L </b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Number of patients</td><td>[EMPTY_CELL]</td><td>1097</td><td>311</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender (male/female)</td><td>[EMPTY_CELL]</td><td>59.6%/40.4% </td><td>65.9%/34.1% </td><td>0.09 </td></tr><tr><td>Age (years)</td><td>[EMPTY_CELL]</td><td>57.5 ± 12.9</td><td>57.0 ± 12.5</td><td>0.63 </td></tr><tr><td>Duration of DM (years)</td><td>[EMPTY_CELL]</td><td>9.4 ± 7.8</td><td>10.1 ± 7.4</td><td>0.29 </td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>[EMPTY_CELL]</td><td>25.38 ± 3.80</td><td>25.27 ± 3.44</td><td>0.72 </td></tr><tr><td>Waist (cm) </td><td>[EMPTY_CELL]</td><td>92.1 ± 11.6</td><td>90.9 ± 13.6</td><td>0.24 </td></tr><tr><td>SBP (mmHg)</td><td>[EMPTY_CELL]</td><td>131.1 ± 17.4</td><td>132.3 ± 15.2</td><td>0.59 </td></tr><tr><td>DBP (mmHg)</td><td>[EMPTY_CELL]</td><td>78.7 ± 11.4</td><td>80.2 ± 10.48</td><td>0.13 </td></tr><tr><td>25-(OH)D (nmol/L) </td><td>[EMPTY_CELL]</td><td>32.41 ± 8.02</td><td>60.22 ± 11.20</td><td>0.00 </td></tr><tr><td>HbA1c (%)</td><td>[EMPTY_CELL]</td><td>9.03 ± 2.10</td><td>8.55 ± 2.05</td><td>0.01 </td></tr><tr><td>Fasting glucose (mmol/L)</td><td>[EMPTY_CELL]</td><td>8.17 ± 2.83</td><td>7.70 ± 2.80</td><td>0.01 </td></tr><tr><td>Fasting insulin (uU/mL) </td><td>[EMPTY_CELL]</td><td>14.98 ± 19.17</td><td>12.90 ± 17.66</td><td>0.27 </td></tr><tr><td>HOMA-B</td><td>[EMPTY_CELL]</td><td>124.68 ± 454.9</td><td>91.91 ± 168.3</td><td>0.41 </td></tr><tr><td>HOMA-IR</td><td>[EMPTY_CELL]</td><td>5.41 ± 7.90</td><td>4.63 ± 5.75</td><td>0.30 </td></tr><tr><td>Postprandial insulin (uU/mL)</td><td>[EMPTY_CELL]</td><td>62.24 ± 112.7</td><td>64.46 ± 152.1</td><td>0.85 </td></tr><tr><td>UA (umol/L)</td><td>[EMPTY_CELL]</td><td>312.2 ± 89.6</td><td>329.8 ± 92.0</td><td>0.02 </td></tr><tr><td>CRE (umol/L)</td><td>[EMPTY_CELL]</td><td>62.09 ± 37.43</td><td>61.34 ± 18.18</td><td>0.79 </td></tr><tr><td>CHO (mmol/L)</td><td>[EMPTY_CELL]</td><td>4.76 ± 1.19</td><td>4.59 ± 1.11</td><td>0.12 </td></tr><tr><td>TG (mmol/L)</td><td>[EMPTY_CELL]</td><td>1.96 ± 1.70</td><td>1.65 ± 1.01</td><td>0.02 </td></tr><tr><td>HDL-C (mmol/L)</td><td>[EMPTY_CELL]</td><td>1.06 ± 0.41</td><td>1.08 ± 0.32</td><td>0.42 </td></tr><tr><td>LDL-C (mmol/L)</td><td>[EMPTY_CELL]</td><td>2.70 ± 0.82</td><td>2.68 ± 0.88</td><td>0.75 </td></tr><tr><td>hsCRP (mg/L) </td><td>[EMPTY_CELL]</td><td>3.1 ± 3.0</td><td>2.5 ± 3.4</td><td>0.09 </td></tr><tr><td>Urine ALB (mg/g) </td><td>[EMPTY_CELL]</td><td>90.1 ± 305.3</td><td>52.8 ± 243.0</td><td>0.04 </td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All patients </b>\", \"bbox\": [148, 4, 191, 15]}, {\"cell\": \"<b>25-(OH)D < 50 nmol/L </b>\", \"bbox\": [232, 1, 318, 16]}, {\"cell\": \"<b>25-(OH)D ≥ 50 nmol/L </b>\", \"bbox\": [351, 1, 437, 16]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [470, 1, 499, 16]}, {\"cell\": \"Number of patients\", \"bbox\": [2, 17, 74, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 17, 179, 27]}, {\"cell\": \"1097\", \"bbox\": [266, 17, 284, 27]}, {\"cell\": \"311\", \"bbox\": [388, 17, 400, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender (male/female)\", \"bbox\": [2, 29, 84, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 29, 193, 40]}, {\"cell\": \"59.6%/40.4% \", \"bbox\": [251, 29, 299, 40]}, {\"cell\": \"65.9%/34.1% \", \"bbox\": [371, 29, 418, 40]}, {\"cell\": \"0.09 \", \"bbox\": [476, 29, 493, 40]}, {\"cell\": \"Age (years)\", \"bbox\": [2, 42, 45, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 38, 192, 54]}, {\"cell\": \"57.5 ± 12.9\", \"bbox\": [254, 38, 296, 54]}, {\"cell\": \"57.0 ± 12.5\", \"bbox\": [374, 38, 415, 54]}, {\"cell\": \"0.63 \", \"bbox\": [476, 42, 493, 52]}, {\"cell\": \"Duration of DM (years)\", \"bbox\": [2, 54, 90, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 51, 186, 66]}, {\"cell\": \"9.4 ± 7.8\", \"bbox\": [259, 51, 291, 66]}, {\"cell\": \"10.1 ± 7.4\", \"bbox\": [376, 51, 413, 66]}, {\"cell\": \"0.29 \", \"bbox\": [476, 54, 493, 65]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [2, 65, 51, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 63, 192, 79]}, {\"cell\": \"25.38 ± 3.80\", \"bbox\": [252, 63, 298, 79]}, {\"cell\": \"25.27 ± 3.44\", \"bbox\": [371, 63, 417, 79]}, {\"cell\": \"0.72 \", \"bbox\": [476, 67, 493, 77]}, {\"cell\": \"Waist (cm) \", \"bbox\": [2, 79, 44, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 76, 190, 91]}, {\"cell\": \"92.1 ± 11.6\", \"bbox\": [254, 76, 296, 91]}, {\"cell\": \"90.9 ± 13.6\", \"bbox\": [374, 76, 415, 91]}, {\"cell\": \"0.24 \", \"bbox\": [476, 79, 493, 90]}, {\"cell\": \"SBP (mmHg)\", \"bbox\": [2, 91, 53, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 88, 192, 104]}, {\"cell\": \"131.1 ± 17.4\", \"bbox\": [252, 88, 298, 104]}, {\"cell\": \"132.3 ± 15.2\", \"bbox\": [371, 88, 417, 104]}, {\"cell\": \"0.59 \", \"bbox\": [476, 91, 493, 102]}, {\"cell\": \"DBP (mmHg)\", \"bbox\": [2, 104, 55, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 101, 190, 116]}, {\"cell\": \"78.7 ± 11.4\", \"bbox\": [254, 101, 296, 116]}, {\"cell\": \"80.2 ± 10.48\", \"bbox\": [371, 101, 417, 116]}, {\"cell\": \"0.13 \", \"bbox\": [477, 104, 492, 115]}, {\"cell\": \"25-(OH)D (nmol/L) \", \"bbox\": [2, 116, 77, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 113, 195, 129]}, {\"cell\": \"32.41 ± 8.02\", \"bbox\": [252, 113, 298, 129]}, {\"cell\": \"60.22 ± 11.20\", \"bbox\": [369, 113, 419, 129]}, {\"cell\": \"0.00 \", \"bbox\": [476, 116, 493, 127]}, {\"cell\": \"HbA1c (%)\", \"bbox\": [2, 129, 44, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 126, 190, 141]}, {\"cell\": \"9.03 ± 2.10\", \"bbox\": [254, 126, 296, 141]}, {\"cell\": \"8.55 ± 2.05\", \"bbox\": [374, 126, 415, 141]}, {\"cell\": \"0.01 \", \"bbox\": [476, 129, 492, 139]}, {\"cell\": \"Fasting glucose (mmol/L)\", \"bbox\": [2, 141, 97, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 138, 190, 153]}, {\"cell\": \"8.17 ± 2.83\", \"bbox\": [254, 138, 296, 153]}, {\"cell\": \"7.70 ± 2.80\", \"bbox\": [374, 138, 415, 153]}, {\"cell\": \"0.01 \", \"bbox\": [476, 141, 492, 152]}, {\"cell\": \"Fasting insulin (uU/mL) \", \"bbox\": [2, 154, 92, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 150, 195, 166]}, {\"cell\": \"14.98 ± 19.17\", \"bbox\": [250, 150, 300, 166]}, {\"cell\": \"12.90 ± 17.66\", \"bbox\": [369, 150, 419, 166]}, {\"cell\": \"0.27 \", \"bbox\": [476, 154, 493, 164]}, {\"cell\": \"HOMA-B\", \"bbox\": [2, 166, 40, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 163, 199, 178]}, {\"cell\": \"124.68 ± 454.9\", \"bbox\": [248, 163, 302, 178]}, {\"cell\": \"91.91 ± 168.3\", \"bbox\": [369, 163, 419, 178]}, {\"cell\": \"0.41 \", \"bbox\": [476, 166, 492, 177]}, {\"cell\": \"HOMA-IR\", \"bbox\": [2, 179, 43, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 175, 190, 191]}, {\"cell\": \"5.41 ± 7.90\", \"bbox\": [254, 175, 296, 191]}, {\"cell\": \"4.63 ± 5.75\", \"bbox\": [374, 175, 415, 191]}, {\"cell\": \"0.30 \", \"bbox\": [476, 179, 493, 189]}, {\"cell\": \"Postprandial insulin (uU/mL)\", \"bbox\": [2, 191, 111, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 188, 197, 203]}, {\"cell\": \"62.24 ± 112.7\", \"bbox\": [250, 188, 300, 203]}, {\"cell\": \"64.46 ± 152.1\", \"bbox\": [369, 188, 419, 203]}, {\"cell\": \"0.85 \", \"bbox\": [476, 191, 493, 202]}, {\"cell\": \"UA (umol/L)\", \"bbox\": [2, 204, 51, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 200, 192, 216]}, {\"cell\": \"312.2 ± 89.6\", \"bbox\": [252, 200, 298, 216]}, {\"cell\": \"329.8 ± 92.0\", \"bbox\": [371, 200, 417, 216]}, {\"cell\": \"0.02 \", \"bbox\": [476, 204, 493, 214]}, {\"cell\": \"CRE (umol/L)\", \"bbox\": [2, 216, 56, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 213, 195, 228]}, {\"cell\": \"62.09 ± 37.43\", \"bbox\": [250, 213, 300, 228]}, {\"cell\": \"61.34 ± 18.18\", \"bbox\": [369, 213, 419, 228]}, {\"cell\": \"0.79 \", \"bbox\": [476, 216, 493, 227]}, {\"cell\": \"CHO (mmol/L)\", \"bbox\": [2, 228, 61, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 225, 190, 241]}, {\"cell\": \"4.76 ± 1.19\", \"bbox\": [254, 225, 296, 241]}, {\"cell\": \"4.59 ± 1.11\", \"bbox\": [374, 225, 415, 241]}, {\"cell\": \"0.12 \", \"bbox\": [477, 228, 492, 239]}, {\"cell\": \"TG (mmol/L)\", \"bbox\": [2, 241, 54, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 238, 190, 253]}, {\"cell\": \"1.96 ± 1.70\", \"bbox\": [254, 238, 296, 253]}, {\"cell\": \"1.65 ± 1.01\", \"bbox\": [374, 238, 415, 253]}, {\"cell\": \"0.02 \", \"bbox\": [476, 241, 493, 252]}, {\"cell\": \"HDL-C (mmol/L)\", \"bbox\": [2, 253, 69, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 250, 190, 266]}, {\"cell\": \"1.06 ± 0.41\", \"bbox\": [254, 250, 296, 266]}, {\"cell\": \"1.08 ± 0.32\", \"bbox\": [374, 250, 415, 266]}, {\"cell\": \"0.42 \", \"bbox\": [476, 253, 493, 264]}, {\"cell\": \"LDL-C (mmol/L)\", \"bbox\": [2, 266, 67, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 263, 190, 278]}, {\"cell\": \"2.70 ± 0.82\", \"bbox\": [254, 263, 296, 278]}, {\"cell\": \"2.68 ± 0.88\", \"bbox\": [374, 263, 415, 278]}, {\"cell\": \"0.75 \", \"bbox\": [476, 266, 493, 276]}, {\"cell\": \"hsCRP (mg/L) \", \"bbox\": [2, 278, 57, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 275, 186, 290]}, {\"cell\": \"3.1 ± 3.0\", \"bbox\": [259, 275, 291, 290]}, {\"cell\": \"2.5 ± 3.4\", \"bbox\": [378, 275, 410, 290]}, {\"cell\": \"0.09 \", \"bbox\": [476, 278, 493, 289]}, {\"cell\": \"Urine ALB (mg/g) \", \"bbox\": [2, 291, 70, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 287, 192, 303]}, {\"cell\": \"90.1 ± 305.3\", \"bbox\": [252, 287, 298, 303]}, {\"cell\": \"52.8 ± 243.0\", \"bbox\": [371, 287, 417, 303]}, {\"cell\": \"0.04 \", \"bbox\": [476, 291, 493, 301]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4017846_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}456{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Paraemeters</b></td><td><b>Total</b></td><td><b>Depressed (GDS ≧ 5)</b></td><td><b>Non-depressed (GDS < 5)</b></td><td rowspan=\\\"2\\\"><b>Compare depressed and non-depressed</b></td></tr><tr><td><b>n = 471</b></td><td><b>n = 256</b></td><td><b>n = 215</b></td></tr><tr><td><b>Basic information</b></td><td><b>Mean ± S.D. or n (%)</b></td><td><b>Mean ± S.D. or n (%)</b></td><td><b>Mean ± S.D. or n (%)</b></td><td><b>p value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>80.35 ± 6.14</td><td>80.79 ± 5.98</td><td>79.82 ± 6.30</td><td>0.089<sup>(a)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>344 (73.0)</td><td>183 (71.5)</td><td>161 (74.9)</td><td>0.408<sup>(c)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.438<sup>(b)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>142 (30.1)</td><td>77 (30.1)</td><td>65 (30.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>144 (30.6)</td><td>82 (32.0)</td><td>62 (28.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>57 (12.1)</td><td>25 (9.8)</td><td>32 (14.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>76 (16.1)</td><td>45 (17.6)</td><td>31 (14.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>52 (11.0)</td><td>27 (10.5)</td><td>25 (11.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.042<sup>(b)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>127 (27.0)</td><td>58 (22.7)</td><td>69 (32.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>199 (42.3)</td><td>122 (47.7)</td><td>77 (35.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>120 (25.5)</td><td>64 (25.0)</td><td>56 (26.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>25 (5.3)</td><td>12 (4.7)</td><td>13 (6)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>13.22 ± 9.38</td><td>13.61 ± 9.18</td><td>12.75 ± 9.62</td><td>0.325<sup>(a)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>3.65 ± 2.97</td><td>3.66 ± 3.00</td><td>3.62 ± 2.96</td><td>0.986<sup>(c)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5.65 ± 3.76</td><td>8.36 ± 2.73</td><td>2.35 ± 1.29</td><td><0.001<sup>(c)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>21.99 ± 5.77</td><td>21.03 ± 5.53</td><td>23.13 ± 5.86</td><td><0.001<sup>(c)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>61.94 ± 31.57</td><td>57.68 ± 31.03</td><td>67.01 ± 31.53</td><td><0.001<sup>(c)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>69 ± 30.13</td><td>65.21 ± 30.15</td><td>73.51 ± 29.55</td><td><0.001<sup>(c)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>8.09 ± 2.59</td><td>8.61 ± 2.58</td><td>7.46 ± 2.46</td><td><0.001<sup>(c)</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>62.32 ± 21.89</td><td>57.58 ± 21.25</td><td>67.96 ± 21.33</td><td><0.001<sup>(c)</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Paraemeters</b>\", \"bbox\": [1, 4, 46, 13]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [114, 4, 133, 13]}, {\"cell\": \"<b>Depressed (GDS ≧ 5)</b>\", \"bbox\": [208, 4, 282, 13]}, {\"cell\": \"<b>Non-depressed (GDS < 5)</b>\", \"bbox\": [303, 4, 391, 13]}, {\"cell\": \"<b>Compare depressed and non-depressed</b>\", \"bbox\": [413, 4, 484, 22]}, {\"cell\": \"<b>n = 471</b>\", \"bbox\": [114, 17, 141, 26]}, {\"cell\": \"<b>n = 256</b>\", \"bbox\": [208, 17, 235, 26]}, {\"cell\": \"<b>n = 215</b>\", \"bbox\": [303, 17, 330, 26]}, {\"cell\": \"<b>Basic information</b>\", \"bbox\": [1, 30, 63, 40]}, {\"cell\": \"<b>Mean ± S.D. or n (%)</b>\", \"bbox\": [114, 30, 186, 40]}, {\"cell\": \"<b>Mean ± S.D. or n (%)</b>\", \"bbox\": [208, 30, 280, 40]}, {\"cell\": \"<b>Mean ± S.D. or n (%)</b>\", \"bbox\": [303, 30, 376, 40]}, {\"cell\": \"<b>p value</b>\", \"bbox\": [413, 30, 441, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 43, 23, 53]}, {\"cell\": \"80.35 ± 6.14\", \"bbox\": [114, 43, 153, 53]}, {\"cell\": \"80.79 ± 5.98\", \"bbox\": [208, 43, 247, 53]}, {\"cell\": \"79.82 ± 6.30\", \"bbox\": [303, 43, 343, 53]}, {\"cell\": \"0.089<sup>(a)</sup>\", \"bbox\": [413, 42, 438, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 57, 56, 67]}, {\"cell\": \"344 (73.0)\", \"bbox\": [114, 57, 147, 67]}, {\"cell\": \"183 (71.5)\", \"bbox\": [208, 57, 241, 67]}, {\"cell\": \"161 (74.9)\", \"bbox\": [303, 57, 336, 67]}, {\"cell\": \"0.408<sup>(c)</sup>\", \"bbox\": [413, 56, 437, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 34, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.438<sup>(b)</sup>\", \"bbox\": [413, 70, 438, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 85, 91, 95]}, {\"cell\": \"142 (30.1)\", \"bbox\": [114, 85, 147, 95]}, {\"cell\": \"77 (30.1)\", \"bbox\": [208, 85, 237, 95]}, {\"cell\": \"65 (30.2)\", \"bbox\": [303, 85, 332, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 99, 69, 109]}, {\"cell\": \"144 (30.6)\", \"bbox\": [114, 99, 147, 109]}, {\"cell\": \"82 (32.0)\", \"bbox\": [208, 99, 237, 109]}, {\"cell\": \"62 (28.8)\", \"bbox\": [303, 99, 332, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 113, 70, 123]}, {\"cell\": \"57 (12.1)\", \"bbox\": [114, 113, 143, 123]}, {\"cell\": \"25 (9.8)\", \"bbox\": [208, 113, 233, 123]}, {\"cell\": \"32 (14.9)\", \"bbox\": [303, 113, 332, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 127, 70, 137]}, {\"cell\": \"76 (16.1)\", \"bbox\": [114, 127, 143, 137]}, {\"cell\": \"45 (17.6)\", \"bbox\": [208, 127, 237, 137]}, {\"cell\": \"31 (14.4)\", \"bbox\": [303, 127, 332, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 141, 57, 151]}, {\"cell\": \"52 (11.0)\", \"bbox\": [114, 141, 143, 151]}, {\"cell\": \"27 (10.5)\", \"bbox\": [208, 141, 237, 151]}, {\"cell\": \"25 (11.6)\", \"bbox\": [303, 141, 332, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 42, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.042<sup>(b)</sup>\", \"bbox\": [413, 154, 438, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 169, 53, 179]}, {\"cell\": \"127 (27.0)\", \"bbox\": [114, 169, 147, 179]}, {\"cell\": \"58 (22.7)\", \"bbox\": [208, 169, 237, 179]}, {\"cell\": \"69 (32.1)\", \"bbox\": [303, 169, 332, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 183, 66, 193]}, {\"cell\": \"199 (42.3)\", \"bbox\": [114, 183, 147, 193]}, {\"cell\": \"122 (47.7)\", \"bbox\": [208, 183, 241, 193]}, {\"cell\": \"77 (35.8)\", \"bbox\": [303, 183, 332, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 197, 86, 207]}, {\"cell\": \"120 (25.5)\", \"bbox\": [114, 197, 147, 207]}, {\"cell\": \"64 (25.0)\", \"bbox\": [208, 197, 237, 207]}, {\"cell\": \"56 (26.0)\", \"bbox\": [303, 197, 332, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 211, 84, 221]}, {\"cell\": \"25 (5.3)\", \"bbox\": [114, 211, 139, 221]}, {\"cell\": \"12 (4.7)\", \"bbox\": [208, 211, 233, 221]}, {\"cell\": \"13 (6)\", \"bbox\": [303, 211, 323, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 65, 235]}, {\"cell\": \"13.22 ± 9.38\", \"bbox\": [114, 225, 153, 235]}, {\"cell\": \"13.61 ± 9.18\", \"bbox\": [208, 225, 247, 235]}, {\"cell\": \"12.75 ± 9.62\", \"bbox\": [303, 225, 343, 235]}, {\"cell\": \"0.325<sup>(a)</sup>\", \"bbox\": [413, 224, 438, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 92, 249]}, {\"cell\": \"3.65 ± 2.97\", \"bbox\": [114, 239, 149, 249]}, {\"cell\": \"3.66 ± 3.00\", \"bbox\": [208, 239, 243, 249]}, {\"cell\": \"3.62 ± 2.96\", \"bbox\": [303, 239, 339, 249]}, {\"cell\": \"0.986<sup>(c)</sup>\", \"bbox\": [413, 238, 437, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 253, 47, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 267, 70, 277]}, {\"cell\": \"5.65 ± 3.76\", \"bbox\": [114, 267, 149, 277]}, {\"cell\": \"8.36 ± 2.73\", \"bbox\": [208, 267, 243, 277]}, {\"cell\": \"2.35 ± 1.29\", \"bbox\": [303, 267, 339, 277]}, {\"cell\": \"<0.001<sup>(c)</sup>\", \"bbox\": [413, 266, 442, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 281, 75, 291]}, {\"cell\": \"21.99 ± 5.77\", \"bbox\": [114, 281, 153, 291]}, {\"cell\": \"21.03 ± 5.53\", \"bbox\": [208, 281, 247, 291]}, {\"cell\": \"23.13 ± 5.86\", \"bbox\": [303, 281, 343, 291]}, {\"cell\": \"<0.001<sup>(c)</sup>\", \"bbox\": [413, 280, 442, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 295, 69, 305]}, {\"cell\": \"61.94 ± 31.57\", \"bbox\": [114, 295, 157, 305]}, {\"cell\": \"57.68 ± 31.03\", \"bbox\": [208, 295, 251, 305]}, {\"cell\": \"67.01 ± 31.53\", \"bbox\": [303, 295, 346, 305]}, {\"cell\": \"<0.001<sup>(c)</sup>\", \"bbox\": [413, 294, 442, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 309, 45, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 323, 68, 333]}, {\"cell\": \"69 ± 30.13\", \"bbox\": [114, 323, 148, 333]}, {\"cell\": \"65.21 ± 30.15\", \"bbox\": [208, 323, 251, 333]}, {\"cell\": \"73.51 ± 29.55\", \"bbox\": [303, 323, 346, 333]}, {\"cell\": \"<0.001<sup>(c)</sup>\", \"bbox\": [413, 322, 442, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 337, 75, 347]}, {\"cell\": \"8.09 ± 2.59\", \"bbox\": [114, 337, 149, 347]}, {\"cell\": \"8.61 ± 2.58\", \"bbox\": [208, 337, 243, 347]}, {\"cell\": \"7.46 ± 2.46\", \"bbox\": [303, 337, 339, 347]}, {\"cell\": \"<0.001<sup>(c)</sup>\", \"bbox\": [413, 336, 442, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 351, 89, 361]}, {\"cell\": \"62.32 ± 21.89\", \"bbox\": [114, 351, 157, 361]}, {\"cell\": \"57.58 ± 21.25\", \"bbox\": [208, 351, 251, 361]}, {\"cell\": \"67.96 ± 21.33\", \"bbox\": [303, 351, 346, 361]}, {\"cell\": \"<0.001<sup>(c)</sup>\", \"bbox\": [413, 350, 442, 361]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4085690_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}457{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Primary antibody</b></td><td><b>Company</b></td><td><b>Dilution</b></td></tr></thead><tbody><tr><td>Mouse monoclonal IgG to Ascl2</td><td>Millipore(MAB4418)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit polyclonal IgG to CD133</td><td>Proteintech(18470-1-AP)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit polyclonal IgG to CD44</td><td>Proteintech(15675-1-AP)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit polyclonal IgG to Bmi1</td><td>Proteintech (10832-1-AP)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit polyclonal IgG to C-myc</td><td>Proteintech(10828-1-AP)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit polyclonal IgG to Oct4</td><td>Proteintech(11263-1-AP)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit polyclonal IgG to KLF5</td><td>Proteintech(21017-1-AP)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit polyclonal IgG to KLF5</td><td>Santa Cruz Biotechnology(sc-22797)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit polyclonal IgG to YAP1</td><td>Proteintech(13584-1-AP)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit monoclonal IgG to YAP1</td><td>Cell Signaling(<sup>#</sup>14074)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit polyclonal IgG to MST1</td><td>Cell Signaling(<sup>#</sup>3682)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit monoclonal IgG to Phospho-YAP(Ser127)</td><td>Cell Signaling(<sup>#</sup>13008)</td><td>[EMPTY_CELL]</td></tr><tr><td>Mouse monoclonal IgG to β-actin</td><td>Proteintech(66009-1-Ig)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rabbit polyclonal IgG to Lamin B1</td><td>Proteintech(12987-1-AP)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Primary antibody</b>\", \"bbox\": [4, 6, 82, 16]}, {\"cell\": \"<b>Company</b>\", \"bbox\": [229, 6, 272, 16]}, {\"cell\": \"<b>Dilution</b>\", \"bbox\": [407, 6, 444, 16]}, {\"cell\": \"Mouse monoclonal IgG to Ascl2\", \"bbox\": [4, 23, 136, 34]}, {\"cell\": \"Millipore(MAB4418)\", \"bbox\": [206, 23, 295, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 23, 449, 34]}, {\"cell\": \"Rabbit polyclonal IgG to CD133\", \"bbox\": [4, 40, 137, 51]}, {\"cell\": \"Proteintech(18470-1-AP)\", \"bbox\": [199, 40, 302, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 40, 449, 51]}, {\"cell\": \"Rabbit polyclonal IgG to CD44\", \"bbox\": [4, 57, 132, 68]}, {\"cell\": \"Proteintech(15675-1-AP)\", \"bbox\": [199, 57, 302, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 57, 449, 68]}, {\"cell\": \"Rabbit polyclonal IgG to Bmi1\", \"bbox\": [4, 74, 130, 85]}, {\"cell\": \"Proteintech (10832-1-AP)\", \"bbox\": [197, 74, 304, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 74, 449, 85]}, {\"cell\": \"Rabbit polyclonal IgG to C-myc\", \"bbox\": [4, 91, 135, 102]}, {\"cell\": \"Proteintech(10828-1-AP)\", \"bbox\": [199, 91, 302, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 91, 449, 102]}, {\"cell\": \"Rabbit polyclonal IgG to Oct4\", \"bbox\": [4, 105, 127, 120]}, {\"cell\": \"Proteintech(11263-1-AP)\", \"bbox\": [199, 108, 302, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 108, 449, 119]}, {\"cell\": \"Rabbit polyclonal IgG to KLF5\", \"bbox\": [4, 125, 132, 136]}, {\"cell\": \"Proteintech(21017-1-AP)\", \"bbox\": [199, 125, 302, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 125, 449, 136]}, {\"cell\": \"Rabbit polyclonal IgG to KLF5\", \"bbox\": [4, 142, 132, 153]}, {\"cell\": \"Santa Cruz Biotechnology(sc-22797)\", \"bbox\": [175, 142, 326, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 142, 444, 165]}, {\"cell\": \"Rabbit polyclonal IgG to YAP1\", \"bbox\": [4, 170, 131, 182]}, {\"cell\": \"Proteintech(13584-1-AP)\", \"bbox\": [199, 170, 302, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 170, 449, 182]}, {\"cell\": \"Rabbit monoclonal IgG to YAP1\", \"bbox\": [4, 187, 136, 199]}, {\"cell\": \"Cell Signaling(<sup>#</sup>14074)\", \"bbox\": [202, 187, 299, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 187, 444, 211]}, {\"cell\": \"Rabbit polyclonal IgG to MST1\", \"bbox\": [4, 216, 133, 227]}, {\"cell\": \"Cell Signaling(<sup>#</sup>3682)\", \"bbox\": [205, 216, 296, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 216, 451, 227]}, {\"cell\": \"Rabbit monoclonal IgG to Phospho-YAP(Ser127)\", \"bbox\": [4, 233, 110, 256]}, {\"cell\": \"Cell Signaling(<sup>#</sup>13008)\", \"bbox\": [202, 233, 299, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 233, 451, 244]}, {\"cell\": \"Mouse monoclonal IgG to β-actin\", \"bbox\": [3, 259, 141, 274]}, {\"cell\": \"Proteintech(66009-1-Ig)\", \"bbox\": [201, 262, 300, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 262, 451, 273]}, {\"cell\": \"Rabbit polyclonal IgG to Lamin B1\", \"bbox\": [4, 279, 148, 290]}, {\"cell\": \"Proteintech(12987-1-AP)\", \"bbox\": [199, 279, 302, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 279, 451, 290]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5752522_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}458{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Group I</b></td><td><b>Group II</b></td><td><b>Group III</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Number of patients (%)</td><td>107 (47.1%)</td><td>83 (36.5%)</td><td>37 (16.3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Median age, years </td><td>50</td><td>47</td><td>48</td><td>[EMPTY_CELL]</td></tr><tr><td>Male/female</td><td>62/45</td><td>54/29</td><td>23/14</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean stone size (range) mm<sup>2</sup></td><td>33.8 (11.5–78.8)</td><td>49.9 (16.9–262.5)</td><td>72.3 (28.8–151.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Stone laterality</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Right</td><td>50</td><td>46</td><td>22</td><td>[EMPTY_CELL]</td></tr><tr><td> Left</td><td>57</td><td>37</td><td>15</td><td>[EMPTY_CELL]</td></tr><tr><td>Stone-free rate (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 1 day postoperatively</td><td>96.9%</td><td>81.9%</td><td>78.3%</td><td>[EMPTY_CELL]</td></tr><tr><td> 3 months postoperatively</td><td>97.2%</td><td>91.5%</td><td>87.9%</td><td>[EMPTY_CELL]</td></tr><tr><td>Auxiliary procedure (%)</td><td>4.6%</td><td>18.1%</td><td>10.8%</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Group I</b>\", \"bbox\": [165, 4, 195, 15]}, {\"cell\": \"<b>Group II</b>\", \"bbox\": [269, 4, 302, 15]}, {\"cell\": \"<b>Group III</b>\", \"bbox\": [375, 4, 412, 15]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [470, 1, 499, 16]}, {\"cell\": \"Number of patients (%)\", \"bbox\": [2, 17, 89, 27]}, {\"cell\": \"107 (47.1%)\", \"bbox\": [159, 17, 200, 27]}, {\"cell\": \"83 (36.5%)\", \"bbox\": [266, 17, 306, 27]}, {\"cell\": \"37 (16.3%)\", \"bbox\": [374, 17, 413, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Median age, years \", \"bbox\": [2, 31, 68, 42]}, {\"cell\": \"50\", \"bbox\": [175, 31, 185, 42]}, {\"cell\": \"47\", \"bbox\": [280, 31, 291, 42]}, {\"cell\": \"48\", \"bbox\": [388, 31, 399, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 31, 495, 42]}, {\"cell\": \"Male/female\", \"bbox\": [2, 46, 49, 56]}, {\"cell\": \"62/45\", \"bbox\": [169, 46, 191, 56]}, {\"cell\": \"54/29\", \"bbox\": [275, 46, 297, 56]}, {\"cell\": \"23/14\", \"bbox\": [383, 46, 404, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 46, 495, 56]}, {\"cell\": \"Mean stone size (range) mm<sup>2</sup>\", \"bbox\": [2, 58, 109, 71]}, {\"cell\": \"33.8 (11.5–78.8)\", \"bbox\": [152, 60, 208, 71]}, {\"cell\": \"49.9 (16.9–262.5)\", \"bbox\": [254, 60, 317, 71]}, {\"cell\": \"72.3 (28.8–151.8)\", \"bbox\": [363, 60, 424, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 56, 496, 71]}, {\"cell\": \"Stone laterality\", \"bbox\": [2, 75, 58, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 75, 495, 85]}, {\"cell\": \" Right\", \"bbox\": [12, 89, 34, 100]}, {\"cell\": \"50\", \"bbox\": [175, 89, 185, 100]}, {\"cell\": \"46\", \"bbox\": [280, 89, 291, 100]}, {\"cell\": \"22\", \"bbox\": [388, 89, 399, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Left\", \"bbox\": [12, 103, 28, 114]}, {\"cell\": \"57\", \"bbox\": [175, 103, 185, 114]}, {\"cell\": \"37\", \"bbox\": [281, 103, 291, 114]}, {\"cell\": \"15\", \"bbox\": [389, 103, 398, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stone-free rate (%)\", \"bbox\": [2, 118, 72, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 1 day postoperatively\", \"bbox\": [12, 132, 89, 143]}, {\"cell\": \"96.9%\", \"bbox\": [168, 132, 192, 143]}, {\"cell\": \"81.9%\", \"bbox\": [274, 132, 297, 143]}, {\"cell\": \"78.3%\", \"bbox\": [382, 132, 405, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 128, 497, 143]}, {\"cell\": \" 3 months postoperatively\", \"bbox\": [12, 147, 105, 157]}, {\"cell\": \"97.2%\", \"bbox\": [169, 147, 191, 157]}, {\"cell\": \"91.5%\", \"bbox\": [275, 147, 297, 157]}, {\"cell\": \"87.9%\", \"bbox\": [382, 147, 405, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 147, 495, 157]}, {\"cell\": \"Auxiliary procedure (%)\", \"bbox\": [2, 161, 92, 172]}, {\"cell\": \"4.6%\", \"bbox\": [170, 161, 190, 172]}, {\"cell\": \"18.1%\", \"bbox\": [275, 161, 296, 172]}, {\"cell\": \"10.8%\", \"bbox\": [382, 161, 405, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 157, 497, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3759258_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}459{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Characteristic</b></td><td><b>Distribution of the cohort</b></td><td colspan=\\\"3\\\"><b>Incidence of first-time self-harm per 100,000 person-years</b></td></tr><tr><td><b>N (%)</b></td><td><b>All</b></td><td><b>Boys</b></td><td><b>Girls</b></td></tr></thead><tbody><tr><td>Total</td><td>165,932 (100)</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td></tr><tr><td colspan=\\\"5\\\">Gender</td></tr><tr><td> Boys</td><td>85,182 (51.3)</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td></tr><tr><td> Girls</td><td>80,750 (48.7)</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td></tr><tr><td colspan=\\\"5\\\">Parental education</td></tr><tr><td> Primary</td><td>15,829 (9.5)</td><td>[EMPTY_CELL]</td><td>159</td><td>796</td></tr><tr><td> Secondary</td><td>69,564 (41.9)</td><td>[EMPTY_CELL]</td><td>154</td><td>773</td></tr><tr><td> Tertiary</td><td>80,539 (48.6)</td><td>[EMPTY_CELL]</td><td>131</td><td>567</td></tr><tr><td colspan=\\\"5\\\">Household income</td></tr><tr><td> 1st quintile (Lowest)</td><td>32,659 (19.7)</td><td>[EMPTY_CELL]</td><td>123</td><td>658</td></tr><tr><td> 2nd quintile</td><td>33,239 (20.0)</td><td>[EMPTY_CELL]</td><td>145</td><td>795</td></tr><tr><td> 3rd quintile</td><td>33,356 (20.1)</td><td>[EMPTY_CELL]</td><td>176</td><td>727</td></tr><tr><td> 4th quintile</td><td>33,344 (20.1)</td><td>[EMPTY_CELL]</td><td>157</td><td>628</td></tr><tr><td> 5th quintile (highest)</td><td>33,334 (20.1)</td><td>[EMPTY_CELL]</td><td>116</td><td>567</td></tr><tr><td colspan=\\\"5\\\">Receipt of welfare</td></tr><tr><td> No</td><td>15,606 (93.8)</td><td>[EMPTY_CELL]</td><td>142</td><td>664</td></tr><tr><td> Yes</td><td>10,326 (6.2)</td><td>[EMPTY_CELL]</td><td>166</td><td>837</td></tr><tr><td colspan=\\\"5\\\">Parental country of birth</td></tr><tr><td> Sweden</td><td>107,470 (64.8)</td><td>[EMPTY_CELL]</td><td>140</td><td>676</td></tr><tr><td> Mixed</td><td>21,790 (13.1)</td><td>[EMPTY_CELL]</td><td>184</td><td>852</td></tr><tr><td> Outside Sweden</td><td>36,672 (22.1)</td><td>[EMPTY_CELL]</td><td>130</td><td>565</td></tr><tr><td colspan=\\\"5\\\">Number of parents in the household</td></tr><tr><td> One</td><td>49,256 (29.7)</td><td>[EMPTY_CELL]</td><td>207</td><td>951</td></tr><tr><td> Two</td><td>116,676 (70.3)</td><td>[EMPTY_CELL]</td><td>117</td><td>559</td></tr><tr><td colspan=\\\"5\\\">History of mental disorder of biological parent</td></tr><tr><td> No</td><td>148,718 (89.6)</td><td>[EMPTY_CELL]</td><td>132</td><td>615</td></tr><tr><td> Yes</td><td>17,214 (10.4)</td><td>[EMPTY_CELL]</td><td>244</td><td>1206</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 3, 50, 12]}, {\"cell\": \"<b>Distribution of the cohort</b>\", \"bbox\": [88, 3, 140, 21]}, {\"cell\": \"<b>Incidence of first-time self-harm per 100,000 person-years</b>\", \"bbox\": [160, 3, 237, 30]}, {\"cell\": \"<b>N (%)</b>\", \"bbox\": [88, 36, 108, 46]}, {\"cell\": \"<b>All</b>\", \"bbox\": [160, 36, 171, 46]}, {\"cell\": \"<b>Boys</b>\", \"bbox\": [186, 36, 204, 46]}, {\"cell\": \"<b>Girls</b>\", \"bbox\": [219, 36, 236, 46]}, {\"cell\": \"Total\", \"bbox\": [1, 54, 18, 64]}, {\"cell\": \"165,932 (100)\", \"bbox\": [88, 54, 132, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 54, 173, 64]}, {\"cell\": \"–\", \"bbox\": [186, 54, 192, 64]}, {\"cell\": \"–\", \"bbox\": [219, 54, 225, 64]}, {\"cell\": \"Gender\", \"bbox\": [1, 66, 26, 76]}, {\"cell\": \" Boys\", \"bbox\": [5, 79, 22, 88]}, {\"cell\": \"85,182 (51.3)\", \"bbox\": [91, 79, 133, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 79, 173, 88]}, {\"cell\": \"–\", \"bbox\": [186, 79, 192, 88]}, {\"cell\": \"–\", \"bbox\": [219, 79, 225, 88]}, {\"cell\": \" Girls\", \"bbox\": [5, 91, 21, 100]}, {\"cell\": \"80,750 (48.7)\", \"bbox\": [91, 91, 133, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 91, 173, 100]}, {\"cell\": \"–\", \"bbox\": [186, 91, 192, 100]}, {\"cell\": \"–\", \"bbox\": [219, 91, 225, 100]}, {\"cell\": \"Parental education\", \"bbox\": [1, 103, 62, 112]}, {\"cell\": \" Primary\", \"bbox\": [5, 115, 31, 124]}, {\"cell\": \"15,829 (9.5)\", \"bbox\": [91, 115, 130, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 115, 173, 124]}, {\"cell\": \"159\", \"bbox\": [186, 115, 199, 124]}, {\"cell\": \"796\", \"bbox\": [219, 115, 232, 124]}, {\"cell\": \" Secondary\", \"bbox\": [5, 127, 41, 136]}, {\"cell\": \"69,564 (41.9)\", \"bbox\": [91, 127, 133, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 127, 173, 136]}, {\"cell\": \"154\", \"bbox\": [186, 127, 199, 136]}, {\"cell\": \"773\", \"bbox\": [219, 127, 232, 136]}, {\"cell\": \" Tertiary\", \"bbox\": [5, 139, 30, 149]}, {\"cell\": \"80,539 (48.6)\", \"bbox\": [91, 139, 133, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 139, 173, 149]}, {\"cell\": \"131\", \"bbox\": [186, 139, 199, 149]}, {\"cell\": \"567\", \"bbox\": [219, 139, 232, 149]}, {\"cell\": \"Household income\", \"bbox\": [1, 151, 63, 161]}, {\"cell\": \" 1st quintile (Lowest)\", \"bbox\": [5, 163, 71, 173]}, {\"cell\": \"32,659 (19.7)\", \"bbox\": [91, 163, 133, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 163, 173, 173]}, {\"cell\": \"123\", \"bbox\": [186, 163, 199, 173]}, {\"cell\": \"658\", \"bbox\": [219, 163, 232, 173]}, {\"cell\": \" 2nd quintile\", \"bbox\": [5, 175, 46, 185]}, {\"cell\": \"33,239 (20.0)\", \"bbox\": [91, 175, 133, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 175, 173, 185]}, {\"cell\": \"145\", \"bbox\": [186, 175, 199, 185]}, {\"cell\": \"795\", \"bbox\": [219, 175, 232, 185]}, {\"cell\": \" 3rd quintile\", \"bbox\": [5, 187, 44, 197]}, {\"cell\": \"33,356 (20.1)\", \"bbox\": [91, 187, 133, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 187, 173, 197]}, {\"cell\": \"176\", \"bbox\": [186, 187, 199, 197]}, {\"cell\": \"727\", \"bbox\": [219, 187, 232, 197]}, {\"cell\": \" 4th quintile\", \"bbox\": [5, 200, 44, 209]}, {\"cell\": \"33,344 (20.1)\", \"bbox\": [91, 200, 133, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 200, 173, 209]}, {\"cell\": \"157\", \"bbox\": [186, 200, 199, 209]}, {\"cell\": \"628\", \"bbox\": [219, 200, 232, 209]}, {\"cell\": \" 5th quintile (highest)\", \"bbox\": [5, 212, 74, 221]}, {\"cell\": \"33,334 (20.1)\", \"bbox\": [91, 212, 133, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 212, 173, 221]}, {\"cell\": \"116\", \"bbox\": [186, 212, 199, 221]}, {\"cell\": \"567\", \"bbox\": [219, 212, 232, 221]}, {\"cell\": \"Receipt of welfare\", \"bbox\": [1, 224, 59, 233]}, {\"cell\": \" No\", \"bbox\": [5, 236, 17, 245]}, {\"cell\": \"15,606 (93.8)\", \"bbox\": [91, 236, 133, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 236, 173, 245]}, {\"cell\": \"142\", \"bbox\": [186, 236, 199, 245]}, {\"cell\": \"664\", \"bbox\": [219, 236, 232, 245]}, {\"cell\": \" Yes\", \"bbox\": [5, 248, 17, 257]}, {\"cell\": \"10,326 (6.2)\", \"bbox\": [91, 248, 130, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 248, 173, 257]}, {\"cell\": \"166\", \"bbox\": [186, 248, 199, 257]}, {\"cell\": \"837\", \"bbox\": [219, 248, 232, 257]}, {\"cell\": \"Parental country of birth\", \"bbox\": [1, 260, 80, 270]}, {\"cell\": \" Sweden\", \"bbox\": [5, 272, 33, 282]}, {\"cell\": \"107,470 (64.8)\", \"bbox\": [88, 272, 133, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 272, 173, 282]}, {\"cell\": \"140\", \"bbox\": [186, 272, 199, 282]}, {\"cell\": \"676\", \"bbox\": [219, 272, 232, 282]}, {\"cell\": \" Mixed\", \"bbox\": [5, 284, 27, 294]}, {\"cell\": \"21,790 (13.1)\", \"bbox\": [91, 284, 133, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 284, 173, 294]}, {\"cell\": \"184\", \"bbox\": [186, 284, 199, 294]}, {\"cell\": \"852\", \"bbox\": [219, 284, 232, 294]}, {\"cell\": \" Outside Sweden\", \"bbox\": [5, 296, 60, 306]}, {\"cell\": \"36,672 (22.1)\", \"bbox\": [91, 296, 133, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 296, 173, 306]}, {\"cell\": \"130\", \"bbox\": [186, 296, 199, 306]}, {\"cell\": \"565\", \"bbox\": [219, 296, 232, 306]}, {\"cell\": \"Number of parents in the household\", \"bbox\": [1, 308, 119, 318]}, {\"cell\": \" One\", \"bbox\": [5, 320, 21, 330]}, {\"cell\": \"49,256 (29.7)\", \"bbox\": [91, 320, 133, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 320, 173, 330]}, {\"cell\": \"207\", \"bbox\": [186, 320, 199, 330]}, {\"cell\": \"951\", \"bbox\": [219, 320, 232, 330]}, {\"cell\": \" Two\", \"bbox\": [5, 333, 20, 342]}, {\"cell\": \"116,676 (70.3)\", \"bbox\": [88, 333, 133, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 333, 173, 342]}, {\"cell\": \"117\", \"bbox\": [186, 333, 199, 342]}, {\"cell\": \"559\", \"bbox\": [219, 333, 232, 342]}, {\"cell\": \"History of mental disorder of biological parent\", \"bbox\": [1, 345, 149, 354]}, {\"cell\": \" No\", \"bbox\": [5, 357, 17, 366]}, {\"cell\": \"148,718 (89.6)\", \"bbox\": [88, 357, 133, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 357, 173, 366]}, {\"cell\": \"132\", \"bbox\": [186, 357, 199, 366]}, {\"cell\": \"615\", \"bbox\": [219, 357, 232, 366]}, {\"cell\": \" Yes\", \"bbox\": [5, 369, 17, 378]}, {\"cell\": \"17,214 (10.4)\", \"bbox\": [91, 369, 133, 378]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 369, 173, 378]}, {\"cell\": \"244\", \"bbox\": [186, 369, 199, 378]}, {\"cell\": \"1206\", \"bbox\": [219, 369, 236, 378]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5585967_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}460{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Sub-agenda</b></td><td><b>Number ofprojects</b></td><td><b>AmountU$ (×1000)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>35</td><td>1,890</td></tr><tr><td>[EMPTY_CELL]</td><td>98</td><td>1,421</td></tr><tr><td>[EMPTY_CELL]</td><td>124</td><td>5,368</td></tr><tr><td>[EMPTY_CELL]</td><td>233</td><td>74,840</td></tr><tr><td>[EMPTY_CELL]</td><td>672</td><td>66,534</td></tr><tr><td>[EMPTY_CELL]</td><td>59</td><td>2,981</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>5,605</td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>5,347</td></tr><tr><td>[EMPTY_CELL]</td><td>67</td><td>15,925</td></tr><tr><td>[EMPTY_CELL]</td><td>237</td><td>7,315</td></tr><tr><td>[EMPTY_CELL]</td><td>36</td><td>1,597</td></tr><tr><td>[EMPTY_CELL]</td><td>46</td><td>2,174</td></tr><tr><td>[EMPTY_CELL]</td><td>187</td><td>7,971</td></tr><tr><td>[EMPTY_CELL]</td><td>261</td><td>18,137</td></tr><tr><td>[EMPTY_CELL]</td><td>86</td><td>6,409</td></tr><tr><td>[EMPTY_CELL]</td><td>61</td><td>2,030</td></tr><tr><td>[EMPTY_CELL]</td><td>138</td><td>108,084</td></tr><tr><td>[EMPTY_CELL]</td><td>153</td><td>8,498</td></tr><tr><td>[EMPTY_CELL]</td><td>379</td><td>42,319</td></tr><tr><td>[EMPTY_CELL]</td><td>125</td><td>3,331</td></tr><tr><td>[EMPTY_CELL]</td><td>163</td><td>12,281</td></tr><tr><td>[EMPTY_CELL]</td><td>98</td><td>3,641</td></tr><tr><td>[EMPTY_CELL]</td><td>163</td><td>9,701</td></tr><tr><td>[EMPTY_CELL]</td><td>98</td><td>5,485</td></tr><tr><td>[EMPTY_CELL]</td><td>3,586</td><td>418,883</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Sub-agenda</b>\", \"bbox\": [1, 4, 44, 13]}, {\"cell\": \"<b>Number ofprojects</b>\", \"bbox\": [162, 4, 192, 31]}, {\"cell\": \"<b>AmountU$ (×1000)</b>\", \"bbox\": [203, 4, 233, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 35, 66, 45]}, {\"cell\": \"35\", \"bbox\": [173, 35, 182, 45]}, {\"cell\": \"1,890\", \"bbox\": [209, 35, 227, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 47, 104, 57]}, {\"cell\": \"98\", \"bbox\": [173, 47, 182, 57]}, {\"cell\": \"1,421\", \"bbox\": [209, 47, 227, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 93, 68]}, {\"cell\": \"124\", \"bbox\": [171, 59, 184, 68]}, {\"cell\": \"5,368\", \"bbox\": [209, 59, 227, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 54, 80]}, {\"cell\": \"233\", \"bbox\": [171, 71, 184, 80]}, {\"cell\": \"74,840\", \"bbox\": [207, 71, 229, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 79, 92]}, {\"cell\": \"672\", \"bbox\": [171, 83, 184, 92]}, {\"cell\": \"66,534\", \"bbox\": [207, 83, 229, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 139, 104]}, {\"cell\": \"59\", \"bbox\": [173, 95, 182, 104]}, {\"cell\": \"2,981\", \"bbox\": [209, 95, 227, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 107, 82, 116]}, {\"cell\": \"3\", \"bbox\": [174, 107, 180, 116]}, {\"cell\": \"5,605\", \"bbox\": [209, 107, 227, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 46, 128]}, {\"cell\": \"64\", \"bbox\": [173, 119, 182, 128]}, {\"cell\": \"5,347\", \"bbox\": [209, 119, 227, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 131, 46, 140]}, {\"cell\": \"67\", \"bbox\": [173, 131, 182, 140]}, {\"cell\": \"15,925\", \"bbox\": [207, 131, 229, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 64, 152]}, {\"cell\": \"237\", \"bbox\": [171, 143, 184, 152]}, {\"cell\": \"7,315\", \"bbox\": [209, 143, 227, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 120, 164]}, {\"cell\": \"36\", \"bbox\": [173, 155, 182, 164]}, {\"cell\": \"1,597\", \"bbox\": [209, 155, 227, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 167, 60, 176]}, {\"cell\": \"46\", \"bbox\": [173, 167, 182, 176]}, {\"cell\": \"2,174\", \"bbox\": [209, 167, 227, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 92, 188]}, {\"cell\": \"187\", \"bbox\": [171, 179, 184, 188]}, {\"cell\": \"7,971\", \"bbox\": [209, 179, 227, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 191, 135, 209]}, {\"cell\": \"261\", \"bbox\": [171, 191, 184, 200]}, {\"cell\": \"18,137\", \"bbox\": [207, 191, 229, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 211, 136, 221]}, {\"cell\": \"86\", \"bbox\": [173, 211, 182, 221]}, {\"cell\": \"6,409\", \"bbox\": [209, 211, 227, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 223, 61, 233]}, {\"cell\": \"61\", \"bbox\": [173, 223, 182, 233]}, {\"cell\": \"2,030\", \"bbox\": [209, 223, 227, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 235, 84, 245]}, {\"cell\": \"138\", \"bbox\": [171, 235, 184, 245]}, {\"cell\": \"108,084\", \"bbox\": [205, 235, 231, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 247, 47, 257]}, {\"cell\": \"153\", \"bbox\": [171, 247, 184, 257]}, {\"cell\": \"8,498\", \"bbox\": [209, 247, 227, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 259, 95, 269]}, {\"cell\": \"379\", \"bbox\": [171, 259, 184, 269]}, {\"cell\": \"42,319\", \"bbox\": [207, 259, 229, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 271, 38, 281]}, {\"cell\": \"125\", \"bbox\": [171, 271, 184, 281]}, {\"cell\": \"3,331\", \"bbox\": [209, 271, 227, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 67, 293]}, {\"cell\": \"163\", \"bbox\": [171, 283, 184, 293]}, {\"cell\": \"12,281\", \"bbox\": [207, 283, 229, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 295, 103, 305]}, {\"cell\": \"98\", \"bbox\": [173, 295, 182, 305]}, {\"cell\": \"3,641\", \"bbox\": [209, 295, 227, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 307, 50, 317]}, {\"cell\": \"163\", \"bbox\": [171, 307, 184, 317]}, {\"cell\": \"9,701\", \"bbox\": [209, 307, 227, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 319, 145, 329]}, {\"cell\": \"98\", \"bbox\": [173, 319, 182, 329]}, {\"cell\": \"5,485\", \"bbox\": [209, 319, 227, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 332, 18, 342]}, {\"cell\": \"3,586\", \"bbox\": [168, 332, 187, 342]}, {\"cell\": \"418,883\", \"bbox\": [205, 332, 231, 342]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3189161_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}461{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b><i>n</i> (%)</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>262 (91.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>25 (8.7)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>63 (22.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>55 (19.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>92 (32.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>77 (26.8)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>149 (51.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>97 (33.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>41 (14.3)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>272 (94.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (1.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>12 (4.2)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>244 (85.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>32 (11.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>11 (3.8)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>33 (11.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>287 (100)</td></tr><tr><td>[EMPTY_CELL]</td><td>67 (23.3)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>48 (16.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>49 (17.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>82 (28.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>107 (37.3)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>255 (88.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>32 (11.1)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>137 (47.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>150 (52.3)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>260 (90.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>27 (9.4)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>117 (40.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>58 (20.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>112 (39.0)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [3, 2, 44, 12]}, {\"cell\": \"<b><i>n</i> (%)</b>\", \"bbox\": [140, 2, 157, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 14, 15, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 23, 24, 33]}, {\"cell\": \"262 (91.3)\", \"bbox\": [133, 23, 163, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 33, 29, 42]}, {\"cell\": \"25 (8.7)\", \"bbox\": [136, 33, 160, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 42, 37, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 51, 27, 61]}, {\"cell\": \"63 (22.0)\", \"bbox\": [136, 51, 163, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 61, 27, 70]}, {\"cell\": \"55 (19.2)\", \"bbox\": [136, 61, 163, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 70, 27, 79]}, {\"cell\": \"92 (32.1)\", \"bbox\": [136, 70, 163, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 79, 21, 89]}, {\"cell\": \"77 (26.8)\", \"bbox\": [136, 79, 163, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 88, 92, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 98, 20, 107]}, {\"cell\": \"149 (51.9)\", \"bbox\": [133, 98, 163, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 107, 20, 117]}, {\"cell\": \"97 (33.8)\", \"bbox\": [136, 107, 163, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 116, 21, 126]}, {\"cell\": \"41 (14.3)\", \"bbox\": [136, 116, 163, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 126, 49, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 135, 30, 144]}, {\"cell\": \"272 (94.8)\", \"bbox\": [133, 135, 163, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 144, 48, 154]}, {\"cell\": \"3 (1.0)\", \"bbox\": [140, 144, 160, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 154, 24, 163]}, {\"cell\": \"12 (4.2)\", \"bbox\": [136, 154, 160, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 163, 64, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 172, 30, 182]}, {\"cell\": \"244 (85.0)\", \"bbox\": [133, 172, 163, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 181, 48, 191]}, {\"cell\": \"32 (11.1)\", \"bbox\": [136, 181, 163, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 191, 24, 200]}, {\"cell\": \"11 (3.8)\", \"bbox\": [136, 191, 160, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 200, 32, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 209, 29, 219]}, {\"cell\": \"33 (11.5)\", \"bbox\": [136, 209, 163, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 219, 32, 228]}, {\"cell\": \"287 (100)\", \"bbox\": [133, 219, 162, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 228, 68, 237]}, {\"cell\": \"67 (23.3)\", \"bbox\": [136, 228, 163, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 237, 104, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 246, 18, 256]}, {\"cell\": \"48 (16.7)\", \"bbox\": [136, 246, 163, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 256, 20, 265]}, {\"cell\": \"49 (17.1)\", \"bbox\": [136, 256, 163, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 265, 20, 275]}, {\"cell\": \"82 (28.6)\", \"bbox\": [136, 265, 163, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 274, 18, 284]}, {\"cell\": \"107 (37.3)\", \"bbox\": [133, 274, 163, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 284, 40, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 293, 32, 302]}, {\"cell\": \"255 (88.8)\", \"bbox\": [133, 293, 163, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 302, 35, 312]}, {\"cell\": \"32 (11.1)\", \"bbox\": [136, 302, 163, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 311, 30, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 321, 17, 330]}, {\"cell\": \"137 (47.7)\", \"bbox\": [133, 321, 163, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 330, 19, 340]}, {\"cell\": \"150 (52.3)\", \"bbox\": [133, 330, 163, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 339, 28, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 349, 56, 358]}, {\"cell\": \"260 (90.6)\", \"bbox\": [133, 349, 163, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 358, 24, 367]}, {\"cell\": \"27 (9.4)\", \"bbox\": [136, 358, 160, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 367, 42, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 377, 27, 386]}, {\"cell\": \"117 (40.8)\", \"bbox\": [133, 377, 163, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 386, 33, 395]}, {\"cell\": \"58 (20.2)\", \"bbox\": [136, 386, 163, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 395, 27, 405]}, {\"cell\": \"112 (39.0)\", \"bbox\": [133, 395, 163, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2957918_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}462{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Name of country</b></td><td rowspan=\\\"2\\\"><b>Country code</b></td><td rowspan=\\\"2\\\"><b>Survey year</b></td><td rowspan=\\\"2\\\"><b>Sample size (total)</b></td><td rowspan=\\\"2\\\"><b>GDP per capita</b></td><td colspan=\\\"5\\\"><b>HIV/AIDS prevalence</b></td></tr><tr><td><b>Total</b></td><td><b>Male</b></td><td><b>Female</b></td><td><b>Urban</b></td><td><b>Rural</b></td></tr></thead><tbody><tr><td>Burkina Faso</td><td>BF</td><td>[EMPTY_CELL]</td><td>15380</td><td>283</td><td>1.02</td><td>0.84</td><td>1.17</td><td>2.07</td><td>0.62</td></tr><tr><td>Cameroon</td><td>CM</td><td>[EMPTY_CELL]</td><td>14198</td><td>666</td><td>4.25</td><td>2.89</td><td>5.57</td><td>4.67</td><td>3.76</td></tr><tr><td>Congo Brazzaville</td><td>CG</td><td>[EMPTY_CELL]</td><td>12109</td><td>101</td><td>3.16</td><td>2.06</td><td>4.12</td><td>3.35</td><td>2.84</td></tr><tr><td>Congo Democratic Republic</td><td>CD</td><td>[EMPTY_CELL]</td><td>8936</td><td>98</td><td>1.27</td><td>0.92</td><td>1.62</td><td>1.86</td><td>0.80</td></tr><tr><td>Cote d’Ivoire</td><td>CI</td><td>[EMPTY_CELL]</td><td>8464</td><td>578</td><td>4.74</td><td>3.11</td><td>6.21</td><td>5.45</td><td>4.10</td></tr><tr><td>Ethiopia</td><td>ET</td><td>[EMPTY_CELL]</td><td>28503</td><td>230</td><td>1.43</td><td>0.98</td><td>1.86</td><td>4.16</td><td>0.62</td></tr><tr><td>Ghana</td><td>GH</td><td>[EMPTY_CELL]</td><td>9554</td><td>276</td><td>2.20</td><td>1.63</td><td>2.71</td><td>2.30</td><td>2.12</td></tr><tr><td>Guinea</td><td>GN</td><td>[EMPTY_CELL]</td><td>6767</td><td>385</td><td>1.54</td><td>1.10</td><td>1.89</td><td>2.65</td><td>0.95</td></tr><tr><td>Kenya</td><td>KE</td><td>[EMPTY_CELL]</td><td>6906</td><td>457</td><td>6.36</td><td>4.55</td><td>26.43</td><td>7.25</td><td>6.07</td></tr><tr><td>Lesotho</td><td>LS</td><td>[EMPTY_CELL]</td><td>6924</td><td>485</td><td>22.97</td><td>18.45</td><td>26.73</td><td>26.83</td><td>21.27</td></tr><tr><td>Liberia</td><td>LR</td><td>[EMPTY_CELL]</td><td>11688</td><td>187</td><td>1.60</td><td>1.23</td><td>1.91</td><td>2.54</td><td>0.94</td></tr><tr><td>Malawi</td><td>MW</td><td>[EMPTY_CELL]</td><td>13905</td><td>181</td><td>10.67</td><td>8.39</td><td>12.88</td><td>17.74</td><td>8.88</td></tr><tr><td>Mali</td><td>ML</td><td>[EMPTY_CELL]</td><td>8629</td><td>255</td><td>1.34</td><td>1.11</td><td>1.54</td><td>1.73</td><td>1.12</td></tr><tr><td>Mozambique</td><td>MZ</td><td>[EMPTY_CELL]</td><td>10305</td><td>368</td><td>11.11</td><td>9.04</td><td>12.67</td><td>15.52</td><td>8.95</td></tr><tr><td>Niger</td><td>NE</td><td>[EMPTY_CELL]</td><td>7673</td><td>172</td><td>0.71</td><td>0.71</td><td>0.71</td><td>1.46</td><td>0.50</td></tr><tr><td>Rwanda</td><td>RW</td><td>[EMPTY_CELL]</td><td>13248</td><td>353</td><td>3.09</td><td>2.41</td><td>3.71</td><td>7.03</td><td>2.37</td></tr><tr><td>Sao Tome & Principe</td><td>ST</td><td>[EMPTY_CELL]</td><td>4710</td><td>1874</td><td>1.54</td><td>1.79</td><td>1.29</td><td>0.88</td><td>2.26</td></tr><tr><td>Senegal</td><td>SN</td><td>[EMPTY_CELL]</td><td>9917</td><td>560</td><td>0.68</td><td>0.51</td><td>0.83</td><td>0.63</td><td>0.74</td></tr><tr><td>Sierra Leone</td><td>SL</td><td>[EMPTY_CELL]</td><td>6455</td><td>259</td><td>1.47</td><td>1.16</td><td>1.73</td><td>2.40</td><td>0.94</td></tr><tr><td>Swaziland</td><td>SZ</td><td>[EMPTY_CELL]</td><td>8186</td><td>1745</td><td>25.88</td><td>19.70</td><td>31.15</td><td>31.43</td><td>23.79</td></tr><tr><td>Tanzania</td><td>TZ</td><td>[EMPTY_CELL]</td><td>15044</td><td>420</td><td>5.67</td><td>4.56</td><td>6.61</td><td>8.73</td><td>4.69</td></tr><tr><td>Uganda</td><td>UG</td><td>[EMPTY_CELL]</td><td>10599</td><td>393</td><td>7.28</td><td>6.11</td><td>8.21</td><td>8.85</td><td>6.89</td></tr><tr><td>Zambia</td><td>ZM</td><td>[EMPTY_CELL]</td><td>10874</td><td>385</td><td>14.21</td><td>12.29</td><td>16.09</td><td>19.51</td><td>10.27</td></tr><tr><td>Zimbabwe</td><td>ZW</td><td>[EMPTY_CELL]</td><td>13897</td><td>335</td><td>15.32</td><td>12.66</td><td>17.71</td><td>16.84</td><td>14.65</td></tr><tr><td>Total†</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>262871</td><td>328</td><td>4.51</td><td>3.51</td><td>6.96</td><td>5.90</td><td>3.90</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Name of country</b>\", \"bbox\": [1, 4, 61, 13]}, {\"cell\": \"<b>Country code</b>\", \"bbox\": [110, 4, 140, 22]}, {\"cell\": \"<b>Survey year</b>\", \"bbox\": [163, 4, 188, 22]}, {\"cell\": \"<b>Sample size (total)</b>\", \"bbox\": [209, 4, 247, 22]}, {\"cell\": \"<b>GDP per capita</b>\", \"bbox\": [264, 4, 295, 22]}, {\"cell\": \"<b>HIV/AIDS prevalence</b>\", \"bbox\": [361, 4, 435, 13]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [311, 17, 330, 27]}, {\"cell\": \"<b>Male</b>\", \"bbox\": [347, 17, 365, 27]}, {\"cell\": \"<b>Female</b>\", \"bbox\": [382, 17, 409, 27]}, {\"cell\": \"<b>Urban</b>\", \"bbox\": [425, 17, 448, 27]}, {\"cell\": \"<b>Rural</b>\", \"bbox\": [465, 17, 484, 27]}, {\"cell\": \"Burkina Faso\", \"bbox\": [1, 30, 43, 40]}, {\"cell\": \"BF\", \"bbox\": [120, 30, 130, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 30, 184, 40]}, {\"cell\": \"15380\", \"bbox\": [218, 30, 239, 40]}, {\"cell\": \"283\", \"bbox\": [272, 30, 286, 40]}, {\"cell\": \"1.02\", \"bbox\": [313, 30, 328, 40]}, {\"cell\": \"0.84\", \"bbox\": [349, 30, 364, 40]}, {\"cell\": \"1.17\", \"bbox\": [388, 30, 403, 40]}, {\"cell\": \"2.07\", \"bbox\": [429, 30, 444, 40]}, {\"cell\": \"0.62\", \"bbox\": [467, 30, 482, 40]}, {\"cell\": \"Cameroon\", \"bbox\": [1, 44, 36, 54]}, {\"cell\": \"CM\", \"bbox\": [119, 44, 132, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 44, 184, 54]}, {\"cell\": \"14198\", \"bbox\": [218, 44, 239, 54]}, {\"cell\": \"666\", \"bbox\": [272, 44, 286, 54]}, {\"cell\": \"4.25\", \"bbox\": [313, 44, 328, 54]}, {\"cell\": \"2.89\", \"bbox\": [349, 44, 364, 54]}, {\"cell\": \"5.57\", \"bbox\": [388, 44, 403, 54]}, {\"cell\": \"4.67\", \"bbox\": [429, 44, 444, 54]}, {\"cell\": \"3.76\", \"bbox\": [467, 44, 482, 54]}, {\"cell\": \"Congo Brazzaville\", \"bbox\": [1, 58, 59, 68]}, {\"cell\": \"CG\", \"bbox\": [120, 58, 131, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 58, 184, 68]}, {\"cell\": \"12109\", \"bbox\": [218, 58, 239, 68]}, {\"cell\": \"101\", \"bbox\": [272, 58, 286, 68]}, {\"cell\": \"3.16\", \"bbox\": [313, 58, 328, 68]}, {\"cell\": \"2.06\", \"bbox\": [349, 58, 364, 68]}, {\"cell\": \"4.12\", \"bbox\": [388, 58, 403, 68]}, {\"cell\": \"3.35\", \"bbox\": [429, 58, 444, 68]}, {\"cell\": \"2.84\", \"bbox\": [467, 58, 482, 68]}, {\"cell\": \"Congo Democratic Republic\", \"bbox\": [1, 72, 93, 82]}, {\"cell\": \"CD\", \"bbox\": [119, 72, 131, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 72, 184, 82]}, {\"cell\": \"8936\", \"bbox\": [220, 72, 237, 82]}, {\"cell\": \"98\", \"bbox\": [274, 72, 284, 82]}, {\"cell\": \"1.27\", \"bbox\": [313, 72, 328, 82]}, {\"cell\": \"0.92\", \"bbox\": [349, 72, 364, 82]}, {\"cell\": \"1.62\", \"bbox\": [388, 72, 403, 82]}, {\"cell\": \"1.86\", \"bbox\": [429, 72, 444, 82]}, {\"cell\": \"0.80\", \"bbox\": [467, 72, 482, 82]}, {\"cell\": \"Cote d’Ivoire\", \"bbox\": [1, 86, 43, 96]}, {\"cell\": \"CI\", \"bbox\": [121, 86, 129, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 86, 184, 96]}, {\"cell\": \"8464\", \"bbox\": [220, 86, 237, 96]}, {\"cell\": \"578\", \"bbox\": [272, 86, 286, 96]}, {\"cell\": \"4.74\", \"bbox\": [313, 86, 328, 96]}, {\"cell\": \"3.11\", \"bbox\": [349, 86, 364, 96]}, {\"cell\": \"6.21\", \"bbox\": [388, 86, 403, 96]}, {\"cell\": \"5.45\", \"bbox\": [429, 86, 444, 96]}, {\"cell\": \"4.10\", \"bbox\": [467, 86, 482, 96]}, {\"cell\": \"Ethiopia\", \"bbox\": [1, 100, 28, 110]}, {\"cell\": \"ET\", \"bbox\": [121, 100, 130, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 100, 184, 110]}, {\"cell\": \"28503\", \"bbox\": [218, 100, 239, 110]}, {\"cell\": \"230\", \"bbox\": [272, 100, 286, 110]}, {\"cell\": \"1.43\", \"bbox\": [313, 100, 328, 110]}, {\"cell\": \"0.98\", \"bbox\": [349, 100, 364, 110]}, {\"cell\": \"1.86\", \"bbox\": [388, 100, 403, 110]}, {\"cell\": \"4.16\", \"bbox\": [429, 100, 444, 110]}, {\"cell\": \"0.62\", \"bbox\": [467, 100, 482, 110]}, {\"cell\": \"Ghana\", \"bbox\": [1, 114, 23, 124]}, {\"cell\": \"GH\", \"bbox\": [119, 114, 131, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 114, 184, 124]}, {\"cell\": \"9554\", \"bbox\": [220, 114, 237, 124]}, {\"cell\": \"276\", \"bbox\": [272, 114, 286, 124]}, {\"cell\": \"2.20\", \"bbox\": [313, 114, 328, 124]}, {\"cell\": \"1.63\", \"bbox\": [349, 114, 364, 124]}, {\"cell\": \"2.71\", \"bbox\": [388, 114, 403, 124]}, {\"cell\": \"2.30\", \"bbox\": [429, 114, 444, 124]}, {\"cell\": \"2.12\", \"bbox\": [467, 114, 482, 124]}, {\"cell\": \"Guinea\", \"bbox\": [1, 128, 25, 138]}, {\"cell\": \"GN\", \"bbox\": [119, 128, 131, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 128, 184, 138]}, {\"cell\": \"6767\", \"bbox\": [220, 128, 237, 138]}, {\"cell\": \"385\", \"bbox\": [272, 128, 286, 138]}, {\"cell\": \"1.54\", \"bbox\": [313, 128, 328, 138]}, {\"cell\": \"1.10\", \"bbox\": [349, 128, 364, 138]}, {\"cell\": \"1.89\", \"bbox\": [388, 128, 403, 138]}, {\"cell\": \"2.65\", \"bbox\": [429, 128, 444, 138]}, {\"cell\": \"0.95\", \"bbox\": [467, 128, 482, 138]}, {\"cell\": \"Kenya\", \"bbox\": [1, 142, 22, 152]}, {\"cell\": \"KE\", \"bbox\": [121, 142, 130, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 142, 193, 152]}, {\"cell\": \"6906\", \"bbox\": [220, 142, 237, 152]}, {\"cell\": \"457\", \"bbox\": [272, 142, 286, 152]}, {\"cell\": \"6.36\", \"bbox\": [313, 142, 328, 152]}, {\"cell\": \"4.55\", \"bbox\": [349, 142, 364, 152]}, {\"cell\": \"26.43\", \"bbox\": [386, 142, 405, 152]}, {\"cell\": \"7.25\", \"bbox\": [429, 142, 444, 152]}, {\"cell\": \"6.07\", \"bbox\": [467, 142, 482, 152]}, {\"cell\": \"Lesotho\", \"bbox\": [1, 156, 28, 166]}, {\"cell\": \"LS\", \"bbox\": [121, 156, 130, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 156, 193, 166]}, {\"cell\": \"6924\", \"bbox\": [220, 156, 237, 166]}, {\"cell\": \"485\", \"bbox\": [272, 156, 286, 166]}, {\"cell\": \"22.97\", \"bbox\": [311, 156, 330, 166]}, {\"cell\": \"18.45\", \"bbox\": [347, 156, 365, 166]}, {\"cell\": \"26.73\", \"bbox\": [386, 156, 405, 166]}, {\"cell\": \"26.83\", \"bbox\": [427, 156, 446, 166]}, {\"cell\": \"21.27\", \"bbox\": [465, 156, 484, 166]}, {\"cell\": \"Liberia\", \"bbox\": [1, 170, 23, 180]}, {\"cell\": \"LR\", \"bbox\": [121, 170, 130, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 170, 184, 180]}, {\"cell\": \"11688\", \"bbox\": [218, 170, 239, 180]}, {\"cell\": \"187\", \"bbox\": [272, 170, 286, 180]}, {\"cell\": \"1.60\", \"bbox\": [313, 170, 328, 180]}, {\"cell\": \"1.23\", \"bbox\": [349, 170, 364, 180]}, {\"cell\": \"1.91\", \"bbox\": [388, 170, 403, 180]}, {\"cell\": \"2.54\", \"bbox\": [429, 170, 444, 180]}, {\"cell\": \"0.94\", \"bbox\": [467, 170, 482, 180]}, {\"cell\": \"Malawi\", \"bbox\": [1, 184, 25, 194]}, {\"cell\": \"MW\", \"bbox\": [118, 184, 133, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 184, 184, 194]}, {\"cell\": \"13905\", \"bbox\": [218, 184, 239, 194]}, {\"cell\": \"181\", \"bbox\": [272, 184, 286, 194]}, {\"cell\": \"10.67\", \"bbox\": [311, 184, 330, 194]}, {\"cell\": \"8.39\", \"bbox\": [349, 184, 364, 194]}, {\"cell\": \"12.88\", \"bbox\": [386, 184, 405, 194]}, {\"cell\": \"17.74\", \"bbox\": [427, 184, 446, 194]}, {\"cell\": \"8.88\", \"bbox\": [467, 184, 482, 194]}, {\"cell\": \"Mali\", \"bbox\": [1, 198, 16, 208]}, {\"cell\": \"ML\", \"bbox\": [119, 198, 131, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 198, 184, 208]}, {\"cell\": \"8629\", \"bbox\": [220, 198, 237, 208]}, {\"cell\": \"255\", \"bbox\": [272, 198, 286, 208]}, {\"cell\": \"1.34\", \"bbox\": [313, 198, 328, 208]}, {\"cell\": \"1.11\", \"bbox\": [349, 198, 364, 208]}, {\"cell\": \"1.54\", \"bbox\": [388, 198, 403, 208]}, {\"cell\": \"1.73\", \"bbox\": [429, 198, 444, 208]}, {\"cell\": \"1.12\", \"bbox\": [467, 198, 482, 208]}, {\"cell\": \"Mozambique\", \"bbox\": [1, 212, 44, 222]}, {\"cell\": \"MZ\", \"bbox\": [119, 212, 132, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 212, 184, 222]}, {\"cell\": \"10305\", \"bbox\": [218, 212, 239, 222]}, {\"cell\": \"368\", \"bbox\": [272, 212, 286, 222]}, {\"cell\": \"11.11\", \"bbox\": [311, 212, 330, 222]}, {\"cell\": \"9.04\", \"bbox\": [349, 212, 364, 222]}, {\"cell\": \"12.67\", \"bbox\": [386, 212, 405, 222]}, {\"cell\": \"15.52\", \"bbox\": [427, 212, 446, 222]}, {\"cell\": \"8.95\", \"bbox\": [467, 212, 482, 222]}, {\"cell\": \"Niger\", \"bbox\": [1, 226, 20, 236]}, {\"cell\": \"NE\", \"bbox\": [120, 226, 131, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 226, 184, 236]}, {\"cell\": \"7673\", \"bbox\": [220, 226, 237, 236]}, {\"cell\": \"172\", \"bbox\": [272, 226, 286, 236]}, {\"cell\": \"0.71\", \"bbox\": [313, 226, 328, 236]}, {\"cell\": \"0.71\", \"bbox\": [349, 226, 364, 236]}, {\"cell\": \"0.71\", \"bbox\": [388, 226, 403, 236]}, {\"cell\": \"1.46\", \"bbox\": [429, 226, 444, 236]}, {\"cell\": \"0.50\", \"bbox\": [467, 226, 482, 236]}, {\"cell\": \"Rwanda\", \"bbox\": [1, 240, 28, 250]}, {\"cell\": \"RW\", \"bbox\": [119, 240, 132, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 240, 184, 250]}, {\"cell\": \"13248\", \"bbox\": [218, 240, 239, 250]}, {\"cell\": \"353\", \"bbox\": [272, 240, 286, 250]}, {\"cell\": \"3.09\", \"bbox\": [313, 240, 328, 250]}, {\"cell\": \"2.41\", \"bbox\": [349, 240, 364, 250]}, {\"cell\": \"3.71\", \"bbox\": [388, 240, 403, 250]}, {\"cell\": \"7.03\", \"bbox\": [429, 240, 444, 250]}, {\"cell\": \"2.37\", \"bbox\": [467, 240, 482, 250]}, {\"cell\": \"Sao Tome & Principe\", \"bbox\": [1, 254, 69, 264]}, {\"cell\": \"ST\", \"bbox\": [121, 254, 130, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 254, 193, 264]}, {\"cell\": \"4710\", \"bbox\": [220, 254, 237, 264]}, {\"cell\": \"1874\", \"bbox\": [271, 254, 288, 264]}, {\"cell\": \"1.54\", \"bbox\": [313, 254, 328, 264]}, {\"cell\": \"1.79\", \"bbox\": [349, 254, 364, 264]}, {\"cell\": \"1.29\", \"bbox\": [388, 254, 403, 264]}, {\"cell\": \"0.88\", \"bbox\": [429, 254, 444, 264]}, {\"cell\": \"2.26\", \"bbox\": [467, 254, 482, 264]}, {\"cell\": \"Senegal\", \"bbox\": [1, 268, 28, 278]}, {\"cell\": \"SN\", \"bbox\": [120, 268, 131, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 268, 184, 278]}, {\"cell\": \"9917\", \"bbox\": [220, 268, 237, 278]}, {\"cell\": \"560\", \"bbox\": [272, 268, 286, 278]}, {\"cell\": \"0.68\", \"bbox\": [313, 268, 328, 278]}, {\"cell\": \"0.51\", \"bbox\": [349, 268, 364, 278]}, {\"cell\": \"0.83\", \"bbox\": [388, 268, 403, 278]}, {\"cell\": \"0.63\", \"bbox\": [429, 268, 444, 278]}, {\"cell\": \"0.74\", \"bbox\": [467, 268, 482, 278]}, {\"cell\": \"Sierra Leone\", \"bbox\": [1, 282, 42, 292]}, {\"cell\": \"SL\", \"bbox\": [121, 282, 130, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 282, 184, 292]}, {\"cell\": \"6455\", \"bbox\": [220, 282, 237, 292]}, {\"cell\": \"259\", \"bbox\": [272, 282, 286, 292]}, {\"cell\": \"1.47\", \"bbox\": [313, 282, 328, 292]}, {\"cell\": \"1.16\", \"bbox\": [349, 282, 364, 292]}, {\"cell\": \"1.73\", \"bbox\": [388, 282, 403, 292]}, {\"cell\": \"2.40\", \"bbox\": [429, 282, 444, 292]}, {\"cell\": \"0.94\", \"bbox\": [467, 282, 482, 292]}, {\"cell\": \"Swaziland\", \"bbox\": [1, 296, 34, 306]}, {\"cell\": \"SZ\", \"bbox\": [120, 296, 130, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 296, 193, 306]}, {\"cell\": \"8186\", \"bbox\": [220, 296, 237, 306]}, {\"cell\": \"1745\", \"bbox\": [271, 296, 288, 306]}, {\"cell\": \"25.88\", \"bbox\": [311, 296, 330, 306]}, {\"cell\": \"19.70\", \"bbox\": [347, 296, 365, 306]}, {\"cell\": \"31.15\", \"bbox\": [386, 296, 405, 306]}, {\"cell\": \"31.43\", \"bbox\": [427, 296, 446, 306]}, {\"cell\": \"23.79\", \"bbox\": [465, 296, 484, 306]}, {\"cell\": \"Tanzania\", \"bbox\": [1, 310, 30, 320]}, {\"cell\": \"TZ\", \"bbox\": [120, 310, 130, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 310, 193, 320]}, {\"cell\": \"15044\", \"bbox\": [218, 310, 239, 320]}, {\"cell\": \"420\", \"bbox\": [272, 310, 286, 320]}, {\"cell\": \"5.67\", \"bbox\": [313, 310, 328, 320]}, {\"cell\": \"4.56\", \"bbox\": [349, 310, 364, 320]}, {\"cell\": \"6.61\", \"bbox\": [388, 310, 403, 320]}, {\"cell\": \"8.73\", \"bbox\": [429, 310, 444, 320]}, {\"cell\": \"4.69\", \"bbox\": [467, 310, 482, 320]}, {\"cell\": \"Uganda\", \"bbox\": [1, 324, 28, 334]}, {\"cell\": \"UG\", \"bbox\": [119, 324, 131, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 324, 184, 334]}, {\"cell\": \"10599\", \"bbox\": [218, 324, 239, 334]}, {\"cell\": \"393\", \"bbox\": [272, 324, 286, 334]}, {\"cell\": \"7.28\", \"bbox\": [313, 324, 328, 334]}, {\"cell\": \"6.11\", \"bbox\": [349, 324, 364, 334]}, {\"cell\": \"8.21\", \"bbox\": [388, 324, 403, 334]}, {\"cell\": \"8.85\", \"bbox\": [429, 324, 444, 334]}, {\"cell\": \"6.89\", \"bbox\": [467, 324, 482, 334]}, {\"cell\": \"Zambia\", \"bbox\": [1, 338, 26, 348]}, {\"cell\": \"ZM\", \"bbox\": [119, 338, 132, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 338, 184, 348]}, {\"cell\": \"10874\", \"bbox\": [218, 338, 239, 348]}, {\"cell\": \"385\", \"bbox\": [272, 338, 286, 348]}, {\"cell\": \"14.21\", \"bbox\": [311, 338, 330, 348]}, {\"cell\": \"12.29\", \"bbox\": [347, 338, 365, 348]}, {\"cell\": \"16.09\", \"bbox\": [386, 338, 405, 348]}, {\"cell\": \"19.51\", \"bbox\": [427, 338, 446, 348]}, {\"cell\": \"10.27\", \"bbox\": [465, 338, 484, 348]}, {\"cell\": \"Zimbabwe\", \"bbox\": [1, 352, 37, 362]}, {\"cell\": \"ZW\", \"bbox\": [119, 352, 132, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 352, 193, 362]}, {\"cell\": \"13897\", \"bbox\": [218, 352, 239, 362]}, {\"cell\": \"335\", \"bbox\": [272, 352, 286, 362]}, {\"cell\": \"15.32\", \"bbox\": [311, 352, 330, 362]}, {\"cell\": \"12.66\", \"bbox\": [347, 352, 365, 362]}, {\"cell\": \"17.71\", \"bbox\": [386, 352, 405, 362]}, {\"cell\": \"16.84\", \"bbox\": [427, 352, 446, 362]}, {\"cell\": \"14.65\", \"bbox\": [465, 352, 484, 362]}, {\"cell\": \"Total†\", \"bbox\": [1, 366, 22, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"262871\", \"bbox\": [216, 366, 241, 376]}, {\"cell\": \"328\", \"bbox\": [272, 366, 286, 376]}, {\"cell\": \"4.51\", \"bbox\": [313, 366, 328, 376]}, {\"cell\": \"3.51\", \"bbox\": [349, 366, 364, 376]}, {\"cell\": \"6.96\", \"bbox\": [388, 366, 403, 376]}, {\"cell\": \"5.90\", \"bbox\": [429, 366, 444, 376]}, {\"cell\": \"3.90\", \"bbox\": [467, 366, 482, 376]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3930550_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}463{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>World area</b></td><td colspan=\\\"10\\\"><b>Year(s)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>1995</b></td><td><b>1996</b></td><td><b>1997</b></td><td><b>1998</b></td><td><b>1999</b></td><td><b>2000</b></td><td><b>2001</b></td><td><b>2002</b></td><td><b>2003</b></td><td><b>1995–2003</b></td></tr></thead><tbody><tr><td>Western Europe</td><td>720 (32.7)</td><td>829 (35.2)</td><td>801 (36.3)</td><td>870 (38.6)</td><td>1037 (41.3)</td><td>1324 (43.2)</td><td>1223 (43.1)</td><td>1125 (40.2)</td><td>1147 (41.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>USA</td><td>982 (44.6)</td><td>978 (41.5)</td><td>853 (38.6)</td><td>829 (36.8)</td><td>904 (36.0)</td><td>1088 (35.5)</td><td>992 (35.0)</td><td>972 (34.8)</td><td>956 (34.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Asia (excluding Japan)</td><td>114 (5.2)</td><td>128 (5.4)</td><td>132 (6.0)</td><td>134 (6.0)</td><td>138 (5.5)</td><td>154 (5.0)</td><td>169 (6.0)</td><td>193 (6.9)</td><td>186 (6.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Canada</td><td>113 (5.1)</td><td>144 (6.1)</td><td>126 (5.7)</td><td>126 (5.6)</td><td>139 (5.5)</td><td>134 (4.4)</td><td>123 (4.3)</td><td>129 (4.6)</td><td>130 (4.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Oceania</td><td>120 (5.5)</td><td>116 (4.9)</td><td>128 (5.8)</td><td>123 (5.5)</td><td>111 (4.4)</td><td>120 (3.9)</td><td>128 (4.5)</td><td>140 (5.0)</td><td>130 (4.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Japan</td><td>94 (4.3)</td><td>92 (3.9)</td><td>103 (4.7)</td><td>107 (4.8)</td><td>110 (4.4)</td><td>173 (5.6)</td><td>120 (4.2)</td><td>126 (4.5)</td><td>101 (3.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Eastern Europe</td><td>24 (1.1)</td><td>39 (1.7)</td><td>29 (1.3)</td><td>28 (1.2)</td><td>35 (1.4)</td><td>30 (1.0)</td><td>33 (1.2)</td><td>61 (2.2)</td><td>46 (1.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Latin America and the Caribbean</td><td>8 (0.4)</td><td>13 (0.6)</td><td>16 (0.7)</td><td>19 (0.8)</td><td>21 (0.8)</td><td>29 (0.9)</td><td>31 (1.1)</td><td>35 (1.3)</td><td>34 (1.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Africa</td><td>25 (1.1)</td><td>19 (0.8)</td><td>20 (0.9)</td><td>16 (0.7)</td><td>13 (0.5)</td><td>15 (0.5)</td><td>17 (0.6)</td><td>16 (0.6)</td><td>20 (0.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total</td><td>2200 (100)</td><td>2358 (100)</td><td>2208 (100)</td><td>2252 (100)</td><td>2508 (100)</td><td>3067 (100)</td><td>2836 (100)</td><td>2797 (100)</td><td>2750 (100)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>World area</b>\", \"bbox\": [2, 9, 37, 18]}, {\"cell\": \"<b>Year(s)</b>\", \"bbox\": [268, 9, 291, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>1995</b>\", \"bbox\": [71, 27, 90, 36]}, {\"cell\": \"<b>1996</b>\", \"bbox\": [116, 27, 134, 36]}, {\"cell\": \"<b>1997</b>\", \"bbox\": [160, 27, 179, 36]}, {\"cell\": \"<b>1998</b>\", \"bbox\": [205, 27, 223, 36]}, {\"cell\": \"<b>1999</b>\", \"bbox\": [250, 27, 268, 36]}, {\"cell\": \"<b>2000</b>\", \"bbox\": [294, 27, 312, 36]}, {\"cell\": \"<b>2001</b>\", \"bbox\": [339, 27, 357, 36]}, {\"cell\": \"<b>2002</b>\", \"bbox\": [383, 27, 402, 36]}, {\"cell\": \"<b>2003</b>\", \"bbox\": [428, 27, 446, 36]}, {\"cell\": \"<b>1995–2003</b>\", \"bbox\": [461, 27, 499, 36]}, {\"cell\": \"Western Europe\", \"bbox\": [2, 48, 52, 57]}, {\"cell\": \"720 (32.7)\", \"bbox\": [63, 48, 98, 57]}, {\"cell\": \"829 (35.2)\", \"bbox\": [108, 48, 142, 57]}, {\"cell\": \"801 (36.3)\", \"bbox\": [152, 48, 187, 57]}, {\"cell\": \"870 (38.6)\", \"bbox\": [197, 48, 231, 57]}, {\"cell\": \"1037 (41.3)\", \"bbox\": [240, 48, 278, 57]}, {\"cell\": \"1324 (43.2)\", \"bbox\": [284, 48, 323, 57]}, {\"cell\": \"1223 (43.1)\", \"bbox\": [329, 48, 367, 57]}, {\"cell\": \"1125 (40.2)\", \"bbox\": [373, 48, 412, 57]}, {\"cell\": \"1147 (41.7)\", \"bbox\": [418, 48, 456, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 48, 499, 57]}, {\"cell\": \"USA\", \"bbox\": [2, 63, 17, 72]}, {\"cell\": \"982 (44.6)\", \"bbox\": [63, 63, 98, 72]}, {\"cell\": \"978 (41.5)\", \"bbox\": [108, 63, 142, 72]}, {\"cell\": \"853 (38.6)\", \"bbox\": [152, 63, 187, 72]}, {\"cell\": \"829 (36.8)\", \"bbox\": [197, 63, 231, 72]}, {\"cell\": \"904 (36.0)\", \"bbox\": [242, 63, 276, 72]}, {\"cell\": \"1088 (35.5)\", \"bbox\": [284, 63, 323, 72]}, {\"cell\": \"992 (35.0)\", \"bbox\": [331, 63, 365, 72]}, {\"cell\": \"972 (34.8)\", \"bbox\": [375, 63, 410, 72]}, {\"cell\": \"956 (34.8)\", \"bbox\": [420, 63, 454, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 63, 499, 72]}, {\"cell\": \"Asia (excluding Japan)\", \"bbox\": [2, 77, 49, 93]}, {\"cell\": \"114 (5.2)\", \"bbox\": [65, 77, 96, 86]}, {\"cell\": \"128 (5.4)\", \"bbox\": [110, 77, 140, 86]}, {\"cell\": \"132 (6.0)\", \"bbox\": [154, 77, 185, 86]}, {\"cell\": \"134 (6.0)\", \"bbox\": [199, 77, 229, 86]}, {\"cell\": \"138 (5.5)\", \"bbox\": [244, 77, 274, 86]}, {\"cell\": \"154 (5.0)\", \"bbox\": [288, 77, 319, 86]}, {\"cell\": \"169 (6.0)\", \"bbox\": [333, 77, 363, 86]}, {\"cell\": \"193 (6.9)\", \"bbox\": [377, 77, 408, 86]}, {\"cell\": \"186 (6.8)\", \"bbox\": [422, 77, 452, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 77, 497, 86]}, {\"cell\": \"Canada\", \"bbox\": [2, 99, 27, 108]}, {\"cell\": \"113 (5.1)\", \"bbox\": [65, 99, 96, 108]}, {\"cell\": \"144 (6.1)\", \"bbox\": [110, 99, 140, 108]}, {\"cell\": \"126 (5.7)\", \"bbox\": [155, 99, 185, 108]}, {\"cell\": \"126 (5.6)\", \"bbox\": [199, 99, 229, 108]}, {\"cell\": \"139 (5.5)\", \"bbox\": [244, 99, 274, 108]}, {\"cell\": \"134 (4.4)\", \"bbox\": [288, 99, 319, 108]}, {\"cell\": \"123 (4.3)\", \"bbox\": [333, 99, 363, 108]}, {\"cell\": \"129 (4.6)\", \"bbox\": [377, 99, 408, 108]}, {\"cell\": \"130 (4.7)\", \"bbox\": [422, 99, 452, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 99, 497, 108]}, {\"cell\": \"Oceania\", \"bbox\": [2, 113, 29, 122]}, {\"cell\": \"120 (5.5)\", \"bbox\": [65, 113, 96, 122]}, {\"cell\": \"116 (4.9)\", \"bbox\": [110, 113, 140, 122]}, {\"cell\": \"128 (5.8)\", \"bbox\": [154, 113, 185, 122]}, {\"cell\": \"123 (5.5)\", \"bbox\": [199, 113, 229, 122]}, {\"cell\": \"111 (4.4)\", \"bbox\": [244, 113, 274, 122]}, {\"cell\": \"120 (3.9)\", \"bbox\": [288, 113, 319, 122]}, {\"cell\": \"128 (4.5)\", \"bbox\": [333, 113, 363, 122]}, {\"cell\": \"140 (5.0)\", \"bbox\": [377, 113, 408, 122]}, {\"cell\": \"130 (4.7)\", \"bbox\": [422, 113, 452, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 113, 497, 122]}, {\"cell\": \"Japan\", \"bbox\": [2, 128, 21, 137]}, {\"cell\": \"94 (4.3)\", \"bbox\": [67, 128, 94, 137]}, {\"cell\": \"92 (3.9)\", \"bbox\": [112, 128, 138, 137]}, {\"cell\": \"103 (4.7)\", \"bbox\": [154, 128, 185, 137]}, {\"cell\": \"107 (4.8)\", \"bbox\": [199, 128, 229, 137]}, {\"cell\": \"110 (4.4)\", \"bbox\": [244, 128, 274, 137]}, {\"cell\": \"173 (5.6)\", \"bbox\": [288, 128, 319, 137]}, {\"cell\": \"120 (4.2)\", \"bbox\": [333, 128, 363, 137]}, {\"cell\": \"126 (4.5)\", \"bbox\": [377, 128, 408, 137]}, {\"cell\": \"101 (3.7)\", \"bbox\": [422, 128, 452, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 128, 497, 137]}, {\"cell\": \"Eastern Europe\", \"bbox\": [2, 142, 49, 151]}, {\"cell\": \"24 (1.1)\", \"bbox\": [67, 142, 94, 151]}, {\"cell\": \"39 (1.7)\", \"bbox\": [112, 142, 138, 151]}, {\"cell\": \"29 (1.3)\", \"bbox\": [156, 142, 183, 151]}, {\"cell\": \"28 (1.2)\", \"bbox\": [201, 142, 227, 151]}, {\"cell\": \"35 (1.4)\", \"bbox\": [246, 142, 272, 151]}, {\"cell\": \"30 (1.0)\", \"bbox\": [290, 142, 316, 151]}, {\"cell\": \"33 (1.2)\", \"bbox\": [335, 142, 361, 151]}, {\"cell\": \"61 (2.2)\", \"bbox\": [379, 142, 406, 151]}, {\"cell\": \"46 (1.7)\", \"bbox\": [424, 142, 450, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 142, 495, 151]}, {\"cell\": \"Latin America and the Caribbean\", \"bbox\": [2, 157, 57, 173]}, {\"cell\": \"8 (0.4)\", \"bbox\": [69, 157, 92, 166]}, {\"cell\": \"13 (0.6)\", \"bbox\": [112, 157, 138, 166]}, {\"cell\": \"16 (0.7)\", \"bbox\": [157, 157, 183, 166]}, {\"cell\": \"19 (0.8)\", \"bbox\": [201, 157, 227, 166]}, {\"cell\": \"21 (0.8)\", \"bbox\": [246, 157, 272, 166]}, {\"cell\": \"29 (0.9)\", \"bbox\": [290, 157, 316, 166]}, {\"cell\": \"31 (1.1)\", \"bbox\": [335, 157, 361, 166]}, {\"cell\": \"35 (1.3)\", \"bbox\": [379, 157, 406, 166]}, {\"cell\": \"34 (1.2)\", \"bbox\": [424, 157, 450, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 157, 495, 166]}, {\"cell\": \"Africa\", \"bbox\": [2, 178, 21, 187]}, {\"cell\": \"25 (1.1)\", \"bbox\": [67, 178, 94, 187]}, {\"cell\": \"19 (0.8)\", \"bbox\": [112, 178, 138, 187]}, {\"cell\": \"20 (0.9)\", \"bbox\": [157, 178, 183, 187]}, {\"cell\": \"16 (0.7)\", \"bbox\": [201, 178, 227, 187]}, {\"cell\": \"13 (0.5)\", \"bbox\": [246, 178, 272, 187]}, {\"cell\": \"15 (0.5)\", \"bbox\": [290, 178, 317, 187]}, {\"cell\": \"17 (0.6)\", \"bbox\": [335, 178, 361, 187]}, {\"cell\": \"16 (0.6)\", \"bbox\": [379, 178, 406, 187]}, {\"cell\": \"20 (0.7)\", \"bbox\": [424, 178, 450, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 178, 495, 187]}, {\"cell\": \"Total\", \"bbox\": [2, 207, 18, 216]}, {\"cell\": \"2200 (100)\", \"bbox\": [62, 207, 99, 216]}, {\"cell\": \"2358 (100)\", \"bbox\": [107, 207, 143, 216]}, {\"cell\": \"2208 (100)\", \"bbox\": [151, 207, 188, 216]}, {\"cell\": \"2252 (100)\", \"bbox\": [196, 207, 233, 216]}, {\"cell\": \"2508 (100)\", \"bbox\": [240, 207, 277, 216]}, {\"cell\": \"3067 (100)\", \"bbox\": [285, 207, 322, 216]}, {\"cell\": \"2836 (100)\", \"bbox\": [330, 207, 366, 216]}, {\"cell\": \"2797 (100)\", \"bbox\": [374, 207, 411, 216]}, {\"cell\": \"2750 (100)\", \"bbox\": [419, 207, 456, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 207, 500, 216]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1175888_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}464{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Category</b></td><td><b>No.</b></td><td><b>Exercise (no. of variants)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1</td><td>Hip/knee extension, dynamic (15)</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>Knee extension, static (3)</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>Leg lift, frontal/lateral (9)</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>Arm elevation (7)</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>Arm abduction (7)</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>Elbow extension/shoulder protraction (6)</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>Back extension, dynamic (6)</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>Upper back/shoulder extension, static (4)</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>Abdominals, static (5)</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>Abdominals, dynamic (10)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Aerobics</b></td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>March (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>Tap (6)</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>Step touch (4)</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>Out-In (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>V-step (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>Box-step (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>Grapevine (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>Leg curl (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>Knee lift (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>Front kick (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td><td>Heel dig (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Walking</b></td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>Continuous (1)</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>Interval (4)</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>Chest/upper back (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>Torso (1)</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>Neck (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>Lateral torso (1)</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>Ischiocrural muscles (2)</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>Two-leg stand (5)</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>Tandem stand (5)</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>One-leg stand (5)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Category</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>No.</b>\", \"bbox\": [65, 4, 78, 13]}, {\"cell\": \"<b>Exercise (no. of variants)</b>\", \"bbox\": [108, 4, 184, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 16, 29, 26]}, {\"cell\": \"1\", \"bbox\": [65, 16, 71, 26]}, {\"cell\": \"Hip/knee extension, dynamic (15)\", \"bbox\": [108, 16, 213, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [65, 30, 71, 39]}, {\"cell\": \"Knee extension, static (3)\", \"bbox\": [108, 30, 186, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [65, 44, 71, 53]}, {\"cell\": \"Leg lift, frontal/lateral (9)\", \"bbox\": [108, 44, 185, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [65, 57, 71, 67]}, {\"cell\": \"Arm elevation (7)\", \"bbox\": [108, 57, 163, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [65, 71, 71, 80]}, {\"cell\": \"Arm abduction (7)\", \"bbox\": [108, 71, 166, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [65, 84, 71, 94]}, {\"cell\": \"Elbow extension/shoulder protraction (6)\", \"bbox\": [108, 84, 236, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [65, 98, 71, 107]}, {\"cell\": \"Back extension, dynamic (6)\", \"bbox\": [108, 98, 196, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [65, 112, 71, 121]}, {\"cell\": \"Upper back/shoulder extension, static (4)\", \"bbox\": [108, 112, 236, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [65, 125, 71, 134]}, {\"cell\": \"Abdominals, static (5)\", \"bbox\": [108, 125, 176, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10\", \"bbox\": [65, 139, 75, 148]}, {\"cell\": \"Abdominals, dynamic (10)\", \"bbox\": [108, 139, 190, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 35, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Aerobics</b>\", \"bbox\": [108, 153, 139, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [65, 166, 71, 175]}, {\"cell\": \"March (2)\", \"bbox\": [108, 166, 139, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [65, 180, 71, 189]}, {\"cell\": \"Tap (6)\", \"bbox\": [108, 180, 131, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [65, 193, 71, 203]}, {\"cell\": \"Step touch (4)\", \"bbox\": [108, 193, 154, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [65, 207, 71, 216]}, {\"cell\": \"Out-In (2)\", \"bbox\": [108, 207, 139, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [65, 220, 71, 230]}, {\"cell\": \"V-step (2)\", \"bbox\": [108, 220, 139, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [65, 234, 71, 243]}, {\"cell\": \"Box-step (2)\", \"bbox\": [108, 234, 146, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [65, 248, 71, 257]}, {\"cell\": \"Grapevine (2)\", \"bbox\": [108, 248, 151, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [65, 261, 71, 270]}, {\"cell\": \"Leg curl (2)\", \"bbox\": [108, 261, 145, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [65, 275, 71, 284]}, {\"cell\": \"Knee lift (2)\", \"bbox\": [108, 275, 145, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10\", \"bbox\": [65, 288, 75, 298]}, {\"cell\": \"Front kick (2)\", \"bbox\": [108, 288, 150, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11\", \"bbox\": [65, 302, 75, 311]}, {\"cell\": \"Heel dig (2)\", \"bbox\": [108, 302, 146, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Walking</b>\", \"bbox\": [108, 316, 137, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [65, 329, 71, 338]}, {\"cell\": \"Continuous (1)\", \"bbox\": [108, 329, 155, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [65, 343, 71, 352]}, {\"cell\": \"Interval (4)\", \"bbox\": [108, 343, 142, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 356, 31, 366]}, {\"cell\": \"1\", \"bbox\": [65, 356, 71, 366]}, {\"cell\": \"Chest/upper back (2)\", \"bbox\": [108, 356, 174, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [65, 370, 71, 379]}, {\"cell\": \"Torso (1)\", \"bbox\": [108, 370, 137, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [65, 384, 71, 393]}, {\"cell\": \"Neck (2)\", \"bbox\": [108, 384, 135, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [65, 397, 71, 406]}, {\"cell\": \"Lateral torso (1)\", \"bbox\": [108, 397, 158, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [65, 411, 71, 420]}, {\"cell\": \"Ischiocrural muscles (2)\", \"bbox\": [108, 411, 181, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 424, 26, 434]}, {\"cell\": \"1\", \"bbox\": [65, 424, 71, 434]}, {\"cell\": \"Two-leg stand (5)\", \"bbox\": [108, 424, 164, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [65, 438, 71, 447]}, {\"cell\": \"Tandem stand (5)\", \"bbox\": [108, 438, 164, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [65, 452, 71, 461]}, {\"cell\": \"One-leg stand (5)\", \"bbox\": [108, 452, 164, 461]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5339965_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}465{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Case #</b></td><td><b>Karyotypes</b></td><td><b>FISH</b></td></tr></thead><tbody><tr><td>1</td><td>46,XX,t(4;11)(q21;q23),t(9;22)(q34;q11.2) [13] /46,XX [7]</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>46,XY,add(2)(p21),inv(3)(q21q26.2),der(6)t(6;11)(p11.2;q23)t(6;9)(q25;q22)t(9;22)(q34;q11.2),der(9)t(6;9),der(11)t(6;11),der(22)t(9;22) [20]</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>45,X,-Y,t(9;22)(q34;q11),t(11;19)(q23;p13.1) [20]</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>45,XX,t(2;11)(q32;q23),del(4)(p14),del(6)(q14),t(9;22)(q34;q11),-13,add(16)(q24),del(18)(q21) [20]</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>46,XY,t(9;22)(q34;q11.2) [16] /46,sl,t(9;11)(p22;q23),i(17)(q10) [16]/47,sl,t(9;11)(p22;q23),+17 [2]</td><td>[EMPTY_CELL]</td></tr><tr><td>6</td><td>46,XY,t(9:22)(q34;q11.2) [9] /46,XY,der(9)t(9;18)(p22;q11.2),t(9;22)(q34;q11.2),der(11)t(9;11)(p22;q23),i(17)(q10),der(18)t(11;18)(q23;q11.2),der(22)t(9;22) [11]</td><td>[EMPTY_CELL]</td></tr><tr><td>7</td><td>46,XX,t(9;22)(q34;q11.2) [7] /46,XX,der(4)t(4;9;11)(p12;p22;q23),der(9)t(4;9;11)t(9;22)(q34;q11.2),der(11)t(4;9;11),der(22)t(9;22) [13]</td><td>[EMPTY_CELL]</td></tr><tr><td>8</td><td>50,XY,t(9;11)(p22;q23),t(9;22)(q34;q11.2),+13,+17,+22,+der(22)t(9;22) [20]</td><td>[EMPTY_CELL]</td></tr><tr><td>9</td><td>45,X,-Y,t(9;11)(p21;q23),t(9;22)(q34;q11.2) [8] /51,idem,+X,+6,+8,+21,+22,+der(22)t(9;22) [12]</td><td>[EMPTY_CELL]</td></tr><tr><td>10</td><td>46,XX,t(9;22)(q34;q11),t(11;19)(q23;p13) [15] /46,XX [4]</td><td>[EMPTY_CELL]</td></tr><tr><td>11</td><td>46,XY,t(11;17)(q23;q25) [20]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Case #</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>Karyotypes</b>\", \"bbox\": [35, 4, 76, 13]}, {\"cell\": \"<b>FISH</b>\", \"bbox\": [467, 4, 484, 13]}, {\"cell\": \"1\", \"bbox\": [1, 17, 6, 26]}, {\"cell\": \"46,XX,t(4;11)(q21;q23),t(9;22)(q34;q11.2) [13] /46,XX [7]\", \"bbox\": [35, 17, 207, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 20, 474, 25]}, {\"cell\": \"2\", \"bbox\": [1, 31, 6, 40]}, {\"cell\": \"46,XY,add(2)(p21),inv(3)(q21q26.2),der(6)t(6;11)(p11.2;q23)t(6;9)(q25;q22)t(9;22)(q34;q11.2),der(9)t(6;9),der(11)t(6;11),der(22)t(9;22) [20]\", \"bbox\": [35, 31, 452, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 34, 474, 39]}, {\"cell\": \"3\", \"bbox\": [1, 45, 6, 54]}, {\"cell\": \"45,X,-Y,t(9;22)(q34;q11),t(11;19)(q23;p13.1) [20]\", \"bbox\": [35, 45, 181, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 45, 474, 54]}, {\"cell\": \"4\", \"bbox\": [1, 59, 6, 68]}, {\"cell\": \"45,XX,t(2;11)(q32;q23),del(4)(p14),del(6)(q14),t(9;22)(q34;q11),-13,add(16)(q24),del(18)(q21) [20]\", \"bbox\": [35, 59, 331, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 62, 474, 67]}, {\"cell\": \"5\", \"bbox\": [1, 73, 6, 82]}, {\"cell\": \"46,XY,t(9;22)(q34;q11.2) [16] /46,sl,t(9;11)(p22;q23),i(17)(q10) [16]/47,sl,t(9;11)(p22;q23),+17 [2]\", \"bbox\": [35, 73, 328, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 73, 474, 82]}, {\"cell\": \"6\", \"bbox\": [1, 87, 6, 96]}, {\"cell\": \"46,XY,t(9:22)(q34;q11.2) [9] /46,XY,der(9)t(9;18)(p22;q11.2),t(9;22)(q34;q11.2),der(11)t(9;11)(p22;q23),i(17)(q10),der(18)t(11;18)(q23;q11.2),der(22)t(9;22) [11]\", \"bbox\": [35, 87, 457, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 87, 481, 96]}, {\"cell\": \"7\", \"bbox\": [1, 110, 6, 119]}, {\"cell\": \"46,XX,t(9;22)(q34;q11.2) [7] /46,XX,der(4)t(4;9;11)(p12;p22;q23),der(9)t(4;9;11)t(9;22)(q34;q11.2),der(11)t(4;9;11),der(22)t(9;22) [13]\", \"bbox\": [35, 110, 433, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 110, 474, 119]}, {\"cell\": \"8\", \"bbox\": [1, 124, 6, 133]}, {\"cell\": \"50,XY,t(9;11)(p22;q23),t(9;22)(q34;q11.2),+13,+17,+22,+der(22)t(9;22) [20]\", \"bbox\": [35, 124, 263, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 124, 474, 133]}, {\"cell\": \"9\", \"bbox\": [1, 138, 6, 147]}, {\"cell\": \"45,X,-Y,t(9;11)(p21;q23),t(9;22)(q34;q11.2) [8] /51,idem,+X,+6,+8,+21,+22,+der(22)t(9;22) [12]\", \"bbox\": [35, 138, 323, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 138, 474, 147]}, {\"cell\": \"10\", \"bbox\": [1, 152, 10, 161]}, {\"cell\": \"46,XX,t(9;22)(q34;q11),t(11;19)(q23;p13) [15] /46,XX [4]\", \"bbox\": [35, 152, 206, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 152, 474, 161]}, {\"cell\": \"11\", \"bbox\": [1, 166, 10, 175]}, {\"cell\": \"46,XY,t(11;17)(q23;q25) [20]\", \"bbox\": [35, 166, 122, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [467, 166, 474, 175]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4396174_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}466{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Outcome</b></td><td colspan=\\\"4\\\"><b>Criteria</b></td></tr><tr><td><b>Proteinuria (uPCI)</b></td><td><b>Haematuria</b></td><td><b>Serum creatinine</b></td><td><b>Serum albumin</b></td></tr></thead><tbody><tr><td>Complete remission (CR)</td><td>≤50 mg/mmol creatinine</td><td><10 RBC × 10<sup>6</sup>/L + no RBC casts</td><td>[EMPTY_CELL]</td><td>≥35 g/L</td></tr><tr><td>Partial remission (PR)</td><td>50% reduction in baseline or > 50 ≤ 300 mg/mmol creatinine</td><td>>10 < 50 RBC × 10<sup>6</sup>/L + no RBC casts</td><td>[EMPTY_CELL]</td><td>≥35 g/L</td></tr><tr><td>Nonremission (NR)</td><td>No change or >300 mg/mmol creatinine</td><td>≥50 < 150 RBC × 10<sup>6</sup>/L ± RBC casts</td><td>[EMPTY_CELL]</td><td><35 g/L</td></tr><tr><td>Relapse/flare</td><td>Increase after 4 weeks of CR/PR</td><td>Increase after 4 weeks of CR/PR</td><td>[EMPTY_CELL]</td><td>Decrease after 4 weeks of CR/PR</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Outcome</b>\", \"bbox\": [2, 10, 38, 21]}, {\"cell\": \"<b>Criteria</b>\", \"bbox\": [284, 5, 314, 15]}, {\"cell\": \"<b>Proteinuria (uPCI)</b>\", \"bbox\": [113, 19, 183, 30]}, {\"cell\": \"<b>Haematuria</b>\", \"bbox\": [232, 19, 277, 30]}, {\"cell\": \"<b>Serum creatinine</b>\", \"bbox\": [324, 19, 388, 30]}, {\"cell\": \"<b>Serum albumin</b>\", \"bbox\": [424, 19, 482, 30]}, {\"cell\": \"Complete remission (CR)\", \"bbox\": [2, 37, 96, 48]}, {\"cell\": \"≤50 mg/mmol creatinine\", \"bbox\": [103, 35, 194, 51]}, {\"cell\": \"<10 RBC × 10<sup>6</sup>/L + no RBC casts\", \"bbox\": [205, 30, 304, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 30, 388, 54]}, {\"cell\": \"≥35 g/L\", \"bbox\": [438, 35, 467, 51]}, {\"cell\": \"Partial remission (PR)\", \"bbox\": [2, 66, 84, 77]}, {\"cell\": \"50% reduction in baseline or > 50 ≤ 300 mg/mmol creatinine\", \"bbox\": [101, 57, 195, 89]}, {\"cell\": \">10 < 50 RBC × 10<sup>6</sup>/L + no RBC casts\", \"bbox\": [205, 59, 304, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 59, 388, 84]}, {\"cell\": \"≥35 g/L\", \"bbox\": [438, 64, 467, 80]}, {\"cell\": \"Nonremission (NR)\", \"bbox\": [2, 95, 76, 106]}, {\"cell\": \"No change or >300 mg/mmol creatinine\", \"bbox\": [100, 92, 196, 114]}, {\"cell\": \"≥50 < 150 RBC × 10<sup>6</sup>/L ± RBC casts\", \"bbox\": [209, 88, 300, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [329, 94, 383, 109]}, {\"cell\": \"<35 g/L\", \"bbox\": [438, 94, 467, 109]}, {\"cell\": \"Relapse/flare\", \"bbox\": [2, 119, 50, 130]}, {\"cell\": \"Increase after 4 weeks of CR/PR\", \"bbox\": [104, 115, 193, 137]}, {\"cell\": \"Increase after 4 weeks of CR/PR\", \"bbox\": [210, 115, 299, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 115, 401, 137]}, {\"cell\": \"Decrease after 4 weeks of CR/PR\", \"bbox\": [407, 115, 499, 137]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4515289_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}467{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Current asthma</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Total (n = 6 003)</b></td><td><b>Yes (n = 450)</b></td><td><b>No (n = 5 553)</b></td></tr></thead><tbody><tr><td><b>Municipality</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Urban</td><td>4593 (76.5)</td><td>337 (74.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rural</td><td>1410 (23.5)</td><td>113 (25.1)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Female, n (%)</b></td><td>3438 (57.3)</td><td>282 (62.7)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Age groups, n (%)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><18 years old</td><td>716 (11.9)</td><td>56 (12.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>18-65 years old</td><td>3104 (51.7)</td><td>211 (46.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>>65 years old</td><td>2178 (36.3)</td><td>183 (40.7)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>BMI</b><sup><b>†</b></sup><b>, n(%)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Underweight (<18)</td><td>253 ( 5.1)</td><td>18 ( 4.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Normal weight (18–25)</td><td>2179 (43.9)</td><td>140 (38.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Overweight (25–30)</td><td>1825 (36.7)</td><td>128 (35.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Obese (>30)</td><td>710 (14.3)</td><td>79 (21.6)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Education level</b><sup><b>‡</b></sup><b>, n(%)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><9 years</td><td>3907 (65.5)</td><td>312 (69.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>9-12 years</td><td>1175 (19.7)</td><td>85 (19.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>>12 years</td><td>732 (12.3)</td><td>40 (8.9)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>SES</b><sup><b>††</b></sup><b>, n(%)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Low</td><td>1289 (22.0)</td><td>111 (25.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Medium</td><td>4137 (71.1)</td><td>1169 (21.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>High</td><td>405 ( 7.0)</td><td>23 ( 5.2)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Smoking status, n(%)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Non-smoker</td><td>4291 (71.5)</td><td>333 (74.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Ex-smoker</td><td>971 (16.2)</td><td>71 (15.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Current smoker</td><td>741 (12.3)</td><td>46 (10.2)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Unit Packs-year, n(%)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>≤10 Packs-year</td><td>4799 (79.9)</td><td>368 (82.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>>10 Packs-year</td><td>1150 (19.2)</td><td>79 (17.7)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>ETS</b><sup><b>‡‡</b></sup><b>, n(%)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>4843 (80.7)</td><td>347 (77.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>1160 (19.3)</td><td>103 (22.9)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Current asthma</b>\", \"bbox\": [368, 4, 424, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total (n = 6 003)</b>\", \"bbox\": [167, 17, 225, 27]}, {\"cell\": \"<b>Yes (n = 450)</b>\", \"bbox\": [307, 17, 353, 27]}, {\"cell\": \"<b>No (n = 5 553)</b>\", \"bbox\": [434, 17, 484, 27]}, {\"cell\": \"<b>Municipality</b>\", \"bbox\": [1, 30, 45, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Urban\", \"bbox\": [10, 44, 31, 54]}, {\"cell\": \"4593 (76.5)\", \"bbox\": [178, 44, 215, 54]}, {\"cell\": \"337 (74.9)\", \"bbox\": [315, 44, 348, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 44, 478, 54]}, {\"cell\": \"Rural\", \"bbox\": [10, 58, 28, 68]}, {\"cell\": \"1410 (23.5)\", \"bbox\": [178, 58, 215, 68]}, {\"cell\": \"113 (25.1)\", \"bbox\": [315, 58, 348, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 58, 478, 68]}, {\"cell\": \"<b>Female, n (%)</b>\", \"bbox\": [1, 72, 50, 82]}, {\"cell\": \"3438 (57.3)\", \"bbox\": [178, 72, 215, 82]}, {\"cell\": \"282 (62.7)\", \"bbox\": [315, 72, 348, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 72, 478, 82]}, {\"cell\": \"<b>Age groups, n (%)</b>\", \"bbox\": [1, 86, 65, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<18 years old\", \"bbox\": [10, 100, 55, 110]}, {\"cell\": \"716 (11.9)\", \"bbox\": [182, 100, 215, 110]}, {\"cell\": \"56 (12.4)\", \"bbox\": [319, 100, 348, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 100, 478, 110]}, {\"cell\": \"18-65 years old\", \"bbox\": [10, 114, 61, 124]}, {\"cell\": \"3104 (51.7)\", \"bbox\": [178, 114, 215, 124]}, {\"cell\": \"211 (46.9)\", \"bbox\": [315, 114, 348, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 114, 478, 124]}, {\"cell\": \">65 years old\", \"bbox\": [10, 128, 55, 138]}, {\"cell\": \"2178 (36.3)\", \"bbox\": [178, 128, 215, 138]}, {\"cell\": \"183 (40.7)\", \"bbox\": [315, 128, 348, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 128, 478, 138]}, {\"cell\": \"<b>BMI</b><sup><b>†</b></sup><b>, n(%)</b>\", \"bbox\": [1, 141, 39, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Underweight (<18)\", \"bbox\": [10, 156, 73, 166]}, {\"cell\": \"253 ( 5.1)\", \"bbox\": [183, 156, 215, 166]}, {\"cell\": \"18 ( 4.9)\", \"bbox\": [320, 156, 348, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 156, 478, 166]}, {\"cell\": \"Normal weight (18–25)\", \"bbox\": [10, 170, 86, 180]}, {\"cell\": \"2179 (43.9)\", \"bbox\": [178, 170, 215, 180]}, {\"cell\": \"140 (38.4)\", \"bbox\": [315, 170, 348, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 170, 478, 180]}, {\"cell\": \"Overweight (25–30)\", \"bbox\": [10, 184, 75, 194]}, {\"cell\": \"1825 (36.7)\", \"bbox\": [178, 184, 215, 194]}, {\"cell\": \"128 (35.1)\", \"bbox\": [315, 184, 348, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 184, 478, 194]}, {\"cell\": \"Obese (>30)\", \"bbox\": [10, 198, 51, 208]}, {\"cell\": \"710 (14.3)\", \"bbox\": [182, 198, 215, 208]}, {\"cell\": \"79 (21.6)\", \"bbox\": [319, 198, 348, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 198, 478, 208]}, {\"cell\": \"<b>Education level</b><sup><b>‡</b></sup><b>, n(%)</b>\", \"bbox\": [1, 211, 78, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<9 years\", \"bbox\": [10, 226, 39, 236]}, {\"cell\": \"3907 (65.5)\", \"bbox\": [178, 226, 215, 236]}, {\"cell\": \"312 (69.6)\", \"bbox\": [315, 226, 348, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 226, 478, 236]}, {\"cell\": \"9-12 years\", \"bbox\": [10, 240, 44, 250]}, {\"cell\": \"1175 (19.7)\", \"bbox\": [178, 240, 215, 250]}, {\"cell\": \"85 (19.0)\", \"bbox\": [319, 240, 348, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 240, 478, 250]}, {\"cell\": \">12 years\", \"bbox\": [10, 254, 43, 264]}, {\"cell\": \"732 (12.3)\", \"bbox\": [182, 254, 215, 264]}, {\"cell\": \"40 (8.9)\", \"bbox\": [323, 254, 348, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 254, 478, 264]}, {\"cell\": \"<b>SES</b><sup><b>††</b></sup><b>, n(%)</b>\", \"bbox\": [1, 267, 41, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [10, 282, 25, 292]}, {\"cell\": \"1289 (22.0)\", \"bbox\": [178, 282, 215, 292]}, {\"cell\": \"111 (25.2)\", \"bbox\": [315, 282, 348, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 282, 478, 292]}, {\"cell\": \"Medium\", \"bbox\": [10, 296, 38, 306]}, {\"cell\": \"4137 (71.1)\", \"bbox\": [178, 296, 215, 306]}, {\"cell\": \"1169 (21.7)\", \"bbox\": [311, 296, 348, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 296, 478, 306]}, {\"cell\": \"High\", \"bbox\": [10, 310, 27, 320]}, {\"cell\": \"405 ( 7.0)\", \"bbox\": [183, 310, 215, 320]}, {\"cell\": \"23 ( 5.2)\", \"bbox\": [320, 310, 348, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 310, 478, 320]}, {\"cell\": \"<b>Smoking status, n(%)</b>\", \"bbox\": [1, 324, 76, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-smoker\", \"bbox\": [10, 338, 51, 348]}, {\"cell\": \"4291 (71.5)\", \"bbox\": [178, 338, 215, 348]}, {\"cell\": \"333 (74.0)\", \"bbox\": [315, 338, 348, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 338, 478, 348]}, {\"cell\": \"Ex-smoker\", \"bbox\": [10, 352, 44, 362]}, {\"cell\": \"971 (16.2)\", \"bbox\": [182, 352, 215, 362]}, {\"cell\": \"71 (15.8)\", \"bbox\": [319, 352, 348, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 352, 478, 362]}, {\"cell\": \"Current smoker\", \"bbox\": [10, 366, 61, 376]}, {\"cell\": \"741 (12.3)\", \"bbox\": [182, 366, 215, 376]}, {\"cell\": \"46 (10.2)\", \"bbox\": [319, 366, 348, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 366, 478, 376]}, {\"cell\": \"<b>Unit Packs-year, n(%)</b>\", \"bbox\": [1, 380, 76, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤10 Packs-year\", \"bbox\": [10, 394, 60, 404]}, {\"cell\": \"4799 (79.9)\", \"bbox\": [178, 394, 215, 404]}, {\"cell\": \"368 (82.3)\", \"bbox\": [315, 394, 348, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 394, 478, 404]}, {\"cell\": \">10 Packs-year\", \"bbox\": [10, 408, 59, 418]}, {\"cell\": \"1150 (19.2)\", \"bbox\": [178, 408, 215, 418]}, {\"cell\": \"79 (17.7)\", \"bbox\": [319, 408, 348, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 408, 478, 418]}, {\"cell\": \"<b>ETS</b><sup><b>‡‡</b></sup><b>, n(%)</b>\", \"bbox\": [1, 421, 41, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [10, 436, 21, 446]}, {\"cell\": \"4843 (80.7)\", \"bbox\": [178, 436, 215, 446]}, {\"cell\": \"347 (77.1)\", \"bbox\": [315, 436, 348, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 436, 478, 446]}, {\"cell\": \"Yes\", \"bbox\": [10, 450, 23, 460]}, {\"cell\": \"1160 (19.3)\", \"bbox\": [178, 450, 215, 460]}, {\"cell\": \"103 (22.9)\", \"bbox\": [315, 450, 348, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 450, 478, 460]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3480869_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}468{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Diabetic subjects No. (%)</b></td><td><b>Total person-yearsa No. (%)</b></td></tr></thead><tbody><tr><td>Exposure</td><td>[EMPTY_CELL]</td><td>8,966,252 (41.6)</td></tr><tr><td> Total POPs</td><td>[EMPTY_CELL]</td><td>7,112,176 (33.0)</td></tr><tr><td> Hudson POPs</td><td>[EMPTY_CELL]</td><td>2,871,808 (40.4)b</td></tr><tr><td> Other</td><td>[EMPTY_CELL]</td><td>5,491,372 (25.5)</td></tr><tr><td> Clean</td><td>[EMPTY_CELL]</td><td>8,966,252 (41.6)</td></tr><tr><td colspan=\\\"3\\\">Age (years)</td></tr><tr><td> 65–74</td><td>[EMPTY_CELL]</td><td>2,771,652 (12.8)</td></tr><tr><td> 55–64</td><td>[EMPTY_CELL]</td><td>3,194,612 (14.8)</td></tr><tr><td> 45–54</td><td>[EMPTY_CELL]</td><td>4,485,828 (20.8)</td></tr><tr><td> 35–44</td><td>[EMPTY_CELL]</td><td>5,778,532 (26.8)</td></tr><tr><td> 25–34</td><td>[EMPTY_CELL]</td><td>5,339,176 (24.8)</td></tr><tr><td colspan=\\\"3\\\">Race</td></tr><tr><td> African American</td><td>[EMPTY_CELL]</td><td>1,487,372 (6.9)</td></tr><tr><td> Caucasian</td><td>[EMPTY_CELL]</td><td>20,082,428 (93.1)</td></tr><tr><td colspan=\\\"3\\\">Sex</td></tr><tr><td> Male</td><td>[EMPTY_CELL]</td><td>10,517,272 (48.8)</td></tr><tr><td> Female</td><td>[EMPTY_CELL]</td><td>11,052,528 (51.2)</td></tr><tr><td colspan=\\\"3\\\">Income (US$)</td></tr><tr><td> 31,107.00–33,708.50</td><td>[EMPTY_CELL]</td><td>4,340,736 (20.1)</td></tr><tr><td> 33,708.50–37,687.50</td><td>[EMPTY_CELL]</td><td>4,807,208 (22.3)</td></tr><tr><td> 37,687.50–42,500.00</td><td>[EMPTY_CELL]</td><td>5,662,812 (26.3)</td></tr><tr><td> 42,500.00–51,482.00 (reference)</td><td>[EMPTY_CELL]</td><td>6,759,044 (31.3)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 14, 42, 24]}, {\"cell\": \"<b>Diabetic subjects No. (%)</b>\", \"bbox\": [146, 5, 198, 24]}, {\"cell\": \"<b>Total person-yearsa No. (%)</b>\", \"bbox\": [274, 4, 333, 24]}, {\"cell\": \"Exposure\", \"bbox\": [1, 27, 29, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 27, 193, 37]}, {\"cell\": \"8,966,252 (41.6)\", \"bbox\": [281, 27, 329, 37]}, {\"cell\": \" Total POPs\", \"bbox\": [5, 36, 38, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 36, 193, 46]}, {\"cell\": \"7,112,176 (33.0)\", \"bbox\": [281, 36, 329, 46]}, {\"cell\": \" Hudson POPs\", \"bbox\": [5, 45, 45, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 44, 196, 55]}, {\"cell\": \"2,871,808 (40.4)b\", \"bbox\": [281, 44, 333, 55]}, {\"cell\": \" Other\", \"bbox\": [5, 54, 22, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 54, 193, 64]}, {\"cell\": \"5,491,372 (25.5)\", \"bbox\": [281, 54, 329, 64]}, {\"cell\": \" Clean\", \"bbox\": [5, 63, 23, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 63, 193, 73]}, {\"cell\": \"8,966,252 (41.6)\", \"bbox\": [281, 63, 329, 73]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 72, 35, 82]}, {\"cell\": \" 65–74\", \"bbox\": [5, 81, 25, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 81, 193, 91]}, {\"cell\": \"2,771,652 (12.8)\", \"bbox\": [281, 81, 329, 91]}, {\"cell\": \" 55–64\", \"bbox\": [5, 90, 25, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 90, 193, 100]}, {\"cell\": \"3,194,612 (14.8)\", \"bbox\": [281, 90, 329, 100]}, {\"cell\": \" 45–54\", \"bbox\": [5, 99, 25, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 99, 193, 109]}, {\"cell\": \"4,485,828 (20.8)\", \"bbox\": [281, 99, 329, 109]}, {\"cell\": \" 35–44\", \"bbox\": [5, 108, 25, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 108, 189, 118]}, {\"cell\": \"5,778,532 (26.8)\", \"bbox\": [281, 108, 329, 118]}, {\"cell\": \" 25–34\", \"bbox\": [5, 117, 25, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 117, 189, 127]}, {\"cell\": \"5,339,176 (24.8)\", \"bbox\": [281, 117, 329, 127]}, {\"cell\": \"Race\", \"bbox\": [1, 126, 17, 136]}, {\"cell\": \" African American\", \"bbox\": [5, 135, 57, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 135, 193, 145]}, {\"cell\": \"1,487,372 (6.9)\", \"bbox\": [281, 135, 326, 145]}, {\"cell\": \" Caucasian\", \"bbox\": [5, 144, 36, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 144, 193, 154]}, {\"cell\": \"20,082,428 (93.1)\", \"bbox\": [278, 144, 329, 154]}, {\"cell\": \"Sex\", \"bbox\": [1, 153, 13, 163]}, {\"cell\": \" Male\", \"bbox\": [5, 162, 22, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 162, 193, 172]}, {\"cell\": \"10,517,272 (48.8)\", \"bbox\": [278, 162, 329, 172]}, {\"cell\": \" Female\", \"bbox\": [5, 171, 27, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 171, 193, 181]}, {\"cell\": \"11,052,528 (51.2)\", \"bbox\": [278, 171, 329, 181]}, {\"cell\": \"Income (US$)\", \"bbox\": [1, 180, 41, 190]}, {\"cell\": \" 31,107.00–33,708.50\", \"bbox\": [5, 189, 67, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 189, 193, 199]}, {\"cell\": \"4,340,736 (20.1)\", \"bbox\": [281, 189, 329, 199]}, {\"cell\": \" 33,708.50–37,687.50\", \"bbox\": [5, 198, 67, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 198, 193, 208]}, {\"cell\": \"4,807,208 (22.3)\", \"bbox\": [281, 198, 329, 208]}, {\"cell\": \" 37,687.50–42,500.00\", \"bbox\": [5, 207, 67, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 207, 193, 217]}, {\"cell\": \"5,662,812 (26.3)\", \"bbox\": [281, 207, 329, 217]}, {\"cell\": \" 42,500.00–51,482.00 (reference)\", \"bbox\": [5, 216, 100, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 216, 193, 226]}, {\"cell\": \"6,759,044 (31.3)\", \"bbox\": [281, 216, 329, 226]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1797837_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}469{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b><i>Item</i></b></td><td><b><i>Abdominal plain X-rays (N=81)</i></b></td><td><b><i>Abdominal ultrasound (N=96)</i></b></td><td><b><i>X<sup>2</sup></i></b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Pneumatosis intestinalis</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>PVG</td><td>0</td><td>5(5.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Free intraperitoneal gas</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Dilatation of intestine</td><td>25(30.9)</td><td>16(16.7)</td><td>[EMPTY_CELL]</td><td>0.086</td></tr><tr><td>Spasticity of intestinal loop</td><td>2(2.5)</td><td>/</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Reduced inflation of intestine</td><td>25(30.9)</td><td>24(25.0)</td><td>[EMPTY_CELL]</td><td>0.462</td></tr><tr><td>Bowel wall thickening</td><td>23(28.4)</td><td>16(16.7)</td><td>[EMPTY_CELL]</td><td>0.148</td></tr><tr><td>Slowed intestinal peristalsis</td><td>/</td><td>40(41.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Disappearance of intestinal peristalsis</td><td>/</td><td>6(6.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Ascites</td><td>/</td><td>0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Item</i></b>\", \"bbox\": [9, 0, 27, 15]}, {\"cell\": \"<b><i>Abdominal plain X-rays (N=81)</i></b>\", \"bbox\": [174, 0, 264, 25]}, {\"cell\": \"<b><i>Abdominal ultrasound (N=96)</i></b>\", \"bbox\": [285, 0, 369, 25]}, {\"cell\": \"<b><i>X<sup>2</sup></i></b>\", \"bbox\": [399, 0, 410, 15]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [451, 4, 458, 12]}, {\"cell\": \"Pneumatosis intestinalis\", \"bbox\": [9, 30, 107, 41]}, {\"cell\": \"0\", \"bbox\": [216, 30, 222, 41]}, {\"cell\": \"0\", \"bbox\": [321, 30, 327, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PVG\", \"bbox\": [9, 42, 30, 53]}, {\"cell\": \"0\", \"bbox\": [216, 42, 222, 53]}, {\"cell\": \"5(5.2)\", \"bbox\": [312, 42, 336, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Free intraperitoneal gas\", \"bbox\": [9, 54, 105, 65]}, {\"cell\": \"0\", \"bbox\": [216, 54, 222, 65]}, {\"cell\": \"0\", \"bbox\": [321, 54, 327, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dilatation of intestine\", \"bbox\": [9, 66, 97, 77]}, {\"cell\": \"25(30.9)\", \"bbox\": [202, 66, 235, 77]}, {\"cell\": \"16(16.7)\", \"bbox\": [307, 66, 340, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 66, 416, 77]}, {\"cell\": \"0.086\", \"bbox\": [445, 66, 467, 77]}, {\"cell\": \"Spasticity of intestinal loop\", \"bbox\": [9, 78, 119, 89]}, {\"cell\": \"2(2.5)\", \"bbox\": [207, 78, 231, 89]}, {\"cell\": \"/\", \"bbox\": [320, 78, 328, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reduced inflation of intestine\", \"bbox\": [9, 87, 128, 101]}, {\"cell\": \"25(30.9)\", \"bbox\": [202, 87, 235, 101]}, {\"cell\": \"24(25.0)\", \"bbox\": [307, 87, 340, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 87, 416, 101]}, {\"cell\": \"0.462\", \"bbox\": [445, 87, 467, 101]}, {\"cell\": \"Bowel wall thickening\", \"bbox\": [9, 102, 100, 113]}, {\"cell\": \"23(28.4)\", \"bbox\": [202, 102, 235, 113]}, {\"cell\": \"16(16.7)\", \"bbox\": [307, 102, 340, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [394, 102, 416, 113]}, {\"cell\": \"0.148\", \"bbox\": [445, 102, 467, 113]}, {\"cell\": \"Slowed intestinal peristalsis\", \"bbox\": [9, 114, 122, 125]}, {\"cell\": \"/\", \"bbox\": [215, 114, 223, 125]}, {\"cell\": \"40(41.7)\", \"bbox\": [308, 114, 340, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Disappearance of intestinal peristalsis\", \"bbox\": [9, 126, 162, 137]}, {\"cell\": \"/\", \"bbox\": [215, 126, 223, 137]}, {\"cell\": \"6(6.3)\", \"bbox\": [312, 126, 336, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ascites\", \"bbox\": [9, 138, 39, 149]}, {\"cell\": \"/\", \"bbox\": [215, 138, 223, 149]}, {\"cell\": \"0\", \"bbox\": [321, 138, 327, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5103143_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}470{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Agent (μg/mouse)</b></td><td><b>Day of agent administration</b></td><td><b>Tumor weight (average ± SE) (mg)</b></td><td><b>Body weight (average ± SE) (g)</b></td><td><b>Heart weight (average ± SE) (mg)</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>491.1 ± 68.4**</td><td>ND</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>0**</td><td>ND</td><td>ND</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>384.8 ± 36.8**</td><td>15.9 ± 5.1**</td><td>99.8 ± 5.2*</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>19.8 ± 7.2**</td><td>18.9 ± 0.24**</td><td>114.5 ± 3.6*</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>197.7 ± 22.9**</td><td>18.5 ± 1.0</td><td>123.2 ± 5.8</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>2.5 ± 1.2**</td><td>19.6 ± 0.3</td><td>129.5 ± 3.5*</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>79.3 ± 13.2**</td><td>19.2 ± 0.2</td><td>116.6 ± 3.4*</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>377.9 ± 13.3*</td><td>16.1 ± 0.4*</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>188.6 ± 62.1*</td><td>19.2 ± 0.5*</td><td>ND</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Agent (μg/mouse)</b>\", \"bbox\": [1, 4, 65, 14]}, {\"cell\": \"<b>Day of agent administration</b>\", \"bbox\": [89, 4, 142, 23]}, {\"cell\": \"<b>Tumor weight (average ± SE) (mg)</b>\", \"bbox\": [165, 4, 235, 23]}, {\"cell\": \"<b>Body weight (average ± SE) (g)</b>\", \"bbox\": [259, 4, 356, 23]}, {\"cell\": \"<b>Heart weight (average ± SE) (mg)</b>\", \"bbox\": [383, 4, 482, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 166, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 43, 19, 53]}, {\"cell\": \"3\", \"bbox\": [89, 43, 95, 53]}, {\"cell\": \"491.1 ± 68.4**\", \"bbox\": [165, 43, 213, 53]}, {\"cell\": \"ND\", \"bbox\": [259, 43, 271, 53]}, {\"cell\": \"ND\", \"bbox\": [383, 43, 395, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 45, 65]}, {\"cell\": \"3\", \"bbox\": [89, 55, 95, 65]}, {\"cell\": \"0**\", \"bbox\": [165, 55, 177, 65]}, {\"cell\": \"ND\", \"bbox\": [259, 55, 271, 65]}, {\"cell\": \"ND\", \"bbox\": [383, 55, 395, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 67, 166, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 80, 19, 89]}, {\"cell\": \"3\", \"bbox\": [89, 80, 95, 89]}, {\"cell\": \"384.8 ± 36.8**\", \"bbox\": [165, 80, 213, 89]}, {\"cell\": \"15.9 ± 5.1**\", \"bbox\": [259, 80, 299, 89]}, {\"cell\": \"99.8 ± 5.2*\", \"bbox\": [383, 80, 420, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 92, 45, 101]}, {\"cell\": \"3\", \"bbox\": [89, 92, 95, 101]}, {\"cell\": \"19.8 ± 7.2**\", \"bbox\": [165, 92, 205, 101]}, {\"cell\": \"18.9 ± 0.24**\", \"bbox\": [259, 92, 303, 101]}, {\"cell\": \"114.5 ± 3.6*\", \"bbox\": [383, 92, 424, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 104, 166, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 116, 19, 125]}, {\"cell\": \"3\", \"bbox\": [89, 116, 95, 125]}, {\"cell\": \"197.7 ± 22.9**\", \"bbox\": [165, 116, 213, 125]}, {\"cell\": \"18.5 ± 1.0\", \"bbox\": [259, 116, 293, 125]}, {\"cell\": \"123.2 ± 5.8\", \"bbox\": [383, 116, 421, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 128, 45, 137]}, {\"cell\": \"3\", \"bbox\": [89, 128, 95, 137]}, {\"cell\": \"2.5 ± 1.2**\", \"bbox\": [165, 128, 202, 137]}, {\"cell\": \"19.6 ± 0.3\", \"bbox\": [259, 128, 293, 137]}, {\"cell\": \"129.5 ± 3.5*\", \"bbox\": [383, 128, 424, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 140, 45, 150]}, {\"cell\": \"3\", \"bbox\": [89, 140, 95, 150]}, {\"cell\": \"79.3 ± 13.2**\", \"bbox\": [165, 140, 209, 150]}, {\"cell\": \"19.2 ± 0.2\", \"bbox\": [259, 140, 293, 150]}, {\"cell\": \"116.6 ± 3.4*\", \"bbox\": [383, 140, 424, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 166, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 164, 19, 174]}, {\"cell\": \"10\", \"bbox\": [89, 164, 98, 174]}, {\"cell\": \"377.9 ± 13.3*\", \"bbox\": [165, 164, 210, 174]}, {\"cell\": \"16.1 ± 0.4*\", \"bbox\": [259, 164, 296, 174]}, {\"cell\": \"ND\", \"bbox\": [383, 164, 395, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 176, 45, 186]}, {\"cell\": \"10\", \"bbox\": [89, 176, 98, 186]}, {\"cell\": \"188.6 ± 62.1*\", \"bbox\": [165, 176, 210, 186]}, {\"cell\": \"19.2 ± 0.5*\", \"bbox\": [259, 176, 296, 186]}, {\"cell\": \"ND\", \"bbox\": [383, 176, 395, 186]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4769234_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}471{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Fraction(s)</b></td><td><b>Accession</b></td><td><b>Gene name</b></td><td><b>Description</b></td><td><b>MOWSE</b></td><td><b>Peptides Matched</b></td><td><b>Example Peptides</b></td></tr></thead><tbody><tr><td>3, 4</td><td>AAD25091</td><td><i>SAG1</i></td><td>Surface antigen SAG1*</td><td>[EMPTY_CELL]</td><td>9</td><td>K.EIPLESLLPGANDSWWSGVDIK.T; K.SVSSPEVYCTVQVEAER.A</td></tr><tr><td>3, 4</td><td>AAX38598</td><td><i>SRS2</i></td><td>Surface protein SRS2**</td><td>[EMPTY_CELL]</td><td>9</td><td>K.LLSEDDGLIVCNESDGEDECEK.N; R.LRPITVNPENNGVTLICGPDGK.A</td></tr><tr><td>3, 4</td><td>AAG28489</td><td><i>GRA2</i></td><td>GRA2 protein</td><td>[EMPTY_CELL]</td><td>4</td><td>R.GTVNGQPVGSGYSGYPR.G; R.ESMAAPEDLPGER.Q</td></tr><tr><td>3</td><td>AAF19184</td><td><i>MIC3</i></td><td>Microneme protein Nc-MIC3</td><td>[EMPTY_CELL]</td><td>5</td><td>K.NPMCYPTCEEMGGK.D; K.DAECVEDLNAGGSVR.C</td></tr><tr><td>3</td><td>P90661</td><td><i>DG1</i></td><td>GRA7***</td><td>[EMPTY_CELL]</td><td>2</td><td>K.LAVPVVGALTSYLVADR.V; R.VLPELTSAEEEGTESIPGK.K</td></tr><tr><td>4</td><td>AAN16380</td><td><i>NcMic11</i></td><td>Microneme protein NcMIC11</td><td>[EMPTY_CELL]</td><td>2</td><td>K.STAVEIFK.Q;K.AAIVEGVKPMLPK.L</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Fraction(s)</b>\", \"bbox\": [2, 4, 32, 22]}, {\"cell\": \"<b>Accession</b>\", \"bbox\": [38, 4, 74, 13]}, {\"cell\": \"<b>Gene name</b>\", \"bbox\": [86, 4, 107, 22]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [140, 4, 182, 13]}, {\"cell\": \"<b>MOWSE</b>\", \"bbox\": [207, 4, 236, 13]}, {\"cell\": \"<b>Peptides Matched</b>\", \"bbox\": [253, 4, 284, 22]}, {\"cell\": \"<b>Example Peptides</b>\", \"bbox\": [361, 4, 425, 13]}, {\"cell\": \"3, 4\", \"bbox\": [11, 26, 24, 36]}, {\"cell\": \"AAD25091\", \"bbox\": [38, 26, 74, 36]}, {\"cell\": \"<i>SAG1</i>\", \"bbox\": [88, 26, 106, 34]}, {\"cell\": \"Surface antigen SAG1*\", \"bbox\": [124, 26, 198, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 26, 230, 36]}, {\"cell\": \"9\", \"bbox\": [266, 26, 271, 36]}, {\"cell\": \"K.EIPLESLLPGANDSWWSGVDIK.T; K.SVSSPEVYCTVQVEAER.A\", \"bbox\": [302, 26, 483, 44]}, {\"cell\": \"3, 4\", \"bbox\": [11, 47, 24, 56]}, {\"cell\": \"AAX38598\", \"bbox\": [39, 47, 74, 56]}, {\"cell\": \"<i>SRS2</i>\", \"bbox\": [88, 47, 105, 55]}, {\"cell\": \"Surface protein SRS2**\", \"bbox\": [124, 47, 198, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 47, 228, 56]}, {\"cell\": \"9\", \"bbox\": [266, 47, 271, 56]}, {\"cell\": \"K.LLSEDDGLIVCNESDGEDECEK.N; R.LRPITVNPENNGVTLICGPDGK.A\", \"bbox\": [336, 47, 449, 65]}, {\"cell\": \"3, 4\", \"bbox\": [11, 68, 24, 77]}, {\"cell\": \"AAG28489\", \"bbox\": [39, 68, 74, 77]}, {\"cell\": \"<i>GRA2</i>\", \"bbox\": [87, 68, 106, 76]}, {\"cell\": \"GRA2 protein\", \"bbox\": [139, 68, 183, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 68, 228, 77]}, {\"cell\": \"4\", \"bbox\": [266, 68, 271, 77]}, {\"cell\": \"R.GTVNGQPVGSGYSGYPR.G; R.ESMAAPEDLPGER.Q\", \"bbox\": [314, 68, 472, 77]}, {\"cell\": \"3\", \"bbox\": [14, 81, 20, 91]}, {\"cell\": \"AAF19184\", \"bbox\": [39, 81, 73, 91]}, {\"cell\": \"<i>MIC3</i>\", \"bbox\": [88, 81, 105, 89]}, {\"cell\": \"Microneme protein Nc-MIC3\", \"bbox\": [122, 81, 200, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 81, 228, 91]}, {\"cell\": \"5\", \"bbox\": [266, 81, 271, 91]}, {\"cell\": \"K.NPMCYPTCEEMGGK.D; K.DAECVEDLNAGGSVR.C\", \"bbox\": [314, 81, 471, 91]}, {\"cell\": \"3\", \"bbox\": [14, 102, 20, 111]}, {\"cell\": \"P90661\", \"bbox\": [44, 102, 69, 111]}, {\"cell\": \"<i>DG1</i>\", \"bbox\": [89, 102, 104, 110]}, {\"cell\": \"GRA7***\", \"bbox\": [147, 102, 175, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 102, 228, 111]}, {\"cell\": \"2\", \"bbox\": [266, 102, 271, 111]}, {\"cell\": \"K.LAVPVVGALTSYLVADR.V; R.VLPELTSAEEEGTESIPGK.K\", \"bbox\": [308, 102, 477, 111]}, {\"cell\": \"4\", \"bbox\": [14, 115, 20, 125]}, {\"cell\": \"AAN16380\", \"bbox\": [38, 115, 74, 125]}, {\"cell\": \"<i>NcMic11</i>\", \"bbox\": [82, 116, 111, 123]}, {\"cell\": \"Microneme protein NcMIC11\", \"bbox\": [129, 115, 193, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 115, 228, 125]}, {\"cell\": \"2\", \"bbox\": [266, 115, 271, 125]}, {\"cell\": \"K.STAVEIFK.Q;K.AAIVEGVKPMLPK.L\", \"bbox\": [360, 115, 425, 134]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3167765_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}472{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Physician reported barriers to diagnosis</b></td><td><b>Physician reported barriers to successful treatment</b></td></tr></thead><tbody><tr><td>Doctors find diagnostic criteria confusing</td><td>[EMPTY_CELL]</td></tr><tr><td>Insufficient consultation time for history, examination, peak flow measurement</td><td>[EMPTY_CELL]</td></tr><tr><td>Organisation of care necessitates instant diagnosis (lack of continuity of care, leads to</td><td>[EMPTY_CELL]</td></tr><tr><td>Organisation of care necessitates instant diagnosis (lack of continuity of care, leads to episodic approach cash payment and fee for service discourage repeat visits)</td><td>[EMPTY_CELL]</td></tr><tr><td>Masking by respiratory tract infection and by oral bronchodilator syrup</td><td>[EMPTY_CELL]</td></tr><tr><td>Stigmatised diagnosis</td><td>[EMPTY_CELL]</td></tr><tr><td>High symptom tolerance in the community</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Physician reported barriers to diagnosis</b>\", \"bbox\": [4, 5, 159, 14]}, {\"cell\": \"<b>Physician reported barriers to successful treatment</b>\", \"bbox\": [253, 5, 453, 14]}, {\"cell\": \"Doctors find diagnostic criteria confusing\", \"bbox\": [4, 27, 144, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 27, 356, 36]}, {\"cell\": \"Insufficient consultation time for history, examination, peak flow measurement\", \"bbox\": [4, 37, 221, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 37, 349, 47]}, {\"cell\": \"Organisation of care necessitates instant diagnosis (lack of continuity of care, leads to\", \"bbox\": [4, 56, 245, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 56, 333, 66]}, {\"cell\": \"Organisation of care necessitates instant diagnosis (lack of continuity of care, leads to episodic approach cash payment and fee for service discourage repeat visits)\", \"bbox\": [4, 76, 245, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 76, 346, 86]}, {\"cell\": \"Masking by respiratory tract infection and by oral bronchodilator syrup\", \"bbox\": [4, 105, 244, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 105, 468, 114]}, {\"cell\": \"Stigmatised diagnosis\", \"bbox\": [4, 115, 76, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 115, 379, 125]}, {\"cell\": \"High symptom tolerance in the community\", \"bbox\": [4, 125, 150, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 125, 477, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 145, 373, 154]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2200659_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}473{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Viral protein</b></td><td><b>Peptide sequence</b></td><td><b>Number of peptides detected</b></td><td><b>Sequence coverage (%)</b></td></tr></thead><tbody><tr><td>Capsid C</td><td>[EMPTY_CELL]</td><td>1</td><td>11.00</td></tr><tr><td>Peptide pr</td><td>[EMPTY_CELL]</td><td>1</td><td>28.57</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Membrane protein</td><td>[EMPTY_CELL]</td><td>1</td><td>58.67</td></tr><tr><td>M</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Envelope protein</td><td>[EMPTY_CELL]</td><td>1</td><td>44.00</td></tr><tr><td>E</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Viral protein</b>\", \"bbox\": [1, 4, 41, 13]}, {\"cell\": \"<b>Peptide sequence</b>\", \"bbox\": [105, 4, 164, 13]}, {\"cell\": \"<b>Number of peptides detected</b>\", \"bbox\": [267, 4, 365, 13]}, {\"cell\": \"<b>Sequence coverage (%)</b>\", \"bbox\": [407, 4, 484, 13]}, {\"cell\": \"Capsid C\", \"bbox\": [1, 17, 31, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 17, 147, 27]}, {\"cell\": \"1\", \"bbox\": [267, 17, 273, 27]}, {\"cell\": \"11.00\", \"bbox\": [407, 17, 426, 27]}, {\"cell\": \"Peptide pr\", \"bbox\": [1, 31, 36, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 31, 218, 41]}, {\"cell\": \"1\", \"bbox\": [267, 31, 273, 41]}, {\"cell\": \"28.57\", \"bbox\": [407, 31, 426, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 45, 173, 55]}, {\"cell\": \"1\", \"bbox\": [267, 45, 273, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Membrane protein\", \"bbox\": [1, 59, 63, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 59, 137, 69]}, {\"cell\": \"1\", \"bbox\": [267, 59, 273, 69]}, {\"cell\": \"58.67\", \"bbox\": [407, 59, 426, 69]}, {\"cell\": \"M\", \"bbox\": [1, 73, 9, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 73, 193, 83]}, {\"cell\": \"1\", \"bbox\": [267, 73, 273, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 87, 225, 97]}, {\"cell\": \"1\", \"bbox\": [267, 87, 273, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 101, 150, 111]}, {\"cell\": \"1\", \"bbox\": [267, 101, 273, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 115, 147, 125]}, {\"cell\": \"1\", \"bbox\": [267, 115, 273, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 129, 191, 139]}, {\"cell\": \"2\", \"bbox\": [267, 129, 273, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 143, 159, 153]}, {\"cell\": \"2\", \"bbox\": [267, 143, 273, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 157, 208, 167]}, {\"cell\": \"2\", \"bbox\": [267, 157, 273, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 171, 155, 181]}, {\"cell\": \"1\", \"bbox\": [267, 171, 273, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Envelope protein\", \"bbox\": [1, 185, 57, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 185, 153, 195]}, {\"cell\": \"1\", \"bbox\": [267, 185, 273, 195]}, {\"cell\": \"44.00\", \"bbox\": [407, 185, 426, 195]}, {\"cell\": \"E\", \"bbox\": [1, 199, 6, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 199, 151, 209]}, {\"cell\": \"1\", \"bbox\": [267, 199, 273, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 213, 145, 223]}, {\"cell\": \"1\", \"bbox\": [267, 213, 273, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 227, 202, 237]}, {\"cell\": \"1\", \"bbox\": [267, 227, 273, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 241, 198, 251]}, {\"cell\": \"1\", \"bbox\": [267, 241, 273, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 255, 137, 265]}, {\"cell\": \"1\", \"bbox\": [267, 255, 273, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 269, 208, 279]}, {\"cell\": \"3\", \"bbox\": [267, 269, 273, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 283, 164, 293]}, {\"cell\": \"2\", \"bbox\": [267, 283, 273, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4647599_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}474{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>No-HIV(<i>n</i> = 100)</b></td><td><b>AHI(<i>n</i> = 110)</b></td><td><b>CHI(<i>n</i> = 110)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>32.2 ± 9.0</td><td>31.5 ± 8.6</td><td>33.8 ± 6.2</td></tr><tr><td>[EMPTY_CELL]</td><td>174.0 ± 5.1</td><td>173.9 ± 4.6</td><td>174.5 ± 6.0</td></tr><tr><td>[EMPTY_CELL]</td><td>65.9 ± 11.4</td><td>63.9 ± 8.5</td><td>66.1 ± 10.9</td></tr><tr><td>[EMPTY_CELL]</td><td>21.8 ± 3.6</td><td>21.1 ± 2.6</td><td>21.7 ± 3.4</td></tr><tr><td>[EMPTY_CELL]</td><td>38 (38.0)</td><td>29 (26.4)</td><td>37 (33.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>45 (45.0)</td><td>44 (40.0)</td><td>52 (47.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>120.0 (114.6–122.7)</td><td>114.5 (112.0–120.0)</td><td>120.0 (116.0–126.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>80.0 (79.0–84.2)</td><td>76.0 (72.0–78.2)</td><td>83.6 (79.1–88.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>17 (17.0)</td><td>10 (9.1)</td><td>19 (17.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>4.59 (4.21–5.01)</td><td>4.88 (4.47–5.27)</td><td>5.13 (4.76–5.53)<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>65.0 (38.5–106.0)<sup>b</sup></td><td>631.0 (133.0–1135.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>404.0 (281.5–531.5)<sup>b</sup></td><td>173.0 (113.3–243.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>4.83 (4.43–5.27)</td><td>4.66 (4.27–4.88)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>No-HIV(<i>n</i> = 100)</b>\", \"bbox\": [156, 4, 185, 22]}, {\"cell\": \"<b>AHI(<i>n</i> = 110)</b>\", \"bbox\": [285, 4, 315, 22]}, {\"cell\": \"<b>CHI(<i>n</i> = 110)</b>\", \"bbox\": [418, 4, 448, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 26, 38, 36]}, {\"cell\": \"32.2 ± 9.0\", \"bbox\": [156, 26, 187, 36]}, {\"cell\": \"31.5 ± 8.6\", \"bbox\": [285, 26, 317, 36]}, {\"cell\": \"33.8 ± 6.2\", \"bbox\": [418, 26, 450, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 40, 40, 50]}, {\"cell\": \"174.0 ± 5.1\", \"bbox\": [156, 40, 191, 50]}, {\"cell\": \"173.9 ± 4.6\", \"bbox\": [285, 40, 321, 50]}, {\"cell\": \"174.5 ± 6.0\", \"bbox\": [418, 40, 454, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 54, 40, 64]}, {\"cell\": \"65.9 ± 11.4\", \"bbox\": [156, 54, 191, 64]}, {\"cell\": \"63.9 ± 8.5\", \"bbox\": [285, 54, 317, 64]}, {\"cell\": \"66.1 ± 10.9\", \"bbox\": [418, 54, 454, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 66, 41, 78]}, {\"cell\": \"21.8 ± 3.6\", \"bbox\": [156, 68, 187, 78]}, {\"cell\": \"21.1 ± 2.6\", \"bbox\": [285, 68, 317, 78]}, {\"cell\": \"21.7 ± 3.4\", \"bbox\": [418, 68, 450, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 83, 92]}, {\"cell\": \"38 (38.0)\", \"bbox\": [156, 82, 185, 92]}, {\"cell\": \"29 (26.4)\", \"bbox\": [285, 82, 314, 92]}, {\"cell\": \"37 (33.6)\", \"bbox\": [418, 82, 447, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 79, 106]}, {\"cell\": \"45 (45.0)\", \"bbox\": [156, 96, 185, 106]}, {\"cell\": \"44 (40.0)\", \"bbox\": [285, 96, 314, 106]}, {\"cell\": \"52 (47.3)\", \"bbox\": [418, 96, 447, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 43, 120]}, {\"cell\": \"120.0 (114.6–122.7)\", \"bbox\": [156, 110, 218, 120]}, {\"cell\": \"114.5 (112.0–120.0)\", \"bbox\": [285, 110, 348, 120]}, {\"cell\": \"120.0 (116.0–126.1)\", \"bbox\": [418, 110, 481, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 45, 134]}, {\"cell\": \"80.0 (79.0–84.2)\", \"bbox\": [156, 124, 207, 134]}, {\"cell\": \"76.0 (72.0–78.2)\", \"bbox\": [285, 124, 336, 134]}, {\"cell\": \"83.6 (79.1–88.0)\", \"bbox\": [418, 124, 469, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 65, 148]}, {\"cell\": \"17 (17.0)\", \"bbox\": [156, 138, 185, 148]}, {\"cell\": \"10 (9.1)\", \"bbox\": [285, 138, 311, 148]}, {\"cell\": \"19 (17.3)\", \"bbox\": [418, 138, 447, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 47, 162]}, {\"cell\": \"4.59 (4.21–5.01)\", \"bbox\": [156, 152, 207, 162]}, {\"cell\": \"4.88 (4.47–5.27)\", \"bbox\": [285, 152, 336, 162]}, {\"cell\": \"5.13 (4.76–5.53)<sup>a</sup>\", \"bbox\": [418, 150, 472, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 166, 85, 176]}, {\"cell\": \"NA\", \"bbox\": [156, 166, 168, 176]}, {\"cell\": \"65.0 (38.5–106.0)<sup>b</sup>\", \"bbox\": [285, 164, 343, 176]}, {\"cell\": \"631.0 (133.0–1135.0)\", \"bbox\": [418, 166, 484, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 178, 89, 190]}, {\"cell\": \"NA\", \"bbox\": [156, 180, 168, 190]}, {\"cell\": \"404.0 (281.5–531.5)<sup>b</sup>\", \"bbox\": [285, 178, 351, 190]}, {\"cell\": \"173.0 (113.3–243.2)\", \"bbox\": [418, 180, 481, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 194, 58, 213]}, {\"cell\": \"NA\", \"bbox\": [156, 194, 168, 204]}, {\"cell\": \"4.83 (4.43–5.27)\", \"bbox\": [285, 194, 336, 204]}, {\"cell\": \"4.66 (4.27–4.88)\", \"bbox\": [418, 194, 469, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5012071_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}475{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Obstetric Factors</b></td><td rowspan=\\\"2\\\"><b>Total</b></td><td colspan=\\\"2\\\"><b>GBS culture</b></td><td rowspan=\\\"2\\\"><b>COR (95% C.I)</b></td><td rowspan=\\\"2\\\"><b><i>p</i>-value<sup>a</sup></b></td><td rowspan=\\\"2\\\"><b>AOR (95% C.I)</b></td><td rowspan=\\\"2\\\"><b><i>p</i>-value<sup>b</sup></b></td></tr><tr><td><b>GBS negativeN (%)</b></td><td><b>GBS positiveN (%)</b></td></tr></thead><tbody><tr><td colspan=\\\"8\\\">ANC visit</td></tr><tr><td> One times</td><td>6</td><td>[EMPTY_CELL]</td><td>1(16.7)</td><td>1.12 (0.13–10.1)</td><td>0.917</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Two times</td><td>37</td><td>[EMPTY_CELL]</td><td>5(13.5)</td><td>0.88 (0.31–2.51)</td><td>0.808</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Three times</td><td>99</td><td>[EMPTY_CELL]</td><td>14(14.1)</td><td>0.93 (0.45–1.92)</td><td>0.836</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Four times</td><td>139</td><td>[EMPTY_CELL]</td><td>21(14.6)</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"8\\\">Type of Gravida</td></tr><tr><td> Primigravida</td><td>88</td><td>[EMPTY_CELL]</td><td>14(15.9)</td><td>1.16 (0.58–2.35)</td><td>0.673</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Multigravida</td><td>193</td><td>[EMPTY_CELL]</td><td>27(14)</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"8\\\">Still birth</td></tr><tr><td> No</td><td>268</td><td>[EMPTY_CELL]</td><td>40(14.9)</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>13</td><td>[EMPTY_CELL]</td><td>1(7.7)</td><td>0.48 (0.06–3.76)</td><td>0.480</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"8\\\">Abortion</td></tr><tr><td> No</td><td>211</td><td>[EMPTY_CELL]</td><td>31(14.7)</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>70</td><td>[EMPTY_CELL]</td><td>10(14.3)</td><td>0.97 (0.45–2.09)</td><td>0.934</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"8\\\">HIV Infection</td></tr><tr><td> No</td><td>256</td><td>[EMPTY_CELL]</td><td>35 (13.7)</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>25</td><td>[EMPTY_CELL]</td><td>6 (24)</td><td>1.99 (0.75–5.34)</td><td>0.170</td><td>2.8 (0.97–8.11)</td><td>0.057</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Obstetric Factors</b>\", \"bbox\": [1, 4, 31, 22]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [75, 4, 93, 13]}, {\"cell\": \"<b>GBS culture</b>\", \"bbox\": [118, 4, 157, 13]}, {\"cell\": \"<b>COR (95% C.I)</b>\", \"bbox\": [254, 4, 300, 13]}, {\"cell\": \"<b><i>p</i>-value<sup>a</sup></b>\", \"bbox\": [331, 2, 358, 13]}, {\"cell\": \"<b>AOR (95% C.I)</b>\", \"bbox\": [384, 4, 430, 13]}, {\"cell\": \"<b><i>p</i>-value<sup>b</sup></b>\", \"bbox\": [456, 2, 484, 13]}, {\"cell\": \"<b>GBS negativeN (%)</b>\", \"bbox\": [118, 17, 162, 36]}, {\"cell\": \"<b>GBS positiveN (%)</b>\", \"bbox\": [188, 17, 229, 36]}, {\"cell\": \"ANC visit\", \"bbox\": [0, 39, 31, 49]}, {\"cell\": \" One times\", \"bbox\": [8, 53, 44, 63]}, {\"cell\": \"6\", \"bbox\": [75, 53, 81, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 53, 141, 63]}, {\"cell\": \"1(16.7)\", \"bbox\": [188, 53, 210, 63]}, {\"cell\": \"1.12 (0.13–10.1)\", \"bbox\": [254, 53, 305, 63]}, {\"cell\": \"0.917\", \"bbox\": [331, 53, 349, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Two times\", \"bbox\": [8, 67, 44, 77]}, {\"cell\": \"37\", \"bbox\": [75, 67, 85, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 67, 145, 77]}, {\"cell\": \"5(13.5)\", \"bbox\": [188, 67, 210, 77]}, {\"cell\": \"0.88 (0.31–2.51)\", \"bbox\": [254, 67, 305, 77]}, {\"cell\": \"0.808\", \"bbox\": [331, 67, 349, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Three times\", \"bbox\": [8, 81, 48, 91]}, {\"cell\": \"99\", \"bbox\": [75, 81, 85, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 81, 145, 91]}, {\"cell\": \"14(14.1)\", \"bbox\": [188, 81, 214, 91]}, {\"cell\": \"0.93 (0.45–1.92)\", \"bbox\": [254, 81, 305, 91]}, {\"cell\": \"0.836\", \"bbox\": [331, 81, 349, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Four times\", \"bbox\": [8, 95, 45, 105]}, {\"cell\": \"139\", \"bbox\": [75, 95, 89, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 95, 148, 105]}, {\"cell\": \"21(14.6)\", \"bbox\": [188, 95, 214, 105]}, {\"cell\": \"1\", \"bbox\": [254, 95, 260, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Type of Gravida\", \"bbox\": [0, 109, 53, 119]}, {\"cell\": \" Primigravida\", \"bbox\": [8, 123, 50, 133]}, {\"cell\": \"88\", \"bbox\": [75, 123, 85, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 123, 145, 133]}, {\"cell\": \"14(15.9)\", \"bbox\": [188, 123, 214, 133]}, {\"cell\": \"1.16 (0.58–2.35)\", \"bbox\": [254, 123, 305, 133]}, {\"cell\": \"0.673\", \"bbox\": [331, 123, 349, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Multigravida\", \"bbox\": [8, 137, 50, 147]}, {\"cell\": \"193\", \"bbox\": [75, 137, 89, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 137, 143, 147]}, {\"cell\": \"27(14)\", \"bbox\": [188, 137, 209, 147]}, {\"cell\": \"1\", \"bbox\": [254, 137, 260, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Still birth\", \"bbox\": [0, 151, 31, 161]}, {\"cell\": \" No\", \"bbox\": [8, 165, 20, 175]}, {\"cell\": \"268\", \"bbox\": [75, 165, 89, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 165, 148, 175]}, {\"cell\": \"40(14.9)\", \"bbox\": [188, 165, 214, 175]}, {\"cell\": \"1\", \"bbox\": [254, 165, 260, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 179, 21, 189]}, {\"cell\": \"13\", \"bbox\": [75, 179, 85, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 179, 145, 189]}, {\"cell\": \"1(7.7)\", \"bbox\": [188, 179, 207, 189]}, {\"cell\": \"0.48 (0.06–3.76)\", \"bbox\": [254, 179, 305, 189]}, {\"cell\": \"0.480\", \"bbox\": [331, 179, 349, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Abortion\", \"bbox\": [0, 193, 31, 203]}, {\"cell\": \" No\", \"bbox\": [8, 207, 20, 217]}, {\"cell\": \"211\", \"bbox\": [75, 207, 89, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 207, 148, 217]}, {\"cell\": \"31(14.7)\", \"bbox\": [188, 207, 214, 217]}, {\"cell\": \"1\", \"bbox\": [254, 207, 260, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 221, 21, 231]}, {\"cell\": \"70\", \"bbox\": [75, 221, 85, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 221, 145, 231]}, {\"cell\": \"10(14.3)\", \"bbox\": [188, 221, 214, 231]}, {\"cell\": \"0.97 (0.45–2.09)\", \"bbox\": [254, 221, 305, 231]}, {\"cell\": \"0.934\", \"bbox\": [331, 221, 349, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HIV Infection\", \"bbox\": [0, 235, 43, 245]}, {\"cell\": \" No\", \"bbox\": [8, 249, 20, 259]}, {\"cell\": \"256\", \"bbox\": [75, 249, 89, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 249, 148, 259]}, {\"cell\": \"35 (13.7)\", \"bbox\": [188, 249, 217, 259]}, {\"cell\": \"1\", \"bbox\": [254, 249, 260, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [384, 249, 390, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 263, 21, 273]}, {\"cell\": \"25\", \"bbox\": [75, 263, 85, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 263, 142, 273]}, {\"cell\": \"6 (24)\", \"bbox\": [188, 263, 208, 273]}, {\"cell\": \"1.99 (0.75–5.34)\", \"bbox\": [254, 263, 305, 273]}, {\"cell\": \"0.170\", \"bbox\": [331, 263, 349, 273]}, {\"cell\": \"2.8 (0.97–8.11)\", \"bbox\": [384, 263, 431, 273]}, {\"cell\": \"0.057\", \"bbox\": [461, 263, 480, 273]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5935928_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}476{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b><i>At the start of olmesartan therapy (baseline) (</i>n<i>=21 341)</i></b></td><td><b><i>16 weeks (</i>n<i>=21 341)</i></b></td></tr></thead><tbody><tr><td>Dose of olmesartan, mean±s.d. (mg per day)</td><td>18.2±7.0</td><td>[EMPTY_CELL]</td></tr><tr><td>0 (discontinuation)</td><td>0 (0.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>0<−5 (mainly 5)</td><td>502 (2.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>5<−10 (mainly 10)</td><td>5450 (25.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>10<−20 (mainly 20)</td><td>14 193 (66.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>20<−40 (mainly 40)</td><td>1196 (5.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>Receiving concomitant antihypertensive agents</td><td>8280 (38.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Calcium channel blocker</td><td>7245 (33.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>β-Blocker</td><td>1276 (6.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Diuretic</td><td>961 (4.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>α-Blocker</td><td>436 (2.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Angiotensin-converting enzyme inhibitor</td><td>309 (1.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Angiotensin II receptor blocker</td><td>160 (0.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Other</td><td>74 (0.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>No. of antihypertensive drugs (including olmesartan)</td><td>1.5±0.7</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>At the start of olmesartan therapy (baseline) (</i>n<i>=21 341)</i></b>\", \"bbox\": [137, 8, 184, 53]}, {\"cell\": \"<b><i>16 weeks (</i>n<i>=21 341)</i></b>\", \"bbox\": [197, 8, 239, 26]}, {\"cell\": \"Dose of olmesartan, mean±s.d. (mg per day)\", \"bbox\": [5, 61, 117, 79]}, {\"cell\": \"18.2±7.0\", \"bbox\": [144, 61, 178, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 61, 235, 70]}, {\"cell\": \"0 (discontinuation)\", \"bbox\": [5, 79, 71, 88]}, {\"cell\": \"0 (0.0)\", \"bbox\": [156, 79, 179, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 79, 236, 88]}, {\"cell\": \"0<−5 (mainly 5)\", \"bbox\": [5, 88, 68, 97]}, {\"cell\": \"502 (2.4)\", \"bbox\": [148, 88, 179, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 88, 236, 97]}, {\"cell\": \"5<−10 (mainly 10)\", \"bbox\": [5, 97, 76, 106]}, {\"cell\": \"5450 (25.5)\", \"bbox\": [143, 97, 183, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 97, 241, 106]}, {\"cell\": \"10<−20 (mainly 20)\", \"bbox\": [5, 106, 81, 115]}, {\"cell\": \"14 193 (66.5)\", \"bbox\": [138, 106, 183, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 106, 241, 115]}, {\"cell\": \"20<−40 (mainly 40)\", \"bbox\": [5, 115, 81, 124]}, {\"cell\": \"1196 (5.6)\", \"bbox\": [143, 115, 179, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 115, 236, 124]}, {\"cell\": \"Receiving concomitant antihypertensive agents\", \"bbox\": [5, 123, 89, 142]}, {\"cell\": \"8280 (38.8)\", \"bbox\": [143, 123, 183, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 123, 241, 133]}, {\"cell\": \"Calcium channel blocker\", \"bbox\": [5, 141, 92, 151]}, {\"cell\": \"7245 (33.9)\", \"bbox\": [143, 141, 183, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 141, 241, 151]}, {\"cell\": \"β-Blocker\", \"bbox\": [5, 150, 38, 160]}, {\"cell\": \"1276 (6.0)\", \"bbox\": [143, 150, 179, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 150, 236, 160]}, {\"cell\": \"Diuretic\", \"bbox\": [5, 159, 33, 169]}, {\"cell\": \"961 (4.5)\", \"bbox\": [148, 159, 179, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 159, 236, 169]}, {\"cell\": \"α-Blocker\", \"bbox\": [5, 168, 38, 178]}, {\"cell\": \"436 (2.0)\", \"bbox\": [148, 168, 179, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 168, 236, 178]}, {\"cell\": \"Angiotensin-converting enzyme inhibitor\", \"bbox\": [5, 177, 117, 196]}, {\"cell\": \"309 (1.4)\", \"bbox\": [148, 177, 179, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 177, 236, 187]}, {\"cell\": \"Angiotensin II receptor blocker\", \"bbox\": [5, 195, 114, 205]}, {\"cell\": \"160 (0.7)\", \"bbox\": [148, 195, 179, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 195, 236, 205]}, {\"cell\": \"Other\", \"bbox\": [5, 204, 26, 214]}, {\"cell\": \"74 (0.3)\", \"bbox\": [152, 204, 179, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 204, 236, 214]}, {\"cell\": \"No. of antihypertensive drugs (including olmesartan)\", \"bbox\": [5, 213, 109, 232]}, {\"cell\": \"1.5±0.7\", \"bbox\": [151, 213, 181, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 213, 236, 223]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3831295_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}477{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Beta</b></td><td><b>95 % CI</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Gender</td></tr><tr><td> Male vs. Female</td><td>0.2638</td><td>[EMPTY_CELL]</td><td><.0001</td></tr><tr><td colspan=\\\"4\\\">Age [years]</td></tr><tr><td> 18–39 vs. 40–64</td><td>0.2786</td><td>[EMPTY_CELL]</td><td><.0001</td></tr><tr><td> Over 65 vs. 40–64</td><td>0.1677</td><td>[EMPTY_CELL]</td><td><.0001</td></tr><tr><td colspan=\\\"4\\\">BMI</td></tr><tr><td> Obese vs. Normal weight</td><td>−0.2346</td><td>[EMPTY_CELL]</td><td><.0001</td></tr><tr><td colspan=\\\"4\\\">Ethnicity</td></tr><tr><td> Asian vs. White</td><td>−0.8009</td><td>[EMPTY_CELL]</td><td>0.0082</td></tr><tr><td colspan=\\\"4\\\">Smoking habits</td></tr><tr><td> Ex-Smoker vs. never-smoker</td><td>0.0991</td><td>[EMPTY_CELL]</td><td>0.0075</td></tr><tr><td colspan=\\\"4\\\">Education</td></tr><tr><td> Graduate/Post Graduate vs. Primary or middle school</td><td>0.3355</td><td>[EMPTY_CELL]</td><td><.0001</td></tr><tr><td> High school vs. Primary or middle school</td><td>0.2008</td><td>[EMPTY_CELL]</td><td><.0001</td></tr><tr><td colspan=\\\"4\\\">Allergy to Inhalants</td></tr><tr><td> Yes vs. no</td><td>−0.0942</td><td>[EMPTY_CELL]</td><td>0.0048</td></tr><tr><td colspan=\\\"4\\\">Psychological disturbances</td></tr><tr><td> Yes vs. no</td><td>−0.5340</td><td>[EMPTY_CELL]</td><td><.0001</td></tr><tr><td colspan=\\\"4\\\">Gastro-esophageal reflux</td></tr><tr><td> Yes vs. no</td><td>−0.1626</td><td>[EMPTY_CELL]</td><td>0.0007</td></tr><tr><td colspan=\\\"4\\\">Respiratory infections</td></tr><tr><td> Yes vs. no</td><td>−0.5875</td><td>[EMPTY_CELL]</td><td><.0001</td></tr><tr><td colspan=\\\"4\\\">Congestive heart failure</td></tr><tr><td> Yes vs. no</td><td>−0.6949</td><td>[EMPTY_CELL]</td><td><.0001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"<b>Beta</b>\", \"bbox\": [108, 4, 123, 13]}, {\"cell\": \"<b>95 % CI</b>\", \"bbox\": [143, 4, 169, 13]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [211, 4, 236, 13]}, {\"cell\": \"Gender\", \"bbox\": [1, 17, 26, 27]}, {\"cell\": \" Male vs. Female\", \"bbox\": [8, 31, 61, 41]}, {\"cell\": \"0.2638\", \"bbox\": [112, 31, 135, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 31, 190, 41]}, {\"cell\": \"<.0001\", \"bbox\": [212, 31, 236, 41]}, {\"cell\": \"Age [years]\", \"bbox\": [1, 45, 38, 55]}, {\"cell\": \" 18–39 vs. 40–64\", \"bbox\": [8, 59, 62, 69]}, {\"cell\": \"0.2786\", \"bbox\": [112, 59, 135, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 59, 194, 69]}, {\"cell\": \"<.0001\", \"bbox\": [212, 59, 236, 69]}, {\"cell\": \" Over 65 vs. 40–64\", \"bbox\": [8, 73, 67, 83]}, {\"cell\": \"0.1677\", \"bbox\": [112, 73, 135, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 73, 194, 83]}, {\"cell\": \"<.0001\", \"bbox\": [212, 73, 236, 83]}, {\"cell\": \"BMI\", \"bbox\": [1, 87, 14, 97]}, {\"cell\": \" Obese vs. Normal weight\", \"bbox\": [8, 101, 91, 111]}, {\"cell\": \"−0.2346\", \"bbox\": [108, 101, 135, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 101, 203, 111]}, {\"cell\": \"<.0001\", \"bbox\": [212, 101, 236, 111]}, {\"cell\": \"Ethnicity\", \"bbox\": [1, 115, 30, 125]}, {\"cell\": \" Asian vs. White\", \"bbox\": [8, 129, 59, 139]}, {\"cell\": \"−0.8009\", \"bbox\": [108, 129, 135, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 129, 199, 139]}, {\"cell\": \"0.0082\", \"bbox\": [213, 129, 236, 139]}, {\"cell\": \"Smoking habits\", \"bbox\": [1, 143, 52, 153]}, {\"cell\": \" Ex-Smoker vs. never-smoker\", \"bbox\": [8, 157, 100, 167]}, {\"cell\": \"0.0991\", \"bbox\": [112, 157, 135, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 157, 194, 167]}, {\"cell\": \"0.0075\", \"bbox\": [213, 157, 236, 167]}, {\"cell\": \"Education\", \"bbox\": [1, 171, 34, 181]}, {\"cell\": \" Graduate/Post Graduate vs. Primary or middle school\", \"bbox\": [8, 185, 98, 204]}, {\"cell\": \"0.3355\", \"bbox\": [112, 185, 135, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 185, 194, 195]}, {\"cell\": \"<.0001\", \"bbox\": [212, 185, 236, 195]}, {\"cell\": \" High school vs. Primary or middle school\", \"bbox\": [8, 208, 94, 227]}, {\"cell\": \"0.2008\", \"bbox\": [112, 208, 135, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 208, 194, 218]}, {\"cell\": \"<.0001\", \"bbox\": [212, 208, 236, 218]}, {\"cell\": \"Allergy to Inhalants\", \"bbox\": [1, 231, 64, 241]}, {\"cell\": \" Yes vs. no\", \"bbox\": [8, 245, 42, 255]}, {\"cell\": \"−0.0942\", \"bbox\": [108, 245, 135, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 245, 203, 255]}, {\"cell\": \"0.0048\", \"bbox\": [213, 245, 236, 255]}, {\"cell\": \"Psychological disturbances\", \"bbox\": [1, 259, 88, 269]}, {\"cell\": \" Yes vs. no\", \"bbox\": [8, 273, 42, 283]}, {\"cell\": \"−0.5340\", \"bbox\": [108, 273, 135, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 273, 203, 283]}, {\"cell\": \"<.0001\", \"bbox\": [212, 273, 236, 283]}, {\"cell\": \"Gastro-esophageal reflux\", \"bbox\": [1, 287, 82, 297]}, {\"cell\": \" Yes vs. no\", \"bbox\": [8, 301, 42, 311]}, {\"cell\": \"−0.1626\", \"bbox\": [108, 301, 135, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 301, 203, 311]}, {\"cell\": \"0.0007\", \"bbox\": [213, 301, 236, 311]}, {\"cell\": \"Respiratory infections\", \"bbox\": [1, 315, 71, 325]}, {\"cell\": \" Yes vs. no\", \"bbox\": [8, 329, 42, 339]}, {\"cell\": \"−0.5875\", \"bbox\": [108, 329, 135, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 329, 203, 339]}, {\"cell\": \"<.0001\", \"bbox\": [212, 329, 236, 339]}, {\"cell\": \"Congestive heart failure\", \"bbox\": [1, 343, 78, 353]}, {\"cell\": \" Yes vs. no\", \"bbox\": [8, 357, 42, 367]}, {\"cell\": \"−0.6949\", \"bbox\": [108, 357, 135, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 357, 203, 367]}, {\"cell\": \"<.0001\", \"bbox\": [212, 357, 236, 367]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4894377_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}478{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Comparison pair</b></td><td><b>Class 1</b></td><td><b>Class 2</b></td><td><b>Class 3</b></td><td><b>Class 4</b></td></tr></thead><tbody><tr><td rowspan=\\\"6\\\">Randomly report one alignment per read</td><td>[EMPTY_CELL]</td><td>96.25%</td><td>3.41%</td><td>0.34%</td><td>0.002%</td></tr><tr><td>SOAP2 vs.BWA (5,656,559)</td><td>[EMPTY_CELL]</td><td>3.40%</td><td>0.34%</td><td>0.54%</td></tr><tr><td>Bowtie vs. BWA (5,637,504)</td><td>[EMPTY_CELL]</td><td>3.66%</td><td>0.00002%</td><td>0.54%</td></tr><tr><td>SOAP2 vs. Novoalign (5,757,260)</td><td>[EMPTY_CELL]</td><td>7.32%</td><td>5.27%</td><td>2.28%</td></tr><tr><td>Bowtie vs. Novoalign (5,748,724)</td><td>[EMPTY_CELL]</td><td>7.26%</td><td>5.13%</td><td>2.47%</td></tr><tr><td>BWA vs. Novoalign (5,835,451)</td><td>[EMPTY_CELL]</td><td>7.24%</td><td>5.37%</td><td>2.19%</td></tr><tr><td>Suppress reads with multiple alignments</td><td>[EMPTY_CELL]</td><td>95.78%</td><td>0.00002%</td><td>4.22%</td><td>0.003%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>96.50%</td><td>0.0005%</td><td>2.75%</td><td>0.75%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>97.76%</td><td>0.00%</td><td>0.0004%</td><td>2.24%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>88.14%</td><td>4.27%</td><td>5.28%</td><td>2.31%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>84.72%</td><td>4.08%</td><td>5.02%</td><td>6.18%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>85.92%</td><td>4.11%</td><td>5.48%</td><td>4.49%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Comparison pair</b>\", \"bbox\": [161, 4, 220, 13]}, {\"cell\": \"<b>Class 1</b>\", \"bbox\": [291, 4, 317, 13]}, {\"cell\": \"<b>Class 2</b>\", \"bbox\": [343, 4, 369, 13]}, {\"cell\": \"<b>Class 3</b>\", \"bbox\": [401, 4, 427, 13]}, {\"cell\": \"<b>Class 4</b>\", \"bbox\": [458, 4, 484, 13]}, {\"cell\": \"Randomly report one alignment per read\", \"bbox\": [1, 17, 135, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 15, 260, 27]}, {\"cell\": \"96.25%\", \"bbox\": [292, 17, 317, 27]}, {\"cell\": \"3.41%\", \"bbox\": [343, 17, 364, 27]}, {\"cell\": \"0.34%\", \"bbox\": [401, 17, 421, 27]}, {\"cell\": \"0.002%\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"SOAP2 vs.BWA (5,656,559)\", \"bbox\": [161, 31, 246, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 31, 317, 41]}, {\"cell\": \"3.40%\", \"bbox\": [343, 31, 364, 41]}, {\"cell\": \"0.34%\", \"bbox\": [401, 31, 421, 41]}, {\"cell\": \"0.54%\", \"bbox\": [459, 31, 480, 41]}, {\"cell\": \"Bowtie vs. BWA (5,637,504)\", \"bbox\": [161, 45, 248, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 45, 317, 55]}, {\"cell\": \"3.66%\", \"bbox\": [343, 45, 364, 55]}, {\"cell\": \"0.00002%\", \"bbox\": [401, 45, 433, 55]}, {\"cell\": \"0.54%\", \"bbox\": [459, 45, 480, 55]}, {\"cell\": \"SOAP2 vs. Novoalign (5,757,260)\", \"bbox\": [161, 59, 265, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 59, 317, 69]}, {\"cell\": \"7.32%\", \"bbox\": [343, 59, 364, 69]}, {\"cell\": \"5.27%\", \"bbox\": [401, 59, 421, 69]}, {\"cell\": \"2.28%\", \"bbox\": [459, 59, 480, 69]}, {\"cell\": \"Bowtie vs. Novoalign (5,748,724)\", \"bbox\": [161, 73, 266, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 73, 317, 83]}, {\"cell\": \"7.26%\", \"bbox\": [343, 73, 364, 83]}, {\"cell\": \"5.13%\", \"bbox\": [401, 73, 421, 83]}, {\"cell\": \"2.47%\", \"bbox\": [459, 73, 480, 83]}, {\"cell\": \"BWA vs. Novoalign (5,835,451)\", \"bbox\": [161, 87, 259, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 87, 317, 97]}, {\"cell\": \"7.24%\", \"bbox\": [343, 87, 364, 97]}, {\"cell\": \"5.37%\", \"bbox\": [401, 87, 421, 97]}, {\"cell\": \"2.19%\", \"bbox\": [459, 87, 480, 97]}, {\"cell\": \"Suppress reads with multiple alignments\", \"bbox\": [1, 101, 133, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 101, 255, 111]}, {\"cell\": \"95.78%\", \"bbox\": [292, 101, 317, 111]}, {\"cell\": \"0.00002%\", \"bbox\": [343, 101, 375, 111]}, {\"cell\": \"4.22%\", \"bbox\": [401, 101, 421, 111]}, {\"cell\": \"0.003%\", \"bbox\": [459, 101, 484, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 115, 246, 125]}, {\"cell\": \"96.50%\", \"bbox\": [292, 115, 317, 125]}, {\"cell\": \"0.0005%\", \"bbox\": [343, 115, 371, 125]}, {\"cell\": \"2.75%\", \"bbox\": [401, 115, 421, 125]}, {\"cell\": \"0.75%\", \"bbox\": [459, 115, 480, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 129, 248, 139]}, {\"cell\": \"97.76%\", \"bbox\": [292, 129, 317, 139]}, {\"cell\": \"0.00%\", \"bbox\": [343, 129, 364, 139]}, {\"cell\": \"0.0004%\", \"bbox\": [401, 129, 429, 139]}, {\"cell\": \"2.24%\", \"bbox\": [459, 129, 480, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 143, 265, 153]}, {\"cell\": \"88.14%\", \"bbox\": [292, 143, 317, 153]}, {\"cell\": \"4.27%\", \"bbox\": [343, 143, 364, 153]}, {\"cell\": \"5.28%\", \"bbox\": [401, 143, 421, 153]}, {\"cell\": \"2.31%\", \"bbox\": [459, 143, 480, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 157, 266, 167]}, {\"cell\": \"84.72%\", \"bbox\": [292, 157, 317, 167]}, {\"cell\": \"4.08%\", \"bbox\": [343, 157, 364, 167]}, {\"cell\": \"5.02%\", \"bbox\": [401, 157, 421, 167]}, {\"cell\": \"6.18%\", \"bbox\": [459, 157, 480, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 171, 259, 181]}, {\"cell\": \"85.92%\", \"bbox\": [292, 171, 317, 181]}, {\"cell\": \"4.11%\", \"bbox\": [343, 171, 364, 181]}, {\"cell\": \"5.48%\", \"bbox\": [401, 171, 421, 181]}, {\"cell\": \"4.49%\", \"bbox\": [459, 171, 480, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3414812_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}479{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Group</b></td><td rowspan=\\\"2\\\"><b>Number of studies</b></td><td rowspan=\\\"2\\\"><b>Pooled RR (95% CI)</b></td><td colspan=\\\"2\\\"><b> Heterogeneity</b></td></tr><tr><td><b><i>I</i><sup>2</sup></b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Overall</td><td>11</td><td>[EMPTY_CELL]</td><td>73.0%</td><td><0.001</td></tr><tr><td>Study design</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Cross-sectional studies and case-control study</td><td>8</td><td>[EMPTY_CELL]</td><td>32.0%</td><td>0.169</td></tr><tr><td> Cohort studies</td><td>3</td><td>[EMPTY_CELL]</td><td>89.0%</td><td><0.001</td></tr><tr><td>Altitude</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <3500 MASL</td><td>2</td><td>[EMPTY_CELL]</td><td>25.0%</td><td>0.922</td></tr><tr><td> ≥3500 MASL</td><td>9</td><td>[EMPTY_CELL]</td><td>78.0%</td><td><0.001</td></tr><tr><td>Quality assessment</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> NOS/aNOS = 5</td><td>7</td><td>[EMPTY_CELL]</td><td>23.0%</td><td>0.253</td></tr><tr><td> NOS/aNOS = 6-7</td><td>4</td><td>[EMPTY_CELL]</td><td>87.0%</td><td><0.001</td></tr><tr><td>Type of participant</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Mountaineer</td><td>7</td><td>[EMPTY_CELL]</td><td>23.0%</td><td>0.253</td></tr><tr><td> Nonmountaineer</td><td>4</td><td>[EMPTY_CELL]</td><td>87.0%</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Group</b>\", \"bbox\": [2, 10, 28, 20]}, {\"cell\": \"<b>Number of studies</b>\", \"bbox\": [197, 10, 265, 20]}, {\"cell\": \"<b>Pooled RR (95% CI)</b>\", \"bbox\": [286, 10, 361, 20]}, {\"cell\": \"<b> Heterogeneity</b>\", \"bbox\": [427, 4, 479, 15]}, {\"cell\": \"<b><i>I</i><sup>2</sup></b>\", \"bbox\": [411, 14, 420, 30]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [479, 14, 486, 30]}, {\"cell\": \"Overall\", \"bbox\": [2, 31, 31, 42]}, {\"cell\": \"11\", \"bbox\": [227, 31, 235, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 31, 351, 42]}, {\"cell\": \"73.0%\", \"bbox\": [404, 31, 427, 42]}, {\"cell\": \"<0.001\", \"bbox\": [470, 28, 496, 44]}, {\"cell\": \"Study design\", \"bbox\": [2, 45, 50, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Cross-sectional studies and case-control study\", \"bbox\": [11, 58, 179, 69]}, {\"cell\": \"8\", \"bbox\": [228, 58, 234, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 58, 352, 69]}, {\"cell\": \"32.0%\", \"bbox\": [404, 58, 427, 69]}, {\"cell\": \"0.169\", \"bbox\": [473, 58, 493, 69]}, {\"cell\": \" Cohort studies\", \"bbox\": [11, 71, 66, 82]}, {\"cell\": \"3\", \"bbox\": [228, 71, 234, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 71, 352, 82]}, {\"cell\": \"89.0%\", \"bbox\": [404, 71, 427, 82]}, {\"cell\": \"<0.001\", \"bbox\": [470, 68, 495, 83]}, {\"cell\": \"Altitude\", \"bbox\": [2, 84, 34, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <3500 MASL\", \"bbox\": [11, 94, 61, 110]}, {\"cell\": \"2\", \"bbox\": [228, 98, 234, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 98, 351, 108]}, {\"cell\": \"25.0%\", \"bbox\": [404, 98, 427, 108]}, {\"cell\": \"0.922\", \"bbox\": [472, 98, 493, 108]}, {\"cell\": \" ≥3500 MASL\", \"bbox\": [11, 108, 61, 123]}, {\"cell\": \"9\", \"bbox\": [228, 111, 234, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 111, 352, 122]}, {\"cell\": \"78.0%\", \"bbox\": [404, 111, 427, 122]}, {\"cell\": \"<0.001\", \"bbox\": [470, 108, 495, 123]}, {\"cell\": \"Quality assessment\", \"bbox\": [2, 124, 73, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" NOS/aNOS = 5\", \"bbox\": [11, 137, 69, 148]}, {\"cell\": \"7\", \"bbox\": [228, 137, 234, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 137, 350, 148]}, {\"cell\": \"23.0%\", \"bbox\": [404, 137, 427, 148]}, {\"cell\": \"0.253\", \"bbox\": [472, 137, 493, 148]}, {\"cell\": \" NOS/aNOS = 6-7\", \"bbox\": [11, 151, 77, 161]}, {\"cell\": \"4\", \"bbox\": [228, 151, 234, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 151, 352, 161]}, {\"cell\": \"87.0%\", \"bbox\": [404, 151, 427, 161]}, {\"cell\": \"<0.001\", \"bbox\": [470, 147, 496, 163]}, {\"cell\": \"Type of participant\", \"bbox\": [2, 164, 73, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mountaineer\", \"bbox\": [11, 177, 60, 188]}, {\"cell\": \"7\", \"bbox\": [228, 177, 234, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [297, 177, 350, 188]}, {\"cell\": \"23.0%\", \"bbox\": [404, 177, 427, 188]}, {\"cell\": \"0.253\", \"bbox\": [472, 177, 493, 188]}, {\"cell\": \" Nonmountaineer\", \"bbox\": [11, 190, 75, 201]}, {\"cell\": \"4\", \"bbox\": [228, 190, 234, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 190, 352, 201]}, {\"cell\": \"87.0%\", \"bbox\": [404, 190, 427, 201]}, {\"cell\": \"<0.001\", \"bbox\": [470, 187, 496, 203]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5702408_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}480{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Reference No.</b></td><td><b>Name ofDataset</b></td><td><b>MSA-GA</b></td><td><b>MSA-GAw/prealign</b></td><td><b>ClUSTAL W</b></td><td><b> VDGA_ Decomp_2</b></td><td><b> VDGA_Decomp_3</b></td><td><b> VDGA_Decomp_4</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1idy</td><td>0.427</td><td>0.438</td><td>0.500</td><td>0.550</td><td>0.651</td><td><b>0.654</b></td></tr><tr><td>[EMPTY_CELL]</td><td>1tvxA</td><td>0.295</td><td>0.209</td><td>0.042</td><td><b>0.316</b></td><td>0.316</td><td>0.310</td></tr><tr><td>[EMPTY_CELL]</td><td>1uky</td><td>0.443</td><td>0.405</td><td>0.392</td><td>0.416</td><td>0.459</td><td><b>0.464</b></td></tr><tr><td>[EMPTY_CELL]</td><td>Kinase</td><td>0.295</td><td>0.488</td><td>0.479</td><td>0.531</td><td>0.545</td><td><b>0.548</b></td></tr><tr><td>[EMPTY_CELL]</td><td>1ped</td><td>0.501</td><td><b>0.687</b></td><td>0.592</td><td>0.443</td><td>0.482</td><td>0.451</td></tr><tr><td>[EMPTY_CELL]</td><td>2myr</td><td>0.212</td><td>0.302</td><td>0.296</td><td>0.347</td><td><b>0.359</b></td><td>0.282</td></tr><tr><td>[EMPTY_CELL]</td><td>1ycc</td><td>0.650</td><td>0.653</td><td>0.643</td><td>0.752</td><td><b>0.839</b></td><td>0.685</td></tr><tr><td>[EMPTY_CELL]</td><td>3cyr</td><td>0.772</td><td>0.789</td><td>0.767</td><td>0.797</td><td><b>0.898</b></td><td>0.797</td></tr><tr><td>[EMPTY_CELL]</td><td>1ad2</td><td>0.821</td><td>0.845</td><td>0.773</td><td><b>0.959</b></td><td>0.950</td><td>0.941</td></tr><tr><td>[EMPTY_CELL]</td><td>1ldg</td><td>0.895</td><td><b>0.922</b></td><td>0.880</td><td>0.914</td><td>0.946</td><td>0.903</td></tr><tr><td>[EMPTY_CELL]</td><td>1fieA</td><td>0.843</td><td><b>0.942</b></td><td>0.932</td><td>0.926</td><td>0.960</td><td>0.927</td></tr><tr><td>[EMPTY_CELL]</td><td>1sesA</td><td>0.620</td><td>0.913</td><td>0.913</td><td>0.917</td><td><b>0.962</b></td><td>0.923</td></tr><tr><td>[EMPTY_CELL]</td><td>1krn</td><td>0.908</td><td>0.895</td><td>0.895</td><td>0.942</td><td><b>0.960</b></td><td>0.892</td></tr><tr><td>[EMPTY_CELL]</td><td>2fxb</td><td>0.941</td><td><b>0.985</b></td><td><b>0.985</b></td><td>0.978</td><td>0.978</td><td>0.978</td></tr><tr><td>[EMPTY_CELL]</td><td>1amk</td><td>0.965</td><td>0.959</td><td>0.945</td><td>0.982</td><td><b>0.984</b></td><td>0.982</td></tr><tr><td>[EMPTY_CELL]</td><td>1ar5A</td><td>0.812</td><td>0.946</td><td>0.946</td><td>0.942</td><td>0.968</td><td><b>0.954</b></td></tr><tr><td>[EMPTY_CELL]</td><td>1gpb</td><td>0.868</td><td>0.948</td><td>0.947</td><td>0.976</td><td><b>0.984</b></td><td>0.983</td></tr><tr><td>[EMPTY_CELL]</td><td>1taq</td><td>0.525</td><td>0.826</td><td>0.826</td><td>0.938</td><td><b>0.959</b></td><td>0.944</td></tr><tr><td>[EMPTY_CELL]</td><td>2pia</td><td>0.761</td><td>0.768</td><td>0.766</td><td>0.847</td><td><b>0.850</b></td><td>0.839</td></tr><tr><td>[EMPTY_CELL]</td><td>1pamA</td><td>0.755</td><td>0.758</td><td>0.757</td><td>0.857</td><td><b>0.863</b></td><td>0.853</td></tr><tr><td>[EMPTY_CELL]</td><td>Kinase</td><td>0.58</td><td>0.619</td><td>0.619</td><td>0.870</td><td><b>0.890</b></td><td>0.887</td></tr><tr><td>[EMPTY_CELL]</td><td>1pamA</td><td>0.703</td><td>0.744</td><td>0.743</td><td><b>0.853</b></td><td>0.788</td><td>0.792</td></tr><tr><td>[EMPTY_CELL]</td><td>1dynA</td><td><b>0.038</b></td><td>0.034</td><td>0.000</td><td>0.029</td><td>0.033</td><td>0.031</td></tr><tr><td>[EMPTY_CELL]</td><td>Kinase2</td><td><b>0.71</b></td><td>0.635</td><td>0.630</td><td>0.330</td><td>0.542</td><td>0.478</td></tr><tr><td>[EMPTY_CELL]</td><td>2cba</td><td>0.422</td><td>0.621</td><td>0.628</td><td>0.839</td><td>0.835</td><td><b>0.846</b></td></tr><tr><td>[EMPTY_CELL]</td><td>S51</td><td>0.528</td><td>0.73</td><td>0.75</td><td>0.650</td><td>0.743</td><td><b>0.756</b></td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>0.627</td><td>0.695</td><td>0.679</td><td>0.727</td><td><b>0.744</b></td><td>0.735</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Reference No.</b>\", \"bbox\": [5, 4, 55, 13]}, {\"cell\": \"<b>Name ofDataset</b>\", \"bbox\": [68, 4, 100, 22]}, {\"cell\": \"<b>MSA-GA</b>\", \"bbox\": [113, 4, 143, 13]}, {\"cell\": \"<b>MSA-GAw/prealign</b>\", \"bbox\": [156, 4, 195, 22]}, {\"cell\": \"<b>ClUSTAL W</b>\", \"bbox\": [208, 4, 248, 13]}, {\"cell\": \"<b> VDGA_ Decomp_2</b>\", \"bbox\": [261, 4, 327, 13]}, {\"cell\": \"<b> VDGA_Decomp_3</b>\", \"bbox\": [340, 4, 404, 13]}, {\"cell\": \"<b> VDGA_Decomp_4</b>\", \"bbox\": [417, 4, 480, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 26, 40, 36]}, {\"cell\": \"1idy\", \"bbox\": [76, 26, 92, 36]}, {\"cell\": \"0.427\", \"bbox\": [119, 26, 137, 36]}, {\"cell\": \"0.438\", \"bbox\": [166, 26, 185, 36]}, {\"cell\": \"0.500\", \"bbox\": [219, 26, 238, 36]}, {\"cell\": \"0.550\", \"bbox\": [285, 26, 304, 36]}, {\"cell\": \"0.651\", \"bbox\": [363, 26, 381, 36]}, {\"cell\": \"<b>0.654</b>\", \"bbox\": [438, 26, 459, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1tvxA\", \"bbox\": [74, 39, 94, 49]}, {\"cell\": \"0.295\", \"bbox\": [119, 39, 137, 49]}, {\"cell\": \"0.209\", \"bbox\": [166, 39, 185, 49]}, {\"cell\": \"0.042\", \"bbox\": [219, 39, 238, 49]}, {\"cell\": \"<b>0.316</b>\", \"bbox\": [284, 39, 305, 49]}, {\"cell\": \"0.316\", \"bbox\": [363, 39, 381, 49]}, {\"cell\": \"0.310\", \"bbox\": [439, 39, 458, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1uky\", \"bbox\": [76, 53, 92, 62]}, {\"cell\": \"0.443\", \"bbox\": [119, 53, 137, 62]}, {\"cell\": \"0.405\", \"bbox\": [166, 53, 185, 62]}, {\"cell\": \"0.392\", \"bbox\": [219, 53, 238, 62]}, {\"cell\": \"0.416\", \"bbox\": [285, 53, 304, 62]}, {\"cell\": \"0.459\", \"bbox\": [363, 53, 381, 62]}, {\"cell\": \"<b>0.464</b>\", \"bbox\": [438, 53, 459, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kinase\", \"bbox\": [73, 66, 95, 75]}, {\"cell\": \"0.295\", \"bbox\": [119, 66, 137, 75]}, {\"cell\": \"0.488\", \"bbox\": [166, 66, 185, 75]}, {\"cell\": \"0.479\", \"bbox\": [219, 66, 238, 75]}, {\"cell\": \"0.531\", \"bbox\": [285, 66, 304, 75]}, {\"cell\": \"0.545\", \"bbox\": [363, 66, 381, 75]}, {\"cell\": \"<b>0.548</b>\", \"bbox\": [438, 66, 459, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1ped\", \"bbox\": [75, 79, 93, 88]}, {\"cell\": \"0.501\", \"bbox\": [119, 79, 137, 88]}, {\"cell\": \"<b>0.687</b>\", \"bbox\": [165, 79, 186, 88]}, {\"cell\": \"0.592\", \"bbox\": [219, 79, 238, 88]}, {\"cell\": \"0.443\", \"bbox\": [285, 79, 304, 88]}, {\"cell\": \"0.482\", \"bbox\": [363, 79, 381, 88]}, {\"cell\": \"0.451\", \"bbox\": [439, 79, 458, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2myr\", \"bbox\": [75, 92, 93, 102]}, {\"cell\": \"0.212\", \"bbox\": [119, 92, 137, 102]}, {\"cell\": \"0.302\", \"bbox\": [166, 92, 185, 102]}, {\"cell\": \"0.296\", \"bbox\": [219, 92, 238, 102]}, {\"cell\": \"0.347\", \"bbox\": [285, 92, 304, 102]}, {\"cell\": \"<b>0.359</b>\", \"bbox\": [362, 92, 382, 102]}, {\"cell\": \"0.282\", \"bbox\": [439, 92, 458, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1ycc\", \"bbox\": [76, 105, 92, 115]}, {\"cell\": \"0.650\", \"bbox\": [119, 105, 137, 115]}, {\"cell\": \"0.653\", \"bbox\": [166, 105, 185, 115]}, {\"cell\": \"0.643\", \"bbox\": [219, 105, 238, 115]}, {\"cell\": \"0.752\", \"bbox\": [285, 105, 304, 115]}, {\"cell\": \"<b>0.839</b>\", \"bbox\": [362, 105, 382, 115]}, {\"cell\": \"0.685\", \"bbox\": [439, 105, 458, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3cyr\", \"bbox\": [76, 119, 92, 128]}, {\"cell\": \"0.772\", \"bbox\": [119, 119, 137, 128]}, {\"cell\": \"0.789\", \"bbox\": [166, 119, 185, 128]}, {\"cell\": \"0.767\", \"bbox\": [219, 119, 238, 128]}, {\"cell\": \"0.797\", \"bbox\": [285, 119, 304, 128]}, {\"cell\": \"<b>0.898</b>\", \"bbox\": [362, 119, 382, 128]}, {\"cell\": \"0.797\", \"bbox\": [439, 119, 458, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1ad2\", \"bbox\": [75, 132, 93, 141]}, {\"cell\": \"0.821\", \"bbox\": [119, 132, 137, 141]}, {\"cell\": \"0.845\", \"bbox\": [166, 132, 185, 141]}, {\"cell\": \"0.773\", \"bbox\": [219, 132, 238, 141]}, {\"cell\": \"<b>0.959</b>\", \"bbox\": [284, 132, 305, 141]}, {\"cell\": \"0.950\", \"bbox\": [363, 132, 381, 141]}, {\"cell\": \"0.941\", \"bbox\": [439, 132, 458, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1ldg\", \"bbox\": [76, 145, 92, 154]}, {\"cell\": \"0.895\", \"bbox\": [119, 145, 137, 154]}, {\"cell\": \"<b>0.922</b>\", \"bbox\": [165, 145, 186, 154]}, {\"cell\": \"0.880\", \"bbox\": [219, 145, 238, 154]}, {\"cell\": \"0.914\", \"bbox\": [285, 145, 304, 154]}, {\"cell\": \"0.946\", \"bbox\": [363, 145, 381, 154]}, {\"cell\": \"0.903\", \"bbox\": [439, 145, 458, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1fieA\", \"bbox\": [75, 158, 93, 168]}, {\"cell\": \"0.843\", \"bbox\": [119, 158, 137, 168]}, {\"cell\": \"<b>0.942</b>\", \"bbox\": [165, 158, 186, 168]}, {\"cell\": \"0.932\", \"bbox\": [219, 158, 238, 168]}, {\"cell\": \"0.926\", \"bbox\": [285, 158, 304, 168]}, {\"cell\": \"0.960\", \"bbox\": [363, 158, 381, 168]}, {\"cell\": \"0.927\", \"bbox\": [439, 158, 458, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1sesA\", \"bbox\": [74, 171, 94, 181]}, {\"cell\": \"0.620\", \"bbox\": [119, 171, 137, 181]}, {\"cell\": \"0.913\", \"bbox\": [166, 171, 185, 181]}, {\"cell\": \"0.913\", \"bbox\": [219, 171, 238, 181]}, {\"cell\": \"0.917\", \"bbox\": [285, 171, 304, 181]}, {\"cell\": \"<b>0.962</b>\", \"bbox\": [362, 171, 382, 181]}, {\"cell\": \"0.923\", \"bbox\": [439, 171, 458, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1krn\", \"bbox\": [76, 185, 92, 194]}, {\"cell\": \"0.908\", \"bbox\": [119, 185, 137, 194]}, {\"cell\": \"0.895\", \"bbox\": [166, 185, 185, 194]}, {\"cell\": \"0.895\", \"bbox\": [219, 185, 238, 194]}, {\"cell\": \"0.942\", \"bbox\": [285, 185, 304, 194]}, {\"cell\": \"<b>0.960</b>\", \"bbox\": [362, 185, 382, 194]}, {\"cell\": \"0.892\", \"bbox\": [439, 185, 458, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2fxb\", \"bbox\": [76, 198, 92, 207]}, {\"cell\": \"0.941\", \"bbox\": [119, 198, 137, 207]}, {\"cell\": \"<b>0.985</b>\", \"bbox\": [165, 198, 186, 207]}, {\"cell\": \"<b>0.985</b>\", \"bbox\": [218, 198, 239, 207]}, {\"cell\": \"0.978\", \"bbox\": [285, 198, 304, 207]}, {\"cell\": \"0.978\", \"bbox\": [363, 198, 381, 207]}, {\"cell\": \"0.978\", \"bbox\": [439, 198, 458, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1amk\", \"bbox\": [74, 211, 94, 220]}, {\"cell\": \"0.965\", \"bbox\": [119, 211, 137, 220]}, {\"cell\": \"0.959\", \"bbox\": [166, 211, 185, 220]}, {\"cell\": \"0.945\", \"bbox\": [219, 211, 238, 220]}, {\"cell\": \"0.982\", \"bbox\": [285, 211, 304, 220]}, {\"cell\": \"<b>0.984</b>\", \"bbox\": [362, 211, 382, 220]}, {\"cell\": \"0.982\", \"bbox\": [439, 211, 458, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1ar5A\", \"bbox\": [74, 224, 94, 234]}, {\"cell\": \"0.812\", \"bbox\": [119, 224, 137, 234]}, {\"cell\": \"0.946\", \"bbox\": [166, 224, 185, 234]}, {\"cell\": \"0.946\", \"bbox\": [219, 224, 238, 234]}, {\"cell\": \"0.942\", \"bbox\": [285, 224, 304, 234]}, {\"cell\": \"0.968\", \"bbox\": [363, 224, 381, 234]}, {\"cell\": \"<b>0.954</b>\", \"bbox\": [438, 224, 459, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1gpb\", \"bbox\": [75, 237, 93, 247]}, {\"cell\": \"0.868\", \"bbox\": [119, 237, 137, 247]}, {\"cell\": \"0.948\", \"bbox\": [166, 237, 185, 247]}, {\"cell\": \"0.947\", \"bbox\": [219, 237, 238, 247]}, {\"cell\": \"0.976\", \"bbox\": [285, 237, 304, 247]}, {\"cell\": \"<b>0.984</b>\", \"bbox\": [362, 237, 382, 247]}, {\"cell\": \"0.983\", \"bbox\": [439, 237, 458, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1taq\", \"bbox\": [76, 251, 92, 260]}, {\"cell\": \"0.525\", \"bbox\": [119, 251, 137, 260]}, {\"cell\": \"0.826\", \"bbox\": [166, 251, 185, 260]}, {\"cell\": \"0.826\", \"bbox\": [219, 251, 238, 260]}, {\"cell\": \"0.938\", \"bbox\": [285, 251, 304, 260]}, {\"cell\": \"<b>0.959</b>\", \"bbox\": [362, 251, 382, 260]}, {\"cell\": \"0.944\", \"bbox\": [439, 251, 458, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 264, 40, 273]}, {\"cell\": \"2pia\", \"bbox\": [76, 264, 92, 273]}, {\"cell\": \"0.761\", \"bbox\": [119, 264, 137, 273]}, {\"cell\": \"0.768\", \"bbox\": [166, 264, 185, 273]}, {\"cell\": \"0.766\", \"bbox\": [219, 264, 238, 273]}, {\"cell\": \"0.847\", \"bbox\": [285, 264, 304, 273]}, {\"cell\": \"<b>0.850</b>\", \"bbox\": [362, 264, 382, 273]}, {\"cell\": \"0.839\", \"bbox\": [439, 264, 458, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1pamA\", \"bbox\": [72, 277, 96, 286]}, {\"cell\": \"0.755\", \"bbox\": [119, 277, 137, 286]}, {\"cell\": \"0.758\", \"bbox\": [166, 277, 185, 286]}, {\"cell\": \"0.757\", \"bbox\": [219, 277, 238, 286]}, {\"cell\": \"0.857\", \"bbox\": [285, 277, 304, 286]}, {\"cell\": \"<b>0.863</b>\", \"bbox\": [362, 277, 382, 286]}, {\"cell\": \"0.853\", \"bbox\": [439, 277, 458, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 290, 40, 300]}, {\"cell\": \"Kinase\", \"bbox\": [73, 290, 95, 300]}, {\"cell\": \"0.58\", \"bbox\": [121, 290, 135, 300]}, {\"cell\": \"0.619\", \"bbox\": [166, 290, 185, 300]}, {\"cell\": \"0.619\", \"bbox\": [219, 290, 238, 300]}, {\"cell\": \"0.870\", \"bbox\": [285, 290, 304, 300]}, {\"cell\": \"<b>0.890</b>\", \"bbox\": [362, 290, 382, 300]}, {\"cell\": \"0.887\", \"bbox\": [439, 290, 458, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1pamA\", \"bbox\": [72, 303, 96, 313]}, {\"cell\": \"0.703\", \"bbox\": [119, 303, 137, 313]}, {\"cell\": \"0.744\", \"bbox\": [166, 303, 185, 313]}, {\"cell\": \"0.743\", \"bbox\": [219, 303, 238, 313]}, {\"cell\": \"<b>0.853</b>\", \"bbox\": [284, 303, 305, 313]}, {\"cell\": \"0.788\", \"bbox\": [363, 303, 381, 313]}, {\"cell\": \"0.792\", \"bbox\": [439, 303, 458, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 316, 40, 326]}, {\"cell\": \"1dynA\", \"bbox\": [73, 316, 95, 326]}, {\"cell\": \"<b>0.038</b>\", \"bbox\": [118, 316, 138, 326]}, {\"cell\": \"0.034\", \"bbox\": [166, 316, 185, 326]}, {\"cell\": \"0.000\", \"bbox\": [219, 316, 238, 326]}, {\"cell\": \"0.029\", \"bbox\": [285, 316, 304, 326]}, {\"cell\": \"0.033\", \"bbox\": [363, 316, 381, 326]}, {\"cell\": \"0.031\", \"bbox\": [439, 316, 458, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kinase2\", \"bbox\": [71, 330, 97, 339]}, {\"cell\": \"<b>0.71</b>\", \"bbox\": [120, 330, 136, 339]}, {\"cell\": \"0.635\", \"bbox\": [166, 330, 185, 339]}, {\"cell\": \"0.630\", \"bbox\": [219, 330, 238, 339]}, {\"cell\": \"0.330\", \"bbox\": [285, 330, 304, 339]}, {\"cell\": \"0.542\", \"bbox\": [363, 330, 381, 339]}, {\"cell\": \"0.478\", \"bbox\": [439, 330, 458, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 343, 40, 352]}, {\"cell\": \"2cba\", \"bbox\": [75, 343, 93, 352]}, {\"cell\": \"0.422\", \"bbox\": [119, 343, 137, 352]}, {\"cell\": \"0.621\", \"bbox\": [166, 343, 185, 352]}, {\"cell\": \"0.628\", \"bbox\": [219, 343, 238, 352]}, {\"cell\": \"0.839\", \"bbox\": [285, 343, 304, 352]}, {\"cell\": \"0.835\", \"bbox\": [363, 343, 381, 352]}, {\"cell\": \"<b>0.846</b>\", \"bbox\": [438, 343, 459, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"S51\", \"bbox\": [77, 356, 91, 366]}, {\"cell\": \"0.528\", \"bbox\": [119, 356, 137, 366]}, {\"cell\": \"0.73\", \"bbox\": [168, 356, 183, 366]}, {\"cell\": \"0.75\", \"bbox\": [221, 356, 236, 366]}, {\"cell\": \"0.650\", \"bbox\": [285, 356, 304, 366]}, {\"cell\": \"0.743\", \"bbox\": [363, 356, 381, 366]}, {\"cell\": \"<b>0.756</b>\", \"bbox\": [438, 356, 459, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [28, 369, 76, 379]}, {\"cell\": \"0.627\", \"bbox\": [119, 369, 137, 379]}, {\"cell\": \"0.695\", \"bbox\": [166, 369, 185, 379]}, {\"cell\": \"0.679\", \"bbox\": [219, 369, 238, 379]}, {\"cell\": \"0.727\", \"bbox\": [285, 369, 304, 379]}, {\"cell\": \"<b>0.744</b>\", \"bbox\": [362, 369, 382, 379]}, {\"cell\": \"0.735\", \"bbox\": [439, 369, 458, 379]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3180391_017_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}481{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Author (Year)</b></td><td><b>Classen (2013) [20]</b></td><td><b>Schover (2012) [30]</b></td><td><b>Schover (2013) [31]</b></td><td><b>Wootten (2014) [32]</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>RCT</td><td>RCT</td><td>RCT</td><td>RCT</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>N</td><td>N</td><td>N</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>Cronbach’s α were reported</td><td>Cronbach’s α were reported</td><td>Cronbach’s α were reported</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>IIEF: validated in 32 languagesFSFI: reported convergent and discriminant validityBSI-18: incremental validityA-DAS: discriminant validity</td><td>FSFI: reported convergent and discriminantMSIQ: construct validityBSI-18: incremental validityQLACS: convergent validity</td><td>IIEF: validated in 32 languagesDASS-21: convergent validityKMS & DSC: discriminant validity</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr><tr><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Author (Year)</b>\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"<b>Classen (2013) [20]</b>\", \"bbox\": [128, 4, 164, 22]}, {\"cell\": \"<b>Schover (2012) [30]</b>\", \"bbox\": [240, 4, 276, 22]}, {\"cell\": \"<b>Schover (2013) [31]</b>\", \"bbox\": [311, 4, 346, 22]}, {\"cell\": \"<b>Wootten (2014) [32]</b>\", \"bbox\": [403, 4, 439, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 104, 45]}, {\"cell\": \"Y\", \"bbox\": [128, 26, 134, 36]}, {\"cell\": \"Y\", \"bbox\": [240, 26, 246, 36]}, {\"cell\": \"Y\", \"bbox\": [311, 26, 317, 36]}, {\"cell\": \"Y\", \"bbox\": [404, 26, 410, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 115, 77]}, {\"cell\": \"Y\", \"bbox\": [128, 49, 134, 59]}, {\"cell\": \"Y\", \"bbox\": [240, 49, 246, 59]}, {\"cell\": \"Y\", \"bbox\": [311, 49, 317, 59]}, {\"cell\": \"Y\", \"bbox\": [404, 49, 410, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 81, 25, 91]}, {\"cell\": \"RCT\", \"bbox\": [128, 81, 142, 91]}, {\"cell\": \"RCT\", \"bbox\": [240, 81, 255, 91]}, {\"cell\": \"RCT\", \"bbox\": [311, 81, 325, 91]}, {\"cell\": \"RCT\", \"bbox\": [404, 81, 418, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 118, 114]}, {\"cell\": \"Y\", \"bbox\": [128, 95, 134, 105]}, {\"cell\": \"Y\", \"bbox\": [240, 95, 246, 105]}, {\"cell\": \"Y\", \"bbox\": [311, 95, 317, 105]}, {\"cell\": \"Y\", \"bbox\": [404, 95, 410, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 118, 85, 137]}, {\"cell\": \"Y\", \"bbox\": [128, 118, 134, 128]}, {\"cell\": \"N\", \"bbox\": [240, 118, 248, 128]}, {\"cell\": \"N\", \"bbox\": [311, 118, 318, 128]}, {\"cell\": \"N\", \"bbox\": [404, 118, 411, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 124, 160]}, {\"cell\": \"Y\", \"bbox\": [128, 141, 134, 151]}, {\"cell\": \"Y\", \"bbox\": [240, 141, 246, 151]}, {\"cell\": \"Y\", \"bbox\": [311, 141, 317, 151]}, {\"cell\": \"Y\", \"bbox\": [404, 141, 410, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 155, 220, 165]}, {\"cell\": \"Cronbach’s α were reported\", \"bbox\": [240, 155, 288, 174]}, {\"cell\": \"Cronbach’s α were reported\", \"bbox\": [311, 155, 358, 174]}, {\"cell\": \"Cronbach’s α were reported\", \"bbox\": [403, 155, 451, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 178, 121, 206]}, {\"cell\": \"Y\", \"bbox\": [128, 178, 134, 188]}, {\"cell\": \"Y\", \"bbox\": [240, 178, 246, 188]}, {\"cell\": \"Y\", \"bbox\": [311, 178, 317, 188]}, {\"cell\": \"Y\", \"bbox\": [403, 178, 409, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 192, 236, 211]}, {\"cell\": \"IIEF: validated in 32 languagesFSFI: reported convergent and discriminant validityBSI-18: incremental validityA-DAS: discriminant validity\", \"bbox\": [240, 192, 306, 274]}, {\"cell\": \"FSFI: reported convergent and discriminantMSIQ: construct validityBSI-18: incremental validityQLACS: convergent validity\", \"bbox\": [311, 192, 399, 238]}, {\"cell\": \"IIEF: validated in 32 languagesDASS-21: convergent validityKMS & DSC: discriminant validity\", \"bbox\": [403, 192, 484, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 278, 120, 297]}, {\"cell\": \"Y\", \"bbox\": [128, 278, 134, 288]}, {\"cell\": \"Y\", \"bbox\": [240, 278, 246, 288]}, {\"cell\": \"Y\", \"bbox\": [311, 278, 317, 288]}, {\"cell\": \"Y\", \"bbox\": [403, 278, 409, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 301, 118, 329]}, {\"cell\": \"Y\", \"bbox\": [128, 301, 134, 311]}, {\"cell\": \"Y\", \"bbox\": [240, 301, 246, 311]}, {\"cell\": \"Y\", \"bbox\": [311, 301, 317, 311]}, {\"cell\": \"Y\", \"bbox\": [403, 301, 409, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 333, 95, 352]}, {\"cell\": \"Y\", \"bbox\": [128, 333, 134, 343]}, {\"cell\": \"Y\", \"bbox\": [240, 333, 246, 343]}, {\"cell\": \"Y\", \"bbox\": [311, 333, 317, 343]}, {\"cell\": \"Y\", \"bbox\": [403, 333, 409, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 356, 110, 384]}, {\"cell\": \"Y\", \"bbox\": [128, 356, 134, 366]}, {\"cell\": \"Y\", \"bbox\": [240, 356, 246, 366]}, {\"cell\": \"Y\", \"bbox\": [311, 356, 317, 366]}, {\"cell\": \"Y\", \"bbox\": [403, 356, 409, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 388, 93, 416]}, {\"cell\": \"Y\", \"bbox\": [128, 388, 134, 398]}, {\"cell\": \"Y\", \"bbox\": [240, 388, 246, 398]}, {\"cell\": \"Y\", \"bbox\": [311, 388, 317, 398]}, {\"cell\": \"Y\", \"bbox\": [403, 388, 409, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 420, 111, 439]}, {\"cell\": \"Y\", \"bbox\": [128, 420, 134, 430]}, {\"cell\": \"Y\", \"bbox\": [240, 420, 246, 430]}, {\"cell\": \"Y\", \"bbox\": [311, 420, 317, 430]}, {\"cell\": \"Y\", \"bbox\": [403, 420, 409, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 443, 86, 462]}, {\"cell\": \"Y\", \"bbox\": [128, 443, 134, 453]}, {\"cell\": \"Y\", \"bbox\": [240, 443, 246, 453]}, {\"cell\": \"Y\", \"bbox\": [311, 443, 317, 453]}, {\"cell\": \"Y\", \"bbox\": [403, 443, 409, 453]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 466, 118, 494]}, {\"cell\": \"Y\", \"bbox\": [128, 466, 134, 476]}, {\"cell\": \"Y\", \"bbox\": [240, 466, 246, 476]}, {\"cell\": \"Y\", \"bbox\": [311, 466, 317, 476]}, {\"cell\": \"Y\", \"bbox\": [403, 466, 409, 476]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5842558_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}482{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Parameters</b></td><td><b>Meaning</b></td><td><b>Prior distribution</b></td><td><b>References and/or explanation</b></td></tr></thead><tbody><tr><td><i>T</i></td><td>[EMPTY_CELL]</td><td>1 to 2,500</td><td>Between 0 and 65,000 years (estimation of the spread of modern humans in East Asia [5]), each generation representing 25 years</td></tr><tr><td><i>A</i></td><td>[EMPTY_CELL]</td><td>10 to 50</td><td>Numbers of HLA−A, −B and −DRB1 lineages vary between 10 and 40 in East Asian samples (from data listed in Additional file 1: Table S1)</td></tr><tr><td><i>N</i></td><td>[EMPTY_CELL]</td><td>0 to 5,000</td><td>According to the estimation of hunter-gatherer densities at the end of Paleolithic (0-0.4 individuals per <i>km</i><sup>2</sup> [18]</td></tr><tr><td><i>m</i></td><td>[EMPTY_CELL]</td><td>0.01 to 0.20</td><td>Between 1 % and 20 % of emigration per generation [18]</td></tr><tr><td><i>r</i></td><td>[EMPTY_CELL]</td><td>0.01 to 0.20</td><td>According to the estimation of growth rate for Paleolithic populations [18]</td></tr><tr><td><i>s</i></td><td>[EMPTY_CELL]</td><td>0 to 0.025</td><td>Selection rate higher than 2.5 % was tested by preliminary simulations but it never lead to the reproduction of observed data [40–42]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameters</b>\", \"bbox\": [1, 4, 36, 13]}, {\"cell\": \"<b>Meaning</b>\", \"bbox\": [45, 4, 75, 13]}, {\"cell\": \"<b>Prior distribution</b>\", \"bbox\": [194, 4, 249, 13]}, {\"cell\": \"<b>References and/or explanation</b>\", \"bbox\": [258, 4, 358, 13]}, {\"cell\": \"<i>T</i>\", \"bbox\": [1, 17, 6, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 17, 178, 36]}, {\"cell\": \"1 to 2,500\", \"bbox\": [194, 17, 228, 27]}, {\"cell\": \"Between 0 and 65,000 years (estimation of the spread of modern humans in East Asia [5]), each generation representing 25 years\", \"bbox\": [258, 17, 470, 36]}, {\"cell\": \"<i>A</i>\", \"bbox\": [1, 40, 7, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 40, 174, 59]}, {\"cell\": \"10 to 50\", \"bbox\": [194, 40, 223, 50]}, {\"cell\": \"Numbers of HLA−A, −B and −DRB1 lineages vary between 10 and 40 in East Asian samples (from data listed in Additional file 1: Table S1)\", \"bbox\": [258, 40, 478, 59]}, {\"cell\": \"<i>N</i>\", \"bbox\": [1, 63, 7, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 63, 185, 73]}, {\"cell\": \"0 to 5,000\", \"bbox\": [194, 63, 228, 73]}, {\"cell\": \"According to the estimation of hunter-gatherer densities at the end of Paleolithic (0-0.4 individuals per <i>km</i><sup>2</sup> [18]\", \"bbox\": [258, 63, 478, 82]}, {\"cell\": \"<i>m</i>\", \"bbox\": [1, 86, 9, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 86, 173, 96]}, {\"cell\": \"0.01 to 0.20\", \"bbox\": [194, 86, 233, 96]}, {\"cell\": \"Between 1 % and 20 % of emigration per generation [18]\", \"bbox\": [258, 86, 445, 96]}, {\"cell\": \"<i>r</i>\", \"bbox\": [1, 100, 5, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 100, 166, 110]}, {\"cell\": \"0.01 to 0.20\", \"bbox\": [194, 100, 233, 110]}, {\"cell\": \"According to the estimation of growth rate for Paleolithic populations [18]\", \"bbox\": [258, 100, 484, 110]}, {\"cell\": \"<i>s</i>\", \"bbox\": [1, 114, 5, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 114, 154, 124]}, {\"cell\": \"0 to 0.025\", \"bbox\": [194, 114, 228, 124]}, {\"cell\": \"Selection rate higher than 2.5 % was tested by preliminary simulations but it never lead to the reproduction of observed data [40–42]\", \"bbox\": [258, 114, 472, 133]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4632674_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}483{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Region</b></td><td><b>45°–90°</b></td><td><b>90° side</b></td><td><b>45° side</b></td></tr></thead><tbody><tr><td rowspan=\\\"10\\\">PP (KPa)</td><td>Total</td><td>−2.19 (−22.12–17.74)</td><td>−26.82 (−75.97–22.34)</td><td>[EMPTY_CELL]</td></tr><tr><td>M1</td><td>−44.35 (−86.53–−2.17)<sup><i>∗</i></sup></td><td>57.47 (3.49–111.45)<sup>#</sup></td><td>13.12 (−34.62–60.85)</td></tr><tr><td>M2</td><td>−54.07 (−106.29–−1.86)<sup><i>∗</i></sup></td><td>68.10 (1.86–134.34)<sup>#</sup></td><td>14.02 (−39.82–67.86)</td></tr><tr><td>M3</td><td>66.98 (8.65–125.32)<sup><i>∗</i></sup></td><td>−106.72 (−178.99–−34.46)<sup>#</sup></td><td>−39.74 (−100.35–20.87)</td></tr><tr><td>M4</td><td>1.56 (−20.48–23.59)</td><td>−14.96 (−51.61–21.69)</td><td>−13.41 (−38.34–11.52)</td></tr><tr><td>M5</td><td>−21.24 (−67.60–25.12)</td><td>−27.49 (−114.63–59.65)</td><td>−48.73 (−119.95–22.50)</td></tr><tr><td>M6</td><td>61.66 (17.70–105.63)<sup><i>∗</i></sup></td><td>−101.56 (−164.43–−38.70)<sup>#</sup></td><td>−39.90 (−99.01–19.21)</td></tr><tr><td>M7</td><td>2.46 (−18.13–23.05)</td><td>11.23 (−22.59–45.05)</td><td>13.69 (−7.60–34.97)</td></tr><tr><td>M8</td><td>−40.64 (−99.27–17.99)</td><td>46.57 (−3.56–96.70)</td><td>5.93 (−36.99–48.85)</td></tr><tr><td>M9</td><td>−3.06 (−49.56–43.45)</td><td>51.50 (−4.70–107.69)</td><td>48.44 (4.21–92.67)<sup>†</sup></td></tr><tr><td rowspan=\\\"10\\\">MF (%BW)</td><td>Total</td><td>6.81 (−12.37–25.98)</td><td>−33.08 (−62.18–−3.98)<sup>#</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>M1</td><td>−11.07 (−20.37–−1.76)<sup><i>∗</i></sup></td><td>15.90 (4.200–27.590)<sup>#</sup></td><td>4.83 (−9.07–18.72)</td></tr><tr><td>M2</td><td>−14.56 (−23.93–−5.19)<sup><i>∗</i></sup></td><td>11.73 (−.89–24.36)</td><td>−2.83 (−13.16–7.50)</td></tr><tr><td>M3</td><td>12.22 (5.68–18.76)<sup><i>∗</i></sup></td><td>−28.64 (−41.26–−16.03)<sup>#</sup></td><td>−16.42 (−24.18–−8.66)<sup>†</sup></td></tr><tr><td>M4</td><td>−2.78 (−7.79–2.22)</td><td>.174 (−5.80–6.15)</td><td>−2.61 (−6.89–1.68)</td></tr><tr><td>M5</td><td>−5.93 (−11.16–.69)</td><td>−.094 (−8.70–8.51)</td><td>−6.019 (−12.36–.32)</td></tr><tr><td>M6</td><td>9.30 (5.79–12.81)<sup><i>∗</i></sup></td><td>−17.07 (−23.27–−10.87)<sup>#</sup></td><td>−7.77 (−13.55–−1.99)<sup>†</sup></td></tr><tr><td>M7</td><td>−.12 (−4.60–4.36)</td><td>2.16 (−3.95–8.28)</td><td>2.04 (−2.64–6.73)</td></tr><tr><td>M8</td><td>−5.31 (−10.98–.373)</td><td>6.93 (2.34–11.52)<sup>#</sup></td><td>1.62 (−2.66–5.91)</td></tr><tr><td>M9</td><td>−1.09 (−6.08–3.91)</td><td>7.421 (.35–14.49)<sup>#</sup></td><td>6.334 (.14–12.53)<sup>†</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Region</b>\", \"bbox\": [80, 4, 108, 15]}, {\"cell\": \"<b>45°–90°</b>\", \"bbox\": [176, 0, 206, 15]}, {\"cell\": \"<b>90° side</b>\", \"bbox\": [309, 0, 339, 15]}, {\"cell\": \"<b>45° side</b>\", \"bbox\": [440, 0, 470, 15]}, {\"cell\": \"PP (KPa)\", \"bbox\": [2, 68, 38, 79]}, {\"cell\": \"Total\", \"bbox\": [84, 16, 104, 27]}, {\"cell\": \"−2.19 (−22.12–17.74)\", \"bbox\": [155, 13, 227, 28]}, {\"cell\": \"−26.82 (−75.97–22.34)\", \"bbox\": [283, 13, 365, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 13, 493, 28]}, {\"cell\": \"M1\", \"bbox\": [88, 28, 101, 38]}, {\"cell\": \"−44.35 (−86.53–−2.17)<sup><i>∗</i></sup>\", \"bbox\": [148, 24, 234, 40]}, {\"cell\": \"57.47 (3.49–111.45)<sup>#</sup>\", \"bbox\": [288, 25, 358, 40]}, {\"cell\": \"13.12 (−34.62–60.85)\", \"bbox\": [417, 25, 492, 40]}, {\"cell\": \"M2\", \"bbox\": [87, 40, 101, 50]}, {\"cell\": \"−54.07 (−106.29–−1.86)<sup><i>∗</i></sup>\", \"bbox\": [146, 35, 236, 52]}, {\"cell\": \"68.10 (1.86–134.34)<sup>#</sup>\", \"bbox\": [287, 36, 359, 52]}, {\"cell\": \"14.02 (−39.82–67.86)\", \"bbox\": [418, 36, 492, 52]}, {\"cell\": \"M3\", \"bbox\": [87, 51, 101, 62]}, {\"cell\": \"66.98 (8.65–125.32)<sup><i>∗</i></sup>\", \"bbox\": [154, 47, 228, 64]}, {\"cell\": \"−106.72 (−178.99–−34.46)<sup>#</sup>\", \"bbox\": [275, 48, 372, 64]}, {\"cell\": \"−39.74 (−100.35–20.87)\", \"bbox\": [412, 48, 497, 64]}, {\"cell\": \"M4\", \"bbox\": [87, 63, 101, 74]}, {\"cell\": \"1.56 (−20.48–23.59)\", \"bbox\": [155, 60, 227, 75]}, {\"cell\": \"−14.96 (−51.61–21.69)\", \"bbox\": [285, 60, 363, 75]}, {\"cell\": \"−13.41 (−38.34–11.52)\", \"bbox\": [416, 60, 493, 75]}, {\"cell\": \"M5\", \"bbox\": [87, 75, 101, 85]}, {\"cell\": \"−21.24 (−67.60–25.12)\", \"bbox\": [152, 72, 231, 87]}, {\"cell\": \"−27.49 (−114.63–59.65)\", \"bbox\": [282, 72, 365, 87]}, {\"cell\": \"−48.73 (−119.95–22.50)\", \"bbox\": [413, 72, 497, 87]}, {\"cell\": \"M6\", \"bbox\": [87, 87, 101, 97]}, {\"cell\": \"61.66 (17.70–105.63)<sup><i>∗</i></sup>\", \"bbox\": [153, 82, 229, 99]}, {\"cell\": \"−101.56 (−164.43–−38.70)<sup>#</sup>\", \"bbox\": [275, 83, 371, 99]}, {\"cell\": \"−39.90 (−99.01–19.21)\", \"bbox\": [416, 83, 494, 99]}, {\"cell\": \"M7\", \"bbox\": [87, 98, 101, 109]}, {\"cell\": \"2.46 (−18.13–23.05)\", \"bbox\": [156, 95, 226, 111]}, {\"cell\": \"11.23 (−22.59–45.05)\", \"bbox\": [286, 95, 361, 111]}, {\"cell\": \"13.69 (−7.60–34.97)\", \"bbox\": [419, 95, 490, 111]}, {\"cell\": \"M8\", \"bbox\": [87, 110, 101, 121]}, {\"cell\": \"−40.64 (−99.27–17.99)\", \"bbox\": [151, 107, 232, 122]}, {\"cell\": \"46.57 (−3.56–96.70)\", \"bbox\": [287, 107, 360, 122]}, {\"cell\": \"5.93 (−36.99–48.85)\", \"bbox\": [418, 107, 491, 122]}, {\"cell\": \"M9\", \"bbox\": [87, 122, 101, 133]}, {\"cell\": \"−3.06 (−49.56–43.45)\", \"bbox\": [152, 119, 230, 134]}, {\"cell\": \"51.50 (−4.70–107.69)\", \"bbox\": [287, 119, 361, 134]}, {\"cell\": \"48.44 (4.21–92.67)<sup>†</sup>\", \"bbox\": [419, 118, 490, 134]}, {\"cell\": \"MF (%BW)\", \"bbox\": [2, 186, 46, 197]}, {\"cell\": \"Total\", \"bbox\": [84, 134, 104, 145]}, {\"cell\": \"6.81 (−12.37–25.98)\", \"bbox\": [156, 131, 226, 146]}, {\"cell\": \"−33.08 (−62.18–−3.98)<sup>#</sup>\", \"bbox\": [281, 131, 366, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 130, 498, 146]}, {\"cell\": \"M1\", \"bbox\": [88, 146, 101, 156]}, {\"cell\": \"−11.07 (−20.37–−1.76)<sup><i>∗</i></sup>\", \"bbox\": [149, 141, 233, 158]}, {\"cell\": \"15.90 (4.200–27.590)<sup>#</sup>\", \"bbox\": [285, 143, 362, 158]}, {\"cell\": \"4.83 (−9.07–18.72)\", \"bbox\": [421, 143, 488, 158]}, {\"cell\": \"M2\", \"bbox\": [87, 157, 101, 168]}, {\"cell\": \"−14.56 (−23.93–−5.19)<sup><i>∗</i></sup>\", \"bbox\": [149, 153, 233, 170]}, {\"cell\": \"11.73 (−.89–24.36)\", \"bbox\": [291, 154, 357, 170]}, {\"cell\": \"−2.83 (−13.16–7.50)\", \"bbox\": [420, 154, 490, 170]}, {\"cell\": \"M3\", \"bbox\": [87, 169, 101, 180]}, {\"cell\": \"12.22 (5.68–18.76)<sup><i>∗</i></sup>\", \"bbox\": [157, 165, 225, 181]}, {\"cell\": \"−28.64 (−41.26–−16.03)<sup>#</sup>\", \"bbox\": [279, 166, 368, 181]}, {\"cell\": \"−16.42 (−24.18–−8.66)<sup>†</sup>\", \"bbox\": [412, 165, 497, 181]}, {\"cell\": \"M4\", \"bbox\": [87, 181, 101, 192]}, {\"cell\": \"−2.78 (−7.79–2.22)\", \"bbox\": [157, 178, 225, 193]}, {\"cell\": \".174 (−5.80–6.15)\", \"bbox\": [293, 178, 355, 193]}, {\"cell\": \"−2.61 (−6.89–1.68)\", \"bbox\": [421, 178, 489, 193]}, {\"cell\": \"M5\", \"bbox\": [87, 193, 101, 203]}, {\"cell\": \"−5.93 (−11.16–.69)\", \"bbox\": [158, 190, 224, 205]}, {\"cell\": \"−.094 (−8.70–8.51)\", \"bbox\": [289, 190, 358, 205]}, {\"cell\": \"−6.019 (−12.36–.32)\", \"bbox\": [419, 190, 491, 205]}, {\"cell\": \"M6\", \"bbox\": [87, 205, 101, 215]}, {\"cell\": \"9.30 (5.79–12.81)<sup><i>∗</i></sup>\", \"bbox\": [159, 200, 223, 217]}, {\"cell\": \"−17.07 (−23.27–−10.87)<sup>#</sup>\", \"bbox\": [280, 201, 367, 217]}, {\"cell\": \"−7.77 (−13.55–−1.99)<sup>†</sup>\", \"bbox\": [415, 200, 494, 217]}, {\"cell\": \"M7\", \"bbox\": [87, 216, 101, 227]}, {\"cell\": \"−.12 (−4.60–4.36)\", \"bbox\": [159, 213, 224, 228]}, {\"cell\": \"2.16 (−3.95–8.28)\", \"bbox\": [292, 213, 355, 228]}, {\"cell\": \"2.04 (−2.64–6.73)\", \"bbox\": [422, 213, 487, 228]}, {\"cell\": \"M8\", \"bbox\": [87, 228, 101, 239]}, {\"cell\": \"−5.31 (−10.98–.373)\", \"bbox\": [156, 225, 227, 240]}, {\"cell\": \"6.93 (2.34–11.52)<sup>#</sup>\", \"bbox\": [292, 225, 355, 240]}, {\"cell\": \"1.62 (−2.66–5.91)\", \"bbox\": [424, 225, 486, 240]}, {\"cell\": \"M9\", \"bbox\": [87, 240, 101, 250]}, {\"cell\": \"−1.09 (−6.08–3.91)\", \"bbox\": [157, 237, 225, 252]}, {\"cell\": \"7.421 (.35–14.49)<sup>#</sup>\", \"bbox\": [292, 237, 355, 252]}, {\"cell\": \"6.334 (.14–12.53)<sup>†</sup>\", \"bbox\": [423, 236, 486, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5941807_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}484{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Target groups per village</b></td><td><b>Data collection activities</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"5\\\">One group of caregivers and one group of iCCM-trained VHT members(Activities conducted separately with each group)</td><td>[EMPTY_CELL]</td></tr><tr><td>Health service venn diagram: identified all available health service providers and organisations within and beyond the village, including external sources of power or influence; explored the relative importance of various actors; mapped relationships that influence health service delivery and uptake</td></tr><tr><td>Historical matrices: explored changes pre and post-iCCM introduction in demographic factors, livelihood assets (human, financial, natural and physical capital) and available health services, gathering a detailed description of the dynamic, transitional nature of peri-urban environments</td></tr><tr><td>Health service delivery matrices: explored relationships influencing service delivery and uptake (covering iCCM implementation, process, results), gathering perceptions of various trends over time related to health service delivery and uptake</td></tr><tr><td>Problem and solution ranking: participants first identified and prioritised problems related to iCCM, and then discussed and ranked potential interventions to address the identified problems</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Community leaders</td><td>[EMPTY_CELL]</td></tr><tr><td>Non-iCCM VHT members</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Target groups per village</b>\", \"bbox\": [1, 4, 83, 13]}, {\"cell\": \"<b>Data collection activities</b>\", \"bbox\": [170, 4, 249, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 17, 403, 27]}, {\"cell\": \"One group of caregivers and one group of iCCM-trained VHT members(Activities conducted separately with each group)\", \"bbox\": [1, 31, 162, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 31, 484, 59]}, {\"cell\": \"Health service venn diagram: identified all available health service providers and organisations within and beyond the village, including external sources of power or influence; explored the relative importance of various actors; mapped relationships that influence health service delivery and uptake\", \"bbox\": [170, 63, 481, 100]}, {\"cell\": \"Historical matrices: explored changes pre and post-iCCM introduction in demographic factors, livelihood assets (human, financial, natural and physical capital) and available health services, gathering a detailed description of the dynamic, transitional nature of peri-urban environments\", \"bbox\": [170, 104, 477, 132]}, {\"cell\": \"Health service delivery matrices: explored relationships influencing service delivery and uptake (covering iCCM implementation, process, results), gathering perceptions of various trends over time related to health service delivery and uptake\", \"bbox\": [170, 136, 475, 164]}, {\"cell\": \"Problem and solution ranking: participants first identified and prioritised problems related to iCCM, and then discussed and ranked potential interventions to address the identified problems\", \"bbox\": [170, 168, 481, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 191, 247, 201]}, {\"cell\": \"Community leaders\", \"bbox\": [1, 205, 65, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 205, 484, 242]}, {\"cell\": \"Non-iCCM VHT members\", \"bbox\": [1, 246, 83, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 246, 453, 265]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5706411_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}485{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Stage</b></td><td><b>48 hr Post‐injection</b></td><td><b>96 hr Post‐injection</b></td></tr></thead><tbody><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>Secretion</td><td>−6.5% (<i>P</i> = 0.09)</td><td>−4.2% (<i>P</i> = 0.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>−4.3% (<i>P</i> = 0.5)</td><td>−3.7% (<i>P</i> = 0.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>−6.0% (<i>P</i> = 0.1)</td><td>−18.8% (<i>P</i> < 0.0001)</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>Secretion</td><td>+5.9% (<i>P</i> = 0.2)</td><td>−0.1% (<i>P</i> = 0.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>−1.8% (<i>P</i> = 0.06)</td><td>−8.5% (<i>P</i> = 0.006)</td></tr><tr><td>[EMPTY_CELL]</td><td>−9.0% (<i>P</i> = 0.004)</td><td>−10.6% (<i>P</i> = 0.009)</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>Secretion</td><td>No</td><td>Mid secretion</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>Yes round</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>Yes round</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Stage</b>\", \"bbox\": [158, 2, 179, 12]}, {\"cell\": \"<b>48 hr Post‐injection</b>\", \"bbox\": [266, 2, 333, 12]}, {\"cell\": \"<b>96 hr Post‐injection</b>\", \"bbox\": [391, 2, 458, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 15, 47, 25]}, {\"cell\": \"Secretion\", \"bbox\": [159, 15, 191, 25]}, {\"cell\": \"−6.5% (<i>P</i> = 0.09)\", \"bbox\": [267, 15, 328, 25]}, {\"cell\": \"−4.2% (<i>P</i> = 0.5)\", \"bbox\": [395, 15, 453, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 33, 212, 42]}, {\"cell\": \"−4.3% (<i>P</i> = 0.5)\", \"bbox\": [267, 33, 324, 42]}, {\"cell\": \"−3.7% (<i>P</i> = 0.2)\", \"bbox\": [395, 33, 453, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 49, 210, 59]}, {\"cell\": \"−6.0% (<i>P</i> = 0.1)\", \"bbox\": [267, 49, 324, 59]}, {\"cell\": \"−18.8% (<i>P</i> < 0.0001)\", \"bbox\": [391, 49, 465, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 67, 53, 77]}, {\"cell\": \"Secretion\", \"bbox\": [159, 67, 191, 77]}, {\"cell\": \"+5.9% (<i>P</i> = 0.2)\", \"bbox\": [267, 67, 323, 77]}, {\"cell\": \"−0.1% (<i>P</i> = 0.9)\", \"bbox\": [395, 67, 453, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 83, 212, 93]}, {\"cell\": \"−1.8% (<i>P</i> = 0.06)\", \"bbox\": [267, 83, 328, 93]}, {\"cell\": \"−8.5% (<i>P</i> = 0.006)\", \"bbox\": [395, 83, 461, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 101, 210, 111]}, {\"cell\": \"−9.0% (<i>P</i> = 0.004)\", \"bbox\": [267, 101, 332, 111]}, {\"cell\": \"−10.6% (<i>P</i> = 0.009)\", \"bbox\": [391, 101, 461, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 117, 104, 127]}, {\"cell\": \"Secretion\", \"bbox\": [159, 117, 191, 127]}, {\"cell\": \"No\", \"bbox\": [267, 117, 278, 127]}, {\"cell\": \"Mid secretion\", \"bbox\": [391, 117, 437, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 135, 212, 145]}, {\"cell\": \"No\", \"bbox\": [267, 135, 278, 145]}, {\"cell\": \"Yes round\", \"bbox\": [391, 135, 426, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 151, 210, 161]}, {\"cell\": \"No\", \"bbox\": [267, 151, 278, 161]}, {\"cell\": \"Yes round\", \"bbox\": [391, 151, 426, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5824403_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}486{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Univariate</b></td><td colspan=\\\"2\\\"><b>Multivariate</b></td></tr><tr><td><b>HR (95% CI)</b></td><td><b><i>p</i>-value</b></td><td><b>HR (95% CI)</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>Tumor size (cm)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <5</td><td>Ref</td><td>[EMPTY_CELL]</td><td>Ref</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥5</td><td>1.78(1.05-3)</td><td>[EMPTY_CELL]</td><td>1.83(1.06-3.17)</td><td>0.031</td></tr><tr><td>PVTT</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>Ref</td><td>[EMPTY_CELL]</td><td>Ref</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>2.25(1.36-3.73)</td><td>[EMPTY_CELL]</td><td>1.31(0.63-2.72)</td><td>0.472</td></tr><tr><td>Extrahepatic metastasis</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>Ref</td><td>[EMPTY_CELL]</td><td>Ref</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>2.09(1.22-3.58)</td><td>[EMPTY_CELL]</td><td>0.94(0.43-2.05)</td><td>0.881</td></tr><tr><td>Duration of sorafenib treatment</td><td>0.9(0.87-0.93)</td><td>[EMPTY_CELL]</td><td>0.9(0.87-0.93)</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Univariate</b>\", \"bbox\": [177, 6, 224, 16]}, {\"cell\": \"<b>Multivariate</b>\", \"bbox\": [371, 6, 427, 16]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [121, 22, 180, 33]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [233, 22, 267, 33]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [320, 22, 379, 33]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [432, 22, 465, 33]}, {\"cell\": \"Tumor size (cm)\", \"bbox\": [3, 37, 72, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <5\", \"bbox\": [13, 54, 26, 69]}, {\"cell\": \"Ref\", \"bbox\": [142, 54, 159, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [341, 54, 358, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥5\", \"bbox\": [13, 71, 26, 86]}, {\"cell\": \"1.78(1.05-3)\", \"bbox\": [125, 71, 177, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [238, 71, 262, 86]}, {\"cell\": \"1.83(1.06-3.17)\", \"bbox\": [317, 71, 382, 86]}, {\"cell\": \"0.031\", \"bbox\": [437, 71, 461, 86]}, {\"cell\": \"PVTT\", \"bbox\": [3, 87, 30, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [13, 104, 28, 120]}, {\"cell\": \"Ref\", \"bbox\": [142, 104, 159, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [341, 104, 358, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [13, 125, 30, 134]}, {\"cell\": \"2.25(1.36-3.73)\", \"bbox\": [118, 121, 183, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [238, 121, 262, 136]}, {\"cell\": \"1.31(0.63-2.72)\", \"bbox\": [317, 121, 382, 136]}, {\"cell\": \"0.472\", \"bbox\": [437, 121, 461, 136]}, {\"cell\": \"Extrahepatic metastasis\", \"bbox\": [3, 138, 56, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [13, 167, 28, 182]}, {\"cell\": \"Ref\", \"bbox\": [142, 167, 159, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [341, 167, 358, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [13, 188, 30, 196]}, {\"cell\": \"2.09(1.22-3.58)\", \"bbox\": [118, 184, 183, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [238, 184, 262, 199]}, {\"cell\": \"0.94(0.43-2.05)\", \"bbox\": [317, 184, 382, 199]}, {\"cell\": \"0.881\", \"bbox\": [437, 184, 461, 199]}, {\"cell\": \"Duration of sorafenib treatment\", \"bbox\": [3, 201, 92, 228]}, {\"cell\": \"0.9(0.87-0.93)\", \"bbox\": [121, 207, 180, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 207, 265, 222]}, {\"cell\": \"0.9(0.87-0.93)\", \"bbox\": [320, 207, 379, 222]}, {\"cell\": \"<0.001\", \"bbox\": [434, 207, 464, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5347807_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}487{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Segment</b></td><td><b>Protein Encoding</b></td><td><b>G+C Content (%)</b></td><td><b>ORF Length (bp)</b></td><td><b>Predicted Protein Length (aa)</b></td><td><b>% Pairwise Identity with CORV (nt/aa)</b></td></tr></thead><tbody><tr><td>1</td><td>VP1 (Pol)</td><td>40.8</td><td>3873</td><td>1290</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>VP2 (T2)</td><td>41.8</td><td>2850</td><td>949</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>VP3 (OC1)</td><td>42.2</td><td>2217</td><td>738</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>NS1 (TuP)</td><td>48.0</td><td>1770</td><td>589</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>VP5 (OC2)</td><td>45.3</td><td>1584</td><td>527</td><td>[EMPTY_CELL]</td></tr><tr><td>6</td><td>VP4 (Cap)</td><td>44.4</td><td>1932</td><td>643</td><td>[EMPTY_CELL]</td></tr><tr><td>7</td><td>NS2 (ViP)</td><td>46.2</td><td>1116</td><td>371</td><td>[EMPTY_CELL]</td></tr><tr><td>8</td><td>VP7 (T13)</td><td>46.8</td><td>1065</td><td>352</td><td>[EMPTY_CELL]</td></tr><tr><td>9</td><td>VP6 (Hel)/NS4</td><td>46.0</td><td>1035</td><td>344</td><td>[EMPTY_CELL]</td></tr><tr><td>10</td><td>NS3/NS3a</td><td>46.7</td><td>717</td><td>238</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Segment</b>\", \"bbox\": [9, 21, 46, 32]}, {\"cell\": \"<b>Protein Encoding</b>\", \"bbox\": [66, 16, 107, 38]}, {\"cell\": \"<b>G+C Content (%)</b>\", \"bbox\": [125, 16, 182, 38]}, {\"cell\": \"<b>ORF Length (bp)</b>\", \"bbox\": [194, 16, 246, 38]}, {\"cell\": \"<b>Predicted Protein Length (aa)</b>\", \"bbox\": [261, 16, 334, 38]}, {\"cell\": \"<b>% Pairwise Identity with CORV (nt/aa)</b>\", \"bbox\": [348, 16, 430, 38]}, {\"cell\": \"1\", \"bbox\": [24, 43, 31, 54]}, {\"cell\": \"VP1 (Pol)\", \"bbox\": [67, 43, 107, 54]}, {\"cell\": \"40.8\", \"bbox\": [145, 43, 162, 54]}, {\"cell\": \"3873\", \"bbox\": [210, 43, 230, 54]}, {\"cell\": \"1290\", \"bbox\": [287, 43, 307, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 43, 408, 54]}, {\"cell\": \"2\", \"bbox\": [24, 54, 31, 65]}, {\"cell\": \"VP2 (T2)\", \"bbox\": [69, 54, 105, 65]}, {\"cell\": \"41.8\", \"bbox\": [145, 54, 162, 65]}, {\"cell\": \"2850\", \"bbox\": [210, 54, 230, 65]}, {\"cell\": \"949\", \"bbox\": [289, 54, 305, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 54, 408, 65]}, {\"cell\": \"3\", \"bbox\": [24, 65, 31, 76]}, {\"cell\": \"VP3 (OC1)\", \"bbox\": [65, 65, 109, 76]}, {\"cell\": \"42.2\", \"bbox\": [145, 65, 162, 76]}, {\"cell\": \"2217\", \"bbox\": [210, 65, 230, 76]}, {\"cell\": \"738\", \"bbox\": [289, 65, 305, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 65, 408, 76]}, {\"cell\": \"4\", \"bbox\": [24, 76, 31, 87]}, {\"cell\": \"NS1 (TuP)\", \"bbox\": [66, 76, 108, 87]}, {\"cell\": \"48.0\", \"bbox\": [145, 76, 162, 87]}, {\"cell\": \"1770\", \"bbox\": [210, 76, 230, 87]}, {\"cell\": \"589\", \"bbox\": [289, 76, 305, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 76, 408, 87]}, {\"cell\": \"5\", \"bbox\": [24, 87, 31, 98]}, {\"cell\": \"VP5 (OC2)\", \"bbox\": [65, 87, 109, 98]}, {\"cell\": \"45.3\", \"bbox\": [145, 87, 162, 98]}, {\"cell\": \"1584\", \"bbox\": [210, 87, 230, 98]}, {\"cell\": \"527\", \"bbox\": [289, 87, 305, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 87, 408, 98]}, {\"cell\": \"6\", \"bbox\": [24, 98, 31, 109]}, {\"cell\": \"VP4 (Cap)\", \"bbox\": [65, 98, 108, 109]}, {\"cell\": \"44.4\", \"bbox\": [145, 98, 162, 109]}, {\"cell\": \"1932\", \"bbox\": [210, 98, 230, 109]}, {\"cell\": \"643\", \"bbox\": [289, 98, 305, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 98, 408, 109]}, {\"cell\": \"7\", \"bbox\": [24, 109, 31, 120]}, {\"cell\": \"NS2 (ViP)\", \"bbox\": [66, 109, 107, 120]}, {\"cell\": \"46.2\", \"bbox\": [145, 109, 162, 120]}, {\"cell\": \"1116\", \"bbox\": [210, 109, 230, 120]}, {\"cell\": \"371\", \"bbox\": [289, 109, 305, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 109, 408, 120]}, {\"cell\": \"8\", \"bbox\": [24, 120, 31, 131]}, {\"cell\": \"VP7 (T13)\", \"bbox\": [66, 120, 107, 131]}, {\"cell\": \"46.8\", \"bbox\": [145, 120, 162, 131]}, {\"cell\": \"1065\", \"bbox\": [210, 120, 230, 131]}, {\"cell\": \"352\", \"bbox\": [289, 120, 305, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 120, 408, 131]}, {\"cell\": \"9\", \"bbox\": [24, 136, 31, 147]}, {\"cell\": \"VP6 (Hel)/NS4\", \"bbox\": [64, 131, 109, 153]}, {\"cell\": \"46.0\", \"bbox\": [145, 136, 162, 147]}, {\"cell\": \"1035\", \"bbox\": [210, 136, 230, 147]}, {\"cell\": \"344\", \"bbox\": [289, 136, 305, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 136, 408, 147]}, {\"cell\": \"10\", \"bbox\": [22, 153, 33, 164]}, {\"cell\": \"NS3/NS3a\", \"bbox\": [64, 153, 109, 164]}, {\"cell\": \"46.7\", \"bbox\": [145, 153, 162, 164]}, {\"cell\": \"717\", \"bbox\": [212, 153, 228, 164]}, {\"cell\": \"238\", \"bbox\": [289, 153, 305, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 153, 408, 164]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4885096_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}488{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Sample</b></td><td><b>Shake Flask Method</b></td><td colspan=\\\"3\\\"><b>Polarity (Methanol/Water), (min)</b></td></tr><tr><td><b>Distribution Coefficient, D</b></td><td><b>Peak 1 <sup>a</sup></b></td><td><b>Peak 2 <sup>b</sup></b></td><td><b>Average</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>2.61 ± 0.2</td><td>23.88</td><td>24.61</td><td>24.18</td></tr><tr><td>[EMPTY_CELL]</td><td>2.61 ± 0.2</td><td>23.66</td><td>24.41</td><td>24.05</td></tr><tr><td>[EMPTY_CELL]</td><td>1.00 ± 0.2</td><td>18.75</td><td>19.74</td><td>19.35</td></tr><tr><td>[EMPTY_CELL]</td><td>0.80 ± 0.2</td><td>18.53</td><td>19.57</td><td>19.05</td></tr><tr><td>[EMPTY_CELL]</td><td>0.31 ± 0.2</td><td>17.41</td><td>18.41</td><td>18.02</td></tr><tr><td>[EMPTY_CELL]</td><td>0.39 ± 0.2</td><td>16.77</td><td>17.76</td><td>17.41</td></tr><tr><td>[EMPTY_CELL]</td><td>0.01 ± 0.2</td><td>16.68</td><td>17.72</td><td>17.37</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.38 ± 0.2</td><td>16.29</td><td>17.33</td><td>16.94</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Sample</b>\", \"bbox\": [40, 14, 77, 26]}, {\"cell\": \"<b>Shake Flask Method</b>\", \"bbox\": [137, 6, 236, 18]}, {\"cell\": \"<b>Polarity (Methanol/Water), (min)</b>\", \"bbox\": [266, 6, 426, 18]}, {\"cell\": \"<b>Distribution Coefficient, D</b>\", \"bbox\": [123, 22, 250, 33]}, {\"cell\": \"<b>Peak 1 <sup>a</sup></b>\", \"bbox\": [262, 20, 302, 33]}, {\"cell\": \"<b>Peak 2 <sup>b</sup></b>\", \"bbox\": [312, 20, 353, 33]}, {\"cell\": \"<b>Average</b>\", \"bbox\": [376, 22, 417, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [48, 37, 70, 49]}, {\"cell\": \"2.61 ± 0.2\", \"bbox\": [163, 37, 210, 49]}, {\"cell\": \"23.88\", \"bbox\": [269, 37, 296, 49]}, {\"cell\": \"24.61\", \"bbox\": [319, 37, 346, 49]}, {\"cell\": \"24.18\", \"bbox\": [383, 37, 410, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 52, 111, 64]}, {\"cell\": \"2.61 ± 0.2\", \"bbox\": [163, 52, 210, 64]}, {\"cell\": \"23.66\", \"bbox\": [269, 52, 295, 64]}, {\"cell\": \"24.41\", \"bbox\": [319, 52, 346, 64]}, {\"cell\": \"24.05\", \"bbox\": [383, 52, 409, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 67, 103, 79]}, {\"cell\": \"1.00 ± 0.2\", \"bbox\": [163, 67, 210, 79]}, {\"cell\": \"18.75\", \"bbox\": [269, 67, 296, 79]}, {\"cell\": \"19.74\", \"bbox\": [319, 67, 346, 79]}, {\"cell\": \"19.35\", \"bbox\": [383, 67, 410, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 82, 106, 94]}, {\"cell\": \"0.80 ± 0.2\", \"bbox\": [163, 82, 210, 94]}, {\"cell\": \"18.53\", \"bbox\": [269, 82, 296, 94]}, {\"cell\": \"19.57\", \"bbox\": [319, 82, 346, 94]}, {\"cell\": \"19.05\", \"bbox\": [383, 82, 410, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 97, 109, 109]}, {\"cell\": \"0.31 ± 0.2\", \"bbox\": [163, 97, 210, 109]}, {\"cell\": \"17.41\", \"bbox\": [269, 97, 296, 109]}, {\"cell\": \"18.41\", \"bbox\": [319, 97, 346, 109]}, {\"cell\": \"18.02\", \"bbox\": [383, 97, 410, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 112, 103, 124]}, {\"cell\": \"0.39 ± 0.2\", \"bbox\": [163, 112, 210, 124]}, {\"cell\": \"16.77\", \"bbox\": [269, 112, 296, 124]}, {\"cell\": \"17.76\", \"bbox\": [319, 112, 346, 124]}, {\"cell\": \"17.41\", \"bbox\": [383, 112, 410, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 127, 106, 139]}, {\"cell\": \"0.01 ± 0.2\", \"bbox\": [163, 127, 210, 139]}, {\"cell\": \"16.68\", \"bbox\": [269, 127, 296, 139]}, {\"cell\": \"17.72\", \"bbox\": [319, 127, 346, 139]}, {\"cell\": \"17.37\", \"bbox\": [383, 127, 410, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 142, 109, 154]}, {\"cell\": \"−0.38 ± 0.2\", \"bbox\": [160, 138, 213, 155]}, {\"cell\": \"16.29\", \"bbox\": [269, 142, 296, 154]}, {\"cell\": \"17.33\", \"bbox\": [319, 142, 346, 154]}, {\"cell\": \"16.94\", \"bbox\": [383, 142, 410, 154]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4632738_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}489{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Parameter</b></td><td colspan=\\\"2\\\"><b>Obese Individuals</b></td><td colspan=\\\"2\\\"><b>Normal-Weight Controls</b></td><td rowspan=\\\"2\\\"><b><i>p</i></b></td></tr><tr><td><b>Mean ± SD</b></td><td><b>Min–Max</b></td><td><b>Mean ± SD</b></td><td><b>Min–Max</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>42.02 ± 10.33</td><td>[EMPTY_CELL]</td><td>44.08 ± 13.50</td><td>26–63</td><td>0.623</td></tr><tr><td>Weight (kg)</td><td>132.17 ± 18.61</td><td>[EMPTY_CELL]</td><td>67.92 ± 10.48</td><td>54–90</td><td><0.0001</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>47.02 ± 4.91</td><td>[EMPTY_CELL]</td><td>23.06 ± 1.77</td><td>20.07-24.93</td><td><0.0001</td></tr><tr><td>Adipose tissue (% body mass)</td><td>48.55 ± 4.10</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>Waist circumference (cm) </td><td>124.47 ± 18.78</td><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>CRP (nmol/L)</td><td>123.15 ± 114</td><td>[EMPTY_CELL]</td><td>30.86 ± 16.38</td><td>6.67–49.52</td><td>0.04</td></tr><tr><td>Glucose (mmol/L)</td><td>5.65 ± 1.53</td><td>[EMPTY_CELL]</td><td>5.17 ± 0.21</td><td>4.77–5.44</td><td>0.314</td></tr><tr><td>Total cholesterol (mmol/L)</td><td>5.20 ± 1.03</td><td>[EMPTY_CELL]</td><td>4.80 ± 0.20</td><td>4.62–4.92</td><td>0.623</td></tr><tr><td>LDL (mmol/L)</td><td>3.28 ± 1.06</td><td>[EMPTY_CELL]</td><td>2.62 ± 0.08</td><td>2.75–2.80</td><td>0.547</td></tr><tr><td>HDL (mmol/L)</td><td>1.24 ± 0.23</td><td>[EMPTY_CELL]</td><td>1.47 ± 0.27</td><td>1.24–1.76</td><td>0.136</td></tr><tr><td>Triglycerides (mmol/L)</td><td>1.44 ± 0.73</td><td>[EMPTY_CELL]</td><td>1.33 ± 0.09</td><td>1.10–1.46</td><td>0.797</td></tr><tr><td colspan=\\\"6\\\">Co-morbidities</td></tr><tr><td>Type 2 DM/IGT</td><td colspan=\\\"2\\\">24 (49.0%)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypertension</td><td colspan=\\\"2\\\">29 (59.2%)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Hyperlipidemia</td><td colspan=\\\"2\\\">30 (61.2%)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [48, 14, 100, 26]}, {\"cell\": \"<b>Obese Individuals</b>\", \"bbox\": [177, 6, 264, 18]}, {\"cell\": \"<b>Normal-Weight Controls</b>\", \"bbox\": [303, 6, 423, 18]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [451, 14, 458, 26]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [158, 22, 212, 33]}, {\"cell\": \"<b>Min–Max</b>\", \"bbox\": [235, 22, 283, 33]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [304, 22, 358, 33]}, {\"cell\": \"<b>Min–Max</b>\", \"bbox\": [374, 22, 423, 33]}, {\"cell\": \"Age (years)\", \"bbox\": [47, 37, 101, 49]}, {\"cell\": \"42.02 ± 10.33\", \"bbox\": [154, 37, 217, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 37, 274, 49]}, {\"cell\": \"44.08 ± 13.50\", \"bbox\": [299, 37, 362, 49]}, {\"cell\": \"26–63\", \"bbox\": [384, 37, 414, 49]}, {\"cell\": \"0.623\", \"bbox\": [441, 37, 468, 49]}, {\"cell\": \"Weight (kg)\", \"bbox\": [47, 52, 102, 64]}, {\"cell\": \"132.17 ± 18.61\", \"bbox\": [151, 52, 219, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 52, 284, 64]}, {\"cell\": \"67.92 ± 10.48\", \"bbox\": [299, 52, 362, 64]}, {\"cell\": \"54–90\", \"bbox\": [384, 52, 414, 64]}, {\"cell\": \"<0.0001\", \"bbox\": [435, 52, 474, 64]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [45, 65, 104, 79]}, {\"cell\": \"47.02 ± 4.91\", \"bbox\": [156, 67, 214, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 67, 288, 79]}, {\"cell\": \"23.06 ± 1.77\", \"bbox\": [302, 67, 360, 79]}, {\"cell\": \"20.07-24.93\", \"bbox\": [371, 67, 426, 79]}, {\"cell\": \"<0.0001\", \"bbox\": [435, 67, 474, 79]}, {\"cell\": \"Adipose tissue (% body mass)\", \"bbox\": [7, 82, 142, 94]}, {\"cell\": \"48.55 ± 4.10\", \"bbox\": [156, 82, 214, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [231, 82, 288, 94]}, {\"cell\": \"–\", \"bbox\": [327, 82, 335, 94]}, {\"cell\": \"–\", \"bbox\": [395, 82, 402, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Waist circumference (cm) \", \"bbox\": [16, 97, 133, 109]}, {\"cell\": \"124.47 ± 18.78\", \"bbox\": [151, 97, 219, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 97, 277, 109]}, {\"cell\": \"–\", \"bbox\": [327, 97, 335, 109]}, {\"cell\": \"–\", \"bbox\": [395, 97, 403, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CRP (nmol/L)\", \"bbox\": [42, 112, 107, 124]}, {\"cell\": \"123.15 ± 114\", \"bbox\": [155, 112, 215, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 112, 291, 124]}, {\"cell\": \"30.86 ± 16.38\", \"bbox\": [299, 112, 362, 124]}, {\"cell\": \"6.67–49.52\", \"bbox\": [373, 112, 425, 124]}, {\"cell\": \"0.04\", \"bbox\": [444, 112, 465, 124]}, {\"cell\": \"Glucose (mmol/L)\", \"bbox\": [32, 127, 116, 139]}, {\"cell\": \"5.65 ± 1.53\", \"bbox\": [159, 127, 211, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [234, 127, 285, 139]}, {\"cell\": \"5.17 ± 0.21\", \"bbox\": [305, 127, 357, 139]}, {\"cell\": \"4.77–5.44\", \"bbox\": [376, 127, 422, 139]}, {\"cell\": \"0.314\", \"bbox\": [441, 127, 468, 139]}, {\"cell\": \"Total cholesterol (mmol/L)\", \"bbox\": [13, 142, 135, 154]}, {\"cell\": \"5.20 ± 1.03\", \"bbox\": [159, 142, 211, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 142, 282, 154]}, {\"cell\": \"4.80 ± 0.20\", \"bbox\": [305, 142, 357, 154]}, {\"cell\": \"4.62–4.92\", \"bbox\": [376, 142, 422, 154]}, {\"cell\": \"0.623\", \"bbox\": [441, 142, 468, 154]}, {\"cell\": \"LDL (mmol/L)\", \"bbox\": [40, 157, 109, 169]}, {\"cell\": \"3.28 ± 1.06\", \"bbox\": [159, 157, 211, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 157, 282, 169]}, {\"cell\": \"2.62 ± 0.08\", \"bbox\": [305, 157, 357, 169]}, {\"cell\": \"2.75–2.80\", \"bbox\": [376, 157, 422, 169]}, {\"cell\": \"0.547\", \"bbox\": [441, 157, 468, 169]}, {\"cell\": \"HDL (mmol/L)\", \"bbox\": [39, 172, 109, 184]}, {\"cell\": \"1.24 ± 0.23\", \"bbox\": [159, 172, 211, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 172, 282, 184]}, {\"cell\": \"1.47 ± 0.27\", \"bbox\": [305, 172, 357, 184]}, {\"cell\": \"1.24–1.76\", \"bbox\": [376, 172, 422, 184]}, {\"cell\": \"0.136\", \"bbox\": [441, 172, 468, 184]}, {\"cell\": \"Triglycerides (mmol/L)\", \"bbox\": [21, 187, 128, 199]}, {\"cell\": \"1.44 ± 0.73\", \"bbox\": [159, 187, 211, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 187, 282, 199]}, {\"cell\": \"1.33 ± 0.09\", \"bbox\": [305, 187, 357, 199]}, {\"cell\": \"1.10–1.46\", \"bbox\": [376, 187, 422, 199]}, {\"cell\": \"0.797\", \"bbox\": [441, 187, 468, 199]}, {\"cell\": \"Co-morbidities\", \"bbox\": [206, 202, 274, 214]}, {\"cell\": \"Type 2 DM/IGT\", \"bbox\": [37, 218, 112, 230]}, {\"cell\": \"24 (49.0%)\", \"bbox\": [195, 218, 246, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 218, 375, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hypertension\", \"bbox\": [44, 233, 105, 245]}, {\"cell\": \"29 (59.2%)\", \"bbox\": [195, 233, 246, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 233, 375, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hyperlipidemia\", \"bbox\": [39, 248, 110, 260]}, {\"cell\": \"30 (61.2%)\", \"bbox\": [195, 248, 246, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 248, 375, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4632828_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}490{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>ECOG-ACRIN (n=371)<sup>1</sup></b></td><td><b>LSC (n=466)<sup>1</sup></b></td><td><b>PLuSS (n=597)<sup>1</sup></b></td><td><b>OR<sup>2</sup> (95% CI) (ECOG/LSC)</b></td><td><b>OR<sup>2</sup> (95% CI) (ECOG/PLuSS)</b></td></tr></thead><tbody><tr><td><i>P16</i></td><td>132 (36)</td><td>[EMPTY_CELL]</td><td>89 (15)</td><td>2.3 (1.6 – 3.2)</td><td>3.2 (2.3 – 4.5)</td></tr><tr><td><i>MGMT</i></td><td>152 (42)</td><td>[EMPTY_CELL]</td><td>140 (23)</td><td>2.0 (1.5 – 2.8)</td><td>2.4 (1.8 – 3.2)</td></tr><tr><td><i>DAPK</i></td><td>157 (43)</td><td>[EMPTY_CELL]</td><td>77 (13)</td><td>3.3 (2.3 – 4.6)</td><td>5.0 (3.6 – 7.1)</td></tr><tr><td><i>RASSF1A</i></td><td>37 (10)</td><td>[EMPTY_CELL]</td><td>0</td><td>7.4 (1.8 – 31.4)</td><td>NC</td></tr><tr><td><i>GATA4</i></td><td>265 (73)</td><td>[EMPTY_CELL]</td><td>198 (33)</td><td>3.9 (2.8 – 5.3)</td><td>4.9 (3.6 – 6.6)</td></tr><tr><td><i>GATA5</i></td><td>164 (45)</td><td>[EMPTY_CELL]</td><td>55 (9)</td><td>5.3 (3.6 – 7.6)</td><td>7.9 (5.5 – 11.5)</td></tr><tr><td><i>PAX5α</i></td><td>116 (32)</td><td>[EMPTY_CELL]</td><td>68 (11)</td><td>1.6 (1.2 – 2.3)</td><td>3.2 (2.2 – 4.5)</td></tr><tr><td><i>PAX5β</i></td><td>117 (32)</td><td>[EMPTY_CELL]</td><td>30 (5)</td><td>6.2 (4.0 – 9.8)</td><td>8.9 (4.7 – 14.1)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [4, 6, 28, 14]}, {\"cell\": \"<b>ECOG-ACRIN (n=371)<sup>1</sup></b>\", \"bbox\": [92, 6, 160, 29]}, {\"cell\": \"<b>LSC (n=466)<sup>1</sup></b>\", \"bbox\": [183, 2, 243, 17]}, {\"cell\": \"<b>PLuSS (n=597)<sup>1</sup></b>\", \"bbox\": [253, 2, 323, 17]}, {\"cell\": \"<b>OR<sup>2</sup> (95% CI) (ECOG/LSC)</b>\", \"bbox\": [337, 2, 400, 29]}, {\"cell\": \"<b>OR<sup>2</sup> (95% CI) (ECOG/PLuSS)</b>\", \"bbox\": [420, 2, 490, 29]}, {\"cell\": \"<i>P16</i>\", \"bbox\": [3, 35, 22, 44]}, {\"cell\": \"132 (36)\", \"bbox\": [108, 35, 144, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 35, 229, 46]}, {\"cell\": \"89 (15)\", \"bbox\": [272, 35, 303, 46]}, {\"cell\": \"2.3 (1.6 – 3.2)\", \"bbox\": [339, 35, 398, 46]}, {\"cell\": \"3.2 (2.3 – 4.5)\", \"bbox\": [426, 35, 484, 46]}, {\"cell\": \"<i>MGMT</i>\", \"bbox\": [3, 52, 35, 61]}, {\"cell\": \"152 (42)\", \"bbox\": [108, 52, 144, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 52, 231, 63]}, {\"cell\": \"140 (23)\", \"bbox\": [270, 52, 306, 63]}, {\"cell\": \"2.0 (1.5 – 2.8)\", \"bbox\": [339, 52, 398, 63]}, {\"cell\": \"2.4 (1.8 – 3.2)\", \"bbox\": [426, 52, 484, 63]}, {\"cell\": \"<i>DAPK</i>\", \"bbox\": [3, 69, 32, 78]}, {\"cell\": \"157 (43)\", \"bbox\": [108, 69, 144, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 69, 229, 80]}, {\"cell\": \"77 (13)\", \"bbox\": [272, 69, 303, 80]}, {\"cell\": \"3.3 (2.3 – 4.6)\", \"bbox\": [339, 69, 398, 80]}, {\"cell\": \"5.0 (3.6 – 7.1)\", \"bbox\": [426, 69, 484, 80]}, {\"cell\": \"<i>RASSF1A</i>\", \"bbox\": [3, 86, 45, 95]}, {\"cell\": \"37 (10)\", \"bbox\": [110, 86, 142, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 86, 228, 97]}, {\"cell\": \"0\", \"bbox\": [284, 86, 291, 97]}, {\"cell\": \"7.4 (1.8 – 31.4)\", \"bbox\": [337, 86, 400, 97]}, {\"cell\": \"NC\", \"bbox\": [447, 86, 463, 97]}, {\"cell\": \"<i>GATA4</i>\", \"bbox\": [3, 103, 34, 112]}, {\"cell\": \"265 (73)\", \"bbox\": [108, 103, 144, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 103, 231, 114]}, {\"cell\": \"198 (33)\", \"bbox\": [270, 103, 306, 114]}, {\"cell\": \"3.9 (2.8 – 5.3)\", \"bbox\": [339, 103, 398, 114]}, {\"cell\": \"4.9 (3.6 – 6.6)\", \"bbox\": [426, 103, 484, 114]}, {\"cell\": \"<i>GATA5</i>\", \"bbox\": [3, 120, 34, 129]}, {\"cell\": \"164 (45)\", \"bbox\": [108, 120, 144, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 120, 229, 131]}, {\"cell\": \"55 (9)\", \"bbox\": [275, 120, 301, 131]}, {\"cell\": \"5.3 (3.6 – 7.6)\", \"bbox\": [339, 120, 398, 131]}, {\"cell\": \"7.9 (5.5 – 11.5)\", \"bbox\": [424, 120, 487, 131]}, {\"cell\": \"<i>PAX5α</i>\", \"bbox\": [3, 133, 33, 149]}, {\"cell\": \"116 (32)\", \"bbox\": [108, 137, 144, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 137, 229, 148]}, {\"cell\": \"68 (11)\", \"bbox\": [272, 137, 303, 148]}, {\"cell\": \"1.6 (1.2 – 2.3)\", \"bbox\": [339, 137, 398, 148]}, {\"cell\": \"3.2 (2.2 – 4.5)\", \"bbox\": [426, 137, 484, 148]}, {\"cell\": \"<i>PAX5β</i>\", \"bbox\": [3, 150, 33, 166]}, {\"cell\": \"117 (32)\", \"bbox\": [108, 154, 144, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [200, 154, 226, 165]}, {\"cell\": \"30 (5)\", \"bbox\": [275, 154, 301, 165]}, {\"cell\": \"6.2 (4.0 – 9.8)\", \"bbox\": [339, 154, 398, 165]}, {\"cell\": \"8.9 (4.7 – 14.1)\", \"bbox\": [423, 154, 487, 165]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5609978_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}491{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\" colspan=\\\"2\\\"><b>Test</b></td><td><b>CMACount</b></td><td><b>KTCount</b></td><td><b>FRGXCount</b></td></tr><tr><td><b>(% of Requested)</b></td><td><b>(% of Requested)</b></td><td><b>(% of Requested)</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">Completed</td><td>110</td><td>[EMPTY_CELL]</td><td>167</td></tr><tr><td colspan=\\\"2\\\">Normal</td><td>98 (89.1)</td><td>[EMPTY_CELL]</td><td>165 (98.8)</td></tr><tr><td rowspan=\\\"2\\\">Variant reported</td><td>All</td><td>[EMPTY_CELL]</td><td>5 (3.5)</td><td>2 (1.2)</td></tr><tr><td>Causal</td><td>6 (5.5)</td><td>[EMPTY_CELL]</td><td>2 (1.2)</td></tr><tr><td rowspan=\\\"2\\\">NNT</td><td>All</td><td>[EMPTY_CELL]</td><td>28</td><td>83.5</td></tr><tr><td>Causal</td><td>18.3</td><td>[EMPTY_CELL]</td><td>83.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>$</td><td>$</td></tr><tr><td rowspan=\\\"3\\\">Cost Analysis</td><td>CPT</td><td>[EMPTY_CELL]</td><td>361.35</td><td>102.00</td></tr><tr><td>CPF</td><td>5443.63</td><td>[EMPTY_CELL]</td><td>8415.00</td></tr><tr><td>CCF</td><td>10,887.25</td><td>[EMPTY_CELL]</td><td>8415.00</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Test</b>\", \"bbox\": [60, 14, 82, 25]}, {\"cell\": \"<b>CMACount</b>\", \"bbox\": [165, 6, 222, 18]}, {\"cell\": \"<b>KTCount</b>\", \"bbox\": [272, 6, 319, 18]}, {\"cell\": \"<b>FRGXCount</b>\", \"bbox\": [362, 6, 424, 18]}, {\"cell\": \"<b>(% of Requested)</b>\", \"bbox\": [152, 21, 236, 33]}, {\"cell\": \"<b>(% of Requested)</b>\", \"bbox\": [254, 21, 338, 33]}, {\"cell\": \"<b>(% of Requested)</b>\", \"bbox\": [351, 21, 435, 33]}, {\"cell\": \"Completed\", \"bbox\": [46, 36, 96, 48]}, {\"cell\": \"110\", \"bbox\": [184, 36, 203, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 36, 305, 48]}, {\"cell\": \"167\", \"bbox\": [384, 36, 402, 48]}, {\"cell\": \"Normal\", \"bbox\": [53, 51, 89, 63]}, {\"cell\": \"98 (89.1)\", \"bbox\": [173, 51, 215, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 51, 320, 63]}, {\"cell\": \"165 (98.8)\", \"bbox\": [369, 51, 417, 63]}, {\"cell\": \"Variant reported\", \"bbox\": [11, 74, 85, 86]}, {\"cell\": \"All\", \"bbox\": [110, 66, 126, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [173, 66, 215, 78]}, {\"cell\": \"5 (3.5)\", \"bbox\": [280, 66, 311, 78]}, {\"cell\": \"2 (1.2)\", \"bbox\": [377, 66, 409, 78]}, {\"cell\": \"Causal\", \"bbox\": [102, 81, 134, 93]}, {\"cell\": \"6 (5.5)\", \"bbox\": [178, 81, 209, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 81, 311, 93]}, {\"cell\": \"2 (1.2)\", \"bbox\": [377, 81, 409, 93]}, {\"cell\": \"NNT\", \"bbox\": [36, 104, 60, 116]}, {\"cell\": \"All\", \"bbox\": [110, 96, 126, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 96, 202, 108]}, {\"cell\": \"28\", \"bbox\": [289, 96, 302, 108]}, {\"cell\": \"83.5\", \"bbox\": [382, 96, 404, 108]}, {\"cell\": \"Causal\", \"bbox\": [102, 111, 134, 123]}, {\"cell\": \"18.3\", \"bbox\": [183, 111, 204, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 111, 302, 123]}, {\"cell\": \"83.5\", \"bbox\": [382, 111, 404, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 126, 197, 138]}, {\"cell\": \"$\", \"bbox\": [292, 126, 299, 138]}, {\"cell\": \"$\", \"bbox\": [389, 126, 397, 138]}, {\"cell\": \"Cost Analysis\", \"bbox\": [17, 156, 80, 168]}, {\"cell\": \"CPT\", \"bbox\": [107, 141, 129, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 141, 210, 153]}, {\"cell\": \"361.35\", \"bbox\": [280, 141, 312, 153]}, {\"cell\": \"102.00\", \"bbox\": [377, 141, 409, 153]}, {\"cell\": \"CPF\", \"bbox\": [107, 156, 128, 168]}, {\"cell\": \"5443.63\", \"bbox\": [175, 156, 213, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 156, 316, 168]}, {\"cell\": \"8415.00\", \"bbox\": [374, 156, 412, 168]}, {\"cell\": \"CCF\", \"bbox\": [106, 171, 129, 183]}, {\"cell\": \"10,887.25\", \"bbox\": [171, 171, 217, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 171, 319, 183]}, {\"cell\": \"8415.00\", \"bbox\": [374, 171, 412, 183]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4939515_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}492{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Mesh</b></td><td><b># of fly genes</b></td><td><b># of fly genes with human ortholog(s)</b></td><td><b># of fly genes shared disease categories with their human ortholog</b></td><td><b>% fly genes with human ortholog(s)</b></td><td><b>% fly genes shared disease categories with their human ortholog</b></td></tr></thead><tbody><tr><td>Neoplasms</td><td>[EMPTY_CELL]</td><td>636</td><td>592</td><td>93%</td><td>93%</td></tr><tr><td>Pathological Conditions, Signs and Symptoms</td><td>[EMPTY_CELL]</td><td>1713</td><td>1566</td><td>81%</td><td>91%</td></tr><tr><td>Nervous System Diseases</td><td>[EMPTY_CELL]</td><td>1004</td><td>878</td><td>85%</td><td>87%</td></tr><tr><td>Digestive System Diseases</td><td>[EMPTY_CELL]</td><td>94</td><td>81</td><td>90%</td><td>86%</td></tr><tr><td>Otorhinolaryngologic Diseases</td><td>[EMPTY_CELL]</td><td>14</td><td>12</td><td>78%</td><td>86%</td></tr><tr><td>Mental Disorders</td><td>[EMPTY_CELL]</td><td>448</td><td>378</td><td>95%</td><td>84%</td></tr><tr><td>Congenital, Hereditary, and Neonatal Diseases and Abnormalities</td><td>[EMPTY_CELL]</td><td>1100</td><td>900</td><td>89%</td><td>82%</td></tr><tr><td>Cardiovascular Diseases</td><td>[EMPTY_CELL]</td><td>126</td><td>103</td><td>91%</td><td>82%</td></tr><tr><td>Stomatognathic Diseases</td><td>[EMPTY_CELL]</td><td>20</td><td>16</td><td>100%</td><td>80%</td></tr><tr><td>Skin and Connective Tissue Diseases</td><td>[EMPTY_CELL]</td><td>123</td><td>98</td><td>83%</td><td>80%</td></tr><tr><td>Immune System Diseases</td><td>[EMPTY_CELL]</td><td>84</td><td>64</td><td>75%</td><td>76%</td></tr><tr><td>Respiratory Tract Diseases</td><td>[EMPTY_CELL]</td><td>8</td><td>6</td><td>100%</td><td>75%</td></tr><tr><td>Disorders of Environmental Origin</td><td>[EMPTY_CELL]</td><td>642</td><td>466</td><td>84%</td><td>73%</td></tr><tr><td>Hemic and Lymphatic Diseases</td><td>[EMPTY_CELL]</td><td>96</td><td>69</td><td>96%</td><td>72%</td></tr><tr><td>Endocrine System Diseases</td><td>[EMPTY_CELL]</td><td>144</td><td>103</td><td>88%</td><td>72%</td></tr><tr><td>Nutritional and Metabolic Diseases</td><td>[EMPTY_CELL]</td><td>452</td><td>310</td><td>78%</td><td>69%</td></tr><tr><td>Female Urogenital Diseases and Pregnancy Complications</td><td>[EMPTY_CELL]</td><td>413</td><td>276</td><td>74%</td><td>67%</td></tr><tr><td>Virus Diseases</td><td>[EMPTY_CELL]</td><td>32</td><td>21</td><td>84%</td><td>66%</td></tr><tr><td>Musculoskeletal Diseases</td><td>[EMPTY_CELL]</td><td>165</td><td>106</td><td>78%</td><td>64%</td></tr><tr><td>Male Urogenital Diseases</td><td>[EMPTY_CELL]</td><td>355</td><td>221</td><td>76%</td><td>62%</td></tr><tr><td>Bacterial Infections and Mycoses</td><td>[EMPTY_CELL]</td><td>233</td><td>99</td><td>72%</td><td>42%</td></tr><tr><td>Eye Diseases</td><td>[EMPTY_CELL]</td><td>590</td><td>221</td><td>84%</td><td>37%</td></tr><tr><td>Parasitic Diseases</td><td>[EMPTY_CELL]</td><td>187</td><td>21</td><td>82%</td><td>11%</td></tr><tr><td>All Categories</td><td>[EMPTY_CELL]</td><td>2739</td><td>2283</td><td>77%</td><td>83%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Mesh</b>\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"<b># of fly genes</b>\", \"bbox\": [101, 4, 128, 22]}, {\"cell\": \"<b># of fly genes with human ortholog(s)</b>\", \"bbox\": [137, 4, 187, 31]}, {\"cell\": \"<b># of fly genes shared disease categories with their human ortholog</b>\", \"bbox\": [203, 4, 307, 31]}, {\"cell\": \"<b>% fly genes with human ortholog(s)</b>\", \"bbox\": [316, 4, 360, 31]}, {\"cell\": \"<b>% fly genes shared disease categories with their human ortholog</b>\", \"bbox\": [379, 4, 480, 31]}, {\"cell\": \"Neoplasms\", \"bbox\": [0, 35, 37, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 35, 115, 45]}, {\"cell\": \"636\", \"bbox\": [137, 35, 150, 45]}, {\"cell\": \"592\", \"bbox\": [203, 35, 217, 45]}, {\"cell\": \"93%\", \"bbox\": [316, 35, 331, 45]}, {\"cell\": \"93%\", \"bbox\": [379, 35, 394, 45]}, {\"cell\": \"Pathological Conditions, Signs and Symptoms\", \"bbox\": [0, 47, 80, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 47, 118, 57]}, {\"cell\": \"1713\", \"bbox\": [137, 47, 154, 57]}, {\"cell\": \"1566\", \"bbox\": [203, 47, 220, 57]}, {\"cell\": \"81%\", \"bbox\": [316, 47, 331, 57]}, {\"cell\": \"91%\", \"bbox\": [379, 47, 394, 57]}, {\"cell\": \"Nervous System Diseases\", \"bbox\": [0, 68, 83, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 68, 118, 78]}, {\"cell\": \"1004\", \"bbox\": [137, 68, 154, 78]}, {\"cell\": \"878\", \"bbox\": [203, 68, 217, 78]}, {\"cell\": \"85%\", \"bbox\": [316, 68, 331, 78]}, {\"cell\": \"87%\", \"bbox\": [379, 68, 394, 78]}, {\"cell\": \"Digestive System Diseases\", \"bbox\": [0, 80, 86, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 80, 115, 89]}, {\"cell\": \"94\", \"bbox\": [137, 80, 147, 89]}, {\"cell\": \"81\", \"bbox\": [203, 80, 213, 89]}, {\"cell\": \"90%\", \"bbox\": [316, 80, 331, 89]}, {\"cell\": \"86%\", \"bbox\": [379, 80, 394, 89]}, {\"cell\": \"Otorhinolaryngologic Diseases\", \"bbox\": [0, 92, 70, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 92, 111, 101]}, {\"cell\": \"14\", \"bbox\": [137, 92, 147, 101]}, {\"cell\": \"12\", \"bbox\": [203, 92, 213, 101]}, {\"cell\": \"78%\", \"bbox\": [316, 92, 331, 101]}, {\"cell\": \"86%\", \"bbox\": [379, 92, 394, 101]}, {\"cell\": \"Mental Disorders\", \"bbox\": [0, 113, 57, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 113, 115, 122]}, {\"cell\": \"448\", \"bbox\": [137, 113, 150, 122]}, {\"cell\": \"378\", \"bbox\": [203, 113, 217, 122]}, {\"cell\": \"95%\", \"bbox\": [316, 113, 331, 122]}, {\"cell\": \"84%\", \"bbox\": [379, 113, 394, 122]}, {\"cell\": \"Congenital, Hereditary, and Neonatal Diseases and Abnormalities\", \"bbox\": [0, 125, 90, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 125, 118, 134]}, {\"cell\": \"1100\", \"bbox\": [137, 125, 154, 134]}, {\"cell\": \"900\", \"bbox\": [203, 125, 217, 134]}, {\"cell\": \"89%\", \"bbox\": [316, 125, 331, 134]}, {\"cell\": \"82%\", \"bbox\": [379, 125, 394, 134]}, {\"cell\": \"Cardiovascular Diseases\", \"bbox\": [0, 155, 78, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 155, 115, 164]}, {\"cell\": \"126\", \"bbox\": [137, 155, 150, 164]}, {\"cell\": \"103\", \"bbox\": [203, 155, 217, 164]}, {\"cell\": \"91%\", \"bbox\": [316, 155, 331, 164]}, {\"cell\": \"82%\", \"bbox\": [379, 155, 394, 164]}, {\"cell\": \"Stomatognathic Diseases\", \"bbox\": [0, 167, 83, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 167, 111, 176]}, {\"cell\": \"20\", \"bbox\": [137, 167, 147, 176]}, {\"cell\": \"16\", \"bbox\": [203, 167, 213, 176]}, {\"cell\": \"100%\", \"bbox\": [316, 167, 335, 176]}, {\"cell\": \"80%\", \"bbox\": [379, 167, 394, 176]}, {\"cell\": \"Skin and Connective Tissue Diseases\", \"bbox\": [0, 179, 90, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 179, 115, 188]}, {\"cell\": \"123\", \"bbox\": [137, 179, 150, 188]}, {\"cell\": \"98\", \"bbox\": [203, 179, 213, 188]}, {\"cell\": \"83%\", \"bbox\": [316, 179, 331, 188]}, {\"cell\": \"80%\", \"bbox\": [379, 179, 394, 188]}, {\"cell\": \"Immune System Diseases\", \"bbox\": [0, 199, 84, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 199, 115, 209]}, {\"cell\": \"84\", \"bbox\": [137, 199, 147, 209]}, {\"cell\": \"64\", \"bbox\": [203, 199, 213, 209]}, {\"cell\": \"75%\", \"bbox\": [316, 199, 331, 209]}, {\"cell\": \"76%\", \"bbox\": [379, 199, 394, 209]}, {\"cell\": \"Respiratory Tract Diseases\", \"bbox\": [0, 211, 85, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 211, 107, 221]}, {\"cell\": \"8\", \"bbox\": [137, 211, 143, 221]}, {\"cell\": \"6\", \"bbox\": [203, 211, 209, 221]}, {\"cell\": \"100%\", \"bbox\": [316, 211, 335, 221]}, {\"cell\": \"75%\", \"bbox\": [379, 211, 394, 221]}, {\"cell\": \"Disorders of Environmental Origin\", \"bbox\": [0, 223, 90, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 223, 115, 233]}, {\"cell\": \"642\", \"bbox\": [137, 223, 150, 233]}, {\"cell\": \"466\", \"bbox\": [203, 223, 217, 233]}, {\"cell\": \"84%\", \"bbox\": [316, 223, 331, 233]}, {\"cell\": \"73%\", \"bbox\": [379, 223, 394, 233]}, {\"cell\": \"Hemic and Lymphatic Diseases\", \"bbox\": [0, 244, 73, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 244, 115, 254]}, {\"cell\": \"96\", \"bbox\": [137, 244, 147, 254]}, {\"cell\": \"69\", \"bbox\": [203, 244, 213, 254]}, {\"cell\": \"96%\", \"bbox\": [316, 244, 331, 254]}, {\"cell\": \"72%\", \"bbox\": [379, 244, 394, 254]}, {\"cell\": \"Endocrine System Diseases\", \"bbox\": [0, 265, 89, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 265, 115, 275]}, {\"cell\": \"144\", \"bbox\": [137, 265, 150, 275]}, {\"cell\": \"103\", \"bbox\": [203, 265, 217, 275]}, {\"cell\": \"88%\", \"bbox\": [316, 265, 331, 275]}, {\"cell\": \"72%\", \"bbox\": [379, 265, 394, 275]}, {\"cell\": \"Nutritional and Metabolic Diseases\", \"bbox\": [0, 277, 84, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 277, 115, 287]}, {\"cell\": \"452\", \"bbox\": [137, 277, 150, 287]}, {\"cell\": \"310\", \"bbox\": [203, 277, 217, 287]}, {\"cell\": \"78%\", \"bbox\": [316, 277, 331, 287]}, {\"cell\": \"69%\", \"bbox\": [379, 277, 394, 287]}, {\"cell\": \"Female Urogenital Diseases and Pregnancy Complications\", \"bbox\": [0, 298, 91, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 298, 115, 308]}, {\"cell\": \"413\", \"bbox\": [137, 298, 150, 308]}, {\"cell\": \"276\", \"bbox\": [203, 298, 217, 308]}, {\"cell\": \"74%\", \"bbox\": [316, 298, 331, 308]}, {\"cell\": \"67%\", \"bbox\": [379, 298, 394, 308]}, {\"cell\": \"Virus Diseases\", \"bbox\": [0, 328, 47, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 328, 111, 338]}, {\"cell\": \"32\", \"bbox\": [137, 328, 147, 338]}, {\"cell\": \"21\", \"bbox\": [203, 328, 213, 338]}, {\"cell\": \"84%\", \"bbox\": [316, 328, 331, 338]}, {\"cell\": \"66%\", \"bbox\": [379, 328, 394, 338]}, {\"cell\": \"Musculoskeletal Diseases\", \"bbox\": [0, 340, 82, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 340, 115, 349]}, {\"cell\": \"165\", \"bbox\": [137, 340, 150, 349]}, {\"cell\": \"106\", \"bbox\": [203, 340, 217, 349]}, {\"cell\": \"78%\", \"bbox\": [316, 340, 331, 349]}, {\"cell\": \"64%\", \"bbox\": [379, 340, 394, 349]}, {\"cell\": \"Male Urogenital Diseases\", \"bbox\": [0, 352, 83, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 352, 115, 361]}, {\"cell\": \"355\", \"bbox\": [137, 352, 150, 361]}, {\"cell\": \"221\", \"bbox\": [203, 352, 217, 361]}, {\"cell\": \"76%\", \"bbox\": [316, 352, 331, 361]}, {\"cell\": \"62%\", \"bbox\": [379, 352, 394, 361]}, {\"cell\": \"Bacterial Infections and Mycoses\", \"bbox\": [0, 364, 77, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 364, 115, 373]}, {\"cell\": \"233\", \"bbox\": [137, 364, 150, 373]}, {\"cell\": \"99\", \"bbox\": [203, 364, 213, 373]}, {\"cell\": \"72%\", \"bbox\": [316, 364, 331, 373]}, {\"cell\": \"42%\", \"bbox\": [379, 364, 394, 373]}, {\"cell\": \"Eye Diseases\", \"bbox\": [0, 385, 43, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 385, 115, 394]}, {\"cell\": \"590\", \"bbox\": [137, 385, 150, 394]}, {\"cell\": \"221\", \"bbox\": [203, 385, 217, 394]}, {\"cell\": \"84%\", \"bbox\": [316, 385, 331, 394]}, {\"cell\": \"37%\", \"bbox\": [379, 385, 394, 394]}, {\"cell\": \"Parasitic Diseases\", \"bbox\": [0, 397, 57, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 397, 115, 406]}, {\"cell\": \"187\", \"bbox\": [137, 397, 150, 406]}, {\"cell\": \"21\", \"bbox\": [203, 397, 213, 406]}, {\"cell\": \"82%\", \"bbox\": [316, 397, 331, 406]}, {\"cell\": \"11%\", \"bbox\": [379, 397, 394, 406]}, {\"cell\": \"All Categories\", \"bbox\": [0, 409, 47, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 409, 118, 418]}, {\"cell\": \"2739\", \"bbox\": [137, 409, 154, 418]}, {\"cell\": \"2283\", \"bbox\": [203, 409, 220, 418]}, {\"cell\": \"77%\", \"bbox\": [316, 409, 331, 418]}, {\"cell\": \"83%\", \"bbox\": [379, 409, 394, 418]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3179972_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}493{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Country</b></td><td><b>Swimming split time (h:min)</b></td><td><b>Cycling split time (h:min)</b></td><td><b>Running split time (h:min)</b></td><td><b>Overall race time (h:min)</b></td><td><b>Transition time (h:min)</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1:03 ± 0:14</td><td>6:48 ± 0:26</td><td>4:52 ± 0:21</td><td>13:01 ± 0:17</td><td>0:06 ± 0:03</td></tr><tr><td>[EMPTY_CELL]</td><td>1:10 ± 0:06</td><td>7:03 ± 0:28</td><td>4:23 ± 0:36</td><td>13:46 ± 0:55</td><td>0:09 ± 0:03</td></tr><tr><td>[EMPTY_CELL]</td><td>1:07 ± 0:15</td><td>8:06 ± 1:01</td><td>6:12 ± 0:43</td><td>15:51 ± 1:19</td><td>0:14 ± 0:08</td></tr><tr><td colspan=\\\"6\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1:03 ± 0:07</td><td>5:34 ± 0:12</td><td>4:14 ± 0:12</td><td>10:56 ± 0:14</td><td>0:03 ± 0:01</td></tr><tr><td>[EMPTY_CELL]</td><td>1:07 ± 0:08</td><td>6:26 ± 0:22</td><td>4:57 ± 0:14</td><td>12:36 ± 0:41</td><td>0:06 ± 0:03</td></tr><tr><td>[EMPTY_CELL]</td><td>1:03 ± 0:05</td><td>6:28 ± 0:26</td><td>4:40 ± 0:16</td><td>12:20 ± 0:22</td><td>0:08 ± 0:04</td></tr><tr><td>[EMPTY_CELL]</td><td>1:02 ± 0:13</td><td>6:33 ± 0:31</td><td>5:03 ± 0:34</td><td>12:47 ± 0:49</td><td>0:08 ± 0:02</td></tr><tr><td>[EMPTY_CELL]</td><td>1:04 ± 0:11</td><td>6:24 ± 0:32</td><td>4:50 ± 0:25</td><td>12:27 ± 1:01</td><td>0:08 ± 0:04</td></tr><tr><td>[EMPTY_CELL]</td><td>1:05 ± 0:11</td><td>6:35 ± 0:24</td><td>4:51 ± 0:40</td><td>12:39 ± 1:02</td><td>0:08 ± 0:04</td></tr><tr><td>[EMPTY_CELL]</td><td>1:05 ± 0:05</td><td>6:59 ± 0:32</td><td>5:30 ± 0:35</td><td>13:43 ± 1:08</td><td>0:09 ± 0:03</td></tr><tr><td>[EMPTY_CELL]</td><td>1:03 ± 0:06</td><td>6:53 ± 0:28</td><td>5:15 ± 0:41</td><td>13:19 ± 0:54</td><td>0:08 ± 0:04</td></tr><tr><td>[EMPTY_CELL]</td><td>1:04 ± 0:07</td><td>6:49 ± 0:30</td><td>5:09 ± 0:46</td><td>13:14 ± 1:16</td><td>0:11 ± 0:04</td></tr><tr><td>[EMPTY_CELL]</td><td>1:03 ± 0:06</td><td>6:34 ± 0:15</td><td>5:28 ± 0:19</td><td>13:13 ± 0:28</td><td>0:07 ± 0:03</td></tr><tr><td>[EMPTY_CELL]</td><td>1:14 ± 0:09</td><td>7:18 ± 0:32</td><td>5:29 ± 0:31</td><td>14:15 ± 0:59</td><td>0:12 ± 0:04</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Country</b>\", \"bbox\": [1, 4, 31, 14]}, {\"cell\": \"<b>Swimming split time (h:min)</b>\", \"bbox\": [76, 4, 149, 23]}, {\"cell\": \"<b>Cycling split time (h:min)</b>\", \"bbox\": [171, 4, 232, 23]}, {\"cell\": \"<b>Running split time (h:min)</b>\", \"bbox\": [255, 4, 320, 23]}, {\"cell\": \"<b>Overall race time (h:min)</b>\", \"bbox\": [343, 4, 403, 23]}, {\"cell\": \"<b>Transition time (h:min)</b>\", \"bbox\": [426, 4, 480, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 28, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 43, 32, 53]}, {\"cell\": \"1:03 ± 0:14\", \"bbox\": [76, 43, 114, 53]}, {\"cell\": \"6:48 ± 0:26\", \"bbox\": [171, 43, 209, 53]}, {\"cell\": \"4:52 ± 0:21\", \"bbox\": [255, 43, 293, 53]}, {\"cell\": \"13:01 ± 0:17\", \"bbox\": [343, 43, 385, 53]}, {\"cell\": \"0:06 ± 0:03\", \"bbox\": [426, 43, 464, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 37, 65]}, {\"cell\": \"1:10 ± 0:06\", \"bbox\": [76, 55, 114, 65]}, {\"cell\": \"7:03 ± 0:28\", \"bbox\": [171, 55, 209, 65]}, {\"cell\": \"4:23 ± 0:36\", \"bbox\": [255, 55, 293, 65]}, {\"cell\": \"13:46 ± 0:55\", \"bbox\": [343, 55, 385, 65]}, {\"cell\": \"0:09 ± 0:03\", \"bbox\": [426, 55, 464, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 68, 46, 77]}, {\"cell\": \"1:07 ± 0:15\", \"bbox\": [76, 68, 114, 77]}, {\"cell\": \"8:06 ± 1:01\", \"bbox\": [171, 68, 209, 77]}, {\"cell\": \"6:12 ± 0:43\", \"bbox\": [255, 68, 293, 77]}, {\"cell\": \"15:51 ± 1:19\", \"bbox\": [343, 68, 385, 77]}, {\"cell\": \"0:14 ± 0:08\", \"bbox\": [426, 68, 464, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 17, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 92, 32, 101]}, {\"cell\": \"1:03 ± 0:07\", \"bbox\": [76, 92, 114, 101]}, {\"cell\": \"5:34 ± 0:12\", \"bbox\": [171, 92, 209, 101]}, {\"cell\": \"4:14 ± 0:12\", \"bbox\": [255, 92, 293, 101]}, {\"cell\": \"10:56 ± 0:14\", \"bbox\": [343, 92, 385, 101]}, {\"cell\": \"0:03 ± 0:01\", \"bbox\": [426, 92, 464, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 104, 46, 113]}, {\"cell\": \"1:07 ± 0:08\", \"bbox\": [76, 104, 114, 113]}, {\"cell\": \"6:26 ± 0:22\", \"bbox\": [171, 104, 209, 113]}, {\"cell\": \"4:57 ± 0:14\", \"bbox\": [255, 104, 293, 113]}, {\"cell\": \"12:36 ± 0:41\", \"bbox\": [343, 104, 385, 113]}, {\"cell\": \"0:06 ± 0:03\", \"bbox\": [426, 104, 464, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 116, 37, 125]}, {\"cell\": \"1:03 ± 0:05\", \"bbox\": [76, 116, 114, 125]}, {\"cell\": \"6:28 ± 0:26\", \"bbox\": [171, 116, 209, 125]}, {\"cell\": \"4:40 ± 0:16\", \"bbox\": [255, 116, 293, 125]}, {\"cell\": \"12:20 ± 0:22\", \"bbox\": [343, 116, 385, 125]}, {\"cell\": \"0:08 ± 0:04\", \"bbox\": [426, 116, 464, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 128, 28, 137]}, {\"cell\": \"1:02 ± 0:13\", \"bbox\": [76, 128, 114, 137]}, {\"cell\": \"6:33 ± 0:31\", \"bbox\": [171, 128, 209, 137]}, {\"cell\": \"5:03 ± 0:34\", \"bbox\": [255, 128, 293, 137]}, {\"cell\": \"12:47 ± 0:49\", \"bbox\": [343, 128, 385, 137]}, {\"cell\": \"0:08 ± 0:02\", \"bbox\": [426, 128, 464, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 140, 33, 150]}, {\"cell\": \"1:04 ± 0:11\", \"bbox\": [76, 140, 114, 150]}, {\"cell\": \"6:24 ± 0:32\", \"bbox\": [171, 140, 209, 150]}, {\"cell\": \"4:50 ± 0:25\", \"bbox\": [255, 140, 293, 150]}, {\"cell\": \"12:27 ± 1:01\", \"bbox\": [343, 140, 385, 150]}, {\"cell\": \"0:08 ± 0:04\", \"bbox\": [426, 140, 464, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 152, 37, 162]}, {\"cell\": \"1:05 ± 0:11\", \"bbox\": [76, 152, 114, 162]}, {\"cell\": \"6:35 ± 0:24\", \"bbox\": [171, 152, 209, 162]}, {\"cell\": \"4:51 ± 0:40\", \"bbox\": [255, 152, 293, 162]}, {\"cell\": \"12:39 ± 1:02\", \"bbox\": [343, 152, 385, 162]}, {\"cell\": \"0:08 ± 0:04\", \"bbox\": [426, 152, 464, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 164, 21, 174]}, {\"cell\": \"1:05 ± 0:05\", \"bbox\": [76, 164, 114, 174]}, {\"cell\": \"6:59 ± 0:32\", \"bbox\": [171, 164, 209, 174]}, {\"cell\": \"5:30 ± 0:35\", \"bbox\": [255, 164, 293, 174]}, {\"cell\": \"13:43 ± 1:08\", \"bbox\": [343, 164, 385, 174]}, {\"cell\": \"0:09 ± 0:03\", \"bbox\": [426, 164, 464, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 176, 60, 186]}, {\"cell\": \"1:03 ± 0:06\", \"bbox\": [76, 176, 114, 186]}, {\"cell\": \"6:53 ± 0:28\", \"bbox\": [171, 176, 209, 186]}, {\"cell\": \"5:15 ± 0:41\", \"bbox\": [255, 176, 293, 186]}, {\"cell\": \"13:19 ± 0:54\", \"bbox\": [343, 176, 385, 186]}, {\"cell\": \"0:08 ± 0:04\", \"bbox\": [426, 176, 464, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 189, 29, 198]}, {\"cell\": \"1:04 ± 0:07\", \"bbox\": [76, 189, 114, 198]}, {\"cell\": \"6:49 ± 0:30\", \"bbox\": [171, 189, 209, 198]}, {\"cell\": \"5:09 ± 0:46\", \"bbox\": [255, 189, 293, 198]}, {\"cell\": \"13:14 ± 1:16\", \"bbox\": [343, 189, 385, 198]}, {\"cell\": \"0:11 ± 0:04\", \"bbox\": [426, 189, 464, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 201, 34, 210]}, {\"cell\": \"1:03 ± 0:06\", \"bbox\": [76, 201, 114, 210]}, {\"cell\": \"6:34 ± 0:15\", \"bbox\": [171, 201, 209, 210]}, {\"cell\": \"5:28 ± 0:19\", \"bbox\": [255, 201, 293, 210]}, {\"cell\": \"13:13 ± 0:28\", \"bbox\": [343, 201, 385, 210]}, {\"cell\": \"0:07 ± 0:03\", \"bbox\": [426, 201, 464, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 213, 25, 222]}, {\"cell\": \"1:14 ± 0:09\", \"bbox\": [76, 213, 114, 222]}, {\"cell\": \"7:18 ± 0:32\", \"bbox\": [171, 213, 209, 222]}, {\"cell\": \"5:29 ± 0:31\", \"bbox\": [255, 213, 293, 222]}, {\"cell\": \"14:15 ± 0:59\", \"bbox\": [343, 213, 385, 222]}, {\"cell\": \"0:12 ± 0:04\", \"bbox\": [426, 213, 464, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4556721_008_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}494{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Method</b></td><td colspan=\\\"8\\\"><b>LGA</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Brisbane</b></td><td colspan=\\\"2\\\"><b>Townsville</b></td><td colspan=\\\"2\\\"><b>Redland</b></td><td colspan=\\\"2\\\"><b>Emerald</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>1996</b></td><td><b>1998/99</b></td><td><b>1997</b></td><td><b>2000</b></td><td><b>1996</b></td><td><b>2001</b></td><td><b>1997</b></td><td><b>2007</b></td></tr></thead><tbody><tr><td>DSP</td><td>5-21</td><td>50-4</td><td>6-20</td><td>2-11</td><td>7-18</td><td>[EMPTY_CELL]</td><td>1-7</td><td>5-9</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9-24</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>HLM-A</td><td>10</td><td>ND</td><td>12</td><td>2-6</td><td>14-17</td><td>[EMPTY_CELL]</td><td>1-5</td><td>6-9</td></tr><tr><td>[EMPTY_CELL]</td><td>12-13</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>17-21</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>HLM-B</td><td>10</td><td>20</td><td>12</td><td>2-6</td><td>14-17</td><td>[EMPTY_CELL]</td><td>1-5</td><td>6-9</td></tr><tr><td>[EMPTY_CELL]</td><td>12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>18-21</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>C1-A</td><td>3-12</td><td>46-47</td><td>12</td><td>2-8</td><td>5-7</td><td>[EMPTY_CELL]</td><td>1-2</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>50</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9-10</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>14</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>C1-B</td><td>5-14</td><td>46-48</td><td>ND</td><td>2-9</td><td>5-11</td><td>[EMPTY_CELL]</td><td>1-5</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>50</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>C2-A</td><td>5-16</td><td>47-3</td><td>ND</td><td>2-15</td><td>5-16</td><td>[EMPTY_CELL]</td><td>1-4</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7-8</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>C2-B</td><td>5-15</td><td>47-48</td><td>ND</td><td>2-15</td><td>5-7</td><td>[EMPTY_CELL]</td><td>1-3</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>50-51</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9-15</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>C2-C</td><td>5-21</td><td>47-4</td><td>ND</td><td>2-16</td><td>5-16</td><td>[EMPTY_CELL]</td><td>1-6</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7-12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>C2-D</td><td>5-21</td><td>47-48</td><td>ND</td><td>2-16</td><td>5-15</td><td>[EMPTY_CELL]</td><td>1-6</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>50-3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>NBC-A</td><td>5-13</td><td>7</td><td>4</td><td>2-7</td><td>ND</td><td>[EMPTY_CELL]</td><td>ND</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9-12</td><td>6-12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>NBC-B</td><td>5-15</td><td>1-16</td><td>4-15</td><td>2-8</td><td>10-15</td><td>[EMPTY_CELL]</td><td>2-3</td><td>ND</td></tr><tr><td>NBC-C</td><td>5-16</td><td>1-17</td><td>6-16</td><td>2-9</td><td>10-16</td><td>[EMPTY_CELL]</td><td>ND</td><td>ND</td></tr><tr><td>NBC-D</td><td>5-17</td><td>51-19</td><td>6-17</td><td>2-11</td><td>9-18</td><td>[EMPTY_CELL]</td><td>3-5</td><td>ND</td></tr><tr><td>NBC-E</td><td>6-17</td><td>47-7</td><td>9-12</td><td>2-8</td><td>ND</td><td>[EMPTY_CELL]</td><td>ND</td><td>9-10</td></tr><tr><td>NBC-F</td><td>6-20</td><td>47-8</td><td>9-15</td><td>2-9</td><td>ND</td><td>[EMPTY_CELL]</td><td>ND</td><td>9-11</td></tr><tr><td>POD-A</td><td>6-22</td><td>1-4</td><td>4</td><td>2-8</td><td>13-18</td><td>[EMPTY_CELL]</td><td>2-6</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7</td><td>6-10</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>14-21</td><td>12-13</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>23</td><td>15</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>POD-B</td><td>7-24</td><td>1-7</td><td>4-15</td><td>2-9</td><td>14-20</td><td>[EMPTY_CELL]</td><td>1-8</td><td>ND</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>14-23</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>SaTScan</td><td>5-24</td><td>50-23</td><td>6-19</td><td>2-12</td><td>9-21</td><td>[EMPTY_CELL]</td><td>1-11</td><td>3-17</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Method</b>\", \"bbox\": [1, 4, 29, 12]}, {\"cell\": \"<b>LGA</b>\", \"bbox\": [127, 4, 144, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Brisbane</b>\", \"bbox\": [46, 17, 78, 25]}, {\"cell\": \"<b>Townsville</b>\", \"bbox\": [97, 17, 136, 25]}, {\"cell\": \"<b>Redland</b>\", \"bbox\": [151, 17, 181, 25]}, {\"cell\": \"<b>Emerald</b>\", \"bbox\": [199, 17, 229, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>1996</b>\", \"bbox\": [35, 31, 54, 38]}, {\"cell\": \"<b>1998/99</b>\", \"bbox\": [60, 31, 90, 38]}, {\"cell\": \"<b>1997</b>\", \"bbox\": [95, 31, 114, 38]}, {\"cell\": \"<b>2000</b>\", \"bbox\": [119, 31, 138, 38]}, {\"cell\": \"<b>1996</b>\", \"bbox\": [144, 31, 163, 38]}, {\"cell\": \"<b>2001</b>\", \"bbox\": [169, 31, 187, 38]}, {\"cell\": \"<b>1997</b>\", \"bbox\": [193, 31, 212, 38]}, {\"cell\": \"<b>2007</b>\", \"bbox\": [217, 31, 236, 38]}, {\"cell\": \"DSP\", \"bbox\": [1, 44, 15, 51]}, {\"cell\": \"5-21\", \"bbox\": [37, 44, 53, 51]}, {\"cell\": \"50-4\", \"bbox\": [67, 44, 83, 51]}, {\"cell\": \"6-20\", \"bbox\": [97, 44, 112, 51]}, {\"cell\": \"2-11\", \"bbox\": [121, 44, 137, 51]}, {\"cell\": \"7-18\", \"bbox\": [145, 44, 161, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 44, 186, 51]}, {\"cell\": \"1-7\", \"bbox\": [196, 44, 208, 51]}, {\"cell\": \"5-9\", \"bbox\": [220, 44, 232, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9-24\", \"bbox\": [67, 56, 83, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HLM-A\", \"bbox\": [1, 68, 24, 75]}, {\"cell\": \"10\", \"bbox\": [40, 68, 50, 75]}, {\"cell\": \"ND\", \"bbox\": [69, 68, 81, 75]}, {\"cell\": \"12\", \"bbox\": [100, 68, 109, 75]}, {\"cell\": \"2-6\", \"bbox\": [123, 68, 135, 75]}, {\"cell\": \"14-17\", \"bbox\": [144, 68, 163, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 68, 184, 75]}, {\"cell\": \"1-5\", \"bbox\": [196, 68, 208, 75]}, {\"cell\": \"6-9\", \"bbox\": [220, 68, 232, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12-13\", \"bbox\": [35, 80, 55, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"17-21\", \"bbox\": [35, 92, 55, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HLM-B\", \"bbox\": [1, 104, 23, 111]}, {\"cell\": \"10\", \"bbox\": [40, 104, 50, 111]}, {\"cell\": \"20\", \"bbox\": [70, 104, 80, 111]}, {\"cell\": \"12\", \"bbox\": [100, 104, 109, 111]}, {\"cell\": \"2-6\", \"bbox\": [123, 104, 135, 111]}, {\"cell\": \"14-17\", \"bbox\": [144, 104, 163, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 104, 184, 111]}, {\"cell\": \"1-5\", \"bbox\": [196, 104, 208, 111]}, {\"cell\": \"6-9\", \"bbox\": [220, 104, 232, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12\", \"bbox\": [40, 116, 50, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [173, 116, 183, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18-21\", \"bbox\": [35, 128, 55, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"C1-A\", \"bbox\": [1, 139, 18, 147]}, {\"cell\": \"3-12\", \"bbox\": [37, 139, 53, 147]}, {\"cell\": \"46-47\", \"bbox\": [65, 139, 84, 147]}, {\"cell\": \"12\", \"bbox\": [100, 139, 109, 147]}, {\"cell\": \"2-8\", \"bbox\": [123, 139, 135, 147]}, {\"cell\": \"5-7\", \"bbox\": [147, 139, 159, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 139, 181, 147]}, {\"cell\": \"1-2\", \"bbox\": [196, 139, 208, 147]}, {\"cell\": \"ND\", \"bbox\": [220, 139, 232, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [70, 151, 80, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9-10\", \"bbox\": [145, 151, 161, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14\", \"bbox\": [148, 163, 158, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"C1-B\", \"bbox\": [1, 175, 17, 183]}, {\"cell\": \"5-14\", \"bbox\": [37, 175, 53, 183]}, {\"cell\": \"46-48\", \"bbox\": [65, 175, 84, 183]}, {\"cell\": \"ND\", \"bbox\": [99, 175, 111, 183]}, {\"cell\": \"2-9\", \"bbox\": [123, 175, 135, 183]}, {\"cell\": \"5-11\", \"bbox\": [145, 175, 161, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 175, 181, 183]}, {\"cell\": \"1-5\", \"bbox\": [196, 175, 208, 183]}, {\"cell\": \"ND\", \"bbox\": [220, 175, 232, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [70, 187, 80, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"C2-A\", \"bbox\": [1, 199, 18, 207]}, {\"cell\": \"5-16\", \"bbox\": [37, 199, 53, 207]}, {\"cell\": \"47-3\", \"bbox\": [67, 199, 83, 207]}, {\"cell\": \"ND\", \"bbox\": [99, 199, 111, 207]}, {\"cell\": \"2-15\", \"bbox\": [121, 199, 137, 207]}, {\"cell\": \"5-16\", \"bbox\": [145, 199, 161, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 199, 184, 207]}, {\"cell\": \"1-4\", \"bbox\": [196, 199, 208, 207]}, {\"cell\": \"ND\", \"bbox\": [220, 199, 232, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7-8\", \"bbox\": [69, 211, 81, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"C2-B\", \"bbox\": [1, 223, 17, 231]}, {\"cell\": \"5-15\", \"bbox\": [37, 223, 53, 231]}, {\"cell\": \"47-48\", \"bbox\": [65, 223, 84, 231]}, {\"cell\": \"ND\", \"bbox\": [99, 223, 111, 231]}, {\"cell\": \"2-15\", \"bbox\": [121, 223, 137, 231]}, {\"cell\": \"5-7\", \"bbox\": [147, 223, 159, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 223, 184, 231]}, {\"cell\": \"1-3\", \"bbox\": [196, 223, 208, 231]}, {\"cell\": \"ND\", \"bbox\": [220, 223, 232, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50-51\", \"bbox\": [65, 235, 84, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9-15\", \"bbox\": [145, 235, 161, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"C2-C\", \"bbox\": [1, 247, 18, 255]}, {\"cell\": \"5-21\", \"bbox\": [37, 247, 53, 255]}, {\"cell\": \"47-4\", \"bbox\": [67, 247, 83, 255]}, {\"cell\": \"ND\", \"bbox\": [99, 247, 111, 255]}, {\"cell\": \"2-16\", \"bbox\": [121, 247, 137, 255]}, {\"cell\": \"5-16\", \"bbox\": [145, 247, 161, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 247, 184, 255]}, {\"cell\": \"1-6\", \"bbox\": [196, 247, 208, 255]}, {\"cell\": \"ND\", \"bbox\": [220, 247, 232, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7-12\", \"bbox\": [67, 259, 83, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"C2-D\", \"bbox\": [1, 271, 18, 279]}, {\"cell\": \"5-21\", \"bbox\": [37, 271, 53, 279]}, {\"cell\": \"47-48\", \"bbox\": [65, 271, 84, 279]}, {\"cell\": \"ND\", \"bbox\": [99, 271, 111, 279]}, {\"cell\": \"2-16\", \"bbox\": [121, 271, 137, 279]}, {\"cell\": \"5-15\", \"bbox\": [145, 271, 161, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 271, 184, 279]}, {\"cell\": \"1-6\", \"bbox\": [196, 271, 208, 279]}, {\"cell\": \"ND\", \"bbox\": [220, 271, 232, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50-3\", \"bbox\": [67, 283, 83, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NBC-A\", \"bbox\": [1, 295, 23, 303]}, {\"cell\": \"5-13\", \"bbox\": [37, 295, 53, 303]}, {\"cell\": \"7\", \"bbox\": [72, 295, 78, 303]}, {\"cell\": \"4\", \"bbox\": [102, 295, 108, 303]}, {\"cell\": \"2-7\", \"bbox\": [123, 295, 135, 303]}, {\"cell\": \"ND\", \"bbox\": [147, 295, 159, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 295, 184, 303]}, {\"cell\": \"ND\", \"bbox\": [196, 295, 208, 303]}, {\"cell\": \"ND\", \"bbox\": [220, 295, 232, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9-12\", \"bbox\": [67, 307, 83, 314]}, {\"cell\": \"6-12\", \"bbox\": [97, 307, 112, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NBC-B\", \"bbox\": [1, 319, 22, 326]}, {\"cell\": \"5-15\", \"bbox\": [37, 319, 53, 326]}, {\"cell\": \"1-16\", \"bbox\": [67, 319, 83, 326]}, {\"cell\": \"4-15\", \"bbox\": [97, 319, 112, 326]}, {\"cell\": \"2-8\", \"bbox\": [123, 319, 135, 326]}, {\"cell\": \"10-15\", \"bbox\": [144, 319, 163, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 319, 184, 326]}, {\"cell\": \"2-3\", \"bbox\": [196, 319, 208, 326]}, {\"cell\": \"ND\", \"bbox\": [220, 319, 232, 326]}, {\"cell\": \"NBC-C\", \"bbox\": [1, 331, 23, 338]}, {\"cell\": \"5-16\", \"bbox\": [37, 331, 53, 338]}, {\"cell\": \"1-17\", \"bbox\": [67, 331, 83, 338]}, {\"cell\": \"6-16\", \"bbox\": [97, 331, 112, 338]}, {\"cell\": \"2-9\", \"bbox\": [123, 331, 135, 338]}, {\"cell\": \"10-16\", \"bbox\": [144, 331, 163, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 331, 181, 338]}, {\"cell\": \"ND\", \"bbox\": [196, 331, 208, 338]}, {\"cell\": \"ND\", \"bbox\": [220, 331, 232, 338]}, {\"cell\": \"NBC-D\", \"bbox\": [1, 343, 23, 350]}, {\"cell\": \"5-17\", \"bbox\": [37, 343, 53, 350]}, {\"cell\": \"51-19\", \"bbox\": [65, 343, 84, 350]}, {\"cell\": \"6-17\", \"bbox\": [97, 343, 112, 350]}, {\"cell\": \"2-11\", \"bbox\": [121, 343, 137, 350]}, {\"cell\": \"9-18\", \"bbox\": [145, 343, 161, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 343, 186, 350]}, {\"cell\": \"3-5\", \"bbox\": [196, 343, 208, 350]}, {\"cell\": \"ND\", \"bbox\": [220, 343, 232, 350]}, {\"cell\": \"NBC-E\", \"bbox\": [1, 355, 22, 362]}, {\"cell\": \"6-17\", \"bbox\": [37, 355, 53, 362]}, {\"cell\": \"47-7\", \"bbox\": [67, 355, 83, 362]}, {\"cell\": \"9-12\", \"bbox\": [97, 355, 112, 362]}, {\"cell\": \"2-8\", \"bbox\": [123, 355, 135, 362]}, {\"cell\": \"ND\", \"bbox\": [147, 355, 159, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 355, 184, 362]}, {\"cell\": \"ND\", \"bbox\": [196, 355, 208, 362]}, {\"cell\": \"9-10\", \"bbox\": [218, 355, 234, 362]}, {\"cell\": \"NBC-F\", \"bbox\": [1, 367, 22, 374]}, {\"cell\": \"6-20\", \"bbox\": [37, 367, 53, 374]}, {\"cell\": \"47-8\", \"bbox\": [67, 367, 83, 374]}, {\"cell\": \"9-15\", \"bbox\": [97, 367, 112, 374]}, {\"cell\": \"2-9\", \"bbox\": [123, 367, 135, 374]}, {\"cell\": \"ND\", \"bbox\": [147, 367, 159, 374]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 367, 184, 374]}, {\"cell\": \"ND\", \"bbox\": [196, 367, 208, 374]}, {\"cell\": \"9-11\", \"bbox\": [218, 367, 234, 374]}, {\"cell\": \"POD-A\", \"bbox\": [1, 379, 24, 386]}, {\"cell\": \"6-22\", \"bbox\": [37, 379, 53, 386]}, {\"cell\": \"1-4\", \"bbox\": [69, 379, 81, 386]}, {\"cell\": \"4\", \"bbox\": [102, 379, 108, 386]}, {\"cell\": \"2-8\", \"bbox\": [123, 379, 135, 386]}, {\"cell\": \"13-18\", \"bbox\": [144, 379, 163, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 379, 184, 386]}, {\"cell\": \"2-6\", \"bbox\": [196, 379, 208, 386]}, {\"cell\": \"ND\", \"bbox\": [220, 379, 232, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [72, 391, 78, 398]}, {\"cell\": \"6-10\", \"bbox\": [97, 391, 112, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 391, 188, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14-21\", \"bbox\": [65, 403, 84, 410]}, {\"cell\": \"12-13\", \"bbox\": [95, 403, 114, 410]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 403, 188, 410]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"23\", \"bbox\": [70, 415, 80, 422]}, {\"cell\": \"15\", \"bbox\": [100, 415, 109, 422]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 415, 188, 422]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"POD-B\", \"bbox\": [1, 426, 23, 434]}, {\"cell\": \"7-24\", \"bbox\": [37, 426, 53, 434]}, {\"cell\": \"1-7\", \"bbox\": [69, 426, 81, 434]}, {\"cell\": \"4-15\", \"bbox\": [97, 426, 112, 434]}, {\"cell\": \"2-9\", \"bbox\": [123, 426, 135, 434]}, {\"cell\": \"14-20\", \"bbox\": [144, 426, 163, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 426, 186, 434]}, {\"cell\": \"1-8\", \"bbox\": [196, 426, 208, 434]}, {\"cell\": \"ND\", \"bbox\": [220, 426, 232, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14-23\", \"bbox\": [65, 438, 84, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 438, 188, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [173, 450, 183, 458]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SaTScan\", \"bbox\": [1, 462, 28, 470]}, {\"cell\": \"5-24\", \"bbox\": [37, 462, 53, 470]}, {\"cell\": \"50-23\", \"bbox\": [65, 462, 84, 470]}, {\"cell\": \"6-19\", \"bbox\": [97, 462, 112, 470]}, {\"cell\": \"2-12\", \"bbox\": [121, 462, 137, 470]}, {\"cell\": \"9-21\", \"bbox\": [145, 462, 161, 470]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 462, 186, 470]}, {\"cell\": \"1-11\", \"bbox\": [194, 462, 210, 470]}, {\"cell\": \"3-17\", \"bbox\": [218, 462, 234, 470]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3004813_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}495{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b> Pregabalin </b></td><td><b> Placebo </b></td><td><b><i>P</i> value </b></td></tr></thead><tbody><tr><td>Patients' age, Mean ± SD</td><td>41.1 ± 14.1</td><td>[EMPTY_CELL]</td><td>0.212</td></tr><tr><td>Frequency of men, frequancy (%)</td><td>28 (70)</td><td>[EMPTY_CELL]</td><td>0.108</td></tr><tr><td>Pain intensity at the time of recovery, Mean ± SD</td><td>3.2 ± 1.5</td><td>[EMPTY_CELL]</td><td>< 0.001</td></tr><tr><td>Pain intensity 30 min after the operation, Mean ± SD</td><td>3.1 ± 1.6</td><td>[EMPTY_CELL]</td><td>< 0.001</td></tr><tr><td>Pain intensity 2 hours after the operation, Mean ± SD</td><td>2.7 ± 1.4</td><td>[EMPTY_CELL]</td><td>< 0.001</td></tr><tr><td>Pain intensity 4 hours after the operation, Mean ± SD</td><td>2.5 ± 1.5</td><td>[EMPTY_CELL]</td><td>< 0.001</td></tr><tr><td>Pain intensity 12 hours after the operation, Mean ± SD</td><td>1.02 ± 1</td><td>[EMPTY_CELL]</td><td>< 0.001</td></tr><tr><td>Pain intensity 24 hours after the operation, Mean ± SD</td><td>0.6 ± 0.8</td><td>[EMPTY_CELL]</td><td>< 0.001</td></tr><tr><td>Nausea, frequency (%)</td><td>5 (12.5)</td><td>[EMPTY_CELL]</td><td>0.003</td></tr><tr><td>Vomiting, frequency (%)</td><td>1 (2.5)</td><td>[EMPTY_CELL]</td><td>0.09</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b> Pregabalin </b>\", \"bbox\": [207, 4, 251, 14]}, {\"cell\": \"<b> Placebo </b>\", \"bbox\": [296, 4, 328, 14]}, {\"cell\": \"<b><i>P</i> value </b>\", \"bbox\": [386, 4, 415, 14]}, {\"cell\": \"Patients' age, Mean ± SD\", \"bbox\": [4, 17, 90, 27]}, {\"cell\": \"41.1 ± 14.1\", \"bbox\": [207, 17, 240, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 17, 333, 27]}, {\"cell\": \"0.212\", \"bbox\": [386, 17, 405, 27]}, {\"cell\": \"Frequency of men, frequancy (%)\", \"bbox\": [4, 29, 121, 39]}, {\"cell\": \"28 (70)\", \"bbox\": [207, 29, 233, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 29, 326, 39]}, {\"cell\": \"0.108\", \"bbox\": [386, 29, 406, 39]}, {\"cell\": \"Pain intensity at the time of recovery, Mean ± SD\", \"bbox\": [4, 42, 176, 52]}, {\"cell\": \"3.2 ± 1.5\", \"bbox\": [207, 42, 234, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 42, 323, 52]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 42, 414, 52]}, {\"cell\": \"Pain intensity 30 min after the operation, Mean ± SD\", \"bbox\": [4, 54, 191, 64]}, {\"cell\": \"3.1 ± 1.6\", \"bbox\": [207, 54, 235, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 54, 319, 64]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 54, 414, 64]}, {\"cell\": \"Pain intensity 2 hours after the operation, Mean ± SD\", \"bbox\": [4, 67, 192, 77]}, {\"cell\": \"2.7 ± 1.4\", \"bbox\": [207, 67, 235, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 67, 325, 77]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 67, 414, 77]}, {\"cell\": \"Pain intensity 4 hours after the operation, Mean ± SD\", \"bbox\": [4, 79, 192, 89]}, {\"cell\": \"2.5 ± 1.5\", \"bbox\": [207, 79, 235, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 79, 322, 89]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 79, 414, 89]}, {\"cell\": \"Pain intensity 12 hours after the operation, Mean ± SD\", \"bbox\": [4, 92, 195, 102]}, {\"cell\": \"1.02 ± 1\", \"bbox\": [207, 92, 232, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 92, 324, 102]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 92, 414, 102]}, {\"cell\": \"Pain intensity 24 hours after the operation, Mean ± SD\", \"bbox\": [4, 104, 196, 114]}, {\"cell\": \"0.6 ± 0.8\", \"bbox\": [207, 104, 239, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 104, 323, 114]}, {\"cell\": \"< 0.001\", \"bbox\": [386, 104, 414, 114]}, {\"cell\": \"Nausea, frequency (%)\", \"bbox\": [4, 117, 83, 127]}, {\"cell\": \"5 (12.5)\", \"bbox\": [207, 117, 232, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 117, 320, 127]}, {\"cell\": \"0.003\", \"bbox\": [386, 117, 408, 127]}, {\"cell\": \"Vomiting, frequency (%)\", \"bbox\": [4, 130, 90, 140]}, {\"cell\": \"1 (2.5)\", \"bbox\": [207, 130, 228, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 130, 322, 140]}, {\"cell\": \"0.09\", \"bbox\": [386, 130, 404, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3821116_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}496{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Microglia (load (%))</b></td><td><b>Meningeal CAA</b></td><td><b>Parenchymal CAA</b></td><td><b>Diffuse plaques</b></td><td><b>Neuritic plaques</b></td><td><b>Tangles</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">A. No dementia</td></tr><tr><td rowspan=\\\"2\\\">Iba1</td><td>[EMPTY_CELL]</td><td><i>0.72</i> (<i>0.65</i>; <i>0.79</i>)</td><td><b>1.2</b> (<b>1.15</b>; <b>1.25</b>)</td><td><b>1.07</b> (<b>1.02</b>; <b>1.13</b>)</td><td><i>0.74</i> (<i>0.68</i>; <i>0.80</i>)</td></tr><tr><td>0.064</td><td>[EMPTY_CELL]</td><td><<b>0.001</b></td><td><b>0.003</b></td><td><<i>0.001</i></td></tr><tr><td rowspan=\\\"2\\\">CD68</td><td>[EMPTY_CELL]</td><td><i>0.00</i> (<i>0.00</i>; <i>0.01</i>)</td><td><b>8.62</b> (<b>3.83</b>; <b>19.40</b>)</td><td><i>0.02</i> (<i>0.01</i>; <i>0.07</i>)</td><td>1.07 (0.06; 19.41)</td></tr><tr><td><i>0.049</i></td><td>[EMPTY_CELL]</td><td><<b>0.001</b></td><td><<i>0.001</i></td><td>0.965</td></tr><tr><td rowspan=\\\"2\\\">HLA-DR</td><td>[EMPTY_CELL]</td><td>0.79 (0.56; 1.12)</td><td><b>2.24</b> (<b>1.77</b>; <b>2.83</b>)</td><td>1.02 (0.91; 1.15)</td><td><i>0.07</i> (<i>0.02</i>; <i>0.25</i>)</td></tr><tr><td><<i>0.001</i></td><td>[EMPTY_CELL]</td><td><<b>0.001</b></td><td>0.728</td><td><<i>0.001</i></td></tr><tr><td rowspan=\\\"2\\\">MSR-A</td><td>[EMPTY_CELL]</td><td><i>0.03</i> (<i>0.00</i>; <i>0.35</i>)</td><td>1.42 (0.95; 2.13)</td><td><i>0.24</i> (<i>0.14</i>; <i>0.40</i>)</td><td>0.44 (0.10; 1.96)</td></tr><tr><td><i>0.001</i></td><td>[EMPTY_CELL]</td><td>0.09</td><td><<i>0.001</i></td><td>0.283</td></tr><tr><td rowspan=\\\"2\\\">CD64</td><td>[EMPTY_CELL]</td><td><i>0.70</i> (<i>0.52</i>; <i>0.94</i>)</td><td><b>1.86</b> (<b>1.57</b>; <b>2.20</b>)</td><td><i>0.70</i> (<i>0.58</i>; <i>0.86</i>)</td><td>0.77 (0.45; 1.32)</td></tr><tr><td>0.505</td><td>[EMPTY_CELL]</td><td><<b>0.001</b></td><td><i>0.001</i></td><td>0.343</td></tr><tr><td colspan=\\\"6\\\">B. Dementia with Alzheimer’s pathology</td></tr><tr><td rowspan=\\\"2\\\">Iba1</td><td>[EMPTY_CELL]</td><td><b>1.53</b> (<b>1.43</b>; <b>1.64</b>)</td><td><b>1.37</b> (<b>1.24</b>; <b>1.51</b>)</td><td><b>1.5</b> (<b>1.40</b>; <b>1.61</b>)</td><td><b>1.14</b> (<b>1.07</b>; <b>1.21</b>)</td></tr><tr><td><<b>0.001</b></td><td>[EMPTY_CELL]</td><td><<b>0.001</b></td><td><<b>0.001</b></td><td><<b>0.001</b></td></tr><tr><td rowspan=\\\"2\\\">CD68</td><td>[EMPTY_CELL]</td><td>1.40 (0.43; 4.55)</td><td><i>0.17</i> (<i>0.06</i>; <i>0.48</i>)</td><td><b>31.65</b> (<b>11.54</b>; <b>86.81</b>)</td><td><b>49.28</b> (<b>19.43</b>; <b>124.99</b>)</td></tr><tr><td>0.892</td><td>[EMPTY_CELL]</td><td><i>0.001</i></td><td><<b>0.001</b></td><td><<b>0.001</b></td></tr><tr><td rowspan=\\\"2\\\">HLA-DR</td><td>[EMPTY_CELL]</td><td>1.07 (0.94; 1.22)</td><td><b>3.22</b> (<b>2.50</b>; <b>4.15</b>)</td><td><b>2.28</b> (<b>1.65</b>; <b>3.14</b>)</td><td><b>1.74</b> (<b>1.42</b>; <b>2.13</b>)</td></tr><tr><td><<i>0.001</i></td><td>[EMPTY_CELL]</td><td><<b>0.001</b></td><td><<b>0.001</b></td><td><<b>0.001</b></td></tr><tr><td rowspan=\\\"2\\\">MSR-A</td><td>[EMPTY_CELL]</td><td><b>2.24</b> (<b>1.03</b>; <b>4.84</b>)</td><td><b>2.44</b> (<b>1.15</b>; <b>5.21</b>)</td><td><b>10.31</b> (<b>5.03</b>; <b>21.11</b>)</td><td><b>3.24</b> (<b>1.74</b>; <b>6.04</b>)</td></tr><tr><td><b>0.008</b></td><td>[EMPTY_CELL]</td><td><b>0.021</b></td><td><<b>0.001</b></td><td><<b>0.001</b></td></tr><tr><td rowspan=\\\"2\\\">CD64</td><td>[EMPTY_CELL]</td><td><b>2.14</b> (<b>1.63</b>; <b>2.80</b>)</td><td><b>21.59</b> (<b>14.22</b>; <b>32.78</b>)</td><td><b>4.39</b> (<b>3.39</b>; <b>5.70</b>)</td><td>1.27 (0.99; 1.62)</td></tr><tr><td><<b>0.001</b></td><td>[EMPTY_CELL]</td><td><<b>0.001</b></td><td><<b>0.001</b></td><td>0.056</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Microglia (load (%))</b>\", \"bbox\": [1, 4, 64, 13]}, {\"cell\": \"<b>Meningeal CAA</b>\", \"bbox\": [83, 4, 135, 13]}, {\"cell\": \"<b>Parenchymal CAA</b>\", \"bbox\": [158, 4, 217, 13]}, {\"cell\": \"<b>Diffuse plaques</b>\", \"bbox\": [236, 4, 287, 13]}, {\"cell\": \"<b>Neuritic plaques</b>\", \"bbox\": [324, 4, 378, 13]}, {\"cell\": \"<b>Tangles</b>\", \"bbox\": [412, 4, 438, 13]}, {\"cell\": \"A. No dementia\", \"bbox\": [1, 17, 53, 27]}, {\"cell\": \"Iba1\", \"bbox\": [1, 31, 16, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 31, 134, 41]}, {\"cell\": \"<i>0.72</i> (<i>0.65</i>; <i>0.79</i>)\", \"bbox\": [158, 31, 208, 41]}, {\"cell\": \"<b>1.2</b> (<b>1.15</b>; <b>1.25</b>)\", \"bbox\": [236, 31, 288, 41]}, {\"cell\": \"<b>1.07</b> (<b>1.02</b>; <b>1.13</b>)\", \"bbox\": [324, 31, 380, 41]}, {\"cell\": \"<i>0.74</i> (<i>0.68</i>; <i>0.80</i>)\", \"bbox\": [412, 31, 461, 41]}, {\"cell\": \"0.064\", \"bbox\": [83, 45, 102, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 45, 181, 55]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [236, 45, 262, 55]}, {\"cell\": \"<b>0.003</b>\", \"bbox\": [324, 45, 345, 53]}, {\"cell\": \"<<i>0.001</i>\", \"bbox\": [412, 45, 434, 55]}, {\"cell\": \"CD68\", \"bbox\": [1, 59, 20, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 59, 133, 69]}, {\"cell\": \"<i>0.00</i> (<i>0.00</i>; <i>0.01</i>)\", \"bbox\": [158, 59, 208, 69]}, {\"cell\": \"<b>8.62</b> (<b>3.83</b>; <b>19.40</b>)\", \"bbox\": [236, 59, 296, 69]}, {\"cell\": \"<i>0.02</i> (<i>0.01</i>; <i>0.07</i>)\", \"bbox\": [324, 59, 373, 69]}, {\"cell\": \"1.07 (0.06; 19.41)\", \"bbox\": [412, 59, 466, 69]}, {\"cell\": \"<i>0.049</i>\", \"bbox\": [83, 74, 101, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 73, 181, 83]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [236, 73, 262, 83]}, {\"cell\": \"<<i>0.001</i>\", \"bbox\": [324, 73, 347, 83]}, {\"cell\": \"0.965\", \"bbox\": [412, 73, 430, 83]}, {\"cell\": \"HLA-DR\", \"bbox\": [1, 87, 27, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 87, 133, 97]}, {\"cell\": \"0.79 (0.56; 1.12)\", \"bbox\": [158, 87, 209, 97]}, {\"cell\": \"<b>2.24</b> (<b>1.77</b>; <b>2.83</b>)\", \"bbox\": [236, 87, 292, 97]}, {\"cell\": \"1.02 (0.91; 1.15)\", \"bbox\": [324, 87, 375, 97]}, {\"cell\": \"<i>0.07</i> (<i>0.02</i>; <i>0.25</i>)\", \"bbox\": [412, 87, 461, 97]}, {\"cell\": \"<<i>0.001</i>\", \"bbox\": [83, 101, 106, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 101, 177, 111]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [236, 101, 262, 111]}, {\"cell\": \"0.728\", \"bbox\": [324, 101, 343, 111]}, {\"cell\": \"<<i>0.001</i>\", \"bbox\": [412, 101, 434, 111]}, {\"cell\": \"MSR-A\", \"bbox\": [0, 115, 23, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 115, 133, 125]}, {\"cell\": \"<i>0.03</i> (<i>0.00</i>; <i>0.35</i>)\", \"bbox\": [158, 115, 208, 125]}, {\"cell\": \"1.42 (0.95; 2.13)\", \"bbox\": [236, 115, 287, 125]}, {\"cell\": \"<i>0.24</i> (<i>0.14</i>; <i>0.40</i>)\", \"bbox\": [324, 115, 373, 125]}, {\"cell\": \"0.44 (0.10; 1.96)\", \"bbox\": [412, 115, 462, 125]}, {\"cell\": \"<i>0.001</i>\", \"bbox\": [83, 130, 101, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 130, 176, 137]}, {\"cell\": \"0.09\", \"bbox\": [236, 129, 251, 139]}, {\"cell\": \"<<i>0.001</i>\", \"bbox\": [324, 129, 347, 139]}, {\"cell\": \"0.283\", \"bbox\": [412, 129, 430, 139]}, {\"cell\": \"CD64\", \"bbox\": [1, 143, 20, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 143, 134, 153]}, {\"cell\": \"<i>0.70</i> (<i>0.52</i>; <i>0.94</i>)\", \"bbox\": [158, 143, 208, 153]}, {\"cell\": \"<b>1.86</b> (<b>1.57</b>; <b>2.20</b>)\", \"bbox\": [236, 143, 292, 153]}, {\"cell\": \"<i>0.70</i> (<i>0.58</i>; <i>0.86</i>)\", \"bbox\": [324, 143, 373, 153]}, {\"cell\": \"0.77 (0.45; 1.32)\", \"bbox\": [412, 143, 462, 153]}, {\"cell\": \"0.505\", \"bbox\": [83, 157, 102, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 158, 176, 165]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [236, 157, 262, 167]}, {\"cell\": \"<i>0.001</i>\", \"bbox\": [324, 158, 342, 165]}, {\"cell\": \"0.343\", \"bbox\": [412, 157, 430, 167]}, {\"cell\": \"B. Dementia with Alzheimer’s pathology\", \"bbox\": [0, 171, 131, 181]}, {\"cell\": \"Iba1\", \"bbox\": [1, 185, 16, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 185, 139, 195]}, {\"cell\": \"<b>1.53</b> (<b>1.43</b>; <b>1.64</b>)\", \"bbox\": [158, 185, 214, 195]}, {\"cell\": \"<b>1.37</b> (<b>1.24</b>; <b>1.51</b>)\", \"bbox\": [236, 185, 292, 195]}, {\"cell\": \"<b>1.5</b> (<b>1.40</b>; <b>1.61</b>)\", \"bbox\": [324, 185, 376, 195]}, {\"cell\": \"<b>1.14</b> (<b>1.07</b>; <b>1.21</b>)\", \"bbox\": [412, 185, 467, 195]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [83, 199, 109, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 199, 184, 209]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [236, 199, 262, 209]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [324, 199, 349, 209]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [412, 199, 437, 209]}, {\"cell\": \"CD68\", \"bbox\": [1, 213, 20, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 213, 134, 223]}, {\"cell\": \"1.40 (0.43; 4.55)\", \"bbox\": [158, 213, 209, 223]}, {\"cell\": \"<i>0.17</i> (<i>0.06</i>; <i>0.48</i>)\", \"bbox\": [236, 213, 286, 223]}, {\"cell\": \"<b>31.65</b> (<b>11.54</b>; <b>86.81</b>)\", \"bbox\": [324, 213, 393, 223]}, {\"cell\": \"<b>49.28</b> (<b>19.43</b>; <b>124.99</b>)\", \"bbox\": [412, 213, 484, 223]}, {\"cell\": \"0.892\", \"bbox\": [83, 227, 102, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 227, 177, 237]}, {\"cell\": \"<i>0.001</i>\", \"bbox\": [236, 227, 254, 235]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [324, 227, 349, 237]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [412, 227, 437, 237]}, {\"cell\": \"HLA-DR\", \"bbox\": [1, 241, 27, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 241, 133, 251]}, {\"cell\": \"1.07 (0.94; 1.22)\", \"bbox\": [158, 241, 209, 251]}, {\"cell\": \"<b>3.22</b> (<b>2.50</b>; <b>4.15</b>)\", \"bbox\": [236, 241, 292, 251]}, {\"cell\": \"<b>2.28</b> (<b>1.65</b>; <b>3.14</b>)\", \"bbox\": [324, 241, 380, 251]}, {\"cell\": \"<b>1.74</b> (<b>1.42</b>; <b>2.13</b>)\", \"bbox\": [412, 241, 467, 251]}, {\"cell\": \"<<i>0.001</i>\", \"bbox\": [83, 255, 106, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 255, 177, 265]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [236, 255, 262, 265]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [324, 255, 349, 265]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [412, 255, 437, 265]}, {\"cell\": \"MSR-A\", \"bbox\": [1, 269, 23, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 269, 139, 279]}, {\"cell\": \"<b>2.24</b> (<b>1.03</b>; <b>4.84</b>)\", \"bbox\": [158, 269, 214, 279]}, {\"cell\": \"<b>2.44</b> (<b>1.15</b>; <b>5.21</b>)\", \"bbox\": [236, 269, 292, 279]}, {\"cell\": \"<b>10.31</b> (<b>5.03</b>; <b>21.11</b>)\", \"bbox\": [324, 269, 388, 279]}, {\"cell\": \"<b>3.24</b> (<b>1.74</b>; <b>6.04</b>)\", \"bbox\": [412, 269, 467, 279]}, {\"cell\": \"<b>0.008</b>\", \"bbox\": [83, 283, 104, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 283, 179, 291]}, {\"cell\": \"<b>0.021</b>\", \"bbox\": [236, 283, 257, 291]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [324, 283, 349, 293]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [412, 283, 437, 293]}, {\"cell\": \"CD64\", \"bbox\": [1, 297, 20, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [83, 297, 139, 307]}, {\"cell\": \"<b>2.14</b> (<b>1.63</b>; <b>2.80</b>)\", \"bbox\": [158, 297, 214, 307]}, {\"cell\": \"<b>21.59</b> (<b>14.22</b>; <b>32.78</b>)\", \"bbox\": [236, 297, 305, 307]}, {\"cell\": \"<b>4.39</b> (<b>3.39</b>; <b>5.70</b>)\", \"bbox\": [324, 297, 380, 307]}, {\"cell\": \"1.27 (0.99; 1.62)\", \"bbox\": [412, 297, 462, 307]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [83, 311, 109, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 311, 184, 321]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [236, 311, 262, 321]}, {\"cell\": \"<<b>0.001</b>\", \"bbox\": [324, 311, 349, 321]}, {\"cell\": \"0.056\", \"bbox\": [412, 311, 430, 321]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4890505_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}497{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variable</b></td><td colspan=\\\"2\\\"><b>Childhood Traumatic Events</b></td><td colspan=\\\"2\\\"><b>Adulthood Traumatic Events</b></td><td colspan=\\\"2\\\"><b>Traumatic Events Involving an Infant</b></td><td colspan=\\\"2\\\"><b>Lifetime Traumatic Events</b></td></tr><tr><td><b>Yes (<i>n</i> = 14)</b></td><td><b>No (<i>n</i> = 14)</b></td><td><b>Yes (<i>n</i> = 7)</b></td><td><b>No (<i>n</i> = 21)</b></td><td><b>Yes (<i>n</i> = 4)</b></td><td><b>No (<i>n</i> = 24)</b></td><td><b>Yes (<i>n</i> = 5)</b></td><td><b>No (<i>n</i> = 23)</b></td></tr></thead><tbody><tr><td colspan=\\\"9\\\">Impaired Bonding</td></tr><tr><td> 4 weeks postpartum</td><td>[EMPTY_CELL]</td><td>2.57 (1.56)</td><td>1.43 (0.98)</td><td>3.71 (5.26)</td><td>9.25 (10.69)</td><td>2.12 (1.73)</td><td>7.60 (9.97)</td><td>2.17 (1.75)</td></tr><tr><td> 8 weeks postpartum</td><td>[EMPTY_CELL]</td><td>4.14 (1.96)</td><td>4.86 (3.44)</td><td>4.95 (3.88)</td><td>9.25 (4.99)*</td><td>4.21 (3.02)</td><td>7.40 (5.98)</td><td>4.39 (2.95)</td></tr><tr><td colspan=\\\"9\\\">Rejection and Anger</td></tr><tr><td> 4 weeks postpartum</td><td>[EMPTY_CELL]</td><td>1.21 (2.39)</td><td>0.14 (0.38)</td><td>0.86 (2.03)</td><td>3.25 (3.95)</td><td>0.25 (0.61)</td><td>2.80 (3.56)*</td><td>0.22 (0.60)</td></tr><tr><td> 8 weeks postpartum</td><td>[EMPTY_CELL]</td><td>0.79 (1.37)</td><td>0.14 (0.38)*</td><td>1.86 (2.80)</td><td>3.00 (5.35)</td><td>1.17 (1.81)</td><td>2.20 (4.92)</td><td>1.26 (1.82)</td></tr><tr><td colspan=\\\"9\\\">Anxiety about Care</td></tr><tr><td> 4 weeks postpartum</td><td>[EMPTY_CELL]</td><td>0.86 (1.70)</td><td>0.29 (0.76)</td><td>1.57 (2.27)</td><td>4.50 (3.42)*</td><td>0.71 (1.16)</td><td>2.80 (3.35)</td><td>0.91 (1.59)</td></tr><tr><td> 8 weeks postpartum</td><td>[EMPTY_CELL]</td><td>1.14 (1.79)</td><td>0.00 (0.00)*</td><td>1.90 (1.90)</td><td>2.75 (2.50)</td><td>1.21 (1.67)</td><td>1.60 (2.61)</td><td>1.39 (1.70)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"<b>Childhood Traumatic Events</b>\", \"bbox\": [80, 4, 173, 13]}, {\"cell\": \"<b>Adulthood Traumatic Events</b>\", \"bbox\": [178, 4, 271, 13]}, {\"cell\": \"<b>Traumatic Events Involving an Infant</b>\", \"bbox\": [276, 4, 395, 13]}, {\"cell\": \"<b>Lifetime Traumatic Events</b>\", \"bbox\": [400, 4, 484, 13]}, {\"cell\": \"<b>Yes (<i>n</i> = 14)</b>\", \"bbox\": [80, 17, 119, 27]}, {\"cell\": \"<b>No (<i>n</i> = 14)</b>\", \"bbox\": [130, 17, 167, 27]}, {\"cell\": \"<b>Yes (<i>n</i> = 7)</b>\", \"bbox\": [178, 17, 213, 27]}, {\"cell\": \"<b>No (<i>n</i> = 21)</b>\", \"bbox\": [227, 17, 264, 27]}, {\"cell\": \"<b>Yes (<i>n</i> = 4)</b>\", \"bbox\": [276, 17, 311, 27]}, {\"cell\": \"<b>No (<i>n</i> = 24)</b>\", \"bbox\": [338, 17, 375, 27]}, {\"cell\": \"<b>Yes (<i>n</i> = 5)</b>\", \"bbox\": [400, 17, 435, 27]}, {\"cell\": \"<b>No (<i>n</i> = 23)</b>\", \"bbox\": [444, 17, 482, 27]}, {\"cell\": \"Impaired Bonding\", \"bbox\": [1, 30, 60, 40]}, {\"cell\": \" 4 weeks postpartum\", \"bbox\": [8, 44, 76, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 44, 115, 54]}, {\"cell\": \"2.57 (1.56)\", \"bbox\": [130, 44, 164, 54]}, {\"cell\": \"1.43 (0.98)\", \"bbox\": [178, 44, 212, 54]}, {\"cell\": \"3.71 (5.26)\", \"bbox\": [227, 44, 261, 54]}, {\"cell\": \"9.25 (10.69)\", \"bbox\": [276, 44, 314, 54]}, {\"cell\": \"2.12 (1.73)\", \"bbox\": [338, 44, 372, 54]}, {\"cell\": \"7.60 (9.97)\", \"bbox\": [400, 44, 434, 54]}, {\"cell\": \"2.17 (1.75)\", \"bbox\": [444, 44, 478, 54]}, {\"cell\": \" 8 weeks postpartum\", \"bbox\": [8, 58, 76, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 58, 115, 68]}, {\"cell\": \"4.14 (1.96)\", \"bbox\": [130, 58, 164, 68]}, {\"cell\": \"4.86 (3.44)\", \"bbox\": [178, 58, 212, 68]}, {\"cell\": \"4.95 (3.88)\", \"bbox\": [227, 58, 261, 68]}, {\"cell\": \"9.25 (4.99)*\", \"bbox\": [276, 58, 313, 68]}, {\"cell\": \"4.21 (3.02)\", \"bbox\": [338, 58, 372, 68]}, {\"cell\": \"7.40 (5.98)\", \"bbox\": [400, 58, 434, 68]}, {\"cell\": \"4.39 (2.95)\", \"bbox\": [444, 58, 478, 68]}, {\"cell\": \"Rejection and Anger\", \"bbox\": [1, 72, 68, 82]}, {\"cell\": \" 4 weeks postpartum\", \"bbox\": [8, 86, 76, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 86, 115, 96]}, {\"cell\": \"1.21 (2.39)\", \"bbox\": [130, 86, 164, 96]}, {\"cell\": \"0.14 (0.38)\", \"bbox\": [178, 86, 212, 96]}, {\"cell\": \"0.86 (2.03)\", \"bbox\": [227, 86, 261, 96]}, {\"cell\": \"3.25 (3.95)\", \"bbox\": [276, 86, 310, 96]}, {\"cell\": \"0.25 (0.61)\", \"bbox\": [338, 86, 372, 96]}, {\"cell\": \"2.80 (3.56)*\", \"bbox\": [400, 86, 437, 96]}, {\"cell\": \"0.22 (0.60)\", \"bbox\": [444, 86, 478, 96]}, {\"cell\": \" 8 weeks postpartum\", \"bbox\": [8, 100, 76, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 100, 115, 110]}, {\"cell\": \"0.79 (1.37)\", \"bbox\": [130, 100, 164, 110]}, {\"cell\": \"0.14 (0.38)*\", \"bbox\": [178, 100, 215, 110]}, {\"cell\": \"1.86 (2.80)\", \"bbox\": [227, 100, 261, 110]}, {\"cell\": \"3.00 (5.35)\", \"bbox\": [276, 100, 310, 110]}, {\"cell\": \"1.17 (1.81)\", \"bbox\": [338, 100, 372, 110]}, {\"cell\": \"2.20 (4.92)\", \"bbox\": [400, 100, 434, 110]}, {\"cell\": \"1.26 (1.82)\", \"bbox\": [444, 100, 478, 110]}, {\"cell\": \"Anxiety about Care\", \"bbox\": [1, 114, 64, 124]}, {\"cell\": \" 4 weeks postpartum\", \"bbox\": [8, 128, 76, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 128, 115, 138]}, {\"cell\": \"0.86 (1.70)\", \"bbox\": [130, 128, 164, 138]}, {\"cell\": \"0.29 (0.76)\", \"bbox\": [178, 128, 212, 138]}, {\"cell\": \"1.57 (2.27)\", \"bbox\": [227, 128, 261, 138]}, {\"cell\": \"4.50 (3.42)*\", \"bbox\": [276, 128, 313, 138]}, {\"cell\": \"0.71 (1.16)\", \"bbox\": [338, 128, 372, 138]}, {\"cell\": \"2.80 (3.35)\", \"bbox\": [400, 128, 434, 138]}, {\"cell\": \"0.91 (1.59)\", \"bbox\": [444, 128, 478, 138]}, {\"cell\": \" 8 weeks postpartum\", \"bbox\": [8, 142, 76, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 142, 115, 152]}, {\"cell\": \"1.14 (1.79)\", \"bbox\": [130, 142, 164, 152]}, {\"cell\": \"0.00 (0.00)*\", \"bbox\": [178, 142, 215, 152]}, {\"cell\": \"1.90 (1.90)\", \"bbox\": [227, 142, 261, 152]}, {\"cell\": \"2.75 (2.50)\", \"bbox\": [276, 142, 310, 152]}, {\"cell\": \"1.21 (1.67)\", \"bbox\": [338, 142, 372, 152]}, {\"cell\": \"1.60 (2.61)\", \"bbox\": [400, 142, 434, 152]}, {\"cell\": \"1.39 (1.70)\", \"bbox\": [444, 142, 478, 152]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5796394_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}498{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Fixed Effects (Predictors)</b></td><td><b>Model Vaccination 1</b></td><td><b>Model Vaccination 2</b></td><td><b>Model Vaccination 3</b></td></tr></thead><tbody><tr><td>Intercept</td><td>3.18 **</td><td>[EMPTY_CELL]</td><td>3.20 **</td></tr><tr><td>Attitudes</td><td>0.66 **</td><td>[EMPTY_CELL]</td><td>0.60 **</td></tr><tr><td>Self-efficacy</td><td>0.00</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>Subjective norms</td><td>0.03 *</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>Descriptive norms</td><td>0.01</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>CSS slice group norms</td><td>-</td><td>[EMPTY_CELL]</td><td>0.45 *</td></tr><tr><td>Motivations to comply x CSS slice group norms</td><td>-</td><td>[EMPTY_CELL]</td><td>0.07 **</td></tr><tr><td>Cognitive work group identification x CSS slice group norms</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>Affective work group identification x CSS slice group norms</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>CSS consensus group norms</td><td>-</td><td>[EMPTY_CELL]</td><td>1.59 *</td></tr><tr><td>CSS consensus group norm separation x CSS slice group norms</td><td>-</td><td>[EMPTY_CELL]</td><td>−6.40 **</td></tr><tr><td><i>R</i><sup>2</sup> (Additional level-1 variance explained compared to null model)</td><td>23.5%</td><td>[EMPTY_CELL]</td><td>25.5%</td></tr><tr><td><i>R</i><sup>2</sup> (Additional level-2 variance explained compared to null model)</td><td>-</td><td>[EMPTY_CELL]</td><td>7.6%</td></tr><tr><td>Random Effects</td><td>Deviance</td><td>[EMPTY_CELL]</td><td>χ<i><sup>2</sup></i> (<i>df</i>)</td></tr><tr><td>Model Vaccination 1: Intercept, <i>u</i><sub>0</sub></td><td>516.692</td><td>[EMPTY_CELL]</td><td>36.5 (19) **</td></tr><tr><td>Level 1 variance, <i>r<sub>ij</sub></i></td><td>-</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Model Vaccination 2: Intercept <i>u<sub>0</sub></i></td><td>525.874</td><td>[EMPTY_CELL]</td><td>38.4 (19) **</td></tr><tr><td>Level 1 variance, <i>r<sub>ij</sub></i></td><td>-</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Model Vaccination 3: Intercept, <i>u</i><sub>0</sub></td><td>520.307</td><td>[EMPTY_CELL]</td><td>30.7 (18) *</td></tr><tr><td>Level 1 variance, <i>r<sub>ij</sub></i></td><td>-</td><td>[EMPTY_CELL]</td><td>-</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Fixed Effects (Predictors)</b>\", \"bbox\": [80, 15, 180, 25]}, {\"cell\": \"<b>Model Vaccination 1</b>\", \"bbox\": [262, 7, 317, 32]}, {\"cell\": \"<b>Model Vaccination 2</b>\", \"bbox\": [326, 7, 381, 32]}, {\"cell\": \"<b>Model Vaccination 3</b>\", \"bbox\": [391, 7, 446, 32]}, {\"cell\": \"Intercept\", \"bbox\": [113, 38, 147, 48]}, {\"cell\": \"3.18 **\", \"bbox\": [279, 38, 308, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 38, 373, 48]}, {\"cell\": \"3.20 **\", \"bbox\": [412, 38, 441, 48]}, {\"cell\": \"Attitudes\", \"bbox\": [112, 53, 147, 63]}, {\"cell\": \"0.66 **\", \"bbox\": [279, 53, 308, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 53, 373, 63]}, {\"cell\": \"0.60 **\", \"bbox\": [412, 53, 441, 63]}, {\"cell\": \"Self-efficacy\", \"bbox\": [106, 68, 154, 78]}, {\"cell\": \"0.00\", \"bbox\": [285, 68, 302, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 68, 356, 78]}, {\"cell\": \"-\", \"bbox\": [416, 68, 421, 78]}, {\"cell\": \"Subjective norms\", \"bbox\": [97, 83, 162, 93]}, {\"cell\": \"0.03 *\", \"bbox\": [281, 83, 306, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 83, 356, 93]}, {\"cell\": \"-\", \"bbox\": [416, 83, 421, 93]}, {\"cell\": \"Descriptive norms\", \"bbox\": [96, 98, 164, 108]}, {\"cell\": \"0.01\", \"bbox\": [284, 98, 302, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 98, 356, 108]}, {\"cell\": \"-\", \"bbox\": [416, 98, 421, 108]}, {\"cell\": \"CSS slice group norms\", \"bbox\": [87, 113, 172, 123]}, {\"cell\": \"-\", \"bbox\": [287, 113, 292, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 110, 368, 124]}, {\"cell\": \"0.45 *\", \"bbox\": [414, 113, 439, 123]}, {\"cell\": \"Motivations to comply x CSS slice group norms\", \"bbox\": [42, 128, 218, 138]}, {\"cell\": \"-\", \"bbox\": [287, 128, 292, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [347, 128, 371, 138]}, {\"cell\": \"0.07 **\", \"bbox\": [412, 128, 441, 138]}, {\"cell\": \"Cognitive work group identification x CSS slice group norms\", \"bbox\": [18, 143, 241, 153]}, {\"cell\": \"-\", \"bbox\": [287, 143, 292, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [346, 143, 371, 153]}, {\"cell\": \"-\", \"bbox\": [416, 143, 421, 153]}, {\"cell\": \"Affective work group identification x CSS slice group norms\", \"bbox\": [19, 158, 241, 168]}, {\"cell\": \"-\", \"bbox\": [287, 158, 292, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 155, 368, 169]}, {\"cell\": \"-\", \"bbox\": [416, 158, 421, 168]}, {\"cell\": \"CSS consensus group norms\", \"bbox\": [77, 173, 182, 183]}, {\"cell\": \"-\", \"bbox\": [287, 173, 292, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 173, 356, 183]}, {\"cell\": \"1.59 *\", \"bbox\": [415, 173, 439, 183]}, {\"cell\": \"CSS consensus group norm separation x CSS slice group norms\", \"bbox\": [14, 188, 246, 198]}, {\"cell\": \"-\", \"bbox\": [287, 188, 292, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 188, 355, 198]}, {\"cell\": \"−6.40 **\", \"bbox\": [401, 185, 435, 199]}, {\"cell\": \"<i>R</i><sup>2</sup> (Additional level-1 variance explained compared to null model)\", \"bbox\": [9, 202, 251, 213]}, {\"cell\": \"23.5%\", \"bbox\": [277, 203, 302, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 203, 366, 213]}, {\"cell\": \"25.5%\", \"bbox\": [406, 203, 431, 213]}, {\"cell\": \"<i>R</i><sup>2</sup> (Additional level-2 variance explained compared to null model)\", \"bbox\": [9, 217, 251, 228]}, {\"cell\": \"-\", \"bbox\": [287, 218, 292, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 218, 356, 228]}, {\"cell\": \"7.6%\", \"bbox\": [408, 218, 429, 228]}, {\"cell\": \"Random Effects\", \"bbox\": [100, 233, 160, 243]}, {\"cell\": \"Deviance\", \"bbox\": [271, 233, 307, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 233, 370, 243]}, {\"cell\": \"χ<i><sup>2</sup></i> (<i>df</i>)\", \"bbox\": [406, 230, 430, 244]}, {\"cell\": \"Model Vaccination 1: Intercept, <i>u</i><sub>0</sub>\", \"bbox\": [66, 248, 193, 258]}, {\"cell\": \"516.692\", \"bbox\": [274, 248, 305, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 248, 364, 258]}, {\"cell\": \"36.5 (19) **\", \"bbox\": [395, 248, 441, 258]}, {\"cell\": \"Level 1 variance, <i>r<sub>ij</sub></i>\", \"bbox\": [93, 263, 166, 273]}, {\"cell\": \"-\", \"bbox\": [287, 263, 292, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 263, 364, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Model Vaccination 2: Intercept <i>u<sub>0</sub></i>\", \"bbox\": [68, 278, 192, 288]}, {\"cell\": \"525.874\", \"bbox\": [274, 278, 305, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 278, 364, 288]}, {\"cell\": \"38.4 (19) **\", \"bbox\": [395, 278, 441, 288]}, {\"cell\": \"Level 1 variance, <i>r<sub>ij</sub></i>\", \"bbox\": [93, 293, 166, 303]}, {\"cell\": \"-\", \"bbox\": [287, 293, 292, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 293, 364, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Model Vaccination 3: Intercept, <i>u</i><sub>0</sub>\", \"bbox\": [66, 308, 193, 318]}, {\"cell\": \"520.307\", \"bbox\": [274, 308, 305, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 308, 364, 318]}, {\"cell\": \"30.7 (18) *\", \"bbox\": [397, 308, 439, 318]}, {\"cell\": \"Level 1 variance, <i>r<sub>ij</sub></i>\", \"bbox\": [93, 323, 166, 333]}, {\"cell\": \"-\", \"bbox\": [287, 323, 292, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 323, 364, 333]}, {\"cell\": \"-\", \"bbox\": [416, 323, 421, 333]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4586695_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}499{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td><b><i>N</i> (%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10 (4.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>118 (51.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>105 (45.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>112 (48.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>121 (51.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>61 (26.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>172 (73.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>31 (13.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>80 (34.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>122 (52.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>33 (14.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>53 (22.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>106 (45.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>41 (17.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>119 (51.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>114 (48.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (1.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>203 (87.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>27 (11.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>199 (85.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>11 (4.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>23 (9.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>13 (5.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>46 (19.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>144 (61.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>30 (12.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>28 (12.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>128 (54.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>75 (32.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (0.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>109 (46.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>79 (33.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>23 (9.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>8 (3.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>14 (6.0)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 2, 56, 12]}, {\"cell\": \"<b><i>N</i> (%)</b>\", \"bbox\": [207, 2, 232, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 14, 48, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 27, 38, 37]}, {\"cell\": \"10 (4.3)\", \"bbox\": [204, 27, 235, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 39, 45, 50]}, {\"cell\": \"118 (51.0)\", \"bbox\": [200, 39, 239, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 52, 42, 62]}, {\"cell\": \"105 (45.1)\", \"bbox\": [200, 52, 239, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 64, 29, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 77, 38, 87]}, {\"cell\": \"112 (48.1)\", \"bbox\": [200, 77, 239, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 89, 30, 100]}, {\"cell\": \"121 (51.9)\", \"bbox\": [200, 89, 239, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 101, 66, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 114, 23, 124]}, {\"cell\": \"61 (26.2)\", \"bbox\": [202, 114, 237, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 126, 24, 137]}, {\"cell\": \"172 (73.8)\", \"bbox\": [200, 126, 239, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 139, 105, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 151, 111, 162]}, {\"cell\": \"31 (13.3)\", \"bbox\": [202, 151, 237, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 164, 135, 174]}, {\"cell\": \"80 (34.3)\", \"bbox\": [202, 164, 237, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 176, 76, 187]}, {\"cell\": \"122 (52.4)\", \"bbox\": [200, 176, 239, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 189, 80, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 201, 15, 212]}, {\"cell\": \"33 (14.1)\", \"bbox\": [202, 201, 237, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 214, 18, 224]}, {\"cell\": \"53 (22.7)\", \"bbox\": [202, 214, 237, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 226, 22, 237]}, {\"cell\": \"106 (45.5)\", \"bbox\": [200, 226, 239, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 239, 21, 249]}, {\"cell\": \"41 (17.6)\", \"bbox\": [202, 239, 237, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 251, 135, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 263, 24, 274]}, {\"cell\": \"119 (51.1)\", \"bbox\": [200, 263, 239, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 276, 23, 286]}, {\"cell\": \"114 (48.9)\", \"bbox\": [200, 276, 239, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 288, 110, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 301, 24, 311]}, {\"cell\": \"3 (1.3)\", \"bbox\": [207, 301, 232, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 313, 23, 324]}, {\"cell\": \"203 (87.1)\", \"bbox\": [200, 313, 239, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 326, 60, 336]}, {\"cell\": \"27 (11.6)\", \"bbox\": [202, 326, 237, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 338, 81, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 351, 40, 361]}, {\"cell\": \"199 (85.4)\", \"bbox\": [200, 351, 239, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 363, 63, 373]}, {\"cell\": \"11 (4.7)\", \"bbox\": [204, 363, 235, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 375, 60, 386]}, {\"cell\": \"23 (9.9)\", \"bbox\": [204, 375, 235, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 388, 88, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 400, 30, 411]}, {\"cell\": \"13 (5.6)\", \"bbox\": [204, 400, 235, 411]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 413, 33, 423]}, {\"cell\": \"46 (19.8)\", \"bbox\": [202, 413, 237, 423]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 425, 45, 436]}, {\"cell\": \"144 (61.8)\", \"bbox\": [200, 425, 239, 436]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 438, 49, 448]}, {\"cell\": \"30 (12.9)\", \"bbox\": [202, 438, 237, 448]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 450, 73, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 463, 107, 473]}, {\"cell\": \"28 (12.0)\", \"bbox\": [202, 463, 237, 473]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 475, 119, 486]}, {\"cell\": \"128 (54.9)\", \"bbox\": [200, 475, 239, 486]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 488, 118, 498]}, {\"cell\": \"75 (32.2)\", \"bbox\": [202, 488, 237, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 500, 165, 511]}, {\"cell\": \"2 (0.9)\", \"bbox\": [207, 500, 232, 511]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 512, 77, 523]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 525, 77, 536]}, {\"cell\": \"109 (46.8)\", \"bbox\": [200, 525, 239, 536]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 537, 98, 548]}, {\"cell\": \"79 (33.9)\", \"bbox\": [202, 537, 237, 548]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 550, 78, 560]}, {\"cell\": \"23 (9.9)\", \"bbox\": [204, 550, 235, 560]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 562, 95, 573]}, {\"cell\": \"8 (3.4)\", \"bbox\": [207, 562, 232, 573]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 575, 145, 585]}, {\"cell\": \"14 (6.0)\", \"bbox\": [204, 575, 235, 585]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3124224_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}500{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Improved (n = 133)</b></td><td colspan=\\\"3\\\"><b>Unchanged or worsened (n = 28)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>SRM</b></td><td><b>RI</b></td><td><b>ES</b></td><td><b>SRM</b></td><td><b>RI</b></td></tr><tr><td><b>Brief Pain Inventory</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Pain severity index<sup>1</sup></td><td>[EMPTY_CELL]</td><td>1.71</td><td>2.17</td><td>1.00</td><td>1.36</td><td>1.39</td></tr><tr><td>Function interference index<sup>2</sup></td><td>[EMPTY_CELL]</td><td>1.56</td><td>2.16</td><td>1.27</td><td>1.40</td><td>1.56</td></tr><tr><td><b>WOMAC</b><sup>3</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Pain</td><td>[EMPTY_CELL]</td><td>-2.82</td><td>-3.01</td><td>-1.61</td><td>-1.84</td><td>-2.07</td></tr><tr><td>Stiffness</td><td>[EMPTY_CELL]</td><td>-1.90</td><td>-1.76</td><td>-1.56</td><td>-1.25</td><td>-1.33</td></tr><tr><td>Physical function</td><td>[EMPTY_CELL]</td><td>-2.75</td><td>-2.53</td><td>-1.35</td><td>-1.53</td><td>-1.50</td></tr><tr><td><b>SF-36 Scale</b><sup>4</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Physical functioning</td><td>[EMPTY_CELL]</td><td>1.68</td><td>2.01</td><td>1.35</td><td>1.53</td><td>1.50</td></tr><tr><td>Role-physical</td><td>[EMPTY_CELL]</td><td>1.02</td><td>1.01</td><td>1.26</td><td>1.19</td><td>1.10</td></tr><tr><td>Bodily pain</td><td>[EMPTY_CELL]</td><td>1.95</td><td>1.80</td><td>2.16</td><td>1.31</td><td>1.17</td></tr><tr><td>General health</td><td>[EMPTY_CELL]</td><td>0.40</td><td>0.43</td><td>-0.36</td><td>-0.41</td><td>-0.42</td></tr><tr><td>Vitality</td><td>[EMPTY_CELL]</td><td>0.88</td><td>1.19</td><td>0.46</td><td>0.58</td><td>0.66</td></tr><tr><td>Social functioning</td><td>[EMPTY_CELL]</td><td>0.97</td><td>0.84</td><td>0.40</td><td>0.50</td><td>0.46</td></tr><tr><td>Role-emotional</td><td>[EMPTY_CELL]</td><td>0.60</td><td>0.40</td><td>0.23</td><td>0.19</td><td>0.18</td></tr><tr><td>Mental health</td><td>[EMPTY_CELL]</td><td>0.69</td><td>0.59</td><td>0.01</td><td>0.01</td><td>0.01</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Improved (n = 133)</b>\", \"bbox\": [168, 4, 237, 13]}, {\"cell\": \"<b>Unchanged or worsened (n = 28)</b>\", \"bbox\": [325, 4, 443, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 17, 155, 27]}, {\"cell\": \"<b>SRM</b>\", \"bbox\": [194, 17, 211, 27]}, {\"cell\": \"<b>RI</b>\", \"bbox\": [251, 17, 259, 27]}, {\"cell\": \"<b>ES</b>\", \"bbox\": [310, 17, 320, 27]}, {\"cell\": \"<b>SRM</b>\", \"bbox\": [375, 17, 392, 27]}, {\"cell\": \"<b>RI</b>\", \"bbox\": [448, 17, 456, 27]}, {\"cell\": \"<b>Brief Pain Inventory</b>\", \"bbox\": [1, 30, 72, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pain severity index<sup>1</sup>\", \"bbox\": [1, 41, 65, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 42, 157, 52]}, {\"cell\": \"1.71\", \"bbox\": [195, 42, 210, 52]}, {\"cell\": \"2.17\", \"bbox\": [248, 42, 262, 52]}, {\"cell\": \"1.00\", \"bbox\": [308, 42, 323, 52]}, {\"cell\": \"1.36\", \"bbox\": [376, 42, 391, 52]}, {\"cell\": \"1.39\", \"bbox\": [445, 42, 460, 52]}, {\"cell\": \"Function interference index<sup>2</sup>\", \"bbox\": [1, 53, 94, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 54, 157, 64]}, {\"cell\": \"1.56\", \"bbox\": [195, 54, 210, 64]}, {\"cell\": \"2.16\", \"bbox\": [248, 54, 262, 64]}, {\"cell\": \"1.27\", \"bbox\": [308, 54, 323, 64]}, {\"cell\": \"1.40\", \"bbox\": [376, 54, 391, 64]}, {\"cell\": \"1.56\", \"bbox\": [445, 54, 460, 64]}, {\"cell\": \"<b>WOMAC</b><sup>3</sup>\", \"bbox\": [1, 65, 34, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pain\", \"bbox\": [1, 78, 16, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 78, 159, 88]}, {\"cell\": \"-2.82\", \"bbox\": [194, 78, 211, 88]}, {\"cell\": \"-3.01\", \"bbox\": [246, 78, 263, 88]}, {\"cell\": \"-1.61\", \"bbox\": [307, 78, 324, 88]}, {\"cell\": \"-1.84\", \"bbox\": [375, 78, 392, 88]}, {\"cell\": \"-2.07\", \"bbox\": [444, 78, 461, 88]}, {\"cell\": \"Stiffness\", \"bbox\": [1, 90, 28, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 90, 159, 100]}, {\"cell\": \"-1.90\", \"bbox\": [194, 90, 211, 100]}, {\"cell\": \"-1.76\", \"bbox\": [246, 90, 263, 100]}, {\"cell\": \"-1.56\", \"bbox\": [307, 90, 324, 100]}, {\"cell\": \"-1.25\", \"bbox\": [375, 90, 392, 100]}, {\"cell\": \"-1.33\", \"bbox\": [444, 90, 461, 100]}, {\"cell\": \"Physical function\", \"bbox\": [1, 102, 57, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 102, 159, 112]}, {\"cell\": \"-2.75\", \"bbox\": [194, 102, 211, 112]}, {\"cell\": \"-2.53\", \"bbox\": [246, 102, 263, 112]}, {\"cell\": \"-1.35\", \"bbox\": [307, 102, 324, 112]}, {\"cell\": \"-1.53\", \"bbox\": [375, 102, 392, 112]}, {\"cell\": \"-1.50\", \"bbox\": [444, 102, 461, 112]}, {\"cell\": \"<b>SF-36 Scale</b><sup>4</sup>\", \"bbox\": [1, 112, 45, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Physical functioning\", \"bbox\": [1, 126, 67, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 126, 157, 136]}, {\"cell\": \"1.68\", \"bbox\": [195, 126, 210, 136]}, {\"cell\": \"2.01\", \"bbox\": [248, 126, 262, 136]}, {\"cell\": \"1.35\", \"bbox\": [308, 126, 323, 136]}, {\"cell\": \"1.53\", \"bbox\": [376, 126, 391, 136]}, {\"cell\": \"1.50\", \"bbox\": [445, 126, 460, 136]}, {\"cell\": \"Role-physical\", \"bbox\": [1, 138, 44, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 138, 157, 148]}, {\"cell\": \"1.02\", \"bbox\": [195, 138, 210, 148]}, {\"cell\": \"1.01\", \"bbox\": [248, 138, 262, 148]}, {\"cell\": \"1.26\", \"bbox\": [308, 138, 323, 148]}, {\"cell\": \"1.19\", \"bbox\": [376, 138, 391, 148]}, {\"cell\": \"1.10\", \"bbox\": [445, 138, 460, 148]}, {\"cell\": \"Bodily pain\", \"bbox\": [1, 150, 38, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 150, 157, 159]}, {\"cell\": \"1.95\", \"bbox\": [195, 150, 210, 159]}, {\"cell\": \"1.80\", \"bbox\": [248, 150, 262, 159]}, {\"cell\": \"2.16\", \"bbox\": [308, 150, 323, 159]}, {\"cell\": \"1.31\", \"bbox\": [376, 150, 391, 159]}, {\"cell\": \"1.17\", \"bbox\": [445, 150, 460, 159]}, {\"cell\": \"General health\", \"bbox\": [1, 162, 49, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 162, 157, 171]}, {\"cell\": \"0.40\", \"bbox\": [195, 162, 210, 171]}, {\"cell\": \"0.43\", \"bbox\": [248, 162, 262, 171]}, {\"cell\": \"-0.36\", \"bbox\": [307, 162, 324, 171]}, {\"cell\": \"-0.41\", \"bbox\": [375, 162, 392, 171]}, {\"cell\": \"-0.42\", \"bbox\": [444, 162, 461, 171]}, {\"cell\": \"Vitality\", \"bbox\": [1, 174, 23, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 174, 157, 183]}, {\"cell\": \"0.88\", \"bbox\": [195, 174, 210, 183]}, {\"cell\": \"1.19\", \"bbox\": [248, 174, 262, 183]}, {\"cell\": \"0.46\", \"bbox\": [308, 174, 323, 183]}, {\"cell\": \"0.58\", \"bbox\": [376, 174, 391, 183]}, {\"cell\": \"0.66\", \"bbox\": [445, 174, 460, 183]}, {\"cell\": \"Social functioning\", \"bbox\": [1, 186, 60, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 186, 157, 195]}, {\"cell\": \"0.97\", \"bbox\": [195, 186, 210, 195]}, {\"cell\": \"0.84\", \"bbox\": [248, 186, 262, 195]}, {\"cell\": \"0.40\", \"bbox\": [308, 186, 323, 195]}, {\"cell\": \"0.50\", \"bbox\": [376, 186, 391, 195]}, {\"cell\": \"0.46\", \"bbox\": [445, 186, 460, 195]}, {\"cell\": \"Role-emotional\", \"bbox\": [1, 198, 51, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 198, 157, 207]}, {\"cell\": \"0.60\", \"bbox\": [195, 198, 210, 207]}, {\"cell\": \"0.40\", \"bbox\": [248, 198, 262, 207]}, {\"cell\": \"0.23\", \"bbox\": [308, 198, 323, 207]}, {\"cell\": \"0.19\", \"bbox\": [376, 198, 391, 207]}, {\"cell\": \"0.18\", \"bbox\": [445, 198, 460, 207]}, {\"cell\": \"Mental health\", \"bbox\": [1, 210, 47, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 210, 157, 219]}, {\"cell\": \"0.69\", \"bbox\": [195, 210, 210, 219]}, {\"cell\": \"0.59\", \"bbox\": [248, 210, 262, 219]}, {\"cell\": \"0.01\", \"bbox\": [308, 210, 323, 219]}, {\"cell\": \"0.01\", \"bbox\": [376, 210, 391, 219]}, {\"cell\": \"0.01\", \"bbox\": [445, 210, 460, 219]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3004874_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}501{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Dimension</b></td><td><b>Definition<sup>a</sup></b></td><td><b>Process evaluation measures</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Number of people and percentage of the target population affected by the environmental change (and the extent to which the individuals reached are representative and include those most at risk).</td><td>Described using proportional reach, i.e., the number and proportion of enrolled students participating in the National School Lunch Program, including the number of low-income<sup>b</sup> students. Data were retrieved from the New York State Department of Education [29].</td></tr><tr><td>[EMPTY_CELL]</td><td>A measure of effects on health behaviors, including positive, negative, and unanticipated consequences.</td><td>Described as potential external influences on intervention effectiveness, i.e., contamination or threats to internal validity and aspects of cafeteria environments aligned with protocol prior to implementation, captured by <i>school environmental assessments</i> and <i>lunchroom audits</i>. Note: Student behavioral outcomes will be reported elsewhere.</td></tr><tr><td>[EMPTY_CELL]</td><td>Number, proportion, and representativeness of settings and intervention agents participating, and the extent to which the settings selected are representative of settings that the target population will use or visit.</td><td>Number and characteristics of participating schools. Also described as the number of interventionists and providers trained in Smarter Lunchrooms protocol and their reported preparedness to initiate intervention, detailed in provider training <i>progression records</i>, interventionist and provider training <i>evaluations</i> and <i>interviews,</i> and <i>contact logs</i>.</td></tr><tr><td>[EMPTY_CELL]</td><td>Level of adherence to implementation guidelines and the extent to which elements are implemented.</td><td>Described as fidelity (including fidelity scores by school service lines) to intervention protocols assessed via <i>contact logs</i>, <i>lunchroom audits</i> and interventionist and provider <i>interviews</i>.</td></tr><tr><td>[EMPTY_CELL]</td><td>At the setting level, the extent to which change is maintained or new barriers are prevented or reduced.</td><td>Described as fidelity scores by school service lines to intervention protocols beyond the intervention end date, assessed via <i>lunchroom audits</i> two weeks post-intervention.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Dimension</b>\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"<b>Definition<sup>a</sup></b>\", \"bbox\": [58, 2, 93, 13]}, {\"cell\": \"<b>Process evaluation measures</b>\", \"bbox\": [272, 4, 366, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 22, 27]}, {\"cell\": \"Number of people and percentage of the target population affected by the environmental change (and the extent to which the individuals reached are representative and include those most at risk).\", \"bbox\": [58, 17, 266, 54]}, {\"cell\": \"Described using proportional reach, i.e., the number and proportion of enrolled students participating in the National School Lunch Program, including the number of low-income<sup>b</sup> students. Data were retrieved from the New York State Department of Education [29].\", \"bbox\": [272, 17, 484, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 67, 43, 77]}, {\"cell\": \"A measure of effects on health behaviors, including positive, negative, and unanticipated consequences.\", \"bbox\": [58, 67, 253, 86]}, {\"cell\": \"Described as potential external influences on intervention effectiveness, i.e., contamination or threats to internal validity and aspects of cafeteria environments aligned with protocol prior to implementation, captured by <i>school environmental assessments</i> and <i>lunchroom audits</i>. Note: Student behavioral outcomes will be reported elsewhere.\", \"bbox\": [272, 67, 470, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 126, 33, 136]}, {\"cell\": \"Number, proportion, and representativeness of settings and intervention agents participating, and the extent to which the settings selected are representative of settings that the target population will use or visit.\", \"bbox\": [58, 126, 259, 163]}, {\"cell\": \"Number and characteristics of participating schools. Also described as the number of interventionists and providers trained in Smarter Lunchrooms protocol and their reported preparedness to initiate intervention, detailed in provider training <i>progression records</i>, interventionist and provider training <i>evaluations</i> and <i>interviews,</i> and <i>contact logs</i>.\", \"bbox\": [272, 126, 484, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 185, 54, 195]}, {\"cell\": \"Level of adherence to implementation guidelines and the extent to which elements are implemented.\", \"bbox\": [58, 185, 268, 204]}, {\"cell\": \"Described as fidelity (including fidelity scores by school service lines) to intervention protocols assessed via <i>contact logs</i>, <i>lunchroom audits</i> and interventionist and provider <i>interviews</i>.\", \"bbox\": [272, 185, 476, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 217, 44, 227]}, {\"cell\": \"At the setting level, the extent to which change is maintained or new barriers are prevented or reduced.\", \"bbox\": [58, 217, 259, 236]}, {\"cell\": \"Described as fidelity scores by school service lines to intervention protocols beyond the intervention end date, assessed via <i>lunchroom audits</i> two weeks post-intervention.\", \"bbox\": [272, 217, 465, 245]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5043616_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}502{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Comparator</b></td><td><b>Authors (date)</b></td><td><b>Number of RCTs (patients) pooled</b></td><td><b>Outcome measured time point</b></td><td><b>Effect estimate (MD, SMD)95% confidence interval</b></td></tr></thead><tbody><tr><td>Sham therapy </td><td>Rubinstein et al. (2010) [22]</td><td>1 (745)3 (1044)</td><td>[EMPTY_CELL]</td><td>SMD = −0.18 [95% CI, −0.32 to −0.04] SMD = −0.28 [95% CI, −0.41 to−0.16] </td></tr><tr><td rowspan=\\\"6\\\">No treatment</td><td>Lam et al. (2013) [17]</td><td>3 (451)</td><td>[EMPTY_CELL]</td><td>SMD = −0.94 [95% CI, −1.41 to −0.47]</td></tr><tr><td>Xu et al. (2013) [19]</td><td>4 (NR)</td><td>>1 month</td><td>[EMPTY_CELL]</td></tr><tr><td>Furlan et al. (2012) [20]</td><td>1 (NR)</td><td>Immediately</td><td>[EMPTY_CELL]</td></tr><tr><td>Rubinstein et al. (2010) [22]</td><td>1 (214)</td><td><3 months</td><td>[EMPTY_CELL]</td></tr><tr><td>Manheimer et al. (2005) [28]</td><td>6 (NR)</td><td><6 weeks</td><td>[EMPTY_CELL]</td></tr><tr><td>Furlan et al. (2005) [29]</td><td>2 (90)</td><td><3 months</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Plus conventional therapy</td><td>Lam et al. (2013) [17]</td><td>3 (144)</td><td>[EMPTY_CELL]</td><td>SMD = −0.87 [95% CI, −1.61 to −0.14] </td></tr><tr><td>Rubinstein et al. (2010) [22]</td><td>2 (99)4 (2824)</td><td><1 month<3 months</td><td>[EMPTY_CELL]</td></tr><tr><td>Furlan et al. (2005) [29]</td><td>3 (173)3 (173)</td><td>Immediately<3 months</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Comparator</b>\", \"bbox\": [2, 14, 48, 25]}, {\"cell\": \"<b>Authors (date)</b>\", \"bbox\": [87, 14, 142, 24]}, {\"cell\": \"<b>Number of RCTs (patients) pooled</b>\", \"bbox\": [201, 4, 259, 35]}, {\"cell\": \"<b>Outcome measured time point</b>\", \"bbox\": [273, 9, 345, 30]}, {\"cell\": \"<b>Effect estimate (MD, SMD)95% confidence interval</b>\", \"bbox\": [357, 9, 457, 30]}, {\"cell\": \"Sham therapy \", \"bbox\": [2, 43, 54, 54]}, {\"cell\": \"Rubinstein et al. (2010) [22]\", \"bbox\": [87, 42, 188, 53]}, {\"cell\": \"1 (745)3 (1044)\", \"bbox\": [215, 38, 246, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 34, 330, 60]}, {\"cell\": \"SMD = −0.18 [95% CI, −0.32 to −0.04] SMD = −0.28 [95% CI, −0.41 to−0.16] \", \"bbox\": [357, 34, 496, 60]}, {\"cell\": \"No treatment\", \"bbox\": [2, 92, 53, 103]}, {\"cell\": \"Lam et al. (2013) [17]\", \"bbox\": [87, 61, 164, 72]}, {\"cell\": \"3 (451)\", \"bbox\": [217, 62, 243, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 62, 333, 72]}, {\"cell\": \"SMD = −0.94 [95% CI, −1.41 to −0.47]\", \"bbox\": [357, 59, 496, 74]}, {\"cell\": \"Xu et al. (2013) [19]\", \"bbox\": [87, 74, 158, 85]}, {\"cell\": \"4 (NR)\", \"bbox\": [217, 75, 244, 86]}, {\"cell\": \">1 month\", \"bbox\": [291, 72, 327, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 72, 498, 87]}, {\"cell\": \"Furlan et al. (2012) [20]\", \"bbox\": [87, 87, 173, 98]}, {\"cell\": \"1 (NR)\", \"bbox\": [218, 88, 243, 99]}, {\"cell\": \"Immediately\", \"bbox\": [286, 88, 333, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 85, 493, 100]}, {\"cell\": \"Rubinstein et al. (2010) [22]\", \"bbox\": [87, 101, 188, 111]}, {\"cell\": \"1 (214)\", \"bbox\": [218, 102, 243, 112]}, {\"cell\": \"<3 months\", \"bbox\": [289, 98, 330, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 98, 496, 114]}, {\"cell\": \"Manheimer et al. (2005) [28]\", \"bbox\": [87, 114, 192, 125]}, {\"cell\": \"6 (NR)\", \"bbox\": [217, 115, 244, 125]}, {\"cell\": \"<6 weeks\", \"bbox\": [292, 112, 327, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 112, 498, 127]}, {\"cell\": \"Furlan et al. (2005) [29]\", \"bbox\": [87, 127, 174, 138]}, {\"cell\": \"2 (90)\", \"bbox\": [219, 128, 242, 139]}, {\"cell\": \"<3 months\", \"bbox\": [289, 125, 330, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 125, 495, 140]}, {\"cell\": \"Plus conventional therapy\", \"bbox\": [2, 156, 68, 178]}, {\"cell\": \"Lam et al. (2013) [17]\", \"bbox\": [87, 141, 164, 152]}, {\"cell\": \"3 (144)\", \"bbox\": [217, 142, 243, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 142, 333, 152]}, {\"cell\": \"SMD = −0.87 [95% CI, −1.61 to −0.14] \", \"bbox\": [357, 138, 494, 154]}, {\"cell\": \"Rubinstein et al. (2010) [22]\", \"bbox\": [87, 159, 188, 169]}, {\"cell\": \"2 (99)4 (2824)\", \"bbox\": [215, 154, 246, 175]}, {\"cell\": \"<1 month<3 months\", \"bbox\": [289, 151, 330, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 151, 498, 177]}, {\"cell\": \"Furlan et al. (2005) [29]\", \"bbox\": [87, 181, 174, 192]}, {\"cell\": \"3 (173)3 (173)\", \"bbox\": [218, 177, 243, 198]}, {\"cell\": \"Immediately<3 months\", \"bbox\": [286, 177, 333, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 174, 496, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4364128_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}503{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>MITE coordinates in <i>P. salinus</i></b></td><td><b>Gene associated with the MITE</b></td><td><b>Gene coordinates in <i>P. salinus</i></b></td><td><b>Gene length (bp)</b></td><td><b>Predicted gene function</b></td><td><b>Length of overlap (bp)</b></td><td><b>MITE involved in predicted secondary structure</b></td></tr></thead><tbody><tr><td>148208–148428</td><td>[EMPTY_CELL]</td><td>148230–148322</td><td>93</td><td>hypothetical protein</td><td>All 93</td><td>Yes</td></tr><tr><td>196891–197139</td><td>[EMPTY_CELL]</td><td>196674–196934</td><td>261</td><td>hypothetical protein</td><td>44, C end</td><td>Yes</td></tr><tr><td>266075–266302</td><td>[EMPTY_CELL]</td><td>266076–266237</td><td>162</td><td>hypothetical protein</td><td>All 162</td><td>Yes</td></tr><tr><td>659083–659327</td><td>[EMPTY_CELL]</td><td>658540–659259</td><td>720</td><td>hypothetical protein</td><td>177, C end</td><td>Yes</td></tr><tr><td>707659–707892</td><td>[EMPTY_CELL]</td><td>707593–707739</td><td>147</td><td>hypothetical protein</td><td>80, N end</td><td>Yes</td></tr><tr><td>1279645–1279868</td><td>[EMPTY_CELL]</td><td>1276933–1279722</td><td>2790</td><td>hypothetical protein</td><td>78, N end</td><td>Yes</td></tr><tr><td>1298951–1299182</td><td>[EMPTY_CELL]</td><td>1299004–1299717</td><td>714</td><td>hypothetical protein</td><td>179, N end</td><td>Yes</td></tr><tr><td>2316942–2317180</td><td>[EMPTY_CELL]</td><td>2316744–2316953</td><td>210</td><td>hypothetical protein</td><td>12, C end</td><td>No</td></tr><tr><td>2363527–2363776</td><td>[EMPTY_CELL]</td><td>2363321–2363686</td><td>366</td><td>hypothetical protein</td><td>160, C end</td><td>Yes</td></tr><tr><td>2373978–2374199</td><td>[EMPTY_CELL]</td><td>2372753–2373989</td><td>1237</td><td>2OG-Fe(II) oxygenase superfamily</td><td>12, C end</td><td>No</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>MITE coordinates in <i>P. salinus</i></b>\", \"bbox\": [1, 4, 66, 21]}, {\"cell\": \"<b>Gene associated with the MITE</b>\", \"bbox\": [70, 4, 140, 22]}, {\"cell\": \"<b>Gene coordinates in <i>P. salinus</i></b>\", \"bbox\": [144, 4, 211, 21]}, {\"cell\": \"<b>Gene length (bp)</b>\", \"bbox\": [215, 4, 253, 22]}, {\"cell\": \"<b>Predicted gene function</b>\", \"bbox\": [257, 4, 307, 22]}, {\"cell\": \"<b>Length of overlap (bp)</b>\", \"bbox\": [352, 4, 393, 22]}, {\"cell\": \"<b>MITE involved in predicted secondary structure</b>\", \"bbox\": [397, 4, 484, 22]}, {\"cell\": \"148208–148428\", \"bbox\": [0, 26, 52, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 26, 94, 36]}, {\"cell\": \"148230–148322\", \"bbox\": [144, 26, 196, 36]}, {\"cell\": \"93\", \"bbox\": [215, 26, 224, 36]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 26, 324, 36]}, {\"cell\": \"All 93\", \"bbox\": [352, 26, 372, 36]}, {\"cell\": \"Yes\", \"bbox\": [397, 26, 409, 36]}, {\"cell\": \"196891–197139\", \"bbox\": [1, 40, 52, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 40, 94, 50]}, {\"cell\": \"196674–196934\", \"bbox\": [144, 40, 196, 50]}, {\"cell\": \"261\", \"bbox\": [215, 40, 228, 50]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 40, 324, 50]}, {\"cell\": \"44, C end\", \"bbox\": [352, 40, 385, 50]}, {\"cell\": \"Yes\", \"bbox\": [397, 40, 409, 50]}, {\"cell\": \"266075–266302\", \"bbox\": [1, 54, 52, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 54, 94, 64]}, {\"cell\": \"266076–266237\", \"bbox\": [144, 54, 196, 64]}, {\"cell\": \"162\", \"bbox\": [215, 54, 228, 64]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 54, 324, 64]}, {\"cell\": \"All 162\", \"bbox\": [352, 54, 376, 64]}, {\"cell\": \"Yes\", \"bbox\": [397, 54, 409, 64]}, {\"cell\": \"659083–659327\", \"bbox\": [1, 68, 52, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 68, 94, 78]}, {\"cell\": \"658540–659259\", \"bbox\": [144, 68, 196, 78]}, {\"cell\": \"720\", \"bbox\": [215, 68, 228, 78]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 68, 324, 78]}, {\"cell\": \"177, C end\", \"bbox\": [352, 68, 388, 78]}, {\"cell\": \"Yes\", \"bbox\": [397, 68, 409, 78]}, {\"cell\": \"707659–707892\", \"bbox\": [1, 82, 52, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 82, 94, 92]}, {\"cell\": \"707593–707739\", \"bbox\": [144, 82, 196, 92]}, {\"cell\": \"147\", \"bbox\": [215, 82, 228, 92]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 82, 324, 92]}, {\"cell\": \"80, N end\", \"bbox\": [352, 82, 385, 92]}, {\"cell\": \"Yes\", \"bbox\": [397, 82, 409, 92]}, {\"cell\": \"1279645–1279868\", \"bbox\": [1, 96, 60, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 96, 98, 106]}, {\"cell\": \"1276933–1279722\", \"bbox\": [144, 96, 204, 106]}, {\"cell\": \"2790\", \"bbox\": [215, 96, 232, 106]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 96, 324, 106]}, {\"cell\": \"78, N end\", \"bbox\": [352, 96, 385, 106]}, {\"cell\": \"Yes\", \"bbox\": [397, 96, 409, 106]}, {\"cell\": \"1298951–1299182\", \"bbox\": [1, 110, 60, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 110, 98, 120]}, {\"cell\": \"1299004–1299717\", \"bbox\": [144, 110, 204, 120]}, {\"cell\": \"714\", \"bbox\": [215, 110, 228, 120]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 110, 324, 120]}, {\"cell\": \"179, N end\", \"bbox\": [352, 110, 389, 120]}, {\"cell\": \"Yes\", \"bbox\": [397, 110, 409, 120]}, {\"cell\": \"2316942–2317180\", \"bbox\": [1, 124, 60, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 124, 98, 134]}, {\"cell\": \"2316744–2316953\", \"bbox\": [144, 124, 204, 134]}, {\"cell\": \"210\", \"bbox\": [215, 124, 228, 134]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 124, 324, 134]}, {\"cell\": \"12, C end\", \"bbox\": [352, 124, 385, 134]}, {\"cell\": \"No\", \"bbox\": [397, 124, 408, 134]}, {\"cell\": \"2363527–2363776\", \"bbox\": [1, 138, 60, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 138, 98, 148]}, {\"cell\": \"2363321–2363686\", \"bbox\": [144, 138, 204, 148]}, {\"cell\": \"366\", \"bbox\": [215, 138, 228, 148]}, {\"cell\": \"hypothetical protein\", \"bbox\": [257, 138, 324, 148]}, {\"cell\": \"160, C end\", \"bbox\": [352, 138, 388, 148]}, {\"cell\": \"Yes\", \"bbox\": [397, 138, 409, 148]}, {\"cell\": \"2373978–2374199\", \"bbox\": [1, 152, 60, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 152, 98, 162]}, {\"cell\": \"2372753–2373989\", \"bbox\": [144, 152, 204, 162]}, {\"cell\": \"1237\", \"bbox\": [215, 152, 232, 162]}, {\"cell\": \"2OG-Fe(II) oxygenase superfamily\", \"bbox\": [257, 152, 326, 171]}, {\"cell\": \"12, C end\", \"bbox\": [352, 152, 385, 162]}, {\"cell\": \"No\", \"bbox\": [397, 152, 408, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4495683_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}504{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b><i>N</i> (%)</b></td><td><b>Mean (<i>SD</i>)</b></td><td><b>Min</b></td><td><b>Max</b></td></tr></thead><tbody><tr><td>Age at assessment (years)</td><td>128</td><td>5.27 (1.81)</td><td>[EMPTY_CELL]</td><td>10</td></tr><tr><td>Female gender</td><td>58 (45.3%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Mutation</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Familial</td><td>22 (17.2%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> De novo</td><td>53 (41.4%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Unknown</td><td>53 (41.4%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>ADOS modules</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Module 1</td><td>12 (9.4%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Module 2</td><td>45 (35.2%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Module 3</td><td>71 (55.5%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>ADOS calibrated severity score</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Total</td><td>128</td><td>2.34 (1.83)</td><td>[EMPTY_CELL]</td><td>8</td></tr><tr><td> Social affect</td><td>128</td><td>2.70 (2.12)</td><td>[EMPTY_CELL]</td><td>9</td></tr><tr><td> Restricted/repetitive behaviors</td><td>128</td><td>3.34 (2.50)</td><td>[EMPTY_CELL]</td><td>10</td></tr><tr><td>Type of intelligence test</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> WPPSI</td><td>98 (76.5%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> WISC-III</td><td>27 (21.1%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> WNV-III</td><td>1 (.8%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> BSID-III</td><td>2 (1.6%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>IQ scores</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Full-scale IQ</td><td>123</td><td>88.20 (13.93)</td><td>[EMPTY_CELL]</td><td>119</td></tr><tr><td> Verbal IQ</td><td>124</td><td>91.64 (13.75)</td><td>[EMPTY_CELL]</td><td>124</td></tr><tr><td> Performance IQ</td><td>125</td><td>88.25 (14.21)</td><td>[EMPTY_CELL]</td><td>130</td></tr><tr><td>SRS</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Total T-score</td><td>103</td><td>54.70 (12.59)</td><td>[EMPTY_CELL]</td><td>103</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>N</i> (%)</b>\", \"bbox\": [106, 4, 127, 14]}, {\"cell\": \"<b>Mean (<i>SD</i>)</b>\", \"bbox\": [149, 4, 189, 14]}, {\"cell\": \"<b>Min</b>\", \"bbox\": [202, 4, 218, 14]}, {\"cell\": \"<b>Max</b>\", \"bbox\": [223, 4, 240, 14]}, {\"cell\": \"Age at assessment (years)\", \"bbox\": [1, 23, 90, 33]}, {\"cell\": \"128\", \"bbox\": [106, 23, 120, 33]}, {\"cell\": \"5.27 (1.81)\", \"bbox\": [154, 23, 193, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 23, 213, 33]}, {\"cell\": \"10\", \"bbox\": [227, 23, 237, 33]}, {\"cell\": \"Female gender\", \"bbox\": [1, 36, 53, 46]}, {\"cell\": \"58 (45.3%)\", \"bbox\": [106, 36, 145, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mutation\", \"bbox\": [1, 48, 34, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Familial\", \"bbox\": [6, 61, 36, 70]}, {\"cell\": \"22 (17.2%)\", \"bbox\": [106, 61, 145, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" De novo\", \"bbox\": [6, 73, 36, 83]}, {\"cell\": \"53 (41.4%)\", \"bbox\": [106, 73, 145, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Unknown\", \"bbox\": [6, 86, 41, 95]}, {\"cell\": \"53 (41.4%)\", \"bbox\": [106, 86, 145, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ADOS modules\", \"bbox\": [1, 98, 57, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Module 1\", \"bbox\": [6, 111, 40, 120]}, {\"cell\": \"12 (9.4%)\", \"bbox\": [106, 111, 141, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Module 2\", \"bbox\": [6, 123, 40, 133]}, {\"cell\": \"45 (35.2%)\", \"bbox\": [106, 123, 145, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Module 3\", \"bbox\": [6, 136, 40, 145]}, {\"cell\": \"71 (55.5%)\", \"bbox\": [106, 136, 145, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ADOS calibrated severity score\", \"bbox\": [1, 148, 90, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Total\", \"bbox\": [6, 170, 25, 180]}, {\"cell\": \"128\", \"bbox\": [106, 170, 120, 180]}, {\"cell\": \"2.34 (1.83)\", \"bbox\": [154, 170, 193, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 170, 213, 180]}, {\"cell\": \"8\", \"bbox\": [231, 170, 237, 180]}, {\"cell\": \" Social affect\", \"bbox\": [6, 183, 50, 193]}, {\"cell\": \"128\", \"bbox\": [106, 183, 120, 193]}, {\"cell\": \"2.70 (2.12)\", \"bbox\": [154, 183, 193, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 183, 213, 193]}, {\"cell\": \"9\", \"bbox\": [231, 183, 237, 193]}, {\"cell\": \" Restricted/repetitive behaviors\", \"bbox\": [6, 195, 76, 215]}, {\"cell\": \"128\", \"bbox\": [106, 195, 120, 205]}, {\"cell\": \"3.34 (2.50)\", \"bbox\": [154, 195, 193, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 195, 213, 205]}, {\"cell\": \"10\", \"bbox\": [227, 195, 237, 205]}, {\"cell\": \"Type of intelligence test\", \"bbox\": [1, 218, 84, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" WPPSI\", \"bbox\": [6, 230, 33, 240]}, {\"cell\": \"98 (76.5%)\", \"bbox\": [106, 230, 145, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" WISC-III\", \"bbox\": [6, 243, 40, 253]}, {\"cell\": \"27 (21.1%)\", \"bbox\": [106, 243, 145, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" WNV-III\", \"bbox\": [6, 255, 39, 265]}, {\"cell\": \"1 (.8%)\", \"bbox\": [106, 255, 132, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" BSID-III\", \"bbox\": [6, 268, 38, 278]}, {\"cell\": \"2 (1.6%)\", \"bbox\": [106, 268, 137, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IQ scores\", \"bbox\": [1, 280, 35, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Full-scale IQ\", \"bbox\": [6, 293, 52, 303]}, {\"cell\": \"123\", \"bbox\": [106, 293, 120, 303]}, {\"cell\": \"88.20 (13.93)\", \"bbox\": [150, 293, 198, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 293, 213, 303]}, {\"cell\": \"119\", \"bbox\": [223, 293, 237, 303]}, {\"cell\": \" Verbal IQ\", \"bbox\": [6, 305, 41, 315]}, {\"cell\": \"124\", \"bbox\": [106, 305, 120, 315]}, {\"cell\": \"91.64 (13.75)\", \"bbox\": [150, 305, 198, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 305, 213, 315]}, {\"cell\": \"124\", \"bbox\": [223, 305, 237, 315]}, {\"cell\": \" Performance IQ\", \"bbox\": [6, 318, 62, 328]}, {\"cell\": \"125\", \"bbox\": [106, 318, 120, 328]}, {\"cell\": \"88.25 (14.21)\", \"bbox\": [150, 318, 198, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 318, 213, 328]}, {\"cell\": \"130\", \"bbox\": [223, 318, 237, 328]}, {\"cell\": \"SRS\", \"bbox\": [1, 330, 18, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Total T-score\", \"bbox\": [6, 343, 53, 353]}, {\"cell\": \"103\", \"bbox\": [106, 343, 120, 353]}, {\"cell\": \"54.70 (12.59)\", \"bbox\": [150, 343, 198, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 343, 213, 353]}, {\"cell\": \"103\", \"bbox\": [223, 343, 237, 353]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5995999_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}505{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variable</b></td><td colspan=\\\"3\\\"><b>Help Seeking</b></td><td colspan=\\\"3\\\"><b>Self Recognition</b></td><td colspan=\\\"3\\\"><b>Depression</b></td></tr><tr><td><b>Point Estimate</b></td><td><b>SE</b></td><td><b><i>p</i> Value</b></td><td><b>Point Estimate</b></td><td><b>SE</b></td><td><b><i>p</i> Value</b></td><td><b>Point Estimate</b></td><td><b>SE</b></td><td><b><i>p</i> Value</b></td></tr></thead><tbody><tr><td>Gender</td><td>−0.299</td><td>0.452</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Someone else telling you that you had a mental health problem</td><td>0.765</td><td>0.539</td><td>[EMPTY_CELL]</td><td>0.67</td><td>1.256</td><td>0.595</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Functional Status</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−1.81</td><td>0.53</td><td>0.00058</td></tr><tr><td>Self-Rated Mental Health</td><td>−1.022</td><td>0.404</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−0.36</td><td>0.52</td><td>0.49592</td></tr><tr><td>Total PHQ-9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−0.19</td><td>0.088</td><td>0.029</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Total Somatic Symptoms</td><td>−0.093</td><td>0.037</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−0.19</td><td>0.05</td><td>0.00011</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [7, 14, 50, 26]}, {\"cell\": \"<b>Help Seeking</b>\", \"bbox\": [226, 6, 290, 18]}, {\"cell\": \"<b>Self Recognition</b>\", \"bbox\": [381, 6, 460, 18]}, {\"cell\": \"<b>Depression</b>\", \"bbox\": [553, 6, 607, 18]}, {\"cell\": \"<b>Point Estimate</b>\", \"bbox\": [181, 22, 253, 33]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [267, 22, 282, 33]}, {\"cell\": \"<b><i>p</i> Value</b>\", \"bbox\": [297, 22, 335, 33]}, {\"cell\": \"<b>Point Estimate</b>\", \"bbox\": [344, 22, 415, 33]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [429, 22, 445, 33]}, {\"cell\": \"<b><i>p</i> Value</b>\", \"bbox\": [459, 22, 497, 33]}, {\"cell\": \"<b>Point Estimate</b>\", \"bbox\": [506, 22, 577, 33]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [589, 22, 604, 33]}, {\"cell\": \"<b><i>p</i> Value</b>\", \"bbox\": [616, 22, 654, 33]}, {\"cell\": \"Gender\", \"bbox\": [7, 37, 41, 49]}, {\"cell\": \"−0.299\", \"bbox\": [200, 33, 233, 50]}, {\"cell\": \"0.452\", \"bbox\": [261, 37, 288, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 37, 329, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Someone else telling you that you had a mental health problem\", \"bbox\": [7, 52, 172, 79]}, {\"cell\": \"0.765\", \"bbox\": [203, 60, 230, 72]}, {\"cell\": \"0.539\", \"bbox\": [261, 60, 288, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 60, 329, 72]}, {\"cell\": \"0.67\", \"bbox\": [369, 60, 390, 72]}, {\"cell\": \"1.256\", \"bbox\": [424, 60, 450, 72]}, {\"cell\": \"0.595\", \"bbox\": [465, 60, 491, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Functional Status\", \"bbox\": [7, 83, 85, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−1.81\", \"bbox\": [528, 79, 555, 96]}, {\"cell\": \"0.53\", \"bbox\": [586, 83, 607, 95]}, {\"cell\": \"0.00058\", \"bbox\": [616, 83, 654, 95]}, {\"cell\": \"Self-Rated Mental Health\", \"bbox\": [7, 98, 122, 110]}, {\"cell\": \"−1.022\", \"bbox\": [200, 95, 233, 111]}, {\"cell\": \"0.404\", \"bbox\": [261, 98, 288, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 98, 329, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.36\", \"bbox\": [528, 95, 555, 111]}, {\"cell\": \"0.52\", \"bbox\": [586, 98, 607, 110]}, {\"cell\": \"0.49592\", \"bbox\": [616, 98, 654, 110]}, {\"cell\": \"Total PHQ-9\", \"bbox\": [7, 114, 66, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.19\", \"bbox\": [365, 110, 393, 127]}, {\"cell\": \"0.088\", \"bbox\": [424, 114, 450, 126]}, {\"cell\": \"0.029\", \"bbox\": [465, 114, 491, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total Somatic Symptoms\", \"bbox\": [7, 129, 120, 141]}, {\"cell\": \"−0.093\", \"bbox\": [200, 126, 233, 142]}, {\"cell\": \"0.037\", \"bbox\": [261, 129, 288, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 129, 329, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.19\", \"bbox\": [528, 126, 555, 142]}, {\"cell\": \"0.05\", \"bbox\": [586, 129, 607, 141]}, {\"cell\": \"0.00011\", \"bbox\": [616, 129, 654, 141]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4586621_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}506{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Outcome </b></td><td colspan=\\\"2\\\"><b> Age </b></td><td colspan=\\\"2\\\"><b> SD </b></td><td colspan=\\\"2\\\"><b> BMI </b></td><td colspan=\\\"2\\\"><b> Gender </b></td></tr><tr><td><b>Variable </b></td><td><b>Coefficient</b></td><td><b><i>p</i> value</b></td><td><b>Coefficient</b></td><td><b><i>p</i> value</b></td><td><b>Coefficient</b></td><td><b><i>p</i> value</b></td><td><b>Coefficient</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>−<b>0</b>.<b>239</b></td><td><b>0</b>.<b>014</b></td><td>0.067</td><td>0.50</td><td>0.102</td><td>0.30</td><td>0.150</td><td>0.12</td></tr><tr><td>[EMPTY_CELL]</td><td>0.068</td><td>0.47</td><td><b>0</b>.<b>253</b></td><td><b>0</b>.<b>011</b></td><td>0.120</td><td>0.22</td><td>0.084</td><td>0.38</td></tr><tr><td>[EMPTY_CELL]</td><td><b>0</b>.<b>193</b></td><td><b>0</b>.<b>05</b></td><td>−0.176</td><td>0.08</td><td>0.132</td><td>0.19</td><td>0.044</td><td>0.65</td></tr><tr><td>[EMPTY_CELL]</td><td>0.150</td><td>0.13</td><td>0.076</td><td>0.45</td><td>0.126</td><td>0.21</td><td>0.079</td><td>0.42</td></tr><tr><td>[EMPTY_CELL]</td><td><b>0</b>.<b>454</b></td><td><<b>0</b>.<b>001</b></td><td>0.055</td><td>0.55</td><td>0.021</td><td>0.98</td><td>0.003</td><td>0.97</td></tr><tr><td>[EMPTY_CELL]</td><td>−<b>0</b>.<b>451</b></td><td><<b>0</b>.<b>001</b></td><td>0.166</td><td>0.065</td><td>0.116</td><td>0.20</td><td>0.085</td><td>0.33</td></tr><tr><td>[EMPTY_CELL]</td><td>−<b>0</b>.<b>354</b></td><td><<b>0</b>.<b>001</b></td><td>−<b>0</b>.<b>205</b></td><td><b>0</b>.<b>026</b></td><td><b>0</b>.<b>214</b></td><td><b>0</b>.<b>02</b></td><td>0.109</td><td>0.22</td></tr><tr><td>[EMPTY_CELL]</td><td>−<b>0</b>.<b>434</b></td><td><<b>0</b>.<b>001</b></td><td>0.028</td><td>0.75</td><td><b>0</b>.<b>173</b></td><td><b>0</b>.<b>05</b></td><td>0.105</td><td>0.24</td></tr><tr><td>[EMPTY_CELL]</td><td>0.027</td><td>0.79</td><td>0.051</td><td>0.61</td><td>0.191</td><td>0.006</td><td>−0.105</td><td>0.28</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Outcome </b>\", \"bbox\": [2, 4, 38, 15]}, {\"cell\": \"<b> Age </b>\", \"bbox\": [113, 4, 129, 15]}, {\"cell\": \"<b> SD </b>\", \"bbox\": [225, 4, 238, 15]}, {\"cell\": \"<b> BMI </b>\", \"bbox\": [333, 4, 352, 15]}, {\"cell\": \"<b> Gender </b>\", \"bbox\": [439, 4, 468, 15]}, {\"cell\": \"<b>Variable </b>\", \"bbox\": [2, 16, 34, 27]}, {\"cell\": \"<b>Coefficient</b>\", \"bbox\": [75, 16, 116, 27]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [137, 13, 165, 29]}, {\"cell\": \"<b>Coefficient</b>\", \"bbox\": [186, 16, 227, 27]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [248, 13, 276, 29]}, {\"cell\": \"<b>Coefficient</b>\", \"bbox\": [297, 16, 338, 27]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [359, 13, 388, 29]}, {\"cell\": \"<b>Coefficient</b>\", \"bbox\": [408, 16, 450, 27]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [470, 13, 499, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 29, 25, 40]}, {\"cell\": \"−<b>0</b>.<b>239</b>\", \"bbox\": [82, 26, 109, 41]}, {\"cell\": \"<b>0</b>.<b>014</b>\", \"bbox\": [141, 29, 162, 40]}, {\"cell\": \"0.067\", \"bbox\": [196, 29, 218, 40]}, {\"cell\": \"0.50\", \"bbox\": [254, 29, 271, 40]}, {\"cell\": \"0.102\", \"bbox\": [308, 29, 328, 40]}, {\"cell\": \"0.30\", \"bbox\": [365, 29, 382, 40]}, {\"cell\": \"0.150\", \"bbox\": [419, 29, 439, 40]}, {\"cell\": \"0.12\", \"bbox\": [477, 29, 492, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 42, 51, 52]}, {\"cell\": \"0.068\", \"bbox\": [85, 42, 107, 52]}, {\"cell\": \"0.47\", \"bbox\": [143, 42, 160, 52]}, {\"cell\": \"<b>0</b>.<b>253</b>\", \"bbox\": [196, 42, 218, 52]}, {\"cell\": \"<b>0</b>.<b>011</b>\", \"bbox\": [252, 42, 272, 52]}, {\"cell\": \"0.120\", \"bbox\": [308, 42, 328, 52]}, {\"cell\": \"0.22\", \"bbox\": [365, 42, 382, 52]}, {\"cell\": \"0.084\", \"bbox\": [418, 42, 440, 52]}, {\"cell\": \"0.38\", \"bbox\": [476, 42, 493, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 54, 57, 65]}, {\"cell\": \"<b>0</b>.<b>193</b>\", \"bbox\": [85, 54, 106, 65]}, {\"cell\": \"<b>0</b>.<b>05</b>\", \"bbox\": [142, 54, 160, 65]}, {\"cell\": \"−0.176\", \"bbox\": [194, 51, 219, 66]}, {\"cell\": \"0.08\", \"bbox\": [254, 54, 271, 65]}, {\"cell\": \"0.132\", \"bbox\": [308, 54, 328, 65]}, {\"cell\": \"0.19\", \"bbox\": [366, 54, 381, 65]}, {\"cell\": \"0.044\", \"bbox\": [418, 54, 440, 65]}, {\"cell\": \"0.65\", \"bbox\": [476, 54, 493, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 67, 41, 77]}, {\"cell\": \"0.150\", \"bbox\": [86, 67, 106, 77]}, {\"cell\": \"0.13\", \"bbox\": [143, 67, 159, 77]}, {\"cell\": \"0.076\", \"bbox\": [196, 67, 217, 77]}, {\"cell\": \"0.45\", \"bbox\": [254, 67, 271, 77]}, {\"cell\": \"0.126\", \"bbox\": [308, 67, 328, 77]}, {\"cell\": \"0.21\", \"bbox\": [366, 67, 381, 77]}, {\"cell\": \"0.079\", \"bbox\": [418, 67, 440, 77]}, {\"cell\": \"0.42\", \"bbox\": [476, 67, 493, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 79, 56, 90]}, {\"cell\": \"<b>0</b>.<b>454</b>\", \"bbox\": [84, 79, 107, 90]}, {\"cell\": \"<<b>0</b>.<b>001</b>\", \"bbox\": [138, 76, 165, 91]}, {\"cell\": \"0.055\", \"bbox\": [196, 79, 217, 90]}, {\"cell\": \"0.55\", \"bbox\": [254, 79, 271, 90]}, {\"cell\": \"0.021\", \"bbox\": [308, 79, 328, 90]}, {\"cell\": \"0.98\", \"bbox\": [365, 79, 382, 90]}, {\"cell\": \"0.003\", \"bbox\": [418, 79, 440, 90]}, {\"cell\": \"0.97\", \"bbox\": [476, 79, 493, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 91, 52, 102]}, {\"cell\": \"−<b>0</b>.<b>451</b>\", \"bbox\": [82, 88, 109, 104]}, {\"cell\": \"<<b>0</b>.<b>001</b>\", \"bbox\": [138, 88, 165, 104]}, {\"cell\": \"0.166\", \"bbox\": [197, 91, 217, 102]}, {\"cell\": \"0.065\", \"bbox\": [252, 91, 273, 102]}, {\"cell\": \"0.116\", \"bbox\": [308, 91, 327, 102]}, {\"cell\": \"0.20\", \"bbox\": [365, 91, 382, 102]}, {\"cell\": \"0.085\", \"bbox\": [418, 91, 440, 102]}, {\"cell\": \"0.33\", \"bbox\": [476, 91, 493, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 104, 58, 115]}, {\"cell\": \"−<b>0</b>.<b>354</b>\", \"bbox\": [82, 101, 109, 116]}, {\"cell\": \"<<b>0</b>.<b>001</b>\", \"bbox\": [138, 101, 165, 116]}, {\"cell\": \"−<b>0</b>.<b>205</b>\", \"bbox\": [193, 101, 221, 116]}, {\"cell\": \"<b>0</b>.<b>026</b>\", \"bbox\": [251, 104, 274, 115]}, {\"cell\": \"<b>0</b>.<b>214</b>\", \"bbox\": [307, 104, 328, 115]}, {\"cell\": \"<b>0</b>.<b>02</b>\", \"bbox\": [365, 104, 382, 115]}, {\"cell\": \"0.109\", \"bbox\": [419, 104, 439, 115]}, {\"cell\": \"0.22\", \"bbox\": [476, 104, 493, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 116, 42, 127]}, {\"cell\": \"−<b>0</b>.<b>434</b>\", \"bbox\": [82, 113, 110, 129]}, {\"cell\": \"<<b>0</b>.<b>001</b>\", \"bbox\": [138, 113, 165, 129]}, {\"cell\": \"0.028\", \"bbox\": [196, 116, 217, 127]}, {\"cell\": \"0.75\", \"bbox\": [254, 116, 271, 127]}, {\"cell\": \"<b>0</b>.<b>173</b>\", \"bbox\": [308, 116, 328, 127]}, {\"cell\": \"<b>0</b>.<b>05</b>\", \"bbox\": [365, 116, 382, 127]}, {\"cell\": \"0.105\", \"bbox\": [419, 116, 439, 127]}, {\"cell\": \"0.24\", \"bbox\": [476, 116, 493, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 129, 43, 139]}, {\"cell\": \"0.027\", \"bbox\": [85, 129, 106, 139]}, {\"cell\": \"0.79\", \"bbox\": [143, 129, 160, 139]}, {\"cell\": \"0.051\", \"bbox\": [197, 129, 217, 139]}, {\"cell\": \"0.61\", \"bbox\": [254, 129, 270, 139]}, {\"cell\": \"0.191\", \"bbox\": [309, 129, 327, 139]}, {\"cell\": \"0.006\", \"bbox\": [362, 129, 384, 139]}, {\"cell\": \"−0.105\", \"bbox\": [416, 126, 442, 141]}, {\"cell\": \"0.28\", \"bbox\": [476, 129, 493, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4876211_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}507{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variable</b></td><td rowspan=\\\"2\\\"><b>NL</b></td><td rowspan=\\\"2\\\"><b>NLP</b></td><td rowspan=\\\"2\\\"><b>NLEE</b></td><td rowspan=\\\"2\\\"><b>NLM</b></td><td><b>ANOVA</b></td><td><b>Contrast 1</b></td><td><b>Contrast 2</b></td><td><b>Contrast 3</b></td></tr><tr><td><b><i>P</i></b></td><td><b><i>P</i></b></td><td><b><i>P</i></b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td><b>Time in bed (min)</b></td><td>513.8 ± 18.6</td><td>[EMPTY_CELL]</td><td>507.9 ± 29.7</td><td>508.8 ± 26.5</td><td>0.934</td><td>0.598</td><td>0.893</td><td>0.936</td></tr><tr><td><b>Total sleep time (min)</b></td><td>369.0 ± 35.0</td><td>[EMPTY_CELL]</td><td>385.8 ± 38.9</td><td>401.2 ± 35.8</td><td>0.137</td><td>0.302</td><td>0.043</td><td>0.342</td></tr><tr><td><b>Sleep efficiency index</b></td><td>0.72 ± 0.08</td><td>[EMPTY_CELL]</td><td>0.76 ± 0.08</td><td>0.79 ± 0.11</td><td>0.186</td><td>0.273</td><td>0.077</td><td>0.396</td></tr><tr><td><b>REM (%)</b></td><td>16.0 ± 4.2</td><td>[EMPTY_CELL]</td><td>18.4 ± 3.7</td><td>20.9 ± 3.0</td><td>0.050</td><td>0.285</td><td>0.011</td><td>0.258</td></tr><tr><td><b>N1 (%)</b></td><td>20.3 ± 8.6</td><td>[EMPTY_CELL]</td><td>20.4 ± 3.2</td><td>19.2 ± 4.0</td><td>0.928</td><td>0.973</td><td>0.509</td><td>0.681</td></tr><tr><td><b>N2 (%)</b></td><td>46.8 ± 7.3</td><td>[EMPTY_CELL]</td><td>46.3 ± 3.0</td><td>42.6 ± 3.5</td><td>0.262</td><td>0.850</td><td>0.073</td><td>0.161</td></tr><tr><td><b>N3 (%)</b></td><td>15.0 ± 3.9</td><td>[EMPTY_CELL]</td><td>14.9 ± 3.1</td><td>17.3 ± 3.6</td><td>0.425</td><td>0.991</td><td>0.654</td><td>0.175</td></tr><tr><td><b>Sleep onset latency (min)</b></td><td>71.4 ± 25.6</td><td>[EMPTY_CELL]</td><td>46.6 ± 21.6</td><td>33.7 ± 10.5</td><td>0.001</td><td>0.010</td><td>0.004</td><td>0.163</td></tr><tr><td><b>REM latency (min)</b></td><td>154.4 ± 46.9</td><td>[EMPTY_CELL]</td><td>158.0 ± 37.4</td><td>149.5 ± 37.8</td><td>0.959</td><td>0.844</td><td>0.634</td><td>0.644</td></tr><tr><td><b>No. of awakenings</b></td><td>15.1 ± 3.3</td><td>[EMPTY_CELL]</td><td>10.5 ± 3.2</td><td>6.5 ± 1.8</td><td>0.000</td><td>0.001</td><td>0.000</td><td>0.004</td></tr><tr><td><b>Sleep arousals index</b></td><td>9.8 ± 3.0</td><td>[EMPTY_CELL]</td><td>5.5 ± 2.1</td><td>4.5 ± 1.4</td><td>0.000</td><td>0.000</td><td>0.001</td><td>0.392</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>NL</b>\", \"bbox\": [98, 4, 109, 13]}, {\"cell\": \"<b>NLP</b>\", \"bbox\": [151, 4, 166, 13]}, {\"cell\": \"<b>NLEE</b>\", \"bbox\": [204, 4, 223, 13]}, {\"cell\": \"<b>NLM</b>\", \"bbox\": [257, 4, 274, 13]}, {\"cell\": \"<b>ANOVA</b>\", \"bbox\": [310, 4, 337, 13]}, {\"cell\": \"<b>Contrast 1</b>\", \"bbox\": [349, 4, 386, 13]}, {\"cell\": \"<b>Contrast 2</b>\", \"bbox\": [398, 4, 435, 13]}, {\"cell\": \"<b>Contrast 3</b>\", \"bbox\": [447, 4, 484, 13]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [310, 17, 316, 25]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [349, 17, 356, 25]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [398, 17, 405, 25]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [447, 17, 454, 25]}, {\"cell\": \"<b>Time in bed (min)</b>\", \"bbox\": [1, 30, 64, 40]}, {\"cell\": \"513.8 ± 18.6\", \"bbox\": [98, 31, 139, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 31, 192, 38]}, {\"cell\": \"507.9 ± 29.7\", \"bbox\": [204, 31, 245, 38]}, {\"cell\": \"508.8 ± 26.5\", \"bbox\": [257, 31, 296, 38]}, {\"cell\": \"0.934\", \"bbox\": [310, 31, 328, 38]}, {\"cell\": \"0.598\", \"bbox\": [349, 31, 368, 38]}, {\"cell\": \"0.893\", \"bbox\": [398, 31, 417, 38]}, {\"cell\": \"0.936\", \"bbox\": [447, 31, 466, 38]}, {\"cell\": \"<b>Total sleep time (min)</b>\", \"bbox\": [1, 44, 79, 54]}, {\"cell\": \"369.0 ± 35.0\", \"bbox\": [98, 45, 139, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 45, 192, 52]}, {\"cell\": \"385.8 ± 38.9\", \"bbox\": [204, 45, 245, 52]}, {\"cell\": \"401.2 ± 35.8\", \"bbox\": [257, 45, 298, 52]}, {\"cell\": \"0.137\", \"bbox\": [310, 45, 328, 52]}, {\"cell\": \"0.302\", \"bbox\": [349, 45, 368, 52]}, {\"cell\": \"0.043\", \"bbox\": [398, 45, 417, 52]}, {\"cell\": \"0.342\", \"bbox\": [447, 45, 466, 52]}, {\"cell\": \"<b>Sleep efficiency index</b>\", \"bbox\": [1, 58, 78, 68]}, {\"cell\": \"0.72 ± 0.08\", \"bbox\": [98, 59, 135, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 59, 188, 66]}, {\"cell\": \"0.76 ± 0.08\", \"bbox\": [204, 59, 241, 66]}, {\"cell\": \"0.79 ± 0.11\", \"bbox\": [257, 59, 294, 66]}, {\"cell\": \"0.186\", \"bbox\": [310, 59, 328, 66]}, {\"cell\": \"0.273\", \"bbox\": [349, 59, 368, 66]}, {\"cell\": \"0.077\", \"bbox\": [398, 59, 417, 66]}, {\"cell\": \"0.396\", \"bbox\": [447, 59, 466, 66]}, {\"cell\": \"<b>REM (%)</b>\", \"bbox\": [1, 72, 31, 82]}, {\"cell\": \"16.0 ± 4.2\", \"bbox\": [98, 73, 131, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 73, 181, 80]}, {\"cell\": \"18.4 ± 3.7\", \"bbox\": [204, 73, 237, 80]}, {\"cell\": \"20.9 ± 3.0\", \"bbox\": [257, 73, 290, 80]}, {\"cell\": \"0.050\", \"bbox\": [310, 73, 328, 80]}, {\"cell\": \"0.285\", \"bbox\": [349, 73, 368, 80]}, {\"cell\": \"0.011\", \"bbox\": [398, 73, 417, 80]}, {\"cell\": \"0.258\", \"bbox\": [447, 73, 466, 80]}, {\"cell\": \"<b>N1 (%)</b>\", \"bbox\": [1, 86, 26, 96]}, {\"cell\": \"20.3 ± 8.6\", \"bbox\": [98, 87, 131, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 87, 184, 94]}, {\"cell\": \"20.4 ± 3.2\", \"bbox\": [204, 87, 237, 94]}, {\"cell\": \"19.2 ± 4.0\", \"bbox\": [257, 87, 290, 94]}, {\"cell\": \"0.928\", \"bbox\": [310, 87, 328, 94]}, {\"cell\": \"0.973\", \"bbox\": [349, 87, 368, 94]}, {\"cell\": \"0.509\", \"bbox\": [398, 87, 417, 94]}, {\"cell\": \"0.681\", \"bbox\": [447, 87, 466, 94]}, {\"cell\": \"<b>N2 (%)</b>\", \"bbox\": [1, 100, 26, 110]}, {\"cell\": \"46.8 ± 7.3\", \"bbox\": [98, 101, 131, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 101, 184, 108]}, {\"cell\": \"46.3 ± 3.0\", \"bbox\": [204, 101, 237, 108]}, {\"cell\": \"42.6 ± 3.5\", \"bbox\": [257, 101, 290, 108]}, {\"cell\": \"0.262\", \"bbox\": [310, 101, 328, 108]}, {\"cell\": \"0.850\", \"bbox\": [349, 101, 368, 108]}, {\"cell\": \"0.073\", \"bbox\": [398, 101, 417, 108]}, {\"cell\": \"0.161\", \"bbox\": [447, 101, 466, 108]}, {\"cell\": \"<b>N3 (%)</b>\", \"bbox\": [1, 114, 26, 124]}, {\"cell\": \"15.0 ± 3.9\", \"bbox\": [98, 115, 131, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 115, 184, 122]}, {\"cell\": \"14.9 ± 3.1\", \"bbox\": [204, 115, 237, 122]}, {\"cell\": \"17.3 ± 3.6\", \"bbox\": [257, 115, 290, 122]}, {\"cell\": \"0.425\", \"bbox\": [310, 115, 328, 122]}, {\"cell\": \"0.991\", \"bbox\": [349, 115, 368, 122]}, {\"cell\": \"0.654\", \"bbox\": [398, 115, 417, 122]}, {\"cell\": \"0.175\", \"bbox\": [447, 115, 466, 122]}, {\"cell\": \"<b>Sleep onset latency (min)</b>\", \"bbox\": [1, 128, 85, 138]}, {\"cell\": \"71.4 ± 25.6\", \"bbox\": [98, 129, 135, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 129, 188, 136]}, {\"cell\": \"46.6 ± 21.6\", \"bbox\": [204, 129, 241, 136]}, {\"cell\": \"33.7 ± 10.5\", \"bbox\": [257, 129, 294, 136]}, {\"cell\": \"0.001\", \"bbox\": [310, 129, 328, 136]}, {\"cell\": \"0.010\", \"bbox\": [349, 129, 368, 136]}, {\"cell\": \"0.004\", \"bbox\": [398, 129, 417, 136]}, {\"cell\": \"0.163\", \"bbox\": [447, 129, 466, 136]}, {\"cell\": \"<b>REM latency (min)</b>\", \"bbox\": [1, 142, 65, 152]}, {\"cell\": \"154.4 ± 46.9\", \"bbox\": [98, 143, 139, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 143, 192, 150]}, {\"cell\": \"158.0 ± 37.4\", \"bbox\": [204, 143, 245, 150]}, {\"cell\": \"149.5 ± 37.8\", \"bbox\": [257, 143, 296, 150]}, {\"cell\": \"0.959\", \"bbox\": [310, 143, 328, 150]}, {\"cell\": \"0.844\", \"bbox\": [349, 143, 368, 150]}, {\"cell\": \"0.634\", \"bbox\": [398, 143, 417, 150]}, {\"cell\": \"0.644\", \"bbox\": [447, 143, 466, 150]}, {\"cell\": \"<b>No. of awakenings</b>\", \"bbox\": [1, 156, 67, 166]}, {\"cell\": \"15.1 ± 3.3\", \"bbox\": [98, 157, 131, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 157, 184, 164]}, {\"cell\": \"10.5 ± 3.2\", \"bbox\": [204, 157, 237, 164]}, {\"cell\": \"6.5 ± 1.8\", \"bbox\": [257, 157, 286, 164]}, {\"cell\": \"0.000\", \"bbox\": [310, 157, 328, 164]}, {\"cell\": \"0.001\", \"bbox\": [349, 157, 368, 164]}, {\"cell\": \"0.000\", \"bbox\": [398, 157, 417, 164]}, {\"cell\": \"0.004\", \"bbox\": [447, 157, 466, 164]}, {\"cell\": \"<b>Sleep arousals index</b>\", \"bbox\": [1, 170, 74, 180]}, {\"cell\": \"9.8 ± 3.0\", \"bbox\": [98, 171, 127, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 171, 180, 178]}, {\"cell\": \"5.5 ± 2.1\", \"bbox\": [204, 171, 233, 178]}, {\"cell\": \"4.5 ± 1.4\", \"bbox\": [257, 171, 286, 178]}, {\"cell\": \"0.000\", \"bbox\": [310, 171, 328, 178]}, {\"cell\": \"0.000\", \"bbox\": [349, 171, 368, 178]}, {\"cell\": \"0.001\", \"bbox\": [398, 171, 417, 178]}, {\"cell\": \"0.392\", \"bbox\": [447, 171, 466, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4365553_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}508{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Ref.</b></td><td><b>Animal model</b></td><td><b>Diet</b></td><td><b>Term</b></td><td><b>Health outcomes of LCMUFA diet(<i>p</i> < 0.05 vs. control)</b></td></tr></thead><tbody><tr><td>[42]</td><td>[EMPTY_CELL]</td><td>Hight-fat diet(42% energy from fat)supplemented 5% LCMUFA or not (control)</td><td>6 weeks</td><td>Plasma TC, LDL-C reduction;Insulin resistance improvement;Anti-inflammation (Decreased plasma resistin levels and inflammatory gene expressions);Increase in n-3 PUFA and decrease in n-6 PUFA in liver</td></tr><tr><td>[43]</td><td>[EMPTY_CELL]</td><td>Chow dietsupplemented 4% LCMUFA or soybean oil (control)</td><td>8 weeks</td><td>Plasma TC, FFA, insulin and leptin reduction;Adipocyte size reduction;Upregulation of <i>Pparg</i> family genes</td></tr><tr><td>[46]</td><td>[EMPTY_CELL]</td><td>Western diet(42% energy from fat)supplemented 5% LCMUFA or not (control)</td><td>12 weeks</td><td>Plasma TC, LDL-C reduction;Atherosclerotic lesion area reduction;Anti-inflammation (Decreased macrophage and inflammatory gene expression in aorta);Upregulation of PPAR signaling pathway in liver</td></tr><tr><td>[46]</td><td>[EMPTY_CELL]</td><td>Western diet(42% energy from fat)supplemented 2% LCMUFA, olive oil, or not (control)</td><td>12 weeks</td><td>No change in plasma lipid levels;Atherosclerotic lesion area reduction;Anti-inflammation (Decreased plasma inflammatory cytokine levels and in aorta);Upregulation of PPAR signaling pathway in liver;Increase in n-3 PUFA and decrease in arachidonic acid (C20:4 n-6) in plasma and liver</td></tr><tr><td>[48]</td><td>[EMPTY_CELL]</td><td>High-fat diet(42% energy from fat)supplemented 6.5% LCMUFA, n-3 PUFA, or not (control)</td><td>3 weeks</td><td>No change in plasma lipid levels;Stimulation of peroxisomal β-oxidation in liver;Increase in n-3 PUFA and decrease in arachidonic acid (C20:4 n-6) in plasma and liver</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Ref.</b>\", \"bbox\": [1, 4, 14, 13]}, {\"cell\": \"<b>Animal model</b>\", \"bbox\": [31, 4, 78, 13]}, {\"cell\": \"<b>Diet</b>\", \"bbox\": [162, 4, 177, 13]}, {\"cell\": \"<b>Term</b>\", \"bbox\": [275, 4, 293, 13]}, {\"cell\": \"<b>Health outcomes of LCMUFA diet(<i>p</i> < 0.05 vs. control)</b>\", \"bbox\": [323, 4, 433, 22]}, {\"cell\": \"[42]\", \"bbox\": [1, 26, 14, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [31, 26, 145, 45]}, {\"cell\": \"Hight-fat diet(42% energy from fat)supplemented 5% LCMUFA or not (control)\", \"bbox\": [162, 26, 252, 63]}, {\"cell\": \"6 weeks\", \"bbox\": [275, 26, 303, 36]}, {\"cell\": \"Plasma TC, LDL-C reduction;Insulin resistance improvement;Anti-inflammation (Decreased plasma resistin levels and inflammatory gene expressions);Increase in n-3 PUFA and decrease in n-6 PUFA in liver\", \"bbox\": [323, 26, 446, 90]}, {\"cell\": \"[43]\", \"bbox\": [0, 94, 14, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [31, 94, 126, 113]}, {\"cell\": \"Chow dietsupplemented 4% LCMUFA or soybean oil (control)\", \"bbox\": [162, 94, 252, 122]}, {\"cell\": \"8 weeks\", \"bbox\": [275, 94, 303, 104]}, {\"cell\": \"Plasma TC, FFA, insulin and leptin reduction;Adipocyte size reduction;Upregulation of <i>Pparg</i> family genes\", \"bbox\": [323, 94, 467, 122]}, {\"cell\": \"[46]\", \"bbox\": [0, 126, 14, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [31, 126, 137, 136]}, {\"cell\": \"Western diet(42% energy from fat)supplemented 5% LCMUFA or not (control)\", \"bbox\": [162, 126, 252, 163]}, {\"cell\": \"12 weeks\", \"bbox\": [275, 126, 307, 136]}, {\"cell\": \"Plasma TC, LDL-C reduction;Atherosclerotic lesion area reduction;Anti-inflammation (Decreased macrophage and inflammatory gene expression in aorta);Upregulation of PPAR signaling pathway in liver\", \"bbox\": [323, 126, 467, 181]}, {\"cell\": \"[46]\", \"bbox\": [0, 185, 14, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [31, 185, 127, 195]}, {\"cell\": \"Western diet(42% energy from fat)supplemented 2% LCMUFA, olive oil, or not (control)\", \"bbox\": [162, 185, 253, 222]}, {\"cell\": \"12 weeks\", \"bbox\": [275, 185, 307, 195]}, {\"cell\": \"No change in plasma lipid levels;Atherosclerotic lesion area reduction;Anti-inflammation (Decreased plasma inflammatory cytokine levels and in aorta);Upregulation of PPAR signaling pathway in liver;Increase in n-3 PUFA and decrease in arachidonic acid (C20:4 n-6) in plasma and liver\", \"bbox\": [323, 185, 484, 249]}, {\"cell\": \"[48]\", \"bbox\": [0, 253, 14, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [31, 253, 118, 272]}, {\"cell\": \"High-fat diet(42% energy from fat)supplemented 6.5% LCMUFA, n-3 PUFA, or not (control)\", \"bbox\": [162, 253, 258, 290]}, {\"cell\": \"3 weeks\", \"bbox\": [275, 253, 303, 263]}, {\"cell\": \"No change in plasma lipid levels;Stimulation of peroxisomal β-oxidation in liver;Increase in n-3 PUFA and decrease in arachidonic acid (C20:4 n-6) in plasma and liver\", \"bbox\": [323, 253, 477, 290]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5120510_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}509{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>MRI (<i>N</i> = 168)</b></td><td><b>FDG-PET (<i>N</i> = 328)</b></td><td><b>CSF (<i>N</i> = 274)</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\"><b><i>APOE4</i> N (%)</b></td><td>50 (29.76%)</td><td>87 (26.5%)</td><td>71 (25.9%)</td></tr><tr><td colspan=\\\"2\\\"><b>AGE</b></td><td>73.4 (6.02)</td><td>74.5 (5.57)</td><td>74.4 (5.97)</td></tr><tr><td colspan=\\\"2\\\"><b>SEX (% Females)</b></td><td>53.6%</td><td>49.4%</td><td>50.4%</td></tr><tr><td colspan=\\\"2\\\"><b>MMSE</b></td><td>29.1 (1.07)</td><td>29.0 (1.24)</td><td>29.1 (1.15)</td></tr><tr><td colspan=\\\"2\\\"><b>YEARS OF EDUCATION</b></td><td>16.6 (2.55)</td><td>16.3 (2.77)</td><td>16.3 (2.69)</td></tr><tr><td><b>Aβ<sub>1–42</sub></b>***</td><td>TOTAL</td><td>200.7 (49.92)</td><td>201.4 (52.46)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><i>APOE4</i>−</td><td>211.3* (46.32)</td><td>213.5* (46.87)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><i>APOE4</i>+</td><td>175.4* (49.58)</td><td>165.2* (51.85)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>p-tau<sub>p181</sub></b>***</td><td>TOTAL</td><td>32.4 (16.41)</td><td>30.78 (18.14)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><i>APOE4</i>−</td><td>31.3 (16.68)</td><td>28.3* (15.31)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><i>APOE4</i>+</td><td>35.0 (15.62)</td><td>38.1* (23.38)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>t-tau</b>***</td><td>TOTAL</td><td>66.0 (31.88)</td><td>68.9 (34.57)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><i>APOE4</i>−</td><td>65.1 (32.60)</td><td>67.0 (34.84)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><i>APOE4</i>+</td><td>68.2 (30.34)</td><td>74.5 (33.41)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MRI (<i>N</i> = 168)</b>\", \"bbox\": [218, 2, 282, 18]}, {\"cell\": \"<b>FDG-PET (<i>N</i> = 328)</b>\", \"bbox\": [306, 2, 393, 18]}, {\"cell\": \"<b>CSF (<i>N</i> = 274)</b>\", \"bbox\": [418, 2, 480, 18]}, {\"cell\": \"<b><i>APOE4</i> N (%)</b>\", \"bbox\": [4, 19, 67, 34]}, {\"cell\": \"50 (29.76%)\", \"bbox\": [224, 19, 276, 34]}, {\"cell\": \"87 (26.5%)\", \"bbox\": [326, 19, 373, 34]}, {\"cell\": \"71 (25.9%)\", \"bbox\": [425, 19, 472, 34]}, {\"cell\": \"<b>AGE</b>\", \"bbox\": [4, 36, 28, 51]}, {\"cell\": \"73.4 (6.02)\", \"bbox\": [227, 36, 273, 51]}, {\"cell\": \"74.5 (5.57)\", \"bbox\": [326, 36, 373, 51]}, {\"cell\": \"74.4 (5.97)\", \"bbox\": [426, 36, 472, 51]}, {\"cell\": \"<b>SEX (% Females)</b>\", \"bbox\": [4, 53, 82, 68]}, {\"cell\": \"53.6%\", \"bbox\": [236, 53, 264, 68]}, {\"cell\": \"49.4%\", \"bbox\": [336, 53, 363, 68]}, {\"cell\": \"50.4%\", \"bbox\": [435, 53, 463, 68]}, {\"cell\": \"<b>MMSE</b>\", \"bbox\": [4, 70, 37, 85]}, {\"cell\": \"29.1 (1.07)\", \"bbox\": [227, 70, 273, 85]}, {\"cell\": \"29.0 (1.24)\", \"bbox\": [326, 70, 373, 85]}, {\"cell\": \"29.1 (1.15)\", \"bbox\": [426, 70, 472, 85]}, {\"cell\": \"<b>YEARS OF EDUCATION</b>\", \"bbox\": [4, 87, 119, 102]}, {\"cell\": \"16.6 (2.55)\", \"bbox\": [227, 87, 273, 102]}, {\"cell\": \"16.3 (2.77)\", \"bbox\": [326, 87, 373, 102]}, {\"cell\": \"16.3 (2.69)\", \"bbox\": [426, 87, 472, 102]}, {\"cell\": \"<b>Aβ<sub>1–42</sub></b>***\", \"bbox\": [4, 107, 45, 121]}, {\"cell\": \"TOTAL\", \"bbox\": [103, 104, 137, 119]}, {\"cell\": \"200.7 (49.92)\", \"bbox\": [222, 104, 278, 119]}, {\"cell\": \"201.4 (52.46)\", \"bbox\": [321, 104, 378, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 104, 477, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>APOE4</i>−\", \"bbox\": [103, 121, 141, 136]}, {\"cell\": \"211.3* (46.32)\", \"bbox\": [220, 121, 281, 136]}, {\"cell\": \"213.5* (46.87)\", \"bbox\": [319, 121, 380, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 121, 479, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>APOE4</i>+\", \"bbox\": [103, 141, 141, 152]}, {\"cell\": \"175.4* (49.58)\", \"bbox\": [220, 138, 281, 153]}, {\"cell\": \"165.2* (51.85)\", \"bbox\": [319, 138, 380, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 141, 479, 152]}, {\"cell\": \"<b>p-tau<sub>p181</sub></b>***\", \"bbox\": [4, 158, 56, 171]}, {\"cell\": \"TOTAL\", \"bbox\": [103, 155, 137, 170]}, {\"cell\": \"32.4 (16.41)\", \"bbox\": [225, 155, 276, 170]}, {\"cell\": \"30.78 (18.14)\", \"bbox\": [321, 155, 378, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 155, 477, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>APOE4</i>−\", \"bbox\": [103, 172, 141, 187]}, {\"cell\": \"31.3 (16.68)\", \"bbox\": [225, 172, 276, 187]}, {\"cell\": \"28.3* (15.31)\", \"bbox\": [321, 172, 378, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 172, 477, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>APOE4</i>+\", \"bbox\": [103, 192, 141, 203]}, {\"cell\": \"35.0 (15.62)\", \"bbox\": [225, 189, 276, 204]}, {\"cell\": \"38.1* (23.38)\", \"bbox\": [321, 189, 378, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [422, 189, 476, 204]}, {\"cell\": \"<b>t-tau</b>***\", \"bbox\": [4, 209, 42, 220]}, {\"cell\": \"TOTAL\", \"bbox\": [103, 206, 137, 221]}, {\"cell\": \"66.0 (31.88)\", \"bbox\": [225, 206, 276, 221]}, {\"cell\": \"68.9 (34.57)\", \"bbox\": [324, 206, 375, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 206, 474, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>APOE4</i>−\", \"bbox\": [103, 223, 141, 238]}, {\"cell\": \"65.1 (32.60)\", \"bbox\": [225, 223, 276, 238]}, {\"cell\": \"67.0 (34.84)\", \"bbox\": [324, 223, 375, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 223, 479, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>APOE4</i>+\", \"bbox\": [103, 243, 141, 254]}, {\"cell\": \"68.2 (30.34)\", \"bbox\": [225, 240, 276, 255]}, {\"cell\": \"74.5 (33.41)\", \"bbox\": [324, 240, 375, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 240, 479, 255]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4694943_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}510{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>MiRNA</b></td><td><b>miRNA-class</b></td><td><b>Chr.</b></td><td><b>Host Gene</b></td><td><b>Transcribed direction</b></td><td><b>LFC</b></td><td><b>Tumor Suppressor</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td><b>let-7c-5p</b></td><td>Canonical</td><td>21</td><td><i>MIR99AHG</i></td><td>[EMPTY_CELL]</td><td>−2.13</td><td>Yes</td><td>0.001</td></tr><tr><td><b>let-7b-5p</b></td><td>Canonical</td><td>22</td><td><i>MIRLET7BHG</i></td><td>[EMPTY_CELL]</td><td>−2.49</td><td>Yes</td><td>0.002</td></tr><tr><td rowspan=\\\"3\\\"><b>let-7f-5p</b> let-7f-1 let-7f-2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−1.4</td><td>Yes</td><td>0.004</td></tr><tr><td>Canonical</td><td>9</td><td><i>JB153432</i></td><td>Same</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Canonical</td><td>x</td><td><i>HUWE1</i></td><td>Same</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\"><b>let-7a-5p</b> let-7a-1 let-7a-2 let-7a-3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−1.67</td><td>Yes</td><td>0.005</td></tr><tr><td>Canonical</td><td>9</td><td><i>JB153432</i></td><td>Same</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Canonical</td><td>11</td><td><i>MIRLET100</i></td><td>Same</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Canonical</td><td>22</td><td><i>MIRLET7BHG</i></td><td>Same</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>hsa-miR-423-5p</b></td><td>Canonical</td><td>17</td><td><i>NSRP1</i></td><td>[EMPTY_CELL]</td><td>−1.66</td><td>Yes</td><td>0.007</td></tr><tr><td rowspan=\\\"3\\\"><b>hsa-miR-103a-3p</b> hsa-miR-103a-1 hsa-miR-103a-2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−0.87</td><td>Yes</td><td>0.009</td></tr><tr><td>Canonical</td><td>5</td><td><i>PANK3</i></td><td>Same</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Canonical</td><td>20</td><td><i>PANK2</i></td><td>Same</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>hsa-miR-26b-5p</b></td><td>Canonical</td><td>2</td><td><i>CTDSP1</i></td><td>[EMPTY_CELL]</td><td>−2.24</td><td>Yes</td><td>0.011</td></tr><tr><td><b>let-7i-5p</b></td><td>Canonical</td><td>12</td><td>No host gene</td><td>[EMPTY_CELL]</td><td>−1.09</td><td>Yes</td><td>0.011</td></tr><tr><td><b>hsa-miR-15a-5p</b></td><td>Canonical</td><td>13</td><td><i>DLEU2</i></td><td>[EMPTY_CELL]</td><td>−1.18</td><td>Unknown</td><td>0.011</td></tr><tr><td><b>hsa-miR-3605-5p</b></td><td>Mirtron</td><td>1</td><td><i>PHC2</i></td><td>[EMPTY_CELL]</td><td>−1.23</td><td>Unknown</td><td>0.030</td></tr><tr><td><b>hsa-miR-192-5p</b></td><td>Canonical</td><td>11</td><td><i>AB429224</i></td><td>[EMPTY_CELL]</td><td>−0.84</td><td>Yes</td><td>0.047</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>MiRNA</b>\", \"bbox\": [25, 11, 61, 19]}, {\"cell\": \"<b>miRNA-class</b>\", \"bbox\": [87, 7, 145, 22]}, {\"cell\": \"<b>Chr.</b>\", \"bbox\": [172, 7, 193, 22]}, {\"cell\": \"<b>Host Gene</b>\", \"bbox\": [232, 7, 278, 22]}, {\"cell\": \"<b>Transcribed direction</b>\", \"bbox\": [299, 1, 353, 28]}, {\"cell\": \"<b>LFC</b>\", \"bbox\": [365, 11, 387, 19]}, {\"cell\": \"<b>Tumor Suppressor</b>\", \"bbox\": [397, 1, 447, 28]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [457, 7, 491, 22]}, {\"cell\": \"<b>let-7c-5p</b>\", \"bbox\": [5, 28, 44, 43]}, {\"cell\": \"Canonical\", \"bbox\": [95, 31, 138, 42]}, {\"cell\": \"21\", \"bbox\": [177, 31, 189, 42]}, {\"cell\": \"<i>MIR99AHG</i>\", \"bbox\": [230, 31, 280, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 31, 338, 42]}, {\"cell\": \"−2.13\", \"bbox\": [363, 28, 388, 43]}, {\"cell\": \"Yes\", \"bbox\": [414, 31, 430, 42]}, {\"cell\": \"0.001\", \"bbox\": [462, 31, 487, 42]}, {\"cell\": \"<b>let-7b-5p</b>\", \"bbox\": [5, 43, 45, 58]}, {\"cell\": \"Canonical\", \"bbox\": [95, 46, 138, 57]}, {\"cell\": \"22\", \"bbox\": [177, 46, 189, 57]}, {\"cell\": \"<i>MIRLET7BHG</i>\", \"bbox\": [224, 46, 286, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 46, 338, 57]}, {\"cell\": \"−2.49\", \"bbox\": [363, 43, 388, 58]}, {\"cell\": \"Yes\", \"bbox\": [414, 46, 430, 57]}, {\"cell\": \"0.002\", \"bbox\": [462, 46, 487, 57]}, {\"cell\": \"<b>let-7f-5p</b> let-7f-1 let-7f-2\", \"bbox\": [5, 58, 57, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−1.4\", \"bbox\": [365, 58, 386, 73]}, {\"cell\": \"Yes\", \"bbox\": [414, 61, 430, 72]}, {\"cell\": \"0.004\", \"bbox\": [462, 61, 487, 72]}, {\"cell\": \"Canonical\", \"bbox\": [95, 76, 138, 87]}, {\"cell\": \"9\", \"bbox\": [179, 76, 186, 87]}, {\"cell\": \"<i>JB153432</i>\", \"bbox\": [234, 76, 276, 85]}, {\"cell\": \"Same\", \"bbox\": [314, 76, 338, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Canonical\", \"bbox\": [95, 91, 138, 102]}, {\"cell\": \"x\", \"bbox\": [179, 91, 186, 102]}, {\"cell\": \"<i>HUWE1</i>\", \"bbox\": [237, 91, 273, 100]}, {\"cell\": \"Same\", \"bbox\": [314, 91, 338, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>let-7a-5p</b> let-7a-1 let-7a-2 let-7a-3\", \"bbox\": [5, 103, 58, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−1.67\", \"bbox\": [363, 103, 388, 118]}, {\"cell\": \"Yes\", \"bbox\": [414, 106, 430, 117]}, {\"cell\": \"0.005\", \"bbox\": [462, 106, 486, 117]}, {\"cell\": \"Canonical\", \"bbox\": [95, 121, 138, 132]}, {\"cell\": \"9\", \"bbox\": [179, 121, 186, 132]}, {\"cell\": \"<i>JB153432</i>\", \"bbox\": [234, 121, 276, 130]}, {\"cell\": \"Same\", \"bbox\": [314, 121, 338, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Canonical\", \"bbox\": [95, 136, 138, 147]}, {\"cell\": \"11\", \"bbox\": [177, 136, 188, 147]}, {\"cell\": \"<i>MIRLET100</i>\", \"bbox\": [229, 136, 281, 145]}, {\"cell\": \"Same\", \"bbox\": [314, 136, 338, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Canonical\", \"bbox\": [95, 151, 138, 162]}, {\"cell\": \"22\", \"bbox\": [177, 151, 189, 162]}, {\"cell\": \"<i>MIRLET7BHG</i>\", \"bbox\": [224, 151, 286, 160]}, {\"cell\": \"Same\", \"bbox\": [314, 151, 338, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>hsa-miR-423-5p</b>\", \"bbox\": [5, 162, 75, 178]}, {\"cell\": \"Canonical\", \"bbox\": [95, 166, 138, 177]}, {\"cell\": \"17\", \"bbox\": [177, 166, 189, 177]}, {\"cell\": \"<i>NSRP1</i>\", \"bbox\": [240, 166, 270, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 166, 338, 177]}, {\"cell\": \"−1.66\", \"bbox\": [363, 163, 388, 178]}, {\"cell\": \"Yes\", \"bbox\": [414, 166, 430, 177]}, {\"cell\": \"0.007\", \"bbox\": [462, 166, 486, 177]}, {\"cell\": \"<b>hsa-miR-103a-3p</b> hsa-miR-103a-1 hsa-miR-103a-2\", \"bbox\": [5, 177, 81, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.87\", \"bbox\": [363, 178, 388, 193]}, {\"cell\": \"Yes\", \"bbox\": [414, 181, 430, 192]}, {\"cell\": \"0.009\", \"bbox\": [462, 181, 486, 192]}, {\"cell\": \"Canonical\", \"bbox\": [95, 196, 138, 207]}, {\"cell\": \"5\", \"bbox\": [179, 196, 186, 207]}, {\"cell\": \"<i>PANK3</i>\", \"bbox\": [239, 196, 271, 205]}, {\"cell\": \"Same\", \"bbox\": [314, 196, 338, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Canonical\", \"bbox\": [95, 211, 138, 222]}, {\"cell\": \"20\", \"bbox\": [177, 211, 189, 222]}, {\"cell\": \"<i>PANK2</i>\", \"bbox\": [239, 211, 271, 220]}, {\"cell\": \"Same\", \"bbox\": [314, 211, 338, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>hsa-miR-26b-5p</b>\", \"bbox\": [5, 222, 76, 237]}, {\"cell\": \"Canonical\", \"bbox\": [95, 226, 138, 237]}, {\"cell\": \"2\", \"bbox\": [179, 226, 186, 237]}, {\"cell\": \"<i>CTDSP1</i>\", \"bbox\": [236, 226, 274, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 226, 338, 237]}, {\"cell\": \"−2.24\", \"bbox\": [363, 222, 388, 238]}, {\"cell\": \"Yes\", \"bbox\": [414, 226, 430, 237]}, {\"cell\": \"0.011\", \"bbox\": [462, 226, 486, 237]}, {\"cell\": \"<b>let-7i-5p</b>\", \"bbox\": [5, 237, 43, 252]}, {\"cell\": \"Canonical\", \"bbox\": [95, 240, 138, 252]}, {\"cell\": \"12\", \"bbox\": [177, 240, 189, 252]}, {\"cell\": \"No host gene\", \"bbox\": [228, 240, 282, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 240, 336, 252]}, {\"cell\": \"−1.09\", \"bbox\": [363, 237, 388, 252]}, {\"cell\": \"Yes\", \"bbox\": [414, 240, 430, 252]}, {\"cell\": \"0.011\", \"bbox\": [462, 240, 486, 252]}, {\"cell\": \"<b>hsa-miR-15a-5p</b>\", \"bbox\": [5, 252, 75, 267]}, {\"cell\": \"Canonical\", \"bbox\": [95, 255, 138, 266]}, {\"cell\": \"13\", \"bbox\": [177, 255, 189, 266]}, {\"cell\": \"<i>DLEU2</i>\", \"bbox\": [238, 256, 272, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 255, 338, 266]}, {\"cell\": \"−1.18\", \"bbox\": [363, 252, 388, 267]}, {\"cell\": \"Unknown\", \"bbox\": [401, 255, 443, 266]}, {\"cell\": \"0.011\", \"bbox\": [462, 255, 486, 266]}, {\"cell\": \"<b>hsa-miR-3605-5p</b>\", \"bbox\": [5, 267, 80, 282]}, {\"cell\": \"Mirtron\", \"bbox\": [100, 270, 133, 281]}, {\"cell\": \"1\", \"bbox\": [179, 270, 186, 281]}, {\"cell\": \"<i>PHC2</i>\", \"bbox\": [242, 271, 269, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 270, 338, 281]}, {\"cell\": \"−1.23\", \"bbox\": [363, 267, 388, 282]}, {\"cell\": \"Unknown\", \"bbox\": [401, 270, 443, 281]}, {\"cell\": \"0.030\", \"bbox\": [462, 270, 486, 281]}, {\"cell\": \"<b>hsa-miR-192-5p</b>\", \"bbox\": [5, 282, 75, 297]}, {\"cell\": \"Canonical\", \"bbox\": [95, 285, 138, 296]}, {\"cell\": \"11\", \"bbox\": [177, 285, 188, 296]}, {\"cell\": \"<i>AB429224</i>\", \"bbox\": [233, 285, 277, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [314, 285, 338, 296]}, {\"cell\": \"−0.84\", \"bbox\": [363, 282, 388, 297]}, {\"cell\": \"Yes\", \"bbox\": [414, 285, 430, 296]}, {\"cell\": \"0.047\", \"bbox\": [462, 285, 486, 296]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4891095_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}511{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Participants' response</b></td><td><b>Domain</b></td><td><b>Example</b></td></tr></thead><tbody><tr><td>Agree or strongly agree</td><td>1) ability to plan</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2) communication preferences</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3) knowledge preferences</td><td>[EMPTY_CELL]</td></tr><tr><td>Disagree or strongly disagree</td><td>1) ability to plan</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2) communication preferences</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3) knowledge preferences</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Participants' response</b>\", \"bbox\": [4, 4, 79, 14]}, {\"cell\": \"<b>Domain</b>\", \"bbox\": [128, 4, 157, 14]}, {\"cell\": \"<b>Example</b>\", \"bbox\": [252, 4, 282, 14]}, {\"cell\": \"Agree or strongly agree\", \"bbox\": [4, 27, 86, 36]}, {\"cell\": \"1) ability to plan\", \"bbox\": [128, 27, 184, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 27, 495, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2) communication preferences\", \"bbox\": [128, 55, 232, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 55, 495, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3) knowledge preferences\", \"bbox\": [128, 75, 217, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 75, 487, 94]}, {\"cell\": \"Disagree or strongly disagree\", \"bbox\": [4, 94, 105, 104]}, {\"cell\": \"1) ability to plan\", \"bbox\": [128, 94, 184, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 94, 475, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2) communication preferences\", \"bbox\": [128, 105, 232, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 105, 495, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3) knowledge preferences\", \"bbox\": [128, 133, 217, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 133, 489, 152]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1386682_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}512{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Isolation of <i>Aspergillus </i>spp.</b></td><td><b><i>Candida </i>spp. infection</b></td><td><b>Noncolonized, uninfected patients</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Patients (<i>n</i>)</td><td>[EMPTY_CELL]</td><td>105</td><td>720</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (years; mean ± SD)</td><td>[EMPTY_CELL]</td><td>59.5 ± 16.3</td><td>56.4 ± 17.4</td><td>NS</td></tr><tr><td>Men (<i>n </i>[%])</td><td>[EMPTY_CELL]</td><td>76 (72.4)</td><td>491 (68.2)</td><td>NS</td></tr><tr><td>APACHE II score (mean ± SD)</td><td>[EMPTY_CELL]</td><td>18.5 ± 6.5</td><td>18.9 ± 8.1</td><td>0.05</td></tr><tr><td>ICU stay (days; mean ± SD)</td><td>[EMPTY_CELL]</td><td>32.8 (22.6)</td><td>18.4 (14.1)</td><td><0.001</td></tr><tr><td colspan=\\\"5\\\">Risk factors before ICU admission (<i>n </i>[%])</td></tr><tr><td>Diabetes mellitus</td><td>[EMPTY_CELL]</td><td>18 (17.1)</td><td>113 (15.7)</td><td>NS</td></tr><tr><td>COPD</td><td>[EMPTY_CELL]</td><td>16 (15.2)</td><td>179 (24.9)</td><td>0.002</td></tr><tr><td>Solid neoplasm</td><td>[EMPTY_CELL]</td><td>21 (20)</td><td>65 (9)</td><td>0.002</td></tr><tr><td>Hematological neoplasm</td><td>[EMPTY_CELL]</td><td>3 (2.9)</td><td>18 (2.5)</td><td>NS</td></tr><tr><td>Transplant recipient</td><td>[EMPTY_CELL]</td><td>0</td><td>3 (0.4)</td><td><0.001</td></tr><tr><td>Immunosuppression</td><td>[EMPTY_CELL]</td><td>8 (7.6)</td><td>48 (6.7)</td><td><0.001</td></tr><tr><td>Chronic renal failure</td><td>[EMPTY_CELL]</td><td>4 (3.8)</td><td>26 (3.6)</td><td>NS</td></tr><tr><td>HIV infection</td><td>[EMPTY_CELL]</td><td>2 (1.9)</td><td>9 (1.3)</td><td>NS</td></tr><tr><td>Chronic liver disease</td><td>[EMPTY_CELL]</td><td>3 (2.9)</td><td>29 (4)</td><td>NS</td></tr><tr><td>Severe heart failure</td><td>[EMPTY_CELL]</td><td>4 (3.8)</td><td>41 (5.7)</td><td>NS</td></tr><tr><td>Radiation therapy</td><td>[EMPTY_CELL]</td><td>4 (3.8)</td><td>7 (1)</td><td>NS</td></tr><tr><td>Chemotherapy</td><td>[EMPTY_CELL]</td><td>3 (2.9)</td><td>13 (1.8)</td><td>NS</td></tr><tr><td colspan=\\\"5\\\">Risk factors during ICU stay</td></tr><tr><td>Arterial catheter</td><td>[EMPTY_CELL]</td><td>74 (70.4)</td><td>498 (69.1)</td><td>NS</td></tr><tr><td>Venous catheter</td><td>[EMPTY_CELL]</td><td>104 (99.0)</td><td>711 (98.6)</td><td>NS</td></tr><tr><td>Urinary catheter</td><td>[EMPTY_CELL]</td><td>100 (95.2)</td><td>703 (97.5)</td><td>NS</td></tr><tr><td>Mechanical ventilation</td><td>[EMPTY_CELL]</td><td>99 (94.2)</td><td>640 (88.8)</td><td>0.019</td></tr><tr><td>Total parenteral nutrition</td><td>[EMPTY_CELL]</td><td>90 (85.7)</td><td>274 (38.0)</td><td><0.001</td></tr><tr><td>Haemodialysis</td><td>[EMPTY_CELL]</td><td>34 (32.3)</td><td>56 (7.8)</td><td><0.001</td></tr><tr><td>Neutropenia</td><td>[EMPTY_CELL]</td><td>5 (4.7)</td><td>20 (2.8)</td><td>0.001</td></tr><tr><td>Steroids</td><td>[EMPTY_CELL]</td><td>25 (23.8)</td><td>139 (19.3)</td><td><0.001</td></tr><tr><td>Antibiotic treatment</td><td>[EMPTY_CELL]</td><td>105 (100)</td><td>674 (93.5)</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [5, 9, 30, 18]}, {\"cell\": \"<b>Isolation of <i>Aspergillus </i>spp.</b>\", \"bbox\": [112, 9, 196, 18]}, {\"cell\": \"<b><i>Candida </i>spp. infection</b>\", \"bbox\": [217, 9, 287, 18]}, {\"cell\": \"<b>Noncolonized, uninfected patients</b>\", \"bbox\": [307, 9, 410, 18]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [455, 9, 461, 18]}, {\"cell\": \"Patients (<i>n</i>)\", \"bbox\": [5, 27, 41, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 27, 159, 36]}, {\"cell\": \"105\", \"bbox\": [245, 27, 259, 36]}, {\"cell\": \"720\", \"bbox\": [351, 27, 365, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years; mean ± SD)\", \"bbox\": [5, 42, 79, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 42, 174, 51]}, {\"cell\": \"59.5 ± 16.3\", \"bbox\": [233, 42, 271, 51]}, {\"cell\": \"56.4 ± 17.4\", \"bbox\": [339, 42, 377, 51]}, {\"cell\": \"NS\", \"bbox\": [452, 42, 464, 51]}, {\"cell\": \"Men (<i>n </i>[%])\", \"bbox\": [5, 56, 42, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 56, 166, 65]}, {\"cell\": \"76 (72.4)\", \"bbox\": [237, 56, 267, 65]}, {\"cell\": \"491 (68.2)\", \"bbox\": [341, 56, 375, 65]}, {\"cell\": \"NS\", \"bbox\": [452, 56, 464, 65]}, {\"cell\": \"APACHE II score (mean ± SD)\", \"bbox\": [5, 71, 99, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 71, 171, 80]}, {\"cell\": \"18.5 ± 6.5\", \"bbox\": [235, 71, 269, 80]}, {\"cell\": \"18.9 ± 8.1\", \"bbox\": [341, 71, 375, 80]}, {\"cell\": \"0.05\", \"bbox\": [450, 71, 466, 80]}, {\"cell\": \"ICU stay (days; mean ± SD)\", \"bbox\": [5, 85, 90, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 85, 174, 94]}, {\"cell\": \"32.8 (22.6)\", \"bbox\": [234, 85, 270, 94]}, {\"cell\": \"18.4 (14.1)\", \"bbox\": [340, 85, 376, 94]}, {\"cell\": \"<0.001\", \"bbox\": [446, 85, 470, 94]}, {\"cell\": \"Risk factors before ICU admission (<i>n </i>[%])\", \"bbox\": [5, 100, 130, 109]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [24, 114, 77, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 114, 167, 123]}, {\"cell\": \"18 (17.1)\", \"bbox\": [237, 114, 267, 123]}, {\"cell\": \"113 (15.7)\", \"bbox\": [341, 114, 375, 123]}, {\"cell\": \"NS\", \"bbox\": [452, 114, 464, 123]}, {\"cell\": \"COPD\", \"bbox\": [24, 129, 47, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 129, 169, 138]}, {\"cell\": \"16 (15.2)\", \"bbox\": [237, 129, 267, 138]}, {\"cell\": \"179 (24.9)\", \"bbox\": [341, 129, 375, 138]}, {\"cell\": \"0.002\", \"bbox\": [448, 129, 468, 138]}, {\"cell\": \"Solid neoplasm\", \"bbox\": [24, 143, 72, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 143, 165, 152]}, {\"cell\": \"21 (20)\", \"bbox\": [240, 143, 264, 152]}, {\"cell\": \"65 (9)\", \"bbox\": [348, 143, 369, 152]}, {\"cell\": \"0.002\", \"bbox\": [448, 143, 468, 152]}, {\"cell\": \"Hematological neoplasm\", \"bbox\": [24, 158, 100, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 158, 165, 167]}, {\"cell\": \"3 (2.9)\", \"bbox\": [241, 158, 263, 167]}, {\"cell\": \"18 (2.5)\", \"bbox\": [345, 158, 371, 167]}, {\"cell\": \"NS\", \"bbox\": [452, 158, 464, 167]}, {\"cell\": \"Transplant recipient\", \"bbox\": [24, 172, 85, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 172, 165, 181]}, {\"cell\": \"0\", \"bbox\": [249, 172, 255, 181]}, {\"cell\": \"3 (0.4)\", \"bbox\": [347, 172, 369, 181]}, {\"cell\": \"<0.001\", \"bbox\": [446, 172, 470, 181]}, {\"cell\": \"Immunosuppression\", \"bbox\": [24, 187, 86, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 187, 169, 196]}, {\"cell\": \"8 (7.6)\", \"bbox\": [241, 187, 263, 196]}, {\"cell\": \"48 (6.7)\", \"bbox\": [345, 187, 371, 196]}, {\"cell\": \"<0.001\", \"bbox\": [446, 187, 470, 196]}, {\"cell\": \"Chronic renal failure\", \"bbox\": [24, 201, 86, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 201, 165, 210]}, {\"cell\": \"4 (3.8)\", \"bbox\": [241, 201, 263, 210]}, {\"cell\": \"26 (3.6)\", \"bbox\": [345, 201, 371, 210]}, {\"cell\": \"NS\", \"bbox\": [452, 201, 464, 210]}, {\"cell\": \"HIV infection\", \"bbox\": [24, 216, 65, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 216, 165, 225]}, {\"cell\": \"2 (1.9)\", \"bbox\": [241, 216, 263, 225]}, {\"cell\": \"9 (1.3)\", \"bbox\": [347, 216, 369, 225]}, {\"cell\": \"NS\", \"bbox\": [452, 216, 464, 225]}, {\"cell\": \"Chronic liver disease\", \"bbox\": [24, 230, 89, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 230, 165, 239]}, {\"cell\": \"3 (2.9)\", \"bbox\": [241, 230, 263, 239]}, {\"cell\": \"29 (4)\", \"bbox\": [348, 230, 369, 239]}, {\"cell\": \"NS\", \"bbox\": [452, 230, 464, 239]}, {\"cell\": \"Severe heart failure\", \"bbox\": [24, 245, 84, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 245, 165, 254]}, {\"cell\": \"4 (3.8)\", \"bbox\": [241, 245, 263, 254]}, {\"cell\": \"41 (5.7)\", \"bbox\": [345, 245, 371, 254]}, {\"cell\": \"NS\", \"bbox\": [452, 245, 464, 254]}, {\"cell\": \"Radiation therapy\", \"bbox\": [24, 259, 78, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 259, 157, 268]}, {\"cell\": \"4 (3.8)\", \"bbox\": [241, 259, 263, 268]}, {\"cell\": \"7 (1)\", \"bbox\": [350, 259, 366, 268]}, {\"cell\": \"NS\", \"bbox\": [452, 259, 464, 268]}, {\"cell\": \"Chemotherapy\", \"bbox\": [24, 274, 70, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 274, 165, 283]}, {\"cell\": \"3 (2.9)\", \"bbox\": [241, 274, 263, 283]}, {\"cell\": \"13 (1.8)\", \"bbox\": [345, 274, 371, 283]}, {\"cell\": \"NS\", \"bbox\": [452, 274, 464, 283]}, {\"cell\": \"Risk factors during ICU stay\", \"bbox\": [5, 288, 90, 297]}, {\"cell\": \"Arterial catheter\", \"bbox\": [24, 303, 74, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 303, 169, 312]}, {\"cell\": \"74 (70.4)\", \"bbox\": [237, 303, 267, 312]}, {\"cell\": \"498 (69.1)\", \"bbox\": [341, 303, 375, 312]}, {\"cell\": \"NS\", \"bbox\": [452, 303, 464, 312]}, {\"cell\": \"Venous catheter\", \"bbox\": [24, 317, 75, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 317, 168, 326]}, {\"cell\": \"104 (99.0)\", \"bbox\": [235, 317, 269, 326]}, {\"cell\": \"711 (98.6)\", \"bbox\": [341, 317, 375, 326]}, {\"cell\": \"NS\", \"bbox\": [452, 317, 464, 326]}, {\"cell\": \"Urinary catheter\", \"bbox\": [24, 332, 74, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 332, 168, 341]}, {\"cell\": \"100 (95.2)\", \"bbox\": [235, 332, 269, 341]}, {\"cell\": \"703 (97.5)\", \"bbox\": [341, 332, 375, 341]}, {\"cell\": \"NS\", \"bbox\": [452, 332, 464, 341]}, {\"cell\": \"Mechanical ventilation\", \"bbox\": [24, 346, 92, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 346, 169, 355]}, {\"cell\": \"99 (94.2)\", \"bbox\": [237, 346, 267, 355]}, {\"cell\": \"640 (88.8)\", \"bbox\": [341, 346, 375, 355]}, {\"cell\": \"0.019\", \"bbox\": [448, 346, 468, 355]}, {\"cell\": \"Total parenteral nutrition\", \"bbox\": [24, 361, 98, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 361, 169, 370]}, {\"cell\": \"90 (85.7)\", \"bbox\": [237, 361, 267, 370]}, {\"cell\": \"274 (38.0)\", \"bbox\": [341, 361, 375, 370]}, {\"cell\": \"<0.001\", \"bbox\": [446, 361, 470, 370]}, {\"cell\": \"Haemodialysis\", \"bbox\": [24, 375, 69, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 375, 169, 384]}, {\"cell\": \"34 (32.3)\", \"bbox\": [237, 375, 267, 384]}, {\"cell\": \"56 (7.8)\", \"bbox\": [345, 375, 371, 384]}, {\"cell\": \"<0.001\", \"bbox\": [446, 375, 470, 384]}, {\"cell\": \"Neutropenia\", \"bbox\": [24, 390, 63, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 390, 167, 399]}, {\"cell\": \"5 (4.7)\", \"bbox\": [241, 390, 263, 399]}, {\"cell\": \"20 (2.8)\", \"bbox\": [345, 390, 371, 399]}, {\"cell\": \"0.001\", \"bbox\": [448, 390, 468, 399]}, {\"cell\": \"Steroids\", \"bbox\": [24, 404, 52, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 404, 169, 413]}, {\"cell\": \"25 (23.8)\", \"bbox\": [237, 404, 267, 413]}, {\"cell\": \"139 (19.3)\", \"bbox\": [341, 404, 375, 413]}, {\"cell\": \"<0.001\", \"bbox\": [446, 404, 470, 413]}, {\"cell\": \"Antibiotic treatment\", \"bbox\": [24, 419, 85, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 419, 168, 428]}, {\"cell\": \"105 (100)\", \"bbox\": [236, 419, 269, 428]}, {\"cell\": \"674 (93.5)\", \"bbox\": [341, 419, 375, 428]}, {\"cell\": \"<0.001\", \"bbox\": [446, 419, 470, 428]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1175876_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}513{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Pat</b></td><td colspan=\\\"2\\\"><b>2 days</b></td><td colspan=\\\"2\\\"><b>7 days</b></td><td colspan=\\\"2\\\"><b>14 days</b></td><td rowspan=\\\"2\\\"><b>P-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>n</b></td><td><b>Risk</b></td><td><b>n</b></td><td><b>Risk</b></td><td><b>n</b></td><td><b>Risk</b></td></tr></thead><tbody><tr><td>Age <60 years</td><td>[EMPTY_CELL]</td><td>1</td><td>5% (0-15%)</td><td>1</td><td>5% (0-15%)</td><td>2</td><td>11% (0-25%)</td><td>p = 0.95</td></tr><tr><td>Age ≥60 years</td><td>[EMPTY_CELL]</td><td>11</td><td>5% (2-8%)</td><td>17</td><td>8% (4-12%)</td><td>23</td><td>11% (7-16%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Blood Pressure <140/90</td><td>[EMPTY_CELL]</td><td>5</td><td>11% (2-20%)</td><td>7</td><td>15% (5-26%)</td><td>8</td><td>17% (6-28%)</td><td>p = 0.10</td></tr><tr><td>Blood Pressure ≥140/90</td><td>[EMPTY_CELL]</td><td>7</td><td>4% (1-7%)</td><td>11</td><td>6% (2-10%)</td><td>17</td><td>10% (5-14%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Clinical presentation: Other</td><td>[EMPTY_CELL]</td><td>2</td><td>3% (0-7%)</td><td>2</td><td>3% (0-7%)</td><td>2</td><td>3% (0-7%)</td><td>p = 0.06</td></tr><tr><td>Clinical presentation: Speech disturbance</td><td>[EMPTY_CELL]</td><td>1</td><td>6% (0-17%)</td><td>3</td><td>18% (0-37%)</td><td>3</td><td>18% (0-37%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Clinical presentation: Focal weakness</td><td>[EMPTY_CELL]</td><td>9</td><td>6% (2-10%)</td><td>13</td><td>9% (4-13%)</td><td>20</td><td>14% (8-20%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Duration <10 min*</td><td>[EMPTY_CELL]</td><td>2</td><td>3% (0-8%)</td><td>2</td><td>3% (0-8%)</td><td>4</td><td>7% (0-14%)</td><td>p = 0.45</td></tr><tr><td>Duration 10-59 min*</td><td>[EMPTY_CELL]</td><td>2</td><td>6% (0-13%)</td><td>5</td><td>14% (3-25%)</td><td>5</td><td>14% (3-25%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Duration ≥60 min*</td><td>[EMPTY_CELL]</td><td>8</td><td>6% (2-10%)</td><td>11</td><td>9% (4-13%)</td><td>16</td><td>13% (7-18%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Diabetes: Absent</td><td>[EMPTY_CELL]</td><td>9</td><td>5% (2-9%)</td><td>13</td><td>8% (4-12%)</td><td>18</td><td>11% (6-16%)</td><td>p = 0.91</td></tr><tr><td>Diabetes: Present</td><td>[EMPTY_CELL]</td><td>3</td><td>5% (0-10%)</td><td>5</td><td>8% (1-15%)</td><td>7</td><td>12% (3-20%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Dual events: Absent</td><td>[EMPTY_CELL]</td><td>10</td><td>5% (2-9%)</td><td>14</td><td>8% (4-12%)</td><td>19</td><td>11% (6-15%)</td><td>p = 0.61</td></tr><tr><td>Dual events: Present</td><td>[EMPTY_CELL]</td><td>2</td><td>4% (0-10%)</td><td>4</td><td>9% (0-17%)</td><td>6</td><td>14% (3-25%)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Pat</b>\", \"bbox\": [153, 4, 167, 13]}, {\"cell\": \"<b>2 days</b>\", \"bbox\": [186, 4, 211, 13]}, {\"cell\": \"<b>7 days</b>\", \"bbox\": [277, 4, 301, 13]}, {\"cell\": \"<b>14 days</b>\", \"bbox\": [367, 4, 396, 13]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n</b>\", \"bbox\": [186, 17, 193, 27]}, {\"cell\": \"<b>Risk</b>\", \"bbox\": [215, 17, 231, 27]}, {\"cell\": \"<b>n</b>\", \"bbox\": [277, 17, 283, 27]}, {\"cell\": \"<b>Risk</b>\", \"bbox\": [306, 17, 322, 27]}, {\"cell\": \"<b>n</b>\", \"bbox\": [367, 17, 373, 27]}, {\"cell\": \"<b>Risk</b>\", \"bbox\": [396, 17, 412, 27]}, {\"cell\": \"Age <60 years\", \"bbox\": [1, 30, 49, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 30, 163, 40]}, {\"cell\": \"1\", \"bbox\": [186, 30, 192, 40]}, {\"cell\": \"5% (0-15%)\", \"bbox\": [215, 30, 253, 40]}, {\"cell\": \"1\", \"bbox\": [277, 30, 282, 40]}, {\"cell\": \"5% (0-15%)\", \"bbox\": [306, 30, 344, 40]}, {\"cell\": \"2\", \"bbox\": [367, 30, 373, 40]}, {\"cell\": \"11% (0-25%)\", \"bbox\": [396, 30, 438, 40]}, {\"cell\": \"p = 0.95\", \"bbox\": [457, 30, 484, 40]}, {\"cell\": \"Age ≥60 years\", \"bbox\": [1, 44, 49, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 44, 167, 54]}, {\"cell\": \"11\", \"bbox\": [186, 44, 196, 54]}, {\"cell\": \"5% (2-8%)\", \"bbox\": [215, 44, 249, 54]}, {\"cell\": \"17\", \"bbox\": [277, 44, 286, 54]}, {\"cell\": \"8% (4-12%)\", \"bbox\": [306, 44, 344, 54]}, {\"cell\": \"23\", \"bbox\": [367, 44, 376, 54]}, {\"cell\": \"11% (7-16%)\", \"bbox\": [396, 44, 438, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Blood Pressure <140/90\", \"bbox\": [1, 58, 79, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 58, 163, 68]}, {\"cell\": \"5\", \"bbox\": [186, 58, 192, 68]}, {\"cell\": \"11% (2-20%)\", \"bbox\": [215, 58, 257, 68]}, {\"cell\": \"7\", \"bbox\": [277, 58, 282, 68]}, {\"cell\": \"15% (5-26%)\", \"bbox\": [306, 58, 347, 68]}, {\"cell\": \"8\", \"bbox\": [367, 58, 373, 68]}, {\"cell\": \"17% (6-28%)\", \"bbox\": [396, 58, 438, 68]}, {\"cell\": \"p = 0.10\", \"bbox\": [457, 58, 484, 68]}, {\"cell\": \"Blood Pressure ≥140/90\", \"bbox\": [1, 72, 79, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 72, 167, 82]}, {\"cell\": \"7\", \"bbox\": [186, 72, 192, 82]}, {\"cell\": \"4% (1-7%)\", \"bbox\": [215, 72, 249, 82]}, {\"cell\": \"11\", \"bbox\": [277, 72, 286, 82]}, {\"cell\": \"6% (2-10%)\", \"bbox\": [306, 72, 344, 82]}, {\"cell\": \"17\", \"bbox\": [367, 72, 376, 82]}, {\"cell\": \"10% (5-14%)\", \"bbox\": [396, 72, 438, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Clinical presentation: Other\", \"bbox\": [1, 86, 89, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 86, 163, 96]}, {\"cell\": \"2\", \"bbox\": [186, 86, 192, 96]}, {\"cell\": \"3% (0-7%)\", \"bbox\": [215, 86, 249, 96]}, {\"cell\": \"2\", \"bbox\": [277, 86, 282, 96]}, {\"cell\": \"3% (0-7%)\", \"bbox\": [306, 86, 340, 96]}, {\"cell\": \"2\", \"bbox\": [367, 86, 373, 96]}, {\"cell\": \"3% (0-7%)\", \"bbox\": [396, 86, 430, 96]}, {\"cell\": \"p = 0.06\", \"bbox\": [457, 86, 484, 96]}, {\"cell\": \"Clinical presentation: Speech disturbance\", \"bbox\": [1, 100, 134, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 100, 163, 110]}, {\"cell\": \"1\", \"bbox\": [186, 100, 192, 110]}, {\"cell\": \"6% (0-17%)\", \"bbox\": [215, 100, 253, 110]}, {\"cell\": \"3\", \"bbox\": [277, 100, 282, 110]}, {\"cell\": \"18% (0-37%)\", \"bbox\": [306, 100, 347, 110]}, {\"cell\": \"3\", \"bbox\": [367, 100, 373, 110]}, {\"cell\": \"18% (0-37%)\", \"bbox\": [396, 100, 438, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Clinical presentation: Focal weakness\", \"bbox\": [1, 114, 120, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 114, 167, 124]}, {\"cell\": \"9\", \"bbox\": [186, 114, 192, 124]}, {\"cell\": \"6% (2-10%)\", \"bbox\": [215, 114, 253, 124]}, {\"cell\": \"13\", \"bbox\": [277, 114, 286, 124]}, {\"cell\": \"9% (4-13%)\", \"bbox\": [306, 114, 344, 124]}, {\"cell\": \"20\", \"bbox\": [367, 114, 376, 124]}, {\"cell\": \"14% (8-20%)\", \"bbox\": [396, 114, 438, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Duration <10 min*\", \"bbox\": [1, 128, 63, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 128, 163, 138]}, {\"cell\": \"2\", \"bbox\": [186, 128, 192, 138]}, {\"cell\": \"3% (0-8%)\", \"bbox\": [215, 128, 249, 138]}, {\"cell\": \"2\", \"bbox\": [277, 128, 282, 138]}, {\"cell\": \"3% (0-8%)\", \"bbox\": [306, 128, 340, 138]}, {\"cell\": \"4\", \"bbox\": [367, 128, 373, 138]}, {\"cell\": \"7% (0-14%)\", \"bbox\": [396, 128, 434, 138]}, {\"cell\": \"p = 0.45\", \"bbox\": [457, 128, 484, 138]}, {\"cell\": \"Duration 10-59 min*\", \"bbox\": [1, 142, 68, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 142, 163, 152]}, {\"cell\": \"2\", \"bbox\": [186, 142, 192, 152]}, {\"cell\": \"6% (0-13%)\", \"bbox\": [215, 142, 253, 152]}, {\"cell\": \"5\", \"bbox\": [277, 142, 282, 152]}, {\"cell\": \"14% (3-25%)\", \"bbox\": [306, 142, 347, 152]}, {\"cell\": \"5\", \"bbox\": [367, 142, 373, 152]}, {\"cell\": \"14% (3-25%)\", \"bbox\": [396, 142, 438, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Duration ≥60 min*\", \"bbox\": [1, 156, 63, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 156, 167, 166]}, {\"cell\": \"8\", \"bbox\": [186, 156, 192, 166]}, {\"cell\": \"6% (2-10%)\", \"bbox\": [215, 156, 253, 166]}, {\"cell\": \"11\", \"bbox\": [277, 156, 286, 166]}, {\"cell\": \"9% (4-13%)\", \"bbox\": [306, 156, 344, 166]}, {\"cell\": \"16\", \"bbox\": [367, 156, 376, 166]}, {\"cell\": \"13% (7-18%)\", \"bbox\": [396, 156, 438, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diabetes: Absent\", \"bbox\": [1, 170, 56, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 170, 167, 180]}, {\"cell\": \"9\", \"bbox\": [186, 170, 192, 180]}, {\"cell\": \"5% (2-9%)\", \"bbox\": [215, 170, 249, 180]}, {\"cell\": \"13\", \"bbox\": [277, 170, 286, 180]}, {\"cell\": \"8% (4-12%)\", \"bbox\": [306, 170, 344, 180]}, {\"cell\": \"18\", \"bbox\": [367, 170, 376, 180]}, {\"cell\": \"11% (6-16%)\", \"bbox\": [396, 170, 438, 180]}, {\"cell\": \"p = 0.91\", \"bbox\": [457, 170, 484, 180]}, {\"cell\": \"Diabetes: Present\", \"bbox\": [1, 184, 57, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 184, 163, 194]}, {\"cell\": \"3\", \"bbox\": [186, 184, 192, 194]}, {\"cell\": \"5% (0-10%)\", \"bbox\": [215, 184, 253, 194]}, {\"cell\": \"5\", \"bbox\": [277, 184, 282, 194]}, {\"cell\": \"8% (1-15%)\", \"bbox\": [306, 184, 344, 194]}, {\"cell\": \"7\", \"bbox\": [367, 184, 373, 194]}, {\"cell\": \"12% (3-20%)\", \"bbox\": [396, 184, 438, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dual events: Absent\", \"bbox\": [1, 198, 66, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 198, 167, 208]}, {\"cell\": \"10\", \"bbox\": [186, 198, 196, 208]}, {\"cell\": \"5% (2-9%)\", \"bbox\": [215, 198, 249, 208]}, {\"cell\": \"14\", \"bbox\": [277, 198, 286, 208]}, {\"cell\": \"8% (4-12%)\", \"bbox\": [306, 198, 344, 208]}, {\"cell\": \"19\", \"bbox\": [367, 198, 376, 208]}, {\"cell\": \"11% (6-15%)\", \"bbox\": [396, 198, 438, 208]}, {\"cell\": \"p = 0.61\", \"bbox\": [457, 198, 484, 208]}, {\"cell\": \"Dual events: Present\", \"bbox\": [1, 212, 68, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 212, 163, 222]}, {\"cell\": \"2\", \"bbox\": [186, 212, 192, 222]}, {\"cell\": \"4% (0-10%)\", \"bbox\": [215, 212, 253, 222]}, {\"cell\": \"4\", \"bbox\": [277, 212, 282, 222]}, {\"cell\": \"9% (0-17%)\", \"bbox\": [306, 212, 344, 222]}, {\"cell\": \"6\", \"bbox\": [367, 212, 373, 222]}, {\"cell\": \"14% (3-25%)\", \"bbox\": [396, 212, 438, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4256835_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}514{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Primer & Probe</b></td><td><b>Sequence</b></td><td><b>Concentration</b></td><td><b>Orientation<sup>a</sup></b></td><td><b>Position<sup>b</sup></b></td><td><b>Tm (°C)</b></td></tr></thead><tbody><tr><td><b>Flavi all S</b></td><td>TACAACATgATggggAARAgAgARAA</td><td>10 pmol</td><td>[EMPTY_CELL]</td><td>8993–9019</td><td>54.7</td></tr><tr><td><b>DEN4 F</b></td><td>TACAACATgATgggRAAACgTgAGAA</td><td>10 pmol</td><td>[EMPTY_CELL]</td><td>8996–9019</td><td>60.18</td></tr><tr><td><b>Flavi all AS 1</b></td><td>gTCCCANCCDgCKgTRTC</td><td>10 pmol</td><td>[EMPTY_CELL]</td><td>9236–9253</td><td>52.5</td></tr><tr><td>[EMPTY_CELL]</td><td>gTCCCATCCAgCKgTRTCATC</td><td>5 pmol</td><td>[EMPTY_CELL]</td><td>9236–9256</td><td>57.1</td></tr><tr><td><b>Flavi all AS 2</b></td><td>gTgTCCCAgCCNgCKgTgTCATCWgC</td><td>10 pmol</td><td>[EMPTY_CELL]</td><td>9232–9260</td><td>69.6</td></tr><tr><td><b>Flavi all probe 1</b></td><td>FAM-AARggHAgYMgNgCCA <b>+ T</b>H <b>+ T + g + g + T</b>-BBQ</td><td>5 pmol</td><td>[EMPTY_CELL]</td><td>9044–9065</td><td>69–83</td></tr><tr><td><b>Flavi all probe 2</b></td><td>FAM-Tg <b>+ g</b>TWYATgTggYTNg <b>+ g</b>RgC--BBQ</td><td>5 pmol</td><td>[EMPTY_CELL]</td><td>9062–9082</td><td>62–75</td></tr><tr><td><b>Flavi all probe 3 mix</b></td><td>FAM-Tg <b>+ g</b>TWYATgT <b>+ g</b>gYTNg <b>+ g</b>RgC—BBQ<sup>c</sup></td><td>5 pmol</td><td>[EMPTY_CELL]</td><td>9062–9082</td><td>66-79</td></tr><tr><td>[EMPTY_CELL]</td><td>FAM-CCgTgCCATATggTATATgTggCTgggAgC-BBQ<sup>d</sup></td><td>0.5 pmol</td><td>[EMPTY_CELL]</td><td>9052–9081</td><td>74.7</td></tr><tr><td>[EMPTY_CELL]</td><td>FAM-TTTCTggAATTTgAAgCCCTgggTTT-BBQ<sup>e</sup></td><td>0.5 pmol</td><td>[EMPTY_CELL]</td><td>9086–9012</td><td>68</td></tr><tr><td><b>Flavi all S2</b></td><td>TACAACATgATgggMAAACgYgARAA</td><td>10 pmol</td><td>[EMPTY_CELL]</td><td>8996–9019</td><td>58.2</td></tr><tr><td><b>Flavi all AS4</b></td><td>gTgTCCCAGCCNgCKgTRTCRTC</td><td>10 pmol</td><td>[EMPTY_CELL]</td><td>9235–9260</td><td>64.1</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Primer & Probe</b>\", \"bbox\": [1, 4, 56, 13]}, {\"cell\": \"<b>Sequence</b>\", \"bbox\": [89, 4, 125, 13]}, {\"cell\": \"<b>Concentration</b>\", \"bbox\": [279, 4, 330, 13]}, {\"cell\": \"<b>Orientation<sup>a</sup></b>\", \"bbox\": [345, 2, 389, 13]}, {\"cell\": \"<b>Position<sup>b</sup></b>\", \"bbox\": [407, 2, 440, 13]}, {\"cell\": \"<b>Tm (°C)</b>\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"<b>Flavi all S</b>\", \"bbox\": [1, 17, 35, 26]}, {\"cell\": \"TACAACATgATggggAARAgAgARAA\", \"bbox\": [89, 17, 205, 26]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 17, 318, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 17, 370, 26]}, {\"cell\": \"8993–9019\", \"bbox\": [405, 17, 442, 26]}, {\"cell\": \"54.7\", \"bbox\": [463, 17, 478, 26]}, {\"cell\": \"<b>DEN4 F</b>\", \"bbox\": [1, 31, 28, 40]}, {\"cell\": \"TACAACATgATgggRAAACgTgAGAA\", \"bbox\": [89, 31, 205, 40]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 31, 318, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 31, 370, 40]}, {\"cell\": \"8996–9019\", \"bbox\": [405, 31, 442, 40]}, {\"cell\": \"60.18\", \"bbox\": [461, 31, 480, 40]}, {\"cell\": \"<b>Flavi all AS 1</b>\", \"bbox\": [1, 44, 47, 54]}, {\"cell\": \"gTCCCANCCDgCKgTRTC\", \"bbox\": [89, 44, 169, 54]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 44, 318, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 44, 372, 54]}, {\"cell\": \"9236–9253\", \"bbox\": [405, 44, 442, 54]}, {\"cell\": \"52.5\", \"bbox\": [463, 44, 478, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"gTCCCATCCAgCKgTRTCATC\", \"bbox\": [89, 58, 180, 68]}, {\"cell\": \"5 pmol\", \"bbox\": [292, 58, 316, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 58, 372, 68]}, {\"cell\": \"9236–9256\", \"bbox\": [405, 58, 442, 68]}, {\"cell\": \"57.1\", \"bbox\": [463, 58, 478, 68]}, {\"cell\": \"<b>Flavi all AS 2</b>\", \"bbox\": [1, 72, 47, 82]}, {\"cell\": \"gTgTCCCAgCCNgCKgTgTCATCWgC\", \"bbox\": [89, 72, 205, 82]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 72, 318, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [362, 72, 372, 82]}, {\"cell\": \"9232–9260\", \"bbox\": [405, 72, 442, 82]}, {\"cell\": \"69.6\", \"bbox\": [463, 72, 478, 82]}, {\"cell\": \"<b>Flavi all probe 1</b>\", \"bbox\": [1, 85, 59, 95]}, {\"cell\": \"FAM-AARggHAgYMgNgCCA <b>+ T</b>H <b>+ T + g + g + T</b>-BBQ\", \"bbox\": [89, 85, 263, 95]}, {\"cell\": \"5 pmol\", \"bbox\": [292, 85, 316, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 85, 370, 95]}, {\"cell\": \"9044–9065\", \"bbox\": [405, 85, 442, 95]}, {\"cell\": \"69–83\", \"bbox\": [460, 85, 481, 95]}, {\"cell\": \"<b>Flavi all probe 2</b>\", \"bbox\": [1, 99, 59, 108]}, {\"cell\": \"FAM-Tg <b>+ g</b>TWYATgTggYTNg <b>+ g</b>RgC--BBQ\", \"bbox\": [89, 99, 227, 108]}, {\"cell\": \"5 pmol\", \"bbox\": [292, 99, 316, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 99, 370, 108]}, {\"cell\": \"9062–9082\", \"bbox\": [405, 99, 442, 108]}, {\"cell\": \"62–75\", \"bbox\": [460, 99, 481, 108]}, {\"cell\": \"<b>Flavi all probe 3 mix</b>\", \"bbox\": [1, 112, 74, 121]}, {\"cell\": \"FAM-Tg <b>+ g</b>TWYATgT <b>+ g</b>gYTNg <b>+ g</b>RgC—BBQ<sup>c</sup>\", \"bbox\": [89, 110, 242, 121]}, {\"cell\": \"5 pmol\", \"bbox\": [292, 112, 316, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 112, 370, 121]}, {\"cell\": \"9062–9082\", \"bbox\": [405, 112, 442, 121]}, {\"cell\": \"66-79\", \"bbox\": [461, 112, 481, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FAM-CCgTgCCATATggTATATgTggCTgggAgC-BBQ<sup>d</sup>\", \"bbox\": [89, 124, 254, 135]}, {\"cell\": \"0.5 pmol\", \"bbox\": [289, 126, 319, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 126, 370, 135]}, {\"cell\": \"9052–9081\", \"bbox\": [405, 126, 442, 135]}, {\"cell\": \"74.7\", \"bbox\": [463, 126, 478, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"FAM-TTTCTggAATTTgAAgCCCTgggTTT-BBQ<sup>e</sup>\", \"bbox\": [89, 138, 233, 149]}, {\"cell\": \"0.5 pmol\", \"bbox\": [289, 140, 319, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 140, 370, 149]}, {\"cell\": \"9086–9012\", \"bbox\": [405, 140, 442, 149]}, {\"cell\": \"68\", \"bbox\": [466, 140, 476, 149]}, {\"cell\": \"<b>Flavi all S2</b>\", \"bbox\": [1, 153, 40, 162]}, {\"cell\": \"TACAACATgATgggMAAACgYgARAA\", \"bbox\": [89, 153, 207, 162]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 153, 318, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 153, 370, 162]}, {\"cell\": \"8996–9019\", \"bbox\": [405, 153, 442, 162]}, {\"cell\": \"58.2\", \"bbox\": [463, 153, 478, 162]}, {\"cell\": \"<b>Flavi all AS4</b>\", \"bbox\": [1, 166, 45, 175]}, {\"cell\": \"gTgTCCCAGCCNgCKgTRTCRTC\", \"bbox\": [89, 166, 189, 175]}, {\"cell\": \"10 pmol\", \"bbox\": [290, 166, 318, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 166, 370, 175]}, {\"cell\": \"9235–9260\", \"bbox\": [405, 166, 442, 175]}, {\"cell\": \"64.1\", \"bbox\": [463, 166, 478, 175]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3616844_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}515{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>All Registry Births ≥ 1500 g</b></td><td colspan=\\\"4\\\"><b>Registry Births ≥ 1500 g in HBB Trained Facilities</b></td></tr><tr><td><b>Pre n/N (Rate/1000)</b></td><td><b>Post n/N (Rate/1000)</b></td><td><b>Estimates<sup>a</sup> of Pre-Post Differences in Mortality Rates (95 % CI)</b></td><td><b>P</b></td><td><b>Pre n/N (Rate/1000)</b></td><td><b>Post n/N (Rate/1000)</b></td><td><b>Estimates<sup>a</sup> of Pre-Post Differences in Mortality Rates (95 % CI)</b></td><td><b>P</b></td></tr></thead><tbody><tr><td colspan=\\\"9\\\">Total</td></tr><tr><td> Perinatal deaths</td><td>848/35,539 (23.9)</td><td>802/35,076 (22.9)</td><td>−0.14 (−3.15, 2.86)</td><td>0.92</td><td>386/15,205 (25.4)</td><td>374/15,974 (23.4)</td><td>2.34 (−3.11, 7.80)</td><td>[EMPTY_CELL]</td></tr><tr><td> Fresh stillbirths</td><td>393/35,595 (11.0)</td><td>330/35,109 (9.4)</td><td>1.38 (−0.61, 3.37)</td><td>0.17</td><td>191/15,232 (12.5)</td><td>152/15,985 (9.5)</td><td>3.75 (−0.21, 7.70)</td><td>[EMPTY_CELL]</td></tr><tr><td> Death by day 1<sup>b</sup></td><td>660/35,539 (18.6)</td><td>620/35,076 (17.7)</td><td>−0.02 (−2.51, 2.48)</td><td>0.99</td><td>295/15,205 (19.4)</td><td>297/15,974 (18.6)</td><td>0.81 (−3.65, 5.26)</td><td>[EMPTY_CELL]</td></tr><tr><td> Early neonatal death by day 7</td><td>455/35,146 (12.9)</td><td>472/34,746 (13.6)</td><td>−1.53 (−3.79, 0.73)</td><td>0.18</td><td>195/15,014 (13.0)</td><td>222/15,822 (14.0)</td><td>−1.41 (−5.45, 2.64)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"9\\\">Kenya</td></tr><tr><td> Perinatal deaths</td><td>232/8947 (25.9)</td><td>202/8494 (23.8)</td><td>1.03 (−5.66, 7.71)</td><td>0.75</td><td>124/3223 (38.5)</td><td>98/3477 (28.2)</td><td>11.71 (0.39, 23.03)</td><td>[EMPTY_CELL]</td></tr><tr><td> Fresh stillbirths</td><td>155/8972 (17.3)</td><td>114/8510 (13.4)</td><td>2.92 (−2.21, 8.04)</td><td>0.24</td><td>83/3235 (25.7)</td><td>57/3481 (16.4)</td><td>11.27 (0.95, 21.59)</td><td>[EMPTY_CELL]</td></tr><tr><td> Death by day 1</td><td>204/8947 (22.8)</td><td>183/8494 (21.5)</td><td>0.25 (−5.69, 6.19)</td><td>0.93</td><td>108/3223 (33.5)</td><td>92/3477 (26.5)</td><td>8.09 (−2.05, 18.24)</td><td>[EMPTY_CELL]</td></tr><tr><td> Early neonatal death by day 7</td><td>77/8792 (8.8)</td><td>88/8380 (10.5)</td><td>−1.89 (−4.92, 1.14)</td><td>0.20</td><td>41/3140 (13.1)</td><td>41/3420 (12.0)</td><td>0.52 (−4.40, 5.43)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"9\\\">Nagpur, India</td></tr><tr><td> Perinatal deaths</td><td>209/9483 (22.0)</td><td>239/9768 (24.5)</td><td>−2.92 (−8.05, 2.21)</td><td>0.25</td><td>103/4038 (25.5)</td><td>130/4367 (29.8)</td><td>−4.11 (−14.05, 5.82)</td><td>[EMPTY_CELL]</td></tr><tr><td> Fresh stillbirths</td><td>88/9514 (9.2)</td><td>90/9784 (9.2)</td><td>0.08 (−2.88, 3.04)</td><td>0.95</td><td>47/4053 (11.6)</td><td>57/4373 (13.0)</td><td>−1.27 (−6.80, 4.26)</td><td>[EMPTY_CELL]</td></tr><tr><td> Death by day 1</td><td>145/9483 (15.3)</td><td>168/9768 (17.2)</td><td>−2.11 (−5.91, 1.69)</td><td>0.26</td><td>71/4038 (17.6)</td><td>102/4367 (23.4)</td><td>−5.07 (–12.57, 2.43)</td><td>[EMPTY_CELL]</td></tr><tr><td> Early neonatal death by day 7</td><td>121/9395 (12.9)</td><td>149/9678 (15.4)</td><td>−3.05 (−7.53, 1.44)</td><td>0.17</td><td>56/3991 (14.0)</td><td>73/4310 (16.9)</td><td>−2.96 (−12.79, 6.88)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"9\\\">Belgaum, India</td></tr><tr><td> Perinatal deaths</td><td>407/17,109 (23.8)</td><td>361/16,814 (21.5)</td><td>2.17 (−2.28, 6.62)</td><td>0.32</td><td>159/7944 (20.0)</td><td>146/8130 (18.0)</td><td>1.05 (−4.94, 7.04)</td><td>[EMPTY_CELL]</td></tr><tr><td> Fresh stillbirths</td><td>150/17,109 (8.8)</td><td>126/16,815 (7.5)</td><td>1.48 (−1.21, 4.17)</td><td>0.26</td><td>61/7944 (7.7)</td><td>38/8131 (4.7)</td><td>2.49 (−0.78, 5.76)</td><td>[EMPTY_CELL]</td></tr><tr><td> Death by day 1</td><td>311/17,109 (18.2)</td><td>269/16,814 (16.0)</td><td>2.33 (−1.58, 6.25)</td><td>0.22</td><td>116/7944 (14.6)</td><td>103/8130 (12.7)</td><td>0.87 (−3.88, 5.63)</td><td>[EMPTY_CELL]</td></tr><tr><td> Early neonatal death by day 7</td><td>257/16,959 (15.2)</td><td>235/16,688 (14.1)</td><td>0.73 (−3.50, 4.96)</td><td>0.72</td><td>98/7883 (12.4)</td><td>108/8092 (13.3)</td><td>−1.39 (−5.42, 2.64)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All Registry Births ≥ 1500 g</b>\", \"bbox\": [98, 4, 176, 13]}, {\"cell\": \"<b>Registry Births ≥ 1500 g in HBB Trained Facilities</b>\", \"bbox\": [296, 4, 433, 13]}, {\"cell\": \"<b>Pre n/N (Rate/1000)</b>\", \"bbox\": [98, 17, 132, 34]}, {\"cell\": \"<b>Post n/N (Rate/1000)</b>\", \"bbox\": [152, 17, 186, 34]}, {\"cell\": \"<b>Estimates<sup>a</sup> of Pre-Post Differences in Mortality Rates (95 % CI)</b>\", \"bbox\": [206, 16, 273, 43]}, {\"cell\": \"<b>P</b>\", \"bbox\": [278, 17, 284, 26]}, {\"cell\": \"<b>Pre n/N (Rate/1000)</b>\", \"bbox\": [296, 17, 329, 34]}, {\"cell\": \"<b>Post n/N (Rate/1000)</b>\", \"bbox\": [350, 17, 383, 34]}, {\"cell\": \"<b>Estimates<sup>a</sup> of Pre-Post Differences in Mortality Rates (95 % CI)</b>\", \"bbox\": [404, 16, 467, 43]}, {\"cell\": \"<b>P</b>\", \"bbox\": [471, 17, 477, 26]}, {\"cell\": \"Total\", \"bbox\": [1, 47, 16, 56]}, {\"cell\": \" Perinatal deaths\", \"bbox\": [8, 61, 54, 70]}, {\"cell\": \"848/35,539 (23.9)\", \"bbox\": [98, 61, 148, 70]}, {\"cell\": \"802/35,076 (22.9)\", \"bbox\": [152, 61, 202, 70]}, {\"cell\": \"−0.14 (−3.15, 2.86)\", \"bbox\": [206, 61, 259, 70]}, {\"cell\": \"0.92\", \"bbox\": [278, 61, 291, 70]}, {\"cell\": \"386/15,205 (25.4)\", \"bbox\": [296, 61, 345, 70]}, {\"cell\": \"374/15,974 (23.4)\", \"bbox\": [350, 61, 399, 70]}, {\"cell\": \"2.34 (−3.11, 7.80)\", \"bbox\": [404, 61, 453, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 61, 484, 70]}, {\"cell\": \" Fresh stillbirths\", \"bbox\": [8, 75, 51, 83]}, {\"cell\": \"393/35,595 (11.0)\", \"bbox\": [98, 75, 148, 83]}, {\"cell\": \"330/35,109 (9.4)\", \"bbox\": [152, 75, 194, 83]}, {\"cell\": \"1.38 (−0.61, 3.37)\", \"bbox\": [206, 75, 255, 83]}, {\"cell\": \"0.17\", \"bbox\": [278, 75, 291, 83]}, {\"cell\": \"191/15,232 (12.5)\", \"bbox\": [296, 75, 345, 83]}, {\"cell\": \"152/15,985 (9.5)\", \"bbox\": [350, 75, 396, 83]}, {\"cell\": \"3.75 (−0.21, 7.70)\", \"bbox\": [404, 75, 453, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 75, 484, 83]}, {\"cell\": \" Death by day 1<sup>b</sup>\", \"bbox\": [8, 87, 56, 97]}, {\"cell\": \"660/35,539 (18.6)\", \"bbox\": [98, 88, 148, 97]}, {\"cell\": \"620/35,076 (17.7)\", \"bbox\": [152, 88, 202, 97]}, {\"cell\": \"−0.02 (−2.51, 2.48)\", \"bbox\": [206, 88, 259, 97]}, {\"cell\": \"0.99\", \"bbox\": [278, 88, 291, 97]}, {\"cell\": \"295/15,205 (19.4)\", \"bbox\": [296, 88, 345, 97]}, {\"cell\": \"297/15,974 (18.6)\", \"bbox\": [350, 88, 399, 97]}, {\"cell\": \"0.81 (−3.65, 5.26)\", \"bbox\": [404, 88, 453, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 88, 484, 97]}, {\"cell\": \" Early neonatal death by day 7\", \"bbox\": [8, 102, 94, 111]}, {\"cell\": \"455/35,146 (12.9)\", \"bbox\": [98, 102, 148, 111]}, {\"cell\": \"472/34,746 (13.6)\", \"bbox\": [152, 102, 202, 111]}, {\"cell\": \"−1.53 (−3.79, 0.73)\", \"bbox\": [206, 102, 259, 111]}, {\"cell\": \"0.18\", \"bbox\": [278, 102, 291, 111]}, {\"cell\": \"195/15,014 (13.0)\", \"bbox\": [296, 102, 345, 111]}, {\"cell\": \"222/15,822 (14.0)\", \"bbox\": [350, 102, 399, 111]}, {\"cell\": \"−1.41 (−5.45, 2.64)\", \"bbox\": [404, 102, 457, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 102, 484, 111]}, {\"cell\": \"Kenya\", \"bbox\": [1, 116, 19, 124]}, {\"cell\": \" Perinatal deaths\", \"bbox\": [8, 130, 54, 138]}, {\"cell\": \"232/8947 (25.9)\", \"bbox\": [98, 130, 143, 138]}, {\"cell\": \"202/8494 (23.8)\", \"bbox\": [152, 130, 197, 138]}, {\"cell\": \"1.03 (−5.66, 7.71)\", \"bbox\": [206, 130, 255, 138]}, {\"cell\": \"0.75\", \"bbox\": [278, 130, 291, 138]}, {\"cell\": \"124/3223 (38.5)\", \"bbox\": [296, 130, 341, 138]}, {\"cell\": \"98/3477 (28.2)\", \"bbox\": [350, 130, 391, 138]}, {\"cell\": \"11.71 (0.39, 23.03)\", \"bbox\": [404, 130, 455, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 130, 484, 138]}, {\"cell\": \" Fresh stillbirths\", \"bbox\": [8, 143, 51, 152]}, {\"cell\": \"155/8972 (17.3)\", \"bbox\": [98, 143, 143, 152]}, {\"cell\": \"114/8510 (13.4)\", \"bbox\": [152, 143, 197, 152]}, {\"cell\": \"2.92 (−2.21, 8.04)\", \"bbox\": [206, 143, 255, 152]}, {\"cell\": \"0.24\", \"bbox\": [278, 143, 291, 152]}, {\"cell\": \"83/3235 (25.7)\", \"bbox\": [296, 143, 337, 152]}, {\"cell\": \"57/3481 (16.4)\", \"bbox\": [350, 143, 391, 152]}, {\"cell\": \"11.27 (0.95, 21.59)\", \"bbox\": [404, 143, 455, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 143, 484, 152]}, {\"cell\": \" Death by day 1\", \"bbox\": [8, 157, 53, 166]}, {\"cell\": \"204/8947 (22.8)\", \"bbox\": [98, 157, 143, 166]}, {\"cell\": \"183/8494 (21.5)\", \"bbox\": [152, 157, 197, 166]}, {\"cell\": \"0.25 (−5.69, 6.19)\", \"bbox\": [206, 157, 255, 166]}, {\"cell\": \"0.93\", \"bbox\": [278, 157, 291, 166]}, {\"cell\": \"108/3223 (33.5)\", \"bbox\": [296, 157, 341, 166]}, {\"cell\": \"92/3477 (26.5)\", \"bbox\": [350, 157, 391, 166]}, {\"cell\": \"8.09 (−2.05, 18.24)\", \"bbox\": [404, 157, 456, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 157, 484, 166]}, {\"cell\": \" Early neonatal death by day 7\", \"bbox\": [8, 171, 94, 179]}, {\"cell\": \"77/8792 (8.8)\", \"bbox\": [98, 171, 136, 179]}, {\"cell\": \"88/8380 (10.5)\", \"bbox\": [152, 171, 194, 179]}, {\"cell\": \"−1.89 (−4.92, 1.14)\", \"bbox\": [206, 171, 259, 179]}, {\"cell\": \"0.20\", \"bbox\": [278, 171, 291, 179]}, {\"cell\": \"41/3140 (13.1)\", \"bbox\": [296, 171, 337, 179]}, {\"cell\": \"41/3420 (12.0)\", \"bbox\": [350, 171, 391, 179]}, {\"cell\": \"0.52 (−4.40, 5.43)\", \"bbox\": [404, 171, 453, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 171, 484, 179]}, {\"cell\": \"Nagpur, India\", \"bbox\": [1, 184, 40, 193]}, {\"cell\": \" Perinatal deaths\", \"bbox\": [8, 198, 54, 207]}, {\"cell\": \"209/9483 (22.0)\", \"bbox\": [98, 198, 143, 207]}, {\"cell\": \"239/9768 (24.5)\", \"bbox\": [152, 198, 197, 207]}, {\"cell\": \"−2.92 (−8.05, 2.21)\", \"bbox\": [206, 198, 259, 207]}, {\"cell\": \"0.25\", \"bbox\": [278, 198, 291, 207]}, {\"cell\": \"103/4038 (25.5)\", \"bbox\": [296, 198, 341, 207]}, {\"cell\": \"130/4367 (29.8)\", \"bbox\": [350, 198, 395, 207]}, {\"cell\": \"−4.11 (−14.05, 5.82)\", \"bbox\": [404, 198, 460, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 198, 484, 207]}, {\"cell\": \" Fresh stillbirths\", \"bbox\": [8, 212, 51, 220]}, {\"cell\": \"88/9514 (9.2)\", \"bbox\": [98, 212, 136, 220]}, {\"cell\": \"90/9784 (9.2)\", \"bbox\": [152, 212, 190, 220]}, {\"cell\": \"0.08 (−2.88, 3.04)\", \"bbox\": [206, 212, 255, 220]}, {\"cell\": \"0.95\", \"bbox\": [278, 212, 291, 220]}, {\"cell\": \"47/4053 (11.6)\", \"bbox\": [296, 212, 337, 220]}, {\"cell\": \"57/4373 (13.0)\", \"bbox\": [350, 212, 391, 220]}, {\"cell\": \"−1.27 (−6.80, 4.26)\", \"bbox\": [404, 212, 457, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 212, 484, 220]}, {\"cell\": \" Death by day 1\", \"bbox\": [8, 226, 53, 234]}, {\"cell\": \"145/9483 (15.3)\", \"bbox\": [98, 226, 143, 234]}, {\"cell\": \"168/9768 (17.2)\", \"bbox\": [152, 226, 197, 234]}, {\"cell\": \"−2.11 (−5.91, 1.69)\", \"bbox\": [206, 226, 259, 234]}, {\"cell\": \"0.26\", \"bbox\": [278, 226, 291, 234]}, {\"cell\": \"71/4038 (17.6)\", \"bbox\": [296, 226, 337, 234]}, {\"cell\": \"102/4367 (23.4)\", \"bbox\": [350, 226, 395, 234]}, {\"cell\": \"−5.07 (–12.57, 2.43)\", \"bbox\": [404, 226, 460, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 226, 484, 234]}, {\"cell\": \" Early neonatal death by day 7\", \"bbox\": [8, 239, 94, 248]}, {\"cell\": \"121/9395 (12.9)\", \"bbox\": [98, 239, 143, 248]}, {\"cell\": \"149/9678 (15.4)\", \"bbox\": [152, 239, 197, 248]}, {\"cell\": \"−3.05 (−7.53, 1.44)\", \"bbox\": [206, 239, 259, 248]}, {\"cell\": \"0.17\", \"bbox\": [278, 239, 291, 248]}, {\"cell\": \"56/3991 (14.0)\", \"bbox\": [296, 239, 337, 248]}, {\"cell\": \"73/4310 (16.9)\", \"bbox\": [350, 239, 391, 248]}, {\"cell\": \"−2.96 (−12.79, 6.88)\", \"bbox\": [404, 239, 460, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 239, 484, 248]}, {\"cell\": \"Belgaum, India\", \"bbox\": [0, 253, 44, 261]}, {\"cell\": \" Perinatal deaths\", \"bbox\": [8, 267, 54, 275]}, {\"cell\": \"407/17,109 (23.8)\", \"bbox\": [98, 267, 148, 275]}, {\"cell\": \"361/16,814 (21.5)\", \"bbox\": [152, 267, 202, 275]}, {\"cell\": \"2.17 (−2.28, 6.62)\", \"bbox\": [206, 267, 255, 275]}, {\"cell\": \"0.32\", \"bbox\": [278, 267, 291, 275]}, {\"cell\": \"159/7944 (20.0)\", \"bbox\": [296, 267, 341, 275]}, {\"cell\": \"146/8130 (18.0)\", \"bbox\": [350, 267, 395, 275]}, {\"cell\": \"1.05 (−4.94, 7.04)\", \"bbox\": [404, 267, 453, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 267, 484, 275]}, {\"cell\": \" Fresh stillbirths\", \"bbox\": [8, 280, 51, 289]}, {\"cell\": \"150/17,109 (8.8)\", \"bbox\": [98, 280, 144, 289]}, {\"cell\": \"126/16,815 (7.5)\", \"bbox\": [152, 280, 198, 289]}, {\"cell\": \"1.48 (−1.21, 4.17)\", \"bbox\": [206, 280, 255, 289]}, {\"cell\": \"0.26\", \"bbox\": [278, 280, 291, 289]}, {\"cell\": \"61/7944 (7.7)\", \"bbox\": [296, 280, 334, 289]}, {\"cell\": \"38/8131 (4.7)\", \"bbox\": [350, 280, 388, 289]}, {\"cell\": \"2.49 (−0.78, 5.76)\", \"bbox\": [404, 280, 453, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 280, 484, 289]}, {\"cell\": \" Death by day 1\", \"bbox\": [8, 294, 53, 303]}, {\"cell\": \"311/17,109 (18.2)\", \"bbox\": [98, 294, 148, 303]}, {\"cell\": \"269/16,814 (16.0)\", \"bbox\": [152, 294, 202, 303]}, {\"cell\": \"2.33 (−1.58, 6.25)\", \"bbox\": [206, 294, 255, 303]}, {\"cell\": \"0.22\", \"bbox\": [278, 294, 291, 303]}, {\"cell\": \"116/7944 (14.6)\", \"bbox\": [296, 294, 341, 303]}, {\"cell\": \"103/8130 (12.7)\", \"bbox\": [350, 294, 395, 303]}, {\"cell\": \"0.87 (−3.88, 5.63)\", \"bbox\": [404, 294, 453, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 294, 484, 303]}, {\"cell\": \" Early neonatal death by day 7\", \"bbox\": [8, 308, 94, 316]}, {\"cell\": \"257/16,959 (15.2)\", \"bbox\": [98, 308, 148, 316]}, {\"cell\": \"235/16,688 (14.1)\", \"bbox\": [152, 308, 202, 316]}, {\"cell\": \"0.73 (−3.50, 4.96)\", \"bbox\": [206, 308, 255, 316]}, {\"cell\": \"0.72\", \"bbox\": [278, 308, 291, 316]}, {\"cell\": \"98/7883 (12.4)\", \"bbox\": [296, 308, 337, 316]}, {\"cell\": \"108/8092 (13.3)\", \"bbox\": [350, 308, 395, 316]}, {\"cell\": \"−1.39 (−5.42, 2.64)\", \"bbox\": [404, 308, 457, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [471, 308, 484, 316]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5477802_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}516{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Cell line</b></td><td><b>Subtype</b></td><td><b>TRAIL Sensitivity</b></td><td><b>ONC201 IC50 (μM)</b></td></tr></thead><tbody><tr><td>SUM159</td><td>Mesenchymal</td><td>[EMPTY_CELL]</td><td>0.032</td></tr><tr><td>HCC70</td><td>Epithelial</td><td>[EMPTY_CELL]</td><td>0.075</td></tr><tr><td>BT20</td><td>Epithelial</td><td>[EMPTY_CELL]</td><td>0.263</td></tr><tr><td>HCC1806</td><td>Epithelial</td><td>[EMPTY_CELL]</td><td>0.338</td></tr><tr><td>SUM149</td><td>Mesenchymal</td><td>[EMPTY_CELL]</td><td>0.391</td></tr><tr><td>HCC1937</td><td>Epithelial</td><td>[EMPTY_CELL]</td><td>1.760</td></tr><tr><td>MDA157</td><td>Mesenchymal</td><td>[EMPTY_CELL]</td><td>2.340</td></tr><tr><td>MDA468</td><td>Epithelial</td><td>[EMPTY_CELL]</td><td>6.270</td></tr><tr><td>MDA231</td><td>Mesenchymal</td><td>[EMPTY_CELL]</td><td>7.010</td></tr><tr><td>BT549</td><td>Mesenchymal</td><td>[EMPTY_CELL]</td><td>10.120</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Cell line</b>\", \"bbox\": [4, 6, 41, 16]}, {\"cell\": \"<b>Subtype</b>\", \"bbox\": [169, 6, 206, 16]}, {\"cell\": \"<b>TRAIL Sensitivity</b>\", \"bbox\": [272, 6, 352, 16]}, {\"cell\": \"<b>ONC201 IC50 (μM)</b>\", \"bbox\": [393, 2, 480, 17]}, {\"cell\": \"SUM159\", \"bbox\": [4, 23, 42, 34]}, {\"cell\": \"Mesenchymal\", \"bbox\": [159, 23, 217, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 23, 331, 34]}, {\"cell\": \"0.032\", \"bbox\": [424, 23, 449, 34]}, {\"cell\": \"HCC70\", \"bbox\": [4, 40, 36, 51]}, {\"cell\": \"Epithelial\", \"bbox\": [167, 40, 208, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 40, 331, 51]}, {\"cell\": \"0.075\", \"bbox\": [424, 40, 449, 51]}, {\"cell\": \"BT20\", \"bbox\": [4, 57, 28, 68]}, {\"cell\": \"Epithelial\", \"bbox\": [167, 57, 208, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 57, 331, 68]}, {\"cell\": \"0.263\", \"bbox\": [424, 57, 449, 68]}, {\"cell\": \"HCC1806\", \"bbox\": [4, 74, 46, 85]}, {\"cell\": \"Epithelial\", \"bbox\": [167, 74, 208, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 74, 331, 85]}, {\"cell\": \"0.338\", \"bbox\": [424, 74, 449, 85]}, {\"cell\": \"SUM149\", \"bbox\": [4, 91, 42, 102]}, {\"cell\": \"Mesenchymal\", \"bbox\": [159, 91, 217, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 91, 331, 102]}, {\"cell\": \"0.391\", \"bbox\": [424, 91, 449, 102]}, {\"cell\": \"HCC1937\", \"bbox\": [4, 108, 46, 119]}, {\"cell\": \"Epithelial\", \"bbox\": [167, 108, 208, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 108, 331, 119]}, {\"cell\": \"1.760\", \"bbox\": [424, 108, 449, 119]}, {\"cell\": \"MDA157\", \"bbox\": [4, 125, 44, 136]}, {\"cell\": \"Mesenchymal\", \"bbox\": [159, 125, 217, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 125, 331, 136]}, {\"cell\": \"2.340\", \"bbox\": [424, 125, 449, 136]}, {\"cell\": \"MDA468\", \"bbox\": [4, 142, 44, 153]}, {\"cell\": \"Epithelial\", \"bbox\": [167, 142, 208, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 142, 331, 153]}, {\"cell\": \"6.270\", \"bbox\": [424, 142, 449, 153]}, {\"cell\": \"MDA231\", \"bbox\": [4, 158, 44, 170]}, {\"cell\": \"Mesenchymal\", \"bbox\": [159, 158, 217, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 158, 331, 170]}, {\"cell\": \"7.010\", \"bbox\": [424, 158, 449, 170]}, {\"cell\": \"BT549\", \"bbox\": [4, 175, 33, 187]}, {\"cell\": \"Mesenchymal\", \"bbox\": [159, 175, 217, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 175, 331, 187]}, {\"cell\": \"10.120\", \"bbox\": [422, 175, 451, 187]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5400611_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}517{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Partial mole</b></td><td><b>Complete mole</b></td></tr></thead><tbody><tr><td>Development</td><td>Some fetal development but malformed</td><td>[EMPTY_CELL]</td></tr><tr><td>Villi</td><td>Some enlarged; two populations of villiBlood vessels and fetal red blood cells presentScalloped outlines with pseudoinclusions and invaginationsFocal trophoblast proliferationMinimal trophoblast atypia</td><td>[EMPTY_CELL]</td></tr><tr><td>Origin</td><td>Both maternal and paternal</td><td>[EMPTY_CELL]</td></tr><tr><td>Genetics</td><td>Triploid</td><td>[EMPTY_CELL]</td></tr><tr><td>p57 IHC stain</td><td>Positive</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [5, 5, 61, 15]}, {\"cell\": \"<b>Partial mole</b>\", \"bbox\": [84, 5, 133, 15]}, {\"cell\": \"<b>Complete mole</b>\", \"bbox\": [325, 5, 385, 15]}, {\"cell\": \"Development\", \"bbox\": [5, 19, 55, 29]}, {\"cell\": \"Some fetal development but malformed\", \"bbox\": [84, 19, 229, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 19, 500, 29]}, {\"cell\": \"Villi\", \"bbox\": [5, 33, 22, 43]}, {\"cell\": \"Some enlarged; two populations of villiBlood vessels and fetal red blood cells presentScalloped outlines with pseudoinclusions and invaginationsFocal trophoblast proliferationMinimal trophoblast atypia\", \"bbox\": [84, 33, 301, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 33, 481, 97]}, {\"cell\": \"Origin\", \"bbox\": [4, 101, 30, 111]}, {\"cell\": \"Both maternal and paternal\", \"bbox\": [84, 101, 184, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 101, 375, 111]}, {\"cell\": \"Genetics\", \"bbox\": [4, 116, 38, 126]}, {\"cell\": \"Triploid\", \"bbox\": [84, 116, 115, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 116, 407, 126]}, {\"cell\": \"p57 IHC stain\", \"bbox\": [4, 130, 57, 140]}, {\"cell\": \"Positive\", \"bbox\": [84, 130, 115, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 130, 359, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4625817_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}518{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Inclusion criteria</b></td><td><b>Exclusion criteria</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Chronic infection with HIV, Hepatitis B or Hepatitis C</td></tr><tr><td>[EMPTY_CELL]</td><td>Acute severe infection including fungal, viral, bacterial or protozoal diseases</td></tr><tr><td>[EMPTY_CELL]</td><td>Signs of liver toxicity (WHO common toxicity criteria class 2 and higher)</td></tr><tr><td>[EMPTY_CELL]</td><td>Absence of adequate liver function (total bilirubin >25 μmol/L = 1.4 mg/dL unless otherwise explained (for example, inherited, hemolysis), ALT or AST >2.5 times upper limit of normal values)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Anemia (hemoglobulin <8.0 g/dL)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Leukopenia (leukocytes <4,000/μL unless attributable to SLE: leukocytes <2,000/μL in these cases)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Thrombocytopenia (platelets <50,000/μL),</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Neutrophil counts below 1,000/μL</td></tr><tr><td>[EMPTY_CELL]</td><td>Hypogammaglobulinemia (IgG below 400 mg/dl)</td></tr><tr><td>[EMPTY_CELL]</td><td>Pregnancy or lactation</td></tr><tr><td>[EMPTY_CELL]</td><td>Major and active SLE organ involvement other than the kidney, especially CNS involvement</td></tr><tr><td>[EMPTY_CELL]</td><td>History of malignancy</td></tr><tr><td>[EMPTY_CELL]</td><td>Participation in another clinical trial within six months before screening</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Inclusion criteria</b>\", \"bbox\": [1, 4, 60, 12]}, {\"cell\": \"<b>Exclusion criteria</b>\", \"bbox\": [247, 4, 308, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 100, 27]}, {\"cell\": \"Chronic infection with HIV, Hepatitis B or Hepatitis C\", \"bbox\": [247, 17, 419, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 29, 152, 39]}, {\"cell\": \"Acute severe infection including fungal, viral, bacterial or protozoal diseases\", \"bbox\": [247, 29, 465, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 243, 95]}, {\"cell\": \"Signs of liver toxicity (WHO common toxicity criteria class 2 and higher)\", \"bbox\": [247, 50, 482, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 98, 239, 125]}, {\"cell\": \"Absence of adequate liver function (total bilirubin >25 μmol/L = 1.4 mg/dL unless otherwise explained (for example, inherited, hemolysis), ALT or AST >2.5 times upper limit of normal values)\", \"bbox\": [247, 98, 474, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 128, 152, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Anemia (hemoglobulin <8.0 g/dL)\", \"bbox\": [247, 140, 359, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 152, 243, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Leukopenia (leukocytes <4,000/μL unless attributable to SLE: leukocytes <2,000/μL in these cases)\", \"bbox\": [247, 173, 479, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 193, 223, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Thrombocytopenia (platelets <50,000/μL),\", \"bbox\": [247, 214, 382, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 226, 85, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Neutrophil counts below 1,000/μL\", \"bbox\": [247, 238, 359, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hypogammaglobulinemia (IgG below 400 mg/dl)\", \"bbox\": [247, 250, 408, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pregnancy or lactation\", \"bbox\": [247, 262, 321, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Major and active SLE organ involvement other than the kidney, especially CNS involvement\", \"bbox\": [247, 274, 454, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"History of malignancy\", \"bbox\": [247, 295, 319, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Participation in another clinical trial within six months before screening\", \"bbox\": [247, 307, 479, 317]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3132014_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}519{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b><i>Rhinella marina</i> (<i>n</i> = 44)</b></td><td><b><i>Limnodynastes peronii</i>a (<i>n</i> = 24)</b></td><td><b><i>Limnodynastes peronii</i> (<i>n</i> = 28)</b></td><td><b><i>Litoria latopalmata</i>a (<i>n</i> = 11)</b></td><td><b><i>Litoria latopalmata</i> (<i>n</i> = 10)</b></td><td><b><i>Litoria nasuta</i>a (<i>n</i> = 1)</b></td><td><b><i>Litoria nasuta</i> (<i>n</i> = 26)</b></td></tr></thead><tbody><tr><td>Mean size (SUL)</td><td>81.08</td><td>45.22</td><td>39.22</td><td>[EMPTY_CELL]</td><td>31.90</td><td>32.3</td><td>37.01</td></tr><tr><td>Mean mass (g)</td><td>88.53</td><td>8.83</td><td>5.86</td><td>[EMPTY_CELL]</td><td>2.6</td><td>2.58</td><td>4.54</td></tr><tr><td><i>Rhabdias</i> prevalence (%)</td><td>70.45</td><td>36.36</td><td>38.46</td><td>[EMPTY_CELL]</td><td>50</td><td>0</td><td>16</td></tr><tr><td>Mean # <i>Rhabdias</i></td><td>16.13</td><td>1.38</td><td>3</td><td>[EMPTY_CELL]</td><td>1.2</td><td>0</td><td>1.5</td></tr><tr><td>Max # <i>Rhabdias</i></td><td>63</td><td>3</td><td>5</td><td>[EMPTY_CELL]</td><td>2</td><td>0</td><td>3</td></tr><tr><td>Min # <i>Rhabdias</i></td><td>1</td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>0</td><td>1</td></tr><tr><td>Nematode prevalence (%)</td><td>19.05</td><td>8.33</td><td>18.52</td><td>[EMPTY_CELL]</td><td>20</td><td>0</td><td>20.83</td></tr><tr><td>Mean # nematode</td><td>4</td><td>2.5</td><td>1.2</td><td>[EMPTY_CELL]</td><td>2.5</td><td>0</td><td>3</td></tr><tr><td>Max # nematode</td><td>7</td><td>3</td><td>2</td><td>[EMPTY_CELL]</td><td>3</td><td>0</td><td>4</td></tr><tr><td>Min # nematode</td><td>2</td><td>2</td><td>1</td><td>[EMPTY_CELL]</td><td>2</td><td>0</td><td>1</td></tr><tr><td>Chytrid prevalence (%)</td><td>2.27</td><td>4.17</td><td>3.57</td><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>–</td></tr><tr><td>Mean # zoospores</td><td>2.94</td><td>0.3</td><td>60.59</td><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>–</td></tr><tr><td>Max # zoospores</td><td>6.05</td><td>0.9</td><td>73.42</td><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>–</td></tr><tr><td><i>Myxidium</i> prevalence (%)</td><td>0</td><td>0</td><td>3.57</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>5</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>Rhinella marina</i> (<i>n</i> = 44)</b>\", \"bbox\": [72, 8, 120, 25]}, {\"cell\": \"<b><i>Limnodynastes peronii</i>a (<i>n</i> = 24)</b>\", \"bbox\": [131, 8, 181, 25]}, {\"cell\": \"<b><i>Limnodynastes peronii</i> (<i>n</i> = 28)</b>\", \"bbox\": [206, 8, 253, 25]}, {\"cell\": \"<b><i>Litoria latopalmata</i>a (<i>n</i> = 11)</b>\", \"bbox\": [278, 7, 339, 25]}, {\"cell\": \"<b><i>Litoria latopalmata</i> (<i>n</i> = 10)</b>\", \"bbox\": [346, 8, 404, 25]}, {\"cell\": \"<b><i>Litoria nasuta</i>a (<i>n</i> = 1)</b>\", \"bbox\": [412, 7, 456, 25]}, {\"cell\": \"<b><i>Litoria nasuta</i> (<i>n</i> = 26)</b>\", \"bbox\": [466, 8, 508, 25]}, {\"cell\": \"Mean size (SUL)\", \"bbox\": [9, 29, 60, 37]}, {\"cell\": \"81.08\", \"bbox\": [72, 29, 91, 37]}, {\"cell\": \"45.22\", \"bbox\": [131, 29, 150, 37]}, {\"cell\": \"39.22\", \"bbox\": [206, 29, 225, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 29, 297, 37]}, {\"cell\": \"31.90\", \"bbox\": [346, 29, 365, 37]}, {\"cell\": \"32.3\", \"bbox\": [412, 29, 427, 37]}, {\"cell\": \"37.01\", \"bbox\": [466, 29, 484, 37]}, {\"cell\": \"Mean mass (g)\", \"bbox\": [9, 37, 56, 46]}, {\"cell\": \"88.53\", \"bbox\": [72, 37, 91, 46]}, {\"cell\": \"8.83\", \"bbox\": [135, 37, 150, 46]}, {\"cell\": \"5.86\", \"bbox\": [210, 37, 225, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 37, 297, 46]}, {\"cell\": \"2.6\", \"bbox\": [350, 37, 361, 46]}, {\"cell\": \"2.58\", \"bbox\": [416, 37, 431, 46]}, {\"cell\": \"4.54\", \"bbox\": [469, 37, 484, 46]}, {\"cell\": \"<i>Rhabdias</i> prevalence (%)\", \"bbox\": [9, 46, 64, 63]}, {\"cell\": \"70.45\", \"bbox\": [72, 46, 91, 54]}, {\"cell\": \"36.36\", \"bbox\": [131, 46, 150, 54]}, {\"cell\": \"38.46\", \"bbox\": [206, 46, 225, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 46, 297, 54]}, {\"cell\": \"50\", \"bbox\": [346, 46, 356, 54]}, {\"cell\": \"0\", \"bbox\": [416, 46, 421, 54]}, {\"cell\": \"16\", \"bbox\": [466, 46, 475, 54]}, {\"cell\": \"Mean # <i>Rhabdias</i>\", \"bbox\": [9, 63, 63, 71]}, {\"cell\": \"16.13\", \"bbox\": [72, 63, 91, 71]}, {\"cell\": \"1.38\", \"bbox\": [135, 63, 150, 71]}, {\"cell\": \"3\", \"bbox\": [210, 63, 215, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 63, 288, 71]}, {\"cell\": \"1.2\", \"bbox\": [350, 63, 361, 71]}, {\"cell\": \"0\", \"bbox\": [416, 63, 421, 71]}, {\"cell\": \"1.5\", \"bbox\": [469, 63, 481, 71]}, {\"cell\": \"Max # <i>Rhabdias</i>\", \"bbox\": [9, 72, 59, 80]}, {\"cell\": \"63\", \"bbox\": [72, 72, 82, 80]}, {\"cell\": \"3\", \"bbox\": [135, 72, 141, 80]}, {\"cell\": \"5\", \"bbox\": [210, 72, 215, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 72, 288, 80]}, {\"cell\": \"2\", \"bbox\": [350, 72, 356, 80]}, {\"cell\": \"0\", \"bbox\": [416, 72, 421, 80]}, {\"cell\": \"3\", \"bbox\": [469, 72, 475, 80]}, {\"cell\": \"Min # <i>Rhabdias</i>\", \"bbox\": [9, 80, 58, 89]}, {\"cell\": \"1\", \"bbox\": [76, 80, 82, 89]}, {\"cell\": \"1\", \"bbox\": [135, 80, 141, 89]}, {\"cell\": \"1\", \"bbox\": [210, 80, 215, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 80, 288, 89]}, {\"cell\": \"1\", \"bbox\": [350, 80, 356, 89]}, {\"cell\": \"0\", \"bbox\": [416, 80, 421, 89]}, {\"cell\": \"1\", \"bbox\": [469, 80, 475, 89]}, {\"cell\": \"Nematode prevalence (%)\", \"bbox\": [9, 89, 64, 106]}, {\"cell\": \"19.05\", \"bbox\": [72, 89, 91, 97]}, {\"cell\": \"8.33\", \"bbox\": [135, 89, 150, 97]}, {\"cell\": \"18.52\", \"bbox\": [206, 89, 225, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 89, 288, 97]}, {\"cell\": \"20\", \"bbox\": [346, 89, 356, 97]}, {\"cell\": \"0\", \"bbox\": [416, 89, 421, 97]}, {\"cell\": \"20.83\", \"bbox\": [466, 89, 484, 97]}, {\"cell\": \"Mean # nematode\", \"bbox\": [9, 106, 66, 114]}, {\"cell\": \"4\", \"bbox\": [76, 106, 82, 114]}, {\"cell\": \"2.5\", \"bbox\": [135, 106, 146, 114]}, {\"cell\": \"1.2\", \"bbox\": [210, 106, 221, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 106, 288, 114]}, {\"cell\": \"2.5\", \"bbox\": [350, 106, 361, 114]}, {\"cell\": \"0\", \"bbox\": [416, 106, 421, 114]}, {\"cell\": \"3\", \"bbox\": [469, 106, 475, 114]}, {\"cell\": \"Max # nematode\", \"bbox\": [9, 115, 63, 123]}, {\"cell\": \"7\", \"bbox\": [76, 115, 82, 123]}, {\"cell\": \"3\", \"bbox\": [135, 115, 141, 123]}, {\"cell\": \"2\", \"bbox\": [210, 115, 215, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 115, 288, 123]}, {\"cell\": \"3\", \"bbox\": [350, 115, 356, 123]}, {\"cell\": \"0\", \"bbox\": [416, 115, 421, 123]}, {\"cell\": \"4\", \"bbox\": [469, 115, 475, 123]}, {\"cell\": \"Min # nematode\", \"bbox\": [9, 123, 62, 131]}, {\"cell\": \"2\", \"bbox\": [76, 123, 82, 131]}, {\"cell\": \"2\", \"bbox\": [135, 123, 141, 131]}, {\"cell\": \"1\", \"bbox\": [210, 123, 215, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 123, 288, 131]}, {\"cell\": \"2\", \"bbox\": [350, 123, 356, 131]}, {\"cell\": \"0\", \"bbox\": [416, 123, 421, 131]}, {\"cell\": \"1\", \"bbox\": [469, 123, 475, 131]}, {\"cell\": \"Chytrid prevalence (%)\", \"bbox\": [9, 132, 64, 149]}, {\"cell\": \"2.27\", \"bbox\": [76, 132, 91, 140]}, {\"cell\": \"4.17\", \"bbox\": [135, 132, 150, 140]}, {\"cell\": \"3.57\", \"bbox\": [210, 132, 225, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 132, 297, 140]}, {\"cell\": \"0\", \"bbox\": [350, 132, 356, 140]}, {\"cell\": \"–\", \"bbox\": [416, 132, 421, 140]}, {\"cell\": \"–\", \"bbox\": [469, 132, 475, 140]}, {\"cell\": \"Mean # zoospores\", \"bbox\": [9, 149, 66, 157]}, {\"cell\": \"2.94\", \"bbox\": [76, 149, 91, 157]}, {\"cell\": \"0.3\", \"bbox\": [135, 149, 146, 157]}, {\"cell\": \"60.59\", \"bbox\": [206, 149, 225, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 149, 297, 157]}, {\"cell\": \"0\", \"bbox\": [350, 149, 356, 157]}, {\"cell\": \"–\", \"bbox\": [416, 149, 421, 157]}, {\"cell\": \"–\", \"bbox\": [469, 149, 475, 157]}, {\"cell\": \"Max # zoospores\", \"bbox\": [9, 157, 63, 166]}, {\"cell\": \"6.05\", \"bbox\": [76, 157, 91, 166]}, {\"cell\": \"0.9\", \"bbox\": [135, 157, 146, 166]}, {\"cell\": \"73.42\", \"bbox\": [206, 157, 225, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 157, 293, 166]}, {\"cell\": \"0\", \"bbox\": [350, 157, 356, 166]}, {\"cell\": \"–\", \"bbox\": [416, 157, 421, 166]}, {\"cell\": \"–\", \"bbox\": [469, 157, 475, 166]}, {\"cell\": \"<i>Myxidium</i> prevalence (%)\", \"bbox\": [9, 166, 64, 183]}, {\"cell\": \"0\", \"bbox\": [76, 166, 82, 174]}, {\"cell\": \"0\", \"bbox\": [135, 166, 141, 174]}, {\"cell\": \"3.57\", \"bbox\": [210, 166, 225, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 166, 288, 174]}, {\"cell\": \"0\", \"bbox\": [350, 166, 356, 174]}, {\"cell\": \"0\", \"bbox\": [416, 166, 421, 174]}, {\"cell\": \"5\", \"bbox\": [469, 166, 475, 174]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3862496_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}520{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>n</b></td><td><b>Mean</b></td><td><b>Standard deviation</b></td><td><b>Minimum</b></td><td><b>Maximum</b></td></tr></thead><tbody><tr><td>Population</td><td>268</td><td>1,848,263</td><td>1,462,705</td><td>26,347</td><td>[EMPTY_CELL]</td></tr><tr><td>Area (km<sup>2</sup>)</td><td>268</td><td>17,552</td><td>21,094</td><td>160</td><td>[EMPTY_CELL]</td></tr><tr><td>Population density (per km<sup>2</sup>)</td><td>268</td><td>346</td><td>835</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>PM<sub>10</sub>: population-weighted annual average (μg.m<sup>-3</sup>)</td><td>268</td><td>22.3</td><td>7.6</td><td>2.7</td><td>[EMPTY_CELL]</td></tr><tr><td>PM<sub>10</sub>: population-weighted 36th highest daily mean (μg.m<sup>-3</sup>)</td><td>268</td><td>37.1</td><td>13.1</td><td>3.4</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean household income (PPCS)</td><td>235</td><td>14,689</td><td>5,389</td><td>2,736</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean smoking rate (%, country level)</td><td>29</td><td>32.0</td><td>1.18</td><td>18.6</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Premature mortality rate (per 100,000, 2004–2006)</td></tr><tr><td>All-cause male</td><td>210</td><td>305.3</td><td>124.2</td><td>103.2</td><td>[EMPTY_CELL]</td></tr><tr><td>All-cause female</td><td>210</td><td>145.6</td><td>40.9</td><td>78.3</td><td>[EMPTY_CELL]</td></tr><tr><td>Circulatory disease male</td><td>210</td><td>79.6</td><td>52.7</td><td>24.2</td><td>[EMPTY_CELL]</td></tr><tr><td>Circulatory disease female</td><td>210</td><td>27.2</td><td>19.5</td><td>7.8</td><td>[EMPTY_CELL]</td></tr><tr><td>Respiratory disease male</td><td>210</td><td>11.8</td><td>7.3</td><td>2.8</td><td>[EMPTY_CELL]</td></tr><tr><td>Respiratory disease female</td><td>210</td><td>6.0</td><td>3.4</td><td>1.5</td><td>[EMPTY_CELL]</td></tr><tr><td>Chronic liver disease male</td><td>210</td><td>16.5</td><td>12.9</td><td>1.8</td><td>[EMPTY_CELL]</td></tr><tr><td>Chronic liver disease female</td><td>210</td><td>5.9</td><td>4.6</td><td>0.6</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 12]}, {\"cell\": \"<b>n</b>\", \"bbox\": [218, 4, 224, 12]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [252, 4, 273, 12]}, {\"cell\": \"<b>Standard deviation</b>\", \"bbox\": [304, 4, 372, 12]}, {\"cell\": \"<b>Minimum</b>\", \"bbox\": [392, 4, 428, 12]}, {\"cell\": \"<b>Maximum</b>\", \"bbox\": [448, 4, 484, 12]}, {\"cell\": \"Population\", \"bbox\": [1, 17, 37, 27]}, {\"cell\": \"268\", \"bbox\": [218, 17, 231, 27]}, {\"cell\": \"1,848,263\", \"bbox\": [252, 17, 283, 27]}, {\"cell\": \"1,462,705\", \"bbox\": [304, 17, 335, 27]}, {\"cell\": \"26,347\", \"bbox\": [392, 17, 415, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 17, 483, 27]}, {\"cell\": \"Area (km<sup>2</sup>)\", \"bbox\": [1, 29, 36, 41]}, {\"cell\": \"268\", \"bbox\": [218, 31, 231, 41]}, {\"cell\": \"17,552\", \"bbox\": [252, 31, 274, 41]}, {\"cell\": \"21,094\", \"bbox\": [304, 31, 326, 41]}, {\"cell\": \"160\", \"bbox\": [392, 31, 406, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 31, 474, 41]}, {\"cell\": \"Population density (per km<sup>2</sup>)\", \"bbox\": [1, 43, 94, 55]}, {\"cell\": \"268\", \"bbox\": [218, 45, 231, 55]}, {\"cell\": \"346\", \"bbox\": [252, 45, 265, 55]}, {\"cell\": \"835\", \"bbox\": [304, 45, 317, 55]}, {\"cell\": \"3\", \"bbox\": [392, 45, 398, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 45, 465, 55]}, {\"cell\": \"PM<sub>10</sub>: population-weighted annual average (μg.m<sup>-3</sup>)\", \"bbox\": [1, 57, 168, 69]}, {\"cell\": \"268\", \"bbox\": [218, 59, 231, 69]}, {\"cell\": \"22.3\", \"bbox\": [252, 59, 267, 69]}, {\"cell\": \"7.6\", \"bbox\": [304, 59, 315, 69]}, {\"cell\": \"2.7\", \"bbox\": [392, 59, 403, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 59, 463, 69]}, {\"cell\": \"PM<sub>10</sub>: population-weighted 36th highest daily mean (μg.m<sup>-3</sup>)\", \"bbox\": [1, 71, 197, 83]}, {\"cell\": \"268\", \"bbox\": [218, 73, 231, 83]}, {\"cell\": \"37.1\", \"bbox\": [252, 73, 267, 83]}, {\"cell\": \"13.1\", \"bbox\": [304, 73, 319, 83]}, {\"cell\": \"3.4\", \"bbox\": [392, 73, 403, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 73, 463, 83]}, {\"cell\": \"Mean household income (PPCS)\", \"bbox\": [1, 87, 106, 97]}, {\"cell\": \"235\", \"bbox\": [218, 87, 231, 97]}, {\"cell\": \"14,689\", \"bbox\": [252, 87, 274, 97]}, {\"cell\": \"5,389\", \"bbox\": [304, 87, 323, 97]}, {\"cell\": \"2,736\", \"bbox\": [392, 87, 411, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 87, 470, 97]}, {\"cell\": \"Mean smoking rate (%, country level)\", \"bbox\": [1, 101, 122, 111]}, {\"cell\": \"29\", \"bbox\": [218, 101, 228, 111]}, {\"cell\": \"32.0\", \"bbox\": [252, 101, 267, 111]}, {\"cell\": \"1.18\", \"bbox\": [304, 101, 319, 111]}, {\"cell\": \"18.6\", \"bbox\": [392, 101, 407, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 101, 463, 111]}, {\"cell\": \"Premature mortality rate (per 100,000, 2004–2006)\", \"bbox\": [1, 115, 163, 125]}, {\"cell\": \"All-cause male\", \"bbox\": [10, 129, 58, 139]}, {\"cell\": \"210\", \"bbox\": [218, 129, 231, 139]}, {\"cell\": \"305.3\", \"bbox\": [252, 129, 271, 139]}, {\"cell\": \"124.2\", \"bbox\": [304, 129, 323, 139]}, {\"cell\": \"103.2\", \"bbox\": [392, 129, 411, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 129, 467, 139]}, {\"cell\": \"All-cause female\", \"bbox\": [10, 143, 64, 153]}, {\"cell\": \"210\", \"bbox\": [218, 143, 231, 153]}, {\"cell\": \"145.6\", \"bbox\": [252, 143, 271, 153]}, {\"cell\": \"40.9\", \"bbox\": [304, 143, 319, 153]}, {\"cell\": \"78.3\", \"bbox\": [392, 143, 407, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 143, 467, 153]}, {\"cell\": \"Circulatory disease male\", \"bbox\": [10, 157, 89, 167]}, {\"cell\": \"210\", \"bbox\": [218, 157, 231, 167]}, {\"cell\": \"79.6\", \"bbox\": [252, 157, 267, 167]}, {\"cell\": \"52.7\", \"bbox\": [304, 157, 319, 167]}, {\"cell\": \"24.2\", \"bbox\": [392, 157, 407, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 157, 467, 167]}, {\"cell\": \"Circulatory disease female\", \"bbox\": [10, 171, 95, 181]}, {\"cell\": \"210\", \"bbox\": [218, 171, 231, 181]}, {\"cell\": \"27.2\", \"bbox\": [252, 171, 267, 181]}, {\"cell\": \"19.5\", \"bbox\": [304, 171, 319, 181]}, {\"cell\": \"7.8\", \"bbox\": [392, 171, 403, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 171, 467, 181]}, {\"cell\": \"Respiratory disease male\", \"bbox\": [10, 185, 90, 195]}, {\"cell\": \"210\", \"bbox\": [218, 185, 231, 195]}, {\"cell\": \"11.8\", \"bbox\": [252, 185, 267, 195]}, {\"cell\": \"7.3\", \"bbox\": [304, 185, 315, 195]}, {\"cell\": \"2.8\", \"bbox\": [392, 185, 403, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 185, 463, 195]}, {\"cell\": \"Respiratory disease female\", \"bbox\": [10, 199, 96, 209]}, {\"cell\": \"210\", \"bbox\": [218, 199, 231, 209]}, {\"cell\": \"6.0\", \"bbox\": [252, 199, 263, 209]}, {\"cell\": \"3.4\", \"bbox\": [304, 199, 315, 209]}, {\"cell\": \"1.5\", \"bbox\": [392, 199, 403, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 199, 463, 209]}, {\"cell\": \"Chronic liver disease male\", \"bbox\": [10, 213, 96, 223]}, {\"cell\": \"210\", \"bbox\": [218, 213, 231, 223]}, {\"cell\": \"16.5\", \"bbox\": [252, 213, 267, 223]}, {\"cell\": \"12.9\", \"bbox\": [304, 213, 319, 223]}, {\"cell\": \"1.8\", \"bbox\": [392, 213, 403, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 213, 463, 223]}, {\"cell\": \"Chronic liver disease female\", \"bbox\": [10, 227, 101, 237]}, {\"cell\": \"210\", \"bbox\": [218, 227, 231, 237]}, {\"cell\": \"5.9\", \"bbox\": [252, 227, 263, 237]}, {\"cell\": \"4.6\", \"bbox\": [304, 227, 315, 237]}, {\"cell\": \"0.6\", \"bbox\": [392, 227, 403, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 227, 463, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3720269_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}521{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Strain</b></td><td><b>Genotype</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>WLP 144</td><td><i>lrr-1(tm3543)II/mIn1[mIs14 dpy-10(e128)]II</i>; <i>ruls32[pie-1p</i>::<i>GFP</i>::<i>H2B + unc-119(+)]</i></td><td>[EMPTY_CELL]</td></tr><tr><td>WLP 267</td><td><i>cul-2(or209</i>ts<i>)III</i></td><td>[EMPTY_CELL]</td></tr><tr><td>TG1750</td><td><i>gtIs61 [pie-1p</i>::<i>GFP(lap)</i>::<i>orc-2 + unc-119(+)]. ltIs37 [(pAA64) pie-1p</i>::<i>mCherry</i>::<i>his-58 + unc-119(+)] IV.</i></td><td>[EMPTY_CELL]</td></tr><tr><td>TG1751</td><td><i>gtIs62 [pie-1p</i>::<i>GFP(lap)</i>::<i>cdc-6 + unc-119(+)]. ltIs37 [(pAA64) pie-1p</i>::<i>mCherry</i>::<i>his-58 + unc-119(+)] IV.</i></td><td>[EMPTY_CELL]</td></tr><tr><td>WLP 592</td><td><i>leals31 [cdc-7</i>::<i>TY1</i>::<i>EGFP</i>::<i>3xFLAG + unc-119(+). ltIs37 [(pAA64) pie-1p</i>::<i>mCherry</i>::<i>his-58 + unc-119(+)] IV</i></td><td>[EMPTY_CELL]</td></tr><tr><td>RB1211</td><td><i>C34G6.5(ok1267) I</i></td><td>[EMPTY_CELL]</td></tr><tr><td>WLP 223</td><td><i>cul-2(or209</i>ts<i>)III</i>; <i>C34G6.5(ok1267) I</i></td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Strain</b>\", \"bbox\": [7, 5, 29, 15]}, {\"cell\": \"<b>Genotype</b>\", \"bbox\": [202, 5, 239, 15]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [433, 5, 470, 15]}, {\"cell\": \"WLP 144\", \"bbox\": [1, 18, 34, 29]}, {\"cell\": \"<i>lrr-1(tm3543)II/mIn1[mIs14 dpy-10(e128)]II</i>; <i>ruls32[pie-1p</i>::<i>GFP</i>::<i>H2B + unc-119(+)]</i>\", \"bbox\": [91, 18, 338, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 18, 472, 29]}, {\"cell\": \"WLP 267\", \"bbox\": [1, 38, 34, 49]}, {\"cell\": \"<i>cul-2(or209</i>ts<i>)III</i>\", \"bbox\": [91, 38, 147, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 38, 473, 49]}, {\"cell\": \"TG1750\", \"bbox\": [1, 48, 31, 59]}, {\"cell\": \"<i>gtIs61 [pie-1p</i>::<i>GFP(lap)</i>::<i>orc-2 + unc-119(+)]. ltIs37 [(pAA64) pie-1p</i>::<i>mCherry</i>::<i>his-58 + unc-119(+)] IV.</i>\", \"bbox\": [91, 48, 335, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 48, 485, 59]}, {\"cell\": \"TG1751\", \"bbox\": [1, 68, 31, 78]}, {\"cell\": \"<i>gtIs62 [pie-1p</i>::<i>GFP(lap)</i>::<i>cdc-6 + unc-119(+)]. ltIs37 [(pAA64) pie-1p</i>::<i>mCherry</i>::<i>his-58 + unc-119(+)] IV.</i>\", \"bbox\": [91, 68, 336, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 68, 485, 78]}, {\"cell\": \"WLP 592\", \"bbox\": [1, 88, 34, 98]}, {\"cell\": \"<i>leals31 [cdc-7</i>::<i>TY1</i>::<i>EGFP</i>::<i>3xFLAG + unc-119(+). ltIs37 [(pAA64) pie-1p</i>::<i>mCherry</i>::<i>his-58 + unc-119(+)] IV</i>\", \"bbox\": [91, 88, 350, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 88, 445, 98]}, {\"cell\": \"RB1211\", \"bbox\": [1, 108, 30, 118]}, {\"cell\": \"<i>C34G6.5(ok1267) I</i>\", \"bbox\": [91, 108, 159, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 108, 496, 128]}, {\"cell\": \"WLP 223\", \"bbox\": [0, 128, 34, 138]}, {\"cell\": \"<i>cul-2(or209</i>ts<i>)III</i>; <i>C34G6.5(ok1267) I</i>\", \"bbox\": [91, 128, 218, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [407, 128, 445, 138]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5068962_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}522{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>At 6 months</b></td><td><b>At 12 months</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td><b>Treatment regimen</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Radiosurgery alone (n = 30)</td><td>80</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Radiosurgery + WBI (n = 28)</td><td>93</td><td>[EMPTY_CELL]</td><td>0.48</td></tr><tr><td><b>Radiosurgery dose</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><20 Gy (n = 23)</td><td>83</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>≥20 Gy (n = 35)</td><td>89</td><td>[EMPTY_CELL]</td><td>0.56</td></tr><tr><td><b>Age</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>≤59 years (n = 34)</td><td>91</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>≥60 years (n = 24)</td><td>79</td><td>[EMPTY_CELL]</td><td>0.054</td></tr><tr><td><b>ECOG performance score</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>0-1 (n = 40)</td><td>98</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2 (n = 18)</td><td>61</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Number of cerebral metastases</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>1 (n = 46)</td><td>83</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2-3 (n = 12)</td><td>100</td><td>[EMPTY_CELL]</td><td>0.67</td></tr><tr><td><b>Maximum diameter of all brain metastases</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>≤10 mm (n = 28)</td><td>89</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>≥11 mm (n = 30)</td><td>83</td><td>[EMPTY_CELL]</td><td>0.16</td></tr><tr><td><b>Site of brain metastases</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Supratentorial (n = 39)</td><td>85</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Infratentorial ± supratentorial (n = 19)</td><td>89</td><td>[EMPTY_CELL]</td><td>0.22</td></tr><tr><td><b>Extra-cranial metastases</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No (n = 24)</td><td>88</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes (n = 34)</td><td>85</td><td>[EMPTY_CELL]</td><td>0.38</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>At 6 months</b>\", \"bbox\": [104, 4, 150, 13]}, {\"cell\": \"<b>At 12 months</b>\", \"bbox\": [154, 4, 204, 13]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [208, 4, 236, 13]}, {\"cell\": \"<b>Treatment regimen</b>\", \"bbox\": [1, 17, 70, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Radiosurgery alone (n = 30)\", \"bbox\": [10, 31, 99, 41]}, {\"cell\": \"80\", \"bbox\": [104, 31, 114, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 31, 164, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Radiosurgery + WBI (n = 28)\", \"bbox\": [10, 45, 100, 55]}, {\"cell\": \"93\", \"bbox\": [104, 45, 114, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 45, 164, 55]}, {\"cell\": \"0.48\", \"bbox\": [208, 45, 223, 55]}, {\"cell\": \"<b>Radiosurgery dose</b>\", \"bbox\": [1, 59, 67, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<20 Gy (n = 23)\", \"bbox\": [10, 73, 62, 83]}, {\"cell\": \"83\", \"bbox\": [104, 73, 114, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 73, 164, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥20 Gy (n = 35)\", \"bbox\": [10, 87, 62, 97]}, {\"cell\": \"89\", \"bbox\": [104, 87, 114, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 87, 164, 97]}, {\"cell\": \"0.56\", \"bbox\": [208, 87, 223, 97]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [1, 101, 16, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤59 years (n = 34)\", \"bbox\": [10, 115, 70, 125]}, {\"cell\": \"91\", \"bbox\": [104, 115, 114, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 115, 164, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥60 years (n = 24)\", \"bbox\": [10, 129, 70, 139]}, {\"cell\": \"79\", \"bbox\": [104, 129, 114, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 129, 164, 139]}, {\"cell\": \"0.054\", \"bbox\": [208, 129, 227, 139]}, {\"cell\": \"<b>ECOG performance score</b>\", \"bbox\": [1, 143, 89, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0-1 (n = 40)\", \"bbox\": [10, 157, 48, 167]}, {\"cell\": \"98\", \"bbox\": [104, 157, 114, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 157, 164, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 (n = 18)\", \"bbox\": [10, 171, 42, 181]}, {\"cell\": \"61\", \"bbox\": [104, 171, 114, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 171, 164, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 171, 234, 181]}, {\"cell\": \"<b>Number of cerebral metastases</b>\", \"bbox\": [1, 185, 70, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1 (n = 46)\", \"bbox\": [10, 208, 42, 218]}, {\"cell\": \"83\", \"bbox\": [104, 208, 114, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 208, 164, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2-3 (n = 12)\", \"bbox\": [10, 222, 48, 232]}, {\"cell\": \"100\", \"bbox\": [104, 222, 118, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 222, 164, 232]}, {\"cell\": \"0.67\", \"bbox\": [208, 222, 223, 232]}, {\"cell\": \"<b>Maximum diameter of all brain metastases</b>\", \"bbox\": [1, 236, 90, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤10 mm (n = 28)\", \"bbox\": [10, 259, 67, 269]}, {\"cell\": \"89\", \"bbox\": [104, 259, 114, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 259, 164, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥11 mm (n = 30)\", \"bbox\": [10, 273, 67, 283]}, {\"cell\": \"83\", \"bbox\": [104, 273, 114, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 273, 164, 283]}, {\"cell\": \"0.16\", \"bbox\": [208, 273, 223, 283]}, {\"cell\": \"<b>Site of brain metastases</b>\", \"bbox\": [1, 287, 86, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Supratentorial (n = 39)\", \"bbox\": [10, 301, 83, 311]}, {\"cell\": \"85\", \"bbox\": [104, 301, 114, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 301, 164, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Infratentorial ± supratentorial (n = 19)\", \"bbox\": [1, 315, 72, 334]}, {\"cell\": \"89\", \"bbox\": [104, 315, 114, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 315, 164, 325]}, {\"cell\": \"0.22\", \"bbox\": [208, 315, 223, 325]}, {\"cell\": \"<b>Extra-cranial metastases</b>\", \"bbox\": [1, 338, 86, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No (n = 24)\", \"bbox\": [10, 352, 48, 362]}, {\"cell\": \"88\", \"bbox\": [104, 352, 114, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 352, 164, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes (n = 34)\", \"bbox\": [10, 366, 49, 376]}, {\"cell\": \"85\", \"bbox\": [104, 366, 114, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [154, 366, 164, 376]}, {\"cell\": \"0.38\", \"bbox\": [208, 366, 223, 376]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4265339_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}523{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>9 μg vs. Placebo (p-value)</b></td><td><b>4.5 μg vs. Placebo (p-value)</b></td><td><b>9 μg vs. 4.5 μg(p-value)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1.11 (< 0.001)</td><td>1.11 (< 0.001)</td><td>1.01 (0.643)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.04 (0.002)</td><td>1.04 (0.002)</td><td>1.00 (0.955)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.09 (< 0.001)</td><td>1.09 (< 0.001)</td><td>1.00 (0.984)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.07 (< 0.001)</td><td>1.07 (< 0.001)</td><td>0.99 (0.642)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.02 (0.135)</td><td>1.03 (0.026)</td><td>0.99 (0.483)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.07 (< 0.001)</td><td>1.07 (< 0.001)</td><td>1.00 (0.982)</td></tr><tr><td>[EMPTY_CELL]</td><td>15.30 (< 0.001)</td><td>12.86 (< 0.001)</td><td>2.45 (0.360)</td></tr><tr><td>[EMPTY_CELL]</td><td>13.78 (< 0.001)</td><td>10.85 (< 0.001)</td><td>2.93 (0.260)</td></tr><tr><td>[EMPTY_CELL]</td><td>-0.09 (0.038)</td><td>-0.10 (0.020)</td><td>0.01 (0.816)</td></tr><tr><td>[EMPTY_CELL]</td><td>-0.17 (0.002)</td><td>-0.18 (0.001)</td><td>0.01 (0.822)</td></tr><tr><td>[EMPTY_CELL]</td><td>-0.13 (0.013)</td><td>-0.12 (0.023)</td><td>-0.01 (0.809)</td></tr><tr><td>[EMPTY_CELL]</td><td>-0.41 (0.001)</td><td>-0.62 (0.001)</td><td>-0.25 (0.883)</td></tr><tr><td>[EMPTY_CELL]</td><td>-0.55 (< 0.001)</td><td>-0.27 (0.027)</td><td>-0.27 (0.029)</td></tr><tr><td>[EMPTY_CELL]</td><td>-4.45 (0.001)</td><td>-3.74 (0.001)</td><td>-0.71 (0.553)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>9 μg vs. Placebo (p-value)</b>\", \"bbox\": [160, 4, 252, 13]}, {\"cell\": \"<b>4.5 μg vs. Placebo (p-value)</b>\", \"bbox\": [285, 4, 383, 13]}, {\"cell\": \"<b>9 μg vs. 4.5 μg(p-value)</b>\", \"bbox\": [416, 4, 470, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 83, 36]}, {\"cell\": \"1.11 (< 0.001)\", \"bbox\": [183, 26, 229, 36]}, {\"cell\": \"1.11 (< 0.001)\", \"bbox\": [311, 26, 357, 36]}, {\"cell\": \"1.01 (0.643)\", \"bbox\": [424, 26, 462, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 54, 48]}, {\"cell\": \"1.04 (0.002)\", \"bbox\": [187, 38, 225, 48]}, {\"cell\": \"1.04 (0.002)\", \"bbox\": [315, 38, 353, 48]}, {\"cell\": \"1.00 (0.955)\", \"bbox\": [424, 38, 462, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 79, 60]}, {\"cell\": \"1.09 (< 0.001)\", \"bbox\": [183, 50, 229, 60]}, {\"cell\": \"1.09 (< 0.001)\", \"bbox\": [311, 50, 357, 60]}, {\"cell\": \"1.00 (0.984)\", \"bbox\": [424, 50, 462, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 81, 72]}, {\"cell\": \"1.07 (< 0.001)\", \"bbox\": [183, 62, 229, 72]}, {\"cell\": \"1.07 (< 0.001)\", \"bbox\": [311, 62, 357, 72]}, {\"cell\": \"0.99 (0.642)\", \"bbox\": [424, 62, 462, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 52, 83]}, {\"cell\": \"1.02 (0.135)\", \"bbox\": [187, 74, 225, 83]}, {\"cell\": \"1.03 (0.026)\", \"bbox\": [315, 74, 353, 83]}, {\"cell\": \"0.99 (0.483)\", \"bbox\": [424, 74, 462, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 77, 95]}, {\"cell\": \"1.07 (< 0.001)\", \"bbox\": [183, 86, 229, 95]}, {\"cell\": \"1.07 (< 0.001)\", \"bbox\": [311, 86, 357, 95]}, {\"cell\": \"1.00 (0.982)\", \"bbox\": [424, 86, 462, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 98, 66, 107]}, {\"cell\": \"15.30 (< 0.001)\", \"bbox\": [181, 98, 231, 107]}, {\"cell\": \"12.86 (< 0.001)\", \"bbox\": [309, 98, 359, 107]}, {\"cell\": \"2.45 (0.360)\", \"bbox\": [424, 98, 462, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 64, 119]}, {\"cell\": \"13.78 (< 0.001)\", \"bbox\": [181, 110, 231, 119]}, {\"cell\": \"10.85 (< 0.001)\", \"bbox\": [309, 110, 359, 119]}, {\"cell\": \"2.93 (0.260)\", \"bbox\": [424, 110, 462, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 109, 131]}, {\"cell\": \"-0.09 (0.038)\", \"bbox\": [186, 122, 226, 131]}, {\"cell\": \"-0.10 (0.020)\", \"bbox\": [314, 122, 354, 131]}, {\"cell\": \"0.01 (0.816)\", \"bbox\": [424, 122, 462, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 134, 83, 143]}, {\"cell\": \"-0.17 (0.002)\", \"bbox\": [186, 134, 226, 143]}, {\"cell\": \"-0.18 (0.001)\", \"bbox\": [314, 134, 354, 143]}, {\"cell\": \"0.01 (0.822)\", \"bbox\": [424, 134, 462, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 59, 155]}, {\"cell\": \"-0.13 (0.013)\", \"bbox\": [186, 146, 226, 155]}, {\"cell\": \"-0.12 (0.023)\", \"bbox\": [314, 146, 354, 155]}, {\"cell\": \"-0.01 (0.809)\", \"bbox\": [423, 146, 463, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 158, 70, 167]}, {\"cell\": \"-0.41 (0.001)\", \"bbox\": [186, 158, 226, 167]}, {\"cell\": \"-0.62 (0.001)\", \"bbox\": [314, 158, 354, 167]}, {\"cell\": \"-0.25 (0.883)\", \"bbox\": [423, 158, 463, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 170, 113, 179]}, {\"cell\": \"-0.55 (< 0.001)\", \"bbox\": [182, 170, 230, 179]}, {\"cell\": \"-0.27 (0.027)\", \"bbox\": [314, 170, 354, 179]}, {\"cell\": \"-0.27 (0.029)\", \"bbox\": [423, 170, 463, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 182, 57, 191]}, {\"cell\": \"-4.45 (0.001)\", \"bbox\": [186, 182, 226, 191]}, {\"cell\": \"-3.74 (0.001)\", \"bbox\": [314, 182, 354, 191]}, {\"cell\": \"-0.71 (0.553)\", \"bbox\": [423, 182, 463, 191]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3233513_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}524{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Smoking status</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>No</b></td><td><b>Yes</b></td></tr><tr><td><b>SNP</b></td><td><b>Adjusted OR (95% CI)*</b></td><td><b>Adjusted OR (95% CI)*</b></td></tr></thead><tbody><tr><td>rs1800925</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> CC + CT</td><td>[EMPTY_CELL]</td><td>0.98 (0.74 - 1.31)</td></tr><tr><td> TT</td><td>[EMPTY_CELL]</td><td>2.67 (0.70 - 10.17)</td></tr><tr><td colspan=\\\"3\\\"> Measures of additive interaction<sup>†</sup></td></tr><tr><td colspan=\\\"3\\\">Relative excess risk due to interaction (RERI) = 1.90 (95% CI: -1.71 - 5.52)</td></tr><tr><td colspan=\\\"3\\\">Attributable proportion due to interaction (AP) = 0.71 (95% CI: 0.25 - 1.18)</td></tr><tr><td colspan=\\\"3\\\">Synergy index (S) = -6.97 (95% CI: not calculable)</td></tr><tr><td>rs20541</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> GG + GA</td><td>[EMPTY_CELL]</td><td>0.96 (0.71 - 1.29)</td></tr><tr><td> AA</td><td>[EMPTY_CELL]</td><td>2.34 (1.10 - 4.98)</td></tr><tr><td colspan=\\\"3\\\"> Measures of additive interaction<sup>†</sup></td></tr><tr><td colspan=\\\"3\\\">Relative excess risk due to interaction (RERI) = 1.05 (95% CI: -0.82 - 2.91)</td></tr><tr><td colspan=\\\"3\\\">Attributable proportion due to interaction (AP) = 0.45 (95% CI: -0.07 - 0.96)</td></tr><tr><td colspan=\\\"3\\\">Synergy index (S) = 4.52 (95% CI: 0.25 - 83.47)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Smoking status</b>\", \"bbox\": [285, 4, 340, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No</b>\", \"bbox\": [219, 17, 231, 27]}, {\"cell\": \"<b>Yes</b>\", \"bbox\": [392, 17, 406, 27]}, {\"cell\": \"<b>SNP</b>\", \"bbox\": [1, 30, 16, 40]}, {\"cell\": \"<b>Adjusted OR (95% CI)*</b>\", \"bbox\": [140, 30, 221, 40]}, {\"cell\": \"<b>Adjusted OR (95% CI)*</b>\", \"bbox\": [314, 30, 395, 40]}, {\"cell\": \"rs1800925\", \"bbox\": [1, 44, 34, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" CC + CT\", \"bbox\": [15, 56, 45, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 56, 155, 65]}, {\"cell\": \"0.98 (0.74 - 1.31)\", \"bbox\": [314, 56, 369, 65]}, {\"cell\": \" TT\", \"bbox\": [15, 67, 25, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 67, 195, 77]}, {\"cell\": \"2.67 (0.70 - 10.17)\", \"bbox\": [314, 67, 373, 77]}, {\"cell\": \" Measures of additive interaction<sup>†</sup>\", \"bbox\": [15, 78, 123, 89]}, {\"cell\": \"Relative excess risk due to interaction (RERI) = 1.90 (95% CI: -1.71 - 5.52)\", \"bbox\": [30, 91, 265, 101]}, {\"cell\": \"Attributable proportion due to interaction (AP) = 0.71 (95% CI: 0.25 - 1.18)\", \"bbox\": [30, 103, 272, 113]}, {\"cell\": \"Synergy index (S) = -6.97 (95% CI: not calculable)\", \"bbox\": [30, 115, 191, 125]}, {\"cell\": \"rs20541\", \"bbox\": [0, 127, 27, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" GG + GA\", \"bbox\": [15, 139, 47, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 139, 155, 149]}, {\"cell\": \"0.96 (0.71 - 1.29)\", \"bbox\": [314, 139, 369, 149]}, {\"cell\": \" AA\", \"bbox\": [15, 151, 27, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 151, 195, 161]}, {\"cell\": \"2.34 (1.10 - 4.98)\", \"bbox\": [314, 151, 369, 161]}, {\"cell\": \" Measures of additive interaction<sup>†</sup>\", \"bbox\": [15, 162, 123, 173]}, {\"cell\": \"Relative excess risk due to interaction (RERI) = 1.05 (95% CI: -0.82 - 2.91)\", \"bbox\": [30, 175, 265, 185]}, {\"cell\": \"Attributable proportion due to interaction (AP) = 0.45 (95% CI: -0.07 - 0.96)\", \"bbox\": [30, 187, 274, 197]}, {\"cell\": \"Synergy index (S) = 4.52 (95% CI: 0.25 - 83.47)\", \"bbox\": [30, 199, 181, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3214177_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}525{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Without Coreference</b></td><td colspan=\\\"6\\\"><b>With Coreference</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>TP</b></td><td><b>FP</b></td><td><b>FN</b></td><td><b>P</b></td><td><b>R</b></td><td><b>F</b></td><td><b>TP</b></td><td><b>FP</b></td><td><b>FN</b></td><td><b>P</b></td><td><b>R</b></td><td><b>F</b></td></tr></thead><tbody><tr><td rowspan=\\\"6\\\">Pers. pronoun</td><td>T</td><td>34</td><td>45</td><td>89</td><td>43.0</td><td>27.6</td><td>33.7</td><td>[EMPTY_CELL]</td><td>43</td><td>68</td><td>56.1</td><td>44.7</td><td><b>49.8</b></td></tr><tr><td>Fs</td><td>2</td><td>4</td><td>44</td><td>33.3</td><td>4.4</td><td>7.7</td><td>6</td><td>[EMPTY_CELL]</td><td>40</td><td>42.9</td><td>13.0</td><td><b>20.0</b></td></tr><tr><td>F</td><td>2</td><td>4</td><td>58</td><td>33.3</td><td>3.3</td><td>6.1</td><td>6</td><td>[EMPTY_CELL]</td><td>54</td><td>37.5</td><td>10.0</td><td><b>15.8</b></td></tr><tr><td>Rs</td><td>25</td><td>22</td><td>54</td><td>53.2</td><td>31.7</td><td>39.7</td><td>44</td><td>[EMPTY_CELL]</td><td>35</td><td>64.7</td><td>55.7</td><td><b>59.9</b></td></tr><tr><td>R</td><td>5</td><td>46</td><td>74</td><td>9.8</td><td>6.3</td><td>7.7</td><td>16</td><td>[EMPTY_CELL]</td><td>63</td><td>25.8</td><td>20.3</td><td><b>22.7</b></td></tr><tr><td>S</td><td>2</td><td>48</td><td>77</td><td>4.0</td><td>2.5</td><td>3.1</td><td>5</td><td>[EMPTY_CELL]</td><td>74</td><td>8.3</td><td>6.3</td><td><b>7.2</b></td></tr><tr><td rowspan=\\\"6\\\">Poss. pronoun</td><td>T</td><td>82</td><td>74</td><td>125</td><td>52.6</td><td>39.6</td><td>45.2</td><td>[EMPTY_CELL]</td><td>74</td><td>107</td><td>57.5</td><td>48.3</td><td><b>52.5</b></td></tr><tr><td>Fs</td><td>20</td><td>12</td><td>75</td><td>62.5</td><td>21.1</td><td>31.5</td><td>23</td><td>[EMPTY_CELL]</td><td>72</td><td>71.9</td><td>24.2</td><td><b>36.2</b></td></tr><tr><td>F</td><td>13</td><td>24</td><td>116</td><td>35.1</td><td>10.1</td><td>15.7</td><td>17</td><td>[EMPTY_CELL]</td><td>112</td><td>48.6</td><td>13.2</td><td><b>20.7</b></td></tr><tr><td>Rs</td><td>76</td><td>33</td><td>74</td><td>69.7</td><td>50.7</td><td>58.7</td><td>89</td><td>[EMPTY_CELL]</td><td>61</td><td>74.2</td><td>59.3</td><td><b>65.9</b></td></tr><tr><td>R</td><td>27</td><td>81</td><td>123</td><td>25.0</td><td>18.0</td><td>20.9</td><td>34</td><td>[EMPTY_CELL]</td><td>116</td><td>30.1</td><td>22.7</td><td><b>25.9</b></td></tr><tr><td>S</td><td>13</td><td>85</td><td>137</td><td>13.3</td><td>8.7</td><td><b>10.5</b></td><td>12</td><td>[EMPTY_CELL]</td><td>138</td><td>12.1</td><td>8.0</td><td>9.6</td></tr><tr><td rowspan=\\\"6\\\">Def. NP</td><td>T</td><td>27</td><td>22</td><td>45</td><td>55.1</td><td>37.5</td><td>44.6</td><td>[EMPTY_CELL]</td><td>26</td><td>36</td><td>58.1</td><td>50.0</td><td><b>53.7</b></td></tr><tr><td>Fs</td><td>9</td><td>3</td><td>22</td><td>75.0</td><td>29.0</td><td>41.9</td><td>11</td><td>[EMPTY_CELL]</td><td>20</td><td>78.6</td><td>35.5</td><td><b>48.9</b></td></tr><tr><td>F</td><td>4</td><td>10</td><td>38</td><td>28.6</td><td>9.5</td><td>14.3</td><td>10</td><td>[EMPTY_CELL]</td><td>32</td><td>66.7</td><td>23.8</td><td><b>35.1</b></td></tr><tr><td>Rs</td><td>26</td><td>5</td><td>23</td><td>83.9</td><td>53.1</td><td>65.0</td><td>30</td><td>[EMPTY_CELL]</td><td>19</td><td>75.0</td><td>61.2</td><td><b>67.4</b></td></tr><tr><td>R</td><td>10</td><td>20</td><td>39</td><td>33.3</td><td>20.4</td><td>25.3</td><td>16</td><td>[EMPTY_CELL]</td><td>33</td><td>38.1</td><td>32.7</td><td><b>35.2</b></td></tr><tr><td>S</td><td>3</td><td>23</td><td>46</td><td>11.5</td><td>6.1</td><td>8.0</td><td>7</td><td>[EMPTY_CELL]</td><td>42</td><td>19.4</td><td>14.3</td><td><b>16.5</b></td></tr><tr><td rowspan=\\\"6\\\">ALL</td><td>T</td><td>141</td><td>140</td><td>255</td><td>50.2</td><td>35.6</td><td>41.7</td><td>[EMPTY_CELL]</td><td>143</td><td>208</td><td>56.8</td><td>47.5</td><td><b>51.7</b></td></tr><tr><td>Fs</td><td>30</td><td>18</td><td>139</td><td>62.5</td><td>17.8</td><td>27.7</td><td>39</td><td>[EMPTY_CELL]</td><td>130</td><td>67.2</td><td>23.1</td><td><b>34.4</b></td></tr><tr><td>F</td><td>18</td><td>37</td><td>209</td><td>32.7</td><td>7.9</td><td>12.8</td><td>32</td><td>[EMPTY_CELL]</td><td>195</td><td>50.0</td><td>14.1</td><td><b>22.0</b></td></tr><tr><td>Rs</td><td>126</td><td>60</td><td>147</td><td>67.7</td><td>46.2</td><td>54.9</td><td>162</td><td>[EMPTY_CELL]</td><td>111</td><td>71.4</td><td>59.3</td><td><b>64.8</b></td></tr><tr><td>R</td><td>42</td><td>146</td><td>231</td><td>22.3</td><td>15.4</td><td>18.2</td><td>65</td><td>[EMPTY_CELL]</td><td>208</td><td>30.1</td><td>23.8</td><td><b>26.6</b></td></tr><tr><td>S</td><td>18</td><td>155</td><td>255</td><td>10.4</td><td>6.6</td><td>8.1</td><td>23</td><td>[EMPTY_CELL]</td><td>250</td><td>11.9</td><td>8.4</td><td><b>9.9</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Without Coreference</b>\", \"bbox\": [154, 7, 228, 17]}, {\"cell\": \"<b>With Coreference</b>\", \"bbox\": [364, 7, 426, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>TP</b>\", \"bbox\": [97, 26, 109, 36]}, {\"cell\": \"<b>FP</b>\", \"bbox\": [130, 26, 141, 36]}, {\"cell\": \"<b>FN</b>\", \"bbox\": [163, 26, 176, 36]}, {\"cell\": \"<b>P</b>\", \"bbox\": [196, 26, 203, 36]}, {\"cell\": \"<b>R</b>\", \"bbox\": [231, 26, 239, 36]}, {\"cell\": \"<b>F</b>\", \"bbox\": [267, 26, 273, 36]}, {\"cell\": \"<b>TP</b>\", \"bbox\": [302, 26, 314, 36]}, {\"cell\": \"<b>FP</b>\", \"bbox\": [335, 26, 346, 36]}, {\"cell\": \"<b>FN</b>\", \"bbox\": [368, 26, 381, 36]}, {\"cell\": \"<b>P</b>\", \"bbox\": [401, 26, 407, 36]}, {\"cell\": \"<b>R</b>\", \"bbox\": [436, 26, 444, 36]}, {\"cell\": \"<b>F</b>\", \"bbox\": [471, 26, 477, 36]}, {\"cell\": \"Pers. pronoun\", \"bbox\": [1, 45, 50, 55]}, {\"cell\": \"T\", \"bbox\": [69, 45, 76, 55]}, {\"cell\": \"34\", \"bbox\": [102, 45, 113, 55]}, {\"cell\": \"45\", \"bbox\": [135, 45, 146, 55]}, {\"cell\": \"89\", \"bbox\": [168, 45, 179, 55]}, {\"cell\": \"43.0\", \"bbox\": [196, 45, 214, 55]}, {\"cell\": \"27.6\", \"bbox\": [231, 45, 249, 55]}, {\"cell\": \"33.7\", \"bbox\": [267, 45, 284, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 45, 317, 55]}, {\"cell\": \"43\", \"bbox\": [339, 45, 350, 55]}, {\"cell\": \"68\", \"bbox\": [372, 45, 383, 55]}, {\"cell\": \"56.1\", \"bbox\": [401, 45, 418, 55]}, {\"cell\": \"44.7\", \"bbox\": [436, 45, 453, 55]}, {\"cell\": \"<b>49.8</b>\", \"bbox\": [471, 45, 489, 53]}, {\"cell\": \"Fs\", \"bbox\": [69, 56, 78, 66]}, {\"cell\": \"2\", \"bbox\": [106, 56, 113, 66]}, {\"cell\": \"4\", \"bbox\": [139, 56, 146, 66]}, {\"cell\": \"44\", \"bbox\": [168, 56, 179, 66]}, {\"cell\": \"33.3\", \"bbox\": [196, 56, 214, 66]}, {\"cell\": \"4.4\", \"bbox\": [236, 56, 249, 66]}, {\"cell\": \"7.7\", \"bbox\": [271, 56, 284, 66]}, {\"cell\": \"6\", \"bbox\": [311, 56, 317, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 56, 350, 66]}, {\"cell\": \"40\", \"bbox\": [372, 56, 383, 66]}, {\"cell\": \"42.9\", \"bbox\": [401, 56, 418, 66]}, {\"cell\": \"13.0\", \"bbox\": [436, 56, 453, 66]}, {\"cell\": \"<b>20.0</b>\", \"bbox\": [471, 57, 489, 64]}, {\"cell\": \"F\", \"bbox\": [69, 68, 75, 78]}, {\"cell\": \"2\", \"bbox\": [106, 68, 113, 78]}, {\"cell\": \"4\", \"bbox\": [139, 68, 146, 78]}, {\"cell\": \"58\", \"bbox\": [168, 68, 179, 78]}, {\"cell\": \"33.3\", \"bbox\": [196, 68, 214, 78]}, {\"cell\": \"3.3\", \"bbox\": [236, 68, 249, 78]}, {\"cell\": \"6.1\", \"bbox\": [271, 68, 284, 78]}, {\"cell\": \"6\", \"bbox\": [311, 68, 317, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 68, 350, 78]}, {\"cell\": \"54\", \"bbox\": [372, 68, 383, 78]}, {\"cell\": \"37.5\", \"bbox\": [401, 68, 418, 78]}, {\"cell\": \"10.0\", \"bbox\": [436, 68, 453, 78]}, {\"cell\": \"<b>15.8</b>\", \"bbox\": [471, 68, 489, 76]}, {\"cell\": \"Rs\", \"bbox\": [69, 79, 80, 89]}, {\"cell\": \"25\", \"bbox\": [102, 79, 113, 89]}, {\"cell\": \"22\", \"bbox\": [135, 79, 146, 89]}, {\"cell\": \"54\", \"bbox\": [168, 79, 179, 89]}, {\"cell\": \"53.2\", \"bbox\": [196, 79, 214, 89]}, {\"cell\": \"31.7\", \"bbox\": [231, 79, 249, 89]}, {\"cell\": \"39.7\", \"bbox\": [267, 79, 284, 89]}, {\"cell\": \"44\", \"bbox\": [306, 79, 317, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 79, 350, 89]}, {\"cell\": \"35\", \"bbox\": [372, 79, 383, 89]}, {\"cell\": \"64.7\", \"bbox\": [401, 79, 418, 89]}, {\"cell\": \"55.7\", \"bbox\": [436, 79, 453, 89]}, {\"cell\": \"<b>59.9</b>\", \"bbox\": [471, 80, 489, 87]}, {\"cell\": \"R\", \"bbox\": [69, 91, 77, 101]}, {\"cell\": \"5\", \"bbox\": [106, 91, 113, 101]}, {\"cell\": \"46\", \"bbox\": [135, 91, 146, 101]}, {\"cell\": \"74\", \"bbox\": [168, 91, 179, 101]}, {\"cell\": \"9.8\", \"bbox\": [201, 91, 214, 101]}, {\"cell\": \"6.3\", \"bbox\": [236, 91, 249, 101]}, {\"cell\": \"7.7\", \"bbox\": [271, 91, 284, 101]}, {\"cell\": \"16\", \"bbox\": [306, 91, 317, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 91, 350, 101]}, {\"cell\": \"63\", \"bbox\": [372, 91, 383, 101]}, {\"cell\": \"25.8\", \"bbox\": [401, 91, 418, 101]}, {\"cell\": \"20.3\", \"bbox\": [436, 91, 453, 101]}, {\"cell\": \"<b>22.7</b>\", \"bbox\": [471, 91, 489, 99]}, {\"cell\": \"S\", \"bbox\": [69, 102, 75, 112]}, {\"cell\": \"2\", \"bbox\": [106, 102, 113, 112]}, {\"cell\": \"48\", \"bbox\": [135, 102, 146, 112]}, {\"cell\": \"77\", \"bbox\": [168, 102, 179, 112]}, {\"cell\": \"4.0\", \"bbox\": [201, 102, 214, 112]}, {\"cell\": \"2.5\", \"bbox\": [236, 102, 249, 112]}, {\"cell\": \"3.1\", \"bbox\": [271, 102, 284, 112]}, {\"cell\": \"5\", \"bbox\": [311, 102, 317, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 102, 350, 112]}, {\"cell\": \"74\", \"bbox\": [372, 102, 383, 112]}, {\"cell\": \"8.3\", \"bbox\": [405, 102, 418, 112]}, {\"cell\": \"6.3\", \"bbox\": [440, 102, 453, 112]}, {\"cell\": \"<b>7.2</b>\", \"bbox\": [475, 103, 488, 110]}, {\"cell\": \"Poss. pronoun\", \"bbox\": [1, 114, 51, 124]}, {\"cell\": \"T\", \"bbox\": [69, 114, 76, 124]}, {\"cell\": \"82\", \"bbox\": [102, 114, 113, 124]}, {\"cell\": \"74\", \"bbox\": [135, 114, 146, 124]}, {\"cell\": \"125\", \"bbox\": [163, 114, 179, 124]}, {\"cell\": \"52.6\", \"bbox\": [196, 114, 214, 124]}, {\"cell\": \"39.6\", \"bbox\": [231, 114, 249, 124]}, {\"cell\": \"45.2\", \"bbox\": [267, 114, 284, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 114, 317, 124]}, {\"cell\": \"74\", \"bbox\": [339, 114, 350, 124]}, {\"cell\": \"107\", \"bbox\": [368, 114, 383, 124]}, {\"cell\": \"57.5\", \"bbox\": [401, 114, 418, 124]}, {\"cell\": \"48.3\", \"bbox\": [436, 114, 453, 124]}, {\"cell\": \"<b>52.5</b>\", \"bbox\": [471, 114, 489, 122]}, {\"cell\": \"Fs\", \"bbox\": [69, 125, 78, 135]}, {\"cell\": \"20\", \"bbox\": [102, 125, 113, 135]}, {\"cell\": \"12\", \"bbox\": [135, 125, 146, 135]}, {\"cell\": \"75\", \"bbox\": [168, 125, 179, 135]}, {\"cell\": \"62.5\", \"bbox\": [196, 125, 214, 135]}, {\"cell\": \"21.1\", \"bbox\": [231, 125, 249, 135]}, {\"cell\": \"31.5\", \"bbox\": [267, 125, 284, 135]}, {\"cell\": \"23\", \"bbox\": [306, 125, 317, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 125, 350, 135]}, {\"cell\": \"72\", \"bbox\": [372, 125, 383, 135]}, {\"cell\": \"71.9\", \"bbox\": [401, 125, 418, 135]}, {\"cell\": \"24.2\", \"bbox\": [436, 125, 453, 135]}, {\"cell\": \"<b>36.2</b>\", \"bbox\": [471, 126, 489, 133]}, {\"cell\": \"F\", \"bbox\": [69, 137, 75, 147]}, {\"cell\": \"13\", \"bbox\": [102, 137, 113, 147]}, {\"cell\": \"24\", \"bbox\": [135, 137, 146, 147]}, {\"cell\": \"116\", \"bbox\": [163, 137, 179, 147]}, {\"cell\": \"35.1\", \"bbox\": [196, 137, 214, 147]}, {\"cell\": \"10.1\", \"bbox\": [231, 137, 249, 147]}, {\"cell\": \"15.7\", \"bbox\": [267, 137, 284, 147]}, {\"cell\": \"17\", \"bbox\": [306, 137, 317, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 137, 350, 147]}, {\"cell\": \"112\", \"bbox\": [368, 137, 383, 147]}, {\"cell\": \"48.6\", \"bbox\": [401, 137, 418, 147]}, {\"cell\": \"13.2\", \"bbox\": [436, 137, 453, 147]}, {\"cell\": \"<b>20.7</b>\", \"bbox\": [471, 137, 489, 145]}, {\"cell\": \"Rs\", \"bbox\": [69, 148, 80, 158]}, {\"cell\": \"76\", \"bbox\": [102, 148, 113, 158]}, {\"cell\": \"33\", \"bbox\": [135, 148, 146, 158]}, {\"cell\": \"74\", \"bbox\": [168, 148, 179, 158]}, {\"cell\": \"69.7\", \"bbox\": [196, 148, 214, 158]}, {\"cell\": \"50.7\", \"bbox\": [231, 148, 249, 158]}, {\"cell\": \"58.7\", \"bbox\": [267, 148, 284, 158]}, {\"cell\": \"89\", \"bbox\": [306, 148, 317, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 148, 350, 158]}, {\"cell\": \"61\", \"bbox\": [372, 148, 383, 158]}, {\"cell\": \"74.2\", \"bbox\": [401, 148, 418, 158]}, {\"cell\": \"59.3\", \"bbox\": [436, 148, 453, 158]}, {\"cell\": \"<b>65.9</b>\", \"bbox\": [471, 149, 489, 156]}, {\"cell\": \"R\", \"bbox\": [69, 160, 77, 170]}, {\"cell\": \"27\", \"bbox\": [102, 160, 113, 170]}, {\"cell\": \"81\", \"bbox\": [135, 160, 146, 170]}, {\"cell\": \"123\", \"bbox\": [163, 160, 179, 170]}, {\"cell\": \"25.0\", \"bbox\": [196, 160, 214, 170]}, {\"cell\": \"18.0\", \"bbox\": [231, 160, 249, 170]}, {\"cell\": \"20.9\", \"bbox\": [267, 160, 284, 170]}, {\"cell\": \"34\", \"bbox\": [306, 160, 317, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 160, 350, 170]}, {\"cell\": \"116\", \"bbox\": [368, 160, 383, 170]}, {\"cell\": \"30.1\", \"bbox\": [401, 160, 418, 170]}, {\"cell\": \"22.7\", \"bbox\": [436, 160, 453, 170]}, {\"cell\": \"<b>25.9</b>\", \"bbox\": [471, 160, 489, 168]}, {\"cell\": \"S\", \"bbox\": [69, 171, 75, 181]}, {\"cell\": \"13\", \"bbox\": [102, 171, 113, 181]}, {\"cell\": \"85\", \"bbox\": [135, 171, 146, 181]}, {\"cell\": \"137\", \"bbox\": [163, 171, 179, 181]}, {\"cell\": \"13.3\", \"bbox\": [196, 171, 214, 181]}, {\"cell\": \"8.7\", \"bbox\": [236, 171, 249, 181]}, {\"cell\": \"<b>10.5</b>\", \"bbox\": [267, 172, 284, 179]}, {\"cell\": \"12\", \"bbox\": [306, 171, 317, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 171, 350, 181]}, {\"cell\": \"138\", \"bbox\": [368, 171, 383, 181]}, {\"cell\": \"12.1\", \"bbox\": [401, 171, 418, 181]}, {\"cell\": \"8.0\", \"bbox\": [440, 171, 453, 181]}, {\"cell\": \"9.6\", \"bbox\": [475, 171, 488, 181]}, {\"cell\": \"Def. NP\", \"bbox\": [1, 183, 30, 193]}, {\"cell\": \"T\", \"bbox\": [69, 183, 76, 193]}, {\"cell\": \"27\", \"bbox\": [102, 183, 113, 193]}, {\"cell\": \"22\", \"bbox\": [135, 183, 146, 193]}, {\"cell\": \"45\", \"bbox\": [168, 183, 179, 193]}, {\"cell\": \"55.1\", \"bbox\": [196, 183, 214, 193]}, {\"cell\": \"37.5\", \"bbox\": [231, 183, 249, 193]}, {\"cell\": \"44.6\", \"bbox\": [267, 183, 284, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 183, 317, 193]}, {\"cell\": \"26\", \"bbox\": [339, 183, 350, 193]}, {\"cell\": \"36\", \"bbox\": [372, 183, 383, 193]}, {\"cell\": \"58.1\", \"bbox\": [401, 183, 418, 193]}, {\"cell\": \"50.0\", \"bbox\": [436, 183, 453, 193]}, {\"cell\": \"<b>53.7</b>\", \"bbox\": [471, 183, 489, 191]}, {\"cell\": \"Fs\", \"bbox\": [69, 194, 78, 204]}, {\"cell\": \"9\", \"bbox\": [106, 194, 113, 204]}, {\"cell\": \"3\", \"bbox\": [139, 194, 146, 204]}, {\"cell\": \"22\", \"bbox\": [168, 194, 179, 204]}, {\"cell\": \"75.0\", \"bbox\": [196, 194, 214, 204]}, {\"cell\": \"29.0\", \"bbox\": [231, 194, 249, 204]}, {\"cell\": \"41.9\", \"bbox\": [267, 194, 284, 204]}, {\"cell\": \"11\", \"bbox\": [306, 194, 317, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 194, 350, 204]}, {\"cell\": \"20\", \"bbox\": [372, 194, 383, 204]}, {\"cell\": \"78.6\", \"bbox\": [401, 194, 418, 204]}, {\"cell\": \"35.5\", \"bbox\": [436, 194, 453, 204]}, {\"cell\": \"<b>48.9</b>\", \"bbox\": [471, 195, 489, 202]}, {\"cell\": \"F\", \"bbox\": [69, 206, 75, 216]}, {\"cell\": \"4\", \"bbox\": [106, 206, 113, 216]}, {\"cell\": \"10\", \"bbox\": [135, 206, 146, 216]}, {\"cell\": \"38\", \"bbox\": [168, 206, 179, 216]}, {\"cell\": \"28.6\", \"bbox\": [196, 206, 214, 216]}, {\"cell\": \"9.5\", \"bbox\": [236, 206, 249, 216]}, {\"cell\": \"14.3\", \"bbox\": [267, 206, 284, 216]}, {\"cell\": \"10\", \"bbox\": [306, 206, 317, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 206, 350, 216]}, {\"cell\": \"32\", \"bbox\": [372, 206, 383, 216]}, {\"cell\": \"66.7\", \"bbox\": [401, 206, 418, 216]}, {\"cell\": \"23.8\", \"bbox\": [436, 206, 453, 216]}, {\"cell\": \"<b>35.1</b>\", \"bbox\": [471, 206, 489, 214]}, {\"cell\": \"Rs\", \"bbox\": [69, 217, 80, 227]}, {\"cell\": \"26\", \"bbox\": [102, 217, 113, 227]}, {\"cell\": \"5\", \"bbox\": [139, 217, 146, 227]}, {\"cell\": \"23\", \"bbox\": [168, 217, 179, 227]}, {\"cell\": \"83.9\", \"bbox\": [196, 217, 214, 227]}, {\"cell\": \"53.1\", \"bbox\": [231, 217, 249, 227]}, {\"cell\": \"65.0\", \"bbox\": [267, 217, 284, 227]}, {\"cell\": \"30\", \"bbox\": [306, 217, 317, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 217, 350, 227]}, {\"cell\": \"19\", \"bbox\": [372, 217, 383, 227]}, {\"cell\": \"75.0\", \"bbox\": [401, 217, 418, 227]}, {\"cell\": \"61.2\", \"bbox\": [436, 217, 453, 227]}, {\"cell\": \"<b>67.4</b>\", \"bbox\": [471, 218, 489, 225]}, {\"cell\": \"R\", \"bbox\": [69, 229, 77, 239]}, {\"cell\": \"10\", \"bbox\": [102, 229, 113, 239]}, {\"cell\": \"20\", \"bbox\": [135, 229, 146, 239]}, {\"cell\": \"39\", \"bbox\": [168, 229, 179, 239]}, {\"cell\": \"33.3\", \"bbox\": [196, 229, 214, 239]}, {\"cell\": \"20.4\", \"bbox\": [231, 229, 249, 239]}, {\"cell\": \"25.3\", \"bbox\": [267, 229, 284, 239]}, {\"cell\": \"16\", \"bbox\": [306, 229, 317, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 229, 350, 239]}, {\"cell\": \"33\", \"bbox\": [372, 229, 383, 239]}, {\"cell\": \"38.1\", \"bbox\": [401, 229, 418, 239]}, {\"cell\": \"32.7\", \"bbox\": [436, 229, 453, 239]}, {\"cell\": \"<b>35.2</b>\", \"bbox\": [471, 229, 489, 237]}, {\"cell\": \"S\", \"bbox\": [69, 240, 75, 250]}, {\"cell\": \"3\", \"bbox\": [106, 240, 113, 250]}, {\"cell\": \"23\", \"bbox\": [135, 240, 146, 250]}, {\"cell\": \"46\", \"bbox\": [168, 240, 179, 250]}, {\"cell\": \"11.5\", \"bbox\": [196, 240, 214, 250]}, {\"cell\": \"6.1\", \"bbox\": [236, 240, 249, 250]}, {\"cell\": \"8.0\", \"bbox\": [271, 240, 284, 250]}, {\"cell\": \"7\", \"bbox\": [311, 240, 317, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 240, 350, 250]}, {\"cell\": \"42\", \"bbox\": [372, 240, 383, 250]}, {\"cell\": \"19.4\", \"bbox\": [401, 240, 418, 250]}, {\"cell\": \"14.3\", \"bbox\": [436, 240, 453, 250]}, {\"cell\": \"<b>16.5</b>\", \"bbox\": [471, 241, 489, 248]}, {\"cell\": \"ALL\", \"bbox\": [1, 252, 18, 262]}, {\"cell\": \"T\", \"bbox\": [69, 252, 76, 262]}, {\"cell\": \"141\", \"bbox\": [97, 252, 113, 262]}, {\"cell\": \"140\", \"bbox\": [130, 252, 146, 262]}, {\"cell\": \"255\", \"bbox\": [163, 252, 179, 262]}, {\"cell\": \"50.2\", \"bbox\": [196, 252, 214, 262]}, {\"cell\": \"35.6\", \"bbox\": [231, 252, 249, 262]}, {\"cell\": \"41.7\", \"bbox\": [267, 252, 284, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 252, 317, 262]}, {\"cell\": \"143\", \"bbox\": [335, 252, 350, 262]}, {\"cell\": \"208\", \"bbox\": [368, 252, 383, 262]}, {\"cell\": \"56.8\", \"bbox\": [401, 252, 418, 262]}, {\"cell\": \"47.5\", \"bbox\": [436, 252, 453, 262]}, {\"cell\": \"<b>51.7</b>\", \"bbox\": [471, 252, 489, 260]}, {\"cell\": \"Fs\", \"bbox\": [69, 263, 78, 273]}, {\"cell\": \"30\", \"bbox\": [102, 263, 113, 273]}, {\"cell\": \"18\", \"bbox\": [135, 263, 146, 273]}, {\"cell\": \"139\", \"bbox\": [163, 263, 179, 273]}, {\"cell\": \"62.5\", \"bbox\": [196, 263, 214, 273]}, {\"cell\": \"17.8\", \"bbox\": [231, 263, 249, 273]}, {\"cell\": \"27.7\", \"bbox\": [267, 263, 284, 273]}, {\"cell\": \"39\", \"bbox\": [306, 263, 317, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 263, 350, 273]}, {\"cell\": \"130\", \"bbox\": [368, 263, 383, 273]}, {\"cell\": \"67.2\", \"bbox\": [401, 263, 418, 273]}, {\"cell\": \"23.1\", \"bbox\": [436, 263, 453, 273]}, {\"cell\": \"<b>34.4</b>\", \"bbox\": [471, 264, 489, 271]}, {\"cell\": \"F\", \"bbox\": [69, 275, 75, 285]}, {\"cell\": \"18\", \"bbox\": [102, 275, 113, 285]}, {\"cell\": \"37\", \"bbox\": [135, 275, 146, 285]}, {\"cell\": \"209\", \"bbox\": [163, 275, 179, 285]}, {\"cell\": \"32.7\", \"bbox\": [196, 275, 214, 285]}, {\"cell\": \"7.9\", \"bbox\": [236, 275, 249, 285]}, {\"cell\": \"12.8\", \"bbox\": [267, 275, 284, 285]}, {\"cell\": \"32\", \"bbox\": [306, 275, 317, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 275, 350, 285]}, {\"cell\": \"195\", \"bbox\": [368, 275, 383, 285]}, {\"cell\": \"50.0\", \"bbox\": [401, 275, 418, 285]}, {\"cell\": \"14.1\", \"bbox\": [436, 275, 453, 285]}, {\"cell\": \"<b>22.0</b>\", \"bbox\": [471, 275, 489, 283]}, {\"cell\": \"Rs\", \"bbox\": [69, 286, 80, 296]}, {\"cell\": \"126\", \"bbox\": [97, 286, 113, 296]}, {\"cell\": \"60\", \"bbox\": [135, 286, 146, 296]}, {\"cell\": \"147\", \"bbox\": [163, 286, 179, 296]}, {\"cell\": \"67.7\", \"bbox\": [196, 286, 214, 296]}, {\"cell\": \"46.2\", \"bbox\": [231, 286, 249, 296]}, {\"cell\": \"54.9\", \"bbox\": [267, 286, 284, 296]}, {\"cell\": \"162\", \"bbox\": [302, 286, 317, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 286, 350, 296]}, {\"cell\": \"111\", \"bbox\": [368, 286, 383, 296]}, {\"cell\": \"71.4\", \"bbox\": [401, 286, 418, 296]}, {\"cell\": \"59.3\", \"bbox\": [436, 286, 453, 296]}, {\"cell\": \"<b>64.8</b>\", \"bbox\": [471, 287, 489, 294]}, {\"cell\": \"R\", \"bbox\": [69, 298, 77, 308]}, {\"cell\": \"42\", \"bbox\": [102, 298, 113, 308]}, {\"cell\": \"146\", \"bbox\": [130, 298, 146, 308]}, {\"cell\": \"231\", \"bbox\": [163, 298, 179, 308]}, {\"cell\": \"22.3\", \"bbox\": [196, 298, 214, 308]}, {\"cell\": \"15.4\", \"bbox\": [231, 298, 249, 308]}, {\"cell\": \"18.2\", \"bbox\": [267, 298, 284, 308]}, {\"cell\": \"65\", \"bbox\": [306, 298, 317, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 298, 350, 308]}, {\"cell\": \"208\", \"bbox\": [368, 298, 383, 308]}, {\"cell\": \"30.1\", \"bbox\": [401, 298, 418, 308]}, {\"cell\": \"23.8\", \"bbox\": [436, 298, 453, 308]}, {\"cell\": \"<b>26.6</b>\", \"bbox\": [471, 298, 489, 306]}, {\"cell\": \"S\", \"bbox\": [69, 309, 75, 319]}, {\"cell\": \"18\", \"bbox\": [102, 309, 113, 319]}, {\"cell\": \"155\", \"bbox\": [130, 309, 146, 319]}, {\"cell\": \"255\", \"bbox\": [163, 309, 179, 319]}, {\"cell\": \"10.4\", \"bbox\": [196, 309, 214, 319]}, {\"cell\": \"6.6\", \"bbox\": [236, 309, 249, 319]}, {\"cell\": \"8.1\", \"bbox\": [271, 309, 284, 319]}, {\"cell\": \"23\", \"bbox\": [306, 309, 317, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 309, 350, 319]}, {\"cell\": \"250\", \"bbox\": [368, 309, 383, 319]}, {\"cell\": \"11.9\", \"bbox\": [401, 309, 418, 319]}, {\"cell\": \"8.4\", \"bbox\": [440, 309, 453, 319]}, {\"cell\": \"<b>9.9</b>\", \"bbox\": [475, 310, 488, 317]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4930833_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}526{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Items</b></td><td colspan=\\\"2\\\"><b>Answers</b></td><td colspan=\\\"2\\\"><b>Experts’ opinion</b></td><td><b>Weighting</b></td></tr><tr><td><b>Ideal</b></td><td><b>Not ideal</b></td><td><b>Total [A]</b></td><td><b>CV</b></td><td><b>Weighted Factor [B]</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>38.0</td><td>0.547</td><td>0.076</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>31.0</td><td>0.447</td><td>0.062</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>36.0</td><td>0.432</td><td>0.072</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>34.0</td><td>0.351</td><td>0.068</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>29.0</td><td>0.446</td><td>0.058</td></tr><tr><td>[EMPTY_CELL]</td><td>Each time it is uploaded</td><td>Other</td><td>17.0</td><td>0.675</td><td>0.034</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>38.0</td><td>0.799</td><td>0.076</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>41.0</td><td>0.264</td><td>0.082</td></tr><tr><td>[EMPTY_CELL]</td><td>Each time it is uploaded</td><td>Other</td><td>21.0</td><td>0.547</td><td>0.042</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>39.0</td><td>0.246</td><td>0.078</td></tr><tr><td>[EMPTY_CELL]</td><td>Each time it is uploaded</td><td>Other</td><td>16.0</td><td>0.978</td><td>0.032</td></tr><tr><td>[EMPTY_CELL]</td><td><5 h</td><td>Other</td><td>42.0</td><td>0.246</td><td>0.084</td></tr><tr><td>[EMPTY_CELL]</td><td>In a cooled box, in the shade</td><td>Other</td><td>35.0</td><td>0.335</td><td>0.070</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>23.0</td><td>0.6974</td><td>0.046</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>7.0</td><td>0.719</td><td>0.014</td></tr><tr><td>[EMPTY_CELL]</td><td>LSEs</td><td>Other</td><td>10.0</td><td>0.692</td><td>0.020</td></tr><tr><td>[EMPTY_CELL]</td><td>n vaccinated females and doses used</td><td>Other</td><td>32.0</td><td>0.422</td><td>0.064</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>11.0</td><td>0.956</td><td>0.022</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Items</b>\", \"bbox\": [1, 4, 20, 13]}, {\"cell\": \"<b>Answers</b>\", \"bbox\": [235, 4, 264, 13]}, {\"cell\": \"<b>Experts’ opinion</b>\", \"bbox\": [389, 4, 442, 13]}, {\"cell\": \"<b>Weighting</b>\", \"bbox\": [449, 4, 484, 13]}, {\"cell\": \"<b>Ideal</b>\", \"bbox\": [235, 17, 252, 27]}, {\"cell\": \"<b>Not ideal</b>\", \"bbox\": [363, 17, 380, 36]}, {\"cell\": \"<b>Total [A]</b>\", \"bbox\": [389, 17, 406, 36]}, {\"cell\": \"<b>CV</b>\", \"bbox\": [417, 17, 427, 27]}, {\"cell\": \"<b>Weighted Factor [B]</b>\", \"bbox\": [449, 17, 482, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 39, 176, 49]}, {\"cell\": \"Yes\", \"bbox\": [235, 39, 248, 49]}, {\"cell\": \"No\", \"bbox\": [363, 39, 374, 49]}, {\"cell\": \"38.0\", \"bbox\": [389, 39, 404, 49]}, {\"cell\": \"0.547\", \"bbox\": [417, 39, 435, 49]}, {\"cell\": \"0.076\", \"bbox\": [449, 39, 468, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 53, 230, 63]}, {\"cell\": \"Yes\", \"bbox\": [235, 53, 248, 63]}, {\"cell\": \"No\", \"bbox\": [363, 53, 374, 63]}, {\"cell\": \"31.0\", \"bbox\": [389, 53, 404, 63]}, {\"cell\": \"0.447\", \"bbox\": [417, 53, 435, 63]}, {\"cell\": \"0.062\", \"bbox\": [449, 53, 468, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 67, 228, 77]}, {\"cell\": \"Yes\", \"bbox\": [235, 67, 248, 77]}, {\"cell\": \"No\", \"bbox\": [363, 67, 374, 77]}, {\"cell\": \"36.0\", \"bbox\": [389, 67, 404, 77]}, {\"cell\": \"0.432\", \"bbox\": [417, 67, 435, 77]}, {\"cell\": \"0.072\", \"bbox\": [449, 67, 468, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 81, 205, 100]}, {\"cell\": \"Yes\", \"bbox\": [235, 81, 248, 91]}, {\"cell\": \"No\", \"bbox\": [363, 81, 374, 91]}, {\"cell\": \"34.0\", \"bbox\": [389, 81, 404, 91]}, {\"cell\": \"0.351\", \"bbox\": [417, 81, 435, 91]}, {\"cell\": \"0.068\", \"bbox\": [449, 81, 468, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 104, 220, 114]}, {\"cell\": \"Yes\", \"bbox\": [235, 104, 248, 114]}, {\"cell\": \"No\", \"bbox\": [363, 104, 374, 114]}, {\"cell\": \"29.0\", \"bbox\": [389, 104, 404, 114]}, {\"cell\": \"0.446\", \"bbox\": [417, 104, 435, 114]}, {\"cell\": \"0.058\", \"bbox\": [449, 104, 468, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 118, 156, 128]}, {\"cell\": \"Each time it is uploaded\", \"bbox\": [235, 118, 315, 128]}, {\"cell\": \"Other\", \"bbox\": [363, 118, 383, 128]}, {\"cell\": \"17.0\", \"bbox\": [389, 118, 404, 128]}, {\"cell\": \"0.675\", \"bbox\": [417, 118, 435, 128]}, {\"cell\": \"0.034\", \"bbox\": [449, 118, 468, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 132, 126, 142]}, {\"cell\": \"Yes\", \"bbox\": [235, 132, 248, 142]}, {\"cell\": \"No\", \"bbox\": [363, 132, 374, 142]}, {\"cell\": \"38.0\", \"bbox\": [389, 132, 404, 142]}, {\"cell\": \"0.799\", \"bbox\": [417, 132, 435, 142]}, {\"cell\": \"0.076\", \"bbox\": [449, 132, 468, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 146, 62, 156]}, {\"cell\": \"Yes\", \"bbox\": [235, 146, 248, 156]}, {\"cell\": \"No\", \"bbox\": [363, 146, 374, 156]}, {\"cell\": \"41.0\", \"bbox\": [389, 146, 404, 156]}, {\"cell\": \"0.264\", \"bbox\": [417, 146, 435, 156]}, {\"cell\": \"0.082\", \"bbox\": [449, 146, 468, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 160, 105, 170]}, {\"cell\": \"Each time it is uploaded\", \"bbox\": [235, 160, 315, 170]}, {\"cell\": \"Other\", \"bbox\": [363, 160, 383, 170]}, {\"cell\": \"21.0\", \"bbox\": [389, 160, 404, 170]}, {\"cell\": \"0.547\", \"bbox\": [417, 160, 435, 170]}, {\"cell\": \"0.042\", \"bbox\": [449, 160, 468, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 174, 182, 184]}, {\"cell\": \"Yes\", \"bbox\": [235, 174, 248, 184]}, {\"cell\": \"No\", \"bbox\": [363, 174, 374, 184]}, {\"cell\": \"39.0\", \"bbox\": [389, 174, 404, 184]}, {\"cell\": \"0.246\", \"bbox\": [417, 174, 435, 184]}, {\"cell\": \"0.078\", \"bbox\": [449, 174, 468, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 188, 126, 198]}, {\"cell\": \"Each time it is uploaded\", \"bbox\": [235, 188, 315, 198]}, {\"cell\": \"Other\", \"bbox\": [363, 188, 383, 198]}, {\"cell\": \"16.0\", \"bbox\": [389, 188, 404, 198]}, {\"cell\": \"0.978\", \"bbox\": [417, 188, 435, 198]}, {\"cell\": \"0.032\", \"bbox\": [449, 188, 468, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 202, 219, 221]}, {\"cell\": \"<5 h\", \"bbox\": [235, 202, 253, 212]}, {\"cell\": \"Other\", \"bbox\": [363, 202, 383, 212]}, {\"cell\": \"42.0\", \"bbox\": [389, 202, 404, 212]}, {\"cell\": \"0.246\", \"bbox\": [417, 202, 435, 212]}, {\"cell\": \"0.084\", \"bbox\": [449, 202, 468, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 225, 130, 235]}, {\"cell\": \"In a cooled box, in the shade\", \"bbox\": [235, 225, 332, 235]}, {\"cell\": \"Other\", \"bbox\": [363, 225, 383, 235]}, {\"cell\": \"35.0\", \"bbox\": [389, 225, 404, 235]}, {\"cell\": \"0.335\", \"bbox\": [417, 225, 435, 235]}, {\"cell\": \"0.070\", \"bbox\": [449, 225, 468, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 239, 230, 249]}, {\"cell\": \"Yes\", \"bbox\": [235, 239, 248, 249]}, {\"cell\": \"No\", \"bbox\": [363, 239, 374, 249]}, {\"cell\": \"23.0\", \"bbox\": [389, 239, 404, 249]}, {\"cell\": \"0.6974\", \"bbox\": [417, 239, 439, 249]}, {\"cell\": \"0.046\", \"bbox\": [449, 239, 468, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 253, 217, 263]}, {\"cell\": \"Yes\", \"bbox\": [235, 253, 248, 263]}, {\"cell\": \"No\", \"bbox\": [363, 253, 374, 263]}, {\"cell\": \"7.0\", \"bbox\": [389, 253, 400, 263]}, {\"cell\": \"0.719\", \"bbox\": [417, 253, 435, 263]}, {\"cell\": \"0.014\", \"bbox\": [449, 253, 468, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 267, 200, 277]}, {\"cell\": \"LSEs\", \"bbox\": [235, 267, 251, 277]}, {\"cell\": \"Other\", \"bbox\": [363, 267, 383, 277]}, {\"cell\": \"10.0\", \"bbox\": [389, 267, 404, 277]}, {\"cell\": \"0.692\", \"bbox\": [417, 267, 435, 277]}, {\"cell\": \"0.020\", \"bbox\": [449, 267, 468, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 281, 210, 291]}, {\"cell\": \"n vaccinated females and doses used\", \"bbox\": [235, 281, 358, 291]}, {\"cell\": \"Other\", \"bbox\": [363, 281, 383, 291]}, {\"cell\": \"32.0\", \"bbox\": [389, 281, 404, 291]}, {\"cell\": \"0.422\", \"bbox\": [417, 281, 435, 291]}, {\"cell\": \"0.064\", \"bbox\": [449, 281, 468, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 295, 227, 314]}, {\"cell\": \"Yes\", \"bbox\": [235, 295, 248, 305]}, {\"cell\": \"No\", \"bbox\": [363, 295, 374, 305]}, {\"cell\": \"11.0\", \"bbox\": [389, 295, 404, 305]}, {\"cell\": \"0.956\", \"bbox\": [417, 295, 435, 305]}, {\"cell\": \"0.022\", \"bbox\": [449, 295, 468, 305]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5590139_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}527{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Subscale</b></td><td><b>Minimum</b></td><td><b>Maximum</b></td><td><b>Mean</b></td><td><b>SD</b></td><td><b>Skewness</b></td><td><b>Kurtosis</b></td></tr></thead><tbody><tr><td>Living conditions and lifestyle (7 items)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Raw and unscaled</td><td>7</td><td>35</td><td>[EMPTY_CELL]</td><td>5.24</td><td>−0.73</td><td>3.56</td></tr><tr><td> Rescaled but unweighted for importance</td><td>0</td><td>100</td><td>[EMPTY_CELL]</td><td>18.74</td><td>0.73</td><td>3.56</td></tr><tr><td> Rescaled and weighted for importance</td><td>0</td><td>100</td><td>[EMPTY_CELL]</td><td>16.46</td><td>0.16</td><td>2.84</td></tr><tr><td>Social relationships (5 items)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Raw and unscaled</td><td>5</td><td>25</td><td>[EMPTY_CELL]</td><td>3.66</td><td>−1.16</td><td>5.11</td></tr><tr><td> Rescaled but unweighted for importance</td><td>0</td><td>100</td><td>[EMPTY_CELL]</td><td>18.31</td><td>−1.16</td><td>5.11</td></tr><tr><td> Rescaled and weighted for importance</td><td>0</td><td>100</td><td>[EMPTY_CELL]</td><td>15.92</td><td>−0.17</td><td>3.56</td></tr><tr><td>Personal independence (5 items)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Raw and unscaled</td><td>5</td><td>25</td><td>[EMPTY_CELL]</td><td>4.37</td><td>−0.29</td><td>2.59</td></tr><tr><td> Rescaled but unweighted for importance</td><td>0</td><td>100</td><td>[EMPTY_CELL]</td><td>21.86</td><td>−0.29</td><td>2.59</td></tr><tr><td> Rescaled and weighted for importance</td><td>0</td><td>100</td><td>[EMPTY_CELL]</td><td>17.95</td><td>−0.02</td><td>2.96</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Subscale</b>\", \"bbox\": [1, 8, 35, 18]}, {\"cell\": \"<b>Minimum</b>\", \"bbox\": [181, 8, 216, 18]}, {\"cell\": \"<b>Maximum</b>\", \"bbox\": [240, 8, 277, 18]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [301, 8, 323, 18]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [352, 8, 365, 18]}, {\"cell\": \"<b>Skewness</b>\", \"bbox\": [393, 8, 431, 18]}, {\"cell\": \"<b>Kurtosis</b>\", \"bbox\": [456, 8, 487, 18]}, {\"cell\": \"Living conditions and lifestyle (7 items)\", \"bbox\": [1, 28, 142, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Raw and unscaled\", \"bbox\": [8, 39, 77, 49]}, {\"cell\": \"7\", \"bbox\": [195, 39, 202, 49]}, {\"cell\": \"35\", \"bbox\": [256, 39, 266, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 39, 323, 49]}, {\"cell\": \"5.24\", \"bbox\": [352, 39, 369, 49]}, {\"cell\": \"−0.73\", \"bbox\": [400, 39, 425, 49]}, {\"cell\": \"3.56\", \"bbox\": [462, 39, 480, 49]}, {\"cell\": \" Rescaled but unweighted for importance\", \"bbox\": [8, 51, 157, 61]}, {\"cell\": \"0\", \"bbox\": [195, 51, 202, 61]}, {\"cell\": \"100\", \"bbox\": [251, 51, 266, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 51, 323, 61]}, {\"cell\": \"18.74\", \"bbox\": [347, 51, 369, 61]}, {\"cell\": \"0.73\", \"bbox\": [408, 51, 425, 61]}, {\"cell\": \"3.56\", \"bbox\": [462, 51, 480, 61]}, {\"cell\": \" Rescaled and weighted for importance\", \"bbox\": [8, 63, 150, 73]}, {\"cell\": \"0\", \"bbox\": [195, 63, 202, 73]}, {\"cell\": \"100\", \"bbox\": [251, 63, 266, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 63, 323, 73]}, {\"cell\": \"16.46\", \"bbox\": [347, 63, 369, 73]}, {\"cell\": \"0.16\", \"bbox\": [408, 63, 425, 73]}, {\"cell\": \"2.84\", \"bbox\": [462, 63, 480, 73]}, {\"cell\": \"Social relationships (5 items)\", \"bbox\": [1, 75, 105, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Raw and unscaled\", \"bbox\": [8, 87, 77, 97]}, {\"cell\": \"5\", \"bbox\": [195, 87, 202, 97]}, {\"cell\": \"25\", \"bbox\": [256, 87, 266, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 87, 323, 97]}, {\"cell\": \"3.66\", \"bbox\": [352, 87, 369, 97]}, {\"cell\": \"−1.16\", \"bbox\": [400, 87, 425, 97]}, {\"cell\": \"5.11\", \"bbox\": [462, 87, 480, 97]}, {\"cell\": \" Rescaled but unweighted for importance\", \"bbox\": [8, 99, 157, 109]}, {\"cell\": \"0\", \"bbox\": [195, 99, 202, 109]}, {\"cell\": \"100\", \"bbox\": [251, 99, 266, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 99, 323, 109]}, {\"cell\": \"18.31\", \"bbox\": [347, 99, 369, 109]}, {\"cell\": \"−1.16\", \"bbox\": [400, 99, 425, 109]}, {\"cell\": \"5.11\", \"bbox\": [462, 99, 480, 109]}, {\"cell\": \" Rescaled and weighted for importance\", \"bbox\": [8, 111, 150, 121]}, {\"cell\": \"0\", \"bbox\": [195, 111, 202, 121]}, {\"cell\": \"100\", \"bbox\": [251, 111, 266, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 111, 323, 121]}, {\"cell\": \"15.92\", \"bbox\": [347, 111, 369, 121]}, {\"cell\": \"−0.17\", \"bbox\": [400, 111, 425, 121]}, {\"cell\": \"3.56\", \"bbox\": [462, 111, 480, 121]}, {\"cell\": \"Personal independence (5 items)\", \"bbox\": [1, 123, 120, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Raw and unscaled\", \"bbox\": [8, 135, 77, 145]}, {\"cell\": \"5\", \"bbox\": [195, 135, 202, 145]}, {\"cell\": \"25\", \"bbox\": [256, 135, 266, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 135, 323, 145]}, {\"cell\": \"4.37\", \"bbox\": [352, 135, 369, 145]}, {\"cell\": \"−0.29\", \"bbox\": [400, 135, 425, 145]}, {\"cell\": \"2.59\", \"bbox\": [462, 135, 480, 145]}, {\"cell\": \" Rescaled but unweighted for importance\", \"bbox\": [8, 147, 157, 157]}, {\"cell\": \"0\", \"bbox\": [195, 147, 202, 157]}, {\"cell\": \"100\", \"bbox\": [251, 147, 266, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 147, 323, 157]}, {\"cell\": \"21.86\", \"bbox\": [347, 147, 369, 157]}, {\"cell\": \"−0.29\", \"bbox\": [400, 147, 425, 157]}, {\"cell\": \"2.59\", \"bbox\": [462, 147, 480, 157]}, {\"cell\": \" Rescaled and weighted for importance\", \"bbox\": [8, 159, 150, 169]}, {\"cell\": \"0\", \"bbox\": [195, 159, 202, 169]}, {\"cell\": \"100\", \"bbox\": [251, 159, 266, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 159, 323, 169]}, {\"cell\": \"17.95\", \"bbox\": [347, 159, 369, 169]}, {\"cell\": \"−0.02\", \"bbox\": [400, 159, 425, 169]}, {\"cell\": \"2.96\", \"bbox\": [462, 159, 480, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4947833_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}528{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Concept</b></td><td><b>Definition</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>The underlying motivation for the changes under review, and tend to answer the question ‘why is this intervention taking place?’ The drivers and outcomes are important, and tend to form the ‘anchors’ for the logic model. Drivers and outcomes should be closely related.</td></tr><tr><td>[EMPTY_CELL]</td><td>The physical, material, organization and/or social environment in which the change is taking place. These become the enabling/disabling environments for the change to take place.</td></tr><tr><td>[EMPTY_CELL]</td><td>Mechanisms are a complex idea to distill on their own. Instead, we extracted the barriers and facilitators to change. Often (but not always) the barriers and facilitators are the opposite of each other, and when written as a positive statement, they become the mechanisms to support change.</td></tr><tr><td>[EMPTY_CELL]</td><td>The outputs as the material or measurable products of undertaking the process or project under investigation. They tend to be tangible, countable, and relatively uncontentious products of the research and they are often the clearly codifiable components of the process.</td></tr><tr><td>[EMPTY_CELL]</td><td>Outcomes are the changes resulting from the intervention, and should be closely related to the drivers. Outcomes often require a formal process of evaluation/research to capture in a meaningful way.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Concept</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>Definition</b>\", \"bbox\": [63, 4, 99, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 24, 27]}, {\"cell\": \"The underlying motivation for the changes under review, and tend to answer the question ‘why is this intervention taking place?’ The drivers and outcomes are important, and tend to form the ‘anchors’ for the logic model. Drivers and outcomes should be closely related.\", \"bbox\": [63, 17, 482, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 30, 59]}, {\"cell\": \"The physical, material, organization and/or social environment in which the change is taking place. These become the enabling/disabling environments for the change to take place.\", \"bbox\": [63, 49, 477, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 42, 82]}, {\"cell\": \"Mechanisms are a complex idea to distill on their own. Instead, we extracted the barriers and facilitators to change. Often (but not always) the barriers and facilitators are the opposite of each other, and when written as a positive statement, they become the mechanisms to support change.\", \"bbox\": [63, 72, 484, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 104, 28, 114]}, {\"cell\": \"The outputs as the material or measurable products of undertaking the process or project under investigation. They tend to be tangible, countable, and relatively uncontentious products of the research and they are often the clearly codifiable components of the process.\", \"bbox\": [63, 104, 476, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 136, 35, 146]}, {\"cell\": \"Outcomes are the changes resulting from the intervention, and should be closely related to the drivers. Outcomes often require a formal process of evaluation/research to capture in a meaningful way.\", \"bbox\": [63, 136, 477, 155]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3895764_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}529{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Source</b></td><td><b>Population</b></td><td><b>Description</b></td><td><b>n<sup>2</sup></b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>BSO</td><td>Southeastern Bantu-speakers from the Soweto region</td><td>94</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"7\\\">[EMPTY_CELL]</td><td>CEU</td><td>Utah residents of European ancestry</td><td>102</td><td rowspan=\\\"7\\\">1000 Genomes Project (http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/technical/working/20120131_omni_genotypes_and_intensities)</td></tr><tr><td>[EMPTY_CELL]</td><td>Han Chinese in Beijing, China</td><td>67</td></tr><tr><td>[EMPTY_CELL]</td><td>Japanese in Tokyo, Japan</td><td>64</td></tr><tr><td>[EMPTY_CELL]</td><td>Gujarati Indians from Houston, Texas</td><td>98</td></tr><tr><td>[EMPTY_CELL]</td><td>Yoruba in Ibadan, Nigeria</td><td>161</td></tr><tr><td>[EMPTY_CELL]</td><td>Luhya in Webuye, Kenya</td><td>99</td></tr><tr><td>[EMPTY_CELL]</td><td>Maasai in Kinyawa, Kenya</td><td>30</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>KAR</td><td>Karretjie in South Africa</td><td>19</td><td rowspan=\\\"4\\\">Schlebusch et al. 2012</td></tr><tr><td>[EMPTY_CELL]</td><td>Khomani in South Africa</td><td>38</td></tr><tr><td>[EMPTY_CELL]</td><td>Nama in Namibia</td><td>20</td></tr><tr><td>[EMPTY_CELL]</td><td>Southeastern Bantu-speakers</td><td>20</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Source</b>\", \"bbox\": [1, 4, 26, 13]}, {\"cell\": \"<b>Population</b>\", \"bbox\": [74, 4, 114, 13]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [118, 4, 160, 13]}, {\"cell\": \"<b>n<sup>2</sup></b>\", \"bbox\": [259, 2, 268, 13]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [276, 4, 312, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 46, 27]}, {\"cell\": \"BSO\", \"bbox\": [74, 17, 89, 27]}, {\"cell\": \"Southeastern Bantu-speakers from the Soweto region\", \"bbox\": [118, 17, 242, 36]}, {\"cell\": \"94\", \"bbox\": [259, 17, 268, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 51, 59]}, {\"cell\": \"CEU\", \"bbox\": [74, 40, 89, 50]}, {\"cell\": \"Utah residents of European ancestry\", \"bbox\": [118, 40, 236, 50]}, {\"cell\": \"102\", \"bbox\": [259, 40, 272, 50]}, {\"cell\": \"1000 Genomes Project (http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/technical/working/20120131_omni_genotypes_and_intensities)\", \"bbox\": [276, 40, 484, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 54, 90, 64]}, {\"cell\": \"Han Chinese in Beijing, China\", \"bbox\": [118, 54, 214, 64]}, {\"cell\": \"67\", \"bbox\": [259, 54, 268, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 68, 87, 78]}, {\"cell\": \"Japanese in Tokyo, Japan\", \"bbox\": [118, 68, 201, 78]}, {\"cell\": \"64\", \"bbox\": [259, 68, 268, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 82, 88, 92]}, {\"cell\": \"Gujarati Indians from Houston, Texas\", \"bbox\": [118, 82, 237, 92]}, {\"cell\": \"98\", \"bbox\": [259, 82, 268, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 96, 86, 106]}, {\"cell\": \"Yoruba in Ibadan, Nigeria\", \"bbox\": [118, 96, 201, 106]}, {\"cell\": \"161\", \"bbox\": [259, 96, 272, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 110, 90, 120]}, {\"cell\": \"Luhya in Webuye, Kenya\", \"bbox\": [118, 110, 199, 120]}, {\"cell\": \"99\", \"bbox\": [259, 110, 268, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 124, 90, 134]}, {\"cell\": \"Maasai in Kinyawa, Kenya\", \"bbox\": [118, 124, 201, 134]}, {\"cell\": \"30\", \"bbox\": [259, 124, 268, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 53, 157]}, {\"cell\": \"KAR\", \"bbox\": [74, 138, 89, 148]}, {\"cell\": \"Karretjie in South Africa\", \"bbox\": [118, 138, 195, 148]}, {\"cell\": \"19\", \"bbox\": [259, 138, 268, 148]}, {\"cell\": \"Schlebusch et al. 2012\", \"bbox\": [276, 138, 349, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 152, 91, 162]}, {\"cell\": \"Khomani in South Africa\", \"bbox\": [118, 152, 198, 162]}, {\"cell\": \"38\", \"bbox\": [259, 152, 268, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 166, 92, 176]}, {\"cell\": \"Nama in Namibia\", \"bbox\": [118, 166, 176, 176]}, {\"cell\": \"20\", \"bbox\": [259, 166, 268, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 180, 88, 190]}, {\"cell\": \"Southeastern Bantu-speakers\", \"bbox\": [118, 180, 212, 190]}, {\"cell\": \"20\", \"bbox\": [259, 180, 268, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3850641_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}530{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Risk factors*</b></td><td><b>All patients</b></td><td colspan=\\\"4\\\"><b>Age range (years)</b></td><td colspan=\\\"2\\\"><b>Gender</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>20-39</b></td><td><b>40-60</b></td><td><b>>60</b></td><td><b>Male</b></td><td><b>Female</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>N (%)194 (100)</b></td><td><b>N (%)13 (6.7)</b></td><td><b>N (%)36 (18.6)</b></td><td><b>N (%)81 (41.8)</b></td><td><b>N (%)64 (33)</b></td><td><b>N (%)126 (65)</b></td><td><b>N (%)68 (35.1)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>98 (50.5)</td><td>1 (7.7)</td><td>6 (16.7)</td><td>52 (64.2)</td><td>39 (60.9)</td><td>78 (61.9)</td><td>20 (29.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>126 (65)</td><td>1 (7.7)</td><td>14 (38.9)</td><td>56 (69.1)</td><td>55 (86)</td><td>94 (74.6)</td><td>32 (47.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>15 (7.7)</td><td>4 (30.8)</td><td>3 (8.3)</td><td>6 (7.4)</td><td>2 (3.1)</td><td>6 (4.8)</td><td>9 (13.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>18 (9.3)</td><td>1 (7.7)</td><td>5 (13.9)</td><td>7 (8.6)</td><td>5 (7.8)</td><td>7 (5.6)</td><td>8 (11.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>11 (5.7)</td><td>1 (7.7)</td><td>3 (8.3)</td><td>5 (6.2)</td><td>2 (3.1)</td><td>5 (4)</td><td>6 (8.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (2)</td><td>0 (0)</td><td>4 (11.1)</td><td>0 (0)</td><td>0 (0)</td><td>0 (0)</td><td>4 (5.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (1)</td><td>0 (0)</td><td>2 (5.6)</td><td>0 (0)</td><td>0 (0)</td><td>1 (0.8)</td><td>1 (1.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>18 (9.3)</td><td>6 (46.2)</td><td>8 (22.2)</td><td>3 (3.7)</td><td>1 (1.6)</td><td>7 (5.6)</td><td>11 (16.2)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Risk factors*</b>\", \"bbox\": [1, 4, 46, 13]}, {\"cell\": \"<b>All patients</b>\", \"bbox\": [174, 4, 215, 13]}, {\"cell\": \"<b>Age range (years)</b>\", \"bbox\": [278, 4, 341, 13]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [428, 4, 455, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 17, 250, 27]}, {\"cell\": \"<b>20-39</b>\", \"bbox\": [275, 17, 297, 27]}, {\"cell\": \"<b>40-60</b>\", \"bbox\": [321, 17, 342, 27]}, {\"cell\": \"<b>>60</b>\", \"bbox\": [368, 17, 383, 27]}, {\"cell\": \"<b>Male</b>\", \"bbox\": [410, 17, 428, 27]}, {\"cell\": \"<b>Female</b>\", \"bbox\": [450, 17, 477, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N (%)194 (100)</b>\", \"bbox\": [177, 30, 212, 49]}, {\"cell\": \"<b>N (%)13 (6.7)</b>\", \"bbox\": [229, 30, 257, 49]}, {\"cell\": \"<b>N (%)36 (18.6)</b>\", \"bbox\": [270, 30, 302, 49]}, {\"cell\": \"<b>N (%)81 (41.8)</b>\", \"bbox\": [315, 30, 348, 49]}, {\"cell\": \"<b>N (%)64 (33)</b>\", \"bbox\": [363, 30, 389, 49]}, {\"cell\": \"<b>N (%)126 (65)</b>\", \"bbox\": [404, 30, 434, 49]}, {\"cell\": \"<b>N (%)68 (35.1)</b>\", \"bbox\": [447, 30, 480, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 53, 32, 62]}, {\"cell\": \"98 (50.5)\", \"bbox\": [180, 53, 209, 61]}, {\"cell\": \"1 (7.7)\", \"bbox\": [232, 53, 253, 61]}, {\"cell\": \"6 (16.7)\", \"bbox\": [273, 53, 299, 61]}, {\"cell\": \"52 (64.2)\", \"bbox\": [317, 53, 346, 61]}, {\"cell\": \"39 (60.9)\", \"bbox\": [361, 53, 390, 61]}, {\"cell\": \"78 (61.9)\", \"bbox\": [404, 53, 434, 61]}, {\"cell\": \"20 (29.4)\", \"bbox\": [449, 53, 478, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 64, 42, 74]}, {\"cell\": \"126 (65)\", \"bbox\": [180, 65, 208, 73]}, {\"cell\": \"1 (7.7)\", \"bbox\": [232, 65, 253, 73]}, {\"cell\": \"14 (38.9)\", \"bbox\": [271, 65, 301, 73]}, {\"cell\": \"56 (69.1)\", \"bbox\": [317, 65, 346, 73]}, {\"cell\": \"55 (86)\", \"bbox\": [364, 65, 388, 73]}, {\"cell\": \"94 (74.6)\", \"bbox\": [399, 65, 428, 73]}, {\"cell\": \"32 (47.1)\", \"bbox\": [449, 65, 478, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 76, 85, 86]}, {\"cell\": \"15 (7.7)\", \"bbox\": [182, 77, 207, 85]}, {\"cell\": \"4 (30.8)\", \"bbox\": [230, 77, 255, 85]}, {\"cell\": \"3 (8.3)\", \"bbox\": [275, 77, 297, 85]}, {\"cell\": \"6 (7.4)\", \"bbox\": [321, 77, 342, 85]}, {\"cell\": \"2 (3.1)\", \"bbox\": [365, 77, 387, 85]}, {\"cell\": \"6 (4.8)\", \"bbox\": [408, 77, 430, 85]}, {\"cell\": \"9 (13.2)\", \"bbox\": [451, 77, 476, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 88, 132, 98]}, {\"cell\": \"18 (9.3)\", \"bbox\": [182, 89, 207, 97]}, {\"cell\": \"1 (7.7)\", \"bbox\": [232, 89, 253, 97]}, {\"cell\": \"5 (13.9)\", \"bbox\": [273, 89, 299, 97]}, {\"cell\": \"7 (8.6)\", \"bbox\": [321, 89, 342, 97]}, {\"cell\": \"5 (7.8)\", \"bbox\": [365, 89, 386, 97]}, {\"cell\": \"7 (5.6)\", \"bbox\": [408, 89, 430, 97]}, {\"cell\": \"8 (11.8)\", \"bbox\": [451, 89, 476, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 155, 110]}, {\"cell\": \"11 (5.7)\", \"bbox\": [182, 101, 207, 109]}, {\"cell\": \"1 (7.7)\", \"bbox\": [232, 101, 253, 109]}, {\"cell\": \"3 (8.3)\", \"bbox\": [275, 101, 297, 109]}, {\"cell\": \"5 (6.2)\", \"bbox\": [321, 101, 342, 109]}, {\"cell\": \"2 (3.1)\", \"bbox\": [365, 101, 386, 109]}, {\"cell\": \"5 (4)\", \"bbox\": [411, 101, 427, 109]}, {\"cell\": \"6 (8.8)\", \"bbox\": [453, 101, 474, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 112, 83, 122]}, {\"cell\": \"4 (2)\", \"bbox\": [186, 113, 203, 121]}, {\"cell\": \"0 (0)\", \"bbox\": [234, 113, 251, 121]}, {\"cell\": \"4 (11.1)\", \"bbox\": [273, 113, 299, 121]}, {\"cell\": \"0 (0)\", \"bbox\": [323, 113, 340, 121]}, {\"cell\": \"0 (0)\", \"bbox\": [367, 113, 384, 121]}, {\"cell\": \"0 (0)\", \"bbox\": [411, 113, 427, 121]}, {\"cell\": \"4 (5.9)\", \"bbox\": [453, 113, 474, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 25, 134]}, {\"cell\": \"2 (1)\", \"bbox\": [186, 124, 203, 133]}, {\"cell\": \"0 (0)\", \"bbox\": [234, 124, 251, 133]}, {\"cell\": \"2 (5.6)\", \"bbox\": [275, 124, 297, 133]}, {\"cell\": \"0 (0)\", \"bbox\": [323, 124, 340, 133]}, {\"cell\": \"0 (0)\", \"bbox\": [367, 124, 384, 133]}, {\"cell\": \"1 (0.8)\", \"bbox\": [408, 124, 430, 133]}, {\"cell\": \"1 (1.5)\", \"bbox\": [453, 124, 474, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 136, 37, 146]}, {\"cell\": \"18 (9.3)\", \"bbox\": [182, 136, 207, 145]}, {\"cell\": \"6 (46.2)\", \"bbox\": [230, 136, 255, 145]}, {\"cell\": \"8 (22.2)\", \"bbox\": [273, 136, 299, 145]}, {\"cell\": \"3 (3.7)\", \"bbox\": [321, 136, 342, 145]}, {\"cell\": \"1 (1.6)\", \"bbox\": [365, 136, 387, 145]}, {\"cell\": \"7 (5.6)\", \"bbox\": [408, 136, 430, 145]}, {\"cell\": \"11 (16.2)\", \"bbox\": [449, 136, 478, 145]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3126780_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}531{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Parameters</b></td><td><b>Summer</b></td><td><b>Winter</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>46.15±1.30*</td><td>55.55±1.19</td></tr><tr><td>[EMPTY_CELL]</td><td>22.87±0.85*</td><td>14.09±0.90</td></tr><tr><td>[EMPTY_CELL]</td><td>6.78±0.19</td><td>6.70±0.25</td></tr><tr><td>[EMPTY_CELL]</td><td>2.33±0.04*</td><td>0.98±0.04</td></tr><tr><td>[EMPTY_CELL]</td><td>0.40±0.03*</td><td>0.18±0.01</td></tr><tr><td>[EMPTY_CELL]</td><td>44.29±0.43*</td><td>81.62±1.77</td></tr><tr><td>[EMPTY_CELL]</td><td>44.51±1.53*</td><td>36.32±1.20</td></tr><tr><td>[EMPTY_CELL]</td><td>121.38±2.48*</td><td>103.86±3.27</td></tr><tr><td>[EMPTY_CELL]</td><td>161.24±0.37*</td><td>143.17±0.67</td></tr><tr><td>[EMPTY_CELL]</td><td>6.00±0.05*</td><td>4.60±0.05</td></tr><tr><td>[EMPTY_CELL]</td><td>7.49±0.11*</td><td>8.52±0.23</td></tr><tr><td>[EMPTY_CELL]</td><td>3.74±0.09*</td><td>5.70±0.49</td></tr><tr><td>[EMPTY_CELL]</td><td>1.46±0.09*</td><td>2.55±0.12</td></tr><tr><td>[EMPTY_CELL]</td><td>43.09±1.25*</td><td>54.93±1.05</td></tr><tr><td>[EMPTY_CELL]</td><td>13.71±0.36*</td><td>10.62±0.25</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameters</b>\", \"bbox\": [1, 6, 54, 14]}, {\"cell\": \"<b>Summer</b>\", \"bbox\": [112, 6, 152, 14]}, {\"cell\": \"<b>Winter</b>\", \"bbox\": [195, 6, 227, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 20, 68, 30]}, {\"cell\": \"46.15±1.30*\", \"bbox\": [105, 20, 160, 30]}, {\"cell\": \"55.55±1.19\", \"bbox\": [186, 20, 236, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 53, 40]}, {\"cell\": \"22.87±0.85*\", \"bbox\": [105, 30, 160, 40]}, {\"cell\": \"14.09±0.90\", \"bbox\": [186, 30, 236, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 38, 50]}, {\"cell\": \"6.78±0.19\", \"bbox\": [110, 40, 155, 50]}, {\"cell\": \"6.70±0.25\", \"bbox\": [188, 40, 233, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 51, 45, 60]}, {\"cell\": \"2.33±0.04*\", \"bbox\": [107, 51, 157, 60]}, {\"cell\": \"0.98±0.04\", \"bbox\": [188, 51, 233, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 61, 71, 70]}, {\"cell\": \"0.40±0.03*\", \"bbox\": [107, 61, 157, 70]}, {\"cell\": \"0.18±0.01\", \"bbox\": [188, 61, 233, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 81, 81]}, {\"cell\": \"44.29±0.43*\", \"bbox\": [105, 71, 160, 81]}, {\"cell\": \"81.62±1.77\", \"bbox\": [186, 71, 236, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 81, 41, 91]}, {\"cell\": \"44.51±1.53*\", \"bbox\": [105, 81, 160, 91]}, {\"cell\": \"36.32±1.20\", \"bbox\": [186, 81, 236, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 91, 42, 101]}, {\"cell\": \"121.38±2.48*\", \"bbox\": [102, 91, 162, 101]}, {\"cell\": \"103.86±3.27\", \"bbox\": [183, 91, 238, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 52, 111]}, {\"cell\": \"161.24±0.37*\", \"bbox\": [102, 101, 162, 111]}, {\"cell\": \"143.17±0.67\", \"bbox\": [183, 101, 238, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 47, 121]}, {\"cell\": \"6.00±0.05*\", \"bbox\": [107, 111, 157, 121]}, {\"cell\": \"4.60±0.05\", \"bbox\": [188, 111, 233, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 121, 47, 131]}, {\"cell\": \"7.49±0.11*\", \"bbox\": [107, 121, 157, 131]}, {\"cell\": \"8.52±0.23\", \"bbox\": [188, 121, 233, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 132, 44, 141]}, {\"cell\": \"3.74±0.09*\", \"bbox\": [107, 132, 157, 141]}, {\"cell\": \"5.70±0.49\", \"bbox\": [188, 132, 233, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 46, 151]}, {\"cell\": \"1.46±0.09*\", \"bbox\": [107, 142, 157, 151]}, {\"cell\": \"2.55±0.12\", \"bbox\": [188, 142, 233, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 46, 161]}, {\"cell\": \"43.09±1.25*\", \"bbox\": [105, 152, 160, 161]}, {\"cell\": \"54.93±1.05\", \"bbox\": [186, 152, 236, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 162, 67, 172]}, {\"cell\": \"13.71±0.36*\", \"bbox\": [105, 162, 160, 172]}, {\"cell\": \"10.62±0.25\", \"bbox\": [186, 162, 236, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5499082_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}532{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Species</b></td><td><b>Ball python</b></td><td colspan=\\\"2\\\"><b>Burmese python</b></td><td><b>Children’s python</b></td><td><b>Amazon tree boa</b></td><td><b>Malagasy ground boa</b></td></tr><tr><td><b>Parameter</b></td><td><b>(US)</b></td><td><b>(US)</b></td><td><b>(μCT)</b></td><td><b>(US)</b></td><td><b>(US)</b></td><td><b>(US)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>6</td><td>6</td><td>1</td><td>1</td><td>4</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>114.8 ± 6.0 CI95 (110.0;119.5)</td><td>102.9 ± 3.8 CI95 (99.9;105.9)</td><td>100.3</td><td>90.5</td><td>54.6 ± 18.8 CI95 (39.5;69.6)</td><td>80.5 ± 5.0 CI95 (76.5;84.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>1309.5 ± 196.4 CI95 (1152.4;1466.7)</td><td>513.0 ± 58.1 CI95 (466.5;559.6)</td><td>491.6</td><td>318.8</td><td>45.9 ± 11.4 CI95 (36.8;55.1)</td><td>449.2 ± 57.8 CI95 (403.0;495.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>5.8 ± 0.5 CI95 (5.4;6.2)</td><td>5.1 ± 0.2 CI95 (4.9;5.3)</td><td>5.1</td><td>3.4</td><td>3.8 ± 0.3 CI95 (3.6;4.0)</td><td>4.9 ± 0.3 CI95 (4.7;5.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>111.3 ± 3.4 CI95 (108.6;114.1)</td><td>110.1 ± 9.3 CI95 (102.6;117.5)</td><td>114.4</td><td>95.0</td><td>76.6 ± 7.9 CI95 (70.3;82.9)</td><td>94.5 ± 1.4 CI95 (93.4;95.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>57.3 ± 30.7 CI95 (32.8;81.9)</td><td>49.7 ± 26.2 CI95 (28.7;70.6)</td><td>65.2</td><td>26.5</td><td>23.4 ± 10.3 CI95 (15.1;31.6)</td><td>19.5 ± 5.7 CI95 (15.0;24.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>228.4 ± 22.2 CI95 (210.7;246.1)</td><td>237.3 ± 16.9 CI95 (223.7;250.8)</td><td>224.1</td><td>194.5</td><td>186.1 ± 3.0 CI95 (183.8;188.5)</td><td>210.5 ± 1.4 CI95 (209.4;211.6)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Species</b>\", \"bbox\": [0, 4, 28, 13]}, {\"cell\": \"<b>Ball python</b>\", \"bbox\": [128, 4, 170, 13]}, {\"cell\": \"<b>Burmese python</b>\", \"bbox\": [247, 4, 306, 13]}, {\"cell\": \"<b>Children’s python</b>\", \"bbox\": [378, 4, 441, 13]}, {\"cell\": \"<b>Amazon tree boa</b>\", \"bbox\": [449, 4, 511, 13]}, {\"cell\": \"<b>Malagasy ground boa</b>\", \"bbox\": [549, 4, 626, 13]}, {\"cell\": \"<b>Parameter</b>\", \"bbox\": [1, 17, 38, 27]}, {\"cell\": \"<b>(US)</b>\", \"bbox\": [128, 17, 144, 27]}, {\"cell\": \"<b>(US)</b>\", \"bbox\": [247, 17, 263, 27]}, {\"cell\": \"<b>(μCT)</b>\", \"bbox\": [351, 17, 371, 27]}, {\"cell\": \"<b>(US)</b>\", \"bbox\": [378, 17, 394, 27]}, {\"cell\": \"<b>(US)</b>\", \"bbox\": [449, 17, 465, 27]}, {\"cell\": \"<b>(US)</b>\", \"bbox\": [549, 17, 565, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 30, 14, 40]}, {\"cell\": \"6\", \"bbox\": [128, 30, 134, 40]}, {\"cell\": \"6\", \"bbox\": [247, 30, 253, 40]}, {\"cell\": \"1\", \"bbox\": [351, 30, 357, 40]}, {\"cell\": \"1\", \"bbox\": [378, 30, 384, 40]}, {\"cell\": \"4\", \"bbox\": [449, 30, 454, 40]}, {\"cell\": \"2\", \"bbox\": [549, 30, 554, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 44, 58, 54]}, {\"cell\": \"114.8 ± 6.0 CI95 (110.0;119.5)\", \"bbox\": [128, 44, 221, 54]}, {\"cell\": \"102.9 ± 3.8 CI95 (99.9;105.9)\", \"bbox\": [247, 44, 336, 54]}, {\"cell\": \"100.3\", \"bbox\": [351, 44, 370, 54]}, {\"cell\": \"90.5\", \"bbox\": [378, 44, 393, 54]}, {\"cell\": \"54.6 ± 18.8 CI95 (39.5;69.6)\", \"bbox\": [449, 44, 534, 54]}, {\"cell\": \"80.5 ± 5.0 CI95 (76.5;84.5)\", \"bbox\": [549, 44, 630, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 58, 54, 68]}, {\"cell\": \"1309.5 ± 196.4 CI95 (1152.4;1466.7)\", \"bbox\": [128, 58, 240, 68]}, {\"cell\": \"513.0 ± 58.1 CI95 (466.5;559.6)\", \"bbox\": [247, 58, 344, 68]}, {\"cell\": \"491.6\", \"bbox\": [351, 58, 370, 68]}, {\"cell\": \"318.8\", \"bbox\": [378, 58, 397, 68]}, {\"cell\": \"45.9 ± 11.4 CI95 (36.8;55.1)\", \"bbox\": [449, 58, 534, 68]}, {\"cell\": \"449.2 ± 57.8 CI95 (403.0;495.5)\", \"bbox\": [549, 58, 645, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 72, 83, 82]}, {\"cell\": \"5.8 ± 0.5 CI95 (5.4;6.2)\", \"bbox\": [128, 72, 198, 82]}, {\"cell\": \"5.1 ± 0.2 CI95 (4.9;5.3)\", \"bbox\": [247, 72, 317, 82]}, {\"cell\": \"5.1\", \"bbox\": [351, 72, 362, 82]}, {\"cell\": \"3.4\", \"bbox\": [378, 72, 389, 82]}, {\"cell\": \"3.8 ± 0.3 CI95 (3.6;4.0)\", \"bbox\": [449, 72, 519, 82]}, {\"cell\": \"4.9 ± 0.3 CI95 (4.7;5.1)\", \"bbox\": [549, 72, 619, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 86, 106, 96]}, {\"cell\": \"111.3 ± 3.4 CI95 (108.6;114.1)\", \"bbox\": [128, 86, 221, 96]}, {\"cell\": \"110.1 ± 9.3 CI95 (102.6;117.5)\", \"bbox\": [247, 86, 340, 96]}, {\"cell\": \"114.4\", \"bbox\": [351, 86, 370, 96]}, {\"cell\": \"95.0\", \"bbox\": [378, 86, 393, 96]}, {\"cell\": \"76.6 ± 7.9 CI95 (70.3;82.9)\", \"bbox\": [449, 86, 530, 96]}, {\"cell\": \"94.5 ± 1.4 CI95 (93.4;95.6)\", \"bbox\": [549, 86, 630, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 121, 110]}, {\"cell\": \"57.3 ± 30.7 CI95 (32.8;81.9)\", \"bbox\": [128, 100, 213, 110]}, {\"cell\": \"49.7 ± 26.2 CI95 (28.7;70.6)\", \"bbox\": [247, 100, 332, 110]}, {\"cell\": \"65.2\", \"bbox\": [351, 100, 366, 110]}, {\"cell\": \"26.5\", \"bbox\": [378, 100, 393, 110]}, {\"cell\": \"23.4 ± 10.3 CI95 (15.1;31.6)\", \"bbox\": [449, 100, 534, 110]}, {\"cell\": \"19.5 ± 5.7 CI95 (15.0;24.0)\", \"bbox\": [549, 100, 630, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 114, 99, 124]}, {\"cell\": \"228.4 ± 22.2 CI95 (210.7;246.1)\", \"bbox\": [128, 114, 225, 124]}, {\"cell\": \"237.3 ± 16.9 CI95 (223.7;250.8)\", \"bbox\": [247, 114, 344, 124]}, {\"cell\": \"224.1\", \"bbox\": [351, 114, 370, 124]}, {\"cell\": \"194.5\", \"bbox\": [378, 114, 397, 124]}, {\"cell\": \"186.1 ± 3.0 CI95 (183.8;188.5)\", \"bbox\": [449, 114, 541, 124]}, {\"cell\": \"210.5 ± 1.4 CI95 (209.4;211.6)\", \"bbox\": [549, 114, 641, 124]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4302111_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}533{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>NPGS accession number</b></td><td><b>Inbred line name</b></td><td><b>map location<sup>1</sup></b></td><td><b>Collection location from NPGS passport data</b></td><td><b>C-value (pg/nucleus)</b></td><td><b>chromosome number</b></td><td><b>time to flowering<sup>3</sup> (weeks)</b></td><td><b>maximum inflorescence height (cm)</b></td></tr></thead><tbody><tr><td><b>PI172383</b></td><td>Sin-1</td><td>1</td><td>Sinop, Turkey</td><td>0.91</td><td>nd</td><td>never</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI204863</b></td><td>Zig-1</td><td>2</td><td>Zigana, Turkey</td><td>1.07</td><td>nd</td><td>5</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI204865</b></td><td>Tra-1</td><td>3</td><td>Trabzon, Turkey</td><td>1.05</td><td>nd</td><td>8</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI206546</b></td><td>na</td><td>4</td><td>Greece</td><td>1.61 1.48</td><td>27</td><td>never</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI206619</b></td><td>na</td><td>5</td><td>Samsun, Turkey</td><td>1.49</td><td>nd</td><td>never</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI251102</b></td><td>Vel-1</td><td>6</td><td>Veles, Macedonia</td><td>1</td><td>nd</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI268222</b></td><td>Gor-1</td><td>7</td><td>Gorgan, Iran</td><td>1.02 0.92</td><td>nd</td><td>10</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI269842</b></td><td>Ain-1</td><td>8</td><td>Ain Draham, Tunisia</td><td>0.96 0.95</td><td>18</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI287787</b></td><td>na</td><td>9</td><td>Toledo Province, Spain</td><td>2.1</td><td>36</td><td>never</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI297868</b></td><td>Aus-1</td><td>na<sup>2</sup></td><td>Australia<sup>2</sup></td><td>0.98</td><td>18</td><td>8</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI318962</b></td><td>Can-1</td><td>10</td><td>Candeleda, Spain</td><td>1.02</td><td>nd</td><td>8</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI325218</b></td><td>na</td><td>11</td><td>Stavropol, Russia</td><td>0.85</td><td>nd</td><td>never</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI344569</b></td><td>na</td><td>12</td><td>Slovakia</td><td>1.46</td><td>27</td><td>never</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI345965</b></td><td>Osl-1</td><td>13</td><td>Oslo, Norway</td><td>0.91</td><td>nd</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI380758</b></td><td>Ard-1</td><td>14</td><td>Ardebil, Iran</td><td>0.9</td><td>nd</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI384810</b></td><td>Ast-1</td><td>15</td><td>Astara, Iran</td><td>0.93</td><td>nd</td><td>8</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI440175</b></td><td>Alm-1</td><td>16</td><td>Almaty, Khazakstan</td><td>0.79</td><td>nd</td><td>5</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI564896</b></td><td>Nov-1</td><td>17</td><td>Novosibirsk, Russia</td><td>1.01</td><td>nd</td><td>5</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI610793</b></td><td>Vlo-1</td><td>18</td><td>Vlore, Albania</td><td>0.97</td><td>nd</td><td>never</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PI636630</b></td><td>Kry-1</td><td>19</td><td>Krym, Ukraine</td><td>0.96</td><td>nd</td><td>8</td><td>[EMPTY_CELL]</td></tr><tr><td><b>W6 23501</b></td><td>na</td><td>20</td><td>Xizang, China</td><td>nd</td><td>nd</td><td>never</td><td>[EMPTY_CELL]</td></tr><tr><td><b>W6 23524</b></td><td>na</td><td>21</td><td>Xizang, China</td><td>0.95</td><td>nd</td><td>never</td><td>[EMPTY_CELL]</td></tr><tr><td><b>W6 23538</b></td><td>na</td><td>22</td><td>Xizang, China</td><td>nd</td><td>nd</td><td>never</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>NPGS accession number</b>\", \"bbox\": [0, 25, 54, 48]}, {\"cell\": \"<b>Inbred line name</b>\", \"bbox\": [63, 25, 98, 48]}, {\"cell\": \"<b>map location<sup>1</sup></b>\", \"bbox\": [112, 36, 156, 48]}, {\"cell\": \"<b>Collection location from NPGS passport data</b>\", \"bbox\": [157, 25, 234, 48]}, {\"cell\": \"<b>C-value (pg/nucleus)</b>\", \"bbox\": [249, 25, 288, 48]}, {\"cell\": \"<b>chromosome number</b>\", \"bbox\": [305, 25, 348, 48]}, {\"cell\": \"<b>time to flowering<sup>3</sup> (weeks)</b>\", \"bbox\": [371, 25, 426, 48]}, {\"cell\": \"<b>maximum inflorescence height (cm)</b>\", \"bbox\": [429, 14, 494, 48]}, {\"cell\": \"<b>PI172383</b>\", \"bbox\": [1, 48, 30, 59]}, {\"cell\": \"Sin-1\", \"bbox\": [63, 48, 80, 59]}, {\"cell\": \"1\", \"bbox\": [112, 48, 118, 59]}, {\"cell\": \"Sinop, Turkey\", \"bbox\": [157, 48, 199, 59]}, {\"cell\": \"0.91\", \"bbox\": [249, 48, 264, 59]}, {\"cell\": \"nd\", \"bbox\": [305, 48, 315, 59]}, {\"cell\": \"never\", \"bbox\": [371, 48, 389, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 48, 438, 59]}, {\"cell\": \"<b>PI204863</b>\", \"bbox\": [1, 59, 30, 70]}, {\"cell\": \"Zig-1\", \"bbox\": [63, 59, 80, 70]}, {\"cell\": \"2\", \"bbox\": [112, 59, 118, 70]}, {\"cell\": \"Zigana, Turkey\", \"bbox\": [157, 59, 203, 70]}, {\"cell\": \"1.07\", \"bbox\": [249, 59, 264, 70]}, {\"cell\": \"nd\", \"bbox\": [305, 59, 315, 70]}, {\"cell\": \"5\", \"bbox\": [371, 59, 377, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 59, 438, 70]}, {\"cell\": \"<b>PI204865</b>\", \"bbox\": [1, 70, 30, 81]}, {\"cell\": \"Tra-1\", \"bbox\": [63, 70, 80, 81]}, {\"cell\": \"3\", \"bbox\": [112, 70, 118, 81]}, {\"cell\": \"Trabzon, Turkey\", \"bbox\": [157, 70, 207, 81]}, {\"cell\": \"1.05\", \"bbox\": [249, 70, 264, 81]}, {\"cell\": \"nd\", \"bbox\": [305, 70, 315, 81]}, {\"cell\": \"8\", \"bbox\": [371, 70, 377, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 70, 438, 81]}, {\"cell\": \"<b>PI206546</b>\", \"bbox\": [1, 81, 30, 92]}, {\"cell\": \"na\", \"bbox\": [63, 81, 72, 92]}, {\"cell\": \"4\", \"bbox\": [112, 81, 118, 92]}, {\"cell\": \"Greece\", \"bbox\": [157, 81, 181, 92]}, {\"cell\": \"1.61 1.48\", \"bbox\": [249, 81, 278, 92]}, {\"cell\": \"27\", \"bbox\": [305, 81, 315, 92]}, {\"cell\": \"never\", \"bbox\": [371, 81, 389, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 81, 438, 92]}, {\"cell\": \"<b>PI206619</b>\", \"bbox\": [1, 92, 30, 103]}, {\"cell\": \"na\", \"bbox\": [63, 92, 72, 103]}, {\"cell\": \"5\", \"bbox\": [112, 92, 118, 103]}, {\"cell\": \"Samsun, Turkey\", \"bbox\": [157, 92, 207, 103]}, {\"cell\": \"1.49\", \"bbox\": [249, 92, 264, 103]}, {\"cell\": \"nd\", \"bbox\": [305, 92, 315, 103]}, {\"cell\": \"never\", \"bbox\": [371, 92, 389, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 92, 438, 103]}, {\"cell\": \"<b>PI251102</b>\", \"bbox\": [1, 103, 30, 114]}, {\"cell\": \"Vel-1\", \"bbox\": [63, 103, 80, 114]}, {\"cell\": \"6\", \"bbox\": [112, 103, 118, 114]}, {\"cell\": \"Veles, Macedonia\", \"bbox\": [157, 103, 211, 114]}, {\"cell\": \"1\", \"bbox\": [249, 103, 255, 114]}, {\"cell\": \"nd\", \"bbox\": [305, 103, 315, 114]}, {\"cell\": \"6\", \"bbox\": [371, 103, 377, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 103, 438, 114]}, {\"cell\": \"<b>PI268222</b>\", \"bbox\": [1, 114, 30, 125]}, {\"cell\": \"Gor-1\", \"bbox\": [63, 114, 82, 125]}, {\"cell\": \"7\", \"bbox\": [112, 114, 118, 125]}, {\"cell\": \"Gorgan, Iran\", \"bbox\": [157, 114, 196, 125]}, {\"cell\": \"1.02 0.92\", \"bbox\": [249, 114, 278, 125]}, {\"cell\": \"nd\", \"bbox\": [305, 114, 315, 125]}, {\"cell\": \"10\", \"bbox\": [371, 114, 380, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 114, 438, 125]}, {\"cell\": \"<b>PI269842</b>\", \"bbox\": [1, 125, 30, 136]}, {\"cell\": \"Ain-1\", \"bbox\": [63, 125, 80, 136]}, {\"cell\": \"8\", \"bbox\": [112, 125, 118, 136]}, {\"cell\": \"Ain Draham, Tunisia\", \"bbox\": [157, 125, 218, 136]}, {\"cell\": \"0.96 0.95\", \"bbox\": [249, 125, 278, 136]}, {\"cell\": \"18\", \"bbox\": [305, 125, 315, 136]}, {\"cell\": \"9\", \"bbox\": [371, 125, 377, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 125, 442, 136]}, {\"cell\": \"<b>PI287787</b>\", \"bbox\": [1, 136, 30, 147]}, {\"cell\": \"na\", \"bbox\": [63, 136, 72, 147]}, {\"cell\": \"9\", \"bbox\": [112, 136, 118, 147]}, {\"cell\": \"Toledo Province, Spain\", \"bbox\": [157, 136, 227, 147]}, {\"cell\": \"2.1\", \"bbox\": [249, 136, 260, 147]}, {\"cell\": \"36\", \"bbox\": [305, 136, 315, 147]}, {\"cell\": \"never\", \"bbox\": [371, 136, 389, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 136, 438, 147]}, {\"cell\": \"<b>PI297868</b>\", \"bbox\": [1, 147, 30, 158]}, {\"cell\": \"Aus-1\", \"bbox\": [63, 147, 82, 158]}, {\"cell\": \"na<sup>2</sup>\", \"bbox\": [112, 147, 123, 158]}, {\"cell\": \"Australia<sup>2</sup>\", \"bbox\": [157, 147, 186, 158]}, {\"cell\": \"0.98\", \"bbox\": [249, 147, 264, 158]}, {\"cell\": \"18\", \"bbox\": [305, 147, 315, 158]}, {\"cell\": \"8\", \"bbox\": [371, 147, 377, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 147, 442, 158]}, {\"cell\": \"<b>PI318962</b>\", \"bbox\": [1, 158, 30, 169]}, {\"cell\": \"Can-1\", \"bbox\": [63, 158, 83, 169]}, {\"cell\": \"10\", \"bbox\": [112, 158, 122, 169]}, {\"cell\": \"Candeleda, Spain\", \"bbox\": [157, 158, 211, 169]}, {\"cell\": \"1.02\", \"bbox\": [249, 158, 264, 169]}, {\"cell\": \"nd\", \"bbox\": [305, 158, 315, 169]}, {\"cell\": \"8\", \"bbox\": [371, 158, 377, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 158, 442, 169]}, {\"cell\": \"<b>PI325218</b>\", \"bbox\": [1, 169, 30, 180]}, {\"cell\": \"na\", \"bbox\": [63, 169, 72, 180]}, {\"cell\": \"11\", \"bbox\": [112, 169, 122, 180]}, {\"cell\": \"Stavropol, Russia\", \"bbox\": [157, 169, 210, 180]}, {\"cell\": \"0.85\", \"bbox\": [249, 169, 264, 180]}, {\"cell\": \"nd\", \"bbox\": [305, 169, 315, 180]}, {\"cell\": \"never\", \"bbox\": [371, 169, 389, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 169, 438, 180]}, {\"cell\": \"<b>PI344569</b>\", \"bbox\": [1, 180, 30, 191]}, {\"cell\": \"na\", \"bbox\": [63, 180, 72, 191]}, {\"cell\": \"12\", \"bbox\": [112, 180, 122, 191]}, {\"cell\": \"Slovakia\", \"bbox\": [157, 180, 184, 191]}, {\"cell\": \"1.46\", \"bbox\": [249, 180, 264, 191]}, {\"cell\": \"27\", \"bbox\": [305, 180, 315, 191]}, {\"cell\": \"never\", \"bbox\": [371, 180, 389, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 180, 438, 191]}, {\"cell\": \"<b>PI345965</b>\", \"bbox\": [1, 191, 30, 202]}, {\"cell\": \"Osl-1\", \"bbox\": [63, 191, 80, 202]}, {\"cell\": \"13\", \"bbox\": [112, 191, 122, 202]}, {\"cell\": \"Oslo, Norway\", \"bbox\": [157, 191, 198, 202]}, {\"cell\": \"0.91\", \"bbox\": [249, 191, 264, 202]}, {\"cell\": \"nd\", \"bbox\": [305, 191, 315, 202]}, {\"cell\": \"9\", \"bbox\": [371, 191, 377, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 191, 438, 202]}, {\"cell\": \"<b>PI380758</b>\", \"bbox\": [1, 202, 30, 213]}, {\"cell\": \"Ard-1\", \"bbox\": [63, 202, 81, 213]}, {\"cell\": \"14\", \"bbox\": [112, 202, 122, 213]}, {\"cell\": \"Ardebil, Iran\", \"bbox\": [157, 202, 194, 213]}, {\"cell\": \"0.9\", \"bbox\": [249, 202, 260, 213]}, {\"cell\": \"nd\", \"bbox\": [305, 202, 315, 213]}, {\"cell\": \"9\", \"bbox\": [371, 202, 377, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 202, 442, 213]}, {\"cell\": \"<b>PI384810</b>\", \"bbox\": [1, 213, 30, 224]}, {\"cell\": \"Ast-1\", \"bbox\": [63, 213, 80, 224]}, {\"cell\": \"15\", \"bbox\": [112, 213, 122, 224]}, {\"cell\": \"Astara, Iran\", \"bbox\": [157, 213, 193, 224]}, {\"cell\": \"0.93\", \"bbox\": [249, 213, 264, 224]}, {\"cell\": \"nd\", \"bbox\": [305, 213, 315, 224]}, {\"cell\": \"8\", \"bbox\": [371, 213, 377, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 213, 442, 224]}, {\"cell\": \"<b>PI440175</b>\", \"bbox\": [1, 224, 30, 235]}, {\"cell\": \"Alm-1\", \"bbox\": [63, 224, 82, 235]}, {\"cell\": \"16\", \"bbox\": [112, 224, 122, 235]}, {\"cell\": \"Almaty, Khazakstan\", \"bbox\": [157, 224, 217, 235]}, {\"cell\": \"0.79\", \"bbox\": [249, 224, 264, 235]}, {\"cell\": \"nd\", \"bbox\": [305, 224, 315, 235]}, {\"cell\": \"5\", \"bbox\": [371, 224, 377, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 224, 438, 235]}, {\"cell\": \"<b>PI564896</b>\", \"bbox\": [1, 235, 30, 246]}, {\"cell\": \"Nov-1\", \"bbox\": [63, 235, 82, 246]}, {\"cell\": \"17\", \"bbox\": [112, 235, 122, 246]}, {\"cell\": \"Novosibirsk, Russia\", \"bbox\": [157, 235, 216, 246]}, {\"cell\": \"1.01\", \"bbox\": [249, 235, 264, 246]}, {\"cell\": \"nd\", \"bbox\": [305, 235, 315, 246]}, {\"cell\": \"5\", \"bbox\": [371, 235, 377, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 235, 438, 246]}, {\"cell\": \"<b>PI610793</b>\", \"bbox\": [1, 246, 30, 257]}, {\"cell\": \"Vlo-1\", \"bbox\": [63, 246, 80, 257]}, {\"cell\": \"18\", \"bbox\": [112, 246, 122, 257]}, {\"cell\": \"Vlore, Albania\", \"bbox\": [157, 246, 200, 257]}, {\"cell\": \"0.97\", \"bbox\": [249, 246, 264, 257]}, {\"cell\": \"nd\", \"bbox\": [305, 246, 315, 257]}, {\"cell\": \"never\", \"bbox\": [371, 246, 389, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 246, 442, 257]}, {\"cell\": \"<b>PI636630</b>\", \"bbox\": [1, 257, 30, 268]}, {\"cell\": \"Kry-1\", \"bbox\": [63, 257, 80, 268]}, {\"cell\": \"19\", \"bbox\": [112, 257, 122, 268]}, {\"cell\": \"Krym, Ukraine\", \"bbox\": [157, 257, 200, 268]}, {\"cell\": \"0.96\", \"bbox\": [249, 257, 264, 268]}, {\"cell\": \"nd\", \"bbox\": [305, 257, 315, 268]}, {\"cell\": \"8\", \"bbox\": [371, 257, 377, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 257, 442, 268]}, {\"cell\": \"<b>W6 23501</b>\", \"bbox\": [1, 268, 32, 279]}, {\"cell\": \"na\", \"bbox\": [63, 268, 72, 279]}, {\"cell\": \"20\", \"bbox\": [112, 268, 122, 279]}, {\"cell\": \"Xizang, China\", \"bbox\": [157, 268, 200, 279]}, {\"cell\": \"nd\", \"bbox\": [249, 268, 258, 279]}, {\"cell\": \"nd\", \"bbox\": [305, 268, 315, 279]}, {\"cell\": \"never\", \"bbox\": [371, 268, 389, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 268, 438, 279]}, {\"cell\": \"<b>W6 23524</b>\", \"bbox\": [1, 279, 32, 290]}, {\"cell\": \"na\", \"bbox\": [63, 279, 72, 290]}, {\"cell\": \"21\", \"bbox\": [112, 279, 122, 290]}, {\"cell\": \"Xizang, China\", \"bbox\": [157, 279, 200, 290]}, {\"cell\": \"0.95\", \"bbox\": [249, 279, 264, 290]}, {\"cell\": \"nd\", \"bbox\": [305, 279, 315, 290]}, {\"cell\": \"never\", \"bbox\": [371, 279, 389, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 279, 438, 290]}, {\"cell\": \"<b>W6 23538</b>\", \"bbox\": [1, 290, 32, 301]}, {\"cell\": \"na\", \"bbox\": [63, 290, 72, 301]}, {\"cell\": \"22\", \"bbox\": [112, 290, 122, 301]}, {\"cell\": \"Xizang, China\", \"bbox\": [157, 290, 200, 301]}, {\"cell\": \"nd\", \"bbox\": [249, 290, 258, 301]}, {\"cell\": \"nd\", \"bbox\": [305, 290, 315, 301]}, {\"cell\": \"never\", \"bbox\": [371, 290, 389, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [429, 290, 438, 301]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3779173_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}534{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Guinier</b></td><td colspan=\\\"4\\\"><b>GNOM</b></td></tr><tr><td><b>Sample</b></td><td><b>Conc.<sup>a</sup> (ng/μl)</b></td><td><b>q<i>R</i><sub>g</sub></b></td><td><b><i>R</i><sub>g</sub> (Å)</b></td><td><b>I(0) (a.u.)</b></td><td><b>q<sup>b</sup></b></td><td><b><i>R</i><sub>g</sub> (Å)</b></td><td><b>I(0)</b></td><td><b><i>D</i><sub>max</sub> (Å)</b></td></tr></thead><tbody><tr><td>APS BioCAT</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>+A Group II Intron</td><td>100</td><td>[EMPTY_CELL]</td><td>73.5 ± 0.8</td><td>324.0 ± 3.0</td><td>0.006–0.37</td><td>74.9</td><td>326.2</td><td>250</td></tr><tr><td>[EMPTY_CELL]</td><td>50</td><td>[EMPTY_CELL]</td><td>75.3 ± 0.9</td><td>139.0 ± 1.0</td><td>0.006–0.37</td><td>72.7</td><td>133.0</td><td>225</td></tr><tr><td>[EMPTY_CELL]</td><td>40</td><td>[EMPTY_CELL]</td><td>73.0 ± 1.0</td><td>120.2 ± 1.0</td><td>0.006–0.31</td><td>72.4</td><td>116.0</td><td>225</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Inf. dil.</i></td><td>[EMPTY_CELL]</td><td>73.3 ± 0.9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>73.3</td><td>[EMPTY_CELL]</td><td>235</td></tr><tr><td>NSLS X9</td></tr><tr><td>+A Group II Intron (DII-tRNA)</td><td>100</td><td>[EMPTY_CELL]</td><td>87.3 ± 1.2</td><td>131.7 ± 2.1</td><td>0.010–0.25</td><td>95.1</td><td>125.0</td><td>284</td></tr><tr><td>CHESS F2<sup>c</sup></td></tr><tr><td>+A Group II Intron</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>0% Sucrose</td><td>40</td><td>[EMPTY_CELL]</td><td>71.2 ± 4.4</td><td>0.53 ± 0.03</td><td>0.0097–0.15</td><td>70.7</td><td>0.52</td><td>235</td></tr><tr><td>16.5% Sucrose</td><td>60</td><td>[EMPTY_CELL]</td><td>86.6 ± 3.9</td><td>0.70 ± 0.04</td><td>0.0097–0.15</td><td>83.8</td><td>0.64</td><td>235</td></tr><tr><td>32.5% Sucrose</td><td>50</td><td>[EMPTY_CELL]</td><td>105.8 ± 8.3</td><td>0.52 ± 0.06</td><td>0.0097–0.10</td><td>92.9</td><td>0.42</td><td>235</td></tr><tr><td>48.8% Sucrose</td><td>100</td><td>[EMPTY_CELL]</td><td>115.2 ± 5.6</td><td>0.87 ± 0.07</td><td>-n.d.-</td><td>-n.d.-</td><td>-n.d.-</td><td>[EMPTY_CELL]</td></tr><tr><td>65% Sucrose</td><td>50</td><td>[EMPTY_CELL]</td><td>118.6 ± 11.8</td><td>0.41 ± 0.07</td><td>-n.d.-</td><td>-n.d.-</td><td>-n.d.-</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Guinier</b>\", \"bbox\": [226, 7, 255, 16]}, {\"cell\": \"<b>GNOM</b>\", \"bbox\": [413, 7, 442, 16]}, {\"cell\": \"<b>Sample</b>\", \"bbox\": [2, 25, 29, 34]}, {\"cell\": \"<b>Conc.<sup>a</sup> (ng/μl)</b>\", \"bbox\": [93, 23, 144, 34]}, {\"cell\": \"<b>q<i>R</i><sub>g</sub></b>\", \"bbox\": [161, 25, 177, 35]}, {\"cell\": \"<b><i>R</i><sub>g</sub> (Å)</b>\", \"bbox\": [209, 23, 234, 35]}, {\"cell\": \"<b>I(0) (a.u.)</b>\", \"bbox\": [271, 25, 306, 34]}, {\"cell\": \"<b>q<sup>b</sup></b>\", \"bbox\": [337, 23, 346, 34]}, {\"cell\": \"<b><i>R</i><sub>g</sub> (Å)</b>\", \"bbox\": [399, 23, 425, 35]}, {\"cell\": \"<b>I(0)</b>\", \"bbox\": [442, 25, 456, 34]}, {\"cell\": \"<b><i>D</i><sub>max</sub> (Å)</b>\", \"bbox\": [484, 23, 518, 35]}, {\"cell\": \"APS BioCAT\", \"bbox\": [2, 43, 51, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"+A Group II Intron\", \"bbox\": [0, 52, 76, 62]}, {\"cell\": \"100\", \"bbox\": [93, 52, 107, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 52, 192, 62]}, {\"cell\": \"73.5 ± 0.8\", \"bbox\": [213, 52, 250, 62]}, {\"cell\": \"324.0 ± 3.0\", \"bbox\": [271, 52, 312, 62]}, {\"cell\": \"0.006–0.37\", \"bbox\": [340, 52, 378, 62]}, {\"cell\": \"74.9\", \"bbox\": [399, 52, 415, 62]}, {\"cell\": \"326.2\", \"bbox\": [442, 52, 462, 62]}, {\"cell\": \"250\", \"bbox\": [484, 52, 498, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [97, 61, 107, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 61, 192, 71]}, {\"cell\": \"75.3 ± 0.9\", \"bbox\": [213, 61, 250, 71]}, {\"cell\": \"139.0 ± 1.0\", \"bbox\": [271, 61, 312, 71]}, {\"cell\": \"0.006–0.37\", \"bbox\": [340, 61, 378, 71]}, {\"cell\": \"72.7\", \"bbox\": [399, 61, 415, 71]}, {\"cell\": \"133.0\", \"bbox\": [442, 61, 462, 71]}, {\"cell\": \"225\", \"bbox\": [484, 61, 498, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [97, 70, 107, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 70, 192, 80]}, {\"cell\": \"73.0 ± 1.0\", \"bbox\": [213, 70, 250, 80]}, {\"cell\": \"120.2 ± 1.0\", \"bbox\": [271, 70, 312, 80]}, {\"cell\": \"0.006–0.31\", \"bbox\": [340, 70, 378, 80]}, {\"cell\": \"72.4\", \"bbox\": [399, 70, 415, 80]}, {\"cell\": \"116.0\", \"bbox\": [442, 70, 462, 80]}, {\"cell\": \"225\", \"bbox\": [484, 70, 498, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Inf. dil.</i>\", \"bbox\": [93, 79, 120, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 79, 192, 89]}, {\"cell\": \"73.3 ± 0.9\", \"bbox\": [213, 79, 250, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"73.3\", \"bbox\": [399, 79, 415, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"235\", \"bbox\": [484, 79, 498, 89]}, {\"cell\": \"NSLS X9\", \"bbox\": [2, 88, 38, 98]}, {\"cell\": \"+A Group II Intron (DII-tRNA)\", \"bbox\": [1, 97, 76, 115]}, {\"cell\": \"100\", \"bbox\": [93, 97, 107, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 97, 188, 107]}, {\"cell\": \"87.3 ± 1.2\", \"bbox\": [213, 97, 250, 107]}, {\"cell\": \"131.7 ± 2.1\", \"bbox\": [271, 97, 312, 107]}, {\"cell\": \"0.010–0.25\", \"bbox\": [340, 97, 378, 107]}, {\"cell\": \"95.1\", \"bbox\": [399, 97, 415, 107]}, {\"cell\": \"125.0\", \"bbox\": [442, 97, 462, 107]}, {\"cell\": \"284\", \"bbox\": [484, 97, 498, 107]}, {\"cell\": \"CHESS F2<sup>c</sup>\", \"bbox\": [2, 119, 45, 130]}, {\"cell\": \"+A Group II Intron\", \"bbox\": [1, 130, 76, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0% Sucrose\", \"bbox\": [2, 139, 45, 148]}, {\"cell\": \"40\", \"bbox\": [97, 139, 107, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 139, 192, 148]}, {\"cell\": \"71.2 ± 4.4\", \"bbox\": [213, 139, 250, 148]}, {\"cell\": \"0.53 ± 0.03\", \"bbox\": [279, 139, 320, 148]}, {\"cell\": \"0.0097–0.15\", \"bbox\": [340, 139, 382, 148]}, {\"cell\": \"70.7\", \"bbox\": [399, 139, 415, 148]}, {\"cell\": \"0.52\", \"bbox\": [450, 139, 466, 148]}, {\"cell\": \"235\", \"bbox\": [484, 139, 498, 148]}, {\"cell\": \"16.5% Sucrose\", \"bbox\": [2, 148, 55, 157]}, {\"cell\": \"60\", \"bbox\": [97, 148, 107, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 148, 192, 157]}, {\"cell\": \"86.6 ± 3.9\", \"bbox\": [213, 148, 250, 157]}, {\"cell\": \"0.70 ± 0.04\", \"bbox\": [279, 148, 320, 157]}, {\"cell\": \"0.0097–0.15\", \"bbox\": [340, 148, 382, 157]}, {\"cell\": \"83.8\", \"bbox\": [399, 148, 415, 157]}, {\"cell\": \"0.64\", \"bbox\": [450, 148, 466, 157]}, {\"cell\": \"235\", \"bbox\": [484, 148, 498, 157]}, {\"cell\": \"32.5% Sucrose\", \"bbox\": [2, 157, 55, 166]}, {\"cell\": \"50\", \"bbox\": [97, 157, 107, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 157, 192, 166]}, {\"cell\": \"105.8 ± 8.3\", \"bbox\": [209, 157, 250, 166]}, {\"cell\": \"0.52 ± 0.06\", \"bbox\": [279, 157, 320, 166]}, {\"cell\": \"0.0097–0.10\", \"bbox\": [340, 157, 382, 166]}, {\"cell\": \"92.9\", \"bbox\": [399, 157, 415, 166]}, {\"cell\": \"0.42\", \"bbox\": [450, 157, 466, 166]}, {\"cell\": \"235\", \"bbox\": [484, 157, 498, 166]}, {\"cell\": \"48.8% Sucrose\", \"bbox\": [2, 166, 55, 175]}, {\"cell\": \"100\", \"bbox\": [93, 166, 107, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 166, 192, 175]}, {\"cell\": \"115.2 ± 5.6\", \"bbox\": [209, 166, 250, 175]}, {\"cell\": \"0.87 ± 0.07\", \"bbox\": [279, 166, 320, 175]}, {\"cell\": \"-n.d.-\", \"bbox\": [337, 166, 357, 175]}, {\"cell\": \"-n.d.-\", \"bbox\": [400, 166, 421, 175]}, {\"cell\": \"-n.d.-\", \"bbox\": [447, 166, 467, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"65% Sucrose\", \"bbox\": [2, 175, 49, 184]}, {\"cell\": \"50\", \"bbox\": [97, 175, 107, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 175, 192, 184]}, {\"cell\": \"118.6 ± 11.8\", \"bbox\": [209, 175, 254, 184]}, {\"cell\": \"0.41 ± 0.07\", \"bbox\": [279, 175, 320, 184]}, {\"cell\": \"-n.d.-\", \"bbox\": [337, 175, 357, 184]}, {\"cell\": \"-n.d.-\", \"bbox\": [400, 175, 421, 184]}, {\"cell\": \"-n.d.-\", \"bbox\": [447, 175, 467, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4005650_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}535{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Factor</b></td><td><b>LCNEC (<i>n</i> = 70)</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>52 (72 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>18 (28 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>63 years (41–81)</td></tr><tr><td>[EMPTY_CELL]</td><td>20 (29 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>50 (71 %)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9/10</td></tr><tr><td>[EMPTY_CELL]</td><td>15/9</td></tr><tr><td>[EMPTY_CELL]</td><td>18/2</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td></tr><tr><td>[EMPTY_CELL]</td><td>66 (94 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>65 (93 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (6 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>53 (81 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (5 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>5 (8 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>36 (51 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (6 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>32 (46 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>14 (20 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>17 (24 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (6 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>10 (14 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (4 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>17 (24 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>7 (10 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (3 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>6 (9 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (3 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>3 (4 %)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Factor</b>\", \"bbox\": [0, 5, 24, 13]}, {\"cell\": \"<b>LCNEC (<i>n</i> = 70)</b>\", \"bbox\": [182, 5, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 22, 14, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 34, 23, 44]}, {\"cell\": \"52 (72 %)\", \"bbox\": [182, 34, 214, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 46, 30, 56]}, {\"cell\": \"18 (28 %)\", \"bbox\": [182, 46, 214, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 65, 68]}, {\"cell\": \"63 years (41–81)\", \"bbox\": [182, 58, 236, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 71, 50, 80]}, {\"cell\": \"20 (29 %)\", \"bbox\": [182, 71, 214, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 83, 91, 92]}, {\"cell\": \"50 (71 %)\", \"bbox\": [182, 83, 214, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 95, 95, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 107, 22, 116]}, {\"cell\": \"9/10\", \"bbox\": [182, 107, 199, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 119, 26, 128]}, {\"cell\": \"15/9\", \"bbox\": [182, 119, 199, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 131, 29, 141]}, {\"cell\": \"18/2\", \"bbox\": [182, 131, 199, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 143, 30, 153]}, {\"cell\": \"7\", \"bbox\": [182, 143, 188, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 55, 165]}, {\"cell\": \"66 (94 %)\", \"bbox\": [182, 155, 214, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 167, 31, 177]}, {\"cell\": \"65 (93 %)\", \"bbox\": [182, 167, 214, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 179, 67, 189]}, {\"cell\": \"4 (6 %)\", \"bbox\": [182, 179, 206, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 192, 49, 201]}, {\"cell\": \"53 (81 %)\", \"bbox\": [182, 192, 214, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 204, 53, 213]}, {\"cell\": \"3 (5 %)\", \"bbox\": [182, 204, 206, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 216, 69, 225]}, {\"cell\": \"5 (8 %)\", \"bbox\": [182, 216, 206, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 228, 51, 237]}, {\"cell\": \"36 (51 %)\", \"bbox\": [182, 228, 214, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 240, 38, 249]}, {\"cell\": \"4 (6 %)\", \"bbox\": [182, 240, 206, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 252, 36, 262]}, {\"cell\": \"32 (46 %)\", \"bbox\": [182, 252, 214, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 264, 62, 274]}, {\"cell\": \"14 (20 %)\", \"bbox\": [182, 264, 214, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 276, 72, 286]}, {\"cell\": \"17 (24 %)\", \"bbox\": [182, 276, 214, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 288, 38, 298]}, {\"cell\": \"4 (6 %)\", \"bbox\": [182, 288, 206, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 300, 65, 310]}, {\"cell\": \"10 (14 %)\", \"bbox\": [182, 300, 214, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 312, 62, 322]}, {\"cell\": \"3 (4 %)\", \"bbox\": [182, 312, 206, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 110, 334]}, {\"cell\": \"17 (24 %)\", \"bbox\": [182, 325, 214, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 337, 38, 346]}, {\"cell\": \"7 (10 %)\", \"bbox\": [182, 337, 210, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 349, 79, 358]}, {\"cell\": \"2 (3 %)\", \"bbox\": [182, 349, 206, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 361, 80, 370]}, {\"cell\": \"6 (9 %)\", \"bbox\": [182, 361, 206, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 373, 72, 383]}, {\"cell\": \"2 (3 %)\", \"bbox\": [182, 373, 206, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 385, 115, 395]}, {\"cell\": \"3 (4 %)\", \"bbox\": [182, 385, 206, 395]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4536693_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}536{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Casualty room</b></td><td colspan=\\\"2\\\"><b>Emergency department</b></td></tr><tr><td colspan=\\\"2\\\"><b>Jan. 2008 to Dec. 2009</b></td><td colspan=\\\"2\\\"><b>Feb. 2010 to Jan. 2012</b></td></tr><tr><td><b>Cause of death</b></td><td><b>Number of death (%)</b></td><td><b>Cause of death</b></td><td><b>Number of death (%)</b></td></tr></thead><tbody><tr><td>LRTI</td><td>26 (14.1)</td><td>[EMPTY_CELL]</td><td>116 (20.4)</td></tr><tr><td>CCF</td><td>21 (11.4)</td><td>[EMPTY_CELL]</td><td>71 (12.5)</td></tr><tr><td>HIV</td><td>19 (10.3)</td><td>[EMPTY_CELL]</td><td>56 (9.9)</td></tr><tr><td>Malaria</td><td>17 (9.2)</td><td>[EMPTY_CELL]</td><td>51 (9.0)</td></tr><tr><td>Septicemia</td><td>16 (8.7)</td><td>[EMPTY_CELL]</td><td>47 (8.3)</td></tr><tr><td>Diarrhea disease</td><td>14 (7.6)</td><td>[EMPTY_CELL]</td><td>38 (6.7)</td></tr><tr><td>Diabetic coma</td><td>13 (7.0)</td><td>[EMPTY_CELL]</td><td>32 (5.6)</td></tr><tr><td>CVA</td><td>12 (6.5)</td><td>[EMPTY_CELL]</td><td>30 (5.3)</td></tr><tr><td>Neoplasm</td><td>11 (6.0)</td><td>[EMPTY_CELL]</td><td>29 (5.1)</td></tr><tr><td>TB</td><td>10 (5.4)</td><td>[EMPTY_CELL]</td><td>23 (4.0)</td></tr><tr><td>Renal failure</td><td>9 (4.9)</td><td>[EMPTY_CELL]</td><td>20 (3.5)</td></tr><tr><td>Upper GI bleeding</td><td>7 (3.8)</td><td>[EMPTY_CELL]</td><td>17 (3.0)</td></tr><tr><td>Trauma (non-RTA)</td><td>6 (3.2)</td><td>[EMPTY_CELL]</td><td>15 (2.6)</td></tr><tr><td>RTA</td><td>2 (1.1)</td><td>[EMPTY_CELL]</td><td>14 (2.5)</td></tr><tr><td>Poisoning</td><td>2 (1.1)</td><td>[EMPTY_CELL]</td><td>9 (1.6)</td></tr><tr><td>Total</td><td>185</td><td>[EMPTY_CELL]</td><td>568</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Casualty room</b>\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"<b>Emergency department</b>\", \"bbox\": [279, 4, 357, 13]}, {\"cell\": \"<b>Jan. 2008 to Dec. 2009</b>\", \"bbox\": [1, 17, 75, 27]}, {\"cell\": \"<b>Feb. 2010 to Jan. 2012</b>\", \"bbox\": [279, 17, 353, 27]}, {\"cell\": \"<b>Cause of death</b>\", \"bbox\": [1, 30, 51, 40]}, {\"cell\": \"<b>Number of death (%)</b>\", \"bbox\": [136, 30, 206, 40]}, {\"cell\": \"<b>Cause of death</b>\", \"bbox\": [279, 30, 330, 40]}, {\"cell\": \"<b>Number of death (%)</b>\", \"bbox\": [414, 30, 484, 40]}, {\"cell\": \"LRTI\", \"bbox\": [1, 43, 15, 53]}, {\"cell\": \"26 (14.1)\", \"bbox\": [136, 43, 165, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 43, 294, 53]}, {\"cell\": \"116 (20.4)\", \"bbox\": [414, 43, 447, 53]}, {\"cell\": \"CCF\", \"bbox\": [1, 57, 15, 67]}, {\"cell\": \"21 (11.4)\", \"bbox\": [136, 57, 165, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 57, 294, 67]}, {\"cell\": \"71 (12.5)\", \"bbox\": [414, 57, 443, 67]}, {\"cell\": \"HIV\", \"bbox\": [1, 71, 13, 81]}, {\"cell\": \"19 (10.3)\", \"bbox\": [136, 71, 165, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 71, 292, 81]}, {\"cell\": \"56 (9.9)\", \"bbox\": [414, 71, 440, 81]}, {\"cell\": \"Malaria\", \"bbox\": [1, 85, 25, 95]}, {\"cell\": \"17 (9.2)\", \"bbox\": [136, 85, 161, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 85, 294, 95]}, {\"cell\": \"51 (9.0)\", \"bbox\": [414, 85, 440, 95]}, {\"cell\": \"Septicemia\", \"bbox\": [1, 99, 37, 109]}, {\"cell\": \"16 (8.7)\", \"bbox\": [136, 99, 161, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 99, 339, 109]}, {\"cell\": \"47 (8.3)\", \"bbox\": [414, 99, 440, 109]}, {\"cell\": \"Diarrhea disease\", \"bbox\": [1, 113, 55, 123]}, {\"cell\": \"14 (7.6)\", \"bbox\": [136, 113, 161, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 113, 304, 123]}, {\"cell\": \"38 (6.7)\", \"bbox\": [414, 113, 440, 123]}, {\"cell\": \"Diabetic coma\", \"bbox\": [1, 127, 49, 137]}, {\"cell\": \"13 (7.0)\", \"bbox\": [136, 127, 161, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 127, 294, 137]}, {\"cell\": \"32 (5.6)\", \"bbox\": [414, 127, 440, 137]}, {\"cell\": \"CVA\", \"bbox\": [1, 141, 16, 151]}, {\"cell\": \"12 (6.5)\", \"bbox\": [136, 141, 161, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 141, 341, 151]}, {\"cell\": \"30 (5.3)\", \"bbox\": [414, 141, 440, 151]}, {\"cell\": \"Neoplasm\", \"bbox\": [1, 155, 35, 165]}, {\"cell\": \"11 (6.0)\", \"bbox\": [136, 155, 161, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 155, 328, 165]}, {\"cell\": \"29 (5.1)\", \"bbox\": [414, 155, 440, 165]}, {\"cell\": \"TB\", \"bbox\": [1, 169, 10, 179]}, {\"cell\": \"10 (5.4)\", \"bbox\": [136, 169, 161, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 169, 289, 179]}, {\"cell\": \"23 (4.0)\", \"bbox\": [414, 169, 440, 179]}, {\"cell\": \"Renal failure\", \"bbox\": [1, 183, 41, 193]}, {\"cell\": \"9 (4.9)\", \"bbox\": [136, 183, 157, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 183, 320, 193]}, {\"cell\": \"20 (3.5)\", \"bbox\": [414, 183, 440, 193]}, {\"cell\": \"Upper GI bleeding\", \"bbox\": [1, 197, 62, 207]}, {\"cell\": \"7 (3.8)\", \"bbox\": [136, 197, 157, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 197, 316, 207]}, {\"cell\": \"17 (3.0)\", \"bbox\": [414, 197, 440, 207]}, {\"cell\": \"Trauma (non-RTA)\", \"bbox\": [1, 211, 60, 221]}, {\"cell\": \"6 (3.2)\", \"bbox\": [136, 211, 157, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 211, 314, 221]}, {\"cell\": \"15 (2.6)\", \"bbox\": [414, 211, 440, 221]}, {\"cell\": \"RTA\", \"bbox\": [1, 225, 15, 235]}, {\"cell\": \"2 (1.1)\", \"bbox\": [136, 225, 157, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 225, 322, 235]}, {\"cell\": \"14 (2.5)\", \"bbox\": [414, 225, 440, 235]}, {\"cell\": \"Poisoning\", \"bbox\": [1, 239, 34, 249]}, {\"cell\": \"2 (1.1)\", \"bbox\": [136, 239, 157, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 239, 313, 249]}, {\"cell\": \"9 (1.6)\", \"bbox\": [414, 239, 436, 249]}, {\"cell\": \"Total\", \"bbox\": [1, 253, 18, 263]}, {\"cell\": \"185\", \"bbox\": [136, 253, 149, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 253, 297, 263]}, {\"cell\": \"568\", \"bbox\": [414, 253, 428, 263]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4510107_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}537{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Univariate analysis</b></td><td colspan=\\\"3\\\"><b>Multivariable analysis</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>HR</b></td><td><b>95% CIs</b></td><td><b><i>p</i> value</b></td><td><b>HR</b></td><td><b>95% CIs</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td>Gender(men versus women)</td><td>1.20</td><td>0.58–2.50</td><td>0.62</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age(each year)</td><td>1.00</td><td>0.98–1.03</td><td>0.70</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Surgery(done versus not done)</td><td>0.42</td><td>0.14–1.24</td><td>0.11</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Radiotherapy(done versus not done)</td><td>0.50</td><td>0.23–1.10</td><td>0.09</td><td>[EMPTY_CELL]</td><td>0.03–0.32</td><td><b><i>0.0003</i></b></td></tr><tr><td>Chemotherapy(done versus not done)</td><td>0.73</td><td>0.33–2.29</td><td>0.79</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>MGMT(each unit increase)</td><td>0.98</td><td>0.97–1.01</td><td>0.22</td><td>[EMPTY_CELL]</td><td>0.94–0.99</td><td><b><i>0.0025</i></b></td></tr><tr><td>MGMT(>19% versus ≤19%)</td><td>0.59</td><td>0.27–1.28</td><td>0.18</td><td>[EMPTY_CELL]</td><td>0.10–0.64</td><td><b><i>0.0045</i></b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Univariate analysis</b>\", \"bbox\": [185, 4, 255, 15]}, {\"cell\": \"<b>Multivariable analysis</b>\", \"bbox\": [378, 4, 458, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>HR</b>\", \"bbox\": [141, 17, 155, 28]}, {\"cell\": \"<b>95% CIs</b>\", \"bbox\": [198, 17, 229, 28]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [271, 14, 299, 29]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [339, 17, 354, 28]}, {\"cell\": \"<b>95% CIs</b>\", \"bbox\": [397, 17, 428, 28]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [470, 14, 499, 29]}, {\"cell\": \"Gender(men versus women)\", \"bbox\": [2, 31, 80, 52]}, {\"cell\": \"1.20\", \"bbox\": [140, 35, 156, 46]}, {\"cell\": \"0.58–2.50\", \"bbox\": [195, 35, 232, 46]}, {\"cell\": \"0.62\", \"bbox\": [276, 35, 293, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age(each year)\", \"bbox\": [2, 54, 44, 75]}, {\"cell\": \"1.00\", \"bbox\": [140, 58, 156, 69]}, {\"cell\": \"0.98–1.03\", \"bbox\": [196, 58, 231, 69]}, {\"cell\": \"0.70\", \"bbox\": [276, 58, 293, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Surgery(done versus not done)\", \"bbox\": [2, 77, 87, 98]}, {\"cell\": \"0.42\", \"bbox\": [139, 81, 156, 92]}, {\"cell\": \"0.14–1.24\", \"bbox\": [197, 81, 231, 92]}, {\"cell\": \"0.11\", \"bbox\": [278, 81, 292, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Radiotherapy(done versus not done)\", \"bbox\": [2, 100, 87, 121]}, {\"cell\": \"0.50\", \"bbox\": [139, 104, 156, 115]}, {\"cell\": \"0.23–1.10\", \"bbox\": [197, 104, 230, 115]}, {\"cell\": \"0.09\", \"bbox\": [276, 104, 294, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 104, 354, 115]}, {\"cell\": \"0.03–0.32\", \"bbox\": [395, 104, 431, 115]}, {\"cell\": \"<b><i>0.0003</i></b>\", \"bbox\": [471, 104, 498, 112]}, {\"cell\": \"Chemotherapy(done versus not done)\", \"bbox\": [2, 122, 87, 144]}, {\"cell\": \"0.73\", \"bbox\": [139, 127, 156, 138]}, {\"cell\": \"0.33–2.29\", \"bbox\": [196, 127, 231, 138]}, {\"cell\": \"0.79\", \"bbox\": [276, 127, 293, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MGMT(each unit increase)\", \"bbox\": [2, 145, 75, 167]}, {\"cell\": \"0.98\", \"bbox\": [139, 150, 156, 160]}, {\"cell\": \"0.97–1.01\", \"bbox\": [197, 150, 230, 160]}, {\"cell\": \"0.22\", \"bbox\": [276, 150, 293, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 150, 355, 160]}, {\"cell\": \"0.94–0.99\", \"bbox\": [394, 150, 431, 160]}, {\"cell\": \"<b><i>0.0025</i></b>\", \"bbox\": [471, 150, 498, 158]}, {\"cell\": \"MGMT(>19% versus ≤19%)\", \"bbox\": [2, 169, 76, 191]}, {\"cell\": \"0.59\", \"bbox\": [139, 173, 156, 184]}, {\"cell\": \"0.27–1.28\", \"bbox\": [196, 173, 231, 184]}, {\"cell\": \"0.18\", \"bbox\": [277, 173, 293, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 173, 355, 184]}, {\"cell\": \"0.10–0.64\", \"bbox\": [395, 173, 431, 184]}, {\"cell\": \"<b><i>0.0045</i></b>\", \"bbox\": [471, 173, 498, 182]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4548097_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}538{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Total (<i>n</i> = 845)</b></td><td><b>Males (<i>n</i> = 503)</b></td><td><b>Females (<i>n</i> = 342)</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>[EMPTY_CELL]</td><td>6.9 ± 1.4</td><td>7.1 ± 1.1</td></tr><tr><td>Birth weight (kg)</td><td>[EMPTY_CELL]</td><td>3.6 ± 0.6</td><td>3.5 ± 0.6</td></tr><tr><td>Birth length (cm)</td><td>[EMPTY_CELL]</td><td>51.2 ± 2.6</td><td>50.4 ± 2.5</td></tr><tr><td>Gestational age (days)</td><td>[EMPTY_CELL]</td><td>279.2 ± 12.6</td><td>278.3 ± 14.0</td></tr><tr><td>WGA (%)</td><td>[EMPTY_CELL]</td><td>−0.8 ± 12.7</td><td>−0.2 ± 13.3</td></tr><tr><td>Height (cm)</td><td>[EMPTY_CELL]</td><td>124.4 ± 10.1</td><td>124.7 ± 8.6</td></tr><tr><td>Weight (kg)</td><td>[EMPTY_CELL]</td><td>24.6 ± 5.6</td><td>24.9 ± 4.9</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>[EMPTY_CELL]</td><td>15.7 ± 1.6</td><td>15.9 ± 1.8</td></tr><tr><td>BSA (m<sup>2</sup>)</td><td>[EMPTY_CELL]</td><td>0.9 ± 0.1</td><td>0.9 ± 0.1</td></tr><tr><td>Thyroid volume (mL)</td><td>[EMPTY_CELL]</td><td>3.1 ± 1.1</td><td>3.1 ± 0.9</td></tr><tr><td>Urinary creatinine (g/L)</td><td>[EMPTY_CELL]</td><td>0.7 ± 0.4</td><td>0.7 ± 0.4</td></tr><tr><td>Urinary iodine (μg/L)</td><td>[EMPTY_CELL]</td><td>232.6 ± 131.5</td><td>200.4 ± 119.9</td></tr><tr><td>Corrected urinary iodine (μg/g creatinine)</td><td>[EMPTY_CELL]</td><td>337.8 ± 178.2</td><td>319.7 ± 177.5</td></tr><tr><td colspan=\\\"4\\\">Maternal parity [<i>n</i> (%)]</td></tr><tr><td> 1</td><td>[EMPTY_CELL]</td><td>317 (63)</td><td>207 (61)</td></tr><tr><td> 2</td><td>[EMPTY_CELL]</td><td>143 (28)</td><td>104 (31)</td></tr><tr><td> > 2</td><td>[EMPTY_CELL]</td><td>43 (9)</td><td>29 (8)</td></tr><tr><td colspan=\\\"4\\\">Outcome</td></tr><tr><td> Singletons</td><td>[EMPTY_CELL]</td><td>478 (95)</td><td>325 (95)</td></tr><tr><td> Twins</td><td>[EMPTY_CELL]</td><td>25 (5)</td><td>17 (5)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [2, 3, 44, 13]}, {\"cell\": \"<b>Total (<i>n</i> = 845)</b>\", \"bbox\": [149, 3, 192, 13]}, {\"cell\": \"<b>Males (<i>n</i> = 503)</b>\", \"bbox\": [216, 3, 263, 13]}, {\"cell\": \"<b>Females (<i>n</i> = 342)</b>\", \"bbox\": [287, 3, 340, 13]}, {\"cell\": \"Age (years)\", \"bbox\": [2, 15, 37, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 15, 183, 25]}, {\"cell\": \"6.9 ± 1.4\", \"bbox\": [226, 15, 253, 25]}, {\"cell\": \"7.1 ± 1.1\", \"bbox\": [298, 15, 325, 25]}, {\"cell\": \"Birth weight (kg)\", \"bbox\": [2, 24, 52, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 24, 183, 34]}, {\"cell\": \"3.6 ± 0.6\", \"bbox\": [226, 24, 253, 34]}, {\"cell\": \"3.5 ± 0.6\", \"bbox\": [298, 24, 325, 34]}, {\"cell\": \"Birth length (cm)\", \"bbox\": [2, 34, 52, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 34, 183, 43]}, {\"cell\": \"51.2 ± 2.6\", \"bbox\": [223, 34, 253, 43]}, {\"cell\": \"50.4 ± 2.5\", \"bbox\": [295, 34, 325, 43]}, {\"cell\": \"Gestational age (days)\", \"bbox\": [2, 43, 69, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 43, 187, 53]}, {\"cell\": \"279.2 ± 12.6\", \"bbox\": [219, 43, 257, 53]}, {\"cell\": \"278.3 ± 14.0\", \"bbox\": [291, 43, 329, 53]}, {\"cell\": \"WGA (%)\", \"bbox\": [2, 52, 32, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 52, 187, 62]}, {\"cell\": \"−0.8 ± 12.7\", \"bbox\": [222, 52, 257, 62]}, {\"cell\": \"−0.2 ± 13.3\", \"bbox\": [294, 52, 329, 62]}, {\"cell\": \"Height (cm)\", \"bbox\": [2, 62, 37, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 62, 183, 71]}, {\"cell\": \"124.4 ± 10.1\", \"bbox\": [219, 62, 257, 71]}, {\"cell\": \"124.7 ± 8.6\", \"bbox\": [291, 62, 325, 71]}, {\"cell\": \"Weight (kg)\", \"bbox\": [2, 71, 38, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 71, 183, 80]}, {\"cell\": \"24.6 ± 5.6\", \"bbox\": [223, 71, 253, 80]}, {\"cell\": \"24.9 ± 4.9\", \"bbox\": [295, 71, 325, 80]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [2, 79, 39, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 80, 183, 90]}, {\"cell\": \"15.7 ± 1.6\", \"bbox\": [223, 80, 253, 90]}, {\"cell\": \"15.9 ± 1.8\", \"bbox\": [295, 80, 325, 90]}, {\"cell\": \"BSA (m<sup>2</sup>)\", \"bbox\": [2, 88, 30, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 89, 183, 99]}, {\"cell\": \"0.9 ± 0.1\", \"bbox\": [226, 89, 253, 99]}, {\"cell\": \"0.9 ± 0.1\", \"bbox\": [298, 89, 325, 99]}, {\"cell\": \"Thyroid volume (mL)\", \"bbox\": [2, 99, 62, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 99, 183, 108]}, {\"cell\": \"3.1 ± 1.1\", \"bbox\": [226, 99, 253, 108]}, {\"cell\": \"3.1 ± 0.9\", \"bbox\": [298, 99, 325, 108]}, {\"cell\": \"Urinary creatinine (g/L)\", \"bbox\": [2, 108, 71, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 108, 183, 118]}, {\"cell\": \"0.7 ± 0.4\", \"bbox\": [226, 108, 253, 118]}, {\"cell\": \"0.7 ± 0.4\", \"bbox\": [298, 108, 325, 118]}, {\"cell\": \"Urinary iodine (μg/L)\", \"bbox\": [2, 117, 63, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 117, 190, 127]}, {\"cell\": \"232.6 ± 131.5\", \"bbox\": [219, 117, 260, 127]}, {\"cell\": \"200.4 ± 119.9\", \"bbox\": [291, 117, 332, 127]}, {\"cell\": \"Corrected urinary iodine (μg/g creatinine)\", \"bbox\": [2, 127, 123, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 127, 190, 136]}, {\"cell\": \"337.8 ± 178.2\", \"bbox\": [219, 127, 260, 136]}, {\"cell\": \"319.7 ± 177.5\", \"bbox\": [291, 127, 332, 136]}, {\"cell\": \"Maternal parity [<i>n</i> (%)]\", \"bbox\": [2, 136, 70, 145]}, {\"cell\": \" 1\", \"bbox\": [6, 145, 12, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 145, 183, 155]}, {\"cell\": \"317 (63)\", \"bbox\": [227, 145, 252, 155]}, {\"cell\": \"207 (61)\", \"bbox\": [299, 145, 325, 155]}, {\"cell\": \" 2\", \"bbox\": [6, 155, 12, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 155, 183, 164]}, {\"cell\": \"143 (28)\", \"bbox\": [227, 155, 252, 164]}, {\"cell\": \"104 (31)\", \"bbox\": [299, 155, 325, 164]}, {\"cell\": \" > 2\", \"bbox\": [6, 164, 17, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 164, 180, 173]}, {\"cell\": \"43 (9)\", \"bbox\": [230, 164, 248, 173]}, {\"cell\": \"29 (8)\", \"bbox\": [303, 164, 321, 173]}, {\"cell\": \"Outcome\", \"bbox\": [2, 173, 30, 183]}, {\"cell\": \" Singletons\", \"bbox\": [6, 182, 39, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 182, 183, 192]}, {\"cell\": \"478 (95)\", \"bbox\": [227, 182, 252, 192]}, {\"cell\": \"325 (95)\", \"bbox\": [299, 182, 325, 192]}, {\"cell\": \" Twins\", \"bbox\": [6, 192, 26, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 192, 180, 201]}, {\"cell\": \"25 (5)\", \"bbox\": [230, 192, 248, 201]}, {\"cell\": \"17 (5)\", \"bbox\": [303, 192, 321, 201]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2957929_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}539{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Parameters</b></td><td colspan=\\\"2\\\"><b>Multivariable-adjusted model</b></td></tr><tr><td><b>Odds ratio</b></td><td><b>95%CI</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">1.00 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.44</td><td>1.36–1.52</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">1.00 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.13</td><td>1.02–1.24</td></tr><tr><td>[EMPTY_CELL]</td><td>0.86</td><td>0.78–0.95</td></tr><tr><td>[EMPTY_CELL]</td><td>0.55</td><td>0.49–0.62</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">1.00 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.14</td><td>1.06–1.22</td></tr><tr><td>[EMPTY_CELL]</td><td>1.12</td><td>1.06–1.19</td></tr><tr><td>[EMPTY_CELL]</td><td>1.17</td><td>1.05–1.19</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">1.00 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.12</td><td>1.06–1.19</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">1.00 [Reference]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.09</td><td>1.09–1.27</td></tr><tr><td>[EMPTY_CELL]</td><td>1.18</td><td>1.01–1.17</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.01</td><td>0.83–1.23</td></tr><tr><td>[EMPTY_CELL]</td><td>1.12</td><td>1.06–1.26</td></tr><tr><td>[EMPTY_CELL]</td><td>1.12</td><td>0.99–1.34</td></tr><tr><td>[EMPTY_CELL]</td><td>1.56</td><td>1.48–1.64</td></tr><tr><td>[EMPTY_CELL]</td><td>1.03</td><td>0.97–1.09</td></tr><tr><td>[EMPTY_CELL]</td><td>1.25</td><td>1.17–1.34</td></tr><tr><td>[EMPTY_CELL]</td><td>1.42</td><td>1.28–1.56</td></tr><tr><td>[EMPTY_CELL]</td><td>2.00</td><td>1.81–2.21</td></tr><tr><td>[EMPTY_CELL]</td><td>1.27</td><td>1.13–1.42</td></tr><tr><td>[EMPTY_CELL]</td><td>2.79</td><td>2.65–2.95</td></tr><tr><td>[EMPTY_CELL]</td><td>2.93</td><td>2.72–3.15</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameters</b>\", \"bbox\": [1, 4, 38, 13]}, {\"cell\": \"<b>Multivariable-adjusted model</b>\", \"bbox\": [121, 4, 216, 13]}, {\"cell\": \"<b>Odds ratio</b>\", \"bbox\": [121, 17, 157, 27]}, {\"cell\": \"<b>95%CI</b>\", \"bbox\": [193, 17, 215, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 26, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 44, 26, 54]}, {\"cell\": \"1.00 [Reference]\", \"bbox\": [121, 44, 174, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 58, 34, 68]}, {\"cell\": \"1.44\", \"bbox\": [121, 58, 136, 68]}, {\"cell\": \"1.36–1.52\", \"bbox\": [193, 58, 224, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 25, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 86, 26, 96]}, {\"cell\": \"1.00 [Reference]\", \"bbox\": [121, 86, 174, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 100, 30, 110]}, {\"cell\": \"1.13\", \"bbox\": [121, 100, 136, 110]}, {\"cell\": \"1.02–1.24\", \"bbox\": [193, 100, 224, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 114, 30, 124]}, {\"cell\": \"0.86\", \"bbox\": [121, 114, 136, 124]}, {\"cell\": \"0.78–0.95\", \"bbox\": [193, 114, 224, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 128, 27, 138]}, {\"cell\": \"0.55\", \"bbox\": [121, 128, 136, 138]}, {\"cell\": \"0.49–0.62\", \"bbox\": [193, 128, 224, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 58, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 156, 29, 166]}, {\"cell\": \"1.00 [Reference]\", \"bbox\": [121, 156, 174, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 170, 33, 180]}, {\"cell\": \"1.14\", \"bbox\": [121, 170, 136, 180]}, {\"cell\": \"1.06–1.22\", \"bbox\": [193, 170, 224, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 184, 29, 194]}, {\"cell\": \"1.12\", \"bbox\": [121, 184, 136, 194]}, {\"cell\": \"1.06–1.19\", \"bbox\": [193, 184, 224, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 198, 23, 208]}, {\"cell\": \"1.17\", \"bbox\": [121, 198, 136, 208]}, {\"cell\": \"1.05–1.19\", \"bbox\": [193, 198, 224, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 60, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 226, 30, 236]}, {\"cell\": \"1.00 [Reference]\", \"bbox\": [121, 226, 174, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 240, 26, 250]}, {\"cell\": \"1.12\", \"bbox\": [121, 240, 136, 250]}, {\"cell\": \"1.06–1.19\", \"bbox\": [193, 240, 224, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 101, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 268, 39, 278]}, {\"cell\": \"1.00 [Reference]\", \"bbox\": [121, 268, 174, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 282, 39, 292]}, {\"cell\": \"1.09\", \"bbox\": [121, 282, 136, 292]}, {\"cell\": \"1.09–1.27\", \"bbox\": [193, 282, 224, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 296, 47, 306]}, {\"cell\": \"1.18\", \"bbox\": [121, 296, 136, 306]}, {\"cell\": \"1.01–1.17\", \"bbox\": [193, 296, 224, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 310, 75, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 324, 77, 334]}, {\"cell\": \"1.01\", \"bbox\": [121, 324, 136, 334]}, {\"cell\": \"0.83–1.23\", \"bbox\": [193, 324, 224, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 338, 86, 348]}, {\"cell\": \"1.12\", \"bbox\": [121, 338, 136, 348]}, {\"cell\": \"1.06–1.26\", \"bbox\": [193, 338, 224, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 352, 95, 362]}, {\"cell\": \"1.12\", \"bbox\": [121, 352, 136, 362]}, {\"cell\": \"0.99–1.34\", \"bbox\": [193, 352, 224, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 366, 87, 376]}, {\"cell\": \"1.56\", \"bbox\": [121, 366, 136, 376]}, {\"cell\": \"1.48–1.64\", \"bbox\": [193, 366, 224, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 380, 98, 390]}, {\"cell\": \"1.03\", \"bbox\": [121, 380, 136, 390]}, {\"cell\": \"0.97–1.09\", \"bbox\": [193, 380, 224, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 394, 73, 404]}, {\"cell\": \"1.25\", \"bbox\": [121, 394, 136, 404]}, {\"cell\": \"1.17–1.34\", \"bbox\": [193, 394, 224, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 408, 65, 418]}, {\"cell\": \"1.42\", \"bbox\": [121, 408, 136, 418]}, {\"cell\": \"1.28–1.56\", \"bbox\": [193, 408, 224, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 422, 53, 432]}, {\"cell\": \"2.00\", \"bbox\": [121, 422, 136, 432]}, {\"cell\": \"1.81–2.21\", \"bbox\": [193, 422, 224, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 436, 32, 446]}, {\"cell\": \"1.27\", \"bbox\": [121, 436, 136, 446]}, {\"cell\": \"1.13–1.42\", \"bbox\": [193, 436, 224, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 450, 53, 460]}, {\"cell\": \"2.79\", \"bbox\": [121, 450, 136, 460]}, {\"cell\": \"2.65–2.95\", \"bbox\": [193, 450, 224, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 464, 59, 474]}, {\"cell\": \"2.93\", \"bbox\": [121, 464, 136, 474]}, {\"cell\": \"2.72–3.15\", \"bbox\": [193, 464, 224, 474]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6033220_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}540{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Project/Criteria</b></td><td><b>Shaman's Clinic & MM Clinic (Suriname)</b></td><td><b>Comadronas Midwifery (Guatemala)</b></td><td><b>Makewe Hospital/Boroa (Chile)</b></td><td><b>Jambi Hausi/Midwife and Yachac Associations (Ecuador)</b></td><td><b>CRIC/AIC/IPS (Colombia)</b></td></tr></thead><tbody><tr><td><b>Impact</b></td><td>pm</td><td>nm</td><td>pm</td><td>pm</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Sustainability</b></td><td>pm</td><td>nm</td><td>pm</td><td>pm</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Responsiveness and Relevant</b></td><td>m</td><td>pm</td><td>m</td><td>pm</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Client Focus</b></td><td>m</td><td>pm</td><td>m</td><td>m</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Access</b></td><td>m</td><td>pm</td><td>m</td><td>m (urban)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Coordination & Integration</b></td><td>m</td><td>nm</td><td>m</td><td>pm</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Efficiency & Flexibility</b></td><td>pm</td><td>pm</td><td>pm</td><td>pm</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Leadership</b></td><td>pm</td><td>pm</td><td>m</td><td>m</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Innovation</b></td><td>m</td><td>pm</td><td>m</td><td>m</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Potential for Replication</b></td><td>pm</td><td>pm</td><td>pm</td><td>pm</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Health/Policy Identification or Resolution</b></td><td>pm</td><td>pm</td><td>m</td><td>pm</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Capacity for Evaluation</b></td><td>pm</td><td>nm</td><td>pm</td><td>nm</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Criterion</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>m = met</b></td><td>5</td><td>0</td><td>7</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td><b>pm = partially met</b></td><td>7</td><td>8</td><td>5</td><td>7</td><td>[EMPTY_CELL]</td></tr><tr><td><b>nm = not met</b></td><td>0</td><td>4</td><td>0</td><td>1</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Project/Criteria</b>\", \"bbox\": [4, 5, 67, 14]}, {\"cell\": \"<b>Shaman's Clinic & MM Clinic (Suriname)</b>\", \"bbox\": [88, 4, 163, 23]}, {\"cell\": \"<b>Comadronas Midwifery (Guatemala)</b>\", \"bbox\": [187, 4, 232, 33]}, {\"cell\": \"<b>Makewe Hospital/Boroa (Chile)</b>\", \"bbox\": [262, 4, 324, 23]}, {\"cell\": \"<b>Jambi Hausi/Midwife and Yachac Associations (Ecuador)</b>\", \"bbox\": [341, 4, 410, 42]}, {\"cell\": \"<b>CRIC/AIC/IPS (Colombia)</b>\", \"bbox\": [434, 4, 483, 23]}, {\"cell\": \"<b>Impact</b>\", \"bbox\": [4, 55, 34, 64]}, {\"cell\": \"pm\", \"bbox\": [120, 54, 132, 64]}, {\"cell\": \"nm\", \"bbox\": [203, 54, 216, 64]}, {\"cell\": \"pm\", \"bbox\": [286, 54, 299, 64]}, {\"cell\": \"pm\", \"bbox\": [369, 54, 382, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 54, 465, 64]}, {\"cell\": \"<b>Sustainability</b>\", \"bbox\": [4, 65, 58, 74]}, {\"cell\": \"pm\", \"bbox\": [120, 65, 132, 74]}, {\"cell\": \"nm\", \"bbox\": [203, 65, 216, 74]}, {\"cell\": \"pm\", \"bbox\": [286, 65, 299, 74]}, {\"cell\": \"pm\", \"bbox\": [369, 65, 382, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 65, 463, 74]}, {\"cell\": \"<b>Responsiveness and Relevant</b>\", \"bbox\": [4, 75, 81, 94]}, {\"cell\": \"m\", \"bbox\": [122, 75, 130, 85]}, {\"cell\": \"pm\", \"bbox\": [203, 75, 216, 85]}, {\"cell\": \"m\", \"bbox\": [288, 75, 297, 85]}, {\"cell\": \"pm\", \"bbox\": [369, 75, 382, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 75, 463, 85]}, {\"cell\": \"<b>Client Focus</b>\", \"bbox\": [4, 95, 55, 104]}, {\"cell\": \"m\", \"bbox\": [122, 94, 130, 104]}, {\"cell\": \"pm\", \"bbox\": [203, 94, 216, 104]}, {\"cell\": \"m\", \"bbox\": [288, 94, 297, 104]}, {\"cell\": \"m\", \"bbox\": [371, 94, 380, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 94, 463, 104]}, {\"cell\": \"<b>Access</b>\", \"bbox\": [4, 105, 33, 114]}, {\"cell\": \"m\", \"bbox\": [122, 105, 130, 114]}, {\"cell\": \"pm\", \"bbox\": [203, 105, 216, 114]}, {\"cell\": \"m\", \"bbox\": [288, 105, 297, 114]}, {\"cell\": \"m (urban)\", \"bbox\": [358, 105, 393, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 105, 463, 114]}, {\"cell\": \"<b>Coordination & Integration</b>\", \"bbox\": [4, 115, 66, 134]}, {\"cell\": \"m\", \"bbox\": [122, 115, 130, 125]}, {\"cell\": \"nm\", \"bbox\": [203, 115, 216, 125]}, {\"cell\": \"m\", \"bbox\": [288, 115, 297, 125]}, {\"cell\": \"pm\", \"bbox\": [369, 115, 382, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 115, 463, 125]}, {\"cell\": \"<b>Efficiency & Flexibility</b>\", \"bbox\": [4, 135, 51, 153]}, {\"cell\": \"pm\", \"bbox\": [120, 134, 132, 144]}, {\"cell\": \"pm\", \"bbox\": [203, 134, 216, 144]}, {\"cell\": \"pm\", \"bbox\": [286, 134, 299, 144]}, {\"cell\": \"pm\", \"bbox\": [369, 134, 382, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 134, 465, 144]}, {\"cell\": \"<b>Leadership</b>\", \"bbox\": [4, 154, 49, 164]}, {\"cell\": \"pm\", \"bbox\": [120, 154, 132, 164]}, {\"cell\": \"pm\", \"bbox\": [203, 154, 216, 164]}, {\"cell\": \"m\", \"bbox\": [288, 154, 297, 164]}, {\"cell\": \"m\", \"bbox\": [371, 154, 380, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 154, 463, 164]}, {\"cell\": \"<b>Innovation</b>\", \"bbox\": [4, 164, 48, 174]}, {\"cell\": \"m\", \"bbox\": [122, 164, 130, 174]}, {\"cell\": \"pm\", \"bbox\": [203, 164, 216, 174]}, {\"cell\": \"m\", \"bbox\": [288, 164, 297, 174]}, {\"cell\": \"m\", \"bbox\": [371, 164, 380, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 164, 463, 174]}, {\"cell\": \"<b>Potential for Replication</b>\", \"bbox\": [4, 175, 55, 193]}, {\"cell\": \"pm\", \"bbox\": [120, 174, 132, 184]}, {\"cell\": \"pm\", \"bbox\": [203, 174, 216, 184]}, {\"cell\": \"pm\", \"bbox\": [286, 174, 299, 184]}, {\"cell\": \"pm\", \"bbox\": [369, 174, 382, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 174, 465, 184]}, {\"cell\": \"<b>Health/Policy Identification or Resolution</b>\", \"bbox\": [4, 194, 68, 222]}, {\"cell\": \"pm\", \"bbox\": [120, 194, 132, 204]}, {\"cell\": \"pm\", \"bbox\": [203, 194, 216, 204]}, {\"cell\": \"m\", \"bbox\": [288, 194, 297, 204]}, {\"cell\": \"pm\", \"bbox\": [369, 194, 382, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 194, 463, 204]}, {\"cell\": \"<b>Capacity for Evaluation</b>\", \"bbox\": [4, 223, 54, 242]}, {\"cell\": \"pm\", \"bbox\": [120, 223, 132, 232]}, {\"cell\": \"nm\", \"bbox\": [203, 223, 216, 232]}, {\"cell\": \"pm\", \"bbox\": [286, 223, 299, 232]}, {\"cell\": \"nm\", \"bbox\": [369, 223, 382, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 223, 465, 232]}, {\"cell\": \"<b>Criterion</b>\", \"bbox\": [4, 242, 42, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>m = met</b>\", \"bbox\": [4, 253, 40, 262]}, {\"cell\": \"5\", \"bbox\": [123, 252, 129, 262]}, {\"cell\": \"0\", \"bbox\": [206, 252, 212, 262]}, {\"cell\": \"7\", \"bbox\": [289, 252, 296, 262]}, {\"cell\": \"4\", \"bbox\": [373, 252, 379, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 252, 462, 262]}, {\"cell\": \"<b>pm = partially met</b>\", \"bbox\": [4, 263, 78, 272]}, {\"cell\": \"7\", \"bbox\": [123, 263, 129, 272]}, {\"cell\": \"8\", \"bbox\": [206, 263, 212, 272]}, {\"cell\": \"5\", \"bbox\": [289, 263, 296, 272]}, {\"cell\": \"7\", \"bbox\": [373, 263, 379, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 263, 462, 272]}, {\"cell\": \"<b>nm = not met</b>\", \"bbox\": [4, 273, 60, 283]}, {\"cell\": \"0\", \"bbox\": [123, 273, 129, 283]}, {\"cell\": \"4\", \"bbox\": [206, 273, 212, 283]}, {\"cell\": \"0\", \"bbox\": [289, 273, 296, 283]}, {\"cell\": \"1\", \"bbox\": [373, 273, 379, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 273, 462, 283]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2000867_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}541{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Cases/Total (No. of studies)</b></td><td><b>Pooled prevalence prior to 2-week period (%)</b></td><td><b>95%CI of prevalence (%)</b></td><td><b>Annual incidence per person-year<sup>a</sup></b></td><td><b>95%CI of incidence per person-year</b></td><td><b>Q-value (<i>p</i>-value)</b></td></tr></thead><tbody><tr><td>Overall</td><td>20,134/911240 (<i>n</i> = 35)</td><td>2.04</td><td>1.48–2.79</td><td>0.53</td><td>0.38–0.73</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">Gender</td></tr><tr><td> Male</td><td>3428/196522 (<i>n</i> = 15)</td><td>2.22</td><td>1.30–3.77</td><td>0.58</td><td>0.34–0.98</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>3234/202362 (<i>n</i> = 15)</td><td>2.00</td><td>1.18–3.37</td><td>0.52</td><td>0.31–0.88</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">Age group (year)</td></tr><tr><td> 0–4</td><td>3832/43463 (16)</td><td>5.51</td><td>3.76–8.01</td><td>1.43</td><td>0.98–2.08</td><td>[EMPTY_CELL]</td></tr><tr><td> 5–14</td><td>3095/103720 (16)</td><td>2.10</td><td>1.38–3.18</td><td>0.55</td><td>0.36–0.83</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥15</td><td>10,325/496007 (16)</td><td>2.01</td><td>1.28–3.14</td><td>0.52</td><td>0.33–0.82</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">Time period</td></tr><tr><td> 1980–1989</td><td>12,142/243664 (<i>n</i> = 11)</td><td>3.17</td><td>2.23–4.49</td><td>0.82</td><td>0.60–1.27</td><td>[EMPTY_CELL]</td></tr><tr><td> 1990–1999</td><td>1524/94874 (<i>n</i> = 3)</td><td>1.89</td><td>0.86–4.13</td><td>0.49</td><td>0.22–1.07</td><td>[EMPTY_CELL]</td></tr><tr><td> 2000–2012</td><td>6066/506591 (<i>n</i> = 19)</td><td>1.84</td><td>1.34–2.53</td><td>0.48</td><td>0.35–0.66</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">Study area</td></tr><tr><td> Urban</td><td>2510/267115 (<i>n</i> = 14)</td><td>1.28</td><td>0.80–2.06</td><td>0.33</td><td>0.21–0.54</td><td>[EMPTY_CELL]</td></tr><tr><td> Rural</td><td>9445/486495 (<i>n</i> = 27)</td><td>1.94</td><td>1.38–2.72</td><td>0.50</td><td>0.36–0.71</td><td>[EMPTY_CELL]</td></tr><tr><td> East</td><td>4800/415033 (<i>n</i> = 20)</td><td>1.48</td><td>1.11–1.97</td><td>0.38</td><td>0.29–0.51</td><td>[EMPTY_CELL]</td></tr><tr><td> Central</td><td>2704/109382 (<i>n</i> = 4)</td><td>1.85</td><td>0.75–4.46</td><td>0.48</td><td>0.20–1.16</td><td>[EMPTY_CELL]</td></tr><tr><td> West</td><td>4616/248613 (<i>n</i> = 11)</td><td>2.64</td><td>1.32–5.22</td><td>0.69</td><td>0.34–1.36</td><td>[EMPTY_CELL]</td></tr><tr><td> South</td><td>7107/580306 (<i>n</i> = 25)</td><td>1.61</td><td>1.18–2.21</td><td>0.42</td><td>0.47–0.55</td><td>[EMPTY_CELL]</td></tr><tr><td> North</td><td>5013/192722 (<i>n</i> = 10)</td><td>2.52</td><td>1.37–4.58</td><td>0.66</td><td>0.36–1.19</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">Season</td></tr><tr><td> Spring</td><td>1885/135064 (<i>n</i> = 9)</td><td>0.82</td><td>0.41–1.63</td><td>0.20</td><td>0.11–0.42</td><td>[EMPTY_CELL]</td></tr><tr><td> Summer</td><td>15,131/440994 (<i>n</i> = 26)</td><td>2.33</td><td>1.71–3.16</td><td>0.61</td><td>0.44–0.82</td><td>[EMPTY_CELL]</td></tr><tr><td> Autumn</td><td>1214/113349 (<i>n</i> = 9)</td><td>1.02</td><td>0.70–1.49</td><td>0.27</td><td>0.18–0.39</td><td>[EMPTY_CELL]</td></tr><tr><td> Winter</td><td>1080/132643 (<i>n</i> = 12)</td><td>0.94</td><td>0.77–1.15</td><td>0.24</td><td>0.20–0.30</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"<b>Cases/Total (No. of studies)</b>\", \"bbox\": [55, 4, 105, 22]}, {\"cell\": \"<b>Pooled prevalence prior to 2-week period (%)</b>\", \"bbox\": [138, 4, 217, 22]}, {\"cell\": \"<b>95%CI of prevalence (%)</b>\", \"bbox\": [226, 4, 275, 22]}, {\"cell\": \"<b>Annual incidence per person-year<sup>a</sup></b>\", \"bbox\": [285, 4, 343, 22]}, {\"cell\": \"<b>95%CI of incidence per person-year</b>\", \"bbox\": [352, 4, 415, 22]}, {\"cell\": \"<b>Q-value (<i>p</i>-value)</b>\", \"bbox\": [425, 4, 481, 13]}, {\"cell\": \"Overall\", \"bbox\": [1, 26, 24, 36]}, {\"cell\": \"20,134/911240 (<i>n</i> = 35)\", \"bbox\": [55, 26, 129, 36]}, {\"cell\": \"2.04\", \"bbox\": [138, 26, 153, 36]}, {\"cell\": \"1.48–2.79\", \"bbox\": [226, 26, 258, 36]}, {\"cell\": \"0.53\", \"bbox\": [285, 26, 300, 36]}, {\"cell\": \"0.38–0.73\", \"bbox\": [352, 26, 383, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 26, 479, 36]}, {\"cell\": \"Gender\", \"bbox\": [1, 40, 26, 50]}, {\"cell\": \" Male\", \"bbox\": [8, 54, 26, 64]}, {\"cell\": \"3428/196522 (<i>n</i> = 15)\", \"bbox\": [55, 54, 124, 64]}, {\"cell\": \"2.22\", \"bbox\": [138, 54, 153, 64]}, {\"cell\": \"1.30–3.77\", \"bbox\": [226, 54, 258, 64]}, {\"cell\": \"0.58\", \"bbox\": [285, 54, 300, 64]}, {\"cell\": \"0.34–0.98\", \"bbox\": [352, 54, 383, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 54, 474, 64]}, {\"cell\": \" Female\", \"bbox\": [8, 68, 34, 78]}, {\"cell\": \"3234/202362 (<i>n</i> = 15)\", \"bbox\": [55, 68, 124, 78]}, {\"cell\": \"2.00\", \"bbox\": [138, 68, 153, 78]}, {\"cell\": \"1.18–3.37\", \"bbox\": [226, 68, 258, 78]}, {\"cell\": \"0.52\", \"bbox\": [285, 68, 300, 78]}, {\"cell\": \"0.31–0.88\", \"bbox\": [352, 68, 383, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 68, 474, 78]}, {\"cell\": \"Age group (year)\", \"bbox\": [1, 82, 57, 92]}, {\"cell\": \" 0–4\", \"bbox\": [8, 96, 22, 106]}, {\"cell\": \"3832/43463 (16)\", \"bbox\": [55, 96, 108, 106]}, {\"cell\": \"5.51\", \"bbox\": [138, 96, 153, 106]}, {\"cell\": \"3.76–8.01\", \"bbox\": [226, 96, 258, 106]}, {\"cell\": \"1.43\", \"bbox\": [285, 96, 300, 106]}, {\"cell\": \"0.98–2.08\", \"bbox\": [352, 96, 383, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 96, 484, 106]}, {\"cell\": \" 5–14\", \"bbox\": [8, 110, 26, 120]}, {\"cell\": \"3095/103720 (16)\", \"bbox\": [55, 110, 112, 120]}, {\"cell\": \"2.10\", \"bbox\": [138, 110, 153, 120]}, {\"cell\": \"1.38–3.18\", \"bbox\": [226, 110, 258, 120]}, {\"cell\": \"0.55\", \"bbox\": [285, 110, 300, 120]}, {\"cell\": \"0.36–0.83\", \"bbox\": [352, 110, 383, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 110, 484, 120]}, {\"cell\": \" ≥15\", \"bbox\": [8, 124, 23, 134]}, {\"cell\": \"10,325/496007 (16)\", \"bbox\": [55, 124, 117, 134]}, {\"cell\": \"2.01\", \"bbox\": [138, 124, 153, 134]}, {\"cell\": \"1.28–3.14\", \"bbox\": [226, 124, 258, 134]}, {\"cell\": \"0.52\", \"bbox\": [285, 124, 300, 134]}, {\"cell\": \"0.33–0.82\", \"bbox\": [352, 124, 383, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 124, 484, 134]}, {\"cell\": \"Time period\", \"bbox\": [1, 138, 41, 148]}, {\"cell\": \" 1980–1989\", \"bbox\": [8, 152, 45, 162]}, {\"cell\": \"12,142/243664 (<i>n</i> = 11)\", \"bbox\": [55, 152, 129, 162]}, {\"cell\": \"3.17\", \"bbox\": [138, 152, 153, 162]}, {\"cell\": \"2.23–4.49\", \"bbox\": [226, 152, 258, 162]}, {\"cell\": \"0.82\", \"bbox\": [285, 152, 300, 162]}, {\"cell\": \"0.60–1.27\", \"bbox\": [352, 152, 383, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 152, 474, 162]}, {\"cell\": \" 1990–1999\", \"bbox\": [9, 166, 45, 176]}, {\"cell\": \"1524/94874 (<i>n</i> = 3)\", \"bbox\": [55, 166, 116, 176]}, {\"cell\": \"1.89\", \"bbox\": [138, 166, 153, 176]}, {\"cell\": \"0.86–4.13\", \"bbox\": [226, 166, 258, 176]}, {\"cell\": \"0.49\", \"bbox\": [285, 166, 300, 176]}, {\"cell\": \"0.22–1.07\", \"bbox\": [352, 166, 383, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 166, 471, 176]}, {\"cell\": \" 2000–2012\", \"bbox\": [9, 180, 45, 190]}, {\"cell\": \"6066/506591 (<i>n</i> = 19)\", \"bbox\": [55, 180, 124, 190]}, {\"cell\": \"1.84\", \"bbox\": [138, 180, 153, 190]}, {\"cell\": \"1.34–2.53\", \"bbox\": [226, 180, 258, 190]}, {\"cell\": \"0.48\", \"bbox\": [285, 180, 300, 190]}, {\"cell\": \"0.35–0.66\", \"bbox\": [352, 180, 383, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 180, 474, 190]}, {\"cell\": \"Study area\", \"bbox\": [1, 194, 36, 204]}, {\"cell\": \" Urban\", \"bbox\": [9, 208, 30, 218]}, {\"cell\": \"2510/267115 (<i>n</i> = 14)\", \"bbox\": [55, 208, 124, 218]}, {\"cell\": \"1.28\", \"bbox\": [138, 208, 153, 218]}, {\"cell\": \"0.80–2.06\", \"bbox\": [226, 208, 258, 218]}, {\"cell\": \"0.33\", \"bbox\": [285, 208, 300, 218]}, {\"cell\": \"0.21–0.54\", \"bbox\": [352, 208, 383, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 208, 474, 218]}, {\"cell\": \" Rural\", \"bbox\": [9, 222, 26, 232]}, {\"cell\": \"9445/486495 (<i>n</i> = 27)\", \"bbox\": [55, 222, 124, 232]}, {\"cell\": \"1.94\", \"bbox\": [138, 222, 153, 232]}, {\"cell\": \"1.38–2.72\", \"bbox\": [226, 222, 258, 232]}, {\"cell\": \"0.50\", \"bbox\": [285, 222, 300, 232]}, {\"cell\": \"0.36–0.71\", \"bbox\": [352, 222, 383, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 222, 474, 232]}, {\"cell\": \" East\", \"bbox\": [9, 236, 23, 246]}, {\"cell\": \"4800/415033 (<i>n</i> = 20)\", \"bbox\": [55, 236, 124, 246]}, {\"cell\": \"1.48\", \"bbox\": [138, 236, 153, 246]}, {\"cell\": \"1.11–1.97\", \"bbox\": [226, 236, 258, 246]}, {\"cell\": \"0.38\", \"bbox\": [285, 236, 300, 246]}, {\"cell\": \"0.29–0.51\", \"bbox\": [352, 236, 383, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 236, 474, 246]}, {\"cell\": \" Central\", \"bbox\": [9, 250, 33, 260]}, {\"cell\": \"2704/109382 (<i>n</i> = 4)\", \"bbox\": [55, 250, 120, 260]}, {\"cell\": \"1.85\", \"bbox\": [138, 250, 153, 260]}, {\"cell\": \"0.75–4.46\", \"bbox\": [226, 250, 258, 260]}, {\"cell\": \"0.48\", \"bbox\": [285, 250, 300, 260]}, {\"cell\": \"0.20–1.16\", \"bbox\": [352, 250, 383, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 250, 474, 260]}, {\"cell\": \" West\", \"bbox\": [8, 264, 26, 274]}, {\"cell\": \"4616/248613 (<i>n</i> = 11)\", \"bbox\": [55, 264, 124, 274]}, {\"cell\": \"2.64\", \"bbox\": [138, 264, 153, 274]}, {\"cell\": \"1.32–5.22\", \"bbox\": [226, 264, 258, 274]}, {\"cell\": \"0.69\", \"bbox\": [285, 264, 300, 274]}, {\"cell\": \"0.34–1.36\", \"bbox\": [352, 264, 383, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 264, 474, 274]}, {\"cell\": \" South\", \"bbox\": [8, 278, 29, 288]}, {\"cell\": \"7107/580306 (<i>n</i> = 25)\", \"bbox\": [55, 278, 124, 288]}, {\"cell\": \"1.61\", \"bbox\": [138, 278, 153, 288]}, {\"cell\": \"1.18–2.21\", \"bbox\": [226, 278, 258, 288]}, {\"cell\": \"0.42\", \"bbox\": [285, 278, 300, 288]}, {\"cell\": \"0.47–0.55\", \"bbox\": [352, 278, 383, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 278, 474, 288]}, {\"cell\": \" North\", \"bbox\": [8, 292, 29, 302]}, {\"cell\": \"5013/192722 (<i>n</i> = 10)\", \"bbox\": [55, 292, 124, 302]}, {\"cell\": \"2.52\", \"bbox\": [138, 292, 153, 302]}, {\"cell\": \"1.37–4.58\", \"bbox\": [226, 292, 258, 302]}, {\"cell\": \"0.66\", \"bbox\": [285, 292, 300, 302]}, {\"cell\": \"0.36–1.19\", \"bbox\": [352, 292, 383, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 292, 474, 302]}, {\"cell\": \"Season\", \"bbox\": [1, 306, 25, 316]}, {\"cell\": \" Spring\", \"bbox\": [8, 320, 31, 330]}, {\"cell\": \"1885/135064 (<i>n</i> = 9)\", \"bbox\": [55, 320, 120, 330]}, {\"cell\": \"0.82\", \"bbox\": [138, 320, 153, 330]}, {\"cell\": \"0.41–1.63\", \"bbox\": [226, 320, 258, 330]}, {\"cell\": \"0.20\", \"bbox\": [285, 320, 300, 330]}, {\"cell\": \"0.11–0.42\", \"bbox\": [352, 320, 383, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 320, 474, 330]}, {\"cell\": \" Summer\", \"bbox\": [8, 334, 37, 344]}, {\"cell\": \"15,131/440994 (<i>n</i> = 26)\", \"bbox\": [55, 334, 129, 344]}, {\"cell\": \"2.33\", \"bbox\": [138, 334, 153, 344]}, {\"cell\": \"1.71–3.16\", \"bbox\": [226, 334, 258, 344]}, {\"cell\": \"0.61\", \"bbox\": [285, 334, 300, 344]}, {\"cell\": \"0.44–0.82\", \"bbox\": [352, 334, 383, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 334, 474, 344]}, {\"cell\": \" Autumn\", \"bbox\": [8, 348, 37, 358]}, {\"cell\": \"1214/113349 (<i>n</i> = 9)\", \"bbox\": [55, 348, 120, 358]}, {\"cell\": \"1.02\", \"bbox\": [138, 348, 153, 358]}, {\"cell\": \"0.70–1.49\", \"bbox\": [226, 348, 258, 358]}, {\"cell\": \"0.27\", \"bbox\": [285, 348, 300, 358]}, {\"cell\": \"0.18–0.39\", \"bbox\": [352, 348, 383, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 348, 471, 358]}, {\"cell\": \" Winter\", \"bbox\": [8, 362, 31, 372]}, {\"cell\": \"1080/132643 (<i>n</i> = 12)\", \"bbox\": [55, 362, 124, 372]}, {\"cell\": \"0.94\", \"bbox\": [138, 362, 153, 372]}, {\"cell\": \"0.77–1.15\", \"bbox\": [226, 362, 258, 372]}, {\"cell\": \"0.24\", \"bbox\": [285, 362, 300, 372]}, {\"cell\": \"0.20–0.30\", \"bbox\": [352, 362, 383, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [425, 362, 467, 372]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6045875_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}542{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Attribute</b></td><td><b>Value</b></td><td><b>% of Total</b></td></tr></thead><tbody><tr><td>Genome size (bp)</td><td>[EMPTY_CELL]</td><td>100.00</td></tr><tr><td>DNA coding region (bp)</td><td>[EMPTY_CELL]</td><td>84.23</td></tr><tr><td>DNA G+C content (bp)</td><td>[EMPTY_CELL]</td><td>63.89</td></tr><tr><td>Number of scaffolds</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of contigs</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Total gene</td><td>[EMPTY_CELL]</td><td>100.00</td></tr><tr><td>RNA genes</td><td>[EMPTY_CELL]</td><td>1.08</td></tr><tr><td>rRNA operons*</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td>Protein-coding genes</td><td>[EMPTY_CELL]</td><td>98.92</td></tr><tr><td>Genes with function prediction</td><td>[EMPTY_CELL]</td><td>75.13</td></tr><tr><td>Genes assigned to COGs</td><td>[EMPTY_CELL]</td><td>74.45</td></tr><tr><td>Genes assigned Pfam domains</td><td>[EMPTY_CELL]</td><td>79.16</td></tr><tr><td>Genes with signal peptides</td><td>[EMPTY_CELL]</td><td>8.54</td></tr><tr><td>Genes with transmembrane helices</td><td>[EMPTY_CELL]</td><td>21.31</td></tr><tr><td>CRISPR repeats</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Attribute</b>\", \"bbox\": [6, 3, 48, 13]}, {\"cell\": \"<b>Value</b>\", \"bbox\": [194, 3, 221, 13]}, {\"cell\": \"<b>% of Total</b>\", \"bbox\": [237, 3, 286, 13]}, {\"cell\": \"Genome size (bp)\", \"bbox\": [7, 17, 85, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 17, 220, 29]}, {\"cell\": \"100.00\", \"bbox\": [253, 17, 285, 29]}, {\"cell\": \"DNA coding region (bp)\", \"bbox\": [7, 31, 113, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 31, 220, 43]}, {\"cell\": \"84.23\", \"bbox\": [259, 31, 286, 43]}, {\"cell\": \"DNA G+C content (bp)\", \"bbox\": [7, 45, 109, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 45, 220, 57]}, {\"cell\": \"63.89\", \"bbox\": [259, 45, 285, 57]}, {\"cell\": \"Number of scaffolds\", \"bbox\": [7, 58, 96, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 58, 221, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of contigs\", \"bbox\": [7, 72, 90, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 72, 221, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total gene\", \"bbox\": [7, 86, 54, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 86, 220, 98]}, {\"cell\": \"100.00\", \"bbox\": [253, 86, 285, 98]}, {\"cell\": \"RNA genes\", \"bbox\": [7, 100, 57, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 100, 220, 112]}, {\"cell\": \"1.08\", \"bbox\": [265, 100, 285, 112]}, {\"cell\": \"rRNA operons*\", \"bbox\": [7, 113, 74, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 113, 221, 125]}, {\"cell\": \"0.01\", \"bbox\": [265, 113, 285, 125]}, {\"cell\": \"Protein-coding genes\", \"bbox\": [7, 127, 100, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 127, 220, 139]}, {\"cell\": \"98.92\", \"bbox\": [259, 127, 285, 139]}, {\"cell\": \"Genes with function prediction\", \"bbox\": [7, 141, 143, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 141, 221, 153]}, {\"cell\": \"75.13\", \"bbox\": [259, 141, 286, 153]}, {\"cell\": \"Genes assigned to COGs\", \"bbox\": [7, 154, 116, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 154, 220, 166]}, {\"cell\": \"74.45\", \"bbox\": [259, 154, 285, 166]}, {\"cell\": \"Genes assigned Pfam domains\", \"bbox\": [7, 168, 139, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 168, 221, 180]}, {\"cell\": \"79.16\", \"bbox\": [259, 168, 285, 180]}, {\"cell\": \"Genes with signal peptides\", \"bbox\": [7, 182, 125, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 182, 221, 194]}, {\"cell\": \"8.54\", \"bbox\": [265, 182, 285, 194]}, {\"cell\": \"Genes with transmembrane helices\", \"bbox\": [7, 196, 161, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 196, 220, 208]}, {\"cell\": \"21.31\", \"bbox\": [259, 196, 285, 208]}, {\"cell\": \"CRISPR repeats\", \"bbox\": [7, 209, 75, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 209, 221, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4148967_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}543{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Sat PC < 5(n = 18)</b></td><td><b>Sat PC > 5(n = 10)</b></td><td><b>p value</b></td></tr></thead><tbody><tr><td><b>Description of Animals</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Birth weight (kg)</td><td>3.5 ± 0.1</td><td>[EMPTY_CELL]</td><td>= 1</td></tr><tr><td> Gender (male:female)</td><td>10:8</td><td>[EMPTY_CELL]</td><td>= 1</td></tr><tr><td> Gestational Age (days)</td><td>133.1</td><td>[EMPTY_CELL]</td><td>= 1</td></tr><tr><td> BAL Sat PC (μmol/kg)</td><td>2.5 ± 0.3</td><td>[EMPTY_CELL]</td><td>< 0.001</td></tr><tr><td><b>V<sub>T </sub>and Compliance</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> V<sub>T</sub>/kg at 5 min (mL/kg)</td><td>10.2 ± 0.6</td><td>[EMPTY_CELL]</td><td>= 1</td></tr><tr><td> V<sub>T</sub>/kg at 10 min (mL/kg)</td><td>14.4 ± 0.4</td><td>[EMPTY_CELL]</td><td>= 1</td></tr><tr><td> V<sub>T</sub>/kg at 15 min (mL/kg)</td><td>15.6 ± 0.6</td><td>[EMPTY_CELL]</td><td>= 1</td></tr><tr><td> Compliance 5 min (mL/cmH<sub>2</sub>0/kg)</td><td>0.28 ± 0.02</td><td>[EMPTY_CELL]</td><td>= 0.50</td></tr><tr><td> Compliance 10 min (mL/cmH<sub>2</sub>0/kg)</td><td>0.34 ± 0.01</td><td>[EMPTY_CELL]</td><td>= 0.11</td></tr><tr><td> Compliance 15 min (mL/cmH<sub>2</sub>0/kg)</td><td>0.36 ± 0.02</td><td>[EMPTY_CELL]</td><td>= 0.06</td></tr><tr><td><b>BAL Fluid</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Protein (mg/kg)</td><td>94.4 ± 9.0</td><td>[EMPTY_CELL]</td><td>< 0.002</td></tr><tr><td> Neutrophils (x10<sup>6</sup>/kg)</td><td>74.2 ± 1.8</td><td>[EMPTY_CELL]</td><td>< 0.01</td></tr><tr><td> Monocytes (x10<sup>6</sup>/kg)</td><td>12.3 ± 2.9</td><td>[EMPTY_CELL]</td><td>= 0.49</td></tr><tr><td> MCP-1 protein (ng/ml)</td><td>42.1 ± 5.6</td><td>[EMPTY_CELL]</td><td>< 0.0001</td></tr><tr><td><b>Lung Tissue </b>(mRNA fold increase)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> IL-1β</td><td>19.2 ± 2.3</td><td>[EMPTY_CELL]</td><td>< 0.0001</td></tr><tr><td> IL-6</td><td>49.9 ± 8.0</td><td>[EMPTY_CELL]</td><td>< 0.001</td></tr><tr><td> IL-8</td><td>24.8 ± 4.8</td><td>[EMPTY_CELL]</td><td>< 0.0001</td></tr><tr><td><b>Injury Scores</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> (Out of 8 total points)</td><td>4.8 ± 0.2</td><td>[EMPTY_CELL]</td><td>= 0.02</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Sat PC < 5(n = 18)</b>\", \"bbox\": [129, 4, 161, 31]}, {\"cell\": \"<b>Sat PC > 5(n = 10)</b>\", \"bbox\": [170, 4, 201, 31]}, {\"cell\": \"<b>p value</b>\", \"bbox\": [208, 4, 235, 13]}, {\"cell\": \"<b>Description of Animals</b>\", \"bbox\": [1, 35, 82, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Birth weight (kg)\", \"bbox\": [15, 48, 71, 58]}, {\"cell\": \"3.5 ± 0.1\", \"bbox\": [130, 48, 160, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 48, 200, 58]}, {\"cell\": \"= 1\", \"bbox\": [208, 48, 221, 58]}, {\"cell\": \" Gender (male:female)\", \"bbox\": [15, 62, 86, 71]}, {\"cell\": \"10:8\", \"bbox\": [138, 62, 153, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 62, 191, 71]}, {\"cell\": \"= 1\", \"bbox\": [208, 62, 221, 71]}, {\"cell\": \" Gestational Age (days)\", \"bbox\": [15, 75, 89, 84]}, {\"cell\": \"133.1\", \"bbox\": [136, 75, 155, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 75, 195, 84]}, {\"cell\": \"= 1\", \"bbox\": [208, 75, 221, 84]}, {\"cell\": \" BAL Sat PC (μmol/kg)\", \"bbox\": [15, 88, 87, 97]}, {\"cell\": \"2.5 ± 0.3\", \"bbox\": [130, 88, 160, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 88, 197, 106]}, {\"cell\": \"< 0.001\", \"bbox\": [208, 88, 234, 97]}, {\"cell\": \"<b>V<sub>T </sub>and Compliance</b>\", \"bbox\": [1, 110, 69, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" V<sub>T</sub>/kg at 5 min (mL/kg)\", \"bbox\": [15, 123, 92, 134]}, {\"cell\": \"10.2 ± 0.6\", \"bbox\": [128, 123, 162, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 123, 202, 133]}, {\"cell\": \"= 1\", \"bbox\": [208, 123, 221, 133]}, {\"cell\": \" V<sub>T</sub>/kg at 10 min (mL/kg)\", \"bbox\": [15, 136, 96, 147]}, {\"cell\": \"14.4 ± 0.4\", \"bbox\": [128, 136, 162, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 136, 202, 146]}, {\"cell\": \"= 1\", \"bbox\": [208, 136, 221, 146]}, {\"cell\": \" V<sub>T</sub>/kg at 15 min (mL/kg)\", \"bbox\": [15, 150, 96, 160]}, {\"cell\": \"15.6 ± 0.6\", \"bbox\": [128, 150, 162, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 150, 202, 159]}, {\"cell\": \"= 1\", \"bbox\": [208, 150, 221, 159]}, {\"cell\": \" Compliance 5 min (mL/cmH<sub>2</sub>0/kg)\", \"bbox\": [15, 163, 119, 181]}, {\"cell\": \"0.28 ± 0.02\", \"bbox\": [134, 163, 156, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 163, 197, 181]}, {\"cell\": \"= 0.50\", \"bbox\": [208, 163, 230, 172]}, {\"cell\": \" Compliance 10 min (mL/cmH<sub>2</sub>0/kg)\", \"bbox\": [15, 185, 122, 204]}, {\"cell\": \"0.34 ± 0.01\", \"bbox\": [134, 185, 156, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 185, 197, 204]}, {\"cell\": \"= 0.11\", \"bbox\": [208, 185, 230, 195]}, {\"cell\": \" Compliance 15 min (mL/cmH<sub>2</sub>0/kg)\", \"bbox\": [15, 207, 122, 226]}, {\"cell\": \"0.36 ± 0.02\", \"bbox\": [134, 207, 156, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 207, 197, 226]}, {\"cell\": \"= 0.06\", \"bbox\": [208, 207, 230, 217]}, {\"cell\": \"<b>BAL Fluid</b>\", \"bbox\": [1, 229, 36, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Protein (mg/kg)\", \"bbox\": [15, 243, 68, 252]}, {\"cell\": \"94.4 ± 9.0\", \"bbox\": [128, 243, 162, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 243, 202, 252]}, {\"cell\": \"< 0.002\", \"bbox\": [208, 243, 234, 252]}, {\"cell\": \" Neutrophils (x10<sup>6</sup>/kg)\", \"bbox\": [15, 254, 85, 265]}, {\"cell\": \"74.2 ± 1.8\", \"bbox\": [128, 256, 162, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [169, 256, 202, 265]}, {\"cell\": \"< 0.01\", \"bbox\": [208, 256, 230, 265]}, {\"cell\": \" Monocytes (x10<sup>6</sup>/kg)\", \"bbox\": [15, 267, 83, 278]}, {\"cell\": \"12.3 ± 2.9\", \"bbox\": [128, 269, 162, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 269, 200, 278]}, {\"cell\": \"= 0.49\", \"bbox\": [208, 269, 230, 278]}, {\"cell\": \" MCP-1 protein (ng/ml)\", \"bbox\": [15, 282, 90, 292]}, {\"cell\": \"42.1 ± 5.6\", \"bbox\": [128, 282, 162, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 282, 200, 292]}, {\"cell\": \"< 0.0001\", \"bbox\": [208, 282, 230, 301]}, {\"cell\": \"<b>Lung Tissue </b>(mRNA fold increase)\", \"bbox\": [1, 304, 114, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IL-1β\", \"bbox\": [15, 318, 33, 327]}, {\"cell\": \"19.2 ± 2.3\", \"bbox\": [128, 318, 162, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 318, 200, 327]}, {\"cell\": \"< 0.0001\", \"bbox\": [208, 318, 230, 336]}, {\"cell\": \" IL-6\", \"bbox\": [15, 340, 29, 349]}, {\"cell\": \"49.9 ± 8.0\", \"bbox\": [128, 340, 162, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 340, 200, 349]}, {\"cell\": \"< 0.001\", \"bbox\": [208, 340, 234, 349]}, {\"cell\": \" IL-8\", \"bbox\": [15, 353, 29, 362]}, {\"cell\": \"24.8 ± 4.8\", \"bbox\": [128, 353, 162, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 353, 200, 362]}, {\"cell\": \"< 0.0001\", \"bbox\": [208, 353, 230, 371]}, {\"cell\": \"<b>Injury Scores</b>\", \"bbox\": [1, 375, 47, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" (Out of 8 total points)\", \"bbox\": [15, 388, 88, 398]}, {\"cell\": \"4.8 ± 0.2\", \"bbox\": [130, 388, 160, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 388, 200, 398]}, {\"cell\": \"= 0.02\", \"bbox\": [208, 388, 230, 398]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2978154_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}544{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Nonsurvivors (<i>n</i> = 1031)</b></td><td><b>Survivors (<i>n</i> = 2590)</b></td><td><b>Availability <i>n</i> (%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>37 (0.73)</td><td>37 (0.75)</td><td>3533 (91.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>109 (24)</td><td>100 (24)</td><td>3419 (88.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>54 (16–102)</td><td>56 (16–103)</td><td>3509 (91)</td></tr><tr><td>[EMPTY_CELL]</td><td>24 (8)</td><td>23 (6)</td><td>2733 (70.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>132 (35)</td><td>139 (29)</td><td>2828 (73.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>75 (19)</td><td>79 (16)</td><td>3527 (91.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>9 (2–15)</td><td>15 (2–15)</td><td>3372 (87.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>150 (1.4–242)</td><td>150 (0.4–267)</td><td>423 (11)</td></tr><tr><td>[EMPTY_CELL]</td><td>7.3 (0.15)</td><td>7.4 (0.13)</td><td>512 (13.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>21.3 (27.2)</td><td>18.6 (23.8)</td><td>2228 (57.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>34.7 (8.5)</td><td>35.8 (7)</td><td>463 (12)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.4 (0.3–11.3)</td><td>1.2 (0.4–18)</td><td>496 (12.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>4.2 (1.04)</td><td>4.1 (0.77)</td><td>2774 (72)</td></tr><tr><td>[EMPTY_CELL]</td><td>137.7 (8.9)</td><td>137.1 (6.9)</td><td>2785 (72.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>59 (0.6–411)</td><td>32 (0.9–672)</td><td>1936 (50.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>10.8 (2.8)</td><td>11.6 (2.4)</td><td>1869 (48.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>572 (64.34)</td><td>1860 (91.31)</td><td>2951 (76.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>899 (87)</td><td>2054 (79)</td><td>2978 (77.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>35 (21–100)</td><td>21 (21–100)</td><td>2323 (60.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>1150 (0–7400)</td><td>1300 (0–12000)</td><td>2469 (64)</td></tr><tr><td>[EMPTY_CELL]</td><td>22.3(5.4)</td><td>22.5 (6.5)</td><td>361 (9.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.1 (0.1–39)</td><td>0.7 (0.1–56)</td><td>1272 (33)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"<b>Nonsurvivors (<i>n</i> = 1031)</b>\", \"bbox\": [212, 4, 289, 13]}, {\"cell\": \"<b>Survivors (<i>n</i> = 2590)</b>\", \"bbox\": [327, 4, 391, 13]}, {\"cell\": \"<b>Availability <i>n</i> (%)</b>\", \"bbox\": [430, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 15, 88, 27]}, {\"cell\": \"37 (0.73)\", \"bbox\": [212, 17, 241, 27]}, {\"cell\": \"37 (0.75)\", \"bbox\": [327, 17, 356, 27]}, {\"cell\": \"3533 (91.6)\", \"bbox\": [430, 17, 466, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 29, 49, 41]}, {\"cell\": \"109 (24)\", \"bbox\": [212, 31, 239, 41]}, {\"cell\": \"100 (24)\", \"bbox\": [327, 31, 355, 41]}, {\"cell\": \"3419 (88.7)\", \"bbox\": [430, 31, 466, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 105, 55]}, {\"cell\": \"54 (16–102)\", \"bbox\": [212, 45, 251, 55]}, {\"cell\": \"56 (16–103)\", \"bbox\": [327, 45, 366, 55]}, {\"cell\": \"3509 (91)\", \"bbox\": [430, 45, 461, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 57, 91, 69]}, {\"cell\": \"24 (8)\", \"bbox\": [212, 59, 232, 69]}, {\"cell\": \"23 (6)\", \"bbox\": [327, 59, 347, 69]}, {\"cell\": \"2733 (70.9)\", \"bbox\": [430, 59, 466, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 141, 83]}, {\"cell\": \"132 (35)\", \"bbox\": [212, 73, 239, 83]}, {\"cell\": \"139 (29)\", \"bbox\": [327, 73, 355, 83]}, {\"cell\": \"2828 (73.4)\", \"bbox\": [430, 73, 466, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 85, 123, 97]}, {\"cell\": \"75 (19)\", \"bbox\": [212, 87, 235, 97]}, {\"cell\": \"79 (16)\", \"bbox\": [327, 87, 351, 97]}, {\"cell\": \"3527 (91.5)\", \"bbox\": [430, 87, 466, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 171, 111]}, {\"cell\": \"9 (2–15)\", \"bbox\": [212, 101, 239, 111]}, {\"cell\": \"15 (2–15)\", \"bbox\": [327, 101, 359, 111]}, {\"cell\": \"3372 (87.5)\", \"bbox\": [430, 101, 466, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 113, 113, 125]}, {\"cell\": \"150 (1.4–242)\", \"bbox\": [212, 115, 256, 125]}, {\"cell\": \"150 (0.4–267)\", \"bbox\": [327, 115, 371, 125]}, {\"cell\": \"423 (11)\", \"bbox\": [430, 115, 457, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 18, 139]}, {\"cell\": \"7.3 (0.15)\", \"bbox\": [212, 129, 242, 139]}, {\"cell\": \"7.4 (0.13)\", \"bbox\": [327, 129, 357, 139]}, {\"cell\": \"512 (13.3)\", \"bbox\": [430, 129, 462, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 32, 153]}, {\"cell\": \"21.3 (27.2)\", \"bbox\": [212, 143, 246, 153]}, {\"cell\": \"18.6 (23.8)\", \"bbox\": [327, 143, 361, 153]}, {\"cell\": \"2228 (57.8)\", \"bbox\": [430, 143, 466, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 29, 167]}, {\"cell\": \"34.7 (8.5)\", \"bbox\": [212, 157, 242, 167]}, {\"cell\": \"35.8 (7)\", \"bbox\": [327, 157, 352, 167]}, {\"cell\": \"463 (12)\", \"bbox\": [430, 157, 457, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 169, 142, 181]}, {\"cell\": \"1.4 (0.3–11.3)\", \"bbox\": [212, 171, 255, 181]}, {\"cell\": \"1.2 (0.4–18)\", \"bbox\": [327, 171, 365, 181]}, {\"cell\": \"496 (12.9)\", \"bbox\": [430, 171, 462, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 183, 77, 195]}, {\"cell\": \"4.2 (1.04)\", \"bbox\": [212, 185, 242, 195]}, {\"cell\": \"4.1 (0.77)\", \"bbox\": [327, 185, 357, 195]}, {\"cell\": \"2774 (72)\", \"bbox\": [430, 185, 461, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 197, 69, 209]}, {\"cell\": \"137.7 (8.9)\", \"bbox\": [212, 199, 246, 209]}, {\"cell\": \"137.1 (6.9)\", \"bbox\": [327, 199, 361, 209]}, {\"cell\": \"2785 (72.2)\", \"bbox\": [430, 199, 466, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 211, 173, 223]}, {\"cell\": \"59 (0.6–411)\", \"bbox\": [212, 213, 252, 223]}, {\"cell\": \"32 (0.9–672)\", \"bbox\": [327, 213, 368, 223]}, {\"cell\": \"1936 (50.2)\", \"bbox\": [430, 213, 466, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 225, 86, 237]}, {\"cell\": \"10.8 (2.8)\", \"bbox\": [212, 227, 242, 237]}, {\"cell\": \"11.6 (2.4)\", \"bbox\": [327, 227, 357, 237]}, {\"cell\": \"1869 (48.5)\", \"bbox\": [430, 227, 466, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 239, 94, 251]}, {\"cell\": \"572 (64.34)\", \"bbox\": [212, 241, 248, 251]}, {\"cell\": \"1860 (91.31)\", \"bbox\": [327, 241, 368, 251]}, {\"cell\": \"2951 (76.5)\", \"bbox\": [430, 241, 466, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 253, 124, 265]}, {\"cell\": \"899 (87)\", \"bbox\": [212, 255, 239, 265]}, {\"cell\": \"2054 (79)\", \"bbox\": [327, 255, 359, 265]}, {\"cell\": \"2978 (77.3)\", \"bbox\": [430, 255, 466, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 267, 83, 279]}, {\"cell\": \"35 (21–100)\", \"bbox\": [212, 269, 251, 279]}, {\"cell\": \"21 (21–100)\", \"bbox\": [327, 269, 366, 279]}, {\"cell\": \"2323 (60.3)\", \"bbox\": [430, 269, 466, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 281, 102, 293]}, {\"cell\": \"1150 (0–7400)\", \"bbox\": [212, 283, 259, 293]}, {\"cell\": \"1300 (0–12000)\", \"bbox\": [327, 283, 378, 293]}, {\"cell\": \"2469 (64)\", \"bbox\": [430, 283, 461, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 295, 73, 307]}, {\"cell\": \"22.3(5.4)\", \"bbox\": [212, 297, 240, 307]}, {\"cell\": \"22.5 (6.5)\", \"bbox\": [327, 297, 357, 307]}, {\"cell\": \"361 (9.4)\", \"bbox\": [430, 297, 459, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 309, 113, 321]}, {\"cell\": \"1.1 (0.1–39)\", \"bbox\": [212, 311, 250, 321]}, {\"cell\": \"0.7 (0.1–56)\", \"bbox\": [327, 311, 365, 321]}, {\"cell\": \"1272 (33)\", \"bbox\": [430, 311, 461, 321]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5645891_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}545{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variable</b></td><td rowspan=\\\"2\\\"><b>Category</b></td><td colspan=\\\"2\\\"><b>EQ-5D health utility score self-assessed current health state</b></td><td colspan=\\\"2\\\"><b>Utility decrement associated with moderate AD health state</b></td></tr><tr><td><b>Coefficient</b></td><td><b>Bootstrap SE*</b></td><td><b>Coefficient</b></td><td><b>Bootstrap SE*</b></td></tr></thead><tbody><tr><td>Intercept</td><td>—</td><td>[EMPTY_CELL]</td><td><b>0.0349</b></td><td>0.2650</td><td>0.0580</td></tr><tr><td>Age</td><td>Years</td><td>[EMPTY_CELL]</td><td><b>0.0004</b></td><td><b>−0.0035</b></td><td><b>0.0007</b></td></tr><tr><td>Gender</td><td> Female versus male</td><td>[EMPTY_CELL]</td><td>0.0131</td><td><b>0.0480</b></td><td><b>0.0218</b></td></tr><tr><td>Some college</td><td>Versus high school or less</td><td>[EMPTY_CELL]</td><td>0.0201</td><td>0.0441</td><td>0.0297</td></tr><tr><td> Some university</td><td>Versus high school or less</td><td>[EMPTY_CELL]</td><td>0.0194</td><td><b>0.0784</b></td><td><b>0.0256</b></td></tr><tr><td>Income: $20 to 40 K</td><td>Versus less than $20 K</td><td>[EMPTY_CELL]</td><td><b>0.0256</b></td><td>0.0254</td><td>0.0349</td></tr><tr><td>Income: $40 to 60 K</td><td>Versus less than $20 K</td><td>[EMPTY_CELL]</td><td><b>0.0258</b></td><td>−0.0062</td><td>0.0361</td></tr><tr><td>Income: $60 to 80 K</td><td>Versus less than $20 K</td><td>[EMPTY_CELL]</td><td><b>0.0267</b></td><td>0.0504</td><td>0.0368</td></tr><tr><td>Income: $80 K and +</td><td>Versus less than $20 K</td><td>[EMPTY_CELL]</td><td><b>0.0279</b></td><td>0.0479</td><td>0.0333</td></tr><tr><td>Know someone with AD</td><td>Versus not knowing</td><td>[EMPTY_CELL]</td><td><b>—</b></td><td>0.0032</td><td>0.0215</td></tr><tr><td>ADKT score</td><td>—</td><td>[EMPTY_CELL]</td><td><b>—</b></td><td>0.0107</td><td>0.0099</td></tr><tr><td colspan=\\\"2\\\">Multiple <i>R</i>-squared</td><td colspan=\\\"2\\\">0.1028</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">Adjusted <i>R</i>-squared</td><td colspan=\\\"2\\\">0.0877</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [2, 15, 34, 25]}, {\"cell\": \"<b>Category</b>\", \"bbox\": [85, 15, 119, 25]}, {\"cell\": \"<b>EQ-5D health utility score self-assessed current health state</b>\", \"bbox\": [136, 4, 307, 25]}, {\"cell\": \"<b>Utility decrement associated with moderate AD health state</b>\", \"bbox\": [320, 4, 492, 25]}, {\"cell\": \"<b>Coefficient</b>\", \"bbox\": [156, 29, 198, 39]}, {\"cell\": \"<b>Bootstrap SE*</b>\", \"bbox\": [239, 29, 292, 39]}, {\"cell\": \"<b>Coefficient</b>\", \"bbox\": [340, 29, 381, 39]}, {\"cell\": \"<b>Bootstrap SE*</b>\", \"bbox\": [423, 29, 476, 39]}, {\"cell\": \"Intercept\", \"bbox\": [2, 43, 37, 53]}, {\"cell\": \"—\", \"bbox\": [103, 43, 114, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 43, 190, 51]}, {\"cell\": \"<b>0.0349</b>\", \"bbox\": [253, 43, 279, 51]}, {\"cell\": \"0.2650\", \"bbox\": [348, 43, 373, 53]}, {\"cell\": \"0.0580\", \"bbox\": [436, 43, 462, 53]}, {\"cell\": \"Age\", \"bbox\": [2, 56, 18, 67]}, {\"cell\": \"Years\", \"bbox\": [98, 56, 118, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 57, 193, 65]}, {\"cell\": \"<b>0.0004</b>\", \"bbox\": [253, 57, 279, 65]}, {\"cell\": \"<b>−0.0035</b>\", \"bbox\": [344, 57, 377, 65]}, {\"cell\": \"<b>0.0007</b>\", \"bbox\": [436, 57, 462, 65]}, {\"cell\": \"Gender\", \"bbox\": [2, 75, 31, 85]}, {\"cell\": \" Female versus male\", \"bbox\": [86, 70, 130, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 75, 190, 85]}, {\"cell\": \"0.0131\", \"bbox\": [253, 75, 279, 85]}, {\"cell\": \"<b>0.0480</b>\", \"bbox\": [347, 75, 374, 83]}, {\"cell\": \"<b>0.0218</b>\", \"bbox\": [436, 75, 462, 83]}, {\"cell\": \"Some college\", \"bbox\": [2, 103, 51, 114]}, {\"cell\": \"Versus high school or less\", \"bbox\": [87, 93, 130, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [161, 103, 193, 114]}, {\"cell\": \"0.0201\", \"bbox\": [253, 103, 279, 114]}, {\"cell\": \"0.0441\", \"bbox\": [348, 103, 373, 114]}, {\"cell\": \"0.0297\", \"bbox\": [436, 103, 462, 114]}, {\"cell\": \" Some university\", \"bbox\": [2, 137, 62, 148]}, {\"cell\": \"Versus high school or less\", \"bbox\": [87, 127, 130, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 137, 190, 148]}, {\"cell\": \"0.0194\", \"bbox\": [253, 137, 279, 148]}, {\"cell\": \"<b>0.0784</b>\", \"bbox\": [347, 138, 374, 146]}, {\"cell\": \"<b>0.0256</b>\", \"bbox\": [436, 138, 462, 146]}, {\"cell\": \"Income: $20 to 40 K\", \"bbox\": [2, 166, 76, 177]}, {\"cell\": \"Versus less than $20 K\", \"bbox\": [88, 161, 129, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 167, 190, 175]}, {\"cell\": \"<b>0.0256</b>\", \"bbox\": [253, 167, 279, 175]}, {\"cell\": \"0.0254\", \"bbox\": [348, 166, 373, 177]}, {\"cell\": \"0.0349\", \"bbox\": [436, 166, 462, 177]}, {\"cell\": \"Income: $40 to 60 K\", \"bbox\": [2, 190, 76, 200]}, {\"cell\": \"Versus less than $20 K\", \"bbox\": [88, 184, 129, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 190, 190, 198]}, {\"cell\": \"<b>0.0258</b>\", \"bbox\": [253, 190, 279, 198]}, {\"cell\": \"−0.0062\", \"bbox\": [345, 190, 377, 200]}, {\"cell\": \"0.0361\", \"bbox\": [436, 190, 462, 200]}, {\"cell\": \"Income: $60 to 80 K\", \"bbox\": [2, 213, 76, 224]}, {\"cell\": \"Versus less than $20 K\", \"bbox\": [88, 208, 129, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 214, 190, 222]}, {\"cell\": \"<b>0.0267</b>\", \"bbox\": [253, 214, 279, 222]}, {\"cell\": \"0.0504\", \"bbox\": [348, 213, 373, 224]}, {\"cell\": \"0.0368\", \"bbox\": [436, 213, 462, 224]}, {\"cell\": \"Income: $80 K and +\", \"bbox\": [2, 237, 79, 247]}, {\"cell\": \"Versus less than $20 K\", \"bbox\": [88, 232, 129, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 237, 190, 245]}, {\"cell\": \"<b>0.0279</b>\", \"bbox\": [253, 237, 279, 245]}, {\"cell\": \"0.0479\", \"bbox\": [348, 237, 373, 247]}, {\"cell\": \"0.0333\", \"bbox\": [436, 237, 462, 247]}, {\"cell\": \"Know someone with AD\", \"bbox\": [2, 255, 78, 276]}, {\"cell\": \"Versus not knowing\", \"bbox\": [88, 255, 128, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 261, 183, 269]}, {\"cell\": \"<b>—</b>\", \"bbox\": [260, 261, 271, 269]}, {\"cell\": \"0.0032\", \"bbox\": [348, 260, 373, 271]}, {\"cell\": \"0.0215\", \"bbox\": [436, 260, 462, 271]}, {\"cell\": \"ADKT score\", \"bbox\": [2, 279, 49, 290]}, {\"cell\": \"—\", \"bbox\": [103, 279, 114, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 280, 183, 288]}, {\"cell\": \"<b>—</b>\", \"bbox\": [260, 280, 271, 288]}, {\"cell\": \"0.0107\", \"bbox\": [348, 279, 373, 290]}, {\"cell\": \"0.0099\", \"bbox\": [436, 279, 462, 290]}, {\"cell\": \"Multiple <i>R</i>-squared\", \"bbox\": [31, 292, 103, 303]}, {\"cell\": \"0.1028\", \"bbox\": [213, 292, 238, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 292, 422, 303]}, {\"cell\": \"Adjusted <i>R</i>-squared\", \"bbox\": [31, 306, 103, 316]}, {\"cell\": \"0.0877\", \"bbox\": [213, 306, 238, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 306, 422, 316]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3250621_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}546{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variable</b></td><td colspan=\\\"4\\\"><b><i>Campylobacter</i> spp.</b></td><td colspan=\\\"7\\\"><b><i>C. jejuni</i></b></td></tr><tr><td><b>Coefficient</b></td><td><b>SE</b></td><td><b><i>P</i> value</b></td><td><b>Coefficient</b></td><td><b>SE</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Intercept</td><td>−1.57</td><td>0.32</td><td><0.0001</td><td>−1.71</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td>Species</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.0011</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>NS1</td></tr><tr><td> Duck</td><td>Ref</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Ref</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Starling</td><td>0.42</td><td>0.13</td><td><0.001</td><td>−0.13</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td>Site</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.0011</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.0011</td></tr><tr><td> Esplanade</td><td>Ref</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Ref</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Hokowhitu</td><td>−0.62</td><td>0.2</td><td><0.003</td><td>−0.64</td><td>[EMPTY_CELL]</td><td><0.03</td></tr><tr><td> Memorial Park</td><td>−0.09</td><td>0.19</td><td>NS</td><td>−0.02</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td> Massey</td><td>−0.6</td><td>0.2</td><td><0.004</td><td>−0.67</td><td>[EMPTY_CELL]</td><td><0.02</td></tr><tr><td> Square</td><td>−0.21</td><td>0.2</td><td>NS</td><td>−0.1</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td>Month</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"5\\\"><0.000011</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> August-2008</td><td>0.73</td><td>0.31</td><td><0.05</td><td>0.59</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td> September-2008</td><td>1.58</td><td>0.3</td><td><0.001</td><td>1.72</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> October-2008</td><td>1.56</td><td>0.3</td><td><0.001</td><td>1.68</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> November-2008</td><td>0.57</td><td>0.31</td><td>NS</td><td>0.54</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td> December-2008</td><td>Ref</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Ref</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> January-2009</td><td>0.24</td><td>0.33</td><td>NS</td><td>0.42</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td> February-2009</td><td>0.69</td><td>0.31</td><td><0.05</td><td>0.59</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td> March-2009</td><td>0.41</td><td>0.32</td><td>NS</td><td>0.15</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td> April-2009</td><td>0.92</td><td>0.3</td><td><0.01</td><td>0.7</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td> May-2009</td><td>1.14</td><td>0.3</td><td><0.001</td><td>0.85</td><td>[EMPTY_CELL]</td><td><0.05</td></tr><tr><td> June-2009</td><td>1.12</td><td>0.29</td><td><0.001</td><td>0.75</td><td>[EMPTY_CELL]</td><td><0.05</td></tr><tr><td> July-2009</td><td>1.06</td><td>0.29</td><td><0.001</td><td>0.36</td><td>[EMPTY_CELL]</td><td>NS</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 22, 28, 31]}, {\"cell\": \"<b><i>Campylobacter</i> spp.</b>\", \"bbox\": [103, 6, 169, 15]}, {\"cell\": \"<b><i>C. jejuni</i></b>\", \"bbox\": [305, 6, 334, 15]}, {\"cell\": \"<b>Coefficient</b>\", \"bbox\": [103, 22, 140, 31]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [180, 22, 189, 31]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [236, 22, 261, 31]}, {\"cell\": \"<b>Coefficient</b>\", \"bbox\": [305, 22, 342, 31]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [382, 22, 392, 31]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [438, 22, 463, 31]}, {\"cell\": \"Intercept\", \"bbox\": [1, 40, 31, 49]}, {\"cell\": \"−1.57\", \"bbox\": [104, 40, 126, 49]}, {\"cell\": \"0.32\", \"bbox\": [180, 40, 196, 49]}, {\"cell\": \"<0.0001\", \"bbox\": [237, 40, 266, 49]}, {\"cell\": \"−1.71\", \"bbox\": [306, 40, 328, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 40, 399, 49]}, {\"cell\": \"NS\", \"bbox\": [438, 40, 449, 49]}, {\"cell\": \"Species\", \"bbox\": [1, 50, 26, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0011\", \"bbox\": [237, 49, 265, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NS1\", \"bbox\": [438, 49, 452, 59]}, {\"cell\": \" Duck\", \"bbox\": [8, 61, 26, 70]}, {\"cell\": \"Ref\", \"bbox\": [103, 61, 116, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [305, 61, 318, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Starling\", \"bbox\": [8, 71, 34, 80]}, {\"cell\": \"0.42\", \"bbox\": [110, 71, 126, 80]}, {\"cell\": \"0.13\", \"bbox\": [180, 71, 196, 80]}, {\"cell\": \"<0.001\", \"bbox\": [237, 71, 261, 80]}, {\"cell\": \"−0.13\", \"bbox\": [306, 71, 328, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 71, 399, 80]}, {\"cell\": \"NS\", \"bbox\": [438, 71, 449, 80]}, {\"cell\": \"Site\", \"bbox\": [0, 82, 14, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0011\", \"bbox\": [237, 80, 265, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.0011\", \"bbox\": [439, 80, 467, 91]}, {\"cell\": \" Esplanade\", \"bbox\": [8, 92, 42, 101]}, {\"cell\": \"Ref\", \"bbox\": [103, 92, 116, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [305, 92, 318, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hokowhitu\", \"bbox\": [8, 102, 45, 112]}, {\"cell\": \"−0.62\", \"bbox\": [104, 102, 126, 112]}, {\"cell\": \"0.2\", \"bbox\": [180, 102, 192, 112]}, {\"cell\": \"<0.003\", \"bbox\": [237, 102, 261, 112]}, {\"cell\": \"−0.64\", \"bbox\": [306, 102, 328, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 102, 395, 112]}, {\"cell\": \"<0.03\", \"bbox\": [439, 102, 460, 112]}, {\"cell\": \" Memorial Park\", \"bbox\": [8, 113, 56, 122]}, {\"cell\": \"−0.09\", \"bbox\": [104, 113, 126, 122]}, {\"cell\": \"0.19\", \"bbox\": [180, 113, 196, 122]}, {\"cell\": \"NS\", \"bbox\": [236, 113, 247, 122]}, {\"cell\": \"−0.02\", \"bbox\": [306, 113, 328, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 113, 399, 122]}, {\"cell\": \"NS\", \"bbox\": [438, 113, 449, 122]}, {\"cell\": \" Massey\", \"bbox\": [8, 123, 33, 133]}, {\"cell\": \"−0.6\", \"bbox\": [104, 123, 122, 133]}, {\"cell\": \"0.2\", \"bbox\": [180, 123, 192, 133]}, {\"cell\": \"<0.004\", \"bbox\": [237, 123, 261, 133]}, {\"cell\": \"−0.67\", \"bbox\": [306, 123, 328, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 123, 395, 133]}, {\"cell\": \"<0.02\", \"bbox\": [439, 123, 460, 133]}, {\"cell\": \" Square\", \"bbox\": [8, 134, 32, 143]}, {\"cell\": \"−0.21\", \"bbox\": [104, 134, 126, 143]}, {\"cell\": \"0.2\", \"bbox\": [180, 134, 192, 143]}, {\"cell\": \"NS\", \"bbox\": [236, 134, 247, 143]}, {\"cell\": \"−0.1\", \"bbox\": [306, 134, 324, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 134, 399, 143]}, {\"cell\": \"NS\", \"bbox\": [438, 134, 449, 143]}, {\"cell\": \"Month\", \"bbox\": [1, 144, 24, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.000011\", \"bbox\": [237, 143, 273, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 143, 475, 154]}, {\"cell\": \" August-2008\", \"bbox\": [8, 155, 52, 164]}, {\"cell\": \"0.73\", \"bbox\": [110, 155, 126, 164]}, {\"cell\": \"0.31\", \"bbox\": [180, 155, 196, 164]}, {\"cell\": \"<0.05\", \"bbox\": [237, 155, 257, 164]}, {\"cell\": \"0.59\", \"bbox\": [312, 155, 328, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 155, 399, 164]}, {\"cell\": \"NS\", \"bbox\": [438, 155, 449, 164]}, {\"cell\": \" September-2008\", \"bbox\": [8, 165, 63, 175]}, {\"cell\": \"1.58\", \"bbox\": [110, 165, 126, 175]}, {\"cell\": \"0.3\", \"bbox\": [180, 165, 192, 175]}, {\"cell\": \"<0.001\", \"bbox\": [237, 165, 261, 175]}, {\"cell\": \"1.72\", \"bbox\": [312, 165, 328, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 165, 399, 175]}, {\"cell\": \"<0.001\", \"bbox\": [439, 165, 464, 175]}, {\"cell\": \" October-2008\", \"bbox\": [8, 176, 55, 185]}, {\"cell\": \"1.56\", \"bbox\": [110, 176, 126, 185]}, {\"cell\": \"0.3\", \"bbox\": [180, 176, 192, 185]}, {\"cell\": \"<0.001\", \"bbox\": [237, 176, 261, 185]}, {\"cell\": \"1.68\", \"bbox\": [312, 176, 328, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 176, 399, 185]}, {\"cell\": \"<0.001\", \"bbox\": [439, 176, 464, 185]}, {\"cell\": \" November-2008\", \"bbox\": [8, 186, 62, 195]}, {\"cell\": \"0.57\", \"bbox\": [110, 186, 126, 195]}, {\"cell\": \"0.31\", \"bbox\": [180, 186, 196, 195]}, {\"cell\": \"NS\", \"bbox\": [236, 186, 247, 195]}, {\"cell\": \"0.54\", \"bbox\": [312, 186, 328, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 186, 399, 195]}, {\"cell\": \"NS\", \"bbox\": [438, 186, 449, 195]}, {\"cell\": \" December-2008\", \"bbox\": [8, 197, 61, 206]}, {\"cell\": \"Ref\", \"bbox\": [103, 197, 116, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref\", \"bbox\": [305, 197, 318, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" January-2009\", \"bbox\": [8, 207, 53, 216]}, {\"cell\": \"0.24\", \"bbox\": [110, 207, 126, 216]}, {\"cell\": \"0.33\", \"bbox\": [180, 207, 196, 216]}, {\"cell\": \"NS\", \"bbox\": [236, 207, 247, 216]}, {\"cell\": \"0.42\", \"bbox\": [312, 207, 328, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 207, 399, 216]}, {\"cell\": \"NS\", \"bbox\": [438, 207, 449, 216]}, {\"cell\": \" February-2009\", \"bbox\": [8, 217, 56, 227]}, {\"cell\": \"0.69\", \"bbox\": [110, 217, 126, 227]}, {\"cell\": \"0.31\", \"bbox\": [180, 217, 196, 227]}, {\"cell\": \"<0.05\", \"bbox\": [237, 217, 257, 227]}, {\"cell\": \"0.59\", \"bbox\": [312, 217, 328, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 217, 399, 227]}, {\"cell\": \"NS\", \"bbox\": [438, 217, 449, 227]}, {\"cell\": \" March-2009\", \"bbox\": [8, 228, 49, 237]}, {\"cell\": \"0.41\", \"bbox\": [110, 228, 126, 237]}, {\"cell\": \"0.32\", \"bbox\": [180, 228, 196, 237]}, {\"cell\": \"NS\", \"bbox\": [236, 228, 247, 237]}, {\"cell\": \"0.15\", \"bbox\": [312, 228, 328, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 228, 399, 237]}, {\"cell\": \"NS\", \"bbox\": [438, 228, 449, 237]}, {\"cell\": \" April-2009\", \"bbox\": [8, 238, 44, 248]}, {\"cell\": \"0.92\", \"bbox\": [110, 238, 126, 248]}, {\"cell\": \"0.3\", \"bbox\": [180, 238, 192, 248]}, {\"cell\": \"<0.01\", \"bbox\": [237, 238, 257, 248]}, {\"cell\": \"0.7\", \"bbox\": [312, 238, 324, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 238, 399, 248]}, {\"cell\": \"NS\", \"bbox\": [438, 238, 449, 248]}, {\"cell\": \" May-2009\", \"bbox\": [8, 249, 43, 258]}, {\"cell\": \"1.14\", \"bbox\": [110, 249, 126, 258]}, {\"cell\": \"0.3\", \"bbox\": [180, 249, 192, 258]}, {\"cell\": \"<0.001\", \"bbox\": [237, 249, 261, 258]}, {\"cell\": \"0.85\", \"bbox\": [312, 249, 328, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 249, 395, 258]}, {\"cell\": \"<0.05\", \"bbox\": [439, 249, 460, 258]}, {\"cell\": \" June-2009\", \"bbox\": [8, 259, 43, 269]}, {\"cell\": \"1.12\", \"bbox\": [110, 259, 126, 269]}, {\"cell\": \"0.29\", \"bbox\": [180, 259, 196, 269]}, {\"cell\": \"<0.001\", \"bbox\": [237, 259, 261, 269]}, {\"cell\": \"0.75\", \"bbox\": [312, 259, 328, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 259, 399, 269]}, {\"cell\": \"<0.05\", \"bbox\": [439, 259, 460, 269]}, {\"cell\": \" July-2009\", \"bbox\": [8, 270, 41, 279]}, {\"cell\": \"1.06\", \"bbox\": [110, 270, 126, 279]}, {\"cell\": \"0.29\", \"bbox\": [180, 270, 196, 279]}, {\"cell\": \"<0.001\", \"bbox\": [237, 270, 261, 279]}, {\"cell\": \"0.36\", \"bbox\": [312, 270, 328, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 270, 399, 279]}, {\"cell\": \"NS\", \"bbox\": [438, 270, 449, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3831628_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}547{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td><b>All (n = 578)</b></td><td><b>Male (n = 247)</b></td><td><b>Female (n = 331)</b></td><td><b><i>P</i><sup>a</sup></b></td></tr></thead><tbody><tr><td>Age at onset (mean ± SD)</td><td>[EMPTY_CELL]</td><td>35.2 ± 12.1</td><td>37.8 ± 12.0</td><td><b>0.013</b><sup><b>b</b></sup></td></tr><tr><td>Observation period (mean ± SD)</td><td>[EMPTY_CELL]</td><td>8.2 ± 7.6</td><td>9.6 ± 8.4</td><td><b>0.036</b><sup><b>b</b></sup></td></tr><tr><td>HLA-B51, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>88/170 (51.8)</td><td>89/182 (48.9)</td><td>0.59</td></tr><tr><td>Oral ulcer, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>246 (99.6)</td><td>326 (98.5)</td><td>0.11</td></tr><tr><td>Genital ulcer, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>141 (57.3)</td><td>276 (83.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Eye involvement, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>181 (73.3)</td><td>175 (52.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Skin involvement, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>212 (85.8)</td><td>301 (90.9)</td><td>0.055</td></tr><tr><td>Arthritis, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>104 (42.1)</td><td>197 (59.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>Epididymitis, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>14 (5.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Gastrointestinal involvement, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>26 (10.5)</td><td>45 (13.6)</td><td>0.069</td></tr><tr><td>CNS involvement, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>34 (13.8)</td><td>25 (7.6)</td><td><b>0.015</b></td></tr><tr><td>Vascular involvement, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>25 (10.1)</td><td>21 (6.3)</td><td>0.097</td></tr><tr><td>Fulfilling ISG, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>213 (86.2)</td><td>304 (91.8)</td><td><b>0.030</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"<b>All (n = 578)</b>\", \"bbox\": [162, 4, 202, 13]}, {\"cell\": \"<b>Male (n = 247)</b>\", \"bbox\": [256, 4, 304, 13]}, {\"cell\": \"<b>Female (n = 331)</b>\", \"bbox\": [352, 4, 407, 13]}, {\"cell\": \"<b><i>P</i><sup>a</sup></b>\", \"bbox\": [455, 2, 463, 12]}, {\"cell\": \"Age at onset (mean ± SD)\", \"bbox\": [1, 17, 85, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 17, 197, 27]}, {\"cell\": \"35.2 ± 12.1\", \"bbox\": [256, 17, 292, 27]}, {\"cell\": \"37.8 ± 12.0\", \"bbox\": [352, 17, 387, 27]}, {\"cell\": \"<b>0.013</b><sup><b>b</b></sup>\", \"bbox\": [455, 15, 479, 25]}, {\"cell\": \"Observation period (mean ± SD)\", \"bbox\": [1, 31, 105, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 31, 189, 41]}, {\"cell\": \"8.2 ± 7.6\", \"bbox\": [256, 31, 284, 41]}, {\"cell\": \"9.6 ± 8.4\", \"bbox\": [352, 31, 379, 41]}, {\"cell\": \"<b>0.036</b><sup><b>b</b></sup>\", \"bbox\": [455, 29, 481, 39]}, {\"cell\": \"HLA-B51, <i>n</i> (%)\", \"bbox\": [1, 45, 50, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 45, 209, 55]}, {\"cell\": \"88/170 (51.8)\", \"bbox\": [256, 45, 300, 55]}, {\"cell\": \"89/182 (48.9)\", \"bbox\": [352, 45, 395, 55]}, {\"cell\": \"0.59\", \"bbox\": [455, 45, 469, 55]}, {\"cell\": \"Oral ulcer, <i>n</i> (%)\", \"bbox\": [1, 59, 53, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 59, 194, 69]}, {\"cell\": \"246 (99.6)\", \"bbox\": [256, 59, 289, 69]}, {\"cell\": \"326 (98.5)\", \"bbox\": [352, 59, 384, 69]}, {\"cell\": \"0.11\", \"bbox\": [455, 59, 469, 69]}, {\"cell\": \"Genital ulcer, <i>n</i> (%)\", \"bbox\": [1, 73, 63, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 73, 194, 83]}, {\"cell\": \"141 (57.3)\", \"bbox\": [256, 73, 289, 83]}, {\"cell\": \"276 (83.4)\", \"bbox\": [352, 73, 384, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 73, 484, 81]}, {\"cell\": \"Eye involvement, <i>n</i> (%)\", \"bbox\": [1, 87, 76, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 87, 194, 97]}, {\"cell\": \"181 (73.3)\", \"bbox\": [256, 87, 289, 97]}, {\"cell\": \"175 (52.9)\", \"bbox\": [352, 87, 384, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 87, 484, 95]}, {\"cell\": \"Skin involvement, <i>n</i> (%)\", \"bbox\": [1, 101, 78, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 101, 194, 111]}, {\"cell\": \"212 (85.8)\", \"bbox\": [256, 101, 289, 111]}, {\"cell\": \"301 (90.9)\", \"bbox\": [352, 101, 384, 111]}, {\"cell\": \"0.055\", \"bbox\": [455, 101, 473, 111]}, {\"cell\": \"Arthritis, <i>n</i> (%)\", \"bbox\": [1, 115, 47, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 115, 194, 125]}, {\"cell\": \"104 (42.1)\", \"bbox\": [256, 115, 289, 125]}, {\"cell\": \"197 (59.5)\", \"bbox\": [352, 115, 384, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 115, 484, 123]}, {\"cell\": \"Epididymitis, <i>n</i> (%)\", \"bbox\": [1, 129, 61, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 129, 187, 139]}, {\"cell\": \"14 (5.7)\", \"bbox\": [256, 129, 282, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gastrointestinal involvement, <i>n</i> (%)\", \"bbox\": [1, 143, 114, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 143, 188, 153]}, {\"cell\": \"26 (10.5)\", \"bbox\": [256, 143, 285, 153]}, {\"cell\": \"45 (13.6)\", \"bbox\": [352, 143, 381, 153]}, {\"cell\": \"0.069\", \"bbox\": [455, 143, 473, 153]}, {\"cell\": \"CNS involvement, <i>n</i> (%)\", \"bbox\": [1, 157, 78, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 157, 191, 167]}, {\"cell\": \"34 (13.8)\", \"bbox\": [256, 157, 285, 167]}, {\"cell\": \"25 (7.6)\", \"bbox\": [352, 157, 377, 167]}, {\"cell\": \"<b>0.015</b>\", \"bbox\": [455, 157, 475, 165]}, {\"cell\": \"Vascular involvement, <i>n</i> (%)\", \"bbox\": [1, 171, 90, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 171, 187, 181]}, {\"cell\": \"25 (10.1)\", \"bbox\": [256, 171, 285, 181]}, {\"cell\": \"21 (6.3)\", \"bbox\": [352, 171, 377, 181]}, {\"cell\": \"0.097\", \"bbox\": [455, 171, 473, 181]}, {\"cell\": \"Fulfilling ISG, <i>n</i> (%)\", \"bbox\": [1, 185, 62, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [162, 185, 194, 195]}, {\"cell\": \"213 (86.2)\", \"bbox\": [256, 185, 289, 195]}, {\"cell\": \"304 (91.8)\", \"bbox\": [352, 185, 384, 195]}, {\"cell\": \"<b>0.030</b>\", \"bbox\": [455, 185, 475, 193]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5048408_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}548{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Variable</b></td><td><b>Number of patients</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Male</td><td>53</td></tr><tr><td>[EMPTY_CELL]</td><td>Female</td><td>43</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><39</td><td>3</td></tr><tr><td>[EMPTY_CELL]</td><td>40-49</td><td>5</td></tr><tr><td>[EMPTY_CELL]</td><td>50-59</td><td>19</td></tr><tr><td>[EMPTY_CELL]</td><td>60-69</td><td>32</td></tr><tr><td>[EMPTY_CELL]</td><td>70-79</td><td>19</td></tr><tr><td>[EMPTY_CELL]</td><td>80-89</td><td>17</td></tr><tr><td>[EMPTY_CELL]</td><td>>90</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Tis</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>T1</td><td>5</td></tr><tr><td>[EMPTY_CELL]</td><td>T2</td><td>11</td></tr><tr><td>[EMPTY_CELL]</td><td>T3</td><td>43</td></tr><tr><td>[EMPTY_CELL]</td><td>T4</td><td>36</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>N0</td><td>57</td></tr><tr><td>[EMPTY_CELL]</td><td>N1</td><td>14</td></tr><tr><td>[EMPTY_CELL]</td><td>N2</td><td>23</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>M0</td><td>75</td></tr><tr><td>[EMPTY_CELL]</td><td>M1</td><td>21</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>I</td><td>13</td></tr><tr><td>[EMPTY_CELL]</td><td>II</td><td>38</td></tr><tr><td>[EMPTY_CELL]</td><td>III</td><td>23</td></tr><tr><td>[EMPTY_CELL]</td><td>IV</td><td>21</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Wild type</td><td>70</td></tr><tr><td>[EMPTY_CELL]</td><td>Mutation</td><td>26</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Before treatment</td><td>53</td></tr><tr><td>[EMPTY_CELL]</td><td>After treatment</td><td>43</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Variable</b>\", \"bbox\": [231, 6, 269, 16]}, {\"cell\": \"<b>Number of patients</b>\", \"bbox\": [369, 6, 454, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 23, 35, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [239, 40, 261, 51]}, {\"cell\": \"53\", \"bbox\": [406, 40, 418, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [234, 57, 266, 68]}, {\"cell\": \"43\", \"bbox\": [406, 57, 418, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 74, 72, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<39\", \"bbox\": [241, 91, 259, 102]}, {\"cell\": \"3\", \"bbox\": [408, 91, 415, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40-49\", \"bbox\": [237, 108, 263, 119]}, {\"cell\": \"5\", \"bbox\": [408, 108, 415, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50-59\", \"bbox\": [237, 125, 263, 136]}, {\"cell\": \"19\", \"bbox\": [406, 125, 418, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"60-69\", \"bbox\": [237, 142, 263, 153]}, {\"cell\": \"32\", \"bbox\": [406, 142, 418, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70-79\", \"bbox\": [237, 159, 263, 170]}, {\"cell\": \"19\", \"bbox\": [406, 159, 418, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"80-89\", \"bbox\": [237, 176, 263, 187]}, {\"cell\": \"17\", \"bbox\": [406, 176, 418, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">90\", \"bbox\": [241, 193, 259, 204]}, {\"cell\": \"1\", \"bbox\": [408, 193, 415, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 209, 36, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tis\", \"bbox\": [243, 226, 257, 237]}, {\"cell\": \"1\", \"bbox\": [408, 226, 415, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T1\", \"bbox\": [243, 243, 257, 254]}, {\"cell\": \"5\", \"bbox\": [408, 243, 415, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T2\", \"bbox\": [243, 260, 257, 271]}, {\"cell\": \"11\", \"bbox\": [406, 260, 417, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T3\", \"bbox\": [243, 277, 257, 288]}, {\"cell\": \"43\", \"bbox\": [406, 277, 418, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T4\", \"bbox\": [243, 294, 257, 305]}, {\"cell\": \"36\", \"bbox\": [406, 294, 418, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 311, 41, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N0\", \"bbox\": [243, 328, 257, 339]}, {\"cell\": \"57\", \"bbox\": [406, 328, 418, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N1\", \"bbox\": [243, 345, 257, 356]}, {\"cell\": \"14\", \"bbox\": [406, 345, 418, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N2\", \"bbox\": [243, 362, 257, 373]}, {\"cell\": \"23\", \"bbox\": [406, 362, 418, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 379, 40, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"M0\", \"bbox\": [242, 396, 258, 407]}, {\"cell\": \"75\", \"bbox\": [406, 396, 418, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"M1\", \"bbox\": [242, 413, 258, 424]}, {\"cell\": \"21\", \"bbox\": [406, 413, 418, 424]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 430, 66, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [247, 447, 254, 458]}, {\"cell\": \"1\", \"bbox\": [408, 447, 415, 458]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"I\", \"bbox\": [247, 463, 253, 475]}, {\"cell\": \"13\", \"bbox\": [406, 463, 418, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [246, 480, 254, 491]}, {\"cell\": \"38\", \"bbox\": [406, 480, 418, 491]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [244, 497, 256, 508]}, {\"cell\": \"23\", \"bbox\": [406, 497, 418, 508]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IV\", \"bbox\": [244, 514, 256, 525]}, {\"cell\": \"21\", \"bbox\": [406, 514, 418, 525]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 531, 70, 542]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Wild type\", \"bbox\": [229, 548, 271, 559]}, {\"cell\": \"70\", \"bbox\": [406, 548, 418, 559]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mutation\", \"bbox\": [231, 565, 269, 576]}, {\"cell\": \"26\", \"bbox\": [406, 565, 418, 576]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 582, 74, 593]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before treatment\", \"bbox\": [215, 599, 285, 610]}, {\"cell\": \"53\", \"bbox\": [406, 599, 418, 610]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"After treatment\", \"bbox\": [218, 616, 282, 627]}, {\"cell\": \"43\", \"bbox\": [406, 616, 418, 627]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5685733_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}549{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Sample time</b></td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\"><b>Cohen’s d (Trial Mean)</b></td><td colspan=\\\"3\\\"><b>Statistical significance (<i>P</i> values)</b></td></tr><tr><td><b>Pre</b></td><td><b>Mid</b></td><td><b>Post</b></td><td><b>~12 h post</b></td><td><b>Trial Mean</b></td><td><b>Treatment</b></td><td><b>Time</b></td><td><b>Treatment x Time</b></td></tr></thead><tbody><tr><td colspan=\\\"10\\\">Average torque (Nm)</td></tr><tr><td colspan=\\\"10\\\"> <i>Concentric knee flexor</i></td></tr><tr><td> PLA</td><td>79.7 ± 21.2</td><td>77.9 ± 23.4</td><td>77.1 ± 20.8</td><td>[EMPTY_CELL]</td><td>77.6 ± 20.3</td><td rowspan=\\\"2\\\">0.11</td><td rowspan=\\\"2\\\">0.327</td><td rowspan=\\\"2\\\">0.920</td><td rowspan=\\\"2\\\">0.222</td></tr><tr><td> CAFF</td><td>75.9 ± 19.8</td><td>80.6 ± 17.3</td><td>80.2 ± 20.1</td><td>[EMPTY_CELL]</td><td>79.8 ± 18.5</td></tr><tr><td colspan=\\\"10\\\"> <i>Concentric knee extensor</i></td></tr><tr><td> PLA</td><td>104.4 ± 34.6</td><td>105.0 ± 35.7</td><td>111.8 ± 43.2</td><td>[EMPTY_CELL]</td><td>106.0 ± 35.5</td><td rowspan=\\\"2\\\">0.29</td><td rowspan=\\\"2\\\">0.053</td><td rowspan=\\\"2\\\">0.678</td><td rowspan=\\\"2\\\">0.257</td></tr><tr><td> CAFF</td><td>112.6 ± 45.3</td><td>115.7 ± 33.7</td><td>114.4 ± 32.3</td><td>[EMPTY_CELL]</td><td>116.8 ± 37.8</td></tr><tr><td colspan=\\\"10\\\">Average power (Watts)</td></tr><tr><td colspan=\\\"10\\\"> <i>Concentric knee flexor</i></td></tr><tr><td> PLA</td><td>25.7 ± 7.5</td><td>23.7 ± 6.5</td><td>24.0 ± 7.1</td><td>[EMPTY_CELL]</td><td>24.5 ± 6.6</td><td rowspan=\\\"2\\\">0.11</td><td rowspan=\\\"2\\\">0.274</td><td rowspan=\\\"2\\\">0.076</td><td rowspan=\\\"2\\\">0.385</td></tr><tr><td> CAFF</td><td>24.8 ± 7.1</td><td>24.5 ± 7.4</td><td>24.5 ± 5.8</td><td>[EMPTY_CELL]</td><td>25.2 ± 6.6</td></tr><tr><td colspan=\\\"10\\\"> <i>Concentric knee extensor</i></td></tr><tr><td> PLA</td><td>24.3 ± 8.7</td><td>23.8 ± 9.0</td><td>25.5 ± 9.2</td><td>[EMPTY_CELL]</td><td>24.3 ± 8.4</td><td rowspan=\\\"2\\\">0.23</td><td rowspan=\\\"2\\\">0.151</td><td rowspan=\\\"2\\\">0.372</td><td rowspan=\\\"2\\\">0.069</td></tr><tr><td> CAFF</td><td>23.1 ± 8.0</td><td>26.7 ± 8.0</td><td>27.0 ± 8.1</td><td>[EMPTY_CELL]</td><td>26.2 ± 8.3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Sample time</b>\", \"bbox\": [115, 4, 157, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Cohen’s d (Trial Mean)</b>\", \"bbox\": [297, 4, 336, 22]}, {\"cell\": \"<b>Statistical significance (<i>P</i> values)</b>\", \"bbox\": [365, 4, 468, 13]}, {\"cell\": \"<b>Pre</b>\", \"bbox\": [53, 17, 65, 27]}, {\"cell\": \"<b>Mid</b>\", \"bbox\": [103, 17, 117, 27]}, {\"cell\": \"<b>Post</b>\", \"bbox\": [154, 17, 170, 27]}, {\"cell\": \"<b>~12 h post</b>\", \"bbox\": [195, 17, 232, 27]}, {\"cell\": \"<b>Trial Mean</b>\", \"bbox\": [247, 17, 282, 27]}, {\"cell\": \"<b>Treatment</b>\", \"bbox\": [348, 17, 383, 27]}, {\"cell\": \"<b>Time</b>\", \"bbox\": [396, 17, 413, 27]}, {\"cell\": \"<b>Treatment x Time</b>\", \"bbox\": [426, 17, 484, 27]}, {\"cell\": \"Average torque (Nm)\", \"bbox\": [0, 30, 70, 40]}, {\"cell\": \" <i>Concentric knee flexor</i>\", \"bbox\": [8, 44, 78, 52]}, {\"cell\": \" PLA\", \"bbox\": [8, 58, 23, 68]}, {\"cell\": \"79.7 ± 21.2\", \"bbox\": [41, 58, 77, 68]}, {\"cell\": \"77.9 ± 23.4\", \"bbox\": [93, 58, 128, 68]}, {\"cell\": \"77.1 ± 20.8\", \"bbox\": [144, 58, 180, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 58, 231, 68]}, {\"cell\": \"77.6 ± 20.3\", \"bbox\": [247, 58, 283, 68]}, {\"cell\": \"0.11\", \"bbox\": [309, 58, 324, 68]}, {\"cell\": \"0.327\", \"bbox\": [356, 58, 375, 68]}, {\"cell\": \"0.920\", \"bbox\": [395, 58, 414, 68]}, {\"cell\": \"0.222\", \"bbox\": [446, 58, 464, 68]}, {\"cell\": \" CAFF\", \"bbox\": [8, 72, 27, 82]}, {\"cell\": \"75.9 ± 19.8\", \"bbox\": [41, 72, 77, 82]}, {\"cell\": \"80.6 ± 17.3\", \"bbox\": [93, 72, 128, 82]}, {\"cell\": \"80.2 ± 20.1\", \"bbox\": [144, 72, 180, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 72, 231, 82]}, {\"cell\": \"79.8 ± 18.5\", \"bbox\": [247, 72, 283, 82]}, {\"cell\": \" <i>Concentric knee extensor</i>\", \"bbox\": [8, 86, 87, 94]}, {\"cell\": \" PLA\", \"bbox\": [8, 100, 23, 110]}, {\"cell\": \"104.4 ± 34.6\", \"bbox\": [39, 100, 78, 110]}, {\"cell\": \"105.0 ± 35.7\", \"bbox\": [91, 100, 130, 110]}, {\"cell\": \"111.8 ± 43.2\", \"bbox\": [142, 100, 181, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 100, 233, 110]}, {\"cell\": \"106.0 ± 35.5\", \"bbox\": [245, 100, 284, 110]}, {\"cell\": \"0.29\", \"bbox\": [309, 100, 324, 110]}, {\"cell\": \"0.053\", \"bbox\": [356, 100, 375, 110]}, {\"cell\": \"0.678\", \"bbox\": [395, 100, 414, 110]}, {\"cell\": \"0.257\", \"bbox\": [446, 100, 464, 110]}, {\"cell\": \" CAFF\", \"bbox\": [8, 114, 27, 124]}, {\"cell\": \"112.6 ± 45.3\", \"bbox\": [39, 114, 78, 124]}, {\"cell\": \"115.7 ± 33.7\", \"bbox\": [91, 114, 130, 124]}, {\"cell\": \"114.4 ± 32.3\", \"bbox\": [142, 114, 181, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 114, 233, 124]}, {\"cell\": \"116.8 ± 37.8\", \"bbox\": [245, 114, 284, 124]}, {\"cell\": \"Average power (Watts)\", \"bbox\": [0, 128, 76, 138]}, {\"cell\": \" <i>Concentric knee flexor</i>\", \"bbox\": [8, 142, 78, 150]}, {\"cell\": \" PLA\", \"bbox\": [8, 156, 23, 166]}, {\"cell\": \"25.7 ± 7.5\", \"bbox\": [43, 156, 75, 166]}, {\"cell\": \"23.7 ± 6.5\", \"bbox\": [94, 156, 126, 166]}, {\"cell\": \"24.0 ± 7.1\", \"bbox\": [146, 156, 178, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 156, 229, 166]}, {\"cell\": \"24.5 ± 6.6\", \"bbox\": [249, 156, 281, 166]}, {\"cell\": \"0.11\", \"bbox\": [309, 156, 324, 166]}, {\"cell\": \"0.274\", \"bbox\": [356, 156, 375, 166]}, {\"cell\": \"0.076\", \"bbox\": [395, 156, 414, 166]}, {\"cell\": \"0.385\", \"bbox\": [446, 156, 464, 166]}, {\"cell\": \" CAFF\", \"bbox\": [8, 170, 27, 180]}, {\"cell\": \"24.8 ± 7.1\", \"bbox\": [43, 170, 75, 180]}, {\"cell\": \"24.5 ± 7.4\", \"bbox\": [94, 170, 126, 180]}, {\"cell\": \"24.5 ± 5.8\", \"bbox\": [146, 170, 178, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 170, 229, 180]}, {\"cell\": \"25.2 ± 6.6\", \"bbox\": [249, 170, 281, 180]}, {\"cell\": \" <i>Concentric knee extensor</i>\", \"bbox\": [8, 184, 87, 192]}, {\"cell\": \" PLA\", \"bbox\": [8, 198, 23, 208]}, {\"cell\": \"24.3 ± 8.7\", \"bbox\": [43, 198, 75, 208]}, {\"cell\": \"23.8 ± 9.0\", \"bbox\": [94, 198, 126, 208]}, {\"cell\": \"25.5 ± 9.2\", \"bbox\": [146, 198, 178, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 198, 229, 208]}, {\"cell\": \"24.3 ± 8.4\", \"bbox\": [249, 198, 281, 208]}, {\"cell\": \"0.23\", \"bbox\": [309, 198, 324, 208]}, {\"cell\": \"0.151\", \"bbox\": [356, 198, 375, 208]}, {\"cell\": \"0.372\", \"bbox\": [395, 198, 414, 208]}, {\"cell\": \"0.069\", \"bbox\": [446, 198, 464, 208]}, {\"cell\": \" CAFF\", \"bbox\": [8, 212, 27, 222]}, {\"cell\": \"23.1 ± 8.0\", \"bbox\": [43, 212, 75, 222]}, {\"cell\": \"26.7 ± 8.0\", \"bbox\": [94, 212, 126, 222]}, {\"cell\": \"27.0 ± 8.1\", \"bbox\": [146, 212, 178, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 212, 229, 222]}, {\"cell\": \"26.2 ± 8.3\", \"bbox\": [249, 212, 281, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5139084_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}550{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Primary Vaccine</b></td><td colspan=\\\"6\\\"><b>Group A–Specific IgG1 GMCs (95% CI), μg/mL</b></td></tr><tr><td><b>Week 0</b></td><td><b>Week 4</b></td><td><b>Week 40</b></td><td><b>Revaccination</b></td><td><b>Week 41</b></td><td><b>Week 44</b></td></tr></thead><tbody><tr><td>PsA-TT<sup>a</sup></td><td>0.46 (.40–.52)</td><td>21.73 (19.14–24.67)</td><td>1.29 (1.12–1.48)</td><td>PsA-TT</td><td>[EMPTY_CELL]</td><td>69.13 (51.60–92.61)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>PsACWY</td><td>[EMPTY_CELL]</td><td>19.20 (14.72–25.04)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Hib-TT</td><td>[EMPTY_CELL]</td><td>1.61 (1.09–2.37)</td></tr><tr><td>PsACWY<sup>b</sup></td><td>0.62 (.54–.70)</td><td>2.01 (1.74–2.33)</td><td>0.82 (.71–.94)</td><td>PsA-TT</td><td>[EMPTY_CELL]</td><td>27.03 (19.23–38.00)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>PsACWY</td><td>[EMPTY_CELL]</td><td>2.98 (2.26–3.94)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Hib-TT</td><td>[EMPTY_CELL]</td><td>0.73 (.57–.93)</td></tr><tr><td>Hib-TT<sup>c</sup></td><td>NA</td><td>NA</td><td>0.44 (.36–.53)</td><td>PsA-TT</td><td>[EMPTY_CELL]</td><td>20.47 (13.78–30.41)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>PsACWY</td><td>[EMPTY_CELL]</td><td>1.88 (1.26–2.80)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Hib-TT</td><td>[EMPTY_CELL]</td><td>0.38 (.27–.53)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Primary Vaccine</b>\", \"bbox\": [0, 26, 59, 36]}, {\"cell\": \"<b>Group A–Specific IgG1 GMCs (95% CI), μg/mL</b>\", \"bbox\": [200, 8, 367, 18]}, {\"cell\": \"<b>Week 0</b>\", \"bbox\": [78, 26, 108, 36]}, {\"cell\": \"<b>Week 4</b>\", \"bbox\": [149, 26, 178, 36]}, {\"cell\": \"<b>Week 40</b>\", \"bbox\": [221, 26, 255, 36]}, {\"cell\": \"<b>Revaccination</b>\", \"bbox\": [277, 26, 327, 36]}, {\"cell\": \"<b>Week 41</b>\", \"bbox\": [360, 26, 394, 36]}, {\"cell\": \"<b>Week 44</b>\", \"bbox\": [446, 26, 479, 36]}, {\"cell\": \"PsA-TT<sup>a</sup>\", \"bbox\": [1, 40, 30, 51]}, {\"cell\": \"0.46 (.40–.52)\", \"bbox\": [68, 41, 118, 51]}, {\"cell\": \"21.73 (19.14–24.67)\", \"bbox\": [127, 41, 199, 51]}, {\"cell\": \"1.29 (1.12–1.48)\", \"bbox\": [209, 41, 267, 51]}, {\"cell\": \"PsA-TT\", \"bbox\": [285, 41, 312, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [336, 41, 417, 51]}, {\"cell\": \"69.13 (51.60–92.61)\", \"bbox\": [426, 41, 499, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PsACWY\", \"bbox\": [285, 53, 319, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 53, 413, 63]}, {\"cell\": \"19.20 (14.72–25.04)\", \"bbox\": [426, 53, 499, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hib-TT\", \"bbox\": [285, 65, 310, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 65, 404, 75]}, {\"cell\": \"1.61 (1.09–2.37)\", \"bbox\": [431, 65, 490, 75]}, {\"cell\": \"PsACWY<sup>b</sup>\", \"bbox\": [1, 76, 38, 87]}, {\"cell\": \"0.62 (.54–.70)\", \"bbox\": [68, 77, 118, 87]}, {\"cell\": \"2.01 (1.74–2.33)\", \"bbox\": [132, 77, 190, 87]}, {\"cell\": \"0.82 (.71–.94)\", \"bbox\": [209, 77, 259, 87]}, {\"cell\": \"PsA-TT\", \"bbox\": [285, 77, 312, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 77, 413, 87]}, {\"cell\": \"27.03 (19.23–38.00)\", \"bbox\": [426, 77, 499, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PsACWY\", \"bbox\": [285, 89, 319, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 89, 404, 99]}, {\"cell\": \"2.98 (2.26–3.94)\", \"bbox\": [431, 89, 490, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hib-TT\", \"bbox\": [285, 101, 310, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 101, 395, 111]}, {\"cell\": \"0.73 (.57–.93)\", \"bbox\": [431, 101, 481, 111]}, {\"cell\": \"Hib-TT<sup>c</sup>\", \"bbox\": [1, 112, 28, 123]}, {\"cell\": \"NA\", \"bbox\": [86, 113, 100, 123]}, {\"cell\": \"NA\", \"bbox\": [157, 113, 170, 123]}, {\"cell\": \"0.44 (.36–.53)\", \"bbox\": [209, 113, 259, 123]}, {\"cell\": \"PsA-TT\", \"bbox\": [285, 113, 312, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 113, 413, 123]}, {\"cell\": \"20.47 (13.78–30.41)\", \"bbox\": [426, 113, 499, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PsACWY\", \"bbox\": [285, 125, 319, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 125, 404, 135]}, {\"cell\": \"1.88 (1.26–2.80)\", \"bbox\": [431, 125, 490, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hib-TT\", \"bbox\": [285, 137, 310, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 137, 395, 147]}, {\"cell\": \"0.38 (.27–.53)\", \"bbox\": [431, 137, 481, 147]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4639486_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}551{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Nucleus/area</b></td><td><b>Anterogradely- labeled NI fibers</b></td><td><b>Relaxin-3 IR</b></td></tr></thead><tbody><tr><td>Medial nucleus (Me)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Medial nucleus anterodorsal part (MeAD)</td><td>++++</td><td>[EMPTY_CELL]</td></tr><tr><td>Medial nucleus anteroventral part (MeAV)</td><td>++++</td><td>[EMPTY_CELL]</td></tr><tr><td>Medial nucleus posterodorsal part (MePD)</td><td>+</td><td>[EMPTY_CELL]</td></tr><tr><td>Medial nucleus posteroventral part (MePV)</td><td>++</td><td>[EMPTY_CELL]</td></tr><tr><td>Central nucleus (Ce)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Central nucleus medial division (CeM)</td><td>+</td><td>[EMPTY_CELL]</td></tr><tr><td>Central nucleus lateral division (CeL)</td><td>+</td><td>[EMPTY_CELL]</td></tr><tr><td>Central nucleus capsular division (CeC)</td><td>+</td><td>[EMPTY_CELL]</td></tr><tr><td>Amygdalostriatal transition area (ASt)</td><td>+</td><td>[EMPTY_CELL]</td></tr><tr><td>Anterior amygdaloid area (AA)</td><td>+++</td><td>[EMPTY_CELL]</td></tr><tr><td>Intercalated nuclei (I)</td><td>++</td><td>[EMPTY_CELL]</td></tr><tr><td>Bed nucleus of the stria terminalis (ST)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Intraamygdala part (STIA)</td><td>+++</td><td>[EMPTY_CELL]</td></tr><tr><td>Supracapsular part (STSC)</td><td>+</td><td>[EMPTY_CELL]</td></tr><tr><td>Medial anterior (STMA)</td><td>+++</td><td>[EMPTY_CELL]</td></tr><tr><td>Medial ventral (STMV)</td><td>+++</td><td>[EMPTY_CELL]</td></tr><tr><td>Lateral division (STL)</td><td>−</td><td>[EMPTY_CELL]</td></tr><tr><td>Lateral dorsal (STLD)</td><td>−</td><td>[EMPTY_CELL]</td></tr><tr><td>Lateral intermediate (STLI)</td><td>−</td><td>[EMPTY_CELL]</td></tr><tr><td>Lateral juxtacapsular (STLJ)</td><td>+</td><td>[EMPTY_CELL]</td></tr><tr><td>Lateral posterior (STLP)</td><td>−</td><td>[EMPTY_CELL]</td></tr><tr><td>Fusiform nucleus (Fu)</td><td>−</td><td>[EMPTY_CELL]</td></tr><tr><td>Parastriatal nucleus (PS)</td><td>−</td><td>[EMPTY_CELL]</td></tr><tr><td>Bed nucleus of the anterior commissure (BAC)</td><td>−</td><td>[EMPTY_CELL]</td></tr><tr><td>Sublenticular extended amygdala (SLEA)</td><td>+</td><td>[EMPTY_CELL]</td></tr><tr><td>Sublenticular substantia innominata (SI)</td><td>−</td><td>[EMPTY_CELL]</td></tr><tr><td>Interstitial nucleus of the</td><td>+</td><td>[EMPTY_CELL]</td></tr><tr><td>posterior limb of the anterior</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>commissure (IPAC)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Nucleus/area</b>\", \"bbox\": [1, 8, 47, 16]}, {\"cell\": \"<b>Anterogradely- labeled NI fibers</b>\", \"bbox\": [150, 8, 206, 26]}, {\"cell\": \"<b>Relaxin-3 IR</b>\", \"bbox\": [214, 8, 247, 26]}, {\"cell\": \"Medial nucleus (Me)\", \"bbox\": [1, 36, 62, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medial nucleus anterodorsal part (MeAD)\", \"bbox\": [1, 46, 124, 54]}, {\"cell\": \"++++\", \"bbox\": [168, 46, 187, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 46, 238, 54]}, {\"cell\": \"Medial nucleus anteroventral part (MeAV)\", \"bbox\": [1, 55, 125, 64]}, {\"cell\": \"++++\", \"bbox\": [168, 55, 187, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 55, 238, 64]}, {\"cell\": \"Medial nucleus posterodorsal part (MePD)\", \"bbox\": [1, 65, 128, 73]}, {\"cell\": \"+\", \"bbox\": [175, 65, 181, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 65, 234, 73]}, {\"cell\": \"Medial nucleus posteroventral part (MePV)\", \"bbox\": [1, 74, 129, 83]}, {\"cell\": \"++\", \"bbox\": [172, 74, 183, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 74, 236, 83]}, {\"cell\": \"Central nucleus (Ce)\", \"bbox\": [1, 84, 63, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Central nucleus medial division (CeM)\", \"bbox\": [1, 93, 114, 102]}, {\"cell\": \"+\", \"bbox\": [175, 93, 181, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 93, 234, 102]}, {\"cell\": \"Central nucleus lateral division (CeL)\", \"bbox\": [1, 103, 110, 111]}, {\"cell\": \"+\", \"bbox\": [175, 103, 181, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 103, 234, 111]}, {\"cell\": \"Central nucleus capsular division (CeC)\", \"bbox\": [1, 112, 119, 121]}, {\"cell\": \"+\", \"bbox\": [175, 112, 181, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 112, 234, 121]}, {\"cell\": \"Amygdalostriatal transition area (ASt)\", \"bbox\": [1, 121, 112, 130]}, {\"cell\": \"+\", \"bbox\": [175, 121, 181, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 121, 234, 130]}, {\"cell\": \"Anterior amygdaloid area (AA)\", \"bbox\": [1, 131, 91, 139]}, {\"cell\": \"+++\", \"bbox\": [170, 131, 185, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 131, 238, 139]}, {\"cell\": \"Intercalated nuclei (I)\", \"bbox\": [1, 140, 63, 149]}, {\"cell\": \"++\", \"bbox\": [172, 140, 183, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 140, 236, 149]}, {\"cell\": \"Bed nucleus of the stria terminalis (ST)\", \"bbox\": [1, 150, 117, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Intraamygdala part (STIA)\", \"bbox\": [1, 159, 78, 168]}, {\"cell\": \"+++\", \"bbox\": [170, 159, 185, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 159, 238, 168]}, {\"cell\": \"Supracapsular part (STSC)\", \"bbox\": [1, 169, 83, 177]}, {\"cell\": \"+\", \"bbox\": [175, 169, 181, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 169, 234, 177]}, {\"cell\": \"Medial anterior (STMA)\", \"bbox\": [1, 178, 70, 187]}, {\"cell\": \"+++\", \"bbox\": [170, 178, 185, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 178, 236, 187]}, {\"cell\": \"Medial ventral (STMV)\", \"bbox\": [1, 188, 67, 196]}, {\"cell\": \"+++\", \"bbox\": [170, 188, 185, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 188, 236, 196]}, {\"cell\": \"Lateral division (STL)\", \"bbox\": [1, 197, 64, 206]}, {\"cell\": \"−\", \"bbox\": [174, 200, 181, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 200, 234, 204]}, {\"cell\": \"Lateral dorsal (STLD)\", \"bbox\": [1, 207, 65, 215]}, {\"cell\": \"−\", \"bbox\": [174, 210, 181, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 210, 234, 214]}, {\"cell\": \"Lateral intermediate (STLI)\", \"bbox\": [1, 216, 80, 225]}, {\"cell\": \"−\", \"bbox\": [174, 219, 181, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 219, 234, 223]}, {\"cell\": \"Lateral juxtacapsular (STLJ)\", \"bbox\": [1, 226, 85, 234]}, {\"cell\": \"+\", \"bbox\": [175, 226, 181, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 226, 236, 234]}, {\"cell\": \"Lateral posterior (STLP)\", \"bbox\": [1, 235, 73, 244]}, {\"cell\": \"−\", \"bbox\": [174, 238, 181, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 238, 234, 242]}, {\"cell\": \"Fusiform nucleus (Fu)\", \"bbox\": [1, 245, 66, 253]}, {\"cell\": \"−\", \"bbox\": [174, 248, 181, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 248, 234, 252]}, {\"cell\": \"Parastriatal nucleus (PS)\", \"bbox\": [1, 254, 75, 262]}, {\"cell\": \"−\", \"bbox\": [174, 257, 181, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 257, 234, 261]}, {\"cell\": \"Bed nucleus of the anterior commissure (BAC)\", \"bbox\": [1, 263, 141, 272]}, {\"cell\": \"−\", \"bbox\": [174, 267, 181, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 267, 234, 271]}, {\"cell\": \"Sublenticular extended amygdala (SLEA)\", \"bbox\": [1, 273, 124, 281]}, {\"cell\": \"+\", \"bbox\": [175, 273, 181, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 273, 234, 281]}, {\"cell\": \"Sublenticular substantia innominata (SI)\", \"bbox\": [1, 282, 120, 291]}, {\"cell\": \"−\", \"bbox\": [174, 286, 181, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 286, 234, 289]}, {\"cell\": \"Interstitial nucleus of the\", \"bbox\": [1, 292, 75, 300]}, {\"cell\": \"+\", \"bbox\": [175, 292, 181, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 292, 234, 300]}, {\"cell\": \"posterior limb of the anterior\", \"bbox\": [1, 301, 87, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"commissure (IPAC)\", \"bbox\": [1, 311, 59, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4823275_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}552{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>No.</b></td><td colspan=\\\"3\\\"><b>Survival status</b></td><td><b>P value</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>1-year</b></td><td><b>2-year</b></td><td><b>Median</b></td><td><b>Univariate</b></td><td><b>Multivariate</b></td></tr></thead><tbody><tr><td>Pre-LT</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender</td><td>Female</td><td>4</td><td>[EMPTY_CELL]</td><td>0</td><td>2.7</td><td>0.241</td><td>0.428</td></tr><tr><td>[EMPTY_CELL]</td><td>Male</td><td>26</td><td>[EMPTY_CELL]</td><td>29.0</td><td>8.6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (years)</td><td>≤50</td><td>17</td><td>[EMPTY_CELL]</td><td>21.2</td><td>8.6</td><td>0.697</td><td>0.180</td></tr><tr><td>[EMPTY_CELL]</td><td>>50</td><td>13</td><td>[EMPTY_CELL]</td><td>19.2</td><td>15.1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>HbsAg</td><td>-</td><td>3</td><td>[EMPTY_CELL]</td><td>0</td><td>5.0</td><td>0.190</td><td>0.201</td></tr><tr><td>[EMPTY_CELL]</td><td>+</td><td>27</td><td>[EMPTY_CELL]</td><td>27.1</td><td>9.8</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Γ-GT</td><td>≤75</td><td>14</td><td>[EMPTY_CELL]</td><td>21.4</td><td>11.2</td><td>0.814</td><td>0.099</td></tr><tr><td>[EMPTY_CELL]</td><td>>75</td><td>16</td><td>[EMPTY_CELL]</td><td>20.0</td><td>6.3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>AFP</td><td>≤400</td><td>16</td><td>[EMPTY_CELL]</td><td>23.4</td><td>8.6</td><td>0.738</td><td>0.557</td></tr><tr><td>[EMPTY_CELL]</td><td>>400</td><td>14</td><td>[EMPTY_CELL]</td><td>17.1</td><td>6.3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Child-Pugh Classification</td><td>A</td><td>22</td><td>[EMPTY_CELL]</td><td>21.2</td><td>6.3</td><td>0.240</td><td>0.099</td></tr><tr><td>[EMPTY_CELL]</td><td>B</td><td>8</td><td>[EMPTY_CELL]</td><td>33.3</td><td>16.6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Shanghai criteria</td><td>Exceeding</td><td>14</td><td>[EMPTY_CELL]</td><td>12.9</td><td>8.6</td><td>0.962</td><td>0.570</td></tr><tr><td>[EMPTY_CELL]</td><td>Within</td><td>16</td><td>[EMPTY_CELL]</td><td>18.8</td><td>7.9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>UCSF</td><td>Exceeding</td><td>18</td><td>[EMPTY_CELL]</td><td>8.5</td><td>8.6</td><td>0.597</td><td>0.972</td></tr><tr><td>[EMPTY_CELL]</td><td>Within</td><td>12</td><td>[EMPTY_CELL]</td><td>33.3</td><td>6.3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Milan</td><td>Exceeding</td><td>20</td><td>[EMPTY_CELL]</td><td>20</td><td>11.2</td><td>0.939</td><td>0.364</td></tr><tr><td>[EMPTY_CELL]</td><td>Within</td><td>10</td><td>[EMPTY_CELL]</td><td>20</td><td>4.1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Interval between diagnosis of HCC and LT</td><td>≤0.5 year</td><td>17</td><td>[EMPTY_CELL]</td><td>22.1</td><td>8.6</td><td>0.947</td><td>0.976</td></tr><tr><td>[EMPTY_CELL]</td><td>>0.5 year</td><td>13</td><td>[EMPTY_CELL]</td><td>18.5</td><td>9.8</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Post-LT</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>KPS</td><td>≥80</td><td>14</td><td>[EMPTY_CELL]</td><td>30.1</td><td>15.6</td><td>0.032</td><td>0.003</td></tr><tr><td>[EMPTY_CELL]</td><td><80</td><td>16</td><td>[EMPTY_CELL]</td><td>12.5</td><td>4.1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Γ-GT</td><td>≤75</td><td>11</td><td>[EMPTY_CELL]</td><td>31.8</td><td>23.9</td><td>0.116</td><td>0.385</td></tr><tr><td>[EMPTY_CELL]</td><td>>75</td><td>19</td><td>[EMPTY_CELL]</td><td>14.0</td><td>6.3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>AFP</td><td>≤400</td><td>15</td><td>[EMPTY_CELL]</td><td>25.0</td><td>11.2</td><td>0.531</td><td>0.926</td></tr><tr><td>[EMPTY_CELL]</td><td>>400</td><td>15</td><td>[EMPTY_CELL]</td><td>16.0</td><td>5.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Child-Pugh Classification</td><td>A</td><td>23</td><td>[EMPTY_CELL]</td><td>27.3</td><td>11.2</td><td>0.209</td><td>0.294</td></tr><tr><td>[EMPTY_CELL]</td><td>B</td><td>7</td><td>[EMPTY_CELL]</td><td>0</td><td>6.3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Soft-tissue extension</td><td>Absent</td><td>23</td><td>[EMPTY_CELL]</td><td>19.9</td><td>7.9</td><td>0.470</td><td>0.974</td></tr><tr><td>[EMPTY_CELL]</td><td>Present</td><td>7</td><td>[EMPTY_CELL]</td><td>19.0</td><td>23.9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No. of bone metastases</td><td>Solitary</td><td>14</td><td>[EMPTY_CELL]</td><td>25.7</td><td>15.6</td><td>0.245</td><td>0.456</td></tr><tr><td>[EMPTY_CELL]</td><td>≥2 sites</td><td>16</td><td>[EMPTY_CELL]</td><td>15.6</td><td>7.9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Intrahepatic tumor control</td><td>uncontrolled</td><td>10</td><td>[EMPTY_CELL]</td><td>10.0</td><td>3.0</td><td>0.003</td><td>0.008</td></tr><tr><td>[EMPTY_CELL]</td><td>Well-controlled</td><td>20</td><td>[EMPTY_CELL]</td><td>31.4</td><td>15.1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Concurrent metastases</td><td>Absent</td><td>15</td><td>[EMPTY_CELL]</td><td>15.6</td><td>4.1</td><td>0.565</td><td>0.170</td></tr><tr><td>[EMPTY_CELL]</td><td>Present</td><td>15</td><td>[EMPTY_CELL]</td><td>24.0</td><td>9.8</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No.</b>\", \"bbox\": [222, 4, 235, 13]}, {\"cell\": \"<b>Survival status</b>\", \"bbox\": [252, 4, 304, 13]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [375, 4, 403, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>1-year</b>\", \"bbox\": [252, 17, 275, 27]}, {\"cell\": \"<b>2-year</b>\", \"bbox\": [292, 17, 315, 27]}, {\"cell\": \"<b>Median</b>\", \"bbox\": [331, 17, 359, 27]}, {\"cell\": \"<b>Univariate</b>\", \"bbox\": [375, 17, 413, 27]}, {\"cell\": \"<b>Multivariate</b>\", \"bbox\": [429, 17, 472, 27]}, {\"cell\": \"Pre-LT\", \"bbox\": [1, 30, 22, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender\", \"bbox\": [1, 44, 26, 53]}, {\"cell\": \"Female\", \"bbox\": [155, 44, 180, 53]}, {\"cell\": \"4\", \"bbox\": [222, 44, 228, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 44, 266, 53]}, {\"cell\": \"0\", \"bbox\": [292, 44, 297, 53]}, {\"cell\": \"2.7\", \"bbox\": [331, 44, 342, 53]}, {\"cell\": \"0.241\", \"bbox\": [375, 44, 394, 53]}, {\"cell\": \"0.428\", \"bbox\": [429, 44, 447, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [155, 57, 172, 66]}, {\"cell\": \"26\", \"bbox\": [222, 57, 231, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 57, 266, 66]}, {\"cell\": \"29.0\", \"bbox\": [292, 57, 306, 66]}, {\"cell\": \"8.6\", \"bbox\": [331, 57, 342, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years)\", \"bbox\": [1, 70, 38, 79]}, {\"cell\": \"≤50\", \"bbox\": [155, 70, 170, 79]}, {\"cell\": \"17\", \"bbox\": [222, 70, 231, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 70, 266, 79]}, {\"cell\": \"21.2\", \"bbox\": [292, 70, 306, 79]}, {\"cell\": \"8.6\", \"bbox\": [331, 70, 342, 79]}, {\"cell\": \"0.697\", \"bbox\": [375, 70, 394, 79]}, {\"cell\": \"0.180\", \"bbox\": [429, 70, 447, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">50\", \"bbox\": [155, 83, 170, 93]}, {\"cell\": \"13\", \"bbox\": [222, 83, 231, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 83, 266, 93]}, {\"cell\": \"19.2\", \"bbox\": [292, 83, 306, 93]}, {\"cell\": \"15.1\", \"bbox\": [331, 83, 346, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HbsAg\", \"bbox\": [1, 96, 24, 106]}, {\"cell\": \"-\", \"bbox\": [155, 96, 160, 106]}, {\"cell\": \"3\", \"bbox\": [222, 96, 228, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 96, 257, 106]}, {\"cell\": \"0\", \"bbox\": [292, 96, 297, 106]}, {\"cell\": \"5.0\", \"bbox\": [331, 96, 342, 106]}, {\"cell\": \"0.190\", \"bbox\": [375, 96, 394, 106]}, {\"cell\": \"0.201\", \"bbox\": [429, 96, 447, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"+\", \"bbox\": [155, 110, 162, 119]}, {\"cell\": \"27\", \"bbox\": [222, 110, 231, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 110, 266, 119]}, {\"cell\": \"27.1\", \"bbox\": [292, 110, 306, 119]}, {\"cell\": \"9.8\", \"bbox\": [331, 110, 342, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Γ-GT\", \"bbox\": [1, 123, 18, 132]}, {\"cell\": \"≤75\", \"bbox\": [155, 123, 170, 132]}, {\"cell\": \"14\", \"bbox\": [222, 123, 231, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 123, 266, 132]}, {\"cell\": \"21.4\", \"bbox\": [292, 123, 306, 132]}, {\"cell\": \"11.2\", \"bbox\": [331, 123, 346, 132]}, {\"cell\": \"0.814\", \"bbox\": [375, 123, 394, 132]}, {\"cell\": \"0.099\", \"bbox\": [429, 123, 447, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">75\", \"bbox\": [155, 136, 170, 145]}, {\"cell\": \"16\", \"bbox\": [222, 136, 231, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 136, 266, 145]}, {\"cell\": \"20.0\", \"bbox\": [292, 136, 306, 145]}, {\"cell\": \"6.3\", \"bbox\": [331, 136, 342, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AFP\", \"bbox\": [1, 149, 15, 159]}, {\"cell\": \"≤400\", \"bbox\": [155, 149, 173, 159]}, {\"cell\": \"16\", \"bbox\": [222, 149, 231, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 149, 266, 159]}, {\"cell\": \"23.4\", \"bbox\": [292, 149, 306, 159]}, {\"cell\": \"8.6\", \"bbox\": [331, 149, 342, 159]}, {\"cell\": \"0.738\", \"bbox\": [375, 149, 394, 159]}, {\"cell\": \"0.557\", \"bbox\": [429, 149, 447, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">400\", \"bbox\": [155, 162, 173, 172]}, {\"cell\": \"14\", \"bbox\": [222, 162, 231, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 162, 266, 172]}, {\"cell\": \"17.1\", \"bbox\": [292, 162, 306, 172]}, {\"cell\": \"6.3\", \"bbox\": [331, 162, 342, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Child-Pugh Classification\", \"bbox\": [1, 176, 81, 185]}, {\"cell\": \"A\", \"bbox\": [155, 176, 162, 185]}, {\"cell\": \"22\", \"bbox\": [222, 176, 231, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 176, 266, 185]}, {\"cell\": \"21.2\", \"bbox\": [292, 176, 306, 185]}, {\"cell\": \"6.3\", \"bbox\": [331, 176, 342, 185]}, {\"cell\": \"0.240\", \"bbox\": [375, 176, 394, 185]}, {\"cell\": \"0.099\", \"bbox\": [429, 176, 447, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"B\", \"bbox\": [155, 189, 161, 198]}, {\"cell\": \"8\", \"bbox\": [222, 189, 228, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 189, 266, 198]}, {\"cell\": \"33.3\", \"bbox\": [292, 189, 306, 198]}, {\"cell\": \"16.6\", \"bbox\": [331, 189, 346, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Shanghai criteria\", \"bbox\": [1, 202, 56, 211]}, {\"cell\": \"Exceeding\", \"bbox\": [155, 202, 190, 211]}, {\"cell\": \"14\", \"bbox\": [222, 202, 231, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 202, 266, 211]}, {\"cell\": \"12.9\", \"bbox\": [292, 202, 306, 211]}, {\"cell\": \"8.6\", \"bbox\": [331, 202, 342, 211]}, {\"cell\": \"0.962\", \"bbox\": [375, 202, 394, 211]}, {\"cell\": \"0.570\", \"bbox\": [429, 202, 447, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Within\", \"bbox\": [155, 215, 178, 225]}, {\"cell\": \"16\", \"bbox\": [222, 215, 231, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 215, 266, 225]}, {\"cell\": \"18.8\", \"bbox\": [292, 215, 306, 225]}, {\"cell\": \"7.9\", \"bbox\": [331, 215, 342, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"UCSF\", \"bbox\": [1, 228, 19, 238]}, {\"cell\": \"Exceeding\", \"bbox\": [155, 228, 190, 238]}, {\"cell\": \"18\", \"bbox\": [222, 228, 231, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 228, 266, 238]}, {\"cell\": \"8.5\", \"bbox\": [292, 228, 303, 238]}, {\"cell\": \"8.6\", \"bbox\": [331, 228, 342, 238]}, {\"cell\": \"0.597\", \"bbox\": [375, 228, 394, 238]}, {\"cell\": \"0.972\", \"bbox\": [429, 228, 447, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Within\", \"bbox\": [155, 242, 178, 251]}, {\"cell\": \"12\", \"bbox\": [222, 242, 231, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 242, 266, 251]}, {\"cell\": \"33.3\", \"bbox\": [292, 242, 306, 251]}, {\"cell\": \"6.3\", \"bbox\": [331, 242, 342, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Milan\", \"bbox\": [1, 255, 20, 264]}, {\"cell\": \"Exceeding\", \"bbox\": [155, 255, 190, 264]}, {\"cell\": \"20\", \"bbox\": [222, 255, 231, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 255, 261, 264]}, {\"cell\": \"20\", \"bbox\": [292, 255, 301, 264]}, {\"cell\": \"11.2\", \"bbox\": [331, 255, 346, 264]}, {\"cell\": \"0.939\", \"bbox\": [375, 255, 394, 264]}, {\"cell\": \"0.364\", \"bbox\": [429, 255, 447, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Within\", \"bbox\": [155, 268, 178, 277]}, {\"cell\": \"10\", \"bbox\": [222, 268, 231, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 268, 261, 277]}, {\"cell\": \"20\", \"bbox\": [292, 268, 301, 277]}, {\"cell\": \"4.1\", \"bbox\": [331, 268, 342, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Interval between diagnosis of HCC and LT\", \"bbox\": [1, 281, 139, 291]}, {\"cell\": \"≤0.5 year\", \"bbox\": [155, 281, 187, 291]}, {\"cell\": \"17\", \"bbox\": [222, 281, 231, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 281, 266, 291]}, {\"cell\": \"22.1\", \"bbox\": [292, 281, 306, 291]}, {\"cell\": \"8.6\", \"bbox\": [331, 281, 342, 291]}, {\"cell\": \"0.947\", \"bbox\": [375, 281, 394, 291]}, {\"cell\": \"0.976\", \"bbox\": [429, 281, 447, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">0.5 year\", \"bbox\": [155, 294, 187, 304]}, {\"cell\": \"13\", \"bbox\": [222, 294, 231, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 294, 266, 304]}, {\"cell\": \"18.5\", \"bbox\": [292, 294, 306, 304]}, {\"cell\": \"9.8\", \"bbox\": [331, 294, 342, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Post-LT\", \"bbox\": [1, 308, 26, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"KPS\", \"bbox\": [1, 321, 14, 330]}, {\"cell\": \"≥80\", \"bbox\": [155, 321, 170, 330]}, {\"cell\": \"14\", \"bbox\": [222, 321, 231, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 321, 266, 330]}, {\"cell\": \"30.1\", \"bbox\": [292, 321, 306, 330]}, {\"cell\": \"15.6\", \"bbox\": [331, 321, 346, 330]}, {\"cell\": \"0.032\", \"bbox\": [375, 321, 394, 330]}, {\"cell\": \"0.003\", \"bbox\": [429, 321, 447, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<80\", \"bbox\": [155, 334, 170, 343]}, {\"cell\": \"16\", \"bbox\": [222, 334, 231, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 334, 266, 343]}, {\"cell\": \"12.5\", \"bbox\": [292, 334, 306, 343]}, {\"cell\": \"4.1\", \"bbox\": [331, 334, 342, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Γ-GT\", \"bbox\": [1, 347, 18, 357]}, {\"cell\": \"≤75\", \"bbox\": [155, 347, 170, 357]}, {\"cell\": \"11\", \"bbox\": [222, 347, 231, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 347, 266, 357]}, {\"cell\": \"31.8\", \"bbox\": [292, 347, 306, 357]}, {\"cell\": \"23.9\", \"bbox\": [331, 347, 346, 357]}, {\"cell\": \"0.116\", \"bbox\": [375, 347, 394, 357]}, {\"cell\": \"0.385\", \"bbox\": [429, 347, 447, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">75\", \"bbox\": [155, 360, 170, 370]}, {\"cell\": \"19\", \"bbox\": [222, 360, 231, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 360, 266, 370]}, {\"cell\": \"14.0\", \"bbox\": [292, 360, 306, 370]}, {\"cell\": \"6.3\", \"bbox\": [331, 360, 342, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AFP\", \"bbox\": [1, 373, 15, 383]}, {\"cell\": \"≤400\", \"bbox\": [155, 373, 173, 383]}, {\"cell\": \"15\", \"bbox\": [222, 373, 231, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 373, 266, 383]}, {\"cell\": \"25.0\", \"bbox\": [292, 373, 306, 383]}, {\"cell\": \"11.2\", \"bbox\": [331, 373, 346, 383]}, {\"cell\": \"0.531\", \"bbox\": [375, 373, 394, 383]}, {\"cell\": \"0.926\", \"bbox\": [429, 373, 447, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">400\", \"bbox\": [155, 387, 173, 396]}, {\"cell\": \"15\", \"bbox\": [222, 387, 231, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 387, 266, 396]}, {\"cell\": \"16.0\", \"bbox\": [292, 387, 306, 396]}, {\"cell\": \"5.0\", \"bbox\": [331, 387, 342, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Child-Pugh Classification\", \"bbox\": [1, 400, 81, 409]}, {\"cell\": \"A\", \"bbox\": [155, 400, 162, 409]}, {\"cell\": \"23\", \"bbox\": [222, 400, 231, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 400, 266, 409]}, {\"cell\": \"27.3\", \"bbox\": [292, 400, 306, 409]}, {\"cell\": \"11.2\", \"bbox\": [331, 400, 346, 409]}, {\"cell\": \"0.209\", \"bbox\": [375, 400, 394, 409]}, {\"cell\": \"0.294\", \"bbox\": [429, 400, 447, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"B\", \"bbox\": [155, 413, 161, 423]}, {\"cell\": \"7\", \"bbox\": [222, 413, 228, 423]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 413, 266, 423]}, {\"cell\": \"0\", \"bbox\": [292, 413, 297, 423]}, {\"cell\": \"6.3\", \"bbox\": [331, 413, 342, 423]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Soft-tissue extension\", \"bbox\": [1, 426, 68, 436]}, {\"cell\": \"Absent\", \"bbox\": [155, 426, 180, 436]}, {\"cell\": \"23\", \"bbox\": [222, 426, 231, 436]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 426, 266, 436]}, {\"cell\": \"19.9\", \"bbox\": [292, 426, 306, 436]}, {\"cell\": \"7.9\", \"bbox\": [331, 426, 342, 436]}, {\"cell\": \"0.470\", \"bbox\": [375, 426, 394, 436]}, {\"cell\": \"0.974\", \"bbox\": [429, 426, 447, 436]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Present\", \"bbox\": [155, 440, 181, 449]}, {\"cell\": \"7\", \"bbox\": [222, 440, 228, 449]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 440, 266, 449]}, {\"cell\": \"19.0\", \"bbox\": [292, 440, 306, 449]}, {\"cell\": \"23.9\", \"bbox\": [331, 440, 346, 449]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No. of bone metastases\", \"bbox\": [1, 453, 79, 462]}, {\"cell\": \"Solitary\", \"bbox\": [155, 453, 180, 462]}, {\"cell\": \"14\", \"bbox\": [222, 453, 231, 462]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 453, 267, 462]}, {\"cell\": \"25.7\", \"bbox\": [292, 453, 306, 462]}, {\"cell\": \"15.6\", \"bbox\": [331, 453, 346, 462]}, {\"cell\": \"0.245\", \"bbox\": [375, 453, 394, 462]}, {\"cell\": \"0.456\", \"bbox\": [429, 453, 447, 462]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥2 sites\", \"bbox\": [155, 466, 182, 475]}, {\"cell\": \"16\", \"bbox\": [222, 466, 231, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 466, 266, 475]}, {\"cell\": \"15.6\", \"bbox\": [292, 466, 306, 475]}, {\"cell\": \"7.9\", \"bbox\": [331, 466, 342, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Intrahepatic tumor control\", \"bbox\": [1, 479, 88, 489]}, {\"cell\": \"uncontrolled\", \"bbox\": [155, 479, 198, 489]}, {\"cell\": \"10\", \"bbox\": [222, 479, 231, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 479, 267, 489]}, {\"cell\": \"10.0\", \"bbox\": [292, 479, 306, 489]}, {\"cell\": \"3.0\", \"bbox\": [331, 479, 342, 489]}, {\"cell\": \"0.003\", \"bbox\": [375, 479, 394, 489]}, {\"cell\": \"0.008\", \"bbox\": [429, 479, 447, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Well-controlled\", \"bbox\": [155, 492, 205, 502]}, {\"cell\": \"20\", \"bbox\": [222, 492, 231, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 492, 266, 502]}, {\"cell\": \"31.4\", \"bbox\": [292, 492, 306, 502]}, {\"cell\": \"15.1\", \"bbox\": [331, 492, 346, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Concurrent metastases\", \"bbox\": [1, 506, 75, 515]}, {\"cell\": \"Absent\", \"bbox\": [155, 506, 180, 515]}, {\"cell\": \"15\", \"bbox\": [222, 506, 231, 515]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 506, 267, 515]}, {\"cell\": \"15.6\", \"bbox\": [292, 506, 306, 515]}, {\"cell\": \"4.1\", \"bbox\": [331, 506, 342, 515]}, {\"cell\": \"0.565\", \"bbox\": [375, 506, 394, 515]}, {\"cell\": \"0.170\", \"bbox\": [429, 506, 447, 515]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Present\", \"bbox\": [155, 519, 181, 528]}, {\"cell\": \"15\", \"bbox\": [222, 519, 231, 528]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 519, 267, 528]}, {\"cell\": \"24.0\", \"bbox\": [292, 519, 306, 528]}, {\"cell\": \"9.8\", \"bbox\": [331, 519, 342, 528]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3298548_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}553{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>All patients (<i>n</i> = 48)</b></td><td><b>CRT Responders (<i>n</i> = 34, 71%)</b></td><td><b>CRT Nonresponders (<i>n</i> = 14, 29%)</b></td><td><b><i>p</i> Value</b></td></tr></thead><tbody><tr><td>Atrioventricular dyssynchrony, <i>n</i> (%)</td><td>23 (48%)</td><td>16 (47%)</td><td>7 (50%)</td><td>[EMPTY_CELL]</td></tr><tr><td>IVMD >40 ms, <i>n</i> (%)</td><td>38 (79%)</td><td>31 (91%)</td><td>7 (50%)</td><td>[EMPTY_CELL]</td></tr><tr><td>LVPEI (ms)</td><td>171 ± 27</td><td>175 ± 27</td><td>164 ± 28</td><td>[EMPTY_CELL]</td></tr><tr><td>DTI septo-lateral delay (ms)</td><td>110 [74;161]</td><td>114 [74;189]</td><td>93 [72;117]</td><td>[EMPTY_CELL]</td></tr><tr><td>Septal Flash, n (%)</td><td>30 (63%)</td><td>27 (79%)</td><td>3 (21%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean strain peak (%)</td><td>−10.2 [−11.6;-9.2]</td><td>−10.6 [−11.7;-9.6]</td><td>−9.7 [−11.3;-8.4]</td><td>[EMPTY_CELL]</td></tr><tr><td><sup>SD</sup>tpeak <sup>(ms)</sup></td><td>104 [80;123]</td><td>101 [80;123]</td><td>107 [66;121]</td><td>[EMPTY_CELL]</td></tr><tr><td><sup>Mean I</sup>L,peak <sup>(</sup>%.<sup>s-1)</sup></td><td>1.68 ± 0.59</td><td>1.80 ± 0.62</td><td>1.39 ± 0.41</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean I^avc (%.s<sup>−1</sup>)</td><td>0.62 [0.34;0.90]</td><td>0.76 [0.44;0.92]</td><td>0.45 [0.24;0.77]</td><td>[EMPTY_CELL]</td></tr><tr><td>SDIL,peak (%.s<sup>−1</sup>)</td><td>1.09 [0.82;1.32]</td><td>1.18 [0.96;1.35]</td><td>0.83 [0.55;0.99]</td><td>[EMPTY_CELL]</td></tr><tr><td>SDIL,avc (%.s-<sup>1</sup>)</td><td>0.85 ± 0.37</td><td>0.90 ± 0.35</td><td>0.72 ± 0.39</td><td>[EMPTY_CELL]</td></tr><tr><td>DiffInt (%.<sup>s-1</sup>)</td><td>0.57 ± 0.5</td><td>0.61 ± 0.47</td><td>0.47 ± 0.58</td><td>[EMPTY_CELL]</td></tr><tr><td>MSDI (ms)</td><td>0.35 ± 0.16</td><td>0.37 ± 0.16</td><td>0.29 ± 0.14</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All patients (<i>n</i> = 48)</b>\", \"bbox\": [134, 4, 199, 13]}, {\"cell\": \"<b>CRT Responders (<i>n</i> = 34, 71%)</b>\", \"bbox\": [216, 4, 315, 13]}, {\"cell\": \"<b>CRT Nonresponders (<i>n</i> = 14, 29%)</b>\", \"bbox\": [332, 4, 442, 13]}, {\"cell\": \"<b><i>p</i> Value</b>\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Atrioventricular dyssynchrony, <i>n</i> (%)\", \"bbox\": [1, 17, 117, 27]}, {\"cell\": \"23 (48%)\", \"bbox\": [134, 17, 164, 27]}, {\"cell\": \"16 (47%)\", \"bbox\": [216, 17, 246, 27]}, {\"cell\": \"7 (50%)\", \"bbox\": [332, 17, 357, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 17, 477, 27]}, {\"cell\": \"IVMD >40 ms, <i>n</i> (%)\", \"bbox\": [1, 31, 66, 41]}, {\"cell\": \"38 (79%)\", \"bbox\": [134, 31, 164, 41]}, {\"cell\": \"31 (91%)\", \"bbox\": [216, 31, 246, 41]}, {\"cell\": \"7 (50%)\", \"bbox\": [332, 31, 357, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 31, 481, 41]}, {\"cell\": \"LVPEI (ms)\", \"bbox\": [1, 45, 35, 55]}, {\"cell\": \"171 ± 27\", \"bbox\": [134, 45, 165, 55]}, {\"cell\": \"175 ± 27\", \"bbox\": [216, 45, 247, 55]}, {\"cell\": \"164 ± 28\", \"bbox\": [332, 45, 362, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 45, 477, 55]}, {\"cell\": \"DTI septo-lateral delay (ms)\", \"bbox\": [1, 59, 90, 69]}, {\"cell\": \"110 [74;161]\", \"bbox\": [134, 59, 174, 69]}, {\"cell\": \"114 [74;189]\", \"bbox\": [216, 59, 257, 69]}, {\"cell\": \"93 [72;117]\", \"bbox\": [332, 59, 368, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 59, 477, 69]}, {\"cell\": \"Septal Flash, n (%)\", \"bbox\": [1, 73, 61, 83]}, {\"cell\": \"30 (63%)\", \"bbox\": [134, 73, 164, 83]}, {\"cell\": \"27 (79%)\", \"bbox\": [216, 73, 246, 83]}, {\"cell\": \"3 (21%)\", \"bbox\": [332, 73, 357, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 73, 481, 83]}, {\"cell\": \"Mean strain peak (%)\", \"bbox\": [1, 87, 70, 97]}, {\"cell\": \"−10.2 [−11.6;-9.2]\", \"bbox\": [134, 87, 190, 97]}, {\"cell\": \"−10.6 [−11.7;-9.6]\", \"bbox\": [216, 87, 273, 97]}, {\"cell\": \"−9.7 [−11.3;-8.4]\", \"bbox\": [332, 87, 384, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 87, 477, 97]}, {\"cell\": \"<sup>SD</sup>tpeak <sup>(ms)</sup>\", \"bbox\": [1, 99, 39, 111]}, {\"cell\": \"104 [80;123]\", \"bbox\": [134, 101, 174, 111]}, {\"cell\": \"101 [80;123]\", \"bbox\": [216, 101, 257, 111]}, {\"cell\": \"107 [66;121]\", \"bbox\": [332, 101, 372, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 101, 477, 111]}, {\"cell\": \"<sup>Mean I</sup>L,peak <sup>(</sup>%.<sup>s-1)</sup>\", \"bbox\": [1, 113, 59, 125]}, {\"cell\": \"1.68 ± 0.59\", \"bbox\": [134, 115, 171, 125]}, {\"cell\": \"1.80 ± 0.62\", \"bbox\": [216, 115, 253, 125]}, {\"cell\": \"1.39 ± 0.41\", \"bbox\": [332, 115, 369, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 115, 481, 125]}, {\"cell\": \"Mean I^avc (%.s<sup>−1</sup>)\", \"bbox\": [1, 127, 63, 139]}, {\"cell\": \"0.62 [0.34;0.90]\", \"bbox\": [134, 129, 182, 139]}, {\"cell\": \"0.76 [0.44;0.92]\", \"bbox\": [216, 129, 265, 139]}, {\"cell\": \"0.45 [0.24;0.77]\", \"bbox\": [332, 129, 380, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 129, 477, 139]}, {\"cell\": \"SDIL,peak (%.s<sup>−1</sup>)\", \"bbox\": [1, 141, 56, 153]}, {\"cell\": \"1.09 [0.82;1.32]\", \"bbox\": [134, 143, 182, 153]}, {\"cell\": \"1.18 [0.96;1.35]\", \"bbox\": [216, 143, 265, 153]}, {\"cell\": \"0.83 [0.55;0.99]\", \"bbox\": [332, 143, 380, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 143, 481, 153]}, {\"cell\": \"SDIL,avc (%.s-<sup>1</sup>)\", \"bbox\": [1, 155, 50, 167]}, {\"cell\": \"0.85 ± 0.37\", \"bbox\": [134, 157, 171, 167]}, {\"cell\": \"0.90 ± 0.35\", \"bbox\": [216, 157, 253, 167]}, {\"cell\": \"0.72 ± 0.39\", \"bbox\": [332, 157, 369, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 157, 477, 167]}, {\"cell\": \"DiffInt (%.<sup>s-1</sup>)\", \"bbox\": [1, 169, 42, 181]}, {\"cell\": \"0.57 ± 0.5\", \"bbox\": [134, 171, 167, 181]}, {\"cell\": \"0.61 ± 0.47\", \"bbox\": [216, 171, 253, 181]}, {\"cell\": \"0.47 ± 0.58\", \"bbox\": [332, 171, 369, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 171, 477, 181]}, {\"cell\": \"MSDI (ms)\", \"bbox\": [1, 185, 35, 195]}, {\"cell\": \"0.35 ± 0.16\", \"bbox\": [134, 185, 171, 195]}, {\"cell\": \"0.37 ± 0.16\", \"bbox\": [216, 185, 253, 195]}, {\"cell\": \"0.29 ± 0.14\", \"bbox\": [332, 185, 369, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 185, 477, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5474004_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}554{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>NEG</b></td><td><b>PAT</b></td><td><b>SRB</b></td><td><b>AUT</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\"><i>Negative consequences if not done (NEG)</i></td></tr><tr><td>(h1) If I don't exercise I feel restless</td><td>[EMPTY_CELL]</td><td>.18</td><td>−.00</td><td>−.01</td></tr><tr><td>(h2) If I don't exercise I feel tense</td><td>[EMPTY_CELL]</td><td>−.03</td><td>−.16</td><td>.01</td></tr><tr><td>(h3) If I don't exercise I feel tired</td><td>[EMPTY_CELL]</td><td>−.18</td><td>.02</td><td>.03</td></tr><tr><td>(h4) If I don't exercise I feel irritable</td><td>[EMPTY_CELL]</td><td>.16</td><td>−.06</td><td>.06</td></tr><tr><td colspan=\\\"5\\\"><i>Patterned action (PAT)</i></td></tr><tr><td>(h5) I exercise for the same amount of time in each session</td><td>[EMPTY_CELL]</td><td>.<b>79</b></td><td>−.06</td><td>−.13</td></tr><tr><td>(h6) I tend to do the same activities or exercises in each session</td><td>[EMPTY_CELL]</td><td>.<b>76</b></td><td>−.08</td><td>−.17</td></tr><tr><td>(h7) Most of my exercise sessions follow the same pattern</td><td>[EMPTY_CELL]</td><td>.<b>71</b></td><td>−.15</td><td>−.03</td></tr><tr><td>(h8) I exercise on the same days each week</td><td>[EMPTY_CELL]</td><td>.<b>52</b></td><td>.09</td><td>.24</td></tr><tr><td>(h9) I exercise at the same location each week</td><td>[EMPTY_CELL]</td><td>.<b>46</b></td><td>.05</td><td>.18</td></tr><tr><td colspan=\\\"5\\\"><i>Strong SR bonds (SRB)</i></td></tr><tr><td>(h10) Seeing other people exercise motivates me to be more active</td><td>[EMPTY_CELL]</td><td>.08</td><td><b>−</b>.<b>72</b></td><td>.10</td></tr><tr><td>(h11) When I see someone else exercising, I feel like exercising</td><td>[EMPTY_CELL]</td><td>.05</td><td><b>−</b>.<b>61</b></td><td>.09</td></tr><tr><td>(h12) Some situations give me a desire to exercise</td><td>[EMPTY_CELL]</td><td>−.05</td><td><b>−</b>.<b>82</b></td><td>−.02</td></tr><tr><td>(h13) Certain surroundings just make me want to exercise</td><td>[EMPTY_CELL]</td><td>−.02</td><td><b>−</b>.<b>79</b></td><td>−.06</td></tr><tr><td colspan=\\\"5\\\"><i>Automaticity (AUT)</i></td></tr><tr><td>(h14) I exercise without having to think about it</td><td>[EMPTY_CELL]</td><td>.18</td><td>.02</td><td>.<b>73</b></td></tr><tr><td>(h15) I exercise spontaneously and automatically</td><td>[EMPTY_CELL]</td><td>.10</td><td>−.18</td><td>.<b>65</b></td></tr><tr><td>(h16) I attend exercise sessions without conscious thought</td><td>[EMPTY_CELL]</td><td>.08</td><td>−.04</td><td>.<b>51</b></td></tr><tr><td>(h17) I exercise without conscious reminders to do so</td><td>[EMPTY_CELL]</td><td>−.14</td><td>−.01</td><td>.<b>48</b></td></tr><tr><td>Eigenvalue</td><td>[EMPTY_CELL]</td><td>2.38</td><td>1.91</td><td>1.09</td></tr><tr><td>Percent variance</td><td>[EMPTY_CELL]</td><td>13.99</td><td>11.21</td><td>6.44</td></tr><tr><td>Cronbach's alpha</td><td>[EMPTY_CELL]</td><td>.78</td><td>.85</td><td>.77</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>NEG</b>\", \"bbox\": [259, 6, 280, 16]}, {\"cell\": \"<b>PAT</b>\", \"bbox\": [297, 6, 314, 16]}, {\"cell\": \"<b>SRB</b>\", \"bbox\": [332, 6, 351, 16]}, {\"cell\": \"<b>AUT</b>\", \"bbox\": [366, 6, 387, 16]}, {\"cell\": \"<i>Negative consequences if not done (NEG)</i>\", \"bbox\": [1, 24, 154, 34]}, {\"cell\": \"(h1) If I don't exercise I feel restless\", \"bbox\": [1, 34, 135, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 34, 280, 44]}, {\"cell\": \".18\", \"bbox\": [303, 34, 317, 44]}, {\"cell\": \"−.00\", \"bbox\": [333, 34, 352, 44]}, {\"cell\": \"−.01\", \"bbox\": [367, 34, 386, 44]}, {\"cell\": \"(h2) If I don't exercise I feel tense\", \"bbox\": [1, 44, 127, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 44, 280, 54]}, {\"cell\": \"−.03\", \"bbox\": [297, 44, 317, 54]}, {\"cell\": \"−.16\", \"bbox\": [333, 44, 352, 54]}, {\"cell\": \".01\", \"bbox\": [373, 44, 386, 54]}, {\"cell\": \"(h3) If I don't exercise I feel tired\", \"bbox\": [1, 54, 125, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 54, 280, 64]}, {\"cell\": \"−.18\", \"bbox\": [297, 54, 317, 64]}, {\"cell\": \".02\", \"bbox\": [339, 54, 352, 64]}, {\"cell\": \".03\", \"bbox\": [373, 54, 386, 64]}, {\"cell\": \"(h4) If I don't exercise I feel irritable\", \"bbox\": [1, 64, 137, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 64, 280, 74]}, {\"cell\": \".16\", \"bbox\": [303, 64, 317, 74]}, {\"cell\": \"−.06\", \"bbox\": [333, 64, 352, 74]}, {\"cell\": \".06\", \"bbox\": [373, 64, 386, 74]}, {\"cell\": \"<i>Patterned action (PAT)</i>\", \"bbox\": [1, 80, 86, 90]}, {\"cell\": \"(h5) I exercise for the same amount of time in each session\", \"bbox\": [1, 90, 217, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 90, 281, 100]}, {\"cell\": \".<b>79</b>\", \"bbox\": [303, 90, 317, 100]}, {\"cell\": \"−.06\", \"bbox\": [333, 90, 352, 100]}, {\"cell\": \"−.13\", \"bbox\": [367, 90, 386, 100]}, {\"cell\": \"(h6) I tend to do the same activities or exercises in each session\", \"bbox\": [1, 100, 234, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 100, 281, 110]}, {\"cell\": \".<b>76</b>\", \"bbox\": [303, 100, 317, 110]}, {\"cell\": \"−.08\", \"bbox\": [333, 100, 352, 110]}, {\"cell\": \"−.17\", \"bbox\": [367, 100, 386, 110]}, {\"cell\": \"(h7) Most of my exercise sessions follow the same pattern\", \"bbox\": [1, 110, 214, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 110, 281, 120]}, {\"cell\": \".<b>71</b>\", \"bbox\": [303, 110, 317, 120]}, {\"cell\": \"−.15\", \"bbox\": [333, 110, 352, 120]}, {\"cell\": \"−.03\", \"bbox\": [367, 110, 386, 120]}, {\"cell\": \"(h8) I exercise on the same days each week\", \"bbox\": [1, 120, 161, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 120, 281, 130]}, {\"cell\": \".<b>52</b>\", \"bbox\": [303, 120, 317, 130]}, {\"cell\": \".09\", \"bbox\": [339, 120, 352, 130]}, {\"cell\": \".24\", \"bbox\": [373, 120, 386, 130]}, {\"cell\": \"(h9) I exercise at the same location each week\", \"bbox\": [1, 130, 170, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 130, 281, 140]}, {\"cell\": \".<b>46</b>\", \"bbox\": [303, 130, 317, 140]}, {\"cell\": \".05\", \"bbox\": [339, 130, 352, 140]}, {\"cell\": \".18\", \"bbox\": [373, 130, 386, 140]}, {\"cell\": \"<i>Strong SR bonds (SRB)</i>\", \"bbox\": [1, 146, 87, 156]}, {\"cell\": \"(h10) Seeing other people exercise motivates me to be more active\", \"bbox\": [1, 156, 244, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 156, 281, 166]}, {\"cell\": \".08\", \"bbox\": [303, 156, 317, 166]}, {\"cell\": \"<b>−</b>.<b>72</b>\", \"bbox\": [332, 156, 352, 166]}, {\"cell\": \".10\", \"bbox\": [373, 156, 386, 166]}, {\"cell\": \"(h11) When I see someone else exercising, I feel like exercising\", \"bbox\": [1, 166, 234, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 166, 281, 176]}, {\"cell\": \".05\", \"bbox\": [303, 166, 317, 176]}, {\"cell\": \"<b>−</b>.<b>61</b>\", \"bbox\": [332, 166, 352, 176]}, {\"cell\": \".09\", \"bbox\": [373, 166, 386, 176]}, {\"cell\": \"(h12) Some situations give me a desire to exercise\", \"bbox\": [1, 176, 185, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 176, 281, 186]}, {\"cell\": \"−.05\", \"bbox\": [297, 176, 317, 186]}, {\"cell\": \"<b>−</b>.<b>82</b>\", \"bbox\": [332, 176, 352, 186]}, {\"cell\": \"−.02\", \"bbox\": [367, 176, 386, 186]}, {\"cell\": \"(h13) Certain surroundings just make me want to exercise\", \"bbox\": [1, 186, 213, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 186, 281, 196]}, {\"cell\": \"−.02\", \"bbox\": [297, 186, 317, 196]}, {\"cell\": \"<b>−</b>.<b>79</b>\", \"bbox\": [332, 186, 352, 196]}, {\"cell\": \"−.06\", \"bbox\": [367, 186, 386, 196]}, {\"cell\": \"<i>Automaticity (AUT)</i>\", \"bbox\": [1, 202, 73, 212]}, {\"cell\": \"(h14) I exercise without having to think about it\", \"bbox\": [1, 212, 177, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 212, 281, 222]}, {\"cell\": \".18\", \"bbox\": [303, 212, 317, 222]}, {\"cell\": \".02\", \"bbox\": [339, 212, 352, 222]}, {\"cell\": \".<b>73</b>\", \"bbox\": [373, 212, 386, 222]}, {\"cell\": \"(h15) I exercise spontaneously and automatically\", \"bbox\": [1, 222, 180, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 222, 281, 232]}, {\"cell\": \".10\", \"bbox\": [303, 222, 317, 232]}, {\"cell\": \"−.18\", \"bbox\": [333, 222, 352, 232]}, {\"cell\": \".<b>65</b>\", \"bbox\": [373, 222, 386, 232]}, {\"cell\": \"(h16) I attend exercise sessions without conscious thought\", \"bbox\": [1, 232, 213, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 232, 281, 242]}, {\"cell\": \".08\", \"bbox\": [303, 232, 317, 242]}, {\"cell\": \"−.04\", \"bbox\": [333, 232, 352, 242]}, {\"cell\": \".<b>51</b>\", \"bbox\": [373, 232, 386, 242]}, {\"cell\": \"(h17) I exercise without conscious reminders to do so\", \"bbox\": [1, 242, 197, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 242, 280, 252]}, {\"cell\": \"−.14\", \"bbox\": [297, 242, 317, 252]}, {\"cell\": \"−.01\", \"bbox\": [333, 242, 352, 252]}, {\"cell\": \".<b>48</b>\", \"bbox\": [373, 242, 386, 252]}, {\"cell\": \"Eigenvalue\", \"bbox\": [1, 258, 43, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 258, 280, 268]}, {\"cell\": \"2.38\", \"bbox\": [299, 258, 317, 268]}, {\"cell\": \"1.91\", \"bbox\": [335, 258, 352, 268]}, {\"cell\": \"1.09\", \"bbox\": [368, 258, 386, 268]}, {\"cell\": \"Percent variance\", \"bbox\": [1, 268, 62, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 268, 280, 278]}, {\"cell\": \"13.99\", \"bbox\": [294, 268, 317, 278]}, {\"cell\": \"11.21\", \"bbox\": [330, 268, 352, 278]}, {\"cell\": \"6.44\", \"bbox\": [368, 268, 386, 278]}, {\"cell\": \"Cronbach's alpha\", \"bbox\": [1, 278, 65, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 278, 280, 288]}, {\"cell\": \".78\", \"bbox\": [303, 278, 317, 288]}, {\"cell\": \".85\", \"bbox\": [339, 278, 352, 288]}, {\"cell\": \".77\", \"bbox\": [373, 278, 386, 288]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4346081_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}555{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Group</b></td><td><b><i>APOE4</i> noncarriers (<i>n</i> = 13)</b></td><td><b><i>APOE4</i> carriers (<i>n</i> = 9)</b></td><td><b><i>p</i> Value</b></td></tr></thead><tbody><tr><td>Female/male sex</td><td>8/5</td><td>2/7</td><td>[EMPTY_CELL]</td></tr><tr><td>White/nonwhite race</td><td>8/5</td><td>4/5</td><td>[EMPTY_CELL]</td></tr><tr><td>Age, years</td><td>37.1 (15.7)</td><td>32.1 (10.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Weight, kg</td><td>77.1 (15.7)</td><td>85.7 (20.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI, kg/m<sup>2</sup></td><td>26.2 (4.2)</td><td>27.1 (5.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Systolic blood pressure, mmHg</td><td>111 (9.2)</td><td>118.4 (14.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Diastolic blood pressure, mmHg</td><td>60.3 (10.6)</td><td>62.8 (7.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Fasting glucose, mg/dl</td><td>94 (9.3)</td><td>90 (9.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total cholesterol, mg/dl</td><td>162 (42.9)</td><td>168.1 (31.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>HDL-C, mg/dl</td><td>49.8 (17.7)</td><td>53.7 (11.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>LDL-C, mg/dl</td><td>98.3 (33.4)</td><td>101 (28.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Estimated DHA intake based on DHQ, mg/day</td><td>40 (41)</td><td>130 (120)</td><td>[EMPTY_CELL]</td></tr><tr><td>Brain volume, ml</td><td>1246 (150)</td><td>1232 (62)</td><td>[EMPTY_CELL]</td></tr><tr><td>Plasma APOE levels, μg/ml</td><td>15.8 (5.7)</td><td>10.7 (6.1)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Group</b>\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"<b><i>APOE4</i> noncarriers (<i>n</i> = 13)</b>\", \"bbox\": [202, 4, 288, 13]}, {\"cell\": \"<b><i>APOE4</i> carriers (<i>n</i> = 9)</b>\", \"bbox\": [339, 4, 408, 13]}, {\"cell\": \"<b><i>p</i> Value</b>\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Female/male sex\", \"bbox\": [1, 17, 56, 27]}, {\"cell\": \"8/5\", \"bbox\": [202, 17, 214, 27]}, {\"cell\": \"2/7\", \"bbox\": [339, 17, 351, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 17, 479, 27]}, {\"cell\": \"White/nonwhite race\", \"bbox\": [1, 31, 70, 41]}, {\"cell\": \"8/5\", \"bbox\": [202, 31, 214, 41]}, {\"cell\": \"4/5\", \"bbox\": [339, 31, 351, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 31, 479, 41]}, {\"cell\": \"Age, years\", \"bbox\": [1, 45, 35, 55]}, {\"cell\": \"37.1 (15.7)\", \"bbox\": [202, 45, 236, 55]}, {\"cell\": \"32.1 (10.7)\", \"bbox\": [339, 45, 373, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 45, 479, 55]}, {\"cell\": \"Weight, kg\", \"bbox\": [1, 59, 37, 69]}, {\"cell\": \"77.1 (15.7)\", \"bbox\": [202, 59, 236, 69]}, {\"cell\": \"85.7 (20.4)\", \"bbox\": [339, 59, 373, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 59, 479, 69]}, {\"cell\": \"BMI, kg/m<sup>2</sup>\", \"bbox\": [1, 71, 38, 83]}, {\"cell\": \"26.2 (4.2)\", \"bbox\": [202, 73, 232, 83]}, {\"cell\": \"27.1 (5.0)\", \"bbox\": [339, 73, 369, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 73, 479, 83]}, {\"cell\": \"Systolic blood pressure, mmHg\", \"bbox\": [1, 87, 102, 97]}, {\"cell\": \"111 (9.2)\", \"bbox\": [202, 87, 231, 97]}, {\"cell\": \"118.4 (14.7)\", \"bbox\": [339, 87, 377, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 87, 479, 97]}, {\"cell\": \"Diastolic blood pressure, mmHg\", \"bbox\": [1, 101, 105, 111]}, {\"cell\": \"60.3 (10.6)\", \"bbox\": [202, 101, 236, 111]}, {\"cell\": \"62.8 (7.2)\", \"bbox\": [339, 101, 369, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 101, 479, 111]}, {\"cell\": \"Fasting glucose, mg/dl\", \"bbox\": [1, 115, 76, 125]}, {\"cell\": \"94 (9.3)\", \"bbox\": [202, 115, 227, 125]}, {\"cell\": \"90 (9.5)\", \"bbox\": [339, 115, 364, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 115, 479, 125]}, {\"cell\": \"Total cholesterol, mg/dl\", \"bbox\": [1, 129, 79, 139]}, {\"cell\": \"162 (42.9)\", \"bbox\": [202, 129, 235, 139]}, {\"cell\": \"168.1 (31.1)\", \"bbox\": [339, 129, 377, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 129, 479, 139]}, {\"cell\": \"HDL-C, mg/dl\", \"bbox\": [1, 143, 46, 153]}, {\"cell\": \"49.8 (17.7)\", \"bbox\": [202, 143, 236, 153]}, {\"cell\": \"53.7 (11.9)\", \"bbox\": [339, 143, 373, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 143, 479, 153]}, {\"cell\": \"LDL-C, mg/dl\", \"bbox\": [1, 157, 45, 167]}, {\"cell\": \"98.3 (33.4)\", \"bbox\": [202, 157, 236, 167]}, {\"cell\": \"101 (28.8)\", \"bbox\": [339, 157, 371, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 157, 479, 167]}, {\"cell\": \"Estimated DHA intake based on DHQ, mg/day\", \"bbox\": [1, 171, 151, 181]}, {\"cell\": \"40 (41)\", \"bbox\": [202, 171, 226, 181]}, {\"cell\": \"130 (120)\", \"bbox\": [339, 171, 370, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 171, 475, 181]}, {\"cell\": \"Brain volume, ml\", \"bbox\": [1, 185, 57, 195]}, {\"cell\": \"1246 (150)\", \"bbox\": [202, 185, 237, 195]}, {\"cell\": \"1232 (62)\", \"bbox\": [339, 185, 370, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 185, 479, 195]}, {\"cell\": \"Plasma APOE levels, μg/ml\", \"bbox\": [1, 199, 88, 209]}, {\"cell\": \"15.8 (5.7)\", \"bbox\": [202, 199, 232, 209]}, {\"cell\": \"10.7 (6.1)\", \"bbox\": [339, 199, 369, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 199, 479, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5364667_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}556{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Group A</b></td><td><b>Group B</b></td><td><b>Group C</b></td><td><b><i>p</i> value</b></td><td><b>A vs B</b></td><td><b>A vs C</b></td><td><b>B vs C</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td colspan=\\\"9\\\">CDE (%-seconds)</td></tr><tr><td> Sample size</td><td>42</td><td>42</td><td>42</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Mean ± SD</td><td>13.14 ± 7.65</td><td>11.33 ± 5.14</td><td>7.70 ± 4.59</td><td>0.001</td><td>0.35</td><td>0.001</td><td>[EMPTY_CELL]</td><td>Kruskal Wallis</td></tr><tr><td> Median</td><td>12.38</td><td>11.04</td><td>6.84</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Min-Max</td><td>1.48–28.20</td><td>2.13–20.86</td><td>1.15–16.79</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Inter quartile Range</td><td>6.40–20.80</td><td>7.02–16.21</td><td>3.69–11.94</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"9\\\">EFU (ml)</td></tr><tr><td> Sample size</td><td>42</td><td>42</td><td>42</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Mean ± Stdev</td><td>58.19 ± 19.10</td><td>46.86 ± 12.38</td><td>34.81 ± 10.47</td><td><.0001</td><td>0.015</td><td><.0001</td><td>[EMPTY_CELL]</td><td>Kruskal Wallis</td></tr><tr><td> Median</td><td>55.0</td><td>48.5</td><td>36.5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Min-Max</td><td>30–92</td><td>19–74</td><td>16–56</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Inter quartile Range</td><td>40–78</td><td>39–56</td><td>26–41</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"9\\\">TAT (seconds)</td></tr><tr><td> Sample size</td><td>42</td><td>42</td><td>42</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Mean ± Stdev</td><td>172.71 ± 94.92</td><td>131.00 ± 45.20</td><td>113.36 ± 56.50</td><td>0.001</td><td>0.299</td><td>0.0004</td><td>[EMPTY_CELL]</td><td>Kruskal Wallis</td></tr><tr><td> Median</td><td>132.5</td><td>125.0</td><td>95.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Min-Max</td><td>61–437</td><td>61–251</td><td>63–364</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Inter quartile Range</td><td>95–245</td><td>96–168</td><td>79–122</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Group A</b>\", \"bbox\": [89, 4, 118, 13]}, {\"cell\": \"<b>Group B</b>\", \"bbox\": [154, 4, 182, 13]}, {\"cell\": \"<b>Group C</b>\", \"bbox\": [218, 4, 247, 13]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [283, 4, 308, 13]}, {\"cell\": \"<b>A vs B</b>\", \"bbox\": [324, 4, 346, 13]}, {\"cell\": \"<b>A vs C</b>\", \"bbox\": [362, 4, 384, 13]}, {\"cell\": \"<b>B vs C</b>\", \"bbox\": [401, 4, 423, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CDE (%-seconds)\", \"bbox\": [0, 17, 56, 26]}, {\"cell\": \" Sample size\", \"bbox\": [8, 31, 48, 40]}, {\"cell\": \"42\", \"bbox\": [89, 31, 99, 40]}, {\"cell\": \"42\", \"bbox\": [154, 31, 164, 40]}, {\"cell\": \"42\", \"bbox\": [218, 31, 228, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean ± SD\", \"bbox\": [8, 45, 47, 54]}, {\"cell\": \"13.14 ± 7.65\", \"bbox\": [89, 45, 130, 54]}, {\"cell\": \"11.33 ± 5.14\", \"bbox\": [154, 45, 195, 54]}, {\"cell\": \"7.70 ± 4.59\", \"bbox\": [218, 45, 256, 54]}, {\"cell\": \"0.001\", \"bbox\": [285, 45, 303, 54]}, {\"cell\": \"0.35\", \"bbox\": [326, 45, 340, 54]}, {\"cell\": \"0.001\", \"bbox\": [363, 45, 381, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 45, 421, 54]}, {\"cell\": \"Kruskal Wallis\", \"bbox\": [440, 45, 484, 54]}, {\"cell\": \" Median\", \"bbox\": [8, 59, 34, 68]}, {\"cell\": \"12.38\", \"bbox\": [89, 59, 108, 68]}, {\"cell\": \"11.04\", \"bbox\": [154, 59, 173, 68]}, {\"cell\": \"6.84\", \"bbox\": [218, 59, 233, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [8, 73, 38, 82]}, {\"cell\": \"1.48–28.20\", \"bbox\": [89, 73, 125, 82]}, {\"cell\": \"2.13–20.86\", \"bbox\": [154, 73, 189, 82]}, {\"cell\": \"1.15–16.79\", \"bbox\": [218, 73, 254, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Inter quartile Range\", \"bbox\": [8, 87, 74, 96]}, {\"cell\": \"6.40–20.80\", \"bbox\": [89, 87, 125, 96]}, {\"cell\": \"7.02–16.21\", \"bbox\": [154, 87, 189, 96]}, {\"cell\": \"3.69–11.94\", \"bbox\": [218, 87, 254, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"EFU (ml)\", \"bbox\": [1, 101, 30, 110]}, {\"cell\": \" Sample size\", \"bbox\": [8, 115, 48, 124]}, {\"cell\": \"42\", \"bbox\": [89, 115, 99, 124]}, {\"cell\": \"42\", \"bbox\": [154, 115, 164, 124]}, {\"cell\": \"42\", \"bbox\": [218, 115, 228, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean ± Stdev\", \"bbox\": [8, 129, 56, 138]}, {\"cell\": \"58.19 ± 19.10\", \"bbox\": [89, 129, 134, 138]}, {\"cell\": \"46.86 ± 12.38\", \"bbox\": [154, 129, 199, 138]}, {\"cell\": \"34.81 ± 10.47\", \"bbox\": [218, 129, 263, 138]}, {\"cell\": \"<.0001\", \"bbox\": [284, 129, 307, 138]}, {\"cell\": \"0.015\", \"bbox\": [326, 129, 344, 138]}, {\"cell\": \"<.0001\", \"bbox\": [362, 129, 385, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 129, 424, 138]}, {\"cell\": \"Kruskal Wallis\", \"bbox\": [440, 129, 484, 138]}, {\"cell\": \" Median\", \"bbox\": [8, 143, 34, 152]}, {\"cell\": \"55.0\", \"bbox\": [89, 143, 104, 152]}, {\"cell\": \"48.5\", \"bbox\": [154, 143, 169, 152]}, {\"cell\": \"36.5\", \"bbox\": [218, 143, 233, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [8, 157, 38, 166]}, {\"cell\": \"30–92\", \"bbox\": [89, 157, 111, 166]}, {\"cell\": \"19–74\", \"bbox\": [154, 157, 175, 166]}, {\"cell\": \"16–56\", \"bbox\": [218, 157, 240, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Inter quartile Range\", \"bbox\": [8, 171, 74, 180]}, {\"cell\": \"40–78\", \"bbox\": [89, 171, 111, 180]}, {\"cell\": \"39–56\", \"bbox\": [154, 171, 175, 180]}, {\"cell\": \"26–41\", \"bbox\": [218, 171, 240, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TAT (seconds)\", \"bbox\": [1, 185, 47, 194]}, {\"cell\": \" Sample size\", \"bbox\": [9, 199, 48, 208]}, {\"cell\": \"42\", \"bbox\": [89, 199, 99, 208]}, {\"cell\": \"42\", \"bbox\": [154, 199, 164, 208]}, {\"cell\": \"42\", \"bbox\": [218, 199, 228, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean ± Stdev\", \"bbox\": [9, 213, 56, 222]}, {\"cell\": \"172.71 ± 94.92\", \"bbox\": [89, 213, 138, 222]}, {\"cell\": \"131.00 ± 45.20\", \"bbox\": [154, 213, 203, 222]}, {\"cell\": \"113.36 ± 56.50\", \"bbox\": [218, 213, 267, 222]}, {\"cell\": \"0.001\", \"bbox\": [285, 213, 303, 222]}, {\"cell\": \"0.299\", \"bbox\": [326, 213, 344, 222]}, {\"cell\": \"0.0004\", \"bbox\": [363, 213, 385, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 213, 421, 222]}, {\"cell\": \"Kruskal Wallis\", \"bbox\": [440, 213, 484, 222]}, {\"cell\": \" Median\", \"bbox\": [9, 227, 34, 236]}, {\"cell\": \"132.5\", \"bbox\": [89, 227, 108, 236]}, {\"cell\": \"125.0\", \"bbox\": [154, 227, 173, 236]}, {\"cell\": \"95.0\", \"bbox\": [218, 227, 233, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Min-Max\", \"bbox\": [9, 241, 38, 250]}, {\"cell\": \"61–437\", \"bbox\": [89, 241, 115, 250]}, {\"cell\": \"61–251\", \"bbox\": [154, 241, 179, 250]}, {\"cell\": \"63–364\", \"bbox\": [218, 241, 244, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Inter quartile Range\", \"bbox\": [9, 255, 74, 264]}, {\"cell\": \"95–245\", \"bbox\": [89, 255, 115, 264]}, {\"cell\": \"96–168\", \"bbox\": [154, 255, 179, 264]}, {\"cell\": \"79–122\", \"bbox\": [218, 255, 244, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5602781_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}557{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Reasons</b></td><td colspan=\\\"5\\\"><b>Grade</b></td><td colspan=\\\"6\\\"><b>Area</b></td><td rowspan=\\\"2\\\"><b>Total</b></td><td rowspan=\\\"2\\\"><b>Total %</b></td></tr><tr><td><b>1st</b></td><td><b>2nd</b></td><td><b>3rd</b></td><td><b>4th</b></td><td><b>5th</b></td><td><b>I</b></td><td><b>II</b></td><td><b>III</b></td><td><b>IV</b></td><td><b>V</b></td><td><b>VI</b></td></tr></thead><tbody><tr><td>Not enough class time</td><td>0</td><td>2</td><td>2</td><td>4</td><td>1</td><td>7</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>47.4</td></tr><tr><td>Topics are unrelated</td><td>0</td><td>0</td><td>0</td><td>1</td><td>3</td><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>21.1</td></tr><tr><td>Do not know enough</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>5.3</td></tr><tr><td>District does not emphasize it</td><td>0</td><td>0</td><td>1</td><td>0</td><td>1</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>10.5</td></tr><tr><td>School does not emphasize it</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>0.0</td></tr><tr><td>Did not know a requirement</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>10.5</td></tr><tr><td>Other topics are more important</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>5.3</td></tr><tr><td>Not appropriate for grade level</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>0.0</td></tr><tr><td>Students not interested/concerned</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>0.0</td></tr><tr><td>N</td><td>1</td><td>2</td><td>3</td><td>6</td><td>7</td><td>17</td><td>2</td><td>0</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>100</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Reasons</b>\", \"bbox\": [1, 4, 44, 14]}, {\"cell\": \"<b>Grade</b>\", \"bbox\": [223, 4, 254, 14]}, {\"cell\": \"<b>Area</b>\", \"bbox\": [376, 4, 400, 14]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [467, 4, 492, 14]}, {\"cell\": \"<b>Total %</b>\", \"bbox\": [504, 4, 541, 14]}, {\"cell\": \"<b>1st</b>\", \"bbox\": [168, 19, 184, 29]}, {\"cell\": \"<b>2nd</b>\", \"bbox\": [198, 19, 218, 29]}, {\"cell\": \"<b>3rd</b>\", \"bbox\": [231, 19, 248, 29]}, {\"cell\": \"<b>4th</b>\", \"bbox\": [262, 19, 279, 29]}, {\"cell\": \"<b>5th</b>\", \"bbox\": [292, 19, 309, 29]}, {\"cell\": \"<b>I</b>\", \"bbox\": [327, 19, 331, 29]}, {\"cell\": \"<b>II</b>\", \"bbox\": [349, 19, 356, 29]}, {\"cell\": \"<b>III</b>\", \"bbox\": [370, 19, 380, 29]}, {\"cell\": \"<b>IV</b>\", \"bbox\": [394, 19, 406, 29]}, {\"cell\": \"<b>V</b>\", \"bbox\": [419, 19, 428, 29]}, {\"cell\": \"<b>VI</b>\", \"bbox\": [442, 19, 453, 29]}, {\"cell\": \"Not enough class time\", \"bbox\": [1, 36, 101, 47]}, {\"cell\": \"0\", \"bbox\": [172, 36, 180, 47]}, {\"cell\": \"2\", \"bbox\": [204, 36, 211, 47]}, {\"cell\": \"2\", \"bbox\": [236, 36, 243, 47]}, {\"cell\": \"4\", \"bbox\": [266, 36, 274, 47]}, {\"cell\": \"1\", \"bbox\": [297, 36, 304, 47]}, {\"cell\": \"7\", \"bbox\": [325, 33, 333, 49]}, {\"cell\": \"2\", \"bbox\": [349, 36, 356, 47]}, {\"cell\": \"0\", \"bbox\": [371, 36, 379, 47]}, {\"cell\": \"0\", \"bbox\": [396, 36, 404, 47]}, {\"cell\": \"0\", \"bbox\": [420, 36, 428, 47]}, {\"cell\": \"0\", \"bbox\": [444, 36, 451, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 36, 483, 47]}, {\"cell\": \"47.4\", \"bbox\": [512, 33, 533, 49]}, {\"cell\": \"Topics are unrelated\", \"bbox\": [1, 53, 93, 65]}, {\"cell\": \"0\", \"bbox\": [172, 53, 180, 65]}, {\"cell\": \"0\", \"bbox\": [204, 53, 211, 65]}, {\"cell\": \"0\", \"bbox\": [236, 53, 243, 65]}, {\"cell\": \"1\", \"bbox\": [266, 53, 274, 65]}, {\"cell\": \"3\", \"bbox\": [297, 53, 304, 65]}, {\"cell\": \"4\", \"bbox\": [325, 53, 333, 65]}, {\"cell\": \"0\", \"bbox\": [349, 53, 356, 65]}, {\"cell\": \"0\", \"bbox\": [371, 53, 379, 65]}, {\"cell\": \"0\", \"bbox\": [396, 53, 404, 65]}, {\"cell\": \"0\", \"bbox\": [420, 53, 428, 65]}, {\"cell\": \"0\", \"bbox\": [444, 53, 451, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 53, 483, 65]}, {\"cell\": \"21.1\", \"bbox\": [512, 53, 533, 65]}, {\"cell\": \"Do not know enough\", \"bbox\": [1, 71, 94, 82]}, {\"cell\": \"0\", \"bbox\": [172, 71, 180, 82]}, {\"cell\": \"0\", \"bbox\": [204, 71, 211, 82]}, {\"cell\": \"0\", \"bbox\": [236, 71, 243, 82]}, {\"cell\": \"1\", \"bbox\": [266, 71, 274, 82]}, {\"cell\": \"0\", \"bbox\": [297, 71, 304, 82]}, {\"cell\": \"1\", \"bbox\": [325, 71, 333, 82]}, {\"cell\": \"0\", \"bbox\": [349, 71, 356, 82]}, {\"cell\": \"0\", \"bbox\": [371, 71, 379, 82]}, {\"cell\": \"0\", \"bbox\": [396, 71, 404, 82]}, {\"cell\": \"0\", \"bbox\": [420, 71, 428, 82]}, {\"cell\": \"0\", \"bbox\": [444, 71, 451, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 71, 483, 82]}, {\"cell\": \"5.3\", \"bbox\": [515, 71, 530, 82]}, {\"cell\": \"District does not emphasize it\", \"bbox\": [1, 88, 133, 99]}, {\"cell\": \"0\", \"bbox\": [172, 88, 180, 99]}, {\"cell\": \"0\", \"bbox\": [204, 88, 211, 99]}, {\"cell\": \"1\", \"bbox\": [236, 88, 243, 99]}, {\"cell\": \"0\", \"bbox\": [266, 88, 274, 99]}, {\"cell\": \"1\", \"bbox\": [297, 88, 304, 99]}, {\"cell\": \"2\", \"bbox\": [325, 88, 333, 99]}, {\"cell\": \"0\", \"bbox\": [349, 88, 356, 99]}, {\"cell\": \"0\", \"bbox\": [371, 88, 379, 99]}, {\"cell\": \"0\", \"bbox\": [396, 88, 404, 99]}, {\"cell\": \"0\", \"bbox\": [420, 88, 428, 99]}, {\"cell\": \"0\", \"bbox\": [444, 88, 451, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 88, 483, 99]}, {\"cell\": \"10.5\", \"bbox\": [512, 88, 533, 99]}, {\"cell\": \"School does not emphasize it\", \"bbox\": [0, 105, 133, 117]}, {\"cell\": \"0\", \"bbox\": [172, 105, 180, 117]}, {\"cell\": \"0\", \"bbox\": [204, 105, 211, 117]}, {\"cell\": \"0\", \"bbox\": [236, 105, 243, 117]}, {\"cell\": \"0\", \"bbox\": [266, 105, 274, 117]}, {\"cell\": \"0\", \"bbox\": [297, 105, 304, 117]}, {\"cell\": \"0\", \"bbox\": [325, 105, 333, 117]}, {\"cell\": \"0\", \"bbox\": [349, 105, 356, 117]}, {\"cell\": \"0\", \"bbox\": [371, 105, 379, 117]}, {\"cell\": \"0\", \"bbox\": [396, 105, 404, 117]}, {\"cell\": \"0\", \"bbox\": [420, 105, 428, 117]}, {\"cell\": \"0\", \"bbox\": [444, 105, 451, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 105, 483, 117]}, {\"cell\": \"0.0\", \"bbox\": [515, 105, 530, 117]}, {\"cell\": \"Did not know a requirement\", \"bbox\": [1, 122, 125, 134]}, {\"cell\": \"1\", \"bbox\": [172, 122, 180, 134]}, {\"cell\": \"0\", \"bbox\": [204, 122, 211, 134]}, {\"cell\": \"0\", \"bbox\": [236, 122, 243, 134]}, {\"cell\": \"0\", \"bbox\": [266, 122, 274, 134]}, {\"cell\": \"1\", \"bbox\": [297, 122, 304, 134]}, {\"cell\": \"2\", \"bbox\": [325, 122, 333, 134]}, {\"cell\": \"0\", \"bbox\": [349, 122, 356, 134]}, {\"cell\": \"0\", \"bbox\": [371, 122, 379, 134]}, {\"cell\": \"0\", \"bbox\": [396, 122, 404, 134]}, {\"cell\": \"0\", \"bbox\": [420, 122, 428, 134]}, {\"cell\": \"0\", \"bbox\": [444, 122, 451, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 122, 483, 134]}, {\"cell\": \"10.5\", \"bbox\": [512, 122, 533, 134]}, {\"cell\": \"Other topics are more important\", \"bbox\": [1, 140, 144, 151]}, {\"cell\": \"0\", \"bbox\": [172, 140, 180, 151]}, {\"cell\": \"0\", \"bbox\": [204, 140, 211, 151]}, {\"cell\": \"0\", \"bbox\": [236, 140, 243, 151]}, {\"cell\": \"0\", \"bbox\": [266, 140, 274, 151]}, {\"cell\": \"1\", \"bbox\": [297, 140, 304, 151]}, {\"cell\": \"1\", \"bbox\": [325, 140, 333, 151]}, {\"cell\": \"0\", \"bbox\": [349, 140, 356, 151]}, {\"cell\": \"0\", \"bbox\": [371, 140, 379, 151]}, {\"cell\": \"0\", \"bbox\": [396, 140, 404, 151]}, {\"cell\": \"0\", \"bbox\": [420, 140, 428, 151]}, {\"cell\": \"0\", \"bbox\": [444, 140, 451, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 140, 483, 151]}, {\"cell\": \"5.3\", \"bbox\": [515, 140, 530, 151]}, {\"cell\": \"Not appropriate for grade level\", \"bbox\": [0, 157, 138, 168]}, {\"cell\": \"0\", \"bbox\": [172, 157, 179, 168]}, {\"cell\": \"0\", \"bbox\": [204, 157, 211, 168]}, {\"cell\": \"0\", \"bbox\": [236, 157, 243, 168]}, {\"cell\": \"0\", \"bbox\": [266, 157, 274, 168]}, {\"cell\": \"0\", \"bbox\": [297, 157, 304, 168]}, {\"cell\": \"0\", \"bbox\": [325, 157, 333, 168]}, {\"cell\": \"0\", \"bbox\": [349, 157, 356, 168]}, {\"cell\": \"0\", \"bbox\": [371, 157, 379, 168]}, {\"cell\": \"0\", \"bbox\": [396, 157, 404, 168]}, {\"cell\": \"0\", \"bbox\": [420, 157, 428, 168]}, {\"cell\": \"0\", \"bbox\": [444, 157, 451, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 157, 483, 168]}, {\"cell\": \"0.0\", \"bbox\": [515, 157, 530, 168]}, {\"cell\": \"Students not interested/concerned\", \"bbox\": [0, 174, 154, 186]}, {\"cell\": \"0\", \"bbox\": [172, 174, 180, 186]}, {\"cell\": \"0\", \"bbox\": [204, 174, 211, 186]}, {\"cell\": \"0\", \"bbox\": [236, 174, 243, 186]}, {\"cell\": \"0\", \"bbox\": [266, 174, 274, 186]}, {\"cell\": \"0\", \"bbox\": [297, 174, 304, 186]}, {\"cell\": \"0\", \"bbox\": [325, 174, 333, 186]}, {\"cell\": \"0\", \"bbox\": [349, 174, 356, 186]}, {\"cell\": \"0\", \"bbox\": [371, 174, 379, 186]}, {\"cell\": \"0\", \"bbox\": [396, 174, 404, 186]}, {\"cell\": \"0\", \"bbox\": [420, 174, 428, 186]}, {\"cell\": \"0\", \"bbox\": [444, 174, 451, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [475, 174, 483, 186]}, {\"cell\": \"0.0\", \"bbox\": [515, 174, 530, 186]}, {\"cell\": \"N\", \"bbox\": [1, 192, 10, 203]}, {\"cell\": \"1\", \"bbox\": [172, 192, 180, 203]}, {\"cell\": \"2\", \"bbox\": [204, 192, 211, 203]}, {\"cell\": \"3\", \"bbox\": [236, 192, 243, 203]}, {\"cell\": \"6\", \"bbox\": [266, 189, 274, 204]}, {\"cell\": \"7\", \"bbox\": [297, 189, 304, 204]}, {\"cell\": \"17\", \"bbox\": [322, 189, 336, 204]}, {\"cell\": \"2\", \"bbox\": [349, 192, 356, 203]}, {\"cell\": \"0\", \"bbox\": [371, 192, 379, 203]}, {\"cell\": \"0\", \"bbox\": [396, 192, 404, 203]}, {\"cell\": \"0\", \"bbox\": [420, 192, 428, 203]}, {\"cell\": \"0\", \"bbox\": [444, 192, 451, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [473, 192, 486, 203]}, {\"cell\": \"100\", \"bbox\": [513, 192, 532, 203]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2872569_005_02.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}558{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Access and adherence to ART</b></td><td><b>Total (<i>n </i>= 328)</b></td><td><b>Male (<i>n </i>= 169)</b></td><td><b>Female (<i>n </i>= 159)</b></td><td rowspan=\\\"2\\\"><b><i>p</i>-value*</b></td></tr><tr><td><b><i>n</i> (%)</b></td><td><b><i>n</i> (%)</b></td><td><b><i>n</i> (%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>58.4 ± 53.9</td><td>61.4 ± 73.7</td><td>55.1 ± 14.9</td><td>0.3</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>328 (100)</td><td>169 (100)</td><td>159 (100)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0.0)</td><td>0 (0.0)</td><td>0 (0.0)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td><td>0.56</td></tr><tr><td>[EMPTY_CELL]</td><td>283 (86.3)</td><td>144 (85.2)</td><td>139 (87.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>45 (13.7)</td><td>25 (14.8)</td><td>20 (12.6)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td><td>0.35</td></tr><tr><td>[EMPTY_CELL]</td><td>10 (22.2)</td><td>5 (20.0)</td><td>5 (25.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>21 (46.7)</td><td>10 (40.0)</td><td>11 (55.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>14 (31.1)</td><td>10 (40.0)</td><td>4 (20.0)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td><td>0.81</td></tr><tr><td>[EMPTY_CELL]</td><td>319 (97.3)</td><td>164 (97.0)</td><td>155 (97.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9 (2.7)</td><td>5 (3.0)</td><td>4 (2.5)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Access and adherence to ART</b>\", \"bbox\": [1, 4, 103, 13]}, {\"cell\": \"<b>Total (<i>n </i>= 328)</b>\", \"bbox\": [206, 4, 257, 14]}, {\"cell\": \"<b>Male (<i>n </i>= 169)</b>\", \"bbox\": [285, 4, 336, 14]}, {\"cell\": \"<b>Female (<i>n </i>= 159)</b>\", \"bbox\": [365, 4, 424, 14]}, {\"cell\": \"<b><i>p</i>-value*</b>\", \"bbox\": [453, 4, 484, 14]}, {\"cell\": \"<b><i>n</i> (%)</b>\", \"bbox\": [206, 17, 225, 26]}, {\"cell\": \"<b><i>n</i> (%)</b>\", \"bbox\": [285, 17, 305, 26]}, {\"cell\": \"<b><i>n</i> (%)</b>\", \"bbox\": [365, 17, 385, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 34, 174, 44]}, {\"cell\": \"58.4 ± 53.9\", \"bbox\": [206, 34, 242, 44]}, {\"cell\": \"61.4 ± 73.7\", \"bbox\": [285, 34, 322, 44]}, {\"cell\": \"55.1 ± 14.9\", \"bbox\": [365, 34, 401, 44]}, {\"cell\": \"0.3\", \"bbox\": [453, 34, 464, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 47, 130, 56]}, {\"cell\": \"–\", \"bbox\": [453, 47, 459, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 59, 17, 68]}, {\"cell\": \"328 (100)\", \"bbox\": [206, 59, 237, 68]}, {\"cell\": \"169 (100)\", \"bbox\": [285, 59, 317, 68]}, {\"cell\": \"159 (100)\", \"bbox\": [365, 59, 396, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 71, 17, 80]}, {\"cell\": \"0 (0.0)\", \"bbox\": [206, 71, 227, 80]}, {\"cell\": \"0 (0.0)\", \"bbox\": [285, 71, 307, 80]}, {\"cell\": \"0 (0.0)\", \"bbox\": [365, 71, 386, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 190, 92]}, {\"cell\": \"0.56\", \"bbox\": [453, 83, 468, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 95, 17, 104]}, {\"cell\": \"283 (86.3)\", \"bbox\": [206, 95, 239, 104]}, {\"cell\": \"144 (85.2)\", \"bbox\": [285, 95, 318, 104]}, {\"cell\": \"139 (87.4)\", \"bbox\": [365, 95, 398, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 107, 17, 117]}, {\"cell\": \"45 (13.7)\", \"bbox\": [206, 107, 235, 117]}, {\"cell\": \"25 (14.8)\", \"bbox\": [285, 107, 314, 117]}, {\"cell\": \"20 (12.6)\", \"bbox\": [365, 107, 394, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 164, 129]}, {\"cell\": \"0.35\", \"bbox\": [453, 119, 468, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 131, 64, 141]}, {\"cell\": \"10 (22.2)\", \"bbox\": [206, 131, 235, 141]}, {\"cell\": \"5 (20.0)\", \"bbox\": [285, 131, 310, 141]}, {\"cell\": \"5 (25.0)\", \"bbox\": [365, 131, 390, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 143, 71, 153]}, {\"cell\": \"21 (46.7)\", \"bbox\": [206, 143, 235, 153]}, {\"cell\": \"10 (40.0)\", \"bbox\": [285, 143, 314, 153]}, {\"cell\": \"11 (55.0)\", \"bbox\": [365, 143, 394, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 155, 26, 165]}, {\"cell\": \"14 (31.1)\", \"bbox\": [206, 155, 235, 165]}, {\"cell\": \"10 (40.0)\", \"bbox\": [285, 155, 314, 165]}, {\"cell\": \"4 (20.0)\", \"bbox\": [365, 155, 390, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 168, 152, 177]}, {\"cell\": \"0.81\", \"bbox\": [453, 168, 468, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 180, 17, 189]}, {\"cell\": \"319 (97.3)\", \"bbox\": [206, 180, 239, 189]}, {\"cell\": \"164 (97.0)\", \"bbox\": [285, 180, 318, 189]}, {\"cell\": \"155 (97.5)\", \"bbox\": [365, 180, 398, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 192, 17, 201]}, {\"cell\": \"9 (2.7)\", \"bbox\": [206, 192, 227, 201]}, {\"cell\": \"5 (3.0)\", \"bbox\": [285, 192, 307, 201]}, {\"cell\": \"4 (2.5)\", \"bbox\": [365, 192, 386, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5872568_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}559{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"3\\\"><b>Patients</b></td><td colspan=\\\"3\\\"><b>Caregiver</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>Value</b></td><td colspan=\\\"2\\\"><b>Variables</b></td><td><b>Value</b></td></tr><tr><td>[EMPTY_CELL]</td><td>M</td><td>22</td><td>Sex (%)</td><td>M</td><td>36</td></tr><tr><td>[EMPTY_CELL]</td><td>F</td><td>78</td><td>[EMPTY_CELL]</td><td>F</td><td>64</td></tr><tr><td>[EMPTY_CELL]</td><td>M</td><td>76.9 ± 5.3</td><td>Age (media ± ds)</td><td>M</td><td>59.4 ± 14.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>77.8 ± 7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>56.1 ± 13.3</td></tr><tr><td>[EMPTY_CELL]</td><td>F</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>F</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Education (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>80</td><td> Secondary</td><td>School</td><td>48</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td> Certificate</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Profession (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>70</td><td> Housewife</td><td>[EMPTY_CELL]</td><td>30</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>80</td><td> Employee</td><td>[EMPTY_CELL]</td><td>30</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>66</td><td>Relationship Status (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td> • Spouse</td><td>[EMPTY_CELL]</td><td>27.4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td> • Children</td><td>[EMPTY_CELL]</td><td>70.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Living with patient (%)</td><td>[EMPTY_CELL]</td><td>79</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Sufficient Economical Conditions (%)</td><td>[EMPTY_CELL]</td><td>75.8</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Patients</b>\", \"bbox\": [4, 5, 38, 14]}, {\"cell\": \"<b>Caregiver</b>\", \"bbox\": [180, 5, 220, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 42, 36]}, {\"cell\": \"<b>Value</b>\", \"bbox\": [132, 27, 156, 36]}, {\"cell\": \"<b>Variables</b>\", \"bbox\": [180, 27, 217, 36]}, {\"cell\": \"<b>Value</b>\", \"bbox\": [453, 27, 477, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 32, 59]}, {\"cell\": \"M\", \"bbox\": [96, 49, 105, 59]}, {\"cell\": \"22\", \"bbox\": [139, 49, 149, 59]}, {\"cell\": \"Sex (%)\", \"bbox\": [180, 49, 207, 59]}, {\"cell\": \"M\", \"bbox\": [401, 49, 409, 59]}, {\"cell\": \"36\", \"bbox\": [460, 49, 470, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F\", \"bbox\": [98, 71, 103, 81]}, {\"cell\": \"78\", \"bbox\": [139, 71, 149, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F\", \"bbox\": [402, 71, 408, 81]}, {\"cell\": \"64\", \"bbox\": [459, 71, 470, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 93, 19, 103]}, {\"cell\": \"M\", \"bbox\": [96, 93, 105, 103]}, {\"cell\": \"76.9 ± 5.3\", \"bbox\": [126, 93, 162, 103]}, {\"cell\": \"Age (media ± ds)\", \"bbox\": [180, 93, 239, 103]}, {\"cell\": \"M\", \"bbox\": [401, 93, 409, 103]}, {\"cell\": \"59.4 ± 14.3\", \"bbox\": [445, 93, 485, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 104, 48, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"77.8 ± 7\", \"bbox\": [129, 114, 159, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"56.1 ± 13.3\", \"bbox\": [445, 114, 484, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F\", \"bbox\": [98, 136, 103, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F\", \"bbox\": [402, 136, 408, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 158, 52, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education (%)\", \"bbox\": [180, 158, 228, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 169, 51, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"80\", \"bbox\": [139, 169, 149, 178]}, {\"cell\": \" Secondary\", \"bbox\": [190, 169, 226, 178]}, {\"cell\": \"School\", \"bbox\": [393, 169, 417, 178]}, {\"cell\": \"48\", \"bbox\": [460, 169, 470, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 179, 42, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Certificate\", \"bbox\": [190, 179, 227, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 201, 55, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Profession (%)\", \"bbox\": [180, 201, 230, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 211, 52, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70\", \"bbox\": [139, 211, 149, 221]}, {\"cell\": \" Housewife\", \"bbox\": [190, 211, 227, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [460, 211, 470, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 222, 41, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"80\", \"bbox\": [139, 222, 149, 231]}, {\"cell\": \" Employee\", \"bbox\": [190, 222, 224, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30\", \"bbox\": [460, 222, 470, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 244, 46, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"66\", \"bbox\": [139, 244, 149, 254]}, {\"cell\": \"Relationship Status (%)\", \"bbox\": [180, 244, 258, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" • Spouse\", \"bbox\": [190, 254, 221, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27.4\", \"bbox\": [457, 254, 473, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" • Children\", \"bbox\": [190, 264, 226, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"70.5\", \"bbox\": [457, 264, 473, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 287, 52, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Living with patient (%)\", \"bbox\": [180, 287, 256, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"79\", \"bbox\": [460, 287, 470, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 309, 52, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sufficient Economical Conditions (%)\", \"bbox\": [180, 309, 305, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"75.8\", \"bbox\": [457, 309, 473, 319]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2586019_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}560{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Clinicopathologic feature</b></td><td><b><i>n</i></b></td><td><b>MARCH2 expression (%)</b></td><td><b><i>OR</i>-value</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\"><i>Gender</i></td></tr><tr><td> Male</td><td>55</td><td>47 (85.5)</td><td>1.11</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>45</td><td>39 (86.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\"><i>Age (years)</i></td></tr><tr><td> <60</td><td>31</td><td>27 (87.1)</td><td>0.87</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥60</td><td>69</td><td>59 (85.5)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\"><i>Tumor diameter</i></td></tr><tr><td> <4cm</td><td>20</td><td>11 (35.0)</td><td>12.27</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥4cm</td><td>80</td><td>75 (98.8)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\"><i>Degree of differentiation</i></td></tr><tr><td> Well~moderate</td><td>53</td><td>41 (77.3)</td><td>6.58</td><td>[EMPTY_CELL]</td></tr><tr><td> Poor</td><td>47</td><td>45 (95.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\"><i>Depth of invasion</i></td></tr><tr><td> T1~T2</td><td>7</td><td>2 (28.6)</td><td>23.33</td><td>[EMPTY_CELL]</td></tr><tr><td> T3~T4</td><td>93</td><td>84 (90.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\"><i>Lymph node metastasis</i></td></tr><tr><td> No</td><td>58</td><td>45 (77.6)</td><td>11.84</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>42</td><td>41 (97.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\"><i>TNM stage</i></td></tr><tr><td> I–II</td><td>58</td><td>46 (79.3)</td><td>5.22</td><td>[EMPTY_CELL]</td></tr><tr><td> III–IV</td><td>42</td><td>40 (95.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Clinicopathologic feature</b>\", \"bbox\": [1, 7, 68, 26]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [92, 7, 99, 16]}, {\"cell\": \"<b>MARCH2 expression (%)</b>\", \"bbox\": [107, 7, 165, 26]}, {\"cell\": \"<b><i>OR</i>-value</b>\", \"bbox\": [172, 7, 208, 17]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [212, 7, 242, 17]}, {\"cell\": \"<i>Gender</i>\", \"bbox\": [1, 33, 29, 42]}, {\"cell\": \" Male\", \"bbox\": [8, 41, 28, 51]}, {\"cell\": \"55\", \"bbox\": [90, 41, 101, 51]}, {\"cell\": \"47 (85.5)\", \"bbox\": [119, 41, 153, 51]}, {\"cell\": \"1.11\", \"bbox\": [183, 41, 201, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 41, 237, 51]}, {\"cell\": \" Female\", \"bbox\": [8, 50, 37, 59]}, {\"cell\": \"45\", \"bbox\": [90, 50, 101, 59]}, {\"cell\": \"39 (86.7)\", \"bbox\": [119, 50, 153, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Age (years)</i>\", \"bbox\": [1, 67, 43, 76]}, {\"cell\": \" <60\", \"bbox\": [8, 75, 27, 84]}, {\"cell\": \"31\", \"bbox\": [90, 75, 101, 84]}, {\"cell\": \"27 (87.1)\", \"bbox\": [119, 75, 153, 84]}, {\"cell\": \"0.87\", \"bbox\": [183, 75, 201, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 75, 237, 84]}, {\"cell\": \" ≥60\", \"bbox\": [10, 83, 27, 93]}, {\"cell\": \"69\", \"bbox\": [90, 83, 101, 93]}, {\"cell\": \"59 (85.5)\", \"bbox\": [119, 83, 153, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Tumor diameter</i>\", \"bbox\": [0, 100, 57, 110]}, {\"cell\": \" <4cm\", \"bbox\": [8, 109, 33, 118]}, {\"cell\": \"20\", \"bbox\": [90, 109, 101, 118]}, {\"cell\": \"11 (35.0)\", \"bbox\": [119, 109, 153, 118]}, {\"cell\": \"12.27\", \"bbox\": [179, 109, 201, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 109, 241, 118]}, {\"cell\": \" ≥4cm\", \"bbox\": [10, 117, 33, 127]}, {\"cell\": \"80\", \"bbox\": [90, 117, 101, 127]}, {\"cell\": \"75 (98.8)\", \"bbox\": [119, 117, 153, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Degree of differentiation</i>\", \"bbox\": [0, 134, 86, 144]}, {\"cell\": \" Well~moderate\", \"bbox\": [8, 143, 66, 152]}, {\"cell\": \"53\", \"bbox\": [90, 143, 101, 152]}, {\"cell\": \"41 (77.3)\", \"bbox\": [119, 143, 153, 152]}, {\"cell\": \"6.58\", \"bbox\": [183, 143, 201, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 143, 241, 152]}, {\"cell\": \" Poor\", \"bbox\": [8, 151, 27, 161]}, {\"cell\": \"47\", \"bbox\": [90, 151, 101, 161]}, {\"cell\": \"45 (95.7)\", \"bbox\": [119, 151, 153, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Depth of invasion</i>\", \"bbox\": [0, 168, 63, 178]}, {\"cell\": \" T1~T2\", \"bbox\": [8, 177, 36, 186]}, {\"cell\": \"7\", \"bbox\": [94, 177, 101, 186]}, {\"cell\": \"2 (28.6)\", \"bbox\": [124, 177, 153, 186]}, {\"cell\": \"23.33\", \"bbox\": [179, 177, 201, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 177, 241, 186]}, {\"cell\": \" T3~T4\", \"bbox\": [8, 185, 36, 195]}, {\"cell\": \"93\", \"bbox\": [90, 185, 101, 195]}, {\"cell\": \"84 (90.3)\", \"bbox\": [119, 185, 153, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Lymph node metastasis</i>\", \"bbox\": [0, 202, 86, 212]}, {\"cell\": \" No\", \"bbox\": [8, 210, 21, 220]}, {\"cell\": \"58\", \"bbox\": [90, 210, 101, 220]}, {\"cell\": \"45 (77.6)\", \"bbox\": [119, 210, 153, 220]}, {\"cell\": \"11.84\", \"bbox\": [179, 210, 201, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 210, 241, 220]}, {\"cell\": \" Yes\", \"bbox\": [8, 219, 23, 228]}, {\"cell\": \"42\", \"bbox\": [90, 219, 101, 228]}, {\"cell\": \"41 (97.6)\", \"bbox\": [119, 219, 153, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>TNM stage</i>\", \"bbox\": [0, 236, 41, 245]}, {\"cell\": \" I–II\", \"bbox\": [8, 244, 21, 254]}, {\"cell\": \"58\", \"bbox\": [90, 244, 101, 254]}, {\"cell\": \"46 (79.3)\", \"bbox\": [119, 244, 153, 254]}, {\"cell\": \"5.22\", \"bbox\": [183, 244, 201, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 244, 241, 254]}, {\"cell\": \" III–IV\", \"bbox\": [8, 253, 29, 262]}, {\"cell\": \"42\", \"bbox\": [90, 253, 101, 262]}, {\"cell\": \"40 (95.2)\", \"bbox\": [119, 253, 153, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5584615_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}561{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Primer name</b></td><td><b>Primer sequence (F: forward)</b></td><td><b>Primer sequence (R: reverse)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>agaagccgtgcaaagaaaaa</td><td>gttaaaatgcaacgggctgt</td></tr><tr><td>[EMPTY_CELL]</td><td>actttgggactgtgggactg</td><td>ttgatagcatcctcgcactg</td></tr><tr><td>[EMPTY_CELL]</td><td>gcccctcaactgtctctctg</td><td>gggagctgttttctccactg</td></tr><tr><td>[EMPTY_CELL]</td><td>caggttctggaagcgagttc</td><td>gacaagcatgtgcttcctca</td></tr><tr><td>[EMPTY_CELL]</td><td>ttacgagcaccgacactctg</td><td>cgaaggaacctcgtagatgc</td></tr><tr><td>[EMPTY_CELL]</td><td>caccatgagggacaagacct</td><td>cttacaccgctctgcaatca</td></tr><tr><td>[EMPTY_CELL]</td><td>atgggctctgtggtcaagtc</td><td>ccctcccaattcccttgtat</td></tr><tr><td>[EMPTY_CELL]</td><td>ctttgttgtcggtgctgaaa</td><td>tcccgttcaaactcatttcc</td></tr><tr><td>[EMPTY_CELL]</td><td>acctttccaagatggctcct</td><td>cctgaaccacagacagagca</td></tr><tr><td>[EMPTY_CELL]</td><td>tgtgtactggcaaccaaaa</td><td>ctgaggtcccatcagctctc</td></tr><tr><td>[EMPTY_CELL]</td><td>caagcctcgtgactttcctc</td><td>ccatggcattgatcctctct</td></tr><tr><td>[EMPTY_CELL]</td><td>atcctaacccccaactgtcc</td><td>caagcctcgtgactttcctc</td></tr><tr><td>[EMPTY_CELL]</td><td>ctatgattggctgcgacaga</td><td>gtagtgtcgggaggcaatgt</td></tr><tr><td>[EMPTY_CELL]</td><td>cagtcgctggtgctgaaata</td><td>tccatttagcccgaatcttg</td></tr><tr><td>[EMPTY_CELL]</td><td>gaatgcctggaagatccaaa</td><td>aaatctcagctcgcctttca</td></tr><tr><td>[EMPTY_CELL]</td><td>agggctttcccagaacaaat</td><td>gcaggtatctgctcctctgg</td></tr><tr><td>[EMPTY_CELL]</td><td>cggcgtaagagcaaaaactc</td><td>tgggatcactctgagggaag</td></tr><tr><td>[EMPTY_CELL]</td><td>ccaatcagcttgggctagag</td><td>ctgggaaaggtgtccctgta</td></tr><tr><td>[EMPTY_CELL]</td><td>cacccacccatgctagtctt</td><td>accctcaaactcctggtcct</td></tr><tr><td>[EMPTY_CELL]</td><td>gcccagtgaggatatcttgga</td><td>atcgcagatgaagctctggt</td></tr><tr><td>[EMPTY_CELL]</td><td>tcaatgggaaagatggcttc</td><td>gagcatttcttctgccttgg</td></tr><tr><td>[EMPTY_CELL]</td><td>gtgcaattcctgagctgaca</td><td>cttaaagatggccagcaagc</td></tr><tr><td>[EMPTY_CELL]</td><td>agactacaggccctcagcaa</td><td>cctctgtcaggaaaggcttg</td></tr><tr><td>[EMPTY_CELL]</td><td>ctcatgcttgagagatcaggc</td><td>cgttgaggaagatgtgcacc</td></tr><tr><td>[EMPTY_CELL]</td><td>actctcacttgaaattgggc</td><td>gcacatgttaattactagtaaagg</td></tr><tr><td>[EMPTY_CELL]</td><td>gaaaggcatcttatggatgtgc</td><td>ctgtagtgaaacacaacacc</td></tr><tr><td>[EMPTY_CELL]</td><td>gtggctgaagaagccttgtc</td><td>tgaagccgtagccctcttta</td></tr><tr><td>[EMPTY_CELL]</td><td>aaatgtttgtgttgcggtca</td><td>tctggcacaggtgtcttcag</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Primer name</b>\", \"bbox\": [1, 4, 25, 22]}, {\"cell\": \"<b>Primer sequence (F: forward)</b>\", \"bbox\": [47, 4, 107, 22]}, {\"cell\": \"<b>Primer sequence (R: reverse)</b>\", \"bbox\": [144, 4, 204, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 24, 36]}, {\"cell\": \"agaagccgtgcaaagaaaaa\", \"bbox\": [47, 26, 122, 36]}, {\"cell\": \"gttaaaatgcaacgggctgt\", \"bbox\": [144, 26, 216, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 22, 48]}, {\"cell\": \"actttgggactgtgggactg\", \"bbox\": [47, 38, 119, 48]}, {\"cell\": \"ttgatagcatcctcgcactg\", \"bbox\": [144, 38, 213, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 17, 60]}, {\"cell\": \"gcccctcaactgtctctctg\", \"bbox\": [47, 50, 115, 60]}, {\"cell\": \"gggagctgttttctccactg\", \"bbox\": [144, 50, 213, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 18, 72]}, {\"cell\": \"caggttctggaagcgagttc\", \"bbox\": [47, 62, 119, 72]}, {\"cell\": \"gacaagcatgtgcttcctca\", \"bbox\": [144, 62, 214, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 16, 83]}, {\"cell\": \"ttacgagcaccgacactctg\", \"bbox\": [47, 74, 118, 83]}, {\"cell\": \"cgaaggaacctcgtagatgc\", \"bbox\": [144, 74, 218, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 15, 95]}, {\"cell\": \"caccatgagggacaagacct\", \"bbox\": [47, 86, 121, 95]}, {\"cell\": \"cttacaccgctctgcaatca\", \"bbox\": [144, 86, 213, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 98, 18, 107]}, {\"cell\": \"atgggctctgtggtcaagtc\", \"bbox\": [47, 98, 118, 107]}, {\"cell\": \"ccctcccaattcccttgtat\", \"bbox\": [144, 98, 209, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 24, 119]}, {\"cell\": \"ctttgttgtcggtgctgaaa\", \"bbox\": [47, 110, 115, 119]}, {\"cell\": \"tcccgttcaaactcatttcc\", \"bbox\": [144, 110, 209, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 18, 131]}, {\"cell\": \"acctttccaagatggctcct\", \"bbox\": [47, 122, 115, 131]}, {\"cell\": \"cctgaaccacagacagagca\", \"bbox\": [144, 122, 219, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 134, 19, 143]}, {\"cell\": \"tgtgtactggcaaccaaaa\", \"bbox\": [47, 134, 115, 143]}, {\"cell\": \"ctgaggtcccatcagctctc\", \"bbox\": [144, 134, 214, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 26, 155]}, {\"cell\": \"caagcctcgtgactttcctc\", \"bbox\": [47, 146, 115, 155]}, {\"cell\": \"ccatggcattgatcctctct\", \"bbox\": [144, 146, 211, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 158, 15, 167]}, {\"cell\": \"atcctaacccccaactgtcc\", \"bbox\": [47, 158, 115, 167]}, {\"cell\": \"caagcctcgtgactttcctc\", \"bbox\": [144, 158, 212, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 24, 179]}, {\"cell\": \"ctatgattggctgcgacaga\", \"bbox\": [47, 170, 118, 179]}, {\"cell\": \"gtagtgtcgggaggcaatgt\", \"bbox\": [144, 170, 218, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 182, 24, 191]}, {\"cell\": \"cagtcgctggtgctgaaata\", \"bbox\": [47, 182, 118, 191]}, {\"cell\": \"tccatttagcccgaatcttg\", \"bbox\": [144, 182, 211, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 193, 17, 203]}, {\"cell\": \"gaatgcctggaagatccaaa\", \"bbox\": [47, 193, 120, 203]}, {\"cell\": \"aaatctcagctcgcctttca\", \"bbox\": [144, 193, 211, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 205, 24, 215]}, {\"cell\": \"agggctttcccagaacaaat\", \"bbox\": [47, 205, 118, 215]}, {\"cell\": \"gcaggtatctgctcctctgg\", \"bbox\": [144, 205, 215, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 217, 19, 227]}, {\"cell\": \"cggcgtaagagcaaaaactc\", \"bbox\": [47, 217, 121, 227]}, {\"cell\": \"tgggatcactctgagggaag\", \"bbox\": [144, 217, 219, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 229, 24, 239]}, {\"cell\": \"ccaatcagcttgggctagag\", \"bbox\": [47, 229, 120, 239]}, {\"cell\": \"ctgggaaaggtgtccctgta\", \"bbox\": [144, 229, 217, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 24, 251]}, {\"cell\": \"cacccacccatgctagtctt\", \"bbox\": [47, 241, 115, 251]}, {\"cell\": \"accctcaaactcctggtcct\", \"bbox\": [144, 241, 212, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 253, 21, 263]}, {\"cell\": \"gcccagtgaggatatcttgga\", \"bbox\": [47, 253, 123, 263]}, {\"cell\": \"atcgcagatgaagctctggt\", \"bbox\": [144, 253, 216, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 265, 18, 275]}, {\"cell\": \"tcaatgggaaagatggcttc\", \"bbox\": [47, 265, 119, 275]}, {\"cell\": \"gagcatttcttctgccttgg\", \"bbox\": [144, 265, 212, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 277, 33, 287]}, {\"cell\": \"gtgcaattcctgagctgaca\", \"bbox\": [47, 277, 118, 287]}, {\"cell\": \"cttaaagatggccagcaagc\", \"bbox\": [144, 277, 217, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 289, 18, 299]}, {\"cell\": \"agactacaggccctcagcaa\", \"bbox\": [47, 289, 120, 299]}, {\"cell\": \"cctctgtcaggaaaggcttg\", \"bbox\": [144, 289, 216, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 301, 24, 311]}, {\"cell\": \"ctcatgcttgagagatcaggc\", \"bbox\": [47, 301, 122, 311]}, {\"cell\": \"cgttgaggaagatgtgcacc\", \"bbox\": [144, 301, 218, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 313, 20, 323]}, {\"cell\": \"actctcacttgaaattgggc\", \"bbox\": [47, 313, 116, 323]}, {\"cell\": \"gcacatgttaattactagtaaagg\", \"bbox\": [144, 313, 227, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 20, 335]}, {\"cell\": \"gaaaggcatcttatggatgtgc\", \"bbox\": [47, 325, 125, 335]}, {\"cell\": \"ctgtagtgaaacacaacacc\", \"bbox\": [144, 325, 216, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 337, 23, 346]}, {\"cell\": \"gtggctgaagaagccttgtc\", \"bbox\": [47, 337, 119, 346]}, {\"cell\": \"tgaagccgtagccctcttta\", \"bbox\": [144, 337, 213, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 349, 20, 358]}, {\"cell\": \"aaatgtttgtgttgcggtca\", \"bbox\": [47, 349, 115, 358]}, {\"cell\": \"tctggcacaggtgtcttcag\", \"bbox\": [144, 349, 215, 358]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2972255_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}562{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>ICD-10-AM code</b></td><td><b>Definition</b></td><td><b>% of admissions with GOR/GORD</b></td><td><b>% of admissions without GOR/GORD</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>P07.22</td><td>[EMPTY_CELL]</td><td>1.1%</td><td>0.1%</td><td>< 0.000</td></tr><tr><td>P07.31</td><td>[EMPTY_CELL]</td><td>1.5%</td><td>0.3%</td><td>< 0.000</td></tr><tr><td>P22.0</td><td>[EMPTY_CELL]</td><td>1.6%</td><td>1.0%</td><td>< 0.000</td></tr><tr><td>J21.9</td><td>[EMPTY_CELL]</td><td>2.0%</td><td>1.05</td><td>< 0.000</td></tr><tr><td>R06.8</td><td>[EMPTY_CELL]</td><td>3.0%</td><td>0.1%</td><td>< 0.001</td></tr><tr><td>R62.8</td><td>[EMPTY_CELL]</td><td>3.8%</td><td>0.1%</td><td>< 0.000</td></tr><tr><td>R63.3</td><td>[EMPTY_CELL]</td><td>9.8%</td><td>0.2%</td><td>< 0.000</td></tr><tr><td>F51.2</td><td>[EMPTY_CELL]</td><td>10.2%</td><td>0.1%</td><td>< 0.000</td></tr><tr><td>R68.1</td><td>[EMPTY_CELL]</td><td>38.1%</td><td>0.6%</td><td>< 0.000</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>ICD-10-AM code</b>\", \"bbox\": [1, 4, 55, 13]}, {\"cell\": \"<b>Definition</b>\", \"bbox\": [77, 4, 111, 13]}, {\"cell\": \"<b>% of admissions with GOR/GORD</b>\", \"bbox\": [264, 4, 334, 22]}, {\"cell\": \"<b>% of admissions without GOR/GORD</b>\", \"bbox\": [356, 4, 437, 22]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [459, 6, 465, 13]}, {\"cell\": \"P07.22\", \"bbox\": [1, 26, 23, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 26, 218, 45]}, {\"cell\": \"1.1%\", \"bbox\": [264, 26, 280, 36]}, {\"cell\": \"0.1%\", \"bbox\": [356, 26, 373, 36]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 26, 484, 36]}, {\"cell\": \"P07.31\", \"bbox\": [1, 49, 23, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 49, 220, 68]}, {\"cell\": \"1.5%\", \"bbox\": [264, 49, 280, 59]}, {\"cell\": \"0.3%\", \"bbox\": [356, 49, 373, 59]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 49, 484, 59]}, {\"cell\": \"P22.0\", \"bbox\": [1, 72, 19, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 72, 214, 82]}, {\"cell\": \"1.6%\", \"bbox\": [264, 72, 280, 82]}, {\"cell\": \"1.0%\", \"bbox\": [356, 72, 373, 82]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 72, 484, 82]}, {\"cell\": \"J21.9\", \"bbox\": [1, 86, 18, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 86, 180, 96]}, {\"cell\": \"2.0%\", \"bbox\": [264, 86, 280, 96]}, {\"cell\": \"1.05\", \"bbox\": [356, 86, 371, 96]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 86, 484, 96]}, {\"cell\": \"R06.8\", \"bbox\": [1, 100, 19, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 100, 238, 110]}, {\"cell\": \"3.0%\", \"bbox\": [264, 100, 280, 110]}, {\"cell\": \"0.1%\", \"bbox\": [356, 100, 373, 110]}, {\"cell\": \"< 0.001\", \"bbox\": [459, 100, 484, 110]}, {\"cell\": \"R62.8\", \"bbox\": [1, 114, 19, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 114, 242, 124]}, {\"cell\": \"3.8%\", \"bbox\": [264, 114, 280, 124]}, {\"cell\": \"0.1%\", \"bbox\": [356, 114, 373, 124]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 114, 484, 124]}, {\"cell\": \"R63.3\", \"bbox\": [1, 128, 19, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 128, 210, 138]}, {\"cell\": \"9.8%\", \"bbox\": [264, 128, 280, 138]}, {\"cell\": \"0.2%\", \"bbox\": [356, 128, 373, 138]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 128, 484, 138]}, {\"cell\": \"F51.2\", \"bbox\": [1, 142, 19, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 142, 238, 152]}, {\"cell\": \"10.2%\", \"bbox\": [264, 142, 284, 152]}, {\"cell\": \"0.1%\", \"bbox\": [356, 142, 373, 152]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 142, 484, 152]}, {\"cell\": \"R68.1\", \"bbox\": [1, 156, 19, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [77, 156, 220, 175]}, {\"cell\": \"38.1%\", \"bbox\": [264, 156, 284, 166]}, {\"cell\": \"0.6%\", \"bbox\": [356, 156, 373, 166]}, {\"cell\": \"< 0.000\", \"bbox\": [459, 156, 484, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5808415_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}563{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Variables</b></td><td><b>Number</b></td><td><b>Percent</b></td></tr></thead><tbody><tr><td rowspan=\\\"3\\\">Age in years</td><td>15–19</td><td>25</td><td>[EMPTY_CELL]</td></tr><tr><td>20–34</td><td>257</td><td>80.3</td></tr><tr><td>> 34</td><td>38</td><td>11.9</td></tr><tr><td rowspan=\\\"4\\\">Religion</td><td>Orthodox</td><td>193</td><td>[EMPTY_CELL]</td></tr><tr><td>Muslim</td><td>56</td><td>17.5</td></tr><tr><td>Catholic</td><td>49</td><td>15.3</td></tr><tr><td>Protestant</td><td>22</td><td>6.9</td></tr><tr><td rowspan=\\\"3\\\">Marital status</td><td>Single</td><td>29</td><td>[EMPTY_CELL]</td></tr><tr><td>Married</td><td>283</td><td>88.4</td></tr><tr><td>Divorced</td><td>8</td><td>2.5</td></tr><tr><td rowspan=\\\"4\\\">Maternal occupation</td><td>House wife</td><td>255</td><td>[EMPTY_CELL]</td></tr><tr><td>Merchant</td><td>21</td><td>6.6</td></tr><tr><td>Volunteer</td><td>21</td><td>6.6</td></tr><tr><td>Others<sup>*</sup></td><td>23</td><td>7.2</td></tr><tr><td rowspan=\\\"3\\\">Maternal education</td><td>Unable to read and write</td><td>65</td><td>[EMPTY_CELL]</td></tr><tr><td>Primary education completed</td><td>163</td><td>50.9</td></tr><tr><td>Secondary and above</td><td>92</td><td>28.8</td></tr><tr><td rowspan=\\\"3\\\">Husband education</td><td>Unable to read and write</td><td>25</td><td>[EMPTY_CELL]</td></tr><tr><td>Completed primary education</td><td>114</td><td>40.3</td></tr><tr><td>Secondary and above</td><td>144</td><td>50.9</td></tr><tr><td rowspan=\\\"3\\\">Family size</td><td>1–3</td><td>146</td><td>[EMPTY_CELL]</td></tr><tr><td>4–6</td><td>142</td><td>44.4</td></tr><tr><td>> 6</td><td>32</td><td>10.0</td></tr><tr><td rowspan=\\\"3\\\">Monthly income in Ethiopian Birr (US Dollar)</td><td>< 500 (≤ 22.6)</td><td>54</td><td>[EMPTY_CELL]</td></tr><tr><td>500–900 (22.6–40.7)</td><td>67</td><td>20.9</td></tr><tr><td>> 900 (>40.7)</td><td>199</td><td>62.2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>Number</b>\", \"bbox\": [169, 4, 198, 13]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [210, 4, 236, 13]}, {\"cell\": \"Age in years\", \"bbox\": [1, 17, 42, 27]}, {\"cell\": \"15–19\", \"bbox\": [91, 17, 113, 27]}, {\"cell\": \"25\", \"bbox\": [169, 17, 179, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 17, 221, 27]}, {\"cell\": \"20–34\", \"bbox\": [91, 31, 113, 41]}, {\"cell\": \"257\", \"bbox\": [169, 31, 183, 41]}, {\"cell\": \"80.3\", \"bbox\": [210, 31, 225, 41]}, {\"cell\": \"> 34\", \"bbox\": [91, 45, 107, 55]}, {\"cell\": \"38\", \"bbox\": [169, 45, 179, 55]}, {\"cell\": \"11.9\", \"bbox\": [210, 45, 225, 55]}, {\"cell\": \"Religion\", \"bbox\": [1, 59, 28, 69]}, {\"cell\": \"Orthodox\", \"bbox\": [91, 59, 124, 69]}, {\"cell\": \"193\", \"bbox\": [169, 59, 183, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 59, 225, 69]}, {\"cell\": \"Muslim\", \"bbox\": [91, 73, 117, 83]}, {\"cell\": \"56\", \"bbox\": [169, 73, 179, 83]}, {\"cell\": \"17.5\", \"bbox\": [210, 73, 225, 83]}, {\"cell\": \"Catholic\", \"bbox\": [91, 87, 119, 97]}, {\"cell\": \"49\", \"bbox\": [169, 87, 179, 97]}, {\"cell\": \"15.3\", \"bbox\": [210, 87, 225, 97]}, {\"cell\": \"Protestant\", \"bbox\": [91, 101, 126, 111]}, {\"cell\": \"22\", \"bbox\": [169, 101, 179, 111]}, {\"cell\": \"6.9\", \"bbox\": [210, 101, 221, 111]}, {\"cell\": \"Marital status\", \"bbox\": [1, 115, 45, 125]}, {\"cell\": \"Single\", \"bbox\": [91, 115, 113, 125]}, {\"cell\": \"29\", \"bbox\": [169, 115, 179, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 115, 221, 125]}, {\"cell\": \"Married\", \"bbox\": [91, 129, 118, 139]}, {\"cell\": \"283\", \"bbox\": [169, 129, 183, 139]}, {\"cell\": \"88.4\", \"bbox\": [210, 129, 225, 139]}, {\"cell\": \"Divorced\", \"bbox\": [91, 143, 122, 153]}, {\"cell\": \"8\", \"bbox\": [169, 143, 175, 153]}, {\"cell\": \"2.5\", \"bbox\": [210, 143, 221, 153]}, {\"cell\": \"Maternal occupation\", \"bbox\": [1, 157, 68, 167]}, {\"cell\": \"House wife\", \"bbox\": [91, 157, 129, 167]}, {\"cell\": \"255\", \"bbox\": [169, 157, 183, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 157, 225, 167]}, {\"cell\": \"Merchant\", \"bbox\": [91, 171, 124, 181]}, {\"cell\": \"21\", \"bbox\": [169, 171, 179, 181]}, {\"cell\": \"6.6\", \"bbox\": [210, 171, 221, 181]}, {\"cell\": \"Volunteer\", \"bbox\": [91, 185, 124, 195]}, {\"cell\": \"21\", \"bbox\": [169, 185, 179, 195]}, {\"cell\": \"6.6\", \"bbox\": [210, 185, 221, 195]}, {\"cell\": \"Others<sup>*</sup>\", \"bbox\": [91, 197, 117, 209]}, {\"cell\": \"23\", \"bbox\": [169, 199, 179, 209]}, {\"cell\": \"7.2\", \"bbox\": [210, 199, 221, 209]}, {\"cell\": \"Maternal education\", \"bbox\": [1, 213, 65, 223]}, {\"cell\": \"Unable to read and write\", \"bbox\": [91, 213, 142, 232]}, {\"cell\": \"65\", \"bbox\": [169, 213, 179, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 213, 225, 223]}, {\"cell\": \"Primary education completed\", \"bbox\": [91, 236, 152, 255]}, {\"cell\": \"163\", \"bbox\": [169, 236, 183, 246]}, {\"cell\": \"50.9\", \"bbox\": [210, 236, 225, 246]}, {\"cell\": \"Secondary and above\", \"bbox\": [91, 259, 141, 278]}, {\"cell\": \"92\", \"bbox\": [169, 259, 179, 269]}, {\"cell\": \"28.8\", \"bbox\": [210, 259, 225, 269]}, {\"cell\": \"Husband education\", \"bbox\": [1, 282, 65, 292]}, {\"cell\": \"Unable to read and write\", \"bbox\": [91, 282, 142, 301]}, {\"cell\": \"25\", \"bbox\": [169, 282, 179, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 282, 221, 292]}, {\"cell\": \"Completed primary education\", \"bbox\": [91, 305, 156, 324]}, {\"cell\": \"114\", \"bbox\": [169, 305, 183, 315]}, {\"cell\": \"40.3\", \"bbox\": [210, 305, 225, 315]}, {\"cell\": \"Secondary and above\", \"bbox\": [91, 328, 141, 347]}, {\"cell\": \"144\", \"bbox\": [169, 328, 183, 338]}, {\"cell\": \"50.9\", \"bbox\": [210, 328, 225, 338]}, {\"cell\": \"Family size\", \"bbox\": [1, 351, 37, 361]}, {\"cell\": \"1–3\", \"bbox\": [91, 351, 105, 361]}, {\"cell\": \"146\", \"bbox\": [169, 351, 183, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 351, 225, 361]}, {\"cell\": \"4–6\", \"bbox\": [91, 365, 105, 375]}, {\"cell\": \"142\", \"bbox\": [169, 365, 183, 375]}, {\"cell\": \"44.4\", \"bbox\": [210, 365, 225, 375]}, {\"cell\": \"> 6\", \"bbox\": [91, 379, 104, 389]}, {\"cell\": \"32\", \"bbox\": [169, 379, 179, 389]}, {\"cell\": \"10.0\", \"bbox\": [210, 379, 225, 389]}, {\"cell\": \"Monthly income in Ethiopian Birr (US Dollar)\", \"bbox\": [1, 393, 79, 412]}, {\"cell\": \"< 500 (≤ 22.6)\", \"bbox\": [91, 393, 138, 403]}, {\"cell\": \"54\", \"bbox\": [169, 393, 179, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 393, 225, 403]}, {\"cell\": \"500–900 (22.6–40.7)\", \"bbox\": [91, 407, 157, 417]}, {\"cell\": \"67\", \"bbox\": [169, 407, 179, 417]}, {\"cell\": \"20.9\", \"bbox\": [210, 407, 225, 417]}, {\"cell\": \"> 900 (>40.7)\", \"bbox\": [91, 421, 139, 431]}, {\"cell\": \"199\", \"bbox\": [169, 421, 183, 431]}, {\"cell\": \"62.2\", \"bbox\": [210, 421, 225, 431]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5887183_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}564{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Fatty acid</b></td><td><b>Control</b></td><td><b>High fat diet</b></td></tr></thead><tbody><tr><td>Myristic (14:0)</td><td>[EMPTY_CELL]</td><td>13.05 ± 2.304<sup><i>∗</i></sup></td></tr><tr><td>Palmitic (16:0)</td><td>[EMPTY_CELL]</td><td>136.95 ± 22.83<sup><i>∗</i></sup></td></tr><tr><td>Palmitoleic (16:1)</td><td>[EMPTY_CELL]</td><td>3.2 ± 0.647<sup><i>∗</i></sup></td></tr><tr><td>Stearic (18:0)</td><td>[EMPTY_CELL]</td><td>147.14 ± 21.13<sup><i>∗</i></sup></td></tr><tr><td>Oleic (18:1)</td><td>[EMPTY_CELL]</td><td>21.52 ± 4.774<sup><i>∗</i></sup></td></tr><tr><td>Linoleic (18:2)</td><td>[EMPTY_CELL]</td><td>11.45 ± 2.765<sup><i>∗</i></sup></td></tr><tr><td>Arachidic (20:0)</td><td>[EMPTY_CELL]</td><td>5.01 ± 0.88<sup><i>∗</i></sup></td></tr><tr><td><i>α</i>-linoleic (18:3)</td><td>[EMPTY_CELL]</td><td>1.97 ± 0.495<sup><i>∗</i></sup></td></tr><tr><td>Behenic (22:0)</td><td>[EMPTY_CELL]</td><td>2.39 ± 0.336<sup><i>∗</i></sup></td></tr><tr><td>Arachidonic (20:4)</td><td>[EMPTY_CELL]</td><td>5.27 ± 1.259<sup><i>∗</i></sup></td></tr><tr><td>Lignoceric (24:0)</td><td>[EMPTY_CELL]</td><td>2.53 ± 0.444<sup><i>∗</i></sup></td></tr><tr><td>Eicosapentaenoic (20:5)</td><td>[EMPTY_CELL]</td><td>1.55 ± 0.656<sup><i>∗</i></sup></td></tr><tr><td>Nervonic (24:1)</td><td>[EMPTY_CELL]</td><td>1.32 ± 0.417<sup><i>∗</i></sup></td></tr><tr><td>Docosahexaenoic (22:6)</td><td>[EMPTY_CELL]</td><td>1.1 ± 0.145<sup><i>∗</i></sup></td></tr><tr><td>UFA</td><td>[EMPTY_CELL]</td><td>47.38 ± 7.813<sup><i>∗</i></sup></td></tr><tr><td>SFA</td><td>[EMPTY_CELL]</td><td>307.07 ± 44.118<sup><i>∗</i></sup></td></tr><tr><td>Total</td><td>[EMPTY_CELL]</td><td>354.44 ± 46.163<sup><i>∗</i></sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Fatty acid</b>\", \"bbox\": [2, 4, 39, 15]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [118, 4, 148, 15]}, {\"cell\": \"<b>High fat diet</b>\", \"bbox\": [186, 4, 233, 15]}, {\"cell\": \"Myristic (14:0)\", \"bbox\": [2, 17, 56, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [109, 14, 157, 29]}, {\"cell\": \"13.05 ± 2.304<sup><i>∗</i></sup>\", \"bbox\": [184, 13, 235, 29]}, {\"cell\": \"Palmitic (16:0)\", \"bbox\": [2, 29, 56, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 26, 165, 41]}, {\"cell\": \"136.95 ± 22.83<sup><i>∗</i></sup>\", \"bbox\": [182, 25, 237, 41]}, {\"cell\": \"Palmitoleic (16:1)\", \"bbox\": [2, 42, 65, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 38, 161, 54]}, {\"cell\": \"3.2 ± 0.647<sup><i>∗</i></sup>\", \"bbox\": [187, 38, 232, 54]}, {\"cell\": \"Stearic (18:0)\", \"bbox\": [2, 54, 51, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 51, 163, 66]}, {\"cell\": \"147.14 ± 21.13<sup><i>∗</i></sup>\", \"bbox\": [184, 50, 235, 66]}, {\"cell\": \"Oleic (18:1)\", \"bbox\": [2, 67, 44, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 63, 161, 79]}, {\"cell\": \"21.52 ± 4.774<sup><i>∗</i></sup>\", \"bbox\": [184, 63, 235, 79]}, {\"cell\": \"Linoleic (18:2)\", \"bbox\": [2, 79, 55, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [105, 76, 160, 91]}, {\"cell\": \"11.45 ± 2.765<sup><i>∗</i></sup>\", \"bbox\": [184, 75, 235, 91]}, {\"cell\": \"Arachidic (20:0)\", \"bbox\": [2, 91, 63, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [109, 88, 157, 104]}, {\"cell\": \"5.01 ± 0.88<sup><i>∗</i></sup>\", \"bbox\": [188, 87, 231, 104]}, {\"cell\": \"<i>α</i>-linoleic (18:3)\", \"bbox\": [2, 101, 61, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 101, 156, 116]}, {\"cell\": \"1.97 ± 0.495<sup><i>∗</i></sup>\", \"bbox\": [186, 100, 233, 116]}, {\"cell\": \"Behenic (22:0)\", \"bbox\": [2, 116, 56, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 113, 156, 129]}, {\"cell\": \"2.39 ± 0.336<sup><i>∗</i></sup>\", \"bbox\": [185, 112, 234, 129]}, {\"cell\": \"Arachidonic (20:4)\", \"bbox\": [2, 129, 73, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 126, 164, 141]}, {\"cell\": \"5.27 ± 1.259<sup><i>∗</i></sup>\", \"bbox\": [186, 125, 233, 141]}, {\"cell\": \"Lignoceric (24:0)\", \"bbox\": [2, 141, 66, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 138, 153, 153]}, {\"cell\": \"2.53 ± 0.444<sup><i>∗</i></sup>\", \"bbox\": [185, 137, 234, 153]}, {\"cell\": \"Eicosapentaenoic (20:5)\", \"bbox\": [2, 154, 90, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [109, 150, 157, 166]}, {\"cell\": \"1.55 ± 0.656<sup><i>∗</i></sup>\", \"bbox\": [186, 150, 233, 166]}, {\"cell\": \"Nervonic (24:1)\", \"bbox\": [2, 166, 60, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 163, 155, 178]}, {\"cell\": \"1.32 ± 0.417<sup><i>∗</i></sup>\", \"bbox\": [186, 162, 233, 178]}, {\"cell\": \"Docosahexaenoic (22:6)\", \"bbox\": [2, 179, 91, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 175, 157, 191]}, {\"cell\": \"1.1 ± 0.145<sup><i>∗</i></sup>\", \"bbox\": [189, 175, 230, 191]}, {\"cell\": \"UFA\", \"bbox\": [2, 191, 21, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 188, 163, 203]}, {\"cell\": \"47.38 ± 7.813<sup><i>∗</i></sup>\", \"bbox\": [185, 187, 234, 203]}, {\"cell\": \"SFA\", \"bbox\": [2, 204, 19, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 200, 164, 216]}, {\"cell\": \"307.07 ± 44.118<sup><i>∗</i></sup>\", \"bbox\": [180, 200, 239, 216]}, {\"cell\": \"Total\", \"bbox\": [2, 216, 23, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 213, 164, 228]}, {\"cell\": \"354.44 ± 46.163<sup><i>∗</i></sup>\", \"bbox\": [179, 212, 240, 228]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4951584_003_02.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}565{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Boys</b></td><td colspan=\\\"2\\\"><b>Girls</b></td></tr><tr><td><b>BMI category</b></td><td><b>Year</b></td><td><b>14</b></td><td><b>15</b></td><td><b>14</b></td><td><b>15</b></td></tr></thead><tbody><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>1992</td><td>16.0 (0.7)</td><td>16.5 (0.6)</td><td>16.3 (0.8)</td><td>16.8 (0.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>15.7 (0.8)</td><td>16.4 (0.9)</td><td>16.3 (0.6)</td><td>16.7 (0.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>15.9 (0.7)</td><td>16.3 (0.9)</td><td>16.4 (0.8)</td><td>16.7 (0.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>15.8 (0.6)</td><td>16.2 (0.9)</td><td>16.2 (0.8)</td><td>16.6 (0.9)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td><i>F</i> (1,3) = 2.32p = 0.129</td><td><i>F</i> (1,3) = 2.52p = 0.114</td><td><i>F</i> (1,3) = 0.29p =.594</td><td><i>F</i> (1,3) = 4.13p = 0.043</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>1992</td><td>19.8 (1.5)</td><td>20.4 (1.5)</td><td>20.0(1.6)</td><td>20.5 (1.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>19.7 (1.5)</td><td>20.4 (1.5)</td><td>19.9 (1.6)</td><td>20.5 (1.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>20.0 (1.6)</td><td>20.6 (1.6)</td><td>19.9 (1.7)</td><td>20.5 (1.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>19.9 (1.6)</td><td>20.6 (1.6)</td><td>20.1 (1.7)</td><td>20.5 (1.7)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td><i>F</i> (1,3) = 6.49p = 0.011</td><td><i>F</i> (1,3) = 12.78p = 0.000</td><td><i>F</i> (1,3) = 2.63p = 0.105</td><td><i>F</i> (1,3) = 0.18p = 0.669</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>1992</td><td>24.7 (1.2)</td><td>25.3 (1.3)</td><td>25.4 (1.3)</td><td>25.9 (1.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>24.6 (1.4)</td><td>25.0 (1.2)</td><td>25.4 (1.4)</td><td>26.0 (1.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>24.7 (1.4)</td><td>25.4 (1.4)</td><td>25.4 (1.3)</td><td>25.9 (1.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>24.8 (1.3)</td><td>25.4 (1.4)</td><td>25.3 (1.4)</td><td>26 0.0 (1.3)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td><i>F</i> (1,3) = 1.14p = 0.287</td><td><i>F</i> (1,3) = 2.72p = 0.100</td><td><i>F</i> (1.3) = 0.21p = 0.644</td><td><i>F</i> (1,3) = 0.45p = 0.505</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>1992</td><td>30.6 (1.4)</td><td>30.0 (1.2)</td><td>31.4 (1.6)</td><td>31.2 (1.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>30.9 (2.1)</td><td>30.3 (1.5)</td><td>30.7 (1.3)</td><td>30.7 (1.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>30.6 (1.9)</td><td>30.8 (1.7)</td><td>30.7 (1.5)</td><td>31.2 (1.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>30.8 (2.1)</td><td>30.9 (1.8)</td><td>31.3 (1.5)</td><td>31.2 (1.5)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td><i>F</i> (1,3) = 0.17p = 0.684</td><td><i>F</i> (1,3) = 5.20p = 0.024</td><td><i>F</i> (1.3) = 0.07p = 0.793</td><td><i>F</i> (1.3) = 0.17p = 0.680</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Boys</b>\", \"bbox\": [239, 6, 261, 17]}, {\"cell\": \"<b>Girls</b>\", \"bbox\": [408, 6, 430, 17]}, {\"cell\": \"<b>BMI category</b>\", \"bbox\": [0, 21, 58, 32]}, {\"cell\": \"<b>Year</b>\", \"bbox\": [113, 21, 134, 32]}, {\"cell\": \"<b>14</b>\", \"bbox\": [202, 21, 214, 32]}, {\"cell\": \"<b>15</b>\", \"bbox\": [286, 21, 298, 32]}, {\"cell\": \"<b>14</b>\", \"bbox\": [369, 21, 381, 32]}, {\"cell\": \"<b>15</b>\", \"bbox\": [454, 21, 466, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 37, 27, 48]}, {\"cell\": \"1992\", \"bbox\": [112, 37, 134, 48]}, {\"cell\": \"16.0 (0.7)\", \"bbox\": [187, 37, 228, 48]}, {\"cell\": \"16.5 (0.6)\", \"bbox\": [272, 37, 313, 48]}, {\"cell\": \"16.3 (0.8)\", \"bbox\": [355, 37, 396, 48]}, {\"cell\": \"16.8 (0.7)\", \"bbox\": [439, 37, 480, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 52, 134, 63]}, {\"cell\": \"15.7 (0.8)\", \"bbox\": [187, 52, 228, 63]}, {\"cell\": \"16.4 (0.9)\", \"bbox\": [272, 52, 313, 63]}, {\"cell\": \"16.3 (0.6)\", \"bbox\": [355, 52, 396, 63]}, {\"cell\": \"16.7 (0.9)\", \"bbox\": [439, 52, 480, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 67, 134, 78]}, {\"cell\": \"15.9 (0.7)\", \"bbox\": [187, 67, 228, 78]}, {\"cell\": \"16.3 (0.9)\", \"bbox\": [272, 67, 313, 78]}, {\"cell\": \"16.4 (0.8)\", \"bbox\": [355, 67, 396, 78]}, {\"cell\": \"16.7 (0.8)\", \"bbox\": [439, 67, 480, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 82, 134, 93]}, {\"cell\": \"15.8 (0.6)\", \"bbox\": [187, 82, 228, 93]}, {\"cell\": \"16.2 (0.9)\", \"bbox\": [272, 82, 313, 93]}, {\"cell\": \"16.2 (0.8)\", \"bbox\": [355, 82, 396, 93]}, {\"cell\": \"16.6 (0.9)\", \"bbox\": [439, 82, 480, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 112, 52, 123]}, {\"cell\": \"<i>F</i> (1,3) = 2.32p = 0.129\", \"bbox\": [170, 95, 228, 123]}, {\"cell\": \"<i>F</i> (1,3) = 2.52p = 0.114\", \"bbox\": [263, 95, 321, 123]}, {\"cell\": \"<i>F</i> (1,3) = 0.29p =.594\", \"bbox\": [346, 95, 404, 123]}, {\"cell\": \"<i>F</i> (1,3) = 4.13p = 0.043\", \"bbox\": [431, 95, 489, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 128, 33, 139]}, {\"cell\": \"1992\", \"bbox\": [112, 128, 134, 139]}, {\"cell\": \"19.8 (1.5)\", \"bbox\": [187, 128, 228, 139]}, {\"cell\": \"20.4 (1.5)\", \"bbox\": [272, 128, 313, 139]}, {\"cell\": \"20.0(1.6)\", \"bbox\": [356, 128, 395, 139]}, {\"cell\": \"20.5 (1.6)\", \"bbox\": [439, 128, 480, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 143, 134, 154]}, {\"cell\": \"19.7 (1.5)\", \"bbox\": [187, 143, 228, 154]}, {\"cell\": \"20.4 (1.5)\", \"bbox\": [272, 143, 313, 154]}, {\"cell\": \"19.9 (1.6)\", \"bbox\": [355, 143, 396, 154]}, {\"cell\": \"20.5 (1.7)\", \"bbox\": [439, 143, 480, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 158, 134, 169]}, {\"cell\": \"20.0 (1.6)\", \"bbox\": [187, 158, 228, 169]}, {\"cell\": \"20.6 (1.6)\", \"bbox\": [272, 158, 313, 169]}, {\"cell\": \"19.9 (1.7)\", \"bbox\": [355, 158, 396, 169]}, {\"cell\": \"20.5 (1.7)\", \"bbox\": [439, 158, 480, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 177, 134, 188]}, {\"cell\": \"19.9 (1.6)\", \"bbox\": [187, 177, 228, 188]}, {\"cell\": \"20.6 (1.6)\", \"bbox\": [272, 177, 313, 188]}, {\"cell\": \"20.1 (1.7)\", \"bbox\": [355, 177, 396, 188]}, {\"cell\": \"20.5 (1.7)\", \"bbox\": [439, 177, 480, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 207, 52, 219]}, {\"cell\": \"<i>F</i> (1,3) = 6.49p = 0.011\", \"bbox\": [170, 191, 228, 219]}, {\"cell\": \"<i>F</i> (1,3) = 12.78p = 0.000\", \"bbox\": [254, 191, 317, 219]}, {\"cell\": \"<i>F</i> (1,3) = 2.63p = 0.105\", \"bbox\": [346, 191, 404, 219]}, {\"cell\": \"<i>F</i> (1,3) = 0.18p = 0.669\", \"bbox\": [431, 191, 489, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 223, 23, 234]}, {\"cell\": \"1992\", \"bbox\": [112, 223, 134, 234]}, {\"cell\": \"24.7 (1.2)\", \"bbox\": [187, 223, 228, 234]}, {\"cell\": \"25.3 (1.3)\", \"bbox\": [272, 223, 313, 234]}, {\"cell\": \"25.4 (1.3)\", \"bbox\": [355, 223, 396, 234]}, {\"cell\": \"25.9 (1.3)\", \"bbox\": [439, 223, 480, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 238, 134, 249]}, {\"cell\": \"24.6 (1.4)\", \"bbox\": [187, 238, 228, 249]}, {\"cell\": \"25.0 (1.2)\", \"bbox\": [272, 238, 313, 249]}, {\"cell\": \"25.4 (1.4)\", \"bbox\": [355, 238, 396, 249]}, {\"cell\": \"26.0 (1.4)\", \"bbox\": [439, 238, 480, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 253, 134, 264]}, {\"cell\": \"24.7 (1.4)\", \"bbox\": [187, 253, 228, 264]}, {\"cell\": \"25.4 (1.4)\", \"bbox\": [272, 253, 313, 264]}, {\"cell\": \"25.4 (1.3)\", \"bbox\": [355, 253, 396, 264]}, {\"cell\": \"25.9 (1.3)\", \"bbox\": [439, 253, 480, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 268, 134, 279]}, {\"cell\": \"24.8 (1.3)\", \"bbox\": [187, 268, 228, 279]}, {\"cell\": \"25.4 (1.4)\", \"bbox\": [272, 268, 313, 279]}, {\"cell\": \"25.3 (1.4)\", \"bbox\": [355, 268, 396, 279]}, {\"cell\": \"26 0.0 (1.3)\", \"bbox\": [436, 268, 484, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 298, 52, 310]}, {\"cell\": \"<i>F</i> (1,3) = 1.14p = 0.287\", \"bbox\": [179, 282, 237, 310]}, {\"cell\": \"<i>F</i> (1,3) = 2.72p = 0.100\", \"bbox\": [263, 282, 321, 310]}, {\"cell\": \"<i>F</i> (1.3) = 0.21p = 0.644\", \"bbox\": [346, 282, 404, 310]}, {\"cell\": \"<i>F</i> (1,3) = 0.45p = 0.505\", \"bbox\": [431, 282, 489, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 314, 28, 325]}, {\"cell\": \"1992\", \"bbox\": [112, 314, 134, 325]}, {\"cell\": \"30.6 (1.4)\", \"bbox\": [187, 314, 228, 325]}, {\"cell\": \"30.0 (1.2)\", \"bbox\": [272, 314, 313, 325]}, {\"cell\": \"31.4 (1.6)\", \"bbox\": [355, 314, 396, 325]}, {\"cell\": \"31.2 (1.4)\", \"bbox\": [439, 314, 480, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 329, 134, 340]}, {\"cell\": \"30.9 (2.1)\", \"bbox\": [187, 329, 228, 340]}, {\"cell\": \"30.3 (1.5)\", \"bbox\": [272, 329, 313, 340]}, {\"cell\": \"30.7 (1.3)\", \"bbox\": [355, 329, 396, 340]}, {\"cell\": \"30.7 (1.0)\", \"bbox\": [439, 329, 480, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 344, 134, 355]}, {\"cell\": \"30.6 (1.9)\", \"bbox\": [187, 344, 228, 355]}, {\"cell\": \"30.8 (1.7)\", \"bbox\": [272, 344, 313, 355]}, {\"cell\": \"30.7 (1.5)\", \"bbox\": [355, 344, 396, 355]}, {\"cell\": \"31.2 (1.5)\", \"bbox\": [439, 344, 480, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 359, 134, 370]}, {\"cell\": \"30.8 (2.1)\", \"bbox\": [187, 359, 228, 370]}, {\"cell\": \"30.9 (1.8)\", \"bbox\": [272, 359, 313, 370]}, {\"cell\": \"31.3 (1.5)\", \"bbox\": [355, 359, 396, 370]}, {\"cell\": \"31.2 (1.5)\", \"bbox\": [439, 359, 480, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 389, 52, 401]}, {\"cell\": \"<i>F</i> (1,3) = 0.17p = 0.684\", \"bbox\": [179, 373, 237, 401]}, {\"cell\": \"<i>F</i> (1,3) = 5.20p = 0.024\", \"bbox\": [263, 373, 321, 401]}, {\"cell\": \"<i>F</i> (1.3) = 0.07p = 0.793\", \"bbox\": [346, 373, 404, 401]}, {\"cell\": \"<i>F</i> (1.3) = 0.17p = 0.680\", \"bbox\": [431, 373, 489, 401]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2898044_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}566{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Time Domain HRV Measures</b></td><td colspan=\\\"10\\\"><b>During Relaxation</b></td></tr><tr><td colspan=\\\"5\\\"><b>Optimal US Signal Not Compared to ECG Signal</b></td><td colspan=\\\"5\\\"><b>Relative Error Compared/Not Compared to ECG (%)</b></td></tr><tr><td><b>Sub. 1</b></td><td><b>Sub. 2</b></td><td><b>Sub. 3</b></td><td><b>Sub. 4</b></td><td><b>Sub. 5</b></td><td><b>Sub. 1</b></td><td><b>Sub. 2</b></td><td><b>Sub. 3</b></td><td><b>Sub. 4</b></td><td><b>Sub. 5</b></td></tr></thead><tbody><tr><td><i>AVNN</i> (ms)</td><td>937.50</td><td>1026.86</td><td>1001.04</td><td>805.48</td><td>[EMPTY_CELL]</td><td>0.00/0.02</td><td>0.34/0.23</td><td>0.00/0.06</td><td>0.02/0.32</td><td>0.01/0.02</td></tr><tr><td><i>SDNN</i> (ms)</td><td>46.32</td><td>68.24</td><td>61.28</td><td>30.95</td><td>[EMPTY_CELL]</td><td>0.28/1.34</td><td>8.99/8.78</td><td>0.01/0.02</td><td>0.30/12.91</td><td>0.01/0.18</td></tr><tr><td><i>rMSSD</i> (ms)</td><td>23.25</td><td>70.29</td><td>45.28</td><td>26.41</td><td>[EMPTY_CELL]</td><td>2.68/4.29</td><td>36.86/44.93</td><td>2.70/3.28</td><td>2.49/75.68</td><td>0.44/0.52</td></tr><tr><td><i>pNN20</i> (%)</td><td>38.81</td><td>62.40</td><td>65.99</td><td>14.21</td><td>[EMPTY_CELL]</td><td>6.53/7.09</td><td>9.67/10.48</td><td>2.18/3.18</td><td>3.20/3.71</td><td>3.42/3.73</td></tr><tr><td><i>pNN50</i> (%)</td><td>3.30</td><td>29.24</td><td>24.15</td><td>1.99</td><td>[EMPTY_CELL]</td><td>2.09/54.78</td><td>10.05/11.23</td><td>0.34/0.74</td><td>1.75/95.53</td><td>1.20/1.27</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Time Domain HRV Measures</b>\", \"bbox\": [14, 14, 88, 34]}, {\"cell\": \"<b>During Relaxation</b>\", \"bbox\": [324, 4, 395, 15]}, {\"cell\": \"<b>Optimal US Signal Not Compared to ECG Signal</b>\", \"bbox\": [127, 19, 311, 29]}, {\"cell\": \"<b>Relative Error Compared/Not Compared to ECG (%)</b>\", \"bbox\": [380, 19, 576, 29]}, {\"cell\": \"<b>Sub. 1</b>\", \"bbox\": [112, 33, 137, 43]}, {\"cell\": \"<b>Sub. 2</b>\", \"bbox\": [159, 33, 185, 43]}, {\"cell\": \"<b>Sub. 3</b>\", \"bbox\": [206, 33, 232, 43]}, {\"cell\": \"<b>Sub. 4</b>\", \"bbox\": [253, 33, 279, 43]}, {\"cell\": \"<b>Sub. 5</b>\", \"bbox\": [300, 33, 326, 43]}, {\"cell\": \"<b>Sub. 1</b>\", \"bbox\": [352, 33, 378, 43]}, {\"cell\": \"<b>Sub. 2</b>\", \"bbox\": [409, 33, 434, 43]}, {\"cell\": \"<b>Sub. 3</b>\", \"bbox\": [465, 33, 490, 43]}, {\"cell\": \"<b>Sub. 4</b>\", \"bbox\": [521, 33, 547, 43]}, {\"cell\": \"<b>Sub. 5</b>\", \"bbox\": [578, 33, 603, 43]}, {\"cell\": \"<i>AVNN</i> (ms)\", \"bbox\": [29, 48, 73, 58]}, {\"cell\": \"937.50\", \"bbox\": [112, 48, 137, 57]}, {\"cell\": \"1026.86\", \"bbox\": [158, 48, 186, 57]}, {\"cell\": \"1001.04\", \"bbox\": [205, 48, 233, 57]}, {\"cell\": \"805.48\", \"bbox\": [254, 48, 278, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [299, 48, 328, 57]}, {\"cell\": \"0.00/0.02\", \"bbox\": [347, 48, 383, 57]}, {\"cell\": \"0.34/0.23\", \"bbox\": [404, 48, 439, 57]}, {\"cell\": \"0.00/0.06\", \"bbox\": [460, 48, 495, 57]}, {\"cell\": \"0.02/0.32\", \"bbox\": [516, 48, 552, 57]}, {\"cell\": \"0.01/0.02\", \"bbox\": [573, 48, 608, 57]}, {\"cell\": \"<i>SDNN</i> (ms)\", \"bbox\": [29, 58, 73, 68]}, {\"cell\": \"46.32\", \"bbox\": [114, 58, 135, 67]}, {\"cell\": \"68.24\", \"bbox\": [162, 58, 182, 67]}, {\"cell\": \"61.28\", \"bbox\": [209, 58, 229, 67]}, {\"cell\": \"30.95\", \"bbox\": [256, 58, 276, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 58, 323, 67]}, {\"cell\": \"0.28/1.34\", \"bbox\": [347, 58, 383, 67]}, {\"cell\": \"8.99/8.78\", \"bbox\": [404, 58, 439, 67]}, {\"cell\": \"0.01/0.02\", \"bbox\": [460, 58, 495, 67]}, {\"cell\": \"0.30/12.91\", \"bbox\": [514, 58, 554, 67]}, {\"cell\": \"0.01/0.18\", \"bbox\": [573, 58, 608, 67]}, {\"cell\": \"<i>rMSSD</i> (ms)\", \"bbox\": [28, 68, 75, 78]}, {\"cell\": \"23.25\", \"bbox\": [114, 68, 135, 77]}, {\"cell\": \"70.29\", \"bbox\": [162, 68, 182, 77]}, {\"cell\": \"45.28\", \"bbox\": [209, 68, 229, 77]}, {\"cell\": \"26.41\", \"bbox\": [256, 68, 276, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 68, 323, 77]}, {\"cell\": \"2.68/4.29\", \"bbox\": [347, 68, 383, 77]}, {\"cell\": \"36.86/44.93\", \"bbox\": [400, 68, 443, 77]}, {\"cell\": \"2.70/3.28\", \"bbox\": [460, 68, 495, 77]}, {\"cell\": \"2.49/75.68\", \"bbox\": [514, 68, 554, 77]}, {\"cell\": \"0.44/0.52\", \"bbox\": [573, 68, 608, 77]}, {\"cell\": \"<i>pNN20</i> (%)\", \"bbox\": [31, 78, 72, 88]}, {\"cell\": \"38.81\", \"bbox\": [114, 78, 135, 87]}, {\"cell\": \"62.40\", \"bbox\": [162, 78, 182, 87]}, {\"cell\": \"65.99\", \"bbox\": [209, 78, 229, 87]}, {\"cell\": \"14.21\", \"bbox\": [256, 78, 276, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 78, 323, 87]}, {\"cell\": \"6.53/7.09\", \"bbox\": [347, 78, 383, 87]}, {\"cell\": \"9.67/10.48\", \"bbox\": [402, 78, 441, 87]}, {\"cell\": \"2.18/3.18\", \"bbox\": [460, 78, 495, 87]}, {\"cell\": \"3.20/3.71\", \"bbox\": [516, 78, 552, 87]}, {\"cell\": \"3.42/3.73\", \"bbox\": [573, 78, 608, 87]}, {\"cell\": \"<i>pNN50</i> (%)\", \"bbox\": [31, 88, 72, 98]}, {\"cell\": \"3.30\", \"bbox\": [117, 88, 133, 97]}, {\"cell\": \"29.24\", \"bbox\": [162, 88, 182, 97]}, {\"cell\": \"24.15\", \"bbox\": [209, 88, 229, 97]}, {\"cell\": \"1.99\", \"bbox\": [258, 88, 274, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [303, 88, 323, 97]}, {\"cell\": \"2.09/54.78\", \"bbox\": [345, 88, 385, 97]}, {\"cell\": \"10.05/11.23\", \"bbox\": [400, 88, 443, 97]}, {\"cell\": \"0.34/0.74\", \"bbox\": [460, 88, 495, 97]}, {\"cell\": \"1.75/95.53\", \"bbox\": [514, 88, 554, 97]}, {\"cell\": \"1.20/1.27\", \"bbox\": [573, 88, 608, 97]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5712847_009_02.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}567{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Photograph</b></td><td colspan=\\\"3\\\"><b>Lines present</b></td><td colspan=\\\"6\\\"><b>Possible options given for the multiple choice questions</b></td><td rowspan=\\\"2\\\"><b>Comments</b></td></tr><tr><td><b>C</b></td><td><b>Pan</b></td><td><b><i>P.f.</i></b></td><td><b>1. Invalid</b></td><td><b>2. Negative</b></td><td><b>3. Positive<i>P.f.</i></b></td><td><b>4. Positive,<i>P.f.</i>mixed infection possible</b></td><td><b>5. Positive,<i>P.</i>non<i>- falciparum</i></b></td><td><b>6. Positive, but species not known</b></td></tr></thead><tbody><tr><td>A</td><td>+</td><td>[EMPTY_CELL]</td><td>F</td><td>6.9</td><td>29.1</td><td><b>54.8</b></td><td>3.0</td><td>1.7</td><td>4.5</td><td>Faint line (<i>P.f.</i>-HRP2) intensity read or interpreted as negative: 29.1%</td></tr><tr><td>B</td><td>+</td><td>[EMPTY_CELL]</td><td>-</td><td>5.2</td><td><b>90.0</b></td><td>2.6</td><td>0.4</td><td>0.7</td><td>1.0</td><td>Missing negative test: 10.0%</td></tr><tr><td>C</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td><b>91.6</b></td><td>6.1</td><td>0.9</td><td>0.6</td><td>0.3</td><td>0.4</td><td>Missing invalid test (no control line, no test line): 8.4%</td></tr><tr><td rowspan=\\\"2\\\">D</td><td rowspan=\\\"2\\\">+</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">S</td><td rowspan=\\\"2\\\">5.1</td><td rowspan=\\\"2\\\">1.5</td><td rowspan=\\\"2\\\">24.3</td><td rowspan=\\\"2\\\"><b>65.7</b></td><td rowspan=\\\"2\\\">1.3</td><td rowspan=\\\"2\\\">2.1</td><td>Faint line (pLDH) intensity read or interpreted as negative: 24.3%</td></tr><tr><td>Failure to distinguish presence of <i>P.f.</i>: 1.3% + 2.1% = 3.4%</td></tr><tr><td>E</td><td>+</td><td>[EMPTY_CELL]</td><td>-</td><td>6.5</td><td><b>87.6</b></td><td>2.1</td><td>1.8</td><td>1.0</td><td>1.0</td><td>Missing negative test: 12.4%</td></tr><tr><td rowspan=\\\"2\\\">F</td><td rowspan=\\\"2\\\">+</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">W</td><td rowspan=\\\"2\\\">3.9</td><td rowspan=\\\"2\\\">3.3</td><td rowspan=\\\"2\\\"><b>82.8</b></td><td rowspan=\\\"2\\\">3.0</td><td rowspan=\\\"2\\\">3.2</td><td rowspan=\\\"2\\\">3.8</td><td>Failure to distinguish presence of <i>P.f.</i>: 3.2% + 3.8% = 7.0%</td></tr><tr><td>Incorrect reading as negative: 3.3%</td></tr><tr><td rowspan=\\\"2\\\">G</td><td rowspan=\\\"2\\\">+</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">-</td><td rowspan=\\\"2\\\">6.4</td><td rowspan=\\\"2\\\">7.2</td><td rowspan=\\\"2\\\">6.1</td><td rowspan=\\\"2\\\">4.7</td><td rowspan=\\\"2\\\"><b>70.7</b></td><td rowspan=\\\"2\\\">4.9</td><td>Faint line (Pan-pLDH) intensity read as negative = 7.2%</td></tr><tr><td>Wrongly interpreted as <i>P.f.:</i> 6.1% + 4.7% = 10.8%</td></tr><tr><td rowspan=\\\"2\\\">H</td><td rowspan=\\\"2\\\">+</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">M</td><td rowspan=\\\"2\\\">3.5</td><td rowspan=\\\"2\\\">1.5</td><td rowspan=\\\"2\\\"><b>85.9</b></td><td rowspan=\\\"2\\\">4.4</td><td rowspan=\\\"2\\\">2.9</td><td rowspan=\\\"2\\\">1.8</td><td>Medium line (<i>P.f.-</i>HRP2) intensity read or interpreted as negative = 1.5%</td></tr><tr><td>Failure to distinguish presence of <i>P.f.</i>: 2.9% + 1.8% = 4.7%</td></tr><tr><td>I</td><td>+</td><td>[EMPTY_CELL]</td><td>S</td><td>2.0</td><td>0.6</td><td>4.1</td><td><b>89.9</b></td><td>1.1</td><td>2.3</td><td>Failure to distinguish presence of <i>P.f.</i>: 1.1% + 2.3% = 3.4%</td></tr><tr><td>J</td><td>-</td><td>[EMPTY_CELL]</td><td>S</td><td><b>76.4</b></td><td>6.6</td><td>7.4</td><td>1.0</td><td>1.0</td><td>7.6</td><td>Missing invalid test; No control line, presence of test line: 23.6%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Photograph</b>\", \"bbox\": [1, 4, 42, 13]}, {\"cell\": \"<b>Lines present</b>\", \"bbox\": [46, 4, 73, 22]}, {\"cell\": \"<b>Possible options given for the multiple choice questions</b>\", \"bbox\": [92, 4, 290, 13]}, {\"cell\": \"<b>Comments</b>\", \"bbox\": [371, 4, 410, 13]}, {\"cell\": \"<b>C</b>\", \"bbox\": [46, 26, 53, 35]}, {\"cell\": \"<b>Pan</b>\", \"bbox\": [57, 26, 72, 35]}, {\"cell\": \"<b><i>P.f.</i></b>\", \"bbox\": [76, 26, 88, 35]}, {\"cell\": \"<b>1. Invalid</b>\", \"bbox\": [92, 26, 125, 35]}, {\"cell\": \"<b>2. Negative</b>\", \"bbox\": [129, 26, 171, 35]}, {\"cell\": \"<b>3. Positive<i>P.f.</i></b>\", \"bbox\": [175, 26, 223, 35]}, {\"cell\": \"<b>4. Positive,<i>P.f.</i>mixed infection possible</b>\", \"bbox\": [227, 26, 264, 63]}, {\"cell\": \"<b>5. Positive,<i>P.</i>non<i>- falciparum</i></b>\", \"bbox\": [271, 26, 310, 53]}, {\"cell\": \"<b>6. Positive, but species not known</b>\", \"bbox\": [319, 26, 358, 53]}, {\"cell\": \"A\", \"bbox\": [1, 66, 7, 76]}, {\"cell\": \"+\", \"bbox\": [46, 66, 53, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 66, 61, 76]}, {\"cell\": \"F\", \"bbox\": [76, 66, 81, 76]}, {\"cell\": \"6.9\", \"bbox\": [92, 66, 103, 76]}, {\"cell\": \"29.1\", \"bbox\": [129, 66, 144, 76]}, {\"cell\": \"<b>54.8</b>\", \"bbox\": [175, 66, 191, 76]}, {\"cell\": \"3.0\", \"bbox\": [227, 66, 238, 76]}, {\"cell\": \"1.7\", \"bbox\": [271, 66, 282, 76]}, {\"cell\": \"4.5\", \"bbox\": [319, 66, 330, 76]}, {\"cell\": \"Faint line (<i>P.f.</i>-HRP2) intensity read or interpreted as negative: 29.1%\", \"bbox\": [371, 66, 482, 85]}, {\"cell\": \"B\", \"bbox\": [1, 89, 7, 99]}, {\"cell\": \"+\", \"bbox\": [46, 89, 53, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 89, 61, 99]}, {\"cell\": \"-\", \"bbox\": [76, 89, 80, 99]}, {\"cell\": \"5.2\", \"bbox\": [92, 89, 103, 99]}, {\"cell\": \"<b>90.0</b>\", \"bbox\": [129, 89, 146, 99]}, {\"cell\": \"2.6\", \"bbox\": [175, 89, 186, 99]}, {\"cell\": \"0.4\", \"bbox\": [227, 89, 238, 99]}, {\"cell\": \"0.7\", \"bbox\": [271, 89, 282, 99]}, {\"cell\": \"1.0\", \"bbox\": [319, 89, 330, 99]}, {\"cell\": \"Missing negative test: 10.0%\", \"bbox\": [371, 89, 463, 99]}, {\"cell\": \"C\", \"bbox\": [1, 103, 7, 113]}, {\"cell\": \"-\", \"bbox\": [46, 103, 50, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 103, 61, 113]}, {\"cell\": \"-\", \"bbox\": [76, 103, 80, 113]}, {\"cell\": \"<b>91.6</b>\", \"bbox\": [92, 103, 108, 113]}, {\"cell\": \"6.1\", \"bbox\": [129, 103, 140, 113]}, {\"cell\": \"0.9\", \"bbox\": [175, 103, 186, 113]}, {\"cell\": \"0.6\", \"bbox\": [227, 103, 238, 113]}, {\"cell\": \"0.3\", \"bbox\": [271, 103, 282, 113]}, {\"cell\": \"0.4\", \"bbox\": [319, 103, 330, 113]}, {\"cell\": \"Missing invalid test (no control line, no test line): 8.4%\", \"bbox\": [371, 103, 469, 122]}, {\"cell\": \"D\", \"bbox\": [1, 126, 8, 136]}, {\"cell\": \"+\", \"bbox\": [46, 126, 53, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 126, 62, 136]}, {\"cell\": \"S\", \"bbox\": [76, 126, 81, 136]}, {\"cell\": \"5.1\", \"bbox\": [92, 126, 103, 136]}, {\"cell\": \"1.5\", \"bbox\": [129, 126, 140, 136]}, {\"cell\": \"24.3\", \"bbox\": [175, 126, 189, 136]}, {\"cell\": \"<b>65.7</b>\", \"bbox\": [227, 126, 244, 136]}, {\"cell\": \"1.3\", \"bbox\": [271, 126, 282, 136]}, {\"cell\": \"2.1\", \"bbox\": [319, 126, 330, 136]}, {\"cell\": \"Faint line (pLDH) intensity read or interpreted as negative: 24.3%\", \"bbox\": [371, 126, 481, 145]}, {\"cell\": \"Failure to distinguish presence of <i>P.f.</i>: 1.3% + 2.1% = 3.4%\", \"bbox\": [371, 149, 479, 168]}, {\"cell\": \"E\", \"bbox\": [1, 172, 6, 182]}, {\"cell\": \"+\", \"bbox\": [46, 172, 53, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 172, 61, 182]}, {\"cell\": \"-\", \"bbox\": [76, 172, 80, 182]}, {\"cell\": \"6.5\", \"bbox\": [92, 172, 103, 182]}, {\"cell\": \"<b>87.6</b>\", \"bbox\": [129, 172, 146, 182]}, {\"cell\": \"2.1\", \"bbox\": [175, 172, 186, 182]}, {\"cell\": \"1.8\", \"bbox\": [227, 172, 238, 182]}, {\"cell\": \"1.0\", \"bbox\": [271, 172, 282, 182]}, {\"cell\": \"1.0\", \"bbox\": [319, 172, 330, 182]}, {\"cell\": \"Missing negative test: 12.4%\", \"bbox\": [371, 172, 463, 182]}, {\"cell\": \"F\", \"bbox\": [1, 186, 6, 196]}, {\"cell\": \"+\", \"bbox\": [46, 186, 53, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 186, 61, 196]}, {\"cell\": \"W\", \"bbox\": [76, 186, 84, 196]}, {\"cell\": \"3.9\", \"bbox\": [92, 186, 103, 196]}, {\"cell\": \"3.3\", \"bbox\": [129, 186, 140, 196]}, {\"cell\": \"<b>82.8</b>\", \"bbox\": [175, 186, 191, 196]}, {\"cell\": \"3.0\", \"bbox\": [227, 186, 238, 196]}, {\"cell\": \"3.2\", \"bbox\": [271, 186, 282, 196]}, {\"cell\": \"3.8\", \"bbox\": [319, 186, 330, 196]}, {\"cell\": \"Failure to distinguish presence of <i>P.f.</i>: 3.2% + 3.8% = 7.0%\", \"bbox\": [371, 186, 479, 205]}, {\"cell\": \"Incorrect reading as negative: 3.3%\", \"bbox\": [371, 209, 484, 219]}, {\"cell\": \"G\", \"bbox\": [1, 223, 7, 233]}, {\"cell\": \"+\", \"bbox\": [46, 223, 53, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 223, 62, 233]}, {\"cell\": \"-\", \"bbox\": [76, 223, 80, 233]}, {\"cell\": \"6.4\", \"bbox\": [92, 223, 103, 233]}, {\"cell\": \"7.2\", \"bbox\": [129, 223, 140, 233]}, {\"cell\": \"6.1\", \"bbox\": [175, 223, 186, 233]}, {\"cell\": \"4.7\", \"bbox\": [227, 223, 238, 233]}, {\"cell\": \"<b>70.7</b>\", \"bbox\": [271, 223, 287, 233]}, {\"cell\": \"4.9\", \"bbox\": [319, 223, 330, 233]}, {\"cell\": \"Faint line (Pan-pLDH) intensity read as negative = 7.2%\", \"bbox\": [371, 223, 470, 242]}, {\"cell\": \"Wrongly interpreted as <i>P.f.:</i> 6.1% + 4.7% = 10.8%\", \"bbox\": [371, 246, 482, 265]}, {\"cell\": \"H\", \"bbox\": [1, 269, 8, 279]}, {\"cell\": \"+\", \"bbox\": [46, 269, 53, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 269, 61, 279]}, {\"cell\": \"M\", \"bbox\": [76, 269, 84, 279]}, {\"cell\": \"3.5\", \"bbox\": [92, 269, 103, 279]}, {\"cell\": \"1.5\", \"bbox\": [129, 269, 140, 279]}, {\"cell\": \"<b>85.9</b>\", \"bbox\": [175, 269, 191, 279]}, {\"cell\": \"4.4\", \"bbox\": [227, 269, 238, 279]}, {\"cell\": \"2.9\", \"bbox\": [271, 269, 282, 279]}, {\"cell\": \"1.8\", \"bbox\": [319, 269, 330, 279]}, {\"cell\": \"Medium line (<i>P.f.-</i>HRP2) intensity read or interpreted as negative = 1.5%\", \"bbox\": [371, 269, 484, 288]}, {\"cell\": \"Failure to distinguish presence of <i>P.f.</i>: 2.9% + 1.8% = 4.7%\", \"bbox\": [371, 292, 479, 311]}, {\"cell\": \"I\", \"bbox\": [1, 315, 4, 325]}, {\"cell\": \"+\", \"bbox\": [46, 315, 53, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 315, 62, 325]}, {\"cell\": \"S\", \"bbox\": [76, 315, 81, 325]}, {\"cell\": \"2.0\", \"bbox\": [92, 315, 103, 325]}, {\"cell\": \"0.6\", \"bbox\": [129, 315, 140, 325]}, {\"cell\": \"4.1\", \"bbox\": [175, 315, 186, 325]}, {\"cell\": \"<b>89.9</b>\", \"bbox\": [227, 315, 244, 325]}, {\"cell\": \"1.1\", \"bbox\": [271, 315, 282, 325]}, {\"cell\": \"2.3\", \"bbox\": [319, 315, 330, 325]}, {\"cell\": \"Failure to distinguish presence of <i>P.f.</i>: 1.1% + 2.3% = 3.4%\", \"bbox\": [371, 315, 471, 334]}, {\"cell\": \"J\", \"bbox\": [1, 338, 5, 348]}, {\"cell\": \"-\", \"bbox\": [46, 338, 50, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 338, 61, 348]}, {\"cell\": \"S\", \"bbox\": [76, 338, 81, 348]}, {\"cell\": \"<b>76.4</b>\", \"bbox\": [92, 338, 108, 348]}, {\"cell\": \"6.6\", \"bbox\": [129, 338, 140, 348]}, {\"cell\": \"7.4\", \"bbox\": [175, 338, 186, 348]}, {\"cell\": \"1.0\", \"bbox\": [227, 338, 238, 348]}, {\"cell\": \"1.0\", \"bbox\": [271, 338, 282, 348]}, {\"cell\": \"7.6\", \"bbox\": [319, 338, 330, 348]}, {\"cell\": \"Missing invalid test; No control line, presence of test line: 23.6%\", \"bbox\": [371, 338, 475, 357]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4318196_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}568{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>BNG</b></td><td colspan=\\\"2\\\"><b>PG</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>T0</b></td><td><b>T1</b></td><td><b>T0</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Body mass (kg)</b></td><td>86.3 [82.2-94.3]</td><td>86.3[80.3-96.9]</td><td>91.7 [82.1-110.8]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Height (m)</b></td><td>1.55[1.52-1.66]</td><td>1.55[1.53-1.67]</td><td>1.64[1.56-1.69]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>BMI (kg/m</b><sup><b>2</b></sup><b>)</b></td><td>35.3[33.9-36.0]</td><td>35.3[33.3-36.2]</td><td>34.0[33.0-39.1]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Waist circumference (cm)</b></td><td>105.0[93.0-117.8]</td><td>112.0[99.5-116.0]</td><td>111.0[104.0-117.8]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Insulin (mcU/ml)</b></td><td>15.9[14.5-23.6]</td><td>15.5[12.2-22.2]</td><td>18.0[15.2-20.1]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Fasting glucose (mg/dl)</b></td><td>89.5[81.5-94.0]</td><td>86.0 [82.5-93.0]</td><td>87.0[82.0-90.5]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>HOMA</b></td><td>3.6[2.9-5.2]</td><td>3.5[2.6-6.5]</td><td>3.9[3.1-4.4]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>CRP (mg/dl)</b></td><td>0.31[0.15-0.63]</td><td>0.37[0.20-0.68]</td><td>0.38[0.14-0.78]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Cholesterol (mg/dl)</b></td><td>152.0[140.5-159.0]</td><td>136.0[129.5-141.5] *†</td><td>167.0[133.5-184.5]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>HDL-c (mg/dl)</b></td><td>44.0[41.5-48.5]</td><td>43.5[40.0-50.5]</td><td>45.0[36.0-48.0]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>LDL-c (mg/dl)</b></td><td>86.5[80.5-98.0]</td><td>72.5[71.0-83.0] *†</td><td>106.0[77.0-123.0]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>TG (mg/dl)</b></td><td>84.5[68.0-98.5]</td><td>69.0[58.5-83.5]†</td><td>113.5[87.0-132.5]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>BNG</b>\", \"bbox\": [205, 4, 222, 13]}, {\"cell\": \"<b>PG</b>\", \"bbox\": [391, 4, 403, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>T0</b>\", \"bbox\": [121, 17, 132, 27]}, {\"cell\": \"<b>T1</b>\", \"bbox\": [211, 17, 221, 27]}, {\"cell\": \"<b>T0</b>\", \"bbox\": [310, 17, 320, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 17, 409, 27]}, {\"cell\": \"<b>Body mass (kg)</b>\", \"bbox\": [1, 30, 56, 40]}, {\"cell\": \"86.3 [82.2-94.3]\", \"bbox\": [121, 31, 171, 39]}, {\"cell\": \"86.3[80.3-96.9]\", \"bbox\": [211, 31, 258, 39]}, {\"cell\": \"91.7 [82.1-110.8]\", \"bbox\": [310, 31, 363, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 31, 450, 39]}, {\"cell\": \"<b>Height (m)</b>\", \"bbox\": [1, 42, 40, 52]}, {\"cell\": \"1.55[1.52-1.66]\", \"bbox\": [121, 43, 168, 51]}, {\"cell\": \"1.55[1.53-1.67]\", \"bbox\": [211, 43, 257, 51]}, {\"cell\": \"1.64[1.56-1.69]\", \"bbox\": [310, 43, 356, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 43, 446, 51]}, {\"cell\": \"<b>BMI (kg/m</b><sup><b>2</b></sup><b>)</b>\", \"bbox\": [1, 53, 44, 64]}, {\"cell\": \"35.3[33.9-36.0]\", \"bbox\": [121, 55, 168, 63]}, {\"cell\": \"35.3[33.3-36.2]\", \"bbox\": [211, 55, 258, 63]}, {\"cell\": \"34.0[33.0-39.1]\", \"bbox\": [310, 55, 356, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 55, 446, 63]}, {\"cell\": \"<b>Waist circumference (cm)</b>\", \"bbox\": [1, 66, 90, 76]}, {\"cell\": \"105.0[93.0-117.8]\", \"bbox\": [121, 67, 176, 75]}, {\"cell\": \"112.0[99.5-116.0]\", \"bbox\": [211, 67, 265, 75]}, {\"cell\": \"111.0[104.0-117.8]\", \"bbox\": [310, 67, 368, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 67, 457, 75]}, {\"cell\": \"<b>Insulin (mcU/ml)</b>\", \"bbox\": [1, 78, 59, 88]}, {\"cell\": \"15.9[14.5-23.6]\", \"bbox\": [121, 78, 168, 87]}, {\"cell\": \"15.5[12.2-22.2]\", \"bbox\": [211, 78, 258, 87]}, {\"cell\": \"18.0[15.2-20.1]\", \"bbox\": [310, 78, 356, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 78, 446, 87]}, {\"cell\": \"<b>Fasting glucose (mg/dl)</b>\", \"bbox\": [1, 90, 84, 100]}, {\"cell\": \"89.5[81.5-94.0]\", \"bbox\": [121, 90, 168, 99]}, {\"cell\": \"86.0 [82.5-93.0]\", \"bbox\": [211, 90, 260, 99]}, {\"cell\": \"87.0[82.0-90.5]\", \"bbox\": [310, 90, 356, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 90, 446, 99]}, {\"cell\": \"<b>HOMA</b>\", \"bbox\": [1, 102, 25, 112]}, {\"cell\": \"3.6[2.9-5.2]\", \"bbox\": [121, 102, 157, 111]}, {\"cell\": \"3.5[2.6-6.5]\", \"bbox\": [211, 102, 246, 111]}, {\"cell\": \"3.9[3.1-4.4]\", \"bbox\": [310, 102, 345, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 102, 434, 111]}, {\"cell\": \"<b>CRP (mg/dl)</b>\", \"bbox\": [1, 114, 44, 124]}, {\"cell\": \"0.31[0.15-0.63]\", \"bbox\": [121, 114, 168, 123]}, {\"cell\": \"0.37[0.20-0.68]\", \"bbox\": [211, 114, 257, 123]}, {\"cell\": \"0.38[0.14-0.78]\", \"bbox\": [310, 114, 356, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 114, 446, 123]}, {\"cell\": \"<b>Cholesterol (mg/dl)</b>\", \"bbox\": [1, 126, 69, 136]}, {\"cell\": \"152.0[140.5-159.0]\", \"bbox\": [121, 126, 180, 135]}, {\"cell\": \"136.0[129.5-141.5] *†\", \"bbox\": [211, 126, 278, 135]}, {\"cell\": \"167.0[133.5-184.5]\", \"bbox\": [310, 126, 368, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 126, 457, 135]}, {\"cell\": \"<b>HDL-c (mg/dl)</b>\", \"bbox\": [1, 138, 51, 148]}, {\"cell\": \"44.0[41.5-48.5]\", \"bbox\": [121, 138, 168, 147]}, {\"cell\": \"43.5[40.0-50.5]\", \"bbox\": [211, 138, 257, 147]}, {\"cell\": \"45.0[36.0-48.0]\", \"bbox\": [310, 138, 356, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 138, 446, 147]}, {\"cell\": \"<b>LDL-c (mg/dl)</b>\", \"bbox\": [1, 150, 50, 159]}, {\"cell\": \"86.5[80.5-98.0]\", \"bbox\": [121, 150, 168, 159]}, {\"cell\": \"72.5[71.0-83.0] *†\", \"bbox\": [211, 150, 267, 159]}, {\"cell\": \"106.0[77.0-123.0]\", \"bbox\": [310, 150, 364, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 150, 453, 159]}, {\"cell\": \"<b>TG (mg/dl)</b>\", \"bbox\": [1, 162, 40, 171]}, {\"cell\": \"84.5[68.0-98.5]\", \"bbox\": [121, 162, 168, 171]}, {\"cell\": \"69.0[58.5-83.5]†\", \"bbox\": [211, 162, 261, 171]}, {\"cell\": \"113.5[87.0-132.5]\", \"bbox\": [310, 162, 364, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 162, 453, 171]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3123174_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}569{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Hi-Act/Low-Sed </b></td><td colspan=\\\"2\\\"><b>Lo-Act/Med-Sed (n = 436)</b></td><td colspan=\\\"2\\\"><b>Hi-Act/Hi-Sed </b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Variable</b></td><td><b>Mean</b></td><td><b>SD</b></td><td><b>Mean</b></td><td><b>SD</b></td><td><b>Mean </b></td><td><b>SD</b></td><td><b>F</b></td><td><b>P</b></td><td><b>Scheffe</b></td></tr></thead><tbody><tr><td>Weekday CPM - Early morning</td><td>633.93</td><td>405.51</td><td>624.94</td><td>356.48</td><td>656.45</td><td>320.08</td><td>0.33</td><td>0.716</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday CPM - Core hours</td><td>493.91</td><td>163.70</td><td>482.24</td><td>162.10</td><td>556.59</td><td>209.97</td><td>8.81</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday CPM - Afternoon</td><td>723.06</td><td>374.11</td><td>655.67</td><td>323.04</td><td>726.05</td><td>365.20</td><td>3.46</td><td><b>0.032</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday CPM - Evening</td><td>517.40</td><td>334.14</td><td>455.83</td><td>302.94</td><td>532.10</td><td>373.31</td><td>3.87</td><td><b>0.021</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday Sed Mins - Early morning</td><td>57.09</td><td>28.73</td><td>55.82</td><td>25.15</td><td>53.87</td><td>27.51</td><td>0.62</td><td>0.539</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday Sed Mins - Core hours</td><td>275.53</td><td>59.17</td><td>282.45</td><td>46.36</td><td>277.85</td><td>33.94</td><td>1.52</td><td>0.220</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday Sed Mins - Afternoon</td><td>118.22</td><td>35.77</td><td>125.73</td><td>26.87</td><td>121.75</td><td>28.22</td><td>4.62</td><td><b>0.010</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday Sed Mins - Evening</td><td>100.91</td><td>40.75</td><td>108.95</td><td>34.04</td><td>105.90</td><td>34.06</td><td>3.69</td><td><b>0.026</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday MVPA Mins - Early morning</td><td>4.27</td><td>3.83</td><td>4.25</td><td>3.63</td><td>4.58</td><td>4.11</td><td>0.37</td><td>0.692</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday MVPA Mins - Core hours</td><td>16.74</td><td>9.06</td><td>16.15</td><td>8.66</td><td>20.31</td><td>11.52</td><td>9.20</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday MVPA Mins - Afternoon</td><td>11.08</td><td>7.90</td><td>10.21</td><td>6.84</td><td>12.29</td><td>8.91</td><td>3.54</td><td><b>0.030</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekday MVPA Mins - Evening</td><td>5.42</td><td>5.27</td><td>4.83</td><td>4.64</td><td>6.09</td><td>5.23</td><td>3.12</td><td><b>0.045</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend CPM - Early morning</td><td>573.55</td><td>710.90</td><td>462.18</td><td>568.99</td><td>401.28</td><td>304.41</td><td>2.07</td><td>0.127</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend CPM - Core hours</td><td>641.29</td><td>377.41</td><td>543.22</td><td>340.71</td><td>559.44</td><td>307.62</td><td>5.49</td><td><b>0.004</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend CPM - Afternoon</td><td>681.19</td><td>498.67</td><td>608.68</td><td>465.76</td><td>560.67</td><td>369.21</td><td>2.81</td><td>0.061</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend CPM - Evening</td><td>474.10</td><td>513.14</td><td>392.26</td><td>301.46</td><td>361.85</td><td>253.66</td><td>4.12</td><td><b>0.017</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend Sed Mins - Early morning</td><td>22.78</td><td>33.56</td><td>20.82</td><td>29.79</td><td>22.27</td><td>36.56</td><td>0.26</td><td>0.769</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend Sed Mins - Core hours</td><td>225.40</td><td>68.93</td><td>241.38</td><td>61.81</td><td>228.98</td><td>56.44</td><td>4.46</td><td><b>0.012</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend Sed Mins - Afternoon</td><td>122.25</td><td>40.51</td><td>132.52</td><td>30.30</td><td>132.63</td><td>31.48</td><td>6.62</td><td><b>0.001</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend Sed Mins - Evening</td><td>113.67</td><td>44.50</td><td>119.31</td><td>39.96</td><td>121.00</td><td>44.27</td><td>1.59</td><td>0.205</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend MVPA Mins - Early morning</td><td>1.25</td><td>4.64</td><td>0.72</td><td>1.99</td><td>0.76</td><td>1.89</td><td>1.91</td><td>0.149</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend MVPA Mins - Core hours</td><td>18.38</td><td>16.60</td><td>15.01</td><td>14.32</td><td>15.05</td><td>13.92</td><td>3.69</td><td><b>0.026</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend MVPA Mins - Afternoon</td><td>9.76</td><td>9.15</td><td>8.62</td><td>8.21</td><td>8.44</td><td>8.07</td><td>1.45</td><td>0.235</td><td>[EMPTY_CELL]</td></tr><tr><td>Weekend MVPA Mins - Evening</td><td>4.65</td><td>5.25</td><td>4.32</td><td>5.25</td><td>4.32</td><td>6.08</td><td>0.29</td><td>0.745</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Hi-Act/Low-Sed </b>\", \"bbox\": [135, 4, 190, 13]}, {\"cell\": \"<b>Lo-Act/Med-Sed (n = 436)</b>\", \"bbox\": [209, 4, 300, 13]}, {\"cell\": \"<b>Hi-Act/Hi-Sed </b>\", \"bbox\": [319, 4, 367, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Variable</b>\", \"bbox\": [0, 16, 31, 25]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [135, 16, 156, 25]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [172, 16, 183, 25]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [209, 16, 230, 25]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [264, 16, 276, 25]}, {\"cell\": \"<b>Mean </b>\", \"bbox\": [319, 16, 340, 25]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [353, 16, 365, 25]}, {\"cell\": \"<b>F</b>\", \"bbox\": [387, 16, 393, 25]}, {\"cell\": \"<b>P</b>\", \"bbox\": [413, 16, 419, 25]}, {\"cell\": \"<b>Scheffe</b>\", \"bbox\": [450, 16, 477, 25]}, {\"cell\": \"Weekday CPM - Early morning\", \"bbox\": [0, 29, 101, 39]}, {\"cell\": \"633.93\", \"bbox\": [135, 29, 157, 39]}, {\"cell\": \"405.51\", \"bbox\": [172, 29, 194, 39]}, {\"cell\": \"624.94\", \"bbox\": [209, 29, 231, 39]}, {\"cell\": \"356.48\", \"bbox\": [264, 29, 286, 39]}, {\"cell\": \"656.45\", \"bbox\": [319, 29, 342, 39]}, {\"cell\": \"320.08\", \"bbox\": [353, 29, 375, 39]}, {\"cell\": \"0.33\", \"bbox\": [387, 29, 402, 39]}, {\"cell\": \"0.716\", \"bbox\": [413, 29, 432, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday CPM - Core hours\", \"bbox\": [0, 42, 91, 52]}, {\"cell\": \"493.91\", \"bbox\": [135, 42, 157, 52]}, {\"cell\": \"163.70\", \"bbox\": [172, 42, 194, 52]}, {\"cell\": \"482.24\", \"bbox\": [209, 42, 231, 52]}, {\"cell\": \"162.10\", \"bbox\": [264, 42, 286, 52]}, {\"cell\": \"556.59\", \"bbox\": [319, 42, 342, 52]}, {\"cell\": \"209.97\", \"bbox\": [353, 42, 375, 52]}, {\"cell\": \"8.81\", \"bbox\": [387, 42, 402, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 42, 438, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 42, 465, 51]}, {\"cell\": \"Weekday CPM - Afternoon\", \"bbox\": [0, 56, 88, 65]}, {\"cell\": \"723.06\", \"bbox\": [135, 56, 157, 65]}, {\"cell\": \"374.11\", \"bbox\": [172, 56, 194, 65]}, {\"cell\": \"655.67\", \"bbox\": [209, 56, 231, 65]}, {\"cell\": \"323.04\", \"bbox\": [264, 56, 286, 65]}, {\"cell\": \"726.05\", \"bbox\": [319, 56, 342, 65]}, {\"cell\": \"365.20\", \"bbox\": [353, 56, 375, 65]}, {\"cell\": \"3.46\", \"bbox\": [387, 56, 402, 65]}, {\"cell\": \"<b>0.032</b>\", \"bbox\": [413, 56, 434, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday CPM - Evening\", \"bbox\": [0, 69, 82, 78]}, {\"cell\": \"517.40\", \"bbox\": [135, 69, 157, 78]}, {\"cell\": \"334.14\", \"bbox\": [172, 69, 194, 78]}, {\"cell\": \"455.83\", \"bbox\": [209, 69, 231, 78]}, {\"cell\": \"302.94\", \"bbox\": [264, 69, 286, 78]}, {\"cell\": \"532.10\", \"bbox\": [319, 69, 342, 78]}, {\"cell\": \"373.31\", \"bbox\": [353, 69, 375, 78]}, {\"cell\": \"3.87\", \"bbox\": [387, 69, 402, 78]}, {\"cell\": \"<b>0.021</b>\", \"bbox\": [413, 69, 434, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday Sed Mins - Early morning\", \"bbox\": [0, 82, 116, 91]}, {\"cell\": \"57.09\", \"bbox\": [135, 82, 153, 91]}, {\"cell\": \"28.73\", \"bbox\": [172, 82, 190, 91]}, {\"cell\": \"55.82\", \"bbox\": [209, 82, 227, 91]}, {\"cell\": \"25.15\", \"bbox\": [264, 82, 283, 91]}, {\"cell\": \"53.87\", \"bbox\": [319, 82, 338, 91]}, {\"cell\": \"27.51\", \"bbox\": [353, 82, 372, 91]}, {\"cell\": \"0.62\", \"bbox\": [387, 82, 402, 91]}, {\"cell\": \"0.539\", \"bbox\": [413, 82, 432, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday Sed Mins - Core hours\", \"bbox\": [0, 95, 106, 105]}, {\"cell\": \"275.53\", \"bbox\": [135, 95, 157, 105]}, {\"cell\": \"59.17\", \"bbox\": [172, 95, 190, 105]}, {\"cell\": \"282.45\", \"bbox\": [209, 95, 231, 105]}, {\"cell\": \"46.36\", \"bbox\": [264, 95, 283, 105]}, {\"cell\": \"277.85\", \"bbox\": [319, 95, 342, 105]}, {\"cell\": \"33.94\", \"bbox\": [353, 95, 372, 105]}, {\"cell\": \"1.52\", \"bbox\": [387, 95, 402, 105]}, {\"cell\": \"0.220\", \"bbox\": [413, 95, 432, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday Sed Mins - Afternoon\", \"bbox\": [0, 108, 103, 118]}, {\"cell\": \"118.22\", \"bbox\": [135, 108, 157, 118]}, {\"cell\": \"35.77\", \"bbox\": [172, 108, 190, 118]}, {\"cell\": \"125.73\", \"bbox\": [209, 108, 231, 118]}, {\"cell\": \"26.87\", \"bbox\": [264, 108, 283, 118]}, {\"cell\": \"121.75\", \"bbox\": [319, 108, 342, 118]}, {\"cell\": \"28.22\", \"bbox\": [353, 108, 372, 118]}, {\"cell\": \"4.62\", \"bbox\": [387, 108, 402, 118]}, {\"cell\": \"<b>0.010</b>\", \"bbox\": [413, 108, 434, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 108, 457, 117]}, {\"cell\": \"Weekday Sed Mins - Evening\", \"bbox\": [0, 122, 96, 131]}, {\"cell\": \"100.91\", \"bbox\": [135, 122, 157, 131]}, {\"cell\": \"40.75\", \"bbox\": [172, 122, 190, 131]}, {\"cell\": \"108.95\", \"bbox\": [209, 122, 231, 131]}, {\"cell\": \"34.04\", \"bbox\": [264, 122, 283, 131]}, {\"cell\": \"105.90\", \"bbox\": [319, 122, 342, 131]}, {\"cell\": \"34.06\", \"bbox\": [353, 122, 372, 131]}, {\"cell\": \"3.69\", \"bbox\": [387, 122, 402, 131]}, {\"cell\": \"<b>0.026</b>\", \"bbox\": [413, 122, 434, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 122, 457, 130]}, {\"cell\": \"Weekday MVPA Mins - Early morning\", \"bbox\": [0, 135, 123, 144]}, {\"cell\": \"4.27\", \"bbox\": [135, 135, 150, 144]}, {\"cell\": \"3.83\", \"bbox\": [172, 135, 187, 144]}, {\"cell\": \"4.25\", \"bbox\": [209, 135, 224, 144]}, {\"cell\": \"3.63\", \"bbox\": [264, 135, 279, 144]}, {\"cell\": \"4.58\", \"bbox\": [319, 135, 334, 144]}, {\"cell\": \"4.11\", \"bbox\": [353, 135, 368, 144]}, {\"cell\": \"0.37\", \"bbox\": [387, 135, 402, 144]}, {\"cell\": \"0.692\", \"bbox\": [413, 135, 432, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekday MVPA Mins - Core hours\", \"bbox\": [0, 148, 113, 157]}, {\"cell\": \"16.74\", \"bbox\": [135, 148, 153, 157]}, {\"cell\": \"9.06\", \"bbox\": [172, 148, 187, 157]}, {\"cell\": \"16.15\", \"bbox\": [209, 148, 227, 157]}, {\"cell\": \"8.66\", \"bbox\": [264, 148, 279, 157]}, {\"cell\": \"20.31\", \"bbox\": [319, 148, 338, 157]}, {\"cell\": \"11.52\", \"bbox\": [353, 148, 372, 157]}, {\"cell\": \"9.20\", \"bbox\": [387, 148, 402, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 148, 438, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 148, 465, 157]}, {\"cell\": \"Weekday MVPA Mins - Afternoon\", \"bbox\": [0, 161, 110, 171]}, {\"cell\": \"11.08\", \"bbox\": [135, 161, 153, 171]}, {\"cell\": \"7.90\", \"bbox\": [172, 161, 187, 171]}, {\"cell\": \"10.21\", \"bbox\": [209, 161, 227, 171]}, {\"cell\": \"6.84\", \"bbox\": [264, 161, 279, 171]}, {\"cell\": \"12.29\", \"bbox\": [319, 161, 338, 171]}, {\"cell\": \"8.91\", \"bbox\": [353, 161, 368, 171]}, {\"cell\": \"3.54\", \"bbox\": [387, 161, 402, 171]}, {\"cell\": \"<b>0.030</b>\", \"bbox\": [413, 161, 434, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 161, 456, 170]}, {\"cell\": \"Weekday MVPA Mins - Evening\", \"bbox\": [0, 174, 103, 184]}, {\"cell\": \"5.42\", \"bbox\": [135, 174, 150, 184]}, {\"cell\": \"5.27\", \"bbox\": [172, 174, 187, 184]}, {\"cell\": \"4.83\", \"bbox\": [209, 174, 224, 184]}, {\"cell\": \"4.64\", \"bbox\": [264, 174, 279, 184]}, {\"cell\": \"6.09\", \"bbox\": [319, 174, 334, 184]}, {\"cell\": \"5.23\", \"bbox\": [353, 174, 368, 184]}, {\"cell\": \"3.12\", \"bbox\": [387, 174, 402, 184]}, {\"cell\": \"<b>0.045</b>\", \"bbox\": [413, 174, 434, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend CPM - Early morning\", \"bbox\": [0, 201, 102, 210]}, {\"cell\": \"573.55\", \"bbox\": [135, 201, 157, 210]}, {\"cell\": \"710.90\", \"bbox\": [172, 201, 194, 210]}, {\"cell\": \"462.18\", \"bbox\": [209, 201, 231, 210]}, {\"cell\": \"568.99\", \"bbox\": [264, 201, 286, 210]}, {\"cell\": \"401.28\", \"bbox\": [319, 201, 342, 210]}, {\"cell\": \"304.41\", \"bbox\": [353, 201, 375, 210]}, {\"cell\": \"2.07\", \"bbox\": [387, 201, 402, 210]}, {\"cell\": \"0.127\", \"bbox\": [413, 201, 432, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend CPM - Core hours\", \"bbox\": [0, 214, 92, 223]}, {\"cell\": \"641.29\", \"bbox\": [135, 214, 157, 223]}, {\"cell\": \"377.41\", \"bbox\": [172, 214, 194, 223]}, {\"cell\": \"543.22\", \"bbox\": [209, 214, 231, 223]}, {\"cell\": \"340.71\", \"bbox\": [264, 214, 286, 223]}, {\"cell\": \"559.44\", \"bbox\": [319, 214, 342, 223]}, {\"cell\": \"307.62\", \"bbox\": [353, 214, 375, 223]}, {\"cell\": \"5.49\", \"bbox\": [387, 214, 402, 223]}, {\"cell\": \"<b>0.004</b>\", \"bbox\": [413, 214, 434, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 214, 457, 223]}, {\"cell\": \"Weekend CPM - Afternoon\", \"bbox\": [0, 227, 89, 237]}, {\"cell\": \"681.19\", \"bbox\": [135, 227, 157, 237]}, {\"cell\": \"498.67\", \"bbox\": [172, 227, 194, 237]}, {\"cell\": \"608.68\", \"bbox\": [209, 227, 231, 237]}, {\"cell\": \"465.76\", \"bbox\": [264, 227, 286, 237]}, {\"cell\": \"560.67\", \"bbox\": [319, 227, 342, 237]}, {\"cell\": \"369.21\", \"bbox\": [353, 227, 375, 237]}, {\"cell\": \"2.81\", \"bbox\": [387, 227, 402, 237]}, {\"cell\": \"0.061\", \"bbox\": [413, 227, 432, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend CPM - Evening\", \"bbox\": [0, 240, 83, 250]}, {\"cell\": \"474.10\", \"bbox\": [135, 240, 157, 250]}, {\"cell\": \"513.14\", \"bbox\": [172, 240, 194, 250]}, {\"cell\": \"392.26\", \"bbox\": [209, 240, 231, 250]}, {\"cell\": \"301.46\", \"bbox\": [264, 240, 286, 250]}, {\"cell\": \"361.85\", \"bbox\": [319, 240, 342, 250]}, {\"cell\": \"253.66\", \"bbox\": [353, 240, 375, 250]}, {\"cell\": \"4.12\", \"bbox\": [387, 240, 402, 250]}, {\"cell\": \"<b>0.017</b>\", \"bbox\": [413, 240, 434, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend Sed Mins - Early morning\", \"bbox\": [0, 254, 117, 263]}, {\"cell\": \"22.78\", \"bbox\": [135, 254, 153, 263]}, {\"cell\": \"33.56\", \"bbox\": [172, 254, 190, 263]}, {\"cell\": \"20.82\", \"bbox\": [209, 254, 227, 263]}, {\"cell\": \"29.79\", \"bbox\": [264, 254, 283, 263]}, {\"cell\": \"22.27\", \"bbox\": [319, 254, 338, 263]}, {\"cell\": \"36.56\", \"bbox\": [353, 254, 372, 263]}, {\"cell\": \"0.26\", \"bbox\": [387, 254, 402, 263]}, {\"cell\": \"0.769\", \"bbox\": [413, 254, 432, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend Sed Mins - Core hours\", \"bbox\": [0, 267, 107, 276]}, {\"cell\": \"225.40\", \"bbox\": [135, 267, 157, 276]}, {\"cell\": \"68.93\", \"bbox\": [172, 267, 190, 276]}, {\"cell\": \"241.38\", \"bbox\": [209, 267, 231, 276]}, {\"cell\": \"61.81\", \"bbox\": [264, 267, 283, 276]}, {\"cell\": \"228.98\", \"bbox\": [319, 267, 342, 276]}, {\"cell\": \"56.44\", \"bbox\": [353, 267, 372, 276]}, {\"cell\": \"4.46\", \"bbox\": [387, 267, 402, 276]}, {\"cell\": \"<b>0.012</b>\", \"bbox\": [413, 267, 434, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 267, 457, 275]}, {\"cell\": \"Weekend Sed Mins - Afternoon\", \"bbox\": [0, 280, 104, 289]}, {\"cell\": \"122.25\", \"bbox\": [135, 280, 157, 289]}, {\"cell\": \"40.51\", \"bbox\": [172, 280, 190, 289]}, {\"cell\": \"132.52\", \"bbox\": [209, 280, 231, 289]}, {\"cell\": \"30.30\", \"bbox\": [264, 280, 283, 289]}, {\"cell\": \"132.63\", \"bbox\": [319, 280, 342, 289]}, {\"cell\": \"31.48\", \"bbox\": [353, 280, 372, 289]}, {\"cell\": \"6.62\", \"bbox\": [387, 280, 402, 289]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [413, 280, 434, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 280, 466, 289]}, {\"cell\": \"Weekend Sed Mins - Evening\", \"bbox\": [0, 293, 97, 303]}, {\"cell\": \"113.67\", \"bbox\": [135, 293, 157, 303]}, {\"cell\": \"44.50\", \"bbox\": [172, 293, 190, 303]}, {\"cell\": \"119.31\", \"bbox\": [209, 293, 231, 303]}, {\"cell\": \"39.96\", \"bbox\": [264, 293, 283, 303]}, {\"cell\": \"121.00\", \"bbox\": [319, 293, 342, 303]}, {\"cell\": \"44.27\", \"bbox\": [353, 293, 372, 303]}, {\"cell\": \"1.59\", \"bbox\": [387, 293, 402, 303]}, {\"cell\": \"0.205\", \"bbox\": [413, 293, 432, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend MVPA Mins - Early morning\", \"bbox\": [0, 306, 124, 316]}, {\"cell\": \"1.25\", \"bbox\": [135, 306, 150, 316]}, {\"cell\": \"4.64\", \"bbox\": [172, 306, 187, 316]}, {\"cell\": \"0.72\", \"bbox\": [209, 306, 224, 316]}, {\"cell\": \"1.99\", \"bbox\": [264, 306, 279, 316]}, {\"cell\": \"0.76\", \"bbox\": [319, 306, 334, 316]}, {\"cell\": \"1.89\", \"bbox\": [353, 306, 368, 316]}, {\"cell\": \"1.91\", \"bbox\": [387, 306, 402, 316]}, {\"cell\": \"0.149\", \"bbox\": [413, 306, 432, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend MVPA Mins - Core hours\", \"bbox\": [0, 320, 114, 329]}, {\"cell\": \"18.38\", \"bbox\": [135, 320, 153, 329]}, {\"cell\": \"16.60\", \"bbox\": [172, 320, 190, 329]}, {\"cell\": \"15.01\", \"bbox\": [209, 320, 227, 329]}, {\"cell\": \"14.32\", \"bbox\": [264, 320, 283, 329]}, {\"cell\": \"15.05\", \"bbox\": [319, 320, 338, 329]}, {\"cell\": \"13.92\", \"bbox\": [353, 320, 372, 329]}, {\"cell\": \"3.69\", \"bbox\": [387, 320, 402, 329]}, {\"cell\": \"<b>0.026</b>\", \"bbox\": [413, 320, 434, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [450, 320, 457, 328]}, {\"cell\": \"Weekend MVPA Mins - Afternoon\", \"bbox\": [0, 333, 111, 342]}, {\"cell\": \"9.76\", \"bbox\": [135, 333, 150, 342]}, {\"cell\": \"9.15\", \"bbox\": [172, 333, 187, 342]}, {\"cell\": \"8.62\", \"bbox\": [209, 333, 224, 342]}, {\"cell\": \"8.21\", \"bbox\": [264, 333, 279, 342]}, {\"cell\": \"8.44\", \"bbox\": [319, 333, 334, 342]}, {\"cell\": \"8.07\", \"bbox\": [353, 333, 368, 342]}, {\"cell\": \"1.45\", \"bbox\": [387, 333, 402, 342]}, {\"cell\": \"0.235\", \"bbox\": [413, 333, 432, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Weekend MVPA Mins - Evening\", \"bbox\": [0, 346, 104, 355]}, {\"cell\": \"4.65\", \"bbox\": [135, 346, 150, 355]}, {\"cell\": \"5.25\", \"bbox\": [172, 346, 187, 355]}, {\"cell\": \"4.32\", \"bbox\": [209, 346, 224, 355]}, {\"cell\": \"5.25\", \"bbox\": [264, 346, 279, 355]}, {\"cell\": \"4.32\", \"bbox\": [319, 346, 334, 355]}, {\"cell\": \"6.08\", \"bbox\": [353, 346, 368, 355]}, {\"cell\": \"0.29\", \"bbox\": [387, 346, 402, 355]}, {\"cell\": \"0.745\", \"bbox\": [413, 346, 432, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2918527_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}570{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Predictor</b></td><td colspan=\\\"2\\\"><b>Model without US-7</b></td><td colspan=\\\"2\\\"><b>Model with US-7</b></td></tr><tr><td><b>β (95% CI)</b></td><td><b><i>P</i> value</b></td><td><b>β (95% CI)</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Female</td><td>0.182 (-0.007; 0.370)</td><td>0.059</td><td>0.167 (-0.012; 0.347)</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (years)</td><td>0.172 (0.113; 0.231)</td><td>[EMPTY_CELL]</td><td>0.169 (0.113; 0.226)</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI</td><td>0.009 (-0.009; 0.026)</td><td>0.316</td><td>0.007 (-0.010; 0.024)</td><td>[EMPTY_CELL]</td></tr><tr><td>RF+ or ACPA+</td><td>0.060 (-0.103; 0.224)</td><td>0.471</td><td>0.052 (-0.106; 0.210)</td><td>[EMPTY_CELL]</td></tr><tr><td>Prevalent vs. incident RA</td><td>0.026 (-0.156; 0.209)</td><td>0.779</td><td>0.010 (-0.165; 0.186)</td><td>[EMPTY_CELL]</td></tr><tr><td>Previous DAS28-CRP</td><td>0.100 (0.061; 0.140)</td><td>[EMPTY_CELL]</td><td>0.161 (0.113; 0.208)</td><td>[EMPTY_CELL]</td></tr><tr><td>Previous GSsynSS</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>-0.004 (-0.019; 0.010)</td><td>0.563</td></tr><tr><td>Previous PDsynSS</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>-0.021 (-0.040; -0.002)</td><td><i>0.035</i></td></tr><tr><td>Previous GStenSS</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>0.000 (-0.085; 0.085)</td><td>0.997</td></tr><tr><td>Previous PDtenSS</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>-0.015 (-0.078; 0.048)</td><td>0.643</td></tr><tr><td>Previous erosions score</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>0.012 (-0.022; 0.046)</td><td>0.484</td></tr><tr><td><i>R</i><sup>2</sup> (% variability explained)</td><td colspan=\\\"2\\\">32.3</td><td colspan=\\\"2\\\">39.1</td></tr><tr><td>Improved <i>R</i><sup>2</sup></td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>6.8</td><td><i><0.001</i><b><i>*</i></b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Predictor</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>Model without US-7</b>\", \"bbox\": [140, 4, 207, 13]}, {\"cell\": \"<b>Model with US-7</b>\", \"bbox\": [336, 4, 392, 13]}, {\"cell\": \"<b>β (95% CI)</b>\", \"bbox\": [140, 17, 175, 27]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [258, 17, 283, 27]}, {\"cell\": \"<b>β (95% CI)</b>\", \"bbox\": [336, 17, 371, 27]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [458, 17, 483, 27]}, {\"cell\": \"Female\", \"bbox\": [1, 30, 26, 40]}, {\"cell\": \"0.182 (-0.007; 0.370)\", \"bbox\": [140, 30, 205, 40]}, {\"cell\": \"0.059\", \"bbox\": [258, 30, 277, 40]}, {\"cell\": \"0.167 (-0.012; 0.347)\", \"bbox\": [336, 30, 400, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 30, 477, 40]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 44, 38, 54]}, {\"cell\": \"0.172 (0.113; 0.231)\", \"bbox\": [140, 44, 202, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 45, 281, 52]}, {\"cell\": \"0.169 (0.113; 0.226)\", \"bbox\": [336, 44, 398, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 45, 481, 52]}, {\"cell\": \"BMI\", \"bbox\": [1, 58, 14, 68]}, {\"cell\": \"0.009 (-0.009; 0.026)\", \"bbox\": [140, 58, 205, 68]}, {\"cell\": \"0.316\", \"bbox\": [258, 58, 277, 68]}, {\"cell\": \"0.007 (-0.010; 0.024)\", \"bbox\": [336, 58, 400, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 58, 477, 68]}, {\"cell\": \"RF+ or ACPA+\", \"bbox\": [1, 72, 49, 82]}, {\"cell\": \"0.060 (-0.103; 0.224)\", \"bbox\": [140, 72, 205, 82]}, {\"cell\": \"0.471\", \"bbox\": [258, 72, 277, 82]}, {\"cell\": \"0.052 (-0.106; 0.210)\", \"bbox\": [336, 72, 400, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 72, 477, 82]}, {\"cell\": \"Prevalent vs. incident RA\", \"bbox\": [1, 86, 81, 96]}, {\"cell\": \"0.026 (-0.156; 0.209)\", \"bbox\": [140, 86, 205, 96]}, {\"cell\": \"0.779\", \"bbox\": [258, 86, 277, 96]}, {\"cell\": \"0.010 (-0.165; 0.186)\", \"bbox\": [336, 86, 400, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 86, 477, 96]}, {\"cell\": \"Previous DAS28-CRP\", \"bbox\": [1, 100, 67, 110]}, {\"cell\": \"0.100 (0.061; 0.140)\", \"bbox\": [140, 100, 202, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 101, 281, 108]}, {\"cell\": \"0.161 (0.113; 0.208)\", \"bbox\": [336, 100, 398, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 101, 481, 108]}, {\"cell\": \"Previous GSsynSS\", \"bbox\": [1, 114, 58, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-0.004 (-0.019; 0.010)\", \"bbox\": [336, 114, 403, 124]}, {\"cell\": \"0.563\", \"bbox\": [458, 114, 477, 124]}, {\"cell\": \"Previous PDsynSS\", \"bbox\": [1, 128, 59, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-0.021 (-0.040; -0.002)\", \"bbox\": [336, 128, 405, 138]}, {\"cell\": \"<i>0.035</i>\", \"bbox\": [458, 129, 476, 136]}, {\"cell\": \"Previous GStenSS\", \"bbox\": [1, 142, 58, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.000 (-0.085; 0.085)\", \"bbox\": [336, 142, 400, 152]}, {\"cell\": \"0.997\", \"bbox\": [458, 142, 477, 152]}, {\"cell\": \"Previous PDtenSS\", \"bbox\": [1, 156, 59, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-0.015 (-0.078; 0.048)\", \"bbox\": [336, 156, 403, 166]}, {\"cell\": \"0.643\", \"bbox\": [458, 156, 477, 166]}, {\"cell\": \"Previous erosions score\", \"bbox\": [1, 170, 77, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.012 (-0.022; 0.046)\", \"bbox\": [336, 170, 400, 180]}, {\"cell\": \"0.484\", \"bbox\": [458, 170, 477, 180]}, {\"cell\": \"<i>R</i><sup>2</sup> (% variability explained)\", \"bbox\": [1, 183, 87, 194]}, {\"cell\": \"32.3\", \"bbox\": [140, 184, 155, 194]}, {\"cell\": \"39.1\", \"bbox\": [336, 184, 351, 194]}, {\"cell\": \"Improved <i>R</i><sup>2</sup>\", \"bbox\": [1, 197, 42, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6.8\", \"bbox\": [336, 198, 347, 208]}, {\"cell\": \"<i><0.001</i><b><i>*</i></b>\", \"bbox\": [458, 198, 484, 206]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5237153_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}571{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Patient 1</b></td><td><b>Patient 2</b></td><td><b>Patient 3</b></td><td><b>Patient 4</b></td><td><b>Patient 5</b></td></tr></thead><tbody><tr><td><b>Number of NGS runs</b></td><td>1</td><td>1</td><td>[EMPTY_CELL]</td><td>2</td><td>2</td></tr><tr><td><b>454 experiment</b></td><td>Standard 1/3 run</td><td>Standard 1/3 run</td><td>[EMPTY_CELL]</td><td>Standard 1/5 Titanium 1/12</td><td>Standard 1/5 Titanium 1/12</td></tr><tr><td><b>Mapped reads</b></td><td>127980</td><td>96538</td><td>[EMPTY_CELL]</td><td>24940* (Std) 24192* (Tit)</td><td>16767* (Std) 40169* (Tit)</td></tr><tr><td><b>Total average coverage</b></td><td>221</td><td>168</td><td>[EMPTY_CELL]</td><td>73*</td><td>88*</td></tr><tr><td><b>% sequenced amplicons with coverage > 38</b></td><td>94.4</td><td>93.2</td><td>[EMPTY_CELL]</td><td>80.3</td><td>85.3</td></tr><tr><td><b>% sequenced amplicons with coverage > 30</b></td><td>95.3</td><td>94.6</td><td>[EMPTY_CELL]</td><td>86.8</td><td>91.5</td></tr><tr><td><b>% sequenced amplicons with coverage > 5</b></td><td>97.2</td><td>97.2</td><td>[EMPTY_CELL]</td><td>94.6</td><td>96.3</td></tr><tr><td><b>Mutations</b></td><td>New mutation found in <i>CDH23</i></td><td>New mutation found in <i>CDH23</i></td><td>[EMPTY_CELL]</td><td>New mutation found in <i>OTOF</i></td><td>Known mutation in <i>TMC1</i> confirmed</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Patient 1</b>\", \"bbox\": [94, 4, 128, 13]}, {\"cell\": \"<b>Patient 2</b>\", \"bbox\": [159, 4, 192, 13]}, {\"cell\": \"<b>Patient 3</b>\", \"bbox\": [223, 4, 256, 13]}, {\"cell\": \"<b>Patient 4</b>\", \"bbox\": [296, 4, 329, 13]}, {\"cell\": \"<b>Patient 5</b>\", \"bbox\": [394, 4, 427, 13]}, {\"cell\": \"<b>Number of NGS runs</b>\", \"bbox\": [1, 17, 75, 26]}, {\"cell\": \"1\", \"bbox\": [94, 17, 100, 27]}, {\"cell\": \"1\", \"bbox\": [159, 17, 165, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 17, 229, 27]}, {\"cell\": \"2\", \"bbox\": [296, 17, 302, 27]}, {\"cell\": \"2\", \"bbox\": [394, 17, 400, 27]}, {\"cell\": \"<b>454 experiment</b>\", \"bbox\": [1, 31, 57, 40]}, {\"cell\": \"Standard 1/3 run\", \"bbox\": [94, 31, 151, 41]}, {\"cell\": \"Standard 1/3 run\", \"bbox\": [159, 31, 215, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 31, 280, 41]}, {\"cell\": \"Standard 1/5 Titanium 1/12\", \"bbox\": [296, 31, 386, 41]}, {\"cell\": \"Standard 1/5 Titanium 1/12\", \"bbox\": [394, 31, 484, 41]}, {\"cell\": \"<b>Mapped reads</b>\", \"bbox\": [1, 45, 52, 54]}, {\"cell\": \"127980\", \"bbox\": [94, 45, 119, 55]}, {\"cell\": \"96538\", \"bbox\": [159, 45, 180, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 45, 248, 55]}, {\"cell\": \"24940* (Std) 24192* (Tit)\", \"bbox\": [296, 45, 376, 55]}, {\"cell\": \"16767* (Std) 40169* (Tit)\", \"bbox\": [394, 45, 474, 55]}, {\"cell\": \"<b>Total average coverage</b>\", \"bbox\": [1, 59, 84, 68]}, {\"cell\": \"221\", \"bbox\": [94, 59, 108, 69]}, {\"cell\": \"168\", \"bbox\": [159, 59, 172, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 59, 237, 69]}, {\"cell\": \"73*\", \"bbox\": [296, 59, 309, 69]}, {\"cell\": \"88*\", \"bbox\": [394, 59, 407, 69]}, {\"cell\": \"<b>% sequenced amplicons with coverage > 38</b>\", \"bbox\": [1, 73, 86, 91]}, {\"cell\": \"94.4\", \"bbox\": [94, 73, 109, 83]}, {\"cell\": \"93.2\", \"bbox\": [159, 73, 174, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 73, 238, 83]}, {\"cell\": \"80.3\", \"bbox\": [296, 73, 311, 83]}, {\"cell\": \"85.3\", \"bbox\": [394, 73, 409, 83]}, {\"cell\": \"<b>% sequenced amplicons with coverage > 30</b>\", \"bbox\": [1, 96, 86, 114]}, {\"cell\": \"95.3\", \"bbox\": [94, 96, 109, 106]}, {\"cell\": \"94.6\", \"bbox\": [159, 96, 174, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 96, 238, 106]}, {\"cell\": \"86.8\", \"bbox\": [296, 96, 311, 106]}, {\"cell\": \"91.5\", \"bbox\": [394, 96, 409, 106]}, {\"cell\": \"<b>% sequenced amplicons with coverage > 5</b>\", \"bbox\": [1, 119, 86, 137]}, {\"cell\": \"97.2\", \"bbox\": [94, 119, 109, 129]}, {\"cell\": \"97.2\", \"bbox\": [159, 119, 174, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 119, 238, 129]}, {\"cell\": \"94.6\", \"bbox\": [296, 119, 311, 129]}, {\"cell\": \"96.3\", \"bbox\": [394, 119, 409, 129]}, {\"cell\": \"<b>Mutations</b>\", \"bbox\": [1, 142, 37, 151]}, {\"cell\": \"New mutation found in <i>CDH23</i>\", \"bbox\": [94, 142, 148, 161]}, {\"cell\": \"New mutation found in <i>CDH23</i>\", \"bbox\": [159, 142, 212, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 142, 288, 161]}, {\"cell\": \"New mutation found in <i>OTOF</i>\", \"bbox\": [296, 142, 366, 161]}, {\"cell\": \"Known mutation in <i>TMC1</i> confirmed\", \"bbox\": [394, 142, 459, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3443074_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}572{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Reliability: indicator of the tool's consistency</b></td><td><b>Validity: determines whether the tool measures what it was designed to measure</b></td></tr></thead><tbody><tr><td> <b>Internal consistency</b>: measures the average correlation between all items on a tool<b>Intrarater reliability</b>: an indicator of the tests' stability overtime when it is administered by the same rater<b>Interrater reliability</b>: indicates the consistency of a tool when it is administered by different raters</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Reliability: indicator of the tool's consistency</b>\", \"bbox\": [4, 4, 162, 14]}, {\"cell\": \"<b>Validity: determines whether the tool measures what it was designed to measure</b>\", \"bbox\": [254, 4, 492, 23]}, {\"cell\": \" <b>Internal consistency</b>: measures the average correlation between all items on a tool<b>Intrarater reliability</b>: an indicator of the tests' stability overtime when it is administered by the same rater<b>Interrater reliability</b>: indicates the consistency of a tool when it is administered by different raters\", \"bbox\": [14, 36, 246, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [254, 36, 496, 147]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2795323_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}573{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Groups</b></td><td colspan=\\\"3\\\"><b>Urine Volume (mL/24 h/Rat): Days after Initial Treatment</b></td></tr><tr><td><b>28</b></td><td><b>49</b></td><td><b>83</b></td></tr></thead><tbody><tr><td>Controls</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Sham</td><td>2.33 ± 0.81</td><td>[EMPTY_CELL]</td><td>3.65 ± 1.00</td></tr><tr><td>OVX</td><td>2.36 ± 0.75</td><td>[EMPTY_CELL]</td><td>4.09 ± 0.77</td></tr><tr><td>RC 40 mg/kg</td><td>2.50 ± 0.90</td><td>[EMPTY_CELL]</td><td>5.59 ± 0.77</td></tr><tr><td>PCP 20 mg/kg</td><td>2.33 ± 0.71</td><td>[EMPTY_CELL]</td><td>5.49 ± 0.81</td></tr><tr><td colspan=\\\"2\\\">RC:PCP 2:1 mixture (g/g)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>30 mg/kg</td><td>2.58 ± 1.08</td><td>[EMPTY_CELL]</td><td>6.28 ± 1.41 <sup>ad</sup></td></tr><tr><td>60 mg/kg</td><td>3.90 ± 1.02 <sup>bdfh</sup></td><td>[EMPTY_CELL]</td><td>8.80 ± 1.69 <sup>aceg</sup></td></tr><tr><td>120 mg/kg</td><td>4.28 ± 0.93 <sup>aceg</sup></td><td>[EMPTY_CELL]</td><td>10.75 ± 1.88 <sup>aceg</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Groups</b>\", \"bbox\": [26, 11, 64, 26]}, {\"cell\": \"<b>Urine Volume (mL/24 h/Rat): Days after Initial Treatment</b>\", \"bbox\": [105, 3, 382, 18]}, {\"cell\": \"<b>28</b>\", \"bbox\": [133, 19, 146, 33]}, {\"cell\": \"<b>49</b>\", \"bbox\": [237, 19, 250, 33]}, {\"cell\": \"<b>83</b>\", \"bbox\": [341, 19, 354, 33]}, {\"cell\": \"Controls\", \"bbox\": [25, 35, 65, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sham\", \"bbox\": [32, 50, 59, 64]}, {\"cell\": \"2.33 ± 0.81\", \"bbox\": [113, 49, 166, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 49, 270, 65]}, {\"cell\": \"3.65 ± 1.00\", \"bbox\": [322, 50, 374, 64]}, {\"cell\": \"OVX\", \"bbox\": [32, 65, 58, 79]}, {\"cell\": \"2.36 ± 0.75\", \"bbox\": [114, 65, 166, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 65, 270, 79]}, {\"cell\": \"4.09 ± 0.77\", \"bbox\": [322, 65, 374, 79]}, {\"cell\": \"RC 40 mg/kg\", \"bbox\": [14, 80, 76, 94]}, {\"cell\": \"2.50 ± 0.90\", \"bbox\": [114, 80, 166, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 79, 274, 94]}, {\"cell\": \"5.59 ± 0.77\", \"bbox\": [322, 80, 374, 94]}, {\"cell\": \"PCP 20 mg/kg\", \"bbox\": [12, 95, 78, 109]}, {\"cell\": \"2.33 ± 0.71\", \"bbox\": [114, 95, 166, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 95, 270, 109]}, {\"cell\": \"5.49 ± 0.81\", \"bbox\": [322, 95, 374, 109]}, {\"cell\": \"RC:PCP 2:1 mixture (g/g)\", \"bbox\": [7, 111, 124, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30 mg/kg\", \"bbox\": [23, 126, 67, 140]}, {\"cell\": \"2.58 ± 1.08\", \"bbox\": [114, 126, 166, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 125, 274, 140]}, {\"cell\": \"6.28 ± 1.41 <sup>ad</sup>\", \"bbox\": [317, 125, 378, 140]}, {\"cell\": \"60 mg/kg\", \"bbox\": [23, 141, 67, 155]}, {\"cell\": \"3.90 ± 1.02 <sup>bdfh</sup>\", \"bbox\": [106, 140, 174, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 140, 276, 155]}, {\"cell\": \"8.80 ± 1.69 <sup>aceg</sup>\", \"bbox\": [314, 140, 381, 155]}, {\"cell\": \"120 mg/kg\", \"bbox\": [20, 156, 70, 170]}, {\"cell\": \"4.28 ± 0.93 <sup>aceg</sup>\", \"bbox\": [106, 155, 174, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 155, 278, 170]}, {\"cell\": \"10.75 ± 1.88 <sup>aceg</sup>\", \"bbox\": [311, 155, 384, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4425164_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}574{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Population</b></td><td><b>Disability</b></td><td><b>Intervention</b></td><td><b>Study type/outcome measures (economic evidence searches only)</b></td></tr></thead><tbody><tr><td>Child*</td><td>Disab*</td><td>[EMPTY_CELL]</td><td>Cost benefit</td></tr><tr><td>Adolescen*</td><td>Physically impair*</td><td>[EMPTY_CELL]</td><td>Cost utility</td></tr><tr><td>Young*</td><td>Physical impair*</td><td>[EMPTY_CELL]</td><td>Cost effective*</td></tr><tr><td>Teen*</td><td>Handicap*</td><td>[EMPTY_CELL]</td><td>Qaly</td></tr><tr><td>Disab* child*</td><td>Dystroph*</td><td>[EMPTY_CELL]</td><td>Quality-adjusted life year</td></tr><tr><td>Disab*</td><td>Cerebral palsy</td><td>[EMPTY_CELL]</td><td>Quality adjusted life year</td></tr><tr><td>Adolescen*</td><td>Spina bifida</td><td>[EMPTY_CELL]</td><td>Health economic*</td></tr><tr><td>Disab* young*</td><td>Wheelchair*</td><td>[EMPTY_CELL]</td><td>Economic analys*</td></tr><tr><td>Disab* teen*</td><td>Special needs</td><td>[EMPTY_CELL]</td><td>Cost minimisation</td></tr><tr><td>[EMPTY_CELL]</td><td>Amputee</td><td>[EMPTY_CELL]</td><td>Health care cost*</td></tr><tr><td>[EMPTY_CELL]</td><td>Complex needs</td><td>[EMPTY_CELL]</td><td>Healthcare cost*</td></tr><tr><td>[EMPTY_CELL]</td><td>Brain injury</td><td>[EMPTY_CELL]</td><td>Social economic*</td></tr><tr><td>[EMPTY_CELL]</td><td>Brain damage*</td><td>[EMPTY_CELL]</td><td>Social care economic*</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Population</b>\", \"bbox\": [1, 4, 40, 13]}, {\"cell\": \"<b>Disability</b>\", \"bbox\": [112, 4, 146, 13]}, {\"cell\": \"<b>Intervention</b>\", \"bbox\": [232, 4, 276, 13]}, {\"cell\": \"<b>Study type/outcome measures (economic evidence searches only)</b>\", \"bbox\": [362, 4, 484, 22]}, {\"cell\": \"Child*\", \"bbox\": [1, 26, 22, 36]}, {\"cell\": \"Disab*\", \"bbox\": [112, 26, 134, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 26, 269, 36]}, {\"cell\": \"Cost benefit\", \"bbox\": [362, 26, 403, 36]}, {\"cell\": \"Adolescen*\", \"bbox\": [1, 40, 39, 50]}, {\"cell\": \"Physically impair*\", \"bbox\": [112, 40, 169, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 40, 254, 50]}, {\"cell\": \"Cost utility\", \"bbox\": [362, 40, 398, 50]}, {\"cell\": \"Young*\", \"bbox\": [1, 54, 27, 64]}, {\"cell\": \"Physical impair*\", \"bbox\": [112, 54, 164, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 54, 298, 64]}, {\"cell\": \"Cost effective*\", \"bbox\": [362, 54, 410, 64]}, {\"cell\": \"Teen*\", \"bbox\": [1, 68, 21, 78]}, {\"cell\": \"Handicap*\", \"bbox\": [112, 68, 147, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 68, 271, 78]}, {\"cell\": \"Qaly\", \"bbox\": [362, 68, 378, 78]}, {\"cell\": \"Disab* child*\", \"bbox\": [1, 82, 44, 92]}, {\"cell\": \"Dystroph*\", \"bbox\": [112, 82, 146, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 82, 299, 92]}, {\"cell\": \"Quality-adjusted life year\", \"bbox\": [362, 82, 443, 92]}, {\"cell\": \"Disab*\", \"bbox\": [1, 96, 23, 106]}, {\"cell\": \"Cerebral palsy\", \"bbox\": [112, 96, 158, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 96, 297, 106]}, {\"cell\": \"Quality adjusted life year\", \"bbox\": [362, 96, 443, 106]}, {\"cell\": \"Adolescen*\", \"bbox\": [1, 110, 39, 120]}, {\"cell\": \"Spina bifida\", \"bbox\": [112, 110, 151, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 110, 266, 120]}, {\"cell\": \"Health economic*\", \"bbox\": [362, 110, 422, 120]}, {\"cell\": \"Disab* young*\", \"bbox\": [1, 124, 49, 134]}, {\"cell\": \"Wheelchair*\", \"bbox\": [112, 124, 152, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 124, 286, 134]}, {\"cell\": \"Economic analys*\", \"bbox\": [362, 124, 420, 134]}, {\"cell\": \"Disab* teen*\", \"bbox\": [1, 138, 43, 148]}, {\"cell\": \"Special needs\", \"bbox\": [112, 138, 157, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 138, 293, 148]}, {\"cell\": \"Cost minimisation\", \"bbox\": [362, 138, 421, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Amputee\", \"bbox\": [112, 152, 143, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 152, 282, 162]}, {\"cell\": \"Health care cost*\", \"bbox\": [362, 152, 419, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Complex needs\", \"bbox\": [112, 166, 164, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 166, 265, 176]}, {\"cell\": \"Healthcare cost*\", \"bbox\": [362, 166, 416, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Brain injury\", \"bbox\": [112, 180, 149, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 180, 260, 190]}, {\"cell\": \"Social economic*\", \"bbox\": [362, 180, 419, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Brain damage*\", \"bbox\": [112, 194, 161, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Social care economic*\", \"bbox\": [362, 194, 435, 204]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4110242_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}575{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Adjusted ratio of expected GM of BLL (95 % CI)</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\">Total sample</td></tr><tr><td> Combined Akhtala and Alaverdi compared to Yerevan</td><td>[EMPTY_CELL]</td><td>0.001*</td></tr><tr><td> Caregiver’s lower education compared to higher</td><td>[EMPTY_CELL]</td><td>0.004*</td></tr><tr><td> Dusting furniture less often than daily compared to daily</td><td>[EMPTY_CELL]</td><td>0.075**</td></tr><tr><td> Closer housing distance from toxic source(s) compared to farther</td><td>[EMPTY_CELL]</td><td>0.002*</td></tr><tr><td colspan=\\\"3\\\">Akhtala and Alaverdi combined</td></tr><tr><td> Caregiver’s lower education compared to higher</td><td>[EMPTY_CELL]</td><td>0.035*</td></tr><tr><td> Dusting furniture less often than daily compared to daily</td><td>[EMPTY_CELL]</td><td>0.024*</td></tr><tr><td colspan=\\\"3\\\">Yerevan</td></tr><tr><td> Caregiver’s lower education compared to higher</td><td>[EMPTY_CELL]</td><td>0.030*</td></tr><tr><td colspan=\\\"3\\\">For housing located farther from toxic source(s)***</td></tr><tr><td> Old windows compared to new ones</td><td>[EMPTY_CELL]</td><td>0.000*</td></tr><tr><td colspan=\\\"3\\\">For housing located closer to the toxic source(s)</td></tr><tr><td> Old windows compared to new ones</td><td>[EMPTY_CELL]</td><td>0.628</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>Adjusted ratio of expected GM of BLL (95 % CI)</b>\", \"bbox\": [262, 4, 416, 13]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Total sample\", \"bbox\": [1, 17, 43, 27]}, {\"cell\": \" Combined Akhtala and Alaverdi compared to Yerevan\", \"bbox\": [8, 31, 184, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 31, 313, 41]}, {\"cell\": \"0.001*\", \"bbox\": [459, 31, 481, 41]}, {\"cell\": \" Caregiver’s lower education compared to higher\", \"bbox\": [8, 45, 166, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 45, 313, 55]}, {\"cell\": \"0.004*\", \"bbox\": [459, 45, 481, 55]}, {\"cell\": \" Dusting furniture less often than daily compared to daily\", \"bbox\": [9, 59, 193, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 59, 313, 69]}, {\"cell\": \"0.075**\", \"bbox\": [459, 59, 484, 69]}, {\"cell\": \" Closer housing distance from toxic source(s) compared to farther\", \"bbox\": [9, 73, 220, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 73, 311, 83]}, {\"cell\": \"0.002*\", \"bbox\": [459, 73, 481, 83]}, {\"cell\": \"Akhtala and Alaverdi combined\", \"bbox\": [1, 87, 103, 97]}, {\"cell\": \" Caregiver’s lower education compared to higher\", \"bbox\": [9, 101, 166, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 101, 313, 111]}, {\"cell\": \"0.035*\", \"bbox\": [459, 101, 481, 111]}, {\"cell\": \" Dusting furniture less often than daily compared to daily\", \"bbox\": [9, 115, 193, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 115, 313, 125]}, {\"cell\": \"0.024*\", \"bbox\": [459, 115, 481, 125]}, {\"cell\": \"Yerevan\", \"bbox\": [1, 129, 28, 139]}, {\"cell\": \" Caregiver’s lower education compared to higher\", \"bbox\": [9, 143, 166, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 143, 313, 153]}, {\"cell\": \"0.030*\", \"bbox\": [459, 143, 481, 153]}, {\"cell\": \"For housing located farther from toxic source(s)***\", \"bbox\": [1, 157, 165, 167]}, {\"cell\": \" Old windows compared to new ones\", \"bbox\": [9, 171, 131, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 171, 313, 181]}, {\"cell\": \"0.000*\", \"bbox\": [459, 171, 481, 181]}, {\"cell\": \"For housing located closer to the toxic source(s)\", \"bbox\": [1, 185, 158, 195]}, {\"cell\": \" Old windows compared to new ones\", \"bbox\": [9, 199, 131, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 199, 313, 209]}, {\"cell\": \"0.628\", \"bbox\": [459, 199, 478, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5015252_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}576{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Property {Area of Structure (sq m)}, Study Dates <sup>1</sup></b></td><td><b>IGMs <sup>2</sup></b></td><td><b>Cumulative Pre-Treatment Termite Activity <sup>3</sup> {Estimated Foraging Area (sq m)}</b></td><td><b>Treatment Date, Volume (L)</b></td><td><b>Post-Treatment Termite Activity <sup>4</sup> {Estimated Foraging Area (sq m) at Final Inspection}</b></td></tr></thead><tbody><tr><td>TX-1 <sup>5</sup> {109}, 6-VIII-12 – 7-V-14</td><td>#1–#27 + #28–#40</td><td>[EMPTY_CELL]</td><td>15-X-12, 307</td><td><underline>Infesting Colony {0}</underline>No evidence in structure; IGMs #1<sub>17MAT</sub>, #32<sub>17,18MAT</sub>, #39<sub>9MAT</sub><underline>Landscape Colonies in IGMs</underline>Colony A {2}: #1<sub>7,8,18,19MAT</sub>;Colony B {0}: #31<sub>7,8MAT</sub>;Colony C {0}: #32<sub>9MAT</sub>;Colony D {2}: #20<sub>17MAT</sub></td></tr><tr><td>TX-2 {146}, 6-VIII-12 – 4-XII-14</td><td>#1–#27 + #28–#36</td><td>[EMPTY_CELL]</td><td>9-XI-12, 265 <sup>6</sup></td><td><underline>Infesting Colony {0}</underline>In window <sup>7</sup> @ 5 MAT; None in IGMs</td></tr><tr><td>TX-3 {278}, 10-VIII-12 – 4-XII-14</td><td>#1–#25 + #26–#44</td><td>[EMPTY_CELL]</td><td>21-IX-12, 337</td><td><underline>Infesting Colony {0}</underline>No evidence in structure; None in IGMs<underline>Landscape Colonies in IGMs {0}</underline>None detected</td></tr><tr><td>TX-4 {278}, 3-XII-12 – 30-VII-15</td><td>#1–#26 + #27–#44</td><td>[EMPTY_CELL]</td><td>12-XI-13, 326</td><td><underline>Infesting Colony {0}</underline>No evidence in structure; None in IGMs</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Property {Area of Structure (sq m)}, Study Dates <sup>1</sup></b>\", \"bbox\": [10, 4, 69, 30]}, {\"cell\": \"<b>IGMs <sup>2</sup></b>\", \"bbox\": [85, 11, 110, 22]}, {\"cell\": \"<b>Cumulative Pre-Treatment Termite Activity <sup>3</sup> {Estimated Foraging Area (sq m)}</b>\", \"bbox\": [123, 4, 240, 30]}, {\"cell\": \"<b>Treatment Date, Volume (L)</b>\", \"bbox\": [254, 8, 307, 26]}, {\"cell\": \"<b>Post-Treatment Termite Activity <sup>4</sup> {Estimated Foraging Area (sq m) at Final Inspection}</b>\", \"bbox\": [321, 3, 435, 30]}, {\"cell\": \"TX-1 <sup>5</sup> {109}, 6-VIII-12 – 7-V-14\", \"bbox\": [11, 59, 68, 78]}, {\"cell\": \"#1–#27 + #28–#40\", \"bbox\": [84, 56, 111, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 47, 234, 91]}, {\"cell\": \"15-X-12, 307\", \"bbox\": [267, 60, 294, 78]}, {\"cell\": \"<underline>Infesting Colony {0}</underline>No evidence in structure; IGMs #1<sub>17MAT</sub>, #32<sub>17,18MAT</sub>, #39<sub>9MAT</sub><underline>Landscape Colonies in IGMs</underline>Colony A {2}: #1<sub>7,8,18,19MAT</sub>;Colony B {0}: #31<sub>7,8MAT</sub>;Colony C {0}: #32<sub>9MAT</sub>;Colony D {2}: #20<sub>17MAT</sub>\", \"bbox\": [328, 34, 429, 105]}, {\"cell\": \"TX-2 {146}, 6-VIII-12 – 4-XII-14\", \"bbox\": [9, 112, 70, 130]}, {\"cell\": \"#1–#27 + #28–#36\", \"bbox\": [84, 108, 111, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 112, 242, 130]}, {\"cell\": \"9-XI-12, 265 <sup>6</sup>\", \"bbox\": [267, 112, 294, 130]}, {\"cell\": \"<underline>Infesting Colony {0}</underline>In window <sup>7</sup> @ 5 MAT; None in IGMs\", \"bbox\": [342, 107, 415, 135]}, {\"cell\": \"TX-3 {278}, 10-VIII-12 – 4-XII-14\", \"bbox\": [7, 156, 72, 174]}, {\"cell\": \"#1–#25 + #26–#44\", \"bbox\": [84, 152, 111, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 139, 241, 191]}, {\"cell\": \"21-IX-12, 337\", \"bbox\": [266, 156, 295, 174]}, {\"cell\": \"<underline>Infesting Colony {0}</underline>No evidence in structure; None in IGMs<underline>Landscape Colonies in IGMs {0}</underline>None detected\", \"bbox\": [327, 143, 430, 187]}, {\"cell\": \"TX-4 {278}, 3-XII-12 – 30-VII-15\", \"bbox\": [8, 199, 71, 217]}, {\"cell\": \"#1–#26 + #27–#44\", \"bbox\": [84, 194, 111, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 199, 242, 217]}, {\"cell\": \"12-XI-13, 326\", \"bbox\": [266, 199, 295, 217]}, {\"cell\": \"<underline>Infesting Colony {0}</underline>No evidence in structure; None in IGMs\", \"bbox\": [338, 194, 419, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5620712_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}577{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>No. of patients</b></td><td rowspan=\\\"2\\\"><b>P value</b></td></tr><tr><td><b>ADR group (n=50)</b></td><td><b>Control group (n=270)</b></td></tr></thead><tbody><tr><td>Age, years</td><td>Median</td><td>54.5</td><td>54</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Range</td><td>35-80</td><td>27-80</td><td>[EMPTY_CELL]</td></tr><tr><td>Cancer</td><td>Ovary</td><td>27 (54%)</td><td>166 (61%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Uterus</td><td>17 (34%)</td><td>80 (30%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Cervix</td><td>2 (4%)</td><td>8 (3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Ovary+uterus</td><td>4 (8%)</td><td>13 (5%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Ovary+cervix</td><td>0 (0%)</td><td>3 (1%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Stage</td><td>I</td><td>18 (36%)</td><td>97 (36%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>II</td><td>6 (12%)</td><td>19 (7%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>III</td><td>21 (42%)</td><td>114 (42%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>IV</td><td>5 (10%)</td><td>40 (15%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Regimen</td><td>Dose-dense</td><td>12 (24%)</td><td>55 (20%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Tri-weekly</td><td>38 (76%)</td><td>215 (80%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total number of cycles</td><td>1</td><td>0 (0%)</td><td>5 (2%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>0 (0%)</td><td>10 (4%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>3 (6%)</td><td>9 (3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>3 (6%)</td><td>7 (3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>6 (12%)</td><td>12 (4%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>35 (70%)</td><td>204 (76%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>0 (0%)</td><td>2 (1%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>2 (4%)</td><td>13 (5%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>1 (2%)</td><td>8 (3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Median</td><td>6</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>Treatment</td><td>1st-line</td><td>45 (90%)</td><td>253 (94%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Recurrent</td><td>5 (10%)</td><td>17 (6%)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No. of patients</b>\", \"bbox\": [268, 6, 332, 16]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [432, 6, 465, 16]}, {\"cell\": \"<b>ADR group (n=50)</b>\", \"bbox\": [224, 22, 276, 45]}, {\"cell\": \"<b>Control group (n=270)</b>\", \"bbox\": [318, 22, 381, 45]}, {\"cell\": \"Age, years\", \"bbox\": [4, 52, 48, 63]}, {\"cell\": \"Median\", \"bbox\": [103, 52, 135, 63]}, {\"cell\": \"54.5\", \"bbox\": [240, 52, 260, 63]}, {\"cell\": \"54\", \"bbox\": [343, 52, 355, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 52, 461, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Range\", \"bbox\": [103, 69, 130, 80]}, {\"cell\": \"35-80\", \"bbox\": [237, 69, 263, 80]}, {\"cell\": \"27-80\", \"bbox\": [337, 69, 362, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cancer\", \"bbox\": [4, 86, 34, 97]}, {\"cell\": \"Ovary\", \"bbox\": [103, 86, 130, 97]}, {\"cell\": \"27 (54%)\", \"bbox\": [230, 86, 270, 97]}, {\"cell\": \"166 (61%)\", \"bbox\": [327, 86, 372, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Uterus\", \"bbox\": [103, 103, 132, 114]}, {\"cell\": \"17 (34%)\", \"bbox\": [230, 103, 270, 114]}, {\"cell\": \"80 (30%)\", \"bbox\": [330, 103, 369, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cervix\", \"bbox\": [103, 120, 132, 131]}, {\"cell\": \"2 (4%)\", \"bbox\": [235, 120, 265, 131]}, {\"cell\": \"8 (3%)\", \"bbox\": [335, 120, 364, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ovary+uterus\", \"bbox\": [103, 136, 160, 148]}, {\"cell\": \"4 (8%)\", \"bbox\": [235, 136, 265, 148]}, {\"cell\": \"13 (5%)\", \"bbox\": [332, 136, 367, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ovary+cervix\", \"bbox\": [103, 153, 161, 164]}, {\"cell\": \"0 (0%)\", \"bbox\": [235, 153, 265, 164]}, {\"cell\": \"3 (1%)\", \"bbox\": [335, 153, 364, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stage\", \"bbox\": [4, 170, 28, 181]}, {\"cell\": \"I\", \"bbox\": [103, 170, 108, 181]}, {\"cell\": \"18 (36%)\", \"bbox\": [230, 170, 270, 181]}, {\"cell\": \"97 (36%)\", \"bbox\": [330, 170, 369, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 170, 459, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [103, 187, 112, 198]}, {\"cell\": \"6 (12%)\", \"bbox\": [233, 187, 267, 198]}, {\"cell\": \"19 (7%)\", \"bbox\": [332, 187, 367, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 187, 481, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [103, 204, 115, 215]}, {\"cell\": \"21 (42%)\", \"bbox\": [230, 204, 270, 215]}, {\"cell\": \"114 (42%)\", \"bbox\": [327, 204, 371, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IV\", \"bbox\": [103, 221, 115, 232]}, {\"cell\": \"5 (10%)\", \"bbox\": [233, 221, 267, 232]}, {\"cell\": \"40 (15%)\", \"bbox\": [330, 221, 369, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Regimen\", \"bbox\": [4, 238, 42, 249]}, {\"cell\": \"Dose-dense\", \"bbox\": [103, 238, 152, 249]}, {\"cell\": \"12 (24%)\", \"bbox\": [230, 238, 270, 249]}, {\"cell\": \"55 (20%)\", \"bbox\": [330, 238, 369, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 238, 459, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tri-weekly\", \"bbox\": [103, 255, 149, 266]}, {\"cell\": \"38 (76%)\", \"bbox\": [230, 255, 270, 266]}, {\"cell\": \"215 (80%)\", \"bbox\": [327, 255, 372, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total number of cycles\", \"bbox\": [4, 272, 97, 283]}, {\"cell\": \"1\", \"bbox\": [103, 272, 110, 283]}, {\"cell\": \"0 (0%)\", \"bbox\": [235, 272, 265, 283]}, {\"cell\": \"5 (2%)\", \"bbox\": [335, 272, 364, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [439, 272, 459, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [103, 289, 110, 300]}, {\"cell\": \"0 (0%)\", \"bbox\": [235, 289, 265, 300]}, {\"cell\": \"10 (4%)\", \"bbox\": [332, 289, 367, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [103, 306, 110, 317]}, {\"cell\": \"3 (6%)\", \"bbox\": [235, 306, 265, 317]}, {\"cell\": \"9 (3%)\", \"bbox\": [335, 306, 364, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [103, 323, 110, 334]}, {\"cell\": \"3 (6%)\", \"bbox\": [235, 323, 265, 334]}, {\"cell\": \"7 (3%)\", \"bbox\": [335, 323, 364, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [103, 340, 110, 351]}, {\"cell\": \"6 (12%)\", \"bbox\": [233, 340, 267, 351]}, {\"cell\": \"12 (4%)\", \"bbox\": [332, 340, 367, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [103, 357, 110, 368]}, {\"cell\": \"35 (70%)\", \"bbox\": [230, 357, 270, 368]}, {\"cell\": \"204 (76%)\", \"bbox\": [327, 357, 372, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [103, 374, 110, 385]}, {\"cell\": \"0 (0%)\", \"bbox\": [235, 374, 265, 385]}, {\"cell\": \"2 (1%)\", \"bbox\": [335, 374, 364, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [103, 390, 110, 402]}, {\"cell\": \"2 (4%)\", \"bbox\": [235, 390, 265, 402]}, {\"cell\": \"13 (5%)\", \"bbox\": [332, 390, 367, 402]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [103, 407, 110, 418]}, {\"cell\": \"1 (2%)\", \"bbox\": [235, 407, 265, 418]}, {\"cell\": \"8 (3%)\", \"bbox\": [335, 407, 364, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Median\", \"bbox\": [103, 424, 135, 435]}, {\"cell\": \"6\", \"bbox\": [247, 424, 254, 435]}, {\"cell\": \"6\", \"bbox\": [346, 424, 353, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Treatment\", \"bbox\": [4, 441, 46, 452]}, {\"cell\": \"1st-line\", \"bbox\": [103, 441, 135, 452]}, {\"cell\": \"45 (90%)\", \"bbox\": [230, 441, 270, 452]}, {\"cell\": \"253 (94%)\", \"bbox\": [327, 441, 372, 452]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Recurrent\", \"bbox\": [103, 458, 144, 469]}, {\"cell\": \"5 (10%)\", \"bbox\": [233, 458, 267, 469]}, {\"cell\": \"17 (6%)\", \"bbox\": [332, 458, 367, 469]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6049855_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}578{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Sub groups</b></td><td colspan=\\\"2\\\"><b>NDHS 1996</b></td><td colspan=\\\"2\\\"><b>NDHS 2001</b></td><td colspan=\\\"2\\\"><b>NDHS 2006</b></td><td colspan=\\\"2\\\"><b>NDHS 2011</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>HR (95% CIs)</b></td><td><b>p-value</b></td><td><b>HR (95% CIs)</b></td><td><b>p-value</b></td><td><b>HR (95% CIs)</b></td><td><b>p-value</b></td><td><b>HR (95% CIs)</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td colspan=\\\"9\\\"><b>Child's sex</b></td></tr><tr><td>Male</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Female</td><td>1.03 (1.00,1.07)</td><td>0.013</td><td>1.05 (1.02,1.08)</td><td><0.001</td><td>1.00 (1.03, 1.05)</td><td>0.048</td><td>[EMPTY_CELL]</td><td>0.041</td></tr><tr><td colspan=\\\"9\\\"><b>Mother’s education</b></td></tr><tr><td>Higher</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Secondary</td><td>1.44 (1.10, 1.89)</td><td><0.001</td><td>1.18 (1.08, 1.29)</td><td><0.001</td><td>1.26 (1.12, 1.78)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Primary</td><td>1.81 (1.37, 2.39)</td><td><0.001</td><td>1.70 (1.22, 2.38)</td><td><0.001</td><td>1.74 (1.27, 2.39)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>No education</td><td>2.55 (1.95, 3.33)</td><td><0.001</td><td>2.35 (1.67, 3.32)</td><td><0.001</td><td>2.99(2.12, 4.21)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td colspan=\\\"9\\\"><b>Wealth index</b></td></tr><tr><td>Highest</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Fourth </td><td>1.14 (1.06, 1.27)</td><td><0.001</td><td>1.33 (1.22, 1.44)</td><td><0.001</td><td>1.23 (1.12, 1.36)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Middle</td><td>1.10 (1.01, 1.20)</td><td><0.001</td><td>1.41 (1.29, 1.54)</td><td><0.001</td><td>1.37 (1.21, 1.55)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Second</td><td>1.18 (1.09, 1.28)</td><td><0.001</td><td>1.39 (1.27, 1.51)</td><td><0.001</td><td>1.49 (1.32, 1.69)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Lowest</td><td>1.37 (1.27, 1.49)</td><td><0.001</td><td>1.42 (1.30, 1.56)</td><td><0.001</td><td>1.75 (1.54, 1.98)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td colspan=\\\"9\\\"><b>Urban/rural residence</b></td></tr><tr><td>Urban </td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Rural</td><td>1.17 (1.05, 1.23)</td><td><0.001</td><td>1.18 (1.08, 1.29)</td><td><0.001</td><td>1.06 (1.05, 1.17)</td><td>0.034</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td colspan=\\\"9\\\"><b>Development region</b></td></tr><tr><td>Eastern</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Central</td><td>1.04 (0.95, 1.13)</td><td>0.333</td><td>0.96 (0.87, 1.05)</td><td>0.052</td><td>0.97 (0.90, 1.05)</td><td>0.052</td><td>[EMPTY_CELL]</td><td>0.709</td></tr><tr><td>Western</td><td>0.98 (0.91, 1.08)</td><td>0.393</td><td>0.97 (0.89, 1.06)</td><td>0.080</td><td>0.93 (0.86, 1.01)</td><td>0.072</td><td>[EMPTY_CELL]</td><td>0.932</td></tr><tr><td>Mid-western</td><td>1.02 (0.94, 1.13)</td><td>0.469</td><td>0.92 (0.83, 1.02</td><td>0.074</td><td>0.98 (0.89, 1.07)</td><td>0.441</td><td>[EMPTY_CELL]</td><td>0.632</td></tr><tr><td>Far-western</td><td>1.05 (0.97, 1.15)</td><td>0.166</td><td>1.04 (0.93, 1.17)</td><td>0.632</td><td>0.96 (0.87, 1.07)</td><td>0.134</td><td>[EMPTY_CELL]</td><td>0.003</td></tr><tr><td colspan=\\\"9\\\"><b>Ecological region</b></td></tr><tr><td>Terai (plains)</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Hill</td><td>1.06 (1.00, 1.13)</td><td>0.002</td><td>1.12 (1.05, 1.20)</td><td><0.001</td><td>1.01 (0.94, 1.09)</td><td>0.829</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>Mountain</td><td>1.13 (1.06, 1.22)</td><td><0.001</td><td>1.09 (1.00, 1.18)</td><td><0.001</td><td>1.12 (1.01, 1.22)</td><td>0.009</td><td>[EMPTY_CELL]</td><td>0.231</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Sub groups</b>\", \"bbox\": [0, 15, 39, 27]}, {\"cell\": \"<b>NDHS 1996</b>\", \"bbox\": [62, 14, 98, 26]}, {\"cell\": \"<b>NDHS 2001</b>\", \"bbox\": [172, 14, 208, 26]}, {\"cell\": \"<b>NDHS 2006</b>\", \"bbox\": [282, 14, 318, 26]}, {\"cell\": \"<b>NDHS 2011</b>\", \"bbox\": [392, 14, 428, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>HR (95% CIs)</b>\", \"bbox\": [62, 26, 104, 38]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [136, 26, 160, 38]}, {\"cell\": \"<b>HR (95% CIs)</b>\", \"bbox\": [172, 26, 214, 38]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [246, 26, 271, 38]}, {\"cell\": \"<b>HR (95% CIs)</b>\", \"bbox\": [282, 26, 324, 38]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [356, 26, 381, 38]}, {\"cell\": \"<b>HR (95% CIs)</b>\", \"bbox\": [392, 26, 434, 38]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [466, 26, 491, 38]}, {\"cell\": \"<b>Child's sex</b>\", \"bbox\": [1, 38, 37, 49]}, {\"cell\": \"Male\", \"bbox\": [1, 49, 17, 60]}, {\"cell\": \"1\", \"bbox\": [62, 49, 67, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 49, 177, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 49, 287, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 49, 397, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [1, 60, 24, 71]}, {\"cell\": \"1.03 (1.00,1.07)\", \"bbox\": [62, 60, 110, 71]}, {\"cell\": \"0.013\", \"bbox\": [136, 60, 154, 71]}, {\"cell\": \"1.05 (1.02,1.08)\", \"bbox\": [172, 60, 220, 71]}, {\"cell\": \"<0.001\", \"bbox\": [246, 60, 268, 71]}, {\"cell\": \"1.00 (1.03, 1.05)\", \"bbox\": [282, 60, 331, 71]}, {\"cell\": \"0.048\", \"bbox\": [356, 60, 374, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 60, 441, 71]}, {\"cell\": \"0.041\", \"bbox\": [466, 60, 484, 71]}, {\"cell\": \"<b>Mother’s education</b>\", \"bbox\": [1, 71, 62, 82]}, {\"cell\": \"Higher\", \"bbox\": [1, 82, 22, 93]}, {\"cell\": \"1\", \"bbox\": [62, 82, 67, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 82, 177, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 82, 287, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 82, 397, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Secondary\", \"bbox\": [1, 93, 34, 104]}, {\"cell\": \"1.44 (1.10, 1.89)\", \"bbox\": [62, 93, 111, 104]}, {\"cell\": \"<0.001\", \"bbox\": [136, 93, 158, 104]}, {\"cell\": \"1.18 (1.08, 1.29)\", \"bbox\": [172, 93, 221, 104]}, {\"cell\": \"<0.001\", \"bbox\": [246, 93, 268, 104]}, {\"cell\": \"1.26 (1.12, 1.78)\", \"bbox\": [282, 93, 331, 104]}, {\"cell\": \"<0.001\", \"bbox\": [356, 93, 378, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 93, 441, 104]}, {\"cell\": \"<0.001\", \"bbox\": [466, 93, 488, 104]}, {\"cell\": \"Primary\", \"bbox\": [1, 104, 25, 115]}, {\"cell\": \"1.81 (1.37, 2.39)\", \"bbox\": [62, 104, 111, 115]}, {\"cell\": \"<0.001\", \"bbox\": [136, 104, 158, 115]}, {\"cell\": \"1.70 (1.22, 2.38)\", \"bbox\": [172, 104, 221, 115]}, {\"cell\": \"<0.001\", \"bbox\": [246, 104, 268, 115]}, {\"cell\": \"1.74 (1.27, 2.39)\", \"bbox\": [282, 104, 331, 115]}, {\"cell\": \"<0.001\", \"bbox\": [356, 104, 378, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 104, 441, 115]}, {\"cell\": \"<0.001\", \"bbox\": [466, 104, 488, 115]}, {\"cell\": \"No education\", \"bbox\": [1, 115, 41, 126]}, {\"cell\": \"2.55 (1.95, 3.33)\", \"bbox\": [62, 115, 111, 126]}, {\"cell\": \"<0.001\", \"bbox\": [136, 115, 158, 126]}, {\"cell\": \"2.35 (1.67, 3.32)\", \"bbox\": [172, 115, 221, 126]}, {\"cell\": \"<0.001\", \"bbox\": [246, 115, 268, 126]}, {\"cell\": \"2.99(2.12, 4.21)\", \"bbox\": [282, 115, 330, 126]}, {\"cell\": \"<0.001\", \"bbox\": [356, 115, 378, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 115, 441, 126]}, {\"cell\": \"<0.001\", \"bbox\": [466, 115, 488, 126]}, {\"cell\": \"<b>Wealth index</b>\", \"bbox\": [1, 126, 43, 137]}, {\"cell\": \"Highest\", \"bbox\": [1, 137, 25, 148]}, {\"cell\": \"1\", \"bbox\": [62, 137, 67, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 137, 177, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 137, 287, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 137, 397, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Fourth \", \"bbox\": [1, 148, 21, 159]}, {\"cell\": \"1.14 (1.06, 1.27)\", \"bbox\": [62, 148, 111, 159]}, {\"cell\": \"<0.001\", \"bbox\": [136, 148, 158, 159]}, {\"cell\": \"1.33 (1.22, 1.44)\", \"bbox\": [172, 148, 221, 159]}, {\"cell\": \"<0.001\", \"bbox\": [246, 148, 268, 159]}, {\"cell\": \"1.23 (1.12, 1.36)\", \"bbox\": [282, 148, 331, 159]}, {\"cell\": \"<0.001\", \"bbox\": [356, 148, 378, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 148, 441, 159]}, {\"cell\": \"<0.001\", \"bbox\": [466, 148, 488, 159]}, {\"cell\": \"Middle\", \"bbox\": [1, 159, 22, 170]}, {\"cell\": \"1.10 (1.01, 1.20)\", \"bbox\": [62, 159, 111, 170]}, {\"cell\": \"<0.001\", \"bbox\": [136, 159, 158, 170]}, {\"cell\": \"1.41 (1.29, 1.54)\", \"bbox\": [172, 159, 221, 170]}, {\"cell\": \"<0.001\", \"bbox\": [246, 159, 268, 170]}, {\"cell\": \"1.37 (1.21, 1.55)\", \"bbox\": [282, 159, 331, 170]}, {\"cell\": \"<0.001\", \"bbox\": [356, 159, 378, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 159, 441, 170]}, {\"cell\": \"<0.001\", \"bbox\": [466, 159, 488, 170]}, {\"cell\": \"Second\", \"bbox\": [1, 170, 25, 181]}, {\"cell\": \"1.18 (1.09, 1.28)\", \"bbox\": [62, 170, 111, 181]}, {\"cell\": \"<0.001\", \"bbox\": [136, 170, 158, 181]}, {\"cell\": \"1.39 (1.27, 1.51)\", \"bbox\": [172, 170, 221, 181]}, {\"cell\": \"<0.001\", \"bbox\": [246, 170, 268, 181]}, {\"cell\": \"1.49 (1.32, 1.69)\", \"bbox\": [282, 170, 331, 181]}, {\"cell\": \"<0.001\", \"bbox\": [356, 170, 378, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 170, 441, 181]}, {\"cell\": \"<0.001\", \"bbox\": [466, 170, 488, 181]}, {\"cell\": \"Lowest\", \"bbox\": [1, 181, 23, 192]}, {\"cell\": \"1.37 (1.27, 1.49)\", \"bbox\": [62, 181, 111, 192]}, {\"cell\": \"<0.001\", \"bbox\": [136, 181, 158, 192]}, {\"cell\": \"1.42 (1.30, 1.56)\", \"bbox\": [172, 181, 221, 192]}, {\"cell\": \"<0.001\", \"bbox\": [246, 181, 268, 192]}, {\"cell\": \"1.75 (1.54, 1.98)\", \"bbox\": [282, 181, 331, 192]}, {\"cell\": \"<0.001\", \"bbox\": [356, 181, 378, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 181, 441, 192]}, {\"cell\": \"<0.001\", \"bbox\": [466, 181, 488, 192]}, {\"cell\": \"<b>Urban/rural residence</b>\", \"bbox\": [1, 192, 70, 203]}, {\"cell\": \"Urban \", \"bbox\": [1, 203, 20, 214]}, {\"cell\": \"1\", \"bbox\": [62, 203, 67, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 203, 177, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 203, 287, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 203, 397, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Rural\", \"bbox\": [1, 214, 18, 225]}, {\"cell\": \"1.17 (1.05, 1.23)\", \"bbox\": [62, 214, 111, 225]}, {\"cell\": \"<0.001\", \"bbox\": [136, 214, 158, 225]}, {\"cell\": \"1.18 (1.08, 1.29)\", \"bbox\": [172, 214, 221, 225]}, {\"cell\": \"<0.001\", \"bbox\": [246, 214, 268, 225]}, {\"cell\": \"1.06 (1.05, 1.17)\", \"bbox\": [282, 214, 331, 225]}, {\"cell\": \"0.034\", \"bbox\": [356, 214, 374, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 214, 441, 225]}, {\"cell\": \"<0.001\", \"bbox\": [466, 214, 488, 225]}, {\"cell\": \"<b>Development region</b>\", \"bbox\": [1, 225, 65, 236]}, {\"cell\": \"Eastern\", \"bbox\": [1, 236, 25, 247]}, {\"cell\": \"1\", \"bbox\": [62, 236, 67, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 236, 177, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 236, 287, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 236, 397, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Central\", \"bbox\": [1, 247, 23, 258]}, {\"cell\": \"1.04 (0.95, 1.13)\", \"bbox\": [62, 247, 111, 258]}, {\"cell\": \"0.333\", \"bbox\": [136, 247, 154, 258]}, {\"cell\": \"0.96 (0.87, 1.05)\", \"bbox\": [172, 247, 221, 258]}, {\"cell\": \"0.052\", \"bbox\": [246, 247, 264, 258]}, {\"cell\": \"0.97 (0.90, 1.05)\", \"bbox\": [282, 247, 331, 258]}, {\"cell\": \"0.052\", \"bbox\": [356, 247, 374, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 247, 441, 258]}, {\"cell\": \"0.709\", \"bbox\": [466, 247, 484, 258]}, {\"cell\": \"Western\", \"bbox\": [1, 258, 27, 269]}, {\"cell\": \"0.98 (0.91, 1.08)\", \"bbox\": [62, 258, 111, 269]}, {\"cell\": \"0.393\", \"bbox\": [136, 258, 154, 269]}, {\"cell\": \"0.97 (0.89, 1.06)\", \"bbox\": [172, 258, 221, 269]}, {\"cell\": \"0.080\", \"bbox\": [246, 258, 264, 269]}, {\"cell\": \"0.93 (0.86, 1.01)\", \"bbox\": [282, 258, 331, 269]}, {\"cell\": \"0.072\", \"bbox\": [356, 258, 374, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 258, 441, 269]}, {\"cell\": \"0.932\", \"bbox\": [466, 258, 484, 269]}, {\"cell\": \"Mid-western\", \"bbox\": [1, 269, 38, 280]}, {\"cell\": \"1.02 (0.94, 1.13)\", \"bbox\": [62, 269, 111, 280]}, {\"cell\": \"0.469\", \"bbox\": [136, 269, 154, 280]}, {\"cell\": \"0.92 (0.83, 1.02\", \"bbox\": [172, 269, 219, 280]}, {\"cell\": \"0.074\", \"bbox\": [246, 269, 264, 280]}, {\"cell\": \"0.98 (0.89, 1.07)\", \"bbox\": [282, 269, 331, 280]}, {\"cell\": \"0.441\", \"bbox\": [356, 269, 374, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 269, 439, 280]}, {\"cell\": \"0.632\", \"bbox\": [466, 269, 484, 280]}, {\"cell\": \"Far-western\", \"bbox\": [1, 280, 37, 291]}, {\"cell\": \"1.05 (0.97, 1.15)\", \"bbox\": [62, 280, 111, 291]}, {\"cell\": \"0.166\", \"bbox\": [136, 280, 154, 291]}, {\"cell\": \"1.04 (0.93, 1.17)\", \"bbox\": [172, 280, 221, 291]}, {\"cell\": \"0.632\", \"bbox\": [246, 280, 264, 291]}, {\"cell\": \"0.96 (0.87, 1.07)\", \"bbox\": [282, 280, 331, 291]}, {\"cell\": \"0.134\", \"bbox\": [356, 280, 374, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 280, 441, 291]}, {\"cell\": \"0.003\", \"bbox\": [466, 280, 484, 291]}, {\"cell\": \"<b>Ecological region</b>\", \"bbox\": [1, 291, 57, 302]}, {\"cell\": \"Terai (plains)\", \"bbox\": [1, 302, 40, 313]}, {\"cell\": \"1\", \"bbox\": [62, 302, 67, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [172, 302, 177, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [282, 302, 287, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 302, 397, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hill\", \"bbox\": [1, 313, 12, 324]}, {\"cell\": \"1.06 (1.00, 1.13)\", \"bbox\": [62, 313, 111, 324]}, {\"cell\": \"0.002\", \"bbox\": [136, 313, 154, 324]}, {\"cell\": \"1.12 (1.05, 1.20)\", \"bbox\": [172, 313, 221, 324]}, {\"cell\": \"<0.001\", \"bbox\": [246, 313, 268, 324]}, {\"cell\": \"1.01 (0.94, 1.09)\", \"bbox\": [282, 313, 331, 324]}, {\"cell\": \"0.829\", \"bbox\": [356, 313, 374, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 313, 441, 324]}, {\"cell\": \"0.001\", \"bbox\": [466, 313, 484, 324]}, {\"cell\": \"Mountain\", \"bbox\": [1, 324, 29, 335]}, {\"cell\": \"1.13 (1.06, 1.22)\", \"bbox\": [62, 324, 111, 335]}, {\"cell\": \"<0.001\", \"bbox\": [136, 324, 158, 335]}, {\"cell\": \"1.09 (1.00, 1.18)\", \"bbox\": [172, 324, 221, 335]}, {\"cell\": \"<0.001\", \"bbox\": [246, 324, 268, 335]}, {\"cell\": \"1.12 (1.01, 1.22)\", \"bbox\": [282, 324, 331, 335]}, {\"cell\": \"0.009\", \"bbox\": [356, 324, 374, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 324, 441, 335]}, {\"cell\": \"0.231\", \"bbox\": [466, 324, 484, 335]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3817106_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}579{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>TTH with insomnia, <i>N</i> = 75</b></td><td><b>TTH without insomnia, <i>N</i> = 495</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Demographics</td></tr><tr><td> Age, Mean ± SD (years)</td><td>44.5 ± 13.7</td><td>42.5 ± 13.7</td><td>[EMPTY_CELL]</td></tr><tr><td> Women, N (%)</td><td>43 (57.3)</td><td>259 (52.3)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Headache characteristics</td></tr><tr><td> Bilateral pain, N (%)</td><td>45 (60.0)</td><td>329 (66.5)</td><td>[EMPTY_CELL]</td></tr><tr><td> Non-pulsating quality, N (%)</td><td>29 (38.7)</td><td>198 (40.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Mild-to-moderate severity, N (%)</td><td>73 (97.3)</td><td>490 (99.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Non-aggravation by movement, N(%)</td><td>58 (77.3)</td><td>393 (79.4)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Associated symptoms</td></tr><tr><td> Photophobia, N (%)</td><td>6 (8.0)</td><td>40 (8.1)</td><td>[EMPTY_CELL]</td></tr><tr><td> Phonophobia, N (%)</td><td>31 (41.3)</td><td>150 (30.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Headache frequency, Median (IQR)</td><td>1.0 (0.3–3.0)</td><td>0.4 (0.2–1.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>VAS score, Median (IQR)</td><td>5.0 (4.0–7.0)</td><td>4.0 (3.0–6.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>HIT-6 score, Median (IQR)</td><td>46.0 (40.0–52.0)</td><td>42.0 (38.0–46.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Anxiety, N (%)</td><td>21 (28.0)</td><td>33 (6.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Depression, N (%)</td><td>16 (21.3)</td><td>8 (1.6)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>TTH with insomnia, <i>N</i> = 75</b>\", \"bbox\": [176, 4, 264, 13]}, {\"cell\": \"<b>TTH without insomnia, <i>N</i> = 495</b>\", \"bbox\": [309, 4, 412, 13]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [457, 4, 463, 12]}, {\"cell\": \"Demographics\", \"bbox\": [1, 17, 49, 27]}, {\"cell\": \" Age, Mean ± SD (years)\", \"bbox\": [8, 31, 86, 41]}, {\"cell\": \"44.5 ± 13.7\", \"bbox\": [176, 31, 213, 41]}, {\"cell\": \"42.5 ± 13.7\", \"bbox\": [309, 31, 346, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 31, 475, 41]}, {\"cell\": \" Women, N (%)\", \"bbox\": [8, 45, 57, 55]}, {\"cell\": \"43 (57.3)\", \"bbox\": [176, 45, 205, 55]}, {\"cell\": \"259 (52.3)\", \"bbox\": [309, 45, 342, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 45, 475, 55]}, {\"cell\": \"Headache characteristics\", \"bbox\": [1, 59, 81, 69]}, {\"cell\": \" Bilateral pain, N (%)\", \"bbox\": [8, 73, 73, 83]}, {\"cell\": \"45 (60.0)\", \"bbox\": [176, 73, 205, 83]}, {\"cell\": \"329 (66.5)\", \"bbox\": [309, 73, 342, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 73, 475, 83]}, {\"cell\": \" Non-pulsating quality, N (%)\", \"bbox\": [8, 87, 100, 97]}, {\"cell\": \"29 (38.7)\", \"bbox\": [176, 87, 205, 97]}, {\"cell\": \"198 (40.0)\", \"bbox\": [309, 87, 342, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 87, 475, 97]}, {\"cell\": \" Mild-to-moderate severity, N (%)\", \"bbox\": [8, 101, 114, 111]}, {\"cell\": \"73 (97.3)\", \"bbox\": [176, 101, 205, 111]}, {\"cell\": \"490 (99.0)\", \"bbox\": [309, 101, 342, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 101, 475, 111]}, {\"cell\": \" Non-aggravation by movement, N(%)\", \"bbox\": [8, 115, 131, 125]}, {\"cell\": \"58 (77.3)\", \"bbox\": [176, 115, 205, 125]}, {\"cell\": \"393 (79.4)\", \"bbox\": [309, 115, 342, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 115, 475, 125]}, {\"cell\": \"Associated symptoms\", \"bbox\": [1, 129, 72, 139]}, {\"cell\": \" Photophobia, N (%)\", \"bbox\": [8, 143, 73, 153]}, {\"cell\": \"6 (8.0)\", \"bbox\": [176, 143, 197, 153]}, {\"cell\": \"40 (8.1)\", \"bbox\": [309, 143, 334, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 143, 475, 153]}, {\"cell\": \" Phonophobia, N (%)\", \"bbox\": [8, 157, 75, 167]}, {\"cell\": \"31 (41.3)\", \"bbox\": [176, 157, 205, 167]}, {\"cell\": \"150 (30.3)\", \"bbox\": [309, 157, 342, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 157, 475, 167]}, {\"cell\": \"Headache frequency, Median (IQR)\", \"bbox\": [1, 171, 113, 181]}, {\"cell\": \"1.0 (0.3–3.0)\", \"bbox\": [176, 171, 215, 181]}, {\"cell\": \"0.4 (0.2–1.0)\", \"bbox\": [309, 171, 349, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 169, 478, 181]}, {\"cell\": \"VAS score, Median (IQR)\", \"bbox\": [1, 185, 79, 195]}, {\"cell\": \"5.0 (4.0–7.0)\", \"bbox\": [176, 185, 215, 195]}, {\"cell\": \"4.0 (3.0–6.0)\", \"bbox\": [309, 185, 349, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 183, 484, 195]}, {\"cell\": \"HIT-6 score, Median (IQR)\", \"bbox\": [1, 199, 83, 209]}, {\"cell\": \"46.0 (40.0–52.0)\", \"bbox\": [176, 199, 227, 209]}, {\"cell\": \"42.0 (38.0–46.0)\", \"bbox\": [309, 199, 360, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 197, 484, 209]}, {\"cell\": \"Anxiety, N (%)\", \"bbox\": [1, 213, 47, 223]}, {\"cell\": \"21 (28.0)\", \"bbox\": [176, 213, 205, 223]}, {\"cell\": \"33 (6.7)\", \"bbox\": [309, 213, 334, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 213, 482, 223]}, {\"cell\": \"Depression, N (%)\", \"bbox\": [1, 227, 59, 237]}, {\"cell\": \"16 (21.3)\", \"bbox\": [176, 227, 205, 237]}, {\"cell\": \"8 (1.6)\", \"bbox\": [309, 227, 330, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 227, 482, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5595708_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}580{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Adjusted OR<sup>2</sup></b></td><td><b>(95% CI)<sup>3</sup></b></td><td><b>p value</b></td></tr></thead><tbody><tr><td>Residence</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>City<sup>®</sup></td><td>1</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Village</td><td>0.46</td><td>(0.189-1.156)</td><td>[EMPTY_CELL]</td></tr><tr><td>Camp</td><td>0.03</td><td>(0.005-0.326)</td><td>[EMPTY_CELL]</td></tr><tr><td>Family income (US$)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Less than 485<sup>®</sup></td><td>1</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>(485-620)</td><td>0.19</td><td>(0.057-0.644)</td><td>[EMPTY_CELL]</td></tr><tr><td>More than 620</td><td>0.86</td><td>(0.226-3.311)</td><td>[EMPTY_CELL]</td></tr><tr><td>No income</td><td>0.31</td><td>(0.102-0.950)</td><td>[EMPTY_CELL]</td></tr><tr><td>Complementary feeding</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes<sup>®</sup></td><td>1</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>0.41</td><td>(0.171-0.983)</td><td>[EMPTY_CELL]</td></tr><tr><td>Weaning age<sup>1</sup></td><td>1.05</td><td>(1.018-1.100)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [6, 10, 42, 21]}, {\"cell\": \"<b>Adjusted OR<sup>2</sup></b>\", \"bbox\": [220, 4, 259, 27]}, {\"cell\": \"<b>(95% CI)<sup>3</sup></b>\", \"bbox\": [293, 9, 335, 21]}, {\"cell\": \"<b>p value</b>\", \"bbox\": [384, 10, 417, 21]}, {\"cell\": \"Residence\", \"bbox\": [6, 30, 49, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"City<sup>®</sup>\", \"bbox\": [15, 44, 39, 55]}, {\"cell\": \"1\", \"bbox\": [236, 44, 244, 55]}, {\"cell\": \"-\", \"bbox\": [312, 44, 317, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 44, 403, 55]}, {\"cell\": \"Village\", \"bbox\": [15, 58, 45, 69]}, {\"cell\": \"0.46\", \"bbox\": [230, 58, 250, 69]}, {\"cell\": \"(0.189-1.156)\", \"bbox\": [285, 58, 343, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 58, 413, 69]}, {\"cell\": \"Camp\", \"bbox\": [15, 72, 42, 83]}, {\"cell\": \"0.03\", \"bbox\": [230, 72, 250, 83]}, {\"cell\": \"(0.005-0.326)\", \"bbox\": [285, 72, 343, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 72, 417, 83]}, {\"cell\": \"Family income (US$)\", \"bbox\": [6, 86, 96, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Less than 485<sup>®</sup>\", \"bbox\": [15, 100, 78, 112]}, {\"cell\": \"1\", \"bbox\": [236, 100, 244, 112]}, {\"cell\": \"-\", \"bbox\": [312, 100, 317, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 100, 403, 112]}, {\"cell\": \"(485-620)\", \"bbox\": [15, 115, 57, 126]}, {\"cell\": \"0.19\", \"bbox\": [230, 115, 250, 126]}, {\"cell\": \"(0.057-0.644)\", \"bbox\": [287, 115, 344, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 115, 417, 126]}, {\"cell\": \"More than 620\", \"bbox\": [15, 129, 79, 140]}, {\"cell\": \"0.86\", \"bbox\": [230, 129, 250, 140]}, {\"cell\": \"(0.226-3.311)\", \"bbox\": [287, 129, 344, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 129, 413, 140]}, {\"cell\": \"No income\", \"bbox\": [15, 143, 63, 154]}, {\"cell\": \"0.31\", \"bbox\": [230, 143, 250, 154]}, {\"cell\": \"(0.102-0.950)\", \"bbox\": [287, 143, 344, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [387, 143, 414, 154]}, {\"cell\": \"Complementary feeding\", \"bbox\": [6, 157, 110, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes<sup>®</sup>\", \"bbox\": [15, 171, 34, 183]}, {\"cell\": \"1\", \"bbox\": [236, 171, 244, 183]}, {\"cell\": \"-\", \"bbox\": [312, 171, 317, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 171, 403, 183]}, {\"cell\": \"No\", \"bbox\": [15, 185, 29, 197]}, {\"cell\": \"0.41\", \"bbox\": [230, 185, 250, 197]}, {\"cell\": \"(0.171-0.983)\", \"bbox\": [285, 185, 343, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [386, 185, 415, 197]}, {\"cell\": \"Weaning age<sup>1</sup>\", \"bbox\": [6, 199, 65, 211]}, {\"cell\": \"1.05\", \"bbox\": [230, 200, 250, 211]}, {\"cell\": \"(1.018-1.100)\", \"bbox\": [287, 200, 344, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 200, 417, 211]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4438643_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}581{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>MRgFUS</b></td><td><b>UAE</b></td><td><b>Myomectomy</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>(n = 14)</b></td><td><b>(n = 4,092)</b></td><td><b>(n = 10,320)</b></td></tr></thead><tbody><tr><td><b>Unadjusted costs</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Baseline</td><td>[EMPTY_CELL]</td><td>$6,377</td><td>$6,241</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($6,107, $6,648)</td><td>($6,016, $6,465)</td></tr><tr><td>Operative year (pre-, peri- and post-operative costs)</td><td>[EMPTY_CELL]</td><td>$18,638</td><td>$16,879</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($17,943, $19,332)</td><td>($16,592, $17,167)</td></tr><tr><td> Pre-operative</td><td>[EMPTY_CELL]</td><td>$786</td><td>$558</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($707, $866)</td><td>($521, $595)</td></tr><tr><td> Peri-operative</td><td>[EMPTY_CELL]</td><td>$11,444</td><td>$10,555</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($11,038, $11,849)</td><td>($10,389, $10,721)</td></tr><tr><td> Post-operative</td><td>[EMPTY_CELL]</td><td>$6,408</td><td>$5,766</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($5,924, $6,891)</td><td>($5,550, $5,982)</td></tr><tr><td rowspan=\\\"2\\\">Change in costs from baseline to operative year</td><td>[EMPTY_CELL]</td><td>$12,260</td><td>$10,638</td></tr><tr><td>(−$5,294, $17,608)</td><td>[EMPTY_CELL]</td><td>($10,351, $10,925)</td></tr><tr><td><b>Regression adjusted costs</b><sup><b>*</b></sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Baseline</td><td>[EMPTY_CELL]</td><td>$8,048</td><td>$6,991</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($7,673, $8,439)</td><td>($6,691, $7,302)</td></tr><tr><td>Operative year (pre-, peri- and post-operative costs)</td><td>[EMPTY_CELL]</td><td>$25,019</td><td>$20,407</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($23,738, $26,376)</td><td>($19,483, $21,381)</td></tr><tr><td> Pre-operative</td><td>[EMPTY_CELL]</td><td>$1,040</td><td>$629</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($779, $1,388)</td><td>($485, $815)</td></tr><tr><td> Peri-operative</td><td>[EMPTY_CELL]</td><td>$16,261</td><td>$13,938</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($11,799, $22,400)</td><td>($10,330, $18,808)</td></tr><tr><td> Post-operative</td><td>[EMPTY_CELL]</td><td>$7,718</td><td>$5,840</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($7,122, $8,372)</td><td>($5,427, $6,279)</td></tr><tr><td>Change in costs from baseline to operative year</td><td>[EMPTY_CELL]</td><td>$16,971</td><td>$13,416</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>($15,636, $18,306)</td><td>($12,445, $14,387)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MRgFUS</b>\", \"bbox\": [215, 4, 246, 13]}, {\"cell\": \"<b>UAE</b>\", \"bbox\": [321, 4, 337, 13]}, {\"cell\": \"<b>Myomectomy</b>\", \"bbox\": [426, 4, 475, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>(n = 14)</b>\", \"bbox\": [215, 17, 242, 27]}, {\"cell\": \"<b>(n = 4,092)</b>\", \"bbox\": [321, 17, 359, 27]}, {\"cell\": \"<b>(n = 10,320)</b>\", \"bbox\": [426, 17, 468, 27]}, {\"cell\": \"<b>Unadjusted costs</b>\", \"bbox\": [1, 30, 62, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [1, 44, 28, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 44, 241, 54]}, {\"cell\": \"$6,377\", \"bbox\": [321, 44, 343, 54]}, {\"cell\": \"$6,241\", \"bbox\": [426, 44, 448, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 58, 269, 68]}, {\"cell\": \"($6,107, $6,648)\", \"bbox\": [321, 58, 372, 68]}, {\"cell\": \"($6,016, $6,465)\", \"bbox\": [426, 58, 477, 68]}, {\"cell\": \"Operative year (pre-, peri- and post-operative costs)\", \"bbox\": [1, 72, 168, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 72, 241, 82]}, {\"cell\": \"$18,638\", \"bbox\": [321, 72, 347, 82]}, {\"cell\": \"$16,879\", \"bbox\": [426, 72, 452, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 86, 273, 96]}, {\"cell\": \"($17,943, $19,332)\", \"bbox\": [321, 86, 379, 96]}, {\"cell\": \"($16,592, $17,167)\", \"bbox\": [426, 86, 484, 96]}, {\"cell\": \" Pre-operative\", \"bbox\": [8, 100, 53, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 100, 232, 110]}, {\"cell\": \"$786\", \"bbox\": [321, 100, 338, 110]}, {\"cell\": \"$558\", \"bbox\": [426, 100, 443, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 114, 256, 124]}, {\"cell\": \"($707, $866)\", \"bbox\": [321, 114, 361, 124]}, {\"cell\": \"($521, $595)\", \"bbox\": [426, 114, 466, 124]}, {\"cell\": \" Peri-operative\", \"bbox\": [8, 128, 54, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 128, 237, 138]}, {\"cell\": \"$11,444\", \"bbox\": [321, 128, 347, 138]}, {\"cell\": \"$10,555\", \"bbox\": [426, 128, 452, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 142, 269, 152]}, {\"cell\": \"($11,038, $11,849)\", \"bbox\": [321, 142, 379, 152]}, {\"cell\": \"($10,389, $10,721)\", \"bbox\": [426, 142, 484, 152]}, {\"cell\": \" Post-operative\", \"bbox\": [8, 156, 56, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 156, 241, 166]}, {\"cell\": \"$6,408\", \"bbox\": [321, 156, 343, 166]}, {\"cell\": \"$5,766\", \"bbox\": [426, 156, 448, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 170, 269, 180]}, {\"cell\": \"($5,924, $6,891)\", \"bbox\": [321, 170, 372, 180]}, {\"cell\": \"($5,550, $5,982)\", \"bbox\": [426, 170, 477, 180]}, {\"cell\": \"Change in costs from baseline to operative year\", \"bbox\": [1, 184, 157, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 184, 237, 194]}, {\"cell\": \"$12,260\", \"bbox\": [321, 184, 347, 194]}, {\"cell\": \"$10,638\", \"bbox\": [426, 184, 452, 194]}, {\"cell\": \"(−$5,294, $17,608)\", \"bbox\": [215, 198, 274, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 198, 379, 208]}, {\"cell\": \"($10,351, $10,925)\", \"bbox\": [426, 198, 484, 208]}, {\"cell\": \"<b>Regression adjusted costs</b><sup><b>*</b></sup>\", \"bbox\": [1, 211, 95, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Baseline\", \"bbox\": [1, 226, 28, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 226, 237, 236]}, {\"cell\": \"$8,048\", \"bbox\": [321, 226, 343, 236]}, {\"cell\": \"$6,991\", \"bbox\": [426, 226, 448, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 240, 269, 250]}, {\"cell\": \"($7,673, $8,439)\", \"bbox\": [321, 240, 372, 250]}, {\"cell\": \"($6,691, $7,302)\", \"bbox\": [426, 240, 477, 250]}, {\"cell\": \"Operative year (pre-, peri- and post-operative costs)\", \"bbox\": [1, 254, 168, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 254, 241, 264]}, {\"cell\": \"$25,019\", \"bbox\": [321, 254, 347, 264]}, {\"cell\": \"$20,407\", \"bbox\": [426, 254, 452, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 268, 273, 278]}, {\"cell\": \"($23,738, $26,376)\", \"bbox\": [321, 268, 379, 278]}, {\"cell\": \"($19,483, $21,381)\", \"bbox\": [426, 268, 484, 278]}, {\"cell\": \" Pre-operative\", \"bbox\": [8, 282, 53, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 282, 232, 292]}, {\"cell\": \"$1,040\", \"bbox\": [321, 282, 343, 292]}, {\"cell\": \"$629\", \"bbox\": [426, 282, 443, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 296, 256, 306]}, {\"cell\": \"($779, $1,388)\", \"bbox\": [321, 296, 366, 306]}, {\"cell\": \"($485, $815)\", \"bbox\": [426, 296, 466, 306]}, {\"cell\": \" Peri-operative\", \"bbox\": [8, 310, 54, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 310, 237, 320]}, {\"cell\": \"$16,261\", \"bbox\": [321, 310, 347, 320]}, {\"cell\": \"$13,938\", \"bbox\": [426, 310, 452, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 324, 264, 334]}, {\"cell\": \"($11,799, $22,400)\", \"bbox\": [321, 324, 379, 334]}, {\"cell\": \"($10,330, $18,808)\", \"bbox\": [426, 324, 484, 334]}, {\"cell\": \" Post-operative\", \"bbox\": [8, 338, 56, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 338, 241, 348]}, {\"cell\": \"$7,718\", \"bbox\": [321, 338, 343, 348]}, {\"cell\": \"$5,840\", \"bbox\": [426, 338, 448, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 352, 269, 362]}, {\"cell\": \"($7,122, $8,372)\", \"bbox\": [321, 352, 372, 362]}, {\"cell\": \"($5,427, $6,279)\", \"bbox\": [426, 352, 477, 362]}, {\"cell\": \"Change in costs from baseline to operative year\", \"bbox\": [1, 366, 157, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 366, 237, 376]}, {\"cell\": \"$16,971\", \"bbox\": [321, 366, 347, 376]}, {\"cell\": \"$13,416\", \"bbox\": [426, 366, 452, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 380, 269, 390]}, {\"cell\": \"($15,636, $18,306)\", \"bbox\": [321, 380, 379, 390]}, {\"cell\": \"($12,445, $14,387)\", \"bbox\": [426, 380, 484, 390]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4265990_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}582{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b><i>Case</i></b></td><td rowspan=\\\"2\\\"><b><i>Brain weight (g)*</i></b></td><td rowspan=\\\"2\\\"><b><i>Infarction</i></b></td><td colspan=\\\"2\\\"><b><i>Aβ pathology</i></b></td><td rowspan=\\\"2\\\"><b><i>Tau pathology</i></b></td><td rowspan=\\\"2\\\"><b><i>Lewy body pathology</i></b></td><td rowspan=\\\"2\\\"><b><i>SVD</i></b></td><td rowspan=\\\"2\\\"><b><i>CAA</i></b></td><td rowspan=\\\"2\\\"><b><i>Final neuropathological diagnosis*</i></b></td></tr><tr><td><b><i>D</i></b></td><td><b><i>M</i></b></td></tr></thead><tbody><tr><td rowspan=\\\"5\\\">1</td><td rowspan=\\\"5\\\">N/A</td><td rowspan=\\\"5\\\">-</td><td rowspan=\\\"5\\\">+</td><td rowspan=\\\"5\\\">-</td><td rowspan=\\\"5\\\">-</td><td rowspan=\\\"5\\\">-</td><td rowspan=\\\"5\\\">+</td><td rowspan=\\\"5\\\">-</td><td>[EMPTY_CELL]</td></tr><tr><td>• mild neuronal loss and gliosis in hippocampus between the CA1 region and the subiculum</td></tr><tr><td>• mild loss of Purkinje cells in the cerebellum</td></tr><tr><td>• mineralization of vessel walls in the dentate nucleus</td></tr><tr><td>• non-specific neurodegenerative changes</td></tr><tr><td rowspan=\\\"3\\\">2</td><td rowspan=\\\"3\\\">1110</td><td rowspan=\\\"3\\\">globus pallidus</td><td rowspan=\\\"3\\\">+</td><td rowspan=\\\"3\\\">+</td><td rowspan=\\\"3\\\">-</td><td rowspan=\\\"3\\\">-</td><td rowspan=\\\"3\\\">+++</td><td rowspan=\\\"3\\\">+</td><td>[EMPTY_CELL]</td></tr><tr><td>• right middle cerebral artery territory subacute infarct</td></tr><tr><td>• possible AD</td></tr><tr><td rowspan=\\\"3\\\">3</td><td rowspan=\\\"3\\\">1200</td><td rowspan=\\\"3\\\">-</td><td rowspan=\\\"3\\\">-</td><td rowspan=\\\"3\\\">-</td><td rowspan=\\\"3\\\">-</td><td rowspan=\\\"3\\\">-</td><td rowspan=\\\"3\\\">-</td><td rowspan=\\\"3\\\">-</td><td>[EMPTY_CELL]</td></tr><tr><td>• small areas of infarction</td></tr><tr><td>• cerebral athero-arterio-arteriolosclerosis, remote frontal white matter infarct</td></tr><tr><td rowspan=\\\"2\\\">4</td><td rowspan=\\\"2\\\">1010</td><td rowspan=\\\"2\\\">globus pallidus</td><td rowspan=\\\"2\\\">+++</td><td rowspan=\\\"2\\\">++</td><td rowspan=\\\"2\\\">+ (cortex, striatum and brainstem)</td><td rowspan=\\\"2\\\">-</td><td rowspan=\\\"2\\\">+</td><td rowspan=\\\"2\\\">++</td><td>[EMPTY_CELL]</td></tr><tr><td>• hippocampal sclerosis</td></tr><tr><td rowspan=\\\"2\\\">5</td><td rowspan=\\\"2\\\">N/A</td><td rowspan=\\\"2\\\">midbrain tegmentum</td><td rowspan=\\\"2\\\">++</td><td rowspan=\\\"2\\\">++</td><td rowspan=\\\"2\\\">+ (cortex, striatum and brainstem)</td><td rowspan=\\\"2\\\">++ (cortical and brainstem)</td><td rowspan=\\\"2\\\">+</td><td rowspan=\\\"2\\\">-</td><td>[EMPTY_CELL]</td></tr><tr><td>• cerebrovascular disease (a)numerous infartcs of different ages (b) atherosclerotic disease of circle of Willis arteries</td></tr><tr><td rowspan=\\\"2\\\">6</td><td rowspan=\\\"2\\\">1184</td><td rowspan=\\\"2\\\">-</td><td rowspan=\\\"2\\\">++</td><td rowspan=\\\"2\\\">+</td><td rowspan=\\\"2\\\">+ (cortex, striatum and brainstem)</td><td rowspan=\\\"2\\\">-</td><td rowspan=\\\"2\\\">+</td><td rowspan=\\\"2\\\">+</td><td>[EMPTY_CELL]</td></tr><tr><td>• focal acute (perimortem) petechial hemorrhages</td></tr><tr><td>7</td><td>N/A</td><td>-</td><td>-</td><td>-</td><td>+ (brainstem)</td><td>+ (substantia nigra)</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Case</i></b>\", \"bbox\": [1, 4, 18, 14]}, {\"cell\": \"<b><i>Brain weight (g)*</i></b>\", \"bbox\": [25, 4, 65, 23]}, {\"cell\": \"<b><i>Infarction</i></b>\", \"bbox\": [72, 4, 106, 14]}, {\"cell\": \"<b><i>Aβ pathology</i></b>\", \"bbox\": [150, 4, 198, 14]}, {\"cell\": \"<b><i>Tau pathology</i></b>\", \"bbox\": [208, 4, 259, 14]}, {\"cell\": \"<b><i>Lewy body pathology</i></b>\", \"bbox\": [327, 4, 401, 14]}, {\"cell\": \"<b><i>SVD</i></b>\", \"bbox\": [424, 4, 440, 14]}, {\"cell\": \"<b><i>CAA</i></b>\", \"bbox\": [447, 4, 463, 14]}, {\"cell\": \"<b><i>Final neuropathological diagnosis*</i></b>\", \"bbox\": [470, 4, 590, 14]}, {\"cell\": \"<b><i>D</i></b>\", \"bbox\": [150, 18, 158, 27]}, {\"cell\": \"<b><i>M</i></b>\", \"bbox\": [182, 18, 190, 27]}, {\"cell\": \"1\", \"bbox\": [0, 31, 6, 40]}, {\"cell\": \"N/A\", \"bbox\": [25, 31, 40, 40]}, {\"cell\": \"-\", \"bbox\": [72, 31, 76, 40]}, {\"cell\": \"+\", \"bbox\": [150, 31, 157, 40]}, {\"cell\": \"-\", \"bbox\": [182, 31, 186, 40]}, {\"cell\": \"-\", \"bbox\": [208, 31, 213, 40]}, {\"cell\": \"-\", \"bbox\": [327, 31, 331, 40]}, {\"cell\": \"+\", \"bbox\": [424, 31, 431, 40]}, {\"cell\": \"-\", \"bbox\": [447, 31, 452, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 31, 617, 40]}, {\"cell\": \"• mild neuronal loss and gliosis in hippocampus between the CA1 region and the subiculum\", \"bbox\": [470, 45, 626, 63]}, {\"cell\": \"• mild loss of Purkinje cells in the cerebellum\", \"bbox\": [470, 68, 616, 77]}, {\"cell\": \"• mineralization of vessel walls in the dentate nucleus\", \"bbox\": [470, 82, 644, 91]}, {\"cell\": \"• non-specific neurodegenerative changes\", \"bbox\": [470, 96, 607, 105]}, {\"cell\": \"2\", \"bbox\": [0, 110, 6, 119]}, {\"cell\": \"1110\", \"bbox\": [25, 110, 43, 119]}, {\"cell\": \"globus pallidus\", \"bbox\": [72, 110, 122, 119]}, {\"cell\": \"+\", \"bbox\": [150, 110, 157, 119]}, {\"cell\": \"+\", \"bbox\": [182, 110, 189, 119]}, {\"cell\": \"-\", \"bbox\": [208, 110, 213, 119]}, {\"cell\": \"-\", \"bbox\": [327, 110, 331, 119]}, {\"cell\": \"+++\", \"bbox\": [424, 110, 440, 119]}, {\"cell\": \"+\", \"bbox\": [447, 110, 454, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 110, 588, 119]}, {\"cell\": \"• right middle cerebral artery territory subacute infarct\", \"bbox\": [470, 124, 645, 133]}, {\"cell\": \"• possible AD\", \"bbox\": [470, 138, 515, 147]}, {\"cell\": \"3\", \"bbox\": [0, 152, 6, 161]}, {\"cell\": \"1200\", \"bbox\": [25, 152, 43, 161]}, {\"cell\": \"-\", \"bbox\": [72, 152, 76, 161]}, {\"cell\": \"-\", \"bbox\": [150, 152, 155, 161]}, {\"cell\": \"-\", \"bbox\": [182, 152, 186, 161]}, {\"cell\": \"-\", \"bbox\": [208, 152, 213, 161]}, {\"cell\": \"-\", \"bbox\": [327, 152, 331, 161]}, {\"cell\": \"-\", \"bbox\": [424, 152, 428, 161]}, {\"cell\": \"-\", \"bbox\": [447, 152, 452, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 152, 543, 161]}, {\"cell\": \"• small areas of infarction\", \"bbox\": [470, 166, 553, 175]}, {\"cell\": \"• cerebral athero-arterio-arteriolosclerosis, remote frontal white matter infarct\", \"bbox\": [470, 180, 629, 198]}, {\"cell\": \"4\", \"bbox\": [0, 203, 6, 212]}, {\"cell\": \"1010\", \"bbox\": [25, 203, 43, 212]}, {\"cell\": \"globus pallidus\", \"bbox\": [72, 203, 122, 212]}, {\"cell\": \"+++\", \"bbox\": [150, 203, 167, 212]}, {\"cell\": \"++\", \"bbox\": [182, 203, 193, 212]}, {\"cell\": \"+ (cortex, striatum and brainstem)\", \"bbox\": [208, 203, 320, 212]}, {\"cell\": \"-\", \"bbox\": [327, 203, 331, 212]}, {\"cell\": \"+\", \"bbox\": [424, 203, 431, 212]}, {\"cell\": \"++\", \"bbox\": [447, 203, 459, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 203, 637, 239]}, {\"cell\": \"• hippocampal sclerosis\", \"bbox\": [470, 244, 547, 253]}, {\"cell\": \"5\", \"bbox\": [0, 258, 6, 267]}, {\"cell\": \"N/A\", \"bbox\": [25, 258, 40, 267]}, {\"cell\": \"midbrain tegmentum\", \"bbox\": [72, 258, 143, 267]}, {\"cell\": \"++\", \"bbox\": [150, 258, 162, 267]}, {\"cell\": \"++\", \"bbox\": [182, 258, 193, 267]}, {\"cell\": \"+ (cortex, striatum and brainstem)\", \"bbox\": [208, 258, 320, 267]}, {\"cell\": \"++ (cortical and brainstem)\", \"bbox\": [327, 258, 417, 267]}, {\"cell\": \"+\", \"bbox\": [424, 258, 431, 267]}, {\"cell\": \"-\", \"bbox\": [447, 258, 452, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 258, 642, 276]}, {\"cell\": \"• cerebrovascular disease (a)numerous infartcs of different ages (b) atherosclerotic disease of circle of Willis arteries\", \"bbox\": [470, 281, 633, 308]}, {\"cell\": \"6\", \"bbox\": [0, 313, 6, 322]}, {\"cell\": \"1184\", \"bbox\": [25, 313, 43, 322]}, {\"cell\": \"-\", \"bbox\": [72, 313, 76, 322]}, {\"cell\": \"++\", \"bbox\": [150, 313, 162, 322]}, {\"cell\": \"+\", \"bbox\": [182, 313, 189, 322]}, {\"cell\": \"+ (cortex, striatum and brainstem)\", \"bbox\": [208, 313, 320, 322]}, {\"cell\": \"-\", \"bbox\": [327, 313, 331, 322]}, {\"cell\": \"+\", \"bbox\": [424, 313, 431, 322]}, {\"cell\": \"+\", \"bbox\": [447, 313, 454, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 313, 559, 322]}, {\"cell\": \"• focal acute (perimortem) petechial hemorrhages\", \"bbox\": [470, 327, 632, 336]}, {\"cell\": \"7\", \"bbox\": [0, 341, 6, 350]}, {\"cell\": \"N/A\", \"bbox\": [25, 341, 40, 350]}, {\"cell\": \"-\", \"bbox\": [72, 341, 76, 350]}, {\"cell\": \"-\", \"bbox\": [150, 341, 155, 350]}, {\"cell\": \"-\", \"bbox\": [182, 341, 186, 350]}, {\"cell\": \"+ (brainstem)\", \"bbox\": [208, 341, 253, 350]}, {\"cell\": \"+ (substantia nigra)\", \"bbox\": [327, 341, 391, 350]}, {\"cell\": \"-\", \"bbox\": [424, 341, 428, 350]}, {\"cell\": \"-\", \"bbox\": [447, 341, 452, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 341, 641, 359]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4247124_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}583{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"5\\\"><b>Haplotypes</b></td><td rowspan=\\\"2\\\"><b>Cases</b></td><td rowspan=\\\"2\\\"><b>Controls</b></td><td rowspan=\\\"2\\\"><b>ORs (95% CI)</b></td><td rowspan=\\\"2\\\"><b><i>p</i></b></td></tr><tr><td><b>rs3758644</b></td><td><b>rs7102273</b></td><td><b>rs4930588</b></td><td><b>rs12363572</b></td><td><b>rs11228303</b></td></tr></thead><tbody><tr><td>1</td><td>A</td><td>T</td><td>T</td><td>C</td><td>[EMPTY_CELL]</td><td>52 (1.44)</td><td>182 (1.20)</td><td>1.209 (0.887–1.649)</td><td>0.229</td></tr><tr><td>2</td><td>G</td><td>C</td><td>G</td><td>C</td><td>[EMPTY_CELL]</td><td>364 (10.07)</td><td>1558 (10.26)</td><td>0.981 (0.870–1.106)</td><td>0.754</td></tr><tr><td>3</td><td>G</td><td>C</td><td>G</td><td>C</td><td>[EMPTY_CELL]</td><td>35 (0.97)</td><td>107 (0.70)</td><td>1.389 (0.947–2.036)</td><td>0.091</td></tr><tr><td>4</td><td>G</td><td>C</td><td>G</td><td>T</td><td>[EMPTY_CELL]</td><td>15 (0.41)</td><td>63 (0.41)</td><td>1.014 (0.579–1.778)</td><td>0.960</td></tr><tr><td>5</td><td>G</td><td>C</td><td>T</td><td>C</td><td>[EMPTY_CELL]</td><td>286 (7.90)</td><td>1031 (6.78)</td><td>1.182 (1.031–1.354)</td><td>0.016</td></tr><tr><td>6</td><td>G</td><td>C</td><td>T</td><td>C</td><td>[EMPTY_CELL]</td><td>23 (0.64)</td><td>82 (0.54)</td><td>1.162 (0.729–1.852)</td><td>0.528</td></tr><tr><td>7</td><td>G</td><td>C</td><td>T</td><td>T</td><td>[EMPTY_CELL]</td><td>120 (3.32)</td><td>712 (4.68)</td><td>0.701 (0.576–0.853)</td><td>0.001</td></tr><tr><td>8</td><td>G</td><td>C</td><td>T</td><td>T</td><td>[EMPTY_CELL]</td><td>8 (0.22)</td><td>51 (0.34)</td><td>0.667 (0.325–1.414)</td><td>0.297</td></tr><tr><td>9</td><td>G</td><td>T</td><td>G</td><td>C</td><td>[EMPTY_CELL]</td><td>101 (2.79)</td><td>365 (2.40)</td><td>1.175 (0.940–1.469)</td><td>0.156</td></tr><tr><td>10</td><td>G</td><td>T</td><td>T</td><td>C</td><td>[EMPTY_CELL]</td><td>2362 (65.28)</td><td>10,047 (66.10)</td><td>0.967 (0.896–1.044)</td><td>0.387</td></tr><tr><td>11</td><td>G</td><td>T</td><td>T</td><td>C</td><td>[EMPTY_CELL]</td><td>157 (4.34)</td><td>662 (4.36)</td><td>0.996 (0.833–1.190)</td><td>0.963</td></tr><tr><td>12</td><td>G</td><td>T</td><td>T</td><td>T</td><td>[EMPTY_CELL]</td><td>88 (2.43)</td><td>310 (2.04)</td><td>1.193 (0.938–1.517)</td><td>0.149</td></tr><tr><td>13</td><td>G</td><td>T</td><td>T</td><td>T</td><td>[EMPTY_CELL]</td><td>7 (0.19)</td><td>29 (0.19)</td><td>1.087 (0.482–2.450)</td><td>0.840</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Haplotypes</b>\", \"bbox\": [127, 8, 168, 17]}, {\"cell\": \"<b>Cases</b>\", \"bbox\": [289, 16, 311, 25]}, {\"cell\": \"<b>Controls</b>\", \"bbox\": [341, 16, 372, 25]}, {\"cell\": \"<b>ORs (95% CI)</b>\", \"bbox\": [398, 16, 450, 25]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [478, 16, 484, 25]}, {\"cell\": \"<b>rs3758644</b>\", \"bbox\": [30, 24, 67, 33]}, {\"cell\": \"<b>rs7102273</b>\", \"bbox\": [80, 24, 116, 33]}, {\"cell\": \"<b>rs4930588</b>\", \"bbox\": [129, 24, 166, 33]}, {\"cell\": \"<b>rs12363572</b>\", \"bbox\": [177, 24, 217, 33]}, {\"cell\": \"<b>rs11228303</b>\", \"bbox\": [226, 24, 267, 33]}, {\"cell\": \"1\", \"bbox\": [10, 39, 16, 48]}, {\"cell\": \"A\", \"bbox\": [44, 39, 52, 48]}, {\"cell\": \"T\", \"bbox\": [94, 39, 101, 48]}, {\"cell\": \"T\", \"bbox\": [144, 39, 151, 48]}, {\"cell\": \"C\", \"bbox\": [193, 39, 201, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 39, 250, 48]}, {\"cell\": \"52 (1.44)\", \"bbox\": [285, 39, 315, 48]}, {\"cell\": \"182 (1.20)\", \"bbox\": [339, 39, 374, 48]}, {\"cell\": \"1.209 (0.887–1.649)\", \"bbox\": [390, 36, 458, 49]}, {\"cell\": \"0.229\", \"bbox\": [471, 39, 491, 48]}, {\"cell\": \"2\", \"bbox\": [10, 54, 16, 63]}, {\"cell\": \"G\", \"bbox\": [44, 54, 52, 63]}, {\"cell\": \"C\", \"bbox\": [94, 54, 102, 63]}, {\"cell\": \"G\", \"bbox\": [144, 54, 151, 63]}, {\"cell\": \"C\", \"bbox\": [193, 54, 201, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 54, 250, 63]}, {\"cell\": \"364 (10.07)\", \"bbox\": [281, 54, 319, 63]}, {\"cell\": \"1558 (10.26)\", \"bbox\": [336, 54, 378, 63]}, {\"cell\": \"0.981 (0.870–1.106)\", \"bbox\": [390, 51, 458, 64]}, {\"cell\": \"0.754\", \"bbox\": [471, 54, 491, 63]}, {\"cell\": \"3\", \"bbox\": [10, 69, 16, 78]}, {\"cell\": \"G\", \"bbox\": [44, 69, 52, 78]}, {\"cell\": \"C\", \"bbox\": [94, 69, 102, 78]}, {\"cell\": \"G\", \"bbox\": [144, 69, 151, 78]}, {\"cell\": \"C\", \"bbox\": [193, 69, 201, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 69, 250, 78]}, {\"cell\": \"35 (0.97)\", \"bbox\": [285, 69, 315, 78]}, {\"cell\": \"107 (0.70)\", \"bbox\": [339, 69, 374, 78]}, {\"cell\": \"1.389 (0.947–2.036)\", \"bbox\": [390, 66, 458, 79]}, {\"cell\": \"0.091\", \"bbox\": [471, 69, 491, 78]}, {\"cell\": \"4\", \"bbox\": [10, 84, 16, 93]}, {\"cell\": \"G\", \"bbox\": [44, 84, 52, 93]}, {\"cell\": \"C\", \"bbox\": [94, 84, 102, 93]}, {\"cell\": \"G\", \"bbox\": [144, 84, 151, 93]}, {\"cell\": \"T\", \"bbox\": [194, 84, 201, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 84, 250, 93]}, {\"cell\": \"15 (0.41)\", \"bbox\": [285, 84, 315, 93]}, {\"cell\": \"63 (0.41)\", \"bbox\": [341, 84, 372, 93]}, {\"cell\": \"1.014 (0.579–1.778)\", \"bbox\": [390, 81, 458, 94]}, {\"cell\": \"0.960\", \"bbox\": [471, 84, 491, 93]}, {\"cell\": \"5\", \"bbox\": [10, 99, 16, 108]}, {\"cell\": \"G\", \"bbox\": [44, 99, 52, 108]}, {\"cell\": \"C\", \"bbox\": [94, 99, 102, 108]}, {\"cell\": \"T\", \"bbox\": [144, 99, 151, 108]}, {\"cell\": \"C\", \"bbox\": [193, 99, 201, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 99, 250, 108]}, {\"cell\": \"286 (7.90)\", \"bbox\": [283, 99, 317, 108]}, {\"cell\": \"1031 (6.78)\", \"bbox\": [338, 99, 376, 108]}, {\"cell\": \"1.182 (1.031–1.354)\", \"bbox\": [390, 96, 458, 109]}, {\"cell\": \"0.016\", \"bbox\": [471, 99, 491, 108]}, {\"cell\": \"6\", \"bbox\": [10, 114, 16, 123]}, {\"cell\": \"G\", \"bbox\": [44, 114, 52, 123]}, {\"cell\": \"C\", \"bbox\": [94, 114, 102, 123]}, {\"cell\": \"T\", \"bbox\": [144, 114, 151, 123]}, {\"cell\": \"C\", \"bbox\": [193, 114, 201, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 114, 250, 123]}, {\"cell\": \"23 (0.64)\", \"bbox\": [285, 114, 315, 123]}, {\"cell\": \"82 (0.54)\", \"bbox\": [341, 114, 372, 123]}, {\"cell\": \"1.162 (0.729–1.852)\", \"bbox\": [390, 111, 458, 124]}, {\"cell\": \"0.528\", \"bbox\": [471, 114, 491, 123]}, {\"cell\": \"7\", \"bbox\": [10, 129, 16, 138]}, {\"cell\": \"G\", \"bbox\": [44, 129, 52, 138]}, {\"cell\": \"C\", \"bbox\": [94, 129, 102, 138]}, {\"cell\": \"T\", \"bbox\": [144, 129, 151, 138]}, {\"cell\": \"T\", \"bbox\": [194, 129, 201, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 129, 250, 138]}, {\"cell\": \"120 (3.32)\", \"bbox\": [283, 129, 317, 138]}, {\"cell\": \"712 (4.68)\", \"bbox\": [339, 129, 374, 138]}, {\"cell\": \"0.701 (0.576–0.853)\", \"bbox\": [390, 126, 458, 139]}, {\"cell\": \"0.001\", \"bbox\": [471, 129, 491, 138]}, {\"cell\": \"8\", \"bbox\": [10, 144, 16, 153]}, {\"cell\": \"G\", \"bbox\": [44, 144, 52, 153]}, {\"cell\": \"C\", \"bbox\": [94, 144, 102, 153]}, {\"cell\": \"T\", \"bbox\": [144, 144, 151, 153]}, {\"cell\": \"T\", \"bbox\": [194, 144, 201, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 144, 250, 153]}, {\"cell\": \"8 (0.22)\", \"bbox\": [287, 144, 313, 153]}, {\"cell\": \"51 (0.34)\", \"bbox\": [341, 144, 372, 153]}, {\"cell\": \"0.667 (0.325–1.414)\", \"bbox\": [390, 141, 458, 154]}, {\"cell\": \"0.297\", \"bbox\": [471, 144, 491, 153]}, {\"cell\": \"9\", \"bbox\": [10, 159, 16, 168]}, {\"cell\": \"G\", \"bbox\": [44, 159, 52, 168]}, {\"cell\": \"T\", \"bbox\": [94, 159, 101, 168]}, {\"cell\": \"G\", \"bbox\": [144, 159, 151, 168]}, {\"cell\": \"C\", \"bbox\": [193, 159, 201, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 159, 250, 168]}, {\"cell\": \"101 (2.79)\", \"bbox\": [283, 159, 317, 168]}, {\"cell\": \"365 (2.40)\", \"bbox\": [339, 159, 374, 168]}, {\"cell\": \"1.175 (0.940–1.469)\", \"bbox\": [390, 156, 458, 169]}, {\"cell\": \"0.156\", \"bbox\": [471, 159, 491, 168]}, {\"cell\": \"10\", \"bbox\": [8, 174, 18, 183]}, {\"cell\": \"G\", \"bbox\": [44, 174, 52, 183]}, {\"cell\": \"T\", \"bbox\": [94, 174, 101, 183]}, {\"cell\": \"T\", \"bbox\": [144, 174, 151, 183]}, {\"cell\": \"C\", \"bbox\": [193, 174, 201, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 174, 250, 183]}, {\"cell\": \"2362 (65.28)\", \"bbox\": [279, 174, 321, 183]}, {\"cell\": \"10,047 (66.10)\", \"bbox\": [333, 174, 380, 183]}, {\"cell\": \"0.967 (0.896–1.044)\", \"bbox\": [390, 171, 458, 184]}, {\"cell\": \"0.387\", \"bbox\": [471, 174, 491, 183]}, {\"cell\": \"11\", \"bbox\": [8, 189, 18, 198]}, {\"cell\": \"G\", \"bbox\": [44, 189, 52, 198]}, {\"cell\": \"T\", \"bbox\": [94, 189, 101, 198]}, {\"cell\": \"T\", \"bbox\": [144, 189, 151, 198]}, {\"cell\": \"C\", \"bbox\": [193, 189, 201, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 189, 250, 198]}, {\"cell\": \"157 (4.34)\", \"bbox\": [283, 189, 317, 198]}, {\"cell\": \"662 (4.36)\", \"bbox\": [339, 189, 374, 198]}, {\"cell\": \"0.996 (0.833–1.190)\", \"bbox\": [390, 186, 458, 199]}, {\"cell\": \"0.963\", \"bbox\": [471, 189, 491, 198]}, {\"cell\": \"12\", \"bbox\": [8, 204, 18, 213]}, {\"cell\": \"G\", \"bbox\": [44, 204, 52, 213]}, {\"cell\": \"T\", \"bbox\": [94, 204, 101, 213]}, {\"cell\": \"T\", \"bbox\": [144, 204, 151, 213]}, {\"cell\": \"T\", \"bbox\": [194, 204, 201, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 204, 250, 213]}, {\"cell\": \"88 (2.43)\", \"bbox\": [285, 204, 315, 213]}, {\"cell\": \"310 (2.04)\", \"bbox\": [339, 204, 374, 213]}, {\"cell\": \"1.193 (0.938–1.517)\", \"bbox\": [390, 201, 458, 214]}, {\"cell\": \"0.149\", \"bbox\": [471, 204, 491, 213]}, {\"cell\": \"13\", \"bbox\": [8, 219, 18, 228]}, {\"cell\": \"G\", \"bbox\": [44, 219, 52, 228]}, {\"cell\": \"T\", \"bbox\": [94, 219, 101, 228]}, {\"cell\": \"T\", \"bbox\": [144, 219, 151, 228]}, {\"cell\": \"T\", \"bbox\": [194, 219, 201, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 219, 250, 228]}, {\"cell\": \"7 (0.19)\", \"bbox\": [287, 219, 313, 228]}, {\"cell\": \"29 (0.19)\", \"bbox\": [341, 219, 372, 228]}, {\"cell\": \"1.087 (0.482–2.450)\", \"bbox\": [390, 216, 458, 229]}, {\"cell\": \"0.840\", \"bbox\": [471, 219, 491, 228]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4488812_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}584{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Antibiotics</b></td><td colspan=\\\"6\\\"><b>Resistance rate (%)</b></td></tr><tr><td colspan=\\\"5\\\"><b><i>Escherichia coli</i></b></td><td><b>Non-<i>E. coli</i></b></td></tr><tr><td><b>Animal (n = 400)</b></td><td><b>Non-imported food(n = 400)</b></td><td><b>Overseas food (n = 100)</b></td><td><b>Human(84)</b></td><td><b>Water(n = 50)</b></td><td><b>(n = 34)</b></td></tr></thead><tbody><tr><td><b>AMC</b></td><td><b>22</b></td><td>[EMPTY_CELL]</td><td><b>0</b></td><td><b>0</b></td><td><b>0</b></td><td><b>21</b></td></tr><tr><td>AMP</td><td>66</td><td>[EMPTY_CELL]</td><td>50</td><td>44</td><td>76</td><td>59</td></tr><tr><td>CRO</td><td>41</td><td>[EMPTY_CELL]</td><td>9</td><td>9</td><td>7</td><td>21</td></tr><tr><td>CTX</td><td>41</td><td>[EMPTY_CELL]</td><td>9</td><td>9</td><td>7</td><td>21</td></tr><tr><td>MRP</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>CIP</td><td>25</td><td>[EMPTY_CELL]</td><td>21</td><td>68</td><td>24</td><td>29</td></tr><tr><td>NAL</td><td>53</td><td>[EMPTY_CELL]</td><td>29</td><td>85</td><td>86</td><td>35</td></tr><tr><td>CLS</td><td>99</td><td>[EMPTY_CELL]</td><td>100</td><td>100</td><td>100</td><td>100</td></tr><tr><td>AMK</td><td>6</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>STR</td><td>72</td><td>[EMPTY_CELL]</td><td>59</td><td>29</td><td>17</td><td>29</td></tr><tr><td>CHL</td><td>49</td><td>[EMPTY_CELL]</td><td>38</td><td>0</td><td>69</td><td>41</td></tr><tr><td>KAN</td><td>63</td><td>[EMPTY_CELL]</td><td>21</td><td>12</td><td>76</td><td>41</td></tr><tr><td>TET</td><td>94</td><td>[EMPTY_CELL]</td><td>58</td><td>56</td><td>76</td><td>21</td></tr><tr><td>SXT</td><td>81</td><td>[EMPTY_CELL]</td><td>48</td><td>19</td><td>79</td><td>21</td></tr><tr><td>TIG</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>FOS</td><td>13</td><td>[EMPTY_CELL]</td><td>0</td><td>8</td><td>15</td><td>59</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Antibiotics</b>\", \"bbox\": [4, 30, 44, 40]}, {\"cell\": \"<b>Resistance rate (%)</b>\", \"bbox\": [313, 4, 384, 14]}, {\"cell\": \"<b><i>Escherichia coli</i></b>\", \"bbox\": [295, 17, 351, 25]}, {\"cell\": \"<b>Non-<i>E. coli</i></b>\", \"bbox\": [466, 17, 506, 26]}, {\"cell\": \"<b>Animal (n = 400)</b>\", \"bbox\": [188, 43, 247, 53]}, {\"cell\": \"<b>Non-imported food(n = 400)</b>\", \"bbox\": [258, 29, 309, 66]}, {\"cell\": \"<b>Overseas food (n = 100)</b>\", \"bbox\": [323, 38, 376, 57]}, {\"cell\": \"<b>Human(84)</b>\", \"bbox\": [388, 34, 415, 62]}, {\"cell\": \"<b>Water(n = 50)</b>\", \"bbox\": [427, 34, 454, 62]}, {\"cell\": \"<b>(n = 34)</b>\", \"bbox\": [472, 43, 500, 53]}, {\"cell\": \"<b>AMC</b>\", \"bbox\": [4, 70, 22, 79]}, {\"cell\": \"<b>22</b>\", \"bbox\": [212, 70, 223, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 70, 287, 79]}, {\"cell\": \"<b>0</b>\", \"bbox\": [346, 70, 353, 79]}, {\"cell\": \"<b>0</b>\", \"bbox\": [398, 70, 404, 79]}, {\"cell\": \"<b>0</b>\", \"bbox\": [438, 70, 444, 79]}, {\"cell\": \"<b>21</b>\", \"bbox\": [481, 70, 491, 79]}, {\"cell\": \"AMP\", \"bbox\": [4, 83, 22, 92]}, {\"cell\": \"66\", \"bbox\": [212, 83, 223, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 83, 289, 92]}, {\"cell\": \"50\", \"bbox\": [344, 83, 355, 92]}, {\"cell\": \"44\", \"bbox\": [396, 83, 407, 92]}, {\"cell\": \"76\", \"bbox\": [435, 83, 446, 92]}, {\"cell\": \"59\", \"bbox\": [481, 83, 491, 92]}, {\"cell\": \"CRO\", \"bbox\": [4, 95, 20, 105]}, {\"cell\": \"41\", \"bbox\": [212, 95, 222, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 95, 289, 105]}, {\"cell\": \"9\", \"bbox\": [346, 95, 353, 105]}, {\"cell\": \"9\", \"bbox\": [398, 95, 404, 105]}, {\"cell\": \"7\", \"bbox\": [438, 95, 444, 105]}, {\"cell\": \"21\", \"bbox\": [481, 95, 491, 105]}, {\"cell\": \"CTX\", \"bbox\": [4, 108, 19, 118]}, {\"cell\": \"41\", \"bbox\": [212, 108, 222, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 108, 289, 118]}, {\"cell\": \"9\", \"bbox\": [346, 108, 353, 118]}, {\"cell\": \"9\", \"bbox\": [398, 108, 404, 118]}, {\"cell\": \"7\", \"bbox\": [438, 108, 444, 118]}, {\"cell\": \"21\", \"bbox\": [481, 108, 491, 118]}, {\"cell\": \"MRP\", \"bbox\": [4, 121, 21, 130]}, {\"cell\": \"0\", \"bbox\": [214, 121, 221, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 121, 287, 130]}, {\"cell\": \"0\", \"bbox\": [346, 121, 353, 130]}, {\"cell\": \"0\", \"bbox\": [398, 121, 404, 130]}, {\"cell\": \"0\", \"bbox\": [438, 121, 444, 130]}, {\"cell\": \"0\", \"bbox\": [483, 121, 489, 130]}, {\"cell\": \"CIP\", \"bbox\": [4, 134, 17, 143]}, {\"cell\": \"25\", \"bbox\": [212, 134, 223, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 134, 289, 143]}, {\"cell\": \"21\", \"bbox\": [344, 134, 354, 143]}, {\"cell\": \"68\", \"bbox\": [395, 134, 407, 143]}, {\"cell\": \"24\", \"bbox\": [435, 134, 446, 143]}, {\"cell\": \"29\", \"bbox\": [480, 134, 491, 143]}, {\"cell\": \"NAL\", \"bbox\": [4, 147, 20, 156]}, {\"cell\": \"53\", \"bbox\": [212, 147, 223, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 147, 289, 156]}, {\"cell\": \"29\", \"bbox\": [344, 147, 355, 156]}, {\"cell\": \"85\", \"bbox\": [396, 147, 407, 156]}, {\"cell\": \"86\", \"bbox\": [435, 147, 447, 156]}, {\"cell\": \"35\", \"bbox\": [481, 147, 491, 156]}, {\"cell\": \"CLS\", \"bbox\": [4, 160, 19, 169]}, {\"cell\": \"99\", \"bbox\": [212, 160, 223, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 160, 289, 169]}, {\"cell\": \"100\", \"bbox\": [342, 160, 357, 169]}, {\"cell\": \"100\", \"bbox\": [394, 160, 409, 169]}, {\"cell\": \"100\", \"bbox\": [433, 160, 448, 169]}, {\"cell\": \"100\", \"bbox\": [478, 160, 493, 169]}, {\"cell\": \"AMK\", \"bbox\": [4, 172, 22, 182]}, {\"cell\": \"6\", \"bbox\": [214, 172, 221, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 172, 287, 182]}, {\"cell\": \"0\", \"bbox\": [346, 172, 353, 182]}, {\"cell\": \"0\", \"bbox\": [398, 172, 404, 182]}, {\"cell\": \"0\", \"bbox\": [438, 172, 444, 182]}, {\"cell\": \"0\", \"bbox\": [483, 172, 489, 182]}, {\"cell\": \"STR\", \"bbox\": [4, 185, 19, 195]}, {\"cell\": \"72\", \"bbox\": [212, 185, 223, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 185, 289, 195]}, {\"cell\": \"59\", \"bbox\": [344, 185, 355, 195]}, {\"cell\": \"29\", \"bbox\": [396, 185, 407, 195]}, {\"cell\": \"17\", \"bbox\": [436, 185, 445, 195]}, {\"cell\": \"29\", \"bbox\": [480, 185, 491, 195]}, {\"cell\": \"CHL\", \"bbox\": [4, 198, 19, 207]}, {\"cell\": \"49\", \"bbox\": [212, 198, 223, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 198, 289, 207]}, {\"cell\": \"38\", \"bbox\": [344, 198, 355, 207]}, {\"cell\": \"0\", \"bbox\": [398, 198, 404, 207]}, {\"cell\": \"69\", \"bbox\": [435, 198, 446, 207]}, {\"cell\": \"41\", \"bbox\": [481, 198, 491, 207]}, {\"cell\": \"KAN\", \"bbox\": [4, 211, 21, 220]}, {\"cell\": \"63\", \"bbox\": [212, 211, 223, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 211, 289, 220]}, {\"cell\": \"21\", \"bbox\": [344, 211, 354, 220]}, {\"cell\": \"12\", \"bbox\": [396, 211, 406, 220]}, {\"cell\": \"76\", \"bbox\": [435, 211, 446, 220]}, {\"cell\": \"41\", \"bbox\": [481, 211, 491, 220]}, {\"cell\": \"TET\", \"bbox\": [4, 224, 18, 233]}, {\"cell\": \"94\", \"bbox\": [212, 224, 223, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 224, 289, 233]}, {\"cell\": \"58\", \"bbox\": [344, 224, 355, 233]}, {\"cell\": \"56\", \"bbox\": [396, 224, 407, 233]}, {\"cell\": \"76\", \"bbox\": [435, 224, 446, 233]}, {\"cell\": \"21\", \"bbox\": [481, 224, 491, 233]}, {\"cell\": \"SXT\", \"bbox\": [4, 237, 19, 246]}, {\"cell\": \"81\", \"bbox\": [212, 237, 223, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 237, 289, 246]}, {\"cell\": \"48\", \"bbox\": [344, 237, 355, 246]}, {\"cell\": \"19\", \"bbox\": [396, 237, 406, 246]}, {\"cell\": \"79\", \"bbox\": [436, 237, 446, 246]}, {\"cell\": \"21\", \"bbox\": [481, 237, 491, 246]}, {\"cell\": \"TIG\", \"bbox\": [4, 249, 17, 259]}, {\"cell\": \"0\", \"bbox\": [214, 249, 221, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 249, 287, 259]}, {\"cell\": \"0\", \"bbox\": [346, 249, 353, 259]}, {\"cell\": \"0\", \"bbox\": [398, 249, 404, 259]}, {\"cell\": \"0\", \"bbox\": [438, 249, 444, 259]}, {\"cell\": \"0\", \"bbox\": [483, 249, 489, 259]}, {\"cell\": \"FOS\", \"bbox\": [4, 262, 20, 272]}, {\"cell\": \"13\", \"bbox\": [213, 262, 222, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 262, 286, 272]}, {\"cell\": \"0\", \"bbox\": [346, 262, 353, 272]}, {\"cell\": \"8\", \"bbox\": [398, 262, 405, 272]}, {\"cell\": \"15\", \"bbox\": [436, 262, 446, 272]}, {\"cell\": \"59\", \"bbox\": [481, 262, 491, 272]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5709956_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}585{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Epithelioid</b></td><td colspan=\\\"6\\\"><b>Non-epithelioid*</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>MSLN n = 230 (%)</b></td><td colspan=\\\"2\\\"><b>CA125 n = 226 (%)</b></td><td colspan=\\\"2\\\"><b>WT1 n = 226 (%)</b></td><td colspan=\\\"2\\\"><b>MSLN n = 49 (%)</b></td><td colspan=\\\"2\\\"><b>CA125 n = 49 (%)</b></td><td colspan=\\\"2\\\"><b>WT1 n = 49 (%)</b></td></tr></thead><tbody><tr><td><b>Expression</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <b>Positive</b></td><td>215</td><td>(93.5)</td><td>[EMPTY_CELL]</td><td>(74.8)</td><td>220</td><td>(97.3)</td><td>28</td><td>(57.1)</td><td>16</td><td>(32.7)</td><td>48</td><td>(98.0)</td></tr><tr><td> <b>Negative</b></td><td>15</td><td>(6.5)</td><td>[EMPTY_CELL]</td><td>(25.2)</td><td>6</td><td>(2.7)</td><td>21</td><td>(42.9)</td><td>33</td><td>(67.3)</td><td>1</td><td>(2.0)</td></tr><tr><td><b>Distribution</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <b>≥50%</b></td><td>193</td><td>(83.9)</td><td>[EMPTY_CELL]</td><td>(20.4)</td><td>162</td><td>(71.7)</td><td>12</td><td>(24.5)</td><td>3</td><td>(6.1)</td><td>22</td><td>(44.9)</td></tr><tr><td> <b><50%, >0%</b></td><td>22</td><td>(9.6)</td><td>[EMPTY_CELL]</td><td>(54.4)</td><td>58</td><td>(25.6)</td><td>16</td><td>(32.7)</td><td>13</td><td>(26.6)</td><td>26</td><td>(53.1)</td></tr><tr><td><b>Intensity</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <b>Strong</b></td><td>81</td><td>(35.2)</td><td>[EMPTY_CELL]</td><td>(8.8)</td><td>71</td><td>(31.4)</td><td>4</td><td>(8.2)</td><td>0</td><td>(0.0)</td><td>11</td><td>(22.5)</td></tr><tr><td> <b>Moderate</b></td><td>77</td><td>(33.5)</td><td>[EMPTY_CELL]</td><td>(27.4)</td><td>96</td><td>(42.5)</td><td>8</td><td>(16.3)</td><td>2</td><td>(4.1)</td><td>18</td><td>(36.7)</td></tr><tr><td> <b>Weak</b></td><td>57</td><td>(24.8)</td><td>[EMPTY_CELL]</td><td>(38.5)</td><td>53</td><td>(23.5)</td><td>16</td><td>(32.7)</td><td>14</td><td>(28.6)</td><td>19</td><td>(38.8)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Epithelioid</b>\", \"bbox\": [161, 6, 206, 16]}, {\"cell\": \"<b>Non-epithelioid*</b>\", \"bbox\": [360, 6, 427, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MSLN n = 230 (%)</b>\", \"bbox\": [90, 21, 137, 46]}, {\"cell\": \"<b>CA125 n = 226 (%)</b>\", \"bbox\": [160, 21, 207, 46]}, {\"cell\": \"<b>WT1 n = 226 (%)</b>\", \"bbox\": [230, 21, 277, 46]}, {\"cell\": \"<b>MSLN n = 49 (%)</b>\", \"bbox\": [302, 21, 345, 46]}, {\"cell\": \"<b>CA125 n = 49 (%)</b>\", \"bbox\": [372, 21, 415, 46]}, {\"cell\": \"<b>WT1 n = 49 (%)</b>\", \"bbox\": [442, 21, 485, 46]}, {\"cell\": \"<b>Expression</b>\", \"bbox\": [4, 52, 48, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <b>Positive</b>\", \"bbox\": [13, 67, 45, 77]}, {\"cell\": \"215\", \"bbox\": [88, 67, 104, 77]}, {\"cell\": \"(93.5)\", \"bbox\": [119, 67, 143, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 67, 174, 77]}, {\"cell\": \"(74.8)\", \"bbox\": [189, 64, 213, 78]}, {\"cell\": \"220\", \"bbox\": [228, 67, 244, 77]}, {\"cell\": \"(97.3)\", \"bbox\": [259, 64, 283, 78]}, {\"cell\": \"28\", \"bbox\": [301, 64, 312, 78]}, {\"cell\": \"(57.1)\", \"bbox\": [329, 64, 353, 78]}, {\"cell\": \"16\", \"bbox\": [371, 67, 382, 77]}, {\"cell\": \"(32.7)\", \"bbox\": [399, 64, 423, 78]}, {\"cell\": \"48\", \"bbox\": [441, 64, 452, 78]}, {\"cell\": \"(98.0)\", \"bbox\": [469, 64, 493, 78]}, {\"cell\": \" <b>Negative</b>\", \"bbox\": [12, 82, 48, 92]}, {\"cell\": \"15\", \"bbox\": [90, 82, 101, 93]}, {\"cell\": \"(6.5)\", \"bbox\": [121, 82, 141, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 80, 171, 93]}, {\"cell\": \"(25.2)\", \"bbox\": [189, 82, 213, 93]}, {\"cell\": \"6\", \"bbox\": [233, 82, 239, 93]}, {\"cell\": \"(2.7)\", \"bbox\": [261, 80, 281, 93]}, {\"cell\": \"21\", \"bbox\": [300, 82, 311, 93]}, {\"cell\": \"(42.9)\", \"bbox\": [329, 82, 353, 93]}, {\"cell\": \"33\", \"bbox\": [370, 82, 381, 93]}, {\"cell\": \"(67.3)\", \"bbox\": [399, 80, 423, 93]}, {\"cell\": \"1\", \"bbox\": [443, 82, 449, 93]}, {\"cell\": \"(2.0)\", \"bbox\": [471, 82, 491, 93]}, {\"cell\": \"<b>Distribution</b>\", \"bbox\": [3, 98, 53, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <b>≥50%</b>\", \"bbox\": [12, 110, 37, 124]}, {\"cell\": \"193\", \"bbox\": [88, 113, 104, 123]}, {\"cell\": \"(83.9)\", \"bbox\": [119, 110, 143, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 113, 171, 123]}, {\"cell\": \"(20.4)\", \"bbox\": [189, 113, 213, 123]}, {\"cell\": \"162\", \"bbox\": [228, 113, 244, 123]}, {\"cell\": \"(71.7)\", \"bbox\": [259, 110, 283, 124]}, {\"cell\": \"12\", \"bbox\": [300, 113, 311, 123]}, {\"cell\": \"(24.5)\", \"bbox\": [329, 113, 353, 123]}, {\"cell\": \"3\", \"bbox\": [373, 113, 379, 123]}, {\"cell\": \"(6.1)\", \"bbox\": [401, 113, 421, 123]}, {\"cell\": \"22\", \"bbox\": [440, 113, 451, 123]}, {\"cell\": \"(44.9)\", \"bbox\": [469, 113, 493, 123]}, {\"cell\": \" <b><50%, >0%</b>\", \"bbox\": [12, 128, 61, 138]}, {\"cell\": \"22\", \"bbox\": [90, 128, 101, 138]}, {\"cell\": \"(9.6)\", \"bbox\": [121, 128, 141, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [158, 128, 174, 138]}, {\"cell\": \"(54.4)\", \"bbox\": [189, 128, 213, 138]}, {\"cell\": \"58\", \"bbox\": [230, 125, 241, 139]}, {\"cell\": \"(25.6)\", \"bbox\": [259, 128, 283, 138]}, {\"cell\": \"16\", \"bbox\": [300, 128, 311, 138]}, {\"cell\": \"(32.7)\", \"bbox\": [329, 125, 353, 139]}, {\"cell\": \"13\", \"bbox\": [370, 128, 381, 138]}, {\"cell\": \"(26.6)\", \"bbox\": [399, 128, 423, 138]}, {\"cell\": \"26\", \"bbox\": [440, 128, 451, 138]}, {\"cell\": \"(53.1)\", \"bbox\": [469, 128, 493, 138]}, {\"cell\": \"<b>Intensity</b>\", \"bbox\": [3, 143, 39, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <b>Strong</b>\", \"bbox\": [12, 159, 40, 169]}, {\"cell\": \"81\", \"bbox\": [90, 156, 101, 170]}, {\"cell\": \"(35.2)\", \"bbox\": [119, 159, 143, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 159, 171, 169]}, {\"cell\": \"(8.8)\", \"bbox\": [191, 156, 211, 170]}, {\"cell\": \"71\", \"bbox\": [230, 156, 241, 170]}, {\"cell\": \"(31.4)\", \"bbox\": [259, 159, 283, 169]}, {\"cell\": \"4\", \"bbox\": [303, 159, 309, 169]}, {\"cell\": \"(8.2)\", \"bbox\": [331, 156, 351, 170]}, {\"cell\": \"0\", \"bbox\": [373, 159, 379, 169]}, {\"cell\": \"(0.0)\", \"bbox\": [401, 159, 421, 169]}, {\"cell\": \"11\", \"bbox\": [441, 159, 451, 169]}, {\"cell\": \"(22.5)\", \"bbox\": [469, 159, 493, 169]}, {\"cell\": \" <b>Moderate</b>\", \"bbox\": [13, 174, 52, 184]}, {\"cell\": \"77\", \"bbox\": [91, 171, 102, 185]}, {\"cell\": \"(33.5)\", \"bbox\": [119, 174, 143, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 174, 171, 184]}, {\"cell\": \"(27.4)\", \"bbox\": [189, 171, 213, 185]}, {\"cell\": \"96\", \"bbox\": [231, 174, 242, 184]}, {\"cell\": \"(42.5)\", \"bbox\": [259, 174, 283, 184]}, {\"cell\": \"8\", \"bbox\": [303, 171, 309, 185]}, {\"cell\": \"(16.3)\", \"bbox\": [329, 174, 353, 184]}, {\"cell\": \"2\", \"bbox\": [373, 174, 379, 184]}, {\"cell\": \"(4.1)\", \"bbox\": [401, 174, 421, 184]}, {\"cell\": \"18\", \"bbox\": [440, 171, 451, 185]}, {\"cell\": \"(36.7)\", \"bbox\": [469, 171, 493, 185]}, {\"cell\": \" <b>Weak</b>\", \"bbox\": [12, 189, 36, 199]}, {\"cell\": \"57\", \"bbox\": [90, 186, 101, 200]}, {\"cell\": \"(24.8)\", \"bbox\": [119, 186, 143, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [160, 186, 171, 200]}, {\"cell\": \"(38.5)\", \"bbox\": [189, 186, 213, 200]}, {\"cell\": \"53\", \"bbox\": [230, 189, 241, 199]}, {\"cell\": \"(23.5)\", \"bbox\": [259, 189, 283, 199]}, {\"cell\": \"16\", \"bbox\": [300, 189, 311, 199]}, {\"cell\": \"(32.7)\", \"bbox\": [329, 186, 353, 200]}, {\"cell\": \"14\", \"bbox\": [370, 189, 381, 199]}, {\"cell\": \"(28.6)\", \"bbox\": [399, 186, 423, 200]}, {\"cell\": \"19\", \"bbox\": [440, 189, 451, 199]}, {\"cell\": \"(38.8)\", \"bbox\": [469, 186, 493, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5652821_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}586{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>GP trainers</b></td><td colspan=\\\"2\\\"><b>Non-trainer GPs</b></td><td><b><i>p</i>-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>(<i>n</i> = 623)</b></td><td colspan=\\\"2\\\"><b>(<i>n</i> = 4369)</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>m</b></td><td><b>(SD)</b></td><td><b>m</b></td><td><b>(SD)</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Individual patients consulted (year 2011)</td><td>1729</td><td>(556)</td><td>1630</td><td>[EMPTY_CELL]</td><td>0.004</td></tr><tr><td>Visits (year 2011)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Office visits</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Global</td><td>4351</td><td>(1474)</td><td>4066</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>Per patient</td><td>2.6</td><td>(0.6)</td><td>2.6</td><td>[EMPTY_CELL]</td><td>0.48</td></tr><tr><td> Home visits</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Global</td><td>277</td><td>(260)</td><td>262</td><td>[EMPTY_CELL]</td><td>0.28</td></tr><tr><td>Per patient</td><td>0.2</td><td>(0.1)</td><td>0.2</td><td>[EMPTY_CELL]</td><td>0.36</td></tr><tr><td> On-call duties [n (%)]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><10<sup>−4</sup></td></tr><tr><td>Yes</td><td>448</td><td>(71.9)</td><td>2535</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>175</td><td>(28.1)</td><td>1834</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Prescriptions (year 2011)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Reimbursed drugs</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Global (Euros)</td><td>271339</td><td>(150250)</td><td>251745</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td>Per patient (Euros)</td><td>161.2</td><td>(86.1)</td><td>159.9</td><td>[EMPTY_CELL]</td><td>0.72</td></tr><tr><td>Proportion of generics</td><td>23.4 %</td><td>(5.7 %)</td><td>21.2 %</td><td>[EMPTY_CELL]</td><td><10<sup>−4</sup></td></tr><tr><td> Allowances for sick leave</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Global (days)</td><td>3815</td><td>(2350)</td><td>3828</td><td>[EMPTY_CELL]</td><td>0.92</td></tr><tr><td>Medical procedures (year 2012)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Electrocardiograms</td><td>36.9</td><td>(43.0)</td><td>21.1</td><td>[EMPTY_CELL]</td><td><10<sup>−4</sup></td></tr><tr><td> Sutures</td><td>3.7</td><td>(7.3)</td><td>4.6</td><td>[EMPTY_CELL]</td><td>0.39</td></tr><tr><td> Plaster casts</td><td>1.0</td><td>(4.0)</td><td>3.4</td><td>[EMPTY_CELL]</td><td>0.04</td></tr><tr><td> Cervical smears</td><td>1.2</td><td>(3.5)</td><td>0.4</td><td>[EMPTY_CELL]</td><td><10<sup>−4</sup></td></tr><tr><td>Performance indicators<sup>a</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Seasonal flu vaccination<sup>b</sup> (year 2012) [n (%)]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><10<sup>−4</sup></td></tr><tr><td>Yes</td><td>46469</td><td>(54.5)</td><td>268706</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>38856</td><td>(45.5)</td><td>242377</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Mammogram<sup>c</sup> (years 2011–2012) [n (%)]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><10<sup>−4</sup></td></tr><tr><td>Yes</td><td>43746</td><td>(65.5)</td><td>259666</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>23079</td><td>(34.5)</td><td>151698</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Three or four glycated hemoglobin assays a year<sup>d</sup> (year 2012) [n (%)]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><10<sup>−4</sup></td></tr><tr><td>Yes</td><td>14040</td><td>(60.6)</td><td>79800</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>9126</td><td>(39.4)</td><td>68415</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>GP trainers</b>\", \"bbox\": [255, 4, 291, 13]}, {\"cell\": \"<b>Non-trainer GPs</b>\", \"bbox\": [357, 4, 410, 13]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>(<i>n</i> = 623)</b>\", \"bbox\": [255, 17, 284, 27]}, {\"cell\": \"<b>(<i>n</i> = 4369)</b>\", \"bbox\": [357, 17, 391, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>m</b>\", \"bbox\": [255, 30, 263, 40]}, {\"cell\": \"<b>(SD)</b>\", \"bbox\": [304, 30, 319, 40]}, {\"cell\": \"<b>m</b>\", \"bbox\": [357, 30, 366, 40]}, {\"cell\": \"<b>(SD)</b>\", \"bbox\": [406, 30, 421, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Individual patients consulted (year 2011)\", \"bbox\": [1, 43, 132, 53]}, {\"cell\": \"1729\", \"bbox\": [255, 43, 272, 53]}, {\"cell\": \"(556)\", \"bbox\": [304, 43, 322, 53]}, {\"cell\": \"1630\", \"bbox\": [357, 43, 374, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 43, 424, 53]}, {\"cell\": \"0.004\", \"bbox\": [459, 43, 478, 53]}, {\"cell\": \"Visits (year 2011)\", \"bbox\": [1, 57, 56, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Office visits\", \"bbox\": [8, 71, 46, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Global\", \"bbox\": [16, 85, 39, 95]}, {\"cell\": \"4351\", \"bbox\": [255, 85, 272, 95]}, {\"cell\": \"(1474)\", \"bbox\": [304, 85, 325, 95]}, {\"cell\": \"4066\", \"bbox\": [357, 85, 374, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 85, 428, 95]}, {\"cell\": \"0.001\", \"bbox\": [459, 85, 478, 95]}, {\"cell\": \"Per patient\", \"bbox\": [16, 99, 53, 109]}, {\"cell\": \"2.6\", \"bbox\": [255, 99, 266, 109]}, {\"cell\": \"(0.6)\", \"bbox\": [304, 99, 319, 109]}, {\"cell\": \"2.6\", \"bbox\": [357, 99, 368, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 99, 421, 109]}, {\"cell\": \"0.48\", \"bbox\": [459, 99, 474, 109]}, {\"cell\": \" Home visits\", \"bbox\": [8, 113, 48, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Global\", \"bbox\": [16, 127, 39, 137]}, {\"cell\": \"277\", \"bbox\": [255, 127, 268, 137]}, {\"cell\": \"(260)\", \"bbox\": [304, 127, 322, 137]}, {\"cell\": \"262\", \"bbox\": [357, 127, 371, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 127, 424, 137]}, {\"cell\": \"0.28\", \"bbox\": [459, 127, 474, 137]}, {\"cell\": \"Per patient\", \"bbox\": [16, 141, 53, 151]}, {\"cell\": \"0.2\", \"bbox\": [255, 141, 266, 151]}, {\"cell\": \"(0.1)\", \"bbox\": [304, 141, 319, 151]}, {\"cell\": \"0.2\", \"bbox\": [357, 141, 368, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 141, 421, 151]}, {\"cell\": \"0.36\", \"bbox\": [459, 141, 474, 151]}, {\"cell\": \" On-call duties [n (%)]\", \"bbox\": [8, 155, 78, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<10<sup>−4</sup>\", \"bbox\": [459, 154, 480, 165]}, {\"cell\": \"Yes\", \"bbox\": [16, 169, 29, 179]}, {\"cell\": \"448\", \"bbox\": [255, 169, 268, 179]}, {\"cell\": \"(71.9)\", \"bbox\": [304, 169, 323, 179]}, {\"cell\": \"2535\", \"bbox\": [357, 169, 374, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 169, 425, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [16, 183, 28, 193]}, {\"cell\": \"175\", \"bbox\": [255, 183, 268, 193]}, {\"cell\": \"(28.1)\", \"bbox\": [304, 183, 323, 193]}, {\"cell\": \"1834\", \"bbox\": [357, 183, 374, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 183, 425, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prescriptions (year 2011)\", \"bbox\": [1, 197, 80, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Reimbursed drugs\", \"bbox\": [8, 211, 69, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Global (Euros)\", \"bbox\": [16, 225, 63, 235]}, {\"cell\": \"271339\", \"bbox\": [255, 225, 280, 235]}, {\"cell\": \"(150250)\", \"bbox\": [304, 225, 333, 235]}, {\"cell\": \"251745\", \"bbox\": [357, 225, 382, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 225, 435, 235]}, {\"cell\": \"0.01\", \"bbox\": [459, 225, 474, 235]}, {\"cell\": \"Per patient (Euros)\", \"bbox\": [16, 239, 77, 249]}, {\"cell\": \"161.2\", \"bbox\": [255, 239, 274, 249]}, {\"cell\": \"(86.1)\", \"bbox\": [304, 239, 323, 249]}, {\"cell\": \"159.9\", \"bbox\": [357, 239, 376, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 239, 425, 249]}, {\"cell\": \"0.72\", \"bbox\": [459, 239, 474, 249]}, {\"cell\": \"Proportion of generics\", \"bbox\": [16, 253, 90, 263]}, {\"cell\": \"23.4 %\", \"bbox\": [255, 253, 278, 263]}, {\"cell\": \"(5.7 %)\", \"bbox\": [304, 253, 327, 263]}, {\"cell\": \"21.2 %\", \"bbox\": [357, 253, 380, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 253, 429, 263]}, {\"cell\": \"<10<sup>−4</sup>\", \"bbox\": [459, 252, 480, 263]}, {\"cell\": \" Allowances for sick leave\", \"bbox\": [8, 267, 90, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Global (days)\", \"bbox\": [16, 281, 60, 291]}, {\"cell\": \"3815\", \"bbox\": [255, 281, 272, 291]}, {\"cell\": \"(2350)\", \"bbox\": [304, 281, 325, 291]}, {\"cell\": \"3828\", \"bbox\": [357, 281, 374, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 281, 428, 291]}, {\"cell\": \"0.92\", \"bbox\": [459, 281, 474, 291]}, {\"cell\": \"Medical procedures (year 2012)\", \"bbox\": [1, 295, 103, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Electrocardiograms\", \"bbox\": [8, 309, 71, 319]}, {\"cell\": \"36.9\", \"bbox\": [255, 309, 270, 319]}, {\"cell\": \"(43.0)\", \"bbox\": [304, 309, 323, 319]}, {\"cell\": \"21.1\", \"bbox\": [357, 309, 372, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 309, 425, 319]}, {\"cell\": \"<10<sup>−4</sup>\", \"bbox\": [459, 308, 480, 319]}, {\"cell\": \" Sutures\", \"bbox\": [8, 323, 34, 333]}, {\"cell\": \"3.7\", \"bbox\": [255, 323, 266, 333]}, {\"cell\": \"(7.3)\", \"bbox\": [304, 323, 319, 333]}, {\"cell\": \"4.6\", \"bbox\": [357, 323, 368, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 323, 425, 333]}, {\"cell\": \"0.39\", \"bbox\": [459, 323, 474, 333]}, {\"cell\": \" Plaster casts\", \"bbox\": [8, 337, 49, 347]}, {\"cell\": \"1.0\", \"bbox\": [255, 337, 266, 347]}, {\"cell\": \"(4.0)\", \"bbox\": [304, 337, 319, 347]}, {\"cell\": \"3.4\", \"bbox\": [357, 337, 368, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 337, 425, 347]}, {\"cell\": \"0.04\", \"bbox\": [459, 337, 474, 347]}, {\"cell\": \" Cervical smears\", \"bbox\": [8, 351, 60, 361]}, {\"cell\": \"1.2\", \"bbox\": [255, 351, 266, 361]}, {\"cell\": \"(3.5)\", \"bbox\": [304, 351, 319, 361]}, {\"cell\": \"0.4\", \"bbox\": [357, 351, 368, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 351, 421, 361]}, {\"cell\": \"<10<sup>−4</sup>\", \"bbox\": [459, 350, 480, 361]}, {\"cell\": \"Performance indicators<sup>a</sup>\", \"bbox\": [1, 364, 79, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Seasonal flu vaccination<sup>b</sup> (year 2012) [n (%)]\", \"bbox\": [8, 378, 151, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<10<sup>−4</sup>\", \"bbox\": [459, 378, 480, 389]}, {\"cell\": \"Yes\", \"bbox\": [16, 393, 29, 403]}, {\"cell\": \"46469\", \"bbox\": [255, 393, 276, 403]}, {\"cell\": \"(54.5)\", \"bbox\": [304, 393, 323, 403]}, {\"cell\": \"268706\", \"bbox\": [357, 393, 382, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 393, 425, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [16, 407, 28, 417]}, {\"cell\": \"38856\", \"bbox\": [255, 407, 276, 417]}, {\"cell\": \"(45.5)\", \"bbox\": [304, 407, 323, 417]}, {\"cell\": \"242377\", \"bbox\": [357, 407, 382, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 407, 425, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mammogram<sup>c</sup> (years 2011–2012) [n (%)]\", \"bbox\": [8, 420, 140, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<10<sup>−4</sup>\", \"bbox\": [459, 420, 480, 431]}, {\"cell\": \"Yes\", \"bbox\": [16, 435, 29, 445]}, {\"cell\": \"43746\", \"bbox\": [255, 435, 276, 445]}, {\"cell\": \"(65.5)\", \"bbox\": [304, 435, 323, 445]}, {\"cell\": \"259666\", \"bbox\": [357, 435, 382, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 435, 425, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [16, 449, 28, 459]}, {\"cell\": \"23079\", \"bbox\": [255, 449, 276, 459]}, {\"cell\": \"(34.5)\", \"bbox\": [304, 449, 323, 459]}, {\"cell\": \"151698\", \"bbox\": [357, 449, 382, 459]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 449, 425, 459]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Three or four glycated hemoglobin assays a year<sup>d</sup> (year 2012) [n (%)]\", \"bbox\": [8, 462, 231, 473]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<10<sup>−4</sup>\", \"bbox\": [459, 462, 480, 473]}, {\"cell\": \"Yes\", \"bbox\": [16, 477, 29, 487]}, {\"cell\": \"14040\", \"bbox\": [255, 477, 276, 487]}, {\"cell\": \"(60.6)\", \"bbox\": [304, 477, 323, 487]}, {\"cell\": \"79800\", \"bbox\": [357, 477, 378, 487]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 477, 425, 487]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [16, 491, 28, 501]}, {\"cell\": \"9126\", \"bbox\": [255, 491, 272, 501]}, {\"cell\": \"(39.4)\", \"bbox\": [304, 491, 323, 501]}, {\"cell\": \"68415\", \"bbox\": [357, 491, 378, 501]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 491, 425, 501]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4847255_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}587{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Groups</b></td><td><b>Baseline<sup>a</sup></b></td><td><b>Week 4<sup>a</sup></b></td><td><b>Week 8<sup>a</sup></b></td><td><b>Week 12<sup>a</sup></b></td></tr></thead><tbody><tr><td>CTX-II (ng/mmol Cr)</td><td>Test</td><td>1,710±883</td><td>[EMPTY_CELL]</td><td>1,388±719 (−19)</td><td>1,301±706 (−24)<sup>c</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>Placebo</td><td>1,265±1,096</td><td>[EMPTY_CELL]</td><td>1,182±884 (−7)</td><td>1,056±693 (−17)</td></tr><tr><td>CPII (ng/ml)</td><td>Test</td><td>1,544±458</td><td>[EMPTY_CELL]</td><td>1,993±396 (29)<sup>c</sup></td><td>1,947±544 (26)<sup>c</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>Placebo</td><td>1,498±438</td><td>[EMPTY_CELL]</td><td>1,919±384 (28)<sup>c</sup></td><td>1,964±515 (31)<sup>c</sup></td></tr><tr><td>CTX-II/CPII ratio</td><td>Test</td><td>1.25±0.811</td><td>[EMPTY_CELL]</td><td>0.74±0.45 (−41)<sup>c</sup></td><td>0.71±0.38 (−43)<sup>c</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>Placebo</td><td>0.88±0.69</td><td>[EMPTY_CELL]</td><td>0.65±0.47 (−26)<sup>b</sup></td><td>0.56±0.33 (−36)<sup>b</sup></td></tr><tr><td>NTx (nmol BCE/mmol Cr)</td><td>Test</td><td>66.8±19.4</td><td>[EMPTY_CELL]</td><td>58.1±21.0 (−13)</td><td>56.7±17.0 (−15)<sup>c</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>Placebo</td><td>60.0±30.1</td><td>[EMPTY_CELL]</td><td>58.0±18.9 (−3)</td><td>62.1±23.0 (4)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Groups</b>\", \"bbox\": [137, 8, 168, 19]}, {\"cell\": \"<b>Baseline<sup>a</sup></b>\", \"bbox\": [196, 7, 235, 19]}, {\"cell\": \"<b>Week 4<sup>a</sup></b>\", \"bbox\": [279, 7, 314, 19]}, {\"cell\": \"<b>Week 8<sup>a</sup></b>\", \"bbox\": [370, 7, 405, 19]}, {\"cell\": \"<b>Week 12<sup>a</sup></b>\", \"bbox\": [458, 7, 497, 19]}, {\"cell\": \"CTX-II (ng/mmol Cr)\", \"bbox\": [0, 31, 90, 42]}, {\"cell\": \"Test\", \"bbox\": [136, 31, 154, 42]}, {\"cell\": \"1,710±883\", \"bbox\": [189, 31, 234, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 31, 322, 42]}, {\"cell\": \"1,388±719 (−19)\", \"bbox\": [352, 31, 419, 42]}, {\"cell\": \"1,301±706 (−24)<sup>c</sup>\", \"bbox\": [440, 30, 510, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Placebo\", \"bbox\": [135, 44, 169, 55]}, {\"cell\": \"1,265±1,096\", \"bbox\": [189, 44, 241, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 44, 332, 55]}, {\"cell\": \"1,182±884 (−7)\", \"bbox\": [352, 44, 414, 55]}, {\"cell\": \"1,056±693 (−17)\", \"bbox\": [440, 44, 507, 55]}, {\"cell\": \"CPII (ng/ml)\", \"bbox\": [0, 59, 54, 70]}, {\"cell\": \"Test\", \"bbox\": [136, 59, 154, 70]}, {\"cell\": \"1,544±458\", \"bbox\": [189, 59, 234, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 58, 327, 70]}, {\"cell\": \"1,993±396 (29)<sup>c</sup>\", \"bbox\": [352, 58, 419, 70]}, {\"cell\": \"1,947±544 (26)<sup>c</sup>\", \"bbox\": [440, 58, 507, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Placebo\", \"bbox\": [135, 72, 169, 83]}, {\"cell\": \"1,498±438\", \"bbox\": [189, 72, 234, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 71, 327, 83]}, {\"cell\": \"1,919±384 (28)<sup>c</sup>\", \"bbox\": [352, 71, 419, 83]}, {\"cell\": \"1,964±515 (31)<sup>c</sup>\", \"bbox\": [440, 71, 507, 83]}, {\"cell\": \"CTX-II/CPII ratio\", \"bbox\": [0, 87, 75, 98]}, {\"cell\": \"Test\", \"bbox\": [136, 87, 154, 98]}, {\"cell\": \"1.25±0.811\", \"bbox\": [194, 87, 241, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 86, 333, 98]}, {\"cell\": \"0.74±0.45 (−41)<sup>c</sup>\", \"bbox\": [357, 86, 425, 98]}, {\"cell\": \"0.71±0.38 (−43)<sup>c</sup>\", \"bbox\": [445, 86, 513, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Placebo\", \"bbox\": [136, 100, 169, 111]}, {\"cell\": \"0.88±0.69\", \"bbox\": [194, 100, 236, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 100, 325, 111]}, {\"cell\": \"0.65±0.47 (−26)<sup>b</sup>\", \"bbox\": [357, 99, 425, 111]}, {\"cell\": \"0.56±0.33 (−36)<sup>b</sup>\", \"bbox\": [445, 99, 513, 111]}, {\"cell\": \"NTx (nmol BCE/mmol Cr)\", \"bbox\": [1, 115, 111, 126]}, {\"cell\": \"Test\", \"bbox\": [136, 115, 154, 126]}, {\"cell\": \"66.8±19.4\", \"bbox\": [194, 115, 237, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 115, 330, 126]}, {\"cell\": \"58.1±21.0 (−13)\", \"bbox\": [357, 115, 422, 126]}, {\"cell\": \"56.7±17.0 (−15)<sup>c</sup>\", \"bbox\": [445, 114, 513, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Placebo\", \"bbox\": [136, 128, 169, 139]}, {\"cell\": \"60.0±30.1\", \"bbox\": [194, 128, 236, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 128, 322, 139]}, {\"cell\": \"58.0±18.9 (−3)\", \"bbox\": [357, 128, 417, 139]}, {\"cell\": \"62.1±23.0 (4)\", \"bbox\": [445, 128, 502, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3501371_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}588{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Covariate</b></td><td><b>Univariate OR (95% CI)</b></td><td><b>Adjusted OR (95% CI)*</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1.28 (1.06-1.53)</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>1.80 (1.34-2.40)</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>1.53 (1.04-2.25)</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>3.44 (2.24-5.30)</td><td>2.44 (1.55-3.84)</td></tr><tr><td>[EMPTY_CELL]</td><td>2.89 (1.96-4.24)</td><td>2.16 (1.44-3.24)</td></tr><tr><td>[EMPTY_CELL]</td><td>2.68 (1.63-4.41)</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>1.63 (1.03-2.59)</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>2.72 (1.64-4.50)</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>4.33 (2.74-6.85)</td><td>2.59 (1.58-4.23)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reference</td><td>Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>1.86 (1.20-2.90)</td><td>1.56 (1.00-2.45)</td></tr><tr><td>[EMPTY_CELL]</td><td>3.53 (2.12-5.87)</td><td>2.41 (1.42-4.09)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2.20 (1.40-3.46)</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>1.44 (0.65-3.22)</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>1.17 (1.05-1.31)</td><td>1.15 (1.02-1.31)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Covariate</b>\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"<b>Univariate OR (95% CI)</b>\", \"bbox\": [224, 4, 305, 13]}, {\"cell\": \"<b>Adjusted OR (95% CI)*</b>\", \"bbox\": [404, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 61, 27]}, {\"cell\": \"1.28 (1.06-1.53)\", \"bbox\": [240, 17, 289, 27]}, {\"cell\": \"NS\", \"bbox\": [439, 17, 450, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 79, 41]}, {\"cell\": \"1.80 (1.34-2.40)\", \"bbox\": [240, 31, 289, 41]}, {\"cell\": \"NS\", \"bbox\": [439, 31, 450, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 16, 55]}, {\"cell\": \"1.53 (1.04-2.25)\", \"bbox\": [240, 45, 289, 55]}, {\"cell\": \"NS\", \"bbox\": [439, 45, 450, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 21, 69]}, {\"cell\": \"3.44 (2.24-5.30)\", \"bbox\": [240, 59, 289, 69]}, {\"cell\": \"2.44 (1.55-3.84)\", \"bbox\": [420, 59, 469, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 30, 83]}, {\"cell\": \"2.89 (1.96-4.24)\", \"bbox\": [240, 73, 289, 83]}, {\"cell\": \"2.16 (1.44-3.24)\", \"bbox\": [420, 73, 469, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 45, 97]}, {\"cell\": \"2.68 (1.63-4.41)\", \"bbox\": [240, 87, 289, 97]}, {\"cell\": \"NS\", \"bbox\": [439, 87, 450, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 59, 111]}, {\"cell\": \"1.63 (1.03-2.59)\", \"bbox\": [240, 101, 289, 111]}, {\"cell\": \"NS\", \"bbox\": [439, 101, 450, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 16, 125]}, {\"cell\": \"2.72 (1.64-4.50)\", \"bbox\": [240, 115, 289, 125]}, {\"cell\": \"NS\", \"bbox\": [439, 115, 450, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 26, 139]}, {\"cell\": \"4.33 (2.74-6.85)\", \"bbox\": [240, 129, 289, 139]}, {\"cell\": \"2.59 (1.58-4.23)\", \"bbox\": [420, 129, 469, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 106, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 15, 167]}, {\"cell\": \"Reference\", \"bbox\": [248, 157, 281, 167]}, {\"cell\": \"Reference\", \"bbox\": [428, 157, 461, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 20, 181]}, {\"cell\": \"1.86 (1.20-2.90)\", \"bbox\": [240, 171, 289, 181]}, {\"cell\": \"1.56 (1.00-2.45)\", \"bbox\": [420, 171, 469, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 15, 195]}, {\"cell\": \"3.53 (2.12-5.87)\", \"bbox\": [240, 185, 289, 195]}, {\"cell\": \"2.41 (1.42-4.09)\", \"bbox\": [420, 185, 469, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 56, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 60, 223]}, {\"cell\": \"2.20 (1.40-3.46)\", \"bbox\": [240, 213, 289, 223]}, {\"cell\": \"NS\", \"bbox\": [439, 213, 450, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 69, 237]}, {\"cell\": \"1.44 (0.65-3.22)\", \"bbox\": [240, 227, 289, 237]}, {\"cell\": \"NS\", \"bbox\": [439, 227, 450, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 125, 251]}, {\"cell\": \"1.17 (1.05-1.31)\", \"bbox\": [240, 241, 289, 251]}, {\"cell\": \"1.15 (1.02-1.31)\", \"bbox\": [420, 241, 469, 251]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3618209_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}589{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Atopy*</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>N = 283</b></td><td><b>Yes (135)</b></td><td><b>No (148)</b></td><td><b>OR</b></td><td><b><sup>##</sup>Adjusted OR</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>n (%)</b></td><td><b>n (%)</b></td><td><b>n (%)</b></td><td><b>[95% CI]</b></td><td><b>[95%CI]</b></td></tr></thead><tbody><tr><td><b>Gender</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Female</td><td>129 (45.6)</td><td>57 (44.2)</td><td>[EMPTY_CELL]</td><td>1<sup>#</sup></td><td>1</td></tr><tr><td>Male</td><td>154 (54.4)</td><td>78 (50.6)</td><td>[EMPTY_CELL]</td><td>1.30 [0.81;2.07]</td><td>1.30 [0.76;2.24]</td></tr><tr><td><b>Age (months)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>19 a 48</td><td>137 (48.4)</td><td>76 (55.5)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>0 a 18</td><td>146 (51.6)</td><td>59 (40.4)</td><td>[EMPTY_CELL]</td><td>0.54 [0.34;0.87]</td><td>0.64 [0.36;1.15]</td></tr><tr><td><b>Maternal literacy</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Illiterate/primary</td><td>60 (21.2)</td><td>32 (53.3)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>Secondary incomplete</td><td>129 (45.6)</td><td>57 (44.2)</td><td>[EMPTY_CELL]</td><td>0.69 [0.37;1.28]</td><td>0.84 [0.41;1. 70]</td></tr><tr><td>Secondary completeor more</td><td>94 (33.2)</td><td>46 (48.9)</td><td>[EMPTY_CELL]</td><td>0.84 [0.44;1.60]</td><td>1.16 [0.55;2.45]</td></tr><tr><td><b>Sewer system</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>141 (49.8)</td><td>62 (44.0)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>No</td><td>142 (50.2)</td><td>73 (51.4)</td><td>[EMPTY_CELL]</td><td>1.35 [0.84;2.15]</td><td>1.40 [0.82;2.37]</td></tr><tr><td><b><i>Trichuris e</i>ggs</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>247 (87.3)</td><td>112 (45.3)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>Yes</td><td>36 (12.7)</td><td>23 (63.9)</td><td>[EMPTY_CELL]</td><td>2.13 [1.03;4.40]</td><td>1.52 [0.66;3.50]</td></tr><tr><td><b><i>Ascaris </i>eggs</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>230 (81.3)</td><td>108 (47.0)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>Yes</td><td>53 (18.7)</td><td>27 (50.9)</td><td>[EMPTY_CELL]</td><td>1.17 [0.65;2.13]</td><td>0.64 [0.30;1.39]</td></tr><tr><td><b>Anti-<i>Ascaris </i>IgE</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><0.35 KU/L</td><td>184 (65,0)</td><td>59 (32,1)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>≥0.35 KU/L</td><td>99 (35,0)</td><td>76 (76,8)</td><td>[EMPTY_CELL]</td><td>7.00 [4.00;12.25]</td><td>7.29 [3.90;13.64]</td></tr><tr><td><b>Wheezing in the</b><b>past 12 months</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>181 (64.0)</td><td>80 (44.2)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td>Yes</td><td>102 (36.0)</td><td>55 (53.9)</td><td>[EMPTY_CELL]</td><td>1.48 [0.91;2.41]</td><td>1.02 [0.57;1.80]</td></tr><tr><td><b>Days with diarrhoea</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>None</td><td>50 (17.7)</td><td>27 (54.0)</td><td>[EMPTY_CELL]</td><td>1</td><td>1</td></tr><tr><td><6 days of duration</td><td>121 (42.8)</td><td>59 (48.8)</td><td>[EMPTY_CELL]</td><td>0.81 [0.42;1.57]</td><td>0.84 [0.40;1.80]</td></tr><tr><td>≥6 days of duration</td><td>112 (39.6)</td><td>49 (43.8)</td><td>[EMPTY_CELL]</td><td>0.66 [0.34; 1.29]</td><td>0.99 [0.44;2.24]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 34, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Atopy*</b>\", \"bbox\": [318, 4, 344, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N = 283</b>\", \"bbox\": [143, 17, 173, 27]}, {\"cell\": \"<b>Yes (135)</b>\", \"bbox\": [208, 17, 242, 27]}, {\"cell\": \"<b>No (148)</b>\", \"bbox\": [278, 17, 310, 27]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [350, 17, 362, 27]}, {\"cell\": \"<b><sup>##</sup>Adjusted OR</b>\", \"bbox\": [417, 16, 469, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n (%)</b>\", \"bbox\": [153, 29, 173, 39]}, {\"cell\": \"<b>n (%)</b>\", \"bbox\": [222, 29, 242, 39]}, {\"cell\": \"<b>n (%)</b>\", \"bbox\": [290, 29, 310, 39]}, {\"cell\": \"<b>[95% CI]</b>\", \"bbox\": [340, 29, 371, 39]}, {\"cell\": \"<b>[95%CI]</b>\", \"bbox\": [429, 29, 457, 39]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [0, 42, 28, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [0, 54, 25, 64]}, {\"cell\": \"129 (45.6)\", \"bbox\": [140, 54, 173, 64]}, {\"cell\": \"57 (44.2)\", \"bbox\": [213, 54, 242, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 54, 310, 64]}, {\"cell\": \"1<sup>#</sup>\", \"bbox\": [351, 53, 360, 64]}, {\"cell\": \"1\", \"bbox\": [440, 54, 446, 64]}, {\"cell\": \"Male\", \"bbox\": [1, 66, 18, 76]}, {\"cell\": \"154 (54.4)\", \"bbox\": [140, 66, 173, 76]}, {\"cell\": \"78 (50.6)\", \"bbox\": [213, 66, 242, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 66, 310, 76]}, {\"cell\": \"1.30 [0.81;2.07]\", \"bbox\": [331, 66, 380, 76]}, {\"cell\": \"1.30 [0.76;2.24]\", \"bbox\": [419, 66, 467, 76]}, {\"cell\": \"<b>Age (months)</b>\", \"bbox\": [1, 78, 50, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"19 a 48\", \"bbox\": [1, 90, 27, 100]}, {\"cell\": \"137 (48.4)\", \"bbox\": [140, 90, 173, 100]}, {\"cell\": \"76 (55.5)\", \"bbox\": [213, 90, 242, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 90, 310, 100]}, {\"cell\": \"1\", \"bbox\": [353, 90, 359, 100]}, {\"cell\": \"1\", \"bbox\": [440, 90, 446, 100]}, {\"cell\": \"0 a 18\", \"bbox\": [1, 102, 23, 112]}, {\"cell\": \"146 (51.6)\", \"bbox\": [140, 102, 173, 112]}, {\"cell\": \"59 (40.4)\", \"bbox\": [213, 102, 242, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 102, 310, 112]}, {\"cell\": \"0.54 [0.34;0.87]\", \"bbox\": [331, 102, 380, 112]}, {\"cell\": \"0.64 [0.36;1.15]\", \"bbox\": [419, 102, 467, 112]}, {\"cell\": \"<b>Maternal literacy</b>\", \"bbox\": [1, 114, 61, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Illiterate/primary\", \"bbox\": [1, 126, 54, 136]}, {\"cell\": \"60 (21.2)\", \"bbox\": [144, 126, 173, 136]}, {\"cell\": \"32 (53.3)\", \"bbox\": [213, 126, 242, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 126, 310, 136]}, {\"cell\": \"1\", \"bbox\": [353, 126, 359, 136]}, {\"cell\": \"1\", \"bbox\": [440, 126, 446, 136]}, {\"cell\": \"Secondary incomplete\", \"bbox\": [1, 138, 74, 148]}, {\"cell\": \"129 (45.6)\", \"bbox\": [140, 138, 173, 148]}, {\"cell\": \"57 (44.2)\", \"bbox\": [213, 138, 242, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 138, 310, 148]}, {\"cell\": \"0.69 [0.37;1.28]\", \"bbox\": [331, 138, 380, 148]}, {\"cell\": \"0.84 [0.41;1. 70]\", \"bbox\": [417, 138, 468, 148]}, {\"cell\": \"Secondary completeor more\", \"bbox\": [1, 150, 68, 168]}, {\"cell\": \"94 (33.2)\", \"bbox\": [144, 150, 173, 159]}, {\"cell\": \"46 (48.9)\", \"bbox\": [213, 150, 242, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 150, 310, 159]}, {\"cell\": \"0.84 [0.44;1.60]\", \"bbox\": [331, 150, 380, 159]}, {\"cell\": \"1.16 [0.55;2.45]\", \"bbox\": [419, 150, 467, 159]}, {\"cell\": \"<b>Sewer system</b>\", \"bbox\": [1, 171, 50, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [1, 183, 13, 192]}, {\"cell\": \"141 (49.8)\", \"bbox\": [140, 183, 173, 192]}, {\"cell\": \"62 (44.0)\", \"bbox\": [213, 183, 242, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 183, 310, 192]}, {\"cell\": \"1\", \"bbox\": [353, 183, 359, 192]}, {\"cell\": \"1\", \"bbox\": [440, 183, 446, 192]}, {\"cell\": \"No\", \"bbox\": [1, 195, 12, 204]}, {\"cell\": \"142 (50.2)\", \"bbox\": [140, 195, 173, 204]}, {\"cell\": \"73 (51.4)\", \"bbox\": [213, 195, 242, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 195, 310, 204]}, {\"cell\": \"1.35 [0.84;2.15]\", \"bbox\": [331, 195, 380, 204]}, {\"cell\": \"1.40 [0.82;2.37]\", \"bbox\": [419, 195, 467, 204]}, {\"cell\": \"<b><i>Trichuris e</i>ggs</b>\", \"bbox\": [1, 207, 50, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 219, 12, 228]}, {\"cell\": \"247 (87.3)\", \"bbox\": [140, 219, 173, 228]}, {\"cell\": \"112 (45.3)\", \"bbox\": [209, 219, 242, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 219, 310, 228]}, {\"cell\": \"1\", \"bbox\": [353, 219, 359, 228]}, {\"cell\": \"1\", \"bbox\": [440, 219, 446, 228]}, {\"cell\": \"Yes\", \"bbox\": [1, 231, 13, 240]}, {\"cell\": \"36 (12.7)\", \"bbox\": [144, 231, 173, 240]}, {\"cell\": \"23 (63.9)\", \"bbox\": [213, 231, 242, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 231, 310, 240]}, {\"cell\": \"2.13 [1.03;4.40]\", \"bbox\": [331, 231, 380, 240]}, {\"cell\": \"1.52 [0.66;3.50]\", \"bbox\": [419, 231, 467, 240]}, {\"cell\": \"<b><i>Ascaris </i>eggs</b>\", \"bbox\": [1, 243, 45, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 255, 12, 264]}, {\"cell\": \"230 (81.3)\", \"bbox\": [140, 255, 173, 264]}, {\"cell\": \"108 (47.0)\", \"bbox\": [209, 255, 242, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 255, 310, 264]}, {\"cell\": \"1\", \"bbox\": [353, 255, 359, 264]}, {\"cell\": \"1\", \"bbox\": [440, 255, 446, 264]}, {\"cell\": \"Yes\", \"bbox\": [1, 266, 13, 276]}, {\"cell\": \"53 (18.7)\", \"bbox\": [144, 266, 173, 276]}, {\"cell\": \"27 (50.9)\", \"bbox\": [213, 266, 242, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 266, 310, 276]}, {\"cell\": \"1.17 [0.65;2.13]\", \"bbox\": [331, 266, 380, 276]}, {\"cell\": \"0.64 [0.30;1.39]\", \"bbox\": [419, 266, 467, 276]}, {\"cell\": \"<b>Anti-<i>Ascaris </i>IgE</b>\", \"bbox\": [1, 279, 56, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.35 KU/L\", \"bbox\": [1, 290, 38, 300]}, {\"cell\": \"184 (65,0)\", \"bbox\": [140, 290, 173, 300]}, {\"cell\": \"59 (32,1)\", \"bbox\": [213, 290, 242, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 290, 310, 300]}, {\"cell\": \"1\", \"bbox\": [353, 290, 359, 300]}, {\"cell\": \"1\", \"bbox\": [440, 290, 446, 300]}, {\"cell\": \"≥0.35 KU/L\", \"bbox\": [1, 302, 38, 312]}, {\"cell\": \"99 (35,0)\", \"bbox\": [144, 302, 173, 312]}, {\"cell\": \"76 (76,8)\", \"bbox\": [213, 302, 242, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 302, 310, 312]}, {\"cell\": \"7.00 [4.00;12.25]\", \"bbox\": [330, 302, 382, 312]}, {\"cell\": \"7.29 [3.90;13.64]\", \"bbox\": [417, 302, 469, 312]}, {\"cell\": \"<b>Wheezing in the</b><b>past 12 months</b>\", \"bbox\": [1, 314, 60, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 335, 12, 345]}, {\"cell\": \"181 (64.0)\", \"bbox\": [140, 335, 173, 345]}, {\"cell\": \"80 (44.2)\", \"bbox\": [213, 335, 242, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 335, 310, 345]}, {\"cell\": \"1\", \"bbox\": [353, 335, 359, 345]}, {\"cell\": \"1\", \"bbox\": [440, 335, 446, 345]}, {\"cell\": \"Yes\", \"bbox\": [1, 347, 13, 357]}, {\"cell\": \"102 (36.0)\", \"bbox\": [140, 347, 173, 357]}, {\"cell\": \"55 (53.9)\", \"bbox\": [213, 347, 242, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 347, 310, 357]}, {\"cell\": \"1.48 [0.91;2.41]\", \"bbox\": [331, 347, 380, 357]}, {\"cell\": \"1.02 [0.57;1.80]\", \"bbox\": [419, 347, 467, 357]}, {\"cell\": \"<b>Days with diarrhoea</b>\", \"bbox\": [1, 359, 73, 369]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [1, 371, 20, 381]}, {\"cell\": \"50 (17.7)\", \"bbox\": [144, 371, 173, 381]}, {\"cell\": \"27 (54.0)\", \"bbox\": [213, 371, 242, 381]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 371, 310, 381]}, {\"cell\": \"1\", \"bbox\": [353, 371, 359, 381]}, {\"cell\": \"1\", \"bbox\": [440, 371, 446, 381]}, {\"cell\": \"<6 days of duration\", \"bbox\": [1, 383, 66, 393]}, {\"cell\": \"121 (42.8)\", \"bbox\": [140, 383, 173, 393]}, {\"cell\": \"59 (48.8)\", \"bbox\": [213, 383, 242, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 383, 310, 393]}, {\"cell\": \"0.81 [0.42;1.57]\", \"bbox\": [331, 383, 380, 393]}, {\"cell\": \"0.84 [0.40;1.80]\", \"bbox\": [419, 383, 467, 393]}, {\"cell\": \"≥6 days of duration\", \"bbox\": [1, 395, 66, 405]}, {\"cell\": \"112 (39.6)\", \"bbox\": [140, 395, 173, 405]}, {\"cell\": \"49 (43.8)\", \"bbox\": [213, 395, 242, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 395, 310, 405]}, {\"cell\": \"0.66 [0.34; 1.29]\", \"bbox\": [330, 395, 381, 405]}, {\"cell\": \"0.99 [0.44;2.24]\", \"bbox\": [419, 395, 467, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2939601_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}590{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Insert</b></td><td><b>Primer sequence</b></td><td><b>Restriction sites/feature</b></td></tr></thead><tbody><tr><td>GFP insert 1</td><td>GGG <underline>GAATTC</underline> ATGAGTAAAGGAGAAGAACTTT</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GGG <underline>TCTAGA</underline><i>GGCGGCGGC </i>TTTGTAGAGCTCATCCATGCC</td><td>[EMPTY_CELL]</td></tr><tr><td>GFP insert 2</td><td>GCG <underline>CCGCGG</underline> TG ATGAGTAAAGGAGAAGAACTTT</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GGG <underline>TCTAGA</underline> CC <i>TGGACCACCACC</i>TTTGTATAGTTCATCCATGCCA</td><td>[EMPTY_CELL]</td></tr><tr><td>LARD0 insert</td><td>GCG <underline>ATCGAT</underline> A <i>(CCAGGT) × 5 </i>TCGTCCCTCGGCGTGCATG</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GCG <underline>GGTACC</underline> TCAACTGATCAGCACACCCT</td><td>[EMPTY_CELL]</td></tr><tr><td>LARD-1 insert</td><td>AC <underline>TCTAGA</underline><i>ATTGAAGGACGA </i>TCCATCGCCAACCTGTCG</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GGG <underline>AAGCTT</underline> ATGAACCGCCGATAATCCGT</td><td>[EMPTY_CELL]</td></tr><tr><td>TliA insert 1</td><td>AC <underline>TCTAGA</underline><i>ATTGAAGGACGA </i>ATGGGTGTATTTGACTACAAGA</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GGG <underline>AAGCTT</underline> ATGAACCGCCGATAATCCGT</td><td>[EMPTY_CELL]</td></tr><tr><td>TliA insert 2</td><td>GGG <underline>GGTACC</underline><i>GGAGGA </i>ATGGTGATTTGACTACAAGA</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GGG <underline>AAGCTT</underline> TCAACTGATCAGCACACCCT</td><td>[EMPTY_CELL]</td></tr><tr><td>TliA insert 3</td><td>GGG <underline>ATCGAT</underline><i>GGA </i>ATGGGTGTATTTGACTACAAGA</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GGG <underline>GGATCC</underline> TCCTCC ACTGATCAGCACACCCTCG</td><td>[EMPTY_CELL]</td></tr><tr><td>EGF insert</td><td>GGG <underline>GAATTC</underline> ATGAATAGTGACTCTGAATGTCC</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GGG <underline>TCTAGA</underline> GCGCAGTTCCCACCACTTC</td><td>[EMPTY_CELL]</td></tr><tr><td>GFP-LARD0 insert</td><td>GCG <underline>GGTACC</underline><i>CCAGGTGGT </i>ATGACCATGATTACGCCAAG</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>TAATACGACTCACTATAGGG</td><td>[EMPTY_CELL]</td></tr><tr><td>GFP-TliA insert</td><td>CG <underline>GGTACC</underline><i>CCAGGT </i>ATGAGTAAAGGAGAAGAACTTT</td><td>[EMPTY_CELL]</td></tr><tr><td>GFP-LARD1 insert</td><td>ATCTTCTCTCATCCGCCAAA</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Insert</b>\", \"bbox\": [4, 5, 29, 14]}, {\"cell\": \"<b>Primer sequence</b>\", \"bbox\": [88, 5, 156, 14]}, {\"cell\": \"<b>Restriction sites/feature</b>\", \"bbox\": [385, 5, 479, 14]}, {\"cell\": \"GFP insert 1\", \"bbox\": [4, 27, 48, 36]}, {\"cell\": \"GGG <underline>GAATTC</underline> ATGAGTAAAGGAGAAGAACTTT\", \"bbox\": [88, 27, 268, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 27, 407, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG <underline>TCTAGA</underline><i>GGCGGCGGC </i>TTTGTAGAGCTCATCCATGCC\", \"bbox\": [88, 37, 306, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 37, 424, 47]}, {\"cell\": \"GFP insert 2\", \"bbox\": [4, 47, 48, 57]}, {\"cell\": \"GCG <underline>CCGCGG</underline> TG ATGAGTAAAGGAGAAGAACTTT\", \"bbox\": [88, 47, 284, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 47, 402, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG <underline>TCTAGA</underline> CC <i>TGGACCACCACC</i>TTTGTATAGTTCATCCATGCCA\", \"bbox\": [88, 57, 334, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 57, 430, 67]}, {\"cell\": \"LARD0 insert\", \"bbox\": [4, 68, 53, 77]}, {\"cell\": \"GCG <underline>ATCGAT</underline> A <i>(CCAGGT) × 5 </i>TCGTCCCTCGGCGTGCATG\", \"bbox\": [88, 68, 310, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 68, 459, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GCG <underline>GGTACC</underline> TCAACTGATCAGCACACCCT\", \"bbox\": [88, 78, 259, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 78, 403, 88]}, {\"cell\": \"LARD-1 insert\", \"bbox\": [4, 88, 55, 98]}, {\"cell\": \"AC <underline>TCTAGA</underline><i>ATTGAAGGACGA </i>TCCATCGCCAACCTGTCG\", \"bbox\": [88, 88, 295, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 88, 422, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG <underline>AAGCTT</underline> ATGAACCGCCGATAATCCGT\", \"bbox\": [88, 99, 258, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 99, 410, 108]}, {\"cell\": \"TliA insert 1\", \"bbox\": [4, 109, 48, 118]}, {\"cell\": \"AC <underline>TCTAGA</underline><i>ATTGAAGGACGA </i>ATGGGTGTATTTGACTACAAGA\", \"bbox\": [88, 109, 315, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 109, 422, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG <underline>AAGCTT</underline> ATGAACCGCCGATAATCCGT\", \"bbox\": [88, 119, 258, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 119, 410, 129]}, {\"cell\": \"TliA insert 2\", \"bbox\": [4, 129, 48, 139]}, {\"cell\": \"GGG <underline>GGTACC</underline><i>GGAGGA </i>ATGGTGATTTGACTACAAGA\", \"bbox\": [88, 129, 286, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 129, 419, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG <underline>AAGCTT</underline> TCAACTGATCAGCACACCCT\", \"bbox\": [88, 140, 258, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 140, 410, 149]}, {\"cell\": \"TliA insert 3\", \"bbox\": [4, 150, 48, 159]}, {\"cell\": \"GGG <underline>ATCGAT</underline><i>GGA </i>ATGGGTGTATTTGACTACAAGA\", \"bbox\": [88, 150, 282, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 150, 411, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG <underline>GGATCC</underline> TCCTCC ACTGATCAGCACACCCTCG\", \"bbox\": [88, 160, 290, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 160, 410, 170]}, {\"cell\": \"EGF insert\", \"bbox\": [4, 170, 42, 180]}, {\"cell\": \"GGG <underline>GAATTC</underline> ATGAATAGTGACTCTGAATGTCC\", \"bbox\": [88, 170, 273, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 170, 407, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GGG <underline>TCTAGA</underline> GCGCAGTTCCCACCACTTC\", \"bbox\": [88, 180, 253, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 180, 403, 190]}, {\"cell\": \"GFP-LARD0 insert\", \"bbox\": [4, 191, 69, 200]}, {\"cell\": \"GCG <underline>GGTACC</underline><i>CCAGGTGGT </i>ATGACCATGATTACGCCAAG\", \"bbox\": [88, 191, 301, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 191, 426, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TAATACGACTCACTATAGGG\", \"bbox\": [88, 201, 201, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 201, 408, 211]}, {\"cell\": \"GFP-TliA insert\", \"bbox\": [4, 211, 59, 221]}, {\"cell\": \"CG <underline>GGTACC</underline><i>CCAGGT </i>ATGAGTAAAGGAGAAGAACTTT\", \"bbox\": [88, 211, 291, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 211, 418, 221]}, {\"cell\": \"GFP-LARD1 insert\", \"bbox\": [4, 222, 69, 231]}, {\"cell\": \"ATCTTCTCTCATCCGCCAAA\", \"bbox\": [88, 222, 200, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 222, 415, 231]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2642768_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}591{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Water source</b></td><td><b>Number examined (%)</b></td><td><b>Number infected (%)</b></td><td><b>Odds ratio (95 % CI)</b></td><td><b><i>P-</i>value</b></td><td><b>ECAM (95 % CI)</b></td></tr></thead><tbody><tr><td>Borehole</td><td>463 (100)</td><td>110 (23.76)</td><td>1.13 (0.78–1.65)</td><td>0.5052</td><td>[EMPTY_CELL]</td></tr><tr><td>Dam</td><td>174 (100)</td><td>87 (50)</td><td>3.63 (2.38–5.58)</td><td>< 0.0001</td><td>[EMPTY_CELL]</td></tr><tr><td>Pond</td><td>120 (100)</td><td>49 (40.83)</td><td>2.51 (1.56–4.04)</td><td>0.0001</td><td>[EMPTY_CELL]</td></tr><tr><td>River</td><td>53 (100)</td><td>19 (35.85)</td><td>2.03 (1.06–3.84)</td><td>0.0274</td><td>[EMPTY_CELL]</td></tr><tr><td>Stream</td><td>198 (100)</td><td>75 (37.88)</td><td>2.22 (1.46–3.38)</td><td>0.0002</td><td>[EMPTY_CELL]</td></tr><tr><td>Well</td><td>243 (100)</td><td>72 (29.63)</td><td>1.53 (1.02–2.32)</td><td>0.0406</td><td>[EMPTY_CELL]</td></tr><tr><td>Tap</td><td>246 (100)</td><td>53 (21.54)</td><td>1.00 (0.65–1.54)</td><td>1.0000</td><td>[EMPTY_CELL]</td></tr><tr><td>Sachet</td><td>2 (100)</td><td>0</td><td>0</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Recreational activities</td></tr><tr><td> Swimming</td><td>237 (100)</td><td>24 (10.13)</td><td>1.32 (0.73–2.37)</td><td>0.3523</td><td>[EMPTY_CELL]</td></tr><tr><td> Playing in shallow water</td><td>330 (100)</td><td>26 (7.88)</td><td>1</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td> Swimming & playing in shallow water</td><td>151 (100)</td><td>84 (55.63)</td><td>14.55 (8.78–24.64)</td><td>< 0.0001</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Water source</b>\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"<b>Number examined (%)</b>\", \"bbox\": [135, 4, 209, 13]}, {\"cell\": \"<b>Number infected (%)</b>\", \"bbox\": [216, 4, 284, 13]}, {\"cell\": \"<b>Odds ratio (95 % CI)</b>\", \"bbox\": [291, 4, 357, 13]}, {\"cell\": \"<b><i>P-</i>value</b>\", \"bbox\": [364, 4, 389, 13]}, {\"cell\": \"<b>ECAM (95 % CI)</b>\", \"bbox\": [400, 4, 452, 13]}, {\"cell\": \"Borehole\", \"bbox\": [0, 17, 31, 27]}, {\"cell\": \"463 (100)\", \"bbox\": [135, 17, 166, 27]}, {\"cell\": \"110 (23.76)\", \"bbox\": [216, 17, 252, 27]}, {\"cell\": \"1.13 (0.78–1.65)\", \"bbox\": [291, 17, 342, 27]}, {\"cell\": \"0.5052\", \"bbox\": [364, 17, 387, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 17, 481, 27]}, {\"cell\": \"Dam\", \"bbox\": [0, 31, 18, 41]}, {\"cell\": \"174 (100)\", \"bbox\": [135, 31, 166, 41]}, {\"cell\": \"87 (50)\", \"bbox\": [216, 31, 239, 41]}, {\"cell\": \"3.63 (2.38–5.58)\", \"bbox\": [291, 31, 342, 41]}, {\"cell\": \"< 0.0001\", \"bbox\": [364, 31, 394, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 31, 484, 41]}, {\"cell\": \"Pond\", \"bbox\": [0, 45, 19, 55]}, {\"cell\": \"120 (100)\", \"bbox\": [135, 45, 166, 55]}, {\"cell\": \"49 (40.83)\", \"bbox\": [216, 45, 248, 55]}, {\"cell\": \"2.51 (1.56–4.04)\", \"bbox\": [291, 45, 342, 55]}, {\"cell\": \"0.0001\", \"bbox\": [364, 45, 387, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 45, 481, 55]}, {\"cell\": \"River\", \"bbox\": [0, 59, 18, 69]}, {\"cell\": \"53 (100)\", \"bbox\": [135, 59, 162, 69]}, {\"cell\": \"19 (35.85)\", \"bbox\": [216, 59, 248, 69]}, {\"cell\": \"2.03 (1.06–3.84)\", \"bbox\": [291, 59, 342, 69]}, {\"cell\": \"0.0274\", \"bbox\": [364, 59, 387, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 59, 477, 69]}, {\"cell\": \"Stream\", \"bbox\": [0, 73, 25, 83]}, {\"cell\": \"198 (100)\", \"bbox\": [135, 73, 166, 83]}, {\"cell\": \"75 (37.88)\", \"bbox\": [216, 73, 248, 83]}, {\"cell\": \"2.22 (1.46–3.38)\", \"bbox\": [291, 73, 342, 83]}, {\"cell\": \"0.0002\", \"bbox\": [364, 73, 387, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 73, 481, 83]}, {\"cell\": \"Well\", \"bbox\": [0, 87, 16, 97]}, {\"cell\": \"243 (100)\", \"bbox\": [135, 87, 166, 97]}, {\"cell\": \"72 (29.63)\", \"bbox\": [216, 87, 248, 97]}, {\"cell\": \"1.53 (1.02–2.32)\", \"bbox\": [291, 87, 342, 97]}, {\"cell\": \"0.0406\", \"bbox\": [364, 87, 387, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 87, 484, 97]}, {\"cell\": \"Tap\", \"bbox\": [0, 101, 14, 111]}, {\"cell\": \"246 (100)\", \"bbox\": [135, 101, 166, 111]}, {\"cell\": \"53 (21.54)\", \"bbox\": [216, 101, 248, 111]}, {\"cell\": \"1.00 (0.65–1.54)\", \"bbox\": [291, 101, 342, 111]}, {\"cell\": \"1.0000\", \"bbox\": [364, 101, 387, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 101, 477, 111]}, {\"cell\": \"Sachet\", \"bbox\": [0, 115, 24, 125]}, {\"cell\": \"2 (100)\", \"bbox\": [135, 115, 159, 125]}, {\"cell\": \"0\", \"bbox\": [216, 115, 221, 125]}, {\"cell\": \"0\", \"bbox\": [291, 115, 297, 125]}, {\"cell\": \"–\", \"bbox\": [364, 119, 370, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 115, 406, 125]}, {\"cell\": \"Recreational activities\", \"bbox\": [0, 129, 71, 139]}, {\"cell\": \" Swimming\", \"bbox\": [4, 143, 41, 153]}, {\"cell\": \"237 (100)\", \"bbox\": [135, 143, 166, 153]}, {\"cell\": \"24 (10.13)\", \"bbox\": [216, 143, 248, 153]}, {\"cell\": \"1.32 (0.73–2.37)\", \"bbox\": [291, 143, 342, 153]}, {\"cell\": \"0.3523\", \"bbox\": [364, 143, 387, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 143, 477, 153]}, {\"cell\": \" Playing in shallow water\", \"bbox\": [4, 157, 84, 167]}, {\"cell\": \"330 (100)\", \"bbox\": [135, 157, 166, 167]}, {\"cell\": \"26 (7.88)\", \"bbox\": [216, 157, 245, 167]}, {\"cell\": \"1\", \"bbox\": [291, 157, 297, 167]}, {\"cell\": \"–\", \"bbox\": [364, 161, 370, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 157, 477, 167]}, {\"cell\": \" Swimming & playing in shallow water\", \"bbox\": [4, 171, 128, 180]}, {\"cell\": \"151 (100)\", \"bbox\": [135, 171, 166, 180]}, {\"cell\": \"84 (55.63)\", \"bbox\": [216, 171, 248, 180]}, {\"cell\": \"14.55 (8.78–24.64)\", \"bbox\": [291, 171, 350, 180]}, {\"cell\": \"< 0.0001\", \"bbox\": [364, 171, 394, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 171, 484, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4936285_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}592{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Loading Device</b></td><td><b>Sample Size</b></td><td><b>Survival Rate</b></td><td><b>Implantation Rate</b></td><td><b>Pregnancy Rate</b></td></tr></thead><tbody><tr><td><b>Mukaida <i>et al</i>, 2001</b>[8]</td><td>Cryoloop</td><td>[EMPTY_CELL]</td><td>63%</td><td>--</td><td>31%</td></tr><tr><td><b>Cho, 2002 <i>et al </i></b>[21]</td><td>EM grid</td><td>[EMPTY_CELL]</td><td>83%</td><td>--</td><td>34%</td></tr><tr><td><b>Reed <i>et al</i>, 2002</b>[10]</td><td>Cryoloop</td><td>[EMPTY_CELL]</td><td>100%</td><td>15%</td><td>--</td></tr><tr><td><b>Mukaida <i>et al</i>, 2003</b>[9]</td><td>Cryoloop</td><td>[EMPTY_CELL]</td><td>80%</td><td>20%</td><td>37%</td></tr><tr><td><b>Osada <i>et al</i>, 2003</b>[11]</td><td>Cryotop</td><td>[EMPTY_CELL]</td><td>99%</td><td>--</td><td>56%</td></tr><tr><td><b>Stehlik <i>et al</i>, 2005</b>[12]</td><td>Cryotop</td><td>[EMPTY_CELL]</td><td>100%</td><td>--</td><td>50%</td></tr><tr><td><b>Takahashi <i>et al</i>, 2005</b>[19]</td><td>Cryoloop</td><td>[EMPTY_CELL]</td><td>86%</td><td>29%</td><td>44%</td></tr><tr><td><b>Kuwayama <i>et al</i>, 2005</b>[18]</td><td>Cryotip</td><td>[EMPTY_CELL]</td><td>90%</td><td>--</td><td>53%</td></tr><tr><td><b>Liebermann <i>et al</i>, 2006</b>[13]</td><td>Cryotop</td><td>[EMPTY_CELL]</td><td>97%</td><td>31%</td><td>46%</td></tr><tr><td><b>Mukaida <i>et al</i>, 2008</b>[29]</td><td>Cryoloop</td><td>[EMPTY_CELL]</td><td>92%</td><td>36%</td><td>49%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Loading Device</b>\", \"bbox\": [134, 5, 195, 14]}, {\"cell\": \"<b>Sample Size</b>\", \"bbox\": [210, 5, 259, 14]}, {\"cell\": \"<b>Survival Rate</b>\", \"bbox\": [273, 5, 326, 14]}, {\"cell\": \"<b>Implantation Rate</b>\", \"bbox\": [342, 5, 414, 14]}, {\"cell\": \"<b>Pregnancy Rate</b>\", \"bbox\": [430, 5, 493, 14]}, {\"cell\": \"<b>Mukaida <i>et al</i>, 2001</b>[8]\", \"bbox\": [4, 27, 90, 36]}, {\"cell\": \"Cryoloop\", \"bbox\": [148, 27, 182, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 27, 248, 36]}, {\"cell\": \"63%\", \"bbox\": [292, 27, 308, 36]}, {\"cell\": \"--\", \"bbox\": [374, 27, 381, 36]}, {\"cell\": \"31%\", \"bbox\": [453, 27, 469, 36]}, {\"cell\": \"<b>Cho, 2002 <i>et al </i></b>[21]\", \"bbox\": [4, 37, 80, 47]}, {\"cell\": \"EM grid\", \"bbox\": [151, 37, 179, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 37, 248, 47]}, {\"cell\": \"83%\", \"bbox\": [292, 37, 308, 47]}, {\"cell\": \"--\", \"bbox\": [374, 37, 381, 47]}, {\"cell\": \"34%\", \"bbox\": [453, 37, 469, 47]}, {\"cell\": \"<b>Reed <i>et al</i>, 2002</b>[10]\", \"bbox\": [4, 47, 81, 57]}, {\"cell\": \"Cryoloop\", \"bbox\": [148, 47, 182, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 47, 248, 57]}, {\"cell\": \"100%\", \"bbox\": [290, 47, 310, 57]}, {\"cell\": \"15%\", \"bbox\": [370, 47, 386, 57]}, {\"cell\": \"--\", \"bbox\": [458, 47, 465, 57]}, {\"cell\": \"<b>Mukaida <i>et al</i>, 2003</b>[9]\", \"bbox\": [4, 58, 90, 67]}, {\"cell\": \"Cryoloop\", \"bbox\": [148, 58, 182, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 58, 250, 67]}, {\"cell\": \"80%\", \"bbox\": [292, 58, 308, 67]}, {\"cell\": \"20%\", \"bbox\": [370, 58, 386, 67]}, {\"cell\": \"37%\", \"bbox\": [453, 58, 469, 67]}, {\"cell\": \"<b>Osada <i>et al</i>, 2003</b>[11]\", \"bbox\": [4, 68, 86, 77]}, {\"cell\": \"Cryotop\", \"bbox\": [150, 68, 180, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 68, 250, 77]}, {\"cell\": \"99%\", \"bbox\": [292, 68, 308, 77]}, {\"cell\": \"--\", \"bbox\": [374, 68, 381, 77]}, {\"cell\": \"56%\", \"bbox\": [453, 68, 469, 77]}, {\"cell\": \"<b>Stehlik <i>et al</i>, 2005</b>[12]\", \"bbox\": [4, 78, 88, 88]}, {\"cell\": \"Cryotop\", \"bbox\": [150, 78, 180, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 78, 248, 88]}, {\"cell\": \"100%\", \"bbox\": [290, 78, 310, 88]}, {\"cell\": \"--\", \"bbox\": [374, 78, 381, 88]}, {\"cell\": \"50%\", \"bbox\": [453, 78, 469, 88]}, {\"cell\": \"<b>Takahashi <i>et al</i>, 2005</b>[19]\", \"bbox\": [4, 88, 100, 98]}, {\"cell\": \"Cryoloop\", \"bbox\": [148, 88, 182, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 88, 252, 98]}, {\"cell\": \"86%\", \"bbox\": [292, 88, 308, 98]}, {\"cell\": \"29%\", \"bbox\": [370, 88, 386, 98]}, {\"cell\": \"44%\", \"bbox\": [453, 88, 469, 98]}, {\"cell\": \"<b>Kuwayama <i>et al</i>, 2005</b>[18]\", \"bbox\": [4, 99, 104, 108]}, {\"cell\": \"Cryotip\", \"bbox\": [151, 99, 179, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 99, 252, 108]}, {\"cell\": \"90%\", \"bbox\": [292, 99, 308, 108]}, {\"cell\": \"--\", \"bbox\": [374, 99, 381, 108]}, {\"cell\": \"53%\", \"bbox\": [453, 99, 469, 108]}, {\"cell\": \"<b>Liebermann <i>et al</i>, 2006</b>[13]\", \"bbox\": [4, 109, 108, 118]}, {\"cell\": \"Cryotop\", \"bbox\": [150, 109, 180, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 109, 250, 118]}, {\"cell\": \"97%\", \"bbox\": [292, 109, 308, 118]}, {\"cell\": \"31%\", \"bbox\": [370, 109, 386, 118]}, {\"cell\": \"46%\", \"bbox\": [453, 109, 469, 118]}, {\"cell\": \"<b>Mukaida <i>et al</i>, 2008</b>[29]\", \"bbox\": [4, 119, 94, 129]}, {\"cell\": \"Cryoloop\", \"bbox\": [148, 119, 182, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 119, 252, 129]}, {\"cell\": \"92%\", \"bbox\": [292, 119, 308, 129]}, {\"cell\": \"36%\", \"bbox\": [370, 119, 386, 129]}, {\"cell\": \"49%\", \"bbox\": [453, 119, 469, 129]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2757025_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}593{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Experimental group</b></td><td><b>Control group</b></td><td><b>RR/mean difference</b></td><td><b>p-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>(95% CI)</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>n = 500</b></td><td><b>n = 502</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>n (%)</b></td><td><b>n (%)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td><b>Blood loss</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>0-499 ml</td><td><b>207 (41.4)</b></td><td>[EMPTY_CELL]</td><td><b>1.0 Ref</b>.</td><td>[EMPTY_CELL]</td></tr><tr><td>500-999 ml</td><td><b>214 (42.8)</b></td><td>[EMPTY_CELL]</td><td><b>1.20 (1.03-1.41)</b></td><td><b>0. 007</b></td></tr><tr><td>1000-1499 ml</td><td><b>44 (8.8)</b></td><td>[EMPTY_CELL]</td><td><b>1.13 (0.94-1.47)</b></td><td><b>0. 225</b></td></tr><tr><td>1500 ml or above</td><td><b>32 (6.4)</b></td><td>[EMPTY_CELL]</td><td><b>1.1 (0. 84-1.42)</b></td><td><b>0. 622</b></td></tr><tr><td><b>Mean blood loss in ml. (SD)</b></td><td><b>652 (± 444)</b></td><td>[EMPTY_CELL]</td><td><b>45.9</b></td><td><b>0. 109</b></td></tr><tr><td><b>Manuel removal of placenta*</b></td><td><b>13 (2.6)</b></td><td>[EMPTY_CELL]</td><td><b>0.90 (0.59-1.35)</b></td><td><b>0. 579</b></td></tr><tr><td><b>Blood transfusion*</b></td><td><b>19 (3.8)</b></td><td>[EMPTY_CELL]</td><td><b>0.93 (0.66-1.29)</b></td><td><b>0. 641</b></td></tr><tr><td><b>Hb </b>36-48 hours postpartum g/l (SD)</td><td><b>111 (±16)</b></td><td>[EMPTY_CELL]</td><td><b>- 1, 933</b></td><td><b>0. 101</b></td></tr><tr><td><b>Hb </b>8-12 week postpartum, g/l (SD)</td><td><b>112 (±48)</b></td><td>[EMPTY_CELL]</td><td><b>0. 757</b></td><td><b>0. 900</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Experimental group</b>\", \"bbox\": [162, 4, 233, 13]}, {\"cell\": \"<b>Control group</b>\", \"bbox\": [263, 4, 314, 13]}, {\"cell\": \"<b>RR/mean difference</b>\", \"bbox\": [344, 4, 414, 13]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [444, 4, 472, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>(95% CI)</b>\", \"bbox\": [364, 16, 395, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n = 500</b>\", \"bbox\": [183, 28, 212, 37]}, {\"cell\": \"<b>n = 502</b>\", \"bbox\": [274, 28, 303, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n (%)</b>\", \"bbox\": [188, 40, 208, 49]}, {\"cell\": \"<b>n (%)</b>\", \"bbox\": [279, 40, 299, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Blood loss</b>\", \"bbox\": [1, 53, 38, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0-499 ml\", \"bbox\": [1, 65, 31, 74]}, {\"cell\": \"<b>207 (41.4)</b>\", \"bbox\": [180, 65, 216, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 65, 307, 74]}, {\"cell\": \"<b>1.0 Ref</b>.\", \"bbox\": [365, 65, 393, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"500-999 ml\", \"bbox\": [1, 77, 38, 86]}, {\"cell\": \"<b>214 (42.8)</b>\", \"bbox\": [180, 77, 216, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 77, 307, 86]}, {\"cell\": \"<b>1.20 (1.03-1.41)</b>\", \"bbox\": [351, 77, 407, 86]}, {\"cell\": \"<b>0. 007</b>\", \"bbox\": [446, 77, 469, 86]}, {\"cell\": \"1000-1499 ml\", \"bbox\": [1, 89, 46, 98]}, {\"cell\": \"<b>44 (8.8)</b>\", \"bbox\": [184, 89, 212, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 89, 303, 98]}, {\"cell\": \"<b>1.13 (0.94-1.47)</b>\", \"bbox\": [351, 89, 407, 98]}, {\"cell\": \"<b>0. 225</b>\", \"bbox\": [446, 89, 469, 98]}, {\"cell\": \"1500 ml or above\", \"bbox\": [1, 101, 60, 110]}, {\"cell\": \"<b>32 (6.4)</b>\", \"bbox\": [184, 101, 212, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 101, 303, 110]}, {\"cell\": \"<b>1.1 (0. 84-1.42)</b>\", \"bbox\": [352, 101, 406, 110]}, {\"cell\": \"<b>0. 622</b>\", \"bbox\": [446, 101, 469, 110]}, {\"cell\": \"<b>Mean blood loss in ml. (SD)</b>\", \"bbox\": [1, 125, 99, 134]}, {\"cell\": \"<b>652 (± 444)</b>\", \"bbox\": [177, 125, 219, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 125, 310, 134]}, {\"cell\": \"<b>45.9</b>\", \"bbox\": [371, 125, 387, 134]}, {\"cell\": \"<b>0. 109</b>\", \"bbox\": [446, 125, 469, 134]}, {\"cell\": \"<b>Manuel removal of placenta*</b>\", \"bbox\": [1, 149, 104, 158]}, {\"cell\": \"<b>13 (2.6)</b>\", \"bbox\": [184, 149, 212, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 149, 303, 158]}, {\"cell\": \"<b>0.90 (0.59-1.35)</b>\", \"bbox\": [351, 149, 407, 158]}, {\"cell\": \"<b>0. 579</b>\", \"bbox\": [446, 149, 469, 158]}, {\"cell\": \"<b>Blood transfusion*</b>\", \"bbox\": [1, 173, 67, 182]}, {\"cell\": \"<b>19 (3.8)</b>\", \"bbox\": [184, 173, 212, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 173, 303, 182]}, {\"cell\": \"<b>0.93 (0.66-1.29)</b>\", \"bbox\": [351, 173, 407, 182]}, {\"cell\": \"<b>0. 641</b>\", \"bbox\": [446, 173, 469, 182]}, {\"cell\": \"<b>Hb </b>36-48 hours postpartum g/l (SD)\", \"bbox\": [1, 196, 120, 206]}, {\"cell\": \"<b>111 (±16)</b>\", \"bbox\": [180, 196, 215, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 196, 306, 206]}, {\"cell\": \"<b>- 1, 933</b>\", \"bbox\": [365, 196, 393, 206]}, {\"cell\": \"<b>0. 101</b>\", \"bbox\": [446, 196, 469, 206]}, {\"cell\": \"<b>Hb </b>8-12 week postpartum, g/l (SD)\", \"bbox\": [0, 208, 116, 218]}, {\"cell\": \"<b>112 (±48)</b>\", \"bbox\": [180, 208, 215, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 208, 306, 218]}, {\"cell\": \"<b>0. 757</b>\", \"bbox\": [367, 208, 391, 218]}, {\"cell\": \"<b>0. 900</b>\", \"bbox\": [446, 208, 469, 218]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3071335_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}594{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>n</b></td><td colspan=\\\"2\\\"><b>mean (SD) or %</b></td><td>[EMPTY_CELL]</td><td><b>univariate</b></td><td><b>multivariate</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>D</td><td>[EMPTY_CELL]</td><td>D</td><td>ND</td><td><i>P</i>*</td><td>OR (CI)</td><td>OR (CI)</td></tr><tr><td>admission via emergency room</td><td>60/118</td><td>[EMPTY_CELL]</td><td>51%</td><td>46%</td><td>0.22</td><td>1.22 (0.79 to 1.88)</td><td>[EMPTY_CELL]</td></tr><tr><td>admission via transfer</td><td>36/118</td><td>[EMPTY_CELL]</td><td>31%</td><td>18%</td><td>0.006</td><td>1.98 (1.20 to 3.28)</td><td>[EMPTY_CELL]</td></tr><tr><td>open room in intensive care</td><td>52/149</td><td>[EMPTY_CELL]</td><td>35%</td><td>27%</td><td>0.055</td><td>1.43 (0.95 to 2.15)</td><td>[EMPTY_CELL]</td></tr><tr><td>isolation</td><td>16/155</td><td>[EMPTY_CELL]</td><td>10%</td><td>3%</td><td>0.001</td><td>3.74 (1.69 to 8.25)</td><td>2.89 (1.00 to 8.36)</td></tr><tr><td>no visible daylight</td><td>70/155</td><td>[EMPTY_CELL]</td><td>45%</td><td>32%</td><td>0.003</td><td>1.75 (1.19 to 2.56)</td><td>2.39 (1.28 to 4.45)</td></tr><tr><td>no clock present or visible</td><td>19/155</td><td>[EMPTY_CELL]</td><td>12%</td><td>10%</td><td>0.243</td><td>1.29 (0.71 to 2.33)</td><td>[EMPTY_CELL]</td></tr><tr><td>number of visitors</td><td>88</td><td>[EMPTY_CELL]</td><td>2.4 (1.9)</td><td>2.5 (2.0)</td><td>0.70</td><td>0.97 (0.85 to 1.11)</td><td>[EMPTY_CELL]</td></tr><tr><td>no visit</td><td>27/96</td><td>[EMPTY_CELL]</td><td>28%</td><td>12%</td><td>0.001</td><td>2.83 (1.50 to 5.36)</td><td>3.73 (1.75 to 7.93)</td></tr><tr><td>physical restraints</td><td>25/66</td><td>[EMPTY_CELL]</td><td>38%</td><td>2%</td><td><0.001</td><td>33.84 (11.19 to 102.36)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n</b>\", \"bbox\": [160, 9, 166, 19]}, {\"cell\": \"<b>mean (SD) or %</b>\", \"bbox\": [215, 9, 272, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>univariate</b>\", \"bbox\": [323, 9, 358, 19]}, {\"cell\": \"<b>multivariate</b>\", \"bbox\": [424, 9, 464, 19]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"D\", \"bbox\": [138, 25, 146, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 25, 188, 35]}, {\"cell\": \"D\", \"bbox\": [232, 25, 240, 35]}, {\"cell\": \"ND\", \"bbox\": [267, 25, 281, 35]}, {\"cell\": \"<i>P</i>*\", \"bbox\": [287, 25, 297, 35]}, {\"cell\": \"OR (CI)\", \"bbox\": [323, 25, 352, 35]}, {\"cell\": \"OR (CI)\", \"bbox\": [424, 25, 452, 35]}, {\"cell\": \"admission via emergency room\", \"bbox\": [5, 44, 111, 54]}, {\"cell\": \"60/118\", \"bbox\": [128, 44, 156, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 44, 198, 54]}, {\"cell\": \"51%\", \"bbox\": [222, 44, 240, 54]}, {\"cell\": \"46%\", \"bbox\": [262, 44, 281, 54]}, {\"cell\": \"0.22\", \"bbox\": [287, 44, 305, 54]}, {\"cell\": \"1.22 (0.79 to 1.88)\", \"bbox\": [323, 44, 391, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"admission via transfer\", \"bbox\": [5, 63, 80, 73]}, {\"cell\": \"36/118\", \"bbox\": [128, 63, 156, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 63, 196, 73]}, {\"cell\": \"31%\", \"bbox\": [222, 63, 240, 73]}, {\"cell\": \"18%\", \"bbox\": [262, 63, 281, 73]}, {\"cell\": \"0.006\", \"bbox\": [287, 63, 309, 73]}, {\"cell\": \"1.98 (1.20 to 3.28)\", \"bbox\": [323, 63, 391, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"open room in intensive care\", \"bbox\": [5, 82, 100, 92]}, {\"cell\": \"52/149\", \"bbox\": [128, 82, 156, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [167, 82, 195, 92]}, {\"cell\": \"35%\", \"bbox\": [222, 82, 240, 92]}, {\"cell\": \"27%\", \"bbox\": [262, 82, 281, 92]}, {\"cell\": \"0.055\", \"bbox\": [287, 82, 309, 92]}, {\"cell\": \"1.43 (0.95 to 2.15)\", \"bbox\": [323, 82, 391, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"isolation\", \"bbox\": [5, 101, 35, 111]}, {\"cell\": \"16/155\", \"bbox\": [128, 101, 156, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 101, 195, 111]}, {\"cell\": \"10%\", \"bbox\": [222, 101, 240, 111]}, {\"cell\": \"3%\", \"bbox\": [267, 101, 281, 111]}, {\"cell\": \"0.001\", \"bbox\": [287, 101, 309, 111]}, {\"cell\": \"3.74 (1.69 to 8.25)\", \"bbox\": [323, 101, 391, 111]}, {\"cell\": \"2.89 (1.00 to 8.36)\", \"bbox\": [424, 101, 491, 111]}, {\"cell\": \"no visible daylight\", \"bbox\": [5, 120, 67, 130]}, {\"cell\": \"70/155\", \"bbox\": [128, 120, 156, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 120, 198, 130]}, {\"cell\": \"45%\", \"bbox\": [222, 120, 240, 130]}, {\"cell\": \"32%\", \"bbox\": [262, 120, 281, 130]}, {\"cell\": \"0.003\", \"bbox\": [287, 120, 309, 130]}, {\"cell\": \"1.75 (1.19 to 2.56)\", \"bbox\": [323, 120, 391, 130]}, {\"cell\": \"2.39 (1.28 to 4.45)\", \"bbox\": [424, 120, 491, 130]}, {\"cell\": \"no clock present or visible\", \"bbox\": [5, 139, 95, 148]}, {\"cell\": \"19/155\", \"bbox\": [128, 139, 156, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 139, 195, 148]}, {\"cell\": \"12%\", \"bbox\": [222, 139, 240, 148]}, {\"cell\": \"10%\", \"bbox\": [262, 139, 281, 148]}, {\"cell\": \"0.243\", \"bbox\": [287, 139, 309, 148]}, {\"cell\": \"1.29 (0.71 to 2.33)\", \"bbox\": [323, 139, 391, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"number of visitors\", \"bbox\": [5, 157, 67, 167]}, {\"cell\": \"88\", \"bbox\": [136, 157, 148, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [173, 157, 189, 167]}, {\"cell\": \"2.4 (1.9)\", \"bbox\": [209, 157, 240, 167]}, {\"cell\": \"2.5 (2.0)\", \"bbox\": [249, 157, 281, 167]}, {\"cell\": \"0.70\", \"bbox\": [287, 157, 305, 167]}, {\"cell\": \"0.97 (0.85 to 1.11)\", \"bbox\": [323, 157, 391, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"no visit\", \"bbox\": [5, 176, 30, 186]}, {\"cell\": \"27/96\", \"bbox\": [131, 176, 154, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 176, 195, 186]}, {\"cell\": \"28%\", \"bbox\": [222, 176, 240, 186]}, {\"cell\": \"12%\", \"bbox\": [262, 176, 281, 186]}, {\"cell\": \"0.001\", \"bbox\": [287, 176, 309, 186]}, {\"cell\": \"2.83 (1.50 to 5.36)\", \"bbox\": [323, 176, 391, 186]}, {\"cell\": \"3.73 (1.75 to 7.93)\", \"bbox\": [424, 176, 491, 186]}, {\"cell\": \"physical restraints\", \"bbox\": [5, 195, 68, 205]}, {\"cell\": \"25/66\", \"bbox\": [130, 195, 154, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [170, 195, 193, 205]}, {\"cell\": \"38%\", \"bbox\": [222, 195, 240, 205]}, {\"cell\": \"2%\", \"bbox\": [267, 195, 281, 205]}, {\"cell\": \"<0.001\", \"bbox\": [287, 195, 315, 205]}, {\"cell\": \"33.84 (11.19 to 102.36)\", \"bbox\": [323, 195, 410, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2717440_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}595{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Participant</b></td><td colspan=\\\"2\\\"><b>Single words TILTAN screening</b></td><td colspan=\\\"2\\\"><b>Potentiophones</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>%Correct</b></td><td><b>Surface errors</b></td><td><b>%Correct</b></td><td><b>Surface errors</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\"><b>ACQUIRED ANOMIA</b></td></tr><tr><td>DAN</td><td>[EMPTY_CELL]</td><td>16<sup>***</sup></td><td>58%<sup>***</sup></td><td>32<sup>***</sup></td></tr><tr><td>YOS</td><td>[EMPTY_CELL]</td><td>8<sup>***</sup></td><td>81%<sup>***</sup></td><td>12<sup>***</sup></td></tr><tr><td>ZAB</td><td>[EMPTY_CELL]</td><td>6<sup>***</sup></td><td>72%<sup>***</sup></td><td>17<sup>***</sup></td></tr><tr><td>BAR</td><td>[EMPTY_CELL]</td><td>4<sup>**</sup></td><td>82%<sup>***</sup></td><td>14<sup>***</sup></td></tr><tr><td>LER</td><td>[EMPTY_CELL]</td><td>12<sup>***</sup></td><td>51%<sup>***</sup></td><td>25<sup>***</sup></td></tr><tr><td>ARI</td><td>[EMPTY_CELL]</td><td>25<sup>***</sup></td><td>60%<sup>***</sup></td><td>31<sup>***</sup></td></tr><tr><td>NAV</td><td>[EMPTY_CELL]</td><td>8<sup>***</sup></td><td>87%<sup>***</sup></td><td>10<sup>**</sup></td></tr><tr><td>DOR</td><td>[EMPTY_CELL]</td><td>12<sup>***</sup></td><td>83%<sup>***</sup></td><td>15<sup>***</sup></td></tr><tr><td colspan=\\\"5\\\"><b>DEVELOPMENTAL ANOMIA</b></td></tr><tr><td>LEO</td><td>[EMPTY_CELL]</td><td>7<sup>***</sup></td><td>78%<sup>***</sup></td><td>17<sup>***</sup></td></tr><tr><td>TAF</td><td>[EMPTY_CELL]</td><td>27<sup>***</sup></td><td>51%<sup>***</sup></td><td>37<sup>***</sup></td></tr><tr><td>AFI</td><td>[EMPTY_CELL]</td><td>2</td><td>79%<sup>*</sup></td><td>16<sup>*</sup></td></tr><tr><td>ARO</td><td>[EMPTY_CELL]</td><td>64<sup>***</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>MAD</td><td>[EMPTY_CELL]</td><td>17<sup>***</sup></td><td>53%<sup>***</sup></td><td>36<sup>***</sup></td></tr><tr><td>SAN</td><td>[EMPTY_CELL]</td><td>9<sup>***</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>NIV</td><td>[EMPTY_CELL]</td><td>12<sup>***</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>SHL</td><td>[EMPTY_CELL]</td><td>12<sup>***</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\"><b>Control groups M (SD)</b></td></tr><tr><td>Adults, 12 years education and above<i>N</i> = 372</td><td>[EMPTY_CELL]</td><td>1.1 (1.2)</td><td>94.7% (3.6)</td><td>3.7 (2.7)</td></tr><tr><td>7th grade control<i>N</i> = 26</td><td>[EMPTY_CELL]</td><td>3.2 (1.7)</td><td>90.4% (4.6)</td><td>7.1 (3.7)</td></tr><tr><td>5th grade control<i>N</i> = 14</td><td>[EMPTY_CELL]</td><td>2.7 (1.9)</td><td>88.8% (6.7)</td><td>8.4 (5.0)</td></tr><tr><td>4th grade control<i>N</i> = 20</td><td>[EMPTY_CELL]</td><td>7.2 (5.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Participant</b>\", \"bbox\": [1, 6, 39, 15]}, {\"cell\": \"<b>Single words TILTAN screening</b>\", \"bbox\": [64, 6, 169, 15]}, {\"cell\": \"<b>Potentiophones</b>\", \"bbox\": [185, 6, 239, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>%Correct</b>\", \"bbox\": [62, 23, 96, 31]}, {\"cell\": \"<b>Surface errors</b>\", \"bbox\": [123, 23, 151, 43]}, {\"cell\": \"<b>%Correct</b>\", \"bbox\": [177, 23, 212, 31]}, {\"cell\": \"<b>Surface errors</b>\", \"bbox\": [219, 23, 246, 43]}, {\"cell\": \"<b>ACQUIRED ANOMIA</b>\", \"bbox\": [2, 53, 71, 62]}, {\"cell\": \"DAN\", \"bbox\": [1, 64, 17, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 64, 91, 72]}, {\"cell\": \"16<sup>***</sup>\", \"bbox\": [128, 64, 145, 72]}, {\"cell\": \"58%<sup>***</sup>\", \"bbox\": [183, 64, 206, 72]}, {\"cell\": \"32<sup>***</sup>\", \"bbox\": [224, 64, 241, 72]}, {\"cell\": \"YOS\", \"bbox\": [1, 75, 16, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 75, 91, 83]}, {\"cell\": \"8<sup>***</sup>\", \"bbox\": [130, 75, 143, 83]}, {\"cell\": \"81%<sup>***</sup>\", \"bbox\": [183, 75, 206, 83]}, {\"cell\": \"12<sup>***</sup>\", \"bbox\": [224, 75, 241, 83]}, {\"cell\": \"ZAB\", \"bbox\": [1, 85, 16, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 85, 91, 94]}, {\"cell\": \"6<sup>***</sup>\", \"bbox\": [130, 85, 143, 94]}, {\"cell\": \"72%<sup>***</sup>\", \"bbox\": [183, 85, 206, 94]}, {\"cell\": \"17<sup>***</sup>\", \"bbox\": [224, 85, 241, 94]}, {\"cell\": \"BAR\", \"bbox\": [1, 96, 16, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 96, 91, 105]}, {\"cell\": \"4<sup>**</sup>\", \"bbox\": [131, 96, 142, 105]}, {\"cell\": \"82%<sup>***</sup>\", \"bbox\": [183, 96, 206, 105]}, {\"cell\": \"14<sup>***</sup>\", \"bbox\": [224, 96, 241, 105]}, {\"cell\": \"LER\", \"bbox\": [1, 107, 15, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 107, 91, 115]}, {\"cell\": \"12<sup>***</sup>\", \"bbox\": [128, 107, 145, 115]}, {\"cell\": \"51%<sup>***</sup>\", \"bbox\": [183, 107, 206, 115]}, {\"cell\": \"25<sup>***</sup>\", \"bbox\": [224, 107, 241, 115]}, {\"cell\": \"ARI\", \"bbox\": [1, 118, 13, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 118, 91, 126]}, {\"cell\": \"25<sup>***</sup>\", \"bbox\": [128, 118, 145, 126]}, {\"cell\": \"60%<sup>***</sup>\", \"bbox\": [183, 118, 206, 126]}, {\"cell\": \"31<sup>***</sup>\", \"bbox\": [224, 118, 241, 126]}, {\"cell\": \"NAV\", \"bbox\": [1, 128, 16, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 128, 91, 137]}, {\"cell\": \"8<sup>***</sup>\", \"bbox\": [130, 128, 143, 137]}, {\"cell\": \"87%<sup>***</sup>\", \"bbox\": [183, 128, 206, 137]}, {\"cell\": \"10<sup>**</sup>\", \"bbox\": [225, 128, 240, 137]}, {\"cell\": \"DOR\", \"bbox\": [1, 139, 17, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 139, 91, 148]}, {\"cell\": \"12<sup>***</sup>\", \"bbox\": [128, 139, 145, 148]}, {\"cell\": \"83%<sup>***</sup>\", \"bbox\": [183, 139, 206, 148]}, {\"cell\": \"15<sup>***</sup>\", \"bbox\": [224, 139, 241, 148]}, {\"cell\": \"<b>DEVELOPMENTAL ANOMIA</b>\", \"bbox\": [2, 150, 96, 158]}, {\"cell\": \"LEO\", \"bbox\": [1, 161, 16, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 161, 91, 169]}, {\"cell\": \"7<sup>***</sup>\", \"bbox\": [130, 161, 143, 169]}, {\"cell\": \"78%<sup>***</sup>\", \"bbox\": [183, 161, 206, 169]}, {\"cell\": \"17<sup>***</sup>\", \"bbox\": [224, 161, 241, 169]}, {\"cell\": \"TAF\", \"bbox\": [1, 171, 14, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 171, 91, 180]}, {\"cell\": \"27<sup>***</sup>\", \"bbox\": [128, 171, 145, 180]}, {\"cell\": \"51%<sup>***</sup>\", \"bbox\": [183, 171, 206, 180]}, {\"cell\": \"37<sup>***</sup>\", \"bbox\": [224, 171, 241, 180]}, {\"cell\": \"AFI\", \"bbox\": [1, 182, 12, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [71, 182, 87, 191]}, {\"cell\": \"2\", \"bbox\": [134, 182, 140, 191]}, {\"cell\": \"79%<sup>*</sup>\", \"bbox\": [185, 182, 204, 191]}, {\"cell\": \"16<sup>*</sup>\", \"bbox\": [226, 182, 238, 191]}, {\"cell\": \"ARO\", \"bbox\": [1, 193, 17, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 193, 91, 201]}, {\"cell\": \"64<sup>***</sup>\", \"bbox\": [128, 193, 145, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MAD\", \"bbox\": [0, 204, 17, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 204, 91, 212]}, {\"cell\": \"17<sup>***</sup>\", \"bbox\": [128, 204, 145, 212]}, {\"cell\": \"53%<sup>***</sup>\", \"bbox\": [183, 204, 206, 212]}, {\"cell\": \"36<sup>***</sup>\", \"bbox\": [224, 204, 241, 212]}, {\"cell\": \"SAN\", \"bbox\": [1, 214, 16, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 214, 91, 223]}, {\"cell\": \"9<sup>***</sup>\", \"bbox\": [130, 214, 143, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NIV\", \"bbox\": [1, 225, 13, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 225, 91, 234]}, {\"cell\": \"12<sup>***</sup>\", \"bbox\": [128, 225, 145, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SHL\", \"bbox\": [1, 236, 16, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 236, 91, 244]}, {\"cell\": \"12<sup>***</sup>\", \"bbox\": [128, 236, 145, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Control groups M (SD)</b>\", \"bbox\": [2, 247, 77, 255]}, {\"cell\": \"Adults, 12 years education and above<i>N</i> = 372\", \"bbox\": [1, 257, 51, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 257, 97, 266]}, {\"cell\": \"1.1 (1.2)\", \"bbox\": [123, 257, 150, 266]}, {\"cell\": \"94.7% (3.6)\", \"bbox\": [176, 257, 213, 266]}, {\"cell\": \"3.7 (2.7)\", \"bbox\": [219, 257, 246, 266]}, {\"cell\": \"7th grade control<i>N</i> = 26\", \"bbox\": [1, 296, 54, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 296, 97, 305]}, {\"cell\": \"3.2 (1.7)\", \"bbox\": [123, 296, 150, 305]}, {\"cell\": \"90.4% (4.6)\", \"bbox\": [176, 296, 213, 305]}, {\"cell\": \"7.1 (3.7)\", \"bbox\": [219, 296, 246, 305]}, {\"cell\": \"5th grade control<i>N</i> = 14\", \"bbox\": [1, 317, 54, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 317, 97, 325]}, {\"cell\": \"2.7 (1.9)\", \"bbox\": [123, 317, 150, 325]}, {\"cell\": \"88.8% (6.7)\", \"bbox\": [176, 317, 213, 325]}, {\"cell\": \"8.4 (5.0)\", \"bbox\": [219, 317, 246, 325]}, {\"cell\": \"4th grade control<i>N</i> = 20\", \"bbox\": [1, 337, 54, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 337, 97, 345]}, {\"cell\": \"7.2 (5.1)\", \"bbox\": [123, 337, 150, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4811952_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}596{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Improving the process</b></td><td><b>DHS (n) %</b></td><td><b>ACCHS (n) %</b></td><td><b>Uptake of economic evaluation</b></td><td><b>DHS (n) %</b></td><td><b>ACCHS (n) %</b></td></tr></thead><tbody><tr><td>Better data and evidence</td><td>(21) 81%</td><td>(15) 63%</td><td>Up-skilling of staff</td><td>[EMPTY_CELL]</td><td>(12) 50</td></tr><tr><td>Longer term view</td><td>(14) 54%</td><td>(15) 63%</td><td>Better data from studies</td><td>[EMPTY_CELL]</td><td>(10) 42%</td></tr><tr><td>Mechanism for shifting resources across programs required</td><td>(9) 35%</td><td>(4) 17%</td><td>Longer term view taken</td><td>[EMPTY_CELL]</td><td>(9) 38%</td></tr><tr><td>Systematic process of priority setting</td><td>(8) 31%</td><td>(9) 38%</td><td>Better communication strategy</td><td>[EMPTY_CELL]</td><td>(8) 33%</td></tr><tr><td>More explicit/transparent methods</td><td>(7) 27%</td><td>(8) 33%</td><td>More education on the credibility of economic evaluation</td><td>[EMPTY_CELL]</td><td>(7) 29%</td></tr><tr><td>Examining the margin when choosing to reduce or increase resources or activity</td><td>(2) 8%</td><td>1 (4%)</td><td>Timely data from decision-makers</td><td>[EMPTY_CELL]</td><td>(7) 29%</td></tr><tr><td>Less political influence</td><td>(2) 8%</td><td>(3) 13%</td><td>Transparent economic models</td><td>[EMPTY_CELL]</td><td>(6) 25%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Improving the process</b>\", \"bbox\": [1, 4, 81, 13]}, {\"cell\": \"<b>DHS (n) %</b>\", \"bbox\": [186, 4, 224, 13]}, {\"cell\": \"<b>ACCHS (n) %</b>\", \"bbox\": [229, 4, 275, 13]}, {\"cell\": \"<b>Uptake of economic evaluation</b>\", \"bbox\": [280, 4, 391, 13]}, {\"cell\": \"<b>DHS (n) %</b>\", \"bbox\": [396, 4, 433, 13]}, {\"cell\": \"<b>ACCHS (n) %</b>\", \"bbox\": [438, 4, 484, 13]}, {\"cell\": \"Better data and evidence\", \"bbox\": [1, 17, 83, 27]}, {\"cell\": \"(21) 81%\", \"bbox\": [186, 17, 216, 27]}, {\"cell\": \"(15) 63%\", \"bbox\": [229, 17, 258, 27]}, {\"cell\": \"Up-skilling of staff\", \"bbox\": [280, 17, 339, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 17, 425, 27]}, {\"cell\": \"(12) 50\", \"bbox\": [438, 17, 462, 27]}, {\"cell\": \"Longer term view\", \"bbox\": [1, 31, 60, 41]}, {\"cell\": \"(14) 54%\", \"bbox\": [186, 31, 216, 41]}, {\"cell\": \"(15) 63%\", \"bbox\": [229, 31, 258, 41]}, {\"cell\": \"Better data from studies\", \"bbox\": [280, 31, 359, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 31, 425, 41]}, {\"cell\": \"(10) 42%\", \"bbox\": [438, 31, 468, 41]}, {\"cell\": \"Mechanism for shifting resources across programs required\", \"bbox\": [1, 45, 181, 55]}, {\"cell\": \"(9) 35%\", \"bbox\": [186, 45, 212, 55]}, {\"cell\": \"(4) 17%\", \"bbox\": [229, 45, 255, 55]}, {\"cell\": \"Longer term view taken\", \"bbox\": [280, 45, 359, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 45, 425, 55]}, {\"cell\": \"(9) 38%\", \"bbox\": [438, 45, 464, 55]}, {\"cell\": \"Systematic process of priority setting\", \"bbox\": [1, 59, 121, 69]}, {\"cell\": \"(8) 31%\", \"bbox\": [186, 59, 212, 69]}, {\"cell\": \"(9) 38%\", \"bbox\": [229, 59, 255, 69]}, {\"cell\": \"Better communication strategy\", \"bbox\": [280, 59, 381, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 59, 425, 69]}, {\"cell\": \"(8) 33%\", \"bbox\": [438, 59, 464, 69]}, {\"cell\": \"More explicit/transparent methods\", \"bbox\": [1, 73, 114, 83]}, {\"cell\": \"(7) 27%\", \"bbox\": [186, 73, 212, 83]}, {\"cell\": \"(8) 33%\", \"bbox\": [229, 73, 255, 83]}, {\"cell\": \"More education on the credibility of economic evaluation\", \"bbox\": [280, 73, 390, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 73, 425, 83]}, {\"cell\": \"(7) 29%\", \"bbox\": [438, 73, 464, 83]}, {\"cell\": \"Examining the margin when choosing to reduce or increase resources or activity\", \"bbox\": [0, 96, 168, 115]}, {\"cell\": \"(2) 8%\", \"bbox\": [186, 96, 208, 106]}, {\"cell\": \"1 (4%)\", \"bbox\": [229, 96, 251, 106]}, {\"cell\": \"Timely data from decision-makers\", \"bbox\": [280, 96, 390, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 96, 425, 106]}, {\"cell\": \"(7) 29%\", \"bbox\": [438, 96, 464, 106]}, {\"cell\": \"Less political influence\", \"bbox\": [0, 119, 74, 129]}, {\"cell\": \"(2) 8%\", \"bbox\": [186, 119, 208, 129]}, {\"cell\": \"(3) 13%\", \"bbox\": [229, 119, 255, 129]}, {\"cell\": \"Transparent economic models\", \"bbox\": [280, 119, 379, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 119, 422, 129]}, {\"cell\": \"(6) 25%\", \"bbox\": [438, 119, 464, 129]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4065599_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}597{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Coordinate axes</b></td><td><b>Combined</b></td><td><b>Manual coronal</b></td><td><b>Manual axial</b></td><td><b>Stereonauta coronal</b></td><td><b>Stereonauta axial</b></td><td><b>Atlas based</b></td></tr></thead><tbody><tr><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean</td><td>0.66</td><td>2.63</td><td>2.65</td><td>2.87</td><td>2.68</td><td>[EMPTY_CELL]</td></tr><tr><td>Range of 95% CI</td><td>0.51-0.81</td><td>1.35-3.9</td><td>1.39-3.9</td><td>1.54-4.2</td><td>1.4-3.9</td><td>[EMPTY_CELL]</td></tr><tr><td>SE</td><td>0.07</td><td>0.64</td><td>0.63</td><td>0.66</td><td>0.62</td><td>[EMPTY_CELL]</td></tr><tr><td>Y</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean</td><td>1.07</td><td>2.06</td><td>1.52</td><td>1.50</td><td>1.60</td><td>[EMPTY_CELL]</td></tr><tr><td>Range of 95% CI</td><td>0.91-1.23</td><td>1.75-2.37</td><td>1.2-18</td><td>1.21-1.78</td><td>1.29-1.92</td><td>[EMPTY_CELL]</td></tr><tr><td>SE</td><td>0.08</td><td>0.15</td><td>0.16</td><td>0.14</td><td>0.15</td><td>[EMPTY_CELL]</td></tr><tr><td>Z</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean</td><td>1.01</td><td>1.55</td><td>1.48</td><td>1.26</td><td>1.53</td><td>[EMPTY_CELL]</td></tr><tr><td>Range of 95% CI</td><td>0.85-1.18</td><td>1.17-1.92</td><td>1.13-1.82</td><td>0.98-1.54</td><td>1.05-2.01</td><td>[EMPTY_CELL]</td></tr><tr><td>SE</td><td>0.08</td><td>0.18</td><td>0.17</td><td>0.13</td><td>0.24</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Coordinate axes</b>\", \"bbox\": [7, 8, 78, 21]}, {\"cell\": \"<b>Combined</b>\", \"bbox\": [115, 8, 162, 21]}, {\"cell\": \"<b>Manual coronal</b>\", \"bbox\": [185, 2, 220, 27]}, {\"cell\": \"<b>Manual axial</b>\", \"bbox\": [249, 2, 285, 27]}, {\"cell\": \"<b>Stereonauta coronal</b>\", \"bbox\": [307, 2, 361, 27]}, {\"cell\": \"<b>Stereonauta axial</b>\", \"bbox\": [381, 2, 435, 27]}, {\"cell\": \"<b>Atlas based</b>\", \"bbox\": [462, 2, 489, 27]}, {\"cell\": \"X\", \"bbox\": [7, 27, 16, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean\", \"bbox\": [21, 39, 46, 52]}, {\"cell\": \"0.66\", \"bbox\": [129, 39, 148, 52]}, {\"cell\": \"2.63\", \"bbox\": [193, 39, 212, 52]}, {\"cell\": \"2.65\", \"bbox\": [257, 39, 277, 52]}, {\"cell\": \"2.87\", \"bbox\": [324, 39, 344, 52]}, {\"cell\": \"2.68\", \"bbox\": [398, 39, 418, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 39, 483, 52]}, {\"cell\": \"Range of 95% CI\", \"bbox\": [21, 52, 92, 65]}, {\"cell\": \"0.51-0.81\", \"bbox\": [118, 52, 159, 65]}, {\"cell\": \"1.35-3.9\", \"bbox\": [185, 52, 220, 65]}, {\"cell\": \"1.39-3.9\", \"bbox\": [249, 52, 285, 65]}, {\"cell\": \"1.54-4.2\", \"bbox\": [316, 52, 352, 65]}, {\"cell\": \"1.4-3.9\", \"bbox\": [393, 52, 423, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [464, 52, 487, 65]}, {\"cell\": \"SE\", \"bbox\": [21, 64, 34, 77]}, {\"cell\": \"0.07\", \"bbox\": [129, 64, 148, 77]}, {\"cell\": \"0.64\", \"bbox\": [193, 64, 212, 77]}, {\"cell\": \"0.63\", \"bbox\": [257, 64, 277, 77]}, {\"cell\": \"0.66\", \"bbox\": [324, 64, 344, 77]}, {\"cell\": \"0.62\", \"bbox\": [398, 64, 418, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 64, 483, 77]}, {\"cell\": \"Y\", \"bbox\": [7, 77, 16, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean\", \"bbox\": [21, 89, 46, 102]}, {\"cell\": \"1.07\", \"bbox\": [129, 89, 148, 102]}, {\"cell\": \"2.06\", \"bbox\": [193, 89, 212, 102]}, {\"cell\": \"1.52\", \"bbox\": [257, 89, 277, 102]}, {\"cell\": \"1.50\", \"bbox\": [324, 89, 344, 102]}, {\"cell\": \"1.60\", \"bbox\": [398, 89, 418, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 89, 485, 102]}, {\"cell\": \"Range of 95% CI\", \"bbox\": [21, 102, 92, 115]}, {\"cell\": \"0.91-1.23\", \"bbox\": [118, 102, 159, 115]}, {\"cell\": \"1.75-2.37\", \"bbox\": [182, 102, 223, 115]}, {\"cell\": \"1.2-18\", \"bbox\": [253, 102, 281, 115]}, {\"cell\": \"1.21-1.78\", \"bbox\": [314, 102, 354, 115]}, {\"cell\": \"1.29-1.92\", \"bbox\": [388, 102, 428, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 102, 493, 115]}, {\"cell\": \"SE\", \"bbox\": [21, 114, 34, 127]}, {\"cell\": \"0.08\", \"bbox\": [129, 114, 148, 127]}, {\"cell\": \"0.15\", \"bbox\": [193, 114, 212, 127]}, {\"cell\": \"0.16\", \"bbox\": [257, 114, 277, 127]}, {\"cell\": \"0.14\", \"bbox\": [324, 114, 344, 127]}, {\"cell\": \"0.15\", \"bbox\": [398, 114, 418, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 114, 485, 127]}, {\"cell\": \"Z\", \"bbox\": [7, 127, 15, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mean\", \"bbox\": [21, 139, 46, 152]}, {\"cell\": \"1.01\", \"bbox\": [129, 139, 148, 152]}, {\"cell\": \"1.55\", \"bbox\": [193, 139, 212, 152]}, {\"cell\": \"1.48\", \"bbox\": [257, 139, 277, 152]}, {\"cell\": \"1.26\", \"bbox\": [324, 139, 344, 152]}, {\"cell\": \"1.53\", \"bbox\": [398, 139, 418, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 139, 485, 152]}, {\"cell\": \"Range of 95% CI\", \"bbox\": [21, 152, 92, 165]}, {\"cell\": \"0.85-1.18\", \"bbox\": [118, 152, 159, 165]}, {\"cell\": \"1.17-1.92\", \"bbox\": [182, 152, 223, 165]}, {\"cell\": \"1.13-1.82\", \"bbox\": [247, 152, 287, 165]}, {\"cell\": \"0.98-1.54\", \"bbox\": [314, 152, 354, 165]}, {\"cell\": \"1.05-2.01\", \"bbox\": [388, 152, 428, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 152, 496, 165]}, {\"cell\": \"SE\", \"bbox\": [21, 164, 34, 177]}, {\"cell\": \"0.08\", \"bbox\": [129, 164, 148, 177]}, {\"cell\": \"0.18\", \"bbox\": [193, 164, 212, 177]}, {\"cell\": \"0.17\", \"bbox\": [257, 164, 277, 177]}, {\"cell\": \"0.13\", \"bbox\": [324, 164, 344, 177]}, {\"cell\": \"0.24\", \"bbox\": [398, 164, 418, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [466, 164, 485, 177]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4852069_007_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}598{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td><b><i>n</i> or Mean <sup>a</sup></b></td><td><b>(%) or SD <sup>b</sup></b></td></tr></thead><tbody><tr><td><i>Household</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Quality of housing</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Iron sheet roof (<i>n</i> = 3359)</td><td>[EMPTY_CELL]</td><td>(40.8)</td></tr><tr><td>Earth floor (<i>n</i> = 3358)</td><td>[EMPTY_CELL]</td><td>(98.2)</td></tr><tr><td>Wood and mud wall (<i>n</i> = 3359)</td><td>[EMPTY_CELL]</td><td>(93.2)</td></tr><tr><td>Improved drinking water (<i>n</i> = 3358)</td><td>[EMPTY_CELL]</td><td>(80.7)</td></tr><tr><td>Improved sanitation facility (<i>n</i> = 3332)</td><td>[EMPTY_CELL]</td><td>(6.5)</td></tr><tr><td>Electricity (<i>n</i> = 3358)</td><td>[EMPTY_CELL]</td><td>(1.0)</td></tr><tr><td>Owned land size (hectares) (<i>n</i> = 3360)</td><td>[EMPTY_CELL]</td><td>0.17 <sup>b</sup></td></tr><tr><td><i>Maternal/caregiver</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (year) (<i>n</i> = 3319)</td><td>[EMPTY_CELL]</td><td>8.6 <sup>b</sup></td></tr><tr><td>15–24</td><td>[EMPTY_CELL]</td><td>(10.9)</td></tr><tr><td>25–34</td><td>[EMPTY_CELL]</td><td>(53.9)</td></tr><tr><td>35–44</td><td>[EMPTY_CELL]</td><td>(24.3)</td></tr><tr><td>≥45</td><td>[EMPTY_CELL]</td><td>(9.6)</td></tr><tr><td>Married (<i>n</i> = 3334)</td><td>[EMPTY_CELL]</td><td>(87.9)</td></tr><tr><td>Education (<i>n</i> = 3352)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No formal school</td><td>[EMPTY_CELL]</td><td>(63.1)</td></tr><tr><td>Primary (Grade 1–8)</td><td>[EMPTY_CELL]</td><td>(34.6)</td></tr><tr><td>Secondary/above</td><td>[EMPTY_CELL]</td><td>(2.0)</td></tr><tr><td>Occupation (<i>n</i> = 3354)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Agriculture/farmer</td><td>[EMPTY_CELL]</td><td>(59.5)</td></tr><tr><td>Petty trade/own skilled work</td><td>[EMPTY_CELL]</td><td>(28.7)</td></tr><tr><td>No occupation</td><td>[EMPTY_CELL]</td><td>(9.0)</td></tr><tr><td><i>Child</i> (<i>n</i> = 4297)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (months)</td><td>[EMPTY_CELL]</td><td>15.9 <sup>b</sup></td></tr><tr><td>6–11</td><td>[EMPTY_CELL]</td><td>(13.3)</td></tr><tr><td>12–23</td><td>[EMPTY_CELL]</td><td>(18.9)</td></tr><tr><td>24–35</td><td>[EMPTY_CELL]</td><td>(15.3)</td></tr><tr><td>36–47</td><td>[EMPTY_CELL]</td><td>(28.3)</td></tr><tr><td>48–59</td><td>[EMPTY_CELL]</td><td>(24.2)</td></tr><tr><td>Male sex</td><td>[EMPTY_CELL]</td><td>(50.9)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [55, 5, 117, 15]}, {\"cell\": \"<b><i>n</i> or Mean <sup>a</sup></b>\", \"bbox\": [191, 3, 240, 15]}, {\"cell\": \"<b>(%) or SD <sup>b</sup></b>\", \"bbox\": [281, 4, 329, 15]}, {\"cell\": \"<i>Household</i>\", \"bbox\": [66, 21, 106, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quality of housing\", \"bbox\": [48, 32, 124, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Iron sheet roof (<i>n</i> = 3359)\", \"bbox\": [36, 43, 136, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 43, 225, 54]}, {\"cell\": \"(40.8)\", \"bbox\": [293, 43, 317, 54]}, {\"cell\": \"Earth floor (<i>n</i> = 3358)\", \"bbox\": [43, 54, 129, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 54, 225, 65]}, {\"cell\": \"(98.2)\", \"bbox\": [293, 54, 317, 65]}, {\"cell\": \"Wood and mud wall (<i>n</i> = 3359)\", \"bbox\": [24, 65, 148, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 65, 225, 76]}, {\"cell\": \"(93.2)\", \"bbox\": [293, 65, 317, 76]}, {\"cell\": \"Improved drinking water (<i>n</i> = 3358)\", \"bbox\": [14, 76, 158, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 76, 225, 87]}, {\"cell\": \"(80.7)\", \"bbox\": [293, 76, 317, 87]}, {\"cell\": \"Improved sanitation facility (<i>n</i> = 3332)\", \"bbox\": [9, 87, 163, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 87, 223, 98]}, {\"cell\": \"(6.5)\", \"bbox\": [296, 87, 315, 98]}, {\"cell\": \"Electricity (<i>n</i> = 3358)\", \"bbox\": [45, 98, 127, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 98, 221, 109]}, {\"cell\": \"(1.0)\", \"bbox\": [296, 98, 315, 109]}, {\"cell\": \"Owned land size (hectares) (<i>n</i> = 3360)\", \"bbox\": [11, 110, 161, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 108, 227, 121]}, {\"cell\": \"0.17 <sup>b</sup>\", \"bbox\": [293, 108, 317, 121]}, {\"cell\": \"<i>Maternal/caregiver</i>\", \"bbox\": [50, 126, 122, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (year) (<i>n</i> = 3319)\", \"bbox\": [44, 137, 128, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 135, 224, 148]}, {\"cell\": \"8.6 <sup>b</sup>\", \"bbox\": [295, 136, 315, 148]}, {\"cell\": \"15–24\", \"bbox\": [74, 148, 98, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 148, 223, 159]}, {\"cell\": \"(10.9)\", \"bbox\": [293, 148, 317, 159]}, {\"cell\": \"25–34\", \"bbox\": [74, 159, 98, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 159, 225, 170]}, {\"cell\": \"(53.9)\", \"bbox\": [293, 159, 317, 170]}, {\"cell\": \"35–44\", \"bbox\": [74, 170, 98, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 170, 223, 181]}, {\"cell\": \"(24.3)\", \"bbox\": [293, 170, 317, 181]}, {\"cell\": \"≥45\", \"bbox\": [77, 181, 95, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 181, 223, 192]}, {\"cell\": \"(9.6)\", \"bbox\": [296, 181, 315, 192]}, {\"cell\": \"Married (<i>n</i> = 3334)\", \"bbox\": [48, 192, 124, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 192, 225, 203]}, {\"cell\": \"(87.9)\", \"bbox\": [293, 192, 317, 203]}, {\"cell\": \"Education (<i>n</i> = 3352)\", \"bbox\": [44, 203, 128, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No formal school\", \"bbox\": [51, 214, 121, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 214, 225, 225]}, {\"cell\": \"(63.1)\", \"bbox\": [293, 214, 317, 225]}, {\"cell\": \"Primary (Grade 1–8)\", \"bbox\": [44, 225, 128, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 225, 225, 236]}, {\"cell\": \"(34.6)\", \"bbox\": [293, 225, 317, 236]}, {\"cell\": \"Secondary/above\", \"bbox\": [50, 236, 122, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 236, 221, 247]}, {\"cell\": \"(2.0)\", \"bbox\": [296, 236, 315, 247]}, {\"cell\": \"Occupation (<i>n</i> = 3354)\", \"bbox\": [42, 247, 130, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Agriculture/farmer\", \"bbox\": [46, 258, 126, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 258, 225, 269]}, {\"cell\": \"(59.5)\", \"bbox\": [293, 258, 317, 269]}, {\"cell\": \"Petty trade/own skilled work\", \"bbox\": [26, 269, 146, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 269, 223, 280]}, {\"cell\": \"(28.7)\", \"bbox\": [293, 269, 317, 280]}, {\"cell\": \"No occupation\", \"bbox\": [56, 280, 116, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 280, 223, 291]}, {\"cell\": \"(9.0)\", \"bbox\": [296, 280, 315, 291]}, {\"cell\": \"<i>Child</i> (<i>n</i> = 4297)\", \"bbox\": [55, 296, 117, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (months)\", \"bbox\": [58, 308, 114, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 306, 224, 319]}, {\"cell\": \"15.9 <sup>b</sup>\", \"bbox\": [293, 306, 317, 319]}, {\"cell\": \"6–11\", \"bbox\": [76, 319, 96, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 319, 223, 330]}, {\"cell\": \"(13.3)\", \"bbox\": [293, 319, 317, 330]}, {\"cell\": \"12–23\", \"bbox\": [74, 330, 98, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 330, 223, 341]}, {\"cell\": \"(18.9)\", \"bbox\": [293, 330, 317, 341]}, {\"cell\": \"24–35\", \"bbox\": [74, 341, 98, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 341, 223, 352]}, {\"cell\": \"(15.3)\", \"bbox\": [293, 341, 317, 352]}, {\"cell\": \"36–47\", \"bbox\": [74, 352, 98, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 352, 225, 363]}, {\"cell\": \"(28.3)\", \"bbox\": [293, 352, 317, 363]}, {\"cell\": \"48–59\", \"bbox\": [74, 363, 98, 374]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 363, 225, 374]}, {\"cell\": \"(24.2)\", \"bbox\": [293, 363, 317, 374]}, {\"cell\": \"Male sex\", \"bbox\": [68, 374, 104, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 374, 225, 385]}, {\"cell\": \"(50.9)\", \"bbox\": [293, 374, 317, 385]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5372930_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}599{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Mutation</b></td><td><b>aHUS incidence</b></td><td><b>Type of deficiency</b></td><td><b>C3 level</b></td><td><b>Risk of recurrence post-transplant</b></td></tr></thead><tbody><tr><td>CFH</td><td>20–30%</td><td>70% Qualitative and 30% quantitative</td><td>[EMPTY_CELL]</td><td>70–80%</td></tr><tr><td>MCP</td><td>10–15%</td><td>70% Qualitative and 30% quantitative</td><td>[EMPTY_CELL]</td><td>Low (unless associated with other mutations)</td></tr><tr><td>CFI</td><td>5–10%</td><td>70% Qualitative and 30% quantitative</td><td>[EMPTY_CELL]</td><td>70–80%</td></tr><tr><td>CFB</td><td>1–4%</td><td>–</td><td>[EMPTY_CELL]</td><td>100% (only 4 cases reported)</td></tr><tr><td>THBD</td><td>3–5%</td><td>–</td><td>[EMPTY_CELL]</td><td>Unknown but probably very low</td></tr><tr><td>C3</td><td>2–10%</td><td>Majority are quantitative</td><td>[EMPTY_CELL]</td><td>40%</td></tr><tr><td>Anti-CFH Abs</td><td>6%</td><td>N/A</td><td>[EMPTY_CELL]</td><td>40–70% Depending on associated mutations</td></tr><tr><td>CFHR 1–5</td><td>Unknown</td><td>Usually qualitative</td><td>[EMPTY_CELL]</td><td>Unknown</td></tr><tr><td>Combined mutations</td><td>10–12%</td><td>Variable</td><td>[EMPTY_CELL]</td><td>Variable</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Mutation</b>\", \"bbox\": [1, 7, 36, 16]}, {\"cell\": \"<b>aHUS incidence</b>\", \"bbox\": [78, 7, 136, 16]}, {\"cell\": \"<b>Type of deficiency</b>\", \"bbox\": [141, 7, 206, 16]}, {\"cell\": \"<b>C3 level</b>\", \"bbox\": [275, 7, 305, 16]}, {\"cell\": \"<b>Risk of recurrence post-transplant</b>\", \"bbox\": [402, 7, 467, 27]}, {\"cell\": \"CFH\", \"bbox\": [1, 38, 18, 47]}, {\"cell\": \"20–30%\", \"bbox\": [92, 38, 122, 47]}, {\"cell\": \"70% Qualitative and 30% quantitative\", \"bbox\": [142, 38, 269, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 38, 396, 47]}, {\"cell\": \"70–80%\", \"bbox\": [402, 38, 432, 47]}, {\"cell\": \"MCP\", \"bbox\": [1, 49, 20, 58]}, {\"cell\": \"10–15%\", \"bbox\": [93, 49, 122, 58]}, {\"cell\": \"70% Qualitative and 30% quantitative\", \"bbox\": [142, 49, 269, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 49, 396, 58]}, {\"cell\": \"Low (unless associated with other mutations)\", \"bbox\": [402, 49, 498, 70]}, {\"cell\": \"CFI\", \"bbox\": [1, 72, 15, 81]}, {\"cell\": \"5–10%\", \"bbox\": [95, 72, 120, 81]}, {\"cell\": \"70% Qualitative and 30% quantitative\", \"bbox\": [142, 72, 269, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 72, 396, 81]}, {\"cell\": \"70–80%\", \"bbox\": [402, 72, 432, 81]}, {\"cell\": \"CFB\", \"bbox\": [1, 83, 18, 92]}, {\"cell\": \"1–4%\", \"bbox\": [97, 83, 118, 92]}, {\"cell\": \"–\", \"bbox\": [142, 83, 147, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 83, 314, 92]}, {\"cell\": \"100% (only 4 cases reported)\", \"bbox\": [402, 83, 501, 92]}, {\"cell\": \"THBD\", \"bbox\": [1, 95, 22, 104]}, {\"cell\": \"3–5%\", \"bbox\": [97, 95, 118, 104]}, {\"cell\": \"–\", \"bbox\": [142, 95, 147, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 95, 317, 104]}, {\"cell\": \"Unknown but probably very low\", \"bbox\": [402, 95, 509, 104]}, {\"cell\": \"C3\", \"bbox\": [1, 106, 13, 115]}, {\"cell\": \"2–10%\", \"bbox\": [95, 106, 120, 115]}, {\"cell\": \"Majority are quantitative\", \"bbox\": [142, 106, 224, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 106, 317, 115]}, {\"cell\": \"40%\", \"bbox\": [402, 106, 420, 115]}, {\"cell\": \"Anti-CFH Abs\", \"bbox\": [1, 118, 48, 127]}, {\"cell\": \"6%\", \"bbox\": [100, 118, 114, 127]}, {\"cell\": \"N/A\", \"bbox\": [142, 118, 156, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 118, 329, 127]}, {\"cell\": \"40–70% Depending on associated mutations\", \"bbox\": [402, 118, 480, 138]}, {\"cell\": \"CFHR 1–5\", \"bbox\": [1, 141, 36, 150]}, {\"cell\": \"Unknown\", \"bbox\": [90, 141, 124, 150]}, {\"cell\": \"Usually qualitative\", \"bbox\": [142, 141, 203, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 141, 392, 161]}, {\"cell\": \"Unknown\", \"bbox\": [402, 141, 436, 150]}, {\"cell\": \"Combined mutations\", \"bbox\": [1, 164, 73, 173]}, {\"cell\": \"10–12%\", \"bbox\": [93, 164, 122, 173]}, {\"cell\": \"Variable\", \"bbox\": [141, 164, 169, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 164, 302, 173]}, {\"cell\": \"Variable\", \"bbox\": [401, 164, 429, 173]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4292050_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}600{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Cases (<i>n </i>= 248) </b></td><td><b>Controls (<i>n </i>= 538) </b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>19 (7.7)</td><td>44 (8.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>52 (21.0)</td><td>93 (17.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>120 (48.4)</td><td>277 (51.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>57 (23.0)</td><td>124 (23.1)</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>213 (85.9)</td><td>457 (85.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>8 (3.2)</td><td>22 (4.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>20 (8.1)</td><td>38 (7.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (0.8)</td><td>4 (0.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>5 (2.0)</td><td>16 (3.0)</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>16 (6.5)</td><td>18 (3.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>230 (93.5)</td><td>518 (96.6)</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>73 (30.5)</td><td>146 (28.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>105 (43.9)</td><td>223 (42.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>61 (25.5)</td><td>153 (29.3)</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8 (3.2)</td><td>17 (3.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>42 (16.9)</td><td>96 (17.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>80 (32.3)</td><td>202 (37.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>79 (31.9)</td><td>120 (22.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>39 (15.7)</td><td>103 (19.1)</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>143 (57.7)</td><td>325 (60.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>56 (22.6)</td><td>124 (23.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>49 (19.8)</td><td>89 (16.5)</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>68 (27.5)</td><td>186 (34.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>45 (18.2)</td><td>113 (21.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>134 (54.3)</td><td>239 (44.4)</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8 (3.2)</td><td>11 (2.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>126 (50.8)</td><td>278 (52.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>60 (24.2)</td><td>140 (26.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>54 (21.8)</td><td>105 (19.7)</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>121 (48.8)</td><td>157 (29.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>127 (51.2)</td><td>380 (70.8)</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>121 (48.8)</td><td>157 (29.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>27 (10.9)</td><td>71 (13.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>42 (16.9)</td><td>89 (16.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>28 (11.3)</td><td>77 (14.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>30 (12.1)</td><td>143 (26.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>679.7 (593.4, 816.1)</td><td>661.4 (572.6, 777.1)</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [3, 3, 44, 13]}, {\"cell\": \"<b>Cases (<i>n </i>= 248) </b>\", \"bbox\": [174, 3, 220, 13]}, {\"cell\": \"<b>Controls (<i>n </i>= 538) </b>\", \"bbox\": [283, 3, 336, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 15, 37, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 24, 27, 34]}, {\"cell\": \"19 (7.7)\", \"bbox\": [184, 24, 207, 34]}, {\"cell\": \"44 (8.2)\", \"bbox\": [297, 24, 321, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 33, 27, 43]}, {\"cell\": \"52 (21.0)\", \"bbox\": [184, 33, 210, 43]}, {\"cell\": \"93 (17.3)\", \"bbox\": [297, 33, 324, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 43, 27, 53]}, {\"cell\": \"120 (48.4)\", \"bbox\": [180, 43, 210, 53]}, {\"cell\": \"277 (51.5)\", \"bbox\": [294, 43, 324, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 52, 27, 62]}, {\"cell\": \"57 (23.0)\", \"bbox\": [184, 52, 210, 62]}, {\"cell\": \"124 (23.1)\", \"bbox\": [294, 52, 324, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 61, 19, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 71, 26, 80]}, {\"cell\": \"213 (85.9)\", \"bbox\": [180, 71, 210, 80]}, {\"cell\": \"457 (85.1)\", \"bbox\": [294, 71, 324, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 80, 24, 90]}, {\"cell\": \"8 (3.2)\", \"bbox\": [187, 80, 207, 90]}, {\"cell\": \"22 (4.1)\", \"bbox\": [297, 80, 321, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 89, 71, 99]}, {\"cell\": \"20 (8.1)\", \"bbox\": [184, 89, 207, 99]}, {\"cell\": \"38 (7.1)\", \"bbox\": [297, 89, 321, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 99, 97, 108]}, {\"cell\": \"2 (0.8)\", \"bbox\": [187, 99, 207, 108]}, {\"cell\": \"4 (0.7)\", \"bbox\": [301, 99, 321, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 108, 65, 118]}, {\"cell\": \"5 (2.0)\", \"bbox\": [187, 108, 207, 118]}, {\"cell\": \"16 (3.0)\", \"bbox\": [297, 108, 321, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 117, 29, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 126, 33, 136]}, {\"cell\": \"16 (6.5)\", \"bbox\": [184, 126, 207, 136]}, {\"cell\": \"18 (3.4)\", \"bbox\": [297, 126, 321, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 136, 48, 145]}, {\"cell\": \"230 (93.5)\", \"bbox\": [180, 136, 210, 145]}, {\"cell\": \"518 (96.6)\", \"bbox\": [294, 136, 324, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 145, 25, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 154, 37, 164]}, {\"cell\": \"73 (30.5)\", \"bbox\": [184, 154, 210, 164]}, {\"cell\": \"146 (28.0)\", \"bbox\": [294, 154, 324, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 164, 59, 173]}, {\"cell\": \"105 (43.9)\", \"bbox\": [180, 164, 210, 173]}, {\"cell\": \"223 (42.7)\", \"bbox\": [294, 164, 324, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 173, 37, 183]}, {\"cell\": \"61 (25.5)\", \"bbox\": [184, 173, 210, 183]}, {\"cell\": \"153 (29.3)\", \"bbox\": [294, 173, 324, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 182, 33, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 191, 48, 201]}, {\"cell\": \"8 (3.2)\", \"bbox\": [187, 191, 207, 201]}, {\"cell\": \"17 (3.2)\", \"bbox\": [297, 191, 321, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 201, 70, 210]}, {\"cell\": \"42 (16.9)\", \"bbox\": [184, 201, 210, 210]}, {\"cell\": \"96 (17.8)\", \"bbox\": [297, 201, 324, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 210, 48, 220]}, {\"cell\": \"80 (32.3)\", \"bbox\": [184, 210, 210, 220]}, {\"cell\": \"202 (37.6)\", \"bbox\": [294, 210, 324, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 219, 58, 229]}, {\"cell\": \"79 (31.9)\", \"bbox\": [184, 219, 210, 229]}, {\"cell\": \"120 (22.3)\", \"bbox\": [294, 219, 324, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 229, 47, 238]}, {\"cell\": \"39 (15.7)\", \"bbox\": [184, 229, 210, 238]}, {\"cell\": \"103 (19.1)\", \"bbox\": [294, 229, 324, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 238, 57, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 247, 26, 257]}, {\"cell\": \"143 (57.7)\", \"bbox\": [180, 247, 210, 257]}, {\"cell\": \"325 (60.4)\", \"bbox\": [294, 247, 324, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 257, 28, 266]}, {\"cell\": \"56 (22.6)\", \"bbox\": [184, 257, 210, 266]}, {\"cell\": \"124 (23.1)\", \"bbox\": [294, 257, 324, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 266, 30, 276]}, {\"cell\": \"49 (19.8)\", \"bbox\": [184, 266, 210, 276]}, {\"cell\": \"89 (16.5)\", \"bbox\": [297, 266, 324, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 275, 38, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 284, 26, 294]}, {\"cell\": \"68 (27.5)\", \"bbox\": [184, 284, 210, 294]}, {\"cell\": \"186 (34.6)\", \"bbox\": [294, 284, 324, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 294, 28, 303]}, {\"cell\": \"45 (18.2)\", \"bbox\": [184, 294, 210, 303]}, {\"cell\": \"113 (21.0)\", \"bbox\": [294, 294, 324, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 303, 30, 313]}, {\"cell\": \"134 (54.3)\", \"bbox\": [180, 303, 210, 313]}, {\"cell\": \"239 (44.4)\", \"bbox\": [294, 303, 324, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 311, 39, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 322, 26, 331]}, {\"cell\": \"8 (3.2)\", \"bbox\": [187, 322, 207, 331]}, {\"cell\": \"11 (2.1)\", \"bbox\": [297, 322, 321, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 331, 43, 341]}, {\"cell\": \"126 (50.8)\", \"bbox\": [180, 331, 210, 341]}, {\"cell\": \"278 (52.1)\", \"bbox\": [294, 331, 324, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 340, 43, 350]}, {\"cell\": \"60 (24.2)\", \"bbox\": [184, 340, 210, 350]}, {\"cell\": \"140 (26.2)\", \"bbox\": [294, 340, 324, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 349, 26, 359]}, {\"cell\": \"54 (21.8)\", \"bbox\": [184, 349, 210, 359]}, {\"cell\": \"105 (19.7)\", \"bbox\": [294, 349, 324, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 359, 21, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 368, 42, 378]}, {\"cell\": \"121 (48.8)\", \"bbox\": [180, 368, 210, 378]}, {\"cell\": \"157 (29.2)\", \"bbox\": [294, 368, 324, 378]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 377, 28, 387]}, {\"cell\": \"127 (51.2)\", \"bbox\": [180, 377, 210, 387]}, {\"cell\": \"380 (70.8)\", \"bbox\": [294, 377, 324, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 387, 100, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 396, 98, 406]}, {\"cell\": \"121 (48.8)\", \"bbox\": [180, 396, 210, 406]}, {\"cell\": \"157 (29.2)\", \"bbox\": [294, 396, 324, 406]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 405, 85, 415]}, {\"cell\": \"27 (10.9)\", \"bbox\": [184, 405, 210, 415]}, {\"cell\": \"71 (13.2)\", \"bbox\": [297, 405, 324, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 414, 44, 424]}, {\"cell\": \"42 (16.9)\", \"bbox\": [184, 414, 210, 424]}, {\"cell\": \"89 (16.6)\", \"bbox\": [297, 414, 324, 424]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 424, 47, 433]}, {\"cell\": \"28 (11.3)\", \"bbox\": [184, 424, 210, 433]}, {\"cell\": \"77 (14.3)\", \"bbox\": [297, 424, 324, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 433, 41, 443]}, {\"cell\": \"30 (12.1)\", \"bbox\": [184, 433, 210, 443]}, {\"cell\": \"143 (26.6)\", \"bbox\": [294, 433, 324, 443]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 442, 102, 452]}, {\"cell\": \"679.7 (593.4, 816.1)\", \"bbox\": [164, 442, 223, 452]}, {\"cell\": \"661.4 (572.6, 777.1)\", \"bbox\": [279, 442, 338, 452]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 455, 71, 464]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3855515_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}601{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Outcomes</b></td><td><b>Sub-Group Comparison of Meta-Analysis</b></td><td><b># of Individual Studies Included in Meta-Analysis</b></td><td><b>Number of Participants Included in Meta-Analysis</b></td><td><b>Weighted Mean Difference (WMD)</b></td><td><b>95% Confidence Interval</b></td><td><b><i>P</i> value of overall effect</b></td><td><b>I<sup>2</sup> statistic (<i>p</i> value for heterogeneity)</b></td><td><b>Interpretation</b></td></tr></thead><tbody><tr><td>VO2max (ml/kg/min)</td><td>PRE or combined PRE and aerobic exercise compared with no exercise</td><td>3 studies(Dolan 2006 [37]; Fitch 2012 [28]; Tiozzo 2011 [33])</td><td>82</td><td>3.71 ml/kg/min<sup>b</sup></td><td>1.73, 5.70</td><td>[EMPTY_CELL]</td><td>0%(<i>p</i> = 0.84)</td><td>“Significant (and potential clinically important) improvement in change in VO2max among exercisers compared with non-exercisers.” [12].</td></tr><tr><td rowspan=\\\"2\\\">Maximum Heart Rate (bpm)</td><td>PRE or combined PRE and aerobic exercise compared with no exercise</td><td>3 studies(Lox 1995 [40]; Perez-Moreno 2007 [31]; Rigsby 1992 [41])</td><td>65</td><td>−5.23 beats per minute</td><td>−23.84, 13.37</td><td>[EMPTY_CELL]</td><td>97% (<i>p</i> < 0.00001)</td><td>“No significant difference in change in heart rate maximum among exercisers compared with non-exercisers.” [12].</td></tr><tr><td>Combined PRE and aerobic exercise group compared with no exercise</td><td>2 studies(Perez-Moreno 2007 [31]; Rigsby 1992 [41])</td><td>43</td><td>−4.91 beats per minute</td><td>−34.13, 24.30</td><td>0.74</td><td>[EMPTY_CELL]</td><td>“No significant difference in change in heart rate maximum among exercisers compared with non-exercisers.” [12].</td></tr><tr><td>Exercise Time (min)</td><td>Combined aerobic and PRE group compared with no exercise</td><td>3 studies(Dolan 2006 [37]; Fitch 2012 [28]; Rigbsy 1992 [41])</td><td>83</td><td>3.29 min</td><td>0.10, 6.49</td><td>[EMPTY_CELL]</td><td>97% (<i>p</i> < 0.00001)</td><td>“Significant increase in exercise time among exercisers compared with non-exercisers.” [12].</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Outcomes</b>\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"<b>Sub-Group Comparison of Meta-Analysis</b>\", \"bbox\": [41, 4, 90, 31]}, {\"cell\": \"<b># of Individual Studies Included in Meta-Analysis</b>\", \"bbox\": [106, 4, 153, 40]}, {\"cell\": \"<b>Number of Participants Included in Meta-Analysis</b>\", \"bbox\": [157, 4, 196, 49]}, {\"cell\": \"<b>Weighted Mean Difference (WMD)</b>\", \"bbox\": [204, 4, 239, 40]}, {\"cell\": \"<b>95% Confidence Interval</b>\", \"bbox\": [245, 4, 284, 31]}, {\"cell\": \"<b><i>P</i> value of overall effect</b>\", \"bbox\": [290, 4, 315, 40]}, {\"cell\": \"<b>I<sup>2</sup> statistic (<i>p</i> value for heterogeneity)</b>\", \"bbox\": [319, 2, 368, 31]}, {\"cell\": \"<b>Interpretation</b>\", \"bbox\": [372, 4, 417, 13]}, {\"cell\": \"VO2max (ml/kg/min)\", \"bbox\": [1, 53, 29, 81]}, {\"cell\": \"PRE or combined PRE and aerobic exercise compared with no exercise\", \"bbox\": [41, 53, 98, 99]}, {\"cell\": \"3 studies(Dolan 2006 [37]; Fitch 2012 [28]; Tiozzo 2011 [33])\", \"bbox\": [106, 53, 146, 108]}, {\"cell\": \"82\", \"bbox\": [157, 53, 167, 63]}, {\"cell\": \"3.71 ml/kg/min<sup>b</sup>\", \"bbox\": [204, 53, 232, 72]}, {\"cell\": \"1.73, 5.70\", \"bbox\": [245, 53, 276, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 51, 315, 63]}, {\"cell\": \"0%(<i>p</i> = 0.84)\", \"bbox\": [319, 53, 352, 72]}, {\"cell\": \"“Significant (and potential clinically important) improvement in change in VO2max among exercisers compared with non-exercisers.” [12].\", \"bbox\": [372, 53, 482, 99]}, {\"cell\": \"Maximum Heart Rate (bpm)\", \"bbox\": [1, 112, 36, 140]}, {\"cell\": \"PRE or combined PRE and aerobic exercise compared with no exercise\", \"bbox\": [41, 112, 98, 158]}, {\"cell\": \"3 studies(Lox 1995 [40]; Perez-Moreno 2007 [31]; Rigsby 1992 [41])\", \"bbox\": [106, 112, 150, 167]}, {\"cell\": \"65\", \"bbox\": [157, 112, 167, 122]}, {\"cell\": \"−5.23 beats per minute\", \"bbox\": [204, 112, 236, 140]}, {\"cell\": \"−23.84, 13.37\", \"bbox\": [245, 112, 270, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 112, 305, 122]}, {\"cell\": \"97% (<i>p</i> < 0.00001)\", \"bbox\": [319, 112, 363, 131]}, {\"cell\": \"“No significant difference in change in heart rate maximum among exercisers compared with non-exercisers.” [12].\", \"bbox\": [372, 112, 481, 149]}, {\"cell\": \"Combined PRE and aerobic exercise group compared with no exercise\", \"bbox\": [41, 171, 92, 217]}, {\"cell\": \"2 studies(Perez-Moreno 2007 [31]; Rigsby 1992 [41])\", \"bbox\": [106, 171, 150, 217]}, {\"cell\": \"43\", \"bbox\": [157, 171, 167, 181]}, {\"cell\": \"−4.91 beats per minute\", \"bbox\": [204, 171, 236, 199]}, {\"cell\": \"−34.13, 24.30\", \"bbox\": [245, 171, 270, 190]}, {\"cell\": \"0.74\", \"bbox\": [290, 171, 305, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [319, 171, 363, 190]}, {\"cell\": \"“No significant difference in change in heart rate maximum among exercisers compared with non-exercisers.” [12].\", \"bbox\": [372, 171, 481, 208]}, {\"cell\": \"Exercise Time (min)\", \"bbox\": [1, 221, 28, 249]}, {\"cell\": \"Combined aerobic and PRE group compared with no exercise\", \"bbox\": [41, 221, 97, 258]}, {\"cell\": \"3 studies(Dolan 2006 [37]; Fitch 2012 [28]; Rigbsy 1992 [41])\", \"bbox\": [106, 221, 153, 267]}, {\"cell\": \"83\", \"bbox\": [157, 221, 167, 231]}, {\"cell\": \"3.29 min\", \"bbox\": [204, 221, 234, 231]}, {\"cell\": \"0.10, 6.49\", \"bbox\": [245, 221, 276, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 219, 307, 231]}, {\"cell\": \"97% (<i>p</i> < 0.00001)\", \"bbox\": [319, 221, 363, 240]}, {\"cell\": \"“Significant increase in exercise time among exercisers compared with non-exercisers.” [12].\", \"bbox\": [372, 221, 481, 249]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5389006_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}602{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Meaning units</b></td><td><b>Condensation</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>The dog is beautiful, but I have no sweets to give him.</td></tr><tr><td>[EMPTY_CELL]</td><td>Leaning towards the dog, caressing, laughing and looking at the dog. The dog is well behaved when sitting. Smiling and rocking its head.</td></tr><tr><td>[EMPTY_CELL]</td><td>Touches the dog, smiles, says something indistinct. Caresses the dog, wondering if the dog does not like it. Continues caressing, smiling.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Meaning units</b>\", \"bbox\": [5, 4, 52, 14]}, {\"cell\": \"<b>Condensation</b>\", \"bbox\": [339, 4, 383, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 16, 244, 35]}, {\"cell\": \"The dog is beautiful, but I have no sweets to give him.\", \"bbox\": [248, 16, 427, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 34, 244, 98]}, {\"cell\": \"Leaning towards the dog, caressing, laughing and looking at the dog. The dog is well behaved when sitting. Smiling and rocking its head.\", \"bbox\": [248, 34, 474, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 97, 244, 161]}, {\"cell\": \"Touches the dog, smiles, says something indistinct. Caresses the dog, wondering if the dog does not like it. Continues caressing, smiling.\", \"bbox\": [248, 97, 472, 116]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5510223_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}603{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Position</b></td><td colspan=\\\"2\\\"><b>1</b></td><td colspan=\\\"2\\\"><b>2</b></td><td colspan=\\\"2\\\"><b>3</b></td></tr><tr><td><b>δ<sub>H</sub> (<i>J</i> in Hz)</b></td><td><b>δ<sub>C</sub></b></td><td><b>δ<sub>H</sub> (<i>J</i> in Hz)</b></td><td><b>δ<sub>C</sub></b></td><td><b>δ<sub>H</sub> (<i>J</i> in Hz)</b></td><td><b>δ<sub>C</sub></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>211.1</td><td>[EMPTY_CELL]</td><td>211.3</td><td>[EMPTY_CELL]</td><td>207.9</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>52.8</td><td>[EMPTY_CELL]</td><td>52.6</td><td>[EMPTY_CELL]</td><td>55.9</td></tr><tr><td>[EMPTY_CELL]</td><td>4.84, s</td><td>86.0</td><td>4.85, s</td><td>86.5</td><td>4.74, s</td><td>84.1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>153.1</td><td>[EMPTY_CELL]</td><td>151.8</td><td>[EMPTY_CELL]</td><td>145.2</td></tr><tr><td>[EMPTY_CELL]</td><td>7.53, s</td><td>128.0</td><td>7.57, s</td><td>126.8</td><td>7.54, s</td><td>125.0</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>146.0</td><td>[EMPTY_CELL]</td><td>146.2</td><td>[EMPTY_CELL]</td><td>136.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>140.2</td><td>[EMPTY_CELL]</td><td>138.3</td><td>[EMPTY_CELL]</td><td>132.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>139.0</td><td>[EMPTY_CELL]</td><td>138.6</td><td>[EMPTY_CELL]</td><td>137.2</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>131.5</td><td>[EMPTY_CELL]</td><td>130.9</td><td>[EMPTY_CELL]</td><td>131.3</td></tr><tr><td>[EMPTY_CELL]</td><td>1.07, s</td><td>22.7</td><td>1.08, s</td><td>22.0</td><td>1.22, s</td><td>17.2</td></tr><tr><td>[EMPTY_CELL]</td><td>1.61, s</td><td>22.2</td><td>1.29, s</td><td>22.8</td><td>3.56, m</td><td>65.7</td></tr><tr><td>[EMPTY_CELL]</td><td>5.40, dd (5,4, 5.2)</td><td>71.9</td><td>3.30, t (7.7)</td><td>33.1</td><td>3.00, t (7.7)</td><td>31.7</td></tr><tr><td>[EMPTY_CELL]</td><td>3.93, m</td><td>47.8</td><td>3.60, t (7.7)</td><td>61.6</td><td>3.58, t (7.7)</td><td>60.2</td></tr><tr><td>[EMPTY_CELL]</td><td>2.73, s</td><td>15.1</td><td>2.63, s</td><td>14.1</td><td>2.65, s</td><td>12.7</td></tr><tr><td>[EMPTY_CELL]</td><td>2.50, s</td><td>22.0</td><td>2.46, s</td><td>21.4</td><td>2.47, s</td><td>20.0</td></tr><tr><td>[EMPTY_CELL]</td><td>4.56, d (7.7)</td><td>105.9</td><td>4.70, d (7.7)</td><td>105.8</td><td>4.64, d (7.9)</td><td>104.3</td></tr><tr><td>[EMPTY_CELL]</td><td>3.27–3.43, m</td><td>75.3</td><td>3.00–4.00, m</td><td>73.8</td><td>3.00–4.00, m</td><td>72.2</td></tr><tr><td>[EMPTY_CELL]</td><td>3.27–3.43, m</td><td>78.2</td><td>3.00–4.00, m</td><td>79.1</td><td>3.00–4.00, m</td><td>77.3</td></tr><tr><td>[EMPTY_CELL]</td><td>3.27–3.43, m</td><td>71.7</td><td>3.00–4.00, m</td><td>69.9</td><td>3.00–4.00, m</td><td>68.4</td></tr><tr><td>[EMPTY_CELL]</td><td>3.27–3.43, m</td><td>78.0</td><td>3.00–4.00, m</td><td>77.9</td><td>3.00–4.00, m</td><td>76.7</td></tr><tr><td>[EMPTY_CELL]</td><td>3.72–3.75, m</td><td>62.9</td><td>3.72–3.93, m</td><td>62.5</td><td>3.70–3.80, m</td><td>60.9</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>127.3</td><td>[EMPTY_CELL]</td><td>125.9</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7.46, d (8.4)</td><td>131.1</td><td>7.50, d (8.6)</td><td>129.7</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7.64, d (8.4)</td><td>116.8</td><td>6.80, d (8.6)</td><td>115.4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>161.2</td><td>[EMPTY_CELL]</td><td>159.9</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7.66, d (15.8)</td><td>146.6</td><td>7.67, d (16.0)</td><td>144.9</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>6.40, d (15.8)</td><td>115.6</td><td>6.41, d (16.0)</td><td>114.1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>169.1</td><td>[EMPTY_CELL]</td><td>167.6</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Position</b>\", \"bbox\": [7, 14, 46, 25]}, {\"cell\": \"<b>1</b>\", \"bbox\": [110, 6, 117, 18]}, {\"cell\": \"<b>2</b>\", \"bbox\": [225, 6, 233, 18]}, {\"cell\": \"<b>3</b>\", \"bbox\": [331, 6, 339, 18]}, {\"cell\": \"<b>δ<sub>H</sub> (<i>J</i> in Hz)</b>\", \"bbox\": [67, 18, 124, 34]}, {\"cell\": \"<b>δ<sub>C</sub></b>\", \"bbox\": [152, 18, 165, 34]}, {\"cell\": \"<b>δ<sub>H</sub> (<i>J</i> in Hz)</b>\", \"bbox\": [183, 18, 240, 34]}, {\"cell\": \"<b>δ<sub>C</sub></b>\", \"bbox\": [258, 18, 271, 34]}, {\"cell\": \"<b>δ<sub>H</sub> (<i>J</i> in Hz)</b>\", \"bbox\": [289, 18, 346, 34]}, {\"cell\": \"<b>δ<sub>C</sub></b>\", \"bbox\": [364, 18, 377, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 37, 30, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"211.1\", \"bbox\": [145, 37, 172, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"211.3\", \"bbox\": [251, 37, 278, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"207.9\", \"bbox\": [357, 37, 384, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 52, 30, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"52.8\", \"bbox\": [148, 52, 169, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"52.6\", \"bbox\": [254, 52, 275, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"55.9\", \"bbox\": [360, 52, 381, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 67, 30, 79]}, {\"cell\": \"4.84, s\", \"bbox\": [80, 67, 111, 79]}, {\"cell\": \"86.0\", \"bbox\": [148, 67, 169, 79]}, {\"cell\": \"4.85, s\", \"bbox\": [196, 67, 227, 79]}, {\"cell\": \"86.5\", \"bbox\": [254, 67, 275, 79]}, {\"cell\": \"4.74, s\", \"bbox\": [302, 67, 333, 79]}, {\"cell\": \"84.1\", \"bbox\": [360, 67, 381, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 82, 30, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"153.1\", \"bbox\": [145, 82, 172, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"151.8\", \"bbox\": [251, 82, 278, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"145.2\", \"bbox\": [357, 82, 384, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 97, 30, 109]}, {\"cell\": \"7.53, s\", \"bbox\": [80, 97, 111, 109]}, {\"cell\": \"128.0\", \"bbox\": [145, 97, 172, 109]}, {\"cell\": \"7.57, s\", \"bbox\": [196, 97, 227, 109]}, {\"cell\": \"126.8\", \"bbox\": [251, 97, 278, 109]}, {\"cell\": \"7.54, s\", \"bbox\": [302, 97, 333, 109]}, {\"cell\": \"125.0\", \"bbox\": [357, 97, 384, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 112, 30, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"146.0\", \"bbox\": [145, 112, 172, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"146.2\", \"bbox\": [251, 112, 278, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"136.5\", \"bbox\": [357, 112, 384, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 127, 30, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"140.2\", \"bbox\": [145, 127, 172, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"138.3\", \"bbox\": [251, 127, 278, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"132.3\", \"bbox\": [357, 127, 384, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 142, 30, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"139.0\", \"bbox\": [145, 142, 172, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"138.6\", \"bbox\": [251, 142, 278, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"137.2\", \"bbox\": [357, 142, 384, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 157, 30, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"131.5\", \"bbox\": [145, 157, 172, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"130.9\", \"bbox\": [251, 157, 278, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"131.3\", \"bbox\": [357, 157, 384, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 172, 33, 184]}, {\"cell\": \"1.07, s\", \"bbox\": [80, 172, 111, 184]}, {\"cell\": \"22.7\", \"bbox\": [148, 172, 169, 184]}, {\"cell\": \"1.08, s\", \"bbox\": [196, 172, 227, 184]}, {\"cell\": \"22.0\", \"bbox\": [254, 172, 275, 184]}, {\"cell\": \"1.22, s\", \"bbox\": [302, 172, 333, 184]}, {\"cell\": \"17.2\", \"bbox\": [360, 172, 381, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 187, 33, 199]}, {\"cell\": \"1.61, s\", \"bbox\": [80, 187, 111, 199]}, {\"cell\": \"22.2\", \"bbox\": [148, 187, 169, 199]}, {\"cell\": \"1.29, s\", \"bbox\": [196, 187, 227, 199]}, {\"cell\": \"22.8\", \"bbox\": [254, 187, 275, 199]}, {\"cell\": \"3.56, m\", \"bbox\": [299, 187, 335, 199]}, {\"cell\": \"65.7\", \"bbox\": [360, 187, 381, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 202, 33, 214]}, {\"cell\": \"5.40, dd (5,4, 5.2)\", \"bbox\": [55, 202, 136, 214]}, {\"cell\": \"71.9\", \"bbox\": [148, 202, 169, 214]}, {\"cell\": \"3.30, t (7.7)\", \"bbox\": [184, 202, 238, 214]}, {\"cell\": \"33.1\", \"bbox\": [254, 202, 275, 214]}, {\"cell\": \"3.00, t (7.7)\", \"bbox\": [290, 202, 344, 214]}, {\"cell\": \"31.7\", \"bbox\": [360, 202, 381, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 217, 33, 229]}, {\"cell\": \"3.93, m\", \"bbox\": [78, 217, 113, 229]}, {\"cell\": \"47.8\", \"bbox\": [148, 217, 169, 229]}, {\"cell\": \"3.60, t (7.7)\", \"bbox\": [184, 217, 238, 229]}, {\"cell\": \"61.6\", \"bbox\": [254, 217, 275, 229]}, {\"cell\": \"3.58, t (7.7)\", \"bbox\": [290, 217, 344, 229]}, {\"cell\": \"60.2\", \"bbox\": [360, 217, 381, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 232, 33, 244]}, {\"cell\": \"2.73, s\", \"bbox\": [80, 232, 111, 244]}, {\"cell\": \"15.1\", \"bbox\": [148, 232, 169, 244]}, {\"cell\": \"2.63, s\", \"bbox\": [196, 232, 227, 244]}, {\"cell\": \"14.1\", \"bbox\": [254, 232, 275, 244]}, {\"cell\": \"2.65, s\", \"bbox\": [302, 232, 333, 244]}, {\"cell\": \"12.7\", \"bbox\": [360, 232, 381, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 247, 33, 259]}, {\"cell\": \"2.50, s\", \"bbox\": [80, 247, 111, 259]}, {\"cell\": \"22.0\", \"bbox\": [148, 247, 169, 259]}, {\"cell\": \"2.46, s\", \"bbox\": [196, 247, 227, 259]}, {\"cell\": \"21.4\", \"bbox\": [254, 247, 275, 259]}, {\"cell\": \"2.47, s\", \"bbox\": [302, 247, 333, 259]}, {\"cell\": \"20.0\", \"bbox\": [360, 247, 381, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 262, 31, 274]}, {\"cell\": \"4.56, d (7.7)\", \"bbox\": [68, 262, 124, 274]}, {\"cell\": \"105.9\", \"bbox\": [145, 262, 172, 274]}, {\"cell\": \"4.70, d (7.7)\", \"bbox\": [183, 262, 239, 274]}, {\"cell\": \"105.8\", \"bbox\": [251, 262, 278, 274]}, {\"cell\": \"4.64, d (7.9)\", \"bbox\": [289, 262, 345, 274]}, {\"cell\": \"104.3\", \"bbox\": [357, 262, 384, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 277, 31, 289]}, {\"cell\": \"3.27–3.43, m\", \"bbox\": [66, 277, 126, 289]}, {\"cell\": \"75.3\", \"bbox\": [148, 277, 169, 289]}, {\"cell\": \"3.00–4.00, m\", \"bbox\": [181, 277, 241, 289]}, {\"cell\": \"73.8\", \"bbox\": [254, 277, 275, 289]}, {\"cell\": \"3.00–4.00, m\", \"bbox\": [287, 277, 347, 289]}, {\"cell\": \"72.2\", \"bbox\": [360, 277, 381, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 292, 31, 304]}, {\"cell\": \"3.27–3.43, m\", \"bbox\": [66, 292, 126, 304]}, {\"cell\": \"78.2\", \"bbox\": [148, 292, 169, 304]}, {\"cell\": \"3.00–4.00, m\", \"bbox\": [181, 292, 241, 304]}, {\"cell\": \"79.1\", \"bbox\": [254, 292, 275, 304]}, {\"cell\": \"3.00–4.00, m\", \"bbox\": [287, 292, 347, 304]}, {\"cell\": \"77.3\", \"bbox\": [360, 292, 381, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 307, 31, 319]}, {\"cell\": \"3.27–3.43, m\", \"bbox\": [66, 307, 126, 319]}, {\"cell\": \"71.7\", \"bbox\": [148, 307, 169, 319]}, {\"cell\": \"3.00–4.00, m\", \"bbox\": [181, 307, 241, 319]}, {\"cell\": \"69.9\", \"bbox\": [254, 307, 275, 319]}, {\"cell\": \"3.00–4.00, m\", \"bbox\": [287, 307, 347, 319]}, {\"cell\": \"68.4\", \"bbox\": [360, 307, 381, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 322, 31, 334]}, {\"cell\": \"3.27–3.43, m\", \"bbox\": [66, 322, 126, 334]}, {\"cell\": \"78.0\", \"bbox\": [148, 322, 169, 334]}, {\"cell\": \"3.00–4.00, m\", \"bbox\": [181, 322, 241, 334]}, {\"cell\": \"77.9\", \"bbox\": [254, 322, 275, 334]}, {\"cell\": \"3.00–4.00, m\", \"bbox\": [287, 322, 347, 334]}, {\"cell\": \"76.7\", \"bbox\": [360, 322, 381, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 337, 31, 349]}, {\"cell\": \"3.72–3.75, m\", \"bbox\": [66, 337, 126, 349]}, {\"cell\": \"62.9\", \"bbox\": [148, 337, 169, 349]}, {\"cell\": \"3.72–3.93, m\", \"bbox\": [181, 337, 241, 349]}, {\"cell\": \"62.5\", \"bbox\": [254, 337, 275, 349]}, {\"cell\": \"3.70–3.80, m\", \"bbox\": [287, 337, 347, 349]}, {\"cell\": \"60.9\", \"bbox\": [360, 337, 381, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 352, 33, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"127.3\", \"bbox\": [251, 352, 278, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"125.9\", \"bbox\": [357, 352, 384, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 367, 39, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7.46, d (8.4)\", \"bbox\": [183, 367, 239, 379]}, {\"cell\": \"131.1\", \"bbox\": [251, 367, 278, 379]}, {\"cell\": \"7.50, d (8.6)\", \"bbox\": [289, 367, 345, 379]}, {\"cell\": \"129.7\", \"bbox\": [357, 367, 384, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 382, 39, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7.64, d (8.4)\", \"bbox\": [183, 382, 239, 394]}, {\"cell\": \"116.8\", \"bbox\": [251, 382, 278, 394]}, {\"cell\": \"6.80, d (8.6)\", \"bbox\": [289, 382, 345, 394]}, {\"cell\": \"115.4\", \"bbox\": [357, 382, 384, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 397, 33, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"161.2\", \"bbox\": [251, 397, 278, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"159.9\", \"bbox\": [357, 397, 384, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 412, 33, 424]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7.66, d (15.8)\", \"bbox\": [180, 412, 242, 424]}, {\"cell\": \"146.6\", \"bbox\": [251, 412, 278, 424]}, {\"cell\": \"7.67, d (16.0)\", \"bbox\": [286, 412, 348, 424]}, {\"cell\": \"144.9\", \"bbox\": [357, 412, 384, 424]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 427, 33, 439]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6.40, d (15.8)\", \"bbox\": [180, 427, 242, 439]}, {\"cell\": \"115.6\", \"bbox\": [251, 427, 278, 439]}, {\"cell\": \"6.41, d (16.0)\", \"bbox\": [286, 427, 348, 439]}, {\"cell\": \"114.1\", \"bbox\": [357, 427, 384, 439]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 442, 33, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"169.1\", \"bbox\": [251, 442, 278, 454]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"167.6\", \"bbox\": [357, 442, 384, 454]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4346848_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}604{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Indicator</b></td><td><b>Description</b></td></tr></thead><tbody><tr><td>Infant mortality 1 (in the year of birth*)</td><td>[EMPTY_CELL]</td></tr><tr><td>Infant mortality 2 (in the survey year<sup>2</sup>)</td><td>[EMPTY_CELL]</td></tr><tr><td>Illiteracy rate*</td><td>[EMPTY_CELL]</td></tr><tr><td>Poverty*</td><td>[EMPTY_CELL]</td></tr><tr><td>Income*</td><td>[EMPTY_CELL]</td></tr><tr><td>Water supply*</td><td>[EMPTY_CELL]</td></tr><tr><td>HDI*</td><td>[EMPTY_CELL]</td></tr><tr><td>GINI*</td><td>[EMPTY_CELL]</td></tr><tr><td>Sanitation<sup>†</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Mortality for external causes<sup>†</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Hospital beds<sup>†</sup></td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Indicator</b>\", \"bbox\": [53, 5, 90, 14]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [297, 5, 343, 14]}, {\"cell\": \"Infant mortality 1 (in the year of birth*)\", \"bbox\": [4, 27, 138, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 27, 451, 36]}, {\"cell\": \"Infant mortality 2 (in the survey year<sup>2</sup>)\", \"bbox\": [4, 36, 134, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 37, 394, 47]}, {\"cell\": \"Illiteracy rate*\", \"bbox\": [4, 47, 54, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 36, 374, 59]}, {\"cell\": \"Poverty*\", \"bbox\": [4, 57, 36, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 57, 287, 67]}, {\"cell\": \"Income*\", \"bbox\": [4, 67, 35, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 67, 442, 77]}, {\"cell\": \"Water supply*\", \"bbox\": [4, 78, 55, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 78, 280, 88]}, {\"cell\": \"HDI*\", \"bbox\": [4, 88, 24, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 88, 275, 98]}, {\"cell\": \"GINI*\", \"bbox\": [4, 98, 27, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 98, 387, 108]}, {\"cell\": \"Sanitation<sup>†</sup>\", \"bbox\": [4, 108, 42, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 108, 493, 128]}, {\"cell\": \"Mortality for external causes<sup>†</sup>\", \"bbox\": [4, 128, 106, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 128, 486, 147]}, {\"cell\": \"Hospital beds<sup>†</sup>\", \"bbox\": [4, 147, 55, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 147, 368, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1988821_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}605{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Mean (standard deviation) of ratings of emotion intensity</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Content</b></td><td><b>Anger</b></td><td><b>Happiness</b></td><td><b>Sadness</b></td><td><b>Fear</b></td><td><b>Disgust</b></td><td><b>Surprise</b></td><td><b><i>N</i></b></td></tr></thead><tbody><tr><td><b>Average ratings of fear expressions</b></td><td>1,05 (0,23)</td><td>1,20 (0,42)</td><td>1,05 (0,25)</td><td>3,22 (0,76)</td><td>[EMPTY_CELL]</td><td>1,93 (0,49)</td><td>380</td></tr><tr><td>Female actor #1</td><td>1,06 (0,27)</td><td>1,01 (0,10)</td><td>1,04 (0,22)</td><td>3,59 (0,60)</td><td>[EMPTY_CELL]</td><td>2,08 (0,49)</td><td>385</td></tr><tr><td>Female actor #2</td><td>1,04 (0,19)</td><td>1,01 (0,10)</td><td>1,04 (0,21)</td><td>3,41 (0,61)</td><td>[EMPTY_CELL]</td><td>2,03 (0,42)</td><td>405</td></tr><tr><td>Male actor #1</td><td>1,09 (0,30)</td><td>1,82 (0,45)</td><td>1,07 (0,28)</td><td>2,36 (0,51)</td><td>[EMPTY_CELL]</td><td>1,88 (0,43)</td><td>362</td></tr><tr><td>Male actor #2</td><td>1,02 (0,14)</td><td>1,01 (0,09)</td><td>1,07 (0,27)</td><td>3,47 (0,62)</td><td>[EMPTY_CELL]</td><td>1,70 (0,53)</td><td>366</td></tr><tr><td><b>Average ratings of disgust expressions</b></td><td>1,09 (0,30)</td><td>1,01 (0,11)</td><td>1,23 (0,44)</td><td>1,14 (0,36)</td><td>[EMPTY_CELL]</td><td>1,19 (0,42)</td><td>410</td></tr><tr><td>Female actor #1</td><td>1,13 (0,34)</td><td>1,02 (0,14)</td><td>1,23 (0,44)</td><td>1,37 (0,50)</td><td>[EMPTY_CELL]</td><td>1,45 (0,51)</td><td>394</td></tr><tr><td>Female actor #2</td><td>1,08 (0,31)</td><td>1,02 (0,14)</td><td>1,03 (0,17)</td><td>1,05 (0,25)</td><td>[EMPTY_CELL]</td><td>1,14 (0,36)</td><td>409</td></tr><tr><td>Male actor #1</td><td>1,11 (0,33)</td><td>1,01 (0,10)</td><td>1,60 (0,51)</td><td>1,10 (0,32)</td><td>[EMPTY_CELL]</td><td>1,08 (0,31)</td><td>408</td></tr><tr><td>Male actor #2</td><td>1,03 (0,18)</td><td>1,00 (0,00)</td><td>1,06 (0,28)</td><td>1,04 (0,22)</td><td>[EMPTY_CELL]</td><td>1,11 (0,37)</td><td>430</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mean (standard deviation) of ratings of emotion intensity</b>\", \"bbox\": [218, 6, 408, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Content</b>\", \"bbox\": [1, 26, 29, 34]}, {\"cell\": \"<b>Anger</b>\", \"bbox\": [160, 26, 182, 34]}, {\"cell\": \"<b>Happiness</b>\", \"bbox\": [210, 26, 247, 34]}, {\"cell\": \"<b>Sadness</b>\", \"bbox\": [271, 26, 302, 34]}, {\"cell\": \"<b>Fear</b>\", \"bbox\": [334, 26, 351, 34]}, {\"cell\": \"<b>Disgust</b>\", \"bbox\": [385, 26, 413, 34]}, {\"cell\": \"<b>Surprise</b>\", \"bbox\": [440, 26, 470, 34]}, {\"cell\": \"<b><i>N</i></b>\", \"bbox\": [497, 26, 505, 33]}, {\"cell\": \"<b>Average ratings of fear expressions</b>\", \"bbox\": [1, 43, 121, 51]}, {\"cell\": \"1,05 (0,23)\", \"bbox\": [154, 43, 188, 51]}, {\"cell\": \"1,20 (0,42)\", \"bbox\": [211, 43, 246, 51]}, {\"cell\": \"1,05 (0,25)\", \"bbox\": [269, 43, 304, 51]}, {\"cell\": \"3,22 (0,76)\", \"bbox\": [325, 43, 360, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 43, 416, 51]}, {\"cell\": \"1,93 (0,49)\", \"bbox\": [438, 43, 473, 51]}, {\"cell\": \"380\", \"bbox\": [494, 43, 508, 51]}, {\"cell\": \"Female actor #1\", \"bbox\": [1, 54, 51, 63]}, {\"cell\": \"1,06 (0,27)\", \"bbox\": [154, 54, 188, 63]}, {\"cell\": \"1,01 (0,10)\", \"bbox\": [211, 54, 246, 63]}, {\"cell\": \"1,04 (0,22)\", \"bbox\": [269, 54, 304, 63]}, {\"cell\": \"3,59 (0,60)\", \"bbox\": [325, 54, 360, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 54, 416, 63]}, {\"cell\": \"2,08 (0,49)\", \"bbox\": [438, 54, 473, 63]}, {\"cell\": \"385\", \"bbox\": [494, 54, 508, 63]}, {\"cell\": \"Female actor #2\", \"bbox\": [1, 66, 51, 74]}, {\"cell\": \"1,04 (0,19)\", \"bbox\": [154, 66, 188, 74]}, {\"cell\": \"1,01 (0,10)\", \"bbox\": [211, 66, 246, 74]}, {\"cell\": \"1,04 (0,21)\", \"bbox\": [269, 66, 304, 74]}, {\"cell\": \"3,41 (0,61)\", \"bbox\": [325, 66, 360, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 66, 416, 74]}, {\"cell\": \"2,03 (0,42)\", \"bbox\": [438, 66, 473, 74]}, {\"cell\": \"405\", \"bbox\": [494, 66, 508, 74]}, {\"cell\": \"Male actor #1\", \"bbox\": [1, 77, 44, 85]}, {\"cell\": \"1,09 (0,30)\", \"bbox\": [154, 77, 188, 85]}, {\"cell\": \"1,82 (0,45)\", \"bbox\": [211, 77, 246, 85]}, {\"cell\": \"1,07 (0,28)\", \"bbox\": [269, 77, 304, 85]}, {\"cell\": \"2,36 (0,51)\", \"bbox\": [325, 77, 360, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 77, 416, 85]}, {\"cell\": \"1,88 (0,43)\", \"bbox\": [438, 77, 473, 85]}, {\"cell\": \"362\", \"bbox\": [494, 77, 508, 85]}, {\"cell\": \"Male actor #2\", \"bbox\": [1, 88, 44, 97]}, {\"cell\": \"1,02 (0,14)\", \"bbox\": [154, 88, 188, 97]}, {\"cell\": \"1,01 (0,09)\", \"bbox\": [211, 88, 246, 97]}, {\"cell\": \"1,07 (0,27)\", \"bbox\": [269, 88, 304, 97]}, {\"cell\": \"3,47 (0,62)\", \"bbox\": [325, 88, 360, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 88, 416, 97]}, {\"cell\": \"1,70 (0,53)\", \"bbox\": [438, 88, 473, 97]}, {\"cell\": \"366\", \"bbox\": [494, 88, 508, 97]}, {\"cell\": \"<b>Average ratings of disgust expressions</b>\", \"bbox\": [1, 100, 132, 108]}, {\"cell\": \"1,09 (0,30)\", \"bbox\": [154, 100, 188, 108]}, {\"cell\": \"1,01 (0,11)\", \"bbox\": [211, 100, 246, 108]}, {\"cell\": \"1,23 (0,44)\", \"bbox\": [269, 100, 304, 108]}, {\"cell\": \"1,14 (0,36)\", \"bbox\": [325, 100, 360, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 100, 416, 108]}, {\"cell\": \"1,19 (0,42)\", \"bbox\": [438, 100, 473, 108]}, {\"cell\": \"410\", \"bbox\": [494, 100, 508, 108]}, {\"cell\": \"Female actor #1\", \"bbox\": [1, 111, 51, 120]}, {\"cell\": \"1,13 (0,34)\", \"bbox\": [154, 111, 188, 120]}, {\"cell\": \"1,02 (0,14)\", \"bbox\": [211, 111, 246, 120]}, {\"cell\": \"1,23 (0,44)\", \"bbox\": [269, 111, 304, 120]}, {\"cell\": \"1,37 (0,50)\", \"bbox\": [325, 111, 360, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 111, 416, 120]}, {\"cell\": \"1,45 (0,51)\", \"bbox\": [438, 111, 473, 120]}, {\"cell\": \"394\", \"bbox\": [494, 111, 508, 120]}, {\"cell\": \"Female actor #2\", \"bbox\": [1, 122, 51, 131]}, {\"cell\": \"1,08 (0,31)\", \"bbox\": [154, 122, 188, 131]}, {\"cell\": \"1,02 (0,14)\", \"bbox\": [211, 122, 246, 131]}, {\"cell\": \"1,03 (0,17)\", \"bbox\": [269, 122, 304, 131]}, {\"cell\": \"1,05 (0,25)\", \"bbox\": [325, 122, 360, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 122, 416, 131]}, {\"cell\": \"1,14 (0,36)\", \"bbox\": [438, 122, 473, 131]}, {\"cell\": \"409\", \"bbox\": [494, 122, 508, 131]}, {\"cell\": \"Male actor #1\", \"bbox\": [1, 134, 44, 142]}, {\"cell\": \"1,11 (0,33)\", \"bbox\": [154, 134, 188, 142]}, {\"cell\": \"1,01 (0,10)\", \"bbox\": [211, 134, 246, 142]}, {\"cell\": \"1,60 (0,51)\", \"bbox\": [269, 134, 304, 142]}, {\"cell\": \"1,10 (0,32)\", \"bbox\": [325, 134, 360, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 134, 416, 142]}, {\"cell\": \"1,08 (0,31)\", \"bbox\": [438, 134, 473, 142]}, {\"cell\": \"408\", \"bbox\": [494, 134, 508, 142]}, {\"cell\": \"Male actor #2\", \"bbox\": [1, 145, 44, 154]}, {\"cell\": \"1,03 (0,18)\", \"bbox\": [154, 145, 188, 154]}, {\"cell\": \"1,00 (0,00)\", \"bbox\": [211, 145, 246, 154]}, {\"cell\": \"1,06 (0,28)\", \"bbox\": [269, 145, 304, 154]}, {\"cell\": \"1,04 (0,22)\", \"bbox\": [325, 145, 360, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [382, 145, 416, 154]}, {\"cell\": \"1,11 (0,37)\", \"bbox\": [438, 145, 473, 154]}, {\"cell\": \"430\", \"bbox\": [494, 145, 508, 154]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5120108_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}606{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Sociodemographic characteristics</b></td><td><b>Case, <i>n</i> (%)</b></td><td><b>Control, <i>n</i> (%)</b></td><td><b>Total, <i>n</i> (%)</b></td></tr></thead><tbody><tr><td>Mother age</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 15–24 years</td><td>94 (27.2)</td><td>252 (72.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> 25–44 years</td><td>189 (24.2)</td><td>592 (75.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> 45+ years</td><td>3 (17.6)</td><td>14 (82.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Educational status of the mother</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No education</td><td>98 (8.6)</td><td>233 (20.4)</td><td>[EMPTY_CELL]</td></tr><tr><td> Primary level</td><td>109 (33.4)</td><td>217 (66.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Secondary level</td><td>46 (18.7)</td><td>200 (81.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Higher level</td><td>33 (13.7)</td><td>208 (86.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Employment</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Employed</td><td>30 (14.3)</td><td>180 (85.7)</td><td>[EMPTY_CELL]</td></tr><tr><td> Petty trade</td><td>37 (18)</td><td>168 (82)</td><td>[EMPTY_CELL]</td></tr><tr><td> Unemployed</td><td>61 (5.3)</td><td>124 (10.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> Housewife</td><td>158 (29)</td><td>386 (71)</td><td>[EMPTY_CELL]</td></tr><tr><td>Family size</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> ≤5 families</td><td>190 (22.9)</td><td>641 (77.1)</td><td>[EMPTY_CELL]</td></tr><tr><td> >5 families</td><td>96 (30.7)</td><td>217 (69.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Main drinking water source</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Improved</td><td>264 (23.1)</td><td>817 (71.4)</td><td>[EMPTY_CELL]</td></tr><tr><td> Nonimproved</td><td>264 (23.1)</td><td>41 (3.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>The type of latrine</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No latrine</td><td>10 (20)</td><td>40 (80)</td><td>[EMPTY_CELL]</td></tr><tr><td> Pit latrine</td><td>246 (25.3)</td><td>726 (74.7)</td><td>[EMPTY_CELL]</td></tr><tr><td> VIPL</td><td>21 (22.1)</td><td>74 (77.9)</td><td>[EMPTY_CELL]</td></tr><tr><td> Water pouring</td><td>9 (33.3)</td><td>18 (66.7)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Sociodemographic characteristics</b>\", \"bbox\": [2, 4, 125, 15]}, {\"cell\": \"<b>Case, <i>n</i> (%)</b>\", \"bbox\": [200, 1, 243, 16]}, {\"cell\": \"<b>Control, <i>n</i> (%)</b>\", \"bbox\": [322, 1, 376, 16]}, {\"cell\": \"<b>Total, <i>n</i> (%)</b>\", \"bbox\": [455, 1, 499, 16]}, {\"cell\": \"Mother age\", \"bbox\": [2, 18, 45, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 15–24 years\", \"bbox\": [11, 31, 54, 41]}, {\"cell\": \"94 (27.2)\", \"bbox\": [205, 31, 238, 41]}, {\"cell\": \"252 (72.8)\", \"bbox\": [330, 31, 367, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 31, 498, 41]}, {\"cell\": \" 25–44 years\", \"bbox\": [11, 44, 56, 54]}, {\"cell\": \"189 (24.2)\", \"bbox\": [203, 44, 240, 54]}, {\"cell\": \"592 (75.8)\", \"bbox\": [330, 44, 367, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 44, 497, 54]}, {\"cell\": \" 45+ years\", \"bbox\": [11, 57, 48, 67]}, {\"cell\": \"3 (17.6)\", \"bbox\": [208, 57, 235, 67]}, {\"cell\": \"14 (82.4)\", \"bbox\": [333, 57, 365, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 57, 492, 67]}, {\"cell\": \"Educational status of the mother\", \"bbox\": [2, 69, 121, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No education\", \"bbox\": [11, 82, 62, 93]}, {\"cell\": \"98 (8.6)\", \"bbox\": [207, 82, 236, 93]}, {\"cell\": \"233 (20.4)\", \"bbox\": [330, 82, 368, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 82, 495, 93]}, {\"cell\": \" Primary level\", \"bbox\": [11, 95, 61, 106]}, {\"cell\": \"109 (33.4)\", \"bbox\": [203, 95, 240, 106]}, {\"cell\": \"217 (66.6)\", \"bbox\": [330, 95, 367, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 95, 498, 106]}, {\"cell\": \" Secondary level\", \"bbox\": [11, 108, 69, 119]}, {\"cell\": \"46 (18.7)\", \"bbox\": [205, 108, 238, 119]}, {\"cell\": \"200 (81.3)\", \"bbox\": [331, 108, 367, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 108, 495, 119]}, {\"cell\": \" Higher level\", \"bbox\": [11, 121, 57, 132]}, {\"cell\": \"33 (13.7)\", \"bbox\": [206, 121, 237, 132]}, {\"cell\": \"208 (86.3)\", \"bbox\": [330, 121, 368, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 121, 497, 132]}, {\"cell\": \"Employment\", \"bbox\": [2, 134, 51, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Employed\", \"bbox\": [11, 147, 50, 158]}, {\"cell\": \"30 (14.3)\", \"bbox\": [205, 147, 238, 158]}, {\"cell\": \"180 (85.7)\", \"bbox\": [331, 147, 367, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 147, 497, 158]}, {\"cell\": \" Petty trade\", \"bbox\": [11, 160, 52, 171]}, {\"cell\": \"37 (18)\", \"bbox\": [209, 160, 234, 171]}, {\"cell\": \"168 (82)\", \"bbox\": [334, 160, 364, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 160, 496, 171]}, {\"cell\": \" Unemployed\", \"bbox\": [11, 173, 59, 184]}, {\"cell\": \"61 (5.3)\", \"bbox\": [208, 173, 235, 184]}, {\"cell\": \"124 (10.8)\", \"bbox\": [331, 173, 367, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 173, 494, 184]}, {\"cell\": \" Housewife\", \"bbox\": [11, 186, 52, 197]}, {\"cell\": \"158 (29)\", \"bbox\": [207, 186, 237, 197]}, {\"cell\": \"386 (71)\", \"bbox\": [334, 186, 364, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 186, 497, 197]}, {\"cell\": \"Family size\", \"bbox\": [2, 199, 44, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤5 families\", \"bbox\": [11, 209, 53, 225]}, {\"cell\": \"190 (22.9)\", \"bbox\": [203, 212, 240, 223]}, {\"cell\": \"641 (77.1)\", \"bbox\": [332, 212, 366, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 212, 495, 223]}, {\"cell\": \" >5 families\", \"bbox\": [11, 222, 53, 238]}, {\"cell\": \"96 (30.7)\", \"bbox\": [205, 225, 239, 236]}, {\"cell\": \"217 (69.3)\", \"bbox\": [331, 225, 367, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 225, 494, 236]}, {\"cell\": \"Main drinking water source\", \"bbox\": [2, 238, 104, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Improved\", \"bbox\": [11, 251, 48, 262]}, {\"cell\": \"264 (23.1)\", \"bbox\": [203, 251, 240, 262]}, {\"cell\": \"817 (71.4)\", \"bbox\": [331, 251, 367, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 251, 497, 262]}, {\"cell\": \" Nonimproved\", \"bbox\": [11, 264, 64, 275]}, {\"cell\": \"264 (23.1)\", \"bbox\": [203, 264, 240, 275]}, {\"cell\": \"41 (3.6)\", \"bbox\": [335, 264, 363, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 264, 491, 275]}, {\"cell\": \"The type of latrine\", \"bbox\": [2, 277, 70, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No latrine\", \"bbox\": [11, 290, 50, 301]}, {\"cell\": \"10 (20)\", \"bbox\": [208, 290, 235, 301]}, {\"cell\": \"40 (80)\", \"bbox\": [335, 290, 363, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 290, 493, 301]}, {\"cell\": \" Pit latrine\", \"bbox\": [11, 303, 49, 314]}, {\"cell\": \"246 (25.3)\", \"bbox\": [203, 303, 240, 314]}, {\"cell\": \"726 (74.7)\", \"bbox\": [330, 303, 368, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 303, 498, 314]}, {\"cell\": \" VIPL\", \"bbox\": [11, 316, 33, 327]}, {\"cell\": \"21 (22.1)\", \"bbox\": [206, 316, 237, 327]}, {\"cell\": \"74 (77.9)\", \"bbox\": [333, 316, 365, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 316, 491, 327]}, {\"cell\": \" Water pouring\", \"bbox\": [11, 329, 66, 340]}, {\"cell\": \"9 (33.3)\", \"bbox\": [207, 329, 236, 340]}, {\"cell\": \"18 (66.7)\", \"bbox\": [333, 329, 365, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 329, 493, 340]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5878865_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}607{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Australia</b></td><td><b>USA</b></td><td><b>Japan</b></td><td><b>Korea</b></td></tr></thead><tbody><tr><td>N</td><td>7,355</td><td>10,358</td><td>3,541</td><td>[EMPTY_CELL]</td></tr><tr><td>Sex (% male)</td><td>16.1</td><td>41.9</td><td>44.2</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean age in years (SD)</td><td>77.2 (6.50)</td><td>74.5 (7.30)</td><td>74.4 (6.60)</td><td>[EMPTY_CELL]</td></tr><tr><td>Partner status (% partnered)</td><td>52.2</td><td>58.8</td><td>64.4</td><td>[EMPTY_CELL]</td></tr><tr><td>Educational level (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Grade 9 or lower</td><td>27.3</td><td>16.6</td><td>60.6</td><td>[EMPTY_CELL]</td></tr><tr><td> Grades 10-12</td><td>37.8</td><td>46.3</td><td>29.1</td><td>[EMPTY_CELL]</td></tr><tr><td> Post-secondary</td><td>34.9</td><td>37.0</td><td>10.3</td><td>[EMPTY_CELL]</td></tr><tr><td>Smoking (% non-smoker)</td><td>95.0</td><td>90.2</td><td>83.0</td><td>[EMPTY_CELL]</td></tr><tr><td>Drinking Alcohol (% abstainer)</td><td>27.7</td><td>70.3</td><td>66.1</td><td>[EMPTY_CELL]</td></tr><tr><td>Medical conditions (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>None</td><td>19.3</td><td>7.7</td><td>32.5</td><td>[EMPTY_CELL]</td></tr><tr><td> One</td><td>32.8</td><td>24.9</td><td>45.1</td><td>[EMPTY_CELL]</td></tr><tr><td> More than one</td><td>47.9</td><td>67.4</td><td>22.4</td><td>[EMPTY_CELL]</td></tr><tr><td>ADL Difficulty (% with no difficulty)</td><td>86.4</td><td>86.1</td><td>96.9</td><td>[EMPTY_CELL]</td></tr><tr><td>Mental Health Status (% poor)</td><td>12.4</td><td>14.9</td><td>13.3</td><td>[EMPTY_CELL]</td></tr><tr><td>Self-rated health (%)<sup>a</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Poor</td><td>3.0</td><td>8.5</td><td>2.5</td><td>[EMPTY_CELL]</td></tr><tr><td> Fair</td><td>22.1</td><td>22.7</td><td>20.8</td><td>[EMPTY_CELL]</td></tr><tr><td> Good</td><td>40.4</td><td>32.4</td><td>41.2</td><td>[EMPTY_CELL]</td></tr><tr><td> Very good</td><td>27.3</td><td>27.6</td><td>19.1</td><td>[EMPTY_CELL]</td></tr><tr><td> Excellent</td><td>7.1</td><td>8.8</td><td>16.4</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean self-rated health (SD)<sup>b</sup></td><td>2.87 (0.94)</td><td>2.94 (1.09)</td><td>2.74 (1.04)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 4, 49, 13]}, {\"cell\": \"<b>Australia</b>\", \"bbox\": [95, 4, 128, 13]}, {\"cell\": \"<b>USA</b>\", \"bbox\": [139, 4, 156, 13]}, {\"cell\": \"<b>Japan</b>\", \"bbox\": [172, 4, 195, 13]}, {\"cell\": \"<b>Korea</b>\", \"bbox\": [208, 4, 230, 13]}, {\"cell\": \"N\", \"bbox\": [1, 17, 8, 27]}, {\"cell\": \"7,355\", \"bbox\": [102, 17, 121, 27]}, {\"cell\": \"10,358\", \"bbox\": [136, 17, 159, 27]}, {\"cell\": \"3,541\", \"bbox\": [174, 17, 193, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 17, 229, 27]}, {\"cell\": \"Sex (% male)\", \"bbox\": [1, 31, 44, 41]}, {\"cell\": \"16.1\", \"bbox\": [104, 31, 119, 41]}, {\"cell\": \"41.9\", \"bbox\": [140, 31, 155, 41]}, {\"cell\": \"44.2\", \"bbox\": [176, 31, 191, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 31, 227, 41]}, {\"cell\": \"Mean age in years (SD)\", \"bbox\": [1, 45, 77, 55]}, {\"cell\": \"77.2 (6.50)\", \"bbox\": [95, 45, 129, 55]}, {\"cell\": \"74.5 (7.30)\", \"bbox\": [130, 45, 165, 55]}, {\"cell\": \"74.4 (6.60)\", \"bbox\": [166, 45, 201, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 45, 236, 55]}, {\"cell\": \"Partner status (% partnered)\", \"bbox\": [1, 59, 46, 78]}, {\"cell\": \"52.2\", \"bbox\": [104, 59, 119, 69]}, {\"cell\": \"58.8\", \"bbox\": [140, 59, 155, 69]}, {\"cell\": \"64.4\", \"bbox\": [176, 59, 191, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 59, 227, 69]}, {\"cell\": \"Educational level (%)\", \"bbox\": [1, 82, 69, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Grade 9 or lower\", \"bbox\": [8, 96, 65, 106]}, {\"cell\": \"27.3\", \"bbox\": [104, 96, 119, 106]}, {\"cell\": \"16.6\", \"bbox\": [140, 96, 155, 106]}, {\"cell\": \"60.6\", \"bbox\": [176, 96, 191, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 96, 227, 106]}, {\"cell\": \" Grades 10-12\", \"bbox\": [8, 110, 52, 120]}, {\"cell\": \"37.8\", \"bbox\": [104, 110, 119, 120]}, {\"cell\": \"46.3\", \"bbox\": [140, 110, 155, 120]}, {\"cell\": \"29.1\", \"bbox\": [176, 110, 191, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 110, 227, 120]}, {\"cell\": \" Post-secondary\", \"bbox\": [8, 124, 59, 134]}, {\"cell\": \"34.9\", \"bbox\": [104, 124, 119, 134]}, {\"cell\": \"37.0\", \"bbox\": [140, 124, 155, 134]}, {\"cell\": \"10.3\", \"bbox\": [176, 124, 191, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 124, 225, 134]}, {\"cell\": \"Smoking (% non-smoker)\", \"bbox\": [1, 138, 83, 148]}, {\"cell\": \"95.0\", \"bbox\": [104, 138, 119, 148]}, {\"cell\": \"90.2\", \"bbox\": [140, 138, 155, 148]}, {\"cell\": \"83.0\", \"bbox\": [176, 138, 191, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 138, 227, 148]}, {\"cell\": \"Drinking Alcohol (% abstainer)\", \"bbox\": [1, 152, 56, 171]}, {\"cell\": \"27.7\", \"bbox\": [104, 152, 119, 162]}, {\"cell\": \"70.3\", \"bbox\": [140, 152, 155, 162]}, {\"cell\": \"66.1\", \"bbox\": [176, 152, 191, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 152, 227, 162]}, {\"cell\": \"Medical conditions (%)\", \"bbox\": [1, 175, 75, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [1, 189, 20, 199]}, {\"cell\": \"19.3\", \"bbox\": [104, 189, 119, 199]}, {\"cell\": \"7.7\", \"bbox\": [142, 189, 153, 199]}, {\"cell\": \"32.5\", \"bbox\": [176, 189, 191, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 189, 227, 199]}, {\"cell\": \" One\", \"bbox\": [8, 203, 24, 213]}, {\"cell\": \"32.8\", \"bbox\": [104, 203, 119, 213]}, {\"cell\": \"24.9\", \"bbox\": [140, 203, 155, 213]}, {\"cell\": \"45.1\", \"bbox\": [176, 203, 191, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 203, 227, 213]}, {\"cell\": \" More than one\", \"bbox\": [8, 217, 59, 227]}, {\"cell\": \"47.9\", \"bbox\": [104, 217, 119, 227]}, {\"cell\": \"67.4\", \"bbox\": [140, 217, 155, 227]}, {\"cell\": \"22.4\", \"bbox\": [176, 217, 191, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 217, 227, 227]}, {\"cell\": \"ADL Difficulty (% with no difficulty)\", \"bbox\": [1, 231, 69, 250]}, {\"cell\": \"86.4\", \"bbox\": [104, 231, 119, 241]}, {\"cell\": \"86.1\", \"bbox\": [140, 231, 155, 241]}, {\"cell\": \"96.9\", \"bbox\": [176, 231, 191, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 231, 227, 241]}, {\"cell\": \"Mental Health Status (% poor)\", \"bbox\": [1, 254, 69, 273]}, {\"cell\": \"12.4\", \"bbox\": [104, 254, 119, 264]}, {\"cell\": \"14.9\", \"bbox\": [140, 254, 155, 264]}, {\"cell\": \"13.3\", \"bbox\": [176, 254, 191, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 254, 227, 264]}, {\"cell\": \"Self-rated health (%)<sup>a</sup>\", \"bbox\": [1, 275, 70, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Poor\", \"bbox\": [8, 291, 25, 301]}, {\"cell\": \"3.0\", \"bbox\": [106, 291, 117, 301]}, {\"cell\": \"8.5\", \"bbox\": [142, 291, 153, 301]}, {\"cell\": \"2.5\", \"bbox\": [178, 291, 189, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 291, 227, 301]}, {\"cell\": \" Fair\", \"bbox\": [8, 305, 22, 315]}, {\"cell\": \"22.1\", \"bbox\": [104, 305, 119, 315]}, {\"cell\": \"22.7\", \"bbox\": [140, 305, 155, 315]}, {\"cell\": \"20.8\", \"bbox\": [176, 305, 191, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 305, 227, 315]}, {\"cell\": \" Good\", \"bbox\": [8, 319, 28, 329]}, {\"cell\": \"40.4\", \"bbox\": [104, 319, 119, 329]}, {\"cell\": \"32.4\", \"bbox\": [140, 319, 155, 329]}, {\"cell\": \"41.2\", \"bbox\": [176, 319, 191, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [212, 319, 227, 329]}, {\"cell\": \" Very good\", \"bbox\": [8, 333, 44, 343]}, {\"cell\": \"27.3\", \"bbox\": [104, 333, 119, 343]}, {\"cell\": \"27.6\", \"bbox\": [140, 333, 155, 343]}, {\"cell\": \"19.1\", \"bbox\": [176, 333, 191, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 333, 225, 343]}, {\"cell\": \" Excellent\", \"bbox\": [8, 347, 39, 357]}, {\"cell\": \"7.1\", \"bbox\": [106, 347, 117, 357]}, {\"cell\": \"8.8\", \"bbox\": [142, 347, 153, 357]}, {\"cell\": \"16.4\", \"bbox\": [176, 347, 191, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 347, 225, 357]}, {\"cell\": \"Mean self-rated health (SD)<sup>b</sup>\", \"bbox\": [1, 359, 93, 371]}, {\"cell\": \"2.87 (0.94)\", \"bbox\": [95, 361, 129, 371]}, {\"cell\": \"2.94 (1.09)\", \"bbox\": [130, 361, 165, 371]}, {\"cell\": \"2.74 (1.04)\", \"bbox\": [166, 361, 201, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 361, 236, 371]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3490893_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}608{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Strain</b></td><td><b>Genotype</b></td><td><b>Source</b></td></tr></thead><tbody><tr><td>L40</td><td>[EMPTY_CELL]</td><td>Stagljar laboratory</td></tr><tr><td>Artificial bait in L40 (A0287)</td><td>[EMPTY_CELL]</td><td>Stagljar laboratory</td></tr><tr><td>Myo1 L40 L2</td><td>[EMPTY_CELL]</td><td>This study</td></tr><tr><td>Myo1 L40 L3</td><td>[EMPTY_CELL]</td><td>This study</td></tr><tr><td>BY4741</td><td>[EMPTY_CELL]</td><td>ATCC</td></tr><tr><td>Myo1-GFP</td><td>[EMPTY_CELL]</td><td>ThermoFisher</td></tr><tr><td>Myo1-TAP (orf)-HA</td><td>[EMPTY_CELL]</td><td>This study</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Strain</b>\", \"bbox\": [7, 5, 29, 15]}, {\"cell\": \"<b>Genotype</b>\", \"bbox\": [126, 5, 164, 15]}, {\"cell\": \"<b>Source</b>\", \"bbox\": [429, 5, 455, 15]}, {\"cell\": \"L40\", \"bbox\": [1, 18, 15, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 18, 382, 39]}, {\"cell\": \"Stagljar laboratory\", \"bbox\": [429, 18, 496, 29]}, {\"cell\": \"Artificial bait in L40 (A0287)\", \"bbox\": [0, 38, 101, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 38, 382, 59]}, {\"cell\": \"Stagljar laboratory\", \"bbox\": [429, 38, 496, 49]}, {\"cell\": \"Myo1 L40 L2\", \"bbox\": [1, 58, 49, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 58, 382, 79]}, {\"cell\": \"This study\", \"bbox\": [429, 58, 467, 69]}, {\"cell\": \"Myo1 L40 L3\", \"bbox\": [0, 78, 49, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 78, 382, 99]}, {\"cell\": \"This study\", \"bbox\": [429, 78, 467, 88]}, {\"cell\": \"BY4741\", \"bbox\": [0, 98, 30, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 98, 315, 108]}, {\"cell\": \"ATCC\", \"bbox\": [429, 98, 452, 108]}, {\"cell\": \"Myo1-GFP\", \"bbox\": [0, 108, 40, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 108, 358, 118]}, {\"cell\": \"ThermoFisher\", \"bbox\": [429, 108, 479, 118]}, {\"cell\": \"Myo1-TAP (orf)-HA\", \"bbox\": [0, 118, 69, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 118, 326, 128]}, {\"cell\": \"This study\", \"bbox\": [429, 118, 467, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [126, 128, 304, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4856097_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}609{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"5\\\"><b>Association of CD44 expression with tumor characteristics</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>n </i>(%)</b></td><td><b>CD44 <i>n </i>(%)</b></td><td><b><i>P</i></b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>CD44</td><td>+</td><td>84/141 (60%)</td><td>N/A</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td><td>57/141 (40%)</td><td>N/A</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>ER</td><td>+</td><td>121/140 (86%)</td><td>73/121 (60%)</td><td>0.025 Mann-Whitney,0.019 <i>t </i>test</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td><td>19/140 (14%)</td><td>16/19 (84%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>PR</td><td>+</td><td>96/140 (69%)</td><td>56/96 (58%)</td><td>0.021 Mann-Whitney,0.025 <i>t </i>test</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td><td>44/140 (31%)</td><td>33/44 (75%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Her2</td><td>+</td><td>13/133 (10%)</td><td>75/120 (63%)</td><td>Not significant</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td><td>120/133 (90%)</td><td>8/13 (62%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Basal</td><td>+</td><td>15/135 (11%)</td><td>13/15 (87%)</td><td>0.018 Mann-Whitney,0.021 <i>t </i>test</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td><td>120/135 (89%)</td><td>72/120 (60%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Triple negative</td><td>+</td><td>15/135 (11%)</td><td>13/15 (87%)</td><td>0.018 Mann-Whitney,0.021 <i>t </i>test</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td><td>120/135 (89%)</td><td>72/120 (60%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"5\\\">Expression of CD44 is expressed as a percentage of patients in individual clinical classifications (first column).</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Association of CD44 expression with tumor characteristics</b>\", \"bbox\": [140, 4, 345, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>n </i>(%)</b>\", \"bbox\": [170, 17, 190, 27]}, {\"cell\": \"<b>CD44 <i>n </i>(%)</b>\", \"bbox\": [262, 17, 303, 27]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [350, 18, 356, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CD44\", \"bbox\": [25, 30, 45, 40]}, {\"cell\": \"+\", \"bbox\": [119, 30, 126, 40]}, {\"cell\": \"84/141 (60%)\", \"bbox\": [170, 30, 214, 40]}, {\"cell\": \"N/A\", \"bbox\": [262, 30, 276, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 42, 123, 52]}, {\"cell\": \"57/141 (40%)\", \"bbox\": [170, 42, 214, 52]}, {\"cell\": \"N/A\", \"bbox\": [262, 42, 276, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER\", \"bbox\": [25, 54, 35, 64]}, {\"cell\": \"+\", \"bbox\": [119, 54, 126, 64]}, {\"cell\": \"121/140 (86%)\", \"bbox\": [170, 54, 218, 64]}, {\"cell\": \"73/121 (60%)\", \"bbox\": [262, 54, 306, 64]}, {\"cell\": \"0.025 Mann-Whitney,0.019 <i>t </i>test\", \"bbox\": [350, 54, 419, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 75, 123, 85]}, {\"cell\": \"19/140 (14%)\", \"bbox\": [170, 75, 214, 85]}, {\"cell\": \"16/19 (84%)\", \"bbox\": [262, 75, 302, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PR\", \"bbox\": [25, 87, 35, 97]}, {\"cell\": \"+\", \"bbox\": [119, 87, 126, 97]}, {\"cell\": \"96/140 (69%)\", \"bbox\": [170, 87, 214, 97]}, {\"cell\": \"56/96 (58%)\", \"bbox\": [262, 87, 302, 97]}, {\"cell\": \"0.021 Mann-Whitney,0.025 <i>t </i>test\", \"bbox\": [350, 87, 419, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 108, 123, 118]}, {\"cell\": \"44/140 (31%)\", \"bbox\": [170, 108, 214, 118]}, {\"cell\": \"33/44 (75%)\", \"bbox\": [262, 108, 302, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Her2\", \"bbox\": [25, 120, 42, 130]}, {\"cell\": \"+\", \"bbox\": [119, 120, 126, 130]}, {\"cell\": \"13/133 (10%)\", \"bbox\": [170, 120, 214, 130]}, {\"cell\": \"75/120 (63%)\", \"bbox\": [262, 120, 306, 130]}, {\"cell\": \"Not significant\", \"bbox\": [350, 120, 399, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 132, 123, 142]}, {\"cell\": \"120/133 (90%)\", \"bbox\": [170, 132, 218, 142]}, {\"cell\": \"8/13 (62%)\", \"bbox\": [262, 132, 298, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Basal\", \"bbox\": [25, 144, 43, 153]}, {\"cell\": \"+\", \"bbox\": [119, 144, 126, 153]}, {\"cell\": \"15/135 (11%)\", \"bbox\": [170, 144, 214, 153]}, {\"cell\": \"13/15 (87%)\", \"bbox\": [262, 144, 302, 153]}, {\"cell\": \"0.018 Mann-Whitney,0.021 <i>t </i>test\", \"bbox\": [350, 144, 419, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 165, 123, 174]}, {\"cell\": \"120/135 (89%)\", \"bbox\": [170, 165, 218, 174]}, {\"cell\": \"72/120 (60%)\", \"bbox\": [262, 165, 306, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Triple negative\", \"bbox\": [25, 177, 75, 186]}, {\"cell\": \"+\", \"bbox\": [119, 177, 126, 186]}, {\"cell\": \"15/135 (11%)\", \"bbox\": [170, 177, 214, 186]}, {\"cell\": \"13/15 (87%)\", \"bbox\": [262, 177, 302, 186]}, {\"cell\": \"0.018 Mann-Whitney,0.021 <i>t </i>test\", \"bbox\": [350, 177, 419, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [119, 198, 123, 207]}, {\"cell\": \"120/135 (89%)\", \"bbox\": [170, 198, 218, 207]}, {\"cell\": \"72/120 (60%)\", \"bbox\": [262, 198, 306, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Expression of CD44 is expressed as a percentage of patients in individual clinical classifications (first column).\", \"bbox\": [25, 210, 379, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3446347_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}610{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>FOTO<sup>1</sup></b></td><td><b>Maccabi<sup>2</sup></b></td><td><b>LiPZ<sup>3</sup></b></td></tr></thead><tbody><tr><td><b>Upper extremities</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Shoulder</td><td>19.0</td><td>11.7</td><td>[EMPTY_CELL]</td></tr><tr><td>Arm (upper and/or forearm)</td><td>0.9</td><td>2.0</td><td>[EMPTY_CELL]</td></tr><tr><td>Elbow</td><td>1.4</td><td>3.0</td><td>[EMPTY_CELL]</td></tr><tr><td>Wrist/hand</td><td>1.4</td><td>7.4</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Total upper extremities</i></td><td><i>22.7</i></td><td><i>24.1</i></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Lower extremities</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Pelvis/hip</td><td>5.8</td><td>4.7</td><td>[EMPTY_CELL]</td></tr><tr><td>Leg (upper and/or lower)</td><td>3.1</td><td>1.5</td><td>[EMPTY_CELL]</td></tr><tr><td>Knee</td><td>14.3</td><td>14.5</td><td>[EMPTY_CELL]</td></tr><tr><td>Ankle/foot</td><td>7.4</td><td>7.8</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Total lower extremities</i></td><td><i>30.6</i></td><td><i>28.5</i></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Spinal impairments</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Craniofacial</td><td>0.2</td><td>0.2</td><td>[EMPTY_CELL]</td></tr><tr><td>Neck</td><td>13.6</td><td>18.2</td><td>[EMPTY_CELL]</td></tr><tr><td>Ribs/trunk</td><td>0.2</td><td>0.7</td><td>[EMPTY_CELL]</td></tr><tr><td>Thoracic spine</td><td>2.0</td><td>4.2</td><td>[EMPTY_CELL]</td></tr><tr><td>Lumbar spine</td><td>30.6</td><td>24.2</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Total spinal impairments</i></td><td><i>46.6</i></td><td><i>47.5</i></td><td>[EMPTY_CELL]</td></tr><tr><td>Number of patients (abs.)</td><td>61,672</td><td>91,565</td><td>[EMPTY_CELL]</td></tr><tr><td>Unknown (abs.)</td><td>1,126</td><td>7,974</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>FOTO<sup>1</sup></b>\", \"bbox\": [125, 4, 155, 14]}, {\"cell\": \"<b>Maccabi<sup>2</sup></b>\", \"bbox\": [167, 4, 203, 14]}, {\"cell\": \"<b>LiPZ<sup>3</sup></b>\", \"bbox\": [214, 4, 237, 14]}, {\"cell\": \"<b>Upper extremities</b>\", \"bbox\": [4, 27, 78, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Shoulder\", \"bbox\": [4, 37, 36, 47]}, {\"cell\": \"19.0\", \"bbox\": [132, 37, 148, 47]}, {\"cell\": \"11.7\", \"bbox\": [177, 37, 193, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 37, 234, 47]}, {\"cell\": \"Arm (upper and/or forearm)\", \"bbox\": [4, 47, 102, 57]}, {\"cell\": \"0.9\", \"bbox\": [134, 47, 146, 57]}, {\"cell\": \"2.0\", \"bbox\": [179, 47, 191, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 47, 232, 57]}, {\"cell\": \"Elbow\", \"bbox\": [4, 57, 27, 67]}, {\"cell\": \"1.4\", \"bbox\": [134, 57, 146, 67]}, {\"cell\": \"3.0\", \"bbox\": [179, 57, 191, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 57, 232, 67]}, {\"cell\": \"Wrist/hand\", \"bbox\": [4, 68, 44, 77]}, {\"cell\": \"1.4\", \"bbox\": [134, 68, 146, 77]}, {\"cell\": \"7.4\", \"bbox\": [179, 68, 191, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 68, 232, 77]}, {\"cell\": \"<i>Total upper extremities</i>\", \"bbox\": [4, 78, 79, 88]}, {\"cell\": \"<i>22.7</i>\", \"bbox\": [132, 78, 149, 88]}, {\"cell\": \"<i>24.1</i>\", \"bbox\": [177, 78, 193, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [217, 78, 234, 88]}, {\"cell\": \"<b>Lower extremities</b>\", \"bbox\": [4, 99, 78, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pelvis/hip\", \"bbox\": [4, 109, 37, 118]}, {\"cell\": \"5.8\", \"bbox\": [134, 109, 146, 118]}, {\"cell\": \"4.7\", \"bbox\": [179, 109, 191, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 109, 232, 118]}, {\"cell\": \"Leg (upper and/or lower)\", \"bbox\": [4, 119, 91, 129]}, {\"cell\": \"3.1\", \"bbox\": [134, 119, 146, 129]}, {\"cell\": \"1.5\", \"bbox\": [179, 119, 191, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 119, 232, 129]}, {\"cell\": \"Knee\", \"bbox\": [4, 129, 24, 139]}, {\"cell\": \"14.3\", \"bbox\": [132, 129, 148, 139]}, {\"cell\": \"14.5\", \"bbox\": [177, 129, 193, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 129, 234, 139]}, {\"cell\": \"Ankle/foot\", \"bbox\": [4, 139, 42, 149]}, {\"cell\": \"7.4\", \"bbox\": [134, 139, 146, 149]}, {\"cell\": \"7.8\", \"bbox\": [179, 139, 191, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 139, 232, 149]}, {\"cell\": \"<i>Total lower extremities</i>\", \"bbox\": [4, 150, 77, 159]}, {\"cell\": \"<i>30.6</i>\", \"bbox\": [132, 150, 149, 159]}, {\"cell\": \"<i>28.5</i>\", \"bbox\": [177, 150, 193, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 150, 234, 159]}, {\"cell\": \"<b>Spinal impairments</b>\", \"bbox\": [4, 170, 81, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Craniofacial\", \"bbox\": [4, 180, 46, 190]}, {\"cell\": \"0.2\", \"bbox\": [134, 180, 146, 190]}, {\"cell\": \"0.2\", \"bbox\": [179, 180, 191, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 180, 232, 190]}, {\"cell\": \"Neck\", \"bbox\": [4, 191, 24, 200]}, {\"cell\": \"13.6\", \"bbox\": [132, 191, 148, 200]}, {\"cell\": \"18.2\", \"bbox\": [177, 191, 193, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 191, 234, 200]}, {\"cell\": \"Ribs/trunk\", \"bbox\": [4, 201, 41, 211]}, {\"cell\": \"0.2\", \"bbox\": [134, 201, 146, 211]}, {\"cell\": \"0.7\", \"bbox\": [179, 201, 191, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 201, 232, 211]}, {\"cell\": \"Thoracic spine\", \"bbox\": [4, 211, 55, 221]}, {\"cell\": \"2.0\", \"bbox\": [134, 211, 146, 221]}, {\"cell\": \"4.2\", \"bbox\": [179, 211, 191, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 211, 234, 221]}, {\"cell\": \"Lumbar spine\", \"bbox\": [4, 221, 51, 231]}, {\"cell\": \"30.6\", \"bbox\": [132, 221, 148, 231]}, {\"cell\": \"24.2\", \"bbox\": [177, 221, 193, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 221, 234, 231]}, {\"cell\": \"<i>Total spinal impairments</i>\", \"bbox\": [4, 232, 83, 241]}, {\"cell\": \"<i>46.6</i>\", \"bbox\": [132, 232, 149, 241]}, {\"cell\": \"<i>47.5</i>\", \"bbox\": [177, 232, 193, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 232, 234, 241]}, {\"cell\": \"Number of patients (abs.)\", \"bbox\": [4, 254, 92, 264]}, {\"cell\": \"61,672\", \"bbox\": [128, 254, 153, 264]}, {\"cell\": \"91,565\", \"bbox\": [173, 254, 197, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 254, 236, 264]}, {\"cell\": \"Unknown (abs.)\", \"bbox\": [4, 264, 59, 274]}, {\"cell\": \"1,126\", \"bbox\": [130, 264, 150, 274]}, {\"cell\": \"7,974\", \"bbox\": [175, 264, 195, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 264, 236, 274]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2533658_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}611{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Parameters</b></td><td><b>Numbers (<i>n</i> = 30)</b></td></tr></thead><tbody><tr><td>Age group in years</td><td>[EMPTY_CELL]</td></tr><tr><td> <40</td><td>[EMPTY_CELL]</td></tr><tr><td> 40–60</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥60</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>[EMPTY_CELL]</td></tr><tr><td>Symptoms</td><td>[EMPTY_CELL]</td></tr><tr><td> Abdomen pain</td><td>[EMPTY_CELL]</td></tr><tr><td> Jaundice</td><td>[EMPTY_CELL]</td></tr><tr><td> Fever</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean operative time</td><td>[EMPTY_CELL]</td></tr><tr><td>Total conversions</td><td>[EMPTY_CELL]</td></tr><tr><td>Reasons for conversion</td><td>[EMPTY_CELL]</td></tr><tr><td> Impaction</td><td>[EMPTY_CELL]</td></tr><tr><td> Frozen anatomy</td><td>[EMPTY_CELL]</td></tr><tr><td> Multiple stones</td><td>[EMPTY_CELL]</td></tr><tr><td> Nonretrieval of stone</td><td>[EMPTY_CELL]</td></tr><tr><td> Choledochoduodenostomy</td><td>[EMPTY_CELL]</td></tr><tr><td> Hepaticojejunostomy (choledochal cyst)</td><td>[EMPTY_CELL]</td></tr><tr><td>Complications</td><td>[EMPTY_CELL]</td></tr><tr><td> Morbidity</td><td>[EMPTY_CELL]</td></tr><tr><td>Chest infection</td><td>[EMPTY_CELL]</td></tr><tr><td>Surgical site infection</td><td>[EMPTY_CELL]</td></tr><tr><td>Acute coronary syndrome</td><td>[EMPTY_CELL]</td></tr><tr><td> Mortality</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameters</b>\", \"bbox\": [2, 8, 45, 19]}, {\"cell\": \"<b>Numbers (<i>n</i> = 30)</b>\", \"bbox\": [192, 4, 227, 27]}, {\"cell\": \"Age group in years\", \"bbox\": [2, 27, 72, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <40\", \"bbox\": [11, 37, 28, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 41, 213, 52]}, {\"cell\": \" 40–60\", \"bbox\": [11, 54, 36, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 54, 214, 65]}, {\"cell\": \" ≥60\", \"bbox\": [11, 64, 28, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 68, 213, 78]}, {\"cell\": \"Gender\", \"bbox\": [2, 80, 32, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [11, 93, 31, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 94, 214, 105]}, {\"cell\": \" Female\", \"bbox\": [11, 107, 39, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 107, 214, 118]}, {\"cell\": \"Symptoms\", \"bbox\": [2, 120, 42, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Abdomen pain\", \"bbox\": [11, 134, 67, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 134, 215, 145]}, {\"cell\": \" Jaundice\", \"bbox\": [11, 147, 44, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 148, 214, 158]}, {\"cell\": \" Fever\", \"bbox\": [11, 160, 33, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 161, 213, 172]}, {\"cell\": \"Mean operative time\", \"bbox\": [2, 178, 78, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [184, 171, 235, 195]}, {\"cell\": \"Total conversions\", \"bbox\": [2, 197, 67, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 198, 228, 209]}, {\"cell\": \"Reasons for conversion\", \"bbox\": [2, 211, 87, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Impaction\", \"bbox\": [11, 224, 51, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 225, 213, 235]}, {\"cell\": \" Frozen anatomy\", \"bbox\": [11, 237, 71, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 238, 212, 249]}, {\"cell\": \" Multiple stones\", \"bbox\": [11, 251, 68, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 251, 212, 262]}, {\"cell\": \" Nonretrieval of stone\", \"bbox\": [11, 264, 89, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 265, 212, 275]}, {\"cell\": \" Choledochoduodenostomy\", \"bbox\": [11, 277, 111, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 278, 213, 288]}, {\"cell\": \" Hepaticojejunostomy (choledochal cyst)\", \"bbox\": [11, 290, 158, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 291, 212, 302]}, {\"cell\": \"Complications\", \"bbox\": [2, 304, 57, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Morbidity\", \"bbox\": [11, 317, 50, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 318, 227, 329]}, {\"cell\": \"Chest infection\", \"bbox\": [20, 330, 77, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 331, 213, 342]}, {\"cell\": \"Surgical site infection\", \"bbox\": [20, 344, 100, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 344, 213, 355]}, {\"cell\": \"Acute coronary syndrome\", \"bbox\": [20, 357, 116, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 358, 212, 368]}, {\"cell\": \" Mortality\", \"bbox\": [11, 370, 47, 381]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 371, 213, 382]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5976910_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}612{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Baseline</b></td><td colspan=\\\"2\\\"><b>3% CO<sub>2</sub></b></td><td colspan=\\\"2\\\"><b>6% CO<sub>2</sub></b></td></tr><tr><td><b>GFP (<i>n</i> = 4)</b></td><td><b>Cre (<i>n</i> = 6)</b></td><td><b>GFP (<i>n</i> = 4)</b></td><td><b>Cre (<i>n</i> = 6)</b></td><td><b>GFP (<i>n</i> = 4)</b></td><td><b>Cre (<i>n</i> = 6)</b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\">Heart rate (BPM)</td></tr><tr><td>Pre</td><td>521 ± 41</td><td>587 ± 23</td><td>518 ± 22</td><td>[EMPTY_CELL]</td><td>518 ± 22</td><td>499 ± 27</td></tr><tr><td>Post</td><td>507 ± 24</td><td><b>654 ± 16</b><b>*</b></td><td>474 ± 26</td><td>[EMPTY_CELL]</td><td>474 ± 26</td><td><b>633 ± 19</b><b>**</b></td></tr><tr><td colspan=\\\"7\\\">Systolic blood pressure (mmHg)</td></tr><tr><td>Pre</td><td>135 ± 9</td><td>136 ± 6</td><td>155 ± 14</td><td>[EMPTY_CELL]</td><td>169 ± 8</td><td>164 ± 9</td></tr><tr><td>Post</td><td>137 ± 8</td><td><b>159 ± 4</b>*</td><td>160 ± 9</td><td>[EMPTY_CELL]</td><td>173 ± 10</td><td>170 ± 10</td></tr><tr><td colspan=\\\"7\\\">Diastolic blood pressure (mmHg)</td></tr><tr><td>Pre</td><td>65 ± 8</td><td>67 ± 7</td><td>65 ± 10</td><td>[EMPTY_CELL]</td><td>66 ± 7</td><td>63 ± 8</td></tr><tr><td>Post</td><td>64 ± 7</td><td><b>83 ± 6</b><b>*</b></td><td>63 ± 8</td><td>[EMPTY_CELL]</td><td>64 ± 8</td><td>62 ± 9</td></tr><tr><td colspan=\\\"7\\\">Respiratory rate (min<sup>−1</sup>)</td></tr><tr><td>Pre</td><td>198 ± 4</td><td>196 ± 6</td><td>218 ± 4</td><td>[EMPTY_CELL]</td><td>260 ± 12</td><td>269 ± 14</td></tr><tr><td>Post</td><td>202 ± 7</td><td>201 ± 5</td><td>229 ± 12</td><td>[EMPTY_CELL]</td><td>265 ± 10</td><td>307 ± 23</td></tr><tr><td colspan=\\\"7\\\">Minute volume (au g<sup>−1</sup> min<sup>−1</sup>)</td></tr><tr><td>Pre</td><td>1.0 ± 0.1</td><td>0.9 ± 0.1</td><td>1.9 ± 0.2</td><td>[EMPTY_CELL]</td><td>2.9 ± 0.1</td><td>3.0 ± 0.4</td></tr><tr><td>Post</td><td>0.8 ± 0.2</td><td>1.0 ± 0.1</td><td>1.7 ± 0.3</td><td>[EMPTY_CELL]</td><td>2.9 ± 0.3</td><td>4.7 ± 0.9</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Baseline</b>\", \"bbox\": [102, 6, 130, 15]}, {\"cell\": \"<b>3% CO<sub>2</sub></b>\", \"bbox\": [248, 6, 278, 16]}, {\"cell\": \"<b>6% CO<sub>2</sub></b>\", \"bbox\": [397, 6, 426, 16]}, {\"cell\": \"<b>GFP (<i>n</i> = 4)</b>\", \"bbox\": [60, 22, 99, 31]}, {\"cell\": \"<b>Cre (<i>n</i> = 6)</b>\", \"bbox\": [134, 22, 172, 31]}, {\"cell\": \"<b>GFP (<i>n</i> = 4)</b>\", \"bbox\": [207, 22, 246, 31]}, {\"cell\": \"<b>Cre (<i>n</i> = 6)</b>\", \"bbox\": [281, 22, 319, 31]}, {\"cell\": \"<b>GFP (<i>n</i> = 4)</b>\", \"bbox\": [354, 22, 393, 31]}, {\"cell\": \"<b>Cre (<i>n</i> = 6)</b>\", \"bbox\": [429, 22, 467, 31]}, {\"cell\": \"Heart rate (BPM)\", \"bbox\": [6, 40, 62, 49]}, {\"cell\": \"Pre\", \"bbox\": [10, 50, 22, 59]}, {\"cell\": \"521 ± 41\", \"bbox\": [62, 50, 96, 59]}, {\"cell\": \"587 ± 23\", \"bbox\": [134, 50, 168, 59]}, {\"cell\": \"518 ± 22\", \"bbox\": [209, 50, 242, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 50, 315, 59]}, {\"cell\": \"518 ± 22\", \"bbox\": [355, 50, 389, 59]}, {\"cell\": \"499 ± 27\", \"bbox\": [428, 50, 462, 59]}, {\"cell\": \"Post\", \"bbox\": [10, 61, 25, 70]}, {\"cell\": \"507 ± 24\", \"bbox\": [62, 61, 96, 70]}, {\"cell\": \"<b>654 ± 16</b><b>*</b>\", \"bbox\": [134, 61, 172, 68]}, {\"cell\": \"474 ± 26\", \"bbox\": [209, 61, 242, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 61, 319, 68]}, {\"cell\": \"474 ± 26\", \"bbox\": [355, 61, 389, 70]}, {\"cell\": \"<b>633 ± 19</b><b>**</b>\", \"bbox\": [428, 61, 469, 68]}, {\"cell\": \"Systolic blood pressure (mmHg)\", \"bbox\": [6, 71, 110, 80]}, {\"cell\": \"Pre\", \"bbox\": [10, 82, 22, 91]}, {\"cell\": \"135 ± 9\", \"bbox\": [62, 82, 92, 91]}, {\"cell\": \"136 ± 6\", \"bbox\": [134, 82, 164, 91]}, {\"cell\": \"155 ± 14\", \"bbox\": [209, 82, 242, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 82, 311, 91]}, {\"cell\": \"169 ± 8\", \"bbox\": [355, 82, 385, 91]}, {\"cell\": \"164 ± 9\", \"bbox\": [428, 82, 457, 91]}, {\"cell\": \"Post\", \"bbox\": [10, 92, 25, 101]}, {\"cell\": \"137 ± 8\", \"bbox\": [62, 92, 92, 101]}, {\"cell\": \"<b>159 ± 4</b>*\", \"bbox\": [134, 92, 168, 100]}, {\"cell\": \"160 ± 9\", \"bbox\": [209, 92, 238, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 92, 311, 101]}, {\"cell\": \"173 ± 10\", \"bbox\": [355, 92, 389, 101]}, {\"cell\": \"170 ± 10\", \"bbox\": [428, 92, 462, 101]}, {\"cell\": \"Diastolic blood pressure (mmHg)\", \"bbox\": [6, 102, 113, 112]}, {\"cell\": \"Pre\", \"bbox\": [10, 113, 22, 122]}, {\"cell\": \"65 ± 8\", \"bbox\": [66, 113, 92, 122]}, {\"cell\": \"67 ± 7\", \"bbox\": [139, 113, 164, 122]}, {\"cell\": \"65 ± 10\", \"bbox\": [213, 113, 242, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 113, 311, 122]}, {\"cell\": \"66 ± 7\", \"bbox\": [359, 113, 385, 122]}, {\"cell\": \"63 ± 8\", \"bbox\": [432, 113, 457, 122]}, {\"cell\": \"Post\", \"bbox\": [10, 123, 25, 133]}, {\"cell\": \"64 ± 7\", \"bbox\": [66, 123, 92, 133]}, {\"cell\": \"<b>83 ± 6</b><b>*</b>\", \"bbox\": [139, 124, 168, 131]}, {\"cell\": \"63 ± 8\", \"bbox\": [213, 123, 238, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 123, 311, 133]}, {\"cell\": \"64 ± 8\", \"bbox\": [359, 123, 385, 133]}, {\"cell\": \"62 ± 9\", \"bbox\": [432, 123, 457, 133]}, {\"cell\": \"Respiratory rate (min<sup>−1</sup>)\", \"bbox\": [6, 132, 85, 143]}, {\"cell\": \"Pre\", \"bbox\": [10, 144, 22, 154]}, {\"cell\": \"198 ± 4\", \"bbox\": [62, 144, 92, 154]}, {\"cell\": \"196 ± 6\", \"bbox\": [134, 144, 164, 154]}, {\"cell\": \"218 ± 4\", \"bbox\": [209, 144, 238, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 144, 311, 154]}, {\"cell\": \"260 ± 12\", \"bbox\": [355, 144, 389, 154]}, {\"cell\": \"269 ± 14\", \"bbox\": [428, 144, 462, 154]}, {\"cell\": \"Post\", \"bbox\": [10, 155, 25, 164]}, {\"cell\": \"202 ± 7\", \"bbox\": [62, 155, 92, 164]}, {\"cell\": \"201 ± 5\", \"bbox\": [134, 155, 164, 164]}, {\"cell\": \"229 ± 12\", \"bbox\": [209, 155, 242, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 155, 315, 164]}, {\"cell\": \"265 ± 10\", \"bbox\": [355, 155, 389, 164]}, {\"cell\": \"307 ± 23\", \"bbox\": [428, 155, 462, 164]}, {\"cell\": \"Minute volume (au g<sup>−1</sup> min<sup>−1</sup>)\", \"bbox\": [6, 164, 108, 175]}, {\"cell\": \"Pre\", \"bbox\": [10, 176, 22, 185]}, {\"cell\": \"1.0 ± 0.1\", \"bbox\": [64, 176, 98, 185]}, {\"cell\": \"0.9 ± 0.1\", \"bbox\": [136, 176, 170, 185]}, {\"cell\": \"1.9 ± 0.2\", \"bbox\": [211, 176, 245, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 176, 317, 185]}, {\"cell\": \"2.9 ± 0.1\", \"bbox\": [357, 176, 391, 185]}, {\"cell\": \"3.0 ± 0.4\", \"bbox\": [430, 176, 464, 185]}, {\"cell\": \"Post\", \"bbox\": [10, 186, 25, 195]}, {\"cell\": \"0.8 ± 0.2\", \"bbox\": [64, 186, 98, 195]}, {\"cell\": \"1.0 ± 0.1\", \"bbox\": [136, 186, 170, 195]}, {\"cell\": \"1.7 ± 0.3\", \"bbox\": [211, 186, 245, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 186, 317, 195]}, {\"cell\": \"2.9 ± 0.3\", \"bbox\": [357, 186, 391, 195]}, {\"cell\": \"4.7 ± 0.9\", \"bbox\": [430, 186, 464, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4985541_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}613{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Adjusted HR*</b></td><td><b>(95% CI)*</b></td><td><b><i>P</i>*</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1.099</td><td>0.364–3.318</td><td>0.867</td></tr><tr><td>[EMPTY_CELL]</td><td>3.887</td><td>1.861–8.122</td><td>0.000</td></tr><tr><td>[EMPTY_CELL]</td><td>8.622</td><td>1.403–52.999</td><td>0.020</td></tr><tr><td>[EMPTY_CELL]</td><td>3.566</td><td>0.610–20.836</td><td>0.158</td></tr><tr><td>[EMPTY_CELL]</td><td>3.471</td><td>1.628–7.401</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>1.572</td><td>0.667–3.703</td><td>0.301</td></tr><tr><td>[EMPTY_CELL]</td><td>2.549</td><td>1.264–5.138</td><td>0.009</td></tr><tr><td>[EMPTY_CELL]</td><td>0.265</td><td>0.134–0.524</td><td>0.000</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [5, 5, 47, 15]}, {\"cell\": \"<b>Adjusted HR*</b>\", \"bbox\": [236, 5, 299, 15]}, {\"cell\": \"<b>(95% CI)*</b>\", \"bbox\": [315, 5, 362, 15]}, {\"cell\": \"<b><i>P</i>*</b>\", \"bbox\": [439, 5, 452, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 16, 138, 31]}, {\"cell\": \"1.099\", \"bbox\": [236, 16, 260, 31]}, {\"cell\": \"0.364–3.318\", \"bbox\": [315, 16, 367, 31]}, {\"cell\": \"0.867\", \"bbox\": [439, 16, 464, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 34, 142, 49]}, {\"cell\": \"3.887\", \"bbox\": [236, 34, 260, 49]}, {\"cell\": \"1.861–8.122\", \"bbox\": [315, 34, 367, 49]}, {\"cell\": \"0.000\", \"bbox\": [439, 34, 464, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 52, 133, 67]}, {\"cell\": \"8.622\", \"bbox\": [236, 52, 260, 67]}, {\"cell\": \"1.403–52.999\", \"bbox\": [315, 52, 372, 67]}, {\"cell\": \"0.020\", \"bbox\": [439, 52, 464, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 67, 147, 82]}, {\"cell\": \"3.566\", \"bbox\": [236, 67, 260, 82]}, {\"cell\": \"0.610–20.836\", \"bbox\": [315, 67, 372, 82]}, {\"cell\": \"0.158\", \"bbox\": [439, 67, 464, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 82, 147, 97]}, {\"cell\": \"3.471\", \"bbox\": [236, 82, 260, 97]}, {\"cell\": \"1.628–7.401\", \"bbox\": [315, 82, 367, 97]}, {\"cell\": \"0.001\", \"bbox\": [439, 82, 464, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 97, 138, 112]}, {\"cell\": \"1.572\", \"bbox\": [236, 97, 260, 112]}, {\"cell\": \"0.667–3.703\", \"bbox\": [315, 97, 367, 112]}, {\"cell\": \"0.301\", \"bbox\": [439, 97, 464, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 112, 138, 127]}, {\"cell\": \"2.549\", \"bbox\": [236, 112, 260, 127]}, {\"cell\": \"1.264–5.138\", \"bbox\": [315, 112, 367, 127]}, {\"cell\": \"0.009\", \"bbox\": [439, 112, 464, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 127, 150, 142]}, {\"cell\": \"0.265\", \"bbox\": [235, 127, 260, 142]}, {\"cell\": \"0.134–0.524\", \"bbox\": [315, 127, 367, 142]}, {\"cell\": \"0.000\", \"bbox\": [439, 127, 464, 142]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5369979_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}614{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Primer</b></td><td><b>Sequence (5'-3')</b></td><td><b>TNCL RNA segment</b></td><td><b>Position on viral genome*</b></td><td><b>Direction</b></td></tr></thead><tbody><tr><td>Noda-R1-190F</td><td>gggaaccgagttacacgcgcattgc</td><td>1</td><td>190..214</td><td>[EMPTY_CELL]</td></tr><tr><td>Noda-R1-636R</td><td>ggtgaatggtgagtcagcatc</td><td>1</td><td>616..636</td><td>[EMPTY_CELL]</td></tr><tr><td>Noda-R1-1093F</td><td>caatctgtcaacgctaggcttatcgg</td><td>1</td><td>1093..1188</td><td>[EMPTY_CELL]</td></tr><tr><td>Noda-R1-1531R</td><td>ccgccctaagttgtagttgttgggacgg</td><td>1</td><td>1504..1531</td><td>[EMPTY_CELL]</td></tr><tr><td>Noda-R1-2368F</td><td>tgtaccgatgcgcttactccgttgatatcgg</td><td>1</td><td>2368..2398</td><td>[EMPTY_CELL]</td></tr><tr><td>Noda-R1-2933R</td><td>ccacgctgggtttctccagcagtgatgttacc</td><td>1</td><td>2902..2933</td><td>[EMPTY_CELL]</td></tr><tr><td>Noda-R2-269F</td><td>ggaatacctgatagatttgaaggcaaag</td><td>2</td><td>269..296</td><td>[EMPTY_CELL]</td></tr><tr><td>Noda-R2-810R</td><td>ggcaatgtttggataccctccaatatgtcg</td><td>2</td><td>781..810</td><td>[EMPTY_CELL]</td></tr><tr><td>Noda-D4</td><td>acatccagatccgatcaagt</td><td>2</td><td>491..510</td><td>[EMPTY_CELL]</td></tr><tr><td>Noda-U4</td><td>gccaggaatgttgcttgcaa</td><td>2</td><td>1161..1180</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Primer</b></td><td><b>Sequence (5'-3')</b></td><td><b><i>gp64</i></b></td><td><b>Position*</b></td><td>[EMPTY_CELL]</td></tr><tr><td>C-177Fs</td><td>attttggacgctgagggc</td><td>[EMPTY_CELL]</td><td>109139..109156</td><td>[EMPTY_CELL]</td></tr><tr><td>L-330Rs</td><td>cttgttgatgtgcgcatgcatcagctc</td><td>[EMPTY_CELL]</td><td>108731..108757</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Primer</b>\", \"bbox\": [11, 3, 37, 13]}, {\"cell\": \"<b>Sequence (5'-3')</b>\", \"bbox\": [89, 3, 147, 13]}, {\"cell\": \"<b>TNCL RNA segment</b>\", \"bbox\": [235, 3, 305, 13]}, {\"cell\": \"<b>Position on viral genome*</b>\", \"bbox\": [331, 3, 391, 23]}, {\"cell\": \"<b>Direction</b>\", \"bbox\": [435, 3, 470, 13]}, {\"cell\": \"Noda-R1-190F\", \"bbox\": [11, 39, 60, 49]}, {\"cell\": \"gggaaccgagttacacgcgcattgc\", \"bbox\": [89, 39, 186, 49]}, {\"cell\": \"1\", \"bbox\": [271, 39, 277, 49]}, {\"cell\": \"190..214\", \"bbox\": [331, 39, 361, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 39, 458, 49]}, {\"cell\": \"Noda-R1-636R\", \"bbox\": [11, 53, 61, 63]}, {\"cell\": \"ggtgaatggtgagtcagcatc\", \"bbox\": [89, 53, 170, 63]}, {\"cell\": \"1\", \"bbox\": [271, 53, 277, 63]}, {\"cell\": \"616..636\", \"bbox\": [331, 53, 361, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 53, 458, 63]}, {\"cell\": \"Noda-R1-1093F\", \"bbox\": [11, 67, 64, 77]}, {\"cell\": \"caatctgtcaacgctaggcttatcgg\", \"bbox\": [89, 67, 185, 77]}, {\"cell\": \"1\", \"bbox\": [271, 67, 277, 77]}, {\"cell\": \"1093..1188\", \"bbox\": [331, 67, 369, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 67, 458, 77]}, {\"cell\": \"Noda-R1-1531R\", \"bbox\": [11, 81, 65, 91]}, {\"cell\": \"ccgccctaagttgtagttgttgggacgg\", \"bbox\": [89, 81, 194, 91]}, {\"cell\": \"1\", \"bbox\": [271, 81, 277, 91]}, {\"cell\": \"1504..1531\", \"bbox\": [331, 81, 369, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 81, 458, 91]}, {\"cell\": \"Noda-R1-2368F\", \"bbox\": [11, 95, 64, 105]}, {\"cell\": \"tgtaccgatgcgcttactccgttgatatcgg\", \"bbox\": [89, 95, 201, 105]}, {\"cell\": \"1\", \"bbox\": [271, 95, 277, 105]}, {\"cell\": \"2368..2398\", \"bbox\": [331, 95, 369, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 95, 458, 105]}, {\"cell\": \"Noda-R1-2933R\", \"bbox\": [11, 109, 65, 119]}, {\"cell\": \"ccacgctgggtttctccagcagtgatgttacc\", \"bbox\": [89, 109, 206, 119]}, {\"cell\": \"1\", \"bbox\": [271, 109, 277, 119]}, {\"cell\": \"2902..2933\", \"bbox\": [331, 109, 369, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 109, 458, 119]}, {\"cell\": \"Noda-R2-269F\", \"bbox\": [11, 123, 60, 133]}, {\"cell\": \"ggaatacctgatagatttgaaggcaaag\", \"bbox\": [89, 123, 196, 133]}, {\"cell\": \"2\", \"bbox\": [271, 123, 277, 133]}, {\"cell\": \"269..296\", \"bbox\": [331, 123, 361, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 123, 458, 133]}, {\"cell\": \"Noda-R2-810R\", \"bbox\": [11, 137, 61, 147]}, {\"cell\": \"ggcaatgtttggataccctccaatatgtcg\", \"bbox\": [89, 137, 198, 147]}, {\"cell\": \"2\", \"bbox\": [271, 137, 277, 147]}, {\"cell\": \"781..810\", \"bbox\": [331, 137, 361, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 137, 458, 147]}, {\"cell\": \"Noda-D4\", \"bbox\": [11, 151, 42, 161]}, {\"cell\": \"acatccagatccgatcaagt\", \"bbox\": [89, 151, 164, 161]}, {\"cell\": \"2\", \"bbox\": [271, 151, 277, 161]}, {\"cell\": \"491..510\", \"bbox\": [331, 151, 361, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 151, 458, 161]}, {\"cell\": \"Noda-U4\", \"bbox\": [11, 165, 42, 175]}, {\"cell\": \"gccaggaatgttgcttgcaa\", \"bbox\": [89, 165, 165, 175]}, {\"cell\": \"2\", \"bbox\": [271, 165, 277, 175]}, {\"cell\": \"1161..1180\", \"bbox\": [331, 165, 369, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 165, 458, 175]}, {\"cell\": \"<b>Primer</b>\", \"bbox\": [11, 191, 37, 201]}, {\"cell\": \"<b>Sequence (5'-3')</b>\", \"bbox\": [89, 191, 147, 201]}, {\"cell\": \"<b><i>gp64</i></b>\", \"bbox\": [264, 191, 284, 201]}, {\"cell\": \"<b>Position*</b>\", \"bbox\": [331, 191, 366, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [438, 191, 472, 201]}, {\"cell\": \"C-177Fs\", \"bbox\": [11, 217, 39, 227]}, {\"cell\": \"attttggacgctgagggc\", \"bbox\": [89, 217, 158, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"109139..109156\", \"bbox\": [331, 217, 385, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 217, 458, 227]}, {\"cell\": \"L-330Rs\", \"bbox\": [11, 231, 39, 241]}, {\"cell\": \"cttgttgatgtgcgcatgcatcagctc\", \"bbox\": [89, 231, 187, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"108731..108757\", \"bbox\": [331, 231, 385, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 231, 458, 241]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2906426_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}615{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Stationary sampling</b></td><td rowspan=\\\"2\\\"><b><i>n</i></b></td><td colspan=\\\"5\\\"><b>Trichloramine (μg m<sup>−3</sup>)</b></td></tr><tr><td><b>AM</b></td><td><b>SD</b></td><td><b>GM</b></td><td><b>GSD</b></td><td><b>Range</b></td></tr></thead><tbody><tr><td>Reception</td><td>15</td><td>[EMPTY_CELL]</td><td>10</td><td>4</td><td>3</td><td><1–40</td></tr><tr><td>Exercise pool</td><td>39</td><td>[EMPTY_CELL]</td><td>76</td><td>140</td><td>2</td><td>50–400</td></tr><tr><td>Training pool</td><td>10</td><td>[EMPTY_CELL]</td><td>61</td><td>170</td><td>1</td><td>100–290</td></tr><tr><td>Whirlpool</td><td>7</td><td>[EMPTY_CELL]</td><td>120</td><td>360</td><td>1</td><td>250–540</td></tr><tr><td>Leisure pool</td><td>4</td><td>[EMPTY_CELL]</td><td>21</td><td>270</td><td>1</td><td>240–300</td></tr><tr><td>Swimming school</td><td>17</td><td>[EMPTY_CELL]</td><td>90</td><td>170</td><td>2</td><td>69–400</td></tr><tr><td>Baby swimming</td><td>7</td><td>[EMPTY_CELL]</td><td>130</td><td>160</td><td>2</td><td>88–460</td></tr><tr><td>Aquaerobic</td><td>4</td><td>[EMPTY_CELL]</td><td>190</td><td>350</td><td>2</td><td>180–640</td></tr><tr><td>Practice for swimming clubs</td><td>5</td><td>[EMPTY_CELL]</td><td>88</td><td>270</td><td>1</td><td>160–400</td></tr><tr><td>Attendant office in basement</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Gym</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Total</td><td>110</td><td>[EMPTY_CELL]</td><td>130</td><td>100</td><td>4</td><td><1–640</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Stationary sampling</b>\", \"bbox\": [1, 4, 81, 19]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [147, 6, 154, 15]}, {\"cell\": \"<b>Trichloramine (μg m<sup>−3</sup>)</b>\", \"bbox\": [279, 4, 372, 19]}, {\"cell\": \"<b>AM</b>\", \"bbox\": [216, 22, 233, 33]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [264, 22, 279, 33]}, {\"cell\": \"<b>GM</b>\", \"bbox\": [310, 22, 327, 33]}, {\"cell\": \"<b>GSD</b>\", \"bbox\": [350, 22, 371, 33]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [398, 21, 425, 35]}, {\"cell\": \"Reception\", \"bbox\": [1, 45, 41, 57]}, {\"cell\": \"15\", \"bbox\": [148, 45, 160, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 45, 233, 57]}, {\"cell\": \"10\", \"bbox\": [268, 45, 279, 57]}, {\"cell\": \"4\", \"bbox\": [319, 45, 326, 57]}, {\"cell\": \"3\", \"bbox\": [357, 45, 364, 57]}, {\"cell\": \"<1–40\", \"bbox\": [401, 45, 428, 57]}, {\"cell\": \"Exercise pool\", \"bbox\": [1, 62, 53, 74]}, {\"cell\": \"39\", \"bbox\": [148, 62, 160, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 62, 233, 74]}, {\"cell\": \"76\", \"bbox\": [268, 62, 279, 74]}, {\"cell\": \"140\", \"bbox\": [309, 62, 326, 74]}, {\"cell\": \"2\", \"bbox\": [357, 62, 364, 74]}, {\"cell\": \"50–400\", \"bbox\": [402, 62, 433, 74]}, {\"cell\": \"Training pool\", \"bbox\": [1, 79, 53, 91]}, {\"cell\": \"10\", \"bbox\": [148, 79, 160, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 79, 233, 91]}, {\"cell\": \"61\", \"bbox\": [268, 79, 279, 91]}, {\"cell\": \"170\", \"bbox\": [309, 79, 326, 91]}, {\"cell\": \"1\", \"bbox\": [357, 79, 364, 91]}, {\"cell\": \"100–290\", \"bbox\": [397, 79, 433, 91]}, {\"cell\": \"Whirlpool\", \"bbox\": [1, 96, 42, 108]}, {\"cell\": \"7\", \"bbox\": [153, 96, 160, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 96, 233, 108]}, {\"cell\": \"120\", \"bbox\": [263, 96, 279, 108]}, {\"cell\": \"360\", \"bbox\": [309, 96, 326, 108]}, {\"cell\": \"1\", \"bbox\": [357, 96, 364, 108]}, {\"cell\": \"250–540\", \"bbox\": [397, 96, 433, 108]}, {\"cell\": \"Leisure pool\", \"bbox\": [1, 113, 49, 125]}, {\"cell\": \"4\", \"bbox\": [153, 113, 160, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 113, 233, 125]}, {\"cell\": \"21\", \"bbox\": [268, 113, 279, 125]}, {\"cell\": \"270\", \"bbox\": [309, 113, 326, 125]}, {\"cell\": \"1\", \"bbox\": [357, 113, 364, 125]}, {\"cell\": \"240–300\", \"bbox\": [397, 113, 433, 125]}, {\"cell\": \"Swimming school\", \"bbox\": [1, 130, 69, 142]}, {\"cell\": \"17\", \"bbox\": [148, 130, 159, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 130, 233, 142]}, {\"cell\": \"90\", \"bbox\": [268, 130, 279, 142]}, {\"cell\": \"170\", \"bbox\": [309, 130, 326, 142]}, {\"cell\": \"2\", \"bbox\": [357, 130, 364, 142]}, {\"cell\": \"69–400\", \"bbox\": [402, 130, 433, 142]}, {\"cell\": \"Baby swimming\", \"bbox\": [1, 147, 62, 159]}, {\"cell\": \"7\", \"bbox\": [153, 147, 159, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 147, 233, 159]}, {\"cell\": \"130\", \"bbox\": [263, 147, 279, 159]}, {\"cell\": \"160\", \"bbox\": [309, 147, 326, 159]}, {\"cell\": \"2\", \"bbox\": [357, 147, 364, 159]}, {\"cell\": \"88–460\", \"bbox\": [402, 147, 433, 159]}, {\"cell\": \"Aquaerobic\", \"bbox\": [1, 164, 46, 176]}, {\"cell\": \"4\", \"bbox\": [153, 164, 159, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 164, 233, 176]}, {\"cell\": \"190\", \"bbox\": [263, 164, 279, 176]}, {\"cell\": \"350\", \"bbox\": [309, 164, 326, 176]}, {\"cell\": \"2\", \"bbox\": [357, 164, 364, 176]}, {\"cell\": \"180–640\", \"bbox\": [397, 164, 433, 176]}, {\"cell\": \"Practice for swimming clubs\", \"bbox\": [1, 181, 108, 193]}, {\"cell\": \"5\", \"bbox\": [153, 181, 159, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 181, 233, 193]}, {\"cell\": \"88\", \"bbox\": [268, 181, 279, 193]}, {\"cell\": \"270\", \"bbox\": [309, 181, 326, 193]}, {\"cell\": \"1\", \"bbox\": [357, 181, 364, 193]}, {\"cell\": \"160–400\", \"bbox\": [397, 181, 433, 193]}, {\"cell\": \"Attendant office in basement\", \"bbox\": [1, 198, 110, 210]}, {\"cell\": \"1\", \"bbox\": [153, 198, 159, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [221, 198, 233, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gym\", \"bbox\": [1, 215, 21, 227]}, {\"cell\": \"1\", \"bbox\": [153, 215, 159, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 215, 233, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total\", \"bbox\": [1, 232, 22, 244]}, {\"cell\": \"110\", \"bbox\": [143, 232, 159, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [216, 232, 233, 244]}, {\"cell\": \"130\", \"bbox\": [263, 232, 279, 244]}, {\"cell\": \"100\", \"bbox\": [309, 232, 326, 244]}, {\"cell\": \"4\", \"bbox\": [357, 232, 364, 244]}, {\"cell\": \"<1–640\", \"bbox\": [401, 232, 432, 244]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4593183_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}616{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Deaths per 1,000 patient years <i>(95% confidence Interval)</i></b></td></tr></thead><tbody><tr><td>Decade</td><td>All deaths</td><td>Iron overload deaths</td><td>Deaths other causes</td><td>Patient years</td><td>[EMPTY_CELL]</td><td>Iron overload deaths</td><td>Deaths other causes</td></tr><tr><td>Before 1960</td><td>6</td><td>0</td><td>6</td><td>263</td><td>[EMPTY_CELL]</td><td>0.0 <i>(0.0,14.0)</i></td><td>22.8 <i>(8.4,49.7</i>)</td></tr><tr><td>1960–69</td><td>22</td><td>1</td><td>21</td><td>1,296</td><td>[EMPTY_CELL]</td><td>0.8 <i>(0.0, 4.3)</i></td><td>16.2 <i>(10.0,24.8)</i></td></tr><tr><td>1970–79</td><td>37</td><td>21</td><td>16</td><td>2,871</td><td>[EMPTY_CELL]</td><td>7.3 <i>(4.5,11.1)</i></td><td>5.6 <i>(3.2,9.1)</i></td></tr><tr><td>1980–89</td><td>56</td><td>37</td><td>19</td><td>4,706</td><td>[EMPTY_CELL]</td><td>7.9 <i>(5.5,10.8)</i></td><td>4.0 <i>(2.4,6.3)</i></td></tr><tr><td>1990–99</td><td>74</td><td>46</td><td>28</td><td>5,836</td><td>[EMPTY_CELL]</td><td>7.9 <i>(5.8,10.5)</i></td><td>4.8 <i>(3.2,6.9)</i></td></tr><tr><td>2000–2003</td><td>11</td><td>6</td><td>5</td><td>2,584</td><td>[EMPTY_CELL]</td><td>2.3 <i>(0.9,5.1)</i><b><i>*</i></b></td><td>1.9 <i>(0.6,4.5)</i></td></tr><tr><td>TOTAL</td><td>206</td><td>111</td><td>95</td><td>17,556</td><td>[EMPTY_CELL]</td><td>6.3 <i>(5.2,7.6)</i></td><td>5.4 <i>(4.4,6.6)</i></td></tr><tr><td>1980–99</td><td>130</td><td>83</td><td>47</td><td>10,542</td><td>[EMPTY_CELL]</td><td>7.9 <i>(6.3,9.8)</i></td><td>4.5 <i>(3.3,5.9)</i></td></tr><tr><td>2000–03</td><td>11</td><td>6</td><td>5</td><td>2,584</td><td>[EMPTY_CELL]</td><td>2.3 <i>(0.9,5.1)</i><b><i>*</i></b></td><td>1.9 <i>(0.6,4.5)</i></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Deaths per 1,000 patient years <i>(95% confidence Interval)</i></b>\", \"bbox\": [295, 4, 481, 14]}, {\"cell\": \"Decade\", \"bbox\": [4, 27, 32, 36]}, {\"cell\": \"All deaths\", \"bbox\": [54, 27, 89, 36]}, {\"cell\": \"Iron overload deaths\", \"bbox\": [95, 27, 142, 46]}, {\"cell\": \"Deaths other causes\", \"bbox\": [169, 27, 216, 46]}, {\"cell\": \"Patient years\", \"bbox\": [244, 27, 289, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 27, 330, 36]}, {\"cell\": \"Iron overload deaths\", \"bbox\": [355, 27, 402, 46]}, {\"cell\": \"Deaths other causes\", \"bbox\": [429, 27, 476, 46]}, {\"cell\": \"Before 1960\", \"bbox\": [4, 58, 48, 68]}, {\"cell\": \"6\", \"bbox\": [54, 58, 60, 68]}, {\"cell\": \"0\", \"bbox\": [95, 58, 101, 68]}, {\"cell\": \"6\", \"bbox\": [169, 58, 175, 68]}, {\"cell\": \"263\", \"bbox\": [244, 58, 258, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 58, 344, 68]}, {\"cell\": \"0.0 <i>(0.0,14.0)</i>\", \"bbox\": [355, 58, 400, 68]}, {\"cell\": \"22.8 <i>(8.4,49.7</i>)\", \"bbox\": [429, 58, 479, 68]}, {\"cell\": \"1960–69\", \"bbox\": [4, 68, 35, 78]}, {\"cell\": \"22\", \"bbox\": [54, 68, 64, 78]}, {\"cell\": \"1\", \"bbox\": [95, 68, 101, 78]}, {\"cell\": \"21\", \"bbox\": [169, 68, 180, 78]}, {\"cell\": \"1,296\", \"bbox\": [244, 68, 264, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 68, 348, 78]}, {\"cell\": \"0.8 <i>(0.0, 4.3)</i>\", \"bbox\": [354, 68, 398, 78]}, {\"cell\": \"16.2 <i>(10.0,24.8)</i>\", \"bbox\": [429, 68, 483, 78]}, {\"cell\": \"1970–79\", \"bbox\": [4, 79, 35, 88]}, {\"cell\": \"37\", \"bbox\": [54, 79, 64, 88]}, {\"cell\": \"21\", \"bbox\": [95, 79, 105, 88]}, {\"cell\": \"16\", \"bbox\": [169, 79, 180, 88]}, {\"cell\": \"2,871\", \"bbox\": [244, 79, 264, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 79, 344, 88]}, {\"cell\": \"7.3 <i>(4.5,11.1)</i>\", \"bbox\": [354, 79, 400, 88]}, {\"cell\": \"5.6 <i>(3.2,9.1)</i>\", \"bbox\": [429, 79, 470, 88]}, {\"cell\": \"1980–89\", \"bbox\": [4, 89, 35, 99]}, {\"cell\": \"56\", \"bbox\": [54, 89, 64, 99]}, {\"cell\": \"37\", \"bbox\": [95, 89, 105, 99]}, {\"cell\": \"19\", \"bbox\": [169, 89, 180, 99]}, {\"cell\": \"4,706\", \"bbox\": [244, 89, 264, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 89, 344, 99]}, {\"cell\": \"7.9 <i>(5.5,10.8)</i>\", \"bbox\": [354, 89, 400, 99]}, {\"cell\": \"4.0 <i>(2.4,6.3)</i>\", \"bbox\": [429, 89, 470, 99]}, {\"cell\": \"1990–99\", \"bbox\": [4, 99, 35, 109]}, {\"cell\": \"74\", \"bbox\": [54, 99, 64, 109]}, {\"cell\": \"46\", \"bbox\": [95, 99, 105, 109]}, {\"cell\": \"28\", \"bbox\": [169, 99, 180, 109]}, {\"cell\": \"5,836\", \"bbox\": [244, 99, 264, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 99, 348, 109]}, {\"cell\": \"7.9 <i>(5.8,10.5)</i>\", \"bbox\": [354, 99, 400, 109]}, {\"cell\": \"4.8 <i>(3.2,6.9)</i>\", \"bbox\": [429, 99, 470, 109]}, {\"cell\": \"2000–2003\", \"bbox\": [4, 109, 43, 119]}, {\"cell\": \"11\", \"bbox\": [54, 109, 64, 119]}, {\"cell\": \"6\", \"bbox\": [95, 109, 101, 119]}, {\"cell\": \"5\", \"bbox\": [169, 109, 175, 119]}, {\"cell\": \"2,584\", \"bbox\": [244, 109, 264, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 109, 336, 119]}, {\"cell\": \"2.3 <i>(0.9,5.1)</i><b><i>*</i></b>\", \"bbox\": [354, 109, 400, 119]}, {\"cell\": \"1.9 <i>(0.6,4.5)</i>\", \"bbox\": [429, 109, 470, 119]}, {\"cell\": \"TOTAL\", \"bbox\": [4, 132, 33, 141]}, {\"cell\": \"206\", \"bbox\": [54, 132, 68, 141]}, {\"cell\": \"111\", \"bbox\": [95, 132, 109, 141]}, {\"cell\": \"95\", \"bbox\": [169, 132, 180, 141]}, {\"cell\": \"17,556\", \"bbox\": [244, 132, 268, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 132, 348, 141]}, {\"cell\": \"6.3 <i>(5.2,7.6)</i>\", \"bbox\": [355, 132, 396, 141]}, {\"cell\": \"5.4 <i>(4.4,6.6)</i>\", \"bbox\": [429, 132, 470, 141]}, {\"cell\": \"1980–99\", \"bbox\": [4, 154, 35, 164]}, {\"cell\": \"130\", \"bbox\": [54, 154, 68, 164]}, {\"cell\": \"83\", \"bbox\": [95, 154, 105, 164]}, {\"cell\": \"47\", \"bbox\": [169, 154, 180, 164]}, {\"cell\": \"10,542\", \"bbox\": [244, 154, 268, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 154, 348, 164]}, {\"cell\": \"7.9 <i>(6.3,9.8)</i>\", \"bbox\": [355, 154, 396, 164]}, {\"cell\": \"4.5 <i>(3.3,5.9)</i>\", \"bbox\": [429, 154, 470, 164]}, {\"cell\": \"2000–03\", \"bbox\": [4, 164, 35, 174]}, {\"cell\": \"11\", \"bbox\": [54, 164, 64, 174]}, {\"cell\": \"6\", \"bbox\": [95, 164, 101, 174]}, {\"cell\": \"5\", \"bbox\": [169, 164, 175, 174]}, {\"cell\": \"2,584\", \"bbox\": [244, 164, 264, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 164, 336, 174]}, {\"cell\": \"2.3 <i>(0.9,5.1)</i><b><i>*</i></b>\", \"bbox\": [354, 164, 400, 174]}, {\"cell\": \"1.9 <i>(0.6,4.5)</i>\", \"bbox\": [429, 164, 470, 174]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2563008_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}617{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Dataset</b></td><td><b># genes</b></td><td><b># taxa</b></td><td><b>ILS level (AD%)</b></td><td><b># sites</b></td><td><b>ref.</b></td></tr></thead><tbody><tr><td>Avian very high ILS (0.5X)</td><td>[EMPTY_CELL]</td><td>48</td><td>60 (VH)</td><td>500</td><td>[22]</td></tr><tr><td>Avian high ILS (1X)</td><td>[EMPTY_CELL]</td><td>48</td><td>47 (H)</td><td>250-1500</td><td>[22]</td></tr><tr><td>Avian moderate (2X)</td><td>[EMPTY_CELL]</td><td>48</td><td>29 (M)</td><td>500</td><td>[22]</td></tr><tr><td>Mammalian high ILS (0.5X)</td><td>[EMPTY_CELL]</td><td>37</td><td>50 (H)</td><td>250-1000</td><td>[22]</td></tr><tr><td>Mammalian moderate ILS (1X)</td><td>[EMPTY_CELL]</td><td>37</td><td>29 (M)</td><td>250-1000</td><td>[22]</td></tr><tr><td>Mammalian low ILS (2X)</td><td>[EMPTY_CELL]</td><td>37</td><td>21 (L)</td><td>250-1000</td><td>[22]</td></tr><tr><td>10-taxon very high ILS</td><td>[EMPTY_CELL]</td><td>10</td><td>89(VH)</td><td>100</td><td>[23]</td></tr><tr><td>10-taxon high ILS</td><td>[EMPTY_CELL]</td><td>10</td><td>48 (H)</td><td>100</td><td>[23]</td></tr><tr><td>15-taxon clocklike</td><td>[EMPTY_CELL]</td><td>15</td><td>82 (VH)</td><td>100-1000</td><td>[23]</td></tr><tr><td>ASTRAL-2 500K-1e6 (MC1)</td><td>[EMPTY_CELL]</td><td>200</td><td>69 (VH)</td><td>300-1500</td><td>[8]</td></tr><tr><td>ASTRAL-2 2M-1e6 (MC2)</td><td>[EMPTY_CELL]</td><td>200</td><td>33 (M)</td><td>300-1500</td><td>[8]</td></tr><tr><td>ASTRAL-2 10M-1e6 (MC3)</td><td>[EMPTY_CELL]</td><td>200</td><td>21 (L)</td><td>300-1500</td><td>[8]</td></tr><tr><td>ASTRAL-2 500K-1e7 (MC4)</td><td>[EMPTY_CELL]</td><td>200</td><td>68 (VH)</td><td>300-1500</td><td>[8]</td></tr><tr><td>ASTRAL-2 2M-1e7 (MC5)</td><td>[EMPTY_CELL]</td><td>200</td><td>34 (M)</td><td>300-1500</td><td>[8]</td></tr><tr><td>ASTRAL-2 10M-1e7 (MC6)</td><td>[EMPTY_CELL]</td><td>200</td><td>9 (L)</td><td>300-1500</td><td>[8]</td></tr><tr><td>ASTRAL-2 2M-1e6 (MC7)</td><td>[EMPTY_CELL]</td><td>10</td><td>17 (L)</td><td>300-1500</td><td>[8]</td></tr><tr><td>ASTRAL-2 2M-1e6 (MC8)</td><td>[EMPTY_CELL]</td><td>50</td><td>30 (M)</td><td>300-1500</td><td>[8]</td></tr><tr><td>ASTRAL-2 2M-1e6 (MC9)</td><td>[EMPTY_CELL]</td><td>100</td><td>34 (M)</td><td>300-1500</td><td>[8]</td></tr><tr><td>ASTRAL-2 2M-1e6 (MC10)</td><td>[EMPTY_CELL]</td><td>500</td><td>34 (M)</td><td>300-1500</td><td>[8]</td></tr><tr><td>ASTRAL-2 2M-1e6 (MC11)</td><td>[EMPTY_CELL]</td><td>1000</td><td>35 (M)</td><td>300-1500</td><td>[8]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Dataset</b>\", \"bbox\": [54, 4, 82, 13]}, {\"cell\": \"<b># genes</b>\", \"bbox\": [157, 4, 186, 13]}, {\"cell\": \"<b># taxa</b>\", \"bbox\": [225, 4, 249, 13]}, {\"cell\": \"<b>ILS level (AD%)</b>\", \"bbox\": [288, 4, 343, 13]}, {\"cell\": \"<b># sites</b>\", \"bbox\": [386, 4, 410, 13]}, {\"cell\": \"<b>ref.</b>\", \"bbox\": [453, 4, 466, 13]}, {\"cell\": \"Avian very high ILS (0.5X)\", \"bbox\": [26, 17, 110, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 17, 180, 27]}, {\"cell\": \"48\", \"bbox\": [232, 17, 242, 27]}, {\"cell\": \"60 (VH)\", \"bbox\": [303, 17, 328, 27]}, {\"cell\": \"500\", \"bbox\": [391, 17, 405, 27]}, {\"cell\": \"[22]\", \"bbox\": [453, 17, 467, 27]}, {\"cell\": \"Avian high ILS (1X)\", \"bbox\": [36, 29, 99, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 29, 180, 39]}, {\"cell\": \"48\", \"bbox\": [232, 29, 242, 39]}, {\"cell\": \"47 (H)\", \"bbox\": [305, 29, 326, 39]}, {\"cell\": \"250-1500\", \"bbox\": [383, 29, 414, 39]}, {\"cell\": \"[22]\", \"bbox\": [453, 29, 467, 39]}, {\"cell\": \"Avian moderate (2X)\", \"bbox\": [34, 41, 102, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 41, 180, 51]}, {\"cell\": \"48\", \"bbox\": [232, 41, 242, 51]}, {\"cell\": \"29 (M)\", \"bbox\": [304, 41, 327, 51]}, {\"cell\": \"500\", \"bbox\": [391, 41, 405, 51]}, {\"cell\": \"[22]\", \"bbox\": [453, 41, 467, 51]}, {\"cell\": \"Mammalian high ILS (0.5X)\", \"bbox\": [24, 54, 112, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 54, 178, 64]}, {\"cell\": \"37\", \"bbox\": [232, 54, 242, 64]}, {\"cell\": \"50 (H)\", \"bbox\": [305, 54, 326, 64]}, {\"cell\": \"250-1000\", \"bbox\": [383, 54, 414, 64]}, {\"cell\": \"[22]\", \"bbox\": [453, 54, 467, 64]}, {\"cell\": \"Mammalian moderate ILS (1X)\", \"bbox\": [18, 66, 117, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 66, 178, 76]}, {\"cell\": \"37\", \"bbox\": [232, 66, 242, 76]}, {\"cell\": \"29 (M)\", \"bbox\": [304, 66, 327, 76]}, {\"cell\": \"250-1000\", \"bbox\": [383, 66, 414, 76]}, {\"cell\": \"[22]\", \"bbox\": [453, 66, 467, 76]}, {\"cell\": \"Mammalian low ILS (2X)\", \"bbox\": [28, 78, 108, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 78, 178, 88]}, {\"cell\": \"37\", \"bbox\": [232, 78, 242, 88]}, {\"cell\": \"21 (L)\", \"bbox\": [306, 78, 326, 88]}, {\"cell\": \"250-1000\", \"bbox\": [383, 78, 414, 88]}, {\"cell\": \"[22]\", \"bbox\": [453, 78, 467, 88]}, {\"cell\": \"10-taxon very high ILS\", \"bbox\": [31, 92, 105, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 92, 178, 101]}, {\"cell\": \"10\", \"bbox\": [232, 92, 242, 101]}, {\"cell\": \"89(VH)\", \"bbox\": [304, 92, 327, 101]}, {\"cell\": \"100\", \"bbox\": [391, 92, 405, 101]}, {\"cell\": \"[23]\", \"bbox\": [453, 92, 467, 101]}, {\"cell\": \"10-taxon high ILS\", \"bbox\": [39, 103, 97, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 103, 178, 113]}, {\"cell\": \"10\", \"bbox\": [232, 103, 242, 113]}, {\"cell\": \"48 (H)\", \"bbox\": [305, 103, 326, 113]}, {\"cell\": \"100\", \"bbox\": [391, 103, 405, 113]}, {\"cell\": \"[23]\", \"bbox\": [453, 103, 467, 113]}, {\"cell\": \"15-taxon clocklike\", \"bbox\": [38, 117, 97, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 117, 180, 126]}, {\"cell\": \"15\", \"bbox\": [232, 117, 242, 126]}, {\"cell\": \"82 (VH)\", \"bbox\": [303, 117, 328, 126]}, {\"cell\": \"100-1000\", \"bbox\": [383, 117, 414, 126]}, {\"cell\": \"[23]\", \"bbox\": [453, 117, 467, 126]}, {\"cell\": \"ASTRAL-2 500K-1e6 (MC1)\", \"bbox\": [25, 130, 110, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 130, 180, 139]}, {\"cell\": \"200\", \"bbox\": [230, 130, 244, 139]}, {\"cell\": \"69 (VH)\", \"bbox\": [303, 130, 328, 139]}, {\"cell\": \"300-1500\", \"bbox\": [383, 130, 414, 139]}, {\"cell\": \"[8]\", \"bbox\": [455, 130, 465, 139]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC2)\", \"bbox\": [28, 142, 108, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 142, 180, 151]}, {\"cell\": \"200\", \"bbox\": [230, 142, 244, 151]}, {\"cell\": \"33 (M)\", \"bbox\": [304, 142, 327, 151]}, {\"cell\": \"300-1500\", \"bbox\": [383, 142, 414, 151]}, {\"cell\": \"[8]\", \"bbox\": [455, 142, 465, 151]}, {\"cell\": \"ASTRAL-2 10M-1e6 (MC3)\", \"bbox\": [26, 154, 110, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 154, 180, 163]}, {\"cell\": \"200\", \"bbox\": [230, 154, 244, 163]}, {\"cell\": \"21 (L)\", \"bbox\": [306, 154, 326, 163]}, {\"cell\": \"300-1500\", \"bbox\": [383, 154, 414, 163]}, {\"cell\": \"[8]\", \"bbox\": [455, 154, 465, 163]}, {\"cell\": \"ASTRAL-2 500K-1e7 (MC4)\", \"bbox\": [25, 166, 110, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 166, 180, 175]}, {\"cell\": \"200\", \"bbox\": [230, 166, 244, 175]}, {\"cell\": \"68 (VH)\", \"bbox\": [303, 166, 328, 175]}, {\"cell\": \"300-1500\", \"bbox\": [383, 166, 414, 175]}, {\"cell\": \"[8]\", \"bbox\": [455, 166, 465, 175]}, {\"cell\": \"ASTRAL-2 2M-1e7 (MC5)\", \"bbox\": [28, 178, 108, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 178, 180, 187]}, {\"cell\": \"200\", \"bbox\": [230, 178, 244, 187]}, {\"cell\": \"34 (M)\", \"bbox\": [304, 178, 327, 187]}, {\"cell\": \"300-1500\", \"bbox\": [383, 178, 414, 187]}, {\"cell\": \"[8]\", \"bbox\": [455, 178, 465, 187]}, {\"cell\": \"ASTRAL-2 10M-1e7 (MC6)\", \"bbox\": [26, 190, 110, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 190, 180, 199]}, {\"cell\": \"200\", \"bbox\": [230, 190, 244, 199]}, {\"cell\": \"9 (L)\", \"bbox\": [308, 190, 324, 199]}, {\"cell\": \"300-1500\", \"bbox\": [383, 190, 414, 199]}, {\"cell\": \"[8]\", \"bbox\": [455, 190, 465, 199]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC7)\", \"bbox\": [28, 202, 108, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 202, 180, 211]}, {\"cell\": \"10\", \"bbox\": [232, 202, 242, 211]}, {\"cell\": \"17 (L)\", \"bbox\": [306, 202, 326, 211]}, {\"cell\": \"300-1500\", \"bbox\": [383, 202, 414, 211]}, {\"cell\": \"[8]\", \"bbox\": [455, 202, 465, 211]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC8)\", \"bbox\": [28, 214, 108, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 214, 180, 223]}, {\"cell\": \"50\", \"bbox\": [232, 214, 242, 223]}, {\"cell\": \"30 (M)\", \"bbox\": [304, 214, 327, 223]}, {\"cell\": \"300-1500\", \"bbox\": [383, 214, 414, 223]}, {\"cell\": \"[8]\", \"bbox\": [455, 214, 465, 223]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC9)\", \"bbox\": [28, 225, 108, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 225, 180, 235]}, {\"cell\": \"100\", \"bbox\": [230, 225, 244, 235]}, {\"cell\": \"34 (M)\", \"bbox\": [304, 225, 327, 235]}, {\"cell\": \"300-1500\", \"bbox\": [383, 225, 414, 235]}, {\"cell\": \"[8]\", \"bbox\": [455, 225, 465, 235]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC10)\", \"bbox\": [26, 237, 110, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 237, 180, 247]}, {\"cell\": \"500\", \"bbox\": [230, 237, 244, 247]}, {\"cell\": \"34 (M)\", \"bbox\": [304, 237, 327, 247]}, {\"cell\": \"300-1500\", \"bbox\": [383, 237, 414, 247]}, {\"cell\": \"[8]\", \"bbox\": [455, 237, 465, 247]}, {\"cell\": \"ASTRAL-2 2M-1e6 (MC11)\", \"bbox\": [26, 249, 110, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [163, 249, 180, 259]}, {\"cell\": \"1000\", \"bbox\": [228, 249, 246, 259]}, {\"cell\": \"35 (M)\", \"bbox\": [304, 249, 327, 259]}, {\"cell\": \"300-1500\", \"bbox\": [383, 249, 414, 259]}, {\"cell\": \"[8]\", \"bbox\": [455, 249, 465, 259]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4602181_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}618{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Study</b></td><td colspan=\\\"3\\\"><b>Study 1</b></td><td><b>Study 2</b></td></tr><tr><td><b>Cohort</b></td><td><b>Cohort 1<sup>1</sup></b></td><td><b>Cohort 2<sup>2</sup></b></td><td><b>Cohort 3<sup>3</sup></b></td><td><b>Cohort 1<sup>4</sup></b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Number of subjects:</td></tr><tr><td>Number of subjects planned, N:</td><td>8</td><td>8</td><td>[EMPTY_CELL]</td><td>12</td></tr><tr><td>Number of subjects randomized, N:</td><td>11</td><td>8</td><td>[EMPTY_CELL]</td><td>12</td></tr><tr><td>Number of subjects completed as planned, n (%):</td><td>8 (73)</td><td>7 (88)</td><td>[EMPTY_CELL]</td><td>12 (100)</td></tr><tr><td>Number of subjects withdrawn (any reason), n (%):</td><td>3 (27)</td><td>1 (13)</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td>Withdrawn due to adverse events, n (%)</td><td>1 (9)</td><td>1 (13)</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td>Withdrawn due to other reasons, n (%)</td><td>2 (18)</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td colspan=\\\"5\\\">Demographics</td></tr><tr><td>Age in years (mean (SD))</td><td>29.0 (8.66)</td><td>32.6 (10.03)</td><td>[EMPTY_CELL]</td><td>30.4 (8.34)</td></tr><tr><td colspan=\\\"5\\\">Sex (n (%))</td></tr><tr><td>Female</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td>Male</td><td>11 (100)</td><td>8 (100)</td><td>[EMPTY_CELL]</td><td>12 (100)</td></tr><tr><td>BMI (kg/m<sup>2</sup>) (mean (SD))</td><td>24.08 (1.585)</td><td>23.03 (0.829)</td><td>[EMPTY_CELL]</td><td>25.70 (2.884)</td></tr><tr><td>Height (cm) (mean (SD))</td><td>178.6 (6.52)</td><td>176.1 (5.06)</td><td>[EMPTY_CELL]</td><td>178.8 (7.63)</td></tr><tr><td>Weight (kg) (mean (SD))</td><td>77.05 (8.938)</td><td>71.41 (4.105)</td><td>[EMPTY_CELL]</td><td>82.33 (11.235)</td></tr><tr><td colspan=\\\"5\\\">Ethnicity (n (%))</td></tr><tr><td> Hispanic or Latino</td><td>1 (9)</td><td>0</td><td>[EMPTY_CELL]</td><td>3 (25)</td></tr><tr><td> Not Hispanic or Latino</td><td>10 (91)</td><td>8 (100)</td><td>[EMPTY_CELL]</td><td>9 (75)</td></tr><tr><td colspan=\\\"5\\\">Race (n (%))</td></tr><tr><td> African American/African Heritage</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>1 (8)</td></tr><tr><td> Asian – South East Asian Heritage</td><td>0</td><td>1 (13)</td><td>[EMPTY_CELL]</td><td>1 (8)</td></tr><tr><td> White – White/Caucasian/European Heritage</td><td>10 (91)</td><td>7 (88)</td><td>[EMPTY_CELL]</td><td>10 (84)</td></tr><tr><td> White – mixed race</td><td>1 (9)</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td> Mixed race</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study</b>\", \"bbox\": [3, 3, 26, 13]}, {\"cell\": \"<b>Study 1</b>\", \"bbox\": [286, 3, 315, 13]}, {\"cell\": \"<b>Study 2</b>\", \"bbox\": [417, 3, 446, 13]}, {\"cell\": \"<b>Cohort</b>\", \"bbox\": [3, 15, 29, 24]}, {\"cell\": \"<b>Cohort 1<sup>1</sup></b>\", \"bbox\": [219, 14, 255, 24]}, {\"cell\": \"<b>Cohort 2<sup>2</sup></b>\", \"bbox\": [278, 14, 314, 24]}, {\"cell\": \"<b>Cohort 3<sup>3</sup></b>\", \"bbox\": [342, 14, 378, 24]}, {\"cell\": \"<b>Cohort 1<sup>4</sup></b>\", \"bbox\": [413, 14, 449, 24]}, {\"cell\": \"Number of subjects:\", \"bbox\": [3, 26, 77, 36]}, {\"cell\": \"Number of subjects planned, N:\", \"bbox\": [3, 38, 117, 47]}, {\"cell\": \"8\", \"bbox\": [234, 38, 240, 47]}, {\"cell\": \"8\", \"bbox\": [293, 38, 299, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 38, 363, 47]}, {\"cell\": \"12\", \"bbox\": [426, 38, 437, 47]}, {\"cell\": \"Number of subjects randomized, N:\", \"bbox\": [3, 49, 131, 59]}, {\"cell\": \"11\", \"bbox\": [232, 49, 242, 59]}, {\"cell\": \"8\", \"bbox\": [293, 49, 299, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 49, 363, 59]}, {\"cell\": \"12\", \"bbox\": [426, 49, 437, 59]}, {\"cell\": \"Number of subjects completed as planned, n (%):\", \"bbox\": [3, 61, 181, 70]}, {\"cell\": \"8 (73)\", \"bbox\": [225, 61, 248, 70]}, {\"cell\": \"7 (88)\", \"bbox\": [285, 61, 308, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [346, 61, 373, 70]}, {\"cell\": \"12 (100)\", \"bbox\": [415, 61, 447, 70]}, {\"cell\": \"Number of subjects withdrawn (any reason), n (%):\", \"bbox\": [3, 72, 185, 82]}, {\"cell\": \"3 (27)\", \"bbox\": [225, 72, 248, 82]}, {\"cell\": \"1 (13)\", \"bbox\": [285, 72, 308, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 72, 363, 82]}, {\"cell\": \"0\", \"bbox\": [428, 72, 434, 82]}, {\"cell\": \"Withdrawn due to adverse events, n (%)\", \"bbox\": [3, 84, 148, 93]}, {\"cell\": \"1 (9)\", \"bbox\": [228, 84, 246, 93]}, {\"cell\": \"1 (13)\", \"bbox\": [285, 84, 308, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 84, 363, 93]}, {\"cell\": \"0\", \"bbox\": [428, 84, 434, 93]}, {\"cell\": \"Withdrawn due to other reasons, n (%)\", \"bbox\": [3, 95, 142, 105]}, {\"cell\": \"2 (18)\", \"bbox\": [225, 95, 248, 105]}, {\"cell\": \"0\", \"bbox\": [293, 95, 299, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 95, 363, 105]}, {\"cell\": \"0\", \"bbox\": [428, 95, 434, 105]}, {\"cell\": \"Demographics\", \"bbox\": [3, 107, 57, 116]}, {\"cell\": \"Age in years (mean (SD))\", \"bbox\": [3, 118, 96, 128]}, {\"cell\": \"29.0 (8.66)\", \"bbox\": [217, 118, 257, 128]}, {\"cell\": \"32.6 (10.03)\", \"bbox\": [274, 118, 319, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 118, 380, 128]}, {\"cell\": \"30.4 (8.34)\", \"bbox\": [411, 118, 452, 128]}, {\"cell\": \"Sex (n (%))\", \"bbox\": [3, 130, 46, 139]}, {\"cell\": \"Female\", \"bbox\": [11, 141, 40, 151]}, {\"cell\": \"0\", \"bbox\": [234, 141, 240, 151]}, {\"cell\": \"0\", \"bbox\": [293, 141, 299, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 141, 363, 151]}, {\"cell\": \"0\", \"bbox\": [428, 141, 434, 151]}, {\"cell\": \"Male\", \"bbox\": [11, 153, 31, 162]}, {\"cell\": \"11 (100)\", \"bbox\": [221, 153, 252, 162]}, {\"cell\": \"8 (100)\", \"bbox\": [282, 153, 310, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [346, 153, 373, 162]}, {\"cell\": \"12 (100)\", \"bbox\": [415, 153, 447, 162]}, {\"cell\": \"BMI (kg/m<sup>2</sup>) (mean (SD))\", \"bbox\": [3, 163, 94, 174]}, {\"cell\": \"24.08 (1.585)\", \"bbox\": [212, 164, 262, 174]}, {\"cell\": \"23.03 (0.829)\", \"bbox\": [271, 164, 321, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 164, 385, 174]}, {\"cell\": \"25.70 (2.884)\", \"bbox\": [406, 164, 456, 174]}, {\"cell\": \"Height (cm) (mean (SD))\", \"bbox\": [3, 176, 93, 185]}, {\"cell\": \"178.6 (6.52)\", \"bbox\": [214, 176, 259, 185]}, {\"cell\": \"176.1 (5.06)\", \"bbox\": [274, 176, 319, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 176, 382, 185]}, {\"cell\": \"178.8 (7.63)\", \"bbox\": [409, 176, 454, 185]}, {\"cell\": \"Weight (kg) (mean (SD))\", \"bbox\": [3, 187, 92, 197]}, {\"cell\": \"77.05 (8.938)\", \"bbox\": [212, 187, 262, 197]}, {\"cell\": \"71.41 (4.105)\", \"bbox\": [271, 187, 321, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 187, 387, 197]}, {\"cell\": \"82.33 (11.235)\", \"bbox\": [404, 187, 458, 197]}, {\"cell\": \"Ethnicity (n (%))\", \"bbox\": [3, 199, 62, 208]}, {\"cell\": \" Hispanic or Latino\", \"bbox\": [11, 210, 77, 220]}, {\"cell\": \"1 (9)\", \"bbox\": [228, 210, 246, 220]}, {\"cell\": \"0\", \"bbox\": [293, 210, 299, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 210, 371, 220]}, {\"cell\": \"3 (25)\", \"bbox\": [420, 210, 443, 220]}, {\"cell\": \" Not Hispanic or Latino\", \"bbox\": [11, 222, 92, 231]}, {\"cell\": \"10 (91)\", \"bbox\": [223, 222, 251, 231]}, {\"cell\": \"8 (100)\", \"bbox\": [282, 222, 310, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 222, 371, 231]}, {\"cell\": \"9 (75)\", \"bbox\": [420, 222, 443, 231]}, {\"cell\": \"Race (n (%))\", \"bbox\": [3, 233, 51, 243]}, {\"cell\": \" African American/African Heritage\", \"bbox\": [11, 245, 133, 254]}, {\"cell\": \"0\", \"bbox\": [234, 245, 240, 254]}, {\"cell\": \"0\", \"bbox\": [293, 245, 299, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 245, 363, 254]}, {\"cell\": \"1 (8)\", \"bbox\": [422, 245, 440, 254]}, {\"cell\": \" Asian – South East Asian Heritage\", \"bbox\": [11, 256, 135, 266]}, {\"cell\": \"0\", \"bbox\": [234, 256, 240, 266]}, {\"cell\": \"1 (13)\", \"bbox\": [285, 256, 308, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 256, 363, 266]}, {\"cell\": \"1 (8)\", \"bbox\": [422, 256, 440, 266]}, {\"cell\": \" White – White/Caucasian/European Heritage\", \"bbox\": [11, 268, 173, 277]}, {\"cell\": \"10 (91)\", \"bbox\": [223, 268, 251, 277]}, {\"cell\": \"7 (88)\", \"bbox\": [285, 268, 308, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 268, 371, 277]}, {\"cell\": \"10 (84)\", \"bbox\": [417, 268, 445, 277]}, {\"cell\": \" White – mixed race\", \"bbox\": [11, 279, 82, 289]}, {\"cell\": \"1 (9)\", \"bbox\": [228, 279, 246, 289]}, {\"cell\": \"0\", \"bbox\": [293, 279, 299, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 279, 363, 289]}, {\"cell\": \"0\", \"bbox\": [428, 279, 434, 289]}, {\"cell\": \" Mixed race\", \"bbox\": [11, 291, 53, 300]}, {\"cell\": \"0\", \"bbox\": [234, 291, 240, 300]}, {\"cell\": \"0\", \"bbox\": [293, 291, 299, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 291, 371, 300]}, {\"cell\": \"0\", \"bbox\": [428, 291, 434, 300]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5299597_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}619{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Non-SDB</b></td><td colspan=\\\"4\\\"><b>SDB</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Dimension</b></td><td><b>M</b></td><td><b>SD</b></td><td><b>M</b></td><td><b>SD</b></td><td><b>ΔM</b></td><td><b>CI</b></td></tr></thead><tbody><tr><td rowspan=\\\"7\\\">1</td><td>Total face height (pg-men)</td><td>93.50</td><td>5.63</td><td>93.75</td><td>5.56</td><td>[EMPTY_CELL]</td><td>(−0.61 to 0.11)</td></tr><tr><td>Total face height (pg-g)</td><td>113.46</td><td>6.12</td><td>113.80</td><td>6.10</td><td>0.33</td><td>[EMPTY_CELL]</td></tr><tr><td>Total face height (pg-n)</td><td>101.46</td><td>6.17</td><td>101.85</td><td>6.22</td><td>0.39</td><td>[EMPTY_CELL]</td></tr><tr><td>Lower face height (Is-pg)</td><td>36.54</td><td>3.52</td><td>36.83</td><td>3.60</td><td>0.28</td><td>[EMPTY_CELL]</td></tr><tr><td>Total face height (li-men)</td><td>74.73</td><td>4.69</td><td>74.97</td><td>4.74</td><td>0.24</td><td>[EMPTY_CELL]</td></tr><tr><td>Mid-face height (Is-men)</td><td>61.69</td><td>4.00</td><td>61.66</td><td>3.96</td><td>0.03</td><td>[EMPTY_CELL]</td></tr><tr><td>Mid-face angle (exR-pg-exL)</td><td>49.67</td><td>2.60</td><td>49.41</td><td>2.68</td><td>0.26</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">2</td><td>Outer eyes distance (exR-exL)</td><td>87.68</td><td>3.91</td><td>87.33</td><td>4.11</td><td>[EMPTY_CELL]</td><td>(−0.08 to 0.60)</td></tr><tr><td>Inner eyes distance (enL-enR)</td><td>34.31</td><td>2.86</td><td>34.16</td><td>2.91</td><td>0.14</td><td>[EMPTY_CELL]</td></tr><tr><td>Nose width (alL-alR)</td><td>33.64</td><td>2.70</td><td>33.50</td><td>2.72</td><td>0.72</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">3</td><td>Nose prominence (prn-sn)</td><td>19.79</td><td>1.87</td><td>19.66</td><td>1.87</td><td>[EMPTY_CELL]</td><td>(0.00 to 0.24)</td></tr><tr><td>Mid-face height (n-sn)</td><td>52.34</td><td>3.82</td><td>52.34</td><td>3.84</td><td>0.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Mid-face height (sn-men)</td><td>48.30</td><td>3.49</td><td>48.11</td><td>3.41</td><td>0.18</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">4</td><td>Maxilla angle (n-sn-pg)</td><td>162.45</td><td>5.69</td><td>162.32</td><td>5.63</td><td>[EMPTY_CELL]</td><td>(−0.23 to 0.50)</td></tr><tr><td>Philtrum angle (prn-sn-Is)</td><td>127.12</td><td>8.78</td><td>127.35</td><td>8.85</td><td>0.22</td><td>[EMPTY_CELL]</td></tr><tr><td>Nose angle (n-prn-sn)</td><td>100.56</td><td>4.57</td><td>100.88</td><td>4.76</td><td>0.31</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>Mandible angle(g-men-pg)</td><td>133.42</td><td>6.72</td><td>134.29</td><td>6.60</td><td>[EMPTY_CELL]</td><td>(−1.30 to −0.42)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Non-SDB</b>\", \"bbox\": [183, 5, 225, 14]}, {\"cell\": \"<b>SDB</b>\", \"bbox\": [285, 5, 306, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Dimension</b>\", \"bbox\": [34, 18, 82, 27]}, {\"cell\": \"<b>M</b>\", \"bbox\": [183, 18, 193, 27]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [239, 18, 254, 27]}, {\"cell\": \"<b>M</b>\", \"bbox\": [286, 18, 295, 27]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [342, 18, 356, 27]}, {\"cell\": \"<b>ΔM</b>\", \"bbox\": [388, 18, 402, 27]}, {\"cell\": \"<b>CI</b>\", \"bbox\": [434, 18, 445, 27]}, {\"cell\": \"1\", \"bbox\": [1, 33, 7, 44]}, {\"cell\": \"Total face height (pg-men)\", \"bbox\": [34, 33, 142, 44]}, {\"cell\": \"93.50\", \"bbox\": [188, 33, 213, 44]}, {\"cell\": \"5.63\", \"bbox\": [239, 33, 259, 44]}, {\"cell\": \"93.75\", \"bbox\": [290, 33, 315, 44]}, {\"cell\": \"5.56\", \"bbox\": [342, 33, 361, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 33, 407, 44]}, {\"cell\": \"(−0.61 to 0.11)\", \"bbox\": [434, 33, 495, 44]}, {\"cell\": \"Total face height (pg-g)\", \"bbox\": [34, 44, 130, 55]}, {\"cell\": \"113.46\", \"bbox\": [183, 44, 213, 55]}, {\"cell\": \"6.12\", \"bbox\": [239, 44, 259, 55]}, {\"cell\": \"113.80\", \"bbox\": [286, 44, 315, 55]}, {\"cell\": \"6.10\", \"bbox\": [342, 44, 361, 55]}, {\"cell\": \"0.33\", \"bbox\": [388, 44, 407, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 44, 495, 55]}, {\"cell\": \"Total face height (pg-n)\", \"bbox\": [34, 55, 130, 66]}, {\"cell\": \"101.46\", \"bbox\": [183, 55, 213, 66]}, {\"cell\": \"6.17\", \"bbox\": [239, 55, 259, 66]}, {\"cell\": \"101.85\", \"bbox\": [286, 55, 315, 66]}, {\"cell\": \"6.22\", \"bbox\": [342, 55, 361, 66]}, {\"cell\": \"0.39\", \"bbox\": [388, 55, 407, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 55, 495, 66]}, {\"cell\": \"Lower face height (Is-pg)\", \"bbox\": [34, 66, 135, 77]}, {\"cell\": \"36.54\", \"bbox\": [188, 66, 213, 77]}, {\"cell\": \"3.52\", \"bbox\": [239, 66, 259, 77]}, {\"cell\": \"36.83\", \"bbox\": [290, 66, 315, 77]}, {\"cell\": \"3.60\", \"bbox\": [342, 66, 361, 77]}, {\"cell\": \"0.28\", \"bbox\": [388, 66, 407, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 66, 501, 77]}, {\"cell\": \"Total face height (li-men)\", \"bbox\": [34, 77, 135, 88]}, {\"cell\": \"74.73\", \"bbox\": [188, 77, 213, 88]}, {\"cell\": \"4.69\", \"bbox\": [239, 77, 259, 88]}, {\"cell\": \"74.97\", \"bbox\": [290, 77, 315, 88]}, {\"cell\": \"4.74\", \"bbox\": [342, 77, 361, 88]}, {\"cell\": \"0.24\", \"bbox\": [388, 77, 407, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 77, 495, 88]}, {\"cell\": \"Mid-face height (Is-men)\", \"bbox\": [34, 88, 133, 99]}, {\"cell\": \"61.69\", \"bbox\": [188, 88, 213, 99]}, {\"cell\": \"4.00\", \"bbox\": [239, 88, 259, 99]}, {\"cell\": \"61.66\", \"bbox\": [290, 88, 315, 99]}, {\"cell\": \"3.96\", \"bbox\": [342, 88, 361, 99]}, {\"cell\": \"0.03\", \"bbox\": [388, 88, 407, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 88, 495, 99]}, {\"cell\": \"Mid-face angle (exR-pg-exL)\", \"bbox\": [34, 99, 149, 110]}, {\"cell\": \"49.67\", \"bbox\": [188, 99, 213, 110]}, {\"cell\": \"2.60\", \"bbox\": [239, 99, 259, 110]}, {\"cell\": \"49.41\", \"bbox\": [290, 99, 315, 110]}, {\"cell\": \"2.68\", \"bbox\": [342, 99, 361, 110]}, {\"cell\": \"0.26\", \"bbox\": [388, 99, 407, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 99, 495, 110]}, {\"cell\": \"2\", \"bbox\": [1, 110, 7, 121]}, {\"cell\": \"Outer eyes distance (exR-exL)\", \"bbox\": [34, 110, 157, 121]}, {\"cell\": \"87.68\", \"bbox\": [188, 110, 213, 121]}, {\"cell\": \"3.91\", \"bbox\": [239, 110, 259, 121]}, {\"cell\": \"87.33\", \"bbox\": [290, 110, 315, 121]}, {\"cell\": \"4.11\", \"bbox\": [342, 110, 361, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 110, 407, 121]}, {\"cell\": \"(−0.08 to 0.60)\", \"bbox\": [434, 110, 495, 121]}, {\"cell\": \"Inner eyes distance (enL-enR)\", \"bbox\": [34, 121, 156, 132]}, {\"cell\": \"34.31\", \"bbox\": [188, 121, 213, 132]}, {\"cell\": \"2.86\", \"bbox\": [239, 121, 259, 132]}, {\"cell\": \"34.16\", \"bbox\": [290, 121, 315, 132]}, {\"cell\": \"2.91\", \"bbox\": [342, 121, 361, 132]}, {\"cell\": \"0.14\", \"bbox\": [388, 121, 407, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 121, 495, 132]}, {\"cell\": \"Nose width (alL-alR)\", \"bbox\": [34, 132, 117, 143]}, {\"cell\": \"33.64\", \"bbox\": [188, 132, 213, 143]}, {\"cell\": \"2.70\", \"bbox\": [239, 132, 259, 143]}, {\"cell\": \"33.50\", \"bbox\": [290, 132, 315, 143]}, {\"cell\": \"2.72\", \"bbox\": [342, 132, 361, 143]}, {\"cell\": \"0.72\", \"bbox\": [388, 132, 407, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 132, 501, 143]}, {\"cell\": \"3\", \"bbox\": [1, 143, 7, 154]}, {\"cell\": \"Nose prominence (prn-sn)\", \"bbox\": [34, 143, 141, 154]}, {\"cell\": \"19.79\", \"bbox\": [188, 143, 213, 154]}, {\"cell\": \"1.87\", \"bbox\": [239, 143, 259, 154]}, {\"cell\": \"19.66\", \"bbox\": [290, 143, 315, 154]}, {\"cell\": \"1.87\", \"bbox\": [342, 143, 361, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 143, 407, 154]}, {\"cell\": \"(0.00 to 0.24)\", \"bbox\": [434, 143, 489, 154]}, {\"cell\": \"Mid-face height (n-sn)\", \"bbox\": [34, 154, 123, 165]}, {\"cell\": \"52.34\", \"bbox\": [188, 154, 213, 165]}, {\"cell\": \"3.82\", \"bbox\": [239, 154, 259, 165]}, {\"cell\": \"52.34\", \"bbox\": [290, 154, 315, 165]}, {\"cell\": \"3.84\", \"bbox\": [342, 154, 361, 165]}, {\"cell\": \"0.00\", \"bbox\": [388, 154, 407, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 154, 495, 165]}, {\"cell\": \"Mid-face height (sn-men)\", \"bbox\": [34, 165, 136, 176]}, {\"cell\": \"48.30\", \"bbox\": [188, 165, 213, 176]}, {\"cell\": \"3.49\", \"bbox\": [239, 165, 259, 176]}, {\"cell\": \"48.11\", \"bbox\": [290, 165, 315, 176]}, {\"cell\": \"3.41\", \"bbox\": [342, 165, 361, 176]}, {\"cell\": \"0.18\", \"bbox\": [388, 165, 407, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 165, 495, 176]}, {\"cell\": \"4\", \"bbox\": [0, 176, 7, 187]}, {\"cell\": \"Maxilla angle (n-sn-pg)\", \"bbox\": [34, 176, 127, 187]}, {\"cell\": \"162.45\", \"bbox\": [183, 176, 213, 187]}, {\"cell\": \"5.69\", \"bbox\": [239, 176, 259, 187]}, {\"cell\": \"162.32\", \"bbox\": [285, 176, 315, 187]}, {\"cell\": \"5.63\", \"bbox\": [342, 176, 361, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 176, 407, 187]}, {\"cell\": \"(−0.23 to 0.50)\", \"bbox\": [434, 176, 495, 187]}, {\"cell\": \"Philtrum angle (prn-sn-Is)\", \"bbox\": [34, 187, 138, 198]}, {\"cell\": \"127.12\", \"bbox\": [183, 187, 213, 198]}, {\"cell\": \"8.78\", \"bbox\": [239, 187, 259, 198]}, {\"cell\": \"127.35\", \"bbox\": [285, 187, 315, 198]}, {\"cell\": \"8.85\", \"bbox\": [342, 187, 361, 198]}, {\"cell\": \"0.22\", \"bbox\": [388, 187, 407, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 187, 495, 198]}, {\"cell\": \"Nose angle (n-prn-sn)\", \"bbox\": [34, 198, 123, 209]}, {\"cell\": \"100.56\", \"bbox\": [183, 198, 213, 209]}, {\"cell\": \"4.57\", \"bbox\": [239, 198, 259, 209]}, {\"cell\": \"100.88\", \"bbox\": [285, 198, 315, 209]}, {\"cell\": \"4.76\", \"bbox\": [342, 198, 361, 209]}, {\"cell\": \"0.31\", \"bbox\": [388, 198, 407, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 198, 501, 209]}, {\"cell\": \"5\", \"bbox\": [0, 209, 7, 220]}, {\"cell\": \"Mandible angle(g-men-pg)\", \"bbox\": [34, 209, 141, 220]}, {\"cell\": \"133.42\", \"bbox\": [183, 209, 213, 220]}, {\"cell\": \"6.72\", \"bbox\": [239, 209, 259, 220]}, {\"cell\": \"134.29\", \"bbox\": [285, 209, 315, 220]}, {\"cell\": \"6.60\", \"bbox\": [342, 209, 361, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 209, 407, 220]}, {\"cell\": \"(−1.30 to −0.42)\", \"bbox\": [434, 209, 501, 220]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4563226_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}620{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Total</b></td><td colspan=\\\"3\\\"><b>Male</b></td><td colspan=\\\"3\\\"><b>Female</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Inpatients, (n = 759)</b></td><td><b>Outpatients, (n = 427)</b></td><td><b><i>P </i>value</b></td><td><b>Inpatients, (n = 355)</b></td><td><b>Outpatients, (n = 215)</b></td><td><b><i>P </i>value</b></td><td><b>Inpatients, (n = 404)</b></td><td><b>Outpatients, (n = 212)</b></td><td><b><i>P </i>value</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>59.9 ± 12.9</td><td>45.6 ± 13.6</td><td>[EMPTY_CELL]</td><td>58.3 ± 13.1</td><td>45.2 ± 13.5</td><td>< 0.001</td><td>61.4 ± 12.5</td><td>46.0 ± 13.7</td><td>< 0.001</td></tr><tr><td>Height (cm)</td><td>158.3 ± 9.8</td><td>162.6 ± 9.9</td><td>[EMPTY_CELL]</td><td>165.1 ± 7.2</td><td>168.5 ± 6.6</td><td>< 0.001</td><td>152.3 ± 7.7</td><td>156.4 ± 8.9</td><td>< 0.001</td></tr><tr><td>Weight (kg)</td><td>55.7 ± 11.8</td><td>69.3 ± 14.4</td><td>[EMPTY_CELL]</td><td>60.8 ± 11.6</td><td>75.2 ± 11.9</td><td>< 0.001</td><td>51.2 ± 10.1</td><td>63.2 ± 14.2</td><td>< 0.001</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>22.1 ± 4.0</td><td>26.5 ± 11.4</td><td>[EMPTY_CELL]</td><td>22.2 ± 4.0</td><td>26.5 ± 3.9</td><td>< 0.001</td><td>22.0 ± 4.0</td><td>26.6 ± 15.7</td><td>< 0.001</td></tr><tr><td>Waist circumference (cm)</td><td>82.9 ± 10.7</td><td>90.3 ± 12.4</td><td>[EMPTY_CELL]</td><td>82.9 ± 10.3</td><td>92.8 ± 10.7</td><td>< 0.001</td><td>83.0 ± 11.0</td><td>87.5 ± 13.4</td><td>< 0.05</td></tr><tr><td>Systolic BP (mmHg)</td><td>117.8 ± 16.1</td><td>127.9 ± 20.0</td><td>[EMPTY_CELL]</td><td>119.6 ± 16.5</td><td>131.4 ± 19.8</td><td>< 0.001</td><td>116.2 ± 15.5</td><td>124.4 ± 18.8</td><td>< 0.001</td></tr><tr><td>Diastolic BP (mmHg)</td><td>73.3 ± 11.6</td><td>78.7 ± 13.1</td><td>[EMPTY_CELL]</td><td>75.2 ± 12.1</td><td>80.9 ± 12.9</td><td>< 0.001</td><td>71.7 ± 10.8</td><td>76.5 ± 13.0</td><td>< 0.001</td></tr><tr><td>HDL-C (mg/dl)</td><td>55.0 ± 15.3</td><td>53.8 ± 16.1</td><td>[EMPTY_CELL]</td><td>49.8 ± 12.5</td><td>49.3 ± 15.3</td><td>NS</td><td>59.5 ± 16.1</td><td>58.4 ± 15.6</td><td>NS</td></tr><tr><td>Triglyceride (mg/dl)</td><td>96.7 ± 56.5</td><td>167.8 ± 126.1</td><td>[EMPTY_CELL]</td><td>99.1 ± 63.6</td><td>202.3 ± 148.4</td><td>< 0.001</td><td>94.6 ± 49.5</td><td>133.2 ± 86.2</td><td>< 0.001</td></tr><tr><td>Fasting glucose (mg/dl)</td><td>90.6 ± 18.6</td><td>115.7 ± 52.2</td><td>[EMPTY_CELL]</td><td>91.0 ± 20.9</td><td>118.1 ± 53.2</td><td>< 0.001</td><td>90.3 ± 16.3</td><td>113.3 ± 51.2</td><td>< 0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total</b>\", \"bbox\": [86, 4, 105, 13]}, {\"cell\": \"<b>Male</b>\", \"bbox\": [273, 4, 292, 13]}, {\"cell\": \"<b>Female</b>\", \"bbox\": [460, 4, 487, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Inpatients, (n = 759)</b>\", \"bbox\": [86, 17, 141, 35]}, {\"cell\": \"<b>Outpatients, (n = 427)</b>\", \"bbox\": [161, 17, 222, 35]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [242, 18, 263, 35]}, {\"cell\": \"<b>Inpatients, (n = 355)</b>\", \"bbox\": [273, 17, 328, 35]}, {\"cell\": \"<b>Outpatients, (n = 215)</b>\", \"bbox\": [348, 17, 409, 35]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [429, 18, 450, 35]}, {\"cell\": \"<b>Inpatients, (n = 404)</b>\", \"bbox\": [460, 17, 515, 35]}, {\"cell\": \"<b>Outpatients, (n = 212)</b>\", \"bbox\": [535, 17, 596, 35]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [616, 18, 637, 35]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 39, 38, 49]}, {\"cell\": \"59.9 ± 12.9\", \"bbox\": [86, 39, 124, 49]}, {\"cell\": \"45.6 ± 13.6\", \"bbox\": [161, 39, 199, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 39, 268, 49]}, {\"cell\": \"58.3 ± 13.1\", \"bbox\": [273, 39, 311, 49]}, {\"cell\": \"45.2 ± 13.5\", \"bbox\": [348, 39, 386, 49]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 39, 455, 49]}, {\"cell\": \"61.4 ± 12.5\", \"bbox\": [460, 39, 497, 49]}, {\"cell\": \"46.0 ± 13.7\", \"bbox\": [535, 39, 573, 49]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 39, 642, 49]}, {\"cell\": \"Height (cm)\", \"bbox\": [1, 51, 41, 61]}, {\"cell\": \"158.3 ± 9.8\", \"bbox\": [86, 51, 124, 61]}, {\"cell\": \"162.6 ± 9.9\", \"bbox\": [161, 51, 199, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 51, 268, 61]}, {\"cell\": \"165.1 ± 7.2\", \"bbox\": [273, 51, 311, 61]}, {\"cell\": \"168.5 ± 6.6\", \"bbox\": [348, 51, 386, 61]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 51, 455, 61]}, {\"cell\": \"152.3 ± 7.7\", \"bbox\": [460, 51, 498, 61]}, {\"cell\": \"156.4 ± 8.9\", \"bbox\": [535, 51, 573, 61]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 51, 642, 61]}, {\"cell\": \"Weight (kg)\", \"bbox\": [1, 63, 40, 73]}, {\"cell\": \"55.7 ± 11.8\", \"bbox\": [86, 63, 124, 73]}, {\"cell\": \"69.3 ± 14.4\", \"bbox\": [161, 63, 199, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 63, 268, 73]}, {\"cell\": \"60.8 ± 11.6\", \"bbox\": [273, 63, 311, 73]}, {\"cell\": \"75.2 ± 11.9\", \"bbox\": [348, 63, 386, 73]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 63, 455, 73]}, {\"cell\": \"51.2 ± 10.1\", \"bbox\": [460, 63, 497, 73]}, {\"cell\": \"63.2 ± 14.2\", \"bbox\": [535, 63, 573, 73]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 63, 642, 73]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [1, 74, 41, 85]}, {\"cell\": \"22.1 ± 4.0\", \"bbox\": [86, 75, 120, 85]}, {\"cell\": \"26.5 ± 11.4\", \"bbox\": [161, 75, 199, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 75, 268, 85]}, {\"cell\": \"22.2 ± 4.0\", \"bbox\": [273, 75, 307, 85]}, {\"cell\": \"26.5 ± 3.9\", \"bbox\": [348, 75, 382, 85]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 75, 455, 85]}, {\"cell\": \"22.0 ± 4.0\", \"bbox\": [460, 75, 494, 85]}, {\"cell\": \"26.6 ± 15.7\", \"bbox\": [535, 75, 573, 85]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 75, 642, 85]}, {\"cell\": \"Waist circumference (cm)\", \"bbox\": [1, 87, 67, 106]}, {\"cell\": \"82.9 ± 10.7\", \"bbox\": [86, 87, 124, 97]}, {\"cell\": \"90.3 ± 12.4\", \"bbox\": [161, 87, 199, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 87, 268, 97]}, {\"cell\": \"82.9 ± 10.3\", \"bbox\": [273, 87, 311, 97]}, {\"cell\": \"92.8 ± 10.7\", \"bbox\": [348, 87, 386, 97]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 87, 455, 97]}, {\"cell\": \"83.0 ± 11.0\", \"bbox\": [460, 87, 497, 97]}, {\"cell\": \"87.5 ± 13.4\", \"bbox\": [535, 87, 573, 97]}, {\"cell\": \"< 0.05\", \"bbox\": [616, 87, 638, 97]}, {\"cell\": \"Systolic BP (mmHg)\", \"bbox\": [1, 108, 66, 118]}, {\"cell\": \"117.8 ± 16.1\", \"bbox\": [86, 108, 127, 118]}, {\"cell\": \"127.9 ± 20.0\", \"bbox\": [161, 108, 202, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 108, 268, 118]}, {\"cell\": \"119.6 ± 16.5\", \"bbox\": [273, 108, 314, 118]}, {\"cell\": \"131.4 ± 19.8\", \"bbox\": [348, 108, 389, 118]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 108, 455, 118]}, {\"cell\": \"116.2 ± 15.5\", \"bbox\": [460, 108, 501, 118]}, {\"cell\": \"124.4 ± 18.8\", \"bbox\": [535, 108, 576, 118]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 108, 642, 118]}, {\"cell\": \"Diastolic BP (mmHg)\", \"bbox\": [1, 120, 69, 130]}, {\"cell\": \"73.3 ± 11.6\", \"bbox\": [86, 120, 124, 130]}, {\"cell\": \"78.7 ± 13.1\", \"bbox\": [161, 120, 199, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 120, 268, 130]}, {\"cell\": \"75.2 ± 12.1\", \"bbox\": [273, 120, 311, 130]}, {\"cell\": \"80.9 ± 12.9\", \"bbox\": [348, 120, 386, 130]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 120, 455, 130]}, {\"cell\": \"71.7 ± 10.8\", \"bbox\": [460, 120, 497, 130]}, {\"cell\": \"76.5 ± 13.0\", \"bbox\": [535, 120, 573, 130]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 120, 642, 130]}, {\"cell\": \"HDL-C (mg/dl)\", \"bbox\": [1, 132, 49, 142]}, {\"cell\": \"55.0 ± 15.3\", \"bbox\": [86, 132, 124, 142]}, {\"cell\": \"53.8 ± 16.1\", \"bbox\": [161, 132, 199, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 132, 253, 142]}, {\"cell\": \"49.8 ± 12.5\", \"bbox\": [273, 132, 311, 142]}, {\"cell\": \"49.3 ± 15.3\", \"bbox\": [348, 132, 386, 142]}, {\"cell\": \"NS\", \"bbox\": [429, 132, 440, 142]}, {\"cell\": \"59.5 ± 16.1\", \"bbox\": [460, 132, 497, 142]}, {\"cell\": \"58.4 ± 15.6\", \"bbox\": [535, 132, 573, 142]}, {\"cell\": \"NS\", \"bbox\": [616, 132, 627, 142]}, {\"cell\": \"Triglyceride (mg/dl)\", \"bbox\": [0, 144, 65, 153]}, {\"cell\": \"96.7 ± 56.5\", \"bbox\": [86, 144, 124, 153]}, {\"cell\": \"167.8 ± 126.1\", \"bbox\": [161, 144, 206, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 144, 268, 153]}, {\"cell\": \"99.1 ± 63.6\", \"bbox\": [273, 144, 311, 153]}, {\"cell\": \"202.3 ± 148.4\", \"bbox\": [348, 144, 393, 153]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 144, 455, 153]}, {\"cell\": \"94.6 ± 49.5\", \"bbox\": [460, 144, 497, 153]}, {\"cell\": \"133.2 ± 86.2\", \"bbox\": [535, 144, 576, 153]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 144, 642, 153]}, {\"cell\": \"Fasting glucose (mg/dl)\", \"bbox\": [0, 156, 79, 165]}, {\"cell\": \"90.6 ± 18.6\", \"bbox\": [86, 156, 124, 165]}, {\"cell\": \"115.7 ± 52.2\", \"bbox\": [161, 156, 202, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 156, 268, 165]}, {\"cell\": \"91.0 ± 20.9\", \"bbox\": [273, 156, 311, 165]}, {\"cell\": \"118.1 ± 53.2\", \"bbox\": [348, 156, 389, 165]}, {\"cell\": \"< 0.001\", \"bbox\": [429, 156, 455, 165]}, {\"cell\": \"90.3 ± 16.3\", \"bbox\": [460, 156, 497, 165]}, {\"cell\": \"113.3 ± 51.2\", \"bbox\": [535, 156, 576, 165]}, {\"cell\": \"< 0.001\", \"bbox\": [616, 156, 642, 165]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3179440_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}621{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Residents (n = 396)</b></td></tr></thead><tbody><tr><td><b>Age</b> in years; mean (SD)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Women</b> in % (n)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Time being in the SHA</b> in years; mean (SD)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Medical diagnosis of dementia</b> in % (n)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Severity of dementia</b> (GDS) in % (n)</td><td>[EMPTY_CELL]</td></tr><tr><td>≤ 5 (moderately severe cognitive decline)</td><td>[EMPTY_CELL]</td></tr><tr><td>6 (severe cognitive decline)</td><td>[EMPTY_CELL]</td></tr><tr><td>7 (very severe cognitive decline)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Challenging behavior</b> (CMAI) in % (n)</td><td>[EMPTY_CELL]</td></tr><tr><td>Physically nonaggressive behavior</td><td>[EMPTY_CELL]</td></tr><tr><td>Verbally agitated behavior</td><td>[EMPTY_CELL]</td></tr><tr><td>Aggressive behavior</td><td>[EMPTY_CELL]</td></tr><tr><td>At least one need-driven behavior</td><td>[EMPTY_CELL]</td></tr><tr><td><b>With family members</b> in % (n)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Weekly family visits</b> in % (n)*</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Living situation before admission into SHA</b> in % (n)</td><td>[EMPTY_CELL]</td></tr><tr><td>Alone</td><td>[EMPTY_CELL]</td></tr><tr><td>With family member/partner</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Residents (n = 396)</b>\", \"bbox\": [201, 4, 236, 22]}, {\"cell\": \"<b>Age</b> in years; mean (SD)\", \"bbox\": [1, 26, 80, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 26, 235, 36]}, {\"cell\": \"<b>Women</b> in % (n)\", \"bbox\": [1, 40, 56, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 40, 234, 50]}, {\"cell\": \"<b>Time being in the SHA</b> in years; mean (SD)\", \"bbox\": [1, 54, 81, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 54, 228, 64]}, {\"cell\": \"<b>Medical diagnosis of dementia</b> in % (n)\", \"bbox\": [1, 77, 74, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 77, 234, 87]}, {\"cell\": \"<b>Severity of dementia</b> (GDS) in % (n)\", \"bbox\": [1, 100, 75, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤ 5 (moderately severe cognitive decline)\", \"bbox\": [1, 123, 77, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 123, 230, 133]}, {\"cell\": \"6 (severe cognitive decline)\", \"bbox\": [1, 146, 90, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 146, 234, 156]}, {\"cell\": \"7 (very severe cognitive decline)\", \"bbox\": [1, 160, 79, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 160, 234, 170]}, {\"cell\": \"<b>Challenging behavior</b> (CMAI) in % (n)\", \"bbox\": [1, 183, 77, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Physically nonaggressive behavior\", \"bbox\": [1, 206, 81, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 206, 234, 216]}, {\"cell\": \"Verbally agitated behavior\", \"bbox\": [1, 229, 86, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 229, 234, 239]}, {\"cell\": \"Aggressive behavior\", \"bbox\": [1, 243, 67, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 243, 230, 253]}, {\"cell\": \"At least one need-driven behavior\", \"bbox\": [1, 257, 82, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 257, 234, 267]}, {\"cell\": \"<b>With family members</b> in % (n)\", \"bbox\": [1, 280, 77, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 280, 234, 290]}, {\"cell\": \"<b>Weekly family visits</b> in % (n)*\", \"bbox\": [1, 303, 101, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 303, 234, 313]}, {\"cell\": \"<b>Living situation before admission into SHA</b> in % (n)\", \"bbox\": [1, 317, 98, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alone\", \"bbox\": [1, 340, 21, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 340, 234, 350]}, {\"cell\": \"With family member/partner\", \"bbox\": [1, 354, 94, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 354, 234, 364]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4347913_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}622{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Category of significant benefit</b></td><td><b>Classes of significant benefit</b></td><td colspan=\\\"2\\\"><b>Assumptions</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>N = 130</b></td><td><b>%</b></td></tr></thead><tbody><tr><td><b>Improved efficacy</b></td><td>Different mechanism of action</td><td>47</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Sub-group (including patients who do not respond</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>on current treatments)</td><td>27</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Alternative/additional treatment</td><td>14</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Improve the long-term outcome of the patient</td><td>12</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>More effective (unspecified)</td><td>10</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Improve the treatment (unspecified)</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Total</b></td><td><b>111</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Improved safety</b></td><td>Fewer side effects</td><td>5</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Increased tolerability</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Improved safety (unspecified)</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Total</b></td><td><b>9</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Contribution to patient care</b></td><td>Mode of administration</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Wider availability</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Total</b></td><td><b>10</b></td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Category of significant benefit</b>\", \"bbox\": [1, 4, 109, 13]}, {\"cell\": \"<b>Classes of significant benefit</b>\", \"bbox\": [150, 4, 251, 13]}, {\"cell\": \"<b>Assumptions</b>\", \"bbox\": [359, 4, 406, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N = 130</b>\", \"bbox\": [359, 16, 389, 25]}, {\"cell\": \"<b>%</b>\", \"bbox\": [431, 16, 439, 25]}, {\"cell\": \"<b>Improved efficacy</b>\", \"bbox\": [1, 29, 65, 39]}, {\"cell\": \"Different mechanism of action\", \"bbox\": [150, 29, 250, 39]}, {\"cell\": \"47\", \"bbox\": [359, 29, 369, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 29, 445, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sub-group (including patients who do not respond\", \"bbox\": [150, 41, 318, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"on current treatments)\", \"bbox\": [150, 53, 225, 63]}, {\"cell\": \"27\", \"bbox\": [359, 53, 369, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 53, 445, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Alternative/additional treatment\", \"bbox\": [150, 65, 254, 75]}, {\"cell\": \"14\", \"bbox\": [359, 65, 369, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 65, 445, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Improve the long-term outcome of the patient\", \"bbox\": [150, 77, 304, 86]}, {\"cell\": \"12\", \"bbox\": [359, 77, 369, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 77, 442, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"More effective (unspecified)\", \"bbox\": [150, 89, 241, 98]}, {\"cell\": \"10\", \"bbox\": [359, 89, 369, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 89, 442, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Improve the treatment (unspecified)\", \"bbox\": [150, 101, 268, 110]}, {\"cell\": \"1\", \"bbox\": [359, 101, 365, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 101, 442, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total</b>\", \"bbox\": [336, 113, 355, 122]}, {\"cell\": \"<b>111</b>\", \"bbox\": [359, 113, 374, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 113, 447, 122]}, {\"cell\": \"<b>Improved safety</b>\", \"bbox\": [1, 125, 59, 134]}, {\"cell\": \"Fewer side effects\", \"bbox\": [150, 125, 210, 134]}, {\"cell\": \"5\", \"bbox\": [359, 125, 365, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 125, 442, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Increased tolerability\", \"bbox\": [150, 137, 218, 146]}, {\"cell\": \"2\", \"bbox\": [359, 137, 365, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 137, 442, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Improved safety (unspecified)\", \"bbox\": [150, 149, 246, 158]}, {\"cell\": \"2\", \"bbox\": [359, 149, 365, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 149, 442, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total</b>\", \"bbox\": [336, 161, 355, 170]}, {\"cell\": \"<b>9</b>\", \"bbox\": [359, 161, 366, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 161, 443, 170]}, {\"cell\": \"<b>Contribution to patient care</b>\", \"bbox\": [1, 173, 101, 182]}, {\"cell\": \"Mode of administration\", \"bbox\": [150, 173, 227, 182]}, {\"cell\": \"9\", \"bbox\": [359, 173, 365, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 173, 442, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Wider availability\", \"bbox\": [150, 185, 206, 194]}, {\"cell\": \"1\", \"bbox\": [359, 185, 365, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 185, 442, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total</b>\", \"bbox\": [336, 197, 355, 206]}, {\"cell\": \"<b>10</b>\", \"bbox\": [359, 197, 370, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 197, 443, 206]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3185263_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}623{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Trait</b></td><td><b>Unit</b></td><td><b>Biological importance</b></td><td><b><i>n</i></b></td><td><b>AVG</b></td><td><b>SD</b></td><td><b>max</b></td><td><b>min</b></td></tr></thead><tbody><tr><td>Body weight</td><td>kg</td><td>[EMPTY_CELL]</td><td>162</td><td>51</td><td>9.0</td><td>31</td><td>77</td></tr><tr><td>Carcass weight</td><td>kg</td><td>[EMPTY_CELL]</td><td>165</td><td>28</td><td>4.4</td><td>16</td><td>40</td></tr><tr><td>Dressing percentage</td><td>%</td><td>[EMPTY_CELL]</td><td>161</td><td>55</td><td>3</td><td>71</td><td>46</td></tr><tr><td>Total fat</td><td>kg</td><td>[EMPTY_CELL]</td><td>165</td><td>14</td><td>5.6</td><td>4.6</td><td>33</td></tr><tr><td>Carcass fat</td><td>kg</td><td>[EMPTY_CELL]</td><td>165</td><td>8.7</td><td>2.4</td><td>3.5</td><td>18</td></tr><tr><td>Internal fat</td><td>kg</td><td>[EMPTY_CELL]</td><td>165</td><td>3.8</td><td>1.6</td><td>1.1</td><td>8.8</td></tr><tr><td>Percent fat in carcass</td><td>%</td><td>[EMPTY_CELL]</td><td>165</td><td>31</td><td>4</td><td>22</td><td>45</td></tr><tr><td>Subcutaneous fat depth*</td><td>Pixel</td><td>[EMPTY_CELL]</td><td>161</td><td>5.9</td><td>2.3</td><td>1</td><td>13</td></tr><tr><td>Subcutaneous fat area</td><td>mm<sup>2</sup></td><td>[EMPTY_CELL]</td><td>165</td><td>980</td><td>480</td><td>36</td><td>2597</td></tr><tr><td>Total lean</td><td>kg</td><td>[EMPTY_CELL]</td><td>152</td><td>22</td><td>5.61</td><td>12</td><td>32</td></tr><tr><td>Carcass lean</td><td>kg</td><td>[EMPTY_CELL]</td><td>165</td><td>16</td><td>2.34</td><td>10</td><td>22</td></tr><tr><td>Percent lean in carcass</td><td>%</td><td>[EMPTY_CELL]</td><td>165</td><td>59</td><td>3</td><td>48</td><td>67</td></tr><tr><td>Eye muscle area*</td><td>mm<sup>2</sup></td><td>[EMPTY_CELL]</td><td>165</td><td>4205</td><td>502</td><td>1245</td><td>5333</td></tr><tr><td>Total bone</td><td>kg</td><td>[EMPTY_CELL]</td><td>152</td><td>7.4</td><td>4.4</td><td>2.5</td><td>12</td></tr><tr><td>Carcass bone</td><td>kg</td><td>[EMPTY_CELL]</td><td>165</td><td>2.9</td><td>0.34</td><td>1.98</td><td>4.2</td></tr><tr><td>Percent bone in carcass</td><td>%</td><td>[EMPTY_CELL]</td><td>165</td><td>11</td><td>2</td><td>7</td><td>16</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Trait</b>\", \"bbox\": [1, 4, 18, 13]}, {\"cell\": \"<b>Unit</b>\", \"bbox\": [104, 4, 121, 13]}, {\"cell\": \"<b>Biological importance</b>\", \"bbox\": [144, 4, 221, 13]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [301, 6, 307, 12]}, {\"cell\": \"<b>AVG</b>\", \"bbox\": [336, 4, 353, 13]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [375, 4, 386, 13]}, {\"cell\": \"<b>max</b>\", \"bbox\": [411, 4, 428, 13]}, {\"cell\": \"<b>min</b>\", \"bbox\": [450, 4, 465, 13]}, {\"cell\": \"Body weight\", \"bbox\": [1, 17, 43, 27]}, {\"cell\": \"kg\", \"bbox\": [104, 17, 114, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"162\", \"bbox\": [301, 17, 315, 27]}, {\"cell\": \"51\", \"bbox\": [336, 17, 346, 27]}, {\"cell\": \"9.0\", \"bbox\": [375, 17, 386, 27]}, {\"cell\": \"31\", \"bbox\": [411, 17, 421, 27]}, {\"cell\": \"77\", \"bbox\": [450, 17, 459, 27]}, {\"cell\": \"Carcass weight\", \"bbox\": [1, 30, 51, 40]}, {\"cell\": \"kg\", \"bbox\": [104, 30, 114, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"165\", \"bbox\": [301, 30, 315, 40]}, {\"cell\": \"28\", \"bbox\": [336, 30, 346, 40]}, {\"cell\": \"4.4\", \"bbox\": [375, 30, 386, 40]}, {\"cell\": \"16\", \"bbox\": [411, 30, 421, 40]}, {\"cell\": \"40\", \"bbox\": [450, 30, 459, 40]}, {\"cell\": \"Dressing percentage\", \"bbox\": [1, 44, 68, 53]}, {\"cell\": \"%\", \"bbox\": [104, 44, 112, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 44, 279, 53]}, {\"cell\": \"161\", \"bbox\": [301, 44, 315, 53]}, {\"cell\": \"55\", \"bbox\": [336, 44, 346, 53]}, {\"cell\": \"3\", \"bbox\": [375, 44, 381, 53]}, {\"cell\": \"71\", \"bbox\": [411, 44, 421, 53]}, {\"cell\": \"46\", \"bbox\": [450, 44, 459, 53]}, {\"cell\": \"Total fat\", \"bbox\": [1, 57, 29, 66]}, {\"cell\": \"kg\", \"bbox\": [104, 57, 114, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 57, 224, 66]}, {\"cell\": \"165\", \"bbox\": [301, 57, 315, 66]}, {\"cell\": \"14\", \"bbox\": [336, 57, 346, 66]}, {\"cell\": \"5.6\", \"bbox\": [375, 57, 386, 66]}, {\"cell\": \"4.6\", \"bbox\": [411, 57, 422, 66]}, {\"cell\": \"33\", \"bbox\": [450, 57, 459, 66]}, {\"cell\": \"Carcass fat\", \"bbox\": [1, 69, 36, 78]}, {\"cell\": \"kg\", \"bbox\": [104, 69, 114, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 69, 232, 78]}, {\"cell\": \"165\", \"bbox\": [301, 69, 315, 78]}, {\"cell\": \"8.7\", \"bbox\": [336, 69, 347, 78]}, {\"cell\": \"2.4\", \"bbox\": [375, 69, 386, 78]}, {\"cell\": \"3.5\", \"bbox\": [411, 69, 422, 78]}, {\"cell\": \"18\", \"bbox\": [450, 69, 459, 78]}, {\"cell\": \"Internal fat\", \"bbox\": [1, 81, 37, 90]}, {\"cell\": \"kg\", \"bbox\": [104, 81, 114, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 81, 280, 90]}, {\"cell\": \"165\", \"bbox\": [301, 81, 315, 90]}, {\"cell\": \"3.8\", \"bbox\": [336, 81, 347, 90]}, {\"cell\": \"1.6\", \"bbox\": [375, 81, 386, 90]}, {\"cell\": \"1.1\", \"bbox\": [411, 81, 422, 90]}, {\"cell\": \"8.8\", \"bbox\": [450, 81, 461, 90]}, {\"cell\": \"Percent fat in carcass\", \"bbox\": [1, 93, 71, 102]}, {\"cell\": \"%\", \"bbox\": [104, 93, 112, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 93, 246, 102]}, {\"cell\": \"165\", \"bbox\": [301, 93, 315, 102]}, {\"cell\": \"31\", \"bbox\": [336, 93, 346, 102]}, {\"cell\": \"4\", \"bbox\": [375, 93, 381, 102]}, {\"cell\": \"22\", \"bbox\": [411, 93, 421, 102]}, {\"cell\": \"45\", \"bbox\": [450, 93, 459, 102]}, {\"cell\": \"Subcutaneous fat depth*\", \"bbox\": [1, 105, 83, 114]}, {\"cell\": \"Pixel\", \"bbox\": [104, 105, 121, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 105, 207, 114]}, {\"cell\": \"161\", \"bbox\": [301, 105, 315, 114]}, {\"cell\": \"5.9\", \"bbox\": [336, 105, 347, 114]}, {\"cell\": \"2.3\", \"bbox\": [375, 105, 386, 114]}, {\"cell\": \"1\", \"bbox\": [411, 105, 417, 114]}, {\"cell\": \"13\", \"bbox\": [450, 105, 459, 114]}, {\"cell\": \"Subcutaneous fat area\", \"bbox\": [1, 117, 74, 126]}, {\"cell\": \"mm<sup>2</sup>\", \"bbox\": [104, 115, 122, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 117, 207, 126]}, {\"cell\": \"165\", \"bbox\": [301, 117, 315, 126]}, {\"cell\": \"980\", \"bbox\": [336, 117, 349, 126]}, {\"cell\": \"480\", \"bbox\": [375, 117, 388, 126]}, {\"cell\": \"36\", \"bbox\": [411, 117, 421, 126]}, {\"cell\": \"2597\", \"bbox\": [450, 117, 467, 126]}, {\"cell\": \"Total lean\", \"bbox\": [1, 128, 34, 138]}, {\"cell\": \"kg\", \"bbox\": [104, 128, 114, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 128, 215, 138]}, {\"cell\": \"152\", \"bbox\": [301, 128, 315, 138]}, {\"cell\": \"22\", \"bbox\": [336, 128, 346, 138]}, {\"cell\": \"5.61\", \"bbox\": [375, 128, 390, 138]}, {\"cell\": \"12\", \"bbox\": [411, 128, 421, 138]}, {\"cell\": \"32\", \"bbox\": [450, 128, 459, 138]}, {\"cell\": \"Carcass lean\", \"bbox\": [1, 140, 42, 150]}, {\"cell\": \"kg\", \"bbox\": [104, 140, 114, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 140, 221, 150]}, {\"cell\": \"165\", \"bbox\": [301, 140, 315, 150]}, {\"cell\": \"16\", \"bbox\": [336, 140, 346, 150]}, {\"cell\": \"2.34\", \"bbox\": [375, 140, 390, 150]}, {\"cell\": \"10\", \"bbox\": [411, 140, 421, 150]}, {\"cell\": \"22\", \"bbox\": [450, 140, 459, 150]}, {\"cell\": \"Percent lean in carcass\", \"bbox\": [1, 152, 76, 162]}, {\"cell\": \"%\", \"bbox\": [104, 152, 112, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 152, 238, 162]}, {\"cell\": \"165\", \"bbox\": [301, 152, 315, 162]}, {\"cell\": \"59\", \"bbox\": [336, 152, 346, 162]}, {\"cell\": \"3\", \"bbox\": [375, 152, 381, 162]}, {\"cell\": \"48\", \"bbox\": [411, 152, 421, 162]}, {\"cell\": \"67\", \"bbox\": [450, 152, 459, 162]}, {\"cell\": \"Eye muscle area*\", \"bbox\": [1, 164, 57, 174]}, {\"cell\": \"mm<sup>2</sup>\", \"bbox\": [104, 163, 122, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 164, 221, 174]}, {\"cell\": \"165\", \"bbox\": [301, 164, 315, 174]}, {\"cell\": \"4205\", \"bbox\": [336, 164, 353, 174]}, {\"cell\": \"502\", \"bbox\": [375, 164, 388, 174]}, {\"cell\": \"1245\", \"bbox\": [411, 164, 428, 174]}, {\"cell\": \"5333\", \"bbox\": [450, 164, 467, 174]}, {\"cell\": \"Total bone\", \"bbox\": [1, 176, 37, 186]}, {\"cell\": \"kg\", \"bbox\": [104, 176, 114, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 176, 219, 186]}, {\"cell\": \"152\", \"bbox\": [301, 176, 315, 186]}, {\"cell\": \"7.4\", \"bbox\": [336, 176, 347, 186]}, {\"cell\": \"4.4\", \"bbox\": [375, 176, 386, 186]}, {\"cell\": \"2.5\", \"bbox\": [411, 176, 422, 186]}, {\"cell\": \"12\", \"bbox\": [450, 176, 459, 186]}, {\"cell\": \"Carcass bone\", \"bbox\": [1, 188, 45, 198]}, {\"cell\": \"kg\", \"bbox\": [104, 188, 114, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 188, 254, 198]}, {\"cell\": \"165\", \"bbox\": [301, 188, 315, 198]}, {\"cell\": \"2.9\", \"bbox\": [336, 188, 347, 198]}, {\"cell\": \"0.34\", \"bbox\": [375, 188, 390, 198]}, {\"cell\": \"1.98\", \"bbox\": [411, 188, 426, 198]}, {\"cell\": \"4.2\", \"bbox\": [450, 188, 461, 198]}, {\"cell\": \"Percent bone in carcass\", \"bbox\": [1, 200, 79, 210]}, {\"cell\": \"%\", \"bbox\": [104, 200, 112, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [144, 200, 241, 210]}, {\"cell\": \"165\", \"bbox\": [301, 200, 315, 210]}, {\"cell\": \"11\", \"bbox\": [336, 200, 346, 210]}, {\"cell\": \"2\", \"bbox\": [375, 200, 381, 210]}, {\"cell\": \"7\", \"bbox\": [411, 200, 417, 210]}, {\"cell\": \"16\", \"bbox\": [450, 200, 459, 210]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2949606_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}624{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Canonical variate</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>F1</b></td><td><b>F2</b></td><td><b>F3</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.889</td><td>−0.455</td><td>−0.060</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.629</td><td>−0.511</td><td>−0.586</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.627</td><td>−0.652</td><td>0.425</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.008</td><td>−0.153</td><td>−0.817</td></tr><tr><td>[EMPTY_CELL]</td><td>0.174</td><td>−0.042</td><td>0.327</td></tr><tr><td>[EMPTY_CELL]</td><td>0.659</td><td>−0.702</td><td>0.027</td></tr><tr><td>[EMPTY_CELL]</td><td>0.736</td><td>0.257</td><td>−0.394</td></tr><tr><td>[EMPTY_CELL]</td><td>0.853</td><td>0.229</td><td>0.169</td></tr><tr><td>[EMPTY_CELL]</td><td>0.125</td><td>0.249</td><td>0.082</td></tr><tr><td>[EMPTY_CELL]</td><td>0.396</td><td>0.556</td><td>0.071</td></tr><tr><td>[EMPTY_CELL]</td><td>0.693 (<i>p</i> < 0.0001)</td><td>0.453 (<i>p</i> = 0.0001)</td><td>0.153 (<i>p</i> = 0.611)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Canonical variate</b>\", \"bbox\": [321, 4, 386, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>F1</b>\", \"bbox\": [235, 15, 246, 25]}, {\"cell\": \"<b>F2</b>\", \"bbox\": [350, 15, 361, 25]}, {\"cell\": \"<b>F3</b>\", \"bbox\": [464, 15, 475, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 29, 71, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 41, 158, 52]}, {\"cell\": \"0.889\", \"bbox\": [230, 41, 251, 52]}, {\"cell\": \"−0.455\", \"bbox\": [343, 41, 369, 52]}, {\"cell\": \"−0.060\", \"bbox\": [456, 41, 482, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 55, 64, 65]}, {\"cell\": \"−0.629\", \"bbox\": [227, 55, 253, 65]}, {\"cell\": \"−0.511\", \"bbox\": [343, 55, 369, 65]}, {\"cell\": \"−0.586\", \"bbox\": [456, 55, 482, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 68, 115, 78]}, {\"cell\": \"−0.627\", \"bbox\": [227, 68, 253, 78]}, {\"cell\": \"−0.652\", \"bbox\": [343, 68, 369, 78]}, {\"cell\": \"0.425\", \"bbox\": [459, 68, 480, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 80, 67, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 94, 26, 104]}, {\"cell\": \"−0.008\", \"bbox\": [227, 94, 253, 104]}, {\"cell\": \"−0.153\", \"bbox\": [343, 94, 369, 104]}, {\"cell\": \"−0.817\", \"bbox\": [456, 94, 482, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 106, 28, 117]}, {\"cell\": \"0.174\", \"bbox\": [230, 106, 251, 117]}, {\"cell\": \"−0.042\", \"bbox\": [343, 106, 369, 117]}, {\"cell\": \"0.327\", \"bbox\": [459, 106, 480, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 119, 106, 130]}, {\"cell\": \"0.659\", \"bbox\": [230, 119, 251, 130]}, {\"cell\": \"−0.702\", \"bbox\": [343, 119, 369, 130]}, {\"cell\": \"0.027\", \"bbox\": [459, 119, 480, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 133, 121, 143]}, {\"cell\": \"0.736\", \"bbox\": [230, 133, 251, 143]}, {\"cell\": \"0.257\", \"bbox\": [345, 133, 366, 143]}, {\"cell\": \"−0.394\", \"bbox\": [456, 133, 482, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 145, 145, 156]}, {\"cell\": \"0.853\", \"bbox\": [230, 145, 251, 156]}, {\"cell\": \"0.229\", \"bbox\": [345, 145, 366, 156]}, {\"cell\": \"0.169\", \"bbox\": [459, 145, 480, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 158, 95, 169]}, {\"cell\": \"0.125\", \"bbox\": [230, 158, 251, 169]}, {\"cell\": \"0.249\", \"bbox\": [345, 158, 366, 169]}, {\"cell\": \"0.082\", \"bbox\": [459, 158, 480, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 171, 35, 182]}, {\"cell\": \"0.396\", \"bbox\": [230, 171, 251, 182]}, {\"cell\": \"0.556\", \"bbox\": [345, 171, 366, 182]}, {\"cell\": \"0.071\", \"bbox\": [459, 171, 480, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 184, 121, 195]}, {\"cell\": \"0.693 (<i>p</i> < 0.0001)\", \"bbox\": [207, 184, 274, 195]}, {\"cell\": \"0.453 (<i>p</i> = 0.0001)\", \"bbox\": [322, 185, 389, 195]}, {\"cell\": \"0.153 (<i>p</i> = 0.611)\", \"bbox\": [438, 185, 501, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5745718_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}625{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Age group and country<sup>‡</sup></b></td><td colspan=\\\"2\\\"><b>Weight<sup>#</sup>(kg)</b></td><td colspan=\\\"2\\\"><b>W/A Z-score</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Boys</b></td><td><b>Girls</b></td><td><b>Boys</b></td><td><b>Girls</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Mean (SD)</b></td></tr></thead><tbody><tr><td>6-year-olds</td><td>†</td><td>[EMPTY_CELL]</td><td>†</td><td>†</td></tr><tr><td> BEL</td><td>23.0 (3.7)<sup>§a</sup></td><td>[EMPTY_CELL]</td><td>0.35 (1.06)<sup>a</sup></td><td>0.33 (1.00)<sup>a</sup></td></tr><tr><td> SVN</td><td>24.9 (4.6)<sup>§b</sup></td><td>[EMPTY_CELL]</td><td>0.70 (1.20)<sup>§b</sup></td><td>0.62 (1.10)<sup>b</sup></td></tr><tr><td> ESP</td><td>24.9 (4.6)<sup>§b</sup></td><td>[EMPTY_CELL]</td><td>0.81 (1.19)<sup>b</sup></td><td>0.72 (1.09)<sup>c</sup></td></tr><tr><td>7-year-olds</td><td>†</td><td>[EMPTY_CELL]</td><td>†</td><td>†</td></tr><tr><td> BEL</td><td>25.8 (5.0)<sup>§a</sup></td><td>[EMPTY_CELL]</td><td>0.40 (1.20)<sup>a</sup></td><td>0.40 (1.13)<sup>a</sup></td></tr><tr><td> CZE</td><td>26.0 (4.8)<sup>§ab</sup></td><td>[EMPTY_CELL]</td><td>0.63 (1.17)<sup>§bc</sup></td><td>0.51 (1.12)<sup>abc</sup></td></tr><tr><td> GRC</td><td>29.5 (5.8)<sup>§c</sup></td><td>[EMPTY_CELL]</td><td>1.17 (1.27)<sup>§d</sup></td><td>1.05 (1.15)<sup>d</sup></td></tr><tr><td> HUN</td><td>26.7 (5.5)<sup>bde</sup></td><td>[EMPTY_CELL]</td><td>0.57 (1.28)<sup>ab</sup></td><td>0.54 (1.22)<sup>abc</sup></td></tr><tr><td> IRL</td><td>26.0 (4.2)<sup>§ad</sup></td><td>[EMPTY_CELL]</td><td>0.53 (1.04)<sup>ab</sup></td><td>0.51 (1.02)<sup>abc</sup></td></tr><tr><td> LVA</td><td>27.4 (5.3)<sup>§fg</sup></td><td>[EMPTY_CELL]</td><td>0.63 (1.18)<sup>§b</sup></td><td>0.45 (1.08)<sup>ac</sup></td></tr><tr><td> LTU</td><td>27.6 (5.3)<sup>§f</sup></td><td>[EMPTY_CELL]</td><td>0.68 (1.17)<sup>§bc</sup></td><td>0.55 (1.09)<sup>bc</sup></td></tr><tr><td> PRT</td><td>27.0 (5.5)<sup>deg</sup></td><td>[EMPTY_CELL]</td><td>0.61 (1.25)<sup>b</sup></td><td>0.66 (1.15)<sup>be</sup></td></tr><tr><td> SVN</td><td>27.8 (5.7)<sup>§f</sup></td><td>[EMPTY_CELL]</td><td>0.78 (1.25)<sup>§c</sup></td><td>0.64 (1.14)<sup>b</sup></td></tr><tr><td> ESP</td><td>28.5 (5.7)<sup>§h</sup></td><td>[EMPTY_CELL]</td><td>0.96 (1.24)<sup>§e</sup></td><td>0.81 (1.13)<sup>e</sup></td></tr><tr><td> MKD</td><td>27.6 (6.4)<sup>§ef</sup></td><td>[EMPTY_CELL]</td><td>0.70 (1.46)<sup>§bc</sup></td><td>0.50 (1.32)<sup>ac</sup></td></tr><tr><td>8-year-olds</td><td>†</td><td>[EMPTY_CELL]</td><td>†</td><td>†</td></tr><tr><td> BEL</td><td>29.3 (5.5)<sup>§a</sup></td><td>[EMPTY_CELL]</td><td>0.45 (1.10)<sup>§a</sup></td><td>0.40 (1.06)<sup>a</sup></td></tr><tr><td> ITA</td><td>32.3 (7.3)<sup>§b</sup></td><td>[EMPTY_CELL]</td><td>0.90 (1.31)<sup>§b</sup></td><td>0.70 (1.22)<sup>b</sup></td></tr><tr><td> NOR</td><td>30.2 (5.7)<sup>§c</sup></td><td>[EMPTY_CELL]</td><td>0.69 (1.11)<sup>§c</sup></td><td>0.56 (1.00)<sup>c</sup></td></tr><tr><td> SVN</td><td>31.8 (7.0)<sup>§d</sup></td><td>[EMPTY_CELL]</td><td>0.90 (1.26)<sup>§b</sup></td><td>0.72 (1.16)<sup>b</sup></td></tr><tr><td> ESP</td><td>31.7 (6.4)<sup>bd</sup></td><td>[EMPTY_CELL]</td><td>0.91 (1.18)<sup>§b</sup></td><td>0.79 (1.12)<sup>b</sup></td></tr><tr><td>9-year-olds</td><td>†</td><td>[EMPTY_CELL]</td><td>†</td><td>†</td></tr><tr><td> BEL</td><td>32.8 (7.3)<sup>a</sup></td><td>[EMPTY_CELL]</td><td>0.46 (1.18)<sup>§a</sup></td><td>0.36 (1.18)<sup>a</sup></td></tr><tr><td> GRC</td><td>38.4 (8.9)<sup>§b</sup></td><td>[EMPTY_CELL]</td><td>1.30 (1.21)<sup>§b</sup></td><td>1.02 (1.23)<sup>b</sup></td></tr><tr><td> IRL</td><td>33.0 (6.3)<sup>§ac</sup></td><td>[EMPTY_CELL]</td><td>0.63 (1.05)<sup>§c</sup></td><td>0.37 (1.13)<sup>ac</sup></td></tr><tr><td> ITA</td><td>33.9 (7.8)<sup>§c</sup></td><td>[EMPTY_CELL]</td><td>0.79 (1.28)<sup>§d</sup></td><td>0.53 (1.21)<sup>c</sup></td></tr><tr><td> LTU</td><td>34.7 (7.5)<sup>§d</sup></td><td>[EMPTY_CELL]</td><td>0.66 (1.12)<sup>§c</sup></td><td>0.40 (1.09)<sup>a</sup></td></tr><tr><td> SVN</td><td>34.2 (7.9)<sup>cd</sup></td><td>[EMPTY_CELL]</td><td>0.85 (1.24)<sup>§de</sup></td><td>0.68 (1.23)<sup>d</sup></td></tr><tr><td> ESP</td><td>35.9 (7.7)<sup>§e</sup></td><td>[EMPTY_CELL]</td><td>0.97 (1.13)<sup>§e</sup></td><td>0.73 (1.12)<sup>d</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Age group and country<sup>‡</sup></b>\", \"bbox\": [1, 2, 87, 13]}, {\"cell\": \"<b>Weight<sup>#</sup>(kg)</b>\", \"bbox\": [146, 2, 191, 13]}, {\"cell\": \"<b>W/A Z-score</b>\", \"bbox\": [340, 4, 384, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Boys</b>\", \"bbox\": [146, 17, 164, 27]}, {\"cell\": \"<b>Girls</b>\", \"bbox\": [244, 17, 262, 27]}, {\"cell\": \"<b>Boys</b>\", \"bbox\": [340, 17, 358, 27]}, {\"cell\": \"<b>Girls</b>\", \"bbox\": [442, 17, 459, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [146, 30, 184, 40]}, {\"cell\": \"6-year-olds\", \"bbox\": [1, 43, 37, 53]}, {\"cell\": \"†\", \"bbox\": [146, 44, 152, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 44, 250, 51]}, {\"cell\": \"†\", \"bbox\": [340, 44, 346, 51]}, {\"cell\": \"†\", \"bbox\": [442, 44, 448, 51]}, {\"cell\": \" BEL\", \"bbox\": [8, 57, 22, 67]}, {\"cell\": \"23.0 (3.7)<sup>§a</sup>\", \"bbox\": [146, 56, 182, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 56, 277, 67]}, {\"cell\": \"0.35 (1.06)<sup>a</sup>\", \"bbox\": [340, 56, 377, 67]}, {\"cell\": \"0.33 (1.00)<sup>a</sup>\", \"bbox\": [442, 56, 479, 67]}, {\"cell\": \" SVN\", \"bbox\": [8, 71, 23, 81]}, {\"cell\": \"24.9 (4.6)<sup>§b</sup>\", \"bbox\": [146, 70, 182, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 70, 278, 81]}, {\"cell\": \"0.70 (1.20)<sup>§b</sup>\", \"bbox\": [340, 70, 380, 81]}, {\"cell\": \"0.62 (1.10)<sup>b</sup>\", \"bbox\": [442, 70, 479, 81]}, {\"cell\": \" ESP\", \"bbox\": [8, 85, 22, 95]}, {\"cell\": \"24.9 (4.6)<sup>§b</sup>\", \"bbox\": [146, 84, 182, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 84, 278, 95]}, {\"cell\": \"0.81 (1.19)<sup>b</sup>\", \"bbox\": [340, 84, 377, 95]}, {\"cell\": \"0.72 (1.09)<sup>c</sup>\", \"bbox\": [442, 84, 478, 95]}, {\"cell\": \"7-year-olds\", \"bbox\": [1, 99, 37, 109]}, {\"cell\": \"†\", \"bbox\": [146, 100, 152, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 100, 250, 107]}, {\"cell\": \"†\", \"bbox\": [340, 100, 346, 107]}, {\"cell\": \"†\", \"bbox\": [442, 100, 448, 107]}, {\"cell\": \" BEL\", \"bbox\": [8, 113, 22, 123]}, {\"cell\": \"25.8 (5.0)<sup>§a</sup>\", \"bbox\": [146, 112, 182, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 112, 277, 123]}, {\"cell\": \"0.40 (1.20)<sup>a</sup>\", \"bbox\": [340, 112, 377, 123]}, {\"cell\": \"0.40 (1.13)<sup>a</sup>\", \"bbox\": [442, 112, 479, 123]}, {\"cell\": \" CZE\", \"bbox\": [8, 127, 23, 137]}, {\"cell\": \"26.0 (4.8)<sup>§ab</sup>\", \"bbox\": [146, 126, 185, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 126, 277, 137]}, {\"cell\": \"0.63 (1.17)<sup>§bc</sup>\", \"bbox\": [340, 126, 383, 137]}, {\"cell\": \"0.51 (1.12)<sup>abc</sup>\", \"bbox\": [442, 126, 484, 137]}, {\"cell\": \" GRC\", \"bbox\": [8, 141, 24, 151]}, {\"cell\": \"29.5 (5.8)<sup>§c</sup>\", \"bbox\": [146, 140, 182, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 140, 278, 151]}, {\"cell\": \"1.17 (1.27)<sup>§d</sup>\", \"bbox\": [340, 140, 380, 151]}, {\"cell\": \"1.05 (1.15)<sup>d</sup>\", \"bbox\": [442, 140, 479, 151]}, {\"cell\": \" HUN\", \"bbox\": [8, 155, 26, 165]}, {\"cell\": \"26.7 (5.5)<sup>bde</sup>\", \"bbox\": [146, 154, 186, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 154, 280, 165]}, {\"cell\": \"0.57 (1.28)<sup>ab</sup>\", \"bbox\": [340, 154, 380, 165]}, {\"cell\": \"0.54 (1.22)<sup>abc</sup>\", \"bbox\": [442, 154, 484, 165]}, {\"cell\": \" IRL\", \"bbox\": [8, 169, 20, 179]}, {\"cell\": \"26.0 (4.2)<sup>§ad</sup>\", \"bbox\": [146, 168, 185, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 168, 280, 179]}, {\"cell\": \"0.53 (1.04)<sup>ab</sup>\", \"bbox\": [340, 168, 380, 179]}, {\"cell\": \"0.51 (1.02)<sup>abc</sup>\", \"bbox\": [442, 168, 484, 179]}, {\"cell\": \" LVA\", \"bbox\": [8, 183, 23, 193]}, {\"cell\": \"27.4 (5.3)<sup>§fg</sup>\", \"bbox\": [146, 182, 184, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 182, 281, 193]}, {\"cell\": \"0.63 (1.18)<sup>§b</sup>\", \"bbox\": [340, 182, 380, 193]}, {\"cell\": \"0.45 (1.08)<sup>ac</sup>\", \"bbox\": [442, 182, 481, 193]}, {\"cell\": \" LTU\", \"bbox\": [8, 197, 23, 207]}, {\"cell\": \"27.6 (5.3)<sup>§f</sup>\", \"bbox\": [146, 196, 181, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 196, 278, 207]}, {\"cell\": \"0.68 (1.17)<sup>§bc</sup>\", \"bbox\": [340, 196, 383, 207]}, {\"cell\": \"0.55 (1.09)<sup>bc</sup>\", \"bbox\": [442, 196, 482, 207]}, {\"cell\": \" PRT\", \"bbox\": [8, 211, 22, 221]}, {\"cell\": \"27.0 (5.5)<sup>deg</sup>\", \"bbox\": [146, 210, 186, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 210, 281, 221]}, {\"cell\": \"0.61 (1.25)<sup>b</sup>\", \"bbox\": [340, 210, 377, 221]}, {\"cell\": \"0.66 (1.15)<sup>be</sup>\", \"bbox\": [442, 210, 482, 221]}, {\"cell\": \" SVN\", \"bbox\": [8, 225, 23, 235]}, {\"cell\": \"27.8 (5.7)<sup>§f</sup>\", \"bbox\": [146, 224, 181, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 224, 278, 235]}, {\"cell\": \"0.78 (1.25)<sup>§c</sup>\", \"bbox\": [340, 224, 379, 235]}, {\"cell\": \"0.64 (1.14)<sup>b</sup>\", \"bbox\": [442, 224, 479, 235]}, {\"cell\": \" ESP\", \"bbox\": [8, 239, 22, 249]}, {\"cell\": \"28.5 (5.7)<sup>§h</sup>\", \"bbox\": [146, 238, 182, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 238, 278, 249]}, {\"cell\": \"0.96 (1.24)<sup>§e</sup>\", \"bbox\": [340, 238, 380, 249]}, {\"cell\": \"0.81 (1.13)<sup>e</sup>\", \"bbox\": [442, 238, 479, 249]}, {\"cell\": \" MKD\", \"bbox\": [8, 253, 26, 263]}, {\"cell\": \"27.6 (6.4)<sup>§ef</sup>\", \"bbox\": [146, 252, 184, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 252, 277, 263]}, {\"cell\": \"0.70 (1.46)<sup>§bc</sup>\", \"bbox\": [340, 252, 383, 263]}, {\"cell\": \"0.50 (1.32)<sup>ac</sup>\", \"bbox\": [442, 252, 481, 263]}, {\"cell\": \"8-year-olds\", \"bbox\": [1, 267, 37, 277]}, {\"cell\": \"†\", \"bbox\": [146, 268, 152, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 268, 250, 275]}, {\"cell\": \"†\", \"bbox\": [340, 268, 346, 275]}, {\"cell\": \"†\", \"bbox\": [442, 268, 448, 275]}, {\"cell\": \" BEL\", \"bbox\": [8, 281, 22, 291]}, {\"cell\": \"29.3 (5.5)<sup>§a</sup>\", \"bbox\": [146, 280, 182, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 280, 277, 291]}, {\"cell\": \"0.45 (1.10)<sup>§a</sup>\", \"bbox\": [340, 280, 379, 291]}, {\"cell\": \"0.40 (1.06)<sup>a</sup>\", \"bbox\": [442, 280, 479, 291]}, {\"cell\": \" ITA\", \"bbox\": [8, 295, 20, 305]}, {\"cell\": \"32.3 (7.3)<sup>§b</sup>\", \"bbox\": [146, 294, 182, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 294, 278, 305]}, {\"cell\": \"0.90 (1.31)<sup>§b</sup>\", \"bbox\": [340, 294, 380, 305]}, {\"cell\": \"0.70 (1.22)<sup>b</sup>\", \"bbox\": [442, 294, 479, 305]}, {\"cell\": \" NOR\", \"bbox\": [8, 309, 25, 319]}, {\"cell\": \"30.2 (5.7)<sup>§c</sup>\", \"bbox\": [146, 308, 182, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 308, 277, 319]}, {\"cell\": \"0.69 (1.11)<sup>§c</sup>\", \"bbox\": [340, 308, 379, 319]}, {\"cell\": \"0.56 (1.00)<sup>c</sup>\", \"bbox\": [442, 308, 478, 319]}, {\"cell\": \" SVN\", \"bbox\": [8, 323, 23, 333]}, {\"cell\": \"31.8 (7.0)<sup>§d</sup>\", \"bbox\": [146, 322, 182, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 322, 278, 333]}, {\"cell\": \"0.90 (1.26)<sup>§b</sup>\", \"bbox\": [340, 322, 380, 333]}, {\"cell\": \"0.72 (1.16)<sup>b</sup>\", \"bbox\": [442, 322, 479, 333]}, {\"cell\": \" ESP\", \"bbox\": [8, 337, 22, 347]}, {\"cell\": \"31.7 (6.4)<sup>bd</sup>\", \"bbox\": [146, 336, 183, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 336, 278, 347]}, {\"cell\": \"0.91 (1.18)<sup>§b</sup>\", \"bbox\": [340, 336, 380, 347]}, {\"cell\": \"0.79 (1.12)<sup>b</sup>\", \"bbox\": [442, 336, 479, 347]}, {\"cell\": \"9-year-olds\", \"bbox\": [1, 351, 37, 361]}, {\"cell\": \"†\", \"bbox\": [146, 352, 152, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 352, 250, 359]}, {\"cell\": \"†\", \"bbox\": [340, 352, 346, 359]}, {\"cell\": \"†\", \"bbox\": [442, 352, 448, 359]}, {\"cell\": \" BEL\", \"bbox\": [8, 365, 22, 375]}, {\"cell\": \"32.8 (7.3)<sup>a</sup>\", \"bbox\": [146, 364, 179, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 364, 277, 375]}, {\"cell\": \"0.46 (1.18)<sup>§a</sup>\", \"bbox\": [340, 364, 379, 375]}, {\"cell\": \"0.36 (1.18)<sup>a</sup>\", \"bbox\": [442, 364, 479, 375]}, {\"cell\": \" GRC\", \"bbox\": [8, 379, 24, 389]}, {\"cell\": \"38.4 (8.9)<sup>§b</sup>\", \"bbox\": [146, 378, 182, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 378, 278, 389]}, {\"cell\": \"1.30 (1.21)<sup>§b</sup>\", \"bbox\": [340, 378, 380, 389]}, {\"cell\": \"1.02 (1.23)<sup>b</sup>\", \"bbox\": [442, 378, 479, 389]}, {\"cell\": \" IRL\", \"bbox\": [8, 393, 20, 403]}, {\"cell\": \"33.0 (6.3)<sup>§ac</sup>\", \"bbox\": [146, 392, 185, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 392, 277, 403]}, {\"cell\": \"0.63 (1.05)<sup>§c</sup>\", \"bbox\": [340, 392, 379, 403]}, {\"cell\": \"0.37 (1.13)<sup>ac</sup>\", \"bbox\": [442, 392, 481, 403]}, {\"cell\": \" ITA\", \"bbox\": [8, 407, 20, 417]}, {\"cell\": \"33.9 (7.8)<sup>§c</sup>\", \"bbox\": [146, 406, 182, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 406, 277, 417]}, {\"cell\": \"0.79 (1.28)<sup>§d</sup>\", \"bbox\": [340, 406, 380, 417]}, {\"cell\": \"0.53 (1.21)<sup>c</sup>\", \"bbox\": [442, 406, 478, 417]}, {\"cell\": \" LTU\", \"bbox\": [8, 421, 23, 431]}, {\"cell\": \"34.7 (7.5)<sup>§d</sup>\", \"bbox\": [146, 420, 182, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 420, 277, 431]}, {\"cell\": \"0.66 (1.12)<sup>§c</sup>\", \"bbox\": [340, 420, 379, 431]}, {\"cell\": \"0.40 (1.09)<sup>a</sup>\", \"bbox\": [442, 420, 479, 431]}, {\"cell\": \" SVN\", \"bbox\": [8, 435, 23, 445]}, {\"cell\": \"34.2 (7.9)<sup>cd</sup>\", \"bbox\": [146, 434, 182, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 434, 277, 445]}, {\"cell\": \"0.85 (1.24)<sup>§de</sup>\", \"bbox\": [340, 434, 383, 445]}, {\"cell\": \"0.68 (1.23)<sup>d</sup>\", \"bbox\": [442, 434, 479, 445]}, {\"cell\": \" ESP\", \"bbox\": [8, 449, 22, 459]}, {\"cell\": \"35.9 (7.7)<sup>§e</sup>\", \"bbox\": [146, 448, 182, 459]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 448, 278, 459]}, {\"cell\": \"0.97 (1.13)<sup>§e</sup>\", \"bbox\": [340, 448, 380, 459]}, {\"cell\": \"0.73 (1.12)<sup>d</sup>\", \"bbox\": [442, 448, 479, 459]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4289284_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}626{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Variables</b></td><td><b>Overall mean score for PI<sup>*</sup></b></td><td><b>Overall mean score for AP<sup>*</sup></b></td><td><b>Overall mean score for EE<sup>*</sup></b></td><td><b>Overall mean score for LCS<sup>*</sup></b></td><td><b>p-value<sup>†</sup></b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\">Gender</td></tr><tr><td>[EMPTY_CELL]</td><td>Male</td><td>[EMPTY_CELL]</td><td>4.34</td><td>3.67</td><td>4.11</td><td rowspan=\\\"2\\\">PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Female</td><td>[EMPTY_CELL]</td><td>4.95</td><td>3.95</td><td>4.60</td></tr><tr><td colspan=\\\"7\\\">Age groups</td></tr><tr><td>[EMPTY_CELL]</td><td>17 - 20</td><td>[EMPTY_CELL]</td><td>4.80</td><td>3.49</td><td>3.98</td><td rowspan=\\\"3\\\">PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>21-24</td><td>[EMPTY_CELL]</td><td>4.80</td><td>4.18</td><td>4.85</td></tr><tr><td>[EMPTY_CELL]</td><td>25-27</td><td>[EMPTY_CELL]</td><td>5.06</td><td>3.96</td><td>4.90</td></tr><tr><td colspan=\\\"7\\\">Ethnic groups</td></tr><tr><td>[EMPTY_CELL]</td><td>Malay</td><td>[EMPTY_CELL]</td><td>4.96</td><td>4.00</td><td>4.58</td><td rowspan=\\\"4\\\">PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Chinese</td><td>[EMPTY_CELL]</td><td>4.43</td><td>3.65</td><td>4.27</td></tr><tr><td>[EMPTY_CELL]</td><td>Indian</td><td>[EMPTY_CELL]</td><td>4.61</td><td>3.12</td><td>3.97</td></tr><tr><td>[EMPTY_CELL]</td><td>Others</td><td>[EMPTY_CELL]</td><td>4.77</td><td>3.38</td><td>4.22</td></tr><tr><td colspan=\\\"7\\\">Year of study</td></tr><tr><td>[EMPTY_CELL]</td><td>Year 1</td><td>[EMPTY_CELL]</td><td>4.79</td><td>3.17</td><td>3.49</td><td rowspan=\\\"5\\\">PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001;</td></tr><tr><td>[EMPTY_CELL]</td><td>Year 2</td><td>[EMPTY_CELL]</td><td>4.77</td><td>3.78</td><td>4.49</td></tr><tr><td>[EMPTY_CELL]</td><td>Year 3</td><td>[EMPTY_CELL]</td><td>4.51</td><td>3.84</td><td>4.63</td></tr><tr><td>[EMPTY_CELL]</td><td>Year 4</td><td>[EMPTY_CELL]</td><td>4.89</td><td>4.22</td><td>4.96</td></tr><tr><td>[EMPTY_CELL]</td><td>Year 5</td><td>[EMPTY_CELL]</td><td>5.18</td><td>4.84</td><td>5.25</td></tr><tr><td colspan=\\\"7\\\">Type of university</td></tr><tr><td>[EMPTY_CELL]</td><td>Public</td><td>[EMPTY_CELL]</td><td>4.89</td><td>3.97</td><td>4.61</td><td rowspan=\\\"2\\\">PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>Private</td><td>[EMPTY_CELL]</td><td>4.37</td><td>3.42</td><td>3.82</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 15, 32, 23]}, {\"cell\": \"<b>Overall mean score for PI<sup>*</sup></b>\", \"bbox\": [51, 3, 80, 35]}, {\"cell\": \"<b>Overall mean score for AP<sup>*</sup></b>\", \"bbox\": [83, 3, 112, 35]}, {\"cell\": \"<b>Overall mean score for EE<sup>*</sup></b>\", \"bbox\": [115, 3, 144, 35]}, {\"cell\": \"<b>Overall mean score for LCS<sup>*</sup></b>\", \"bbox\": [146, 3, 175, 35]}, {\"cell\": \"<b>p-value<sup>†</sup></b>\", \"bbox\": [189, 13, 216, 23]}, {\"cell\": \"Gender\", \"bbox\": [1, 38, 26, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [22, 51, 39, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 51, 73, 60]}, {\"cell\": \"4.34\", \"bbox\": [89, 51, 105, 60]}, {\"cell\": \"3.67\", \"bbox\": [121, 51, 137, 60]}, {\"cell\": \"4.11\", \"bbox\": [153, 51, 169, 60]}, {\"cell\": \"PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001\", \"bbox\": [182, 49, 223, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [22, 67, 47, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 67, 73, 76]}, {\"cell\": \"4.95\", \"bbox\": [89, 67, 105, 76]}, {\"cell\": \"3.95\", \"bbox\": [121, 67, 137, 76]}, {\"cell\": \"4.60\", \"bbox\": [153, 67, 169, 76]}, {\"cell\": \"Age groups\", \"bbox\": [1, 85, 38, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"17 - 20\", \"bbox\": [22, 98, 46, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 98, 73, 106]}, {\"cell\": \"4.80\", \"bbox\": [89, 98, 105, 106]}, {\"cell\": \"3.49\", \"bbox\": [121, 98, 137, 106]}, {\"cell\": \"3.98\", \"bbox\": [153, 98, 169, 106]}, {\"cell\": \"PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001\", \"bbox\": [182, 97, 223, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"21-24\", \"bbox\": [22, 106, 42, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 106, 73, 115]}, {\"cell\": \"4.80\", \"bbox\": [89, 106, 105, 115]}, {\"cell\": \"4.18\", \"bbox\": [121, 106, 137, 115]}, {\"cell\": \"4.85\", \"bbox\": [153, 106, 169, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"25-27\", \"bbox\": [22, 118, 42, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 118, 73, 126]}, {\"cell\": \"5.06\", \"bbox\": [89, 118, 105, 126]}, {\"cell\": \"3.96\", \"bbox\": [121, 118, 137, 126]}, {\"cell\": \"4.90\", \"bbox\": [153, 118, 169, 126]}, {\"cell\": \"Ethnic groups\", \"bbox\": [1, 133, 45, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Malay\", \"bbox\": [22, 146, 43, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 146, 73, 155]}, {\"cell\": \"4.96\", \"bbox\": [89, 146, 105, 155]}, {\"cell\": \"4.00\", \"bbox\": [121, 146, 137, 155]}, {\"cell\": \"4.58\", \"bbox\": [153, 146, 169, 155]}, {\"cell\": \"PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001\", \"bbox\": [182, 147, 223, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chinese\", \"bbox\": [22, 155, 50, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 155, 73, 163]}, {\"cell\": \"4.43\", \"bbox\": [89, 155, 105, 163]}, {\"cell\": \"3.65\", \"bbox\": [121, 155, 137, 163]}, {\"cell\": \"4.27\", \"bbox\": [153, 155, 169, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Indian\", \"bbox\": [22, 164, 43, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 164, 73, 172]}, {\"cell\": \"4.61\", \"bbox\": [89, 164, 105, 172]}, {\"cell\": \"3.12\", \"bbox\": [121, 164, 137, 172]}, {\"cell\": \"3.97\", \"bbox\": [153, 164, 169, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Others\", \"bbox\": [22, 172, 45, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 172, 73, 181]}, {\"cell\": \"4.77\", \"bbox\": [89, 172, 105, 181]}, {\"cell\": \"3.38\", \"bbox\": [121, 172, 137, 181]}, {\"cell\": \"4.22\", \"bbox\": [153, 172, 169, 181]}, {\"cell\": \"Year of study\", \"bbox\": [1, 182, 43, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year 1\", \"bbox\": [22, 192, 45, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 192, 73, 201]}, {\"cell\": \"4.79\", \"bbox\": [89, 192, 105, 201]}, {\"cell\": \"3.17\", \"bbox\": [121, 192, 137, 201]}, {\"cell\": \"3.49\", \"bbox\": [153, 192, 169, 201]}, {\"cell\": \"PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001;\", \"bbox\": [182, 198, 223, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year 2\", \"bbox\": [22, 201, 45, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 201, 73, 210]}, {\"cell\": \"4.77\", \"bbox\": [89, 201, 105, 210]}, {\"cell\": \"3.78\", \"bbox\": [121, 201, 137, 210]}, {\"cell\": \"4.49\", \"bbox\": [153, 201, 169, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year 3\", \"bbox\": [22, 210, 45, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 210, 73, 219]}, {\"cell\": \"4.51\", \"bbox\": [89, 210, 105, 219]}, {\"cell\": \"3.84\", \"bbox\": [121, 210, 137, 219]}, {\"cell\": \"4.63\", \"bbox\": [153, 210, 169, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year 4\", \"bbox\": [22, 219, 45, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 219, 73, 227]}, {\"cell\": \"4.89\", \"bbox\": [89, 219, 105, 227]}, {\"cell\": \"4.22\", \"bbox\": [121, 219, 137, 227]}, {\"cell\": \"4.96\", \"bbox\": [153, 219, 169, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year 5\", \"bbox\": [22, 227, 45, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 227, 73, 236]}, {\"cell\": \"5.18\", \"bbox\": [89, 227, 105, 236]}, {\"cell\": \"4.84\", \"bbox\": [121, 227, 137, 236]}, {\"cell\": \"5.25\", \"bbox\": [153, 227, 169, 236]}, {\"cell\": \"Type of university\", \"bbox\": [1, 238, 57, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Public\", \"bbox\": [22, 250, 43, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 250, 73, 259]}, {\"cell\": \"4.89\", \"bbox\": [89, 250, 105, 259]}, {\"cell\": \"3.97\", \"bbox\": [121, 250, 137, 259]}, {\"cell\": \"4.61\", \"bbox\": [153, 250, 169, 259]}, {\"cell\": \"PI = 0.001;AP = 0.001;EE = 0.001;LCS = 0.001\", \"bbox\": [182, 247, 223, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Private\", \"bbox\": [22, 266, 46, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 266, 73, 275]}, {\"cell\": \"4.37\", \"bbox\": [89, 266, 105, 275]}, {\"cell\": \"3.42\", \"bbox\": [121, 266, 137, 275]}, {\"cell\": \"3.82\", \"bbox\": [153, 266, 169, 275]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4417984_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}627{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Kii-ALS/PDC (n = 13)</b></td><td><b>AD (n = 12)</b></td><td><b>PSP (n = 10)</b></td><td><b>FTLD (n = 10)</b></td><td><b>DLB (n = 10)</b></td></tr></thead><tbody><tr><td>MMSE total score (/30)</td><td>19.2 ± 6.4</td><td>[EMPTY_CELL]</td><td>23.2 ± 2.5*</td><td>22.0 ± 4.5</td><td>20.7 ± 1.3</td></tr><tr><td>Orientation (/10)</td><td>5.8 ± 3.3</td><td>[EMPTY_CELL]</td><td>8.0 ± 1.8</td><td>8.0 ± 0.6*</td><td>6.8 ± 1.6</td></tr><tr><td>Registration (/3)</td><td>2.9 ± 0.3</td><td>[EMPTY_CELL]</td><td>3.0 ± 0.0</td><td>3.0 ± 0.0</td><td>3.0 ± 0.0</td></tr><tr><td>Attention and calculation (/5)</td><td>1.8 ± 1.9</td><td>[EMPTY_CELL]</td><td>1.6 ± 0.9</td><td>1.7 ± 1.4</td><td>1.5 ± 1.1</td></tr><tr><td>Recall (/3)</td><td>0.6 ± 0.9</td><td>[EMPTY_CELL]</td><td>2.1 ± 1.0*</td><td>1.9 ± 0.9*</td><td>1.2 ± 1.1*</td></tr><tr><td>Language and praxis (/9)</td><td>7.9 ± 1.2</td><td>[EMPTY_CELL]</td><td>8.5 ± 1.1</td><td>7.9 ± 0.9</td><td>8.1 ± 1.1</td></tr><tr><td>RCPM</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Total score (/36)</td><td>19.3 ± 6.8</td><td>[EMPTY_CELL]</td><td>21.2 ± 4.1</td><td>22.0 ± 4.4</td><td>19.3 ± 6.8</td></tr><tr><td> Time (min sec)</td><td>14 37 ± 10 19</td><td>[EMPTY_CELL]</td><td>12 56 ± 9 38</td><td>9 22 ± 3 51*</td><td>12 52 ± 6 39</td></tr><tr><td>Verbal fluency</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Semantic category</td><td>7.6 ± 3.2</td><td>[EMPTY_CELL]</td><td>6.4 ± 2.9</td><td>7.8 ± 3.2</td><td>9.1 ± 3.2</td></tr><tr><td> Letter category</td><td>3.6 ± 2.0</td><td>[EMPTY_CELL]</td><td>5.1 ± 2.6</td><td>4.5 ± 2.2</td><td>4.4 ± 1.7</td></tr><tr><td>PAWLT (/10)</td><td>5.0 ± 3.2</td><td>[EMPTY_CELL]</td><td>7.1 ± 1.6*</td><td>6.0 ± 2.8</td><td>6.5 ± 3.5</td></tr><tr><td>FAB (/18)</td><td>8.0 ± 5.5</td><td>[EMPTY_CELL]</td><td>12.0 ± 2.2</td><td>10.0 ± 2.2</td><td>12.3 ± 2.6</td></tr><tr><td>[EMPTY_CELL]</td><td>(9 of 13 patients)</td><td>[EMPTY_CELL]</td><td>(4 of 10)</td><td>(4 of 10)</td><td>(3 of 10)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Kii-ALS/PDC (n = 13)</b>\", \"bbox\": [129, 4, 173, 22]}, {\"cell\": \"<b>AD (n = 12)</b>\", \"bbox\": [218, 4, 246, 22]}, {\"cell\": \"<b>PSP (n = 10)</b>\", \"bbox\": [291, 4, 318, 22]}, {\"cell\": \"<b>FTLD (n = 10)</b>\", \"bbox\": [366, 4, 394, 22]}, {\"cell\": \"<b>DLB (n = 10)</b>\", \"bbox\": [441, 4, 469, 22]}, {\"cell\": \"MMSE total score (/30)\", \"bbox\": [1, 26, 75, 36]}, {\"cell\": \"19.2 ± 6.4\", \"bbox\": [129, 26, 161, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 26, 253, 36]}, {\"cell\": \"23.2 ± 2.5*\", \"bbox\": [291, 26, 326, 36]}, {\"cell\": \"22.0 ± 4.5\", \"bbox\": [366, 26, 398, 36]}, {\"cell\": \"20.7 ± 1.3\", \"bbox\": [441, 26, 473, 36]}, {\"cell\": \"Orientation (/10)\", \"bbox\": [1, 40, 55, 50]}, {\"cell\": \"5.8 ± 3.3\", \"bbox\": [129, 40, 157, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 40, 249, 50]}, {\"cell\": \"8.0 ± 1.8\", \"bbox\": [291, 40, 319, 50]}, {\"cell\": \"8.0 ± 0.6*\", \"bbox\": [366, 40, 397, 50]}, {\"cell\": \"6.8 ± 1.6\", \"bbox\": [441, 40, 469, 50]}, {\"cell\": \"Registration (/3)\", \"bbox\": [1, 54, 53, 64]}, {\"cell\": \"2.9 ± 0.3\", \"bbox\": [129, 54, 157, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 54, 246, 64]}, {\"cell\": \"3.0 ± 0.0\", \"bbox\": [291, 54, 319, 64]}, {\"cell\": \"3.0 ± 0.0\", \"bbox\": [366, 54, 394, 64]}, {\"cell\": \"3.0 ± 0.0\", \"bbox\": [441, 54, 469, 64]}, {\"cell\": \"Attention and calculation (/5)\", \"bbox\": [1, 68, 97, 78]}, {\"cell\": \"1.8 ± 1.9\", \"bbox\": [129, 68, 157, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 68, 246, 78]}, {\"cell\": \"1.6 ± 0.9\", \"bbox\": [291, 68, 319, 78]}, {\"cell\": \"1.7 ± 1.4\", \"bbox\": [366, 68, 394, 78]}, {\"cell\": \"1.5 ± 1.1\", \"bbox\": [441, 68, 469, 78]}, {\"cell\": \"Recall (/3)\", \"bbox\": [1, 82, 34, 92]}, {\"cell\": \"0.6 ± 0.9\", \"bbox\": [129, 82, 157, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 82, 246, 92]}, {\"cell\": \"2.1 ± 1.0*\", \"bbox\": [291, 82, 322, 92]}, {\"cell\": \"1.9 ± 0.9*\", \"bbox\": [366, 82, 397, 92]}, {\"cell\": \"1.2 ± 1.1*\", \"bbox\": [441, 82, 472, 92]}, {\"cell\": \"Language and praxis (/9)\", \"bbox\": [1, 96, 82, 106]}, {\"cell\": \"7.9 ± 1.2\", \"bbox\": [129, 96, 157, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 96, 246, 106]}, {\"cell\": \"8.5 ± 1.1\", \"bbox\": [291, 96, 319, 106]}, {\"cell\": \"7.9 ± 0.9\", \"bbox\": [366, 96, 394, 106]}, {\"cell\": \"8.1 ± 1.1\", \"bbox\": [441, 96, 469, 106]}, {\"cell\": \"RCPM\", \"bbox\": [1, 110, 21, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Total score (/36)\", \"bbox\": [8, 124, 62, 134]}, {\"cell\": \"19.3 ± 6.8\", \"bbox\": [129, 124, 161, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 124, 250, 134]}, {\"cell\": \"21.2 ± 4.1\", \"bbox\": [291, 124, 322, 134]}, {\"cell\": \"22.0 ± 4.4\", \"bbox\": [366, 124, 398, 134]}, {\"cell\": \"19.3 ± 6.8\", \"bbox\": [441, 124, 473, 134]}, {\"cell\": \" Time (min sec)\", \"bbox\": [8, 138, 58, 148]}, {\"cell\": \"14 37 ± 10 19\", \"bbox\": [129, 138, 176, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 138, 258, 148]}, {\"cell\": \"12 56 ± 9 38\", \"bbox\": [291, 138, 334, 148]}, {\"cell\": \"9 22 ± 3 51*\", \"bbox\": [366, 138, 409, 148]}, {\"cell\": \"12 52 ± 6 39\", \"bbox\": [441, 138, 484, 148]}, {\"cell\": \"Verbal fluency\", \"bbox\": [1, 152, 48, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Semantic category\", \"bbox\": [8, 166, 70, 176]}, {\"cell\": \"7.6 ± 3.2\", \"bbox\": [129, 166, 157, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 166, 246, 176]}, {\"cell\": \"6.4 ± 2.9\", \"bbox\": [291, 166, 319, 176]}, {\"cell\": \"7.8 ± 3.2\", \"bbox\": [366, 166, 394, 176]}, {\"cell\": \"9.1 ± 3.2\", \"bbox\": [441, 166, 469, 176]}, {\"cell\": \" Letter category\", \"bbox\": [8, 180, 59, 190]}, {\"cell\": \"3.6 ± 2.0\", \"bbox\": [129, 180, 157, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 180, 249, 190]}, {\"cell\": \"5.1 ± 2.6\", \"bbox\": [291, 180, 319, 190]}, {\"cell\": \"4.5 ± 2.2\", \"bbox\": [366, 180, 394, 190]}, {\"cell\": \"4.4 ± 1.7\", \"bbox\": [441, 180, 469, 190]}, {\"cell\": \"PAWLT (/10)\", \"bbox\": [1, 194, 42, 204]}, {\"cell\": \"5.0 ± 3.2\", \"bbox\": [129, 194, 157, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 194, 246, 204]}, {\"cell\": \"7.1 ± 1.6*\", \"bbox\": [291, 194, 322, 204]}, {\"cell\": \"6.0 ± 2.8\", \"bbox\": [366, 194, 394, 204]}, {\"cell\": \"6.5 ± 3.5\", \"bbox\": [441, 194, 469, 204]}, {\"cell\": \"FAB (/18)\", \"bbox\": [1, 208, 32, 218]}, {\"cell\": \"8.0 ± 5.5\", \"bbox\": [129, 208, 157, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 208, 253, 218]}, {\"cell\": \"12.0 ± 2.2\", \"bbox\": [291, 208, 322, 218]}, {\"cell\": \"10.0 ± 2.2\", \"bbox\": [366, 208, 398, 218]}, {\"cell\": \"12.3 ± 2.6\", \"bbox\": [441, 208, 473, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(9 of 13 patients)\", \"bbox\": [129, 222, 186, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 222, 247, 232]}, {\"cell\": \"(4 of 10)\", \"bbox\": [291, 222, 320, 232]}, {\"cell\": \"(4 of 10)\", \"bbox\": [366, 222, 395, 232]}, {\"cell\": \"(3 of 10)\", \"bbox\": [441, 222, 470, 232]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4107997_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}628{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>VARIABLE</b></td><td colspan=\\\"3\\\"><b>FUTS</b></td><td colspan=\\\"3\\\"><b>SUTS</b></td><td colspan=\\\"3\\\"><b>HSI</b></td></tr><tr><td><b>Mean (s.d)</b></td><td><b>d.f</b></td><td><b>P-value</b></td><td><b>Mean (s.d)</b></td><td><b>d.f</b></td><td><b>P-value</b></td><td><b>Mean (s.d)</b></td><td><b>d.f</b></td><td><b>P-value</b></td></tr></thead><tbody><tr><td>Age</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Quintile 1</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>0.3035</td><td>3.6 (1.1)</td><td>4</td><td>0.9768</td><td>2.9 (1.5)</td><td>4</td><td><0.01</td></tr><tr><td>Quintile 2</td><td>3.4 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2.7 (1.6 )</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Quintile 3</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.6 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.3 (1.5)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Quintile 4</td><td>3.6 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.6 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.6 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Quintile 5</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.6 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.5 (1.5)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Male</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>0.6899</td><td>3.5 (1.1)</td><td>2439</td><td>0.2456</td><td>3.2 (1.6)</td><td>2466</td><td>0.2637</td></tr><tr><td>Female</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.6 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.2 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Ethnicity</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>White</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>0.7406</td><td>3.6 (1.1)</td><td>3</td><td>0.7051</td><td>3.2 (1.6)</td><td>3</td><td><0.01</td></tr><tr><td>Black/mixed</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.7 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2.8 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Asian/mixed</td><td>3.5 (1.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.5 (1.0)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2.7 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Other</td><td>3.4 (1.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.7 (1.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.2 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>IMD score</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Quintile 1</td><td>3.4 (1.2)</td><td>[EMPTY_CELL]</td><td>0.0618</td><td>3.6 (1.2)</td><td>4</td><td>0.1203</td><td>2.9 (1.6)</td><td>4</td><td><0.01</td></tr><tr><td>Quintile 2</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.0 (1.6 )</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Quintile 3</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.6 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.2 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Quintile 4</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.4 (1.5)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Quintile 5</td><td>3.6 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.7 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.5 (1.5)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Smoker in same household</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.2 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>3.6 (1.2)</td><td>[EMPTY_CELL]</td><td><0.05</td><td>3.6 (1.1)</td><td>2478</td><td>0.2063</td><td>3.3 (1.6)</td><td>2505</td><td><0.05</td></tr><tr><td>Free prescription entitlement</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>3.4 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.4 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2.9 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>3.6 (1.2)</td><td>[EMPTY_CELL]</td><td><0.01</td><td>3.6 (1.2)</td><td>2456</td><td><0.01</td><td>3.4 (1.5)</td><td>2483</td><td><0.01</td></tr><tr><td>Quit attempt in last 12 months</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.2 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>3.6 (1.1)</td><td>[EMPTY_CELL]</td><td>0.0621</td><td>3.7 (1.1)</td><td>2475</td><td><0.01</td><td>3.2 (1.6)</td><td>2501</td><td>0.2932</td></tr><tr><td>Cessation support last quit attempt</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.1 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>3.7 (1.1)</td><td>[EMPTY_CELL]</td><td><0.01</td><td>3.7 (1.1)</td><td>2482</td><td><0.01</td><td>3.4 (1.5)</td><td>2509</td><td><0.01</td></tr><tr><td>Current cessation support</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.2 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>3.6 (1.2)</td><td>[EMPTY_CELL]</td><td>0.2969</td><td>3.6 (1.1)</td><td>2482</td><td>0.3838</td><td>3.4 (1.5)</td><td>2509</td><td><0.01</td></tr><tr><td>Trial intervention</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Reactive support without NRT</td><td>3.6 (1.2)</td><td>[EMPTY_CELL]</td><td>0.7149</td><td>3.5 (1.2)</td><td>3</td><td>0.6796</td><td>3.2 (1.6)</td><td>3</td><td>0.9512</td></tr><tr><td>Reactive support with NRT</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.6 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.2 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Proactive support without NRT</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.5 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.2 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Proactive support with NRT</td><td>3.5 (1.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.6 (1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3.2 (1.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>VARIABLE</b>\", \"bbox\": [1, 4, 36, 13]}, {\"cell\": \"<b>FUTS</b>\", \"bbox\": [128, 4, 148, 13]}, {\"cell\": \"<b>SUTS</b>\", \"bbox\": [256, 4, 276, 13]}, {\"cell\": \"<b>HSI</b>\", \"bbox\": [377, 4, 390, 13]}, {\"cell\": \"<b>Mean (s.d)</b>\", \"bbox\": [128, 17, 166, 26]}, {\"cell\": \"<b>d.f</b>\", \"bbox\": [179, 17, 190, 26]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [216, 17, 244, 26]}, {\"cell\": \"<b>Mean (s.d)</b>\", \"bbox\": [256, 17, 294, 26]}, {\"cell\": \"<b>d.f</b>\", \"bbox\": [307, 17, 318, 26]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [337, 17, 364, 26]}, {\"cell\": \"<b>Mean (s.d)</b>\", \"bbox\": [377, 17, 414, 26]}, {\"cell\": \"<b>d.f</b>\", \"bbox\": [427, 17, 438, 26]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [457, 17, 484, 26]}, {\"cell\": \"Age\", \"bbox\": [1, 30, 15, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 1\", \"bbox\": [1, 44, 34, 54]}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [128, 44, 155, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 44, 203, 54]}, {\"cell\": \"0.3035\", \"bbox\": [216, 44, 239, 54]}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 44, 283, 54]}, {\"cell\": \"4\", \"bbox\": [307, 44, 312, 54]}, {\"cell\": \"0.9768\", \"bbox\": [337, 44, 359, 54]}, {\"cell\": \"2.9 (1.5)\", \"bbox\": [377, 44, 403, 54]}, {\"cell\": \"4\", \"bbox\": [427, 44, 433, 54]}, {\"cell\": \"<0.01\", \"bbox\": [457, 44, 477, 54]}, {\"cell\": \"Quintile 2\", \"bbox\": [1, 58, 34, 68]}, {\"cell\": \"3.4 (1.1)\", \"bbox\": [128, 58, 155, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [256, 58, 283, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.7 (1.6 )\", \"bbox\": [377, 58, 405, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 3\", \"bbox\": [1, 72, 34, 82]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 72, 155, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [256, 72, 283, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.3 (1.5)\", \"bbox\": [377, 72, 403, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 4\", \"bbox\": [1, 86, 34, 96]}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [128, 86, 155, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 86, 283, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.6 (1.6)\", \"bbox\": [377, 86, 403, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 5\", \"bbox\": [1, 100, 34, 110]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 100, 155, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 100, 283, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.5)\", \"bbox\": [377, 100, 403, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender\", \"bbox\": [1, 114, 26, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [1, 128, 18, 138]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 128, 155, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 128, 196, 138]}, {\"cell\": \"0.6899\", \"bbox\": [216, 128, 239, 138]}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [256, 128, 283, 138]}, {\"cell\": \"2439\", \"bbox\": [307, 128, 324, 138]}, {\"cell\": \"0.2456\", \"bbox\": [337, 128, 359, 138]}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 128, 403, 138]}, {\"cell\": \"2466\", \"bbox\": [427, 128, 444, 138]}, {\"cell\": \"0.2637\", \"bbox\": [457, 128, 479, 138]}, {\"cell\": \"Female\", \"bbox\": [1, 142, 26, 152]}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [128, 142, 155, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 142, 283, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 142, 403, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ethnicity\", \"bbox\": [1, 156, 30, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"White\", \"bbox\": [1, 170, 21, 180]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 170, 155, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 170, 203, 180]}, {\"cell\": \"0.7406\", \"bbox\": [216, 170, 239, 180]}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 170, 283, 180]}, {\"cell\": \"3\", \"bbox\": [307, 170, 312, 180]}, {\"cell\": \"0.7051\", \"bbox\": [337, 170, 359, 180]}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 170, 403, 180]}, {\"cell\": \"3\", \"bbox\": [427, 170, 433, 180]}, {\"cell\": \"<0.01\", \"bbox\": [457, 170, 477, 180]}, {\"cell\": \"Black/mixed\", \"bbox\": [1, 184, 41, 194]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 184, 155, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.7 (1.2)\", \"bbox\": [256, 184, 283, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.8 (1.6)\", \"bbox\": [377, 184, 403, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Asian/mixed\", \"bbox\": [1, 198, 42, 208]}, {\"cell\": \"3.5 (1.3)\", \"bbox\": [128, 198, 155, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.0)\", \"bbox\": [256, 198, 283, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.7 (1.6)\", \"bbox\": [377, 198, 403, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other\", \"bbox\": [1, 212, 21, 222]}, {\"cell\": \"3.4 (1.3)\", \"bbox\": [128, 212, 155, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.7 (1.3)\", \"bbox\": [256, 212, 283, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 212, 403, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IMD score\", \"bbox\": [1, 226, 35, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 1\", \"bbox\": [1, 240, 34, 250]}, {\"cell\": \"3.4 (1.2)\", \"bbox\": [128, 240, 155, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 240, 203, 250]}, {\"cell\": \"0.0618\", \"bbox\": [216, 240, 239, 250]}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [256, 240, 283, 250]}, {\"cell\": \"4\", \"bbox\": [307, 240, 312, 250]}, {\"cell\": \"0.1203\", \"bbox\": [337, 240, 359, 250]}, {\"cell\": \"2.9 (1.6)\", \"bbox\": [377, 240, 403, 250]}, {\"cell\": \"4\", \"bbox\": [427, 240, 433, 250]}, {\"cell\": \"<0.01\", \"bbox\": [457, 240, 477, 250]}, {\"cell\": \"Quintile 2\", \"bbox\": [1, 254, 34, 264]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 254, 155, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [256, 254, 283, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.0 (1.6 )\", \"bbox\": [377, 254, 405, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 3\", \"bbox\": [1, 268, 34, 278]}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [128, 268, 155, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 268, 283, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 268, 403, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 4\", \"bbox\": [1, 282, 34, 292]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 282, 155, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [256, 282, 283, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.4 (1.5)\", \"bbox\": [377, 282, 403, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quintile 5\", \"bbox\": [1, 296, 34, 306]}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [128, 296, 155, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.7 (1.2)\", \"bbox\": [256, 296, 283, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.5)\", \"bbox\": [377, 296, 403, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smoker in same household\", \"bbox\": [1, 310, 90, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 324, 12, 334]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 324, 155, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [256, 324, 283, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 324, 403, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [1, 338, 13, 348]}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [128, 338, 155, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 338, 196, 348]}, {\"cell\": \"<0.05\", \"bbox\": [216, 338, 236, 348]}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 338, 283, 348]}, {\"cell\": \"2478\", \"bbox\": [307, 338, 324, 348]}, {\"cell\": \"0.2063\", \"bbox\": [337, 338, 359, 348]}, {\"cell\": \"3.3 (1.6)\", \"bbox\": [377, 338, 403, 348]}, {\"cell\": \"2505\", \"bbox\": [427, 338, 444, 348]}, {\"cell\": \"<0.05\", \"bbox\": [457, 338, 477, 348]}, {\"cell\": \"Free prescription entitlement\", \"bbox\": [1, 352, 96, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 366, 12, 376]}, {\"cell\": \"3.4 (1.1)\", \"bbox\": [128, 366, 155, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.4 (1.1)\", \"bbox\": [256, 366, 283, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.9 (1.6)\", \"bbox\": [377, 366, 403, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [1, 380, 13, 390]}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [128, 380, 155, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 380, 196, 390]}, {\"cell\": \"<0.01\", \"bbox\": [216, 380, 236, 390]}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [256, 380, 283, 390]}, {\"cell\": \"2456\", \"bbox\": [307, 380, 324, 390]}, {\"cell\": \"<0.01\", \"bbox\": [337, 380, 356, 390]}, {\"cell\": \"3.4 (1.5)\", \"bbox\": [377, 380, 403, 390]}, {\"cell\": \"2483\", \"bbox\": [427, 380, 444, 390]}, {\"cell\": \"<0.01\", \"bbox\": [457, 380, 477, 390]}, {\"cell\": \"Quit attempt in last 12 months\", \"bbox\": [1, 394, 102, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 408, 12, 418]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 408, 155, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [256, 408, 283, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 408, 403, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [1, 422, 13, 432]}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [128, 422, 155, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 422, 196, 432]}, {\"cell\": \"0.0621\", \"bbox\": [216, 422, 239, 432]}, {\"cell\": \"3.7 (1.1)\", \"bbox\": [256, 422, 283, 432]}, {\"cell\": \"2475\", \"bbox\": [307, 422, 324, 432]}, {\"cell\": \"<0.01\", \"bbox\": [337, 422, 356, 432]}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 422, 403, 432]}, {\"cell\": \"2501\", \"bbox\": [427, 422, 444, 432]}, {\"cell\": \"0.2932\", \"bbox\": [457, 422, 479, 432]}, {\"cell\": \"Cessation support last quit attempt\", \"bbox\": [1, 436, 116, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 450, 12, 460]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 450, 155, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [256, 450, 283, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.1 (1.6)\", \"bbox\": [377, 450, 403, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [1, 464, 13, 474]}, {\"cell\": \"3.7 (1.1)\", \"bbox\": [128, 464, 155, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 464, 196, 474]}, {\"cell\": \"<0.01\", \"bbox\": [216, 464, 236, 474]}, {\"cell\": \"3.7 (1.1)\", \"bbox\": [256, 464, 283, 474]}, {\"cell\": \"2482\", \"bbox\": [307, 464, 324, 474]}, {\"cell\": \"<0.01\", \"bbox\": [337, 464, 356, 474]}, {\"cell\": \"3.4 (1.5)\", \"bbox\": [377, 464, 403, 474]}, {\"cell\": \"2509\", \"bbox\": [427, 464, 444, 474]}, {\"cell\": \"<0.01\", \"bbox\": [457, 464, 477, 474]}, {\"cell\": \"Current cessation support\", \"bbox\": [1, 478, 85, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 492, 12, 502]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 492, 155, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.5 (1.1)\", \"bbox\": [256, 492, 283, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 492, 403, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [1, 506, 13, 516]}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [128, 506, 155, 516]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 506, 196, 516]}, {\"cell\": \"0.2969\", \"bbox\": [216, 506, 239, 516]}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 506, 283, 516]}, {\"cell\": \"2482\", \"bbox\": [307, 506, 324, 516]}, {\"cell\": \"0.3838\", \"bbox\": [337, 506, 359, 516]}, {\"cell\": \"3.4 (1.5)\", \"bbox\": [377, 506, 403, 516]}, {\"cell\": \"2509\", \"bbox\": [427, 506, 444, 516]}, {\"cell\": \"<0.01\", \"bbox\": [457, 506, 477, 516]}, {\"cell\": \"Trial intervention\", \"bbox\": [1, 520, 56, 530]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reactive support without NRT\", \"bbox\": [1, 534, 98, 544]}, {\"cell\": \"3.6 (1.2)\", \"bbox\": [128, 534, 155, 544]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 534, 184, 544]}, {\"cell\": \"0.7149\", \"bbox\": [216, 534, 239, 544]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [256, 534, 283, 544]}, {\"cell\": \"3\", \"bbox\": [307, 534, 312, 544]}, {\"cell\": \"0.6796\", \"bbox\": [337, 534, 359, 544]}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 534, 403, 544]}, {\"cell\": \"3\", \"bbox\": [427, 534, 433, 544]}, {\"cell\": \"0.9512\", \"bbox\": [457, 534, 479, 544]}, {\"cell\": \"Reactive support with NRT\", \"bbox\": [1, 548, 87, 558]}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [128, 548, 155, 558]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 548, 283, 558]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 548, 403, 558]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Proactive support without NRT\", \"bbox\": [1, 562, 101, 572]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 562, 155, 572]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.5 (1.1)\", \"bbox\": [256, 562, 283, 572]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 562, 403, 572]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Proactive support with NRT\", \"bbox\": [1, 576, 90, 586]}, {\"cell\": \"3.5 (1.2)\", \"bbox\": [128, 576, 155, 586]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.6 (1.1)\", \"bbox\": [256, 576, 283, 586]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.2 (1.6)\", \"bbox\": [377, 576, 403, 586]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4414292_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}629{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Number of pen samples by the categories of the outcome variable</b></td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Number of pen samples by the categories of the outcome variable</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td>[EMPTY_CELL]</td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td></tr><tr><td colspan=\\\"8\\\"><b>PEN VARIABLES</b></td></tr><tr><td><i>The pen has direct access to outside</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>1146</td><td>30</td><td>92</td><td>[EMPTY_CELL]</td><td><i>626</i></td><td><i>19</i></td><td><i>44</i></td></tr><tr><td>Yes</td><td>354</td><td>16</td><td>32</td><td>[EMPTY_CELL]</td><td>874</td><td>27</td><td>80</td></tr><tr><td><i>Individual pen</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>1194</td><td>41</td><td>98</td><td>[EMPTY_CELL]</td><td>229</td><td>7</td><td>27</td></tr><tr><td>Yes</td><td>306</td><td>5</td><td>24</td><td>[EMPTY_CELL]</td><td><i>1230</i></td><td><i>36</i></td><td><i>97</i></td></tr><tr><td>Missing observations</td><td><i>0</i></td><td><i>0</i></td><td><i>2</i></td><td>[EMPTY_CELL]</td><td>41</td><td>3</td><td>0</td></tr><tr><td><i>Diarrhoea in the last 3 months</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>1445</td><td>45</td><td>118</td><td>[EMPTY_CELL]</td><td>139</td><td>5</td><td>10</td></tr><tr><td>Yes</td><td><i>33</i></td><td><i>1</i></td><td><i>2</i></td><td>[EMPTY_CELL]</td><td>1361</td><td>41</td><td>114</td></tr><tr><td>Missing observations</td><td>22</td><td>0</td><td>4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Age of the breeding sows</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>199</td><td>8</td><td>8</td></tr><tr><td>Only gilts or gilts and others</td><td>874</td><td>38</td><td>73</td><td>[EMPTY_CELL]</td><td><i>1301</i></td><td><i>38</i></td><td><i>116</i></td></tr><tr><td>Without gilts</td><td>626</td><td>8</td><td>51</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Sex of the breeding pigs</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1291</td><td>38</td><td>111</td></tr><tr><td>Only females</td><td>1430</td><td>44</td><td>114</td><td>[EMPTY_CELL]</td><td><i>209</i></td><td><i>8</i></td><td><i>13</i></td></tr><tr><td>Males and females</td><td><i>70</i></td><td><i>2</i></td><td><i>10</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Breeding sector</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1229</td><td>45</td><td>103</td></tr><tr><td>Mating room</td><td>210</td><td>10</td><td>21</td><td>[EMPTY_CELL]</td><td><i>271</i></td><td><i>1</i></td><td><i>21</i></td></tr><tr><td>Gestation room</td><td>789</td><td>26</td><td>62</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Mixture of room</td><td>58</td><td>1</td><td>14</td><td>[EMPTY_CELL]</td><td>121</td><td>1</td><td>11</td></tr><tr><td>Farrowing room</td><td><i>390</i></td><td><i>7</i></td><td><i>22</i></td><td>[EMPTY_CELL]</td><td><i>1379</i></td><td><i>45</i></td><td><i>113</i></td></tr><tr><td>Replacement breeders</td><td><i>44</i></td><td><i>2</i></td><td><i>5</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1284</td><td>34</td><td>94</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>216</td><td>12</td><td>30</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of pen samples by the categories of the outcome variable</b>\", \"bbox\": [118, 4, 204, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of pen samples by the categories of the outcome variable</b>\", \"bbox\": [393, 4, 478, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>1</b>\", \"bbox\": [118, 35, 124, 45]}, {\"cell\": \"<b>2</b>\", \"bbox\": [154, 35, 160, 45]}, {\"cell\": \"<b>3</b>\", \"bbox\": [182, 35, 188, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>1</b>\", \"bbox\": [393, 35, 399, 45]}, {\"cell\": \"<b>2</b>\", \"bbox\": [428, 35, 435, 45]}, {\"cell\": \"<b>3</b>\", \"bbox\": [456, 35, 463, 45]}, {\"cell\": \"<b>PEN VARIABLES</b>\", \"bbox\": [1, 48, 57, 58]}, {\"cell\": \"<i>The pen has direct access to outside</i>\", \"bbox\": [1, 61, 114, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 61, 331, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [103, 74, 114, 84]}, {\"cell\": \"1146\", \"bbox\": [133, 74, 150, 84]}, {\"cell\": \"30\", \"bbox\": [168, 74, 178, 84]}, {\"cell\": \"92\", \"bbox\": [200, 74, 210, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [377, 74, 389, 84]}, {\"cell\": \"<i>626</i>\", \"bbox\": [411, 74, 424, 84]}, {\"cell\": \"<i>19</i>\", \"bbox\": [443, 74, 452, 84]}, {\"cell\": \"<i>44</i>\", \"bbox\": [475, 74, 484, 84]}, {\"cell\": \"Yes\", \"bbox\": [101, 88, 114, 97]}, {\"cell\": \"354\", \"bbox\": [136, 88, 150, 97]}, {\"cell\": \"16\", \"bbox\": [168, 88, 178, 97]}, {\"cell\": \"32\", \"bbox\": [200, 88, 210, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 88, 389, 97]}, {\"cell\": \"874\", \"bbox\": [411, 88, 424, 97]}, {\"cell\": \"27\", \"bbox\": [443, 88, 452, 97]}, {\"cell\": \"80\", \"bbox\": [475, 88, 484, 97]}, {\"cell\": \"<i>Individual pen</i>\", \"bbox\": [1, 101, 46, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 101, 230, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [103, 114, 114, 123]}, {\"cell\": \"1194\", \"bbox\": [133, 114, 150, 123]}, {\"cell\": \"41\", \"bbox\": [168, 114, 178, 123]}, {\"cell\": \"98\", \"bbox\": [200, 114, 210, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 114, 389, 123]}, {\"cell\": \"229\", \"bbox\": [411, 114, 424, 123]}, {\"cell\": \"7\", \"bbox\": [447, 114, 453, 123]}, {\"cell\": \"27\", \"bbox\": [475, 114, 484, 123]}, {\"cell\": \"Yes\", \"bbox\": [101, 127, 114, 137]}, {\"cell\": \"306\", \"bbox\": [136, 127, 150, 137]}, {\"cell\": \"5\", \"bbox\": [172, 127, 178, 137]}, {\"cell\": \"24\", \"bbox\": [200, 127, 210, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 127, 389, 137]}, {\"cell\": \"<i>1230</i>\", \"bbox\": [408, 127, 424, 137]}, {\"cell\": \"<i>36</i>\", \"bbox\": [443, 127, 452, 137]}, {\"cell\": \"<i>97</i>\", \"bbox\": [475, 127, 484, 137]}, {\"cell\": \"Missing observations\", \"bbox\": [46, 140, 114, 150]}, {\"cell\": \"<i>0</i>\", \"bbox\": [144, 140, 150, 150]}, {\"cell\": \"<i>0</i>\", \"bbox\": [172, 140, 178, 150]}, {\"cell\": \"<i>2</i>\", \"bbox\": [204, 140, 210, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 140, 389, 150]}, {\"cell\": \"41\", \"bbox\": [415, 140, 424, 150]}, {\"cell\": \"3\", \"bbox\": [447, 140, 453, 150]}, {\"cell\": \"0\", \"bbox\": [479, 140, 484, 150]}, {\"cell\": \"<i>Diarrhoea in the last 3 months</i>\", \"bbox\": [1, 153, 98, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 153, 231, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [103, 167, 114, 176]}, {\"cell\": \"1445\", \"bbox\": [133, 167, 150, 176]}, {\"cell\": \"45\", \"bbox\": [168, 167, 178, 176]}, {\"cell\": \"118\", \"bbox\": [196, 167, 210, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 167, 389, 176]}, {\"cell\": \"139\", \"bbox\": [411, 167, 424, 176]}, {\"cell\": \"5\", \"bbox\": [447, 167, 453, 176]}, {\"cell\": \"10\", \"bbox\": [475, 167, 484, 176]}, {\"cell\": \"Yes\", \"bbox\": [101, 180, 114, 189]}, {\"cell\": \"<i>33</i>\", \"bbox\": [141, 180, 150, 189]}, {\"cell\": \"<i>1</i>\", \"bbox\": [172, 180, 178, 189]}, {\"cell\": \"<i>2</i>\", \"bbox\": [204, 180, 210, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 180, 389, 189]}, {\"cell\": \"1361\", \"bbox\": [407, 180, 424, 189]}, {\"cell\": \"41\", \"bbox\": [443, 180, 452, 189]}, {\"cell\": \"114\", \"bbox\": [471, 180, 484, 189]}, {\"cell\": \"Missing observations\", \"bbox\": [46, 193, 114, 202]}, {\"cell\": \"22\", \"bbox\": [140, 193, 150, 202]}, {\"cell\": \"0\", \"bbox\": [172, 193, 178, 202]}, {\"cell\": \"4\", \"bbox\": [204, 193, 210, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 193, 260, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Age of the breeding sows</i>\", \"bbox\": [1, 206, 81, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [337, 206, 389, 216]}, {\"cell\": \"199\", \"bbox\": [411, 206, 424, 216]}, {\"cell\": \"8\", \"bbox\": [447, 206, 453, 216]}, {\"cell\": \"8\", \"bbox\": [479, 206, 484, 216]}, {\"cell\": \"Only gilts or gilts and others\", \"bbox\": [21, 219, 114, 229]}, {\"cell\": \"874\", \"bbox\": [136, 219, 150, 229]}, {\"cell\": \"38\", \"bbox\": [168, 219, 178, 229]}, {\"cell\": \"73\", \"bbox\": [200, 219, 210, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [331, 219, 389, 229]}, {\"cell\": \"<i>1301</i>\", \"bbox\": [408, 219, 424, 229]}, {\"cell\": \"<i>38</i>\", \"bbox\": [443, 219, 452, 229]}, {\"cell\": \"<i>116</i>\", \"bbox\": [471, 219, 484, 229]}, {\"cell\": \"Without gilts\", \"bbox\": [71, 232, 114, 242]}, {\"cell\": \"626\", \"bbox\": [136, 232, 150, 242]}, {\"cell\": \"8\", \"bbox\": [172, 232, 178, 242]}, {\"cell\": \"51\", \"bbox\": [200, 232, 210, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 232, 389, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Sex of the breeding pigs</i>\", \"bbox\": [1, 245, 77, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [377, 245, 389, 255]}, {\"cell\": \"1291\", \"bbox\": [407, 245, 424, 255]}, {\"cell\": \"38\", \"bbox\": [443, 245, 452, 255]}, {\"cell\": \"111\", \"bbox\": [471, 245, 484, 255]}, {\"cell\": \"Only females\", \"bbox\": [71, 259, 114, 268]}, {\"cell\": \"1430\", \"bbox\": [133, 259, 150, 268]}, {\"cell\": \"44\", \"bbox\": [168, 259, 178, 268]}, {\"cell\": \"114\", \"bbox\": [196, 259, 210, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 259, 389, 268]}, {\"cell\": \"<i>209</i>\", \"bbox\": [411, 259, 424, 268]}, {\"cell\": \"<i>8</i>\", \"bbox\": [447, 259, 453, 268]}, {\"cell\": \"<i>13</i>\", \"bbox\": [475, 259, 484, 268]}, {\"cell\": \"Males and females\", \"bbox\": [53, 272, 114, 281]}, {\"cell\": \"<i>70</i>\", \"bbox\": [118, 272, 128, 281]}, {\"cell\": \"<i>2</i>\", \"bbox\": [154, 272, 160, 281]}, {\"cell\": \"<i>10</i>\", \"bbox\": [182, 272, 191, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 272, 364, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Breeding sector</i>\", \"bbox\": [0, 285, 49, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [377, 285, 389, 294]}, {\"cell\": \"1229\", \"bbox\": [407, 285, 424, 294]}, {\"cell\": \"45\", \"bbox\": [443, 285, 452, 294]}, {\"cell\": \"103\", \"bbox\": [471, 285, 484, 294]}, {\"cell\": \"Mating room\", \"bbox\": [70, 298, 114, 308]}, {\"cell\": \"210\", \"bbox\": [136, 298, 150, 308]}, {\"cell\": \"10\", \"bbox\": [168, 298, 178, 308]}, {\"cell\": \"21\", \"bbox\": [200, 298, 210, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 298, 389, 308]}, {\"cell\": \"<i>271</i>\", \"bbox\": [411, 298, 424, 308]}, {\"cell\": \"<i>1</i>\", \"bbox\": [447, 298, 453, 308]}, {\"cell\": \"<i>21</i>\", \"bbox\": [475, 298, 484, 308]}, {\"cell\": \"Gestation room\", \"bbox\": [62, 311, 114, 321]}, {\"cell\": \"789\", \"bbox\": [136, 311, 150, 321]}, {\"cell\": \"26\", \"bbox\": [168, 311, 178, 321]}, {\"cell\": \"62\", \"bbox\": [200, 311, 210, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 311, 325, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Mixture of room\", \"bbox\": [60, 324, 114, 334]}, {\"cell\": \"58\", \"bbox\": [140, 324, 150, 334]}, {\"cell\": \"1\", \"bbox\": [172, 324, 178, 334]}, {\"cell\": \"14\", \"bbox\": [200, 324, 210, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [331, 324, 389, 334]}, {\"cell\": \"121\", \"bbox\": [411, 324, 424, 334]}, {\"cell\": \"1\", \"bbox\": [447, 324, 453, 334]}, {\"cell\": \"11\", \"bbox\": [475, 324, 484, 334]}, {\"cell\": \"Farrowing room\", \"bbox\": [60, 337, 114, 347]}, {\"cell\": \"<i>390</i>\", \"bbox\": [137, 337, 150, 347]}, {\"cell\": \"<i>7</i>\", \"bbox\": [172, 337, 178, 347]}, {\"cell\": \"<i>22</i>\", \"bbox\": [201, 337, 210, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 337, 389, 347]}, {\"cell\": \"<i>1379</i>\", \"bbox\": [408, 337, 424, 347]}, {\"cell\": \"<i>45</i>\", \"bbox\": [443, 337, 452, 347]}, {\"cell\": \"<i>113</i>\", \"bbox\": [471, 337, 484, 347]}, {\"cell\": \"Replacement breeders\", \"bbox\": [40, 351, 114, 360]}, {\"cell\": \"<i>44</i>\", \"bbox\": [118, 351, 128, 360]}, {\"cell\": \"<i>2</i>\", \"bbox\": [154, 351, 160, 360]}, {\"cell\": \"<i>5</i>\", \"bbox\": [182, 351, 188, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 351, 389, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 364, 389, 373]}, {\"cell\": \"1284\", \"bbox\": [407, 364, 424, 373]}, {\"cell\": \"34\", \"bbox\": [443, 364, 452, 373]}, {\"cell\": \"94\", \"bbox\": [475, 364, 484, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [374, 377, 389, 386]}, {\"cell\": \"216\", \"bbox\": [411, 377, 424, 386]}, {\"cell\": \"12\", \"bbox\": [443, 377, 452, 386]}, {\"cell\": \"30\", \"bbox\": [475, 377, 484, 386]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3514327_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}630{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Test</b></td><td><b>Patient Values</b></td><td><b>Reference Ranges</b></td></tr></thead><tbody><tr><td>Calcium</td><td>22.8 mg/dL (5.7 mmol/L)</td><td>[EMPTY_CELL]</td></tr><tr><td>Albumin</td><td>4.6 g/dL (46 g/L)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total protein</td><td>8.5 g/dL (85 g/L)</td><td>[EMPTY_CELL]</td></tr><tr><td>WBC count</td><td>10.6 × 109/L</td><td>[EMPTY_CELL]</td></tr><tr><td>Haemoglobin</td><td>10.9 g/dL (109 g/L)</td><td>[EMPTY_CELL]</td></tr><tr><td>Haematocrit</td><td>31.4% (0.314)</td><td>[EMPTY_CELL]</td></tr><tr><td>ESR</td><td>30 mm/hr</td><td>[EMPTY_CELL]</td></tr><tr><td>Iron saturation</td><td>10.10%</td><td>[EMPTY_CELL]</td></tr><tr><td>Sodium</td><td>133 mmol/L</td><td>[EMPTY_CELL]</td></tr><tr><td>Potassium</td><td>2.6 mmol/L</td><td>[EMPTY_CELL]</td></tr><tr><td>Chloride</td><td>93 mmol/L</td><td>[EMPTY_CELL]</td></tr><tr><td>Bicarbonate</td><td>36 mmol/L</td><td>[EMPTY_CELL]</td></tr><tr><td>Blood urea nitrogen</td><td>48 mg/dL</td><td>[EMPTY_CELL]</td></tr><tr><td>Creatinine</td><td>2.1 mg/dL (186 μmol/L)</td><td>[EMPTY_CELL]</td></tr><tr><td>Magnesium</td><td>1.5 mg/dL (0.62 mmol/L)</td><td>[EMPTY_CELL]</td></tr><tr><td>Phosphate</td><td>2.9 mg/dL (0.94 mmol/L)</td><td>[EMPTY_CELL]</td></tr><tr><td>Alkaline phosphatase</td><td>137 U/L</td><td>[EMPTY_CELL]</td></tr><tr><td>TSH</td><td>89.8 mIU/mL</td><td>[EMPTY_CELL]</td></tr><tr><td>Free T4</td><td>0.65 ug/dL (8.4 pmol/L)</td><td>[EMPTY_CELL]</td></tr><tr><td>CPK</td><td>473 U/L</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Test</b>\", \"bbox\": [5, 4, 22, 14]}, {\"cell\": \"<b>Patient Values</b>\", \"bbox\": [60, 4, 107, 14]}, {\"cell\": \"<b>Reference Ranges</b>\", \"bbox\": [157, 4, 216, 14]}, {\"cell\": \"Calcium\", \"bbox\": [5, 21, 33, 30]}, {\"cell\": \"22.8 mg/dL (5.7 mmol/L)\", \"bbox\": [60, 21, 143, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 21, 201, 30]}, {\"cell\": \"Albumin\", \"bbox\": [5, 30, 34, 39]}, {\"cell\": \"4.6 g/dL (46 g/L)\", \"bbox\": [60, 30, 116, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 30, 197, 39]}, {\"cell\": \"Total protein\", \"bbox\": [5, 39, 50, 48]}, {\"cell\": \"8.5 g/dL (85 g/L)\", \"bbox\": [60, 39, 116, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 39, 197, 48]}, {\"cell\": \"WBC count\", \"bbox\": [5, 48, 47, 57]}, {\"cell\": \"10.6 × 109/L\", \"bbox\": [60, 48, 104, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 48, 213, 57]}, {\"cell\": \"Haemoglobin\", \"bbox\": [5, 57, 50, 66]}, {\"cell\": \"10.9 g/dL (109 g/L)\", \"bbox\": [60, 57, 124, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 57, 205, 66]}, {\"cell\": \"Haematocrit\", \"bbox\": [5, 66, 47, 75]}, {\"cell\": \"31.4% (0.314)\", \"bbox\": [60, 66, 107, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 66, 194, 75]}, {\"cell\": \"ESR\", \"bbox\": [5, 75, 20, 84]}, {\"cell\": \"30 mm/hr\", \"bbox\": [60, 75, 94, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 75, 198, 84]}, {\"cell\": \"Iron saturation\", \"bbox\": [5, 84, 39, 102]}, {\"cell\": \"10.10%\", \"bbox\": [60, 84, 85, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 84, 183, 93]}, {\"cell\": \"Sodium\", \"bbox\": [5, 101, 31, 111]}, {\"cell\": \"133 mmol/L\", \"bbox\": [60, 101, 101, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 101, 212, 111]}, {\"cell\": \"Potassium\", \"bbox\": [5, 110, 40, 120]}, {\"cell\": \"2.6 mmol/L\", \"bbox\": [60, 110, 99, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 110, 208, 120]}, {\"cell\": \"Chloride\", \"bbox\": [5, 119, 36, 129]}, {\"cell\": \"93 mmol/L\", \"bbox\": [60, 119, 97, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 119, 208, 129]}, {\"cell\": \"Bicarbonate\", \"bbox\": [5, 128, 45, 138]}, {\"cell\": \"36 mmol/L\", \"bbox\": [60, 128, 97, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 128, 204, 138]}, {\"cell\": \"Blood urea nitrogen\", \"bbox\": [5, 137, 43, 156]}, {\"cell\": \"48 mg/dL\", \"bbox\": [60, 137, 92, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 137, 207, 147]}, {\"cell\": \"Creatinine\", \"bbox\": [5, 155, 41, 165]}, {\"cell\": \"2.1 mg/dL (186 μmol/L)\", \"bbox\": [60, 155, 139, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 155, 203, 165]}, {\"cell\": \"Magnesium\", \"bbox\": [5, 164, 43, 174]}, {\"cell\": \"1.5 mg/dL (0.62 mmol/L)\", \"bbox\": [60, 164, 143, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 164, 203, 174]}, {\"cell\": \"Phosphate\", \"bbox\": [5, 173, 40, 183]}, {\"cell\": \"2.9 mg/dL (0.94 mmol/L)\", \"bbox\": [60, 173, 143, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 173, 203, 183]}, {\"cell\": \"Alkaline phosphatase\", \"bbox\": [5, 182, 47, 201]}, {\"cell\": \"137 U/L\", \"bbox\": [60, 182, 88, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 182, 196, 192]}, {\"cell\": \"TSH\", \"bbox\": [5, 200, 22, 210]}, {\"cell\": \"89.8 mIU/mL\", \"bbox\": [60, 200, 104, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 200, 209, 210]}, {\"cell\": \"Free T4\", \"bbox\": [5, 209, 33, 219]}, {\"cell\": \"0.65 ug/dL (8.4 pmol/L)\", \"bbox\": [60, 209, 138, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 209, 209, 219]}, {\"cell\": \"CPK\", \"bbox\": [5, 218, 22, 227]}, {\"cell\": \"473 U/L\", \"bbox\": [60, 218, 88, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 218, 196, 227]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2827131_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}631{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Verbal Memory Process</b></td><td colspan=\\\"2\\\"><b>Verbal Delayed Index (CMS)</b></td><td colspan=\\\"2\\\"><b>Vocabulary (WISC-IV)</b></td><td colspan=\\\"2\\\"><b>Similarities (WISC-IV)</b></td><td colspan=\\\"2\\\"><b>Comprehension (WISC-IV)</b></td></tr></thead><tbody><tr><td><i>CMS Score</i></td><td>[EMPTY_CELL]</td><td><i>n</i></td><td><i>r</i></td><td><i>n</i></td><td><i>r</i></td><td><i>n</i></td><td><i>r</i></td><td><i>n</i></td></tr><tr><td>Encoding<i>Immediate Memory</i></td><td>[EMPTY_CELL]</td><td>232</td><td>0.51 **</td><td>193</td><td>0.49 **</td><td>193</td><td>0.51 **</td><td>193</td></tr><tr><td>Retention<i>Retention</i></td><td>[EMPTY_CELL]</td><td>180</td><td>−0.03</td><td>150</td><td>0.10</td><td>150</td><td>−0.01</td><td>150</td></tr><tr><td>Retrieval<i>Delayed Memory Contrast</i></td><td>[EMPTY_CELL]</td><td>212</td><td>0.06</td><td>176</td><td>0.15 *</td><td>176</td><td>0.08</td><td>176</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Verbal Memory Process</b>\", \"bbox\": [8, 11, 123, 25]}, {\"cell\": \"<b>Verbal Delayed Index (CMS)</b>\", \"bbox\": [136, 3, 211, 33]}, {\"cell\": \"<b>Vocabulary (WISC-IV)</b>\", \"bbox\": [238, 3, 295, 33]}, {\"cell\": \"<b>Similarities (WISC-IV)</b>\", \"bbox\": [333, 3, 389, 33]}, {\"cell\": \"<b>Comprehension (WISC-IV)</b>\", \"bbox\": [416, 3, 492, 33]}, {\"cell\": \"<i>CMS Score</i>\", \"bbox\": [40, 36, 91, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 36, 159, 48]}, {\"cell\": \"<i>n</i>\", \"bbox\": [194, 36, 201, 48]}, {\"cell\": \"<i>r</i>\", \"bbox\": [242, 36, 248, 48]}, {\"cell\": \"<i>n</i>\", \"bbox\": [289, 36, 296, 48]}, {\"cell\": \"<i>r</i>\", \"bbox\": [337, 36, 343, 48]}, {\"cell\": \"<i>n</i>\", \"bbox\": [383, 36, 391, 48]}, {\"cell\": \"<i>r</i>\", \"bbox\": [430, 36, 436, 48]}, {\"cell\": \"<i>n</i>\", \"bbox\": [475, 36, 482, 48]}, {\"cell\": \"Encoding<i>Immediate Memory</i>\", \"bbox\": [22, 52, 109, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 59, 172, 71]}, {\"cell\": \"232\", \"bbox\": [188, 59, 207, 71]}, {\"cell\": \"0.51 **\", \"bbox\": [230, 59, 265, 71]}, {\"cell\": \"193\", \"bbox\": [283, 59, 302, 71]}, {\"cell\": \"0.49 **\", \"bbox\": [325, 59, 360, 71]}, {\"cell\": \"193\", \"bbox\": [378, 59, 396, 71]}, {\"cell\": \"0.51 **\", \"bbox\": [418, 59, 453, 71]}, {\"cell\": \"193\", \"bbox\": [470, 59, 488, 71]}, {\"cell\": \"Retention<i>Retention</i>\", \"bbox\": [43, 82, 88, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 89, 166, 101]}, {\"cell\": \"180\", \"bbox\": [188, 89, 207, 101]}, {\"cell\": \"−0.03\", \"bbox\": [231, 86, 259, 102]}, {\"cell\": \"150\", \"bbox\": [283, 89, 302, 101]}, {\"cell\": \"0.10\", \"bbox\": [332, 89, 353, 101]}, {\"cell\": \"150\", \"bbox\": [378, 89, 396, 101]}, {\"cell\": \"−0.01\", \"bbox\": [419, 86, 446, 102]}, {\"cell\": \"150\", \"bbox\": [470, 89, 488, 101]}, {\"cell\": \"Retrieval<i>Delayed Memory Contrast</i>\", \"bbox\": [27, 112, 105, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [137, 127, 172, 139]}, {\"cell\": \"212\", \"bbox\": [188, 127, 207, 139]}, {\"cell\": \"0.06\", \"bbox\": [237, 127, 258, 139]}, {\"cell\": \"176\", \"bbox\": [283, 127, 302, 139]}, {\"cell\": \"0.15 *\", \"bbox\": [327, 127, 357, 139]}, {\"cell\": \"176\", \"bbox\": [378, 127, 396, 139]}, {\"cell\": \"0.08\", \"bbox\": [422, 127, 443, 139]}, {\"cell\": \"176\", \"bbox\": [470, 127, 488, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4217590_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}632{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Item</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>I identify my own professional development needs</td></tr><tr><td>[EMPTY_CELL]</td><td>I actively engage in formal and/or informal professional development in learning and teaching</td></tr><tr><td>[EMPTY_CELL]</td><td>I am familiar with, and keep up to date with, policies and procedures that affect my work</td></tr><tr><td>[EMPTY_CELL]</td><td>I am aware of institutional student support such as academic skills programs, counselling, and disability services.</td></tr><tr><td>[EMPTY_CELL]</td><td>I receive ongoing formal and informal feedback from the unit coordinator, peers and students</td></tr><tr><td>[EMPTY_CELL]</td><td>I am aware of my roles and responsibilities as a sessional staff member</td></tr><tr><td>[EMPTY_CELL]</td><td>I critically reflect (with myself and/or with others) on students’ learning, my teaching, and my professional development as a teacher</td></tr><tr><td>[EMPTY_CELL]</td><td>I provide ongoing feedback to my department and unit coordinator</td></tr><tr><td>[EMPTY_CELL]</td><td>I participate in, or contribute to, institutional/department/unit events and activities</td></tr><tr><td>[EMPTY_CELL]</td><td>I am aware of opportunities in my school/university to gain recognition and reward for my contribution to quality teaching and learning.</td></tr><tr><td>[EMPTY_CELL]</td><td>I am aware of departmental websites, learning management systems, discussion fora, and email</td></tr><tr><td>[EMPTY_CELL]</td><td>I maintain regular and timely communication with my unit coordinator, department, and human resources.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Item</b>\", \"bbox\": [21, 4, 38, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 8, 27]}, {\"cell\": \"I identify my own professional development needs\", \"bbox\": [21, 17, 187, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 8, 41]}, {\"cell\": \"I actively engage in formal and/or informal professional development in learning and teaching\", \"bbox\": [21, 31, 202, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 8, 64]}, {\"cell\": \"I am familiar with, and keep up to date with, policies and procedures that affect my work\", \"bbox\": [21, 54, 208, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 77, 8, 87]}, {\"cell\": \"I am aware of institutional student support such as academic skills programs, counselling, and disability services.\", \"bbox\": [21, 77, 236, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 8, 110]}, {\"cell\": \"I receive ongoing formal and informal feedback from the unit coordinator, peers and students\", \"bbox\": [21, 100, 222, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 8, 133]}, {\"cell\": \"I am aware of my roles and responsibilities as a sessional staff member\", \"bbox\": [21, 123, 221, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 8, 156]}, {\"cell\": \"I critically reflect (with myself and/or with others) on students’ learning, my teaching, and my professional development as a teacher\", \"bbox\": [21, 146, 223, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 178, 8, 188]}, {\"cell\": \"I provide ongoing feedback to my department and unit coordinator\", \"bbox\": [21, 178, 203, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 201, 8, 211]}, {\"cell\": \"I participate in, or contribute to, institutional/department/unit events and activities\", \"bbox\": [21, 201, 221, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 224, 11, 234]}, {\"cell\": \"I am aware of opportunities in my school/university to gain recognition and reward for my contribution to quality teaching and learning.\", \"bbox\": [21, 224, 227, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 256, 11, 266]}, {\"cell\": \"I am aware of departmental websites, learning management systems, discussion fora, and email\", \"bbox\": [21, 256, 218, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 279, 11, 289]}, {\"cell\": \"I maintain regular and timely communication with my unit coordinator, department, and human resources.\", \"bbox\": [21, 279, 213, 298]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5968670_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}633{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Measures</b></td><td><b>T1</b></td><td><b>T2</b></td><td><b>T3</b></td><td><b>T4</b></td><td><b>Child</b></td><td><b>Parent1</b></td><td><b>Parent2</b></td></tr></thead><tbody><tr><td>Child diagnoses (DISC)</td><td>[EMPTY_CELL]</td><td>-</td><td>X</td><td>X</td><td>X</td><td>X</td><td>-</td></tr><tr><td>Child anxiety and depression (RCADS)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>-</td></tr><tr><td>Child impairment (BIS)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>-</td><td>-</td></tr><tr><td>Child externalizing symptoms (SNAP)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>-</td><td>-</td></tr><tr><td>Child attachment (IPPA)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>-</td><td>-</td></tr><tr><td>Implicit child attachment (ABT)</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Child coping (CSLK)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>-</td><td>-</td></tr><tr><td>Child attributions (CASQ)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>-</td><td>-</td></tr><tr><td>Child optimism (YLOT)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>-</td><td>-</td></tr><tr><td>Child self-esteem (RSES)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>-</td><td>-</td></tr><tr><td>Expressed emotion (FMSS)</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>X</td><td>X</td></tr><tr><td>Implicit Self-associations (EAST)</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Child executive functions (BRIEF)</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>X</td><td>-</td></tr><tr><td>Child temperament (EATQ)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>-</td><td>X</td><td>-</td></tr><tr><td>Parent positive and negative affect (PANAS)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>-</td><td>X</td><td>X</td></tr><tr><td>Parent depression (BDI)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>-</td><td>X</td><td>X</td></tr><tr><td>Parent anxiety (BAI)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>-</td><td>X</td><td>X</td></tr><tr><td>Parent substance misuse (AUDIT)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>-</td><td>X</td><td>X</td></tr><tr><td>Parent optimism (LOT)</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>-</td><td>X</td><td>X</td></tr><tr><td>Parent psychopathology (CIDI)</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>-</td><td>X</td><td>X</td></tr><tr><td>Cost Effectiveness*</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>-</td><td>X</td><td>X</td></tr><tr><td>Quality of life (EQ-5D)*</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Measures</b>\", \"bbox\": [1, 4, 35, 12]}, {\"cell\": \"<b>T1</b>\", \"bbox\": [174, 4, 184, 12]}, {\"cell\": \"<b>T2</b>\", \"bbox\": [216, 4, 227, 12]}, {\"cell\": \"<b>T3</b>\", \"bbox\": [259, 4, 269, 12]}, {\"cell\": \"<b>T4</b>\", \"bbox\": [301, 4, 312, 12]}, {\"cell\": \"<b>Child</b>\", \"bbox\": [343, 4, 363, 12]}, {\"cell\": \"<b>Parent1</b>\", \"bbox\": [395, 4, 424, 12]}, {\"cell\": \"<b>Parent2</b>\", \"bbox\": [456, 4, 484, 12]}, {\"cell\": \"Child diagnoses (DISC)\", \"bbox\": [1, 17, 75, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 17, 180, 26]}, {\"cell\": \"-\", \"bbox\": [216, 17, 221, 26]}, {\"cell\": \"X\", \"bbox\": [259, 17, 265, 26]}, {\"cell\": \"X\", \"bbox\": [301, 17, 307, 26]}, {\"cell\": \"X\", \"bbox\": [343, 17, 350, 26]}, {\"cell\": \"X\", \"bbox\": [395, 17, 401, 26]}, {\"cell\": \"-\", \"bbox\": [456, 17, 460, 26]}, {\"cell\": \"Child anxiety and depression (RCADS)\", \"bbox\": [1, 31, 123, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 31, 180, 40]}, {\"cell\": \"X\", \"bbox\": [216, 31, 223, 40]}, {\"cell\": \"X\", \"bbox\": [259, 31, 265, 40]}, {\"cell\": \"X\", \"bbox\": [301, 31, 307, 40]}, {\"cell\": \"X\", \"bbox\": [343, 31, 350, 40]}, {\"cell\": \"X\", \"bbox\": [395, 31, 401, 40]}, {\"cell\": \"-\", \"bbox\": [456, 31, 460, 40]}, {\"cell\": \"Child impairment (BIS)\", \"bbox\": [1, 45, 74, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 45, 180, 54]}, {\"cell\": \"X\", \"bbox\": [216, 45, 223, 54]}, {\"cell\": \"X\", \"bbox\": [259, 45, 265, 54]}, {\"cell\": \"X\", \"bbox\": [301, 45, 307, 54]}, {\"cell\": \"X\", \"bbox\": [343, 45, 350, 54]}, {\"cell\": \"-\", \"bbox\": [395, 45, 399, 54]}, {\"cell\": \"-\", \"bbox\": [456, 45, 460, 54]}, {\"cell\": \"Child externalizing symptoms (SNAP)\", \"bbox\": [1, 59, 121, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 59, 180, 68]}, {\"cell\": \"X\", \"bbox\": [216, 59, 223, 68]}, {\"cell\": \"X\", \"bbox\": [259, 59, 265, 68]}, {\"cell\": \"X\", \"bbox\": [301, 59, 307, 68]}, {\"cell\": \"X\", \"bbox\": [343, 59, 350, 68]}, {\"cell\": \"-\", \"bbox\": [395, 59, 399, 68]}, {\"cell\": \"-\", \"bbox\": [456, 59, 460, 68]}, {\"cell\": \"Child attachment (IPPA)\", \"bbox\": [1, 73, 79, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 73, 180, 82]}, {\"cell\": \"X\", \"bbox\": [216, 73, 223, 82]}, {\"cell\": \"X\", \"bbox\": [259, 73, 265, 82]}, {\"cell\": \"X\", \"bbox\": [301, 73, 307, 82]}, {\"cell\": \"X\", \"bbox\": [343, 73, 350, 82]}, {\"cell\": \"-\", \"bbox\": [395, 73, 399, 82]}, {\"cell\": \"-\", \"bbox\": [456, 73, 460, 82]}, {\"cell\": \"Implicit child attachment (ABT)\", \"bbox\": [1, 87, 101, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 87, 180, 96]}, {\"cell\": \"-\", \"bbox\": [216, 87, 221, 96]}, {\"cell\": \"-\", \"bbox\": [259, 87, 263, 96]}, {\"cell\": \"-\", \"bbox\": [301, 87, 305, 96]}, {\"cell\": \"-\", \"bbox\": [343, 87, 348, 96]}, {\"cell\": \"-\", \"bbox\": [395, 87, 399, 96]}, {\"cell\": \"-\", \"bbox\": [456, 87, 460, 96]}, {\"cell\": \"Child coping (CSLK)\", \"bbox\": [1, 101, 65, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 101, 180, 110]}, {\"cell\": \"X\", \"bbox\": [216, 101, 223, 110]}, {\"cell\": \"X\", \"bbox\": [259, 101, 265, 110]}, {\"cell\": \"X\", \"bbox\": [301, 101, 307, 110]}, {\"cell\": \"X\", \"bbox\": [343, 101, 350, 110]}, {\"cell\": \"-\", \"bbox\": [395, 101, 399, 110]}, {\"cell\": \"-\", \"bbox\": [456, 101, 460, 110]}, {\"cell\": \"Child attributions (CASQ)\", \"bbox\": [1, 115, 82, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 115, 180, 124]}, {\"cell\": \"X\", \"bbox\": [216, 115, 223, 124]}, {\"cell\": \"X\", \"bbox\": [259, 115, 265, 124]}, {\"cell\": \"X\", \"bbox\": [301, 115, 307, 124]}, {\"cell\": \"X\", \"bbox\": [343, 115, 350, 124]}, {\"cell\": \"-\", \"bbox\": [395, 115, 399, 124]}, {\"cell\": \"-\", \"bbox\": [456, 115, 460, 124]}, {\"cell\": \"Child optimism (YLOT)\", \"bbox\": [1, 129, 74, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 129, 180, 138]}, {\"cell\": \"X\", \"bbox\": [216, 129, 223, 138]}, {\"cell\": \"X\", \"bbox\": [259, 129, 265, 138]}, {\"cell\": \"X\", \"bbox\": [301, 129, 307, 138]}, {\"cell\": \"X\", \"bbox\": [343, 129, 350, 138]}, {\"cell\": \"-\", \"bbox\": [395, 129, 399, 138]}, {\"cell\": \"-\", \"bbox\": [456, 129, 460, 138]}, {\"cell\": \"Child self-esteem (RSES)\", \"bbox\": [1, 142, 79, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 142, 180, 152]}, {\"cell\": \"X\", \"bbox\": [216, 142, 223, 152]}, {\"cell\": \"X\", \"bbox\": [259, 142, 265, 152]}, {\"cell\": \"X\", \"bbox\": [301, 142, 307, 152]}, {\"cell\": \"X\", \"bbox\": [343, 142, 350, 152]}, {\"cell\": \"-\", \"bbox\": [395, 142, 399, 152]}, {\"cell\": \"-\", \"bbox\": [456, 142, 460, 152]}, {\"cell\": \"Expressed emotion (FMSS)\", \"bbox\": [1, 156, 87, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 156, 180, 166]}, {\"cell\": \"-\", \"bbox\": [216, 156, 221, 166]}, {\"cell\": \"-\", \"bbox\": [259, 156, 263, 166]}, {\"cell\": \"-\", \"bbox\": [301, 156, 305, 166]}, {\"cell\": \"-\", \"bbox\": [343, 156, 348, 166]}, {\"cell\": \"X\", \"bbox\": [395, 156, 401, 166]}, {\"cell\": \"X\", \"bbox\": [456, 156, 462, 166]}, {\"cell\": \"Implicit Self-associations (EAST)\", \"bbox\": [1, 170, 101, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 170, 180, 180]}, {\"cell\": \"-\", \"bbox\": [216, 170, 221, 180]}, {\"cell\": \"-\", \"bbox\": [259, 170, 263, 180]}, {\"cell\": \"-\", \"bbox\": [301, 170, 305, 180]}, {\"cell\": \"-\", \"bbox\": [343, 170, 348, 180]}, {\"cell\": \"-\", \"bbox\": [395, 170, 399, 180]}, {\"cell\": \"-\", \"bbox\": [456, 170, 460, 180]}, {\"cell\": \"Child executive functions (BRIEF)\", \"bbox\": [1, 184, 106, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 184, 180, 194]}, {\"cell\": \"-\", \"bbox\": [216, 184, 221, 194]}, {\"cell\": \"-\", \"bbox\": [259, 184, 263, 194]}, {\"cell\": \"-\", \"bbox\": [301, 184, 305, 194]}, {\"cell\": \"-\", \"bbox\": [343, 184, 348, 194]}, {\"cell\": \"X\", \"bbox\": [395, 184, 401, 194]}, {\"cell\": \"-\", \"bbox\": [456, 184, 460, 194]}, {\"cell\": \"Child temperament (EATQ)\", \"bbox\": [1, 198, 89, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 198, 180, 208]}, {\"cell\": \"X\", \"bbox\": [216, 198, 223, 208]}, {\"cell\": \"X\", \"bbox\": [259, 198, 265, 208]}, {\"cell\": \"X\", \"bbox\": [301, 198, 307, 208]}, {\"cell\": \"-\", \"bbox\": [343, 198, 348, 208]}, {\"cell\": \"X\", \"bbox\": [395, 198, 401, 208]}, {\"cell\": \"-\", \"bbox\": [456, 198, 460, 208]}, {\"cell\": \"Parent positive and negative affect (PANAS)\", \"bbox\": [1, 212, 142, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 212, 180, 222]}, {\"cell\": \"X\", \"bbox\": [216, 212, 223, 222]}, {\"cell\": \"X\", \"bbox\": [259, 212, 265, 222]}, {\"cell\": \"X\", \"bbox\": [301, 212, 307, 222]}, {\"cell\": \"-\", \"bbox\": [343, 212, 348, 222]}, {\"cell\": \"X\", \"bbox\": [395, 212, 401, 222]}, {\"cell\": \"X\", \"bbox\": [456, 212, 462, 222]}, {\"cell\": \"Parent depression (BDI)\", \"bbox\": [1, 226, 77, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 226, 180, 236]}, {\"cell\": \"X\", \"bbox\": [216, 226, 223, 236]}, {\"cell\": \"X\", \"bbox\": [259, 226, 265, 236]}, {\"cell\": \"X\", \"bbox\": [301, 226, 307, 236]}, {\"cell\": \"-\", \"bbox\": [343, 226, 348, 236]}, {\"cell\": \"X\", \"bbox\": [395, 226, 401, 236]}, {\"cell\": \"X\", \"bbox\": [456, 226, 462, 236]}, {\"cell\": \"Parent anxiety (BAI)\", \"bbox\": [1, 240, 65, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 240, 180, 250]}, {\"cell\": \"X\", \"bbox\": [216, 240, 223, 250]}, {\"cell\": \"X\", \"bbox\": [259, 240, 265, 250]}, {\"cell\": \"X\", \"bbox\": [301, 240, 307, 250]}, {\"cell\": \"-\", \"bbox\": [343, 240, 348, 250]}, {\"cell\": \"X\", \"bbox\": [395, 240, 401, 250]}, {\"cell\": \"X\", \"bbox\": [456, 240, 462, 250]}, {\"cell\": \"Parent substance misuse (AUDIT)\", \"bbox\": [1, 254, 108, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 254, 180, 264]}, {\"cell\": \"X\", \"bbox\": [216, 254, 223, 264]}, {\"cell\": \"X\", \"bbox\": [259, 254, 265, 264]}, {\"cell\": \"X\", \"bbox\": [301, 254, 307, 264]}, {\"cell\": \"-\", \"bbox\": [343, 254, 348, 264]}, {\"cell\": \"X\", \"bbox\": [395, 254, 401, 264]}, {\"cell\": \"X\", \"bbox\": [456, 254, 462, 264]}, {\"cell\": \"Parent optimism (LOT)\", \"bbox\": [1, 268, 74, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 268, 180, 278]}, {\"cell\": \"X\", \"bbox\": [216, 268, 223, 278]}, {\"cell\": \"X\", \"bbox\": [259, 268, 265, 278]}, {\"cell\": \"X\", \"bbox\": [301, 268, 307, 278]}, {\"cell\": \"-\", \"bbox\": [343, 268, 348, 278]}, {\"cell\": \"X\", \"bbox\": [395, 268, 401, 278]}, {\"cell\": \"X\", \"bbox\": [456, 268, 462, 278]}, {\"cell\": \"Parent psychopathology (CIDI)\", \"bbox\": [1, 282, 100, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 282, 180, 291]}, {\"cell\": \"-\", \"bbox\": [216, 282, 221, 291]}, {\"cell\": \"-\", \"bbox\": [259, 282, 263, 291]}, {\"cell\": \"-\", \"bbox\": [301, 282, 305, 291]}, {\"cell\": \"-\", \"bbox\": [343, 282, 348, 291]}, {\"cell\": \"X\", \"bbox\": [395, 282, 401, 291]}, {\"cell\": \"X\", \"bbox\": [456, 282, 462, 291]}, {\"cell\": \"Cost Effectiveness*\", \"bbox\": [1, 296, 62, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 296, 180, 305]}, {\"cell\": \"X\", \"bbox\": [216, 296, 223, 305]}, {\"cell\": \"X\", \"bbox\": [259, 296, 265, 305]}, {\"cell\": \"X\", \"bbox\": [301, 296, 307, 305]}, {\"cell\": \"-\", \"bbox\": [343, 296, 348, 305]}, {\"cell\": \"X\", \"bbox\": [395, 296, 401, 305]}, {\"cell\": \"X\", \"bbox\": [456, 296, 462, 305]}, {\"cell\": \"Quality of life (EQ-5D)*\", \"bbox\": [1, 310, 75, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 310, 180, 319]}, {\"cell\": \"X\", \"bbox\": [216, 310, 223, 319]}, {\"cell\": \"X\", \"bbox\": [259, 310, 265, 319]}, {\"cell\": \"X\", \"bbox\": [301, 310, 307, 319]}, {\"cell\": \"X\", \"bbox\": [343, 310, 350, 319]}, {\"cell\": \"X\", \"bbox\": [395, 310, 401, 319]}, {\"cell\": \"X\", \"bbox\": [456, 310, 462, 319]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3403886_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}634{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Discontinuation</b></td><td colspan=\\\"2\\\"><b>Withdrawal</b></td></tr><tr><td><b>HR (95% CI)</b></td><td><b><i>p</i>-value</b></td><td><b>HR (95% CI)</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>Age at baseline (per 10 years increase)</td><td>0.81 (0.73, 0.89)</td><td>[EMPTY_CELL]</td><td>1.24 (1.04, 1.47)</td><td>0.02</td></tr><tr><td colspan=\\\"5\\\">Sex</td></tr><tr><td> Male</td><td>Reference</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>0.91 (0.69, 1.21)</td><td>[EMPTY_CELL]</td><td>0.84 (0.52, 1.34)</td><td>0.46</td></tr><tr><td colspan=\\\"5\\\">Marital status</td></tr><tr><td> Married</td><td>Reference</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td> Unmarried</td><td>1.32 (0.97, 1.79)</td><td>[EMPTY_CELL]</td><td>0.72 (0.41, 1.28)</td><td>0.26</td></tr><tr><td> Divorced/widowed</td><td>1.18 (0.73, 1.93)</td><td>[EMPTY_CELL]</td><td>0.88 (0.38, 2.06)</td><td>0.77</td></tr><tr><td colspan=\\\"5\\\">Highest completed educational level</td></tr><tr><td> Lower secondary education or apprenticeship</td><td>1.41 (0.52, 3.84)</td><td>[EMPTY_CELL]</td><td>2.44 (0.58, 10.31)</td><td>0.22</td></tr><tr><td> Still at upper secondary school</td><td>0.89 (0.62, 1.29)</td><td>[EMPTY_CELL]</td><td>1.56 (0.89, 2.76)</td><td>0.12</td></tr><tr><td> University entrance qualification</td><td>1.13 (0.81, 1.56)</td><td>[EMPTY_CELL]</td><td>1.07 (0.59, 1.95)</td><td>0.82</td></tr><tr><td> University degree</td><td>Reference</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Frequency of Internet usage</td></tr><tr><td> Daily</td><td>Reference</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td> Less than daily</td><td>1.23 (0.91, 1.67)</td><td>[EMPTY_CELL]</td><td>2.03 (1.26, 3.27)</td><td>0.004</td></tr><tr><td colspan=\\\"5\\\">Self-rated health status</td></tr><tr><td> Fair/poor</td><td>0.93 (0.55, 1.59)</td><td>[EMPTY_CELL]</td><td>1.57 (0.67, 3.68)</td><td>0.30</td></tr><tr><td> Good</td><td>1.09 (0.81, 1.47)</td><td>[EMPTY_CELL]</td><td>1.73 (1.03, 2.92)</td><td>0.04</td></tr><tr><td> Excellent/very good</td><td>Reference</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td>WHO-5 well-being index (per 10 points increase)</td><td>0.96 (0.89, 1.03)</td><td>[EMPTY_CELL]</td><td>0.96 (0.85, 1.09)</td><td>0.57</td></tr><tr><td>PSS score (per 1 point increase)</td><td>1.07 (1.02, 1.12)</td><td>[EMPTY_CELL]</td><td>0.97 (0.89, 1.05)</td><td>0.46</td></tr><tr><td>ID-Screen (per 1 point increase)</td><td>1.03 (0.99, 1.07)</td><td>[EMPTY_CELL]</td><td>1.01 (0.95, 1.08)</td><td>0.73</td></tr><tr><td>Time between invitation and returnof the filled informed consent form (per week)</td><td>1.1 (1.04, 1.17)</td><td>[EMPTY_CELL]</td><td>0.98 (0.82, 1.16)</td><td>0.78</td></tr><tr><td colspan=\\\"5\\\">Had to be reminded to fill in the first online questionnaire (A)</td></tr><tr><td> Yes</td><td>1.85 (1.27, 2.7)</td><td>[EMPTY_CELL]</td><td>0.82 (0.33, 2.05)</td><td>0.68</td></tr><tr><td> No</td><td>Reference</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Discontinuation</b>\", \"bbox\": [201, 4, 254, 13]}, {\"cell\": \"<b>Withdrawal</b>\", \"bbox\": [362, 4, 400, 13]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [201, 17, 241, 27]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [295, 17, 320, 27]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [362, 17, 402, 27]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"Age at baseline (per 10 years increase)\", \"bbox\": [1, 30, 126, 40]}, {\"cell\": \"0.81 (0.73, 0.89)\", \"bbox\": [201, 30, 252, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 30, 318, 40]}, {\"cell\": \"1.24 (1.04, 1.47)\", \"bbox\": [362, 30, 413, 40]}, {\"cell\": \"0.02\", \"bbox\": [459, 30, 474, 40]}, {\"cell\": \"Sex\", \"bbox\": [1, 44, 13, 54]}, {\"cell\": \" Male\", \"bbox\": [8, 58, 26, 68]}, {\"cell\": \"Reference\", \"bbox\": [201, 58, 235, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 58, 396, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Female\", \"bbox\": [8, 72, 34, 82]}, {\"cell\": \"0.91 (0.69, 1.21)\", \"bbox\": [201, 72, 252, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 72, 309, 82]}, {\"cell\": \"0.84 (0.52, 1.34)\", \"bbox\": [362, 72, 413, 82]}, {\"cell\": \"0.46\", \"bbox\": [459, 72, 474, 82]}, {\"cell\": \"Marital status\", \"bbox\": [1, 86, 45, 96]}, {\"cell\": \" Married\", \"bbox\": [8, 100, 35, 110]}, {\"cell\": \"Reference\", \"bbox\": [201, 100, 235, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 100, 396, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Unmarried\", \"bbox\": [8, 114, 44, 124]}, {\"cell\": \"1.32 (0.97, 1.79)\", \"bbox\": [201, 114, 252, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 114, 309, 124]}, {\"cell\": \"0.72 (0.41, 1.28)\", \"bbox\": [362, 114, 413, 124]}, {\"cell\": \"0.26\", \"bbox\": [459, 114, 474, 124]}, {\"cell\": \" Divorced/widowed\", \"bbox\": [8, 128, 72, 138]}, {\"cell\": \"1.18 (0.73, 1.93)\", \"bbox\": [201, 128, 252, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 128, 309, 138]}, {\"cell\": \"0.88 (0.38, 2.06)\", \"bbox\": [362, 128, 413, 138]}, {\"cell\": \"0.77\", \"bbox\": [459, 128, 474, 138]}, {\"cell\": \"Highest completed educational level\", \"bbox\": [1, 142, 120, 152]}, {\"cell\": \" Lower secondary education or apprenticeship\", \"bbox\": [8, 156, 158, 166]}, {\"cell\": \"1.41 (0.52, 3.84)\", \"bbox\": [201, 156, 252, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 156, 309, 166]}, {\"cell\": \"2.44 (0.58, 10.31)\", \"bbox\": [362, 156, 417, 166]}, {\"cell\": \"0.22\", \"bbox\": [459, 156, 474, 166]}, {\"cell\": \" Still at upper secondary school\", \"bbox\": [8, 170, 109, 180]}, {\"cell\": \"0.89 (0.62, 1.29)\", \"bbox\": [201, 170, 252, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 170, 309, 180]}, {\"cell\": \"1.56 (0.89, 2.76)\", \"bbox\": [362, 170, 413, 180]}, {\"cell\": \"0.12\", \"bbox\": [459, 170, 474, 180]}, {\"cell\": \" University entrance qualification\", \"bbox\": [8, 184, 113, 194]}, {\"cell\": \"1.13 (0.81, 1.56)\", \"bbox\": [201, 184, 252, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 184, 309, 194]}, {\"cell\": \"1.07 (0.59, 1.95)\", \"bbox\": [362, 184, 413, 194]}, {\"cell\": \"0.82\", \"bbox\": [459, 184, 474, 194]}, {\"cell\": \" University degree\", \"bbox\": [8, 198, 66, 208]}, {\"cell\": \"Reference\", \"bbox\": [201, 198, 235, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 198, 396, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Frequency of Internet usage\", \"bbox\": [1, 212, 93, 222]}, {\"cell\": \" Daily\", \"bbox\": [8, 226, 26, 236]}, {\"cell\": \"Reference\", \"bbox\": [201, 226, 235, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 226, 396, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Less than daily\", \"bbox\": [8, 240, 58, 250]}, {\"cell\": \"1.23 (0.91, 1.67)\", \"bbox\": [201, 240, 252, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 240, 309, 250]}, {\"cell\": \"2.03 (1.26, 3.27)\", \"bbox\": [362, 240, 413, 250]}, {\"cell\": \"0.004\", \"bbox\": [459, 240, 478, 250]}, {\"cell\": \"Self-rated health status\", \"bbox\": [1, 254, 76, 264]}, {\"cell\": \" Fair/poor\", \"bbox\": [8, 268, 40, 278]}, {\"cell\": \"0.93 (0.55, 1.59)\", \"bbox\": [201, 268, 252, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 268, 309, 278]}, {\"cell\": \"1.57 (0.67, 3.68)\", \"bbox\": [362, 268, 413, 278]}, {\"cell\": \"0.30\", \"bbox\": [459, 268, 474, 278]}, {\"cell\": \" Good\", \"bbox\": [8, 282, 28, 292]}, {\"cell\": \"1.09 (0.81, 1.47)\", \"bbox\": [201, 282, 252, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 282, 309, 292]}, {\"cell\": \"1.73 (1.03, 2.92)\", \"bbox\": [362, 282, 413, 292]}, {\"cell\": \"0.04\", \"bbox\": [459, 282, 474, 292]}, {\"cell\": \" Excellent/very good\", \"bbox\": [8, 296, 74, 306]}, {\"cell\": \"Reference\", \"bbox\": [201, 296, 235, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 296, 396, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"WHO-5 well-being index (per 10 points increase)\", \"bbox\": [1, 310, 159, 320]}, {\"cell\": \"0.96 (0.89, 1.03)\", \"bbox\": [201, 310, 252, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 310, 309, 320]}, {\"cell\": \"0.96 (0.85, 1.09)\", \"bbox\": [362, 310, 413, 320]}, {\"cell\": \"0.57\", \"bbox\": [459, 310, 474, 320]}, {\"cell\": \"PSS score (per 1 point increase)\", \"bbox\": [1, 324, 104, 334]}, {\"cell\": \"1.07 (1.02, 1.12)\", \"bbox\": [201, 324, 252, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 324, 313, 334]}, {\"cell\": \"0.97 (0.89, 1.05)\", \"bbox\": [362, 324, 413, 334]}, {\"cell\": \"0.46\", \"bbox\": [459, 324, 474, 334]}, {\"cell\": \"ID-Screen (per 1 point increase)\", \"bbox\": [1, 338, 104, 348]}, {\"cell\": \"1.03 (0.99, 1.07)\", \"bbox\": [201, 338, 252, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 338, 309, 348]}, {\"cell\": \"1.01 (0.95, 1.08)\", \"bbox\": [362, 338, 413, 348]}, {\"cell\": \"0.73\", \"bbox\": [459, 338, 474, 348]}, {\"cell\": \"Time between invitation and returnof the filled informed consent form (per week)\", \"bbox\": [1, 352, 152, 371]}, {\"cell\": \"1.1 (1.04, 1.17)\", \"bbox\": [201, 352, 248, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 352, 318, 362]}, {\"cell\": \"0.98 (0.82, 1.16)\", \"bbox\": [362, 352, 413, 362]}, {\"cell\": \"0.78\", \"bbox\": [459, 352, 474, 362]}, {\"cell\": \"Had to be reminded to fill in the first online questionnaire (A)\", \"bbox\": [1, 375, 201, 385]}, {\"cell\": \" Yes\", \"bbox\": [8, 389, 21, 399]}, {\"cell\": \"1.85 (1.27, 2.7)\", \"bbox\": [201, 389, 248, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 389, 313, 399]}, {\"cell\": \"0.82 (0.33, 2.05)\", \"bbox\": [362, 389, 413, 399]}, {\"cell\": \"0.68\", \"bbox\": [459, 389, 474, 399]}, {\"cell\": \" No\", \"bbox\": [8, 403, 20, 413]}, {\"cell\": \"Reference\", \"bbox\": [201, 403, 235, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reference\", \"bbox\": [362, 403, 396, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5580321_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}635{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Spot</b></td><td><b>Swiss-Protprotein name</b></td><td><b>Measured Mr/pI</b></td><td><b>Theor. Mr/pI</b></td><td><b>Sequence coverage (%)</b></td><td><b>Peptides sequenced</b></td><td><b>Score</b></td></tr></thead><tbody><tr><td>7305</td><td>P42126</td><td>27/6.3</td><td>[EMPTY_CELL]</td><td>17</td><td>47–61 VLVEPDAGAGVAVMK</td><td>103</td></tr><tr><td>[EMPTY_CELL]</td><td>2,3-trans-Enoyl-CoA</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>191–200 DTLENTIGHR</td><td>48.6</td></tr><tr><td>[EMPTY_CELL]</td><td>Isomerase</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>271–283 DADVQNFVSFISK</td><td>18</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>289–296 SLQMYLER</td><td>20.4</td></tr><tr><td>5104</td><td>P07203</td><td>22/5.9</td><td>[EMPTY_CELL]</td><td>10</td><td>147–155 LITWSPVC*R</td><td>5.4</td></tr><tr><td>[EMPTY_CELL]</td><td>Glutathione peroxidase 1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>165–175 FLVGPDGVPLR</td><td>12.1</td></tr><tr><td>1606</td><td>P06748</td><td>37/4.7</td><td>[EMPTY_CELL]</td><td>26</td><td>33–45 VDNDENEHQLSLR</td><td>53.6</td></tr><tr><td>[EMPTY_CELL]</td><td>Nucleophosmin</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>55–73 DELHIVEAEAMNYEGSPIK</td><td>37.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>81–101 MSVQPTVSLGGFEITPPVVLR</td><td>65.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>238–246 GPSSVEDIK</td><td>20</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>276–289 MTDQEAIQDLWQWR</td><td>24.9</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Spot</b>\", \"bbox\": [6, 4, 23, 14]}, {\"cell\": \"<b>Swiss-Protprotein name</b>\", \"bbox\": [53, 4, 99, 23]}, {\"cell\": \"<b>Measured Mr/pI</b>\", \"bbox\": [129, 4, 184, 14]}, {\"cell\": \"<b>Theor. Mr/pI</b>\", \"bbox\": [193, 4, 238, 14]}, {\"cell\": \"<b>Sequence coverage (%)</b>\", \"bbox\": [248, 4, 327, 14]}, {\"cell\": \"<b>Peptides sequenced</b>\", \"bbox\": [368, 4, 436, 14]}, {\"cell\": \"<b>Score</b>\", \"bbox\": [476, 4, 497, 14]}, {\"cell\": \"7305\", \"bbox\": [5, 36, 24, 46]}, {\"cell\": \"P42126\", \"bbox\": [63, 36, 89, 46]}, {\"cell\": \"27/6.3\", \"bbox\": [145, 36, 168, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 36, 224, 46]}, {\"cell\": \"17\", \"bbox\": [282, 36, 292, 46]}, {\"cell\": \"47–61 VLVEPDAGAGVAVMK\", \"bbox\": [350, 36, 454, 46]}, {\"cell\": \"103\", \"bbox\": [479, 36, 493, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2,3-trans-Enoyl-CoA\", \"bbox\": [40, 46, 111, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"191–200 DTLENTIGHR\", \"bbox\": [360, 46, 443, 56]}, {\"cell\": \"48.6\", \"bbox\": [478, 46, 494, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Isomerase\", \"bbox\": [58, 56, 94, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"271–283 DADVQNFVSFISK\", \"bbox\": [353, 56, 450, 66]}, {\"cell\": \"18\", \"bbox\": [481, 56, 491, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"289–296 SLQMYLER\", \"bbox\": [366, 67, 438, 76]}, {\"cell\": \"20.4\", \"bbox\": [478, 67, 494, 76]}, {\"cell\": \"5104\", \"bbox\": [5, 77, 24, 87]}, {\"cell\": \"P07203\", \"bbox\": [63, 77, 89, 87]}, {\"cell\": \"22/5.9\", \"bbox\": [145, 77, 168, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 77, 227, 87]}, {\"cell\": \"10\", \"bbox\": [282, 77, 292, 87]}, {\"cell\": \"147–155 LITWSPVC*R\", \"bbox\": [362, 77, 442, 87]}, {\"cell\": \"5.4\", \"bbox\": [480, 77, 492, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Glutathione peroxidase 1\", \"bbox\": [32, 87, 119, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"165–175 FLVGPDGVPLR\", \"bbox\": [358, 87, 445, 97]}, {\"cell\": \"12.1\", \"bbox\": [478, 87, 494, 97]}, {\"cell\": \"1606\", \"bbox\": [5, 97, 24, 107]}, {\"cell\": \"P06748\", \"bbox\": [63, 97, 89, 107]}, {\"cell\": \"37/4.7\", \"bbox\": [145, 97, 168, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 97, 227, 107]}, {\"cell\": \"26\", \"bbox\": [282, 97, 292, 107]}, {\"cell\": \"33–45 VDNDENEHQLSLR\", \"bbox\": [355, 97, 448, 107]}, {\"cell\": \"53.6\", \"bbox\": [478, 97, 494, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nucleophosmin\", \"bbox\": [49, 108, 103, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"55–73 DELHIVEAEAMNYEGSPIK\", \"bbox\": [344, 108, 459, 117]}, {\"cell\": \"37.5\", \"bbox\": [478, 108, 494, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"81–101 MSVQPTVSLGGFEITPPVVLR\", \"bbox\": [338, 118, 466, 128]}, {\"cell\": \"65.8\", \"bbox\": [478, 118, 494, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"238–246 GPSSVEDIK\", \"bbox\": [365, 128, 439, 138]}, {\"cell\": \"20\", \"bbox\": [481, 128, 491, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"276–289 MTDQEAIQDLWQWR\", \"bbox\": [344, 138, 459, 148]}, {\"cell\": \"24.9\", \"bbox\": [478, 138, 494, 148]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2377273_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}636{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>No. of fractures</b></td><td><b>Fracture IR (/1000 PY)</b></td><td><b>Age/sex adjusted HR (95 % CI)</b></td><td><b>Adjusted HR (95 % CI)<sup>b</sup></b></td></tr></thead><tbody><tr><td>Never-GLP1-ra use<sup>a</sup></td><td>8449</td><td>12.9</td><td>[EMPTY_CELL]</td><td>Reference</td></tr><tr><td colspan=\\\"5\\\">Current GLP1-ra use</td></tr><tr><td colspan=\\\"5\\\">By average DDD exposure (in exenatide equivalents)</td></tr><tr><td> 0–15 mcg</td><td>48</td><td>16.9</td><td>[EMPTY_CELL]</td><td>1.03 (0.78–1.38)</td></tr><tr><td> 16–20 mcg</td><td>37</td><td>8.7</td><td>[EMPTY_CELL]</td><td>0.82 (0.59–1.13)</td></tr><tr><td> ≥21 mcg</td><td>28</td><td>14.3</td><td>[EMPTY_CELL]</td><td>1.27 (0.88–1.85)</td></tr><tr><td>No dose</td><td>9</td><td>9.8</td><td>[EMPTY_CELL]</td><td>0.90 (0.47–1.73)</td></tr><tr><td colspan=\\\"5\\\">By cumulative DDD exposure (in exenatide equivalents)</td></tr><tr><td> 0–2.7 mg</td><td>41</td><td>11.3</td><td>[EMPTY_CELL]</td><td>1.02 (0.75–1.40)</td></tr><tr><td> 2.8–5.4 mg</td><td>24</td><td>9.4</td><td>[EMPTY_CELL]</td><td>0.89 (0.60–1.34)</td></tr><tr><td> 5.5–8.2 mg</td><td>17</td><td>9.9</td><td>[EMPTY_CELL]</td><td>0.94 (0.58–1.52)</td></tr><tr><td> ≥8.3 mg</td><td>40</td><td>11.0</td><td>[EMPTY_CELL]</td><td>1.03 (0.75–1.41)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No. of fractures</b>\", \"bbox\": [93, 5, 150, 15]}, {\"cell\": \"<b>Fracture IR (/1000 PY)</b>\", \"bbox\": [170, 5, 253, 15]}, {\"cell\": \"<b>Age/sex adjusted HR (95 % CI)</b>\", \"bbox\": [273, 5, 387, 15]}, {\"cell\": \"<b>Adjusted HR (95 % CI)<sup>b</sup></b>\", \"bbox\": [407, 3, 496, 15]}, {\"cell\": \"Never-GLP1-ra use<sup>a</sup>\", \"bbox\": [1, 22, 73, 34]}, {\"cell\": \"8449\", \"bbox\": [93, 24, 112, 34]}, {\"cell\": \"12.9\", \"bbox\": [170, 24, 187, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 24, 310, 34]}, {\"cell\": \"Reference\", \"bbox\": [407, 24, 444, 34]}, {\"cell\": \"Current GLP1-ra use\", \"bbox\": [1, 37, 75, 46]}, {\"cell\": \"By average DDD exposure (in exenatide equivalents)\", \"bbox\": [1, 49, 188, 59]}, {\"cell\": \" 0–15 mcg\", \"bbox\": [6, 62, 42, 72]}, {\"cell\": \"48\", \"bbox\": [93, 62, 103, 72]}, {\"cell\": \"16.9\", \"bbox\": [170, 62, 187, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 62, 333, 72]}, {\"cell\": \"1.03 (0.78–1.38)\", \"bbox\": [407, 62, 466, 72]}, {\"cell\": \" 16–20 mcg\", \"bbox\": [6, 75, 47, 85]}, {\"cell\": \"37\", \"bbox\": [93, 75, 103, 85]}, {\"cell\": \"8.7\", \"bbox\": [170, 75, 183, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 75, 333, 85]}, {\"cell\": \"0.82 (0.59–1.13)\", \"bbox\": [407, 75, 466, 85]}, {\"cell\": \" ≥21 mcg\", \"bbox\": [6, 88, 40, 97]}, {\"cell\": \"28\", \"bbox\": [93, 88, 103, 97]}, {\"cell\": \"14.3\", \"bbox\": [170, 88, 187, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 88, 333, 97]}, {\"cell\": \"1.27 (0.88–1.85)\", \"bbox\": [407, 88, 466, 97]}, {\"cell\": \"No dose\", \"bbox\": [1, 100, 31, 110]}, {\"cell\": \"9\", \"bbox\": [93, 100, 99, 110]}, {\"cell\": \"9.8\", \"bbox\": [170, 100, 183, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 100, 333, 110]}, {\"cell\": \"0.90 (0.47–1.73)\", \"bbox\": [407, 100, 466, 110]}, {\"cell\": \"By cumulative DDD exposure (in exenatide equivalents)\", \"bbox\": [1, 113, 200, 123]}, {\"cell\": \" 0–2.7 mg\", \"bbox\": [6, 126, 41, 136]}, {\"cell\": \"41\", \"bbox\": [93, 126, 103, 136]}, {\"cell\": \"11.3\", \"bbox\": [170, 126, 187, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 126, 333, 136]}, {\"cell\": \"1.02 (0.75–1.40)\", \"bbox\": [407, 126, 466, 136]}, {\"cell\": \" 2.8–5.4 mg\", \"bbox\": [6, 139, 47, 148]}, {\"cell\": \"24\", \"bbox\": [93, 139, 103, 148]}, {\"cell\": \"9.4\", \"bbox\": [170, 139, 183, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 139, 333, 148]}, {\"cell\": \"0.89 (0.60–1.34)\", \"bbox\": [407, 139, 466, 148]}, {\"cell\": \" 5.5–8.2 mg\", \"bbox\": [6, 151, 47, 161]}, {\"cell\": \"17\", \"bbox\": [93, 151, 103, 161]}, {\"cell\": \"9.9\", \"bbox\": [170, 151, 183, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 151, 333, 161]}, {\"cell\": \"0.94 (0.58–1.52)\", \"bbox\": [407, 151, 466, 161]}, {\"cell\": \" ≥8.3 mg\", \"bbox\": [6, 164, 39, 174]}, {\"cell\": \"40\", \"bbox\": [93, 164, 103, 174]}, {\"cell\": \"11.0\", \"bbox\": [170, 164, 187, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 164, 333, 174]}, {\"cell\": \"1.03 (0.75–1.41)\", \"bbox\": [407, 164, 466, 174]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4491344_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}637{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Mosquito species</b></td><td><b>Total collected</b></td><td><b>Total <i>Haemoproteus</i> positive thoraxes</b></td><td><b><i>Haemoproteus</i> prevalence</b></td><td><b>Total <i>Plasmodium</i> positive thoraxes</b></td><td><b><i>Plasmodium</i> positive thoraxes prevalence</b></td><td><b>Total <i>Plasmodium</i> positive salivary glands</b></td><td><b><i>Plasmodium</i> positive salivary glands Prevalence</b></td><td><b>Total <i>Plasmodium</i> positive abdomens</b></td><td><b><i>Plasmodium</i> positive abdomens prevalence</b></td></tr></thead><tbody><tr><td><i>Ae. sierrensis</i></td><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td></tr><tr><td><i>Ae. vexans</i></td><td>324</td><td>4</td><td>1.2 %</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td></tr><tr><td><i>Ae. washinoi</i></td><td>9</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td></tr><tr><td><i>An. freeborni</i></td><td>88</td><td>1</td><td>1.1 %</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td></tr><tr><td><i>An. punctipennis</i></td><td>168</td><td>1</td><td>0.6 %</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td></tr><tr><td><i>Cx. erythrothorax</i></td><td>297</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td></tr><tr><td><i>Cx. pipiens</i> complex</td><td>551</td><td>1</td><td>0.2 %</td><td>3</td><td>0.5 %</td><td>0</td><td>[EMPTY_CELL]</td><td>3</td><td>0.5 %</td></tr><tr><td><i>Cx. restuans</i></td><td>167</td><td>1</td><td>0.6 %</td><td>3</td><td>1.8 %</td><td>2</td><td>[EMPTY_CELL]</td><td>1</td><td>0.6 %</td></tr><tr><td><i>Cx. stigmatosoma</i></td><td>693</td><td>1</td><td>0.1 %</td><td>53</td><td>7.6 %</td><td>44</td><td>[EMPTY_CELL]</td><td>39</td><td>5.6 %</td></tr><tr><td><i>Cx. tarsalis</i></td><td>464</td><td>3</td><td>0.6 %</td><td>15</td><td>3.2 %</td><td>11</td><td>[EMPTY_CELL]</td><td>13</td><td>2.8 %</td></tr><tr><td><i>Cx. thriambus</i></td><td>59</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td></tr><tr><td><i>Cs. impatiens</i></td><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td></tr><tr><td><i>Cs. incidens</i></td><td>7</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td></tr><tr><td><i>Cs. inornata</i></td><td>8</td><td>0</td><td>0</td><td>0</td><td>0</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td></tr><tr><td><i>Cs. particeps</i></td><td>240</td><td>2</td><td>0.8 %</td><td>2</td><td>0.8 %</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td></tr><tr><td>Total</td><td>3083</td><td>14</td><td>0.5 %</td><td>76</td><td>2.4 %</td><td>57</td><td>[EMPTY_CELL]</td><td>56</td><td>1.8 %</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Mosquito species</b>\", \"bbox\": [1, 4, 58, 13]}, {\"cell\": \"<b>Total collected</b>\", \"bbox\": [70, 4, 101, 22]}, {\"cell\": \"<b>Total <i>Haemoproteus</i> positive thoraxes</b>\", \"bbox\": [107, 4, 172, 22]}, {\"cell\": \"<b><i>Haemoproteus</i> prevalence</b>\", \"bbox\": [178, 4, 225, 22]}, {\"cell\": \"<b>Total <i>Plasmodium</i> positive thoraxes</b>\", \"bbox\": [230, 4, 288, 22]}, {\"cell\": \"<b><i>Plasmodium</i> positive thoraxes prevalence</b>\", \"bbox\": [294, 4, 361, 22]}, {\"cell\": \"<b>Total <i>Plasmodium</i> positive salivary glands</b>\", \"bbox\": [367, 4, 425, 31]}, {\"cell\": \"<b><i>Plasmodium</i> positive salivary glands Prevalence</b>\", \"bbox\": [431, 4, 498, 31]}, {\"cell\": \"<b>Total <i>Plasmodium</i> positive abdomens</b>\", \"bbox\": [504, 4, 567, 22]}, {\"cell\": \"<b><i>Plasmodium</i> positive abdomens prevalence</b>\", \"bbox\": [572, 4, 645, 22]}, {\"cell\": \"<i>Ae. sierrensis</i>\", \"bbox\": [1, 35, 40, 45]}, {\"cell\": \"4\", \"bbox\": [70, 35, 76, 45]}, {\"cell\": \"0\", \"bbox\": [107, 35, 113, 45]}, {\"cell\": \"0\", \"bbox\": [178, 35, 183, 45]}, {\"cell\": \"0\", \"bbox\": [230, 35, 236, 45]}, {\"cell\": \"0\", \"bbox\": [294, 35, 300, 45]}, {\"cell\": \"-\", \"bbox\": [367, 35, 371, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 35, 435, 45]}, {\"cell\": \"-\", \"bbox\": [504, 35, 508, 45]}, {\"cell\": \"-\", \"bbox\": [572, 35, 577, 45]}, {\"cell\": \"<i>Ae. vexans</i>\", \"bbox\": [1, 49, 35, 59]}, {\"cell\": \"324\", \"bbox\": [70, 49, 84, 59]}, {\"cell\": \"4\", \"bbox\": [107, 49, 113, 59]}, {\"cell\": \"1.2 %\", \"bbox\": [178, 49, 197, 59]}, {\"cell\": \"0\", \"bbox\": [230, 49, 236, 59]}, {\"cell\": \"0\", \"bbox\": [294, 49, 300, 59]}, {\"cell\": \"0\", \"bbox\": [367, 49, 373, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 49, 437, 59]}, {\"cell\": \"0\", \"bbox\": [504, 49, 510, 59]}, {\"cell\": \"0\", \"bbox\": [572, 49, 578, 59]}, {\"cell\": \"<i>Ae. washinoi</i>\", \"bbox\": [1, 63, 41, 73]}, {\"cell\": \"9\", \"bbox\": [70, 63, 76, 73]}, {\"cell\": \"0\", \"bbox\": [107, 63, 113, 73]}, {\"cell\": \"0\", \"bbox\": [178, 63, 183, 73]}, {\"cell\": \"0\", \"bbox\": [230, 63, 236, 73]}, {\"cell\": \"0\", \"bbox\": [294, 63, 300, 73]}, {\"cell\": \"-\", \"bbox\": [367, 63, 371, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 63, 435, 73]}, {\"cell\": \"-\", \"bbox\": [504, 63, 508, 73]}, {\"cell\": \"-\", \"bbox\": [572, 63, 577, 73]}, {\"cell\": \"<i>An. freeborni</i>\", \"bbox\": [1, 77, 41, 87]}, {\"cell\": \"88\", \"bbox\": [70, 77, 80, 87]}, {\"cell\": \"1\", \"bbox\": [107, 77, 113, 87]}, {\"cell\": \"1.1 %\", \"bbox\": [178, 77, 197, 87]}, {\"cell\": \"0\", \"bbox\": [230, 77, 236, 87]}, {\"cell\": \"0\", \"bbox\": [294, 77, 300, 87]}, {\"cell\": \"0\", \"bbox\": [367, 77, 373, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 77, 437, 87]}, {\"cell\": \"0\", \"bbox\": [504, 77, 510, 87]}, {\"cell\": \"0\", \"bbox\": [572, 77, 578, 87]}, {\"cell\": \"<i>An. punctipennis</i>\", \"bbox\": [1, 91, 54, 101]}, {\"cell\": \"168\", \"bbox\": [70, 91, 84, 101]}, {\"cell\": \"1\", \"bbox\": [107, 91, 113, 101]}, {\"cell\": \"0.6 %\", \"bbox\": [178, 91, 197, 101]}, {\"cell\": \"0\", \"bbox\": [230, 91, 236, 101]}, {\"cell\": \"0\", \"bbox\": [294, 91, 300, 101]}, {\"cell\": \"0\", \"bbox\": [367, 91, 373, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 91, 437, 101]}, {\"cell\": \"0\", \"bbox\": [504, 91, 510, 101]}, {\"cell\": \"0\", \"bbox\": [572, 91, 578, 101]}, {\"cell\": \"<i>Cx. erythrothorax</i>\", \"bbox\": [1, 105, 55, 115]}, {\"cell\": \"297\", \"bbox\": [70, 105, 84, 115]}, {\"cell\": \"0\", \"bbox\": [107, 105, 113, 115]}, {\"cell\": \"0\", \"bbox\": [178, 105, 183, 115]}, {\"cell\": \"0\", \"bbox\": [230, 105, 236, 115]}, {\"cell\": \"0\", \"bbox\": [294, 105, 300, 115]}, {\"cell\": \"-\", \"bbox\": [367, 105, 371, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 105, 435, 115]}, {\"cell\": \"-\", \"bbox\": [504, 105, 508, 115]}, {\"cell\": \"-\", \"bbox\": [572, 105, 577, 115]}, {\"cell\": \"<i>Cx. pipiens</i> complex\", \"bbox\": [1, 119, 65, 129]}, {\"cell\": \"551\", \"bbox\": [70, 119, 84, 129]}, {\"cell\": \"1\", \"bbox\": [107, 119, 113, 129]}, {\"cell\": \"0.2 %\", \"bbox\": [178, 119, 197, 129]}, {\"cell\": \"3\", \"bbox\": [230, 119, 236, 129]}, {\"cell\": \"0.5 %\", \"bbox\": [294, 119, 313, 129]}, {\"cell\": \"0\", \"bbox\": [367, 119, 373, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 119, 437, 129]}, {\"cell\": \"3\", \"bbox\": [504, 119, 510, 129]}, {\"cell\": \"0.5 %\", \"bbox\": [572, 119, 592, 129]}, {\"cell\": \"<i>Cx. restuans</i>\", \"bbox\": [1, 133, 39, 143]}, {\"cell\": \"167\", \"bbox\": [70, 133, 84, 143]}, {\"cell\": \"1\", \"bbox\": [107, 133, 113, 143]}, {\"cell\": \"0.6 %\", \"bbox\": [178, 133, 197, 143]}, {\"cell\": \"3\", \"bbox\": [230, 133, 236, 143]}, {\"cell\": \"1.8 %\", \"bbox\": [294, 133, 313, 143]}, {\"cell\": \"2\", \"bbox\": [367, 133, 373, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 133, 450, 143]}, {\"cell\": \"1\", \"bbox\": [504, 133, 510, 143]}, {\"cell\": \"0.6 %\", \"bbox\": [572, 133, 592, 143]}, {\"cell\": \"<i>Cx. stigmatosoma</i>\", \"bbox\": [1, 147, 58, 157]}, {\"cell\": \"693\", \"bbox\": [70, 147, 84, 157]}, {\"cell\": \"1\", \"bbox\": [107, 147, 113, 157]}, {\"cell\": \"0.1 %\", \"bbox\": [178, 147, 197, 157]}, {\"cell\": \"53\", \"bbox\": [230, 147, 240, 157]}, {\"cell\": \"7.6 %\", \"bbox\": [294, 147, 313, 157]}, {\"cell\": \"44\", \"bbox\": [367, 147, 377, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 147, 450, 157]}, {\"cell\": \"39\", \"bbox\": [504, 147, 513, 157]}, {\"cell\": \"5.6 %\", \"bbox\": [572, 147, 592, 157]}, {\"cell\": \"<i>Cx. tarsalis</i>\", \"bbox\": [1, 161, 35, 171]}, {\"cell\": \"464\", \"bbox\": [70, 161, 84, 171]}, {\"cell\": \"3\", \"bbox\": [107, 161, 113, 171]}, {\"cell\": \"0.6 %\", \"bbox\": [178, 161, 197, 171]}, {\"cell\": \"15\", \"bbox\": [230, 161, 240, 171]}, {\"cell\": \"3.2 %\", \"bbox\": [294, 161, 313, 171]}, {\"cell\": \"11\", \"bbox\": [367, 161, 377, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 161, 450, 171]}, {\"cell\": \"13\", \"bbox\": [504, 161, 513, 171]}, {\"cell\": \"2.8 %\", \"bbox\": [572, 161, 592, 171]}, {\"cell\": \"<i>Cx. thriambus</i>\", \"bbox\": [1, 175, 45, 185]}, {\"cell\": \"59\", \"bbox\": [70, 175, 80, 185]}, {\"cell\": \"0\", \"bbox\": [107, 175, 113, 185]}, {\"cell\": \"0\", \"bbox\": [178, 175, 183, 185]}, {\"cell\": \"0\", \"bbox\": [230, 175, 236, 185]}, {\"cell\": \"0\", \"bbox\": [294, 175, 300, 185]}, {\"cell\": \"-\", \"bbox\": [367, 175, 371, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 175, 435, 185]}, {\"cell\": \"-\", \"bbox\": [504, 175, 508, 185]}, {\"cell\": \"-\", \"bbox\": [572, 175, 577, 185]}, {\"cell\": \"<i>Cs. impatiens</i>\", \"bbox\": [1, 189, 43, 199]}, {\"cell\": \"4\", \"bbox\": [70, 189, 76, 199]}, {\"cell\": \"0\", \"bbox\": [107, 189, 113, 199]}, {\"cell\": \"0\", \"bbox\": [178, 189, 183, 199]}, {\"cell\": \"0\", \"bbox\": [230, 189, 236, 199]}, {\"cell\": \"0\", \"bbox\": [294, 189, 300, 199]}, {\"cell\": \"-\", \"bbox\": [367, 189, 371, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 189, 435, 199]}, {\"cell\": \"-\", \"bbox\": [504, 189, 508, 199]}, {\"cell\": \"-\", \"bbox\": [572, 189, 577, 199]}, {\"cell\": \"<i>Cs. incidens</i>\", \"bbox\": [1, 203, 38, 213]}, {\"cell\": \"7\", \"bbox\": [70, 203, 76, 213]}, {\"cell\": \"0\", \"bbox\": [107, 203, 113, 213]}, {\"cell\": \"0\", \"bbox\": [178, 203, 183, 213]}, {\"cell\": \"0\", \"bbox\": [230, 203, 236, 213]}, {\"cell\": \"0\", \"bbox\": [294, 203, 300, 213]}, {\"cell\": \"-\", \"bbox\": [367, 203, 371, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 203, 435, 213]}, {\"cell\": \"-\", \"bbox\": [504, 203, 508, 213]}, {\"cell\": \"-\", \"bbox\": [572, 203, 577, 213]}, {\"cell\": \"<i>Cs. inornata</i>\", \"bbox\": [1, 217, 40, 227]}, {\"cell\": \"8\", \"bbox\": [70, 217, 76, 227]}, {\"cell\": \"0\", \"bbox\": [107, 217, 113, 227]}, {\"cell\": \"0\", \"bbox\": [178, 217, 183, 227]}, {\"cell\": \"0\", \"bbox\": [230, 217, 236, 227]}, {\"cell\": \"0\", \"bbox\": [294, 217, 300, 227]}, {\"cell\": \"-\", \"bbox\": [367, 217, 371, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 217, 435, 227]}, {\"cell\": \"-\", \"bbox\": [504, 217, 508, 227]}, {\"cell\": \"-\", \"bbox\": [572, 217, 577, 227]}, {\"cell\": \"<i>Cs. particeps</i>\", \"bbox\": [1, 231, 41, 241]}, {\"cell\": \"240\", \"bbox\": [70, 231, 84, 241]}, {\"cell\": \"2\", \"bbox\": [107, 231, 113, 241]}, {\"cell\": \"0.8 %\", \"bbox\": [178, 231, 197, 241]}, {\"cell\": \"2\", \"bbox\": [230, 231, 236, 241]}, {\"cell\": \"0.8 %\", \"bbox\": [294, 231, 313, 241]}, {\"cell\": \"0\", \"bbox\": [367, 231, 373, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 231, 437, 241]}, {\"cell\": \"0\", \"bbox\": [504, 231, 510, 241]}, {\"cell\": \"0\", \"bbox\": [572, 231, 578, 241]}, {\"cell\": \"Total\", \"bbox\": [1, 245, 18, 255]}, {\"cell\": \"3083\", \"bbox\": [70, 245, 88, 255]}, {\"cell\": \"14\", \"bbox\": [107, 245, 117, 255]}, {\"cell\": \"0.5 %\", \"bbox\": [178, 245, 197, 255]}, {\"cell\": \"76\", \"bbox\": [230, 245, 240, 255]}, {\"cell\": \"2.4 %\", \"bbox\": [294, 245, 313, 255]}, {\"cell\": \"57\", \"bbox\": [367, 245, 377, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 245, 450, 255]}, {\"cell\": \"56\", \"bbox\": [504, 245, 513, 255]}, {\"cell\": \"1.8 %\", \"bbox\": [572, 245, 592, 255]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4702297_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}638{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\" colspan=\\\"2\\\"><b>Factors</b></td><td colspan=\\\"2\\\"><b>RH use</b></td><td rowspan=\\\"2\\\"><b>COR [95% C.I], P-value</b></td><td rowspan=\\\"2\\\"><b>AOR [95% C.I]</b></td></tr><tr><td><b>Yes</b></td><td><b>No</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Had history sexual intercourse</td><td>Yes</td><td>[EMPTY_CELL]</td><td>17</td><td>4.79 (2.77-8.28), 0.00</td><td>5.99 (2.60-13.81)*</td></tr><tr><td>No</td><td>245</td><td>[EMPTY_CELL]</td><td>1.00</td><td>1.00</td></tr><tr><td rowspan=\\\"2\\\">Know any modern contraceptive</td><td>Yes</td><td>[EMPTY_CELL]</td><td>88</td><td>2.88 (1.64-5.08), 0.00</td><td>3.55 (1.26-9.99)*</td></tr><tr><td>No</td><td>38</td><td>[EMPTY_CELL]</td><td>1.00</td><td>100</td></tr><tr><td rowspan=\\\"2\\\">Ever discussed on modern contraceptives</td><td>Yes</td><td>[EMPTY_CELL]</td><td>59</td><td>2.53 (1.65-3.88), 0.00</td><td>-</td></tr><tr><td>No</td><td>118</td><td>[EMPTY_CELL]</td><td>1.00</td><td>-</td></tr><tr><td rowspan=\\\"2\\\">Discussion on family planning with partner</td><td>Yes</td><td>[EMPTY_CELL]</td><td>14</td><td>2.40 (1.27-4.54), 0.00</td><td>1.37 (0.64-2.91)</td></tr><tr><td>No</td><td>193</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Discussion on family planning with health profession</td><td>Yes</td><td>[EMPTY_CELL]</td><td>6</td><td>3.32 (1.38-7.98), 0.007</td><td>2.90 (1.06-7.96)*</td></tr><tr><td>No</td><td>245</td><td>[EMPTY_CELL]</td><td>1.00</td><td>1.00</td></tr><tr><td rowspan=\\\"2\\\">Had STI diagnosis and treatment service information</td><td>Yes</td><td>[EMPTY_CELL]</td><td>91</td><td>2.36 (1.31-4.23), 0.004</td><td>-</td></tr><tr><td>No</td><td>39</td><td>[EMPTY_CELL]</td><td>1.00</td><td>-</td></tr><tr><td rowspan=\\\"2\\\">Health profession as STI diagnosis & treatment service information source</td><td>Yes</td><td>[EMPTY_CELL]</td><td>40</td><td>1.69 (1.07-2.66), 0.025</td><td>1.13 (0.57-2.21)</td></tr><tr><td>No</td><td>180</td><td>[EMPTY_CELL]</td><td>1.00</td><td>1.00</td></tr><tr><td rowspan=\\\"2\\\">Discussed about STI</td><td>Yes</td><td>[EMPTY_CELL]</td><td>52</td><td>1.86 (1.23-2.83), 0.004</td><td>1.18 (0.58-2.42)</td></tr><tr><td>No</td><td>173</td><td>[EMPTY_CELL]</td><td>1.00</td><td>1.00</td></tr><tr><td rowspan=\\\"2\\\">Heard VCT service</td><td>Yes</td><td>[EMPTY_CELL]</td><td>101</td><td>2.91 (1.27-6.67), 0.012</td><td>0.78 (0.14-4.40)</td></tr><tr><td>No</td><td>15</td><td>[EMPTY_CELL]</td><td>1.00</td><td>1.00</td></tr><tr><td rowspan=\\\"2\\\">Discussed on VCT</td><td>Yes</td><td>[EMPTY_CELL]</td><td>59</td><td>7.02 (4.37-11.26), 0.000</td><td>3.76 (1.55-9.11)*</td></tr><tr><td>No</td><td>51</td><td>[EMPTY_CELL]</td><td>1.00</td><td>1.00</td></tr><tr><td rowspan=\\\"2\\\">Experienced STI syndrome</td><td>Yes</td><td>[EMPTY_CELL]</td><td>13</td><td>2.56 (1.39-4.75), 0.003</td><td>1.54 (0.67-3.51)</td></tr><tr><td>No</td><td>341</td><td>[EMPTY_CELL]</td><td>1.00</td><td>1.00</td></tr><tr><td rowspan=\\\"4\\\">Class year</td><td>I</td><td>[EMPTY_CELL]</td><td>52</td><td>1.00</td><td>1.00</td></tr><tr><td>II</td><td>174</td><td>[EMPTY_CELL]</td><td>0.40 (0.24-0.67), 0.000</td><td>0.30 (0.13-0.70)*</td></tr><tr><td>III</td><td>124</td><td>[EMPTY_CELL]</td><td>0.54 (0.32-0.91), 0.021</td><td>0.56 (0.25-1.24)</td></tr><tr><td>IV+</td><td>26</td><td>[EMPTY_CELL]</td><td>0.59 (0.23-0.1.52), 0.23</td><td>1.08 (0.31-3.78)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Factors</b>\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"<b>RH use</b>\", \"bbox\": [244, 4, 270, 13]}, {\"cell\": \"<b>COR [95% C.I], P-value</b>\", \"bbox\": [327, 4, 379, 22]}, {\"cell\": \"<b>AOR [95% C.I]</b>\", \"bbox\": [428, 4, 479, 13]}, {\"cell\": \"<b>Yes</b>\", \"bbox\": [244, 17, 258, 26]}, {\"cell\": \"<b>No</b>\", \"bbox\": [286, 17, 297, 26]}, {\"cell\": \"Had history sexual intercourse\", \"bbox\": [0, 30, 99, 40]}, {\"cell\": \"Yes\", \"bbox\": [203, 30, 216, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 30, 257, 40]}, {\"cell\": \"17\", \"bbox\": [286, 30, 295, 40]}, {\"cell\": \"4.79 (2.77-8.28), 0.00\", \"bbox\": [327, 30, 393, 40]}, {\"cell\": \"5.99 (2.60-13.81)*\", \"bbox\": [428, 30, 484, 40]}, {\"cell\": \"No\", \"bbox\": [203, 44, 215, 54]}, {\"cell\": \"245\", \"bbox\": [244, 44, 257, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 44, 295, 54]}, {\"cell\": \"1.00\", \"bbox\": [327, 44, 342, 54]}, {\"cell\": \"1.00\", \"bbox\": [428, 44, 443, 54]}, {\"cell\": \"Know any modern contraceptive\", \"bbox\": [0, 58, 108, 68]}, {\"cell\": \"Yes\", \"bbox\": [203, 58, 216, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 58, 257, 68]}, {\"cell\": \"88\", \"bbox\": [286, 58, 295, 68]}, {\"cell\": \"2.88 (1.64-5.08), 0.00\", \"bbox\": [327, 58, 393, 68]}, {\"cell\": \"3.55 (1.26-9.99)*\", \"bbox\": [428, 58, 481, 68]}, {\"cell\": \"No\", \"bbox\": [203, 72, 215, 82]}, {\"cell\": \"38\", \"bbox\": [244, 72, 254, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 72, 295, 82]}, {\"cell\": \"1.00\", \"bbox\": [327, 72, 342, 82]}, {\"cell\": \"100\", \"bbox\": [428, 72, 442, 82]}, {\"cell\": \"Ever discussed on modern contraceptives\", \"bbox\": [0, 86, 136, 96]}, {\"cell\": \"Yes\", \"bbox\": [203, 86, 216, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 86, 257, 96]}, {\"cell\": \"59\", \"bbox\": [286, 86, 295, 96]}, {\"cell\": \"2.53 (1.65-3.88), 0.00\", \"bbox\": [327, 86, 393, 96]}, {\"cell\": \"-\", \"bbox\": [428, 86, 433, 96]}, {\"cell\": \"No\", \"bbox\": [203, 100, 215, 110]}, {\"cell\": \"118\", \"bbox\": [244, 100, 257, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 100, 295, 110]}, {\"cell\": \"1.00\", \"bbox\": [327, 100, 342, 110]}, {\"cell\": \"-\", \"bbox\": [428, 100, 433, 110]}, {\"cell\": \"Discussion on family planning with partner\", \"bbox\": [0, 114, 140, 124]}, {\"cell\": \"Yes\", \"bbox\": [203, 114, 216, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 114, 257, 124]}, {\"cell\": \"14\", \"bbox\": [286, 114, 295, 124]}, {\"cell\": \"2.40 (1.27-4.54), 0.00\", \"bbox\": [327, 114, 393, 124]}, {\"cell\": \"1.37 (0.64-2.91)\", \"bbox\": [428, 114, 477, 124]}, {\"cell\": \"No\", \"bbox\": [203, 128, 215, 138]}, {\"cell\": \"193\", \"bbox\": [244, 128, 257, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 128, 295, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Discussion on family planning with health profession\", \"bbox\": [0, 142, 173, 152]}, {\"cell\": \"Yes\", \"bbox\": [203, 142, 216, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 142, 254, 152]}, {\"cell\": \"6\", \"bbox\": [286, 142, 291, 152]}, {\"cell\": \"3.32 (1.38-7.98), 0.007\", \"bbox\": [327, 142, 397, 152]}, {\"cell\": \"2.90 (1.06-7.96)*\", \"bbox\": [428, 142, 481, 152]}, {\"cell\": \"No\", \"bbox\": [203, 156, 215, 166]}, {\"cell\": \"245\", \"bbox\": [244, 156, 257, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 156, 295, 166]}, {\"cell\": \"1.00\", \"bbox\": [327, 156, 342, 166]}, {\"cell\": \"1.00\", \"bbox\": [428, 156, 443, 166]}, {\"cell\": \"Had STI diagnosis and treatment service information\", \"bbox\": [0, 170, 171, 180]}, {\"cell\": \"Yes\", \"bbox\": [203, 170, 216, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 170, 257, 180]}, {\"cell\": \"91\", \"bbox\": [286, 170, 295, 180]}, {\"cell\": \"2.36 (1.31-4.23), 0.004\", \"bbox\": [327, 170, 397, 180]}, {\"cell\": \"-\", \"bbox\": [428, 170, 433, 180]}, {\"cell\": \"No\", \"bbox\": [203, 184, 215, 194]}, {\"cell\": \"39\", \"bbox\": [244, 184, 254, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 184, 295, 194]}, {\"cell\": \"1.00\", \"bbox\": [327, 184, 342, 194]}, {\"cell\": \"-\", \"bbox\": [428, 184, 433, 194]}, {\"cell\": \"Health profession as STI diagnosis & treatment service information source\", \"bbox\": [0, 198, 176, 217]}, {\"cell\": \"Yes\", \"bbox\": [203, 198, 216, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 198, 257, 208]}, {\"cell\": \"40\", \"bbox\": [286, 198, 295, 208]}, {\"cell\": \"1.69 (1.07-2.66), 0.025\", \"bbox\": [327, 198, 397, 208]}, {\"cell\": \"1.13 (0.57-2.21)\", \"bbox\": [428, 198, 477, 208]}, {\"cell\": \"No\", \"bbox\": [203, 212, 215, 222]}, {\"cell\": \"180\", \"bbox\": [244, 212, 257, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 212, 295, 222]}, {\"cell\": \"1.00\", \"bbox\": [327, 212, 342, 222]}, {\"cell\": \"1.00\", \"bbox\": [428, 212, 443, 222]}, {\"cell\": \"Discussed about STI\", \"bbox\": [0, 226, 66, 236]}, {\"cell\": \"Yes\", \"bbox\": [203, 226, 216, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 226, 257, 236]}, {\"cell\": \"52\", \"bbox\": [286, 226, 295, 236]}, {\"cell\": \"1.86 (1.23-2.83), 0.004\", \"bbox\": [327, 226, 397, 236]}, {\"cell\": \"1.18 (0.58-2.42)\", \"bbox\": [428, 226, 477, 236]}, {\"cell\": \"No\", \"bbox\": [203, 240, 215, 250]}, {\"cell\": \"173\", \"bbox\": [244, 240, 257, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 240, 295, 250]}, {\"cell\": \"1.00\", \"bbox\": [327, 240, 342, 250]}, {\"cell\": \"1.00\", \"bbox\": [428, 240, 443, 250]}, {\"cell\": \"Heard VCT service\", \"bbox\": [1, 254, 60, 264]}, {\"cell\": \"Yes\", \"bbox\": [203, 254, 216, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 254, 257, 264]}, {\"cell\": \"101\", \"bbox\": [286, 254, 299, 264]}, {\"cell\": \"2.91 (1.27-6.67), 0.012\", \"bbox\": [327, 254, 397, 264]}, {\"cell\": \"0.78 (0.14-4.40)\", \"bbox\": [428, 254, 477, 264]}, {\"cell\": \"No\", \"bbox\": [203, 268, 215, 278]}, {\"cell\": \"15\", \"bbox\": [244, 268, 254, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 268, 295, 278]}, {\"cell\": \"1.00\", \"bbox\": [327, 268, 342, 278]}, {\"cell\": \"1.00\", \"bbox\": [428, 268, 443, 278]}, {\"cell\": \"Discussed on VCT\", \"bbox\": [1, 282, 59, 292]}, {\"cell\": \"Yes\", \"bbox\": [203, 282, 216, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 282, 257, 292]}, {\"cell\": \"59\", \"bbox\": [286, 282, 295, 292]}, {\"cell\": \"7.02 (4.37-11.26), 0.000\", \"bbox\": [327, 282, 400, 292]}, {\"cell\": \"3.76 (1.55-9.11)*\", \"bbox\": [428, 282, 481, 292]}, {\"cell\": \"No\", \"bbox\": [203, 296, 215, 306]}, {\"cell\": \"51\", \"bbox\": [244, 296, 254, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 296, 295, 306]}, {\"cell\": \"1.00\", \"bbox\": [327, 296, 342, 306]}, {\"cell\": \"1.00\", \"bbox\": [428, 296, 443, 306]}, {\"cell\": \"Experienced STI syndrome\", \"bbox\": [1, 310, 87, 320]}, {\"cell\": \"Yes\", \"bbox\": [203, 310, 216, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 310, 257, 320]}, {\"cell\": \"13\", \"bbox\": [286, 310, 295, 320]}, {\"cell\": \"2.56 (1.39-4.75), 0.003\", \"bbox\": [327, 310, 397, 320]}, {\"cell\": \"1.54 (0.67-3.51)\", \"bbox\": [428, 310, 477, 320]}, {\"cell\": \"No\", \"bbox\": [203, 324, 215, 334]}, {\"cell\": \"341\", \"bbox\": [244, 324, 257, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 324, 295, 334]}, {\"cell\": \"1.00\", \"bbox\": [327, 324, 342, 334]}, {\"cell\": \"1.00\", \"bbox\": [428, 324, 443, 334]}, {\"cell\": \"Class year\", \"bbox\": [1, 338, 34, 348]}, {\"cell\": \"I\", \"bbox\": [203, 338, 207, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 338, 257, 348]}, {\"cell\": \"52\", \"bbox\": [286, 338, 295, 348]}, {\"cell\": \"1.00\", \"bbox\": [327, 338, 342, 348]}, {\"cell\": \"1.00\", \"bbox\": [428, 338, 443, 348]}, {\"cell\": \"II\", \"bbox\": [203, 352, 209, 362]}, {\"cell\": \"174\", \"bbox\": [244, 352, 257, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 352, 295, 362]}, {\"cell\": \"0.40 (0.24-0.67), 0.000\", \"bbox\": [327, 352, 397, 362]}, {\"cell\": \"0.30 (0.13-0.70)*\", \"bbox\": [428, 352, 481, 362]}, {\"cell\": \"III\", \"bbox\": [203, 366, 210, 376]}, {\"cell\": \"124\", \"bbox\": [244, 366, 257, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 366, 295, 376]}, {\"cell\": \"0.54 (0.32-0.91), 0.021\", \"bbox\": [327, 366, 397, 376]}, {\"cell\": \"0.56 (0.25-1.24)\", \"bbox\": [428, 366, 477, 376]}, {\"cell\": \"IV+\", \"bbox\": [203, 380, 216, 390]}, {\"cell\": \"26\", \"bbox\": [244, 380, 254, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 380, 291, 390]}, {\"cell\": \"0.59 (0.23-0.1.52), 0.23\", \"bbox\": [327, 380, 398, 390]}, {\"cell\": \"1.08 (0.31-3.78)\", \"bbox\": [428, 380, 477, 390]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4304627_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}639{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Strains</b></td><td><b>Genotype or description</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td><b><i>Escherichia coli</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>MG1655</td><td>[EMPTY_CELL]</td><td>Laboratory collection</td></tr><tr><td>DH5α</td><td>[EMPTY_CELL]</td><td>Laboratory collection</td></tr><tr><td>β2163</td><td>[EMPTY_CELL]</td><td>Demarre et al., 2005</td></tr><tr><td><b><i>Buttiauxella</i> spp.</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>B. agrestis</i> CUETM77-167</td><td>[EMPTY_CELL]</td><td>BRC-JCM RIKEN/DSMZ</td></tr><tr><td><i>B. brennerae</i> S1/6-571</td><td>[EMPTY_CELL]</td><td>DSMZ</td></tr><tr><td><i>B. ferragutiae</i> CDC1180-81</td><td>[EMPTY_CELL]</td><td>DSMZ</td></tr><tr><td><i>B. noackiae</i> NSW11</td><td>[EMPTY_CELL]</td><td>DSMZ</td></tr><tr><td><i>B. izardii</i> S32-161</td><td>[EMPTY_CELL]</td><td>DSMZ</td></tr><tr><td><i>B. warmboldiae</i> NSW326</td><td>[EMPTY_CELL]</td><td>DSMZ</td></tr><tr><td><i>B. gaviniae</i> S1/1-984</td><td>[EMPTY_CELL]</td><td>DSMZ</td></tr><tr><td><b>Other strains</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Pseudomonas aeruginosa</i> PAO1</td><td>[EMPTY_CELL]</td><td>Holloway et al., 1979</td></tr><tr><td><i>Corynebacterium glutamicum</i> AJ224</td><td>[EMPTY_CELL]</td><td>BRC-JCM RIKEN</td></tr><tr><td><i>Micrococcus luteus</i> JCM 1464</td><td>[EMPTY_CELL]</td><td>BRC-JCM RIKEN</td></tr><tr><td><i>Bacillus subtilis</i> C1</td><td>[EMPTY_CELL]</td><td>BRC-JCM RIKEN</td></tr><tr><td><i>Flavobacterium johnsoniae</i> JCM 8514</td><td>[EMPTY_CELL]</td><td>BRC-JCM RIKEN</td></tr><tr><td><i>Rhizobium halotolerans</i> JCM 17536</td><td>[EMPTY_CELL]</td><td>BRC-JCM RIKEN</td></tr><tr><td><i>Rhizobium soli</i> DS-42</td><td>[EMPTY_CELL]</td><td>BRC-JCM RIKEN</td></tr><tr><td><i>Hydrogenophaga pseudoflava</i> GA3</td><td>[EMPTY_CELL]</td><td>BRC-JCM RIKEN</td></tr><tr><td><i>Erwinia persicina</i> HK204</td><td>[EMPTY_CELL]</td><td>BRC-JCM RIKEN</td></tr><tr><td><i>Pseudomonas alcaligenes</i> JCM 20561</td><td>[EMPTY_CELL]</td><td>BRC-JCM RIKEN</td></tr><tr><td><b>Plasmid</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>pBBR1MCS-1</td><td>[EMPTY_CELL]</td><td>Kovach et al., 1995</td></tr><tr><td><b>Primers</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>CamR-f</td><td>[EMPTY_CELL]</td><td>This study</td></tr><tr><td>CamR-r</td><td>[EMPTY_CELL]</td><td>This study</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Strains</b>\", \"bbox\": [1, 6, 26, 15]}, {\"cell\": \"<b>Genotype or description</b>\", \"bbox\": [131, 6, 213, 15]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [432, 6, 468, 15]}, {\"cell\": \"<b><i>Escherichia coli</i></b>\", \"bbox\": [1, 24, 55, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MG1655\", \"bbox\": [1, 35, 29, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 35, 200, 43]}, {\"cell\": \"Laboratory collection\", \"bbox\": [432, 35, 497, 43]}, {\"cell\": \"DH5α\", \"bbox\": [1, 46, 20, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 45, 419, 64]}, {\"cell\": \"Laboratory collection\", \"bbox\": [432, 46, 497, 55]}, {\"cell\": \"β2163\", \"bbox\": [0, 67, 22, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 66, 267, 75]}, {\"cell\": \"Demarre et al., 2005\", \"bbox\": [432, 67, 495, 75]}, {\"cell\": \"<b><i>Buttiauxella</i> spp.</b>\", \"bbox\": [1, 78, 59, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>B. agrestis</i> CUETM77-167\", \"bbox\": [1, 90, 82, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 90, 202, 98]}, {\"cell\": \"BRC-JCM RIKEN/DSMZ\", \"bbox\": [432, 90, 508, 98]}, {\"cell\": \"<i>B. brennerae</i> S1/6-571\", \"bbox\": [0, 101, 72, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 101, 165, 110]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 101, 453, 110]}, {\"cell\": \"<i>B. ferragutiae</i> CDC1180-81\", \"bbox\": [0, 112, 85, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 112, 165, 121]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 112, 453, 121]}, {\"cell\": \"<i>B. noackiae</i> NSW11\", \"bbox\": [0, 124, 63, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 124, 165, 132]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 124, 453, 132]}, {\"cell\": \"<i>B. izardii</i> S32-161\", \"bbox\": [0, 135, 56, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 135, 165, 144]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 135, 453, 144]}, {\"cell\": \"<i>B. warmboldiae</i> NSW326\", \"bbox\": [0, 146, 79, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 146, 165, 155]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 146, 453, 155]}, {\"cell\": \"<i>B. gaviniae</i> S1/1-984\", \"bbox\": [0, 158, 66, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 158, 165, 166]}, {\"cell\": \"DSMZ\", \"bbox\": [432, 158, 453, 166]}, {\"cell\": \"<b>Other strains</b>\", \"bbox\": [0, 169, 46, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Pseudomonas aeruginosa</i> PAO1\", \"bbox\": [0, 181, 100, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 181, 165, 189]}, {\"cell\": \"Holloway et al., 1979\", \"bbox\": [432, 181, 497, 189]}, {\"cell\": \"<i>Corynebacterium glutamicum</i> AJ224\", \"bbox\": [1, 192, 113, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 192, 164, 200]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 192, 487, 200]}, {\"cell\": \"<i>Micrococcus luteus</i> JCM 1464\", \"bbox\": [1, 203, 95, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 203, 164, 212]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 203, 487, 212]}, {\"cell\": \"<i>Bacillus subtilis</i> C1\", \"bbox\": [0, 215, 59, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 215, 164, 223]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 215, 487, 223]}, {\"cell\": \"<i>Flavobacterium johnsoniae</i> JCM 8514\", \"bbox\": [0, 226, 116, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 226, 164, 234]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 226, 487, 234]}, {\"cell\": \"<i>Rhizobium halotolerans</i> JCM 17536\", \"bbox\": [0, 237, 110, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 237, 168, 246]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 237, 487, 246]}, {\"cell\": \"<i>Rhizobium soli</i> DS-42\", \"bbox\": [0, 249, 67, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 249, 168, 257]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 249, 487, 257]}, {\"cell\": \"<i>Hydrogenophaga pseudoflava</i> GA3\", \"bbox\": [0, 260, 109, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 260, 168, 269]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 260, 487, 269]}, {\"cell\": \"<i>Erwinia persicina</i> HK204\", \"bbox\": [0, 271, 76, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 271, 164, 280]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 271, 487, 280]}, {\"cell\": \"<i>Pseudomonas alcaligenes</i> JCM 20561\", \"bbox\": [0, 283, 119, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 283, 168, 291]}, {\"cell\": \"BRC-JCM RIKEN\", \"bbox\": [432, 283, 487, 291]}, {\"cell\": \"<b>Plasmid</b>\", \"bbox\": [0, 294, 29, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"pBBR1MCS-1\", \"bbox\": [0, 305, 46, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 304, 270, 314]}, {\"cell\": \"Kovach et al., 1995\", \"bbox\": [432, 305, 492, 314]}, {\"cell\": \"<b>Primers</b>\", \"bbox\": [1, 317, 29, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CamR-f\", \"bbox\": [1, 328, 26, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 328, 246, 337]}, {\"cell\": \"This study\", \"bbox\": [432, 328, 464, 337]}, {\"cell\": \"CamR-r\", \"bbox\": [1, 340, 26, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 339, 241, 348]}, {\"cell\": \"This study\", \"bbox\": [432, 340, 464, 348]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5383704_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}640{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Pre</b></td><td colspan=\\\"2\\\"><b>Post</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Mean</b></td><td><b>SD</b></td><td><b>Mean</b></td><td><b>SD</b></td><td><b><i>d</i></b></td></tr></thead><tbody><tr><td>Standardized Gait</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Gait Velocity (m/s)</td><td>0.82</td><td>[EMPTY_CELL]</td><td>0.83</td><td>0.04</td><td>0.32</td></tr><tr><td> Stride Length (m)</td><td>0.85</td><td>[EMPTY_CELL]</td><td>0.88</td><td>0.04</td><td><b>0.75</b></td></tr><tr><td> Hip Flexion (°)</td><td>26.74</td><td>[EMPTY_CELL]</td><td>27.56</td><td>3.46</td><td>0.25</td></tr><tr><td> Hip Adduction (°)</td><td>10.31</td><td>[EMPTY_CELL]</td><td>10.29</td><td>2.11</td><td>−0.01</td></tr><tr><td> Hip Internal Rotation (°)</td><td>0.15</td><td>[EMPTY_CELL]</td><td>−0.01</td><td>3.08</td><td>−0.05</td></tr><tr><td> Knee Flexion (°)</td><td>−17.07</td><td>[EMPTY_CELL]</td><td>−15.91</td><td>6.29</td><td>0.19</td></tr><tr><td> Knee Abduction (°)</td><td>−2.88</td><td>[EMPTY_CELL]</td><td>−2.39</td><td>2.40</td><td>0.20</td></tr><tr><td> Knee Internal Rotation (°)</td><td>4.38</td><td>[EMPTY_CELL]</td><td>4.59</td><td>3.15</td><td>0.08</td></tr><tr><td> Ankle Dorsiflexion (°)</td><td>8.50</td><td>[EMPTY_CELL]</td><td>7.47</td><td>4.03</td><td>−0.29</td></tr><tr><td> Ankle Eversion (°)</td><td>−5.80</td><td>[EMPTY_CELL]</td><td>−6.20</td><td>1.92</td><td>−0.21</td></tr><tr><td>Drop Vertical Jump</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Hip Flexion (°)</td><td>56.91</td><td>[EMPTY_CELL]</td><td>64.90</td><td>6.37</td><td><b>0.91</b></td></tr><tr><td> Hip Adduction (°)</td><td>3.67</td><td>[EMPTY_CELL]</td><td>3.17</td><td>3.69</td><td>−0.14</td></tr><tr><td> Hip Internal Rotation (°)</td><td>4.96</td><td>[EMPTY_CELL]</td><td>4.38</td><td>4.29</td><td>−0.13</td></tr><tr><td> Knee Flexion (°)</td><td>−82.10</td><td>[EMPTY_CELL]</td><td>−82.32</td><td>5.32</td><td>−0.03</td></tr><tr><td> Knee Abduction (°)</td><td>−9.70</td><td>[EMPTY_CELL]</td><td>−9.82</td><td>5.34</td><td>−0.02</td></tr><tr><td> Knee Internal Rotation (°)</td><td>5.03</td><td>[EMPTY_CELL]</td><td>3.83</td><td>6.30</td><td>−0.18</td></tr><tr><td> Ankle Dorsiflexion (°)</td><td>30.68</td><td>[EMPTY_CELL]</td><td>29.13</td><td>4.12</td><td>−0.38</td></tr><tr><td> Ankle Eversion (°)</td><td>1.39</td><td>[EMPTY_CELL]</td><td>1.84</td><td>2.94</td><td>0.13</td></tr><tr><td> Trunk Flexion (°)</td><td>16.89</td><td>[EMPTY_CELL]</td><td>23.62</td><td>7.04</td><td><b>0.96</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Pre</b>\", \"bbox\": [100, 4, 112, 13]}, {\"cell\": \"<b>Post</b>\", \"bbox\": [160, 4, 176, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [100, 17, 120, 27]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [132, 17, 143, 27]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [160, 17, 180, 27]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [193, 17, 204, 27]}, {\"cell\": \"<b><i>d</i></b>\", \"bbox\": [217, 17, 223, 25]}, {\"cell\": \"Standardized Gait\", \"bbox\": [1, 30, 59, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Gait Velocity (m/s)\", \"bbox\": [8, 44, 69, 54]}, {\"cell\": \"0.82\", \"bbox\": [100, 44, 115, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 44, 147, 54]}, {\"cell\": \"0.83\", \"bbox\": [160, 44, 175, 54]}, {\"cell\": \"0.04\", \"bbox\": [193, 44, 208, 54]}, {\"cell\": \"0.32\", \"bbox\": [217, 44, 232, 54]}, {\"cell\": \" Stride Length (m)\", \"bbox\": [8, 58, 67, 68]}, {\"cell\": \"0.85\", \"bbox\": [100, 58, 115, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 58, 147, 68]}, {\"cell\": \"0.88\", \"bbox\": [160, 58, 175, 68]}, {\"cell\": \"0.04\", \"bbox\": [193, 58, 208, 68]}, {\"cell\": \"<b>0.75</b>\", \"bbox\": [217, 59, 233, 66]}, {\"cell\": \" Hip Flexion (°)\", \"bbox\": [8, 72, 55, 82]}, {\"cell\": \"26.74\", \"bbox\": [100, 72, 118, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 72, 147, 82]}, {\"cell\": \"27.56\", \"bbox\": [160, 72, 179, 82]}, {\"cell\": \"3.46\", \"bbox\": [193, 72, 208, 82]}, {\"cell\": \"0.25\", \"bbox\": [217, 72, 232, 82]}, {\"cell\": \" Hip Adduction (°)\", \"bbox\": [8, 86, 66, 96]}, {\"cell\": \"10.31\", \"bbox\": [100, 86, 118, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 86, 147, 96]}, {\"cell\": \"10.29\", \"bbox\": [160, 86, 179, 96]}, {\"cell\": \"2.11\", \"bbox\": [193, 86, 208, 96]}, {\"cell\": \"−0.01\", \"bbox\": [217, 86, 236, 96]}, {\"cell\": \" Hip Internal Rotation (°)\", \"bbox\": [8, 100, 86, 110]}, {\"cell\": \"0.15\", \"bbox\": [100, 100, 115, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 100, 147, 110]}, {\"cell\": \"−0.01\", \"bbox\": [160, 100, 180, 110]}, {\"cell\": \"3.08\", \"bbox\": [193, 100, 208, 110]}, {\"cell\": \"−0.05\", \"bbox\": [217, 100, 236, 110]}, {\"cell\": \" Knee Flexion (°)\", \"bbox\": [8, 114, 60, 124]}, {\"cell\": \"−17.07\", \"bbox\": [100, 114, 123, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 114, 147, 124]}, {\"cell\": \"−15.91\", \"bbox\": [160, 114, 184, 124]}, {\"cell\": \"6.29\", \"bbox\": [193, 114, 208, 124]}, {\"cell\": \"0.19\", \"bbox\": [217, 114, 232, 124]}, {\"cell\": \" Knee Abduction (°)\", \"bbox\": [8, 128, 71, 138]}, {\"cell\": \"−2.88\", \"bbox\": [100, 128, 119, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 128, 147, 138]}, {\"cell\": \"−2.39\", \"bbox\": [160, 128, 180, 138]}, {\"cell\": \"2.40\", \"bbox\": [193, 128, 208, 138]}, {\"cell\": \"0.20\", \"bbox\": [217, 128, 232, 138]}, {\"cell\": \" Knee Internal Rotation (°)\", \"bbox\": [8, 142, 91, 152]}, {\"cell\": \"4.38\", \"bbox\": [100, 142, 115, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 142, 147, 152]}, {\"cell\": \"4.59\", \"bbox\": [160, 142, 175, 152]}, {\"cell\": \"3.15\", \"bbox\": [193, 142, 208, 152]}, {\"cell\": \"0.08\", \"bbox\": [217, 142, 232, 152]}, {\"cell\": \" Ankle Dorsiflexion (°)\", \"bbox\": [8, 156, 77, 166]}, {\"cell\": \"8.50\", \"bbox\": [100, 156, 115, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 156, 147, 166]}, {\"cell\": \"7.47\", \"bbox\": [160, 156, 175, 166]}, {\"cell\": \"4.03\", \"bbox\": [193, 156, 208, 166]}, {\"cell\": \"−0.29\", \"bbox\": [217, 156, 236, 166]}, {\"cell\": \" Ankle Eversion (°)\", \"bbox\": [8, 170, 66, 180]}, {\"cell\": \"−5.80\", \"bbox\": [100, 170, 119, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 170, 147, 180]}, {\"cell\": \"−6.20\", \"bbox\": [160, 170, 180, 180]}, {\"cell\": \"1.92\", \"bbox\": [193, 170, 208, 180]}, {\"cell\": \"−0.21\", \"bbox\": [217, 170, 236, 180]}, {\"cell\": \"Drop Vertical Jump\", \"bbox\": [1, 184, 64, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hip Flexion (°)\", \"bbox\": [8, 198, 55, 208]}, {\"cell\": \"56.91\", \"bbox\": [100, 198, 118, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 198, 151, 208]}, {\"cell\": \"64.90\", \"bbox\": [160, 198, 179, 208]}, {\"cell\": \"6.37\", \"bbox\": [193, 198, 208, 208]}, {\"cell\": \"<b>0.91</b>\", \"bbox\": [217, 199, 233, 206]}, {\"cell\": \" Hip Adduction (°)\", \"bbox\": [8, 212, 66, 222]}, {\"cell\": \"3.67\", \"bbox\": [100, 212, 115, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 212, 147, 222]}, {\"cell\": \"3.17\", \"bbox\": [160, 212, 175, 222]}, {\"cell\": \"3.69\", \"bbox\": [193, 212, 208, 222]}, {\"cell\": \"−0.14\", \"bbox\": [217, 212, 236, 222]}, {\"cell\": \" Hip Internal Rotation (°)\", \"bbox\": [8, 226, 86, 236]}, {\"cell\": \"4.96\", \"bbox\": [100, 226, 115, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 226, 147, 236]}, {\"cell\": \"4.38\", \"bbox\": [160, 226, 175, 236]}, {\"cell\": \"4.29\", \"bbox\": [193, 226, 208, 236]}, {\"cell\": \"−0.13\", \"bbox\": [217, 226, 236, 236]}, {\"cell\": \" Knee Flexion (°)\", \"bbox\": [8, 240, 60, 250]}, {\"cell\": \"−82.10\", \"bbox\": [100, 240, 123, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 240, 147, 250]}, {\"cell\": \"−82.32\", \"bbox\": [160, 240, 184, 250]}, {\"cell\": \"5.32\", \"bbox\": [193, 240, 208, 250]}, {\"cell\": \"−0.03\", \"bbox\": [217, 240, 236, 250]}, {\"cell\": \" Knee Abduction (°)\", \"bbox\": [8, 254, 71, 264]}, {\"cell\": \"−9.70\", \"bbox\": [100, 254, 119, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 254, 147, 264]}, {\"cell\": \"−9.82\", \"bbox\": [160, 254, 180, 264]}, {\"cell\": \"5.34\", \"bbox\": [193, 254, 208, 264]}, {\"cell\": \"−0.02\", \"bbox\": [217, 254, 236, 264]}, {\"cell\": \" Knee Internal Rotation (°)\", \"bbox\": [8, 268, 91, 278]}, {\"cell\": \"5.03\", \"bbox\": [100, 268, 115, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 268, 147, 278]}, {\"cell\": \"3.83\", \"bbox\": [160, 268, 175, 278]}, {\"cell\": \"6.30\", \"bbox\": [193, 268, 208, 278]}, {\"cell\": \"−0.18\", \"bbox\": [217, 268, 236, 278]}, {\"cell\": \" Ankle Dorsiflexion (°)\", \"bbox\": [8, 282, 77, 292]}, {\"cell\": \"30.68\", \"bbox\": [100, 282, 118, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 282, 147, 292]}, {\"cell\": \"29.13\", \"bbox\": [160, 282, 179, 292]}, {\"cell\": \"4.12\", \"bbox\": [193, 282, 208, 292]}, {\"cell\": \"−0.38\", \"bbox\": [217, 282, 236, 292]}, {\"cell\": \" Ankle Eversion (°)\", \"bbox\": [8, 296, 66, 306]}, {\"cell\": \"1.39\", \"bbox\": [100, 296, 115, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 296, 147, 306]}, {\"cell\": \"1.84\", \"bbox\": [160, 296, 175, 306]}, {\"cell\": \"2.94\", \"bbox\": [193, 296, 208, 306]}, {\"cell\": \"0.13\", \"bbox\": [217, 296, 232, 306]}, {\"cell\": \" Trunk Flexion (°)\", \"bbox\": [8, 310, 62, 320]}, {\"cell\": \"16.89\", \"bbox\": [100, 310, 118, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 310, 147, 320]}, {\"cell\": \"23.62\", \"bbox\": [160, 310, 179, 320]}, {\"cell\": \"7.04\", \"bbox\": [193, 310, 208, 320]}, {\"cell\": \"<b>0.96</b>\", \"bbox\": [217, 311, 233, 318]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4957340_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}641{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Acetic acid /μg m<sup>-3</sup>Location</b></td><td colspan=\\\"3\\\"><b>Formic acid / μg m<sup>-3</sup>Location</b></td><td colspan=\\\"3\\\"><b>Formaldehyde / μg m<sup>-3</sup>Location</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>A</b></td><td><b>B</b></td><td><b>C</b></td><td><b>A</b></td><td><b>B</b></td><td><b>C</b></td><td><b>A</b></td><td><b>B</b></td><td><b>C</b></td></tr></thead><tbody><tr><td><b>National Archives of Scotland (NAS)</b></td><td>250 ± 212</td><td>119 ± 16</td><td>69 ± 1</td><td>58 ± 13</td><td>37 ± 12</td><td>[EMPTY_CELL]</td><td>6 ± 1</td><td>4 ± 1</td><td>7 ± 1</td></tr><tr><td><b>National Library of Scotland (NLS)</b></td><td>221 ± 195</td><td>91 ± 1</td><td>98 ± 15</td><td>30 ± 6</td><td>30 ± 3</td><td>[EMPTY_CELL]</td><td>8 ± 1</td><td>14 ± 2</td><td>12 ± 1</td></tr><tr><td><b>British Library (BL)</b></td><td>222 ± 16</td><td>348 ± 33</td><td>52 ± 27</td><td>40 ± 1</td><td>310 ± 86</td><td>[EMPTY_CELL]</td><td>7 ± 1</td><td>15 ± 3</td><td>4 ± 1</td></tr><tr><td><b>Cambridge University Library (CUL)</b></td><td>158 ± 25</td><td>274 ± 83</td><td>109 ± 34</td><td>67 ± 18</td><td>72 ± 21</td><td>[EMPTY_CELL]</td><td>18 ± 1</td><td>3 ± 1</td><td>5 ± 1</td></tr><tr><td><b>The National Archives (TNA)</b></td><td>57 ± 30</td><td>104 ± 33</td><td>36 ± 2</td><td>32 ± 4</td><td>55 ± 20</td><td>[EMPTY_CELL]</td><td>6 ± 1</td><td>8 ± 1</td><td>8 ± 1</td></tr><tr><td><b>Trinity College Dublin (TCD)</b></td><td>195 ± 10</td><td>137 ± 72</td><td>344 ± 286</td><td>56 ± 16</td><td>57 ± 6</td><td>[EMPTY_CELL]</td><td>12 ± 6</td><td>4 ± 1</td><td>5 ± 1</td></tr><tr><td><b>National Libraries of Wales (NLW)</b></td><td>76 ± 1</td><td>108 ± 41</td><td>122 ± 15</td><td>22 ± 1</td><td>30 ± 7</td><td>[EMPTY_CELL]</td><td>6 ± 1</td><td>7 ± 1</td><td>10 ± 1</td></tr><tr><td><b>Bodleian Library Oxford (OULS)</b></td><td>123 ± 4</td><td>162 ± 21</td><td>132 ± 11</td><td>48 ± 4</td><td>58 ± 24</td><td>[EMPTY_CELL]</td><td>5 ± 1</td><td>6 ± 1</td><td>9 ± 1</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Acetic acid /μg m<sup>-3</sup>Location</b>\", \"bbox\": [134, 3, 234, 14]}, {\"cell\": \"<b>Formic acid / μg m<sup>-3</sup>Location</b>\", \"bbox\": [247, 3, 352, 14]}, {\"cell\": \"<b>Formaldehyde / μg m<sup>-3</sup>Location</b>\", \"bbox\": [365, 3, 479, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>A</b>\", \"bbox\": [144, 17, 151, 27]}, {\"cell\": \"<b>B</b>\", \"bbox\": [181, 17, 188, 27]}, {\"cell\": \"<b>C</b>\", \"bbox\": [218, 17, 225, 27]}, {\"cell\": \"<b>A</b>\", \"bbox\": [255, 17, 262, 27]}, {\"cell\": \"<b>B</b>\", \"bbox\": [292, 17, 299, 27]}, {\"cell\": \"<b>C</b>\", \"bbox\": [334, 17, 340, 27]}, {\"cell\": \"<b>A</b>\", \"bbox\": [376, 17, 383, 27]}, {\"cell\": \"<b>B</b>\", \"bbox\": [419, 17, 425, 27]}, {\"cell\": \"<b>C</b>\", \"bbox\": [461, 17, 468, 27]}, {\"cell\": \"<b>National Archives of Scotland (NAS)</b>\", \"bbox\": [1, 31, 126, 40]}, {\"cell\": \"250 ± 212\", \"bbox\": [129, 31, 162, 39]}, {\"cell\": \"119 ± 16\", \"bbox\": [170, 31, 199, 39]}, {\"cell\": \"69 ± 1\", \"bbox\": [209, 31, 230, 39]}, {\"cell\": \"58 ± 13\", \"bbox\": [246, 31, 271, 39]}, {\"cell\": \"37 ± 12\", \"bbox\": [285, 31, 310, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 31, 349, 39]}, {\"cell\": \"6 ± 1\", \"bbox\": [373, 31, 390, 39]}, {\"cell\": \"4 ± 1\", \"bbox\": [416, 31, 433, 39]}, {\"cell\": \"7 ± 1\", \"bbox\": [458, 31, 475, 39]}, {\"cell\": \"<b>National Library of Scotland (NLS)</b>\", \"bbox\": [1, 44, 120, 53]}, {\"cell\": \"221 ± 195\", \"bbox\": [129, 44, 162, 52]}, {\"cell\": \"91 ± 1\", \"bbox\": [174, 44, 195, 52]}, {\"cell\": \"98 ± 15\", \"bbox\": [209, 44, 234, 52]}, {\"cell\": \"30 ± 6\", \"bbox\": [246, 44, 267, 52]}, {\"cell\": \"30 ± 3\", \"bbox\": [285, 44, 306, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 44, 345, 52]}, {\"cell\": \"8 ± 1\", \"bbox\": [373, 44, 390, 52]}, {\"cell\": \"14 ± 2\", \"bbox\": [412, 44, 433, 52]}, {\"cell\": \"12 ± 1\", \"bbox\": [454, 44, 475, 52]}, {\"cell\": \"<b>British Library (BL)</b>\", \"bbox\": [1, 57, 67, 66]}, {\"cell\": \"222 ± 16\", \"bbox\": [133, 57, 162, 65]}, {\"cell\": \"348 ± 33\", \"bbox\": [170, 57, 199, 65]}, {\"cell\": \"52 ± 27\", \"bbox\": [209, 57, 234, 65]}, {\"cell\": \"40 ± 1\", \"bbox\": [246, 57, 267, 65]}, {\"cell\": \"310 ± 86\", \"bbox\": [282, 57, 310, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 57, 349, 65]}, {\"cell\": \"7 ± 1\", \"bbox\": [373, 57, 390, 65]}, {\"cell\": \"15 ± 3\", \"bbox\": [412, 57, 433, 65]}, {\"cell\": \"4 ± 1\", \"bbox\": [458, 57, 475, 65]}, {\"cell\": \"<b>Cambridge University Library (CUL)</b>\", \"bbox\": [1, 70, 125, 80]}, {\"cell\": \"158 ± 25\", \"bbox\": [133, 71, 162, 78]}, {\"cell\": \"274 ± 83\", \"bbox\": [170, 71, 199, 78]}, {\"cell\": \"109 ± 34\", \"bbox\": [205, 71, 234, 78]}, {\"cell\": \"67 ± 18\", \"bbox\": [246, 71, 271, 78]}, {\"cell\": \"72 ± 21\", \"bbox\": [285, 71, 310, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 71, 345, 78]}, {\"cell\": \"18 ± 1\", \"bbox\": [369, 71, 390, 78]}, {\"cell\": \"3 ± 1\", \"bbox\": [416, 71, 433, 78]}, {\"cell\": \"5 ± 1\", \"bbox\": [458, 71, 475, 78]}, {\"cell\": \"<b>The National Archives (TNA)</b>\", \"bbox\": [1, 83, 100, 93]}, {\"cell\": \"57 ± 30\", \"bbox\": [137, 84, 162, 91]}, {\"cell\": \"104 ± 33\", \"bbox\": [170, 84, 199, 91]}, {\"cell\": \"36 ± 2\", \"bbox\": [209, 84, 230, 91]}, {\"cell\": \"32 ± 4\", \"bbox\": [246, 84, 267, 91]}, {\"cell\": \"55 ± 20\", \"bbox\": [285, 84, 310, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 84, 349, 91]}, {\"cell\": \"6 ± 1\", \"bbox\": [373, 84, 390, 91]}, {\"cell\": \"8 ± 1\", \"bbox\": [416, 84, 433, 91]}, {\"cell\": \"8 ± 1\", \"bbox\": [458, 84, 475, 91]}, {\"cell\": \"<b>Trinity College Dublin (TCD)</b>\", \"bbox\": [1, 96, 100, 106]}, {\"cell\": \"195 ± 10\", \"bbox\": [133, 97, 162, 104]}, {\"cell\": \"137 ± 72\", \"bbox\": [170, 97, 199, 104]}, {\"cell\": \"344 ± 286\", \"bbox\": [205, 97, 237, 104]}, {\"cell\": \"56 ± 16\", \"bbox\": [246, 97, 271, 104]}, {\"cell\": \"57 ± 6\", \"bbox\": [285, 97, 306, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [321, 97, 353, 104]}, {\"cell\": \"12 ± 6\", \"bbox\": [369, 97, 390, 104]}, {\"cell\": \"4 ± 1\", \"bbox\": [416, 97, 433, 104]}, {\"cell\": \"5 ± 1\", \"bbox\": [458, 97, 475, 104]}, {\"cell\": \"<b>National Libraries of Wales (NLW)</b>\", \"bbox\": [1, 110, 119, 119]}, {\"cell\": \"76 ± 1\", \"bbox\": [137, 110, 158, 117]}, {\"cell\": \"108 ± 41\", \"bbox\": [170, 110, 199, 117]}, {\"cell\": \"122 ± 15\", \"bbox\": [205, 110, 234, 117]}, {\"cell\": \"22 ± 1\", \"bbox\": [246, 110, 267, 117]}, {\"cell\": \"30 ± 7\", \"bbox\": [285, 110, 306, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 110, 345, 117]}, {\"cell\": \"6 ± 1\", \"bbox\": [373, 110, 390, 117]}, {\"cell\": \"7 ± 1\", \"bbox\": [416, 110, 433, 117]}, {\"cell\": \"10 ± 1\", \"bbox\": [454, 110, 475, 117]}, {\"cell\": \"<b>Bodleian Library Oxford (OULS)</b>\", \"bbox\": [1, 123, 111, 132]}, {\"cell\": \"123 ± 4\", \"bbox\": [133, 123, 158, 131]}, {\"cell\": \"162 ± 21\", \"bbox\": [170, 123, 199, 131]}, {\"cell\": \"132 ± 11\", \"bbox\": [205, 123, 234, 131]}, {\"cell\": \"48 ± 4\", \"bbox\": [246, 123, 267, 131]}, {\"cell\": \"58 ± 24\", \"bbox\": [285, 123, 310, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [325, 123, 345, 131]}, {\"cell\": \"5 ± 1\", \"bbox\": [373, 123, 390, 131]}, {\"cell\": \"6 ± 1\", \"bbox\": [416, 123, 433, 131]}, {\"cell\": \"9 ± 1\", \"bbox\": [458, 123, 475, 131]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3439258_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}642{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Control group(n = 38)</b></td><td><b>LCBMP(<i>n</i> = 17)</b></td><td><b>LCWMP(<i>n</i> = 2)</b></td></tr></thead><tbody><tr><td>BMI (kg/m<sup>2</sup>)<sup>¶</sup></td><td>20.83 (15.96–31.24)<sup>A*</sup></td><td>24.97 (20.35–40.0) <sup>A*</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>WC (cm)<sup>¶</sup></td><td>72.34 ± 7.97 <sup>A*</sup></td><td>80.21 ± 9.08 <sup>A*</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Homocysteine (mmol/L) <sup>¥</sup></td><td>7.27 ± 1.82 <sup>A,B</sup></td><td>8.59 ± 2.38 <sup>A</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Folate (ng/L)<sup>§</sup></td><td>13.94 (10.4–26.2) <sup>B*</sup></td><td>12.37 (5.8–19.25)</td><td>[EMPTY_CELL]</td></tr><tr><td>Cholesterol (mg/dL)<sup>§</sup></td><td>152.28 ± 31.90</td><td>157.23 ± 42.34</td><td>[EMPTY_CELL]</td></tr><tr><td>HDL (mg/dL)<sup>§</sup></td><td>44.26 (25.0–99.0)</td><td>37.93 (27.0–61.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>LDL(mg/dL)<sup>§</sup></td><td>88.93 ± 27.23</td><td>95.53 ± 27.49</td><td>[EMPTY_CELL]</td></tr><tr><td>Triglycerides (mg/dL)<sup>§</sup></td><td>88.65 (25.0–226.0) <sup>A*, B</sup></td><td>142.82 (31.0–725.0)<sup>A*</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>TNF-α (pg/mL)<sup>§</sup></td><td>7.08 ± 2.41<sup>A, B*</sup></td><td>8.22 ± 2.14<sup>A,C</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>hs-CRP (mg/L)<sup>§</sup></td><td>0.86 (0.30–4.60) <sup>A*, B*</sup></td><td>2.97 (0.30–7.80) <sup>A*,C*</sup></td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>Control group(n = 38)</b>\", \"bbox\": [149, 4, 196, 22]}, {\"cell\": \"<b>LCBMP(<i>n</i> = 17)</b>\", \"bbox\": [285, 4, 311, 22]}, {\"cell\": \"<b>LCWMP(<i>n</i> = 2)</b>\", \"bbox\": [417, 4, 443, 22]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)<sup>¶</sup>\", \"bbox\": [1, 24, 44, 36]}, {\"cell\": \"20.83 (15.96–31.24)<sup>A*</sup>\", \"bbox\": [149, 24, 217, 36]}, {\"cell\": \"24.97 (20.35–40.0) <sup>A*</sup>\", \"bbox\": [285, 24, 352, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 26, 479, 36]}, {\"cell\": \"WC (cm)<sup>¶</sup>\", \"bbox\": [1, 38, 33, 50]}, {\"cell\": \"72.34 ± 7.97 <sup>A*</sup>\", \"bbox\": [149, 38, 196, 50]}, {\"cell\": \"80.21 ± 9.08 <sup>A*</sup>\", \"bbox\": [285, 38, 333, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 40, 447, 50]}, {\"cell\": \"Homocysteine (mmol/L) <sup>¥</sup>\", \"bbox\": [1, 52, 85, 64]}, {\"cell\": \"7.27 ± 1.82 <sup>A,B</sup>\", \"bbox\": [149, 52, 194, 64]}, {\"cell\": \"8.59 ± 2.38 <sup>A</sup>\", \"bbox\": [285, 52, 326, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 52, 457, 64]}, {\"cell\": \"Folate (ng/L)<sup>§</sup>\", \"bbox\": [1, 66, 46, 78]}, {\"cell\": \"13.94 (10.4–26.2) <sup>B*</sup>\", \"bbox\": [149, 66, 211, 78]}, {\"cell\": \"12.37 (5.8–19.25)\", \"bbox\": [285, 68, 340, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 66, 471, 78]}, {\"cell\": \"Cholesterol (mg/dL)<sup>§</sup>\", \"bbox\": [1, 80, 69, 92]}, {\"cell\": \"152.28 ± 31.90\", \"bbox\": [149, 82, 196, 92]}, {\"cell\": \"157.23 ± 42.34\", \"bbox\": [285, 82, 332, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 82, 460, 92]}, {\"cell\": \"HDL (mg/dL)<sup>§</sup>\", \"bbox\": [1, 94, 47, 106]}, {\"cell\": \"44.26 (25.0–99.0)\", \"bbox\": [149, 96, 203, 106]}, {\"cell\": \"37.93 (27.0–61.0)\", \"bbox\": [285, 96, 340, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 96, 468, 106]}, {\"cell\": \"LDL(mg/dL)<sup>§</sup>\", \"bbox\": [1, 108, 43, 120]}, {\"cell\": \"88.93 ± 27.23\", \"bbox\": [149, 110, 192, 120]}, {\"cell\": \"95.53 ± 27.49\", \"bbox\": [285, 110, 328, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 110, 460, 120]}, {\"cell\": \"Triglycerides (mg/dL)<sup>§</sup>\", \"bbox\": [1, 122, 73, 134]}, {\"cell\": \"88.65 (25.0–226.0) <sup>A*, B</sup>\", \"bbox\": [149, 122, 222, 134]}, {\"cell\": \"142.82 (31.0–725.0)<sup>A*</sup>\", \"bbox\": [285, 122, 353, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 122, 482, 134]}, {\"cell\": \"TNF-α (pg/mL)<sup>§</sup>\", \"bbox\": [1, 136, 52, 148]}, {\"cell\": \"7.08 ± 2.41<sup>A, B*</sup>\", \"bbox\": [149, 136, 196, 148]}, {\"cell\": \"8.22 ± 2.14<sup>A,C</sup>\", \"bbox\": [285, 136, 328, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 136, 466, 148]}, {\"cell\": \"hs-CRP (mg/L)<sup>§</sup>\", \"bbox\": [1, 150, 51, 162]}, {\"cell\": \"0.86 (0.30–4.60) <sup>A*, B*</sup>\", \"bbox\": [149, 150, 216, 162]}, {\"cell\": \"2.97 (0.30–7.80) <sup>A*,C*</sup>\", \"bbox\": [285, 150, 351, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [417, 150, 484, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5761099_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}643{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>miRNAs</b></td><td colspan=\\\"2\\\"><b>Sequencing frequency</b></td><td colspan=\\\"2\\\"><b>Normalized value</b></td><td><b>Fold-change(log<sub>2</sub><sup>SP/FP</sup></b></td><td><b>P-value</b></td><td><b>Significance</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>FP</b></td><td><b>SP</b></td><td><b>FP</b></td><td><b>SP</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>rgl-miR156a</td><td>2,945</td><td>1,526</td><td>[EMPTY_CELL]</td><td>97.54</td><td>-1.05</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR156b</td><td>63</td><td>30</td><td>[EMPTY_CELL]</td><td>1.92</td><td>-1.17</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR156f</td><td>40</td><td>14</td><td>[EMPTY_CELL]</td><td>0.89</td><td>-1.61</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR157a</td><td>126,264</td><td>24,968</td><td>[EMPTY_CELL]</td><td>1,595.98</td><td>-2.43</td><td>3.45E-263</td><td>**</td></tr><tr><td>rgl-miR157b</td><td>2,154</td><td>1,071</td><td>[EMPTY_CELL]</td><td>68.46</td><td>-1.1</td><td>4.40E-05</td><td>**</td></tr><tr><td>rgl-miR157c</td><td>221</td><td>87</td><td>[EMPTY_CELL]</td><td>5.56</td><td>-1.44</td><td>1.26E-11</td><td>**</td></tr><tr><td>rgl-miR157d</td><td>158</td><td>53</td><td>[EMPTY_CELL]</td><td>3.39</td><td>-1.67</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR160a</td><td>17</td><td>47</td><td>[EMPTY_CELL]</td><td>3</td><td>1.37</td><td>7.87E-16</td><td>**</td></tr><tr><td>rgl-miR160b</td><td>2</td><td>26</td><td>[EMPTY_CELL]</td><td>1.66</td><td>3.6</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR160c</td><td>3</td><td>32</td><td>[EMPTY_CELL]</td><td>2.05</td><td>3.32</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR164b</td><td>153</td><td>62</td><td>[EMPTY_CELL]</td><td>3.96</td><td>-1.29</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR166a</td><td>15,257</td><td>4,835</td><td>[EMPTY_CELL]</td><td>309.06</td><td>-1.65</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR166b</td><td>15,607</td><td>4,964</td><td>[EMPTY_CELL]</td><td>317.3</td><td>-1.64</td><td>3.65E-66</td><td>**</td></tr><tr><td>rgl-miR166c</td><td>17,639</td><td>5,735</td><td>[EMPTY_CELL]</td><td>366.59</td><td>-1.61</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR167a</td><td>8,673</td><td>4,231</td><td>[EMPTY_CELL]</td><td>270.45</td><td>-1.03</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR167b</td><td>8,164</td><td>3,965</td><td>[EMPTY_CELL]</td><td>253.45</td><td>-1.03</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR167d</td><td>689</td><td>317</td><td>[EMPTY_CELL]</td><td>20.26</td><td>-1.11</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR168a</td><td>2,520</td><td>494</td><td>[EMPTY_CELL]</td><td>31.58</td><td>-2.34</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR168b</td><td>2,547</td><td>512</td><td>[EMPTY_CELL]</td><td>32.73</td><td>-2.3</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR171a</td><td>101</td><td>234</td><td>[EMPTY_CELL]</td><td>14.96</td><td>1.22</td><td>2.82E-59</td><td>**</td></tr><tr><td>rgl-miR171b</td><td>37</td><td>81</td><td>[EMPTY_CELL]</td><td>5.18</td><td>1.14</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR395a</td><td>26</td><td>3</td><td>[EMPTY_CELL]</td><td>0.19</td><td>-3.11</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR395b</td><td>11</td><td>0</td><td>[EMPTY_CELL]</td><td>0.06</td><td>-3.45</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR396a</td><td>1,331</td><td>577</td><td>[EMPTY_CELL]</td><td>36.88</td><td>-1.2</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR396b</td><td>656</td><td>295</td><td>[EMPTY_CELL]</td><td>18.86</td><td>-1.14</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR396c</td><td>451</td><td>221</td><td>[EMPTY_CELL]</td><td>14.13</td><td>-1.02</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR397a</td><td>30</td><td>0</td><td>[EMPTY_CELL]</td><td>0.01</td><td>-7.57</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR398a</td><td>76</td><td>0</td><td>[EMPTY_CELL]</td><td>0.01</td><td>-8.91</td><td>8.50E-36</td><td>**</td></tr><tr><td>rgl-miR398b</td><td>37</td><td>0</td><td>[EMPTY_CELL]</td><td>0.01</td><td>-7.88</td><td>3.24E-10</td><td>**</td></tr><tr><td>rgl-miR5138</td><td>32</td><td>84</td><td>[EMPTY_CELL]</td><td>7.67</td><td>1.44</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR5140</td><td>39</td><td>5</td><td>[EMPTY_CELL]</td><td>0.20</td><td>-2.96</td><td>0.00</td><td>**</td></tr><tr><td>rgl-miR5142</td><td>0</td><td>30</td><td>[EMPTY_CELL]</td><td>2.94</td><td>8.2</td><td>0.00</td><td>**</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>miRNAs</b>\", \"bbox\": [18, 4, 47, 13]}, {\"cell\": \"<b>Sequencing frequency</b>\", \"bbox\": [98, 4, 140, 22]}, {\"cell\": \"<b>Normalized value</b>\", \"bbox\": [206, 4, 248, 22]}, {\"cell\": \"<b>Fold-change(log<sub>2</sub><sup>SP/FP</sup></b>\", \"bbox\": [296, 4, 341, 23]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [371, 4, 399, 13]}, {\"cell\": \"<b>Significance</b>\", \"bbox\": [429, 4, 472, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>FP</b>\", \"bbox\": [89, 26, 99, 36]}, {\"cell\": \"<b>SP</b>\", \"bbox\": [141, 26, 152, 36]}, {\"cell\": \"<b>FP</b>\", \"bbox\": [194, 26, 204, 36]}, {\"cell\": \"<b>SP</b>\", \"bbox\": [250, 26, 260, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rgl-miR156a\", \"bbox\": [13, 39, 53, 49]}, {\"cell\": \"2,945\", \"bbox\": [85, 39, 103, 49]}, {\"cell\": \"1,526\", \"bbox\": [137, 39, 156, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 39, 210, 49]}, {\"cell\": \"97.54\", \"bbox\": [245, 39, 264, 49]}, {\"cell\": \"-1.05\", \"bbox\": [310, 39, 327, 49]}, {\"cell\": \"0.00\", \"bbox\": [378, 39, 393, 49]}, {\"cell\": \"**\", \"bbox\": [447, 39, 455, 49]}, {\"cell\": \"rgl-miR156b\", \"bbox\": [13, 51, 53, 61]}, {\"cell\": \"63\", \"bbox\": [89, 51, 99, 61]}, {\"cell\": \"30\", \"bbox\": [141, 51, 151, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 51, 207, 61]}, {\"cell\": \"1.92\", \"bbox\": [247, 51, 262, 61]}, {\"cell\": \"-1.17\", \"bbox\": [310, 51, 327, 61]}, {\"cell\": \"0.00\", \"bbox\": [378, 51, 393, 61]}, {\"cell\": \"**\", \"bbox\": [447, 51, 455, 61]}, {\"cell\": \"rgl-miR156f\", \"bbox\": [14, 63, 52, 73]}, {\"cell\": \"40\", \"bbox\": [89, 63, 99, 73]}, {\"cell\": \"14\", \"bbox\": [141, 63, 151, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 63, 207, 73]}, {\"cell\": \"0.89\", \"bbox\": [247, 63, 262, 73]}, {\"cell\": \"-1.61\", \"bbox\": [310, 63, 327, 73]}, {\"cell\": \"0.00\", \"bbox\": [378, 63, 393, 73]}, {\"cell\": \"**\", \"bbox\": [447, 63, 455, 73]}, {\"cell\": \"rgl-miR157a\", \"bbox\": [13, 75, 53, 85]}, {\"cell\": \"126,264\", \"bbox\": [81, 75, 107, 85]}, {\"cell\": \"24,968\", \"bbox\": [135, 75, 158, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 75, 213, 85]}, {\"cell\": \"1,595.98\", \"bbox\": [241, 75, 269, 85]}, {\"cell\": \"-2.43\", \"bbox\": [310, 75, 327, 85]}, {\"cell\": \"3.45E-263\", \"bbox\": [369, 75, 401, 85]}, {\"cell\": \"**\", \"bbox\": [447, 75, 455, 85]}, {\"cell\": \"rgl-miR157b\", \"bbox\": [13, 87, 53, 97]}, {\"cell\": \"2,154\", \"bbox\": [85, 87, 103, 97]}, {\"cell\": \"1,071\", \"bbox\": [137, 87, 156, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 87, 210, 97]}, {\"cell\": \"68.46\", \"bbox\": [245, 87, 264, 97]}, {\"cell\": \"-1.1\", \"bbox\": [312, 87, 325, 97]}, {\"cell\": \"4.40E-05\", \"bbox\": [371, 87, 399, 97]}, {\"cell\": \"**\", \"bbox\": [447, 87, 455, 97]}, {\"cell\": \"rgl-miR157c\", \"bbox\": [13, 99, 53, 109]}, {\"cell\": \"221\", \"bbox\": [87, 99, 101, 109]}, {\"cell\": \"87\", \"bbox\": [141, 99, 151, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 99, 209, 109]}, {\"cell\": \"5.56\", \"bbox\": [247, 99, 262, 109]}, {\"cell\": \"-1.44\", \"bbox\": [310, 99, 327, 109]}, {\"cell\": \"1.26E-11\", \"bbox\": [371, 99, 399, 109]}, {\"cell\": \"**\", \"bbox\": [447, 99, 455, 109]}, {\"cell\": \"rgl-miR157d\", \"bbox\": [13, 111, 53, 121]}, {\"cell\": \"158\", \"bbox\": [87, 111, 101, 121]}, {\"cell\": \"53\", \"bbox\": [141, 111, 151, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 111, 207, 121]}, {\"cell\": \"3.39\", \"bbox\": [247, 111, 262, 121]}, {\"cell\": \"-1.67\", \"bbox\": [310, 111, 327, 121]}, {\"cell\": \"0.00\", \"bbox\": [378, 111, 393, 121]}, {\"cell\": \"**\", \"bbox\": [447, 111, 455, 121]}, {\"cell\": \"rgl-miR160a\", \"bbox\": [13, 123, 53, 132]}, {\"cell\": \"17\", \"bbox\": [89, 123, 99, 132]}, {\"cell\": \"47\", \"bbox\": [141, 123, 151, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 123, 207, 132]}, {\"cell\": \"3\", \"bbox\": [252, 123, 258, 132]}, {\"cell\": \"1.37\", \"bbox\": [311, 123, 326, 132]}, {\"cell\": \"7.87E-16\", \"bbox\": [371, 123, 399, 132]}, {\"cell\": \"**\", \"bbox\": [447, 123, 455, 132]}, {\"cell\": \"rgl-miR160b\", \"bbox\": [13, 135, 53, 144]}, {\"cell\": \"2\", \"bbox\": [91, 135, 97, 144]}, {\"cell\": \"26\", \"bbox\": [141, 135, 151, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 135, 207, 144]}, {\"cell\": \"1.66\", \"bbox\": [247, 135, 262, 144]}, {\"cell\": \"3.6\", \"bbox\": [313, 135, 324, 144]}, {\"cell\": \"0.00\", \"bbox\": [378, 135, 393, 144]}, {\"cell\": \"**\", \"bbox\": [447, 135, 455, 144]}, {\"cell\": \"rgl-miR160c\", \"bbox\": [13, 147, 53, 156]}, {\"cell\": \"3\", \"bbox\": [91, 147, 97, 156]}, {\"cell\": \"32\", \"bbox\": [141, 147, 151, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 147, 207, 156]}, {\"cell\": \"2.05\", \"bbox\": [247, 147, 262, 156]}, {\"cell\": \"3.32\", \"bbox\": [311, 147, 326, 156]}, {\"cell\": \"0.00\", \"bbox\": [378, 147, 393, 156]}, {\"cell\": \"**\", \"bbox\": [447, 147, 455, 156]}, {\"cell\": \"rgl-miR164b\", \"bbox\": [13, 159, 53, 168]}, {\"cell\": \"153\", \"bbox\": [87, 159, 101, 168]}, {\"cell\": \"62\", \"bbox\": [141, 159, 151, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 159, 207, 168]}, {\"cell\": \"3.96\", \"bbox\": [247, 159, 262, 168]}, {\"cell\": \"-1.29\", \"bbox\": [310, 159, 327, 168]}, {\"cell\": \"0.00\", \"bbox\": [378, 159, 393, 168]}, {\"cell\": \"**\", \"bbox\": [447, 159, 455, 168]}, {\"cell\": \"rgl-miR166a\", \"bbox\": [13, 171, 53, 180]}, {\"cell\": \"15,257\", \"bbox\": [83, 171, 105, 180]}, {\"cell\": \"4,835\", \"bbox\": [137, 171, 156, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 171, 209, 180]}, {\"cell\": \"309.06\", \"bbox\": [244, 171, 266, 180]}, {\"cell\": \"-1.65\", \"bbox\": [310, 171, 327, 180]}, {\"cell\": \"0.00\", \"bbox\": [378, 171, 393, 180]}, {\"cell\": \"**\", \"bbox\": [447, 171, 455, 180]}, {\"cell\": \"rgl-miR166b\", \"bbox\": [13, 183, 53, 192]}, {\"cell\": \"15,607\", \"bbox\": [83, 183, 105, 192]}, {\"cell\": \"4,964\", \"bbox\": [137, 183, 156, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 183, 210, 192]}, {\"cell\": \"317.3\", \"bbox\": [245, 183, 264, 192]}, {\"cell\": \"-1.64\", \"bbox\": [310, 183, 327, 192]}, {\"cell\": \"3.65E-66\", \"bbox\": [371, 183, 399, 192]}, {\"cell\": \"**\", \"bbox\": [447, 183, 455, 192]}, {\"cell\": \"rgl-miR166c\", \"bbox\": [13, 195, 53, 204]}, {\"cell\": \"17,639\", \"bbox\": [83, 195, 105, 204]}, {\"cell\": \"5,735\", \"bbox\": [137, 195, 156, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 195, 213, 204]}, {\"cell\": \"366.59\", \"bbox\": [244, 195, 266, 204]}, {\"cell\": \"-1.61\", \"bbox\": [310, 195, 327, 204]}, {\"cell\": \"0.00\", \"bbox\": [378, 195, 393, 204]}, {\"cell\": \"**\", \"bbox\": [447, 195, 455, 204]}, {\"cell\": \"rgl-miR167a\", \"bbox\": [13, 207, 53, 216]}, {\"cell\": \"8,673\", \"bbox\": [85, 207, 103, 216]}, {\"cell\": \"4,231\", \"bbox\": [137, 207, 156, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 207, 210, 216]}, {\"cell\": \"270.45\", \"bbox\": [244, 207, 266, 216]}, {\"cell\": \"-1.03\", \"bbox\": [310, 207, 327, 216]}, {\"cell\": \"0.00\", \"bbox\": [378, 207, 393, 216]}, {\"cell\": \"**\", \"bbox\": [447, 207, 455, 216]}, {\"cell\": \"rgl-miR167b\", \"bbox\": [13, 219, 53, 228]}, {\"cell\": \"8,164\", \"bbox\": [85, 219, 103, 228]}, {\"cell\": \"3,965\", \"bbox\": [137, 219, 156, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 219, 210, 228]}, {\"cell\": \"253.45\", \"bbox\": [244, 219, 266, 228]}, {\"cell\": \"-1.03\", \"bbox\": [310, 219, 327, 228]}, {\"cell\": \"0.00\", \"bbox\": [378, 219, 393, 228]}, {\"cell\": \"**\", \"bbox\": [447, 219, 455, 228]}, {\"cell\": \"rgl-miR167d\", \"bbox\": [13, 231, 53, 240]}, {\"cell\": \"689\", \"bbox\": [87, 231, 101, 240]}, {\"cell\": \"317\", \"bbox\": [140, 231, 153, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 231, 209, 240]}, {\"cell\": \"20.26\", \"bbox\": [245, 231, 264, 240]}, {\"cell\": \"-1.11\", \"bbox\": [310, 231, 327, 240]}, {\"cell\": \"0.00\", \"bbox\": [378, 231, 393, 240]}, {\"cell\": \"**\", \"bbox\": [447, 231, 455, 240]}, {\"cell\": \"rgl-miR168a\", \"bbox\": [13, 243, 53, 252]}, {\"cell\": \"2,520\", \"bbox\": [85, 243, 103, 252]}, {\"cell\": \"494\", \"bbox\": [140, 243, 153, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 243, 210, 252]}, {\"cell\": \"31.58\", \"bbox\": [245, 243, 264, 252]}, {\"cell\": \"-2.34\", \"bbox\": [310, 243, 327, 252]}, {\"cell\": \"0.00\", \"bbox\": [378, 243, 393, 252]}, {\"cell\": \"**\", \"bbox\": [447, 243, 455, 252]}, {\"cell\": \"rgl-miR168b\", \"bbox\": [13, 255, 53, 264]}, {\"cell\": \"2,547\", \"bbox\": [85, 255, 103, 264]}, {\"cell\": \"512\", \"bbox\": [140, 255, 153, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 255, 210, 264]}, {\"cell\": \"32.73\", \"bbox\": [245, 255, 264, 264]}, {\"cell\": \"-2.3\", \"bbox\": [312, 255, 325, 264]}, {\"cell\": \"0.00\", \"bbox\": [378, 255, 393, 264]}, {\"cell\": \"**\", \"bbox\": [447, 255, 455, 264]}, {\"cell\": \"rgl-miR171a\", \"bbox\": [13, 267, 53, 276]}, {\"cell\": \"101\", \"bbox\": [87, 267, 101, 276]}, {\"cell\": \"234\", \"bbox\": [140, 267, 153, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 267, 207, 276]}, {\"cell\": \"14.96\", \"bbox\": [245, 267, 264, 276]}, {\"cell\": \"1.22\", \"bbox\": [311, 267, 326, 276]}, {\"cell\": \"2.82E-59\", \"bbox\": [371, 267, 399, 276]}, {\"cell\": \"**\", \"bbox\": [447, 267, 455, 276]}, {\"cell\": \"rgl-miR171b\", \"bbox\": [13, 278, 53, 288]}, {\"cell\": \"37\", \"bbox\": [89, 278, 99, 288]}, {\"cell\": \"81\", \"bbox\": [141, 278, 151, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 278, 207, 288]}, {\"cell\": \"5.18\", \"bbox\": [247, 278, 262, 288]}, {\"cell\": \"1.14\", \"bbox\": [311, 278, 326, 288]}, {\"cell\": \"0.00\", \"bbox\": [378, 278, 393, 288]}, {\"cell\": \"**\", \"bbox\": [447, 278, 455, 288]}, {\"cell\": \"rgl-miR395a\", \"bbox\": [13, 290, 53, 300]}, {\"cell\": \"26\", \"bbox\": [89, 290, 99, 300]}, {\"cell\": \"3\", \"bbox\": [143, 290, 149, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 290, 207, 300]}, {\"cell\": \"0.19\", \"bbox\": [247, 290, 262, 300]}, {\"cell\": \"-3.11\", \"bbox\": [310, 290, 327, 300]}, {\"cell\": \"0.00\", \"bbox\": [378, 290, 393, 300]}, {\"cell\": \"**\", \"bbox\": [447, 290, 455, 300]}, {\"cell\": \"rgl-miR395b\", \"bbox\": [13, 302, 53, 312]}, {\"cell\": \"11\", \"bbox\": [89, 302, 99, 312]}, {\"cell\": \"0\", \"bbox\": [143, 302, 149, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 302, 205, 312]}, {\"cell\": \"0.06\", \"bbox\": [247, 302, 262, 312]}, {\"cell\": \"-3.45\", \"bbox\": [310, 302, 327, 312]}, {\"cell\": \"0.00\", \"bbox\": [378, 302, 393, 312]}, {\"cell\": \"**\", \"bbox\": [447, 302, 455, 312]}, {\"cell\": \"rgl-miR396a\", \"bbox\": [13, 314, 53, 324]}, {\"cell\": \"1,331\", \"bbox\": [85, 314, 103, 324]}, {\"cell\": \"577\", \"bbox\": [140, 314, 153, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 314, 207, 324]}, {\"cell\": \"36.88\", \"bbox\": [245, 314, 264, 324]}, {\"cell\": \"-1.2\", \"bbox\": [312, 314, 325, 324]}, {\"cell\": \"0.00\", \"bbox\": [378, 314, 393, 324]}, {\"cell\": \"**\", \"bbox\": [447, 314, 455, 324]}, {\"cell\": \"rgl-miR396b\", \"bbox\": [13, 326, 53, 336]}, {\"cell\": \"656\", \"bbox\": [87, 326, 101, 336]}, {\"cell\": \"295\", \"bbox\": [140, 326, 153, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 326, 209, 336]}, {\"cell\": \"18.86\", \"bbox\": [245, 326, 264, 336]}, {\"cell\": \"-1.14\", \"bbox\": [310, 326, 327, 336]}, {\"cell\": \"0.00\", \"bbox\": [378, 326, 393, 336]}, {\"cell\": \"**\", \"bbox\": [447, 326, 455, 336]}, {\"cell\": \"rgl-miR396c\", \"bbox\": [13, 338, 53, 348]}, {\"cell\": \"451\", \"bbox\": [87, 338, 101, 348]}, {\"cell\": \"221\", \"bbox\": [140, 338, 153, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 338, 209, 348]}, {\"cell\": \"14.13\", \"bbox\": [245, 338, 264, 348]}, {\"cell\": \"-1.02\", \"bbox\": [310, 338, 327, 348]}, {\"cell\": \"0.00\", \"bbox\": [378, 338, 393, 348]}, {\"cell\": \"**\", \"bbox\": [447, 338, 455, 348]}, {\"cell\": \"rgl-miR397a\", \"bbox\": [13, 350, 53, 360]}, {\"cell\": \"30\", \"bbox\": [89, 350, 99, 360]}, {\"cell\": \"0\", \"bbox\": [143, 350, 149, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 350, 205, 360]}, {\"cell\": \"0.01\", \"bbox\": [247, 350, 262, 360]}, {\"cell\": \"-7.57\", \"bbox\": [310, 350, 327, 360]}, {\"cell\": \"0.00\", \"bbox\": [378, 350, 393, 360]}, {\"cell\": \"**\", \"bbox\": [447, 350, 455, 360]}, {\"cell\": \"rgl-miR398a\", \"bbox\": [13, 362, 53, 372]}, {\"cell\": \"76\", \"bbox\": [89, 362, 99, 372]}, {\"cell\": \"0\", \"bbox\": [143, 362, 149, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 362, 207, 372]}, {\"cell\": \"0.01\", \"bbox\": [247, 362, 262, 372]}, {\"cell\": \"-8.91\", \"bbox\": [310, 362, 327, 372]}, {\"cell\": \"8.50E-36\", \"bbox\": [371, 362, 399, 372]}, {\"cell\": \"**\", \"bbox\": [447, 362, 455, 372]}, {\"cell\": \"rgl-miR398b\", \"bbox\": [13, 374, 53, 384]}, {\"cell\": \"37\", \"bbox\": [89, 374, 99, 384]}, {\"cell\": \"0\", \"bbox\": [143, 374, 149, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 374, 207, 384]}, {\"cell\": \"0.01\", \"bbox\": [247, 374, 262, 384]}, {\"cell\": \"-7.88\", \"bbox\": [310, 374, 327, 384]}, {\"cell\": \"3.24E-10\", \"bbox\": [371, 374, 399, 384]}, {\"cell\": \"**\", \"bbox\": [447, 374, 455, 384]}, {\"cell\": \"rgl-miR5138\", \"bbox\": [13, 386, 53, 395]}, {\"cell\": \"32\", \"bbox\": [89, 386, 99, 395]}, {\"cell\": \"84\", \"bbox\": [141, 386, 151, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 386, 207, 395]}, {\"cell\": \"7.67\", \"bbox\": [247, 386, 262, 395]}, {\"cell\": \"1.44\", \"bbox\": [311, 386, 326, 395]}, {\"cell\": \"0.00\", \"bbox\": [378, 386, 393, 395]}, {\"cell\": \"**\", \"bbox\": [447, 386, 455, 395]}, {\"cell\": \"rgl-miR5140\", \"bbox\": [13, 398, 53, 407]}, {\"cell\": \"39\", \"bbox\": [89, 398, 99, 407]}, {\"cell\": \"5\", \"bbox\": [143, 398, 149, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 398, 207, 407]}, {\"cell\": \"0.20\", \"bbox\": [247, 398, 262, 407]}, {\"cell\": \"-2.96\", \"bbox\": [310, 398, 327, 407]}, {\"cell\": \"0.00\", \"bbox\": [378, 398, 393, 407]}, {\"cell\": \"**\", \"bbox\": [447, 398, 455, 407]}, {\"cell\": \"rgl-miR5142\", \"bbox\": [13, 410, 53, 419]}, {\"cell\": \"0\", \"bbox\": [91, 410, 97, 419]}, {\"cell\": \"30\", \"bbox\": [141, 410, 151, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 410, 207, 419]}, {\"cell\": \"2.94\", \"bbox\": [247, 410, 262, 419]}, {\"cell\": \"8.2\", \"bbox\": [313, 410, 324, 419]}, {\"cell\": \"0.00\", \"bbox\": [378, 410, 393, 419]}, {\"cell\": \"**\", \"bbox\": [447, 410, 455, 419]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3078876_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}644{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Response to treatment1</b></td><td><b>Gene Ontology terms (ID and <i>P</i>-value)2</b></td></tr></thead><tbody><tr><td>Fast responders (FR)</td><td>[EMPTY_CELL]</td></tr><tr><td>Partial responders (PR)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Response to treatment1</b>\", \"bbox\": [6, 8, 81, 18]}, {\"cell\": \"<b>Gene Ontology terms (ID and <i>P</i>-value)2</b>\", \"bbox\": [90, 8, 212, 18]}, {\"cell\": \"Fast responders (FR)\", \"bbox\": [6, 24, 64, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 24, 481, 100]}, {\"cell\": \"Partial responders (PR)\", \"bbox\": [6, 99, 70, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [90, 99, 479, 189]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3748792_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}645{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>All</b></td><td colspan=\\\"3\\\"><b>Asymptomatic<sup>a</sup></b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>OR (95% CI)</b></td><td colspan=\\\"3\\\"><b>OR (95% CI)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Microscopy<sup>b</sup></b></td><td><b><i>msp2</i>-PCR<sup>c</sup></b></td><td><b>Real-time PCR<sup>d</sup></b></td><td><b>Microscopy<sup>b</sup></b></td><td><b><i>msp2</i>-PCR<sup>c</sup></b></td><td><b>Real-time PCR<sup>d</sup></b></td></tr></thead><tbody><tr><td><b>Year</b><sup><b>e</b></sup></td><td colspan=\\\"3\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td><b>Age group</b></td><td colspan=\\\"3\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td><b>0-4</b></td><td>0.86 (0.83, 0.88)</td><td>[EMPTY_CELL]</td><td>0.87 (0.85, 0.89)</td><td>0.73 (0.70, 0.77)</td><td>0.87 (0.86, 0.89)</td><td>0.85 (0.83, 0.86)</td></tr><tr><td><b>5-8</b></td><td>0.86 (0.83, 0.88)</td><td>[EMPTY_CELL]</td><td>0.79 (0.76, 0.83)</td><td>0.73 (0.70, 0.77)</td><td>0.87 (0.86, 0.89)</td><td>0.85 (0.83, 0.86)</td></tr><tr><td><b>9-12</b></td><td>0.86 (0.83, 0.88)</td><td>[EMPTY_CELL]</td><td>0.79 (0.76, 0.82)</td><td>0.73 (0.70, 0.77)</td><td>0.87 (0.86, 0.89)</td><td>0.85 (0.83, 0.86)</td></tr><tr><td><b>13-16</b></td><td>0.86 (0.83, 0.88)</td><td>[EMPTY_CELL]</td><td>0.87 (0.85, 0.89)</td><td>0.73 (0.70, 0.77)</td><td>0.87 (0.86, 0.89)</td><td>0.85 (0.83, 0.86)</td></tr><tr><td><b>>16</b></td><td>0.86 (0.83, 0.88)</td><td>[EMPTY_CELL]</td><td>0.87 (0.85, 0.89)</td><td>0.83 (0.78, 0.89)</td><td>0.87 (0.86, 0.89)</td><td>0.85 (0.83, 0.86)</td></tr><tr><td><b>Age group</b><sup><b>f</b></sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>0-4</b></td><td>1 (-)</td><td>[EMPTY_CELL]</td><td>1 (-)</td><td>1 (-)</td><td>1 (-)</td><td>1 (-)</td></tr><tr><td><b>5-8</b></td><td>1.92 (1.46, 2.51)</td><td>[EMPTY_CELL]</td><td>3.27 (1.97, 5.41)</td><td>2.60 (1.87, 3.61)</td><td>2.76 (1.70, 4.48)</td><td>2.39 (1.51, 3.77)</td></tr><tr><td><b>9-12</b></td><td>1.04 (0.79, 1.37)</td><td>[EMPTY_CELL]</td><td>6.06 (3.53, 10.4)</td><td>1.86 (1.34, 2.59)</td><td>4.28 (2.67, 6.86)</td><td>4.73 (3.03, 7.40)</td></tr><tr><td><b>13-16</b></td><td>0.84 (0.63, 1.14)</td><td>[EMPTY_CELL]</td><td>2.70 (1.82, 4.01)</td><td>1.65 (1.16, 2.36)</td><td>5.28 (3.26, 8.57)</td><td>4.92 (3.11, 7.77)</td></tr><tr><td><b>>16</b></td><td>0.23 (0.18, 0.30)</td><td>[EMPTY_CELL]</td><td>1.04 (0.75, 1.45)</td><td>0.34 (0.25, 0.47)</td><td>1.56 (1.03, 2.36)</td><td>1.84 (1.25, 2.72)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All</b>\", \"bbox\": [82, 4, 93, 13]}, {\"cell\": \"<b>Asymptomatic<sup>a</sup></b>\", \"bbox\": [292, 2, 347, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [82, 17, 125, 27]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [292, 17, 336, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Microscopy<sup>b</sup></b>\", \"bbox\": [82, 29, 127, 40]}, {\"cell\": \"<b><i>msp2</i>-PCR<sup>c</sup></b>\", \"bbox\": [151, 29, 190, 40]}, {\"cell\": \"<b>Real-time PCR<sup>d</sup></b>\", \"bbox\": [220, 29, 274, 40]}, {\"cell\": \"<b>Microscopy<sup>b</sup></b>\", \"bbox\": [292, 29, 337, 40]}, {\"cell\": \"<b><i>msp2</i>-PCR<sup>c</sup></b>\", \"bbox\": [361, 29, 400, 40]}, {\"cell\": \"<b>Real-time PCR<sup>d</sup></b>\", \"bbox\": [430, 29, 484, 40]}, {\"cell\": \"<b>Year</b><sup><b>e</b></sup>\", \"bbox\": [1, 42, 21, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Age group</b>\", \"bbox\": [24, 57, 64, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0-4</b>\", \"bbox\": [24, 71, 37, 81]}, {\"cell\": \"0.86 (0.83, 0.88)\", \"bbox\": [82, 72, 133, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 72, 202, 80]}, {\"cell\": \"0.87 (0.85, 0.89)\", \"bbox\": [220, 72, 271, 80]}, {\"cell\": \"0.73 (0.70, 0.77)\", \"bbox\": [292, 72, 343, 80]}, {\"cell\": \"0.87 (0.86, 0.89)\", \"bbox\": [361, 72, 412, 80]}, {\"cell\": \"0.85 (0.83, 0.86)\", \"bbox\": [430, 72, 481, 80]}, {\"cell\": \"<b>5-8</b>\", \"bbox\": [24, 85, 37, 95]}, {\"cell\": \"0.86 (0.83, 0.88)\", \"bbox\": [82, 86, 133, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 86, 202, 94]}, {\"cell\": \"0.79 (0.76, 0.83)\", \"bbox\": [220, 86, 271, 94]}, {\"cell\": \"0.73 (0.70, 0.77)\", \"bbox\": [292, 86, 343, 94]}, {\"cell\": \"0.87 (0.86, 0.89)\", \"bbox\": [361, 86, 412, 94]}, {\"cell\": \"0.85 (0.83, 0.86)\", \"bbox\": [430, 86, 481, 94]}, {\"cell\": \"<b>9-12</b>\", \"bbox\": [24, 99, 42, 109]}, {\"cell\": \"0.86 (0.83, 0.88)\", \"bbox\": [82, 100, 133, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 100, 202, 108]}, {\"cell\": \"0.79 (0.76, 0.82)\", \"bbox\": [220, 100, 271, 108]}, {\"cell\": \"0.73 (0.70, 0.77)\", \"bbox\": [292, 100, 343, 108]}, {\"cell\": \"0.87 (0.86, 0.89)\", \"bbox\": [361, 100, 412, 108]}, {\"cell\": \"0.85 (0.83, 0.86)\", \"bbox\": [430, 100, 481, 108]}, {\"cell\": \"<b>13-16</b>\", \"bbox\": [24, 113, 46, 123]}, {\"cell\": \"0.86 (0.83, 0.88)\", \"bbox\": [82, 114, 133, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 114, 202, 122]}, {\"cell\": \"0.87 (0.85, 0.89)\", \"bbox\": [220, 114, 271, 122]}, {\"cell\": \"0.73 (0.70, 0.77)\", \"bbox\": [292, 114, 343, 122]}, {\"cell\": \"0.87 (0.86, 0.89)\", \"bbox\": [361, 114, 412, 122]}, {\"cell\": \"0.85 (0.83, 0.86)\", \"bbox\": [430, 114, 481, 122]}, {\"cell\": \"<b>>16</b>\", \"bbox\": [24, 127, 40, 137]}, {\"cell\": \"0.86 (0.83, 0.88)\", \"bbox\": [82, 128, 133, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 128, 202, 136]}, {\"cell\": \"0.87 (0.85, 0.89)\", \"bbox\": [220, 128, 271, 136]}, {\"cell\": \"0.83 (0.78, 0.89)\", \"bbox\": [292, 128, 343, 136]}, {\"cell\": \"0.87 (0.86, 0.89)\", \"bbox\": [361, 128, 412, 136]}, {\"cell\": \"0.85 (0.83, 0.86)\", \"bbox\": [430, 128, 481, 136]}, {\"cell\": \"<b>Age group</b><sup><b>f</b></sup>\", \"bbox\": [1, 140, 42, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>0-4</b>\", \"bbox\": [24, 155, 37, 165]}, {\"cell\": \"1 (-)\", \"bbox\": [82, 156, 99, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 156, 168, 164]}, {\"cell\": \"1 (-)\", \"bbox\": [220, 156, 237, 164]}, {\"cell\": \"1 (-)\", \"bbox\": [292, 156, 309, 164]}, {\"cell\": \"1 (-)\", \"bbox\": [361, 156, 379, 164]}, {\"cell\": \"1 (-)\", \"bbox\": [430, 156, 448, 164]}, {\"cell\": \"<b>5-8</b>\", \"bbox\": [24, 169, 37, 179]}, {\"cell\": \"1.92 (1.46, 2.51)\", \"bbox\": [82, 169, 133, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 169, 202, 178]}, {\"cell\": \"3.27 (1.97, 5.41)\", \"bbox\": [220, 169, 271, 178]}, {\"cell\": \"2.60 (1.87, 3.61)\", \"bbox\": [292, 169, 343, 178]}, {\"cell\": \"2.76 (1.70, 4.48)\", \"bbox\": [361, 169, 412, 178]}, {\"cell\": \"2.39 (1.51, 3.77)\", \"bbox\": [430, 169, 481, 178]}, {\"cell\": \"<b>9-12</b>\", \"bbox\": [24, 183, 42, 193]}, {\"cell\": \"1.04 (0.79, 1.37)\", \"bbox\": [82, 183, 133, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 183, 202, 192]}, {\"cell\": \"6.06 (3.53, 10.4)\", \"bbox\": [220, 183, 271, 192]}, {\"cell\": \"1.86 (1.34, 2.59)\", \"bbox\": [292, 183, 343, 192]}, {\"cell\": \"4.28 (2.67, 6.86)\", \"bbox\": [361, 183, 412, 192]}, {\"cell\": \"4.73 (3.03, 7.40)\", \"bbox\": [430, 183, 481, 192]}, {\"cell\": \"<b>13-16</b>\", \"bbox\": [24, 197, 46, 207]}, {\"cell\": \"0.84 (0.63, 1.14)\", \"bbox\": [82, 197, 133, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 197, 202, 206]}, {\"cell\": \"2.70 (1.82, 4.01)\", \"bbox\": [220, 197, 271, 206]}, {\"cell\": \"1.65 (1.16, 2.36)\", \"bbox\": [292, 197, 343, 206]}, {\"cell\": \"5.28 (3.26, 8.57)\", \"bbox\": [361, 197, 412, 206]}, {\"cell\": \"4.92 (3.11, 7.77)\", \"bbox\": [430, 197, 481, 206]}, {\"cell\": \"<b>>16</b>\", \"bbox\": [24, 211, 40, 221]}, {\"cell\": \"0.23 (0.18, 0.30)\", \"bbox\": [82, 211, 133, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 211, 202, 220]}, {\"cell\": \"1.04 (0.75, 1.45)\", \"bbox\": [220, 211, 271, 220]}, {\"cell\": \"0.34 (0.25, 0.47)\", \"bbox\": [292, 211, 343, 220]}, {\"cell\": \"1.56 (1.03, 2.36)\", \"bbox\": [361, 211, 412, 220]}, {\"cell\": \"1.84 (1.25, 2.72)\", \"bbox\": [430, 211, 481, 220]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4289390_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}646{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Feature</b></td><td><b>Vitamin A with zinc</b></td><td><b>Vitamin A without zinc</b></td></tr><tr><td><b>(n=90)</b></td><td><b>(n=94)</b></td></tr></thead><tbody><tr><td>Age (months) at enrollment*</td><td>[EMPTY_CELL]</td><td>15.2±8.5</td></tr><tr><td>5–11†</td><td>[EMPTY_CELL]</td><td>40 (42.6)</td></tr><tr><td>12–23†</td><td>[EMPTY_CELL]</td><td>35 (37.2)</td></tr><tr><td>24–36†</td><td>[EMPTY_CELL]</td><td>19 (20.2)</td></tr><tr><td>Nutritional status‡</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Normal†</td><td>[EMPTY_CELL]</td><td>40 (42.6)</td></tr><tr><td>Stunted†</td><td>[EMPTY_CELL]</td><td>30 (31.9)</td></tr><tr><td>Wasted†</td><td>[EMPTY_CELL]</td><td>8 (8.5)</td></tr><tr><td>Wasted and stunted†</td><td>[EMPTY_CELL]</td><td>16 (17.0)</td></tr><tr><td>Gender</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Males†</td><td>[EMPTY_CELL]</td><td>47 (50.0)</td></tr><tr><td>Plasma zinc levels in μg/dL at baseline*</td><td>[EMPTY_CELL]</td><td>66.7±25.3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Feature</b>\", \"bbox\": [5, 12, 37, 23]}, {\"cell\": \"<b>Vitamin A with zinc</b>\", \"bbox\": [213, 5, 298, 16]}, {\"cell\": \"<b>Vitamin A without zinc</b>\", \"bbox\": [342, 5, 437, 16]}, {\"cell\": \"<b>(n=90)</b>\", \"bbox\": [241, 19, 270, 30]}, {\"cell\": \"<b>(n=94)</b>\", \"bbox\": [375, 19, 404, 30]}, {\"cell\": \"Age (months) at enrollment*\", \"bbox\": [5, 32, 122, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 34, 275, 45]}, {\"cell\": \"15.2±8.5\", \"bbox\": [371, 34, 408, 45]}, {\"cell\": \"5–11†\", \"bbox\": [10, 46, 33, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 46, 275, 58]}, {\"cell\": \"40 (42.6)\", \"bbox\": [370, 46, 409, 58]}, {\"cell\": \"12–23†\", \"bbox\": [10, 59, 38, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 60, 275, 71]}, {\"cell\": \"35 (37.2)\", \"bbox\": [370, 60, 409, 71]}, {\"cell\": \"24–36†\", \"bbox\": [10, 72, 38, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 73, 275, 84]}, {\"cell\": \"19 (20.2)\", \"bbox\": [370, 73, 409, 84]}, {\"cell\": \"Nutritional status‡\", \"bbox\": [5, 85, 79, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal†\", \"bbox\": [10, 99, 45, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 99, 275, 110]}, {\"cell\": \"40 (42.6)\", \"bbox\": [370, 99, 409, 110]}, {\"cell\": \"Stunted†\", \"bbox\": [10, 112, 45, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 112, 275, 123]}, {\"cell\": \"30 (31.9)\", \"bbox\": [370, 112, 409, 123]}, {\"cell\": \"Wasted†\", \"bbox\": [10, 125, 44, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 125, 274, 136]}, {\"cell\": \"8 (8.5)\", \"bbox\": [380, 125, 408, 136]}, {\"cell\": \"Wasted and stunted†\", \"bbox\": [10, 138, 95, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 139, 275, 150]}, {\"cell\": \"16 (17.0)\", \"bbox\": [370, 139, 409, 150]}, {\"cell\": \"Gender\", \"bbox\": [5, 150, 36, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Males†\", \"bbox\": [10, 161, 39, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 161, 275, 172]}, {\"cell\": \"47 (50.0)\", \"bbox\": [370, 161, 409, 172]}, {\"cell\": \"Plasma zinc levels in μg/dL at baseline*\", \"bbox\": [5, 174, 171, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 175, 277, 186]}, {\"cell\": \"66.7±25.3\", \"bbox\": [368, 175, 411, 186]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3013264_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}647{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>VTD group (<i>n</i> = 30)</b></td><td><b>Improved VTD group (<i>n</i> = 30)</b></td><td><b><i>P</i> value </b></td></tr></thead><tbody><tr><td>Sex (male/female)</td><td>18/12</td><td>[EMPTY_CELL]</td><td>0.793</td></tr><tr><td>Median age (years, range)</td><td>54 (31–67)</td><td>[EMPTY_CELL]</td><td>0.712</td></tr><tr><td>Myeloma type</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> IgG</td><td>12 (40%)</td><td>[EMPTY_CELL]</td><td>0.602</td></tr><tr><td> IgA</td><td>9 (30%)</td><td>[EMPTY_CELL]</td><td>0.559</td></tr><tr><td> IgM</td><td>2 (6.7%)</td><td>[EMPTY_CELL]</td><td>0.640</td></tr><tr><td> Light chain</td><td>7 (23.3%)</td><td>[EMPTY_CELL]</td><td>0.754</td></tr><tr><td>ISS stage</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> I</td><td>6 (20%)</td><td>[EMPTY_CELL]</td><td>1.000</td></tr><tr><td> II</td><td>18 (60%)</td><td>[EMPTY_CELL]</td><td>0.436</td></tr><tr><td> III</td><td>6 (20%)</td><td>[EMPTY_CELL]</td><td>0.371</td></tr><tr><td>Cytogenetics</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Diploid</td><td>15 (50%)</td><td>[EMPTY_CELL]</td><td>0.605</td></tr><tr><td> Hyperdiploid</td><td>6 (20%)</td><td>[EMPTY_CELL]</td><td>0.754</td></tr><tr><td> Nonhyperdiploid</td><td>6 (20%)</td><td>[EMPTY_CELL]</td><td>0.542</td></tr><tr><td> Hypodiploid</td><td>3 (10%)</td><td>[EMPTY_CELL]</td><td>0.640</td></tr><tr><td>Interphase FISH</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> t(4;14)</td><td>15 (50%)</td><td>[EMPTY_CELL]</td><td>0.436</td></tr><tr><td> del(17p13)</td><td>9 (30%)</td><td>[EMPTY_CELL]</td><td>0.184</td></tr><tr><td> t(11;14)</td><td>6 (20%)</td><td>[EMPTY_CELL]</td><td>0.488</td></tr><tr><td> Hemoglobin (g/L)</td><td>103 (71–144)</td><td>[EMPTY_CELL]</td><td>0.677</td></tr><tr><td> Albumin (g/L)</td><td>37.5 (22–47)</td><td>[EMPTY_CELL]</td><td>0.820</td></tr><tr><td> <i>β</i><sub>2</sub> microglobulin (mg/L)</td><td>3.9 (2.2–16.9)</td><td>[EMPTY_CELL]</td><td>0.754</td></tr><tr><td> Platelets (×10<sup>9</sup>/L)</td><td>243.4 (98.2–602.1)</td><td>[EMPTY_CELL]</td><td>0.501</td></tr><tr><td> Creatinine (mg/dL)</td><td>1.6 (0.4–3.7)</td><td>[EMPTY_CELL]</td><td>0.835</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [2, 8, 55, 19]}, {\"cell\": \"<b>VTD group (<i>n</i> = 30)</b>\", \"bbox\": [168, 6, 243, 21]}, {\"cell\": \"<b>Improved VTD group (<i>n</i> = 30)</b>\", \"bbox\": [323, 4, 404, 27]}, {\"cell\": \"<b><i>P</i> value </b>\", \"bbox\": [470, 5, 499, 21]}, {\"cell\": \"Sex (male/female)\", \"bbox\": [2, 27, 69, 38]}, {\"cell\": \"18/12\", \"bbox\": [196, 28, 215, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 28, 373, 39]}, {\"cell\": \"0.793\", \"bbox\": [474, 27, 495, 38]}, {\"cell\": \"Median age (years, range)\", \"bbox\": [2, 40, 96, 51]}, {\"cell\": \"54 (31–67)\", \"bbox\": [186, 41, 225, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 41, 383, 52]}, {\"cell\": \"0.712\", \"bbox\": [474, 40, 494, 51]}, {\"cell\": \"Myeloma type\", \"bbox\": [2, 54, 56, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" IgG\", \"bbox\": [11, 67, 27, 78]}, {\"cell\": \"12 (40%)\", \"bbox\": [189, 68, 222, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 68, 383, 78]}, {\"cell\": \"0.602\", \"bbox\": [474, 67, 495, 78]}, {\"cell\": \" IgA\", \"bbox\": [11, 80, 27, 91]}, {\"cell\": \"9 (30%)\", \"bbox\": [191, 81, 221, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 81, 381, 92]}, {\"cell\": \"0.559\", \"bbox\": [474, 80, 495, 91]}, {\"cell\": \" IgM\", \"bbox\": [11, 93, 28, 104]}, {\"cell\": \"2 (6.7%)\", \"bbox\": [190, 94, 221, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 94, 378, 105]}, {\"cell\": \"0.640\", \"bbox\": [473, 93, 495, 104]}, {\"cell\": \" Light chain\", \"bbox\": [11, 107, 54, 117]}, {\"cell\": \"7 (23.3%)\", \"bbox\": [188, 108, 223, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 108, 378, 118]}, {\"cell\": \"0.754\", \"bbox\": [474, 107, 495, 117]}, {\"cell\": \"ISS stage\", \"bbox\": [2, 120, 36, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" I\", \"bbox\": [11, 133, 17, 144]}, {\"cell\": \"6 (20%)\", \"bbox\": [191, 134, 221, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 134, 378, 145]}, {\"cell\": \"1.000\", \"bbox\": [474, 133, 495, 144]}, {\"cell\": \" II\", \"bbox\": [11, 146, 20, 157]}, {\"cell\": \"18 (60%)\", \"bbox\": [189, 147, 222, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [347, 147, 380, 158]}, {\"cell\": \"0.436\", \"bbox\": [474, 146, 495, 157]}, {\"cell\": \" III\", \"bbox\": [11, 160, 23, 170]}, {\"cell\": \"6 (20%)\", \"bbox\": [190, 161, 221, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [348, 161, 378, 171]}, {\"cell\": \"0.371\", \"bbox\": [475, 160, 494, 170]}, {\"cell\": \"Cytogenetics\", \"bbox\": [2, 173, 51, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Diploid\", \"bbox\": [11, 186, 41, 197]}, {\"cell\": \"15 (50%)\", \"bbox\": [189, 187, 222, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 187, 383, 198]}, {\"cell\": \"0.605\", \"bbox\": [474, 186, 495, 197]}, {\"cell\": \" Hyperdiploid\", \"bbox\": [11, 200, 61, 210]}, {\"cell\": \"6 (20%)\", \"bbox\": [190, 200, 221, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 200, 381, 211]}, {\"cell\": \"0.754\", \"bbox\": [474, 200, 495, 210]}, {\"cell\": \" Nonhyperdiploid\", \"bbox\": [11, 213, 75, 223]}, {\"cell\": \"6 (20%)\", \"bbox\": [190, 214, 221, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 214, 381, 224]}, {\"cell\": \"0.542\", \"bbox\": [474, 213, 495, 223]}, {\"cell\": \" Hypodiploid\", \"bbox\": [11, 226, 59, 237]}, {\"cell\": \"3 (10%)\", \"bbox\": [191, 227, 220, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [347, 227, 379, 238]}, {\"cell\": \"0.640\", \"bbox\": [473, 226, 495, 237]}, {\"cell\": \"Interphase FISH\", \"bbox\": [2, 239, 63, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" t(4;14)\", \"bbox\": [11, 253, 36, 263]}, {\"cell\": \"15 (50%)\", \"bbox\": [189, 253, 222, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [347, 253, 380, 264]}, {\"cell\": \"0.436\", \"bbox\": [474, 253, 495, 263]}, {\"cell\": \" del(17p13)\", \"bbox\": [11, 266, 49, 276]}, {\"cell\": \"9 (30%)\", \"bbox\": [191, 267, 221, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 267, 383, 277]}, {\"cell\": \"0.184\", \"bbox\": [474, 266, 495, 276]}, {\"cell\": \" t(11;14)\", \"bbox\": [11, 279, 38, 290]}, {\"cell\": \"6 (20%)\", \"bbox\": [190, 280, 221, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [346, 280, 381, 291]}, {\"cell\": \"0.488\", \"bbox\": [474, 279, 495, 290]}, {\"cell\": \" Hemoglobin (g/L)\", \"bbox\": [11, 292, 79, 303]}, {\"cell\": \"103 (71–144)\", \"bbox\": [183, 293, 228, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 293, 386, 304]}, {\"cell\": \"0.677\", \"bbox\": [474, 292, 495, 303]}, {\"cell\": \" Albumin (g/L)\", \"bbox\": [11, 306, 66, 316]}, {\"cell\": \"37.5 (22–47)\", \"bbox\": [183, 306, 228, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 306, 384, 317]}, {\"cell\": \"0.820\", \"bbox\": [474, 306, 495, 316]}, {\"cell\": \" <i>β</i><sub>2</sub> microglobulin (mg/L)\", \"bbox\": [11, 316, 103, 332]}, {\"cell\": \"3.9 (2.2–16.9)\", \"bbox\": [181, 320, 230, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 320, 388, 330]}, {\"cell\": \"0.754\", \"bbox\": [474, 319, 495, 329]}, {\"cell\": \" Platelets (×10<sup>9</sup>/L)\", \"bbox\": [11, 329, 75, 344]}, {\"cell\": \"243.4 (98.2–602.1)\", \"bbox\": [172, 333, 239, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [331, 333, 396, 344]}, {\"cell\": \"0.501\", \"bbox\": [474, 332, 494, 343]}, {\"cell\": \" Creatinine (mg/dL)\", \"bbox\": [11, 345, 83, 356]}, {\"cell\": \"1.6 (0.4–3.7)\", \"bbox\": [183, 346, 228, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 346, 385, 357]}, {\"cell\": \"0.835\", \"bbox\": [474, 345, 495, 356]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4575715_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}648{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Entire cohort (1963–2010) (n = 58442)</b></td><td><b>Contemporary cohort (1996–2010) (n = 36884)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>0.54 (0.50-0.57)</td><td>0.63 (0.57-0.69)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.40 (0.31-0.52)</td><td>0.40 (0.28-0.57)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reference</td><td>Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>0.18 (0.07-0.47)</td><td>0.26 (0.08-0.85)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.26 (0.13-0.52)</td><td>0.33 (0.14-0.77)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.40 (0.18-0.92)</td><td>0.37 (0.15-0.91)</td></tr><tr><td>[EMPTY_CELL]</td><td>NS</td><td>0.42 (0.15-1.15)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>0.36 (0.19-0.66)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.55 (0.36-0.85)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.53 (0.36- 0.80)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.03 (0.69-1.51)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.86 (0.57-1.28)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>0.13 (0.06-0.31)</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>NS</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>3.72 (2.65-5.22)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 4, 49, 13]}, {\"cell\": \"<b>Entire cohort (1963–2010) (n = 58442)</b>\", \"bbox\": [103, 4, 151, 31]}, {\"cell\": \"<b>Contemporary cohort (1996–2010) (n = 36884)</b>\", \"bbox\": [167, 4, 236, 31]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 35, 58, 45]}, {\"cell\": \"0.54 (0.50-0.57)\", \"bbox\": [102, 35, 152, 45]}, {\"cell\": \"0.63 (0.57-0.69)\", \"bbox\": [177, 35, 226, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 43, 59]}, {\"cell\": \"0.40 (0.31-0.52)\", \"bbox\": [102, 49, 152, 59]}, {\"cell\": \"0.40 (0.28-0.57)\", \"bbox\": [177, 49, 226, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 63, 41, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 77, 42, 87]}, {\"cell\": \"Reference\", \"bbox\": [110, 77, 144, 87]}, {\"cell\": \"Reference\", \"bbox\": [185, 77, 218, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 91, 26, 101]}, {\"cell\": \"0.18 (0.07-0.47)\", \"bbox\": [102, 91, 152, 101]}, {\"cell\": \"0.26 (0.08-0.85)\", \"bbox\": [177, 91, 226, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 105, 24, 115]}, {\"cell\": \"0.26 (0.13-0.52)\", \"bbox\": [102, 105, 152, 115]}, {\"cell\": \"0.33 (0.14-0.77)\", \"bbox\": [177, 105, 226, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 119, 29, 129]}, {\"cell\": \"0.40 (0.18-0.92)\", \"bbox\": [102, 119, 152, 129]}, {\"cell\": \"0.37 (0.15-0.91)\", \"bbox\": [177, 119, 226, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 133, 30, 143]}, {\"cell\": \"NS\", \"bbox\": [122, 133, 132, 143]}, {\"cell\": \"0.42 (0.15-1.15)\", \"bbox\": [177, 133, 226, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 26, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NS\", \"bbox\": [196, 147, 207, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 161, 47, 171]}, {\"cell\": \"0.36 (0.19-0.66)\", \"bbox\": [102, 161, 152, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 175, 47, 185]}, {\"cell\": \"0.55 (0.36-0.85)\", \"bbox\": [102, 175, 152, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 189, 47, 199]}, {\"cell\": \"0.53 (0.36- 0.80)\", \"bbox\": [101, 189, 153, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 203, 47, 213]}, {\"cell\": \"1.03 (0.69-1.51)\", \"bbox\": [102, 203, 152, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 217, 47, 227]}, {\"cell\": \"0.86 (0.57-1.28)\", \"bbox\": [102, 217, 152, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 231, 45, 241]}, {\"cell\": \"Reference\", \"bbox\": [110, 231, 144, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 245, 43, 255]}, {\"cell\": \"NA\", \"bbox\": [121, 245, 133, 255]}, {\"cell\": \"NS\", \"bbox\": [196, 245, 207, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 259, 57, 269]}, {\"cell\": \"NA\", \"bbox\": [121, 259, 133, 269]}, {\"cell\": \"0.13 (0.06-0.31)\", \"bbox\": [177, 259, 226, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 273, 69, 283]}, {\"cell\": \"NA\", \"bbox\": [121, 273, 133, 283]}, {\"cell\": \"NS\", \"bbox\": [196, 273, 207, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 287, 77, 297]}, {\"cell\": \"NA\", \"bbox\": [121, 287, 133, 297]}, {\"cell\": \"NS\", \"bbox\": [196, 287, 207, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 301, 87, 311]}, {\"cell\": \"NA\", \"bbox\": [121, 301, 133, 311]}, {\"cell\": \"NS\", \"bbox\": [196, 301, 207, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 315, 79, 325]}, {\"cell\": \"NA\", \"bbox\": [121, 315, 133, 325]}, {\"cell\": \"NS\", \"bbox\": [196, 315, 207, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 327, 41, 339]}, {\"cell\": \"NA\", \"bbox\": [121, 329, 133, 339]}, {\"cell\": \"NS\", \"bbox\": [196, 329, 207, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 343, 40, 353]}, {\"cell\": \"NA\", \"bbox\": [121, 343, 133, 353]}, {\"cell\": \"3.72 (2.65-5.22)\", \"bbox\": [177, 343, 226, 353]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3544575_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}649{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Last Vaccine Dose (Manufacturer)</b></td><td><b>No. of Horses (%)</b></td><td><b>Vaccine Breakdown (%)</b></td><td><b>No. of Days Since V2</b></td><td><b>No. of Days Since V3 or Subsequent Booster</b></td><td><b>Representative H3N8 American Lineage Vaccine Strain</b></td></tr></thead><tbody><tr><td>Duvaxyn IET Plus (Elanco Animal Health)</td><td>43 (44%)</td><td>13/43 (30%)</td><td>124 (n = 1)</td><td>276 ± 27.7 SE (n = 12)</td><td>[EMPTY_CELL]</td></tr><tr><td>Equip FT (Zoetis)</td><td>10 (10%)</td><td>5/10 (50%)</td><td>189 (n = 1)</td><td>267 ± 51.2 SE (n = 4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Equilis Prequenza Te (MSD Animal Health)</td><td>32 (33%)</td><td>9/32 (28%)</td><td>135 ± 33.5 SE (n = 2)</td><td>217 ± 35.7 SE (n = 7)</td><td>[EMPTY_CELL]</td></tr><tr><td>ProteqFlu Te (Merial)</td><td>13 (13%)</td><td>3/13 (23%)</td><td>42 (n = 1)</td><td>257 ± 95.5 SE (n = 2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total/average</td><td>98</td><td>30/98 (31%)</td><td>125 ± 25.9 SE (n = 5)</td><td>261 ± 19.6 SE (n = 25)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Last Vaccine Dose (Manufacturer)</b>\", \"bbox\": [15, 8, 75, 26]}, {\"cell\": \"<b>No. of Horses (%)</b>\", \"bbox\": [93, 8, 130, 26]}, {\"cell\": \"<b>Vaccine Breakdown (%)</b>\", \"bbox\": [141, 8, 193, 26]}, {\"cell\": \"<b>No. of Days Since V2</b>\", \"bbox\": [208, 8, 248, 26]}, {\"cell\": \"<b>No. of Days Since V3 or Subsequent Booster</b>\", \"bbox\": [262, 4, 333, 30]}, {\"cell\": \"<b>Representative H3N8 American Lineage Vaccine Strain</b>\", \"bbox\": [346, 4, 417, 30]}, {\"cell\": \"Duvaxyn IET Plus (Elanco Animal Health)\", \"bbox\": [7, 34, 83, 52]}, {\"cell\": \"43 (44%)\", \"bbox\": [102, 34, 121, 52]}, {\"cell\": \"13/43 (30%)\", \"bbox\": [157, 34, 177, 52]}, {\"cell\": \"124 (n = 1)\", \"bbox\": [217, 34, 239, 52]}, {\"cell\": \"276 ± 27.7 SE (n = 12)\", \"bbox\": [275, 34, 320, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 38, 421, 47]}, {\"cell\": \"Equip FT (Zoetis)\", \"bbox\": [29, 51, 60, 69]}, {\"cell\": \"10 (10%)\", \"bbox\": [102, 51, 121, 69]}, {\"cell\": \"5/10 (50%)\", \"bbox\": [157, 51, 177, 69]}, {\"cell\": \"189 (n = 1)\", \"bbox\": [217, 51, 239, 69]}, {\"cell\": \"267 ± 51.2 SE (n = 4)\", \"bbox\": [275, 51, 320, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 55, 414, 64]}, {\"cell\": \"Equilis Prequenza Te (MSD Animal Health)\", \"bbox\": [9, 68, 80, 86]}, {\"cell\": \"32 (33%)\", \"bbox\": [102, 68, 121, 86]}, {\"cell\": \"9/32 (28%)\", \"bbox\": [157, 68, 177, 86]}, {\"cell\": \"135 ± 33.5 SE (n = 2)\", \"bbox\": [206, 68, 250, 86]}, {\"cell\": \"217 ± 35.7 SE (n = 7)\", \"bbox\": [275, 68, 320, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 68, 404, 86]}, {\"cell\": \"ProteqFlu Te (Merial)\", \"bbox\": [24, 86, 66, 103]}, {\"cell\": \"13 (13%)\", \"bbox\": [102, 86, 121, 103]}, {\"cell\": \"3/13 (23%)\", \"bbox\": [157, 86, 177, 103]}, {\"cell\": \"42 (n = 1)\", \"bbox\": [217, 86, 239, 103]}, {\"cell\": \"257 ± 95.5 SE (n = 2)\", \"bbox\": [275, 86, 320, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [354, 89, 409, 99]}, {\"cell\": \"Total/average\", \"bbox\": [22, 107, 68, 116]}, {\"cell\": \"98\", \"bbox\": [107, 107, 116, 116]}, {\"cell\": \"30/98 (31%)\", \"bbox\": [157, 103, 177, 121]}, {\"cell\": \"125 ± 25.9 SE (n = 5)\", \"bbox\": [206, 103, 250, 121]}, {\"cell\": \"261 ± 19.6 SE (n = 25)\", \"bbox\": [275, 103, 320, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6027538_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}650{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Condom use/unprotected sex</b></td><td colspan=\\\"3\\\"><b>STI/HIV incidence</b></td></tr><tr><td><b>(+)</b></td><td><b>(−)</b></td><td><b>ns (k < 20, B)<sup>b</sup></b></td><td><b>(+)</b></td><td><b>(−)</b></td><td><b>ns (k < 20, B)<sup>b</sup></b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\"><i>Mode of delivery dimensions</i></td></tr><tr><td>Duration</td><td>[EMPTY_CELL]</td><td>2</td><td>15 (4, 1)</td><td>2</td><td>1</td><td>8 (4, 0)</td></tr><tr><td>Session number</td><td>[EMPTY_CELL]</td><td>1</td><td>7 (3, 0)</td><td>0</td><td>0</td><td>3 (3, 0)</td></tr><tr><td>School setting</td><td>[EMPTY_CELL]</td><td>3</td><td>4 (1, 0)</td><td>0</td><td>0</td><td>1 (1, 0)</td></tr><tr><td>Clinic setting</td><td>[EMPTY_CELL]</td><td>1</td><td>7 (3, 0)</td><td>0</td><td>0</td><td>3 (3, 0)</td></tr><tr><td>Community setting</td><td>[EMPTY_CELL]</td><td>2</td><td>6 (1, 0)</td><td>0</td><td>0</td><td>3 (3, 0)</td></tr><tr><td>Group delivery</td><td>[EMPTY_CELL]</td><td>2</td><td>8 (3, 0)</td><td>0</td><td>0</td><td>3 (2, 0)</td></tr><tr><td colspan=\\\"7\\\"><i>Communicator dimensions</i></td></tr><tr><td>Peer delivery</td><td>[EMPTY_CELL]</td><td>3</td><td>4 (1, 0)</td><td>1</td><td>0</td><td>2 (2, 0)</td></tr><tr><td>Expert delivery</td><td>[EMPTY_CELL]</td><td>2</td><td>3 (0, 0)</td><td>0</td><td>0</td><td>1 (1, 0)</td></tr><tr><td>Matched ethnicity</td><td>[EMPTY_CELL]</td><td>1</td><td>7 (1, 0)</td><td>1</td><td>0</td><td>3 (2, 0)</td></tr><tr><td>Matched gender</td><td>[EMPTY_CELL]</td><td>0</td><td>4 (0, 0)</td><td>0</td><td>0</td><td>3 (2, 0)</td></tr><tr><td>Similar age</td><td>[EMPTY_CELL]</td><td>0</td><td>5 (0, 0)</td><td>–</td><td>–</td><td>–</td></tr><tr><td colspan=\\\"7\\\"><i>Content dimensions</i></td></tr><tr><td>Group targeting/tailoring</td><td>[EMPTY_CELL]</td><td>1</td><td>9 (2, 0)</td><td>1</td><td>0</td><td>8 (4, 0)</td></tr><tr><td>Individual tailoring</td><td>[EMPTY_CELL]</td><td>4</td><td>7 (1, 1)</td><td>0</td><td>0</td><td>5 (1, 0)</td></tr><tr><td>Formative research</td><td>[EMPTY_CELL]</td><td>2</td><td>4 (2, 0)</td><td>1</td><td>0</td><td>1 (1, 0)</td></tr><tr><td>Theory-based</td><td>[EMPTY_CELL]</td><td>0</td><td>4 (2, 0)</td><td>1</td><td>0</td><td>1 (1, 0)</td></tr><tr><td>Information</td><td>[EMPTY_CELL]</td><td>1</td><td>3 (0, 0)</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Motivational enhancement</td><td>[EMPTY_CELL]</td><td>0</td><td>9 (1, 0)</td><td>2</td><td>1</td><td>5 (2, 0)</td></tr><tr><td>Threat/fear induction</td><td>[EMPTY_CELL]</td><td>4</td><td>6 (3, 1)</td><td>1</td><td>0</td><td>1 (1, 0)</td></tr><tr><td>Attitudinal arguments</td><td>[EMPTY_CELL]</td><td>2</td><td>4 (1, 1)</td><td>0</td><td>0</td><td>3 (2, 0)</td></tr><tr><td>Normative arguments</td><td>[EMPTY_CELL]</td><td>4</td><td>6 (1, 0)</td><td>0</td><td>0</td><td>2 (2, 0)</td></tr><tr><td>Address barriers</td><td>[EMPTY_CELL]</td><td>0</td><td>2 (0, 1)</td><td>0</td><td>0</td><td>2 (1, 0)</td></tr><tr><td>Address self-efficacy</td><td>[EMPTY_CELL]</td><td>0</td><td>3 (2, 0)</td><td>1</td><td>0</td><td>2 (2, 0)</td></tr><tr><td>Behavioral skills arguments</td><td>[EMPTY_CELL]</td><td>1</td><td>0 (0, 0)</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Skills (mixed)</td><td>[EMPTY_CELL]</td><td>0</td><td>8 (4, 0)</td><td>0</td><td>1</td><td>3 (1, 0)</td></tr><tr><td>Condom skills</td><td>[EMPTY_CELL]</td><td>1</td><td>7 (2, 1)</td><td>1</td><td>0</td><td>4 (2, 0)</td></tr><tr><td>Intrapersonal skills</td><td>[EMPTY_CELL]</td><td>2</td><td>7 (2, 0)</td><td>0</td><td>1</td><td>2 (1, 0)</td></tr><tr><td>Interpersonal skills</td><td>[EMPTY_CELL]</td><td>2</td><td>9 (3, 1)</td><td>1</td><td>0</td><td>3 (1, 0)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Condom use/unprotected sex</b>\", \"bbox\": [135, 5, 237, 15]}, {\"cell\": \"<b>STI/HIV incidence</b>\", \"bbox\": [340, 5, 408, 15]}, {\"cell\": \"<b>(+)</b>\", \"bbox\": [135, 22, 148, 31]}, {\"cell\": \"<b>(−)</b>\", \"bbox\": [189, 22, 203, 31]}, {\"cell\": \"<b>ns (k < 20, B)<sup>b</sup></b>\", \"bbox\": [244, 20, 299, 31]}, {\"cell\": \"<b>(+)</b>\", \"bbox\": [340, 22, 352, 31]}, {\"cell\": \"<b>(−)</b>\", \"bbox\": [389, 22, 403, 31]}, {\"cell\": \"<b>ns (k < 20, B)<sup>b</sup></b>\", \"bbox\": [440, 20, 496, 31]}, {\"cell\": \"<i>Mode of delivery dimensions</i>\", \"bbox\": [0, 41, 102, 50]}, {\"cell\": \"Duration\", \"bbox\": [0, 53, 33, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 53, 142, 63]}, {\"cell\": \"2\", \"bbox\": [189, 53, 195, 63]}, {\"cell\": \"15 (4, 1)\", \"bbox\": [244, 53, 276, 63]}, {\"cell\": \"2\", \"bbox\": [340, 53, 346, 63]}, {\"cell\": \"1\", \"bbox\": [389, 53, 395, 63]}, {\"cell\": \"8 (4, 0)\", \"bbox\": [440, 53, 468, 63]}, {\"cell\": \"Session number\", \"bbox\": [0, 66, 57, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 66, 142, 76]}, {\"cell\": \"1\", \"bbox\": [189, 66, 195, 76]}, {\"cell\": \"7 (3, 0)\", \"bbox\": [248, 66, 276, 76]}, {\"cell\": \"0\", \"bbox\": [340, 66, 346, 76]}, {\"cell\": \"0\", \"bbox\": [389, 66, 395, 76]}, {\"cell\": \"3 (3, 0)\", \"bbox\": [440, 66, 468, 76]}, {\"cell\": \"School setting\", \"bbox\": [0, 79, 52, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 79, 142, 89]}, {\"cell\": \"3\", \"bbox\": [189, 79, 195, 89]}, {\"cell\": \"4 (1, 0)\", \"bbox\": [248, 79, 276, 89]}, {\"cell\": \"0\", \"bbox\": [340, 79, 346, 89]}, {\"cell\": \"0\", \"bbox\": [389, 79, 395, 89]}, {\"cell\": \"1 (1, 0)\", \"bbox\": [440, 79, 468, 89]}, {\"cell\": \"Clinic setting\", \"bbox\": [0, 92, 49, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 92, 142, 101]}, {\"cell\": \"1\", \"bbox\": [189, 92, 195, 101]}, {\"cell\": \"7 (3, 0)\", \"bbox\": [248, 92, 276, 101]}, {\"cell\": \"0\", \"bbox\": [340, 92, 346, 101]}, {\"cell\": \"0\", \"bbox\": [389, 92, 395, 101]}, {\"cell\": \"3 (3, 0)\", \"bbox\": [440, 92, 468, 101]}, {\"cell\": \"Community setting\", \"bbox\": [0, 104, 69, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 104, 142, 114]}, {\"cell\": \"2\", \"bbox\": [189, 104, 195, 114]}, {\"cell\": \"6 (1, 0)\", \"bbox\": [248, 104, 276, 114]}, {\"cell\": \"0\", \"bbox\": [340, 104, 346, 114]}, {\"cell\": \"0\", \"bbox\": [389, 104, 395, 114]}, {\"cell\": \"3 (3, 0)\", \"bbox\": [440, 104, 468, 114]}, {\"cell\": \"Group delivery\", \"bbox\": [0, 117, 55, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 117, 142, 127]}, {\"cell\": \"2\", \"bbox\": [189, 117, 195, 127]}, {\"cell\": \"8 (3, 0)\", \"bbox\": [248, 117, 276, 127]}, {\"cell\": \"0\", \"bbox\": [340, 117, 346, 127]}, {\"cell\": \"0\", \"bbox\": [389, 117, 395, 127]}, {\"cell\": \"3 (2, 0)\", \"bbox\": [440, 117, 468, 127]}, {\"cell\": \"<i>Communicator dimensions</i>\", \"bbox\": [0, 130, 94, 140]}, {\"cell\": \"Peer delivery\", \"bbox\": [0, 143, 48, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 143, 142, 152]}, {\"cell\": \"3\", \"bbox\": [189, 143, 195, 152]}, {\"cell\": \"4 (1, 0)\", \"bbox\": [248, 143, 276, 152]}, {\"cell\": \"1\", \"bbox\": [340, 143, 346, 152]}, {\"cell\": \"0\", \"bbox\": [389, 143, 395, 152]}, {\"cell\": \"2 (2, 0)\", \"bbox\": [440, 143, 468, 152]}, {\"cell\": \"Expert delivery\", \"bbox\": [0, 155, 56, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 155, 142, 165]}, {\"cell\": \"2\", \"bbox\": [189, 155, 195, 165]}, {\"cell\": \"3 (0, 0)\", \"bbox\": [248, 155, 276, 165]}, {\"cell\": \"0\", \"bbox\": [340, 155, 346, 165]}, {\"cell\": \"0\", \"bbox\": [389, 155, 395, 165]}, {\"cell\": \"1 (1, 0)\", \"bbox\": [440, 155, 468, 165]}, {\"cell\": \"Matched ethnicity\", \"bbox\": [0, 168, 65, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 168, 142, 178]}, {\"cell\": \"1\", \"bbox\": [189, 168, 195, 178]}, {\"cell\": \"7 (1, 0)\", \"bbox\": [248, 168, 276, 178]}, {\"cell\": \"1\", \"bbox\": [340, 168, 346, 178]}, {\"cell\": \"0\", \"bbox\": [389, 168, 395, 178]}, {\"cell\": \"3 (2, 0)\", \"bbox\": [440, 168, 468, 178]}, {\"cell\": \"Matched gender\", \"bbox\": [0, 181, 58, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 181, 142, 191]}, {\"cell\": \"0\", \"bbox\": [189, 181, 195, 191]}, {\"cell\": \"4 (0, 0)\", \"bbox\": [248, 181, 276, 191]}, {\"cell\": \"0\", \"bbox\": [340, 181, 346, 191]}, {\"cell\": \"0\", \"bbox\": [389, 181, 395, 191]}, {\"cell\": \"3 (2, 0)\", \"bbox\": [440, 181, 468, 191]}, {\"cell\": \"Similar age\", \"bbox\": [0, 194, 42, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 194, 142, 203]}, {\"cell\": \"0\", \"bbox\": [189, 194, 195, 203]}, {\"cell\": \"5 (0, 0)\", \"bbox\": [248, 194, 276, 203]}, {\"cell\": \"–\", \"bbox\": [340, 194, 346, 203]}, {\"cell\": \"–\", \"bbox\": [389, 194, 395, 203]}, {\"cell\": \"–\", \"bbox\": [462, 194, 468, 203]}, {\"cell\": \"<i>Content dimensions</i>\", \"bbox\": [0, 206, 70, 216]}, {\"cell\": \"Group targeting/tailoring\", \"bbox\": [0, 219, 88, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 219, 142, 229]}, {\"cell\": \"1\", \"bbox\": [189, 219, 195, 229]}, {\"cell\": \"9 (2, 0)\", \"bbox\": [248, 219, 276, 229]}, {\"cell\": \"1\", \"bbox\": [340, 219, 346, 229]}, {\"cell\": \"0\", \"bbox\": [389, 219, 395, 229]}, {\"cell\": \"8 (4, 0)\", \"bbox\": [440, 219, 468, 229]}, {\"cell\": \"Individual tailoring\", \"bbox\": [0, 232, 69, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 232, 142, 242]}, {\"cell\": \"4\", \"bbox\": [189, 232, 195, 242]}, {\"cell\": \"7 (1, 1)\", \"bbox\": [248, 232, 276, 242]}, {\"cell\": \"0\", \"bbox\": [340, 232, 346, 242]}, {\"cell\": \"0\", \"bbox\": [389, 232, 395, 242]}, {\"cell\": \"5 (1, 0)\", \"bbox\": [440, 232, 468, 242]}, {\"cell\": \"Formative research\", \"bbox\": [0, 245, 69, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 245, 142, 254]}, {\"cell\": \"2\", \"bbox\": [189, 245, 195, 254]}, {\"cell\": \"4 (2, 0)\", \"bbox\": [248, 245, 276, 254]}, {\"cell\": \"1\", \"bbox\": [340, 245, 346, 254]}, {\"cell\": \"0\", \"bbox\": [389, 245, 395, 254]}, {\"cell\": \"1 (1, 0)\", \"bbox\": [440, 245, 468, 254]}, {\"cell\": \"Theory-based\", \"bbox\": [0, 257, 49, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 257, 142, 267]}, {\"cell\": \"0\", \"bbox\": [189, 257, 195, 267]}, {\"cell\": \"4 (2, 0)\", \"bbox\": [248, 257, 276, 267]}, {\"cell\": \"1\", \"bbox\": [340, 257, 346, 267]}, {\"cell\": \"0\", \"bbox\": [389, 257, 395, 267]}, {\"cell\": \"1 (1, 0)\", \"bbox\": [440, 257, 468, 267]}, {\"cell\": \"Information\", \"bbox\": [0, 270, 43, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 270, 142, 280]}, {\"cell\": \"1\", \"bbox\": [189, 270, 195, 280]}, {\"cell\": \"3 (0, 0)\", \"bbox\": [248, 270, 276, 280]}, {\"cell\": \"–\", \"bbox\": [340, 270, 346, 280]}, {\"cell\": \"–\", \"bbox\": [389, 270, 395, 280]}, {\"cell\": \"–\", \"bbox\": [462, 270, 468, 280]}, {\"cell\": \"Motivational enhancement\", \"bbox\": [0, 283, 94, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 283, 142, 293]}, {\"cell\": \"0\", \"bbox\": [189, 283, 195, 293]}, {\"cell\": \"9 (1, 0)\", \"bbox\": [248, 283, 276, 293]}, {\"cell\": \"2\", \"bbox\": [340, 283, 346, 293]}, {\"cell\": \"1\", \"bbox\": [389, 283, 395, 293]}, {\"cell\": \"5 (2, 0)\", \"bbox\": [440, 283, 468, 293]}, {\"cell\": \"Threat/fear induction\", \"bbox\": [0, 296, 75, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 296, 142, 305]}, {\"cell\": \"4\", \"bbox\": [189, 296, 195, 305]}, {\"cell\": \"6 (3, 1)\", \"bbox\": [248, 296, 276, 305]}, {\"cell\": \"1\", \"bbox\": [340, 296, 346, 305]}, {\"cell\": \"0\", \"bbox\": [389, 296, 395, 305]}, {\"cell\": \"1 (1, 0)\", \"bbox\": [440, 296, 468, 305]}, {\"cell\": \"Attitudinal arguments\", \"bbox\": [0, 308, 78, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 308, 142, 318]}, {\"cell\": \"2\", \"bbox\": [189, 308, 195, 318]}, {\"cell\": \"4 (1, 1)\", \"bbox\": [248, 308, 276, 318]}, {\"cell\": \"0\", \"bbox\": [340, 308, 346, 318]}, {\"cell\": \"0\", \"bbox\": [389, 308, 395, 318]}, {\"cell\": \"3 (2, 0)\", \"bbox\": [440, 308, 468, 318]}, {\"cell\": \"Normative arguments\", \"bbox\": [0, 321, 77, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 321, 142, 331]}, {\"cell\": \"4\", \"bbox\": [189, 321, 195, 331]}, {\"cell\": \"6 (1, 0)\", \"bbox\": [248, 321, 276, 331]}, {\"cell\": \"0\", \"bbox\": [340, 321, 346, 331]}, {\"cell\": \"0\", \"bbox\": [389, 321, 395, 331]}, {\"cell\": \"2 (2, 0)\", \"bbox\": [440, 321, 468, 331]}, {\"cell\": \"Address barriers\", \"bbox\": [0, 334, 59, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 334, 142, 344]}, {\"cell\": \"0\", \"bbox\": [189, 334, 195, 344]}, {\"cell\": \"2 (0, 1)\", \"bbox\": [248, 334, 276, 344]}, {\"cell\": \"0\", \"bbox\": [340, 334, 346, 344]}, {\"cell\": \"0\", \"bbox\": [389, 334, 395, 344]}, {\"cell\": \"2 (1, 0)\", \"bbox\": [440, 334, 468, 344]}, {\"cell\": \"Address self-efficacy\", \"bbox\": [0, 347, 75, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 347, 142, 356]}, {\"cell\": \"0\", \"bbox\": [189, 347, 195, 356]}, {\"cell\": \"3 (2, 0)\", \"bbox\": [248, 347, 276, 356]}, {\"cell\": \"1\", \"bbox\": [340, 347, 346, 356]}, {\"cell\": \"0\", \"bbox\": [389, 347, 395, 356]}, {\"cell\": \"2 (2, 0)\", \"bbox\": [440, 347, 468, 356]}, {\"cell\": \"Behavioral skills arguments\", \"bbox\": [0, 359, 99, 369]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 359, 142, 369]}, {\"cell\": \"1\", \"bbox\": [189, 359, 195, 369]}, {\"cell\": \"0 (0, 0)\", \"bbox\": [248, 359, 276, 369]}, {\"cell\": \"–\", \"bbox\": [340, 359, 346, 369]}, {\"cell\": \"–\", \"bbox\": [389, 359, 395, 369]}, {\"cell\": \"–\", \"bbox\": [462, 359, 468, 369]}, {\"cell\": \"Skills (mixed)\", \"bbox\": [0, 372, 52, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 372, 142, 382]}, {\"cell\": \"0\", \"bbox\": [189, 372, 195, 382]}, {\"cell\": \"8 (4, 0)\", \"bbox\": [248, 372, 276, 382]}, {\"cell\": \"0\", \"bbox\": [340, 372, 346, 382]}, {\"cell\": \"1\", \"bbox\": [389, 372, 395, 382]}, {\"cell\": \"3 (1, 0)\", \"bbox\": [440, 372, 468, 382]}, {\"cell\": \"Condom skills\", \"bbox\": [0, 385, 52, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 385, 142, 395]}, {\"cell\": \"1\", \"bbox\": [189, 385, 195, 395]}, {\"cell\": \"7 (2, 1)\", \"bbox\": [248, 385, 276, 395]}, {\"cell\": \"1\", \"bbox\": [340, 385, 346, 395]}, {\"cell\": \"0\", \"bbox\": [389, 385, 395, 395]}, {\"cell\": \"4 (2, 0)\", \"bbox\": [440, 385, 468, 395]}, {\"cell\": \"Intrapersonal skills\", \"bbox\": [0, 398, 68, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 398, 142, 407]}, {\"cell\": \"2\", \"bbox\": [189, 398, 195, 407]}, {\"cell\": \"7 (2, 0)\", \"bbox\": [248, 398, 276, 407]}, {\"cell\": \"0\", \"bbox\": [340, 398, 346, 407]}, {\"cell\": \"1\", \"bbox\": [389, 398, 395, 407]}, {\"cell\": \"2 (1, 0)\", \"bbox\": [440, 398, 468, 407]}, {\"cell\": \"Interpersonal skills\", \"bbox\": [0, 410, 68, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [135, 410, 142, 420]}, {\"cell\": \"2\", \"bbox\": [189, 410, 195, 420]}, {\"cell\": \"9 (3, 1)\", \"bbox\": [248, 410, 276, 420]}, {\"cell\": \"1\", \"bbox\": [340, 410, 346, 420]}, {\"cell\": \"0\", \"bbox\": [389, 410, 395, 420]}, {\"cell\": \"3 (1, 0)\", \"bbox\": [440, 410, 468, 420]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4853449_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}651{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Smoking</b></td><td><b>Overweight</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>All<sup>a</sup></td><td>Age < 65</td><td>Age ≥ 65</td><td>[EMPTY_CELL]</td></tr><tr><td>n</td><td>63,888</td><td>36,975</td><td>26,913</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">FDep</td></tr><tr><td>Quintile 1 [ref.]</td><td>–</td><td>–</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>0.90 (0.86; 0.94)</td><td>0.96 (0.90; 1.02)</td><td>0.83 (0.77; 0.89)</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>0.89 (0.85; 0.93)</td><td>0.94 (0.88; 1.00)</td><td>0.83 (0.78; 0.89)</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>0.85 (0.81; 0.90)</td><td>0.94 (0.88; 1.01)</td><td>0.74 (0.68; 0.80)</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>0.80 (0.75; 0.84)</td><td>0.84 (0.78; 0.91)</td><td>0.74 (0.68; 0.81)</td><td>[EMPTY_CELL]</td></tr><tr><td>p-value for trend</td><td><0.0001</td><td><0.0001</td><td><0.0001</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">FEDI</td></tr><tr><td>Quintile 1 [ref.]</td><td>–</td><td>–</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>1.05 (1.00; 1.10)</td><td>1.05 (0.99; 1.12)</td><td>1.05 (0.97; 1.13)</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>1.01 (0.96; 1.06)</td><td>1.06 (1.00; 1.13)</td><td>0.94 (0.87; 1.01)</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>1.02 (0.98; 1.08)</td><td>1.06 (1.00; 1.13)</td><td>0.97 (0.90; 1.05)</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>1.04 (0.98; 1.10)</td><td>1.07 (0.99; 1.16)</td><td>0.99 (0.90; 1.08)</td><td>[EMPTY_CELL]</td></tr><tr><td>p-value for trend</td><td>0.45</td><td>0.04</td><td>0.21</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Townsend</td></tr><tr><td>Quintile 1 [ref.]</td><td>–</td><td>–</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>0.99 (0.94; 1.04)</td><td>1.00 (0.94; 1.06)</td><td>0.98 (0.90; 1.06)</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>1.01 (0.96; 1.06)</td><td>1.02 (0.96; 1.08)</td><td>1.00 (0.92; 1.08)</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>1.07 (1.01; 1.13)</td><td>1.13 (1.05; 1.21)</td><td>1.00 (0.92; 1.08)</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>1.39 (1.31; 1.48)</td><td>1.41 (1.30; 1.53)</td><td>1.35 (1.23; 1.49)</td><td>[EMPTY_CELL]</td></tr><tr><td>p-value for trend</td><td><0.0001</td><td><0.0001</td><td><0.0001</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Smoking</b>\", \"bbox\": [113, 4, 143, 13]}, {\"cell\": \"<b>Overweight</b>\", \"bbox\": [434, 4, 473, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All<sup>a</sup>\", \"bbox\": [113, 15, 125, 27]}, {\"cell\": \"Age < 65\", \"bbox\": [220, 17, 250, 27]}, {\"cell\": \"Age ≥ 65\", \"bbox\": [327, 17, 358, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 15, 446, 27]}, {\"cell\": \"n\", \"bbox\": [1, 31, 7, 41]}, {\"cell\": \"63,888\", \"bbox\": [113, 31, 135, 41]}, {\"cell\": \"36,975\", \"bbox\": [220, 31, 242, 41]}, {\"cell\": \"26,913\", \"bbox\": [327, 31, 349, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 31, 456, 41]}, {\"cell\": \"FDep\", \"bbox\": [1, 45, 19, 55]}, {\"cell\": \"Quintile 1 [ref.]\", \"bbox\": [1, 59, 50, 69]}, {\"cell\": \"–\", \"bbox\": [113, 63, 119, 67]}, {\"cell\": \"–\", \"bbox\": [220, 63, 226, 67]}, {\"cell\": \"–\", \"bbox\": [327, 63, 333, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 63, 440, 67]}, {\"cell\": \"2\", \"bbox\": [1, 73, 6, 83]}, {\"cell\": \"0.90 (0.86; 0.94)\", \"bbox\": [113, 73, 164, 83]}, {\"cell\": \"0.96 (0.90; 1.02)\", \"bbox\": [220, 73, 270, 83]}, {\"cell\": \"0.83 (0.77; 0.89)\", \"bbox\": [327, 73, 377, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 73, 484, 83]}, {\"cell\": \"3\", \"bbox\": [1, 87, 6, 97]}, {\"cell\": \"0.89 (0.85; 0.93)\", \"bbox\": [113, 87, 164, 97]}, {\"cell\": \"0.94 (0.88; 1.00)\", \"bbox\": [220, 87, 270, 97]}, {\"cell\": \"0.83 (0.78; 0.89)\", \"bbox\": [327, 87, 377, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 87, 484, 97]}, {\"cell\": \"4\", \"bbox\": [1, 101, 6, 111]}, {\"cell\": \"0.85 (0.81; 0.90)\", \"bbox\": [113, 101, 164, 111]}, {\"cell\": \"0.94 (0.88; 1.01)\", \"bbox\": [220, 101, 270, 111]}, {\"cell\": \"0.74 (0.68; 0.80)\", \"bbox\": [327, 101, 377, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 101, 484, 111]}, {\"cell\": \"5\", \"bbox\": [1, 115, 6, 125]}, {\"cell\": \"0.80 (0.75; 0.84)\", \"bbox\": [113, 115, 164, 125]}, {\"cell\": \"0.84 (0.78; 0.91)\", \"bbox\": [220, 115, 270, 125]}, {\"cell\": \"0.74 (0.68; 0.81)\", \"bbox\": [327, 115, 377, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 115, 484, 125]}, {\"cell\": \"p-value for trend\", \"bbox\": [1, 129, 57, 139]}, {\"cell\": \"<0.0001\", \"bbox\": [113, 129, 140, 139]}, {\"cell\": \"<0.0001\", \"bbox\": [220, 129, 247, 139]}, {\"cell\": \"<0.0001\", \"bbox\": [327, 129, 354, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 129, 461, 139]}, {\"cell\": \"FEDI\", \"bbox\": [1, 143, 17, 153]}, {\"cell\": \"Quintile 1 [ref.]\", \"bbox\": [1, 157, 50, 167]}, {\"cell\": \"–\", \"bbox\": [113, 161, 119, 165]}, {\"cell\": \"–\", \"bbox\": [220, 161, 226, 165]}, {\"cell\": \"–\", \"bbox\": [327, 161, 333, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 161, 440, 165]}, {\"cell\": \"2\", \"bbox\": [1, 171, 6, 181]}, {\"cell\": \"1.05 (1.00; 1.10)\", \"bbox\": [113, 171, 164, 181]}, {\"cell\": \"1.05 (0.99; 1.12)\", \"bbox\": [220, 171, 270, 181]}, {\"cell\": \"1.05 (0.97; 1.13)\", \"bbox\": [327, 171, 377, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 171, 484, 181]}, {\"cell\": \"3\", \"bbox\": [1, 185, 6, 195]}, {\"cell\": \"1.01 (0.96; 1.06)\", \"bbox\": [113, 185, 164, 195]}, {\"cell\": \"1.06 (1.00; 1.13)\", \"bbox\": [220, 185, 270, 195]}, {\"cell\": \"0.94 (0.87; 1.01)\", \"bbox\": [327, 185, 377, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 185, 484, 195]}, {\"cell\": \"4\", \"bbox\": [1, 199, 6, 209]}, {\"cell\": \"1.02 (0.98; 1.08)\", \"bbox\": [113, 199, 164, 209]}, {\"cell\": \"1.06 (1.00; 1.13)\", \"bbox\": [220, 199, 270, 209]}, {\"cell\": \"0.97 (0.90; 1.05)\", \"bbox\": [327, 199, 377, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 199, 484, 209]}, {\"cell\": \"5\", \"bbox\": [1, 213, 6, 223]}, {\"cell\": \"1.04 (0.98; 1.10)\", \"bbox\": [113, 213, 164, 223]}, {\"cell\": \"1.07 (0.99; 1.16)\", \"bbox\": [220, 213, 270, 223]}, {\"cell\": \"0.99 (0.90; 1.08)\", \"bbox\": [327, 213, 377, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 213, 484, 223]}, {\"cell\": \"p-value for trend\", \"bbox\": [1, 227, 57, 237]}, {\"cell\": \"0.45\", \"bbox\": [113, 227, 128, 237]}, {\"cell\": \"0.04\", \"bbox\": [220, 227, 235, 237]}, {\"cell\": \"0.21\", \"bbox\": [327, 227, 342, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 227, 461, 237]}, {\"cell\": \"Townsend\", \"bbox\": [1, 241, 36, 251]}, {\"cell\": \"Quintile 1 [ref.]\", \"bbox\": [1, 255, 50, 265]}, {\"cell\": \"–\", \"bbox\": [113, 259, 119, 263]}, {\"cell\": \"–\", \"bbox\": [220, 259, 226, 263]}, {\"cell\": \"–\", \"bbox\": [327, 259, 333, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 259, 440, 263]}, {\"cell\": \"2\", \"bbox\": [1, 269, 6, 279]}, {\"cell\": \"0.99 (0.94; 1.04)\", \"bbox\": [113, 269, 164, 279]}, {\"cell\": \"1.00 (0.94; 1.06)\", \"bbox\": [220, 269, 270, 279]}, {\"cell\": \"0.98 (0.90; 1.06)\", \"bbox\": [327, 269, 377, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 269, 484, 279]}, {\"cell\": \"3\", \"bbox\": [1, 283, 6, 293]}, {\"cell\": \"1.01 (0.96; 1.06)\", \"bbox\": [113, 283, 164, 293]}, {\"cell\": \"1.02 (0.96; 1.08)\", \"bbox\": [220, 283, 270, 293]}, {\"cell\": \"1.00 (0.92; 1.08)\", \"bbox\": [327, 283, 377, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 283, 484, 293]}, {\"cell\": \"4\", \"bbox\": [1, 297, 6, 307]}, {\"cell\": \"1.07 (1.01; 1.13)\", \"bbox\": [113, 297, 164, 307]}, {\"cell\": \"1.13 (1.05; 1.21)\", \"bbox\": [220, 297, 270, 307]}, {\"cell\": \"1.00 (0.92; 1.08)\", \"bbox\": [327, 297, 377, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 297, 484, 307]}, {\"cell\": \"5\", \"bbox\": [1, 311, 6, 321]}, {\"cell\": \"1.39 (1.31; 1.48)\", \"bbox\": [113, 311, 164, 321]}, {\"cell\": \"1.41 (1.30; 1.53)\", \"bbox\": [220, 311, 270, 321]}, {\"cell\": \"1.35 (1.23; 1.49)\", \"bbox\": [327, 311, 377, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 311, 484, 321]}, {\"cell\": \"p-value for trend\", \"bbox\": [1, 325, 57, 335]}, {\"cell\": \"<0.0001\", \"bbox\": [113, 325, 140, 335]}, {\"cell\": \"<0.0001\", \"bbox\": [220, 325, 247, 335]}, {\"cell\": \"<0.0001\", \"bbox\": [327, 325, 354, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [434, 325, 452, 335]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5732455_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}652{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Number</b></td><td><b>Proportion (%)</b></td></tr></thead><tbody><tr><td>Age group (years)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 18–44</td><td>[EMPTY_CELL]</td><td>33.3</td></tr><tr><td> 45–64</td><td>[EMPTY_CELL]</td><td>53.0</td></tr><tr><td> ≥65</td><td>[EMPTY_CELL]</td><td>13.8</td></tr><tr><td>Gender</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>[EMPTY_CELL]</td><td>47.6</td></tr><tr><td> Female</td><td>[EMPTY_CELL]</td><td>52.4</td></tr><tr><td>Residence location</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Urban</td><td>[EMPTY_CELL]</td><td>46.5</td></tr><tr><td> Rural</td><td>[EMPTY_CELL]</td><td>53.5</td></tr><tr><td>Education groups</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> ≤6 years</td><td>[EMPTY_CELL]</td><td>57.6</td></tr><tr><td> >6 years</td><td>[EMPTY_CELL]</td><td>42.4</td></tr><tr><td>Annual family income(USD)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> ≤1,999</td><td>[EMPTY_CELL]</td><td>46.9</td></tr><tr><td> 2,000–3,999</td><td>[EMPTY_CELL]</td><td>28.2</td></tr><tr><td> ≥4,000</td><td>[EMPTY_CELL]</td><td>24.9</td></tr><tr><td>Hypertension</td><td>[EMPTY_CELL]</td><td>45.1</td></tr><tr><td>Diabetes mellitus</td><td>[EMPTY_CELL]</td><td>10.3</td></tr><tr><td>Hyperlipidedmia</td><td>[EMPTY_CELL]</td><td>55.0</td></tr><tr><td>BMI group (kg/m<sup>2</sup>)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <18.5 (underweight)</td><td>[EMPTY_CELL]</td><td>3.0</td></tr><tr><td> 18.5–24.9 (normal)</td><td>[EMPTY_CELL]</td><td>63.7</td></tr><tr><td> ≥25–29.9 (over weight)</td><td>[EMPTY_CELL]</td><td>30</td></tr><tr><td> ≥30 (obesity)</td><td>[EMPTY_CELL]</td><td>3.3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 8, 52, 18]}, {\"cell\": \"<b>Number</b>\", \"bbox\": [124, 8, 154, 18]}, {\"cell\": \"<b>Proportion (%)</b>\", \"bbox\": [178, 8, 233, 18]}, {\"cell\": \"Age group (years)\", \"bbox\": [1, 28, 66, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 18–44\", \"bbox\": [8, 39, 33, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 39, 147, 49]}, {\"cell\": \"33.3\", \"bbox\": [197, 39, 214, 49]}, {\"cell\": \" 45–64\", \"bbox\": [8, 51, 33, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 51, 147, 61]}, {\"cell\": \"53.0\", \"bbox\": [197, 51, 214, 61]}, {\"cell\": \" ≥65\", \"bbox\": [9, 63, 28, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 63, 147, 73]}, {\"cell\": \"13.8\", \"bbox\": [197, 63, 214, 73]}, {\"cell\": \"Gender\", \"bbox\": [1, 75, 29, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [8, 87, 28, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 87, 147, 97]}, {\"cell\": \"47.6\", \"bbox\": [197, 87, 214, 97]}, {\"cell\": \" Female\", \"bbox\": [8, 99, 36, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 99, 147, 109]}, {\"cell\": \"52.4\", \"bbox\": [197, 99, 214, 109]}, {\"cell\": \"Residence location\", \"bbox\": [1, 111, 71, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Urban\", \"bbox\": [8, 123, 32, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 123, 147, 133]}, {\"cell\": \"46.5\", \"bbox\": [197, 123, 214, 133]}, {\"cell\": \" Rural\", \"bbox\": [8, 135, 29, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 135, 147, 145]}, {\"cell\": \"53.5\", \"bbox\": [197, 135, 214, 145]}, {\"cell\": \"Education groups\", \"bbox\": [1, 147, 66, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤6 years\", \"bbox\": [9, 159, 46, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 159, 147, 169]}, {\"cell\": \"57.6\", \"bbox\": [197, 159, 214, 169]}, {\"cell\": \" >6 years\", \"bbox\": [9, 171, 46, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 171, 147, 180]}, {\"cell\": \"42.4\", \"bbox\": [197, 171, 214, 180]}, {\"cell\": \"Annual family income(USD)\", \"bbox\": [1, 183, 100, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤1,999\", \"bbox\": [9, 195, 39, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 195, 147, 204]}, {\"cell\": \"46.9\", \"bbox\": [197, 195, 214, 204]}, {\"cell\": \" 2,000–3,999\", \"bbox\": [8, 207, 55, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 207, 147, 216]}, {\"cell\": \"28.2\", \"bbox\": [197, 207, 214, 216]}, {\"cell\": \" ≥4,000\", \"bbox\": [9, 219, 39, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 219, 147, 228]}, {\"cell\": \"24.9\", \"bbox\": [197, 219, 214, 228]}, {\"cell\": \"Hypertension\", \"bbox\": [1, 231, 50, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 231, 147, 240]}, {\"cell\": \"45.1\", \"bbox\": [197, 231, 214, 240]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [1, 243, 64, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 243, 147, 252]}, {\"cell\": \"10.3\", \"bbox\": [197, 243, 214, 252]}, {\"cell\": \"Hyperlipidedmia\", \"bbox\": [1, 255, 60, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 255, 147, 264]}, {\"cell\": \"55.0\", \"bbox\": [197, 255, 214, 264]}, {\"cell\": \"BMI group (kg/m<sup>2</sup>)\", \"bbox\": [1, 265, 69, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <18.5 (underweight)\", \"bbox\": [9, 279, 85, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 279, 145, 288]}, {\"cell\": \"3.0\", \"bbox\": [199, 279, 212, 288]}, {\"cell\": \" 18.5–24.9 (normal)\", \"bbox\": [8, 291, 77, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 291, 150, 300]}, {\"cell\": \"63.7\", \"bbox\": [197, 291, 214, 300]}, {\"cell\": \" ≥25–29.9 (over weight)\", \"bbox\": [9, 303, 97, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 303, 147, 312]}, {\"cell\": \"30\", \"bbox\": [200, 303, 211, 312]}, {\"cell\": \" ≥30 (obesity)\", \"bbox\": [9, 314, 61, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 314, 145, 324]}, {\"cell\": \"3.3\", \"bbox\": [199, 314, 212, 324]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4090366_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}653{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Host factors</b></td><td><b>Biological functions</b></td><td><b>Type of resistance</b></td><td><b>Positive or negative Roles</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>GmHSP90, GmRARl</td><td>Defense signaling</td><td>Rsvl-mediated</td><td>Positive</td><td>[EMPTY_CELL]</td></tr><tr><td>GmSGTl, GmEDSl, GmEDRl, GmJARl,</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>GmPAD4, GmWRKY6, GmWRKY30</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>GmMPK4</td><td>Defense signaling</td><td>Basal</td><td>Negative</td><td>[EMPTY_CELL]</td></tr><tr><td>GmMPK6</td><td>Defense signaling</td><td>Basal</td><td>Positive/negative</td><td>[EMPTY_CELL]</td></tr><tr><td>GmHSP40.1</td><td>Co-chaperone</td><td>Basal</td><td>Positive</td><td>[EMPTY_CELL]</td></tr><tr><td>GmPP2C</td><td>ABA signaling</td><td>Rsv3-mediated</td><td>Positive</td><td>[EMPTY_CELL]</td></tr><tr><td>GmAKT2</td><td>K<sup>+</sup> channel</td><td>Basal</td><td>Positive</td><td>[EMPTY_CELL]</td></tr><tr><td>GmCNXl</td><td>Moco biosynthesis</td><td>Basal</td><td>Positive</td><td>[EMPTY_CELL]</td></tr><tr><td>GmelF5A</td><td>Translation initiation</td><td>flsi/3-mediated</td><td>Positive</td><td>[EMPTY_CELL]</td></tr><tr><td>GmeEFla</td><td>Translation elongation</td><td>Basal</td><td>Negative</td><td>[EMPTY_CELL]</td></tr><tr><td>GmAGOl</td><td>Gene silencing</td><td>Silencing-mediated</td><td>Positive</td><td>[EMPTY_CELL]</td></tr><tr><td>GmSGS3</td><td>Gene silencing</td><td>Silencing-mediated</td><td>Positive</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Host factors</b>\", \"bbox\": [1, 6, 44, 15]}, {\"cell\": \"<b>Biological functions</b>\", \"bbox\": [106, 6, 174, 15]}, {\"cell\": \"<b>Type of resistance</b>\", \"bbox\": [211, 6, 274, 15]}, {\"cell\": \"<b>Positive or negative Roles</b>\", \"bbox\": [312, 6, 401, 15]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [453, 6, 489, 15]}, {\"cell\": \"GmHSP90, GmRARl\", \"bbox\": [1, 23, 65, 32]}, {\"cell\": \"Defense signaling\", \"bbox\": [112, 23, 167, 32]}, {\"cell\": \"Rsvl-mediated\", \"bbox\": [220, 23, 265, 32]}, {\"cell\": \"Positive\", \"bbox\": [344, 23, 369, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 23, 495, 32]}, {\"cell\": \"GmSGTl, GmEDSl, GmEDRl, GmJARl,\", \"bbox\": [1, 35, 60, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [443, 35, 500, 43]}, {\"cell\": \"GmPAD4, GmWRKY6, GmWRKY30\", \"bbox\": [1, 56, 71, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GmMPK4\", \"bbox\": [1, 76, 32, 85]}, {\"cell\": \"Defense signaling\", \"bbox\": [112, 76, 167, 85]}, {\"cell\": \"Basal\", \"bbox\": [233, 76, 252, 85]}, {\"cell\": \"Negative\", \"bbox\": [342, 76, 371, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 76, 494, 85]}, {\"cell\": \"GmMPK6\", \"bbox\": [1, 88, 32, 96]}, {\"cell\": \"Defense signaling\", \"bbox\": [112, 88, 167, 96]}, {\"cell\": \"Basal\", \"bbox\": [233, 88, 252, 96]}, {\"cell\": \"Positive/negative\", \"bbox\": [330, 88, 383, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 88, 494, 96]}, {\"cell\": \"GmHSP40.1\", \"bbox\": [1, 99, 41, 108]}, {\"cell\": \"Co-chaperone\", \"bbox\": [117, 99, 163, 108]}, {\"cell\": \"Basal\", \"bbox\": [233, 99, 252, 108]}, {\"cell\": \"Positive\", \"bbox\": [344, 99, 369, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [435, 99, 507, 108]}, {\"cell\": \"GmPP2C\", \"bbox\": [1, 110, 31, 119]}, {\"cell\": \"ABA signaling\", \"bbox\": [118, 110, 162, 119]}, {\"cell\": \"Rsv3-mediated\", \"bbox\": [218, 110, 266, 119]}, {\"cell\": \"Positive\", \"bbox\": [344, 110, 369, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [446, 110, 496, 119]}, {\"cell\": \"GmAKT2\", \"bbox\": [1, 122, 30, 130]}, {\"cell\": \"K<sup>+</sup> channel\", \"bbox\": [122, 121, 158, 130]}, {\"cell\": \"Basal\", \"bbox\": [233, 122, 252, 130]}, {\"cell\": \"Positive\", \"bbox\": [344, 122, 369, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 122, 498, 130]}, {\"cell\": \"GmCNXl\", \"bbox\": [1, 133, 29, 142]}, {\"cell\": \"Moco biosynthesis\", \"bbox\": [111, 133, 169, 142]}, {\"cell\": \"Basal\", \"bbox\": [233, 133, 252, 142]}, {\"cell\": \"Positive\", \"bbox\": [344, 133, 369, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 133, 498, 142]}, {\"cell\": \"GmelF5A\", \"bbox\": [1, 145, 31, 153]}, {\"cell\": \"Translation initiation\", \"bbox\": [110, 145, 170, 153]}, {\"cell\": \"flsi/3-mediated\", \"bbox\": [219, 145, 266, 153]}, {\"cell\": \"Positive\", \"bbox\": [344, 145, 369, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [442, 145, 500, 153]}, {\"cell\": \"GmeEFla\", \"bbox\": [1, 156, 30, 164]}, {\"cell\": \"Translation elongation\", \"bbox\": [106, 156, 173, 164]}, {\"cell\": \"Basal\", \"bbox\": [233, 156, 252, 164]}, {\"cell\": \"Negative\", \"bbox\": [342, 156, 371, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 156, 497, 164]}, {\"cell\": \"GmAGOl\", \"bbox\": [1, 167, 30, 176]}, {\"cell\": \"Gene silencing\", \"bbox\": [117, 167, 163, 176]}, {\"cell\": \"Silencing-mediated\", \"bbox\": [212, 167, 272, 176]}, {\"cell\": \"Positive\", \"bbox\": [344, 167, 369, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 167, 498, 176]}, {\"cell\": \"GmSGS3\", \"bbox\": [1, 179, 31, 187]}, {\"cell\": \"Gene silencing\", \"bbox\": [117, 179, 163, 187]}, {\"cell\": \"Silencing-mediated\", \"bbox\": [212, 179, 272, 187]}, {\"cell\": \"Positive\", \"bbox\": [344, 179, 369, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 179, 498, 187]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5127794_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}654{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variables</b></td><td colspan=\\\"4\\\"><b>Surgery (N = 162)</b></td><td colspan=\\\"4\\\"><b>Non-surgery (N = 312)</b></td></tr><tr><td><b>N</b></td><td><b># of death</b></td><td><b>Crude HR (95%C.I.)</b></td><td><b>Adjusted HR (95%C.I.)</b></td><td><b>N</b></td><td><b># of death</b></td><td><b>Crude HR (95%C.I.)</b></td><td><b>Adjusted HR (95%C.I.)</b></td></tr></thead><tbody><tr><td><b><i>QLQ-LC13</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Dyspnoea (=0 as reference)</td><td>82</td><td>8</td><td>1.00</td><td>[EMPTY_CELL]</td><td>107</td><td>44</td><td>1.00</td><td>1.00</td></tr><tr><td>>0</td><td>79</td><td>26</td><td>2.03 (0.91-4.51)</td><td>[EMPTY_CELL]</td><td>201</td><td>120</td><td>1.32 (0.93-1.86)</td><td>1.16 (0.80-1.69)</td></tr><tr><td>Cough (=0 as reference)</td><td>52</td><td>10</td><td>1.00</td><td>[EMPTY_CELL]</td><td>82</td><td>43</td><td>1.00</td><td>1.00</td></tr><tr><td>>0</td><td>109</td><td>24</td><td>1.31 (0.63-2.75)</td><td>[EMPTY_CELL]</td><td>230</td><td>125</td><td>1.19 (0.84-1.69)</td><td>0.97 (0.68-1.40)</td></tr><tr><td>Hemoptysis (=0 as reference)</td><td>146</td><td>30</td><td>1.00</td><td>[EMPTY_CELL]</td><td>261</td><td>142</td><td>1.00</td><td>1.00</td></tr><tr><td>>0</td><td>15</td><td>4</td><td>2.23 (0.78-6.37)</td><td>[EMPTY_CELL]</td><td>50</td><td>26</td><td>1.57 (1.03-2.39)*</td><td>1.04 (0.65-1.69)</td></tr><tr><td>Sore Mouth (=0 as reference)</td><td>154</td><td>30</td><td>1.00</td><td>[EMPTY_CELL]</td><td>278</td><td>147</td><td>1.00</td><td>1.00</td></tr><tr><td>>0</td><td>7</td><td>4</td><td>3.59 (1.26-10.20)*</td><td>[EMPTY_CELL]</td><td>33</td><td>21</td><td>1.16 (0.73-1.84)</td><td>1.03 (0.60-1.76)</td></tr><tr><td>Dysphagia (=0 as reference)</td><td>144</td><td>29</td><td>1.00</td><td>[EMPTY_CELL]</td><td>257</td><td>135</td><td>1.00</td><td>1.00</td></tr><tr><td>>0</td><td>17</td><td>5</td><td>1.31 (0.51-3.40)</td><td>[EMPTY_CELL]</td><td>53</td><td>32</td><td>1.73 (1.18-2.55)**</td><td>1.06 (0.68-1.64)</td></tr><tr><td>Peripheral Neuropathy (=0 as reference)</td><td>108</td><td>23</td><td>1.00</td><td>[EMPTY_CELL]</td><td>213</td><td>109</td><td>1.00</td><td>1.00</td></tr><tr><td>>0</td><td>53</td><td>11</td><td>0.86 (0.42-1.77)</td><td>[EMPTY_CELL]</td><td>97</td><td>59</td><td>1.10 (0.80-1.51)</td><td>1.03 (0.73-1.46)</td></tr><tr><td>Hair Loss (=0 as reference)</td><td>140</td><td>29</td><td>1.00</td><td>[EMPTY_CELL]</td><td>262</td><td>137</td><td>1.00</td><td>1.00</td></tr><tr><td>>0</td><td>21</td><td>5</td><td>1.01 (0.39-2.62)</td><td>[EMPTY_CELL]</td><td>47</td><td>29</td><td>0.99 (0.66-1.47)</td><td>1.11 (0.71-1.73)</td></tr><tr><td>Chest Pain (=0 as reference)</td><td>107</td><td>20</td><td>1.00</td><td>[EMPTY_CELL]</td><td>183</td><td>94</td><td>1.00</td><td>1.00</td></tr><tr><td>>0</td><td>54</td><td>14</td><td>1.05 (0.53-2.09)</td><td>[EMPTY_CELL]</td><td>128</td><td>73</td><td>1.07 (0.79-1.45)</td><td>0.97 (0.70-1.34)</td></tr><tr><td>Pain in Arm or Shoulder (=0 as reference)</td><td>123</td><td>25</td><td>1.00</td><td>[EMPTY_CELL]</td><td>217</td><td>114</td><td>1.00</td><td>1.00</td></tr><tr><td>>0</td><td>37</td><td>9</td><td>0.86 (0.40-1.84)</td><td>[EMPTY_CELL]</td><td>93</td><td>53</td><td>1.20 (0.87-1.67)</td><td>0.96 (0.66-1.39)</td></tr><tr><td>Other Pain Sites (=0 as reference)</td><td>117</td><td>26</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>193</td><td>106</td><td>1.00</td><td>1.00</td></tr><tr><td>>0</td><td>41</td><td>7</td><td>0.60 (0.26-1.39)</td><td>[EMPTY_CELL]</td><td>106</td><td>53</td><td>1.02 (0.74-1.42)</td><td>0.96 (0.67-1.38)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 17, 34, 27]}, {\"cell\": \"<b>Surgery (N = 162)</b>\", \"bbox\": [192, 4, 254, 13]}, {\"cell\": \"<b>Non-surgery (N = 312)</b>\", \"bbox\": [359, 4, 436, 13]}, {\"cell\": \"<b>N</b>\", \"bbox\": [145, 17, 152, 27]}, {\"cell\": \"<b># of death</b>\", \"bbox\": [161, 17, 183, 36]}, {\"cell\": \"<b>Crude HR (95%C.I.)</b>\", \"bbox\": [200, 17, 235, 36]}, {\"cell\": \"<b>Adjusted HR (95%C.I.)</b>\", \"bbox\": [255, 17, 301, 36]}, {\"cell\": \"<b>N</b>\", \"bbox\": [314, 17, 321, 27]}, {\"cell\": \"<b># of death</b>\", \"bbox\": [330, 17, 368, 27]}, {\"cell\": \"<b>Crude HR (95%C.I.)</b>\", \"bbox\": [384, 17, 419, 36]}, {\"cell\": \"<b>Adjusted HR (95%C.I.)</b>\", \"bbox\": [437, 17, 482, 36]}, {\"cell\": \"<b><i>QLQ-LC13</i></b>\", \"bbox\": [1, 39, 36, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dyspnoea (=0 as reference)\", \"bbox\": [1, 53, 90, 63]}, {\"cell\": \"82\", \"bbox\": [146, 53, 155, 63]}, {\"cell\": \"8\", \"bbox\": [171, 53, 177, 63]}, {\"cell\": \"1.00\", \"bbox\": [189, 53, 204, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 53, 266, 63]}, {\"cell\": \"107\", \"bbox\": [310, 53, 324, 63]}, {\"cell\": \"44\", \"bbox\": [346, 53, 356, 63]}, {\"cell\": \"1.00\", \"bbox\": [374, 53, 389, 63]}, {\"cell\": \"1.00\", \"bbox\": [435, 53, 450, 63]}, {\"cell\": \">0\", \"bbox\": [1, 67, 11, 77]}, {\"cell\": \"79\", \"bbox\": [146, 67, 155, 77]}, {\"cell\": \"26\", \"bbox\": [168, 67, 177, 77]}, {\"cell\": \"2.03 (0.91-4.51)\", \"bbox\": [189, 67, 239, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 67, 301, 77]}, {\"cell\": \"201\", \"bbox\": [310, 67, 324, 77]}, {\"cell\": \"120\", \"bbox\": [342, 67, 356, 77]}, {\"cell\": \"1.32 (0.93-1.86)\", \"bbox\": [374, 67, 423, 77]}, {\"cell\": \"1.16 (0.80-1.69)\", \"bbox\": [435, 67, 484, 77]}, {\"cell\": \"Cough (=0 as reference)\", \"bbox\": [1, 81, 80, 91]}, {\"cell\": \"52\", \"bbox\": [146, 81, 155, 91]}, {\"cell\": \"10\", \"bbox\": [168, 81, 177, 91]}, {\"cell\": \"1.00\", \"bbox\": [189, 81, 204, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 81, 266, 91]}, {\"cell\": \"82\", \"bbox\": [314, 81, 324, 91]}, {\"cell\": \"43\", \"bbox\": [346, 81, 356, 91]}, {\"cell\": \"1.00\", \"bbox\": [374, 81, 389, 91]}, {\"cell\": \"1.00\", \"bbox\": [435, 81, 450, 91]}, {\"cell\": \">0\", \"bbox\": [1, 95, 11, 105]}, {\"cell\": \"109\", \"bbox\": [142, 95, 156, 105]}, {\"cell\": \"24\", \"bbox\": [168, 95, 177, 105]}, {\"cell\": \"1.31 (0.63-2.75)\", \"bbox\": [189, 95, 239, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 95, 301, 105]}, {\"cell\": \"230\", \"bbox\": [310, 95, 324, 105]}, {\"cell\": \"125\", \"bbox\": [342, 95, 356, 105]}, {\"cell\": \"1.19 (0.84-1.69)\", \"bbox\": [374, 95, 423, 105]}, {\"cell\": \"0.97 (0.68-1.40)\", \"bbox\": [435, 95, 484, 105]}, {\"cell\": \"Hemoptysis (=0 as reference)\", \"bbox\": [1, 109, 96, 119]}, {\"cell\": \"146\", \"bbox\": [142, 109, 156, 119]}, {\"cell\": \"30\", \"bbox\": [168, 109, 177, 119]}, {\"cell\": \"1.00\", \"bbox\": [189, 109, 204, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 109, 266, 119]}, {\"cell\": \"261\", \"bbox\": [310, 109, 324, 119]}, {\"cell\": \"142\", \"bbox\": [342, 109, 356, 119]}, {\"cell\": \"1.00\", \"bbox\": [374, 109, 389, 119]}, {\"cell\": \"1.00\", \"bbox\": [435, 109, 450, 119]}, {\"cell\": \">0\", \"bbox\": [1, 123, 11, 133]}, {\"cell\": \"15\", \"bbox\": [146, 123, 155, 133]}, {\"cell\": \"4\", \"bbox\": [171, 123, 177, 133]}, {\"cell\": \"2.23 (0.78-6.37)\", \"bbox\": [189, 123, 239, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 123, 305, 133]}, {\"cell\": \"50\", \"bbox\": [314, 123, 324, 133]}, {\"cell\": \"26\", \"bbox\": [346, 123, 356, 133]}, {\"cell\": \"1.57 (1.03-2.39)*\", \"bbox\": [374, 123, 426, 133]}, {\"cell\": \"1.04 (0.65-1.69)\", \"bbox\": [435, 123, 484, 133]}, {\"cell\": \"Sore Mouth (=0 as reference)\", \"bbox\": [1, 137, 96, 147]}, {\"cell\": \"154\", \"bbox\": [142, 137, 156, 147]}, {\"cell\": \"30\", \"bbox\": [168, 137, 177, 147]}, {\"cell\": \"1.00\", \"bbox\": [189, 137, 204, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 137, 266, 147]}, {\"cell\": \"278\", \"bbox\": [310, 137, 324, 147]}, {\"cell\": \"147\", \"bbox\": [342, 137, 356, 147]}, {\"cell\": \"1.00\", \"bbox\": [374, 137, 389, 147]}, {\"cell\": \"1.00\", \"bbox\": [435, 137, 450, 147]}, {\"cell\": \">0\", \"bbox\": [1, 151, 11, 161]}, {\"cell\": \"7\", \"bbox\": [150, 151, 155, 161]}, {\"cell\": \"4\", \"bbox\": [171, 151, 177, 161]}, {\"cell\": \"3.59 (1.26-10.20)*\", \"bbox\": [189, 151, 246, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 151, 301, 161]}, {\"cell\": \"33\", \"bbox\": [314, 151, 324, 161]}, {\"cell\": \"21\", \"bbox\": [346, 151, 356, 161]}, {\"cell\": \"1.16 (0.73-1.84)\", \"bbox\": [374, 151, 423, 161]}, {\"cell\": \"1.03 (0.60-1.76)\", \"bbox\": [435, 151, 484, 161]}, {\"cell\": \"Dysphagia (=0 as reference)\", \"bbox\": [1, 165, 92, 175]}, {\"cell\": \"144\", \"bbox\": [142, 165, 156, 175]}, {\"cell\": \"29\", \"bbox\": [168, 165, 177, 175]}, {\"cell\": \"1.00\", \"bbox\": [189, 165, 204, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 165, 266, 175]}, {\"cell\": \"257\", \"bbox\": [310, 165, 324, 175]}, {\"cell\": \"135\", \"bbox\": [342, 165, 356, 175]}, {\"cell\": \"1.00\", \"bbox\": [374, 165, 389, 175]}, {\"cell\": \"1.00\", \"bbox\": [435, 165, 450, 175]}, {\"cell\": \">0\", \"bbox\": [1, 179, 11, 189]}, {\"cell\": \"17\", \"bbox\": [146, 179, 155, 189]}, {\"cell\": \"5\", \"bbox\": [171, 179, 177, 189]}, {\"cell\": \"1.31 (0.51-3.40)\", \"bbox\": [189, 179, 239, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 179, 301, 189]}, {\"cell\": \"53\", \"bbox\": [314, 179, 324, 189]}, {\"cell\": \"32\", \"bbox\": [346, 179, 356, 189]}, {\"cell\": \"1.73 (1.18-2.55)**\", \"bbox\": [374, 179, 429, 189]}, {\"cell\": \"1.06 (0.68-1.64)\", \"bbox\": [435, 179, 484, 189]}, {\"cell\": \"Peripheral Neuropathy (=0 as reference)\", \"bbox\": [1, 193, 130, 203]}, {\"cell\": \"108\", \"bbox\": [142, 193, 156, 203]}, {\"cell\": \"23\", \"bbox\": [168, 193, 177, 203]}, {\"cell\": \"1.00\", \"bbox\": [189, 193, 204, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 193, 266, 203]}, {\"cell\": \"213\", \"bbox\": [310, 193, 324, 203]}, {\"cell\": \"109\", \"bbox\": [342, 193, 356, 203]}, {\"cell\": \"1.00\", \"bbox\": [374, 193, 389, 203]}, {\"cell\": \"1.00\", \"bbox\": [435, 193, 450, 203]}, {\"cell\": \">0\", \"bbox\": [1, 207, 11, 217]}, {\"cell\": \"53\", \"bbox\": [146, 207, 155, 217]}, {\"cell\": \"11\", \"bbox\": [168, 207, 177, 217]}, {\"cell\": \"0.86 (0.42-1.77)\", \"bbox\": [189, 207, 239, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 207, 301, 217]}, {\"cell\": \"97\", \"bbox\": [314, 207, 324, 217]}, {\"cell\": \"59\", \"bbox\": [346, 207, 356, 217]}, {\"cell\": \"1.10 (0.80-1.51)\", \"bbox\": [374, 207, 423, 217]}, {\"cell\": \"1.03 (0.73-1.46)\", \"bbox\": [435, 207, 484, 217]}, {\"cell\": \"Hair Loss (=0 as reference)\", \"bbox\": [1, 221, 87, 231]}, {\"cell\": \"140\", \"bbox\": [142, 221, 156, 231]}, {\"cell\": \"29\", \"bbox\": [168, 221, 177, 231]}, {\"cell\": \"1.00\", \"bbox\": [189, 221, 205, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 221, 266, 231]}, {\"cell\": \"262\", \"bbox\": [310, 221, 324, 231]}, {\"cell\": \"137\", \"bbox\": [342, 221, 356, 231]}, {\"cell\": \"1.00\", \"bbox\": [374, 221, 389, 231]}, {\"cell\": \"1.00\", \"bbox\": [435, 221, 450, 231]}, {\"cell\": \">0\", \"bbox\": [1, 235, 11, 245]}, {\"cell\": \"21\", \"bbox\": [146, 235, 155, 245]}, {\"cell\": \"5\", \"bbox\": [171, 235, 177, 245]}, {\"cell\": \"1.01 (0.39-2.62)\", \"bbox\": [189, 235, 239, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 235, 301, 245]}, {\"cell\": \"47\", \"bbox\": [314, 235, 324, 245]}, {\"cell\": \"29\", \"bbox\": [346, 235, 356, 245]}, {\"cell\": \"0.99 (0.66-1.47)\", \"bbox\": [374, 235, 423, 245]}, {\"cell\": \"1.11 (0.71-1.73)\", \"bbox\": [435, 235, 484, 245]}, {\"cell\": \"Chest Pain (=0 as reference)\", \"bbox\": [1, 249, 92, 259]}, {\"cell\": \"107\", \"bbox\": [142, 249, 156, 259]}, {\"cell\": \"20\", \"bbox\": [168, 249, 177, 259]}, {\"cell\": \"1.00\", \"bbox\": [189, 249, 204, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 249, 266, 259]}, {\"cell\": \"183\", \"bbox\": [310, 249, 324, 259]}, {\"cell\": \"94\", \"bbox\": [346, 249, 356, 259]}, {\"cell\": \"1.00\", \"bbox\": [374, 249, 389, 259]}, {\"cell\": \"1.00\", \"bbox\": [435, 249, 450, 259]}, {\"cell\": \">0\", \"bbox\": [1, 263, 11, 273]}, {\"cell\": \"54\", \"bbox\": [146, 263, 155, 273]}, {\"cell\": \"14\", \"bbox\": [168, 263, 177, 273]}, {\"cell\": \"1.05 (0.53-2.09)\", \"bbox\": [189, 263, 239, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 263, 301, 273]}, {\"cell\": \"128\", \"bbox\": [310, 263, 324, 273]}, {\"cell\": \"73\", \"bbox\": [346, 263, 356, 273]}, {\"cell\": \"1.07 (0.79-1.45)\", \"bbox\": [374, 263, 423, 273]}, {\"cell\": \"0.97 (0.70-1.34)\", \"bbox\": [435, 263, 484, 273]}, {\"cell\": \"Pain in Arm or Shoulder (=0 as reference)\", \"bbox\": [1, 277, 136, 287]}, {\"cell\": \"123\", \"bbox\": [142, 277, 156, 287]}, {\"cell\": \"25\", \"bbox\": [168, 277, 177, 287]}, {\"cell\": \"1.00\", \"bbox\": [189, 277, 204, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 277, 266, 287]}, {\"cell\": \"217\", \"bbox\": [310, 277, 324, 287]}, {\"cell\": \"114\", \"bbox\": [342, 277, 356, 287]}, {\"cell\": \"1.00\", \"bbox\": [374, 277, 389, 287]}, {\"cell\": \"1.00\", \"bbox\": [435, 277, 450, 287]}, {\"cell\": \">0\", \"bbox\": [1, 291, 11, 301]}, {\"cell\": \"37\", \"bbox\": [146, 291, 155, 301]}, {\"cell\": \"9\", \"bbox\": [171, 291, 177, 301]}, {\"cell\": \"0.86 (0.40-1.84)\", \"bbox\": [189, 291, 239, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 291, 301, 301]}, {\"cell\": \"93\", \"bbox\": [314, 291, 324, 301]}, {\"cell\": \"53\", \"bbox\": [346, 291, 356, 301]}, {\"cell\": \"1.20 (0.87-1.67)\", \"bbox\": [374, 291, 423, 301]}, {\"cell\": \"0.96 (0.66-1.39)\", \"bbox\": [435, 291, 484, 301]}, {\"cell\": \"Other Pain Sites (=0 as reference)\", \"bbox\": [1, 305, 110, 315]}, {\"cell\": \"117\", \"bbox\": [142, 305, 156, 315]}, {\"cell\": \"26\", \"bbox\": [168, 305, 177, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 305, 266, 315]}, {\"cell\": \"193\", \"bbox\": [310, 305, 324, 315]}, {\"cell\": \"106\", \"bbox\": [342, 305, 356, 315]}, {\"cell\": \"1.00\", \"bbox\": [374, 305, 389, 315]}, {\"cell\": \"1.00\", \"bbox\": [435, 305, 450, 315]}, {\"cell\": \">0\", \"bbox\": [1, 319, 11, 329]}, {\"cell\": \"41\", \"bbox\": [146, 319, 155, 329]}, {\"cell\": \"7\", \"bbox\": [171, 319, 177, 329]}, {\"cell\": \"0.60 (0.26-1.39)\", \"bbox\": [189, 319, 239, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 319, 301, 329]}, {\"cell\": \"106\", \"bbox\": [310, 319, 324, 329]}, {\"cell\": \"53\", \"bbox\": [346, 319, 356, 329]}, {\"cell\": \"1.02 (0.74-1.42)\", \"bbox\": [374, 319, 423, 329]}, {\"cell\": \"0.96 (0.67-1.38)\", \"bbox\": [435, 319, 484, 329]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3573998_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}655{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Normal pregnant women (<i>n</i> = 32)</b></td><td><b>Preeclamptic pregnant women (<i>n</i> = 30)</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td> 27 ± 6</td><td>30 ± 6</td><td>0.078</td></tr><tr><td>[EMPTY_CELL]</td><td> 37.4 ± 1.5</td><td>35.1 ± 4.4</td><td><b>0.009</b></td></tr><tr><td>[EMPTY_CELL]</td><td>3172 ± 369</td><td>2429 ± 907</td><td><b>0.001</b></td></tr><tr><td>[EMPTY_CELL]</td><td> 27.6 ± 1.5</td><td>28.6 ± 1.1</td><td><b>0.008</b></td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>110 (90–140)</td><td>150 (140–210)</td><td><b>0.001</b></td></tr><tr><td>[EMPTY_CELL]</td><td>70 (50–100)</td><td>90 (90–120)</td><td><b>0.001</b></td></tr><tr><td>[EMPTY_CELL]</td><td>37.6 (7.90–200)</td><td>921 (307–6923)</td><td><b>0.001</b></td></tr><tr><td>[EMPTY_CELL]</td><td>9 (3–10)</td><td>9 (0–10)</td><td><b>0.038</b></td></tr><tr><td>[EMPTY_CELL]</td><td>10 (5–10)</td><td>10 (0–10)</td><td><b>0.023</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Normal pregnant women (<i>n</i> = 32)</b>\", \"bbox\": [122, 1, 246, 16]}, {\"cell\": \"<b>Preeclamptic pregnant women (<i>n</i> = 30)</b>\", \"bbox\": [287, 1, 429, 16]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [470, 1, 499, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 14, 272, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 30, 73, 40]}, {\"cell\": \" 27 ± 6\", \"bbox\": [172, 26, 196, 42]}, {\"cell\": \"30 ± 6\", \"bbox\": [346, 26, 370, 42]}, {\"cell\": \"0.078\", \"bbox\": [474, 30, 495, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 42, 85, 53]}, {\"cell\": \" 37.4 ± 1.5\", \"bbox\": [167, 39, 201, 54]}, {\"cell\": \"35.1 ± 4.4\", \"bbox\": [340, 39, 376, 54]}, {\"cell\": \"<b>0.009</b>\", \"bbox\": [473, 42, 496, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 54, 85, 65]}, {\"cell\": \"3172 ± 369\", \"bbox\": [164, 51, 203, 67]}, {\"cell\": \"2429 ± 907\", \"bbox\": [337, 51, 379, 67]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [474, 55, 495, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 67, 21, 78]}, {\"cell\": \" 27.6 ± 1.5\", \"bbox\": [167, 64, 201, 79]}, {\"cell\": \"28.6 ± 1.1\", \"bbox\": [341, 64, 375, 79]}, {\"cell\": \"<b>0.008</b>\", \"bbox\": [473, 67, 496, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 80, 286, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 93, 74, 103]}, {\"cell\": \"110 (90–140)\", \"bbox\": [161, 93, 207, 103]}, {\"cell\": \"150 (140–210)\", \"bbox\": [333, 93, 383, 103]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [474, 93, 495, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 105, 79, 116]}, {\"cell\": \"70 (50–100)\", \"bbox\": [162, 105, 206, 116]}, {\"cell\": \"90 (90–120)\", \"bbox\": [336, 105, 380, 116]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [474, 105, 495, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 118, 82, 128]}, {\"cell\": \"37.6 (7.90–200)\", \"bbox\": [156, 118, 211, 128]}, {\"cell\": \"921 (307–6923)\", \"bbox\": [330, 118, 386, 128]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [474, 118, 495, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 130, 48, 141]}, {\"cell\": \"9 (3–10)\", \"bbox\": [168, 130, 199, 141]}, {\"cell\": \"9 (0–10)\", \"bbox\": [342, 130, 374, 141]}, {\"cell\": \"<b>0.038</b>\", \"bbox\": [473, 130, 496, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 142, 49, 153]}, {\"cell\": \"10 (5–10)\", \"bbox\": [167, 142, 201, 153]}, {\"cell\": \"10 (0–10)\", \"bbox\": [341, 142, 375, 153]}, {\"cell\": \"<b>0.023</b>\", \"bbox\": [473, 143, 496, 151]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3625559_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}656{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Healthy control participants Mean ± SD (<i>n</i> = 6)</b></td><td><b>Chuvash polycythemia Mean ± SD (<i>n</i> = 3)</b></td><td><b>PHD2‐deficient patient (<i>n</i> = 1)</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Physical characteristics</td></tr><tr><td>Age (year)</td><td>24 ± 5</td><td>22 ± 5</td><td>[EMPTY_CELL]</td></tr><tr><td>Height (cm)</td><td>173 ± 10</td><td>174 ± 5</td><td>[EMPTY_CELL]</td></tr><tr><td>Weight (kg)</td><td>73 ± 11</td><td>59 ± 10</td><td>[EMPTY_CELL]</td></tr><tr><td>Body mass index (kg/m<sup>2</sup>)</td><td>24 ± 2</td><td>20 ± 5</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Full blood count</td></tr><tr><td>Hemoglobin (g/L)</td><td>137 ± 17</td><td>141 ± 21</td><td>[EMPTY_CELL]</td></tr><tr><td>Hematocrit</td><td>0.42 ± 0.05</td><td>0.48 ± 0.08</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean cell volume (fL)</td><td>89 ± 3</td><td>64 ± 6a</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Serum iron studies</td></tr><tr><td>Iron (μmol/L)</td><td>17 ± 4</td><td>4 ± 1a</td><td>[EMPTY_CELL]</td></tr><tr><td>Ferritin (ng/ml)</td><td>49 ± 37</td><td>2 ± 1</td><td>[EMPTY_CELL]</td></tr><tr><td>Transferrin (g/L)</td><td>2.6 ± 0.5</td><td>3.8 ± 0.3a</td><td>[EMPTY_CELL]</td></tr><tr><td>Transferrin saturation (%)</td><td>30 ± 9</td><td>4 ± 1</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Arterial blood gases</td></tr><tr><td>PO<sub>2</sub> (mmHg)</td><td>99 ± 11</td><td>102 ± 3</td><td>[EMPTY_CELL]</td></tr><tr><td>PCO<sub>2</sub> (mmHg)</td><td>40 ± 4</td><td>34 ± 2a</td><td>[EMPTY_CELL]</td></tr><tr><td>pH (mmHg)</td><td>7.38 ± 0.02</td><td>7.41 ± 0.02a</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Healthy control participants Mean ± SD (<i>n</i> = 6)</b>\", \"bbox\": [87, 6, 138, 47]}, {\"cell\": \"<b>Chuvash polycythemia Mean ± SD (<i>n</i> = 3)</b>\", \"bbox\": [145, 6, 189, 47]}, {\"cell\": \"<b>PHD2‐deficient patient (<i>n</i> = 1)</b>\", \"bbox\": [196, 6, 225, 47]}, {\"cell\": \"Physical characteristics\", \"bbox\": [6, 55, 80, 64]}, {\"cell\": \"Age (year)\", \"bbox\": [10, 65, 45, 74]}, {\"cell\": \"24 ± 5\", \"bbox\": [93, 65, 119, 74]}, {\"cell\": \"22 ± 5\", \"bbox\": [150, 65, 176, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 65, 216, 74]}, {\"cell\": \"Height (cm)\", \"bbox\": [10, 76, 50, 85]}, {\"cell\": \"173 ± 10\", \"bbox\": [89, 76, 123, 85]}, {\"cell\": \"174 ± 5\", \"bbox\": [146, 76, 176, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 76, 218, 85]}, {\"cell\": \"Weight (kg)\", \"bbox\": [10, 86, 50, 95]}, {\"cell\": \"73 ± 11\", \"bbox\": [93, 86, 123, 95]}, {\"cell\": \"59 ± 10\", \"bbox\": [150, 86, 180, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 86, 216, 95]}, {\"cell\": \"Body mass index (kg/m<sup>2</sup>)\", \"bbox\": [10, 97, 66, 116]}, {\"cell\": \"24 ± 2\", \"bbox\": [93, 97, 119, 106]}, {\"cell\": \"20 ± 5\", \"bbox\": [150, 97, 176, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 97, 216, 106]}, {\"cell\": \"Full blood count\", \"bbox\": [6, 117, 61, 127]}, {\"cell\": \"Hemoglobin (g/L)\", \"bbox\": [10, 128, 67, 137]}, {\"cell\": \"137 ± 17\", \"bbox\": [89, 128, 123, 137]}, {\"cell\": \"141 ± 21\", \"bbox\": [146, 128, 180, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 128, 218, 137]}, {\"cell\": \"Hematocrit\", \"bbox\": [10, 138, 47, 148]}, {\"cell\": \"0.42 ± 0.05\", \"bbox\": [87, 138, 129, 148]}, {\"cell\": \"0.48 ± 0.08\", \"bbox\": [144, 138, 186, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 138, 219, 148]}, {\"cell\": \"Mean cell volume (fL)\", \"bbox\": [10, 149, 69, 169]}, {\"cell\": \"89 ± 3\", \"bbox\": [93, 149, 119, 158]}, {\"cell\": \"64 ± 6a\", \"bbox\": [150, 147, 179, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 149, 216, 158]}, {\"cell\": \"Serum iron studies\", \"bbox\": [6, 170, 68, 179]}, {\"cell\": \"Iron (μmol/L)\", \"bbox\": [10, 180, 53, 190]}, {\"cell\": \"17 ± 4\", \"bbox\": [93, 180, 119, 190]}, {\"cell\": \"4 ± 1a\", \"bbox\": [154, 179, 179, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 180, 216, 190]}, {\"cell\": \"Ferritin (ng/ml)\", \"bbox\": [10, 191, 59, 200]}, {\"cell\": \"49 ± 37\", \"bbox\": [93, 191, 123, 200]}, {\"cell\": \"2 ± 1\", \"bbox\": [154, 191, 176, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 191, 218, 200]}, {\"cell\": \"Transferrin (g/L)\", \"bbox\": [10, 201, 62, 210]}, {\"cell\": \"2.6 ± 0.5\", \"bbox\": [91, 201, 125, 210]}, {\"cell\": \"3.8 ± 0.3a\", \"bbox\": [148, 200, 185, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 201, 217, 210]}, {\"cell\": \"Transferrin saturation (%)\", \"bbox\": [10, 212, 65, 231]}, {\"cell\": \"30 ± 9\", \"bbox\": [93, 212, 119, 221]}, {\"cell\": \"4 ± 1\", \"bbox\": [154, 212, 176, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 212, 216, 221]}, {\"cell\": \"Arterial blood gases\", \"bbox\": [6, 233, 72, 242]}, {\"cell\": \"PO<sub>2</sub> (mmHg)\", \"bbox\": [10, 243, 53, 253]}, {\"cell\": \"99 ± 11\", \"bbox\": [93, 243, 123, 252]}, {\"cell\": \"102 ± 3\", \"bbox\": [146, 243, 176, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 243, 218, 252]}, {\"cell\": \"PCO<sub>2</sub> (mmHg)\", \"bbox\": [10, 253, 58, 264]}, {\"cell\": \"40 ± 4\", \"bbox\": [93, 253, 119, 263]}, {\"cell\": \"34 ± 2a\", \"bbox\": [150, 252, 179, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 253, 216, 263]}, {\"cell\": \"pH (mmHg)\", \"bbox\": [10, 264, 50, 273]}, {\"cell\": \"7.38 ± 0.02\", \"bbox\": [87, 264, 129, 273]}, {\"cell\": \"7.41 ± 0.02a\", \"bbox\": [144, 263, 189, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 264, 219, 273]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5392514_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}657{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Parameter</b></td><td rowspan=\\\"2\\\"><b>Cases observed</b></td><td colspan=\\\"2\\\"><b>OS</b></td><td rowspan=\\\"2\\\"><b><i>χ</i><sup><i>2</i></sup> value</b></td><td rowspan=\\\"2\\\"><b><i>P</i></b></td></tr><tr><td><b>3-year (%)</b></td><td><b>5-year (%)</b></td></tr></thead><tbody><tr><td>Age (year)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> ≤50</td><td>90</td><td>71.5</td><td>55.5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> >50</td><td>63</td><td>39.4</td><td>22.8</td><td>13.360</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>128</td><td>57.1</td><td>42.9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>25</td><td>59.2</td><td>23.7</td><td>1.401</td><td>[EMPTY_CELL]</td></tr><tr><td>Status of LN</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Recurrence</td><td>105</td><td>59.5</td><td>43.1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Residue</td><td>48</td><td>50.9</td><td>33.9</td><td>1.642</td><td>[EMPTY_CELL]</td></tr><tr><td>rN stage</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> N1</td><td>109</td><td>67.7</td><td>47.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> N2</td><td>17</td><td>44.9</td><td>36.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> N3</td><td>27</td><td>20.7</td><td>15.6</td><td>40.152</td><td>[EMPTY_CELL]</td></tr><tr><td>Size of LN</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> ≤3 cm</td><td>80</td><td>67.5</td><td>52.4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 3~6 cm</td><td>47</td><td>58.9</td><td>34.7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> >6 cm</td><td>26</td><td>21.5</td><td>16.2</td><td>40.012</td><td>[EMPTY_CELL]</td></tr><tr><td>Bilateral of LN</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>17</td><td>44.9</td><td>36.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> NO</td><td>136</td><td>58.5</td><td>40.9</td><td>0.005</td><td>[EMPTY_CELL]</td></tr><tr><td>ECS</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>111</td><td>51.8</td><td>35.7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>42</td><td>71.3</td><td>54.8</td><td>6.189</td><td>[EMPTY_CELL]</td></tr><tr><td>Level 1 or parotid metastasis</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>27</td><td>54.8</td><td>38.4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>126</td><td>57.6</td><td>41.0</td><td>0.085</td><td>[EMPTY_CELL]</td></tr><tr><td>Surgical procedure</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> MRND</td><td>89</td><td>66.3</td><td>47.9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> RND/ERND</td><td>64</td><td>44.3</td><td>30.5</td><td>11.823</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [1, 5, 35, 14]}, {\"cell\": \"<b>Cases observed</b>\", \"bbox\": [52, 5, 101, 14]}, {\"cell\": \"<b>OS</b>\", \"bbox\": [107, 5, 118, 14]}, {\"cell\": \"<b><i>χ</i><sup><i>2</i></sup> value</b>\", \"bbox\": [185, 3, 212, 14]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [218, 5, 223, 12]}, {\"cell\": \"<b>3-year (%)</b>\", \"bbox\": [107, 18, 141, 27]}, {\"cell\": \"<b>5-year (%)</b>\", \"bbox\": [146, 18, 180, 27]}, {\"cell\": \"Age (year)\", \"bbox\": [1, 31, 35, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤50\", \"bbox\": [8, 45, 23, 54]}, {\"cell\": \"90\", \"bbox\": [52, 45, 62, 54]}, {\"cell\": \"71.5\", \"bbox\": [107, 45, 122, 54]}, {\"cell\": \"55.5\", \"bbox\": [146, 45, 161, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >50\", \"bbox\": [8, 59, 23, 68]}, {\"cell\": \"63\", \"bbox\": [52, 59, 62, 68]}, {\"cell\": \"39.4\", \"bbox\": [107, 59, 122, 68]}, {\"cell\": \"22.8\", \"bbox\": [146, 59, 161, 68]}, {\"cell\": \"13.360\", \"bbox\": [185, 59, 208, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 59, 236, 68]}, {\"cell\": \"Gender\", \"bbox\": [1, 73, 26, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male\", \"bbox\": [8, 87, 26, 96]}, {\"cell\": \"128\", \"bbox\": [52, 87, 66, 96]}, {\"cell\": \"57.1\", \"bbox\": [107, 87, 122, 96]}, {\"cell\": \"42.9\", \"bbox\": [146, 87, 161, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Female\", \"bbox\": [8, 101, 34, 110]}, {\"cell\": \"25\", \"bbox\": [52, 101, 62, 110]}, {\"cell\": \"59.2\", \"bbox\": [107, 101, 122, 110]}, {\"cell\": \"23.7\", \"bbox\": [146, 101, 161, 110]}, {\"cell\": \"1.401\", \"bbox\": [185, 101, 204, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 101, 236, 110]}, {\"cell\": \"Status of LN\", \"bbox\": [1, 115, 41, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Recurrence\", \"bbox\": [8, 129, 46, 138]}, {\"cell\": \"105\", \"bbox\": [52, 129, 66, 138]}, {\"cell\": \"59.5\", \"bbox\": [107, 129, 122, 138]}, {\"cell\": \"43.1\", \"bbox\": [146, 129, 161, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Residue\", \"bbox\": [8, 143, 35, 152]}, {\"cell\": \"48\", \"bbox\": [52, 143, 62, 152]}, {\"cell\": \"50.9\", \"bbox\": [107, 143, 122, 152]}, {\"cell\": \"33.9\", \"bbox\": [146, 143, 161, 152]}, {\"cell\": \"1.642\", \"bbox\": [185, 143, 204, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 143, 236, 152]}, {\"cell\": \"rN stage\", \"bbox\": [1, 157, 29, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" N1\", \"bbox\": [8, 171, 19, 180]}, {\"cell\": \"109\", \"bbox\": [52, 171, 66, 180]}, {\"cell\": \"67.7\", \"bbox\": [107, 171, 122, 180]}, {\"cell\": \"47.0\", \"bbox\": [146, 171, 161, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" N2\", \"bbox\": [8, 185, 19, 194]}, {\"cell\": \"17\", \"bbox\": [52, 185, 62, 194]}, {\"cell\": \"44.9\", \"bbox\": [107, 185, 122, 194]}, {\"cell\": \"36.0\", \"bbox\": [146, 185, 161, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" N3\", \"bbox\": [8, 199, 19, 208]}, {\"cell\": \"27\", \"bbox\": [52, 199, 62, 208]}, {\"cell\": \"20.7\", \"bbox\": [107, 199, 122, 208]}, {\"cell\": \"15.6\", \"bbox\": [146, 199, 161, 208]}, {\"cell\": \"40.152\", \"bbox\": [185, 199, 208, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 199, 236, 208]}, {\"cell\": \"Size of LN\", \"bbox\": [1, 213, 35, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≤3 cm\", \"bbox\": [8, 227, 32, 236]}, {\"cell\": \"80\", \"bbox\": [52, 227, 62, 236]}, {\"cell\": \"67.5\", \"bbox\": [107, 227, 122, 236]}, {\"cell\": \"52.4\", \"bbox\": [146, 227, 161, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 3~6 cm\", \"bbox\": [8, 241, 35, 250]}, {\"cell\": \"47\", \"bbox\": [52, 241, 62, 250]}, {\"cell\": \"58.9\", \"bbox\": [107, 241, 122, 250]}, {\"cell\": \"34.7\", \"bbox\": [146, 241, 161, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >6 cm\", \"bbox\": [8, 255, 31, 264]}, {\"cell\": \"26\", \"bbox\": [52, 255, 62, 264]}, {\"cell\": \"21.5\", \"bbox\": [107, 255, 122, 264]}, {\"cell\": \"16.2\", \"bbox\": [146, 255, 161, 264]}, {\"cell\": \"40.012\", \"bbox\": [185, 255, 208, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 255, 236, 264]}, {\"cell\": \"Bilateral of LN\", \"bbox\": [1, 269, 47, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 283, 21, 292]}, {\"cell\": \"17\", \"bbox\": [52, 283, 62, 292]}, {\"cell\": \"44.9\", \"bbox\": [107, 283, 122, 292]}, {\"cell\": \"36.0\", \"bbox\": [146, 283, 161, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" NO\", \"bbox\": [8, 297, 21, 306]}, {\"cell\": \"136\", \"bbox\": [52, 297, 66, 306]}, {\"cell\": \"58.5\", \"bbox\": [107, 297, 122, 306]}, {\"cell\": \"40.9\", \"bbox\": [146, 297, 161, 306]}, {\"cell\": \"0.005\", \"bbox\": [185, 297, 204, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 297, 236, 306]}, {\"cell\": \"ECS\", \"bbox\": [1, 311, 14, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 325, 21, 334]}, {\"cell\": \"111\", \"bbox\": [52, 325, 66, 334]}, {\"cell\": \"51.8\", \"bbox\": [107, 325, 122, 334]}, {\"cell\": \"35.7\", \"bbox\": [146, 325, 161, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 339, 20, 348]}, {\"cell\": \"42\", \"bbox\": [52, 339, 62, 348]}, {\"cell\": \"71.3\", \"bbox\": [107, 339, 122, 348]}, {\"cell\": \"54.8\", \"bbox\": [146, 339, 161, 348]}, {\"cell\": \"6.189\", \"bbox\": [185, 339, 204, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 339, 236, 348]}, {\"cell\": \"Level 1 or parotid metastasis\", \"bbox\": [1, 353, 35, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 385, 21, 394]}, {\"cell\": \"27\", \"bbox\": [52, 385, 62, 394]}, {\"cell\": \"54.8\", \"bbox\": [107, 385, 122, 394]}, {\"cell\": \"38.4\", \"bbox\": [146, 385, 161, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 399, 20, 408]}, {\"cell\": \"126\", \"bbox\": [52, 399, 66, 408]}, {\"cell\": \"57.6\", \"bbox\": [107, 399, 122, 408]}, {\"cell\": \"41.0\", \"bbox\": [146, 399, 161, 408]}, {\"cell\": \"0.085\", \"bbox\": [185, 399, 204, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 399, 236, 408]}, {\"cell\": \"Surgical procedure\", \"bbox\": [1, 413, 35, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" MRND\", \"bbox\": [8, 436, 31, 445]}, {\"cell\": \"89\", \"bbox\": [52, 436, 62, 445]}, {\"cell\": \"66.3\", \"bbox\": [107, 436, 122, 445]}, {\"cell\": \"47.9\", \"bbox\": [146, 436, 161, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" RND/ERND\", \"bbox\": [8, 450, 45, 459]}, {\"cell\": \"64\", \"bbox\": [52, 450, 62, 459]}, {\"cell\": \"44.3\", \"bbox\": [107, 450, 122, 459]}, {\"cell\": \"30.5\", \"bbox\": [146, 450, 161, 459]}, {\"cell\": \"11.823\", \"bbox\": [185, 450, 208, 459]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [218, 450, 236, 459]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4807573_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}658{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Type of service</b></td><td><b>Usual care (<i>n</i> = 378)</b></td><td><b>Health coaching (<i>n</i> = 206)</b></td></tr><tr><td><b>Mean (£)95% CI</b></td><td><b>Mean (£)95% CI</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>146.87 (112.25–181.48)</td><td>98.95 (64.27–133.63)</td></tr><tr><td>[EMPTY_CELL]</td><td>313.76 (190.97–436.54)</td><td>219.08 (101.92–336.24)</td></tr><tr><td>[EMPTY_CELL]</td><td>343.61 (212.29–474.93)</td><td>238.36 (166.87–309.86)</td></tr><tr><td>[EMPTY_CELL]</td><td>310.71 (203.04–418.38)</td><td>405.96 (201.93–609.99)</td></tr><tr><td>[EMPTY_CELL]</td><td>1851.42 (1605.13–2097.70)</td><td>2521.95 (2139.57–2904.32)</td></tr><tr><td>[EMPTY_CELL]</td><td>76.66 (62.69–90.63)</td><td>51.79 (39.33–64.24)</td></tr><tr><td>[EMPTY_CELL]</td><td>3043.02 (2626.02–3460.03)</td><td>3536.09 (2979.87–4092.31)</td></tr><tr><td>[EMPTY_CELL]</td><td>381.14 (350.96–411.32)</td><td>392.50 (351.72–433.28)</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>79.29 (69.59–88.99)</td></tr><tr><td>[EMPTY_CELL]</td><td>3424.16 (2999.98–3848.34)</td><td>4007.88 (3444.57–4571.18)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Type of service</b>\", \"bbox\": [1, 4, 51, 13]}, {\"cell\": \"<b>Usual care (<i>n</i> = 378)</b>\", \"bbox\": [229, 4, 294, 13]}, {\"cell\": \"<b>Health coaching (<i>n</i> = 206)</b>\", \"bbox\": [399, 4, 483, 13]}, {\"cell\": \"<b>Mean (£)95% CI</b>\", \"bbox\": [229, 17, 259, 36]}, {\"cell\": \"<b>Mean (£)95% CI</b>\", \"bbox\": [399, 17, 429, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 70, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 53, 79, 63]}, {\"cell\": \"146.87 (112.25–181.48)\", \"bbox\": [229, 53, 303, 63]}, {\"cell\": \"98.95 (64.27–133.63)\", \"bbox\": [399, 53, 465, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 67, 78, 77]}, {\"cell\": \"313.76 (190.97–436.54)\", \"bbox\": [229, 67, 303, 77]}, {\"cell\": \"219.08 (101.92–336.24)\", \"bbox\": [399, 67, 473, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 81, 39, 91]}, {\"cell\": \"343.61 (212.29–474.93)\", \"bbox\": [229, 81, 303, 91]}, {\"cell\": \"238.36 (166.87–309.86)\", \"bbox\": [399, 81, 473, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 95, 69, 105]}, {\"cell\": \"310.71 (203.04–418.38)\", \"bbox\": [229, 95, 303, 105]}, {\"cell\": \"405.96 (201.93–609.99)\", \"bbox\": [399, 95, 473, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 109, 89, 119]}, {\"cell\": \"1851.42 (1605.13–2097.70)\", \"bbox\": [229, 109, 314, 119]}, {\"cell\": \"2521.95 (2139.57–2904.32)\", \"bbox\": [399, 109, 484, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 123, 62, 133]}, {\"cell\": \"76.66 (62.69–90.63)\", \"bbox\": [229, 123, 291, 133]}, {\"cell\": \"51.79 (39.33–64.24)\", \"bbox\": [399, 123, 462, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 137, 144, 147]}, {\"cell\": \"3043.02 (2626.02–3460.03)\", \"bbox\": [229, 137, 314, 147]}, {\"cell\": \"3536.09 (2979.87–4092.31)\", \"bbox\": [399, 137, 484, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 151, 58, 161]}, {\"cell\": \"381.14 (350.96–411.32)\", \"bbox\": [229, 151, 303, 161]}, {\"cell\": \"392.50 (351.72–433.28)\", \"bbox\": [399, 151, 473, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 165, 73, 175]}, {\"cell\": \"–\", \"bbox\": [229, 169, 235, 173]}, {\"cell\": \"79.29 (69.59–88.99)\", \"bbox\": [399, 165, 462, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 52, 189]}, {\"cell\": \"3424.16 (2999.98–3848.34)\", \"bbox\": [229, 179, 314, 189]}, {\"cell\": \"4007.88 (3444.57–4571.18)\", \"bbox\": [399, 179, 484, 189]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5975389_009_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}659{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Flux, mg/kg per hour</b></td><td colspan=\\\"4\\\"><b>Rate Constants, pools/hour</b></td></tr><tr><td><b>Participants</b></td><td><b>TCE</b></td><td><b>Flux 1</b></td><td><b>Flux 3</b></td><td><b>Flux 2</b></td><td><b>k(0,1)</b></td><td><b>k(0,3)</b></td><td><b>k(1,2)</b></td><td><b>k(2,1)</b></td></tr></thead><tbody><tr><td>435</td><td>3.73</td><td>3.07</td><td>0.67</td><td>[EMPTY_CELL]</td><td>0.047</td><td>0.016</td><td>0.080</td><td>0.015</td></tr><tr><td>442</td><td>4.68</td><td>3.86</td><td>0.82</td><td>[EMPTY_CELL]</td><td>0.064</td><td>0.022</td><td>0.163</td><td>0.056</td></tr><tr><td>454</td><td>3.72</td><td>2.89</td><td>0.83</td><td>[EMPTY_CELL]</td><td>0.047</td><td>0.017</td><td>0.126</td><td>0.040</td></tr><tr><td>458</td><td>3.46</td><td>2.75</td><td>0.71</td><td>[EMPTY_CELL]</td><td>0.054</td><td>0.019</td><td>0.155</td><td>0.061</td></tr><tr><td>459</td><td>3.30</td><td>2.69</td><td>0.60</td><td>[EMPTY_CELL]</td><td>0.050</td><td>0.019</td><td>0.139</td><td>0.052</td></tr><tr><td>58</td><td>5.29</td><td>4.15</td><td>1.14</td><td>[EMPTY_CELL]</td><td>0.083</td><td>0.022</td><td>0.226</td><td>0.082</td></tr><tr><td>63</td><td>4.21</td><td>3.24</td><td>0.97</td><td>[EMPTY_CELL]</td><td>0.068</td><td>0.020</td><td>0.069</td><td>0.024</td></tr><tr><td>64</td><td>2.40</td><td>1.34</td><td>1.06</td><td>[EMPTY_CELL]</td><td>0.016</td><td>0.019</td><td>0.127</td><td>0.021</td></tr><tr><td>61</td><td>3.80</td><td>2.73</td><td>1.07</td><td>[EMPTY_CELL]</td><td>0.054</td><td>0.019</td><td>0.077</td><td>0.040</td></tr><tr><td>65</td><td>5.31</td><td>3.95</td><td>1.36</td><td>[EMPTY_CELL]</td><td>0.058</td><td>0.019</td><td>0.076</td><td>0.029</td></tr><tr><td>66</td><td>4.35</td><td>2.30</td><td>2.05</td><td>[EMPTY_CELL]</td><td>0.047</td><td>0.032</td><td>0.108</td><td>0.034</td></tr><tr><td>69</td><td>3.92</td><td>2.98</td><td>0.94</td><td>[EMPTY_CELL]</td><td>0.069</td><td>0.018</td><td>0.077</td><td>0.041</td></tr><tr><td>70</td><td>2.79</td><td>1.68</td><td>1.11</td><td>[EMPTY_CELL]</td><td>0.045</td><td>0.023</td><td>0.077</td><td>0.071</td></tr><tr><td>71</td><td>3.26</td><td>2.29</td><td>0.97</td><td>[EMPTY_CELL]</td><td>0.077</td><td>0.015</td><td>0.078</td><td>0.105</td></tr><tr><td>72</td><td>2.80</td><td>1.01</td><td>1.79</td><td>[EMPTY_CELL]</td><td>0.040</td><td>0.024</td><td>0.081</td><td>0.063</td></tr><tr><td>73</td><td>2.70</td><td>1.33</td><td>1.42</td><td>[EMPTY_CELL]</td><td>0.042</td><td>0.018</td><td>0.087</td><td>0.075</td></tr><tr><td>75</td><td>4.69</td><td>3.53</td><td>1.16</td><td>[EMPTY_CELL]</td><td>0.047</td><td>0.019</td><td>0.102</td><td>0.032</td></tr><tr><td>Mean</td><td>3.79</td><td>2.69</td><td>1.10</td><td>[EMPTY_CELL]</td><td>0.053</td><td>0.0200</td><td>0.109</td><td>0.049</td></tr><tr><td>SD</td><td>0.88</td><td>0.94</td><td>0.38</td><td>[EMPTY_CELL]</td><td>0.016</td><td>0.0038</td><td>0.043</td><td>0.024</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Flux, mg/kg per hour</b>\", \"bbox\": [136, 8, 199, 16]}, {\"cell\": \"<b>Rate Constants, pools/hour</b>\", \"bbox\": [310, 8, 391, 16]}, {\"cell\": \"<b>Participants</b>\", \"bbox\": [7, 23, 43, 31]}, {\"cell\": \"<b>TCE</b>\", \"bbox\": [81, 23, 94, 31]}, {\"cell\": \"<b>Flux 1</b>\", \"bbox\": [136, 23, 155, 31]}, {\"cell\": \"<b>Flux 3</b>\", \"bbox\": [194, 23, 214, 31]}, {\"cell\": \"<b>Flux 2</b>\", \"bbox\": [252, 23, 272, 31]}, {\"cell\": \"<b>k(0,1)</b>\", \"bbox\": [310, 23, 328, 31]}, {\"cell\": \"<b>k(0,3)</b>\", \"bbox\": [369, 23, 387, 31]}, {\"cell\": \"<b>k(1,2)</b>\", \"bbox\": [432, 23, 450, 31]}, {\"cell\": \"<b>k(2,1)</b>\", \"bbox\": [491, 23, 509, 31]}, {\"cell\": \"435\", \"bbox\": [7, 36, 22, 44]}, {\"cell\": \"3.73\", \"bbox\": [81, 36, 97, 44]}, {\"cell\": \"3.07\", \"bbox\": [136, 36, 152, 44]}, {\"cell\": \"0.67\", \"bbox\": [194, 36, 210, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 36, 268, 44]}, {\"cell\": \"0.047\", \"bbox\": [310, 36, 330, 44]}, {\"cell\": \"0.016\", \"bbox\": [369, 36, 389, 44]}, {\"cell\": \"0.080\", \"bbox\": [432, 36, 452, 44]}, {\"cell\": \"0.015\", \"bbox\": [491, 36, 511, 44]}, {\"cell\": \"442\", \"bbox\": [7, 51, 22, 59]}, {\"cell\": \"4.68\", \"bbox\": [81, 51, 97, 59]}, {\"cell\": \"3.86\", \"bbox\": [136, 51, 152, 59]}, {\"cell\": \"0.82\", \"bbox\": [194, 51, 210, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 51, 268, 59]}, {\"cell\": \"0.064\", \"bbox\": [310, 51, 330, 59]}, {\"cell\": \"0.022\", \"bbox\": [369, 51, 389, 59]}, {\"cell\": \"0.163\", \"bbox\": [432, 51, 452, 59]}, {\"cell\": \"0.056\", \"bbox\": [491, 51, 511, 59]}, {\"cell\": \"454\", \"bbox\": [7, 66, 22, 74]}, {\"cell\": \"3.72\", \"bbox\": [81, 66, 97, 74]}, {\"cell\": \"2.89\", \"bbox\": [136, 66, 152, 74]}, {\"cell\": \"0.83\", \"bbox\": [194, 66, 210, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 66, 268, 74]}, {\"cell\": \"0.047\", \"bbox\": [310, 66, 330, 74]}, {\"cell\": \"0.017\", \"bbox\": [369, 66, 389, 74]}, {\"cell\": \"0.126\", \"bbox\": [432, 66, 452, 74]}, {\"cell\": \"0.040\", \"bbox\": [491, 66, 511, 74]}, {\"cell\": \"458\", \"bbox\": [7, 80, 22, 89]}, {\"cell\": \"3.46\", \"bbox\": [81, 80, 97, 89]}, {\"cell\": \"2.75\", \"bbox\": [136, 80, 152, 89]}, {\"cell\": \"0.71\", \"bbox\": [194, 80, 210, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 80, 268, 89]}, {\"cell\": \"0.054\", \"bbox\": [310, 80, 330, 89]}, {\"cell\": \"0.019\", \"bbox\": [369, 80, 389, 89]}, {\"cell\": \"0.155\", \"bbox\": [432, 80, 452, 89]}, {\"cell\": \"0.061\", \"bbox\": [491, 80, 511, 89]}, {\"cell\": \"459\", \"bbox\": [7, 95, 22, 104]}, {\"cell\": \"3.30\", \"bbox\": [81, 95, 97, 104]}, {\"cell\": \"2.69\", \"bbox\": [136, 95, 152, 104]}, {\"cell\": \"0.60\", \"bbox\": [194, 95, 210, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 95, 268, 104]}, {\"cell\": \"0.050\", \"bbox\": [310, 95, 330, 104]}, {\"cell\": \"0.019\", \"bbox\": [369, 95, 389, 104]}, {\"cell\": \"0.139\", \"bbox\": [432, 95, 452, 104]}, {\"cell\": \"0.052\", \"bbox\": [491, 95, 511, 104]}, {\"cell\": \"58\", \"bbox\": [7, 110, 18, 118]}, {\"cell\": \"5.29\", \"bbox\": [81, 110, 97, 118]}, {\"cell\": \"4.15\", \"bbox\": [136, 110, 152, 118]}, {\"cell\": \"1.14\", \"bbox\": [194, 110, 210, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 110, 268, 118]}, {\"cell\": \"0.083\", \"bbox\": [310, 110, 330, 118]}, {\"cell\": \"0.022\", \"bbox\": [369, 110, 389, 118]}, {\"cell\": \"0.226\", \"bbox\": [432, 110, 452, 118]}, {\"cell\": \"0.082\", \"bbox\": [491, 110, 511, 118]}, {\"cell\": \"63\", \"bbox\": [7, 125, 18, 133]}, {\"cell\": \"4.21\", \"bbox\": [81, 125, 97, 133]}, {\"cell\": \"3.24\", \"bbox\": [136, 125, 152, 133]}, {\"cell\": \"0.97\", \"bbox\": [194, 125, 210, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 125, 268, 133]}, {\"cell\": \"0.068\", \"bbox\": [310, 125, 330, 133]}, {\"cell\": \"0.020\", \"bbox\": [369, 125, 389, 133]}, {\"cell\": \"0.069\", \"bbox\": [432, 125, 452, 133]}, {\"cell\": \"0.024\", \"bbox\": [491, 125, 511, 133]}, {\"cell\": \"64\", \"bbox\": [7, 140, 18, 148]}, {\"cell\": \"2.40\", \"bbox\": [81, 140, 97, 148]}, {\"cell\": \"1.34\", \"bbox\": [136, 140, 152, 148]}, {\"cell\": \"1.06\", \"bbox\": [194, 140, 210, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 140, 268, 148]}, {\"cell\": \"0.016\", \"bbox\": [310, 140, 330, 148]}, {\"cell\": \"0.019\", \"bbox\": [369, 140, 389, 148]}, {\"cell\": \"0.127\", \"bbox\": [432, 140, 452, 148]}, {\"cell\": \"0.021\", \"bbox\": [491, 140, 511, 148]}, {\"cell\": \"61\", \"bbox\": [7, 154, 18, 163]}, {\"cell\": \"3.80\", \"bbox\": [81, 154, 97, 163]}, {\"cell\": \"2.73\", \"bbox\": [136, 154, 152, 163]}, {\"cell\": \"1.07\", \"bbox\": [194, 154, 210, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 154, 268, 163]}, {\"cell\": \"0.054\", \"bbox\": [310, 154, 330, 163]}, {\"cell\": \"0.019\", \"bbox\": [369, 154, 389, 163]}, {\"cell\": \"0.077\", \"bbox\": [432, 154, 452, 163]}, {\"cell\": \"0.040\", \"bbox\": [491, 154, 511, 163]}, {\"cell\": \"65\", \"bbox\": [7, 169, 18, 178]}, {\"cell\": \"5.31\", \"bbox\": [81, 169, 97, 178]}, {\"cell\": \"3.95\", \"bbox\": [136, 169, 152, 178]}, {\"cell\": \"1.36\", \"bbox\": [194, 169, 210, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 169, 268, 178]}, {\"cell\": \"0.058\", \"bbox\": [310, 169, 330, 178]}, {\"cell\": \"0.019\", \"bbox\": [369, 169, 389, 178]}, {\"cell\": \"0.076\", \"bbox\": [432, 169, 452, 178]}, {\"cell\": \"0.029\", \"bbox\": [491, 169, 511, 178]}, {\"cell\": \"66\", \"bbox\": [7, 184, 18, 192]}, {\"cell\": \"4.35\", \"bbox\": [81, 184, 97, 192]}, {\"cell\": \"2.30\", \"bbox\": [136, 184, 152, 192]}, {\"cell\": \"2.05\", \"bbox\": [194, 184, 210, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 184, 268, 192]}, {\"cell\": \"0.047\", \"bbox\": [310, 184, 330, 192]}, {\"cell\": \"0.032\", \"bbox\": [369, 184, 389, 192]}, {\"cell\": \"0.108\", \"bbox\": [432, 184, 452, 192]}, {\"cell\": \"0.034\", \"bbox\": [491, 184, 511, 192]}, {\"cell\": \"69\", \"bbox\": [7, 199, 18, 207]}, {\"cell\": \"3.92\", \"bbox\": [81, 199, 97, 207]}, {\"cell\": \"2.98\", \"bbox\": [136, 199, 152, 207]}, {\"cell\": \"0.94\", \"bbox\": [194, 199, 210, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 199, 268, 207]}, {\"cell\": \"0.069\", \"bbox\": [310, 199, 330, 207]}, {\"cell\": \"0.018\", \"bbox\": [369, 199, 389, 207]}, {\"cell\": \"0.077\", \"bbox\": [432, 199, 452, 207]}, {\"cell\": \"0.041\", \"bbox\": [491, 199, 511, 207]}, {\"cell\": \"70\", \"bbox\": [7, 214, 18, 222]}, {\"cell\": \"2.79\", \"bbox\": [81, 214, 97, 222]}, {\"cell\": \"1.68\", \"bbox\": [136, 214, 152, 222]}, {\"cell\": \"1.11\", \"bbox\": [194, 214, 210, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 214, 268, 222]}, {\"cell\": \"0.045\", \"bbox\": [310, 214, 330, 222]}, {\"cell\": \"0.023\", \"bbox\": [369, 214, 389, 222]}, {\"cell\": \"0.077\", \"bbox\": [432, 214, 452, 222]}, {\"cell\": \"0.071\", \"bbox\": [491, 214, 511, 222]}, {\"cell\": \"71\", \"bbox\": [7, 229, 18, 237]}, {\"cell\": \"3.26\", \"bbox\": [81, 229, 97, 237]}, {\"cell\": \"2.29\", \"bbox\": [136, 229, 152, 237]}, {\"cell\": \"0.97\", \"bbox\": [194, 229, 210, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 229, 268, 237]}, {\"cell\": \"0.077\", \"bbox\": [310, 229, 330, 237]}, {\"cell\": \"0.015\", \"bbox\": [369, 229, 389, 237]}, {\"cell\": \"0.078\", \"bbox\": [432, 229, 452, 237]}, {\"cell\": \"0.105\", \"bbox\": [491, 229, 511, 237]}, {\"cell\": \"72\", \"bbox\": [7, 243, 18, 252]}, {\"cell\": \"2.80\", \"bbox\": [81, 243, 97, 252]}, {\"cell\": \"1.01\", \"bbox\": [136, 243, 152, 252]}, {\"cell\": \"1.79\", \"bbox\": [194, 243, 210, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 243, 268, 252]}, {\"cell\": \"0.040\", \"bbox\": [310, 243, 330, 252]}, {\"cell\": \"0.024\", \"bbox\": [369, 243, 389, 252]}, {\"cell\": \"0.081\", \"bbox\": [432, 243, 452, 252]}, {\"cell\": \"0.063\", \"bbox\": [491, 243, 511, 252]}, {\"cell\": \"73\", \"bbox\": [7, 258, 18, 266]}, {\"cell\": \"2.70\", \"bbox\": [81, 258, 97, 266]}, {\"cell\": \"1.33\", \"bbox\": [136, 258, 152, 266]}, {\"cell\": \"1.42\", \"bbox\": [194, 258, 210, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 258, 268, 266]}, {\"cell\": \"0.042\", \"bbox\": [310, 258, 330, 266]}, {\"cell\": \"0.018\", \"bbox\": [369, 258, 389, 266]}, {\"cell\": \"0.087\", \"bbox\": [432, 258, 452, 266]}, {\"cell\": \"0.075\", \"bbox\": [491, 258, 511, 266]}, {\"cell\": \"75\", \"bbox\": [7, 273, 18, 281]}, {\"cell\": \"4.69\", \"bbox\": [81, 273, 97, 281]}, {\"cell\": \"3.53\", \"bbox\": [136, 273, 152, 281]}, {\"cell\": \"1.16\", \"bbox\": [194, 273, 210, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 273, 268, 281]}, {\"cell\": \"0.047\", \"bbox\": [310, 273, 330, 281]}, {\"cell\": \"0.019\", \"bbox\": [369, 273, 389, 281]}, {\"cell\": \"0.102\", \"bbox\": [432, 273, 452, 281]}, {\"cell\": \"0.032\", \"bbox\": [491, 273, 511, 281]}, {\"cell\": \"Mean\", \"bbox\": [7, 288, 27, 296]}, {\"cell\": \"3.79\", \"bbox\": [81, 288, 97, 296]}, {\"cell\": \"2.69\", \"bbox\": [136, 288, 152, 296]}, {\"cell\": \"1.10\", \"bbox\": [194, 288, 210, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 288, 268, 296]}, {\"cell\": \"0.053\", \"bbox\": [310, 288, 330, 296]}, {\"cell\": \"0.0200\", \"bbox\": [369, 288, 393, 296]}, {\"cell\": \"0.109\", \"bbox\": [432, 288, 452, 296]}, {\"cell\": \"0.049\", \"bbox\": [491, 288, 511, 296]}, {\"cell\": \"SD\", \"bbox\": [7, 303, 18, 311]}, {\"cell\": \"0.88\", \"bbox\": [81, 303, 97, 311]}, {\"cell\": \"0.94\", \"bbox\": [136, 303, 152, 311]}, {\"cell\": \"0.38\", \"bbox\": [194, 303, 210, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [252, 303, 268, 311]}, {\"cell\": \"0.016\", \"bbox\": [310, 303, 330, 311]}, {\"cell\": \"0.0038\", \"bbox\": [369, 303, 393, 311]}, {\"cell\": \"0.043\", \"bbox\": [432, 303, 452, 311]}, {\"cell\": \"0.024\", \"bbox\": [491, 303, 511, 311]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3487360_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}660{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Acute bacterialmeningitis (n=37)</b></td><td><b>Cerebral malaria (n=22)</b></td><td><b>P</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>35 (9 – 90)</td><td>30.5 (13 – 37)</td><td>0.61</td></tr><tr><td>[EMPTY_CELL]</td><td>21 (56.8)</td><td>8 (36.4)</td><td>0.1</td></tr><tr><td>[EMPTY_CELL]</td><td>0 (0 – 0)</td><td>230000 (100800 – 393600)</td><td>0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td> 3370 (288 – 5120)</td><td> 2 (1 – 4)</td><td> 0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>2.1 (1.3 – 2.49)</td><td>0.28 (0.22 – 0.37)</td><td>0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>5.4 (4 – 7.6)</td><td>5.3 (3.2 – 7.7)</td><td>0.9</td></tr><tr><td>[EMPTY_CELL]</td><td>0.6 (0.3 – 0.9)</td><td>3.1 (2.6 – 3.7)</td><td>0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>0.1 (0.06 – 0.16)</td><td>0.69 (0.42 – 1)</td><td>0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>13 (35)</td><td>0</td><td>0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>13.95 (11.5 – 15.4)</td><td>13.95 (13.3 – 15.2)</td><td>0.3</td></tr><tr><td>[EMPTY_CELL]</td><td>9 (24)</td><td>10(46)</td><td>0.1</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [5, 4, 60, 13]}, {\"cell\": \"<b>Acute bacterialmeningitis (n=37)</b>\", \"bbox\": [128, 4, 196, 22]}, {\"cell\": \"<b>Cerebral malaria (n=22)</b>\", \"bbox\": [207, 4, 298, 13]}, {\"cell\": \"<b>P</b>\", \"bbox\": [313, 4, 320, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 25, 52, 35]}, {\"cell\": \"35 (9 – 90)\", \"bbox\": [128, 25, 168, 35]}, {\"cell\": \"30.5 (13 – 37)\", \"bbox\": [207, 25, 259, 35]}, {\"cell\": \"0.61\", \"bbox\": [313, 25, 330, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 38, 65, 47]}, {\"cell\": \"21 (56.8)\", \"bbox\": [128, 38, 162, 47]}, {\"cell\": \"8 (36.4)\", \"bbox\": [207, 38, 237, 47]}, {\"cell\": \"0.1\", \"bbox\": [313, 38, 326, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 50, 120, 59]}, {\"cell\": \"0 (0 – 0)\", \"bbox\": [128, 50, 160, 59]}, {\"cell\": \"230000 (100800 – 393600)\", \"bbox\": [207, 50, 305, 59]}, {\"cell\": \"0.0001\", \"bbox\": [313, 50, 339, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 63, 97, 73]}, {\"cell\": \" 3370 (288 – 5120)\", \"bbox\": [128, 63, 195, 73]}, {\"cell\": \" 2 (1 – 4)\", \"bbox\": [207, 63, 239, 73]}, {\"cell\": \" 0.0001\", \"bbox\": [313, 63, 339, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 77, 95, 87]}, {\"cell\": \"2.1 (1.3 – 2.49)\", \"bbox\": [128, 77, 184, 87]}, {\"cell\": \"0.28 (0.22 – 0.37)\", \"bbox\": [207, 77, 272, 87]}, {\"cell\": \"0.0001\", \"bbox\": [313, 77, 339, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 89, 86, 99]}, {\"cell\": \"5.4 (4 – 7.6)\", \"bbox\": [128, 89, 173, 99]}, {\"cell\": \"5.3 (3.2 – 7.7)\", \"bbox\": [207, 89, 259, 99]}, {\"cell\": \"0.9\", \"bbox\": [313, 89, 326, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 102, 80, 111]}, {\"cell\": \"0.6 (0.3 – 0.9)\", \"bbox\": [128, 102, 180, 111]}, {\"cell\": \"3.1 (2.6 – 3.7)\", \"bbox\": [207, 102, 259, 111]}, {\"cell\": \"0.0001\", \"bbox\": [313, 102, 339, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 114, 113, 124]}, {\"cell\": \"0.1 (0.06 – 0.16)\", \"bbox\": [128, 114, 189, 124]}, {\"cell\": \"0.69 (0.42 – 1)\", \"bbox\": [207, 114, 261, 124]}, {\"cell\": \"0.0001\", \"bbox\": [313, 114, 339, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 127, 86, 136]}, {\"cell\": \"13 (35)\", \"bbox\": [128, 127, 156, 136]}, {\"cell\": \"0\", \"bbox\": [207, 127, 214, 136]}, {\"cell\": \"0.001\", \"bbox\": [313, 127, 335, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 139, 46, 149]}, {\"cell\": \"13.95 (11.5 – 15.4)\", \"bbox\": [128, 139, 197, 149]}, {\"cell\": \"13.95 (13.3 – 15.2)\", \"bbox\": [207, 139, 276, 149]}, {\"cell\": \"0.3\", \"bbox\": [313, 139, 326, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 151, 61, 161]}, {\"cell\": \"9 (24)\", \"bbox\": [128, 151, 151, 161]}, {\"cell\": \"10(46)\", \"bbox\": [207, 151, 232, 161]}, {\"cell\": \"0.1\", \"bbox\": [313, 151, 326, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5686508_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}661{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Time</b></td><td colspan=\\\"7\\\"><b>Sciatic function index (SFI) </b></td></tr><tr><td><b>Control</b></td><td><b>DM + CCI + vehicle</b></td><td><b>DM + CCI + GABApentin (50 mg·kg<sup>−1</sup> BW)</b></td><td><b>DM + CCI + ascorbic acid (100 mg·kg<sup>−1</sup> BW)</b></td><td><b>DM + CCI + PWCG (100 mg·kg<sup>−1</sup> BW)</b></td><td><b>DM + CCI + PWCG (200 mg·kg<sup>−1</sup> BW)</b></td><td><b>DM + CCI + PWCG (300 mg·kg<sup>−1</sup> BW)</b></td></tr></thead><tbody><tr><td>Baseline</td><td>−9.29 ± 3.51</td><td>−10.49 ± 3.80</td><td>−7.40 ± 4.56</td><td>−8.25 ± 1.82</td><td>−8.65 ± 2.95</td><td>[EMPTY_CELL]</td><td>−7.59 ± 6.86</td></tr><tr><td>Day 1</td><td>−7.98 ± 1.35</td><td>−91.72 ± 1.58<sup>###</sup></td><td>−84.36 ± 7.12</td><td>−87.93 ± 2.04</td><td>−85.03 ± 2.45</td><td>[EMPTY_CELL]</td><td>−88.86 ± 2.21</td></tr><tr><td>Day 3</td><td>−7.86 ± 2.00</td><td>−91.94 ± 1.36<sup>###</sup></td><td>−90.59 ± 1.75</td><td>−86.28 ± 1.93</td><td>−89.02 ± 2.09</td><td>[EMPTY_CELL]</td><td>−80.81 ± 3.79<sup>∗</sup></td></tr><tr><td>Day 6</td><td>−7.74 ± 1.73</td><td>−91.82 ± 1.48<sup>###</sup></td><td>−89.86 ± 2.28</td><td>−86.28 ± 1.93</td><td>−83.69 ± 1.82<sup>∗∗</sup></td><td>[EMPTY_CELL]</td><td>−84.93 ± 2.31<sup>∗</sup></td></tr><tr><td>Day 9</td><td>−9.98 ± 1.89</td><td>−91.53 ± 1.77<sup>###</sup></td><td>−91.72 ± 1.58</td><td>−86.73 ± 1.79<sup>∗</sup></td><td>−86.54 ± 2.22<sup>∗</sup></td><td>[EMPTY_CELL]</td><td>−83.54 ± 1.71<sup>∗∗∗</sup></td></tr><tr><td>Day 12</td><td>−9.78 ± 2.40</td><td>−92.19 ± 1.11<sup>###</sup></td><td>−90.24 ± 2.05</td><td>−84.32 ± 1.79<sup>∗∗</sup></td><td>−84.01 ± 2.17<sup>∗∗</sup></td><td>[EMPTY_CELL]</td><td>−86.38 ± 1.94<sup>∗</sup></td></tr><tr><td>Day 15</td><td>−6.75 ± 2.54</td><td>−91.53 ± 1.77<sup>###</sup></td><td>−91.89 ± 1.41</td><td>−85.50 ± 1.57</td><td>−89.65 ± 5.21</td><td>[EMPTY_CELL]</td><td>−85.52 ± 1.76</td></tr><tr><td>Day 18</td><td>−7.19 ± 1.37</td><td>−91.69 ± 1.61<sup>###</sup></td><td>−90.88 ± 2.42</td><td>−82.42 ± 9.04</td><td>−93.91 ± 5.52</td><td>[EMPTY_CELL]</td><td>−88.24 ± 2.00</td></tr><tr><td>Day 21</td><td>−7.48 ± 1.75</td><td>−91.53 ± 1.77<sup>###</sup></td><td>−89.15 ± 2.74</td><td>−81.45 ± 10.32</td><td>−89.85 ± 3.63</td><td>[EMPTY_CELL]</td><td>−87.57 ± 1.88</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Time</b>\", \"bbox\": [2, 19, 23, 30]}, {\"cell\": \"<b>Sciatic function index (SFI) </b>\", \"bbox\": [218, 4, 319, 15]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [46, 27, 76, 37]}, {\"cell\": \"<b>DM + CCI + vehicle</b>\", \"bbox\": [98, 22, 146, 43]}, {\"cell\": \"<b>DM + CCI + GABApentin (50 mg·kg<sup>−1</sup> BW)</b>\", \"bbox\": [157, 16, 220, 49]}, {\"cell\": \"<b>DM + CCI + ascorbic acid (100 mg·kg<sup>−1</sup> BW)</b>\", \"bbox\": [224, 16, 290, 49]}, {\"cell\": \"<b>DM + CCI + PWCG (100 mg·kg<sup>−1</sup> BW)</b>\", \"bbox\": [293, 16, 359, 49]}, {\"cell\": \"<b>DM + CCI + PWCG (200 mg·kg<sup>−1</sup> BW)</b>\", \"bbox\": [361, 16, 429, 49]}, {\"cell\": \"<b>DM + CCI + PWCG (300 mg·kg<sup>−1</sup> BW)</b>\", \"bbox\": [433, 16, 500, 49]}, {\"cell\": \"Baseline\", \"bbox\": [2, 50, 34, 61]}, {\"cell\": \"−9.29 ± 3.51\", \"bbox\": [37, 48, 84, 63]}, {\"cell\": \"−10.49 ± 3.80\", \"bbox\": [97, 48, 147, 63]}, {\"cell\": \"−7.40 ± 4.56\", \"bbox\": [165, 48, 211, 63]}, {\"cell\": \"−8.25 ± 1.82\", \"bbox\": [234, 48, 280, 63]}, {\"cell\": \"−8.65 ± 2.95\", \"bbox\": [302, 48, 349, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 48, 420, 63]}, {\"cell\": \"−7.59 ± 6.86\", \"bbox\": [443, 48, 490, 63]}, {\"cell\": \"Day 1\", \"bbox\": [2, 63, 24, 74]}, {\"cell\": \"−7.98 ± 1.35\", \"bbox\": [37, 61, 84, 76]}, {\"cell\": \"−91.72 ± 1.58<sup>###</sup>\", \"bbox\": [92, 61, 151, 76]}, {\"cell\": \"−84.36 ± 7.12\", \"bbox\": [163, 61, 214, 76]}, {\"cell\": \"−87.93 ± 2.04\", \"bbox\": [232, 61, 282, 76]}, {\"cell\": \"−85.03 ± 2.45\", \"bbox\": [300, 61, 351, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 61, 420, 76]}, {\"cell\": \"−88.86 ± 2.21\", \"bbox\": [441, 61, 492, 76]}, {\"cell\": \"Day 3\", \"bbox\": [2, 77, 25, 87]}, {\"cell\": \"−7.86 ± 2.00\", \"bbox\": [37, 74, 84, 90]}, {\"cell\": \"−91.94 ± 1.36<sup>###</sup>\", \"bbox\": [92, 74, 151, 90]}, {\"cell\": \"−90.59 ± 1.75\", \"bbox\": [163, 74, 214, 90]}, {\"cell\": \"−86.28 ± 1.93\", \"bbox\": [232, 74, 282, 90]}, {\"cell\": \"−89.02 ± 2.09\", \"bbox\": [300, 74, 351, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 74, 420, 90]}, {\"cell\": \"−80.81 ± 3.79<sup>∗</sup>\", \"bbox\": [439, 73, 494, 90]}, {\"cell\": \"Day 6\", \"bbox\": [2, 90, 26, 101]}, {\"cell\": \"−7.74 ± 1.73\", \"bbox\": [37, 87, 84, 103]}, {\"cell\": \"−91.82 ± 1.48<sup>###</sup>\", \"bbox\": [92, 87, 151, 103]}, {\"cell\": \"−89.86 ± 2.28\", \"bbox\": [163, 87, 214, 103]}, {\"cell\": \"−86.28 ± 1.93\", \"bbox\": [232, 87, 282, 103]}, {\"cell\": \"−83.69 ± 1.82<sup>∗∗</sup>\", \"bbox\": [296, 87, 354, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 87, 424, 103]}, {\"cell\": \"−84.93 ± 2.31<sup>∗</sup>\", \"bbox\": [439, 87, 494, 103]}, {\"cell\": \"Day 9\", \"bbox\": [2, 103, 25, 114]}, {\"cell\": \"−9.98 ± 1.89\", \"bbox\": [37, 101, 84, 116]}, {\"cell\": \"−91.53 ± 1.77<sup>###</sup>\", \"bbox\": [92, 101, 151, 116]}, {\"cell\": \"−91.72 ± 1.58\", \"bbox\": [163, 101, 214, 116]}, {\"cell\": \"−86.73 ± 1.79<sup>∗</sup>\", \"bbox\": [229, 100, 284, 116]}, {\"cell\": \"−86.54 ± 2.22<sup>∗</sup>\", \"bbox\": [298, 100, 353, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 100, 424, 116]}, {\"cell\": \"−83.54 ± 1.71<sup>∗∗∗</sup>\", \"bbox\": [436, 100, 497, 116]}, {\"cell\": \"Day 12\", \"bbox\": [2, 116, 28, 127]}, {\"cell\": \"−9.78 ± 2.40\", \"bbox\": [37, 114, 84, 129]}, {\"cell\": \"−92.19 ± 1.11<sup>###</sup>\", \"bbox\": [92, 114, 151, 129]}, {\"cell\": \"−90.24 ± 2.05\", \"bbox\": [163, 114, 214, 129]}, {\"cell\": \"−84.32 ± 1.79<sup>∗∗</sup>\", \"bbox\": [228, 113, 286, 129]}, {\"cell\": \"−84.01 ± 2.17<sup>∗∗</sup>\", \"bbox\": [296, 113, 354, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [367, 113, 422, 129]}, {\"cell\": \"−86.38 ± 1.94<sup>∗</sup>\", \"bbox\": [439, 113, 494, 129]}, {\"cell\": \"Day 15\", \"bbox\": [2, 130, 28, 140]}, {\"cell\": \"−6.75 ± 2.54\", \"bbox\": [37, 127, 84, 143]}, {\"cell\": \"−91.53 ± 1.77<sup>###</sup>\", \"bbox\": [92, 127, 151, 143]}, {\"cell\": \"−91.89 ± 1.41\", \"bbox\": [163, 127, 214, 143]}, {\"cell\": \"−85.50 ± 1.57\", \"bbox\": [232, 127, 282, 143]}, {\"cell\": \"−89.65 ± 5.21\", \"bbox\": [300, 127, 351, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 127, 420, 143]}, {\"cell\": \"−85.52 ± 1.76\", \"bbox\": [441, 127, 492, 143]}, {\"cell\": \"Day 18\", \"bbox\": [2, 143, 28, 154]}, {\"cell\": \"−7.19 ± 1.37\", \"bbox\": [37, 140, 84, 156]}, {\"cell\": \"−91.69 ± 1.61<sup>###</sup>\", \"bbox\": [92, 140, 151, 156]}, {\"cell\": \"−90.88 ± 2.42\", \"bbox\": [163, 140, 214, 156]}, {\"cell\": \"−82.42 ± 9.04\", \"bbox\": [232, 140, 282, 156]}, {\"cell\": \"−93.91 ± 5.52\", \"bbox\": [300, 140, 351, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 140, 420, 156]}, {\"cell\": \"−88.24 ± 2.00\", \"bbox\": [441, 140, 492, 156]}, {\"cell\": \"Day 21\", \"bbox\": [2, 156, 28, 167]}, {\"cell\": \"−7.48 ± 1.75\", \"bbox\": [37, 154, 84, 169]}, {\"cell\": \"−91.53 ± 1.77<sup>###</sup>\", \"bbox\": [92, 154, 151, 169]}, {\"cell\": \"−89.15 ± 2.74\", \"bbox\": [163, 154, 214, 169]}, {\"cell\": \"−81.45 ± 10.32\", \"bbox\": [229, 154, 284, 169]}, {\"cell\": \"−89.85 ± 3.63\", \"bbox\": [300, 154, 351, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [370, 154, 420, 169]}, {\"cell\": \"−87.57 ± 1.88\", \"bbox\": [441, 154, 492, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4410543_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}662{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>TKR (<i>n</i> = 105)<sup>a</sup></b></td><td><b><i>p</i> value</b></td><td><b>THR (<i>n</i> = 117)<sup>b</sup></b></td><td><b><i>p</i> value</b></td><td><b>TJR (<i>n</i> = 217)</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td>Age (per year)</td><td>0.96 (0.91–1.00)</td><td>[EMPTY_CELL]</td><td>0.97 (0.93–1.01)</td><td>0.14</td><td>0.96 (0,93–0,99)</td><td>0.01</td></tr><tr><td>Female sex</td><td>1.08 (0.68–1.74)</td><td>[EMPTY_CELL]</td><td>1.12 (0.73–1.72)</td><td>0.61</td><td>1.07 (0.78–1.48)</td><td>0.67</td></tr><tr><td>BMI (per unit)</td><td>1.13 (1.08–1.19)</td><td>[EMPTY_CELL]</td><td>1.01 (0.96–1.05)</td><td>0.81</td><td>1.07 (1.03–1.10)</td><td>0.0002</td></tr><tr><td>Finger length ratio (1–3)</td><td>1.47 (1.07–2,03)</td><td>[EMPTY_CELL]</td><td>1.04 (0.79–1.36)</td><td>0.78</td><td>1.22 (0.99–1.51)</td><td>0.06</td></tr><tr><td>Hand OA severity (0–4)</td><td>1.04 (0.89–1.22)</td><td>[EMPTY_CELL]</td><td>1.17 (1.02–1.34)</td><td>0.03</td><td>1.11 (1.00–1.24))</td><td>0.04</td></tr><tr><td>BMD (per 10 % of predicted)</td><td>1,03 (0,96–1,10)</td><td>[EMPTY_CELL]</td><td>0,99 (0,92–1,05)</td><td>0,67</td><td>1.00 (0,96–1,05)</td><td>0,94</td></tr><tr><td>Previous TKR</td><td>4.94 (2.42–7.71)</td><td>[EMPTY_CELL]</td><td>0.80 (0.37–1.72))</td><td>0.56</td><td>1.91 (1.16–3.14)</td><td>0.01</td></tr><tr><td>Previous THR</td><td>1.28 (0.68–2.40)</td><td>[EMPTY_CELL]</td><td>3.56 (2.04–6.22)</td><td><0.0001</td><td>2.10 (1.30–3.39)</td><td>0.003</td></tr><tr><td>Knee symptoms<sup>c</sup></td><td>6.77 (3.87–11.85)</td><td>[EMPTY_CELL]</td><td>0.97 (0.65–1.46)</td><td>0.90</td><td>2.11 (1.56–2.87)</td><td><0.0001</td></tr><tr><td>Hip symptoms<sup>c</sup></td><td>0.77 (0.47–1.27)</td><td>[EMPTY_CELL]</td><td>2.92 (1.93–4.41)</td><td><0.0001</td><td>1.61 (1.17–2.22)</td><td>0.004</td></tr><tr><td><i>AUC (95 % CI):</i></td><td colspan=\\\"2\\\">0.84 (0.81–0.88)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\">0.71 (0.68–0.75)</td></tr><tr><td><i>R</i><sup><i>2</i></sup><i>: Cragg-Uhler (Nagelkerke):</i></td><td>0.22</td><td>[EMPTY_CELL]</td><td>0.08</td><td>[EMPTY_CELL]</td><td>0.10</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>TKR (<i>n</i> = 105)<sup>a</sup></b>\", \"bbox\": [119, 2, 165, 13]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [199, 4, 224, 13]}, {\"cell\": \"<b>THR (<i>n</i> = 117)<sup>b</sup></b>\", \"bbox\": [250, 2, 298, 13]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [328, 4, 353, 13]}, {\"cell\": \"<b>TJR (<i>n</i> = 217)</b>\", \"bbox\": [380, 4, 422, 13]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [457, 4, 482, 13]}, {\"cell\": \"Age (per year)\", \"bbox\": [1, 17, 48, 27]}, {\"cell\": \"0.96 (0.91–1.00)\", \"bbox\": [119, 17, 170, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 17, 213, 27]}, {\"cell\": \"0.97 (0.93–1.01)\", \"bbox\": [250, 17, 301, 27]}, {\"cell\": \"0.14\", \"bbox\": [328, 17, 343, 27]}, {\"cell\": \"0.96 (0,93–0,99)\", \"bbox\": [380, 17, 431, 27]}, {\"cell\": \"0.01\", \"bbox\": [457, 17, 472, 27]}, {\"cell\": \"Female sex\", \"bbox\": [1, 31, 38, 41]}, {\"cell\": \"1.08 (0.68–1.74)\", \"bbox\": [119, 31, 170, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 31, 213, 41]}, {\"cell\": \"1.12 (0.73–1.72)\", \"bbox\": [250, 31, 301, 41]}, {\"cell\": \"0.61\", \"bbox\": [328, 31, 343, 41]}, {\"cell\": \"1.07 (0.78–1.48)\", \"bbox\": [380, 31, 431, 41]}, {\"cell\": \"0.67\", \"bbox\": [457, 31, 472, 41]}, {\"cell\": \"BMI (per unit)\", \"bbox\": [1, 45, 46, 55]}, {\"cell\": \"1.13 (1.08–1.19)\", \"bbox\": [119, 45, 170, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 45, 226, 55]}, {\"cell\": \"1.01 (0.96–1.05)\", \"bbox\": [250, 45, 301, 55]}, {\"cell\": \"0.81\", \"bbox\": [328, 45, 343, 55]}, {\"cell\": \"1.07 (1.03–1.10)\", \"bbox\": [380, 45, 431, 55]}, {\"cell\": \"0.0002\", \"bbox\": [457, 45, 480, 55]}, {\"cell\": \"Finger length ratio (1–3)\", \"bbox\": [1, 59, 80, 69]}, {\"cell\": \"1.47 (1.07–2,03)\", \"bbox\": [119, 59, 170, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 59, 213, 69]}, {\"cell\": \"1.04 (0.79–1.36)\", \"bbox\": [250, 59, 301, 69]}, {\"cell\": \"0.78\", \"bbox\": [328, 59, 343, 69]}, {\"cell\": \"1.22 (0.99–1.51)\", \"bbox\": [380, 59, 431, 69]}, {\"cell\": \"0.06\", \"bbox\": [457, 59, 472, 69]}, {\"cell\": \"Hand OA severity (0–4)\", \"bbox\": [1, 73, 77, 83]}, {\"cell\": \"1.04 (0.89–1.22)\", \"bbox\": [119, 73, 170, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 73, 213, 83]}, {\"cell\": \"1.17 (1.02–1.34)\", \"bbox\": [250, 73, 301, 83]}, {\"cell\": \"0.03\", \"bbox\": [328, 73, 343, 83]}, {\"cell\": \"1.11 (1.00–1.24))\", \"bbox\": [380, 73, 433, 83]}, {\"cell\": \"0.04\", \"bbox\": [457, 73, 472, 83]}, {\"cell\": \"BMD (per 10 % of predicted)\", \"bbox\": [1, 87, 95, 97]}, {\"cell\": \"1,03 (0,96–1,10)\", \"bbox\": [119, 87, 170, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 87, 210, 97]}, {\"cell\": \"0,99 (0,92–1,05)\", \"bbox\": [250, 87, 301, 97]}, {\"cell\": \"0,67\", \"bbox\": [328, 87, 343, 97]}, {\"cell\": \"1.00 (0,96–1,05)\", \"bbox\": [380, 87, 431, 97]}, {\"cell\": \"0,94\", \"bbox\": [457, 87, 472, 97]}, {\"cell\": \"Previous TKR\", \"bbox\": [1, 101, 43, 111]}, {\"cell\": \"4.94 (2.42–7.71)\", \"bbox\": [119, 101, 170, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 101, 226, 111]}, {\"cell\": \"0.80 (0.37–1.72))\", \"bbox\": [250, 101, 303, 111]}, {\"cell\": \"0.56\", \"bbox\": [328, 101, 343, 111]}, {\"cell\": \"1.91 (1.16–3.14)\", \"bbox\": [380, 101, 431, 111]}, {\"cell\": \"0.01\", \"bbox\": [457, 101, 472, 111]}, {\"cell\": \"Previous THR\", \"bbox\": [1, 115, 44, 125]}, {\"cell\": \"1.28 (0.68–2.40)\", \"bbox\": [119, 115, 170, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 115, 213, 125]}, {\"cell\": \"3.56 (2.04–6.22)\", \"bbox\": [250, 115, 301, 125]}, {\"cell\": \"<0.0001\", \"bbox\": [328, 115, 355, 125]}, {\"cell\": \"2.10 (1.30–3.39)\", \"bbox\": [380, 115, 431, 125]}, {\"cell\": \"0.003\", \"bbox\": [457, 115, 476, 125]}, {\"cell\": \"Knee symptoms<sup>c</sup>\", \"bbox\": [1, 127, 57, 139]}, {\"cell\": \"6.77 (3.87–11.85)\", \"bbox\": [119, 129, 174, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 129, 226, 139]}, {\"cell\": \"0.97 (0.65–1.46)\", \"bbox\": [250, 129, 301, 139]}, {\"cell\": \"0.90\", \"bbox\": [328, 129, 343, 139]}, {\"cell\": \"2.11 (1.56–2.87)\", \"bbox\": [380, 129, 431, 139]}, {\"cell\": \"<0.0001\", \"bbox\": [457, 129, 484, 139]}, {\"cell\": \"Hip symptoms<sup>c</sup>\", \"bbox\": [1, 141, 52, 153]}, {\"cell\": \"0.77 (0.47–1.27)\", \"bbox\": [119, 143, 170, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 143, 213, 153]}, {\"cell\": \"2.92 (1.93–4.41)\", \"bbox\": [250, 143, 301, 153]}, {\"cell\": \"<0.0001\", \"bbox\": [328, 143, 355, 153]}, {\"cell\": \"1.61 (1.17–2.22)\", \"bbox\": [380, 143, 431, 153]}, {\"cell\": \"0.004\", \"bbox\": [457, 143, 476, 153]}, {\"cell\": \"<i>AUC (95 % CI):</i>\", \"bbox\": [1, 157, 47, 166]}, {\"cell\": \"0.84 (0.81–0.88)\", \"bbox\": [119, 157, 170, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 157, 301, 167]}, {\"cell\": \"0.71 (0.68–0.75)\", \"bbox\": [380, 157, 431, 167]}, {\"cell\": \"<i>R</i><sup><i>2</i></sup><i>: Cragg-Uhler (Nagelkerke):</i>\", \"bbox\": [1, 169, 91, 180]}, {\"cell\": \"0.22\", \"bbox\": [119, 171, 134, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.08\", \"bbox\": [250, 171, 265, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.10\", \"bbox\": [380, 171, 394, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4711057_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}663{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>All natural deaths</b></td><td colspan=\\\"2\\\"><b>Respiratory deaths</b></td><td colspan=\\\"2\\\"><b>Cardiovascular deaths</b></td><td colspan=\\\"2\\\"><b>Cerebrovascular deaths</b></td></tr><tr><td><b>City</b></td><td><b>% increase</b></td><td><b>(90% CI)</b></td><td><b>% increase</b></td><td><b>(90% CI)</b></td><td><b>% increase</b></td><td><b>(90% CI)</b></td><td><b>% increase</b></td><td><b>(90% CI)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>21.6</td><td>(18.5 - 24.8)</td><td>34.5</td><td>(24.6 - 45.2)</td><td>28.4</td><td>(24.0 - 33.0)</td><td>33.0</td><td>(25.9 - 40.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>15.6</td><td>(11.0 - 20.4)</td><td>41.3</td><td>(26.4 - 57.9)</td><td>21.4</td><td>(14.0 - 29.4)</td><td>25.1</td><td>(12.4 - 39.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>21.1</td><td>(17.3 - 24.9)</td><td>20.6</td><td>(2.6 - 41.7)</td><td>24.1</td><td>(19.3 - 29.1)</td><td>24.6</td><td>(15.6 - 34.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>10.4</td><td>(8.6 - 12.2)</td><td>18.0</td><td>(13.4 - 22.8)</td><td>9.3</td><td>(6.6 - 12.1)</td><td>10.6</td><td>(5.2 - 16.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>33.6</td><td>(28.5 - 39.0)</td><td>92.5</td><td>(72.3 - 115.1)</td><td>39.2</td><td>(31.2 - 47.6)</td><td>49.8</td><td>(35.6 - 65.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>7.6</td><td>(3.8 - 11.5)</td><td>3.9</td><td>(-0.8 - 30.8)</td><td>8.2</td><td>(2.8 - 13.9)</td><td>14.7</td><td>(2.4 - 28.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>11.4</td><td>(10.0 - 12.9)</td><td>27.7</td><td>(19.4 - 36.6)</td><td>12.3</td><td>(8.5 - 16.2)</td><td>19.7</td><td>(12.1 - 27.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>26.8</td><td>(23.4 - 30.4)</td><td>66.9</td><td>(51.9 - 83.3)</td><td>37.8</td><td>(32.5 - 43.3)</td><td>48.0</td><td>(38.0 - 58.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>8.5</td><td>(1.2 - 16.3)</td><td>32.4</td><td>(9.1 - 60.7)</td><td>20.1</td><td>(7.9 - 33.6)</td><td>1.4</td><td>(-17.4 - 24.4)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All natural deaths</b>\", \"bbox\": [76, 3, 141, 13]}, {\"cell\": \"<b>Respiratory deaths</b>\", \"bbox\": [181, 3, 250, 13]}, {\"cell\": \"<b>Cardiovascular deaths</b>\", \"bbox\": [282, 3, 363, 13]}, {\"cell\": \"<b>Cerebrovascular deaths</b>\", \"bbox\": [387, 3, 473, 13]}, {\"cell\": \"<b>City</b>\", \"bbox\": [5, 29, 21, 39]}, {\"cell\": \"<b>% increase</b>\", \"bbox\": [65, 29, 106, 39]}, {\"cell\": \"<b>(90% CI)</b>\", \"bbox\": [128, 29, 159, 39]}, {\"cell\": \"<b>% increase</b>\", \"bbox\": [172, 29, 213, 39]}, {\"cell\": \"<b>(90% CI)</b>\", \"bbox\": [235, 29, 266, 39]}, {\"cell\": \"<b>% increase</b>\", \"bbox\": [280, 29, 320, 39]}, {\"cell\": \"<b>(90% CI)</b>\", \"bbox\": [342, 29, 373, 39]}, {\"cell\": \"<b>% increase</b>\", \"bbox\": [387, 29, 427, 39]}, {\"cell\": \"<b>(90% CI)</b>\", \"bbox\": [449, 29, 480, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 32, 65]}, {\"cell\": \"21.6\", \"bbox\": [90, 56, 106, 64]}, {\"cell\": \"(18.5 - 24.8)\", \"bbox\": [119, 56, 159, 64]}, {\"cell\": \"34.5\", \"bbox\": [197, 56, 213, 64]}, {\"cell\": \"(24.6 - 45.2)\", \"bbox\": [226, 56, 266, 64]}, {\"cell\": \"28.4\", \"bbox\": [304, 56, 320, 64]}, {\"cell\": \"(24.0 - 33.0)\", \"bbox\": [333, 56, 373, 64]}, {\"cell\": \"33.0\", \"bbox\": [411, 56, 427, 64]}, {\"cell\": \"(25.9 - 40.4)\", \"bbox\": [440, 56, 480, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 69, 42, 79]}, {\"cell\": \"15.6\", \"bbox\": [90, 69, 106, 78]}, {\"cell\": \"(11.0 - 20.4)\", \"bbox\": [119, 69, 159, 78]}, {\"cell\": \"41.3\", \"bbox\": [197, 69, 213, 78]}, {\"cell\": \"(26.4 - 57.9)\", \"bbox\": [226, 69, 266, 78]}, {\"cell\": \"21.4\", \"bbox\": [304, 69, 320, 78]}, {\"cell\": \"(14.0 - 29.4)\", \"bbox\": [333, 69, 373, 78]}, {\"cell\": \"25.1\", \"bbox\": [411, 69, 427, 78]}, {\"cell\": \"(12.4 - 39.3)\", \"bbox\": [440, 69, 480, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 83, 40, 93]}, {\"cell\": \"21.1\", \"bbox\": [90, 83, 106, 92]}, {\"cell\": \"(17.3 - 24.9)\", \"bbox\": [119, 83, 159, 92]}, {\"cell\": \"20.6\", \"bbox\": [197, 83, 213, 92]}, {\"cell\": \"(2.6 - 41.7)\", \"bbox\": [230, 83, 266, 92]}, {\"cell\": \"24.1\", \"bbox\": [304, 83, 320, 92]}, {\"cell\": \"(19.3 - 29.1)\", \"bbox\": [333, 83, 373, 92]}, {\"cell\": \"24.6\", \"bbox\": [411, 83, 427, 92]}, {\"cell\": \"(15.6 - 34.4)\", \"bbox\": [440, 83, 480, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 97, 34, 107]}, {\"cell\": \"10.4\", \"bbox\": [90, 98, 106, 106]}, {\"cell\": \"(8.6 - 12.2)\", \"bbox\": [123, 98, 159, 106]}, {\"cell\": \"18.0\", \"bbox\": [197, 98, 213, 106]}, {\"cell\": \"(13.4 - 22.8)\", \"bbox\": [226, 98, 266, 106]}, {\"cell\": \"9.3\", \"bbox\": [308, 98, 320, 106]}, {\"cell\": \"(6.6 - 12.1)\", \"bbox\": [337, 98, 373, 106]}, {\"cell\": \"10.6\", \"bbox\": [411, 98, 427, 106]}, {\"cell\": \"(5.2 - 16.3)\", \"bbox\": [444, 98, 480, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 111, 27, 121]}, {\"cell\": \"33.6\", \"bbox\": [90, 111, 106, 120]}, {\"cell\": \"(28.5 - 39.0)\", \"bbox\": [119, 111, 159, 120]}, {\"cell\": \"92.5\", \"bbox\": [197, 111, 213, 120]}, {\"cell\": \"(72.3 - 115.1)\", \"bbox\": [222, 111, 266, 120]}, {\"cell\": \"39.2\", \"bbox\": [304, 111, 320, 120]}, {\"cell\": \"(31.2 - 47.6)\", \"bbox\": [333, 111, 373, 120]}, {\"cell\": \"49.8\", \"bbox\": [411, 111, 427, 120]}, {\"cell\": \"(35.6 - 65.6)\", \"bbox\": [440, 111, 480, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 125, 33, 135]}, {\"cell\": \"7.6\", \"bbox\": [94, 125, 106, 134]}, {\"cell\": \"(3.8 - 11.5)\", \"bbox\": [123, 125, 159, 134]}, {\"cell\": \"3.9\", \"bbox\": [201, 125, 213, 134]}, {\"cell\": \"(-0.8 - 30.8)\", \"bbox\": [228, 125, 266, 134]}, {\"cell\": \"8.2\", \"bbox\": [308, 125, 320, 134]}, {\"cell\": \"(2.8 - 13.9)\", \"bbox\": [337, 125, 373, 134]}, {\"cell\": \"14.7\", \"bbox\": [411, 125, 427, 134]}, {\"cell\": \"(2.4 - 28.6)\", \"bbox\": [444, 125, 480, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 139, 24, 149]}, {\"cell\": \"11.4\", \"bbox\": [90, 140, 106, 148]}, {\"cell\": \"(10.0 - 12.9)\", \"bbox\": [119, 140, 159, 148]}, {\"cell\": \"27.7\", \"bbox\": [197, 140, 213, 148]}, {\"cell\": \"(19.4 - 36.6)\", \"bbox\": [226, 140, 266, 148]}, {\"cell\": \"12.3\", \"bbox\": [304, 140, 320, 148]}, {\"cell\": \"(8.5 - 16.2)\", \"bbox\": [337, 140, 373, 148]}, {\"cell\": \"19.7\", \"bbox\": [411, 140, 427, 148]}, {\"cell\": \"(12.1 - 27.8)\", \"bbox\": [440, 140, 480, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 153, 27, 163]}, {\"cell\": \"26.8\", \"bbox\": [90, 153, 106, 162]}, {\"cell\": \"(23.4 - 30.4)\", \"bbox\": [119, 153, 159, 162]}, {\"cell\": \"66.9\", \"bbox\": [197, 153, 213, 162]}, {\"cell\": \"(51.9 - 83.3)\", \"bbox\": [226, 153, 266, 162]}, {\"cell\": \"37.8\", \"bbox\": [304, 153, 320, 162]}, {\"cell\": \"(32.5 - 43.3)\", \"bbox\": [333, 153, 373, 162]}, {\"cell\": \"48.0\", \"bbox\": [411, 153, 427, 162]}, {\"cell\": \"(38.0 - 58.8)\", \"bbox\": [440, 153, 480, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 167, 37, 177]}, {\"cell\": \"8.5\", \"bbox\": [94, 167, 106, 176]}, {\"cell\": \"(1.2 - 16.3)\", \"bbox\": [123, 167, 159, 176]}, {\"cell\": \"32.4\", \"bbox\": [197, 167, 213, 176]}, {\"cell\": \"(9.1 - 60.7)\", \"bbox\": [230, 167, 266, 176]}, {\"cell\": \"20.1\", \"bbox\": [304, 167, 320, 176]}, {\"cell\": \"(7.9 - 33.6)\", \"bbox\": [337, 167, 373, 176]}, {\"cell\": \"1.4\", \"bbox\": [415, 167, 427, 176]}, {\"cell\": \"(-17.4 - 24.4)\", \"bbox\": [438, 167, 480, 176]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2914717_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}664{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Characteristics</b></td><td colspan=\\\"2\\\"><b>Institutional delivery service utilization</b></td><td rowspan=\\\"2\\\"><b>Crude OR(95% CI)</b></td><td rowspan=\\\"2\\\"><b>Adjusted OR(95% CI)</b></td></tr><tr><td><b>Yes (%)</b></td><td><b>NO (%)</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Religion</td></tr><tr><td> Christians</td><td>42 (7.5)</td><td>9 (1.6)</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> Muslim</td><td>119 (21.2)</td><td>391 (69.7)</td><td>0.07 (0.03–0.14)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Educational status</td></tr><tr><td> Unable to read and write</td><td>47 (8.4)</td><td>292 (52)</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> Read and write/elementary</td><td>58 (10.3)</td><td>97 (17.3)</td><td>3.72 (2.37–5.82)</td><td>[EMPTY_CELL]</td></tr><tr><td> Secondary school and above</td><td>56 (10)</td><td>11 (2)</td><td>31.63 (15.46–64.72)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Occupation</td></tr><tr><td> Housewife</td><td>120 (21.4)</td><td>374 (66.7)</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> employee (government/NGO)</td><td>26 (4.6)</td><td>15 (2.7)</td><td>5.40 (2.77–10.54)</td><td>[EMPTY_CELL]</td></tr><tr><td> Other (Petty trade/Student/Laboror)</td><td>15 (2.7)</td><td>11 (2)</td><td>4.25 (1.90–9.50)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Household size</td></tr><tr><td> 1–4</td><td>118 (21)</td><td>211 (37.6)</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> 5 and above</td><td>43 (7.7)</td><td>189 (33.7)</td><td>0.41 (0.27–0.61)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Educational level of the husband</td></tr><tr><td> Unable to read and write</td><td>40 (7.1)</td><td>199 (35.5)</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> Read and write/elementary</td><td>58 (10.3)</td><td>167 (29.8)</td><td>5.40 (2.77–10.54)</td><td>[EMPTY_CELL]</td></tr><tr><td> Secondary school and above</td><td>63 (11.2)</td><td>34 (6.1)</td><td>4.25 (1.90–9.50)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Birth Order</td></tr><tr><td> 1</td><td>59 (10.5)</td><td>39 (7)</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> 2–3</td><td>81 (14.4)</td><td>219 (39)</td><td>0.24 (0.15–0.39)</td><td>[EMPTY_CELL]</td></tr><tr><td> 4–5</td><td>16 (2.9)</td><td>110 (19.6)</td><td>0.96 (0.05–0.19</td><td>[EMPTY_CELL]</td></tr><tr><td> 6+</td><td>5 (0.9)</td><td>32 (5.7)</td><td>0.10 (0.04–0.29</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Knowledge about pregnancy complications</td></tr><tr><td> No</td><td>44 (7.9)</td><td>236 (42.5)</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>117 (21.1)</td><td>158 (28.5)</td><td>3.97 (2.66–5.93)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Visit facility for ANC</td></tr><tr><td> No</td><td>11 (2)</td><td>133 (23.7)</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>150 (26.7)</td><td>267 (47.6)</td><td>6.79 (5.59–12.97)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"<b>Institutional delivery service utilization</b>\", \"bbox\": [155, 4, 279, 13]}, {\"cell\": \"<b>Crude OR(95% CI)</b>\", \"bbox\": [334, 4, 367, 22]}, {\"cell\": \"<b>Adjusted OR(95% CI)</b>\", \"bbox\": [427, 4, 469, 22]}, {\"cell\": \"<b>Yes (%)</b>\", \"bbox\": [155, 17, 180, 27]}, {\"cell\": \"<b>NO (%)</b>\", \"bbox\": [245, 17, 269, 27]}, {\"cell\": \"Religion\", \"bbox\": [1, 30, 28, 40]}, {\"cell\": \" Christians\", \"bbox\": [9, 44, 41, 54]}, {\"cell\": \"42 (7.5)\", \"bbox\": [155, 44, 180, 54]}, {\"cell\": \"9 (1.6)\", \"bbox\": [245, 44, 266, 54]}, {\"cell\": \"1\", \"bbox\": [334, 44, 340, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 44, 432, 54]}, {\"cell\": \" Muslim\", \"bbox\": [9, 58, 34, 68]}, {\"cell\": \"119 (21.2)\", \"bbox\": [155, 58, 188, 68]}, {\"cell\": \"391 (69.7)\", \"bbox\": [245, 58, 278, 68]}, {\"cell\": \"0.07 (0.03–0.14)\", \"bbox\": [334, 58, 385, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 58, 481, 68]}, {\"cell\": \"Educational status\", \"bbox\": [1, 72, 60, 82]}, {\"cell\": \" Unable to read and write\", \"bbox\": [9, 86, 91, 96]}, {\"cell\": \"47 (8.4)\", \"bbox\": [155, 86, 180, 96]}, {\"cell\": \"292 (52)\", \"bbox\": [245, 86, 272, 96]}, {\"cell\": \"1\", \"bbox\": [334, 86, 340, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 86, 432, 96]}, {\"cell\": \" Read and write/elementary\", \"bbox\": [9, 100, 97, 110]}, {\"cell\": \"58 (10.3)\", \"bbox\": [155, 100, 184, 110]}, {\"cell\": \"97 (17.3)\", \"bbox\": [245, 100, 274, 110]}, {\"cell\": \"3.72 (2.37–5.82)\", \"bbox\": [334, 100, 385, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 100, 481, 110]}, {\"cell\": \" Secondary school and above\", \"bbox\": [9, 114, 103, 124]}, {\"cell\": \"56 (10)\", \"bbox\": [155, 114, 179, 124]}, {\"cell\": \"11 (2)\", \"bbox\": [245, 114, 265, 124]}, {\"cell\": \"31.63 (15.46–64.72)\", \"bbox\": [334, 114, 397, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 114, 484, 124]}, {\"cell\": \"Occupation\", \"bbox\": [1, 128, 39, 138]}, {\"cell\": \" Housewife\", \"bbox\": [9, 142, 44, 152]}, {\"cell\": \"120 (21.4)\", \"bbox\": [155, 142, 188, 152]}, {\"cell\": \"374 (66.7)\", \"bbox\": [245, 142, 278, 152]}, {\"cell\": \"1\", \"bbox\": [334, 142, 340, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 142, 432, 152]}, {\"cell\": \" employee (government/NGO)\", \"bbox\": [9, 156, 106, 166]}, {\"cell\": \"26 (4.6)\", \"bbox\": [155, 156, 180, 166]}, {\"cell\": \"15 (2.7)\", \"bbox\": [245, 156, 270, 166]}, {\"cell\": \"5.40 (2.77–10.54)\", \"bbox\": [334, 156, 389, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 156, 474, 166]}, {\"cell\": \" Other (Petty trade/Student/Laboror)\", \"bbox\": [9, 170, 125, 180]}, {\"cell\": \"15 (2.7)\", \"bbox\": [155, 170, 180, 180]}, {\"cell\": \"11 (2)\", \"bbox\": [245, 170, 265, 180]}, {\"cell\": \"4.25 (1.90–9.50)\", \"bbox\": [334, 170, 385, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 170, 474, 180]}, {\"cell\": \"Household size\", \"bbox\": [1, 184, 51, 194]}, {\"cell\": \" 1–4\", \"bbox\": [8, 198, 22, 208]}, {\"cell\": \"118 (21)\", \"bbox\": [155, 198, 183, 208]}, {\"cell\": \"211 (37.6)\", \"bbox\": [245, 198, 278, 208]}, {\"cell\": \"1\", \"bbox\": [334, 198, 340, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 5 and above\", \"bbox\": [8, 212, 51, 222]}, {\"cell\": \"43 (7.7)\", \"bbox\": [155, 212, 180, 222]}, {\"cell\": \"189 (33.7)\", \"bbox\": [245, 212, 278, 222]}, {\"cell\": \"0.41 (0.27–0.61)\", \"bbox\": [334, 212, 385, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 212, 478, 222]}, {\"cell\": \"Educational level of the husband\", \"bbox\": [1, 226, 108, 236]}, {\"cell\": \" Unable to read and write\", \"bbox\": [8, 240, 91, 250]}, {\"cell\": \"40 (7.1)\", \"bbox\": [155, 240, 180, 250]}, {\"cell\": \"199 (35.5)\", \"bbox\": [245, 240, 278, 250]}, {\"cell\": \"1\", \"bbox\": [334, 240, 340, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 240, 432, 250]}, {\"cell\": \" Read and write/elementary\", \"bbox\": [8, 254, 97, 264]}, {\"cell\": \"58 (10.3)\", \"bbox\": [155, 254, 184, 264]}, {\"cell\": \"167 (29.8)\", \"bbox\": [245, 254, 278, 264]}, {\"cell\": \"5.40 (2.77–10.54)\", \"bbox\": [334, 254, 389, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 254, 478, 264]}, {\"cell\": \" Secondary school and above\", \"bbox\": [8, 268, 103, 278]}, {\"cell\": \"63 (11.2)\", \"bbox\": [155, 268, 184, 278]}, {\"cell\": \"34 (6.1)\", \"bbox\": [245, 268, 270, 278]}, {\"cell\": \"4.25 (1.90–9.50)\", \"bbox\": [334, 268, 385, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 268, 478, 278]}, {\"cell\": \"Birth Order\", \"bbox\": [1, 282, 38, 292]}, {\"cell\": \" 1\", \"bbox\": [8, 296, 14, 306]}, {\"cell\": \"59 (10.5)\", \"bbox\": [155, 296, 184, 306]}, {\"cell\": \"39 (7)\", \"bbox\": [245, 296, 265, 306]}, {\"cell\": \"1\", \"bbox\": [334, 296, 340, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 296, 432, 306]}, {\"cell\": \" 2–3\", \"bbox\": [8, 310, 22, 320]}, {\"cell\": \"81 (14.4)\", \"bbox\": [155, 310, 184, 320]}, {\"cell\": \"219 (39)\", \"bbox\": [245, 310, 272, 320]}, {\"cell\": \"0.24 (0.15–0.39)\", \"bbox\": [334, 310, 385, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 310, 481, 320]}, {\"cell\": \" 4–5\", \"bbox\": [8, 324, 22, 334]}, {\"cell\": \"16 (2.9)\", \"bbox\": [155, 324, 180, 334]}, {\"cell\": \"110 (19.6)\", \"bbox\": [245, 324, 278, 334]}, {\"cell\": \"0.96 (0.05–0.19\", \"bbox\": [334, 324, 383, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 324, 481, 334]}, {\"cell\": \" 6+\", \"bbox\": [8, 338, 19, 348]}, {\"cell\": \"5 (0.9)\", \"bbox\": [155, 338, 176, 348]}, {\"cell\": \"32 (5.7)\", \"bbox\": [245, 338, 270, 348]}, {\"cell\": \"0.10 (0.04–0.29\", \"bbox\": [334, 338, 383, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 338, 478, 348]}, {\"cell\": \"Knowledge about pregnancy complications\", \"bbox\": [1, 352, 143, 362]}, {\"cell\": \" No\", \"bbox\": [8, 366, 20, 376]}, {\"cell\": \"44 (7.9)\", \"bbox\": [155, 366, 180, 376]}, {\"cell\": \"236 (42.5)\", \"bbox\": [245, 366, 278, 376]}, {\"cell\": \"1\", \"bbox\": [334, 366, 340, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 366, 432, 376]}, {\"cell\": \" Yes\", \"bbox\": [8, 380, 21, 390]}, {\"cell\": \"117 (21.1)\", \"bbox\": [155, 380, 188, 390]}, {\"cell\": \"158 (28.5)\", \"bbox\": [245, 380, 278, 390]}, {\"cell\": \"3.97 (2.66–5.93)\", \"bbox\": [334, 380, 385, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 380, 481, 390]}, {\"cell\": \"Visit facility for ANC\", \"bbox\": [1, 394, 65, 404]}, {\"cell\": \" No\", \"bbox\": [8, 408, 20, 418]}, {\"cell\": \"11 (2)\", \"bbox\": [155, 408, 175, 418]}, {\"cell\": \"133 (23.7)\", \"bbox\": [245, 408, 278, 418]}, {\"cell\": \"1\", \"bbox\": [334, 408, 340, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 408, 432, 418]}, {\"cell\": \" Yes\", \"bbox\": [8, 422, 21, 432]}, {\"cell\": \"150 (26.7)\", \"bbox\": [155, 422, 188, 432]}, {\"cell\": \"267 (47.6)\", \"bbox\": [245, 422, 278, 432]}, {\"cell\": \"6.79 (5.59–12.97)\", \"bbox\": [334, 422, 389, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [427, 422, 481, 432]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5237279_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}665{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Control (<i>n</i> = 33)</b></td><td><b>RBD (<i>n</i> = 88)</b></td><td><b>PD (<i>n</i> = 65)</b></td><td><b><i>P</i> value RBD vs. control</b></td><td><b><i>P</i> value RBD vs. PD</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>68.4 (8.94)</td><td>[EMPTY_CELL]</td><td>66.4 (5.65)</td><td>0.31</td><td>0.70</td></tr><tr><td>Male (%)</td><td>45.5</td><td>[EMPTY_CELL]</td><td>72.3</td><td>[EMPTY_CELL]</td><td><b>0.001</b></td></tr><tr><td>UPDRS score</td><td>n/a</td><td>[EMPTY_CELL]</td><td>41.8 (17.5)</td><td>n/a</td><td>[EMPTY_CELL]</td></tr><tr><td>MOCA score</td><td>28.3 (1.44)</td><td>[EMPTY_CELL]</td><td>27.6 (2.30)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>BDI score</td><td>4.91 (4.91)</td><td>[EMPTY_CELL]</td><td>10.2 (7.01)</td><td><b>0.01</b></td><td>0.48</td></tr><tr><td>Total LARS score</td><td>−29.1 (4.33)</td><td>[EMPTY_CELL]</td><td>−23.3 (6.85)</td><td>[EMPTY_CELL]</td><td>0.10</td></tr><tr><td>LARS intellectual curiosity score</td><td>−3.30 (0.63)</td><td>[EMPTY_CELL]</td><td>−2.29 (1.07)</td><td>[EMPTY_CELL]</td><td>0.41</td></tr><tr><td>LARS emotion score</td><td>−2.62 (1.03)</td><td>[EMPTY_CELL]</td><td>−2.32 (1.25)</td><td>0.10</td><td>0.19</td></tr><tr><td>LARS action initiation score</td><td>−3.76 (0.47)</td><td>[EMPTY_CELL]</td><td>−3.25 (0.89)</td><td>[EMPTY_CELL]</td><td><b>0.005</b></td></tr><tr><td>LARS self‐awareness score</td><td>−3.12 (1.32)</td><td>[EMPTY_CELL]</td><td>−2.97 (1.32)</td><td><b>0.002</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Mild apathy (%; LARS score ≥−21)</td><td>3.0</td><td>[EMPTY_CELL]</td><td>30.8</td><td><b>0.008</b></td><td>0.23</td></tr><tr><td>Moderate to severe apathy (%; LARS score ≥−16)</td><td>3.0</td><td>[EMPTY_CELL]</td><td>18.5</td><td>0.22</td><td>0.40</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Control (<i>n</i> = 33)</b>\", \"bbox\": [184, 7, 211, 26]}, {\"cell\": \"<b>RBD (<i>n</i> = 88)</b>\", \"bbox\": [241, 7, 268, 26]}, {\"cell\": \"<b>PD (<i>n</i> = 65)</b>\", \"bbox\": [298, 7, 326, 26]}, {\"cell\": \"<b><i>P</i> value RBD vs. control</b>\", \"bbox\": [355, 7, 410, 26]}, {\"cell\": \"<b><i>P</i> value RBD vs. PD</b>\", \"bbox\": [426, 7, 469, 26]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 34, 39, 43]}, {\"cell\": \"68.4 (8.94)\", \"bbox\": [189, 34, 225, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 34, 282, 43]}, {\"cell\": \"66.4 (5.65)\", \"bbox\": [303, 34, 339, 43]}, {\"cell\": \"0.31\", \"bbox\": [362, 34, 377, 43]}, {\"cell\": \"0.70\", \"bbox\": [433, 34, 448, 43]}, {\"cell\": \"Male (%)\", \"bbox\": [1, 44, 34, 53]}, {\"cell\": \"45.5\", \"bbox\": [189, 44, 205, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 44, 262, 53]}, {\"cell\": \"72.3\", \"bbox\": [304, 44, 319, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 44, 381, 51]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [433, 44, 452, 51]}, {\"cell\": \"UPDRS score\", \"bbox\": [1, 54, 48, 63]}, {\"cell\": \"n/a\", \"bbox\": [195, 54, 207, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 54, 282, 63]}, {\"cell\": \"41.8 (17.5)\", \"bbox\": [303, 54, 339, 63]}, {\"cell\": \"n/a\", \"bbox\": [356, 54, 368, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [426, 54, 452, 61]}, {\"cell\": \"MOCA score\", \"bbox\": [1, 64, 46, 73]}, {\"cell\": \"28.3 (1.44)\", \"bbox\": [189, 64, 225, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 64, 282, 73]}, {\"cell\": \"27.6 (2.30)\", \"bbox\": [303, 64, 339, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 64, 381, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [426, 64, 452, 71]}, {\"cell\": \"BDI score\", \"bbox\": [1, 74, 35, 83]}, {\"cell\": \"4.91 (4.91)\", \"bbox\": [189, 74, 225, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 74, 282, 83]}, {\"cell\": \"10.2 (7.01)\", \"bbox\": [303, 74, 339, 83]}, {\"cell\": \"<b>0.01</b>\", \"bbox\": [362, 74, 377, 81]}, {\"cell\": \"0.48\", \"bbox\": [433, 74, 448, 83]}, {\"cell\": \"Total LARS score\", \"bbox\": [0, 84, 62, 93]}, {\"cell\": \"−29.1 (4.33)\", \"bbox\": [184, 84, 225, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 84, 282, 93]}, {\"cell\": \"−23.3 (6.85)\", \"bbox\": [298, 84, 339, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 84, 381, 91]}, {\"cell\": \"0.10\", \"bbox\": [433, 84, 448, 93]}, {\"cell\": \"LARS intellectual curiosity score\", \"bbox\": [1, 94, 110, 103]}, {\"cell\": \"−3.30 (0.63)\", \"bbox\": [184, 94, 225, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 94, 282, 103]}, {\"cell\": \"−2.29 (1.07)\", \"bbox\": [298, 94, 339, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 94, 381, 101]}, {\"cell\": \"0.41\", \"bbox\": [433, 94, 448, 103]}, {\"cell\": \"LARS emotion score\", \"bbox\": [1, 104, 71, 113]}, {\"cell\": \"−2.62 (1.03)\", \"bbox\": [184, 104, 225, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 104, 282, 113]}, {\"cell\": \"−2.32 (1.25)\", \"bbox\": [298, 104, 339, 113]}, {\"cell\": \"0.10\", \"bbox\": [362, 104, 377, 113]}, {\"cell\": \"0.19\", \"bbox\": [433, 104, 448, 113]}, {\"cell\": \"LARS action initiation score\", \"bbox\": [1, 114, 96, 123]}, {\"cell\": \"−3.76 (0.47)\", \"bbox\": [184, 114, 225, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 114, 282, 123]}, {\"cell\": \"−3.25 (0.89)\", \"bbox\": [298, 114, 339, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [355, 114, 381, 121]}, {\"cell\": \"<b>0.005</b>\", \"bbox\": [433, 114, 452, 121]}, {\"cell\": \"LARS self‐awareness score\", \"bbox\": [1, 124, 90, 133]}, {\"cell\": \"−3.12 (1.32)\", \"bbox\": [184, 124, 225, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 124, 282, 133]}, {\"cell\": \"−2.97 (1.32)\", \"bbox\": [298, 124, 339, 133]}, {\"cell\": \"<b>0.002</b>\", \"bbox\": [362, 124, 381, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [426, 124, 452, 131]}, {\"cell\": \"Mild apathy (%; LARS score ≥−21)\", \"bbox\": [1, 134, 121, 143]}, {\"cell\": \"3.0\", \"bbox\": [189, 134, 201, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 134, 257, 143]}, {\"cell\": \"30.8\", \"bbox\": [299, 134, 314, 143]}, {\"cell\": \"<b>0.008</b>\", \"bbox\": [362, 134, 381, 141]}, {\"cell\": \"0.23\", \"bbox\": [433, 134, 448, 143]}, {\"cell\": \"Moderate to severe apathy (%; LARS score ≥−16)\", \"bbox\": [1, 144, 168, 153]}, {\"cell\": \"3.0\", \"bbox\": [189, 144, 201, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 144, 257, 153]}, {\"cell\": \"18.5\", \"bbox\": [299, 144, 314, 153]}, {\"cell\": \"0.22\", \"bbox\": [362, 144, 377, 153]}, {\"cell\": \"0.40\", \"bbox\": [433, 144, 448, 153]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5838543_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}666{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>2006</b></td><td><b>2016</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Mean (SD)</b></td><td><b>Mean (SD)</b></td><td>[EMPTY_CELL]</td><td><b><i>P</i><sup>1</sup></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>21.07 (1.66)</td><td>20.98 (1.38)</td><td>[EMPTY_CELL]</td><td>0.739</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>L1</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>%</b></td><td><b>%</b></td><td><b>Adj. Res.</b></td><td><b><i>P</i></b><b><sup>2</sup> (Cr.’s V)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>39.3</td><td>36.2</td><td>0.6</td><td rowspan=\\\"2\\\">0.601</td></tr><tr><td>[EMPTY_CELL]</td><td>60.7</td><td>63.8</td><td>0.6</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>11.2</td><td>2.5</td><td>3.2</td><td rowspan=\\\"4\\\">0.004 (0.178)</td></tr><tr><td>[EMPTY_CELL]</td><td>67.4</td><td>80.4</td><td>2.9</td></tr><tr><td>[EMPTY_CELL]</td><td>19.8</td><td>16.0</td><td>1.0</td></tr><tr><td>[EMPTY_CELL]</td><td>1.7</td><td>1.2</td><td>0.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>78.9</td><td>83.4</td><td>1.1</td><td rowspan=\\\"5\\\">0.299</td></tr><tr><td>[EMPTY_CELL]</td><td>6.6</td><td>8.0</td><td>0.5</td></tr><tr><td>[EMPTY_CELL]</td><td>11.2</td><td>5.5</td><td>2.0 <sup>‡</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>2.9</td><td>1.8</td><td>0.7</td></tr><tr><td>[EMPTY_CELL]</td><td>0.4</td><td>0.6</td><td>0.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>23.6</td><td>15.3</td><td>2.0</td><td rowspan=\\\"3\\\"><0.001 (0.273)</td></tr><tr><td>[EMPTY_CELL]</td><td>60.3</td><td>44.2</td><td>3.2</td></tr><tr><td>[EMPTY_CELL]</td><td>16.1</td><td>40.5</td><td>5.5</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>2006</b>\", \"bbox\": [118, 4, 136, 14]}, {\"cell\": \"<b>2016</b>\", \"bbox\": [185, 4, 203, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [106, 19, 148, 29]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [173, 19, 215, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>P</i><sup>1</sup></b>\", \"bbox\": [301, 17, 314, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 33, 45, 43]}, {\"cell\": \"21.07 (1.66)\", \"bbox\": [107, 33, 148, 43]}, {\"cell\": \"20.98 (1.38)\", \"bbox\": [173, 33, 215, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.739\", \"bbox\": [298, 33, 318, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>L1</b>\", \"bbox\": [212, 47, 223, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>%</b>\", \"bbox\": [123, 62, 132, 72]}, {\"cell\": \"<b>%</b>\", \"bbox\": [189, 62, 199, 72]}, {\"cell\": \"<b>Adj. Res.</b>\", \"bbox\": [233, 62, 269, 72]}, {\"cell\": \"<b><i>P</i></b><b><sup>2</sup> (Cr.’s V)</b>\", \"bbox\": [286, 60, 330, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 76, 35, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [71, 86, 90, 96]}, {\"cell\": \"39.3\", \"bbox\": [119, 86, 135, 96]}, {\"cell\": \"36.2\", \"bbox\": [186, 86, 202, 96]}, {\"cell\": \"0.6\", \"bbox\": [245, 86, 257, 96]}, {\"cell\": \"0.601\", \"bbox\": [298, 91, 318, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [60, 96, 90, 106]}, {\"cell\": \"60.7\", \"bbox\": [119, 96, 135, 106]}, {\"cell\": \"63.8\", \"bbox\": [186, 96, 202, 106]}, {\"cell\": \"0.6\", \"bbox\": [245, 96, 257, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 110, 61, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [40, 120, 90, 130]}, {\"cell\": \"11.2\", \"bbox\": [119, 120, 135, 130]}, {\"cell\": \"2.5\", \"bbox\": [188, 120, 200, 130]}, {\"cell\": \"3.2\", \"bbox\": [245, 120, 257, 130]}, {\"cell\": \"0.004 (0.178)\", \"bbox\": [285, 135, 331, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [60, 130, 90, 140]}, {\"cell\": \"67.4\", \"bbox\": [119, 130, 135, 140]}, {\"cell\": \"80.4\", \"bbox\": [186, 130, 202, 140]}, {\"cell\": \"2.9\", \"bbox\": [245, 130, 257, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [45, 140, 90, 150]}, {\"cell\": \"19.8\", \"bbox\": [119, 140, 135, 150]}, {\"cell\": \"16.0\", \"bbox\": [186, 140, 202, 150]}, {\"cell\": \"1.0\", \"bbox\": [245, 140, 257, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 150, 90, 160]}, {\"cell\": \"1.7\", \"bbox\": [121, 150, 133, 160]}, {\"cell\": \"1.2\", \"bbox\": [188, 150, 200, 160]}, {\"cell\": \"0.3\", \"bbox\": [245, 150, 257, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 164, 67, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 174, 90, 184]}, {\"cell\": \"78.9\", \"bbox\": [119, 174, 135, 184]}, {\"cell\": \"83.4\", \"bbox\": [186, 174, 202, 184]}, {\"cell\": \"1.1\", \"bbox\": [245, 174, 257, 184]}, {\"cell\": \"0.299\", \"bbox\": [298, 194, 318, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [76, 184, 90, 194]}, {\"cell\": \"6.6\", \"bbox\": [121, 184, 133, 194]}, {\"cell\": \"8.0\", \"bbox\": [188, 184, 200, 194]}, {\"cell\": \"0.5\", \"bbox\": [245, 184, 257, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 194, 90, 204]}, {\"cell\": \"11.2\", \"bbox\": [119, 194, 135, 204]}, {\"cell\": \"5.5\", \"bbox\": [188, 194, 200, 204]}, {\"cell\": \"2.0 <sup>‡</sup>\", \"bbox\": [242, 192, 259, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 204, 90, 214]}, {\"cell\": \"2.9\", \"bbox\": [121, 204, 133, 214]}, {\"cell\": \"1.8\", \"bbox\": [188, 204, 200, 214]}, {\"cell\": \"0.7\", \"bbox\": [245, 204, 257, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 214, 90, 224]}, {\"cell\": \"0.4\", \"bbox\": [121, 214, 133, 224]}, {\"cell\": \"0.6\", \"bbox\": [188, 214, 200, 224]}, {\"cell\": \"0.3\", \"bbox\": [245, 214, 257, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 228, 85, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 238, 90, 248]}, {\"cell\": \"23.6\", \"bbox\": [119, 238, 135, 248]}, {\"cell\": \"15.3\", \"bbox\": [186, 238, 202, 248]}, {\"cell\": \"2.0\", \"bbox\": [245, 238, 257, 248]}, {\"cell\": \"<0.001 (0.273)\", \"bbox\": [282, 248, 333, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 248, 90, 258]}, {\"cell\": \"60.3\", \"bbox\": [119, 248, 135, 258]}, {\"cell\": \"44.2\", \"bbox\": [186, 248, 202, 258]}, {\"cell\": \"3.2\", \"bbox\": [245, 248, 257, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 258, 90, 268]}, {\"cell\": \"16.1\", \"bbox\": [119, 258, 135, 268]}, {\"cell\": \"40.5\", \"bbox\": [186, 258, 202, 268]}, {\"cell\": \"5.5\", \"bbox\": [245, 258, 257, 268]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5793292_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}667{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Sample Characteristics</b></td><td colspan=\\\"2\\\"><b>Prevalence (95% CI)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Unweighted n (%)</b></td><td><b>Weighted %</b></td><td><b>Fibromyalgia %</b></td><td><b>Major Depression %</b></td></tr></thead><tbody><tr><td>Sex</td><td>Men</td><td>52772 (45.8)</td><td>49.1</td><td>0.4 (0.3–0.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Women</td><td>62388 (54.2)</td><td>50.9</td><td>2.0 (1.9–2.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Age</td><td>50 years +</td><td>48707 (42.3)</td><td>36.5</td><td>1.7 (1.5–1.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>18 to 49</td><td>66430 (57.7)</td><td>63.5</td><td>0.3 (0.2–0.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Income*</td><td>High</td><td>85851 (80.6)</td><td>86.8</td><td>1.0 (0.9–1.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Low</td><td>20626 (19.4)</td><td>13.2</td><td>1.5 (1.3–1.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Education**</td><td>High</td><td>60986 (53.5)</td><td>57.1</td><td>1.2 (1.0–1.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Low</td><td>53008 (46.5)</td><td>42.9</td><td>1.3 (1.1–1.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Marital Status***</td><td>Married</td><td>66888 (58.2)</td><td>64.2</td><td>1.2 (1.1–1.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Unmarried</td><td>48113 (41.8)</td><td>35.8</td><td>1.1 (1.0–1.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total</td><td>[EMPTY_CELL]</td><td>115137 (100)</td><td>100</td><td>1.2 (1.1 – 1.3)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Sample Characteristics</b>\", \"bbox\": [212, 4, 290, 14]}, {\"cell\": \"<b>Prevalence (95% CI)</b>\", \"bbox\": [382, 4, 452, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Unweighted n (%)</b>\", \"bbox\": [178, 27, 240, 36]}, {\"cell\": \"<b>Weighted %</b>\", \"bbox\": [271, 27, 314, 36]}, {\"cell\": \"<b>Fibromyalgia %</b>\", \"bbox\": [350, 27, 402, 36]}, {\"cell\": \"<b>Major Depression %</b>\", \"bbox\": [424, 27, 494, 36]}, {\"cell\": \"Sex\", \"bbox\": [4, 49, 18, 59]}, {\"cell\": \"Men\", \"bbox\": [88, 49, 104, 59]}, {\"cell\": \"52772 (45.8)\", \"bbox\": [187, 49, 231, 59]}, {\"cell\": \"49.1\", \"bbox\": [284, 49, 301, 59]}, {\"cell\": \"0.4 (0.3–0.4)\", \"bbox\": [354, 49, 398, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 49, 481, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Women\", \"bbox\": [88, 59, 117, 69]}, {\"cell\": \"62388 (54.2)\", \"bbox\": [187, 59, 231, 69]}, {\"cell\": \"50.9\", \"bbox\": [284, 59, 301, 69]}, {\"cell\": \"2.0 (1.9–2.1)\", \"bbox\": [354, 59, 398, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 59, 481, 69]}, {\"cell\": \"Age\", \"bbox\": [4, 69, 19, 79]}, {\"cell\": \"50 years +\", \"bbox\": [88, 69, 125, 79]}, {\"cell\": \"48707 (42.3)\", \"bbox\": [187, 69, 231, 79]}, {\"cell\": \"36.5\", \"bbox\": [284, 69, 300, 79]}, {\"cell\": \"1.7 (1.5–1.9)\", \"bbox\": [354, 69, 398, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 69, 481, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18 to 49\", \"bbox\": [88, 79, 118, 89]}, {\"cell\": \"66430 (57.7)\", \"bbox\": [187, 79, 231, 89]}, {\"cell\": \"63.5\", \"bbox\": [284, 79, 301, 89]}, {\"cell\": \"0.3 (0.2–0.3)\", \"bbox\": [354, 79, 398, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 79, 481, 89]}, {\"cell\": \"Income*\", \"bbox\": [4, 90, 35, 100]}, {\"cell\": \"High\", \"bbox\": [88, 90, 105, 100]}, {\"cell\": \"85851 (80.6)\", \"bbox\": [187, 90, 232, 100]}, {\"cell\": \"86.8\", \"bbox\": [284, 90, 301, 100]}, {\"cell\": \"1.0 (0.9–1.1)\", \"bbox\": [354, 90, 398, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 90, 481, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [88, 100, 104, 110]}, {\"cell\": \"20626 (19.4)\", \"bbox\": [187, 100, 231, 110]}, {\"cell\": \"13.2\", \"bbox\": [284, 100, 301, 110]}, {\"cell\": \"1.5 (1.3–1.7)\", \"bbox\": [354, 100, 398, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [435, 100, 483, 110]}, {\"cell\": \"Education**\", \"bbox\": [4, 110, 46, 120]}, {\"cell\": \"High\", \"bbox\": [88, 110, 105, 120]}, {\"cell\": \"60986 (53.5)\", \"bbox\": [187, 110, 232, 120]}, {\"cell\": \"57.1\", \"bbox\": [284, 110, 301, 120]}, {\"cell\": \"1.2 (1.0–1.3)\", \"bbox\": [354, 110, 398, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 110, 481, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Low\", \"bbox\": [88, 120, 104, 130]}, {\"cell\": \"53008 (46.5)\", \"bbox\": [187, 120, 232, 130]}, {\"cell\": \"42.9\", \"bbox\": [284, 120, 301, 130]}, {\"cell\": \"1.3 (1.1–1.4)\", \"bbox\": [354, 120, 398, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 120, 481, 130]}, {\"cell\": \"Marital Status***\", \"bbox\": [4, 131, 62, 141]}, {\"cell\": \"Married\", \"bbox\": [88, 131, 116, 141]}, {\"cell\": \"66888 (58.2)\", \"bbox\": [187, 131, 231, 141]}, {\"cell\": \"64.2\", \"bbox\": [284, 131, 301, 141]}, {\"cell\": \"1.2 (1.1–1.4)\", \"bbox\": [354, 131, 398, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [437, 131, 481, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unmarried\", \"bbox\": [88, 141, 126, 151]}, {\"cell\": \"48113 (41.8)\", \"bbox\": [187, 141, 231, 151]}, {\"cell\": \"35.8\", \"bbox\": [284, 141, 301, 151]}, {\"cell\": \"1.1 (1.0–1.3)\", \"bbox\": [354, 141, 398, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [431, 141, 487, 151]}, {\"cell\": \"Total\", \"bbox\": [4, 151, 24, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"115137 (100)\", \"bbox\": [186, 151, 233, 161]}, {\"cell\": \"100\", \"bbox\": [285, 151, 300, 161]}, {\"cell\": \"1.2 (1.1 – 1.3)\", \"bbox\": [351, 151, 400, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [435, 151, 483, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1360070_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}668{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td><b>Prevalence (%)*</b></td><td><b>Rao-Scott χ<sup>2</sup></b></td><td><b>P values</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>89.05</td><td><0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>31.0 (27.4–34.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>36.4 (33.6–39.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>43.5 (40.2–46.9)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>49.6 (46.0–53.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>18.03</td><td><0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>45.4 (42.8–48.0)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>39.1 (36.6–41.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.06</td><td>0.81</td></tr><tr><td>[EMPTY_CELL]</td><td>43.0 (37.2–48.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>42.1 (39.6–44.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>404.57</td><td><0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>35.3 (33.0–37.6)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>30.0 (27.2–32.9)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>73.5 (69.5–77.5)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [5, 15, 72, 25]}, {\"cell\": \"<b>Prevalence (%)*</b>\", \"bbox\": [77, 15, 147, 25]}, {\"cell\": \"<b>Rao-Scott χ<sup>2</sup></b>\", \"bbox\": [153, 4, 199, 26]}, {\"cell\": \"<b>P values</b>\", \"bbox\": [206, 15, 244, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 32, 47, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"89.05\", \"bbox\": [158, 32, 183, 42]}, {\"cell\": \"<0.0001\", \"bbox\": [206, 32, 241, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 45, 31, 55]}, {\"cell\": \"31.0 (27.4–34.7)\", \"bbox\": [77, 45, 144, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 59, 26, 70]}, {\"cell\": \"36.4 (33.6–39.3)\", \"bbox\": [77, 59, 144, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 74, 26, 84]}, {\"cell\": \"43.5 (40.2–46.9)\", \"bbox\": [77, 74, 144, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 88, 31, 99]}, {\"cell\": \"49.6 (46.0–53.1)\", \"bbox\": [77, 88, 144, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 103, 22, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18.03\", \"bbox\": [158, 103, 183, 113]}, {\"cell\": \"<0.0001\", \"bbox\": [206, 103, 241, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 117, 36, 128]}, {\"cell\": \"45.4 (42.8–48.0)\", \"bbox\": [77, 117, 144, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 132, 34, 142]}, {\"cell\": \"39.1 (36.6–41.7)\", \"bbox\": [77, 132, 144, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 146, 29, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.06\", \"bbox\": [163, 146, 183, 156]}, {\"cell\": \"0.81\", \"bbox\": [211, 146, 231, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 160, 40, 171]}, {\"cell\": \"43.0 (37.2–48.7)\", \"bbox\": [77, 160, 144, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 175, 37, 185]}, {\"cell\": \"42.1 (39.6–44.6)\", \"bbox\": [77, 175, 144, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 189, 69, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"404.57\", \"bbox\": [153, 189, 183, 200]}, {\"cell\": \"<0.0001\", \"bbox\": [206, 189, 241, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 204, 72, 214]}, {\"cell\": \"35.3 (33.0–37.6)\", \"bbox\": [77, 204, 144, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 218, 75, 239]}, {\"cell\": \"30.0 (27.2–32.9)\", \"bbox\": [77, 218, 144, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 242, 62, 264]}, {\"cell\": \"73.5 (69.5–77.5)\", \"bbox\": [77, 242, 144, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6009552_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}669{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>52. 5 ± 11.9</td></tr><tr><td>[EMPTY_CELL]</td><td>19/3</td></tr><tr><td>[EMPTY_CELL]</td><td>8.7 ± 6.7</td></tr><tr><td>[EMPTY_CELL]</td><td>16 (72.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>15 (68.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>10 (45.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>9 (41 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>19 (86.4 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (9.1 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (9.1 %)<sup>d</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>12.4 ± 5.3</td></tr><tr><td>[EMPTY_CELL]</td><td>22.5 ± 11.1</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>12 (54.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>20 (91.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>19 (86.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>8 (36.4)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>25.8 ± 30.7</td></tr><tr><td>[EMPTY_CELL]</td><td>27.1 ± 24.0</td></tr><tr><td>[EMPTY_CELL]</td><td>39.3 ± 29.8</td></tr><tr><td>[EMPTY_CELL]</td><td>10.4 ± 2.1</td></tr><tr><td>[EMPTY_CELL]</td><td>16.6 ± 9.6</td></tr><tr><td>[EMPTY_CELL]</td><td>3.7 ± 2.4</td></tr><tr><td>[EMPTY_CELL]</td><td>2.6 ± 1.9</td></tr><tr><td>[EMPTY_CELL]</td><td>7.7 ± 3.9</td></tr><tr><td>[EMPTY_CELL]</td><td>2.9 ± 1.9</td></tr><tr><td>[EMPTY_CELL]</td><td>3.1 ± 2.3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"<b>Value</b>\", \"bbox\": [198, 4, 218, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 38, 27]}, {\"cell\": \"52. 5 ± 11.9\", \"bbox\": [198, 17, 236, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 31, 60, 41]}, {\"cell\": \"19/3\", \"bbox\": [198, 31, 215, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 43, 90, 55]}, {\"cell\": \"8.7 ± 6.7\", \"bbox\": [198, 45, 226, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 61, 69]}, {\"cell\": \"16 (72.7)\", \"bbox\": [198, 59, 227, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 64, 83]}, {\"cell\": \"15 (68.1)\", \"bbox\": [198, 73, 227, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 85, 46, 97]}, {\"cell\": \"10 (45.5)\", \"bbox\": [198, 87, 227, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 49, 111]}, {\"cell\": \"9 (41 %)\", \"bbox\": [198, 101, 227, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 29, 125]}, {\"cell\": \"19 (86.4 %)\", \"bbox\": [198, 115, 236, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 29, 139]}, {\"cell\": \"2 (9.1 %)\", \"bbox\": [198, 129, 228, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 97, 153]}, {\"cell\": \"2 (9.1 %)<sup>d</sup>\", \"bbox\": [198, 141, 231, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 117, 167]}, {\"cell\": \"12.4 ± 5.3\", \"bbox\": [198, 157, 230, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 113, 181]}, {\"cell\": \"22.5 ± 11.1\", \"bbox\": [198, 171, 234, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 93, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 199, 45, 209]}, {\"cell\": \"12 (54.5)\", \"bbox\": [198, 199, 227, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 213, 44, 223]}, {\"cell\": \"20 (91.0)\", \"bbox\": [198, 213, 227, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 227, 54, 237]}, {\"cell\": \"19 (86.0)\", \"bbox\": [198, 227, 227, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 241, 46, 251]}, {\"cell\": \"8 (36.4)\", \"bbox\": [198, 241, 224, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 97, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 269, 45, 279]}, {\"cell\": \"25.8 ± 30.7\", \"bbox\": [198, 269, 234, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 283, 44, 293]}, {\"cell\": \"27.1 ± 24.0\", \"bbox\": [198, 283, 234, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 297, 54, 307]}, {\"cell\": \"39.3 ± 29.8\", \"bbox\": [198, 297, 234, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 311, 46, 321]}, {\"cell\": \"10.4 ± 2.1\", \"bbox\": [198, 311, 230, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 133, 335]}, {\"cell\": \"16.6 ± 9.6\", \"bbox\": [198, 325, 230, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 115, 349]}, {\"cell\": \"3.7 ± 2.4\", \"bbox\": [198, 339, 226, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 126, 363]}, {\"cell\": \"2.6 ± 1.9\", \"bbox\": [198, 353, 226, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 95, 377]}, {\"cell\": \"7.7 ± 3.9\", \"bbox\": [198, 367, 226, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 98, 391]}, {\"cell\": \"2.9 ± 1.9\", \"bbox\": [198, 381, 226, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 395, 41, 405]}, {\"cell\": \"3.1 ± 2.3\", \"bbox\": [198, 395, 226, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5009650_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}670{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Total Number (%)</b></td><td><b>IgG PII positive (<i>N</i> = 1067)</b></td><td><b>IgG PI positive (<i>N</i> = 1067)</b></td><td><b>IgG PI/PII positive (<i>N</i> = 1067)</b></td><td><b>qPCR positive (<i>N</i> = 448)</b></td><td><b>Q fever positive<sup>a</sup> (%) (<i>N</i> = 1067)</b></td><td><b>95 % (CI)</b></td><td><b>P-value</b></td></tr></thead><tbody><tr><td>Age Group (years)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 0–18</td><td>131 (12.3)</td><td>16</td><td>[EMPTY_CELL]</td><td>18</td><td>0</td><td>17 (13.0)</td><td>8.0–20.2</td><td rowspan=\\\"2\\\">0.283</td></tr><tr><td> 18+</td><td>936 (87.7)</td><td>165</td><td>[EMPTY_CELL]</td><td>176</td><td>10</td><td>156 (16.7)</td><td>14.4–19.3</td></tr><tr><td>Total</td><td>1067 (100 %)</td><td>181 (17.0 %)</td><td>[EMPTY_CELL]</td><td>194 (18.2 %)</td><td>10 (2.2 %)</td><td>173 (16.2 %)</td><td>14.1–18.7</td><td>-</td></tr><tr><td>Gender</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>580 (54.4)</td><td>102</td><td>[EMPTY_CELL]</td><td>109</td><td>4</td><td>96 (16.6)</td><td>13.7–22.9</td><td rowspan=\\\"2\\\">0.736</td></tr><tr><td> Male</td><td>487 (45.6)</td><td>79</td><td>[EMPTY_CELL]</td><td>85</td><td>6</td><td>77 (15.8)</td><td>12.6–19.4</td></tr><tr><td>Occupation</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Herder</td><td>678 (63.5)</td><td>140</td><td>[EMPTY_CELL]</td><td>150</td><td>7</td><td>134 (19.8)</td><td>16.9–23.1</td><td rowspan=\\\"6\\\"><0.001</td></tr><tr><td> Civil servant</td><td>142 (13.3)</td><td>10</td><td>[EMPTY_CELL]</td><td>10</td><td>0</td><td>9 (6.3)</td><td>3.1–12.2</td></tr><tr><td> General merchandise</td><td>74 (6.9)</td><td>8</td><td>[EMPTY_CELL]</td><td>9</td><td>0</td><td>6 (8.1)</td><td>3.3–17.4</td></tr><tr><td> Livestock trader</td><td>59 (5.5)</td><td>15</td><td>[EMPTY_CELL]</td><td>16</td><td>2</td><td>15 (25.4)</td><td>15.4–38.7</td></tr><tr><td> Student</td><td>62 (5.8)</td><td>4</td><td>[EMPTY_CELL]</td><td>5</td><td>0</td><td>5 (8.1)</td><td>3.0–18.5</td></tr><tr><td> Others</td><td>52 (4.9)</td><td>4</td><td>[EMPTY_CELL]</td><td>4</td><td>1</td><td>4 (7.7)</td><td>2.5–19.4</td></tr><tr><td>Education Level</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> None</td><td>661 (61.9)</td><td>129</td><td>[EMPTY_CELL]</td><td>141</td><td>7</td><td>130 (19.7)</td><td>16.8–22.9</td><td rowspan=\\\"4\\\"><0.001</td></tr><tr><td> Post-secondary</td><td>114 (10.7)</td><td>12</td><td>[EMPTY_CELL]</td><td>12</td><td>0</td><td>10 (8.8)</td><td>4.5–15.9</td></tr><tr><td> Primary</td><td>206 (19.3)</td><td>36</td><td>[EMPTY_CELL]</td><td>37</td><td>2</td><td>30 (14.6)</td><td>10.2–20.3</td></tr><tr><td> Secondary</td><td>86 (8.1)</td><td>4</td><td>[EMPTY_CELL]</td><td>4</td><td>1</td><td>3 (3.5)</td><td>1.1–9.8</td></tr><tr><td>Residence county</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Garissa</td><td>531 (49.7)</td><td>86</td><td>[EMPTY_CELL]</td><td>93</td><td>6</td><td>83 (15.6)</td><td>12.7–19.1</td><td rowspan=\\\"2\\\">0.607</td></tr><tr><td> Wajir</td><td>536 (50.3)</td><td>95</td><td>[EMPTY_CELL]</td><td>101</td><td>4</td><td>90 (16.8)</td><td>13.8–20.3</td></tr><tr><td>Ethnic groups</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Somali</td><td>963 (90.3)</td><td>173</td><td>[EMPTY_CELL]</td><td>188</td><td>8</td><td>165 (17.1)</td><td>14.8–19.7</td><td rowspan=\\\"2\\\">0.004</td></tr><tr><td> Others</td><td>104 (9.7)</td><td>8</td><td>[EMPTY_CELL]</td><td>6</td><td>2</td><td>8 (7.7)</td><td>3.6–15.4</td></tr><tr><td>Zoonosis knowledge</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>448 (42.0)</td><td>62</td><td>[EMPTY_CELL]</td><td>67</td><td>2</td><td>58 (12.9)</td><td>10.0–16.5</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>619 (58.0)</td><td>119</td><td>[EMPTY_CELL]</td><td>127</td><td>8</td><td>115 (18.6)</td><td>15.6–21.9</td><td>0.012</td></tr><tr><td>Q Fever knowledge</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Yes</td><td>5 (0.5)</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td><td>-</td><td rowspan=\\\"2\\\">-</td></tr><tr><td> No</td><td>1062 (99.5)</td><td>181</td><td>[EMPTY_CELL]</td><td>194</td><td>10</td><td>173 (16.2)</td><td>14.1–18.7</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 26, 13]}, {\"cell\": \"<b>Total Number (%)</b>\", \"bbox\": [79, 4, 134, 13]}, {\"cell\": \"<b>IgG PII positive (<i>N</i> = 1067)</b>\", \"bbox\": [143, 4, 223, 13]}, {\"cell\": \"<b>IgG PI positive (<i>N</i> = 1067)</b>\", \"bbox\": [233, 4, 311, 13]}, {\"cell\": \"<b>IgG PI/PII positive (<i>N</i> = 1067)</b>\", \"bbox\": [316, 4, 403, 13]}, {\"cell\": \"<b>qPCR positive (<i>N</i> = 448)</b>\", \"bbox\": [408, 4, 480, 13]}, {\"cell\": \"<b>Q fever positive<sup>a</sup> (%) (<i>N</i> = 1067)</b>\", \"bbox\": [486, 2, 582, 13]}, {\"cell\": \"<b>95 % (CI)</b>\", \"bbox\": [587, 4, 615, 13]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [622, 4, 645, 13]}, {\"cell\": \"Age Group (years)\", \"bbox\": [1, 16, 57, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0–18\", \"bbox\": [8, 30, 25, 39]}, {\"cell\": \"131 (12.3)\", \"bbox\": [79, 30, 110, 39]}, {\"cell\": \"16\", \"bbox\": [143, 30, 153, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 30, 242, 39]}, {\"cell\": \"18\", \"bbox\": [316, 30, 325, 39]}, {\"cell\": \"0\", \"bbox\": [408, 30, 414, 39]}, {\"cell\": \"17 (13.0)\", \"bbox\": [486, 30, 513, 39]}, {\"cell\": \"8.0–20.2\", \"bbox\": [587, 30, 613, 39]}, {\"cell\": \"0.283\", \"bbox\": [622, 30, 639, 39]}, {\"cell\": \" 18+\", \"bbox\": [8, 43, 22, 52]}, {\"cell\": \"936 (87.7)\", \"bbox\": [79, 43, 110, 52]}, {\"cell\": \"165\", \"bbox\": [143, 43, 156, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 43, 246, 52]}, {\"cell\": \"176\", \"bbox\": [316, 43, 329, 52]}, {\"cell\": \"10\", \"bbox\": [408, 43, 418, 52]}, {\"cell\": \"156 (16.7)\", \"bbox\": [486, 43, 516, 52]}, {\"cell\": \"14.4–19.3\", \"bbox\": [587, 43, 616, 52]}, {\"cell\": \"Total\", \"bbox\": [1, 57, 17, 66]}, {\"cell\": \"1067 (100 %)\", \"bbox\": [79, 57, 120, 66]}, {\"cell\": \"181 (17.0 %)\", \"bbox\": [143, 57, 182, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 57, 272, 66]}, {\"cell\": \"194 (18.2 %)\", \"bbox\": [316, 57, 355, 66]}, {\"cell\": \"10 (2.2 %)\", \"bbox\": [408, 57, 440, 66]}, {\"cell\": \"173 (16.2 %)\", \"bbox\": [486, 57, 524, 66]}, {\"cell\": \"14.1–18.7\", \"bbox\": [587, 57, 616, 66]}, {\"cell\": \"-\", \"bbox\": [622, 57, 626, 66]}, {\"cell\": \"Gender\", \"bbox\": [1, 70, 25, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Female\", \"bbox\": [8, 84, 32, 93]}, {\"cell\": \"580 (54.4)\", \"bbox\": [79, 84, 110, 93]}, {\"cell\": \"102\", \"bbox\": [143, 84, 156, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 84, 242, 93]}, {\"cell\": \"109\", \"bbox\": [316, 84, 329, 93]}, {\"cell\": \"4\", \"bbox\": [408, 84, 414, 93]}, {\"cell\": \"96 (16.6)\", \"bbox\": [486, 84, 513, 93]}, {\"cell\": \"13.7–22.9\", \"bbox\": [587, 84, 616, 93]}, {\"cell\": \"0.736\", \"bbox\": [622, 84, 639, 93]}, {\"cell\": \" Male\", \"bbox\": [8, 97, 24, 106]}, {\"cell\": \"487 (45.6)\", \"bbox\": [79, 97, 110, 106]}, {\"cell\": \"79\", \"bbox\": [143, 97, 153, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 97, 242, 106]}, {\"cell\": \"85\", \"bbox\": [316, 97, 325, 106]}, {\"cell\": \"6\", \"bbox\": [408, 97, 414, 106]}, {\"cell\": \"77 (15.8)\", \"bbox\": [486, 97, 513, 106]}, {\"cell\": \"12.6–19.4\", \"bbox\": [587, 97, 616, 106]}, {\"cell\": \"Occupation\", \"bbox\": [1, 111, 37, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Herder\", \"bbox\": [8, 124, 30, 133]}, {\"cell\": \"678 (63.5)\", \"bbox\": [79, 124, 110, 133]}, {\"cell\": \"140\", \"bbox\": [143, 124, 156, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 124, 246, 133]}, {\"cell\": \"150\", \"bbox\": [316, 124, 329, 133]}, {\"cell\": \"7\", \"bbox\": [408, 124, 414, 133]}, {\"cell\": \"134 (19.8)\", \"bbox\": [486, 124, 516, 133]}, {\"cell\": \"16.9–23.1\", \"bbox\": [587, 124, 616, 133]}, {\"cell\": \"<0.001\", \"bbox\": [622, 124, 644, 133]}, {\"cell\": \" Civil servant\", \"bbox\": [8, 138, 46, 147]}, {\"cell\": \"142 (13.3)\", \"bbox\": [79, 138, 110, 147]}, {\"cell\": \"10\", \"bbox\": [143, 138, 153, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 138, 239, 147]}, {\"cell\": \"10\", \"bbox\": [316, 138, 325, 147]}, {\"cell\": \"0\", \"bbox\": [408, 138, 414, 147]}, {\"cell\": \"9 (6.3)\", \"bbox\": [486, 138, 506, 147]}, {\"cell\": \"3.1–12.2\", \"bbox\": [587, 138, 613, 147]}, {\"cell\": \" General merchandise\", \"bbox\": [8, 151, 74, 160]}, {\"cell\": \"74 (6.9)\", \"bbox\": [79, 151, 102, 160]}, {\"cell\": \"8\", \"bbox\": [143, 151, 149, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 151, 239, 160]}, {\"cell\": \"9\", \"bbox\": [316, 151, 322, 160]}, {\"cell\": \"0\", \"bbox\": [408, 151, 414, 160]}, {\"cell\": \"6 (8.1)\", \"bbox\": [486, 151, 506, 160]}, {\"cell\": \"3.3–17.4\", \"bbox\": [587, 151, 613, 160]}, {\"cell\": \" Livestock trader\", \"bbox\": [8, 165, 57, 174]}, {\"cell\": \"59 (5.5)\", \"bbox\": [79, 165, 102, 174]}, {\"cell\": \"15\", \"bbox\": [143, 165, 153, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 165, 242, 174]}, {\"cell\": \"16\", \"bbox\": [316, 165, 325, 174]}, {\"cell\": \"2\", \"bbox\": [408, 165, 414, 174]}, {\"cell\": \"15 (25.4)\", \"bbox\": [486, 165, 513, 174]}, {\"cell\": \"15.4–38.7\", \"bbox\": [587, 165, 616, 174]}, {\"cell\": \" Student\", \"bbox\": [8, 178, 34, 187]}, {\"cell\": \"62 (5.8)\", \"bbox\": [79, 178, 102, 187]}, {\"cell\": \"4\", \"bbox\": [143, 178, 149, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 178, 239, 187]}, {\"cell\": \"5\", \"bbox\": [316, 178, 322, 187]}, {\"cell\": \"0\", \"bbox\": [408, 178, 414, 187]}, {\"cell\": \"5 (8.1)\", \"bbox\": [486, 178, 506, 187]}, {\"cell\": \"3.0–18.5\", \"bbox\": [587, 178, 613, 187]}, {\"cell\": \" Others\", \"bbox\": [8, 192, 30, 201]}, {\"cell\": \"52 (4.9)\", \"bbox\": [79, 192, 102, 201]}, {\"cell\": \"4\", \"bbox\": [143, 192, 149, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 192, 239, 201]}, {\"cell\": \"4\", \"bbox\": [316, 192, 322, 201]}, {\"cell\": \"1\", \"bbox\": [408, 192, 414, 201]}, {\"cell\": \"4 (7.7)\", \"bbox\": [486, 192, 506, 201]}, {\"cell\": \"2.5–19.4\", \"bbox\": [587, 192, 613, 201]}, {\"cell\": \"Education Level\", \"bbox\": [1, 205, 50, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" None\", \"bbox\": [8, 219, 26, 228]}, {\"cell\": \"661 (61.9)\", \"bbox\": [79, 219, 110, 228]}, {\"cell\": \"129\", \"bbox\": [143, 219, 156, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 219, 246, 228]}, {\"cell\": \"141\", \"bbox\": [316, 219, 329, 228]}, {\"cell\": \"7\", \"bbox\": [408, 219, 414, 228]}, {\"cell\": \"130 (19.7)\", \"bbox\": [486, 219, 516, 228]}, {\"cell\": \"16.8–22.9\", \"bbox\": [587, 219, 616, 228]}, {\"cell\": \"<0.001\", \"bbox\": [622, 219, 644, 228]}, {\"cell\": \" Post-secondary\", \"bbox\": [8, 232, 55, 241]}, {\"cell\": \"114 (10.7)\", \"bbox\": [79, 232, 110, 241]}, {\"cell\": \"12\", \"bbox\": [143, 232, 153, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 232, 242, 241]}, {\"cell\": \"12\", \"bbox\": [316, 232, 325, 241]}, {\"cell\": \"0\", \"bbox\": [408, 232, 414, 241]}, {\"cell\": \"10 (8.8)\", \"bbox\": [486, 232, 509, 241]}, {\"cell\": \"4.5–15.9\", \"bbox\": [587, 232, 613, 241]}, {\"cell\": \" Primary\", \"bbox\": [8, 246, 32, 255]}, {\"cell\": \"206 (19.3)\", \"bbox\": [79, 246, 110, 255]}, {\"cell\": \"36\", \"bbox\": [143, 246, 153, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 246, 242, 255]}, {\"cell\": \"37\", \"bbox\": [316, 246, 325, 255]}, {\"cell\": \"2\", \"bbox\": [408, 246, 414, 255]}, {\"cell\": \"30 (14.6)\", \"bbox\": [486, 246, 513, 255]}, {\"cell\": \"10.2–20.3\", \"bbox\": [587, 246, 616, 255]}, {\"cell\": \" Secondary\", \"bbox\": [8, 259, 41, 268]}, {\"cell\": \"86 (8.1)\", \"bbox\": [79, 259, 102, 268]}, {\"cell\": \"4\", \"bbox\": [143, 259, 149, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 259, 239, 268]}, {\"cell\": \"4\", \"bbox\": [316, 259, 322, 268]}, {\"cell\": \"1\", \"bbox\": [408, 259, 414, 268]}, {\"cell\": \"3 (3.5)\", \"bbox\": [486, 259, 506, 268]}, {\"cell\": \"1.1–9.8\", \"bbox\": [587, 259, 609, 268]}, {\"cell\": \"Residence county\", \"bbox\": [1, 273, 56, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Garissa\", \"bbox\": [8, 286, 31, 295]}, {\"cell\": \"531 (49.7)\", \"bbox\": [79, 286, 110, 295]}, {\"cell\": \"86\", \"bbox\": [143, 286, 153, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 286, 242, 295]}, {\"cell\": \"93\", \"bbox\": [316, 286, 325, 295]}, {\"cell\": \"6\", \"bbox\": [408, 286, 414, 295]}, {\"cell\": \"83 (15.6)\", \"bbox\": [486, 286, 513, 295]}, {\"cell\": \"12.7–19.1\", \"bbox\": [587, 286, 616, 295]}, {\"cell\": \"0.607\", \"bbox\": [622, 286, 639, 295]}, {\"cell\": \" Wajir\", \"bbox\": [8, 300, 25, 309]}, {\"cell\": \"536 (50.3)\", \"bbox\": [79, 300, 110, 309]}, {\"cell\": \"95\", \"bbox\": [143, 300, 153, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 300, 242, 309]}, {\"cell\": \"101\", \"bbox\": [316, 300, 329, 309]}, {\"cell\": \"4\", \"bbox\": [408, 300, 414, 309]}, {\"cell\": \"90 (16.8)\", \"bbox\": [486, 300, 513, 309]}, {\"cell\": \"13.8–20.3\", \"bbox\": [587, 300, 616, 309]}, {\"cell\": \"Ethnic groups\", \"bbox\": [1, 313, 44, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Somali\", \"bbox\": [8, 327, 30, 336]}, {\"cell\": \"963 (90.3)\", \"bbox\": [79, 327, 110, 336]}, {\"cell\": \"173\", \"bbox\": [143, 327, 156, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 327, 246, 336]}, {\"cell\": \"188\", \"bbox\": [316, 327, 329, 336]}, {\"cell\": \"8\", \"bbox\": [408, 327, 414, 336]}, {\"cell\": \"165 (17.1)\", \"bbox\": [486, 327, 516, 336]}, {\"cell\": \"14.8–19.7\", \"bbox\": [587, 327, 616, 336]}, {\"cell\": \"0.004\", \"bbox\": [622, 327, 639, 336]}, {\"cell\": \" Others\", \"bbox\": [8, 340, 30, 349]}, {\"cell\": \"104 (9.7)\", \"bbox\": [79, 340, 106, 349]}, {\"cell\": \"8\", \"bbox\": [143, 340, 149, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 340, 239, 349]}, {\"cell\": \"6\", \"bbox\": [316, 340, 322, 349]}, {\"cell\": \"2\", \"bbox\": [408, 340, 414, 349]}, {\"cell\": \"8 (7.7)\", \"bbox\": [486, 340, 506, 349]}, {\"cell\": \"3.6–15.4\", \"bbox\": [587, 340, 613, 349]}, {\"cell\": \"Zoonosis knowledge\", \"bbox\": [1, 354, 65, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 367, 20, 376]}, {\"cell\": \"448 (42.0)\", \"bbox\": [79, 367, 110, 376]}, {\"cell\": \"62\", \"bbox\": [143, 367, 153, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 367, 242, 376]}, {\"cell\": \"67\", \"bbox\": [316, 367, 325, 376]}, {\"cell\": \"2\", \"bbox\": [408, 367, 414, 376]}, {\"cell\": \"58 (12.9)\", \"bbox\": [486, 367, 513, 376]}, {\"cell\": \"10.0–16.5\", \"bbox\": [587, 367, 616, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 381, 19, 390]}, {\"cell\": \"619 (58.0)\", \"bbox\": [79, 381, 110, 390]}, {\"cell\": \"119\", \"bbox\": [143, 381, 156, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 381, 246, 390]}, {\"cell\": \"127\", \"bbox\": [316, 381, 329, 390]}, {\"cell\": \"8\", \"bbox\": [408, 381, 414, 390]}, {\"cell\": \"115 (18.6)\", \"bbox\": [486, 381, 516, 390]}, {\"cell\": \"15.6–21.9\", \"bbox\": [587, 381, 616, 390]}, {\"cell\": \"0.012\", \"bbox\": [622, 381, 639, 390]}, {\"cell\": \"Q Fever knowledge\", \"bbox\": [1, 394, 62, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Yes\", \"bbox\": [8, 408, 20, 417]}, {\"cell\": \"5 (0.5)\", \"bbox\": [79, 408, 99, 417]}, {\"cell\": \"0\", \"bbox\": [143, 408, 149, 417]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 408, 239, 417]}, {\"cell\": \"0\", \"bbox\": [316, 408, 322, 417]}, {\"cell\": \"0\", \"bbox\": [408, 408, 414, 417]}, {\"cell\": \"0\", \"bbox\": [486, 408, 491, 417]}, {\"cell\": \"-\", \"bbox\": [587, 408, 591, 417]}, {\"cell\": \"-\", \"bbox\": [622, 408, 626, 417]}, {\"cell\": \" No\", \"bbox\": [8, 421, 19, 430]}, {\"cell\": \"1062 (99.5)\", \"bbox\": [79, 421, 113, 430]}, {\"cell\": \"181\", \"bbox\": [143, 421, 156, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [233, 421, 246, 430]}, {\"cell\": \"194\", \"bbox\": [316, 421, 329, 430]}, {\"cell\": \"10\", \"bbox\": [408, 421, 418, 430]}, {\"cell\": \"173 (16.2)\", \"bbox\": [486, 421, 516, 430]}, {\"cell\": \"14.1–18.7\", \"bbox\": [587, 421, 616, 430]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4891891_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}671{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>dbSNP ID</b></td><td><b>Genotype</b></td><td><b>Control n (%)</b></td><td><b>APACG n (%)</b></td><td><b>p Value</b></td><td><b>CPACG n (%)</b></td><td><b>p Value</b></td></tr></thead><tbody><tr><td>rs7591567</td><td>CC</td><td>5 (2.4%)</td><td>3 (2.8%)</td><td>0.779</td><td>[EMPTY_CELL]</td><td>0.368</td></tr><tr><td>[EMPTY_CELL]</td><td>CT</td><td>53 (25.9%)</td><td>32 (29.4%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>TT</td><td>147 (71.7%)</td><td>74 (67.9)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>rs3771073</td><td>CC</td><td>4 (2%)</td><td>2 (1.8%)</td><td>0.343</td><td>[EMPTY_CELL]</td><td>0.509</td></tr><tr><td>[EMPTY_CELL]</td><td>CG</td><td>57 (27.8%)</td><td>39 (35.8%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GG</td><td>144 (70.2%)</td><td>68 (62.4%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>rs9288141</td><td>AA</td><td>128 (62.4%)</td><td>68 (62.4%)</td><td>0.816</td><td>[EMPTY_CELL]</td><td>0.951</td></tr><tr><td>[EMPTY_CELL]</td><td>AG</td><td>72 (35.1%)</td><td>37 (33.9%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GG</td><td>5 (2.4%)</td><td>4 (3.7%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>rs1157699</td><td>CC</td><td>138 (67.3%)</td><td>57 (52.3%)</td><td>0.028</td><td>[EMPTY_CELL]</td><td>0.415</td></tr><tr><td>[EMPTY_CELL]</td><td>CT</td><td>60 (29.3%)</td><td>48 (44%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>TT</td><td>7 (3.4%)</td><td>4 (3.7%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>rs6759535</td><td>CC</td><td>95 (46.3%)</td><td>56 (51.4%)</td><td>0.469</td><td>[EMPTY_CELL]</td><td>0.742</td></tr><tr><td>[EMPTY_CELL]</td><td>CT</td><td>97 (47.3%)</td><td>44 (40.4%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>TT</td><td>13 (6.3%)</td><td>9 (8.3%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>rs840617</td><td>AA</td><td>18 (8.8%)</td><td>12 (11%)</td><td>0.494</td><td>[EMPTY_CELL]</td><td>0.488</td></tr><tr><td>[EMPTY_CELL]</td><td>AT</td><td>79 (38.5%)</td><td>35 (32.1%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>TT</td><td>108 (52.7%)</td><td>62 (56.9%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>dbSNP ID</b>\", \"bbox\": [6, 8, 44, 17]}, {\"cell\": \"<b>Genotype</b>\", \"bbox\": [74, 8, 110, 17]}, {\"cell\": \"<b>Control n (%)</b>\", \"bbox\": [145, 8, 196, 17]}, {\"cell\": \"<b>APACG n (%)</b>\", \"bbox\": [237, 8, 290, 17]}, {\"cell\": \"<b>p Value</b>\", \"bbox\": [320, 8, 349, 17]}, {\"cell\": \"<b>CPACG n (%)</b>\", \"bbox\": [378, 8, 431, 17]}, {\"cell\": \"<b>p Value</b>\", \"bbox\": [463, 8, 492, 17]}, {\"cell\": \"rs7591567\", \"bbox\": [6, 18, 43, 27]}, {\"cell\": \"CC\", \"bbox\": [86, 18, 99, 27]}, {\"cell\": \"5 (2.4%)\", \"bbox\": [155, 18, 186, 27]}, {\"cell\": \"3 (2.8%)\", \"bbox\": [248, 18, 279, 27]}, {\"cell\": \"0.779\", \"bbox\": [324, 18, 344, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 18, 417, 27]}, {\"cell\": \"0.368\", \"bbox\": [468, 18, 488, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [86, 28, 98, 37]}, {\"cell\": \"53 (25.9%)\", \"bbox\": [151, 28, 190, 37]}, {\"cell\": \"32 (29.4%)\", \"bbox\": [244, 28, 283, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 28, 424, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [86, 38, 98, 47]}, {\"cell\": \"147 (71.7%)\", \"bbox\": [149, 38, 192, 47]}, {\"cell\": \"74 (67.9)\", \"bbox\": [248, 38, 280, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 38, 424, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rs3771073\", \"bbox\": [6, 47, 43, 57]}, {\"cell\": \"CC\", \"bbox\": [86, 47, 99, 57]}, {\"cell\": \"4 (2%)\", \"bbox\": [158, 47, 183, 57]}, {\"cell\": \"2 (1.8%)\", \"bbox\": [248, 47, 279, 57]}, {\"cell\": \"0.343\", \"bbox\": [324, 47, 344, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 47, 417, 57]}, {\"cell\": \"0.509\", \"bbox\": [468, 47, 488, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CG\", \"bbox\": [86, 57, 99, 67]}, {\"cell\": \"57 (27.8%)\", \"bbox\": [151, 57, 190, 67]}, {\"cell\": \"39 (35.8%)\", \"bbox\": [244, 57, 283, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 57, 424, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [85, 67, 99, 76]}, {\"cell\": \"144 (70.2%)\", \"bbox\": [149, 67, 192, 76]}, {\"cell\": \"68 (62.4%)\", \"bbox\": [244, 67, 283, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 67, 424, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rs9288141\", \"bbox\": [6, 77, 43, 86]}, {\"cell\": \"AA\", \"bbox\": [85, 77, 99, 86]}, {\"cell\": \"128 (62.4%)\", \"bbox\": [149, 77, 192, 86]}, {\"cell\": \"68 (62.4%)\", \"bbox\": [244, 77, 283, 86]}, {\"cell\": \"0.816\", \"bbox\": [324, 77, 344, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 77, 424, 86]}, {\"cell\": \"0.951\", \"bbox\": [468, 77, 488, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AG\", \"bbox\": [85, 87, 99, 96]}, {\"cell\": \"72 (35.1%)\", \"bbox\": [151, 87, 190, 96]}, {\"cell\": \"37 (33.9%)\", \"bbox\": [244, 87, 283, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 87, 424, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [85, 97, 99, 106]}, {\"cell\": \"5 (2.4%)\", \"bbox\": [155, 97, 186, 106]}, {\"cell\": \"4 (3.7%)\", \"bbox\": [248, 97, 279, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 97, 420, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rs1157699\", \"bbox\": [6, 106, 43, 116]}, {\"cell\": \"CC\", \"bbox\": [86, 106, 99, 116]}, {\"cell\": \"138 (67.3%)\", \"bbox\": [149, 106, 192, 116]}, {\"cell\": \"57 (52.3%)\", \"bbox\": [244, 106, 283, 116]}, {\"cell\": \"0.028\", \"bbox\": [324, 106, 344, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 106, 424, 116]}, {\"cell\": \"0.415\", \"bbox\": [468, 106, 488, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [86, 116, 98, 126]}, {\"cell\": \"60 (29.3%)\", \"bbox\": [151, 116, 190, 126]}, {\"cell\": \"48 (44%)\", \"bbox\": [247, 116, 280, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 116, 424, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [86, 126, 98, 136]}, {\"cell\": \"7 (3.4%)\", \"bbox\": [155, 126, 186, 136]}, {\"cell\": \"4 (3.7%)\", \"bbox\": [248, 126, 279, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 126, 420, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rs6759535\", \"bbox\": [6, 136, 43, 145]}, {\"cell\": \"CC\", \"bbox\": [86, 136, 99, 145]}, {\"cell\": \"95 (46.3%)\", \"bbox\": [151, 136, 190, 145]}, {\"cell\": \"56 (51.4%)\", \"bbox\": [244, 136, 283, 145]}, {\"cell\": \"0.469\", \"bbox\": [324, 136, 344, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [388, 136, 421, 145]}, {\"cell\": \"0.742\", \"bbox\": [468, 136, 488, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CT\", \"bbox\": [86, 146, 98, 155]}, {\"cell\": \"97 (47.3%)\", \"bbox\": [151, 146, 190, 155]}, {\"cell\": \"44 (40.4%)\", \"bbox\": [244, 146, 283, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 146, 424, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [86, 156, 98, 165]}, {\"cell\": \"13 (6.3%)\", \"bbox\": [153, 156, 188, 165]}, {\"cell\": \"9 (8.3%)\", \"bbox\": [248, 156, 279, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 156, 420, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"rs840617\", \"bbox\": [6, 165, 39, 175]}, {\"cell\": \"AA\", \"bbox\": [85, 165, 99, 175]}, {\"cell\": \"18 (8.8%)\", \"bbox\": [153, 165, 188, 175]}, {\"cell\": \"12 (11%)\", \"bbox\": [247, 165, 280, 175]}, {\"cell\": \"0.494\", \"bbox\": [324, 165, 344, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 165, 420, 175]}, {\"cell\": \"0.488\", \"bbox\": [468, 165, 488, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AT\", \"bbox\": [86, 175, 99, 185]}, {\"cell\": \"79 (38.5%)\", \"bbox\": [151, 175, 190, 185]}, {\"cell\": \"35 (32.1%)\", \"bbox\": [244, 175, 283, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 175, 424, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [86, 185, 98, 195]}, {\"cell\": \"108 (52.7%)\", \"bbox\": [149, 185, 192, 195]}, {\"cell\": \"62 (56.9%)\", \"bbox\": [244, 185, 283, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 185, 424, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2773738_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}672{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Group</b></td><td><b>Dose (mg/kg)</b></td><td><b>Con A (5 μg/mL)</b></td><td><b>LPS (10 μg/mL)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">IL-2 (pg/mL)</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>221.44 ± 56.47</td><td>53.37 ± 9.86</td></tr><tr><td>[EMPTY_CELL]</td><td>198</td><td>293.43 ± 67.66*</td><td>86.92 ± 17.35*</td></tr><tr><td>[EMPTY_CELL]</td><td>593</td><td>291.99 ± 61.01*</td><td>85.73 ± 15.81*</td></tr><tr><td>[EMPTY_CELL]</td><td>988</td><td>307.87 ± 45.74*</td><td>86.35 ± 23.85*</td></tr><tr><td>[EMPTY_CELL]</td><td>260</td><td>262.87 ± 51.48</td><td>69.70 ± 21.97</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">IL-4 (pg/mL)</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>21.25 ± 9.80</td><td>4.92 ± 1.34</td></tr><tr><td>[EMPTY_CELL]</td><td>198</td><td>21.28 ± 7.19</td><td>7.28 ± 3.36</td></tr><tr><td>[EMPTY_CELL]</td><td>593</td><td>19.10 ± 5.90</td><td>7.25 ± 3.70</td></tr><tr><td>[EMPTY_CELL]</td><td>988</td><td>17.72 ± 4.30</td><td>7.53 ± 2.89</td></tr><tr><td>[EMPTY_CELL]</td><td>260</td><td>14.86 ± 7.50</td><td>5.09 ± 1.80</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">TNF-α (pg/mL)</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>313.93 ± 107.64</td><td>221.79 ± 90.35</td></tr><tr><td>[EMPTY_CELL]</td><td>198</td><td>410.36 ± 82.17*</td><td>331.79 ± 125.30</td></tr><tr><td>[EMPTY_CELL]</td><td>593</td><td>410.24 ± 106.57*</td><td>433.81 ± 176.07*</td></tr><tr><td>[EMPTY_CELL]</td><td>988</td><td>417.19 ± 77.95*</td><td>410.00 ± 138.37*</td></tr><tr><td>[EMPTY_CELL]</td><td>260</td><td>442.19 ± 90.03*</td><td>293.08 ± 77.07</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">IFN-γ (pg/mL)</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>1329.82 ± 345.51</td><td>186.23 ± 58.04</td></tr><tr><td>[EMPTY_CELL]</td><td>198</td><td>1698.73 ± 323.08*</td><td>204.77 ± 67.81</td></tr><tr><td>[EMPTY_CELL]</td><td>593</td><td>1690.90 ± 360.44*</td><td>276.86 ± 97.37*</td></tr><tr><td>[EMPTY_CELL]</td><td>988</td><td>1765.42 ± 207.41*</td><td>270.92 ± 109.60*</td></tr><tr><td>[EMPTY_CELL]</td><td>260</td><td>1737.08 ± 210.89*</td><td>199.36 ± 76.81</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">GM-CSF (pg/mL)</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>226.52 ± 62.19</td><td>21.04 ± 4.13</td></tr><tr><td>[EMPTY_CELL]</td><td>198</td><td>290.70 ± 42.21*</td><td>25.33 ± 6.32</td></tr><tr><td>[EMPTY_CELL]</td><td>593</td><td>317.65 ± 95.27*</td><td>31.47 ± 7.95*</td></tr><tr><td>[EMPTY_CELL]</td><td>988</td><td>316.36 ± 68.19*</td><td>29.57 ± 9.55*</td></tr><tr><td>[EMPTY_CELL]</td><td>260</td><td>214.17 ± 70.38</td><td>21.96 ± 7.85</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Group</b>\", \"bbox\": [5, 4, 26, 14]}, {\"cell\": \"<b>Dose (mg/kg)</b>\", \"bbox\": [41, 4, 86, 14]}, {\"cell\": \"<b>Con A (5 μg/mL)</b>\", \"bbox\": [104, 4, 160, 14]}, {\"cell\": \"<b>LPS (10 μg/mL)</b>\", \"bbox\": [181, 4, 231, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-2 (pg/mL)\", \"bbox\": [148, 16, 189, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 26, 15, 35]}, {\"cell\": \"–\", \"bbox\": [61, 29, 67, 34]}, {\"cell\": \"221.44 ± 56.47\", \"bbox\": [106, 26, 155, 35]}, {\"cell\": \"53.37 ± 9.86\", \"bbox\": [181, 26, 223, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 36, 19, 45]}, {\"cell\": \"198\", \"bbox\": [57, 36, 70, 45]}, {\"cell\": \"293.43 ± 67.66*\", \"bbox\": [106, 36, 158, 45]}, {\"cell\": \"86.92 ± 17.35*\", \"bbox\": [181, 36, 230, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 46, 19, 55]}, {\"cell\": \"593\", \"bbox\": [57, 46, 70, 55]}, {\"cell\": \"291.99 ± 61.01*\", \"bbox\": [106, 46, 158, 55]}, {\"cell\": \"85.73 ± 15.81*\", \"bbox\": [181, 46, 230, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 19, 65]}, {\"cell\": \"988\", \"bbox\": [57, 55, 70, 65]}, {\"cell\": \"307.87 ± 45.74*\", \"bbox\": [106, 55, 158, 65]}, {\"cell\": \"86.35 ± 23.85*\", \"bbox\": [181, 55, 230, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 65, 15, 74]}, {\"cell\": \"260\", \"bbox\": [57, 65, 70, 74]}, {\"cell\": \"262.87 ± 51.48\", \"bbox\": [106, 65, 155, 74]}, {\"cell\": \"69.70 ± 21.97\", \"bbox\": [181, 65, 227, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IL-4 (pg/mL)\", \"bbox\": [148, 75, 189, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 85, 15, 94]}, {\"cell\": \"–\", \"bbox\": [61, 88, 67, 92]}, {\"cell\": \"21.25 ± 9.80\", \"bbox\": [109, 85, 151, 94]}, {\"cell\": \"4.92 ± 1.34\", \"bbox\": [185, 85, 223, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 94, 19, 104]}, {\"cell\": \"198\", \"bbox\": [57, 94, 70, 104]}, {\"cell\": \"21.28 ± 7.19\", \"bbox\": [109, 94, 151, 104]}, {\"cell\": \"7.28 ± 3.36\", \"bbox\": [185, 94, 223, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 104, 19, 113]}, {\"cell\": \"593\", \"bbox\": [57, 104, 70, 113]}, {\"cell\": \"19.10 ± 5.90\", \"bbox\": [109, 104, 151, 113]}, {\"cell\": \"7.25 ± 3.70\", \"bbox\": [185, 104, 223, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 114, 19, 123]}, {\"cell\": \"988\", \"bbox\": [57, 114, 70, 123]}, {\"cell\": \"17.72 ± 4.30\", \"bbox\": [109, 114, 151, 123]}, {\"cell\": \"7.53 ± 2.89\", \"bbox\": [185, 114, 223, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 124, 15, 133]}, {\"cell\": \"260\", \"bbox\": [57, 124, 70, 133]}, {\"cell\": \"14.86 ± 7.50\", \"bbox\": [109, 124, 151, 133]}, {\"cell\": \"5.09 ± 1.80\", \"bbox\": [185, 124, 223, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TNF-α (pg/mL)\", \"bbox\": [144, 133, 192, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 143, 15, 152]}, {\"cell\": \"–\", \"bbox\": [61, 146, 67, 151]}, {\"cell\": \"313.93 ± 107.64\", \"bbox\": [106, 143, 159, 152]}, {\"cell\": \"221.79 ± 90.35\", \"bbox\": [178, 143, 227, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 153, 19, 162]}, {\"cell\": \"198\", \"bbox\": [57, 153, 70, 162]}, {\"cell\": \"410.36 ± 82.17*\", \"bbox\": [106, 153, 158, 162]}, {\"cell\": \"331.79 ± 125.30\", \"bbox\": [178, 153, 231, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 163, 19, 172]}, {\"cell\": \"593\", \"bbox\": [57, 163, 70, 172]}, {\"cell\": \"410.24 ± 106.57*\", \"bbox\": [106, 163, 162, 172]}, {\"cell\": \"433.81 ± 176.07*\", \"bbox\": [178, 163, 234, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 172, 19, 182]}, {\"cell\": \"988\", \"bbox\": [57, 172, 70, 182]}, {\"cell\": \"417.19 ± 77.95*\", \"bbox\": [106, 172, 158, 182]}, {\"cell\": \"410.00 ± 138.37*\", \"bbox\": [178, 172, 234, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 182, 15, 191]}, {\"cell\": \"260\", \"bbox\": [57, 182, 70, 191]}, {\"cell\": \"442.19 ± 90.03*\", \"bbox\": [106, 182, 158, 191]}, {\"cell\": \"293.08 ± 77.07\", \"bbox\": [178, 182, 227, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IFN-γ (pg/mL)\", \"bbox\": [145, 192, 191, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 202, 15, 211]}, {\"cell\": \"–\", \"bbox\": [61, 205, 67, 209]}, {\"cell\": \"1329.82 ± 345.51\", \"bbox\": [102, 202, 159, 211]}, {\"cell\": \"186.23 ± 58.04\", \"bbox\": [178, 202, 227, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 211, 19, 221]}, {\"cell\": \"198\", \"bbox\": [57, 211, 70, 221]}, {\"cell\": \"1698.73 ± 323.08*\", \"bbox\": [102, 211, 162, 221]}, {\"cell\": \"204.77 ± 67.81\", \"bbox\": [178, 211, 227, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 221, 19, 230]}, {\"cell\": \"593\", \"bbox\": [57, 221, 70, 230]}, {\"cell\": \"1690.90 ± 360.44*\", \"bbox\": [102, 221, 162, 230]}, {\"cell\": \"276.86 ± 97.37*\", \"bbox\": [178, 221, 230, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 231, 19, 240]}, {\"cell\": \"988\", \"bbox\": [57, 231, 70, 240]}, {\"cell\": \"1765.42 ± 207.41*\", \"bbox\": [102, 231, 162, 240]}, {\"cell\": \"270.92 ± 109.60*\", \"bbox\": [178, 231, 234, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 241, 15, 250]}, {\"cell\": \"260\", \"bbox\": [57, 241, 70, 250]}, {\"cell\": \"1737.08 ± 210.89*\", \"bbox\": [102, 241, 162, 250]}, {\"cell\": \"199.36 ± 76.81\", \"bbox\": [178, 241, 227, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GM-CSF (pg/mL)\", \"bbox\": [141, 250, 195, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 260, 15, 269]}, {\"cell\": \"–\", \"bbox\": [61, 263, 67, 268]}, {\"cell\": \"226.52 ± 62.19\", \"bbox\": [106, 260, 155, 269]}, {\"cell\": \"21.04 ± 4.13\", \"bbox\": [181, 260, 223, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 270, 19, 279]}, {\"cell\": \"198\", \"bbox\": [57, 270, 70, 279]}, {\"cell\": \"290.70 ± 42.21*\", \"bbox\": [106, 270, 158, 279]}, {\"cell\": \"25.33 ± 6.32\", \"bbox\": [181, 270, 223, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 280, 19, 289]}, {\"cell\": \"593\", \"bbox\": [57, 280, 70, 289]}, {\"cell\": \"317.65 ± 95.27*\", \"bbox\": [106, 280, 158, 289]}, {\"cell\": \"31.47 ± 7.95*\", \"bbox\": [181, 280, 227, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 289, 19, 299]}, {\"cell\": \"988\", \"bbox\": [57, 289, 70, 299]}, {\"cell\": \"316.36 ± 68.19*\", \"bbox\": [106, 289, 158, 299]}, {\"cell\": \"29.57 ± 9.55*\", \"bbox\": [181, 289, 227, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 299, 15, 308]}, {\"cell\": \"260\", \"bbox\": [57, 299, 70, 308]}, {\"cell\": \"214.17 ± 70.38\", \"bbox\": [106, 299, 155, 308]}, {\"cell\": \"21.96 ± 7.85\", \"bbox\": [181, 299, 223, 308]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6059145_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}673{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Women with first primary age <50</b></td><td colspan=\\\"3\\\"><b>Women with first primary age ≥50</b></td></tr><tr><td><b>O</b></td><td><b>SIR</b></td><td><b>95%CI</b></td><td><b>O</b></td><td><b>SIR</b></td><td><b>95%CI</b></td></tr></thead><tbody><tr><td><b>Any first primary</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>40,120</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Any second primary</td><td>[EMPTY_CELL]</td><td>4.0</td><td>3.4-4.7</td><td>450</td><td>1.0</td><td>0.9-1.1</td></tr><tr><td><b>First primary HR-positive</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>25,735</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Any second primary</td><td>[EMPTY_CELL]</td><td>2.2</td><td>1.7-2.9</td><td>248</td><td>0.8</td><td>0.7-0.9</td></tr><tr><td>Second primary HR-positive</td><td>[EMPTY_CELL]</td><td>1.7</td><td>1.2-2.5</td><td>139</td><td>0.6</td><td>0.5-0.7</td></tr><tr><td>Second primary HR-negative</td><td>[EMPTY_CELL]</td><td>1.8</td><td>0.8-3.5</td><td>43</td><td>1.0</td><td>0.8-1.4</td></tr><tr><td>Second primary HR-mixed</td><td>[EMPTY_CELL]</td><td>4.8</td><td>2.5-8.4</td><td>38</td><td>1.0</td><td>0.7-1.4</td></tr><tr><td><b>First primary HR-negative</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4,758</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Any second primary</td><td>[EMPTY_CELL]</td><td>9.2</td><td>7.1-11.9</td><td>104</td><td>2.0</td><td>1.7-2.5</td></tr><tr><td>Second primary HR-positive</td><td>[EMPTY_CELL]</td><td>2.6</td><td>1.4-4.5</td><td>31</td><td>0.9</td><td>0.7-1.3</td></tr><tr><td>Second primary HR-negative</td><td>[EMPTY_CELL]</td><td>25.4</td><td>17.6-35.4</td><td>46</td><td>6.1</td><td>4.5-8.1</td></tr><tr><td>Second primary HR-mixed</td><td>[EMPTY_CELL]</td><td>18.1</td><td>9.6-31.1</td><td>12</td><td>2.3</td><td>1.3-3.7</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Women with first primary age <50</b>\", \"bbox\": [134, 4, 256, 13]}, {\"cell\": \"<b>Women with first primary age ≥50</b>\", \"bbox\": [322, 4, 443, 13]}, {\"cell\": \"<b>O</b>\", \"bbox\": [134, 17, 142, 27]}, {\"cell\": \"<b>SIR</b>\", \"bbox\": [194, 17, 207, 27]}, {\"cell\": \"<b>95%CI</b>\", \"bbox\": [251, 17, 274, 27]}, {\"cell\": \"<b>O</b>\", \"bbox\": [322, 17, 329, 27]}, {\"cell\": \"<b>SIR</b>\", \"bbox\": [387, 17, 400, 27]}, {\"cell\": \"<b>95%CI</b>\", \"bbox\": [442, 17, 466, 27]}, {\"cell\": \"<b>Any first primary</b>\", \"bbox\": [1, 30, 61, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 30, 153, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40,120\", \"bbox\": [322, 30, 344, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Any second primary\", \"bbox\": [16, 44, 83, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 44, 148, 54]}, {\"cell\": \"4.0\", \"bbox\": [194, 44, 205, 54]}, {\"cell\": \"3.4-4.7\", \"bbox\": [251, 44, 273, 54]}, {\"cell\": \"450\", \"bbox\": [322, 44, 335, 54]}, {\"cell\": \"1.0\", \"bbox\": [387, 44, 398, 54]}, {\"cell\": \"0.9-1.1\", \"bbox\": [442, 44, 465, 54]}, {\"cell\": \"<b>First primary HR-positive</b>\", \"bbox\": [0, 58, 89, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 58, 153, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"25,735\", \"bbox\": [322, 58, 344, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Any second primary\", \"bbox\": [16, 72, 83, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 72, 144, 82]}, {\"cell\": \"2.2\", \"bbox\": [194, 72, 205, 82]}, {\"cell\": \"1.7-2.9\", \"bbox\": [251, 72, 273, 82]}, {\"cell\": \"248\", \"bbox\": [322, 72, 335, 82]}, {\"cell\": \"0.8\", \"bbox\": [387, 72, 398, 82]}, {\"cell\": \"0.7-0.9\", \"bbox\": [442, 72, 465, 82]}, {\"cell\": \"Second primary HR-positive\", \"bbox\": [16, 86, 107, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 86, 144, 96]}, {\"cell\": \"1.7\", \"bbox\": [194, 86, 205, 96]}, {\"cell\": \"1.2-2.5\", \"bbox\": [251, 86, 273, 96]}, {\"cell\": \"139\", \"bbox\": [322, 86, 335, 96]}, {\"cell\": \"0.6\", \"bbox\": [387, 86, 398, 96]}, {\"cell\": \"0.5-0.7\", \"bbox\": [442, 86, 465, 96]}, {\"cell\": \"Second primary HR-negative\", \"bbox\": [16, 100, 110, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 100, 140, 110]}, {\"cell\": \"1.8\", \"bbox\": [194, 100, 205, 110]}, {\"cell\": \"0.8-3.5\", \"bbox\": [251, 100, 273, 110]}, {\"cell\": \"43\", \"bbox\": [322, 100, 331, 110]}, {\"cell\": \"1.0\", \"bbox\": [387, 100, 398, 110]}, {\"cell\": \"0.8-1.4\", \"bbox\": [442, 100, 465, 110]}, {\"cell\": \"Second primary HR-mixed\", \"bbox\": [16, 114, 102, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 114, 144, 124]}, {\"cell\": \"4.8\", \"bbox\": [194, 114, 205, 124]}, {\"cell\": \"2.5-8.4\", \"bbox\": [251, 114, 273, 124]}, {\"cell\": \"38\", \"bbox\": [322, 114, 331, 124]}, {\"cell\": \"1.0\", \"bbox\": [387, 114, 398, 124]}, {\"cell\": \"0.7-1.4\", \"bbox\": [442, 114, 465, 124]}, {\"cell\": \"<b>First primary HR-negative</b>\", \"bbox\": [0, 128, 91, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 128, 153, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4,758\", \"bbox\": [322, 128, 340, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Any second primary\", \"bbox\": [16, 142, 83, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 142, 144, 152]}, {\"cell\": \"9.2\", \"bbox\": [194, 142, 205, 152]}, {\"cell\": \"7.1-11.9\", \"bbox\": [251, 142, 277, 152]}, {\"cell\": \"104\", \"bbox\": [322, 142, 335, 152]}, {\"cell\": \"2.0\", \"bbox\": [387, 142, 398, 152]}, {\"cell\": \"1.7-2.5\", \"bbox\": [442, 142, 465, 152]}, {\"cell\": \"Second primary HR-positive\", \"bbox\": [16, 156, 107, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 156, 140, 166]}, {\"cell\": \"2.6\", \"bbox\": [194, 156, 205, 166]}, {\"cell\": \"1.4-4.5\", \"bbox\": [251, 156, 273, 166]}, {\"cell\": \"31\", \"bbox\": [322, 156, 331, 166]}, {\"cell\": \"0.9\", \"bbox\": [387, 156, 398, 166]}, {\"cell\": \"0.7-1.3\", \"bbox\": [442, 156, 465, 166]}, {\"cell\": \"Second primary HR-negative\", \"bbox\": [16, 170, 110, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 170, 144, 180]}, {\"cell\": \"25.4\", \"bbox\": [194, 170, 209, 180]}, {\"cell\": \"17.6-35.4\", \"bbox\": [251, 170, 280, 180]}, {\"cell\": \"46\", \"bbox\": [322, 170, 331, 180]}, {\"cell\": \"6.1\", \"bbox\": [387, 170, 398, 180]}, {\"cell\": \"4.5-8.1\", \"bbox\": [442, 170, 465, 180]}, {\"cell\": \"Second primary HR-mixed\", \"bbox\": [16, 184, 102, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [134, 184, 144, 194]}, {\"cell\": \"18.1\", \"bbox\": [194, 184, 209, 194]}, {\"cell\": \"9.6-31.1\", \"bbox\": [251, 184, 277, 194]}, {\"cell\": \"12\", \"bbox\": [322, 184, 331, 194]}, {\"cell\": \"2.3\", \"bbox\": [387, 184, 398, 194]}, {\"cell\": \"1.3-3.7\", \"bbox\": [442, 184, 465, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4303131_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}674{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Reduced subset</b></td><td><b>Accessions used (No.)</b></td><td><b>Collection</b></td><td><b>Accessions in constituted</b></td><td><b>References</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>collection (No.)</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Chickpea</td><td>16,991</td><td>Core</td><td>[EMPTY_CELL]</td><td>Upadhyaya et al., 2001a</td></tr><tr><td>[EMPTY_CELL]</td><td>3350</td><td>Core</td><td>[EMPTY_CELL]</td><td>Hannan et al., 1994</td></tr><tr><td>[EMPTY_CELL]</td><td>1002</td><td>Core</td><td>[EMPTY_CELL]</td><td>Kibret, 2012</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td><i>Kabuli</i> core</td><td>[EMPTY_CELL]</td><td>Pouresmael et al., 2009</td></tr><tr><td>[EMPTY_CELL]</td><td>1956</td><td>Mini core</td><td>[EMPTY_CELL]</td><td>Upadhyaya and Ortiz, 2001</td></tr><tr><td>[EMPTY_CELL]</td><td>482</td><td>Mini core</td><td>[EMPTY_CELL]</td><td>Biabani et al., 2011</td></tr><tr><td>Pigeonpea</td><td>12,153</td><td>Core</td><td>[EMPTY_CELL]</td><td>Reddy et al., 2005</td></tr><tr><td>[EMPTY_CELL]</td><td>1290</td><td>Mini core</td><td>[EMPTY_CELL]</td><td>Upadhyaya et al., 2006a</td></tr><tr><td>Groundnut</td><td>630</td><td>Valencia core</td><td>[EMPTY_CELL]</td><td>Dwivedi et al., 2008b</td></tr><tr><td>[EMPTY_CELL]</td><td>7432</td><td>Core</td><td>[EMPTY_CELL]</td><td>Holbrook et al., 1993</td></tr><tr><td>[EMPTY_CELL]</td><td>6390</td><td>Core</td><td>[EMPTY_CELL]</td><td>Jiang et al., 2008</td></tr><tr><td>[EMPTY_CELL]</td><td>4738</td><td>Asian core</td><td>[EMPTY_CELL]</td><td>Upadhyaya et al., 2001b</td></tr><tr><td>[EMPTY_CELL]</td><td>14,310</td><td>Core</td><td>[EMPTY_CELL]</td><td>Upadhyaya et al., 2003</td></tr><tr><td>[EMPTY_CELL]</td><td>831</td><td>Mini core</td><td>[EMPTY_CELL]</td><td>Holbrook and Dong, 2005</td></tr><tr><td>[EMPTY_CELL]</td><td>1704</td><td>Mini core</td><td>[EMPTY_CELL]</td><td>Upadhyaya et al., 2002</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Reduced subset</b>\", \"bbox\": [1, 6, 59, 14]}, {\"cell\": \"<b>Accessions used (No.)</b>\", \"bbox\": [94, 6, 174, 14]}, {\"cell\": \"<b>Collection</b>\", \"bbox\": [209, 6, 246, 14]}, {\"cell\": \"<b>Accessions in constituted</b>\", \"bbox\": [289, 6, 382, 14]}, {\"cell\": \"<b>References</b>\", \"bbox\": [417, 6, 457, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>collection (No.)</b>\", \"bbox\": [289, 17, 345, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chickpea\", \"bbox\": [1, 37, 33, 46]}, {\"cell\": \"16,991\", \"bbox\": [94, 37, 119, 46]}, {\"cell\": \"Core\", \"bbox\": [208, 37, 226, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 37, 307, 46]}, {\"cell\": \"Upadhyaya et al., 2001a\", \"bbox\": [416, 37, 497, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3350\", \"bbox\": [94, 48, 113, 57]}, {\"cell\": \"Core\", \"bbox\": [208, 48, 226, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 48, 303, 57]}, {\"cell\": \"Hannan et al., 1994\", \"bbox\": [416, 48, 483, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1002\", \"bbox\": [94, 60, 112, 69]}, {\"cell\": \"Core\", \"bbox\": [208, 60, 226, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 60, 303, 69]}, {\"cell\": \"Kibret, 2012\", \"bbox\": [416, 60, 458, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [94, 71, 100, 80]}, {\"cell\": \"<i>Kabuli</i> core\", \"bbox\": [208, 71, 248, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 71, 303, 80]}, {\"cell\": \"Pouresmael et al., 2009\", \"bbox\": [416, 71, 497, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1956\", \"bbox\": [94, 83, 112, 92]}, {\"cell\": \"Mini core\", \"bbox\": [208, 83, 242, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 83, 303, 92]}, {\"cell\": \"Upadhyaya and Ortiz, 2001\", \"bbox\": [416, 83, 507, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"482\", \"bbox\": [94, 94, 108, 103]}, {\"cell\": \"Mini core\", \"bbox\": [208, 94, 242, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 94, 299, 103]}, {\"cell\": \"Biabani et al., 2011\", \"bbox\": [416, 94, 480, 103]}, {\"cell\": \"Pigeonpea\", \"bbox\": [1, 114, 37, 123]}, {\"cell\": \"12,153\", \"bbox\": [94, 114, 118, 123]}, {\"cell\": \"Core\", \"bbox\": [208, 114, 226, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 114, 307, 123]}, {\"cell\": \"Reddy et al., 2005\", \"bbox\": [416, 114, 479, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1290\", \"bbox\": [94, 125, 112, 134]}, {\"cell\": \"Mini core\", \"bbox\": [208, 125, 242, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 125, 303, 134]}, {\"cell\": \"Upadhyaya et al., 2006a\", \"bbox\": [416, 125, 498, 134]}, {\"cell\": \"Groundnut\", \"bbox\": [1, 144, 38, 153]}, {\"cell\": \"630\", \"bbox\": [94, 144, 108, 153]}, {\"cell\": \"Valencia core\", \"bbox\": [208, 144, 254, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 144, 299, 153]}, {\"cell\": \"Dwivedi et al., 2008b\", \"bbox\": [416, 144, 489, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7432\", \"bbox\": [94, 156, 112, 165]}, {\"cell\": \"Core\", \"bbox\": [208, 156, 226, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 156, 304, 165]}, {\"cell\": \"Holbrook et al., 1993\", \"bbox\": [416, 156, 487, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6390\", \"bbox\": [94, 167, 113, 176]}, {\"cell\": \"Core\", \"bbox\": [208, 167, 226, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 167, 303, 176]}, {\"cell\": \"Jiang et al., 2008\", \"bbox\": [416, 167, 475, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4738\", \"bbox\": [94, 179, 113, 188]}, {\"cell\": \"Asian core\", \"bbox\": [208, 179, 245, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 179, 303, 188]}, {\"cell\": \"Upadhyaya et al., 2001b\", \"bbox\": [416, 179, 497, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14,310\", \"bbox\": [94, 190, 118, 199]}, {\"cell\": \"Core\", \"bbox\": [208, 190, 226, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 190, 307, 199]}, {\"cell\": \"Upadhyaya et al., 2003\", \"bbox\": [416, 190, 494, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"831\", \"bbox\": [94, 202, 108, 211]}, {\"cell\": \"Mini core\", \"bbox\": [208, 202, 242, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 202, 302, 211]}, {\"cell\": \"Holbrook and Dong, 2005\", \"bbox\": [416, 202, 504, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1704\", \"bbox\": [94, 213, 112, 222]}, {\"cell\": \"Mini core\", \"bbox\": [208, 213, 242, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 213, 303, 222]}, {\"cell\": \"Upadhyaya et al., 2002\", \"bbox\": [416, 213, 494, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3747629_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}675{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Number</b></td><td><b>Question</b></td><td><b>Walgreens/Costco</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>question on vaccination in past 4 weeks</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question on blood transfusion in past year</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question whether allergic to vaccine</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question on asthma or wheezing history</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question on leukemia</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question whether allergic to medication</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>seizure disorder question</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question on cancer</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question whether allergic to egg</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>X-ray treatment question</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question whether allergic to latex</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question on woman pregnancy</td><td>Walgreens; Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question whether currently sick</td><td>Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question on long-term heart disease</td><td>Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>cortisone treatment question</td><td>Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>immunocompromisation question</td><td>Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question whether allergic to food</td><td>Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question on reaction after immunization</td><td>Costco</td></tr><tr><td>[EMPTY_CELL]</td><td>question on whether fainted or felt dizzy after immunization</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on TB skin test in past 4 weeks</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question whether currently sick with a moderate to high fever, vomiting/diarrhea</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on serious nasal condition</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on high-dose steroid therapy for longer than 2 weeks</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on thymus disease</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on current aspirin therapy</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on current antibiotics usage</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on history of thrombocytopenia or thrombocytopenic purpura</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on CSF leak</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on asplenia</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on azathioprine or 6-mercaptopurine usage</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on cochlear implant</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on high-dose methotrexate usage</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on home infusion</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on weekly injection</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on weekly injection of adalmumab</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on weekly injection of etanercept</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on weekly injection of infliximab</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question whether recieving aspirin-containing therapy</td><td>Walgreens</td></tr><tr><td>[EMPTY_CELL]</td><td>question on current anti-malarial medication</td><td>Walgreens</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Number</b>\", \"bbox\": [1, 4, 29, 13]}, {\"cell\": \"<b>Question</b>\", \"bbox\": [94, 4, 125, 13]}, {\"cell\": \"<b>Walgreens/Costco</b>\", \"bbox\": [424, 4, 483, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 6, 27]}, {\"cell\": \"question on vaccination in past 4 weeks\", \"bbox\": [94, 17, 226, 27]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 6, 41]}, {\"cell\": \"question on blood transfusion in past year\", \"bbox\": [94, 31, 233, 41]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 31, 484, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 6, 55]}, {\"cell\": \"question whether allergic to vaccine\", \"bbox\": [94, 45, 213, 55]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 45, 484, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 6, 69]}, {\"cell\": \"question on asthma or wheezing history\", \"bbox\": [94, 59, 227, 69]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 59, 484, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 6, 83]}, {\"cell\": \"question on leukemia\", \"bbox\": [94, 73, 166, 83]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 73, 484, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 6, 97]}, {\"cell\": \"question whether allergic to medication\", \"bbox\": [94, 87, 225, 97]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 87, 484, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 6, 111]}, {\"cell\": \"seizure disorder question\", \"bbox\": [94, 101, 177, 111]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 101, 484, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 6, 125]}, {\"cell\": \"question on cancer\", \"bbox\": [94, 115, 159, 125]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 115, 484, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 6, 139]}, {\"cell\": \"question whether allergic to egg\", \"bbox\": [94, 129, 202, 139]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 129, 484, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 10, 153]}, {\"cell\": \"X-ray treatment question\", \"bbox\": [94, 143, 177, 153]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 143, 484, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 10, 167]}, {\"cell\": \"question whether allergic to latex\", \"bbox\": [94, 157, 204, 167]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 157, 484, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 10, 181]}, {\"cell\": \"question on woman pregnancy\", \"bbox\": [94, 171, 198, 181]}, {\"cell\": \"Walgreens; Costco\", \"bbox\": [424, 171, 484, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 10, 195]}, {\"cell\": \"question whether currently sick\", \"bbox\": [94, 185, 197, 195]}, {\"cell\": \"Costco\", \"bbox\": [424, 185, 448, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 10, 209]}, {\"cell\": \"question on long-term heart disease\", \"bbox\": [94, 199, 214, 209]}, {\"cell\": \"Costco\", \"bbox\": [424, 199, 448, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 10, 223]}, {\"cell\": \"cortisone treatment question\", \"bbox\": [94, 213, 190, 223]}, {\"cell\": \"Costco\", \"bbox\": [424, 213, 448, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 10, 237]}, {\"cell\": \"immunocompromisation question\", \"bbox\": [94, 227, 206, 237]}, {\"cell\": \"Costco\", \"bbox\": [424, 227, 448, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 10, 251]}, {\"cell\": \"question whether allergic to food\", \"bbox\": [94, 241, 204, 251]}, {\"cell\": \"Costco\", \"bbox\": [424, 241, 448, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 10, 265]}, {\"cell\": \"question on reaction after immunization\", \"bbox\": [94, 255, 226, 265]}, {\"cell\": \"Costco\", \"bbox\": [424, 255, 448, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 10, 279]}, {\"cell\": \"question on whether fainted or felt dizzy after immunization\", \"bbox\": [94, 269, 291, 279]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 269, 459, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 10, 293]}, {\"cell\": \"question on TB skin test in past 4 weeks\", \"bbox\": [94, 283, 226, 293]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 283, 459, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 10, 307]}, {\"cell\": \"question whether currently sick with a moderate to high fever, vomiting/diarrhea\", \"bbox\": [94, 297, 358, 307]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 297, 459, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 311, 10, 321]}, {\"cell\": \"question on serious nasal condition\", \"bbox\": [94, 311, 211, 321]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 311, 459, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 10, 335]}, {\"cell\": \"question on high-dose steroid therapy for longer than 2 weeks\", \"bbox\": [94, 325, 299, 335]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 325, 459, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 10, 349]}, {\"cell\": \"question on thymus disease\", \"bbox\": [94, 339, 187, 349]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 339, 459, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 10, 363]}, {\"cell\": \"question on current aspirin therapy\", \"bbox\": [94, 353, 210, 363]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 353, 459, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 10, 377]}, {\"cell\": \"question on current antibiotics usage\", \"bbox\": [94, 367, 216, 377]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 367, 459, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 10, 391]}, {\"cell\": \"question on history of thrombocytopenia or thrombocytopenic purpura\", \"bbox\": [94, 381, 328, 391]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 381, 459, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 395, 10, 405]}, {\"cell\": \"question on CSF leak\", \"bbox\": [94, 395, 164, 405]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 395, 459, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 409, 10, 419]}, {\"cell\": \"question on asplenia\", \"bbox\": [94, 409, 163, 419]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 409, 459, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 423, 10, 433]}, {\"cell\": \"question on azathioprine or 6-mercaptopurine usage\", \"bbox\": [94, 423, 267, 433]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 423, 459, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 437, 10, 447]}, {\"cell\": \"question on cochlear implant\", \"bbox\": [94, 437, 191, 447]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 437, 459, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 451, 10, 461]}, {\"cell\": \"question on high-dose methotrexate usage\", \"bbox\": [94, 451, 236, 461]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 451, 459, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 465, 10, 475]}, {\"cell\": \"question on home infusion\", \"bbox\": [94, 465, 184, 475]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 465, 459, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 479, 10, 489]}, {\"cell\": \"question on weekly injection\", \"bbox\": [94, 479, 189, 489]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 479, 459, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 493, 10, 503]}, {\"cell\": \"question on weekly injection of adalmumab\", \"bbox\": [94, 493, 238, 503]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 493, 459, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 507, 10, 517]}, {\"cell\": \"question on weekly injection of etanercept\", \"bbox\": [94, 507, 235, 517]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 507, 459, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 521, 10, 531]}, {\"cell\": \"question on weekly injection of infliximab\", \"bbox\": [94, 521, 231, 531]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 521, 459, 531]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 535, 10, 545]}, {\"cell\": \"question whether recieving aspirin-containing therapy\", \"bbox\": [94, 535, 271, 545]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 535, 459, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 549, 10, 559]}, {\"cell\": \"question on current anti-malarial medication\", \"bbox\": [94, 549, 240, 559]}, {\"cell\": \"Walgreens\", \"bbox\": [424, 549, 459, 559]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4837519_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}676{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4</b></td><td><b>5</b></td><td><b>ANOVA <i>P</i>-value</b></td><td><b>Bonferroni at 0.05</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Controls 1 (<i>n</i> = 436)</b></td><td><b>MCI (<i>n</i> = 181)</b></td><td><b>AD (<i>n</i> = 230)</b></td><td><b>MD (<i>n</i> = 126)</b></td><td><b>VD (<i>n</i> = 195)</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Age (years)</td><td>78.8 ± 7.5</td><td>77.7 ± 6.8</td><td>78.5 ± 7.0</td><td>77.8 ± 6.4</td><td>78.4 ± 6.5</td><td>[EMPTY_CELL]</td><td>ns</td></tr><tr><td>MMSE score</td><td>27.4 ± 1.7</td><td>24.0 ± 2.6</td><td>17.0 ± 5.4</td><td>17.3 ± 4.5</td><td>18.0 ± 4.8</td><td>[EMPTY_CELL]</td><td>1 vs. 2, 3, 4, 5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2 vs. 3, 4, 5</td></tr><tr><td>GDS score</td><td>8.2 ± 3.9</td><td>8.8 ± 3.9</td><td>8.0 ± 4.4</td><td>8.6 ± 4.5</td><td>9.7 ± 3.5</td><td>[EMPTY_CELL]</td><td>1 vs. 5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3 vs. 5</td></tr><tr><td>ADLs score</td><td>71.2 ± 22.9</td><td>68.5 ± 20.9</td><td>67.2 ± 24.6</td><td>67.2 ± 24.2</td><td>62.9 ± 24.1</td><td>[EMPTY_CELL]</td><td>1 vs. 5</td></tr><tr><td>IADL score</td><td>3.6 ± 2.4</td><td>2.7 ± 2.0</td><td>2.0 ± 1.9</td><td>1.9 ± 1.9</td><td>1.9 ± 1.7</td><td>[EMPTY_CELL]</td><td>1 vs. 2, 3, 4, 5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2 vs. 4, 5</td></tr><tr><td>CIRS score</td><td>31.0 ± 4.7</td><td>32.1 ± 4.6</td><td>28.8 ± 6.7</td><td>31.5 ± 5.5</td><td>32.4 ± 4.3</td><td>[EMPTY_CELL]</td><td>1 vs. 5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3 vs. 1, 2, 4, 5</td></tr><tr><td>CIRS-MI</td><td>3.6 ± 0.5</td><td>3.6 ± 0.5</td><td>3.6 ± 0.5</td><td>3.7 ± 0.5</td><td>3.7 ± 0.5</td><td>[EMPTY_CELL]</td><td>ns</td></tr><tr><td>CIRS-SI</td><td>2.2 ± 0.3</td><td>2.2 ± 0.4</td><td>2.0 ± 0.5</td><td>2.2 ± 0.4</td><td>2.3 ± 0.3</td><td>[EMPTY_CELL]</td><td>3 vs. 1, 2, 4, 5</td></tr><tr><td>CIRS-CI</td><td>6.7 ± 2.1</td><td>7.2 ± 2.2</td><td>5.6 ± 2.9</td><td>6.9 ± 2.5</td><td>7.3 ± 2.0</td><td>[EMPTY_CELL]</td><td>1 vs. 3, 5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3 vs. 2, 4, 5</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>1</b>\", \"bbox\": [91, 6, 97, 15]}, {\"cell\": \"<b>2</b>\", \"bbox\": [162, 6, 168, 15]}, {\"cell\": \"<b>3</b>\", \"bbox\": [221, 6, 227, 15]}, {\"cell\": \"<b>4</b>\", \"bbox\": [279, 6, 285, 15]}, {\"cell\": \"<b>5</b>\", \"bbox\": [337, 6, 343, 15]}, {\"cell\": \"<b>ANOVA <i>P</i>-value</b>\", \"bbox\": [373, 6, 431, 15]}, {\"cell\": \"<b>Bonferroni at 0.05</b>\", \"bbox\": [442, 6, 507, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Controls 1 (<i>n</i> = 436)</b>\", \"bbox\": [58, 26, 129, 35]}, {\"cell\": \"<b>MCI (<i>n</i> = 181)</b>\", \"bbox\": [141, 26, 190, 35]}, {\"cell\": \"<b>AD (<i>n</i> = 230)</b>\", \"bbox\": [201, 26, 247, 35]}, {\"cell\": \"<b>MD (<i>n</i> = 126)</b>\", \"bbox\": [258, 26, 306, 35]}, {\"cell\": \"<b>VD (<i>n</i> = 195)</b>\", \"bbox\": [316, 26, 362, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years)\", \"bbox\": [1, 46, 40, 55]}, {\"cell\": \"78.8 ± 7.5\", \"bbox\": [72, 46, 106, 55]}, {\"cell\": \"77.7 ± 6.8\", \"bbox\": [147, 46, 181, 55]}, {\"cell\": \"78.5 ± 7.0\", \"bbox\": [202, 46, 236, 55]}, {\"cell\": \"77.8 ± 6.4\", \"bbox\": [263, 46, 296, 55]}, {\"cell\": \"78.4 ± 6.5\", \"bbox\": [317, 46, 353, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 46, 407, 55]}, {\"cell\": \"ns\", \"bbox\": [470, 46, 480, 55]}, {\"cell\": \"MMSE score\", \"bbox\": [1, 60, 46, 69]}, {\"cell\": \"27.4 ± 1.7\", \"bbox\": [74, 60, 107, 69]}, {\"cell\": \"24.0 ± 2.6\", \"bbox\": [145, 60, 181, 69]}, {\"cell\": \"17.0 ± 5.4\", \"bbox\": [204, 60, 237, 69]}, {\"cell\": \"17.3 ± 4.5\", \"bbox\": [263, 60, 296, 69]}, {\"cell\": \"18.0 ± 4.8\", \"bbox\": [318, 60, 353, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 60, 413, 68]}, {\"cell\": \"1 vs. 2, 3, 4, 5\", \"bbox\": [450, 60, 499, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 vs. 3, 4, 5\", \"bbox\": [454, 71, 495, 80]}, {\"cell\": \"GDS score\", \"bbox\": [1, 85, 38, 94]}, {\"cell\": \"8.2 ± 3.9\", \"bbox\": [77, 85, 108, 94]}, {\"cell\": \"8.8 ± 3.9\", \"bbox\": [150, 85, 181, 94]}, {\"cell\": \"8.0 ± 4.4\", \"bbox\": [206, 85, 237, 94]}, {\"cell\": \"8.6 ± 4.5\", \"bbox\": [265, 85, 296, 94]}, {\"cell\": \"9.7 ± 3.5\", \"bbox\": [322, 85, 353, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 85, 413, 94]}, {\"cell\": \"1 vs. 5\", \"bbox\": [463, 85, 487, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3 vs. 5\", \"bbox\": [463, 97, 487, 106]}, {\"cell\": \"ADLs score\", \"bbox\": [1, 111, 41, 120]}, {\"cell\": \"71.2 ± 22.9\", \"bbox\": [73, 111, 112, 120]}, {\"cell\": \"68.5 ± 20.9\", \"bbox\": [145, 111, 185, 120]}, {\"cell\": \"67.2 ± 24.6\", \"bbox\": [204, 111, 242, 120]}, {\"cell\": \"67.2 ± 24.2\", \"bbox\": [263, 111, 301, 120]}, {\"cell\": \"62.9 ± 24.1\", \"bbox\": [317, 111, 357, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 111, 412, 119]}, {\"cell\": \"1 vs. 5\", \"bbox\": [463, 111, 487, 120]}, {\"cell\": \"IADL score\", \"bbox\": [1, 125, 40, 134]}, {\"cell\": \"3.6 ± 2.4\", \"bbox\": [77, 125, 108, 134]}, {\"cell\": \"2.7 ± 2.0\", \"bbox\": [150, 125, 181, 134]}, {\"cell\": \"2.0 ± 1.9\", \"bbox\": [206, 125, 236, 134]}, {\"cell\": \"1.9 ± 1.9\", \"bbox\": [266, 125, 295, 134]}, {\"cell\": \"1.9 ± 1.7\", \"bbox\": [323, 125, 352, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 125, 413, 133]}, {\"cell\": \"1 vs. 2, 3, 4, 5\", \"bbox\": [450, 125, 499, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 vs. 4, 5\", \"bbox\": [459, 136, 491, 145]}, {\"cell\": \"CIRS score\", \"bbox\": [1, 150, 39, 159]}, {\"cell\": \"31.0 ± 4.7\", \"bbox\": [73, 150, 108, 159]}, {\"cell\": \"32.1 ± 4.6\", \"bbox\": [145, 150, 181, 159]}, {\"cell\": \"28.8 ± 6.7\", \"bbox\": [202, 150, 237, 159]}, {\"cell\": \"31.5 ± 5.5\", \"bbox\": [262, 150, 296, 159]}, {\"cell\": \"32.4 ± 4.3\", \"bbox\": [317, 150, 353, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 150, 413, 159]}, {\"cell\": \"1 vs. 5\", \"bbox\": [463, 150, 487, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3 vs. 1, 2, 4, 5\", \"bbox\": [450, 162, 499, 171]}, {\"cell\": \"CIRS-MI\", \"bbox\": [1, 176, 30, 185]}, {\"cell\": \"3.6 ± 0.5\", \"bbox\": [77, 176, 108, 185]}, {\"cell\": \"3.6 ± 0.5\", \"bbox\": [150, 176, 181, 185]}, {\"cell\": \"3.6 ± 0.5\", \"bbox\": [206, 176, 237, 185]}, {\"cell\": \"3.7 ± 0.5\", \"bbox\": [265, 176, 296, 185]}, {\"cell\": \"3.7 ± 0.5\", \"bbox\": [322, 176, 353, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 176, 407, 185]}, {\"cell\": \"ns\", \"bbox\": [470, 176, 480, 185]}, {\"cell\": \"CIRS-SI\", \"bbox\": [1, 190, 28, 198]}, {\"cell\": \"2.2 ± 0.3\", \"bbox\": [77, 190, 108, 198]}, {\"cell\": \"2.2 ± 0.4\", \"bbox\": [150, 190, 181, 198]}, {\"cell\": \"2.0 ± 0.5\", \"bbox\": [206, 190, 237, 198]}, {\"cell\": \"2.2 ± 0.4\", \"bbox\": [265, 190, 296, 198]}, {\"cell\": \"2.3 ± 0.3\", \"bbox\": [322, 190, 353, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 189, 413, 198]}, {\"cell\": \"3 vs. 1, 2, 4, 5\", \"bbox\": [450, 190, 499, 198]}, {\"cell\": \"CIRS-CI\", \"bbox\": [1, 203, 28, 212]}, {\"cell\": \"6.7 ± 2.1\", \"bbox\": [77, 203, 108, 212]}, {\"cell\": \"7.2 ± 2.2\", \"bbox\": [151, 203, 181, 212]}, {\"cell\": \"5.6 ± 2.9\", \"bbox\": [206, 203, 237, 212]}, {\"cell\": \"6.9 ± 2.5\", \"bbox\": [265, 203, 296, 212]}, {\"cell\": \"7.3 ± 2.0\", \"bbox\": [323, 203, 353, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 203, 413, 212]}, {\"cell\": \"1 vs. 3, 5\", \"bbox\": [459, 203, 491, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3 vs. 2, 4, 5\", \"bbox\": [454, 215, 495, 224]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4224124_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}677{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Age</b></td><td colspan=\\\"2\\\"><b>Gender</b></td><td colspan=\\\"2\\\"><b>Practice Type</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>χ<sup>2</sup></b></td><td><b>P</b></td><td><b>χ<sup>2</sup></b></td><td><b>P</b></td><td><b>χ<sup>2</sup></b></td><td><b>P</b></td></tr></thead><tbody><tr><td><b>Career Factors</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> A) My career structure in general</td><td>9.422</td><td>0.051</td><td>27.52</td><td><b>0.006*</b></td><td>6.22</td><td>[EMPTY_CELL]</td></tr><tr><td> B) My prospects for future promotion</td><td>32.036</td><td><b>0.001*</b></td><td>66.24</td><td><b>0.001*</b></td><td>7.15</td><td>[EMPTY_CELL]</td></tr><tr><td> C) Salary that I currently receive</td><td>13.096</td><td><b>0.011*</b></td><td>36.57</td><td><b>0.003*</b></td><td>1.52</td><td>[EMPTY_CELL]</td></tr><tr><td> D) Long hours I have to work</td><td>11.136</td><td>0.025*</td><td>22.90</td><td><b>0.029*</b></td><td>2.59</td><td>[EMPTY_CELL]</td></tr><tr><td> E) Not having enough rest breaks per day</td><td>8.959</td><td>0.062</td><td>33.32</td><td><b>0.001*</b></td><td>1.89</td><td>[EMPTY_CELL]</td></tr><tr><td> F) Not having enough holidays per year</td><td>1.374</td><td>0.849</td><td>13.38</td><td>0.342</td><td>6.30</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Professional Factors</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> G) Attitude of my colleagues/workmates</td><td>6.562</td><td>0.161</td><td>31.82</td><td><b>0.002*</b></td><td>3.475</td><td>[EMPTY_CELL]</td></tr><tr><td> H) Attitude of my superiors</td><td>51.383</td><td><b>0.001*</b></td><td>79.52</td><td><b>0.001*</b></td><td>4.318</td><td>[EMPTY_CELL]</td></tr><tr><td> I) Attitude of my clients/customers</td><td>4.005</td><td>0.405</td><td>31.78</td><td><b>0.002*</b></td><td>0.860</td><td>[EMPTY_CELL]</td></tr><tr><td> J) Lack of recognition by the public</td><td>4.034</td><td>0.402</td><td>33.52</td><td><b>0.001*</b></td><td>1.972</td><td>[EMPTY_CELL]</td></tr><tr><td> K) Lack of recognition by colleagues</td><td>7.253</td><td>0.123</td><td>18.215</td><td>0.109</td><td>6.864</td><td>[EMPTY_CELL]</td></tr><tr><td> L) Lack of understanding by my partner/family</td><td>5.588</td><td>0.232</td><td>19.58</td><td>0.076</td><td>9.119</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Practice Issues</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> M) Having too many patients per day</td><td>4.056</td><td>0.399</td><td>39.22</td><td><b>0.001*</b></td><td>5.431</td><td>[EMPTY_CELL]</td></tr><tr><td> N) Not having enough time for each patient</td><td>5.876</td><td>0.209</td><td>50.94</td><td><b>0.001*</b></td><td>17.481</td><td>[EMPTY_CELL]</td></tr><tr><td> O) Pressure to over-service/over-prescribe</td><td>1.794</td><td>0.774</td><td>37.97</td><td><b>0.001*</b></td><td>13.344</td><td>[EMPTY_CELL]</td></tr><tr><td> P) Possibility of litigation</td><td>8.096</td><td>0.088</td><td>33.80</td><td><b>0.001*</b></td><td>2.375</td><td>[EMPTY_CELL]</td></tr><tr><td> Q) Potential danger from animals</td><td>3.514</td><td>0.476</td><td>29.01</td><td><b>0.004*</b></td><td>5.608</td><td>[EMPTY_CELL]</td></tr><tr><td> R) Potential danger from zoonotic diseases</td><td>1.570</td><td>0.814</td><td>23.97</td><td><b>0.021*</b></td><td>1.701</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Age</b>\", \"bbox\": [274, 5, 291, 14]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [354, 5, 385, 14]}, {\"cell\": \"<b>Practice Type</b>\", \"bbox\": [429, 5, 485, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>χ<sup>2</sup></b>\", \"bbox\": [255, 16, 265, 38]}, {\"cell\": \"<b>P</b>\", \"bbox\": [300, 27, 308, 36]}, {\"cell\": \"<b>χ<sup>2</sup></b>\", \"bbox\": [343, 16, 352, 38]}, {\"cell\": \"<b>P</b>\", \"bbox\": [387, 27, 395, 36]}, {\"cell\": \"<b>χ<sup>2</sup></b>\", \"bbox\": [430, 16, 439, 38]}, {\"cell\": \"<b>P</b>\", \"bbox\": [474, 27, 482, 36]}, {\"cell\": \"<b>Career Factors</b>\", \"bbox\": [4, 49, 65, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A) My career structure in general\", \"bbox\": [14, 71, 129, 81]}, {\"cell\": \"9.422\", \"bbox\": [250, 71, 270, 81]}, {\"cell\": \"0.051\", \"bbox\": [294, 71, 314, 81]}, {\"cell\": \"27.52\", \"bbox\": [337, 71, 358, 81]}, {\"cell\": \"<b>0.006*</b>\", \"bbox\": [378, 71, 404, 81]}, {\"cell\": \"6.22\", \"bbox\": [426, 71, 443, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 71, 488, 81]}, {\"cell\": \" B) My prospects for future promotion\", \"bbox\": [14, 81, 144, 91]}, {\"cell\": \"32.036\", \"bbox\": [248, 81, 272, 91]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [291, 82, 317, 91]}, {\"cell\": \"66.24\", \"bbox\": [337, 81, 357, 91]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [378, 82, 404, 91]}, {\"cell\": \"7.15\", \"bbox\": [426, 81, 443, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 81, 488, 91]}, {\"cell\": \" C) Salary that I currently receive\", \"bbox\": [14, 92, 126, 101]}, {\"cell\": \"13.096\", \"bbox\": [248, 92, 272, 101]}, {\"cell\": \"<b>0.011*</b>\", \"bbox\": [291, 92, 317, 101]}, {\"cell\": \"36.57\", \"bbox\": [337, 92, 357, 101]}, {\"cell\": \"<b>0.003*</b>\", \"bbox\": [378, 92, 404, 101]}, {\"cell\": \"1.52\", \"bbox\": [426, 92, 443, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 92, 488, 101]}, {\"cell\": \" D) Long hours I have to work\", \"bbox\": [14, 102, 117, 112]}, {\"cell\": \"11.136\", \"bbox\": [248, 102, 272, 112]}, {\"cell\": \"0.025*\", \"bbox\": [292, 102, 316, 112]}, {\"cell\": \"22.90\", \"bbox\": [337, 102, 357, 112]}, {\"cell\": \"<b>0.029*</b>\", \"bbox\": [378, 102, 404, 112]}, {\"cell\": \"2.59\", \"bbox\": [426, 102, 443, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 102, 488, 112]}, {\"cell\": \" E) Not having enough rest breaks per day\", \"bbox\": [14, 112, 156, 122]}, {\"cell\": \"8.959\", \"bbox\": [250, 112, 270, 122]}, {\"cell\": \"0.062\", \"bbox\": [294, 112, 314, 122]}, {\"cell\": \"33.32\", \"bbox\": [337, 112, 358, 122]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [378, 112, 404, 122]}, {\"cell\": \"1.89\", \"bbox\": [426, 112, 443, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 112, 488, 122]}, {\"cell\": \" F) Not having enough holidays per year\", \"bbox\": [14, 122, 148, 132]}, {\"cell\": \"1.374\", \"bbox\": [250, 122, 270, 132]}, {\"cell\": \"0.849\", \"bbox\": [294, 122, 314, 132]}, {\"cell\": \"13.38\", \"bbox\": [337, 122, 358, 132]}, {\"cell\": \"0.342\", \"bbox\": [381, 122, 401, 132]}, {\"cell\": \"6.30\", \"bbox\": [426, 122, 443, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 122, 488, 132]}, {\"cell\": \"<b>Professional Factors</b>\", \"bbox\": [4, 133, 84, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G) Attitude of my colleagues/workmates\", \"bbox\": [14, 155, 152, 165]}, {\"cell\": \"6.562\", \"bbox\": [250, 155, 270, 165]}, {\"cell\": \"0.161\", \"bbox\": [294, 155, 314, 165]}, {\"cell\": \"31.82\", \"bbox\": [337, 155, 357, 165]}, {\"cell\": \"<b>0.002*</b>\", \"bbox\": [378, 155, 404, 165]}, {\"cell\": \"3.475\", \"bbox\": [424, 155, 445, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 155, 488, 165]}, {\"cell\": \" H) Attitude of my superiors\", \"bbox\": [14, 165, 110, 175]}, {\"cell\": \"51.383\", \"bbox\": [248, 165, 272, 175]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [291, 165, 317, 175]}, {\"cell\": \"79.52\", \"bbox\": [337, 165, 357, 175]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [378, 165, 404, 175]}, {\"cell\": \"4.318\", \"bbox\": [424, 165, 445, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 165, 488, 175]}, {\"cell\": \" I) Attitude of my clients/customers\", \"bbox\": [14, 175, 133, 185]}, {\"cell\": \"4.005\", \"bbox\": [250, 175, 270, 185]}, {\"cell\": \"0.405\", \"bbox\": [294, 175, 314, 185]}, {\"cell\": \"31.78\", \"bbox\": [337, 175, 357, 185]}, {\"cell\": \"<b>0.002*</b>\", \"bbox\": [378, 176, 404, 185]}, {\"cell\": \"0.860\", \"bbox\": [424, 175, 445, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 175, 488, 185]}, {\"cell\": \" J) Lack of recognition by the public\", \"bbox\": [14, 186, 133, 195]}, {\"cell\": \"4.034\", \"bbox\": [250, 186, 270, 195]}, {\"cell\": \"0.402\", \"bbox\": [294, 186, 314, 195]}, {\"cell\": \"33.52\", \"bbox\": [337, 186, 358, 195]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [378, 186, 404, 195]}, {\"cell\": \"1.972\", \"bbox\": [424, 186, 445, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 186, 488, 195]}, {\"cell\": \" K) Lack of recognition by colleagues\", \"bbox\": [14, 196, 137, 206]}, {\"cell\": \"7.253\", \"bbox\": [250, 196, 270, 206]}, {\"cell\": \"0.123\", \"bbox\": [294, 196, 314, 206]}, {\"cell\": \"18.215\", \"bbox\": [335, 196, 360, 206]}, {\"cell\": \"0.109\", \"bbox\": [381, 196, 401, 206]}, {\"cell\": \"6.864\", \"bbox\": [424, 196, 445, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 196, 488, 206]}, {\"cell\": \" L) Lack of understanding by my partner/family\", \"bbox\": [14, 206, 170, 216]}, {\"cell\": \"5.588\", \"bbox\": [250, 206, 270, 216]}, {\"cell\": \"0.232\", \"bbox\": [294, 206, 314, 216]}, {\"cell\": \"19.58\", \"bbox\": [337, 206, 358, 216]}, {\"cell\": \"0.076\", \"bbox\": [381, 206, 401, 216]}, {\"cell\": \"9.119\", \"bbox\": [424, 206, 445, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 206, 488, 216]}, {\"cell\": \"<b>Practice Issues</b>\", \"bbox\": [4, 217, 63, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" M) Having too many patients per day\", \"bbox\": [14, 239, 140, 248]}, {\"cell\": \"4.056\", \"bbox\": [250, 239, 270, 248]}, {\"cell\": \"0.399\", \"bbox\": [294, 239, 314, 248]}, {\"cell\": \"39.22\", \"bbox\": [337, 239, 357, 248]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [378, 239, 404, 248]}, {\"cell\": \"5.431\", \"bbox\": [424, 239, 445, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 239, 488, 248]}, {\"cell\": \" N) Not having enough time for each patient\", \"bbox\": [14, 249, 163, 259]}, {\"cell\": \"5.876\", \"bbox\": [250, 249, 270, 259]}, {\"cell\": \"0.209\", \"bbox\": [294, 249, 314, 259]}, {\"cell\": \"50.94\", \"bbox\": [337, 249, 357, 259]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [378, 249, 404, 259]}, {\"cell\": \"17.481\", \"bbox\": [422, 249, 447, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 249, 491, 259]}, {\"cell\": \" O) Pressure to over-service/over-prescribe\", \"bbox\": [14, 259, 162, 269]}, {\"cell\": \"1.794\", \"bbox\": [250, 259, 271, 269]}, {\"cell\": \"0.774\", \"bbox\": [294, 259, 314, 269]}, {\"cell\": \"37.97\", \"bbox\": [337, 259, 357, 269]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [378, 259, 404, 269]}, {\"cell\": \"13.344\", \"bbox\": [422, 259, 447, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 259, 491, 269]}, {\"cell\": \" P) Possibility of litigation\", \"bbox\": [14, 269, 98, 279]}, {\"cell\": \"8.096\", \"bbox\": [250, 269, 271, 279]}, {\"cell\": \"0.088\", \"bbox\": [294, 269, 314, 279]}, {\"cell\": \"33.80\", \"bbox\": [337, 269, 357, 279]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [378, 270, 404, 279]}, {\"cell\": \"2.375\", \"bbox\": [424, 269, 445, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 269, 488, 279]}, {\"cell\": \" Q) Potential danger from animals\", \"bbox\": [14, 280, 128, 289]}, {\"cell\": \"3.514\", \"bbox\": [250, 280, 270, 289]}, {\"cell\": \"0.476\", \"bbox\": [294, 280, 314, 289]}, {\"cell\": \"29.01\", \"bbox\": [337, 280, 357, 289]}, {\"cell\": \"<b>0.004*</b>\", \"bbox\": [378, 280, 404, 289]}, {\"cell\": \"5.608\", \"bbox\": [424, 280, 445, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 280, 488, 289]}, {\"cell\": \" R) Potential danger from zoonotic diseases\", \"bbox\": [14, 290, 160, 300]}, {\"cell\": \"1.570\", \"bbox\": [250, 290, 270, 300]}, {\"cell\": \"0.814\", \"bbox\": [294, 290, 314, 300]}, {\"cell\": \"23.97\", \"bbox\": [337, 290, 357, 300]}, {\"cell\": \"<b>0.021*</b>\", \"bbox\": [378, 290, 404, 300]}, {\"cell\": \"1.701\", \"bbox\": [424, 290, 445, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [468, 290, 488, 300]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2797516_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}678{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Participant Characteristics</b></td><td><b>Sample</b></td><td><b>Control</b></td><td><b>TRM</b></td><td><b>p-value</b></td></tr><tr><td><b>Demographics</b></td><td><b>n = 117</b></td><td><b>n = 58</b></td><td><b>n = 59</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Age, y, mean (SD)</td><td>67.4 (6.7)</td><td>67.4 (6.7)</td><td>68.5 (6.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Sex, no. (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Male</td><td>27 (23.1)</td><td>17 (29.4)</td><td>10 (16.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Marital Status, no. (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Married/Common Law</td><td>45 (38.5)</td><td>21 (36.2)</td><td>24 (40.7)</td><td>[EMPTY_CELL]</td></tr><tr><td> Widowed/Separated/Divorced</td><td>44 (37.6)</td><td>21 (36.2)</td><td>23 (38.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Single</td><td>28 (23.9)</td><td>16 (27.6)</td><td>12 (20.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Education, no. (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> High School (or less)</td><td>21 (17.9)</td><td>13 (22.4)</td><td>8 (13.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> College/Trade School/University</td><td>96 (82.1)</td><td>45 (77.6)</td><td>51 (86.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Health-Related Variable, mean (SD)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> BMI (Kg/m^2)</td><td>24.8 (4.5)</td><td>25.1 (4.3)</td><td>25.6 (4.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> MMSE (/30)</td><td>29.3 (1.1)</td><td>29.1 (1.3)</td><td>29.4 (0.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> Braden Pressure Ulcer Risk (/23)</td><td>22.8 (0.4)</td><td>22.9 (0.4)</td><td>22.8 (0.4)</td><td>[EMPTY_CELL]</td></tr><tr><td> Functional Comorbidity Index (/18)</td><td>2.2 (1.6)</td><td>1.8 (1.3)</td><td>2.5 (1.8)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Participant Characteristics</b>\", \"bbox\": [1, 4, 92, 13]}, {\"cell\": \"<b>Sample</b>\", \"bbox\": [183, 4, 211, 13]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [274, 4, 302, 13]}, {\"cell\": \"<b>TRM</b>\", \"bbox\": [366, 4, 383, 13]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"<b>Demographics</b>\", \"bbox\": [1, 17, 53, 26]}, {\"cell\": \"<b>n = 117</b>\", \"bbox\": [183, 17, 210, 26]}, {\"cell\": \"<b>n = 58</b>\", \"bbox\": [274, 17, 297, 26]}, {\"cell\": \"<b>n = 59</b>\", \"bbox\": [366, 17, 388, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age, y, mean (SD)\", \"bbox\": [1, 30, 60, 40]}, {\"cell\": \"67.4 (6.7)\", \"bbox\": [183, 30, 214, 40]}, {\"cell\": \"67.4 (6.7)\", \"bbox\": [274, 30, 305, 40]}, {\"cell\": \"68.5 (6.3)\", \"bbox\": [366, 30, 396, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 30, 472, 40]}, {\"cell\": \"Sex, no. (%)\", \"bbox\": [1, 43, 39, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 43, 472, 53]}, {\"cell\": \" Male\", \"bbox\": [8, 57, 26, 66]}, {\"cell\": \"27 (23.1)\", \"bbox\": [183, 57, 212, 66]}, {\"cell\": \"17 (29.4)\", \"bbox\": [274, 57, 304, 66]}, {\"cell\": \"10 (16.9)\", \"bbox\": [366, 57, 395, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Marital Status, no. (%)\", \"bbox\": [1, 70, 71, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 70, 472, 79]}, {\"cell\": \" Married/Common Law\", \"bbox\": [8, 83, 83, 92]}, {\"cell\": \"45 (38.5)\", \"bbox\": [183, 83, 212, 92]}, {\"cell\": \"21 (36.2)\", \"bbox\": [274, 83, 304, 92]}, {\"cell\": \"24 (40.7)\", \"bbox\": [366, 83, 395, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Widowed/Separated/Divorced\", \"bbox\": [8, 96, 107, 105]}, {\"cell\": \"44 (37.6)\", \"bbox\": [183, 96, 212, 105]}, {\"cell\": \"21 (36.2)\", \"bbox\": [274, 96, 304, 105]}, {\"cell\": \"23 (38.0)\", \"bbox\": [366, 96, 395, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Single\", \"bbox\": [8, 109, 30, 119]}, {\"cell\": \"28 (23.9)\", \"bbox\": [183, 109, 212, 119]}, {\"cell\": \"16 (27.6)\", \"bbox\": [274, 109, 304, 119]}, {\"cell\": \"12 (20.3)\", \"bbox\": [366, 109, 395, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education, no. (%)\", \"bbox\": [1, 122, 60, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 122, 472, 132]}, {\"cell\": \" High School (or less)\", \"bbox\": [8, 135, 76, 145]}, {\"cell\": \"21 (17.9)\", \"bbox\": [183, 135, 212, 145]}, {\"cell\": \"13 (22.4)\", \"bbox\": [274, 135, 304, 145]}, {\"cell\": \"8 (13.6)\", \"bbox\": [366, 135, 391, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" College/Trade School/University\", \"bbox\": [8, 149, 113, 158]}, {\"cell\": \"96 (82.1)\", \"bbox\": [183, 149, 212, 158]}, {\"cell\": \"45 (77.6)\", \"bbox\": [274, 149, 304, 158]}, {\"cell\": \"51 (86.4)\", \"bbox\": [366, 149, 395, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Health-Related Variable, mean (SD)\", \"bbox\": [1, 162, 114, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" BMI (Kg/m^2)\", \"bbox\": [8, 175, 55, 184]}, {\"cell\": \"24.8 (4.5)\", \"bbox\": [183, 175, 214, 184]}, {\"cell\": \"25.1 (4.3)\", \"bbox\": [274, 175, 305, 184]}, {\"cell\": \"25.6 (4.6)\", \"bbox\": [366, 175, 396, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 175, 472, 184]}, {\"cell\": \" MMSE (/30)\", \"bbox\": [8, 188, 47, 197]}, {\"cell\": \"29.3 (1.1)\", \"bbox\": [183, 188, 214, 197]}, {\"cell\": \"29.1 (1.3)\", \"bbox\": [274, 188, 305, 197]}, {\"cell\": \"29.4 (0.8)\", \"bbox\": [366, 188, 396, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 188, 472, 197]}, {\"cell\": \" Braden Pressure Ulcer Risk (/23)\", \"bbox\": [8, 201, 111, 211]}, {\"cell\": \"22.8 (0.4)\", \"bbox\": [183, 201, 214, 211]}, {\"cell\": \"22.9 (0.4)\", \"bbox\": [274, 201, 305, 211]}, {\"cell\": \"22.8 (0.4)\", \"bbox\": [366, 201, 396, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 201, 472, 211]}, {\"cell\": \" Functional Comorbidity Index (/18)\", \"bbox\": [8, 214, 123, 224]}, {\"cell\": \"2.2 (1.6)\", \"bbox\": [183, 214, 210, 224]}, {\"cell\": \"1.8 (1.3)\", \"bbox\": [274, 214, 301, 224]}, {\"cell\": \"2.5 (1.8)\", \"bbox\": [366, 214, 392, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 214, 475, 224]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3538673_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}679{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Controls N = 202</b></td><td><b>Cases N = 202</b></td><td><b>OR</b></td><td><b>95% CI</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">Shrimp</td></tr><tr><td> Average</td><td>84</td><td>73</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td> Much preferred</td><td>13</td><td>44</td><td>[EMPTY_CELL]</td><td>1.95–7.79</td><td><i><0.001</i><b>*</b></td></tr><tr><td> Preferred</td><td>53</td><td>60</td><td>[EMPTY_CELL]</td><td>0.80–2.12</td><td>0.285</td></tr><tr><td> Not preferred</td><td>38</td><td>19</td><td>[EMPTY_CELL]</td><td>0.31–1.08</td><td>0.086</td></tr><tr><td> Not preferred much</td><td>14</td><td>5</td><td>[EMPTY_CELL]</td><td>0.14–1.20</td><td>0.094</td></tr><tr><td colspan=\\\"6\\\">Shellfish</td></tr><tr><td> Average</td><td>97</td><td>73</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td> Much preferred</td><td>9</td><td>31</td><td>[EMPTY_CELL]</td><td>2.05–10.21</td><td>[EMPTY_CELL]</td></tr><tr><td> Preferred</td><td>37</td><td>56</td><td>[EMPTY_CELL]</td><td>1.20–3.36</td><td><i>0.007*</i></td></tr><tr><td> Not preferred</td><td>48</td><td>39</td><td>[EMPTY_CELL]</td><td>0.64–1.82</td><td>0.773</td></tr><tr><td> Not preferred much</td><td>11</td><td>3</td><td>[EMPTY_CELL]</td><td>0.10–1.35</td><td>0.116</td></tr><tr><td colspan=\\\"6\\\">Soft drinks</td></tr><tr><td> Average</td><td>65</td><td>72</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td> Much preferred</td><td>3</td><td>10</td><td>[EMPTY_CELL]</td><td>0.79–11.41</td><td>0.092</td></tr><tr><td> Preferred</td><td>10</td><td>30</td><td>[EMPTY_CELL]</td><td>1.23–5.97</td><td><i>0.011*</i></td></tr><tr><td> Not preferred</td><td>92</td><td>65</td><td>[EMPTY_CELL]</td><td>0.40–1.01</td><td>0.056</td></tr><tr><td> Not preferred much</td><td>31</td><td>24</td><td>[EMPTY_CELL]</td><td>0.37–1.31</td><td>0.264</td></tr><tr><td colspan=\\\"6\\\">Milk</td></tr><tr><td> Average</td><td>91</td><td>90</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td> Much preferred</td><td>10</td><td>25</td><td>[EMPTY_CELL]</td><td>1.15–5.57</td><td><i>0.018*</i></td></tr><tr><td> Preferred</td><td>49</td><td>37</td><td>[EMPTY_CELL]</td><td>0.46–1.28</td><td>0.306</td></tr><tr><td> Not preferred</td><td>35</td><td>43</td><td>[EMPTY_CELL]</td><td>0.73–2.12</td><td>0.425</td></tr><tr><td> Not preferred much</td><td>17</td><td>7</td><td>[EMPTY_CELL]</td><td>0.17–1.05</td><td>0.058</td></tr><tr><td colspan=\\\"6\\\">Popcorn/fries</td></tr><tr><td> Average</td><td>79</td><td>86</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td> Much preferred</td><td>3</td><td>15</td><td>[EMPTY_CELL]</td><td>1.28–16.46</td><td><i>0.011*</i></td></tr><tr><td> Preferred</td><td>34</td><td>32</td><td>[EMPTY_CELL]</td><td>0.49–1.53</td><td>0.618</td></tr><tr><td> Not preferred</td><td>57</td><td>46</td><td>[EMPTY_CELL]</td><td>0.45–1.22</td><td>0.235</td></tr><tr><td> Not preferred much</td><td>29</td><td>23</td><td>[EMPTY_CELL]</td><td>0.39–1.36</td><td>0.321</td></tr><tr><td colspan=\\\"5\\\">Nuts</td><td>[EMPTY_CELL]</td></tr><tr><td> Average</td><td>64</td><td>88</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td> Much preferred</td><td>39</td><td>26</td><td>[EMPTY_CELL]</td><td>0.27–0.88</td><td><i>0.016*</i></td></tr><tr><td> Preferred</td><td>84</td><td>65</td><td>[EMPTY_CELL]</td><td>0.36–0.89</td><td><i>0.013*</i></td></tr><tr><td> Not preferred</td><td>10</td><td>18</td><td>[EMPTY_CELL]</td><td>0.57–3.02</td><td>0.528</td></tr><tr><td> Not preferred much</td><td>5</td><td>5</td><td>[EMPTY_CELL]</td><td>0.20–2.62</td><td>0.745</td></tr><tr><td colspan=\\\"6\\\">Products made from bean</td></tr><tr><td> Average</td><td>39</td><td>67</td><td>[EMPTY_CELL]</td><td>Reference</td><td>[EMPTY_CELL]</td></tr><tr><td> Much preferred</td><td>53</td><td>39</td><td>[EMPTY_CELL]</td><td>0.24–0.76</td><td><i>0.003*</i></td></tr><tr><td> Preferred</td><td>103</td><td>87</td><td>[EMPTY_CELL]</td><td>0.30–0.80</td><td><i>0.004*</i></td></tr><tr><td> Not preferred</td><td>5</td><td>8</td><td>[EMPTY_CELL]</td><td>0.29–3.05</td><td>1.000</td></tr><tr><td> Not preferred much</td><td>2</td><td>1</td><td>[EMPTY_CELL]</td><td>0.026–3.32</td><td>0.555</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Controls N = 202</b>\", \"bbox\": [118, 4, 178, 12]}, {\"cell\": \"<b>Cases N = 202</b>\", \"bbox\": [216, 4, 266, 12]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [301, 4, 313, 12]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [375, 4, 400, 12]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [458, 4, 484, 12]}, {\"cell\": \"Shrimp\", \"bbox\": [1, 22, 26, 32]}, {\"cell\": \" Average\", \"bbox\": [5, 34, 33, 44]}, {\"cell\": \"84\", \"bbox\": [121, 34, 131, 44]}, {\"cell\": \"73\", \"bbox\": [216, 34, 225, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 34, 316, 44]}, {\"cell\": \"Reference\", \"bbox\": [375, 34, 408, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 46, 57, 56]}, {\"cell\": \"13\", \"bbox\": [121, 46, 131, 56]}, {\"cell\": \"44\", \"bbox\": [216, 46, 225, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 46, 316, 56]}, {\"cell\": \"1.95–7.79\", \"bbox\": [375, 46, 407, 56]}, {\"cell\": \"<i><0.001</i><b>*</b>\", \"bbox\": [458, 47, 484, 54]}, {\"cell\": \" Preferred\", \"bbox\": [5, 58, 36, 68]}, {\"cell\": \"53\", \"bbox\": [121, 58, 131, 68]}, {\"cell\": \"60\", \"bbox\": [215, 58, 225, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 58, 316, 68]}, {\"cell\": \"0.80–2.12\", \"bbox\": [374, 58, 407, 68]}, {\"cell\": \"0.285\", \"bbox\": [462, 58, 481, 68]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 71, 50, 80]}, {\"cell\": \"38\", \"bbox\": [121, 71, 131, 80]}, {\"cell\": \"19\", \"bbox\": [216, 71, 225, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 71, 316, 80]}, {\"cell\": \"0.31–1.08\", \"bbox\": [375, 71, 407, 80]}, {\"cell\": \"0.086\", \"bbox\": [462, 71, 481, 80]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 83, 71, 92]}, {\"cell\": \"14\", \"bbox\": [121, 83, 131, 92]}, {\"cell\": \"5\", \"bbox\": [219, 83, 225, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 83, 316, 92]}, {\"cell\": \"0.14–1.20\", \"bbox\": [375, 83, 407, 92]}, {\"cell\": \"0.094\", \"bbox\": [462, 83, 481, 92]}, {\"cell\": \"Shellfish\", \"bbox\": [1, 95, 29, 104]}, {\"cell\": \" Average\", \"bbox\": [5, 107, 33, 116]}, {\"cell\": \"97\", \"bbox\": [121, 107, 131, 116]}, {\"cell\": \"73\", \"bbox\": [216, 107, 225, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 107, 316, 116]}, {\"cell\": \"Reference\", \"bbox\": [375, 107, 408, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 119, 57, 128]}, {\"cell\": \"9\", \"bbox\": [125, 119, 131, 128]}, {\"cell\": \"31\", \"bbox\": [215, 119, 225, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 119, 316, 128]}, {\"cell\": \"2.05–10.21\", \"bbox\": [374, 119, 411, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 119, 484, 127]}, {\"cell\": \" Preferred\", \"bbox\": [5, 131, 36, 140]}, {\"cell\": \"37\", \"bbox\": [121, 131, 131, 140]}, {\"cell\": \"56\", \"bbox\": [215, 131, 225, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 131, 316, 140]}, {\"cell\": \"1.20–3.36\", \"bbox\": [374, 131, 407, 140]}, {\"cell\": \"<i>0.007*</i>\", \"bbox\": [462, 131, 484, 139]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 143, 50, 153]}, {\"cell\": \"48\", \"bbox\": [121, 143, 131, 153]}, {\"cell\": \"39\", \"bbox\": [216, 143, 225, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 143, 316, 153]}, {\"cell\": \"0.64–1.82\", \"bbox\": [375, 143, 407, 153]}, {\"cell\": \"0.773\", \"bbox\": [462, 143, 481, 153]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 155, 71, 165]}, {\"cell\": \"11\", \"bbox\": [121, 155, 131, 165]}, {\"cell\": \"3\", \"bbox\": [219, 155, 225, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 155, 316, 165]}, {\"cell\": \"0.10–1.35\", \"bbox\": [375, 155, 407, 165]}, {\"cell\": \"0.116\", \"bbox\": [462, 155, 481, 165]}, {\"cell\": \"Soft drinks\", \"bbox\": [1, 167, 36, 177]}, {\"cell\": \" Average\", \"bbox\": [5, 179, 33, 189]}, {\"cell\": \"65\", \"bbox\": [121, 179, 131, 189]}, {\"cell\": \"72\", \"bbox\": [216, 179, 225, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 179, 316, 189]}, {\"cell\": \"Reference\", \"bbox\": [375, 179, 408, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 192, 57, 201]}, {\"cell\": \"3\", \"bbox\": [125, 192, 131, 201]}, {\"cell\": \"10\", \"bbox\": [215, 192, 225, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 192, 316, 201]}, {\"cell\": \"0.79–11.41\", \"bbox\": [374, 192, 411, 201]}, {\"cell\": \"0.092\", \"bbox\": [462, 192, 481, 201]}, {\"cell\": \" Preferred\", \"bbox\": [5, 204, 36, 213]}, {\"cell\": \"10\", \"bbox\": [121, 204, 131, 213]}, {\"cell\": \"30\", \"bbox\": [215, 204, 225, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 204, 316, 213]}, {\"cell\": \"1.23–5.97\", \"bbox\": [374, 204, 407, 213]}, {\"cell\": \"<i>0.011*</i>\", \"bbox\": [462, 204, 484, 211]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 216, 50, 225]}, {\"cell\": \"92\", \"bbox\": [121, 216, 131, 225]}, {\"cell\": \"65\", \"bbox\": [216, 216, 225, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 216, 316, 225]}, {\"cell\": \"0.40–1.01\", \"bbox\": [375, 216, 407, 225]}, {\"cell\": \"0.056\", \"bbox\": [462, 216, 481, 225]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 228, 71, 237]}, {\"cell\": \"31\", \"bbox\": [121, 228, 131, 237]}, {\"cell\": \"24\", \"bbox\": [216, 228, 225, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 228, 316, 237]}, {\"cell\": \"0.37–1.31\", \"bbox\": [375, 228, 407, 237]}, {\"cell\": \"0.264\", \"bbox\": [462, 228, 481, 237]}, {\"cell\": \"Milk\", \"bbox\": [1, 240, 16, 249]}, {\"cell\": \" Average\", \"bbox\": [5, 252, 33, 261]}, {\"cell\": \"91\", \"bbox\": [121, 252, 131, 261]}, {\"cell\": \"90\", \"bbox\": [216, 252, 225, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 252, 316, 261]}, {\"cell\": \"Reference\", \"bbox\": [375, 252, 408, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 264, 57, 274]}, {\"cell\": \"10\", \"bbox\": [121, 264, 131, 274]}, {\"cell\": \"25\", \"bbox\": [216, 264, 225, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 264, 316, 274]}, {\"cell\": \"1.15–5.57\", \"bbox\": [375, 264, 407, 274]}, {\"cell\": \"<i>0.018*</i>\", \"bbox\": [462, 264, 484, 272]}, {\"cell\": \" Preferred\", \"bbox\": [5, 276, 36, 286]}, {\"cell\": \"49\", \"bbox\": [121, 276, 131, 286]}, {\"cell\": \"37\", \"bbox\": [215, 276, 225, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 276, 316, 286]}, {\"cell\": \"0.46–1.28\", \"bbox\": [374, 276, 407, 286]}, {\"cell\": \"0.306\", \"bbox\": [462, 276, 481, 286]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 288, 50, 298]}, {\"cell\": \"35\", \"bbox\": [121, 288, 131, 298]}, {\"cell\": \"43\", \"bbox\": [216, 288, 225, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 288, 316, 298]}, {\"cell\": \"0.73–2.12\", \"bbox\": [375, 288, 407, 298]}, {\"cell\": \"0.425\", \"bbox\": [462, 288, 481, 298]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 300, 71, 310]}, {\"cell\": \"17\", \"bbox\": [121, 300, 131, 310]}, {\"cell\": \"7\", \"bbox\": [219, 300, 225, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 300, 316, 310]}, {\"cell\": \"0.17–1.05\", \"bbox\": [375, 300, 407, 310]}, {\"cell\": \"0.058\", \"bbox\": [462, 300, 481, 310]}, {\"cell\": \"Popcorn/fries\", \"bbox\": [1, 312, 45, 322]}, {\"cell\": \" Average\", \"bbox\": [5, 325, 33, 334]}, {\"cell\": \"79\", \"bbox\": [121, 325, 131, 334]}, {\"cell\": \"86\", \"bbox\": [216, 325, 225, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 325, 316, 334]}, {\"cell\": \"Reference\", \"bbox\": [375, 325, 408, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 337, 57, 346]}, {\"cell\": \"3\", \"bbox\": [125, 337, 131, 346]}, {\"cell\": \"15\", \"bbox\": [215, 337, 225, 346]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 337, 316, 346]}, {\"cell\": \"1.28–16.46\", \"bbox\": [374, 337, 411, 346]}, {\"cell\": \"<i>0.011*</i>\", \"bbox\": [462, 337, 484, 345]}, {\"cell\": \" Preferred\", \"bbox\": [5, 349, 36, 358]}, {\"cell\": \"34\", \"bbox\": [121, 349, 131, 358]}, {\"cell\": \"32\", \"bbox\": [215, 349, 225, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 349, 316, 358]}, {\"cell\": \"0.49–1.53\", \"bbox\": [374, 349, 407, 358]}, {\"cell\": \"0.618\", \"bbox\": [462, 349, 481, 358]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 361, 50, 370]}, {\"cell\": \"57\", \"bbox\": [121, 361, 131, 370]}, {\"cell\": \"46\", \"bbox\": [216, 361, 225, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 361, 316, 370]}, {\"cell\": \"0.45–1.22\", \"bbox\": [375, 361, 407, 370]}, {\"cell\": \"0.235\", \"bbox\": [462, 361, 481, 370]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 373, 71, 382]}, {\"cell\": \"29\", \"bbox\": [121, 373, 131, 382]}, {\"cell\": \"23\", \"bbox\": [216, 373, 225, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 373, 316, 382]}, {\"cell\": \"0.39–1.36\", \"bbox\": [375, 373, 407, 382]}, {\"cell\": \"0.321\", \"bbox\": [462, 373, 481, 382]}, {\"cell\": \"Nuts\", \"bbox\": [1, 385, 17, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Average\", \"bbox\": [5, 397, 33, 407]}, {\"cell\": \"64\", \"bbox\": [121, 397, 131, 407]}, {\"cell\": \"88\", \"bbox\": [216, 397, 225, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 397, 316, 407]}, {\"cell\": \"Reference\", \"bbox\": [375, 397, 408, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 409, 57, 419]}, {\"cell\": \"39\", \"bbox\": [121, 409, 131, 419]}, {\"cell\": \"26\", \"bbox\": [216, 409, 225, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 409, 316, 419]}, {\"cell\": \"0.27–0.88\", \"bbox\": [375, 409, 407, 419]}, {\"cell\": \"<i>0.016*</i>\", \"bbox\": [462, 409, 484, 417]}, {\"cell\": \" Preferred\", \"bbox\": [5, 421, 36, 431]}, {\"cell\": \"84\", \"bbox\": [121, 421, 131, 431]}, {\"cell\": \"65\", \"bbox\": [215, 421, 225, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 421, 316, 431]}, {\"cell\": \"0.36–0.89\", \"bbox\": [374, 421, 407, 431]}, {\"cell\": \"<i>0.013*</i>\", \"bbox\": [462, 422, 484, 429]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 433, 50, 443]}, {\"cell\": \"10\", \"bbox\": [121, 433, 131, 443]}, {\"cell\": \"18\", \"bbox\": [216, 433, 225, 443]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 433, 316, 443]}, {\"cell\": \"0.57–3.02\", \"bbox\": [375, 433, 407, 443]}, {\"cell\": \"0.528\", \"bbox\": [462, 433, 481, 443]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 446, 71, 455]}, {\"cell\": \"5\", \"bbox\": [125, 446, 131, 455]}, {\"cell\": \"5\", \"bbox\": [219, 446, 225, 455]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 446, 316, 455]}, {\"cell\": \"0.20–2.62\", \"bbox\": [375, 446, 407, 455]}, {\"cell\": \"0.745\", \"bbox\": [462, 446, 481, 455]}, {\"cell\": \"Products made from bean\", \"bbox\": [1, 458, 86, 467]}, {\"cell\": \" Average\", \"bbox\": [5, 470, 33, 479]}, {\"cell\": \"39\", \"bbox\": [121, 470, 131, 479]}, {\"cell\": \"67\", \"bbox\": [216, 470, 225, 479]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 470, 316, 479]}, {\"cell\": \"Reference\", \"bbox\": [375, 470, 408, 479]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Much preferred\", \"bbox\": [5, 482, 57, 491]}, {\"cell\": \"53\", \"bbox\": [121, 482, 131, 491]}, {\"cell\": \"39\", \"bbox\": [216, 482, 225, 491]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 482, 316, 491]}, {\"cell\": \"0.24–0.76\", \"bbox\": [375, 482, 407, 491]}, {\"cell\": \"<i>0.003*</i>\", \"bbox\": [462, 482, 484, 490]}, {\"cell\": \" Preferred\", \"bbox\": [5, 494, 36, 503]}, {\"cell\": \"103\", \"bbox\": [117, 494, 131, 503]}, {\"cell\": \"87\", \"bbox\": [215, 494, 225, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [300, 494, 316, 503]}, {\"cell\": \"0.30–0.80\", \"bbox\": [374, 494, 407, 503]}, {\"cell\": \"<i>0.004*</i>\", \"bbox\": [462, 494, 484, 502]}, {\"cell\": \" Not preferred\", \"bbox\": [5, 506, 50, 515]}, {\"cell\": \"5\", \"bbox\": [125, 506, 131, 515]}, {\"cell\": \"8\", \"bbox\": [219, 506, 225, 515]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 506, 316, 515]}, {\"cell\": \"0.29–3.05\", \"bbox\": [375, 506, 407, 515]}, {\"cell\": \"1.000\", \"bbox\": [462, 506, 481, 515]}, {\"cell\": \" Not preferred much\", \"bbox\": [5, 518, 71, 528]}, {\"cell\": \"2\", \"bbox\": [125, 518, 131, 528]}, {\"cell\": \"1\", \"bbox\": [219, 518, 225, 528]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 518, 316, 528]}, {\"cell\": \"0.026–3.32\", \"bbox\": [375, 518, 411, 528]}, {\"cell\": \"0.555\", \"bbox\": [462, 518, 481, 528]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5492296_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}680{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Patient No.</b></td><td><b>Age range</b></td><td><b>Comorbidity</b></td><td><b>SAB grade (WFNS)</b></td><td><b>Aneurysm location</b></td><td><b>Side</b></td><td><b>Probe placement</b></td><td><b>SEP monitoring</b></td><td><b>Pathological SEP?</b></td><td><b>Vasospasm/related neurological deficite?</b></td><td><b>mRS at discharge</b></td><td><b>mRS at 12 months</b></td></tr></thead><tbody><tr><td>1</td><td>3</td><td>AH</td><td>V</td><td>AcoA</td><td>L</td><td>temporal</td><td>Posterior tibial nerve</td><td>yes</td><td>no</td><td>5</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>2</td><td>AH</td><td>II</td><td>ACA</td><td>R</td><td>temporal</td><td>n.a.</td><td>n.a.</td><td>yes/no</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>2</td><td>AH</td><td>III</td><td>AcoA</td><td>L</td><td>frontal</td><td>Posterior tibial nerve</td><td>yes</td><td>yes/no</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>1</td><td>none</td><td>II</td><td>ACA</td><td>R</td><td>temporal</td><td>Posterior tibial nerve</td><td>no</td><td>yes/no</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>3</td><td>none</td><td>IV</td><td>AcoA</td><td>R</td><td>frontal</td><td>Posterior tibial nerve</td><td>yes</td><td>no</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>6</td><td>2</td><td>AH</td><td>II</td><td>MCA</td><td>R</td><td>temporal</td><td>Median nerve</td><td>no</td><td>no</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>7</td><td>1</td><td>none</td><td>IV</td><td>MCA</td><td>L</td><td>temporal</td><td>Median nerve</td><td>yes</td><td>no</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>8</td><td>3</td><td>AH</td><td>II</td><td>AcoA</td><td>L</td><td>temporal</td><td>Posterior tibial nerve</td><td>no</td><td>no</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>9</td><td>3</td><td>AH</td><td>V</td><td>AcoA</td><td>L</td><td>frontal</td><td>Posterior tibial nerve</td><td>yes</td><td>yes/yes</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>10</td><td>2</td><td>AH</td><td>III</td><td>MCA</td><td>R</td><td>temporal</td><td>Median nerve</td><td>yes</td><td>yes/no</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>11</td><td>3</td><td>AH</td><td>IV</td><td>MCA</td><td>R</td><td>temporal</td><td>Median nerve</td><td>no</td><td>yes/no</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>12</td><td>4</td><td>AH, CAD, HI</td><td>V</td><td>MCA</td><td>L</td><td>temporal</td><td>n.a.</td><td>n.a.</td><td>no</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>13</td><td>2</td><td>AH</td><td>II</td><td>MCA</td><td>R</td><td>frontal</td><td>Median nerve</td><td>yes</td><td>yes/no</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>14</td><td>1</td><td>AH</td><td>III</td><td>MCA</td><td>L</td><td>temporal</td><td>Median nerve</td><td>yes</td><td>yes/yes</td><td>3</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Patient No.</b>\", \"bbox\": [1, 4, 25, 22]}, {\"cell\": \"<b>Age range</b>\", \"bbox\": [29, 4, 50, 22]}, {\"cell\": \"<b>Comorbidity</b>\", \"bbox\": [54, 4, 96, 13]}, {\"cell\": \"<b>SAB grade (WFNS)</b>\", \"bbox\": [101, 4, 136, 22]}, {\"cell\": \"<b>Aneurysm location</b>\", \"bbox\": [140, 4, 174, 22]}, {\"cell\": \"<b>Side</b>\", \"bbox\": [179, 4, 194, 13]}, {\"cell\": \"<b>Probe placement</b>\", \"bbox\": [199, 4, 235, 22]}, {\"cell\": \"<b>SEP monitoring</b>\", \"bbox\": [240, 4, 277, 22]}, {\"cell\": \"<b>Pathological SEP?</b>\", \"bbox\": [290, 4, 331, 22]}, {\"cell\": \"<b>Vasospasm/related neurological deficite?</b>\", \"bbox\": [336, 4, 406, 22]}, {\"cell\": \"<b>mRS at discharge</b>\", \"bbox\": [411, 4, 443, 22]}, {\"cell\": \"<b>mRS at 12 months</b>\", \"bbox\": [448, 4, 484, 22]}, {\"cell\": \"1\", \"bbox\": [0, 26, 6, 36]}, {\"cell\": \"3\", \"bbox\": [29, 26, 35, 36]}, {\"cell\": \"AH\", \"bbox\": [54, 26, 66, 36]}, {\"cell\": \"V\", \"bbox\": [101, 26, 107, 36]}, {\"cell\": \"AcoA\", \"bbox\": [140, 26, 159, 36]}, {\"cell\": \"L\", \"bbox\": [179, 26, 184, 36]}, {\"cell\": \"temporal\", \"bbox\": [199, 26, 230, 36]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 26, 277, 45]}, {\"cell\": \"yes\", \"bbox\": [290, 26, 302, 36]}, {\"cell\": \"no\", \"bbox\": [336, 26, 346, 36]}, {\"cell\": \"5\", \"bbox\": [411, 26, 416, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 26, 454, 36]}, {\"cell\": \"2\", \"bbox\": [0, 49, 6, 59]}, {\"cell\": \"2\", \"bbox\": [29, 49, 35, 59]}, {\"cell\": \"AH\", \"bbox\": [54, 49, 66, 59]}, {\"cell\": \"II\", \"bbox\": [101, 49, 106, 59]}, {\"cell\": \"ACA\", \"bbox\": [140, 49, 156, 59]}, {\"cell\": \"R\", \"bbox\": [179, 49, 185, 59]}, {\"cell\": \"temporal\", \"bbox\": [199, 49, 230, 59]}, {\"cell\": \"n.a.\", \"bbox\": [240, 49, 252, 59]}, {\"cell\": \"n.a.\", \"bbox\": [290, 49, 303, 59]}, {\"cell\": \"yes/no\", \"bbox\": [336, 49, 359, 59]}, {\"cell\": \"1\", \"bbox\": [411, 49, 416, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 49, 454, 59]}, {\"cell\": \"3\", \"bbox\": [0, 63, 6, 73]}, {\"cell\": \"2\", \"bbox\": [29, 63, 35, 73]}, {\"cell\": \"AH\", \"bbox\": [54, 63, 66, 73]}, {\"cell\": \"III\", \"bbox\": [101, 63, 107, 73]}, {\"cell\": \"AcoA\", \"bbox\": [140, 63, 159, 73]}, {\"cell\": \"L\", \"bbox\": [179, 63, 184, 73]}, {\"cell\": \"frontal\", \"bbox\": [199, 63, 222, 73]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 63, 277, 82]}, {\"cell\": \"yes\", \"bbox\": [290, 63, 302, 73]}, {\"cell\": \"yes/no\", \"bbox\": [336, 63, 359, 73]}, {\"cell\": \"2\", \"bbox\": [411, 63, 416, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 63, 454, 73]}, {\"cell\": \"4\", \"bbox\": [0, 86, 6, 96]}, {\"cell\": \"1\", \"bbox\": [29, 86, 35, 96]}, {\"cell\": \"none\", \"bbox\": [54, 86, 73, 96]}, {\"cell\": \"II\", \"bbox\": [101, 86, 106, 96]}, {\"cell\": \"ACA\", \"bbox\": [140, 86, 156, 96]}, {\"cell\": \"R\", \"bbox\": [179, 86, 185, 96]}, {\"cell\": \"temporal\", \"bbox\": [199, 86, 230, 96]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 86, 277, 105]}, {\"cell\": \"no\", \"bbox\": [290, 86, 301, 96]}, {\"cell\": \"yes/no\", \"bbox\": [336, 86, 359, 96]}, {\"cell\": \"0\", \"bbox\": [411, 86, 416, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 86, 454, 96]}, {\"cell\": \"5\", \"bbox\": [0, 109, 6, 119]}, {\"cell\": \"3\", \"bbox\": [29, 109, 35, 119]}, {\"cell\": \"none\", \"bbox\": [54, 109, 73, 119]}, {\"cell\": \"IV\", \"bbox\": [101, 109, 108, 119]}, {\"cell\": \"AcoA\", \"bbox\": [140, 109, 159, 119]}, {\"cell\": \"R\", \"bbox\": [179, 109, 185, 119]}, {\"cell\": \"frontal\", \"bbox\": [199, 109, 222, 119]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 109, 277, 128]}, {\"cell\": \"yes\", \"bbox\": [290, 109, 302, 119]}, {\"cell\": \"no\", \"bbox\": [336, 109, 346, 119]}, {\"cell\": \"2\", \"bbox\": [411, 109, 416, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 109, 454, 119]}, {\"cell\": \"6\", \"bbox\": [0, 132, 6, 142]}, {\"cell\": \"2\", \"bbox\": [29, 132, 35, 142]}, {\"cell\": \"AH\", \"bbox\": [54, 132, 66, 142]}, {\"cell\": \"II\", \"bbox\": [101, 132, 106, 142]}, {\"cell\": \"MCA\", \"bbox\": [140, 132, 158, 142]}, {\"cell\": \"R\", \"bbox\": [179, 132, 185, 142]}, {\"cell\": \"temporal\", \"bbox\": [199, 132, 230, 142]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 132, 286, 142]}, {\"cell\": \"no\", \"bbox\": [290, 132, 301, 142]}, {\"cell\": \"no\", \"bbox\": [336, 132, 346, 142]}, {\"cell\": \"2\", \"bbox\": [411, 132, 416, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 132, 454, 142]}, {\"cell\": \"7\", \"bbox\": [0, 146, 6, 156]}, {\"cell\": \"1\", \"bbox\": [29, 146, 35, 156]}, {\"cell\": \"none\", \"bbox\": [54, 146, 73, 156]}, {\"cell\": \"IV\", \"bbox\": [101, 146, 108, 156]}, {\"cell\": \"MCA\", \"bbox\": [140, 146, 158, 156]}, {\"cell\": \"L\", \"bbox\": [179, 146, 184, 156]}, {\"cell\": \"temporal\", \"bbox\": [199, 146, 230, 156]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 146, 286, 156]}, {\"cell\": \"yes\", \"bbox\": [290, 146, 302, 156]}, {\"cell\": \"no\", \"bbox\": [336, 146, 346, 156]}, {\"cell\": \"3\", \"bbox\": [411, 146, 416, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 146, 454, 156]}, {\"cell\": \"8\", \"bbox\": [0, 160, 6, 170]}, {\"cell\": \"3\", \"bbox\": [29, 160, 35, 170]}, {\"cell\": \"AH\", \"bbox\": [54, 160, 66, 170]}, {\"cell\": \"II\", \"bbox\": [101, 160, 106, 170]}, {\"cell\": \"AcoA\", \"bbox\": [140, 160, 159, 170]}, {\"cell\": \"L\", \"bbox\": [179, 160, 184, 170]}, {\"cell\": \"temporal\", \"bbox\": [199, 160, 230, 170]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 160, 277, 179]}, {\"cell\": \"no\", \"bbox\": [290, 160, 301, 170]}, {\"cell\": \"no\", \"bbox\": [336, 160, 346, 170]}, {\"cell\": \"1\", \"bbox\": [411, 160, 416, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 160, 454, 170]}, {\"cell\": \"9\", \"bbox\": [0, 183, 6, 193]}, {\"cell\": \"3\", \"bbox\": [29, 183, 35, 193]}, {\"cell\": \"AH\", \"bbox\": [54, 183, 66, 193]}, {\"cell\": \"V\", \"bbox\": [101, 183, 107, 193]}, {\"cell\": \"AcoA\", \"bbox\": [140, 183, 159, 193]}, {\"cell\": \"L\", \"bbox\": [179, 183, 184, 193]}, {\"cell\": \"frontal\", \"bbox\": [199, 183, 222, 193]}, {\"cell\": \"Posterior tibial nerve\", \"bbox\": [240, 183, 277, 202]}, {\"cell\": \"yes\", \"bbox\": [290, 183, 302, 193]}, {\"cell\": \"yes/yes\", \"bbox\": [336, 183, 361, 193]}, {\"cell\": \"6\", \"bbox\": [410, 183, 416, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 183, 454, 193]}, {\"cell\": \"10\", \"bbox\": [0, 206, 10, 216]}, {\"cell\": \"2\", \"bbox\": [29, 206, 35, 216]}, {\"cell\": \"AH\", \"bbox\": [54, 206, 66, 216]}, {\"cell\": \"III\", \"bbox\": [101, 206, 107, 216]}, {\"cell\": \"MCA\", \"bbox\": [140, 206, 158, 216]}, {\"cell\": \"R\", \"bbox\": [179, 206, 185, 216]}, {\"cell\": \"temporal\", \"bbox\": [199, 206, 230, 216]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 206, 286, 216]}, {\"cell\": \"yes\", \"bbox\": [290, 206, 302, 216]}, {\"cell\": \"yes/no\", \"bbox\": [336, 206, 359, 216]}, {\"cell\": \"4\", \"bbox\": [411, 206, 416, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 206, 454, 216]}, {\"cell\": \"11\", \"bbox\": [0, 220, 10, 230]}, {\"cell\": \"3\", \"bbox\": [29, 220, 35, 230]}, {\"cell\": \"AH\", \"bbox\": [54, 220, 66, 230]}, {\"cell\": \"IV\", \"bbox\": [101, 220, 108, 230]}, {\"cell\": \"MCA\", \"bbox\": [140, 220, 158, 230]}, {\"cell\": \"R\", \"bbox\": [179, 220, 185, 230]}, {\"cell\": \"temporal\", \"bbox\": [199, 220, 230, 230]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 220, 286, 230]}, {\"cell\": \"no\", \"bbox\": [290, 220, 301, 230]}, {\"cell\": \"yes/no\", \"bbox\": [336, 220, 359, 230]}, {\"cell\": \"1\", \"bbox\": [411, 220, 416, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 220, 454, 230]}, {\"cell\": \"12\", \"bbox\": [0, 234, 10, 244]}, {\"cell\": \"4\", \"bbox\": [29, 234, 35, 244]}, {\"cell\": \"AH, CAD, HI\", \"bbox\": [54, 234, 94, 244]}, {\"cell\": \"V\", \"bbox\": [101, 234, 107, 244]}, {\"cell\": \"MCA\", \"bbox\": [140, 234, 158, 244]}, {\"cell\": \"L\", \"bbox\": [179, 234, 184, 244]}, {\"cell\": \"temporal\", \"bbox\": [199, 234, 230, 244]}, {\"cell\": \"n.a.\", \"bbox\": [240, 234, 252, 244]}, {\"cell\": \"n.a.\", \"bbox\": [290, 234, 303, 244]}, {\"cell\": \"no\", \"bbox\": [336, 234, 346, 244]}, {\"cell\": \"6\", \"bbox\": [411, 234, 416, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 234, 454, 244]}, {\"cell\": \"13\", \"bbox\": [0, 248, 10, 258]}, {\"cell\": \"2\", \"bbox\": [29, 248, 35, 258]}, {\"cell\": \"AH\", \"bbox\": [54, 248, 66, 258]}, {\"cell\": \"II\", \"bbox\": [101, 248, 106, 258]}, {\"cell\": \"MCA\", \"bbox\": [140, 248, 158, 258]}, {\"cell\": \"R\", \"bbox\": [179, 248, 185, 258]}, {\"cell\": \"frontal\", \"bbox\": [199, 248, 222, 258]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 248, 286, 258]}, {\"cell\": \"yes\", \"bbox\": [290, 248, 302, 258]}, {\"cell\": \"yes/no\", \"bbox\": [336, 248, 359, 258]}, {\"cell\": \"1\", \"bbox\": [411, 248, 416, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 248, 454, 258]}, {\"cell\": \"14\", \"bbox\": [0, 262, 10, 272]}, {\"cell\": \"1\", \"bbox\": [29, 262, 35, 272]}, {\"cell\": \"AH\", \"bbox\": [54, 262, 66, 272]}, {\"cell\": \"III\", \"bbox\": [101, 262, 107, 272]}, {\"cell\": \"MCA\", \"bbox\": [140, 262, 158, 272]}, {\"cell\": \"L\", \"bbox\": [179, 262, 184, 272]}, {\"cell\": \"temporal\", \"bbox\": [199, 262, 230, 272]}, {\"cell\": \"Median nerve\", \"bbox\": [240, 262, 286, 272]}, {\"cell\": \"yes\", \"bbox\": [290, 262, 302, 272]}, {\"cell\": \"yes/yes\", \"bbox\": [336, 262, 361, 272]}, {\"cell\": \"3\", \"bbox\": [411, 262, 416, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 262, 454, 272]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5645977_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}681{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Screening tool items</b></td><td><b>“Yes” answers among true positive screens (n=10)</b></td><td><b>“Yes” answers among false positive screens (n=29)</b></td></tr></thead><tbody><tr><td>Do you have to ask permission to eat, sleep, use the bathroom, or go to the doctor?</td><td>[EMPTY_CELL]</td><td>2 (7%)</td></tr><tr><td>Were you (or anyone you work with) ever beaten, hit, yelled at, raped, threatened or made to feel physical pain for working slowly or for trying to leave?</td><td>[EMPTY_CELL]</td><td>18 (62%)</td></tr><tr><td>Has anyone threatened your family?</td><td>[EMPTY_CELL]</td><td>13 (45%)</td></tr><tr><td>Is anyone forcing you to do anything that you do not want to do?</td><td>[EMPTY_CELL]</td><td>1 (3%)</td></tr><tr><td>Do you owe your employer money?</td><td>[EMPTY_CELL]</td><td>1 (3%)</td></tr><tr><td>Does anyone force you to have sexual intercourse for your work?</td><td>[EMPTY_CELL]</td><td>1 (3%)</td></tr><tr><td>Is someone else in control of your money?</td><td>[EMPTY_CELL]</td><td>3 (10%)</td></tr><tr><td>Are you forced to work in your current job?</td><td>[EMPTY_CELL]</td><td>0 (0%)</td></tr><tr><td>Does someone else control whether you can leave your house or not?</td><td>[EMPTY_CELL]</td><td>1 (3%)</td></tr><tr><td>Are you kept from contacting your friends and/or family whenever you would like?</td><td>[EMPTY_CELL]</td><td>6 (21%)</td></tr><tr><td>Is someone else in control of your identification documents, passports, birth certificate, and other personal papers?</td><td>[EMPTY_CELL]</td><td>3 (10%)</td></tr><tr><td>Was someone else in control of arrangements for your travel to this country and your identification documents?</td><td>[EMPTY_CELL]</td><td>0 (0%)</td></tr><tr><td>Do you owe money to someone for travel to this country?</td><td>[EMPTY_CELL]</td><td>1 (3%)</td></tr><tr><td>Has anyone threatened you with deportation?</td><td>[EMPTY_CELL]</td><td>1 (3%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Screening tool items</b>\", \"bbox\": [117, 15, 201, 26]}, {\"cell\": \"<b>“Yes” answers among true positive screens (n=10)</b>\", \"bbox\": [321, 5, 424, 26]}, {\"cell\": \"<b>“Yes” answers among false positive screens (n=29)</b>\", \"bbox\": [432, 5, 538, 26]}, {\"cell\": \"Do you have to ask permission to eat, sleep, use the bathroom, or go to the doctor?\", \"bbox\": [5, 27, 304, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 38, 394, 52]}, {\"cell\": \"2 (7%)\", \"bbox\": [474, 38, 503, 52]}, {\"cell\": \"Were you (or anyone you work with) ever beaten, hit, yelled at, raped, threatened or made to feel physical pain for working slowly or for trying to leave?\", \"bbox\": [5, 53, 312, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [350, 64, 394, 77]}, {\"cell\": \"18 (62%)\", \"bbox\": [464, 64, 503, 77]}, {\"cell\": \"Has anyone threatened your family?\", \"bbox\": [5, 81, 151, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 78, 394, 92]}, {\"cell\": \"13 (45%)\", \"bbox\": [464, 78, 503, 92]}, {\"cell\": \"Is anyone forcing you to do anything that you do not want to do?\", \"bbox\": [5, 95, 262, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 93, 394, 107]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 93, 503, 107]}, {\"cell\": \"Do you owe your employer money?\", \"bbox\": [5, 110, 148, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 107, 394, 121]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 107, 503, 121]}, {\"cell\": \"Does anyone force you to have sexual intercourse for your work?\", \"bbox\": [5, 122, 266, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 122, 394, 136]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 122, 503, 136]}, {\"cell\": \"Is someone else in control of your money?\", \"bbox\": [5, 139, 176, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 136, 394, 150]}, {\"cell\": \"3 (10%)\", \"bbox\": [469, 136, 503, 150]}, {\"cell\": \"Are you forced to work in your current job?\", \"bbox\": [5, 151, 176, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 151, 394, 165]}, {\"cell\": \"0 (0%)\", \"bbox\": [474, 151, 503, 165]}, {\"cell\": \"Does someone else control whether you can leave your house or not?\", \"bbox\": [5, 168, 286, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 165, 394, 179]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 165, 503, 179]}, {\"cell\": \"Are you kept from contacting your friends and/or family whenever you would like?\", \"bbox\": [5, 180, 295, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 191, 394, 205]}, {\"cell\": \"6 (21%)\", \"bbox\": [469, 191, 503, 205]}, {\"cell\": \"Is someone else in control of your identification documents, passports, birth certificate, and other personal papers?\", \"bbox\": [5, 205, 307, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 216, 394, 230]}, {\"cell\": \"3 (10%)\", \"bbox\": [469, 216, 503, 230]}, {\"cell\": \"Was someone else in control of arrangements for your travel to this country and your identification documents?\", \"bbox\": [5, 231, 306, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 241, 394, 255]}, {\"cell\": \"0 (0%)\", \"bbox\": [474, 241, 503, 255]}, {\"cell\": \"Do you owe money to someone for travel to this country?\", \"bbox\": [5, 258, 234, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 256, 394, 270]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 256, 503, 270]}, {\"cell\": \"Has anyone threatened you with deportation?\", \"bbox\": [5, 273, 188, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 271, 394, 284]}, {\"cell\": \"1 (3%)\", \"bbox\": [474, 271, 503, 284]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5468066_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}682{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Bacterial exposure</b></td><td><b>Result category</b></td><td><b>Result</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td rowspan=\\\"6\\\">Farm effect</td><td rowspan=\\\"2\\\">Bacterial exposure</td><td>[EMPTY_CELL]</td><td>Protection against Allergy-STUdy in Rural Environments study (6)</td></tr><tr><td>Increased bacterial prevalence in mattress dust</td><td>Prevention of Allergy Risk factors for Sensitization In children related to Farming and Anthroposophic Lifestyle (7, 9); Genetic and Environmental Causes of Asthma in the European Community Advanced Study (8, 10)</td></tr><tr><td rowspan=\\\"2\\\">Fetal immune programming</td><td>Alterations in cord blood cytokines</td><td>[EMPTY_CELL]</td></tr><tr><td>Increased regulatory T lymphocytes (Tregs)</td><td>(15)</td></tr><tr><td rowspan=\\\"2\\\">Asthma</td><td>Decreased childhood asthma</td><td>[EMPTY_CELL]</td></tr><tr><td>Decreased offspring asthma</td><td>(17)</td></tr><tr><td rowspan=\\\"5\\\">Prebiotic short-chain galactooligosaccharides/long-chain fructooligosaccharides</td><td>Fecal microbiome</td><td>[EMPTY_CELL]</td><td>(26)</td></tr><tr><td rowspan=\\\"2\\\">Immune function in other autoimmune conditions</td><td rowspan=\\\"2\\\">Increased T-helper 1 interferon-gamma productionTreg induction</td><td>[EMPTY_CELL]</td></tr><tr><td>(22, 24)</td></tr><tr><td rowspan=\\\"2\\\">Asthma</td><td>Maternal supplementation associated with improved offspring lung function in mice</td><td>[EMPTY_CELL]</td></tr><tr><td>Supplementation in infants from birth associated with decreased childhood wheeze</td><td>(28)</td></tr><tr><td rowspan=\\\"4\\\">Probiotics</td><td rowspan=\\\"2\\\">Fecal colonization</td><td>[EMPTY_CELL]</td><td>(29, 30)</td></tr><tr><td>No maternal transfer of colonization</td><td>(31) (meta-analysis)</td></tr><tr><td>Immune function</td><td>Alterations in breast milk cytokines</td><td>[EMPTY_CELL]</td></tr><tr><td>Asthma</td><td>No associations found maternal supplementation with offspring asthma</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Antibiotics</td><td>Fecal microbiome</td><td>[EMPTY_CELL]</td><td>(48–50)</td></tr><tr><td rowspan=\\\"2\\\">Asthma</td><td>Childhood use associated with increased childhood asthma</td><td>[EMPTY_CELL]</td></tr><tr><td>Maternal use during pregnancy associated with increased offspring asthma</td><td>(53, 56)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Bacterial exposure</b>\", \"bbox\": [0, 6, 65, 15]}, {\"cell\": \"<b>Result category</b>\", \"bbox\": [87, 6, 141, 15]}, {\"cell\": \"<b>Result</b>\", \"bbox\": [155, 6, 178, 15]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [391, 6, 428, 15]}, {\"cell\": \"Farm effect\", \"bbox\": [1, 23, 36, 32]}, {\"cell\": \"Bacterial exposure\", \"bbox\": [87, 23, 144, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 23, 275, 32]}, {\"cell\": \"Protection against Allergy-STUdy in Rural Environments study (6)\", \"bbox\": [392, 23, 500, 41]}, {\"cell\": \"Increased bacterial prevalence in mattress dust\", \"bbox\": [155, 44, 298, 53]}, {\"cell\": \"Prevention of Allergy Risk factors for Sensitization In children related to Farming and Anthroposophic Lifestyle (7, 9); Genetic and Environmental Causes of Asthma in the European Community Advanced Study (8, 10)\", \"bbox\": [392, 44, 507, 100]}, {\"cell\": \"Fetal immune programming\", \"bbox\": [87, 103, 129, 121]}, {\"cell\": \"Alterations in cord blood cytokines\", \"bbox\": [155, 103, 261, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 103, 405, 112]}, {\"cell\": \"Increased regulatory T lymphocytes (Tregs)\", \"bbox\": [155, 115, 285, 123]}, {\"cell\": \"(15)\", \"bbox\": [392, 115, 405, 123]}, {\"cell\": \"Asthma\", \"bbox\": [87, 126, 112, 135]}, {\"cell\": \"Decreased childhood asthma\", \"bbox\": [155, 126, 245, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 126, 452, 135]}, {\"cell\": \"Decreased offspring asthma\", \"bbox\": [155, 138, 242, 146]}, {\"cell\": \"(17)\", \"bbox\": [392, 138, 405, 146]}, {\"cell\": \"Prebiotic short-chain galactooligosaccharides/long-chain fructooligosaccharides\", \"bbox\": [1, 153, 77, 190]}, {\"cell\": \"Fecal microbiome\", \"bbox\": [87, 153, 142, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 153, 357, 162]}, {\"cell\": \"(26)\", \"bbox\": [392, 153, 405, 162]}, {\"cell\": \"Immune function in other autoimmune conditions\", \"bbox\": [87, 165, 146, 192]}, {\"cell\": \"Increased T-helper 1 interferon-gamma productionTreg induction\", \"bbox\": [155, 165, 308, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 165, 416, 173]}, {\"cell\": \"(22, 24)\", \"bbox\": [392, 176, 416, 185]}, {\"cell\": \"Asthma\", \"bbox\": [87, 195, 112, 204]}, {\"cell\": \"Maternal supplementation associated with improved offspring lung function in mice\", \"bbox\": [155, 195, 382, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 195, 405, 204]}, {\"cell\": \"Supplementation in infants from birth associated with decreased childhood wheeze\", \"bbox\": [155, 216, 381, 234]}, {\"cell\": \"(28)\", \"bbox\": [392, 216, 405, 225]}, {\"cell\": \"Probiotics\", \"bbox\": [1, 242, 33, 250]}, {\"cell\": \"Fecal colonization\", \"bbox\": [87, 242, 142, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 242, 289, 250]}, {\"cell\": \"(29, 30)\", \"bbox\": [392, 242, 416, 250]}, {\"cell\": \"No maternal transfer of colonization\", \"bbox\": [155, 253, 264, 262]}, {\"cell\": \"(31) (meta-analysis)\", \"bbox\": [392, 253, 451, 262]}, {\"cell\": \"Immune function\", \"bbox\": [87, 269, 139, 277]}, {\"cell\": \"Alterations in breast milk cytokines\", \"bbox\": [155, 269, 261, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 269, 416, 277]}, {\"cell\": \"Asthma\", \"bbox\": [87, 284, 112, 293]}, {\"cell\": \"No associations found maternal supplementation with offspring asthma\", \"bbox\": [155, 284, 371, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 284, 451, 293]}, {\"cell\": \"Antibiotics\", \"bbox\": [1, 300, 34, 308]}, {\"cell\": \"Fecal microbiome\", \"bbox\": [87, 300, 142, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 300, 251, 308]}, {\"cell\": \"(48–50)\", \"bbox\": [392, 300, 416, 308]}, {\"cell\": \"Asthma\", \"bbox\": [87, 311, 112, 320]}, {\"cell\": \"Childhood use associated with increased childhood asthma\", \"bbox\": [155, 311, 336, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 311, 416, 320]}, {\"cell\": \"Maternal use during pregnancy associated with increased offspring asthma\", \"bbox\": [155, 323, 382, 331]}, {\"cell\": \"(53, 56)\", \"bbox\": [392, 323, 416, 331]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5374203_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}683{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene description</b></td><td><b>Fold change</b></td><td><b>Gene description</b></td><td><b>Fold change</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>18.61</td><td>fibrinogen α</td><td>6.65</td></tr><tr><td>[EMPTY_CELL]</td><td>4.77</td><td>forkhead transcription factor FOXO1A</td><td>5.22</td></tr><tr><td>[EMPTY_CELL]</td><td>0.41</td><td>immediate early response 5 (IER-5)</td><td>7.72</td></tr><tr><td>[EMPTY_CELL]</td><td>22.04</td><td>karyopherin alpha (importin 5)</td><td>0.54</td></tr><tr><td>[EMPTY_CELL]</td><td>9.47</td><td>mt translational release factor 1 (MTRF 1)</td><td>9,68</td></tr><tr><td>[EMPTY_CELL]</td><td>22.03</td><td>myocyte enhancer factor 2 (MEF2)</td><td>13.77</td></tr><tr><td>[EMPTY_CELL]</td><td>15.4</td><td>myosin regulatory light chain (MYLC)</td><td>5.63</td></tr><tr><td>[EMPTY_CELL]</td><td>16.72</td><td>myosin heavy chain 7 (MYH7)</td><td>4.54</td></tr><tr><td>[EMPTY_CELL]</td><td>6.54</td><td>NK transcript (IL-32)</td><td>6.1</td></tr><tr><td>[EMPTY_CELL]</td><td>3.46</td><td>synaptopodin (SYNPO)</td><td>1.79</td></tr><tr><td>[EMPTY_CELL]</td><td>2.3</td><td>titin</td><td>4.19</td></tr><tr><td>[EMPTY_CELL]</td><td>5.28</td><td>vimentin</td><td>2.39</td></tr><tr><td>[EMPTY_CELL]</td><td>61.14</td><td>vinculin</td><td>2.68</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene description</b>\", \"bbox\": [1, 4, 62, 13]}, {\"cell\": \"<b>Fold change</b>\", \"bbox\": [180, 4, 224, 13]}, {\"cell\": \"<b>Gene description</b>\", \"bbox\": [302, 4, 363, 13]}, {\"cell\": \"<b>Fold change</b>\", \"bbox\": [440, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 71, 27]}, {\"cell\": \"18.61\", \"bbox\": [180, 17, 198, 27]}, {\"cell\": \"fibrinogen α\", \"bbox\": [266, 17, 307, 27]}, {\"cell\": \"6.65\", \"bbox\": [440, 17, 455, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 58, 41]}, {\"cell\": \"4.77\", \"bbox\": [184, 31, 198, 41]}, {\"cell\": \"forkhead transcription factor FOXO1A\", \"bbox\": [266, 31, 388, 41]}, {\"cell\": \"5.22\", \"bbox\": [440, 31, 455, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 25, 55]}, {\"cell\": \"0.41\", \"bbox\": [184, 45, 198, 55]}, {\"cell\": \"immediate early response 5 (IER-5)\", \"bbox\": [266, 45, 378, 55]}, {\"cell\": \"7.72\", \"bbox\": [440, 45, 455, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 31, 69]}, {\"cell\": \"22.04\", \"bbox\": [180, 59, 198, 69]}, {\"cell\": \"karyopherin alpha (importin 5)\", \"bbox\": [266, 59, 365, 69]}, {\"cell\": \"0.54\", \"bbox\": [440, 59, 455, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 106, 83]}, {\"cell\": \"9.47\", \"bbox\": [184, 73, 198, 83]}, {\"cell\": \"mt translational release factor 1 (MTRF 1)\", \"bbox\": [266, 73, 399, 83]}, {\"cell\": \"9,68\", \"bbox\": [440, 73, 455, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 50, 97]}, {\"cell\": \"22.03\", \"bbox\": [180, 87, 198, 97]}, {\"cell\": \"myocyte enhancer factor 2 (MEF2)\", \"bbox\": [266, 87, 378, 97]}, {\"cell\": \"13.77\", \"bbox\": [440, 87, 458, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 121, 111]}, {\"cell\": \"15.4\", \"bbox\": [180, 101, 195, 111]}, {\"cell\": \"myosin regulatory light chain (MYLC)\", \"bbox\": [266, 101, 386, 111]}, {\"cell\": \"5.63\", \"bbox\": [440, 101, 455, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 28, 125]}, {\"cell\": \"16.72\", \"bbox\": [180, 115, 198, 125]}, {\"cell\": \"myosin heavy chain 7 (MYH7)\", \"bbox\": [266, 115, 363, 125]}, {\"cell\": \"4.54\", \"bbox\": [440, 115, 455, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 139, 139]}, {\"cell\": \"6.54\", \"bbox\": [184, 129, 198, 139]}, {\"cell\": \"NK transcript (IL-32)\", \"bbox\": [266, 129, 330, 139]}, {\"cell\": \"6.1\", \"bbox\": [440, 129, 451, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 103, 153]}, {\"cell\": \"3.46\", \"bbox\": [184, 143, 198, 153]}, {\"cell\": \"synaptopodin (SYNPO)\", \"bbox\": [266, 143, 340, 153]}, {\"cell\": \"1.79\", \"bbox\": [440, 143, 455, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 103, 167]}, {\"cell\": \"2.3\", \"bbox\": [184, 157, 195, 167]}, {\"cell\": \"titin\", \"bbox\": [266, 157, 280, 167]}, {\"cell\": \"4.19\", \"bbox\": [440, 157, 455, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 102, 181]}, {\"cell\": \"5.28\", \"bbox\": [184, 171, 198, 181]}, {\"cell\": \"vimentin\", \"bbox\": [266, 171, 296, 181]}, {\"cell\": \"2.39\", \"bbox\": [440, 171, 455, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 103, 195]}, {\"cell\": \"61.14\", \"bbox\": [180, 185, 198, 195]}, {\"cell\": \"vinculin\", \"bbox\": [266, 185, 292, 195]}, {\"cell\": \"2.68\", \"bbox\": [440, 185, 455, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3465185_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}684{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>The need of care</b></td><td rowspan=\\\"2\\\" colspan=\\\"2\\\"><b>Difference (A-B)</b></td></tr><tr><td><b>Occurred (A)</b></td><td><b>Not occurred (B)</b></td></tr></thead><tbody><tr><td>Parents (<i>n</i> = 15,972)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Caregiving</td><td>30.7%</td><td>[EMPTY_CELL]</td><td>30.7%</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>SD</i> (0.4%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Coresidence</td><td>13.7%</td><td>[EMPTY_CELL]</td><td>−1.8%</td><td>*</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>SD</i> (0.8%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Work</td><td>55.1%</td><td>[EMPTY_CELL]</td><td>−5.4%</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>SD</i> (1.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td>K6 score (range: 0–24)</td><td><i>M</i> 3.79</td><td>[EMPTY_CELL]</td><td>0.59</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td><i>SD</i> (0.08)</td><td>[EMPTY_CELL]</td><td>(0.00)</td><td>[EMPTY_CELL]</td></tr><tr><td>K6 score ≥ 5</td><td>33.3%</td><td>[EMPTY_CELL]</td><td>4.9%</td><td>***</td></tr><tr><td>Number of observations</td><td>2648</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Parents-in-law (<i>n</i> = 10,887)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Caregiving</td><td>29.7%</td><td>[EMPTY_CELL]</td><td>29.7%</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>SD</i> (0.5%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Coresidence</td><td>33.1%</td><td>[EMPTY_CELL]</td><td>−7.2%</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>SD</i> (1.2%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Work</td><td>55.7%</td><td>[EMPTY_CELL]</td><td>−6.3%</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>SD</i> (1.2%)</td><td>[EMPTY_CELL]</td></tr><tr><td>K6 score (range: 0–24)</td><td><i>M</i> 3.90</td><td>[EMPTY_CELL]</td><td>0.70</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td><i>SD</i> (0.10)</td><td>[EMPTY_CELL]</td><td>(0.10)</td><td>[EMPTY_CELL]</td></tr><tr><td>K6 score ≥ 5</td><td>34.4%</td><td>[EMPTY_CELL]</td><td>5.1%</td><td>***</td></tr><tr><td>Number of observations</td><td>2086</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>The need of care</b>\", \"bbox\": [151, 4, 207, 13]}, {\"cell\": \"<b>Difference (A-B)</b>\", \"bbox\": [377, 4, 429, 13]}, {\"cell\": \"<b>Occurred (A)</b>\", \"bbox\": [151, 17, 193, 26]}, {\"cell\": \"<b>Not occurred (B)</b>\", \"bbox\": [258, 17, 312, 26]}, {\"cell\": \"Parents (<i>n</i> = 15,972)\", \"bbox\": [1, 30, 65, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Caregiving\", \"bbox\": [1, 44, 37, 54]}, {\"cell\": \"30.7%\", \"bbox\": [151, 44, 171, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 44, 263, 54]}, {\"cell\": \"30.7%\", \"bbox\": [377, 44, 398, 54]}, {\"cell\": \"***\", \"bbox\": [473, 44, 484, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>SD</i> (0.4%)\", \"bbox\": [377, 58, 409, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Coresidence\", \"bbox\": [1, 72, 42, 82]}, {\"cell\": \"13.7%\", \"bbox\": [151, 72, 171, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 72, 278, 82]}, {\"cell\": \"−1.8%\", \"bbox\": [377, 72, 398, 82]}, {\"cell\": \"*\", \"bbox\": [473, 72, 478, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>SD</i> (0.8%)\", \"bbox\": [377, 86, 409, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Work\", \"bbox\": [1, 100, 19, 110]}, {\"cell\": \"55.1%\", \"bbox\": [151, 100, 171, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 100, 278, 110]}, {\"cell\": \"−5.4%\", \"bbox\": [377, 100, 398, 110]}, {\"cell\": \"***\", \"bbox\": [473, 100, 484, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>SD</i> (1.0%)\", \"bbox\": [377, 114, 409, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"K6 score (range: 0–24)\", \"bbox\": [1, 128, 73, 138]}, {\"cell\": \"<i>M</i> 3.79\", \"bbox\": [151, 128, 174, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 128, 272, 138]}, {\"cell\": \"0.59\", \"bbox\": [377, 128, 392, 138]}, {\"cell\": \"***\", \"bbox\": [473, 128, 484, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>SD</i> (0.08)\", \"bbox\": [151, 142, 181, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 142, 277, 152]}, {\"cell\": \"(0.00)\", \"bbox\": [377, 142, 396, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"K6 score ≥ 5\", \"bbox\": [1, 156, 42, 166]}, {\"cell\": \"33.3%\", \"bbox\": [151, 156, 171, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 156, 278, 166]}, {\"cell\": \"4.9%\", \"bbox\": [377, 156, 394, 166]}, {\"cell\": \"***\", \"bbox\": [473, 156, 484, 166]}, {\"cell\": \"Number of observations\", \"bbox\": [1, 170, 80, 180]}, {\"cell\": \"2648\", \"bbox\": [151, 170, 168, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 170, 280, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Parents-in-law (<i>n</i> = 10,887)\", \"bbox\": [1, 184, 86, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Caregiving\", \"bbox\": [1, 198, 37, 208]}, {\"cell\": \"29.7%\", \"bbox\": [151, 198, 171, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 198, 263, 208]}, {\"cell\": \"29.7%\", \"bbox\": [377, 198, 398, 208]}, {\"cell\": \"***\", \"bbox\": [473, 198, 484, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>SD</i> (0.5%)\", \"bbox\": [377, 212, 409, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Coresidence\", \"bbox\": [1, 226, 42, 236]}, {\"cell\": \"33.1%\", \"bbox\": [151, 226, 171, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 226, 278, 236]}, {\"cell\": \"−7.2%\", \"bbox\": [377, 226, 398, 236]}, {\"cell\": \"***\", \"bbox\": [473, 226, 484, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>SD</i> (1.2%)\", \"bbox\": [377, 240, 409, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Work\", \"bbox\": [1, 254, 19, 264]}, {\"cell\": \"55.7%\", \"bbox\": [151, 254, 171, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 254, 278, 264]}, {\"cell\": \"−6.3%\", \"bbox\": [377, 254, 398, 264]}, {\"cell\": \"***\", \"bbox\": [473, 254, 484, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>SD</i> (1.2%)\", \"bbox\": [377, 268, 409, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"K6 score (range: 0–24)\", \"bbox\": [1, 282, 73, 292]}, {\"cell\": \"<i>M</i> 3.90\", \"bbox\": [151, 282, 174, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 282, 272, 292]}, {\"cell\": \"0.70\", \"bbox\": [377, 282, 392, 292]}, {\"cell\": \"***\", \"bbox\": [473, 282, 484, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>SD</i> (0.10)\", \"bbox\": [151, 296, 181, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 296, 277, 306]}, {\"cell\": \"(0.10)\", \"bbox\": [377, 296, 396, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"K6 score ≥ 5\", \"bbox\": [1, 310, 42, 320]}, {\"cell\": \"34.4%\", \"bbox\": [151, 310, 171, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 310, 278, 320]}, {\"cell\": \"5.1%\", \"bbox\": [377, 310, 394, 320]}, {\"cell\": \"***\", \"bbox\": [473, 310, 484, 320]}, {\"cell\": \"Number of observations\", \"bbox\": [1, 324, 80, 334]}, {\"cell\": \"2086\", \"bbox\": [151, 324, 168, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 324, 275, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5899337_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}685{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b><i>Item</i></b></td><td><b><i>Surgical (n=154)</i></b></td><td><b><i>Gamma Knife (n=82)</i></b></td></tr></thead><tbody><tr><td rowspan=\\\"5\\\">[EMPTY_CELL]</td><td>Febrile convulsion</td><td>72</td><td>63</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td><td>6</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td><td>6</td></tr><tr><td>[EMPTY_CELL]</td><td>22</td><td>6</td></tr><tr><td rowspan=\\\"6\\\">[EMPTY_CELL]</td><td>Chest discomfort</td><td>77</td><td>32</td></tr><tr><td>[EMPTY_CELL]</td><td>18</td><td>25</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td><td>6</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>13</td></tr><tr><td>[EMPTY_CELL]</td><td>14</td><td>6</td></tr><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>SPS</td><td>72</td><td>31</td></tr><tr><td>[EMPTY_CELL]</td><td>154</td><td>82</td></tr><tr><td>[EMPTY_CELL]</td><td>99</td><td>44</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Range</td><td>2-10</td><td>3-10</td></tr><tr><td>[EMPTY_CELL]</td><td>4.6</td><td>5.3</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Left</td><td>66</td><td>32</td></tr><tr><td>[EMPTY_CELL]</td><td>88</td><td>50</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Item</i></b>\", \"bbox\": [0, 4, 19, 15]}, {\"cell\": \"<b><i>Surgical (n=154)</i></b>\", \"bbox\": [153, 4, 186, 26]}, {\"cell\": \"<b><i>Gamma Knife (n=82)</i></b>\", \"bbox\": [192, 4, 223, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 41, 33, 52]}, {\"cell\": \"Febrile convulsion\", \"bbox\": [56, 41, 132, 52]}, {\"cell\": \"72\", \"bbox\": [165, 41, 176, 52]}, {\"cell\": \"63\", \"bbox\": [201, 41, 212, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 53, 90, 64]}, {\"cell\": \"11\", \"bbox\": [166, 53, 177, 64]}, {\"cell\": \"6\", \"bbox\": [202, 53, 208, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 65, 155, 76]}, {\"cell\": \"6\", \"bbox\": [165, 65, 172, 76]}, {\"cell\": \"1\", \"bbox\": [201, 65, 208, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 77, 112, 88]}, {\"cell\": \"45\", \"bbox\": [165, 77, 176, 88]}, {\"cell\": \"6\", \"bbox\": [201, 77, 208, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 86, 101, 100]}, {\"cell\": \"22\", \"bbox\": [166, 86, 177, 100]}, {\"cell\": \"6\", \"bbox\": [202, 86, 208, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 101, 55, 124]}, {\"cell\": \"Chest discomfort\", \"bbox\": [56, 101, 127, 112]}, {\"cell\": \"77\", \"bbox\": [166, 101, 177, 112]}, {\"cell\": \"32\", \"bbox\": [202, 101, 213, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 113, 149, 124]}, {\"cell\": \"18\", \"bbox\": [166, 113, 177, 124]}, {\"cell\": \"25\", \"bbox\": [202, 113, 213, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 125, 90, 136]}, {\"cell\": \"24\", \"bbox\": [166, 125, 177, 136]}, {\"cell\": \"0\", \"bbox\": [202, 125, 208, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 137, 97, 148]}, {\"cell\": \"11\", \"bbox\": [166, 137, 177, 148]}, {\"cell\": \"6\", \"bbox\": [202, 137, 208, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 149, 143, 160]}, {\"cell\": \"10\", \"bbox\": [166, 149, 177, 160]}, {\"cell\": \"13\", \"bbox\": [202, 149, 213, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 161, 80, 172]}, {\"cell\": \"14\", \"bbox\": [165, 161, 176, 172]}, {\"cell\": \"6\", \"bbox\": [201, 161, 208, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 173, 23, 184]}, {\"cell\": \"SPS\", \"bbox\": [56, 173, 73, 184]}, {\"cell\": \"72\", \"bbox\": [165, 173, 176, 184]}, {\"cell\": \"31\", \"bbox\": [201, 173, 212, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 185, 75, 196]}, {\"cell\": \"154\", \"bbox\": [165, 185, 181, 196]}, {\"cell\": \"82\", \"bbox\": [201, 185, 212, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 197, 75, 208]}, {\"cell\": \"99\", \"bbox\": [165, 197, 176, 208]}, {\"cell\": \"44\", \"bbox\": [201, 197, 212, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 209, 56, 232]}, {\"cell\": \"Range\", \"bbox\": [57, 209, 84, 220]}, {\"cell\": \"2-10\", \"bbox\": [165, 209, 184, 220]}, {\"cell\": \"3-10\", \"bbox\": [201, 209, 220, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 221, 89, 232]}, {\"cell\": \"4.6\", \"bbox\": [166, 221, 179, 232]}, {\"cell\": \"5.3\", \"bbox\": [202, 221, 215, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 233, 33, 244]}, {\"cell\": \"Left\", \"bbox\": [57, 233, 74, 244]}, {\"cell\": \"66\", \"bbox\": [166, 233, 177, 244]}, {\"cell\": \"32\", \"bbox\": [202, 233, 213, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [56, 245, 80, 256]}, {\"cell\": \"88\", \"bbox\": [165, 245, 176, 256]}, {\"cell\": \"50\", \"bbox\": [201, 245, 212, 256]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3817772_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}686{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Data</b></td><td colspan=\\\"2\\\"><b>SRNS</b></td><td colspan=\\\"2\\\"><b>SSNS</b></td><td rowspan=\\\"2\\\"><b><i>P</i> value</b></td></tr><tr><td><b>Number</b></td><td><b>% </b></td><td><b>Number</b></td><td><b>% </b></td></tr></thead><tbody><tr><td>Hypertension</td><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td> Hypertensive</td><td>16</td><td>59.3</td><td>2</td><td>7.4</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td> Normotensive</td><td>11</td><td>40.7</td><td>25</td><td>92.6</td></tr><tr><td colspan=\\\"6\\\">Hematuria</td></tr><tr><td> Hematuria</td><td>9</td><td>33.3</td><td>1</td><td>3.7</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td> No hematuria</td><td>18</td><td>66.7</td><td>26</td><td>96.3</td></tr><tr><td colspan=\\\"6\\\">Renal insufficiency</td></tr><tr><td> RI</td><td>8</td><td>29.6</td><td>0.00</td><td>0.00</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td> No RI</td><td>19</td><td>70.4</td><td>27</td><td>100</td></tr><tr><td colspan=\\\"6\\\">Mean s. albumin, g/L (mean ± SD)</td></tr><tr><td colspan=\\\"3\\\"> 2.400 ± 0.889</td><td colspan=\\\"2\\\">2.525 ± 0.867</td><td>0.601</td></tr><tr><td colspan=\\\"6\\\">Mean blood urea, mmol/L (mean ± SD)</td></tr><tr><td colspan=\\\"3\\\"> 6.499 ± 3.491</td><td colspan=\\\"2\\\">4.149 ± 1.405</td><td>0.002</td></tr><tr><td colspan=\\\"6\\\">Mean s. creatinine, mmol/L (mean ± SD)</td></tr><tr><td colspan=\\\"3\\\"> 79.518 ± 73.150</td><td colspan=\\\"2\\\">47.696 ± 14.904</td><td>0.031</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Data</b>\", \"bbox\": [2, 9, 22, 20]}, {\"cell\": \"<b>SRNS</b>\", \"bbox\": [167, 4, 189, 15]}, {\"cell\": \"<b>SSNS</b>\", \"bbox\": [341, 4, 362, 15]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [471, 9, 499, 20]}, {\"cell\": \"<b>Number</b>\", \"bbox\": [122, 16, 154, 27]}, {\"cell\": \"<b>% </b>\", \"bbox\": [219, 16, 228, 27]}, {\"cell\": \"<b>Number</b>\", \"bbox\": [293, 16, 326, 27]}, {\"cell\": \"<b>% </b>\", \"bbox\": [394, 16, 402, 27]}, {\"cell\": \"Hypertension\", \"bbox\": [2, 29, 54, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hypertensive\", \"bbox\": [11, 42, 61, 52]}, {\"cell\": \"16\", \"bbox\": [133, 42, 142, 52]}, {\"cell\": \"59.3\", \"bbox\": [216, 42, 232, 52]}, {\"cell\": \"2\", \"bbox\": [306, 42, 313, 52]}, {\"cell\": \"7.4\", \"bbox\": [392, 42, 404, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 47, 496, 58]}, {\"cell\": \" Normotensive\", \"bbox\": [11, 54, 64, 65]}, {\"cell\": \"11\", \"bbox\": [134, 54, 142, 65]}, {\"cell\": \"40.7\", \"bbox\": [215, 54, 232, 65]}, {\"cell\": \"25\", \"bbox\": [304, 54, 315, 65]}, {\"cell\": \"92.6\", \"bbox\": [390, 54, 407, 65]}, {\"cell\": \"Hematuria\", \"bbox\": [2, 67, 43, 77]}, {\"cell\": \" Hematuria\", \"bbox\": [11, 79, 52, 90]}, {\"cell\": \"9\", \"bbox\": [135, 79, 141, 90]}, {\"cell\": \"33.3\", \"bbox\": [216, 79, 232, 90]}, {\"cell\": \"1\", \"bbox\": [307, 79, 312, 90]}, {\"cell\": \"3.7\", \"bbox\": [392, 79, 404, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 84, 495, 95]}, {\"cell\": \" No hematuria\", \"bbox\": [11, 91, 63, 102]}, {\"cell\": \"18\", \"bbox\": [133, 91, 142, 102]}, {\"cell\": \"66.7\", \"bbox\": [215, 91, 232, 102]}, {\"cell\": \"26\", \"bbox\": [304, 91, 315, 102]}, {\"cell\": \"96.3\", \"bbox\": [390, 91, 407, 102]}, {\"cell\": \"Renal insufficiency\", \"bbox\": [2, 104, 72, 115]}, {\"cell\": \" RI\", \"bbox\": [11, 116, 22, 127]}, {\"cell\": \"8\", \"bbox\": [135, 116, 141, 127]}, {\"cell\": \"29.6\", \"bbox\": [215, 116, 232, 127]}, {\"cell\": \"0.00\", \"bbox\": [301, 116, 318, 127]}, {\"cell\": \"0.00\", \"bbox\": [389, 116, 407, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 122, 495, 132]}, {\"cell\": \" No RI\", \"bbox\": [11, 129, 35, 139]}, {\"cell\": \"19\", \"bbox\": [133, 129, 142, 139]}, {\"cell\": \"70.4\", \"bbox\": [215, 129, 232, 139]}, {\"cell\": \"27\", \"bbox\": [304, 129, 315, 139]}, {\"cell\": \"100\", \"bbox\": [391, 129, 405, 139]}, {\"cell\": \"Mean s. albumin, g/L (mean ± SD)\", \"bbox\": [2, 138, 129, 153]}, {\"cell\": \" 2.400 ± 0.889\", \"bbox\": [11, 150, 62, 166]}, {\"cell\": \"2.525 ± 0.867\", \"bbox\": [327, 150, 376, 166]}, {\"cell\": \"0.601\", \"bbox\": [474, 154, 495, 164]}, {\"cell\": \"Mean blood urea, mmol/L (mean ± SD)\", \"bbox\": [2, 163, 147, 178]}, {\"cell\": \" 6.499 ± 3.491\", \"bbox\": [11, 175, 60, 191]}, {\"cell\": \"4.149 ± 1.405\", \"bbox\": [328, 175, 375, 191]}, {\"cell\": \"0.002\", \"bbox\": [474, 179, 495, 189]}, {\"cell\": \"Mean s. creatinine, mmol/L (mean ± SD)\", \"bbox\": [2, 188, 152, 203]}, {\"cell\": \" 79.518 ± 73.150\", \"bbox\": [11, 200, 66, 216]}, {\"cell\": \"47.696 ± 14.904\", \"bbox\": [323, 200, 380, 216]}, {\"cell\": \"0.031\", \"bbox\": [475, 203, 495, 214]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5424166_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}687{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Quintile of the CHEI</b></td></tr><tr><td><b>Selected Food Groups</b></td><td><b>Q1(<i>n</i> = 2494)</b></td><td><b>Q2(<i>n</i> = 2495)</b></td><td><b>Q3(<i>n</i> = 2495)</b></td><td><b>Q4(<i>n</i> = 2495)</b></td><td><b>Q5(<i>n</i> = 2494)</b></td><td><b><i>P</i> for Trend <sup>1</sup></b></td></tr></thead><tbody><tr><td>CHEI score</td><td>[EMPTY_CELL]</td><td>46.89</td><td>52.45</td><td>58.21</td><td>68.01</td><td>[EMPTY_CELL]</td></tr><tr><td>Whole grains (g/1000 kcal per day)</td><td>[EMPTY_CELL]</td><td>9.69</td><td>12.58</td><td>13.21</td><td>16.53</td><td><0.0001</td></tr><tr><td>Refine grains (g/1000 kcal per day)</td><td>[EMPTY_CELL]</td><td>209.50</td><td>203.13</td><td>197.06</td><td>179.48</td><td><0.0001</td></tr><tr><td>Dairy products (g/1000 kcal per day)</td><td>[EMPTY_CELL]</td><td>6.89</td><td>9.58</td><td>18.08</td><td>41.11</td><td><0.0001</td></tr><tr><td>Seed and nuts (g/1000 kcal per day)</td><td>[EMPTY_CELL]</td><td>1.20</td><td>2.20</td><td>3.05</td><td>5.54</td><td><0.0001</td></tr><tr><td>Fruits (g/1000 kcal per day)</td><td>[EMPTY_CELL]</td><td>15.08</td><td>27.30</td><td>44.75</td><td>79.07</td><td><0.0001</td></tr><tr><td>Vegetables (g/1000 kcal per day)</td><td>[EMPTY_CELL]</td><td>154.22</td><td>156.78</td><td>159.96</td><td>167.43</td><td><0.0001</td></tr><tr><td>Fish and seafood (g/1000 kcal per day)</td><td>[EMPTY_CELL]</td><td>9.85</td><td>11.58</td><td>14.64</td><td>21.98</td><td><0.0001</td></tr><tr><td>Red meat (g/1000 kcal per day)</td><td>[EMPTY_CELL]</td><td>41.88</td><td>39.41</td><td>40.71</td><td>38.22</td><td>0.039</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Quintile of the CHEI</b>\", \"bbox\": [249, 4, 320, 13]}, {\"cell\": \"<b>Selected Food Groups</b>\", \"bbox\": [30, 21, 104, 30]}, {\"cell\": \"<b>Q1(<i>n</i> = 2494)</b>\", \"bbox\": [141, 17, 174, 34]}, {\"cell\": \"<b>Q2(<i>n</i> = 2495)</b>\", \"bbox\": [192, 17, 225, 34]}, {\"cell\": \"<b>Q3(<i>n</i> = 2495)</b>\", \"bbox\": [242, 17, 275, 34]}, {\"cell\": \"<b>Q4(<i>n</i> = 2495)</b>\", \"bbox\": [293, 17, 326, 34]}, {\"cell\": \"<b>Q5(<i>n</i> = 2494)</b>\", \"bbox\": [341, 17, 374, 34]}, {\"cell\": \"<b><i>P</i> for Trend <sup>1</sup></b>\", \"bbox\": [386, 20, 429, 30]}, {\"cell\": \"CHEI score\", \"bbox\": [48, 38, 86, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 38, 167, 47]}, {\"cell\": \"46.89\", \"bbox\": [199, 38, 218, 47]}, {\"cell\": \"52.45\", \"bbox\": [250, 38, 268, 47]}, {\"cell\": \"58.21\", \"bbox\": [300, 38, 319, 47]}, {\"cell\": \"68.01\", \"bbox\": [348, 38, 366, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Whole grains (g/1000 kcal per day)\", \"bbox\": [5, 47, 120, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 47, 165, 56]}, {\"cell\": \"9.69\", \"bbox\": [201, 47, 216, 56]}, {\"cell\": \"12.58\", \"bbox\": [250, 47, 268, 56]}, {\"cell\": \"13.21\", \"bbox\": [300, 47, 319, 56]}, {\"cell\": \"16.53\", \"bbox\": [348, 47, 366, 56]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 47, 421, 56]}, {\"cell\": \"Refine grains (g/1000 kcal per day)\", \"bbox\": [5, 56, 119, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 56, 169, 65]}, {\"cell\": \"209.50\", \"bbox\": [198, 56, 219, 65]}, {\"cell\": \"203.13\", \"bbox\": [248, 56, 270, 65]}, {\"cell\": \"197.06\", \"bbox\": [299, 56, 320, 65]}, {\"cell\": \"179.48\", \"bbox\": [346, 56, 368, 65]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 56, 421, 65]}, {\"cell\": \"Dairy products (g/1000 kcal per day)\", \"bbox\": [5, 64, 125, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 64, 165, 74]}, {\"cell\": \"6.89\", \"bbox\": [201, 64, 216, 74]}, {\"cell\": \"9.58\", \"bbox\": [252, 64, 266, 74]}, {\"cell\": \"18.08\", \"bbox\": [300, 64, 319, 74]}, {\"cell\": \"41.11\", \"bbox\": [348, 64, 366, 74]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 64, 421, 74]}, {\"cell\": \"Seed and nuts (g/1000 kcal per day)\", \"bbox\": [5, 73, 122, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 73, 165, 82]}, {\"cell\": \"1.20\", \"bbox\": [201, 73, 216, 82]}, {\"cell\": \"2.20\", \"bbox\": [252, 73, 266, 82]}, {\"cell\": \"3.05\", \"bbox\": [302, 73, 317, 82]}, {\"cell\": \"5.54\", \"bbox\": [350, 73, 364, 82]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 73, 421, 82]}, {\"cell\": \"Fruits (g/1000 kcal per day)\", \"bbox\": [5, 82, 96, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 82, 165, 91]}, {\"cell\": \"15.08\", \"bbox\": [199, 82, 218, 91]}, {\"cell\": \"27.30\", \"bbox\": [250, 82, 268, 91]}, {\"cell\": \"44.75\", \"bbox\": [300, 82, 319, 91]}, {\"cell\": \"79.07\", \"bbox\": [348, 82, 366, 91]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 82, 421, 91]}, {\"cell\": \"Vegetables (g/1000 kcal per day)\", \"bbox\": [5, 91, 111, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 91, 169, 100]}, {\"cell\": \"154.22\", \"bbox\": [198, 91, 219, 100]}, {\"cell\": \"156.78\", \"bbox\": [248, 91, 270, 100]}, {\"cell\": \"159.96\", \"bbox\": [299, 91, 320, 100]}, {\"cell\": \"167.43\", \"bbox\": [346, 91, 368, 100]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 91, 421, 100]}, {\"cell\": \"Fish and seafood (g/1000 kcal per day)\", \"bbox\": [5, 100, 129, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 100, 165, 109]}, {\"cell\": \"9.85\", \"bbox\": [201, 100, 216, 109]}, {\"cell\": \"11.58\", \"bbox\": [250, 100, 268, 109]}, {\"cell\": \"14.64\", \"bbox\": [300, 100, 319, 109]}, {\"cell\": \"21.98\", \"bbox\": [348, 100, 366, 109]}, {\"cell\": \"<0.0001\", \"bbox\": [395, 100, 421, 109]}, {\"cell\": \"Red meat (g/1000 kcal per day)\", \"bbox\": [5, 108, 107, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [149, 108, 167, 118]}, {\"cell\": \"41.88\", \"bbox\": [199, 108, 218, 118]}, {\"cell\": \"39.41\", \"bbox\": [250, 108, 268, 118]}, {\"cell\": \"40.71\", \"bbox\": [300, 108, 319, 118]}, {\"cell\": \"38.22\", \"bbox\": [348, 108, 366, 118]}, {\"cell\": \"0.039\", \"bbox\": [399, 108, 417, 118]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5852690_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}688{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Benign</b></td><td><b>pH</b></td><td><b><i>A. vaginae</i></b></td><td><b><i>Porphyromonas</i> sp.</b></td><td><b>A*P</b></td><td><b>A or P + pH</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Positive</td><td>Negative</td><td>Negative</td><td>Negative</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Negative</td><td>Negative</td><td>Negative</td><td>Negative</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Negative</td><td>Negative</td><td>Negative</td><td>Negative</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Negative</td><td>Negative</td><td>Negative</td><td>Negative</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Negative</td><td>Negative</td><td>Negative</td><td>Negative</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Negative</td><td>Negative</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Negative</td><td>Positive</td><td>Negative</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Negative</td><td>Negative</td><td>Negative</td><td>Negative</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Negative</td><td>Negative</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>pH</td><td><i>A. vaginae</i></td><td><i>Porphyromonas</i> sp.</td><td>A*P</td><td>A or P + pH</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Negative</td><td>Negative</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Negative</td><td>Negative</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Positive</td><td>Positive</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>NA</td><td>Negative</td><td>Positive</td><td>Negative</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Positive</td><td>Negative</td><td>Negative</td><td>Positive</td></tr><tr><td>[EMPTY_CELL]</td><td>pH</td><td><i>A. vaginae</i></td><td><i>Porphyromonas</i> sp.</td><td>A*P</td><td>A or P + pH</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Negative</td><td>Negative</td><td>Negative</td><td>Negative</td></tr><tr><td>[EMPTY_CELL]</td><td>High</td><td>Negative</td><td>Negative</td><td>Negative</td><td>Negative</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Negative</td><td>Positive</td><td>Negative</td><td>Negative</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal</td><td>Positive</td><td>Negative</td><td>Negative</td><td>Negative</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Benign</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>pH</b>\", \"bbox\": [90, 4, 101, 13]}, {\"cell\": \"<b><i>A. vaginae</i></b>\", \"bbox\": [166, 4, 201, 13]}, {\"cell\": \"<b><i>Porphyromonas</i> sp.</b>\", \"bbox\": [252, 4, 313, 13]}, {\"cell\": \"<b>A*P</b>\", \"bbox\": [364, 4, 378, 13]}, {\"cell\": \"<b>A or P + pH</b>\", \"bbox\": [445, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 14, 27]}, {\"cell\": \"Normal\", \"bbox\": [90, 17, 115, 27]}, {\"cell\": \"Positive\", \"bbox\": [166, 17, 193, 27]}, {\"cell\": \"Negative\", \"bbox\": [252, 17, 282, 27]}, {\"cell\": \"Negative\", \"bbox\": [364, 17, 394, 27]}, {\"cell\": \"Negative\", \"bbox\": [445, 17, 476, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 14, 41]}, {\"cell\": \"Normal\", \"bbox\": [90, 31, 115, 41]}, {\"cell\": \"Negative\", \"bbox\": [166, 31, 197, 41]}, {\"cell\": \"Negative\", \"bbox\": [252, 31, 282, 41]}, {\"cell\": \"Negative\", \"bbox\": [364, 31, 394, 41]}, {\"cell\": \"Negative\", \"bbox\": [445, 31, 476, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 14, 55]}, {\"cell\": \"Normal\", \"bbox\": [90, 45, 115, 55]}, {\"cell\": \"Negative\", \"bbox\": [166, 45, 197, 55]}, {\"cell\": \"Negative\", \"bbox\": [252, 45, 282, 55]}, {\"cell\": \"Negative\", \"bbox\": [364, 45, 394, 55]}, {\"cell\": \"Negative\", \"bbox\": [445, 45, 476, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 14, 69]}, {\"cell\": \"Normal\", \"bbox\": [90, 59, 115, 69]}, {\"cell\": \"Negative\", \"bbox\": [166, 59, 197, 69]}, {\"cell\": \"Negative\", \"bbox\": [252, 59, 282, 69]}, {\"cell\": \"Negative\", \"bbox\": [364, 59, 394, 69]}, {\"cell\": \"Negative\", \"bbox\": [445, 59, 476, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 14, 83]}, {\"cell\": \"Normal\", \"bbox\": [90, 73, 115, 83]}, {\"cell\": \"Negative\", \"bbox\": [166, 73, 197, 83]}, {\"cell\": \"Negative\", \"bbox\": [252, 73, 282, 83]}, {\"cell\": \"Negative\", \"bbox\": [364, 73, 394, 83]}, {\"cell\": \"Negative\", \"bbox\": [445, 73, 476, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 14, 97]}, {\"cell\": \"High\", \"bbox\": [90, 87, 107, 97]}, {\"cell\": \"Positive\", \"bbox\": [166, 87, 193, 97]}, {\"cell\": \"Negative\", \"bbox\": [252, 87, 282, 97]}, {\"cell\": \"Negative\", \"bbox\": [364, 87, 394, 97]}, {\"cell\": \"Positive\", \"bbox\": [445, 87, 472, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 14, 111]}, {\"cell\": \"High\", \"bbox\": [90, 101, 107, 111]}, {\"cell\": \"Negative\", \"bbox\": [166, 101, 197, 111]}, {\"cell\": \"Positive\", \"bbox\": [252, 101, 278, 111]}, {\"cell\": \"Negative\", \"bbox\": [364, 101, 394, 111]}, {\"cell\": \"Positive\", \"bbox\": [445, 101, 472, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 14, 125]}, {\"cell\": \"High\", \"bbox\": [90, 115, 107, 125]}, {\"cell\": \"Positive\", \"bbox\": [166, 115, 193, 125]}, {\"cell\": \"Positive\", \"bbox\": [252, 115, 278, 125]}, {\"cell\": \"Positive\", \"bbox\": [364, 115, 390, 125]}, {\"cell\": \"Positive\", \"bbox\": [445, 115, 472, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 14, 139]}, {\"cell\": \"Normal\", \"bbox\": [90, 129, 115, 139]}, {\"cell\": \"Negative\", \"bbox\": [166, 129, 197, 139]}, {\"cell\": \"Negative\", \"bbox\": [252, 129, 282, 139]}, {\"cell\": \"Negative\", \"bbox\": [364, 129, 394, 139]}, {\"cell\": \"Negative\", \"bbox\": [445, 129, 476, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 14, 153]}, {\"cell\": \"High\", \"bbox\": [90, 143, 107, 153]}, {\"cell\": \"Positive\", \"bbox\": [166, 143, 193, 153]}, {\"cell\": \"Negative\", \"bbox\": [252, 143, 282, 153]}, {\"cell\": \"Negative\", \"bbox\": [364, 143, 394, 153]}, {\"cell\": \"Positive\", \"bbox\": [445, 143, 472, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 24, 167]}, {\"cell\": \"pH\", \"bbox\": [90, 157, 101, 167]}, {\"cell\": \"<i>A. vaginae</i>\", \"bbox\": [166, 157, 201, 167]}, {\"cell\": \"<i>Porphyromonas</i> sp.\", \"bbox\": [252, 157, 313, 167]}, {\"cell\": \"A*P\", \"bbox\": [364, 157, 378, 167]}, {\"cell\": \"A or P + pH\", \"bbox\": [445, 157, 484, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 18, 181]}, {\"cell\": \"High\", \"bbox\": [90, 171, 107, 181]}, {\"cell\": \"Positive\", \"bbox\": [166, 171, 193, 181]}, {\"cell\": \"Positive\", \"bbox\": [252, 171, 278, 181]}, {\"cell\": \"Positive\", \"bbox\": [364, 171, 390, 181]}, {\"cell\": \"Positive\", \"bbox\": [445, 171, 472, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 18, 195]}, {\"cell\": \"High\", \"bbox\": [90, 185, 107, 195]}, {\"cell\": \"Positive\", \"bbox\": [166, 185, 193, 195]}, {\"cell\": \"Positive\", \"bbox\": [252, 185, 278, 195]}, {\"cell\": \"Positive\", \"bbox\": [364, 185, 390, 195]}, {\"cell\": \"Positive\", \"bbox\": [445, 185, 472, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 18, 209]}, {\"cell\": \"High\", \"bbox\": [90, 199, 107, 209]}, {\"cell\": \"Positive\", \"bbox\": [166, 199, 193, 209]}, {\"cell\": \"Positive\", \"bbox\": [252, 199, 278, 209]}, {\"cell\": \"Positive\", \"bbox\": [364, 199, 390, 209]}, {\"cell\": \"Positive\", \"bbox\": [445, 199, 472, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 18, 223]}, {\"cell\": \"High\", \"bbox\": [90, 213, 107, 223]}, {\"cell\": \"Positive\", \"bbox\": [166, 213, 193, 223]}, {\"cell\": \"Positive\", \"bbox\": [252, 213, 278, 223]}, {\"cell\": \"Positive\", \"bbox\": [364, 213, 390, 223]}, {\"cell\": \"Positive\", \"bbox\": [445, 213, 472, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 18, 237]}, {\"cell\": \"Normal\", \"bbox\": [90, 227, 115, 237]}, {\"cell\": \"Positive\", \"bbox\": [166, 227, 193, 237]}, {\"cell\": \"Positive\", \"bbox\": [252, 227, 278, 237]}, {\"cell\": \"Positive\", \"bbox\": [364, 227, 390, 237]}, {\"cell\": \"Positive\", \"bbox\": [445, 227, 472, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 18, 251]}, {\"cell\": \"Normal\", \"bbox\": [90, 241, 115, 251]}, {\"cell\": \"Positive\", \"bbox\": [166, 241, 193, 251]}, {\"cell\": \"Positive\", \"bbox\": [252, 241, 278, 251]}, {\"cell\": \"Positive\", \"bbox\": [364, 241, 390, 251]}, {\"cell\": \"Positive\", \"bbox\": [445, 241, 472, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 18, 265]}, {\"cell\": \"Normal\", \"bbox\": [90, 255, 115, 265]}, {\"cell\": \"Positive\", \"bbox\": [166, 255, 193, 265]}, {\"cell\": \"Positive\", \"bbox\": [252, 255, 278, 265]}, {\"cell\": \"Positive\", \"bbox\": [364, 255, 390, 265]}, {\"cell\": \"Positive\", \"bbox\": [445, 255, 472, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 18, 279]}, {\"cell\": \"High\", \"bbox\": [90, 269, 107, 279]}, {\"cell\": \"Positive\", \"bbox\": [166, 269, 193, 279]}, {\"cell\": \"Positive\", \"bbox\": [252, 269, 278, 279]}, {\"cell\": \"Positive\", \"bbox\": [364, 269, 390, 279]}, {\"cell\": \"Positive\", \"bbox\": [445, 269, 472, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 18, 293]}, {\"cell\": \"Normal\", \"bbox\": [90, 283, 115, 293]}, {\"cell\": \"Positive\", \"bbox\": [166, 283, 193, 293]}, {\"cell\": \"Positive\", \"bbox\": [252, 283, 278, 293]}, {\"cell\": \"Positive\", \"bbox\": [364, 283, 390, 293]}, {\"cell\": \"Positive\", \"bbox\": [445, 283, 472, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 18, 307]}, {\"cell\": \"High\", \"bbox\": [90, 297, 107, 307]}, {\"cell\": \"Positive\", \"bbox\": [166, 297, 193, 307]}, {\"cell\": \"Positive\", \"bbox\": [252, 297, 278, 307]}, {\"cell\": \"Positive\", \"bbox\": [364, 297, 390, 307]}, {\"cell\": \"Positive\", \"bbox\": [445, 297, 472, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 311, 18, 321]}, {\"cell\": \"High\", \"bbox\": [90, 311, 107, 321]}, {\"cell\": \"Positive\", \"bbox\": [166, 311, 193, 321]}, {\"cell\": \"Negative\", \"bbox\": [252, 311, 282, 321]}, {\"cell\": \"Negative\", \"bbox\": [364, 311, 394, 321]}, {\"cell\": \"Positive\", \"bbox\": [445, 311, 472, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 18, 335]}, {\"cell\": \"High\", \"bbox\": [90, 325, 107, 335]}, {\"cell\": \"Positive\", \"bbox\": [166, 325, 193, 335]}, {\"cell\": \"Negative\", \"bbox\": [252, 325, 282, 335]}, {\"cell\": \"Negative\", \"bbox\": [364, 325, 394, 335]}, {\"cell\": \"Positive\", \"bbox\": [445, 325, 472, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 18, 349]}, {\"cell\": \"High\", \"bbox\": [90, 339, 107, 349]}, {\"cell\": \"Positive\", \"bbox\": [166, 339, 193, 349]}, {\"cell\": \"Positive\", \"bbox\": [252, 339, 278, 349]}, {\"cell\": \"Positive\", \"bbox\": [364, 339, 390, 349]}, {\"cell\": \"Positive\", \"bbox\": [445, 339, 472, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 18, 363]}, {\"cell\": \"NA\", \"bbox\": [90, 353, 102, 363]}, {\"cell\": \"Negative\", \"bbox\": [166, 353, 197, 363]}, {\"cell\": \"Positive\", \"bbox\": [252, 353, 278, 363]}, {\"cell\": \"Negative\", \"bbox\": [364, 353, 394, 363]}, {\"cell\": \"NA\", \"bbox\": [445, 353, 457, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 18, 377]}, {\"cell\": \"High\", \"bbox\": [90, 367, 107, 377]}, {\"cell\": \"Positive\", \"bbox\": [166, 367, 193, 377]}, {\"cell\": \"Negative\", \"bbox\": [252, 367, 282, 377]}, {\"cell\": \"Negative\", \"bbox\": [364, 367, 394, 377]}, {\"cell\": \"Positive\", \"bbox\": [445, 367, 472, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 39, 391]}, {\"cell\": \"pH\", \"bbox\": [90, 381, 101, 391]}, {\"cell\": \"<i>A. vaginae</i>\", \"bbox\": [166, 381, 201, 391]}, {\"cell\": \"<i>Porphyromonas</i> sp.\", \"bbox\": [252, 381, 313, 391]}, {\"cell\": \"A*P\", \"bbox\": [364, 381, 378, 391]}, {\"cell\": \"A or P + pH\", \"bbox\": [445, 381, 484, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 395, 15, 405]}, {\"cell\": \"High\", \"bbox\": [90, 395, 107, 405]}, {\"cell\": \"Negative\", \"bbox\": [166, 395, 197, 405]}, {\"cell\": \"Negative\", \"bbox\": [252, 395, 282, 405]}, {\"cell\": \"Negative\", \"bbox\": [364, 395, 394, 405]}, {\"cell\": \"Negative\", \"bbox\": [445, 395, 476, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 409, 15, 419]}, {\"cell\": \"High\", \"bbox\": [90, 409, 107, 419]}, {\"cell\": \"Negative\", \"bbox\": [166, 409, 197, 419]}, {\"cell\": \"Negative\", \"bbox\": [252, 409, 282, 419]}, {\"cell\": \"Negative\", \"bbox\": [364, 409, 394, 419]}, {\"cell\": \"Negative\", \"bbox\": [445, 409, 476, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 423, 15, 433]}, {\"cell\": \"Normal\", \"bbox\": [90, 423, 115, 433]}, {\"cell\": \"Negative\", \"bbox\": [166, 423, 197, 433]}, {\"cell\": \"Positive\", \"bbox\": [252, 423, 278, 433]}, {\"cell\": \"Negative\", \"bbox\": [364, 423, 394, 433]}, {\"cell\": \"Negative\", \"bbox\": [445, 423, 476, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 437, 15, 447]}, {\"cell\": \"Normal\", \"bbox\": [90, 437, 115, 447]}, {\"cell\": \"Positive\", \"bbox\": [166, 437, 193, 447]}, {\"cell\": \"Negative\", \"bbox\": [252, 437, 282, 447]}, {\"cell\": \"Negative\", \"bbox\": [364, 437, 394, 447]}, {\"cell\": \"Negative\", \"bbox\": [445, 437, 476, 447]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5123330_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}689{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Means from current research</b></td><td colspan=\\\"6\\\"><b>Means from Pennebaker et al. (2015b)</b></td></tr><tr><td><b>Word type</b></td><td><b>Hopes</b></td><td><b>Duties</b></td><td><b>Blogs</b></td><td><b>Expressive writing</b></td><td><b>Novels</b></td><td><b>Natural speech</b></td><td><b>NY times</b></td><td><b>Twitter</b></td></tr></thead><tbody><tr><td colspan=\\\"9\\\"><b>HOPES HIGHER</b></td></tr><tr><td>Analytical/categorical vs. dynamic</td><td>69.01</td><td>53.94</td><td>[EMPTY_CELL]</td><td>44.88</td><td>70.33</td><td>18.43</td><td>92.57</td><td>61.94</td></tr><tr><td>Emotional tone</td><td>61.77</td><td>43.13</td><td>[EMPTY_CELL]</td><td>38.60</td><td>37.06</td><td>79.29</td><td>43.61</td><td>72.24</td></tr><tr><td>Positive emotion</td><td>3.82</td><td>2.27</td><td>[EMPTY_CELL]</td><td>2.57</td><td>2.67</td><td>5.31</td><td>2.32</td><td>5.48</td></tr><tr><td>Achievement</td><td>4.38</td><td>2.38</td><td>[EMPTY_CELL]</td><td>1.37</td><td>0.91</td><td>0.99</td><td>1.82</td><td>1.45</td></tr><tr><td>Reward</td><td>3.56</td><td>1.80</td><td>[EMPTY_CELL]</td><td>1.56</td><td>1.04</td><td>1.73</td><td>1.07</td><td>1.86</td></tr><tr><td>Work</td><td>9.72</td><td>5.88</td><td>[EMPTY_CELL]</td><td>2.64</td><td>1.20</td><td>2.87</td><td>4.49</td><td>2.16</td></tr><tr><td>Leisure</td><td>2.89</td><td>0.90</td><td>[EMPTY_CELL]</td><td>1.17</td><td>0.56</td><td>1.11</td><td>1.67</td><td>2.11</td></tr><tr><td colspan=\\\"9\\\"><b>DUTIES HIGHER</b></td></tr><tr><td>Clout/status</td><td>24.73</td><td>34.59</td><td>[EMPTY_CELL]</td><td>37.02</td><td>75.37</td><td>56.27</td><td>68.17</td><td>63.02</td></tr><tr><td>Words per sentence</td><td>15.52</td><td>18.26</td><td>[EMPTY_CELL]</td><td>18.42</td><td>16.13</td><td>–</td><td>21.94</td><td>12.10</td></tr><tr><td>Total function words</td><td>53.33</td><td>58.40</td><td>[EMPTY_CELL]</td><td>58.27</td><td>54.51</td><td>56.86</td><td>42.39</td><td>46.08</td></tr><tr><td>Total pronouns</td><td>15.54</td><td>19.24</td><td>[EMPTY_CELL]</td><td>18.03</td><td>15.15</td><td>20.92</td><td>7.41</td><td>13.62</td></tr><tr><td>Personal pronouns</td><td>12.31</td><td>14.80</td><td>[EMPTY_CELL]</td><td>12.74</td><td>10.35</td><td>13.37</td><td>3.56</td><td>9.02</td></tr><tr><td>Third person singular</td><td>0.20</td><td>1.86</td><td>[EMPTY_CELL]</td><td>2.01</td><td>4.80</td><td>0.77</td><td>1.53</td><td>0.64</td></tr><tr><td>Conjunctions</td><td>4.69</td><td>6.62</td><td>[EMPTY_CELL]</td><td>7.46</td><td>6.28</td><td>6.21</td><td>4.85</td><td>4.19</td></tr><tr><td>Negations</td><td>0.42</td><td>1.27</td><td>[EMPTY_CELL]</td><td>1.69</td><td>1.68</td><td>2.42</td><td>0.62</td><td>1.74</td></tr><tr><td>Negative emotion</td><td>0.41</td><td>1.53</td><td>[EMPTY_CELL]</td><td>2.12</td><td>2.08</td><td>1.19</td><td>1.45</td><td>2.14</td></tr><tr><td>Social processes</td><td>4.39</td><td>9.82</td><td>[EMPTY_CELL]</td><td>8.69</td><td>12.26</td><td>10.42</td><td>7.62</td><td>10.47</td></tr><tr><td>Family</td><td>0.70</td><td>2.01</td><td>[EMPTY_CELL]</td><td>0.77</td><td>0.39</td><td>0.31</td><td>0.33</td><td>0.36</td></tr><tr><td>Friends</td><td>0.15</td><td>0.92</td><td>[EMPTY_CELL]</td><td>0.55</td><td>0.25</td><td>0.37</td><td>0.18</td><td>0.43</td></tr><tr><td>Female references</td><td>0.31</td><td>2.03</td><td>[EMPTY_CELL]</td><td>1.37</td><td>1.88</td><td>0.55</td><td>0.62</td><td>0.54</td></tr><tr><td>Male references</td><td>0.41</td><td>1.38</td><td>[EMPTY_CELL]</td><td>1.47</td><td>4.09</td><td>0.80</td><td>1.38</td><td>0.84</td></tr><tr><td>Differentiation</td><td>1.31</td><td>2.67</td><td>[EMPTY_CELL]</td><td>3.40</td><td>2.82</td><td>3.73</td><td>2.03</td><td>2.62</td></tr><tr><td>Affiliation</td><td>1.45</td><td>3.39</td><td>[EMPTY_CELL]</td><td>2.45</td><td>1.39</td><td>2.06</td><td>1.69</td><td>2.53</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Means from current research</b>\", \"bbox\": [115, 6, 214, 15]}, {\"cell\": \"<b>Means from Pennebaker et al. (2015b)</b>\", \"bbox\": [297, 6, 425, 15]}, {\"cell\": \"<b>Word type</b>\", \"bbox\": [1, 23, 36, 31]}, {\"cell\": \"<b>Hopes</b>\", \"bbox\": [114, 23, 138, 31]}, {\"cell\": \"<b>Duties</b>\", \"bbox\": [170, 23, 193, 31]}, {\"cell\": \"<b>Blogs</b>\", \"bbox\": [225, 23, 246, 31]}, {\"cell\": \"<b>Expressive writing</b>\", \"bbox\": [257, 23, 320, 31]}, {\"cell\": \"<b>Novels</b>\", \"bbox\": [331, 23, 356, 31]}, {\"cell\": \"<b>Natural speech</b>\", \"bbox\": [367, 23, 419, 31]}, {\"cell\": \"<b>NY times</b>\", \"bbox\": [430, 23, 462, 31]}, {\"cell\": \"<b>Twitter</b>\", \"bbox\": [476, 23, 500, 31]}, {\"cell\": \"<b>HOPES HIGHER</b>\", \"bbox\": [2, 42, 57, 51]}, {\"cell\": \"Analytical/categorical vs. dynamic\", \"bbox\": [0, 54, 103, 63]}, {\"cell\": \"69.01\", \"bbox\": [116, 54, 136, 63]}, {\"cell\": \"53.94\", \"bbox\": [172, 54, 191, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 54, 245, 63]}, {\"cell\": \"44.88\", \"bbox\": [279, 54, 298, 63]}, {\"cell\": \"70.33\", \"bbox\": [334, 54, 353, 63]}, {\"cell\": \"18.43\", \"bbox\": [383, 54, 403, 63]}, {\"cell\": \"92.57\", \"bbox\": [437, 54, 456, 63]}, {\"cell\": \"61.94\", \"bbox\": [481, 54, 501, 63]}, {\"cell\": \"Emotional tone\", \"bbox\": [0, 66, 47, 74]}, {\"cell\": \"61.77\", \"bbox\": [116, 66, 136, 74]}, {\"cell\": \"43.13\", \"bbox\": [172, 66, 191, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 66, 245, 74]}, {\"cell\": \"38.60\", \"bbox\": [279, 66, 298, 74]}, {\"cell\": \"37.06\", \"bbox\": [334, 66, 353, 74]}, {\"cell\": \"79.29\", \"bbox\": [383, 66, 403, 74]}, {\"cell\": \"43.61\", \"bbox\": [437, 66, 456, 74]}, {\"cell\": \"72.24\", \"bbox\": [481, 66, 501, 74]}, {\"cell\": \"Positive emotion\", \"bbox\": [0, 78, 52, 86]}, {\"cell\": \"3.82\", \"bbox\": [120, 78, 136, 86]}, {\"cell\": \"2.27\", \"bbox\": [176, 78, 191, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 78, 245, 86]}, {\"cell\": \"2.57\", \"bbox\": [283, 78, 298, 86]}, {\"cell\": \"2.67\", \"bbox\": [338, 78, 353, 86]}, {\"cell\": \"5.31\", \"bbox\": [387, 78, 403, 86]}, {\"cell\": \"2.32\", \"bbox\": [441, 78, 456, 86]}, {\"cell\": \"5.48\", \"bbox\": [485, 78, 501, 86]}, {\"cell\": \"Achievement\", \"bbox\": [0, 89, 41, 98]}, {\"cell\": \"4.38\", \"bbox\": [120, 89, 136, 98]}, {\"cell\": \"2.38\", \"bbox\": [176, 89, 191, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 89, 245, 98]}, {\"cell\": \"1.37\", \"bbox\": [283, 89, 298, 98]}, {\"cell\": \"0.91\", \"bbox\": [338, 89, 353, 98]}, {\"cell\": \"0.99\", \"bbox\": [387, 89, 403, 98]}, {\"cell\": \"1.82\", \"bbox\": [441, 89, 456, 98]}, {\"cell\": \"1.45\", \"bbox\": [485, 89, 501, 98]}, {\"cell\": \"Reward\", \"bbox\": [0, 101, 26, 110]}, {\"cell\": \"3.56\", \"bbox\": [120, 101, 136, 110]}, {\"cell\": \"1.80\", \"bbox\": [176, 101, 191, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 101, 245, 110]}, {\"cell\": \"1.56\", \"bbox\": [283, 101, 298, 110]}, {\"cell\": \"1.04\", \"bbox\": [338, 101, 353, 110]}, {\"cell\": \"1.73\", \"bbox\": [387, 101, 403, 110]}, {\"cell\": \"1.07\", \"bbox\": [441, 101, 456, 110]}, {\"cell\": \"1.86\", \"bbox\": [485, 101, 501, 110]}, {\"cell\": \"Work\", \"bbox\": [0, 113, 18, 121]}, {\"cell\": \"9.72\", \"bbox\": [120, 113, 136, 121]}, {\"cell\": \"5.88\", \"bbox\": [176, 113, 191, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 113, 245, 121]}, {\"cell\": \"2.64\", \"bbox\": [283, 113, 298, 121]}, {\"cell\": \"1.20\", \"bbox\": [338, 113, 353, 121]}, {\"cell\": \"2.87\", \"bbox\": [387, 113, 403, 121]}, {\"cell\": \"4.49\", \"bbox\": [441, 113, 456, 121]}, {\"cell\": \"2.16\", \"bbox\": [485, 113, 501, 121]}, {\"cell\": \"Leisure\", \"bbox\": [0, 125, 24, 133]}, {\"cell\": \"2.89\", \"bbox\": [120, 125, 136, 133]}, {\"cell\": \"0.90\", \"bbox\": [176, 125, 191, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 125, 245, 133]}, {\"cell\": \"1.17\", \"bbox\": [283, 125, 298, 133]}, {\"cell\": \"0.56\", \"bbox\": [338, 125, 353, 133]}, {\"cell\": \"1.11\", \"bbox\": [387, 125, 403, 133]}, {\"cell\": \"1.67\", \"bbox\": [441, 125, 456, 133]}, {\"cell\": \"2.11\", \"bbox\": [485, 125, 501, 133]}, {\"cell\": \"<b>DUTIES HIGHER</b>\", \"bbox\": [2, 136, 59, 145]}, {\"cell\": \"Clout/status\", \"bbox\": [0, 148, 39, 157]}, {\"cell\": \"24.73\", \"bbox\": [116, 148, 136, 157]}, {\"cell\": \"34.59\", \"bbox\": [172, 148, 191, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 148, 245, 157]}, {\"cell\": \"37.02\", \"bbox\": [279, 148, 298, 157]}, {\"cell\": \"75.37\", \"bbox\": [334, 148, 353, 157]}, {\"cell\": \"56.27\", \"bbox\": [383, 148, 403, 157]}, {\"cell\": \"68.17\", \"bbox\": [437, 148, 456, 157]}, {\"cell\": \"63.02\", \"bbox\": [481, 148, 501, 157]}, {\"cell\": \"Words per sentence\", \"bbox\": [0, 160, 63, 168]}, {\"cell\": \"15.52\", \"bbox\": [116, 160, 136, 168]}, {\"cell\": \"18.26\", \"bbox\": [172, 160, 191, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 160, 245, 168]}, {\"cell\": \"18.42\", \"bbox\": [279, 160, 298, 168]}, {\"cell\": \"16.13\", \"bbox\": [334, 160, 353, 168]}, {\"cell\": \"–\", \"bbox\": [390, 160, 396, 168]}, {\"cell\": \"21.94\", \"bbox\": [437, 160, 456, 168]}, {\"cell\": \"12.10\", \"bbox\": [481, 160, 501, 168]}, {\"cell\": \"Total function words\", \"bbox\": [0, 172, 63, 180]}, {\"cell\": \"53.33\", \"bbox\": [116, 172, 136, 180]}, {\"cell\": \"58.40\", \"bbox\": [172, 172, 191, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 172, 245, 180]}, {\"cell\": \"58.27\", \"bbox\": [279, 172, 298, 180]}, {\"cell\": \"54.51\", \"bbox\": [334, 172, 353, 180]}, {\"cell\": \"56.86\", \"bbox\": [383, 172, 403, 180]}, {\"cell\": \"42.39\", \"bbox\": [437, 172, 456, 180]}, {\"cell\": \"46.08\", \"bbox\": [481, 172, 501, 180]}, {\"cell\": \"Total pronouns\", \"bbox\": [0, 183, 47, 192]}, {\"cell\": \"15.54\", \"bbox\": [116, 183, 136, 192]}, {\"cell\": \"19.24\", \"bbox\": [172, 183, 191, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 183, 245, 192]}, {\"cell\": \"18.03\", \"bbox\": [279, 183, 298, 192]}, {\"cell\": \"15.15\", \"bbox\": [334, 183, 353, 192]}, {\"cell\": \"20.92\", \"bbox\": [383, 183, 403, 192]}, {\"cell\": \"7.41\", \"bbox\": [441, 183, 456, 192]}, {\"cell\": \"13.62\", \"bbox\": [481, 183, 501, 192]}, {\"cell\": \"Personal pronouns\", \"bbox\": [0, 195, 59, 204]}, {\"cell\": \"12.31\", \"bbox\": [116, 195, 136, 204]}, {\"cell\": \"14.80\", \"bbox\": [172, 195, 191, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 195, 245, 204]}, {\"cell\": \"12.74\", \"bbox\": [279, 195, 298, 204]}, {\"cell\": \"10.35\", \"bbox\": [334, 195, 353, 204]}, {\"cell\": \"13.37\", \"bbox\": [383, 195, 403, 204]}, {\"cell\": \"3.56\", \"bbox\": [441, 195, 456, 204]}, {\"cell\": \"9.02\", \"bbox\": [485, 195, 501, 204]}, {\"cell\": \"Third person singular\", \"bbox\": [0, 207, 65, 215]}, {\"cell\": \"0.20\", \"bbox\": [120, 207, 136, 215]}, {\"cell\": \"1.86\", \"bbox\": [176, 207, 191, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 207, 245, 215]}, {\"cell\": \"2.01\", \"bbox\": [283, 207, 298, 215]}, {\"cell\": \"4.80\", \"bbox\": [338, 207, 353, 215]}, {\"cell\": \"0.77\", \"bbox\": [387, 207, 403, 215]}, {\"cell\": \"1.53\", \"bbox\": [441, 207, 456, 215]}, {\"cell\": \"0.64\", \"bbox\": [485, 207, 501, 215]}, {\"cell\": \"Conjunctions\", \"bbox\": [0, 219, 42, 227]}, {\"cell\": \"4.69\", \"bbox\": [120, 219, 136, 227]}, {\"cell\": \"6.62\", \"bbox\": [176, 219, 191, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 219, 245, 227]}, {\"cell\": \"7.46\", \"bbox\": [283, 219, 298, 227]}, {\"cell\": \"6.28\", \"bbox\": [338, 219, 353, 227]}, {\"cell\": \"6.21\", \"bbox\": [387, 219, 403, 227]}, {\"cell\": \"4.85\", \"bbox\": [441, 219, 456, 227]}, {\"cell\": \"4.19\", \"bbox\": [485, 219, 501, 227]}, {\"cell\": \"Negations\", \"bbox\": [0, 230, 33, 239]}, {\"cell\": \"0.42\", \"bbox\": [120, 230, 136, 239]}, {\"cell\": \"1.27\", \"bbox\": [176, 230, 191, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 230, 245, 239]}, {\"cell\": \"1.69\", \"bbox\": [283, 230, 298, 239]}, {\"cell\": \"1.68\", \"bbox\": [338, 230, 353, 239]}, {\"cell\": \"2.42\", \"bbox\": [387, 230, 403, 239]}, {\"cell\": \"0.62\", \"bbox\": [441, 230, 456, 239]}, {\"cell\": \"1.74\", \"bbox\": [485, 230, 501, 239]}, {\"cell\": \"Negative emotion\", \"bbox\": [0, 242, 55, 251]}, {\"cell\": \"0.41\", \"bbox\": [120, 242, 136, 251]}, {\"cell\": \"1.53\", \"bbox\": [176, 242, 191, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 242, 245, 251]}, {\"cell\": \"2.12\", \"bbox\": [283, 242, 298, 251]}, {\"cell\": \"2.08\", \"bbox\": [338, 242, 353, 251]}, {\"cell\": \"1.19\", \"bbox\": [387, 242, 403, 251]}, {\"cell\": \"1.45\", \"bbox\": [441, 242, 456, 251]}, {\"cell\": \"2.14\", \"bbox\": [485, 242, 501, 251]}, {\"cell\": \"Social processes\", \"bbox\": [0, 254, 53, 262]}, {\"cell\": \"4.39\", \"bbox\": [120, 254, 136, 262]}, {\"cell\": \"9.82\", \"bbox\": [176, 254, 191, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 254, 245, 262]}, {\"cell\": \"8.69\", \"bbox\": [283, 254, 298, 262]}, {\"cell\": \"12.26\", \"bbox\": [334, 254, 353, 262]}, {\"cell\": \"10.42\", \"bbox\": [383, 254, 403, 262]}, {\"cell\": \"7.62\", \"bbox\": [441, 254, 456, 262]}, {\"cell\": \"10.47\", \"bbox\": [481, 254, 501, 262]}, {\"cell\": \"Family\", \"bbox\": [0, 265, 21, 274]}, {\"cell\": \"0.70\", \"bbox\": [120, 265, 136, 274]}, {\"cell\": \"2.01\", \"bbox\": [176, 265, 191, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 265, 245, 274]}, {\"cell\": \"0.77\", \"bbox\": [283, 265, 298, 274]}, {\"cell\": \"0.39\", \"bbox\": [338, 265, 353, 274]}, {\"cell\": \"0.31\", \"bbox\": [387, 265, 403, 274]}, {\"cell\": \"0.33\", \"bbox\": [441, 265, 456, 274]}, {\"cell\": \"0.36\", \"bbox\": [485, 265, 501, 274]}, {\"cell\": \"Friends\", \"bbox\": [0, 277, 24, 286]}, {\"cell\": \"0.15\", \"bbox\": [120, 277, 136, 286]}, {\"cell\": \"0.92\", \"bbox\": [176, 277, 191, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 277, 245, 286]}, {\"cell\": \"0.55\", \"bbox\": [283, 277, 298, 286]}, {\"cell\": \"0.25\", \"bbox\": [338, 277, 353, 286]}, {\"cell\": \"0.37\", \"bbox\": [387, 277, 403, 286]}, {\"cell\": \"0.18\", \"bbox\": [441, 277, 456, 286]}, {\"cell\": \"0.43\", \"bbox\": [485, 277, 501, 286]}, {\"cell\": \"Female references\", \"bbox\": [0, 289, 57, 297]}, {\"cell\": \"0.31\", \"bbox\": [120, 289, 136, 297]}, {\"cell\": \"2.03\", \"bbox\": [176, 289, 191, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 289, 245, 297]}, {\"cell\": \"1.37\", \"bbox\": [283, 289, 298, 297]}, {\"cell\": \"1.88\", \"bbox\": [338, 289, 353, 297]}, {\"cell\": \"0.55\", \"bbox\": [387, 289, 403, 297]}, {\"cell\": \"0.62\", \"bbox\": [441, 289, 456, 297]}, {\"cell\": \"0.54\", \"bbox\": [485, 289, 501, 297]}, {\"cell\": \"Male references\", \"bbox\": [0, 301, 50, 309]}, {\"cell\": \"0.41\", \"bbox\": [120, 301, 136, 309]}, {\"cell\": \"1.38\", \"bbox\": [176, 301, 191, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 301, 245, 309]}, {\"cell\": \"1.47\", \"bbox\": [283, 301, 298, 309]}, {\"cell\": \"4.09\", \"bbox\": [338, 301, 353, 309]}, {\"cell\": \"0.80\", \"bbox\": [387, 301, 403, 309]}, {\"cell\": \"1.38\", \"bbox\": [441, 301, 456, 309]}, {\"cell\": \"0.84\", \"bbox\": [485, 301, 501, 309]}, {\"cell\": \"Differentiation\", \"bbox\": [0, 312, 43, 321]}, {\"cell\": \"1.31\", \"bbox\": [120, 312, 136, 321]}, {\"cell\": \"2.67\", \"bbox\": [176, 312, 191, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 312, 245, 321]}, {\"cell\": \"3.40\", \"bbox\": [283, 312, 298, 321]}, {\"cell\": \"2.82\", \"bbox\": [338, 312, 353, 321]}, {\"cell\": \"3.73\", \"bbox\": [387, 312, 403, 321]}, {\"cell\": \"2.03\", \"bbox\": [441, 312, 456, 321]}, {\"cell\": \"2.62\", \"bbox\": [485, 312, 501, 321]}, {\"cell\": \"Affiliation\", \"bbox\": [0, 324, 29, 333]}, {\"cell\": \"1.45\", \"bbox\": [120, 324, 136, 333]}, {\"cell\": \"3.39\", \"bbox\": [176, 324, 191, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 324, 245, 333]}, {\"cell\": \"2.45\", \"bbox\": [283, 324, 298, 333]}, {\"cell\": \"1.39\", \"bbox\": [338, 324, 353, 333]}, {\"cell\": \"2.06\", \"bbox\": [387, 324, 403, 333]}, {\"cell\": \"1.69\", \"bbox\": [441, 324, 456, 333]}, {\"cell\": \"2.53\", \"bbox\": [485, 324, 501, 333]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5964360_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}690{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Overall impression of health care reform</b></td><td colspan=\\\"2\\\"><b>Affordable coverage</b></td><td colspan=\\\"2\\\"><b>Coverage for everyone</b></td><td colspan=\\\"2\\\"><b>Preexisting conditions</b></td><td colspan=\\\"2\\\"><b>Coverage of children up to age 26</b></td><td colspan=\\\"2\\\"><b>Individual mandate requiring health insurance</b></td></tr><tr><td><b>Predictors</b></td><td><b>AOR</b></td><td><b><i>P </i></b></td><td><b>AOR</b></td><td><b><i>P </i></b></td><td><b>AOR</b></td><td><b><i>P </i></b></td><td><b>AOR</b></td><td><b><i>P </i></b></td><td><b>AOR</b></td><td><b><i>P </i></b></td><td><b>AOR</b></td><td><b><i>P </i></b></td></tr></thead><tbody><tr><td>Female</td><td><b>2.05</b></td><td><b>0.007</b></td><td>1.82</td><td>0.230</td><td><b>2.24</b></td><td><b>0.012</b></td><td>1.82</td><td>0.149</td><td>1.11</td><td>[EMPTY_CELL]</td><td><b>2.10</b></td><td><b>0.002</b></td></tr><tr><td>Nonwhite</td><td>2.59</td><td>0.083</td><td>+</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.51</td><td>0.382</td><td>0.99</td><td>[EMPTY_CELL]</td><td><b>8.78</b></td><td><b>0.001</b></td></tr><tr><td>Age</td><td>1.00</td><td>0.744</td><td>1.00</td><td>0.973</td><td>0.99</td><td>0.286</td><td>0.99</td><td>0.566</td><td><b>0.98</b></td><td>[EMPTY_CELL]</td><td>0.99</td><td>0.296</td></tr><tr><td>Income</td><td>1.00</td><td>0.136</td><td>1.00</td><td>0.276</td><td>1.00</td><td>0.537</td><td>1.00</td><td>0.904</td><td><b>0.99</b></td><td>[EMPTY_CELL]</td><td>1.00</td><td>0.451</td></tr><tr><td>Some college</td><td>0.94</td><td>0.832</td><td>0.75</td><td>0.566</td><td>1.28</td><td>0.460</td><td>0.86</td><td>0.726</td><td><b>0.48</b></td><td>[EMPTY_CELL]</td><td>0.97</td><td>0.905</td></tr><tr><td>Democrat</td><td><b>5.98</b></td><td><b>0.000</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>4.80</b></td><td><b>0.014</b></td><td>2.03</td><td>0.340</td><td><b>3.09</b></td><td>[EMPTY_CELL]</td><td><b>2.62</b></td><td><b>0.002</b></td></tr><tr><td>Republican</td><td><b>0.41</b></td><td><b>0.005</b></td><td>0.46</td><td>0.146</td><td><b>0.54</b></td><td><b>0.044</b></td><td>0.47</td><td>0.087</td><td>0.74</td><td>[EMPTY_CELL]</td><td>0.78</td><td>0.337</td></tr><tr><td>Insured</td><td>1.06</td><td>0.903</td><td>1.42</td><td>0.574</td><td>1.35</td><td>0.515</td><td><b>3.26</b></td><td><b>0.047</b></td><td>0.98</td><td>[EMPTY_CELL]</td><td>1.51</td><td>0.247</td></tr><tr><td>National TV news</td><td><b>1.96</b></td><td><b>0.029</b></td><td><b>4.11</b></td><td><b>0.005</b></td><td><b>3.24</b></td><td>[EMPTY_CELL]</td><td><b>2.47</b></td><td><b>0.040</b></td><td><b>2.11</b></td><td>[EMPTY_CELL]</td><td><b>1.70</b></td><td><b>0.034</b></td></tr><tr><td>Websites</td><td>0.82</td><td>0.433</td><td><b>2.77</b></td><td><b>0.050</b></td><td>0.65</td><td>0.174</td><td>0.49</td><td>0.132</td><td>0.67</td><td>[EMPTY_CELL]</td><td>1.18</td><td>0.507</td></tr><tr><td>Family members</td><td>0.82</td><td>0.460</td><td>0.47</td><td>0.143</td><td>0.65</td><td>0.147</td><td><b>0.38</b></td><td><b>0.044</b></td><td>0.81</td><td>[EMPTY_CELL]</td><td>0.81</td><td>0.386</td></tr><tr><td>Personal reading of legislation</td><td>1.09</td><td>0.735</td><td>0.58</td><td>0.198</td><td>0.59</td><td>0.085</td><td>1.59</td><td>0.308</td><td>1.48</td><td>[EMPTY_CELL]</td><td>0.66</td><td>0.098</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Overall impression of health care reform</b>\", \"bbox\": [78, 4, 149, 35]}, {\"cell\": \"<b>Affordable coverage</b>\", \"bbox\": [168, 9, 208, 30]}, {\"cell\": \"<b>Coverage for everyone</b>\", \"bbox\": [225, 9, 273, 30]}, {\"cell\": \"<b>Preexisting conditions</b>\", \"bbox\": [292, 9, 334, 30]}, {\"cell\": \"<b>Coverage of children up to age 26</b>\", \"bbox\": [353, 4, 398, 35]}, {\"cell\": \"<b>Individual mandate requiring health insurance</b>\", \"bbox\": [416, 4, 484, 35]}, {\"cell\": \"<b>Predictors</b>\", \"bbox\": [2, 38, 41, 49]}, {\"cell\": \"<b>AOR</b>\", \"bbox\": [85, 38, 105, 49]}, {\"cell\": \"<b><i>P </i></b>\", \"bbox\": [134, 38, 141, 46]}, {\"cell\": \"<b>AOR</b>\", \"bbox\": [164, 38, 184, 49]}, {\"cell\": \"<b><i>P </i></b>\", \"bbox\": [201, 38, 208, 46]}, {\"cell\": \"<b>AOR</b>\", \"bbox\": [226, 38, 246, 49]}, {\"cell\": \"<b><i>P </i></b>\", \"bbox\": [263, 38, 270, 46]}, {\"cell\": \"<b>AOR</b>\", \"bbox\": [291, 38, 311, 49]}, {\"cell\": \"<b><i>P </i></b>\", \"bbox\": [330, 38, 337, 46]}, {\"cell\": \"<b>AOR</b>\", \"bbox\": [354, 38, 374, 49]}, {\"cell\": \"<b><i>P </i></b>\", \"bbox\": [391, 38, 398, 46]}, {\"cell\": \"<b>AOR</b>\", \"bbox\": [427, 38, 447, 49]}, {\"cell\": \"<b><i>P </i></b>\", \"bbox\": [478, 37, 485, 46]}, {\"cell\": \"Female\", \"bbox\": [2, 52, 30, 62]}, {\"cell\": \"<b>2.05</b>\", \"bbox\": [86, 52, 104, 60]}, {\"cell\": \"<b>0.007</b>\", \"bbox\": [127, 52, 149, 60]}, {\"cell\": \"1.82\", \"bbox\": [166, 52, 181, 62]}, {\"cell\": \"0.230\", \"bbox\": [194, 52, 215, 62]}, {\"cell\": \"<b>2.24</b>\", \"bbox\": [227, 52, 245, 60]}, {\"cell\": \"<b>0.012</b>\", \"bbox\": [256, 52, 277, 60]}, {\"cell\": \"1.82\", \"bbox\": [293, 52, 308, 62]}, {\"cell\": \"0.149\", \"bbox\": [324, 52, 344, 62]}, {\"cell\": \"1.11\", \"bbox\": [358, 52, 371, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 52, 406, 62]}, {\"cell\": \"<b>2.10</b>\", \"bbox\": [428, 52, 445, 60]}, {\"cell\": \"<b>0.002</b>\", \"bbox\": [470, 51, 493, 59]}, {\"cell\": \"Nonwhite\", \"bbox\": [2, 65, 40, 76]}, {\"cell\": \"2.59\", \"bbox\": [87, 65, 103, 76]}, {\"cell\": \"0.083\", \"bbox\": [127, 65, 149, 76]}, {\"cell\": \"+\", \"bbox\": [170, 65, 177, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.51\", \"bbox\": [293, 65, 308, 76]}, {\"cell\": \"0.382\", \"bbox\": [323, 65, 344, 76]}, {\"cell\": \"0.99\", \"bbox\": [356, 65, 373, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 65, 406, 76]}, {\"cell\": \"<b>8.78</b>\", \"bbox\": [428, 65, 446, 73]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [470, 64, 492, 73]}, {\"cell\": \"Age\", \"bbox\": [2, 78, 18, 89]}, {\"cell\": \"1.00\", \"bbox\": [87, 78, 103, 89]}, {\"cell\": \"0.744\", \"bbox\": [127, 78, 149, 89]}, {\"cell\": \"1.00\", \"bbox\": [166, 78, 182, 89]}, {\"cell\": \"0.973\", \"bbox\": [194, 78, 215, 89]}, {\"cell\": \"0.99\", \"bbox\": [227, 78, 245, 89]}, {\"cell\": \"0.286\", \"bbox\": [256, 78, 277, 89]}, {\"cell\": \"0.99\", \"bbox\": [292, 78, 309, 89]}, {\"cell\": \"0.566\", \"bbox\": [323, 78, 345, 89]}, {\"cell\": \"<b>0.98</b>\", \"bbox\": [355, 78, 374, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 78, 406, 87]}, {\"cell\": \"0.99\", \"bbox\": [428, 78, 445, 89]}, {\"cell\": \"0.296\", \"bbox\": [470, 77, 492, 88]}, {\"cell\": \"Income\", \"bbox\": [2, 91, 32, 102]}, {\"cell\": \"1.00\", \"bbox\": [87, 91, 103, 102]}, {\"cell\": \"0.136\", \"bbox\": [128, 91, 148, 102]}, {\"cell\": \"1.00\", \"bbox\": [166, 91, 182, 102]}, {\"cell\": \"0.276\", \"bbox\": [194, 91, 215, 102]}, {\"cell\": \"1.00\", \"bbox\": [228, 91, 244, 102]}, {\"cell\": \"0.537\", \"bbox\": [256, 91, 277, 102]}, {\"cell\": \"1.00\", \"bbox\": [293, 91, 309, 102]}, {\"cell\": \"0.904\", \"bbox\": [323, 91, 345, 102]}, {\"cell\": \"<b>0.99</b>\", \"bbox\": [355, 92, 374, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 92, 406, 100]}, {\"cell\": \"1.00\", \"bbox\": [429, 91, 445, 102]}, {\"cell\": \"0.451\", \"bbox\": [471, 91, 491, 101]}, {\"cell\": \"Some college\", \"bbox\": [2, 105, 51, 115]}, {\"cell\": \"0.94\", \"bbox\": [86, 105, 104, 115]}, {\"cell\": \"0.832\", \"bbox\": [128, 105, 148, 115]}, {\"cell\": \"0.75\", \"bbox\": [165, 105, 182, 115]}, {\"cell\": \"0.566\", \"bbox\": [193, 105, 215, 115]}, {\"cell\": \"1.28\", \"bbox\": [228, 105, 244, 115]}, {\"cell\": \"0.460\", \"bbox\": [256, 105, 278, 115]}, {\"cell\": \"0.86\", \"bbox\": [292, 105, 309, 115]}, {\"cell\": \"0.726\", \"bbox\": [323, 105, 344, 115]}, {\"cell\": \"<b>0.48</b>\", \"bbox\": [355, 105, 374, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 105, 406, 113]}, {\"cell\": \"0.97\", \"bbox\": [428, 105, 445, 115]}, {\"cell\": \"0.905\", \"bbox\": [471, 104, 492, 115]}, {\"cell\": \"Democrat\", \"bbox\": [2, 118, 41, 129]}, {\"cell\": \"<b>5.98</b>\", \"bbox\": [86, 118, 104, 127]}, {\"cell\": \"<b>0.000</b>\", \"bbox\": [126, 118, 150, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>4.80</b>\", \"bbox\": [227, 118, 245, 127]}, {\"cell\": \"<b>0.014</b>\", \"bbox\": [256, 118, 277, 127]}, {\"cell\": \"2.03\", \"bbox\": [292, 118, 309, 129]}, {\"cell\": \"0.340\", \"bbox\": [323, 118, 345, 129]}, {\"cell\": \"<b>3.09</b>\", \"bbox\": [355, 118, 373, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [384, 118, 406, 127]}, {\"cell\": \"<b>2.62</b>\", \"bbox\": [428, 118, 445, 127]}, {\"cell\": \"<b>0.002</b>\", \"bbox\": [470, 117, 493, 126]}, {\"cell\": \"Republican\", \"bbox\": [2, 131, 45, 142]}, {\"cell\": \"<b>0.41</b>\", \"bbox\": [86, 131, 103, 140]}, {\"cell\": \"<b>0.005</b>\", \"bbox\": [127, 131, 149, 140]}, {\"cell\": \"0.46\", \"bbox\": [165, 131, 182, 142]}, {\"cell\": \"0.146\", \"bbox\": [194, 131, 214, 142]}, {\"cell\": \"<b>0.54</b>\", \"bbox\": [227, 131, 245, 140]}, {\"cell\": \"<b>0.044</b>\", \"bbox\": [255, 131, 278, 140]}, {\"cell\": \"0.47\", \"bbox\": [292, 131, 309, 142]}, {\"cell\": \"0.087\", \"bbox\": [323, 131, 344, 142]}, {\"cell\": \"0.74\", \"bbox\": [356, 131, 373, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 131, 405, 142]}, {\"cell\": \"0.78\", \"bbox\": [428, 131, 445, 142]}, {\"cell\": \"0.337\", \"bbox\": [471, 130, 491, 141]}, {\"cell\": \"Insured\", \"bbox\": [2, 145, 32, 155]}, {\"cell\": \"1.06\", \"bbox\": [87, 145, 103, 155]}, {\"cell\": \"0.903\", \"bbox\": [127, 145, 149, 155]}, {\"cell\": \"1.42\", \"bbox\": [166, 145, 182, 155]}, {\"cell\": \"0.574\", \"bbox\": [194, 145, 215, 155]}, {\"cell\": \"1.35\", \"bbox\": [228, 145, 243, 155]}, {\"cell\": \"0.515\", \"bbox\": [257, 145, 276, 155]}, {\"cell\": \"<b>3.26</b>\", \"bbox\": [292, 145, 310, 153]}, {\"cell\": \"<b>0.047</b>\", \"bbox\": [322, 145, 345, 153]}, {\"cell\": \"0.98\", \"bbox\": [356, 145, 373, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 145, 405, 155]}, {\"cell\": \"1.51\", \"bbox\": [430, 145, 444, 155]}, {\"cell\": \"0.247\", \"bbox\": [471, 144, 492, 154]}, {\"cell\": \"National TV news\", \"bbox\": [2, 158, 70, 168]}, {\"cell\": \"<b>1.96</b>\", \"bbox\": [86, 158, 103, 166]}, {\"cell\": \"<b>0.029</b>\", \"bbox\": [127, 158, 149, 166]}, {\"cell\": \"<b>4.11</b>\", \"bbox\": [166, 158, 181, 166]}, {\"cell\": \"<b>0.005</b>\", \"bbox\": [193, 158, 216, 166]}, {\"cell\": \"<b>3.24</b>\", \"bbox\": [227, 158, 245, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 155, 280, 170]}, {\"cell\": \"<b>2.47</b>\", \"bbox\": [292, 158, 310, 166]}, {\"cell\": \"<b>0.040</b>\", \"bbox\": [322, 158, 345, 166]}, {\"cell\": \"<b>2.11</b>\", \"bbox\": [357, 158, 372, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [383, 158, 407, 166]}, {\"cell\": \"<b>1.70</b>\", \"bbox\": [428, 158, 445, 166]}, {\"cell\": \"<b>0.034</b>\", \"bbox\": [470, 157, 493, 165]}, {\"cell\": \"Websites\", \"bbox\": [2, 171, 36, 182]}, {\"cell\": \"0.82\", \"bbox\": [86, 171, 103, 182]}, {\"cell\": \"0.433\", \"bbox\": [128, 171, 148, 182]}, {\"cell\": \"<b>2.77</b>\", \"bbox\": [165, 171, 182, 180]}, {\"cell\": \"<b>0.050</b>\", \"bbox\": [193, 171, 216, 180]}, {\"cell\": \"0.65\", \"bbox\": [227, 171, 244, 182]}, {\"cell\": \"0.174\", \"bbox\": [257, 171, 276, 182]}, {\"cell\": \"0.49\", \"bbox\": [292, 171, 309, 182]}, {\"cell\": \"0.132\", \"bbox\": [324, 171, 343, 182]}, {\"cell\": \"0.67\", \"bbox\": [356, 171, 373, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 171, 405, 182]}, {\"cell\": \"1.18\", \"bbox\": [429, 171, 444, 182]}, {\"cell\": \"0.507\", \"bbox\": [471, 170, 492, 181]}, {\"cell\": \"Family members\", \"bbox\": [2, 184, 64, 195]}, {\"cell\": \"0.82\", \"bbox\": [86, 184, 103, 195]}, {\"cell\": \"0.460\", \"bbox\": [127, 184, 149, 195]}, {\"cell\": \"0.47\", \"bbox\": [165, 184, 182, 195]}, {\"cell\": \"0.143\", \"bbox\": [194, 184, 214, 195]}, {\"cell\": \"0.65\", \"bbox\": [227, 184, 244, 195]}, {\"cell\": \"0.147\", \"bbox\": [257, 184, 276, 195]}, {\"cell\": \"<b>0.38</b>\", \"bbox\": [292, 184, 310, 193]}, {\"cell\": \"<b>0.044</b>\", \"bbox\": [322, 184, 345, 193]}, {\"cell\": \"0.81\", \"bbox\": [357, 184, 372, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 184, 405, 195]}, {\"cell\": \"0.81\", \"bbox\": [429, 184, 444, 195]}, {\"cell\": \"0.386\", \"bbox\": [471, 183, 492, 194]}, {\"cell\": \"Personal reading of legislation\", \"bbox\": [2, 197, 74, 218]}, {\"cell\": \"1.09\", \"bbox\": [87, 202, 103, 213]}, {\"cell\": \"0.735\", \"bbox\": [128, 202, 148, 213]}, {\"cell\": \"0.58\", \"bbox\": [165, 202, 182, 213]}, {\"cell\": \"0.198\", \"bbox\": [194, 202, 214, 213]}, {\"cell\": \"0.59\", \"bbox\": [227, 202, 244, 213]}, {\"cell\": \"0.085\", \"bbox\": [256, 202, 277, 213]}, {\"cell\": \"1.59\", \"bbox\": [293, 202, 308, 213]}, {\"cell\": \"0.308\", \"bbox\": [323, 202, 344, 213]}, {\"cell\": \"1.48\", \"bbox\": [356, 202, 372, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [385, 202, 405, 213]}, {\"cell\": \"0.66\", \"bbox\": [428, 202, 445, 213]}, {\"cell\": \"0.098\", \"bbox\": [470, 201, 492, 212]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4090454_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}691{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Characteristics</b></td><td colspan=\\\"2\\\"><b>Non- Fracture<i>N</i> = 234 (87.3%)</b></td><td colspan=\\\"2\\\"><b>Fracture<i>N</i> = 34 (12.7%)</b></td><td rowspan=\\\"2\\\"><b><i>p</i>*</b></td></tr><tr><td><b><i>N</i></b></td><td><b>%, or mean ± SD</b></td><td><b><i>N</i></b></td><td><b>%, or mean ± SD</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">Gender</td></tr><tr><td> Males</td><td>141</td><td>60.3</td><td>[EMPTY_CELL]</td><td>55.9</td><td rowspan=\\\"2\\\">0.030</td></tr><tr><td> Females</td><td>93</td><td>39.7</td><td>[EMPTY_CELL]</td><td>44.1</td></tr><tr><td colspan=\\\"6\\\">Age, years</td></tr><tr><td> Mean</td><td>[EMPTY_CELL]</td><td>22.8 ± 15.2</td><td>[EMPTY_CELL]</td><td>23.5 ± 19.1</td><td>0.836</td></tr><tr><td>≤ 10</td><td>24</td><td>10.3</td><td>[EMPTY_CELL]</td><td>14.7</td><td rowspan=\\\"3\\\">0.626</td></tr><tr><td> 10–20</td><td>124</td><td>53.0</td><td>[EMPTY_CELL]</td><td>55.9</td></tr><tr><td>> 20</td><td>84</td><td>35.9</td><td>[EMPTY_CELL]</td><td>29.4</td></tr><tr><td colspan=\\\"6\\\">Stage of tumor <sup>a</sup></td></tr><tr><td> IB</td><td>4</td><td>3.2</td><td>[EMPTY_CELL]</td><td>0</td><td rowspan=\\\"3\\\">0.112</td></tr><tr><td> IIB</td><td>202</td><td>86.3</td><td>[EMPTY_CELL]</td><td>79.4</td></tr><tr><td> III</td><td>28</td><td>22.6</td><td>[EMPTY_CELL]</td><td>38.9</td></tr><tr><td>Tumor size, mm<sup>2</sup></td><td>148</td><td>363.7 ± 641.1</td><td>[EMPTY_CELL]</td><td>389.4 ± 845.9</td><td>0.907</td></tr><tr><td colspan=\\\"6\\\">Tumor location</td></tr><tr><td> Femur</td><td>94</td><td>40.2</td><td>[EMPTY_CELL]</td><td>52.9</td><td rowspan=\\\"6\\\">0.020</td></tr><tr><td> Tibia</td><td>49</td><td>20.9</td><td>[EMPTY_CELL]</td><td>8.8</td></tr><tr><td> Humerus</td><td>16</td><td>6.8</td><td>[EMPTY_CELL]</td><td>29.4</td></tr><tr><td> Fibula</td><td>6</td><td>2.6</td><td>[EMPTY_CELL]</td><td>2.9</td></tr><tr><td> Others <sup>b</sup></td><td>21</td><td>9.0</td><td>[EMPTY_CELL]</td><td>5.9</td></tr><tr><td> Not Specified</td><td>48</td><td>20.5</td><td>[EMPTY_CELL]</td><td>0.0</td></tr><tr><td colspan=\\\"6\\\">Lung metastasis <sup>c</sup></td></tr><tr><td> No</td><td>159</td><td>67.9</td><td>[EMPTY_CELL]</td><td>50.0</td><td rowspan=\\\"2\\\">0.039</td></tr><tr><td> Yes</td><td>75</td><td>32.1</td><td>[EMPTY_CELL]</td><td>50.0</td></tr><tr><td colspan=\\\"6\\\">Necrosis rate, %</td></tr><tr><td>< 90% (poor)</td><td>41</td><td>31.1</td><td>[EMPTY_CELL]</td><td>44.8</td><td rowspan=\\\"3\\\">0.351</td></tr><tr><td>≥ 90% (good)</td><td>65</td><td>49.2</td><td>[EMPTY_CELL]</td><td>41.4</td></tr><tr><td> No preoperative C/T <sup>d</sup></td><td>26</td><td>19.7</td><td>[EMPTY_CELL]</td><td>13.8</td></tr><tr><td colspan=\\\"6\\\">Local recurrence</td></tr><tr><td> No</td><td>183</td><td>78.2</td><td>[EMPTY_CELL]</td><td>76.5</td><td rowspan=\\\"2\\\">0.820</td></tr><tr><td> Yes</td><td>51</td><td>21.8</td><td>[EMPTY_CELL]</td><td>23.5</td></tr><tr><td colspan=\\\"6\\\">Status until last follow up</td></tr><tr><td> No evidence of disease</td><td>108</td><td>46.4</td><td>[EMPTY_CELL]</td><td>47.1</td><td rowspan=\\\"3\\\">0.904</td></tr><tr><td> Alive with disease</td><td>35</td><td>15.1</td><td>[EMPTY_CELL]</td><td>17.6</td></tr><tr><td> Died of disease</td><td>89</td><td>38.4</td><td>[EMPTY_CELL]</td><td>35.3</td></tr><tr><td>Duration to recurrence, months</td><td>41</td><td>23.1 ± 20.9</td><td>[EMPTY_CELL]</td><td>12.8 ± 9.4</td><td>0.084</td></tr><tr><td>Follow up duration, months</td><td>234</td><td>68.0 ± 52.1</td><td>[EMPTY_CELL]</td><td>65.2 ± 57.7</td><td>0.362</td></tr><tr><td>Overall survival, months</td><td>234</td><td>65.7 ± 48.9</td><td>[EMPTY_CELL]</td><td>56.4 ± 52.3</td><td>0.338</td></tr><tr><td>Progression free survival, months</td><td>134</td><td>67.9 ± 52.0</td><td>[EMPTY_CELL]</td><td>65.2 ± 57.7</td><td>0.841</td></tr><tr><td>Disease-free survival, months</td><td>108</td><td>87.1 ± 48.1</td><td>[EMPTY_CELL]</td><td>80.8 ± 55.1</td><td>0.667</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"<b>Non- Fracture<i>N</i> = 234 (87.3%)</b>\", \"bbox\": [153, 4, 204, 22]}, {\"cell\": \"<b>Fracture<i>N</i> = 34 (12.7%)</b>\", \"bbox\": [311, 4, 359, 22]}, {\"cell\": \"<b><i>p</i>*</b>\", \"bbox\": [466, 4, 475, 13]}, {\"cell\": \"<b><i>N</i></b>\", \"bbox\": [153, 26, 160, 35]}, {\"cell\": \"<b>%, or mean ± SD</b>\", \"bbox\": [211, 26, 266, 36]}, {\"cell\": \"<b><i>N</i></b>\", \"bbox\": [311, 26, 318, 35]}, {\"cell\": \"<b>%, or mean ± SD</b>\", \"bbox\": [366, 26, 421, 36]}, {\"cell\": \"Gender\", \"bbox\": [1, 39, 26, 49]}, {\"cell\": \" Males\", \"bbox\": [9, 53, 29, 63]}, {\"cell\": \"141\", \"bbox\": [153, 53, 166, 63]}, {\"cell\": \"60.3\", \"bbox\": [211, 53, 226, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 53, 321, 63]}, {\"cell\": \"55.9\", \"bbox\": [366, 53, 380, 63]}, {\"cell\": \"0.030\", \"bbox\": [466, 53, 484, 63]}, {\"cell\": \" Females\", \"bbox\": [9, 67, 36, 77]}, {\"cell\": \"93\", \"bbox\": [153, 67, 162, 77]}, {\"cell\": \"39.7\", \"bbox\": [211, 67, 226, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 67, 321, 77]}, {\"cell\": \"44.1\", \"bbox\": [366, 67, 380, 77]}, {\"cell\": \"Age, years\", \"bbox\": [1, 81, 35, 91]}, {\"cell\": \" Mean\", \"bbox\": [9, 95, 28, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"22.8 ± 15.2\", \"bbox\": [211, 95, 247, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"23.5 ± 19.1\", \"bbox\": [366, 95, 401, 105]}, {\"cell\": \"0.836\", \"bbox\": [466, 95, 484, 105]}, {\"cell\": \"≤ 10\", \"bbox\": [10, 109, 27, 119]}, {\"cell\": \"24\", \"bbox\": [153, 109, 162, 119]}, {\"cell\": \"10.3\", \"bbox\": [211, 109, 226, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 109, 317, 119]}, {\"cell\": \"14.7\", \"bbox\": [366, 109, 380, 119]}, {\"cell\": \"0.626\", \"bbox\": [466, 109, 484, 119]}, {\"cell\": \" 10–20\", \"bbox\": [9, 123, 30, 133]}, {\"cell\": \"124\", \"bbox\": [153, 123, 166, 133]}, {\"cell\": \"53.0\", \"bbox\": [211, 123, 226, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 123, 321, 133]}, {\"cell\": \"55.9\", \"bbox\": [366, 123, 380, 133]}, {\"cell\": \"> 20\", \"bbox\": [10, 137, 26, 147]}, {\"cell\": \"84\", \"bbox\": [153, 137, 162, 147]}, {\"cell\": \"35.9\", \"bbox\": [211, 137, 226, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 137, 321, 147]}, {\"cell\": \"29.4\", \"bbox\": [366, 137, 380, 147]}, {\"cell\": \"Stage of tumor <sup>a</sup>\", \"bbox\": [1, 150, 56, 161]}, {\"cell\": \" IB\", \"bbox\": [9, 165, 16, 175]}, {\"cell\": \"4\", \"bbox\": [153, 165, 159, 175]}, {\"cell\": \"3.2\", \"bbox\": [211, 165, 222, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 165, 317, 175]}, {\"cell\": \"0\", \"bbox\": [366, 165, 372, 175]}, {\"cell\": \"0.112\", \"bbox\": [466, 165, 484, 175]}, {\"cell\": \" IIB\", \"bbox\": [9, 179, 18, 189]}, {\"cell\": \"202\", \"bbox\": [153, 179, 166, 189]}, {\"cell\": \"86.3\", \"bbox\": [211, 179, 226, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 179, 321, 189]}, {\"cell\": \"79.4\", \"bbox\": [366, 179, 380, 189]}, {\"cell\": \" III\", \"bbox\": [9, 193, 16, 203]}, {\"cell\": \"28\", \"bbox\": [153, 193, 162, 203]}, {\"cell\": \"22.6\", \"bbox\": [211, 193, 226, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 193, 317, 203]}, {\"cell\": \"38.9\", \"bbox\": [366, 193, 380, 203]}, {\"cell\": \"Tumor size, mm<sup>2</sup>\", \"bbox\": [1, 206, 57, 217]}, {\"cell\": \"148\", \"bbox\": [153, 207, 166, 217]}, {\"cell\": \"363.7 ± 641.1\", \"bbox\": [211, 207, 254, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 207, 321, 217]}, {\"cell\": \"389.4 ± 845.9\", \"bbox\": [366, 207, 409, 217]}, {\"cell\": \"0.907\", \"bbox\": [466, 207, 484, 217]}, {\"cell\": \"Tumor location\", \"bbox\": [1, 221, 51, 231]}, {\"cell\": \" Femur\", \"bbox\": [9, 235, 31, 245]}, {\"cell\": \"94\", \"bbox\": [153, 235, 162, 245]}, {\"cell\": \"40.2\", \"bbox\": [211, 235, 226, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 235, 321, 245]}, {\"cell\": \"52.9\", \"bbox\": [366, 235, 380, 245]}, {\"cell\": \"0.020\", \"bbox\": [466, 235, 484, 245]}, {\"cell\": \" Tibia\", \"bbox\": [9, 249, 25, 259]}, {\"cell\": \"49\", \"bbox\": [153, 249, 162, 259]}, {\"cell\": \"20.9\", \"bbox\": [211, 249, 226, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 249, 317, 259]}, {\"cell\": \"8.8\", \"bbox\": [366, 249, 377, 259]}, {\"cell\": \" Humerus\", \"bbox\": [9, 263, 39, 273]}, {\"cell\": \"16\", \"bbox\": [153, 263, 162, 273]}, {\"cell\": \"6.8\", \"bbox\": [211, 263, 222, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 263, 321, 273]}, {\"cell\": \"29.4\", \"bbox\": [366, 263, 380, 273]}, {\"cell\": \" Fibula\", \"bbox\": [9, 277, 30, 287]}, {\"cell\": \"6\", \"bbox\": [153, 277, 159, 287]}, {\"cell\": \"2.6\", \"bbox\": [211, 277, 222, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 277, 317, 287]}, {\"cell\": \"2.9\", \"bbox\": [366, 277, 377, 287]}, {\"cell\": \" Others <sup>b</sup>\", \"bbox\": [9, 290, 37, 301]}, {\"cell\": \"21\", \"bbox\": [153, 291, 162, 301]}, {\"cell\": \"9.0\", \"bbox\": [211, 291, 222, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 291, 317, 301]}, {\"cell\": \"5.9\", \"bbox\": [366, 291, 377, 301]}, {\"cell\": \" Not Specified\", \"bbox\": [9, 305, 53, 315]}, {\"cell\": \"48\", \"bbox\": [153, 305, 162, 315]}, {\"cell\": \"20.5\", \"bbox\": [211, 305, 226, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 305, 317, 315]}, {\"cell\": \"0.0\", \"bbox\": [366, 305, 377, 315]}, {\"cell\": \"Lung metastasis <sup>c</sup>\", \"bbox\": [1, 318, 59, 329]}, {\"cell\": \" No\", \"bbox\": [9, 333, 20, 343]}, {\"cell\": \"159\", \"bbox\": [153, 333, 166, 343]}, {\"cell\": \"67.9\", \"bbox\": [211, 333, 226, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 333, 321, 343]}, {\"cell\": \"50.0\", \"bbox\": [366, 333, 380, 343]}, {\"cell\": \"0.039\", \"bbox\": [466, 333, 484, 343]}, {\"cell\": \" Yes\", \"bbox\": [9, 347, 21, 357]}, {\"cell\": \"75\", \"bbox\": [153, 347, 162, 357]}, {\"cell\": \"32.1\", \"bbox\": [211, 347, 226, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 347, 321, 357]}, {\"cell\": \"50.0\", \"bbox\": [366, 347, 380, 357]}, {\"cell\": \"Necrosis rate, %\", \"bbox\": [1, 361, 53, 371]}, {\"cell\": \"< 90% (poor)\", \"bbox\": [10, 375, 54, 385]}, {\"cell\": \"41\", \"bbox\": [153, 375, 162, 385]}, {\"cell\": \"31.1\", \"bbox\": [211, 375, 226, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 375, 321, 385]}, {\"cell\": \"44.8\", \"bbox\": [366, 375, 380, 385]}, {\"cell\": \"0.351\", \"bbox\": [466, 375, 484, 385]}, {\"cell\": \"≥ 90% (good)\", \"bbox\": [10, 389, 56, 399]}, {\"cell\": \"65\", \"bbox\": [153, 389, 162, 399]}, {\"cell\": \"49.2\", \"bbox\": [211, 389, 226, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 389, 321, 399]}, {\"cell\": \"41.4\", \"bbox\": [366, 389, 380, 399]}, {\"cell\": \" No preoperative C/T <sup>d</sup>\", \"bbox\": [9, 402, 81, 413]}, {\"cell\": \"26\", \"bbox\": [153, 403, 162, 413]}, {\"cell\": \"19.7\", \"bbox\": [211, 403, 226, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 403, 317, 413]}, {\"cell\": \"13.8\", \"bbox\": [366, 403, 380, 413]}, {\"cell\": \"Local recurrence\", \"bbox\": [1, 417, 55, 427]}, {\"cell\": \" No\", \"bbox\": [9, 431, 20, 441]}, {\"cell\": \"183\", \"bbox\": [153, 431, 166, 441]}, {\"cell\": \"78.2\", \"bbox\": [211, 431, 226, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 431, 321, 441]}, {\"cell\": \"76.5\", \"bbox\": [366, 431, 380, 441]}, {\"cell\": \"0.820\", \"bbox\": [466, 431, 484, 441]}, {\"cell\": \" Yes\", \"bbox\": [9, 445, 21, 455]}, {\"cell\": \"51\", \"bbox\": [153, 445, 162, 455]}, {\"cell\": \"21.8\", \"bbox\": [211, 445, 226, 455]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 445, 317, 455]}, {\"cell\": \"23.5\", \"bbox\": [366, 445, 380, 455]}, {\"cell\": \"Status until last follow up\", \"bbox\": [1, 459, 84, 469]}, {\"cell\": \" No evidence of disease\", \"bbox\": [9, 473, 85, 483]}, {\"cell\": \"108\", \"bbox\": [153, 473, 166, 483]}, {\"cell\": \"46.4\", \"bbox\": [211, 473, 226, 483]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 473, 321, 483]}, {\"cell\": \"47.1\", \"bbox\": [366, 473, 380, 483]}, {\"cell\": \"0.904\", \"bbox\": [466, 473, 484, 483]}, {\"cell\": \" Alive with disease\", \"bbox\": [9, 487, 68, 497]}, {\"cell\": \"35\", \"bbox\": [153, 487, 162, 497]}, {\"cell\": \"15.1\", \"bbox\": [211, 487, 226, 497]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 487, 317, 497]}, {\"cell\": \"17.6\", \"bbox\": [366, 487, 380, 497]}, {\"cell\": \" Died of disease\", \"bbox\": [8, 501, 60, 511]}, {\"cell\": \"89\", \"bbox\": [153, 501, 162, 511]}, {\"cell\": \"38.4\", \"bbox\": [211, 501, 226, 511]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 501, 321, 511]}, {\"cell\": \"35.3\", \"bbox\": [366, 501, 380, 511]}, {\"cell\": \"Duration to recurrence, months\", \"bbox\": [1, 515, 104, 525]}, {\"cell\": \"41\", \"bbox\": [153, 515, 162, 525]}, {\"cell\": \"23.1 ± 20.9\", \"bbox\": [211, 515, 247, 525]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 515, 317, 525]}, {\"cell\": \"12.8 ± 9.4\", \"bbox\": [366, 515, 397, 525]}, {\"cell\": \"0.084\", \"bbox\": [466, 515, 484, 525]}, {\"cell\": \"Follow up duration, months\", \"bbox\": [1, 529, 92, 539]}, {\"cell\": \"234\", \"bbox\": [153, 529, 166, 539]}, {\"cell\": \"68.0 ± 52.1\", \"bbox\": [211, 529, 247, 539]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 529, 321, 539]}, {\"cell\": \"65.2 ± 57.7\", \"bbox\": [366, 529, 401, 539]}, {\"cell\": \"0.362\", \"bbox\": [466, 529, 484, 539]}, {\"cell\": \"Overall survival, months\", \"bbox\": [1, 543, 79, 553]}, {\"cell\": \"234\", \"bbox\": [153, 543, 166, 553]}, {\"cell\": \"65.7 ± 48.9\", \"bbox\": [211, 543, 247, 553]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 543, 321, 553]}, {\"cell\": \"56.4 ± 52.3\", \"bbox\": [366, 543, 401, 553]}, {\"cell\": \"0.338\", \"bbox\": [466, 543, 484, 553]}, {\"cell\": \"Progression free survival, months\", \"bbox\": [1, 557, 108, 567]}, {\"cell\": \"134\", \"bbox\": [153, 557, 166, 567]}, {\"cell\": \"67.9 ± 52.0\", \"bbox\": [211, 557, 247, 567]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 557, 321, 567]}, {\"cell\": \"65.2 ± 57.7\", \"bbox\": [366, 557, 401, 567]}, {\"cell\": \"0.841\", \"bbox\": [466, 557, 484, 567]}, {\"cell\": \"Disease-free survival, months\", \"bbox\": [1, 571, 95, 581]}, {\"cell\": \"108\", \"bbox\": [153, 571, 166, 581]}, {\"cell\": \"87.1 ± 48.1\", \"bbox\": [211, 571, 247, 581]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [311, 571, 321, 581]}, {\"cell\": \"80.8 ± 55.1\", \"bbox\": [366, 571, 401, 581]}, {\"cell\": \"0.667\", \"bbox\": [466, 571, 484, 581]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5192576_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}692{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Training set (total/events)</b></td><td><b>Validation set (total/events)</b></td><td><b>Hazard ratio (95%CI)</b></td><td><b>Log rank p value</b></td><td colspan=\\\"3\\\"><b>Distant Metastases Free Survival for low risk group only#</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>DMFS at 3 years</b></td><td><b>DMFS at 5 years</b></td><td><b>DMFS at 10 years</b></td></tr></thead><tbody><tr><td>OXFT (99/19)</td><td>KIT/GUYT(156/48)</td><td>[EMPTY_CELL]</td><td><0.00001</td><td>91%</td><td>87%</td><td>79%</td></tr><tr><td>KIT (69/20)</td><td>OXFT/GUYT (186/47)</td><td>[EMPTY_CELL]</td><td><0.00001</td><td>96%</td><td>92%</td><td>88%</td></tr><tr><td>GUYT (87/28)</td><td>OXFT/KIT (168/39)</td><td>[EMPTY_CELL]</td><td><0.00001</td><td>93%</td><td>89%</td><td>82%</td></tr><tr><td>KIT/GUYT (156/48)</td><td>OXFT (99/19)</td><td>[EMPTY_CELL]</td><td><0.00001</td><td>97%</td><td>94%</td><td>91%</td></tr><tr><td>OXFT/GUYT (186/47)</td><td>KIT (69/20)</td><td>[EMPTY_CELL]</td><td>0.005</td><td>96%</td><td>92%</td><td>84%</td></tr><tr><td>OXFT/KIT(168/39)</td><td>GUYT (87/28)</td><td>[EMPTY_CELL]</td><td>0.03</td><td>96%</td><td>92%</td><td>84%</td></tr><tr><td colspan=\\\"2\\\"><b>Leave-one-out cross validation (255/67)*</b></td><td>3.86 (2.32–6.41)</td><td>[EMPTY_CELL]</td><td>94%</td><td>91%</td><td>84%</td></tr><tr><td colspan=\\\"2\\\"><b>Multiple 10-fold cross-validation (255/67)</b></td><td>3.23 (2.66–3.84)</td><td>[EMPTY_CELL]</td><td>94%</td><td>90%</td><td>83%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Training set (total/events)</b>\", \"bbox\": [11, 3, 85, 21]}, {\"cell\": \"<b>Validation set (total/events)</b>\", \"bbox\": [99, 3, 179, 21]}, {\"cell\": \"<b>Hazard ratio (95%CI)</b>\", \"bbox\": [194, 3, 245, 21]}, {\"cell\": \"<b>Log rank p value</b>\", \"bbox\": [260, 3, 303, 21]}, {\"cell\": \"<b>Distant Metastases Free Survival for low risk group only#</b>\", \"bbox\": [320, 3, 493, 21]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DMFS at 3 years</b>\", \"bbox\": [312, 34, 369, 44]}, {\"cell\": \"<b>DMFS at 5 years</b>\", \"bbox\": [376, 34, 433, 44]}, {\"cell\": \"<b>DMFS at 10 years</b>\", \"bbox\": [440, 34, 501, 44]}, {\"cell\": \"OXFT (99/19)\", \"bbox\": [23, 56, 73, 66]}, {\"cell\": \"KIT/GUYT(156/48)\", \"bbox\": [105, 56, 172, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 56, 245, 66]}, {\"cell\": \"<0.00001\", \"bbox\": [265, 56, 299, 66]}, {\"cell\": \"91%\", \"bbox\": [333, 56, 349, 66]}, {\"cell\": \"87%\", \"bbox\": [397, 56, 413, 66]}, {\"cell\": \"79%\", \"bbox\": [463, 56, 479, 66]}, {\"cell\": \"KIT (69/20)\", \"bbox\": [27, 67, 68, 76]}, {\"cell\": \"OXFT/GUYT (186/47)\", \"bbox\": [100, 67, 178, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 67, 247, 76]}, {\"cell\": \"<0.00001\", \"bbox\": [265, 67, 299, 76]}, {\"cell\": \"96%\", \"bbox\": [333, 67, 349, 76]}, {\"cell\": \"92%\", \"bbox\": [397, 67, 413, 76]}, {\"cell\": \"88%\", \"bbox\": [463, 67, 479, 76]}, {\"cell\": \"GUYT (87/28)\", \"bbox\": [23, 77, 73, 86]}, {\"cell\": \"OXFT/KIT (168/39)\", \"bbox\": [105, 77, 173, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 77, 247, 86]}, {\"cell\": \"<0.00001\", \"bbox\": [265, 77, 299, 86]}, {\"cell\": \"93%\", \"bbox\": [333, 77, 349, 86]}, {\"cell\": \"89%\", \"bbox\": [397, 77, 413, 86]}, {\"cell\": \"82%\", \"bbox\": [463, 77, 479, 86]}, {\"cell\": \"KIT/GUYT (156/48)\", \"bbox\": [13, 87, 82, 97]}, {\"cell\": \"OXFT (99/19)\", \"bbox\": [114, 87, 164, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 87, 250, 97]}, {\"cell\": \"<0.00001\", \"bbox\": [265, 87, 299, 97]}, {\"cell\": \"97%\", \"bbox\": [333, 87, 349, 97]}, {\"cell\": \"94%\", \"bbox\": [397, 87, 413, 97]}, {\"cell\": \"91%\", \"bbox\": [463, 87, 479, 97]}, {\"cell\": \"OXFT/GUYT (186/47)\", \"bbox\": [9, 97, 87, 107]}, {\"cell\": \"KIT (69/20)\", \"bbox\": [119, 97, 159, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 97, 247, 107]}, {\"cell\": \"0.005\", \"bbox\": [272, 97, 292, 107]}, {\"cell\": \"96%\", \"bbox\": [333, 97, 349, 107]}, {\"cell\": \"92%\", \"bbox\": [397, 97, 413, 107]}, {\"cell\": \"84%\", \"bbox\": [463, 97, 479, 107]}, {\"cell\": \"OXFT/KIT(168/39)\", \"bbox\": [15, 108, 81, 117]}, {\"cell\": \"GUYT (87/28)\", \"bbox\": [114, 108, 164, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 108, 247, 117]}, {\"cell\": \"0.03\", \"bbox\": [274, 108, 290, 117]}, {\"cell\": \"96%\", \"bbox\": [333, 108, 349, 117]}, {\"cell\": \"92%\", \"bbox\": [397, 108, 413, 117]}, {\"cell\": \"84%\", \"bbox\": [463, 108, 479, 117]}, {\"cell\": \"<b>Leave-one-out cross validation (255/67)*</b>\", \"bbox\": [14, 118, 171, 127]}, {\"cell\": \"3.86 (2.32–6.41)\", \"bbox\": [191, 118, 247, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 118, 296, 127]}, {\"cell\": \"94%\", \"bbox\": [333, 118, 349, 127]}, {\"cell\": \"91%\", \"bbox\": [397, 118, 413, 127]}, {\"cell\": \"84%\", \"bbox\": [463, 118, 479, 127]}, {\"cell\": \"<b>Multiple 10-fold cross-validation (255/67)</b>\", \"bbox\": [14, 128, 171, 138]}, {\"cell\": \"3.23 (2.66–3.84)\", \"bbox\": [191, 128, 247, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 128, 296, 138]}, {\"cell\": \"94%\", \"bbox\": [333, 128, 349, 138]}, {\"cell\": \"90%\", \"bbox\": [397, 128, 413, 138]}, {\"cell\": \"83%\", \"bbox\": [463, 128, 479, 138]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2423197_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}693{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Outcomes</b></td><td><b>Measures used</b></td></tr></thead><tbody><tr><td>Depression score (depression trial only) as a binary outcome at 8 and 12 months and as a continuous variable at 4,8 and 12 months</td><td>[EMPTY_CELL]</td></tr><tr><td>Ten-year CVD risk score (CVD risk trial only) as a binary outcome at 6 months and as a continuous variable at 6 and 12 months</td><td>[EMPTY_CELL]</td></tr><tr><td>Quality of life</td><td>[EMPTY_CELL]</td></tr><tr><td>Patient satisfaction</td><td>[EMPTY_CELL]</td></tr><tr><td>Patient perceived access to care</td><td>[EMPTY_CELL]</td></tr><tr><td>Physical activity</td><td>[EMPTY_CELL]</td></tr><tr><td>Individual cardiovascular risk factors that is blood pressure, cholesterol, smoking status, weight, BMI (CVD risk trial only)</td><td>[EMPTY_CELL]</td></tr><tr><td>Diet (CVD risk trial only)</td><td>[EMPTY_CELL]</td></tr><tr><td>Use of telehealth</td><td>[EMPTY_CELL]</td></tr><tr><td>Internet use and experience</td><td>[EMPTY_CELL]</td></tr><tr><td>Self-management skills and self-efficacy</td><td>[EMPTY_CELL]</td></tr><tr><td>Medication adherence (depression trial asked only about antidepressant medication; CVD trial asked about antihypertensive and cholesterol-lowering medications)</td><td>[EMPTY_CELL]</td></tr><tr><td>Health literacy</td><td>[EMPTY_CELL]</td></tr><tr><td>Care coordination</td><td>[EMPTY_CELL]</td></tr><tr><td>Anxiety (depression trial only)</td><td>[EMPTY_CELL]</td></tr><tr><td>Resource use</td><td>[EMPTY_CELL]</td></tr><tr><td>Demographics</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Outcomes</b>\", \"bbox\": [1, 4, 37, 12]}, {\"cell\": \"<b>Measures used</b>\", \"bbox\": [247, 4, 300, 12]}, {\"cell\": \"Depression score (depression trial only) as a binary outcome at 8 and 12 months and as a continuous variable at 4,8 and 12 months\", \"bbox\": [1, 17, 217, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 17, 283, 27]}, {\"cell\": \"Ten-year CVD risk score (CVD risk trial only) as a binary outcome at 6 months and as a continuous variable at 6 and 12 months\", \"bbox\": [0, 40, 209, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 40, 415, 50]}, {\"cell\": \"Quality of life\", \"bbox\": [0, 63, 45, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 63, 295, 73]}, {\"cell\": \"Patient satisfaction\", \"bbox\": [0, 77, 62, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 77, 455, 96]}, {\"cell\": \"Patient perceived access to care\", \"bbox\": [0, 100, 105, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 100, 484, 110]}, {\"cell\": \"Physical activity\", \"bbox\": [1, 114, 52, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 114, 399, 124]}, {\"cell\": \"Individual cardiovascular risk factors that is blood pressure, cholesterol, smoking status, weight, BMI (CVD risk trial only)\", \"bbox\": [0, 128, 193, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 128, 309, 138]}, {\"cell\": \"Diet (CVD risk trial only)\", \"bbox\": [0, 151, 78, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 151, 359, 161]}, {\"cell\": \"Use of telehealth\", \"bbox\": [1, 165, 57, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 165, 372, 175]}, {\"cell\": \"Internet use and experience\", \"bbox\": [1, 179, 92, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 179, 372, 189]}, {\"cell\": \"Self-management skills and self-efficacy\", \"bbox\": [1, 193, 129, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 193, 477, 221]}, {\"cell\": \"Medication adherence (depression trial asked only about antidepressant medication; CVD trial asked about antihypertensive and cholesterol-lowering medications)\", \"bbox\": [1, 225, 222, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 225, 381, 235]}, {\"cell\": \"Health literacy\", \"bbox\": [0, 257, 48, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 257, 353, 267]}, {\"cell\": \"Care coordination\", \"bbox\": [0, 271, 60, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 271, 464, 281]}, {\"cell\": \"Anxiety (depression trial only)\", \"bbox\": [0, 285, 97, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 285, 284, 295]}, {\"cell\": \"Resource use\", \"bbox\": [1, 299, 45, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 299, 372, 309]}, {\"cell\": \"Demographics\", \"bbox\": [1, 313, 49, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 313, 477, 332]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3906859_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}694{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Population studied</b></td><td><b>Interview</b></td><td><b>Cohen's Kappa</b></td><td><b>Se (%)95% CI</b></td><td><b>Sp (%)95% CI</b></td><td><b>Accuracy(%)95% CI</b></td><td><b>+PV95% CI</b></td><td><b>-PV (%)95% CI</b></td></tr></thead><tbody><tr><td>[12]</td><td>749 smokersAge range: 18-64</td><td>[EMPTY_CELL]</td><td>0.74</td><td>79.6%(70.6-88.5)</td><td>96.5%(95.1-98)</td><td>94.5%(92.8-96.2)</td><td>75.3%(66-85.6)</td><td>97.3%(95.9-98.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>351 males</td><td>[EMPTY_CELL]</td><td>0.72</td><td>78.1%(64.2-91.9)</td><td>96.1%(93.8-98.4)</td><td>94%(91.4-96.6)</td><td>72.7%(58.4-87)</td><td>97.1%(95-99.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>398 females</td><td>[EMPTY_CELL]</td><td>0.76</td><td>80.9%(68.5-93.2)</td><td>96.9%(94.9-98.8)</td><td>95%(92.7-97.3)</td><td>77.6%(64.9-90.3)</td><td>97.4%(95.6-99.2)</td></tr><tr><td>[8]</td><td>1,462 smokers (5 samples from the US and Spain)</td><td>[EMPTY_CELL]</td><td>0.78</td><td>94.4%(92.2-96.7)</td><td>88.1%(86-90.1)</td><td>90%(88.4-91.6)</td><td>77.8%(74.2-81.3)</td><td>97.3%(96.2-98.4)</td></tr><tr><td>[5]</td><td>819 smokersAge range: 15 and over</td><td>[EMPTY_CELL]</td><td>0.71</td><td>85.0%(79.3-90.7)</td><td>91.3%(89-93.5)</td><td>90%(87.9-92.1)</td><td>71.4%(64.8-77.9)</td><td>96.0%(94.3-97.6)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Population studied</b>\", \"bbox\": [26, 4, 100, 14]}, {\"cell\": \"<b>Interview</b>\", \"bbox\": [157, 4, 195, 14]}, {\"cell\": \"<b>Cohen's Kappa</b>\", \"bbox\": [205, 4, 264, 14]}, {\"cell\": \"<b>Se (%)95% CI</b>\", \"bbox\": [275, 4, 303, 23]}, {\"cell\": \"<b>Sp (%)95% CI</b>\", \"bbox\": [319, 4, 348, 23]}, {\"cell\": \"<b>Accuracy(%)95% CI</b>\", \"bbox\": [359, 4, 409, 23]}, {\"cell\": \"<b>+PV95% CI</b>\", \"bbox\": [420, 4, 448, 23]}, {\"cell\": \"<b>-PV (%)95% CI</b>\", \"bbox\": [463, 4, 494, 23]}, {\"cell\": \"[12]\", \"bbox\": [5, 36, 20, 46]}, {\"cell\": \"749 smokersAge range: 18-64\", \"bbox\": [26, 36, 85, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 36, 199, 46]}, {\"cell\": \"0.74\", \"bbox\": [226, 36, 242, 46]}, {\"cell\": \"79.6%(70.6-88.5)\", \"bbox\": [270, 36, 308, 55]}, {\"cell\": \"96.5%(95.1-98)\", \"bbox\": [317, 36, 350, 55]}, {\"cell\": \"94.5%(92.8-96.2)\", \"bbox\": [365, 36, 403, 55]}, {\"cell\": \"75.3%(66-85.6)\", \"bbox\": [418, 36, 450, 55]}, {\"cell\": \"97.3%(95.9-98.6)\", \"bbox\": [459, 36, 497, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"351 males\", \"bbox\": [26, 55, 62, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.72\", \"bbox\": [226, 55, 242, 65]}, {\"cell\": \"78.1%(64.2-91.9)\", \"bbox\": [270, 55, 308, 74]}, {\"cell\": \"96.1%(93.8-98.4)\", \"bbox\": [314, 55, 353, 74]}, {\"cell\": \"94%(91.4-96.6)\", \"bbox\": [365, 55, 403, 74]}, {\"cell\": \"72.7%(58.4-87)\", \"bbox\": [418, 55, 450, 74]}, {\"cell\": \"97.1%(95-99.2)\", \"bbox\": [462, 55, 494, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"398 females\", \"bbox\": [26, 75, 68, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.76\", \"bbox\": [226, 75, 242, 85]}, {\"cell\": \"80.9%(68.5-93.2)\", \"bbox\": [270, 75, 308, 94]}, {\"cell\": \"96.9%(94.9-98.8)\", \"bbox\": [314, 75, 353, 94]}, {\"cell\": \"95%(92.7-97.3)\", \"bbox\": [365, 75, 403, 94]}, {\"cell\": \"77.6%(64.9-90.3)\", \"bbox\": [415, 75, 453, 94]}, {\"cell\": \"97.4%(95.6-99.2)\", \"bbox\": [459, 75, 497, 94]}, {\"cell\": \"[8]\", \"bbox\": [5, 94, 16, 104]}, {\"cell\": \"1,462 smokers (5 samples from the US and Spain)\", \"bbox\": [26, 94, 143, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 94, 199, 104]}, {\"cell\": \"0.78\", \"bbox\": [226, 94, 242, 104]}, {\"cell\": \"94.4%(92.2-96.7)\", \"bbox\": [270, 94, 308, 113]}, {\"cell\": \"88.1%(86-90.1)\", \"bbox\": [317, 94, 350, 113]}, {\"cell\": \"90%(88.4-91.6)\", \"bbox\": [365, 94, 403, 113]}, {\"cell\": \"77.8%(74.2-81.3)\", \"bbox\": [415, 94, 453, 113]}, {\"cell\": \"97.3%(96.2-98.4)\", \"bbox\": [459, 94, 497, 113]}, {\"cell\": \"[5]\", \"bbox\": [5, 114, 16, 124]}, {\"cell\": \"819 smokersAge range: 15 and over\", \"bbox\": [26, 114, 106, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 114, 199, 124]}, {\"cell\": \"0.71\", \"bbox\": [226, 114, 242, 124]}, {\"cell\": \"85.0%(79.3-90.7)\", \"bbox\": [270, 114, 308, 133]}, {\"cell\": \"91.3%(89-93.5)\", \"bbox\": [317, 114, 350, 133]}, {\"cell\": \"90%(87.9-92.1)\", \"bbox\": [365, 114, 403, 133]}, {\"cell\": \"71.4%(64.8-77.9)\", \"bbox\": [415, 114, 453, 133]}, {\"cell\": \"96.0%(94.3-97.6)\", \"bbox\": [459, 114, 497, 133]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2809067_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}695{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Standard</b></td><td><b>Goal</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>To ensure that all Ontarians have access to public health programs.</td></tr><tr><td>[EMPTY_CELL]</td><td>To prevent or reduce adverse health outcomes resulting from exposure to health hazards as defined in the <i>Health Protection and Promotion Act </i>and including biological, physical, and chemical agents, natural or manmade.</td></tr><tr><td>[EMPTY_CELL]</td><td>To ensure that local programs address the health needs of the community, with cost-effective, efficient, evidence-based approaches.</td></tr><tr><td>[EMPTY_CELL]</td><td>To reduce the premature mortality and morbidity from preventable chronic diseases.</td></tr><tr><td>[EMPTY_CELL]</td><td>To reduce mortality from breast cancer and cervical cancer by increasing early detection.</td></tr><tr><td>[EMPTY_CELL]</td><td>To reduce disability, morbidity and mortality caused by motorized vehicles, bicycle crashes, alcohol and other substances, falls in the elderly and to prevent drowning in specific recreational water facilities.</td></tr><tr><td>[EMPTY_CELL]</td><td>To promote healthy sexuality.</td></tr><tr><td>[EMPTY_CELL]</td><td>To support healthy pregnancies.</td></tr><tr><td>[EMPTY_CELL]</td><td>To promote the health of children and youth.</td></tr><tr><td>[EMPTY_CELL]</td><td>To reduce the incidence of infectious diseases of public health importance.</td></tr><tr><td>[EMPTY_CELL]</td><td>To improve the health of the population by reducing the incidence of food-borne illness.</td></tr><tr><td>[EMPTY_CELL]</td><td>To reduce transmission of infectious diseases.</td></tr><tr><td>[EMPTY_CELL]</td><td>To prevent the occurrence of rabies in humans.</td></tr><tr><td>[EMPTY_CELL]</td><td>To reduce the incidence of water-borne illness in the population.</td></tr><tr><td>[EMPTY_CELL]</td><td>To reduce the incidence of and complications from all sexually transmitted diseases (STDs) including HIV/AIDS.</td></tr><tr><td>[EMPTY_CELL]</td><td>To reduce the incidence of tuberculosis (TB).</td></tr><tr><td>[EMPTY_CELL]</td><td>To reduce the incidence of vaccine preventable diseases.</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Standard</b>\", \"bbox\": [4, 5, 42, 12]}, {\"cell\": \"<b>Goal</b>\", \"bbox\": [206, 5, 226, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 49, 36]}, {\"cell\": \"To ensure that all Ontarians have access to public health programs.\", \"bbox\": [206, 27, 433, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 37, 99, 47]}, {\"cell\": \"To prevent or reduce adverse health outcomes resulting from exposure to health hazards as defined in the <i>Health Protection and Promotion Act </i>and including biological, physical, and chemical agents, natural or manmade.\", \"bbox\": [206, 37, 486, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 66, 115, 75]}, {\"cell\": \"To ensure that local programs address the health needs of the community, with cost-effective, efficient, evidence-based approaches.\", \"bbox\": [206, 66, 494, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 85, 100, 95]}, {\"cell\": \"To reduce the premature mortality and morbidity from preventable chronic diseases.\", \"bbox\": [206, 85, 494, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 95, 94, 105]}, {\"cell\": \"To reduce mortality from breast cancer and cervical cancer by increasing early detection.\", \"bbox\": [206, 95, 471, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 115, 193, 125]}, {\"cell\": \"To reduce disability, morbidity and mortality caused by motorized vehicles, bicycle crashes, alcohol and other substances, falls in the elderly and to prevent drowning in specific recreational water facilities.\", \"bbox\": [206, 115, 490, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 144, 52, 153]}, {\"cell\": \"To promote healthy sexuality.\", \"bbox\": [206, 144, 308, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 154, 76, 164]}, {\"cell\": \"To support healthy pregnancies.\", \"bbox\": [206, 154, 315, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 164, 49, 174]}, {\"cell\": \"To promote the health of children and youth.\", \"bbox\": [206, 164, 360, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 174, 108, 184]}, {\"cell\": \"To reduce the incidence of infectious diseases of public health importance.\", \"bbox\": [206, 174, 457, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 185, 46, 194]}, {\"cell\": \"To improve the health of the population by reducing the incidence of food-borne illness.\", \"bbox\": [206, 185, 480, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 204, 65, 214]}, {\"cell\": \"To reduce transmission of infectious diseases.\", \"bbox\": [206, 204, 361, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 214, 57, 224]}, {\"cell\": \"To prevent the occurrence of rabies in humans.\", \"bbox\": [206, 214, 368, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 225, 44, 234]}, {\"cell\": \"To reduce the incidence of water-borne illness in the population.\", \"bbox\": [206, 225, 426, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 235, 200, 245]}, {\"cell\": \"To reduce the incidence of and complications from all sexually transmitted diseases (STDs) including HIV/AIDS.\", \"bbox\": [206, 235, 487, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 254, 96, 264]}, {\"cell\": \"To reduce the incidence of tuberculosis (TB).\", \"bbox\": [206, 254, 360, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 265, 105, 274]}, {\"cell\": \"To reduce the incidence of vaccine preventable diseases.\", \"bbox\": [206, 265, 397, 274]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2684743_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}696{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"5\\\"><b>PFS</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Parameter</b></td><td><b>SE</b></td><td><b>HR</b></td><td><b>95%CI</b></td><td><b>WAld’s p</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\"><b>Subgroup A(1st line, chemo-naïve)</b></td></tr><tr><td>Age</td><td>−0.028</td><td>0.011</td><td>[EMPTY_CELL]</td><td>0.952-0.994</td><td>0.012</td></tr><tr><td>TYMS</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> aberrant vs. normal</td><td>0.577</td><td>0.253</td><td>[EMPTY_CELL]</td><td>1.084-2.923</td><td>0.563</td></tr><tr><td>Treatment</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> platinum vs. taxanes</td><td>0.235</td><td>0.407</td><td>[EMPTY_CELL]</td><td>0.570-2.811</td><td>0.563</td></tr><tr><td> tax/plat vs. taxanes</td><td>−0.220</td><td>0.303</td><td>[EMPTY_CELL]</td><td>0.443-1.452</td><td>0.467</td></tr><tr><td> other vs. taxanes</td><td>0.088</td><td>0.376</td><td>[EMPTY_CELL]</td><td>0.522-2.282</td><td>0.816</td></tr><tr><td>aberrant TYMS *platinum</td><td>−1,687</td><td>0.564</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.003</td></tr><tr><td>aberrant TYMS *tax/plat</td><td>−1.200</td><td>0.433</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.006</td></tr><tr><td colspan=\\\"6\\\"><b>Subgroup B(1st line, chemo-naïve)</b></td></tr><tr><td>Age</td><td>−0.002</td><td>0.010</td><td>[EMPTY_CELL]</td><td>0.959-0.998</td><td>0.034</td></tr><tr><td>TYMS</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> aberrant vs. normal</td><td>0.539</td><td>0.255</td><td>[EMPTY_CELL]</td><td>1.040-2.824</td><td>0.034</td></tr><tr><td>Treatment</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> platinum vs. taxanes</td><td>0.293</td><td>0.382</td><td>[EMPTY_CELL]</td><td>0.0633-2.836</td><td>0.444</td></tr><tr><td> tax/plat vs. taxanes</td><td>−0.129</td><td>0.285</td><td>[EMPTY_CELL]</td><td>0.502-1.537</td><td>0.650</td></tr><tr><td> other vs. taxanes</td><td>−6.631</td><td>0.439</td><td>[EMPTY_CELL]</td><td>0.225-1.258</td><td>0.151</td></tr><tr><td>aberrant TYMS*platinum</td><td>−1.719</td><td>0.551</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.002</td></tr><tr><td>aberrant TYMS*tax/plat</td><td>−1.233</td><td>0.420</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.003</td></tr><tr><td>aberrant TYMS *othertreatment</td><td>−1.375</td><td>0.642</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.032</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>PFS</b>\", \"bbox\": [153, 4, 167, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Parameter</b>\", \"bbox\": [84, 17, 122, 26]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [127, 17, 137, 26]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [145, 17, 157, 26]}, {\"cell\": \"<b>95%CI</b>\", \"bbox\": [170, 17, 194, 26]}, {\"cell\": \"<b>WAld’s p</b>\", \"bbox\": [204, 17, 236, 26]}, {\"cell\": \"<b>Subgroup A(1st line, chemo-naïve)</b>\", \"bbox\": [1, 30, 123, 40]}, {\"cell\": \"Age\", \"bbox\": [1, 44, 15, 54]}, {\"cell\": \"−0.028\", \"bbox\": [91, 44, 114, 54]}, {\"cell\": \"0.011\", \"bbox\": [122, 44, 141, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 44, 160, 54]}, {\"cell\": \"0.952-0.994\", \"bbox\": [163, 44, 201, 54]}, {\"cell\": \"0.012\", \"bbox\": [211, 44, 229, 54]}, {\"cell\": \"TYMS\", \"bbox\": [1, 58, 20, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" aberrant vs. normal\", \"bbox\": [4, 72, 68, 82]}, {\"cell\": \"0.577\", \"bbox\": [93, 72, 112, 82]}, {\"cell\": \"0.253\", \"bbox\": [122, 72, 141, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 72, 160, 82]}, {\"cell\": \"1.084-2.923\", \"bbox\": [163, 72, 201, 82]}, {\"cell\": \"0.563\", \"bbox\": [211, 72, 229, 82]}, {\"cell\": \"Treatment\", \"bbox\": [1, 86, 35, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" platinum vs. taxanes\", \"bbox\": [4, 100, 72, 110]}, {\"cell\": \"0.235\", \"bbox\": [93, 100, 112, 110]}, {\"cell\": \"0.407\", \"bbox\": [122, 100, 141, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 100, 160, 110]}, {\"cell\": \"0.570-2.811\", \"bbox\": [163, 100, 201, 110]}, {\"cell\": \"0.563\", \"bbox\": [211, 100, 229, 110]}, {\"cell\": \" tax/plat vs. taxanes\", \"bbox\": [4, 114, 67, 124]}, {\"cell\": \"−0.220\", \"bbox\": [91, 114, 114, 124]}, {\"cell\": \"0.303\", \"bbox\": [122, 114, 141, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 114, 160, 124]}, {\"cell\": \"0.443-1.452\", \"bbox\": [163, 114, 201, 124]}, {\"cell\": \"0.467\", \"bbox\": [211, 114, 229, 124]}, {\"cell\": \" other vs. taxanes\", \"bbox\": [4, 128, 60, 138]}, {\"cell\": \"0.088\", \"bbox\": [93, 128, 112, 138]}, {\"cell\": \"0.376\", \"bbox\": [122, 128, 141, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 128, 160, 138]}, {\"cell\": \"0.522-2.282\", \"bbox\": [163, 128, 201, 138]}, {\"cell\": \"0.816\", \"bbox\": [211, 128, 229, 138]}, {\"cell\": \"aberrant TYMS *platinum\", \"bbox\": [1, 142, 83, 152]}, {\"cell\": \"−1,687\", \"bbox\": [91, 142, 114, 152]}, {\"cell\": \"0.564\", \"bbox\": [122, 142, 141, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.003\", \"bbox\": [211, 142, 229, 152]}, {\"cell\": \"aberrant TYMS *tax/plat\", \"bbox\": [1, 156, 79, 166]}, {\"cell\": \"−1.200\", \"bbox\": [91, 156, 114, 166]}, {\"cell\": \"0.433\", \"bbox\": [122, 156, 141, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.006\", \"bbox\": [211, 156, 229, 166]}, {\"cell\": \"<b>Subgroup B(1st line, chemo-naïve)</b>\", \"bbox\": [1, 170, 122, 180]}, {\"cell\": \"Age\", \"bbox\": [1, 184, 15, 194]}, {\"cell\": \"−0.002\", \"bbox\": [91, 184, 114, 194]}, {\"cell\": \"0.010\", \"bbox\": [122, 184, 141, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 184, 160, 194]}, {\"cell\": \"0.959-0.998\", \"bbox\": [163, 184, 201, 194]}, {\"cell\": \"0.034\", \"bbox\": [211, 184, 229, 194]}, {\"cell\": \"TYMS\", \"bbox\": [1, 198, 20, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" aberrant vs. normal\", \"bbox\": [4, 212, 68, 222]}, {\"cell\": \"0.539\", \"bbox\": [93, 212, 112, 222]}, {\"cell\": \"0.255\", \"bbox\": [122, 212, 141, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 212, 160, 222]}, {\"cell\": \"1.040-2.824\", \"bbox\": [163, 212, 201, 222]}, {\"cell\": \"0.034\", \"bbox\": [211, 212, 229, 222]}, {\"cell\": \"Treatment\", \"bbox\": [1, 226, 35, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" platinum vs. taxanes\", \"bbox\": [4, 240, 72, 250]}, {\"cell\": \"0.293\", \"bbox\": [93, 240, 112, 250]}, {\"cell\": \"0.382\", \"bbox\": [122, 240, 141, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 240, 160, 250]}, {\"cell\": \"0.0633-2.836\", \"bbox\": [161, 240, 203, 250]}, {\"cell\": \"0.444\", \"bbox\": [211, 240, 229, 250]}, {\"cell\": \" tax/plat vs. taxanes\", \"bbox\": [4, 254, 67, 264]}, {\"cell\": \"−0.129\", \"bbox\": [91, 254, 114, 264]}, {\"cell\": \"0.285\", \"bbox\": [122, 254, 141, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 254, 160, 264]}, {\"cell\": \"0.502-1.537\", \"bbox\": [163, 254, 201, 264]}, {\"cell\": \"0.650\", \"bbox\": [211, 254, 229, 264]}, {\"cell\": \" other vs. taxanes\", \"bbox\": [4, 268, 60, 278]}, {\"cell\": \"−6.631\", \"bbox\": [91, 268, 114, 278]}, {\"cell\": \"0.439\", \"bbox\": [122, 268, 141, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 268, 160, 278]}, {\"cell\": \"0.225-1.258\", \"bbox\": [163, 268, 201, 278]}, {\"cell\": \"0.151\", \"bbox\": [211, 268, 229, 278]}, {\"cell\": \"aberrant TYMS*platinum\", \"bbox\": [1, 282, 81, 292]}, {\"cell\": \"−1.719\", \"bbox\": [91, 282, 114, 292]}, {\"cell\": \"0.551\", \"bbox\": [122, 282, 141, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.002\", \"bbox\": [211, 282, 229, 292]}, {\"cell\": \"aberrant TYMS*tax/plat\", \"bbox\": [1, 296, 76, 306]}, {\"cell\": \"−1.233\", \"bbox\": [91, 296, 114, 306]}, {\"cell\": \"0.420\", \"bbox\": [122, 296, 141, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.003\", \"bbox\": [211, 296, 229, 306]}, {\"cell\": \"aberrant TYMS *othertreatment\", \"bbox\": [1, 310, 71, 329]}, {\"cell\": \"−1.375\", \"bbox\": [91, 310, 114, 320]}, {\"cell\": \"0.642\", \"bbox\": [122, 310, 141, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.032\", \"bbox\": [211, 310, 229, 320]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3503623_012_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}697{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td>[EMPTY_CELL]</td><td><b>% initiating others</b></td><td><b>Unadjusted OR (95%CI)</b></td><td><b>Adjusted OR (95%CI)</b></td></tr></thead><tbody><tr><td><b>Sex</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Male</td><td>73.2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Female</td><td>35.0</td><td>0.20 (0.07–0.52)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Employed</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>75.6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>45.7</td><td>0.27 (0.13–0.58)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>IDU friends at time of initiation</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>40.6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>76.1</td><td>4.65 (2.10–10.30)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Using alcohol around time of initiation</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>47.5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>74.8</td><td>3.29 (1.61–6.73)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Taught to inject at initiation</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>58.1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>74.5</td><td>2.10 (1.12–3.97)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Paid for drug at initiation</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>79.4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>58.9</td><td>0.37 (0.20–0.70)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [4, 5, 39, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>% initiating others</b>\", \"bbox\": [214, 5, 285, 14]}, {\"cell\": \"<b>Unadjusted OR (95%CI)</b>\", \"bbox\": [300, 5, 394, 14]}, {\"cell\": \"<b>Adjusted OR (95%CI)</b>\", \"bbox\": [409, 5, 493, 14]}, {\"cell\": \"<b>Sex</b>\", \"bbox\": [4, 27, 21, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [186, 37, 204, 47]}, {\"cell\": \"73.2\", \"bbox\": [241, 37, 258, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 37, 457, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [179, 47, 204, 57]}, {\"cell\": \"35.0\", \"bbox\": [241, 47, 258, 57]}, {\"cell\": \"0.20 (0.07–0.52)\", \"bbox\": [319, 47, 375, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 47, 479, 57]}, {\"cell\": \"<b>Employed</b>\", \"bbox\": [4, 58, 45, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [191, 68, 204, 77]}, {\"cell\": \"75.6\", \"bbox\": [241, 68, 258, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 68, 457, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [190, 78, 204, 88]}, {\"cell\": \"45.7\", \"bbox\": [241, 78, 258, 88]}, {\"cell\": \"0.27 (0.13–0.58)\", \"bbox\": [319, 78, 375, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 78, 479, 88]}, {\"cell\": \"<b>IDU friends at time of initiation</b>\", \"bbox\": [4, 88, 128, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [191, 99, 204, 108]}, {\"cell\": \"40.6\", \"bbox\": [241, 99, 258, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 99, 457, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [190, 109, 204, 118]}, {\"cell\": \"76.1\", \"bbox\": [241, 109, 258, 118]}, {\"cell\": \"4.65 (2.10–10.30)\", \"bbox\": [316, 109, 377, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 109, 481, 118]}, {\"cell\": \"<b>Using alcohol around time of initiation</b>\", \"bbox\": [4, 119, 154, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [191, 129, 204, 139]}, {\"cell\": \"47.5\", \"bbox\": [241, 129, 258, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 129, 457, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [190, 140, 204, 149]}, {\"cell\": \"74.8\", \"bbox\": [241, 140, 258, 149]}, {\"cell\": \"3.29 (1.61–6.73)\", \"bbox\": [319, 140, 375, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 140, 479, 149]}, {\"cell\": \"<b>Taught to inject at initiation</b>\", \"bbox\": [4, 150, 115, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [191, 160, 204, 170]}, {\"cell\": \"58.1\", \"bbox\": [241, 160, 258, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 160, 457, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [190, 170, 204, 180]}, {\"cell\": \"74.5\", \"bbox\": [241, 170, 258, 180]}, {\"cell\": \"2.10 (1.12–3.97)\", \"bbox\": [319, 170, 375, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 170, 479, 180]}, {\"cell\": \"<b>Paid for drug at initiation</b>\", \"bbox\": [4, 181, 103, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [191, 191, 204, 200]}, {\"cell\": \"79.4\", \"bbox\": [241, 191, 258, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [445, 191, 457, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [190, 201, 204, 211]}, {\"cell\": \"58.9\", \"bbox\": [241, 201, 258, 211]}, {\"cell\": \"0.37 (0.20–0.70)\", \"bbox\": [319, 201, 375, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [423, 201, 479, 211]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2254384_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}698{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Effect</b></td><td><b>Pearson Chi-Square</b></td><td><b><i>P</i> Value</b></td><td><b>OR* (CI 95%)</b></td></tr></thead><tbody><tr><td><b>Maternal Age Group ≤ 30 years†</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Wasting (Non-EBF vs. EBF)</td><td>1.580</td><td>[EMPTY_CELL]</td><td>2.875 (0.526- 15.729)</td></tr><tr><td>Stunting and Wasting (Non-EBF vs. EBF)</td><td>0.728</td><td>[EMPTY_CELL]</td><td>2.667 (0.260- 27.381)</td></tr><tr><td>Stunting (Non-EBF vs. EBF)</td><td>0.910</td><td>[EMPTY_CELL]</td><td>1.909 (0.499- 7.298)</td></tr><tr><td><b>Maternal Age Group >30 years†</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Wasting (Non-EBF vs. EBF)</td><td>3.945</td><td>[EMPTY_CELL]</td><td>3.424 (0.979- 11.969)</td></tr><tr><td>Stunting and Wasting (Non-EBF vs. EBF)</td><td>1.337</td><td>[EMPTY_CELL]</td><td>2.597 (0.493- 13.677)</td></tr><tr><td>Stunting (Non-EBF vs. EBF)</td><td>0.450</td><td>[EMPTY_CELL]</td><td>1.414 (0.513- 3.900)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Effect</b>\", \"bbox\": [1, 3, 26, 13]}, {\"cell\": \"<b>Pearson Chi-Square</b>\", \"bbox\": [230, 3, 276, 22]}, {\"cell\": \"<b><i>P</i> Value</b>\", \"bbox\": [292, 3, 325, 13]}, {\"cell\": \"<b>OR* (CI 95%)</b>\", \"bbox\": [360, 3, 401, 22]}, {\"cell\": \"<b>Maternal Age Group ≤ 30 years†</b>\", \"bbox\": [1, 34, 133, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Wasting (Non-EBF vs. EBF)\", \"bbox\": [1, 46, 98, 56]}, {\"cell\": \"1.580\", \"bbox\": [230, 46, 252, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 46, 315, 56]}, {\"cell\": \"2.875 (0.526- 15.729)\", \"bbox\": [360, 46, 440, 56]}, {\"cell\": \"Stunting and Wasting (Non-EBF vs. EBF)\", \"bbox\": [1, 57, 146, 66]}, {\"cell\": \"0.728\", \"bbox\": [230, 57, 252, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 57, 315, 66]}, {\"cell\": \"2.667 (0.260- 27.381)\", \"bbox\": [360, 57, 440, 66]}, {\"cell\": \"Stunting (Non-EBF vs. EBF)\", \"bbox\": [1, 67, 99, 77]}, {\"cell\": \"0.910\", \"bbox\": [230, 67, 252, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 67, 315, 77]}, {\"cell\": \"1.909 (0.499- 7.298)\", \"bbox\": [360, 67, 436, 77]}, {\"cell\": \"<b>Maternal Age Group >30 years†</b>\", \"bbox\": [1, 75, 131, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Wasting (Non-EBF vs. EBF)\", \"bbox\": [1, 87, 98, 97]}, {\"cell\": \"3.945\", \"bbox\": [230, 87, 252, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 87, 315, 97]}, {\"cell\": \"3.424 (0.979- 11.969)\", \"bbox\": [360, 87, 440, 97]}, {\"cell\": \"Stunting and Wasting (Non-EBF vs. EBF)\", \"bbox\": [1, 98, 151, 108]}, {\"cell\": \"1.337\", \"bbox\": [230, 98, 252, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 98, 315, 108]}, {\"cell\": \"2.597 (0.493- 13.677)\", \"bbox\": [360, 98, 440, 108]}, {\"cell\": \"Stunting (Non-EBF vs. EBF)\", \"bbox\": [1, 108, 99, 118]}, {\"cell\": \"0.450\", \"bbox\": [230, 108, 252, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 108, 315, 118]}, {\"cell\": \"1.414 (0.513- 3.900)\", \"bbox\": [360, 108, 436, 118]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4024436_007_03.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}699{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b><i>Pathway</i></b></td><td><b><i>Set size</i></b></td><td><b><i>Subset size</i></b></td><td><b><i>Identified genes</i></b></td></tr></thead><tbody><tr><td>Cytokine Network</td><td>17</td><td>[EMPTY_CELL]</td><td><underline>IL13</underline>, IL4, IL9, IL5, IL2</td></tr><tr><td>Jak-STAT signaling pathway</td><td>126</td><td>[EMPTY_CELL]</td><td><underline>IL13</underline>, <underline>IL23R</underline>, <underline>IFNE1</underline>, <underline>STAT2</underline>, <underline>IL12B</underline>, IL4, IL9, IL29, IL5, IL6, IL5RA, IL2, PIK3R5, PIK3R2, EP300, PIK3CG, CSF2RB, TSLP, CNTFR, IFNA21, OSMR, IFNGR1, PIAS4, PIK3CB, SOCS4</td></tr><tr><td>Dendritic cells in regulating TH1 and TH2 Development</td><td>19</td><td>[EMPTY_CELL]</td><td><underline>IL13</underline>, IL4, IL5, ANPEP</td></tr><tr><td>Cytokine-cytokine receptor interaction</td><td>208</td><td>[EMPTY_CELL]</td><td><underline>IL13</underline>, <underline>IL23A</underline>, <underline>IL23R</underline>, <underline>IL1R2</underline>, <underline>IL12B</underline>, <underline>IFNE1</underline>, IL4, IFNA21, PF4V1, IL9, IL29, INHBA, IL5, FAS, OSMR, CCL22, FLT3, TNFRSF21, CSF1, CXCL11, CNTFR, IL1B, IL18RAP, TGFB2, CCL23, IL8RB, IL5RA, IL6, IL11RA, IL2, TNFRSF19, EGF, CCL3, IFNAR2, CCR6, CSF1R, TNFRSF8, PDGFRA, CSF2RB, TNFSF8, CCL1, TSLP, TNFRSF1A, KDR, IL17RB, IFNGR1, TNFRSF11B, IL22RA2, PDGFRB</td></tr><tr><td>Role of BRCA1, BRCA2 and ATR in Cancer Susceptibility</td><td>21</td><td>[EMPTY_CELL]</td><td><underline>RAD50</underline>, BRCA2, RAD9A</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Pathway</i></b>\", \"bbox\": [1, 4, 32, 14]}, {\"cell\": \"<b><i>Set size</i></b>\", \"bbox\": [125, 4, 139, 22]}, {\"cell\": \"<b><i>Subset size</i></b>\", \"bbox\": [146, 4, 170, 22]}, {\"cell\": \"<b><i>Identified genes</i></b>\", \"bbox\": [176, 4, 231, 14]}, {\"cell\": \"Cytokine Network\", \"bbox\": [1, 26, 60, 36]}, {\"cell\": \"17\", \"bbox\": [127, 26, 137, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 26, 165, 36]}, {\"cell\": \"<underline>IL13</underline>, IL4, IL9, IL5, IL2\", \"bbox\": [176, 26, 242, 36]}, {\"cell\": \"Jak-STAT signaling pathway\", \"bbox\": [1, 38, 91, 48]}, {\"cell\": \"126\", \"bbox\": [125, 38, 139, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 38, 166, 48]}, {\"cell\": \"<underline>IL13</underline>, <underline>IL23R</underline>, <underline>IFNE1</underline>, <underline>STAT2</underline>, <underline>IL12B</underline>, IL4, IL9, IL29, IL5, IL6, IL5RA, IL2, PIK3R5, PIK3R2, EP300, PIK3CG, CSF2RB, TSLP, CNTFR, IFNA21, OSMR, IFNGR1, PIAS4, PIK3CB, SOCS4\", \"bbox\": [176, 38, 482, 57]}, {\"cell\": \"Dendritic cells in regulating TH1 and TH2 Development\", \"bbox\": [1, 59, 106, 78]}, {\"cell\": \"19\", \"bbox\": [127, 59, 137, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 59, 165, 68]}, {\"cell\": \"<underline>IL13</underline>, IL4, IL5, ANPEP\", \"bbox\": [176, 59, 242, 68]}, {\"cell\": \"Cytokine-cytokine receptor interaction\", \"bbox\": [1, 80, 88, 98]}, {\"cell\": \"208\", \"bbox\": [125, 80, 139, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 80, 166, 89]}, {\"cell\": \"<underline>IL13</underline>, <underline>IL23A</underline>, <underline>IL23R</underline>, <underline>IL1R2</underline>, <underline>IL12B</underline>, <underline>IFNE1</underline>, IL4, IFNA21, PF4V1, IL9, IL29, INHBA, IL5, FAS, OSMR, CCL22, FLT3, TNFRSF21, CSF1, CXCL11, CNTFR, IL1B, IL18RAP, TGFB2, CCL23, IL8RB, IL5RA, IL6, IL11RA, IL2, TNFRSF19, EGF, CCL3, IFNAR2, CCR6, CSF1R, TNFRSF8, PDGFRA, CSF2RB, TNFSF8, CCL1, TSLP, TNFRSF1A, KDR, IL17RB, IFNGR1, TNFRSF11B, IL22RA2, PDGFRB\", \"bbox\": [176, 80, 476, 116]}, {\"cell\": \"Role of BRCA1, BRCA2 and ATR in Cancer Susceptibility\", \"bbox\": [1, 119, 112, 137]}, {\"cell\": \"21\", \"bbox\": [127, 119, 137, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 119, 165, 128]}, {\"cell\": \"<underline>RAD50</underline>, BRCA2, RAD9A\", \"bbox\": [176, 119, 250, 128]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3033801_010_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}700{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Patient A</b></td><td><b>Patient B</b></td><td><b>Pig unwashed</b></td><td><b>Pig washed 1</b></td><td><b>Pig washed 2</b></td><td><b>Pig washed 3</b></td><td><b>Pig washed pooled</b></td></tr></thead><tbody><tr><td colspan=\\\"8\\\">Host filtering using Bowtie 2 alignment</td></tr><tr><td> Host-aligned read percentage</td><td>55.68 %</td><td>22.51 %</td><td>14.20 %</td><td>10.99 %</td><td>43.98 %</td><td>[EMPTY_CELL]</td><td>N/A</td></tr><tr><td colspan=\\\"8\\\">Scaffolds</td></tr><tr><td> Scaffold N50</td><td>29,787</td><td>45,917</td><td>6352</td><td>6835</td><td>22,475</td><td>[EMPTY_CELL]</td><td>4883</td></tr><tr><td> Largest scaffold</td><td>509386</td><td>794311</td><td>88,812</td><td>681,477</td><td>423,133</td><td>[EMPTY_CELL]</td><td>299,570</td></tr><tr><td> Total assembled bases</td><td>68,937,519</td><td>61,661,613</td><td>69,459,333</td><td>68,875,212</td><td>61,832,214</td><td>[EMPTY_CELL]</td><td>75,837,484</td></tr><tr><td> No of scaffolds</td><td>99,178</td><td>66,591</td><td>47,952</td><td>149,238</td><td>83,245</td><td>[EMPTY_CELL]</td><td>212,580</td></tr><tr><td colspan=\\\"8\\\">Scaffolds (≥500 bp)</td></tr><tr><td> Major scaffold N50</td><td>43,122</td><td>62,417</td><td>7574</td><td>17,034</td><td>30,929</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td> Largest scaffold</td><td>509,386</td><td>794,311</td><td>88,812</td><td>681,477</td><td>423,133</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td> Total assembled bases</td><td>56,795,385</td><td>53,697,990</td><td>62,853,857</td><td>47,516,449</td><td>52,301,800</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td> No of scaffolds</td><td>4276</td><td>3157</td><td>17236</td><td>7586</td><td>5102</td><td>[EMPTY_CELL]</td><td>-</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Patient A</b>\", \"bbox\": [111, 4, 142, 13]}, {\"cell\": \"<b>Patient B</b>\", \"bbox\": [156, 4, 186, 13]}, {\"cell\": \"<b>Pig unwashed</b>\", \"bbox\": [200, 4, 248, 13]}, {\"cell\": \"<b>Pig washed 1</b>\", \"bbox\": [257, 4, 302, 13]}, {\"cell\": \"<b>Pig washed 2</b>\", \"bbox\": [311, 4, 357, 13]}, {\"cell\": \"<b>Pig washed 3</b>\", \"bbox\": [366, 4, 411, 13]}, {\"cell\": \"<b>Pig washed pooled</b>\", \"bbox\": [420, 4, 484, 13]}, {\"cell\": \"Host filtering using Bowtie 2 alignment\", \"bbox\": [0, 17, 129, 27]}, {\"cell\": \" Host-aligned read percentage\", \"bbox\": [4, 31, 102, 41]}, {\"cell\": \"55.68 %\", \"bbox\": [111, 31, 138, 41]}, {\"cell\": \"22.51 %\", \"bbox\": [156, 31, 183, 41]}, {\"cell\": \"14.20 %\", \"bbox\": [200, 31, 227, 41]}, {\"cell\": \"10.99 %\", \"bbox\": [257, 31, 284, 41]}, {\"cell\": \"43.98 %\", \"bbox\": [311, 31, 338, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 31, 393, 41]}, {\"cell\": \"N/A\", \"bbox\": [420, 31, 435, 41]}, {\"cell\": \"Scaffolds\", \"bbox\": [0, 45, 31, 55]}, {\"cell\": \" Scaffold N50\", \"bbox\": [4, 59, 47, 69]}, {\"cell\": \"29,787\", \"bbox\": [111, 59, 134, 69]}, {\"cell\": \"45,917\", \"bbox\": [156, 59, 178, 69]}, {\"cell\": \"6352\", \"bbox\": [200, 59, 218, 69]}, {\"cell\": \"6835\", \"bbox\": [257, 59, 274, 69]}, {\"cell\": \"22,475\", \"bbox\": [311, 59, 334, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 59, 388, 69]}, {\"cell\": \"4883\", \"bbox\": [420, 59, 438, 69]}, {\"cell\": \" Largest scaffold\", \"bbox\": [4, 73, 56, 83]}, {\"cell\": \"509386\", \"bbox\": [111, 73, 136, 83]}, {\"cell\": \"794311\", \"bbox\": [156, 73, 181, 83]}, {\"cell\": \"88,812\", \"bbox\": [200, 73, 223, 83]}, {\"cell\": \"681,477\", \"bbox\": [257, 73, 283, 83]}, {\"cell\": \"423,133\", \"bbox\": [311, 73, 338, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 73, 392, 83]}, {\"cell\": \"299,570\", \"bbox\": [420, 73, 447, 83]}, {\"cell\": \" Total assembled bases\", \"bbox\": [4, 87, 78, 97]}, {\"cell\": \"68,937,519\", \"bbox\": [111, 87, 147, 97]}, {\"cell\": \"61,661,613\", \"bbox\": [156, 87, 191, 97]}, {\"cell\": \"69,459,333\", \"bbox\": [200, 87, 236, 97]}, {\"cell\": \"68,875,212\", \"bbox\": [257, 87, 292, 97]}, {\"cell\": \"61,832,214\", \"bbox\": [311, 87, 347, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 87, 401, 97]}, {\"cell\": \"75,837,484\", \"bbox\": [420, 87, 456, 97]}, {\"cell\": \" No of scaffolds\", \"bbox\": [4, 101, 54, 111]}, {\"cell\": \"99,178\", \"bbox\": [111, 101, 134, 111]}, {\"cell\": \"66,591\", \"bbox\": [156, 101, 178, 111]}, {\"cell\": \"47,952\", \"bbox\": [200, 101, 223, 111]}, {\"cell\": \"149,238\", \"bbox\": [257, 101, 283, 111]}, {\"cell\": \"83,245\", \"bbox\": [311, 101, 334, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 101, 388, 111]}, {\"cell\": \"212,580\", \"bbox\": [420, 101, 447, 111]}, {\"cell\": \"Scaffolds (≥500 bp)\", \"bbox\": [0, 115, 64, 125]}, {\"cell\": \" Major scaffold N50\", \"bbox\": [4, 129, 66, 139]}, {\"cell\": \"43,122\", \"bbox\": [111, 129, 134, 139]}, {\"cell\": \"62,417\", \"bbox\": [156, 129, 178, 139]}, {\"cell\": \"7574\", \"bbox\": [200, 129, 218, 139]}, {\"cell\": \"17,034\", \"bbox\": [257, 129, 279, 139]}, {\"cell\": \"30,929\", \"bbox\": [311, 129, 334, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 129, 388, 139]}, {\"cell\": \"-\", \"bbox\": [420, 129, 425, 139]}, {\"cell\": \" Largest scaffold\", \"bbox\": [4, 143, 56, 153]}, {\"cell\": \"509,386\", \"bbox\": [111, 143, 138, 153]}, {\"cell\": \"794,311\", \"bbox\": [156, 143, 182, 153]}, {\"cell\": \"88,812\", \"bbox\": [200, 143, 223, 153]}, {\"cell\": \"681,477\", \"bbox\": [257, 143, 283, 153]}, {\"cell\": \"423,133\", \"bbox\": [311, 143, 338, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 143, 392, 153]}, {\"cell\": \"-\", \"bbox\": [420, 143, 425, 153]}, {\"cell\": \" Total assembled bases\", \"bbox\": [4, 157, 78, 167]}, {\"cell\": \"56,795,385\", \"bbox\": [111, 157, 147, 167]}, {\"cell\": \"53,697,990\", \"bbox\": [156, 157, 191, 167]}, {\"cell\": \"62,853,857\", \"bbox\": [200, 157, 236, 167]}, {\"cell\": \"47,516,449\", \"bbox\": [257, 157, 292, 167]}, {\"cell\": \"52,301,800\", \"bbox\": [311, 157, 347, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 157, 401, 167]}, {\"cell\": \"-\", \"bbox\": [420, 157, 425, 167]}, {\"cell\": \" No of scaffolds\", \"bbox\": [4, 171, 54, 181]}, {\"cell\": \"4276\", \"bbox\": [111, 171, 129, 181]}, {\"cell\": \"3157\", \"bbox\": [156, 171, 173, 181]}, {\"cell\": \"17236\", \"bbox\": [200, 171, 221, 181]}, {\"cell\": \"7586\", \"bbox\": [257, 171, 274, 181]}, {\"cell\": \"5102\", \"bbox\": [311, 171, 329, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 171, 383, 181]}, {\"cell\": \"-\", \"bbox\": [420, 171, 425, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4890329_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}701{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Immunosensor Type</b></td><td><b>Common Materials</b></td><td><b>References</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Evanescent wave</td><td>Quartz, glass, graphene oxide (GO) sheets, hydrogels</td><td rowspan=\\\"2\\\">[24,29,30,31]</td></tr><tr><td>[EMPTY_CELL]</td><td>Silver, gold, copper, aluminum</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Conductive</td><td>Carbon, indium tin oxide, carbon nanotube, hydrogels, polythiophene</td><td rowspan=\\\"2\\\">[32,33,34,35]</td></tr><tr><td>[EMPTY_CELL]</td><td>Graphite, Lipid, Platinum, Gold, Nickel</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Bulk acoustic wave</td><td rowspan=\\\"2\\\">Aluminium phosphate, aluminium nitride, zinc oxide, crystalized topaz, crystalized tourmaline, barium titanate, gallium orthophosphate, lead titanate</td><td rowspan=\\\"2\\\">[27,28,36]</td></tr><tr><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Immunosensor Type</b>\", \"bbox\": [47, 4, 123, 14]}, {\"cell\": \"<b>Common Materials</b>\", \"bbox\": [236, 4, 307, 14]}, {\"cell\": \"<b>References</b>\", \"bbox\": [385, 4, 426, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 29, 54, 39]}, {\"cell\": \"Evanescent wave\", \"bbox\": [93, 18, 155, 28]}, {\"cell\": \"Quartz, glass, graphene oxide (GO) sheets, hydrogels\", \"bbox\": [178, 18, 365, 28]}, {\"cell\": \"[24,29,30,31]\", \"bbox\": [387, 30, 424, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 32, 154, 52]}, {\"cell\": \"Silver, gold, copper, aluminum\", \"bbox\": [217, 37, 326, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 69, 69, 79]}, {\"cell\": \"Conductive\", \"bbox\": [102, 60, 145, 70]}, {\"cell\": \"Carbon, indium tin oxide, carbon nanotube, hydrogels, polythiophene\", \"bbox\": [175, 56, 369, 75]}, {\"cell\": \"[32,33,34,35]\", \"bbox\": [392, 68, 419, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [97, 79, 150, 89]}, {\"cell\": \"Graphite, Lipid, Platinum, Gold, Nickel\", \"bbox\": [202, 79, 342, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 103, 64, 113]}, {\"cell\": \"Bulk acoustic wave\", \"bbox\": [89, 96, 158, 106]}, {\"cell\": \"Aluminium phosphate, aluminium nitride, zinc oxide, crystalized topaz, crystalized tourmaline, barium titanate, gallium orthophosphate, lead titanate\", \"bbox\": [172, 93, 372, 123]}, {\"cell\": \"[27,28,36]\", \"bbox\": [388, 102, 423, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [84, 110, 161, 120]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5977292_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}702{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Tools</b></td><td rowspan=\\\"2\\\"><b>MMAS-8</b></td><td rowspan=\\\"2\\\"><b>BMQ</b></td><td rowspan=\\\"2\\\"><b>ABQ</b></td><td rowspan=\\\"2\\\"><b>DRAW</b></td><td rowspan=\\\"2\\\"><b>M-DRAW</b></td></tr><tr><td><b>Domain (Description)</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Patient-related</td><td>Lack of belief in benefit of treatmentLack of insight into the illnessBelief in medication and complementary and alternative medicineTrust in health care professionals</td><td>√</td><td>√</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>√</td></tr><tr><td>Therapy-related</td><td>StigmaTreatment interfering with lifestyleComplexity of treatmentNumber of medications</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>√</td><td>[EMPTY_CELL]</td><td>√</td></tr><tr><td>Condition-related</td><td>ChronicAsymptomaticMental health conditionsNumber of comorbid conditionsDuration of diseasePresence of depressive symptom</td><td>√</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>√</td></tr><tr><td>Socioeconomic</td><td>GenderEducationFunctional health literacy levelSocial supportCompeting priorityHealth insuranceAccess to medicationCost of medication</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>√</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Tools</b>\", \"bbox\": [205, 4, 224, 13]}, {\"cell\": \"<b>MMAS-8</b>\", \"bbox\": [235, 9, 267, 18]}, {\"cell\": \"<b>BMQ</b>\", \"bbox\": [283, 8, 303, 17]}, {\"cell\": \"<b>ABQ</b>\", \"bbox\": [322, 8, 341, 17]}, {\"cell\": \"<b>DRAW</b>\", \"bbox\": [358, 9, 383, 18]}, {\"cell\": \"<b>M-DRAW</b>\", \"bbox\": [394, 9, 429, 18]}, {\"cell\": \"<b>Domain (Description)</b>\", \"bbox\": [5, 13, 79, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Patient-related\", \"bbox\": [14, 43, 63, 52]}, {\"cell\": \"Lack of belief in benefit of treatmentLack of insight into the illnessBelief in medication and complementary and alternative medicineTrust in health care professionals\", \"bbox\": [84, 25, 215, 70]}, {\"cell\": \"√\", \"bbox\": [247, 43, 255, 52]}, {\"cell\": \"√\", \"bbox\": [288, 43, 297, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 43, 375, 52]}, {\"cell\": \"√\", \"bbox\": [405, 43, 414, 52]}, {\"cell\": \"Therapy-related\", \"bbox\": [12, 86, 65, 95]}, {\"cell\": \"StigmaTreatment interfering with lifestyleComplexity of treatmentNumber of medications\", \"bbox\": [93, 73, 206, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"√\", \"bbox\": [327, 86, 336, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 86, 375, 95]}, {\"cell\": \"√\", \"bbox\": [406, 86, 414, 95]}, {\"cell\": \"Condition-related\", \"bbox\": [9, 130, 68, 139]}, {\"cell\": \"ChronicAsymptomaticMental health conditionsNumber of comorbid conditionsDuration of diseasePresence of depressive symptom\", \"bbox\": [85, 112, 213, 156]}, {\"cell\": \"√\", \"bbox\": [247, 129, 255, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"√\", \"bbox\": [406, 129, 414, 139]}, {\"cell\": \"Socioeconomic\", \"bbox\": [14, 190, 63, 200]}, {\"cell\": \"GenderEducationFunctional health literacy levelSocial supportCompeting priorityHealth insuranceAccess to medicationCost of medication\", \"bbox\": [99, 160, 199, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 190, 375, 200]}, {\"cell\": \"√\", \"bbox\": [405, 190, 414, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5622364_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}703{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td><b>Non-GERD Subjects<i>N</i> = 16</b></td><td><b>GERD Subjects<i>N</i> = 6</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>Mean Age in Years (SD)</td><td>[EMPTY_CELL]</td><td>12.5 (4.1)</td><td>NS</td></tr><tr><td>Abdominal Pain Composite Score (Frequency/Week X Severity)</td><td>[EMPTY_CELL]</td><td>28.8 (21.4)</td><td>.029</td></tr><tr><td>Fried Food Consumption/Week</td><td>[EMPTY_CELL]</td><td>4.2 (8.3)</td><td>NS</td></tr><tr><td>Spicy Food Consumption/Week</td><td>[EMPTY_CELL]</td><td>4.8 (9.7)</td><td>NS</td></tr><tr><td>Nausea/Week</td><td>[EMPTY_CELL]</td><td>6.6 (8.1)</td><td>NS</td></tr><tr><td>Vomiting/Week</td><td>[EMPTY_CELL]</td><td>1.0 (1.5)</td><td>NS</td></tr><tr><td>Heartburn/Week</td><td>[EMPTY_CELL]</td><td>1.0 (3.4)</td><td>NS</td></tr><tr><td>Burping/Week</td><td>[EMPTY_CELL]</td><td>0.7 (1.6)</td><td>NS</td></tr><tr><td>Poor Sleep/Week</td><td>[EMPTY_CELL]</td><td>4.7 (11.4)</td><td>NS</td></tr><tr><td>Brush AM/Week</td><td>[EMPTY_CELL]</td><td>5.0 (3.1)</td><td>NS</td></tr><tr><td>Brush PM/Week</td><td>[EMPTY_CELL]</td><td>3.8 (3.5)</td><td>NS</td></tr><tr><td>Night Bruxing/Week</td><td>[EMPTY_CELL]</td><td>2.5 (3.5)</td><td>NS</td></tr><tr><td>Snacking/Week</td><td>[EMPTY_CELL]</td><td>7.8 (5.0)</td><td>NS</td></tr><tr><td>Soda/Week</td><td>[EMPTY_CELL]</td><td>3.6 (2.1)</td><td>NS</td></tr><tr><td>Antacids/Week</td><td>[EMPTY_CELL]</td><td>0.9 (1.6)</td><td>NS</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 48, 13]}, {\"cell\": \"<b>Non-GERD Subjects<i>N</i> = 16</b>\", \"bbox\": [255, 4, 320, 22]}, {\"cell\": \"<b>GERD Subjects<i>N</i> = 6</b>\", \"bbox\": [370, 4, 419, 22]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [470, 4, 476, 13]}, {\"cell\": \"Mean Age in Years (SD)\", \"bbox\": [1, 26, 78, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 26, 285, 36]}, {\"cell\": \"12.5 (4.1)\", \"bbox\": [370, 26, 401, 36]}, {\"cell\": \"NS\", \"bbox\": [470, 26, 480, 36]}, {\"cell\": \"Abdominal Pain Composite Score (Frequency/Week X Severity)\", \"bbox\": [1, 40, 204, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 40, 285, 50]}, {\"cell\": \"28.8 (21.4)\", \"bbox\": [370, 40, 404, 50]}, {\"cell\": \".029\", \"bbox\": [470, 40, 484, 50]}, {\"cell\": \"Fried Food Consumption/Week\", \"bbox\": [1, 54, 103, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 54, 282, 64]}, {\"cell\": \"4.2 (8.3)\", \"bbox\": [370, 54, 397, 64]}, {\"cell\": \"NS\", \"bbox\": [470, 54, 480, 64]}, {\"cell\": \"Spicy Food Consumption/Week\", \"bbox\": [1, 68, 104, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 68, 282, 78]}, {\"cell\": \"4.8 (9.7)\", \"bbox\": [370, 68, 397, 78]}, {\"cell\": \"NS\", \"bbox\": [470, 68, 480, 78]}, {\"cell\": \"Nausea/Week\", \"bbox\": [1, 82, 46, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 82, 282, 92]}, {\"cell\": \"6.6 (8.1)\", \"bbox\": [370, 82, 397, 92]}, {\"cell\": \"NS\", \"bbox\": [470, 82, 480, 92]}, {\"cell\": \"Vomiting/Week\", \"bbox\": [1, 96, 52, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 96, 282, 106]}, {\"cell\": \"1.0 (1.5)\", \"bbox\": [370, 96, 397, 106]}, {\"cell\": \"NS\", \"bbox\": [470, 96, 480, 106]}, {\"cell\": \"Heartburn/Week\", \"bbox\": [1, 110, 55, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 110, 282, 120]}, {\"cell\": \"1.0 (3.4)\", \"bbox\": [370, 110, 397, 120]}, {\"cell\": \"NS\", \"bbox\": [470, 110, 480, 120]}, {\"cell\": \"Burping/Week\", \"bbox\": [1, 124, 48, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 124, 282, 134]}, {\"cell\": \"0.7 (1.6)\", \"bbox\": [370, 124, 397, 134]}, {\"cell\": \"NS\", \"bbox\": [470, 124, 480, 134]}, {\"cell\": \"Poor Sleep/Week\", \"bbox\": [1, 138, 57, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 138, 282, 148]}, {\"cell\": \"4.7 (11.4)\", \"bbox\": [370, 138, 401, 148]}, {\"cell\": \"NS\", \"bbox\": [470, 138, 480, 148]}, {\"cell\": \"Brush AM/Week\", \"bbox\": [1, 152, 54, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 152, 282, 162]}, {\"cell\": \"5.0 (3.1)\", \"bbox\": [370, 152, 397, 162]}, {\"cell\": \"NS\", \"bbox\": [470, 152, 480, 162]}, {\"cell\": \"Brush PM/Week\", \"bbox\": [1, 166, 53, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 166, 282, 176]}, {\"cell\": \"3.8 (3.5)\", \"bbox\": [370, 166, 397, 176]}, {\"cell\": \"NS\", \"bbox\": [470, 166, 480, 176]}, {\"cell\": \"Night Bruxing/Week\", \"bbox\": [1, 180, 67, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 180, 282, 190]}, {\"cell\": \"2.5 (3.5)\", \"bbox\": [370, 180, 397, 190]}, {\"cell\": \"NS\", \"bbox\": [470, 180, 480, 190]}, {\"cell\": \"Snacking/Week\", \"bbox\": [1, 194, 51, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 194, 282, 204]}, {\"cell\": \"7.8 (5.0)\", \"bbox\": [370, 194, 397, 204]}, {\"cell\": \"NS\", \"bbox\": [470, 194, 480, 204]}, {\"cell\": \"Soda/Week\", \"bbox\": [1, 208, 38, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 208, 282, 218]}, {\"cell\": \"3.6 (2.1)\", \"bbox\": [370, 208, 397, 218]}, {\"cell\": \"NS\", \"bbox\": [470, 208, 480, 218]}, {\"cell\": \"Antacids/Week\", \"bbox\": [1, 222, 50, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 222, 282, 232]}, {\"cell\": \"0.9 (1.6)\", \"bbox\": [370, 222, 397, 232]}, {\"cell\": \"NS\", \"bbox\": [470, 222, 480, 232]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5553729_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}704{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td><b>N (%)</b></td><td><b>Irisin levels (μg/ml)</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>Tumor size (cm)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>≤2.0</td><td>43 (48.3 %)</td><td>2.34 ± 0.52</td><td>[EMPTY_CELL]</td></tr><tr><td>2.1–5.0</td><td>31 (34.8 %)</td><td>2.58 ± 0.59</td><td>[EMPTY_CELL]</td></tr><tr><td>>5.0</td><td>15 (16.9 %)</td><td>2.65 ± 0.57</td><td>[EMPTY_CELL]</td></tr><tr><td>Grade</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>I</td><td>14 (14.3 %)</td><td>2.35 ± 0.59</td><td>[EMPTY_CELL]</td></tr><tr><td>II</td><td>29 (29.6 %)</td><td>2.42 ± 0.59</td><td>[EMPTY_CELL]</td></tr><tr><td>III</td><td>55 (56.1 %)</td><td>2.54 ± 0.56</td><td>[EMPTY_CELL]</td></tr><tr><td>Stage</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>I</td><td>21 (30.4 %)</td><td>2.31 ± 0.54</td><td>[EMPTY_CELL]</td></tr><tr><td>II</td><td>28 (40.6 %)</td><td>2.52 ± 0.58</td><td>[EMPTY_CELL]</td></tr><tr><td>III</td><td>20 (29.0 %)</td><td>2.75 ± 0.50<sup>a</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Lymph nodes</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Negative</td><td>40 (56.3 %)</td><td>2.44 ± 0.58</td><td>[EMPTY_CELL]</td></tr><tr><td>Positive</td><td>31 (43.7 %)</td><td>2.66 ± 0.53</td><td>[EMPTY_CELL]</td></tr><tr><td>Concurrent DCIS</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>34 (34.0 %)</td><td>2.37 ± 0.58</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>66 (66.0 %)</td><td>2.54 ± 0.56</td><td>[EMPTY_CELL]</td></tr><tr><td>ER status</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Negative</td><td>24 (25.3 %)</td><td>2.46 ± 0.58</td><td>[EMPTY_CELL]</td></tr><tr><td>Positive</td><td>71 (74.7 %)</td><td>2.46 ± 0.56</td><td>[EMPTY_CELL]</td></tr><tr><td>PR status</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Negative</td><td>30 (29.7 %)</td><td>2.47 ± 0.57</td><td>[EMPTY_CELL]</td></tr><tr><td>Positive</td><td>65 (68.4 %)</td><td>2.46 ± 0.57</td><td>[EMPTY_CELL]</td></tr><tr><td>c-erb-B2 status</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Negative</td><td>64 (68.1 %)</td><td>2.41 ± 0.52</td><td>[EMPTY_CELL]</td></tr><tr><td>Positive</td><td>30 (31.9 %)</td><td>2.56 ± 0.66</td><td>[EMPTY_CELL]</td></tr><tr><td>Ki67 Value</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><10 %</td><td>23 (24.5 %)</td><td>2.27 ± 0.54</td><td>[EMPTY_CELL]</td></tr><tr><td>10–15 %</td><td>16 (17.0 %)</td><td>2.53 ± 0.67</td><td>[EMPTY_CELL]</td></tr><tr><td>16–30 %</td><td>25 (26.6 %)</td><td>2.58 ± 0.54</td><td>[EMPTY_CELL]</td></tr><tr><td>>30 %</td><td>30 (31.9 %)</td><td>2.49 ± 0.53</td><td>[EMPTY_CELL]</td></tr><tr><td>P53 status</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><10 %</td><td>52 (57.8 %)</td><td>2.45 ± 0.55</td><td>[EMPTY_CELL]</td></tr><tr><td>>10 %</td><td>38 (42.2 %)</td><td>2.49 ± 0.57</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 5, 48, 14]}, {\"cell\": \"<b>N (%)</b>\", \"bbox\": [74, 5, 94, 14]}, {\"cell\": \"<b>Irisin levels (μg/ml)</b>\", \"bbox\": [130, 5, 193, 14]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [211, 5, 236, 14]}, {\"cell\": \"Tumor size (cm)\", \"bbox\": [1, 18, 54, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 18, 230, 27]}, {\"cell\": \"≤2.0\", \"bbox\": [1, 32, 17, 41]}, {\"cell\": \"43 (48.3 %)\", \"bbox\": [74, 32, 112, 41]}, {\"cell\": \"2.34 ± 0.52\", \"bbox\": [130, 32, 166, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.1–5.0\", \"bbox\": [1, 46, 24, 55]}, {\"cell\": \"31 (34.8 %)\", \"bbox\": [74, 46, 112, 55]}, {\"cell\": \"2.58 ± 0.59\", \"bbox\": [130, 46, 166, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">5.0\", \"bbox\": [1, 60, 16, 69]}, {\"cell\": \"15 (16.9 %)\", \"bbox\": [74, 60, 112, 69]}, {\"cell\": \"2.65 ± 0.57\", \"bbox\": [130, 60, 166, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Grade\", \"bbox\": [1, 74, 21, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 74, 232, 83]}, {\"cell\": \"I\", \"bbox\": [1, 88, 4, 97]}, {\"cell\": \"14 (14.3 %)\", \"bbox\": [74, 88, 112, 97]}, {\"cell\": \"2.35 ± 0.59\", \"bbox\": [130, 88, 166, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [1, 102, 6, 111]}, {\"cell\": \"29 (29.6 %)\", \"bbox\": [74, 102, 112, 111]}, {\"cell\": \"2.42 ± 0.59\", \"bbox\": [130, 102, 166, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [1, 116, 7, 125]}, {\"cell\": \"55 (56.1 %)\", \"bbox\": [74, 116, 112, 125]}, {\"cell\": \"2.54 ± 0.56\", \"bbox\": [130, 116, 166, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stage\", \"bbox\": [1, 130, 20, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 130, 230, 139]}, {\"cell\": \"I\", \"bbox\": [1, 144, 4, 153]}, {\"cell\": \"21 (30.4 %)\", \"bbox\": [74, 144, 112, 153]}, {\"cell\": \"2.31 ± 0.54\", \"bbox\": [130, 144, 166, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [1, 158, 6, 167]}, {\"cell\": \"28 (40.6 %)\", \"bbox\": [74, 158, 112, 167]}, {\"cell\": \"2.52 ± 0.58\", \"bbox\": [130, 158, 166, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [1, 172, 7, 181]}, {\"cell\": \"20 (29.0 %)\", \"bbox\": [74, 172, 112, 181]}, {\"cell\": \"2.75 ± 0.50<sup>a</sup>\", \"bbox\": [130, 170, 168, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lymph nodes\", \"bbox\": [1, 186, 47, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 186, 230, 195]}, {\"cell\": \"Negative\", \"bbox\": [1, 200, 31, 209]}, {\"cell\": \"40 (56.3 %)\", \"bbox\": [74, 200, 112, 209]}, {\"cell\": \"2.44 ± 0.58\", \"bbox\": [130, 200, 166, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [1, 214, 27, 223]}, {\"cell\": \"31 (43.7 %)\", \"bbox\": [74, 214, 112, 223]}, {\"cell\": \"2.66 ± 0.53\", \"bbox\": [130, 214, 166, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Concurrent DCIS\", \"bbox\": [1, 228, 56, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 228, 230, 237]}, {\"cell\": \"No\", \"bbox\": [1, 242, 12, 251]}, {\"cell\": \"34 (34.0 %)\", \"bbox\": [74, 242, 112, 251]}, {\"cell\": \"2.37 ± 0.58\", \"bbox\": [130, 242, 166, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [1, 256, 13, 265]}, {\"cell\": \"66 (66.0 %)\", \"bbox\": [74, 256, 112, 265]}, {\"cell\": \"2.54 ± 0.56\", \"bbox\": [130, 256, 166, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER status\", \"bbox\": [1, 270, 31, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 270, 230, 279]}, {\"cell\": \"Negative\", \"bbox\": [1, 284, 31, 293]}, {\"cell\": \"24 (25.3 %)\", \"bbox\": [74, 284, 112, 293]}, {\"cell\": \"2.46 ± 0.58\", \"bbox\": [130, 284, 166, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [1, 298, 27, 307]}, {\"cell\": \"71 (74.7 %)\", \"bbox\": [74, 298, 112, 307]}, {\"cell\": \"2.46 ± 0.56\", \"bbox\": [130, 298, 166, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PR status\", \"bbox\": [1, 312, 31, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 312, 230, 321]}, {\"cell\": \"Negative\", \"bbox\": [1, 326, 31, 335]}, {\"cell\": \"30 (29.7 %)\", \"bbox\": [74, 326, 112, 335]}, {\"cell\": \"2.47 ± 0.57\", \"bbox\": [130, 326, 166, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [1, 340, 27, 349]}, {\"cell\": \"65 (68.4 %)\", \"bbox\": [74, 340, 112, 349]}, {\"cell\": \"2.46 ± 0.57\", \"bbox\": [130, 340, 166, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"c-erb-B2 status\", \"bbox\": [1, 354, 50, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 354, 230, 363]}, {\"cell\": \"Negative\", \"bbox\": [1, 368, 31, 377]}, {\"cell\": \"64 (68.1 %)\", \"bbox\": [74, 368, 112, 377]}, {\"cell\": \"2.41 ± 0.52\", \"bbox\": [130, 368, 166, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [1, 382, 27, 391]}, {\"cell\": \"30 (31.9 %)\", \"bbox\": [74, 382, 112, 391]}, {\"cell\": \"2.56 ± 0.66\", \"bbox\": [130, 382, 166, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ki67 Value\", \"bbox\": [1, 396, 35, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 396, 230, 405]}, {\"cell\": \"<10 %\", \"bbox\": [1, 410, 23, 419]}, {\"cell\": \"23 (24.5 %)\", \"bbox\": [74, 410, 112, 419]}, {\"cell\": \"2.27 ± 0.54\", \"bbox\": [130, 410, 166, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10–15 %\", \"bbox\": [1, 424, 30, 433]}, {\"cell\": \"16 (17.0 %)\", \"bbox\": [74, 424, 112, 433]}, {\"cell\": \"2.53 ± 0.67\", \"bbox\": [130, 424, 166, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16–30 %\", \"bbox\": [1, 438, 30, 447]}, {\"cell\": \"25 (26.6 %)\", \"bbox\": [74, 438, 112, 447]}, {\"cell\": \"2.58 ± 0.54\", \"bbox\": [130, 438, 166, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">30 %\", \"bbox\": [1, 452, 23, 461]}, {\"cell\": \"30 (31.9 %)\", \"bbox\": [74, 452, 112, 461]}, {\"cell\": \"2.49 ± 0.53\", \"bbox\": [130, 452, 166, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P53 status\", \"bbox\": [1, 466, 35, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 466, 230, 475]}, {\"cell\": \"<10 %\", \"bbox\": [1, 480, 23, 489]}, {\"cell\": \"52 (57.8 %)\", \"bbox\": [74, 480, 112, 489]}, {\"cell\": \"2.45 ± 0.55\", \"bbox\": [130, 480, 166, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">10 %\", \"bbox\": [1, 494, 23, 503]}, {\"cell\": \"38 (42.2 %)\", \"bbox\": [74, 494, 112, 503]}, {\"cell\": \"2.49 ± 0.57\", \"bbox\": [130, 494, 166, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4642638_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}705{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>MaleN</b></td><td><b>FemaleN</b></td><td><b>TotalN (%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Acceptance</td><td>19</td><td>16</td><td>35 (35.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>No referral to professional care and/or not sure of acceptance for referral to professional care</td><td>12</td><td>10</td><td>22 (22.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>Refusals</td><td>21</td><td>21</td><td>44 (44.4)</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Total</b></td><td><b>52</b></td><td><b>47</b></td><td><b>99 (100.0)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>Hospitals/Community health station/Private health care providers</td><td>20</td><td>15</td><td>35 (35.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>Traditional healers</td><td>2</td><td>2</td><td>4 (4.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>Pharmacy keepers/Self-treatments</td><td>4</td><td>4</td><td>8 (8.1)</td></tr><tr><td>[EMPTY_CELL]</td><td><b>No health care</b></td><td><b>26</b></td><td><b>26</b></td><td><b>52 (52.5)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Total</b></td><td><b>52</b></td><td><b>47</b></td><td><b>99 (100.0)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>In-patient somatic treatment</td><td>9</td><td>3</td><td>12 (12.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>Out-patient somatic treatment</td><td>8</td><td>14</td><td>22 (22.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>In-patient psychiatric treatment</td><td>5</td><td>1</td><td>6 (6.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>Out-patient psychiatric treatment</td><td>4</td><td>3</td><td>7 (7.1)</td></tr><tr><td>[EMPTY_CELL]</td><td><b>No treatment</b></td><td><b>26</b></td><td><b>26</b></td><td><b>52 (52.5)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Total</b></td><td><b>52</b></td><td><b>47</b></td><td><b>99 (100.0)</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MaleN</b>\", \"bbox\": [397, 4, 415, 22]}, {\"cell\": \"<b>FemaleN</b>\", \"bbox\": [419, 4, 446, 22]}, {\"cell\": \"<b>TotalN (%)</b>\", \"bbox\": [450, 4, 471, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 76, 45]}, {\"cell\": \"Acceptance\", \"bbox\": [94, 26, 133, 36]}, {\"cell\": \"19\", \"bbox\": [397, 26, 406, 36]}, {\"cell\": \"16\", \"bbox\": [419, 26, 429, 36]}, {\"cell\": \"35 (35.4)\", \"bbox\": [450, 26, 479, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No referral to professional care and/or not sure of acceptance for referral to professional care\", \"bbox\": [94, 47, 382, 66]}, {\"cell\": \"12\", \"bbox\": [397, 47, 406, 57]}, {\"cell\": \"10\", \"bbox\": [419, 47, 429, 57]}, {\"cell\": \"22 (22.2)\", \"bbox\": [450, 47, 479, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Refusals\", \"bbox\": [94, 68, 121, 78]}, {\"cell\": \"21\", \"bbox\": [397, 68, 406, 78]}, {\"cell\": \"21\", \"bbox\": [419, 68, 429, 78]}, {\"cell\": \"44 (44.4)\", \"bbox\": [450, 68, 479, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total</b>\", \"bbox\": [94, 80, 112, 89]}, {\"cell\": \"<b>52</b>\", \"bbox\": [397, 80, 407, 89]}, {\"cell\": \"<b>47</b>\", \"bbox\": [419, 80, 429, 89]}, {\"cell\": \"<b>99 (100.0)</b>\", \"bbox\": [450, 80, 474, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 102, 68, 112]}, {\"cell\": \"Hospitals/Community health station/Private health care providers\", \"bbox\": [94, 102, 306, 112]}, {\"cell\": \"20\", \"bbox\": [397, 102, 406, 112]}, {\"cell\": \"15\", \"bbox\": [419, 102, 429, 112]}, {\"cell\": \"35 (35.4)\", \"bbox\": [450, 102, 479, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Traditional healers\", \"bbox\": [94, 114, 154, 124]}, {\"cell\": \"2\", \"bbox\": [397, 114, 402, 124]}, {\"cell\": \"2\", \"bbox\": [419, 114, 425, 124]}, {\"cell\": \"4 (4.0)\", \"bbox\": [450, 114, 471, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pharmacy keepers/Self-treatments\", \"bbox\": [94, 126, 205, 136]}, {\"cell\": \"4\", \"bbox\": [397, 126, 402, 136]}, {\"cell\": \"4\", \"bbox\": [419, 126, 425, 136]}, {\"cell\": \"8 (8.1)\", \"bbox\": [450, 126, 471, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No health care</b>\", \"bbox\": [94, 138, 146, 147]}, {\"cell\": \"<b>26</b>\", \"bbox\": [397, 138, 407, 147]}, {\"cell\": \"<b>26</b>\", \"bbox\": [419, 138, 429, 147]}, {\"cell\": \"<b>52 (52.5)</b>\", \"bbox\": [450, 138, 481, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total</b>\", \"bbox\": [94, 150, 112, 159]}, {\"cell\": \"<b>52</b>\", \"bbox\": [397, 150, 407, 159]}, {\"cell\": \"<b>47</b>\", \"bbox\": [419, 150, 429, 159]}, {\"cell\": \"<b>99 (100.0)</b>\", \"bbox\": [450, 150, 474, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 64, 180]}, {\"cell\": \"In-patient somatic treatment\", \"bbox\": [94, 171, 188, 180]}, {\"cell\": \"9\", \"bbox\": [397, 171, 402, 180]}, {\"cell\": \"3\", \"bbox\": [419, 171, 425, 180]}, {\"cell\": \"12 (12.1)\", \"bbox\": [450, 171, 479, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Out-patient somatic treatment\", \"bbox\": [94, 183, 194, 192]}, {\"cell\": \"8\", \"bbox\": [397, 183, 402, 192]}, {\"cell\": \"14\", \"bbox\": [419, 183, 429, 192]}, {\"cell\": \"22 (22.2)\", \"bbox\": [450, 183, 479, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"In-patient psychiatric treatment\", \"bbox\": [94, 195, 197, 204]}, {\"cell\": \"5\", \"bbox\": [397, 195, 402, 204]}, {\"cell\": \"1\", \"bbox\": [419, 195, 425, 204]}, {\"cell\": \"6 (6.1)\", \"bbox\": [450, 195, 471, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Out-patient psychiatric treatment\", \"bbox\": [94, 207, 203, 216]}, {\"cell\": \"4\", \"bbox\": [397, 207, 402, 216]}, {\"cell\": \"3\", \"bbox\": [419, 207, 425, 216]}, {\"cell\": \"7 (7.1)\", \"bbox\": [450, 207, 471, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No treatment</b>\", \"bbox\": [94, 219, 141, 227]}, {\"cell\": \"<b>26</b>\", \"bbox\": [397, 219, 407, 227]}, {\"cell\": \"<b>26</b>\", \"bbox\": [419, 219, 429, 227]}, {\"cell\": \"<b>52 (52.5)</b>\", \"bbox\": [450, 219, 481, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total</b>\", \"bbox\": [94, 231, 112, 239]}, {\"cell\": \"<b>52</b>\", \"bbox\": [397, 231, 407, 239]}, {\"cell\": \"<b>47</b>\", \"bbox\": [419, 231, 429, 239]}, {\"cell\": \"<b>99 (100.0)</b>\", \"bbox\": [450, 231, 460, 239]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2830177_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}706{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b><i>Inclusion criteria</i></b></td><td><b><i>Exclusion criteria</i></b></td></tr></thead><tbody><tr><td><i>Chen</i> et al. <i>2008</i></td><td>Febrile infants < 3 months with suspected serious bacterial infection (SBI): UTI, pneumonia, positive CSF or blood colture.</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Carrol</i> et al. <i>2009</i></td><td>Children with suspected Serious Bacterial Infection (meningitides or Pneumonia) of a Malawian Hospital.Age: 2 months–16 years.</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Sarafidis</i> et al. <i>2010</i></td><td>Admission to a NICU of a single university hospital for suspected Late Onset Sepsis (LOS) >3 days.</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Kevan</i> et al. <i>2011</i></td><td>Pediatric intestinal failure (IF) patients with central venous catheter (CVC) of a children hospital. Age: between 3 months and 4 years.</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Miedema</i> et al. <i>2011</i></td><td>Febrile neutropenia and oncological underlying disease.</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Arzanian</i> et al. <i>2011</i></td><td>Fever >38 °C for at least one hour or >38,3° in a single measurement; absolute neutrophil count of less than 500/mm3.</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Schlapbach</i> et al. <i>2013</i></td><td>Neonates >34 weeks admitted within the first 72 h with suspicion of sepsis (Early onset sepsis).</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Mazzucchelli</i> et al. <i>2013</i></td><td>Gestational age younger than 32 weeks and/or birth weigh less than 1500 g free of infection.</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Adly</i> et al. <i>2014</i></td><td>Newborns with clinical and laboratory signs of sepsis.</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>Inclusion criteria</i></b>\", \"bbox\": [85, 4, 137, 13]}, {\"cell\": \"<b><i>Exclusion criteria</i></b>\", \"bbox\": [293, 4, 345, 13]}, {\"cell\": \"<i>Chen</i> et al. <i>2008</i>\", \"bbox\": [1, 17, 53, 27]}, {\"cell\": \"Febrile infants < 3 months with suspected serious bacterial infection (SBI): UTI, pneumonia, positive CSF or blood colture.\", \"bbox\": [85, 17, 284, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 17, 339, 27]}, {\"cell\": \"<i>Carrol</i> et al. <i>2009</i>\", \"bbox\": [1, 40, 55, 50]}, {\"cell\": \"Children with suspected Serious Bacterial Infection (meningitides or Pneumonia) of a Malawian Hospital.Age: 2 months–16 years.\", \"bbox\": [85, 40, 257, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 40, 399, 50]}, {\"cell\": \"<i>Sarafidis</i> et al. <i>2010</i>\", \"bbox\": [1, 72, 63, 82]}, {\"cell\": \"Admission to a NICU of a single university hospital for suspected Late Onset Sepsis (LOS) >3 days.\", \"bbox\": [85, 72, 260, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 72, 477, 91]}, {\"cell\": \"<i>Kevan</i> et al. <i>2011</i>\", \"bbox\": [1, 95, 55, 105]}, {\"cell\": \"Pediatric intestinal failure (IF) patients with central venous catheter (CVC) of a children hospital. Age: between 3 months and 4 years.\", \"bbox\": [85, 95, 273, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 95, 484, 141]}, {\"cell\": \"<i>Miedema</i> et al. <i>2011</i>\", \"bbox\": [1, 145, 66, 155]}, {\"cell\": \"Febrile neutropenia and oncological underlying disease.\", \"bbox\": [85, 145, 267, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 145, 339, 155]}, {\"cell\": \"<i>Arzanian</i> et al. <i>2011</i>\", \"bbox\": [1, 159, 64, 169]}, {\"cell\": \"Fever >38 °C for at least one hour or >38,3° in a single measurement; absolute neutrophil count of less than 500/mm3.\", \"bbox\": [85, 159, 281, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 159, 481, 187]}, {\"cell\": \"<i>Schlapbach</i> et al. <i>2013</i>\", \"bbox\": [1, 191, 73, 201]}, {\"cell\": \"Neonates >34 weeks admitted within the first 72 h with suspicion of sepsis (Early onset sepsis).\", \"bbox\": [85, 191, 267, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 191, 339, 201]}, {\"cell\": \"<i>Mazzucchelli</i> et al. <i>2013</i>\", \"bbox\": [1, 214, 76, 224]}, {\"cell\": \"Gestational age younger than 32 weeks and/or birth weigh less than 1500 g free of infection.\", \"bbox\": [85, 214, 278, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 214, 339, 224]}, {\"cell\": \"<i>Adly</i> et al. <i>2014</i>\", \"bbox\": [1, 237, 50, 247]}, {\"cell\": \"Newborns with clinical and laboratory signs of sepsis.\", \"bbox\": [85, 237, 258, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 237, 480, 256]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4847353_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}707{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Parameter</b></td><td colspan=\\\"3\\\"><b>AEG (<i>n</i> = 752)</b></td><td colspan=\\\"3\\\"><b>PAG (<i>n</i> = 267)</b></td></tr><tr><td><b>AMS (<i>n</i> = 461)</b></td><td><b>Non-AMS (<i>n</i> = 291)</b></td><td><b><i>P</i>-value</b></td><td><b>AMS (<i>n</i> = 104)</b></td><td><b>Non-AMS (<i>n</i> = 163)</b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td>Age (year)</td><td>23.0 ± 3.9</td><td>22.8 ± 3.9</td><td>0.475</td><td>[EMPTY_CELL]</td><td>21.8 ± 2.3</td><td>0.162</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>21.7 ± 2.2</td><td>21.8 ± 2.0</td><td>0.496</td><td>[EMPTY_CELL]</td><td>21.4 ± 2.6</td><td>0.303</td></tr><tr><td>Han/ethnicity (%)</td><td>87.0 %</td><td>88.3 %</td><td>0.856</td><td>[EMPTY_CELL]</td><td>88.9 %</td><td>0.737</td></tr><tr><td>Medicine use (%)</td><td>0 %</td><td>0 %</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0 %</td><td>[EMPTY_CELL]</td></tr><tr><td>Smokers (%)</td><td>36.9 %</td><td>44.7 %</td><td>0.058</td><td>[EMPTY_CELL]</td><td>47.9 %</td><td>0.067</td></tr><tr><td>LLS</td><td>4.8 ± 1.7</td><td>1.6 ± 1.1</td><td>0.000</td><td>[EMPTY_CELL]</td><td>1.2 ± 1.2</td><td>0.000</td></tr><tr><td>HR (pre-exposure)</td><td>65.7 ± 9.6</td><td>65.7 ± 9.6</td><td>0.978</td><td>[EMPTY_CELL]</td><td>78.3 ± 10.6</td><td>0.091</td></tr><tr><td>HR (post-exposure)</td><td>86.5 ± 12.1<sup>a</sup></td><td>82.2 ± 10.9<sup>a</sup></td><td>0.003</td><td>[EMPTY_CELL]</td><td>85.1 ± 10.9<sup>a</sup></td><td>0.487</td></tr><tr><td><b>△</b>HR (post-pre)</td><td>20.9 ± 11.7</td><td>16.6 ± 10.6</td><td>0.009</td><td>[EMPTY_CELL]</td><td>6.9 ± 9.0</td><td>0.010</td></tr><tr><td>SaO<sub>2</sub> (pre-exposure)</td><td>98.10 ± 1.00</td><td>98.12 ± 1.02</td><td>0.436</td><td>[EMPTY_CELL]</td><td>91.82 ± 2.30</td><td>0.45</td></tr><tr><td>SaO<sub>2</sub> (post-exposure)</td><td>88.35 ± 3.23<sup>a</sup></td><td>89.38 ± 2.76<sup>a</sup></td><td>0.008</td><td>[EMPTY_CELL]</td><td>87.67 ± 2.82<sup>a</sup></td><td>0.007</td></tr><tr><td><b>△</b>SaO<sub>2</sub> (pre-post)</td><td>9.75 ± 3.31</td><td>8.73 ± 2.89</td><td>0.008</td><td>[EMPTY_CELL]</td><td>4.15 ± 2.86</td><td>0.010</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"<b>AEG (<i>n</i> = 752)</b>\", \"bbox\": [94, 4, 139, 13]}, {\"cell\": \"<b>PAG (<i>n</i> = 267)</b>\", \"bbox\": [302, 4, 347, 13]}, {\"cell\": \"<b>AMS (<i>n</i> = 461)</b>\", \"bbox\": [94, 17, 141, 27]}, {\"cell\": \"<b>Non-AMS (<i>n</i> = 291)</b>\", \"bbox\": [165, 17, 228, 27]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [252, 17, 277, 27]}, {\"cell\": \"<b>AMS (<i>n</i> = 104)</b>\", \"bbox\": [302, 17, 348, 27]}, {\"cell\": \"<b>Non-AMS (<i>n</i> = 163)</b>\", \"bbox\": [373, 17, 435, 27]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [460, 17, 484, 27]}, {\"cell\": \"Age (year)\", \"bbox\": [1, 30, 35, 40]}, {\"cell\": \"23.0 ± 3.9\", \"bbox\": [94, 30, 126, 40]}, {\"cell\": \"22.8 ± 3.9\", \"bbox\": [165, 30, 197, 40]}, {\"cell\": \"0.475\", \"bbox\": [252, 30, 271, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 30, 333, 40]}, {\"cell\": \"21.8 ± 2.3\", \"bbox\": [373, 30, 404, 40]}, {\"cell\": \"0.162\", \"bbox\": [460, 30, 478, 40]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [1, 43, 41, 54]}, {\"cell\": \"21.7 ± 2.2\", \"bbox\": [94, 44, 126, 54]}, {\"cell\": \"21.8 ± 2.0\", \"bbox\": [165, 44, 197, 54]}, {\"cell\": \"0.496\", \"bbox\": [252, 44, 271, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 44, 333, 54]}, {\"cell\": \"21.4 ± 2.6\", \"bbox\": [373, 44, 404, 54]}, {\"cell\": \"0.303\", \"bbox\": [460, 44, 478, 54]}, {\"cell\": \"Han/ethnicity (%)\", \"bbox\": [1, 58, 58, 68]}, {\"cell\": \"87.0 %\", \"bbox\": [94, 58, 117, 68]}, {\"cell\": \"88.3 %\", \"bbox\": [165, 58, 188, 68]}, {\"cell\": \"0.856\", \"bbox\": [252, 58, 271, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 58, 325, 68]}, {\"cell\": \"88.9 %\", \"bbox\": [373, 58, 396, 68]}, {\"cell\": \"0.737\", \"bbox\": [460, 58, 478, 68]}, {\"cell\": \"Medicine use (%)\", \"bbox\": [1, 72, 57, 82]}, {\"cell\": \"0 %\", \"bbox\": [94, 72, 108, 82]}, {\"cell\": \"0 %\", \"bbox\": [165, 72, 179, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 72, 316, 82]}, {\"cell\": \"0 %\", \"bbox\": [373, 72, 387, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Smokers (%)\", \"bbox\": [1, 86, 42, 96]}, {\"cell\": \"36.9 %\", \"bbox\": [94, 86, 117, 96]}, {\"cell\": \"44.7 %\", \"bbox\": [165, 86, 188, 96]}, {\"cell\": \"0.058\", \"bbox\": [252, 86, 271, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 86, 325, 96]}, {\"cell\": \"47.9 %\", \"bbox\": [373, 86, 396, 96]}, {\"cell\": \"0.067\", \"bbox\": [460, 86, 478, 96]}, {\"cell\": \"LLS\", \"bbox\": [1, 100, 13, 110]}, {\"cell\": \"4.8 ± 1.7\", \"bbox\": [94, 100, 122, 110]}, {\"cell\": \"1.6 ± 1.1\", \"bbox\": [165, 100, 193, 110]}, {\"cell\": \"0.000\", \"bbox\": [252, 100, 271, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 100, 329, 110]}, {\"cell\": \"1.2 ± 1.2\", \"bbox\": [373, 100, 401, 110]}, {\"cell\": \"0.000\", \"bbox\": [460, 100, 478, 110]}, {\"cell\": \"HR (pre-exposure)\", \"bbox\": [1, 114, 60, 124]}, {\"cell\": \"65.7 ± 9.6\", \"bbox\": [94, 114, 126, 124]}, {\"cell\": \"65.7 ± 9.6\", \"bbox\": [165, 114, 197, 124]}, {\"cell\": \"0.978\", \"bbox\": [252, 114, 271, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 114, 333, 124]}, {\"cell\": \"78.3 ± 10.6\", \"bbox\": [373, 114, 408, 124]}, {\"cell\": \"0.091\", \"bbox\": [460, 114, 478, 124]}, {\"cell\": \"HR (post-exposure)\", \"bbox\": [1, 128, 63, 138]}, {\"cell\": \"86.5 ± 12.1<sup>a</sup>\", \"bbox\": [94, 127, 132, 138]}, {\"cell\": \"82.2 ± 10.9<sup>a</sup>\", \"bbox\": [165, 127, 203, 138]}, {\"cell\": \"0.003\", \"bbox\": [252, 128, 271, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 127, 340, 138]}, {\"cell\": \"85.1 ± 10.9<sup>a</sup>\", \"bbox\": [373, 127, 411, 138]}, {\"cell\": \"0.487\", \"bbox\": [460, 128, 478, 138]}, {\"cell\": \"<b>△</b>HR (post-pre)\", \"bbox\": [1, 142, 49, 152]}, {\"cell\": \"20.9 ± 11.7\", \"bbox\": [94, 142, 130, 152]}, {\"cell\": \"16.6 ± 10.6\", \"bbox\": [165, 142, 201, 152]}, {\"cell\": \"0.009\", \"bbox\": [252, 142, 271, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 142, 337, 152]}, {\"cell\": \"6.9 ± 9.0\", \"bbox\": [373, 142, 401, 152]}, {\"cell\": \"0.010\", \"bbox\": [460, 142, 478, 152]}, {\"cell\": \"SaO<sub>2</sub> (pre-exposure)\", \"bbox\": [1, 156, 66, 166]}, {\"cell\": \"98.10 ± 1.00\", \"bbox\": [94, 156, 134, 166]}, {\"cell\": \"98.12 ± 1.02\", \"bbox\": [165, 156, 205, 166]}, {\"cell\": \"0.436\", \"bbox\": [252, 156, 271, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 156, 341, 166]}, {\"cell\": \"91.82 ± 2.30\", \"bbox\": [373, 156, 412, 166]}, {\"cell\": \"0.45\", \"bbox\": [460, 156, 474, 166]}, {\"cell\": \"SaO<sub>2</sub> (post-exposure)\", \"bbox\": [1, 170, 70, 180]}, {\"cell\": \"88.35 ± 3.23<sup>a</sup>\", \"bbox\": [94, 169, 136, 180]}, {\"cell\": \"89.38 ± 2.76<sup>a</sup>\", \"bbox\": [165, 169, 207, 180]}, {\"cell\": \"0.008\", \"bbox\": [252, 170, 271, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 169, 344, 180]}, {\"cell\": \"87.67 ± 2.82<sup>a</sup>\", \"bbox\": [373, 169, 415, 180]}, {\"cell\": \"0.007\", \"bbox\": [460, 170, 478, 180]}, {\"cell\": \"<b>△</b>SaO<sub>2</sub> (pre-post)\", \"bbox\": [1, 184, 56, 194]}, {\"cell\": \"9.75 ± 3.31\", \"bbox\": [94, 184, 130, 194]}, {\"cell\": \"8.73 ± 2.89\", \"bbox\": [165, 184, 201, 194]}, {\"cell\": \"0.008\", \"bbox\": [252, 184, 271, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 184, 337, 194]}, {\"cell\": \"4.15 ± 2.86\", \"bbox\": [373, 184, 408, 194]}, {\"cell\": \"0.010\", \"bbox\": [460, 184, 478, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4620634_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}708{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Medical Applications</b></td><td><b>Reductionism’s Objectives</b></td><td><b>Systems Biology Holistic Strategy</b></td></tr></thead><tbody><tr><td>Clinical focus</td><td>[EMPTY_CELL]</td><td>Interactions between components, like molecules, networks, modules, models (phenotypes)</td></tr><tr><td>Prevention</td><td>[EMPTY_CELL]</td><td>As an entity the whole range of culpable variables</td></tr><tr><td>Diagnosis</td><td>[EMPTY_CELL]</td><td>The patient as a “diseased person”</td></tr><tr><td>Therapy</td><td>[EMPTY_CELL]</td><td>Treating the patient from an holistic perspective</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Medical Applications</b>\", \"bbox\": [19, 10, 110, 21]}, {\"cell\": \"<b>Reductionism’s Objectives</b>\", \"bbox\": [145, 10, 257, 21]}, {\"cell\": \"<b>Systems Biology Holistic Strategy</b>\", \"bbox\": [313, 5, 384, 27]}, {\"cell\": \"Clinical focus\", \"bbox\": [37, 43, 92, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 43, 256, 54]}, {\"cell\": \"Interactions between components, like molecules, networks, modules, models (phenotypes)\", \"bbox\": [280, 32, 418, 65]}, {\"cell\": \"Prevention\", \"bbox\": [42, 75, 87, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [140, 69, 262, 91]}, {\"cell\": \"As an entity the whole range of culpable variables\", \"bbox\": [285, 69, 412, 91]}, {\"cell\": \"Diagnosis\", \"bbox\": [44, 101, 85, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 96, 265, 118]}, {\"cell\": \"The patient as a “diseased person”\", \"bbox\": [280, 101, 417, 112]}, {\"cell\": \"Therapy\", \"bbox\": [47, 128, 82, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 128, 263, 139]}, {\"cell\": \"Treating the patient from an holistic perspective\", \"bbox\": [292, 123, 405, 145]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5371916_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}709{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Region</b></td><td><b>Cluster size</b></td><td><b>Peak <i>t</i>-value</b></td><td colspan=\\\"3\\\"><b>Peak MNI coordinates</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>x</i></b></td><td><b><i>y</i></b></td><td><b><i>z</i></b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\"><b>Task effects</b></td></tr><tr><td><i>Numerical >Perceptive Spatial</i></td><td><i>n.s.</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Perceptive Spatial > Numerical</i></td><td><i>n.s.</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Mental Rotation > Numerical</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>N/A (adjacent to the R superior frontal gyrus)</td><td>301</td><td>4.33</td><td>31</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>R superior frontal gyrus</td><td>[EMPTY_CELL]</td><td>4.29</td><td>25</td><td>-8</td><td>[EMPTY_CELL]</td></tr><tr><td>R inferior parietal lobe (assigned to intraparietal sulcus)</td><td>217</td><td>4.70</td><td>40</td><td>-50</td><td>[EMPTY_CELL]</td></tr><tr><td>R superior parietal lobe (assigned to intraparietal sulcus)</td><td>[EMPTY_CELL]</td><td>3.94</td><td>28</td><td>-56</td><td>[EMPTY_CELL]</td></tr><tr><td>R middle occipital gyrus</td><td>29</td><td>3.87</td><td>40</td><td>-74</td><td>[EMPTY_CELL]</td></tr><tr><td>L inferior parietal lobe</td><td>28</td><td>4.27</td><td>-44</td><td>-56</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\"><i>Numerical > Mental Rotation</i></td></tr><tr><td>L superior frontal gyrus (assigned to frontal pole)</td><td>215</td><td>4.87</td><td>-14</td><td>64</td><td>[EMPTY_CELL]</td></tr><tr><td>L superior medial gyrus</td><td>[EMPTY_CELL]</td><td>4.07</td><td>-2</td><td>61</td><td>[EMPTY_CELL]</td></tr><tr><td>R inferior occipital gyrus (assigned to V3)</td><td>213</td><td>6.05</td><td>22</td><td>-92</td><td>[EMPTY_CELL]</td></tr><tr><td>R middle occipital gyrus</td><td>[EMPTY_CELL]</td><td>5.22</td><td>31</td><td>-92</td><td>[EMPTY_CELL]</td></tr><tr><td>R insula/rolandic operculum</td><td>129</td><td>5.13</td><td>49</td><td>-5</td><td>[EMPTY_CELL]</td></tr><tr><td>L calcarine gyrus</td><td>129</td><td>5.03</td><td>-17</td><td>-98</td><td>[EMPTY_CELL]</td></tr><tr><td>L insula</td><td>36</td><td>4.32</td><td>-41</td><td>-11</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Mental Rotation > Perceptive Spatial</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>R superior frontal gyrus</td><td>405</td><td>4.79</td><td>22</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>R middle frontal gyrus</td><td>[EMPTY_CELL]</td><td>4.52</td><td>25</td><td>10</td><td>[EMPTY_CELL]</td></tr><tr><td>R inferior parietal lobe (assigned to intraparietal sulcus)</td><td>146</td><td>4.05</td><td>40</td><td>-50</td><td>[EMPTY_CELL]</td></tr><tr><td>L middle frontal gyrus</td><td>44</td><td>3.71</td><td>-26</td><td>-2</td><td>[EMPTY_CELL]</td></tr><tr><td>R supramarginal gyrus (assigned to inferior parietal lobe)</td><td>40</td><td>3.96</td><td>58</td><td>-29</td><td>[EMPTY_CELL]</td></tr><tr><td>R middle occipital gyrus</td><td>26</td><td>4.44</td><td>40</td><td>-71</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Perceptive Spatial > Mental Rotation</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>L superior frontal gyrus (assigned to frontal pole)</td><td>119</td><td>4.43</td><td>-5</td><td>61</td><td>[EMPTY_CELL]</td></tr><tr><td>L middle occipital gyrus (assigned to V3)</td><td>27</td><td>3.76</td><td>-29</td><td>-95</td><td>[EMPTY_CELL]</td></tr><tr><td>L middle temporal gyrus</td><td>24</td><td>4.49</td><td>-62</td><td>-35</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Region</b>\", \"bbox\": [1, 6, 26, 15]}, {\"cell\": \"<b>Cluster size</b>\", \"bbox\": [214, 6, 256, 15]}, {\"cell\": \"<b>Peak <i>t</i>-value</b>\", \"bbox\": [292, 6, 336, 15]}, {\"cell\": \"<b>Peak MNI coordinates</b>\", \"bbox\": [399, 6, 475, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>x</i></b>\", \"bbox\": [378, 26, 383, 34]}, {\"cell\": \"<b><i>y</i></b>\", \"bbox\": [445, 26, 450, 34]}, {\"cell\": \"<b><i>z</i></b>\", \"bbox\": [502, 26, 508, 34]}, {\"cell\": \"<b>Task effects</b>\", \"bbox\": [1, 43, 43, 51]}, {\"cell\": \"<i>Numerical >Perceptive Spatial</i>\", \"bbox\": [1, 54, 96, 63]}, {\"cell\": \"<i>n.s.</i>\", \"bbox\": [229, 54, 242, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Perceptive Spatial > Numerical</i>\", \"bbox\": [1, 66, 96, 74]}, {\"cell\": \"<i>n.s.</i>\", \"bbox\": [229, 66, 242, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Mental Rotation > Numerical</i>\", \"bbox\": [1, 77, 90, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N/A (adjacent to the R superior frontal gyrus)\", \"bbox\": [1, 88, 136, 97]}, {\"cell\": \"301\", \"bbox\": [228, 88, 242, 97]}, {\"cell\": \"4.33\", \"bbox\": [306, 88, 322, 97]}, {\"cell\": \"31\", \"bbox\": [378, 88, 388, 97]}, {\"cell\": \"1\", \"bbox\": [445, 88, 451, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 88, 508, 97]}, {\"cell\": \"R superior frontal gyrus\", \"bbox\": [8, 100, 80, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4.29\", \"bbox\": [306, 100, 322, 108]}, {\"cell\": \"25\", \"bbox\": [378, 100, 388, 108]}, {\"cell\": \"-8\", \"bbox\": [439, 100, 451, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 100, 508, 108]}, {\"cell\": \"R inferior parietal lobe (assigned to intraparietal sulcus)\", \"bbox\": [8, 111, 174, 120]}, {\"cell\": \"217\", \"bbox\": [228, 111, 242, 120]}, {\"cell\": \"4.70\", \"bbox\": [306, 111, 322, 120]}, {\"cell\": \"40\", \"bbox\": [378, 111, 388, 120]}, {\"cell\": \"-50\", \"bbox\": [435, 111, 451, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 111, 508, 120]}, {\"cell\": \"R superior parietal lobe (assigned to intraparietal sulcus)\", \"bbox\": [8, 122, 178, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3.94\", \"bbox\": [306, 122, 322, 131]}, {\"cell\": \"28\", \"bbox\": [378, 122, 388, 131]}, {\"cell\": \"-56\", \"bbox\": [435, 122, 451, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 122, 508, 131]}, {\"cell\": \"R middle occipital gyrus\", \"bbox\": [1, 134, 74, 142]}, {\"cell\": \"29\", \"bbox\": [230, 134, 240, 142]}, {\"cell\": \"3.87\", \"bbox\": [306, 134, 322, 142]}, {\"cell\": \"40\", \"bbox\": [378, 134, 388, 142]}, {\"cell\": \"-74\", \"bbox\": [435, 134, 451, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 134, 508, 142]}, {\"cell\": \"L inferior parietal lobe\", \"bbox\": [1, 145, 67, 154]}, {\"cell\": \"28\", \"bbox\": [230, 145, 240, 154]}, {\"cell\": \"4.27\", \"bbox\": [306, 145, 322, 154]}, {\"cell\": \"-44\", \"bbox\": [373, 145, 388, 154]}, {\"cell\": \"-56\", \"bbox\": [435, 145, 451, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 145, 508, 154]}, {\"cell\": \"<i>Numerical > Mental Rotation</i>\", \"bbox\": [1, 157, 90, 165]}, {\"cell\": \"L superior frontal gyrus (assigned to frontal pole)\", \"bbox\": [1, 168, 147, 176]}, {\"cell\": \"215\", \"bbox\": [228, 168, 242, 176]}, {\"cell\": \"4.87\", \"bbox\": [306, 168, 322, 176]}, {\"cell\": \"-14\", \"bbox\": [373, 168, 388, 176]}, {\"cell\": \"64\", \"bbox\": [441, 168, 451, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 168, 508, 176]}, {\"cell\": \"L superior medial gyrus\", \"bbox\": [8, 179, 80, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4.07\", \"bbox\": [306, 179, 322, 188]}, {\"cell\": \"-2\", \"bbox\": [377, 179, 388, 188]}, {\"cell\": \"61\", \"bbox\": [441, 179, 451, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 179, 508, 188]}, {\"cell\": \"R inferior occipital gyrus (assigned to V3)\", \"bbox\": [0, 191, 125, 199]}, {\"cell\": \"213\", \"bbox\": [228, 191, 242, 199]}, {\"cell\": \"6.05\", \"bbox\": [306, 191, 322, 199]}, {\"cell\": \"22\", \"bbox\": [378, 191, 388, 199]}, {\"cell\": \"-92\", \"bbox\": [435, 191, 451, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [497, 191, 508, 199]}, {\"cell\": \"R middle occipital gyrus\", \"bbox\": [8, 202, 82, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5.22\", \"bbox\": [306, 202, 322, 211]}, {\"cell\": \"31\", \"bbox\": [378, 202, 388, 211]}, {\"cell\": \"-92\", \"bbox\": [435, 202, 451, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [502, 202, 508, 211]}, {\"cell\": \"R insula/rolandic operculum\", \"bbox\": [0, 213, 86, 222]}, {\"cell\": \"129\", \"bbox\": [228, 213, 242, 222]}, {\"cell\": \"5.13\", \"bbox\": [306, 213, 322, 222]}, {\"cell\": \"49\", \"bbox\": [378, 213, 388, 222]}, {\"cell\": \"-5\", \"bbox\": [439, 213, 451, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [502, 213, 508, 222]}, {\"cell\": \"L calcarine gyrus\", \"bbox\": [0, 225, 53, 233]}, {\"cell\": \"129\", \"bbox\": [228, 225, 242, 233]}, {\"cell\": \"5.03\", \"bbox\": [306, 225, 322, 233]}, {\"cell\": \"-17\", \"bbox\": [373, 225, 388, 233]}, {\"cell\": \"-98\", \"bbox\": [435, 225, 451, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [497, 225, 508, 233]}, {\"cell\": \"L insula\", \"bbox\": [1, 236, 25, 245]}, {\"cell\": \"36\", \"bbox\": [230, 236, 240, 245]}, {\"cell\": \"4.32\", \"bbox\": [306, 236, 322, 245]}, {\"cell\": \"-41\", \"bbox\": [373, 236, 388, 245]}, {\"cell\": \"-11\", \"bbox\": [435, 236, 451, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [502, 236, 508, 245]}, {\"cell\": \"<i>Mental Rotation > Perceptive Spatial</i>\", \"bbox\": [1, 247, 113, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"R superior frontal gyrus\", \"bbox\": [1, 259, 72, 267]}, {\"cell\": \"405\", \"bbox\": [228, 259, 242, 267]}, {\"cell\": \"4.79\", \"bbox\": [306, 259, 322, 267]}, {\"cell\": \"22\", \"bbox\": [378, 259, 388, 267]}, {\"cell\": \"1\", \"bbox\": [445, 259, 451, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 259, 508, 267]}, {\"cell\": \"R middle frontal gyrus\", \"bbox\": [1, 270, 68, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4.52\", \"bbox\": [306, 270, 322, 279]}, {\"cell\": \"25\", \"bbox\": [378, 270, 388, 279]}, {\"cell\": \"10\", \"bbox\": [441, 270, 451, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 270, 508, 279]}, {\"cell\": \"R inferior parietal lobe (assigned to intraparietal sulcus)\", \"bbox\": [1, 281, 166, 290]}, {\"cell\": \"146\", \"bbox\": [228, 281, 242, 290]}, {\"cell\": \"4.05\", \"bbox\": [306, 281, 322, 290]}, {\"cell\": \"40\", \"bbox\": [378, 281, 388, 290]}, {\"cell\": \"-50\", \"bbox\": [435, 281, 451, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 281, 508, 290]}, {\"cell\": \"L middle frontal gyrus\", \"bbox\": [1, 293, 67, 301]}, {\"cell\": \"44\", \"bbox\": [230, 293, 240, 301]}, {\"cell\": \"3.71\", \"bbox\": [306, 293, 322, 301]}, {\"cell\": \"-26\", \"bbox\": [373, 293, 388, 301]}, {\"cell\": \"-2\", \"bbox\": [439, 293, 451, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 293, 508, 301]}, {\"cell\": \"R supramarginal gyrus (assigned to inferior parietal lobe)\", \"bbox\": [1, 304, 171, 313]}, {\"cell\": \"40\", \"bbox\": [230, 304, 240, 313]}, {\"cell\": \"3.96\", \"bbox\": [306, 304, 322, 313]}, {\"cell\": \"58\", \"bbox\": [378, 304, 388, 313]}, {\"cell\": \"-29\", \"bbox\": [435, 304, 451, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 304, 508, 313]}, {\"cell\": \"R middle occipital gyrus\", \"bbox\": [1, 316, 74, 324]}, {\"cell\": \"26\", \"bbox\": [230, 316, 240, 324]}, {\"cell\": \"4.44\", \"bbox\": [306, 316, 322, 324]}, {\"cell\": \"40\", \"bbox\": [378, 316, 388, 324]}, {\"cell\": \"-71\", \"bbox\": [435, 316, 451, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 316, 508, 324]}, {\"cell\": \"<i>Perceptive Spatial > Mental Rotation</i>\", \"bbox\": [1, 327, 113, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"L superior frontal gyrus (assigned to frontal pole)\", \"bbox\": [1, 338, 147, 347]}, {\"cell\": \"119\", \"bbox\": [228, 338, 242, 347]}, {\"cell\": \"4.43\", \"bbox\": [306, 338, 322, 347]}, {\"cell\": \"-5\", \"bbox\": [377, 338, 388, 347]}, {\"cell\": \"61\", \"bbox\": [441, 338, 451, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 338, 508, 347]}, {\"cell\": \"L middle occipital gyrus (assigned to V3)\", \"bbox\": [0, 350, 124, 358]}, {\"cell\": \"27\", \"bbox\": [230, 350, 240, 358]}, {\"cell\": \"3.76\", \"bbox\": [306, 350, 322, 358]}, {\"cell\": \"-29\", \"bbox\": [373, 350, 388, 358]}, {\"cell\": \"-95\", \"bbox\": [435, 350, 451, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [498, 350, 508, 358]}, {\"cell\": \"L middle temporal gyrus\", \"bbox\": [0, 361, 75, 370]}, {\"cell\": \"24\", \"bbox\": [230, 361, 240, 370]}, {\"cell\": \"4.49\", \"bbox\": [306, 361, 322, 370]}, {\"cell\": \"-62\", \"bbox\": [373, 361, 388, 370]}, {\"cell\": \"-35\", \"bbox\": [435, 361, 451, 370]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [502, 361, 508, 370]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5357648_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}710{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Measure</b></td><td colspan=\\\"2\\\"><b>AB</b></td><td colspan=\\\"2\\\"><b>CD</b></td><td colspan=\\\"2\\\"><b>P</b></td><td rowspan=\\\"2\\\"><b><i>F</i>(2, 148), <i>p</i></b></td></tr><tr><td><b><i>M</i></b></td><td><b><i>SD</i></b></td><td><b><i>M</i></b></td><td><b><i>SD</i></b></td><td><b><i>M</i></b></td><td><b><i>SD</i></b></td></tr></thead><tbody><tr><td><b>Unaided baselines</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> HHIE</td><td>27.7</td><td>13.6</td><td>29.3</td><td>[EMPTY_CELL]</td><td>29.0</td><td>16.4</td><td>0.24, .79</td></tr><tr><td> CST (RAU)</td><td>53.8</td><td>27.1</td><td>51.8</td><td>[EMPTY_CELL]</td><td>53.4</td><td>24.7</td><td>0.13, .88</td></tr><tr><td> PHAPglobal</td><td>0.36</td><td>0.12</td><td>0.38</td><td>[EMPTY_CELL]</td><td>0.40</td><td>0.13</td><td>1.53, .22</td></tr><tr><td> PHAPavds</td><td>0.20</td><td>0.10</td><td>0.23</td><td>[EMPTY_CELL]</td><td>0.25</td><td>0.12</td><td>2.43, .09</td></tr><tr><td><b>Outcome Measures</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> PHABglobal</td><td>0.17</td><td>0.12</td><td>0.12</td><td>[EMPTY_CELL]</td><td>0.04</td><td>0.10</td><td><b><i>18.56, < .001</i></b></td></tr><tr><td> PHABavds</td><td>0.02</td><td>0.13</td><td>0.01</td><td>[EMPTY_CELL]</td><td>0.02</td><td>0.10</td><td>0.10, .90</td></tr><tr><td> CST benefit (RAU)</td><td>21.3</td><td>19.4</td><td>26.6</td><td>[EMPTY_CELL]</td><td>8.7</td><td>21.2</td><td><b><i>11.78, < .001</i></b></td></tr><tr><td> HHIE benefit</td><td>18.2</td><td>14.2</td><td>12.3</td><td>[EMPTY_CELL]</td><td>5.5</td><td>11.6</td><td><b><i>12.09, < .001</i></b></td></tr><tr><td> HASShaf</td><td>3.80</td><td>0.45</td><td>3.48</td><td>[EMPTY_CELL]</td><td>3.42</td><td>0.58</td><td><b><i>6.92, .001</i></b></td></tr><tr><td> HASSdisp</td><td>4.56</td><td>0.28</td><td>4.23</td><td>[EMPTY_CELL]</td><td>4.52</td><td>0.43</td><td><b><i>11.40, < .001</i></b></td></tr><tr><td> Usage (hours/day)</td><td>7.09</td><td>3.95</td><td>6.12</td><td>[EMPTY_CELL]</td><td>5.99</td><td>3.39</td><td>1.33, .27</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Measure</b>\", \"bbox\": [1, 24, 35, 33]}, {\"cell\": \"<b>AB</b>\", \"bbox\": [144, 8, 157, 18]}, {\"cell\": \"<b>CD</b>\", \"bbox\": [257, 8, 271, 18]}, {\"cell\": \"<b>P</b>\", \"bbox\": [374, 8, 381, 18]}, {\"cell\": \"<b><i>F</i>(2, 148), <i>p</i></b>\", \"bbox\": [455, 24, 497, 33]}, {\"cell\": \"<b><i>M</i></b>\", \"bbox\": [118, 24, 127, 33]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [173, 24, 186, 33]}, {\"cell\": \"<b><i>M</i></b>\", \"bbox\": [231, 24, 240, 33]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [286, 24, 299, 33]}, {\"cell\": \"<b><i>M</i></b>\", \"bbox\": [345, 24, 354, 33]}, {\"cell\": \"<b><i>SD</i></b>\", \"bbox\": [396, 24, 409, 33]}, {\"cell\": \"<b>Unaided baselines</b>\", \"bbox\": [0, 43, 72, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" HHIE\", \"bbox\": [8, 52, 29, 61]}, {\"cell\": \"27.7\", \"bbox\": [112, 52, 129, 61]}, {\"cell\": \"13.6\", \"bbox\": [168, 52, 186, 61]}, {\"cell\": \"29.3\", \"bbox\": [225, 52, 242, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 52, 299, 61]}, {\"cell\": \"29.0\", \"bbox\": [338, 52, 356, 61]}, {\"cell\": \"16.4\", \"bbox\": [395, 52, 412, 61]}, {\"cell\": \"0.24, .79\", \"bbox\": [456, 52, 489, 61]}, {\"cell\": \" CST (RAU)\", \"bbox\": [8, 61, 49, 70]}, {\"cell\": \"53.8\", \"bbox\": [112, 61, 129, 70]}, {\"cell\": \"27.1\", \"bbox\": [168, 61, 186, 70]}, {\"cell\": \"51.8\", \"bbox\": [225, 61, 242, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 61, 299, 70]}, {\"cell\": \"53.4\", \"bbox\": [338, 61, 356, 70]}, {\"cell\": \"24.7\", \"bbox\": [395, 61, 412, 70]}, {\"cell\": \"0.13, .88\", \"bbox\": [456, 61, 489, 70]}, {\"cell\": \" PHAPglobal\", \"bbox\": [8, 70, 53, 79]}, {\"cell\": \"0.36\", \"bbox\": [116, 70, 133, 79]}, {\"cell\": \"0.12\", \"bbox\": [173, 70, 190, 79]}, {\"cell\": \"0.38\", \"bbox\": [229, 70, 247, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 70, 303, 79]}, {\"cell\": \"0.40\", \"bbox\": [343, 70, 360, 79]}, {\"cell\": \"0.13\", \"bbox\": [399, 70, 417, 79]}, {\"cell\": \"1.53, .22\", \"bbox\": [456, 70, 489, 79]}, {\"cell\": \" PHAPavds\", \"bbox\": [8, 79, 49, 88]}, {\"cell\": \"0.20\", \"bbox\": [116, 79, 133, 88]}, {\"cell\": \"0.10\", \"bbox\": [173, 79, 190, 88]}, {\"cell\": \"0.23\", \"bbox\": [229, 79, 247, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 79, 303, 88]}, {\"cell\": \"0.25\", \"bbox\": [343, 79, 360, 88]}, {\"cell\": \"0.12\", \"bbox\": [399, 79, 417, 88]}, {\"cell\": \"2.43, .09\", \"bbox\": [456, 79, 489, 88]}, {\"cell\": \"<b>Outcome Measures</b>\", \"bbox\": [0, 88, 77, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" PHABglobal\", \"bbox\": [8, 97, 53, 106]}, {\"cell\": \"0.17\", \"bbox\": [116, 97, 133, 106]}, {\"cell\": \"0.12\", \"bbox\": [173, 97, 190, 106]}, {\"cell\": \"0.12\", \"bbox\": [229, 97, 247, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 97, 303, 106]}, {\"cell\": \"0.04\", \"bbox\": [343, 97, 360, 106]}, {\"cell\": \"0.10\", \"bbox\": [399, 97, 417, 106]}, {\"cell\": \"<b><i>18.56, < .001</i></b>\", \"bbox\": [452, 97, 501, 106]}, {\"cell\": \" PHABavds\", \"bbox\": [8, 106, 49, 115]}, {\"cell\": \"0.02\", \"bbox\": [116, 106, 133, 115]}, {\"cell\": \"0.13\", \"bbox\": [173, 106, 190, 115]}, {\"cell\": \"0.01\", \"bbox\": [229, 106, 247, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 106, 303, 115]}, {\"cell\": \"0.02\", \"bbox\": [343, 106, 360, 115]}, {\"cell\": \"0.10\", \"bbox\": [399, 106, 417, 115]}, {\"cell\": \"0.10, .90\", \"bbox\": [456, 106, 489, 115]}, {\"cell\": \" CST benefit (RAU)\", \"bbox\": [8, 115, 75, 124]}, {\"cell\": \"21.3\", \"bbox\": [112, 115, 129, 124]}, {\"cell\": \"19.4\", \"bbox\": [168, 115, 186, 124]}, {\"cell\": \"26.6\", \"bbox\": [225, 115, 242, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 115, 299, 124]}, {\"cell\": \"8.7\", \"bbox\": [343, 115, 356, 124]}, {\"cell\": \"21.2\", \"bbox\": [395, 115, 412, 124]}, {\"cell\": \"<b><i>11.78, < .001</i></b>\", \"bbox\": [452, 115, 501, 124]}, {\"cell\": \" HHIE benefit\", \"bbox\": [8, 124, 55, 133]}, {\"cell\": \"18.2\", \"bbox\": [112, 124, 129, 133]}, {\"cell\": \"14.2\", \"bbox\": [168, 124, 186, 133]}, {\"cell\": \"12.3\", \"bbox\": [225, 124, 242, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 124, 299, 133]}, {\"cell\": \"5.5\", \"bbox\": [343, 124, 356, 133]}, {\"cell\": \"11.6\", \"bbox\": [395, 124, 412, 133]}, {\"cell\": \"<b><i>12.09, < .001</i></b>\", \"bbox\": [452, 124, 501, 133]}, {\"cell\": \" HASShaf\", \"bbox\": [8, 133, 43, 142]}, {\"cell\": \"3.80\", \"bbox\": [116, 133, 133, 142]}, {\"cell\": \"0.45\", \"bbox\": [173, 133, 190, 142]}, {\"cell\": \"3.48\", \"bbox\": [229, 133, 247, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 133, 303, 142]}, {\"cell\": \"3.42\", \"bbox\": [343, 133, 360, 142]}, {\"cell\": \"0.58\", \"bbox\": [399, 133, 417, 142]}, {\"cell\": \"<b><i>6.92, .001</i></b>\", \"bbox\": [456, 133, 493, 142]}, {\"cell\": \" HASSdisp\", \"bbox\": [8, 142, 47, 151]}, {\"cell\": \"4.56\", \"bbox\": [116, 142, 133, 151]}, {\"cell\": \"0.28\", \"bbox\": [173, 142, 190, 151]}, {\"cell\": \"4.23\", \"bbox\": [229, 142, 247, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 142, 303, 151]}, {\"cell\": \"4.52\", \"bbox\": [343, 142, 360, 151]}, {\"cell\": \"0.43\", \"bbox\": [399, 142, 417, 151]}, {\"cell\": \"<b><i>11.40, < .001</i></b>\", \"bbox\": [452, 142, 501, 151]}, {\"cell\": \" Usage (hours/day)\", \"bbox\": [8, 151, 75, 160]}, {\"cell\": \"7.09\", \"bbox\": [116, 151, 133, 160]}, {\"cell\": \"3.95\", \"bbox\": [173, 151, 190, 160]}, {\"cell\": \"6.12\", \"bbox\": [229, 151, 247, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [286, 151, 303, 160]}, {\"cell\": \"5.99\", \"bbox\": [343, 151, 360, 160]}, {\"cell\": \"3.39\", \"bbox\": [399, 151, 417, 160]}, {\"cell\": \"1.33, .27\", \"bbox\": [456, 151, 489, 160]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5597084_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}711{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Boycott et al. 2005 [[4]]</b></td><td><b>Moheb et al. 2008 [[8]]</b></td><td><b>Turkman et al. 2008 [[6]]</b></td><td><b>Ozcelik et al. 2008 [[5]]</b></td><td><b>Ozcelik et al. 2008 [[5]]</b></td><td><b>Boycott et al. 2009 [[9]]</b></td><td><b>Kolb et al. 2010 [[13]]</b></td><td><b>This report Family 1</b></td><td><b>This report Family 2</b></td></tr></thead><tbody><tr><td colspan=\\\"10\\\"><b>General</b></td></tr><tr><td><b>No. of patients</b></td><td><b>10</b></td><td><b>8</b></td><td>[EMPTY_CELL]</td><td><b>5</b></td><td><b>3</b></td><td><b>1</b></td><td><b>2</b></td><td><b>4</b></td><td><b>1</b></td></tr><tr><td>Ethnicity</td><td>Hutterite</td><td>Iranian</td><td>[EMPTY_CELL]</td><td>Turkish</td><td>Turkish</td><td>Caucasian</td><td>Turkish</td><td>UAE (Omani)</td><td>UAE (Omani)</td></tr><tr><td>Consanguinity</td><td>+</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>+</td><td>-</td><td>+</td><td>+</td><td>+</td></tr><tr><td>VLDLR mutation</td><td>Homozygous deletion of entire gene</td><td>Homozygous c.1342C>T (p.R448X)</td><td>[EMPTY_CELL]</td><td>Homozygous c.769C.T (p.R257X)</td><td>Homozygous c.2339delT (p.I780TfsX3)</td><td>Compound heterozygous c.1561G>C + c.1711-1712dupT (p.D521H + p.Y571LfsX7)</td><td>Homozygous deletion of exons 2, 3, 4 and parts of exons 1 and 5</td><td>Homozygous c.2117G>T (p.C706F)</td><td>Homozygous c.2117G>T (p.C706F)</td></tr><tr><td colspan=\\\"10\\\"><b>Clinical</b></td></tr><tr><td>Mental retardation</td><td>Moderate-Profound</td><td>Moderate-Profound</td><td>[EMPTY_CELL]</td><td>Profound</td><td>Profound</td><td>Developmental Delay</td><td>Developmental delay</td><td>Moderate</td><td>Moderate</td></tr><tr><td>Hypotonia in infancy</td><td>?</td><td>?</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>Ambulation</td><td>Delayed</td><td>-</td><td>[EMPTY_CELL]</td><td>Delayed</td><td>Delayed</td><td>Delayed</td><td>Delayed</td><td>Delayed</td><td>Delayed</td></tr><tr><td>Gait</td><td>Bipedal</td><td>Bipedal</td><td>[EMPTY_CELL]</td><td>Quadrupedal</td><td>Quadrupedal</td><td>Bipedal</td><td>Bipedal</td><td>Bipedal</td><td>Bipedal</td></tr><tr><td>Truncal ataxia</td><td>+</td><td>?</td><td>[EMPTY_CELL]</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>Dysarthric Speech</td><td>+</td><td>?</td><td>[EMPTY_CELL]</td><td>+</td><td>+</td><td>?</td><td>+</td><td>No Speech</td><td>No Speech</td></tr><tr><td>Seizure</td><td>+/-</td><td>-</td><td>[EMPTY_CELL]</td><td>+/-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>Strabismus</td><td>+/-</td><td>+</td><td>[EMPTY_CELL]</td><td>+</td><td>+</td><td>-</td><td>-</td><td>+/-</td><td>+</td></tr><tr><td colspan=\\\"10\\\"><b>Neuroimaging</b></td></tr><tr><td>Absent inferior vermis</td><td>+</td><td>?</td><td>[EMPTY_CELL]</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>Hypoplastic inferior-cerebellum</td><td>+</td><td>?</td><td>[EMPTY_CELL]</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>Simplified cortical gyri</td><td>+</td><td>?</td><td>[EMPTY_CELL]</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Boycott et al. 2005 [[4]]</b>\", \"bbox\": [79, 4, 127, 22]}, {\"cell\": \"<b>Moheb et al. 2008 [[8]]</b>\", \"bbox\": [144, 4, 190, 22]}, {\"cell\": \"<b>Turkman et al. 2008 [[6]]</b>\", \"bbox\": [206, 4, 258, 22]}, {\"cell\": \"<b>Ozcelik et al. 2008 [[5]]</b>\", \"bbox\": [275, 4, 321, 22]}, {\"cell\": \"<b>Ozcelik et al. 2008 [[5]]</b>\", \"bbox\": [337, 4, 384, 22]}, {\"cell\": \"<b>Boycott et al. 2009 [[9]]</b>\", \"bbox\": [400, 4, 448, 22]}, {\"cell\": \"<b>Kolb et al. 2010 [[13]]</b>\", \"bbox\": [473, 4, 510, 22]}, {\"cell\": \"<b>This report Family 1</b>\", \"bbox\": [540, 4, 580, 22]}, {\"cell\": \"<b>This report Family 2</b>\", \"bbox\": [601, 4, 641, 22]}, {\"cell\": \"<b>General</b>\", \"bbox\": [1, 26, 29, 36]}, {\"cell\": \"<b>No. of patients</b>\", \"bbox\": [1, 40, 54, 50]}, {\"cell\": \"<b>10</b>\", \"bbox\": [98, 40, 109, 50]}, {\"cell\": \"<b>8</b>\", \"bbox\": [164, 40, 170, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 40, 235, 50]}, {\"cell\": \"<b>5</b>\", \"bbox\": [295, 40, 301, 50]}, {\"cell\": \"<b>3</b>\", \"bbox\": [357, 40, 364, 50]}, {\"cell\": \"<b>1</b>\", \"bbox\": [425, 40, 431, 50]}, {\"cell\": \"<b>2</b>\", \"bbox\": [495, 40, 501, 50]}, {\"cell\": \"<b>4</b>\", \"bbox\": [559, 40, 566, 50]}, {\"cell\": \"<b>1</b>\", \"bbox\": [620, 40, 626, 50]}, {\"cell\": \"Ethnicity\", \"bbox\": [1, 54, 30, 64]}, {\"cell\": \"Hutterite\", \"bbox\": [79, 54, 109, 64]}, {\"cell\": \"Iranian\", \"bbox\": [144, 54, 167, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 54, 230, 64]}, {\"cell\": \"Turkish\", \"bbox\": [275, 54, 299, 64]}, {\"cell\": \"Turkish\", \"bbox\": [337, 54, 362, 64]}, {\"cell\": \"Caucasian\", \"bbox\": [400, 54, 434, 64]}, {\"cell\": \"Turkish\", \"bbox\": [473, 54, 497, 64]}, {\"cell\": \"UAE (Omani)\", \"bbox\": [540, 54, 583, 64]}, {\"cell\": \"UAE (Omani)\", \"bbox\": [601, 54, 644, 64]}, {\"cell\": \"Consanguinity\", \"bbox\": [1, 68, 48, 78]}, {\"cell\": \"+\", \"bbox\": [79, 68, 86, 78]}, {\"cell\": \"+\", \"bbox\": [144, 68, 151, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 68, 213, 78]}, {\"cell\": \"+\", \"bbox\": [275, 68, 281, 78]}, {\"cell\": \"+\", \"bbox\": [337, 68, 344, 78]}, {\"cell\": \"-\", \"bbox\": [400, 68, 405, 78]}, {\"cell\": \"+\", \"bbox\": [473, 68, 480, 78]}, {\"cell\": \"+\", \"bbox\": [540, 68, 547, 78]}, {\"cell\": \"+\", \"bbox\": [601, 68, 608, 78]}, {\"cell\": \"VLDLR mutation\", \"bbox\": [1, 82, 54, 92]}, {\"cell\": \"Homozygous deletion of entire gene\", \"bbox\": [79, 82, 124, 110]}, {\"cell\": \"Homozygous c.1342C>T (p.R448X)\", \"bbox\": [144, 82, 188, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 82, 250, 110]}, {\"cell\": \"Homozygous c.769C.T (p.R257X)\", \"bbox\": [275, 82, 319, 110]}, {\"cell\": \"Homozygous c.2339delT (p.I780TfsX3)\", \"bbox\": [337, 82, 382, 110]}, {\"cell\": \"Compound heterozygous c.1561G>C + c.1711-1712dupT (p.D521H + p.Y571LfsX7)\", \"bbox\": [400, 82, 456, 137]}, {\"cell\": \"Homozygous deletion of exons 2, 3, 4 and parts of exons 1 and 5\", \"bbox\": [473, 82, 521, 128]}, {\"cell\": \"Homozygous c.2117G>T (p.C706F)\", \"bbox\": [540, 82, 585, 110]}, {\"cell\": \"Homozygous c.2117G>T (p.C706F)\", \"bbox\": [601, 82, 645, 110]}, {\"cell\": \"<b>Clinical</b>\", \"bbox\": [1, 141, 27, 151]}, {\"cell\": \"Mental retardation\", \"bbox\": [1, 155, 37, 174]}, {\"cell\": \"Moderate-Profound\", \"bbox\": [79, 155, 114, 174]}, {\"cell\": \"Moderate-Profound\", \"bbox\": [144, 155, 179, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 155, 241, 174]}, {\"cell\": \"Profound\", \"bbox\": [275, 155, 306, 165]}, {\"cell\": \"Profound\", \"bbox\": [337, 155, 369, 165]}, {\"cell\": \"Developmental Delay\", \"bbox\": [400, 155, 451, 174]}, {\"cell\": \"Developmental delay\", \"bbox\": [473, 155, 524, 174]}, {\"cell\": \"Moderate\", \"bbox\": [540, 155, 573, 165]}, {\"cell\": \"Moderate\", \"bbox\": [601, 155, 634, 165]}, {\"cell\": \"Hypotonia in infancy\", \"bbox\": [1, 178, 44, 197]}, {\"cell\": \"?\", \"bbox\": [79, 178, 84, 188]}, {\"cell\": \"?\", \"bbox\": [144, 178, 149, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 178, 211, 188]}, {\"cell\": \"-\", \"bbox\": [275, 178, 279, 188]}, {\"cell\": \"-\", \"bbox\": [337, 178, 342, 188]}, {\"cell\": \"+\", \"bbox\": [400, 178, 407, 188]}, {\"cell\": \"+\", \"bbox\": [473, 178, 480, 188]}, {\"cell\": \"+\", \"bbox\": [540, 178, 547, 188]}, {\"cell\": \"+\", \"bbox\": [601, 178, 608, 188]}, {\"cell\": \"Ambulation\", \"bbox\": [1, 201, 40, 211]}, {\"cell\": \"Delayed\", \"bbox\": [79, 201, 107, 211]}, {\"cell\": \"-\", \"bbox\": [144, 201, 148, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 201, 234, 211]}, {\"cell\": \"Delayed\", \"bbox\": [275, 201, 303, 211]}, {\"cell\": \"Delayed\", \"bbox\": [337, 201, 365, 211]}, {\"cell\": \"Delayed\", \"bbox\": [400, 201, 428, 211]}, {\"cell\": \"Delayed\", \"bbox\": [473, 201, 501, 211]}, {\"cell\": \"Delayed\", \"bbox\": [540, 201, 568, 211]}, {\"cell\": \"Delayed\", \"bbox\": [601, 201, 629, 211]}, {\"cell\": \"Gait\", \"bbox\": [1, 215, 15, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [79, 215, 105, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [144, 215, 169, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 215, 250, 225]}, {\"cell\": \"Quadrupedal\", \"bbox\": [275, 215, 318, 225]}, {\"cell\": \"Quadrupedal\", \"bbox\": [337, 215, 381, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [400, 215, 426, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [473, 215, 498, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [540, 215, 566, 225]}, {\"cell\": \"Bipedal\", \"bbox\": [601, 215, 626, 225]}, {\"cell\": \"Truncal ataxia\", \"bbox\": [1, 229, 46, 239]}, {\"cell\": \"+\", \"bbox\": [79, 229, 86, 239]}, {\"cell\": \"?\", \"bbox\": [144, 229, 149, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 229, 213, 239]}, {\"cell\": \"+\", \"bbox\": [275, 229, 281, 239]}, {\"cell\": \"+\", \"bbox\": [337, 229, 344, 239]}, {\"cell\": \"+\", \"bbox\": [400, 229, 407, 239]}, {\"cell\": \"+\", \"bbox\": [473, 229, 480, 239]}, {\"cell\": \"+\", \"bbox\": [540, 229, 547, 239]}, {\"cell\": \"+\", \"bbox\": [601, 229, 608, 239]}, {\"cell\": \"Dysarthric Speech\", \"bbox\": [1, 243, 60, 253]}, {\"cell\": \"+\", \"bbox\": [79, 243, 86, 253]}, {\"cell\": \"?\", \"bbox\": [144, 243, 149, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 243, 213, 253]}, {\"cell\": \"+\", \"bbox\": [275, 243, 281, 253]}, {\"cell\": \"+\", \"bbox\": [337, 243, 344, 253]}, {\"cell\": \"?\", \"bbox\": [400, 243, 405, 253]}, {\"cell\": \"+\", \"bbox\": [473, 243, 480, 253]}, {\"cell\": \"No Speech\", \"bbox\": [540, 243, 577, 253]}, {\"cell\": \"No Speech\", \"bbox\": [601, 243, 638, 253]}, {\"cell\": \"Seizure\", \"bbox\": [1, 257, 25, 267]}, {\"cell\": \"+/-\", \"bbox\": [79, 257, 91, 267]}, {\"cell\": \"-\", \"bbox\": [144, 257, 148, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 257, 211, 267]}, {\"cell\": \"+/-\", \"bbox\": [275, 257, 287, 267]}, {\"cell\": \"-\", \"bbox\": [337, 257, 342, 267]}, {\"cell\": \"-\", \"bbox\": [400, 257, 405, 267]}, {\"cell\": \"-\", \"bbox\": [473, 257, 477, 267]}, {\"cell\": \"-\", \"bbox\": [540, 257, 545, 267]}, {\"cell\": \"-\", \"bbox\": [601, 257, 605, 267]}, {\"cell\": \"Strabismus\", \"bbox\": [1, 271, 37, 281]}, {\"cell\": \"+/-\", \"bbox\": [79, 271, 91, 281]}, {\"cell\": \"+\", \"bbox\": [144, 271, 151, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 271, 211, 281]}, {\"cell\": \"+\", \"bbox\": [275, 271, 281, 281]}, {\"cell\": \"+\", \"bbox\": [337, 271, 344, 281]}, {\"cell\": \"-\", \"bbox\": [400, 271, 405, 281]}, {\"cell\": \"-\", \"bbox\": [473, 271, 477, 281]}, {\"cell\": \"+/-\", \"bbox\": [540, 271, 552, 281]}, {\"cell\": \"+\", \"bbox\": [601, 271, 608, 281]}, {\"cell\": \"<b>Neuroimaging</b>\", \"bbox\": [1, 285, 52, 295]}, {\"cell\": \"Absent inferior vermis\", \"bbox\": [1, 299, 50, 318]}, {\"cell\": \"+\", \"bbox\": [79, 299, 86, 309]}, {\"cell\": \"?\", \"bbox\": [144, 299, 149, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 299, 213, 309]}, {\"cell\": \"+\", \"bbox\": [275, 299, 281, 309]}, {\"cell\": \"+\", \"bbox\": [337, 299, 344, 309]}, {\"cell\": \"+\", \"bbox\": [400, 299, 407, 309]}, {\"cell\": \"+\", \"bbox\": [473, 299, 480, 309]}, {\"cell\": \"+\", \"bbox\": [540, 299, 547, 309]}, {\"cell\": \"+\", \"bbox\": [601, 299, 608, 309]}, {\"cell\": \"Hypoplastic inferior-cerebellum\", \"bbox\": [1, 322, 63, 341]}, {\"cell\": \"+\", \"bbox\": [79, 322, 86, 332]}, {\"cell\": \"?\", \"bbox\": [144, 322, 149, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 322, 213, 332]}, {\"cell\": \"+\", \"bbox\": [275, 322, 281, 332]}, {\"cell\": \"+\", \"bbox\": [337, 322, 344, 332]}, {\"cell\": \"+\", \"bbox\": [400, 322, 407, 332]}, {\"cell\": \"+\", \"bbox\": [473, 322, 480, 332]}, {\"cell\": \"+\", \"bbox\": [540, 322, 547, 332]}, {\"cell\": \"+\", \"bbox\": [601, 322, 608, 332]}, {\"cell\": \"Simplified cortical gyri\", \"bbox\": [1, 345, 59, 364]}, {\"cell\": \"+\", \"bbox\": [79, 345, 86, 355]}, {\"cell\": \"?\", \"bbox\": [144, 345, 149, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 345, 213, 355]}, {\"cell\": \"+\", \"bbox\": [275, 345, 281, 355]}, {\"cell\": \"+\", \"bbox\": [337, 345, 344, 355]}, {\"cell\": \"+\", \"bbox\": [400, 345, 407, 355]}, {\"cell\": \"+\", \"bbox\": [473, 345, 480, 355]}, {\"cell\": \"+\", \"bbox\": [540, 345, 547, 355]}, {\"cell\": \"+\", \"bbox\": [601, 345, 608, 355]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3495048_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}712{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Symptom</b></td><td><b>Total group</b></td><td><b>Younger<sup>1</sup></b></td><td><b>Older<sup>2</sup></b></td><td rowspan=\\\"3\\\"><b>p-value<sup>3</sup></b></td></tr><tr><td><b>(N = 228)</b></td><td><b>(n = 82)</b></td><td><b>(n = 146)</b></td></tr><tr><td><b>% (n)</b></td><td><b>% (n)</b></td><td><b>% (n)</b></td></tr></thead><tbody><tr><td>Nausea, gas or indigestion</td><td>67 (153)</td><td>[EMPTY_CELL]</td><td>70 (102)</td><td>0.237</td></tr><tr><td>Headaches</td><td>65 (149)</td><td>[EMPTY_CELL]</td><td>62 (90)</td><td>0.117</td></tr><tr><td>Dizziness</td><td>57 (129)</td><td>[EMPTY_CELL]</td><td>61 (89)</td><td>0.075</td></tr><tr><td>Constipation, loose bowels, or diarrhea</td><td>54 (123)</td><td>[EMPTY_CELL]</td><td>54 (79)</td><td>0.948</td></tr><tr><td>Feeling heart pound or race</td><td>54 (122)</td><td>[EMPTY_CELL]</td><td>56 (82)</td><td>0.283</td></tr><tr><td>Back pain</td><td>51 (116)</td><td>[EMPTY_CELL]</td><td>50 (73)</td><td>0.724</td></tr><tr><td>Chest pain</td><td>47 (106)</td><td>[EMPTY_CELL]</td><td>44 (64)</td><td>0.283</td></tr><tr><td>Pain in arms, legs or joints, knees, hips</td><td>49 (111)</td><td>[EMPTY_CELL]</td><td>58 (84)</td><td>[EMPTY_CELL]</td></tr><tr><td>Stomach pain</td><td>45 (103)</td><td>[EMPTY_CELL]</td><td>44 (69)</td><td>0.558</td></tr><tr><td>Shortness of breath</td><td>23 (52)</td><td>[EMPTY_CELL]</td><td>22 (32)</td><td>0.669</td></tr><tr><td>Pain or problems during sexual intercourse</td><td>14 (31)</td><td>[EMPTY_CELL]</td><td>10 (15)</td><td>0.051</td></tr><tr><td>Fainting spells</td><td>4 (8)</td><td>[EMPTY_CELL]</td><td>3 (4)</td><td>0.400</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Symptom</b>\", \"bbox\": [1, 4, 36, 13]}, {\"cell\": \"<b>Total group</b>\", \"bbox\": [190, 4, 233, 13]}, {\"cell\": \"<b>Younger<sup>1</sup></b>\", \"bbox\": [282, 2, 317, 13]}, {\"cell\": \"<b>Older<sup>2</sup></b>\", \"bbox\": [370, 2, 394, 13]}, {\"cell\": \"<b>p-value<sup>3</sup></b>\", \"bbox\": [450, 2, 481, 13]}, {\"cell\": \"<b>(N = 228)</b>\", \"bbox\": [195, 17, 228, 27]}, {\"cell\": \"<b>(n = 82)</b>\", \"bbox\": [286, 17, 313, 27]}, {\"cell\": \"<b>(n = 146)</b>\", \"bbox\": [366, 17, 398, 27]}, {\"cell\": \"<b>% (n)</b>\", \"bbox\": [201, 30, 221, 40]}, {\"cell\": \"<b>% (n)</b>\", \"bbox\": [289, 30, 310, 40]}, {\"cell\": \"<b>% (n)</b>\", \"bbox\": [372, 30, 392, 40]}, {\"cell\": \"Nausea, gas or indigestion\", \"bbox\": [1, 43, 87, 53]}, {\"cell\": \"67 (153)\", \"bbox\": [198, 43, 225, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 43, 311, 53]}, {\"cell\": \"70 (102)\", \"bbox\": [368, 43, 396, 53]}, {\"cell\": \"0.237\", \"bbox\": [457, 43, 475, 53]}, {\"cell\": \"Headaches\", \"bbox\": [1, 57, 37, 67]}, {\"cell\": \"65 (149)\", \"bbox\": [198, 57, 225, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 57, 311, 67]}, {\"cell\": \"62 (90)\", \"bbox\": [370, 57, 394, 67]}, {\"cell\": \"0.117\", \"bbox\": [457, 57, 475, 67]}, {\"cell\": \"Dizziness\", \"bbox\": [1, 71, 31, 81]}, {\"cell\": \"57 (129)\", \"bbox\": [198, 71, 225, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 71, 311, 81]}, {\"cell\": \"61 (89)\", \"bbox\": [370, 71, 394, 81]}, {\"cell\": \"0.075\", \"bbox\": [457, 71, 475, 81]}, {\"cell\": \"Constipation, loose bowels, or diarrhea\", \"bbox\": [1, 85, 127, 95]}, {\"cell\": \"54 (123)\", \"bbox\": [198, 85, 225, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 85, 311, 95]}, {\"cell\": \"54 (79)\", \"bbox\": [370, 85, 394, 95]}, {\"cell\": \"0.948\", \"bbox\": [457, 85, 475, 95]}, {\"cell\": \"Feeling heart pound or race\", \"bbox\": [1, 99, 93, 109]}, {\"cell\": \"54 (122)\", \"bbox\": [198, 99, 225, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 99, 311, 109]}, {\"cell\": \"56 (82)\", \"bbox\": [370, 99, 394, 109]}, {\"cell\": \"0.283\", \"bbox\": [457, 99, 475, 109]}, {\"cell\": \"Back pain\", \"bbox\": [1, 113, 33, 123]}, {\"cell\": \"51 (116)\", \"bbox\": [198, 113, 225, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 113, 311, 123]}, {\"cell\": \"50 (73)\", \"bbox\": [370, 113, 394, 123]}, {\"cell\": \"0.724\", \"bbox\": [457, 113, 475, 123]}, {\"cell\": \"Chest pain\", \"bbox\": [1, 127, 37, 137]}, {\"cell\": \"47 (106)\", \"bbox\": [198, 127, 225, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 127, 311, 137]}, {\"cell\": \"44 (64)\", \"bbox\": [370, 127, 394, 137]}, {\"cell\": \"0.283\", \"bbox\": [457, 127, 475, 137]}, {\"cell\": \"Pain in arms, legs or joints, knees, hips\", \"bbox\": [1, 141, 126, 151]}, {\"cell\": \"49 (111)\", \"bbox\": [198, 141, 225, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 141, 311, 151]}, {\"cell\": \"58 (84)\", \"bbox\": [370, 141, 394, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [453, 141, 479, 151]}, {\"cell\": \"Stomach pain\", \"bbox\": [1, 155, 47, 165]}, {\"cell\": \"45 (103)\", \"bbox\": [198, 155, 225, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 155, 311, 165]}, {\"cell\": \"44 (69)\", \"bbox\": [370, 155, 394, 165]}, {\"cell\": \"0.558\", \"bbox\": [457, 155, 475, 165]}, {\"cell\": \"Shortness of breath\", \"bbox\": [1, 169, 65, 179]}, {\"cell\": \"23 (52)\", \"bbox\": [199, 169, 223, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 169, 311, 179]}, {\"cell\": \"22 (32)\", \"bbox\": [370, 169, 394, 179]}, {\"cell\": \"0.669\", \"bbox\": [457, 169, 475, 179]}, {\"cell\": \"Pain or problems during sexual intercourse\", \"bbox\": [1, 183, 141, 193]}, {\"cell\": \"14 (31)\", \"bbox\": [199, 183, 223, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [288, 183, 311, 193]}, {\"cell\": \"10 (15)\", \"bbox\": [370, 183, 394, 193]}, {\"cell\": \"0.051\", \"bbox\": [457, 183, 475, 193]}, {\"cell\": \"Fainting spells\", \"bbox\": [1, 197, 48, 207]}, {\"cell\": \"4 (8)\", \"bbox\": [203, 197, 219, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [291, 197, 308, 207]}, {\"cell\": \"3 (4)\", \"bbox\": [374, 197, 390, 207]}, {\"cell\": \"0.400\", \"bbox\": [457, 197, 475, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3999732_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}713{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Insecticide</b></td><td><b>Date</b></td><td><b>Village</b></td><td><b>Total tested</b></td><td><b>No. of replicates</b></td><td colspan=\\\"2\\\"><b> % mortality (95%CI)</b></td><td><b>% blood-fed <i>Anopheles</i></b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Bendiocarb (0.1%)</td><td>May 2011</td><td>Kyamyorwa</td><td>112</td><td>6</td><td>100%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>Nov 2011</td><td>Kyamyorwa</td><td>106</td><td>7</td><td>84%<sup>1</sup></td><td>(76–90)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Kangoma</td><td>54</td><td>3</td><td>70%<sup>3</sup></td><td>[EMPTY_CELL]</td><td>86%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Kikagate</td><td>100</td><td>5</td><td>86%</td><td>[EMPTY_CELL]</td><td>65%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Kiteme</td><td>84</td><td>5</td><td>90%<sup>2</sup></td><td>[EMPTY_CELL]</td><td>96%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Kisumu strain</td><td>61</td><td>4</td><td>97%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>DDT (4%)</td><td>May 2011</td><td>Kyamyorwa</td><td>98</td><td>5</td><td>37%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>[EMPTY_CELL]</td><td>Nov 2011</td><td>Kyamyorwa</td><td>99</td><td>5</td><td>13%<sup>1</sup></td><td>[EMPTY_CELL]</td><td>88%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Rwigembe</td><td>8</td><td>1</td><td>13%</td><td>[EMPTY_CELL]</td><td>36%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Buhuma</td><td>12</td><td>1</td><td>17%</td><td>[EMPTY_CELL]</td><td>58%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Kikagate</td><td>20</td><td>1</td><td>35%</td><td>[EMPTY_CELL]</td><td>55%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Kiteme</td><td>85</td><td>4</td><td>40%<sup>2</sup></td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Kisumu strain</td><td>100</td><td>4</td><td>100%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Deltamethrin (0.05%)</td><td>May 2011</td><td>Kishuro</td><td>20</td><td>1</td><td>70%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>[EMPTY_CELL]</td><td>Kyamyorwa</td><td>106</td><td>5</td><td>28%<sup>3</sup></td><td>(20–38)</td><td>[EMPTY_CELL]</td></tr><tr><td>Permethrin (0.75%)</td><td>Nov 2011</td><td>Kiteme</td><td>98</td><td>5</td><td>11%</td><td>[EMPTY_CELL]</td><td>98%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Insecticide</b>\", \"bbox\": [1, 4, 39, 13]}, {\"cell\": \"<b>Date</b>\", \"bbox\": [82, 4, 100, 13]}, {\"cell\": \"<b>Village</b>\", \"bbox\": [127, 4, 152, 13]}, {\"cell\": \"<b>Total tested</b>\", \"bbox\": [184, 4, 227, 13]}, {\"cell\": \"<b>No. of replicates</b>\", \"bbox\": [240, 4, 298, 13]}, {\"cell\": \"<b> % mortality (95%CI)</b>\", \"bbox\": [315, 4, 386, 13]}, {\"cell\": \"<b>% blood-fed <i>Anopheles</i></b>\", \"bbox\": [403, 4, 484, 13]}, {\"cell\": \"Bendiocarb (0.1%)\", \"bbox\": [1, 17, 60, 27]}, {\"cell\": \"May 2011\", \"bbox\": [82, 17, 115, 27]}, {\"cell\": \"Kyamyorwa\", \"bbox\": [127, 17, 166, 27]}, {\"cell\": \"112\", \"bbox\": [184, 17, 198, 27]}, {\"cell\": \"6\", \"bbox\": [240, 17, 245, 27]}, {\"cell\": \"100%\", \"bbox\": [311, 17, 330, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 17, 381, 27]}, {\"cell\": \"100%\", \"bbox\": [403, 17, 422, 27]}, {\"cell\": \"Nov 2011\", \"bbox\": [82, 31, 114, 41]}, {\"cell\": \"Kyamyorwa\", \"bbox\": [127, 31, 166, 41]}, {\"cell\": \"106\", \"bbox\": [184, 31, 198, 41]}, {\"cell\": \"7\", \"bbox\": [240, 31, 245, 41]}, {\"cell\": \"84%<sup>1</sup>\", \"bbox\": [311, 29, 329, 41]}, {\"cell\": \"(76–90)\", \"bbox\": [352, 31, 377, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [403, 31, 418, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kangoma\", \"bbox\": [127, 45, 159, 55]}, {\"cell\": \"54\", \"bbox\": [184, 45, 194, 55]}, {\"cell\": \"3\", \"bbox\": [240, 45, 245, 55]}, {\"cell\": \"70%<sup>3</sup>\", \"bbox\": [311, 43, 329, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 45, 377, 55]}, {\"cell\": \"86%\", \"bbox\": [403, 45, 418, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kikagate\", \"bbox\": [127, 59, 156, 69]}, {\"cell\": \"100\", \"bbox\": [184, 59, 198, 69]}, {\"cell\": \"5\", \"bbox\": [240, 59, 245, 69]}, {\"cell\": \"86%\", \"bbox\": [311, 59, 326, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 59, 377, 69]}, {\"cell\": \"65%\", \"bbox\": [403, 59, 418, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kiteme\", \"bbox\": [127, 73, 151, 83]}, {\"cell\": \"84\", \"bbox\": [184, 73, 194, 83]}, {\"cell\": \"5\", \"bbox\": [240, 73, 245, 83]}, {\"cell\": \"90%<sup>2</sup>\", \"bbox\": [311, 71, 329, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 73, 377, 83]}, {\"cell\": \"96%\", \"bbox\": [403, 73, 418, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kisumu strain\", \"bbox\": [127, 87, 172, 97]}, {\"cell\": \"61\", \"bbox\": [184, 87, 194, 97]}, {\"cell\": \"4\", \"bbox\": [240, 87, 245, 97]}, {\"cell\": \"97%\", \"bbox\": [311, 87, 326, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 87, 381, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DDT (4%)\", \"bbox\": [1, 101, 33, 111]}, {\"cell\": \"May 2011\", \"bbox\": [82, 101, 115, 111]}, {\"cell\": \"Kyamyorwa\", \"bbox\": [127, 101, 166, 111]}, {\"cell\": \"98\", \"bbox\": [184, 101, 194, 111]}, {\"cell\": \"5\", \"bbox\": [240, 101, 245, 111]}, {\"cell\": \"37%\", \"bbox\": [311, 101, 326, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 101, 377, 111]}, {\"cell\": \"100%\", \"bbox\": [403, 101, 422, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nov 2011\", \"bbox\": [82, 115, 114, 125]}, {\"cell\": \"Kyamyorwa\", \"bbox\": [127, 115, 166, 125]}, {\"cell\": \"99\", \"bbox\": [184, 115, 194, 125]}, {\"cell\": \"5\", \"bbox\": [240, 115, 245, 125]}, {\"cell\": \"13%<sup>1</sup>\", \"bbox\": [311, 113, 329, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 115, 373, 125]}, {\"cell\": \"88%\", \"bbox\": [403, 115, 418, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Rwigembe\", \"bbox\": [127, 129, 163, 139]}, {\"cell\": \"8\", \"bbox\": [184, 129, 190, 139]}, {\"cell\": \"1\", \"bbox\": [240, 129, 245, 139]}, {\"cell\": \"13%\", \"bbox\": [311, 129, 326, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 129, 373, 139]}, {\"cell\": \"36%\", \"bbox\": [403, 129, 418, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Buhuma\", \"bbox\": [127, 143, 156, 153]}, {\"cell\": \"12\", \"bbox\": [184, 143, 194, 153]}, {\"cell\": \"1\", \"bbox\": [240, 143, 245, 153]}, {\"cell\": \"17%\", \"bbox\": [311, 143, 326, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 143, 373, 153]}, {\"cell\": \"58%\", \"bbox\": [403, 143, 418, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kikagate\", \"bbox\": [127, 157, 156, 167]}, {\"cell\": \"20\", \"bbox\": [184, 157, 194, 167]}, {\"cell\": \"1\", \"bbox\": [240, 157, 245, 167]}, {\"cell\": \"35%\", \"bbox\": [311, 157, 326, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 157, 377, 167]}, {\"cell\": \"55%\", \"bbox\": [403, 157, 418, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kiteme\", \"bbox\": [127, 171, 151, 181]}, {\"cell\": \"85\", \"bbox\": [184, 171, 194, 181]}, {\"cell\": \"4\", \"bbox\": [240, 171, 245, 181]}, {\"cell\": \"40%<sup>2</sup>\", \"bbox\": [311, 169, 329, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 171, 377, 181]}, {\"cell\": \"100%\", \"bbox\": [403, 171, 422, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kisumu strain\", \"bbox\": [127, 185, 172, 195]}, {\"cell\": \"100\", \"bbox\": [184, 185, 198, 195]}, {\"cell\": \"4\", \"bbox\": [240, 185, 245, 195]}, {\"cell\": \"100%\", \"bbox\": [311, 185, 330, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 185, 381, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deltamethrin (0.05%)\", \"bbox\": [1, 199, 69, 209]}, {\"cell\": \"May 2011\", \"bbox\": [82, 199, 115, 209]}, {\"cell\": \"Kishuro\", \"bbox\": [127, 199, 152, 209]}, {\"cell\": \"20\", \"bbox\": [184, 199, 194, 209]}, {\"cell\": \"1\", \"bbox\": [240, 199, 245, 209]}, {\"cell\": \"70%\", \"bbox\": [311, 199, 326, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 199, 377, 209]}, {\"cell\": \"100%\", \"bbox\": [403, 199, 422, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Kyamyorwa\", \"bbox\": [127, 213, 166, 223]}, {\"cell\": \"106\", \"bbox\": [184, 213, 198, 223]}, {\"cell\": \"5\", \"bbox\": [240, 213, 245, 223]}, {\"cell\": \"28%<sup>3</sup>\", \"bbox\": [311, 211, 329, 223]}, {\"cell\": \"(20–38)\", \"bbox\": [352, 213, 377, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [403, 213, 422, 223]}, {\"cell\": \"Permethrin (0.75%)\", \"bbox\": [1, 227, 63, 237]}, {\"cell\": \"Nov 2011\", \"bbox\": [82, 227, 114, 237]}, {\"cell\": \"Kiteme\", \"bbox\": [127, 227, 151, 237]}, {\"cell\": \"98\", \"bbox\": [184, 227, 194, 237]}, {\"cell\": \"5\", \"bbox\": [240, 227, 245, 237]}, {\"cell\": \"11%\", \"bbox\": [311, 227, 326, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 227, 373, 237]}, {\"cell\": \"98%\", \"bbox\": [403, 227, 418, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3655935_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}714{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Total (n = 1066)</b></td><td><b>Mental health</b></td><td><b>Physical health</b></td><td><b>Occupational stress</b></td><td><b>Job satisfaction</b></td><td><b>Absenteeism</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>%</b></td><td><b>scale 0–100</b></td><td><b>scale 0–100</b></td><td><b>scale 0–20</b></td><td><b>scale 0–35</b></td><td><b>(days per year)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>74.9(19.3)</td><td>76.0(18.6)</td><td>16.1(2.6)</td><td>27.4(5.8)</td><td>7.2(23.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>68%</td><td>73.7(19.7)</td><td>74.9(19.4)</td><td>16.3(2.6)</td><td>27.8(5.7)</td><td>8.33(24.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>32%</td><td><b>77.7(17.6)*</b></td><td><b>78.3(17.1)*</b></td><td><b>15.8(2.4)*</b></td><td>27.0(5.6)</td><td><b>4.7(17.5)*</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20%</td><td>75.8(18.4)</td><td><b>80.0(15.5)</b><sup><b>T (a,b)</b></sup></td><td>16.4(2.2)</td><td><b>28.3(5.0)</b><sup><b>T (a,c)</b></sup></td><td>6.0(19.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>73%</td><td>75.0(19.2)</td><td>75.8(19.2)</td><td>16.1(2.6)</td><td>27.5(5.7)</td><td>6.5(20.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>7%</td><td>77.8(17.6)</td><td>76.6(17.0)</td><td>15.6(2.8)</td><td>26.2(6.4)</td><td>4.0(10.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>56%</td><td>74.6(19.2)</td><td><b>76.9(19.0)</b><sup><b>T</b></sup></td><td>16.2(2.6)</td><td>27.4(5.9)</td><td>6.9(22.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>44%</td><td>75.6(18.6)</td><td>74.3(18.7)</td><td>16.2(2.4)</td><td>27.7(5.5)</td><td>8.4(25.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>19%</td><td>73.6(19.6)</td><td>77.4(17.4)</td><td>16.28(2.54)</td><td>27.85(5.92)</td><td><b>3.9(11.6)*</b></td></tr><tr><td>[EMPTY_CELL]</td><td>81%</td><td>75.4(18.9)</td><td>75.7(19.0)</td><td>16.14(2.53)</td><td>27.36(5.72)</td><td>8.1(25.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>41%</td><td>76.1(18.4)</td><td>77.0(18.4)</td><td>16.1(2.5)</td><td>27.4(5.6)</td><td><b>2.0(18.3)*</b></td></tr><tr><td>[EMPTY_CELL]</td><td>59%</td><td>74.2(19.7)</td><td>75.3(18.9)</td><td>16.2(2.5)</td><td>27.6(5.8)</td><td>8.7(25.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>74%</td><td>75.0(19.3)</td><td><b>77.2(17.8)</b><sup><b>T</b></sup></td><td>16.3(2.35)</td><td>27.4(5.8)</td><td><b>6.3(20.4)</b><sup><b>T</b></sup></td></tr><tr><td>[EMPTY_CELL]</td><td>26%</td><td>76.0(17.9)</td><td>74.5(20.1)</td><td><b>15.9(2.6)</b><sup><b>T</b></sup></td><td>27.7(5.3)</td><td>9.5(25.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>6.0%</td><td><b>83.5(15.0)**</b></td><td>79.7(20.1)</td><td><b>14.7(3.2)**</b></td><td>28.1(6.7)</td><td>9.0(22.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>94.0%</td><td>74.8(19.0)</td><td>76.2(18.5)</td><td>16.3(2.4)</td><td>27.4(5.7)</td><td>7.2(23.4)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total (n = 1066)</b>\", \"bbox\": [102, 4, 157, 13]}, {\"cell\": \"<b>Mental health</b>\", \"bbox\": [166, 4, 216, 13]}, {\"cell\": \"<b>Physical health</b>\", \"bbox\": [225, 4, 279, 13]}, {\"cell\": \"<b>Occupational stress</b>\", \"bbox\": [288, 4, 357, 13]}, {\"cell\": \"<b>Job satisfaction</b>\", \"bbox\": [366, 4, 422, 13]}, {\"cell\": \"<b>Absenteeism</b>\", \"bbox\": [434, 4, 481, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>%</b>\", \"bbox\": [125, 17, 134, 27]}, {\"cell\": \"<b>scale 0–100</b>\", \"bbox\": [170, 17, 212, 27]}, {\"cell\": \"<b>scale 0–100</b>\", \"bbox\": [231, 17, 273, 27]}, {\"cell\": \"<b>scale 0–20</b>\", \"bbox\": [303, 17, 342, 27]}, {\"cell\": \"<b>scale 0–35</b>\", \"bbox\": [375, 17, 413, 27]}, {\"cell\": \"<b>(days per year)</b>\", \"bbox\": [431, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 38, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"74.9(19.3)\", \"bbox\": [175, 30, 207, 40]}, {\"cell\": \"76.0(18.6)\", \"bbox\": [236, 30, 268, 40]}, {\"cell\": \"16.1(2.6)\", \"bbox\": [309, 30, 336, 40]}, {\"cell\": \"27.4(5.8)\", \"bbox\": [380, 30, 408, 40]}, {\"cell\": \"7.2(23.0)\", \"bbox\": [444, 30, 472, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 28, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [68, 58, 93, 68]}, {\"cell\": \"68%\", \"bbox\": [122, 58, 137, 68]}, {\"cell\": \"73.7(19.7)\", \"bbox\": [175, 58, 207, 68]}, {\"cell\": \"74.9(19.4)\", \"bbox\": [236, 58, 268, 68]}, {\"cell\": \"16.3(2.6)\", \"bbox\": [309, 58, 336, 68]}, {\"cell\": \"27.8(5.7)\", \"bbox\": [380, 58, 408, 68]}, {\"cell\": \"8.33(24.9)\", \"bbox\": [442, 58, 473, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [76, 72, 93, 82]}, {\"cell\": \"32%\", \"bbox\": [122, 72, 137, 82]}, {\"cell\": \"<b>77.7(17.6)*</b>\", \"bbox\": [172, 72, 211, 82]}, {\"cell\": \"<b>78.3(17.1)*</b>\", \"bbox\": [232, 72, 272, 82]}, {\"cell\": \"<b>15.8(2.4)*</b>\", \"bbox\": [305, 72, 340, 82]}, {\"cell\": \"27.0(5.6)\", \"bbox\": [380, 72, 408, 82]}, {\"cell\": \"<b>4.7(17.5)*</b>\", \"bbox\": [440, 72, 475, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 16, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 100, 93, 110]}, {\"cell\": \"20%\", \"bbox\": [122, 100, 137, 110]}, {\"cell\": \"75.8(18.4)\", \"bbox\": [175, 100, 207, 110]}, {\"cell\": \"<b>80.0(15.5)</b><sup><b>T (a,b)</b></sup>\", \"bbox\": [226, 99, 278, 110]}, {\"cell\": \"16.4(2.2)\", \"bbox\": [309, 100, 336, 110]}, {\"cell\": \"<b>28.3(5.0)</b><sup><b>T (a,c)</b></sup>\", \"bbox\": [370, 99, 418, 110]}, {\"cell\": \"6.0(19.7)\", \"bbox\": [444, 100, 472, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 114, 93, 124]}, {\"cell\": \"73%\", \"bbox\": [122, 114, 137, 124]}, {\"cell\": \"75.0(19.2)\", \"bbox\": [175, 114, 207, 124]}, {\"cell\": \"75.8(19.2)\", \"bbox\": [236, 114, 268, 124]}, {\"cell\": \"16.1(2.6)\", \"bbox\": [309, 114, 336, 124]}, {\"cell\": \"27.5(5.7)\", \"bbox\": [380, 114, 408, 124]}, {\"cell\": \"6.5(20.8)\", \"bbox\": [444, 114, 472, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 128, 93, 138]}, {\"cell\": \"7%\", \"bbox\": [124, 128, 135, 138]}, {\"cell\": \"77.8(17.6)\", \"bbox\": [175, 128, 207, 138]}, {\"cell\": \"76.6(17.0)\", \"bbox\": [236, 128, 268, 138]}, {\"cell\": \"15.6(2.8)\", \"bbox\": [309, 128, 336, 138]}, {\"cell\": \"26.2(6.4)\", \"bbox\": [380, 128, 408, 138]}, {\"cell\": \"4.0(10.2)\", \"bbox\": [444, 128, 472, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 16, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 155, 93, 166]}, {\"cell\": \"56%\", \"bbox\": [122, 156, 137, 166]}, {\"cell\": \"74.6(19.2)\", \"bbox\": [175, 156, 207, 166]}, {\"cell\": \"<b>76.9(19.0)</b><sup><b>T</b></sup>\", \"bbox\": [233, 155, 271, 166]}, {\"cell\": \"16.2(2.6)\", \"bbox\": [309, 156, 336, 166]}, {\"cell\": \"27.4(5.9)\", \"bbox\": [380, 156, 408, 166]}, {\"cell\": \"6.9(22.9)\", \"bbox\": [444, 156, 472, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 169, 93, 180]}, {\"cell\": \"44%\", \"bbox\": [122, 170, 137, 180]}, {\"cell\": \"75.6(18.6)\", \"bbox\": [175, 170, 207, 180]}, {\"cell\": \"74.3(18.7)\", \"bbox\": [236, 170, 268, 180]}, {\"cell\": \"16.2(2.4)\", \"bbox\": [309, 170, 336, 180]}, {\"cell\": \"27.7(5.5)\", \"bbox\": [380, 170, 408, 180]}, {\"cell\": \"8.4(25.4)\", \"bbox\": [444, 170, 472, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 85, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 198, 93, 208]}, {\"cell\": \"19%\", \"bbox\": [122, 198, 137, 208]}, {\"cell\": \"73.6(19.6)\", \"bbox\": [175, 198, 207, 208]}, {\"cell\": \"77.4(17.4)\", \"bbox\": [236, 198, 268, 208]}, {\"cell\": \"16.28(2.54)\", \"bbox\": [305, 198, 340, 208]}, {\"cell\": \"27.85(5.92)\", \"bbox\": [376, 198, 412, 208]}, {\"cell\": \"<b>3.9(11.6)*</b>\", \"bbox\": [440, 198, 475, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 212, 93, 222]}, {\"cell\": \"81%\", \"bbox\": [122, 212, 137, 222]}, {\"cell\": \"75.4(18.9)\", \"bbox\": [175, 212, 207, 222]}, {\"cell\": \"75.7(19.0)\", \"bbox\": [236, 212, 268, 222]}, {\"cell\": \"16.14(2.53)\", \"bbox\": [305, 212, 340, 222]}, {\"cell\": \"27.36(5.72)\", \"bbox\": [376, 212, 412, 222]}, {\"cell\": \"8.1(25.0)\", \"bbox\": [444, 212, 472, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 93, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [80, 240, 93, 250]}, {\"cell\": \"41%\", \"bbox\": [122, 240, 137, 250]}, {\"cell\": \"76.1(18.4)\", \"bbox\": [175, 240, 207, 250]}, {\"cell\": \"77.0(18.4)\", \"bbox\": [236, 240, 268, 250]}, {\"cell\": \"16.1(2.5)\", \"bbox\": [309, 240, 336, 250]}, {\"cell\": \"27.4(5.6)\", \"bbox\": [380, 240, 408, 250]}, {\"cell\": \"<b>2.0(18.3)*</b>\", \"bbox\": [440, 240, 475, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [81, 254, 93, 264]}, {\"cell\": \"59%\", \"bbox\": [122, 254, 137, 264]}, {\"cell\": \"74.2(19.7)\", \"bbox\": [175, 254, 207, 264]}, {\"cell\": \"75.3(18.9)\", \"bbox\": [236, 254, 268, 264]}, {\"cell\": \"16.2(2.5)\", \"bbox\": [309, 254, 336, 264]}, {\"cell\": \"27.6(5.8)\", \"bbox\": [380, 254, 408, 264]}, {\"cell\": \"8.7(25.6)\", \"bbox\": [444, 254, 472, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 268, 62, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [30, 282, 93, 292]}, {\"cell\": \"74%\", \"bbox\": [122, 282, 137, 292]}, {\"cell\": \"75.0(19.3)\", \"bbox\": [175, 282, 207, 292]}, {\"cell\": \"<b>77.2(17.8)</b><sup><b>T</b></sup>\", \"bbox\": [233, 281, 271, 292]}, {\"cell\": \"16.3(2.35)\", \"bbox\": [307, 282, 338, 292]}, {\"cell\": \"27.4(5.8)\", \"bbox\": [380, 282, 408, 292]}, {\"cell\": \"<b>6.3(20.4)</b><sup><b>T</b></sup>\", \"bbox\": [440, 281, 475, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [38, 296, 93, 306]}, {\"cell\": \"26%\", \"bbox\": [122, 296, 137, 306]}, {\"cell\": \"76.0(17.9)\", \"bbox\": [175, 296, 207, 306]}, {\"cell\": \"74.5(20.1)\", \"bbox\": [236, 296, 268, 306]}, {\"cell\": \"<b>15.9(2.6)</b><sup><b>T</b></sup>\", \"bbox\": [305, 295, 340, 306]}, {\"cell\": \"27.7(5.3)\", \"bbox\": [380, 296, 408, 306]}, {\"cell\": \"9.5(25.9)\", \"bbox\": [444, 296, 472, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 310, 39, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 324, 93, 334]}, {\"cell\": \"6.0%\", \"bbox\": [121, 324, 138, 334]}, {\"cell\": \"<b>83.5(15.0)**</b>\", \"bbox\": [170, 324, 212, 334]}, {\"cell\": \"79.7(20.1)\", \"bbox\": [236, 324, 268, 334]}, {\"cell\": \"<b>14.7(3.2)**</b>\", \"bbox\": [303, 324, 342, 334]}, {\"cell\": \"28.1(6.7)\", \"bbox\": [380, 324, 408, 334]}, {\"cell\": \"9.0(22.6)\", \"bbox\": [444, 324, 472, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [44, 338, 93, 348]}, {\"cell\": \"94.0%\", \"bbox\": [119, 338, 140, 348]}, {\"cell\": \"74.8(19.0)\", \"bbox\": [175, 338, 207, 348]}, {\"cell\": \"76.2(18.5)\", \"bbox\": [236, 338, 268, 348]}, {\"cell\": \"16.3(2.4)\", \"bbox\": [309, 338, 336, 348]}, {\"cell\": \"27.4(5.7)\", \"bbox\": [380, 338, 408, 348]}, {\"cell\": \"7.2(23.4)\", \"bbox\": [444, 338, 472, 348]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4066273_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}715{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>ECA</b></td><td><b>EMMA</b></td><td><b><i>p-value</i></b></td></tr></thead><tbody><tr><td><b>MUC1* & P16</b></td><td>MUC1+, P16-</td><td>0 (0%)</td><td>10 (100%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>MUC1-, P16+</td><td>8 (100%)</td><td>0 (0%)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>MUC1 & VIM</b></td><td>MUC1+, VIM+</td><td>1 (7.7%)</td><td>9 (69.2%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>MUC1-, VIM-</td><td>12 (92.3%)</td><td>4 (30.8%)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>MUC1 & ER</b></td><td>MUC1+, ER+</td><td>0 (0%)</td><td>13 (100%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>MUC1-, ER-</td><td>9 (100%)</td><td>0 (0%)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>MUC1 & PR</b></td><td>MUC1+, PR+</td><td>0 (0%)</td><td>12 (72.2%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>MUC1-, PR-</td><td>9 (100%)</td><td>0 (27.8%)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>P16 & VIM</b></td><td>P16-, VIM+</td><td>0 (0%)</td><td>7 (77.8%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>P16+, VIM-</td><td>9 (100%)</td><td>2 (22.2%)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>P16 & ER</b></td><td>P16-, ER+</td><td>1 (11.1%)</td><td>14 (93.3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>P16+, ER-</td><td>8 (88.9%)</td><td>1 (6.7%)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>P16 & PR</b></td><td>P16-, PR+</td><td>2 (18.2%)</td><td>13 (92.9%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>P16+, PR-</td><td>9 (81.8%)</td><td>1 (7.1%)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>VIM & ER</b></td><td>VIM+, ER+</td><td>0 (0%)</td><td>9 (90%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>VIM-, ER-</td><td>10 (100%)</td><td>1 (10%)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>VIM & PR</b></td><td>VIM+, PR+</td><td>0 (0%)</td><td>8 (88.9%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>VIM-, PR-</td><td>10 (100%)</td><td>1 (11.1%)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>ER & PR</b></td><td>ER+, PR+</td><td>2 (16.7%)</td><td>15 (100%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>ER-, PR-</td><td>10 (83.3%)</td><td>0 (0%)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>MUC1, ER & PR</b></td><td>MUC1+, ER+, PR+</td><td>0 (0%)</td><td>11 (100%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>MUC1-, ER-, PR-</td><td>8 (100%)</td><td>0 (0%)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ECA</b>\", \"bbox\": [204, 5, 224, 14]}, {\"cell\": \"<b>EMMA</b>\", \"bbox\": [304, 5, 332, 14]}, {\"cell\": \"<b><i>p-value</i></b>\", \"bbox\": [404, 5, 428, 14]}, {\"cell\": \"<b>MUC1* & P16</b>\", \"bbox\": [4, 27, 61, 36]}, {\"cell\": \"MUC1+, P16-\", \"bbox\": [104, 27, 152, 36]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 27, 228, 36]}, {\"cell\": \"10 (100%)\", \"bbox\": [304, 27, 340, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 27, 424, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1-, P16+\", \"bbox\": [104, 37, 153, 47]}, {\"cell\": \"8 (100%)\", \"bbox\": [204, 37, 236, 47]}, {\"cell\": \"0 (0%)\", \"bbox\": [304, 37, 327, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MUC1 & VIM</b>\", \"bbox\": [4, 47, 58, 56]}, {\"cell\": \"MUC1+, VIM+\", \"bbox\": [104, 47, 156, 57]}, {\"cell\": \"1 (7.7%)\", \"bbox\": [204, 47, 233, 57]}, {\"cell\": \"9 (69.2%)\", \"bbox\": [304, 47, 337, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 47, 424, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1-, VIM-\", \"bbox\": [104, 57, 151, 67]}, {\"cell\": \"12 (92.3%)\", \"bbox\": [204, 57, 242, 67]}, {\"cell\": \"4 (30.8%)\", \"bbox\": [304, 57, 337, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MUC1 & ER</b>\", \"bbox\": [4, 68, 53, 77]}, {\"cell\": \"MUC1+, ER+\", \"bbox\": [104, 68, 151, 77]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 68, 227, 77]}, {\"cell\": \"13 (100%)\", \"bbox\": [304, 68, 340, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 68, 424, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1-, ER-\", \"bbox\": [104, 78, 147, 88]}, {\"cell\": \"9 (100%)\", \"bbox\": [204, 78, 236, 88]}, {\"cell\": \"0 (0%)\", \"bbox\": [304, 78, 327, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MUC1 & PR</b>\", \"bbox\": [4, 88, 53, 97]}, {\"cell\": \"MUC1+, PR+\", \"bbox\": [104, 88, 151, 98]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 88, 227, 98]}, {\"cell\": \"12 (72.2%)\", \"bbox\": [304, 88, 341, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 88, 424, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1-, PR-\", \"bbox\": [104, 99, 147, 108]}, {\"cell\": \"9 (100%)\", \"bbox\": [204, 99, 236, 108]}, {\"cell\": \"0 (27.8%)\", \"bbox\": [304, 99, 337, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>P16 & VIM</b>\", \"bbox\": [4, 109, 48, 118]}, {\"cell\": \"P16-, VIM+\", \"bbox\": [104, 109, 144, 118]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 109, 228, 118]}, {\"cell\": \"7 (77.8%)\", \"bbox\": [304, 109, 337, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 109, 424, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P16+, VIM-\", \"bbox\": [104, 119, 144, 129]}, {\"cell\": \"9 (100%)\", \"bbox\": [204, 119, 236, 129]}, {\"cell\": \"2 (22.2%)\", \"bbox\": [304, 119, 337, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>P16 & ER</b>\", \"bbox\": [4, 129, 43, 138]}, {\"cell\": \"P16-, ER+\", \"bbox\": [104, 129, 139, 139]}, {\"cell\": \"1 (11.1%)\", \"bbox\": [204, 129, 238, 139]}, {\"cell\": \"14 (93.3%)\", \"bbox\": [304, 129, 341, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 129, 424, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P16+, ER-\", \"bbox\": [104, 140, 139, 149]}, {\"cell\": \"8 (88.9%)\", \"bbox\": [204, 140, 238, 149]}, {\"cell\": \"1 (6.7%)\", \"bbox\": [304, 140, 333, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>P16 & PR</b>\", \"bbox\": [4, 150, 43, 159]}, {\"cell\": \"P16-, PR+\", \"bbox\": [104, 150, 139, 159]}, {\"cell\": \"2 (18.2%)\", \"bbox\": [204, 150, 238, 159]}, {\"cell\": \"13 (92.9%)\", \"bbox\": [304, 150, 341, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 150, 424, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P16+, PR-\", \"bbox\": [104, 160, 139, 170]}, {\"cell\": \"9 (81.8%)\", \"bbox\": [204, 160, 238, 170]}, {\"cell\": \"1 (7.1%)\", \"bbox\": [304, 160, 333, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>VIM & ER</b>\", \"bbox\": [4, 170, 44, 179]}, {\"cell\": \"VIM+, ER+\", \"bbox\": [104, 170, 143, 180]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 170, 228, 180]}, {\"cell\": \"9 (90%)\", \"bbox\": [304, 170, 331, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 170, 424, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"VIM-, ER-\", \"bbox\": [104, 180, 138, 190]}, {\"cell\": \"10 (100%)\", \"bbox\": [204, 180, 240, 190]}, {\"cell\": \"1 (10%)\", \"bbox\": [304, 180, 331, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>VIM & PR</b>\", \"bbox\": [4, 191, 44, 200]}, {\"cell\": \"VIM+, PR+\", \"bbox\": [104, 191, 143, 200]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 191, 227, 200]}, {\"cell\": \"8 (88.9%)\", \"bbox\": [304, 191, 337, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 191, 424, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"VIM-, PR-\", \"bbox\": [104, 201, 138, 211]}, {\"cell\": \"10 (100%)\", \"bbox\": [204, 201, 240, 211]}, {\"cell\": \"1 (11.1%)\", \"bbox\": [304, 201, 337, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ER & PR</b>\", \"bbox\": [4, 211, 39, 220]}, {\"cell\": \"ER+, PR+\", \"bbox\": [104, 211, 138, 221]}, {\"cell\": \"2 (16.7%)\", \"bbox\": [204, 211, 238, 221]}, {\"cell\": \"15 (100%)\", \"bbox\": [304, 211, 340, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 211, 424, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER-, PR-\", \"bbox\": [104, 222, 134, 231]}, {\"cell\": \"10 (83.3%)\", \"bbox\": [204, 222, 242, 231]}, {\"cell\": \"0 (0%)\", \"bbox\": [304, 222, 327, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MUC1, ER & PR</b>\", \"bbox\": [4, 232, 68, 241]}, {\"cell\": \"MUC1+, ER+, PR+\", \"bbox\": [104, 232, 169, 241]}, {\"cell\": \"0 (0%)\", \"bbox\": [204, 232, 227, 241]}, {\"cell\": \"11 (100%)\", \"bbox\": [304, 232, 340, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [404, 232, 424, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MUC1-, ER-, PR-\", \"bbox\": [104, 242, 163, 252]}, {\"cell\": \"8 (100%)\", \"bbox\": [204, 242, 236, 252]}, {\"cell\": \"0 (0%)\", \"bbox\": [304, 242, 327, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1382242_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}716{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Species</b></td><td colspan=\\\"2\\\"><b>BlastN</b></td><td colspan=\\\"2\\\"><b>TBlastX</b></td></tr><tr><td><b>Hits</b></td><td><b>Average Similarity</b></td><td><b>Hits</b></td><td><b>Average Similarity</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>8</td><td>53.16</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>81.90</td><td>26</td><td>52.81</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>82.63</td><td>10</td><td>55.03</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>11</td><td>51.21</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>7</td><td>47.33</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>5</td><td>50.75</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>16</td><td>51.30</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>81.83</td><td>29</td><td>54.94</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>10</td><td>49.91</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>82.60</td><td>46</td><td>52.86</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>6</td><td>48.76</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>10</td><td>49.17</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>2</td><td>48.99</td></tr><tr><td>[EMPTY_CELL]</td><td>28</td><td>87.48</td><td>55</td><td>65.50</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>90.17</td><td>28</td><td>56.54</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>8</td><td>38.54</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>1</td><td>41.82</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>1</td><td>41.96</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>32</td><td>42.47</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>11</td><td>42.23</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>15</td><td>41.43</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>27</td><td>41.6</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>5</td><td>39.27</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>9</td><td>45.06</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>1</td><td>38.74</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>7</td><td>38.93</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>10</td><td>37.68</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>24</td><td>38.88</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>2</td><td>46.91</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>83</td><td>43.16</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>59</td><td>43.43</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>54</td><td>43.22</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>–</td><td>0</td><td>–</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Species</b>\", \"bbox\": [1, 4, 27, 13]}, {\"cell\": \"<b>BlastN</b>\", \"bbox\": [126, 4, 149, 13]}, {\"cell\": \"<b>TBlastX</b>\", \"bbox\": [195, 4, 222, 13]}, {\"cell\": \"<b>Hits</b>\", \"bbox\": [108, 25, 123, 34]}, {\"cell\": \"<b>Average Similarity</b>\", \"bbox\": [134, 25, 167, 45]}, {\"cell\": \"<b>Hits</b>\", \"bbox\": [179, 25, 194, 34]}, {\"cell\": \"<b>Average Similarity</b>\", \"bbox\": [205, 25, 238, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 49, 58, 58]}, {\"cell\": \"0\", \"bbox\": [114, 49, 120, 57]}, {\"cell\": \"–\", \"bbox\": [145, 49, 151, 57]}, {\"cell\": \"0\", \"bbox\": [185, 49, 191, 57]}, {\"cell\": \"–\", \"bbox\": [216, 49, 222, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 60, 41, 69]}, {\"cell\": \"0\", \"bbox\": [114, 60, 120, 68]}, {\"cell\": \"–\", \"bbox\": [145, 60, 151, 68]}, {\"cell\": \"0\", \"bbox\": [185, 60, 191, 68]}, {\"cell\": \"–\", \"bbox\": [216, 60, 222, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 40, 81]}, {\"cell\": \"0\", \"bbox\": [114, 72, 120, 79]}, {\"cell\": \"–\", \"bbox\": [145, 72, 151, 79]}, {\"cell\": \"0\", \"bbox\": [185, 72, 191, 79]}, {\"cell\": \"–\", \"bbox\": [216, 72, 222, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 83, 37, 92]}, {\"cell\": \"0\", \"bbox\": [114, 83, 120, 90]}, {\"cell\": \"–\", \"bbox\": [145, 83, 151, 90]}, {\"cell\": \"8\", \"bbox\": [185, 83, 191, 90]}, {\"cell\": \"53.16\", \"bbox\": [212, 83, 231, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 94, 33, 103]}, {\"cell\": \"0\", \"bbox\": [114, 94, 120, 102]}, {\"cell\": \"–\", \"bbox\": [145, 94, 151, 102]}, {\"cell\": \"0\", \"bbox\": [185, 94, 191, 102]}, {\"cell\": \"–\", \"bbox\": [216, 94, 222, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 105, 44, 114]}, {\"cell\": \"3\", \"bbox\": [114, 105, 120, 113]}, {\"cell\": \"81.90\", \"bbox\": [141, 105, 160, 113]}, {\"cell\": \"26\", \"bbox\": [181, 105, 191, 113]}, {\"cell\": \"52.81\", \"bbox\": [212, 105, 231, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 116, 43, 126]}, {\"cell\": \"1\", \"bbox\": [114, 117, 120, 124]}, {\"cell\": \"82.63\", \"bbox\": [141, 117, 160, 124]}, {\"cell\": \"10\", \"bbox\": [181, 117, 191, 124]}, {\"cell\": \"55.03\", \"bbox\": [212, 117, 231, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 45, 137]}, {\"cell\": \"0\", \"bbox\": [114, 128, 120, 135]}, {\"cell\": \"–\", \"bbox\": [145, 128, 151, 135]}, {\"cell\": \"11\", \"bbox\": [181, 128, 191, 135]}, {\"cell\": \"51.21\", \"bbox\": [212, 128, 231, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 139, 46, 148]}, {\"cell\": \"0\", \"bbox\": [114, 139, 120, 146]}, {\"cell\": \"–\", \"bbox\": [145, 139, 151, 146]}, {\"cell\": \"7\", \"bbox\": [185, 139, 191, 146]}, {\"cell\": \"47.33\", \"bbox\": [212, 139, 231, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 150, 38, 159]}, {\"cell\": \"0\", \"bbox\": [114, 150, 120, 158]}, {\"cell\": \"–\", \"bbox\": [145, 150, 151, 158]}, {\"cell\": \"5\", \"bbox\": [185, 150, 191, 158]}, {\"cell\": \"50.75\", \"bbox\": [212, 150, 231, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 161, 42, 171]}, {\"cell\": \"0\", \"bbox\": [114, 162, 120, 169]}, {\"cell\": \"–\", \"bbox\": [145, 162, 151, 169]}, {\"cell\": \"16\", \"bbox\": [181, 162, 191, 169]}, {\"cell\": \"51.30\", \"bbox\": [212, 162, 231, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 172, 42, 182]}, {\"cell\": \"2\", \"bbox\": [114, 173, 120, 180]}, {\"cell\": \"81.83\", \"bbox\": [141, 173, 160, 180]}, {\"cell\": \"29\", \"bbox\": [181, 173, 191, 180]}, {\"cell\": \"54.94\", \"bbox\": [212, 173, 231, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 47, 193]}, {\"cell\": \"0\", \"bbox\": [114, 184, 120, 191]}, {\"cell\": \"–\", \"bbox\": [145, 184, 151, 191]}, {\"cell\": \"10\", \"bbox\": [181, 184, 191, 191]}, {\"cell\": \"49.91\", \"bbox\": [212, 184, 231, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 195, 49, 204]}, {\"cell\": \"1\", \"bbox\": [114, 195, 120, 203]}, {\"cell\": \"82.60\", \"bbox\": [141, 195, 160, 203]}, {\"cell\": \"46\", \"bbox\": [181, 195, 191, 203]}, {\"cell\": \"52.86\", \"bbox\": [212, 195, 231, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 206, 63, 215]}, {\"cell\": \"0\", \"bbox\": [114, 207, 120, 214]}, {\"cell\": \"–\", \"bbox\": [145, 207, 151, 214]}, {\"cell\": \"6\", \"bbox\": [185, 207, 191, 214]}, {\"cell\": \"48.76\", \"bbox\": [212, 207, 231, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 217, 43, 227]}, {\"cell\": \"0\", \"bbox\": [114, 218, 120, 225]}, {\"cell\": \"–\", \"bbox\": [145, 218, 151, 225]}, {\"cell\": \"10\", \"bbox\": [181, 218, 191, 225]}, {\"cell\": \"49.17\", \"bbox\": [212, 218, 231, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 229, 40, 238]}, {\"cell\": \"0\", \"bbox\": [114, 229, 120, 236]}, {\"cell\": \"–\", \"bbox\": [145, 229, 151, 236]}, {\"cell\": \"2\", \"bbox\": [185, 229, 191, 236]}, {\"cell\": \"48.99\", \"bbox\": [212, 229, 231, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 43, 249]}, {\"cell\": \"28\", \"bbox\": [110, 240, 120, 248]}, {\"cell\": \"87.48\", \"bbox\": [141, 240, 160, 248]}, {\"cell\": \"55\", \"bbox\": [181, 240, 191, 248]}, {\"cell\": \"65.50\", \"bbox\": [212, 240, 231, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 251, 49, 260]}, {\"cell\": \"3\", \"bbox\": [114, 251, 120, 259]}, {\"cell\": \"90.17\", \"bbox\": [141, 251, 160, 259]}, {\"cell\": \"28\", \"bbox\": [181, 251, 191, 259]}, {\"cell\": \"56.54\", \"bbox\": [212, 251, 231, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 262, 30, 272]}, {\"cell\": \"0\", \"bbox\": [114, 263, 120, 270]}, {\"cell\": \"–\", \"bbox\": [145, 263, 151, 270]}, {\"cell\": \"0\", \"bbox\": [185, 263, 191, 270]}, {\"cell\": \"–\", \"bbox\": [216, 263, 222, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 274, 47, 283]}, {\"cell\": \"0\", \"bbox\": [114, 274, 120, 281]}, {\"cell\": \"–\", \"bbox\": [145, 274, 151, 281]}, {\"cell\": \"0\", \"bbox\": [185, 274, 191, 281]}, {\"cell\": \"–\", \"bbox\": [216, 274, 222, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 285, 80, 294]}, {\"cell\": \"0\", \"bbox\": [114, 285, 120, 293]}, {\"cell\": \"–\", \"bbox\": [145, 285, 151, 293]}, {\"cell\": \"0\", \"bbox\": [185, 285, 191, 293]}, {\"cell\": \"–\", \"bbox\": [216, 285, 222, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 296, 38, 305]}, {\"cell\": \"0\", \"bbox\": [114, 296, 120, 304]}, {\"cell\": \"–\", \"bbox\": [145, 296, 151, 304]}, {\"cell\": \"8\", \"bbox\": [185, 296, 191, 304]}, {\"cell\": \"38.54\", \"bbox\": [212, 296, 231, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 307, 46, 317]}, {\"cell\": \"0\", \"bbox\": [114, 308, 120, 315]}, {\"cell\": \"–\", \"bbox\": [145, 308, 151, 315]}, {\"cell\": \"1\", \"bbox\": [185, 308, 191, 315]}, {\"cell\": \"41.82\", \"bbox\": [212, 308, 231, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 319, 73, 328]}, {\"cell\": \"0\", \"bbox\": [114, 319, 120, 326]}, {\"cell\": \"–\", \"bbox\": [145, 319, 151, 326]}, {\"cell\": \"0\", \"bbox\": [185, 319, 191, 326]}, {\"cell\": \"–\", \"bbox\": [216, 319, 222, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 330, 27, 339]}, {\"cell\": \"0\", \"bbox\": [114, 330, 120, 338]}, {\"cell\": \"–\", \"bbox\": [145, 330, 151, 338]}, {\"cell\": \"0\", \"bbox\": [185, 330, 191, 338]}, {\"cell\": \"–\", \"bbox\": [216, 330, 222, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 341, 62, 350]}, {\"cell\": \"0\", \"bbox\": [114, 341, 120, 349]}, {\"cell\": \"–\", \"bbox\": [145, 341, 151, 349]}, {\"cell\": \"1\", \"bbox\": [185, 341, 191, 349]}, {\"cell\": \"41.96\", \"bbox\": [212, 341, 231, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 47, 362]}, {\"cell\": \"0\", \"bbox\": [114, 353, 120, 360]}, {\"cell\": \"–\", \"bbox\": [145, 353, 151, 360]}, {\"cell\": \"32\", \"bbox\": [181, 353, 191, 360]}, {\"cell\": \"42.47\", \"bbox\": [212, 353, 231, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 363, 36, 373]}, {\"cell\": \"0\", \"bbox\": [114, 364, 120, 371]}, {\"cell\": \"–\", \"bbox\": [145, 364, 151, 371]}, {\"cell\": \"11\", \"bbox\": [181, 364, 191, 371]}, {\"cell\": \"42.23\", \"bbox\": [212, 364, 231, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 375, 49, 384]}, {\"cell\": \"0\", \"bbox\": [114, 375, 120, 382]}, {\"cell\": \"–\", \"bbox\": [145, 375, 151, 382]}, {\"cell\": \"15\", \"bbox\": [181, 375, 191, 382]}, {\"cell\": \"41.43\", \"bbox\": [212, 375, 231, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 386, 47, 395]}, {\"cell\": \"0\", \"bbox\": [114, 386, 120, 394]}, {\"cell\": \"–\", \"bbox\": [145, 386, 151, 394]}, {\"cell\": \"27\", \"bbox\": [181, 386, 191, 394]}, {\"cell\": \"41.6\", \"bbox\": [212, 386, 227, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 397, 49, 407]}, {\"cell\": \"0\", \"bbox\": [114, 398, 120, 405]}, {\"cell\": \"–\", \"bbox\": [145, 398, 151, 405]}, {\"cell\": \"0\", \"bbox\": [185, 398, 191, 405]}, {\"cell\": \"–\", \"bbox\": [216, 398, 222, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 408, 40, 418]}, {\"cell\": \"0\", \"bbox\": [114, 409, 120, 416]}, {\"cell\": \"–\", \"bbox\": [145, 409, 151, 416]}, {\"cell\": \"0\", \"bbox\": [185, 409, 191, 416]}, {\"cell\": \"–\", \"bbox\": [216, 409, 222, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 420, 65, 429]}, {\"cell\": \"0\", \"bbox\": [114, 420, 120, 427]}, {\"cell\": \"–\", \"bbox\": [145, 420, 151, 427]}, {\"cell\": \"0\", \"bbox\": [185, 420, 191, 427]}, {\"cell\": \"–\", \"bbox\": [216, 420, 222, 427]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 431, 62, 440]}, {\"cell\": \"0\", \"bbox\": [114, 431, 120, 439]}, {\"cell\": \"–\", \"bbox\": [145, 431, 151, 439]}, {\"cell\": \"0\", \"bbox\": [185, 431, 191, 439]}, {\"cell\": \"–\", \"bbox\": [216, 431, 222, 439]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 442, 73, 451]}, {\"cell\": \"0\", \"bbox\": [114, 442, 120, 450]}, {\"cell\": \"–\", \"bbox\": [145, 442, 151, 450]}, {\"cell\": \"5\", \"bbox\": [185, 442, 191, 450]}, {\"cell\": \"39.27\", \"bbox\": [212, 442, 231, 450]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 453, 81, 463]}, {\"cell\": \"0\", \"bbox\": [114, 454, 120, 461]}, {\"cell\": \"–\", \"bbox\": [145, 454, 151, 461]}, {\"cell\": \"9\", \"bbox\": [185, 454, 191, 461]}, {\"cell\": \"45.06\", \"bbox\": [212, 454, 231, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 465, 55, 474]}, {\"cell\": \"0\", \"bbox\": [114, 465, 120, 472]}, {\"cell\": \"–\", \"bbox\": [145, 465, 151, 472]}, {\"cell\": \"1\", \"bbox\": [185, 465, 191, 472]}, {\"cell\": \"38.74\", \"bbox\": [212, 465, 231, 472]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 476, 45, 485]}, {\"cell\": \"0\", \"bbox\": [114, 476, 120, 484]}, {\"cell\": \"–\", \"bbox\": [145, 476, 151, 484]}, {\"cell\": \"7\", \"bbox\": [185, 476, 191, 484]}, {\"cell\": \"38.93\", \"bbox\": [212, 476, 231, 484]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 487, 78, 496]}, {\"cell\": \"0\", \"bbox\": [114, 487, 120, 495]}, {\"cell\": \"–\", \"bbox\": [145, 487, 151, 495]}, {\"cell\": \"10\", \"bbox\": [181, 487, 191, 495]}, {\"cell\": \"37.68\", \"bbox\": [212, 487, 231, 495]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 498, 69, 508]}, {\"cell\": \"0\", \"bbox\": [114, 499, 120, 506]}, {\"cell\": \"–\", \"bbox\": [145, 499, 151, 506]}, {\"cell\": \"24\", \"bbox\": [181, 499, 191, 506]}, {\"cell\": \"38.88\", \"bbox\": [212, 499, 231, 506]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 510, 88, 519]}, {\"cell\": \"0\", \"bbox\": [114, 510, 120, 517]}, {\"cell\": \"–\", \"bbox\": [145, 510, 151, 517]}, {\"cell\": \"2\", \"bbox\": [185, 510, 191, 517]}, {\"cell\": \"46.91\", \"bbox\": [212, 510, 231, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 521, 62, 530]}, {\"cell\": \"0\", \"bbox\": [114, 521, 120, 529]}, {\"cell\": \"–\", \"bbox\": [145, 521, 151, 529]}, {\"cell\": \"83\", \"bbox\": [181, 521, 191, 529]}, {\"cell\": \"43.16\", \"bbox\": [212, 521, 231, 529]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 532, 33, 541]}, {\"cell\": \"0\", \"bbox\": [114, 532, 120, 540]}, {\"cell\": \"–\", \"bbox\": [145, 532, 151, 540]}, {\"cell\": \"59\", \"bbox\": [181, 532, 191, 540]}, {\"cell\": \"43.43\", \"bbox\": [212, 532, 231, 540]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 543, 38, 553]}, {\"cell\": \"0\", \"bbox\": [114, 544, 120, 551]}, {\"cell\": \"–\", \"bbox\": [145, 544, 151, 551]}, {\"cell\": \"0\", \"bbox\": [185, 544, 191, 551]}, {\"cell\": \"–\", \"bbox\": [216, 544, 222, 551]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 555, 96, 564]}, {\"cell\": \"0\", \"bbox\": [114, 555, 120, 562]}, {\"cell\": \"–\", \"bbox\": [145, 555, 151, 562]}, {\"cell\": \"0\", \"bbox\": [185, 555, 191, 562]}, {\"cell\": \"–\", \"bbox\": [216, 555, 222, 562]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 566, 59, 575]}, {\"cell\": \"0\", \"bbox\": [114, 566, 120, 574]}, {\"cell\": \"–\", \"bbox\": [145, 566, 151, 574]}, {\"cell\": \"54\", \"bbox\": [181, 566, 191, 574]}, {\"cell\": \"43.22\", \"bbox\": [212, 566, 231, 574]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 577, 83, 586]}, {\"cell\": \"0\", \"bbox\": [114, 577, 120, 585]}, {\"cell\": \"–\", \"bbox\": [145, 577, 151, 585]}, {\"cell\": \"0\", \"bbox\": [185, 577, 191, 585]}, {\"cell\": \"–\", \"bbox\": [216, 577, 222, 585]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3942097_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}717{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Football players<i>N</i> = 30</b></td></tr></thead><tbody><tr><td><i>Demographic information</i></td><td>[EMPTY_CELL]</td></tr><tr><td>Age (year), mean (SD)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender (male/female)</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Clinical characteristics</i></td><td>[EMPTY_CELL]</td></tr><tr><td><i>POMS</i>, mean (SD)</td><td>[EMPTY_CELL]</td></tr><tr><td>Tension</td><td>[EMPTY_CELL]</td></tr><tr><td>Depression</td><td>[EMPTY_CELL]</td></tr><tr><td>Anger</td><td>[EMPTY_CELL]</td></tr><tr><td>Fatigue</td><td>[EMPTY_CELL]</td></tr><tr><td>Confusion</td><td>[EMPTY_CELL]</td></tr><tr><td>Vigor</td><td>[EMPTY_CELL]</td></tr><tr><td>TMD</td><td>[EMPTY_CELL]</td></tr><tr><td><i>ImPACT PCSS</i>, mean (SD)<sup>¶</sup></td><td>[EMPTY_CELL]</td></tr><tr><td><i>Brain volume (mm3)</i>, mean (SD)</td><td>[EMPTY_CELL]</td></tr><tr><td>Left amygdala</td><td>[EMPTY_CELL]</td></tr><tr><td>Right amygdala</td><td>[EMPTY_CELL]</td></tr><tr><td>eTIV (cm<sup>3</sup>)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Football players<i>N</i> = 30</b>\", \"bbox\": [180, 4, 239, 27]}, {\"cell\": \"<i>Demographic information</i>\", \"bbox\": [2, 28, 96, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (year), mean (SD)\", \"bbox\": [2, 41, 85, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 41, 231, 52]}, {\"cell\": \"Gender (male/female)\", \"bbox\": [2, 54, 84, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 54, 219, 65]}, {\"cell\": \"<i>Clinical characteristics</i>\", \"bbox\": [2, 68, 83, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>POMS</i>, mean (SD)\", \"bbox\": [2, 81, 71, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tension\", \"bbox\": [2, 95, 33, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 95, 230, 105]}, {\"cell\": \"Depression\", \"bbox\": [2, 108, 45, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 108, 229, 119]}, {\"cell\": \"Anger\", \"bbox\": [2, 121, 27, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 121, 229, 132]}, {\"cell\": \"Fatigue\", \"bbox\": [2, 134, 31, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 134, 230, 145]}, {\"cell\": \"Confusion\", \"bbox\": [2, 148, 42, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 148, 229, 158]}, {\"cell\": \"Vigor\", \"bbox\": [2, 161, 25, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 161, 230, 172]}, {\"cell\": \"TMD\", \"bbox\": [2, 174, 25, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [187, 174, 233, 185]}, {\"cell\": \"<i>ImPACT PCSS</i>, mean (SD)<sup>¶</sup>\", \"bbox\": [2, 186, 102, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 188, 229, 199]}, {\"cell\": \"<i>Brain volume (mm3)</i>, mean (SD)\", \"bbox\": [2, 201, 121, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Left amygdala\", \"bbox\": [2, 215, 55, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 215, 237, 225]}, {\"cell\": \"Right amygdala\", \"bbox\": [2, 228, 60, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [181, 228, 238, 239]}, {\"cell\": \"eTIV (cm<sup>3</sup>)\", \"bbox\": [2, 237, 46, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [179, 241, 240, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5822786_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}718{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Characteristic No. (%)</b></td><td colspan=\\\"3\\\"><b>All patients<i>N</i> = 930</b></td><td colspan=\\\"3\\\"><b>DM<i>N</i> = 130</b></td></tr><tr><td><b>2009-10<i>N</i> = 539</b></td><td><b>2013-14<i>N</i> = 391</b></td><td><b><i>p</i>-value</b></td><td><b>2009-10 <i>N</i> = 64</b></td><td><b>2013-14 <i>N</i> = 66</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>Age (years, mean ± SD)</td><td>43 ± 21</td><td>45 ± 21</td><td>0.11</td><td>60 ± 18</td><td>63 ± 13</td><td>[EMPTY_CELL]</td></tr><tr><td>Male</td><td>309 (57)</td><td>216 (55)</td><td>0.55</td><td>35 (55)</td><td>43 (65)</td><td>[EMPTY_CELL]</td></tr><tr><td>HIV positive</td><td>19 (4)</td><td>20 (5)</td><td>0.32</td><td>0</td><td>1 (2)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">Diseases site</td></tr><tr><td> Pulmonary only</td><td>359 (67)</td><td>269 (69)</td><td>0.19</td><td>53 (83)</td><td>54 (82)</td><td>[EMPTY_CELL]</td></tr><tr><td> Extra-Pulmonary only</td><td>100 (19)</td><td>87 (22)</td><td>0.67</td><td>11 (17)</td><td>12 (18)</td><td>[EMPTY_CELL]</td></tr><tr><td> Both</td><td>80 (15)</td><td>35 (9)</td><td>0.03</td><td>5 (17)</td><td>7 (11)</td><td>[EMPTY_CELL]</td></tr><tr><td>Sputum culture positive</td><td>287 (53)</td><td>214 (55)</td><td>0.43</td><td>36 (56)</td><td>40 (61)</td><td>[EMPTY_CELL]</td></tr><tr><td>Sputum smear positive</td><td>215 (40)</td><td>161 (41)</td><td>0.15</td><td>33 (52)</td><td>32 (49)</td><td>[EMPTY_CELL]</td></tr><tr><td>Cavitary lesion</td><td>181 (34)</td><td>131 (34)</td><td>0.89</td><td>27 (42)</td><td>29 (44)</td><td>[EMPTY_CELL]</td></tr><tr><td>INH Resistant</td><td>43 (10)</td><td>26 (9)</td><td>0.99</td><td>2 (4)</td><td>4 (8)</td><td>[EMPTY_CELL]</td></tr><tr><td>RIF Resistant</td><td>3 (1)</td><td>6 (2)</td><td>0.70</td><td>0</td><td>1 (2)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic No. (%)</b>\", \"bbox\": [1, 4, 45, 22]}, {\"cell\": \"<b>All patients<i>N</i> = 930</b>\", \"bbox\": [120, 4, 157, 22]}, {\"cell\": \"<b>DM<i>N</i> = 130</b>\", \"bbox\": [324, 4, 350, 22]}, {\"cell\": \"<b>2009-10<i>N</i> = 539</b>\", \"bbox\": [120, 26, 147, 45]}, {\"cell\": \"<b>2013-14<i>N</i> = 391</b>\", \"bbox\": [189, 26, 216, 45]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [258, 26, 283, 36]}, {\"cell\": \"<b>2009-10 <i>N</i> = 64</b>\", \"bbox\": [324, 26, 351, 45]}, {\"cell\": \"<b>2013-14 <i>N</i> = 66</b>\", \"bbox\": [392, 26, 419, 45]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [459, 26, 484, 36]}, {\"cell\": \"Age (years, mean ± SD)\", \"bbox\": [1, 48, 77, 58]}, {\"cell\": \"43 ± 21\", \"bbox\": [120, 48, 145, 58]}, {\"cell\": \"45 ± 21\", \"bbox\": [189, 48, 214, 58]}, {\"cell\": \"0.11\", \"bbox\": [258, 48, 273, 58]}, {\"cell\": \"60 ± 18\", \"bbox\": [324, 48, 349, 58]}, {\"cell\": \"63 ± 13\", \"bbox\": [392, 48, 417, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 48, 474, 58]}, {\"cell\": \"Male\", \"bbox\": [1, 62, 18, 72]}, {\"cell\": \"309 (57)\", \"bbox\": [120, 62, 147, 72]}, {\"cell\": \"216 (55)\", \"bbox\": [189, 62, 217, 72]}, {\"cell\": \"0.55\", \"bbox\": [258, 62, 273, 72]}, {\"cell\": \"35 (55)\", \"bbox\": [324, 62, 348, 72]}, {\"cell\": \"43 (65)\", \"bbox\": [392, 62, 415, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 62, 474, 72]}, {\"cell\": \"HIV positive\", \"bbox\": [1, 76, 40, 86]}, {\"cell\": \"19 (4)\", \"bbox\": [120, 76, 140, 86]}, {\"cell\": \"20 (5)\", \"bbox\": [189, 76, 209, 86]}, {\"cell\": \"0.32\", \"bbox\": [258, 76, 273, 86]}, {\"cell\": \"0\", \"bbox\": [324, 76, 330, 86]}, {\"cell\": \"1 (2)\", \"bbox\": [392, 76, 408, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 76, 474, 86]}, {\"cell\": \"Diseases site\", \"bbox\": [1, 90, 42, 100]}, {\"cell\": \" Pulmonary only\", \"bbox\": [8, 104, 61, 114]}, {\"cell\": \"359 (67)\", \"bbox\": [120, 104, 147, 114]}, {\"cell\": \"269 (69)\", \"bbox\": [189, 104, 217, 114]}, {\"cell\": \"0.19\", \"bbox\": [258, 104, 273, 114]}, {\"cell\": \"53 (83)\", \"bbox\": [324, 104, 348, 114]}, {\"cell\": \"54 (82)\", \"bbox\": [392, 104, 415, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 104, 474, 114]}, {\"cell\": \" Extra-Pulmonary only\", \"bbox\": [8, 118, 78, 128]}, {\"cell\": \"100 (19)\", \"bbox\": [120, 118, 147, 128]}, {\"cell\": \"87 (22)\", \"bbox\": [189, 118, 213, 128]}, {\"cell\": \"0.67\", \"bbox\": [258, 118, 273, 128]}, {\"cell\": \"11 (17)\", \"bbox\": [324, 118, 348, 128]}, {\"cell\": \"12 (18)\", \"bbox\": [392, 118, 415, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 118, 474, 128]}, {\"cell\": \" Both\", \"bbox\": [8, 132, 25, 142]}, {\"cell\": \"80 (15)\", \"bbox\": [120, 132, 143, 142]}, {\"cell\": \"35 (9)\", \"bbox\": [189, 132, 209, 142]}, {\"cell\": \"0.03\", \"bbox\": [258, 132, 273, 142]}, {\"cell\": \"5 (17)\", \"bbox\": [324, 132, 344, 142]}, {\"cell\": \"7 (11)\", \"bbox\": [392, 132, 412, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 132, 474, 142]}, {\"cell\": \"Sputum culture positive\", \"bbox\": [1, 146, 79, 156]}, {\"cell\": \"287 (53)\", \"bbox\": [120, 146, 147, 156]}, {\"cell\": \"214 (55)\", \"bbox\": [189, 146, 217, 156]}, {\"cell\": \"0.43\", \"bbox\": [258, 146, 273, 156]}, {\"cell\": \"36 (56)\", \"bbox\": [324, 146, 348, 156]}, {\"cell\": \"40 (61)\", \"bbox\": [392, 146, 415, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 146, 474, 156]}, {\"cell\": \"Sputum smear positive\", \"bbox\": [1, 160, 76, 170]}, {\"cell\": \"215 (40)\", \"bbox\": [120, 160, 147, 170]}, {\"cell\": \"161 (41)\", \"bbox\": [189, 160, 217, 170]}, {\"cell\": \"0.15\", \"bbox\": [258, 160, 273, 170]}, {\"cell\": \"33 (52)\", \"bbox\": [324, 160, 348, 170]}, {\"cell\": \"32 (49)\", \"bbox\": [392, 160, 415, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 160, 474, 170]}, {\"cell\": \"Cavitary lesion\", \"bbox\": [1, 174, 49, 184]}, {\"cell\": \"181 (34)\", \"bbox\": [120, 174, 147, 184]}, {\"cell\": \"131 (34)\", \"bbox\": [189, 174, 217, 184]}, {\"cell\": \"0.89\", \"bbox\": [258, 174, 273, 184]}, {\"cell\": \"27 (42)\", \"bbox\": [324, 174, 348, 184]}, {\"cell\": \"29 (44)\", \"bbox\": [392, 174, 415, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 174, 474, 184]}, {\"cell\": \"INH Resistant\", \"bbox\": [1, 188, 45, 198]}, {\"cell\": \"43 (10)\", \"bbox\": [120, 188, 143, 198]}, {\"cell\": \"26 (9)\", \"bbox\": [189, 188, 209, 198]}, {\"cell\": \"0.99\", \"bbox\": [258, 188, 273, 198]}, {\"cell\": \"2 (4)\", \"bbox\": [324, 188, 340, 198]}, {\"cell\": \"4 (8)\", \"bbox\": [392, 188, 408, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 188, 474, 198]}, {\"cell\": \"RIF Resistant\", \"bbox\": [1, 202, 42, 212]}, {\"cell\": \"3 (1)\", \"bbox\": [120, 202, 136, 212]}, {\"cell\": \"6 (2)\", \"bbox\": [189, 202, 205, 212]}, {\"cell\": \"0.70\", \"bbox\": [258, 202, 273, 212]}, {\"cell\": \"0\", \"bbox\": [324, 202, 330, 212]}, {\"cell\": \"1 (2)\", \"bbox\": [392, 202, 408, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [459, 202, 474, 212]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5294910_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}719{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>HIV status: concordant</b></td><td colspan=\\\"2\\\"><b>HIV status: discordant</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>All</b></td><td><b>F neg/M neg</b></td><td><b>F pos/M pos</b></td><td><b>F pos/M neg</b></td><td><b>F neg/M pos</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>N</i> = 196</b></td><td><b><i>n</i> = 80</b></td><td><b><i>n</i> = 49</b></td><td><b><i>n</i> = 39</b></td><td><b><i>n</i> = 27</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">Condom use with the main sexual partner (last 6 months) (%, 95% CI)<sup>*</sup></td></tr><tr><td> Never</td><td>55.1%(44.7–65.1)</td><td>61.2%(44.9–75.4)</td><td>53.8%(32.3–74.0)</td><td>33.7%(16.9–56.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Sometimes</td><td>14.9%(9.3–23.1)</td><td>8.9%(3.9–19.1)</td><td>22.5%(10.8–40.8)</td><td>25.6%(9.3–53.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Always</td><td>30.0%(20.9–41.0)</td><td>29.9%(16.8–47.3)</td><td>23.7%(8.0–52.5)</td><td>40.7%(20.4–64.8)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\">Contraception used with main sexual partner (last 6 months) (%, 95% CI)<sup>**</sup></td></tr><tr><td> Highly effective</td><td>4.8%(2.3–9.7)</td><td>7.2%(2.7–17.8)</td><td>2.2%(0.5–8.9)</td><td>4.5%(1.2–15.7)</td><td>[EMPTY_CELL]</td></tr><tr><td> Less effective</td><td>95.2% (90.3–97.7)</td><td>92.8%(82.2–97.3)</td><td>97.8%(91.1–99.5)</td><td>95.5%(84.3–98.8)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>HIV status: concordant</b>\", \"bbox\": [195, 4, 268, 13]}, {\"cell\": \"<b>HIV status: discordant</b>\", \"bbox\": [359, 4, 430, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All</b>\", \"bbox\": [99, 17, 109, 27]}, {\"cell\": \"<b>F neg/M neg</b>\", \"bbox\": [195, 17, 239, 27]}, {\"cell\": \"<b>F pos/M pos</b>\", \"bbox\": [278, 17, 320, 27]}, {\"cell\": \"<b>F pos/M neg</b>\", \"bbox\": [359, 17, 402, 27]}, {\"cell\": \"<b>F neg/M pos</b>\", \"bbox\": [441, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>N</i> = 196</b>\", \"bbox\": [99, 30, 125, 40]}, {\"cell\": \"<b><i>n</i> = 80</b>\", \"bbox\": [195, 30, 216, 40]}, {\"cell\": \"<b><i>n</i> = 49</b>\", \"bbox\": [278, 30, 299, 40]}, {\"cell\": \"<b><i>n</i> = 39</b>\", \"bbox\": [359, 30, 381, 40]}, {\"cell\": \"<b><i>n</i> = 27</b>\", \"bbox\": [441, 30, 463, 40]}, {\"cell\": \"Condom use with the main sexual partner (last 6 months) (%, 95% CI)<sup>*</sup>\", \"bbox\": [1, 42, 229, 53]}, {\"cell\": \" Never\", \"bbox\": [8, 57, 29, 67]}, {\"cell\": \"55.1%(44.7–65.1)\", \"bbox\": [99, 57, 135, 76]}, {\"cell\": \"61.2%(44.9–75.4)\", \"bbox\": [195, 57, 230, 76]}, {\"cell\": \"53.8%(32.3–74.0)\", \"bbox\": [278, 57, 313, 76]}, {\"cell\": \"33.7%(16.9–56.0)\", \"bbox\": [359, 57, 395, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 57, 477, 76]}, {\"cell\": \" Sometimes\", \"bbox\": [8, 80, 46, 90]}, {\"cell\": \"14.9%(9.3–23.1)\", \"bbox\": [99, 80, 131, 99]}, {\"cell\": \"8.9%(3.9–19.1)\", \"bbox\": [195, 80, 227, 99]}, {\"cell\": \"22.5%(10.8–40.8)\", \"bbox\": [278, 80, 313, 99]}, {\"cell\": \"25.6%(9.3–53.6)\", \"bbox\": [359, 80, 391, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 80, 473, 99]}, {\"cell\": \" Always\", \"bbox\": [8, 103, 33, 113]}, {\"cell\": \"30.0%(20.9–41.0)\", \"bbox\": [99, 103, 135, 122]}, {\"cell\": \"29.9%(16.8–47.3)\", \"bbox\": [195, 103, 230, 122]}, {\"cell\": \"23.7%(8.0–52.5)\", \"bbox\": [278, 103, 310, 122]}, {\"cell\": \"40.7%(20.4–64.8)\", \"bbox\": [359, 103, 395, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 103, 473, 122]}, {\"cell\": \"Contraception used with main sexual partner (last 6 months) (%, 95% CI)<sup>**</sup>\", \"bbox\": [1, 125, 241, 136]}, {\"cell\": \" Highly effective\", \"bbox\": [8, 140, 60, 150]}, {\"cell\": \"4.8%(2.3–9.7)\", \"bbox\": [99, 140, 127, 159]}, {\"cell\": \"7.2%(2.7–17.8)\", \"bbox\": [195, 140, 227, 159]}, {\"cell\": \"2.2%(0.5–8.9)\", \"bbox\": [278, 140, 306, 159]}, {\"cell\": \"4.5%(1.2–15.7)\", \"bbox\": [359, 140, 391, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 140, 469, 159]}, {\"cell\": \" Less effective\", \"bbox\": [8, 163, 53, 173]}, {\"cell\": \"95.2% (90.3–97.7)\", \"bbox\": [99, 163, 156, 173]}, {\"cell\": \"92.8%(82.2–97.3)\", \"bbox\": [195, 163, 230, 182]}, {\"cell\": \"97.8%(91.1–99.5)\", \"bbox\": [278, 163, 313, 182]}, {\"cell\": \"95.5%(84.3–98.8)\", \"bbox\": [359, 163, 395, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [441, 163, 484, 182]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5838942_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}720{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>MI only</b></td><td colspan=\\\"3\\\"><b>Stroke only</b></td></tr><tr><td><b>Men (n = 9455)</b></td><td><b>Women (n = 5560)</b></td><td><b>p*</b></td><td><b>Men (n = 5883)</b></td><td><b>Women (n = 5855)</b></td><td><b>p*</b></td></tr></thead><tbody><tr><td>HbA<sub>1C</sub> <7.5 %, %</td><td>65.8</td><td>64.1</td><td>0.0553</td><td>62.2</td><td>61.4</td><td>[EMPTY_CELL]</td></tr><tr><td>Blood pressure <130/80 (mmHg), %</td><td>67.4</td><td>66.5</td><td>0.2679</td><td>–</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>Blood pressure 120/70–140/90 (mmHg), %</td><td>–</td><td>–</td><td>–</td><td>90.0</td><td>89.5</td><td>[EMPTY_CELL]</td></tr><tr><td>LDL-cholesterol <100 (mg/dl),%</td><td>60.1</td><td>49.2</td><td><0.0001</td><td>46.1</td><td>38.3</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI <27 (kg/m<sup>2</sup>),%</td><td>33.5</td><td>28.6</td><td><0.0001</td><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>Inhibitors of platelet aggregation, %</td><td>51.3</td><td>49.4</td><td>0.0137</td><td>32.7</td><td>30.5</td><td>[EMPTY_CELL]</td></tr><tr><td>Statins, %</td><td>58.5</td><td>54.5</td><td><0.0001</td><td>42.0</td><td>38.2</td><td>[EMPTY_CELL]</td></tr><tr><td>ACE inhibitors, %</td><td>51.3</td><td>46.9</td><td><0.0001</td><td>42.2</td><td>40.3</td><td>[EMPTY_CELL]</td></tr><tr><td>Beta blockers, %</td><td>59.7</td><td>59.0</td><td>0.4290</td><td>–</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>Any type of antihypertensives, %</td><td>65.9</td><td>63.8</td><td>0.0115</td><td>65.1</td><td>66.7</td><td>[EMPTY_CELL]</td></tr><tr><td>Non-smoker, %</td><td>92.0</td><td>94.0</td><td><0.0001</td><td>92.4</td><td>95.3</td><td>[EMPTY_CELL]</td></tr><tr><td>Physically active, %</td><td>9.5</td><td>8.5</td><td>0.2201</td><td>5.8</td><td>4.7</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MI only</b>\", \"bbox\": [146, 4, 173, 14]}, {\"cell\": \"<b>Stroke only</b>\", \"bbox\": [319, 4, 360, 14]}, {\"cell\": \"<b>Men (n = 9455)</b>\", \"bbox\": [146, 20, 201, 30]}, {\"cell\": \"<b>Women (n = 5560)</b>\", \"bbox\": [209, 20, 276, 30]}, {\"cell\": \"<b>p*</b>\", \"bbox\": [283, 20, 293, 30]}, {\"cell\": \"<b>Men (n = 5883)</b>\", \"bbox\": [319, 20, 374, 30]}, {\"cell\": \"<b>Women (n = 5855)</b>\", \"bbox\": [382, 20, 449, 30]}, {\"cell\": \"<b>p*</b>\", \"bbox\": [456, 20, 466, 30]}, {\"cell\": \"HbA<sub>1C</sub> <7.5 %, %\", \"bbox\": [1, 38, 55, 49]}, {\"cell\": \"65.8\", \"bbox\": [146, 38, 161, 48]}, {\"cell\": \"64.1\", \"bbox\": [209, 38, 224, 48]}, {\"cell\": \"0.0553\", \"bbox\": [288, 38, 311, 48]}, {\"cell\": \"62.2\", \"bbox\": [319, 38, 334, 48]}, {\"cell\": \"61.4\", \"bbox\": [382, 38, 398, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 38, 484, 48]}, {\"cell\": \"Blood pressure <130/80 (mmHg), %\", \"bbox\": [1, 50, 116, 60]}, {\"cell\": \"67.4\", \"bbox\": [146, 50, 161, 60]}, {\"cell\": \"66.5\", \"bbox\": [209, 50, 224, 60]}, {\"cell\": \"0.2679\", \"bbox\": [288, 50, 311, 60]}, {\"cell\": \"–\", \"bbox\": [325, 50, 331, 60]}, {\"cell\": \"–\", \"bbox\": [388, 50, 394, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 50, 468, 60]}, {\"cell\": \"Blood pressure 120/70–140/90 (mmHg), %\", \"bbox\": [1, 62, 138, 72]}, {\"cell\": \"–\", \"bbox\": [152, 62, 158, 72]}, {\"cell\": \"–\", \"bbox\": [215, 62, 221, 72]}, {\"cell\": \"–\", \"bbox\": [289, 62, 295, 72]}, {\"cell\": \"90.0\", \"bbox\": [319, 62, 334, 72]}, {\"cell\": \"89.5\", \"bbox\": [382, 62, 398, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 62, 484, 72]}, {\"cell\": \"LDL-cholesterol <100 (mg/dl),%\", \"bbox\": [1, 74, 107, 84]}, {\"cell\": \"60.1\", \"bbox\": [146, 74, 161, 84]}, {\"cell\": \"49.2\", \"bbox\": [209, 74, 224, 84]}, {\"cell\": \"<0.0001\", \"bbox\": [283, 74, 311, 84]}, {\"cell\": \"46.1\", \"bbox\": [319, 74, 334, 84]}, {\"cell\": \"38.3\", \"bbox\": [382, 74, 398, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 74, 484, 84]}, {\"cell\": \"BMI <27 (kg/m<sup>2</sup>),%\", \"bbox\": [1, 85, 65, 96]}, {\"cell\": \"33.5\", \"bbox\": [146, 87, 161, 96]}, {\"cell\": \"28.6\", \"bbox\": [209, 87, 224, 96]}, {\"cell\": \"<0.0001\", \"bbox\": [283, 87, 311, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [388, 87, 394, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 87, 468, 96]}, {\"cell\": \"Inhibitors of platelet aggregation, %\", \"bbox\": [1, 99, 117, 108]}, {\"cell\": \"51.3\", \"bbox\": [146, 99, 161, 108]}, {\"cell\": \"49.4\", \"bbox\": [209, 99, 224, 108]}, {\"cell\": \"0.0137\", \"bbox\": [288, 99, 311, 108]}, {\"cell\": \"32.7\", \"bbox\": [319, 99, 334, 108]}, {\"cell\": \"30.5\", \"bbox\": [382, 99, 398, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 99, 484, 108]}, {\"cell\": \"Statins, %\", \"bbox\": [1, 111, 33, 120]}, {\"cell\": \"58.5\", \"bbox\": [146, 111, 161, 120]}, {\"cell\": \"54.5\", \"bbox\": [209, 111, 224, 120]}, {\"cell\": \"<0.0001\", \"bbox\": [283, 111, 311, 120]}, {\"cell\": \"42.0\", \"bbox\": [319, 111, 334, 120]}, {\"cell\": \"38.2\", \"bbox\": [382, 111, 398, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 111, 484, 120]}, {\"cell\": \"ACE inhibitors, %\", \"bbox\": [1, 123, 56, 132]}, {\"cell\": \"51.3\", \"bbox\": [146, 123, 161, 132]}, {\"cell\": \"46.9\", \"bbox\": [209, 123, 224, 132]}, {\"cell\": \"<0.0001\", \"bbox\": [283, 123, 311, 132]}, {\"cell\": \"42.2\", \"bbox\": [319, 123, 334, 132]}, {\"cell\": \"40.3\", \"bbox\": [382, 123, 398, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 123, 484, 132]}, {\"cell\": \"Beta blockers, %\", \"bbox\": [1, 135, 54, 144]}, {\"cell\": \"59.7\", \"bbox\": [146, 135, 161, 144]}, {\"cell\": \"59.0\", \"bbox\": [209, 135, 224, 144]}, {\"cell\": \"0.4290\", \"bbox\": [288, 135, 311, 144]}, {\"cell\": \"–\", \"bbox\": [325, 135, 331, 144]}, {\"cell\": \"–\", \"bbox\": [388, 135, 394, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 135, 468, 144]}, {\"cell\": \"Any type of antihypertensives, %\", \"bbox\": [1, 147, 106, 157]}, {\"cell\": \"65.9\", \"bbox\": [146, 147, 161, 157]}, {\"cell\": \"63.8\", \"bbox\": [209, 147, 224, 157]}, {\"cell\": \"0.0115\", \"bbox\": [288, 147, 311, 157]}, {\"cell\": \"65.1\", \"bbox\": [319, 147, 334, 157]}, {\"cell\": \"66.7\", \"bbox\": [382, 147, 398, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 147, 484, 157]}, {\"cell\": \"Non-smoker, %\", \"bbox\": [1, 159, 51, 169]}, {\"cell\": \"92.0\", \"bbox\": [146, 159, 161, 169]}, {\"cell\": \"94.0\", \"bbox\": [209, 159, 224, 169]}, {\"cell\": \"<0.0001\", \"bbox\": [283, 159, 311, 169]}, {\"cell\": \"92.4\", \"bbox\": [319, 159, 334, 169]}, {\"cell\": \"95.3\", \"bbox\": [382, 159, 398, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 159, 484, 169]}, {\"cell\": \"Physically active, %\", \"bbox\": [1, 171, 63, 181]}, {\"cell\": \"9.5\", \"bbox\": [150, 171, 161, 181]}, {\"cell\": \"8.5\", \"bbox\": [213, 171, 224, 181]}, {\"cell\": \"0.2201\", \"bbox\": [288, 171, 311, 181]}, {\"cell\": \"5.8\", \"bbox\": [323, 171, 334, 181]}, {\"cell\": \"4.7\", \"bbox\": [386, 171, 398, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [461, 171, 484, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4855873_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}721{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>481 (77.2%)</td></tr><tr><td>[EMPTY_CELL]</td><td>69.6 ± 8.7</td></tr><tr><td>[EMPTY_CELL]</td><td>27.5 ± 4.1</td></tr><tr><td>[EMPTY_CELL]</td><td>4 (0.6%)</td></tr><tr><td>[EMPTY_CELL]</td><td>167 (26.8%)</td></tr><tr><td>[EMPTY_CELL]</td><td>305 (49.0%)</td></tr><tr><td>[EMPTY_CELL]</td><td>147 (23.6%)</td></tr><tr><td>[EMPTY_CELL]</td><td>65.8 ± 10.1</td></tr><tr><td>[EMPTY_CELL]</td><td>67.6 ± 9.6</td></tr><tr><td>[EMPTY_CELL]</td><td>3.6 ± 4.0</td></tr><tr><td>[EMPTY_CELL]</td><td>2.0 ± 3.3</td></tr><tr><td>[EMPTY_CELL]</td><td>242 (38.8%)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>237 (38.0%)</td></tr><tr><td>[EMPTY_CELL]</td><td>376 (60.4%)</td></tr><tr><td>[EMPTY_CELL]</td><td>10 (1.6%)</td></tr><tr><td>[EMPTY_CELL]</td><td>192 (30.8%)</td></tr><tr><td>[EMPTY_CELL]</td><td>55 (8.8%)</td></tr><tr><td>[EMPTY_CELL]</td><td>31 (5.0%)</td></tr><tr><td>[EMPTY_CELL]</td><td>272.4 ± 196.1</td></tr><tr><td>[EMPTY_CELL]</td><td>67.5 (±17.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>75.3 (±19.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>35.6 (±17.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>201 (32.3%)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>87 (20.2%)</td></tr><tr><td>[EMPTY_CELL]</td><td>238 (55.2%)</td></tr><tr><td>[EMPTY_CELL]</td><td>106 (24.6%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [1, 4, 45, 13]}, {\"cell\": \"<b>Value</b>\", \"bbox\": [192, 4, 211, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 30, 27]}, {\"cell\": \"481 (77.2%)\", \"bbox\": [192, 17, 230, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 35, 41]}, {\"cell\": \"69.6 ± 8.7\", \"bbox\": [192, 31, 225, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 80, 55]}, {\"cell\": \"27.5 ± 4.1\", \"bbox\": [192, 45, 225, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 59, 52, 69]}, {\"cell\": \"4 (0.6%)\", \"bbox\": [192, 59, 219, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 73, 58, 83]}, {\"cell\": \"167 (26.8%)\", \"bbox\": [192, 73, 230, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 87, 48, 97]}, {\"cell\": \"305 (49.0%)\", \"bbox\": [192, 87, 230, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 101, 34, 111]}, {\"cell\": \"147 (23.6%)\", \"bbox\": [192, 101, 230, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 110, 125]}, {\"cell\": \"65.8 ± 10.1\", \"bbox\": [192, 115, 229, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 87, 139]}, {\"cell\": \"67.6 ± 9.6\", \"bbox\": [192, 129, 225, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 118, 153]}, {\"cell\": \"3.6 ± 4.0\", \"bbox\": [192, 143, 221, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 76, 167]}, {\"cell\": \"2.0 ± 3.3\", \"bbox\": [192, 157, 221, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 128, 180]}, {\"cell\": \"242 (38.8%)\", \"bbox\": [192, 171, 230, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 51, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 199, 29, 208]}, {\"cell\": \"237 (38.0%)\", \"bbox\": [192, 199, 230, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 213, 33, 222]}, {\"cell\": \"376 (60.4%)\", \"bbox\": [192, 213, 230, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 227, 34, 236]}, {\"cell\": \"10 (1.6%)\", \"bbox\": [192, 227, 223, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 86, 250]}, {\"cell\": \"192 (30.8%)\", \"bbox\": [192, 241, 230, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 41, 264]}, {\"cell\": \"55 (8.8%)\", \"bbox\": [192, 255, 223, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 74, 278]}, {\"cell\": \"31 (5.0%)\", \"bbox\": [192, 269, 223, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 107, 292]}, {\"cell\": \"272.4 ± 196.1\", \"bbox\": [192, 283, 236, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 23, 306]}, {\"cell\": \"67.5 (±17.8)\", \"bbox\": [192, 297, 231, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 311, 25, 321]}, {\"cell\": \"75.3 (±19.4)\", \"bbox\": [192, 311, 231, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 27, 335]}, {\"cell\": \"35.6 (±17.0)\", \"bbox\": [192, 325, 231, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 76, 349]}, {\"cell\": \"201 (32.3%)\", \"bbox\": [192, 339, 230, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 36, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 367, 32, 377]}, {\"cell\": \"87 (20.2%)\", \"bbox\": [192, 367, 226, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 381, 34, 391]}, {\"cell\": \"238 (55.2%)\", \"bbox\": [192, 381, 230, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 395, 36, 405]}, {\"cell\": \"106 (24.6%)\", \"bbox\": [192, 395, 230, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5512739_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}722{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>No.</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>39</td><td>100.0</td></tr><tr><td>[EMPTY_CELL]</td><td>36</td><td>92.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>51.3</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>41.2 – 64.1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>7.7</td></tr><tr><td>[EMPTY_CELL]</td><td>27</td><td>69.2</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>23.1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>27</td><td>69.2</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>23.1</td></tr><tr><td>[EMPTY_CELL]</td><td>15</td><td>38.5</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>7.7</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>61.5</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>7.7</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>61.5</td></tr><tr><td>[EMPTY_CELL]</td><td>15</td><td>38.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>4.1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.0 – 11.2</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20</td><td>51.3</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>23.1</td></tr><tr><td>[EMPTY_CELL]</td><td>21</td><td>53.8</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>23.1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>15</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>21</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No.</b>\", \"bbox\": [186, 4, 201, 14]}, {\"cell\": \"<b>%</b>\", \"bbox\": [226, 4, 234, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 27, 32, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 37, 42, 47]}, {\"cell\": \"39\", \"bbox\": [189, 37, 199, 47]}, {\"cell\": \"100.0\", \"bbox\": [220, 37, 240, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 47, 91, 57]}, {\"cell\": \"36\", \"bbox\": [189, 47, 199, 57]}, {\"cell\": \"92.3\", \"bbox\": [222, 47, 238, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 57, 18, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 67, 65, 77]}, {\"cell\": \"51.3\", \"bbox\": [186, 67, 202, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 78, 36, 88]}, {\"cell\": \"41.2 – 64.1\", \"bbox\": [174, 78, 213, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [3, 88, 95, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 98, 20, 108]}, {\"cell\": \"3\", \"bbox\": [191, 98, 197, 108]}, {\"cell\": \"7.7\", \"bbox\": [224, 98, 236, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 108, 20, 118]}, {\"cell\": \"27\", \"bbox\": [189, 108, 199, 118]}, {\"cell\": \"69.2\", \"bbox\": [222, 108, 238, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 119, 20, 129]}, {\"cell\": \"9\", \"bbox\": [191, 119, 197, 129]}, {\"cell\": \"23.1\", \"bbox\": [222, 119, 238, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 129, 105, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 139, 31, 149]}, {\"cell\": \"27\", \"bbox\": [189, 139, 199, 149]}, {\"cell\": \"69.2\", \"bbox\": [222, 139, 238, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 150, 32, 159]}, {\"cell\": \"9\", \"bbox\": [191, 150, 197, 159]}, {\"cell\": \"23.1\", \"bbox\": [222, 150, 238, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 160, 57, 170]}, {\"cell\": \"15\", \"bbox\": [189, 160, 199, 170]}, {\"cell\": \"38.5\", \"bbox\": [222, 160, 238, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 170, 50, 180]}, {\"cell\": \"3\", \"bbox\": [191, 170, 197, 180]}, {\"cell\": \"7.7\", \"bbox\": [224, 170, 236, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 180, 33, 190]}, {\"cell\": \"24\", \"bbox\": [189, 180, 199, 190]}, {\"cell\": \"61.5\", \"bbox\": [222, 180, 238, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 190, 33, 200]}, {\"cell\": \"3\", \"bbox\": [191, 190, 197, 200]}, {\"cell\": \"7.7\", \"bbox\": [224, 190, 236, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 201, 116, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 211, 72, 221]}, {\"cell\": \"24\", \"bbox\": [189, 211, 199, 221]}, {\"cell\": \"61.5\", \"bbox\": [222, 211, 238, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 221, 81, 231]}, {\"cell\": \"15\", \"bbox\": [189, 221, 199, 231]}, {\"cell\": \"38.5\", \"bbox\": [222, 221, 238, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 232, 168, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 242, 72, 252]}, {\"cell\": \"4.1\", \"bbox\": [188, 242, 200, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 252, 36, 262]}, {\"cell\": \"1.0 – 11.2\", \"bbox\": [176, 252, 211, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 262, 129, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 273, 100, 282]}, {\"cell\": \"20\", \"bbox\": [189, 273, 199, 282]}, {\"cell\": \"51.3\", \"bbox\": [222, 273, 238, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 283, 20, 293]}, {\"cell\": \"9\", \"bbox\": [191, 283, 197, 293]}, {\"cell\": \"23.1\", \"bbox\": [222, 283, 238, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 293, 20, 303]}, {\"cell\": \"21\", \"bbox\": [189, 293, 199, 303]}, {\"cell\": \"53.8\", \"bbox\": [222, 293, 238, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 303, 50, 313]}, {\"cell\": \"9\", \"bbox\": [191, 303, 197, 313]}, {\"cell\": \"23.1\", \"bbox\": [222, 303, 238, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 313, 138, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 324, 32, 334]}, {\"cell\": \"24\", \"bbox\": [189, 324, 199, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [23, 334, 41, 344]}, {\"cell\": \"15\", \"bbox\": [189, 334, 199, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 344, 29, 354]}, {\"cell\": \"9\", \"bbox\": [191, 344, 197, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 355, 25, 364]}, {\"cell\": \"21\", \"bbox\": [189, 355, 199, 364]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 365, 150, 375]}, {\"cell\": \"6\", \"bbox\": [191, 365, 197, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 375, 26, 385]}, {\"cell\": \"3\", \"bbox\": [191, 375, 197, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC553982_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}723{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Author</b></td><td><b>Year</b></td><td><b>Diagnostic criteria</b></td><td><b>Perform</b></td><td colspan=\\\"2\\\"><b>FSIQ</b></td><td colspan=\\\"2\\\"><b>VIQ</b></td><td colspan=\\\"2\\\"><b>PIQ</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>DEL (M, SD)</b></td><td><b>UPD (M, SD)</b></td><td><b>DEL (M, SD)</b></td><td><b>UPD (M, SD)</b></td><td><b>DEL (M, SD)</b></td><td><b>UPD (M, SD)</b></td></tr></thead><tbody><tr><td>Dykens et al.</td><td>2008</td><td>K-BIT2</td><td>NA</td><td>62.07, 12.3 (n=55)</td><td>64.96, 13.07 (n=33)</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Soni et al.</td><td>2008</td><td>Wechsler</td><td>carry out by the first author</td><td>64.5,8.5 (n=24)</td><td>68.7,11.2 (n=22)</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Zarcone et al.</td><td>2007</td><td>Wechsler</td><td>Trained research staff conducted IQ test</td><td>62.3, 55.1 (n=41)</td><td>65.2, 12.1 (n=30)</td><td>63.3, 9.3 (n=41)</td><td>71.3, 11.9 (n=30)</td><td>65.7, 9.3 (n=41)</td><td>[EMPTY_CELL]</td></tr><tr><td>Descheemaeker et al.</td><td>2006</td><td>NA</td><td>NA</td><td>57.2, 16.21 (n=40)</td><td>58.4, 15.56 (n=18)</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Milner et al.</td><td>2005</td><td>Wechsler and Raven’s</td><td>the researchers involved were blind to the genetic status of participants.</td><td>70.78, 16.21 (n=45)</td><td>69.49, 16.89 (n=47)</td><td>81.16, 17.4 (n=19)</td><td>79.62, 21.08 (n=21)</td><td>76.53, 14.43 (n=19)</td><td>[EMPTY_CELL]</td></tr><tr><td>Walley et al.</td><td>2005</td><td>Wechsler</td><td>NA</td><td>-</td><td>-</td><td>71.64, 12.08 (n=12)</td><td>76.50, 8.64 (n=6)</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Bulter et al.</td><td>2004</td><td>Wechsler</td><td>NA</td><td>-</td><td>-</td><td>62.52, 9.18 (n=25)</td><td>70, 6.20 (n=21)</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Boer et al.</td><td>2002</td><td>NA</td><td>NA</td><td>67.0, 12.39 (n=9)</td><td>62.4, 9.86 (n=5)</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Fox et al.</td><td>2001</td><td>NA</td><td>NA</td><td>62.7, 9.8 (n=24)</td><td>63.9, 6.4 (n=19)</td><td>62.1, 9.5 (n=24)</td><td>69.7, 5.5 (n=19)</td><td>66.5, 9.6 (n=24)</td><td>[EMPTY_CELL]</td></tr><tr><td>Roof et al.</td><td>2000</td><td>Wechsler</td><td>carry on by a licensed psychological examiner</td><td>61, 9.2 (n=24)</td><td>64.1, 7.9 (n=14)</td><td>60.8, 8.6 (n=24)</td><td>69.9, 6.4 (n=14)</td><td>64.7, 9.3 (n=24)</td><td>[EMPTY_CELL]</td></tr><tr><td>Dykens et al.</td><td>1999</td><td>Kaufman or Wechsler</td><td>two of the university clinics</td><td>62.97, 8.83 (n=23)</td><td>70.93, 11.15 (n=23)</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Author</b>\", \"bbox\": [1, 26, 25, 37]}, {\"cell\": \"<b>Year</b>\", \"bbox\": [72, 26, 88, 37]}, {\"cell\": \"<b>Diagnostic criteria</b>\", \"bbox\": [94, 15, 129, 37]}, {\"cell\": \"<b>Perform</b>\", \"bbox\": [142, 26, 169, 37]}, {\"cell\": \"<b>FSIQ</b>\", \"bbox\": [218, 25, 235, 36]}, {\"cell\": \"<b>VIQ</b>\", \"bbox\": [328, 25, 342, 36]}, {\"cell\": \"<b>PIQ</b>\", \"bbox\": [419, 25, 432, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DEL (M, SD)</b>\", \"bbox\": [218, 50, 257, 61]}, {\"cell\": \"<b>UPD (M, SD)</b>\", \"bbox\": [272, 50, 311, 61]}, {\"cell\": \"<b>DEL (M, SD)</b>\", \"bbox\": [328, 50, 368, 61]}, {\"cell\": \"<b>UPD (M, SD)</b>\", \"bbox\": [374, 50, 414, 61]}, {\"cell\": \"<b>DEL (M, SD)</b>\", \"bbox\": [419, 50, 458, 61]}, {\"cell\": \"<b>UPD (M, SD)</b>\", \"bbox\": [462, 39, 488, 61]}, {\"cell\": \"Dykens et al.\", \"bbox\": [1, 68, 41, 79]}, {\"cell\": \"2008\", \"bbox\": [72, 68, 88, 79]}, {\"cell\": \"K-BIT2\", \"bbox\": [94, 68, 116, 79]}, {\"cell\": \"NA\", \"bbox\": [142, 68, 153, 79]}, {\"cell\": \"62.07, 12.3 (n=55)\", \"bbox\": [218, 63, 253, 84]}, {\"cell\": \"64.96, 13.07 (n=33)\", \"bbox\": [272, 63, 310, 84]}, {\"cell\": \"-\", \"bbox\": [328, 68, 333, 79]}, {\"cell\": \"-\", \"bbox\": [374, 68, 378, 79]}, {\"cell\": \"-\", \"bbox\": [419, 68, 423, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 68, 466, 79]}, {\"cell\": \"Soni et al.\", \"bbox\": [1, 92, 32, 102]}, {\"cell\": \"2008\", \"bbox\": [72, 92, 88, 102]}, {\"cell\": \"Wechsler\", \"bbox\": [94, 92, 123, 102]}, {\"cell\": \"carry out by the first author\", \"bbox\": [142, 86, 201, 108]}, {\"cell\": \"64.5,8.5 (n=24)\", \"bbox\": [218, 92, 265, 102]}, {\"cell\": \"68.7,11.2 (n=22)\", \"bbox\": [272, 92, 321, 102]}, {\"cell\": \"-\", \"bbox\": [328, 92, 333, 102]}, {\"cell\": \"-\", \"bbox\": [374, 92, 378, 102]}, {\"cell\": \"-\", \"bbox\": [419, 92, 423, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 92, 466, 102]}, {\"cell\": \"Zarcone et al.\", \"bbox\": [1, 115, 43, 126]}, {\"cell\": \"2007\", \"bbox\": [72, 115, 88, 126]}, {\"cell\": \"Wechsler\", \"bbox\": [94, 115, 123, 126]}, {\"cell\": \"Trained research staff conducted IQ test\", \"bbox\": [142, 110, 207, 131]}, {\"cell\": \"62.3, 55.1 (n=41)\", \"bbox\": [218, 110, 249, 131]}, {\"cell\": \"65.2, 12.1 (n=30)\", \"bbox\": [272, 110, 302, 131]}, {\"cell\": \"63.3, 9.3 (n=41)\", \"bbox\": [328, 110, 356, 131]}, {\"cell\": \"71.3, 11.9 (n=30)\", \"bbox\": [374, 110, 405, 131]}, {\"cell\": \"65.7, 9.3 (n=41)\", \"bbox\": [419, 110, 446, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 110, 492, 131]}, {\"cell\": \"Descheemaeker et al.\", \"bbox\": [1, 139, 66, 149]}, {\"cell\": \"2006\", \"bbox\": [72, 139, 88, 149]}, {\"cell\": \"NA\", \"bbox\": [94, 139, 105, 149]}, {\"cell\": \"NA\", \"bbox\": [142, 139, 153, 149]}, {\"cell\": \"57.2, 16.21 (n=40)\", \"bbox\": [218, 133, 253, 155]}, {\"cell\": \"58.4, 15.56 (n=18)\", \"bbox\": [272, 133, 306, 155]}, {\"cell\": \"-\", \"bbox\": [328, 139, 333, 149]}, {\"cell\": \"-\", \"bbox\": [374, 139, 378, 149]}, {\"cell\": \"-\", \"bbox\": [419, 139, 423, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 139, 466, 149]}, {\"cell\": \"Milner et al.\", \"bbox\": [1, 173, 37, 184]}, {\"cell\": \"2005\", \"bbox\": [72, 173, 88, 184]}, {\"cell\": \"Wechsler and Raven’s\", \"bbox\": [94, 168, 136, 189]}, {\"cell\": \"the researchers involved were blind to the genetic status of participants.\", \"bbox\": [142, 157, 206, 200]}, {\"cell\": \"70.78, 16.21 (n=45)\", \"bbox\": [218, 168, 256, 189]}, {\"cell\": \"69.49, 16.89 (n=47)\", \"bbox\": [272, 168, 310, 189]}, {\"cell\": \"81.16, 17.4 (n=19)\", \"bbox\": [328, 168, 363, 189]}, {\"cell\": \"79.62, 21.08 (n=21)\", \"bbox\": [374, 168, 412, 189]}, {\"cell\": \"76.53, 14.43 (n=19)\", \"bbox\": [419, 162, 440, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 162, 483, 195]}, {\"cell\": \"Walley et al.\", \"bbox\": [1, 208, 39, 218]}, {\"cell\": \"2005\", \"bbox\": [72, 208, 88, 218]}, {\"cell\": \"Wechsler\", \"bbox\": [94, 208, 123, 218]}, {\"cell\": \"NA\", \"bbox\": [142, 208, 153, 218]}, {\"cell\": \"-\", \"bbox\": [218, 208, 222, 218]}, {\"cell\": \"-\", \"bbox\": [272, 208, 276, 218]}, {\"cell\": \"71.64, 12.08 (n=12)\", \"bbox\": [328, 202, 367, 224]}, {\"cell\": \"76.50, 8.64 (n=6)\", \"bbox\": [374, 202, 408, 224]}, {\"cell\": \"-\", \"bbox\": [419, 208, 423, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 208, 466, 218]}, {\"cell\": \"Bulter et al.\", \"bbox\": [1, 231, 36, 242]}, {\"cell\": \"2004\", \"bbox\": [72, 231, 88, 242]}, {\"cell\": \"Wechsler\", \"bbox\": [94, 231, 123, 242]}, {\"cell\": \"NA\", \"bbox\": [142, 231, 153, 242]}, {\"cell\": \"-\", \"bbox\": [218, 231, 222, 242]}, {\"cell\": \"-\", \"bbox\": [272, 231, 276, 242]}, {\"cell\": \"62.52, 9.18 (n=25)\", \"bbox\": [328, 226, 363, 247]}, {\"cell\": \"70, 6.20 (n=21)\", \"bbox\": [374, 226, 399, 247]}, {\"cell\": \"-\", \"bbox\": [419, 231, 423, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 231, 466, 242]}, {\"cell\": \"Boer et al.\", \"bbox\": [1, 255, 33, 265]}, {\"cell\": \"2002\", \"bbox\": [72, 255, 88, 265]}, {\"cell\": \"NA\", \"bbox\": [94, 255, 105, 265]}, {\"cell\": \"NA\", \"bbox\": [142, 255, 153, 265]}, {\"cell\": \"67.0, 12.39 (n=9)\", \"bbox\": [218, 249, 253, 271]}, {\"cell\": \"62.4, 9.86 (n=5)\", \"bbox\": [272, 255, 320, 265]}, {\"cell\": \"-\", \"bbox\": [328, 255, 333, 265]}, {\"cell\": \"-\", \"bbox\": [374, 255, 378, 265]}, {\"cell\": \"-\", \"bbox\": [419, 255, 423, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 255, 466, 265]}, {\"cell\": \"Fox et al.\", \"bbox\": [1, 278, 30, 289]}, {\"cell\": \"2001\", \"bbox\": [72, 278, 88, 289]}, {\"cell\": \"NA\", \"bbox\": [94, 278, 105, 289]}, {\"cell\": \"NA\", \"bbox\": [142, 278, 153, 289]}, {\"cell\": \"62.7, 9.8 (n=24)\", \"bbox\": [218, 273, 246, 294]}, {\"cell\": \"63.9, 6.4 (n=19)\", \"bbox\": [272, 278, 320, 289]}, {\"cell\": \"62.1, 9.5 (n=24)\", \"bbox\": [328, 273, 356, 294]}, {\"cell\": \"69.7, 5.5 (n=19)\", \"bbox\": [374, 273, 401, 294]}, {\"cell\": \"66.5, 9.6 (n=24)\", \"bbox\": [419, 273, 446, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 273, 489, 294]}, {\"cell\": \"Roof et al.\", \"bbox\": [1, 302, 33, 312]}, {\"cell\": \"2000\", \"bbox\": [72, 302, 88, 312]}, {\"cell\": \"Wechsler\", \"bbox\": [94, 302, 123, 312]}, {\"cell\": \"carry on by a licensed psychological examiner\", \"bbox\": [142, 296, 211, 318]}, {\"cell\": \"61, 9.2 (n=24)\", \"bbox\": [218, 302, 261, 312]}, {\"cell\": \"64.1, 7.9 (n=14)\", \"bbox\": [272, 302, 320, 312]}, {\"cell\": \"60.8, 8.6 (n=24)\", \"bbox\": [328, 296, 356, 318]}, {\"cell\": \"69.9, 6.4 (n=14)\", \"bbox\": [374, 296, 401, 318]}, {\"cell\": \"64.7, 9.3 (n=24)\", \"bbox\": [419, 296, 446, 318]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 296, 489, 318]}, {\"cell\": \"Dykens et al.\", \"bbox\": [1, 325, 41, 336]}, {\"cell\": \"1999\", \"bbox\": [72, 325, 88, 336]}, {\"cell\": \"Kaufman or Wechsler\", \"bbox\": [94, 320, 130, 341]}, {\"cell\": \"two of the university clinics\", \"bbox\": [142, 320, 201, 341]}, {\"cell\": \"62.97, 8.83 (n=23)\", \"bbox\": [218, 320, 253, 341]}, {\"cell\": \"70.93, 11.15 (n=23)\", \"bbox\": [272, 320, 310, 341]}, {\"cell\": \"-\", \"bbox\": [328, 325, 333, 336]}, {\"cell\": \"-\", \"bbox\": [374, 325, 378, 336]}, {\"cell\": \"-\", \"bbox\": [419, 325, 423, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 325, 466, 336]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3743792_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}724{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Samples</b></td><td colspan=\\\"4\\\"><b>Clotting times (s)</b></td></tr><tr><td><b>RT</b></td><td><b>PT</b></td><td><b>aPTT</b></td><td><b>FC</b></td></tr></thead><tbody><tr><td>NaCl</td><td>[EMPTY_CELL]</td><td>21.7 ± 0.3</td><td>32.1 ± 1.2</td><td>26.4 ± 0.5</td></tr><tr><td>DMSO</td><td>[EMPTY_CELL]</td><td>25.6 ± 0.2</td><td>38.8 ± 0.8</td><td>34.1 ± 1.4</td></tr><tr><td>Dm-H-PF</td><td>[EMPTY_CELL]</td><td>24.5 ± 0.2</td><td>38.7 ± 2.0</td><td>46.8 ± 1.3 *</td></tr><tr><td>Dm-H-SP</td><td>[EMPTY_CELL]</td><td>25.1 ± 0.4</td><td>39.3 ± 1.3</td><td>47.3 ± 1.6 *</td></tr><tr><td>Dm-AC-PF</td><td>[EMPTY_CELL]</td><td>29.9 ± 0.6 *</td><td>40.5 ± 1.1</td><td>86.4 ± 2.6 *</td></tr><tr><td>Dm-AC-SP</td><td>[EMPTY_CELL]</td><td>24.7 ± 1.0</td><td>39.1 ± 0.7</td><td>65.3 ± 3.5 *</td></tr><tr><td>Dm-DC</td><td>[EMPTY_CELL]</td><td>23.3 ± 0.2</td><td>40.2 ± 0.5</td><td>66.7 ± 0.8 *</td></tr><tr><td>Dc-H</td><td>[EMPTY_CELL]</td><td>27.3 ± 0.2</td><td>38.7 ± 2.4</td><td>42.7 ± 0.9 *</td></tr><tr><td>Dc-AC</td><td>[EMPTY_CELL]</td><td>28.9 ± 0.2</td><td>46.1 ± 2.5 *</td><td>78.4 ± 11 *</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Samples</b>\", \"bbox\": [29, 12, 73, 25]}, {\"cell\": \"<b>Clotting times (s)</b>\", \"bbox\": [237, 5, 327, 17]}, {\"cell\": \"<b>RT</b>\", \"bbox\": [135, 20, 153, 33]}, {\"cell\": \"<b>PT</b>\", \"bbox\": [226, 20, 244, 33]}, {\"cell\": \"<b>aPTT</b>\", \"bbox\": [311, 20, 342, 33]}, {\"cell\": \"<b>FC</b>\", \"bbox\": [409, 20, 427, 33]}, {\"cell\": \"NaCl\", \"bbox\": [37, 36, 65, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 36, 171, 46]}, {\"cell\": \"21.7 ± 0.3\", \"bbox\": [210, 36, 260, 46]}, {\"cell\": \"32.1 ± 1.2\", \"bbox\": [302, 36, 352, 46]}, {\"cell\": \"26.4 ± 0.5\", \"bbox\": [393, 36, 444, 46]}, {\"cell\": \"DMSO\", \"bbox\": [33, 51, 69, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 51, 172, 61]}, {\"cell\": \"25.6 ± 0.2\", \"bbox\": [210, 51, 260, 61]}, {\"cell\": \"38.8 ± 0.8\", \"bbox\": [302, 51, 352, 61]}, {\"cell\": \"34.1 ± 1.4\", \"bbox\": [393, 51, 444, 61]}, {\"cell\": \"Dm-H-PF\", \"bbox\": [26, 66, 76, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 66, 171, 76]}, {\"cell\": \"24.5 ± 0.2\", \"bbox\": [210, 66, 260, 76]}, {\"cell\": \"38.7 ± 2.0\", \"bbox\": [302, 66, 352, 76]}, {\"cell\": \"46.8 ± 1.3 *\", \"bbox\": [388, 66, 448, 76]}, {\"cell\": \"Dm-H-SP\", \"bbox\": [26, 81, 76, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 81, 172, 91]}, {\"cell\": \"25.1 ± 0.4\", \"bbox\": [210, 81, 260, 91]}, {\"cell\": \"39.3 ± 1.3\", \"bbox\": [302, 81, 352, 91]}, {\"cell\": \"47.3 ± 1.6 *\", \"bbox\": [388, 81, 448, 91]}, {\"cell\": \"Dm-AC-PF\", \"bbox\": [22, 96, 80, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 96, 171, 106]}, {\"cell\": \"29.9 ± 0.6 *\", \"bbox\": [205, 96, 265, 106]}, {\"cell\": \"40.5 ± 1.1\", \"bbox\": [302, 96, 352, 106]}, {\"cell\": \"86.4 ± 2.6 *\", \"bbox\": [388, 96, 448, 106]}, {\"cell\": \"Dm-AC-SP\", \"bbox\": [22, 111, 80, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 111, 172, 121]}, {\"cell\": \"24.7 ± 1.0\", \"bbox\": [210, 111, 260, 121]}, {\"cell\": \"39.1 ± 0.7\", \"bbox\": [302, 111, 352, 121]}, {\"cell\": \"65.3 ± 3.5 *\", \"bbox\": [388, 111, 448, 121]}, {\"cell\": \"Dm-DC\", \"bbox\": [31, 126, 71, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 126, 171, 136]}, {\"cell\": \"23.3 ± 0.2\", \"bbox\": [210, 126, 260, 136]}, {\"cell\": \"40.2 ± 0.5\", \"bbox\": [302, 126, 352, 136]}, {\"cell\": \"66.7 ± 0.8 *\", \"bbox\": [388, 126, 448, 136]}, {\"cell\": \"Dc-H\", \"bbox\": [37, 141, 65, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 141, 171, 151]}, {\"cell\": \"27.3 ± 0.2\", \"bbox\": [210, 141, 260, 151]}, {\"cell\": \"38.7 ± 2.4\", \"bbox\": [302, 141, 352, 151]}, {\"cell\": \"42.7 ± 0.9 *\", \"bbox\": [388, 141, 448, 151]}, {\"cell\": \"Dc-AC\", \"bbox\": [33, 156, 69, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 156, 172, 166]}, {\"cell\": \"28.9 ± 0.2\", \"bbox\": [210, 156, 260, 166]}, {\"cell\": \"46.1 ± 2.5 *\", \"bbox\": [297, 156, 357, 166]}, {\"cell\": \"78.4 ± 11 *\", \"bbox\": [390, 156, 447, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3164377_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}725{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene symbol</b></td><td><b>Accession No.</b></td><td><b>Folder Δ SCNT/Agg</b></td><td><b>Folder Δ SCNT/Con</b></td><td><b>Folder Δ Agg/Con</b></td></tr></thead><tbody><tr><td>Cmas</td><td>NM_009908.1</td><td>3.15<sup>**</sup></td><td>1.85<sup>**</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Ermap</td><td>NM_013848.1</td><td>2.53<sup>**</sup></td><td>2.84<sup>*</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Prl2a1</td><td>NM_019991.1</td><td>2.22<sup>**</sup></td><td>1.30<sup>*</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Prl4a1</td><td>NM_011165.3</td><td>2.13<sup>**</sup></td><td>2.69<sup>**</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Sbsn</td><td>NM_172205.3</td><td>2.03<sup>*</sup></td><td>3.32<sup>**</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>Serpinb9d</td><td>NM_011460.1</td><td>2.08<sup>**</sup></td><td>3.03<sup>**</sup></td><td>[EMPTY_CELL]</td></tr><tr><td>2310039H08Rik</td><td>NM_025966.3</td><td>2.11<sup>*</sup></td><td>1.28</td><td>[EMPTY_CELL]</td></tr><tr><td>Gpn2</td><td>NM_133884.1</td><td>2.14<sup>*</sup></td><td>1.14</td><td>[EMPTY_CELL]</td></tr><tr><td>H2-Q5</td><td>NM_010393.1</td><td>2.10<sup>**</sup></td><td>1.45</td><td>[EMPTY_CELL]</td></tr><tr><td>Matn1</td><td>NM_010769.1</td><td>2.30<sup>*</sup></td><td>1.81</td><td>[EMPTY_CELL]</td></tr><tr><td>Mlycd</td><td>NM_019966.2</td><td>2.08<sup>**</sup></td><td>1.19</td><td>[EMPTY_CELL]</td></tr><tr><td>Pacsin1</td><td>NM_011861.2</td><td>2.20<sup>*</sup></td><td>1.28</td><td>[EMPTY_CELL]</td></tr><tr><td>Prcp</td><td>NM_028243.2</td><td>2.12<sup>**</sup></td><td>1.37</td><td>[EMPTY_CELL]</td></tr><tr><td>Stab2</td><td>NM_138673.2</td><td>2.03<sup>*</sup></td><td>1.32</td><td>[EMPTY_CELL]</td></tr><tr><td>Atf4</td><td>NM_009716.2</td><td>2.42<sup>*</sup></td><td>1.02</td><td>[EMPTY_CELL]</td></tr><tr><td>Atp6v1d</td><td>NM_023721.2</td><td>2.43<sup>**</sup></td><td>−1.01</td><td>[EMPTY_CELL]</td></tr><tr><td>Fmr1nb</td><td>NM_174993.1</td><td>2.35<sup>**</sup></td><td>1.14</td><td>[EMPTY_CELL]</td></tr><tr><td>Gnaq</td><td>NM_008139.5</td><td>2.75<sup>**</sup></td><td>1.23</td><td>[EMPTY_CELL]</td></tr><tr><td>Riok1</td><td>NM_024242.2</td><td>2.37<sup>**</sup></td><td>1.08</td><td>[EMPTY_CELL]</td></tr><tr><td>Tomm22</td><td>NM_172609.3</td><td>2.35<sup>**</sup></td><td>1.04</td><td>[EMPTY_CELL]</td></tr><tr><td>Zfp330</td><td>NM_145600.1</td><td>2.58<sup>**</sup></td><td>1.14</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene symbol</b>\", \"bbox\": [1, 5, 45, 14]}, {\"cell\": \"<b>Accession No.</b>\", \"bbox\": [100, 5, 146, 14]}, {\"cell\": \"<b>Folder Δ SCNT/Agg</b>\", \"bbox\": [195, 5, 260, 14]}, {\"cell\": \"<b>Folder Δ SCNT/Con</b>\", \"bbox\": [309, 5, 374, 14]}, {\"cell\": \"<b>Folder Δ Agg/Con</b>\", \"bbox\": [423, 5, 484, 14]}, {\"cell\": \"Cmas\", \"bbox\": [1, 18, 20, 27]}, {\"cell\": \"NM_009908.1\", \"bbox\": [100, 18, 145, 27]}, {\"cell\": \"3.15<sup>**</sup>\", \"bbox\": [218, 16, 238, 27]}, {\"cell\": \"1.85<sup>**</sup>\", \"bbox\": [335, 16, 354, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 18, 464, 27]}, {\"cell\": \"Ermap\", \"bbox\": [1, 32, 23, 41]}, {\"cell\": \"NM_013848.1\", \"bbox\": [100, 32, 145, 41]}, {\"cell\": \"2.53<sup>**</sup>\", \"bbox\": [218, 30, 238, 41]}, {\"cell\": \"2.84<sup>*</sup>\", \"bbox\": [335, 30, 352, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 32, 464, 41]}, {\"cell\": \"Prl2a1\", \"bbox\": [1, 46, 22, 55]}, {\"cell\": \"NM_019991.1\", \"bbox\": [100, 46, 145, 55]}, {\"cell\": \"2.22<sup>**</sup>\", \"bbox\": [218, 44, 238, 55]}, {\"cell\": \"1.30<sup>*</sup>\", \"bbox\": [335, 44, 352, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 46, 464, 55]}, {\"cell\": \"Prl4a1\", \"bbox\": [1, 60, 22, 69]}, {\"cell\": \"NM_011165.3\", \"bbox\": [100, 60, 145, 69]}, {\"cell\": \"2.13<sup>**</sup>\", \"bbox\": [218, 58, 238, 69]}, {\"cell\": \"2.69<sup>**</sup>\", \"bbox\": [335, 58, 354, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 60, 464, 69]}, {\"cell\": \"Sbsn\", \"bbox\": [1, 74, 18, 83]}, {\"cell\": \"NM_172205.3\", \"bbox\": [100, 74, 145, 83]}, {\"cell\": \"2.03<sup>*</sup>\", \"bbox\": [218, 72, 235, 83]}, {\"cell\": \"3.32<sup>**</sup>\", \"bbox\": [335, 72, 354, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 74, 464, 83]}, {\"cell\": \"Serpinb9d\", \"bbox\": [1, 88, 35, 97]}, {\"cell\": \"NM_011460.1\", \"bbox\": [100, 88, 145, 97]}, {\"cell\": \"2.08<sup>**</sup>\", \"bbox\": [218, 86, 238, 97]}, {\"cell\": \"3.03<sup>**</sup>\", \"bbox\": [335, 86, 354, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [449, 88, 464, 97]}, {\"cell\": \"2310039H08Rik\", \"bbox\": [1, 102, 51, 111]}, {\"cell\": \"NM_025966.3\", \"bbox\": [100, 102, 145, 111]}, {\"cell\": \"2.11<sup>*</sup>\", \"bbox\": [218, 100, 235, 111]}, {\"cell\": \"1.28\", \"bbox\": [335, 102, 349, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 102, 464, 111]}, {\"cell\": \"Gpn2\", \"bbox\": [1, 116, 20, 125]}, {\"cell\": \"NM_133884.1\", \"bbox\": [100, 116, 145, 125]}, {\"cell\": \"2.14<sup>*</sup>\", \"bbox\": [218, 114, 235, 125]}, {\"cell\": \"1.14\", \"bbox\": [335, 116, 349, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 116, 464, 125]}, {\"cell\": \"H2-Q5\", \"bbox\": [1, 130, 23, 139]}, {\"cell\": \"NM_010393.1\", \"bbox\": [100, 130, 145, 139]}, {\"cell\": \"2.10<sup>**</sup>\", \"bbox\": [218, 128, 238, 139]}, {\"cell\": \"1.45\", \"bbox\": [335, 130, 349, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 130, 464, 139]}, {\"cell\": \"Matn1\", \"bbox\": [1, 144, 23, 153]}, {\"cell\": \"NM_010769.1\", \"bbox\": [100, 144, 145, 153]}, {\"cell\": \"2.30<sup>*</sup>\", \"bbox\": [218, 142, 235, 153]}, {\"cell\": \"1.81\", \"bbox\": [335, 144, 349, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 144, 464, 153]}, {\"cell\": \"Mlycd\", \"bbox\": [1, 158, 22, 167]}, {\"cell\": \"NM_019966.2\", \"bbox\": [100, 158, 145, 167]}, {\"cell\": \"2.08<sup>**</sup>\", \"bbox\": [218, 156, 238, 167]}, {\"cell\": \"1.19\", \"bbox\": [335, 158, 349, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 158, 464, 167]}, {\"cell\": \"Pacsin1\", \"bbox\": [1, 172, 26, 181]}, {\"cell\": \"NM_011861.2\", \"bbox\": [100, 172, 145, 181]}, {\"cell\": \"2.20<sup>*</sup>\", \"bbox\": [218, 170, 235, 181]}, {\"cell\": \"1.28\", \"bbox\": [335, 172, 349, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 172, 464, 181]}, {\"cell\": \"Prcp\", \"bbox\": [1, 186, 17, 195]}, {\"cell\": \"NM_028243.2\", \"bbox\": [100, 186, 145, 195]}, {\"cell\": \"2.12<sup>**</sup>\", \"bbox\": [218, 184, 238, 195]}, {\"cell\": \"1.37\", \"bbox\": [335, 186, 349, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 186, 464, 195]}, {\"cell\": \"Stab2\", \"bbox\": [1, 200, 20, 209]}, {\"cell\": \"NM_138673.2\", \"bbox\": [100, 200, 145, 209]}, {\"cell\": \"2.03<sup>*</sup>\", \"bbox\": [218, 198, 235, 209]}, {\"cell\": \"1.32\", \"bbox\": [335, 200, 349, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 200, 464, 209]}, {\"cell\": \"Atf4\", \"bbox\": [1, 214, 15, 223]}, {\"cell\": \"NM_009716.2\", \"bbox\": [100, 214, 145, 223]}, {\"cell\": \"2.42<sup>*</sup>\", \"bbox\": [218, 212, 235, 223]}, {\"cell\": \"1.02\", \"bbox\": [335, 214, 349, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 214, 464, 223]}, {\"cell\": \"Atp6v1d\", \"bbox\": [1, 228, 29, 237]}, {\"cell\": \"NM_023721.2\", \"bbox\": [100, 228, 145, 237]}, {\"cell\": \"2.43<sup>**</sup>\", \"bbox\": [218, 226, 238, 237]}, {\"cell\": \"−1.01\", \"bbox\": [330, 228, 349, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 228, 464, 237]}, {\"cell\": \"Fmr1nb\", \"bbox\": [1, 242, 27, 251]}, {\"cell\": \"NM_174993.1\", \"bbox\": [100, 242, 145, 251]}, {\"cell\": \"2.35<sup>**</sup>\", \"bbox\": [218, 240, 238, 251]}, {\"cell\": \"1.14\", \"bbox\": [335, 242, 349, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 242, 464, 251]}, {\"cell\": \"Gnaq\", \"bbox\": [1, 256, 20, 265]}, {\"cell\": \"NM_008139.5\", \"bbox\": [100, 256, 145, 265]}, {\"cell\": \"2.75<sup>**</sup>\", \"bbox\": [218, 254, 238, 265]}, {\"cell\": \"1.23\", \"bbox\": [335, 256, 349, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 256, 464, 265]}, {\"cell\": \"Riok1\", \"bbox\": [1, 270, 20, 279]}, {\"cell\": \"NM_024242.2\", \"bbox\": [100, 270, 145, 279]}, {\"cell\": \"2.37<sup>**</sup>\", \"bbox\": [218, 268, 238, 279]}, {\"cell\": \"1.08\", \"bbox\": [335, 270, 349, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 270, 464, 279]}, {\"cell\": \"Tomm22\", \"bbox\": [1, 284, 31, 293]}, {\"cell\": \"NM_172609.3\", \"bbox\": [100, 284, 145, 293]}, {\"cell\": \"2.35<sup>**</sup>\", \"bbox\": [218, 282, 238, 293]}, {\"cell\": \"1.04\", \"bbox\": [335, 284, 349, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 284, 464, 293]}, {\"cell\": \"Zfp330\", \"bbox\": [1, 298, 25, 307]}, {\"cell\": \"NM_145600.1\", \"bbox\": [100, 298, 145, 307]}, {\"cell\": \"2.58<sup>**</sup>\", \"bbox\": [218, 296, 238, 307]}, {\"cell\": \"1.14\", \"bbox\": [335, 298, 349, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 298, 464, 307]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5368936_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}726{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Parameter</b></td><td><b>TB positive (<i>n</i> = 52)</b></td><td><b>TB negative (<i>n</i> = 80)</b></td><td><b><i>P</i> value</b></td><td><b>Auramine positive (<i>n</i> = 19)</b></td><td><b>MODS positive (<i>n</i> = 34)</b></td><td><b>LJ positive (<i>n</i> = 40)</b></td><td><b>Histological diagnosis of TB (<i>n</i> = 43)</b></td><td><b>Total (<i>n</i> = 132)</b></td></tr></thead><tbody><tr><td>No. (%) of females<sup><i>a</i></sup></td><td>23 (44.2)</td><td>34 (42.5)</td><td>0.86</td><td>3 (15.8)</td><td>13 (38.2)</td><td>[EMPTY_CELL]</td><td>22 (51.2)</td><td>57 (43.2)</td></tr><tr><td>Median age, yr (IQR)<sup><i>b</i></sup></td><td>39 (26–46)</td><td>41 (27–55)</td><td>0.38</td><td>32 (29–40)</td><td>32 (25–48)</td><td>[EMPTY_CELL]</td><td>35 (24–47)</td><td>40 (25–52)</td></tr><tr><td>No. (%) HIV positive<sup><i>a</i></sup></td><td>20 (38.5)</td><td>34 (42.5)</td><td>0.72</td><td>13 (68.4)</td><td>12 (35.3)</td><td>[EMPTY_CELL]</td><td>15 (34.9)</td><td>54 (40.9)</td></tr><tr><td>Median no. of CD4<sup>+</sup> cells/mm<sup>3</sup> (IQR)<sup><i>b</i></sup></td><td>75 (27–218)</td><td>163 (121–271)</td><td>0.18</td><td>87 (25–140)</td><td>75 (22–163)</td><td>[EMPTY_CELL]</td><td>63 (25–219)</td><td>156 (41–234)</td></tr><tr><td>No. (%) with positive sputum smear<sup><i>a</i></sup></td><td>4 (7.7)</td><td>0 (0)</td><td>0.02</td><td>4 (2.1)</td><td>3 (8.8)</td><td>[EMPTY_CELL]</td><td>3 (7.0)</td><td>4 (3.0)</td></tr><tr><td>No. (%) on TB treatment for >1 wk<sup><i>a</i></sup></td><td>5 (9.6)</td><td>7 (8.8)</td><td>1.00</td><td>5 (26.3)</td><td>4 (11.8)</td><td>[EMPTY_CELL]</td><td>3 (7.0)</td><td>12 (9.7)</td></tr><tr><td>No. (%) with previous TB<sup><i>a</i></sup></td><td>10 (19.2)</td><td>13 (16.3)</td><td>0.65</td><td>3 (15.8)</td><td>2 (5.9)</td><td>[EMPTY_CELL]</td><td>7 (16.3)</td><td>23 (17.4)</td></tr><tr><td>No. (%) with normal CXR<sup><i>a</i></sup></td><td>27 (51.9)</td><td>38 (47.5)</td><td>0.375</td><td>8 (42.1)</td><td>15 (48.4)</td><td>[EMPTY_CELL]</td><td>22 (51.2)</td><td>65 (49.2)</td></tr><tr><td>No. (%) with abnormal<sup><i>c</i></sup> CXR<sup><i>a</i></sup></td><td>18 (34.6)</td><td>28 (35.0)</td><td>0.558</td><td>10 (52.6)</td><td>14 (44.1)</td><td>[EMPTY_CELL]</td><td>14 (32.6)</td><td>46 (34.8)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [1, 25, 36, 34]}, {\"cell\": \"<b>TB positive (<i>n</i> = 52)</b>\", \"bbox\": [135, 15, 173, 34]}, {\"cell\": \"<b>TB negative (<i>n</i> = 80)</b>\", \"bbox\": [182, 15, 222, 34]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [237, 25, 262, 34]}, {\"cell\": \"<b>Auramine positive (<i>n</i> = 19)</b>\", \"bbox\": [269, 5, 303, 34]}, {\"cell\": \"<b>MODS positive (<i>n</i> = 34)</b>\", \"bbox\": [316, 5, 346, 34]}, {\"cell\": \"<b>LJ positive (<i>n</i> = 40)</b>\", \"bbox\": [364, 15, 399, 34]}, {\"cell\": \"<b>Histological diagnosis of TB (<i>n</i> = 43)</b>\", \"bbox\": [413, 5, 454, 34]}, {\"cell\": \"<b>Total (<i>n</i> = 132)</b>\", \"bbox\": [461, 15, 495, 34]}, {\"cell\": \"No. (%) of females<sup><i>a</i></sup>\", \"bbox\": [1, 37, 66, 47]}, {\"cell\": \"23 (44.2)\", \"bbox\": [135, 38, 166, 47]}, {\"cell\": \"34 (42.5)\", \"bbox\": [182, 38, 213, 47]}, {\"cell\": \"0.86\", \"bbox\": [237, 38, 252, 47]}, {\"cell\": \"3 (15.8)\", \"bbox\": [269, 38, 296, 47]}, {\"cell\": \"13 (38.2)\", \"bbox\": [316, 38, 347, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 38, 394, 47]}, {\"cell\": \"22 (51.2)\", \"bbox\": [413, 38, 444, 47]}, {\"cell\": \"57 (43.2)\", \"bbox\": [461, 38, 492, 47]}, {\"cell\": \"Median age, yr (IQR)<sup><i>b</i></sup>\", \"bbox\": [1, 47, 74, 57]}, {\"cell\": \"39 (26–46)\", \"bbox\": [135, 48, 171, 57]}, {\"cell\": \"41 (27–55)\", \"bbox\": [182, 48, 219, 57]}, {\"cell\": \"0.38\", \"bbox\": [237, 48, 252, 57]}, {\"cell\": \"32 (29–40)\", \"bbox\": [269, 48, 306, 57]}, {\"cell\": \"32 (25–48)\", \"bbox\": [316, 48, 353, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 48, 406, 57]}, {\"cell\": \"35 (24–47)\", \"bbox\": [413, 48, 450, 57]}, {\"cell\": \"40 (25–52)\", \"bbox\": [461, 48, 498, 57]}, {\"cell\": \"No. (%) HIV positive<sup><i>a</i></sup>\", \"bbox\": [1, 57, 75, 67]}, {\"cell\": \"20 (38.5)\", \"bbox\": [135, 58, 166, 67]}, {\"cell\": \"34 (42.5)\", \"bbox\": [182, 58, 213, 67]}, {\"cell\": \"0.72\", \"bbox\": [237, 58, 252, 67]}, {\"cell\": \"13 (68.4)\", \"bbox\": [269, 58, 300, 67]}, {\"cell\": \"12 (35.3)\", \"bbox\": [316, 58, 347, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 58, 394, 67]}, {\"cell\": \"15 (34.9)\", \"bbox\": [413, 58, 444, 67]}, {\"cell\": \"54 (40.9)\", \"bbox\": [461, 58, 492, 67]}, {\"cell\": \"Median no. of CD4<sup>+</sup> cells/mm<sup>3</sup> (IQR)<sup><i>b</i></sup>\", \"bbox\": [1, 67, 128, 77]}, {\"cell\": \"75 (27–218)\", \"bbox\": [135, 68, 175, 77]}, {\"cell\": \"163 (121–271)\", \"bbox\": [182, 68, 230, 77]}, {\"cell\": \"0.18\", \"bbox\": [237, 68, 252, 77]}, {\"cell\": \"87 (25–140)\", \"bbox\": [269, 68, 309, 77]}, {\"cell\": \"75 (22–163)\", \"bbox\": [316, 68, 357, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 68, 404, 77]}, {\"cell\": \"63 (25–219)\", \"bbox\": [413, 68, 453, 77]}, {\"cell\": \"156 (41–234)\", \"bbox\": [461, 68, 506, 77]}, {\"cell\": \"No. (%) with positive sputum smear<sup><i>a</i></sup>\", \"bbox\": [1, 77, 122, 87]}, {\"cell\": \"4 (7.7)\", \"bbox\": [135, 78, 158, 87]}, {\"cell\": \"0 (0)\", \"bbox\": [182, 78, 199, 87]}, {\"cell\": \"0.02\", \"bbox\": [237, 78, 252, 87]}, {\"cell\": \"4 (2.1)\", \"bbox\": [269, 78, 292, 87]}, {\"cell\": \"3 (8.8)\", \"bbox\": [316, 78, 339, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 78, 391, 87]}, {\"cell\": \"3 (7.0)\", \"bbox\": [413, 78, 436, 87]}, {\"cell\": \"4 (3.0)\", \"bbox\": [461, 78, 484, 87]}, {\"cell\": \"No. (%) on TB treatment for >1 wk<sup><i>a</i></sup>\", \"bbox\": [1, 87, 122, 97]}, {\"cell\": \"5 (9.6)\", \"bbox\": [135, 88, 158, 97]}, {\"cell\": \"7 (8.8)\", \"bbox\": [182, 88, 205, 97]}, {\"cell\": \"1.00\", \"bbox\": [237, 88, 252, 97]}, {\"cell\": \"5 (26.3)\", \"bbox\": [269, 88, 296, 97]}, {\"cell\": \"4 (11.8)\", \"bbox\": [316, 88, 343, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 88, 391, 97]}, {\"cell\": \"3 (7.0)\", \"bbox\": [413, 88, 436, 97]}, {\"cell\": \"12 (9.7)\", \"bbox\": [461, 88, 488, 97]}, {\"cell\": \"No. (%) with previous TB<sup><i>a</i></sup>\", \"bbox\": [1, 97, 89, 107]}, {\"cell\": \"10 (19.2)\", \"bbox\": [135, 98, 166, 107]}, {\"cell\": \"13 (16.3)\", \"bbox\": [182, 98, 213, 107]}, {\"cell\": \"0.65\", \"bbox\": [237, 98, 252, 107]}, {\"cell\": \"3 (15.8)\", \"bbox\": [269, 98, 296, 107]}, {\"cell\": \"2 (5.9)\", \"bbox\": [316, 98, 339, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 98, 391, 107]}, {\"cell\": \"7 (16.3)\", \"bbox\": [413, 98, 440, 107]}, {\"cell\": \"23 (17.4)\", \"bbox\": [461, 98, 492, 107]}, {\"cell\": \"No. (%) with normal CXR<sup><i>a</i></sup>\", \"bbox\": [1, 107, 91, 117]}, {\"cell\": \"27 (51.9)\", \"bbox\": [135, 108, 166, 117]}, {\"cell\": \"38 (47.5)\", \"bbox\": [182, 108, 213, 117]}, {\"cell\": \"0.375\", \"bbox\": [237, 108, 256, 117]}, {\"cell\": \"8 (42.1)\", \"bbox\": [269, 108, 296, 117]}, {\"cell\": \"15 (48.4)\", \"bbox\": [316, 108, 347, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 108, 394, 117]}, {\"cell\": \"22 (51.2)\", \"bbox\": [413, 108, 444, 117]}, {\"cell\": \"65 (49.2)\", \"bbox\": [461, 108, 492, 117]}, {\"cell\": \"No. (%) with abnormal<sup><i>c</i></sup> CXR<sup><i>a</i></sup>\", \"bbox\": [1, 117, 100, 127]}, {\"cell\": \"18 (34.6)\", \"bbox\": [135, 118, 166, 127]}, {\"cell\": \"28 (35.0)\", \"bbox\": [182, 118, 213, 127]}, {\"cell\": \"0.558\", \"bbox\": [237, 118, 256, 127]}, {\"cell\": \"10 (52.6)\", \"bbox\": [269, 118, 300, 127]}, {\"cell\": \"14 (44.1)\", \"bbox\": [316, 118, 347, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 118, 394, 127]}, {\"cell\": \"14 (32.6)\", \"bbox\": [413, 118, 444, 127]}, {\"cell\": \"46 (34.8)\", \"bbox\": [461, 118, 492, 127]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4702711_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}727{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Total (<i>n</i> = 21)</b></td><td><b>RH (<i>n</i> = 9)</b></td><td><b>LH (<i>n</i> = 12)</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>Male/female</td><td>15/6</td><td>7/2</td><td>[EMPTY_CELL]</td><td>0.65</td></tr><tr><td>Mean age (years) (SD)</td><td>55.3 (±5.9)</td><td>54.2 (±2.8)</td><td>[EMPTY_CELL]</td><td>0.41</td></tr><tr><td>Time since lesion (months)</td><td>32.6 (±17.7)</td><td>37.4 (±19.9)</td><td>[EMPTY_CELL]</td><td>0.29</td></tr><tr><td>BMI (Kg/m<sup>2</sup>)</td><td>30.1 (±5.6)</td><td>29.5 (±6.8)</td><td>[EMPTY_CELL]</td><td>0.69</td></tr><tr><td>Weight (kg)</td><td>73.2 (±10.9)</td><td>75.3 (±11.7)</td><td>[EMPTY_CELL]</td><td>0.26</td></tr><tr><td>Height (m)</td><td>1.5 (±9.36)</td><td>1.6 (±9.5)</td><td>[EMPTY_CELL]</td><td>0.20</td></tr><tr><td rowspan=\\\"2\\\">FIM</td><td>Motor</td><td>81 (±5.0)</td><td>[EMPTY_CELL]</td><td>0.03</td></tr><tr><td>Total</td><td>107 (±16.0)</td><td>107 (±8.7)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Muscle strength </td><td>Biceps brachial</td><td>3.0 (±0.9)</td><td>[EMPTY_CELL]</td><td>0.4</td></tr><tr><td>Quadriceps</td><td>3.8 (±0.4)</td><td>3.9 (±0.7)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Spasticity </td><td>Biceps brachial</td><td>1.2 (±0.7)</td><td>[EMPTY_CELL]</td><td>0.3</td></tr><tr><td>Gastrocnemius</td><td>1.1 (±0.7)</td><td>0.8 (±0.7)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total (<i>n</i> = 21)</b>\", \"bbox\": [160, 1, 212, 16]}, {\"cell\": \"<b>RH (<i>n</i> = 9)</b>\", \"bbox\": [275, 1, 316, 16]}, {\"cell\": \"<b>LH (<i>n</i> = 12)</b>\", \"bbox\": [376, 1, 422, 16]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [486, 1, 494, 16]}, {\"cell\": \"Male/female\", \"bbox\": [2, 17, 49, 27]}, {\"cell\": \"15/6\", \"bbox\": [178, 17, 195, 27]}, {\"cell\": \"7/2\", \"bbox\": [289, 17, 302, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 17, 406, 27]}, {\"cell\": \"0.65\", \"bbox\": [482, 17, 498, 27]}, {\"cell\": \"Mean age (years) (SD)\", \"bbox\": [2, 30, 84, 40]}, {\"cell\": \"55.3 (±5.9)\", \"bbox\": [166, 26, 206, 42]}, {\"cell\": \"54.2 (±2.8)\", \"bbox\": [275, 26, 316, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 26, 419, 42]}, {\"cell\": \"0.41\", \"bbox\": [482, 30, 498, 40]}, {\"cell\": \"Time since lesion (months)\", \"bbox\": [2, 42, 102, 53]}, {\"cell\": \"32.6 (±17.7)\", \"bbox\": [165, 39, 207, 55]}, {\"cell\": \"37.4 (±19.9)\", \"bbox\": [274, 39, 317, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 39, 418, 55]}, {\"cell\": \"0.29\", \"bbox\": [482, 42, 499, 53]}, {\"cell\": \"BMI (Kg/m<sup>2</sup>)\", \"bbox\": [2, 53, 53, 66]}, {\"cell\": \"30.1 (±5.6)\", \"bbox\": [166, 52, 206, 68]}, {\"cell\": \"29.5 (±6.8)\", \"bbox\": [275, 52, 316, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 52, 419, 68]}, {\"cell\": \"0.69\", \"bbox\": [481, 55, 499, 66]}, {\"cell\": \"Weight (kg)\", \"bbox\": [2, 68, 47, 79]}, {\"cell\": \"73.2 (±10.9)\", \"bbox\": [164, 65, 208, 80]}, {\"cell\": \"75.3 (±11.7)\", \"bbox\": [274, 65, 316, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [378, 65, 420, 80]}, {\"cell\": \"0.26\", \"bbox\": [481, 68, 499, 79]}, {\"cell\": \"Height (m)\", \"bbox\": [2, 81, 45, 92]}, {\"cell\": \"1.5 (±9.36)\", \"bbox\": [167, 78, 206, 93]}, {\"cell\": \"1.6 (±9.5)\", \"bbox\": [278, 78, 313, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 78, 417, 93]}, {\"cell\": \"0.20\", \"bbox\": [482, 81, 499, 92]}, {\"cell\": \"FIM\", \"bbox\": [2, 99, 20, 110]}, {\"cell\": \"Motor\", \"bbox\": [174, 94, 199, 105]}, {\"cell\": \"81 (±5.0)\", \"bbox\": [279, 91, 312, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 91, 419, 106]}, {\"cell\": \"0.03\", \"bbox\": [482, 94, 498, 105]}, {\"cell\": \"Total\", \"bbox\": [176, 106, 196, 117]}, {\"cell\": \"107 (±16.0)\", \"bbox\": [275, 103, 316, 119]}, {\"cell\": \"107 (±8.7)\", \"bbox\": [380, 103, 418, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 106, 498, 117]}, {\"cell\": \"Muscle strength \", \"bbox\": [2, 124, 62, 135]}, {\"cell\": \"Biceps brachial\", \"bbox\": [158, 119, 214, 130]}, {\"cell\": \"3.0 (±0.9)\", \"bbox\": [277, 116, 314, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 116, 417, 131]}, {\"cell\": \"0.4\", \"bbox\": [484, 119, 496, 130]}, {\"cell\": \"Quadriceps\", \"bbox\": [165, 132, 208, 142]}, {\"cell\": \"3.8 (±0.4)\", \"bbox\": [277, 128, 314, 144]}, {\"cell\": \"3.9 (±0.7)\", \"bbox\": [381, 128, 417, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [484, 132, 496, 142]}, {\"cell\": \"Spasticity \", \"bbox\": [2, 150, 39, 160]}, {\"cell\": \"Biceps brachial\", \"bbox\": [158, 144, 214, 155]}, {\"cell\": \"1.2 (±0.7)\", \"bbox\": [278, 141, 313, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [381, 141, 417, 157]}, {\"cell\": \"0.3\", \"bbox\": [484, 144, 496, 155]}, {\"cell\": \"Gastrocnemius\", \"bbox\": [158, 157, 214, 168]}, {\"cell\": \"1.1 (±0.7)\", \"bbox\": [278, 154, 313, 169]}, {\"cell\": \"0.8 (±0.7)\", \"bbox\": [381, 154, 417, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [482, 157, 498, 168]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4637081_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}728{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Strain or Plasmid</b></td><td><b>Relevant Characteristics</b></td><td><b>Reference or Source</b></td></tr></thead><tbody><tr><td><i>Staphylococcus aureus</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>RN4220</td><td>[EMPTY_CELL]</td><td>[26]</td></tr><tr><td>CYL12337</td><td>[EMPTY_CELL]</td><td>This study</td></tr><tr><td>CYL12348</td><td>[EMPTY_CELL]</td><td>This study</td></tr><tr><td>CYL12349</td><td>[EMPTY_CELL]</td><td>This study</td></tr><tr><td>CYL12376</td><td>[EMPTY_CELL]</td><td>This study</td></tr><tr><td><i>E. coli</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>DH5α</td><td>[EMPTY_CELL]</td><td>Invitrogen</td></tr><tr><td>XL1-Blue</td><td>[EMPTY_CELL]</td><td>Stratagene</td></tr><tr><td>Plasmids</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>pCL52.2</td><td>[EMPTY_CELL]</td><td>[27]</td></tr><tr><td>pLL3961</td><td>[EMPTY_CELL]</td><td>This study</td></tr><tr><td>pCL25</td><td>[EMPTY_CELL]</td><td>[2]</td></tr><tr><td>pKOR1</td><td>[EMPTY_CELL]</td><td>[21]</td></tr><tr><td>pYL112Δ19</td><td>[EMPTY_CELL]</td><td>[3]</td></tr><tr><td>pLL102</td><td>[EMPTY_CELL]</td><td>This study</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Strain or Plasmid</b>\", \"bbox\": [1, 4, 62, 12]}, {\"cell\": \"<b>Relevant Characteristics</b>\", \"bbox\": [123, 4, 207, 12]}, {\"cell\": \"<b>Reference or Source</b>\", \"bbox\": [365, 4, 438, 12]}, {\"cell\": \"<i>Staphylococcus aureus</i>\", \"bbox\": [1, 17, 72, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RN4220\", \"bbox\": [1, 30, 27, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 30, 243, 40]}, {\"cell\": \"[26]\", \"bbox\": [365, 30, 379, 40]}, {\"cell\": \"CYL12337\", \"bbox\": [1, 44, 34, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 44, 168, 53]}, {\"cell\": \"This study\", \"bbox\": [366, 44, 400, 53]}, {\"cell\": \"CYL12348\", \"bbox\": [1, 57, 34, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 57, 168, 66]}, {\"cell\": \"This study\", \"bbox\": [366, 57, 400, 66]}, {\"cell\": \"CYL12349\", \"bbox\": [1, 70, 34, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 70, 198, 79]}, {\"cell\": \"This study\", \"bbox\": [366, 70, 400, 79]}, {\"cell\": \"CYL12376\", \"bbox\": [1, 83, 34, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 83, 186, 93]}, {\"cell\": \"This study\", \"bbox\": [366, 83, 400, 93]}, {\"cell\": \"<i>E. coli</i>\", \"bbox\": [1, 96, 20, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DH5α\", \"bbox\": [1, 110, 21, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 110, 267, 119]}, {\"cell\": \"Invitrogen\", \"bbox\": [366, 110, 400, 119]}, {\"cell\": \"XL1-Blue\", \"bbox\": [1, 123, 30, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 123, 267, 132]}, {\"cell\": \"Stratagene\", \"bbox\": [366, 123, 402, 132]}, {\"cell\": \"Plasmids\", \"bbox\": [1, 136, 30, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"pCL52.2\", \"bbox\": [1, 149, 28, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 149, 244, 159]}, {\"cell\": \"[27]\", \"bbox\": [366, 149, 379, 159]}, {\"cell\": \"pLL3961\", \"bbox\": [1, 162, 29, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 162, 315, 172]}, {\"cell\": \"This study\", \"bbox\": [366, 162, 400, 172]}, {\"cell\": \"pCL25\", \"bbox\": [1, 176, 23, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 176, 220, 185]}, {\"cell\": \"[2]\", \"bbox\": [366, 176, 375, 185]}, {\"cell\": \"pKOR1\", \"bbox\": [1, 189, 24, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 189, 253, 198]}, {\"cell\": \"[21]\", \"bbox\": [366, 189, 379, 198]}, {\"cell\": \"pYL112Δ19\", \"bbox\": [1, 202, 38, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 202, 233, 211]}, {\"cell\": \"[3]\", \"bbox\": [366, 202, 375, 211]}, {\"cell\": \"pLL102\", \"bbox\": [1, 215, 25, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 215, 235, 225]}, {\"cell\": \"This study\", \"bbox\": [366, 215, 400, 225]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3274448_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}729{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Parameter</b></td><td colspan=\\\"2\\\"><b>Baltic male cohort study group (<i>n </i>=<i> </i>986)</b></td><td colspan=\\\"2\\\"><b>Estonian idiopathic infertility group (<i>n </i>= 607)</b></td></tr><tr><td><b>Mean ± SD</b></td><td><b>Median (25–75th percentile)</b></td><td><b>Mean ± SD</b></td><td><b>Median (25–75th percentile)</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">A. General characteristics</td></tr><tr><td>Age (years)</td><td>[EMPTY_CELL]</td><td>19.8 (18.5–21.5)</td><td>35.1 ± 5.9</td><td>30.7 (27.1–34.9)</td></tr><tr><td>BMI</td><td>[EMPTY_CELL]</td><td>22.1 (20.7–23.6)</td><td>26.8 ± 4.5a</td><td>26.0 (23.7–29.3)</td></tr><tr><td>Abstinence period (hours)</td><td>[EMPTY_CELL]</td><td>86.0 (63.0–134.0)</td><td>75.3 ± 44.8</td><td>72.0 (48.0–96.0)</td></tr><tr><td>Total testes volume (mL)</td><td>[EMPTY_CELL]</td><td>50.0 (41.0–55.0)</td><td>40.2 ± 10.2</td><td>40.0 (34.0–47.0)</td></tr><tr><td>Sperm concentration (10<sup>6</sup>/mL)</td><td>[EMPTY_CELL]</td><td>63.3 (34.7–105.8)</td><td>8.0 ± 5.9</td><td>7.0 (2.6–13.0)</td></tr><tr><td colspan=\\\"5\\\">B. Genotyping data of V‐LH (Trp8Arg, rs1800447)</td></tr><tr><td colspan=\\\"5\\\">Allele frequencies, % (number of chromosomes)</td></tr><tr><td>A</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>90.7 (1101)</td><td>[EMPTY_CELL]</td></tr><tr><td>G</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9.3 (113)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Genotype frequencies, % (number of genotype carriers)b</td></tr><tr><td>A/A</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>82.4 (500)</td><td>[EMPTY_CELL]</td></tr><tr><td>A/G</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>16.6 (101)</td><td>[EMPTY_CELL]</td></tr><tr><td>G/G</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.0 (6)</td><td>[EMPTY_CELL]</td></tr><tr><td>χ<sup>2</sup> test</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>p </i>=<i> </i>0.27c</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [1, 7, 34, 16]}, {\"cell\": \"<b>Baltic male cohort study group (<i>n </i>=<i> </i>986)</b>\", \"bbox\": [142, 7, 269, 16]}, {\"cell\": \"<b>Estonian idiopathic infertility group (<i>n </i>= 607)</b>\", \"bbox\": [346, 7, 488, 16]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [142, 24, 179, 33]}, {\"cell\": \"<b>Median (25–75th percentile)</b>\", \"bbox\": [222, 24, 312, 33]}, {\"cell\": \"<b>Mean ± SD</b>\", \"bbox\": [346, 24, 385, 33]}, {\"cell\": \"<b>Median (25–75th percentile)</b>\", \"bbox\": [422, 24, 513, 33]}, {\"cell\": \"A. General characteristics\", \"bbox\": [1, 42, 79, 50]}, {\"cell\": \"Age (years)\", \"bbox\": [10, 50, 47, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 50, 182, 59]}, {\"cell\": \"19.8 (18.5–21.5)\", \"bbox\": [222, 50, 276, 59]}, {\"cell\": \"35.1 ± 5.9\", \"bbox\": [346, 50, 383, 59]}, {\"cell\": \"30.7 (27.1–34.9)\", \"bbox\": [422, 50, 477, 59]}, {\"cell\": \"BMI\", \"bbox\": [10, 59, 25, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 59, 182, 68]}, {\"cell\": \"22.1 (20.7–23.6)\", \"bbox\": [222, 59, 276, 68]}, {\"cell\": \"26.8 ± 4.5a\", \"bbox\": [346, 58, 386, 68]}, {\"cell\": \"26.0 (23.7–29.3)\", \"bbox\": [422, 59, 477, 68]}, {\"cell\": \"Abstinence period (hours)\", \"bbox\": [10, 68, 92, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 68, 186, 77]}, {\"cell\": \"86.0 (63.0–134.0)\", \"bbox\": [222, 68, 280, 77]}, {\"cell\": \"75.3 ± 44.8\", \"bbox\": [346, 68, 387, 77]}, {\"cell\": \"72.0 (48.0–96.0)\", \"bbox\": [422, 68, 477, 77]}, {\"cell\": \"Total testes volume (mL)\", \"bbox\": [10, 77, 88, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 77, 186, 86]}, {\"cell\": \"50.0 (41.0–55.0)\", \"bbox\": [222, 77, 276, 86]}, {\"cell\": \"40.2 ± 10.2\", \"bbox\": [346, 77, 387, 86]}, {\"cell\": \"40.0 (34.0–47.0)\", \"bbox\": [422, 77, 477, 86]}, {\"cell\": \"Sperm concentration (10<sup>6</sup>/mL)\", \"bbox\": [10, 85, 107, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 86, 186, 95]}, {\"cell\": \"63.3 (34.7–105.8)\", \"bbox\": [222, 86, 280, 95]}, {\"cell\": \"8.0 ± 5.9\", \"bbox\": [351, 86, 383, 95]}, {\"cell\": \"7.0 (2.6–13.0)\", \"bbox\": [426, 86, 473, 95]}, {\"cell\": \"B. Genotyping data of V‐LH (Trp8Arg, rs1800447)\", \"bbox\": [1, 95, 155, 104]}, {\"cell\": \"Allele frequencies, % (number of chromosomes)\", \"bbox\": [10, 104, 160, 113]}, {\"cell\": \"A\", \"bbox\": [17, 113, 24, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 113, 187, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"90.7 (1101)\", \"bbox\": [349, 113, 388, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G\", \"bbox\": [17, 122, 24, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 122, 183, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9.3 (113)\", \"bbox\": [353, 122, 384, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Genotype frequencies, % (number of genotype carriers)b\", \"bbox\": [10, 130, 187, 140]}, {\"cell\": \"A/A\", \"bbox\": [17, 140, 31, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 140, 183, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"82.4 (500)\", \"bbox\": [349, 140, 384, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A/G\", \"bbox\": [17, 149, 31, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 149, 183, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16.6 (101)\", \"bbox\": [349, 149, 384, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G/G\", \"bbox\": [17, 158, 32, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 158, 179, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.0 (6)\", \"bbox\": [353, 158, 376, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"χ<sup>2</sup> test\", \"bbox\": [17, 166, 39, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>p </i>=<i> </i>0.27c\", \"bbox\": [346, 166, 378, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4832392_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}730{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>DALY Rank</b></td><td><b>Disease</b></td><td><b>Percent of total DALYs</b></td><td><b>Percent of total YLL</b></td><td><b>Percent of total YLD</b></td></tr></thead><tbody><tr><td>1</td><td>Unipolar depressive disorders</td><td>[EMPTY_CELL]</td><td>0.0</td><td>12.0</td></tr><tr><td>2</td><td>Road traffic accidents</td><td>[EMPTY_CELL]</td><td>11.3</td><td>2.9</td></tr><tr><td>3</td><td>Ischemic heart disease</td><td>[EMPTY_CELL]</td><td>11.6</td><td>-</td></tr><tr><td>4</td><td>Lower respiratory infections</td><td>[EMPTY_CELL]</td><td>10.2</td><td>-</td></tr><tr><td>5</td><td>Hearing loss, adult onset</td><td>[EMPTY_CELL]</td><td>-</td><td>7.1</td></tr><tr><td>6</td><td>Diabetes mellitus</td><td>[EMPTY_CELL]</td><td>3.3</td><td>4.1</td></tr><tr><td>7</td><td>Conditions arising during the perinatal period</td><td>[EMPTY_CELL]</td><td>5.1</td><td>-</td></tr><tr><td>8</td><td>Congenital anomalies</td><td>[EMPTY_CELL]</td><td>3.6</td><td>-</td></tr><tr><td>9</td><td>Drug use disorders</td><td>[EMPTY_CELL]</td><td>-</td><td>3.9</td></tr><tr><td>10</td><td>Hypertensive heart disease</td><td>[EMPTY_CELL]</td><td>4.4</td><td>-</td></tr><tr><td>11</td><td>Self-inflicted injuries</td><td>[EMPTY_CELL]</td><td>2.6</td><td>-</td></tr><tr><td>12</td><td>Cerebrovascular disease</td><td>[EMPTY_CELL]</td><td>2.3</td><td>-</td></tr><tr><td>13</td><td>Breast cancer</td><td>[EMPTY_CELL]</td><td>1.8</td><td>-</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>DALY Rank</b>\", \"bbox\": [7, 4, 33, 23]}, {\"cell\": \"<b>Disease</b>\", \"bbox\": [52, 10, 82, 18]}, {\"cell\": \"<b>Percent of total DALYs</b>\", \"bbox\": [232, 4, 282, 23]}, {\"cell\": \"<b>Percent of total YLL</b>\", \"bbox\": [295, 4, 337, 23]}, {\"cell\": \"<b>Percent of total YLD</b>\", \"bbox\": [352, 4, 393, 23]}, {\"cell\": \"1\", \"bbox\": [7, 29, 13, 40]}, {\"cell\": \"Unipolar depressive disorders\", \"bbox\": [52, 29, 161, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 29, 245, 40]}, {\"cell\": \"0.0\", \"bbox\": [296, 29, 309, 40]}, {\"cell\": \"12.0\", \"bbox\": [352, 29, 370, 40]}, {\"cell\": \"2\", \"bbox\": [7, 43, 13, 53]}, {\"cell\": \"Road traffic accidents\", \"bbox\": [52, 43, 132, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 43, 245, 53]}, {\"cell\": \"11.3\", \"bbox\": [296, 43, 313, 53]}, {\"cell\": \"2.9\", \"bbox\": [352, 43, 365, 53]}, {\"cell\": \"3\", \"bbox\": [7, 57, 13, 67]}, {\"cell\": \"Ischemic heart disease\", \"bbox\": [52, 57, 135, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 57, 245, 67]}, {\"cell\": \"11.6\", \"bbox\": [295, 57, 313, 67]}, {\"cell\": \"-\", \"bbox\": [352, 57, 357, 67]}, {\"cell\": \"4\", \"bbox\": [7, 71, 13, 81]}, {\"cell\": \"Lower respiratory infections\", \"bbox\": [52, 71, 156, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 71, 245, 81]}, {\"cell\": \"10.2\", \"bbox\": [295, 71, 313, 81]}, {\"cell\": \"-\", \"bbox\": [352, 71, 357, 81]}, {\"cell\": \"5\", \"bbox\": [7, 85, 13, 95]}, {\"cell\": \"Hearing loss, adult onset\", \"bbox\": [52, 85, 143, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 85, 245, 95]}, {\"cell\": \"-\", \"bbox\": [296, 85, 301, 95]}, {\"cell\": \"7.1\", \"bbox\": [352, 85, 366, 95]}, {\"cell\": \"6\", \"bbox\": [7, 98, 13, 109]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [52, 98, 116, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 98, 245, 109]}, {\"cell\": \"3.3\", \"bbox\": [296, 98, 309, 109]}, {\"cell\": \"4.1\", \"bbox\": [352, 98, 365, 109]}, {\"cell\": \"7\", \"bbox\": [7, 112, 13, 122]}, {\"cell\": \"Conditions arising during the perinatal period\", \"bbox\": [52, 112, 218, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 112, 245, 122]}, {\"cell\": \"5.1\", \"bbox\": [295, 112, 309, 122]}, {\"cell\": \"-\", \"bbox\": [352, 112, 357, 122]}, {\"cell\": \"8\", \"bbox\": [7, 126, 13, 136]}, {\"cell\": \"Congenital anomalies\", \"bbox\": [52, 126, 132, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 126, 245, 136]}, {\"cell\": \"3.6\", \"bbox\": [295, 126, 309, 136]}, {\"cell\": \"-\", \"bbox\": [352, 126, 357, 136]}, {\"cell\": \"9\", \"bbox\": [7, 140, 13, 150]}, {\"cell\": \"Drug use disorders\", \"bbox\": [52, 140, 122, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 140, 245, 150]}, {\"cell\": \"-\", \"bbox\": [295, 140, 300, 150]}, {\"cell\": \"3.9\", \"bbox\": [352, 140, 365, 150]}, {\"cell\": \"10\", \"bbox\": [7, 154, 18, 164]}, {\"cell\": \"Hypertensive heart disease\", \"bbox\": [52, 154, 150, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 154, 245, 164]}, {\"cell\": \"4.4\", \"bbox\": [296, 154, 309, 164]}, {\"cell\": \"-\", \"bbox\": [352, 154, 357, 164]}, {\"cell\": \"11\", \"bbox\": [7, 167, 17, 178]}, {\"cell\": \"Self-inflicted injuries\", \"bbox\": [52, 167, 130, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 167, 237, 178]}, {\"cell\": \"2.6\", \"bbox\": [296, 167, 309, 178]}, {\"cell\": \"-\", \"bbox\": [352, 167, 357, 178]}, {\"cell\": \"12\", \"bbox\": [7, 181, 18, 191]}, {\"cell\": \"Cerebrovascular disease\", \"bbox\": [52, 181, 141, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 181, 237, 191]}, {\"cell\": \"2.3\", \"bbox\": [295, 181, 309, 191]}, {\"cell\": \"-\", \"bbox\": [352, 181, 357, 191]}, {\"cell\": \"13\", \"bbox\": [7, 195, 18, 205]}, {\"cell\": \"Breast cancer\", \"bbox\": [52, 195, 102, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 195, 237, 205]}, {\"cell\": \"1.8\", \"bbox\": [295, 195, 309, 205]}, {\"cell\": \"-\", \"bbox\": [352, 195, 357, 205]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4776792_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}731{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Control HHs (N = 117)</b></td><td colspan=\\\"2\\\"><b>Case HHs (N = 117)</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\"><b>Age in years</b></td><td>mean (SD)</td><td>37.5</td><td>(12.5)</td><td>38.6</td><td>(11.7)</td><td>0.49</td></tr><tr><td colspan=\\\"2\\\"><b>Gender</b></td><td>n (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>Female</td><td>[EMPTY_CELL]</td><td>72</td><td>(61.5)</td><td>70</td><td>(59.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Male</td><td>[EMPTY_CELL]</td><td>45</td><td>(38.5)</td><td>47</td><td>(40.2)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"><b>Education</b></td><td>n (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"5\\\">[EMPTY_CELL]</td><td>None</td><td>[EMPTY_CELL]</td><td>3</td><td>(2.6)</td><td>5</td><td>(4.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Incomplete primary</td><td>[EMPTY_CELL]</td><td>11</td><td>(9.4)</td><td>19</td><td>(16.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Complete primary</td><td>[EMPTY_CELL]</td><td>48</td><td>(41.0)</td><td>45</td><td>(38.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>Secondary</td><td>[EMPTY_CELL]</td><td>49</td><td>(41.9)</td><td>44</td><td>(37.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>Superior, university</td><td>[EMPTY_CELL]</td><td>6</td><td>(5.1)</td><td>4</td><td>(3.4)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"><b>Current economic activity</b></td><td>n (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"8\\\">[EMPTY_CELL]</td><td>None</td><td>[EMPTY_CELL]</td><td>9</td><td>(7.8)</td><td>9</td><td>(7.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Farmer</td><td>[EMPTY_CELL]</td><td>2</td><td>(1.7)</td><td>6</td><td>(5.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Trader</td><td>[EMPTY_CELL]</td><td>16</td><td>(13.8)</td><td>13</td><td>(11.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Moto driver</td><td>[EMPTY_CELL]</td><td>8</td><td>(6.9)</td><td>8</td><td>(6.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Hand labourer</td><td>[EMPTY_CELL]</td><td>20</td><td>(17.2)</td><td>22</td><td>(18.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Housewife</td><td>[EMPTY_CELL]</td><td>57</td><td>(49.1)</td><td>54</td><td>(46.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Other</td><td>[EMPTY_CELL]</td><td>4</td><td>(3.4)</td><td>5</td><td>(4.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Missing</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"><b>Monthly income amount*</b></td><td>n (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>None</td><td>[EMPTY_CELL]</td><td>61</td><td>(55)</td><td>64</td><td>(56.6)</td><td>[EMPTY_CELL]</td></tr><tr><td><125 USD</td><td>[EMPTY_CELL]</td><td>18</td><td>(16.2)</td><td>16</td><td>(14.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>≥125 USD</td><td>[EMPTY_CELL]</td><td>32</td><td>(28.8)</td><td>33</td><td>(29.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Missing</td><td>[EMPTY_CELL]</td><td>6</td><td>[EMPTY_CELL]</td><td>4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Control HHs (N = 117)</b>\", \"bbox\": [118, 4, 162, 22]}, {\"cell\": \"<b>Case HHs (N = 117)</b>\", \"bbox\": [166, 4, 201, 22]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [209, 4, 236, 13]}, {\"cell\": \"<b>Age in years</b>\", \"bbox\": [1, 26, 46, 36]}, {\"cell\": \"mean (SD)\", \"bbox\": [79, 26, 114, 36]}, {\"cell\": \"37.5\", \"bbox\": [118, 26, 133, 36]}, {\"cell\": \"(12.5)\", \"bbox\": [140, 26, 159, 36]}, {\"cell\": \"38.6\", \"bbox\": [166, 26, 181, 36]}, {\"cell\": \"(11.7)\", \"bbox\": [185, 26, 204, 36]}, {\"cell\": \"0.49\", \"bbox\": [209, 26, 224, 36]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [1, 40, 28, 50]}, {\"cell\": \"n (%)\", \"bbox\": [79, 40, 97, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [10, 54, 35, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"72\", \"bbox\": [118, 54, 128, 64]}, {\"cell\": \"(61.5)\", \"bbox\": [140, 54, 159, 64]}, {\"cell\": \"70\", \"bbox\": [166, 54, 176, 64]}, {\"cell\": \"(59.8)\", \"bbox\": [185, 54, 204, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 54, 224, 64]}, {\"cell\": \"Male\", \"bbox\": [10, 68, 27, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"45\", \"bbox\": [118, 68, 128, 78]}, {\"cell\": \"(38.5)\", \"bbox\": [140, 68, 159, 78]}, {\"cell\": \"47\", \"bbox\": [166, 68, 176, 78]}, {\"cell\": \"(40.2)\", \"bbox\": [185, 68, 204, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Education</b>\", \"bbox\": [1, 82, 37, 92]}, {\"cell\": \"n (%)\", \"bbox\": [79, 82, 97, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [10, 96, 29, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [118, 96, 124, 106]}, {\"cell\": \"(2.6)\", \"bbox\": [140, 96, 155, 106]}, {\"cell\": \"5\", \"bbox\": [166, 96, 172, 106]}, {\"cell\": \"(4.3)\", \"bbox\": [185, 96, 200, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 96, 224, 106]}, {\"cell\": \"Incomplete primary\", \"bbox\": [10, 110, 74, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11\", \"bbox\": [118, 110, 128, 120]}, {\"cell\": \"(9.4)\", \"bbox\": [140, 110, 155, 120]}, {\"cell\": \"19\", \"bbox\": [166, 110, 176, 120]}, {\"cell\": \"(16.2)\", \"bbox\": [185, 110, 204, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Complete primary\", \"bbox\": [10, 124, 69, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"48\", \"bbox\": [118, 124, 128, 134]}, {\"cell\": \"(41.0)\", \"bbox\": [140, 124, 159, 134]}, {\"cell\": \"45\", \"bbox\": [166, 124, 176, 134]}, {\"cell\": \"(38.5)\", \"bbox\": [185, 124, 204, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Secondary\", \"bbox\": [10, 138, 45, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"49\", \"bbox\": [118, 138, 128, 148]}, {\"cell\": \"(41.9)\", \"bbox\": [140, 138, 159, 148]}, {\"cell\": \"44\", \"bbox\": [166, 138, 176, 148]}, {\"cell\": \"(37.6)\", \"bbox\": [185, 138, 204, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Superior, university\", \"bbox\": [10, 152, 72, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [118, 152, 124, 162]}, {\"cell\": \"(5.1)\", \"bbox\": [140, 152, 155, 162]}, {\"cell\": \"4\", \"bbox\": [166, 152, 172, 162]}, {\"cell\": \"(3.4)\", \"bbox\": [185, 152, 200, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Current economic activity</b>\", \"bbox\": [1, 166, 64, 185]}, {\"cell\": \"n (%)\", \"bbox\": [79, 166, 97, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [10, 189, 29, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [118, 189, 124, 199]}, {\"cell\": \"(7.8)\", \"bbox\": [140, 189, 155, 199]}, {\"cell\": \"9\", \"bbox\": [166, 189, 172, 199]}, {\"cell\": \"(7.7)\", \"bbox\": [185, 189, 200, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 189, 223, 199]}, {\"cell\": \"Farmer\", \"bbox\": [10, 203, 34, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [118, 203, 124, 213]}, {\"cell\": \"(1.7)\", \"bbox\": [140, 203, 155, 213]}, {\"cell\": \"6\", \"bbox\": [166, 203, 172, 213]}, {\"cell\": \"(5.1)\", \"bbox\": [185, 203, 200, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Trader\", \"bbox\": [10, 217, 32, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16\", \"bbox\": [118, 217, 128, 227]}, {\"cell\": \"(13.8)\", \"bbox\": [140, 217, 159, 227]}, {\"cell\": \"13\", \"bbox\": [166, 217, 176, 227]}, {\"cell\": \"(11.1)\", \"bbox\": [185, 217, 204, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Moto driver\", \"bbox\": [10, 231, 49, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [118, 231, 124, 241]}, {\"cell\": \"(6.9)\", \"bbox\": [140, 231, 155, 241]}, {\"cell\": \"8\", \"bbox\": [166, 231, 172, 241]}, {\"cell\": \"(6.8)\", \"bbox\": [185, 231, 200, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Hand labourer\", \"bbox\": [10, 245, 58, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [118, 245, 128, 255]}, {\"cell\": \"(17.2)\", \"bbox\": [140, 245, 159, 255]}, {\"cell\": \"22\", \"bbox\": [166, 245, 176, 255]}, {\"cell\": \"(18.8)\", \"bbox\": [185, 245, 204, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Housewife\", \"bbox\": [10, 259, 45, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"57\", \"bbox\": [118, 259, 128, 269]}, {\"cell\": \"(49.1)\", \"bbox\": [140, 259, 159, 269]}, {\"cell\": \"54\", \"bbox\": [166, 259, 176, 269]}, {\"cell\": \"(46.2)\", \"bbox\": [185, 259, 204, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other\", \"bbox\": [10, 273, 30, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [118, 273, 124, 283]}, {\"cell\": \"(3.4)\", \"bbox\": [140, 273, 155, 283]}, {\"cell\": \"5\", \"bbox\": [166, 273, 172, 283]}, {\"cell\": \"(4.3)\", \"bbox\": [185, 273, 200, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Missing\", \"bbox\": [10, 287, 36, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [118, 287, 124, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Monthly income amount*</b>\", \"bbox\": [0, 301, 59, 320]}, {\"cell\": \"n (%)\", \"bbox\": [79, 301, 97, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"None\", \"bbox\": [10, 324, 29, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"61\", \"bbox\": [118, 324, 128, 334]}, {\"cell\": \"(55)\", \"bbox\": [140, 324, 154, 334]}, {\"cell\": \"64\", \"bbox\": [166, 324, 176, 334]}, {\"cell\": \"(56.6)\", \"bbox\": [185, 324, 204, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 324, 223, 334]}, {\"cell\": \"<125 USD\", \"bbox\": [10, 338, 44, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18\", \"bbox\": [118, 338, 128, 348]}, {\"cell\": \"(16.2)\", \"bbox\": [140, 338, 159, 348]}, {\"cell\": \"16\", \"bbox\": [166, 338, 176, 348]}, {\"cell\": \"(14.2)\", \"bbox\": [185, 338, 204, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥125 USD\", \"bbox\": [10, 352, 45, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"32\", \"bbox\": [118, 352, 128, 362]}, {\"cell\": \"(28.8)\", \"bbox\": [140, 352, 159, 362]}, {\"cell\": \"33\", \"bbox\": [166, 352, 176, 362]}, {\"cell\": \"(29.2)\", \"bbox\": [185, 352, 204, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Missing\", \"bbox\": [10, 366, 36, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [118, 366, 124, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [166, 366, 172, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4416302_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}732{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene class</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td><b>Ribosomal RNAs</b></td><td>[EMPTY_CELL]</td><td><i>rrn5 </i>x2</td><td><i>rrn16 </i>x2</td><td><i>rrn23 </i>x2</td></tr><tr><td><b>Transfer RNAs</b></td><td>[EMPTY_CELL]</td><td><i>trnC-GCA</i></td><td><i>trnD-GUC</i></td><td><i>trnE-UUC</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>trnG-GCC</i></td><td><i>trnG-UCC</i>*</td><td><i>trnH-GUG</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>trnI-GAU</i>* x2</td><td><i>trnK-UUU</i>*</td><td><i>trnL-CAA</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>trnL-UAG</i></td><td><i>trnM-CAU</i></td><td><i>trnfM-CAU</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>trnP-GGG</i></td><td><i>trnP-UGG</i></td><td><i>trnQ-UUG</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>trnR-CCG </i>c</td><td><i>trnR-UCU</i></td><td><i>trnS-CGA </i>in <i>Ea</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>trnS-GGA</i></td><td><i>trnS-UGA</i></td><td><i>trnT-GGU</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>trnV-GAC </i>x2</td><td><i>trnV-UAC</i>*</td><td><i>trnW-CCA</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Photosystem I</b></td><td>[EMPTY_CELL]</td><td><b><i>psaB </i></b>b</td><td><b><i>psaC</i></b></td><td><b><i>psaI </i></b>b</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>psaM</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Photosystem II</b></td><td>[EMPTY_CELL]</td><td><b><i>psbB</i></b></td><td><b><i>psbC</i></b></td><td><b><i>psbD</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>psbF</i></b></td><td><b><i>psbH </i></b>b</td><td><b><i>psbI</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>psbK</i></b></td><td><b><i>psbL </i></b>b</td><td><b><i>psbM</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>psbT </i></b>b</td><td><b><i>psbZ</i></b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Cytochrome</b></td><td>[EMPTY_CELL]</td><td><b><i>petB</i></b>* b, e</td><td><b><i>petD</i></b>* b, e</td><td><b><i>petG </i></b>b</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>petN </i>b</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>ATP synthase</b></td><td>[EMPTY_CELL]</td><td><b><i>atpB</i></b></td><td><b><i>atpE</i></b></td><td><b><i>atpF</i></b>*</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>atpI </i></b>b</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Rubisco</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Chlorophyll biosynthesis</b></td><td>[EMPTY_CELL]</td><td><i>chlL </i>b</td><td><i>chlN</i></td><td>[EMPTY_CELL]</td></tr><tr><td><b>NADH dehydrogenase</b></td><td>[EMPTY_CELL]</td><td><i>ndhB</i>*</td><td><i>ndhC</i></td><td><i>ndhD </i>b, i</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>ndhF </i>i</td><td><i>ndhG</i></td><td><i>ndhH </i>b</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>ndhJ </i>i, e</td><td><i>ndhK</i></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Ribosomal proteins</b></td><td>[EMPTY_CELL]</td><td><b><i>rpl14 </i></b>b, i, e</td><td><b><i>rpl16</i></b>*</td><td><b><i>rpl20 </i></b>b</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>rpl22</i></td><td><i>rpl23</i></td><td><i>rpl32</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>rpl36</i></b></td><td><i>rps2 </i>ψ (If)</td><td><b><i>rps3</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>rps7 </i></b>x2 in <i>If</i></td><td><b><i>rps8 </i></b>b</td><td><b><i>rps11 </i></b>b, s</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>rps14</i></b></td><td><i>rps15</i></td><td><i>rps16 </i>ψ in <i>If</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>rps19</i></b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>RNA polymerase</b></td><td>[EMPTY_CELL]</td><td><b><i>rpoB </i></b>i</td><td><b><i>rpoC1</i></b>* i</td><td><i>rpoC2 </i>i</td></tr><tr><td><b>Miscellaneous proteins</b></td><td>[EMPTY_CELL]</td><td><i>ccsA </i>b</td><td><i>matK</i></td><td><i>clpP</i>*</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>cemA </i>i</td><td><i>tufA </i>ψ in <i>If</i></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Hypothetical proteins</b></td><td>[EMPTY_CELL]</td><td><i>ycf2 </i>i</td><td><b><i>ycf3</i></b>*</td><td><b><i>ycf4 </i></b>b</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>ycf66</i>* ψ (<i>Ea</i>)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Duplicate gene fragments</b></td><td>[EMPTY_CELL]</td><td><i>ycf2 </i>IR in <i>If</i></td><td><i>ndhF </i>IR in <i>Ea</i></td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene class</b>\", \"bbox\": [1, 4, 39, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Ribosomal RNAs</b>\", \"bbox\": [1, 17, 59, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 17, 165, 27]}, {\"cell\": \"<i>rrn5 </i>x2\", \"bbox\": [225, 17, 249, 27]}, {\"cell\": \"<i>rrn16 </i>x2\", \"bbox\": [310, 17, 338, 27]}, {\"cell\": \"<i>rrn23 </i>x2\", \"bbox\": [397, 17, 425, 27]}, {\"cell\": \"<b>Transfer RNAs</b>\", \"bbox\": [1, 29, 51, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 29, 179, 39]}, {\"cell\": \"<i>trnC-GCA</i>\", \"bbox\": [225, 29, 255, 39]}, {\"cell\": \"<i>trnD-GUC</i>\", \"bbox\": [310, 29, 342, 39]}, {\"cell\": \"<i>trnE-UUC</i>\", \"bbox\": [397, 29, 428, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 41, 165, 51]}, {\"cell\": \"<i>trnG-GCC</i>\", \"bbox\": [225, 41, 255, 51]}, {\"cell\": \"<i>trnG-UCC</i>*\", \"bbox\": [310, 41, 344, 51]}, {\"cell\": \"<i>trnH-GUG</i>\", \"bbox\": [397, 41, 429, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 53, 163, 63]}, {\"cell\": \"<i>trnI-GAU</i>* x2\", \"bbox\": [225, 53, 266, 63]}, {\"cell\": \"<i>trnK-UUU</i>*\", \"bbox\": [310, 53, 344, 63]}, {\"cell\": \"<i>trnL-CAA</i>\", \"bbox\": [397, 53, 426, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 65, 168, 74]}, {\"cell\": \"<i>trnL-UAG</i>\", \"bbox\": [225, 65, 254, 74]}, {\"cell\": \"<i>trnM-CAU</i>\", \"bbox\": [310, 65, 342, 74]}, {\"cell\": \"<i>trnfM-CAU</i>\", \"bbox\": [397, 65, 432, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 77, 177, 86]}, {\"cell\": \"<i>trnP-GGG</i>\", \"bbox\": [225, 77, 255, 86]}, {\"cell\": \"<i>trnP-UGG</i>\", \"bbox\": [310, 77, 341, 86]}, {\"cell\": \"<i>trnQ-UUG</i>\", \"bbox\": [397, 77, 430, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 89, 175, 98]}, {\"cell\": \"<i>trnR-CCG </i>c\", \"bbox\": [225, 89, 261, 98]}, {\"cell\": \"<i>trnR-UCU</i>\", \"bbox\": [310, 89, 341, 98]}, {\"cell\": \"<i>trnS-CGA </i>in <i>Ea</i>\", \"bbox\": [397, 89, 446, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 101, 166, 110]}, {\"cell\": \"<i>trnS-GGA</i>\", \"bbox\": [225, 101, 255, 110]}, {\"cell\": \"<i>trnS-UGA</i>\", \"bbox\": [310, 101, 340, 110]}, {\"cell\": \"<i>trnT-GGU</i>\", \"bbox\": [397, 101, 428, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 113, 166, 122]}, {\"cell\": \"<i>trnV-GAC </i>x2\", \"bbox\": [225, 113, 264, 122]}, {\"cell\": \"<i>trnV-UAC</i>*\", \"bbox\": [310, 113, 343, 122]}, {\"cell\": \"<i>trnW-CCA</i>\", \"bbox\": [397, 113, 429, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 125, 166, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Photosystem I</b>\", \"bbox\": [1, 137, 52, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 137, 154, 146]}, {\"cell\": \"<b><i>psaB </i></b>b\", \"bbox\": [225, 137, 250, 146]}, {\"cell\": \"<b><i>psaC</i></b>\", \"bbox\": [310, 137, 328, 146]}, {\"cell\": \"<b><i>psaI </i></b>b\", \"bbox\": [397, 137, 420, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 149, 152, 158]}, {\"cell\": \"<i>psaM</i>\", \"bbox\": [225, 149, 243, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Photosystem II</b>\", \"bbox\": [1, 161, 54, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 161, 154, 170]}, {\"cell\": \"<b><i>psbB</i></b>\", \"bbox\": [225, 161, 243, 170]}, {\"cell\": \"<b><i>psbC</i></b>\", \"bbox\": [310, 161, 328, 170]}, {\"cell\": \"<b><i>psbD</i></b>\", \"bbox\": [397, 161, 416, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 173, 153, 182]}, {\"cell\": \"<b><i>psbF</i></b>\", \"bbox\": [225, 173, 242, 182]}, {\"cell\": \"<b><i>psbH </i></b>b\", \"bbox\": [310, 173, 336, 182]}, {\"cell\": \"<b><i>psbI</i></b>\", \"bbox\": [397, 173, 413, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 185, 152, 194]}, {\"cell\": \"<b><i>psbK</i></b>\", \"bbox\": [225, 185, 243, 194]}, {\"cell\": \"<b><i>psbL </i></b>b\", \"bbox\": [310, 185, 335, 194]}, {\"cell\": \"<b><i>psbM</i></b>\", \"bbox\": [397, 185, 417, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 197, 155, 206]}, {\"cell\": \"<b><i>psbT </i></b>b\", \"bbox\": [225, 197, 249, 206]}, {\"cell\": \"<b><i>psbZ</i></b>\", \"bbox\": [310, 197, 328, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Cytochrome</b>\", \"bbox\": [1, 208, 44, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 208, 153, 218]}, {\"cell\": \"<b><i>petB</i></b>* b, e\", \"bbox\": [225, 208, 260, 218]}, {\"cell\": \"<b><i>petD</i></b>* b, e\", \"bbox\": [310, 208, 346, 218]}, {\"cell\": \"<b><i>petG </i></b>b\", \"bbox\": [397, 208, 422, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 220, 152, 230]}, {\"cell\": \"<i>petN </i>b\", \"bbox\": [225, 220, 248, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ATP synthase</b>\", \"bbox\": [1, 232, 49, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 232, 154, 242]}, {\"cell\": \"<b><i>atpB</i></b>\", \"bbox\": [225, 232, 242, 242]}, {\"cell\": \"<b><i>atpE</i></b>\", \"bbox\": [310, 232, 327, 242]}, {\"cell\": \"<b><i>atpF</i></b>*\", \"bbox\": [397, 232, 417, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 244, 154, 254]}, {\"cell\": \"<b><i>atpI </i></b>b\", \"bbox\": [225, 244, 247, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Rubisco</b>\", \"bbox\": [1, 256, 29, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 256, 159, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Chlorophyll biosynthesis</b>\", \"bbox\": [1, 268, 88, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 268, 150, 278]}, {\"cell\": \"<i>chlL </i>b\", \"bbox\": [225, 268, 246, 278]}, {\"cell\": \"<i>chlN</i>\", \"bbox\": [310, 268, 326, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>NADH dehydrogenase</b>\", \"bbox\": [1, 280, 80, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 280, 164, 290]}, {\"cell\": \"<i>ndhB</i>*\", \"bbox\": [225, 280, 246, 290]}, {\"cell\": \"<i>ndhC</i>\", \"bbox\": [310, 280, 328, 290]}, {\"cell\": \"<i>ndhD </i>b, i\", \"bbox\": [397, 280, 429, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 292, 153, 302]}, {\"cell\": \"<i>ndhF </i>i\", \"bbox\": [225, 292, 246, 302]}, {\"cell\": \"<i>ndhG</i>\", \"bbox\": [310, 292, 329, 302]}, {\"cell\": \"<i>ndhH </i>b\", \"bbox\": [397, 292, 423, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 304, 151, 314]}, {\"cell\": \"<i>ndhJ </i>i, e\", \"bbox\": [225, 304, 254, 314]}, {\"cell\": \"<i>ndhK</i>\", \"bbox\": [310, 304, 328, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Ribosomal proteins</b>\", \"bbox\": [1, 316, 70, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 316, 154, 326]}, {\"cell\": \"<b><i>rpl14 </i></b>b, i, e\", \"bbox\": [225, 316, 264, 326]}, {\"cell\": \"<b><i>rpl16</i></b>*\", \"bbox\": [310, 316, 332, 326]}, {\"cell\": \"<b><i>rpl20 </i></b>b\", \"bbox\": [397, 316, 423, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 328, 157, 337]}, {\"cell\": \"<i>rpl22</i>\", \"bbox\": [225, 328, 242, 337]}, {\"cell\": \"<i>rpl23</i>\", \"bbox\": [310, 328, 327, 337]}, {\"cell\": \"<i>rpl32</i>\", \"bbox\": [397, 328, 415, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 340, 153, 349]}, {\"cell\": \"<b><i>rpl36</i></b>\", \"bbox\": [225, 340, 244, 349]}, {\"cell\": \"<i>rps2 </i>ψ (If)\", \"bbox\": [310, 340, 344, 349]}, {\"cell\": \"<b><i>rps3</i></b>\", \"bbox\": [397, 340, 414, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 352, 159, 361]}, {\"cell\": \"<b><i>rps7 </i></b>x2 in <i>If</i>\", \"bbox\": [225, 352, 266, 361]}, {\"cell\": \"<b><i>rps8 </i></b>b\", \"bbox\": [310, 352, 333, 361]}, {\"cell\": \"<b><i>rps11 </i></b>b, s\", \"bbox\": [397, 352, 432, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 364, 171, 373]}, {\"cell\": \"<b><i>rps14</i></b>\", \"bbox\": [225, 364, 245, 373]}, {\"cell\": \"<i>rps15</i>\", \"bbox\": [310, 364, 328, 373]}, {\"cell\": \"<i>rps16 </i>ψ in <i>If</i>\", \"bbox\": [397, 364, 438, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 376, 156, 385]}, {\"cell\": \"<b><i>rps19</i></b>\", \"bbox\": [225, 376, 245, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>RNA polymerase</b>\", \"bbox\": [1, 388, 60, 397]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 388, 156, 397]}, {\"cell\": \"<b><i>rpoB </i></b>i\", \"bbox\": [225, 388, 247, 397]}, {\"cell\": \"<b><i>rpoC1</i></b>* i\", \"bbox\": [310, 388, 339, 397]}, {\"cell\": \"<i>rpoC2 </i>i\", \"bbox\": [397, 388, 422, 397]}, {\"cell\": \"<b>Miscellaneous proteins</b>\", \"bbox\": [1, 400, 82, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 400, 169, 409]}, {\"cell\": \"<i>ccsA </i>b\", \"bbox\": [225, 400, 247, 409]}, {\"cell\": \"<i>matK</i>\", \"bbox\": [310, 400, 328, 409]}, {\"cell\": \"<i>clpP</i>*\", \"bbox\": [397, 400, 415, 409]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 412, 182, 421]}, {\"cell\": \"<i>cemA </i>i\", \"bbox\": [225, 412, 248, 421]}, {\"cell\": \"<i>tufA </i>ψ in <i>If</i>\", \"bbox\": [310, 412, 347, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Hypothetical proteins</b>\", \"bbox\": [1, 424, 78, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 424, 157, 433]}, {\"cell\": \"<i>ycf2 </i>i\", \"bbox\": [225, 424, 243, 433]}, {\"cell\": \"<b><i>ycf3</i></b>*\", \"bbox\": [310, 424, 329, 433]}, {\"cell\": \"<b><i>ycf4 </i></b>b\", \"bbox\": [397, 424, 420, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 436, 153, 445]}, {\"cell\": \"<i>ycf66</i>* ψ (<i>Ea</i>)\", \"bbox\": [225, 436, 267, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Duplicate gene fragments</b>\", \"bbox\": [0, 448, 93, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 448, 176, 457]}, {\"cell\": \"<i>ycf2 </i>IR in <i>If</i>\", \"bbox\": [225, 448, 262, 457]}, {\"cell\": \"<i>ndhF </i>IR in <i>Ea</i>\", \"bbox\": [310, 448, 355, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3087542_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}733{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Exclusion power <i>P</i><sub><i>u</i></sub></b></td></tr><tr><td><b>Type of markers</b></td><td><b>Size of factorial design (<i>N</i><sub><i>f </i></sub>x <i>N</i><sub><i>m</i></sub>)</b></td><td><b>Alleles/ locus<sup>a</sup></b></td><td><b>Number of loci</b></td><td><b>Predicted (Eq.2)*</b></td><td><b>Simulated</b></td><td><b>Predicted (Eq.7)**</b></td></tr></thead><tbody><tr><td>Idealized markers (equally frequent alleles)</td><td>10x10</td><td>5</td><td>3</td><td>0.3064</td><td>0.2123</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10x10</td><td>5</td><td>6</td><td>0.9861</td><td>0.9163</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10x10</td><td>5</td><td>9</td><td>0.9998</td><td>0.9947</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10x10</td><td>5</td><td>12</td><td>1.0000</td><td>0.9997</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10x10</td><td>10</td><td>3</td><td>0.9690</td><td>0.8448</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10x10</td><td>10</td><td>6</td><td>1.0000</td><td>0.9987</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20x20</td><td>5</td><td>3</td><td>0.0085</td><td>0.0321</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20x20</td><td>5</td><td>6</td><td>0.9453</td><td>0.8143</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20x20</td><td>5</td><td>9</td><td>0.9993</td><td>0.9884</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20x20</td><td>5</td><td>12</td><td>1.0000</td><td>0.9993</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20x20</td><td>10</td><td>3</td><td>0.8810</td><td>0.6717</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20x20</td><td>10</td><td>6</td><td>1.0000</td><td>0.9972</td><td>[EMPTY_CELL]</td></tr><tr><td>Real microsatellites</td><td>76x13</td><td>20.1</td><td>8</td><td>1.0000</td><td>0.9994</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>75x26</td><td>21.7</td><td>6</td><td>0.9999</td><td>0.9934</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>41x8</td><td>19.3</td><td>6</td><td>0.9999</td><td>0.9928</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20x2</td><td>16.3</td><td>4</td><td>0.9986</td><td>0.9465</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>147x8</td><td>7.5</td><td>8</td><td>0.9911</td><td>0.8604</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>96x8</td><td>7.6</td><td>8</td><td>0.9975</td><td>0.9473</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>24x10</td><td>7.8</td><td>8</td><td>0.9990</td><td>0.9712</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>100x101</td><td>7.5</td><td>12</td><td>0.9968</td><td>0.9708</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Exclusion power <i>P</i><sub><i>u</i></sub></b>\", \"bbox\": [362, 4, 430, 13]}, {\"cell\": \"<b>Type of markers</b>\", \"bbox\": [1, 17, 59, 26]}, {\"cell\": \"<b>Size of factorial design (<i>N</i><sub><i>f </i></sub>x <i>N</i><sub><i>m</i></sub>)</b>\", \"bbox\": [89, 17, 170, 35]}, {\"cell\": \"<b>Alleles/ locus<sup>a</sup></b>\", \"bbox\": [179, 15, 229, 26]}, {\"cell\": \"<b>Number of loci</b>\", \"bbox\": [245, 17, 299, 26]}, {\"cell\": \"<b>Predicted (Eq.2)*</b>\", \"bbox\": [307, 17, 367, 26]}, {\"cell\": \"<b>Simulated</b>\", \"bbox\": [376, 17, 413, 26]}, {\"cell\": \"<b>Predicted (Eq.7)**</b>\", \"bbox\": [421, 17, 484, 26]}, {\"cell\": \"Idealized markers (equally frequent alleles)\", \"bbox\": [1, 41, 80, 60]}, {\"cell\": \"10x10\", \"bbox\": [89, 41, 110, 51]}, {\"cell\": \"5\", \"bbox\": [179, 41, 185, 51]}, {\"cell\": \"3\", \"bbox\": [245, 41, 251, 51]}, {\"cell\": \"0.3064\", \"bbox\": [307, 41, 330, 51]}, {\"cell\": \"0.2123\", \"bbox\": [376, 41, 398, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 41, 444, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10x10\", \"bbox\": [89, 64, 110, 74]}, {\"cell\": \"5\", \"bbox\": [179, 64, 185, 74]}, {\"cell\": \"6\", \"bbox\": [245, 64, 251, 74]}, {\"cell\": \"0.9861\", \"bbox\": [307, 64, 330, 74]}, {\"cell\": \"0.9163\", \"bbox\": [376, 64, 398, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 64, 444, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10x10\", \"bbox\": [89, 78, 110, 87]}, {\"cell\": \"5\", \"bbox\": [179, 78, 185, 87]}, {\"cell\": \"9\", \"bbox\": [245, 78, 251, 87]}, {\"cell\": \"0.9998\", \"bbox\": [307, 78, 330, 87]}, {\"cell\": \"0.9947\", \"bbox\": [376, 78, 398, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 78, 444, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10x10\", \"bbox\": [89, 92, 110, 101]}, {\"cell\": \"5\", \"bbox\": [179, 92, 185, 101]}, {\"cell\": \"12\", \"bbox\": [245, 92, 254, 101]}, {\"cell\": \"1.0000\", \"bbox\": [307, 92, 330, 101]}, {\"cell\": \"0.9997\", \"bbox\": [376, 92, 398, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 92, 444, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10x10\", \"bbox\": [89, 105, 110, 115]}, {\"cell\": \"10\", \"bbox\": [179, 105, 189, 115]}, {\"cell\": \"3\", \"bbox\": [245, 105, 251, 115]}, {\"cell\": \"0.9690\", \"bbox\": [307, 105, 330, 115]}, {\"cell\": \"0.8448\", \"bbox\": [376, 105, 398, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 105, 444, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10x10\", \"bbox\": [89, 119, 110, 129]}, {\"cell\": \"10\", \"bbox\": [179, 119, 189, 129]}, {\"cell\": \"6\", \"bbox\": [245, 119, 251, 129]}, {\"cell\": \"1.0000\", \"bbox\": [307, 119, 330, 129]}, {\"cell\": \"0.9987\", \"bbox\": [376, 119, 398, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 119, 444, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20x20\", \"bbox\": [89, 133, 110, 143]}, {\"cell\": \"5\", \"bbox\": [179, 133, 185, 143]}, {\"cell\": \"3\", \"bbox\": [245, 133, 251, 143]}, {\"cell\": \"0.0085\", \"bbox\": [307, 133, 330, 143]}, {\"cell\": \"0.0321\", \"bbox\": [376, 133, 398, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 133, 444, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20x20\", \"bbox\": [89, 147, 110, 156]}, {\"cell\": \"5\", \"bbox\": [179, 147, 185, 156]}, {\"cell\": \"6\", \"bbox\": [245, 147, 251, 156]}, {\"cell\": \"0.9453\", \"bbox\": [307, 147, 330, 156]}, {\"cell\": \"0.8143\", \"bbox\": [376, 147, 398, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 147, 444, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20x20\", \"bbox\": [89, 161, 110, 170]}, {\"cell\": \"5\", \"bbox\": [179, 161, 185, 170]}, {\"cell\": \"9\", \"bbox\": [245, 161, 251, 170]}, {\"cell\": \"0.9993\", \"bbox\": [307, 161, 330, 170]}, {\"cell\": \"0.9884\", \"bbox\": [376, 161, 398, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 161, 444, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20x20\", \"bbox\": [89, 174, 110, 184]}, {\"cell\": \"5\", \"bbox\": [179, 174, 185, 184]}, {\"cell\": \"12\", \"bbox\": [245, 174, 254, 184]}, {\"cell\": \"1.0000\", \"bbox\": [307, 174, 330, 184]}, {\"cell\": \"0.9993\", \"bbox\": [376, 174, 398, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 174, 444, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20x20\", \"bbox\": [89, 188, 110, 198]}, {\"cell\": \"10\", \"bbox\": [179, 188, 189, 198]}, {\"cell\": \"3\", \"bbox\": [245, 188, 251, 198]}, {\"cell\": \"0.8810\", \"bbox\": [307, 188, 330, 198]}, {\"cell\": \"0.6717\", \"bbox\": [376, 188, 398, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 188, 444, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20x20\", \"bbox\": [89, 202, 110, 212]}, {\"cell\": \"10\", \"bbox\": [179, 202, 189, 212]}, {\"cell\": \"6\", \"bbox\": [245, 202, 251, 212]}, {\"cell\": \"1.0000\", \"bbox\": [307, 202, 330, 212]}, {\"cell\": \"0.9972\", \"bbox\": [376, 202, 398, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 202, 444, 212]}, {\"cell\": \"Real microsatellites\", \"bbox\": [1, 216, 63, 225]}, {\"cell\": \"76x13\", \"bbox\": [89, 216, 110, 225]}, {\"cell\": \"20.1\", \"bbox\": [179, 216, 194, 225]}, {\"cell\": \"8\", \"bbox\": [245, 216, 251, 225]}, {\"cell\": \"1.0000\", \"bbox\": [307, 216, 330, 225]}, {\"cell\": \"0.9994\", \"bbox\": [376, 216, 398, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 216, 444, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"75x26\", \"bbox\": [89, 230, 110, 239]}, {\"cell\": \"21.7\", \"bbox\": [179, 230, 194, 239]}, {\"cell\": \"6\", \"bbox\": [245, 230, 251, 239]}, {\"cell\": \"0.9999\", \"bbox\": [307, 230, 330, 239]}, {\"cell\": \"0.9934\", \"bbox\": [376, 230, 398, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 230, 444, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"41x8\", \"bbox\": [89, 243, 106, 253]}, {\"cell\": \"19.3\", \"bbox\": [179, 243, 194, 253]}, {\"cell\": \"6\", \"bbox\": [245, 243, 251, 253]}, {\"cell\": \"0.9999\", \"bbox\": [307, 243, 330, 253]}, {\"cell\": \"0.9928\", \"bbox\": [376, 243, 398, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 243, 444, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20x2\", \"bbox\": [89, 257, 106, 267]}, {\"cell\": \"16.3\", \"bbox\": [179, 257, 194, 267]}, {\"cell\": \"4\", \"bbox\": [245, 257, 251, 267]}, {\"cell\": \"0.9986\", \"bbox\": [307, 257, 330, 267]}, {\"cell\": \"0.9465\", \"bbox\": [376, 257, 398, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 257, 444, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"147x8\", \"bbox\": [89, 271, 110, 281]}, {\"cell\": \"7.5\", \"bbox\": [179, 271, 190, 281]}, {\"cell\": \"8\", \"bbox\": [245, 271, 251, 281]}, {\"cell\": \"0.9911\", \"bbox\": [307, 271, 330, 281]}, {\"cell\": \"0.8604\", \"bbox\": [376, 271, 398, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 271, 444, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"96x8\", \"bbox\": [89, 285, 106, 294]}, {\"cell\": \"7.6\", \"bbox\": [179, 285, 190, 294]}, {\"cell\": \"8\", \"bbox\": [245, 285, 251, 294]}, {\"cell\": \"0.9975\", \"bbox\": [307, 285, 330, 294]}, {\"cell\": \"0.9473\", \"bbox\": [376, 285, 398, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 285, 444, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"24x10\", \"bbox\": [89, 299, 110, 308]}, {\"cell\": \"7.8\", \"bbox\": [179, 299, 190, 308]}, {\"cell\": \"8\", \"bbox\": [245, 299, 251, 308]}, {\"cell\": \"0.9990\", \"bbox\": [307, 299, 330, 308]}, {\"cell\": \"0.9712\", \"bbox\": [376, 299, 398, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 299, 444, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"100x101\", \"bbox\": [89, 312, 118, 322]}, {\"cell\": \"7.5\", \"bbox\": [179, 312, 190, 322]}, {\"cell\": \"12\", \"bbox\": [245, 312, 254, 322]}, {\"cell\": \"0.9968\", \"bbox\": [307, 312, 330, 322]}, {\"cell\": \"0.9708\", \"bbox\": [376, 312, 398, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 312, 444, 322]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3523974_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}734{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Artesunate–Amodiaquine (n = 189)</b></td><td><b>Chloroquine (n = 190)</b></td></tr></thead><tbody><tr><td>Male</td><td>136 (72.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Age, y</td><td>35.7 (1–68; 16·4)</td><td>[EMPTY_CELL]</td></tr><tr><td><6</td><td>7 (3.7%)</td><td>[EMPTY_CELL]</td></tr><tr><td>6–14</td><td>10 (5.3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>≥14</td><td>172 (91.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Weight, kg</td><td>68.8 (8.5–117.9; 18.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Concomitant illness</td><td>25 (13.2%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Residing in Manaus urban area</td><td>170 (89.5%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Temperature (°C)</td><td>37.2 (34.9–40.1; 1.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Temperature ≥37.5°C</td><td>85 (45.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Geometric mean parasite density per μL (95% confidence interval)</td><td>1746 (1475–2068)</td><td>[EMPTY_CELL]</td></tr><tr><td>Positive gametocytemia</td><td>105 (55.6%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Hemoglobin (g/dL)</td><td>13.3 (7.3–18.3; 1.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Anemia</td><td>93 (48.9%)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [0, 16, 27, 25]}, {\"cell\": \"<b>Artesunate–Amodiaquine (n = 189)</b>\", \"bbox\": [90, 7, 163, 25]}, {\"cell\": \"<b>Chloroquine (n = 190)</b>\", \"bbox\": [171, 16, 240, 25]}, {\"cell\": \"Male\", \"bbox\": [1, 30, 18, 39]}, {\"cell\": \"136 (72.0%)\", \"bbox\": [97, 30, 137, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 30, 214, 39]}, {\"cell\": \"Age, y\", \"bbox\": [1, 42, 22, 50]}, {\"cell\": \"35.7 (1–68; 16·4)\", \"bbox\": [95, 42, 149, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 42, 225, 50]}, {\"cell\": \"<6\", \"bbox\": [1, 53, 11, 61]}, {\"cell\": \"7 (3.7%)\", \"bbox\": [105, 53, 133, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [182, 53, 210, 61]}, {\"cell\": \"6–14\", \"bbox\": [1, 64, 17, 72]}, {\"cell\": \"10 (5.3%)\", \"bbox\": [101, 64, 133, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 64, 209, 72]}, {\"cell\": \"≥14\", \"bbox\": [1, 75, 14, 83]}, {\"cell\": \"172 (91.0%)\", \"bbox\": [97, 75, 136, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 75, 214, 83]}, {\"cell\": \"Weight, kg\", \"bbox\": [1, 86, 36, 94]}, {\"cell\": \"68.8 (8.5–117.9; 18.8)\", \"bbox\": [95, 86, 162, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 86, 239, 94]}, {\"cell\": \"Concomitant illness\", \"bbox\": [1, 97, 64, 105]}, {\"cell\": \"25 (13.2%)\", \"bbox\": [101, 97, 137, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 97, 214, 105]}, {\"cell\": \"Residing in Manaus urban area\", \"bbox\": [1, 108, 83, 125]}, {\"cell\": \"170 (89.5%)\", \"bbox\": [97, 108, 137, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 108, 213, 116]}, {\"cell\": \"Temperature (°C)\", \"bbox\": [1, 128, 55, 137]}, {\"cell\": \"37.2 (34.9–40.1; 1.3)\", \"bbox\": [96, 128, 160, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 128, 237, 137]}, {\"cell\": \"Temperature ≥37.5°C\", \"bbox\": [1, 139, 67, 148]}, {\"cell\": \"85 (45.0%)\", \"bbox\": [101, 139, 137, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 139, 214, 148]}, {\"cell\": \"Geometric mean parasite density per μL (95% confidence interval)\", \"bbox\": [1, 150, 81, 177]}, {\"cell\": \"1746 (1475–2068)\", \"bbox\": [94, 150, 151, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 150, 227, 159]}, {\"cell\": \"Positive gametocytemia\", \"bbox\": [1, 179, 77, 188]}, {\"cell\": \"105 (55.6%)\", \"bbox\": [97, 179, 137, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 179, 214, 188]}, {\"cell\": \"Hemoglobin (g/dL)\", \"bbox\": [1, 190, 60, 199]}, {\"cell\": \"13.3 (7.3–18.3; 1.9)\", \"bbox\": [95, 190, 154, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [172, 190, 230, 199]}, {\"cell\": \"Anemia\", \"bbox\": [1, 201, 26, 210]}, {\"cell\": \"93 (48.9%)\", \"bbox\": [101, 201, 137, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 201, 214, 210]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5215218_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}735{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"3\\\"><b>Model 1 (excluding variable: bowel cancer knowledge score from the model) (n = 89)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>Adjusted OR (95% CI)</b></td><td><b><i>p</i></b><b>-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td>4.5 (1.2-16.5)</td><td><b>0.026*</b></td></tr><tr><td>[EMPTY_CELL]</td><td>6.8 (2.0-23.3)</td><td><b>0.002*</b></td></tr><tr><td>[EMPTY_CELL]</td><td>19.8 (5.5-71.8)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>6.91 (2.1-22.5)</td><td><b>0.001*</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9.97 (2.4-41.3)</td><td><b>0.002*</b></td></tr><tr><td>[EMPTY_CELL]</td><td>13.6 (3.4-54.0)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Model 1 (excluding variable: bowel cancer knowledge score from the model) (n = 89)</b>\", \"bbox\": [1, 4, 298, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 34, 27]}, {\"cell\": \"<b>Adjusted OR (95% CI)</b>\", \"bbox\": [269, 17, 345, 27]}, {\"cell\": \"<b><i>p</i></b><b>-value</b>\", \"bbox\": [398, 17, 425, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 29, 100, 41]}, {\"cell\": \"4.5 (1.2-16.5)\", \"bbox\": [269, 31, 310, 41]}, {\"cell\": \"<b>0.026*</b>\", \"bbox\": [398, 31, 422, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 158, 55]}, {\"cell\": \"6.8 (2.0-23.3)\", \"bbox\": [269, 45, 310, 55]}, {\"cell\": \"<b>0.002*</b>\", \"bbox\": [398, 45, 422, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 216, 69]}, {\"cell\": \"19.8 (5.5-71.8)\", \"bbox\": [269, 59, 314, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 59, 432, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 484, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 93, 123, 104]}, {\"cell\": \"6.91 (2.1-22.5)\", \"bbox\": [269, 94, 314, 104]}, {\"cell\": \"<b>0.001*</b>\", \"bbox\": [398, 94, 422, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 108, 130, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 108, 432, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 121, 57, 132]}, {\"cell\": \"9.97 (2.4-41.3)\", \"bbox\": [269, 122, 314, 132]}, {\"cell\": \"<b>0.002*</b>\", \"bbox\": [398, 122, 422, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 135, 46, 146]}, {\"cell\": \"13.6 (3.4-54.0)\", \"bbox\": [269, 136, 314, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 136, 432, 146]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3481427_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}736{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Specialty</b></td><td><b>Number of visits (%)</b></td><td><b>Claims (%)</b></td></tr></thead><tbody><tr><td><b>Family medicine</b></td><td>[EMPTY_CELL]</td><td>51,157,561 (8.3)</td></tr><tr><td><b>Internal medicine</b></td><td>[EMPTY_CELL]</td><td>42,542,879 (6.9)</td></tr><tr><td><b>Otorhinolaryngology</b></td><td>[EMPTY_CELL]</td><td>29,718,395 (4.8)</td></tr><tr><td><b>Pediatrics</b></td><td>[EMPTY_CELL]</td><td>31,574,986 (5.1)</td></tr><tr><td><b>Ophthalmology</b></td><td>[EMPTY_CELL]</td><td>25,422,291 (4.1)</td></tr><tr><td><b>Obstetrics & Gynecology</b></td><td>[EMPTY_CELL]</td><td>19,674,700 (3.2)</td></tr><tr><td><b>All others</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Total</b></td><td>[EMPTY_CELL]</td><td>618,119,592 (100)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Specialty</b>\", \"bbox\": [8, 6, 53, 18]}, {\"cell\": \"<b>Number of visits (%)</b>\", \"bbox\": [229, 6, 329, 18]}, {\"cell\": \"<b>Claims (%)</b>\", \"bbox\": [438, 6, 494, 18]}, {\"cell\": \"<b>Family medicine</b>\", \"bbox\": [7, 22, 87, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 22, 329, 34]}, {\"cell\": \"51,157,561 (8.3)\", \"bbox\": [419, 22, 494, 34]}, {\"cell\": \"<b>Internal medicine</b>\", \"bbox\": [7, 37, 92, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 37, 329, 49]}, {\"cell\": \"42,542,879 (6.9)\", \"bbox\": [419, 37, 494, 49]}, {\"cell\": \"<b>Otorhinolaryngology</b>\", \"bbox\": [7, 52, 108, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 52, 329, 64]}, {\"cell\": \"29,718,395 (4.8)\", \"bbox\": [419, 52, 494, 64]}, {\"cell\": \"<b>Pediatrics</b>\", \"bbox\": [7, 67, 56, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 67, 329, 79]}, {\"cell\": \"31,574,986 (5.1)\", \"bbox\": [419, 67, 494, 79]}, {\"cell\": \"<b>Ophthalmology</b>\", \"bbox\": [7, 82, 82, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 82, 329, 94]}, {\"cell\": \"25,422,291 (4.1)\", \"bbox\": [419, 82, 494, 94]}, {\"cell\": \"<b>Obstetrics & Gynecology</b>\", \"bbox\": [7, 97, 127, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 97, 329, 109]}, {\"cell\": \"19,674,700 (3.2)\", \"bbox\": [419, 97, 494, 109]}, {\"cell\": \"<b>All others</b>\", \"bbox\": [7, 112, 55, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total</b>\", \"bbox\": [7, 127, 34, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 127, 329, 139]}, {\"cell\": \"618,119,592 (100)\", \"bbox\": [411, 127, 494, 139]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4483733_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}737{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Each covariate adjusted only for grade</b></td><td colspan=\\\"2\\\"><b>All covariates and grade, included in the model</b></td></tr><tr><td><b>Covariates</b></td><td><b>Odds ratioEstimate (95% CI)</b></td><td><b>p-value</b></td><td><b>Odds ratioEstimate (95% CI)</b></td><td><b>p-value</b></td></tr></thead><tbody><tr><td><i>Restraining factors</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Academic problems</td><td>0.47 (0.30 to 0.71)</td><td>< 0.001</td><td>[EMPTY_CELL]</td><td>0.49</td></tr><tr><td> Disturbed work</td><td>0.62 (0.45 to 0.86)</td><td>0.003</td><td>[EMPTY_CELL]</td><td>0.13</td></tr><tr><td> Bothered in class</td><td>0.37 (0.23 to 0.61)</td><td>< 0.001</td><td>[EMPTY_CELL]</td><td>0.02</td></tr><tr><td> Loneliness</td><td>0.47 (0.34 to 0.65)</td><td>< 0.001</td><td>[EMPTY_CELL]</td><td>0.23</td></tr><tr><td> Victimization</td><td>0.45 (0.32 to 0.62)</td><td>< 0.001</td><td>[EMPTY_CELL]</td><td>0.26</td></tr><tr><td><i>Promoting factors</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> School work enjoyment</td><td>1.66 (1.08 to 2.56)</td><td>0.02</td><td>[EMPTY_CELL]</td><td>0.09</td></tr><tr><td> Necessary academic help</td><td>2.18 (1.46 to 3.26)</td><td>< 0.001</td><td>[EMPTY_CELL]</td><td>0.95</td></tr><tr><td> School work satisfaction</td><td>1.42 (0.97 to 2.08)</td><td>0.07</td><td>[EMPTY_CELL]</td><td>0.69</td></tr><tr><td> Friends</td><td>1.18 (0.85 to 1.64)</td><td>0.34</td><td>[EMPTY_CELL]</td><td>0.10</td></tr><tr><td> Supportive peers</td><td>1.44 (1.08 to 1.93)</td><td>0.01</td><td>[EMPTY_CELL]</td><td>0.14</td></tr><tr><td> Supportive teacher</td><td>1.12 (0.83 to 1.50)</td><td>0.45</td><td>[EMPTY_CELL]</td><td>0.99</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Each covariate adjusted only for grade</b>\", \"bbox\": [131, 4, 269, 13]}, {\"cell\": \"<b>All covariates and grade, included in the model</b>\", \"bbox\": [302, 4, 470, 13]}, {\"cell\": \"<b>Covariates</b>\", \"bbox\": [0, 17, 39, 27]}, {\"cell\": \"<b>Odds ratioEstimate (95% CI)</b>\", \"bbox\": [135, 17, 198, 36]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [255, 17, 283, 27]}, {\"cell\": \"<b>Odds ratioEstimate (95% CI)</b>\", \"bbox\": [313, 17, 376, 36]}, {\"cell\": \"<b>p-value</b>\", \"bbox\": [457, 17, 484, 27]}, {\"cell\": \"<i>Restraining factors</i>\", \"bbox\": [1, 39, 59, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Academic problems\", \"bbox\": [15, 51, 82, 61]}, {\"cell\": \"0.47 (0.30 to 0.71)\", \"bbox\": [137, 51, 196, 61]}, {\"cell\": \"< 0.001\", \"bbox\": [257, 51, 283, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 51, 374, 61]}, {\"cell\": \"0.49\", \"bbox\": [470, 51, 484, 61]}, {\"cell\": \" Disturbed work\", \"bbox\": [15, 63, 67, 73]}, {\"cell\": \"0.62 (0.45 to 0.86)\", \"bbox\": [137, 63, 196, 73]}, {\"cell\": \"0.003\", \"bbox\": [264, 63, 283, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 63, 374, 73]}, {\"cell\": \"0.13\", \"bbox\": [470, 63, 484, 73]}, {\"cell\": \" Bothered in class\", \"bbox\": [15, 75, 72, 85]}, {\"cell\": \"0.37 (0.23 to 0.61)\", \"bbox\": [137, 75, 196, 85]}, {\"cell\": \"< 0.001\", \"bbox\": [257, 75, 283, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 75, 374, 85]}, {\"cell\": \"0.02\", \"bbox\": [470, 75, 484, 85]}, {\"cell\": \" Loneliness\", \"bbox\": [15, 87, 50, 97]}, {\"cell\": \"0.47 (0.34 to 0.65)\", \"bbox\": [137, 87, 196, 97]}, {\"cell\": \"< 0.001\", \"bbox\": [257, 87, 283, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 87, 374, 97]}, {\"cell\": \"0.23\", \"bbox\": [470, 87, 484, 97]}, {\"cell\": \" Victimization\", \"bbox\": [15, 99, 58, 109]}, {\"cell\": \"0.45 (0.32 to 0.62)\", \"bbox\": [137, 99, 196, 109]}, {\"cell\": \"< 0.001\", \"bbox\": [257, 99, 283, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 99, 374, 109]}, {\"cell\": \"0.26\", \"bbox\": [470, 99, 484, 109]}, {\"cell\": \"<i>Promoting factors</i>\", \"bbox\": [1, 111, 58, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" School work enjoyment\", \"bbox\": [15, 123, 94, 133]}, {\"cell\": \"1.66 (1.08 to 2.56)\", \"bbox\": [137, 123, 196, 133]}, {\"cell\": \"0.02\", \"bbox\": [268, 123, 283, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 123, 374, 133]}, {\"cell\": \"0.09\", \"bbox\": [470, 123, 484, 133]}, {\"cell\": \" Necessary academic help\", \"bbox\": [15, 135, 98, 145]}, {\"cell\": \"2.18 (1.46 to 3.26)\", \"bbox\": [137, 135, 196, 145]}, {\"cell\": \"< 0.001\", \"bbox\": [257, 135, 283, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 135, 374, 145]}, {\"cell\": \"0.95\", \"bbox\": [470, 135, 484, 145]}, {\"cell\": \" School work satisfaction\", \"bbox\": [15, 147, 95, 156]}, {\"cell\": \"1.42 (0.97 to 2.08)\", \"bbox\": [137, 147, 196, 156]}, {\"cell\": \"0.07\", \"bbox\": [268, 147, 283, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 147, 374, 156]}, {\"cell\": \"0.69\", \"bbox\": [470, 147, 484, 156]}, {\"cell\": \" Friends\", \"bbox\": [15, 159, 40, 168]}, {\"cell\": \"1.18 (0.85 to 1.64)\", \"bbox\": [137, 159, 196, 168]}, {\"cell\": \"0.34\", \"bbox\": [268, 159, 283, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 159, 374, 168]}, {\"cell\": \"0.10\", \"bbox\": [470, 159, 484, 168]}, {\"cell\": \" Supportive peers\", \"bbox\": [15, 171, 72, 180]}, {\"cell\": \"1.44 (1.08 to 1.93)\", \"bbox\": [137, 171, 196, 180]}, {\"cell\": \"0.01\", \"bbox\": [268, 171, 283, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 171, 374, 180]}, {\"cell\": \"0.14\", \"bbox\": [470, 171, 484, 180]}, {\"cell\": \" Supportive teacher\", \"bbox\": [15, 183, 78, 192]}, {\"cell\": \"1.12 (0.83 to 1.50)\", \"bbox\": [137, 183, 196, 192]}, {\"cell\": \"0.45\", \"bbox\": [268, 183, 283, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 183, 374, 192]}, {\"cell\": \"0.99\", \"bbox\": [470, 183, 484, 192]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2941687_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}738{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Study Period</b></td><td colspan=\\\"2\\\"><b>City-Wide bEB (8 h)</b></td><td colspan=\\\"2\\\"><b>Mean T<sub>a</sub> (24 h)</b></td><td colspan=\\\"2\\\"><b>Mean T<sub>a</sub> (8 h)</b></td><td colspan=\\\"2\\\"><b>T<sub>max</sub> (24 h)</b></td><td colspan=\\\"2\\\"><b>T<sub>min</sub> (24 h)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>r</i></b></td><td><b><i>p</i></b></td><td><b><i>r</i></b></td><td><b><i>p</i></b></td><td><b><i>r</i></b></td><td><b><i>p</i></b></td><td><b><i>r</i></b></td><td><b><i>p</i></b></td><td><b><i>r</i></b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>2005</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Total calls</td><td>0.432</td><td>0.083</td><td><b>0.733</b></td><td><b>0.001</b></td><td><b>0.692</b></td><td><b>0.002</b></td><td><b>0.683</b></td><td>[EMPTY_CELL]</td><td><b>0.637</b></td><td><b>0.006</b></td></tr><tr><td>Heat-related</td><td>0.455</td><td>0.066</td><td><b>0.590</b></td><td><b>0.013</b></td><td><b>0.598</b></td><td><b>0.011</b></td><td><b>0.600</b></td><td>[EMPTY_CELL]</td><td>0.474</td><td>0.054</td></tr><tr><td>2006</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Total calls</td><td><b>0.513</b></td><td><b>0.035</b></td><td><b>0.395</b></td><td><b>0.117</b></td><td>0.381</td><td>0.131</td><td>0.359</td><td>[EMPTY_CELL]</td><td><b>0.302</b></td><td><b>0.238</b></td></tr><tr><td>Heat-related</td><td><b>0.616</b></td><td><b>0.009</b></td><td><b>0.557</b></td><td><b>0.020</b></td><td><b>0.567</b></td><td><b>0.018</b></td><td><b>0.555</b></td><td>[EMPTY_CELL]</td><td><b>0.382</b></td><td><b>0.130</b></td></tr><tr><td>2010a</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Total calls</td><td>0.401</td><td>0.124</td><td><b>0.592</b></td><td><b>0.016</b></td><td><b>0.526</b></td><td><b>0.036</b></td><td><b>0.499</b></td><td>[EMPTY_CELL]</td><td><b>0.495</b></td><td><b>0.051</b></td></tr><tr><td>Heat-related</td><td>0.338</td><td>0.201</td><td>0.368</td><td>0.161</td><td>0.376</td><td>0.151</td><td>0.338</td><td>[EMPTY_CELL]</td><td>0.172</td><td>0.525</td></tr><tr><td>2010b</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Total calls</td><td><b>0.627</b></td><td><b>0.004</b></td><td><b>0.710</b></td><td><b>0.001</b></td><td><b>0.700</b></td><td><b>0.001</b></td><td><b>0.690</b></td><td>[EMPTY_CELL]</td><td><b>0.501</b></td><td><b>0.029</b></td></tr><tr><td>Heat-related</td><td>0.289</td><td>0.230</td><td>0.535</td><td>0.018</td><td><b>0.459</b></td><td><b>0.048</b></td><td><b>0.459</b></td><td>[EMPTY_CELL]</td><td>0.438</td><td>0.061</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study Period</b>\", \"bbox\": [11, 5, 61, 15]}, {\"cell\": \"<b>City-Wide bEB (8 h)</b>\", \"bbox\": [75, 5, 150, 15]}, {\"cell\": \"<b>Mean T<sub>a</sub> (24 h)</b>\", \"bbox\": [163, 5, 220, 16]}, {\"cell\": \"<b>Mean T<sub>a</sub> (8 h)</b>\", \"bbox\": [238, 5, 290, 16]}, {\"cell\": \"<b>T<sub>max</sub> (24 h)</b>\", \"bbox\": [315, 5, 357, 16]}, {\"cell\": \"<b>T<sub>min</sub> (24 h)</b>\", \"bbox\": [374, 4, 423, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>r</i></b>\", \"bbox\": [89, 21, 94, 29]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [131, 21, 137, 29]}, {\"cell\": \"<b><i>r</i></b>\", \"bbox\": [171, 21, 176, 29]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [206, 21, 213, 29]}, {\"cell\": \"<b><i>r</i></b>\", \"bbox\": [243, 21, 248, 29]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [279, 21, 285, 29]}, {\"cell\": \"<b><i>r</i></b>\", \"bbox\": [316, 21, 321, 29]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [351, 21, 358, 29]}, {\"cell\": \"<b><i>r</i></b>\", \"bbox\": [385, 21, 390, 29]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [414, 21, 420, 29]}, {\"cell\": \"2005\", \"bbox\": [27, 34, 45, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total calls\", \"bbox\": [17, 44, 54, 54]}, {\"cell\": \"0.432\", \"bbox\": [81, 44, 101, 54]}, {\"cell\": \"0.083\", \"bbox\": [124, 44, 144, 54]}, {\"cell\": \"<b>0.733</b>\", \"bbox\": [163, 44, 184, 54]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [200, 44, 220, 54]}, {\"cell\": \"<b>0.692</b>\", \"bbox\": [236, 44, 256, 54]}, {\"cell\": \"<b>0.002</b>\", \"bbox\": [272, 44, 292, 54]}, {\"cell\": \"<b>0.683</b>\", \"bbox\": [308, 44, 328, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 44, 364, 54]}, {\"cell\": \"<b>0.637</b>\", \"bbox\": [377, 44, 397, 54]}, {\"cell\": \"<b>0.006</b>\", \"bbox\": [407, 44, 427, 54]}, {\"cell\": \"Heat-related\", \"bbox\": [12, 53, 59, 64]}, {\"cell\": \"0.455\", \"bbox\": [81, 53, 101, 64]}, {\"cell\": \"0.066\", \"bbox\": [124, 53, 144, 64]}, {\"cell\": \"<b>0.590</b>\", \"bbox\": [163, 53, 184, 63]}, {\"cell\": \"<b>0.013</b>\", \"bbox\": [200, 53, 220, 63]}, {\"cell\": \"<b>0.598</b>\", \"bbox\": [236, 53, 256, 63]}, {\"cell\": \"<b>0.011</b>\", \"bbox\": [272, 53, 292, 63]}, {\"cell\": \"<b>0.600</b>\", \"bbox\": [308, 53, 328, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 53, 364, 63]}, {\"cell\": \"0.474\", \"bbox\": [377, 53, 397, 64]}, {\"cell\": \"0.054\", \"bbox\": [407, 53, 427, 64]}, {\"cell\": \"2006\", \"bbox\": [27, 68, 45, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total calls\", \"bbox\": [17, 78, 54, 88]}, {\"cell\": \"<b>0.513</b>\", \"bbox\": [81, 78, 101, 88]}, {\"cell\": \"<b>0.035</b>\", \"bbox\": [124, 78, 144, 88]}, {\"cell\": \"<b>0.395</b>\", \"bbox\": [163, 78, 184, 88]}, {\"cell\": \"<b>0.117</b>\", \"bbox\": [200, 78, 220, 88]}, {\"cell\": \"0.381\", \"bbox\": [236, 78, 256, 88]}, {\"cell\": \"0.131\", \"bbox\": [272, 78, 292, 88]}, {\"cell\": \"0.359\", \"bbox\": [308, 78, 328, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 78, 364, 88]}, {\"cell\": \"<b>0.302</b>\", \"bbox\": [377, 78, 397, 88]}, {\"cell\": \"<b>0.238</b>\", \"bbox\": [407, 78, 427, 88]}, {\"cell\": \"Heat-related\", \"bbox\": [12, 87, 59, 98]}, {\"cell\": \"<b>0.616</b>\", \"bbox\": [81, 88, 101, 97]}, {\"cell\": \"<b>0.009</b>\", \"bbox\": [124, 88, 144, 97]}, {\"cell\": \"<b>0.557</b>\", \"bbox\": [163, 88, 184, 97]}, {\"cell\": \"<b>0.020</b>\", \"bbox\": [200, 88, 220, 97]}, {\"cell\": \"<b>0.567</b>\", \"bbox\": [236, 88, 256, 97]}, {\"cell\": \"<b>0.018</b>\", \"bbox\": [272, 88, 292, 97]}, {\"cell\": \"<b>0.555</b>\", \"bbox\": [308, 88, 328, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 88, 364, 97]}, {\"cell\": \"<b>0.382</b>\", \"bbox\": [377, 88, 397, 97]}, {\"cell\": \"<b>0.130</b>\", \"bbox\": [407, 88, 427, 97]}, {\"cell\": \"2010a\", \"bbox\": [25, 102, 47, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total calls\", \"bbox\": [17, 112, 54, 122]}, {\"cell\": \"0.401\", \"bbox\": [81, 112, 101, 122]}, {\"cell\": \"0.124\", \"bbox\": [124, 112, 144, 122]}, {\"cell\": \"<b>0.592</b>\", \"bbox\": [163, 112, 184, 122]}, {\"cell\": \"<b>0.016</b>\", \"bbox\": [200, 112, 220, 122]}, {\"cell\": \"<b>0.526</b>\", \"bbox\": [236, 112, 256, 122]}, {\"cell\": \"<b>0.036</b>\", \"bbox\": [272, 112, 292, 122]}, {\"cell\": \"<b>0.499</b>\", \"bbox\": [308, 112, 328, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 112, 364, 122]}, {\"cell\": \"<b>0.495</b>\", \"bbox\": [377, 112, 397, 122]}, {\"cell\": \"<b>0.051</b>\", \"bbox\": [407, 112, 427, 122]}, {\"cell\": \"Heat-related\", \"bbox\": [12, 122, 59, 132]}, {\"cell\": \"0.338\", \"bbox\": [81, 122, 101, 132]}, {\"cell\": \"0.201\", \"bbox\": [124, 122, 144, 132]}, {\"cell\": \"0.368\", \"bbox\": [163, 122, 184, 132]}, {\"cell\": \"0.161\", \"bbox\": [200, 122, 220, 132]}, {\"cell\": \"0.376\", \"bbox\": [236, 122, 256, 132]}, {\"cell\": \"0.151\", \"bbox\": [272, 122, 292, 132]}, {\"cell\": \"0.338\", \"bbox\": [308, 122, 328, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 122, 364, 132]}, {\"cell\": \"0.172\", \"bbox\": [377, 122, 397, 132]}, {\"cell\": \"0.525\", \"bbox\": [407, 122, 427, 132]}, {\"cell\": \"2010b\", \"bbox\": [24, 136, 47, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total calls\", \"bbox\": [17, 146, 54, 156]}, {\"cell\": \"<b>0.627</b>\", \"bbox\": [81, 146, 101, 156]}, {\"cell\": \"<b>0.004</b>\", \"bbox\": [124, 146, 144, 156]}, {\"cell\": \"<b>0.710</b>\", \"bbox\": [163, 146, 184, 156]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [200, 146, 220, 156]}, {\"cell\": \"<b>0.700</b>\", \"bbox\": [236, 146, 256, 156]}, {\"cell\": \"<b>0.001</b>\", \"bbox\": [272, 146, 292, 156]}, {\"cell\": \"<b>0.690</b>\", \"bbox\": [308, 146, 328, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 146, 364, 156]}, {\"cell\": \"<b>0.501</b>\", \"bbox\": [377, 146, 397, 156]}, {\"cell\": \"<b>0.029</b>\", \"bbox\": [407, 146, 427, 156]}, {\"cell\": \"Heat-related\", \"bbox\": [12, 156, 59, 166]}, {\"cell\": \"0.289\", \"bbox\": [81, 156, 101, 166]}, {\"cell\": \"0.230\", \"bbox\": [124, 156, 144, 166]}, {\"cell\": \"0.535\", \"bbox\": [163, 156, 184, 166]}, {\"cell\": \"0.018\", \"bbox\": [200, 156, 220, 166]}, {\"cell\": \"<b>0.459</b>\", \"bbox\": [236, 156, 256, 166]}, {\"cell\": \"<b>0.048</b>\", \"bbox\": [272, 156, 292, 166]}, {\"cell\": \"<b>0.459</b>\", \"bbox\": [308, 156, 328, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 156, 364, 166]}, {\"cell\": \"0.438\", \"bbox\": [377, 156, 397, 166]}, {\"cell\": \"0.061\", \"bbox\": [407, 156, 427, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5551216_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}739{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Independent housing(<i>n</i> = 103)</b></td><td colspan=\\\"2\\\"><b>Sheltered housing(<i>n</i> = 59)</b></td><td colspan=\\\"2\\\"><b>Psychiatric hospital(<i>n</i> = 100)</b></td><td><b><i>χ</i><sup>2</sup>/<i>P</i><sup><i>a</i></sup></b></td></tr></thead><tbody><tr><td colspan=\\\"8\\\">Socio-demographics</td></tr><tr><td> Age, mean (<i>SD</i>)</td><td>46.1</td><td>[EMPTY_CELL]</td><td>45.7</td><td>(10.5)</td><td>43.8</td><td>(11)</td><td>0.261</td></tr><tr><td colspan=\\\"8\\\">Gender, <i>n</i> (<i>%</i>)</td></tr><tr><td> Male</td><td>53</td><td>[EMPTY_CELL]</td><td>40</td><td>(67.8)</td><td>69</td><td>(69)</td><td><i>0.021</i></td></tr><tr><td> Female</td><td>50</td><td>[EMPTY_CELL]</td><td>19</td><td>(32.2)</td><td>31</td><td>(30)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"8\\\">Ethnicity, <i>n</i> (<i>%</i>)</td></tr><tr><td> Western</td><td>72</td><td>[EMPTY_CELL]</td><td>30</td><td>(50.8)</td><td>61</td><td>(61.6)</td><td>0.055</td></tr><tr><td> Non-Western</td><td>31</td><td>[EMPTY_CELL]</td><td>29</td><td>(49.2)</td><td>38</td><td>(38.4)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"8\\\">Education, <i>n (%)</i><sup>b</sup></td></tr><tr><td> Primary/secondary education</td><td>72</td><td>[EMPTY_CELL]</td><td>50</td><td>(84.7)</td><td>82</td><td>(82)</td><td>[EMPTY_CELL]</td></tr><tr><td> Higher education</td><td>25</td><td>[EMPTY_CELL]</td><td>8</td><td>(13.6)</td><td>8</td><td>(8)</td><td><i>0.006</i></td></tr><tr><td> Unknown</td><td>6</td><td>[EMPTY_CELL]</td><td>1</td><td>(1.7)</td><td>10</td><td>(10)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"8\\\">Diagnosis, <i>n</i> (<i>%</i>)<sup>b</sup></td></tr><tr><td> Schizophrenia and other psychotic disorders</td><td>72</td><td>[EMPTY_CELL]</td><td>49</td><td>(83.1)</td><td>95</td><td>(95)</td><td>[EMPTY_CELL]</td></tr><tr><td> Mood disorders/anxiety disorders/axis II disorders</td><td>21</td><td>[EMPTY_CELL]</td><td>3</td><td>(11.5)</td><td>2</td><td>(7.7)</td><td><i>0.000</i></td></tr><tr><td> Substance use disorders</td><td>10</td><td>[EMPTY_CELL]</td><td>7</td><td>(11.7)</td><td>3</td><td>(3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Comorbid substance use disorders, <i>n</i> (<i>%</i>)</td><td>21</td><td>[EMPTY_CELL]</td><td>27</td><td>(45.8)</td><td>22</td><td>(22)</td><td><i>≤0.001</i></td></tr><tr><td>Medication non-adherence</td><td>38</td><td>[EMPTY_CELL]</td><td>28</td><td>(51.9)</td><td>40</td><td>(44)</td><td>0.375</td></tr><tr><td colspan=\\\"8\\\">Symptoms (BPRS-E), mean (<i>SD</i>)<sup>c</sup></td></tr><tr><td> Positive symptoms</td><td>1.6</td><td>[EMPTY_CELL]</td><td>1.5</td><td>(0.6)</td><td>2.1</td><td>(1.0)</td><td><i>0.000</i></td></tr><tr><td> Negative symptoms</td><td>1.2</td><td>[EMPTY_CELL]</td><td>1.3</td><td>(0.4)</td><td>1.7</td><td>(0.7)</td><td><i>0.000</i></td></tr><tr><td> Depression & Anxiety</td><td>1.8</td><td>[EMPTY_CELL]</td><td>1.7</td><td>(0.6)</td><td>2.0</td><td>(0.8)</td><td>0.067</td></tr><tr><td> Disorganisation</td><td>1.2</td><td>[EMPTY_CELL]</td><td>1.3</td><td>(0.4)</td><td>1.6</td><td>(0.6)</td><td><i>0.000</i></td></tr><tr><td> BPRS total</td><td>1.4</td><td>[EMPTY_CELL]</td><td>1.4</td><td>(0.4)</td><td>1.8</td><td>(0.5)</td><td><i>0.000</i></td></tr><tr><td colspan=\\\"8\\\">Substance use (MATE), <i>mean</i> (<i>SD</i>)<sup>c,d</sup></td></tr><tr><td> Alcohol</td><td>5.4</td><td>[EMPTY_CELL]</td><td>8.5</td><td>(12.4)</td><td>4.7</td><td>(10)</td><td>0.362</td></tr><tr><td> Cannabis</td><td>2.3</td><td>[EMPTY_CELL]</td><td>6.2</td><td>(11.3)</td><td>3.4</td><td>(8.9)</td><td><i>0.007</i></td></tr><tr><td> Hard drugs (cocaine, stimulants, 3,4-methylenedioxy- methamphetamine, opiates)</td><td>1.7</td><td>[EMPTY_CELL]</td><td>5.1</td><td>(12.1)</td><td>1.3</td><td>(7.1)</td><td><i>0.001</i></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Independent housing(<i>n</i> = 103)</b>\", \"bbox\": [184, 5, 256, 23]}, {\"cell\": \"<b>Sheltered housing(<i>n</i> = 59)</b>\", \"bbox\": [283, 5, 343, 23]}, {\"cell\": \"<b>Psychiatric hospital(<i>n</i> = 100)</b>\", \"bbox\": [371, 5, 434, 23]}, {\"cell\": \"<b><i>χ</i><sup>2</sup>/<i>P</i><sup><i>a</i></sup></b>\", \"bbox\": [461, 3, 478, 14]}, {\"cell\": \"Socio-demographics\", \"bbox\": [1, 27, 68, 36]}, {\"cell\": \" Age, mean (<i>SD</i>)\", \"bbox\": [8, 41, 60, 50]}, {\"cell\": \"46.1\", \"bbox\": [184, 41, 199, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 41, 245, 50]}, {\"cell\": \"45.7\", \"bbox\": [283, 41, 298, 50]}, {\"cell\": \"(10.5)\", \"bbox\": [325, 41, 344, 50]}, {\"cell\": \"43.8\", \"bbox\": [371, 41, 386, 50]}, {\"cell\": \"(11)\", \"bbox\": [414, 41, 428, 50]}, {\"cell\": \"0.261\", \"bbox\": [461, 41, 480, 50]}, {\"cell\": \"Gender, <i>n</i> (<i>%</i>)\", \"bbox\": [1, 55, 46, 64]}, {\"cell\": \" Male\", \"bbox\": [9, 69, 26, 78]}, {\"cell\": \"53\", \"bbox\": [184, 69, 194, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 69, 251, 78]}, {\"cell\": \"40\", \"bbox\": [283, 69, 293, 78]}, {\"cell\": \"(67.8)\", \"bbox\": [325, 69, 344, 78]}, {\"cell\": \"69\", \"bbox\": [371, 69, 381, 78]}, {\"cell\": \"(69)\", \"bbox\": [414, 69, 428, 78]}, {\"cell\": \"<i>0.021</i>\", \"bbox\": [461, 69, 479, 77]}, {\"cell\": \" Female\", \"bbox\": [9, 83, 34, 92]}, {\"cell\": \"50\", \"bbox\": [184, 83, 194, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 83, 251, 92]}, {\"cell\": \"19\", \"bbox\": [283, 83, 293, 92]}, {\"cell\": \"(32.2)\", \"bbox\": [325, 83, 344, 92]}, {\"cell\": \"31\", \"bbox\": [371, 83, 381, 92]}, {\"cell\": \"(30)\", \"bbox\": [414, 83, 428, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ethnicity, <i>n</i> (<i>%</i>)\", \"bbox\": [1, 97, 50, 106]}, {\"cell\": \" Western\", \"bbox\": [9, 111, 37, 120]}, {\"cell\": \"72\", \"bbox\": [184, 111, 194, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 111, 251, 120]}, {\"cell\": \"30\", \"bbox\": [283, 111, 293, 120]}, {\"cell\": \"(50.8)\", \"bbox\": [325, 111, 344, 120]}, {\"cell\": \"61\", \"bbox\": [371, 111, 381, 120]}, {\"cell\": \"(61.6)\", \"bbox\": [414, 111, 433, 120]}, {\"cell\": \"0.055\", \"bbox\": [461, 111, 480, 120]}, {\"cell\": \" Non-Western\", \"bbox\": [9, 125, 52, 134]}, {\"cell\": \"31\", \"bbox\": [184, 125, 194, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 125, 251, 134]}, {\"cell\": \"29\", \"bbox\": [283, 125, 293, 134]}, {\"cell\": \"(49.2)\", \"bbox\": [325, 125, 344, 134]}, {\"cell\": \"38\", \"bbox\": [371, 125, 381, 134]}, {\"cell\": \"(38.4)\", \"bbox\": [414, 125, 433, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Education, <i>n (%)</i><sup>b</sup>\", \"bbox\": [1, 137, 58, 148]}, {\"cell\": \" Primary/secondary education\", \"bbox\": [8, 153, 104, 162]}, {\"cell\": \"72\", \"bbox\": [184, 153, 194, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 153, 251, 162]}, {\"cell\": \"50\", \"bbox\": [283, 153, 293, 162]}, {\"cell\": \"(84.7)\", \"bbox\": [325, 153, 344, 162]}, {\"cell\": \"82\", \"bbox\": [371, 153, 381, 162]}, {\"cell\": \"(82)\", \"bbox\": [414, 153, 428, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Higher education\", \"bbox\": [8, 167, 66, 176]}, {\"cell\": \"25\", \"bbox\": [184, 167, 194, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 167, 251, 176]}, {\"cell\": \"8\", \"bbox\": [283, 167, 289, 176]}, {\"cell\": \"(13.6)\", \"bbox\": [325, 167, 344, 176]}, {\"cell\": \"8\", \"bbox\": [371, 167, 377, 176]}, {\"cell\": \"(8)\", \"bbox\": [414, 167, 424, 176]}, {\"cell\": \"<i>0.006</i>\", \"bbox\": [461, 167, 479, 175]}, {\"cell\": \" Unknown\", \"bbox\": [8, 181, 41, 190]}, {\"cell\": \"6\", \"bbox\": [184, 181, 190, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 181, 247, 190]}, {\"cell\": \"1\", \"bbox\": [283, 181, 289, 190]}, {\"cell\": \"(1.7)\", \"bbox\": [325, 181, 340, 190]}, {\"cell\": \"10\", \"bbox\": [371, 181, 381, 190]}, {\"cell\": \"(10)\", \"bbox\": [414, 181, 428, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diagnosis, <i>n</i> (<i>%</i>)<sup>b</sup>\", \"bbox\": [1, 193, 56, 204]}, {\"cell\": \" Schizophrenia and other psychotic disorders\", \"bbox\": [8, 209, 153, 218]}, {\"cell\": \"72\", \"bbox\": [184, 209, 194, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 209, 251, 218]}, {\"cell\": \"49\", \"bbox\": [283, 209, 293, 218]}, {\"cell\": \"(83.1)\", \"bbox\": [325, 209, 344, 218]}, {\"cell\": \"95\", \"bbox\": [371, 209, 381, 218]}, {\"cell\": \"(95)\", \"bbox\": [414, 209, 428, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mood disorders/anxiety disorders/axis II disorders\", \"bbox\": [8, 223, 169, 232]}, {\"cell\": \"21\", \"bbox\": [184, 223, 194, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 223, 251, 232]}, {\"cell\": \"3\", \"bbox\": [283, 223, 289, 232]}, {\"cell\": \"(11.5)\", \"bbox\": [325, 223, 344, 232]}, {\"cell\": \"2\", \"bbox\": [371, 223, 377, 232]}, {\"cell\": \"(7.7)\", \"bbox\": [414, 223, 429, 232]}, {\"cell\": \"<i>0.000</i>\", \"bbox\": [461, 223, 479, 231]}, {\"cell\": \" Substance use disorders\", \"bbox\": [8, 237, 88, 246]}, {\"cell\": \"10\", \"bbox\": [184, 237, 194, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 237, 247, 246]}, {\"cell\": \"7\", \"bbox\": [283, 237, 289, 246]}, {\"cell\": \"(11.7)\", \"bbox\": [325, 237, 344, 246]}, {\"cell\": \"3\", \"bbox\": [371, 237, 377, 246]}, {\"cell\": \"(3)\", \"bbox\": [414, 237, 424, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Comorbid substance use disorders, <i>n</i> (<i>%</i>)\", \"bbox\": [1, 251, 133, 260]}, {\"cell\": \"21\", \"bbox\": [184, 251, 194, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 251, 251, 260]}, {\"cell\": \"27\", \"bbox\": [283, 251, 293, 260]}, {\"cell\": \"(45.8)\", \"bbox\": [325, 251, 344, 260]}, {\"cell\": \"22\", \"bbox\": [371, 251, 381, 260]}, {\"cell\": \"(22)\", \"bbox\": [414, 251, 428, 260]}, {\"cell\": \"<i>≤0.001</i>\", \"bbox\": [461, 251, 484, 259]}, {\"cell\": \"Medication non-adherence\", \"bbox\": [1, 265, 89, 274]}, {\"cell\": \"38\", \"bbox\": [184, 265, 194, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 265, 245, 274]}, {\"cell\": \"28\", \"bbox\": [283, 265, 293, 274]}, {\"cell\": \"(51.9)\", \"bbox\": [325, 265, 344, 274]}, {\"cell\": \"40\", \"bbox\": [371, 265, 381, 274]}, {\"cell\": \"(44)\", \"bbox\": [414, 265, 428, 274]}, {\"cell\": \"0.375\", \"bbox\": [461, 265, 480, 274]}, {\"cell\": \"Symptoms (BPRS-E), mean (<i>SD</i>)<sup>c</sup>\", \"bbox\": [1, 277, 104, 288]}, {\"cell\": \" Positive symptoms\", \"bbox\": [8, 293, 70, 302]}, {\"cell\": \"1.6\", \"bbox\": [184, 293, 195, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 293, 247, 302]}, {\"cell\": \"1.5\", \"bbox\": [283, 293, 294, 302]}, {\"cell\": \"(0.6)\", \"bbox\": [325, 293, 340, 302]}, {\"cell\": \"2.1\", \"bbox\": [371, 293, 382, 302]}, {\"cell\": \"(1.0)\", \"bbox\": [414, 293, 429, 302]}, {\"cell\": \"<i>0.000</i>\", \"bbox\": [461, 293, 479, 301]}, {\"cell\": \" Negative symptoms\", \"bbox\": [8, 307, 74, 316]}, {\"cell\": \"1.2\", \"bbox\": [184, 307, 195, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 307, 247, 316]}, {\"cell\": \"1.3\", \"bbox\": [283, 307, 294, 316]}, {\"cell\": \"(0.4)\", \"bbox\": [325, 307, 340, 316]}, {\"cell\": \"1.7\", \"bbox\": [371, 307, 382, 316]}, {\"cell\": \"(0.7)\", \"bbox\": [414, 307, 429, 316]}, {\"cell\": \"<i>0.000</i>\", \"bbox\": [461, 307, 479, 315]}, {\"cell\": \" Depression & Anxiety\", \"bbox\": [8, 321, 79, 330]}, {\"cell\": \"1.8\", \"bbox\": [184, 321, 195, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 321, 247, 330]}, {\"cell\": \"1.7\", \"bbox\": [283, 321, 294, 330]}, {\"cell\": \"(0.6)\", \"bbox\": [325, 321, 340, 330]}, {\"cell\": \"2.0\", \"bbox\": [371, 321, 382, 330]}, {\"cell\": \"(0.8)\", \"bbox\": [414, 321, 429, 330]}, {\"cell\": \"0.067\", \"bbox\": [461, 321, 480, 330]}, {\"cell\": \" Disorganisation\", \"bbox\": [8, 335, 60, 344]}, {\"cell\": \"1.2\", \"bbox\": [184, 335, 195, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 335, 247, 344]}, {\"cell\": \"1.3\", \"bbox\": [283, 335, 294, 344]}, {\"cell\": \"(0.4)\", \"bbox\": [325, 335, 340, 344]}, {\"cell\": \"1.6\", \"bbox\": [371, 335, 382, 344]}, {\"cell\": \"(0.6)\", \"bbox\": [414, 335, 429, 344]}, {\"cell\": \"<i>0.000</i>\", \"bbox\": [461, 335, 479, 343]}, {\"cell\": \" BPRS total\", \"bbox\": [8, 349, 43, 358]}, {\"cell\": \"1.4\", \"bbox\": [184, 349, 195, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 349, 247, 358]}, {\"cell\": \"1.4\", \"bbox\": [283, 349, 294, 358]}, {\"cell\": \"(0.4)\", \"bbox\": [325, 349, 340, 358]}, {\"cell\": \"1.8\", \"bbox\": [371, 349, 382, 358]}, {\"cell\": \"(0.5)\", \"bbox\": [414, 349, 429, 358]}, {\"cell\": \"<i>0.000</i>\", \"bbox\": [461, 349, 479, 357]}, {\"cell\": \"Substance use (MATE), <i>mean</i> (<i>SD</i>)<sup>c,d</sup>\", \"bbox\": [1, 361, 116, 372]}, {\"cell\": \" Alcohol\", \"bbox\": [8, 377, 35, 386]}, {\"cell\": \"5.4\", \"bbox\": [184, 377, 195, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 377, 251, 386]}, {\"cell\": \"8.5\", \"bbox\": [283, 377, 294, 386]}, {\"cell\": \"(12.4)\", \"bbox\": [325, 377, 344, 386]}, {\"cell\": \"4.7\", \"bbox\": [371, 377, 382, 386]}, {\"cell\": \"(10)\", \"bbox\": [414, 377, 428, 386]}, {\"cell\": \"0.362\", \"bbox\": [461, 377, 480, 386]}, {\"cell\": \" Cannabis\", \"bbox\": [8, 391, 39, 400]}, {\"cell\": \"2.3\", \"bbox\": [184, 391, 195, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 391, 247, 400]}, {\"cell\": \"6.2\", \"bbox\": [283, 391, 294, 400]}, {\"cell\": \"(11.3)\", \"bbox\": [325, 391, 344, 400]}, {\"cell\": \"3.4\", \"bbox\": [371, 391, 382, 400]}, {\"cell\": \"(8.9)\", \"bbox\": [414, 391, 429, 400]}, {\"cell\": \"<i>0.007</i>\", \"bbox\": [461, 391, 479, 399]}, {\"cell\": \" Hard drugs (cocaine, stimulants, 3,4-methylenedioxy- methamphetamine, opiates)\", \"bbox\": [8, 405, 168, 423]}, {\"cell\": \"1.7\", \"bbox\": [184, 405, 195, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 405, 242, 414]}, {\"cell\": \"5.1\", \"bbox\": [283, 405, 294, 414]}, {\"cell\": \"(12.1)\", \"bbox\": [325, 405, 344, 414]}, {\"cell\": \"1.3\", \"bbox\": [371, 405, 382, 414]}, {\"cell\": \"(7.1)\", \"bbox\": [414, 405, 429, 414]}, {\"cell\": \"<i>0.001</i>\", \"bbox\": [461, 405, 479, 413]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5135762_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}740{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Diets</b></td></tr><tr><td colspan=\\\"3\\\"><b>Experiment 1</b></td><td colspan=\\\"3\\\"><b>Experiment 2</b></td></tr></thead><tbody><tr><td>Items (% in Dry Material)</td><td>CD-1</td><td>ABD-1</td><td>APD-1</td><td>CD-2</td><td>ABD-2</td><td>[EMPTY_CELL]</td></tr><tr><td>Dry matter</td><td>89.36</td><td>59.96</td><td>70.64</td><td>89.36</td><td>45.18</td><td>[EMPTY_CELL]</td></tr><tr><td>Crude protein</td><td>16.01</td><td>16.02</td><td>16.02</td><td>16.01</td><td>16.01</td><td>[EMPTY_CELL]</td></tr><tr><td>Crude Fibre</td><td>19.62</td><td>19.15</td><td>18.67</td><td>19.62</td><td>19.22</td><td>[EMPTY_CELL]</td></tr><tr><td>Neutral detergent fibre</td><td>37.83</td><td>38.52</td><td>38.07</td><td>37.83</td><td>39.81</td><td>[EMPTY_CELL]</td></tr><tr><td>Acid detergent fibre</td><td>24.32</td><td>24.84</td><td>24.26</td><td>24.32</td><td>25.97</td><td>[EMPTY_CELL]</td></tr><tr><td>Acid detergent lignine</td><td>5.65</td><td>4.32</td><td>4.24</td><td>5.65</td><td>3.30</td><td>[EMPTY_CELL]</td></tr><tr><td>Ash</td><td>7.24</td><td>7.08</td><td>7.70</td><td>7.24</td><td>7.38</td><td>[EMPTY_CELL]</td></tr><tr><td>Ether extract</td><td>4.65</td><td>4.85</td><td>5.05</td><td>4.65</td><td>4.89</td><td>[EMPTY_CELL]</td></tr><tr><td>MFU (MFU/kg DM)</td><td>0.92</td><td>0.94</td><td>0.92</td><td>0.92</td><td>0.95</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Diets</b>\", \"bbox\": [228, 5, 252, 16]}, {\"cell\": \"<b>Experiment 1</b>\", \"bbox\": [149, 21, 205, 31]}, {\"cell\": \"<b>Experiment 2</b>\", \"bbox\": [274, 21, 330, 31]}, {\"cell\": \"Items (% in Dry Material)\", \"bbox\": [7, 36, 110, 48]}, {\"cell\": \"CD-1\", \"bbox\": [124, 36, 147, 48]}, {\"cell\": \"ABD-1\", \"bbox\": [163, 36, 192, 48]}, {\"cell\": \"APD-1\", \"bbox\": [205, 36, 233, 48]}, {\"cell\": \"CD-2\", \"bbox\": [249, 36, 272, 48]}, {\"cell\": \"ABD-2\", \"bbox\": [288, 36, 317, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [329, 36, 358, 48]}, {\"cell\": \"Dry matter\", \"bbox\": [35, 52, 81, 63]}, {\"cell\": \"89.36\", \"bbox\": [125, 52, 147, 63]}, {\"cell\": \"59.96\", \"bbox\": [166, 52, 189, 63]}, {\"cell\": \"70.64\", \"bbox\": [208, 52, 230, 63]}, {\"cell\": \"89.36\", \"bbox\": [249, 52, 272, 63]}, {\"cell\": \"45.18\", \"bbox\": [291, 52, 313, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 52, 355, 63]}, {\"cell\": \"Crude protein\", \"bbox\": [29, 63, 87, 74]}, {\"cell\": \"16.01\", \"bbox\": [125, 63, 147, 74]}, {\"cell\": \"16.02\", \"bbox\": [166, 63, 189, 74]}, {\"cell\": \"16.02\", \"bbox\": [208, 63, 230, 74]}, {\"cell\": \"16.01\", \"bbox\": [249, 63, 272, 74]}, {\"cell\": \"16.01\", \"bbox\": [291, 63, 313, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 63, 355, 74]}, {\"cell\": \"Crude Fibre\", \"bbox\": [34, 74, 83, 85]}, {\"cell\": \"19.62\", \"bbox\": [125, 74, 147, 85]}, {\"cell\": \"19.15\", \"bbox\": [166, 74, 189, 85]}, {\"cell\": \"18.67\", \"bbox\": [208, 74, 230, 85]}, {\"cell\": \"19.62\", \"bbox\": [249, 74, 272, 85]}, {\"cell\": \"19.22\", \"bbox\": [291, 74, 313, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 74, 355, 85]}, {\"cell\": \"Neutral detergent fibre\", \"bbox\": [12, 85, 105, 96]}, {\"cell\": \"37.83\", \"bbox\": [125, 85, 147, 96]}, {\"cell\": \"38.52\", \"bbox\": [166, 85, 189, 96]}, {\"cell\": \"38.07\", \"bbox\": [208, 85, 230, 96]}, {\"cell\": \"37.83\", \"bbox\": [249, 85, 272, 96]}, {\"cell\": \"39.81\", \"bbox\": [291, 85, 313, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 85, 355, 96]}, {\"cell\": \"Acid detergent fibre\", \"bbox\": [18, 96, 99, 107]}, {\"cell\": \"24.32\", \"bbox\": [125, 96, 147, 107]}, {\"cell\": \"24.84\", \"bbox\": [166, 96, 189, 107]}, {\"cell\": \"24.26\", \"bbox\": [208, 96, 230, 107]}, {\"cell\": \"24.32\", \"bbox\": [249, 96, 272, 107]}, {\"cell\": \"25.97\", \"bbox\": [291, 96, 313, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 96, 355, 107]}, {\"cell\": \"Acid detergent lignine\", \"bbox\": [13, 107, 104, 118]}, {\"cell\": \"5.65\", \"bbox\": [127, 107, 145, 118]}, {\"cell\": \"4.32\", \"bbox\": [169, 107, 186, 118]}, {\"cell\": \"4.24\", \"bbox\": [210, 107, 228, 118]}, {\"cell\": \"5.65\", \"bbox\": [252, 107, 269, 118]}, {\"cell\": \"3.30\", \"bbox\": [293, 107, 311, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 107, 353, 118]}, {\"cell\": \"Ash\", \"bbox\": [49, 118, 67, 129]}, {\"cell\": \"7.24\", \"bbox\": [127, 118, 145, 129]}, {\"cell\": \"7.08\", \"bbox\": [169, 118, 186, 129]}, {\"cell\": \"7.70\", \"bbox\": [210, 118, 228, 129]}, {\"cell\": \"7.24\", \"bbox\": [252, 118, 269, 129]}, {\"cell\": \"7.38\", \"bbox\": [293, 118, 311, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 118, 353, 129]}, {\"cell\": \"Ether extract\", \"bbox\": [32, 129, 85, 140]}, {\"cell\": \"4.65\", \"bbox\": [127, 129, 145, 140]}, {\"cell\": \"4.85\", \"bbox\": [169, 129, 186, 140]}, {\"cell\": \"5.05\", \"bbox\": [210, 129, 228, 140]}, {\"cell\": \"4.65\", \"bbox\": [252, 129, 269, 140]}, {\"cell\": \"4.89\", \"bbox\": [293, 129, 311, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 129, 353, 140]}, {\"cell\": \"MFU (MFU/kg DM)\", \"bbox\": [16, 140, 100, 151]}, {\"cell\": \"0.92\", \"bbox\": [127, 140, 145, 151]}, {\"cell\": \"0.94\", \"bbox\": [169, 140, 186, 151]}, {\"cell\": \"0.92\", \"bbox\": [210, 140, 228, 151]}, {\"cell\": \"0.92\", \"bbox\": [252, 140, 269, 151]}, {\"cell\": \"0.95\", \"bbox\": [293, 140, 311, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 140, 353, 151]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5742780_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}741{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Isolates</b></td><td colspan=\\\"2\\\"><b>TE display</b></td><td colspan=\\\"6\\\"><b>qPCR</b></td></tr><tr><td rowspan=\\\"2\\\"><b>Anneal at 50°C</b></td><td rowspan=\\\"2\\\"><b>Anneal at 55°C</b></td><td rowspan=\\\"2\\\"><b>18S genes</b></td><td rowspan=\\\"2\\\"><b>28S genes</b></td><td rowspan=\\\"2\\\"><b>Total Pokey</b></td><td rowspan=\\\"2\\\"><b>rDNA Pokey</b></td><td><b>Genome Pokey</b></td><td rowspan=\\\"2\\\"><b>Tif:Gtp</b></td></tr><tr><td><b>(Total-rDNA)</b></td></tr></thead><tbody><tr><td>Diploids with known hybrid status</td><td>19.09 ± 3.99 [11]</td><td>13.83 ± 4.22 [6]</td><td>293.25 ± 111.19 [8]</td><td>486.25 ± 201.36 [8]</td><td>17.81 ± 4.35 [8]</td><td>[EMPTY_CELL]</td><td>12.63 ± 5.04 [8]</td><td>0.91 ± 0.06 [8]</td></tr><tr><td>Polyploids with known hybrid status</td><td>21.50 ± 3.54 [10]</td><td>16.33 ± 1.75 [6]</td><td>214.57 ± 62.34 [7]</td><td>346.67 ± 113.86 [7]</td><td>15.57 ± 3.43 [7]</td><td>[EMPTY_CELL]</td><td>12.48 ± 3.20 [7]</td><td>0.92 ± 0.07 [7]</td></tr><tr><td>Total diploids</td><td>16.64 ± 4.94 [14]</td><td>12.71 ± 4.86 [7]</td><td>292.78 ± 104.02 [9]</td><td>488.28 ± 188.45 [9]</td><td>16.67 ± 5.32 [9]</td><td>[EMPTY_CELL]</td><td>11.61 ± 5.61 [9]</td><td>0.90 ± 0.06 [9]</td></tr><tr><td>Total polyploids</td><td>19.00 ± 4.36 [13]</td><td>14.44 ± 3.17 [9]</td><td>248.03 ± 75.21 [10]</td><td>398.10 ± 127.42 [10]</td><td>14.33 ± 3.45 [10]</td><td>[EMPTY_CELL]</td><td>10.57 ± 4.03 [10]</td><td>0.92 ± 0.08 [10]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Isolates</b>\", \"bbox\": [22, 4, 50, 13]}, {\"cell\": \"<b>TE display</b>\", \"bbox\": [132, 4, 169, 13]}, {\"cell\": \"<b>qPCR</b>\", \"bbox\": [427, 4, 447, 13]}, {\"cell\": \"<b>Anneal at 50°C</b>\", \"bbox\": [89, 17, 142, 27]}, {\"cell\": \"<b>Anneal at 55°C</b>\", \"bbox\": [159, 17, 212, 27]}, {\"cell\": \"<b>18S genes</b>\", \"bbox\": [241, 17, 278, 27]}, {\"cell\": \"<b>28S genes</b>\", \"bbox\": [320, 17, 358, 27]}, {\"cell\": \"<b>Total Pokey</b>\", \"bbox\": [394, 17, 436, 27]}, {\"cell\": \"<b>rDNA Pokey</b>\", \"bbox\": [461, 17, 505, 27]}, {\"cell\": \"<b>Genome Pokey</b>\", \"bbox\": [525, 17, 579, 27]}, {\"cell\": \"<b>Tif:Gtp</b>\", \"bbox\": [608, 17, 633, 27]}, {\"cell\": \"<b>(Total-rDNA)</b>\", \"bbox\": [529, 26, 574, 36]}, {\"cell\": \"Diploids with known hybrid status\", \"bbox\": [2, 39, 71, 58]}, {\"cell\": \"19.09 ± 3.99 [11]\", \"bbox\": [89, 39, 142, 49]}, {\"cell\": \"13.83 ± 4.22 [6]\", \"bbox\": [161, 39, 211, 49]}, {\"cell\": \"293.25 ± 111.19 [8]\", \"bbox\": [229, 39, 290, 49]}, {\"cell\": \"486.25 ± 201.36 [8]\", \"bbox\": [309, 39, 370, 49]}, {\"cell\": \"17.81 ± 4.35 [8]\", \"bbox\": [390, 39, 440, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 39, 506, 49]}, {\"cell\": \"12.63 ± 5.04 [8]\", \"bbox\": [527, 39, 577, 49]}, {\"cell\": \"0.91 ± 0.06 [8]\", \"bbox\": [597, 39, 643, 49]}, {\"cell\": \"Polyploids with known hybrid status\", \"bbox\": [1, 62, 72, 81]}, {\"cell\": \"21.50 ± 3.54 [10]\", \"bbox\": [89, 62, 142, 72]}, {\"cell\": \"16.33 ± 1.75 [6]\", \"bbox\": [161, 62, 211, 72]}, {\"cell\": \"214.57 ± 62.34 [7]\", \"bbox\": [231, 62, 288, 72]}, {\"cell\": \"346.67 ± 113.86 [7]\", \"bbox\": [309, 62, 370, 72]}, {\"cell\": \"15.57 ± 3.43 [7]\", \"bbox\": [390, 62, 440, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 62, 506, 72]}, {\"cell\": \"12.48 ± 3.20 [7]\", \"bbox\": [527, 62, 577, 72]}, {\"cell\": \"0.92 ± 0.07 [7]\", \"bbox\": [597, 62, 643, 72]}, {\"cell\": \"Total diploids\", \"bbox\": [14, 85, 59, 95]}, {\"cell\": \"16.64 ± 4.94 [14]\", \"bbox\": [89, 85, 142, 95]}, {\"cell\": \"12.71 ± 4.86 [7]\", \"bbox\": [161, 85, 211, 95]}, {\"cell\": \"292.78 ± 104.02 [9]\", \"bbox\": [229, 85, 290, 95]}, {\"cell\": \"488.28 ± 188.45 [9]\", \"bbox\": [309, 85, 370, 95]}, {\"cell\": \"16.67 ± 5.32 [9]\", \"bbox\": [390, 85, 440, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 85, 506, 95]}, {\"cell\": \"11.61 ± 5.61 [9]\", \"bbox\": [527, 85, 577, 95]}, {\"cell\": \"0.90 ± 0.06 [9]\", \"bbox\": [597, 85, 643, 95]}, {\"cell\": \"Total polyploids\", \"bbox\": [10, 99, 63, 109]}, {\"cell\": \"19.00 ± 4.36 [13]\", \"bbox\": [89, 99, 142, 109]}, {\"cell\": \"14.44 ± 3.17 [9]\", \"bbox\": [161, 99, 211, 109]}, {\"cell\": \"248.03 ± 75.21 [10]\", \"bbox\": [229, 99, 290, 109]}, {\"cell\": \"398.10 ± 127.42 [10]\", \"bbox\": [307, 99, 372, 109]}, {\"cell\": \"14.33 ± 3.45 [10]\", \"bbox\": [388, 99, 442, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 99, 508, 109]}, {\"cell\": \"10.57 ± 4.03 [10]\", \"bbox\": [525, 99, 579, 109]}, {\"cell\": \"0.92 ± 0.08 [10]\", \"bbox\": [596, 99, 645, 109]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3882798_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}742{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Systematic Name</b></td><td><b>tRNA Isotype</b></td><td><b>Strand</b></td><td colspan=\\\"2\\\"><b>RNAseq tRNA Bounds</b></td><td colspan=\\\"2\\\"><b>Mispredicted tRNA Bounds</b></td><td><b>tRNAscan-SE</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>5’</b></td><td><b>3’</b></td><td><b>5’</b></td><td><b>3’</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>tP(UGG)Q</td><td>Pro</td><td>+</td><td>731</td><td>802</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Not Predicted</td></tr><tr><td>tW(UCA)Q</td><td>Trp</td><td>+</td><td>9,374</td><td>9,444</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>tE(UUC)Q</td><td>Glu</td><td>+</td><td>35,373</td><td>35,444</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>tS(UGA)Q2</td><td>Ser</td><td>+</td><td>48,201</td><td>48,287</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>tT(UGU)Q1</td><td>Thr</td><td>+</td><td>63,862</td><td>63,934</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>4</td></tr><tr><td>tC(GCA)Q</td><td>Cys</td><td>+</td><td>64,415</td><td>64,487</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Not Predicted</td></tr><tr><td>tH(GUG)Q</td><td>His</td><td>+</td><td>64,597</td><td>64,667</td><td>64,596</td><td>[EMPTY_CELL]</td><td>5</td></tr><tr><td>tL(UAA)Q</td><td>Leu</td><td>+</td><td>66,095</td><td>66,176</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>6</td></tr><tr><td>tQ(UUG)Q</td><td>Gln</td><td>+</td><td>66,210</td><td>66,282</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>7</td></tr><tr><td>tK(UUU)Q</td><td>Lys</td><td>+</td><td>67,061</td><td>67,132</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>8</td></tr><tr><td>tR(UCU)Q1</td><td>Arg</td><td>+</td><td>67,309</td><td>67,381</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>9</td></tr><tr><td>tG(UCC)Q</td><td>Gly</td><td>+</td><td>67,468</td><td>67,539</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>10</td></tr><tr><td>tD(GUC)Q</td><td>Asp</td><td>+</td><td>68,322</td><td>68,393</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>11</td></tr><tr><td>tS(GCU)Q1</td><td>Ser</td><td>+</td><td>69,203</td><td>69,285</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Not Predicted</td></tr><tr><td>tR(ACG)Q2</td><td>Arg</td><td>+</td><td>69,289</td><td>69,359</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>12</td></tr><tr><td>tA(UGC)Q</td><td>Ala</td><td>+</td><td>69,846</td><td>69,918</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>13</td></tr><tr><td>tI(GAU)Q</td><td>Ile</td><td>+</td><td>70,162</td><td>70,234</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>14</td></tr><tr><td>tY(GUA)Q</td><td>Tyr</td><td>+</td><td>70,824</td><td>70,908</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Not Predicted</td></tr><tr><td>tN(GUU)Q</td><td>Asn</td><td>+</td><td>71,433</td><td>71,504</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>15</td></tr><tr><td>tM(CAU)Q1</td><td>Met</td><td>+</td><td>72,632</td><td>72,705</td><td>72,630</td><td>[EMPTY_CELL]</td><td>16</td></tr><tr><td>tF(GAA)Q</td><td>Phe</td><td>+</td><td>77,431</td><td>77,502</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>17</td></tr><tr><td>tT(UAG)Q2</td><td>Thr</td><td>Negative</td><td>78,162</td><td>78,091</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>20</td></tr><tr><td>tV(UAC)Q</td><td>Val</td><td>+</td><td>78,533</td><td>78,605</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>18</td></tr><tr><td>tM(CAU)Q2</td><td>fMet</td><td>+</td><td>85,035</td><td>85,107</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>19</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Systematic Name</b>\", \"bbox\": [0, 15, 56, 27]}, {\"cell\": \"<b>tRNA Isotype</b>\", \"bbox\": [84, 15, 126, 27]}, {\"cell\": \"<b>Strand</b>\", \"bbox\": [147, 15, 169, 27]}, {\"cell\": \"<b>RNAseq tRNA Bounds</b>\", \"bbox\": [196, 14, 267, 26]}, {\"cell\": \"<b>Mispredicted tRNA Bounds</b>\", \"bbox\": [303, 14, 389, 26]}, {\"cell\": \"<b>tRNAscan-SE</b>\", \"bbox\": [433, 15, 476, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>5’</b>\", \"bbox\": [196, 26, 203, 38]}, {\"cell\": \"<b>3’</b>\", \"bbox\": [249, 26, 257, 38]}, {\"cell\": \"<b>5’</b>\", \"bbox\": [303, 26, 310, 38]}, {\"cell\": \"<b>3’</b>\", \"bbox\": [368, 26, 375, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"tP(UGG)Q\", \"bbox\": [1, 38, 33, 49]}, {\"cell\": \"Pro\", \"bbox\": [84, 38, 96, 49]}, {\"cell\": \"+\", \"bbox\": [147, 38, 152, 49]}, {\"cell\": \"731\", \"bbox\": [196, 38, 208, 49]}, {\"cell\": \"802\", \"bbox\": [249, 38, 262, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Not Predicted\", \"bbox\": [433, 38, 474, 49]}, {\"cell\": \"tW(UCA)Q\", \"bbox\": [1, 49, 34, 60]}, {\"cell\": \"Trp\", \"bbox\": [84, 49, 95, 60]}, {\"cell\": \"+\", \"bbox\": [147, 49, 152, 60]}, {\"cell\": \"9,374\", \"bbox\": [196, 49, 214, 60]}, {\"cell\": \"9,444\", \"bbox\": [249, 49, 267, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 49, 386, 60]}, {\"cell\": \"1\", \"bbox\": [433, 49, 438, 60]}, {\"cell\": \"tE(UUC)Q\", \"bbox\": [1, 60, 32, 71]}, {\"cell\": \"Glu\", \"bbox\": [84, 60, 96, 71]}, {\"cell\": \"+\", \"bbox\": [147, 60, 152, 71]}, {\"cell\": \"35,373\", \"bbox\": [196, 60, 217, 71]}, {\"cell\": \"35,444\", \"bbox\": [249, 60, 271, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 60, 389, 71]}, {\"cell\": \"2\", \"bbox\": [433, 60, 438, 71]}, {\"cell\": \"tS(UGA)Q2\", \"bbox\": [1, 71, 36, 82]}, {\"cell\": \"Ser\", \"bbox\": [84, 71, 96, 82]}, {\"cell\": \"+\", \"bbox\": [147, 71, 152, 82]}, {\"cell\": \"48,201\", \"bbox\": [196, 71, 217, 82]}, {\"cell\": \"48,287\", \"bbox\": [249, 71, 271, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 71, 389, 82]}, {\"cell\": \"3\", \"bbox\": [433, 71, 438, 82]}, {\"cell\": \"tT(UGU)Q1\", \"bbox\": [1, 82, 36, 93]}, {\"cell\": \"Thr\", \"bbox\": [84, 82, 95, 93]}, {\"cell\": \"+\", \"bbox\": [147, 82, 152, 93]}, {\"cell\": \"63,862\", \"bbox\": [196, 82, 217, 93]}, {\"cell\": \"63,934\", \"bbox\": [249, 82, 271, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 82, 389, 93]}, {\"cell\": \"4\", \"bbox\": [433, 82, 438, 93]}, {\"cell\": \"tC(GCA)Q\", \"bbox\": [1, 93, 32, 104]}, {\"cell\": \"Cys\", \"bbox\": [84, 93, 97, 104]}, {\"cell\": \"+\", \"bbox\": [147, 93, 152, 104]}, {\"cell\": \"64,415\", \"bbox\": [196, 93, 217, 104]}, {\"cell\": \"64,487\", \"bbox\": [249, 93, 271, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 93, 389, 104]}, {\"cell\": \"Not Predicted\", \"bbox\": [433, 93, 474, 104]}, {\"cell\": \"tH(GUG)Q\", \"bbox\": [1, 104, 33, 115]}, {\"cell\": \"His\", \"bbox\": [84, 104, 95, 115]}, {\"cell\": \"+\", \"bbox\": [147, 104, 152, 115]}, {\"cell\": \"64,597\", \"bbox\": [196, 104, 217, 115]}, {\"cell\": \"64,667\", \"bbox\": [249, 104, 271, 115]}, {\"cell\": \"64,596\", \"bbox\": [303, 104, 325, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 104, 389, 115]}, {\"cell\": \"5\", \"bbox\": [433, 104, 438, 115]}, {\"cell\": \"tL(UAA)Q\", \"bbox\": [1, 115, 31, 126]}, {\"cell\": \"Leu\", \"bbox\": [84, 115, 96, 126]}, {\"cell\": \"+\", \"bbox\": [147, 115, 152, 126]}, {\"cell\": \"66,095\", \"bbox\": [196, 115, 217, 126]}, {\"cell\": \"66,176\", \"bbox\": [249, 115, 271, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 115, 389, 126]}, {\"cell\": \"6\", \"bbox\": [433, 115, 438, 126]}, {\"cell\": \"tQ(UUG)Q\", \"bbox\": [1, 126, 33, 137]}, {\"cell\": \"Gln\", \"bbox\": [84, 126, 96, 137]}, {\"cell\": \"+\", \"bbox\": [147, 126, 152, 137]}, {\"cell\": \"66,210\", \"bbox\": [196, 126, 217, 137]}, {\"cell\": \"66,282\", \"bbox\": [249, 126, 271, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 126, 389, 137]}, {\"cell\": \"7\", \"bbox\": [433, 126, 438, 137]}, {\"cell\": \"tK(UUU)Q\", \"bbox\": [1, 137, 32, 148]}, {\"cell\": \"Lys\", \"bbox\": [84, 137, 96, 148]}, {\"cell\": \"+\", \"bbox\": [147, 137, 152, 148]}, {\"cell\": \"67,061\", \"bbox\": [196, 137, 217, 148]}, {\"cell\": \"67,132\", \"bbox\": [249, 137, 271, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 137, 389, 148]}, {\"cell\": \"8\", \"bbox\": [433, 137, 438, 148]}, {\"cell\": \"tR(UCU)Q1\", \"bbox\": [1, 148, 36, 159]}, {\"cell\": \"Arg\", \"bbox\": [84, 148, 96, 159]}, {\"cell\": \"+\", \"bbox\": [147, 148, 152, 159]}, {\"cell\": \"67,309\", \"bbox\": [196, 148, 217, 159]}, {\"cell\": \"67,381\", \"bbox\": [249, 148, 271, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [433, 148, 438, 159]}, {\"cell\": \"tG(UCC)Q\", \"bbox\": [1, 159, 33, 170]}, {\"cell\": \"Gly\", \"bbox\": [84, 159, 95, 170]}, {\"cell\": \"+\", \"bbox\": [147, 159, 152, 170]}, {\"cell\": \"67,468\", \"bbox\": [196, 159, 217, 170]}, {\"cell\": \"67,539\", \"bbox\": [249, 159, 271, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 159, 389, 170]}, {\"cell\": \"10\", \"bbox\": [433, 159, 442, 170]}, {\"cell\": \"tD(GUC)Q\", \"bbox\": [1, 170, 33, 181]}, {\"cell\": \"Asp\", \"bbox\": [84, 170, 97, 181]}, {\"cell\": \"+\", \"bbox\": [147, 170, 152, 181]}, {\"cell\": \"68,322\", \"bbox\": [196, 170, 217, 181]}, {\"cell\": \"68,393\", \"bbox\": [249, 170, 271, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 170, 389, 181]}, {\"cell\": \"11\", \"bbox\": [433, 170, 442, 181]}, {\"cell\": \"tS(GCU)Q1\", \"bbox\": [1, 181, 36, 192]}, {\"cell\": \"Ser\", \"bbox\": [84, 181, 96, 192]}, {\"cell\": \"+\", \"bbox\": [147, 181, 152, 192]}, {\"cell\": \"69,203\", \"bbox\": [196, 181, 217, 192]}, {\"cell\": \"69,285\", \"bbox\": [249, 181, 271, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 181, 389, 192]}, {\"cell\": \"Not Predicted\", \"bbox\": [433, 181, 474, 192]}, {\"cell\": \"tR(ACG)Q2\", \"bbox\": [1, 192, 36, 203]}, {\"cell\": \"Arg\", \"bbox\": [84, 192, 96, 203]}, {\"cell\": \"+\", \"bbox\": [147, 192, 152, 203]}, {\"cell\": \"69,289\", \"bbox\": [196, 192, 217, 203]}, {\"cell\": \"69,359\", \"bbox\": [249, 192, 271, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 192, 389, 203]}, {\"cell\": \"12\", \"bbox\": [433, 192, 442, 203]}, {\"cell\": \"tA(UGC)Q\", \"bbox\": [1, 203, 32, 214]}, {\"cell\": \"Ala\", \"bbox\": [84, 203, 95, 214]}, {\"cell\": \"+\", \"bbox\": [147, 203, 152, 214]}, {\"cell\": \"69,846\", \"bbox\": [196, 203, 217, 214]}, {\"cell\": \"69,918\", \"bbox\": [249, 203, 271, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 203, 389, 214]}, {\"cell\": \"13\", \"bbox\": [433, 203, 442, 214]}, {\"cell\": \"tI(GAU)Q\", \"bbox\": [1, 214, 30, 225]}, {\"cell\": \"Ile\", \"bbox\": [84, 214, 93, 225]}, {\"cell\": \"+\", \"bbox\": [147, 214, 152, 225]}, {\"cell\": \"70,162\", \"bbox\": [196, 214, 217, 225]}, {\"cell\": \"70,234\", \"bbox\": [249, 214, 271, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 214, 389, 225]}, {\"cell\": \"14\", \"bbox\": [433, 214, 442, 225]}, {\"cell\": \"tY(GUA)Q\", \"bbox\": [1, 225, 32, 236]}, {\"cell\": \"Tyr\", \"bbox\": [84, 225, 95, 236]}, {\"cell\": \"+\", \"bbox\": [147, 225, 152, 236]}, {\"cell\": \"70,824\", \"bbox\": [196, 225, 217, 236]}, {\"cell\": \"70,908\", \"bbox\": [249, 225, 271, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 225, 389, 236]}, {\"cell\": \"Not Predicted\", \"bbox\": [433, 225, 474, 236]}, {\"cell\": \"tN(GUU)Q\", \"bbox\": [1, 236, 33, 247]}, {\"cell\": \"Asn\", \"bbox\": [84, 236, 97, 247]}, {\"cell\": \"+\", \"bbox\": [147, 236, 152, 247]}, {\"cell\": \"71,433\", \"bbox\": [196, 236, 217, 247]}, {\"cell\": \"71,504\", \"bbox\": [249, 236, 271, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 236, 389, 247]}, {\"cell\": \"15\", \"bbox\": [433, 236, 442, 247]}, {\"cell\": \"tM(CAU)Q1\", \"bbox\": [1, 247, 36, 258]}, {\"cell\": \"Met\", \"bbox\": [84, 247, 96, 258]}, {\"cell\": \"+\", \"bbox\": [147, 247, 152, 258]}, {\"cell\": \"72,632\", \"bbox\": [196, 247, 217, 258]}, {\"cell\": \"72,705\", \"bbox\": [249, 247, 271, 258]}, {\"cell\": \"72,630\", \"bbox\": [303, 247, 325, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16\", \"bbox\": [433, 247, 442, 258]}, {\"cell\": \"tF(GAA)Q\", \"bbox\": [1, 258, 31, 269]}, {\"cell\": \"Phe\", \"bbox\": [84, 258, 97, 269]}, {\"cell\": \"+\", \"bbox\": [147, 258, 152, 269]}, {\"cell\": \"77,431\", \"bbox\": [196, 258, 217, 269]}, {\"cell\": \"77,502\", \"bbox\": [249, 258, 271, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 258, 389, 269]}, {\"cell\": \"17\", \"bbox\": [433, 258, 442, 269]}, {\"cell\": \"tT(UAG)Q2\", \"bbox\": [1, 269, 35, 280]}, {\"cell\": \"Thr\", \"bbox\": [84, 269, 95, 280]}, {\"cell\": \"Negative\", \"bbox\": [147, 269, 174, 280]}, {\"cell\": \"78,162\", \"bbox\": [196, 269, 217, 280]}, {\"cell\": \"78,091\", \"bbox\": [249, 269, 271, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 269, 389, 280]}, {\"cell\": \"20\", \"bbox\": [433, 269, 442, 280]}, {\"cell\": \"tV(UAC)Q\", \"bbox\": [1, 280, 32, 291]}, {\"cell\": \"Val\", \"bbox\": [84, 280, 95, 291]}, {\"cell\": \"+\", \"bbox\": [147, 280, 152, 291]}, {\"cell\": \"78,533\", \"bbox\": [196, 280, 217, 291]}, {\"cell\": \"78,605\", \"bbox\": [249, 280, 271, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 280, 389, 291]}, {\"cell\": \"18\", \"bbox\": [433, 280, 442, 291]}, {\"cell\": \"tM(CAU)Q2\", \"bbox\": [1, 291, 36, 302]}, {\"cell\": \"fMet\", \"bbox\": [84, 291, 98, 302]}, {\"cell\": \"+\", \"bbox\": [147, 291, 152, 302]}, {\"cell\": \"85,035\", \"bbox\": [196, 291, 217, 302]}, {\"cell\": \"85,107\", \"bbox\": [249, 291, 271, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 291, 389, 302]}, {\"cell\": \"19\", \"bbox\": [433, 291, 442, 302]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3797045_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}743{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Number of CXRs with discrepant scores</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Weighted Kappa</b></td><td><b>Strength of</b></td><td><b><i>n</i> = 250</b></td></tr><tr><td><b>Clinician-clinician combination</b></td><td><b>(95 % CI)</b></td><td><b>agreement<sup>a</sup></b></td><td><b><i>n</i> (%)</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Agreement after independent review</td></tr><tr><td>Pediatrician vs. internal medicine physician</td><td>0.85 (0.73 to 0.98)</td><td>[EMPTY_CELL]</td><td>39 (16)</td></tr><tr><td>Pediatrician vs. internal medicine resident</td><td>0.76 (0.63 to 0.88)</td><td>[EMPTY_CELL]</td><td>48 (19)</td></tr><tr><td>Pediatrician vs. pediatric resident</td><td>0.81 (0.68 to 0.95)</td><td>[EMPTY_CELL]</td><td>51 (20)</td></tr><tr><td>Pediatrician vs. medical student 1</td><td>0.66 (0.53 to 0.78)</td><td>[EMPTY_CELL]</td><td>67 (27)</td></tr><tr><td>Pediatrician vs. medical student 2</td><td>0.63 (0.50 to 0.76)</td><td>[EMPTY_CELL]</td><td>70 (28)</td></tr><tr><td>Pediatrician vs. research nurse</td><td>0.75 (0.62 to 0.88)</td><td>[EMPTY_CELL]</td><td>56 (22)</td></tr><tr><td colspan=\\\"4\\\">Agreement after combined review of CXRs with discrepant scores</td></tr><tr><td>Pediatrician vs. internal medicine physician</td><td>0.98 (0.90 to 1.06)</td><td>[EMPTY_CELL]</td><td>3 (1)</td></tr><tr><td>Pediatrician vs. internal medicine resident</td><td>0.99 (0.87 to 1.12)</td><td>[EMPTY_CELL]</td><td>4 (2)</td></tr><tr><td>Pediatrician vs. pediatric resident</td><td>0.97 (0.84 to 1.09)</td><td>[EMPTY_CELL]</td><td>5 (2)</td></tr><tr><td>Pediatrician vs. medical student 1</td><td>0.99 (0.86 to 1.11)</td><td>[EMPTY_CELL]</td><td>3 (1)</td></tr><tr><td>Pediatrician vs. medical student 2</td><td>0.98 (0.85 to 1.10)</td><td>[EMPTY_CELL]</td><td>3 (1)</td></tr><tr><td>Pediatrician vs. research nurse</td><td>0.99 (0.86 to 1.11)</td><td>[EMPTY_CELL]</td><td>6 (2)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of CXRs with discrepant scores</b>\", \"bbox\": [413, 4, 484, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Weighted Kappa</b>\", \"bbox\": [198, 26, 253, 36]}, {\"cell\": \"<b>Strength of</b>\", \"bbox\": [315, 26, 353, 36]}, {\"cell\": \"<b><i>n</i> = 250</b>\", \"bbox\": [413, 26, 440, 36]}, {\"cell\": \"<b>Clinician-clinician combination</b>\", \"bbox\": [1, 39, 100, 49]}, {\"cell\": \"<b>(95 % CI)</b>\", \"bbox\": [198, 39, 229, 49]}, {\"cell\": \"<b>agreement<sup>a</sup></b>\", \"bbox\": [315, 38, 354, 49]}, {\"cell\": \"<b><i>n</i> (%)</b>\", \"bbox\": [413, 39, 431, 49]}, {\"cell\": \"Agreement after independent review\", \"bbox\": [1, 52, 122, 62]}, {\"cell\": \"Pediatrician vs. internal medicine physician\", \"bbox\": [1, 66, 140, 76]}, {\"cell\": \"0.85 (0.73 to 0.98)\", \"bbox\": [198, 66, 257, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 66, 353, 76]}, {\"cell\": \"39 (16)\", \"bbox\": [413, 66, 437, 76]}, {\"cell\": \"Pediatrician vs. internal medicine resident\", \"bbox\": [1, 80, 136, 90]}, {\"cell\": \"0.76 (0.63 to 0.88)\", \"bbox\": [198, 80, 257, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 80, 337, 90]}, {\"cell\": \"48 (19)\", \"bbox\": [413, 80, 437, 90]}, {\"cell\": \"Pediatrician vs. pediatric resident\", \"bbox\": [1, 94, 107, 104]}, {\"cell\": \"0.81 (0.68 to 0.95)\", \"bbox\": [198, 94, 257, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 94, 353, 104]}, {\"cell\": \"51 (20)\", \"bbox\": [413, 94, 437, 104]}, {\"cell\": \"Pediatrician vs. medical student 1\", \"bbox\": [1, 108, 110, 118]}, {\"cell\": \"0.66 (0.53 to 0.78)\", \"bbox\": [198, 108, 257, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 108, 337, 118]}, {\"cell\": \"67 (27)\", \"bbox\": [413, 108, 437, 118]}, {\"cell\": \"Pediatrician vs. medical student 2\", \"bbox\": [1, 122, 110, 132]}, {\"cell\": \"0.63 (0.50 to 0.76)\", \"bbox\": [198, 122, 257, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 122, 337, 132]}, {\"cell\": \"70 (28)\", \"bbox\": [413, 122, 437, 132]}, {\"cell\": \"Pediatrician vs. research nurse\", \"bbox\": [1, 136, 98, 146]}, {\"cell\": \"0.75 (0.62 to 0.88)\", \"bbox\": [198, 136, 257, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 136, 337, 146]}, {\"cell\": \"56 (22)\", \"bbox\": [413, 136, 437, 146]}, {\"cell\": \"Agreement after combined review of CXRs with discrepant scores\", \"bbox\": [0, 150, 214, 160]}, {\"cell\": \"Pediatrician vs. internal medicine physician\", \"bbox\": [0, 164, 140, 174]}, {\"cell\": \"0.98 (0.90 to 1.06)\", \"bbox\": [198, 164, 257, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 164, 353, 174]}, {\"cell\": \"3 (1)\", \"bbox\": [413, 164, 429, 174]}, {\"cell\": \"Pediatrician vs. internal medicine resident\", \"bbox\": [1, 178, 136, 188]}, {\"cell\": \"0.99 (0.87 to 1.12)\", \"bbox\": [198, 178, 257, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 178, 353, 188]}, {\"cell\": \"4 (2)\", \"bbox\": [413, 178, 429, 188]}, {\"cell\": \"Pediatrician vs. pediatric resident\", \"bbox\": [1, 192, 107, 202]}, {\"cell\": \"0.97 (0.84 to 1.09)\", \"bbox\": [198, 192, 257, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 192, 353, 202]}, {\"cell\": \"5 (2)\", \"bbox\": [413, 192, 429, 202]}, {\"cell\": \"Pediatrician vs. medical student 1\", \"bbox\": [1, 206, 110, 216]}, {\"cell\": \"0.99 (0.86 to 1.11)\", \"bbox\": [198, 206, 257, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 206, 353, 216]}, {\"cell\": \"3 (1)\", \"bbox\": [413, 206, 429, 216]}, {\"cell\": \"Pediatrician vs. medical student 2\", \"bbox\": [1, 220, 110, 230]}, {\"cell\": \"0.98 (0.85 to 1.10)\", \"bbox\": [198, 220, 257, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 220, 353, 230]}, {\"cell\": \"3 (1)\", \"bbox\": [413, 220, 429, 230]}, {\"cell\": \"Pediatrician vs. research nurse\", \"bbox\": [1, 234, 98, 244]}, {\"cell\": \"0.99 (0.86 to 1.11)\", \"bbox\": [198, 234, 257, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 234, 353, 244]}, {\"cell\": \"6 (2)\", \"bbox\": [413, 234, 429, 244]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4696329_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}744{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"5\\\"><b>All systematic reviews of therapeutic interventions: any flow diagram</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>N reviews</b></td><td>[EMPTY_CELL]</td><td><b>Citation to study relationship (% of all diagrams)</b></td><td><b>Citation to study relationship: % of all reviews</b></td></tr><tr><td>2001</td><td>18</td><td>[EMPTY_CELL]</td><td>2 (28.6)</td><td>11.1</td></tr><tr><td>2002</td><td>22</td><td>[EMPTY_CELL]</td><td>5 (62.5)</td><td>22.7</td></tr><tr><td>2003</td><td>15</td><td>[EMPTY_CELL]</td><td>3 (37.5)</td><td>20.0</td></tr><tr><td>2004</td><td>19</td><td>[EMPTY_CELL]</td><td>6 (46.2)</td><td>31.6</td></tr><tr><td>2005</td><td>13</td><td>[EMPTY_CELL]</td><td>4 (57.1)</td><td>30.8</td></tr><tr><td><b>2001–05</b></td><td><b>87</b></td><td>[EMPTY_CELL]</td><td><b>20 (46.5)</b></td><td><b>23.0</b></td></tr><tr><td colspan=\\\"5\\\"><b>Systematic reviews containing a meta-analysis: any flow diagram</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>N reviews</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2001</td><td>7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2002</td><td>10</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2003</td><td>5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2004</td><td>9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2005</td><td>7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>2001–05</b></td><td><b>38</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>All systematic reviews of therapeutic interventions: any flow diagram</b>\", \"bbox\": [4, 5, 273, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N reviews</b>\", \"bbox\": [44, 27, 85, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 27, 169, 36]}, {\"cell\": \"<b>Citation to study relationship (% of all diagrams)</b>\", \"bbox\": [176, 27, 290, 46]}, {\"cell\": \"<b>Citation to study relationship: % of all reviews</b>\", \"bbox\": [308, 27, 486, 36]}, {\"cell\": \"2001\", \"bbox\": [4, 58, 23, 68]}, {\"cell\": \"18\", \"bbox\": [44, 58, 55, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 58, 119, 68]}, {\"cell\": \"2 (28.6)\", \"bbox\": [176, 58, 203, 68]}, {\"cell\": \"11.1\", \"bbox\": [308, 58, 324, 68]}, {\"cell\": \"2002\", \"bbox\": [4, 69, 23, 78]}, {\"cell\": \"22\", \"bbox\": [44, 69, 55, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 69, 119, 78]}, {\"cell\": \"5 (62.5)\", \"bbox\": [176, 69, 203, 78]}, {\"cell\": \"22.7\", \"bbox\": [308, 69, 324, 78]}, {\"cell\": \"2003\", \"bbox\": [4, 79, 23, 88]}, {\"cell\": \"15\", \"bbox\": [44, 79, 55, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 79, 119, 88]}, {\"cell\": \"3 (37.5)\", \"bbox\": [176, 79, 203, 88]}, {\"cell\": \"20.0\", \"bbox\": [308, 79, 324, 88]}, {\"cell\": \"2004\", \"bbox\": [4, 89, 23, 99]}, {\"cell\": \"19\", \"bbox\": [44, 89, 55, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 89, 123, 99]}, {\"cell\": \"6 (46.2)\", \"bbox\": [176, 89, 203, 99]}, {\"cell\": \"31.6\", \"bbox\": [308, 89, 324, 99]}, {\"cell\": \"2005\", \"bbox\": [4, 99, 23, 109]}, {\"cell\": \"13\", \"bbox\": [44, 99, 55, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 99, 119, 109]}, {\"cell\": \"4 (57.1)\", \"bbox\": [176, 99, 203, 109]}, {\"cell\": \"30.8\", \"bbox\": [308, 99, 324, 109]}, {\"cell\": \"<b>2001–05</b>\", \"bbox\": [4, 110, 38, 119]}, {\"cell\": \"<b>87</b>\", \"bbox\": [44, 110, 56, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 110, 127, 119]}, {\"cell\": \"<b>20 (46.5)</b>\", \"bbox\": [175, 110, 211, 119]}, {\"cell\": \"<b>23.0</b>\", \"bbox\": [308, 110, 326, 119]}, {\"cell\": \"<b>Systematic reviews containing a meta-analysis: any flow diagram</b>\", \"bbox\": [4, 132, 254, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N reviews</b>\", \"bbox\": [44, 154, 85, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 154, 169, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2001\", \"bbox\": [4, 176, 23, 186]}, {\"cell\": \"7\", \"bbox\": [44, 176, 51, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 176, 119, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2002\", \"bbox\": [4, 186, 23, 196]}, {\"cell\": \"10\", \"bbox\": [44, 186, 55, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 186, 113, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2003\", \"bbox\": [4, 197, 23, 206]}, {\"cell\": \"5\", \"bbox\": [44, 197, 51, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 197, 113, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2004\", \"bbox\": [4, 207, 23, 217]}, {\"cell\": \"9\", \"bbox\": [44, 207, 51, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 207, 119, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2005\", \"bbox\": [4, 217, 23, 227]}, {\"cell\": \"7\", \"bbox\": [44, 217, 51, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 217, 119, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>2001–05</b>\", \"bbox\": [4, 228, 38, 237]}, {\"cell\": \"<b>38</b>\", \"bbox\": [44, 228, 56, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 228, 127, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2211304_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}745{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Characteristics</b></td><td colspan=\\\"5\\\"><b>Districts</b></td><td rowspan=\\\"2\\\"><b>Total</b></td><td rowspan=\\\"2\\\"><b>Chi square</b></td><td rowspan=\\\"2\\\"><b>P value</b></td></tr><tr><td><b>Asante-Akim North</b></td><td><b>Asante-Akim South</b></td><td><b>Shama</b></td><td><b>Kpone Katamanso District</b></td><td><b>West Gonja</b></td></tr></thead><tbody><tr><td>Total number of LCS per district</td><td>N = 36 (%)</td><td>[EMPTY_CELL]</td><td>N = 36 (%)</td><td>N = 34 (%)</td><td>N = 9 (%)</td><td>149</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"9\\\">LCS distance to the health facility (proximity)</td></tr><tr><td> Up to 100 m</td><td>8 (22.2)</td><td>[EMPTY_CELL]</td><td>2 (5.6)</td><td>8 (23.5)</td><td>3 (33.3)</td><td>32 (21.5)</td><td rowspan=\\\"2\\\">8.643</td><td rowspan=\\\"2\\\">0.071</td></tr><tr><td> More than 100 m</td><td>28 (77.8)</td><td>[EMPTY_CELL]</td><td>34 (94.4)</td><td>26 (76.5)</td><td>6 (66.7)</td><td>117 (78.5)</td></tr><tr><td>Pricing of ACTs</td><td>N = 20</td><td>[EMPTY_CELL]</td><td><sup>†</sup></td><td>N = 20</td><td>N = 27</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Affordable (GHC 1.5 or less)<sup>a</sup></td><td>16 (80.0)</td><td>[EMPTY_CELL]</td><td><sup>†</sup></td><td>14 (70.0)</td><td>17 (63.0)</td><td>58 (66.7)</td><td rowspan=\\\"2\\\">3.092</td><td rowspan=\\\"2\\\">0.378</td></tr><tr><td> Not affordable (more than GHC 1.5)</td><td>4 (20.0)</td><td>[EMPTY_CELL]</td><td><sup>†</sup></td><td>6 (30.0)</td><td>10 (37.0)</td><td>29 (33.3)</td></tr><tr><td>Availability of AMFm ACTs</td><td>N = 20 (%)</td><td>[EMPTY_CELL]</td><td>N = 22 (%)</td><td>N = 20 (%)</td><td>N = 8 (%)</td><td>91</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> ACTs with green leaf logo</td><td>5 (25.0)</td><td>[EMPTY_CELL]</td><td>6 (27.3)</td><td>4 (20.0)</td><td>0 (0.0)</td><td>20 (22.0)</td><td rowspan=\\\"2\\\">2.806</td><td rowspan=\\\"2\\\">0.591</td></tr><tr><td> Others</td><td>15 (75.0)</td><td>[EMPTY_CELL]</td><td>16 (72.7)</td><td>16 (80.0)</td><td>8 (100)</td><td>71 (78.0)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 53, 14]}, {\"cell\": \"<b>Districts</b>\", \"bbox\": [99, 4, 129, 14]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [374, 4, 393, 14]}, {\"cell\": \"<b>Chi square</b>\", \"bbox\": [412, 4, 451, 14]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [456, 4, 483, 14]}, {\"cell\": \"<b>Asante-Akim North</b>\", \"bbox\": [99, 20, 146, 39]}, {\"cell\": \"<b>Asante-Akim South</b>\", \"bbox\": [155, 20, 201, 39]}, {\"cell\": \"<b>Shama</b>\", \"bbox\": [210, 20, 236, 30]}, {\"cell\": \"<b>Kpone Katamanso District</b>\", \"bbox\": [253, 20, 318, 39]}, {\"cell\": \"<b>West Gonja</b>\", \"bbox\": [327, 20, 368, 30]}, {\"cell\": \"Total number of LCS per district\", \"bbox\": [1, 47, 79, 66]}, {\"cell\": \"N = 36 (%)\", \"bbox\": [99, 47, 136, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 47, 191, 57]}, {\"cell\": \"N = 36 (%)\", \"bbox\": [210, 47, 247, 57]}, {\"cell\": \"N = 34 (%)\", \"bbox\": [253, 47, 289, 57]}, {\"cell\": \"N = 9 (%)\", \"bbox\": [327, 47, 359, 57]}, {\"cell\": \"149\", \"bbox\": [374, 47, 387, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LCS distance to the health facility (proximity)\", \"bbox\": [1, 68, 144, 78]}, {\"cell\": \" Up to 100 m\", \"bbox\": [5, 80, 47, 90]}, {\"cell\": \"8 (22.2)\", \"bbox\": [99, 80, 124, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 80, 184, 90]}, {\"cell\": \"2 (5.6)\", \"bbox\": [210, 80, 231, 90]}, {\"cell\": \"8 (23.5)\", \"bbox\": [253, 80, 278, 90]}, {\"cell\": \"3 (33.3)\", \"bbox\": [327, 80, 352, 90]}, {\"cell\": \"32 (21.5)\", \"bbox\": [374, 80, 403, 90]}, {\"cell\": \"8.643\", \"bbox\": [412, 80, 431, 90]}, {\"cell\": \"0.071\", \"bbox\": [456, 80, 475, 90]}, {\"cell\": \" More than 100 m\", \"bbox\": [5, 92, 62, 102]}, {\"cell\": \"28 (77.8)\", \"bbox\": [99, 92, 128, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 92, 184, 102]}, {\"cell\": \"34 (94.4)\", \"bbox\": [210, 92, 239, 102]}, {\"cell\": \"26 (76.5)\", \"bbox\": [253, 92, 282, 102]}, {\"cell\": \"6 (66.7)\", \"bbox\": [327, 92, 352, 102]}, {\"cell\": \"117 (78.5)\", \"bbox\": [374, 92, 407, 102]}, {\"cell\": \"Pricing of ACTs\", \"bbox\": [1, 105, 50, 114]}, {\"cell\": \"N = 20\", \"bbox\": [99, 105, 124, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 105, 179, 114]}, {\"cell\": \"<sup>†</sup>\", \"bbox\": [210, 103, 215, 110]}, {\"cell\": \"N = 20\", \"bbox\": [253, 105, 277, 114]}, {\"cell\": \"N = 27\", \"bbox\": [327, 105, 351, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Affordable (GHC 1.5 or less)<sup>a</sup>\", \"bbox\": [5, 115, 96, 126]}, {\"cell\": \"16 (80.0)\", \"bbox\": [99, 117, 128, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 117, 184, 126]}, {\"cell\": \"<sup>†</sup>\", \"bbox\": [210, 115, 215, 122]}, {\"cell\": \"14 (70.0)\", \"bbox\": [253, 117, 282, 126]}, {\"cell\": \"17 (63.0)\", \"bbox\": [327, 117, 356, 126]}, {\"cell\": \"58 (66.7)\", \"bbox\": [374, 117, 403, 126]}, {\"cell\": \"3.092\", \"bbox\": [412, 117, 431, 126]}, {\"cell\": \"0.378\", \"bbox\": [456, 117, 475, 126]}, {\"cell\": \" Not affordable (more than GHC 1.5)\", \"bbox\": [5, 129, 78, 147]}, {\"cell\": \"4 (20.0)\", \"bbox\": [99, 129, 124, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 129, 180, 138]}, {\"cell\": \"<sup>†</sup>\", \"bbox\": [210, 127, 215, 135]}, {\"cell\": \"6 (30.0)\", \"bbox\": [253, 129, 278, 138]}, {\"cell\": \"10 (37.0)\", \"bbox\": [327, 129, 356, 138]}, {\"cell\": \"29 (33.3)\", \"bbox\": [374, 129, 403, 138]}, {\"cell\": \"Availability of AMFm ACTs\", \"bbox\": [1, 150, 85, 159]}, {\"cell\": \"N = 20 (%)\", \"bbox\": [99, 150, 136, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 150, 191, 159]}, {\"cell\": \"N = 22 (%)\", \"bbox\": [210, 150, 247, 159]}, {\"cell\": \"N = 20 (%)\", \"bbox\": [253, 150, 289, 159]}, {\"cell\": \"N = 8 (%)\", \"bbox\": [327, 150, 359, 159]}, {\"cell\": \"91\", \"bbox\": [374, 150, 384, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ACTs with green leaf logo\", \"bbox\": [5, 162, 89, 171]}, {\"cell\": \"5 (25.0)\", \"bbox\": [99, 162, 124, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 162, 180, 171]}, {\"cell\": \"6 (27.3)\", \"bbox\": [210, 162, 235, 171]}, {\"cell\": \"4 (20.0)\", \"bbox\": [253, 162, 278, 171]}, {\"cell\": \"0 (0.0)\", \"bbox\": [327, 162, 348, 171]}, {\"cell\": \"20 (22.0)\", \"bbox\": [374, 162, 403, 171]}, {\"cell\": \"2.806\", \"bbox\": [412, 162, 431, 172]}, {\"cell\": \"0.591\", \"bbox\": [456, 162, 475, 172]}, {\"cell\": \" Others\", \"bbox\": [5, 174, 29, 184]}, {\"cell\": \"15 (75.0)\", \"bbox\": [99, 174, 128, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 174, 184, 184]}, {\"cell\": \"16 (72.7)\", \"bbox\": [210, 174, 239, 184]}, {\"cell\": \"16 (80.0)\", \"bbox\": [253, 174, 282, 184]}, {\"cell\": \"8 (100)\", \"bbox\": [327, 174, 350, 184]}, {\"cell\": \"71 (78.0)\", \"bbox\": [374, 174, 403, 184]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4862058_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}746{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic at time of first positive NTM culture</b></td><td><b>LAM positive ( <i>n</i>= 9)</b></td><td><b>LAM negative ( <i>n</i>= 14)</b></td><td><b><i>p</i> -value</b></td></tr></thead><tbody><tr><td>Median age (IQR), y</td><td>[EMPTY_CELL]</td><td>16.1 (11.9 – 24.0)</td><td>0.41</td></tr><tr><td>Female, %</td><td>[EMPTY_CELL]</td><td>28.6</td><td>0.01</td></tr><tr><td>Homozygote for Delta 508, %</td><td>[EMPTY_CELL]</td><td>85.7</td><td>0.62</td></tr><tr><td>Median FEV1% of pred. (IQR)</td><td>[EMPTY_CELL]</td><td>70.0 (66.3 – 83.5)</td><td>0.59</td></tr><tr><td>Diabetes mellitus, %</td><td>[EMPTY_CELL]</td><td>28.6</td><td>0.32</td></tr><tr><td>Structurally defective MBL allele*, %</td><td>[EMPTY_CELL]</td><td>7.1</td><td>0.01</td></tr><tr><td>Other chronic infection, %</td><td>[EMPTY_CELL]</td><td>50.0</td><td>0.18</td></tr><tr><td>Received NTM treatment, %</td><td>[EMPTY_CELL]</td><td>57.1</td><td>0.94</td></tr><tr><td>Number of positive NTM cultures</td><td>[EMPTY_CELL]</td><td>6.0 (1.8 – 14.5)</td><td>0.68</td></tr><tr><td>MABSC, %</td><td>[EMPTY_CELL]</td><td>64.3</td><td>0.19</td></tr><tr><td>Fulfilled ATS criteria for NTM, %</td><td>[EMPTY_CELL]</td><td>78.6</td><td>0.52</td></tr><tr><td>Median time positive for NTM (IQR), y</td><td>[EMPTY_CELL]</td><td>3.0 (1.0 – 5.0)</td><td>1.00</td></tr><tr><td>Chronic renal disease**, %</td><td>[EMPTY_CELL]</td><td>14.3</td><td>0.24</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic at time of first positive NTM culture</b>\", \"bbox\": [1, 4, 176, 13]}, {\"cell\": \"<b>LAM positive ( <i>n</i>= 9)</b>\", \"bbox\": [220, 4, 291, 13]}, {\"cell\": \"<b>LAM negative ( <i>n</i>= 14)</b>\", \"bbox\": [335, 4, 413, 13]}, {\"cell\": \"<b><i>p</i> -value</b>\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"Median age (IQR), y\", \"bbox\": [1, 17, 65, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 17, 276, 27]}, {\"cell\": \"16.1 (11.9 – 24.0)\", \"bbox\": [335, 17, 391, 27]}, {\"cell\": \"0.41\", \"bbox\": [457, 17, 472, 27]}, {\"cell\": \"Female, %\", \"bbox\": [1, 31, 35, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 31, 235, 41]}, {\"cell\": \"28.6\", \"bbox\": [335, 31, 350, 41]}, {\"cell\": \"0.01\", \"bbox\": [457, 31, 472, 41]}, {\"cell\": \"Homozygote for Delta 508, %\", \"bbox\": [1, 45, 97, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 45, 235, 55]}, {\"cell\": \"85.7\", \"bbox\": [335, 45, 350, 55]}, {\"cell\": \"0.62\", \"bbox\": [457, 45, 472, 55]}, {\"cell\": \"Median FEV1% of pred. (IQR)\", \"bbox\": [1, 59, 94, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 59, 276, 69]}, {\"cell\": \"70.0 (66.3 – 83.5)\", \"bbox\": [335, 59, 391, 69]}, {\"cell\": \"0.59\", \"bbox\": [457, 59, 472, 69]}, {\"cell\": \"Diabetes mellitus, %\", \"bbox\": [1, 73, 67, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 73, 235, 83]}, {\"cell\": \"28.6\", \"bbox\": [335, 73, 350, 83]}, {\"cell\": \"0.32\", \"bbox\": [457, 73, 472, 83]}, {\"cell\": \"Structurally defective MBL allele*, %\", \"bbox\": [1, 87, 117, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 87, 235, 97]}, {\"cell\": \"7.1\", \"bbox\": [335, 87, 346, 97]}, {\"cell\": \"0.01\", \"bbox\": [457, 87, 472, 97]}, {\"cell\": \"Other chronic infection, %\", \"bbox\": [1, 101, 86, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 101, 235, 111]}, {\"cell\": \"50.0\", \"bbox\": [335, 101, 350, 111]}, {\"cell\": \"0.18\", \"bbox\": [457, 101, 472, 111]}, {\"cell\": \"Received NTM treatment, %\", \"bbox\": [1, 115, 92, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 115, 235, 125]}, {\"cell\": \"57.1\", \"bbox\": [335, 115, 350, 125]}, {\"cell\": \"0.94\", \"bbox\": [457, 115, 472, 125]}, {\"cell\": \"Number of positive NTM cultures\", \"bbox\": [1, 129, 109, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 129, 272, 139]}, {\"cell\": \"6.0 (1.8 – 14.5)\", \"bbox\": [335, 129, 383, 139]}, {\"cell\": \"0.68\", \"bbox\": [457, 129, 472, 139]}, {\"cell\": \"MABSC, %\", \"bbox\": [1, 143, 35, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 143, 235, 153]}, {\"cell\": \"64.3\", \"bbox\": [335, 143, 350, 153]}, {\"cell\": \"0.19\", \"bbox\": [457, 143, 472, 153]}, {\"cell\": \"Fulfilled ATS criteria for NTM, %\", \"bbox\": [1, 157, 103, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 157, 235, 167]}, {\"cell\": \"78.6\", \"bbox\": [335, 157, 350, 167]}, {\"cell\": \"0.52\", \"bbox\": [457, 157, 472, 167]}, {\"cell\": \"Median time positive for NTM (IQR), y\", \"bbox\": [1, 171, 123, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 171, 265, 181]}, {\"cell\": \"3.0 (1.0 – 5.0)\", \"bbox\": [335, 171, 380, 181]}, {\"cell\": \"1.00\", \"bbox\": [457, 171, 472, 181]}, {\"cell\": \"Chronic renal disease**, %\", \"bbox\": [0, 185, 86, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 185, 226, 195]}, {\"cell\": \"14.3\", \"bbox\": [335, 185, 350, 195]}, {\"cell\": \"0.24\", \"bbox\": [457, 185, 472, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4260379_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}747{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Diet (<i>n</i> = 14)</b></td><td><b>Diet-plus-statin (<i>n</i> = 14)</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>63.9 ± 3.3</td><td>60.6 ± 3.4</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender (female/male)</td><td>4/10</td><td>4/10</td><td>[EMPTY_CELL]</td></tr><tr><td>Body mass Index (kg/m<sup>2</sup>)</td><td>24.4 ± 0.7</td><td>24.3 ± 0.9</td><td>[EMPTY_CELL]</td></tr><tr><td>Current smoking (n (%))</td><td>1 (7)</td><td>2 (14)</td><td>[EMPTY_CELL]</td></tr><tr><td>Alcohol (n (%))</td><td>4 (29)</td><td>3 (21)</td><td>[EMPTY_CELL]</td></tr><tr><td>Diabetes mellitus (n (%))</td><td>4 (29)</td><td>5 (36)</td><td>[EMPTY_CELL]</td></tr><tr><td>Hypertention (n (%))</td><td>12 (86)</td><td>12 (86)</td><td>[EMPTY_CELL]</td></tr><tr><td>Cerebrovascular disease (n (%))</td><td>0 (0)</td><td>1 (7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Ischemic heart disease (n (%))</td><td>0 (0)</td><td>1 (7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Cause of CKD (n (%)):</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Diabetic nephropathy</td><td>1 (7)</td><td>2 (14)</td><td>[EMPTY_CELL]</td></tr><tr><td> Chronic glomerulonephritis</td><td>6 (43)</td><td>7 (50)</td><td>[EMPTY_CELL]</td></tr><tr><td> Nephrosclerosis</td><td>6 (43)</td><td>4 (29)</td><td>[EMPTY_CELL]</td></tr><tr><td> Others</td><td>1 (7)</td><td>1 (7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Systolic BP (mmHg)</td><td>133 ± 4</td><td>127 ± 4</td><td>[EMPTY_CELL]</td></tr><tr><td>Diastolic BP (mmHg)</td><td>79 ± 2</td><td>76 ± 2</td><td>[EMPTY_CELL]</td></tr><tr><td>Heart rate (beats/min)</td><td>69 ± 3</td><td>74 ± 2</td><td>[EMPTY_CELL]</td></tr><tr><td>Plasma glucose (mg/dL)</td><td>113 ± 7</td><td>107 ± 4</td><td>[EMPTY_CELL]</td></tr><tr><td>HbA1c (%)</td><td>5.6 ± 0.1</td><td>5.6 ± 0.1</td><td>[EMPTY_CELL]</td></tr><tr><td>TC (mg/dL)</td><td>211 ± 6</td><td>207 ± 7</td><td>[EMPTY_CELL]</td></tr><tr><td>LDL-C (mg/dL)</td><td>139 ± 6</td><td>136 ± 6</td><td>[EMPTY_CELL]</td></tr><tr><td>HDL-C (mg/dL)</td><td>56 ± 3</td><td>56 ± 4</td><td>[EMPTY_CELL]</td></tr><tr><td>TG (mg/dL)</td><td>145 ± 14</td><td>154 ± 20</td><td>[EMPTY_CELL]</td></tr><tr><td>AST (U/L)</td><td>24 ± 1</td><td>20 ± 1</td><td>[EMPTY_CELL]</td></tr><tr><td>ALT (U/L)</td><td>22 ± 2</td><td>20 ± 3</td><td>[EMPTY_CELL]</td></tr><tr><td>Creatine kinase (U/L)</td><td>110 ± 13</td><td>106 ± 13</td><td>[EMPTY_CELL]</td></tr><tr><td>Serum creatinine (mg/dL)</td><td>1.2 ± 0.1</td><td>1.3 ± 0.1</td><td>[EMPTY_CELL]</td></tr><tr><td>Estimated GFR (mL/min/1.73 m<sup>2</sup>)</td><td>50.1 ± 4.9</td><td>48.6 ± 4.7</td><td>[EMPTY_CELL]</td></tr><tr><td>GFR category (n (%)):</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> G1</td><td>1 (7)</td><td>0 (0)</td><td>[EMPTY_CELL]</td></tr><tr><td> G2</td><td>2 (14)</td><td>4 (29)</td><td>[EMPTY_CELL]</td></tr><tr><td> G3a</td><td>5 (36)</td><td>3 (21)</td><td>[EMPTY_CELL]</td></tr><tr><td> G3b</td><td>5 (36)</td><td>6 (43)</td><td>[EMPTY_CELL]</td></tr><tr><td> G4</td><td>1 (7)</td><td>1 (7)</td><td>[EMPTY_CELL]</td></tr><tr><td> G5</td><td>0 (0)</td><td>0 (0)</td><td>[EMPTY_CELL]</td></tr><tr><td>UACR (mg/g-Cr)</td><td>1025 ± 465</td><td>801 ± 254</td><td>[EMPTY_CELL]</td></tr><tr><td>Albuminuria category (n (%)):</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> A2</td><td>7 (50)</td><td>7 (50)</td><td>[EMPTY_CELL]</td></tr><tr><td> A3</td><td>7 (50)</td><td>7 (50)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Diet (<i>n</i> = 14)</b>\", \"bbox\": [186, 4, 227, 13]}, {\"cell\": \"<b>Diet-plus-statin (<i>n</i> = 14)</b>\", \"bbox\": [305, 4, 381, 13]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 17, 38, 27]}, {\"cell\": \"63.9 ± 3.3\", \"bbox\": [186, 17, 218, 27]}, {\"cell\": \"60.6 ± 3.4\", \"bbox\": [305, 17, 337, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 17, 481, 27]}, {\"cell\": \"Gender (female/male)\", \"bbox\": [1, 31, 72, 41]}, {\"cell\": \"4/10\", \"bbox\": [186, 31, 202, 41]}, {\"cell\": \"4/10\", \"bbox\": [305, 31, 321, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 31, 481, 41]}, {\"cell\": \"Body mass Index (kg/m<sup>2</sup>)\", \"bbox\": [1, 43, 83, 55]}, {\"cell\": \"24.4 ± 0.7\", \"bbox\": [186, 45, 218, 55]}, {\"cell\": \"24.3 ± 0.9\", \"bbox\": [305, 45, 337, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 45, 481, 55]}, {\"cell\": \"Current smoking (n (%))\", \"bbox\": [1, 59, 79, 69]}, {\"cell\": \"1 (7)\", \"bbox\": [186, 59, 202, 69]}, {\"cell\": \"2 (14)\", \"bbox\": [305, 59, 325, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 59, 481, 69]}, {\"cell\": \"Alcohol (n (%))\", \"bbox\": [1, 73, 50, 83]}, {\"cell\": \"4 (29)\", \"bbox\": [186, 73, 206, 83]}, {\"cell\": \"3 (21)\", \"bbox\": [305, 73, 325, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 73, 481, 83]}, {\"cell\": \"Diabetes mellitus (n (%))\", \"bbox\": [1, 87, 81, 97]}, {\"cell\": \"4 (29)\", \"bbox\": [186, 87, 206, 97]}, {\"cell\": \"5 (36)\", \"bbox\": [305, 87, 325, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 87, 481, 97]}, {\"cell\": \"Hypertention (n (%))\", \"bbox\": [1, 101, 68, 111]}, {\"cell\": \"12 (86)\", \"bbox\": [186, 101, 210, 111]}, {\"cell\": \"12 (86)\", \"bbox\": [305, 101, 329, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 101, 481, 111]}, {\"cell\": \"Cerebrovascular disease (n (%))\", \"bbox\": [1, 115, 102, 125]}, {\"cell\": \"0 (0)\", \"bbox\": [186, 115, 202, 125]}, {\"cell\": \"1 (7)\", \"bbox\": [305, 115, 321, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 115, 481, 125]}, {\"cell\": \"Ischemic heart disease (n (%))\", \"bbox\": [1, 129, 98, 139]}, {\"cell\": \"0 (0)\", \"bbox\": [186, 129, 202, 139]}, {\"cell\": \"1 (7)\", \"bbox\": [305, 129, 321, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 129, 481, 139]}, {\"cell\": \"Cause of CKD (n (%)):\", \"bbox\": [1, 143, 71, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 143, 481, 153]}, {\"cell\": \" Diabetic nephropathy\", \"bbox\": [8, 157, 80, 167]}, {\"cell\": \"1 (7)\", \"bbox\": [186, 157, 202, 167]}, {\"cell\": \"2 (14)\", \"bbox\": [305, 157, 325, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Chronic glomerulonephritis\", \"bbox\": [8, 171, 98, 181]}, {\"cell\": \"6 (43)\", \"bbox\": [186, 171, 206, 181]}, {\"cell\": \"7 (50)\", \"bbox\": [305, 171, 325, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Nephrosclerosis\", \"bbox\": [8, 185, 60, 195]}, {\"cell\": \"6 (43)\", \"bbox\": [186, 185, 206, 195]}, {\"cell\": \"4 (29)\", \"bbox\": [305, 185, 325, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Others\", \"bbox\": [8, 199, 32, 209]}, {\"cell\": \"1 (7)\", \"bbox\": [186, 199, 202, 209]}, {\"cell\": \"1 (7)\", \"bbox\": [305, 199, 321, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Systolic BP (mmHg)\", \"bbox\": [1, 213, 65, 223]}, {\"cell\": \"133 ± 4\", \"bbox\": [186, 213, 211, 223]}, {\"cell\": \"127 ± 4\", \"bbox\": [305, 213, 330, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 213, 481, 223]}, {\"cell\": \"Diastolic BP (mmHg)\", \"bbox\": [1, 227, 68, 237]}, {\"cell\": \"79 ± 2\", \"bbox\": [186, 227, 207, 237]}, {\"cell\": \"76 ± 2\", \"bbox\": [305, 227, 327, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 227, 481, 237]}, {\"cell\": \"Heart rate (beats/min)\", \"bbox\": [1, 241, 73, 251]}, {\"cell\": \"69 ± 3\", \"bbox\": [186, 241, 207, 251]}, {\"cell\": \"74 ± 2\", \"bbox\": [305, 241, 327, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 241, 481, 251]}, {\"cell\": \"Plasma glucose (mg/dL)\", \"bbox\": [1, 255, 80, 265]}, {\"cell\": \"113 ± 7\", \"bbox\": [186, 255, 211, 265]}, {\"cell\": \"107 ± 4\", \"bbox\": [305, 255, 330, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 255, 481, 265]}, {\"cell\": \"HbA1c (%)\", \"bbox\": [1, 269, 36, 279]}, {\"cell\": \"5.6 ± 0.1\", \"bbox\": [186, 269, 214, 279]}, {\"cell\": \"5.6 ± 0.1\", \"bbox\": [305, 269, 333, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 269, 481, 279]}, {\"cell\": \"TC (mg/dL)\", \"bbox\": [1, 283, 39, 293]}, {\"cell\": \"211 ± 6\", \"bbox\": [186, 283, 211, 293]}, {\"cell\": \"207 ± 7\", \"bbox\": [305, 283, 330, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 283, 481, 293]}, {\"cell\": \"LDL-C (mg/dL)\", \"bbox\": [1, 297, 50, 307]}, {\"cell\": \"139 ± 6\", \"bbox\": [186, 297, 211, 307]}, {\"cell\": \"136 ± 6\", \"bbox\": [305, 297, 330, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 297, 481, 307]}, {\"cell\": \"HDL-C (mg/dL)\", \"bbox\": [1, 311, 51, 321]}, {\"cell\": \"56 ± 3\", \"bbox\": [186, 311, 207, 321]}, {\"cell\": \"56 ± 4\", \"bbox\": [305, 311, 327, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 311, 481, 321]}, {\"cell\": \"TG (mg/dL)\", \"bbox\": [1, 325, 39, 335]}, {\"cell\": \"145 ± 14\", \"bbox\": [186, 325, 215, 335]}, {\"cell\": \"154 ± 20\", \"bbox\": [305, 325, 334, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 325, 481, 335]}, {\"cell\": \"AST (U/L)\", \"bbox\": [1, 339, 32, 349]}, {\"cell\": \"24 ± 1\", \"bbox\": [186, 339, 207, 349]}, {\"cell\": \"20 ± 1\", \"bbox\": [305, 339, 327, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 339, 481, 349]}, {\"cell\": \"ALT (U/L)\", \"bbox\": [1, 353, 32, 363]}, {\"cell\": \"22 ± 2\", \"bbox\": [186, 353, 207, 363]}, {\"cell\": \"20 ± 3\", \"bbox\": [305, 353, 327, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 353, 481, 363]}, {\"cell\": \"Creatine kinase (U/L)\", \"bbox\": [1, 367, 69, 377]}, {\"cell\": \"110 ± 13\", \"bbox\": [186, 367, 215, 377]}, {\"cell\": \"106 ± 13\", \"bbox\": [305, 367, 334, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 367, 481, 377]}, {\"cell\": \"Serum creatinine (mg/dL)\", \"bbox\": [1, 381, 85, 391]}, {\"cell\": \"1.2 ± 0.1\", \"bbox\": [186, 381, 214, 391]}, {\"cell\": \"1.3 ± 0.1\", \"bbox\": [305, 381, 333, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 381, 481, 391]}, {\"cell\": \"Estimated GFR (mL/min/1.73 m<sup>2</sup>)\", \"bbox\": [1, 393, 108, 405]}, {\"cell\": \"50.1 ± 4.9\", \"bbox\": [186, 395, 218, 405]}, {\"cell\": \"48.6 ± 4.7\", \"bbox\": [305, 395, 337, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 395, 481, 405]}, {\"cell\": \"GFR category (n (%)):\", \"bbox\": [1, 409, 70, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 409, 481, 419]}, {\"cell\": \" G1\", \"bbox\": [8, 423, 19, 433]}, {\"cell\": \"1 (7)\", \"bbox\": [186, 423, 202, 433]}, {\"cell\": \"0 (0)\", \"bbox\": [305, 423, 321, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G2\", \"bbox\": [8, 437, 19, 447]}, {\"cell\": \"2 (14)\", \"bbox\": [186, 437, 206, 447]}, {\"cell\": \"4 (29)\", \"bbox\": [305, 437, 325, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G3a\", \"bbox\": [8, 451, 23, 461]}, {\"cell\": \"5 (36)\", \"bbox\": [186, 451, 206, 461]}, {\"cell\": \"3 (21)\", \"bbox\": [305, 451, 325, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G3b\", \"bbox\": [8, 465, 24, 475]}, {\"cell\": \"5 (36)\", \"bbox\": [186, 465, 206, 475]}, {\"cell\": \"6 (43)\", \"bbox\": [305, 465, 325, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G4\", \"bbox\": [8, 479, 19, 489]}, {\"cell\": \"1 (7)\", \"bbox\": [186, 479, 202, 489]}, {\"cell\": \"1 (7)\", \"bbox\": [305, 479, 321, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G5\", \"bbox\": [8, 493, 19, 503]}, {\"cell\": \"0 (0)\", \"bbox\": [186, 493, 202, 503]}, {\"cell\": \"0 (0)\", \"bbox\": [305, 493, 321, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"UACR (mg/g-Cr)\", \"bbox\": [1, 507, 54, 517]}, {\"cell\": \"1025 ± 465\", \"bbox\": [186, 507, 223, 517]}, {\"cell\": \"801 ± 254\", \"bbox\": [305, 507, 338, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 507, 481, 517]}, {\"cell\": \"Albuminuria category (n (%)):\", \"bbox\": [1, 521, 96, 531]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [463, 521, 481, 531]}, {\"cell\": \" A2\", \"bbox\": [8, 535, 19, 545]}, {\"cell\": \"7 (50)\", \"bbox\": [186, 535, 206, 545]}, {\"cell\": \"7 (50)\", \"bbox\": [305, 535, 325, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A3\", \"bbox\": [8, 549, 19, 559]}, {\"cell\": \"7 (50)\", \"bbox\": [186, 549, 206, 559]}, {\"cell\": \"7 (50)\", \"bbox\": [305, 549, 325, 559]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4673714_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}748{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Confidence</b></td><td colspan=\\\"3\\\"><b>Adolescents, No. (%)<sup>a</sup></b></td></tr><tr><td><b>All Ages</b></td><td><b>Age 10–14 y</b></td><td><b>Age 15–19 y</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>N = 1287</b></td><td><b>n = 830</b></td><td><b>n = 457</b></td></tr><tr><td>[EMPTY_CELL]</td><td>28 (2.2)</td><td>18 (2.2)</td><td>10 (2.2)</td></tr><tr><td>[EMPTY_CELL]</td><td>49 (3.8)</td><td>43 (5.2)</td><td>6 (1.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>127 (9.9)</td><td>97 (11.7)</td><td>30 (6.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>1083 (84.2)</td><td>672 (81.0)</td><td>411 (89.9)</td></tr><tr><td>[EMPTY_CELL]</td><td><b>N = 1283</b></td><td><b>n = 826</b></td><td><b>n = 457</b></td></tr><tr><td>[EMPTY_CELL]</td><td>15 (1.2)</td><td>11 (1.3)</td><td>4 (0.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>19 (1.5)</td><td>16 (1.9)</td><td>3 (0.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>38 (3.0)</td><td>23 (2.8)</td><td>15 (3.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>478 (37.3)</td><td>184 (22.3)</td><td>294 (64.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>733 (57.1)</td><td>592 (71.7)</td><td>141 (30.9)</td></tr><tr><td>[EMPTY_CELL]</td><td><b>N = 1288</b></td><td><b>n = 832</b></td><td><b>n = 456</b></td></tr><tr><td>[EMPTY_CELL]</td><td>7 (0.5)</td><td>5 (0.6)</td><td>2 (0.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>16 (1.2)</td><td>8 (1.0)</td><td>8 (1.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>58 (4.5)</td><td>26 (3.1)</td><td>32 (7.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>481 (37.3)</td><td>157 (18.9)</td><td>324 (71.1)</td></tr><tr><td>[EMPTY_CELL]</td><td>726 (56.4)</td><td>636 (76.4)</td><td>90 (19.7)</td></tr><tr><td>[EMPTY_CELL]</td><td><b>N = 561</b></td><td><b>n = 195</b></td><td><b>n = 366</b></td></tr><tr><td>[EMPTY_CELL]</td><td>16 (2.8)</td><td>10 (5.1)</td><td>6 (1.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>19 (3.4)</td><td>7 (3.6)</td><td>12 (3.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>56 (10.0)</td><td>27 (13.9)</td><td>29 (7.9)</td></tr><tr><td>[EMPTY_CELL]</td><td>470 (83.8)</td><td>151 (77.4)</td><td>319 (87.2)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Confidence</b>\", \"bbox\": [1, 24, 38, 33]}, {\"cell\": \"<b>Adolescents, No. (%)<sup>a</sup></b>\", \"bbox\": [344, 6, 414, 16]}, {\"cell\": \"<b>All Ages</b>\", \"bbox\": [264, 24, 291, 33]}, {\"cell\": \"<b>Age 10–14 y</b>\", \"bbox\": [357, 24, 397, 33]}, {\"cell\": \"<b>Age 15–19 y</b>\", \"bbox\": [458, 24, 498, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 37, 76, 47]}, {\"cell\": \"<b>N = 1287</b>\", \"bbox\": [263, 39, 294, 47]}, {\"cell\": \"<b>n = 830</b>\", \"bbox\": [364, 39, 390, 47]}, {\"cell\": \"<b>n = 457</b>\", \"bbox\": [465, 39, 491, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 50, 68, 58]}, {\"cell\": \"28 (2.2)\", \"bbox\": [267, 50, 292, 58]}, {\"cell\": \"18 (2.2)\", \"bbox\": [365, 50, 390, 58]}, {\"cell\": \"10 (2.2)\", \"bbox\": [466, 50, 491, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 61, 67, 69]}, {\"cell\": \"49 (3.8)\", \"bbox\": [267, 61, 292, 69]}, {\"cell\": \"43 (5.2)\", \"bbox\": [365, 61, 390, 69]}, {\"cell\": \"6 (1.3)\", \"bbox\": [469, 61, 490, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 72, 74, 80]}, {\"cell\": \"127 (9.9)\", \"bbox\": [263, 72, 292, 80]}, {\"cell\": \"97 (11.7)\", \"bbox\": [365, 72, 392, 80]}, {\"cell\": \"30 (6.6)\", \"bbox\": [466, 72, 491, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 83, 54, 91]}, {\"cell\": \"1083 (84.2)\", \"bbox\": [259, 83, 296, 91]}, {\"cell\": \"672 (81.0)\", \"bbox\": [361, 83, 393, 91]}, {\"cell\": \"411 (89.9)\", \"bbox\": [463, 83, 495, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 92, 153, 102]}, {\"cell\": \"<b>N = 1283</b>\", \"bbox\": [263, 94, 294, 102]}, {\"cell\": \"<b>n = 826</b>\", \"bbox\": [364, 94, 390, 102]}, {\"cell\": \"<b>n = 457</b>\", \"bbox\": [465, 94, 491, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 105, 68, 113]}, {\"cell\": \"15 (1.2)\", \"bbox\": [267, 105, 291, 113]}, {\"cell\": \"11 (1.3)\", \"bbox\": [365, 105, 389, 113]}, {\"cell\": \"4 (0.9)\", \"bbox\": [469, 105, 491, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 116, 67, 125]}, {\"cell\": \"19 (1.5)\", \"bbox\": [267, 116, 291, 125]}, {\"cell\": \"16 (1.9)\", \"bbox\": [365, 116, 389, 125]}, {\"cell\": \"3 (0.7)\", \"bbox\": [469, 116, 491, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 127, 74, 136]}, {\"cell\": \"38 (3.0)\", \"bbox\": [267, 127, 292, 136]}, {\"cell\": \"23 (2.8)\", \"bbox\": [365, 127, 390, 136]}, {\"cell\": \"15 (3.3)\", \"bbox\": [466, 127, 491, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 138, 54, 147]}, {\"cell\": \"478 (37.3)\", \"bbox\": [263, 138, 295, 147]}, {\"cell\": \"184 (22.3)\", \"bbox\": [361, 138, 394, 147]}, {\"cell\": \"294 (64.3)\", \"bbox\": [462, 138, 495, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 149, 75, 158]}, {\"cell\": \"733 (57.1)\", \"bbox\": [263, 149, 295, 158]}, {\"cell\": \"592 (71.7)\", \"bbox\": [361, 149, 393, 158]}, {\"cell\": \"141 (30.9)\", \"bbox\": [462, 149, 495, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 159, 160, 169]}, {\"cell\": \"<b>N = 1288</b>\", \"bbox\": [263, 160, 294, 169]}, {\"cell\": \"<b>n = 832</b>\", \"bbox\": [364, 160, 390, 169]}, {\"cell\": \"<b>n = 456</b>\", \"bbox\": [465, 160, 491, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 171, 68, 180]}, {\"cell\": \"7 (0.5)\", \"bbox\": [271, 171, 292, 180]}, {\"cell\": \"5 (0.6)\", \"bbox\": [368, 171, 390, 180]}, {\"cell\": \"2 (0.4)\", \"bbox\": [469, 171, 491, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 182, 67, 191]}, {\"cell\": \"16 (1.2)\", \"bbox\": [267, 182, 291, 191]}, {\"cell\": \"8 (1.0)\", \"bbox\": [368, 182, 389, 191]}, {\"cell\": \"8 (1.8)\", \"bbox\": [469, 182, 490, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 193, 74, 202]}, {\"cell\": \"58 (4.5)\", \"bbox\": [267, 193, 292, 202]}, {\"cell\": \"26 (3.1)\", \"bbox\": [365, 193, 390, 202]}, {\"cell\": \"32 (7.0)\", \"bbox\": [466, 193, 489, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 205, 54, 213]}, {\"cell\": \"481 (37.3)\", \"bbox\": [263, 205, 295, 213]}, {\"cell\": \"157 (18.9)\", \"bbox\": [361, 205, 394, 213]}, {\"cell\": \"324 (71.1)\", \"bbox\": [462, 205, 494, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 216, 68, 224]}, {\"cell\": \"726 (56.4)\", \"bbox\": [263, 216, 296, 224]}, {\"cell\": \"636 (76.4)\", \"bbox\": [361, 216, 393, 224]}, {\"cell\": \"90 (19.7)\", \"bbox\": [466, 216, 494, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 212, 235]}, {\"cell\": \"<b>N = 561</b>\", \"bbox\": [263, 227, 290, 235]}, {\"cell\": \"<b>n = 195</b>\", \"bbox\": [364, 227, 390, 235]}, {\"cell\": \"<b>n = 366</b>\", \"bbox\": [465, 227, 491, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 238, 68, 246]}, {\"cell\": \"16 (2.8)\", \"bbox\": [267, 238, 292, 246]}, {\"cell\": \"10 (5.1)\", \"bbox\": [365, 238, 390, 246]}, {\"cell\": \"6 (1.6)\", \"bbox\": [469, 238, 490, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 249, 67, 257]}, {\"cell\": \"19 (3.4)\", \"bbox\": [267, 249, 292, 257]}, {\"cell\": \"7 (3.6)\", \"bbox\": [368, 249, 390, 257]}, {\"cell\": \"12 (3.3)\", \"bbox\": [466, 249, 491, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 260, 74, 268]}, {\"cell\": \"56 (10.0)\", \"bbox\": [267, 260, 295, 268]}, {\"cell\": \"27 (13.9)\", \"bbox\": [365, 260, 393, 268]}, {\"cell\": \"29 (7.9)\", \"bbox\": [466, 260, 489, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 271, 54, 279]}, {\"cell\": \"470 (83.8)\", \"bbox\": [263, 271, 296, 279]}, {\"cell\": \"151 (77.4)\", \"bbox\": [361, 271, 392, 279]}, {\"cell\": \"319 (87.2)\", \"bbox\": [462, 271, 493, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5888964_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}749{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Selective causes of death</b></td><td colspan=\\\"2\\\"><b>1997</b></td><td colspan=\\\"2\\\"><b>2014</b></td><td rowspan=\\\"2\\\"><b>PC<sup>†</sup> (%)</b></td><td rowspan=\\\"2\\\"><b>APC<sup>†</sup> (%)</b></td><td rowspan=\\\"2\\\"><b>95% CI</b></td></tr><tr><td><b>Case</b></td><td><b>Rate<sup>*</sup></b></td><td><b>Case</b></td><td><b>Rate<sup>*</sup></b></td></tr></thead><tbody><tr><td>Septicemia</td><td>1</td><td>0.02</td><td>6</td><td>0.08</td><td>[EMPTY_CELL]</td><td>−2.08</td><td>−7.53, 3.69</td></tr><tr><td>Pneumonia</td><td>29</td><td>0.60</td><td>8</td><td>0.10</td><td>[EMPTY_CELL]</td><td>−7.87</td><td>−11.51, −4.09</td></tr><tr><td>Congenital heart disease</td><td>38</td><td>0.78</td><td>11</td><td>0.14</td><td>[EMPTY_CELL]</td><td>−7.32</td><td>−9.65, −4.93</td></tr><tr><td>Preterm birth and low birth weight</td><td>77</td><td>1.58</td><td>66</td><td>0.83</td><td>[EMPTY_CELL]</td><td>−2.47</td><td>−4.31, −0.59</td></tr><tr><td>Birth asphyxia</td><td>89</td><td>1.83</td><td>20</td><td>0.25</td><td>[EMPTY_CELL]</td><td>−11.04</td><td>−11.98, −10.09</td></tr><tr><td>Intracranial hemorrhage of the newborn</td><td>28</td><td>0.58</td><td>3</td><td>0.04</td><td>[EMPTY_CELL]</td><td>−10.68</td><td>−13.30, −7.99</td></tr><tr><td>Accidental asphyxia</td><td>5</td><td>0.10</td><td>2</td><td>0.03</td><td>[EMPTY_CELL]</td><td>−3.63</td><td>−11.09, 4.45</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Selective causes of death</b>\", \"bbox\": [50, 12, 156, 23]}, {\"cell\": \"<b>1997</b>\", \"bbox\": [225, 5, 246, 15]}, {\"cell\": \"<b>2014</b>\", \"bbox\": [290, 5, 312, 15]}, {\"cell\": \"<b>PC<sup>†</sup> (%)</b>\", \"bbox\": [338, 11, 375, 23]}, {\"cell\": \"<b>APC<sup>†</sup> (%)</b>\", \"bbox\": [382, 11, 426, 23]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [446, 12, 482, 23]}, {\"cell\": \"<b>Case</b>\", \"bbox\": [208, 19, 231, 30]}, {\"cell\": \"<b>Rate<sup>*</sup></b>\", \"bbox\": [239, 19, 264, 30]}, {\"cell\": \"<b>Case</b>\", \"bbox\": [272, 19, 295, 30]}, {\"cell\": \"<b>Rate<sup>*</sup></b>\", \"bbox\": [305, 19, 329, 30]}, {\"cell\": \"Septicemia\", \"bbox\": [5, 34, 51, 45]}, {\"cell\": \"1\", \"bbox\": [216, 34, 223, 45]}, {\"cell\": \"0.02\", \"bbox\": [242, 34, 261, 45]}, {\"cell\": \"6\", \"bbox\": [280, 34, 287, 45]}, {\"cell\": \"0.08\", \"bbox\": [307, 34, 327, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 34, 371, 45]}, {\"cell\": \"−2.08\", \"bbox\": [391, 31, 417, 46]}, {\"cell\": \"−7.53, 3.69\", \"bbox\": [440, 31, 488, 46]}, {\"cell\": \"Pneumonia\", \"bbox\": [5, 49, 52, 60]}, {\"cell\": \"29\", \"bbox\": [214, 49, 225, 60]}, {\"cell\": \"0.60\", \"bbox\": [242, 49, 261, 60]}, {\"cell\": \"8\", \"bbox\": [280, 49, 287, 60]}, {\"cell\": \"0.10\", \"bbox\": [307, 49, 327, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 46, 372, 61]}, {\"cell\": \"−7.87\", \"bbox\": [391, 46, 417, 61]}, {\"cell\": \"−11.51, −4.09\", \"bbox\": [435, 46, 493, 61]}, {\"cell\": \"Congenital heart disease\", \"bbox\": [5, 64, 105, 75]}, {\"cell\": \"38\", \"bbox\": [214, 64, 226, 75]}, {\"cell\": \"0.78\", \"bbox\": [242, 64, 261, 75]}, {\"cell\": \"11\", \"bbox\": [278, 64, 289, 75]}, {\"cell\": \"0.14\", \"bbox\": [307, 64, 327, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 61, 372, 76]}, {\"cell\": \"−7.32\", \"bbox\": [391, 61, 417, 76]}, {\"cell\": \"−9.65, −4.93\", \"bbox\": [437, 61, 491, 76]}, {\"cell\": \"Preterm birth and low birth weight\", \"bbox\": [5, 76, 146, 91]}, {\"cell\": \"77\", \"bbox\": [214, 79, 226, 90]}, {\"cell\": \"1.58\", \"bbox\": [242, 79, 261, 90]}, {\"cell\": \"66\", \"bbox\": [278, 79, 290, 90]}, {\"cell\": \"0.83\", \"bbox\": [307, 79, 327, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 76, 372, 91]}, {\"cell\": \"−2.47\", \"bbox\": [391, 76, 417, 91]}, {\"cell\": \"−4.31, −0.59\", \"bbox\": [437, 76, 491, 91]}, {\"cell\": \"Birth asphyxia\", \"bbox\": [5, 94, 66, 105]}, {\"cell\": \"89\", \"bbox\": [214, 94, 226, 105]}, {\"cell\": \"1.83\", \"bbox\": [242, 94, 261, 105]}, {\"cell\": \"20\", \"bbox\": [278, 94, 290, 105]}, {\"cell\": \"0.25\", \"bbox\": [307, 94, 327, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 91, 372, 106]}, {\"cell\": \"−11.04\", \"bbox\": [389, 91, 419, 106]}, {\"cell\": \"−11.98, −10.09\", \"bbox\": [433, 91, 495, 106]}, {\"cell\": \"Intracranial hemorrhage of the newborn\", \"bbox\": [5, 106, 166, 121]}, {\"cell\": \"28\", \"bbox\": [214, 109, 226, 120]}, {\"cell\": \"0.58\", \"bbox\": [242, 109, 261, 120]}, {\"cell\": \"3\", \"bbox\": [280, 109, 287, 120]}, {\"cell\": \"0.04\", \"bbox\": [307, 109, 327, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 106, 372, 121]}, {\"cell\": \"−10.68\", \"bbox\": [389, 106, 419, 121]}, {\"cell\": \"−13.30, −7.99\", \"bbox\": [435, 106, 493, 121]}, {\"cell\": \"Accidental asphyxia\", \"bbox\": [5, 124, 88, 135]}, {\"cell\": \"5\", \"bbox\": [216, 124, 223, 135]}, {\"cell\": \"0.10\", \"bbox\": [242, 124, 261, 135]}, {\"cell\": \"2\", \"bbox\": [280, 124, 287, 135]}, {\"cell\": \"0.03\", \"bbox\": [307, 124, 327, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 121, 372, 136]}, {\"cell\": \"−3.63\", \"bbox\": [391, 121, 417, 136]}, {\"cell\": \"−11.09, 4.45\", \"bbox\": [438, 121, 490, 136]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4941338_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}750{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>CAMPs</b></td><td><b>CAMP-t1</b></td><td><b>CAMP-t2</b></td><td><b>CAMP-A</b></td><td><b>CAMP-B</b></td><td><b>AvBD-6</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>MIC (μg/ml)</td><td>MIC (μg/ml)</td><td>MIC (μg/ml)</td><td>MIC (μg/ml)</td><td>MIC (μg/ml)</td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>64</td><td>16</td><td>32</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>64</td><td>16</td><td>32</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>128</td><td>16</td><td>64</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>128</td><td>16</td><td>64</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>64</td><td>8</td><td>32</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>256</td><td>16</td><td>64</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>64</td><td>16</td><td>64</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>128</td><td>16</td><td>64</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>128</td><td>16</td><td>64</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>256</td><td>16</td><td>64</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>64</td><td>16</td><td>32</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>122.18 ± 19.29<sup>a</sup></td><td>122.18 ± 72.71<sup>a</sup></td><td>15.27 ± 2.41<sup>c</sup></td><td>52.36 ± 16.14<sup>b</sup></td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>64</td><td>32</td><td>32</td><td>256</td></tr><tr><td>[EMPTY_CELL]</td><td>256</td><td>32</td><td>16</td><td>32</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>256</td><td>32</td><td>16</td><td>64</td><td>256</td></tr><tr><td>[EMPTY_CELL]</td><td>256</td><td>64</td><td>16</td><td>64</td><td>256</td></tr><tr><td>[EMPTY_CELL]</td><td>128</td><td>32</td><td>16</td><td>32</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>32</td><td>16</td><td>32</td><td>256</td></tr><tr><td>[EMPTY_CELL]</td><td>256</td><td>32</td><td>32</td><td>32</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>256</td><td>128</td><td>32</td><td>32</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>256</td><td>32</td><td>16</td><td>64</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>256</td><td>32</td><td>16</td><td>64</td><td>> 256</td></tr><tr><td>[EMPTY_CELL]</td><td>256</td><td>32</td><td>32</td><td>64</td><td>256</td></tr><tr><td>[EMPTY_CELL]</td><td>209.45 ± 81.41<sup>a</sup></td><td>46.55 ± 29.89<sup>b</sup></td><td>21.82 ± 8.07<sup>c</sup></td><td>46.55 ± 16.71<sup>b</sup></td><td>≥256</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>CAMPs</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>CAMP-t1</b>\", \"bbox\": [132, 4, 162, 13]}, {\"cell\": \"<b>CAMP-t2</b>\", \"bbox\": [213, 4, 243, 13]}, {\"cell\": \"<b>CAMP-A</b>\", \"bbox\": [294, 4, 322, 13]}, {\"cell\": \"<b>CAMP-B</b>\", \"bbox\": [367, 4, 394, 13]}, {\"cell\": \"<b>AvBD-6</b>\", \"bbox\": [444, 4, 470, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 68, 36]}, {\"cell\": \"MIC (μg/ml)\", \"bbox\": [132, 17, 173, 27]}, {\"cell\": \"MIC (μg/ml)\", \"bbox\": [213, 17, 253, 27]}, {\"cell\": \"MIC (μg/ml)\", \"bbox\": [294, 17, 334, 27]}, {\"cell\": \"MIC (μg/ml)\", \"bbox\": [367, 17, 407, 27]}, {\"cell\": \"MIC (μg/ml)\", \"bbox\": [444, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 89, 50]}, {\"cell\": \"64\", \"bbox\": [132, 40, 142, 50]}, {\"cell\": \"64\", \"bbox\": [213, 40, 223, 50]}, {\"cell\": \"16\", \"bbox\": [294, 40, 303, 50]}, {\"cell\": \"32\", \"bbox\": [367, 40, 376, 50]}, {\"cell\": \"> 256\", \"bbox\": [444, 40, 464, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 52, 82, 64]}, {\"cell\": \"128\", \"bbox\": [132, 54, 146, 64]}, {\"cell\": \"64\", \"bbox\": [213, 54, 223, 64]}, {\"cell\": \"16\", \"bbox\": [294, 54, 303, 64]}, {\"cell\": \"32\", \"bbox\": [367, 54, 376, 64]}, {\"cell\": \"> 256\", \"bbox\": [444, 54, 464, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 66, 82, 78]}, {\"cell\": \"128\", \"bbox\": [132, 68, 146, 78]}, {\"cell\": \"128\", \"bbox\": [213, 68, 226, 78]}, {\"cell\": \"16\", \"bbox\": [294, 68, 303, 78]}, {\"cell\": \"64\", \"bbox\": [367, 68, 376, 78]}, {\"cell\": \"> 256\", \"bbox\": [444, 68, 464, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 82, 92]}, {\"cell\": \"128\", \"bbox\": [132, 82, 146, 92]}, {\"cell\": \"128\", \"bbox\": [213, 82, 226, 92]}, {\"cell\": \"16\", \"bbox\": [294, 82, 303, 92]}, {\"cell\": \"64\", \"bbox\": [367, 82, 376, 92]}, {\"cell\": \"> 256\", \"bbox\": [444, 82, 464, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 94, 82, 106]}, {\"cell\": \"128\", \"bbox\": [132, 96, 146, 106]}, {\"cell\": \"64\", \"bbox\": [213, 96, 223, 106]}, {\"cell\": \"8\", \"bbox\": [294, 96, 300, 106]}, {\"cell\": \"32\", \"bbox\": [367, 96, 376, 106]}, {\"cell\": \"> 256\", \"bbox\": [444, 96, 464, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 108, 82, 120]}, {\"cell\": \"128\", \"bbox\": [132, 110, 146, 120]}, {\"cell\": \"256\", \"bbox\": [213, 110, 226, 120]}, {\"cell\": \"16\", \"bbox\": [294, 110, 303, 120]}, {\"cell\": \"64\", \"bbox\": [367, 110, 376, 120]}, {\"cell\": \"> 256\", \"bbox\": [444, 110, 464, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 122, 82, 134]}, {\"cell\": \"128\", \"bbox\": [132, 124, 146, 134]}, {\"cell\": \"64\", \"bbox\": [213, 124, 223, 134]}, {\"cell\": \"16\", \"bbox\": [294, 124, 303, 134]}, {\"cell\": \"64\", \"bbox\": [367, 124, 376, 134]}, {\"cell\": \"> 256\", \"bbox\": [444, 124, 464, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 136, 82, 148]}, {\"cell\": \"128\", \"bbox\": [132, 138, 146, 148]}, {\"cell\": \"128\", \"bbox\": [213, 138, 226, 148]}, {\"cell\": \"16\", \"bbox\": [294, 138, 303, 148]}, {\"cell\": \"64\", \"bbox\": [367, 138, 376, 148]}, {\"cell\": \"> 256\", \"bbox\": [444, 138, 464, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 150, 82, 162]}, {\"cell\": \"128\", \"bbox\": [132, 152, 146, 162]}, {\"cell\": \"128\", \"bbox\": [213, 152, 226, 162]}, {\"cell\": \"16\", \"bbox\": [294, 152, 303, 162]}, {\"cell\": \"64\", \"bbox\": [367, 152, 376, 162]}, {\"cell\": \"> 256\", \"bbox\": [444, 152, 464, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 164, 82, 176]}, {\"cell\": \"128\", \"bbox\": [132, 166, 146, 176]}, {\"cell\": \"256\", \"bbox\": [213, 166, 226, 176]}, {\"cell\": \"16\", \"bbox\": [294, 166, 303, 176]}, {\"cell\": \"64\", \"bbox\": [367, 166, 376, 176]}, {\"cell\": \"> 256\", \"bbox\": [444, 166, 464, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 178, 82, 190]}, {\"cell\": \"128\", \"bbox\": [132, 180, 146, 190]}, {\"cell\": \"64\", \"bbox\": [213, 180, 223, 190]}, {\"cell\": \"16\", \"bbox\": [294, 180, 303, 190]}, {\"cell\": \"32\", \"bbox\": [367, 180, 376, 190]}, {\"cell\": \"> 256\", \"bbox\": [444, 180, 464, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 194, 42, 204]}, {\"cell\": \"122.18 ± 19.29<sup>a</sup>\", \"bbox\": [132, 192, 182, 204]}, {\"cell\": \"122.18 ± 72.71<sup>a</sup>\", \"bbox\": [213, 192, 263, 204]}, {\"cell\": \"15.27 ± 2.41<sup>c</sup>\", \"bbox\": [294, 192, 336, 204]}, {\"cell\": \"52.36 ± 16.14<sup>b</sup>\", \"bbox\": [367, 192, 413, 204]}, {\"cell\": \"> 256\", \"bbox\": [444, 194, 464, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 208, 75, 218]}, {\"cell\": \"64\", \"bbox\": [132, 208, 142, 218]}, {\"cell\": \"64\", \"bbox\": [213, 208, 223, 218]}, {\"cell\": \"32\", \"bbox\": [294, 208, 303, 218]}, {\"cell\": \"32\", \"bbox\": [367, 208, 376, 218]}, {\"cell\": \"256\", \"bbox\": [444, 208, 458, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 220, 101, 232]}, {\"cell\": \"256\", \"bbox\": [132, 222, 146, 232]}, {\"cell\": \"32\", \"bbox\": [213, 222, 223, 232]}, {\"cell\": \"16\", \"bbox\": [294, 222, 303, 232]}, {\"cell\": \"32\", \"bbox\": [367, 222, 376, 232]}, {\"cell\": \"> 256\", \"bbox\": [444, 222, 464, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 234, 101, 246]}, {\"cell\": \"256\", \"bbox\": [132, 236, 146, 246]}, {\"cell\": \"32\", \"bbox\": [213, 236, 223, 246]}, {\"cell\": \"16\", \"bbox\": [294, 236, 303, 246]}, {\"cell\": \"64\", \"bbox\": [367, 236, 376, 246]}, {\"cell\": \"256\", \"bbox\": [444, 236, 458, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 248, 101, 260]}, {\"cell\": \"256\", \"bbox\": [132, 250, 146, 260]}, {\"cell\": \"64\", \"bbox\": [213, 250, 223, 260]}, {\"cell\": \"16\", \"bbox\": [294, 250, 303, 260]}, {\"cell\": \"64\", \"bbox\": [367, 250, 376, 260]}, {\"cell\": \"256\", \"bbox\": [444, 250, 458, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 262, 101, 274]}, {\"cell\": \"128\", \"bbox\": [132, 264, 146, 274]}, {\"cell\": \"32\", \"bbox\": [213, 264, 223, 274]}, {\"cell\": \"16\", \"bbox\": [294, 264, 303, 274]}, {\"cell\": \"32\", \"bbox\": [367, 264, 376, 274]}, {\"cell\": \"> 256\", \"bbox\": [444, 264, 464, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 276, 101, 288]}, {\"cell\": \"64\", \"bbox\": [132, 278, 142, 288]}, {\"cell\": \"32\", \"bbox\": [213, 278, 223, 288]}, {\"cell\": \"16\", \"bbox\": [294, 278, 303, 288]}, {\"cell\": \"32\", \"bbox\": [367, 278, 376, 288]}, {\"cell\": \"256\", \"bbox\": [444, 278, 458, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 290, 101, 302]}, {\"cell\": \"256\", \"bbox\": [132, 292, 146, 302]}, {\"cell\": \"32\", \"bbox\": [213, 292, 223, 302]}, {\"cell\": \"32\", \"bbox\": [294, 292, 303, 302]}, {\"cell\": \"32\", \"bbox\": [367, 292, 376, 302]}, {\"cell\": \"> 256\", \"bbox\": [444, 292, 464, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 304, 101, 316]}, {\"cell\": \"256\", \"bbox\": [132, 306, 146, 316]}, {\"cell\": \"128\", \"bbox\": [213, 306, 226, 316]}, {\"cell\": \"32\", \"bbox\": [294, 306, 303, 316]}, {\"cell\": \"32\", \"bbox\": [367, 306, 376, 316]}, {\"cell\": \"> 256\", \"bbox\": [444, 306, 464, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 318, 101, 330]}, {\"cell\": \"256\", \"bbox\": [132, 320, 146, 330]}, {\"cell\": \"32\", \"bbox\": [213, 320, 223, 330]}, {\"cell\": \"16\", \"bbox\": [294, 320, 303, 330]}, {\"cell\": \"64\", \"bbox\": [367, 320, 376, 330]}, {\"cell\": \"> 256\", \"bbox\": [444, 320, 464, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 332, 101, 344]}, {\"cell\": \"256\", \"bbox\": [132, 334, 146, 344]}, {\"cell\": \"32\", \"bbox\": [213, 334, 223, 344]}, {\"cell\": \"16\", \"bbox\": [294, 334, 303, 344]}, {\"cell\": \"64\", \"bbox\": [367, 334, 376, 344]}, {\"cell\": \"> 256\", \"bbox\": [444, 334, 464, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 346, 101, 358]}, {\"cell\": \"256\", \"bbox\": [132, 348, 146, 358]}, {\"cell\": \"32\", \"bbox\": [213, 348, 223, 358]}, {\"cell\": \"32\", \"bbox\": [294, 348, 303, 358]}, {\"cell\": \"64\", \"bbox\": [367, 348, 376, 358]}, {\"cell\": \"256\", \"bbox\": [444, 348, 458, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 362, 44, 372]}, {\"cell\": \"209.45 ± 81.41<sup>a</sup>\", \"bbox\": [132, 360, 182, 372]}, {\"cell\": \"46.55 ± 29.89<sup>b</sup>\", \"bbox\": [213, 360, 259, 372]}, {\"cell\": \"21.82 ± 8.07<sup>c</sup>\", \"bbox\": [294, 360, 336, 372]}, {\"cell\": \"46.55 ± 16.71<sup>b</sup>\", \"bbox\": [367, 360, 413, 372]}, {\"cell\": \"≥256\", \"bbox\": [444, 362, 463, 372]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5989455_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}751{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b><i>PKLR </i>rs3020781</b></td><td colspan=\\\"4\\\"><b><i>NOS1AP </i>rs7538490</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>TT</b></td><td><b>TC</b></td><td><b>CC</b></td><td><b><i>p</i><sub>Add</sub></b></td><td><b>CC</b></td><td><b>CT</b></td><td><b>TT</b></td><td><b><i>p</i><sub>Dom</sub></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>3,065(1,544/1,521)</td><td>2,169(1,062/1,107)</td><td>356(180/176)</td><td>[EMPTY_CELL]</td><td>2,954(1,474/1,480)</td><td>2,238(1,109/1,129)</td><td>438(221/217)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>46 ± 8</td><td>46 ± 8</td><td>45 ± 8</td><td>[EMPTY_CELL]</td><td>46 ± 8</td><td>46 ± 8</td><td>46 ± 8</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>26.2 ± 4.6</td><td>26.2 ± 4.5</td><td>25.9 ± 4.3</td><td>0.58</td><td>26.2 ± 4.5</td><td>26.3 ± 4.6</td><td>26.1 ± 4.6</td><td>0.52</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5.5 ± 0.8</td><td>5.6 ± 0.9</td><td>5.5 ± 0.6</td><td>0.88</td><td>5.5 ± 0.7</td><td>5.5 ± 0.8</td><td>5.6 ± 1.1</td><td>0.46</td></tr><tr><td>[EMPTY_CELL]</td><td>8.7 ± 1.9</td><td>8.7 ± 1.9</td><td>8.6 ± 1.9</td><td>0.31</td><td>8.7 ± 1.9</td><td>8.7 ± 1.9</td><td>8.7 ± 1.8</td><td>0.90</td></tr><tr><td>[EMPTY_CELL]</td><td>6.2 ± 2.2</td><td>6.2 ± 2.1</td><td>6 ± 2.0</td><td>0.33</td><td>6.2 ± 2.1</td><td>6.2 ± 2.2</td><td>6.3 ± 2.1</td><td>0.22</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>34(23–50)</td><td>35(24–52)</td><td>31(24–47)</td><td>0.21</td><td>34(24–51)</td><td>34(23–51)</td><td>34(24–51)</td><td>0.14</td></tr><tr><td>[EMPTY_CELL]</td><td>243(173–350)</td><td>248(177–355)</td><td>246(176–355)</td><td>0.29</td><td>244(175–351)</td><td>247(176–354)</td><td>248(173–360)</td><td>0.67</td></tr><tr><td>[EMPTY_CELL]</td><td>154(93–253)</td><td>161(99–258)</td><td>150(91–234)</td><td>0.45</td><td>155(95–251)</td><td>157(97–257)</td><td>158(103–256)</td><td>0.59</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9.2(6.4–12.1)</td><td>9.1(6.2–11.9)</td><td>9.8(7.1–12.4)</td><td>0.54</td><td>9.2(6.5–12.1)</td><td>9.2(6.2–12.1)</td><td>9.6(6.0–12.1)</td><td>0.37</td></tr><tr><td>[EMPTY_CELL]</td><td>1,622(1,282–2,083)</td><td>1,625(1,290–2,058)</td><td>1,634(1,280–2,092)</td><td>0.84</td><td>1,618(1,276–2,048)</td><td>1,643(1,301–2,118)</td><td>1,632(1,310–2,125)</td><td>0.05</td></tr><tr><td>[EMPTY_CELL]</td><td>8.2(5.6–12.6)</td><td>8.5(5.7–13.4)</td><td>7.7(5.5–11.4)</td><td>0.24</td><td>8.3(5.7–12.9)</td><td>8.4(5.5–13.1)</td><td>8.0(5.6–12.6)</td><td>0.14</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>PKLR </i>rs3020781</b>\", \"bbox\": [142, 5, 205, 14]}, {\"cell\": \"<b><i>NOS1AP </i>rs7538490</b>\", \"bbox\": [353, 5, 429, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>TT</b>\", \"bbox\": [90, 27, 104, 36]}, {\"cell\": \"<b>TC</b>\", \"bbox\": [152, 27, 167, 36]}, {\"cell\": \"<b>CC</b>\", \"bbox\": [215, 27, 230, 36]}, {\"cell\": \"<b><i>p</i><sub>Add</sub></b>\", \"bbox\": [259, 27, 277, 38]}, {\"cell\": \"<b>CC</b>\", \"bbox\": [306, 27, 320, 36]}, {\"cell\": \"<b>CT</b>\", \"bbox\": [368, 27, 383, 36]}, {\"cell\": \"<b>TT</b>\", \"bbox\": [431, 27, 445, 36]}, {\"cell\": \"<b><i>p</i><sub>Dom</sub></b>\", \"bbox\": [475, 27, 495, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 51, 53, 68]}, {\"cell\": \"3,065(1,544/1,521)\", \"bbox\": [74, 49, 120, 68]}, {\"cell\": \"2,169(1,062/1,107)\", \"bbox\": [136, 49, 183, 68]}, {\"cell\": \"356(180/176)\", \"bbox\": [205, 49, 239, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2,954(1,474/1,480)\", \"bbox\": [290, 49, 336, 68]}, {\"cell\": \"2,238(1,109/1,129)\", \"bbox\": [353, 49, 399, 68]}, {\"cell\": \"438(221/217)\", \"bbox\": [421, 49, 456, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 81, 45, 90]}, {\"cell\": \"46 ± 8\", \"bbox\": [85, 81, 109, 90]}, {\"cell\": \"46 ± 8\", \"bbox\": [148, 81, 171, 90]}, {\"cell\": \"45 ± 8\", \"bbox\": [210, 81, 234, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"46 ± 8\", \"bbox\": [301, 81, 325, 90]}, {\"cell\": \"46 ± 8\", \"bbox\": [364, 81, 388, 90]}, {\"cell\": \"46 ± 8\", \"bbox\": [427, 81, 450, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 102, 46, 112]}, {\"cell\": \"26.2 ± 4.6\", \"bbox\": [79, 103, 115, 112]}, {\"cell\": \"26.2 ± 4.5\", \"bbox\": [142, 103, 177, 112]}, {\"cell\": \"25.9 ± 4.3\", \"bbox\": [204, 103, 240, 112]}, {\"cell\": \"0.58\", \"bbox\": [259, 103, 276, 112]}, {\"cell\": \"26.2 ± 4.5\", \"bbox\": [295, 103, 331, 112]}, {\"cell\": \"26.3 ± 4.6\", \"bbox\": [358, 103, 393, 112]}, {\"cell\": \"26.1 ± 4.6\", \"bbox\": [421, 103, 456, 112]}, {\"cell\": \"0.52\", \"bbox\": [477, 103, 493, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 125, 299, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 147, 29, 157]}, {\"cell\": \"5.5 ± 0.8\", \"bbox\": [81, 147, 112, 157]}, {\"cell\": \"5.6 ± 0.9\", \"bbox\": [144, 147, 175, 157]}, {\"cell\": \"5.5 ± 0.6\", \"bbox\": [206, 147, 238, 157]}, {\"cell\": \"0.88\", \"bbox\": [259, 147, 276, 157]}, {\"cell\": \"5.5 ± 0.7\", \"bbox\": [297, 147, 329, 157]}, {\"cell\": \"5.5 ± 0.8\", \"bbox\": [360, 147, 391, 157]}, {\"cell\": \"5.6 ± 1.1\", \"bbox\": [423, 147, 454, 157]}, {\"cell\": \"0.46\", \"bbox\": [477, 147, 493, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 170, 30, 179]}, {\"cell\": \"8.7 ± 1.9\", \"bbox\": [81, 170, 112, 179]}, {\"cell\": \"8.7 ± 1.9\", \"bbox\": [144, 170, 175, 179]}, {\"cell\": \"8.6 ± 1.9\", \"bbox\": [207, 170, 238, 179]}, {\"cell\": \"0.31\", \"bbox\": [259, 170, 276, 179]}, {\"cell\": \"8.7 ± 1.9\", \"bbox\": [297, 170, 329, 179]}, {\"cell\": \"8.7 ± 1.9\", \"bbox\": [360, 170, 391, 179]}, {\"cell\": \"8.7 ± 1.8\", \"bbox\": [423, 170, 454, 179]}, {\"cell\": \"0.90\", \"bbox\": [477, 170, 493, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 192, 34, 201]}, {\"cell\": \"6.2 ± 2.2\", \"bbox\": [81, 192, 112, 201]}, {\"cell\": \"6.2 ± 2.1\", \"bbox\": [144, 192, 175, 201]}, {\"cell\": \"6 ± 2.0\", \"bbox\": [209, 192, 235, 201]}, {\"cell\": \"0.33\", \"bbox\": [259, 192, 276, 201]}, {\"cell\": \"6.2 ± 2.1\", \"bbox\": [297, 192, 329, 201]}, {\"cell\": \"6.2 ± 2.2\", \"bbox\": [360, 192, 391, 201]}, {\"cell\": \"6.3 ± 2.1\", \"bbox\": [423, 192, 454, 201]}, {\"cell\": \"0.22\", \"bbox\": [477, 192, 493, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 214, 295, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 236, 29, 246]}, {\"cell\": \"34(23–50)\", \"bbox\": [83, 236, 111, 255]}, {\"cell\": \"35(24–52)\", \"bbox\": [145, 236, 173, 255]}, {\"cell\": \"31(24–47)\", \"bbox\": [208, 236, 236, 255]}, {\"cell\": \"0.21\", \"bbox\": [259, 236, 276, 246]}, {\"cell\": \"34(24–51)\", \"bbox\": [299, 236, 327, 255]}, {\"cell\": \"34(23–51)\", \"bbox\": [362, 236, 390, 255]}, {\"cell\": \"34(24–51)\", \"bbox\": [424, 236, 452, 255]}, {\"cell\": \"0.14\", \"bbox\": [477, 236, 493, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 268, 30, 277]}, {\"cell\": \"243(173–350)\", \"bbox\": [79, 268, 115, 287]}, {\"cell\": \"248(177–355)\", \"bbox\": [141, 268, 178, 287]}, {\"cell\": \"246(176–355)\", \"bbox\": [204, 268, 240, 287]}, {\"cell\": \"0.29\", \"bbox\": [259, 268, 276, 277]}, {\"cell\": \"244(175–351)\", \"bbox\": [295, 268, 331, 287]}, {\"cell\": \"247(176–354)\", \"bbox\": [358, 268, 394, 287]}, {\"cell\": \"248(173–360)\", \"bbox\": [420, 268, 456, 287]}, {\"cell\": \"0.67\", \"bbox\": [477, 268, 493, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 299, 34, 309]}, {\"cell\": \"154(93–253)\", \"bbox\": [81, 299, 113, 318]}, {\"cell\": \"161(99–258)\", \"bbox\": [143, 299, 175, 318]}, {\"cell\": \"150(91–234)\", \"bbox\": [206, 299, 238, 318]}, {\"cell\": \"0.45\", \"bbox\": [259, 299, 276, 309]}, {\"cell\": \"155(95–251)\", \"bbox\": [297, 299, 329, 318]}, {\"cell\": \"157(97–257)\", \"bbox\": [360, 299, 392, 318]}, {\"cell\": \"158(103–256)\", \"bbox\": [420, 299, 456, 318]}, {\"cell\": \"0.59\", \"bbox\": [477, 299, 493, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 331, 282, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 353, 37, 364]}, {\"cell\": \"9.2(6.4–12.1)\", \"bbox\": [79, 353, 114, 372]}, {\"cell\": \"9.1(6.2–11.9)\", \"bbox\": [142, 353, 177, 372]}, {\"cell\": \"9.8(7.1–12.4)\", \"bbox\": [204, 353, 240, 372]}, {\"cell\": \"0.54\", \"bbox\": [259, 353, 276, 363]}, {\"cell\": \"9.2(6.5–12.1)\", \"bbox\": [295, 353, 331, 372]}, {\"cell\": \"9.2(6.2–12.1)\", \"bbox\": [358, 353, 393, 372]}, {\"cell\": \"9.6(6.0–12.1)\", \"bbox\": [421, 353, 456, 372]}, {\"cell\": \"0.37\", \"bbox\": [477, 353, 493, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 385, 44, 394]}, {\"cell\": \"1,622(1,282–2,083)\", \"bbox\": [73, 385, 121, 403]}, {\"cell\": \"1,625(1,290–2,058)\", \"bbox\": [135, 385, 183, 403]}, {\"cell\": \"1,634(1,280–2,092)\", \"bbox\": [198, 385, 246, 403]}, {\"cell\": \"0.84\", \"bbox\": [259, 385, 276, 394]}, {\"cell\": \"1,618(1,276–2,048)\", \"bbox\": [289, 385, 337, 403]}, {\"cell\": \"1,643(1,301–2,118)\", \"bbox\": [352, 385, 400, 403]}, {\"cell\": \"1,632(1,310–2,125)\", \"bbox\": [414, 385, 462, 403]}, {\"cell\": \"0.05\", \"bbox\": [477, 385, 493, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 416, 41, 426]}, {\"cell\": \"8.2(5.6–12.6)\", \"bbox\": [79, 416, 114, 435]}, {\"cell\": \"8.5(5.7–13.4)\", \"bbox\": [142, 416, 177, 435]}, {\"cell\": \"7.7(5.5–11.4)\", \"bbox\": [204, 416, 240, 435]}, {\"cell\": \"0.24\", \"bbox\": [259, 416, 276, 426]}, {\"cell\": \"8.3(5.7–12.9)\", \"bbox\": [295, 416, 331, 435]}, {\"cell\": \"8.4(5.5–13.1)\", \"bbox\": [358, 416, 393, 435]}, {\"cell\": \"8.0(5.6–12.6)\", \"bbox\": [421, 416, 456, 435]}, {\"cell\": \"0.14\", \"bbox\": [477, 416, 493, 426]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2654670_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}752{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Age category</b></td></tr><tr><td><b>Variable</b></td><td><b>25–64 years <i>n</i> = 1329 (38.2)</b></td><td><b>65–74 years <i>n</i> = 1083 (31.2)</b></td><td><b>75–84 years <i>n</i> = 1063 (30.6)</b></td><td><b><i>p</i> Value</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Sociodemographics</td></tr><tr><td> Age (years)<sup>a</sup></td><td>55 (49–60)</td><td>70 (68–72)</td><td>79 (77–81)</td><td>[EMPTY_CELL]</td></tr><tr><td> Female sex</td><td>251 (18.9)</td><td>327 (30.2)</td><td>500 (47.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Married<sup>b</sup></td><td>885 (69.6)</td><td>777 (75.6)</td><td>607 (61.9)</td><td>[EMPTY_CELL]</td></tr><tr><td> Living alone<sup>b</sup></td><td>255 (20.1)</td><td>189 (18.4)</td><td>278 (28.4)</td><td>[EMPTY_CELL]</td></tr><tr><td> Body mass index ≥30 kg/m<sup>2</sup></td><td>413 (31.1)</td><td>255 (23.6)</td><td>183 (17.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> Smoker</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Current smoker</td><td>714 (53.7)</td><td>201 (18.6)</td><td>74 (7.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Ex-smoker</td><td>337 (25.4)</td><td>403 (37.2)</td><td>308 (29.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Never-smoker</td><td>234 (17.6)</td><td>391 (36.1)</td><td>476 (44.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>missing/not known</td><td>44 (3.3)</td><td>88 (8.1)</td><td>205 (19.3)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Medical history<sup>c</sup></td></tr><tr><td> Prior MI</td><td>181 (13.6)</td><td>228 (21.1)</td><td>244 (23.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Prior stroke</td><td>51 (3.8)</td><td>117 (10.8)</td><td>171 (16.1)</td><td>[EMPTY_CELL]</td></tr><tr><td> Diabetes</td><td>353 (26.6)</td><td>439 (40.5)</td><td>439 (41.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Hypertension</td><td>910 (68.5)</td><td>885 (81.7)</td><td>943 (88.7)</td><td>[EMPTY_CELL]</td></tr><tr><td> Hyperlipidemia</td><td>631 (47.5)</td><td>538 (49.7)</td><td>453 (42.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Angina pectoris</td><td>135 (10.2)</td><td>187 (17.3)</td><td>210 (19.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> Chronic obstructive pulmonary disease</td><td>50 (3.8)</td><td>92 (8.5)</td><td>92 (8.7)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Clinical characteristics</td></tr><tr><td> Type of AMI</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>STEMI</td><td>625 (47.0)</td><td>369 (34.1)</td><td>298 (28.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>NSTEM</td><td>651 (49.0)</td><td>603 (55.7)</td><td>599 (56.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Bundle branch block</td><td>53 (4.0)</td><td>111 (10.2)</td><td>166 (15.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Peak serum CPK level (U/l)<sup>a,b</sup></td><td>744 (265–1915)</td><td>530 (212–1292)</td><td>395 (173–991)</td><td>[EMPTY_CELL]</td></tr><tr><td> LVEF</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>> 30 %</td><td>1141 (85.8)</td><td>841 (77.7)</td><td>711 (67.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>≤ 30 %</td><td>73 (5.5)</td><td>87 (8.0)</td><td>123 (11.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>not assessed/missing</td><td>115 (8.7)</td><td>155 (14.3)</td><td>229 (21.5)</td><td>[EMPTY_CELL]</td></tr><tr><td> Renal dysfunction<sup>d</sup></td><td>54 (4.1)</td><td>159 (14.7)</td><td>306 (28.8)</td><td>[EMPTY_CELL]</td></tr><tr><td> Pre-hospital time/symptom onset to arrival (min)<sup>a</sup></td><td>159 (79–585)</td><td>175 (77–613)</td><td>188 (75–565)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Age category</b>\", \"bbox\": [175, 4, 220, 13]}, {\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 17, 27, 27]}, {\"cell\": \"<b>25–64 years <i>n</i> = 1329 (38.2)</b>\", \"bbox\": [175, 17, 264, 27]}, {\"cell\": \"<b>65–74 years <i>n</i> = 1083 (31.2)</b>\", \"bbox\": [269, 17, 358, 27]}, {\"cell\": \"<b>75–84 years <i>n</i> = 1063 (30.6)</b>\", \"bbox\": [363, 17, 452, 27]}, {\"cell\": \"<b><i>p</i> Value</b>\", \"bbox\": [457, 17, 483, 27]}, {\"cell\": \"Sociodemographics\", \"bbox\": [1, 30, 65, 40]}, {\"cell\": \" Age (years)<sup>a</sup>\", \"bbox\": [8, 43, 49, 54]}, {\"cell\": \"55 (49–60)\", \"bbox\": [200, 44, 235, 54]}, {\"cell\": \"70 (68–72)\", \"bbox\": [292, 44, 327, 54]}, {\"cell\": \"79 (77–81)\", \"bbox\": [388, 44, 423, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 44, 484, 54]}, {\"cell\": \" Female sex\", \"bbox\": [8, 58, 46, 68]}, {\"cell\": \"251 (18.9)\", \"bbox\": [196, 58, 229, 68]}, {\"cell\": \"327 (30.2)\", \"bbox\": [288, 58, 321, 68]}, {\"cell\": \"500 (47.0)\", \"bbox\": [384, 58, 417, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 58, 484, 68]}, {\"cell\": \" Married<sup>b</sup>\", \"bbox\": [8, 71, 38, 82]}, {\"cell\": \"885 (69.6)\", \"bbox\": [196, 72, 229, 82]}, {\"cell\": \"777 (75.6)\", \"bbox\": [288, 72, 321, 82]}, {\"cell\": \"607 (61.9)\", \"bbox\": [384, 72, 417, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 72, 484, 82]}, {\"cell\": \" Living alone<sup>b</sup>\", \"bbox\": [8, 85, 53, 96]}, {\"cell\": \"255 (20.1)\", \"bbox\": [196, 86, 229, 96]}, {\"cell\": \"189 (18.4)\", \"bbox\": [288, 86, 321, 96]}, {\"cell\": \"278 (28.4)\", \"bbox\": [384, 86, 417, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 86, 484, 96]}, {\"cell\": \" Body mass index ≥30 kg/m<sup>2</sup>\", \"bbox\": [8, 99, 102, 110]}, {\"cell\": \"413 (31.1)\", \"bbox\": [196, 100, 229, 110]}, {\"cell\": \"255 (23.6)\", \"bbox\": [288, 100, 321, 110]}, {\"cell\": \"183 (17.2)\", \"bbox\": [384, 100, 417, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 100, 484, 110]}, {\"cell\": \" Smoker\", \"bbox\": [8, 114, 34, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 114, 484, 124]}, {\"cell\": \"Current smoker\", \"bbox\": [16, 128, 68, 138]}, {\"cell\": \"714 (53.7)\", \"bbox\": [196, 128, 229, 138]}, {\"cell\": \"201 (18.6)\", \"bbox\": [288, 128, 321, 138]}, {\"cell\": \"74 (7.0)\", \"bbox\": [388, 128, 413, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ex-smoker\", \"bbox\": [16, 142, 51, 152]}, {\"cell\": \"337 (25.4)\", \"bbox\": [196, 142, 229, 152]}, {\"cell\": \"403 (37.2)\", \"bbox\": [288, 142, 321, 152]}, {\"cell\": \"308 (29.0)\", \"bbox\": [384, 142, 417, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never-smoker\", \"bbox\": [16, 156, 62, 166]}, {\"cell\": \"234 (17.6)\", \"bbox\": [196, 156, 229, 166]}, {\"cell\": \"391 (36.1)\", \"bbox\": [288, 156, 321, 166]}, {\"cell\": \"476 (44.8)\", \"bbox\": [384, 156, 417, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"missing/not known\", \"bbox\": [16, 170, 80, 180]}, {\"cell\": \"44 (3.3)\", \"bbox\": [200, 170, 225, 180]}, {\"cell\": \"88 (8.1)\", \"bbox\": [292, 170, 317, 180]}, {\"cell\": \"205 (19.3)\", \"bbox\": [384, 170, 417, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medical history<sup>c</sup>\", \"bbox\": [0, 183, 53, 194]}, {\"cell\": \" Prior MI\", \"bbox\": [8, 198, 35, 208]}, {\"cell\": \"181 (13.6)\", \"bbox\": [196, 198, 229, 208]}, {\"cell\": \"228 (21.1)\", \"bbox\": [288, 198, 321, 208]}, {\"cell\": \"244 (23.0)\", \"bbox\": [384, 198, 417, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 198, 484, 208]}, {\"cell\": \" Prior stroke\", \"bbox\": [8, 212, 46, 222]}, {\"cell\": \"51 (3.8)\", \"bbox\": [200, 212, 225, 222]}, {\"cell\": \"117 (10.8)\", \"bbox\": [288, 212, 321, 222]}, {\"cell\": \"171 (16.1)\", \"bbox\": [384, 212, 417, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 212, 484, 222]}, {\"cell\": \" Diabetes\", \"bbox\": [8, 226, 38, 236]}, {\"cell\": \"353 (26.6)\", \"bbox\": [196, 226, 229, 236]}, {\"cell\": \"439 (40.5)\", \"bbox\": [288, 226, 321, 236]}, {\"cell\": \"439 (41.3)\", \"bbox\": [384, 226, 417, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 226, 484, 236]}, {\"cell\": \" Hypertension\", \"bbox\": [8, 240, 53, 250]}, {\"cell\": \"910 (68.5)\", \"bbox\": [196, 240, 229, 250]}, {\"cell\": \"885 (81.7)\", \"bbox\": [288, 240, 321, 250]}, {\"cell\": \"943 (88.7)\", \"bbox\": [384, 240, 417, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 240, 484, 250]}, {\"cell\": \" Hyperlipidemia\", \"bbox\": [8, 254, 59, 264]}, {\"cell\": \"631 (47.5)\", \"bbox\": [196, 254, 229, 264]}, {\"cell\": \"538 (49.7)\", \"bbox\": [288, 254, 321, 264]}, {\"cell\": \"453 (42.6)\", \"bbox\": [384, 254, 417, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 254, 481, 264]}, {\"cell\": \" Angina pectoris\", \"bbox\": [8, 268, 61, 278]}, {\"cell\": \"135 (10.2)\", \"bbox\": [196, 268, 229, 278]}, {\"cell\": \"187 (17.3)\", \"bbox\": [288, 268, 321, 278]}, {\"cell\": \"210 (19.8)\", \"bbox\": [384, 268, 417, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 268, 484, 278]}, {\"cell\": \" Chronic obstructive pulmonary disease\", \"bbox\": [8, 282, 135, 292]}, {\"cell\": \"50 (3.8)\", \"bbox\": [200, 282, 225, 292]}, {\"cell\": \"92 (8.5)\", \"bbox\": [292, 282, 317, 292]}, {\"cell\": \"92 (8.7)\", \"bbox\": [388, 282, 413, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 282, 484, 292]}, {\"cell\": \"Clinical characteristics\", \"bbox\": [1, 296, 72, 306]}, {\"cell\": \" Type of AMI\", \"bbox\": [8, 310, 49, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 310, 484, 320]}, {\"cell\": \"STEMI\", \"bbox\": [16, 324, 37, 334]}, {\"cell\": \"625 (47.0)\", \"bbox\": [196, 324, 229, 334]}, {\"cell\": \"369 (34.1)\", \"bbox\": [288, 324, 321, 334]}, {\"cell\": \"298 (28.0)\", \"bbox\": [384, 324, 417, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NSTEM\", \"bbox\": [16, 338, 41, 348]}, {\"cell\": \"651 (49.0)\", \"bbox\": [196, 338, 229, 348]}, {\"cell\": \"603 (55.7)\", \"bbox\": [288, 338, 321, 348]}, {\"cell\": \"599 (56.4)\", \"bbox\": [384, 338, 417, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bundle branch block\", \"bbox\": [16, 352, 85, 362]}, {\"cell\": \"53 (4.0)\", \"bbox\": [200, 352, 225, 362]}, {\"cell\": \"111 (10.2)\", \"bbox\": [288, 352, 321, 362]}, {\"cell\": \"166 (15.6)\", \"bbox\": [384, 352, 417, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Peak serum CPK level (U/l)<sup>a,b</sup>\", \"bbox\": [8, 365, 102, 376]}, {\"cell\": \"744 (265–1915)\", \"bbox\": [196, 366, 247, 376]}, {\"cell\": \"530 (212–1292)\", \"bbox\": [288, 366, 339, 376]}, {\"cell\": \"395 (173–991)\", \"bbox\": [384, 366, 431, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 366, 484, 376]}, {\"cell\": \" LVEF\", \"bbox\": [8, 380, 25, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 380, 484, 390]}, {\"cell\": \"> 30 %\", \"bbox\": [16, 394, 41, 404]}, {\"cell\": \"1141 (85.8)\", \"bbox\": [192, 394, 229, 404]}, {\"cell\": \"841 (77.7)\", \"bbox\": [288, 394, 321, 404]}, {\"cell\": \"711 (67.0)\", \"bbox\": [384, 394, 417, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤ 30 %\", \"bbox\": [16, 408, 41, 418]}, {\"cell\": \"73 (5.5)\", \"bbox\": [200, 408, 225, 418]}, {\"cell\": \"87 (8.0)\", \"bbox\": [292, 408, 317, 418]}, {\"cell\": \"123 (11.5)\", \"bbox\": [384, 408, 417, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"not assessed/missing\", \"bbox\": [16, 422, 86, 432]}, {\"cell\": \"115 (8.7)\", \"bbox\": [196, 422, 225, 432]}, {\"cell\": \"155 (14.3)\", \"bbox\": [288, 422, 321, 432]}, {\"cell\": \"229 (21.5)\", \"bbox\": [384, 422, 417, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Renal dysfunction<sup>d</sup>\", \"bbox\": [8, 435, 71, 446]}, {\"cell\": \"54 (4.1)\", \"bbox\": [200, 436, 225, 446]}, {\"cell\": \"159 (14.7)\", \"bbox\": [288, 436, 321, 446]}, {\"cell\": \"306 (28.8)\", \"bbox\": [384, 436, 417, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [457, 436, 484, 446]}, {\"cell\": \" Pre-hospital time/symptom onset to arrival (min)<sup>a</sup>\", \"bbox\": [8, 449, 170, 460]}, {\"cell\": \"159 (79–585)\", \"bbox\": [196, 450, 239, 460]}, {\"cell\": \"175 (77–613)\", \"bbox\": [288, 450, 331, 460]}, {\"cell\": \"188 (75–565)\", \"bbox\": [384, 450, 427, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [462, 450, 477, 460]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4944313_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}753{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b><i>Reasons for not donating blood, motivations & misconceptions</i></b></td><td><b><i>%</i></b></td></tr><tr><td><b><i>Reasons for not donating blood</i></b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>7</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>30</td></tr><tr><td>[EMPTY_CELL]</td><td>12</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td></tr><tr><td>[EMPTY_CELL]</td><td>20</td></tr><tr><td>[EMPTY_CELL]</td><td>28</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>26</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td></tr><tr><td>[EMPTY_CELL]</td><td>16</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Reasons for not donating blood, motivations & misconceptions</i></b>\", \"bbox\": [1, 3, 117, 25]}, {\"cell\": \"<b><i>%</i></b>\", \"bbox\": [204, 3, 214, 14]}, {\"cell\": \"<b><i>Reasons for not donating blood</i></b>\", \"bbox\": [1, 29, 129, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 62, 51]}, {\"cell\": \"7\", \"bbox\": [204, 40, 210, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 52, 119, 63]}, {\"cell\": \"4\", \"bbox\": [204, 52, 210, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 63, 139, 74]}, {\"cell\": \"3\", \"bbox\": [204, 63, 210, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 163, 85]}, {\"cell\": \"11\", \"bbox\": [204, 74, 215, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 128, 97]}, {\"cell\": \"45\", \"bbox\": [204, 86, 215, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 97, 101, 108]}, {\"cell\": \"3\", \"bbox\": [204, 97, 210, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 108, 129, 119]}, {\"cell\": \"4\", \"bbox\": [204, 108, 210, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 119, 153, 131]}, {\"cell\": \"2\", \"bbox\": [204, 119, 210, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 131, 155, 153]}, {\"cell\": \"6\", \"bbox\": [204, 131, 210, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 153, 135, 164]}, {\"cell\": \"3\", \"bbox\": [204, 153, 210, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 165, 111, 176]}, {\"cell\": \"2\", \"bbox\": [204, 165, 210, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 176, 105, 187]}, {\"cell\": \"5\", \"bbox\": [204, 176, 210, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 187, 127, 198]}, {\"cell\": \"1\", \"bbox\": [204, 187, 210, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 107, 210]}, {\"cell\": \"2\", \"bbox\": [204, 199, 210, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 207, 75, 221]}, {\"cell\": \"2\", \"bbox\": [204, 207, 210, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 221, 93, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 233, 130, 244]}, {\"cell\": \"30\", \"bbox\": [204, 233, 215, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 244, 38, 255]}, {\"cell\": \"12\", \"bbox\": [204, 244, 215, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 70, 266]}, {\"cell\": \"5\", \"bbox\": [204, 255, 210, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 266, 49, 278]}, {\"cell\": \"1\", \"bbox\": [204, 266, 210, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 278, 173, 289]}, {\"cell\": \"4\", \"bbox\": [204, 278, 210, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 289, 72, 300]}, {\"cell\": \"20\", \"bbox\": [204, 289, 215, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 300, 36, 311]}, {\"cell\": \"28\", \"bbox\": [204, 300, 215, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 312, 65, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 323, 151, 345]}, {\"cell\": \"26\", \"bbox\": [204, 323, 215, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 346, 148, 357]}, {\"cell\": \"7\", \"bbox\": [204, 346, 210, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 357, 156, 368]}, {\"cell\": \"11\", \"bbox\": [204, 357, 215, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 368, 101, 379]}, {\"cell\": \"10\", \"bbox\": [204, 368, 215, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 379, 97, 391]}, {\"cell\": \"24\", \"bbox\": [204, 379, 215, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 391, 84, 402]}, {\"cell\": \"16\", \"bbox\": [204, 391, 215, 402]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 402, 74, 413]}, {\"cell\": \"6\", \"bbox\": [204, 402, 210, 413]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3905364_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}754{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Medicare Hospital Claim Diagnoses</b></td><td><b>MDS Diagnoses</b></td><td><b>PPV</b></td><td><b>Sensitivity</b></td><td><b>Specificity</b></td><td><b>PPV inter-state Inter-quartile range</b></td></tr></thead><tbody><tr><td>Any hypertension</td><td>Hypertension</td><td>0.61</td><td>0.65</td><td>[EMPTY_CELL]</td><td>0.038</td></tr><tr><td>Heart failure/Cardiomegaly</td><td>Heart failure</td><td>0.78</td><td>0.67</td><td>[EMPTY_CELL]</td><td>0.038</td></tr><tr><td>Cerebro-vascular Accident</td><td>Stroke/TIA</td><td>0.32</td><td>0.70</td><td>[EMPTY_CELL]</td><td>0.064</td></tr><tr><td>Parkinson's disease</td><td>Parkinson's disease</td><td>0.60</td><td>0.69</td><td>[EMPTY_CELL]</td><td>0.090</td></tr><tr><td>Alzheimer's disease</td><td>Alzheimer's disease</td><td>0.66</td><td>0.53</td><td>[EMPTY_CELL]</td><td>0.076</td></tr><tr><td>Brain degeneration</td><td>Any-type dementia</td><td>0.32</td><td>0.72</td><td>[EMPTY_CELL]</td><td>0.058</td></tr><tr><td>Asthma/COPD/emphysema</td><td>Asthma/COPD/emphysema</td><td>0.80</td><td>0.75</td><td>[EMPTY_CELL]</td><td>0.036</td></tr><tr><td>Any pneumonia</td><td>Pneumonia</td><td>0.63</td><td>0.60</td><td>[EMPTY_CELL]</td><td>0.064</td></tr><tr><td>Depressive disorders</td><td>Depression</td><td>0.25</td><td>0.78</td><td>[EMPTY_CELL]</td><td>0.050</td></tr><tr><td>Diabetes mellitus</td><td>Diabetes mellitus</td><td>0.69</td><td>0.93</td><td>[EMPTY_CELL]</td><td>0.039</td></tr><tr><td>Any cancer</td><td>Cancer</td><td>0.55</td><td>0.51</td><td>[EMPTY_CELL]</td><td>0.076</td></tr><tr><td>Any anemia</td><td>Anemia</td><td>0.51</td><td>0.39</td><td>[EMPTY_CELL]</td><td>0.055</td></tr><tr><td>Any UT infection</td><td>Urinary tract infection</td><td>0.62</td><td>0.61</td><td>[EMPTY_CELL]</td><td>0.054</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Medicare Hospital Claim Diagnoses</b>\", \"bbox\": [1, 4, 125, 13]}, {\"cell\": \"<b>MDS Diagnoses</b>\", \"bbox\": [144, 4, 200, 13]}, {\"cell\": \"<b>PPV</b>\", \"bbox\": [253, 4, 268, 13]}, {\"cell\": \"<b>Sensitivity</b>\", \"bbox\": [287, 4, 325, 13]}, {\"cell\": \"<b>Specificity</b>\", \"bbox\": [344, 4, 381, 13]}, {\"cell\": \"<b>PPV inter-state Inter-quartile range</b>\", \"bbox\": [400, 4, 469, 22]}, {\"cell\": \"Any hypertension\", \"bbox\": [1, 26, 59, 36]}, {\"cell\": \"Hypertension\", \"bbox\": [144, 26, 189, 36]}, {\"cell\": \"0.61\", \"bbox\": [253, 26, 268, 36]}, {\"cell\": \"0.65\", \"bbox\": [287, 26, 302, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 26, 358, 36]}, {\"cell\": \"0.038\", \"bbox\": [400, 26, 418, 36]}, {\"cell\": \"Heart failure/Cardiomegaly\", \"bbox\": [1, 39, 88, 49]}, {\"cell\": \"Heart failure\", \"bbox\": [144, 39, 185, 49]}, {\"cell\": \"0.78\", \"bbox\": [253, 39, 268, 49]}, {\"cell\": \"0.67\", \"bbox\": [287, 39, 302, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 39, 358, 49]}, {\"cell\": \"0.038\", \"bbox\": [400, 39, 418, 49]}, {\"cell\": \"Cerebro-vascular Accident\", \"bbox\": [1, 53, 86, 62]}, {\"cell\": \"Stroke/TIA\", \"bbox\": [144, 53, 179, 62]}, {\"cell\": \"0.32\", \"bbox\": [253, 53, 268, 62]}, {\"cell\": \"0.70\", \"bbox\": [287, 53, 302, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 53, 358, 62]}, {\"cell\": \"0.064\", \"bbox\": [400, 53, 418, 62]}, {\"cell\": \"Parkinson's disease\", \"bbox\": [1, 66, 63, 75]}, {\"cell\": \"Parkinson's disease\", \"bbox\": [144, 66, 206, 75]}, {\"cell\": \"0.60\", \"bbox\": [253, 66, 268, 75]}, {\"cell\": \"0.69\", \"bbox\": [287, 66, 302, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 66, 358, 75]}, {\"cell\": \"0.090\", \"bbox\": [400, 66, 418, 75]}, {\"cell\": \"Alzheimer's disease\", \"bbox\": [1, 79, 64, 88]}, {\"cell\": \"Alzheimer's disease\", \"bbox\": [144, 79, 208, 88]}, {\"cell\": \"0.66\", \"bbox\": [253, 79, 268, 88]}, {\"cell\": \"0.53\", \"bbox\": [287, 79, 302, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 79, 358, 88]}, {\"cell\": \"0.076\", \"bbox\": [400, 79, 418, 88]}, {\"cell\": \"Brain degeneration\", \"bbox\": [0, 92, 64, 102]}, {\"cell\": \"Any-type dementia\", \"bbox\": [144, 92, 208, 102]}, {\"cell\": \"0.32\", \"bbox\": [253, 92, 268, 102]}, {\"cell\": \"0.72\", \"bbox\": [287, 92, 302, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 92, 358, 102]}, {\"cell\": \"0.058\", \"bbox\": [400, 92, 418, 102]}, {\"cell\": \"Asthma/COPD/emphysema\", \"bbox\": [0, 105, 90, 115]}, {\"cell\": \"Asthma/COPD/emphysema\", \"bbox\": [144, 105, 234, 115]}, {\"cell\": \"0.80\", \"bbox\": [253, 105, 268, 115]}, {\"cell\": \"0.75\", \"bbox\": [287, 105, 302, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 105, 358, 115]}, {\"cell\": \"0.036\", \"bbox\": [400, 105, 418, 115]}, {\"cell\": \"Any pneumonia\", \"bbox\": [0, 119, 54, 128]}, {\"cell\": \"Pneumonia\", \"bbox\": [144, 119, 183, 128]}, {\"cell\": \"0.63\", \"bbox\": [253, 119, 268, 128]}, {\"cell\": \"0.60\", \"bbox\": [287, 119, 302, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 119, 358, 128]}, {\"cell\": \"0.064\", \"bbox\": [400, 119, 418, 128]}, {\"cell\": \"Depressive disorders\", \"bbox\": [0, 132, 68, 141]}, {\"cell\": \"Depression\", \"bbox\": [144, 132, 182, 141]}, {\"cell\": \"0.25\", \"bbox\": [253, 132, 268, 141]}, {\"cell\": \"0.78\", \"bbox\": [287, 132, 302, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 132, 358, 141]}, {\"cell\": \"0.050\", \"bbox\": [400, 132, 418, 141]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [0, 145, 57, 155]}, {\"cell\": \"Diabetes mellitus\", \"bbox\": [144, 145, 201, 155]}, {\"cell\": \"0.69\", \"bbox\": [253, 145, 268, 155]}, {\"cell\": \"0.93\", \"bbox\": [287, 145, 302, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 145, 358, 155]}, {\"cell\": \"0.039\", \"bbox\": [400, 145, 418, 155]}, {\"cell\": \"Any cancer\", \"bbox\": [0, 158, 38, 168]}, {\"cell\": \"Cancer\", \"bbox\": [144, 158, 168, 168]}, {\"cell\": \"0.55\", \"bbox\": [253, 158, 268, 168]}, {\"cell\": \"0.51\", \"bbox\": [287, 158, 302, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 158, 358, 168]}, {\"cell\": \"0.076\", \"bbox\": [400, 158, 418, 168]}, {\"cell\": \"Any anemia\", \"bbox\": [0, 171, 41, 181]}, {\"cell\": \"Anemia\", \"bbox\": [144, 171, 171, 181]}, {\"cell\": \"0.51\", \"bbox\": [253, 171, 268, 181]}, {\"cell\": \"0.39\", \"bbox\": [287, 171, 302, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 171, 358, 181]}, {\"cell\": \"0.055\", \"bbox\": [400, 171, 418, 181]}, {\"cell\": \"Any UT infection\", \"bbox\": [0, 185, 57, 194]}, {\"cell\": \"Urinary tract infection\", \"bbox\": [144, 185, 216, 194]}, {\"cell\": \"0.62\", \"bbox\": [253, 185, 268, 194]}, {\"cell\": \"0.61\", \"bbox\": [287, 185, 302, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 185, 358, 194]}, {\"cell\": \"0.054\", \"bbox\": [400, 185, 418, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3097253_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}755{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Persistent</b></td><td colspan=\\\"2\\\"><b>Transient</b></td><td colspan=\\\"2\\\"><b>Adolescent-Onset</b></td></tr><tr><td colspan=\\\"2\\\"><b><i>N</i> = 62</b></td><td colspan=\\\"2\\\"><b><i>N</i> = 520</b></td><td colspan=\\\"2\\\"><b><i>N</i> = 134</b></td></tr><tr><td><b><i>n</i></b></td><td><b>Percent</b></td><td><b><i>n</i></b></td><td><b>Percent</b></td><td><b><i>n</i></b></td><td><b>Percent</b></td></tr></thead><tbody><tr><td>Baseline characteristics</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Females</td><td>26</td><td>41.9</td><td>261</td><td>50.2</td><td>94</td><td>[EMPTY_CELL]</td></tr><tr><td>High socio-economic status</td><td>47</td><td>75.8</td><td>438</td><td>85.4</td><td>103</td><td>[EMPTY_CELL]</td></tr><tr><td>Exclusive breastfeeding for ≥4 months</td><td>51</td><td>83.6</td><td>401</td><td>78.5</td><td>107</td><td>[EMPTY_CELL]</td></tr><tr><td>Immigrant parents</td><td>16</td><td>25.8</td><td>118</td><td>22.7</td><td>39</td><td>[EMPTY_CELL]</td></tr><tr><td>Parental allergy *</td><td>30</td><td>49.2</td><td>191</td><td>37.0</td><td>41</td><td>[EMPTY_CELL]</td></tr><tr><td>Doctor-diagnosed food allergy by age 4 years</td><td>24</td><td>40.0</td><td>141</td><td>27.8</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Other allergy-related outcomes in early life</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Asthma</td><td>13</td><td>21.7</td><td>80</td><td>15.8</td><td>18</td><td>[EMPTY_CELL]</td></tr><tr><td>Eczema</td><td>32</td><td>53.3</td><td>276</td><td>54.1</td><td>43</td><td>[EMPTY_CELL]</td></tr><tr><td>Rhinitis</td><td>25</td><td>41.7</td><td>140</td><td>27.9</td><td>19</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Persistent</b>\", \"bbox\": [204, 5, 244, 13]}, {\"cell\": \"<b>Transient</b>\", \"bbox\": [284, 5, 322, 13]}, {\"cell\": \"<b>Adolescent-Onset</b>\", \"bbox\": [347, 3, 423, 13]}, {\"cell\": \"<b><i>N</i> = 62</b>\", \"bbox\": [211, 20, 238, 28]}, {\"cell\": \"<b><i>N</i> = 520</b>\", \"bbox\": [287, 20, 319, 28]}, {\"cell\": \"<b><i>N</i> = 134</b>\", \"bbox\": [366, 20, 398, 28]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [201, 35, 208, 43]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [229, 35, 260, 43]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [280, 35, 287, 43]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [308, 35, 339, 43]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [359, 35, 366, 43]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [387, 35, 418, 43]}, {\"cell\": \"Baseline characteristics\", \"bbox\": [49, 50, 137, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Females\", \"bbox\": [77, 60, 109, 71]}, {\"cell\": \"26\", \"bbox\": [199, 60, 210, 71]}, {\"cell\": \"41.9\", \"bbox\": [235, 60, 252, 71]}, {\"cell\": \"261\", \"bbox\": [276, 60, 291, 71]}, {\"cell\": \"50.2\", \"bbox\": [314, 60, 331, 71]}, {\"cell\": \"94\", \"bbox\": [357, 60, 368, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 60, 410, 71]}, {\"cell\": \"High socio-economic status\", \"bbox\": [40, 71, 146, 88]}, {\"cell\": \"47\", \"bbox\": [199, 71, 210, 81]}, {\"cell\": \"75.8\", \"bbox\": [235, 71, 252, 81]}, {\"cell\": \"438\", \"bbox\": [276, 71, 291, 81]}, {\"cell\": \"85.4\", \"bbox\": [314, 71, 331, 81]}, {\"cell\": \"103\", \"bbox\": [355, 71, 370, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 71, 410, 81]}, {\"cell\": \"Exclusive breastfeeding for ≥4 months\", \"bbox\": [19, 81, 167, 92]}, {\"cell\": \"51\", \"bbox\": [199, 81, 210, 92]}, {\"cell\": \"83.6\", \"bbox\": [235, 81, 252, 92]}, {\"cell\": \"401\", \"bbox\": [276, 81, 291, 92]}, {\"cell\": \"78.5\", \"bbox\": [314, 81, 331, 92]}, {\"cell\": \"107\", \"bbox\": [355, 81, 370, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 81, 410, 92]}, {\"cell\": \"Immigrant parents\", \"bbox\": [57, 92, 129, 102]}, {\"cell\": \"16\", \"bbox\": [199, 92, 210, 102]}, {\"cell\": \"25.8\", \"bbox\": [235, 92, 252, 102]}, {\"cell\": \"118\", \"bbox\": [276, 92, 291, 102]}, {\"cell\": \"22.7\", \"bbox\": [314, 92, 331, 102]}, {\"cell\": \"39\", \"bbox\": [357, 92, 368, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 92, 410, 102]}, {\"cell\": \"Parental allergy *\", \"bbox\": [60, 102, 126, 113]}, {\"cell\": \"30\", \"bbox\": [199, 102, 210, 113]}, {\"cell\": \"49.2\", \"bbox\": [235, 102, 252, 113]}, {\"cell\": \"191\", \"bbox\": [276, 102, 291, 113]}, {\"cell\": \"37.0\", \"bbox\": [314, 102, 331, 113]}, {\"cell\": \"41\", \"bbox\": [357, 102, 368, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 102, 410, 113]}, {\"cell\": \"Doctor-diagnosed food allergy by age 4 years\", \"bbox\": [7, 112, 179, 123]}, {\"cell\": \"24\", \"bbox\": [199, 112, 210, 123]}, {\"cell\": \"40.0\", \"bbox\": [235, 112, 252, 123]}, {\"cell\": \"141\", \"bbox\": [276, 112, 291, 123]}, {\"cell\": \"27.8\", \"bbox\": [314, 112, 331, 123]}, {\"cell\": \"9\", \"bbox\": [359, 112, 365, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [396, 112, 408, 123]}, {\"cell\": \"<i>Other allergy-related outcomes in early life</i>\", \"bbox\": [19, 123, 167, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Asthma\", \"bbox\": [77, 133, 109, 144]}, {\"cell\": \"13\", \"bbox\": [199, 133, 210, 144]}, {\"cell\": \"21.7\", \"bbox\": [235, 133, 252, 144]}, {\"cell\": \"80\", \"bbox\": [278, 133, 289, 144]}, {\"cell\": \"15.8\", \"bbox\": [314, 133, 331, 144]}, {\"cell\": \"18\", \"bbox\": [357, 133, 368, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 133, 410, 144]}, {\"cell\": \"Eczema\", \"bbox\": [78, 144, 109, 154]}, {\"cell\": \"32\", \"bbox\": [199, 144, 210, 154]}, {\"cell\": \"53.3\", \"bbox\": [235, 144, 252, 154]}, {\"cell\": \"276\", \"bbox\": [276, 144, 291, 154]}, {\"cell\": \"54.1\", \"bbox\": [314, 144, 331, 154]}, {\"cell\": \"43\", \"bbox\": [357, 144, 368, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 144, 410, 154]}, {\"cell\": \"Rhinitis\", \"bbox\": [77, 154, 109, 165]}, {\"cell\": \"25\", \"bbox\": [199, 154, 210, 165]}, {\"cell\": \"41.7\", \"bbox\": [235, 154, 252, 165]}, {\"cell\": \"140\", \"bbox\": [276, 154, 291, 165]}, {\"cell\": \"27.9\", \"bbox\": [314, 154, 331, 165]}, {\"cell\": \"19\", \"bbox\": [357, 154, 368, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 154, 410, 165]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5986530_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}756{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Dominant model - Infection</b></td></tr><tr><td><b>APOL1 haplotype</b></td><td colspan=\\\"2\\\"><b><i>T.b.g</i> infected</b></td><td colspan=\\\"2\\\"><b>Control</b></td><td colspan=\\\"2\\\"><b>Association analysis<sup>* </sup><i>T.b.g</i> infected/Control</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Number</td><td>%</td><td>Number</td><td>%</td><td>OR [95% CI]</td><td><i>P</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>196</td><td>86.3</td><td>89</td><td>85.6</td><td>1.07 [0.54 to 2.06]</td><td>0.84</td></tr><tr><td>[EMPTY_CELL]</td><td>31</td><td>13.7</td><td>15</td><td>14.4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>227</td><td>100.0</td><td>104</td><td>100.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>73</td><td>33.5</td><td>30</td><td>29.4</td><td>1.21 [0.73 to 2.03]</td><td>0.47</td></tr><tr><td>[EMPTY_CELL]</td><td>145</td><td>66.5</td><td>72</td><td>70.6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>218</td><td>100.0</td><td>102</td><td>100.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>68</td><td>30.0</td><td>35</td><td>33.7</td><td>0.84 [0.51 to 1.40]</td><td>0.50</td></tr><tr><td>[EMPTY_CELL]</td><td>159</td><td>70.0</td><td>69</td><td>66.3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>227</td><td>100.0</td><td>104</td><td>100.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Dominant model - Infection</b>\", \"bbox\": [331, 0, 436, 11]}, {\"cell\": \"<b>APOL1 haplotype</b>\", \"bbox\": [1, 23, 70, 33]}, {\"cell\": \"<b><i>T.b.g</i> infected</b>\", \"bbox\": [239, 23, 293, 33]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [354, 23, 384, 33]}, {\"cell\": \"<b>Association analysis<sup>* </sup><i>T.b.g</i> infected/Control</b>\", \"bbox\": [444, 12, 530, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number\", \"bbox\": [227, 37, 259, 47]}, {\"cell\": \"%\", \"bbox\": [296, 37, 305, 47]}, {\"cell\": \"Number\", \"bbox\": [330, 37, 362, 47]}, {\"cell\": \"%\", \"bbox\": [399, 37, 408, 47]}, {\"cell\": \"OR [95% CI]\", \"bbox\": [453, 37, 498, 47]}, {\"cell\": \"<i>P</i>\", \"bbox\": [534, 37, 540, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 51, 202, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 13, 84]}, {\"cell\": \"196\", \"bbox\": [244, 74, 259, 84]}, {\"cell\": \"86.3\", \"bbox\": [288, 74, 305, 84]}, {\"cell\": \"89\", \"bbox\": [351, 74, 362, 84]}, {\"cell\": \"85.6\", \"bbox\": [391, 74, 408, 84]}, {\"cell\": \"1.07 [0.54 to 2.06]\", \"bbox\": [433, 74, 498, 84]}, {\"cell\": \"0.84\", \"bbox\": [524, 74, 541, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 89, 31, 98]}, {\"cell\": \"31\", \"bbox\": [248, 89, 259, 98]}, {\"cell\": \"13.7\", \"bbox\": [288, 89, 305, 98]}, {\"cell\": \"15\", \"bbox\": [351, 89, 362, 98]}, {\"cell\": \"14.4\", \"bbox\": [391, 89, 408, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 103, 20, 113]}, {\"cell\": \"227\", \"bbox\": [244, 103, 259, 113]}, {\"cell\": \"100.0\", \"bbox\": [284, 103, 305, 113]}, {\"cell\": \"104\", \"bbox\": [347, 103, 362, 113]}, {\"cell\": \"100.0\", \"bbox\": [387, 103, 408, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 138, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 140, 13, 150]}, {\"cell\": \"73\", \"bbox\": [248, 140, 259, 150]}, {\"cell\": \"33.5\", \"bbox\": [288, 140, 305, 150]}, {\"cell\": \"30\", \"bbox\": [351, 140, 362, 150]}, {\"cell\": \"29.4\", \"bbox\": [391, 140, 408, 150]}, {\"cell\": \"1.21 [0.73 to 2.03]\", \"bbox\": [433, 140, 498, 150]}, {\"cell\": \"0.47\", \"bbox\": [524, 140, 541, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 154, 31, 164]}, {\"cell\": \"145\", \"bbox\": [244, 154, 259, 164]}, {\"cell\": \"66.5\", \"bbox\": [288, 154, 305, 164]}, {\"cell\": \"72\", \"bbox\": [351, 154, 362, 164]}, {\"cell\": \"70.6\", \"bbox\": [391, 154, 408, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 168, 20, 178]}, {\"cell\": \"218\", \"bbox\": [244, 168, 259, 178]}, {\"cell\": \"100.0\", \"bbox\": [284, 168, 305, 178]}, {\"cell\": \"102\", \"bbox\": [347, 168, 362, 178]}, {\"cell\": \"100.0\", \"bbox\": [387, 168, 408, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 183, 99, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 206, 13, 216]}, {\"cell\": \"68\", \"bbox\": [248, 206, 259, 216]}, {\"cell\": \"30.0\", \"bbox\": [288, 206, 305, 216]}, {\"cell\": \"35\", \"bbox\": [351, 206, 362, 216]}, {\"cell\": \"33.7\", \"bbox\": [391, 206, 408, 216]}, {\"cell\": \"0.84 [0.51 to 1.40]\", \"bbox\": [433, 206, 498, 216]}, {\"cell\": \"0.50\", \"bbox\": [524, 206, 541, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 220, 31, 230]}, {\"cell\": \"159\", \"bbox\": [244, 220, 259, 230]}, {\"cell\": \"70.0\", \"bbox\": [288, 220, 305, 230]}, {\"cell\": \"69\", \"bbox\": [351, 220, 362, 230]}, {\"cell\": \"66.3\", \"bbox\": [391, 220, 408, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 234, 20, 244]}, {\"cell\": \"227\", \"bbox\": [244, 234, 259, 244]}, {\"cell\": \"100.0\", \"bbox\": [284, 234, 305, 244]}, {\"cell\": \"104\", \"bbox\": [347, 234, 362, 244]}, {\"cell\": \"100.0\", \"bbox\": [387, 234, 408, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5495568_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}757{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Delivery Method</b></td><td><b>Session Title</b></td><td><b>Time (hours)</b></td><td><b>CME Points</b></td></tr></thead><tbody><tr><td rowspan=\\\"6\\\">[EMPTY_CELL]</td><td>14 Essentials(Brodaty et al., 2013a; b)</td><td>1.5</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>1.5</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>1.5</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>1.5</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>1.5</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>40</td></tr><tr><td>[EMPTY_CELL]</td><td>Timely Diagnosis of Dementia in General Practice (see S1-S4 above)</td><td>6</td><td>40</td></tr><tr><td rowspan=\\\"7\\\">[EMPTY_CELL]</td><td>Recognising Dementia</td><td>1</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>40</td></tr><tr><td>[EMPTY_CELL]</td><td>Timely Diagnosis of Dementia in General Practice</td><td>6</td><td>40</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Delivery Method</b>\", \"bbox\": [1, 4, 56, 13]}, {\"cell\": \"<b>Session Title</b>\", \"bbox\": [122, 4, 163, 13]}, {\"cell\": \"<b>Time (hours)</b>\", \"bbox\": [381, 4, 423, 13]}, {\"cell\": \"<b>CME Points</b>\", \"bbox\": [446, 4, 484, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 99, 27]}, {\"cell\": \"14 Essentials(Brodaty et al., 2013a; b)\", \"bbox\": [122, 17, 241, 27]}, {\"cell\": \"1.5\", \"bbox\": [381, 17, 392, 27]}, {\"cell\": \"2\", \"bbox\": [446, 17, 452, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 31, 276, 41]}, {\"cell\": \"1.5\", \"bbox\": [381, 31, 392, 41]}, {\"cell\": \"2\", \"bbox\": [446, 31, 452, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 45, 296, 55]}, {\"cell\": \"1.5\", \"bbox\": [381, 45, 392, 55]}, {\"cell\": \"2\", \"bbox\": [446, 45, 452, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 59, 264, 69]}, {\"cell\": \"1.5\", \"bbox\": [381, 59, 392, 69]}, {\"cell\": \"2\", \"bbox\": [446, 59, 452, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 73, 267, 83]}, {\"cell\": \"1.5\", \"bbox\": [381, 73, 392, 83]}, {\"cell\": \"2\", \"bbox\": [446, 73, 452, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 87, 357, 97]}, {\"cell\": \"6\", \"bbox\": [381, 87, 387, 97]}, {\"cell\": \"40\", \"bbox\": [446, 87, 456, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 78, 111]}, {\"cell\": \"Timely Diagnosis of Dementia in General Practice (see S1-S4 above)\", \"bbox\": [122, 101, 341, 111]}, {\"cell\": \"6\", \"bbox\": [381, 101, 387, 111]}, {\"cell\": \"40\", \"bbox\": [446, 101, 456, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 23, 125]}, {\"cell\": \"Recognising Dementia\", \"bbox\": [122, 115, 197, 125]}, {\"cell\": \"1\", \"bbox\": [381, 115, 387, 125]}, {\"cell\": \"2\", \"bbox\": [446, 115, 452, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 129, 197, 139]}, {\"cell\": \"1\", \"bbox\": [381, 129, 387, 139]}, {\"cell\": \"2\", \"bbox\": [446, 129, 452, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 143, 212, 153]}, {\"cell\": \"1\", \"bbox\": [381, 143, 387, 153]}, {\"cell\": \"2\", \"bbox\": [446, 143, 452, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 157, 239, 167]}, {\"cell\": \"1\", \"bbox\": [381, 157, 387, 167]}, {\"cell\": \"2\", \"bbox\": [446, 157, 452, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 171, 320, 181]}, {\"cell\": \"1\", \"bbox\": [381, 171, 387, 181]}, {\"cell\": \"2\", \"bbox\": [446, 171, 452, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 185, 233, 195]}, {\"cell\": \"1\", \"bbox\": [381, 185, 387, 195]}, {\"cell\": \"2\", \"bbox\": [446, 185, 452, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 199, 358, 209]}, {\"cell\": \"6\", \"bbox\": [381, 199, 387, 209]}, {\"cell\": \"40\", \"bbox\": [446, 199, 456, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 53, 223]}, {\"cell\": \"Timely Diagnosis of Dementia in General Practice\", \"bbox\": [122, 213, 282, 223]}, {\"cell\": \"6\", \"bbox\": [381, 213, 387, 223]}, {\"cell\": \"40\", \"bbox\": [446, 213, 456, 223]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6086051_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}758{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Site of survey [ref.]</b></td><td><b>Location</b></td><td><b>Age (Years)</b></td><td><b>Ethnic</b></td><td><b>Time</b></td><td><b>Number</b></td><td><b>Prevalence (%)</b></td></tr></thead><tbody><tr><td>Taiwan [4]</td><td>Rural island</td><td>[EMPTY_CELL]</td><td>Han</td><td>1974</td><td>5,629</td><td>0.3</td></tr><tr><td>Beijing [9]</td><td>Rural</td><td>[EMPTY_CELL]</td><td>Han</td><td>1987</td><td>4,192</td><td>0.34</td></tr><tr><td>Taiyuan [41]</td><td>Urban</td><td>[EMPTY_CELL]</td><td>Han</td><td>2004</td><td>3,915</td><td>0.28</td></tr><tr><td>Shandong [25]</td><td>Rural</td><td>[EMPTY_CELL]</td><td>Han</td><td>1996</td><td>5,055</td><td>0.36</td></tr><tr><td>Shanghai [3]</td><td>Urban</td><td>[EMPTY_CELL]</td><td>Han</td><td>1992</td><td>2,010</td><td>0.2</td></tr><tr><td>Shanghai [28]</td><td>Urban</td><td>[EMPTY_CELL]</td><td>Han</td><td>1998</td><td>6,584</td><td>0.28</td></tr><tr><td>Hong Kong [18]</td><td>Urban</td><td>[EMPTY_CELL]</td><td>Han</td><td>1992</td><td>1,988</td><td>0.35</td></tr><tr><td>Shantou [9]</td><td>Rural</td><td>[EMPTY_CELL]</td><td>Han</td><td>1987</td><td>5,058</td><td>0.32</td></tr><tr><td>Shantou [23]</td><td>Urban</td><td>[EMPTY_CELL]</td><td>Han</td><td>1995</td><td>2,040</td><td>0.2</td></tr><tr><td>Taiwan [19]</td><td>Urban</td><td>[EMPTY_CELL]</td><td>Han</td><td>1994</td><td>3,000</td><td>0.93</td></tr><tr><td>Taiwan [19]</td><td>Suburban</td><td>[EMPTY_CELL]</td><td>Han</td><td>1994</td><td>3,000</td><td>0.78</td></tr><tr><td>Taiwan [19]</td><td>Rural</td><td>[EMPTY_CELL]</td><td>Han</td><td>1994</td><td>2,998</td><td>0.26</td></tr><tr><td>Heilongjiang [12]</td><td>Mountain</td><td>[EMPTY_CELL]</td><td>H and Ma<sup>a</sup></td><td>1989</td><td>2,311</td><td>0.50</td></tr><tr><td>Changchun [6]</td><td>Factory</td><td>[EMPTY_CELL]</td><td>H and Ma<sup>a</sup></td><td>1980</td><td>36,097</td><td>0.32</td></tr><tr><td>Ningxia [14]</td><td>Highland</td><td>[EMPTY_CELL]</td><td>H and Mu<sup>b</sup></td><td>1990</td><td>10,420</td><td>0.36</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Site of survey [ref.]</b>\", \"bbox\": [4, 9, 70, 19]}, {\"cell\": \"<b>Location</b>\", \"bbox\": [76, 9, 107, 19]}, {\"cell\": \"<b>Age (Years)</b>\", \"bbox\": [147, 9, 189, 19]}, {\"cell\": \"<b>Ethnic</b>\", \"bbox\": [218, 9, 241, 19]}, {\"cell\": \"<b>Time</b>\", \"bbox\": [289, 9, 308, 19]}, {\"cell\": \"<b>Number</b>\", \"bbox\": [361, 9, 390, 19]}, {\"cell\": \"<b>Prevalence (%)</b>\", \"bbox\": [432, 9, 486, 19]}, {\"cell\": \"Taiwan [4]\", \"bbox\": [4, 25, 42, 35]}, {\"cell\": \"Rural island\", \"bbox\": [76, 25, 117, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 15, 163, 37]}, {\"cell\": \"Han\", \"bbox\": [218, 25, 234, 35]}, {\"cell\": \"1974\", \"bbox\": [290, 25, 310, 35]}, {\"cell\": \"5,629\", \"bbox\": [361, 25, 383, 35]}, {\"cell\": \"0.3\", \"bbox\": [432, 25, 445, 35]}, {\"cell\": \"Beijing [9]\", \"bbox\": [4, 41, 42, 51]}, {\"cell\": \"Rural\", \"bbox\": [76, 41, 95, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 30, 163, 52]}, {\"cell\": \"Han\", \"bbox\": [218, 41, 234, 51]}, {\"cell\": \"1987\", \"bbox\": [290, 41, 310, 51]}, {\"cell\": \"4,192\", \"bbox\": [361, 41, 383, 51]}, {\"cell\": \"0.34\", \"bbox\": [432, 41, 450, 51]}, {\"cell\": \"Taiyuan [41]\", \"bbox\": [4, 56, 49, 66]}, {\"cell\": \"Urban\", \"bbox\": [76, 56, 98, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 46, 163, 68]}, {\"cell\": \"Han\", \"bbox\": [218, 56, 234, 66]}, {\"cell\": \"2004\", \"bbox\": [290, 56, 310, 66]}, {\"cell\": \"3,915\", \"bbox\": [361, 56, 383, 66]}, {\"cell\": \"0.28\", \"bbox\": [432, 56, 450, 66]}, {\"cell\": \"Shandong [25]\", \"bbox\": [4, 72, 58, 82]}, {\"cell\": \"Rural\", \"bbox\": [76, 72, 95, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 61, 163, 83]}, {\"cell\": \"Han\", \"bbox\": [218, 72, 234, 82]}, {\"cell\": \"1996\", \"bbox\": [290, 72, 310, 82]}, {\"cell\": \"5,055\", \"bbox\": [361, 72, 383, 82]}, {\"cell\": \"0.36\", \"bbox\": [432, 72, 450, 82]}, {\"cell\": \"Shanghai [3]\", \"bbox\": [4, 87, 50, 97]}, {\"cell\": \"Urban\", \"bbox\": [76, 87, 98, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 77, 163, 99]}, {\"cell\": \"Han\", \"bbox\": [218, 87, 234, 97]}, {\"cell\": \"1992\", \"bbox\": [290, 87, 310, 97]}, {\"cell\": \"2,010\", \"bbox\": [361, 87, 383, 97]}, {\"cell\": \"0.2\", \"bbox\": [432, 87, 445, 97]}, {\"cell\": \"Shanghai [28]\", \"bbox\": [4, 103, 55, 113]}, {\"cell\": \"Urban\", \"bbox\": [76, 103, 98, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 92, 163, 114]}, {\"cell\": \"Han\", \"bbox\": [218, 103, 234, 113]}, {\"cell\": \"1998\", \"bbox\": [290, 103, 310, 113]}, {\"cell\": \"6,584\", \"bbox\": [361, 103, 383, 113]}, {\"cell\": \"0.28\", \"bbox\": [432, 103, 450, 113]}, {\"cell\": \"Hong Kong [18]\", \"bbox\": [4, 118, 62, 128]}, {\"cell\": \"Urban\", \"bbox\": [76, 118, 98, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 108, 163, 130]}, {\"cell\": \"Han\", \"bbox\": [218, 118, 234, 128]}, {\"cell\": \"1992\", \"bbox\": [290, 118, 310, 128]}, {\"cell\": \"1,988\", \"bbox\": [361, 118, 383, 128]}, {\"cell\": \"0.35\", \"bbox\": [432, 118, 450, 128]}, {\"cell\": \"Shantou [9]\", \"bbox\": [4, 134, 47, 144]}, {\"cell\": \"Rural\", \"bbox\": [76, 134, 95, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 123, 163, 145]}, {\"cell\": \"Han\", \"bbox\": [218, 134, 234, 144]}, {\"cell\": \"1987\", \"bbox\": [290, 134, 310, 144]}, {\"cell\": \"5,058\", \"bbox\": [361, 134, 383, 144]}, {\"cell\": \"0.32\", \"bbox\": [432, 134, 450, 144]}, {\"cell\": \"Shantou [23]\", \"bbox\": [4, 149, 51, 159]}, {\"cell\": \"Urban\", \"bbox\": [76, 149, 98, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 139, 163, 161]}, {\"cell\": \"Han\", \"bbox\": [218, 149, 234, 159]}, {\"cell\": \"1995\", \"bbox\": [290, 149, 310, 159]}, {\"cell\": \"2,040\", \"bbox\": [361, 149, 383, 159]}, {\"cell\": \"0.2\", \"bbox\": [432, 149, 445, 159]}, {\"cell\": \"Taiwan [19]\", \"bbox\": [4, 165, 47, 175]}, {\"cell\": \"Urban\", \"bbox\": [76, 165, 98, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 154, 163, 176]}, {\"cell\": \"Han\", \"bbox\": [218, 165, 234, 175]}, {\"cell\": \"1994\", \"bbox\": [290, 165, 310, 175]}, {\"cell\": \"3,000\", \"bbox\": [361, 165, 383, 175]}, {\"cell\": \"0.93\", \"bbox\": [432, 165, 450, 175]}, {\"cell\": \"Taiwan [19]\", \"bbox\": [4, 180, 47, 190]}, {\"cell\": \"Suburban\", \"bbox\": [76, 180, 111, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 170, 163, 192]}, {\"cell\": \"Han\", \"bbox\": [218, 180, 234, 190]}, {\"cell\": \"1994\", \"bbox\": [290, 180, 310, 190]}, {\"cell\": \"3,000\", \"bbox\": [361, 180, 383, 190]}, {\"cell\": \"0.78\", \"bbox\": [432, 180, 450, 190]}, {\"cell\": \"Taiwan [19]\", \"bbox\": [4, 196, 47, 206]}, {\"cell\": \"Rural\", \"bbox\": [76, 196, 95, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 185, 163, 207]}, {\"cell\": \"Han\", \"bbox\": [218, 196, 234, 206]}, {\"cell\": \"1994\", \"bbox\": [290, 196, 310, 206]}, {\"cell\": \"2,998\", \"bbox\": [361, 196, 383, 206]}, {\"cell\": \"0.26\", \"bbox\": [432, 196, 450, 206]}, {\"cell\": \"Heilongjiang [12]\", \"bbox\": [4, 211, 65, 221]}, {\"cell\": \"Mountain\", \"bbox\": [76, 211, 109, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 201, 163, 223]}, {\"cell\": \"H and Ma<sup>a</sup>\", \"bbox\": [218, 211, 256, 221]}, {\"cell\": \"1989\", \"bbox\": [290, 211, 310, 221]}, {\"cell\": \"2,311\", \"bbox\": [361, 211, 383, 221]}, {\"cell\": \"0.50\", \"bbox\": [432, 211, 450, 221]}, {\"cell\": \"Changchun [6]\", \"bbox\": [4, 227, 58, 237]}, {\"cell\": \"Factory\", \"bbox\": [76, 227, 103, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 216, 163, 238]}, {\"cell\": \"H and Ma<sup>a</sup>\", \"bbox\": [218, 226, 256, 237]}, {\"cell\": \"1980\", \"bbox\": [290, 227, 310, 237]}, {\"cell\": \"36,097\", \"bbox\": [361, 227, 388, 237]}, {\"cell\": \"0.32\", \"bbox\": [432, 227, 450, 237]}, {\"cell\": \"Ningxia [14]\", \"bbox\": [4, 242, 48, 252]}, {\"cell\": \"Highland\", \"bbox\": [76, 242, 108, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 232, 163, 254]}, {\"cell\": \"H and Mu<sup>b</sup>\", \"bbox\": [218, 242, 257, 252]}, {\"cell\": \"1990\", \"bbox\": [290, 242, 310, 252]}, {\"cell\": \"10,420\", \"bbox\": [361, 242, 388, 252]}, {\"cell\": \"0.36\", \"bbox\": [432, 242, 450, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2374446_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}759{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Odds ratio (95% C.I.)</b></td><td><b>Probability</b></td></tr></thead><tbody><tr><td>Age</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Gender</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Body mass index</td><td>[EMPTY_CELL]</td><td>0.069</td></tr><tr><td>Triglycerides</td><td>[EMPTY_CELL]</td><td>0.118</td></tr><tr><td>Current smoking</td><td>[EMPTY_CELL]</td><td>0.004</td></tr><tr><td>Use of statins</td><td>[EMPTY_CELL]</td><td>0.106</td></tr><tr><td>Estimated glomerular filtration rate</td><td>[EMPTY_CELL]</td><td>0.052</td></tr><tr><td>Low density lipoprotein cholesterol</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Type 2 diabetes</td><td>[EMPTY_CELL]</td><td>0.045</td></tr><tr><td>Adipo-IR quartile 1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Adipo-IR quartile 2</td><td>[EMPTY_CELL]</td><td>0.142</td></tr><tr><td>Adipo-IR quartile 3</td><td>[EMPTY_CELL]</td><td>0.490</td></tr><tr><td>Adipo-IR quartile 4</td><td>[EMPTY_CELL]</td><td>0.006</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Odds ratio (95% C.I.)</b>\", \"bbox\": [253, 4, 332, 15]}, {\"cell\": \"<b>Probability</b>\", \"bbox\": [457, 4, 499, 15]}, {\"cell\": \"Age\", \"bbox\": [2, 17, 18, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 17, 317, 27]}, {\"cell\": \"<0.001\", \"bbox\": [465, 14, 491, 29]}, {\"cell\": \"Gender\", \"bbox\": [2, 29, 32, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [264, 29, 320, 40]}, {\"cell\": \"<0.001\", \"bbox\": [465, 26, 491, 41]}, {\"cell\": \"Body mass index\", \"bbox\": [2, 42, 65, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 42, 321, 52]}, {\"cell\": \"0.069\", \"bbox\": [467, 42, 489, 52]}, {\"cell\": \"Triglycerides\", \"bbox\": [2, 54, 51, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 54, 321, 65]}, {\"cell\": \"0.118\", \"bbox\": [468, 54, 487, 65]}, {\"cell\": \"Current smoking\", \"bbox\": [2, 67, 66, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 67, 322, 77]}, {\"cell\": \"0.004\", \"bbox\": [467, 67, 489, 77]}, {\"cell\": \"Use of statins\", \"bbox\": [2, 79, 52, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 79, 321, 90]}, {\"cell\": \"0.106\", \"bbox\": [468, 79, 488, 90]}, {\"cell\": \"Estimated glomerular filtration rate\", \"bbox\": [2, 91, 131, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [264, 91, 321, 102]}, {\"cell\": \"0.052\", \"bbox\": [467, 91, 488, 102]}, {\"cell\": \"Low density lipoprotein cholesterol\", \"bbox\": [2, 104, 131, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [264, 104, 320, 115]}, {\"cell\": \"<0.001\", \"bbox\": [465, 101, 491, 116]}, {\"cell\": \"Type 2 diabetes\", \"bbox\": [2, 116, 59, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [265, 116, 320, 127]}, {\"cell\": \"0.045\", \"bbox\": [467, 116, 489, 127]}, {\"cell\": \"Adipo-IR quartile 1\", \"bbox\": [2, 129, 74, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 129, 315, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Adipo-IR quartile 2\", \"bbox\": [2, 141, 75, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [264, 141, 321, 152]}, {\"cell\": \"0.142\", \"bbox\": [468, 141, 488, 152]}, {\"cell\": \"Adipo-IR quartile 3\", \"bbox\": [2, 154, 75, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [264, 154, 321, 164]}, {\"cell\": \"0.490\", \"bbox\": [467, 154, 489, 164]}, {\"cell\": \"Adipo-IR quartile 4\", \"bbox\": [2, 166, 75, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 166, 321, 177]}, {\"cell\": \"0.006\", \"bbox\": [467, 166, 489, 177]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5227149_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}760{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variable</b></td><td rowspan=\\\"2\\\"><b>Construct</b></td><td colspan=\\\"3\\\"><b>Self-Injury Group Means</b></td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>Effect Size</b></td></tr><tr><td><b>Current</b></td><td><b>Previous</b></td><td><b>None</b></td><td><b><i>F</i></b></td><td><b><i>p</i></b></td><td><b><i>D</i></b></td></tr></thead><tbody><tr><td>Expressed Emotion</td><td>Overall</td><td>39.58</td><td>[EMPTY_CELL]</td><td>36.01</td><td>7.36</td><td>0.001</td><td>0.06</td></tr><tr><td>[EMPTY_CELL]</td><td>Perceived Criticism</td><td>20.06</td><td>[EMPTY_CELL]</td><td>13.02</td><td>15.48</td><td>0.000</td><td>0.17</td></tr><tr><td>[EMPTY_CELL]</td><td>Emotional Involvement</td><td>19.52</td><td>[EMPTY_CELL]</td><td>22.99</td><td>13.42</td><td>0.000</td><td>0.09</td></tr><tr><td>Shame</td><td>Overall</td><td>80.73</td><td>[EMPTY_CELL]</td><td>54.84</td><td>61.99</td><td>0.000</td><td>0.33</td></tr><tr><td>[EMPTY_CELL]</td><td>Characterological</td><td>36.72</td><td>[EMPTY_CELL]</td><td>23.82</td><td>54.61</td><td>0.000</td><td>0.24</td></tr><tr><td>[EMPTY_CELL]</td><td>Behavioural</td><td>30.35</td><td>[EMPTY_CELL]</td><td>21.62</td><td>43.00</td><td>0.000</td><td>0.25</td></tr><tr><td>[EMPTY_CELL]</td><td>Bodily</td><td>13.69</td><td>[EMPTY_CELL]</td><td>9.39</td><td>49.08</td><td>0.000</td><td>0.24</td></tr><tr><td>Psychological Distress </td><td>Overall</td><td>117.14</td><td>[EMPTY_CELL]</td><td>70.38</td><td>68.30</td><td>0.000</td><td>0.26</td></tr><tr><td>[EMPTY_CELL]</td><td>Depression</td><td>40.86</td><td>[EMPTY_CELL]</td><td>23.19</td><td>56.92</td><td>0.000</td><td>0.27</td></tr><tr><td>[EMPTY_CELL]</td><td>Anxiety</td><td>34.67</td><td>[EMPTY_CELL]</td><td>20.80</td><td>48.72</td><td>0.000</td><td>0.18</td></tr><tr><td>[EMPTY_CELL]</td><td>Stress</td><td>41.76</td><td>[EMPTY_CELL]</td><td>25.86</td><td>64.45</td><td>0.000</td><td>0.34</td></tr><tr><td>Emotion Dysregulation</td><td>[EMPTY_CELL]</td><td>116.50</td><td>[EMPTY_CELL]</td><td>91.24</td><td>55.02</td><td>0.000</td><td>0.11</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [26, 12, 59, 22]}, {\"cell\": \"<b>Construct</b>\", \"bbox\": [112, 11, 150, 21]}, {\"cell\": \"<b>Self-Injury Group Means</b>\", \"bbox\": [186, 4, 282, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Effect Size</b>\", \"bbox\": [354, 4, 395, 14]}, {\"cell\": \"<b>Current</b>\", \"bbox\": [183, 19, 214, 29]}, {\"cell\": \"<b>Previous</b>\", \"bbox\": [220, 19, 254, 29]}, {\"cell\": \"<b>None</b>\", \"bbox\": [260, 19, 282, 29]}, {\"cell\": \"<b><i>F</i></b>\", \"bbox\": [301, 19, 307, 29]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [331, 19, 338, 29]}, {\"cell\": \"<b><i>D</i></b>\", \"bbox\": [370, 19, 379, 29]}, {\"cell\": \"Expressed Emotion\", \"bbox\": [7, 33, 78, 43]}, {\"cell\": \"Overall\", \"bbox\": [117, 33, 146, 43]}, {\"cell\": \"39.58\", \"bbox\": [187, 33, 207, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 33, 244, 43]}, {\"cell\": \"36.01\", \"bbox\": [261, 33, 281, 43]}, {\"cell\": \"7.36\", \"bbox\": [296, 33, 312, 43]}, {\"cell\": \"0.001\", \"bbox\": [325, 33, 345, 43]}, {\"cell\": \"0.06\", \"bbox\": [367, 33, 383, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Perceived Criticism\", \"bbox\": [95, 43, 167, 53]}, {\"cell\": \"20.06\", \"bbox\": [187, 43, 207, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 43, 244, 53]}, {\"cell\": \"13.02\", \"bbox\": [261, 43, 281, 53]}, {\"cell\": \"15.48\", \"bbox\": [294, 43, 314, 53]}, {\"cell\": \"0.000\", \"bbox\": [325, 43, 345, 53]}, {\"cell\": \"0.17\", \"bbox\": [367, 43, 383, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Emotional Involvement\", \"bbox\": [88, 53, 174, 63]}, {\"cell\": \"19.52\", \"bbox\": [187, 53, 207, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 53, 244, 63]}, {\"cell\": \"22.99\", \"bbox\": [261, 53, 281, 63]}, {\"cell\": \"13.42\", \"bbox\": [294, 53, 314, 63]}, {\"cell\": \"0.000\", \"bbox\": [325, 53, 345, 63]}, {\"cell\": \"0.09\", \"bbox\": [367, 53, 383, 63]}, {\"cell\": \"Shame\", \"bbox\": [30, 63, 56, 73]}, {\"cell\": \"Overall\", \"bbox\": [117, 63, 146, 73]}, {\"cell\": \"80.73\", \"bbox\": [187, 63, 207, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 63, 244, 73]}, {\"cell\": \"54.84\", \"bbox\": [261, 63, 281, 73]}, {\"cell\": \"61.99\", \"bbox\": [294, 63, 314, 73]}, {\"cell\": \"0.000\", \"bbox\": [325, 63, 345, 73]}, {\"cell\": \"0.33\", \"bbox\": [367, 63, 383, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Characterological\", \"bbox\": [99, 73, 164, 83]}, {\"cell\": \"36.72\", \"bbox\": [187, 73, 207, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 73, 244, 83]}, {\"cell\": \"23.82\", \"bbox\": [261, 73, 281, 83]}, {\"cell\": \"54.61\", \"bbox\": [294, 73, 314, 83]}, {\"cell\": \"0.000\", \"bbox\": [325, 73, 345, 83]}, {\"cell\": \"0.24\", \"bbox\": [367, 73, 383, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Behavioural\", \"bbox\": [109, 82, 154, 93]}, {\"cell\": \"30.35\", \"bbox\": [187, 82, 207, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 82, 244, 93]}, {\"cell\": \"21.62\", \"bbox\": [261, 82, 281, 93]}, {\"cell\": \"43.00\", \"bbox\": [294, 82, 314, 93]}, {\"cell\": \"0.000\", \"bbox\": [325, 82, 345, 93]}, {\"cell\": \"0.25\", \"bbox\": [367, 82, 383, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bodily\", \"bbox\": [118, 92, 144, 102]}, {\"cell\": \"13.69\", \"bbox\": [187, 92, 207, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 92, 244, 102]}, {\"cell\": \"9.39\", \"bbox\": [263, 92, 279, 102]}, {\"cell\": \"49.08\", \"bbox\": [294, 92, 314, 102]}, {\"cell\": \"0.000\", \"bbox\": [325, 92, 345, 102]}, {\"cell\": \"0.24\", \"bbox\": [367, 92, 383, 102]}, {\"cell\": \"Psychological Distress \", \"bbox\": [6, 102, 85, 112]}, {\"cell\": \"Overall\", \"bbox\": [117, 102, 146, 112]}, {\"cell\": \"117.14\", \"bbox\": [185, 102, 209, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 102, 244, 112]}, {\"cell\": \"70.38\", \"bbox\": [261, 102, 281, 112]}, {\"cell\": \"68.30\", \"bbox\": [294, 102, 314, 112]}, {\"cell\": \"0.000\", \"bbox\": [325, 102, 345, 112]}, {\"cell\": \"0.26\", \"bbox\": [367, 102, 383, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Depression\", \"bbox\": [110, 112, 152, 122]}, {\"cell\": \"40.86\", \"bbox\": [187, 112, 207, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 112, 244, 122]}, {\"cell\": \"23.19\", \"bbox\": [261, 112, 281, 122]}, {\"cell\": \"56.92\", \"bbox\": [294, 112, 314, 122]}, {\"cell\": \"0.000\", \"bbox\": [325, 112, 345, 122]}, {\"cell\": \"0.27\", \"bbox\": [367, 112, 383, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Anxiety\", \"bbox\": [116, 122, 146, 132]}, {\"cell\": \"34.67\", \"bbox\": [187, 122, 207, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 122, 244, 132]}, {\"cell\": \"20.80\", \"bbox\": [261, 122, 281, 132]}, {\"cell\": \"48.72\", \"bbox\": [294, 122, 314, 132]}, {\"cell\": \"0.000\", \"bbox\": [325, 122, 345, 132]}, {\"cell\": \"0.18\", \"bbox\": [367, 122, 383, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Stress\", \"bbox\": [120, 132, 143, 142]}, {\"cell\": \"41.76\", \"bbox\": [187, 132, 207, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 132, 244, 142]}, {\"cell\": \"25.86\", \"bbox\": [261, 132, 281, 142]}, {\"cell\": \"64.45\", \"bbox\": [294, 132, 314, 142]}, {\"cell\": \"0.000\", \"bbox\": [325, 132, 345, 142]}, {\"cell\": \"0.34\", \"bbox\": [367, 132, 383, 142]}, {\"cell\": \"Emotion Dysregulation\", \"bbox\": [6, 142, 89, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"116.50\", \"bbox\": [185, 142, 209, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 142, 246, 152]}, {\"cell\": \"91.24\", \"bbox\": [261, 142, 281, 152]}, {\"cell\": \"55.02\", \"bbox\": [294, 142, 314, 152]}, {\"cell\": \"0.000\", \"bbox\": [325, 142, 345, 152]}, {\"cell\": \"0.11\", \"bbox\": [367, 142, 383, 152]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5981929_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}761{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Contrast</b></td><td><b>gSAD (n = 29)</b></td><td><b>HC (n = 27)</b></td><td><b>t (<i>df</i> = 56)</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Accuracy</td></tr><tr><td>Attend Angry vs. Shapes</td><td>85.6 ± 11.8</td><td>86.6 ± 10.9</td><td>[EMPTY_CELL]</td><td>0.76</td></tr><tr><td>Attend Fear vs. Shapes</td><td>92.7 ± 9.1</td><td>90.7 ± 10.1</td><td>[EMPTY_CELL]</td><td>0.46</td></tr><tr><td>Attend Happy vs. Shapes</td><td>90.8 ± 11.0</td><td>86.3 ± 14.2</td><td>[EMPTY_CELL]</td><td>0.19</td></tr><tr><td>Attend Shapes vs. Angry (distractor)</td><td>94.1 ± 8.1</td><td>93.7 ± 8.0</td><td>[EMPTY_CELL]</td><td>0.84</td></tr><tr><td>Attend Shapes vs. Fear (distractor)</td><td>90.1 ± 14.4</td><td>95.5 ± 7.6</td><td>[EMPTY_CELL]</td><td>0.09</td></tr><tr><td>Attend Shapes vs. Happy (distractor)</td><td>91.2 ± 11.5</td><td>93.4 ± 7.5</td><td>[EMPTY_CELL]</td><td>0.42</td></tr><tr><td colspan=\\\"5\\\">Reaction Times</td></tr><tr><td>Attend Angry vs. Shapes</td><td>1479.6 ± 405.8</td><td>1419.9 ± 219.5</td><td>[EMPTY_CELL]</td><td>0.50</td></tr><tr><td>Attend Fear vs. Shapes</td><td>1337.9 ± 371.9</td><td>1285.7 ± 218.5</td><td>[EMPTY_CELL]</td><td>0.53</td></tr><tr><td>Attend Happy vs. Shapes</td><td>1303.7 ± 340.4</td><td>1231.0 ± 207.4</td><td>[EMPTY_CELL]</td><td>0.34</td></tr><tr><td>Attend Shapes vs. Angry (distractor)</td><td>1021.1 ± 273.5</td><td>957.8 ± 122.4</td><td>[EMPTY_CELL]</td><td>0.27</td></tr><tr><td>Attend Shapes vs. Fear (distractor)</td><td>985.4 ± 239.9</td><td>946.2 ± 144.4</td><td>[EMPTY_CELL]</td><td>0.47</td></tr><tr><td>Attend Shapes vs. Happy (distractor)</td><td>975.6 ± 236.4</td><td>944.3 ± 157.7</td><td>[EMPTY_CELL]</td><td>0.57</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Contrast</b>\", \"bbox\": [1, 4, 32, 13]}, {\"cell\": \"<b>gSAD (n = 29)</b>\", \"bbox\": [174, 4, 223, 13]}, {\"cell\": \"<b>HC (n = 27)</b>\", \"bbox\": [278, 4, 318, 13]}, {\"cell\": \"<b>t (<i>df</i> = 56)</b>\", \"bbox\": [380, 4, 415, 13]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [470, 4, 476, 13]}, {\"cell\": \"Accuracy\", \"bbox\": [1, 17, 31, 27]}, {\"cell\": \"Attend Angry vs. Shapes\", \"bbox\": [1, 31, 81, 41]}, {\"cell\": \"85.6 ± 11.8\", \"bbox\": [174, 31, 209, 41]}, {\"cell\": \"86.6 ± 10.9\", \"bbox\": [278, 31, 313, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 31, 395, 41]}, {\"cell\": \"0.76\", \"bbox\": [470, 31, 484, 41]}, {\"cell\": \"Attend Fear vs. Shapes\", \"bbox\": [1, 45, 75, 55]}, {\"cell\": \"92.7 ± 9.1\", \"bbox\": [174, 45, 205, 55]}, {\"cell\": \"90.7 ± 10.1\", \"bbox\": [278, 45, 313, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 45, 395, 55]}, {\"cell\": \"0.46\", \"bbox\": [470, 45, 484, 55]}, {\"cell\": \"Attend Happy vs. Shapes\", \"bbox\": [1, 59, 83, 69]}, {\"cell\": \"90.8 ± 11.0\", \"bbox\": [174, 59, 209, 69]}, {\"cell\": \"86.3 ± 14.2\", \"bbox\": [278, 59, 313, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 59, 395, 69]}, {\"cell\": \"0.19\", \"bbox\": [470, 59, 484, 69]}, {\"cell\": \"Attend Shapes vs. Angry (distractor)\", \"bbox\": [1, 73, 117, 83]}, {\"cell\": \"94.1 ± 8.1\", \"bbox\": [174, 73, 205, 83]}, {\"cell\": \"93.7 ± 8.0\", \"bbox\": [278, 73, 309, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 73, 395, 83]}, {\"cell\": \"0.84\", \"bbox\": [470, 73, 484, 83]}, {\"cell\": \"Attend Shapes vs. Fear (distractor)\", \"bbox\": [1, 87, 111, 97]}, {\"cell\": \"90.1 ± 14.4\", \"bbox\": [174, 87, 209, 97]}, {\"cell\": \"95.5 ± 7.6\", \"bbox\": [278, 87, 309, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 87, 395, 97]}, {\"cell\": \"0.09\", \"bbox\": [470, 87, 484, 97]}, {\"cell\": \"Attend Shapes vs. Happy (distractor)\", \"bbox\": [1, 101, 119, 111]}, {\"cell\": \"91.2 ± 11.5\", \"bbox\": [174, 101, 209, 111]}, {\"cell\": \"93.4 ± 7.5\", \"bbox\": [278, 101, 309, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 101, 395, 111]}, {\"cell\": \"0.42\", \"bbox\": [470, 101, 484, 111]}, {\"cell\": \"Reaction Times\", \"bbox\": [1, 115, 51, 125]}, {\"cell\": \"Attend Angry vs. Shapes\", \"bbox\": [1, 129, 81, 139]}, {\"cell\": \"1479.6 ± 405.8\", \"bbox\": [174, 129, 221, 139]}, {\"cell\": \"1419.9 ± 219.5\", \"bbox\": [278, 129, 325, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 129, 395, 139]}, {\"cell\": \"0.50\", \"bbox\": [470, 129, 484, 139]}, {\"cell\": \"Attend Fear vs. Shapes\", \"bbox\": [1, 143, 75, 153]}, {\"cell\": \"1337.9 ± 371.9\", \"bbox\": [174, 143, 221, 153]}, {\"cell\": \"1285.7 ± 218.5\", \"bbox\": [278, 143, 325, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 143, 395, 153]}, {\"cell\": \"0.53\", \"bbox\": [470, 143, 484, 153]}, {\"cell\": \"Attend Happy vs. Shapes\", \"bbox\": [1, 157, 83, 167]}, {\"cell\": \"1303.7 ± 340.4\", \"bbox\": [174, 157, 221, 167]}, {\"cell\": \"1231.0 ± 207.4\", \"bbox\": [278, 157, 325, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 157, 395, 167]}, {\"cell\": \"0.34\", \"bbox\": [470, 157, 484, 167]}, {\"cell\": \"Attend Shapes vs. Angry (distractor)\", \"bbox\": [1, 171, 117, 181]}, {\"cell\": \"1021.1 ± 273.5\", \"bbox\": [174, 171, 221, 181]}, {\"cell\": \"957.8 ± 122.4\", \"bbox\": [278, 171, 321, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 171, 395, 181]}, {\"cell\": \"0.27\", \"bbox\": [470, 171, 484, 181]}, {\"cell\": \"Attend Shapes vs. Fear (distractor)\", \"bbox\": [1, 185, 111, 195]}, {\"cell\": \"985.4 ± 239.9\", \"bbox\": [174, 185, 217, 195]}, {\"cell\": \"946.2 ± 144.4\", \"bbox\": [278, 185, 321, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 185, 395, 195]}, {\"cell\": \"0.47\", \"bbox\": [470, 185, 484, 195]}, {\"cell\": \"Attend Shapes vs. Happy (distractor)\", \"bbox\": [1, 199, 119, 209]}, {\"cell\": \"975.6 ± 236.4\", \"bbox\": [174, 199, 217, 209]}, {\"cell\": \"944.3 ± 157.7\", \"bbox\": [278, 199, 321, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 199, 395, 209]}, {\"cell\": \"0.57\", \"bbox\": [470, 199, 484, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3632493_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}762{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"9\\\"><b>Convalescent Time point</b></td></tr></thead><tbody><tr><td colspan=\\\"9\\\">All pneumonia cases (severe and very severe)</td></tr><tr><td>Total urinary arsenic (μg/L)</td><td colspan=\\\"2\\\">Case convalescent urine samples (<i>N</i> = 153)</td><td colspan=\\\"2\\\">Control urine samples (<i>N</i> = 296)</td><td>Crude OR</td><td>95 % CI</td><td>Adjusted OR</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>No.</td><td>%</td><td>No.</td><td>%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 0–5.9</td><td>30</td><td>20 %</td><td>85</td><td>29 %</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>Reference</td></tr><tr><td> 6.0–14.9</td><td>44</td><td>29 %</td><td>67</td><td>23 %</td><td>1.86</td><td>[EMPTY_CELL]</td><td>2.10</td><td>1.16, 3.81</td></tr><tr><td> 15.0–41.9</td><td>39</td><td>25 %</td><td>72</td><td>24 %</td><td>1.53</td><td>[EMPTY_CELL]</td><td>1.97</td><td>1.03, 3.79</td></tr><tr><td> Greater or equal to 42.0</td><td>40</td><td>26 %</td><td>72</td><td>24 %</td><td>1.57</td><td>[EMPTY_CELL]</td><td>2.03</td><td>1.04, 3.97</td></tr><tr><td colspan=\\\"9\\\">Only severe pneumonia cases (sensitivity analysis)</td></tr><tr><td>Total urinary arsenic (μg/L)</td><td colspan=\\\"2\\\">Case convalescent urine samples (<i>N</i> = 135)</td><td colspan=\\\"2\\\">Control urine samples (<i>N</i> = 296)</td><td>Crude OR</td><td>95 % CI</td><td>Adjusted OR</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>No.</td><td>%</td><td>No.</td><td>%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 0–5.9</td><td>24</td><td>18 %</td><td>85</td><td>29 %</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>Reference</td></tr><tr><td> 6.0–14.9</td><td>39</td><td>29 %</td><td>67</td><td>23 %</td><td>2.06</td><td>[EMPTY_CELL]</td><td>2.30</td><td>1.22, 4.32</td></tr><tr><td> 15.0–41.9</td><td>38</td><td>28 %</td><td>72</td><td>24 %</td><td>1.87</td><td>[EMPTY_CELL]</td><td>2.26</td><td>1.15, 4.46</td></tr><tr><td> Greater or equal to 42.0</td><td>34</td><td>25 %</td><td>72</td><td>24 %</td><td>1.67</td><td>[EMPTY_CELL]</td><td>2.09</td><td>1.03, 4.23</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Convalescent Time point</b>\", \"bbox\": [1, 4, 88, 13]}, {\"cell\": \"All pneumonia cases (severe and very severe)\", \"bbox\": [1, 17, 148, 27]}, {\"cell\": \"Total urinary arsenic (μg/L)\", \"bbox\": [1, 31, 88, 41]}, {\"cell\": \"Case convalescent urine samples (<i>N</i> = 153)\", \"bbox\": [93, 31, 223, 41]}, {\"cell\": \"Control urine samples (<i>N</i> = 296)\", \"bbox\": [228, 31, 325, 41]}, {\"cell\": \"Crude OR\", \"bbox\": [330, 31, 363, 41]}, {\"cell\": \"95 % CI\", \"bbox\": [370, 31, 397, 41]}, {\"cell\": \"Adjusted OR\", \"bbox\": [405, 31, 447, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 31, 481, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No.\", \"bbox\": [116, 45, 129, 55]}, {\"cell\": \"%\", \"bbox\": [186, 45, 194, 55]}, {\"cell\": \"No.\", \"bbox\": [243, 45, 256, 55]}, {\"cell\": \"%\", \"bbox\": [297, 45, 305, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0–5.9\", \"bbox\": [8, 59, 27, 69]}, {\"cell\": \"30\", \"bbox\": [118, 59, 128, 69]}, {\"cell\": \"20 %\", \"bbox\": [181, 59, 199, 69]}, {\"cell\": \"85\", \"bbox\": [245, 59, 255, 69]}, {\"cell\": \"29 %\", \"bbox\": [292, 59, 310, 69]}, {\"cell\": \"1.00\", \"bbox\": [339, 59, 354, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [367, 59, 400, 69]}, {\"cell\": \"1.00\", \"bbox\": [418, 59, 433, 69]}, {\"cell\": \"Reference\", \"bbox\": [451, 59, 484, 69]}, {\"cell\": \" 6.0–14.9\", \"bbox\": [8, 73, 36, 83]}, {\"cell\": \"44\", \"bbox\": [118, 73, 128, 83]}, {\"cell\": \"29 %\", \"bbox\": [181, 73, 199, 83]}, {\"cell\": \"67\", \"bbox\": [245, 73, 255, 83]}, {\"cell\": \"23 %\", \"bbox\": [292, 73, 310, 83]}, {\"cell\": \"1.86\", \"bbox\": [339, 73, 354, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 73, 399, 83]}, {\"cell\": \"2.10\", \"bbox\": [418, 73, 433, 83]}, {\"cell\": \"1.16, 3.81\", \"bbox\": [452, 73, 483, 83]}, {\"cell\": \" 15.0–41.9\", \"bbox\": [8, 87, 40, 97]}, {\"cell\": \"39\", \"bbox\": [118, 87, 128, 97]}, {\"cell\": \"25 %\", \"bbox\": [181, 87, 199, 97]}, {\"cell\": \"72\", \"bbox\": [245, 87, 255, 97]}, {\"cell\": \"24 %\", \"bbox\": [292, 87, 310, 97]}, {\"cell\": \"1.53\", \"bbox\": [339, 87, 354, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 87, 399, 97]}, {\"cell\": \"1.97\", \"bbox\": [418, 87, 433, 97]}, {\"cell\": \"1.03, 3.79\", \"bbox\": [452, 87, 483, 97]}, {\"cell\": \" Greater or equal to 42.0\", \"bbox\": [8, 101, 87, 111]}, {\"cell\": \"40\", \"bbox\": [118, 101, 128, 111]}, {\"cell\": \"26 %\", \"bbox\": [181, 101, 199, 111]}, {\"cell\": \"72\", \"bbox\": [245, 101, 255, 111]}, {\"cell\": \"24 %\", \"bbox\": [292, 101, 310, 111]}, {\"cell\": \"1.57\", \"bbox\": [339, 101, 354, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 101, 399, 111]}, {\"cell\": \"2.03\", \"bbox\": [418, 101, 433, 111]}, {\"cell\": \"1.04, 3.97\", \"bbox\": [452, 101, 483, 111]}, {\"cell\": \"Only severe pneumonia cases (sensitivity analysis)\", \"bbox\": [0, 115, 162, 125]}, {\"cell\": \"Total urinary arsenic (μg/L)\", \"bbox\": [0, 129, 88, 139]}, {\"cell\": \"Case convalescent urine samples (<i>N</i> = 135)\", \"bbox\": [93, 129, 223, 139]}, {\"cell\": \"Control urine samples (<i>N</i> = 296)\", \"bbox\": [228, 129, 325, 139]}, {\"cell\": \"Crude OR\", \"bbox\": [330, 129, 363, 139]}, {\"cell\": \"95 % CI\", \"bbox\": [370, 129, 397, 139]}, {\"cell\": \"Adjusted OR\", \"bbox\": [405, 129, 447, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [454, 129, 481, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No.\", \"bbox\": [116, 143, 129, 153]}, {\"cell\": \"%\", \"bbox\": [186, 143, 194, 153]}, {\"cell\": \"No.\", \"bbox\": [243, 143, 256, 153]}, {\"cell\": \"%\", \"bbox\": [297, 143, 305, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0–5.9\", \"bbox\": [8, 157, 27, 167]}, {\"cell\": \"24\", \"bbox\": [118, 157, 128, 167]}, {\"cell\": \"18 %\", \"bbox\": [181, 157, 199, 167]}, {\"cell\": \"85\", \"bbox\": [245, 157, 255, 167]}, {\"cell\": \"29 %\", \"bbox\": [292, 157, 310, 167]}, {\"cell\": \"1.00\", \"bbox\": [339, 157, 354, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [367, 157, 400, 167]}, {\"cell\": \"1.00\", \"bbox\": [418, 157, 433, 167]}, {\"cell\": \"Reference\", \"bbox\": [451, 157, 484, 167]}, {\"cell\": \" 6.0–14.9\", \"bbox\": [8, 171, 36, 181]}, {\"cell\": \"39\", \"bbox\": [118, 171, 128, 181]}, {\"cell\": \"29 %\", \"bbox\": [181, 171, 199, 181]}, {\"cell\": \"67\", \"bbox\": [245, 171, 255, 181]}, {\"cell\": \"23 %\", \"bbox\": [292, 171, 310, 181]}, {\"cell\": \"2.06\", \"bbox\": [339, 171, 354, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 171, 399, 181]}, {\"cell\": \"2.30\", \"bbox\": [418, 171, 433, 181]}, {\"cell\": \"1.22, 4.32\", \"bbox\": [452, 171, 483, 181]}, {\"cell\": \" 15.0–41.9\", \"bbox\": [8, 185, 40, 195]}, {\"cell\": \"38\", \"bbox\": [118, 185, 128, 195]}, {\"cell\": \"28 %\", \"bbox\": [181, 185, 199, 195]}, {\"cell\": \"72\", \"bbox\": [245, 185, 255, 195]}, {\"cell\": \"24 %\", \"bbox\": [292, 185, 310, 195]}, {\"cell\": \"1.87\", \"bbox\": [339, 185, 354, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 185, 399, 195]}, {\"cell\": \"2.26\", \"bbox\": [418, 185, 433, 195]}, {\"cell\": \"1.15, 4.46\", \"bbox\": [452, 185, 483, 195]}, {\"cell\": \" Greater or equal to 42.0\", \"bbox\": [8, 199, 87, 209]}, {\"cell\": \"34\", \"bbox\": [118, 199, 128, 209]}, {\"cell\": \"25 %\", \"bbox\": [181, 199, 199, 209]}, {\"cell\": \"72\", \"bbox\": [245, 199, 255, 209]}, {\"cell\": \"24 %\", \"bbox\": [292, 199, 310, 209]}, {\"cell\": \"1.67\", \"bbox\": [339, 199, 354, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [368, 199, 399, 209]}, {\"cell\": \"2.09\", \"bbox\": [418, 199, 433, 209]}, {\"cell\": \"1.03, 4.23\", \"bbox\": [452, 199, 483, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4619558_006_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}763{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>Direction</b></td><td><b>Sequence (5′–3′)</b></td><td><b>Amplicon size (bp)</b></td></tr></thead><tbody><tr><td><i>Agactin</i></td><td>Forward</td><td>CTTCCTGCCATATATGATTGG</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>GCCAGCACCTCGATCTTCATG</td><td>[EMPTY_CELL]</td></tr><tr><td><i>AgPAL</i></td><td>Forward</td><td>AATAGACTTGAGGCATTTGGAGG</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>ACAGAATCTTGAGGGATGGAGTT</td><td>[EMPTY_CELL]</td></tr><tr><td><i>AgC4H</i></td><td>Forward</td><td>TCCTGATTTGGCTAAAGATGT</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>TCTTCCTCCAATGCTCACTAT</td><td>[EMPTY_CELL]</td></tr><tr><td><i>AgC3H</i></td><td>Forward</td><td>AAGAGGAGCTGGACCGGGTAA</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>TTGGCACTGGCTTTGTGAGGG</td><td>[EMPTY_CELL]</td></tr><tr><td><i>AgF5H</i></td><td>Forward</td><td>CTTCATTCTTCCGCTGCTTAGTT</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>TTTAGCCAGTCCACGATGAGATA</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Ag4CL</i></td><td>Forward</td><td>GGCAACTTCTGAAACATTGGTAG</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>GGACCTGGTATCCCTTGTACTTTAT</td><td>[EMPTY_CELL]</td></tr><tr><td><i>AgHCT</i></td><td>Forward</td><td>TTACTTCCTCCACTCCCACCA</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>TAATCATTGTCCATCCGTGCC</td><td>[EMPTY_CELL]</td></tr><tr><td><i>AgCOMT</i></td><td>Forward</td><td>GATGAGGGAAAGGTAGTTGTTGC</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>ATAGGCGTCTAACTGAAGGACAG</td><td>[EMPTY_CELL]</td></tr><tr><td><i>AgCCoAOMT</i></td><td>Forward</td><td>GGCTTCTAATGCTGAATCCAAAC</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>CTAAGCTCTTTCATTGCCTCTGG</td><td>[EMPTY_CELL]</td></tr><tr><td><i>AgCCR</i></td><td>Forward</td><td>GCTGGGCTTTCTGGCTATTCT</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>TTGCTGCACATGCCTCGATTA</td><td>[EMPTY_CELL]</td></tr><tr><td><i>AgCAD</i></td><td>Forward</td><td>GGCTACATAGCATCATGGCTTGT</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>TGAAGTCTATCCTTGGCTCCCTC</td><td>[EMPTY_CELL]</td></tr><tr><td><i>AgPOD</i></td><td>Forward</td><td>TGTTGCTTTGGCGAATGGTCC</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Reverse</td><td>TAACATCCGGCATATCCTCTG</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [4, 5, 24, 16]}, {\"cell\": \"<b>Direction</b>\", \"bbox\": [130, 5, 162, 16]}, {\"cell\": \"<b>Sequence (5′–3′)</b>\", \"bbox\": [274, 5, 333, 16]}, {\"cell\": \"<b>Amplicon size (bp)</b>\", \"bbox\": [446, 5, 509, 16]}, {\"cell\": \"<i>Agactin</i>\", \"bbox\": [4, 21, 32, 32]}, {\"cell\": \"Forward\", \"bbox\": [130, 21, 161, 30]}, {\"cell\": \"CTTCCTGCCATATATGATTGG\", \"bbox\": [239, 21, 347, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 21, 486, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 30, 158, 39]}, {\"cell\": \"GCCAGCACCTCGATCTTCATG\", \"bbox\": [239, 30, 353, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>AgPAL</i>\", \"bbox\": [4, 40, 28, 51]}, {\"cell\": \"Forward\", \"bbox\": [130, 40, 161, 49]}, {\"cell\": \"AATAGACTTGAGGCATTTGGAGG\", \"bbox\": [239, 40, 365, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 40, 486, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 49, 158, 58]}, {\"cell\": \"ACAGAATCTTGAGGGATGGAGTT\", \"bbox\": [239, 49, 365, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>AgC4H</i>\", \"bbox\": [4, 59, 31, 70]}, {\"cell\": \"Forward\", \"bbox\": [130, 59, 161, 68]}, {\"cell\": \"TCCTGATTTGGCTAAAGATGT\", \"bbox\": [239, 59, 348, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 59, 486, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 68, 158, 77]}, {\"cell\": \"TCTTCCTCCAATGCTCACTAT\", \"bbox\": [239, 68, 345, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>AgC3H</i>\", \"bbox\": [4, 78, 31, 89]}, {\"cell\": \"Forward\", \"bbox\": [130, 78, 161, 87]}, {\"cell\": \"AAGAGGAGCTGGACCGGGTAA\", \"bbox\": [239, 78, 363, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 78, 486, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 87, 158, 96]}, {\"cell\": \"TTGGCACTGGCTTTGTGAGGG\", \"bbox\": [239, 87, 353, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>AgF5H</i>\", \"bbox\": [4, 97, 29, 107]}, {\"cell\": \"Forward\", \"bbox\": [130, 97, 161, 106]}, {\"cell\": \"CTTCATTCTTCCGCTGCTTAGTT\", \"bbox\": [239, 97, 352, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 97, 486, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 106, 158, 115]}, {\"cell\": \"TTTAGCCAGTCCACGATGAGATA\", \"bbox\": [239, 106, 363, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Ag4CL</i>\", \"bbox\": [4, 116, 29, 126]}, {\"cell\": \"Forward\", \"bbox\": [130, 116, 161, 125]}, {\"cell\": \"GGCAACTTCTGAAACATTGGTAG\", \"bbox\": [239, 116, 364, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 116, 486, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 125, 158, 134]}, {\"cell\": \"GGACCTGGTATCCCTTGTACTTTAT\", \"bbox\": [239, 125, 367, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>AgHCT</i>\", \"bbox\": [4, 135, 30, 145]}, {\"cell\": \"Forward\", \"bbox\": [130, 135, 161, 143]}, {\"cell\": \"TTACTTCCTCCACTCCCACCA\", \"bbox\": [239, 135, 348, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 135, 486, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 144, 158, 153]}, {\"cell\": \"TAATCATTGTCCATCCGTGCC\", \"bbox\": [239, 144, 348, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>AgCOMT</i>\", \"bbox\": [4, 154, 38, 164]}, {\"cell\": \"Forward\", \"bbox\": [130, 154, 161, 162]}, {\"cell\": \"GATGAGGGAAAGGTAGTTGTTGC\", \"bbox\": [239, 154, 367, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 154, 486, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 163, 158, 172]}, {\"cell\": \"ATAGGCGTCTAACTGAAGGACAG\", \"bbox\": [239, 163, 368, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>AgCCoAOMT</i>\", \"bbox\": [4, 173, 53, 183]}, {\"cell\": \"Forward\", \"bbox\": [130, 173, 161, 181]}, {\"cell\": \"GGCTTCTAATGCTGAATCCAAAC\", \"bbox\": [239, 173, 362, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 173, 486, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 182, 158, 191]}, {\"cell\": \"CTAAGCTCTTTCATTGCCTCTGG\", \"bbox\": [239, 182, 357, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>AgCCR</i>\", \"bbox\": [4, 192, 30, 202]}, {\"cell\": \"Forward\", \"bbox\": [130, 191, 161, 200]}, {\"cell\": \"GCTGGGCTTTCTGGCTATTCT\", \"bbox\": [239, 191, 347, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 191, 486, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 201, 158, 210]}, {\"cell\": \"TTGCTGCACATGCCTCGATTA\", \"bbox\": [239, 201, 349, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>AgCAD</i>\", \"bbox\": [4, 211, 32, 221]}, {\"cell\": \"Forward\", \"bbox\": [130, 210, 161, 219]}, {\"cell\": \"GGCTACATAGCATCATGGCTTGT\", \"bbox\": [239, 210, 362, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 210, 486, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 220, 158, 229]}, {\"cell\": \"TGAAGTCTATCCTTGGCTCCCTC\", \"bbox\": [239, 220, 359, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>AgPOD</i>\", \"bbox\": [4, 230, 32, 240]}, {\"cell\": \"Forward\", \"bbox\": [130, 229, 161, 238]}, {\"cell\": \"TGTTGCTTTGGCGAATGGTCC\", \"bbox\": [239, 229, 350, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 229, 486, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reverse\", \"bbox\": [130, 239, 158, 248]}, {\"cell\": \"TAACATCCGGCATATCCTCTG\", \"bbox\": [239, 239, 350, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4317703_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}764{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Population/exposure</b></td><td colspan=\\\"2\\\"><b>Nonexposed to endotoxin-related activities<sup><i>a</i></sup></b></td><td colspan=\\\"2\\\"><b>Exposed to endotoxin-related activities<sup><i>a</i></sup></b></td><td rowspan=\\\"2\\\"><b><i>p</i> for interaction<sup><i>d</i></sup></b></td></tr><tr><td><b>Cases<sup><i>b</i></sup> (<i>n</i>)</b></td><td><b>RR<sup><i>c</i></sup> (95% CI)</b></td><td><b>Cases<sup><i>b</i></sup>(<i>n</i>)</b></td><td><b>RR<sup><i>c</i></sup> (95% CI)</b></td></tr></thead><tbody><tr><td><b>Farmers</b></td></tr><tr><td><b>Diesel tractors</b></td></tr><tr><td><b>No/low<sup><i>e</i></sup></b></td><td>72</td><td>1.00</td><td>107 </td><td>[EMPTY_CELL]</td><td>0.63</td></tr><tr><td><b>Intermediate<sup><i>f</i></sup></b></td><td>10</td><td>0.99 (0.50, 1.93)</td><td>41</td><td>[EMPTY_CELL]</td></tr><tr><td><b>High<sup><i>g</i></sup></b></td><td>6 </td><td>1.83 (0.79, 4.25)</td><td>29</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Gasoline tractors</b></td></tr><tr><td><b>No/low<sup><i>e</i></sup></b></td><td>82 </td><td>1.00</td><td>155 </td><td>[EMPTY_CELL]</td><td>0.33</td></tr><tr><td><b>Intermediate<sup><i>f</i></sup>/high<sup><i>g</i></sup></b></td><td>6 </td><td>1.63 (0.71, 3.75)</td><td>19 </td><td>[EMPTY_CELL]</td></tr><tr><td><b>Combines or other types of crop harvesters</b></td></tr><tr><td><b>0 day</b></td><td>49</td><td>1.00</td><td>38</td><td>[EMPTY_CELL]</td><td>0.43</td></tr><tr><td><b>1–30 days</b></td><td>33 </td><td>1.38 (0.88, 2.17)</td><td>113 </td><td>[EMPTY_CELL]</td></tr><tr><td><b>≥ 31 days</b></td><td>6 </td><td>0.80 (0.34, 1.89)</td><td>24 </td><td>[EMPTY_CELL]</td></tr><tr><td><b>Trucks</b></td></tr><tr><td><b>No/low<sup><i>e</i></sup></b></td><td>64</td><td>1.00</td><td>129 </td><td>[EMPTY_CELL]</td><td>0.50</td></tr><tr><td><b>Intermediate<sup><i>f</i></sup></b></td><td>4</td><td>0.70 (0.25, 1.91)</td><td>11</td><td>[EMPTY_CELL]</td></tr><tr><td><b>High<sup><i>g</i></sup></b></td><td>18</td><td>0.84 (0.49, 1.41)</td><td>34</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Spouses</b></td></tr><tr><td><b>Diesel tractors</b></td></tr><tr><td><b>No/< monthly </b></td><td>75 </td><td>1.00</td><td>46 </td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td><b>≥ Monthly</b></td><td>19 </td><td>1.24 (0.75, 2.07)</td><td>15 </td><td>[EMPTY_CELL]</td></tr><tr><td><b>Gasoline tractors</b></td></tr><tr><td><b>No/< monthly </b></td><td>82 </td><td>1.00 </td><td>46</td><td>[EMPTY_CELL]</td><td>0.16</td></tr><tr><td><b>≥ Monthly</b></td><td>13 </td><td>0.93 (0.52, 1.67)</td><td>14 </td><td>[EMPTY_CELL]</td></tr><tr><td><b>Combines or other types of crop harvesters</b></td></tr><tr><td><b>0 day</b></td><td>94</td><td>1.00</td><td>55</td><td>[EMPTY_CELL]</td><td>0.66</td></tr><tr><td><b>≥ 1 day</b></td><td>5</td><td>0.87 (0.35, 2.13)</td><td>7 </td><td>[EMPTY_CELL]</td></tr><tr><td><b>Trucks</b></td></tr><tr><td><b>No/< monthly</b></td><td>72</td><td>1.00</td><td>36 </td><td>[EMPTY_CELL]</td><td>0.78</td></tr><tr><td><b>≥ Monthly</b></td><td>23</td><td>0.86 (0.53, 1.37)</td><td>24 </td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"6\\\"><sup><i><b>a</b></i></sup>Endotoxin-related activities were defined by current exposure to animals or stored grain in farmers and exposure to farm animals in the year before enrollment in spouses. <sup><i><b>b</b></i></sup>Case counts do not sum to total counts because of missing values for exposure variables. <sup><i><b>c</b></i></sup>For farmers: rate ratios were adjusted for age, cigarette pack-years (non-smokers, < 20, 20–39, 40–59, ≥ 60, missing), state, race, and level of education; for spouses: rate ratios were adjusted for age, pack-years (non-smokers, < 20, 20–39, ≥ 40, missing), and level of education. <sup><i><b>d</b></i></sup><i>p</i> for interaction was obtained from the likelihood ratio test by adding cross-product terms between each category of exposure and the variable reflecting potential exposure to endotoxins. <sup><i><b>e</b></i></sup>No or low exposure was defined by driving < daily in one season. <sup><i><b>f</b></i></sup>Intermediate exposure: daily driving in one season. <sup><i><b>g</b></i></sup>High exposure: daily driving in both seasons. </td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Population/exposure</b>\", \"bbox\": [3, 34, 64, 43]}, {\"cell\": \"<b>Nonexposed to endotoxin-related activities<sup><i>a</i></sup></b>\", \"bbox\": [131, 3, 215, 22]}, {\"cell\": \"<b>Exposed to endotoxin-related activities<sup><i>a</i></sup></b>\", \"bbox\": [219, 3, 302, 22]}, {\"cell\": \"<b><i>p</i> for interaction<sup><i>d</i></sup></b>\", \"bbox\": [305, 25, 341, 43]}, {\"cell\": \"<b>Cases<sup><i>b</i></sup> (<i>n</i>)</b>\", \"bbox\": [131, 24, 153, 43]}, {\"cell\": \"<b>RR<sup><i>c</i></sup> (95% CI)</b>\", \"bbox\": [167, 33, 205, 43]}, {\"cell\": \"<b>Cases<sup><i>b</i></sup>(<i>n</i>)</b>\", \"bbox\": [219, 24, 241, 43]}, {\"cell\": \"<b>RR<sup><i>c</i></sup> (95% CI)</b>\", \"bbox\": [254, 33, 292, 43]}, {\"cell\": \"<b>Farmers</b>\", \"bbox\": [3, 45, 28, 55]}, {\"cell\": \"<b>Diesel tractors</b>\", \"bbox\": [3, 55, 47, 64]}, {\"cell\": \"<b>No/low<sup><i>e</i></sup></b>\", \"bbox\": [7, 63, 33, 74]}, {\"cell\": \"72\", \"bbox\": [139, 64, 148, 74]}, {\"cell\": \"1.00\", \"bbox\": [179, 64, 193, 74]}, {\"cell\": \"107 \", \"bbox\": [224, 64, 237, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 64, 280, 74]}, {\"cell\": \"0.63\", \"bbox\": [315, 64, 329, 74]}, {\"cell\": \"<b>Intermediate<sup><i>f</i></sup></b>\", \"bbox\": [6, 72, 47, 83]}, {\"cell\": \"10\", \"bbox\": [139, 73, 148, 83]}, {\"cell\": \"0.99 (0.50, 1.93)\", \"bbox\": [162, 73, 210, 83]}, {\"cell\": \"41\", \"bbox\": [227, 73, 237, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 73, 297, 83]}, {\"cell\": \"<b>High<sup><i>g</i></sup></b>\", \"bbox\": [6, 82, 24, 92]}, {\"cell\": \"6 \", \"bbox\": [142, 83, 148, 92]}, {\"cell\": \"1.83 (0.79, 4.25)\", \"bbox\": [162, 83, 210, 92]}, {\"cell\": \"29\", \"bbox\": [227, 83, 237, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 83, 297, 92]}, {\"cell\": \"<b>Gasoline tractors</b>\", \"bbox\": [2, 92, 54, 101]}, {\"cell\": \"<b>No/low<sup><i>e</i></sup></b>\", \"bbox\": [6, 100, 33, 111]}, {\"cell\": \"82 \", \"bbox\": [139, 101, 148, 111]}, {\"cell\": \"1.00\", \"bbox\": [179, 101, 193, 111]}, {\"cell\": \"155 \", \"bbox\": [224, 101, 237, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 101, 280, 111]}, {\"cell\": \"0.33\", \"bbox\": [315, 101, 329, 111]}, {\"cell\": \"<b>Intermediate<sup><i>f</i></sup>/high<sup><i>g</i></sup></b>\", \"bbox\": [6, 110, 65, 120]}, {\"cell\": \"6 \", \"bbox\": [142, 110, 148, 120]}, {\"cell\": \"1.63 (0.71, 3.75)\", \"bbox\": [162, 110, 210, 120]}, {\"cell\": \"19 \", \"bbox\": [227, 110, 237, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 110, 297, 120]}, {\"cell\": \"<b>Combines or other types of crop harvesters</b>\", \"bbox\": [2, 120, 128, 129]}, {\"cell\": \"<b>0 day</b>\", \"bbox\": [6, 129, 24, 139]}, {\"cell\": \"49\", \"bbox\": [139, 129, 148, 139]}, {\"cell\": \"1.00\", \"bbox\": [179, 129, 193, 139]}, {\"cell\": \"38\", \"bbox\": [227, 129, 237, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 129, 280, 139]}, {\"cell\": \"0.43\", \"bbox\": [315, 129, 329, 139]}, {\"cell\": \"<b>1–30 days</b>\", \"bbox\": [6, 138, 38, 148]}, {\"cell\": \"33 \", \"bbox\": [139, 138, 148, 148]}, {\"cell\": \"1.38 (0.88, 2.17)\", \"bbox\": [162, 138, 210, 148]}, {\"cell\": \"113 \", \"bbox\": [224, 138, 237, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 138, 297, 148]}, {\"cell\": \"<b>≥ 31 days</b>\", \"bbox\": [6, 148, 36, 157]}, {\"cell\": \"6 \", \"bbox\": [142, 148, 148, 157]}, {\"cell\": \"0.80 (0.34, 1.89)\", \"bbox\": [162, 148, 210, 157]}, {\"cell\": \"24 \", \"bbox\": [227, 148, 237, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 148, 297, 157]}, {\"cell\": \"<b>Trucks</b>\", \"bbox\": [2, 157, 23, 166]}, {\"cell\": \"<b>No/low<sup><i>e</i></sup></b>\", \"bbox\": [6, 165, 33, 176]}, {\"cell\": \"64\", \"bbox\": [139, 166, 148, 176]}, {\"cell\": \"1.00\", \"bbox\": [179, 166, 193, 176]}, {\"cell\": \"129 \", \"bbox\": [224, 166, 237, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 166, 280, 176]}, {\"cell\": \"0.50\", \"bbox\": [315, 166, 329, 176]}, {\"cell\": \"<b>Intermediate<sup><i>f</i></sup></b>\", \"bbox\": [6, 175, 47, 185]}, {\"cell\": \"4\", \"bbox\": [142, 176, 148, 185]}, {\"cell\": \"0.70 (0.25, 1.91)\", \"bbox\": [162, 176, 210, 185]}, {\"cell\": \"11\", \"bbox\": [227, 176, 237, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 176, 297, 185]}, {\"cell\": \"<b>High<sup><i>g</i></sup></b>\", \"bbox\": [6, 184, 24, 194]}, {\"cell\": \"18\", \"bbox\": [139, 185, 148, 194]}, {\"cell\": \"0.84 (0.49, 1.41)\", \"bbox\": [162, 185, 210, 194]}, {\"cell\": \"34\", \"bbox\": [227, 185, 237, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 185, 297, 194]}, {\"cell\": \"<b>Spouses</b>\", \"bbox\": [2, 194, 29, 204]}, {\"cell\": \"<b>Diesel tractors</b>\", \"bbox\": [2, 203, 47, 213]}, {\"cell\": \"<b>No/< monthly </b>\", \"bbox\": [6, 213, 48, 222]}, {\"cell\": \"75 \", \"bbox\": [139, 213, 148, 222]}, {\"cell\": \"1.00\", \"bbox\": [179, 213, 193, 222]}, {\"cell\": \"46 \", \"bbox\": [227, 213, 237, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 213, 280, 222]}, {\"cell\": \"0.01\", \"bbox\": [315, 213, 329, 222]}, {\"cell\": \"<b>≥ Monthly</b>\", \"bbox\": [6, 222, 38, 231]}, {\"cell\": \"19 \", \"bbox\": [139, 222, 148, 231]}, {\"cell\": \"1.24 (0.75, 2.07)\", \"bbox\": [162, 222, 210, 231]}, {\"cell\": \"15 \", \"bbox\": [227, 222, 237, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 222, 297, 231]}, {\"cell\": \"<b>Gasoline tractors</b>\", \"bbox\": [2, 231, 54, 241]}, {\"cell\": \"<b>No/< monthly </b>\", \"bbox\": [6, 241, 48, 250]}, {\"cell\": \"82 \", \"bbox\": [139, 241, 148, 250]}, {\"cell\": \"1.00 \", \"bbox\": [179, 241, 193, 250]}, {\"cell\": \"46\", \"bbox\": [227, 241, 237, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 241, 280, 250]}, {\"cell\": \"0.16\", \"bbox\": [315, 241, 329, 250]}, {\"cell\": \"<b>≥ Monthly</b>\", \"bbox\": [6, 250, 38, 259]}, {\"cell\": \"13 \", \"bbox\": [139, 250, 148, 259]}, {\"cell\": \"0.93 (0.52, 1.67)\", \"bbox\": [162, 250, 210, 259]}, {\"cell\": \"14 \", \"bbox\": [227, 250, 237, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 250, 297, 259]}, {\"cell\": \"<b>Combines or other types of crop harvesters</b>\", \"bbox\": [2, 259, 128, 269]}, {\"cell\": \"<b>0 day</b>\", \"bbox\": [6, 268, 24, 278]}, {\"cell\": \"94\", \"bbox\": [139, 268, 148, 278]}, {\"cell\": \"1.00\", \"bbox\": [179, 268, 193, 278]}, {\"cell\": \"55\", \"bbox\": [227, 268, 237, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 268, 280, 278]}, {\"cell\": \"0.66\", \"bbox\": [315, 268, 329, 278]}, {\"cell\": \"<b>≥ 1 day</b>\", \"bbox\": [6, 278, 30, 287]}, {\"cell\": \"5\", \"bbox\": [142, 278, 148, 287]}, {\"cell\": \"0.87 (0.35, 2.13)\", \"bbox\": [162, 278, 210, 287]}, {\"cell\": \"7 \", \"bbox\": [231, 278, 237, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 278, 297, 287]}, {\"cell\": \"<b>Trucks</b>\", \"bbox\": [2, 287, 23, 296]}, {\"cell\": \"<b>No/< monthly</b>\", \"bbox\": [6, 296, 48, 306]}, {\"cell\": \"72\", \"bbox\": [139, 296, 148, 306]}, {\"cell\": \"1.00\", \"bbox\": [179, 296, 193, 306]}, {\"cell\": \"36 \", \"bbox\": [227, 296, 237, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [266, 296, 280, 306]}, {\"cell\": \"0.78\", \"bbox\": [315, 296, 329, 306]}, {\"cell\": \"<b>≥ Monthly</b>\", \"bbox\": [6, 306, 38, 315]}, {\"cell\": \"23\", \"bbox\": [139, 306, 148, 315]}, {\"cell\": \"0.86 (0.53, 1.37)\", \"bbox\": [162, 306, 210, 315]}, {\"cell\": \"24 \", \"bbox\": [227, 306, 237, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 306, 297, 315]}, {\"cell\": \"<sup><i><b>a</b></i></sup>Endotoxin-related activities were defined by current exposure to animals or stored grain in farmers and exposure to farm animals in the year before enrollment in spouses. <sup><i><b>b</b></i></sup>Case counts do not sum to total counts because of missing values for exposure variables. <sup><i><b>c</b></i></sup>For farmers: rate ratios were adjusted for age, cigarette pack-years (non-smokers, < 20, 20–39, 40–59, ≥ 60, missing), state, race, and level of education; for spouses: rate ratios were adjusted for age, pack-years (non-smokers, < 20, 20–39, ≥ 40, missing), and level of education. <sup><i><b>d</b></i></sup><i>p</i> for interaction was obtained from the likelihood ratio test by adding cross-product terms between each category of exposure and the variable reflecting potential exposure to endotoxins. <sup><i><b>e</b></i></sup>No or low exposure was defined by driving < daily in one season. <sup><i><b>f</b></i></sup>Intermediate exposure: daily driving in one season. <sup><i><b>g</b></i></sup>High exposure: daily driving in both seasons. \", \"bbox\": [2, 318, 341, 383]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4858397_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}765{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td><td><b>Number</b></td><td><b>Percent</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Age</td></tr><tr><td colspan=\\\"3\\\"> 18–34</td><td>[EMPTY_CELL]</td><td>7.3</td></tr><tr><td colspan=\\\"3\\\"> 35–49</td><td>[EMPTY_CELL]</td><td>33.8</td></tr><tr><td colspan=\\\"3\\\"> 50–64</td><td>[EMPTY_CELL]</td><td>44.7</td></tr><tr><td colspan=\\\"3\\\"> 65+</td><td>[EMPTY_CELL]</td><td>14.2</td></tr><tr><td colspan=\\\"5\\\">Education</td></tr><tr><td colspan=\\\"3\\\"> Secondary/non-university tertiary or below</td><td>[EMPTY_CELL]</td><td>54.3</td></tr><tr><td colspan=\\\"3\\\"> University educated</td><td>[EMPTY_CELL]</td><td>45.6</td></tr><tr><td colspan=\\\"5\\\">Residential location</td></tr><tr><td colspan=\\\"3\\\"> Inner city</td><td>[EMPTY_CELL]</td><td>62.4</td></tr><tr><td colspan=\\\"3\\\"> Suburban</td><td>[EMPTY_CELL]</td><td>16.6</td></tr><tr><td colspan=\\\"3\\\"> Regional/rural</td><td>[EMPTY_CELL]</td><td>21.1</td></tr><tr><td colspan=\\\"5\\\">Year first tested positive for HIV</td></tr><tr><td colspan=\\\"3\\\"> 1980–1995</td><td>[EMPTY_CELL]</td><td>22.6</td></tr><tr><td colspan=\\\"3\\\"> 1996–2009</td><td>[EMPTY_CELL]</td><td>38.3</td></tr><tr><td colspan=\\\"3\\\"> 2010–2017</td><td>[EMPTY_CELL]</td><td>37.0</td></tr><tr><td colspan=\\\"5\\\">Year started treatment</td></tr><tr><td colspan=\\\"3\\\"> 1980–1995</td><td>[EMPTY_CELL]</td><td>10.8</td></tr><tr><td colspan=\\\"3\\\"> 1996–2009</td><td>[EMPTY_CELL]</td><td>37.4</td></tr><tr><td colspan=\\\"3\\\"> 2010–2017</td><td>[EMPTY_CELL]</td><td>47.3</td></tr><tr><td colspan=\\\"5\\\">Treatment status</td></tr><tr><td colspan=\\\"3\\\"> Currently taking ART</td><td>[EMPTY_CELL]</td><td>96.1</td></tr><tr><td colspan=\\\"3\\\"> Not taking ART</td><td>[EMPTY_CELL]</td><td>3.7</td></tr><tr><td colspan=\\\"5\\\">Most recent viral load test</td></tr><tr><td colspan=\\\"3\\\"> Undetectable</td><td>[EMPTY_CELL]</td><td>92.9</td></tr><tr><td colspan=\\\"3\\\"> Detectable</td><td>[EMPTY_CELL]</td><td>5.4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(SD)</td><td colspan=\\\"2\\\">Possible range</td></tr><tr><td>SF-36 PCS</td><td>[EMPTY_CELL]</td><td>(11.68)</td><td colspan=\\\"2\\\">N(50, 10)</td></tr><tr><td>SF-36 MCS</td><td>[EMPTY_CELL]</td><td>(13.42)</td><td colspan=\\\"2\\\">N(50, 10)</td></tr><tr><td>FAHI</td><td>[EMPTY_CELL]</td><td>(0.82)</td><td colspan=\\\"2\\\">1–5</td></tr><tr><td>K6</td><td>[EMPTY_CELL]</td><td>(1.00)</td><td colspan=\\\"2\\\">1–5</td></tr><tr><td>S-WEMWBS</td><td>[EMPTY_CELL]</td><td>(0.87)</td><td colspan=\\\"2\\\">1–5</td></tr><tr><td>SWLS</td><td>[EMPTY_CELL]</td><td>(1.69)</td><td colspan=\\\"2\\\">1–7</td></tr><tr><td>BRS</td><td>[EMPTY_CELL]</td><td>(0.93)</td><td colspan=\\\"2\\\">1–5</td></tr><tr><td>IA-RSS</td><td>[EMPTY_CELL]</td><td>(0.37)</td><td colspan=\\\"2\\\">0–1</td></tr><tr><td>ISEL-12</td><td>[EMPTY_CELL]</td><td>(0.77)</td><td colspan=\\\"2\\\">1–4</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number</b>\", \"bbox\": [171, 4, 200, 13]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [210, 4, 236, 13]}, {\"cell\": \"Age\", \"bbox\": [1, 17, 15, 27]}, {\"cell\": \" 18–34\", \"bbox\": [8, 31, 30, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 31, 181, 41]}, {\"cell\": \"7.3\", \"bbox\": [210, 31, 221, 41]}, {\"cell\": \" 35–49\", \"bbox\": [8, 45, 30, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 45, 185, 55]}, {\"cell\": \"33.8\", \"bbox\": [210, 45, 225, 55]}, {\"cell\": \" 50–64\", \"bbox\": [8, 59, 30, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 59, 185, 69]}, {\"cell\": \"44.7\", \"bbox\": [210, 59, 225, 69]}, {\"cell\": \" 65+\", \"bbox\": [8, 73, 23, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 73, 181, 83]}, {\"cell\": \"14.2\", \"bbox\": [210, 73, 225, 83]}, {\"cell\": \"Education\", \"bbox\": [1, 87, 34, 97]}, {\"cell\": \" Secondary/non-university tertiary or below\", \"bbox\": [8, 101, 147, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 101, 185, 111]}, {\"cell\": \"54.3\", \"bbox\": [210, 101, 225, 111]}, {\"cell\": \" University educated\", \"bbox\": [8, 115, 74, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 115, 185, 125]}, {\"cell\": \"45.6\", \"bbox\": [210, 115, 225, 125]}, {\"cell\": \"Residential location\", \"bbox\": [1, 129, 65, 139]}, {\"cell\": \" Inner city\", \"bbox\": [8, 143, 40, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 143, 185, 153]}, {\"cell\": \"62.4\", \"bbox\": [210, 143, 225, 153]}, {\"cell\": \" Suburban\", \"bbox\": [8, 157, 41, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 157, 181, 167]}, {\"cell\": \"16.6\", \"bbox\": [210, 157, 225, 167]}, {\"cell\": \" Regional/rural\", \"bbox\": [8, 171, 55, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 171, 181, 181]}, {\"cell\": \"21.1\", \"bbox\": [210, 171, 225, 181]}, {\"cell\": \"Year first tested positive for HIV\", \"bbox\": [1, 185, 103, 195]}, {\"cell\": \" 1980–1995\", \"bbox\": [8, 199, 45, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 199, 185, 209]}, {\"cell\": \"22.6\", \"bbox\": [210, 199, 225, 209]}, {\"cell\": \" 1996–2009\", \"bbox\": [8, 213, 45, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 213, 185, 223]}, {\"cell\": \"38.3\", \"bbox\": [210, 213, 225, 223]}, {\"cell\": \" 2010–2017\", \"bbox\": [8, 227, 45, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 227, 185, 237]}, {\"cell\": \"37.0\", \"bbox\": [210, 227, 225, 237]}, {\"cell\": \"Year started treatment\", \"bbox\": [1, 241, 74, 251]}, {\"cell\": \" 1980–1995\", \"bbox\": [8, 255, 45, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 255, 181, 265]}, {\"cell\": \"10.8\", \"bbox\": [210, 255, 225, 265]}, {\"cell\": \" 1996–2009\", \"bbox\": [8, 269, 45, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 269, 185, 279]}, {\"cell\": \"37.4\", \"bbox\": [210, 269, 225, 279]}, {\"cell\": \" 2010–2017\", \"bbox\": [8, 283, 45, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 283, 185, 293]}, {\"cell\": \"47.3\", \"bbox\": [210, 283, 225, 293]}, {\"cell\": \"Treatment status\", \"bbox\": [1, 297, 56, 307]}, {\"cell\": \" Currently taking ART\", \"bbox\": [8, 311, 76, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 311, 185, 321]}, {\"cell\": \"96.1\", \"bbox\": [210, 311, 225, 321]}, {\"cell\": \" Not taking ART\", \"bbox\": [8, 325, 59, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 325, 181, 335]}, {\"cell\": \"3.7\", \"bbox\": [210, 325, 221, 335]}, {\"cell\": \"Most recent viral load test\", \"bbox\": [1, 339, 86, 349]}, {\"cell\": \" Undetectable\", \"bbox\": [8, 353, 53, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 353, 185, 363]}, {\"cell\": \"92.9\", \"bbox\": [210, 353, 225, 363]}, {\"cell\": \" Detectable\", \"bbox\": [8, 367, 45, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [171, 367, 181, 377]}, {\"cell\": \"5.4\", \"bbox\": [210, 367, 221, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 381, 89, 391]}, {\"cell\": \"(SD)\", \"bbox\": [119, 381, 134, 391]}, {\"cell\": \"Possible range\", \"bbox\": [171, 381, 220, 391]}, {\"cell\": \"SF-36 PCS\", \"bbox\": [1, 395, 34, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 395, 88, 405]}, {\"cell\": \"(11.68)\", \"bbox\": [119, 395, 141, 405]}, {\"cell\": \"N(50, 10)\", \"bbox\": [171, 395, 202, 405]}, {\"cell\": \"SF-36 MCS\", \"bbox\": [1, 409, 36, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 409, 88, 419]}, {\"cell\": \"(13.42)\", \"bbox\": [119, 409, 141, 419]}, {\"cell\": \"N(50, 10)\", \"bbox\": [171, 409, 202, 419]}, {\"cell\": \"FAHI\", \"bbox\": [1, 423, 17, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 423, 84, 433]}, {\"cell\": \"(0.82)\", \"bbox\": [119, 423, 138, 433]}, {\"cell\": \"1–5\", \"bbox\": [171, 423, 185, 433]}, {\"cell\": \"K6\", \"bbox\": [1, 437, 10, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 437, 84, 447]}, {\"cell\": \"(1.00)\", \"bbox\": [119, 437, 138, 447]}, {\"cell\": \"1–5\", \"bbox\": [171, 437, 185, 447]}, {\"cell\": \"S-WEMWBS\", \"bbox\": [1, 451, 39, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 451, 84, 461]}, {\"cell\": \"(0.87)\", \"bbox\": [119, 451, 138, 461]}, {\"cell\": \"1–5\", \"bbox\": [171, 451, 185, 461]}, {\"cell\": \"SWLS\", \"bbox\": [1, 465, 20, 475]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 465, 84, 475]}, {\"cell\": \"(1.69)\", \"bbox\": [119, 465, 138, 475]}, {\"cell\": \"1–7\", \"bbox\": [171, 465, 185, 475]}, {\"cell\": \"BRS\", \"bbox\": [1, 479, 14, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 479, 84, 489]}, {\"cell\": \"(0.93)\", \"bbox\": [119, 479, 138, 489]}, {\"cell\": \"1–5\", \"bbox\": [171, 479, 185, 489]}, {\"cell\": \"IA-RSS\", \"bbox\": [1, 493, 22, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 493, 84, 503]}, {\"cell\": \"(0.37)\", \"bbox\": [119, 493, 138, 503]}, {\"cell\": \"0–1\", \"bbox\": [171, 493, 185, 503]}, {\"cell\": \"ISEL-12\", \"bbox\": [1, 507, 25, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [69, 507, 84, 517]}, {\"cell\": \"(0.77)\", \"bbox\": [119, 507, 138, 517]}, {\"cell\": \"1–4\", \"bbox\": [171, 507, 185, 517]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5910603_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}766{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Main Role</b></td></tr><tr><td><b>Scope</b></td><td><b>Strategic decision/policy maker</b></td><td><b>Manager/Coordinator</b></td><td><b>Consultant</b></td><td><b>Research & Analysis</b></td><td><b>Front-Line Responder/Patient Care/Clinical</b></td><td><b>Other</b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\"><b>Canadian Participants</b></td></tr><tr><td>North American or National</td><td>3 (4.5%)</td><td>6 (9%)</td><td>-</td><td>9 (13.6%)</td><td>[EMPTY_CELL]</td><td>2 (3.0%)</td></tr><tr><td>Provincial/Territorial</td><td>1 (1.5%)</td><td>3 (4.5%)</td><td>4 (6.1%)</td><td>6 (9.1%)</td><td>[EMPTY_CELL]</td><td>2 (3.0%)</td></tr><tr><td>Local/Regional</td><td>2 (3.0%)</td><td>7 (10.6%)</td><td>1 (1.5%)</td><td>17 (25.8%)</td><td>[EMPTY_CELL]</td><td>1 (1.5%)</td></tr><tr><td><b>Totals</b></td><td><b>6 (9.1%)</b></td><td><b>16 (24.2%)</b></td><td><b>5 (7.6%)</b></td><td><b>32 (48.5%)</b></td><td>[EMPTY_CELL]</td><td><b>5 (7.6%)</b></td></tr><tr><td colspan=\\\"7\\\"><b>UK Participants</b></td></tr><tr><td>European or National</td><td>1 (3.6%)</td><td>1 (3.6%)</td><td>-</td><td>1 (3.6%)</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>Regional</td><td>2 (7.1%)</td><td>1 (3.6%)</td><td>2 (7.1%)</td><td>12 (42.9%)</td><td>[EMPTY_CELL]</td><td>-</td></tr><tr><td>Local</td><td>2 (7.1%)</td><td>-</td><td>-</td><td>4 (14.3%)</td><td>[EMPTY_CELL]</td><td>1 (3.6%)</td></tr><tr><td><b>Totals</b></td><td><b>5 (17.9%)</b></td><td><b>2 (7.1%)</b></td><td><b>2 (7.1%)</b></td><td><b>17 (60.7%)</b></td><td>[EMPTY_CELL]</td><td><b>1 (3.6%)</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Main Role</b>\", \"bbox\": [270, 5, 310, 14]}, {\"cell\": \"<b>Scope</b>\", \"bbox\": [4, 27, 30, 36]}, {\"cell\": \"<b>Strategic decision/policy maker</b>\", \"bbox\": [86, 27, 159, 46]}, {\"cell\": \"<b>Manager/Coordinator</b>\", \"bbox\": [178, 27, 228, 46]}, {\"cell\": \"<b>Consultant</b>\", \"bbox\": [243, 27, 288, 36]}, {\"cell\": \"<b>Research & Analysis</b>\", \"bbox\": [305, 27, 350, 46]}, {\"cell\": \"<b>Front-Line Responder/Patient Care/Clinical</b>\", \"bbox\": [369, 27, 458, 46]}, {\"cell\": \"<b>Other</b>\", \"bbox\": [468, 27, 494, 36]}, {\"cell\": \"<b>Canadian Participants</b>\", \"bbox\": [208, 58, 294, 68]}, {\"cell\": \"North American or National\", \"bbox\": [4, 81, 72, 99]}, {\"cell\": \"3 (4.5%)\", \"bbox\": [108, 81, 137, 90]}, {\"cell\": \"6 (9%)\", \"bbox\": [191, 81, 214, 90]}, {\"cell\": \"-\", \"bbox\": [263, 81, 268, 90]}, {\"cell\": \"9 (13.6%)\", \"bbox\": [311, 81, 344, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 81, 428, 90]}, {\"cell\": \"2 (3.0%)\", \"bbox\": [466, 81, 496, 90]}, {\"cell\": \"Provincial/Territorial\", \"bbox\": [4, 100, 76, 110]}, {\"cell\": \"1 (1.5%)\", \"bbox\": [108, 100, 137, 110]}, {\"cell\": \"3 (4.5%)\", \"bbox\": [188, 100, 217, 110]}, {\"cell\": \"4 (6.1%)\", \"bbox\": [251, 100, 280, 110]}, {\"cell\": \"6 (9.1%)\", \"bbox\": [313, 100, 342, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 100, 415, 110]}, {\"cell\": \"2 (3.0%)\", \"bbox\": [466, 100, 496, 110]}, {\"cell\": \"Local/Regional\", \"bbox\": [4, 110, 55, 120]}, {\"cell\": \"2 (3.0%)\", \"bbox\": [108, 110, 137, 120]}, {\"cell\": \"7 (10.6%)\", \"bbox\": [186, 110, 220, 120]}, {\"cell\": \"1 (1.5%)\", \"bbox\": [251, 110, 280, 120]}, {\"cell\": \"17 (25.8%)\", \"bbox\": [309, 110, 346, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 110, 428, 120]}, {\"cell\": \"1 (1.5%)\", \"bbox\": [466, 110, 496, 120]}, {\"cell\": \"<b>Totals</b>\", \"bbox\": [4, 133, 31, 142]}, {\"cell\": \"<b>6 (9.1%)</b>\", \"bbox\": [106, 133, 139, 142]}, {\"cell\": \"<b>16 (24.2%)</b>\", \"bbox\": [182, 133, 224, 142]}, {\"cell\": \"<b>5 (7.6%)</b>\", \"bbox\": [250, 133, 282, 142]}, {\"cell\": \"<b>32 (48.5%)</b>\", \"bbox\": [307, 133, 349, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 133, 429, 142]}, {\"cell\": \"<b>5 (7.6%)</b>\", \"bbox\": [465, 133, 497, 142]}, {\"cell\": \"<b>UK Participants</b>\", \"bbox\": [219, 155, 283, 164]}, {\"cell\": \"European or National\", \"bbox\": [4, 177, 48, 196]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [108, 177, 137, 187]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [188, 177, 218, 187]}, {\"cell\": \"-\", \"bbox\": [263, 177, 268, 187]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [313, 177, 342, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 177, 415, 187]}, {\"cell\": \"-\", \"bbox\": [479, 177, 483, 187]}, {\"cell\": \"Regional\", \"bbox\": [4, 197, 35, 206]}, {\"cell\": \"2 (7.1%)\", \"bbox\": [108, 197, 137, 206]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [188, 197, 217, 206]}, {\"cell\": \"2 (7.1%)\", \"bbox\": [251, 197, 280, 206]}, {\"cell\": \"12 (42.9%)\", \"bbox\": [309, 197, 346, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 197, 415, 206]}, {\"cell\": \"-\", \"bbox\": [479, 197, 484, 206]}, {\"cell\": \"Local\", \"bbox\": [4, 207, 24, 216]}, {\"cell\": \"2 (7.1%)\", \"bbox\": [108, 207, 137, 216]}, {\"cell\": \"-\", \"bbox\": [200, 207, 205, 216]}, {\"cell\": \"-\", \"bbox\": [263, 207, 268, 216]}, {\"cell\": \"4 (14.3%)\", \"bbox\": [311, 207, 344, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [411, 207, 415, 216]}, {\"cell\": \"1 (3.6%)\", \"bbox\": [466, 207, 496, 216]}, {\"cell\": \"<b>Totals</b>\", \"bbox\": [4, 229, 31, 239]}, {\"cell\": \"<b>5 (17.9%)</b>\", \"bbox\": [104, 229, 141, 239]}, {\"cell\": \"<b>2 (7.1%)</b>\", \"bbox\": [187, 229, 219, 239]}, {\"cell\": \"<b>2 (7.1%)</b>\", \"bbox\": [250, 229, 282, 239]}, {\"cell\": \"<b>17 (60.7%)</b>\", \"bbox\": [307, 229, 348, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 229, 429, 239]}, {\"cell\": \"<b>1 (3.6%)</b>\", \"bbox\": [465, 229, 497, 239]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2396622_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}767{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Groups</b></td><td><b>SHi</b></td><td><b>SHf</b></td><td><b>% Hardness Loss</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>329.92 (±35.81)</td><td>253.90 (±45.15)</td><td>23.24 (±8.436)<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>337.58 (±28.41)</td><td>310.80 (±34.58)</td><td>7.89 (±7.5)<sup>b</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>334.16 (±26.88)</td><td>250.92 (±37.49)</td><td>24.65 (±11.50)<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>336.24 (±30.50)</td><td>240.26 (±48.45)</td><td>28.47 (±13.37)<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>341.19 (±31.87)</td><td>241.90 (±37.23)</td><td>28.74 (±11.53)<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>337.85 (±29.91)</td><td>248.89 (±43.01)</td><td>26.56 (±9.51)<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>335.76 (±26.05)</td><td>259.23 (±50.07)</td><td>22.92 (±12.94)<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>338.51 (±27.63)</td><td>265.02 (±55.67)</td><td>21.78 (±14.83)<sup>ab</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>337.27(±32.29)</td><td>252.81 (±57.71)</td><td>25.35 (±12.76)<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>337.36 (±29.49)</td><td>249.86 (±46.95)</td><td>25.91(±12.51)<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>335.45 (±29.71)</td><td>240.90 (±38.02)</td><td>28.09 (±9.95)<sup>a</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>337.19 (±28.92)</td><td>256.44 (±22.04)</td><td>23.74 (±6.15)<sup>a</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Groups</b>\", \"bbox\": [47, 5, 77, 14]}, {\"cell\": \"<b>SHi</b>\", \"bbox\": [175, 5, 190, 14]}, {\"cell\": \"<b>SHf</b>\", \"bbox\": [295, 5, 311, 14]}, {\"cell\": \"<b>% Hardness Loss</b>\", \"bbox\": [389, 5, 457, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [28, 17, 96, 29]}, {\"cell\": \"329.92 (±35.81)\", \"bbox\": [153, 19, 211, 29]}, {\"cell\": \"253.90 (±45.15)\", \"bbox\": [273, 19, 332, 29]}, {\"cell\": \"23.24 (±8.436)<sup>a</sup>\", \"bbox\": [395, 19, 451, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 31, 103, 44]}, {\"cell\": \"337.58 (±28.41)\", \"bbox\": [153, 33, 211, 43]}, {\"cell\": \"310.80 (±34.58)\", \"bbox\": [273, 33, 332, 43]}, {\"cell\": \"7.89 (±7.5)<sup>b</sup>\", \"bbox\": [402, 33, 445, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [22, 46, 101, 58]}, {\"cell\": \"334.16 (±26.88)\", \"bbox\": [153, 48, 211, 57]}, {\"cell\": \"250.92 (±37.49)\", \"bbox\": [273, 48, 332, 57]}, {\"cell\": \"24.65 (±11.50)<sup>a</sup>\", \"bbox\": [395, 48, 451, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 60, 108, 72]}, {\"cell\": \"336.24 (±30.50)\", \"bbox\": [153, 62, 211, 72]}, {\"cell\": \"240.26 (±48.45)\", \"bbox\": [273, 62, 332, 72]}, {\"cell\": \"28.47 (±13.37)<sup>a</sup>\", \"bbox\": [395, 62, 451, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 74, 105, 87]}, {\"cell\": \"341.19 (±31.87)\", \"bbox\": [153, 76, 211, 86]}, {\"cell\": \"241.90 (±37.23)\", \"bbox\": [273, 76, 332, 86]}, {\"cell\": \"28.74 (±11.53)<sup>a</sup>\", \"bbox\": [395, 76, 451, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 89, 112, 101]}, {\"cell\": \"337.85 (±29.91)\", \"bbox\": [153, 91, 211, 100]}, {\"cell\": \"248.89 (±43.01)\", \"bbox\": [273, 91, 332, 100]}, {\"cell\": \"26.56 (±9.51)<sup>a</sup>\", \"bbox\": [397, 91, 449, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 103, 107, 115]}, {\"cell\": \"335.76 (±26.05)\", \"bbox\": [153, 105, 211, 115]}, {\"cell\": \"259.23 (±50.07)\", \"bbox\": [273, 105, 332, 115]}, {\"cell\": \"22.92 (±12.94)<sup>a</sup>\", \"bbox\": [395, 105, 451, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 117, 113, 130]}, {\"cell\": \"338.51 (±27.63)\", \"bbox\": [153, 119, 211, 129]}, {\"cell\": \"265.02 (±55.67)\", \"bbox\": [273, 119, 332, 129]}, {\"cell\": \"21.78 (±14.83)<sup>ab</sup>\", \"bbox\": [394, 119, 453, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [28, 131, 96, 144]}, {\"cell\": \"337.27(±32.29)\", \"bbox\": [154, 134, 210, 143]}, {\"cell\": \"252.81 (±57.71)\", \"bbox\": [273, 134, 332, 143]}, {\"cell\": \"25.35 (±12.76)<sup>a</sup>\", \"bbox\": [395, 134, 451, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 146, 103, 158]}, {\"cell\": \"337.36 (±29.49)\", \"bbox\": [153, 148, 211, 158]}, {\"cell\": \"249.86 (±46.95)\", \"bbox\": [273, 148, 332, 158]}, {\"cell\": \"25.91(±12.51)<sup>a</sup>\", \"bbox\": [396, 148, 450, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 160, 106, 181]}, {\"cell\": \"335.45 (±29.71)\", \"bbox\": [153, 162, 211, 172]}, {\"cell\": \"240.90 (±38.02)\", \"bbox\": [273, 162, 332, 172]}, {\"cell\": \"28.09 (±9.95)<sup>a</sup>\", \"bbox\": [397, 162, 449, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 184, 112, 205]}, {\"cell\": \"337.19 (±28.92)\", \"bbox\": [153, 186, 211, 196]}, {\"cell\": \"256.44 (±22.04)\", \"bbox\": [273, 186, 332, 196]}, {\"cell\": \"23.74 (±6.15)<sup>a</sup>\", \"bbox\": [397, 186, 449, 196]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5595115_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}768{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Adverse event (SOC and PT)</b></td><td colspan=\\\"2\\\"><b>Nintedanib, 200 mg bid (<i>n</i> = 62)</b></td><td colspan=\\\"2\\\"><b>Sorafenib, 400 mg bid (<i>n</i> = 31)</b></td></tr><tr><td><b>All grades, <i>n</i> (%)</b></td><td><b>Grade ≥3, <i>n</i> (%)</b></td><td><b>All grades, <i>n</i> (%)</b></td><td><b>Grade ≥3, <i>n</i> (%)</b></td></tr></thead><tbody><tr><td>Patients with any adverse event</td><td>62 (100)</td><td>42 (67.7)</td><td>31 (100)</td><td>[EMPTY_CELL]</td></tr><tr><td>Blood and lymphatic system disorders</td><td>10 (16.1)</td><td>5 (8.1)</td><td>8 (25.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Anaemia</td><td>6 (9.7)</td><td>4 (6.5)</td><td>1 (3.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Thrombocytopenia</td><td>2 (3.2)</td><td>1 (1.6)</td><td>4 (12.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gastrointestinal disorders</td><td>60 (96.8)</td><td>16 (25.8)</td><td>29 (93.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>Diarrhoea</td><td>44 (71.0)</td><td>8 (12.9)</td><td>21 (67.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Nausea</td><td>30 (48.4)</td><td>1 (1.6)</td><td>9 (29.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Vomiting</td><td>24 (38.7)</td><td>2 (3.2)</td><td>9 (29.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Abdominal pain</td><td>16 (25.8)</td><td>0 (0.0)</td><td>9 (29.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Abdominal pain upper</td><td>16 (25.8)</td><td>0 (0.0)</td><td>4 (12.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>General disorders and administration site conditions</td><td>44 (71.0)</td><td>11 (17.7)</td><td>21 (67.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Fatigue</td><td>35 (56.5)</td><td>7 (11.3)</td><td>10 (32.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Investigations</td><td>24 (38.7)</td><td>14 (22.6)</td><td>17 (54.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>AST increased</td><td>11 (17.7)</td><td>7 (11.3)</td><td>5 (16.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>ALT increased</td><td>8 (12.9)</td><td>5 (8.1)</td><td>3 (9.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Metabolism and nutrition disorders</td><td>26 (41.9)</td><td>4 (6.5)</td><td>18 (58.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Decreased appetite</td><td>23 (37.1)</td><td>1 (1.6)</td><td>13 (41.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Neoplasms benign, malignant and unspecified (including cysts and polyps)</td><td>6 (9.7)</td><td>4 (6.5)</td><td>4 (12.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Malignant neoplasm progression</td><td>2 (3.2)</td><td>2 (3.2)</td><td>3 (9.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Nervous system disorders</td><td>20 (32.3)</td><td>7 (11.3)</td><td>16 (51.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>Hepatic encephalopathy</td><td>5 (8.1)</td><td>5 (8.1)</td><td>2 (6.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>Lethargy</td><td>5 (8.1)</td><td>0 (0.0)</td><td>8 (25.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Skin and subcutaneous tissue disorders</td><td>27 (43.5)</td><td>2 (3.2)</td><td>25 (80.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>Rash</td><td>6 (9.7)</td><td>0 (0.0)</td><td>7 (22.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>Alopecia</td><td>3 (4.8)</td><td>0 (0.0)</td><td>11 (35.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>Palmar–plantar erythrodysesthesia syndrome</td><td>1 (1.6)</td><td>0 (0.0)</td><td>11 (35.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>Skin reaction</td><td>1 (1.6)</td><td>1 (1.6)</td><td>3 (9.7)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Adverse event (SOC and PT)</b>\", \"bbox\": [1, 7, 52, 25]}, {\"cell\": \"<b>Nintedanib, 200 mg bid (<i>n</i> = 62)</b>\", \"bbox\": [103, 7, 173, 34]}, {\"cell\": \"<b>Sorafenib, 400 mg bid (<i>n</i> = 31)</b>\", \"bbox\": [178, 7, 242, 25]}, {\"cell\": \"<b>All grades, <i>n</i> (%)</b>\", \"bbox\": [103, 40, 130, 68]}, {\"cell\": \"<b>Grade ≥3, <i>n</i> (%)</b>\", \"bbox\": [138, 40, 174, 59]}, {\"cell\": \"<b>All grades, <i>n</i> (%)</b>\", \"bbox\": [178, 40, 205, 68]}, {\"cell\": \"<b>Grade ≥3, <i>n</i> (%)</b>\", \"bbox\": [213, 40, 245, 59]}, {\"cell\": \"Patients with any adverse event\", \"bbox\": [1, 76, 91, 94]}, {\"cell\": \"62 (100)\", \"bbox\": [103, 76, 133, 85]}, {\"cell\": \"42 (67.7)\", \"bbox\": [138, 76, 170, 85]}, {\"cell\": \"31 (100)\", \"bbox\": [178, 76, 208, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 76, 245, 85]}, {\"cell\": \"Blood and lymphatic system disorders\", \"bbox\": [1, 97, 99, 115]}, {\"cell\": \"10 (16.1)\", \"bbox\": [103, 97, 134, 106]}, {\"cell\": \"5 (8.1)\", \"bbox\": [138, 97, 162, 106]}, {\"cell\": \"8 (25.8)\", \"bbox\": [178, 97, 205, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 97, 240, 106]}, {\"cell\": \"Anaemia\", \"bbox\": [1, 117, 33, 127]}, {\"cell\": \"6 (9.7)\", \"bbox\": [103, 117, 126, 127]}, {\"cell\": \"4 (6.5)\", \"bbox\": [138, 117, 162, 127]}, {\"cell\": \"1 (3.2)\", \"bbox\": [178, 117, 201, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 117, 236, 127]}, {\"cell\": \"Thrombocytopenia\", \"bbox\": [1, 129, 68, 139]}, {\"cell\": \"2 (3.2)\", \"bbox\": [103, 129, 126, 139]}, {\"cell\": \"1 (1.6)\", \"bbox\": [138, 129, 162, 139]}, {\"cell\": \"4 (12.9)\", \"bbox\": [178, 129, 205, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 129, 236, 139]}, {\"cell\": \"Gastrointestinal disorders\", \"bbox\": [1, 141, 90, 151]}, {\"cell\": \"60 (96.8)\", \"bbox\": [103, 141, 134, 151]}, {\"cell\": \"16 (25.8)\", \"bbox\": [138, 141, 170, 151]}, {\"cell\": \"29 (93.5)\", \"bbox\": [178, 141, 209, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 141, 236, 151]}, {\"cell\": \"Diarrhoea\", \"bbox\": [1, 153, 36, 163]}, {\"cell\": \"44 (71.0)\", \"bbox\": [103, 153, 134, 163]}, {\"cell\": \"8 (12.9)\", \"bbox\": [138, 153, 166, 163]}, {\"cell\": \"21 (67.7)\", \"bbox\": [178, 153, 209, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 153, 236, 163]}, {\"cell\": \"Nausea\", \"bbox\": [1, 165, 27, 175]}, {\"cell\": \"30 (48.4)\", \"bbox\": [103, 165, 134, 175]}, {\"cell\": \"1 (1.6)\", \"bbox\": [138, 165, 162, 175]}, {\"cell\": \"9 (29.0)\", \"bbox\": [178, 165, 205, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 165, 236, 175]}, {\"cell\": \"Vomiting\", \"bbox\": [1, 177, 34, 187]}, {\"cell\": \"24 (38.7)\", \"bbox\": [103, 177, 134, 187]}, {\"cell\": \"2 (3.2)\", \"bbox\": [138, 177, 162, 187]}, {\"cell\": \"9 (29.0)\", \"bbox\": [178, 177, 205, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 177, 236, 187]}, {\"cell\": \"Abdominal pain\", \"bbox\": [1, 189, 58, 199]}, {\"cell\": \"16 (25.8)\", \"bbox\": [103, 189, 134, 199]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 189, 162, 199]}, {\"cell\": \"9 (29.0)\", \"bbox\": [178, 189, 205, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 189, 236, 199]}, {\"cell\": \"Abdominal pain upper\", \"bbox\": [1, 201, 81, 211]}, {\"cell\": \"16 (25.8)\", \"bbox\": [103, 201, 134, 211]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 201, 162, 211]}, {\"cell\": \"4 (12.9)\", \"bbox\": [178, 201, 205, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 201, 236, 211]}, {\"cell\": \"General disorders and administration site conditions\", \"bbox\": [1, 213, 79, 241]}, {\"cell\": \"44 (71.0)\", \"bbox\": [103, 213, 134, 223]}, {\"cell\": \"11 (17.7)\", \"bbox\": [138, 213, 170, 223]}, {\"cell\": \"21 (67.7)\", \"bbox\": [178, 213, 209, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 213, 240, 223]}, {\"cell\": \"Fatigue\", \"bbox\": [1, 243, 28, 252]}, {\"cell\": \"35 (56.5)\", \"bbox\": [103, 243, 134, 252]}, {\"cell\": \"7 (11.3)\", \"bbox\": [138, 243, 166, 252]}, {\"cell\": \"10 (32.3)\", \"bbox\": [178, 243, 209, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 243, 236, 252]}, {\"cell\": \"Investigations\", \"bbox\": [1, 255, 50, 264]}, {\"cell\": \"24 (38.7)\", \"bbox\": [103, 255, 134, 264]}, {\"cell\": \"14 (22.6)\", \"bbox\": [138, 255, 170, 264]}, {\"cell\": \"17 (54.8)\", \"bbox\": [178, 255, 209, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 255, 245, 264]}, {\"cell\": \"AST increased\", \"bbox\": [1, 267, 51, 276]}, {\"cell\": \"11 (17.7)\", \"bbox\": [103, 267, 134, 276]}, {\"cell\": \"7 (11.3)\", \"bbox\": [138, 267, 166, 276]}, {\"cell\": \"5 (16.1)\", \"bbox\": [178, 267, 205, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 267, 236, 276]}, {\"cell\": \"ALT increased\", \"bbox\": [1, 279, 50, 288]}, {\"cell\": \"8 (12.9)\", \"bbox\": [103, 279, 131, 288]}, {\"cell\": \"5 (8.1)\", \"bbox\": [138, 279, 162, 288]}, {\"cell\": \"3 (9.7)\", \"bbox\": [178, 279, 201, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 279, 236, 288]}, {\"cell\": \"Metabolism and nutrition disorders\", \"bbox\": [1, 291, 91, 309]}, {\"cell\": \"26 (41.9)\", \"bbox\": [103, 291, 134, 300]}, {\"cell\": \"4 (6.5)\", \"bbox\": [138, 291, 162, 300]}, {\"cell\": \"18 (58.1)\", \"bbox\": [178, 291, 209, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 291, 240, 300]}, {\"cell\": \"Decreased appetite\", \"bbox\": [1, 312, 69, 321]}, {\"cell\": \"23 (37.1)\", \"bbox\": [103, 312, 134, 321]}, {\"cell\": \"1 (1.6)\", \"bbox\": [138, 312, 162, 321]}, {\"cell\": \"13 (41.9)\", \"bbox\": [178, 312, 209, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 312, 236, 321]}, {\"cell\": \"Neoplasms benign, malignant and unspecified (including cysts and polyps)\", \"bbox\": [1, 324, 99, 351]}, {\"cell\": \"6 (9.7)\", \"bbox\": [103, 324, 126, 333]}, {\"cell\": \"4 (6.5)\", \"bbox\": [138, 324, 162, 333]}, {\"cell\": \"4 (12.9)\", \"bbox\": [178, 324, 205, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 324, 236, 333]}, {\"cell\": \"Malignant neoplasm progression\", \"bbox\": [1, 353, 73, 372]}, {\"cell\": \"2 (3.2)\", \"bbox\": [103, 353, 126, 363]}, {\"cell\": \"2 (3.2)\", \"bbox\": [138, 353, 162, 363]}, {\"cell\": \"3 (9.7)\", \"bbox\": [178, 353, 201, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 353, 236, 363]}, {\"cell\": \"Nervous system disorders\", \"bbox\": [1, 374, 91, 384]}, {\"cell\": \"20 (32.3)\", \"bbox\": [103, 374, 134, 384]}, {\"cell\": \"7 (11.3)\", \"bbox\": [138, 374, 166, 384]}, {\"cell\": \"16 (51.6)\", \"bbox\": [178, 374, 209, 384]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 374, 236, 384]}, {\"cell\": \"Hepatic encephalopathy\", \"bbox\": [1, 386, 87, 396]}, {\"cell\": \"5 (8.1)\", \"bbox\": [103, 386, 126, 396]}, {\"cell\": \"5 (8.1)\", \"bbox\": [138, 386, 162, 396]}, {\"cell\": \"2 (6.5)\", \"bbox\": [178, 386, 201, 396]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 386, 236, 396]}, {\"cell\": \"Lethargy\", \"bbox\": [1, 398, 32, 408]}, {\"cell\": \"5 (8.1)\", \"bbox\": [103, 398, 126, 408]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 398, 162, 408]}, {\"cell\": \"8 (25.8)\", \"bbox\": [178, 398, 205, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 398, 236, 408]}, {\"cell\": \"Skin and subcutaneous tissue disorders\", \"bbox\": [1, 410, 83, 429]}, {\"cell\": \"27 (43.5)\", \"bbox\": [103, 410, 134, 420]}, {\"cell\": \"2 (3.2)\", \"bbox\": [138, 410, 162, 420]}, {\"cell\": \"25 (80.6)\", \"bbox\": [178, 410, 209, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 410, 245, 420]}, {\"cell\": \"Rash\", \"bbox\": [1, 431, 19, 441]}, {\"cell\": \"6 (9.7)\", \"bbox\": [103, 431, 126, 441]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 431, 162, 441]}, {\"cell\": \"7 (22.6)\", \"bbox\": [178, 431, 205, 441]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 431, 236, 441]}, {\"cell\": \"Alopecia\", \"bbox\": [1, 443, 32, 453]}, {\"cell\": \"3 (4.8)\", \"bbox\": [103, 443, 126, 453]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 443, 162, 453]}, {\"cell\": \"11 (35.5)\", \"bbox\": [178, 443, 209, 453]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 443, 236, 453]}, {\"cell\": \"Palmar–plantar erythrodysesthesia syndrome\", \"bbox\": [1, 455, 67, 483]}, {\"cell\": \"1 (1.6)\", \"bbox\": [103, 455, 126, 465]}, {\"cell\": \"0 (0.0)\", \"bbox\": [138, 455, 162, 465]}, {\"cell\": \"11 (35.5)\", \"bbox\": [178, 455, 209, 465]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 455, 240, 465]}, {\"cell\": \"Skin reaction\", \"bbox\": [1, 485, 48, 495]}, {\"cell\": \"1 (1.6)\", \"bbox\": [103, 485, 126, 495]}, {\"cell\": \"1 (1.6)\", \"bbox\": [138, 485, 162, 495]}, {\"cell\": \"3 (9.7)\", \"bbox\": [178, 485, 201, 495]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 485, 234, 495]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5943284_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}769{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Weight gain (g/kg/day)</b></td><td rowspan=\\\"2\\\"><b>% of total</b></td><td colspan=\\\"2\\\"><b>6-12 months</b></td><td colspan=\\\"2\\\"><b>13-24 months</b></td><td colspan=\\\"2\\\"><b>25-36 months</b></td><td colspan=\\\"2\\\"><b>37-60 months</b></td></tr><tr><td><b>Boys (n=14)</b></td><td><b>Girls (n=26)</b></td><td><b>Boys (n=18)</b></td><td><b>Girls (n=26)</b></td><td><b>Boys (n=13)</b></td><td><b>Girls (n=08)</b></td><td><b>Boys (n=10)</b></td><td><b>Girls (n=7)</b></td></tr></thead><tbody><tr><td>No change in weight</td><td>3.7</td><td>7.1</td><td>0</td><td>5.6</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>10.0</td><td>0</td></tr><tr><td>Weight loss</td><td>19.8</td><td>7.1</td><td>26.9</td><td>5.6</td><td>[EMPTY_CELL]</td><td>23.1</td><td>37.5</td><td>40.0</td><td>14.3</td></tr><tr><td>Poor (<5)</td><td>14.7</td><td>14.3</td><td>0</td><td>16.7</td><td>[EMPTY_CELL]</td><td>7.7</td><td>0</td><td>30.0</td><td>42.9</td></tr><tr><td>Moderate (5-10)</td><td>30.9</td><td>50.0</td><td>26.9</td><td>44.4</td><td>[EMPTY_CELL]</td><td>23.1</td><td>25.0</td><td>0</td><td>28.6</td></tr><tr><td>Good (>10)</td><td>30.9</td><td>21.4</td><td>46.2</td><td>27.8</td><td>[EMPTY_CELL]</td><td>46.2</td><td>37.5</td><td>20.0</td><td>14.3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Weight gain (g/kg/day)</b>\", \"bbox\": [6, 14, 59, 37]}, {\"cell\": \"<b>% of total</b>\", \"bbox\": [106, 14, 128, 37]}, {\"cell\": \"<b>6-12 months</b>\", \"bbox\": [146, 5, 202, 17]}, {\"cell\": \"<b>13-24 months</b>\", \"bbox\": [222, 5, 284, 17]}, {\"cell\": \"<b>25-36 months</b>\", \"bbox\": [296, 5, 357, 17]}, {\"cell\": \"<b>37-60 months</b>\", \"bbox\": [373, 5, 434, 17]}, {\"cell\": \"<b>Boys (n=14)</b>\", \"bbox\": [141, 22, 169, 46]}, {\"cell\": \"<b>Girls (n=26)</b>\", \"bbox\": [179, 22, 208, 46]}, {\"cell\": \"<b>Boys (n=18)</b>\", \"bbox\": [217, 22, 246, 46]}, {\"cell\": \"<b>Girls (n=26)</b>\", \"bbox\": [255, 22, 284, 46]}, {\"cell\": \"<b>Boys (n=13)</b>\", \"bbox\": [293, 22, 322, 46]}, {\"cell\": \"<b>Girls (n=08)</b>\", \"bbox\": [332, 22, 360, 46]}, {\"cell\": \"<b>Boys (n=10)</b>\", \"bbox\": [370, 22, 398, 46]}, {\"cell\": \"<b>Girls (n=7)</b>\", \"bbox\": [410, 22, 434, 46]}, {\"cell\": \"No change in weight\", \"bbox\": [6, 51, 91, 63]}, {\"cell\": \"3.7\", \"bbox\": [107, 51, 122, 63]}, {\"cell\": \"7.1\", \"bbox\": [145, 51, 160, 63]}, {\"cell\": \"0\", \"bbox\": [187, 51, 194, 63]}, {\"cell\": \"5.6\", \"bbox\": [222, 51, 237, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [263, 51, 270, 63]}, {\"cell\": \"0\", \"bbox\": [301, 51, 309, 63]}, {\"cell\": \"0\", \"bbox\": [339, 51, 347, 63]}, {\"cell\": \"10.0\", \"bbox\": [371, 51, 391, 63]}, {\"cell\": \"0\", \"bbox\": [416, 51, 423, 63]}, {\"cell\": \"Weight loss\", \"bbox\": [6, 69, 56, 80]}, {\"cell\": \"19.8\", \"bbox\": [104, 69, 124, 80]}, {\"cell\": \"7.1\", \"bbox\": [145, 69, 160, 80]}, {\"cell\": \"26.9\", \"bbox\": [180, 69, 201, 80]}, {\"cell\": \"5.6\", \"bbox\": [222, 69, 237, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [259, 69, 274, 80]}, {\"cell\": \"23.1\", \"bbox\": [295, 69, 315, 80]}, {\"cell\": \"37.5\", \"bbox\": [333, 69, 353, 80]}, {\"cell\": \"40.0\", \"bbox\": [371, 69, 391, 80]}, {\"cell\": \"14.3\", \"bbox\": [409, 69, 429, 80]}, {\"cell\": \"Poor (<5)\", \"bbox\": [6, 86, 46, 98]}, {\"cell\": \"14.7\", \"bbox\": [104, 86, 124, 98]}, {\"cell\": \"14.3\", \"bbox\": [142, 86, 162, 98]}, {\"cell\": \"0\", \"bbox\": [187, 86, 194, 98]}, {\"cell\": \"16.7\", \"bbox\": [219, 86, 239, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 86, 277, 98]}, {\"cell\": \"7.7\", \"bbox\": [297, 86, 312, 98]}, {\"cell\": \"0\", \"bbox\": [339, 86, 347, 98]}, {\"cell\": \"30.0\", \"bbox\": [371, 86, 391, 98]}, {\"cell\": \"42.9\", \"bbox\": [409, 86, 429, 98]}, {\"cell\": \"Moderate (5-10)\", \"bbox\": [6, 104, 75, 115]}, {\"cell\": \"30.9\", \"bbox\": [104, 104, 124, 115]}, {\"cell\": \"50.0\", \"bbox\": [142, 104, 162, 115]}, {\"cell\": \"26.9\", \"bbox\": [180, 104, 201, 115]}, {\"cell\": \"44.4\", \"bbox\": [219, 104, 239, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 104, 277, 115]}, {\"cell\": \"23.1\", \"bbox\": [295, 104, 315, 115]}, {\"cell\": \"25.0\", \"bbox\": [333, 104, 353, 115]}, {\"cell\": \"0\", \"bbox\": [377, 104, 385, 115]}, {\"cell\": \"28.6\", \"bbox\": [409, 104, 429, 115]}, {\"cell\": \"Good (>10)\", \"bbox\": [6, 121, 58, 133]}, {\"cell\": \"30.9\", \"bbox\": [104, 121, 124, 133]}, {\"cell\": \"21.4\", \"bbox\": [142, 121, 162, 133]}, {\"cell\": \"46.2\", \"bbox\": [180, 121, 201, 133]}, {\"cell\": \"27.8\", \"bbox\": [219, 121, 239, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 121, 277, 133]}, {\"cell\": \"46.2\", \"bbox\": [295, 121, 315, 133]}, {\"cell\": \"37.5\", \"bbox\": [333, 121, 353, 133]}, {\"cell\": \"20.0\", \"bbox\": [371, 121, 391, 133]}, {\"cell\": \"14.3\", \"bbox\": [409, 121, 429, 133]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2761803_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}770{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Target gene polymorphism(rs number)</b></td><td><b>Genotype</b></td><td><b>No. patients</b></td><td><b>(%)</b></td><td><b>Allele frequencies</b></td><td>[EMPTY_CELL]</td><td><b>Hardy-Weinberg equilibrium</b></td></tr></thead><tbody><tr><td><b><i>SLC2A1</i> -2841A>T</b></td><td>AA</td><td>78</td><td>(51.7%)</td><td>[EMPTY_CELL]</td><td>0.705:0.295</td><td>0.2579</td></tr><tr><td><b>(rs710218)</b></td><td>AT</td><td>57</td><td>(37.7%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>TT</td><td>16</td><td>(10.6%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>VEGFA</i> +936C>T</b></td><td>CC</td><td>102</td><td>(67.1%)</td><td>[EMPTY_CELL]</td><td>0.819:0.181</td><td>0.2579</td></tr><tr><td><b>(rs3025039)</b></td><td>CT</td><td>45</td><td>(29.6%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>TT</td><td>5</td><td>(3.3%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>APEX1 </i>Asp148Glu</b></td><td>TT</td><td>55</td><td>(36.4%)</td><td>[EMPTY_CELL]</td><td>0.589:0.411</td><td>0.3929</td></tr><tr><td><b>(rs1130409)</b></td><td>TG</td><td>68</td><td>(45.0%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>GG</td><td>28</td><td>(18.5%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>HIF1A </i>Pro582Ser</b></td><td>CC</td><td>139</td><td>(90.8%)</td><td>[EMPTY_CELL]</td><td>0.954:0.046</td><td>0.5541</td></tr><tr><td><b>(rs11549465)</b></td><td>CT</td><td>14</td><td>(9.2%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>TT</td><td>0</td><td>(0.0%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b><i>HIF1A </i>Ala588Thr</b></td><td>GG</td><td>137</td><td>(90.1%)</td><td>[EMPTY_CELL]</td><td>0.951:0.049</td><td>0.5219</td></tr><tr><td><b>(rs11549467)</b></td><td>GA</td><td>15</td><td>(9.9%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>AA</td><td>0</td><td>(0.0%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Target gene polymorphism(rs number)</b>\", \"bbox\": [5, 3, 103, 23]}, {\"cell\": \"<b>Genotype</b>\", \"bbox\": [131, 3, 168, 13]}, {\"cell\": \"<b>No. patients</b>\", \"bbox\": [180, 3, 225, 13]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [241, 3, 255, 13]}, {\"cell\": \"<b>Allele frequencies</b>\", \"bbox\": [278, 3, 344, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Hardy-Weinberg equilibrium</b>\", \"bbox\": [409, 3, 470, 23]}, {\"cell\": \"<b><i>SLC2A1</i> -2841A>T</b>\", \"bbox\": [5, 39, 69, 49]}, {\"cell\": \"AA\", \"bbox\": [131, 39, 143, 48]}, {\"cell\": \"78\", \"bbox\": [180, 39, 190, 48]}, {\"cell\": \"(51.7%)\", \"bbox\": [241, 39, 267, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 39, 290, 48]}, {\"cell\": \"0.705:0.295\", \"bbox\": [353, 39, 393, 48]}, {\"cell\": \"0.2579\", \"bbox\": [409, 39, 433, 48]}, {\"cell\": \"<b>(rs710218)</b>\", \"bbox\": [5, 53, 45, 63]}, {\"cell\": \"AT\", \"bbox\": [131, 53, 142, 62]}, {\"cell\": \"57\", \"bbox\": [180, 53, 190, 62]}, {\"cell\": \"(37.7%)\", \"bbox\": [241, 53, 267, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [131, 67, 141, 76]}, {\"cell\": \"16\", \"bbox\": [180, 67, 190, 76]}, {\"cell\": \"(10.6%)\", \"bbox\": [241, 67, 267, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>VEGFA</i> +936C>T</b>\", \"bbox\": [5, 81, 64, 91]}, {\"cell\": \"CC\", \"bbox\": [131, 81, 142, 90]}, {\"cell\": \"102\", \"bbox\": [180, 81, 194, 90]}, {\"cell\": \"(67.1%)\", \"bbox\": [241, 81, 267, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 81, 290, 90]}, {\"cell\": \"0.819:0.181\", \"bbox\": [353, 81, 393, 90]}, {\"cell\": \"0.2579\", \"bbox\": [409, 81, 433, 90]}, {\"cell\": \"<b>(rs3025039)</b>\", \"bbox\": [5, 95, 49, 105]}, {\"cell\": \"CT\", \"bbox\": [131, 95, 142, 104]}, {\"cell\": \"45\", \"bbox\": [180, 95, 190, 104]}, {\"cell\": \"(29.6%)\", \"bbox\": [241, 95, 267, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [131, 109, 141, 118]}, {\"cell\": \"5\", \"bbox\": [180, 109, 186, 118]}, {\"cell\": \"(3.3%)\", \"bbox\": [241, 109, 263, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>APEX1 </i>Asp148Glu</b>\", \"bbox\": [5, 123, 70, 133]}, {\"cell\": \"TT\", \"bbox\": [131, 123, 141, 132]}, {\"cell\": \"55\", \"bbox\": [180, 123, 190, 132]}, {\"cell\": \"(36.4%)\", \"bbox\": [241, 123, 267, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 123, 291, 132]}, {\"cell\": \"0.589:0.411\", \"bbox\": [353, 123, 393, 132]}, {\"cell\": \"0.3929\", \"bbox\": [409, 123, 433, 132]}, {\"cell\": \"<b>(rs1130409)</b>\", \"bbox\": [5, 137, 49, 147]}, {\"cell\": \"TG\", \"bbox\": [131, 137, 142, 146]}, {\"cell\": \"68\", \"bbox\": [180, 137, 190, 146]}, {\"cell\": \"(45.0%)\", \"bbox\": [241, 137, 267, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [131, 151, 143, 160]}, {\"cell\": \"28\", \"bbox\": [180, 151, 190, 160]}, {\"cell\": \"(18.5%)\", \"bbox\": [241, 151, 267, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>HIF1A </i>Pro582Ser</b>\", \"bbox\": [5, 165, 66, 175]}, {\"cell\": \"CC\", \"bbox\": [131, 165, 142, 174]}, {\"cell\": \"139\", \"bbox\": [180, 165, 194, 174]}, {\"cell\": \"(90.8%)\", \"bbox\": [241, 165, 267, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 165, 290, 174]}, {\"cell\": \"0.954:0.046\", \"bbox\": [353, 165, 393, 174]}, {\"cell\": \"0.5541\", \"bbox\": [409, 165, 433, 174]}, {\"cell\": \"<b>(rs11549465)</b>\", \"bbox\": [5, 179, 54, 189]}, {\"cell\": \"CT\", \"bbox\": [131, 179, 142, 188]}, {\"cell\": \"14\", \"bbox\": [180, 179, 190, 188]}, {\"cell\": \"(9.2%)\", \"bbox\": [241, 179, 263, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT\", \"bbox\": [131, 193, 141, 202]}, {\"cell\": \"0\", \"bbox\": [180, 193, 186, 202]}, {\"cell\": \"(0.0%)\", \"bbox\": [241, 193, 263, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>HIF1A </i>Ala588Thr</b>\", \"bbox\": [5, 207, 66, 217]}, {\"cell\": \"GG\", \"bbox\": [131, 207, 143, 216]}, {\"cell\": \"137\", \"bbox\": [180, 207, 194, 216]}, {\"cell\": \"(90.1%)\", \"bbox\": [241, 207, 267, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 207, 292, 216]}, {\"cell\": \"0.951:0.049\", \"bbox\": [353, 207, 393, 216]}, {\"cell\": \"0.5219\", \"bbox\": [409, 207, 433, 216]}, {\"cell\": \"<b>(rs11549467)</b>\", \"bbox\": [5, 221, 54, 231]}, {\"cell\": \"GA\", \"bbox\": [131, 221, 143, 230]}, {\"cell\": \"15\", \"bbox\": [180, 221, 190, 230]}, {\"cell\": \"(9.9%)\", \"bbox\": [241, 221, 263, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA\", \"bbox\": [131, 235, 143, 244]}, {\"cell\": \"0\", \"bbox\": [180, 235, 186, 244]}, {\"cell\": \"(0.0%)\", \"bbox\": [241, 235, 263, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2898683_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}771{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Reduction in prevalence</b></td><td><b>Numberof casesaverted<sup>a</sup></b></td><td><b>Potentialcostsavings<sup>b</sup></b></td><td><b>Net benefits(costs AUD)<sup>c</sup></b></td><td><b>Incrementalcost-effectivenessratio (ICER, AUD)<sup>d</sup></b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\"><b>Sensitivity 1: reduce value of saving high-risk youth to $1.673 M (base case $1.934 M)</b></td></tr><tr><td>2%</td><td>22</td><td>$42,548,000</td><td>[EMPTY_CELL]</td><td>-$138,545</td></tr><tr><td>1%</td><td>11</td><td>$21,274,000</td><td>[EMPTY_CELL]</td><td>$1,656,909</td></tr><tr><td colspan=\\\"5\\\"><b>Sensitivity 2: increase value of saving high-risk youth to $2.264 M (base case $1.934 M)</b></td></tr><tr><td>2%</td><td>22</td><td>$49,808,000</td><td>[EMPTY_CELL]</td><td>-$468,545</td></tr><tr><td>1%</td><td>11</td><td>$24,904,000</td><td>[EMPTY_CELL]</td><td>-$1,326,909</td></tr><tr><td colspan=\\\"5\\\"><b>Sensitivity 3: increase proportion of participants likely to embark on a high-risk pathway to 3% (base case 0.5%)</b></td></tr><tr><td>2%</td><td>132</td><td>$255,288,000</td><td>[EMPTY_CELL]</td><td>-$1,634,758</td></tr><tr><td>1%</td><td>66</td><td>$127,644,000</td><td>[EMPTY_CELL]</td><td>-$1,335,515</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Reduction in prevalence</b>\", \"bbox\": [46, 5, 99, 23]}, {\"cell\": \"<b>Numberof casesaverted<sup>a</sup></b>\", \"bbox\": [149, 5, 184, 33]}, {\"cell\": \"<b>Potentialcostsavings<sup>b</sup></b>\", \"bbox\": [240, 5, 278, 33]}, {\"cell\": \"<b>Net benefits(costs AUD)<sup>c</sup></b>\", \"bbox\": [325, 5, 378, 23]}, {\"cell\": \"<b>Incrementalcost-effectivenessratio (ICER, AUD)<sup>d</sup></b>\", \"bbox\": [428, 5, 497, 42]}, {\"cell\": \"<b>Sensitivity 1: reduce value of saving high-risk youth to $1.673 M (base case $1.934 M)</b>\", \"bbox\": [4, 55, 330, 64]}, {\"cell\": \"2%\", \"bbox\": [87, 65, 99, 73]}, {\"cell\": \"22\", \"bbox\": [174, 65, 184, 73]}, {\"cell\": \"$42,548,000\", \"bbox\": [235, 65, 278, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 65, 378, 73]}, {\"cell\": \"-$138,545\", \"bbox\": [462, 65, 497, 73]}, {\"cell\": \"1%\", \"bbox\": [87, 75, 99, 84]}, {\"cell\": \"11\", \"bbox\": [174, 75, 184, 84]}, {\"cell\": \"$21,274,000\", \"bbox\": [235, 75, 278, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 75, 378, 84]}, {\"cell\": \"$1,656,909\", \"bbox\": [459, 75, 497, 84]}, {\"cell\": \"<b>Sensitivity 2: increase value of saving high-risk youth to $2.264 M (base case $1.934 M)</b>\", \"bbox\": [4, 85, 336, 95]}, {\"cell\": \"2%\", \"bbox\": [87, 96, 99, 104]}, {\"cell\": \"22\", \"bbox\": [174, 96, 184, 104]}, {\"cell\": \"$49,808,000\", \"bbox\": [235, 96, 278, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 96, 378, 104]}, {\"cell\": \"-$468,545\", \"bbox\": [462, 96, 497, 104]}, {\"cell\": \"1%\", \"bbox\": [87, 106, 99, 114]}, {\"cell\": \"11\", \"bbox\": [174, 106, 184, 114]}, {\"cell\": \"$24,904,000\", \"bbox\": [235, 106, 278, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 106, 378, 114]}, {\"cell\": \"-$1,326,909\", \"bbox\": [456, 106, 497, 114]}, {\"cell\": \"<b>Sensitivity 3: increase proportion of participants likely to embark on a high-risk pathway to 3% (base case 0.5%)</b>\", \"bbox\": [4, 116, 432, 126]}, {\"cell\": \"2%\", \"bbox\": [87, 126, 99, 135]}, {\"cell\": \"132\", \"bbox\": [170, 126, 184, 135]}, {\"cell\": \"$255,288,000\", \"bbox\": [230, 126, 278, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [328, 126, 378, 135]}, {\"cell\": \"-$1,634,758\", \"bbox\": [456, 126, 497, 135]}, {\"cell\": \"1%\", \"bbox\": [87, 137, 99, 145]}, {\"cell\": \"66\", \"bbox\": [174, 137, 184, 145]}, {\"cell\": \"$127,644,000\", \"bbox\": [230, 137, 278, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 137, 378, 145]}, {\"cell\": \"-$1,335,515\", \"bbox\": [456, 137, 497, 145]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2640473_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}772{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene Symbol</b></td><td><b>Position</b></td><td><b>Cell Line</b></td><td><b>Direction of Change</b></td></tr></thead><tbody><tr><td>ABL2</td><td>446</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>AURKA</td><td>258</td><td>[EMPTY_CELL]</td><td>Decrease</td></tr><tr><td>CHUK</td><td>146</td><td>[EMPTY_CELL]</td><td>Decrease</td></tr><tr><td>CMPK1</td><td>16</td><td>[EMPTY_CELL]</td><td>Decrease</td></tr><tr><td>CSNK2A2</td><td>159</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>JAK1</td><td>718</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>LATS2</td><td>793</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>LATS2</td><td>697</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>MAP2K2</td><td>108</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>MAP2K6</td><td>181</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>MAST3</td><td>492</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>NADK2</td><td>76</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>NEK2</td><td>143</td><td>[EMPTY_CELL]</td><td>Decrease</td></tr><tr><td>NEK3</td><td>131</td><td>[EMPTY_CELL]</td><td>Decrease</td></tr><tr><td>PGK1</td><td>184</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>PGK1</td><td>91</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>PKM</td><td>322</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>PKM</td><td>66</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>PLK1</td><td>178</td><td>[EMPTY_CELL]</td><td>Decrease</td></tr><tr><td>PLK1</td><td>82</td><td>[EMPTY_CELL]</td><td>Decrease</td></tr><tr><td>PRKAA1</td><td>40</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>PRPF4B</td><td>727</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>ROCK2</td><td>1065</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>STK38</td><td>118</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>STK38L</td><td>119</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>TK1</td><td>32</td><td>[EMPTY_CELL]</td><td>Decrease</td></tr><tr><td>TLK1</td><td>485</td><td>[EMPTY_CELL]</td><td>Increase</td></tr><tr><td>ULK1</td><td>140</td><td>[EMPTY_CELL]</td><td>Increase</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene Symbol</b>\", \"bbox\": [6, 4, 50, 14]}, {\"cell\": \"<b>Position</b>\", \"bbox\": [58, 4, 86, 14]}, {\"cell\": \"<b>Cell Line</b>\", \"bbox\": [112, 4, 143, 14]}, {\"cell\": \"<b>Direction of Change</b>\", \"bbox\": [169, 4, 235, 14]}, {\"cell\": \"ABL2\", \"bbox\": [17, 19, 38, 29]}, {\"cell\": \"446\", \"bbox\": [65, 19, 79, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 19, 149, 29]}, {\"cell\": \"Increase\", \"bbox\": [189, 19, 216, 29]}, {\"cell\": \"AURKA\", \"bbox\": [14, 33, 42, 43]}, {\"cell\": \"258\", \"bbox\": [65, 33, 79, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 33, 161, 43]}, {\"cell\": \"Decrease\", \"bbox\": [187, 33, 217, 43]}, {\"cell\": \"CHUK\", \"bbox\": [16, 47, 39, 57]}, {\"cell\": \"146\", \"bbox\": [65, 47, 79, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 47, 149, 57]}, {\"cell\": \"Decrease\", \"bbox\": [187, 47, 217, 57]}, {\"cell\": \"CMPK1\", \"bbox\": [14, 61, 41, 71]}, {\"cell\": \"16\", \"bbox\": [67, 61, 77, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 61, 149, 71]}, {\"cell\": \"Decrease\", \"bbox\": [187, 61, 217, 71]}, {\"cell\": \"CSNK2A2\", \"bbox\": [10, 75, 45, 85]}, {\"cell\": \"159\", \"bbox\": [65, 75, 79, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 75, 147, 85]}, {\"cell\": \"Increase\", \"bbox\": [189, 75, 216, 85]}, {\"cell\": \"JAK1\", \"bbox\": [18, 89, 37, 99]}, {\"cell\": \"718\", \"bbox\": [65, 89, 79, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 89, 149, 99]}, {\"cell\": \"Increase\", \"bbox\": [189, 89, 216, 99]}, {\"cell\": \"LATS2\", \"bbox\": [16, 103, 40, 113]}, {\"cell\": \"793\", \"bbox\": [65, 103, 79, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 103, 159, 113]}, {\"cell\": \"Increase\", \"bbox\": [189, 103, 216, 113]}, {\"cell\": \"LATS2\", \"bbox\": [16, 117, 40, 127]}, {\"cell\": \"697\", \"bbox\": [65, 117, 79, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 117, 147, 127]}, {\"cell\": \"Increase\", \"bbox\": [189, 117, 216, 127]}, {\"cell\": \"MAP2K2\", \"bbox\": [12, 131, 43, 141]}, {\"cell\": \"108\", \"bbox\": [65, 131, 79, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 131, 149, 141]}, {\"cell\": \"Increase\", \"bbox\": [189, 131, 216, 141]}, {\"cell\": \"MAP2K6\", \"bbox\": [12, 145, 43, 155]}, {\"cell\": \"181\", \"bbox\": [65, 145, 79, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 145, 149, 155]}, {\"cell\": \"Increase\", \"bbox\": [189, 145, 216, 155]}, {\"cell\": \"MAST3\", \"bbox\": [15, 159, 41, 169]}, {\"cell\": \"492\", \"bbox\": [65, 159, 79, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 159, 147, 169]}, {\"cell\": \"Increase\", \"bbox\": [189, 159, 216, 169]}, {\"cell\": \"NADK2\", \"bbox\": [14, 173, 41, 183]}, {\"cell\": \"76\", \"bbox\": [67, 173, 77, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 173, 161, 183]}, {\"cell\": \"Increase\", \"bbox\": [189, 173, 216, 183]}, {\"cell\": \"NEK2\", \"bbox\": [17, 187, 38, 197]}, {\"cell\": \"143\", \"bbox\": [65, 187, 79, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 187, 149, 197]}, {\"cell\": \"Decrease\", \"bbox\": [187, 187, 217, 197]}, {\"cell\": \"NEK3\", \"bbox\": [17, 201, 38, 211]}, {\"cell\": \"131\", \"bbox\": [65, 201, 79, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 201, 149, 211]}, {\"cell\": \"Decrease\", \"bbox\": [187, 201, 217, 211]}, {\"cell\": \"PGK1\", \"bbox\": [17, 215, 38, 225]}, {\"cell\": \"184\", \"bbox\": [65, 215, 79, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 215, 147, 225]}, {\"cell\": \"Increase\", \"bbox\": [189, 215, 216, 225]}, {\"cell\": \"PGK1\", \"bbox\": [17, 229, 38, 239]}, {\"cell\": \"91\", \"bbox\": [67, 229, 77, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 229, 149, 239]}, {\"cell\": \"Increase\", \"bbox\": [189, 229, 216, 239]}, {\"cell\": \"PKM\", \"bbox\": [19, 243, 37, 253]}, {\"cell\": \"322\", \"bbox\": [65, 243, 79, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 243, 147, 253]}, {\"cell\": \"Increase\", \"bbox\": [189, 243, 216, 253]}, {\"cell\": \"PKM\", \"bbox\": [19, 257, 37, 267]}, {\"cell\": \"66\", \"bbox\": [67, 257, 77, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 257, 147, 267]}, {\"cell\": \"Increase\", \"bbox\": [189, 257, 216, 267]}, {\"cell\": \"PLK1\", \"bbox\": [18, 271, 38, 281]}, {\"cell\": \"178\", \"bbox\": [65, 271, 79, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [94, 271, 161, 281]}, {\"cell\": \"Decrease\", \"bbox\": [187, 271, 217, 281]}, {\"cell\": \"PLK1\", \"bbox\": [18, 285, 38, 295]}, {\"cell\": \"82\", \"bbox\": [67, 285, 77, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 285, 147, 295]}, {\"cell\": \"Decrease\", \"bbox\": [187, 285, 217, 295]}, {\"cell\": \"PRKAA1\", \"bbox\": [12, 299, 43, 309]}, {\"cell\": \"40\", \"bbox\": [67, 299, 77, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 299, 149, 309]}, {\"cell\": \"Increase\", \"bbox\": [189, 299, 216, 309]}, {\"cell\": \"PRPF4B\", \"bbox\": [14, 313, 42, 323]}, {\"cell\": \"727\", \"bbox\": [65, 313, 79, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 313, 149, 323]}, {\"cell\": \"Increase\", \"bbox\": [189, 313, 216, 323]}, {\"cell\": \"ROCK2\", \"bbox\": [15, 327, 41, 337]}, {\"cell\": \"1065\", \"bbox\": [64, 327, 81, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 327, 149, 337]}, {\"cell\": \"Increase\", \"bbox\": [189, 327, 216, 337]}, {\"cell\": \"STK38\", \"bbox\": [16, 341, 40, 351]}, {\"cell\": \"118\", \"bbox\": [65, 341, 79, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 341, 159, 351]}, {\"cell\": \"Increase\", \"bbox\": [189, 341, 216, 351]}, {\"cell\": \"STK38L\", \"bbox\": [14, 355, 42, 365]}, {\"cell\": \"119\", \"bbox\": [65, 355, 79, 365]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 355, 149, 365]}, {\"cell\": \"Increase\", \"bbox\": [189, 355, 216, 365]}, {\"cell\": \"TK1\", \"bbox\": [20, 369, 36, 379]}, {\"cell\": \"32\", \"bbox\": [67, 369, 77, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 369, 151, 379]}, {\"cell\": \"Decrease\", \"bbox\": [187, 369, 217, 379]}, {\"cell\": \"TLK1\", \"bbox\": [18, 383, 38, 393]}, {\"cell\": \"485\", \"bbox\": [65, 383, 79, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 383, 151, 393]}, {\"cell\": \"Increase\", \"bbox\": [189, 383, 216, 393]}, {\"cell\": \"ULK1\", \"bbox\": [17, 397, 38, 407]}, {\"cell\": \"140\", \"bbox\": [65, 397, 79, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 397, 149, 407]}, {\"cell\": \"Increase\", \"bbox\": [189, 397, 216, 407]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5217344_016_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}773{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Primer</b></td><td><b>Sequence (5′-3′)</b></td><td><b>Description</b></td><td><b>Expected size (bp)</b></td></tr></thead><tbody><tr><td>OriTF</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">OriT</td><td rowspan=\\\"2\\\">700</td></tr><tr><td>OriTR</td><td>[EMPTY_CELL]</td></tr><tr><td>ZF</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">RepA and its flanking sequences</td><td rowspan=\\\"2\\\">2100</td></tr><tr><td>ZR</td><td>[EMPTY_CELL]</td></tr><tr><td>EmCFB</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">EmR in pOriT-4Em</td><td rowspan=\\\"2\\\">825</td></tr><tr><td>EmC</td><td>[EMPTY_CELL]</td></tr><tr><td>UPF</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Upstream homologous fragment of <i>epsT</i></td><td rowspan=\\\"2\\\">834</td></tr><tr><td>UPR</td><td>[EMPTY_CELL]</td></tr><tr><td>DnF</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Downstream homologous fragment of <i>epsT</i></td><td rowspan=\\\"2\\\">830</td></tr><tr><td>DnR</td><td>[EMPTY_CELL]</td></tr><tr><td>EmF</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\"><i>EmR</i> in pMT</td><td rowspan=\\\"2\\\">825</td></tr><tr><td>EmR</td><td>[EMPTY_CELL]</td></tr><tr><td>sacbF</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\"><i>sacB</i></td><td rowspan=\\\"2\\\">1900</td></tr><tr><td>sacBR</td><td>[EMPTY_CELL]</td></tr><tr><td>TyzF</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Confirmation of the second recombination</td><td>3400<sup>a</sup></td></tr><tr><td>TyzR</td><td>[EMPTY_CELL]</td><td>2000<sup>b</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Primer</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>Sequence (5′-3′)</b>\", \"bbox\": [53, 4, 109, 13]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [300, 4, 342, 13]}, {\"cell\": \"<b>Expected size (bp)</b>\", \"bbox\": [419, 4, 484, 13]}, {\"cell\": \"OriTF\", \"bbox\": [4, 17, 22, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 17, 140, 27]}, {\"cell\": \"OriT\", \"bbox\": [313, 24, 328, 34]}, {\"cell\": \"700\", \"bbox\": [445, 24, 458, 34]}, {\"cell\": \"OriTR\", \"bbox\": [3, 31, 22, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 31, 145, 41]}, {\"cell\": \"ZF\", \"bbox\": [8, 45, 18, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 45, 177, 55]}, {\"cell\": \"RepA and its flanking sequences\", \"bbox\": [268, 52, 374, 62]}, {\"cell\": \"2100\", \"bbox\": [443, 52, 460, 62]}, {\"cell\": \"ZR\", \"bbox\": [8, 59, 18, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 59, 218, 69]}, {\"cell\": \"EmCFB\", \"bbox\": [1, 73, 25, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 73, 223, 83]}, {\"cell\": \"EmR in pOriT-4Em\", \"bbox\": [291, 80, 351, 90]}, {\"cell\": \"825\", \"bbox\": [445, 80, 458, 90]}, {\"cell\": \"EmC\", \"bbox\": [5, 87, 21, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 87, 178, 97]}, {\"cell\": \"UPF\", \"bbox\": [6, 101, 20, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 101, 198, 111]}, {\"cell\": \"Upstream homologous fragment of <i>epsT</i>\", \"bbox\": [255, 108, 387, 118]}, {\"cell\": \"834\", \"bbox\": [445, 108, 458, 118]}, {\"cell\": \"UPR\", \"bbox\": [5, 115, 20, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 115, 185, 125]}, {\"cell\": \"DnF\", \"bbox\": [5, 129, 20, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 129, 167, 139]}, {\"cell\": \"Downstream homologous fragment of <i>epsT</i>\", \"bbox\": [250, 136, 392, 146]}, {\"cell\": \"830\", \"bbox\": [445, 136, 458, 146]}, {\"cell\": \"DnR\", \"bbox\": [5, 143, 21, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 143, 198, 153]}, {\"cell\": \"EmF\", \"bbox\": [5, 157, 21, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 157, 198, 167]}, {\"cell\": \"<i>EmR</i> in pMT\", \"bbox\": [301, 164, 341, 174]}, {\"cell\": \"825\", \"bbox\": [445, 164, 458, 174]}, {\"cell\": \"EmR\", \"bbox\": [5, 171, 21, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 171, 182, 181]}, {\"cell\": \"sacbF\", \"bbox\": [3, 185, 23, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 185, 187, 195]}, {\"cell\": \"<i>sacB</i>\", \"bbox\": [313, 192, 329, 201]}, {\"cell\": \"1900\", \"bbox\": [443, 192, 460, 202]}, {\"cell\": \"sacBR\", \"bbox\": [3, 199, 23, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 199, 181, 209]}, {\"cell\": \"TyzF\", \"bbox\": [5, 213, 21, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 213, 168, 223]}, {\"cell\": \"Confirmation of the second recombination\", \"bbox\": [251, 220, 391, 230]}, {\"cell\": \"3400<sup>a</sup>\", \"bbox\": [442, 211, 462, 223]}, {\"cell\": \"TyzR\", \"bbox\": [5, 227, 21, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [53, 227, 154, 237]}, {\"cell\": \"2000<sup>b</sup>\", \"bbox\": [441, 225, 462, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3930924_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}774{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Measures (normal value range)</b></td><td colspan=\\\"2\\\"><b>No-response</b></td><td colspan=\\\"2\\\"><b>Response</b></td></tr><tr><td><b>Before treatment</b></td><td><b>After treatment</b></td><td><b>Before treatment</b></td><td><b>After treatment</b></td></tr></thead><tbody><tr><td>Total protein (65–85 g/L)</td><td>73.24 ± 4.32</td><td>72.52 ± 3.46</td><td>[EMPTY_CELL]</td><td>74.64 ± 3.68</td></tr><tr><td>Albumin (40–55 g/L)</td><td>33.23 ± 5.31</td><td>32.57 ± 3.54</td><td>[EMPTY_CELL]</td><td>40.63 ± 3.25*</td></tr><tr><td>Globulin (20–40 g/L)</td><td>30.62 ± 3.57</td><td>31.39 ± 4.36</td><td>[EMPTY_CELL]</td><td>32.13 ± 3.86</td></tr><tr><td>Cholesterol (3.1–5.72 mmol/L)</td><td>4.03 ± 1.34</td><td>4.23 ± 1.53</td><td>[EMPTY_CELL]</td><td>4.28 ± 1.93</td></tr><tr><td>Triglyceride (0.30–1.7 mmol/L)</td><td>1.46 ± 0.69</td><td>1.49 ± 0.83</td><td>[EMPTY_CELL]</td><td>1.43 ± 0.58</td></tr><tr><td>Creatinine (41–73 μmol/L)</td><td>46.53 ± 13.52</td><td>45.36 ± 12.38</td><td>[EMPTY_CELL]</td><td>45.25 ± 14.21</td></tr><tr><td>Urea (2.6–7.5 mmol/L)</td><td>4.23 ± 1.35</td><td>4.34 ± 1.28</td><td>[EMPTY_CELL]</td><td>4.15 ± 1.87</td></tr><tr><td>Fasting blood glucose (3.9–6.1 mmol/L)</td><td>4.74 ± 0.83</td><td>4.84 ± 0.96</td><td>[EMPTY_CELL]</td><td>4.75 ± 0.86</td></tr><tr><td>White blood cell (3.5–9.5) × 10<sup>9</sup></td><td>5.65 ± 1.35</td><td>5.78 ± 1.26</td><td>[EMPTY_CELL]</td><td>5.59 ± 1.47</td></tr><tr><td>Hemoglobin (115–150 g/L)</td><td>102.35 ± 18.79</td><td>103.24 ± 19.21</td><td>[EMPTY_CELL]</td><td>113.46 ± 16.62*</td></tr><tr><td>Platelet (94–268) × 10<sup>9</sup></td><td>253.23 ± 68.31</td><td>262.31 ± 72.78</td><td>[EMPTY_CELL]</td><td>223.19 ± 65.87*</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Measures (normal value range)</b>\", \"bbox\": [1, 4, 109, 14]}, {\"cell\": \"<b>No-response</b>\", \"bbox\": [158, 4, 204, 14]}, {\"cell\": \"<b>Response</b>\", \"bbox\": [334, 4, 369, 14]}, {\"cell\": \"<b>Before treatment</b>\", \"bbox\": [158, 20, 219, 30]}, {\"cell\": \"<b>After treatment</b>\", \"bbox\": [248, 20, 304, 30]}, {\"cell\": \"<b>Before treatment</b>\", \"bbox\": [334, 20, 395, 30]}, {\"cell\": \"<b>After treatment</b>\", \"bbox\": [424, 20, 480, 30]}, {\"cell\": \"Total protein (65–85 g/L)\", \"bbox\": [1, 38, 81, 48]}, {\"cell\": \"73.24 ± 4.32\", \"bbox\": [163, 38, 203, 48]}, {\"cell\": \"72.52 ± 3.46\", \"bbox\": [254, 38, 294, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 38, 379, 48]}, {\"cell\": \"74.64 ± 3.68\", \"bbox\": [430, 38, 470, 48]}, {\"cell\": \"Albumin (40–55 g/L)\", \"bbox\": [1, 50, 68, 60]}, {\"cell\": \"33.23 ± 5.31\", \"bbox\": [163, 50, 203, 60]}, {\"cell\": \"32.57 ± 3.54\", \"bbox\": [254, 50, 294, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 50, 379, 60]}, {\"cell\": \"40.63 ± 3.25*\", \"bbox\": [430, 50, 473, 60]}, {\"cell\": \"Globulin (20–40 g/L)\", \"bbox\": [1, 62, 68, 72]}, {\"cell\": \"30.62 ± 3.57\", \"bbox\": [163, 62, 203, 72]}, {\"cell\": \"31.39 ± 4.36\", \"bbox\": [254, 62, 294, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 62, 379, 72]}, {\"cell\": \"32.13 ± 3.86\", \"bbox\": [430, 62, 470, 72]}, {\"cell\": \"Cholesterol (3.1–5.72 mmol/L)\", \"bbox\": [1, 75, 98, 84]}, {\"cell\": \"4.03 ± 1.34\", \"bbox\": [167, 75, 203, 84]}, {\"cell\": \"4.23 ± 1.53\", \"bbox\": [258, 75, 294, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 75, 379, 84]}, {\"cell\": \"4.28 ± 1.93\", \"bbox\": [433, 75, 470, 84]}, {\"cell\": \"Triglyceride (0.30–1.7 mmol/L)\", \"bbox\": [1, 87, 99, 96]}, {\"cell\": \"1.46 ± 0.69\", \"bbox\": [167, 87, 203, 96]}, {\"cell\": \"1.49 ± 0.83\", \"bbox\": [258, 87, 294, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 87, 379, 96]}, {\"cell\": \"1.43 ± 0.58\", \"bbox\": [433, 87, 470, 96]}, {\"cell\": \"Creatinine (41–73 μmol/L)\", \"bbox\": [1, 99, 86, 108]}, {\"cell\": \"46.53 ± 13.52\", \"bbox\": [163, 99, 207, 108]}, {\"cell\": \"45.36 ± 12.38\", \"bbox\": [254, 99, 298, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 99, 383, 108]}, {\"cell\": \"45.25 ± 14.21\", \"bbox\": [430, 99, 474, 108]}, {\"cell\": \"Urea (2.6–7.5 mmol/L)\", \"bbox\": [1, 111, 73, 120]}, {\"cell\": \"4.23 ± 1.35\", \"bbox\": [167, 111, 203, 120]}, {\"cell\": \"4.34 ± 1.28\", \"bbox\": [258, 111, 294, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 111, 379, 120]}, {\"cell\": \"4.15 ± 1.87\", \"bbox\": [433, 111, 470, 120]}, {\"cell\": \"Fasting blood glucose (3.9–6.1 mmol/L)\", \"bbox\": [1, 123, 128, 132]}, {\"cell\": \"4.74 ± 0.83\", \"bbox\": [167, 123, 203, 132]}, {\"cell\": \"4.84 ± 0.96\", \"bbox\": [258, 123, 294, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 123, 379, 132]}, {\"cell\": \"4.75 ± 0.86\", \"bbox\": [433, 123, 470, 132]}, {\"cell\": \"White blood cell (3.5–9.5) × 10<sup>9</sup>\", \"bbox\": [1, 134, 102, 144]}, {\"cell\": \"5.65 ± 1.35\", \"bbox\": [167, 135, 203, 144]}, {\"cell\": \"5.78 ± 1.26\", \"bbox\": [258, 135, 294, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 135, 379, 144]}, {\"cell\": \"5.59 ± 1.47\", \"bbox\": [433, 135, 470, 144]}, {\"cell\": \"Hemoglobin (115–150 g/L)\", \"bbox\": [0, 147, 89, 157]}, {\"cell\": \"102.35 ± 18.79\", \"bbox\": [159, 147, 207, 157]}, {\"cell\": \"103.24 ± 19.21\", \"bbox\": [250, 147, 298, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 147, 383, 157]}, {\"cell\": \"113.46 ± 16.62*\", \"bbox\": [426, 147, 477, 157]}, {\"cell\": \"Platelet (94–268) × 10<sup>9</sup>\", \"bbox\": [0, 158, 74, 169]}, {\"cell\": \"253.23 ± 68.31\", \"bbox\": [159, 159, 207, 169]}, {\"cell\": \"262.31 ± 72.78\", \"bbox\": [250, 159, 298, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 159, 383, 169]}, {\"cell\": \"223.19 ± 65.87*\", \"bbox\": [426, 159, 477, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6003078_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}775{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Measures</b></td><td><b>Conditions</b></td></tr></thead><tbody><tr><td>Skin fold thickness (caliper 5 g/mm<sup>2</sup>)</td><td>[EMPTY_CELL]</td></tr><tr><td> Triceps and biceps</td><td>[EMPTY_CELL]</td></tr><tr><td> Subscapular</td><td>[EMPTY_CELL]</td></tr><tr><td> Supra iliac</td><td>[EMPTY_CELL]</td></tr><tr><td>Dimensions</td><td>[EMPTY_CELL]</td></tr><tr><td> Condylar</td><td>[EMPTY_CELL]</td></tr><tr><td> Bistyloid</td><td>[EMPTY_CELL]</td></tr><tr><td> Waist</td><td>[EMPTY_CELL]</td></tr><tr><td> Hip</td><td>[EMPTY_CELL]</td></tr><tr><td>TBF calculations, percentage</td><td>[EMPTY_CELL]</td></tr><tr><td> Womersley [9]</td><td>[EMPTY_CELL]</td></tr><tr><td> James [10]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> von Döbeln [11]</td><td>[EMPTY_CELL]</td></tr><tr><td> Deurenberg <i>et al</i>. [12]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Measures</b>\", \"bbox\": [5, 9, 40, 19]}, {\"cell\": \"<b>Conditions</b>\", \"bbox\": [166, 9, 205, 19]}, {\"cell\": \"Skin fold thickness (caliper 5 g/mm<sup>2</sup>)\", \"bbox\": [5, 25, 132, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Triceps and biceps\", \"bbox\": [14, 41, 81, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 41, 400, 51]}, {\"cell\": \" Subscapular\", \"bbox\": [14, 56, 59, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 56, 361, 66]}, {\"cell\": \" Supra iliac\", \"bbox\": [14, 72, 52, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 72, 253, 82]}, {\"cell\": \"Dimensions\", \"bbox\": [5, 87, 46, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Condylar\", \"bbox\": [14, 103, 47, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 103, 245, 113]}, {\"cell\": \" Bistyloid\", \"bbox\": [14, 118, 45, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 118, 245, 128]}, {\"cell\": \" Waist\", \"bbox\": [14, 134, 36, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 134, 297, 144]}, {\"cell\": \" Hip\", \"bbox\": [14, 149, 28, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 149, 291, 159]}, {\"cell\": \"TBF calculations, percentage\", \"bbox\": [5, 165, 106, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Womersley [9]\", \"bbox\": [14, 180, 67, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 170, 303, 192]}, {\"cell\": \" James [10]\", \"bbox\": [14, 196, 54, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 195, 343, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 211, 355, 221]}, {\"cell\": \" von Döbeln [11]\", \"bbox\": [14, 227, 72, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 216, 438, 238]}, {\"cell\": \" Deurenberg <i>et al</i>. [12]\", \"bbox\": [14, 242, 92, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 242, 340, 252]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2575566_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}776{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Maternal free sugar intake during pregnancy</b></td><td rowspan=\\\"2\\\"><b>p<i>-</i>trend</b></td></tr><tr><td><b>Quintile 1</b></td><td><b>Quintile 2</b></td><td><b>Quintile 3</b></td><td><b>Quintile 4</b></td><td><b>Quintile 5</b></td><td><b>Per quintile</b></td></tr></thead><tbody><tr><td><b>Atopy without asthma n=794</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Adjusted OR<sup>¶</sup> (95% CI)</td><td>1.00</td><td>0.78 (0.61–1.01)</td><td>1.05 (0.82–1.34)</td><td>0.96 (0.73–1.25)</td><td>1.09 (0.80–1.50)</td><td>1.04 (0.97–1.12)</td><td>[EMPTY_CELL]</td></tr><tr><td> Adjusted OR<sup>+</sup> (95% CI)</td><td>1.00</td><td>0.77 (0.60–0.99)</td><td>1.05 (0.82–1.34)</td><td>0.95 (0.72–1.25)</td><td>1.17 (0.85–1.62)</td><td>1.05 (0.98–1.13)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Nonatopic asthma n=301</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Adjusted OR<sup>¶</sup> (95% CI)</td><td>1.00</td><td>0.82 (0.57–1.16)</td><td>0.67 (0.46–0.99)</td><td>0.77 (0.52–1.16)</td><td>0.83 (0.52–1.34)</td><td>0.95 (0.85–1.06)</td><td>[EMPTY_CELL]</td></tr><tr><td> Adjusted OR<sup>+</sup> (95% CI)</td><td>1.00</td><td>0.87 (0.61–1.25)</td><td>0.73 (0.49–1.08)</td><td>0.78 (0.52–1.18)</td><td>0.71 (0.43–1.15)</td><td>0.92 (0.82–1.03)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Atopic asthma n=337</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Adjusted OR<sup>¶</sup> (95% CI)</td><td>1.00</td><td>1.66 (1.14–2.41)</td><td>1.17 (0.78–1.77)</td><td>2.09 (1.39–3.14)</td><td>1.79 (1.11–2.90)</td><td>1.14 (1.03–1.27)</td><td>[EMPTY_CELL]</td></tr><tr><td> Adjusted OR<sup>+</sup> (95% CI)</td><td>1.00</td><td>1.75 (1.20–2.56)</td><td>1.27 (0.84–1.93)</td><td>2.18 (1.45–3.30)</td><td>2.01 (1.23–3.29)</td><td>1.17 (1.05–1.30)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Maternal free sugar intake during pregnancy</b>\", \"bbox\": [210, 3, 375, 12]}, {\"cell\": \"<b>p<i>-</i>trend</b>\", \"bbox\": [479, 3, 508, 12]}, {\"cell\": \"<b>Quintile 1</b>\", \"bbox\": [113, 17, 150, 26]}, {\"cell\": \"<b>Quintile 2</b>\", \"bbox\": [168, 17, 204, 26]}, {\"cell\": \"<b>Quintile 3</b>\", \"bbox\": [232, 17, 269, 26]}, {\"cell\": \"<b>Quintile 4</b>\", \"bbox\": [296, 17, 333, 26]}, {\"cell\": \"<b>Quintile 5</b>\", \"bbox\": [361, 17, 397, 26]}, {\"cell\": \"<b>Per quintile</b>\", \"bbox\": [421, 17, 466, 26]}, {\"cell\": \"<b>Atopy without asthma n=794</b>\", \"bbox\": [1, 37, 106, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Adjusted OR<sup>¶</sup> (95% CI)\", \"bbox\": [8, 45, 89, 57]}, {\"cell\": \"1.00\", \"bbox\": [123, 46, 140, 57]}, {\"cell\": \"0.78 (0.61–1.01)\", \"bbox\": [157, 46, 214, 57]}, {\"cell\": \"1.05 (0.82–1.34)\", \"bbox\": [222, 46, 279, 57]}, {\"cell\": \"0.96 (0.73–1.25)\", \"bbox\": [286, 46, 343, 57]}, {\"cell\": \"1.09 (0.80–1.50)\", \"bbox\": [351, 46, 408, 57]}, {\"cell\": \"1.04 (0.97–1.12)\", \"bbox\": [415, 46, 472, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [486, 46, 502, 57]}, {\"cell\": \" Adjusted OR<sup>+</sup> (95% CI)\", \"bbox\": [8, 55, 88, 67]}, {\"cell\": \"1.00\", \"bbox\": [123, 56, 140, 67]}, {\"cell\": \"0.77 (0.60–0.99)\", \"bbox\": [157, 56, 214, 67]}, {\"cell\": \"1.05 (0.82–1.34)\", \"bbox\": [222, 56, 279, 67]}, {\"cell\": \"0.95 (0.72–1.25)\", \"bbox\": [286, 56, 343, 67]}, {\"cell\": \"1.17 (0.85–1.62)\", \"bbox\": [351, 56, 408, 67]}, {\"cell\": \"1.05 (0.98–1.13)\", \"bbox\": [415, 56, 472, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [486, 56, 502, 67]}, {\"cell\": \"<b>Nonatopic asthma n=301</b>\", \"bbox\": [1, 67, 92, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Adjusted OR<sup>¶</sup> (95% CI)\", \"bbox\": [8, 75, 89, 87]}, {\"cell\": \"1.00\", \"bbox\": [123, 76, 140, 87]}, {\"cell\": \"0.82 (0.57–1.16)\", \"bbox\": [157, 76, 214, 87]}, {\"cell\": \"0.67 (0.46–0.99)\", \"bbox\": [222, 76, 279, 87]}, {\"cell\": \"0.77 (0.52–1.16)\", \"bbox\": [286, 76, 343, 87]}, {\"cell\": \"0.83 (0.52–1.34)\", \"bbox\": [351, 76, 408, 87]}, {\"cell\": \"0.95 (0.85–1.06)\", \"bbox\": [415, 76, 472, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [486, 76, 502, 87]}, {\"cell\": \" Adjusted OR<sup>+</sup> (95% CI)\", \"bbox\": [8, 85, 88, 97]}, {\"cell\": \"1.00\", \"bbox\": [123, 86, 140, 97]}, {\"cell\": \"0.87 (0.61–1.25)\", \"bbox\": [157, 86, 214, 97]}, {\"cell\": \"0.73 (0.49–1.08)\", \"bbox\": [222, 86, 279, 97]}, {\"cell\": \"0.78 (0.52–1.18)\", \"bbox\": [286, 86, 343, 97]}, {\"cell\": \"0.71 (0.43–1.15)\", \"bbox\": [351, 86, 408, 97]}, {\"cell\": \"0.92 (0.82–1.03)\", \"bbox\": [415, 86, 472, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [486, 86, 502, 97]}, {\"cell\": \"<b>Atopic asthma n=337</b>\", \"bbox\": [1, 97, 78, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Adjusted OR<sup>¶</sup> (95% CI)\", \"bbox\": [8, 105, 89, 117]}, {\"cell\": \"1.00\", \"bbox\": [123, 106, 140, 117]}, {\"cell\": \"1.66 (1.14–2.41)\", \"bbox\": [157, 106, 214, 117]}, {\"cell\": \"1.17 (0.78–1.77)\", \"bbox\": [222, 106, 279, 117]}, {\"cell\": \"2.09 (1.39–3.14)\", \"bbox\": [286, 106, 343, 117]}, {\"cell\": \"1.79 (1.11–2.90)\", \"bbox\": [351, 106, 408, 117]}, {\"cell\": \"1.14 (1.03–1.27)\", \"bbox\": [415, 106, 472, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [486, 106, 502, 117]}, {\"cell\": \" Adjusted OR<sup>+</sup> (95% CI)\", \"bbox\": [8, 115, 88, 127]}, {\"cell\": \"1.00\", \"bbox\": [123, 116, 140, 127]}, {\"cell\": \"1.75 (1.20–2.56)\", \"bbox\": [157, 116, 214, 127]}, {\"cell\": \"1.27 (0.84–1.93)\", \"bbox\": [222, 116, 279, 127]}, {\"cell\": \"2.18 (1.45–3.30)\", \"bbox\": [286, 116, 343, 127]}, {\"cell\": \"2.01 (1.23–3.29)\", \"bbox\": [351, 116, 408, 127]}, {\"cell\": \"1.17 (1.05–1.30)\", \"bbox\": [415, 116, 472, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [484, 116, 504, 127]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5540678_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}777{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Never</b></td><td><b>Almost never</b></td><td><b>Sometimes</b></td><td><b>Fairly often</b></td><td><b>Very often</b></td></tr></thead><tbody><tr><td>(1) In the last 30 days, how often have you been upset because of something that happened unexpectedly?</td><td>0</td><td>1</td><td>[EMPTY_CELL]</td><td>3</td><td>4</td></tr><tr><td>(2) In the last 30 days, how often have you felt that you were unable to control the important things in your life?</td><td>0</td><td>1</td><td>[EMPTY_CELL]</td><td>3</td><td>4</td></tr><tr><td>(3) In the last 30 days, how often have you felt nervous and “stressed”?</td><td>0</td><td>1</td><td>[EMPTY_CELL]</td><td>3</td><td>4</td></tr><tr><td>(4) In the last 30 days, how often have you felt confident about your ability to handle your personal problems?</td><td>4</td><td>3</td><td>[EMPTY_CELL]</td><td>1</td><td>0</td></tr><tr><td>(5) In the last 30 days, how often have you felt that things were going your way?</td><td>4</td><td>3</td><td>[EMPTY_CELL]</td><td>1</td><td>0</td></tr><tr><td>(6) In the last 30 days, how often have you found that you could not cope with all the things that you had to do?</td><td>0</td><td>1</td><td>[EMPTY_CELL]</td><td>3</td><td>4</td></tr><tr><td>(7) In the last 30 days, how often have you been able to control irritations in your life?</td><td>4</td><td>3</td><td>[EMPTY_CELL]</td><td>1</td><td>0</td></tr><tr><td>(8) In the last 30 days, how often have you felt that you were on top of things?</td><td>4</td><td>3</td><td>[EMPTY_CELL]</td><td>1</td><td>0</td></tr><tr><td>(9) In the last 30 days, how often have you been angered because of things that were outside of your control?</td><td>0</td><td>1</td><td>[EMPTY_CELL]</td><td>3</td><td>4</td></tr><tr><td>(10) In the last 30 days, how often have you felt difficulties were piling up so high that you could not overcome them?</td><td>0</td><td>1</td><td>[EMPTY_CELL]</td><td>3</td><td>4</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Never</b>\", \"bbox\": [238, 4, 262, 15]}, {\"cell\": \"<b>Almost never</b>\", \"bbox\": [284, 4, 334, 15]}, {\"cell\": \"<b>Sometimes</b>\", \"bbox\": [347, 4, 388, 15]}, {\"cell\": \"<b>Fairly often</b>\", \"bbox\": [400, 4, 443, 15]}, {\"cell\": \"<b>Very often</b>\", \"bbox\": [456, 4, 495, 15]}, {\"cell\": \"(1) In the last 30 days, how often have you been upset because of something that happened unexpectedly?\", \"bbox\": [2, 17, 196, 38]}, {\"cell\": \"0\", \"bbox\": [247, 22, 253, 33]}, {\"cell\": \"1\", \"bbox\": [306, 22, 312, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 22, 371, 33]}, {\"cell\": \"3\", \"bbox\": [418, 22, 425, 33]}, {\"cell\": \"4\", \"bbox\": [472, 22, 478, 33]}, {\"cell\": \"(2) In the last 30 days, how often have you felt that you were unable to control the important things in your life?\", \"bbox\": [2, 40, 219, 61]}, {\"cell\": \"0\", \"bbox\": [247, 45, 253, 56]}, {\"cell\": \"1\", \"bbox\": [306, 45, 312, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 45, 371, 56]}, {\"cell\": \"3\", \"bbox\": [418, 45, 425, 56]}, {\"cell\": \"4\", \"bbox\": [472, 45, 478, 56]}, {\"cell\": \"(3) In the last 30 days, how often have you felt nervous and “stressed”?\", \"bbox\": [2, 63, 215, 84]}, {\"cell\": \"0\", \"bbox\": [247, 68, 253, 79]}, {\"cell\": \"1\", \"bbox\": [306, 68, 312, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 68, 371, 79]}, {\"cell\": \"3\", \"bbox\": [418, 68, 425, 79]}, {\"cell\": \"4\", \"bbox\": [472, 68, 478, 79]}, {\"cell\": \"(4) In the last 30 days, how often have you felt confident about your ability to handle your personal problems?\", \"bbox\": [2, 86, 205, 107]}, {\"cell\": \"4\", \"bbox\": [247, 91, 253, 102]}, {\"cell\": \"3\", \"bbox\": [306, 91, 312, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 91, 371, 102]}, {\"cell\": \"1\", \"bbox\": [418, 91, 425, 102]}, {\"cell\": \"0\", \"bbox\": [472, 91, 478, 102]}, {\"cell\": \"(5) In the last 30 days, how often have you felt that things were going your way?\", \"bbox\": [2, 109, 209, 130]}, {\"cell\": \"4\", \"bbox\": [247, 114, 253, 124]}, {\"cell\": \"3\", \"bbox\": [306, 114, 312, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 114, 371, 124]}, {\"cell\": \"1\", \"bbox\": [418, 114, 425, 124]}, {\"cell\": \"0\", \"bbox\": [472, 114, 478, 124]}, {\"cell\": \"(6) In the last 30 days, how often have you found that you could not cope with all the things that you had to do?\", \"bbox\": [2, 132, 211, 153]}, {\"cell\": \"0\", \"bbox\": [247, 137, 253, 147]}, {\"cell\": \"1\", \"bbox\": [306, 137, 312, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 137, 371, 147]}, {\"cell\": \"3\", \"bbox\": [418, 137, 425, 147]}, {\"cell\": \"4\", \"bbox\": [472, 137, 478, 147]}, {\"cell\": \"(7) In the last 30 days, how often have you been able to control irritations in your life?\", \"bbox\": [2, 154, 200, 176]}, {\"cell\": \"4\", \"bbox\": [247, 160, 253, 170]}, {\"cell\": \"3\", \"bbox\": [306, 160, 312, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 160, 371, 170]}, {\"cell\": \"1\", \"bbox\": [418, 160, 425, 170]}, {\"cell\": \"0\", \"bbox\": [472, 160, 478, 170]}, {\"cell\": \"(8) In the last 30 days, how often have you felt that you were on top of things?\", \"bbox\": [2, 177, 219, 198]}, {\"cell\": \"4\", \"bbox\": [247, 183, 253, 193]}, {\"cell\": \"3\", \"bbox\": [306, 183, 312, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 183, 371, 193]}, {\"cell\": \"1\", \"bbox\": [418, 183, 425, 193]}, {\"cell\": \"0\", \"bbox\": [472, 183, 478, 193]}, {\"cell\": \"(9) In the last 30 days, how often have you been angered because of things that were outside of your control?\", \"bbox\": [2, 200, 205, 221]}, {\"cell\": \"0\", \"bbox\": [247, 206, 253, 216]}, {\"cell\": \"1\", \"bbox\": [306, 206, 312, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 206, 371, 216]}, {\"cell\": \"3\", \"bbox\": [418, 206, 425, 216]}, {\"cell\": \"4\", \"bbox\": [472, 206, 478, 216]}, {\"cell\": \"(10) In the last 30 days, how often have you felt difficulties were piling up so high that you could not overcome them?\", \"bbox\": [2, 223, 213, 244]}, {\"cell\": \"0\", \"bbox\": [247, 228, 253, 239]}, {\"cell\": \"1\", \"bbox\": [306, 228, 312, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 228, 371, 239]}, {\"cell\": \"3\", \"bbox\": [418, 228, 425, 239]}, {\"cell\": \"4\", \"bbox\": [472, 228, 478, 239]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3191747_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}778{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Strains</b></td><td><b>Properties</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Cloning host</td><td>Invitrogen</td></tr><tr><td>[EMPTY_CELL]</td><td>Restriction deficient strain derived from <i>S. aureus</i> 8325-4</td><td>Kreiswirth et al., 1983</td></tr><tr><td>[EMPTY_CELL]</td><td><i>S. aureus</i> septic arthritis isolate from mice</td><td>Bremell et al., 1990</td></tr><tr><td>[EMPTY_CELL]</td><td>Wild-type laboratory strain</td><td>Novick, 1967</td></tr><tr><td>[EMPTY_CELL]</td><td><i>S. aureus</i> 8325-4 with <i>ermC</i> gene inserted in <i>menD</i></td><td>Bates et al., 2003</td></tr><tr><td>[EMPTY_CELL]</td><td>Spontaneous SCV derived from <i>S. aureus</i> LS-1 with mutation in <i>aroD</i></td><td>This study</td></tr><tr><td>[EMPTY_CELL]</td><td><i>S. aureus</i> LS-1 with nucleotides 448–717 bp deleted in <i>aroD</i></td><td>This study</td></tr><tr><td>[EMPTY_CELL]</td><td><i>S. aureus</i> LS-1 with <i>erm</i> gene inserted in <i>menD</i></td><td>This study</td></tr><tr><td>[EMPTY_CELL]</td><td><i>S. aureus</i> LS-1 derivative Δ<i>hemB</i></td><td>Wright and Nair, 2012</td></tr><tr><td>[EMPTY_CELL]</td><td>Revertant of SCV445 with a wild-type <i>aroD</i> gene</td><td>This study</td></tr><tr><td>[EMPTY_CELL]</td><td>A revertant of SCV445 carrying mutation in tyr-tRNA.</td><td>This study</td></tr><tr><td>[EMPTY_CELL]</td><td>A revertant of SCV445 carrying mutation in tyr-tRNA</td><td>This study</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Strains</b>\", \"bbox\": [1, 6, 26, 15]}, {\"cell\": \"<b>Properties</b>\", \"bbox\": [152, 6, 189, 15]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [440, 6, 476, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 23, 40, 32]}, {\"cell\": \"Cloning host\", \"bbox\": [152, 23, 192, 32]}, {\"cell\": \"Invitrogen\", \"bbox\": [440, 23, 471, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 35, 58, 43]}, {\"cell\": \"Restriction deficient strain derived from <i>S. aureus</i> 8325-4\", \"bbox\": [152, 35, 326, 43]}, {\"cell\": \"Kreiswirth et al., 1983\", \"bbox\": [440, 35, 507, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 46, 48, 55]}, {\"cell\": \"<i>S. aureus</i> septic arthritis isolate from mice\", \"bbox\": [152, 46, 280, 55]}, {\"cell\": \"Bremell et al., 1990\", \"bbox\": [440, 46, 500, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 55, 66]}, {\"cell\": \"Wild-type laboratory strain\", \"bbox\": [152, 57, 233, 66]}, {\"cell\": \"Novick, 1967\", \"bbox\": [440, 57, 482, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 69, 75, 77]}, {\"cell\": \"<i>S. aureus</i> 8325-4 with <i>ermC</i> gene inserted in <i>menD</i>\", \"bbox\": [152, 69, 309, 77]}, {\"cell\": \"Bates et al., 2003\", \"bbox\": [440, 69, 495, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 58, 89]}, {\"cell\": \"Spontaneous SCV derived from <i>S. aureus</i> LS-1 with mutation in <i>aroD</i>\", \"bbox\": [152, 80, 363, 89]}, {\"cell\": \"This study\", \"bbox\": [440, 80, 472, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 92, 64, 100]}, {\"cell\": \"<i>S. aureus</i> LS-1 with nucleotides 448–717 bp deleted in <i>aroD</i>\", \"bbox\": [152, 92, 337, 100]}, {\"cell\": \"This study\", \"bbox\": [440, 92, 472, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 103, 68, 111]}, {\"cell\": \"<i>S. aureus</i> LS-1 with <i>erm</i> gene inserted in <i>menD</i>\", \"bbox\": [152, 103, 297, 111]}, {\"cell\": \"This study\", \"bbox\": [440, 103, 472, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 73, 123]}, {\"cell\": \"<i>S. aureus</i> LS-1 derivative Δ<i>hemB</i>\", \"bbox\": [152, 114, 255, 123]}, {\"cell\": \"Wright and Nair, 2012\", \"bbox\": [440, 114, 508, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 126, 37, 134]}, {\"cell\": \"Revertant of SCV445 with a wild-type <i>aroD</i> gene\", \"bbox\": [152, 126, 300, 134]}, {\"cell\": \"This study\", \"bbox\": [440, 126, 472, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 137, 23, 146]}, {\"cell\": \"A revertant of SCV445 carrying mutation in tyr-tRNA.\", \"bbox\": [152, 137, 312, 146]}, {\"cell\": \"This study\", \"bbox\": [440, 137, 472, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 148, 23, 157]}, {\"cell\": \"A revertant of SCV445 carrying mutation in tyr-tRNA\", \"bbox\": [152, 148, 310, 157]}, {\"cell\": \"This study\", \"bbox\": [440, 148, 472, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5449664_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}779{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Species</b></td><td><b>Structure</b></td><td><b>MEROPS ID</b></td></tr></thead><tbody><tr><td><b>Bacteria</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Achromobacter lyticus</i></td><td>[EMPTY_CELL]</td><td>MER000277</td></tr><tr><td><i>Staphylococcus aureus</i></td><td>[EMPTY_CELL]</td><td>MER000264</td></tr><tr><td><i>Streptomyces griseus</i></td><td>[EMPTY_CELL]</td><td>MER000251</td></tr><tr><td><b>Protozoa</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Plasmodium falciparum</i></td><td>[EMPTY_CELL]</td><td>MER024901</td></tr><tr><td><b>Archaea</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Pyrococcus furiosus</i></td><td>[EMPTY_CELL]</td><td>MER017398</td></tr><tr><td><b>Fungi</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Fusarium oxysporum</i></td><td>[EMPTY_CELL]</td><td>MER000073</td></tr><tr><td><i>Neurospora crassa</i></td><td>[EMPTY_CELL]</td><td>MER028331</td></tr><tr><td><b>Plantae</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Arabidopsis thaliana</i></td><td>[EMPTY_CELL]</td><td>MER016541</td></tr><tr><td><b>Animalia</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Bos taurus</i></td><td>[EMPTY_CELL]</td><td>MER000207</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>MER000024</td></tr><tr><td><i>Eisenia fetida</i></td><td>[EMPTY_CELL]</td><td>MER011050</td></tr><tr><td><i>Homo sapiens</i></td><td>[EMPTY_CELL]</td><td>MER000188</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>MER000136</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>MER000188</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>MER000203</td></tr><tr><td><i>Mus musculus</i></td><td>[EMPTY_CELL]</td><td>MER000103</td></tr><tr><td><i>Rattus rattus</i></td><td>[EMPTY_CELL]</td><td>MER000030</td></tr><tr><td><i>Salmo salar</i></td><td>[EMPTY_CELL]</td><td>MER000035</td></tr><tr><td><i>Solenopsis invicta</i></td><td>[EMPTY_CELL]</td><td>MER027244</td></tr><tr><td><i>Trimeresurus stejnejer</i></td><td>[EMPTY_CELL]</td><td>MER002805</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Species</b>\", \"bbox\": [1, 4, 28, 13]}, {\"cell\": \"<b>Structure</b>\", \"bbox\": [101, 4, 135, 13]}, {\"cell\": \"<b>MEROPS ID</b>\", \"bbox\": [195, 4, 236, 13]}, {\"cell\": \"<b>Bacteria</b>\", \"bbox\": [1, 17, 31, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Achromobacter lyticus</i>\", \"bbox\": [1, 30, 71, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 30, 144, 39]}, {\"cell\": \"MER000277\", \"bbox\": [195, 30, 234, 39]}, {\"cell\": \"<i>Staphylococcus aureus</i>\", \"bbox\": [1, 43, 72, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 44, 144, 52]}, {\"cell\": \"MER000264\", \"bbox\": [195, 44, 234, 52]}, {\"cell\": \"<i>Streptomyces griseus</i>\", \"bbox\": [1, 56, 66, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 57, 143, 65]}, {\"cell\": \"MER000251\", \"bbox\": [195, 57, 234, 65]}, {\"cell\": \"<b>Protozoa</b>\", \"bbox\": [1, 70, 35, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Plasmodium falciparum</i>\", \"bbox\": [1, 83, 76, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 83, 171, 92]}, {\"cell\": \"MER024901\", \"bbox\": [195, 83, 234, 91]}, {\"cell\": \"<b>Archaea</b>\", \"bbox\": [1, 96, 31, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Pyrococcus furiosus</i>\", \"bbox\": [1, 109, 62, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 109, 171, 119]}, {\"cell\": \"MER017398\", \"bbox\": [195, 109, 234, 118]}, {\"cell\": \"<b>Fungi</b>\", \"bbox\": [1, 122, 23, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Fusarium oxysporum</i>\", \"bbox\": [1, 135, 67, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 136, 142, 144]}, {\"cell\": \"MER000073\", \"bbox\": [195, 136, 234, 144]}, {\"cell\": \"<i>Neurospora crassa</i>\", \"bbox\": [1, 149, 59, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 149, 171, 158]}, {\"cell\": \"MER028331\", \"bbox\": [195, 149, 234, 157]}, {\"cell\": \"<b>Plantae</b>\", \"bbox\": [1, 162, 29, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Arabidopsis thaliana</i>\", \"bbox\": [1, 175, 66, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 175, 171, 184]}, {\"cell\": \"MER016541\", \"bbox\": [195, 175, 234, 183]}, {\"cell\": \"<b>Animalia</b>\", \"bbox\": [1, 188, 34, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>Bos taurus</i>\", \"bbox\": [1, 201, 35, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 201, 141, 210]}, {\"cell\": \"MER000207\", \"bbox\": [195, 201, 234, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 215, 141, 223]}, {\"cell\": \"MER000024\", \"bbox\": [195, 215, 234, 223]}, {\"cell\": \"<i>Eisenia fetida</i>\", \"bbox\": [1, 227, 43, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 228, 145, 236]}, {\"cell\": \"MER011050\", \"bbox\": [195, 228, 234, 236]}, {\"cell\": \"<i>Homo sapiens</i>\", \"bbox\": [1, 241, 46, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 241, 140, 249]}, {\"cell\": \"MER000188\", \"bbox\": [195, 241, 234, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 254, 142, 262]}, {\"cell\": \"MER000136\", \"bbox\": [195, 254, 234, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 267, 142, 275]}, {\"cell\": \"MER000188\", \"bbox\": [195, 267, 234, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 280, 144, 288]}, {\"cell\": \"MER000203\", \"bbox\": [195, 280, 234, 288]}, {\"cell\": \"<i>Mus musculus</i>\", \"bbox\": [1, 293, 46, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 293, 144, 302]}, {\"cell\": \"MER000103\", \"bbox\": [195, 293, 234, 302]}, {\"cell\": \"<i>Rattus rattus</i>\", \"bbox\": [1, 306, 42, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 307, 145, 315]}, {\"cell\": \"MER000030\", \"bbox\": [195, 307, 234, 315]}, {\"cell\": \"<i>Salmo salar</i>\", \"bbox\": [1, 319, 39, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 320, 140, 328]}, {\"cell\": \"MER000035\", \"bbox\": [195, 320, 234, 328]}, {\"cell\": \"<i>Solenopsis invicta</i>\", \"bbox\": [1, 333, 57, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 333, 143, 341]}, {\"cell\": \"MER027244\", \"bbox\": [195, 333, 234, 341]}, {\"cell\": \"<i>Trimeresurus stejnejer</i>\", \"bbox\": [1, 346, 67, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 346, 144, 354]}, {\"cell\": \"MER002805\", \"bbox\": [195, 346, 234, 354]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3434108_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}780{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Microorganism</b></td><td><b>Carbon source</b></td><td><b>SA titer (g L<sup>−1</sup>)</b></td><td><b>SA yield (g g<sup>−1</sup>)</b></td><td><b>SA productivity (g L<sup>−1</sup> h<sup>−1</sup>)</b></td><td><b>References</b></td></tr></thead><tbody><tr><td><i>A. succinogenes</i> GXAS137</td><td>Sugarcane molasses</td><td>64.7</td><td>0.81</td><td>[EMPTY_CELL]</td><td>[32]</td></tr><tr><td><i>C. glutamicum</i> CGMCC1006-Δ<i>ldhA</i></td><td>Sugarcane molasses</td><td>35.1</td><td>0.37</td><td>[EMPTY_CELL]</td><td>[34]</td></tr><tr><td><i>E. coli</i> BA305</td><td>Sugarcane bagasse</td><td>39.3</td><td>N/A</td><td>[EMPTY_CELL]</td><td>[35]</td></tr><tr><td><i>E. coli</i> KJ122</td><td>Cassava pulp</td><td>98.6</td><td>0.72</td><td>[EMPTY_CELL]</td><td>[36]</td></tr><tr><td><i>A. succinogenes</i> ATCC 55618</td><td>Rapeseed meal</td><td>23.4</td><td>N/A</td><td>[EMPTY_CELL]</td><td>[37]</td></tr><tr><td><i>A. succinogenes</i> CGMCC1593</td><td>Wheat straw</td><td>53.2</td><td>N/A</td><td>[EMPTY_CELL]</td><td>[38]</td></tr><tr><td><i>A. succiniciproducens</i></td><td>Whey</td><td>34.7</td><td>0.91</td><td>[EMPTY_CELL]</td><td>[39]</td></tr><tr><td><i>C. glutamicum</i> Δ<i>ldhA</i>-pCRA717</td><td>Glucose</td><td>146</td><td>0.92</td><td>[EMPTY_CELL]</td><td>[41]</td></tr><tr><td><i>A. succinogenes</i> ATCC 55618</td><td>Glycerol</td><td>49.6</td><td>0.87</td><td>[EMPTY_CELL]</td><td>[25]</td></tr><tr><td><i>E. coli</i> E2-Δsdh-ppc-sucAB</td><td>Glycerol</td><td>43.2</td><td>N/A</td><td>[EMPTY_CELL]</td><td>[40]</td></tr><tr><td><i>Y. lipolytica</i> H222-AZ2</td><td>Glycerol</td><td>25</td><td>0.26</td><td>[EMPTY_CELL]</td><td>[5]</td></tr><tr><td><i>Y. lipolytica</i> PGC01003</td><td>Crude glycerol</td><td>160.2</td><td>0.4</td><td>[EMPTY_CELL]</td><td>This study</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Microorganism</b>\", \"bbox\": [1, 4, 55, 14]}, {\"cell\": \"<b>Carbon source</b>\", \"bbox\": [140, 4, 191, 14]}, {\"cell\": \"<b>SA titer (g L<sup>−1</sup>)</b>\", \"bbox\": [235, 3, 286, 14]}, {\"cell\": \"<b>SA yield (g g<sup>−1</sup>)</b>\", \"bbox\": [294, 3, 349, 14]}, {\"cell\": \"<b>SA productivity (g L<sup>−1</sup> h<sup>−1</sup>)</b>\", \"bbox\": [356, 4, 412, 23]}, {\"cell\": \"<b>References</b>\", \"bbox\": [444, 4, 483, 14]}, {\"cell\": \"<i>A. succinogenes</i> GXAS137\", \"bbox\": [1, 31, 82, 41]}, {\"cell\": \"Sugarcane molasses\", \"bbox\": [140, 31, 206, 41]}, {\"cell\": \"64.7\", \"bbox\": [235, 31, 250, 41]}, {\"cell\": \"0.81\", \"bbox\": [294, 31, 309, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 31, 367, 41]}, {\"cell\": \"[32]\", \"bbox\": [444, 31, 458, 41]}, {\"cell\": \"<i>C. glutamicum</i> CGMCC1006-Δ<i>ldhA</i>\", \"bbox\": [1, 43, 111, 53]}, {\"cell\": \"Sugarcane molasses\", \"bbox\": [140, 43, 206, 53]}, {\"cell\": \"35.1\", \"bbox\": [235, 43, 250, 53]}, {\"cell\": \"0.37\", \"bbox\": [294, 43, 309, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 43, 371, 53]}, {\"cell\": \"[34]\", \"bbox\": [444, 43, 458, 53]}, {\"cell\": \"<i>E. coli</i> BA305\", \"bbox\": [1, 56, 42, 65]}, {\"cell\": \"Sugarcane bagasse\", \"bbox\": [140, 56, 203, 65]}, {\"cell\": \"39.3\", \"bbox\": [235, 56, 250, 65]}, {\"cell\": \"N/A\", \"bbox\": [294, 56, 309, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 56, 371, 65]}, {\"cell\": \"[35]\", \"bbox\": [444, 56, 458, 65]}, {\"cell\": \"<i>E. coli</i> KJ122\", \"bbox\": [1, 68, 40, 77]}, {\"cell\": \"Cassava pulp\", \"bbox\": [140, 68, 183, 77]}, {\"cell\": \"98.6\", \"bbox\": [235, 68, 250, 77]}, {\"cell\": \"0.72\", \"bbox\": [294, 68, 309, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 68, 371, 77]}, {\"cell\": \"[36]\", \"bbox\": [444, 68, 458, 77]}, {\"cell\": \"<i>A. succinogenes</i> ATCC 55618\", \"bbox\": [1, 80, 90, 89]}, {\"cell\": \"Rapeseed meal\", \"bbox\": [140, 80, 190, 89]}, {\"cell\": \"23.4\", \"bbox\": [235, 80, 250, 89]}, {\"cell\": \"N/A\", \"bbox\": [294, 80, 309, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 80, 371, 89]}, {\"cell\": \"[37]\", \"bbox\": [444, 80, 458, 89]}, {\"cell\": \"<i>A. succinogenes</i> CGMCC1593\", \"bbox\": [1, 92, 93, 101]}, {\"cell\": \"Wheat straw\", \"bbox\": [140, 92, 181, 101]}, {\"cell\": \"53.2\", \"bbox\": [235, 92, 250, 101]}, {\"cell\": \"N/A\", \"bbox\": [294, 92, 309, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 92, 371, 101]}, {\"cell\": \"[38]\", \"bbox\": [444, 92, 458, 101]}, {\"cell\": \"<i>A. succiniciproducens</i>\", \"bbox\": [1, 104, 67, 113]}, {\"cell\": \"Whey\", \"bbox\": [140, 104, 160, 113]}, {\"cell\": \"34.7\", \"bbox\": [235, 104, 250, 113]}, {\"cell\": \"0.91\", \"bbox\": [294, 104, 309, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 104, 371, 113]}, {\"cell\": \"[39]\", \"bbox\": [444, 104, 458, 113]}, {\"cell\": \"<i>C. glutamicum</i> Δ<i>ldhA</i>-pCRA717\", \"bbox\": [1, 116, 100, 125]}, {\"cell\": \"Glucose\", \"bbox\": [140, 116, 167, 125]}, {\"cell\": \"146\", \"bbox\": [235, 116, 248, 125]}, {\"cell\": \"0.92\", \"bbox\": [294, 116, 309, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 116, 371, 125]}, {\"cell\": \"[41]\", \"bbox\": [444, 116, 458, 125]}, {\"cell\": \"<i>A. succinogenes</i> ATCC 55618\", \"bbox\": [1, 128, 90, 138]}, {\"cell\": \"Glycerol\", \"bbox\": [140, 128, 168, 138]}, {\"cell\": \"49.6\", \"bbox\": [235, 128, 250, 138]}, {\"cell\": \"0.87\", \"bbox\": [294, 128, 309, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 128, 371, 138]}, {\"cell\": \"[25]\", \"bbox\": [444, 128, 458, 138]}, {\"cell\": \"<i>E. coli</i> E2-Δsdh-ppc-sucAB\", \"bbox\": [1, 140, 84, 150]}, {\"cell\": \"Glycerol\", \"bbox\": [140, 140, 168, 150]}, {\"cell\": \"43.2\", \"bbox\": [235, 140, 250, 150]}, {\"cell\": \"N/A\", \"bbox\": [294, 140, 309, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 140, 371, 150]}, {\"cell\": \"[40]\", \"bbox\": [444, 140, 458, 150]}, {\"cell\": \"<i>Y. lipolytica</i> H222-AZ2\", \"bbox\": [1, 152, 70, 162]}, {\"cell\": \"Glycerol\", \"bbox\": [140, 152, 168, 162]}, {\"cell\": \"25\", \"bbox\": [235, 152, 245, 162]}, {\"cell\": \"0.26\", \"bbox\": [294, 152, 309, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 152, 371, 162]}, {\"cell\": \"[5]\", \"bbox\": [444, 152, 454, 162]}, {\"cell\": \"<i>Y. lipolytica</i> PGC01003\", \"bbox\": [1, 164, 71, 174]}, {\"cell\": \"Crude glycerol\", \"bbox\": [140, 164, 188, 174]}, {\"cell\": \"160.2\", \"bbox\": [235, 164, 254, 174]}, {\"cell\": \"0.4\", \"bbox\": [294, 164, 306, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [356, 164, 367, 174]}, {\"cell\": \"This study\", \"bbox\": [444, 164, 478, 174]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5004273_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}781{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Target gene<sup>a</sup></b></td><td><b>MicroRNA</b></td><td><b>Number of miRNAs</b></td></tr></thead><tbody><tr><td><i>CCND1</i></td><td>[EMPTY_CELL]</td><td>5</td></tr><tr><td><i>BCL2</i></td><td>[EMPTY_CELL]</td><td>4</td></tr><tr><td><i>PURA</i></td><td>[EMPTY_CELL]</td><td>4</td></tr><tr><td><i>APP</i></td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td><i>CCND2</i></td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td><i>CCNE1</i></td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td><i>PTEN</i></td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td><i>RB1</i></td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td><i>WEE1</i></td><td>[EMPTY_CELL]</td><td>3</td></tr><tr><td><i>ADAM9</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>AKT3</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>BMI1</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>BRCA1</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>CADM1</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>CDK6</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>CDKN1A</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>CHORDC1</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>CHUK</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>E2F1</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>E2F3</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>HMGA1</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>HMGA2</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>IFNG</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>IGF1R</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>PTGS2</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>RBL1</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>RBL2</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>STAT3</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>SMAD7</i></td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td><i>VEGFA</i></td><td>[EMPTY_CELL]</td><td>2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Target gene<sup>a</sup></b>\", \"bbox\": [1, 7, 24, 24]}, {\"cell\": \"<b>MicroRNA</b>\", \"bbox\": [41, 7, 77, 15]}, {\"cell\": \"<b>Number of miRNAs</b>\", \"bbox\": [209, 7, 246, 24]}, {\"cell\": \"<i>CCND1</i>\", \"bbox\": [1, 33, 26, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 33, 191, 51]}, {\"cell\": \"5\", \"bbox\": [225, 33, 231, 40]}, {\"cell\": \"<i>BCL2</i>\", \"bbox\": [1, 52, 20, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 52, 201, 70]}, {\"cell\": \"4\", \"bbox\": [225, 52, 231, 59]}, {\"cell\": \"<i>PURA</i>\", \"bbox\": [1, 71, 21, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 71, 202, 89]}, {\"cell\": \"4\", \"bbox\": [225, 71, 231, 78]}, {\"cell\": \"<i>APP</i>\", \"bbox\": [1, 90, 16, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 90, 203, 98]}, {\"cell\": \"3\", \"bbox\": [225, 90, 231, 97]}, {\"cell\": \"<i>CCND2</i>\", \"bbox\": [1, 99, 26, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 99, 203, 108]}, {\"cell\": \"3\", \"bbox\": [225, 100, 231, 107]}, {\"cell\": \"<i>CCNE1</i>\", \"bbox\": [1, 109, 25, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 109, 196, 117]}, {\"cell\": \"3\", \"bbox\": [225, 109, 231, 116]}, {\"cell\": \"<i>PTEN</i>\", \"bbox\": [1, 118, 20, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 118, 204, 127]}, {\"cell\": \"3\", \"bbox\": [225, 119, 231, 126]}, {\"cell\": \"<i>RB1</i>\", \"bbox\": [1, 128, 16, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 128, 204, 136]}, {\"cell\": \"3\", \"bbox\": [225, 128, 231, 135]}, {\"cell\": \"<i>WEE1</i>\", \"bbox\": [1, 137, 21, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 137, 200, 146]}, {\"cell\": \"3\", \"bbox\": [225, 138, 231, 145]}, {\"cell\": \"<i>ADAM9</i>\", \"bbox\": [1, 147, 26, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 147, 146, 155]}, {\"cell\": \"2\", \"bbox\": [225, 147, 231, 154]}, {\"cell\": \"<i>AKT3</i>\", \"bbox\": [1, 156, 19, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 156, 142, 165]}, {\"cell\": \"2\", \"bbox\": [225, 157, 231, 164]}, {\"cell\": \"<i>BMI1</i>\", \"bbox\": [1, 166, 19, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 166, 142, 174]}, {\"cell\": \"2\", \"bbox\": [225, 166, 231, 173]}, {\"cell\": \"<i>BRCA1</i>\", \"bbox\": [1, 175, 25, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 175, 142, 184]}, {\"cell\": \"2\", \"bbox\": [225, 176, 231, 183]}, {\"cell\": \"<i>CADM1</i>\", \"bbox\": [1, 185, 27, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 185, 142, 193]}, {\"cell\": \"2\", \"bbox\": [225, 185, 231, 192]}, {\"cell\": \"<i>CDK6</i>\", \"bbox\": [1, 194, 21, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 194, 142, 203]}, {\"cell\": \"2\", \"bbox\": [225, 195, 231, 202]}, {\"cell\": \"<i>CDKN1A</i>\", \"bbox\": [1, 204, 30, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 204, 150, 212]}, {\"cell\": \"2\", \"bbox\": [225, 204, 231, 211]}, {\"cell\": \"<i>CHORDC1</i>\", \"bbox\": [1, 213, 36, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 213, 142, 222]}, {\"cell\": \"2\", \"bbox\": [225, 214, 231, 221]}, {\"cell\": \"<i>CHUK</i>\", \"bbox\": [1, 223, 22, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 223, 142, 231]}, {\"cell\": \"2\", \"bbox\": [225, 223, 231, 230]}, {\"cell\": \"<i>E2F1</i>\", \"bbox\": [1, 232, 18, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 232, 150, 241]}, {\"cell\": \"2\", \"bbox\": [225, 233, 231, 240]}, {\"cell\": \"<i>E2F3</i>\", \"bbox\": [1, 242, 18, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 242, 150, 250]}, {\"cell\": \"2\", \"bbox\": [225, 242, 231, 249]}, {\"cell\": \"<i>HMGA1</i>\", \"bbox\": [1, 251, 27, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 251, 142, 260]}, {\"cell\": \"2\", \"bbox\": [225, 252, 231, 259]}, {\"cell\": \"<i>HMGA2</i>\", \"bbox\": [1, 261, 27, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 261, 142, 269]}, {\"cell\": \"2\", \"bbox\": [225, 261, 231, 268]}, {\"cell\": \"<i>IFNG</i>\", \"bbox\": [1, 270, 18, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 270, 142, 279]}, {\"cell\": \"2\", \"bbox\": [225, 271, 231, 278]}, {\"cell\": \"<i>IGF1R</i>\", \"bbox\": [1, 280, 22, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 280, 142, 288]}, {\"cell\": \"2\", \"bbox\": [225, 280, 231, 287]}, {\"cell\": \"<i>PTGS2</i>\", \"bbox\": [1, 289, 24, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 289, 142, 298]}, {\"cell\": \"2\", \"bbox\": [225, 290, 231, 297]}, {\"cell\": \"<i>RBL1</i>\", \"bbox\": [1, 299, 20, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 299, 150, 307]}, {\"cell\": \"2\", \"bbox\": [225, 299, 231, 306]}, {\"cell\": \"<i>RBL2</i>\", \"bbox\": [1, 308, 20, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 308, 150, 317]}, {\"cell\": \"2\", \"bbox\": [225, 309, 231, 316]}, {\"cell\": \"<i>STAT3</i>\", \"bbox\": [1, 318, 22, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 318, 150, 326]}, {\"cell\": \"2\", \"bbox\": [225, 318, 231, 325]}, {\"cell\": \"<i>SMAD7</i>\", \"bbox\": [1, 327, 26, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 327, 150, 336]}, {\"cell\": \"2\", \"bbox\": [225, 328, 231, 335]}, {\"cell\": \"<i>VEGFA</i>\", \"bbox\": [1, 337, 24, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [41, 337, 146, 345]}, {\"cell\": \"2\", \"bbox\": [225, 337, 231, 344]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5854644_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}782{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Subgroup</b></td><td><b>Number of studies</b></td><td><b>Pooled RR(95% CI)</b></td><td colspan=\\\"2\\\"><b>Q-test for heterogeneity</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>P value</b></td><td><b><i>I<sup>2 </sup></i>score</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Study design</td></tr><tr><td>Cohort studies</td><td>5</td><td>0.84 (0.42, 1.26)</td><td>[EMPTY_CELL]</td><td>64.8%</td></tr><tr><td>Case-control studies</td><td>9</td><td>0.87 (0.54, 1.21)</td><td>[EMPTY_CELL]</td><td>89.7%</td></tr><tr><td>Hospital-based case-control studies</td><td>6</td><td>0.88 (0.40, 1.36)</td><td>[EMPTY_CELL]</td><td>92.5%</td></tr><tr><td>Population-based case-control studies</td><td>3</td><td>0.83 (0.63, 1.03)</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td colspan=\\\"5\\\">Geographical region</td></tr><tr><td>Europe</td><td>7</td><td>0.95 (0.49, 1.42)</td><td>[EMPTY_CELL]</td><td>91.9%</td></tr><tr><td>US/Canada</td><td>3</td><td>0.80 (0.58, 1.02)</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td>Japan</td><td>3</td><td>0.76 (0.25, 1.27)</td><td>[EMPTY_CELL]</td><td>74.7%</td></tr><tr><td colspan=\\\"5\\\">Exposure assessment</td></tr><tr><td>Interview</td><td>6</td><td>0.88 (0.40, 1.36)</td><td>[EMPTY_CELL]</td><td>92.5%</td></tr><tr><td>Mailed questionnaire</td><td>7</td><td>0.84 (0.58, 1.09)</td><td>[EMPTY_CELL]</td><td>58.5%</td></tr><tr><td colspan=\\\"5\\\">Case sample size</td></tr><tr><td>Large</td><td>7</td><td>0.99 (0.82, 1.17)</td><td>[EMPTY_CELL]</td><td>28.0%</td></tr><tr><td>Small</td><td>7</td><td>0.68 (0.34, 1.02)</td><td>[EMPTY_CELL]</td><td>81.4%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Subgroup</b>\", \"bbox\": [1, 4, 37, 13]}, {\"cell\": \"<b>Number of studies</b>\", \"bbox\": [157, 4, 224, 13]}, {\"cell\": \"<b>Pooled RR(95% CI)</b>\", \"bbox\": [256, 4, 294, 22]}, {\"cell\": \"<b>Q-test for heterogeneity</b>\", \"bbox\": [340, 4, 427, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>P value</b>\", \"bbox\": [340, 25, 368, 34]}, {\"cell\": \"<b><i>I<sup>2 </sup></i>score</b>\", \"bbox\": [414, 24, 442, 34]}, {\"cell\": \"Study design\", \"bbox\": [1, 38, 44, 48]}, {\"cell\": \"Cohort studies\", \"bbox\": [1, 50, 49, 60]}, {\"cell\": \"5\", \"bbox\": [157, 50, 163, 60]}, {\"cell\": \"0.84 (0.42, 1.26)\", \"bbox\": [256, 50, 307, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 50, 359, 60]}, {\"cell\": \"64.8%\", \"bbox\": [414, 50, 435, 60]}, {\"cell\": \"Case-control studies\", \"bbox\": [1, 62, 67, 72]}, {\"cell\": \"9\", \"bbox\": [157, 62, 163, 72]}, {\"cell\": \"0.87 (0.54, 1.21)\", \"bbox\": [256, 62, 307, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 62, 366, 72]}, {\"cell\": \"89.7%\", \"bbox\": [414, 62, 435, 72]}, {\"cell\": \"Hospital-based case-control studies\", \"bbox\": [1, 74, 115, 83]}, {\"cell\": \"6\", \"bbox\": [157, 74, 163, 83]}, {\"cell\": \"0.88 (0.40, 1.36)\", \"bbox\": [256, 74, 307, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 74, 366, 83]}, {\"cell\": \"92.5%\", \"bbox\": [414, 74, 435, 83]}, {\"cell\": \"Population-based case-control studies\", \"bbox\": [1, 86, 124, 95]}, {\"cell\": \"3\", \"bbox\": [157, 86, 163, 95]}, {\"cell\": \"0.83 (0.63, 1.03)\", \"bbox\": [256, 86, 307, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 86, 359, 95]}, {\"cell\": \"0\", \"bbox\": [414, 86, 420, 95]}, {\"cell\": \"Geographical region\", \"bbox\": [1, 98, 68, 107]}, {\"cell\": \"Europe\", \"bbox\": [1, 110, 25, 119]}, {\"cell\": \"7\", \"bbox\": [157, 110, 163, 119]}, {\"cell\": \"0.95 (0.49, 1.42)\", \"bbox\": [256, 110, 307, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 110, 366, 119]}, {\"cell\": \"91.9%\", \"bbox\": [414, 110, 435, 119]}, {\"cell\": \"US/Canada\", \"bbox\": [1, 122, 38, 131]}, {\"cell\": \"3\", \"bbox\": [157, 122, 163, 131]}, {\"cell\": \"0.80 (0.58, 1.02)\", \"bbox\": [256, 122, 307, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 122, 359, 131]}, {\"cell\": \"0\", \"bbox\": [414, 122, 420, 131]}, {\"cell\": \"Japan\", \"bbox\": [1, 134, 21, 143]}, {\"cell\": \"3\", \"bbox\": [157, 134, 163, 143]}, {\"cell\": \"0.76 (0.25, 1.27)\", \"bbox\": [256, 134, 307, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 134, 359, 143]}, {\"cell\": \"74.7%\", \"bbox\": [414, 134, 435, 143]}, {\"cell\": \"Exposure assessment\", \"bbox\": [1, 146, 70, 155]}, {\"cell\": \"Interview\", \"bbox\": [1, 158, 32, 167]}, {\"cell\": \"6\", \"bbox\": [157, 158, 163, 167]}, {\"cell\": \"0.88 (0.40, 1.36)\", \"bbox\": [256, 158, 307, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 158, 366, 167]}, {\"cell\": \"92.5%\", \"bbox\": [414, 158, 435, 167]}, {\"cell\": \"Mailed questionnaire\", \"bbox\": [1, 170, 69, 179]}, {\"cell\": \"7\", \"bbox\": [157, 170, 163, 179]}, {\"cell\": \"0.84 (0.58, 1.09)\", \"bbox\": [256, 170, 307, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 170, 359, 179]}, {\"cell\": \"58.5%\", \"bbox\": [414, 170, 435, 179]}, {\"cell\": \"Case sample size\", \"bbox\": [1, 182, 57, 191]}, {\"cell\": \"Large\", \"bbox\": [1, 194, 20, 203]}, {\"cell\": \"7\", \"bbox\": [157, 194, 163, 203]}, {\"cell\": \"0.99 (0.82, 1.17)\", \"bbox\": [256, 194, 307, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 194, 359, 203]}, {\"cell\": \"28.0%\", \"bbox\": [414, 194, 435, 203]}, {\"cell\": \"Small\", \"bbox\": [1, 206, 20, 215]}, {\"cell\": \"7\", \"bbox\": [157, 206, 163, 215]}, {\"cell\": \"0.68 (0.34, 1.02)\", \"bbox\": [256, 206, 307, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 206, 366, 215]}, {\"cell\": \"81.4%\", \"bbox\": [414, 206, 435, 215]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3182909_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}783{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Function</b></td><td><b>Tests</b></td><td><b>Score</b></td></tr></thead><tbody><tr><td rowspan=\\\"3\\\"><b>Orientation</b></td><td>[EMPTY_CELL]</td><td>0-1-2-3-4</td></tr><tr><td>Name of parents, state, city, place</td><td>[EMPTY_CELL]</td></tr><tr><td>Age, month, day of month, day of week</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Object naming</b></td><td>[EMPTY_CELL]</td><td>0-1-2-3</td></tr><tr><td rowspan=\\\"4\\\"><b>Digit span – forward</b></td><td>[EMPTY_CELL]</td><td>0-1-2-3-4</td></tr><tr><td>4-7-2</td><td>[EMPTY_CELL]</td></tr><tr><td>5-9-3-1</td><td>[EMPTY_CELL]</td></tr><tr><td>2-7-5-9-4</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\"><b>Digit span – backward</b></td><td>[EMPTY_CELL]</td><td>0-1-2-3</td></tr><tr><td>2-9-5</td><td>[EMPTY_CELL]</td></tr><tr><td>4-1-9-7</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Recall</b></td><td>[EMPTY_CELL]</td><td>0-1-2-3</td></tr><tr><td><b>Naming body parts</b></td><td>[EMPTY_CELL]</td><td>0-1-2-3-4-5</td></tr><tr><td><b>Command</b></td><td>[EMPTY_CELL]</td><td>0-1-2-3</td></tr><tr><td><b>Verbal string repetition</b></td><td>[EMPTY_CELL]</td><td>0-1</td></tr><tr><td><b>Reading</b></td><td>[EMPTY_CELL]</td><td>0-1</td></tr><tr><td><b>Writing</b></td><td>[EMPTY_CELL]</td><td>0-1</td></tr><tr><td><b>Constructional praxis</b></td><td>[EMPTY_CELL]</td><td>0-1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>37</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Function</b>\", \"bbox\": [4, 9, 37, 20]}, {\"cell\": \"<b>Tests</b>\", \"bbox\": [98, 9, 118, 20]}, {\"cell\": \"<b>Score</b>\", \"bbox\": [433, 9, 454, 20]}, {\"cell\": \"<b>Orientation</b>\", \"bbox\": [4, 33, 45, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 33, 181, 44]}, {\"cell\": \"0-1-2-3-4\", \"bbox\": [433, 33, 468, 44]}, {\"cell\": \"Name of parents, state, city, place\", \"bbox\": [98, 57, 208, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 57, 468, 68]}, {\"cell\": \"Age, month, day of month, day of week\", \"bbox\": [98, 82, 225, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [433, 82, 468, 92]}, {\"cell\": \"<b>Object naming</b>\", \"bbox\": [4, 106, 57, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 106, 163, 116]}, {\"cell\": \"0-1-2-3\", \"bbox\": [433, 106, 461, 116]}, {\"cell\": \"<b>Digit span – forward</b>\", \"bbox\": [4, 130, 77, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 130, 114, 140]}, {\"cell\": \"0-1-2-3-4\", \"bbox\": [433, 130, 468, 140]}, {\"cell\": \"4-7-2\", \"bbox\": [98, 154, 119, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5-9-3-1\", \"bbox\": [98, 178, 126, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2-7-5-9-4\", \"bbox\": [98, 202, 133, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Digit span – backward</b>\", \"bbox\": [4, 226, 84, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 226, 112, 237]}, {\"cell\": \"0-1-2-3\", \"bbox\": [433, 226, 461, 237]}, {\"cell\": \"2-9-5\", \"bbox\": [98, 250, 119, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4-1-9-7\", \"bbox\": [98, 274, 126, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Recall</b>\", \"bbox\": [4, 299, 28, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 298, 163, 309]}, {\"cell\": \"0-1-2-3\", \"bbox\": [433, 298, 461, 309]}, {\"cell\": \"<b>Naming body parts</b>\", \"bbox\": [4, 323, 72, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 323, 330, 333]}, {\"cell\": \"0-1-2-3-4-5\", \"bbox\": [433, 323, 475, 333]}, {\"cell\": \"<b>Command</b>\", \"bbox\": [4, 347, 42, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 347, 403, 368]}, {\"cell\": \"0-1-2-3\", \"bbox\": [433, 347, 461, 357]}, {\"cell\": \"<b>Verbal string repetition</b>\", \"bbox\": [4, 382, 85, 392]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 382, 281, 392]}, {\"cell\": \"0-1\", \"bbox\": [433, 382, 446, 392]}, {\"cell\": \"<b>Reading</b>\", \"bbox\": [4, 406, 35, 416]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 406, 264, 416]}, {\"cell\": \"0-1\", \"bbox\": [433, 406, 446, 416]}, {\"cell\": \"<b>Writing</b>\", \"bbox\": [4, 430, 32, 440]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 430, 160, 440]}, {\"cell\": \"0-1\", \"bbox\": [433, 430, 446, 440]}, {\"cell\": \"<b>Constructional praxis</b>\", \"bbox\": [4, 454, 80, 464]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [98, 454, 414, 475]}, {\"cell\": \"0-1\", \"bbox\": [433, 454, 446, 464]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 489, 427, 499]}, {\"cell\": \"<b>37</b>\", \"bbox\": [433, 489, 443, 499]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5674673_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}784{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Nucleotide change</b></td><td><b>Gene region</b></td><td><b>Wt</b></td><td><b>Mt</b></td><td><b>Predicted function</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>c.-251C>T</td><td>5′-UTR</td><td>GCTTCCGG</td><td>GCTTCTGG</td><td>No</td><td>[EMPTY_CELL]</td></tr><tr><td>c.-248C>T</td><td>5′-UTR</td><td>GCTTCCGG</td><td>GTTTCCGG</td><td>Deletion of Ets-1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CTTCCGGAA</td><td>TTTCCGGAA</td><td>Addition of CNTF</td><td>[EMPTY_CELL]</td></tr><tr><td>c.783+27T>A</td><td>Intron 3</td><td>CAGCCTCCTCTGGG</td><td>CAGCCTCCTCAGGG</td><td>Splicing activity increased by 49.02%</td><td>[EMPTY_CELL]</td></tr><tr><td>c.997+100C>T</td><td>Intron 5</td><td>CCGGGCCGCCAGGG</td><td>CCGGGCCGCTAGGG</td><td>Splicing activity decreased by 9.15%</td><td>[EMPTY_CELL]</td></tr><tr><td>c.1004C>A</td><td>Exon6</td><td>TCCTTCAGGCA</td><td>TCCTTAAGGCA</td><td>p.S335X</td><td>[EMPTY_CELL]</td></tr><tr><td>c.*645G>A</td><td>3′-UTR</td><td>GCCGGC</td><td>GCCAGC</td><td>Addition of Swi5</td><td>[EMPTY_CELL]</td></tr><tr><td>*17T>G</td><td>3′-UTR</td><td>CCTTAGTGGT</td><td>CCTTAGTGGG</td><td>Addition of Mef2a</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Nucleotide change</b>\", \"bbox\": [20, 5, 81, 14]}, {\"cell\": \"<b>Gene region</b>\", \"bbox\": [92, 5, 133, 14]}, {\"cell\": \"<b>Wt</b>\", \"bbox\": [162, 5, 174, 14]}, {\"cell\": \"<b>Mt</b>\", \"bbox\": [253, 5, 264, 14]}, {\"cell\": \"<b>Predicted function</b>\", \"bbox\": [325, 5, 386, 14]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [405, 5, 439, 14]}, {\"cell\": \"c.-251C>T\", \"bbox\": [20, 17, 57, 26]}, {\"cell\": \"5′-UTR\", \"bbox\": [99, 17, 126, 26]}, {\"cell\": \"GCTTCCGG\", \"bbox\": [144, 17, 189, 26]}, {\"cell\": \"GCTTCTGG\", \"bbox\": [235, 17, 280, 26]}, {\"cell\": \"No\", \"bbox\": [325, 17, 337, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 17, 417, 26]}, {\"cell\": \"c.-248C>T\", \"bbox\": [20, 29, 57, 38]}, {\"cell\": \"5′-UTR\", \"bbox\": [99, 29, 126, 38]}, {\"cell\": \"GCTTCCGG\", \"bbox\": [144, 29, 189, 38]}, {\"cell\": \"GTTTCCGG\", \"bbox\": [235, 29, 280, 38]}, {\"cell\": \"Deletion of Ets-1\", \"bbox\": [325, 29, 382, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 27, 442, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTTCCGGAA\", \"bbox\": [144, 41, 195, 50]}, {\"cell\": \"TTTCCGGAA\", \"bbox\": [235, 41, 285, 50]}, {\"cell\": \"Addition of CNTF\", \"bbox\": [325, 41, 387, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 39, 452, 50]}, {\"cell\": \"c.783+27T>A\", \"bbox\": [20, 53, 67, 62]}, {\"cell\": \"Intron 3\", \"bbox\": [99, 53, 126, 62]}, {\"cell\": \"CAGCCTCCTCTGGG\", \"bbox\": [144, 53, 222, 62]}, {\"cell\": \"CAGCCTCCTCAGGG\", \"bbox\": [235, 53, 313, 62]}, {\"cell\": \"Splicing activity increased by 49.02%\", \"bbox\": [325, 53, 394, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 53, 417, 62]}, {\"cell\": \"c.997+100C>T\", \"bbox\": [20, 77, 70, 86]}, {\"cell\": \"Intron 5\", \"bbox\": [99, 77, 126, 86]}, {\"cell\": \"CCGGGCCGCCAGGG\", \"bbox\": [144, 77, 224, 86]}, {\"cell\": \"CCGGGCCGCTAGGG\", \"bbox\": [235, 77, 315, 86]}, {\"cell\": \"Splicing activity decreased by 9.15%\", \"bbox\": [325, 77, 392, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 77, 417, 86]}, {\"cell\": \"c.1004C>A\", \"bbox\": [20, 101, 59, 110]}, {\"cell\": \"Exon6\", \"bbox\": [100, 101, 125, 110]}, {\"cell\": \"TCCTTCAGGCA\", \"bbox\": [144, 101, 205, 110]}, {\"cell\": \"TCCTTAAGGCA\", \"bbox\": [235, 101, 297, 110]}, {\"cell\": \"p.S335X\", \"bbox\": [325, 101, 356, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"c.*645G>A\", \"bbox\": [20, 113, 59, 122]}, {\"cell\": \"3′-UTR\", \"bbox\": [99, 113, 126, 122]}, {\"cell\": \"GCCGGC\", \"bbox\": [144, 113, 180, 122]}, {\"cell\": \"GCCAGC\", \"bbox\": [235, 113, 270, 122]}, {\"cell\": \"Addition of Swi5\", \"bbox\": [325, 113, 383, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 113, 417, 122]}, {\"cell\": \"*17T>G\", \"bbox\": [20, 125, 49, 134]}, {\"cell\": \"3′-UTR\", \"bbox\": [99, 125, 126, 134]}, {\"cell\": \"CCTTAGTGGT\", \"bbox\": [144, 125, 200, 134]}, {\"cell\": \"CCTTAGTGGG\", \"bbox\": [235, 125, 291, 134]}, {\"cell\": \"Addition of Mef2a\", \"bbox\": [325, 125, 387, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 123, 470, 134]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3596722_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}785{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Men (N = 838)</b></td><td colspan=\\\"2\\\"><b>Women (N = 1,121)</b></td><td colspan=\\\"2\\\"><b>All (N = 1,959)</b></td></tr><tr><td><b>N</b></td><td><b>%</b></td><td><b>N</b></td><td><b>%</b></td><td><b>N</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>BP + HDL + TRIG*</td><td>241</td><td>28.76</td><td>132</td><td>11.78</td><td>373</td><td>[EMPTY_CELL]</td></tr><tr><td>BP + HDL + GLU*</td><td>44</td><td>5.25</td><td>18</td><td>1.61</td><td>62</td><td>[EMPTY_CELL]</td></tr><tr><td>BP + HDL + WAIST*</td><td>68</td><td>8.11</td><td>269</td><td>24</td><td>337</td><td>[EMPTY_CELL]</td></tr><tr><td>BP + TRIG + GLU</td><td>53</td><td>6.32</td><td>10</td><td>0.89</td><td>63</td><td>[EMPTY_CELL]</td></tr><tr><td>BP + TRIG + WAIST</td><td>52</td><td>6.21</td><td>62</td><td>5.53</td><td>114</td><td>[EMPTY_CELL]</td></tr><tr><td>BP + GLU + WAIST</td><td>79</td><td>9.43</td><td>121</td><td>10.79</td><td>200</td><td>[EMPTY_CELL]</td></tr><tr><td>HDL + TRIG + GLU</td><td>15</td><td>1.79</td><td>7</td><td>0.62</td><td>22</td><td>[EMPTY_CELL]</td></tr><tr><td>HDL + TRIG + WAIST*</td><td>10</td><td>1.19</td><td>48</td><td>4.28</td><td>58</td><td>[EMPTY_CELL]</td></tr><tr><td>HDL + GLU + WAIST</td><td>1</td><td>0.12</td><td>14</td><td>1.25</td><td>15</td><td>[EMPTY_CELL]</td></tr><tr><td>TRIG + GLU + WAIST</td><td>2</td><td>0.24</td><td>3</td><td>0.27</td><td>5</td><td>[EMPTY_CELL]</td></tr><tr><td>BP + HDL + TRIG + GLU*</td><td>72</td><td>8.59</td><td>26</td><td>2.32</td><td>98</td><td>[EMPTY_CELL]</td></tr><tr><td>BP + HDL + TRIG + WAIST*</td><td>76</td><td>9.07</td><td>190</td><td>16.95</td><td>266</td><td>[EMPTY_CELL]</td></tr><tr><td>BP + HDL + GLU + WAIST</td><td>24</td><td>2.86</td><td>77</td><td>6.87</td><td>101</td><td>[EMPTY_CELL]</td></tr><tr><td>BP + TRIG + GLU + WAIST</td><td>30</td><td>3.58</td><td>20</td><td>1.78</td><td>50</td><td>[EMPTY_CELL]</td></tr><tr><td>HDL + TRIG + GLU + WAIST</td><td>7</td><td>0.84</td><td>7</td><td>0.62</td><td>14</td><td>[EMPTY_CELL]</td></tr><tr><td>BP + HDL + WAIST + TRIG + GLU</td><td>64</td><td>7.64</td><td>117</td><td>10.44</td><td>181</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Men (N = 838)</b>\", \"bbox\": [156, 4, 208, 13]}, {\"cell\": \"<b>Women (N = 1,121)</b>\", \"bbox\": [281, 4, 350, 13]}, {\"cell\": \"<b>All (N = 1,959)</b>\", \"bbox\": [405, 4, 457, 13]}, {\"cell\": \"<b>N</b>\", \"bbox\": [156, 20, 164, 29]}, {\"cell\": \"<b>%</b>\", \"bbox\": [216, 20, 225, 29]}, {\"cell\": \"<b>N</b>\", \"bbox\": [281, 20, 288, 29]}, {\"cell\": \"<b>%</b>\", \"bbox\": [340, 20, 349, 29]}, {\"cell\": \"<b>N</b>\", \"bbox\": [405, 20, 413, 29]}, {\"cell\": \"<b>%</b>\", \"bbox\": [465, 20, 474, 29]}, {\"cell\": \"BP + HDL + TRIG*\", \"bbox\": [1, 38, 61, 47]}, {\"cell\": \"241\", \"bbox\": [156, 38, 170, 46]}, {\"cell\": \"28.76\", \"bbox\": [216, 38, 235, 46]}, {\"cell\": \"132\", \"bbox\": [281, 38, 295, 46]}, {\"cell\": \"11.78\", \"bbox\": [340, 38, 359, 46]}, {\"cell\": \"373\", \"bbox\": [405, 38, 419, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 38, 484, 46]}, {\"cell\": \"BP + HDL + GLU*\", \"bbox\": [1, 50, 60, 59]}, {\"cell\": \"44\", \"bbox\": [160, 50, 170, 58]}, {\"cell\": \"5.25\", \"bbox\": [220, 50, 235, 58]}, {\"cell\": \"18\", \"bbox\": [285, 50, 295, 58]}, {\"cell\": \"1.61\", \"bbox\": [344, 50, 359, 58]}, {\"cell\": \"62\", \"bbox\": [409, 50, 419, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 50, 484, 58]}, {\"cell\": \"BP + HDL + WAIST*\", \"bbox\": [1, 63, 67, 71]}, {\"cell\": \"68\", \"bbox\": [160, 63, 170, 70]}, {\"cell\": \"8.11\", \"bbox\": [220, 63, 235, 70]}, {\"cell\": \"269\", \"bbox\": [281, 63, 295, 70]}, {\"cell\": \"24\", \"bbox\": [340, 63, 350, 70]}, {\"cell\": \"337\", \"bbox\": [405, 63, 419, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 63, 480, 70]}, {\"cell\": \"BP + TRIG + GLU\", \"bbox\": [1, 75, 58, 83]}, {\"cell\": \"53\", \"bbox\": [160, 75, 170, 82]}, {\"cell\": \"6.32\", \"bbox\": [220, 75, 235, 82]}, {\"cell\": \"10\", \"bbox\": [285, 75, 295, 82]}, {\"cell\": \"0.89\", \"bbox\": [344, 75, 359, 82]}, {\"cell\": \"63\", \"bbox\": [409, 75, 419, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 75, 484, 82]}, {\"cell\": \"BP + TRIG + WAIST\", \"bbox\": [1, 87, 64, 95]}, {\"cell\": \"52\", \"bbox\": [160, 87, 170, 94]}, {\"cell\": \"6.21\", \"bbox\": [220, 87, 235, 94]}, {\"cell\": \"62\", \"bbox\": [285, 87, 295, 94]}, {\"cell\": \"5.53\", \"bbox\": [344, 87, 359, 94]}, {\"cell\": \"114\", \"bbox\": [405, 87, 419, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 87, 484, 94]}, {\"cell\": \"BP + GLU + WAIST\", \"bbox\": [1, 99, 63, 107]}, {\"cell\": \"79\", \"bbox\": [160, 99, 170, 107]}, {\"cell\": \"9.43\", \"bbox\": [220, 99, 235, 107]}, {\"cell\": \"121\", \"bbox\": [281, 99, 295, 107]}, {\"cell\": \"10.79\", \"bbox\": [340, 99, 359, 107]}, {\"cell\": \"200\", \"bbox\": [405, 99, 419, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 99, 484, 107]}, {\"cell\": \"HDL + TRIG + GLU\", \"bbox\": [1, 111, 63, 119]}, {\"cell\": \"15\", \"bbox\": [160, 111, 170, 119]}, {\"cell\": \"1.79\", \"bbox\": [220, 111, 235, 119]}, {\"cell\": \"7\", \"bbox\": [289, 111, 295, 119]}, {\"cell\": \"0.62\", \"bbox\": [344, 111, 359, 119]}, {\"cell\": \"22\", \"bbox\": [409, 111, 419, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 111, 484, 119]}, {\"cell\": \"HDL + TRIG + WAIST*\", \"bbox\": [1, 123, 73, 131]}, {\"cell\": \"10\", \"bbox\": [160, 123, 170, 131]}, {\"cell\": \"1.19\", \"bbox\": [220, 123, 235, 131]}, {\"cell\": \"48\", \"bbox\": [285, 123, 295, 131]}, {\"cell\": \"4.28\", \"bbox\": [344, 123, 359, 131]}, {\"cell\": \"58\", \"bbox\": [409, 123, 419, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 123, 484, 131]}, {\"cell\": \"HDL + GLU + WAIST\", \"bbox\": [1, 135, 69, 143]}, {\"cell\": \"1\", \"bbox\": [164, 135, 170, 143]}, {\"cell\": \"0.12\", \"bbox\": [220, 135, 235, 143]}, {\"cell\": \"14\", \"bbox\": [285, 135, 294, 143]}, {\"cell\": \"1.25\", \"bbox\": [344, 135, 359, 143]}, {\"cell\": \"15\", \"bbox\": [409, 135, 419, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 135, 484, 143]}, {\"cell\": \"TRIG + GLU + WAIST\", \"bbox\": [1, 147, 69, 155]}, {\"cell\": \"2\", \"bbox\": [164, 147, 170, 155]}, {\"cell\": \"0.24\", \"bbox\": [220, 147, 235, 155]}, {\"cell\": \"3\", \"bbox\": [289, 147, 294, 155]}, {\"cell\": \"0.27\", \"bbox\": [344, 147, 359, 155]}, {\"cell\": \"5\", \"bbox\": [413, 147, 419, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 147, 484, 155]}, {\"cell\": \"BP + HDL + TRIG + GLU*\", \"bbox\": [1, 159, 84, 168]}, {\"cell\": \"72\", \"bbox\": [160, 159, 170, 167]}, {\"cell\": \"8.59\", \"bbox\": [220, 159, 235, 167]}, {\"cell\": \"26\", \"bbox\": [285, 159, 294, 167]}, {\"cell\": \"2.32\", \"bbox\": [344, 159, 359, 167]}, {\"cell\": \"98\", \"bbox\": [409, 159, 419, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 159, 475, 167]}, {\"cell\": \"BP + HDL + TRIG + WAIST*\", \"bbox\": [1, 171, 90, 180]}, {\"cell\": \"76\", \"bbox\": [160, 171, 170, 179]}, {\"cell\": \"9.07\", \"bbox\": [220, 171, 235, 179]}, {\"cell\": \"190\", \"bbox\": [281, 171, 294, 179]}, {\"cell\": \"16.95\", \"bbox\": [340, 171, 359, 179]}, {\"cell\": \"266\", \"bbox\": [405, 171, 419, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [465, 171, 484, 179]}, {\"cell\": \"BP + HDL + GLU + WAIST\", \"bbox\": [1, 184, 86, 192]}, {\"cell\": \"24\", \"bbox\": [160, 184, 170, 191]}, {\"cell\": \"2.86\", \"bbox\": [220, 184, 235, 191]}, {\"cell\": \"77\", \"bbox\": [285, 184, 294, 191]}, {\"cell\": \"6.87\", \"bbox\": [344, 184, 359, 191]}, {\"cell\": \"101\", \"bbox\": [405, 184, 419, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 184, 484, 191]}, {\"cell\": \"BP + TRIG + GLU + WAIST\", \"bbox\": [1, 196, 87, 204]}, {\"cell\": \"30\", \"bbox\": [160, 196, 170, 203]}, {\"cell\": \"3.58\", \"bbox\": [220, 196, 235, 203]}, {\"cell\": \"20\", \"bbox\": [285, 196, 294, 203]}, {\"cell\": \"1.78\", \"bbox\": [344, 196, 359, 203]}, {\"cell\": \"50\", \"bbox\": [409, 196, 419, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 196, 484, 203]}, {\"cell\": \"HDL + TRIG + GLU + WAIST\", \"bbox\": [1, 208, 93, 216]}, {\"cell\": \"7\", \"bbox\": [164, 208, 170, 215]}, {\"cell\": \"0.84\", \"bbox\": [220, 208, 235, 215]}, {\"cell\": \"7\", \"bbox\": [289, 208, 294, 215]}, {\"cell\": \"0.62\", \"bbox\": [344, 208, 359, 215]}, {\"cell\": \"14\", \"bbox\": [409, 208, 419, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 208, 484, 215]}, {\"cell\": \"BP + HDL + WAIST + TRIG + GLU\", \"bbox\": [0, 220, 110, 228]}, {\"cell\": \"64\", \"bbox\": [160, 220, 170, 228]}, {\"cell\": \"7.64\", \"bbox\": [220, 220, 235, 228]}, {\"cell\": \"117\", \"bbox\": [281, 220, 294, 228]}, {\"cell\": \"10.44\", \"bbox\": [340, 220, 359, 228]}, {\"cell\": \"181\", \"bbox\": [405, 220, 419, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 220, 484, 228]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4493262_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}786{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Clinician EBP use</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Cross-sectional analysis (baseline)</b></td><td colspan=\\\"2\\\"><b>Lagged analysis (2-year follow-up)</b></td></tr><tr><td><b>Predictor</b></td><td><b><i>B</i> (SE)</b></td><td><b><i>B</i> (SE)</b></td><td><b><i>B</i> (SE)</b></td><td><b><i>B</i> (SE)</b></td></tr></thead><tbody><tr><td>Intercept</td><td>3.175 (.079)**</td><td>3.060 (.071)**</td><td>[EMPTY_CELL]</td><td>3.213 (.063)**</td></tr><tr><td>Tenure in organization</td><td>.024 (.012)</td><td>.025 (.012)*</td><td>[EMPTY_CELL]</td><td>.020 (.012)</td></tr><tr><td>Average hours per week</td><td>.007 (.005)</td><td>.007 (.004)</td><td>[EMPTY_CELL]</td><td>.008 (.003)*</td></tr><tr><td>Education level (doctoral)</td><td>.071 (.231)</td><td>− .014 (.229)</td><td>[EMPTY_CELL]</td><td>− .094 (.176)</td></tr><tr><td>CBT theoretical orientation</td><td>.118 (.127)</td><td>.187 (.122)</td><td>[EMPTY_CELL]</td><td>.093 (.090)</td></tr><tr><td>Attitudes towards EBP</td><td>.019 (.113)</td><td>− .025 (.116)</td><td>[EMPTY_CELL]</td><td>.136 (.099)</td></tr><tr><td>Organization size (# of therapists)</td><td>.017 (.007)*</td><td>.012 (.005)*</td><td>[EMPTY_CELL]</td><td>.003 (.004)</td></tr><tr><td>Molar climate (baseline)</td><td>− .012 (.008)</td><td>.001 (.008)</td><td>[EMPTY_CELL]</td><td>.002 (.007)</td></tr><tr><td>Implementation climate (baseline)</td><td>.480 (.239)*</td><td>.154 (.217)</td><td>[EMPTY_CELL]</td><td>.016 (.198)</td></tr><tr><td>Molar climate x implementation climate</td><td>[EMPTY_CELL]</td><td>.021 (.007)**</td><td>[EMPTY_CELL]</td><td>.012 (.005)*</td></tr><tr><td><i>Pseudo</i> model <i>R</i><sup>2</sup></td><td>.63</td><td>.98</td><td>[EMPTY_CELL]</td><td>.98</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Clinician EBP use</b>\", \"bbox\": [166, 4, 222, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Cross-sectional analysis (baseline)</b>\", \"bbox\": [166, 17, 274, 27]}, {\"cell\": \"<b>Lagged analysis (2-year follow-up)</b>\", \"bbox\": [342, 17, 453, 27]}, {\"cell\": \"<b>Predictor</b>\", \"bbox\": [1, 30, 31, 40]}, {\"cell\": \"<b><i>B</i> (SE)</b>\", \"bbox\": [166, 30, 186, 40]}, {\"cell\": \"<b><i>B</i> (SE)</b>\", \"bbox\": [254, 30, 274, 40]}, {\"cell\": \"<b><i>B</i> (SE)</b>\", \"bbox\": [342, 30, 361, 40]}, {\"cell\": \"<b><i>B</i> (SE)</b>\", \"bbox\": [431, 30, 451, 40]}, {\"cell\": \"Intercept\", \"bbox\": [0, 43, 31, 53]}, {\"cell\": \"3.175 (.079)**\", \"bbox\": [166, 43, 210, 53]}, {\"cell\": \"3.060 (.071)**\", \"bbox\": [254, 43, 298, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 43, 386, 53]}, {\"cell\": \"3.213 (.063)**\", \"bbox\": [431, 43, 475, 53]}, {\"cell\": \"Tenure in organization\", \"bbox\": [0, 57, 75, 67]}, {\"cell\": \".024 (.012)\", \"bbox\": [166, 57, 200, 67]}, {\"cell\": \".025 (.012)*\", \"bbox\": [254, 57, 291, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 57, 376, 67]}, {\"cell\": \".020 (.012)\", \"bbox\": [431, 57, 465, 67]}, {\"cell\": \"Average hours per week\", \"bbox\": [0, 71, 81, 81]}, {\"cell\": \".007 (.005)\", \"bbox\": [166, 71, 200, 81]}, {\"cell\": \".007 (.004)\", \"bbox\": [254, 71, 288, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 71, 376, 81]}, {\"cell\": \".008 (.003)*\", \"bbox\": [431, 71, 468, 81]}, {\"cell\": \"Education level (doctoral)\", \"bbox\": [0, 85, 84, 95]}, {\"cell\": \".071 (.231)\", \"bbox\": [166, 85, 200, 95]}, {\"cell\": \"− .014 (.229)\", \"bbox\": [254, 85, 294, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 85, 382, 95]}, {\"cell\": \"− .094 (.176)\", \"bbox\": [431, 85, 471, 95]}, {\"cell\": \"CBT theoretical orientation\", \"bbox\": [1, 99, 88, 109]}, {\"cell\": \".118 (.127)\", \"bbox\": [166, 99, 200, 109]}, {\"cell\": \".187 (.122)\", \"bbox\": [254, 99, 288, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 99, 376, 109]}, {\"cell\": \".093 (.090)\", \"bbox\": [431, 99, 465, 109]}, {\"cell\": \"Attitudes towards EBP\", \"bbox\": [1, 113, 73, 123]}, {\"cell\": \".019 (.113)\", \"bbox\": [166, 113, 200, 123]}, {\"cell\": \"− .025 (.116)\", \"bbox\": [254, 113, 295, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 113, 376, 123]}, {\"cell\": \".136 (.099)\", \"bbox\": [431, 113, 465, 123]}, {\"cell\": \"Organization size (# of therapists)\", \"bbox\": [1, 127, 109, 137]}, {\"cell\": \".017 (.007)*\", \"bbox\": [166, 127, 204, 137]}, {\"cell\": \".012 (.005)*\", \"bbox\": [254, 127, 291, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 127, 376, 137]}, {\"cell\": \".003 (.004)\", \"bbox\": [431, 127, 465, 137]}, {\"cell\": \"Molar climate (baseline)\", \"bbox\": [1, 141, 79, 151]}, {\"cell\": \"− .012 (.008)\", \"bbox\": [166, 141, 207, 151]}, {\"cell\": \".001 (.008)\", \"bbox\": [254, 141, 288, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 141, 382, 151]}, {\"cell\": \".002 (.007)\", \"bbox\": [431, 141, 465, 151]}, {\"cell\": \"Implementation climate (baseline)\", \"bbox\": [1, 155, 112, 165]}, {\"cell\": \".480 (.239)*\", \"bbox\": [166, 155, 204, 165]}, {\"cell\": \".154 (.217)\", \"bbox\": [254, 155, 288, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 155, 379, 165]}, {\"cell\": \".016 (.198)\", \"bbox\": [431, 155, 465, 165]}, {\"cell\": \"Molar climate x implementation climate\", \"bbox\": [1, 169, 131, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".021 (.007)**\", \"bbox\": [254, 169, 294, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \".012 (.005)*\", \"bbox\": [431, 169, 468, 179]}, {\"cell\": \"<i>Pseudo</i> model <i>R</i><sup>2</sup>\", \"bbox\": [1, 182, 56, 193]}, {\"cell\": \".63\", \"bbox\": [166, 183, 177, 193]}, {\"cell\": \".98\", \"bbox\": [254, 183, 265, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 183, 353, 193]}, {\"cell\": \".98\", \"bbox\": [431, 183, 442, 193]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6019309_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}787{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Polymorphism</b></td><td><b>Genetic model</b></td><td><b>Participants</b></td><td><b>OR (95% CI)</b></td><td><b>Chi<sup>2</sup></b></td><td><b>P value</b></td></tr></thead><tbody><tr><td>rs5743842</td><td>TT vs. TC + CC</td><td>180</td><td>[EMPTY_CELL]</td><td>_</td><td>_</td></tr><tr><td>[EMPTY_CELL]</td><td>CC vs. TC + TT</td><td>180</td><td>[EMPTY_CELL]</td><td>_</td><td>0.50</td></tr><tr><td>[EMPTY_CELL]</td><td>TT vs. CC</td><td>178</td><td>[EMPTY_CELL]</td><td>_</td><td>_</td></tr><tr><td>[EMPTY_CELL]</td><td>TT vs. TC</td><td>2</td><td>[EMPTY_CELL]</td><td>_</td><td>_</td></tr><tr><td>[EMPTY_CELL]</td><td>T vs C</td><td>360</td><td>[EMPTY_CELL]</td><td>_</td><td>_</td></tr><tr><td>rs352165</td><td>TT vs. TC + CC</td><td>764</td><td>[EMPTY_CELL]</td><td>0.28</td><td>0.60</td></tr><tr><td>[EMPTY_CELL]</td><td>CC vs. TC + TT</td><td>764</td><td>[EMPTY_CELL]</td><td>0.27</td><td>0.60</td></tr><tr><td>[EMPTY_CELL]</td><td>TT vs. CC</td><td>364</td><td>[EMPTY_CELL]</td><td>0.01</td><td>0.92</td></tr><tr><td>[EMPTY_CELL]</td><td>TT vs. TC</td><td>543</td><td>[EMPTY_CELL]</td><td>0.52</td><td>0.47</td></tr><tr><td>[EMPTY_CELL]</td><td>T vs C</td><td>1528</td><td>[EMPTY_CELL]</td><td>0.00</td><td>0.96</td></tr><tr><td>rs352140</td><td>AA vs. AG + GG</td><td>396</td><td>[EMPTY_CELL]</td><td>0.90</td><td>0.34</td></tr><tr><td>[EMPTY_CELL]</td><td>GG vs. AG + AA</td><td>396</td><td>[EMPTY_CELL]</td><td>0.00</td><td>0.96</td></tr><tr><td>[EMPTY_CELL]</td><td>AA vs. AG</td><td>253</td><td>[EMPTY_CELL]</td><td>0.99</td><td>0.32</td></tr><tr><td>[EMPTY_CELL]</td><td>AA vs. GG</td><td>215</td><td>[EMPTY_CELL]</td><td>0.52</td><td>0.47</td></tr><tr><td>[EMPTY_CELL]</td><td>A vs G</td><td>792</td><td>[EMPTY_CELL]</td><td>0.31</td><td>0.58</td></tr><tr><td>rs352167</td><td>AA vs. AG + GG</td><td>764</td><td>[EMPTY_CELL]</td><td>0.26</td><td>0.61</td></tr><tr><td>[EMPTY_CELL]</td><td>GG vs. AG + AA</td><td>764</td><td>[EMPTY_CELL]</td><td>0.29</td><td>0.59</td></tr><tr><td>[EMPTY_CELL]</td><td>AA vs. AG</td><td>561</td><td>[EMPTY_CELL]</td><td>0.50</td><td>0.48</td></tr><tr><td>[EMPTY_CELL]</td><td>AA vs. GG</td><td>364</td><td>[EMPTY_CELL]</td><td>0.00</td><td>0.97</td></tr><tr><td>[EMPTY_CELL]</td><td>A vs G</td><td>1528</td><td>[EMPTY_CELL]</td><td>0.00</td><td>0.97</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Polymorphism</b>\", \"bbox\": [1, 4, 53, 13]}, {\"cell\": \"<b>Genetic model</b>\", \"bbox\": [101, 4, 154, 13]}, {\"cell\": \"<b>Participants</b>\", \"bbox\": [202, 4, 245, 13]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [293, 4, 336, 13]}, {\"cell\": \"<b>Chi<sup>2</sup></b>\", \"bbox\": [392, 2, 409, 13]}, {\"cell\": \"<b>P value</b>\", \"bbox\": [457, 4, 484, 13]}, {\"cell\": \"rs5743842\", \"bbox\": [1, 17, 35, 26]}, {\"cell\": \"TT vs. TC + CC\", \"bbox\": [101, 17, 148, 26]}, {\"cell\": \"180\", \"bbox\": [202, 17, 215, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 17, 299, 26]}, {\"cell\": \"_\", \"bbox\": [392, 17, 398, 26]}, {\"cell\": \"_\", \"bbox\": [457, 17, 463, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC vs. TC + TT\", \"bbox\": [101, 31, 148, 40]}, {\"cell\": \"180\", \"bbox\": [202, 31, 215, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 31, 326, 40]}, {\"cell\": \"_\", \"bbox\": [392, 31, 398, 40]}, {\"cell\": \"0.50\", \"bbox\": [457, 31, 472, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT vs. CC\", \"bbox\": [101, 45, 132, 54]}, {\"cell\": \"178\", \"bbox\": [202, 45, 215, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 45, 299, 54]}, {\"cell\": \"_\", \"bbox\": [392, 45, 398, 54]}, {\"cell\": \"_\", \"bbox\": [457, 45, 463, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT vs. TC\", \"bbox\": [101, 59, 131, 68]}, {\"cell\": \"2\", \"bbox\": [202, 59, 208, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 59, 299, 68]}, {\"cell\": \"_\", \"bbox\": [392, 59, 398, 68]}, {\"cell\": \"_\", \"bbox\": [457, 59, 463, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T vs C\", \"bbox\": [101, 73, 122, 82]}, {\"cell\": \"360\", \"bbox\": [202, 73, 215, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 73, 299, 82]}, {\"cell\": \"_\", \"bbox\": [392, 73, 398, 82]}, {\"cell\": \"_\", \"bbox\": [457, 73, 463, 82]}, {\"cell\": \"rs352165\", \"bbox\": [1, 87, 31, 96]}, {\"cell\": \"TT vs. TC + CC\", \"bbox\": [101, 87, 148, 96]}, {\"cell\": \"764\", \"bbox\": [202, 87, 215, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 87, 344, 96]}, {\"cell\": \"0.28\", \"bbox\": [392, 87, 407, 96]}, {\"cell\": \"0.60\", \"bbox\": [457, 87, 472, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC vs. TC + TT\", \"bbox\": [101, 101, 148, 110]}, {\"cell\": \"764\", \"bbox\": [202, 101, 215, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 101, 344, 110]}, {\"cell\": \"0.27\", \"bbox\": [392, 101, 407, 110]}, {\"cell\": \"0.60\", \"bbox\": [457, 101, 472, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT vs. CC\", \"bbox\": [101, 115, 132, 124]}, {\"cell\": \"364\", \"bbox\": [202, 115, 215, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 115, 344, 124]}, {\"cell\": \"0.01\", \"bbox\": [392, 115, 407, 124]}, {\"cell\": \"0.92\", \"bbox\": [457, 115, 472, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TT vs. TC\", \"bbox\": [101, 129, 131, 138]}, {\"cell\": \"543\", \"bbox\": [202, 129, 215, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 129, 344, 138]}, {\"cell\": \"0.52\", \"bbox\": [392, 129, 407, 138]}, {\"cell\": \"0.47\", \"bbox\": [457, 129, 472, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T vs C\", \"bbox\": [101, 143, 122, 152]}, {\"cell\": \"1528\", \"bbox\": [202, 143, 219, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 143, 344, 152]}, {\"cell\": \"0.00\", \"bbox\": [392, 143, 407, 152]}, {\"cell\": \"0.96\", \"bbox\": [457, 143, 472, 152]}, {\"cell\": \"rs352140\", \"bbox\": [1, 157, 31, 166]}, {\"cell\": \"AA vs. AG + GG\", \"bbox\": [101, 157, 152, 166]}, {\"cell\": \"396\", \"bbox\": [202, 157, 215, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 157, 344, 166]}, {\"cell\": \"0.90\", \"bbox\": [392, 157, 407, 166]}, {\"cell\": \"0.34\", \"bbox\": [457, 157, 472, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG vs. AG + AA\", \"bbox\": [101, 171, 152, 180]}, {\"cell\": \"396\", \"bbox\": [202, 171, 215, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 171, 344, 180]}, {\"cell\": \"0.00\", \"bbox\": [392, 171, 407, 180]}, {\"cell\": \"0.96\", \"bbox\": [457, 171, 472, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA vs. AG\", \"bbox\": [101, 185, 135, 194]}, {\"cell\": \"253\", \"bbox\": [202, 185, 215, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 185, 344, 194]}, {\"cell\": \"0.99\", \"bbox\": [392, 185, 407, 194]}, {\"cell\": \"0.32\", \"bbox\": [457, 185, 472, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA vs. GG\", \"bbox\": [101, 199, 135, 208]}, {\"cell\": \"215\", \"bbox\": [202, 199, 215, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 199, 344, 208]}, {\"cell\": \"0.52\", \"bbox\": [392, 199, 407, 208]}, {\"cell\": \"0.47\", \"bbox\": [457, 199, 472, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A vs G\", \"bbox\": [101, 213, 124, 222]}, {\"cell\": \"792\", \"bbox\": [202, 213, 215, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 213, 344, 222]}, {\"cell\": \"0.31\", \"bbox\": [392, 213, 407, 222]}, {\"cell\": \"0.58\", \"bbox\": [457, 213, 472, 222]}, {\"cell\": \"rs352167\", \"bbox\": [1, 227, 31, 236]}, {\"cell\": \"AA vs. AG + GG\", \"bbox\": [101, 227, 152, 236]}, {\"cell\": \"764\", \"bbox\": [202, 227, 215, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 227, 344, 236]}, {\"cell\": \"0.26\", \"bbox\": [392, 227, 407, 236]}, {\"cell\": \"0.61\", \"bbox\": [457, 227, 472, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG vs. AG + AA\", \"bbox\": [101, 241, 152, 250]}, {\"cell\": \"764\", \"bbox\": [202, 241, 215, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 241, 344, 250]}, {\"cell\": \"0.29\", \"bbox\": [392, 241, 407, 250]}, {\"cell\": \"0.59\", \"bbox\": [457, 241, 472, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA vs. AG\", \"bbox\": [101, 255, 135, 264]}, {\"cell\": \"561\", \"bbox\": [202, 255, 215, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 255, 344, 264]}, {\"cell\": \"0.50\", \"bbox\": [392, 255, 407, 264]}, {\"cell\": \"0.48\", \"bbox\": [457, 255, 472, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AA vs. GG\", \"bbox\": [101, 269, 135, 278]}, {\"cell\": \"364\", \"bbox\": [202, 269, 215, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 269, 344, 278]}, {\"cell\": \"0.00\", \"bbox\": [392, 269, 407, 278]}, {\"cell\": \"0.97\", \"bbox\": [457, 269, 472, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"A vs G\", \"bbox\": [101, 283, 124, 292]}, {\"cell\": \"1528\", \"bbox\": [202, 283, 219, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 283, 344, 292]}, {\"cell\": \"0.00\", \"bbox\": [392, 283, 407, 292]}, {\"cell\": \"0.97\", \"bbox\": [457, 283, 472, 292]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4460768_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}788{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Diseases</b></td><td><b>Children < 5 years</b></td><td><b>Patients ≥5 years</b></td><td><b>Total cases</b></td><td><b>Percentage of all cases (%)</b></td></tr></thead><tbody><tr><td>Teeth and gum diseases</td><td>3,642</td><td>[EMPTY_CELL]</td><td>83,546</td><td>15</td></tr><tr><td>Allergic conjunctivitis</td><td>5,769</td><td>[EMPTY_CELL]</td><td>40,126</td><td>7</td></tr><tr><td>Eye diseases</td><td>2,066</td><td>[EMPTY_CELL]</td><td>28,251</td><td>5</td></tr><tr><td>Gastro-intestinal disorders</td><td>0</td><td>[EMPTY_CELL]</td><td>20,230</td><td>4</td></tr><tr><td>ARIs</td><td>5,716</td><td>[EMPTY_CELL]</td><td>17,009</td><td>3</td></tr><tr><td>Skin diseases</td><td>2,345</td><td>[EMPTY_CELL]</td><td>16,209</td><td>3</td></tr><tr><td>Gynecological and obstetric diseases</td><td>80</td><td>[EMPTY_CELL]</td><td>15,784</td><td>3</td></tr><tr><td>Physical trauma</td><td>1,327</td><td>[EMPTY_CELL]</td><td>15,521</td><td>3</td></tr><tr><td>Urinary tract diseases</td><td>759</td><td>[EMPTY_CELL]</td><td>15,392</td><td>3</td></tr><tr><td>Epilepsy</td><td>1,033</td><td>[EMPTY_CELL]</td><td>14,116</td><td>3</td></tr><tr><td>Other diagnoses</td><td>45,940</td><td>[EMPTY_CELL]</td><td>278,726</td><td>51</td></tr><tr><td>Total</td><td>68,677</td><td>[EMPTY_CELL]</td><td>544,910</td><td>100</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Diseases</b>\", \"bbox\": [1, 8, 35, 18]}, {\"cell\": \"<b>Children < 5 years</b>\", \"bbox\": [164, 8, 230, 18]}, {\"cell\": \"<b>Patients ≥5 years</b>\", \"bbox\": [243, 8, 312, 18]}, {\"cell\": \"<b>Total cases</b>\", \"bbox\": [323, 8, 365, 18]}, {\"cell\": \"<b>Percentage of all cases (%)</b>\", \"bbox\": [379, 8, 480, 18]}, {\"cell\": \"Teeth and gum diseases\", \"bbox\": [1, 29, 90, 38]}, {\"cell\": \"3,642\", \"bbox\": [188, 29, 210, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 29, 293, 38]}, {\"cell\": \"83,546\", \"bbox\": [333, 29, 360, 38]}, {\"cell\": \"15\", \"bbox\": [426, 29, 437, 38]}, {\"cell\": \"Allergic conjunctivitis\", \"bbox\": [1, 40, 77, 50]}, {\"cell\": \"5,769\", \"bbox\": [188, 40, 210, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 40, 293, 50]}, {\"cell\": \"40,126\", \"bbox\": [333, 40, 360, 50]}, {\"cell\": \"7\", \"bbox\": [431, 40, 437, 50]}, {\"cell\": \"Eye diseases\", \"bbox\": [1, 52, 50, 62]}, {\"cell\": \"2,066\", \"bbox\": [188, 52, 210, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 52, 293, 62]}, {\"cell\": \"28,251\", \"bbox\": [333, 52, 360, 62]}, {\"cell\": \"5\", \"bbox\": [431, 52, 437, 62]}, {\"cell\": \"Gastro-intestinal disorders\", \"bbox\": [1, 64, 97, 74]}, {\"cell\": \"0\", \"bbox\": [204, 64, 210, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 64, 293, 74]}, {\"cell\": \"20,230\", \"bbox\": [333, 64, 360, 74]}, {\"cell\": \"4\", \"bbox\": [431, 64, 437, 74]}, {\"cell\": \"ARIs\", \"bbox\": [1, 76, 19, 86]}, {\"cell\": \"5,716\", \"bbox\": [188, 76, 210, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 76, 293, 86]}, {\"cell\": \"17,009\", \"bbox\": [333, 76, 360, 86]}, {\"cell\": \"3\", \"bbox\": [431, 76, 437, 86]}, {\"cell\": \"Skin diseases\", \"bbox\": [1, 88, 52, 98]}, {\"cell\": \"2,345\", \"bbox\": [188, 88, 210, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 88, 293, 98]}, {\"cell\": \"16,209\", \"bbox\": [333, 88, 360, 98]}, {\"cell\": \"3\", \"bbox\": [431, 88, 437, 98]}, {\"cell\": \"Gynecological and obstetric diseases\", \"bbox\": [1, 100, 137, 110]}, {\"cell\": \"80\", \"bbox\": [199, 100, 210, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 100, 293, 110]}, {\"cell\": \"15,784\", \"bbox\": [333, 100, 360, 110]}, {\"cell\": \"3\", \"bbox\": [431, 100, 437, 110]}, {\"cell\": \"Physical trauma\", \"bbox\": [1, 112, 60, 122]}, {\"cell\": \"1,327\", \"bbox\": [188, 112, 210, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 112, 293, 122]}, {\"cell\": \"15,521\", \"bbox\": [333, 112, 360, 122]}, {\"cell\": \"3\", \"bbox\": [431, 112, 437, 122]}, {\"cell\": \"Urinary tract diseases\", \"bbox\": [1, 124, 81, 134]}, {\"cell\": \"759\", \"bbox\": [195, 124, 210, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 124, 293, 134]}, {\"cell\": \"15,392\", \"bbox\": [333, 124, 360, 134]}, {\"cell\": \"3\", \"bbox\": [431, 124, 437, 134]}, {\"cell\": \"Epilepsy\", \"bbox\": [1, 136, 33, 146]}, {\"cell\": \"1,033\", \"bbox\": [188, 136, 210, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 136, 293, 146]}, {\"cell\": \"14,116\", \"bbox\": [333, 136, 360, 146]}, {\"cell\": \"3\", \"bbox\": [431, 136, 437, 146]}, {\"cell\": \"Other diagnoses\", \"bbox\": [1, 148, 61, 158]}, {\"cell\": \"45,940\", \"bbox\": [184, 148, 210, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 148, 293, 158]}, {\"cell\": \"278,726\", \"bbox\": [329, 148, 360, 158]}, {\"cell\": \"51\", \"bbox\": [426, 148, 437, 158]}, {\"cell\": \"Total\", \"bbox\": [1, 160, 19, 170]}, {\"cell\": \"68,677\", \"bbox\": [184, 160, 210, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [262, 160, 293, 170]}, {\"cell\": \"544,910\", \"bbox\": [329, 160, 360, 170]}, {\"cell\": \"100\", \"bbox\": [422, 160, 437, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3593139_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}789{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable, No. (%)</b></td><td><b>All(n = 103)</b></td><td><b>Treatment Failure(n = 42)</b></td><td><b>No Treatment Failure(n = 61)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>13.1 (7.2)</td><td>12.7 (6.9)</td><td>13.4 (7.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>12 (4–44)</td><td>11 (4–40)</td><td>12 (4–44)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5 (4.9)</td><td>0</td><td>5 (8.2) †</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1.2 (0.9)</td><td>1.0 (0.6)</td><td>1.2 (1.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.0 (0.1–4.4)</td><td>0.9 (0.2–2.6)</td><td>1.0 (0.1–4.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>218 (93)</td><td>229 (99)</td><td>211 (88)</td></tr><tr><td>[EMPTY_CELL]</td><td>16 (15.5)</td><td>4 (9.5)</td><td>12 (19.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>71 (68.9)</td><td>31 (73.8)</td><td>40 (65.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>16 (15.5)</td><td>7 (16.7)</td><td>9 (14.8)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>6.1 (4.8)</td><td>5.3 (3.5)</td><td>6.7 (5.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>5 (1–24)</td><td>4 (1–19)</td><td>5 (1–24)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>35 (34.0)</td><td>25 (59.5)</td><td>10 (16.4) ‡</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>11 (10.7)</td><td>0</td><td>11 (18.0) ‡</td></tr><tr><td>[EMPTY_CELL]</td><td>92 (89.3)</td><td>42 (100%)</td><td>50 (82.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>36 (35.0)</td><td>36 (85.7)</td><td>0 ‡</td></tr><tr><td>[EMPTY_CELL]</td><td>16 (15.5)</td><td>16 (38.1)</td><td>0 ‡</td></tr><tr><td>[EMPTY_CELL]</td><td>17 (16.5)</td><td>17 (40.5)</td><td>0 ‡</td></tr><tr><td>[EMPTY_CELL]</td><td>1 (1.0)</td><td>1 (2.4)</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>2 (1.9)</td><td>2 (4.8)</td><td>0</td></tr><tr><td>[EMPTY_CELL]</td><td>41 (39.8)</td><td>1 (2.4) **</td><td>40 (65.6) ‡</td></tr><tr><td>[EMPTY_CELL]</td><td>15 (14.6)</td><td>5 (11.9) **</td><td>10 (16.4)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable, No. (%)</b>\", \"bbox\": [4, 5, 72, 14]}, {\"cell\": \"<b>All(n = 103)</b>\", \"bbox\": [280, 5, 316, 23]}, {\"cell\": \"<b>Treatment Failure(n = 42)</b>\", \"bbox\": [330, 5, 403, 23]}, {\"cell\": \"<b>No Treatment Failure(n = 61)</b>\", \"bbox\": [410, 5, 498, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 36, 126, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 46, 52, 56]}, {\"cell\": \"13.1 (7.2)\", \"bbox\": [280, 46, 314, 56]}, {\"cell\": \"12.7 (6.9)\", \"bbox\": [330, 46, 364, 56]}, {\"cell\": \"13.4 (7.4)\", \"bbox\": [410, 46, 444, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 56, 67, 66]}, {\"cell\": \"12 (4–44)\", \"bbox\": [280, 56, 314, 66]}, {\"cell\": \"11 (4–40)\", \"bbox\": [330, 56, 364, 66]}, {\"cell\": \"12 (4–44)\", \"bbox\": [410, 56, 444, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 66, 213, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 77, 69, 87]}, {\"cell\": \"5 (4.9)\", \"bbox\": [280, 77, 304, 87]}, {\"cell\": \"0\", \"bbox\": [330, 77, 336, 87]}, {\"cell\": \"5 (8.2) †\", \"bbox\": [410, 77, 440, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 87, 103, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 97, 52, 107]}, {\"cell\": \"1.2 (0.9)\", \"bbox\": [280, 97, 309, 107]}, {\"cell\": \"1.0 (0.6)\", \"bbox\": [330, 97, 360, 107]}, {\"cell\": \"1.2 (1.0)\", \"bbox\": [410, 97, 439, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 108, 66, 117]}, {\"cell\": \"1.0 (0.1–4.4)\", \"bbox\": [280, 108, 324, 117]}, {\"cell\": \"0.9 (0.2–2.6)\", \"bbox\": [330, 108, 374, 117]}, {\"cell\": \"1.0 (0.1–4.4)\", \"bbox\": [410, 108, 454, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 118, 145, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 128, 52, 138]}, {\"cell\": \"218 (93)\", \"bbox\": [280, 128, 310, 138]}, {\"cell\": \"229 (99)\", \"bbox\": [330, 128, 360, 138]}, {\"cell\": \"211 (88)\", \"bbox\": [410, 128, 440, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 138, 62, 148]}, {\"cell\": \"16 (15.5)\", \"bbox\": [280, 138, 312, 148]}, {\"cell\": \"4 (9.5)\", \"bbox\": [330, 138, 354, 148]}, {\"cell\": \"12 (19.7)\", \"bbox\": [410, 138, 442, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 148, 41, 158]}, {\"cell\": \"71 (68.9)\", \"bbox\": [280, 148, 312, 158]}, {\"cell\": \"31 (73.8)\", \"bbox\": [330, 148, 362, 158]}, {\"cell\": \"40 (65.6)\", \"bbox\": [410, 148, 442, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 159, 62, 169]}, {\"cell\": \"16 (15.5)\", \"bbox\": [280, 159, 312, 169]}, {\"cell\": \"7 (16.7)\", \"bbox\": [330, 159, 358, 169]}, {\"cell\": \"9 (14.8)\", \"bbox\": [410, 159, 438, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 169, 103, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 179, 52, 189]}, {\"cell\": \"6.1 (4.8)\", \"bbox\": [280, 179, 309, 189]}, {\"cell\": \"5.3 (3.5)\", \"bbox\": [330, 179, 360, 189]}, {\"cell\": \"6.7 (5.4)\", \"bbox\": [410, 179, 439, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 189, 67, 199]}, {\"cell\": \"5 (1–24)\", \"bbox\": [280, 189, 310, 199]}, {\"cell\": \"4 (1–19)\", \"bbox\": [330, 189, 360, 199]}, {\"cell\": \"5 (1–24)\", \"bbox\": [410, 189, 440, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 200, 122, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 210, 69, 220]}, {\"cell\": \"35 (34.0)\", \"bbox\": [280, 210, 312, 220]}, {\"cell\": \"25 (59.5)\", \"bbox\": [330, 210, 362, 220]}, {\"cell\": \"10 (16.4) ‡\", \"bbox\": [410, 210, 448, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 220, 119, 230]}, {\"cell\": \"0\", \"bbox\": [280, 220, 286, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 231, 99, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 241, 107, 251]}, {\"cell\": \"11 (10.7)\", \"bbox\": [280, 241, 312, 251]}, {\"cell\": \"0\", \"bbox\": [330, 241, 336, 251]}, {\"cell\": \"11 (18.0) ‡\", \"bbox\": [410, 241, 448, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 251, 106, 261]}, {\"cell\": \"92 (89.3)\", \"bbox\": [280, 251, 312, 261]}, {\"cell\": \"42 (100%)\", \"bbox\": [330, 251, 366, 261]}, {\"cell\": \"50 (82.0)\", \"bbox\": [410, 251, 442, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 261, 121, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 271, 75, 281]}, {\"cell\": \"36 (35.0)\", \"bbox\": [280, 271, 312, 281]}, {\"cell\": \"36 (85.7)\", \"bbox\": [330, 271, 362, 281]}, {\"cell\": \"0 ‡\", \"bbox\": [410, 271, 422, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 282, 190, 292]}, {\"cell\": \"16 (15.5)\", \"bbox\": [280, 282, 312, 292]}, {\"cell\": \"16 (38.1)\", \"bbox\": [330, 282, 362, 292]}, {\"cell\": \"0 ‡\", \"bbox\": [410, 282, 422, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 292, 255, 311]}, {\"cell\": \"17 (16.5)\", \"bbox\": [280, 292, 312, 302]}, {\"cell\": \"17 (40.5)\", \"bbox\": [330, 292, 362, 302]}, {\"cell\": \"0 ‡\", \"bbox\": [410, 292, 422, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 312, 134, 321]}, {\"cell\": \"1 (1.0)\", \"bbox\": [280, 312, 304, 321]}, {\"cell\": \"1 (2.4)\", \"bbox\": [330, 312, 354, 321]}, {\"cell\": \"0\", \"bbox\": [410, 312, 416, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 322, 66, 332]}, {\"cell\": \"2 (1.9)\", \"bbox\": [280, 322, 304, 332]}, {\"cell\": \"2 (4.8)\", \"bbox\": [330, 322, 354, 332]}, {\"cell\": \"0\", \"bbox\": [410, 322, 416, 332]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 332, 105, 342]}, {\"cell\": \"41 (39.8)\", \"bbox\": [280, 332, 312, 342]}, {\"cell\": \"1 (2.4) **\", \"bbox\": [330, 332, 363, 342]}, {\"cell\": \"40 (65.6) ‡\", \"bbox\": [410, 332, 448, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 342, 117, 352]}, {\"cell\": \"15 (14.6)\", \"bbox\": [280, 342, 312, 352]}, {\"cell\": \"5 (11.9) **\", \"bbox\": [330, 342, 367, 352]}, {\"cell\": \"10 (16.4)\", \"bbox\": [410, 342, 442, 352]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1702543_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}790{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Physician diagnosed mood/anxiety</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>Yes</b></td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td><b>N=68</b></td><td><b>N=1,264</b></td></tr><tr><td><b>Sleep complaints</b></td><td><b>Mean ± SD or %</b></td><td>[EMPTY_CELL]</td><td><b>P-value</b></td></tr><tr><td>Sleep hours during pregnancy (hours)</td><td>7.6 ± 1.7</td><td>[EMPTY_CELL]</td><td>0.34<sup><b>*</b></sup></td></tr><tr><td>≤6</td><td>23.5</td><td>[EMPTY_CELL]</td><td>0.08<sup>**</sup></td></tr><tr><td>7-8</td><td>45.6</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>≥9</td><td>29.4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Missing</td><td>1.5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Epworth sleepiness scale during pregnancy (score)</td><td>8.0 ± 3.4</td><td>[EMPTY_CELL]</td><td>0.39<sup><b>*</b></sup></td></tr><tr><td>Normal (0–9)</td><td>66.2</td><td>[EMPTY_CELL]</td><td>0.53<sup>**</sup></td></tr><tr><td>Borderline (10–12)</td><td>22.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Abnormal (13–24)</td><td>11.8</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Vital exhaustion during pregnancy</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Never</td><td>27.9</td><td>[EMPTY_CELL]</td><td><0.001<sup>**</sup></td></tr><tr><td>Infrequently</td><td>29.4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Frequently</td><td>17.7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Very frequently</td><td>25.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Missing</td><td>0.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Perceived stress scale (score)</td><td>5.1 ± 2.5</td><td>[EMPTY_CELL]</td><td><0.001<sup><b>*</b></sup></td></tr><tr><td>0-3</td><td>25.0</td><td>[EMPTY_CELL]</td><td><0.001<sup>**</sup></td></tr><tr><td>4-6</td><td>44.1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>7-12</td><td>30.9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Missing</td><td>0.0</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Physician diagnosed mood/anxiety</b>\", \"bbox\": [222, 4, 345, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Yes</b>\", \"bbox\": [222, 17, 236, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 17, 351, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N=68</b>\", \"bbox\": [222, 31, 243, 41]}, {\"cell\": \"<b>N=1,264</b>\", \"bbox\": [339, 31, 370, 41]}, {\"cell\": \"<b>Sleep complaints</b>\", \"bbox\": [1, 45, 62, 55]}, {\"cell\": \"<b>Mean ± SD or %</b>\", \"bbox\": [222, 45, 281, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 45, 398, 55]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [456, 45, 484, 55]}, {\"cell\": \"Sleep hours during pregnancy (hours)\", \"bbox\": [1, 58, 124, 68]}, {\"cell\": \"7.6 ± 1.7\", \"bbox\": [222, 58, 252, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 58, 369, 68]}, {\"cell\": \"0.34<sup><b>*</b></sup>\", \"bbox\": [456, 57, 474, 68]}, {\"cell\": \"≤6\", \"bbox\": [8, 72, 20, 82]}, {\"cell\": \"23.5\", \"bbox\": [222, 72, 237, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 72, 354, 82]}, {\"cell\": \"0.08<sup>**</sup>\", \"bbox\": [456, 71, 476, 82]}, {\"cell\": \"7-8\", \"bbox\": [8, 86, 20, 96]}, {\"cell\": \"45.6\", \"bbox\": [222, 86, 237, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 86, 354, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥9\", \"bbox\": [8, 100, 20, 110]}, {\"cell\": \"29.4\", \"bbox\": [222, 100, 237, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 100, 354, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Missing\", \"bbox\": [8, 114, 34, 124]}, {\"cell\": \"1.5\", \"bbox\": [222, 114, 233, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 114, 350, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Epworth sleepiness scale during pregnancy (score)\", \"bbox\": [1, 128, 165, 138]}, {\"cell\": \"8.0 ± 3.4\", \"bbox\": [222, 128, 252, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 128, 369, 138]}, {\"cell\": \"0.39<sup><b>*</b></sup>\", \"bbox\": [456, 127, 474, 138]}, {\"cell\": \"Normal (0–9)\", \"bbox\": [8, 142, 52, 152]}, {\"cell\": \"66.2\", \"bbox\": [222, 142, 237, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 142, 354, 152]}, {\"cell\": \"0.53<sup>**</sup>\", \"bbox\": [456, 141, 476, 152]}, {\"cell\": \"Borderline (10–12)\", \"bbox\": [8, 156, 69, 166]}, {\"cell\": \"22.0\", \"bbox\": [222, 156, 237, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 156, 354, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Abnormal (13–24)\", \"bbox\": [8, 170, 68, 180]}, {\"cell\": \"11.8\", \"bbox\": [222, 170, 237, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 170, 350, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Vital exhaustion during pregnancy\", \"bbox\": [0, 184, 113, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Never\", \"bbox\": [8, 198, 29, 208]}, {\"cell\": \"27.9\", \"bbox\": [222, 198, 237, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 198, 354, 208]}, {\"cell\": \"<0.001<sup>**</sup>\", \"bbox\": [456, 197, 484, 208]}, {\"cell\": \"Infrequently\", \"bbox\": [8, 212, 49, 222]}, {\"cell\": \"29.4\", \"bbox\": [222, 212, 237, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 212, 354, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Frequently\", \"bbox\": [8, 226, 44, 236]}, {\"cell\": \"17.7\", \"bbox\": [222, 226, 237, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 226, 350, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Very frequently\", \"bbox\": [8, 240, 59, 250]}, {\"cell\": \"25.0\", \"bbox\": [222, 240, 237, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 240, 354, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Missing\", \"bbox\": [8, 254, 34, 264]}, {\"cell\": \"0.0\", \"bbox\": [222, 254, 233, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 254, 350, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Perceived stress scale (score)\", \"bbox\": [1, 268, 94, 278]}, {\"cell\": \"5.1 ± 2.5\", \"bbox\": [222, 268, 252, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 268, 369, 278]}, {\"cell\": \"<0.001<sup><b>*</b></sup>\", \"bbox\": [456, 267, 482, 278]}, {\"cell\": \"0-3\", \"bbox\": [8, 282, 20, 292]}, {\"cell\": \"25.0\", \"bbox\": [222, 282, 237, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 282, 354, 292]}, {\"cell\": \"<0.001<sup>**</sup>\", \"bbox\": [456, 281, 484, 292]}, {\"cell\": \"4-6\", \"bbox\": [8, 296, 20, 306]}, {\"cell\": \"44.1\", \"bbox\": [222, 296, 237, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 296, 354, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7-12\", \"bbox\": [8, 310, 24, 320]}, {\"cell\": \"30.9\", \"bbox\": [222, 310, 237, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 310, 354, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Missing\", \"bbox\": [8, 324, 34, 334]}, {\"cell\": \"0.0\", \"bbox\": [222, 324, 233, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 324, 350, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3514205_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}791{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Subcategory</b></td><td><b>PDAC crExos cohort <i>n</i> (%)</b></td><td><b>PDAC crExos Low GPC1<i>n</i> (%)</b></td><td><b>PDAC crExos High GPC1 <i>n</i> (%)</b></td><td><b><i>P</i> value<sup>a</sup></b></td></tr></thead><tbody><tr><td><b>All cases<sup>b</sup></b></td><td>[EMPTY_CELL]</td><td><b>27</b></td><td>[EMPTY_CELL]</td><td><b>14</b></td><td>−</td></tr><tr><td><b>Age, y</b></td><td>≤60</td><td>6 (22.2)</td><td>[EMPTY_CELL]</td><td>3 (50)</td><td rowspan=\\\"2\\\">0.918</td></tr><tr><td>[EMPTY_CELL]</td><td>>60</td><td>21 (77.8)</td><td>[EMPTY_CELL]</td><td>11 (52.4)</td></tr><tr><td><b>Sex</b></td><td>Female</td><td>11 (40.7)</td><td>[EMPTY_CELL]</td><td>5 (45.5)</td><td rowspan=\\\"2\\\">0.581</td></tr><tr><td>[EMPTY_CELL]</td><td>Male</td><td>16 (59.3)</td><td>[EMPTY_CELL]</td><td>9 (56.2)</td></tr><tr><td><b>Differentiation</b><b>grade</b></td><td>Low (G1/2)High (G3)</td><td>12 (44.4)15 (55.6)</td><td>[EMPTY_CELL]</td><td>6 (50)8 (53.3)</td><td>0.863</td></tr><tr><td><b>Lymph-node</b><b>Status (N)</b></td><td>Absent (N0)Present (N1)</td><td>9 (33.3)18 (66.7)</td><td>[EMPTY_CELL]</td><td>4 (44.4)10 (55.6)</td><td>0.586</td></tr><tr><td><b>Tumor Size, <i>cm</i></b></td><td><4</td><td>14 (51.9)</td><td>[EMPTY_CELL]</td><td>4 (28.6)</td><td rowspan=\\\"2\\\">0.012</td></tr><tr><td>[EMPTY_CELL]</td><td>>4</td><td>13 (48.1)</td><td>[EMPTY_CELL]</td><td>10 (76.9)</td></tr><tr><td><b>Perineural</b><b>Invasion (PNI)</b></td><td>No</td><td>8 (29.6)</td><td>[EMPTY_CELL]</td><td>4 (50)</td><td rowspan=\\\"2\\\">0.901</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>19 (70.4)</td><td>[EMPTY_CELL]</td><td>10 (52.6)</td></tr><tr><td><b>Resection margin</b><b>Status (R)</b></td><td>Negative (R0)</td><td>17 (63)</td><td>[EMPTY_CELL]</td><td>8 (47.1)</td><td rowspan=\\\"2\\\">0.516</td></tr><tr><td>[EMPTY_CELL]</td><td>Positive (R1)</td><td>10 (37)</td><td>[EMPTY_CELL]</td><td>6 (60)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [5, 17, 47, 27]}, {\"cell\": \"<b>Subcategory</b>\", \"bbox\": [110, 17, 166, 27]}, {\"cell\": \"<b>PDAC crExos cohort <i>n</i> (%)</b>\", \"bbox\": [181, 11, 273, 33]}, {\"cell\": \"<b>PDAC crExos Low GPC1<i>n</i> (%)</b>\", \"bbox\": [284, 5, 346, 39]}, {\"cell\": \"<b>PDAC crExos High GPC1 <i>n</i> (%)</b>\", \"bbox\": [357, 11, 436, 33]}, {\"cell\": \"<b><i>P</i> value<sup>a</sup></b>\", \"bbox\": [451, 16, 487, 27]}, {\"cell\": \"<b>All cases<sup>b</sup></b>\", \"bbox\": [5, 43, 47, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>27</b>\", \"bbox\": [221, 43, 233, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [309, 43, 321, 54]}, {\"cell\": \"<b>14</b>\", \"bbox\": [391, 43, 403, 54]}, {\"cell\": \"−\", \"bbox\": [465, 40, 473, 55]}, {\"cell\": \"<b>Age, y</b>\", \"bbox\": [5, 58, 33, 69]}, {\"cell\": \"≤60\", \"bbox\": [129, 55, 147, 70]}, {\"cell\": \"6 (22.2)\", \"bbox\": [210, 58, 243, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 58, 328, 69]}, {\"cell\": \"3 (50)\", \"bbox\": [384, 58, 410, 69]}, {\"cell\": \"0.918\", \"bbox\": [457, 66, 481, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">60\", \"bbox\": [129, 73, 147, 84]}, {\"cell\": \"21 (77.8)\", \"bbox\": [207, 73, 246, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 73, 335, 84]}, {\"cell\": \"11 (52.4)\", \"bbox\": [378, 73, 416, 84]}, {\"cell\": \"<b>Sex</b>\", \"bbox\": [5, 88, 22, 99]}, {\"cell\": \"Female\", \"bbox\": [122, 88, 154, 99]}, {\"cell\": \"11 (40.7)\", \"bbox\": [207, 88, 246, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 88, 332, 99]}, {\"cell\": \"5 (45.5)\", \"bbox\": [380, 88, 414, 99]}, {\"cell\": \"0.581\", \"bbox\": [457, 96, 481, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [127, 103, 149, 114]}, {\"cell\": \"16 (59.3)\", \"bbox\": [207, 103, 246, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 103, 332, 114]}, {\"cell\": \"9 (56.2)\", \"bbox\": [380, 103, 414, 114]}, {\"cell\": \"<b>Differentiation</b><b>grade</b>\", \"bbox\": [5, 118, 70, 141]}, {\"cell\": \"Low (G1/2)High (G3)\", \"bbox\": [113, 118, 163, 141]}, {\"cell\": \"12 (44.4)15 (55.6)\", \"bbox\": [207, 118, 246, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 118, 332, 141]}, {\"cell\": \"6 (50)8 (53.3)\", \"bbox\": [380, 118, 414, 141]}, {\"cell\": \"0.863\", \"bbox\": [457, 124, 481, 135]}, {\"cell\": \"<b>Lymph-node</b><b>Status (N)</b>\", \"bbox\": [5, 145, 61, 168]}, {\"cell\": \"Absent (N0)Present (N1)\", \"bbox\": [112, 145, 164, 168]}, {\"cell\": \"9 (33.3)18 (66.7)\", \"bbox\": [207, 145, 246, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 145, 332, 168]}, {\"cell\": \"4 (44.4)10 (55.6)\", \"bbox\": [377, 145, 416, 168]}, {\"cell\": \"0.586\", \"bbox\": [457, 151, 481, 162]}, {\"cell\": \"<b>Tumor Size, <i>cm</i></b>\", \"bbox\": [5, 172, 72, 183]}, {\"cell\": \"<4\", \"bbox\": [132, 172, 144, 183]}, {\"cell\": \"14 (51.9)\", \"bbox\": [207, 172, 246, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 172, 335, 183]}, {\"cell\": \"4 (28.6)\", \"bbox\": [380, 172, 414, 183]}, {\"cell\": \"0.012\", \"bbox\": [457, 186, 481, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">4\", \"bbox\": [132, 201, 144, 212]}, {\"cell\": \"13 (48.1)\", \"bbox\": [207, 201, 246, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 201, 332, 212]}, {\"cell\": \"10 (76.9)\", \"bbox\": [377, 201, 416, 212]}, {\"cell\": \"<b>Perineural</b><b>Invasion (PNI)</b>\", \"bbox\": [5, 216, 70, 239]}, {\"cell\": \"No\", \"bbox\": [131, 222, 145, 233]}, {\"cell\": \"8 (29.6)\", \"bbox\": [210, 222, 243, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 222, 328, 233]}, {\"cell\": \"4 (50)\", \"bbox\": [384, 222, 410, 233]}, {\"cell\": \"0.901\", \"bbox\": [457, 229, 481, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [130, 243, 146, 254]}, {\"cell\": \"19 (70.4)\", \"bbox\": [207, 243, 246, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 243, 332, 254]}, {\"cell\": \"10 (52.6)\", \"bbox\": [377, 243, 416, 254]}, {\"cell\": \"<b>Resection margin</b><b>Status (R)</b>\", \"bbox\": [5, 258, 81, 281]}, {\"cell\": \"Negative (R0)\", \"bbox\": [109, 258, 168, 269]}, {\"cell\": \"17 (63)\", \"bbox\": [211, 258, 242, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [298, 258, 332, 269]}, {\"cell\": \"8 (47.1)\", \"bbox\": [380, 258, 414, 269]}, {\"cell\": \"0.516\", \"bbox\": [457, 271, 481, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive (R1)\", \"bbox\": [110, 284, 166, 296]}, {\"cell\": \"10 (37)\", \"bbox\": [211, 284, 242, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [302, 284, 328, 296]}, {\"cell\": \"6 (60)\", \"bbox\": [384, 284, 410, 296]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5922373_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}792{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Practice assessing questions responses</b></td><td><b>Number</b></td><td><b>Percent %</b></td></tr></thead><tbody><tr><td>Child drank juice or juice drinks yesterday during day or night</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>98</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>Child ate injera, bread, rice made from teff, oat, maize, barley, wheat</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>5.3</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>94.7</td></tr><tr><td>Child ate tinned, powdered, fresh animal milk or yoghurt yesterday</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>56.1</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>43.9</td></tr><tr><td>Child ate pumpkin, carrot, squash, or sweet potato that are yellow</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>96.7</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>3.3</td></tr><tr><td>Child ate ripe mango or papaya yesterday during day or night</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>98</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>Child ate any dark green leafy vegetables like kale, spinach</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>77.3</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>22.7</td></tr><tr><td>Child ate any other fruit or vegetables yesterday during day or night</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>79.7</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>20.3</td></tr><tr><td>Child ate meat of ox, pig, hen, sheep, or calf yesterday during day or night</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>90.3</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>9.7</td></tr><tr><td>Child ate rgg yesterday during day or night</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>51.1</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>48.9</td></tr><tr><td>Child ate any foods made from beans, peas, lentils, or nuts yesterday</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>18</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>82</td></tr><tr><td>Dietary diversity practice status of mother</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Not good</td><td>[EMPTY_CELL]</td><td>84</td></tr><tr><td> Good</td><td>[EMPTY_CELL]</td><td>16</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Practice assessing questions responses</b>\", \"bbox\": [2, 5, 141, 16]}, {\"cell\": \"<b>Number</b>\", \"bbox\": [165, 4, 197, 15]}, {\"cell\": \"<b>Percent %</b>\", \"bbox\": [203, 4, 241, 15]}, {\"cell\": \"Child drank juice or juice drinks yesterday during day or night\", \"bbox\": [2, 19, 157, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 43, 24, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 42, 189, 53]}, {\"cell\": \"98\", \"bbox\": [216, 42, 227, 53]}, {\"cell\": \" Yes\", \"bbox\": [11, 57, 25, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 56, 186, 67]}, {\"cell\": \"2\", \"bbox\": [219, 56, 225, 67]}, {\"cell\": \"Child ate injera, bread, rice made from teff, oat, maize, barley, wheat\", \"bbox\": [2, 70, 158, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 94, 24, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 93, 186, 104]}, {\"cell\": \"5.3\", \"bbox\": [216, 93, 228, 104]}, {\"cell\": \" Yes\", \"bbox\": [11, 108, 25, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 107, 189, 118]}, {\"cell\": \"94.7\", \"bbox\": [213, 107, 230, 118]}, {\"cell\": \"Child ate tinned, powdered, fresh animal milk or yoghurt yesterday\", \"bbox\": [3, 121, 151, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 146, 24, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 145, 189, 155]}, {\"cell\": \"56.1\", \"bbox\": [214, 145, 230, 155]}, {\"cell\": \" Yes\", \"bbox\": [11, 160, 25, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 159, 189, 169]}, {\"cell\": \"43.9\", \"bbox\": [213, 159, 230, 169]}, {\"cell\": \"Child ate pumpkin, carrot, squash, or sweet potato that are yellow\", \"bbox\": [3, 173, 160, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 197, 24, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 196, 189, 207]}, {\"cell\": \"96.7\", \"bbox\": [213, 196, 230, 207]}, {\"cell\": \" Yes\", \"bbox\": [11, 211, 25, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 210, 187, 221]}, {\"cell\": \"3.3\", \"bbox\": [216, 210, 228, 221]}, {\"cell\": \"Child ate ripe mango or papaya yesterday during day or night\", \"bbox\": [3, 224, 153, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 249, 24, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 248, 189, 258]}, {\"cell\": \"98\", \"bbox\": [216, 248, 227, 258]}, {\"cell\": \" Yes\", \"bbox\": [11, 263, 25, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [177, 262, 186, 272]}, {\"cell\": \"2\", \"bbox\": [219, 262, 225, 272]}, {\"cell\": \"Child ate any dark green leafy vegetables like kale, spinach\", \"bbox\": [3, 276, 164, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 300, 24, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 299, 188, 310]}, {\"cell\": \"77.3\", \"bbox\": [214, 299, 229, 310]}, {\"cell\": \" Yes\", \"bbox\": [11, 314, 25, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 313, 188, 324]}, {\"cell\": \"22.7\", \"bbox\": [214, 313, 230, 324]}, {\"cell\": \"Child ate any other fruit or vegetables yesterday during day or night\", \"bbox\": [3, 327, 139, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 352, 24, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 350, 189, 361]}, {\"cell\": \"79.7\", \"bbox\": [214, 350, 230, 361]}, {\"cell\": \" Yes\", \"bbox\": [11, 366, 25, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 364, 188, 375]}, {\"cell\": \"20.3\", \"bbox\": [213, 364, 230, 375]}, {\"cell\": \"Child ate meat of ox, pig, hen, sheep, or calf yesterday during day or night\", \"bbox\": [3, 378, 161, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 403, 24, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 402, 189, 413]}, {\"cell\": \"90.3\", \"bbox\": [213, 402, 230, 413]}, {\"cell\": \" Yes\", \"bbox\": [11, 417, 25, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 416, 187, 427]}, {\"cell\": \"9.7\", \"bbox\": [216, 416, 228, 427]}, {\"cell\": \"Child ate rgg yesterday during day or night\", \"bbox\": [3, 431, 158, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 445, 24, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 444, 189, 455]}, {\"cell\": \"51.1\", \"bbox\": [215, 444, 229, 455]}, {\"cell\": \" Yes\", \"bbox\": [11, 459, 25, 470]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 458, 189, 469]}, {\"cell\": \"48.9\", \"bbox\": [213, 458, 230, 469]}, {\"cell\": \"Child ate any foods made from beans, peas, lentils, or nuts yesterday\", \"bbox\": [3, 472, 160, 493]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [11, 496, 25, 507]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 495, 188, 506]}, {\"cell\": \"18\", \"bbox\": [217, 495, 226, 506]}, {\"cell\": \" Yes\", \"bbox\": [11, 510, 25, 521]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 509, 189, 520]}, {\"cell\": \"82\", \"bbox\": [217, 509, 227, 520]}, {\"cell\": \"Dietary diversity practice status of mother\", \"bbox\": [3, 524, 155, 535]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Not good\", \"bbox\": [11, 538, 47, 549]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 537, 189, 548]}, {\"cell\": \"84\", \"bbox\": [216, 537, 227, 548]}, {\"cell\": \" Good\", \"bbox\": [11, 552, 34, 563]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 551, 188, 562]}, {\"cell\": \"16\", \"bbox\": [217, 551, 227, 562]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5405353_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}793{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Factor</b></td><td><b>Parameter Estimate (95% CI)</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\">Mean arterial blood pressure</td></tr><tr><td> Smoker</td><td>−0.17 (−7.13 to 6.79)</td><td>[EMPTY_CELL]</td></tr><tr><td> Male sex</td><td>2.17 (−4.60 to 8.95)</td><td>[EMPTY_CELL]</td></tr><tr><td> Age</td><td>0.11 (−.33 to .55)</td><td>[EMPTY_CELL]</td></tr><tr><td> Body mass index</td><td>0.43 (−.47 to 1.33)</td><td>[EMPTY_CELL]</td></tr><tr><td> Antihypertensive</td><td>−2.13 (−9.08 to 4.81)</td><td>[EMPTY_CELL]</td></tr><tr><td> CD8<sup>+</sup> effector T-cell count,<sup>a</sup> per 10-fold increase</td><td>8.31 (2.20–14.42)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Diastolic blood pressure</td></tr><tr><td> Smoker</td><td>0.12 (−7.52 to 7.77)</td><td>[EMPTY_CELL]</td></tr><tr><td> Male sex</td><td>1.02 (−6.42 to 8.46)</td><td>[EMPTY_CELL]</td></tr><tr><td> Age</td><td>−0.17 (−.65 to .32)</td><td>[EMPTY_CELL]</td></tr><tr><td> Body mass index</td><td>0.61 (−.38 to 1.61)</td><td>[EMPTY_CELL]</td></tr><tr><td> Antihypertensive</td><td>−1.94 (−9.57 to 5.70)</td><td>[EMPTY_CELL]</td></tr><tr><td> CD8<sup>+</sup> effector T-cell count,<sup>a</sup> per 10-fold increase</td><td>9.51 (2.80–16.22)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Factor</b>\", \"bbox\": [1, 18, 24, 28]}, {\"cell\": \"<b>Parameter Estimate (95% CI)</b>\", \"bbox\": [133, 8, 198, 28]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [229, 18, 236, 26]}, {\"cell\": \"Mean arterial blood pressure\", \"bbox\": [1, 33, 102, 43]}, {\"cell\": \" Smoker\", \"bbox\": [8, 45, 38, 55]}, {\"cell\": \"−0.17 (−7.13 to 6.79)\", \"bbox\": [128, 45, 204, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 45, 242, 55]}, {\"cell\": \" Male sex\", \"bbox\": [8, 57, 42, 67]}, {\"cell\": \"2.17 (−4.60 to 8.95)\", \"bbox\": [133, 57, 204, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 57, 242, 67]}, {\"cell\": \" Age\", \"bbox\": [8, 69, 25, 79]}, {\"cell\": \"0.11 (−.33 to .55)\", \"bbox\": [133, 69, 195, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 69, 242, 79]}, {\"cell\": \" Body mass index\", \"bbox\": [8, 81, 70, 91]}, {\"cell\": \"0.43 (−.47 to 1.33)\", \"bbox\": [133, 81, 199, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 81, 242, 91]}, {\"cell\": \" Antihypertensive\", \"bbox\": [8, 93, 70, 103]}, {\"cell\": \"−2.13 (−9.08 to 4.81)\", \"bbox\": [128, 93, 204, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 93, 242, 103]}, {\"cell\": \" CD8<sup>+</sup> effector T-cell count,<sup>a</sup> per 10-fold increase\", \"bbox\": [8, 104, 106, 124]}, {\"cell\": \"8.31 (2.20–14.42)\", \"bbox\": [133, 105, 196, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 105, 242, 115]}, {\"cell\": \"Diastolic blood pressure\", \"bbox\": [0, 126, 86, 136]}, {\"cell\": \" Smoker\", \"bbox\": [8, 138, 38, 148]}, {\"cell\": \"0.12 (−7.52 to 7.77)\", \"bbox\": [133, 138, 204, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 138, 242, 148]}, {\"cell\": \" Male sex\", \"bbox\": [8, 150, 42, 160]}, {\"cell\": \"1.02 (−6.42 to 8.46)\", \"bbox\": [133, 150, 204, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 150, 242, 160]}, {\"cell\": \" Age\", \"bbox\": [8, 162, 25, 172]}, {\"cell\": \"−0.17 (−.65 to .32)\", \"bbox\": [128, 162, 195, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 162, 242, 172]}, {\"cell\": \" Body mass index\", \"bbox\": [8, 174, 70, 184]}, {\"cell\": \"0.61 (−.38 to 1.61)\", \"bbox\": [133, 174, 199, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 174, 242, 184]}, {\"cell\": \" Antihypertensive\", \"bbox\": [8, 186, 70, 196]}, {\"cell\": \"−1.94 (−9.57 to 5.70)\", \"bbox\": [128, 186, 204, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 186, 242, 196]}, {\"cell\": \" CD8<sup>+</sup> effector T-cell count,<sup>a</sup> per 10-fold increase\", \"bbox\": [8, 197, 106, 217]}, {\"cell\": \"9.51 (2.80–16.22)\", \"bbox\": [133, 198, 196, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 198, 242, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3982844_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}794{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Parameter</b></td><td rowspan=\\\"2\\\"><b>Group</b></td><td><b>Mean operator values</b></td><td><b>Mean difference</b></td><td rowspan=\\\"2\\\"><b><i>p</i> value</b></td></tr><tr><td><b>±SD</b></td><td><b>(95 % CI)</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>HS</td><td>6.3 ± 1.2</td><td>−0.7 (−1.3 to −0.11)</td><td>0.020</td></tr><tr><td>[EMPTY_CELL]</td><td>8.7 ± 2.9</td><td>−0.4 (−1.2 to 0.4)</td><td>0.390</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>HS</td><td>466 ± 33</td><td>+7.9 (2.3 to 13.5)</td><td>0.007</td></tr><tr><td>[EMPTY_CELL]</td><td>470 ± 36</td><td>+8.4 (0.1 to 16.8)</td><td>0.050</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>HS</td><td>77 ± 12</td><td>+8.2 (3.1 to 13.2)</td><td>0.002</td></tr><tr><td>[EMPTY_CELL]</td><td>60 ± 21</td><td>+5.7 (0.4 to 11.0)</td><td>0.040</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>HS</td><td>117 ± 12</td><td>−2.3 (−5.3 to 0.7)</td><td>0.130</td></tr><tr><td>[EMPTY_CELL]</td><td>138 ± 22</td><td>+1.3 (−3.3 to 5.9)</td><td>0.580</td></tr><tr><td>[EMPTY_CELL]</td><td>HS</td><td>70 ± 9</td><td>−1.3 (−2.9 to 0.3)</td><td>0.100</td></tr><tr><td>[EMPTY_CELL]</td><td>ESRD</td><td>67 ± 10</td><td>+0.9 (−1.2 to 2.9)</td><td>0.620</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>HS</td><td>15 ± 14</td><td>−0.5 (−2.7 to 1.7)</td><td>0.630</td></tr><tr><td>[EMPTY_CELL]</td><td>24 ± 11</td><td>−1.5 (−6.2 to 3.1)</td><td>0.520</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>HS</td><td>35 ± 5</td><td>+0.3 (−1.3 to 1.9)</td><td>0.680</td></tr><tr><td>[EMPTY_CELL]</td><td>57 ± 20</td><td>+0.3 (−3.0 to 3.5)</td><td>0.870</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [1, 4, 35, 13]}, {\"cell\": \"<b>Group</b>\", \"bbox\": [64, 4, 86, 13]}, {\"cell\": \"<b>Mean operator values</b>\", \"bbox\": [90, 4, 142, 22]}, {\"cell\": \"<b>Mean difference</b>\", \"bbox\": [146, 4, 179, 22]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [198, 4, 224, 13]}, {\"cell\": \"<b>±SD</b>\", \"bbox\": [90, 26, 106, 36]}, {\"cell\": \"<b>(95 % CI)</b>\", \"bbox\": [146, 26, 176, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 39, 69, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 53, 44, 63]}, {\"cell\": \"HS\", \"bbox\": [64, 53, 75, 63]}, {\"cell\": \"6.3 ± 1.2\", \"bbox\": [90, 53, 118, 63]}, {\"cell\": \"−0.7 (−1.3 to −0.11)\", \"bbox\": [146, 53, 194, 72]}, {\"cell\": \"0.020\", \"bbox\": [198, 53, 217, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 76, 83, 86]}, {\"cell\": \"8.7 ± 2.9\", \"bbox\": [90, 76, 118, 86]}, {\"cell\": \"−0.4 (−1.2 to 0.4)\", \"bbox\": [146, 76, 186, 95]}, {\"cell\": \"0.390\", \"bbox\": [198, 76, 217, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 48, 118]}, {\"cell\": \"HS\", \"bbox\": [64, 99, 75, 109]}, {\"cell\": \"466 ± 33\", \"bbox\": [90, 99, 119, 109]}, {\"cell\": \"+7.9 (2.3 to 13.5)\", \"bbox\": [146, 99, 185, 118]}, {\"cell\": \"0.007\", \"bbox\": [198, 99, 217, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 122, 83, 132]}, {\"cell\": \"470 ± 36\", \"bbox\": [90, 122, 119, 132]}, {\"cell\": \"+8.4 (0.1 to 16.8)\", \"bbox\": [146, 122, 185, 141]}, {\"cell\": \"0.050\", \"bbox\": [198, 122, 217, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 145, 45, 164]}, {\"cell\": \"HS\", \"bbox\": [64, 145, 75, 155]}, {\"cell\": \"77 ± 12\", \"bbox\": [90, 145, 115, 155]}, {\"cell\": \"+8.2 (3.1 to 13.2)\", \"bbox\": [146, 145, 185, 164]}, {\"cell\": \"0.002\", \"bbox\": [198, 145, 217, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 168, 83, 178]}, {\"cell\": \"60 ± 21\", \"bbox\": [90, 168, 115, 178]}, {\"cell\": \"+5.7 (0.4 to 11.0)\", \"bbox\": [146, 168, 185, 187]}, {\"cell\": \"0.040\", \"bbox\": [198, 168, 217, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 191, 43, 201]}, {\"cell\": \"HS\", \"bbox\": [64, 191, 75, 201]}, {\"cell\": \"117 ± 12\", \"bbox\": [90, 191, 119, 201]}, {\"cell\": \"−2.3 (−5.3 to 0.7)\", \"bbox\": [146, 191, 186, 210]}, {\"cell\": \"0.130\", \"bbox\": [198, 191, 217, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 214, 83, 224]}, {\"cell\": \"138 ± 22\", \"bbox\": [90, 214, 119, 224]}, {\"cell\": \"+1.3 (−3.3 to 5.9)\", \"bbox\": [146, 214, 186, 233]}, {\"cell\": \"0.580\", \"bbox\": [198, 214, 217, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 237, 47, 247]}, {\"cell\": \"HS\", \"bbox\": [64, 237, 75, 247]}, {\"cell\": \"70 ± 9\", \"bbox\": [90, 237, 112, 247]}, {\"cell\": \"−1.3 (−2.9 to 0.3)\", \"bbox\": [146, 237, 186, 256]}, {\"cell\": \"0.100\", \"bbox\": [198, 237, 217, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ESRD\", \"bbox\": [64, 260, 83, 270]}, {\"cell\": \"67 ± 10\", \"bbox\": [90, 260, 115, 270]}, {\"cell\": \"+0.9 (−1.2 to 2.9)\", \"bbox\": [146, 260, 186, 279]}, {\"cell\": \"0.620\", \"bbox\": [198, 260, 217, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 59, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 47, 307]}, {\"cell\": \"HS\", \"bbox\": [64, 297, 75, 307]}, {\"cell\": \"15 ± 14\", \"bbox\": [90, 297, 115, 307]}, {\"cell\": \"−0.5 (−2.7 to 1.7)\", \"bbox\": [146, 297, 186, 316]}, {\"cell\": \"0.630\", \"bbox\": [198, 297, 217, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 320, 83, 330]}, {\"cell\": \"24 ± 11\", \"bbox\": [90, 320, 115, 330]}, {\"cell\": \"−1.5 (−6.2 to 3.1)\", \"bbox\": [146, 320, 186, 339]}, {\"cell\": \"0.520\", \"bbox\": [198, 320, 217, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 343, 60, 362]}, {\"cell\": \"HS\", \"bbox\": [64, 343, 75, 353]}, {\"cell\": \"35 ± 5\", \"bbox\": [90, 343, 112, 353]}, {\"cell\": \"+0.3 (−1.3 to 1.9)\", \"bbox\": [146, 343, 186, 362]}, {\"cell\": \"0.680\", \"bbox\": [198, 343, 217, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 366, 83, 376]}, {\"cell\": \"57 ± 20\", \"bbox\": [90, 366, 115, 376]}, {\"cell\": \"+0.3 (−3.0 to 3.5)\", \"bbox\": [146, 366, 186, 385]}, {\"cell\": \"0.870\", \"bbox\": [198, 366, 217, 376]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4818522_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}795{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>IPH (n = 56)</b></td><td><b><i>P </i>value</b></td><td><b>SDH (n = 22)</b></td><td><b><i>P </i>value</b></td><td><b>SAH (n = 15)</b></td><td><b><i>P </i>value</b></td></tr></thead><tbody><tr><td>Gender:</td><td>[EMPTY_CELL]</td><td>0.137</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.552</td></tr><tr><td>Male</td><td>40</td><td>[EMPTY_CELL]</td><td>12</td><td>[EMPTY_CELL]</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td>Female</td><td>16</td><td>[EMPTY_CELL]</td><td>10</td><td>[EMPTY_CELL]</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>Age:</td><td>[EMPTY_CELL]</td><td>0.009</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>>0.999</td></tr><tr><td>≥60 years</td><td>20</td><td>[EMPTY_CELL]</td><td>16</td><td>[EMPTY_CELL]</td><td>7</td><td>[EMPTY_CELL]</td></tr><tr><td><60 years</td><td>36</td><td>[EMPTY_CELL]</td><td>6</td><td>[EMPTY_CELL]</td><td>8</td><td>[EMPTY_CELL]</td></tr><tr><td>Underlying hypertension:</td><td>[EMPTY_CELL]</td><td>0.335</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.324</td></tr><tr><td>Yes</td><td>13</td><td>[EMPTY_CELL]</td><td>7</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>43</td><td>[EMPTY_CELL]</td><td>15</td><td>[EMPTY_CELL]</td><td>13</td><td>[EMPTY_CELL]</td></tr><tr><td>Sepsis:</td><td>[EMPTY_CELL]</td><td>0.168</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.384</td></tr><tr><td>Yes</td><td>29</td><td>[EMPTY_CELL]</td><td>8</td><td>[EMPTY_CELL]</td><td>9</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>27</td><td>[EMPTY_CELL]</td><td>14</td><td>[EMPTY_CELL]</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>Remission status:</td><td>[EMPTY_CELL]</td><td>>0.999</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.669</td></tr><tr><td>Yes</td><td>6</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>50</td><td>[EMPTY_CELL]</td><td>21</td><td>[EMPTY_CELL]</td><td>13</td><td>[EMPTY_CELL]</td></tr><tr><td>CNS involvement:</td><td>[EMPTY_CELL]</td><td>0.609</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>>0.999</td></tr><tr><td>Yes</td><td>4</td><td>[EMPTY_CELL]</td><td>3</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>52</td><td>[EMPTY_CELL]</td><td>19</td><td>[EMPTY_CELL]</td><td>14</td><td>[EMPTY_CELL]</td></tr><tr><td>Leukocyte count:</td><td>[EMPTY_CELL]</td><td>0.056</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.060</td></tr><tr><td>≥100,000 cells/μl</td><td>12</td><td>[EMPTY_CELL]</td><td>1</td><td>[EMPTY_CELL]</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td><100,000 cells/μl</td><td>44</td><td>[EMPTY_CELL]</td><td>21</td><td>[EMPTY_CELL]</td><td>15</td><td>[EMPTY_CELL]</td></tr><tr><td>Platelet count:</td><td>[EMPTY_CELL]</td><td>>0.999</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.376</td></tr><tr><td>≥20,000 cells/μl</td><td>36</td><td>[EMPTY_CELL]</td><td>9</td><td>[EMPTY_CELL]</td><td>7</td><td>[EMPTY_CELL]</td></tr><tr><td><20,000 cells/μl</td><td>20</td><td>[EMPTY_CELL]</td><td>13</td><td>[EMPTY_CELL]</td><td>8</td><td>[EMPTY_CELL]</td></tr><tr><td>Prothrombin time:</td><td>[EMPTY_CELL]</td><td>0.495</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.069</td></tr><tr><td>INR ≥1.5</td><td>43</td><td>[EMPTY_CELL]</td><td>2</td><td>[EMPTY_CELL]</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>INR <1.5</td><td>13</td><td>[EMPTY_CELL]</td><td>20</td><td>[EMPTY_CELL]</td><td>9</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>IPH (n = 56)</b>\", \"bbox\": [110, 4, 154, 13]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [180, 4, 207, 13]}, {\"cell\": \"<b>SDH (n = 22)</b>\", \"bbox\": [234, 4, 281, 13]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [307, 4, 335, 13]}, {\"cell\": \"<b>SAH (n = 15)</b>\", \"bbox\": [361, 4, 408, 13]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [435, 4, 462, 13]}, {\"cell\": \"Gender:\", \"bbox\": [1, 17, 27, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.137\", \"bbox\": [180, 17, 199, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 17, 326, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.552\", \"bbox\": [435, 17, 453, 27]}, {\"cell\": \"Male\", \"bbox\": [1, 29, 18, 39]}, {\"cell\": \"40\", \"bbox\": [110, 29, 119, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"12\", \"bbox\": [234, 29, 244, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [361, 29, 367, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [1, 41, 26, 51]}, {\"cell\": \"16\", \"bbox\": [110, 41, 119, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"10\", \"bbox\": [234, 41, 244, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [361, 41, 367, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age:\", \"bbox\": [1, 53, 17, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.009\", \"bbox\": [180, 53, 199, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 53, 326, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">0.999\", \"bbox\": [435, 53, 458, 63]}, {\"cell\": \"≥60 years\", \"bbox\": [1, 65, 34, 75]}, {\"cell\": \"20\", \"bbox\": [110, 65, 119, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16\", \"bbox\": [234, 65, 244, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [361, 65, 367, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<60 years\", \"bbox\": [1, 77, 34, 86]}, {\"cell\": \"36\", \"bbox\": [110, 77, 119, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [234, 77, 240, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [361, 77, 367, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Underlying hypertension:\", \"bbox\": [1, 89, 83, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.335\", \"bbox\": [180, 89, 199, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 89, 326, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.324\", \"bbox\": [435, 89, 453, 98]}, {\"cell\": \"Yes\", \"bbox\": [1, 101, 13, 110]}, {\"cell\": \"13\", \"bbox\": [110, 101, 119, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [234, 101, 240, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [361, 101, 367, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 113, 12, 122]}, {\"cell\": \"43\", \"bbox\": [110, 113, 119, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"15\", \"bbox\": [234, 113, 244, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13\", \"bbox\": [361, 113, 371, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sepsis:\", \"bbox\": [1, 125, 23, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.168\", \"bbox\": [180, 125, 199, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 125, 326, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.384\", \"bbox\": [435, 125, 453, 134]}, {\"cell\": \"Yes\", \"bbox\": [1, 137, 13, 146]}, {\"cell\": \"29\", \"bbox\": [110, 137, 119, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [234, 137, 240, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [361, 137, 367, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 149, 12, 158]}, {\"cell\": \"27\", \"bbox\": [110, 149, 119, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14\", \"bbox\": [234, 149, 244, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [361, 149, 367, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Remission status:\", \"bbox\": [1, 161, 57, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">0.999\", \"bbox\": [180, 161, 203, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 161, 326, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.669\", \"bbox\": [435, 161, 453, 170]}, {\"cell\": \"Yes\", \"bbox\": [1, 173, 13, 182]}, {\"cell\": \"6\", \"bbox\": [110, 173, 115, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [234, 173, 240, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [361, 173, 367, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 185, 12, 194]}, {\"cell\": \"50\", \"bbox\": [110, 185, 119, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"21\", \"bbox\": [234, 185, 244, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13\", \"bbox\": [361, 185, 371, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CNS involvement:\", \"bbox\": [1, 197, 59, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.609\", \"bbox\": [180, 197, 199, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 197, 326, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">0.999\", \"bbox\": [435, 197, 458, 206]}, {\"cell\": \"Yes\", \"bbox\": [1, 209, 13, 218]}, {\"cell\": \"4\", \"bbox\": [110, 209, 115, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [234, 209, 240, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [361, 209, 367, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 220, 12, 230]}, {\"cell\": \"52\", \"bbox\": [110, 220, 119, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"19\", \"bbox\": [234, 220, 244, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14\", \"bbox\": [361, 220, 371, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Leukocyte count:\", \"bbox\": [1, 232, 57, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.056\", \"bbox\": [180, 232, 199, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 232, 326, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.060\", \"bbox\": [435, 232, 453, 242]}, {\"cell\": \"≥100,000 cells/μl\", \"bbox\": [1, 244, 56, 254]}, {\"cell\": \"12\", \"bbox\": [110, 244, 119, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [234, 244, 240, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0\", \"bbox\": [361, 244, 367, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<100,000 cells/μl\", \"bbox\": [1, 256, 56, 266]}, {\"cell\": \"44\", \"bbox\": [110, 256, 119, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"21\", \"bbox\": [234, 256, 244, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"15\", \"bbox\": [361, 256, 371, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Platelet count:\", \"bbox\": [1, 268, 48, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">0.999\", \"bbox\": [180, 268, 203, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 268, 326, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.376\", \"bbox\": [435, 268, 453, 278]}, {\"cell\": \"≥20,000 cells/μl\", \"bbox\": [1, 280, 52, 290]}, {\"cell\": \"36\", \"bbox\": [110, 280, 119, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [234, 280, 240, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [361, 280, 367, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<20,000 cells/μl\", \"bbox\": [1, 292, 52, 302]}, {\"cell\": \"20\", \"bbox\": [110, 292, 119, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13\", \"bbox\": [234, 292, 244, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8\", \"bbox\": [361, 292, 367, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prothrombin time:\", \"bbox\": [1, 304, 61, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.495\", \"bbox\": [180, 304, 199, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [307, 304, 326, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.069\", \"bbox\": [434, 304, 453, 314]}, {\"cell\": \"INR ≥1.5\", \"bbox\": [1, 316, 29, 326]}, {\"cell\": \"43\", \"bbox\": [110, 316, 119, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [234, 316, 240, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [361, 316, 367, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"INR <1.5\", \"bbox\": [1, 328, 30, 338]}, {\"cell\": \"13\", \"bbox\": [110, 328, 119, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [234, 328, 244, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9\", \"bbox\": [361, 328, 367, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3482556_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}796{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Frequently, %</b></td><td><b>Sometimes, %</b></td><td><b>Never, %</b></td></tr></thead><tbody><tr><td><i>How often do you hear people make negative comments about other specialties?</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Medical students</td><td>44.7</td><td>[EMPTY_CELL]</td><td>3.2</td></tr><tr><td>Consultants during placements</td><td>32.8</td><td>[EMPTY_CELL]</td><td>10.2</td></tr><tr><td>Registrars during placements</td><td>26.8</td><td>[EMPTY_CELL]</td><td>10.2</td></tr><tr><td>Junior doctors during placements</td><td>20.1</td><td>[EMPTY_CELL]</td><td>9.9</td></tr><tr><td>Academic staff</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Medical (e.g. professors, clinical lecturers)</td><td>19.6</td><td>[EMPTY_CELL]</td><td>7.6</td></tr><tr><td>Non-medical (e.g. non-clinical lecturers)</td><td>10.5</td><td>[EMPTY_CELL]</td><td>14.1</td></tr><tr><td><i>How often do you personally make negative comments about the following specialties?</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Surgery (e.g. ENT, orthopaedics)</td><td>9.6</td><td>[EMPTY_CELL]</td><td>34.1</td></tr><tr><td>General practice</td><td>9.1</td><td>[EMPTY_CELL]</td><td>31.6</td></tr><tr><td>Psychiatry</td><td>7.3</td><td>[EMPTY_CELL]</td><td>35.7</td></tr><tr><td>Radiology</td><td>3.8</td><td>[EMPTY_CELL]</td><td>45.5</td></tr><tr><td>Obstetrics and gynaecology</td><td>3.2</td><td>[EMPTY_CELL]</td><td>50.1</td></tr><tr><td>Anaesthetics</td><td>2.8</td><td>[EMPTY_CELL]</td><td>52.7</td></tr><tr><td>Hospital medicine (e.g. cardiology, respiratory medicine)</td><td>1.5</td><td>[EMPTY_CELL]</td><td>55.3</td></tr><tr><td>Emergency medicine</td><td>1.1</td><td>[EMPTY_CELL]</td><td>63.4</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Frequently, %</b>\", \"bbox\": [333, 10, 379, 19]}, {\"cell\": \"<b>Sometimes, %</b>\", \"bbox\": [386, 10, 434, 19]}, {\"cell\": \"<b>Never, %</b>\", \"bbox\": [449, 10, 480, 19]}, {\"cell\": \"<i>How often do you hear people make negative comments about other specialties?</i>\", \"bbox\": [7, 24, 277, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medical students\", \"bbox\": [7, 33, 68, 42]}, {\"cell\": \"44.7\", \"bbox\": [348, 33, 364, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 33, 418, 43]}, {\"cell\": \"3.2\", \"bbox\": [460, 33, 472, 43]}, {\"cell\": \"Consultants during placements\", \"bbox\": [7, 42, 115, 51]}, {\"cell\": \"32.8\", \"bbox\": [348, 42, 364, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 42, 418, 51]}, {\"cell\": \"10.2\", \"bbox\": [456, 42, 473, 51]}, {\"cell\": \"Registrars during placements\", \"bbox\": [7, 51, 109, 60]}, {\"cell\": \"26.8\", \"bbox\": [348, 51, 364, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 51, 418, 60]}, {\"cell\": \"10.2\", \"bbox\": [456, 51, 473, 60]}, {\"cell\": \"Junior doctors during placements\", \"bbox\": [7, 60, 124, 69]}, {\"cell\": \"20.1\", \"bbox\": [348, 60, 364, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 60, 418, 69]}, {\"cell\": \"9.9\", \"bbox\": [460, 60, 472, 69]}, {\"cell\": \"Academic staff\", \"bbox\": [7, 69, 61, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medical (e.g. professors, clinical lecturers)\", \"bbox\": [15, 78, 164, 87]}, {\"cell\": \"19.6\", \"bbox\": [348, 78, 364, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 78, 418, 87]}, {\"cell\": \"7.6\", \"bbox\": [460, 78, 472, 87]}, {\"cell\": \"Non-medical (e.g. non-clinical lecturers)\", \"bbox\": [15, 87, 155, 96]}, {\"cell\": \"10.5\", \"bbox\": [348, 87, 364, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 87, 418, 96]}, {\"cell\": \"14.1\", \"bbox\": [456, 87, 473, 96]}, {\"cell\": \"<i>How often do you personally make negative comments about the following specialties?</i>\", \"bbox\": [7, 100, 297, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Surgery (e.g. ENT, orthopaedics)\", \"bbox\": [7, 109, 121, 118]}, {\"cell\": \"9.6\", \"bbox\": [352, 109, 364, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 109, 418, 119]}, {\"cell\": \"34.1\", \"bbox\": [456, 109, 473, 119]}, {\"cell\": \"General practice\", \"bbox\": [7, 118, 65, 127]}, {\"cell\": \"9.1\", \"bbox\": [352, 118, 364, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 118, 418, 128]}, {\"cell\": \"31.6\", \"bbox\": [456, 118, 473, 128]}, {\"cell\": \"Psychiatry\", \"bbox\": [7, 127, 44, 136]}, {\"cell\": \"7.3\", \"bbox\": [352, 127, 364, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 127, 418, 136]}, {\"cell\": \"35.7\", \"bbox\": [456, 127, 473, 136]}, {\"cell\": \"Radiology\", \"bbox\": [7, 136, 42, 145]}, {\"cell\": \"3.8\", \"bbox\": [352, 136, 364, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 136, 418, 145]}, {\"cell\": \"45.5\", \"bbox\": [456, 136, 473, 145]}, {\"cell\": \"Obstetrics and gynaecology\", \"bbox\": [7, 145, 105, 154]}, {\"cell\": \"3.2\", \"bbox\": [352, 145, 364, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 145, 418, 154]}, {\"cell\": \"50.1\", \"bbox\": [456, 145, 473, 154]}, {\"cell\": \"Anaesthetics\", \"bbox\": [7, 154, 53, 163]}, {\"cell\": \"2.8\", \"bbox\": [352, 154, 364, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 154, 418, 163]}, {\"cell\": \"52.7\", \"bbox\": [456, 154, 473, 163]}, {\"cell\": \"Hospital medicine (e.g. cardiology, respiratory medicine)\", \"bbox\": [7, 163, 204, 172]}, {\"cell\": \"1.5\", \"bbox\": [352, 163, 364, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 163, 418, 172]}, {\"cell\": \"55.3\", \"bbox\": [456, 163, 473, 172]}, {\"cell\": \"Emergency medicine\", \"bbox\": [7, 172, 80, 181]}, {\"cell\": \"1.1\", \"bbox\": [352, 172, 364, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [402, 172, 418, 181]}, {\"cell\": \"63.4\", \"bbox\": [456, 172, 473, 181]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4817656_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}797{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b><i>n</i> (%)<sup>a</sup></b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5(29)</td></tr><tr><td>[EMPTY_CELL]</td><td>6(35)</td></tr><tr><td>[EMPTY_CELL]</td><td>5(29)</td></tr><tr><td>[EMPTY_CELL]</td><td>1(6)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>15(94)</td></tr><tr><td>[EMPTY_CELL]</td><td>1(6)</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>15(94)</td></tr><tr><td>[EMPTY_CELL]</td><td>1(6)</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10(59)</td></tr><tr><td>[EMPTY_CELL]</td><td>7(41)</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9(56)</td></tr><tr><td>[EMPTY_CELL]</td><td>7(44)1</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3(19)</td></tr><tr><td>[EMPTY_CELL]</td><td>13(81)</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>n</i> (%)<sup>a</sup></b>\", \"bbox\": [204, 2, 225, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 106, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 116, 41]}, {\"cell\": \"5(29)\", \"bbox\": [204, 31, 221, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 169, 55]}, {\"cell\": \"6(35)\", \"bbox\": [204, 45, 221, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 183, 69]}, {\"cell\": \"5(29)\", \"bbox\": [204, 59, 221, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 69, 83]}, {\"cell\": \"1(6)\", \"bbox\": [204, 73, 217, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 226, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 110, 21, 120]}, {\"cell\": \"15(94)\", \"bbox\": [204, 110, 225, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 124, 20, 134]}, {\"cell\": \"1(6)\", \"bbox\": [204, 124, 217, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 138, 34, 148]}, {\"cell\": \"1\", \"bbox\": [204, 138, 209, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 176, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 166, 21, 176]}, {\"cell\": \"15(94)\", \"bbox\": [204, 166, 225, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 180, 68, 190]}, {\"cell\": \"1(6)\", \"bbox\": [204, 180, 217, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 194, 34, 204]}, {\"cell\": \"1\", \"bbox\": [204, 194, 209, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 208, 223, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 231, 21, 241]}, {\"cell\": \"10(59)\", \"bbox\": [204, 231, 225, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 245, 20, 255]}, {\"cell\": \"7(41)\", \"bbox\": [204, 245, 221, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 259, 231, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 291, 21, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 305, 20, 315]}, {\"cell\": \"9(56)\", \"bbox\": [204, 305, 221, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 319, 34, 329]}, {\"cell\": \"7(44)1\", \"bbox\": [204, 319, 225, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 333, 219, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 356, 21, 366]}, {\"cell\": \"3(19)\", \"bbox\": [204, 356, 221, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 370, 20, 380]}, {\"cell\": \"13(81)\", \"bbox\": [204, 370, 225, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 384, 34, 394]}, {\"cell\": \"1\", \"bbox\": [204, 384, 209, 394]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5521144_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}798{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Anthropometric data</b></td><td><b>Migrant children (n = 404)</b></td><td><b>Indigenous Mexican children <sup>1,2 </sup>(n = 861)</b></td><td><b>National survey <sup>1</sup> (n = 7707)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>31.4 ± 15.8</td><td>33.2</td><td>32.4 ± 27.4</td></tr><tr><td>[EMPTY_CELL]</td><td>12.1 ± 3.2</td><td>12.62</td><td>13.1 ± 5.9</td></tr><tr><td>[EMPTY_CELL]</td><td>85.4 ± 11.6</td><td>86.64</td><td>88.3 ± 23.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−1.4 ± 1.2</td><td>−1.39</td><td>−0.75 ± 2.4</td></tr><tr><td>[EMPTY_CELL]</td><td>0.3 ± 1.0</td><td>0.38</td><td>0.43 ± 1.8</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.6 ± 1.0</td><td>−0.53</td><td>−0.13 ± 1.9</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Anthropometric data</b>\", \"bbox\": [18, 12, 103, 39]}, {\"cell\": \"<b>Migrant children (n = 404)</b>\", \"bbox\": [125, 12, 215, 39]}, {\"cell\": \"<b>Indigenous Mexican children <sup>1,2 </sup>(n = 861)</b>\", \"bbox\": [234, 12, 340, 39]}, {\"cell\": \"<b>National survey <sup>1</sup> (n = 7707)</b>\", \"bbox\": [361, 9, 451, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 49, 58, 62]}, {\"cell\": \"31.4 ± 15.8\", \"bbox\": [141, 49, 198, 62]}, {\"cell\": \"33.2\", \"bbox\": [276, 49, 299, 62]}, {\"cell\": \"32.4 ± 27.4\", \"bbox\": [378, 49, 435, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 64, 70, 77]}, {\"cell\": \"12.1 ± 3.2\", \"bbox\": [145, 64, 195, 77]}, {\"cell\": \"12.62\", \"bbox\": [273, 64, 302, 77]}, {\"cell\": \"13.1 ± 5.9\", \"bbox\": [381, 64, 432, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 79, 70, 92]}, {\"cell\": \"85.4 ± 11.6\", \"bbox\": [141, 79, 198, 92]}, {\"cell\": \"86.64\", \"bbox\": [273, 79, 302, 92]}, {\"cell\": \"88.3 ± 23.3\", \"bbox\": [378, 79, 435, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 94, 53, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 109, 80, 122]}, {\"cell\": \"−1.4 ± 1.2\", \"bbox\": [144, 106, 196, 123]}, {\"cell\": \"−1.39\", \"bbox\": [272, 106, 302, 123]}, {\"cell\": \"−0.75 ± 2.4\", \"bbox\": [377, 106, 435, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 124, 96, 137]}, {\"cell\": \"0.3 ± 1.0\", \"bbox\": [147, 124, 192, 137]}, {\"cell\": \"0.38\", \"bbox\": [276, 124, 299, 137]}, {\"cell\": \"0.43 ± 1.8\", \"bbox\": [381, 124, 432, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 139, 82, 152]}, {\"cell\": \"−0.6 ± 1.0\", \"bbox\": [144, 136, 196, 154]}, {\"cell\": \"−0.53\", \"bbox\": [272, 136, 302, 154]}, {\"cell\": \"−0.13 ± 1.9\", \"bbox\": [377, 136, 435, 154]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3315082_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}799{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Study</b></td><td><b>Population</b></td><td><b>Period</b></td><td><b>Number of Women</b></td><td><b>MBD Classification</b></td><td colspan=\\\"2\\\"><b>Sensitivity</b></td><td><b>SF vs. FFDM</b></td></tr></thead><tbody><tr><td rowspan=\\\"3\\\">Mandelson et al., 2000 [9]</td><td rowspan=\\\"3\\\">US Breast Cancer Screening Program</td><td rowspan=\\\"3\\\">1988–1993</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td rowspan=\\\"3\\\">BI-RADS 3rd ed.</td><td>BI-RADS 1 + 2</td><td>80.3%</td><td rowspan=\\\"3\\\">SF</td></tr><tr><td>BI-RADS 3</td><td>58.8%</td></tr><tr><td>BI-RADS 4</td><td>30.4%</td></tr><tr><td rowspan=\\\"4\\\">Kolb, Lichy, and Newhouse, 2002 [11]</td><td rowspan=\\\"4\\\">US DMIST Trial</td><td rowspan=\\\"4\\\">1995–2000</td><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td rowspan=\\\"4\\\">BI-RADS 3rd ed.</td><td>BI-RADS1</td><td>98%</td><td rowspan=\\\"4\\\">SF</td></tr><tr><td>BI-RADS 2</td><td>82.9%</td></tr><tr><td>BI-RADS 3</td><td>64.4%</td></tr><tr><td>BI-RADS 4</td><td>47.8%</td></tr><tr><td rowspan=\\\"4\\\">Carney et al., 2003 [10]</td><td rowspan=\\\"4\\\">US Breast Cancer Surveillance Consortium</td><td rowspan=\\\"4\\\">1996–1999</td><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td rowspan=\\\"4\\\">BI-RADS 3rd ed.</td><td>BI-RADS1</td><td>88.2%</td><td rowspan=\\\"4\\\">SF</td></tr><tr><td>BI-RADS 2</td><td>82.1%</td></tr><tr><td>BI-RADS 3</td><td>68.9%</td></tr><tr><td>BI-RADS 4</td><td>62.2%</td></tr><tr><td rowspan=\\\"5\\\">Boyd et al., 2007 [6]</td><td rowspan=\\\"2\\\">National Breast Screening study (Canada)</td><td rowspan=\\\"2\\\">1981–1990</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"5\\\">SCC</td><td><10%</td><td>75.2%</td><td rowspan=\\\"5\\\">SF</td></tr><tr><td>10–25%</td><td>62.9%</td></tr><tr><td rowspan=\\\"2\\\">Screening Mammography Program of British Colombia</td><td rowspan=\\\"2\\\">1993–1999</td><td rowspan=\\\"2\\\">254,082 women</td><td>[EMPTY_CELL]</td><td>65.2%</td></tr><tr><td>50–75%</td><td>57.3%</td></tr><tr><td>Ontario Breast Screening Program</td><td>1996–2003</td><td>166,254 women</td><td>[EMPTY_CELL]</td><td>54.2%</td></tr><tr><td rowspan=\\\"4\\\">Kerlikowske et al., 2007 [8]</td><td rowspan=\\\"4\\\">US Breast Cancer Surveillance Consortium</td><td rowspan=\\\"4\\\">1996–2003</td><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td rowspan=\\\"4\\\">BI-RADS</td><td>BI-RADS1</td><td>89%</td><td rowspan=\\\"4\\\">SF</td></tr><tr><td>BI-RADS 2</td><td>84%</td></tr><tr><td>BI-RADS 3</td><td>77%</td></tr><tr><td>BI-RADS 4</td><td>64%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study</b>\", \"bbox\": [20, 8, 41, 17]}, {\"cell\": \"<b>Population</b>\", \"bbox\": [90, 8, 127, 17]}, {\"cell\": \"<b>Period</b>\", \"bbox\": [166, 8, 189, 17]}, {\"cell\": \"<b>Number of Women</b>\", \"bbox\": [205, 8, 267, 17]}, {\"cell\": \"<b>MBD Classification</b>\", \"bbox\": [278, 4, 322, 21]}, {\"cell\": \"<b>Sensitivity</b>\", \"bbox\": [349, 8, 385, 17]}, {\"cell\": \"<b>SF vs. FFDM</b>\", \"bbox\": [414, 4, 436, 21]}, {\"cell\": \"Mandelson et al., 2000 [9]\", \"bbox\": [9, 31, 52, 49]}, {\"cell\": \"US Breast Cancer Screening Program\", \"bbox\": [79, 31, 138, 48]}, {\"cell\": \"1988–1993\", \"bbox\": [161, 36, 194, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 23, 262, 57]}, {\"cell\": \"BI-RADS 3rd ed.\", \"bbox\": [279, 32, 321, 49]}, {\"cell\": \"BI-RADS 1 + 2\", \"bbox\": [330, 24, 376, 33]}, {\"cell\": \"80.3%\", \"bbox\": [384, 24, 403, 33]}, {\"cell\": \"SF\", \"bbox\": [420, 36, 429, 45]}, {\"cell\": \"BI-RADS 3\", \"bbox\": [336, 36, 370, 45]}, {\"cell\": \"58.8%\", \"bbox\": [384, 36, 403, 45]}, {\"cell\": \"BI-RADS 4\", \"bbox\": [336, 48, 370, 57]}, {\"cell\": \"30.4%\", \"bbox\": [384, 48, 403, 57]}, {\"cell\": \"Kolb, Lichy, and Newhouse, 2002 [11]\", \"bbox\": [6, 70, 56, 95]}, {\"cell\": \"US DMIST Trial\", \"bbox\": [83, 79, 133, 88]}, {\"cell\": \"1995–2000\", \"bbox\": [161, 79, 194, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 66, 267, 100]}, {\"cell\": \"BI-RADS 3rd ed.\", \"bbox\": [279, 74, 321, 92]}, {\"cell\": \"BI-RADS1\", \"bbox\": [337, 60, 369, 69]}, {\"cell\": \"98%\", \"bbox\": [386, 60, 401, 69]}, {\"cell\": \"SF\", \"bbox\": [420, 79, 429, 87]}, {\"cell\": \"BI-RADS 2\", \"bbox\": [336, 72, 370, 81]}, {\"cell\": \"82.9%\", \"bbox\": [384, 72, 403, 81]}, {\"cell\": \"BI-RADS 3\", \"bbox\": [336, 84, 370, 93]}, {\"cell\": \"64.4%\", \"bbox\": [384, 84, 403, 93]}, {\"cell\": \"BI-RADS 4\", \"bbox\": [336, 96, 370, 105]}, {\"cell\": \"47.8%\", \"bbox\": [384, 96, 403, 105]}, {\"cell\": \"Carney et al., 2003 [10]\", \"bbox\": [10, 122, 52, 139]}, {\"cell\": \"US Breast Cancer Surveillance Consortium\", \"bbox\": [70, 122, 147, 140]}, {\"cell\": \"1996–1999\", \"bbox\": [161, 127, 194, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 117, 264, 143]}, {\"cell\": \"BI-RADS 3rd ed.\", \"bbox\": [279, 123, 321, 140]}, {\"cell\": \"BI-RADS1\", \"bbox\": [337, 108, 369, 117]}, {\"cell\": \"88.2%\", \"bbox\": [384, 108, 403, 117]}, {\"cell\": \"SF\", \"bbox\": [420, 127, 429, 135]}, {\"cell\": \"BI-RADS 2\", \"bbox\": [336, 120, 370, 129]}, {\"cell\": \"82.1%\", \"bbox\": [384, 120, 403, 129]}, {\"cell\": \"BI-RADS 3\", \"bbox\": [336, 132, 370, 141]}, {\"cell\": \"68.9%\", \"bbox\": [384, 132, 403, 141]}, {\"cell\": \"BI-RADS 4\", \"bbox\": [336, 144, 370, 153]}, {\"cell\": \"62.2%\", \"bbox\": [384, 144, 403, 153]}, {\"cell\": \"Boyd et al., 2007 [6]\", \"bbox\": [13, 180, 49, 197]}, {\"cell\": \"National Breast Screening study (Canada)\", \"bbox\": [68, 156, 148, 173]}, {\"cell\": \"1981–1990\", \"bbox\": [161, 161, 194, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [214, 161, 259, 169]}, {\"cell\": \"SCC\", \"bbox\": [292, 184, 308, 193]}, {\"cell\": \"<10%\", \"bbox\": [344, 156, 362, 165]}, {\"cell\": \"75.2%\", \"bbox\": [384, 156, 403, 165]}, {\"cell\": \"SF\", \"bbox\": [420, 184, 429, 193]}, {\"cell\": \"10–25%\", \"bbox\": [341, 168, 365, 177]}, {\"cell\": \"62.9%\", \"bbox\": [384, 168, 403, 177]}, {\"cell\": \"Screening Mammography Program of British Colombia\", \"bbox\": [64, 180, 153, 197]}, {\"cell\": \"1993–1999\", \"bbox\": [161, 185, 194, 194]}, {\"cell\": \"254,082 women\", \"bbox\": [212, 185, 260, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [341, 180, 365, 189]}, {\"cell\": \"65.2%\", \"bbox\": [384, 180, 403, 189]}, {\"cell\": \"50–75%\", \"bbox\": [341, 192, 365, 201]}, {\"cell\": \"57.3%\", \"bbox\": [384, 192, 403, 201]}, {\"cell\": \"Ontario Breast Screening Program\", \"bbox\": [79, 204, 138, 222]}, {\"cell\": \"1996–2003\", \"bbox\": [161, 208, 194, 217]}, {\"cell\": \"166,254 women\", \"bbox\": [212, 208, 260, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [343, 208, 363, 217]}, {\"cell\": \"54.2%\", \"bbox\": [384, 208, 403, 217]}, {\"cell\": \"Kerlikowske et al., 2007 [8]\", \"bbox\": [9, 233, 52, 250]}, {\"cell\": \"US Breast Cancer Surveillance Consortium\", \"bbox\": [70, 234, 147, 251]}, {\"cell\": \"1996–2003\", \"bbox\": [161, 238, 194, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [209, 237, 263, 246]}, {\"cell\": \"BI-RADS\", \"bbox\": [285, 238, 315, 247]}, {\"cell\": \"BI-RADS1\", \"bbox\": [337, 225, 369, 234]}, {\"cell\": \"89%\", \"bbox\": [386, 225, 401, 234]}, {\"cell\": \"SF\", \"bbox\": [420, 238, 429, 247]}, {\"cell\": \"BI-RADS 2\", \"bbox\": [336, 233, 370, 242]}, {\"cell\": \"84%\", \"bbox\": [386, 233, 401, 242]}, {\"cell\": \"BI-RADS 3\", \"bbox\": [336, 241, 370, 250]}, {\"cell\": \"77%\", \"bbox\": [386, 241, 401, 250]}, {\"cell\": \"BI-RADS 4\", \"bbox\": [336, 250, 370, 259]}, {\"cell\": \"64%\", \"bbox\": [386, 250, 401, 259]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5489950_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}800{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Saffron group(n=23)</b></td><td><b>Fluvoxamine group(n=23)</b></td><td><b>P-value</b></td></tr></thead><tbody><tr><td>Age, years, mean ± SD</td><td>34.00 ± 7.14</td><td>[EMPTY_CELL]</td><td>0.19</td></tr><tr><td>Sex, female, n (%)</td><td>15 (65.2%)</td><td>[EMPTY_CELL]</td><td>0.54</td></tr><tr><td>duration of the disease (years), mean ± SD</td><td>10.26 ± 5.56</td><td>[EMPTY_CELL]</td><td>0.58</td></tr><tr><td><b>Education</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.33</td></tr><tr><td>Illiterate</td><td>5 (21.7%)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"5\\\">Non significant</td></tr><tr><td>primary</td><td>5 (21.7%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Middle</td><td>5 (21.7%)</td><td>[EMPTY_CELL]</td></tr><tr><td>High school</td><td>4(17.4%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Higher</td><td>4(17.4%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Smoking, n, %</td><td>8(34.8%)</td><td>[EMPTY_CELL]</td><td>0.75</td></tr><tr><td><b>Marital status</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.17</td></tr><tr><td>Married</td><td>9(39.1%)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"3\\\">Non significant</td></tr><tr><td>Single</td><td>13(56.5%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Separated</td><td>1(4.3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Y-BOCS total score, mean ± SD</td><td>16.57 ± 2.90</td><td>[EMPTY_CELL]</td><td>0.47</td></tr><tr><td>Y-BOCS obsession subscale, mean ± SD</td><td>9.17 ± 2.85</td><td>[EMPTY_CELL]</td><td>0.92</td></tr><tr><td>Y-BOCS compulsion subscale, mean ± SD</td><td>7.39 ± 2.10</td><td>[EMPTY_CELL]</td><td>0.30</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Saffron group(n=23)</b>\", \"bbox\": [223, 6, 283, 30]}, {\"cell\": \"<b>Fluvoxamine group(n=23)</b>\", \"bbox\": [325, 6, 388, 30]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [429, 12, 466, 24]}, {\"cell\": \"Age, years, mean ± SD\", \"bbox\": [1, 36, 106, 47]}, {\"cell\": \"34.00 ± 7.14\", \"bbox\": [224, 36, 282, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 36, 385, 47]}, {\"cell\": \"0.19\", \"bbox\": [437, 36, 458, 47]}, {\"cell\": \"Sex, female, n (%)\", \"bbox\": [1, 52, 85, 64]}, {\"cell\": \"15 (65.2%)\", \"bbox\": [228, 52, 278, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [331, 52, 381, 64]}, {\"cell\": \"0.54\", \"bbox\": [437, 52, 458, 64]}, {\"cell\": \"duration of the disease (years), mean ± SD\", \"bbox\": [1, 69, 193, 81]}, {\"cell\": \"10.26 ± 5.56\", \"bbox\": [224, 69, 282, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 69, 382, 81]}, {\"cell\": \"0.58\", \"bbox\": [437, 69, 458, 81]}, {\"cell\": \"<b>Education</b>\", \"bbox\": [1, 86, 51, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.33\", \"bbox\": [437, 87, 458, 98]}, {\"cell\": \"Illiterate\", \"bbox\": [1, 103, 37, 115]}, {\"cell\": \"5 (21.7%)\", \"bbox\": [231, 103, 276, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 103, 375, 115]}, {\"cell\": \"Non significant\", \"bbox\": [414, 149, 481, 161]}, {\"cell\": \"primary\", \"bbox\": [1, 120, 36, 132]}, {\"cell\": \"5 (21.7%)\", \"bbox\": [231, 120, 276, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 120, 377, 132]}, {\"cell\": \"Middle\", \"bbox\": [1, 138, 32, 149]}, {\"cell\": \"5 (21.7%)\", \"bbox\": [231, 138, 276, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 138, 377, 149]}, {\"cell\": \"High school\", \"bbox\": [1, 154, 55, 166]}, {\"cell\": \"4(17.4%)\", \"bbox\": [232, 154, 274, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [338, 154, 375, 166]}, {\"cell\": \"Higher\", \"bbox\": [1, 171, 32, 183]}, {\"cell\": \"4(17.4%)\", \"bbox\": [232, 171, 274, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 171, 377, 183]}, {\"cell\": \"Smoking, n, %\", \"bbox\": [1, 189, 67, 200]}, {\"cell\": \"8(34.8%)\", \"bbox\": [232, 189, 274, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 189, 377, 200]}, {\"cell\": \"0.75\", \"bbox\": [437, 189, 458, 200]}, {\"cell\": \"<b>Marital status</b>\", \"bbox\": [1, 205, 67, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.17\", \"bbox\": [437, 205, 458, 217]}, {\"cell\": \"Married\", \"bbox\": [1, 222, 36, 234]}, {\"cell\": \"9(39.1%)\", \"bbox\": [232, 222, 274, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [332, 222, 380, 234]}, {\"cell\": \"Non significant\", \"bbox\": [414, 245, 481, 257]}, {\"cell\": \"Single\", \"bbox\": [1, 240, 30, 251]}, {\"cell\": \"13(56.5%)\", \"bbox\": [229, 240, 277, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [335, 240, 377, 251]}, {\"cell\": \"Separated\", \"bbox\": [1, 256, 49, 268]}, {\"cell\": \"1(4.3%)\", \"bbox\": [235, 256, 272, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 256, 373, 268]}, {\"cell\": \"Y-BOCS total score, mean ± SD\", \"bbox\": [1, 273, 145, 285]}, {\"cell\": \"16.57 ± 2.90\", \"bbox\": [224, 273, 282, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 273, 385, 285]}, {\"cell\": \"0.47\", \"bbox\": [437, 273, 458, 285]}, {\"cell\": \"Y-BOCS obsession subscale, mean ± SD\", \"bbox\": [1, 291, 186, 302]}, {\"cell\": \"9.17 ± 2.85\", \"bbox\": [227, 291, 279, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 291, 382, 302]}, {\"cell\": \"0.92\", \"bbox\": [437, 291, 458, 302]}, {\"cell\": \"Y-BOCS compulsion subscale, mean ± SD\", \"bbox\": [1, 307, 192, 319]}, {\"cell\": \"7.39 ± 2.10\", \"bbox\": [227, 307, 279, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [330, 307, 382, 319]}, {\"cell\": \"0.30\", \"bbox\": [437, 307, 458, 319]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5640576_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}801{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Marker (positive)</b></td><td><b>Sox, Oct, Nanog, Bmi-1</b></td><td><b>EMT markers<sup>a</sup></b></td><td><b>Spheres</b></td><td><b>Mice</b></td><td><b>Cell line</b></td><td><b>RCC type</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>CD44, CD49f, ALDH1, CD24↓</td><td>+</td><td>E↓, M↑+/−</td><td>–, ROS</td><td>+</td><td>Caki-1</td><td>[EMPTY_CELL]</td><td>Mahalingaiah et al., 2015 [17]</td></tr><tr><td>CD24, CD44</td><td>+</td><td>M↑</td><td>+</td><td>–</td><td>ACHN, Caki-1</td><td>[EMPTY_CELL]</td><td>Lichner et al., 2014 [22]</td></tr><tr><td>–</td><td>+</td><td>E↓, M↑</td><td>+, TNFα</td><td>–</td><td>ACHN, 786-0</td><td>[EMPTY_CELL]</td><td>Zhang et al., 2014 [27]</td></tr><tr><td>DCLK1↑ ALDH1</td><td>+</td><td>M↑</td><td>–</td><td>–</td><td>Caki-2</td><td>[EMPTY_CELL]</td><td>Weygant et al., 2015 [29]</td></tr><tr><td>CD44, CD133, CXCR4</td><td>NS, B-cathenin</td><td>M↑</td><td>+, PIK3R1↓</td><td>–</td><td>786-0, A-704</td><td>[EMPTY_CELL]</td><td>Lin et al., 2015 [30]</td></tr><tr><td>ALDH1</td><td>+</td><td>–</td><td>–</td><td>+</td><td>Caki-2, ACHN</td><td>[EMPTY_CELL]</td><td>Wang et al., 2015 [63]</td></tr><tr><td>CXCR4, CD105↓, CD133(−)<sup>b</sup></td><td>+</td><td>–</td><td>+</td><td>+</td><td>RCC-26, RCC-53</td><td>[EMPTY_CELL]</td><td>Gassenmaier et al., 2013 [14]</td></tr><tr><td>CD24, CD44, CD133(−), CD105(−)</td><td>+</td><td>B-c↑</td><td>+</td><td>+</td><td>SK-RC-42</td><td>[EMPTY_CELL]</td><td>Zhong et al., 2010 [72]</td></tr><tr><td>CD24, CD44</td><td>Side population</td><td>–</td><td>+</td><td>+</td><td>786-0</td><td>[EMPTY_CELL]</td><td>Lu et al., 2013 [21]</td></tr><tr><td>ALDH1</td><td>–</td><td>NS</td><td>+</td><td>+</td><td>ACHN</td><td>[EMPTY_CELL]</td><td>Ueda et al., 2013 [45]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Marker (positive)</b>\", \"bbox\": [1, 4, 55, 13]}, {\"cell\": \"<b>Sox, Oct, Nanog, Bmi-1</b>\", \"bbox\": [110, 4, 164, 22]}, {\"cell\": \"<b>EMT markers<sup>a</sup></b>\", \"bbox\": [171, 2, 215, 13]}, {\"cell\": \"<b>Spheres</b>\", \"bbox\": [222, 4, 249, 13]}, {\"cell\": \"<b>Mice</b>\", \"bbox\": [264, 4, 282, 13]}, {\"cell\": \"<b>Cell line</b>\", \"bbox\": [289, 4, 316, 13]}, {\"cell\": \"<b>RCC type</b>\", \"bbox\": [345, 4, 376, 13]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [395, 4, 428, 13]}, {\"cell\": \"CD44, CD49f, ALDH1, CD24↓\", \"bbox\": [1, 26, 94, 36]}, {\"cell\": \"+\", \"bbox\": [110, 26, 116, 36]}, {\"cell\": \"E↓, M↑+/−\", \"bbox\": [171, 26, 207, 36]}, {\"cell\": \"–, ROS\", \"bbox\": [222, 26, 244, 36]}, {\"cell\": \"+\", \"bbox\": [264, 26, 271, 36]}, {\"cell\": \"Caki-1\", \"bbox\": [289, 26, 310, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 26, 367, 36]}, {\"cell\": \"Mahalingaiah et al., 2015 [17]\", \"bbox\": [395, 26, 484, 36]}, {\"cell\": \"CD24, CD44\", \"bbox\": [1, 40, 41, 50]}, {\"cell\": \"+\", \"bbox\": [110, 40, 116, 50]}, {\"cell\": \"M↑\", \"bbox\": [171, 40, 184, 50]}, {\"cell\": \"+\", \"bbox\": [222, 40, 228, 50]}, {\"cell\": \"–\", \"bbox\": [264, 44, 270, 48]}, {\"cell\": \"ACHN, Caki-1\", \"bbox\": [289, 40, 333, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 40, 388, 50]}, {\"cell\": \"Lichner et al., 2014 [22]\", \"bbox\": [395, 40, 471, 50]}, {\"cell\": \"–\", \"bbox\": [1, 58, 7, 62]}, {\"cell\": \"+\", \"bbox\": [110, 54, 116, 64]}, {\"cell\": \"E↓, M↑\", \"bbox\": [171, 54, 195, 64]}, {\"cell\": \"+, TNFα\", \"bbox\": [222, 54, 249, 64]}, {\"cell\": \"–\", \"bbox\": [264, 58, 270, 62]}, {\"cell\": \"ACHN, 786-0\", \"bbox\": [289, 54, 331, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 54, 388, 64]}, {\"cell\": \"Zhang et al., 2014 [27]\", \"bbox\": [395, 54, 468, 64]}, {\"cell\": \"DCLK1↑ ALDH1\", \"bbox\": [1, 68, 52, 78]}, {\"cell\": \"+\", \"bbox\": [110, 68, 116, 78]}, {\"cell\": \"M↑\", \"bbox\": [171, 68, 184, 78]}, {\"cell\": \"–\", \"bbox\": [222, 72, 228, 76]}, {\"cell\": \"–\", \"bbox\": [264, 72, 270, 76]}, {\"cell\": \"Caki-2\", \"bbox\": [289, 68, 310, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 68, 364, 78]}, {\"cell\": \"Weygant et al., 2015 [29]\", \"bbox\": [395, 68, 471, 78]}, {\"cell\": \"CD44, CD133, CXCR4\", \"bbox\": [1, 82, 69, 92]}, {\"cell\": \"NS, B-cathenin\", \"bbox\": [110, 82, 158, 92]}, {\"cell\": \"M↑\", \"bbox\": [171, 82, 184, 92]}, {\"cell\": \"+, PIK3R1↓\", \"bbox\": [222, 82, 257, 92]}, {\"cell\": \"–\", \"bbox\": [264, 86, 270, 90]}, {\"cell\": \"786-0, A-704\", \"bbox\": [289, 82, 330, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 82, 383, 92]}, {\"cell\": \"Lin et al., 2015 [30]\", \"bbox\": [395, 82, 457, 92]}, {\"cell\": \"ALDH1\", \"bbox\": [1, 96, 25, 106]}, {\"cell\": \"+\", \"bbox\": [110, 96, 116, 106]}, {\"cell\": \"–\", \"bbox\": [171, 100, 177, 104]}, {\"cell\": \"–\", \"bbox\": [222, 100, 228, 104]}, {\"cell\": \"+\", \"bbox\": [264, 96, 271, 106]}, {\"cell\": \"Caki-2, ACHN\", \"bbox\": [289, 96, 333, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 96, 385, 106]}, {\"cell\": \"Wang et al., 2015 [63]\", \"bbox\": [395, 96, 466, 106]}, {\"cell\": \"CXCR4, CD105↓, CD133(−)<sup>b</sup>\", \"bbox\": [1, 108, 89, 120]}, {\"cell\": \"+\", \"bbox\": [110, 110, 116, 120]}, {\"cell\": \"–\", \"bbox\": [171, 114, 177, 118]}, {\"cell\": \"+\", \"bbox\": [222, 110, 228, 120]}, {\"cell\": \"+\", \"bbox\": [264, 110, 271, 120]}, {\"cell\": \"RCC-26, RCC-53\", \"bbox\": [289, 110, 338, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 110, 360, 120]}, {\"cell\": \"Gassenmaier et al., 2013 [14]\", \"bbox\": [395, 110, 482, 120]}, {\"cell\": \"CD24, CD44, CD133(−), CD105(−)\", \"bbox\": [1, 124, 103, 134]}, {\"cell\": \"+\", \"bbox\": [110, 124, 116, 134]}, {\"cell\": \"B-c↑\", \"bbox\": [171, 124, 187, 134]}, {\"cell\": \"+\", \"bbox\": [222, 124, 228, 134]}, {\"cell\": \"+\", \"bbox\": [264, 124, 271, 134]}, {\"cell\": \"SK-RC-42\", \"bbox\": [289, 124, 319, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 124, 360, 134]}, {\"cell\": \"Zhong et al., 2010 [72]\", \"bbox\": [395, 124, 469, 134]}, {\"cell\": \"CD24, CD44\", \"bbox\": [0, 138, 41, 148]}, {\"cell\": \"Side population\", \"bbox\": [110, 138, 162, 148]}, {\"cell\": \"–\", \"bbox\": [171, 142, 177, 146]}, {\"cell\": \"+\", \"bbox\": [222, 138, 228, 148]}, {\"cell\": \"+\", \"bbox\": [264, 138, 271, 148]}, {\"cell\": \"786-0\", \"bbox\": [289, 138, 308, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 138, 367, 148]}, {\"cell\": \"Lu et al., 2013 [21]\", \"bbox\": [395, 138, 455, 148]}, {\"cell\": \"ALDH1\", \"bbox\": [1, 152, 25, 162]}, {\"cell\": \"–\", \"bbox\": [110, 156, 116, 160]}, {\"cell\": \"NS\", \"bbox\": [171, 152, 182, 162]}, {\"cell\": \"+\", \"bbox\": [222, 152, 228, 162]}, {\"cell\": \"+\", \"bbox\": [264, 152, 271, 162]}, {\"cell\": \"ACHN\", \"bbox\": [289, 152, 310, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 152, 364, 162]}, {\"cell\": \"Ueda et al., 2013 [45]\", \"bbox\": [395, 152, 464, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4574074_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}802{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Linkage group (LG)</b></td><td><b>No. of single-marker loci</b></td><td><b>No. of bin loci</b></td><td><b>Total number of loci</b></td><td><b>Total number of mapped markers</b></td><td><b>Coverage (cM)</b></td></tr></thead><tbody><tr><td>A01</td><td>62</td><td>32</td><td>94</td><td>274</td><td>[EMPTY_CELL]</td></tr><tr><td>A02</td><td>75</td><td>21</td><td>96</td><td>189</td><td>[EMPTY_CELL]</td></tr><tr><td>A03</td><td>72</td><td>26</td><td>98</td><td>163</td><td>[EMPTY_CELL]</td></tr><tr><td>A04</td><td>48</td><td>13</td><td>61</td><td>133</td><td>[EMPTY_CELL]</td></tr><tr><td>A05</td><td>71</td><td>24</td><td>95</td><td>150</td><td>[EMPTY_CELL]</td></tr><tr><td>A06</td><td>80</td><td>25</td><td>105</td><td>160</td><td>[EMPTY_CELL]</td></tr><tr><td>A07</td><td>40</td><td>31</td><td>71</td><td>163</td><td>[EMPTY_CELL]</td></tr><tr><td>A08</td><td>59</td><td>26</td><td>85</td><td>177</td><td>[EMPTY_CELL]</td></tr><tr><td>A09</td><td>62</td><td>38</td><td>100</td><td>311</td><td>[EMPTY_CELL]</td></tr><tr><td>A10</td><td>71</td><td>12</td><td>83</td><td>144</td><td>[EMPTY_CELL]</td></tr><tr><td>Subtotal for the A subgenome</td><td>640</td><td>248</td><td>888</td><td>1864</td><td>[EMPTY_CELL]</td></tr><tr><td>B01</td><td>41</td><td>26</td><td>67</td><td>171</td><td>[EMPTY_CELL]</td></tr><tr><td>B02</td><td>67</td><td>39</td><td>106</td><td>236</td><td>[EMPTY_CELL]</td></tr><tr><td>B03</td><td>69</td><td>17</td><td>86</td><td>230</td><td>[EMPTY_CELL]</td></tr><tr><td>B04</td><td>66</td><td>17</td><td>83</td><td>139</td><td>[EMPTY_CELL]</td></tr><tr><td>B05</td><td>51</td><td>19</td><td>70</td><td>125</td><td>[EMPTY_CELL]</td></tr><tr><td>B06</td><td>50</td><td>11</td><td>61</td><td>79</td><td>[EMPTY_CELL]</td></tr><tr><td>B07</td><td>60</td><td>39</td><td>99</td><td>246</td><td>[EMPTY_CELL]</td></tr><tr><td>B08</td><td>88</td><td>22</td><td>110</td><td>239</td><td>[EMPTY_CELL]</td></tr><tr><td>Subtotal for the B subgenome</td><td>492</td><td>190</td><td>682</td><td>1465</td><td>[EMPTY_CELL]</td></tr><tr><td>Total for the AB genome</td><td>1132</td><td>438</td><td>1570</td><td>3329</td><td>[EMPTY_CELL]</td></tr><tr><td>Mean (per LG)</td><td>62.9</td><td>24.3</td><td>87.2</td><td>184.9</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Linkage group (LG)</b>\", \"bbox\": [1, 4, 64, 13]}, {\"cell\": \"<b>No. of single-marker loci</b>\", \"bbox\": [107, 4, 187, 13]}, {\"cell\": \"<b>No. of bin loci</b>\", \"bbox\": [193, 4, 240, 13]}, {\"cell\": \"<b>Total number of loci</b>\", \"bbox\": [246, 4, 314, 13]}, {\"cell\": \"<b>Total number of mapped markers</b>\", \"bbox\": [320, 4, 430, 13]}, {\"cell\": \"<b>Coverage (cM)</b>\", \"bbox\": [436, 4, 484, 13]}, {\"cell\": \"A01\", \"bbox\": [1, 17, 15, 26]}, {\"cell\": \"62\", \"bbox\": [107, 17, 116, 26]}, {\"cell\": \"32\", \"bbox\": [193, 17, 202, 26]}, {\"cell\": \"94\", \"bbox\": [246, 17, 256, 26]}, {\"cell\": \"274\", \"bbox\": [320, 17, 333, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 17, 446, 26]}, {\"cell\": \"A02\", \"bbox\": [1, 31, 15, 40]}, {\"cell\": \"75\", \"bbox\": [107, 31, 116, 40]}, {\"cell\": \"21\", \"bbox\": [193, 31, 202, 40]}, {\"cell\": \"96\", \"bbox\": [246, 31, 256, 40]}, {\"cell\": \"189\", \"bbox\": [320, 31, 333, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 31, 451, 40]}, {\"cell\": \"A03\", \"bbox\": [1, 45, 15, 54]}, {\"cell\": \"72\", \"bbox\": [107, 45, 116, 54]}, {\"cell\": \"26\", \"bbox\": [193, 45, 202, 54]}, {\"cell\": \"98\", \"bbox\": [246, 45, 256, 54]}, {\"cell\": \"163\", \"bbox\": [320, 45, 333, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 45, 451, 54]}, {\"cell\": \"A04\", \"bbox\": [1, 59, 15, 68]}, {\"cell\": \"48\", \"bbox\": [107, 59, 116, 68]}, {\"cell\": \"13\", \"bbox\": [193, 59, 202, 68]}, {\"cell\": \"61\", \"bbox\": [246, 59, 256, 68]}, {\"cell\": \"133\", \"bbox\": [320, 59, 333, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 59, 451, 68]}, {\"cell\": \"A05\", \"bbox\": [1, 73, 15, 82]}, {\"cell\": \"71\", \"bbox\": [107, 73, 116, 82]}, {\"cell\": \"24\", \"bbox\": [193, 73, 202, 82]}, {\"cell\": \"95\", \"bbox\": [246, 73, 256, 82]}, {\"cell\": \"150\", \"bbox\": [320, 73, 333, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 73, 451, 82]}, {\"cell\": \"A06\", \"bbox\": [1, 87, 15, 96]}, {\"cell\": \"80\", \"bbox\": [107, 87, 116, 96]}, {\"cell\": \"25\", \"bbox\": [193, 87, 202, 96]}, {\"cell\": \"105\", \"bbox\": [246, 87, 260, 96]}, {\"cell\": \"160\", \"bbox\": [320, 87, 333, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 87, 451, 96]}, {\"cell\": \"A07\", \"bbox\": [1, 101, 15, 110]}, {\"cell\": \"40\", \"bbox\": [107, 101, 116, 110]}, {\"cell\": \"31\", \"bbox\": [193, 101, 202, 110]}, {\"cell\": \"71\", \"bbox\": [246, 101, 256, 110]}, {\"cell\": \"163\", \"bbox\": [320, 101, 333, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 101, 451, 110]}, {\"cell\": \"A08\", \"bbox\": [1, 115, 15, 124]}, {\"cell\": \"59\", \"bbox\": [107, 115, 116, 124]}, {\"cell\": \"26\", \"bbox\": [193, 115, 202, 124]}, {\"cell\": \"85\", \"bbox\": [246, 115, 256, 124]}, {\"cell\": \"177\", \"bbox\": [320, 115, 333, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 115, 451, 124]}, {\"cell\": \"A09\", \"bbox\": [1, 129, 15, 138]}, {\"cell\": \"62\", \"bbox\": [107, 129, 116, 138]}, {\"cell\": \"38\", \"bbox\": [193, 129, 202, 138]}, {\"cell\": \"100\", \"bbox\": [246, 129, 260, 138]}, {\"cell\": \"311\", \"bbox\": [320, 129, 333, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 129, 450, 138]}, {\"cell\": \"A10\", \"bbox\": [1, 143, 15, 152]}, {\"cell\": \"71\", \"bbox\": [107, 143, 116, 152]}, {\"cell\": \"12\", \"bbox\": [193, 143, 202, 152]}, {\"cell\": \"83\", \"bbox\": [246, 143, 256, 152]}, {\"cell\": \"144\", \"bbox\": [320, 143, 333, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 143, 451, 152]}, {\"cell\": \"Subtotal for the A subgenome\", \"bbox\": [1, 157, 101, 166]}, {\"cell\": \"640\", \"bbox\": [107, 157, 120, 166]}, {\"cell\": \"248\", \"bbox\": [193, 157, 206, 166]}, {\"cell\": \"888\", \"bbox\": [246, 157, 260, 166]}, {\"cell\": \"1864\", \"bbox\": [320, 157, 337, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 157, 455, 166]}, {\"cell\": \"B01\", \"bbox\": [1, 171, 14, 180]}, {\"cell\": \"41\", \"bbox\": [107, 171, 116, 180]}, {\"cell\": \"26\", \"bbox\": [193, 171, 202, 180]}, {\"cell\": \"67\", \"bbox\": [246, 171, 256, 180]}, {\"cell\": \"171\", \"bbox\": [320, 171, 333, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 171, 451, 180]}, {\"cell\": \"B02\", \"bbox\": [1, 185, 14, 194]}, {\"cell\": \"67\", \"bbox\": [107, 185, 116, 194]}, {\"cell\": \"39\", \"bbox\": [193, 185, 202, 194]}, {\"cell\": \"106\", \"bbox\": [246, 185, 260, 194]}, {\"cell\": \"236\", \"bbox\": [320, 185, 333, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 185, 455, 194]}, {\"cell\": \"B03\", \"bbox\": [1, 199, 14, 208]}, {\"cell\": \"69\", \"bbox\": [107, 199, 116, 208]}, {\"cell\": \"17\", \"bbox\": [193, 199, 202, 208]}, {\"cell\": \"86\", \"bbox\": [246, 199, 256, 208]}, {\"cell\": \"230\", \"bbox\": [320, 199, 333, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 199, 451, 208]}, {\"cell\": \"B04\", \"bbox\": [1, 213, 14, 222]}, {\"cell\": \"66\", \"bbox\": [107, 213, 116, 222]}, {\"cell\": \"17\", \"bbox\": [193, 213, 202, 222]}, {\"cell\": \"83\", \"bbox\": [246, 213, 256, 222]}, {\"cell\": \"139\", \"bbox\": [320, 213, 333, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 213, 455, 222]}, {\"cell\": \"B05\", \"bbox\": [1, 227, 14, 236]}, {\"cell\": \"51\", \"bbox\": [107, 227, 116, 236]}, {\"cell\": \"19\", \"bbox\": [193, 227, 202, 236]}, {\"cell\": \"70\", \"bbox\": [246, 227, 256, 236]}, {\"cell\": \"125\", \"bbox\": [320, 227, 333, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 227, 455, 236]}, {\"cell\": \"B06\", \"bbox\": [1, 241, 14, 250]}, {\"cell\": \"50\", \"bbox\": [107, 241, 116, 250]}, {\"cell\": \"11\", \"bbox\": [193, 241, 202, 250]}, {\"cell\": \"61\", \"bbox\": [246, 241, 256, 250]}, {\"cell\": \"79\", \"bbox\": [320, 241, 329, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 241, 451, 250]}, {\"cell\": \"B07\", \"bbox\": [1, 255, 14, 264]}, {\"cell\": \"60\", \"bbox\": [107, 255, 116, 264]}, {\"cell\": \"39\", \"bbox\": [193, 255, 202, 264]}, {\"cell\": \"99\", \"bbox\": [246, 255, 256, 264]}, {\"cell\": \"246\", \"bbox\": [320, 255, 333, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 255, 455, 264]}, {\"cell\": \"B08\", \"bbox\": [1, 269, 14, 278]}, {\"cell\": \"88\", \"bbox\": [107, 269, 116, 278]}, {\"cell\": \"22\", \"bbox\": [193, 269, 202, 278]}, {\"cell\": \"110\", \"bbox\": [246, 269, 260, 278]}, {\"cell\": \"239\", \"bbox\": [320, 269, 333, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 269, 455, 278]}, {\"cell\": \"Subtotal for the B subgenome\", \"bbox\": [1, 283, 100, 292]}, {\"cell\": \"492\", \"bbox\": [107, 283, 120, 292]}, {\"cell\": \"190\", \"bbox\": [193, 283, 206, 292]}, {\"cell\": \"682\", \"bbox\": [246, 283, 260, 292]}, {\"cell\": \"1465\", \"bbox\": [320, 283, 337, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 283, 450, 292]}, {\"cell\": \"Total for the AB genome\", \"bbox\": [1, 297, 82, 306]}, {\"cell\": \"1132\", \"bbox\": [107, 297, 124, 306]}, {\"cell\": \"438\", \"bbox\": [193, 297, 206, 306]}, {\"cell\": \"1570\", \"bbox\": [246, 297, 263, 306]}, {\"cell\": \"3329\", \"bbox\": [320, 297, 337, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 297, 459, 306]}, {\"cell\": \"Mean (per LG)\", \"bbox\": [1, 311, 48, 320]}, {\"cell\": \"62.9\", \"bbox\": [107, 311, 121, 320]}, {\"cell\": \"24.3\", \"bbox\": [193, 311, 207, 320]}, {\"cell\": \"87.2\", \"bbox\": [246, 311, 261, 320]}, {\"cell\": \"184.9\", \"bbox\": [320, 311, 338, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [436, 311, 451, 320]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4700566_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}803{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Antibody</b></td><td rowspan=\\\"2\\\"><b>Control (I)</b></td><td colspan=\\\"2\\\"><b>PDAC w CTX</b></td><td rowspan=\\\"2\\\"><b>PDAC w/o CTX</b></td><td rowspan=\\\"2\\\"><b><i>p</i></b></td></tr><tr><td><b>Good response (II)</b></td><td><b>Bad response (III)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>1</td><td>0</td><td>0</td><td>I vs. II: 0.0901</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>7</td><td>6</td><td>0</td><td>I vs. III: 0.0003</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>14</td><td>16</td><td>12</td><td>II vs. III: 0.0394</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>3</td><td>17</td><td>15</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>10</td><td>6</td><td>1</td><td>I vs. II: 0.7549</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>8</td><td>13</td><td>16</td><td>I vs. III: 0.0287</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>6</td><td>15</td><td>9</td><td>II vs. III: 0.1147</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>1</td><td>5</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td><td>0</td><td>I vs. II: 0.0687</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>2</td><td>3</td><td>1</td><td>I vs. III: 0.0137</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>13</td><td>13</td><td>8</td><td>II vs. III: 0.3054</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>10</td><td>23</td><td>18</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td><td>0</td><td>I vs. II: 0.7427</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>1</td><td>7</td><td>1</td><td>I vs. III: 0.1068</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>3</td><td>11</td><td>5</td><td>II vs. III: 0.0426</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td><td>21</td><td>21</td><td>21</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>1</td><td>4</td><td>1</td><td>I vs. II: 0.00001</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>3</td><td>12</td><td>3</td><td>I vs. III: 0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>6</td><td>11</td><td>10</td><td>II vs. III: 0.1005</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>15</td><td>12</td><td>13</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>0</td><td>0</td><td>0</td><td>I vs. II: 0.00003</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>1</td><td>7</td><td>2</td><td>I vs. III: 0.0005</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>12</td><td>24</td><td>19</td><td>II vs. III: 0.0378</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>12</td><td>8</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>0</td><td>1</td><td>0</td><td>I vs. II: <0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>4</td><td>6</td><td>2</td><td>I vs. III: <0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>14</td><td>23</td><td>12</td><td>II vs. III: 0.8456</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>7</td><td>9</td><td>13</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Antibody</b>\", \"bbox\": [1, 4, 32, 13]}, {\"cell\": \"<b>Control (I)</b>\", \"bbox\": [72, 4, 106, 13]}, {\"cell\": \"<b>PDAC w CTX</b>\", \"bbox\": [146, 4, 189, 13]}, {\"cell\": \"<b>PDAC w/o CTX</b>\", \"bbox\": [344, 4, 394, 13]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [434, 6, 440, 13]}, {\"cell\": \"<b>Good response (II)</b>\", \"bbox\": [146, 17, 207, 27]}, {\"cell\": \"<b>Bad response (III)</b>\", \"bbox\": [247, 17, 303, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 19, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 11, 54]}, {\"cell\": \"3\", \"bbox\": [72, 44, 78, 54]}, {\"cell\": \"1\", \"bbox\": [146, 44, 152, 54]}, {\"cell\": \"0\", \"bbox\": [247, 44, 253, 54]}, {\"cell\": \"0\", \"bbox\": [344, 44, 350, 54]}, {\"cell\": \"I vs. II: 0.0901\", \"bbox\": [434, 44, 478, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 58, 11, 68]}, {\"cell\": \"6\", \"bbox\": [72, 58, 78, 68]}, {\"cell\": \"7\", \"bbox\": [146, 58, 152, 68]}, {\"cell\": \"6\", \"bbox\": [247, 58, 253, 68]}, {\"cell\": \"0\", \"bbox\": [344, 58, 350, 68]}, {\"cell\": \"I vs. III: 0.0003\", \"bbox\": [434, 58, 480, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 72, 11, 82]}, {\"cell\": \"4\", \"bbox\": [72, 72, 78, 82]}, {\"cell\": \"14\", \"bbox\": [146, 72, 156, 82]}, {\"cell\": \"16\", \"bbox\": [247, 72, 257, 82]}, {\"cell\": \"12\", \"bbox\": [344, 72, 353, 82]}, {\"cell\": \"II vs. III: 0.0394\", \"bbox\": [434, 72, 481, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 11, 96]}, {\"cell\": \"0\", \"bbox\": [72, 86, 78, 96]}, {\"cell\": \"3\", \"bbox\": [146, 86, 152, 96]}, {\"cell\": \"17\", \"bbox\": [247, 86, 257, 96]}, {\"cell\": \"15\", \"bbox\": [344, 86, 353, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 16, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 11, 124]}, {\"cell\": \"7\", \"bbox\": [72, 114, 78, 124]}, {\"cell\": \"10\", \"bbox\": [146, 114, 156, 124]}, {\"cell\": \"6\", \"bbox\": [247, 114, 253, 124]}, {\"cell\": \"1\", \"bbox\": [344, 114, 350, 124]}, {\"cell\": \"I vs. II: 0.7549\", \"bbox\": [434, 114, 478, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 11, 138]}, {\"cell\": \"4\", \"bbox\": [72, 128, 78, 138]}, {\"cell\": \"8\", \"bbox\": [146, 128, 152, 138]}, {\"cell\": \"13\", \"bbox\": [247, 128, 257, 138]}, {\"cell\": \"16\", \"bbox\": [344, 128, 353, 138]}, {\"cell\": \"I vs. III: 0.0287\", \"bbox\": [434, 128, 480, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 11, 152]}, {\"cell\": \"2\", \"bbox\": [72, 142, 78, 152]}, {\"cell\": \"6\", \"bbox\": [146, 142, 152, 152]}, {\"cell\": \"15\", \"bbox\": [247, 142, 257, 152]}, {\"cell\": \"9\", \"bbox\": [344, 142, 350, 152]}, {\"cell\": \"II vs. III: 0.1147\", \"bbox\": [434, 142, 481, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 11, 166]}, {\"cell\": \"0\", \"bbox\": [72, 156, 78, 166]}, {\"cell\": \"1\", \"bbox\": [146, 156, 152, 166]}, {\"cell\": \"5\", \"bbox\": [247, 156, 253, 166]}, {\"cell\": \"1\", \"bbox\": [344, 156, 350, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 16, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 184, 11, 194]}, {\"cell\": \"0\", \"bbox\": [72, 184, 78, 194]}, {\"cell\": \"0\", \"bbox\": [146, 184, 152, 194]}, {\"cell\": \"0\", \"bbox\": [247, 184, 253, 194]}, {\"cell\": \"0\", \"bbox\": [344, 184, 350, 194]}, {\"cell\": \"I vs. II: 0.0687\", \"bbox\": [434, 184, 478, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 198, 11, 208]}, {\"cell\": \"5\", \"bbox\": [72, 198, 78, 208]}, {\"cell\": \"2\", \"bbox\": [146, 198, 152, 208]}, {\"cell\": \"3\", \"bbox\": [247, 198, 253, 208]}, {\"cell\": \"1\", \"bbox\": [344, 198, 350, 208]}, {\"cell\": \"I vs. III: 0.0137\", \"bbox\": [434, 198, 480, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 212, 11, 222]}, {\"cell\": \"5\", \"bbox\": [72, 212, 78, 222]}, {\"cell\": \"13\", \"bbox\": [146, 212, 156, 222]}, {\"cell\": \"13\", \"bbox\": [247, 212, 257, 222]}, {\"cell\": \"8\", \"bbox\": [344, 212, 350, 222]}, {\"cell\": \"II vs. III: 0.3054\", \"bbox\": [434, 212, 481, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 11, 236]}, {\"cell\": \"3\", \"bbox\": [72, 226, 78, 236]}, {\"cell\": \"10\", \"bbox\": [146, 226, 156, 236]}, {\"cell\": \"23\", \"bbox\": [247, 226, 257, 236]}, {\"cell\": \"18\", \"bbox\": [344, 226, 353, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 240, 24, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 254, 11, 264]}, {\"cell\": \"0\", \"bbox\": [72, 254, 78, 264]}, {\"cell\": \"0\", \"bbox\": [146, 254, 152, 264]}, {\"cell\": \"0\", \"bbox\": [247, 254, 253, 264]}, {\"cell\": \"0\", \"bbox\": [344, 254, 350, 264]}, {\"cell\": \"I vs. II: 0.7427\", \"bbox\": [434, 254, 478, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 268, 11, 278]}, {\"cell\": \"0\", \"bbox\": [72, 268, 78, 278]}, {\"cell\": \"1\", \"bbox\": [146, 268, 152, 278]}, {\"cell\": \"7\", \"bbox\": [247, 268, 253, 278]}, {\"cell\": \"1\", \"bbox\": [344, 268, 350, 278]}, {\"cell\": \"I vs. III: 0.1068\", \"bbox\": [434, 268, 480, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 282, 11, 292]}, {\"cell\": \"2\", \"bbox\": [72, 282, 78, 292]}, {\"cell\": \"3\", \"bbox\": [146, 282, 152, 292]}, {\"cell\": \"11\", \"bbox\": [247, 282, 257, 292]}, {\"cell\": \"5\", \"bbox\": [344, 282, 350, 292]}, {\"cell\": \"II vs. III: 0.0426\", \"bbox\": [434, 282, 481, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 296, 11, 306]}, {\"cell\": \"11\", \"bbox\": [72, 296, 82, 306]}, {\"cell\": \"21\", \"bbox\": [146, 296, 156, 306]}, {\"cell\": \"21\", \"bbox\": [247, 296, 257, 306]}, {\"cell\": \"21\", \"bbox\": [344, 296, 353, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 310, 23, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 324, 11, 334]}, {\"cell\": \"9\", \"bbox\": [72, 324, 78, 334]}, {\"cell\": \"1\", \"bbox\": [146, 324, 152, 334]}, {\"cell\": \"4\", \"bbox\": [247, 324, 253, 334]}, {\"cell\": \"1\", \"bbox\": [344, 324, 350, 334]}, {\"cell\": \"I vs. II: 0.00001\", \"bbox\": [434, 324, 482, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 338, 11, 348]}, {\"cell\": \"4\", \"bbox\": [72, 338, 78, 348]}, {\"cell\": \"3\", \"bbox\": [146, 338, 152, 348]}, {\"cell\": \"12\", \"bbox\": [247, 338, 257, 348]}, {\"cell\": \"3\", \"bbox\": [344, 338, 350, 348]}, {\"cell\": \"I vs. III: 0.0001\", \"bbox\": [434, 338, 480, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 352, 11, 362]}, {\"cell\": \"0\", \"bbox\": [72, 352, 78, 362]}, {\"cell\": \"6\", \"bbox\": [146, 352, 152, 362]}, {\"cell\": \"11\", \"bbox\": [247, 352, 257, 362]}, {\"cell\": \"10\", \"bbox\": [344, 352, 353, 362]}, {\"cell\": \"II vs. III: 0.1005\", \"bbox\": [434, 352, 481, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 366, 11, 376]}, {\"cell\": \"0\", \"bbox\": [72, 366, 78, 376]}, {\"cell\": \"15\", \"bbox\": [146, 366, 156, 376]}, {\"cell\": \"12\", \"bbox\": [247, 366, 257, 376]}, {\"cell\": \"13\", \"bbox\": [344, 366, 353, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 380, 25, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 394, 11, 404]}, {\"cell\": \"2\", \"bbox\": [72, 394, 78, 404]}, {\"cell\": \"0\", \"bbox\": [146, 394, 152, 404]}, {\"cell\": \"0\", \"bbox\": [247, 394, 253, 404]}, {\"cell\": \"0\", \"bbox\": [344, 394, 350, 404]}, {\"cell\": \"I vs. II: 0.00003\", \"bbox\": [434, 394, 482, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 408, 11, 418]}, {\"cell\": \"8\", \"bbox\": [72, 408, 78, 418]}, {\"cell\": \"1\", \"bbox\": [146, 408, 152, 418]}, {\"cell\": \"7\", \"bbox\": [247, 408, 253, 418]}, {\"cell\": \"2\", \"bbox\": [344, 408, 350, 418]}, {\"cell\": \"I vs. III: 0.0005\", \"bbox\": [434, 408, 480, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 422, 11, 432]}, {\"cell\": \"3\", \"bbox\": [72, 422, 78, 432]}, {\"cell\": \"12\", \"bbox\": [146, 422, 156, 432]}, {\"cell\": \"24\", \"bbox\": [247, 422, 257, 432]}, {\"cell\": \"19\", \"bbox\": [344, 422, 353, 432]}, {\"cell\": \"II vs. III: 0.0378\", \"bbox\": [434, 422, 481, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 436, 11, 446]}, {\"cell\": \"0\", \"bbox\": [72, 436, 78, 446]}, {\"cell\": \"12\", \"bbox\": [146, 436, 156, 446]}, {\"cell\": \"8\", \"bbox\": [247, 436, 253, 446]}, {\"cell\": \"6\", \"bbox\": [344, 436, 350, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 450, 25, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 464, 11, 474]}, {\"cell\": \"10\", \"bbox\": [72, 464, 82, 474]}, {\"cell\": \"0\", \"bbox\": [146, 464, 152, 474]}, {\"cell\": \"1\", \"bbox\": [247, 464, 253, 474]}, {\"cell\": \"0\", \"bbox\": [344, 464, 350, 474]}, {\"cell\": \"I vs. II: <0.0001\", \"bbox\": [434, 464, 483, 474]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 478, 11, 488]}, {\"cell\": \"3\", \"bbox\": [72, 478, 78, 488]}, {\"cell\": \"4\", \"bbox\": [146, 478, 152, 488]}, {\"cell\": \"6\", \"bbox\": [247, 478, 253, 488]}, {\"cell\": \"2\", \"bbox\": [344, 478, 350, 488]}, {\"cell\": \"I vs. III: <0.0001\", \"bbox\": [434, 478, 484, 488]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 492, 11, 502]}, {\"cell\": \"0\", \"bbox\": [72, 492, 78, 502]}, {\"cell\": \"14\", \"bbox\": [146, 492, 156, 502]}, {\"cell\": \"23\", \"bbox\": [247, 492, 257, 502]}, {\"cell\": \"12\", \"bbox\": [344, 492, 353, 502]}, {\"cell\": \"II vs. III: 0.8456\", \"bbox\": [434, 492, 481, 502]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 506, 11, 516]}, {\"cell\": \"0\", \"bbox\": [72, 506, 78, 516]}, {\"cell\": \"7\", \"bbox\": [146, 506, 152, 516]}, {\"cell\": \"9\", \"bbox\": [247, 506, 253, 516]}, {\"cell\": \"13\", \"bbox\": [344, 506, 353, 516]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4690288_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}804{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Primer</b></td><td><b>Sequence</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>5′‐GGAATGAAGGGACACAGAGG‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐TAGCACCATCATTTCCACGA‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐GGTGCTCCTTCAGATTGACC‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐GACCCCTTTTCAGGAACACA‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐GGATTCAGTGTCTCGGCTTC‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐TGCTGTGCTTCTTCTTTCCA‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐CGAGATGCGTGACCAGTATG‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐TGTTCTCCAGGGATGCTTTC‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐GCTCACTTCGGCTAAAATGC‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐CAGCACCAATTCCTTCACAA‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐GTCCTGTACGTGAAGCTCGG‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐GTACTGGCACTCGTTGATGC‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐GCAAGTCCAGACTGGGGATA‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐TCAGCACTGATCGGTTATCG‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐GAAGGTGAAGGTCGGAGTC‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐GAAGATGGTGATGGGATTTC‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐GACCAGTCAACAGGGGACAT‐3′</td></tr><tr><td>[EMPTY_CELL]</td><td>5′‐CCTGACCAAGGAAAGCAAAG‐3′</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Primer</b>\", \"bbox\": [2, 2, 27, 12]}, {\"cell\": \"<b>Sequence</b>\", \"bbox\": [114, 2, 148, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 15, 41, 23]}, {\"cell\": \"5′‐GGAATGAAGGGACACAGAGG‐3′\", \"bbox\": [115, 15, 225, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 33, 42, 41]}, {\"cell\": \"5′‐TAGCACCATCATTTCCACGA‐3′\", \"bbox\": [115, 33, 220, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 49, 41, 57]}, {\"cell\": \"5′‐GGTGCTCCTTCAGATTGACC‐3′\", \"bbox\": [115, 49, 221, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 67, 42, 75]}, {\"cell\": \"5′‐GACCCCTTTTCAGGAACACA‐3′\", \"bbox\": [115, 67, 221, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 83, 38, 91]}, {\"cell\": \"5′‐GGATTCAGTGTCTCGGCTTC‐3′\", \"bbox\": [115, 83, 221, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 101, 39, 109]}, {\"cell\": \"5′‐TGCTGTGCTTCTTCTTTCCA‐3′\", \"bbox\": [115, 101, 218, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 117, 37, 126]}, {\"cell\": \"5′‐CGAGATGCGTGACCAGTATG‐3′\", \"bbox\": [115, 117, 223, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 135, 38, 143]}, {\"cell\": \"5′‐TGTTCTCCAGGGATGCTTTC‐3′\", \"bbox\": [115, 135, 220, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 151, 42, 160]}, {\"cell\": \"5′‐GCTCACTTCGGCTAAAATGC‐3′\", \"bbox\": [115, 151, 221, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 169, 43, 178]}, {\"cell\": \"5′‐CAGCACCAATTCCTTCACAA‐3′\", \"bbox\": [115, 169, 220, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 186, 39, 194]}, {\"cell\": \"5′‐GTCCTGTACGTGAAGCTCGG‐3′\", \"bbox\": [115, 186, 223, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 203, 40, 212]}, {\"cell\": \"5′‐GTACTGGCACTCGTTGATGC‐3′\", \"bbox\": [115, 203, 222, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 220, 28, 228]}, {\"cell\": \"5′‐GCAAGTCCAGACTGGGGATA‐3′\", \"bbox\": [115, 220, 223, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 238, 29, 246]}, {\"cell\": \"5′‐TCAGCACTGATCGGTTATCG‐3′\", \"bbox\": [115, 238, 221, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 254, 39, 262]}, {\"cell\": \"5′‐GAAGGTGAAGGTCGGAGTC‐3′\", \"bbox\": [115, 254, 220, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 272, 40, 280]}, {\"cell\": \"5′‐GAAGATGGTGATGGGATTTC‐3′\", \"bbox\": [115, 272, 223, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 288, 38, 296]}, {\"cell\": \"5′‐GACCAGTCAACAGGGGACAT‐3′\", \"bbox\": [115, 288, 223, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 305, 38, 313]}, {\"cell\": \"5′‐CCTGACCAAGGAAAGCAAAG‐3′\", \"bbox\": [115, 305, 223, 313]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5323822_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}805{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>EMT up-regulated</b></td><td colspan=\\\"3\\\"><b>EMT down-regulated</b></td></tr></thead><tbody><tr><td>Phenotypes<sup>1</sup></td><td>[EMPTY_CELL]</td><td>NOM <i>p</i>-val</td><td>FWER <i>p</i>-val<sup>2</sup></td><td>NES</td><td>NOM <i>p</i>-val</td><td>FWER <i>p</i>-val</td></tr><tr><td>Gender(Male <i>vs</i> Female)</td><td>[EMPTY_CELL]</td><td>0.17</td><td>0.209</td><td>−1.133</td><td>0.247</td><td>0.348</td></tr><tr><td>Age(≥ 60 ys <i>vs</i> < 60 ys)</td><td>[EMPTY_CELL]</td><td>0.35</td><td>0.432</td><td>−1.128</td><td>0.258</td><td>0.331</td></tr><tr><td>Smoking(≥ 20 pys <i>vs</i> < 20 pys)</td><td>[EMPTY_CELL]</td><td>0.198</td><td>0.231</td><td>−0.949</td><td>0.549</td><td>0.609</td></tr><tr><td>T(T3&T4 <i>vs</i> T1&T2)</td><td>[EMPTY_CELL]</td><td>0.394</td><td>0.448</td><td>0.729</td><td>0.94</td><td>0.949</td></tr><tr><td>N(N1&N2 <i>vs</i> N0)</td><td>[EMPTY_CELL]</td><td><0.001</td><td><0.001***</td><td>0.95</td><td>0.552</td><td>0.612</td></tr><tr><td>TNM Stage(I&II <i>vs</i> III)</td><td>[EMPTY_CELL]</td><td>0.068</td><td>0.08*</td><td>0.664</td><td>0.975</td><td>0.976</td></tr><tr><td>Differ.(P <i>vs</i> M&W)</td><td>[EMPTY_CELL]</td><td>0.539</td><td>0.648</td><td>−1.246</td><td>0.142</td><td>0.2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>EMT up-regulated</b>\", \"bbox\": [190, 0, 271, 16]}, {\"cell\": \"<b>EMT down-regulated</b>\", \"bbox\": [342, 0, 437, 16]}, {\"cell\": \"Phenotypes<sup>1</sup>\", \"bbox\": [4, 19, 55, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 22, 173, 33]}, {\"cell\": \"NOM <i>p</i>-val\", \"bbox\": [203, 19, 252, 34]}, {\"cell\": \"FWER <i>p</i>-val<sup>2</sup>\", \"bbox\": [257, 14, 287, 39]}, {\"cell\": \"NES\", \"bbox\": [313, 22, 334, 33]}, {\"cell\": \"NOM <i>p</i>-val\", \"bbox\": [369, 19, 418, 34]}, {\"cell\": \"FWER <i>p</i>-val\", \"bbox\": [426, 14, 456, 39]}, {\"cell\": \"Gender(Male <i>vs</i> Female)\", \"bbox\": [4, 39, 105, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 43, 180, 54]}, {\"cell\": \"0.17\", \"bbox\": [203, 43, 223, 54]}, {\"cell\": \"0.209\", \"bbox\": [257, 39, 282, 55]}, {\"cell\": \"−1.133\", \"bbox\": [313, 43, 341, 54]}, {\"cell\": \"0.247\", \"bbox\": [369, 43, 394, 54]}, {\"cell\": \"0.348\", \"bbox\": [426, 43, 450, 54]}, {\"cell\": \"Age(≥ 60 ys <i>vs</i> < 60 ys)\", \"bbox\": [4, 57, 102, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 57, 176, 73]}, {\"cell\": \"0.35\", \"bbox\": [203, 61, 223, 72]}, {\"cell\": \"0.432\", \"bbox\": [257, 61, 282, 72]}, {\"cell\": \"−1.128\", \"bbox\": [313, 61, 341, 72]}, {\"cell\": \"0.258\", \"bbox\": [369, 61, 394, 72]}, {\"cell\": \"0.331\", \"bbox\": [426, 61, 450, 72]}, {\"cell\": \"Smoking(≥ 20 pys <i>vs</i> < 20 pys)\", \"bbox\": [4, 76, 131, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 76, 180, 91]}, {\"cell\": \"0.198\", \"bbox\": [203, 76, 228, 91]}, {\"cell\": \"0.231\", \"bbox\": [257, 79, 282, 91]}, {\"cell\": \"−0.949\", \"bbox\": [313, 76, 341, 91]}, {\"cell\": \"0.549\", \"bbox\": [369, 76, 394, 91]}, {\"cell\": \"0.609\", \"bbox\": [426, 76, 450, 91]}, {\"cell\": \"T(T3&T4 <i>vs</i> T1&T2)\", \"bbox\": [4, 95, 92, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 98, 176, 109]}, {\"cell\": \"0.394\", \"bbox\": [203, 95, 228, 110]}, {\"cell\": \"0.448\", \"bbox\": [257, 98, 282, 109]}, {\"cell\": \"0.729\", \"bbox\": [313, 95, 338, 110]}, {\"cell\": \"0.94\", \"bbox\": [369, 95, 389, 110]}, {\"cell\": \"0.949\", \"bbox\": [426, 95, 450, 110]}, {\"cell\": \"N(N1&N2 <i>vs</i> N0)\", \"bbox\": [4, 113, 78, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 117, 176, 128]}, {\"cell\": \"<0.001\", \"bbox\": [203, 113, 234, 129]}, {\"cell\": \"<0.001***\", \"bbox\": [257, 113, 303, 129]}, {\"cell\": \"0.95\", \"bbox\": [313, 113, 333, 129]}, {\"cell\": \"0.552\", \"bbox\": [369, 117, 394, 128]}, {\"cell\": \"0.612\", \"bbox\": [426, 113, 450, 129]}, {\"cell\": \"TNM Stage(I&II <i>vs</i> III)\", \"bbox\": [4, 130, 101, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 130, 176, 146]}, {\"cell\": \"0.068\", \"bbox\": [203, 130, 228, 146]}, {\"cell\": \"0.08*\", \"bbox\": [257, 130, 282, 146]}, {\"cell\": \"0.664\", \"bbox\": [313, 130, 338, 146]}, {\"cell\": \"0.975\", \"bbox\": [369, 130, 394, 146]}, {\"cell\": \"0.976\", \"bbox\": [426, 130, 450, 146]}, {\"cell\": \"Differ.(P <i>vs</i> M&W)\", \"bbox\": [4, 146, 83, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [152, 146, 176, 161]}, {\"cell\": \"0.539\", \"bbox\": [203, 146, 228, 161]}, {\"cell\": \"0.648\", \"bbox\": [257, 146, 282, 161]}, {\"cell\": \"−1.246\", \"bbox\": [313, 146, 341, 161]}, {\"cell\": \"0.142\", \"bbox\": [369, 149, 394, 160]}, {\"cell\": \"0.2\", \"bbox\": [426, 149, 440, 160]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5581137_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}806{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Category</b></td><td><b>No. tested</b></td><td><b>No. positive</b></td><td><b>Prevalence in % (95% CI)</b></td><td><b><i>p</i>-value</b></td><td><b>OR (95% CI)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Male</td><td>76</td><td>19</td><td>25.00 (15.04-34.96)</td><td>0.429</td><td>Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>Female</td><td>62</td><td>12</td><td>19.35 (9.24-29.47)</td><td>[EMPTY_CELL]</td><td>0.72 (0.32-1.63)</td></tr><tr><td>[EMPTY_CELL]</td><td>≤ 1 year</td><td>36</td><td>5</td><td>13.89 (2.02-25.76)</td><td>0.002</td><td>Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>1-2 year</td><td>61</td><td>9</td><td>14.75 (5.60-23.91)</td><td>[EMPTY_CELL]</td><td>1.07 (0.33-3.49)</td></tr><tr><td>[EMPTY_CELL]</td><td>≥ 2 year</td><td>41</td><td>17</td><td>41.46 (25.72-57.21)</td><td>[EMPTY_CELL]</td><td>4.39 (1.42-13.60)</td></tr><tr><td>[EMPTY_CELL]</td><td>2011</td><td>16</td><td>4</td><td>25.00 (1.17-48.83)</td><td>0.967</td><td>Reference</td></tr><tr><td>[EMPTY_CELL]</td><td>2012</td><td>31</td><td>6</td><td>19.35 (4.62-34.09)</td><td>[EMPTY_CELL]</td><td>0.72 (0.17-3.04)</td></tr><tr><td>[EMPTY_CELL]</td><td>2013</td><td>37</td><td>9</td><td>24.32 (9.82-38.83)</td><td>[EMPTY_CELL]</td><td>0.96 (0.25-3.75)</td></tr><tr><td>[EMPTY_CELL]</td><td>2014</td><td>28</td><td>7</td><td>25.00 (7.90-42.10)</td><td>[EMPTY_CELL]</td><td>1.00 (0.24-4.13)</td></tr><tr><td>[EMPTY_CELL]</td><td>2015</td><td>26</td><td>5</td><td>19.23 (3.00-35.46)</td><td>[EMPTY_CELL]</td><td>0.71 (0.16-3.18)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>138</td><td>31</td><td>22.46 (15.41-29.51)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [0, 4, 36, 15]}, {\"cell\": \"<b>Category</b>\", \"bbox\": [81, 4, 119, 15]}, {\"cell\": \"<b>No. tested</b>\", \"bbox\": [138, 4, 181, 15]}, {\"cell\": \"<b>No. positive</b>\", \"bbox\": [200, 4, 249, 15]}, {\"cell\": \"<b>Prevalence in % (95% CI)</b>\", \"bbox\": [269, 4, 373, 15]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [393, 4, 423, 15]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [443, 4, 497, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 16, 28]}, {\"cell\": \"Male\", \"bbox\": [81, 17, 102, 28]}, {\"cell\": \"76\", \"bbox\": [138, 17, 149, 28]}, {\"cell\": \"19\", \"bbox\": [200, 17, 211, 28]}, {\"cell\": \"25.00 (15.04-34.96)\", \"bbox\": [269, 17, 345, 28]}, {\"cell\": \"0.429\", \"bbox\": [393, 17, 415, 28]}, {\"cell\": \"Reference\", \"bbox\": [443, 17, 482, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [81, 30, 111, 41]}, {\"cell\": \"62\", \"bbox\": [138, 30, 149, 41]}, {\"cell\": \"12\", \"bbox\": [200, 30, 211, 41]}, {\"cell\": \"19.35 (9.24-29.47)\", \"bbox\": [269, 30, 341, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.72 (0.32-1.63)\", \"bbox\": [443, 30, 505, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 42, 18, 53]}, {\"cell\": \"≤ 1 year\", \"bbox\": [81, 42, 114, 53]}, {\"cell\": \"36\", \"bbox\": [138, 42, 149, 53]}, {\"cell\": \"5\", \"bbox\": [200, 42, 207, 53]}, {\"cell\": \"13.89 (2.02-25.76)\", \"bbox\": [269, 42, 341, 53]}, {\"cell\": \"0.002\", \"bbox\": [393, 42, 415, 53]}, {\"cell\": \"Reference\", \"bbox\": [443, 42, 482, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1-2 year\", \"bbox\": [81, 55, 113, 66]}, {\"cell\": \"61\", \"bbox\": [138, 55, 149, 66]}, {\"cell\": \"9\", \"bbox\": [200, 55, 207, 66]}, {\"cell\": \"14.75 (5.60-23.91)\", \"bbox\": [269, 55, 341, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.07 (0.33-3.49)\", \"bbox\": [443, 55, 505, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥ 2 year\", \"bbox\": [81, 67, 113, 78]}, {\"cell\": \"41\", \"bbox\": [138, 67, 149, 78]}, {\"cell\": \"17\", \"bbox\": [200, 67, 211, 78]}, {\"cell\": \"41.46 (25.72-57.21)\", \"bbox\": [269, 67, 345, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4.39 (1.42-13.60)\", \"bbox\": [443, 67, 510, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 61, 91]}, {\"cell\": \"2011\", \"bbox\": [81, 80, 101, 91]}, {\"cell\": \"16\", \"bbox\": [138, 80, 149, 91]}, {\"cell\": \"4\", \"bbox\": [200, 80, 207, 91]}, {\"cell\": \"25.00 (1.17-48.83)\", \"bbox\": [269, 80, 341, 91]}, {\"cell\": \"0.967\", \"bbox\": [393, 80, 415, 91]}, {\"cell\": \"Reference\", \"bbox\": [443, 80, 482, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2012\", \"bbox\": [81, 92, 101, 103]}, {\"cell\": \"31\", \"bbox\": [138, 92, 149, 103]}, {\"cell\": \"6\", \"bbox\": [200, 92, 207, 103]}, {\"cell\": \"19.35 (4.62-34.09)\", \"bbox\": [269, 92, 341, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.72 (0.17-3.04)\", \"bbox\": [443, 92, 505, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2013\", \"bbox\": [81, 104, 101, 115]}, {\"cell\": \"37\", \"bbox\": [138, 104, 149, 115]}, {\"cell\": \"9\", \"bbox\": [200, 104, 207, 115]}, {\"cell\": \"24.32 (9.82-38.83)\", \"bbox\": [269, 104, 341, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.96 (0.25-3.75)\", \"bbox\": [443, 104, 505, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2014\", \"bbox\": [81, 117, 101, 128]}, {\"cell\": \"28\", \"bbox\": [138, 117, 149, 128]}, {\"cell\": \"7\", \"bbox\": [200, 117, 207, 128]}, {\"cell\": \"25.00 (7.90-42.10)\", \"bbox\": [269, 117, 341, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00 (0.24-4.13)\", \"bbox\": [443, 117, 505, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2015\", \"bbox\": [81, 129, 101, 140]}, {\"cell\": \"26\", \"bbox\": [138, 129, 149, 140]}, {\"cell\": \"5\", \"bbox\": [200, 129, 207, 140]}, {\"cell\": \"19.23 (3.00-35.46)\", \"bbox\": [269, 129, 341, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.71 (0.16-3.18)\", \"bbox\": [443, 129, 505, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 142, 24, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"138\", \"bbox\": [138, 142, 154, 153]}, {\"cell\": \"31\", \"bbox\": [200, 142, 211, 153]}, {\"cell\": \"22.46 (15.41-29.51)\", \"bbox\": [269, 142, 345, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5892174_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}807{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Treatment group</b></td><td colspan=\\\"2\\\"><b>Number of animals</b></td><td rowspan=\\\"2\\\"><b>Number of deaths and clinical manifestations</b></td><td rowspan=\\\"2\\\"><b>% Dead</b></td></tr><tr><td><b>Start</b></td><td><b>End</b></td></tr></thead><tbody><tr><td>Control - Deionized water</td><td>10</td><td>10</td><td>NIL (normal behavior)</td><td>[EMPTY_CELL]</td></tr><tr><td>2 mg/kg (500 mg/L of 0.1%) PHMB</td><td>10</td><td>10</td><td>NIL (normal movements and 4 with reduced response to stimuli)</td><td>[EMPTY_CELL]</td></tr><tr><td>8 mg/kg (2000 mg/L of 0.1%) PHMB</td><td>10</td><td>8</td><td>2 (after 6 hours tonic-clonic movements with repetitive circling)</td><td>[EMPTY_CELL]</td></tr><tr><td>25.6 mg/kg (6400 mg/L of 0.1%) PHMB</td><td>10</td><td>5</td><td>5 (2 within 5 minutes, 1 after 1 hour and 2 within 24hours with tonic-clonic convulsions)</td><td>[EMPTY_CELL]</td></tr><tr><td>32 mg/kg (8000 mg/L of 0.1%) PHMB</td><td>10</td><td>2</td><td>8 (6 within 6 hours and 2 within 24 hours)</td><td>[EMPTY_CELL]</td></tr><tr><td>40 mg/kg (10000 mg/L of 0.1%) PHMB</td><td>10</td><td>NIL</td><td>10 (all within 1 hour with convulsions, changes in gait and respiratory distress)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Treatment group</b>\", \"bbox\": [3, 26, 65, 36]}, {\"cell\": \"<b>Number of animals</b>\", \"bbox\": [125, 8, 194, 17]}, {\"cell\": \"<b>Number of deaths and clinical manifestations</b>\", \"bbox\": [241, 26, 402, 36]}, {\"cell\": \"<b>% Dead</b>\", \"bbox\": [451, 26, 480, 36]}, {\"cell\": \"<b>Start</b>\", \"bbox\": [132, 26, 151, 36]}, {\"cell\": \"<b>End</b>\", \"bbox\": [170, 26, 185, 36]}, {\"cell\": \"Control - Deionized water\", \"bbox\": [3, 43, 83, 52]}, {\"cell\": \"10\", \"bbox\": [137, 43, 146, 52]}, {\"cell\": \"10\", \"bbox\": [173, 43, 182, 52]}, {\"cell\": \"NIL (normal behavior)\", \"bbox\": [194, 43, 262, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 43, 472, 52]}, {\"cell\": \"2 mg/kg (500 mg/L of 0.1%) PHMB\", \"bbox\": [3, 58, 108, 68]}, {\"cell\": \"10\", \"bbox\": [137, 58, 146, 68]}, {\"cell\": \"10\", \"bbox\": [173, 58, 182, 68]}, {\"cell\": \"NIL (normal movements and 4 with reduced response to stimuli)\", \"bbox\": [194, 58, 391, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [460, 58, 472, 68]}, {\"cell\": \"8 mg/kg (2000 mg/L of 0.1%) PHMB\", \"bbox\": [3, 73, 114, 83]}, {\"cell\": \"10\", \"bbox\": [137, 73, 146, 83]}, {\"cell\": \"8\", \"bbox\": [175, 73, 180, 83]}, {\"cell\": \"2 (after 6 hours tonic-clonic movements with repetitive circling)\", \"bbox\": [194, 73, 388, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 73, 473, 83]}, {\"cell\": \"25.6 mg/kg (6400 mg/L of 0.1%) PHMB\", \"bbox\": [3, 92, 122, 102]}, {\"cell\": \"10\", \"bbox\": [137, 92, 146, 102]}, {\"cell\": \"5\", \"bbox\": [174, 92, 180, 102]}, {\"cell\": \"5 (2 within 5 minutes, 1 after 1 hour and 2 within 24hours with tonic-clonic convulsions)\", \"bbox\": [194, 88, 422, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 92, 473, 102]}, {\"cell\": \"32 mg/kg (8000 mg/L of 0.1%) PHMB\", \"bbox\": [3, 111, 116, 120]}, {\"cell\": \"10\", \"bbox\": [137, 111, 146, 120]}, {\"cell\": \"2\", \"bbox\": [175, 111, 180, 120]}, {\"cell\": \"8 (6 within 6 hours and 2 within 24 hours)\", \"bbox\": [194, 111, 321, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 111, 473, 120]}, {\"cell\": \"40 mg/kg (10000 mg/L of 0.1%) PHMB\", \"bbox\": [3, 126, 120, 136]}, {\"cell\": \"10\", \"bbox\": [137, 126, 146, 136]}, {\"cell\": \"NIL\", \"bbox\": [171, 126, 183, 136]}, {\"cell\": \"10 (all within 1 hour with convulsions, changes in gait and respiratory distress)\", \"bbox\": [194, 126, 432, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [456, 126, 475, 136]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4961918_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}808{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Indicators</b></td><td><b>N</b></td><td><b>r</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>82</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>78</td><td>−0.586</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>72</td><td>0.035</td><td>0.75</td></tr><tr><td>[EMPTY_CELL]</td><td>79</td><td>−0.077</td><td>0.48</td></tr><tr><td>[EMPTY_CELL]</td><td>76</td><td>−0.47</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>65</td><td>0.64</td><td><0.001</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>75</td><td>−0.65</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>76</td><td>−0.78</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>75</td><td>−0.424</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>69</td><td>0.33</td><td>0.002</td></tr><tr><td>[EMPTY_CELL]</td><td>82</td><td>0.72</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>80</td><td>0.73</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>56</td><td>−0.506</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>66</td><td>−0.45</td><td><0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>79</td><td>−0.32</td><td>0.003</td></tr><tr><td>[EMPTY_CELL]</td><td>80</td><td>−0.678</td><td><0.001</td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>82</td><td>0.242</td><td>0.027</td></tr><tr><td>[EMPTY_CELL]</td><td>64</td><td>0.19</td><td>0.08</td></tr><tr><td>[EMPTY_CELL]</td><td>80</td><td>0.48</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Indicators</b>\", \"bbox\": [1, 4, 33, 13]}, {\"cell\": \"<b>N</b>\", \"bbox\": [156, 4, 163, 13]}, {\"cell\": \"<b>r</b>\", \"bbox\": [177, 4, 181, 13]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [211, 4, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 17, 129, 36]}, {\"cell\": \"82\", \"bbox\": [156, 17, 166, 27]}, {\"cell\": \"1\", \"bbox\": [177, 17, 183, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 40, 84, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 54, 107, 64]}, {\"cell\": \"78\", \"bbox\": [156, 54, 166, 64]}, {\"cell\": \"−0.586\", \"bbox\": [177, 54, 200, 64]}, {\"cell\": \"<0.001\", \"bbox\": [211, 54, 235, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 68, 75, 78]}, {\"cell\": \"72\", \"bbox\": [156, 68, 166, 78]}, {\"cell\": \"0.035\", \"bbox\": [177, 68, 195, 78]}, {\"cell\": \"0.75\", \"bbox\": [211, 68, 226, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 82, 109, 92]}, {\"cell\": \"79\", \"bbox\": [156, 82, 166, 92]}, {\"cell\": \"−0.077\", \"bbox\": [177, 82, 200, 92]}, {\"cell\": \"0.48\", \"bbox\": [211, 82, 226, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 96, 81, 106]}, {\"cell\": \"76\", \"bbox\": [156, 96, 166, 106]}, {\"cell\": \"−0.47\", \"bbox\": [177, 96, 196, 106]}, {\"cell\": \"<0.001\", \"bbox\": [211, 96, 235, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 110, 68, 120]}, {\"cell\": \"65\", \"bbox\": [156, 110, 166, 120]}, {\"cell\": \"0.64\", \"bbox\": [177, 110, 192, 120]}, {\"cell\": \"<0.001\", \"bbox\": [211, 110, 235, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 124, 117, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 138, 101, 148]}, {\"cell\": \"75\", \"bbox\": [156, 138, 166, 148]}, {\"cell\": \"−0.65\", \"bbox\": [177, 138, 196, 148]}, {\"cell\": \"<0.001\", \"bbox\": [211, 138, 235, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 152, 102, 162]}, {\"cell\": \"76\", \"bbox\": [156, 152, 166, 162]}, {\"cell\": \"−0.78\", \"bbox\": [177, 152, 196, 162]}, {\"cell\": \"<0.001\", \"bbox\": [211, 152, 235, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 166, 120, 176]}, {\"cell\": \"75\", \"bbox\": [156, 166, 166, 176]}, {\"cell\": \"−0.424\", \"bbox\": [177, 166, 200, 176]}, {\"cell\": \"<0.001\", \"bbox\": [211, 166, 235, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 180, 100, 190]}, {\"cell\": \"69\", \"bbox\": [156, 180, 166, 190]}, {\"cell\": \"0.33\", \"bbox\": [177, 180, 192, 190]}, {\"cell\": \"0.002\", \"bbox\": [211, 180, 230, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 194, 96, 204]}, {\"cell\": \"82\", \"bbox\": [156, 194, 166, 204]}, {\"cell\": \"0.72\", \"bbox\": [177, 194, 192, 204]}, {\"cell\": \"<0.001\", \"bbox\": [211, 194, 235, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 208, 92, 218]}, {\"cell\": \"80\", \"bbox\": [156, 208, 166, 218]}, {\"cell\": \"0.73\", \"bbox\": [177, 208, 192, 218]}, {\"cell\": \"<0.001\", \"bbox\": [211, 208, 235, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 222, 131, 232]}, {\"cell\": \"56\", \"bbox\": [156, 222, 166, 232]}, {\"cell\": \"−0.506\", \"bbox\": [177, 222, 200, 232]}, {\"cell\": \"<0.001\", \"bbox\": [211, 222, 235, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 236, 125, 255]}, {\"cell\": \"66\", \"bbox\": [156, 236, 166, 246]}, {\"cell\": \"−0.45\", \"bbox\": [177, 236, 196, 246]}, {\"cell\": \"<0.001\", \"bbox\": [211, 236, 235, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 259, 105, 269]}, {\"cell\": \"79\", \"bbox\": [156, 259, 166, 269]}, {\"cell\": \"−0.32\", \"bbox\": [177, 259, 196, 269]}, {\"cell\": \"0.003\", \"bbox\": [211, 259, 230, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 273, 118, 283]}, {\"cell\": \"80\", \"bbox\": [156, 273, 166, 283]}, {\"cell\": \"−0.678\", \"bbox\": [177, 273, 200, 283]}, {\"cell\": \"<0.001\", \"bbox\": [211, 273, 235, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 287, 106, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 301, 145, 311]}, {\"cell\": \"82\", \"bbox\": [156, 301, 166, 311]}, {\"cell\": \"0.242\", \"bbox\": [177, 301, 195, 311]}, {\"cell\": \"0.027\", \"bbox\": [211, 301, 230, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 315, 113, 325]}, {\"cell\": \"64\", \"bbox\": [156, 315, 166, 325]}, {\"cell\": \"0.19\", \"bbox\": [177, 315, 192, 325]}, {\"cell\": \"0.08\", \"bbox\": [211, 315, 226, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 329, 144, 339]}, {\"cell\": \"80\", \"bbox\": [156, 329, 166, 339]}, {\"cell\": \"0.48\", \"bbox\": [177, 329, 192, 339]}, {\"cell\": \"<0.001\", \"bbox\": [211, 329, 235, 339]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5674830_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}809{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Group A (<i>n</i> = 40)(3-h clamp)</b></td><td><b>Group B (<i>n</i> = 40)(4-h clamp)</b></td><td><b>Group C(<i>n</i> = 40)(non-clamp)</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">Hb (g/dl)</td></tr><tr><td> Day 2</td><td>9.9 ± 1.8</td><td>[EMPTY_CELL]</td><td>9.0 ± 1.3</td><td>0.030</td></tr><tr><td> Day 5</td><td>10.2 ± 1.2</td><td>[EMPTY_CELL]</td><td>9.6 ± 1.2</td><td>0.067</td></tr><tr><td>Estimated blood loss (ml)</td><td>1050.5 ± 450.6</td><td>[EMPTY_CELL]</td><td>1391 ± 554.3</td><td>0.011</td></tr><tr><td>Drained blood volume (ml)</td><td>545.1 ± 186.5</td><td>[EMPTY_CELL]</td><td>652.6 ± 211.0</td><td>0.010</td></tr><tr><td>Hidden blood loss</td><td>505.3 ± 469.9</td><td>[EMPTY_CELL]</td><td>739.2 ± 557.0</td><td>0.145</td></tr><tr><td>RBC transfusion (unit)</td><td>0.9 ± 0.8</td><td>[EMPTY_CELL]</td><td>1.5 ± 1.0</td><td>0.004</td></tr><tr><td>ROM at post OP 5 day (degree)</td><td>92.5 ± 7.8</td><td>[EMPTY_CELL]</td><td>90.8 ± 9.8</td><td><0.001</td></tr><tr><td colspan=\\\"5\\\">VAS</td></tr><tr><td> Day 2<sup>a</sup></td><td>5 (3–9)</td><td>[EMPTY_CELL]</td><td>5 (3–9)</td><td>0.022</td></tr><tr><td> Day 5<sup>a</sup></td><td>4 (2–9)</td><td>[EMPTY_CELL]</td><td>4 (2–6)</td><td>0.009</td></tr><tr><td colspan=\\\"5\\\">Wound complications</td></tr><tr><td> Major bruising (<i>n</i>)</td><td>2</td><td>[EMPTY_CELL]</td><td>2</td><td>0.860</td></tr><tr><td> Blister (<i>n</i>)</td><td>1</td><td>[EMPTY_CELL]</td><td>1</td><td>0.774</td></tr><tr><td> Oozing (<i>n</i>)</td><td>2</td><td>[EMPTY_CELL]</td><td>1</td><td>0.349</td></tr><tr><td> Superficial infection (<i>n</i>)</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>0.368</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Group A (<i>n</i> = 40)(3-h clamp)</b>\", \"bbox\": [152, 4, 207, 22]}, {\"cell\": \"<b>Group B (<i>n</i> = 40)(4-h clamp)</b>\", \"bbox\": [255, 4, 310, 22]}, {\"cell\": \"<b>Group C(<i>n</i> = 40)(non-clamp)</b>\", \"bbox\": [358, 4, 411, 22]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [459, 4, 484, 13]}, {\"cell\": \"Hb (g/dl)\", \"bbox\": [1, 26, 31, 36]}, {\"cell\": \" Day 2\", \"bbox\": [8, 40, 29, 50]}, {\"cell\": \"9.9 ± 1.8\", \"bbox\": [152, 40, 180, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 40, 283, 50]}, {\"cell\": \"9.0 ± 1.3\", \"bbox\": [358, 40, 386, 50]}, {\"cell\": \"0.030\", \"bbox\": [459, 40, 478, 50]}, {\"cell\": \" Day 5\", \"bbox\": [8, 54, 29, 64]}, {\"cell\": \"10.2 ± 1.2\", \"bbox\": [152, 54, 183, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 54, 287, 64]}, {\"cell\": \"9.6 ± 1.2\", \"bbox\": [358, 54, 386, 64]}, {\"cell\": \"0.067\", \"bbox\": [459, 54, 478, 64]}, {\"cell\": \"Estimated blood loss (ml)\", \"bbox\": [1, 68, 84, 78]}, {\"cell\": \"1050.5 ± 450.6\", \"bbox\": [152, 68, 199, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 68, 302, 78]}, {\"cell\": \"1391 ± 554.3\", \"bbox\": [358, 68, 400, 78]}, {\"cell\": \"0.011\", \"bbox\": [459, 68, 478, 78]}, {\"cell\": \"Drained blood volume (ml)\", \"bbox\": [1, 82, 90, 92]}, {\"cell\": \"545.1 ± 186.5\", \"bbox\": [152, 82, 195, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 82, 299, 92]}, {\"cell\": \"652.6 ± 211.0\", \"bbox\": [358, 82, 402, 92]}, {\"cell\": \"0.010\", \"bbox\": [459, 82, 478, 92]}, {\"cell\": \"Hidden blood loss\", \"bbox\": [1, 96, 61, 106]}, {\"cell\": \"505.3 ± 469.9\", \"bbox\": [152, 96, 195, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 96, 299, 106]}, {\"cell\": \"739.2 ± 557.0\", \"bbox\": [358, 96, 402, 106]}, {\"cell\": \"0.145\", \"bbox\": [459, 96, 478, 106]}, {\"cell\": \"RBC transfusion (unit)\", \"bbox\": [1, 110, 71, 120]}, {\"cell\": \"0.9 ± 0.8\", \"bbox\": [152, 110, 180, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 110, 283, 120]}, {\"cell\": \"1.5 ± 1.0\", \"bbox\": [358, 110, 386, 120]}, {\"cell\": \"0.004\", \"bbox\": [460, 110, 478, 120]}, {\"cell\": \"ROM at post OP 5 day (degree)\", \"bbox\": [1, 124, 103, 134]}, {\"cell\": \"92.5 ± 7.8\", \"bbox\": [152, 124, 183, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 124, 291, 134]}, {\"cell\": \"90.8 ± 9.8\", \"bbox\": [358, 124, 390, 134]}, {\"cell\": \"<0.001\", \"bbox\": [459, 124, 483, 134]}, {\"cell\": \"VAS\", \"bbox\": [1, 138, 15, 148]}, {\"cell\": \" Day 2<sup>a</sup>\", \"bbox\": [8, 150, 32, 162]}, {\"cell\": \"5 (3–9)\", \"bbox\": [152, 152, 176, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 152, 279, 162]}, {\"cell\": \"5 (3–9)\", \"bbox\": [358, 152, 382, 162]}, {\"cell\": \"0.022\", \"bbox\": [459, 152, 478, 162]}, {\"cell\": \" Day 5<sup>a</sup>\", \"bbox\": [8, 164, 32, 176]}, {\"cell\": \"4 (2–9)\", \"bbox\": [152, 166, 176, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 166, 279, 176]}, {\"cell\": \"4 (2–6)\", \"bbox\": [358, 166, 382, 176]}, {\"cell\": \"0.009\", \"bbox\": [459, 166, 478, 176]}, {\"cell\": \"Wound complications\", \"bbox\": [1, 180, 73, 190]}, {\"cell\": \" Major bruising (<i>n</i>)\", \"bbox\": [8, 194, 67, 204]}, {\"cell\": \"2\", \"bbox\": [152, 194, 158, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 194, 261, 204]}, {\"cell\": \"2\", \"bbox\": [358, 194, 364, 204]}, {\"cell\": \"0.860\", \"bbox\": [459, 194, 478, 204]}, {\"cell\": \" Blister (<i>n</i>)\", \"bbox\": [9, 208, 40, 218]}, {\"cell\": \"1\", \"bbox\": [152, 208, 158, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 208, 261, 218]}, {\"cell\": \"1\", \"bbox\": [358, 208, 364, 218]}, {\"cell\": \"0.774\", \"bbox\": [459, 208, 478, 218]}, {\"cell\": \" Oozing (<i>n</i>)\", \"bbox\": [9, 222, 44, 232]}, {\"cell\": \"2\", \"bbox\": [152, 222, 158, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 222, 261, 232]}, {\"cell\": \"1\", \"bbox\": [358, 222, 364, 232]}, {\"cell\": \"0.349\", \"bbox\": [460, 222, 478, 232]}, {\"cell\": \" Superficial infection (<i>n</i>)\", \"bbox\": [9, 236, 84, 246]}, {\"cell\": \"0\", \"bbox\": [152, 236, 158, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 236, 261, 246]}, {\"cell\": \"0\", \"bbox\": [358, 236, 364, 246]}, {\"cell\": \"0.368\", \"bbox\": [460, 236, 478, 246]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5361815_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}810{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>≥10% eGFR loss</b></td><td><b>Univariate analysis</b></td><td colspan=\\\"6\\\"><b>Estimates: asymptotic Cox regression multivariate</b></td></tr><tr><td><b>Variables in the model</b></td><td><b><i>p</i></b></td><td><b><i>B</i></b></td><td><b>SE</b></td><td><b><i>p</i></b></td><td><b>HR</b></td><td colspan=\\\"2\\\"><b>95% CI for Exp (<i>B</i>) (lower–upper)</b></td></tr></thead><tbody><tr><td>CD107a/Lamp1URI >3</td><td>0.033</td><td>1.04</td><td>0.50</td><td>0.038</td><td>2.83</td><td>1.06</td><td>[EMPTY_CELL]</td></tr><tr><td>eGFR 1 year after transplantation</td><td>0.001</td><td>−0.06</td><td>0.02</td><td>0.001</td><td>0.94</td><td>0.91</td><td>[EMPTY_CELL]</td></tr><tr><td>eGFR at time of evaluation</td><td>0.386</td><td>0.03</td><td>0.01</td><td>0.036</td><td>1.03</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Maintenance treatment: azathioprine</td><td>0.044</td><td>0.93</td><td>0.48</td><td>0.052</td><td>2.53</td><td>0.99</td><td>[EMPTY_CELL]</td></tr><tr><td>Smoking of time of enrollment</td><td>0.179<sup>t</sup></td><td>−0.05</td><td>0.44</td><td>0.273</td><td>0.62</td><td>0.26</td><td>[EMPTY_CELL]</td></tr><tr><td>Presence of DSA at time of enrollment</td><td>0.214</td><td>−0.55</td><td>0.65</td><td>0.401</td><td>0.58</td><td>0.16</td><td>[EMPTY_CELL]</td></tr><tr><td>Recipient age at transplant ≥55 years</td><td>0.157<sup>t</sup></td><td>−0.32</td><td>0.39</td><td>0.416</td><td>0.73</td><td>0.34</td><td>[EMPTY_CELL]</td></tr><tr><td>Time posttransplant at time of enrollment</td><td>0.333</td><td>0.05</td><td>0.11</td><td>0.640</td><td>1.05</td><td>0.85</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of NK cells at time of enrollment</td><td>0.192<sup>t</sup></td><td>−0.001</td><td>0.002</td><td>0.688</td><td>1.00</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Donor age at time of transplant</td><td><b>0.049</b></td><td>0.004</td><td>0.01</td><td>0.761</td><td>1.00</td><td>0.98</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>≥10% eGFR loss</b>\", \"bbox\": [1, 7, 59, 15]}, {\"cell\": \"<b>Univariate analysis</b>\", \"bbox\": [139, 6, 204, 15]}, {\"cell\": \"<b>Estimates: asymptotic Cox regression multivariate</b>\", \"bbox\": [273, 6, 443, 15]}, {\"cell\": \"<b>Variables in the model</b>\", \"bbox\": [1, 24, 76, 32]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [169, 24, 175, 32]}, {\"cell\": \"<b><i>B</i></b>\", \"bbox\": [231, 24, 238, 32]}, {\"cell\": \"<b>SE</b>\", \"bbox\": [273, 24, 284, 32]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [318, 24, 324, 32]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [360, 24, 372, 32]}, {\"cell\": \"<b>95% CI for Exp (<i>B</i>) (lower–upper)</b>\", \"bbox\": [392, 24, 502, 32]}, {\"cell\": \"CD107a/Lamp1URI >3\", \"bbox\": [1, 41, 73, 49]}, {\"cell\": \"0.033\", \"bbox\": [162, 41, 181, 49]}, {\"cell\": \"1.04\", \"bbox\": [223, 41, 238, 49]}, {\"cell\": \"0.50\", \"bbox\": [270, 41, 286, 49]}, {\"cell\": \"0.038\", \"bbox\": [311, 41, 330, 49]}, {\"cell\": \"2.83\", \"bbox\": [358, 41, 373, 49]}, {\"cell\": \"1.06\", \"bbox\": [410, 41, 426, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 41, 485, 49]}, {\"cell\": \"eGFR 1 year after transplantation\", \"bbox\": [1, 51, 102, 60]}, {\"cell\": \"0.001\", \"bbox\": [162, 51, 181, 60]}, {\"cell\": \"−0.06\", \"bbox\": [218, 51, 238, 60]}, {\"cell\": \"0.02\", \"bbox\": [270, 51, 286, 60]}, {\"cell\": \"0.001\", \"bbox\": [311, 51, 330, 60]}, {\"cell\": \"0.94\", \"bbox\": [358, 51, 373, 60]}, {\"cell\": \"0.91\", \"bbox\": [410, 51, 426, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 51, 485, 60]}, {\"cell\": \"eGFR at time of evaluation\", \"bbox\": [1, 62, 82, 70]}, {\"cell\": \"0.386\", \"bbox\": [162, 62, 181, 70]}, {\"cell\": \"0.03\", \"bbox\": [223, 62, 238, 70]}, {\"cell\": \"0.01\", \"bbox\": [270, 62, 286, 70]}, {\"cell\": \"0.036\", \"bbox\": [311, 62, 330, 70]}, {\"cell\": \"1.03\", \"bbox\": [358, 62, 373, 70]}, {\"cell\": \"1.00\", \"bbox\": [410, 62, 426, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 62, 485, 70]}, {\"cell\": \"Maintenance treatment: azathioprine\", \"bbox\": [1, 72, 112, 81]}, {\"cell\": \"0.044\", \"bbox\": [162, 72, 181, 81]}, {\"cell\": \"0.93\", \"bbox\": [223, 72, 238, 81]}, {\"cell\": \"0.48\", \"bbox\": [270, 72, 286, 81]}, {\"cell\": \"0.052\", \"bbox\": [311, 72, 330, 81]}, {\"cell\": \"2.53\", \"bbox\": [358, 72, 373, 81]}, {\"cell\": \"0.99\", \"bbox\": [410, 72, 426, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 72, 485, 81]}, {\"cell\": \"Smoking of time of enrollment\", \"bbox\": [1, 83, 92, 91]}, {\"cell\": \"0.179<sup>t</sup>\", \"bbox\": [161, 83, 182, 91]}, {\"cell\": \"−0.05\", \"bbox\": [218, 83, 238, 91]}, {\"cell\": \"0.44\", \"bbox\": [270, 83, 286, 91]}, {\"cell\": \"0.273\", \"bbox\": [311, 83, 330, 91]}, {\"cell\": \"0.62\", \"bbox\": [358, 83, 373, 91]}, {\"cell\": \"0.26\", \"bbox\": [410, 83, 426, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 83, 485, 91]}, {\"cell\": \"Presence of DSA at time of enrollment\", \"bbox\": [1, 94, 117, 102]}, {\"cell\": \"0.214\", \"bbox\": [162, 94, 181, 102]}, {\"cell\": \"−0.55\", \"bbox\": [218, 94, 238, 102]}, {\"cell\": \"0.65\", \"bbox\": [270, 94, 286, 102]}, {\"cell\": \"0.401\", \"bbox\": [311, 94, 330, 102]}, {\"cell\": \"0.58\", \"bbox\": [358, 94, 373, 102]}, {\"cell\": \"0.16\", \"bbox\": [410, 94, 426, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 94, 485, 102]}, {\"cell\": \"Recipient age at transplant ≥55 years\", \"bbox\": [1, 104, 116, 113]}, {\"cell\": \"0.157<sup>t</sup>\", \"bbox\": [161, 104, 182, 113]}, {\"cell\": \"−0.32\", \"bbox\": [218, 104, 238, 113]}, {\"cell\": \"0.39\", \"bbox\": [270, 104, 286, 113]}, {\"cell\": \"0.416\", \"bbox\": [311, 104, 330, 113]}, {\"cell\": \"0.73\", \"bbox\": [358, 104, 373, 113]}, {\"cell\": \"0.34\", \"bbox\": [410, 104, 426, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 104, 485, 113]}, {\"cell\": \"Time posttransplant at time of enrollment\", \"bbox\": [1, 115, 126, 124]}, {\"cell\": \"0.333\", \"bbox\": [162, 115, 181, 124]}, {\"cell\": \"0.05\", \"bbox\": [223, 115, 238, 124]}, {\"cell\": \"0.11\", \"bbox\": [270, 115, 286, 124]}, {\"cell\": \"0.640\", \"bbox\": [311, 115, 330, 124]}, {\"cell\": \"1.05\", \"bbox\": [358, 115, 373, 124]}, {\"cell\": \"0.85\", \"bbox\": [410, 115, 426, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 115, 485, 124]}, {\"cell\": \"Number of NK cells at time of enrollment\", \"bbox\": [1, 126, 124, 134]}, {\"cell\": \"0.192<sup>t</sup>\", \"bbox\": [161, 126, 182, 134]}, {\"cell\": \"−0.001\", \"bbox\": [218, 126, 242, 134]}, {\"cell\": \"0.002\", \"bbox\": [270, 126, 289, 134]}, {\"cell\": \"0.688\", \"bbox\": [311, 126, 330, 134]}, {\"cell\": \"1.00\", \"bbox\": [358, 126, 373, 134]}, {\"cell\": \"1.00\", \"bbox\": [410, 126, 426, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 126, 485, 134]}, {\"cell\": \"Donor age at time of transplant\", \"bbox\": [1, 136, 96, 145]}, {\"cell\": \"<b>0.049</b>\", \"bbox\": [162, 136, 181, 145]}, {\"cell\": \"0.004\", \"bbox\": [223, 136, 242, 145]}, {\"cell\": \"0.01\", \"bbox\": [270, 136, 286, 145]}, {\"cell\": \"0.761\", \"bbox\": [311, 136, 330, 145]}, {\"cell\": \"1.00\", \"bbox\": [358, 136, 373, 145]}, {\"cell\": \"0.98\", \"bbox\": [410, 136, 426, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [469, 136, 485, 145]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4980873_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}811{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Average Age(sd)</b></td><td><b>Mobility</b></td><td><b>Self-care</b></td><td><b>Usual activities</b></td><td><b>Pain/Discomfort</b></td><td><b>Depression/Anxiety</b></td></tr></thead><tbody><tr><td><b>HIV+<sup>i</sup></b></td><td><b>40.4(8.1)</b></td><td>[EMPTY_CELL]</td><td><b>4.60%</b></td><td><b>27.94%</b></td><td><b>44.75%</b></td><td><b>51.74%</b></td></tr><tr><td> HIV-asymptomatic</td><td>39.5 (7.8)</td><td>[EMPTY_CELL]</td><td>4.69%</td><td>23.44%</td><td>42.19%</td><td>49.41%</td></tr><tr><td> HIV-symptomatic</td><td>40.6 (8.1)</td><td>[EMPTY_CELL]</td><td>5.07%</td><td>28.26%</td><td>41.61%</td><td>46.76%</td></tr><tr><td> AIDS</td><td>41.8 (8.7)</td><td>[EMPTY_CELL]</td><td>4.03%</td><td>35.33%</td><td>52.00%</td><td>60.26%</td></tr><tr><td><b>Alzheimer disease<sup>ii</sup></b></td><td><b>75.5 (8.5)</b></td><td>[EMPTY_CELL]</td><td><b>84.49%</b></td><td><b>95.10%</b></td><td><b>68.57%</b></td><td><b>73.47%</b></td></tr><tr><td> AD mild</td><td>73.7 (7.1)</td><td>[EMPTY_CELL]</td><td>63.27%</td><td>93.88%</td><td>65.31%</td><td>81.63%</td></tr><tr><td> AD medium</td><td>75.4 (8.6)</td><td>[EMPTY_CELL]</td><td>90.11%</td><td>95.60%</td><td>68.13%</td><td>73.63%</td></tr><tr><td> AD severe</td><td>76.6 (9.3)</td><td>[EMPTY_CELL]</td><td>96.91%</td><td>98.97%</td><td>71.13%</td><td>69.07%</td></tr><tr><td><b>Stroke<sup>iii</sup></b></td><td><b>66.9 (12.2)</b></td><td>[EMPTY_CELL]</td><td><b>48.39%</b></td><td><b>64.24%</b></td><td><b>71.00%</b></td><td><b>65.90%</b></td></tr><tr><td> Stroke survivor first year</td><td>67.2 (11.6)</td><td>[EMPTY_CELL]</td><td>46.24%</td><td>64.89%</td><td>68.13%</td><td>64.13%</td></tr><tr><td> Stroke survivor second year</td><td>67.1 (12.5)</td><td>[EMPTY_CELL]</td><td>49.49%</td><td>64.88%</td><td>72.64%</td><td>66.33%</td></tr><tr><td> Stroke survivor three or more years</td><td>66.4 (12.1)</td><td>[EMPTY_CELL]</td><td>48.28%</td><td>6.45%</td><td>70.55%</td><td>66.43%</td></tr><tr><td><b>Diabetes Mellitus<sup>iv</sup></b></td><td><b>63.8 (13.8)</b></td><td>[EMPTY_CELL]</td><td><b>15.70%</b></td><td><b>35.64%</b></td><td><b>62.98%</b></td><td><b>43.06%</b></td></tr><tr><td><b>Rheumatism; arthritis; degenerative osteoarthritis<sup>iv</sup></b></td><td><b>62.4 (14.9)</b></td><td>[EMPTY_CELL]</td><td><b>14.26%</b></td><td><b>33.24%</b></td><td><b>71.65%</b></td><td><b>46.25%</b></td></tr><tr><td><b>Back pain<sup>iv</sup></b></td><td><b>53.8 (17.3)</b></td><td>[EMPTY_CELL]</td><td><b>10.49%</b></td><td><b>26.17%</b></td><td><b>61.22%</b></td><td><b>43.11%</b></td></tr><tr><td><b>Heart problems<sup>iv</sup></b></td><td><b>66.1 (16.3)</b></td><td>[EMPTY_CELL]</td><td><b>20.65%</b></td><td><b>38.94%</b></td><td><b>62.83%</b></td><td><b>46.45%</b></td></tr><tr><td><b>Osteoporosis<sup>iv</sup></b></td><td><b>66.3 (12.2)</b></td><td>[EMPTY_CELL]</td><td><b>19.70%</b></td><td><b>37.44%</b></td><td><b>75.62%</b></td><td><b>55.28%</b></td></tr><tr><td><b>Anxiety/depression<sup>4v</sup></b></td><td><b>53.2 (17.3)</b></td><td>[EMPTY_CELL]</td><td><b>10.62%</b></td><td><b>28.39%</b></td><td><b>64.56%</b></td><td><b>70.98%</b></td></tr><tr><td><b>Respiratory Tract Diseases<sup>iv</sup></b></td><td><b>54.8 (19.7)</b></td><td>[EMPTY_CELL]</td><td><b>9.81%</b></td><td><b>31.31%</b></td><td><b>58.21%</b></td><td><b>38.86%</b></td></tr><tr><td><b>Digestive diseases<sup>iv</sup></b></td><td><b>52.0 (17.7)</b></td><td>[EMPTY_CELL]</td><td><b>8.40%</b></td><td><b>23.62%</b></td><td><b>58.93%</b></td><td><b>43.69%</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Average Age(sd)</b>\", \"bbox\": [188, 4, 235, 22]}, {\"cell\": \"<b>Mobility</b>\", \"bbox\": [245, 4, 275, 13]}, {\"cell\": \"<b>Self-care</b>\", \"bbox\": [286, 4, 303, 22]}, {\"cell\": \"<b>Usual activities</b>\", \"bbox\": [325, 4, 357, 22]}, {\"cell\": \"<b>Pain/Discomfort</b>\", \"bbox\": [372, 4, 412, 22]}, {\"cell\": \"<b>Depression/Anxiety</b>\", \"bbox\": [428, 4, 472, 22]}, {\"cell\": \"<b>HIV+<sup>i</sup></b>\", \"bbox\": [0, 25, 21, 36]}, {\"cell\": \"<b>40.4(8.1)</b>\", \"bbox\": [196, 26, 227, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 26, 274, 36]}, {\"cell\": \"<b>4.60%</b>\", \"bbox\": [283, 26, 306, 36]}, {\"cell\": \"<b>27.94%</b>\", \"bbox\": [327, 26, 355, 36]}, {\"cell\": \"<b>44.75%</b>\", \"bbox\": [378, 26, 405, 36]}, {\"cell\": \"<b>51.74%</b>\", \"bbox\": [436, 26, 464, 36]}, {\"cell\": \" HIV-asymptomatic\", \"bbox\": [15, 39, 75, 49]}, {\"cell\": \"39.5 (7.8)\", \"bbox\": [196, 39, 227, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 39, 272, 49]}, {\"cell\": \"4.69%\", \"bbox\": [284, 39, 305, 49]}, {\"cell\": \"23.44%\", \"bbox\": [329, 39, 353, 49]}, {\"cell\": \"42.19%\", \"bbox\": [380, 39, 404, 49]}, {\"cell\": \"49.41%\", \"bbox\": [438, 39, 462, 49]}, {\"cell\": \" HIV-symptomatic\", \"bbox\": [15, 53, 72, 62]}, {\"cell\": \"40.6 (8.1)\", \"bbox\": [196, 53, 227, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 53, 272, 62]}, {\"cell\": \"5.07%\", \"bbox\": [284, 53, 305, 62]}, {\"cell\": \"28.26%\", \"bbox\": [329, 53, 353, 62]}, {\"cell\": \"41.61%\", \"bbox\": [380, 53, 404, 62]}, {\"cell\": \"46.76%\", \"bbox\": [438, 53, 462, 62]}, {\"cell\": \" AIDS\", \"bbox\": [15, 66, 33, 75]}, {\"cell\": \"41.8 (8.7)\", \"bbox\": [196, 66, 227, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 66, 272, 75]}, {\"cell\": \"4.03%\", \"bbox\": [284, 66, 305, 75]}, {\"cell\": \"35.33%\", \"bbox\": [329, 66, 353, 75]}, {\"cell\": \"52.00%\", \"bbox\": [380, 66, 404, 75]}, {\"cell\": \"60.26%\", \"bbox\": [438, 66, 462, 75]}, {\"cell\": \"<b>Alzheimer disease<sup>ii</sup></b>\", \"bbox\": [1, 77, 68, 88]}, {\"cell\": \"<b>75.5 (8.5)</b>\", \"bbox\": [194, 79, 228, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 79, 274, 88]}, {\"cell\": \"<b>84.49%</b>\", \"bbox\": [281, 79, 309, 88]}, {\"cell\": \"<b>95.10%</b>\", \"bbox\": [327, 79, 355, 88]}, {\"cell\": \"<b>68.57%</b>\", \"bbox\": [378, 79, 405, 88]}, {\"cell\": \"<b>73.47%</b>\", \"bbox\": [436, 79, 464, 88]}, {\"cell\": \" AD mild\", \"bbox\": [15, 92, 44, 102]}, {\"cell\": \"73.7 (7.1)\", \"bbox\": [196, 92, 227, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 92, 272, 102]}, {\"cell\": \"63.27%\", \"bbox\": [283, 92, 307, 102]}, {\"cell\": \"93.88%\", \"bbox\": [329, 92, 353, 102]}, {\"cell\": \"65.31%\", \"bbox\": [380, 92, 404, 102]}, {\"cell\": \"81.63%\", \"bbox\": [438, 92, 462, 102]}, {\"cell\": \" AD medium\", \"bbox\": [15, 105, 57, 115]}, {\"cell\": \"75.4 (8.6)\", \"bbox\": [196, 105, 227, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 105, 272, 115]}, {\"cell\": \"90.11%\", \"bbox\": [283, 105, 307, 115]}, {\"cell\": \"95.60%\", \"bbox\": [329, 105, 353, 115]}, {\"cell\": \"68.13%\", \"bbox\": [380, 105, 404, 115]}, {\"cell\": \"73.63%\", \"bbox\": [438, 105, 462, 115]}, {\"cell\": \" AD severe\", \"bbox\": [15, 119, 50, 128]}, {\"cell\": \"76.6 (9.3)\", \"bbox\": [196, 119, 227, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 119, 272, 128]}, {\"cell\": \"96.91%\", \"bbox\": [283, 119, 307, 128]}, {\"cell\": \"98.97%\", \"bbox\": [329, 119, 353, 128]}, {\"cell\": \"71.13%\", \"bbox\": [380, 119, 404, 128]}, {\"cell\": \"69.07%\", \"bbox\": [438, 119, 462, 128]}, {\"cell\": \"<b>Stroke<sup>iii</sup></b>\", \"bbox\": [0, 130, 29, 141]}, {\"cell\": \"<b>66.9 (12.2)</b>\", \"bbox\": [192, 132, 231, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 132, 274, 141]}, {\"cell\": \"<b>48.39%</b>\", \"bbox\": [281, 132, 309, 141]}, {\"cell\": \"<b>64.24%</b>\", \"bbox\": [327, 132, 355, 141]}, {\"cell\": \"<b>71.00%</b>\", \"bbox\": [378, 132, 405, 141]}, {\"cell\": \"<b>65.90%</b>\", \"bbox\": [436, 132, 464, 141]}, {\"cell\": \" Stroke survivor first year\", \"bbox\": [15, 145, 94, 154]}, {\"cell\": \"67.2 (11.6)\", \"bbox\": [194, 145, 229, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 145, 272, 154]}, {\"cell\": \"46.24%\", \"bbox\": [283, 145, 307, 154]}, {\"cell\": \"64.89%\", \"bbox\": [329, 145, 353, 154]}, {\"cell\": \"68.13%\", \"bbox\": [380, 145, 404, 154]}, {\"cell\": \"64.13%\", \"bbox\": [438, 145, 462, 154]}, {\"cell\": \" Stroke survivor second year\", \"bbox\": [15, 158, 106, 168]}, {\"cell\": \"67.1 (12.5)\", \"bbox\": [194, 158, 229, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 158, 272, 168]}, {\"cell\": \"49.49%\", \"bbox\": [283, 158, 307, 168]}, {\"cell\": \"64.88%\", \"bbox\": [329, 158, 353, 168]}, {\"cell\": \"72.64%\", \"bbox\": [380, 158, 404, 168]}, {\"cell\": \"66.33%\", \"bbox\": [438, 158, 462, 168]}, {\"cell\": \" Stroke survivor three or more years\", \"bbox\": [15, 171, 131, 181]}, {\"cell\": \"66.4 (12.1)\", \"bbox\": [194, 171, 229, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [248, 171, 272, 181]}, {\"cell\": \"48.28%\", \"bbox\": [283, 171, 307, 181]}, {\"cell\": \"6.45%\", \"bbox\": [331, 171, 351, 181]}, {\"cell\": \"70.55%\", \"bbox\": [380, 171, 404, 181]}, {\"cell\": \"66.43%\", \"bbox\": [438, 171, 462, 181]}, {\"cell\": \"<b>Diabetes Mellitus<sup>iv</sup></b>\", \"bbox\": [1, 183, 67, 194]}, {\"cell\": \"<b>63.8 (13.8)</b>\", \"bbox\": [192, 185, 231, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 185, 274, 194]}, {\"cell\": \"<b>15.70%</b>\", \"bbox\": [281, 185, 309, 194]}, {\"cell\": \"<b>35.64%</b>\", \"bbox\": [327, 185, 355, 194]}, {\"cell\": \"<b>62.98%</b>\", \"bbox\": [378, 185, 405, 194]}, {\"cell\": \"<b>43.06%</b>\", \"bbox\": [436, 185, 464, 194]}, {\"cell\": \"<b>Rheumatism; arthritis; degenerative osteoarthritis<sup>iv</sup></b>\", \"bbox\": [1, 198, 127, 216]}, {\"cell\": \"<b>62.4 (14.9)</b>\", \"bbox\": [192, 198, 231, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 198, 274, 207]}, {\"cell\": \"<b>14.26%</b>\", \"bbox\": [281, 198, 309, 207]}, {\"cell\": \"<b>33.24%</b>\", \"bbox\": [327, 198, 355, 207]}, {\"cell\": \"<b>71.65%</b>\", \"bbox\": [378, 198, 405, 207]}, {\"cell\": \"<b>46.25%</b>\", \"bbox\": [436, 198, 464, 207]}, {\"cell\": \"<b>Back pain<sup>iv</sup></b>\", \"bbox\": [1, 218, 41, 229]}, {\"cell\": \"<b>53.8 (17.3)</b>\", \"bbox\": [192, 220, 231, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 220, 274, 229]}, {\"cell\": \"<b>10.49%</b>\", \"bbox\": [281, 220, 309, 229]}, {\"cell\": \"<b>26.17%</b>\", \"bbox\": [327, 220, 355, 229]}, {\"cell\": \"<b>61.22%</b>\", \"bbox\": [378, 220, 405, 229]}, {\"cell\": \"<b>43.11%</b>\", \"bbox\": [436, 220, 464, 229]}, {\"cell\": \"<b>Heart problems<sup>iv</sup></b>\", \"bbox\": [1, 231, 61, 243]}, {\"cell\": \"<b>66.1 (16.3)</b>\", \"bbox\": [192, 233, 231, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 233, 274, 243]}, {\"cell\": \"<b>20.65%</b>\", \"bbox\": [281, 233, 309, 243]}, {\"cell\": \"<b>38.94%</b>\", \"bbox\": [327, 233, 355, 243]}, {\"cell\": \"<b>62.83%</b>\", \"bbox\": [378, 233, 405, 243]}, {\"cell\": \"<b>46.45%</b>\", \"bbox\": [436, 233, 464, 243]}, {\"cell\": \"<b>Osteoporosis<sup>iv</sup></b>\", \"bbox\": [1, 245, 52, 256]}, {\"cell\": \"<b>66.3 (12.2)</b>\", \"bbox\": [192, 246, 231, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 246, 274, 256]}, {\"cell\": \"<b>19.70%</b>\", \"bbox\": [281, 246, 309, 256]}, {\"cell\": \"<b>37.44%</b>\", \"bbox\": [327, 246, 355, 256]}, {\"cell\": \"<b>75.62%</b>\", \"bbox\": [378, 246, 405, 256]}, {\"cell\": \"<b>55.28%</b>\", \"bbox\": [436, 246, 464, 256]}, {\"cell\": \"<b>Anxiety/depression<sup>4v</sup></b>\", \"bbox\": [1, 258, 75, 269]}, {\"cell\": \"<b>53.2 (17.3)</b>\", \"bbox\": [192, 260, 231, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 260, 274, 269]}, {\"cell\": \"<b>10.62%</b>\", \"bbox\": [281, 260, 309, 269]}, {\"cell\": \"<b>28.39%</b>\", \"bbox\": [327, 260, 355, 269]}, {\"cell\": \"<b>64.56%</b>\", \"bbox\": [378, 260, 405, 269]}, {\"cell\": \"<b>70.98%</b>\", \"bbox\": [436, 260, 464, 269]}, {\"cell\": \"<b>Respiratory Tract Diseases<sup>iv</sup></b>\", \"bbox\": [1, 271, 98, 282]}, {\"cell\": \"<b>54.8 (19.7)</b>\", \"bbox\": [192, 273, 231, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 273, 274, 282]}, {\"cell\": \"<b>9.81%</b>\", \"bbox\": [283, 273, 306, 282]}, {\"cell\": \"<b>31.31%</b>\", \"bbox\": [327, 273, 355, 282]}, {\"cell\": \"<b>58.21%</b>\", \"bbox\": [378, 273, 405, 282]}, {\"cell\": \"<b>38.86%</b>\", \"bbox\": [436, 273, 464, 282]}, {\"cell\": \"<b>Digestive diseases<sup>iv</sup></b>\", \"bbox\": [1, 284, 70, 295]}, {\"cell\": \"<b>52.0 (17.7)</b>\", \"bbox\": [192, 286, 231, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 286, 274, 295]}, {\"cell\": \"<b>8.40%</b>\", \"bbox\": [283, 286, 306, 295]}, {\"cell\": \"<b>23.62%</b>\", \"bbox\": [327, 286, 355, 295]}, {\"cell\": \"<b>58.93%</b>\", \"bbox\": [378, 286, 405, 295]}, {\"cell\": \"<b>43.69%</b>\", \"bbox\": [436, 286, 464, 295]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3091580_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}812{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>CG name</b></td><td><b>Function of encoded protein</b></td><td><b>Human Ortholog</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>CG16724</td><td>RNA splicing</td><td>—</td></tr><tr><td>[EMPTY_CELL]</td><td>CG43770</td><td>RNA splicing</td><td>—</td></tr><tr><td>[EMPTY_CELL]</td><td>CG3496</td><td>RNA splicing</td><td><i>KIAA1429</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG8781</td><td>RNA splicing</td><td><i>RBM8A</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG6502</td><td>Histone methylation</td><td><i>EZH1/EZH2</i></td></tr><tr><td colspan=\\\"3\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>CG10325</td><td>Homeobox transcription factor</td><td>—</td></tr><tr><td>[EMPTY_CELL]</td><td>CG10034</td><td>Maf transcription factor</td><td><i>MAF</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG1429</td><td>Transcription factor</td><td><i>MEF2D</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG8573</td><td>Transcription factor and Insulator binding</td><td><i>ZNF726</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG12238</td><td>Component of ATP-dependent chromatin remodeling complexes</td><td><i>PHF10/BAF45A</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG6474</td><td>Component of the Transcription factor II D complex</td><td><i>TAF9B</i></td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>CG6637</td><td>Component of endosomal sorting complex</td><td><i>SNF8</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG14750</td><td>Component of endosomal sorting complex</td><td><i>VPS25</i></td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>CG9375</td><td>Small GTPase</td><td><i>RAS</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG9635</td><td>Rho-type guanine nucleotide exchange factor</td><td><i>PDZ-RHOGEF</i></td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>CG9739</td><td>Wnt protein binding</td><td><i>FZD1-10</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG4698</td><td>Wnt receptor signaling</td><td><i>WNT4</i></td></tr><tr><td colspan=\\\"4\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>CG14884</td><td>Component of COP9 signalosomes</td><td><i>COPS5</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG12165</td><td>Component of chromosome passenger complex</td><td><i>INCENP</i></td></tr><tr><td>[EMPTY_CELL]</td><td>CG11495</td><td>Acyltransferase enzyme</td><td><i>-</i></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [7, 4, 29, 15]}, {\"cell\": \"<b>CG name</b>\", \"bbox\": [83, 4, 119, 15]}, {\"cell\": \"<b>Function of encoded protein</b>\", \"bbox\": [226, 4, 330, 15]}, {\"cell\": \"<b>Human Ortholog</b>\", \"bbox\": [434, 4, 496, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 18, 81, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 28, 12, 38]}, {\"cell\": \"CG16724\", \"bbox\": [79, 28, 115, 38]}, {\"cell\": \"RNA splicing\", \"bbox\": [161, 28, 209, 38]}, {\"cell\": \"—\", \"bbox\": [434, 32, 444, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 38, 12, 48]}, {\"cell\": \"CG43770\", \"bbox\": [79, 38, 115, 48]}, {\"cell\": \"RNA splicing\", \"bbox\": [161, 38, 209, 48]}, {\"cell\": \"—\", \"bbox\": [434, 42, 444, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 47, 11, 58]}, {\"cell\": \"CG3496\", \"bbox\": [79, 47, 111, 58]}, {\"cell\": \"RNA splicing\", \"bbox\": [161, 47, 209, 58]}, {\"cell\": \"<i>KIAA1429</i>\", \"bbox\": [434, 47, 471, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 57, 13, 68]}, {\"cell\": \"CG8781\", \"bbox\": [79, 57, 111, 68]}, {\"cell\": \"RNA splicing\", \"bbox\": [161, 57, 209, 68]}, {\"cell\": \"<i>RBM8A</i>\", \"bbox\": [434, 57, 462, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 67, 14, 78]}, {\"cell\": \"CG6502\", \"bbox\": [79, 67, 111, 78]}, {\"cell\": \"Histone methylation\", \"bbox\": [161, 67, 234, 78]}, {\"cell\": \"<i>EZH1/EZH2</i>\", \"bbox\": [434, 67, 477, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 77, 119, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 87, 24, 98]}, {\"cell\": \"CG10325\", \"bbox\": [79, 87, 115, 98]}, {\"cell\": \"Homeobox transcription factor\", \"bbox\": [161, 87, 271, 98]}, {\"cell\": \"—\", \"bbox\": [434, 91, 444, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 97, 7, 108]}, {\"cell\": \"CG10034\", \"bbox\": [79, 97, 115, 108]}, {\"cell\": \"Maf transcription factor\", \"bbox\": [161, 97, 245, 108]}, {\"cell\": \"<i>MAF</i>\", \"bbox\": [434, 97, 453, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 107, 20, 118]}, {\"cell\": \"CG1429\", \"bbox\": [79, 107, 111, 118]}, {\"cell\": \"Transcription factor\", \"bbox\": [161, 107, 231, 118]}, {\"cell\": \"<i>MEF2D</i>\", \"bbox\": [434, 107, 462, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 117, 27, 128]}, {\"cell\": \"CG8573\", \"bbox\": [79, 117, 111, 128]}, {\"cell\": \"Transcription factor and Insulator binding\", \"bbox\": [161, 117, 309, 128]}, {\"cell\": \"<i>ZNF726</i>\", \"bbox\": [434, 117, 464, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 127, 19, 138]}, {\"cell\": \"CG12238\", \"bbox\": [79, 127, 115, 138]}, {\"cell\": \"Component of ATP-dependent chromatin remodeling complexes\", \"bbox\": [161, 127, 395, 138]}, {\"cell\": \"<i>PHF10/BAF45A</i>\", \"bbox\": [434, 127, 491, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 137, 19, 148]}, {\"cell\": \"CG6474\", \"bbox\": [79, 137, 111, 148]}, {\"cell\": \"Component of the Transcription factor II D complex\", \"bbox\": [161, 137, 347, 148]}, {\"cell\": \"<i>TAF9B</i>\", \"bbox\": [434, 137, 459, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 147, 105, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 157, 12, 168]}, {\"cell\": \"CG6637\", \"bbox\": [79, 157, 111, 168]}, {\"cell\": \"Component of endosomal sorting complex\", \"bbox\": [161, 157, 316, 168]}, {\"cell\": \"<i>SNF8</i>\", \"bbox\": [434, 157, 455, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 167, 23, 177]}, {\"cell\": \"CG14750\", \"bbox\": [79, 167, 115, 177]}, {\"cell\": \"Component of endosomal sorting complex\", \"bbox\": [161, 167, 316, 177]}, {\"cell\": \"<i>VPS25</i>\", \"bbox\": [434, 167, 458, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 177, 205, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 187, 27, 197]}, {\"cell\": \"CG9375\", \"bbox\": [79, 187, 111, 197]}, {\"cell\": \"Small GTPase\", \"bbox\": [161, 187, 212, 197]}, {\"cell\": \"<i>RAS</i>\", \"bbox\": [434, 187, 450, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 197, 34, 207]}, {\"cell\": \"CG9635\", \"bbox\": [79, 197, 111, 207]}, {\"cell\": \"Rho-type guanine nucleotide exchange factor\", \"bbox\": [161, 197, 325, 207]}, {\"cell\": \"<i>PDZ-RHOGEF</i>\", \"bbox\": [434, 197, 485, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 207, 101, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 217, 13, 227]}, {\"cell\": \"CG9739\", \"bbox\": [79, 217, 111, 227]}, {\"cell\": \"Wnt protein binding\", \"bbox\": [161, 217, 235, 227]}, {\"cell\": \"<i>FZD1-10</i>\", \"bbox\": [434, 217, 466, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 227, 20, 237]}, {\"cell\": \"CG4698\", \"bbox\": [79, 227, 111, 237]}, {\"cell\": \"Wnt receptor signaling\", \"bbox\": [161, 227, 244, 237]}, {\"cell\": \"<i>WNT4</i>\", \"bbox\": [434, 227, 458, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 237, 28, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 247, 23, 257]}, {\"cell\": \"CG14884\", \"bbox\": [79, 247, 115, 257]}, {\"cell\": \"Component of COP9 signalosomes\", \"bbox\": [161, 247, 289, 257]}, {\"cell\": \"<i>COPS5</i>\", \"bbox\": [434, 247, 461, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 257, 26, 267]}, {\"cell\": \"CG12165\", \"bbox\": [79, 257, 115, 267]}, {\"cell\": \"Component of chromosome passenger complex\", \"bbox\": [161, 257, 335, 267]}, {\"cell\": \"<i>INCENP</i>\", \"bbox\": [434, 257, 465, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 267, 17, 277]}, {\"cell\": \"CG11495\", \"bbox\": [79, 267, 115, 277]}, {\"cell\": \"Acyltransferase enzyme\", \"bbox\": [161, 267, 246, 277]}, {\"cell\": \"<i>-</i>\", \"bbox\": [434, 267, 438, 277]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6027894_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}813{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Name</b></td><td rowspan=\\\"2\\\"><b>GeneBank Accession Number</b></td><td rowspan=\\\"2\\\"><b>cDNA Length (bp)</b></td><td colspan=\\\"2\\\"><b>UTR</b></td><td rowspan=\\\"2\\\"><b>Total Score</b></td><td rowspan=\\\"2\\\"><b>Coverage %</b></td><td rowspan=\\\"2\\\"><b>Identity %</b></td></tr><tr><td><b>5′ bp</b></td><td><b>3′ bp</b></td></tr></thead><tbody><tr><td><b>Arabian Camel</b><i>(Camelus dromedarius)</i></td><td>HQ214118</td><td>[EMPTY_CELL]</td><td>136</td><td>349</td><td>2529</td><td>100</td><td>100</td></tr><tr><td><b>Human</b><i>(Homo sapiens)</i></td><td>NM_002155</td><td>[EMPTY_CELL]</td><td>413</td><td>319</td><td>2523</td><td>81</td><td>89</td></tr><tr><td><b>Sumatran orangutan</b><i>(Pongo abelii)</i></td><td>XM_002809884</td><td>[EMPTY_CELL]</td><td>133</td><td>334</td><td>2529</td><td>81</td><td>89</td></tr><tr><td><b>Horse</b><i>(Equus caballus)</i></td><td>XM_001488139</td><td>[EMPTY_CELL]</td><td>130</td><td>62</td><td>2682</td><td>86</td><td>89</td></tr><tr><td><b>Cow</b><i>(Bos Taurus)</i></td><td>XM_589747</td><td>[EMPTY_CELL]</td><td>193</td><td>85</td><td>2915</td><td>88</td><td>91</td></tr><tr><td><b>Pig</b><i>(Sus scrofa)</i></td><td>NM_001123127</td><td>[EMPTY_CELL]</td><td>105</td><td>481</td><td>3025</td><td>93</td><td>91</td></tr><tr><td><b>Mouse</b><i>(Mus musculus)</i></td><td>M32218</td><td>[EMPTY_CELL]</td><td>173</td><td>371</td><td>1518</td><td>75</td><td>77</td></tr><tr><td><b>Dog</b><i>(Canis lupus familiaris)</i></td><td>NM_001003067</td><td>[EMPTY_CELL]</td><td>86</td><td>284</td><td>1906</td><td>79</td><td>80</td></tr><tr><td><b>Giant panda</b><i>(Ailuropoda melanoleuca)</i></td><td>XM_002931069</td><td>[EMPTY_CELL]</td><td>121</td><td>309</td><td>1480</td><td>79</td><td>81</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Name</b>\", \"bbox\": [46, 13, 73, 26]}, {\"cell\": \"<b>GeneBank Accession Number</b>\", \"bbox\": [120, 5, 202, 34]}, {\"cell\": \"<b>cDNA Length (bp)</b>\", \"bbox\": [210, 5, 263, 34]}, {\"cell\": \"<b>UTR</b>\", \"bbox\": [290, 5, 313, 18]}, {\"cell\": \"<b>Total Score</b>\", \"bbox\": [342, 5, 368, 34]}, {\"cell\": \"<b>Coverage %</b>\", \"bbox\": [378, 5, 421, 34]}, {\"cell\": \"<b>Identity %</b>\", \"bbox\": [432, 5, 468, 34]}, {\"cell\": \"<b>5′ bp</b>\", \"bbox\": [273, 21, 297, 34]}, {\"cell\": \"<b>3′ bp</b>\", \"bbox\": [309, 21, 332, 34]}, {\"cell\": \"<b>Arabian Camel</b><i>(Camelus dromedarius)</i>\", \"bbox\": [11, 37, 108, 66]}, {\"cell\": \"HQ214118\", \"bbox\": [138, 45, 185, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 45, 247, 58]}, {\"cell\": \"136\", \"bbox\": [276, 45, 293, 58]}, {\"cell\": \"349\", \"bbox\": [312, 45, 329, 58]}, {\"cell\": \"2529\", \"bbox\": [344, 45, 366, 58]}, {\"cell\": \"100\", \"bbox\": [391, 45, 408, 58]}, {\"cell\": \"100\", \"bbox\": [442, 45, 459, 58]}, {\"cell\": \"<b>Human</b><i>(Homo sapiens)</i>\", \"bbox\": [26, 69, 92, 97]}, {\"cell\": \"NM_002155\", \"bbox\": [135, 77, 188, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 77, 247, 90]}, {\"cell\": \"413\", \"bbox\": [276, 77, 293, 90]}, {\"cell\": \"319\", \"bbox\": [312, 77, 329, 90]}, {\"cell\": \"2523\", \"bbox\": [344, 77, 366, 90]}, {\"cell\": \"81\", \"bbox\": [393, 77, 405, 90]}, {\"cell\": \"89\", \"bbox\": [444, 77, 456, 90]}, {\"cell\": \"<b>Sumatran orangutan</b><i>(Pongo abelii)</i>\", \"bbox\": [13, 100, 105, 129]}, {\"cell\": \"XM_002809884\", \"bbox\": [127, 108, 195, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 108, 247, 121]}, {\"cell\": \"133\", \"bbox\": [276, 108, 293, 121]}, {\"cell\": \"334\", \"bbox\": [312, 108, 329, 121]}, {\"cell\": \"2529\", \"bbox\": [344, 108, 366, 121]}, {\"cell\": \"81\", \"bbox\": [393, 108, 405, 121]}, {\"cell\": \"89\", \"bbox\": [444, 108, 456, 121]}, {\"cell\": \"<b>Horse</b><i>(Equus caballus)</i>\", \"bbox\": [24, 132, 94, 160]}, {\"cell\": \"XM_001488139\", \"bbox\": [127, 139, 195, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 139, 247, 153]}, {\"cell\": \"130\", \"bbox\": [276, 139, 293, 153]}, {\"cell\": \"62\", \"bbox\": [314, 139, 326, 153]}, {\"cell\": \"2682\", \"bbox\": [344, 139, 366, 153]}, {\"cell\": \"86\", \"bbox\": [393, 139, 405, 153]}, {\"cell\": \"89\", \"bbox\": [444, 139, 456, 153]}, {\"cell\": \"<b>Cow</b><i>(Bos Taurus)</i>\", \"bbox\": [32, 163, 86, 191]}, {\"cell\": \"XM_589747\", \"bbox\": [135, 171, 188, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 171, 247, 184]}, {\"cell\": \"193\", \"bbox\": [276, 171, 293, 184]}, {\"cell\": \"85\", \"bbox\": [314, 171, 326, 184]}, {\"cell\": \"2915\", \"bbox\": [344, 171, 366, 184]}, {\"cell\": \"88\", \"bbox\": [393, 171, 405, 184]}, {\"cell\": \"91\", \"bbox\": [444, 171, 456, 184]}, {\"cell\": \"<b>Pig</b><i>(Sus scrofa)</i>\", \"bbox\": [34, 194, 84, 223]}, {\"cell\": \"NM_001123127\", \"bbox\": [127, 202, 195, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 202, 247, 215]}, {\"cell\": \"105\", \"bbox\": [276, 202, 293, 215]}, {\"cell\": \"481\", \"bbox\": [312, 202, 329, 215]}, {\"cell\": \"3025\", \"bbox\": [344, 202, 366, 215]}, {\"cell\": \"93\", \"bbox\": [393, 202, 405, 215]}, {\"cell\": \"91\", \"bbox\": [444, 202, 456, 215]}, {\"cell\": \"<b>Mouse</b><i>(Mus musculus)</i>\", \"bbox\": [26, 226, 92, 254]}, {\"cell\": \"M32218\", \"bbox\": [143, 234, 179, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 234, 247, 247]}, {\"cell\": \"173\", \"bbox\": [276, 234, 293, 247]}, {\"cell\": \"371\", \"bbox\": [312, 234, 329, 247]}, {\"cell\": \"1518\", \"bbox\": [344, 234, 366, 247]}, {\"cell\": \"75\", \"bbox\": [393, 234, 405, 247]}, {\"cell\": \"77\", \"bbox\": [444, 234, 456, 247]}, {\"cell\": \"<b>Dog</b><i>(Canis lupus familiaris)</i>\", \"bbox\": [10, 257, 108, 286]}, {\"cell\": \"NM_001003067\", \"bbox\": [127, 265, 195, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 265, 247, 278]}, {\"cell\": \"86\", \"bbox\": [279, 265, 291, 278]}, {\"cell\": \"284\", \"bbox\": [312, 265, 329, 278]}, {\"cell\": \"1906\", \"bbox\": [344, 265, 366, 278]}, {\"cell\": \"79\", \"bbox\": [393, 265, 405, 278]}, {\"cell\": \"80\", \"bbox\": [444, 265, 456, 278]}, {\"cell\": \"<b>Giant panda</b><i>(Ailuropoda melanoleuca)</i>\", \"bbox\": [5, 289, 113, 317]}, {\"cell\": \"XM_002931069\", \"bbox\": [127, 296, 195, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 296, 247, 310]}, {\"cell\": \"121\", \"bbox\": [276, 296, 293, 310]}, {\"cell\": \"309\", \"bbox\": [312, 296, 329, 310]}, {\"cell\": \"1480\", \"bbox\": [344, 296, 366, 310]}, {\"cell\": \"79\", \"bbox\": [393, 296, 405, 310]}, {\"cell\": \"81\", \"bbox\": [444, 296, 456, 310]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3155347_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}814{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Dioxins</b></td><td><b>Dioxin-like PCBs</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>non-<i>ortho</i>-PCBs</td></tr><tr><td>[EMPTY_CELL]</td><td>TeCB-77</td></tr><tr><td>[EMPTY_CELL]</td><td>TeCB-81</td></tr><tr><td>[EMPTY_CELL]</td><td>PeCB-126</td></tr><tr><td>[EMPTY_CELL]</td><td>HxCB-169</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>mono-<i>ortho</i>-PCBs</td></tr><tr><td>[EMPTY_CELL]</td><td>PeCB-105</td></tr><tr><td>[EMPTY_CELL]</td><td>PeCB-114</td></tr><tr><td>[EMPTY_CELL]</td><td>PeCB-118</td></tr><tr><td>[EMPTY_CELL]</td><td>PeCB-123</td></tr><tr><td>[EMPTY_CELL]</td><td>HxCB-156</td></tr><tr><td>[EMPTY_CELL]</td><td>HxCB-157</td></tr><tr><td>[EMPTY_CELL]</td><td>HxCB-167</td></tr><tr><td>[EMPTY_CELL]</td><td>HpCB-189</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Dioxins</b>\", \"bbox\": [7, 6, 44, 16]}, {\"cell\": \"<b>Dioxin-like PCBs</b>\", \"bbox\": [203, 6, 286, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 26, 178, 38]}, {\"cell\": \"non-<i>ortho</i>-PCBs\", \"bbox\": [203, 26, 278, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 41, 72, 53]}, {\"cell\": \"TeCB-77\", \"bbox\": [203, 41, 246, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 56, 85, 68]}, {\"cell\": \"TeCB-81\", \"bbox\": [203, 56, 246, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 71, 96, 83]}, {\"cell\": \"PeCB-126\", \"bbox\": [203, 71, 251, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 86, 96, 98]}, {\"cell\": \"HxCB-169\", \"bbox\": [203, 86, 254, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 101, 96, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 116, 104, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 131, 40, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 146, 161, 158]}, {\"cell\": \"mono-<i>ortho</i>-PCBs\", \"bbox\": [203, 146, 287, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 161, 71, 173]}, {\"cell\": \"PeCB-105\", \"bbox\": [203, 161, 251, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 176, 83, 188]}, {\"cell\": \"PeCB-114\", \"bbox\": [203, 176, 251, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 191, 83, 203]}, {\"cell\": \"PeCB-118\", \"bbox\": [203, 191, 251, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 206, 94, 218]}, {\"cell\": \"PeCB-123\", \"bbox\": [203, 206, 251, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 221, 94, 233]}, {\"cell\": \"HxCB-156\", \"bbox\": [203, 221, 254, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 236, 94, 248]}, {\"cell\": \"HxCB-157\", \"bbox\": [203, 236, 254, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 251, 94, 263]}, {\"cell\": \"HxCB-167\", \"bbox\": [203, 251, 254, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 266, 102, 278]}, {\"cell\": \"HpCB-189\", \"bbox\": [203, 266, 254, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 281, 102, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 296, 38, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3863880_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}815{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Trait</b></td><td colspan=\\\"2\\\"><b>Normal growth</b></td><td colspan=\\\"2\\\"><b>Drought stress</b></td><td colspan=\\\"2\\\"><b>Relative value b</b></td></tr><tr><td><b>ZS97</b></td><td><b>IRAT109</b></td><td><b>ZS97</b></td><td><b>IRAT109</b></td><td><b>ZS97</b></td><td><b>IRAT109</b></td></tr></thead><tbody><tr><td>PH</td><td>[EMPTY_CELL]</td><td>103.95 ± 7.58 <sup>**</sup>a</td><td>80.81 ± 6.63</td><td>95.33 ± 6.63 <sup>**</sup></td><td>0.926</td><td>0.917</td></tr><tr><td>GY</td><td>[EMPTY_CELL]</td><td>38.45 ± 7.11</td><td>19.83 ± 7.4</td><td>25.55 ± 10.14 <sup>**</sup></td><td>0.475</td><td>0.662</td></tr><tr><td>TPP</td><td>[EMPTY_CELL]</td><td>24.85 ± 2.13</td><td>23.84 ± 8.12 <sup>**</sup></td><td>13.13 ± 5.94</td><td>0.753</td><td>0.526</td></tr><tr><td>SPP</td><td>[EMPTY_CELL]</td><td>114.18 ± 24.94 <sup>**</sup></td><td>75.44 ± 12.57 <sup>**</sup></td><td>72.14 ± 16.51</td><td>0.808</td><td>0.631</td></tr><tr><td>SF</td><td>[EMPTY_CELL]</td><td>0.67 ± 0.08</td><td>0.47 ± 0.10</td><td>0.46 ± 0.20</td><td>0.516</td><td>0.687</td></tr><tr><td>KGW</td><td>[EMPTY_CELL]</td><td>32.28 ± 2.14 <sup>**</sup></td><td>19.69 ± 2.27</td><td>31.26 ± 3.84 <sup>**</sup></td><td>0.838</td><td>0.969</td></tr><tr><td>RV</td><td>[EMPTY_CELL]</td><td>60.51 ± 10.27 <sup>**</sup></td><td>20.82 ± 8.43</td><td>31.56 ± 9.15 <sup>**</sup></td><td>0.568</td><td>0.522</td></tr><tr><td>RVT</td><td>[EMPTY_CELL]</td><td>2.43 ± 0.57 <sup>**</sup></td><td>0.86 ± 0.27</td><td>2.38 ± 0.50 <sup>**</sup></td><td>0.741</td><td>0.979</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Trait</b>\", \"bbox\": [12, 14, 36, 25]}, {\"cell\": \"<b>Normal growth</b>\", \"bbox\": [98, 7, 166, 18]}, {\"cell\": \"<b>Drought stress</b>\", \"bbox\": [270, 7, 335, 18]}, {\"cell\": \"<b>Relative value b</b>\", \"bbox\": [403, 5, 471, 18]}, {\"cell\": \"<b>ZS97</b>\", \"bbox\": [75, 22, 99, 33]}, {\"cell\": \"<b>IRAT109</b>\", \"bbox\": [152, 22, 194, 33]}, {\"cell\": \"<b>ZS97</b>\", \"bbox\": [248, 22, 272, 33]}, {\"cell\": \"<b>IRAT109</b>\", \"bbox\": [323, 22, 365, 33]}, {\"cell\": \"<b>ZS97</b>\", \"bbox\": [395, 22, 419, 33]}, {\"cell\": \"<b>IRAT109</b>\", \"bbox\": [437, 22, 479, 33]}, {\"cell\": \"PH\", \"bbox\": [16, 38, 31, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 38, 113, 49]}, {\"cell\": \"103.95 ± 7.58 <sup>**</sup>a\", \"bbox\": [136, 36, 211, 49]}, {\"cell\": \"80.81 ± 6.63\", \"bbox\": [234, 38, 286, 49]}, {\"cell\": \"95.33 ± 6.63 <sup>**</sup>\", \"bbox\": [312, 38, 377, 49]}, {\"cell\": \"0.926\", \"bbox\": [395, 38, 419, 49]}, {\"cell\": \"0.917\", \"bbox\": [446, 38, 470, 49]}, {\"cell\": \"GY\", \"bbox\": [16, 53, 32, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 53, 117, 64]}, {\"cell\": \"38.45 ± 7.11\", \"bbox\": [147, 53, 199, 64]}, {\"cell\": \"19.83 ± 7.4\", \"bbox\": [236, 53, 284, 64]}, {\"cell\": \"25.55 ± 10.14 <sup>**</sup>\", \"bbox\": [309, 53, 379, 64]}, {\"cell\": \"0.475\", \"bbox\": [395, 53, 419, 64]}, {\"cell\": \"0.662\", \"bbox\": [446, 53, 470, 64]}, {\"cell\": \"TPP\", \"bbox\": [14, 68, 33, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 68, 119, 79]}, {\"cell\": \"24.85 ± 2.13\", \"bbox\": [147, 68, 199, 79]}, {\"cell\": \"23.84 ± 8.12 <sup>**</sup>\", \"bbox\": [228, 68, 293, 79]}, {\"cell\": \"13.13 ± 5.94\", \"bbox\": [318, 68, 370, 79]}, {\"cell\": \"0.753\", \"bbox\": [395, 68, 419, 79]}, {\"cell\": \"0.526\", \"bbox\": [446, 68, 470, 79]}, {\"cell\": \"SPP\", \"bbox\": [14, 83, 33, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [58, 83, 116, 94]}, {\"cell\": \"114.18 ± 24.94 <sup>**</sup>\", \"bbox\": [136, 83, 211, 94]}, {\"cell\": \"75.44 ± 12.57 <sup>**</sup>\", \"bbox\": [225, 83, 295, 94]}, {\"cell\": \"72.14 ± 16.51\", \"bbox\": [316, 83, 373, 94]}, {\"cell\": \"0.808\", \"bbox\": [395, 83, 420, 94]}, {\"cell\": \"0.631\", \"bbox\": [446, 83, 471, 94]}, {\"cell\": \"SF\", \"bbox\": [17, 98, 30, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [57, 98, 117, 109]}, {\"cell\": \"0.67 ± 0.08\", \"bbox\": [149, 98, 197, 109]}, {\"cell\": \"0.47 ± 0.10\", \"bbox\": [236, 98, 284, 109]}, {\"cell\": \"0.46 ± 0.20\", \"bbox\": [320, 98, 368, 109]}, {\"cell\": \"0.516\", \"bbox\": [395, 98, 419, 109]}, {\"cell\": \"0.687\", \"bbox\": [446, 98, 471, 109]}, {\"cell\": \"KGW\", \"bbox\": [11, 113, 37, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 113, 113, 124]}, {\"cell\": \"32.28 ± 2.14 <sup>**</sup>\", \"bbox\": [141, 113, 206, 124]}, {\"cell\": \"19.69 ± 2.27\", \"bbox\": [234, 113, 286, 124]}, {\"cell\": \"31.26 ± 3.84 <sup>**</sup>\", \"bbox\": [312, 113, 377, 124]}, {\"cell\": \"0.838\", \"bbox\": [395, 113, 419, 124]}, {\"cell\": \"0.969\", \"bbox\": [446, 113, 470, 124]}, {\"cell\": \"RV\", \"bbox\": [16, 128, 32, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 128, 113, 139]}, {\"cell\": \"60.51 ± 10.27 <sup>**</sup>\", \"bbox\": [138, 128, 208, 139]}, {\"cell\": \"20.82 ± 8.43\", \"bbox\": [234, 128, 286, 139]}, {\"cell\": \"31.56 ± 9.15 <sup>**</sup>\", \"bbox\": [312, 128, 377, 139]}, {\"cell\": \"0.568\", \"bbox\": [395, 128, 419, 139]}, {\"cell\": \"0.522\", \"bbox\": [446, 128, 470, 139]}, {\"cell\": \"RVT\", \"bbox\": [13, 143, 35, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 143, 111, 154]}, {\"cell\": \"2.43 ± 0.57 <sup>**</sup>\", \"bbox\": [143, 143, 203, 154]}, {\"cell\": \"0.86 ± 0.27\", \"bbox\": [236, 143, 284, 154]}, {\"cell\": \"2.38 ± 0.50 <sup>**</sup>\", \"bbox\": [314, 143, 374, 154]}, {\"cell\": \"0.741\", \"bbox\": [395, 143, 419, 154]}, {\"cell\": \"0.979\", \"bbox\": [446, 143, 470, 154]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3634487_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}816{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Parameter</b></td><td rowspan=\\\"2\\\"><b>Unit</b></td><td colspan=\\\"2\\\"><b>Value</b></td></tr><tr><td><b>Cats</b></td><td><b>Dogs</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Number (percentage) of clinicians</td><td>980 of 1182 (82.9%)</td><td>946 of 1132 (83.6%)</td></tr><tr><td>[EMPTY_CELL]</td><td>U/kg BW/injection: mean ± SD</td><td>0.45 ± 0.31</td><td>0.60 ± 0.52</td></tr><tr><td>[EMPTY_CELL]</td><td>Median number of cats/dogs (IQR)</td><td>9 of 10 (6–10)</td><td>7 of 10 (3–9)</td></tr><tr><td>[EMPTY_CELL]</td><td>Median number of cats/dogs (IQR)</td><td>0 of 10 (0–0)</td><td>0 of 10 (0–0)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameter</b>\", \"bbox\": [58, 10, 97, 20]}, {\"cell\": \"<b>Unit</b>\", \"bbox\": [193, 10, 212, 20]}, {\"cell\": \"<b>Value</b>\", \"bbox\": [327, 5, 350, 14]}, {\"cell\": \"<b>Cats</b>\", \"bbox\": [287, 19, 305, 29]}, {\"cell\": \"<b>Dogs</b>\", \"bbox\": [371, 19, 393, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 33, 144, 53]}, {\"cell\": \"Number (percentage) of clinicians\", \"bbox\": [164, 33, 242, 53]}, {\"cell\": \"980 of 1182 (82.9%)\", \"bbox\": [261, 38, 330, 48]}, {\"cell\": \"946 of 1132 (83.6%)\", \"bbox\": [347, 38, 417, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [38, 58, 117, 68]}, {\"cell\": \"U/kg BW/injection: mean ± SD\", \"bbox\": [166, 53, 240, 73]}, {\"cell\": \"0.45 ± 0.31\", \"bbox\": [275, 58, 316, 68]}, {\"cell\": \"0.60 ± 0.52\", \"bbox\": [362, 58, 403, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 72, 145, 92]}, {\"cell\": \"Median number of cats/dogs (IQR)\", \"bbox\": [168, 72, 237, 92]}, {\"cell\": \"9 of 10 (6–10)\", \"bbox\": [271, 77, 320, 87]}, {\"cell\": \"7 of 10 (3–9)\", \"bbox\": [360, 77, 405, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [11, 92, 144, 112]}, {\"cell\": \"Median number of cats/dogs (IQR)\", \"bbox\": [168, 92, 237, 112]}, {\"cell\": \"0 of 10 (0–0)\", \"bbox\": [273, 97, 318, 107]}, {\"cell\": \"0 of 10 (0–0)\", \"bbox\": [360, 97, 405, 107]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5606606_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}817{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>%ID/g</b></td><td rowspan=\\\"2\\\"><b>ST/CTX</b></td><td rowspan=\\\"2\\\"><b>Animal</b></td></tr><tr><td><b>Cortex</b></td><td><b>Striatum</b></td><td><b>Whole brain</b></td></tr></thead><tbody><tr><td>(−)-[<sup>125</sup>I]IBVM (<b>1</b>) [36]</td><td>2.56 (240 min)</td><td>[EMPTY_CELL]</td><td>—</td><td>2.44</td><td>Mouse</td></tr><tr><td>(+)-[<sup>125</sup>I]IBVM (<b>1</b>) [36]</td><td>0.12 (240 min)</td><td>[EMPTY_CELL]</td><td>—</td><td>2.17</td><td>Mouse</td></tr><tr><td>(−)-[<sup>18</sup>F]FEOBV (<b>2</b>)<sup>∗</sup> [45]</td><td>4.5 (180 min)</td><td>[EMPTY_CELL]</td><td>—</td><td>1.74</td><td>Mouse</td></tr><tr><td>(+)-[<sup>18</sup>F]FEOBV (<b>2</b>)<sup>∗</sup> [45]</td><td>2.0 (180 min)</td><td>[EMPTY_CELL]</td><td>—</td><td>0.95</td><td>Mouse</td></tr><tr><td>(−)-[<sup>11</sup>C]MABV (<b>3</b>)</td><td>3.99 (45 min)</td><td>[EMPTY_CELL]</td><td>—</td><td>2.03</td><td>Mouse</td></tr><tr><td>(+)-[<sup>11</sup>C]MABV (<b>3</b>)</td><td>0.91 (45 min)</td><td>[EMPTY_CELL]</td><td>—</td><td>1.35</td><td>Mouse</td></tr><tr><td>(−)-[<sup>125</sup>I]MIBT (<b>8</b>) [52]</td><td>—</td><td>[EMPTY_CELL]</td><td>0.27 (60 min)</td><td>—</td><td>Rat</td></tr><tr><td>(+)-[<sup>125</sup>I]MIBT (<b>8</b>) [52]</td><td>—</td><td>[EMPTY_CELL]</td><td>0.83 (60 min)</td><td>—</td><td>Rat</td></tr><tr><td>(−)-[<sup>18</sup>F]FBT (<b>9</b>) [57]</td><td>1.18 (60 min)</td><td>[EMPTY_CELL]</td><td>1.05 (60 min)</td><td>0.87</td><td>Rat</td></tr><tr><td>(+)-[<sup>18</sup>F]FBT (<b>9</b>) [57]</td><td>0.58 (60 min)</td><td>[EMPTY_CELL]</td><td>0.59 (60 min)</td><td>1.28</td><td>Rat</td></tr><tr><td>(−)-[<sup>123</sup>I]OIDV (<b>13</b>) [63]</td><td>0.62 (30 min)</td><td>[EMPTY_CELL]</td><td>—</td><td>1.02</td><td>Rat</td></tr><tr><td>(+)-[<sup>123</sup>I]OIDV (<b>13</b>) [63]</td><td>0.46 (30 min)</td><td>[EMPTY_CELL]</td><td>—</td><td>0.98</td><td>Rat</td></tr><tr><td>(−)-[<sup>18</sup>F]FBBV (<b>18</b>) [77]</td><td>—</td><td>[EMPTY_CELL]</td><td>0.226 (30 min)</td><td>—</td><td>Rat</td></tr><tr><td>(+)-[<sup>18</sup>F]FBBV (<b>18</b>) [77]</td><td>—</td><td>[EMPTY_CELL]</td><td>0.071 (30 min)</td><td>—</td><td>Rat</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>%ID/g</b>\", \"bbox\": [239, 4, 264, 15]}, {\"cell\": \"<b>ST/CTX</b>\", \"bbox\": [403, 10, 435, 21]}, {\"cell\": \"<b>Animal</b>\", \"bbox\": [470, 10, 499, 21]}, {\"cell\": \"<b>Cortex</b>\", \"bbox\": [148, 17, 175, 28]}, {\"cell\": \"<b>Striatum</b>\", \"bbox\": [235, 17, 268, 28]}, {\"cell\": \"<b>Whole brain</b>\", \"bbox\": [317, 17, 365, 28]}, {\"cell\": \"(−)-[<sup>125</sup>I]IBVM (<b>1</b>) [36]\", \"bbox\": [2, 27, 91, 42]}, {\"cell\": \"2.56 (240 min)\", \"bbox\": [134, 30, 189, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 30, 279, 41]}, {\"cell\": \"—\", \"bbox\": [336, 30, 346, 41]}, {\"cell\": \"2.44\", \"bbox\": [411, 30, 428, 41]}, {\"cell\": \"Mouse\", \"bbox\": [471, 30, 497, 41]}, {\"cell\": \"(+)-[<sup>125</sup>I]IBVM (<b>1</b>) [36]\", \"bbox\": [2, 38, 91, 51]}, {\"cell\": \"0.12 (240 min)\", \"bbox\": [134, 40, 189, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 40, 279, 51]}, {\"cell\": \"—\", \"bbox\": [336, 40, 346, 51]}, {\"cell\": \"2.17\", \"bbox\": [411, 40, 427, 51]}, {\"cell\": \"Mouse\", \"bbox\": [471, 40, 497, 51]}, {\"cell\": \"(−)-[<sup>18</sup>F]FEOBV (<b>2</b>)<sup>∗</sup> [45]\", \"bbox\": [2, 47, 100, 63]}, {\"cell\": \"4.5 (180 min)\", \"bbox\": [137, 51, 187, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 51, 277, 61]}, {\"cell\": \"—\", \"bbox\": [336, 51, 346, 61]}, {\"cell\": \"1.74\", \"bbox\": [411, 51, 428, 61]}, {\"cell\": \"Mouse\", \"bbox\": [471, 51, 497, 61]}, {\"cell\": \"(+)-[<sup>18</sup>F]FEOBV (<b>2</b>)<sup>∗</sup> [45]\", \"bbox\": [2, 57, 100, 72]}, {\"cell\": \"2.0 (180 min)\", \"bbox\": [137, 61, 187, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 61, 275, 72]}, {\"cell\": \"—\", \"bbox\": [336, 61, 346, 72]}, {\"cell\": \"0.95\", \"bbox\": [411, 61, 428, 72]}, {\"cell\": \"Mouse\", \"bbox\": [471, 61, 497, 72]}, {\"cell\": \"(−)-[<sup>11</sup>C]MABV (<b>3</b>)\", \"bbox\": [2, 68, 77, 84]}, {\"cell\": \"3.99 (45 min)\", \"bbox\": [136, 72, 187, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 72, 274, 82]}, {\"cell\": \"—\", \"bbox\": [336, 72, 346, 82]}, {\"cell\": \"2.03\", \"bbox\": [411, 72, 428, 82]}, {\"cell\": \"Mouse\", \"bbox\": [471, 72, 497, 82]}, {\"cell\": \"(+)-[<sup>11</sup>C]MABV (<b>3</b>)\", \"bbox\": [2, 80, 77, 93]}, {\"cell\": \"0.91 (45 min)\", \"bbox\": [137, 82, 187, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 82, 277, 93]}, {\"cell\": \"—\", \"bbox\": [336, 82, 346, 93]}, {\"cell\": \"1.35\", \"bbox\": [411, 82, 428, 93]}, {\"cell\": \"Mouse\", \"bbox\": [471, 82, 497, 93]}, {\"cell\": \"(−)-[<sup>125</sup>I]MIBT (<b>8</b>) [52]\", \"bbox\": [2, 89, 91, 105]}, {\"cell\": \"—\", \"bbox\": [157, 93, 167, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 93, 256, 103]}, {\"cell\": \"0.27 (60 min)\", \"bbox\": [316, 93, 366, 103]}, {\"cell\": \"—\", \"bbox\": [414, 93, 424, 103]}, {\"cell\": \"Rat\", \"bbox\": [477, 93, 491, 103]}, {\"cell\": \"(+)-[<sup>125</sup>I]MIBT (<b>8</b>) [52]\", \"bbox\": [2, 101, 91, 114]}, {\"cell\": \"—\", \"bbox\": [157, 103, 167, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 103, 256, 114]}, {\"cell\": \"0.83 (60 min)\", \"bbox\": [316, 103, 366, 114]}, {\"cell\": \"—\", \"bbox\": [414, 103, 424, 114]}, {\"cell\": \"Rat\", \"bbox\": [477, 103, 491, 114]}, {\"cell\": \"(−)-[<sup>18</sup>F]FBT (<b>9</b>) [57]\", \"bbox\": [2, 110, 83, 126]}, {\"cell\": \"1.18 (60 min)\", \"bbox\": [137, 114, 187, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 114, 277, 124]}, {\"cell\": \"1.05 (60 min)\", \"bbox\": [316, 114, 366, 124]}, {\"cell\": \"0.87\", \"bbox\": [411, 114, 428, 124]}, {\"cell\": \"Rat\", \"bbox\": [477, 114, 491, 124]}, {\"cell\": \"(+)-[<sup>18</sup>F]FBT (<b>9</b>) [57]\", \"bbox\": [2, 122, 83, 135]}, {\"cell\": \"0.58 (60 min)\", \"bbox\": [136, 124, 187, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 124, 277, 135]}, {\"cell\": \"0.59 (60 min)\", \"bbox\": [316, 124, 366, 135]}, {\"cell\": \"1.28\", \"bbox\": [411, 124, 428, 135]}, {\"cell\": \"Rat\", \"bbox\": [477, 124, 491, 135]}, {\"cell\": \"(−)-[<sup>123</sup>I]OIDV (<b>13</b>) [63]\", \"bbox\": [2, 131, 96, 147]}, {\"cell\": \"0.62 (30 min)\", \"bbox\": [136, 134, 187, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 134, 277, 145]}, {\"cell\": \"—\", \"bbox\": [336, 134, 346, 145]}, {\"cell\": \"1.02\", \"bbox\": [411, 134, 428, 145]}, {\"cell\": \"Rat\", \"bbox\": [477, 134, 491, 145]}, {\"cell\": \"(+)-[<sup>123</sup>I]OIDV (<b>13</b>) [63]\", \"bbox\": [2, 143, 96, 156]}, {\"cell\": \"0.46 (30 min)\", \"bbox\": [136, 145, 187, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 145, 277, 156]}, {\"cell\": \"—\", \"bbox\": [336, 145, 346, 156]}, {\"cell\": \"0.98\", \"bbox\": [411, 145, 428, 156]}, {\"cell\": \"Rat\", \"bbox\": [477, 145, 491, 156]}, {\"cell\": \"(−)-[<sup>18</sup>F]FBBV (<b>18</b>) [77]\", \"bbox\": [2, 152, 93, 168]}, {\"cell\": \"—\", \"bbox\": [157, 155, 167, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 155, 256, 166]}, {\"cell\": \"0.226 (30 min)\", \"bbox\": [313, 155, 369, 166]}, {\"cell\": \"—\", \"bbox\": [414, 155, 424, 166]}, {\"cell\": \"Rat\", \"bbox\": [477, 155, 491, 166]}, {\"cell\": \"(+)-[<sup>18</sup>F]FBBV (<b>18</b>) [77]\", \"bbox\": [2, 164, 93, 176]}, {\"cell\": \"—\", \"bbox\": [157, 166, 167, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [246, 166, 256, 176]}, {\"cell\": \"0.071 (30 min)\", \"bbox\": [314, 166, 368, 176]}, {\"cell\": \"—\", \"bbox\": [414, 166, 424, 176]}, {\"cell\": \"Rat\", \"bbox\": [477, 166, 491, 176]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6020543_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}818{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>SNPs</b></td><td><b>Genotypes</b></td><td colspan=\\\"5\\\"><b>Radiation mucositis<sup>1</sup></b></td><td colspan=\\\"5\\\"><b>Radiation dermatitis<sup>1</sup></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>G0-2 <sup>2</sup></b></td><td><b>G3+ <sup>2</sup></b></td><td><b>OR</b></td><td><b>95%CI</b></td><td><b><i>P</i></b></td><td><b>G0-1 <sup>2</sup></b></td><td><b>G2+ <sup>2</sup></b></td><td><b>OR</b></td><td><b>95%CI</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td rowspan=\\\"4\\\"><i>XRCC1</i> rs25489</td><td>GG:GA</td><td rowspan=\\\"4\\\">68/19/4</td><td rowspan=\\\"4\\\">61/20/2</td><td>1.222</td><td>[EMPTY_CELL]</td><td>0.605</td><td rowspan=\\\"4\\\">96/27/5</td><td rowspan=\\\"4\\\">33/12/1</td><td>1.373</td><td>0.592-3.184</td><td>0.460</td></tr><tr><td>GG:AA</td><td>0.517</td><td>0.082-3.246</td><td>0.481</td><td>0.926</td><td>[EMPTY_CELL]</td><td>0.948</td></tr><tr><td>GG:(GA+AA)</td><td>1.093</td><td>0.533-2.244</td><td>0.808</td><td>1.322</td><td>[EMPTY_CELL]</td><td>0.500</td></tr><tr><td>(GG+GA):AA</td><td>0.494</td><td>0.079-3.084</td><td>0.451</td><td>0.850</td><td>[EMPTY_CELL]</td><td>0.891</td></tr><tr><td rowspan=\\\"4\\\"><i>OGG1</i> rs1052133</td><td>CC:CG</td><td rowspan=\\\"4\\\">30/40/21</td><td rowspan=\\\"4\\\">27/43/13</td><td>1.199</td><td>[EMPTY_CELL]</td><td>0.611</td><td rowspan=\\\"4\\\">42/58/28</td><td rowspan=\\\"4\\\">15/25/6</td><td>1.119</td><td>0.503-2.492</td><td>0.782</td></tr><tr><td>CC:GG</td><td>0.719</td><td>0.295-1.753</td><td>0.467</td><td>0.521</td><td>[EMPTY_CELL]</td><td>0.248</td></tr><tr><td>CC:(CG+GG)</td><td>1.033</td><td>0.536-1.993</td><td>0.922</td><td>0.910</td><td>[EMPTY_CELL]</td><td>0.808</td></tr><tr><td>(CC+CG):GG</td><td>0.646</td><td>0.293-1.423</td><td>0.278</td><td>0.487</td><td>[EMPTY_CELL]</td><td>0.158</td></tr><tr><td rowspan=\\\"4\\\"><i>APE(X)1</i> rs1130409</td><td>TT:TG</td><td rowspan=\\\"4\\\">39/45/7</td><td rowspan=\\\"4\\\">29/43/11</td><td>1.299</td><td>[EMPTY_CELL]</td><td>0.457</td><td rowspan=\\\"4\\\">51/64/13</td><td rowspan=\\\"4\\\">17/24/5</td><td>1.341</td><td>0.605-2.976</td><td>0.470</td></tr><tr><td>TT:GG</td><td>1.787</td><td>0.577-5.538</td><td>0.314</td><td>0.875</td><td>[EMPTY_CELL]</td><td>0.843</td></tr><tr><td>TT:(TG+GG)</td><td>1.379</td><td>0.716-2.656</td><td>0.336</td><td>1.235</td><td>[EMPTY_CELL]</td><td>0.584</td></tr><tr><td>(TT+TG):GG</td><td>1.569</td><td>0.535-4.603</td><td>0.412</td><td>0.761</td><td>[EMPTY_CELL]</td><td>0.670</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>SNPs</b>\", \"bbox\": [24, 6, 42, 14]}, {\"cell\": \"<b>Genotypes</b>\", \"bbox\": [77, 6, 111, 14]}, {\"cell\": \"<b>Radiation mucositis<sup>1</sup></b>\", \"bbox\": [181, 5, 245, 14]}, {\"cell\": \"<b>Radiation dermatitis<sup>1</sup></b>\", \"bbox\": [368, 5, 434, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>G0-2 <sup>2</sup></b>\", \"bbox\": [129, 20, 150, 28]}, {\"cell\": \"<b>G3+ <sup>2</sup></b>\", \"bbox\": [166, 20, 185, 28]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [205, 20, 217, 28]}, {\"cell\": \"<b>95%CI</b>\", \"bbox\": [238, 20, 262, 28]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [285, 20, 292, 27]}, {\"cell\": \"<b>G0-1 <sup>2</sup></b>\", \"bbox\": [310, 20, 330, 28]}, {\"cell\": \"<b>G2+ <sup>2</sup></b>\", \"bbox\": [344, 20, 362, 28]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [378, 20, 391, 28]}, {\"cell\": \"<b>95%CI</b>\", \"bbox\": [419, 20, 443, 28]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [477, 20, 484, 27]}, {\"cell\": \"<i>XRCC1</i> rs25489\", \"bbox\": [4, 56, 51, 67]}, {\"cell\": \"GG:GA\", \"bbox\": [82, 34, 106, 45]}, {\"cell\": \"68/19/4\", \"bbox\": [128, 56, 151, 67]}, {\"cell\": \"61/20/2\", \"bbox\": [164, 56, 187, 67]}, {\"cell\": \"1.222\", \"bbox\": [202, 34, 220, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 34, 268, 45]}, {\"cell\": \"0.605\", \"bbox\": [280, 34, 297, 45]}, {\"cell\": \"96/27/5\", \"bbox\": [308, 56, 332, 67]}, {\"cell\": \"33/12/1\", \"bbox\": [341, 56, 365, 67]}, {\"cell\": \"1.373\", \"bbox\": [376, 34, 393, 45]}, {\"cell\": \"0.592-3.184\", \"bbox\": [413, 34, 449, 45]}, {\"cell\": \"0.460\", \"bbox\": [472, 34, 489, 45]}, {\"cell\": \"GG:AA\", \"bbox\": [82, 48, 106, 60]}, {\"cell\": \"0.517\", \"bbox\": [202, 48, 220, 60]}, {\"cell\": \"0.082-3.246\", \"bbox\": [232, 48, 268, 60]}, {\"cell\": \"0.481\", \"bbox\": [280, 51, 297, 58]}, {\"cell\": \"0.926\", \"bbox\": [376, 48, 393, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 48, 449, 60]}, {\"cell\": \"0.948\", \"bbox\": [472, 48, 489, 60]}, {\"cell\": \"GG:(GA+AA)\", \"bbox\": [72, 63, 115, 74]}, {\"cell\": \"1.093\", \"bbox\": [202, 63, 220, 74]}, {\"cell\": \"0.533-2.244\", \"bbox\": [232, 63, 268, 74]}, {\"cell\": \"0.808\", \"bbox\": [280, 66, 297, 72]}, {\"cell\": \"1.322\", \"bbox\": [376, 63, 393, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 63, 449, 74]}, {\"cell\": \"0.500\", \"bbox\": [472, 63, 489, 74]}, {\"cell\": \"(GG+GA):AA\", \"bbox\": [73, 78, 116, 89]}, {\"cell\": \"0.494\", \"bbox\": [202, 78, 220, 89]}, {\"cell\": \"0.079-3.084\", \"bbox\": [232, 78, 268, 89]}, {\"cell\": \"0.451\", \"bbox\": [280, 78, 297, 89]}, {\"cell\": \"0.850\", \"bbox\": [376, 78, 393, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 78, 449, 89]}, {\"cell\": \"0.891\", \"bbox\": [471, 78, 489, 89]}, {\"cell\": \"<i>OGG1</i> rs1052133\", \"bbox\": [4, 115, 55, 126]}, {\"cell\": \"CC:CG\", \"bbox\": [82, 93, 105, 104]}, {\"cell\": \"30/40/21\", \"bbox\": [126, 115, 153, 126]}, {\"cell\": \"27/43/13\", \"bbox\": [162, 115, 189, 126]}, {\"cell\": \"1.199\", \"bbox\": [202, 93, 220, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 93, 268, 104]}, {\"cell\": \"0.611\", \"bbox\": [280, 93, 297, 104]}, {\"cell\": \"42/58/28\", \"bbox\": [307, 115, 333, 126]}, {\"cell\": \"15/25/6\", \"bbox\": [341, 115, 365, 126]}, {\"cell\": \"1.119\", \"bbox\": [376, 93, 393, 104]}, {\"cell\": \"0.503-2.492\", \"bbox\": [413, 93, 449, 104]}, {\"cell\": \"0.782\", \"bbox\": [472, 93, 489, 104]}, {\"cell\": \"CC:GG\", \"bbox\": [82, 108, 106, 119]}, {\"cell\": \"0.719\", \"bbox\": [202, 108, 220, 119]}, {\"cell\": \"0.295-1.753\", \"bbox\": [232, 108, 268, 119]}, {\"cell\": \"0.467\", \"bbox\": [280, 108, 297, 119]}, {\"cell\": \"0.521\", \"bbox\": [376, 108, 393, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 108, 449, 119]}, {\"cell\": \"0.248\", \"bbox\": [471, 108, 489, 119]}, {\"cell\": \"CC:(CG+GG)\", \"bbox\": [73, 123, 115, 134]}, {\"cell\": \"1.033\", \"bbox\": [202, 123, 220, 134]}, {\"cell\": \"0.536-1.993\", \"bbox\": [232, 123, 268, 134]}, {\"cell\": \"0.922\", \"bbox\": [280, 123, 297, 134]}, {\"cell\": \"0.910\", \"bbox\": [376, 123, 393, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 123, 449, 134]}, {\"cell\": \"0.808\", \"bbox\": [472, 125, 489, 132]}, {\"cell\": \"(CC+CG):GG\", \"bbox\": [73, 138, 115, 149]}, {\"cell\": \"0.646\", \"bbox\": [202, 138, 220, 149]}, {\"cell\": \"0.293-1.423\", \"bbox\": [232, 138, 268, 149]}, {\"cell\": \"0.278\", \"bbox\": [280, 138, 297, 149]}, {\"cell\": \"0.487\", \"bbox\": [376, 140, 393, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 138, 449, 149]}, {\"cell\": \"0.158\", \"bbox\": [472, 138, 489, 149]}, {\"cell\": \"<i>APE(X)1</i> rs1130409\", \"bbox\": [4, 175, 62, 186]}, {\"cell\": \"TT:TG\", \"bbox\": [83, 152, 105, 164]}, {\"cell\": \"39/45/7\", \"bbox\": [128, 175, 151, 186]}, {\"cell\": \"29/43/11\", \"bbox\": [162, 175, 189, 186]}, {\"cell\": \"1.299\", \"bbox\": [202, 152, 220, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 152, 268, 164]}, {\"cell\": \"0.457\", \"bbox\": [280, 152, 297, 164]}, {\"cell\": \"51/64/13\", \"bbox\": [307, 175, 333, 186]}, {\"cell\": \"17/24/5\", \"bbox\": [341, 175, 365, 186]}, {\"cell\": \"1.341\", \"bbox\": [376, 152, 393, 164]}, {\"cell\": \"0.605-2.976\", \"bbox\": [413, 152, 449, 164]}, {\"cell\": \"0.470\", \"bbox\": [472, 155, 489, 162]}, {\"cell\": \"TT:GG\", \"bbox\": [83, 167, 105, 178]}, {\"cell\": \"1.787\", \"bbox\": [202, 170, 220, 176]}, {\"cell\": \"0.577-5.538\", \"bbox\": [232, 167, 268, 178]}, {\"cell\": \"0.314\", \"bbox\": [280, 167, 297, 178]}, {\"cell\": \"0.875\", \"bbox\": [376, 167, 393, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 167, 449, 178]}, {\"cell\": \"0.843\", \"bbox\": [472, 167, 489, 178]}, {\"cell\": \"TT:(TG+GG)\", \"bbox\": [74, 182, 114, 193]}, {\"cell\": \"1.379\", \"bbox\": [202, 182, 220, 193]}, {\"cell\": \"0.716-2.656\", \"bbox\": [232, 182, 268, 193]}, {\"cell\": \"0.336\", \"bbox\": [280, 182, 297, 193]}, {\"cell\": \"1.235\", \"bbox\": [376, 182, 393, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 182, 449, 193]}, {\"cell\": \"0.584\", \"bbox\": [472, 182, 489, 193]}, {\"cell\": \"(TT+TG):GG\", \"bbox\": [74, 197, 114, 208]}, {\"cell\": \"1.569\", \"bbox\": [202, 197, 220, 208]}, {\"cell\": \"0.535-4.603\", \"bbox\": [232, 197, 268, 208]}, {\"cell\": \"0.412\", \"bbox\": [280, 197, 297, 208]}, {\"cell\": \"0.761\", \"bbox\": [376, 197, 393, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [413, 197, 449, 208]}, {\"cell\": \"0.670\", \"bbox\": [472, 197, 489, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5667987_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}819{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variable</b></td><td colspan=\\\"3\\\"><b>Perceived Stress</b></td></tr><tr><td><b>Whole Sample</b></td><td><b>Females</b></td><td><b>Males</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>β (95% CI)</b></td><td><b>β (95% CI)</b></td><td><b>β (95% CI)</b></td></tr></thead><tbody><tr><td>Food intake pattern score</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Sweets, cookies & snacks</td><td>−0.02 (−0.07; 0.03)</td><td>0.01 (−0.06; 0.07)</td><td>[EMPTY_CELL]</td></tr><tr><td>Fruits, and raw & cooked vegetables</td><td><b>−0.12 (−0.17; −0.07)</b></td><td>−0.06 (−0.13; 0.02)</td><td>[EMPTY_CELL]</td></tr><tr><td>Healthy eating</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Subjective importance of healthy eating</td><td><b>−0.30 (−0.41; −0.19)</b></td><td><b>−0.30 (−0.45; −0.14)</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Objective healthy eating adherence index</td><td>−0.02 (−0.11; 0.07)</td><td>0.00 (−0.13; 0.13)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [69, 14, 112, 26]}, {\"cell\": \"<b>Perceived Stress</b>\", \"bbox\": [296, 7, 368, 18]}, {\"cell\": \"<b>Whole Sample</b>\", \"bbox\": [201, 22, 265, 33]}, {\"cell\": \"<b>Females</b>\", \"bbox\": [318, 22, 355, 33]}, {\"cell\": \"<b>Males</b>\", \"bbox\": [421, 22, 449, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>β (95% CI)</b>\", \"bbox\": [208, 34, 258, 50]}, {\"cell\": \"<b>β (95% CI)</b>\", \"bbox\": [311, 34, 361, 50]}, {\"cell\": \"<b>β (95% CI)</b>\", \"bbox\": [410, 34, 460, 50]}, {\"cell\": \"Food intake pattern score\", \"bbox\": [39, 53, 142, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sweets, cookies & snacks\", \"bbox\": [38, 68, 143, 79]}, {\"cell\": \"−0.02 (−0.07; 0.03)\", \"bbox\": [193, 65, 274, 80]}, {\"cell\": \"0.01 (−0.06; 0.07)\", \"bbox\": [299, 65, 374, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 65, 475, 80]}, {\"cell\": \"Fruits, and raw & cooked vegetables\", \"bbox\": [16, 83, 165, 94]}, {\"cell\": \"<b>−0.12 (−0.17; −0.07)</b>\", \"bbox\": [190, 80, 277, 95]}, {\"cell\": \"−0.06 (−0.13; 0.02)\", \"bbox\": [296, 80, 376, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [393, 80, 477, 95]}, {\"cell\": \"Healthy eating\", \"bbox\": [60, 98, 121, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Subjective importance of healthy eating\", \"bbox\": [10, 113, 171, 124]}, {\"cell\": \"<b>−0.30 (−0.41; −0.19)</b>\", \"bbox\": [190, 110, 277, 125]}, {\"cell\": \"<b>−0.30 (−0.45; −0.14)</b>\", \"bbox\": [293, 110, 380, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 110, 478, 125]}, {\"cell\": \"Objective healthy eating adherence index\", \"bbox\": [7, 128, 174, 139]}, {\"cell\": \"−0.02 (−0.11; 0.07)\", \"bbox\": [193, 125, 274, 140]}, {\"cell\": \"0.00 (−0.13; 0.13)\", \"bbox\": [299, 125, 374, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 125, 475, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4661639_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}820{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Background characteristics</b></td><td><b>N</b></td><td><b>No. ever received couples' HCT</b></td><td><b>Percentage %</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>165</b></td><td><b>63</b></td><td><b>38.2</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>24</td><td>7</td><td>29.2</td></tr><tr><td>[EMPTY_CELL]</td><td>88</td><td>34</td><td>38.6</td></tr><tr><td>[EMPTY_CELL]</td><td>53</td><td>22</td><td>41.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>78</td><td>34</td><td>43.6</td></tr><tr><td>[EMPTY_CELL]</td><td>87</td><td>29</td><td>33.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>56</td><td>22</td><td>39.3</td></tr><tr><td>[EMPTY_CELL]</td><td>59</td><td>26</td><td>44.1</td></tr><tr><td>[EMPTY_CELL]</td><td>50</td><td>15</td><td>30.0</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>74</td><td>29</td><td>39.2</td></tr><tr><td>[EMPTY_CELL]</td><td>76</td><td>29</td><td>38.2</td></tr><tr><td>[EMPTY_CELL]</td><td>15</td><td>5</td><td>33.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>56</td><td>20</td><td>35.7</td></tr><tr><td>[EMPTY_CELL]</td><td>38</td><td>17</td><td>44.7</td></tr><tr><td>[EMPTY_CELL]</td><td>44</td><td>13</td><td>29.5</td></tr><tr><td>[EMPTY_CELL]</td><td>27</td><td>13</td><td>48.1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>109</td><td>42</td><td>38.5</td></tr><tr><td>[EMPTY_CELL]</td><td>56</td><td>21</td><td>37.5</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Background characteristics</b>\", \"bbox\": [6, 4, 141, 16]}, {\"cell\": \"<b>N</b>\", \"bbox\": [165, 4, 176, 16]}, {\"cell\": \"<b>No. ever received couples' HCT</b>\", \"bbox\": [231, 4, 392, 16]}, {\"cell\": \"<b>Percentage %</b>\", \"bbox\": [401, 4, 470, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 23, 48, 35]}, {\"cell\": \"<b>165</b>\", \"bbox\": [165, 23, 186, 35]}, {\"cell\": \"<b>63</b>\", \"bbox\": [231, 23, 245, 35]}, {\"cell\": \"<b>38.2</b>\", \"bbox\": [401, 23, 424, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 39, 95, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 54, 37, 67]}, {\"cell\": \"24\", \"bbox\": [165, 54, 180, 67]}, {\"cell\": \"7\", \"bbox\": [231, 54, 239, 67]}, {\"cell\": \"29.2\", \"bbox\": [404, 54, 427, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 71, 37, 83]}, {\"cell\": \"88\", \"bbox\": [165, 71, 180, 83]}, {\"cell\": \"34\", \"bbox\": [231, 71, 245, 83]}, {\"cell\": \"38.6\", \"bbox\": [404, 71, 427, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 87, 28, 99]}, {\"cell\": \"53\", \"bbox\": [165, 87, 180, 99]}, {\"cell\": \"22\", \"bbox\": [231, 87, 245, 99]}, {\"cell\": \"41.5\", \"bbox\": [404, 87, 427, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 103, 27, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 119, 34, 131]}, {\"cell\": \"78\", \"bbox\": [165, 119, 180, 131]}, {\"cell\": \"34\", \"bbox\": [231, 119, 245, 131]}, {\"cell\": \"43.6\", \"bbox\": [404, 119, 427, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 135, 44, 147]}, {\"cell\": \"87\", \"bbox\": [165, 135, 180, 147]}, {\"cell\": \"29\", \"bbox\": [231, 135, 245, 147]}, {\"cell\": \"33.3\", \"bbox\": [404, 135, 427, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 151, 84, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 167, 79, 179]}, {\"cell\": \"56\", \"bbox\": [165, 167, 180, 179]}, {\"cell\": \"22\", \"bbox\": [231, 167, 245, 179]}, {\"cell\": \"39.3\", \"bbox\": [404, 167, 427, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 183, 96, 195]}, {\"cell\": \"59\", \"bbox\": [165, 183, 180, 195]}, {\"cell\": \"26\", \"bbox\": [231, 183, 245, 195]}, {\"cell\": \"44.1\", \"bbox\": [404, 183, 427, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 199, 102, 211]}, {\"cell\": \"50\", \"bbox\": [165, 199, 180, 211]}, {\"cell\": \"15\", \"bbox\": [231, 199, 245, 211]}, {\"cell\": \"30.0\", \"bbox\": [404, 199, 427, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 216, 89, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 231, 75, 244]}, {\"cell\": \"74\", \"bbox\": [165, 231, 180, 244]}, {\"cell\": \"29\", \"bbox\": [231, 231, 245, 244]}, {\"cell\": \"39.2\", \"bbox\": [404, 231, 427, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 248, 87, 260]}, {\"cell\": \"76\", \"bbox\": [165, 248, 180, 260]}, {\"cell\": \"29\", \"bbox\": [231, 248, 245, 260]}, {\"cell\": \"38.2\", \"bbox\": [404, 248, 427, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 264, 110, 276]}, {\"cell\": \"15\", \"bbox\": [165, 264, 180, 276]}, {\"cell\": \"5\", \"bbox\": [231, 264, 239, 276]}, {\"cell\": \"33.3\", \"bbox\": [404, 264, 427, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 280, 52, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 296, 50, 308]}, {\"cell\": \"56\", \"bbox\": [165, 296, 180, 308]}, {\"cell\": \"20\", \"bbox\": [231, 296, 245, 308]}, {\"cell\": \"35.7\", \"bbox\": [404, 296, 427, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 312, 151, 324]}, {\"cell\": \"38\", \"bbox\": [165, 312, 180, 324]}, {\"cell\": \"17\", \"bbox\": [231, 312, 245, 324]}, {\"cell\": \"44.7\", \"bbox\": [404, 312, 427, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 328, 47, 340]}, {\"cell\": \"44\", \"bbox\": [165, 328, 180, 340]}, {\"cell\": \"13\", \"bbox\": [231, 328, 245, 340]}, {\"cell\": \"29.5\", \"bbox\": [404, 328, 427, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 344, 125, 356]}, {\"cell\": \"27\", \"bbox\": [165, 344, 180, 356]}, {\"cell\": \"13\", \"bbox\": [231, 344, 245, 356]}, {\"cell\": \"48.1\", \"bbox\": [404, 344, 427, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 361, 69, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 376, 81, 388]}, {\"cell\": \"109\", \"bbox\": [165, 376, 186, 388]}, {\"cell\": \"42\", \"bbox\": [231, 376, 245, 388]}, {\"cell\": \"38.5\", \"bbox\": [404, 376, 427, 388]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 392, 36, 404]}, {\"cell\": \"56\", \"bbox\": [165, 392, 180, 404]}, {\"cell\": \"21\", \"bbox\": [231, 392, 245, 404]}, {\"cell\": \"37.5\", \"bbox\": [404, 392, 427, 404]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5656195_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}821{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Acute/subacute (<i>n</i> = 41)</b></td><td><b>Chronic (<i>n</i> = 24)</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>Age (y)</td><td>[EMPTY_CELL]</td><td>55 (44–62)</td><td>0.822</td></tr><tr><td>Female sex</td><td>[EMPTY_CELL]</td><td>21 (87.5%)</td><td>0.015</td></tr><tr><td>Severity (Numeric Rating Scale)</td><td>[EMPTY_CELL]</td><td>7 (5 – 8)</td><td>0.012</td></tr><tr><td>Duration (s)</td><td>[EMPTY_CELL]</td><td>1 (1 – 3)</td><td>0.348</td></tr><tr><td colspan=\\\"4\\\">Affected territory (not exclusive)</td></tr><tr><td> Occipital</td><td>[EMPTY_CELL]</td><td>18 (75.0%)</td><td>0.154</td></tr><tr><td> V1</td><td>[EMPTY_CELL]</td><td>4 (16.7%)</td><td>0.454</td></tr><tr><td> Multiple</td><td>[EMPTY_CELL]</td><td>9 (37.5%)</td><td>0.065</td></tr><tr><td colspan=\\\"3\\\">Side</td><td>[EMPTY_CELL]</td></tr><tr><td> Side-locked</td><td>[EMPTY_CELL]</td><td>13 (54.2%)</td><td>[EMPTY_CELL]</td></tr><tr><td> Bilateral or alternating</td><td>[EMPTY_CELL]</td><td>11 (45.8%)</td><td>[EMPTY_CELL]</td></tr><tr><td> Migrating location</td><td>[EMPTY_CELL]</td><td>8 (33.3%)</td><td>0.133</td></tr><tr><td colspan=\\\"3\\\">Stab frequency per day</td><td>[EMPTY_CELL]</td></tr><tr><td> 1 (sporadic stab)</td><td>[EMPTY_CELL]</td><td>6 (25.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td> 2 – 10</td><td>[EMPTY_CELL]</td><td>11 (45.8%)</td><td>[EMPTY_CELL]</td></tr><tr><td> 10 – 30</td><td>[EMPTY_CELL]</td><td>4 (16.7%)</td><td>[EMPTY_CELL]</td></tr><tr><td> 30 – 100</td><td>[EMPTY_CELL]</td><td>2 (8.3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>> 100</td><td>[EMPTY_CELL]</td><td>1 (4.2%)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Pattern of occurrence (either single or series of stabs)</td><td>[EMPTY_CELL]</td></tr><tr><td> Daily</td><td>[EMPTY_CELL]</td><td>8 (33.3%)</td><td>[EMPTY_CELL]</td></tr><tr><td> A few per month</td><td>[EMPTY_CELL]</td><td>7 (29.2%)</td><td>[EMPTY_CELL]</td></tr><tr><td> A few per year</td><td>[EMPTY_CELL]</td><td>9 (37.5%)</td><td>[EMPTY_CELL]</td></tr><tr><td> Disease duration prior to visit (d)</td><td>[EMPTY_CELL]</td><td>1,095 (195 – 2,920)</td><td>0.000</td></tr><tr><td> Follow-up (d)</td><td>[EMPTY_CELL]</td><td>49 (29 – 98)</td><td>0.086</td></tr><tr><td> Total disease duration (d)</td><td>[EMPTY_CELL]</td><td>987 (274 – 2,291)</td><td>0.000</td></tr><tr><td> Complete remission</td><td>[EMPTY_CELL]</td><td>4 (16.7%)</td><td><0.001</td></tr><tr><td colspan=\\\"3\\\">Mode of remission</td><td>[EMPTY_CELL]</td></tr><tr><td> Spontaneous</td><td>[EMPTY_CELL]</td><td>0 (0.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td> By treatment</td><td>[EMPTY_CELL]</td><td>4 (100.0%)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"4\\\">Treatment response<sup>a</sup></td></tr><tr><td> Indomethacin</td><td>[EMPTY_CELL]</td><td>4/5 (80.0%)</td><td>0.464</td></tr><tr><td> Prednisolone</td><td>[EMPTY_CELL]</td><td>0/4 (0.0%)</td><td>0.015</td></tr><tr><td> Gabapentin</td><td>[EMPTY_CELL]</td><td>1/4 (25.0%)</td><td>0.266</td></tr><tr><td> Tricyclic antidepressants</td><td>[EMPTY_CELL]</td><td>0/3 (0.0%)</td><td>>0.999</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Acute/subacute (<i>n</i> = 41)</b>\", \"bbox\": [183, 4, 261, 13]}, {\"cell\": \"<b>Chronic (<i>n</i> = 24)</b>\", \"bbox\": [329, 4, 381, 13]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [458, 6, 464, 13]}, {\"cell\": \"Age (y)\", \"bbox\": [1, 17, 25, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 17, 218, 27]}, {\"cell\": \"55 (44–62)\", \"bbox\": [329, 17, 364, 27]}, {\"cell\": \"0.822\", \"bbox\": [458, 17, 477, 27]}, {\"cell\": \"Female sex\", \"bbox\": [1, 31, 38, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 31, 218, 41]}, {\"cell\": \"21 (87.5%)\", \"bbox\": [329, 31, 363, 41]}, {\"cell\": \"0.015\", \"bbox\": [458, 31, 477, 41]}, {\"cell\": \"Severity (Numeric Rating Scale)\", \"bbox\": [1, 45, 102, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 45, 212, 55]}, {\"cell\": \"7 (5 – 8)\", \"bbox\": [329, 45, 357, 55]}, {\"cell\": \"0.012\", \"bbox\": [458, 45, 477, 55]}, {\"cell\": \"Duration (s)\", \"bbox\": [1, 59, 40, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 59, 212, 69]}, {\"cell\": \"1 (1 – 3)\", \"bbox\": [329, 59, 357, 69]}, {\"cell\": \"0.348\", \"bbox\": [458, 59, 477, 69]}, {\"cell\": \"Affected territory (not exclusive)\", \"bbox\": [1, 73, 105, 83]}, {\"cell\": \" Occipital\", \"bbox\": [9, 87, 38, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 87, 218, 97]}, {\"cell\": \"18 (75.0%)\", \"bbox\": [329, 87, 363, 97]}, {\"cell\": \"0.154\", \"bbox\": [458, 87, 477, 97]}, {\"cell\": \" V1\", \"bbox\": [9, 101, 18, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 101, 210, 111]}, {\"cell\": \"4 (16.7%)\", \"bbox\": [329, 101, 360, 111]}, {\"cell\": \"0.454\", \"bbox\": [458, 101, 477, 111]}, {\"cell\": \" Multiple\", \"bbox\": [9, 115, 36, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 115, 214, 125]}, {\"cell\": \"9 (37.5%)\", \"bbox\": [329, 115, 360, 125]}, {\"cell\": \"0.065\", \"bbox\": [458, 115, 477, 125]}, {\"cell\": \"Side\", \"bbox\": [1, 129, 16, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 129, 477, 139]}, {\"cell\": \" Side-locked\", \"bbox\": [9, 143, 47, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 143, 218, 153]}, {\"cell\": \"13 (54.2%)\", \"bbox\": [329, 143, 363, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Bilateral or alternating\", \"bbox\": [9, 157, 81, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 157, 214, 167]}, {\"cell\": \"11 (45.8%)\", \"bbox\": [329, 157, 363, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Migrating location\", \"bbox\": [9, 171, 69, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 171, 214, 180]}, {\"cell\": \"8 (33.3%)\", \"bbox\": [329, 171, 360, 180]}, {\"cell\": \"0.133\", \"bbox\": [458, 171, 477, 180]}, {\"cell\": \"Stab frequency per day\", \"bbox\": [1, 185, 77, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 185, 480, 194]}, {\"cell\": \" 1 (sporadic stab)\", \"bbox\": [9, 199, 63, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 199, 210, 208]}, {\"cell\": \"6 (25.0%)\", \"bbox\": [329, 199, 360, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2 – 10\", \"bbox\": [9, 213, 31, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 213, 218, 222]}, {\"cell\": \"11 (45.8%)\", \"bbox\": [329, 213, 363, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 10 – 30\", \"bbox\": [9, 227, 35, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 227, 214, 236]}, {\"cell\": \"4 (16.7%)\", \"bbox\": [329, 227, 360, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 30 – 100\", \"bbox\": [9, 241, 38, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 241, 214, 250]}, {\"cell\": \"2 (8.3%)\", \"bbox\": [329, 241, 356, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 100\", \"bbox\": [10, 255, 30, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 255, 214, 264]}, {\"cell\": \"1 (4.2%)\", \"bbox\": [329, 255, 356, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pattern of occurrence (either single or series of stabs)\", \"bbox\": [1, 269, 95, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 269, 484, 278]}, {\"cell\": \" Daily\", \"bbox\": [9, 292, 26, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 292, 218, 302]}, {\"cell\": \"8 (33.3%)\", \"bbox\": [329, 292, 360, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A few per month\", \"bbox\": [9, 306, 66, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 306, 210, 316]}, {\"cell\": \"7 (29.2%)\", \"bbox\": [329, 306, 360, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" A few per year\", \"bbox\": [9, 320, 58, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 320, 210, 330]}, {\"cell\": \"9 (37.5%)\", \"bbox\": [329, 320, 360, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Disease duration prior to visit (d)\", \"bbox\": [9, 334, 115, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 334, 219, 344]}, {\"cell\": \"1,095 (195 – 2,920)\", \"bbox\": [329, 334, 391, 344]}, {\"cell\": \"0.000\", \"bbox\": [458, 334, 477, 344]}, {\"cell\": \" Follow-up (d)\", \"bbox\": [9, 348, 53, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 348, 223, 358]}, {\"cell\": \"49 (29 – 98)\", \"bbox\": [329, 348, 369, 358]}, {\"cell\": \"0.086\", \"bbox\": [458, 348, 477, 358]}, {\"cell\": \" Total disease duration (d)\", \"bbox\": [9, 362, 92, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 362, 219, 371]}, {\"cell\": \"987 (274 – 2,291)\", \"bbox\": [329, 362, 386, 371]}, {\"cell\": \"0.000\", \"bbox\": [458, 362, 477, 371]}, {\"cell\": \" Complete remission\", \"bbox\": [9, 376, 74, 385]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 376, 218, 385]}, {\"cell\": \"4 (16.7%)\", \"bbox\": [329, 376, 360, 385]}, {\"cell\": \"<0.001\", \"bbox\": [458, 376, 481, 385]}, {\"cell\": \"Mode of remission\", \"bbox\": [1, 390, 62, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [458, 390, 477, 399]}, {\"cell\": \" Spontaneous\", \"bbox\": [9, 404, 52, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 404, 218, 413]}, {\"cell\": \"0 (0.0%)\", \"bbox\": [329, 404, 356, 413]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" By treatment\", \"bbox\": [9, 418, 52, 427]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 418, 218, 427]}, {\"cell\": \"4 (100.0%)\", \"bbox\": [329, 418, 363, 427]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Treatment response<sup>a</sup>\", \"bbox\": [1, 430, 69, 441]}, {\"cell\": \" Indomethacin\", \"bbox\": [8, 446, 55, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 446, 220, 456]}, {\"cell\": \"4/5 (80.0%)\", \"bbox\": [329, 446, 366, 456]}, {\"cell\": \"0.464\", \"bbox\": [458, 446, 477, 456]}, {\"cell\": \" Prednisolone\", \"bbox\": [9, 460, 52, 470]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 460, 220, 470]}, {\"cell\": \"0/4 (0.0%)\", \"bbox\": [329, 460, 362, 470]}, {\"cell\": \"0.015\", \"bbox\": [458, 460, 477, 470]}, {\"cell\": \" Gabapentin\", \"bbox\": [9, 474, 48, 484]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 474, 220, 484]}, {\"cell\": \"1/4 (25.0%)\", \"bbox\": [329, 474, 366, 484]}, {\"cell\": \"0.266\", \"bbox\": [458, 474, 477, 484]}, {\"cell\": \" Tricyclic antidepressants\", \"bbox\": [9, 488, 87, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [183, 488, 220, 498]}, {\"cell\": \"0/3 (0.0%)\", \"bbox\": [329, 488, 362, 498]}, {\"cell\": \">0.999\", \"bbox\": [458, 488, 481, 498]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5388665_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}822{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>Incident Cardiac Events</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Vascular Measure Risk</b></td><td colspan=\\\"2\\\"><b>Model Discrimination</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Overall</b></td><td><b>Developmental</b></td><td><b>Test</b></td></tr><tr><td><b>Model</b></td><td><b>RCCA Measure</b></td><td><b>N = 6060</b></td><td><b>N = 3841</b></td><td><b>N = 2219</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>HR (95% CI)</b></td><td><b>AUC</b></td><td><b>AUC</b></td></tr></thead><tbody><tr><td>1</td><td>IMT</td><td>[EMPTY_CELL]</td><td>0.621</td><td>0.608</td></tr><tr><td>2</td><td>IMT</td><td>[EMPTY_CELL]</td><td>0.682</td><td>0.675</td></tr><tr><td>3</td><td>IMT</td><td>[EMPTY_CELL]</td><td>0.830</td><td>0.805</td></tr><tr><td>1</td><td>diameter</td><td>[EMPTY_CELL]</td><td>0.696</td><td>0.679</td></tr><tr><td>2</td><td>diameter</td><td>[EMPTY_CELL]</td><td>0.724</td><td>0.712</td></tr><tr><td>3</td><td>diameter</td><td>[EMPTY_CELL]</td><td>0.831</td><td>0.812</td></tr><tr><td>1</td><td>Wall area</td><td>[EMPTY_CELL]</td><td>0.680</td><td>0.661</td></tr><tr><td>2</td><td>Wall area</td><td>[EMPTY_CELL]</td><td>0.702</td><td>0.699</td></tr><tr><td>3</td><td>Wall area</td><td>[EMPTY_CELL]</td><td>0.831</td><td>0.808</td></tr><tr><td>Model</td><td>Two Measures</td><td>[EMPTY_CELL]</td><td>Developmental</td><td>Test</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>AUC</td><td>AUC</td></tr><tr><td>1</td><td>IMT +diameter</td><td>[EMPTY_CELL]</td><td>0.705</td><td>0.674</td></tr><tr><td>2</td><td>IMT +diameter</td><td>[EMPTY_CELL]</td><td>0.724</td><td>0.705</td></tr><tr><td>3</td><td>IMT +diameter</td><td>[EMPTY_CELL]</td><td>0.831</td><td>0.805</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Incident Cardiac Events</b>\", \"bbox\": [310, 5, 391, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Vascular Measure Risk</b>\", \"bbox\": [212, 15, 289, 24]}, {\"cell\": \"<b>Model Discrimination</b>\", \"bbox\": [364, 15, 438, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Overall</b>\", \"bbox\": [238, 25, 264, 35]}, {\"cell\": \"<b>Developmental</b>\", \"bbox\": [324, 25, 377, 35]}, {\"cell\": \"<b>Test</b>\", \"bbox\": [442, 25, 459, 35]}, {\"cell\": \"<b>Model</b>\", \"bbox\": [40, 35, 63, 45]}, {\"cell\": \"<b>RCCA Measure</b>\", \"bbox\": [124, 35, 179, 45]}, {\"cell\": \"<b>N = 6060</b>\", \"bbox\": [234, 35, 268, 45]}, {\"cell\": \"<b>N = 3841</b>\", \"bbox\": [334, 35, 368, 45]}, {\"cell\": \"<b>N = 2219</b>\", \"bbox\": [433, 35, 468, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [229, 58, 273, 67]}, {\"cell\": \"<b>AUC</b>\", \"bbox\": [341, 58, 360, 67]}, {\"cell\": \"<b>AUC</b>\", \"bbox\": [441, 58, 460, 67]}, {\"cell\": \"1\", \"bbox\": [48, 80, 54, 89]}, {\"cell\": \"IMT\", \"bbox\": [143, 80, 159, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 80, 279, 89]}, {\"cell\": \"0.621\", \"bbox\": [341, 80, 361, 89]}, {\"cell\": \"0.608\", \"bbox\": [440, 80, 461, 89]}, {\"cell\": \"2\", \"bbox\": [48, 90, 54, 100]}, {\"cell\": \"IMT\", \"bbox\": [143, 90, 159, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 90, 279, 100]}, {\"cell\": \"0.682\", \"bbox\": [341, 90, 361, 100]}, {\"cell\": \"0.675\", \"bbox\": [440, 90, 461, 100]}, {\"cell\": \"3\", \"bbox\": [48, 100, 54, 110]}, {\"cell\": \"IMT\", \"bbox\": [143, 100, 159, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 100, 279, 110]}, {\"cell\": \"0.830\", \"bbox\": [341, 100, 361, 110]}, {\"cell\": \"0.805\", \"bbox\": [440, 100, 461, 110]}, {\"cell\": \"1\", \"bbox\": [48, 111, 54, 120]}, {\"cell\": \"diameter\", \"bbox\": [135, 111, 167, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 111, 279, 120]}, {\"cell\": \"0.696\", \"bbox\": [341, 111, 361, 120]}, {\"cell\": \"0.679\", \"bbox\": [440, 111, 461, 120]}, {\"cell\": \"2\", \"bbox\": [48, 121, 54, 130]}, {\"cell\": \"diameter\", \"bbox\": [135, 121, 167, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 121, 279, 130]}, {\"cell\": \"0.724\", \"bbox\": [341, 121, 361, 130]}, {\"cell\": \"0.712\", \"bbox\": [440, 121, 461, 130]}, {\"cell\": \"3\", \"bbox\": [48, 131, 54, 141]}, {\"cell\": \"diameter\", \"bbox\": [135, 131, 167, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 131, 279, 141]}, {\"cell\": \"0.831\", \"bbox\": [341, 131, 361, 141]}, {\"cell\": \"0.812\", \"bbox\": [440, 131, 461, 141]}, {\"cell\": \"1\", \"bbox\": [48, 141, 54, 151]}, {\"cell\": \"Wall area\", \"bbox\": [134, 141, 168, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 141, 279, 151]}, {\"cell\": \"0.680\", \"bbox\": [341, 141, 361, 151]}, {\"cell\": \"0.661\", \"bbox\": [440, 141, 461, 151]}, {\"cell\": \"2\", \"bbox\": [48, 152, 54, 161]}, {\"cell\": \"Wall area\", \"bbox\": [134, 152, 168, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 152, 279, 161]}, {\"cell\": \"0.702\", \"bbox\": [341, 152, 361, 161]}, {\"cell\": \"0.699\", \"bbox\": [440, 152, 461, 161]}, {\"cell\": \"3\", \"bbox\": [48, 162, 54, 171]}, {\"cell\": \"Wall area\", \"bbox\": [134, 162, 168, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 162, 279, 171]}, {\"cell\": \"0.831\", \"bbox\": [341, 162, 361, 171]}, {\"cell\": \"0.808\", \"bbox\": [440, 162, 461, 171]}, {\"cell\": \"Model\", \"bbox\": [40, 184, 63, 194]}, {\"cell\": \"Two Measures\", \"bbox\": [125, 184, 177, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 184, 273, 194]}, {\"cell\": \"Developmental\", \"bbox\": [324, 184, 377, 194]}, {\"cell\": \"Test\", \"bbox\": [442, 184, 459, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AUC\", \"bbox\": [341, 194, 360, 204]}, {\"cell\": \"AUC\", \"bbox\": [441, 194, 460, 204]}, {\"cell\": \"1\", \"bbox\": [48, 217, 54, 226]}, {\"cell\": \"IMT +diameter\", \"bbox\": [135, 217, 167, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 217, 279, 235]}, {\"cell\": \"0.705\", \"bbox\": [341, 217, 361, 226]}, {\"cell\": \"0.674\", \"bbox\": [440, 217, 461, 226]}, {\"cell\": \"2\", \"bbox\": [48, 236, 54, 246]}, {\"cell\": \"IMT +diameter\", \"bbox\": [135, 236, 167, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 236, 279, 255]}, {\"cell\": \"0.724\", \"bbox\": [341, 236, 361, 246]}, {\"cell\": \"0.705\", \"bbox\": [440, 236, 461, 246]}, {\"cell\": \"3\", \"bbox\": [48, 256, 54, 265]}, {\"cell\": \"IMT +diameter\", \"bbox\": [135, 256, 167, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 256, 279, 274]}, {\"cell\": \"0.831\", \"bbox\": [341, 256, 361, 265]}, {\"cell\": \"0.805\", \"bbox\": [440, 256, 461, 265]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1831763_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}823{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>ITT population</b></td><td colspan=\\\"2\\\"><b>PRO-assessed population</b></td></tr><tr><td><b>Variable</b></td><td><b>Liraglutide group</b></td><td><b>Exenatide group</b></td><td><b>Liraglutide group</b></td><td><b>Exenatide group</b></td></tr></thead><tbody><tr><td>Men/women, n</td><td>114/119</td><td>127/104</td><td>[EMPTY_CELL]</td><td>99/88</td></tr><tr><td>Mean (sd) age, years</td><td>56.3 (9.8)</td><td>57.1 (10.8)</td><td>[EMPTY_CELL]</td><td>56.6 (11.1)</td></tr><tr><td>Mean (sd) weight, kg</td><td>93.1 (20.1)</td><td>93.0 (19.5)</td><td>[EMPTY_CELL]</td><td>95.0 (20.4)</td></tr><tr><td>Mean (sd) BMI, kg/m<sup>2</sup></td><td>32.9 (5.5)</td><td>32.9 (5.7)</td><td>[EMPTY_CELL]</td><td>33.5 (5.7)</td></tr><tr><td>Mean (sd) duration of diabetes, years</td><td>8.5 (6.2)</td><td>7.9 (5.9)</td><td>[EMPTY_CELL]</td><td>7.6 (5.9)</td></tr><tr><td>Mean (sd) HbA<sub>1c</sub>, %</td><td>8.2 (1.0)</td><td>8.1 (1.0)</td><td>[EMPTY_CELL]</td><td>8.1 (1.0)</td></tr><tr><td colspan=\\\"5\\\">Previous anti-diabetic treatment, <i>n</i></td></tr><tr><td> Metformin</td><td>64</td><td>63</td><td>[EMPTY_CELL]</td><td>57</td></tr><tr><td> Sulphonylurea</td><td>24</td><td>21</td><td>[EMPTY_CELL]</td><td>14</td></tr><tr><td> Metformin + sulphonylurea</td><td>145</td><td>147</td><td>[EMPTY_CELL]</td><td>116</td></tr><tr><td>Mean (sd) fasting blood glucose, mmol/l</td><td>9.8 (2.5)</td><td>9.5 (2.4)</td><td>[EMPTY_CELL]</td><td>9.6 (2.5)</td></tr><tr><td>DTSQs score</td><td>NA</td><td>NA</td><td>[EMPTY_CELL]</td><td>27.6</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ITT population</b>\", \"bbox\": [159, 7, 211, 17]}, {\"cell\": \"<b>PRO-assessed population</b>\", \"bbox\": [317, 7, 401, 17]}, {\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 22, 30, 31]}, {\"cell\": \"<b>Liraglutide group</b>\", \"bbox\": [159, 22, 218, 31]}, {\"cell\": \"<b>Exenatide group</b>\", \"bbox\": [240, 22, 295, 31]}, {\"cell\": \"<b>Liraglutide group</b>\", \"bbox\": [317, 22, 376, 31]}, {\"cell\": \"<b>Exenatide group</b>\", \"bbox\": [397, 22, 453, 31]}, {\"cell\": \"Men/women, n\", \"bbox\": [1, 41, 54, 51]}, {\"cell\": \"114/119\", \"bbox\": [159, 41, 190, 51]}, {\"cell\": \"127/104\", \"bbox\": [240, 41, 270, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 41, 339, 51]}, {\"cell\": \"99/88\", \"bbox\": [397, 41, 420, 51]}, {\"cell\": \"Mean (sd) age, years\", \"bbox\": [0, 51, 71, 61]}, {\"cell\": \"56.3 (9.8)\", \"bbox\": [159, 51, 193, 61]}, {\"cell\": \"57.1 (10.8)\", \"bbox\": [240, 51, 278, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 51, 355, 61]}, {\"cell\": \"56.6 (11.1)\", \"bbox\": [397, 51, 436, 61]}, {\"cell\": \"Mean (sd) weight, kg\", \"bbox\": [0, 61, 73, 71]}, {\"cell\": \"93.1 (20.1)\", \"bbox\": [159, 61, 197, 71]}, {\"cell\": \"93.0 (19.5)\", \"bbox\": [240, 61, 278, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 61, 355, 71]}, {\"cell\": \"95.0 (20.4)\", \"bbox\": [397, 61, 436, 71]}, {\"cell\": \"Mean (sd) BMI, kg/m<sup>2</sup>\", \"bbox\": [0, 70, 79, 81]}, {\"cell\": \"32.9 (5.5)\", \"bbox\": [159, 71, 193, 81]}, {\"cell\": \"32.9 (5.7)\", \"bbox\": [240, 71, 274, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 71, 351, 81]}, {\"cell\": \"33.5 (5.7)\", \"bbox\": [397, 71, 432, 81]}, {\"cell\": \"Mean (sd) duration of diabetes, years\", \"bbox\": [1, 81, 126, 91]}, {\"cell\": \"8.5 (6.2)\", \"bbox\": [159, 81, 189, 91]}, {\"cell\": \"7.9 (5.9)\", \"bbox\": [240, 81, 270, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 81, 347, 91]}, {\"cell\": \"7.6 (5.9)\", \"bbox\": [397, 81, 427, 91]}, {\"cell\": \"Mean (sd) HbA<sub>1c</sub>, %\", \"bbox\": [1, 91, 72, 101]}, {\"cell\": \"8.2 (1.0)\", \"bbox\": [159, 91, 189, 101]}, {\"cell\": \"8.1 (1.0)\", \"bbox\": [240, 91, 270, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 91, 347, 101]}, {\"cell\": \"8.1 (1.0)\", \"bbox\": [397, 91, 427, 101]}, {\"cell\": \"Previous anti-diabetic treatment, <i>n</i>\", \"bbox\": [1, 101, 115, 110]}, {\"cell\": \" Metformin\", \"bbox\": [8, 111, 45, 120]}, {\"cell\": \"64\", \"bbox\": [159, 111, 169, 120]}, {\"cell\": \"63\", \"bbox\": [240, 111, 250, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 111, 327, 120]}, {\"cell\": \"57\", \"bbox\": [397, 111, 408, 120]}, {\"cell\": \" Sulphonylurea\", \"bbox\": [8, 121, 56, 130]}, {\"cell\": \"24\", \"bbox\": [159, 121, 169, 130]}, {\"cell\": \"21\", \"bbox\": [240, 121, 250, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 121, 327, 130]}, {\"cell\": \"14\", \"bbox\": [397, 121, 408, 130]}, {\"cell\": \" Metformin + sulphonylurea\", \"bbox\": [8, 131, 100, 140]}, {\"cell\": \"145\", \"bbox\": [159, 131, 173, 140]}, {\"cell\": \"147\", \"bbox\": [240, 131, 254, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 131, 331, 140]}, {\"cell\": \"116\", \"bbox\": [397, 131, 412, 140]}, {\"cell\": \"Mean (sd) fasting blood glucose, mmol/l\", \"bbox\": [1, 141, 137, 150]}, {\"cell\": \"9.8 (2.5)\", \"bbox\": [159, 141, 189, 150]}, {\"cell\": \"9.5 (2.4)\", \"bbox\": [240, 141, 270, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 141, 347, 150]}, {\"cell\": \"9.6 (2.5)\", \"bbox\": [397, 141, 427, 150]}, {\"cell\": \"DTSQs score\", \"bbox\": [0, 151, 45, 160]}, {\"cell\": \"NA\", \"bbox\": [159, 151, 172, 160]}, {\"cell\": \"NA\", \"bbox\": [240, 151, 253, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [317, 151, 333, 160]}, {\"cell\": \"27.6\", \"bbox\": [397, 151, 414, 160]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3123703_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}824{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Individual name (mm TL)</b></td><td><b>Shape of urogenital papilla at start</b></td><td><b>Date of spawning</b></td><td><b>Sex role</b></td><td><b>Exchange</b></td><td><b>Individual name</b></td><td><b>Shape of urogenital papilla at end</b></td><td><b>Gonad histology</b></td></tr></thead><tbody><tr><td>Tom1 (23.0)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">June 30</td><td>Male</td><td rowspan=\\\"4\\\">Pairing with the same sex</td><td>Tom1</td><td>Tapered</td><td>Testis</td></tr><tr><td>Tom2 (22.0)</td><td>[EMPTY_CELL]</td><td>Female</td><td>Tom3</td><td>Tapered</td><td>Testis</td></tr><tr><td>Tom3 (23.0)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">July 30</td><td>Male</td><td>Tom2</td><td>Bulbous</td><td>Ovary</td></tr><tr><td>Tom4 (20.5)</td><td>[EMPTY_CELL]</td><td>Female</td><td>Tom4</td><td>Bulbous</td><td>Ovary</td></tr><tr><td>Tom5 (28.0)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">May 30</td><td>Male</td><td rowspan=\\\"4\\\">Pairing with the same sex</td><td>Tom5</td><td>Tapered</td><td>Testis</td></tr><tr><td>Tom6 (28.0)</td><td>[EMPTY_CELL]</td><td>Female</td><td>Tom7</td><td>Tapered</td><td>Testis</td></tr><tr><td>Tom7 (25.0)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">June 2</td><td>Male</td><td>Tom6</td><td>Bulbous</td><td>Ovary</td></tr><tr><td>Tom8 (24.0)</td><td>[EMPTY_CELL]</td><td>Female</td><td>Tom8</td><td>Bulbous</td><td>Ovary</td></tr><tr><td>Tom9 (24.0)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">July 21</td><td>Male</td><td rowspan=\\\"4\\\">Pairing with the same sex</td><td>Tom9</td><td>Tapered</td><td>Testis</td></tr><tr><td>Tom10 (24.0)</td><td>[EMPTY_CELL]</td><td>Female</td><td>Tom11</td><td>Tapered</td><td>Testis</td></tr><tr><td>Tom11 (22.0)</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">July 25</td><td>Male</td><td>Tom10</td><td>Bulbous</td><td>Ovary</td></tr><tr><td>Tom12 (23.0)</td><td>[EMPTY_CELL]</td><td>Female</td><td>Tom12</td><td>Bulbous</td><td>Ovary</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Individual name (mm TL)</b>\", \"bbox\": [1, 8, 56, 28]}, {\"cell\": \"<b>Shape of urogenital papilla at start</b>\", \"bbox\": [66, 8, 132, 28]}, {\"cell\": \"<b>Date of spawning</b>\", \"bbox\": [142, 8, 176, 28]}, {\"cell\": \"<b>Sex role</b>\", \"bbox\": [186, 8, 215, 18]}, {\"cell\": \"<b>Exchange</b>\", \"bbox\": [225, 8, 259, 18]}, {\"cell\": \"<b>Individual name</b>\", \"bbox\": [321, 8, 377, 18]}, {\"cell\": \"<b>Shape of urogenital papilla at end</b>\", \"bbox\": [387, 8, 453, 28]}, {\"cell\": \"<b>Gonad histology</b>\", \"bbox\": [463, 8, 496, 28]}, {\"cell\": \"Tom1 (23.0)\", \"bbox\": [0, 38, 44, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 38, 94, 48]}, {\"cell\": \"June 30\", \"bbox\": [142, 38, 170, 48]}, {\"cell\": \"Male\", \"bbox\": [186, 38, 205, 48]}, {\"cell\": \"Pairing with the same sex\", \"bbox\": [225, 38, 312, 48]}, {\"cell\": \"Tom1\", \"bbox\": [321, 38, 343, 48]}, {\"cell\": \"Tapered\", \"bbox\": [387, 38, 415, 48]}, {\"cell\": \"Testis\", \"bbox\": [463, 38, 484, 48]}, {\"cell\": \"Tom2 (22.0)\", \"bbox\": [0, 51, 44, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 51, 96, 61]}, {\"cell\": \"Female\", \"bbox\": [186, 51, 212, 61]}, {\"cell\": \"Tom3\", \"bbox\": [321, 51, 343, 61]}, {\"cell\": \"Tapered\", \"bbox\": [387, 51, 415, 61]}, {\"cell\": \"Testis\", \"bbox\": [463, 51, 484, 61]}, {\"cell\": \"Tom3 (23.0)\", \"bbox\": [0, 64, 44, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 64, 94, 74]}, {\"cell\": \"July 30\", \"bbox\": [142, 64, 169, 74]}, {\"cell\": \"Male\", \"bbox\": [186, 64, 205, 74]}, {\"cell\": \"Tom2\", \"bbox\": [321, 64, 343, 74]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 64, 417, 74]}, {\"cell\": \"Ovary\", \"bbox\": [463, 64, 486, 74]}, {\"cell\": \"Tom4 (20.5)\", \"bbox\": [0, 77, 44, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 77, 96, 86]}, {\"cell\": \"Female\", \"bbox\": [186, 77, 212, 86]}, {\"cell\": \"Tom4\", \"bbox\": [321, 77, 343, 86]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 77, 417, 86]}, {\"cell\": \"Ovary\", \"bbox\": [463, 77, 486, 86]}, {\"cell\": \"Tom5 (28.0)\", \"bbox\": [0, 89, 44, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 89, 94, 99]}, {\"cell\": \"May 30\", \"bbox\": [142, 89, 170, 99]}, {\"cell\": \"Male\", \"bbox\": [186, 89, 205, 99]}, {\"cell\": \"Pairing with the same sex\", \"bbox\": [225, 89, 312, 99]}, {\"cell\": \"Tom5\", \"bbox\": [321, 89, 343, 99]}, {\"cell\": \"Tapered\", \"bbox\": [387, 89, 415, 99]}, {\"cell\": \"Testis\", \"bbox\": [463, 89, 484, 99]}, {\"cell\": \"Tom6 (28.0)\", \"bbox\": [0, 102, 44, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 102, 96, 112]}, {\"cell\": \"Female\", \"bbox\": [186, 102, 212, 112]}, {\"cell\": \"Tom7\", \"bbox\": [321, 102, 343, 112]}, {\"cell\": \"Tapered\", \"bbox\": [387, 102, 415, 112]}, {\"cell\": \"Testis\", \"bbox\": [463, 102, 484, 112]}, {\"cell\": \"Tom7 (25.0)\", \"bbox\": [0, 115, 44, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 115, 94, 124]}, {\"cell\": \"June 2\", \"bbox\": [142, 115, 166, 124]}, {\"cell\": \"Male\", \"bbox\": [186, 115, 205, 124]}, {\"cell\": \"Tom6\", \"bbox\": [321, 115, 343, 124]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 115, 417, 124]}, {\"cell\": \"Ovary\", \"bbox\": [463, 115, 486, 124]}, {\"cell\": \"Tom8 (24.0)\", \"bbox\": [0, 127, 44, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 127, 96, 137]}, {\"cell\": \"Female\", \"bbox\": [186, 127, 212, 137]}, {\"cell\": \"Tom8\", \"bbox\": [321, 127, 343, 137]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 127, 417, 137]}, {\"cell\": \"Ovary\", \"bbox\": [463, 127, 486, 137]}, {\"cell\": \"Tom9 (24.0)\", \"bbox\": [0, 140, 44, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 140, 94, 150]}, {\"cell\": \"July 21\", \"bbox\": [142, 140, 169, 150]}, {\"cell\": \"Male\", \"bbox\": [186, 140, 205, 150]}, {\"cell\": \"Pairing with the same sex\", \"bbox\": [225, 140, 312, 150]}, {\"cell\": \"Tom9\", \"bbox\": [321, 140, 343, 150]}, {\"cell\": \"Tapered\", \"bbox\": [387, 140, 415, 150]}, {\"cell\": \"Testis\", \"bbox\": [463, 140, 484, 150]}, {\"cell\": \"Tom10 (24.0)\", \"bbox\": [0, 153, 48, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 153, 96, 163]}, {\"cell\": \"Female\", \"bbox\": [186, 153, 212, 163]}, {\"cell\": \"Tom11\", \"bbox\": [321, 153, 347, 163]}, {\"cell\": \"Tapered\", \"bbox\": [387, 153, 415, 163]}, {\"cell\": \"Testis\", \"bbox\": [463, 153, 484, 163]}, {\"cell\": \"Tom11 (22.0)\", \"bbox\": [0, 166, 48, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 166, 94, 175]}, {\"cell\": \"July 25\", \"bbox\": [142, 166, 169, 175]}, {\"cell\": \"Male\", \"bbox\": [186, 166, 205, 175]}, {\"cell\": \"Tom10\", \"bbox\": [321, 166, 347, 175]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 166, 417, 175]}, {\"cell\": \"Ovary\", \"bbox\": [463, 166, 486, 175]}, {\"cell\": \"Tom12 (23.0)\", \"bbox\": [0, 178, 48, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [66, 178, 96, 188]}, {\"cell\": \"Female\", \"bbox\": [186, 178, 212, 188]}, {\"cell\": \"Tom12\", \"bbox\": [321, 178, 347, 188]}, {\"cell\": \"Bulbous\", \"bbox\": [387, 178, 417, 188]}, {\"cell\": \"Ovary\", \"bbox\": [463, 178, 486, 188]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5332495_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}825{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Term</b></td><td><b>Explanation</b></td></tr></thead><tbody><tr><td>Coral bleaching</td><td>[EMPTY_CELL]</td></tr><tr><td>Calcification</td><td>[EMPTY_CELL]</td></tr><tr><td>Corals</td><td>[EMPTY_CELL]</td></tr><tr><td>Counter-gradient variation</td><td>[EMPTY_CELL]</td></tr><tr><td>Genetic assimilation</td><td>[EMPTY_CELL]</td></tr><tr><td>Holobiont</td><td>[EMPTY_CELL]</td></tr><tr><td>Macroalgae</td><td>[EMPTY_CELL]</td></tr><tr><td>Metapopulation</td><td>[EMPTY_CELL]</td></tr><tr><td>Ocean acidification</td><td>[EMPTY_CELL]</td></tr><tr><td>Phenotypic buffering</td><td>[EMPTY_CELL]</td></tr><tr><td>Phytoplankton</td><td>[EMPTY_CELL]</td></tr><tr><td>Planktotrophic</td><td>[EMPTY_CELL]</td></tr><tr><td>Seagrasses</td><td>[EMPTY_CELL]</td></tr><tr><td>Selection for opportunity</td><td>[EMPTY_CELL]</td></tr><tr><td>Symbiont</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Term</b>\", \"bbox\": [1, 7, 19, 16]}, {\"cell\": \"<b>Explanation</b>\", \"bbox\": [93, 7, 131, 16]}, {\"cell\": \"Coral bleaching\", \"bbox\": [1, 24, 52, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 24, 419, 44]}, {\"cell\": \"Calcification\", \"bbox\": [1, 45, 41, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 45, 473, 55]}, {\"cell\": \"Corals\", \"bbox\": [1, 56, 22, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 56, 417, 76]}, {\"cell\": \"Counter-gradient variation\", \"bbox\": [1, 77, 58, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 77, 398, 96]}, {\"cell\": \"Genetic assimilation\", \"bbox\": [1, 98, 66, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 98, 423, 117]}, {\"cell\": \"Holobiont\", \"bbox\": [1, 119, 34, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 119, 386, 138]}, {\"cell\": \"Macroalgae\", \"bbox\": [1, 139, 40, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 139, 449, 159]}, {\"cell\": \"Metapopulation\", \"bbox\": [1, 160, 53, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 160, 437, 170]}, {\"cell\": \"Ocean acidification\", \"bbox\": [1, 171, 63, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 171, 465, 180]}, {\"cell\": \"Phenotypic buffering\", \"bbox\": [1, 181, 69, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 181, 460, 201]}, {\"cell\": \"Phytoplankton\", \"bbox\": [1, 202, 48, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 202, 462, 222]}, {\"cell\": \"Planktotrophic\", \"bbox\": [1, 223, 48, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 223, 442, 243]}, {\"cell\": \"Seagrasses\", \"bbox\": [1, 244, 36, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 244, 364, 253]}, {\"cell\": \"Selection for opportunity\", \"bbox\": [1, 255, 81, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 255, 463, 274]}, {\"cell\": \"Symbiont\", \"bbox\": [1, 275, 32, 285]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 275, 451, 295]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3894901_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}826{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Parameters</b></td><td><b>Group I</b></td><td><b>Group II</b></td><td><b>Group III</b></td><td><b>Group IV</b></td><td><b>Group V</b></td></tr><tr><td><b>(<i>n</i>: 31)</b></td><td><b>(<i>n</i>: 28)</b></td><td><b>(<i>n</i>: 31)</b></td><td><b>(<i>n</i>: 30)</b></td><td><b>(<i>n</i>: 30)</b></td></tr><tr><td><b>(16 F, 15 M)</b></td><td><b>(14 F, 14 M)</b></td><td><b>(16 F, 15 M)</b></td><td><b>(15 F, 15 M)</b></td><td><b>(15 F, 15 M)</b></td></tr></thead><tbody><tr><td>Age (years)</td><td>28.8 ± 16.2</td><td>[EMPTY_CELL]</td><td>55.2 ± 12.8<sup>a,c</sup></td><td>52.06 ± 15.2<sup>c</sup></td><td>45.8 ± 12.8<sup>c</sup></td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>17.6 ± 0.8</td><td>[EMPTY_CELL]</td><td>27.4 ± 2.1<sup>c</sup></td><td>34.9 ± 2.46<sup>c</sup></td><td>44.8 ± 4.2<sup>c</sup></td></tr><tr><td>Glucose (mg/dL) in hunger</td><td>89.8 ± 33.2</td><td>[EMPTY_CELL]</td><td>202.07 ± 9.9<sup>a,c</sup></td><td>192.2 ± 29.6<sup>c</sup></td><td>149.9 ± 9.7</td></tr><tr><td>Insulin (<i>μ</i>U/mL) in hunger </td><td>14.1 ± 11.2</td><td>[EMPTY_CELL]</td><td>20.3 ± 2.4</td><td>16.5 ± 8.8</td><td>19.7 ± 1.8</td></tr><tr><td>HOMA-IR</td><td>3.3 ± 3.1</td><td>[EMPTY_CELL]</td><td>9.8 ± 11.1</td><td>7.9 ± 7.7</td><td>8.4 ± 12.0</td></tr><tr><td>Total cholesterol (mg/dL)</td><td>159.7 ± 44.2</td><td>[EMPTY_CELL]</td><td>207.0 ± 61.5<sup>b</sup></td><td>210.3 ± 52.7<sup>c</sup></td><td>184.7 ± 42.6</td></tr><tr><td>LDL (mg/dL)</td><td>93.0 ± 33.3</td><td>[EMPTY_CELL]</td><td>133.7 ± 41.4<sup>c</sup></td><td>139.0 ± 37.3<sup>c</sup></td><td>122.3 ± 34.7<sup>a</sup></td></tr><tr><td>HDL (mg/dL)</td><td>48.4 ± 14.5</td><td>[EMPTY_CELL]</td><td>49.4 ± 18.8</td><td>52.2 ± 22.5</td><td>50.06 ± 17.5</td></tr><tr><td>VLDL (mg/dL)</td><td>17.2 ± 10.1</td><td>[EMPTY_CELL]</td><td>42.8 ± 4.6</td><td>43.9 ± 3.2</td><td>37.8 ± 2.2</td></tr><tr><td>TG (mg/dL)</td><td>91.9 ± 5.5</td><td>[EMPTY_CELL]</td><td>208.0 ± 22.8.4<sup>a</sup></td><td>219.7 ± 17.04<sup>a,b</sup></td><td>182 ± 11.9</td></tr><tr><td>AST (U/l)</td><td>22.6 ± 10.8</td><td>[EMPTY_CELL]</td><td>21 ± 5.5</td><td>30.3 ± 3.9</td><td>25.7 ± 1.7</td></tr><tr><td>ALT (U/l)</td><td>16.5 ± 6.5</td><td>[EMPTY_CELL]</td><td>22.1 ± 5.5</td><td>31.2 ± 3.2</td><td>37 ± 51.9<sup>a</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameters</b>\", \"bbox\": [2, 15, 45, 26]}, {\"cell\": \"<b>Group I</b>\", \"bbox\": [135, 4, 166, 15]}, {\"cell\": \"<b>Group II</b>\", \"bbox\": [209, 4, 243, 15]}, {\"cell\": \"<b>Group III</b>\", \"bbox\": [288, 4, 325, 15]}, {\"cell\": \"<b>Group IV</b>\", \"bbox\": [374, 4, 410, 15]}, {\"cell\": \"<b>Group V</b>\", \"bbox\": [457, 4, 491, 15]}, {\"cell\": \"<b>(<i>n</i>: 31)</b>\", \"bbox\": [138, 13, 162, 29]}, {\"cell\": \"<b>(<i>n</i>: 28)</b>\", \"bbox\": [213, 13, 239, 29]}, {\"cell\": \"<b>(<i>n</i>: 31)</b>\", \"bbox\": [294, 13, 318, 29]}, {\"cell\": \"<b>(<i>n</i>: 30)</b>\", \"bbox\": [379, 13, 405, 29]}, {\"cell\": \"<b>(<i>n</i>: 30)</b>\", \"bbox\": [462, 13, 487, 29]}, {\"cell\": \"<b>(16 F, 15 M)</b>\", \"bbox\": [129, 29, 172, 39]}, {\"cell\": \"<b>(14 F, 14 M)</b>\", \"bbox\": [205, 29, 247, 39]}, {\"cell\": \"<b>(16 F, 15 M)</b>\", \"bbox\": [285, 29, 328, 39]}, {\"cell\": \"<b>(15 F, 15 M)</b>\", \"bbox\": [371, 29, 413, 39]}, {\"cell\": \"<b>(15 F, 15 M)</b>\", \"bbox\": [453, 29, 496, 39]}, {\"cell\": \"Age (years)\", \"bbox\": [2, 42, 45, 52]}, {\"cell\": \"28.8 ± 16.2\", \"bbox\": [130, 38, 171, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 38, 248, 54]}, {\"cell\": \"55.2 ± 12.8<sup>a,c</sup>\", \"bbox\": [282, 38, 330, 54]}, {\"cell\": \"52.06 ± 15.2<sup>c</sup>\", \"bbox\": [368, 38, 416, 54]}, {\"cell\": \"45.8 ± 12.8<sup>c</sup>\", \"bbox\": [452, 38, 496, 54]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [2, 52, 51, 65]}, {\"cell\": \"17.6 ± 0.8\", \"bbox\": [132, 51, 169, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [206, 51, 245, 66]}, {\"cell\": \"27.4 ± 2.1<sup>c</sup>\", \"bbox\": [286, 51, 326, 66]}, {\"cell\": \"34.9 ± 2.46<sup>c</sup>\", \"bbox\": [370, 51, 413, 66]}, {\"cell\": \"44.8 ± 4.2<sup>c</sup>\", \"bbox\": [454, 51, 494, 66]}, {\"cell\": \"Glucose (mg/dL) in hunger\", \"bbox\": [2, 67, 102, 77]}, {\"cell\": \"89.8 ± 33.2\", \"bbox\": [130, 63, 171, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 63, 249, 79]}, {\"cell\": \"202.07 ± 9.9<sup>a,c</sup>\", \"bbox\": [280, 63, 332, 79]}, {\"cell\": \"192.2 ± 29.6<sup>c</sup>\", \"bbox\": [368, 63, 416, 79]}, {\"cell\": \"149.9 ± 9.7\", \"bbox\": [454, 63, 495, 79]}, {\"cell\": \"Insulin (<i>μ</i>U/mL) in hunger \", \"bbox\": [2, 76, 102, 91]}, {\"cell\": \"14.1 ± 11.2\", \"bbox\": [130, 76, 171, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 76, 244, 91]}, {\"cell\": \"20.3 ± 2.4\", \"bbox\": [288, 76, 325, 91]}, {\"cell\": \"16.5 ± 8.8\", \"bbox\": [373, 76, 410, 91]}, {\"cell\": \"19.7 ± 1.8\", \"bbox\": [456, 76, 493, 91]}, {\"cell\": \"HOMA-IR\", \"bbox\": [2, 91, 43, 102]}, {\"cell\": \"3.3 ± 3.1\", \"bbox\": [134, 88, 167, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 88, 244, 104]}, {\"cell\": \"9.8 ± 11.1\", \"bbox\": [288, 88, 325, 104]}, {\"cell\": \"7.9 ± 7.7\", \"bbox\": [376, 88, 408, 104]}, {\"cell\": \"8.4 ± 12.0\", \"bbox\": [456, 88, 493, 104]}, {\"cell\": \"Total cholesterol (mg/dL)\", \"bbox\": [2, 104, 95, 115]}, {\"cell\": \"159.7 ± 44.2\", \"bbox\": [128, 101, 173, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 101, 249, 116]}, {\"cell\": \"207.0 ± 61.5<sup>b</sup>\", \"bbox\": [282, 101, 330, 116]}, {\"cell\": \"210.3 ± 52.7<sup>c</sup>\", \"bbox\": [368, 101, 416, 116]}, {\"cell\": \"184.7 ± 42.6\", \"bbox\": [452, 101, 497, 116]}, {\"cell\": \"LDL (mg/dL)\", \"bbox\": [2, 116, 53, 127]}, {\"cell\": \"93.0 ± 33.3\", \"bbox\": [130, 113, 171, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 113, 249, 129]}, {\"cell\": \"133.7 ± 41.4<sup>c</sup>\", \"bbox\": [282, 113, 330, 129]}, {\"cell\": \"139.0 ± 37.3<sup>c</sup>\", \"bbox\": [368, 113, 416, 129]}, {\"cell\": \"122.3 ± 34.7<sup>a</sup>\", \"bbox\": [450, 113, 498, 129]}, {\"cell\": \"HDL (mg/dL)\", \"bbox\": [2, 129, 55, 139]}, {\"cell\": \"48.4 ± 14.5\", \"bbox\": [130, 126, 171, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 126, 247, 141]}, {\"cell\": \"49.4 ± 18.8\", \"bbox\": [286, 126, 327, 141]}, {\"cell\": \"52.2 ± 22.5\", \"bbox\": [371, 126, 412, 141]}, {\"cell\": \"50.06 ± 17.5\", \"bbox\": [452, 126, 497, 141]}, {\"cell\": \"VLDL (mg/dL)\", \"bbox\": [2, 141, 59, 152]}, {\"cell\": \"17.2 ± 10.1\", \"bbox\": [130, 138, 171, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 138, 244, 153]}, {\"cell\": \"42.8 ± 4.6\", \"bbox\": [288, 138, 325, 153]}, {\"cell\": \"43.9 ± 3.2\", \"bbox\": [373, 138, 410, 153]}, {\"cell\": \"37.8 ± 2.2\", \"bbox\": [456, 138, 493, 153]}, {\"cell\": \"TG (mg/dL)\", \"bbox\": [2, 154, 48, 164]}, {\"cell\": \"91.9 ± 5.5\", \"bbox\": [132, 150, 169, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 150, 248, 166]}, {\"cell\": \"208.0 ± 22.8.4<sup>a</sup>\", \"bbox\": [279, 150, 333, 166]}, {\"cell\": \"219.7 ± 17.04<sup>a,b</sup>\", \"bbox\": [363, 150, 420, 166]}, {\"cell\": \"182 ± 11.9\", \"bbox\": [455, 150, 494, 166]}, {\"cell\": \"AST (U/l)\", \"bbox\": [2, 166, 40, 177]}, {\"cell\": \"22.6 ± 10.8\", \"bbox\": [130, 163, 171, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 163, 244, 178]}, {\"cell\": \"21 ± 5.5\", \"bbox\": [291, 163, 322, 178]}, {\"cell\": \"30.3 ± 3.9\", \"bbox\": [373, 163, 410, 178]}, {\"cell\": \"25.7 ± 1.7\", \"bbox\": [456, 163, 493, 178]}, {\"cell\": \"ALT (U/l)\", \"bbox\": [2, 179, 41, 189]}, {\"cell\": \"16.5 ± 6.5\", \"bbox\": [132, 175, 169, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 175, 244, 191]}, {\"cell\": \"22.1 ± 5.5\", \"bbox\": [288, 175, 325, 191]}, {\"cell\": \"31.2 ± 3.2\", \"bbox\": [373, 175, 410, 191]}, {\"cell\": \"37 ± 51.9<sup>a</sup>\", \"bbox\": [455, 175, 493, 191]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3858877_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}827{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Total N=249</b></td><td><b>Accepted HIV test n=190</b></td><td><b>Declined HIV test n=59</b></td><td><b>p</b></td></tr></thead><tbody><tr><td><b>Argentinean, n (%)</b></td><td>188 (78.3)</td><td>[EMPTY_CELL]</td><td>41 (82)</td><td>0.56</td></tr><tr><td><b>Age in years, median (IQR)</b></td><td>58 (45–69)</td><td>[EMPTY_CELL]</td><td>65 (49–76)</td><td><b>0.004</b></td></tr><tr><td><b>Men, n (%)</b></td><td>118 (47.4)</td><td>[EMPTY_CELL]</td><td>28 (47.5)</td><td>0.99</td></tr><tr><td><b>Self-reported heterosexual, n (%)</b></td><td>240 (100)</td><td>[EMPTY_CELL]</td><td>51 (100)</td><td>1</td></tr><tr><td><b>Use of illicit drugs, n (%)</b></td><td>21 (8.8)</td><td>[EMPTY_CELL]</td><td>2 (4)</td><td>0.26</td></tr><tr><td><b>Completed high school, n (%)</b></td><td>82 (34.3)</td><td>[EMPTY_CELL]</td><td>14 (28)</td><td>0.29</td></tr><tr><td><b>Medical insurance, n (%)</b></td><td>88 (36.5)</td><td>[EMPTY_CELL]</td><td>25 (49)</td><td><b>0.04</b></td></tr><tr><td><b>Employed, n (%)</b></td><td>102 (42.3)</td><td>[EMPTY_CELL]</td><td>19 (37.2)</td><td>0.41</td></tr><tr><td><b>Stable relationship, n (%)</b></td><td>126 (54.6)</td><td>[EMPTY_CELL]</td><td>29 (60.4)</td><td>0.36</td></tr><tr><td><b>Previous HIV test, n (%)</b></td><td>88 (38.9)</td><td>[EMPTY_CELL]</td><td>18 (39.1)</td><td>0.98</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total N=249</b>\", \"bbox\": [175, 14, 214, 26]}, {\"cell\": \"<b>Accepted HIV test n=190</b>\", \"bbox\": [236, 14, 313, 26]}, {\"cell\": \"<b>Declined HIV test n=59</b>\", \"bbox\": [358, 14, 430, 26]}, {\"cell\": \"<b>p</b>\", \"bbox\": [471, 14, 477, 26]}, {\"cell\": \"<b>Argentinean, n (%)</b>\", \"bbox\": [1, 26, 60, 37]}, {\"cell\": \"188 (78.3)\", \"bbox\": [175, 26, 207, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 26, 267, 37]}, {\"cell\": \"41 (82)\", \"bbox\": [358, 26, 381, 37]}, {\"cell\": \"0.56\", \"bbox\": [471, 26, 486, 37]}, {\"cell\": \"<b>Age in years, median (IQR)</b>\", \"bbox\": [1, 37, 85, 48]}, {\"cell\": \"58 (45–69)\", \"bbox\": [175, 37, 208, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 37, 269, 48]}, {\"cell\": \"65 (49–76)\", \"bbox\": [358, 37, 391, 48]}, {\"cell\": \"<b>0.004</b>\", \"bbox\": [471, 37, 489, 48]}, {\"cell\": \"<b>Men, n (%)</b>\", \"bbox\": [1, 48, 35, 59]}, {\"cell\": \"118 (47.4)\", \"bbox\": [175, 48, 207, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 48, 264, 59]}, {\"cell\": \"28 (47.5)\", \"bbox\": [358, 48, 386, 59]}, {\"cell\": \"0.99\", \"bbox\": [471, 48, 486, 59]}, {\"cell\": \"<b>Self-reported heterosexual, n (%)</b>\", \"bbox\": [1, 59, 104, 70]}, {\"cell\": \"240 (100)\", \"bbox\": [175, 59, 205, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 59, 265, 70]}, {\"cell\": \"51 (100)\", \"bbox\": [358, 59, 384, 70]}, {\"cell\": \"1\", \"bbox\": [471, 59, 477, 70]}, {\"cell\": \"<b>Use of illicit drugs, n (%)</b>\", \"bbox\": [1, 70, 78, 81]}, {\"cell\": \"21 (8.8)\", \"bbox\": [175, 70, 199, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 70, 264, 81]}, {\"cell\": \"2 (4)\", \"bbox\": [358, 70, 373, 81]}, {\"cell\": \"0.26\", \"bbox\": [471, 70, 486, 81]}, {\"cell\": \"<b>Completed high school, n (%)</b>\", \"bbox\": [1, 81, 94, 92]}, {\"cell\": \"82 (34.3)\", \"bbox\": [175, 81, 203, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 81, 258, 92]}, {\"cell\": \"14 (28)\", \"bbox\": [358, 81, 381, 92]}, {\"cell\": \"0.29\", \"bbox\": [471, 81, 486, 92]}, {\"cell\": \"<b>Medical insurance, n (%)</b>\", \"bbox\": [1, 92, 78, 103]}, {\"cell\": \"88 (36.5)\", \"bbox\": [175, 92, 203, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 92, 264, 103]}, {\"cell\": \"25 (49)\", \"bbox\": [358, 92, 381, 103]}, {\"cell\": \"<b>0.04</b>\", \"bbox\": [471, 92, 486, 103]}, {\"cell\": \"<b>Employed, n (%)</b>\", \"bbox\": [1, 103, 53, 114]}, {\"cell\": \"102 (42.3)\", \"bbox\": [175, 103, 207, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 103, 264, 114]}, {\"cell\": \"19 (37.2)\", \"bbox\": [358, 103, 386, 114]}, {\"cell\": \"0.41\", \"bbox\": [471, 103, 486, 114]}, {\"cell\": \"<b>Stable relationship, n (%)</b>\", \"bbox\": [1, 114, 80, 125]}, {\"cell\": \"126 (54.6)\", \"bbox\": [175, 114, 207, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 114, 258, 125]}, {\"cell\": \"29 (60.4)\", \"bbox\": [358, 114, 386, 125]}, {\"cell\": \"0.36\", \"bbox\": [471, 114, 486, 125]}, {\"cell\": \"<b>Previous HIV test, n (%)</b>\", \"bbox\": [1, 125, 75, 136]}, {\"cell\": \"88 (38.9)\", \"bbox\": [175, 125, 203, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [236, 125, 264, 136]}, {\"cell\": \"18 (39.1)\", \"bbox\": [358, 125, 386, 136]}, {\"cell\": \"0.98\", \"bbox\": [471, 125, 486, 136]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3729969_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}828{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Pt. #</b></td><td><b>Chr</b></td><td><b>Band</b></td><td><b>Start pos.</b></td><td><b>End pos.</b></td><td><b>Gain/Loss</b></td><td><b>Size</b></td><td><b># of BACs</b></td><td><b># of Oligos</b></td><td><b>Inheritance</b></td></tr></thead><tbody><tr><td><b>22365</b></td><td>chr9</td><td>p23</td><td>9,881,385</td><td>9,984,838</td><td>Loss</td><td>103,453</td><td>[EMPTY_CELL]</td><td>15</td><td>Paternal</td></tr><tr><td><b>21702</b></td><td>chr16</td><td>p12.2</td><td>21,486,897</td><td>21,641,890</td><td>Loss</td><td>154,993</td><td>[EMPTY_CELL]</td><td>16</td><td>Paternal</td></tr><tr><td><b>21883</b></td><td>chr16</td><td>p12.1</td><td>21,974,396</td><td>22,338,234</td><td>Gain</td><td>363,838</td><td>[EMPTY_CELL]</td><td>49</td><td>Maternal</td></tr><tr><td><b>21860</b></td><td>chr16</td><td>p12.1</td><td>21,907,270</td><td>22,338,234</td><td>Loss</td><td>430,964</td><td>[EMPTY_CELL]</td><td>50</td><td>Unknown</td></tr><tr><td><b>22009</b></td><td>chr22</td><td>q11.21</td><td>19,069,125</td><td>19,770,655</td><td>Loss</td><td>701,530</td><td>[EMPTY_CELL]</td><td>70</td><td>Paternal</td></tr><tr><td><b>22102</b></td><td>chr16</td><td>p13.11</td><td>14,981,044</td><td>16,166,985</td><td>Gain</td><td>1,185,941</td><td>[EMPTY_CELL]</td><td>60</td><td>Maternal</td></tr><tr><td><b>22246</b></td><td>chr10</td><td>p11.22</td><td>31,591,310</td><td>32,792,762</td><td>Loss</td><td>1,201,452</td><td>[EMPTY_CELL]</td><td>40</td><td>Unknown</td></tr><tr><td><b>21893</b></td><td>chrX</td><td>p11.32</td><td>45,930,652</td><td>46,382,140</td><td>Gain</td><td>451,488</td><td>[EMPTY_CELL]</td><td>34</td><td>Maternal</td></tr><tr><td><b>22273</b></td><td>chrX</td><td>q28</td><td>153,355,101</td><td>154,317,591</td><td>Gain</td><td>962,490</td><td>[EMPTY_CELL]</td><td>46</td><td>Unknown</td></tr><tr><td><b>10245</b></td><td>chr3</td><td>p14.1</td><td>67,727,841</td><td>69,101,769</td><td>Loss</td><td>1,373,928</td><td>[EMPTY_CELL]</td><td>25</td><td>Unknown</td></tr><tr><td><b>22348</b></td><td>chr13</td><td>q22.2</td><td>74,989,699</td><td>75,378,640</td><td>Loss</td><td>388,941</td><td>[EMPTY_CELL]</td><td>51</td><td>De novo</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Pt. #</b>\", \"bbox\": [9, 4, 27, 13]}, {\"cell\": \"<b>Chr</b>\", \"bbox\": [40, 4, 54, 13]}, {\"cell\": \"<b>Band</b>\", \"bbox\": [75, 4, 95, 13]}, {\"cell\": \"<b>Start pos.</b>\", \"bbox\": [130, 4, 165, 13]}, {\"cell\": \"<b>End pos.</b>\", \"bbox\": [188, 4, 220, 13]}, {\"cell\": \"<b>Gain/Loss</b>\", \"bbox\": [230, 4, 266, 13]}, {\"cell\": \"<b>Size</b>\", \"bbox\": [290, 4, 305, 13]}, {\"cell\": \"<b># of BACs</b>\", \"bbox\": [329, 4, 365, 13]}, {\"cell\": \"<b># of Oligos</b>\", \"bbox\": [381, 4, 422, 13]}, {\"cell\": \"<b>Inheritance</b>\", \"bbox\": [438, 4, 478, 13]}, {\"cell\": \"<b>22365</b>\", \"bbox\": [7, 17, 30, 27]}, {\"cell\": \"chr9\", \"bbox\": [40, 17, 56, 26]}, {\"cell\": \"p23\", \"bbox\": [75, 17, 89, 26]}, {\"cell\": \"9,881,385\", \"bbox\": [134, 17, 165, 26]}, {\"cell\": \"9,984,838\", \"bbox\": [189, 17, 220, 26]}, {\"cell\": \"Loss\", \"bbox\": [240, 17, 256, 26]}, {\"cell\": \"103,453\", \"bbox\": [284, 17, 311, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 17, 350, 26]}, {\"cell\": \"15\", \"bbox\": [397, 17, 406, 26]}, {\"cell\": \"Paternal\", \"bbox\": [444, 17, 472, 26]}, {\"cell\": \"<b>21702</b>\", \"bbox\": [7, 30, 30, 40]}, {\"cell\": \"chr16\", \"bbox\": [40, 30, 59, 40]}, {\"cell\": \"p12.2\", \"bbox\": [75, 30, 95, 40]}, {\"cell\": \"21,486,897\", \"bbox\": [130, 30, 166, 40]}, {\"cell\": \"21,641,890\", \"bbox\": [185, 30, 221, 40]}, {\"cell\": \"Loss\", \"bbox\": [240, 30, 256, 40]}, {\"cell\": \"154,993\", \"bbox\": [284, 30, 311, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 30, 350, 40]}, {\"cell\": \"16\", \"bbox\": [397, 30, 406, 40]}, {\"cell\": \"Paternal\", \"bbox\": [444, 30, 472, 40]}, {\"cell\": \"<b>21883</b>\", \"bbox\": [7, 44, 30, 53]}, {\"cell\": \"chr16\", \"bbox\": [40, 44, 59, 53]}, {\"cell\": \"p12.1\", \"bbox\": [75, 44, 95, 53]}, {\"cell\": \"21,974,396\", \"bbox\": [130, 44, 166, 53]}, {\"cell\": \"22,338,234\", \"bbox\": [185, 44, 221, 53]}, {\"cell\": \"Gain\", \"bbox\": [240, 44, 256, 53]}, {\"cell\": \"363,838\", \"bbox\": [284, 44, 311, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 44, 350, 53]}, {\"cell\": \"49\", \"bbox\": [397, 44, 406, 53]}, {\"cell\": \"Maternal\", \"bbox\": [443, 44, 473, 53]}, {\"cell\": \"<b>21860</b>\", \"bbox\": [7, 57, 30, 66]}, {\"cell\": \"chr16\", \"bbox\": [40, 57, 59, 66]}, {\"cell\": \"p12.1\", \"bbox\": [75, 57, 95, 66]}, {\"cell\": \"21,907,270\", \"bbox\": [130, 57, 166, 66]}, {\"cell\": \"22,338,234\", \"bbox\": [185, 57, 221, 66]}, {\"cell\": \"Loss\", \"bbox\": [240, 57, 256, 66]}, {\"cell\": \"430,964\", \"bbox\": [284, 57, 311, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 57, 350, 66]}, {\"cell\": \"50\", \"bbox\": [397, 57, 406, 66]}, {\"cell\": \"Unknown\", \"bbox\": [442, 57, 475, 66]}, {\"cell\": \"<b>22009</b>\", \"bbox\": [7, 70, 30, 79]}, {\"cell\": \"chr22\", \"bbox\": [40, 70, 59, 79]}, {\"cell\": \"q11.21\", \"bbox\": [75, 70, 98, 79]}, {\"cell\": \"19,069,125\", \"bbox\": [130, 70, 166, 79]}, {\"cell\": \"19,770,655\", \"bbox\": [185, 70, 221, 79]}, {\"cell\": \"Loss\", \"bbox\": [240, 70, 256, 79]}, {\"cell\": \"701,530\", \"bbox\": [284, 70, 311, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 70, 350, 79]}, {\"cell\": \"70\", \"bbox\": [397, 70, 406, 79]}, {\"cell\": \"Paternal\", \"bbox\": [444, 70, 472, 79]}, {\"cell\": \"<b>22102</b>\", \"bbox\": [7, 83, 30, 93]}, {\"cell\": \"chr16\", \"bbox\": [40, 83, 59, 93]}, {\"cell\": \"p13.11\", \"bbox\": [75, 83, 98, 93]}, {\"cell\": \"14,981,044\", \"bbox\": [130, 83, 166, 93]}, {\"cell\": \"16,166,985\", \"bbox\": [185, 83, 221, 93]}, {\"cell\": \"Gain\", \"bbox\": [240, 83, 256, 93]}, {\"cell\": \"1,185,941\", \"bbox\": [282, 83, 313, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 83, 350, 93]}, {\"cell\": \"60\", \"bbox\": [397, 83, 406, 93]}, {\"cell\": \"Maternal\", \"bbox\": [443, 83, 473, 93]}, {\"cell\": \"<b>22246</b>\", \"bbox\": [7, 96, 30, 106]}, {\"cell\": \"chr10\", \"bbox\": [40, 96, 59, 106]}, {\"cell\": \"p11.22\", \"bbox\": [75, 96, 98, 106]}, {\"cell\": \"31,591,310\", \"bbox\": [130, 96, 166, 106]}, {\"cell\": \"32,792,762\", \"bbox\": [185, 96, 221, 106]}, {\"cell\": \"Loss\", \"bbox\": [240, 96, 256, 106]}, {\"cell\": \"1,201,452\", \"bbox\": [282, 96, 313, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 96, 350, 106]}, {\"cell\": \"40\", \"bbox\": [397, 96, 406, 106]}, {\"cell\": \"Unknown\", \"bbox\": [442, 96, 475, 106]}, {\"cell\": \"<b>21893</b>\", \"bbox\": [7, 110, 30, 119]}, {\"cell\": \"chrX\", \"bbox\": [40, 110, 56, 119]}, {\"cell\": \"p11.32\", \"bbox\": [75, 110, 98, 119]}, {\"cell\": \"45,930,652\", \"bbox\": [130, 110, 166, 119]}, {\"cell\": \"46,382,140\", \"bbox\": [185, 110, 221, 119]}, {\"cell\": \"Gain\", \"bbox\": [240, 110, 256, 119]}, {\"cell\": \"451,488\", \"bbox\": [284, 110, 311, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 110, 350, 119]}, {\"cell\": \"34\", \"bbox\": [397, 110, 406, 119]}, {\"cell\": \"Maternal\", \"bbox\": [443, 110, 473, 119]}, {\"cell\": \"<b>22273</b>\", \"bbox\": [7, 123, 30, 132]}, {\"cell\": \"chrX\", \"bbox\": [40, 123, 56, 132]}, {\"cell\": \"q28\", \"bbox\": [75, 123, 89, 132]}, {\"cell\": \"153,355,101\", \"bbox\": [127, 123, 165, 132]}, {\"cell\": \"154,317,591\", \"bbox\": [182, 123, 221, 132]}, {\"cell\": \"Gain\", \"bbox\": [240, 123, 256, 132]}, {\"cell\": \"962,490\", \"bbox\": [284, 123, 311, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 123, 350, 132]}, {\"cell\": \"46\", \"bbox\": [397, 123, 406, 132]}, {\"cell\": \"Unknown\", \"bbox\": [442, 123, 475, 132]}, {\"cell\": \"<b>10245</b>\", \"bbox\": [7, 136, 30, 145]}, {\"cell\": \"chr3\", \"bbox\": [40, 136, 56, 145]}, {\"cell\": \"p14.1\", \"bbox\": [75, 136, 95, 145]}, {\"cell\": \"67,727,841\", \"bbox\": [130, 136, 166, 145]}, {\"cell\": \"69,101,769\", \"bbox\": [185, 136, 221, 145]}, {\"cell\": \"Loss\", \"bbox\": [240, 136, 256, 145]}, {\"cell\": \"1,373,928\", \"bbox\": [282, 136, 313, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 136, 350, 145]}, {\"cell\": \"25\", \"bbox\": [397, 136, 406, 145]}, {\"cell\": \"Unknown\", \"bbox\": [442, 136, 475, 145]}, {\"cell\": \"<b>22348</b>\", \"bbox\": [7, 149, 30, 159]}, {\"cell\": \"chr13\", \"bbox\": [40, 149, 59, 159]}, {\"cell\": \"q22.2\", \"bbox\": [75, 149, 95, 159]}, {\"cell\": \"74,989,699\", \"bbox\": [130, 149, 166, 159]}, {\"cell\": \"75,378,640\", \"bbox\": [185, 149, 221, 159]}, {\"cell\": \"Loss\", \"bbox\": [240, 149, 256, 159]}, {\"cell\": \"388,941\", \"bbox\": [284, 149, 311, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 149, 350, 159]}, {\"cell\": \"51\", \"bbox\": [397, 149, 406, 159]}, {\"cell\": \"De novo\", \"bbox\": [443, 149, 473, 159]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2909945_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}829{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td><b>Step 1: Analysis of health and quality of health</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Step 2: Analysis of risk factors</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\"><b>Step 3: Analysis of determinants of risk behaviours</b></td><td>[EMPTY_CELL]</td></tr><tr><td><i>- importance of family environment</i></td></tr><tr><td><i>- importance of individual factors</i></td></tr><tr><td rowspan=\\\"3\\\"><b>Step 4: Intervention program development</b></td><td>[EMPTY_CELL]</td></tr><tr><td><i>Choosing behaviour change techniques for the identified determinants</i></td></tr><tr><td><i>Pretesting of core components in five European countries</i></td></tr><tr><td><b>Step 5: Implementation of the UP4FUN intervention</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Step 1: Analysis of health and quality of health</b>\", \"bbox\": [1, 4, 166, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 4, 451, 13]}, {\"cell\": \"<b>Step 2: Analysis of risk factors</b>\", \"bbox\": [1, 18, 107, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 18, 382, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 32, 444, 41]}, {\"cell\": \"<b>Step 3: Analysis of determinants of risk behaviours</b>\", \"bbox\": [1, 46, 180, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 46, 281, 55]}, {\"cell\": \"<i>- importance of family environment</i>\", \"bbox\": [226, 60, 338, 69]}, {\"cell\": \"<i>- importance of individual factors</i>\", \"bbox\": [226, 74, 331, 83]}, {\"cell\": \"<b>Step 4: Intervention program development</b>\", \"bbox\": [1, 88, 152, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 88, 484, 97]}, {\"cell\": \"<i>Choosing behaviour change techniques for the identified determinants</i>\", \"bbox\": [226, 102, 445, 111]}, {\"cell\": \"<i>Pretesting of core components in five European countries</i>\", \"bbox\": [226, 116, 404, 125]}, {\"cell\": \"<b>Step 5: Implementation of the UP4FUN intervention</b>\", \"bbox\": [1, 130, 183, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 130, 278, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 144, 278, 153]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3504538_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}830{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>48 h</b></td><td>[EMPTY_CELL]</td><td><b>72 h</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>Non-IL1</b></td><td><b>IL-1</b></td><td><b>Non-IL1</b></td><td><b>IL-1</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>93.05 ± 4.23</td><td>46.41 ± 6.04*</td><td>93.87 ± 3.44</td><td>26.52 ± 5.97*</td></tr><tr><td>[EMPTY_CELL]</td><td>2.28 ± 1.71</td><td>63.39 ± 11.43*</td><td>4.62 ± 1.72</td><td>70.73 ± 5.02*</td></tr><tr><td>[EMPTY_CELL]</td><td>9.42 ± 2.43</td><td>1.36 ± 0.90*</td><td>16.22 ± 7.62</td><td>0.85 ± 0.30*</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>121.04 ± 23.03</td><td>48.54 ± 12.85*</td><td>146.04 ± 11.93</td><td>35.29 ± 8.54*</td></tr><tr><td>[EMPTY_CELL]</td><td>1.91 ± 0.88</td><td>0.56 ± 0.14*</td><td>1.72 ± 0.81</td><td>0.17 ± 0.07*</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.98 ± 0.07</td><td>2.03 ± 0.23*</td><td>1.56 ± 0.18</td><td>2.94 ± .019*</td></tr><tr><td>[EMPTY_CELL]</td><td>1.01 ± 0.03</td><td>0.57 ± 0.21*</td><td>1.35 ± 0.09</td><td>0.34 ± 0.06*</td></tr><tr><td>[EMPTY_CELL]</td><td>1.02 ± 0.13</td><td>0.37 ± 0.15*</td><td>1.35 ± 0.10</td><td>0.15 ± 0.07*</td></tr><tr><td>[EMPTY_CELL]</td><td>1.02 ± 0.11</td><td>0.10 ± 0.04*</td><td>1.18 ± 0.12</td><td>0.05 ± 0.04*</td></tr><tr><td>[EMPTY_CELL]</td><td>1.01 ± 0.06</td><td>0.43 ± 0.18*</td><td>1.35 ± 0.10</td><td>0.17 ± 0.03*</td></tr><tr><td>[EMPTY_CELL]</td><td>1.02 ± 0.11</td><td>0.15 ± 0.10*</td><td>1.48 ± 0.14</td><td>0.03 ± 0.08*</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>48 h</b>\", \"bbox\": [125, 5, 143, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>72 h</b>\", \"bbox\": [318, 5, 336, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Non-IL1</b>\", \"bbox\": [125, 27, 159, 36]}, {\"cell\": \"<b>IL-1</b>\", \"bbox\": [222, 27, 239, 36]}, {\"cell\": \"<b>Non-IL1</b>\", \"bbox\": [318, 27, 352, 36]}, {\"cell\": \"<b>IL-1</b>\", \"bbox\": [415, 27, 432, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 71, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 59, 48, 69]}, {\"cell\": \"93.05 ± 4.23\", \"bbox\": [125, 59, 169, 69]}, {\"cell\": \"46.41 ± 6.04*\", \"bbox\": [222, 59, 269, 69]}, {\"cell\": \"93.87 ± 3.44\", \"bbox\": [318, 59, 362, 69]}, {\"cell\": \"26.52 ± 5.97*\", \"bbox\": [415, 59, 462, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 69, 56, 79]}, {\"cell\": \"2.28 ± 1.71\", \"bbox\": [125, 69, 165, 79]}, {\"cell\": \"63.39 ± 11.43*\", \"bbox\": [222, 69, 273, 79]}, {\"cell\": \"4.62 ± 1.72\", \"bbox\": [318, 69, 357, 79]}, {\"cell\": \"70.73 ± 5.02*\", \"bbox\": [415, 69, 462, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 79, 46, 89]}, {\"cell\": \"9.42 ± 2.43\", \"bbox\": [125, 79, 165, 89]}, {\"cell\": \"1.36 ± 0.90*\", \"bbox\": [222, 79, 265, 89]}, {\"cell\": \"16.22 ± 7.62\", \"bbox\": [318, 79, 362, 89]}, {\"cell\": \"0.85 ± 0.30*\", \"bbox\": [415, 79, 458, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 90, 102, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 100, 44, 110]}, {\"cell\": \"121.04 ± 23.03\", \"bbox\": [125, 100, 177, 110]}, {\"cell\": \"48.54 ± 12.85*\", \"bbox\": [222, 100, 273, 110]}, {\"cell\": \"146.04 ± 11.93\", \"bbox\": [318, 100, 370, 110]}, {\"cell\": \"35.29 ± 8.54*\", \"bbox\": [415, 100, 462, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 99, 51, 122]}, {\"cell\": \"1.91 ± 0.88\", \"bbox\": [125, 110, 165, 120]}, {\"cell\": \"0.56 ± 0.14*\", \"bbox\": [222, 110, 265, 120]}, {\"cell\": \"1.72 ± 0.81\", \"bbox\": [318, 110, 357, 120]}, {\"cell\": \"0.17 ± 0.07*\", \"bbox\": [415, 110, 458, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 121, 102, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 131, 30, 139]}, {\"cell\": \"0.98 ± 0.07\", \"bbox\": [125, 131, 165, 141]}, {\"cell\": \"2.03 ± 0.23*\", \"bbox\": [222, 131, 265, 141]}, {\"cell\": \"1.56 ± 0.18\", \"bbox\": [318, 131, 357, 141]}, {\"cell\": \"2.94 ± .019*\", \"bbox\": [414, 131, 458, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 141, 29, 149]}, {\"cell\": \"1.01 ± 0.03\", \"bbox\": [125, 141, 165, 151]}, {\"cell\": \"0.57 ± 0.21*\", \"bbox\": [222, 141, 265, 151]}, {\"cell\": \"1.35 ± 0.09\", \"bbox\": [318, 141, 357, 151]}, {\"cell\": \"0.34 ± 0.06*\", \"bbox\": [415, 141, 458, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 152, 27, 159]}, {\"cell\": \"1.02 ± 0.13\", \"bbox\": [125, 151, 165, 161]}, {\"cell\": \"0.37 ± 0.15*\", \"bbox\": [222, 151, 265, 161]}, {\"cell\": \"1.35 ± 0.10\", \"bbox\": [318, 151, 357, 161]}, {\"cell\": \"0.15 ± 0.07*\", \"bbox\": [415, 151, 458, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 162, 27, 170]}, {\"cell\": \"1.02 ± 0.11\", \"bbox\": [125, 162, 165, 171]}, {\"cell\": \"0.10 ± 0.04*\", \"bbox\": [222, 162, 265, 171]}, {\"cell\": \"1.18 ± 0.12\", \"bbox\": [318, 162, 357, 171]}, {\"cell\": \"0.05 ± 0.04*\", \"bbox\": [415, 162, 458, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 172, 21, 180]}, {\"cell\": \"1.01 ± 0.06\", \"bbox\": [125, 172, 165, 182]}, {\"cell\": \"0.43 ± 0.18*\", \"bbox\": [222, 172, 265, 182]}, {\"cell\": \"1.35 ± 0.10\", \"bbox\": [318, 172, 357, 182]}, {\"cell\": \"0.17 ± 0.03*\", \"bbox\": [415, 172, 458, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 182, 33, 190]}, {\"cell\": \"1.02 ± 0.11\", \"bbox\": [125, 182, 165, 192]}, {\"cell\": \"0.15 ± 0.10*\", \"bbox\": [222, 182, 265, 192]}, {\"cell\": \"1.48 ± 0.14\", \"bbox\": [318, 182, 357, 192]}, {\"cell\": \"0.03 ± 0.08*\", \"bbox\": [415, 182, 458, 192]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2804682_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}831{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene set</b></td><td><b>Number of genes</b></td><td><b>Enrichment Score</b></td><td><b><i>P</i>-value</b></td><td><b><i>Q</i>value</b></td><td><b>Rank</b></td></tr></thead><tbody><tr><td>Cilia-microtubule function</td><td>[EMPTY_CELL]</td><td>2.05</td><td>2.1 × 10<sup>−8</sup></td><td>0.01</td><td>1</td></tr><tr><td>Reactome loss of nlp from mitotic centrosomes</td><td>[EMPTY_CELL]</td><td>1.93</td><td>3.1 × 10<sup>−4</sup></td><td>0.11</td><td>2</td></tr><tr><td>Chromosome segregation</td><td>[EMPTY_CELL]</td><td>1.84</td><td>1.8 × 10<sup>−3</sup></td><td>0.37</td><td>3</td></tr><tr><td>Reactome recruitment of mitotic centrosome proteins and complexes</td><td>[EMPTY_CELL]</td><td>1.83</td><td>6.7 × 10<sup>−4</sup></td><td>0.34</td><td>4</td></tr><tr><td>Reactome glutathione conjugation</td><td>[EMPTY_CELL]</td><td>1.82</td><td>2.2 × 10<sup>−3</sup></td><td>0.34</td><td>5</td></tr><tr><td>Response to light stimulus</td><td>[EMPTY_CELL]</td><td>1.81</td><td>2.1 × 10<sup>−3</sup></td><td>0.33</td><td>6</td></tr><tr><td>Respiratory gaseous exchange</td><td>[EMPTY_CELL]</td><td>1.80</td><td>8.3 × 10<sup>−4</sup></td><td>0.31</td><td>7</td></tr><tr><td>Response to radiation</td><td>[EMPTY_CELL]</td><td>1.78</td><td>2.8 × 10<sup>−3</sup></td><td>0.37</td><td>8</td></tr><tr><td>Kegg abc transporters</td><td>[EMPTY_CELL]</td><td>1.78</td><td>2.1 × 10<sup>−3</sup></td><td>0.36</td><td>9</td></tr><tr><td>Response to ultraviolet</td><td>[EMPTY_CELL]</td><td>1.76</td><td>6.1 × 10<sup>−3</sup></td><td>0.41</td><td>10</td></tr><tr><td>Photoreceptor cell maintenance</td><td>[EMPTY_CELL]</td><td>1.75</td><td>3.8 × 10<sup>−3</sup></td><td>0.45</td><td>11</td></tr><tr><td>Chromosome organization and biogenesis</td><td>[EMPTY_CELL]</td><td>1.74</td><td>1.7 × 10<sup>−3</sup></td><td>0.46</td><td>12</td></tr><tr><td>Regulation of endocytosis</td><td>[EMPTY_CELL]</td><td>1.72</td><td>4.4 × 10<sup>−3</sup></td><td>0.55</td><td>13</td></tr><tr><td>Reactome mitotic g2 g2 m phases</td><td>[EMPTY_CELL]</td><td>1.72</td><td>4.1 × 10<sup>−3</sup></td><td>0.54</td><td>14</td></tr><tr><td>Membrane fusion</td><td>[EMPTY_CELL]</td><td>1.71</td><td>9.4 × 10<sup>−3</sup></td><td>0.52</td><td>15</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene set</b>\", \"bbox\": [2, 2, 34, 11]}, {\"cell\": \"<b>Number of genes</b>\", \"bbox\": [247, 2, 309, 11]}, {\"cell\": \"<b>Enrichment Score</b>\", \"bbox\": [320, 2, 382, 11]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [394, 2, 421, 11]}, {\"cell\": \"<b><i>Q</i>value</b>\", \"bbox\": [445, 2, 473, 11]}, {\"cell\": \"<b>Rank</b>\", \"bbox\": [484, 2, 504, 11]}, {\"cell\": \"Cilia-microtubule function\", \"bbox\": [2, 13, 90, 23]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 13, 283, 23]}, {\"cell\": \"2.05\", \"bbox\": [342, 13, 360, 23]}, {\"cell\": \"2.1 × 10<sup>−8</sup>\", \"bbox\": [394, 12, 432, 23]}, {\"cell\": \"0.01\", \"bbox\": [450, 13, 466, 23]}, {\"cell\": \"1\", \"bbox\": [494, 13, 499, 23]}, {\"cell\": \"Reactome loss of nlp from mitotic centrosomes\", \"bbox\": [2, 23, 163, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 23, 283, 32]}, {\"cell\": \"1.93\", \"bbox\": [344, 23, 359, 32]}, {\"cell\": \"3.1 × 10<sup>−4</sup>\", \"bbox\": [394, 21, 432, 32]}, {\"cell\": \"0.11\", \"bbox\": [450, 23, 464, 32]}, {\"cell\": \"2\", \"bbox\": [493, 23, 499, 32]}, {\"cell\": \"Chromosome segregation\", \"bbox\": [2, 32, 89, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 32, 283, 41]}, {\"cell\": \"1.84\", \"bbox\": [344, 32, 360, 41]}, {\"cell\": \"1.8 × 10<sup>−3</sup>\", \"bbox\": [394, 30, 432, 41]}, {\"cell\": \"0.37\", \"bbox\": [450, 32, 467, 41]}, {\"cell\": \"3\", \"bbox\": [493, 32, 499, 41]}, {\"cell\": \"Reactome recruitment of mitotic centrosome proteins and complexes\", \"bbox\": [2, 42, 236, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 42, 283, 51]}, {\"cell\": \"1.83\", \"bbox\": [344, 42, 359, 51]}, {\"cell\": \"6.7 × 10<sup>−4</sup>\", \"bbox\": [394, 40, 433, 51]}, {\"cell\": \"0.34\", \"bbox\": [450, 42, 468, 51]}, {\"cell\": \"4\", \"bbox\": [492, 42, 499, 51]}, {\"cell\": \"Reactome glutathione conjugation\", \"bbox\": [2, 51, 117, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 51, 283, 60]}, {\"cell\": \"1.82\", \"bbox\": [344, 51, 359, 60]}, {\"cell\": \"2.2 × 10<sup>−3</sup>\", \"bbox\": [394, 49, 433, 60]}, {\"cell\": \"0.34\", \"bbox\": [450, 51, 468, 60]}, {\"cell\": \"5\", \"bbox\": [493, 51, 499, 60]}, {\"cell\": \"Response to light stimulus\", \"bbox\": [2, 61, 92, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 61, 283, 70]}, {\"cell\": \"1.81\", \"bbox\": [344, 61, 358, 70]}, {\"cell\": \"2.1 × 10<sup>−3</sup>\", \"bbox\": [394, 59, 431, 70]}, {\"cell\": \"0.33\", \"bbox\": [450, 61, 467, 70]}, {\"cell\": \"6\", \"bbox\": [492, 61, 499, 70]}, {\"cell\": \"Respiratory gaseous exchange\", \"bbox\": [2, 70, 104, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 70, 283, 79]}, {\"cell\": \"1.80\", \"bbox\": [344, 70, 360, 79]}, {\"cell\": \"8.3 × 10<sup>−4</sup>\", \"bbox\": [394, 68, 433, 79]}, {\"cell\": \"0.31\", \"bbox\": [450, 70, 466, 79]}, {\"cell\": \"7\", \"bbox\": [493, 70, 499, 79]}, {\"cell\": \"Response to radiation\", \"bbox\": [2, 80, 76, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 80, 283, 89]}, {\"cell\": \"1.78\", \"bbox\": [344, 80, 359, 89]}, {\"cell\": \"2.8 × 10<sup>−3</sup>\", \"bbox\": [394, 78, 433, 89]}, {\"cell\": \"0.37\", \"bbox\": [450, 80, 467, 89]}, {\"cell\": \"8\", \"bbox\": [492, 80, 499, 89]}, {\"cell\": \"Kegg abc transporters\", \"bbox\": [2, 89, 77, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 89, 283, 98]}, {\"cell\": \"1.78\", \"bbox\": [344, 89, 359, 98]}, {\"cell\": \"2.1 × 10<sup>−3</sup>\", \"bbox\": [394, 87, 431, 98]}, {\"cell\": \"0.36\", \"bbox\": [450, 89, 467, 98]}, {\"cell\": \"9\", \"bbox\": [492, 89, 499, 98]}, {\"cell\": \"Response to ultraviolet\", \"bbox\": [2, 98, 80, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 98, 283, 108]}, {\"cell\": \"1.76\", \"bbox\": [344, 98, 359, 108]}, {\"cell\": \"6.1 × 10<sup>−3</sup>\", \"bbox\": [394, 97, 432, 108]}, {\"cell\": \"0.41\", \"bbox\": [450, 98, 466, 108]}, {\"cell\": \"10\", \"bbox\": [489, 98, 499, 108]}, {\"cell\": \"Photoreceptor cell maintenance\", \"bbox\": [2, 108, 109, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 108, 283, 117]}, {\"cell\": \"1.75\", \"bbox\": [344, 108, 359, 117]}, {\"cell\": \"3.8 × 10<sup>−3</sup>\", \"bbox\": [394, 106, 433, 117]}, {\"cell\": \"0.45\", \"bbox\": [450, 108, 468, 117]}, {\"cell\": \"11\", \"bbox\": [491, 108, 499, 117]}, {\"cell\": \"Chromosome organization and biogenesis\", \"bbox\": [2, 117, 144, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 117, 283, 127]}, {\"cell\": \"1.74\", \"bbox\": [344, 117, 359, 127]}, {\"cell\": \"1.7 × 10<sup>−3</sup>\", \"bbox\": [394, 116, 431, 127]}, {\"cell\": \"0.46\", \"bbox\": [450, 117, 468, 127]}, {\"cell\": \"12\", \"bbox\": [490, 117, 499, 127]}, {\"cell\": \"Regulation of endocytosis\", \"bbox\": [2, 127, 89, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 127, 283, 136]}, {\"cell\": \"1.72\", \"bbox\": [344, 127, 359, 136]}, {\"cell\": \"4.4 × 10<sup>−3</sup>\", \"bbox\": [394, 125, 434, 136]}, {\"cell\": \"0.55\", \"bbox\": [450, 127, 467, 136]}, {\"cell\": \"13\", \"bbox\": [490, 127, 499, 136]}, {\"cell\": \"Reactome mitotic g2 g2 m phases\", \"bbox\": [2, 136, 118, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 136, 283, 146]}, {\"cell\": \"1.72\", \"bbox\": [344, 136, 359, 146]}, {\"cell\": \"4.1 × 10<sup>−3</sup>\", \"bbox\": [394, 135, 432, 146]}, {\"cell\": \"0.54\", \"bbox\": [450, 136, 468, 146]}, {\"cell\": \"14\", \"bbox\": [489, 136, 499, 146]}, {\"cell\": \"Membrane fusion\", \"bbox\": [2, 146, 62, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [276, 146, 283, 155]}, {\"cell\": \"1.71\", \"bbox\": [344, 146, 358, 155]}, {\"cell\": \"9.4 × 10<sup>−3</sup>\", \"bbox\": [394, 144, 433, 155]}, {\"cell\": \"0.52\", \"bbox\": [450, 146, 467, 155]}, {\"cell\": \"15\", \"bbox\": [490, 146, 499, 155]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5187424_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}832{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Preliminary tests</b></td><td colspan=\\\"3\\\"><b>Study I (<i>N</i> = 87)</b></td><td colspan=\\\"3\\\"><b>Study II (<i>N</i> = 228)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>df</i></b></td><td><b><i>T</i></b></td><td><b><i>sr</i><sub>effectsize</sub></b></td><td><b><i>df</i></b></td><td><b><i>t</i></b></td><td><b><i>sr</i><sub>effectsize</sub></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>225</td><td>0.72</td><td>0.05</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>223</td><td>−1.05</td><td>0.07</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>223</td><td>−1.88</td><td>−0.12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>219</td><td>−0.78</td><td>−0.05</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>225</td><td>1.89</td><td>0.12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>223</td><td>−1.69</td><td>−0.11</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>223</td><td>0.28</td><td>0.02</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>219</td><td>1.25</td><td>0.08</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>225</td><td>0.86</td><td>0.06</td><td>84</td><td>1.26</td><td>0.14</td></tr><tr><td>[EMPTY_CELL]</td><td>223</td><td>−0.40</td><td>−0.03</td><td>82</td><td>−1.08</td><td>−0.11</td></tr><tr><td>[EMPTY_CELL]</td><td>223</td><td>1.52</td><td>0.10</td><td>82</td><td>0.92</td><td>0.10</td></tr><tr><td>[EMPTY_CELL]</td><td>219</td><td>2.19</td><td>0.14<sup>*</sup></td><td>78</td><td>−0.25</td><td>−0.03</td></tr><tr><td>[EMPTY_CELL]</td><td>40</td><td>1.00</td><td>0.16</td><td>6</td><td>0.12</td><td>0.05</td></tr><tr><td>[EMPTY_CELL]</td><td>55</td><td>0.40</td><td>0.05</td><td>10</td><td>1.73</td><td>0.47</td></tr><tr><td>[EMPTY_CELL]</td><td>62</td><td>−1.66</td><td>−0.20</td><td>23</td><td>0.21</td><td>0.04</td></tr><tr><td>[EMPTY_CELL]</td><td>59</td><td>2.34</td><td>0.28<sup>*</sup></td><td>36</td><td>2.04</td><td>0.31<sup>*</sup></td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>57</td><td>2.22</td><td>0.25<sup>*</sup></td><td>34</td><td>1.89</td><td>0.29</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Preliminary tests</b>\", \"bbox\": [1, 9, 43, 29]}, {\"cell\": \"<b>Study I (<i>N</i> = 87)</b>\", \"bbox\": [80, 9, 139, 18]}, {\"cell\": \"<b>Study II (<i>N</i> = 228)</b>\", \"bbox\": [175, 9, 240, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>df</i></b>\", \"bbox\": [63, 38, 73, 45]}, {\"cell\": \"<b><i>T</i></b>\", \"bbox\": [88, 38, 95, 45]}, {\"cell\": \"<b><i>sr</i><sub>effectsize</sub></b>\", \"bbox\": [120, 38, 155, 48]}, {\"cell\": \"<b><i>df</i></b>\", \"bbox\": [165, 38, 175, 45]}, {\"cell\": \"<b><i>t</i></b>\", \"bbox\": [188, 38, 193, 45]}, {\"cell\": \"<b><i>sr</i><sub>effectsize</sub></b>\", \"bbox\": [220, 38, 255, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 23, 65]}, {\"cell\": \"225\", \"bbox\": [63, 57, 78, 66]}, {\"cell\": \"0.72\", \"bbox\": [94, 57, 110, 66]}, {\"cell\": \"0.05\", \"bbox\": [126, 57, 143, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 47, 77]}, {\"cell\": \"223\", \"bbox\": [63, 68, 78, 77]}, {\"cell\": \"−1.05\", \"bbox\": [88, 68, 110, 77]}, {\"cell\": \"0.07\", \"bbox\": [126, 68, 143, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 46, 89]}, {\"cell\": \"223\", \"bbox\": [63, 80, 78, 89]}, {\"cell\": \"−1.88\", \"bbox\": [88, 80, 110, 89]}, {\"cell\": \"−0.12\", \"bbox\": [120, 80, 143, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 91, 47, 111]}, {\"cell\": \"219\", \"bbox\": [63, 91, 78, 100]}, {\"cell\": \"−0.78\", \"bbox\": [88, 91, 110, 100]}, {\"cell\": \"−0.05\", \"bbox\": [120, 91, 143, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 114, 36, 121]}, {\"cell\": \"225\", \"bbox\": [63, 113, 78, 122]}, {\"cell\": \"1.89\", \"bbox\": [94, 113, 110, 122]}, {\"cell\": \"0.12\", \"bbox\": [126, 113, 143, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 125, 44, 144]}, {\"cell\": \"223\", \"bbox\": [63, 125, 78, 134]}, {\"cell\": \"−1.69\", \"bbox\": [88, 125, 110, 134]}, {\"cell\": \"−0.11\", \"bbox\": [120, 125, 142, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 44, 166]}, {\"cell\": \"223\", \"bbox\": [63, 147, 78, 156]}, {\"cell\": \"0.28\", \"bbox\": [94, 147, 110, 156]}, {\"cell\": \"0.02\", \"bbox\": [126, 147, 143, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 169, 44, 188]}, {\"cell\": \"219\", \"bbox\": [63, 169, 78, 178]}, {\"cell\": \"1.25\", \"bbox\": [94, 169, 110, 178]}, {\"cell\": \"0.08\", \"bbox\": [126, 169, 143, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 191, 141, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 202, 17, 211]}, {\"cell\": \"225\", \"bbox\": [63, 202, 78, 211]}, {\"cell\": \"0.86\", \"bbox\": [94, 202, 110, 211]}, {\"cell\": \"0.06\", \"bbox\": [126, 202, 143, 211]}, {\"cell\": \"84\", \"bbox\": [165, 202, 176, 211]}, {\"cell\": \"1.26\", \"bbox\": [194, 202, 210, 211]}, {\"cell\": \"0.14\", \"bbox\": [226, 202, 242, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 214, 41, 223]}, {\"cell\": \"223\", \"bbox\": [63, 214, 78, 223]}, {\"cell\": \"−0.40\", \"bbox\": [88, 214, 110, 223]}, {\"cell\": \"−0.03\", \"bbox\": [120, 214, 143, 223]}, {\"cell\": \"82\", \"bbox\": [165, 214, 176, 223]}, {\"cell\": \"−1.08\", \"bbox\": [188, 214, 210, 223]}, {\"cell\": \"−0.11\", \"bbox\": [220, 214, 242, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 225, 40, 234]}, {\"cell\": \"223\", \"bbox\": [63, 225, 78, 234]}, {\"cell\": \"1.52\", \"bbox\": [94, 225, 110, 234]}, {\"cell\": \"0.10\", \"bbox\": [126, 225, 142, 234]}, {\"cell\": \"82\", \"bbox\": [165, 225, 176, 234]}, {\"cell\": \"0.92\", \"bbox\": [194, 225, 210, 234]}, {\"cell\": \"0.10\", \"bbox\": [226, 225, 242, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 237, 49, 256]}, {\"cell\": \"219\", \"bbox\": [63, 237, 78, 246]}, {\"cell\": \"2.19\", \"bbox\": [94, 237, 110, 246]}, {\"cell\": \"0.14<sup>*</sup>\", \"bbox\": [126, 237, 146, 246]}, {\"cell\": \"78\", \"bbox\": [165, 237, 176, 246]}, {\"cell\": \"−0.25\", \"bbox\": [188, 237, 210, 246]}, {\"cell\": \"−0.03\", \"bbox\": [220, 237, 243, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 259, 38, 278]}, {\"cell\": \"40\", \"bbox\": [63, 259, 74, 268]}, {\"cell\": \"1.00\", \"bbox\": [94, 259, 111, 268]}, {\"cell\": \"0.16\", \"bbox\": [126, 259, 143, 268]}, {\"cell\": \"6\", \"bbox\": [165, 259, 172, 268]}, {\"cell\": \"0.12\", \"bbox\": [194, 259, 210, 268]}, {\"cell\": \"0.05\", \"bbox\": [226, 259, 243, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 281, 41, 300]}, {\"cell\": \"55\", \"bbox\": [63, 281, 74, 290]}, {\"cell\": \"0.40\", \"bbox\": [94, 281, 110, 290]}, {\"cell\": \"0.05\", \"bbox\": [126, 281, 143, 290]}, {\"cell\": \"10\", \"bbox\": [165, 281, 175, 290]}, {\"cell\": \"1.73\", \"bbox\": [194, 281, 210, 290]}, {\"cell\": \"0.47\", \"bbox\": [226, 281, 243, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 303, 52, 322]}, {\"cell\": \"62\", \"bbox\": [63, 303, 74, 312]}, {\"cell\": \"−1.66\", \"bbox\": [88, 303, 110, 312]}, {\"cell\": \"−0.20\", \"bbox\": [120, 303, 143, 312]}, {\"cell\": \"23\", \"bbox\": [165, 303, 176, 312]}, {\"cell\": \"0.21\", \"bbox\": [194, 303, 210, 312]}, {\"cell\": \"0.04\", \"bbox\": [226, 303, 243, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 50, 344]}, {\"cell\": \"59\", \"bbox\": [63, 325, 74, 334]}, {\"cell\": \"2.34\", \"bbox\": [94, 325, 110, 334]}, {\"cell\": \"0.28<sup>*</sup>\", \"bbox\": [126, 325, 147, 334]}, {\"cell\": \"36\", \"bbox\": [165, 325, 176, 334]}, {\"cell\": \"2.04\", \"bbox\": [194, 325, 210, 334]}, {\"cell\": \"0.31<sup>*</sup>\", \"bbox\": [226, 325, 246, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 347, 71, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 358, 50, 378]}, {\"cell\": \"57\", \"bbox\": [63, 358, 74, 367]}, {\"cell\": \"2.22\", \"bbox\": [94, 358, 110, 367]}, {\"cell\": \"0.25<sup>*</sup>\", \"bbox\": [126, 358, 147, 367]}, {\"cell\": \"34\", \"bbox\": [165, 358, 176, 367]}, {\"cell\": \"1.89\", \"bbox\": [194, 358, 210, 367]}, {\"cell\": \"0.29\", \"bbox\": [226, 358, 243, 367]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3826084_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}833{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Toxin Group</b></td><td><b>Proven to Be Toxic to Humans?</b></td><td><b>Number of Analogs Monitored [1]</b></td><td><b>Number of Analogs not Monitored #</b></td></tr></thead><tbody><tr><td>Okadaic acid</td><td>YES</td><td>[EMPTY_CELL]</td><td>0</td></tr><tr><td>Azaspiracid</td><td>YES</td><td>[EMPTY_CELL]</td><td>40</td></tr><tr><td>Domoic acid</td><td>YES</td><td>[EMPTY_CELL]</td><td>0 (traces of others)</td></tr><tr><td>Saxitoxin</td><td>YES</td><td>[EMPTY_CELL]</td><td>30</td></tr><tr><td>Bevetoxin</td><td>YES</td><td>[EMPTY_CELL]</td><td>Polar compounds are undetected due to poor extraction</td></tr><tr><td>Ciguatoxin</td><td>YES</td><td>[EMPTY_CELL]</td><td>15</td></tr><tr><td>Tetrodotoxin</td><td>YES</td><td>[EMPTY_CELL]</td><td>15</td></tr><tr><td>Palytoxin</td><td>YES</td><td>[EMPTY_CELL]</td><td>Unkown. In theory many billions [17].</td></tr><tr><td>Cyclic imines</td><td>NO *</td><td>[EMPTY_CELL]</td><td>40</td></tr><tr><td>Yessotoxin</td><td>NO **</td><td>[EMPTY_CELL]</td><td>50</td></tr><tr><td>Pectenotoxin</td><td>NO</td><td>[EMPTY_CELL]</td><td>15</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Toxin Group</b>\", \"bbox\": [11, 9, 59, 19]}, {\"cell\": \"<b>Proven to Be Toxic to Humans?</b>\", \"bbox\": [90, 5, 159, 24]}, {\"cell\": \"<b>Number of Analogs Monitored [1]</b>\", \"bbox\": [198, 5, 272, 24]}, {\"cell\": \"<b>Number of Analogs not Monitored #</b>\", \"bbox\": [319, 5, 393, 24]}, {\"cell\": \"Okadaic acid\", \"bbox\": [11, 33, 59, 43]}, {\"cell\": \"YES\", \"bbox\": [116, 33, 132, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [196, 28, 273, 48]}, {\"cell\": \"0\", \"bbox\": [353, 33, 359, 43]}, {\"cell\": \"Azaspiracid\", \"bbox\": [13, 47, 57, 57]}, {\"cell\": \"YES\", \"bbox\": [116, 47, 132, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 47, 238, 57]}, {\"cell\": \"40\", \"bbox\": [351, 47, 361, 57]}, {\"cell\": \"Domoic acid\", \"bbox\": [12, 57, 58, 67]}, {\"cell\": \"YES\", \"bbox\": [116, 57, 132, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 57, 238, 67]}, {\"cell\": \"0 (traces of others)\", \"bbox\": [323, 57, 389, 67]}, {\"cell\": \"Saxitoxin\", \"bbox\": [18, 66, 52, 77]}, {\"cell\": \"YES\", \"bbox\": [116, 66, 132, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 66, 240, 77]}, {\"cell\": \"30\", \"bbox\": [351, 66, 361, 77]}, {\"cell\": \"Bevetoxin\", \"bbox\": [17, 81, 54, 91]}, {\"cell\": \"YES\", \"bbox\": [116, 81, 132, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [184, 81, 285, 91]}, {\"cell\": \"Polar compounds are undetected due to poor extraction\", \"bbox\": [297, 76, 415, 96]}, {\"cell\": \"Ciguatoxin\", \"bbox\": [15, 95, 56, 105]}, {\"cell\": \"YES\", \"bbox\": [116, 95, 132, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 95, 265, 105]}, {\"cell\": \"15\", \"bbox\": [351, 95, 361, 105]}, {\"cell\": \"Tetrodotoxin\", \"bbox\": [12, 105, 59, 115]}, {\"cell\": \"YES\", \"bbox\": [116, 105, 132, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 105, 238, 115]}, {\"cell\": \"15\", \"bbox\": [351, 105, 361, 115]}, {\"cell\": \"Palytoxin\", \"bbox\": [17, 119, 53, 129]}, {\"cell\": \"YES\", \"bbox\": [116, 119, 132, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 119, 238, 129]}, {\"cell\": \"Unkown. In theory many billions [17].\", \"bbox\": [296, 114, 416, 134]}, {\"cell\": \"Cyclic imines\", \"bbox\": [11, 133, 60, 143]}, {\"cell\": \"NO *\", \"bbox\": [114, 133, 134, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 133, 238, 143]}, {\"cell\": \"40\", \"bbox\": [351, 133, 361, 143]}, {\"cell\": \"Yessotoxin\", \"bbox\": [15, 143, 55, 153]}, {\"cell\": \"NO **\", \"bbox\": [113, 143, 136, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 143, 238, 153]}, {\"cell\": \"50\", \"bbox\": [351, 143, 361, 153]}, {\"cell\": \"Pectenotoxin\", \"bbox\": [11, 152, 59, 162]}, {\"cell\": \"NO\", \"bbox\": [117, 152, 132, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [232, 152, 238, 162]}, {\"cell\": \"15\", \"bbox\": [351, 152, 361, 162]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4963841_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}834{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Body image perception, n (%)</b></td><td rowspan=\\\"2\\\"><b>Adjusted<sup>a</sup> OR (95 % CI)</b></td><td rowspan=\\\"2\\\"><b><i>P</i>-value</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Correct</b></td><td><b>Underestimated</b></td></tr></thead><tbody><tr><td>Exercise</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Daily</td><td>[EMPTY_CELL]</td><td>63 (65.6)</td><td>1.28 (0.76–2.16)</td><td>0.346</td></tr><tr><td>Sometimes</td><td>[EMPTY_CELL]</td><td>10 (10.4)</td><td>1.05 (0.47–2.35)</td><td>0.903</td></tr><tr><td>Never</td><td>[EMPTY_CELL]</td><td>23 (24.0)</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Snacking after dinner</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>[EMPTY_CELL]</td><td>56 (57.1)</td><td>1.44 (0.93–2.23)</td><td>0.100</td></tr><tr><td>No</td><td>[EMPTY_CELL]</td><td>42 (42.9)</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Skipping breakfast</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>[EMPTY_CELL]</td><td>91 (91.9)</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>[EMPTY_CELL]</td><td>8 (8.1)</td><td>1.33 (0.60–2.98)</td><td>0.485</td></tr><tr><td>Wakeup time</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Before 6:30</td><td>[EMPTY_CELL]</td><td>45 (46.4)</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>6:30–6:59</td><td>[EMPTY_CELL]</td><td>17 (17.5)</td><td>1.36 (0.74–2.51)</td><td>0.329</td></tr><tr><td>After 7:00</td><td>[EMPTY_CELL]</td><td>35 (36.1)</td><td>1.62 (1.00–2.64)</td><td>0.052</td></tr><tr><td>Bedtime</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Before 22:00</td><td>[EMPTY_CELL]</td><td>9 (9.5)</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>22:00–22:59</td><td>[EMPTY_CELL]</td><td>46 (48.4)</td><td>0.73 (0.33–1.63)</td><td>0.445</td></tr><tr><td>After 23:00</td><td>[EMPTY_CELL]</td><td>40 (42.1)</td><td>0.72 (0.32–1.63)</td><td>0.435</td></tr><tr><td>Hours of sleep</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>< 8</td><td>[EMPTY_CELL]</td><td>22 (23.4)</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>8–9</td><td>[EMPTY_CELL]</td><td>54 (57.4)</td><td>1.44 (0.85–2.46)</td><td>0.179</td></tr><tr><td>9+</td><td>[EMPTY_CELL]</td><td>18 (19.1)</td><td>1.85 (0.93–3.67)</td><td>0.081</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Body image perception, n (%)</b>\", \"bbox\": [63, 4, 120, 22]}, {\"cell\": \"<b>Adjusted<sup>a</sup> OR (95 % CI)</b>\", \"bbox\": [157, 2, 199, 22]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [212, 4, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Correct</b>\", \"bbox\": [63, 26, 88, 36]}, {\"cell\": \"<b>Underestimated</b>\", \"bbox\": [99, 26, 153, 36]}, {\"cell\": \"Exercise\", \"bbox\": [1, 39, 28, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Daily\", \"bbox\": [16, 53, 34, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 53, 96, 63]}, {\"cell\": \"63 (65.6)\", \"bbox\": [112, 53, 141, 63]}, {\"cell\": \"1.28 (0.76–2.16)\", \"bbox\": [157, 53, 208, 63]}, {\"cell\": \"0.346\", \"bbox\": [215, 53, 233, 63]}, {\"cell\": \"Sometimes\", \"bbox\": [16, 67, 54, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 67, 96, 77]}, {\"cell\": \"10 (10.4)\", \"bbox\": [112, 67, 141, 77]}, {\"cell\": \"1.05 (0.47–2.35)\", \"bbox\": [157, 67, 208, 77]}, {\"cell\": \"0.903\", \"bbox\": [215, 67, 233, 77]}, {\"cell\": \"Never\", \"bbox\": [16, 81, 37, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 81, 96, 91]}, {\"cell\": \"23 (24.0)\", \"bbox\": [112, 81, 141, 91]}, {\"cell\": \"1.00\", \"bbox\": [157, 81, 171, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Snacking after dinner\", \"bbox\": [1, 95, 48, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [16, 118, 29, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 118, 96, 128]}, {\"cell\": \"56 (57.1)\", \"bbox\": [112, 118, 141, 128]}, {\"cell\": \"1.44 (0.93–2.23)\", \"bbox\": [157, 118, 208, 128]}, {\"cell\": \"0.100\", \"bbox\": [215, 118, 233, 128]}, {\"cell\": \"No\", \"bbox\": [16, 132, 28, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 132, 96, 142]}, {\"cell\": \"42 (42.9)\", \"bbox\": [112, 132, 141, 142]}, {\"cell\": \"1.00\", \"bbox\": [157, 132, 171, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Skipping breakfast\", \"bbox\": [1, 146, 31, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [16, 169, 28, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 169, 96, 179]}, {\"cell\": \"91 (91.9)\", \"bbox\": [112, 169, 141, 179]}, {\"cell\": \"1.00\", \"bbox\": [157, 169, 171, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [16, 183, 29, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 183, 96, 193]}, {\"cell\": \"8 (8.1)\", \"bbox\": [119, 183, 141, 193]}, {\"cell\": \"1.33 (0.60–2.98)\", \"bbox\": [157, 183, 208, 193]}, {\"cell\": \"0.485\", \"bbox\": [215, 183, 233, 193]}, {\"cell\": \"Wakeup time\", \"bbox\": [1, 197, 45, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before 6:30\", \"bbox\": [16, 211, 54, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 211, 96, 221]}, {\"cell\": \"45 (46.4)\", \"bbox\": [112, 211, 141, 221]}, {\"cell\": \"1.00\", \"bbox\": [157, 211, 171, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6:30–6:59\", \"bbox\": [16, 225, 48, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 225, 96, 235]}, {\"cell\": \"17 (17.5)\", \"bbox\": [112, 225, 141, 235]}, {\"cell\": \"1.36 (0.74–2.51)\", \"bbox\": [157, 225, 208, 235]}, {\"cell\": \"0.329\", \"bbox\": [215, 225, 233, 235]}, {\"cell\": \"After 7:00\", \"bbox\": [16, 239, 49, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 239, 96, 249]}, {\"cell\": \"35 (36.1)\", \"bbox\": [112, 239, 141, 249]}, {\"cell\": \"1.62 (1.00–2.64)\", \"bbox\": [157, 239, 208, 249]}, {\"cell\": \"0.052\", \"bbox\": [215, 239, 233, 249]}, {\"cell\": \"Bedtime\", \"bbox\": [1, 253, 29, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Before 22:00\", \"bbox\": [16, 267, 58, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [70, 267, 96, 277]}, {\"cell\": \"9 (9.5)\", \"bbox\": [119, 267, 141, 277]}, {\"cell\": \"1.00\", \"bbox\": [157, 267, 171, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"22:00–22:59\", \"bbox\": [16, 281, 56, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 281, 96, 291]}, {\"cell\": \"46 (48.4)\", \"bbox\": [112, 281, 141, 291]}, {\"cell\": \"0.73 (0.33–1.63)\", \"bbox\": [157, 281, 208, 291]}, {\"cell\": \"0.445\", \"bbox\": [215, 281, 233, 291]}, {\"cell\": \"After 23:00\", \"bbox\": [16, 295, 53, 305]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 295, 96, 305]}, {\"cell\": \"40 (42.1)\", \"bbox\": [112, 295, 141, 305]}, {\"cell\": \"0.72 (0.32–1.63)\", \"bbox\": [157, 295, 208, 305]}, {\"cell\": \"0.435\", \"bbox\": [215, 295, 233, 305]}, {\"cell\": \"Hours of sleep\", \"bbox\": [1, 309, 49, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< 8\", \"bbox\": [18, 323, 30, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 323, 96, 333]}, {\"cell\": \"22 (23.4)\", \"bbox\": [112, 323, 141, 333]}, {\"cell\": \"1.00\", \"bbox\": [157, 323, 171, 333]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8–9\", \"bbox\": [16, 337, 30, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [63, 337, 96, 347]}, {\"cell\": \"54 (57.4)\", \"bbox\": [112, 337, 141, 347]}, {\"cell\": \"1.44 (0.85–2.46)\", \"bbox\": [157, 337, 208, 347]}, {\"cell\": \"0.179\", \"bbox\": [215, 337, 233, 347]}, {\"cell\": \"9+\", \"bbox\": [16, 351, 27, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [67, 351, 96, 361]}, {\"cell\": \"18 (19.1)\", \"bbox\": [112, 351, 141, 361]}, {\"cell\": \"1.85 (0.93–3.67)\", \"bbox\": [157, 351, 208, 361]}, {\"cell\": \"0.081\", \"bbox\": [215, 351, 233, 361]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4507316_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}835{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>PAEE (kJ/kg/d)<sup><i>2</i></sup></b></td><td><b><i>p</i>-value</b></td><td><b>Light PA (min/d)</b></td><td><b><i>p</i>-value</b></td><td><b>Moderate PA (min/d)</b></td><td><b><i>p</i>-value</b></td><td><b>Vigorous PA (min/d)</b></td><td><b><i>p</i>-value</b></td><td><b>Sedentary time (min/d)</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>Boys</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Ref: Weekday</td><td>90.5 (87.1 to 93.9)</td><td>[EMPTY_CELL]</td><td>575.3 (559.8 to 590.8)</td><td>[EMPTY_CELL]</td><td>52.7 (46.7 to 59.6)</td><td>[EMPTY_CELL]</td><td>5.0 (3.9 to 6.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Saturday</td><td>77.8 (73.3 to 82.4)</td><td><0.001</td><td>484.2 (466.1 to 502.4)</td><td><0.001</td><td>31.6 (26.7 to 37.3)</td><td><0.001</td><td>2.7 (1.9 to 3.6)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Sunday</td><td>74.2 (69.7 to 78.6)</td><td><0.001</td><td>468.2 (450.2 to 486.2)</td><td><0.001</td><td>21.4 (18.1 to 25.2)<sup><i>1</i></sup></td><td><0.001</td><td>2.4 (1.7 to 3.2)</td><td><0.001</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Girls</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Ref: Weekday</td><td>69.1 (65.9 to 72.2)</td><td>[EMPTY_CELL]</td><td>533.0 (517.0 to 549.0)</td><td>[EMPTY_CELL]</td><td>28.0 (24.1 to 32.5)</td><td>[EMPTY_CELL]</td><td>0.9 (0.7 to 1.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Saturday</td><td>70.3 (66.4 to 74.2)</td><td>0.517</td><td>510.3 (491.6 to 529.0)</td><td>0.005</td><td>16.0 (13.1 to 19.4)</td><td><0.001</td><td>0.8 (0.6 to 1.0)</td><td>0.329</td><td>[EMPTY_CELL]</td><td>0.014</td></tr><tr><td>Sunday</td><td>55.4 (51.6 to 59.3)<sup><i>1</i></sup></td><td><0.001</td><td>444.4 (425.7 to 463.2)<sup><i>1</i></sup></td><td><0.001</td><td>9.2 (7.5 to 11.2)<sup><i>1</i></sup></td><td><0.001</td><td>0.5 (0.4 to 0.7)<sup><i>2</i></sup></td><td><0.001</td><td>[EMPTY_CELL]</td><td>0.036</td></tr><tr><td>School term</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Ref: Summer</td><td>76.0 (72.4 to 79.6)</td><td>[EMPTY_CELL]</td><td>526.2 (508.6 to 543.8)</td><td>[EMPTY_CELL]</td><td>29.2 (25.5 to 33.5)</td><td>[EMPTY_CELL]</td><td>1.5 (1.2 to 1.9)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Autumn</td><td>72.7 (67.3 to 78.0)</td><td>0.310</td><td>520.5 (494.0 to 547.0)</td><td>0.726</td><td>21.3 (17.4 to 26.2)</td><td>0.012</td><td>1.7 (1.2 to 2.4)</td><td>0.619</td><td>[EMPTY_CELL]</td><td>0.481</td></tr><tr><td>Spring</td><td>70.7 (66.0 to 75.3)</td><td>0.068</td><td>490.5 (467.9 to 513.2)</td><td>0.012</td><td>23.1 (19.3 to 27.7)</td><td>0.042</td><td>1.3 (1.0 to 1.7)</td><td>0.326</td><td>[EMPTY_CELL]</td><td>0.010</td></tr><tr><td>Area-level SES</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Ref: Low</td><td>73.0 (68.2 to 77.7)</td><td>[EMPTY_CELL]</td><td>499.7 (477.0 to 522.3)</td><td>[EMPTY_CELL]</td><td>23.1 (18.8 to 28.4)</td><td>[EMPTY_CELL]</td><td>1.4 (1.0 to 2.0)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Middle</td><td>73.9 (69.9 to 77.9)</td><td>0.740</td><td>530.1 (511.1 to 549.2)</td><td>0.022</td><td>27.2 (23.0 to 32.3)</td><td>0.208</td><td>1.5 (1.1 to 1.9)</td><td>0.873</td><td>[EMPTY_CELL]</td><td>0.042</td></tr><tr><td>High</td><td>73.9 (71.0 to 76.8)</td><td>0.716</td><td>513.6 (499.5 to 527.6)</td><td>0.238</td><td>25.4 (22.6 to 28.5)</td><td>0.412</td><td>1.5 (1.3 to 1.9)</td><td>0.623</td><td>[EMPTY_CELL]</td><td>0.393</td></tr><tr><td>Body fat status<sup><i>3</i></sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Ref: Normal</td><td>73.9 (71.3 to 76.4)</td><td>[EMPTY_CELL]</td><td>515.3 (502.7 to 527.9)</td><td>[EMPTY_CELL]</td><td>25.5 (23.1 to 28.1)</td><td>[EMPTY_CELL]</td><td>1.6 (1.3 to 1.8)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Overfat</td><td>72.2 (66.5 to 77.8)</td><td>0.539</td><td>512.6 (488.3 to 536.9)</td><td>0.816</td><td>24.4 (18.9 to 31.5)</td><td>0.734</td><td>1.0 (0.7 to 1.5)</td><td>0.022</td><td>[EMPTY_CELL]</td><td>0.596</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>PAEE (kJ/kg/d)<sup><i>2</i></sup></b>\", \"bbox\": [68, 3, 121, 14]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [134, 4, 160, 14]}, {\"cell\": \"<b>Light PA (min/d)</b>\", \"bbox\": [178, 4, 234, 14]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [251, 4, 279, 14]}, {\"cell\": \"<b>Moderate PA (min/d)</b>\", \"bbox\": [288, 4, 363, 14]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [372, 4, 399, 14]}, {\"cell\": \"<b>Vigorous PA (min/d)</b>\", \"bbox\": [408, 4, 481, 14]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [490, 4, 517, 14]}, {\"cell\": \"<b>Sedentary time (min/d)</b>\", \"bbox\": [526, 4, 609, 14]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [618, 4, 645, 14]}, {\"cell\": \"Boys\", \"bbox\": [1, 17, 17, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref: Weekday\", \"bbox\": [10, 31, 55, 41]}, {\"cell\": \"90.5 (87.1 to 93.9)\", \"bbox\": [65, 31, 123, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"575.3 (559.8 to 590.8)\", \"bbox\": [171, 31, 241, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"52.7 (46.7 to 59.6)\", \"bbox\": [296, 31, 354, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5.0 (3.9 to 6.3)\", \"bbox\": [421, 31, 468, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 31, 603, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Saturday\", \"bbox\": [10, 45, 40, 55]}, {\"cell\": \"77.8 (73.3 to 82.4)\", \"bbox\": [65, 45, 124, 55]}, {\"cell\": \"<0.001\", \"bbox\": [136, 45, 159, 55]}, {\"cell\": \"484.2 (466.1 to 502.4)\", \"bbox\": [171, 45, 241, 55]}, {\"cell\": \"<0.001\", \"bbox\": [253, 45, 277, 55]}, {\"cell\": \"31.6 (26.7 to 37.3)\", \"bbox\": [296, 45, 354, 55]}, {\"cell\": \"<0.001\", \"bbox\": [374, 45, 397, 55]}, {\"cell\": \"2.7 (1.9 to 3.6)\", \"bbox\": [421, 45, 468, 55]}, {\"cell\": \"<0.001\", \"bbox\": [492, 45, 515, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 45, 603, 55]}, {\"cell\": \"<0.001\", \"bbox\": [620, 45, 643, 55]}, {\"cell\": \"Sunday\", \"bbox\": [10, 59, 35, 69]}, {\"cell\": \"74.2 (69.7 to 78.6)\", \"bbox\": [65, 59, 123, 69]}, {\"cell\": \"<0.001\", \"bbox\": [136, 59, 159, 69]}, {\"cell\": \"468.2 (450.2 to 486.2)\", \"bbox\": [171, 59, 241, 69]}, {\"cell\": \"<0.001\", \"bbox\": [253, 59, 277, 69]}, {\"cell\": \"21.4 (18.1 to 25.2)<sup><i>1</i></sup>\", \"bbox\": [295, 58, 356, 69]}, {\"cell\": \"<0.001\", \"bbox\": [374, 59, 397, 69]}, {\"cell\": \"2.4 (1.7 to 3.2)\", \"bbox\": [421, 59, 468, 69]}, {\"cell\": \"<0.001\", \"bbox\": [492, 59, 515, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 59, 603, 69]}, {\"cell\": \"<0.001\", \"bbox\": [620, 59, 643, 69]}, {\"cell\": \"Girls\", \"bbox\": [1, 73, 16, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref: Weekday\", \"bbox\": [10, 87, 55, 97]}, {\"cell\": \"69.1 (65.9 to 72.2)\", \"bbox\": [65, 87, 123, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"533.0 (517.0 to 549.0)\", \"bbox\": [171, 87, 241, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"28.0 (24.1 to 32.5)\", \"bbox\": [296, 87, 354, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.9 (0.7 to 1.1)\", \"bbox\": [421, 87, 468, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 87, 603, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Saturday\", \"bbox\": [10, 101, 40, 111]}, {\"cell\": \"70.3 (66.4 to 74.2)\", \"bbox\": [65, 101, 124, 111]}, {\"cell\": \"0.517\", \"bbox\": [138, 101, 157, 111]}, {\"cell\": \"510.3 (491.6 to 529.0)\", \"bbox\": [171, 101, 241, 111]}, {\"cell\": \"0.005\", \"bbox\": [256, 101, 274, 111]}, {\"cell\": \"16.0 (13.1 to 19.4)\", \"bbox\": [296, 101, 354, 111]}, {\"cell\": \"<0.001\", \"bbox\": [374, 101, 397, 111]}, {\"cell\": \"0.8 (0.6 to 1.0)\", \"bbox\": [421, 101, 468, 111]}, {\"cell\": \"0.329\", \"bbox\": [494, 101, 513, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 101, 603, 111]}, {\"cell\": \"0.014\", \"bbox\": [622, 101, 641, 111]}, {\"cell\": \"Sunday\", \"bbox\": [10, 115, 35, 125]}, {\"cell\": \"55.4 (51.6 to 59.3)<sup><i>1</i></sup>\", \"bbox\": [64, 114, 125, 125]}, {\"cell\": \"<0.001\", \"bbox\": [136, 115, 159, 125]}, {\"cell\": \"444.4 (425.7 to 463.2)<sup><i>1</i></sup>\", \"bbox\": [170, 114, 242, 125]}, {\"cell\": \"<0.001\", \"bbox\": [253, 115, 277, 125]}, {\"cell\": \"9.2 (7.5 to 11.2)<sup><i>1</i></sup>\", \"bbox\": [299, 114, 352, 125]}, {\"cell\": \"<0.001\", \"bbox\": [374, 115, 397, 125]}, {\"cell\": \"0.5 (0.4 to 0.7)<sup><i>2</i></sup>\", \"bbox\": [420, 114, 469, 125]}, {\"cell\": \"<0.001\", \"bbox\": [492, 115, 515, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [531, 114, 604, 125]}, {\"cell\": \"0.036\", \"bbox\": [622, 115, 641, 125]}, {\"cell\": \"School term\", \"bbox\": [1, 129, 41, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref: Summer\", \"bbox\": [10, 143, 53, 153]}, {\"cell\": \"76.0 (72.4 to 79.6)\", \"bbox\": [65, 143, 123, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"526.2 (508.6 to 543.8)\", \"bbox\": [171, 143, 241, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"29.2 (25.5 to 33.5)\", \"bbox\": [296, 143, 354, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.5 (1.2 to 1.9)\", \"bbox\": [421, 143, 468, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 143, 603, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Autumn\", \"bbox\": [10, 157, 38, 167]}, {\"cell\": \"72.7 (67.3 to 78.0)\", \"bbox\": [65, 157, 123, 167]}, {\"cell\": \"0.310\", \"bbox\": [138, 157, 157, 167]}, {\"cell\": \"520.5 (494.0 to 547.0)\", \"bbox\": [171, 157, 241, 167]}, {\"cell\": \"0.726\", \"bbox\": [256, 157, 274, 167]}, {\"cell\": \"21.3 (17.4 to 26.2)\", \"bbox\": [296, 157, 354, 167]}, {\"cell\": \"0.012\", \"bbox\": [376, 157, 395, 167]}, {\"cell\": \"1.7 (1.2 to 2.4)\", \"bbox\": [421, 157, 468, 167]}, {\"cell\": \"0.619\", \"bbox\": [494, 157, 513, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 157, 603, 167]}, {\"cell\": \"0.481\", \"bbox\": [622, 157, 641, 167]}, {\"cell\": \"Spring\", \"bbox\": [10, 171, 33, 181]}, {\"cell\": \"70.7 (66.0 to 75.3)\", \"bbox\": [65, 171, 123, 181]}, {\"cell\": \"0.068\", \"bbox\": [138, 171, 157, 181]}, {\"cell\": \"490.5 (467.9 to 513.2)\", \"bbox\": [171, 171, 241, 181]}, {\"cell\": \"0.012\", \"bbox\": [256, 171, 274, 181]}, {\"cell\": \"23.1 (19.3 to 27.7)\", \"bbox\": [296, 171, 354, 181]}, {\"cell\": \"0.042\", \"bbox\": [376, 171, 395, 181]}, {\"cell\": \"1.3 (1.0 to 1.7)\", \"bbox\": [421, 171, 468, 181]}, {\"cell\": \"0.326\", \"bbox\": [494, 171, 513, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 171, 603, 181]}, {\"cell\": \"0.010\", \"bbox\": [622, 171, 641, 181]}, {\"cell\": \"Area-level SES\", \"bbox\": [1, 185, 47, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref: Low\", \"bbox\": [10, 199, 39, 209]}, {\"cell\": \"73.0 (68.2 to 77.7)\", \"bbox\": [65, 199, 123, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"499.7 (477.0 to 522.3)\", \"bbox\": [171, 199, 241, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"23.1 (18.8 to 28.4)\", \"bbox\": [296, 199, 354, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.4 (1.0 to 2.0)\", \"bbox\": [421, 199, 468, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 199, 603, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Middle\", \"bbox\": [10, 213, 34, 223]}, {\"cell\": \"73.9 (69.9 to 77.9)\", \"bbox\": [65, 213, 123, 223]}, {\"cell\": \"0.740\", \"bbox\": [138, 213, 157, 223]}, {\"cell\": \"530.1 (511.1 to 549.2)\", \"bbox\": [171, 213, 241, 223]}, {\"cell\": \"0.022\", \"bbox\": [256, 213, 274, 223]}, {\"cell\": \"27.2 (23.0 to 32.3)\", \"bbox\": [296, 213, 354, 223]}, {\"cell\": \"0.208\", \"bbox\": [376, 213, 395, 223]}, {\"cell\": \"1.5 (1.1 to 1.9)\", \"bbox\": [421, 213, 468, 223]}, {\"cell\": \"0.873\", \"bbox\": [494, 213, 513, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 213, 603, 223]}, {\"cell\": \"0.042\", \"bbox\": [622, 213, 641, 223]}, {\"cell\": \"High\", \"bbox\": [10, 227, 27, 237]}, {\"cell\": \"73.9 (71.0 to 76.8)\", \"bbox\": [65, 227, 123, 237]}, {\"cell\": \"0.716\", \"bbox\": [138, 227, 157, 237]}, {\"cell\": \"513.6 (499.5 to 527.6)\", \"bbox\": [171, 227, 241, 237]}, {\"cell\": \"0.238\", \"bbox\": [256, 227, 274, 237]}, {\"cell\": \"25.4 (22.6 to 28.5)\", \"bbox\": [296, 227, 354, 237]}, {\"cell\": \"0.412\", \"bbox\": [376, 227, 395, 237]}, {\"cell\": \"1.5 (1.3 to 1.9)\", \"bbox\": [421, 227, 468, 237]}, {\"cell\": \"0.623\", \"bbox\": [494, 227, 513, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 227, 603, 237]}, {\"cell\": \"0.393\", \"bbox\": [622, 227, 641, 237]}, {\"cell\": \"Body fat status<sup><i>3</i></sup>\", \"bbox\": [1, 240, 53, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ref: Normal\", \"bbox\": [10, 255, 49, 265]}, {\"cell\": \"73.9 (71.3 to 76.4)\", \"bbox\": [65, 255, 123, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"515.3 (502.7 to 527.9)\", \"bbox\": [171, 255, 241, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"25.5 (23.1 to 28.1)\", \"bbox\": [296, 255, 354, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.6 (1.3 to 1.8)\", \"bbox\": [421, 255, 468, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 255, 603, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overfat\", \"bbox\": [10, 269, 35, 279]}, {\"cell\": \"72.2 (66.5 to 77.8)\", \"bbox\": [65, 269, 123, 279]}, {\"cell\": \"0.539\", \"bbox\": [138, 269, 157, 279]}, {\"cell\": \"512.6 (488.3 to 536.9)\", \"bbox\": [171, 269, 241, 279]}, {\"cell\": \"0.816\", \"bbox\": [256, 269, 274, 279]}, {\"cell\": \"24.4 (18.9 to 31.5)\", \"bbox\": [296, 269, 354, 279]}, {\"cell\": \"0.734\", \"bbox\": [376, 269, 395, 279]}, {\"cell\": \"1.0 (0.7 to 1.5)\", \"bbox\": [421, 269, 468, 279]}, {\"cell\": \"0.022\", \"bbox\": [494, 269, 513, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [533, 269, 603, 279]}, {\"cell\": \"0.596\", \"bbox\": [622, 269, 641, 279]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3936923_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}836{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Reported intensity menstrual flow</b></td></tr><tr><td><b>Characteristic</b></td><td><b>N (%)</b></td><td><b>Heavy</b></td><td><b>Normal</b></td><td><b>Light</b></td><td><b>p</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>304 (35.3)</b></td><td><b>340 (39.4)</b></td><td><b>218 (25.3)</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>Age at menarche (years)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.8</td></tr><tr><td>≤ 10</td><td>[EMPTY_CELL]</td><td>32 (43.8)</td><td>26 (35.6)</td><td>15 (20.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>11-12</td><td>[EMPTY_CELL]</td><td>128 (35.4)</td><td>143 (39.5)</td><td>91 (25.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>13-14</td><td>[EMPTY_CELL]</td><td>109 (33.1)</td><td>134 (40.7)</td><td>86 (26.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>≥ 15</td><td>[EMPTY_CELL]</td><td>32 (33.7)</td><td>37 (38.9)</td><td>26 (27.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of pregnancies</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>0</td><td>[EMPTY_CELL]</td><td>23 (24.0)</td><td>46 (47.9)</td><td>27 (28.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>1-3</td><td>[EMPTY_CELL]</td><td>197 (32.7)</td><td>251 (41.6)</td><td>155 (25.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>≥ 4</td><td>[EMPTY_CELL]</td><td>84 (51.5)</td><td>43 (26.4)</td><td>36 (22.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of abortions</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.3</td></tr><tr><td>0</td><td>[EMPTY_CELL]</td><td>215 (36.6)</td><td>233 (39.7)</td><td>139 (23.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>≥1</td><td>[EMPTY_CELL]</td><td>66 (36.9)</td><td>61 (34.1)</td><td>52 (29.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Contraceptive method currently in use<sup>1</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>None</td><td>[EMPTY_CELL]</td><td>14 (53.9)</td><td>6 (23.1)</td><td>6 (23.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Pill</td><td>[EMPTY_CELL]</td><td>102 (24.5)</td><td>177 (42.6)</td><td>137 (32.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>IUD</td><td>[EMPTY_CELL]</td><td>25 (56.8)</td><td>10 (22.7)</td><td>9 (20.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>Tubal ligation</td><td>[EMPTY_CELL]</td><td>63 (68.5)</td><td>16 (17.4)</td><td>13 (14.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>Injectable hormones</td><td>[EMPTY_CELL]</td><td>8 (22.9)</td><td>17 (48.6)</td><td>10 (28.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>Male preservative</td><td>[EMPTY_CELL]</td><td>46 (38.3)</td><td>52 (43.3)</td><td>22 (18.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Others</td><td>[EMPTY_CELL]</td><td>23 (31.5)</td><td>40 (54.8)</td><td>10 (13.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>Duration of menstrual periods (days)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>≤ 3</td><td>[EMPTY_CELL]</td><td>67 (20.2)</td><td>124 (37.5)</td><td>140 (42.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>[EMPTY_CELL]</td><td>50 (25.4)</td><td>104 (52.8)</td><td>43 (21.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>≥ 5</td><td>[EMPTY_CELL]</td><td>187 (56.0)</td><td>112 (33.5)</td><td>35 (10.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>Extra-menstrual bleeding</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>No</td><td>[EMPTY_CELL]</td><td>262 (33.3)</td><td>320 (40.7)</td><td>204 (26.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>[EMPTY_CELL]</td><td>42 (55.3)</td><td>20 (26.3)</td><td>14 (18.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Presence of blood clots</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>No</td><td>[EMPTY_CELL]</td><td>98 (24.6)</td><td>181 (45.5)</td><td>119 (29.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>Yes</td><td>[EMPTY_CELL]</td><td>206 (44.4)</td><td>159 (34.3)</td><td>99 (21.3)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Reported intensity menstrual flow</b>\", \"bbox\": [295, 4, 416, 13]}, {\"cell\": \"<b>Characteristic</b>\", \"bbox\": [55, 17, 104, 27]}, {\"cell\": \"<b>N (%)</b>\", \"bbox\": [182, 17, 203, 27]}, {\"cell\": \"<b>Heavy</b>\", \"bbox\": [248, 17, 271, 27]}, {\"cell\": \"<b>Normal</b>\", \"bbox\": [315, 17, 342, 27]}, {\"cell\": \"<b>Light</b>\", \"bbox\": [387, 17, 407, 27]}, {\"cell\": \"<b>p</b>\", \"bbox\": [455, 17, 462, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>304 (35.3)</b>\", \"bbox\": [241, 29, 278, 39]}, {\"cell\": \"<b>340 (39.4)</b>\", \"bbox\": [310, 29, 346, 39]}, {\"cell\": \"<b>218 (25.3)</b>\", \"bbox\": [378, 29, 415, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age at menarche (years)\", \"bbox\": [39, 42, 120, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.8\", \"bbox\": [453, 42, 464, 52]}, {\"cell\": \"≤ 10\", \"bbox\": [71, 54, 88, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 54, 206, 64]}, {\"cell\": \"32 (43.8)\", \"bbox\": [245, 54, 274, 64]}, {\"cell\": \"26 (35.6)\", \"bbox\": [314, 54, 343, 64]}, {\"cell\": \"15 (20.5)\", \"bbox\": [382, 54, 411, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11-12\", \"bbox\": [70, 66, 89, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 66, 209, 76]}, {\"cell\": \"128 (35.4)\", \"bbox\": [243, 66, 276, 76]}, {\"cell\": \"143 (39.5)\", \"bbox\": [312, 66, 345, 76]}, {\"cell\": \"91 (25.1)\", \"bbox\": [382, 66, 411, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13-14\", \"bbox\": [70, 78, 89, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 78, 209, 88]}, {\"cell\": \"109 (33.1)\", \"bbox\": [243, 78, 276, 88]}, {\"cell\": \"134 (40.7)\", \"bbox\": [312, 78, 345, 88]}, {\"cell\": \"86 (26.1)\", \"bbox\": [382, 78, 411, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥ 15\", \"bbox\": [71, 90, 88, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 90, 207, 100]}, {\"cell\": \"32 (33.7)\", \"bbox\": [245, 90, 274, 100]}, {\"cell\": \"37 (38.9)\", \"bbox\": [314, 90, 343, 100]}, {\"cell\": \"26 (27.4)\", \"bbox\": [382, 90, 411, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of pregnancies\", \"bbox\": [40, 102, 119, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [447, 102, 470, 112]}, {\"cell\": \"0\", \"bbox\": [76, 114, 82, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 114, 207, 124]}, {\"cell\": \"23 (24.0)\", \"bbox\": [245, 114, 274, 124]}, {\"cell\": \"46 (47.9)\", \"bbox\": [314, 114, 343, 124]}, {\"cell\": \"27 (28.1)\", \"bbox\": [382, 114, 411, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1-3\", \"bbox\": [73, 126, 85, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 126, 209, 136]}, {\"cell\": \"197 (32.7)\", \"bbox\": [243, 126, 276, 136]}, {\"cell\": \"251 (41.6)\", \"bbox\": [312, 126, 345, 136]}, {\"cell\": \"155 (25.7)\", \"bbox\": [380, 126, 413, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥ 4\", \"bbox\": [73, 138, 86, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 138, 209, 148]}, {\"cell\": \"84 (51.5)\", \"bbox\": [245, 138, 274, 148]}, {\"cell\": \"43 (26.4)\", \"bbox\": [314, 138, 343, 148]}, {\"cell\": \"36 (22.1)\", \"bbox\": [382, 138, 411, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of abortions\", \"bbox\": [45, 150, 114, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.3\", \"bbox\": [453, 150, 464, 159]}, {\"cell\": \"0\", \"bbox\": [76, 162, 82, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 162, 209, 171]}, {\"cell\": \"215 (36.6)\", \"bbox\": [243, 162, 276, 171]}, {\"cell\": \"233 (39.7)\", \"bbox\": [312, 162, 345, 171]}, {\"cell\": \"139 (23.7)\", \"bbox\": [380, 162, 413, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥1\", \"bbox\": [74, 174, 85, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 174, 209, 183]}, {\"cell\": \"66 (36.9)\", \"bbox\": [245, 174, 274, 183]}, {\"cell\": \"61 (34.1)\", \"bbox\": [314, 174, 343, 183]}, {\"cell\": \"52 (29.1)\", \"bbox\": [382, 174, 411, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Contraceptive method currently in use<sup>1</sup>\", \"bbox\": [15, 184, 144, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [447, 186, 470, 195]}, {\"cell\": \"None\", \"bbox\": [70, 198, 89, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 198, 206, 207]}, {\"cell\": \"14 (53.9)\", \"bbox\": [245, 198, 274, 207]}, {\"cell\": \"6 (23.1)\", \"bbox\": [315, 198, 341, 207]}, {\"cell\": \"6 (23.1)\", \"bbox\": [384, 198, 409, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Pill\", \"bbox\": [74, 210, 85, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 210, 209, 219]}, {\"cell\": \"102 (24.5)\", \"bbox\": [243, 210, 276, 219]}, {\"cell\": \"177 (42.6)\", \"bbox\": [312, 210, 345, 219]}, {\"cell\": \"137 (32.9)\", \"bbox\": [380, 210, 413, 219]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"IUD\", \"bbox\": [73, 222, 86, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 222, 206, 231]}, {\"cell\": \"25 (56.8)\", \"bbox\": [245, 222, 274, 231]}, {\"cell\": \"10 (22.7)\", \"bbox\": [314, 222, 343, 231]}, {\"cell\": \"9 (20.5)\", \"bbox\": [384, 222, 409, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tubal ligation\", \"bbox\": [57, 234, 102, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [178, 234, 207, 243]}, {\"cell\": \"63 (68.5)\", \"bbox\": [245, 234, 274, 243]}, {\"cell\": \"16 (17.4)\", \"bbox\": [314, 234, 343, 243]}, {\"cell\": \"13 (14.1)\", \"bbox\": [382, 234, 411, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Injectable hormones\", \"bbox\": [46, 246, 113, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 246, 206, 255]}, {\"cell\": \"8 (22.9)\", \"bbox\": [247, 246, 272, 255]}, {\"cell\": \"17 (48.6)\", \"bbox\": [314, 246, 343, 255]}, {\"cell\": \"10 (28.6)\", \"bbox\": [382, 246, 411, 255]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male preservative\", \"bbox\": [51, 258, 108, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 258, 209, 267]}, {\"cell\": \"46 (38.3)\", \"bbox\": [245, 258, 274, 267]}, {\"cell\": \"52 (43.3)\", \"bbox\": [314, 258, 343, 267]}, {\"cell\": \"22 (18.3)\", \"bbox\": [382, 258, 411, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Others\", \"bbox\": [68, 269, 91, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 269, 206, 279]}, {\"cell\": \"23 (31.5)\", \"bbox\": [245, 269, 274, 279]}, {\"cell\": \"40 (54.8)\", \"bbox\": [314, 269, 343, 279]}, {\"cell\": \"10 (13.7)\", \"bbox\": [382, 269, 411, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Duration of menstrual periods (days)\", \"bbox\": [19, 281, 139, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [447, 281, 470, 291]}, {\"cell\": \"≤ 3\", \"bbox\": [73, 293, 86, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 293, 209, 303]}, {\"cell\": \"67 (20.2)\", \"bbox\": [245, 293, 274, 303]}, {\"cell\": \"124 (37.5)\", \"bbox\": [312, 293, 345, 303]}, {\"cell\": \"140 (42.3)\", \"bbox\": [380, 293, 413, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [76, 305, 82, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 305, 209, 315]}, {\"cell\": \"50 (25.4)\", \"bbox\": [245, 305, 274, 315]}, {\"cell\": \"104 (52.8)\", \"bbox\": [312, 305, 345, 315]}, {\"cell\": \"43 (21.8)\", \"bbox\": [382, 305, 411, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥ 5\", \"bbox\": [73, 317, 86, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 317, 209, 327]}, {\"cell\": \"187 (56.0)\", \"bbox\": [243, 317, 276, 327]}, {\"cell\": \"112 (33.5)\", \"bbox\": [312, 317, 345, 327]}, {\"cell\": \"35 (10.5)\", \"bbox\": [382, 317, 411, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Extra-menstrual bleeding\", \"bbox\": [38, 329, 120, 339]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.001\", \"bbox\": [449, 329, 468, 339]}, {\"cell\": \"No\", \"bbox\": [74, 341, 85, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 341, 209, 351]}, {\"cell\": \"262 (33.3)\", \"bbox\": [243, 341, 276, 351]}, {\"cell\": \"320 (40.7)\", \"bbox\": [312, 341, 345, 351]}, {\"cell\": \"204 (26.0)\", \"bbox\": [380, 341, 413, 351]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [73, 353, 86, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [180, 353, 206, 363]}, {\"cell\": \"42 (55.3)\", \"bbox\": [245, 353, 274, 363]}, {\"cell\": \"20 (26.3)\", \"bbox\": [314, 353, 343, 363]}, {\"cell\": \"14 (18.4)\", \"bbox\": [382, 353, 411, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Presence of blood clots\", \"bbox\": [40, 365, 118, 375]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [447, 365, 470, 375]}, {\"cell\": \"No\", \"bbox\": [74, 377, 85, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 377, 209, 387]}, {\"cell\": \"98 (24.6)\", \"bbox\": [245, 377, 274, 387]}, {\"cell\": \"181 (45.5)\", \"bbox\": [312, 377, 345, 387]}, {\"cell\": \"119 (29.9)\", \"bbox\": [380, 377, 413, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [73, 389, 86, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [176, 389, 209, 399]}, {\"cell\": \"206 (44.4)\", \"bbox\": [243, 389, 276, 399]}, {\"cell\": \"159 (34.3)\", \"bbox\": [312, 389, 345, 399]}, {\"cell\": \"99 (21.3)\", \"bbox\": [382, 389, 411, 399]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3118185_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}837{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>PD patients with successful PM recording (<i>n</i> = 28)</b></td><td><b>PD patients with PM recording failure (<i>n</i> = 9)</b></td><td><b>PD patients who declined PM (<i>n</i> = 7)</b></td><td><b>Controls (<i>n</i> = 56)</b></td></tr></thead><tbody><tr><td><i>Clinical data</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Sex (% male)</td><td>71.4</td><td>[EMPTY_CELL]</td><td>57.1</td><td>71.4</td></tr><tr><td>Age (years)</td><td>64.6 (11.0)</td><td>[EMPTY_CELL]</td><td>66.4 (8.2)</td><td>64.9 (10.4)</td></tr><tr><td>Body Mass Index (kg/m<sup>2</sup>)</td><td>27.9 (3.7)</td><td>[EMPTY_CELL]</td><td>28.3 (4.0)</td><td>—</td></tr><tr><td>Hoehn and Yahr </td><td>2.0 (0.9)<i>(Range: 1.0 to 4.0)</i></td><td>[EMPTY_CELL]</td><td>2.4 (0.4)<i>(Range: 2.0 to 3.0)</i></td><td>—</td></tr><tr><td>Total UPDRS</td><td>52.5 (25.2)</td><td>[EMPTY_CELL]</td><td>45.7 (14.3)</td><td>—</td></tr><tr><td>Motor UPDRS </td><td>25.0 (14.1)</td><td>[EMPTY_CELL]</td><td>20.6 (8.7)</td><td>—</td></tr><tr><td>PD duration (years)</td><td>5.3 (5.2)</td><td>[EMPTY_CELL]</td><td>6.9 (5.9)</td><td>—</td></tr><tr><td>MOCA score </td><td>25.4 (3.7)<i>(Range: 18 to 30)</i></td><td>[EMPTY_CELL]</td><td>25.0 (2.9)<i>(Range: 22 to 30)</i></td><td>—</td></tr><tr><td>Levodopa equivalence dose (mg/day)</td><td>701.2 (902.3)</td><td>[EMPTY_CELL]</td><td>609.1 (210.0)</td><td>—</td></tr><tr><td>Proportion (%) on negative chronotropic medication°</td><td>17.8</td><td>[EMPTY_CELL]</td><td>14.3</td><td>—</td></tr><tr><td>Proportion (%) with dysautonomia<sup>¶</sup></td><td>42.9</td><td>[EMPTY_CELL]</td><td>42.9</td><td>—</td></tr><tr><td>FVC (L)</td><td>4.0 (1.0)</td><td>[EMPTY_CELL]</td><td>3.2 (0.9)</td><td>—</td></tr><tr><td>FVC % pred.</td><td>109 (26.2)</td><td>[EMPTY_CELL]</td><td>99.3 (10.5)</td><td>—</td></tr><tr><td>FEV1 (L)</td><td>3.0 (0.8)</td><td>[EMPTY_CELL]</td><td>2.3 (0.7)</td><td>—</td></tr><tr><td>FEV1 % pred.</td><td>103 (25.7)</td><td>[EMPTY_CELL]</td><td>87.0 (17.0)</td><td>—</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>PD patients with successful PM recording (<i>n</i> = 28)</b>\", \"bbox\": [207, 4, 275, 37]}, {\"cell\": \"<b>PD patients with PM recording failure (<i>n</i> = 9)</b>\", \"bbox\": [294, 4, 356, 37]}, {\"cell\": \"<b>PD patients who declined PM (<i>n</i> = 7)</b>\", \"bbox\": [378, 4, 439, 37]}, {\"cell\": \"<b>Controls (<i>n</i> = 56)</b>\", \"bbox\": [461, 9, 494, 32]}, {\"cell\": \"<i>Clinical data</i>\", \"bbox\": [2, 38, 49, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sex (% male)\", \"bbox\": [2, 51, 51, 62]}, {\"cell\": \"71.4\", \"bbox\": [233, 52, 249, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 52, 333, 62]}, {\"cell\": \"57.1\", \"bbox\": [402, 52, 416, 62]}, {\"cell\": \"71.4\", \"bbox\": [470, 52, 486, 62]}, {\"cell\": \"Age (years)\", \"bbox\": [2, 64, 45, 75]}, {\"cell\": \"64.6 (11.0)\", \"bbox\": [222, 65, 260, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 65, 343, 76]}, {\"cell\": \"66.4 (8.2)\", \"bbox\": [391, 65, 427, 76]}, {\"cell\": \"64.9 (10.4)\", \"bbox\": [458, 65, 498, 76]}, {\"cell\": \"Body Mass Index (kg/m<sup>2</sup>)\", \"bbox\": [2, 73, 97, 88]}, {\"cell\": \"27.9 (3.7)\", \"bbox\": [224, 78, 258, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 78, 342, 89]}, {\"cell\": \"28.3 (4.0)\", \"bbox\": [391, 78, 427, 89]}, {\"cell\": \"—\", \"bbox\": [473, 78, 483, 89]}, {\"cell\": \"Hoehn and Yahr \", \"bbox\": [2, 95, 64, 106]}, {\"cell\": \"2.0 (0.9)<i>(Range: 1.0 to 4.0)</i>\", \"bbox\": [208, 91, 273, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [292, 91, 357, 112]}, {\"cell\": \"2.4 (0.4)<i>(Range: 2.0 to 3.0)</i>\", \"bbox\": [376, 91, 442, 112]}, {\"cell\": \"—\", \"bbox\": [473, 96, 483, 107]}, {\"cell\": \"Total UPDRS\", \"bbox\": [2, 114, 53, 124]}, {\"cell\": \"52.5 (25.2)\", \"bbox\": [221, 114, 260, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [304, 114, 345, 125]}, {\"cell\": \"45.7 (14.3)\", \"bbox\": [389, 114, 428, 125]}, {\"cell\": \"—\", \"bbox\": [473, 114, 483, 125]}, {\"cell\": \"Motor UPDRS \", \"bbox\": [2, 127, 57, 138]}, {\"cell\": \"25.0 (14.1)\", \"bbox\": [222, 128, 259, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 128, 343, 138]}, {\"cell\": \"20.6 (8.7)\", \"bbox\": [391, 128, 427, 138]}, {\"cell\": \"—\", \"bbox\": [473, 128, 483, 138]}, {\"cell\": \"PD duration (years)\", \"bbox\": [2, 140, 76, 151]}, {\"cell\": \"5.3 (5.2)\", \"bbox\": [225, 141, 256, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [309, 141, 340, 152]}, {\"cell\": \"6.9 (5.9)\", \"bbox\": [393, 141, 424, 152]}, {\"cell\": \"—\", \"bbox\": [473, 141, 483, 152]}, {\"cell\": \"MOCA score \", \"bbox\": [2, 158, 52, 168]}, {\"cell\": \"25.4 (3.7)<i>(Range: 18 to 30)</i>\", \"bbox\": [210, 153, 271, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 153, 356, 174]}, {\"cell\": \"25.0 (2.9)<i>(Range: 22 to 30)</i>\", \"bbox\": [378, 153, 440, 174]}, {\"cell\": \"—\", \"bbox\": [473, 159, 483, 169]}, {\"cell\": \"Levodopa equivalence dose (mg/day)\", \"bbox\": [2, 176, 138, 187]}, {\"cell\": \"701.2 (902.3)\", \"bbox\": [217, 177, 264, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [301, 177, 348, 188]}, {\"cell\": \"609.1 (210.0)\", \"bbox\": [385, 177, 432, 188]}, {\"cell\": \"—\", \"bbox\": [473, 177, 483, 188]}, {\"cell\": \"Proportion (%) on negative chronotropic medication°\", \"bbox\": [2, 186, 196, 200]}, {\"cell\": \"17.8\", \"bbox\": [234, 190, 248, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 190, 333, 201]}, {\"cell\": \"14.3\", \"bbox\": [401, 190, 416, 201]}, {\"cell\": \"—\", \"bbox\": [473, 190, 483, 201]}, {\"cell\": \"Proportion (%) with dysautonomia<sup>¶</sup>\", \"bbox\": [2, 201, 133, 213]}, {\"cell\": \"42.9\", \"bbox\": [232, 204, 249, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 204, 333, 214]}, {\"cell\": \"42.9\", \"bbox\": [400, 204, 417, 214]}, {\"cell\": \"—\", \"bbox\": [473, 204, 483, 214]}, {\"cell\": \"FVC (L)\", \"bbox\": [2, 216, 34, 227]}, {\"cell\": \"4.0 (1.0)\", \"bbox\": [225, 217, 256, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [310, 217, 340, 228]}, {\"cell\": \"3.2 (0.9)\", \"bbox\": [393, 217, 424, 228]}, {\"cell\": \"—\", \"bbox\": [473, 217, 483, 228]}, {\"cell\": \"FVC % pred.\", \"bbox\": [2, 229, 50, 240]}, {\"cell\": \"109 (26.2)\", \"bbox\": [222, 230, 259, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [304, 230, 345, 241]}, {\"cell\": \"99.3 (10.5)\", \"bbox\": [389, 230, 428, 241]}, {\"cell\": \"—\", \"bbox\": [473, 230, 483, 241]}, {\"cell\": \"FEV1 (L)\", \"bbox\": [2, 243, 37, 253]}, {\"cell\": \"3.0 (0.8)\", \"bbox\": [225, 243, 256, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [309, 243, 340, 254]}, {\"cell\": \"2.3 (0.7)\", \"bbox\": [393, 243, 424, 254]}, {\"cell\": \"—\", \"bbox\": [473, 243, 483, 254]}, {\"cell\": \"FEV1 % pred.\", \"bbox\": [2, 256, 53, 266]}, {\"cell\": \"103 (25.7)\", \"bbox\": [223, 257, 259, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [306, 257, 343, 267]}, {\"cell\": \"87.0 (17.0)\", \"bbox\": [391, 257, 427, 267]}, {\"cell\": \"—\", \"bbox\": [473, 257, 483, 267]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4621364_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}838{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\"><b>Survivors (<i>n</i> = 82)</b></td><td rowspan=\\\"2\\\"><b>Non-survivors (<i>n</i> = 15)</b></td><td rowspan=\\\"2\\\"><b><i>p</i> value</b></td><td colspan=\\\"3\\\"><b>Univariate logistic regression</b></td></tr><tr><td><b>OR</b></td><td><b>95% CI</b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\">Baseline characteristics</td></tr><tr><td> Gender (female), <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>4 (26.7)</td><td>0.158</td><td>0.36</td><td>0.11–1.24</td><td>0.105</td></tr><tr><td> Age (years), median [IQR]</td><td>[EMPTY_CELL]</td><td>67.0 [65.0–75.0]</td><td>0.212</td><td>0.98</td><td>0.94–1.02</td><td>0.311</td></tr><tr><td> Hypertension, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>3 (20.0)</td><td>0.158</td><td>0.39</td><td>0.10–1.49</td><td>0.169</td></tr><tr><td> ANCA</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>c-ANCA type, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>7 (46.7)</td><td>0.157</td><td>0.45</td><td>0.15–1.38</td><td>0.164</td></tr><tr><td> AAV relapse, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>1 (6.7)</td><td>0.185</td><td>0.24</td><td>0.03–1.92</td><td>0.177</td></tr><tr><td colspan=\\\"7\\\">AAV involvement</td></tr><tr><td> Heart, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>3 (20.0)</td><td>0.723</td><td>1.21</td><td>0.30–4.87</td><td>0.784</td></tr><tr><td> CNS, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>3 (20.0)</td><td>0.104</td><td>3.85</td><td>0.81–18.2</td><td>0.089</td></tr><tr><td> Digestive, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>2 (13.3)</td><td>0.626</td><td>1.64</td><td>0.31–8.83</td><td>0.559</td></tr><tr><td> ENT, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>3 (21.4)</td><td>0.159</td><td>0.37</td><td>0.10–1.41</td><td>0.147</td></tr><tr><td colspan=\\\"7\\\">Kidney</td></tr><tr><td>Serum creatinine (μmol/L), median [IQR]</td><td>[EMPTY_CELL]</td><td>229.0 [104.0–682.0]</td><td>0.824</td><td>1.00</td><td>0.99–1.00</td><td>0.878</td></tr><tr><td>AKIN > 1, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>15 (100)</td><td>0.351</td><td>1.51</td><td>0.17–13.1</td><td>0.706</td></tr><tr><td>RRT, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>12 (80.0)</td><td>0.086</td><td>3.53</td><td>0.93–13.5</td><td>0.064</td></tr><tr><td> Lung, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>14 (93.3)</td><td>0.685</td><td>2.17</td><td>0.26–18.2</td><td>0.475</td></tr><tr><td>DAH, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>11 (73.3)</td><td>0.562</td><td>1.67</td><td>0.49–5.71</td><td>0.412</td></tr><tr><td>Respiratory assistance, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>14 (93.3)</td><td>0.032</td><td>8.51</td><td>1.07–67.9</td><td>0.043</td></tr><tr><td>Infectious event, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>13 (86.7)</td><td><0.001</td><td>14.0</td><td>2.94–66.6</td><td>0.001</td></tr><tr><td>Vasopressors, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>9 (60.0)</td><td>0.002</td><td>5.73</td><td>1.79–18.4</td><td>0.003</td></tr><tr><td>Plasma exchange*, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>7 (46.7)</td><td>0.949</td><td>0.96</td><td>0.32–2.91</td><td>0.949</td></tr><tr><td>Cyclophosphamide*, <i>n</i> (%)</td><td>[EMPTY_CELL]</td><td>14 (93.3)</td><td>0.032</td><td>8.51</td><td>1.07–67.9</td><td>0.043</td></tr><tr><td>SAPS II, median [IQR]</td><td>[EMPTY_CELL]</td><td>52.0 [33.0–66.0]</td><td>0.006</td><td>1.06</td><td>1.02–1.10</td><td>0.003</td></tr><tr><td>SOFA, median [IQR]</td><td>[EMPTY_CELL]</td><td>8.0 [6.0–13.0]</td><td>0.040</td><td>1.21</td><td>1.04–1.41</td><td>0.013</td></tr><tr><td>BVAS, median [IQR]</td><td>[EMPTY_CELL]</td><td>21.0 [20.0–27.0]</td><td>0.916</td><td>1.01</td><td>0.94–1.08</td><td>0.899</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Survivors (<i>n</i> = 82)</b>\", \"bbox\": [155, 4, 218, 14]}, {\"cell\": \"<b>Non-survivors (<i>n</i> = 15)</b>\", \"bbox\": [237, 4, 317, 14]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [328, 4, 355, 14]}, {\"cell\": \"<b>Univariate logistic regression</b>\", \"bbox\": [376, 4, 478, 14]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [376, 20, 388, 30]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [410, 20, 436, 30]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [465, 20, 471, 30]}, {\"cell\": \"Baseline characteristics\", \"bbox\": [0, 38, 76, 48]}, {\"cell\": \" Gender (female), <i>n</i> (%)\", \"bbox\": [5, 50, 78, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 50, 179, 60]}, {\"cell\": \"4 (26.7)\", \"bbox\": [237, 50, 262, 60]}, {\"cell\": \"0.158\", \"bbox\": [333, 50, 352, 60]}, {\"cell\": \"0.36\", \"bbox\": [380, 50, 395, 60]}, {\"cell\": \"0.11–1.24\", \"bbox\": [427, 50, 459, 60]}, {\"cell\": \"0.105\", \"bbox\": [465, 50, 484, 60]}, {\"cell\": \" Age (years), median [IQR]\", \"bbox\": [5, 62, 87, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 62, 206, 72]}, {\"cell\": \"67.0 [65.0–75.0]\", \"bbox\": [237, 62, 288, 72]}, {\"cell\": \"0.212\", \"bbox\": [333, 62, 352, 72]}, {\"cell\": \"0.98\", \"bbox\": [380, 62, 395, 72]}, {\"cell\": \"0.94–1.02\", \"bbox\": [427, 62, 459, 72]}, {\"cell\": \"0.311\", \"bbox\": [465, 62, 484, 72]}, {\"cell\": \" Hypertension, <i>n</i> (%)\", \"bbox\": [5, 74, 70, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 74, 184, 84]}, {\"cell\": \"3 (20.0)\", \"bbox\": [237, 74, 262, 84]}, {\"cell\": \"0.158\", \"bbox\": [333, 74, 352, 84]}, {\"cell\": \"0.39\", \"bbox\": [380, 74, 395, 84]}, {\"cell\": \"0.10–1.49\", \"bbox\": [427, 74, 459, 84]}, {\"cell\": \"0.169\", \"bbox\": [465, 74, 484, 84]}, {\"cell\": \" ANCA\", \"bbox\": [5, 86, 26, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"c-ANCA type, <i>n</i> (%)\", \"bbox\": [11, 99, 73, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 99, 184, 108]}, {\"cell\": \"7 (46.7)\", \"bbox\": [237, 99, 262, 108]}, {\"cell\": \"0.157\", \"bbox\": [333, 99, 352, 108]}, {\"cell\": \"0.45\", \"bbox\": [380, 99, 395, 108]}, {\"cell\": \"0.15–1.38\", \"bbox\": [427, 99, 459, 108]}, {\"cell\": \"0.164\", \"bbox\": [465, 99, 484, 108]}, {\"cell\": \" AAV relapse, <i>n</i> (%)\", \"bbox\": [5, 111, 64, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 111, 184, 120]}, {\"cell\": \"1 (6.7)\", \"bbox\": [237, 111, 258, 120]}, {\"cell\": \"0.185\", \"bbox\": [333, 111, 352, 120]}, {\"cell\": \"0.24\", \"bbox\": [380, 111, 395, 120]}, {\"cell\": \"0.03–1.92\", \"bbox\": [427, 111, 459, 120]}, {\"cell\": \"0.177\", \"bbox\": [465, 111, 484, 120]}, {\"cell\": \"AAV involvement\", \"bbox\": [0, 123, 57, 132]}, {\"cell\": \" Heart, <i>n</i> (%)\", \"bbox\": [5, 135, 44, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 135, 184, 144]}, {\"cell\": \"3 (20.0)\", \"bbox\": [237, 135, 262, 144]}, {\"cell\": \"0.723\", \"bbox\": [333, 135, 352, 144]}, {\"cell\": \"1.21\", \"bbox\": [380, 135, 395, 144]}, {\"cell\": \"0.30–4.87\", \"bbox\": [427, 135, 459, 144]}, {\"cell\": \"0.784\", \"bbox\": [465, 135, 484, 144]}, {\"cell\": \" CNS, <i>n</i> (%)\", \"bbox\": [5, 147, 40, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 147, 176, 156]}, {\"cell\": \"3 (20.0)\", \"bbox\": [237, 147, 262, 156]}, {\"cell\": \"0.104\", \"bbox\": [333, 147, 352, 156]}, {\"cell\": \"3.85\", \"bbox\": [380, 147, 395, 156]}, {\"cell\": \"0.81–18.2\", \"bbox\": [427, 147, 459, 156]}, {\"cell\": \"0.089\", \"bbox\": [465, 147, 484, 156]}, {\"cell\": \" Digestive, <i>n</i> (%)\", \"bbox\": [5, 159, 56, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 159, 176, 169]}, {\"cell\": \"2 (13.3)\", \"bbox\": [237, 159, 262, 169]}, {\"cell\": \"0.626\", \"bbox\": [333, 159, 352, 169]}, {\"cell\": \"1.64\", \"bbox\": [380, 159, 395, 169]}, {\"cell\": \"0.31–8.83\", \"bbox\": [427, 159, 459, 169]}, {\"cell\": \"0.559\", \"bbox\": [465, 159, 484, 169]}, {\"cell\": \" ENT, <i>n</i> (%)\", \"bbox\": [5, 171, 39, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 171, 184, 181]}, {\"cell\": \"3 (21.4)\", \"bbox\": [237, 171, 262, 181]}, {\"cell\": \"0.159\", \"bbox\": [333, 171, 352, 181]}, {\"cell\": \"0.37\", \"bbox\": [380, 171, 395, 181]}, {\"cell\": \"0.10–1.41\", \"bbox\": [427, 171, 459, 181]}, {\"cell\": \"0.147\", \"bbox\": [465, 171, 484, 181]}, {\"cell\": \"Kidney\", \"bbox\": [0, 183, 24, 193]}, {\"cell\": \"Serum creatinine (μmol/L), median [IQR]\", \"bbox\": [11, 195, 141, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 195, 218, 205]}, {\"cell\": \"229.0 [104.0–682.0]\", \"bbox\": [237, 195, 300, 205]}, {\"cell\": \"0.824\", \"bbox\": [333, 195, 352, 205]}, {\"cell\": \"1.00\", \"bbox\": [380, 195, 395, 205]}, {\"cell\": \"0.99–1.00\", \"bbox\": [427, 195, 459, 205]}, {\"cell\": \"0.878\", \"bbox\": [465, 195, 484, 205]}, {\"cell\": \"AKIN > 1, <i>n</i> (%)\", \"bbox\": [11, 207, 60, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 207, 184, 217]}, {\"cell\": \"15 (100)\", \"bbox\": [237, 207, 264, 217]}, {\"cell\": \"0.351\", \"bbox\": [333, 207, 352, 217]}, {\"cell\": \"1.51\", \"bbox\": [380, 207, 395, 217]}, {\"cell\": \"0.17–13.1\", \"bbox\": [427, 207, 459, 217]}, {\"cell\": \"0.706\", \"bbox\": [465, 207, 484, 217]}, {\"cell\": \"RRT, <i>n</i> (%)\", \"bbox\": [11, 220, 44, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 220, 184, 229]}, {\"cell\": \"12 (80.0)\", \"bbox\": [237, 220, 266, 229]}, {\"cell\": \"0.086\", \"bbox\": [333, 220, 352, 229]}, {\"cell\": \"3.53\", \"bbox\": [380, 220, 395, 229]}, {\"cell\": \"0.93–13.5\", \"bbox\": [427, 220, 459, 229]}, {\"cell\": \"0.064\", \"bbox\": [465, 220, 484, 229]}, {\"cell\": \" Lung, <i>n</i> (%)\", \"bbox\": [5, 232, 43, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 232, 184, 241]}, {\"cell\": \"14 (93.3)\", \"bbox\": [237, 232, 266, 241]}, {\"cell\": \"0.685\", \"bbox\": [333, 232, 352, 241]}, {\"cell\": \"2.17\", \"bbox\": [380, 232, 395, 241]}, {\"cell\": \"0.26–18.2\", \"bbox\": [427, 232, 459, 241]}, {\"cell\": \"0.475\", \"bbox\": [465, 232, 484, 241]}, {\"cell\": \"DAH, <i>n</i> (%)\", \"bbox\": [11, 244, 47, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 244, 184, 253]}, {\"cell\": \"11 (73.3)\", \"bbox\": [237, 244, 266, 253]}, {\"cell\": \"0.562\", \"bbox\": [333, 244, 352, 253]}, {\"cell\": \"1.67\", \"bbox\": [380, 244, 395, 253]}, {\"cell\": \"0.49–5.71\", \"bbox\": [427, 244, 459, 253]}, {\"cell\": \"0.412\", \"bbox\": [465, 244, 484, 253]}, {\"cell\": \"Respiratory assistance, <i>n</i> (%)\", \"bbox\": [11, 256, 102, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 256, 184, 265]}, {\"cell\": \"14 (93.3)\", \"bbox\": [237, 256, 266, 265]}, {\"cell\": \"0.032\", \"bbox\": [333, 256, 352, 265]}, {\"cell\": \"8.51\", \"bbox\": [380, 256, 395, 265]}, {\"cell\": \"1.07–67.9\", \"bbox\": [427, 256, 459, 265]}, {\"cell\": \"0.043\", \"bbox\": [465, 256, 484, 265]}, {\"cell\": \"Infectious event, <i>n</i> (%)\", \"bbox\": [0, 268, 73, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 268, 184, 277]}, {\"cell\": \"13 (86.7)\", \"bbox\": [237, 268, 266, 277]}, {\"cell\": \"<0.001\", \"bbox\": [328, 268, 352, 277]}, {\"cell\": \"14.0\", \"bbox\": [376, 268, 391, 277]}, {\"cell\": \"2.94–66.6\", \"bbox\": [427, 268, 459, 277]}, {\"cell\": \"0.001\", \"bbox\": [465, 268, 484, 277]}, {\"cell\": \"Vasopressors, <i>n</i> (%)\", \"bbox\": [0, 280, 62, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 280, 184, 290]}, {\"cell\": \"9 (60.0)\", \"bbox\": [237, 280, 262, 290]}, {\"cell\": \"0.002\", \"bbox\": [333, 280, 352, 290]}, {\"cell\": \"5.73\", \"bbox\": [380, 280, 395, 290]}, {\"cell\": \"1.79–18.4\", \"bbox\": [427, 280, 459, 290]}, {\"cell\": \"0.003\", \"bbox\": [465, 280, 484, 290]}, {\"cell\": \"Plasma exchange*, <i>n</i> (%)\", \"bbox\": [0, 292, 80, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 292, 184, 302]}, {\"cell\": \"7 (46.7)\", \"bbox\": [237, 292, 262, 302]}, {\"cell\": \"0.949\", \"bbox\": [333, 292, 352, 302]}, {\"cell\": \"0.96\", \"bbox\": [380, 292, 395, 302]}, {\"cell\": \"0.32–2.91\", \"bbox\": [427, 292, 459, 302]}, {\"cell\": \"0.949\", \"bbox\": [465, 292, 484, 302]}, {\"cell\": \"Cyclophosphamide*, <i>n</i> (%)\", \"bbox\": [0, 304, 87, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 304, 184, 314]}, {\"cell\": \"14 (93.3)\", \"bbox\": [237, 304, 266, 314]}, {\"cell\": \"0.032\", \"bbox\": [333, 304, 352, 314]}, {\"cell\": \"8.51\", \"bbox\": [380, 304, 395, 314]}, {\"cell\": \"1.07–67.9\", \"bbox\": [427, 304, 459, 314]}, {\"cell\": \"0.043\", \"bbox\": [465, 304, 484, 314]}, {\"cell\": \"SAPS II, median [IQR]\", \"bbox\": [0, 316, 68, 326]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 316, 206, 326]}, {\"cell\": \"52.0 [33.0–66.0]\", \"bbox\": [237, 316, 288, 326]}, {\"cell\": \"0.006\", \"bbox\": [333, 316, 352, 326]}, {\"cell\": \"1.06\", \"bbox\": [380, 316, 395, 326]}, {\"cell\": \"1.02–1.10\", \"bbox\": [427, 316, 459, 326]}, {\"cell\": \"0.003\", \"bbox\": [465, 316, 484, 326]}, {\"cell\": \"SOFA, median [IQR]\", \"bbox\": [0, 328, 64, 338]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 328, 195, 338]}, {\"cell\": \"8.0 [6.0–13.0]\", \"bbox\": [237, 328, 280, 338]}, {\"cell\": \"0.040\", \"bbox\": [333, 328, 352, 338]}, {\"cell\": \"1.21\", \"bbox\": [380, 328, 395, 338]}, {\"cell\": \"1.04–1.41\", \"bbox\": [427, 328, 459, 338]}, {\"cell\": \"0.013\", \"bbox\": [465, 328, 484, 338]}, {\"cell\": \"BVAS, median [IQR]\", \"bbox\": [0, 341, 63, 350]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [155, 341, 206, 350]}, {\"cell\": \"21.0 [20.0–27.0]\", \"bbox\": [237, 341, 288, 350]}, {\"cell\": \"0.916\", \"bbox\": [333, 341, 352, 350]}, {\"cell\": \"1.01\", \"bbox\": [380, 341, 395, 350]}, {\"cell\": \"0.94–1.08\", \"bbox\": [427, 341, 459, 350]}, {\"cell\": \"0.899\", \"bbox\": [465, 341, 484, 350]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5382116_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}839{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Clinical and epidemiological variables<sup>a</sup></b></td><td><b>Discovery cohort</b></td><td><b>Validation cohort</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>Genetic background</td><td>[EMPTY_CELL]</td><td>CEU</td><td>-</td></tr><tr><td>Number of individuals (<i>N</i>)</td><td>[EMPTY_CELL]</td><td>425</td><td>-</td></tr><tr><td>Gender (% females)</td><td>[EMPTY_CELL]</td><td>398 (93.65%)</td><td>0.37</td></tr><tr><td>Average age at onset (m ± SD)</td><td>[EMPTY_CELL]</td><td>32.39 ± 13.32</td><td>0.22</td></tr><tr><td>Malar rash (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>183/175</td><td>1.00</td></tr><tr><td>Discoid rash (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>49/309</td><td>0.74</td></tr><tr><td>Photosensitivity (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>173/185</td><td>0.20</td></tr><tr><td>Oral ulcers (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>172/186</td><td>0.15</td></tr><tr><td>Arthritis (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>267/91</td><td>0.54</td></tr><tr><td>Serositis (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>122/236</td><td>0.34</td></tr><tr><td>Renal disorder (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>108/250</td><td>0.38</td></tr><tr><td>Neurologic disorder (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>35/293</td><td>0.10</td></tr><tr><td>Hematologic disorder (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>337/21</td><td>0.63</td></tr><tr><td>Immunologic disorder (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>292/66</td><td>0.77</td></tr><tr><td>Antinuclear antibodies (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)</td><td>[EMPTY_CELL]</td><td>347/11</td><td>0.84</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Clinical and epidemiological variables<sup>a</sup></b>\", \"bbox\": [1, 2, 125, 13]}, {\"cell\": \"<b>Discovery cohort</b>\", \"bbox\": [202, 4, 259, 13]}, {\"cell\": \"<b>Validation cohort</b>\", \"bbox\": [336, 4, 392, 13]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [470, 4, 475, 12]}, {\"cell\": \"Genetic background\", \"bbox\": [1, 17, 68, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 17, 218, 27]}, {\"cell\": \"CEU\", \"bbox\": [336, 17, 351, 27]}, {\"cell\": \"-\", \"bbox\": [470, 17, 474, 27]}, {\"cell\": \"Number of individuals (<i>N</i>)\", \"bbox\": [1, 31, 85, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 31, 216, 41]}, {\"cell\": \"425\", \"bbox\": [336, 31, 349, 41]}, {\"cell\": \"-\", \"bbox\": [470, 31, 474, 41]}, {\"cell\": \"Gender (% females)\", \"bbox\": [1, 45, 65, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 45, 245, 55]}, {\"cell\": \"398 (93.65%)\", \"bbox\": [336, 45, 378, 55]}, {\"cell\": \"0.37\", \"bbox\": [470, 45, 484, 55]}, {\"cell\": \"Average age at onset (m ± SD)\", \"bbox\": [1, 59, 101, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 59, 246, 69]}, {\"cell\": \"32.39 ± 13.32\", \"bbox\": [336, 59, 379, 69]}, {\"cell\": \"0.22\", \"bbox\": [470, 59, 484, 69]}, {\"cell\": \"Malar rash (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [1, 71, 59, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 73, 230, 83]}, {\"cell\": \"183/175\", \"bbox\": [336, 73, 363, 83]}, {\"cell\": \"1.00\", \"bbox\": [470, 73, 484, 83]}, {\"cell\": \"Discoid rash (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [0, 85, 66, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 87, 226, 97]}, {\"cell\": \"49/309\", \"bbox\": [336, 87, 360, 97]}, {\"cell\": \"0.74\", \"bbox\": [470, 87, 484, 97]}, {\"cell\": \"Photosensitivity (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [1, 99, 77, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 101, 230, 111]}, {\"cell\": \"173/185\", \"bbox\": [336, 101, 363, 111]}, {\"cell\": \"0.20\", \"bbox\": [470, 101, 484, 111]}, {\"cell\": \"Oral ulcers (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [1, 113, 60, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 115, 230, 125]}, {\"cell\": \"172/186\", \"bbox\": [336, 115, 363, 125]}, {\"cell\": \"0.15\", \"bbox\": [470, 115, 484, 125]}, {\"cell\": \"Arthritis (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [1, 127, 51, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 129, 226, 139]}, {\"cell\": \"267/91\", \"bbox\": [336, 129, 360, 139]}, {\"cell\": \"0.54\", \"bbox\": [470, 129, 484, 139]}, {\"cell\": \"Serositis (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [1, 141, 52, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 143, 230, 153]}, {\"cell\": \"122/236\", \"bbox\": [336, 143, 363, 153]}, {\"cell\": \"0.34\", \"bbox\": [470, 143, 484, 153]}, {\"cell\": \"Renal disorder (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [1, 155, 72, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 157, 230, 167]}, {\"cell\": \"108/250\", \"bbox\": [336, 157, 363, 167]}, {\"cell\": \"0.38\", \"bbox\": [470, 157, 484, 167]}, {\"cell\": \"Neurologic disorder (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [1, 169, 90, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 171, 226, 181]}, {\"cell\": \"35/293\", \"bbox\": [336, 171, 360, 181]}, {\"cell\": \"0.10\", \"bbox\": [470, 171, 484, 181]}, {\"cell\": \"Hematologic disorder (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [1, 183, 96, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 185, 226, 195]}, {\"cell\": \"337/21\", \"bbox\": [336, 185, 360, 195]}, {\"cell\": \"0.63\", \"bbox\": [470, 185, 484, 195]}, {\"cell\": \"Immunologic disorder (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [1, 197, 98, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 199, 226, 209]}, {\"cell\": \"292/66\", \"bbox\": [336, 199, 360, 209]}, {\"cell\": \"0.77\", \"bbox\": [470, 199, 484, 209]}, {\"cell\": \"Antinuclear antibodies (<i>N</i><sup>+</sup>/<i>N</i><sup>-</sup>)\", \"bbox\": [1, 211, 99, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [202, 213, 226, 223]}, {\"cell\": \"347/11\", \"bbox\": [336, 213, 360, 223]}, {\"cell\": \"0.84\", \"bbox\": [470, 213, 484, 223]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5471877_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}840{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"5\\\"><b>Flesh </b></td><td colspan=\\\"5\\\"><b>Seed</b></td></tr><tr><td><b><i>m</i>/<i>z</i></b></td><td><b>U</b></td><td><b>B</b></td><td><b>M</b></td><td><b>E</b></td><td><b>W</b></td><td><b>U</b></td><td><b>B</b></td><td><b>M</b></td><td><b>E</b></td><td><b>W</b></td></tr></thead><tbody><tr><td><i>Trans</i>-ferulic acid</td><td>193.0506</td><td>X </td><td>X</td><td>X </td><td>X </td><td>X </td><td>[EMPTY_CELL]</td><td>X </td><td>[EMPTY_CELL]</td><td>X </td><td>X </td></tr><tr><td>p-coumaric acid</td><td>163.0401</td><td>X</td><td>X</td><td>X </td><td>X</td><td>X</td><td>X </td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>hydroxybenzoic acid </td><td>137.0244</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X </td><td>X </td><td>[EMPTY_CELL]</td><td>X </td><td>X </td></tr><tr><td>Salicylic acid</td><td>137.0244</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[x] </td><td>[x] </td><td>X </td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Catechin</td><td>289.0718</td><td>X </td><td>[EMPTY_CELL]</td><td>X </td><td>X </td><td>X </td><td>X </td><td>X </td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X </td></tr><tr><td>Gallic acid</td><td>169.0143</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>Kaempferol</td><td>285.0405</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Naringenin</td><td>271.0612</td><td>X</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Quercetin</td><td>301.0354</td><td>X </td><td>[EMPTY_CELL]</td><td>X </td><td>X </td><td>X </td><td>X </td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[x]</td></tr><tr><td>Quercetin 3-glucoside</td><td>463.0882</td><td>X </td><td>X </td><td>X </td><td>X</td><td>X </td><td>X</td><td>X </td><td>[EMPTY_CELL]</td><td>X </td><td>X </td></tr><tr><td>Quercetin 3 rutinoside</td><td>609.1461</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>Quercetin 3-xyloside</td><td>433.0776</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[x]</td></tr><tr><td>Chlorogenic acid</td><td>353.0878</td><td>X</td><td>[EMPTY_CELL]</td><td>[x]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[x]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X </td><td>[EMPTY_CELL]</td></tr><tr><td>Cinnamic acid</td><td>147.0452</td><td>X </td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Vanillic acid</td><td>167.0350</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Isorhamnetin-3-glucoside</td><td>477.1039</td><td>[x]</td><td>[EMPTY_CELL]</td><td>[x]</td><td>[x]</td><td>[x]</td><td>X </td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>Quercetin 3,4′-diglucoside</td><td>625.1410</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X </td></tr><tr><td>Procyanidin B1</td><td>577.1352</td><td>[x]</td><td>[EMPTY_CELL]</td><td>[x] </td><td>[x] </td><td>[x]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[x] </td></tr><tr><td>Eriodicyol 7-glucoside</td><td>449.1089</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X </td><td>X </td></tr><tr><td>Ellagic acid</td><td>300.9990</td><td>[EMPTY_CELL]</td><td>X </td><td>X</td><td>X</td><td>X</td><td>X</td><td>X </td><td>[EMPTY_CELL]</td><td>X</td><td>X </td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Flesh </b>\", \"bbox\": [189, 4, 208, 11]}, {\"cell\": \"<b>Seed</b>\", \"bbox\": [339, 4, 356, 11]}, {\"cell\": \"<b><i>m</i>/<i>z</i></b>\", \"bbox\": [100, 16, 113, 23]}, {\"cell\": \"<b>U</b>\", \"bbox\": [137, 16, 144, 23]}, {\"cell\": \"<b>B</b>\", \"bbox\": [172, 16, 178, 23]}, {\"cell\": \"<b>M</b>\", \"bbox\": [199, 16, 208, 23]}, {\"cell\": \"<b>E</b>\", \"bbox\": [229, 16, 236, 23]}, {\"cell\": \"<b>W</b>\", \"bbox\": [257, 16, 266, 23]}, {\"cell\": \"<b>U</b>\", \"bbox\": [286, 16, 294, 23]}, {\"cell\": \"<b>B</b>\", \"bbox\": [315, 16, 322, 23]}, {\"cell\": \"<b>M</b>\", \"bbox\": [343, 16, 352, 23]}, {\"cell\": \"<b>E</b>\", \"bbox\": [373, 16, 379, 23]}, {\"cell\": \"<b>W</b>\", \"bbox\": [401, 16, 410, 23]}, {\"cell\": \"<i>Trans</i>-ferulic acid\", \"bbox\": [19, 29, 74, 38]}, {\"cell\": \"193.0506\", \"bbox\": [96, 29, 123, 38]}, {\"cell\": \"X \", \"bbox\": [137, 29, 144, 38]}, {\"cell\": \"X\", \"bbox\": [172, 29, 178, 38]}, {\"cell\": \"X \", \"bbox\": [201, 29, 207, 38]}, {\"cell\": \"X \", \"bbox\": [229, 29, 236, 38]}, {\"cell\": \"X \", \"bbox\": [258, 29, 265, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [315, 29, 322, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 29, 351, 38]}, {\"cell\": \"X \", \"bbox\": [373, 29, 380, 38]}, {\"cell\": \"X \", \"bbox\": [402, 29, 408, 38]}, {\"cell\": \"p-coumaric acid\", \"bbox\": [21, 37, 73, 46]}, {\"cell\": \"163.0401\", \"bbox\": [96, 37, 123, 46]}, {\"cell\": \"X\", \"bbox\": [137, 37, 144, 46]}, {\"cell\": \"X\", \"bbox\": [172, 37, 178, 46]}, {\"cell\": \"X \", \"bbox\": [201, 37, 207, 46]}, {\"cell\": \"X\", \"bbox\": [229, 37, 236, 46]}, {\"cell\": \"X\", \"bbox\": [258, 37, 265, 46]}, {\"cell\": \"X \", \"bbox\": [287, 37, 293, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 37, 351, 46]}, {\"cell\": \"X\", \"bbox\": [373, 37, 380, 46]}, {\"cell\": \"X\", \"bbox\": [402, 37, 408, 46]}, {\"cell\": \"hydroxybenzoic acid \", \"bbox\": [13, 46, 80, 55]}, {\"cell\": \"137.0244\", \"bbox\": [96, 46, 123, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [287, 46, 293, 55]}, {\"cell\": \"X \", \"bbox\": [315, 46, 322, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 46, 351, 55]}, {\"cell\": \"X \", \"bbox\": [373, 46, 380, 55]}, {\"cell\": \"X \", \"bbox\": [402, 46, 408, 55]}, {\"cell\": \"Salicylic acid\", \"bbox\": [26, 54, 68, 63]}, {\"cell\": \"137.0244\", \"bbox\": [96, 54, 123, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x] \", \"bbox\": [199, 54, 209, 63]}, {\"cell\": \"[x] \", \"bbox\": [227, 54, 238, 63]}, {\"cell\": \"X \", \"bbox\": [258, 54, 265, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Catechin\", \"bbox\": [32, 63, 61, 72]}, {\"cell\": \"289.0718\", \"bbox\": [96, 63, 123, 72]}, {\"cell\": \"X \", \"bbox\": [137, 63, 144, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [201, 63, 207, 72]}, {\"cell\": \"X \", \"bbox\": [229, 63, 236, 72]}, {\"cell\": \"X \", \"bbox\": [258, 63, 265, 72]}, {\"cell\": \"X \", \"bbox\": [287, 63, 293, 72]}, {\"cell\": \"X \", \"bbox\": [315, 63, 322, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 63, 351, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [402, 63, 408, 72]}, {\"cell\": \"Gallic acid\", \"bbox\": [29, 71, 64, 81]}, {\"cell\": \"169.0143\", \"bbox\": [96, 71, 123, 81]}, {\"cell\": \"X\", \"bbox\": [137, 71, 144, 81]}, {\"cell\": \"X\", \"bbox\": [172, 71, 178, 81]}, {\"cell\": \"X\", \"bbox\": [201, 71, 207, 81]}, {\"cell\": \"X\", \"bbox\": [229, 71, 236, 81]}, {\"cell\": \"X\", \"bbox\": [258, 71, 265, 81]}, {\"cell\": \"X\", \"bbox\": [287, 71, 293, 81]}, {\"cell\": \"X\", \"bbox\": [315, 71, 322, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 71, 351, 81]}, {\"cell\": \"X\", \"bbox\": [373, 71, 380, 81]}, {\"cell\": \"X\", \"bbox\": [402, 71, 408, 81]}, {\"cell\": \"Kaempferol\", \"bbox\": [28, 80, 66, 89]}, {\"cell\": \"285.0405\", \"bbox\": [96, 80, 123, 89]}, {\"cell\": \"X\", \"bbox\": [137, 80, 144, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [201, 80, 207, 89]}, {\"cell\": \"X\", \"bbox\": [229, 80, 236, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Naringenin\", \"bbox\": [28, 89, 66, 98]}, {\"cell\": \"271.0612\", \"bbox\": [96, 89, 123, 98]}, {\"cell\": \"X\", \"bbox\": [137, 89, 144, 98]}, {\"cell\": \"X\", \"bbox\": [172, 89, 178, 98]}, {\"cell\": \"X\", \"bbox\": [201, 89, 207, 98]}, {\"cell\": \"X\", \"bbox\": [229, 89, 236, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [287, 89, 293, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 89, 351, 98]}, {\"cell\": \"X\", \"bbox\": [373, 89, 380, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quercetin\", \"bbox\": [30, 97, 63, 106]}, {\"cell\": \"301.0354\", \"bbox\": [96, 97, 123, 106]}, {\"cell\": \"X \", \"bbox\": [137, 97, 144, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [201, 97, 207, 106]}, {\"cell\": \"X \", \"bbox\": [229, 97, 236, 106]}, {\"cell\": \"X \", \"bbox\": [258, 97, 265, 106]}, {\"cell\": \"X \", \"bbox\": [287, 97, 293, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 97, 351, 106]}, {\"cell\": \"X\", \"bbox\": [373, 97, 380, 106]}, {\"cell\": \"[x]\", \"bbox\": [400, 97, 410, 106]}, {\"cell\": \"Quercetin 3-glucoside\", \"bbox\": [12, 106, 82, 115]}, {\"cell\": \"463.0882\", \"bbox\": [96, 106, 123, 115]}, {\"cell\": \"X \", \"bbox\": [137, 106, 144, 115]}, {\"cell\": \"X \", \"bbox\": [172, 106, 178, 115]}, {\"cell\": \"X \", \"bbox\": [201, 106, 207, 115]}, {\"cell\": \"X\", \"bbox\": [229, 106, 236, 115]}, {\"cell\": \"X \", \"bbox\": [258, 106, 265, 115]}, {\"cell\": \"X\", \"bbox\": [287, 106, 293, 115]}, {\"cell\": \"X \", \"bbox\": [315, 106, 322, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 106, 351, 115]}, {\"cell\": \"X \", \"bbox\": [373, 106, 380, 115]}, {\"cell\": \"X \", \"bbox\": [402, 106, 408, 115]}, {\"cell\": \"Quercetin 3 rutinoside\", \"bbox\": [11, 114, 82, 123]}, {\"cell\": \"609.1461\", \"bbox\": [96, 114, 123, 123]}, {\"cell\": \"X\", \"bbox\": [137, 114, 144, 123]}, {\"cell\": \"X\", \"bbox\": [172, 114, 178, 123]}, {\"cell\": \"X\", \"bbox\": [201, 114, 207, 123]}, {\"cell\": \"X\", \"bbox\": [229, 114, 236, 123]}, {\"cell\": \"X\", \"bbox\": [258, 114, 265, 123]}, {\"cell\": \"X\", \"bbox\": [287, 114, 293, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 114, 351, 123]}, {\"cell\": \"X\", \"bbox\": [373, 114, 380, 123]}, {\"cell\": \"X\", \"bbox\": [402, 114, 408, 123]}, {\"cell\": \"Quercetin 3-xyloside\", \"bbox\": [14, 123, 80, 132]}, {\"cell\": \"433.0776\", \"bbox\": [96, 123, 123, 132]}, {\"cell\": \"X\", \"bbox\": [137, 123, 144, 132]}, {\"cell\": \"X\", \"bbox\": [172, 123, 178, 132]}, {\"cell\": \"X\", \"bbox\": [201, 123, 207, 132]}, {\"cell\": \"X\", \"bbox\": [229, 123, 236, 132]}, {\"cell\": \"X\", \"bbox\": [258, 123, 265, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 123, 351, 132]}, {\"cell\": \"X\", \"bbox\": [373, 123, 380, 132]}, {\"cell\": \"[x]\", \"bbox\": [400, 123, 410, 132]}, {\"cell\": \"Chlorogenic acid\", \"bbox\": [20, 132, 74, 141]}, {\"cell\": \"353.0878\", \"bbox\": [96, 132, 123, 141]}, {\"cell\": \"X\", \"bbox\": [137, 132, 144, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x]\", \"bbox\": [199, 132, 209, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x]\", \"bbox\": [285, 132, 295, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 132, 351, 141]}, {\"cell\": \"X \", \"bbox\": [373, 132, 380, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cinnamic acid\", \"bbox\": [23, 140, 70, 149]}, {\"cell\": \"147.0452\", \"bbox\": [96, 140, 123, 149]}, {\"cell\": \"X \", \"bbox\": [137, 140, 144, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Vanillic acid\", \"bbox\": [27, 149, 67, 158]}, {\"cell\": \"167.0350\", \"bbox\": [96, 149, 123, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [287, 149, 293, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Isorhamnetin-3-glucoside\", \"bbox\": [6, 157, 87, 166]}, {\"cell\": \"477.1039\", \"bbox\": [96, 157, 123, 166]}, {\"cell\": \"[x]\", \"bbox\": [136, 157, 146, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x]\", \"bbox\": [199, 157, 209, 166]}, {\"cell\": \"[x]\", \"bbox\": [227, 157, 238, 166]}, {\"cell\": \"[x]\", \"bbox\": [256, 157, 266, 166]}, {\"cell\": \"X \", \"bbox\": [287, 157, 293, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 157, 351, 166]}, {\"cell\": \"X\", \"bbox\": [373, 157, 380, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Quercetin 3,4′-diglucoside\", \"bbox\": [5, 165, 88, 175]}, {\"cell\": \"625.1410\", \"bbox\": [96, 166, 123, 175]}, {\"cell\": \"X\", \"bbox\": [137, 166, 144, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [201, 166, 207, 175]}, {\"cell\": \"X\", \"bbox\": [229, 166, 236, 175]}, {\"cell\": \"X\", \"bbox\": [258, 166, 265, 175]}, {\"cell\": \"X\", \"bbox\": [287, 166, 293, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 166, 353, 175]}, {\"cell\": \"X\", \"bbox\": [373, 166, 380, 175]}, {\"cell\": \"X \", \"bbox\": [402, 166, 408, 175]}, {\"cell\": \"Procyanidin B1\", \"bbox\": [22, 175, 71, 184]}, {\"cell\": \"577.1352\", \"bbox\": [96, 175, 123, 184]}, {\"cell\": \"[x]\", \"bbox\": [136, 175, 146, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x] \", \"bbox\": [199, 175, 209, 184]}, {\"cell\": \"[x] \", \"bbox\": [227, 175, 238, 184]}, {\"cell\": \"[x]\", \"bbox\": [256, 175, 266, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 175, 351, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[x] \", \"bbox\": [400, 175, 410, 184]}, {\"cell\": \"Eriodicyol 7-glucoside\", \"bbox\": [11, 183, 82, 192]}, {\"cell\": \"449.1089\", \"bbox\": [96, 183, 123, 192]}, {\"cell\": \"X\", \"bbox\": [137, 183, 144, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [201, 183, 207, 192]}, {\"cell\": \"X\", \"bbox\": [229, 183, 236, 192]}, {\"cell\": \"X\", \"bbox\": [258, 183, 265, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 183, 351, 192]}, {\"cell\": \"X \", \"bbox\": [373, 183, 380, 192]}, {\"cell\": \"X \", \"bbox\": [402, 183, 408, 192]}, {\"cell\": \"Ellagic acid\", \"bbox\": [28, 192, 66, 201]}, {\"cell\": \"300.9990\", \"bbox\": [96, 192, 123, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X \", \"bbox\": [172, 192, 178, 201]}, {\"cell\": \"X\", \"bbox\": [201, 192, 207, 201]}, {\"cell\": \"X\", \"bbox\": [229, 192, 236, 201]}, {\"cell\": \"X\", \"bbox\": [258, 192, 265, 201]}, {\"cell\": \"X\", \"bbox\": [287, 192, 293, 201]}, {\"cell\": \"X \", \"bbox\": [315, 192, 322, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 192, 351, 201]}, {\"cell\": \"X\", \"bbox\": [373, 192, 380, 201]}, {\"cell\": \"X \", \"bbox\": [402, 192, 408, 201]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5977091_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}841{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Functional Category</b></td><td><b>Representative Genes</b></td><td><b>Average p-value</b></td></tr></thead><tbody><tr><td>stress response</td><td><i>ATP1, VMA1, CIT2, <b>HAL1, PCK1</b>, STM1, <b>SLX4</b>, HMF1, <b>APJ1</b>, AIM14, YVC1, GSH2, <b>GSH1</b>, <b>MIG3</b>, <b>SSC1, FRT1</b>, HKR1,IZH13</i></td><td>[EMPTY_CELL]</td></tr><tr><td>cell cycle control</td><td><i>Figure <b>1</b><b>, KEL2, MPS1, RAD24, VHS1, BAR1, SPO22, SSP2, SSP1, SPO11, HOP2</b>, CDC28</i></td><td>[EMPTY_CELL]</td></tr><tr><td>carbohydrate metabolism/energy metabolism</td><td><i><b>QCR8</b>, VMA5<b>, MTH1, KGD2, ISA1</b>, CPS1, <b>PDE1, MLS1, ATP18, ATP19, VMA11, YIA6, RIB1</b></i></td><td>[EMPTY_CELL]</td></tr><tr><td>ribosome assembly/ protein synthesis</td><td><i>RPS3, RPS13, RPL7A, RPS6B, RPS2, RPS16B, RPS21B, RPS9B, RPS23B, RPS0B, RPS22B, RPS8A, RPS7A, RPS24B; RPL43B, RPL2A, RRP5, RPL18A, PRE5, RPS17B, RPS5, RPL8A, RPS30A, RPL16A, RPS18B, RPL26A</i></td><td>[EMPTY_CELL]</td></tr><tr><td>transcription / translation regulation</td><td><i>ACS1, DED81, PMT4, <b>SPT2</b>, HTS1, SES1, BUR6, URA4, PRO3, THS1, ARC1, TEF4, CDC73, ADK1, TRP2, ARO8, IMD4, EGD1, TIF4631, GLN4, ILV2,CGI121, <b>STP1, SLU7</b>, MMF1, ARO4, ARG4, <b>PRP45</b>, URA5<b>, DDS1</b>, LYS2, POL5</i></td><td>[EMPTY_CELL]</td></tr><tr><td>protein degradation</td><td><i>PRE9, OLA1, <b>VID24</b>, <b>DAS1</b>, <b>SAN1</b>, UBA1, <b>YLR224W</b>, <b>PEX28</b>, <b>PIB1</b></i></td><td>[EMPTY_CELL]</td></tr><tr><td>vesicle trafficking</td><td><i>VPH1, CHC1, SEC 23, VAC8, SAM50, FEN1, EMP70, VPS75, TRX1,<b>BET1</b>, VPS1, <b>ATG23</b>, COG1</i></td><td>[EMPTY_CELL]</td></tr><tr><td>cell wall related proteins</td><td><i>ROT2, KRE5, <b>SKG1</b>, PMT6, <b>GAS4</b></i></td><td>[EMPTY_CELL]</td></tr><tr><td>cell nucleus trafficking</td><td><i>NUP192, NUP188, <b>NUP42</b>, NUP133, NUP82, KAP104</i></td><td>[EMPTY_CELL]</td></tr><tr><td>sulfur metabolism</td><td><i>HOM2, <b>MET4</b></i></td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Functional Category</b>\", \"bbox\": [0, 25, 65, 37]}, {\"cell\": \"<b>Representative Genes</b>\", \"bbox\": [66, 25, 137, 37]}, {\"cell\": \"<b>Average p-value</b>\", \"bbox\": [205, 14, 241, 37]}, {\"cell\": \"stress response\", \"bbox\": [0, 48, 48, 59]}, {\"cell\": \"<i>ATP1, VMA1, CIT2, <b>HAL1, PCK1</b>, STM1, <b>SLX4</b>, HMF1, <b>APJ1</b>, AIM14, YVC1, GSH2, <b>GSH1</b>, <b>MIG3</b>, <b>SSC1, FRT1</b>, HKR1,IZH13</i>\", \"bbox\": [66, 37, 192, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 48, 227, 59]}, {\"cell\": \"cell cycle control\", \"bbox\": [0, 81, 50, 92]}, {\"cell\": \"<i>Figure <b>1</b><b>, KEL2, MPS1, RAD24, VHS1, BAR1, SPO22, SSP2, SSP1, SPO11, HOP2</b>, CDC28</i>\", \"bbox\": [66, 70, 199, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 81, 223, 92]}, {\"cell\": \"carbohydrate metabolism/energy metabolism\", \"bbox\": [0, 103, 57, 136]}, {\"cell\": \"<i><b>QCR8</b>, VMA5<b>, MTH1, KGD2, ISA1</b>, CPS1, <b>PDE1, MLS1, ATP18, ATP19, VMA11, YIA6, RIB1</b></i>\", \"bbox\": [66, 103, 199, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 114, 223, 125]}, {\"cell\": \"ribosome assembly/ protein synthesis\", \"bbox\": [0, 158, 60, 180]}, {\"cell\": \"<i>RPS3, RPS13, RPL7A, RPS6B, RPS2, RPS16B, RPS21B, RPS9B, RPS23B, RPS0B, RPS22B, RPS8A, RPS7A, RPS24B; RPL43B, RPL2A, RRP5, RPL18A, PRE5, RPS17B, RPS5, RPL8A, RPS30A, RPL16A, RPS18B, RPL26A</i>\", \"bbox\": [66, 136, 198, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 164, 223, 175]}, {\"cell\": \"transcription / translation regulation\", \"bbox\": [0, 219, 42, 252]}, {\"cell\": \"<i>ACS1, DED81, PMT4, <b>SPT2</b>, HTS1, SES1, BUR6, URA4, PRO3, THS1, ARC1, TEF4, CDC73, ADK1, TRP2, ARO8, IMD4, EGD1, TIF4631, GLN4, ILV2,CGI121, <b>STP1, SLU7</b>, MMF1, ARO4, ARG4, <b>PRP45</b>, URA5<b>, DDS1</b>, LYS2, POL5</i>\", \"bbox\": [66, 202, 197, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 230, 223, 241]}, {\"cell\": \"protein degradation\", \"bbox\": [0, 274, 58, 285]}, {\"cell\": \"<i>PRE9, OLA1, <b>VID24</b>, <b>DAS1</b>, <b>SAN1</b>, UBA1, <b>YLR224W</b>, <b>PEX28</b>, <b>PIB1</b></i>\", \"bbox\": [66, 269, 192, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 274, 223, 285]}, {\"cell\": \"vesicle trafficking\", \"bbox\": [0, 302, 52, 313]}, {\"cell\": \"<i>VPH1, CHC1, SEC 23, VAC8, SAM50, FEN1, EMP70, VPS75, TRX1,<b>BET1</b>, VPS1, <b>ATG23</b>, COG1</i>\", \"bbox\": [66, 291, 200, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 302, 227, 313]}, {\"cell\": \"cell wall related proteins\", \"bbox\": [0, 324, 47, 346]}, {\"cell\": \"<i>ROT2, KRE5, <b>SKG1</b>, PMT6, <b>GAS4</b></i>\", \"bbox\": [66, 329, 170, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 329, 227, 340]}, {\"cell\": \"cell nucleus trafficking\", \"bbox\": [0, 346, 36, 368]}, {\"cell\": \"<i>NUP192, NUP188, <b>NUP42</b>, NUP133, NUP82, KAP104</i>\", \"bbox\": [66, 346, 200, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 351, 227, 362]}, {\"cell\": \"sulfur metabolism\", \"bbox\": [0, 368, 53, 379]}, {\"cell\": \"<i>HOM2, <b>MET4</b></i>\", \"bbox\": [66, 368, 108, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 368, 227, 379]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3793944_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}842{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>6-weeks postoperative</b></td><td colspan=\\\"2\\\"><b>4-months postoperative</b></td><td colspan=\\\"2\\\"><b>12-months postoperative</b></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\"><b>Pre-intervention</b></td><td colspan=\\\"2\\\"><b>Post-intervention</b></td><td colspan=\\\"2\\\"><b>Post-intervention</b></td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>Intervention</b></td><td><b>Control</b></td><td><b>Intervention</b></td><td><b>Control</b></td><td><b>Intervention</b></td><td><b>Control</b></td><td rowspan=\\\"2\\\"><b>P-value for group effect*</b></td></tr><tr><td><b>(n = 11)</b></td><td><b>(n = 10)</b></td><td><b>(n = 11)</b></td><td><b>(n = 10)</b></td><td><b>(n = 11)</b></td><td><b>(n = 10)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>331.0 (6.4)</td><td>287.1 (84.8)</td><td>450.6 (61.4)</td><td>435.8 (99.2)</td><td>500.6 (99.6)</td><td>495.6 (75.6)</td><td>0.92</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.55 (0.17)</td><td>0.46 (0.13)</td><td>0.72 (0.09)</td><td>0.77 (0.19)</td><td>0.75 (0.11)</td><td>0.84 (0.14)</td><td>0.96</td></tr><tr><td>[EMPTY_CELL]</td><td>0.73 (0.15)</td><td>0.70 (0.10)</td><td>0.86 (0.08)</td><td>0.93 (0.11)</td><td>0.88 (0.08)</td><td>0.93 (0.08)</td><td>0.91</td></tr><tr><td>[EMPTY_CELL]</td><td>0.74 (0.10)</td><td>0.64 (0.13)</td><td>0.83 (0.07)</td><td>0.83 (0.15)</td><td>0.85(0.08)</td><td>0.90 (0.11)</td><td>0.80</td></tr><tr><td>[EMPTY_CELL]</td><td>1.2 (0.63)</td><td>1.3 (0.29)</td><td>1.1 (0.44)</td><td>1.1 (0.45)</td><td>1.2 (0.38)</td><td>1.2 (0.22)</td><td>0.90</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>77.3 (17.8)</td><td>80.6 (15.7)</td><td>86.4 (14.2)</td><td>82.2 (10.0)</td><td>91.7 (13.2)</td><td>87.0 (18.9)</td><td>0.65</td></tr><tr><td>[EMPTY_CELL]</td><td>71.8 (12.8)</td><td>70.4 (17.6)</td><td>82.4 (13.5)</td><td>81.2 (1.7)</td><td>90.8 (12.7)</td><td>85.6 (15.6)</td><td>0.98</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>42.7 (19.8)</td><td>33.5 (18.7)</td><td>67.1 (17.1)</td><td>64.4 (18.6)</td><td>82.8 (10.3)</td><td>73.3 (19.6)</td><td>0.48</td></tr><tr><td>[EMPTY_CELL]</td><td>15.9 (35.8)</td><td>13.9 (33.3)</td><td>63.6 (45.2)</td><td>66.7 (50.0)</td><td>22.9 (25.3)</td><td>75.0 (40.8)</td><td>0.78</td></tr><tr><td>[EMPTY_CELL]</td><td>49.5 (9.5)</td><td>41.0 (27.0)</td><td>71.5 (24.3)</td><td>56.8 (25.1)</td><td>82.3 (21.4)</td><td>73.4 (27.7)</td><td>0.31</td></tr><tr><td>[EMPTY_CELL]</td><td>73.9 (21.7)</td><td>69.9 (23.1)</td><td>75.5 (5.9)</td><td>78.8 (17.2)</td><td>83.4 (12.1)</td><td>69.9 (16.7)</td><td>0.70</td></tr><tr><td>[EMPTY_CELL]</td><td>48.6 (15.2)</td><td>53.3 (18.9)</td><td>68.6 (19.5)</td><td>63.9 (19.3)</td><td>75.9 (15.5)</td><td>69.5 (24.3)</td><td>0.95</td></tr><tr><td>[EMPTY_CELL]</td><td>36.4 (45.8)</td><td>59.3 (49.4)</td><td>93.9 (20.1)</td><td>77.8 (37.3)</td><td>88.9 (33.3)</td><td>80.0 (35.8)</td><td>0.63</td></tr><tr><td>[EMPTY_CELL]</td><td>44.3 (25.2)</td><td>56.9 (36.5)</td><td>77.3 (23.6)</td><td>69.4 (27.3)</td><td>91.7 (16.5)</td><td>76.3 (24.6)</td><td>1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>70.5 (15.2)</td><td>80.4 (19.8)</td><td>86.5 (10.2)</td><td>84.9 (14.5)</td><td>84.0 (10.4)</td><td>80.7 (20.1)</td><td>0.38</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>6-weeks postoperative</b>\", \"bbox\": [180, 4, 261, 13]}, {\"cell\": \"<b>4-months postoperative</b>\", \"bbox\": [326, 4, 411, 13]}, {\"cell\": \"<b>12-months postoperative</b>\", \"bbox\": [473, 4, 563, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Pre-intervention</b>\", \"bbox\": [191, 17, 250, 27]}, {\"cell\": \"<b>Post-intervention</b>\", \"bbox\": [338, 17, 399, 27]}, {\"cell\": \"<b>Post-intervention</b>\", \"bbox\": [487, 17, 549, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Intervention</b>\", \"bbox\": [163, 30, 207, 40]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [245, 30, 273, 40]}, {\"cell\": \"<b>Intervention</b>\", \"bbox\": [311, 30, 355, 40]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [393, 30, 421, 40]}, {\"cell\": \"<b>Intervention</b>\", \"bbox\": [460, 30, 504, 40]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [544, 30, 571, 40]}, {\"cell\": \"<b>P-value for group effect*</b>\", \"bbox\": [610, 30, 645, 58]}, {\"cell\": \"<b>(n = 11)</b>\", \"bbox\": [171, 43, 199, 53]}, {\"cell\": \"<b>(n = 10)</b>\", \"bbox\": [245, 43, 273, 53]}, {\"cell\": \"<b>(n = 11)</b>\", \"bbox\": [319, 43, 347, 53]}, {\"cell\": \"<b>(n = 10)</b>\", \"bbox\": [393, 43, 421, 53]}, {\"cell\": \"<b>(n = 11)</b>\", \"bbox\": [468, 43, 496, 53]}, {\"cell\": \"<b>(n = 10)</b>\", \"bbox\": [544, 43, 571, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 61, 105, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 75, 130, 85]}, {\"cell\": \"331.0 (6.4)\", \"bbox\": [168, 75, 202, 85]}, {\"cell\": \"287.1 (84.8)\", \"bbox\": [240, 75, 278, 85]}, {\"cell\": \"450.6 (61.4)\", \"bbox\": [314, 75, 352, 85]}, {\"cell\": \"435.8 (99.2)\", \"bbox\": [388, 75, 426, 85]}, {\"cell\": \"500.6 (99.6)\", \"bbox\": [463, 75, 501, 85]}, {\"cell\": \"495.6 (75.6)\", \"bbox\": [538, 75, 576, 85]}, {\"cell\": \"0.92\", \"bbox\": [620, 75, 635, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 89, 54, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 103, 70, 113]}, {\"cell\": \"0.55 (0.17)\", \"bbox\": [168, 103, 202, 113]}, {\"cell\": \"0.46 (0.13)\", \"bbox\": [242, 103, 276, 113]}, {\"cell\": \"0.72 (0.09)\", \"bbox\": [316, 103, 350, 113]}, {\"cell\": \"0.77 (0.19)\", \"bbox\": [390, 103, 424, 113]}, {\"cell\": \"0.75 (0.11)\", \"bbox\": [465, 103, 499, 113]}, {\"cell\": \"0.84 (0.14)\", \"bbox\": [540, 103, 575, 113]}, {\"cell\": \"0.96\", \"bbox\": [620, 103, 635, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 117, 73, 127]}, {\"cell\": \"0.73 (0.15)\", \"bbox\": [168, 117, 202, 127]}, {\"cell\": \"0.70 (0.10)\", \"bbox\": [242, 117, 276, 127]}, {\"cell\": \"0.86 (0.08)\", \"bbox\": [316, 117, 350, 127]}, {\"cell\": \"0.93 (0.11)\", \"bbox\": [390, 117, 424, 127]}, {\"cell\": \"0.88 (0.08)\", \"bbox\": [465, 117, 499, 127]}, {\"cell\": \"0.93 (0.08)\", \"bbox\": [540, 117, 575, 127]}, {\"cell\": \"0.91\", \"bbox\": [620, 117, 635, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 131, 87, 141]}, {\"cell\": \"0.74 (0.10)\", \"bbox\": [168, 131, 202, 141]}, {\"cell\": \"0.64 (0.13)\", \"bbox\": [242, 131, 276, 141]}, {\"cell\": \"0.83 (0.07)\", \"bbox\": [316, 131, 350, 141]}, {\"cell\": \"0.83 (0.15)\", \"bbox\": [390, 131, 424, 141]}, {\"cell\": \"0.85(0.08)\", \"bbox\": [466, 131, 498, 141]}, {\"cell\": \"0.90 (0.11)\", \"bbox\": [540, 131, 575, 141]}, {\"cell\": \"0.80\", \"bbox\": [620, 131, 635, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 145, 84, 155]}, {\"cell\": \"1.2 (0.63)\", \"bbox\": [170, 145, 200, 155]}, {\"cell\": \"1.3 (0.29)\", \"bbox\": [244, 145, 274, 155]}, {\"cell\": \"1.1 (0.44)\", \"bbox\": [318, 145, 348, 155]}, {\"cell\": \"1.1 (0.45)\", \"bbox\": [392, 145, 422, 155]}, {\"cell\": \"1.2 (0.38)\", \"bbox\": [467, 145, 497, 155]}, {\"cell\": \"1.2 (0.22)\", \"bbox\": [542, 145, 573, 155]}, {\"cell\": \"0.90\", \"bbox\": [620, 145, 635, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 159, 74, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 173, 33, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 187, 79, 197]}, {\"cell\": \"77.3 (17.8)\", \"bbox\": [168, 187, 202, 197]}, {\"cell\": \"80.6 (15.7)\", \"bbox\": [242, 187, 276, 197]}, {\"cell\": \"86.4 (14.2)\", \"bbox\": [316, 187, 350, 197]}, {\"cell\": \"82.2 (10.0)\", \"bbox\": [390, 187, 424, 197]}, {\"cell\": \"91.7 (13.2)\", \"bbox\": [465, 187, 499, 197]}, {\"cell\": \"87.0 (18.9)\", \"bbox\": [540, 187, 575, 197]}, {\"cell\": \"0.65\", \"bbox\": [620, 187, 635, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 201, 92, 211]}, {\"cell\": \"71.8 (12.8)\", \"bbox\": [168, 201, 202, 211]}, {\"cell\": \"70.4 (17.6)\", \"bbox\": [242, 201, 276, 211]}, {\"cell\": \"82.4 (13.5)\", \"bbox\": [316, 201, 350, 211]}, {\"cell\": \"81.2 (1.7)\", \"bbox\": [392, 201, 422, 211]}, {\"cell\": \"90.8 (12.7)\", \"bbox\": [465, 201, 499, 211]}, {\"cell\": \"85.6 (15.6)\", \"bbox\": [540, 201, 575, 211]}, {\"cell\": \"0.98\", \"bbox\": [620, 201, 635, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 215, 35, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 229, 120, 239]}, {\"cell\": \"42.7 (19.8)\", \"bbox\": [168, 229, 202, 239]}, {\"cell\": \"33.5 (18.7)\", \"bbox\": [242, 229, 276, 239]}, {\"cell\": \"67.1 (17.1)\", \"bbox\": [316, 229, 350, 239]}, {\"cell\": \"64.4 (18.6)\", \"bbox\": [390, 229, 424, 239]}, {\"cell\": \"82.8 (10.3)\", \"bbox\": [465, 229, 499, 239]}, {\"cell\": \"73.3 (19.6)\", \"bbox\": [540, 229, 575, 239]}, {\"cell\": \"0.48\", \"bbox\": [620, 229, 635, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 243, 105, 253]}, {\"cell\": \"15.9 (35.8)\", \"bbox\": [168, 243, 202, 253]}, {\"cell\": \"13.9 (33.3)\", \"bbox\": [242, 243, 276, 253]}, {\"cell\": \"63.6 (45.2)\", \"bbox\": [316, 243, 350, 253]}, {\"cell\": \"66.7 (50.0)\", \"bbox\": [390, 243, 424, 253]}, {\"cell\": \"22.9 (25.3)\", \"bbox\": [465, 243, 499, 253]}, {\"cell\": \"75.0 (40.8)\", \"bbox\": [540, 243, 575, 253]}, {\"cell\": \"0.78\", \"bbox\": [620, 243, 635, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 257, 101, 267]}, {\"cell\": \"49.5 (9.5)\", \"bbox\": [170, 257, 200, 267]}, {\"cell\": \"41.0 (27.0)\", \"bbox\": [242, 257, 276, 267]}, {\"cell\": \"71.5 (24.3)\", \"bbox\": [316, 257, 350, 267]}, {\"cell\": \"56.8 (25.1)\", \"bbox\": [390, 257, 424, 267]}, {\"cell\": \"82.3 (21.4)\", \"bbox\": [465, 257, 499, 267]}, {\"cell\": \"73.4 (27.7)\", \"bbox\": [540, 257, 575, 267]}, {\"cell\": \"0.31\", \"bbox\": [620, 257, 635, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 271, 111, 281]}, {\"cell\": \"73.9 (21.7)\", \"bbox\": [168, 271, 202, 281]}, {\"cell\": \"69.9 (23.1)\", \"bbox\": [242, 271, 276, 281]}, {\"cell\": \"75.5 (5.9)\", \"bbox\": [318, 271, 348, 281]}, {\"cell\": \"78.8 (17.2)\", \"bbox\": [390, 271, 424, 281]}, {\"cell\": \"83.4 (12.1)\", \"bbox\": [465, 271, 499, 281]}, {\"cell\": \"69.9 (16.7)\", \"bbox\": [540, 271, 575, 281]}, {\"cell\": \"0.70\", \"bbox\": [620, 271, 635, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 285, 86, 295]}, {\"cell\": \"48.6 (15.2)\", \"bbox\": [168, 285, 202, 295]}, {\"cell\": \"53.3 (18.9)\", \"bbox\": [242, 285, 276, 295]}, {\"cell\": \"68.6 (19.5)\", \"bbox\": [316, 285, 350, 295]}, {\"cell\": \"63.9 (19.3)\", \"bbox\": [390, 285, 424, 295]}, {\"cell\": \"75.9 (15.5)\", \"bbox\": [465, 285, 499, 295]}, {\"cell\": \"69.5 (24.3)\", \"bbox\": [540, 285, 575, 295]}, {\"cell\": \"0.95\", \"bbox\": [620, 285, 635, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 299, 112, 309]}, {\"cell\": \"36.4 (45.8)\", \"bbox\": [168, 299, 202, 309]}, {\"cell\": \"59.3 (49.4)\", \"bbox\": [242, 299, 276, 309]}, {\"cell\": \"93.9 (20.1)\", \"bbox\": [316, 299, 350, 309]}, {\"cell\": \"77.8 (37.3)\", \"bbox\": [390, 299, 424, 309]}, {\"cell\": \"88.9 (33.3)\", \"bbox\": [465, 299, 499, 309]}, {\"cell\": \"80.0 (35.8)\", \"bbox\": [540, 299, 575, 309]}, {\"cell\": \"0.63\", \"bbox\": [620, 299, 635, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 313, 112, 323]}, {\"cell\": \"44.3 (25.2)\", \"bbox\": [168, 313, 202, 323]}, {\"cell\": \"56.9 (36.5)\", \"bbox\": [242, 313, 276, 323]}, {\"cell\": \"77.3 (23.6)\", \"bbox\": [316, 313, 350, 323]}, {\"cell\": \"69.4 (27.3)\", \"bbox\": [390, 313, 424, 323]}, {\"cell\": \"91.7 (16.5)\", \"bbox\": [465, 313, 499, 323]}, {\"cell\": \"76.3 (24.6)\", \"bbox\": [540, 313, 575, 323]}, {\"cell\": \"1.00\", \"bbox\": [620, 313, 635, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 327, 110, 337]}, {\"cell\": \"70.5 (15.2)\", \"bbox\": [168, 327, 202, 337]}, {\"cell\": \"80.4 (19.8)\", \"bbox\": [242, 327, 276, 337]}, {\"cell\": \"86.5 (10.2)\", \"bbox\": [316, 327, 350, 337]}, {\"cell\": \"84.9 (14.5)\", \"bbox\": [390, 327, 424, 337]}, {\"cell\": \"84.0 (10.4)\", \"bbox\": [465, 327, 499, 337]}, {\"cell\": \"80.7 (20.1)\", \"bbox\": [540, 327, 575, 337]}, {\"cell\": \"0.38\", \"bbox\": [620, 327, 635, 337]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4060584_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}843{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Systemic factors</b></td><td><b>Individual factors</b></td></tr></thead><tbody><tr><td rowspan=\\\"5\\\">[EMPTY_CELL]</td><td>Poor governance</td><td rowspan=\\\"5\\\">None</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"8\\\">[EMPTY_CELL]</td><td>Pharmaceutical market related factors</td><td>Pharmaceutical market related factors</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Survival in the market (Pressure to achieve sale targets, fear of being fired if targets are not achieved)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"7\\\">[EMPTY_CELL]</td><td>Normalization of corruption</td><td>Self-interest maximization</td></tr><tr><td>[EMPTY_CELL]</td><td> Professional ethics</td></tr><tr><td rowspan=\\\"5\\\">[EMPTY_CELL]</td><td> Personal values</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Systemic factors</b>\", \"bbox\": [102, 4, 156, 13]}, {\"cell\": \"<b>Individual factors</b>\", \"bbox\": [307, 4, 363, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 93, 27]}, {\"cell\": \"Poor governance\", \"bbox\": [102, 17, 159, 27]}, {\"cell\": \"None\", \"bbox\": [307, 17, 326, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 31, 144, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 45, 154, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 59, 158, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 73, 153, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 79, 97]}, {\"cell\": \"Pharmaceutical market related factors\", \"bbox\": [102, 87, 225, 97]}, {\"cell\": \"Pharmaceutical market related factors\", \"bbox\": [307, 87, 429, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 101, 185, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 115, 194, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 129, 300, 139]}, {\"cell\": \"Survival in the market (Pressure to achieve sale targets, fear of being fired if targets are not achieved)\", \"bbox\": [307, 129, 484, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 152, 222, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 166, 172, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 180, 257, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 194, 178, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 208, 96, 218]}, {\"cell\": \"Normalization of corruption\", \"bbox\": [102, 208, 193, 218]}, {\"cell\": \"Self-interest maximization\", \"bbox\": [307, 208, 391, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 222, 206, 232]}, {\"cell\": \" Professional ethics\", \"bbox\": [315, 222, 375, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [110, 236, 173, 246]}, {\"cell\": \" Personal values\", \"bbox\": [315, 236, 365, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 250, 384, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 264, 401, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 278, 351, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [315, 292, 357, 302]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6064099_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}844{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b><i>Schizophrenia cohort</i></b></td><td colspan=\\\"3\\\"><b><i>Affective disorder cohort</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>Scz (</i>n<i>=30)</i></b></td><td><b><i>Control (</i>n<i>=30)</i></b></td><td><b><i>MDD (</i>n<i>=10)</i></b></td><td><b><i>BP (</i>n<i>=10)</i></b></td><td><b><i>Control (</i>n<i>=9)</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>48.4±3.0</td><td>48.9±3.1</td><td>62.4±5.0</td><td>59.8±4.0</td><td>62.4±4.6</td></tr><tr><td>[EMPTY_CELL]</td><td>40.5±2.4</td><td>43.2±3.0</td><td>39.1±5.0</td><td>31.1±4.5</td><td>47.4±6.0</td></tr><tr><td>[EMPTY_CELL]</td><td>6.26±0.03</td><td>6.40±0.03</td><td>6.58±0.06</td><td>6.35±0.06</td><td>6.29±0.09</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8.81±0.09</td><td>8.93±0.16</td><td>6.77±0.27</td><td>5.71±0.53</td><td>6.17±0.51</td></tr><tr><td>[EMPTY_CELL]</td><td>6.04±0.29</td><td>6.00±23</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>7.87±0.16</td><td>7.78±0.26</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>30L</td><td>28L/2R</td><td>10L</td><td>10L</td><td>10L</td></tr><tr><td>[EMPTY_CELL]</td><td>24M/6F</td><td>24M/6F</td><td>6M/4F</td><td>6M/4F</td><td>6M/3F</td></tr><tr><td>[EMPTY_CELL]</td><td>8/30</td><td>0/30</td><td>8/10</td><td>3/10</td><td>0/9</td></tr><tr><td>[EMPTY_CELL]</td><td>21.8±2.8</td><td>NA</td><td>17.6±3.4</td><td>20.3±4.1</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>560±96</td><td>NA</td><td>NA</td><td>213±146</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>13.3±3.2</td><td>NA</td><td>NA</td><td>0.44±0.35</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>13/30</td><td>NA</td><td>0/10</td><td>2/10</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>12/30</td><td>NA</td><td>1/10</td><td>5/10</td><td>NA</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>Schizophrenia cohort</i></b>\", \"bbox\": [158, 7, 228, 16]}, {\"cell\": \"<b><i>Affective disorder cohort</i></b>\", \"bbox\": [362, 7, 442, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>Scz (</i>n<i>=30)</i></b>\", \"bbox\": [128, 29, 167, 39]}, {\"cell\": \"<b><i>Control (</i>n<i>=30)</i></b>\", \"bbox\": [206, 29, 258, 39]}, {\"cell\": \"<b><i>MDD (</i>n<i>=10)</i></b>\", \"bbox\": [297, 29, 342, 39]}, {\"cell\": \"<b><i>BP (</i>n<i>=10)</i></b>\", \"bbox\": [382, 29, 419, 39]}, {\"cell\": \"<b><i>Control (</i>n<i>=9)</i></b>\", \"bbox\": [458, 29, 507, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 46, 45, 56]}, {\"cell\": \"48.4±3.0\", \"bbox\": [131, 46, 165, 56]}, {\"cell\": \"48.9±3.1\", \"bbox\": [215, 46, 249, 56]}, {\"cell\": \"62.4±5.0\", \"bbox\": [303, 46, 337, 56]}, {\"cell\": \"59.8±4.0\", \"bbox\": [383, 46, 417, 56]}, {\"cell\": \"62.4±4.6\", \"bbox\": [465, 46, 499, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 55, 31, 65]}, {\"cell\": \"40.5±2.4\", \"bbox\": [131, 55, 165, 65]}, {\"cell\": \"43.2±3.0\", \"bbox\": [215, 55, 249, 65]}, {\"cell\": \"39.1±5.0\", \"bbox\": [303, 55, 337, 65]}, {\"cell\": \"31.1±4.5\", \"bbox\": [383, 55, 417, 65]}, {\"cell\": \"47.4±6.0\", \"bbox\": [465, 55, 499, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 64, 36, 74]}, {\"cell\": \"6.26±0.03\", \"bbox\": [129, 64, 167, 74]}, {\"cell\": \"6.40±0.03\", \"bbox\": [213, 64, 251, 74]}, {\"cell\": \"6.58±0.06\", \"bbox\": [301, 64, 339, 74]}, {\"cell\": \"6.35±0.06\", \"bbox\": [381, 64, 419, 74]}, {\"cell\": \"6.29±0.09\", \"bbox\": [463, 64, 501, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 82, 34, 92]}, {\"cell\": \"8.81±0.09\", \"bbox\": [129, 82, 167, 92]}, {\"cell\": \"8.93±0.16\", \"bbox\": [213, 82, 251, 92]}, {\"cell\": \"6.77±0.27\", \"bbox\": [301, 82, 339, 92]}, {\"cell\": \"5.71±0.53\", \"bbox\": [381, 82, 419, 92]}, {\"cell\": \"6.17±0.51\", \"bbox\": [463, 82, 501, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 91, 32, 101]}, {\"cell\": \"6.04±0.29\", \"bbox\": [129, 91, 167, 101]}, {\"cell\": \"6.00±23\", \"bbox\": [216, 91, 248, 101]}, {\"cell\": \"NA\", \"bbox\": [314, 91, 326, 101]}, {\"cell\": \"NA\", \"bbox\": [394, 91, 407, 101]}, {\"cell\": \"NA\", \"bbox\": [476, 91, 489, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 100, 28, 110]}, {\"cell\": \"7.87±0.16\", \"bbox\": [129, 100, 167, 110]}, {\"cell\": \"7.78±0.26\", \"bbox\": [213, 100, 251, 110]}, {\"cell\": \"NA\", \"bbox\": [314, 100, 326, 110]}, {\"cell\": \"NA\", \"bbox\": [394, 100, 407, 110]}, {\"cell\": \"NA\", \"bbox\": [476, 100, 489, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 118, 67, 128]}, {\"cell\": \"30L\", \"bbox\": [141, 118, 155, 128]}, {\"cell\": \"28L/2R\", \"bbox\": [220, 118, 245, 128]}, {\"cell\": \"10L\", \"bbox\": [313, 118, 327, 128]}, {\"cell\": \"10L\", \"bbox\": [393, 118, 407, 128]}, {\"cell\": \"10L\", \"bbox\": [475, 118, 489, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 127, 18, 137]}, {\"cell\": \"24M/6F\", \"bbox\": [134, 127, 162, 137]}, {\"cell\": \"24M/6F\", \"bbox\": [218, 127, 246, 137]}, {\"cell\": \"6M/4F\", \"bbox\": [308, 127, 332, 137]}, {\"cell\": \"6M/4F\", \"bbox\": [389, 127, 412, 137]}, {\"cell\": \"6M/3F\", \"bbox\": [471, 127, 494, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 136, 31, 146]}, {\"cell\": \"8/30\", \"bbox\": [139, 136, 156, 146]}, {\"cell\": \"0/30\", \"bbox\": [224, 136, 241, 146]}, {\"cell\": \"8/10\", \"bbox\": [311, 136, 328, 146]}, {\"cell\": \"3/10\", \"bbox\": [392, 136, 409, 146]}, {\"cell\": \"0/9\", \"bbox\": [476, 136, 489, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 145, 44, 155]}, {\"cell\": \"21.8±2.8\", \"bbox\": [131, 145, 165, 155]}, {\"cell\": \"NA\", \"bbox\": [226, 145, 238, 155]}, {\"cell\": \"17.6±3.4\", \"bbox\": [303, 145, 337, 155]}, {\"cell\": \"20.3±4.1\", \"bbox\": [383, 145, 417, 155]}, {\"cell\": \"NA\", \"bbox\": [476, 145, 489, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 153, 64, 164]}, {\"cell\": \"560±96\", \"bbox\": [132, 154, 163, 164]}, {\"cell\": \"NA\", \"bbox\": [226, 154, 238, 164]}, {\"cell\": \"NA\", \"bbox\": [314, 154, 326, 164]}, {\"cell\": \"213±146\", \"bbox\": [383, 154, 418, 164]}, {\"cell\": \"NA\", \"bbox\": [476, 154, 489, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 161, 89, 173]}, {\"cell\": \"13.3±3.2\", \"bbox\": [131, 163, 165, 173]}, {\"cell\": \"NA\", \"bbox\": [226, 163, 238, 173]}, {\"cell\": \"NA\", \"bbox\": [314, 163, 326, 173]}, {\"cell\": \"0.44±0.35\", \"bbox\": [381, 163, 419, 173]}, {\"cell\": \"NA\", \"bbox\": [476, 163, 489, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 172, 73, 182]}, {\"cell\": \"13/30\", \"bbox\": [137, 172, 158, 182]}, {\"cell\": \"NA\", \"bbox\": [226, 172, 238, 182]}, {\"cell\": \"0/10\", \"bbox\": [311, 172, 328, 182]}, {\"cell\": \"2/10\", \"bbox\": [392, 172, 409, 182]}, {\"cell\": \"NA\", \"bbox\": [476, 172, 489, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 181, 75, 191]}, {\"cell\": \"12/30\", \"bbox\": [137, 181, 158, 191]}, {\"cell\": \"NA\", \"bbox\": [226, 181, 238, 191]}, {\"cell\": \"1/10\", \"bbox\": [311, 181, 328, 191]}, {\"cell\": \"5/10\", \"bbox\": [392, 181, 409, 191]}, {\"cell\": \"NA\", \"bbox\": [476, 181, 489, 191]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4564563_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}845{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Peptide</b></td><td><b>Peptide Ranker Score</b></td><td><b>BIOPEP ID</b></td><td><b>Activity Description</b></td><td><b>IC<sub>50</sub></b></td><td><b>Mass (Da)</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td><b>FG</b></td><td>0.99</td><td>7605</td><td>ACE-I inhibitor</td><td>3700.0 μM</td><td>222.229</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PF</b></td><td>0.99</td><td>8854</td><td>DPP-IV inhibitor</td><td>N/A</td><td>262.294</td><td>[EMPTY_CELL]</td></tr><tr><td><b>FL</b></td><td>0.99</td><td>8555</td><td>DPP-IV inhibitor</td><td>399.58 μM</td><td>278.337</td><td>[EMPTY_CELL]</td></tr><tr><td><b>FY</b></td><td>0.98</td><td>3556</td><td>ACE-I inhibitor</td><td>25 μM</td><td>328.347</td><td>[EMPTY_CELL]</td></tr><tr><td><b>FA</b></td><td>0.96</td><td>3176</td><td>DPP-IV inhibitor</td><td>N/A</td><td>236.256</td><td>[EMPTY_CELL]</td></tr><tr><td><b>FN</b></td><td>0.95</td><td>8778</td><td>DPP-IV inhibitor</td><td>N/A</td><td>279.281</td><td>[EMPTY_CELL]</td></tr><tr><td><b>MG</b></td><td>0.94</td><td>7609</td><td>ACE-I inhibitor</td><td>4800 μM</td><td>206.25</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PG</b></td><td>0.88</td><td>7625</td><td>ACE-I inhibitor</td><td>17,000 μM</td><td>172.169</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PG</b></td><td>0.88</td><td>8855</td><td>DPP-IV inhibitor</td><td>N/A</td><td>172.169</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PG</b></td><td>0.88</td><td>3285</td><td>N/A</td><td>N/A</td><td>172.169</td><td>[EMPTY_CELL]</td></tr><tr><td><b>MR</b></td><td>0.85</td><td>8836</td><td>DPP-IV inhibitor</td><td>N/A</td><td>305.386</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PL</b></td><td>0.81</td><td>7513</td><td>ACE-I inhibitor</td><td>337.32 μM</td><td>228.277</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PL</b></td><td>0.81</td><td>8638</td><td>DPP-IV inhibitor</td><td>N/A</td><td>228.277</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PLG</b></td><td>0.8</td><td>7510</td><td>ACE-I inhibitor</td><td>4.74 μM</td><td>285.329</td><td>[EMPTY_CELL]</td></tr><tr><td><b>PR</b></td><td>0.79</td><td>3537</td><td>ACE-I inhibitor</td><td>4.10 μM</td><td>271.305</td><td>[EMPTY_CELL]</td></tr><tr><td><b>RG</b></td><td>0.74</td><td>8882</td><td>DPP-IV inhibitor</td><td>N/A</td><td>231.24</td><td>[EMPTY_CELL]</td></tr><tr><td><b>LG</b></td><td>0.72</td><td>7619</td><td>ACE-I inhibitor</td><td>8800 μM</td><td>188.212</td><td>[EMPTY_CELL]</td></tr><tr><td><b>MA</b></td><td>0.69</td><td>3173</td><td>DPP-IV inhibitor</td><td>N/A</td><td>220.277</td><td>[EMPTY_CELL]</td></tr><tr><td><b>RL</b></td><td>0.63</td><td>8886</td><td>DPP-IV inhibitor</td><td>N/A</td><td>287.348</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Peptide</b>\", \"bbox\": [6, 4, 33, 13]}, {\"cell\": \"<b>Peptide Ranker Score</b>\", \"bbox\": [43, 4, 114, 13]}, {\"cell\": \"<b>BIOPEP ID</b>\", \"bbox\": [126, 4, 164, 13]}, {\"cell\": \"<b>Activity Description</b>\", \"bbox\": [178, 4, 245, 13]}, {\"cell\": \"<b>IC<sub>50</sub></b>\", \"bbox\": [271, 4, 286, 14]}, {\"cell\": \"<b>Mass (Da)</b>\", \"bbox\": [310, 4, 345, 13]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [357, 4, 390, 13]}, {\"cell\": \"<b>FG</b>\", \"bbox\": [13, 17, 25, 26]}, {\"cell\": \"0.99\", \"bbox\": [71, 17, 85, 25]}, {\"cell\": \"7605\", \"bbox\": [137, 17, 153, 25]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 17, 237, 25]}, {\"cell\": \"3700.0 μM\", \"bbox\": [261, 17, 296, 26]}, {\"cell\": \"222.229\", \"bbox\": [315, 17, 340, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [360, 17, 385, 25]}, {\"cell\": \"<b>PF</b>\", \"bbox\": [14, 25, 24, 34]}, {\"cell\": \"0.99\", \"bbox\": [71, 25, 85, 34]}, {\"cell\": \"8854\", \"bbox\": [137, 25, 153, 34]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 25, 239, 34]}, {\"cell\": \"N/A\", \"bbox\": [270, 25, 287, 34]}, {\"cell\": \"262.294\", \"bbox\": [315, 25, 340, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 25, 379, 34]}, {\"cell\": \"<b>FL</b>\", \"bbox\": [14, 33, 24, 42]}, {\"cell\": \"0.99\", \"bbox\": [71, 33, 85, 42]}, {\"cell\": \"8555\", \"bbox\": [137, 33, 153, 42]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 33, 239, 42]}, {\"cell\": \"399.58 μM\", \"bbox\": [261, 33, 296, 42]}, {\"cell\": \"278.337\", \"bbox\": [315, 33, 340, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 33, 379, 42]}, {\"cell\": \"<b>FY</b>\", \"bbox\": [13, 42, 24, 50]}, {\"cell\": \"0.98\", \"bbox\": [71, 41, 85, 50]}, {\"cell\": \"3556\", \"bbox\": [137, 41, 153, 50]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 41, 237, 50]}, {\"cell\": \"25 μM\", \"bbox\": [267, 41, 290, 50]}, {\"cell\": \"328.347\", \"bbox\": [315, 41, 340, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 41, 379, 50]}, {\"cell\": \"<b>FA</b>\", \"bbox\": [13, 50, 24, 59]}, {\"cell\": \"0.96\", \"bbox\": [71, 50, 85, 58]}, {\"cell\": \"3176\", \"bbox\": [137, 50, 153, 58]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 50, 239, 58]}, {\"cell\": \"N/A\", \"bbox\": [270, 50, 287, 58]}, {\"cell\": \"236.256\", \"bbox\": [315, 50, 340, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 50, 379, 58]}, {\"cell\": \"<b>FN</b>\", \"bbox\": [13, 58, 25, 67]}, {\"cell\": \"0.95\", \"bbox\": [71, 58, 85, 66]}, {\"cell\": \"8778\", \"bbox\": [137, 58, 153, 66]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 58, 239, 66]}, {\"cell\": \"N/A\", \"bbox\": [270, 58, 287, 66]}, {\"cell\": \"279.281\", \"bbox\": [315, 58, 340, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 58, 379, 66]}, {\"cell\": \"<b>MG</b>\", \"bbox\": [11, 66, 26, 75]}, {\"cell\": \"0.94\", \"bbox\": [71, 66, 85, 74]}, {\"cell\": \"7609\", \"bbox\": [137, 66, 153, 74]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 66, 237, 74]}, {\"cell\": \"4800 μM\", \"bbox\": [264, 66, 293, 74]}, {\"cell\": \"206.25\", \"bbox\": [317, 66, 338, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 66, 379, 74]}, {\"cell\": \"<b>PG</b>\", \"bbox\": [13, 74, 25, 83]}, {\"cell\": \"0.88\", \"bbox\": [71, 74, 85, 82]}, {\"cell\": \"7625\", \"bbox\": [137, 74, 153, 82]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 74, 237, 82]}, {\"cell\": \"17,000 μM\", \"bbox\": [261, 74, 296, 82]}, {\"cell\": \"172.169\", \"bbox\": [315, 74, 340, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 74, 379, 82]}, {\"cell\": \"<b>PG</b>\", \"bbox\": [13, 82, 25, 91]}, {\"cell\": \"0.88\", \"bbox\": [71, 82, 85, 90]}, {\"cell\": \"8855\", \"bbox\": [137, 82, 153, 90]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 82, 239, 90]}, {\"cell\": \"N/A\", \"bbox\": [270, 82, 287, 90]}, {\"cell\": \"172.169\", \"bbox\": [315, 82, 340, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 82, 379, 90]}, {\"cell\": \"<b>PG</b>\", \"bbox\": [13, 90, 25, 99]}, {\"cell\": \"0.88\", \"bbox\": [71, 90, 85, 99]}, {\"cell\": \"3285\", \"bbox\": [137, 90, 153, 99]}, {\"cell\": \"N/A\", \"bbox\": [203, 90, 221, 99]}, {\"cell\": \"N/A\", \"bbox\": [270, 90, 287, 99]}, {\"cell\": \"172.169\", \"bbox\": [315, 90, 340, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 90, 379, 99]}, {\"cell\": \"<b>MR</b>\", \"bbox\": [12, 98, 26, 107]}, {\"cell\": \"0.85\", \"bbox\": [71, 98, 85, 107]}, {\"cell\": \"8836\", \"bbox\": [137, 98, 153, 107]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 98, 239, 107]}, {\"cell\": \"N/A\", \"bbox\": [270, 98, 287, 107]}, {\"cell\": \"305.386\", \"bbox\": [315, 98, 340, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 98, 379, 107]}, {\"cell\": \"<b>PL</b>\", \"bbox\": [13, 106, 24, 115]}, {\"cell\": \"0.81\", \"bbox\": [71, 106, 85, 115]}, {\"cell\": \"7513\", \"bbox\": [137, 106, 153, 115]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 106, 237, 115]}, {\"cell\": \"337.32 μM\", \"bbox\": [261, 106, 296, 115]}, {\"cell\": \"228.277\", \"bbox\": [315, 106, 340, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 106, 379, 115]}, {\"cell\": \"<b>PL</b>\", \"bbox\": [13, 115, 24, 123]}, {\"cell\": \"0.81\", \"bbox\": [71, 115, 85, 123]}, {\"cell\": \"8638\", \"bbox\": [137, 115, 153, 123]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 115, 239, 123]}, {\"cell\": \"N/A\", \"bbox\": [270, 115, 287, 123]}, {\"cell\": \"228.277\", \"bbox\": [315, 115, 340, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 115, 379, 123]}, {\"cell\": \"<b>PLG</b>\", \"bbox\": [11, 123, 27, 132]}, {\"cell\": \"0.8\", \"bbox\": [73, 123, 84, 131]}, {\"cell\": \"7510\", \"bbox\": [137, 123, 153, 131]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 123, 237, 131]}, {\"cell\": \"4.74 μM\", \"bbox\": [265, 123, 292, 131]}, {\"cell\": \"285.329\", \"bbox\": [315, 123, 340, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 123, 379, 131]}, {\"cell\": \"<b>PR</b>\", \"bbox\": [13, 131, 24, 140]}, {\"cell\": \"0.79\", \"bbox\": [71, 131, 85, 139]}, {\"cell\": \"3537\", \"bbox\": [137, 131, 153, 139]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 131, 237, 139]}, {\"cell\": \"4.10 μM\", \"bbox\": [265, 131, 292, 139]}, {\"cell\": \"271.305\", \"bbox\": [315, 131, 340, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 131, 379, 139]}, {\"cell\": \"<b>RG</b>\", \"bbox\": [12, 139, 25, 148]}, {\"cell\": \"0.74\", \"bbox\": [71, 139, 85, 147]}, {\"cell\": \"8882\", \"bbox\": [137, 139, 153, 147]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 139, 239, 147]}, {\"cell\": \"N/A\", \"bbox\": [270, 139, 287, 147]}, {\"cell\": \"231.24\", \"bbox\": [317, 139, 338, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 139, 379, 147]}, {\"cell\": \"<b>LG</b>\", \"bbox\": [13, 147, 25, 156]}, {\"cell\": \"0.72\", \"bbox\": [71, 147, 85, 155]}, {\"cell\": \"7619\", \"bbox\": [137, 147, 153, 155]}, {\"cell\": \"ACE-I inhibitor\", \"bbox\": [187, 147, 237, 155]}, {\"cell\": \"8800 μM\", \"bbox\": [264, 147, 293, 155]}, {\"cell\": \"188.212\", \"bbox\": [315, 147, 340, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 147, 379, 155]}, {\"cell\": \"<b>MA</b>\", \"bbox\": [11, 155, 26, 164]}, {\"cell\": \"0.69\", \"bbox\": [71, 155, 85, 164]}, {\"cell\": \"3173\", \"bbox\": [137, 155, 153, 164]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 155, 239, 164]}, {\"cell\": \"N/A\", \"bbox\": [270, 155, 287, 164]}, {\"cell\": \"220.277\", \"bbox\": [315, 155, 340, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 155, 379, 164]}, {\"cell\": \"<b>RL</b>\", \"bbox\": [13, 163, 24, 172]}, {\"cell\": \"0.63\", \"bbox\": [71, 163, 85, 172]}, {\"cell\": \"8886\", \"bbox\": [137, 163, 153, 172]}, {\"cell\": \"DPP-IV inhibitor\", \"bbox\": [185, 163, 239, 172]}, {\"cell\": \"N/A\", \"bbox\": [270, 163, 287, 172]}, {\"cell\": \"287.348\", \"bbox\": [315, 163, 340, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [366, 163, 379, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5742776_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}846{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>MDKT</b></td><td>[EMPTY_CELL]</td><td><b>General diabetes subscale (items 1–14)</b></td><td><b>Insulin-use subscale (items 15–23)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b><i>n</i></b></td><td><b>Mean % correct answers (SD)</b></td><td><b>Mean % correct answers (SD)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>127</td><td>69.4 (15.1)</td><td>73.4 (17.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>36</td><td>76.4 (14.7)<sup>d</sup></td><td>79.0 (14.7)</td></tr><tr><td>[EMPTY_CELL]</td><td>67</td><td>66.9 (14.2)</td><td>73.3 (16.5)</td></tr><tr><td>[EMPTY_CELL]</td><td>21</td><td>65.3 (15.2)</td><td>64.0 (21.6)<sup>d</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.01<sup>d</sup></td><td><0.01<sup>d</sup></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>72</td><td>72.5 (13.3)</td><td>74.8 (18.6)</td></tr><tr><td>[EMPTY_CELL]</td><td>50</td><td>65.1 (16.1)</td><td>71.1 (16.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.01<sup>d</sup></td><td>0.25</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>82</td><td>73.6 (14.4)</td><td>74.9 (17.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>40</td><td>60.0 (12.4)</td><td>70.6 (18.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.01</td><td>0.22</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>MDKT</b>\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>General diabetes subscale (items 1–14)</b>\", \"bbox\": [262, 4, 347, 22]}, {\"cell\": \"<b>Insulin-use subscale (items 15–23)</b>\", \"bbox\": [389, 4, 454, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [218, 26, 224, 34]}, {\"cell\": \"<b>Mean % correct answers (SD)</b>\", \"bbox\": [262, 26, 358, 35]}, {\"cell\": \"<b>Mean % correct answers (SD)</b>\", \"bbox\": [389, 26, 484, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 18, 49]}, {\"cell\": \"127\", \"bbox\": [218, 39, 232, 49]}, {\"cell\": \"69.4 (15.1)\", \"bbox\": [262, 39, 296, 49]}, {\"cell\": \"73.4 (17.6)\", \"bbox\": [389, 39, 423, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 53, 35, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 67, 67, 77]}, {\"cell\": \"36\", \"bbox\": [218, 67, 228, 77]}, {\"cell\": \"76.4 (14.7)<sup>d</sup>\", \"bbox\": [262, 66, 300, 77]}, {\"cell\": \"79.0 (14.7)\", \"bbox\": [389, 67, 423, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 81, 54, 91]}, {\"cell\": \"67\", \"bbox\": [218, 81, 228, 91]}, {\"cell\": \"66.9 (14.2)\", \"bbox\": [262, 81, 296, 91]}, {\"cell\": \"73.3 (16.5)\", \"bbox\": [389, 81, 423, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 95, 67, 105]}, {\"cell\": \"21\", \"bbox\": [218, 95, 228, 105]}, {\"cell\": \"65.3 (15.2)\", \"bbox\": [262, 95, 296, 105]}, {\"cell\": \"64.0 (21.6)<sup>d</sup>\", \"bbox\": [389, 94, 426, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 108, 153, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.01<sup>d</sup>\", \"bbox\": [262, 108, 285, 119]}, {\"cell\": \"<0.01<sup>d</sup>\", \"bbox\": [389, 108, 411, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 169, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 137, 21, 147]}, {\"cell\": \"72\", \"bbox\": [218, 137, 228, 147]}, {\"cell\": \"72.5 (13.3)\", \"bbox\": [262, 137, 296, 147]}, {\"cell\": \"74.8 (18.6)\", \"bbox\": [389, 137, 423, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 151, 20, 161]}, {\"cell\": \"50\", \"bbox\": [218, 151, 228, 161]}, {\"cell\": \"65.1 (16.1)\", \"bbox\": [262, 151, 296, 161]}, {\"cell\": \"71.1 (16.0)\", \"bbox\": [389, 151, 423, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 164, 187, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.01<sup>d</sup>\", \"bbox\": [262, 164, 285, 175]}, {\"cell\": \"0.25\", \"bbox\": [389, 165, 403, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 179, 105, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 193, 21, 203]}, {\"cell\": \"82\", \"bbox\": [218, 193, 228, 203]}, {\"cell\": \"73.6 (14.4)\", \"bbox\": [262, 193, 296, 203]}, {\"cell\": \"74.9 (17.4)\", \"bbox\": [389, 193, 423, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 207, 20, 217]}, {\"cell\": \"40\", \"bbox\": [218, 207, 228, 217]}, {\"cell\": \"60.0 (12.4)\", \"bbox\": [262, 207, 296, 217]}, {\"cell\": \"70.6 (18.3)\", \"bbox\": [389, 207, 423, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 220, 187, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.01\", \"bbox\": [262, 221, 282, 231]}, {\"cell\": \"0.22\", \"bbox\": [389, 221, 403, 231]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4928289_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}847{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Moderate</b></td><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Vigorous</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Model 1</b></td><td><b>Model 2</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Model 1</b></td><td><b>Model 2</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Correlate</b></td><td><b>β (SE)</b></td><td><b>β (SE)</b></td><td><b>95% CI</b></td><td><b><i>p </i>value</b></td><td><b>Correlate</b></td><td><b>β (SE)</b></td><td><b>β (SE)</b></td><td><b>95% CI</b></td><td><b><i>p </i>value</b></td></tr></thead><tbody><tr><td>Constant</td><td>39.27 (1.41)</td><td>33.67 (3.29)</td><td>27.22 to 40.12</td><td>[EMPTY_CELL]</td><td>Constant</td><td>18.38 (2.49)</td><td>22.79 (6.81)</td><td>9.44 to 36.14</td><td>< 0.001</td></tr><tr><td>Equipment<sup>2</sup></td><td>NE</td><td>6.91 (3.42)</td><td>0.21 to 13.61</td><td>[EMPTY_CELL]</td><td>Sex<sup>1</sup></td><td>NE</td><td>-8.22 (2.18)</td><td>-12.49 to -3.95</td><td>< 0.001</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Temperature</td><td>NE</td><td>-0.65 (0.28)</td><td>-1.20 to -0.10</td><td>0.02</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Play space</td><td>NE</td><td>2.02 (0.42)</td><td>1.20 to 2.84</td><td>< 0.001</td></tr><tr><td>% Total variance explained</td><td>N/A</td><td>7.7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>% Total variance explained</td><td>N/A</td><td>24.2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Random</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>Random</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>School Level</td><td>24.38 (15.13)</td><td>20.29 (14.33)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>School Level</td><td>39.51 (24.86)</td><td>14.39 (11.26)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Child Level</td><td>245.52 (31.81)</td><td>228.78 (30.33)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Child Level</td><td>151.29 (19.86)</td><td>130.26 (16.54)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Total variance</td><td>269.9</td><td>249.07</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Total variance</td><td>190.8</td><td>144.65</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Deviance</td><td>1034.32</td><td>1028.86</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Deviance</td><td>987.09</td><td>955.72</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>ICC</td><td>0.090</td><td>0.081</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>ICC</td><td>0.207</td><td>0.099</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Moderate</b>\", \"bbox\": [116, 4, 152, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Vigorous</b>\", \"bbox\": [382, 4, 415, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Model 1</b>\", \"bbox\": [55, 17, 86, 27]}, {\"cell\": \"<b>Model 2</b>\", \"bbox\": [103, 17, 133, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Model 1</b>\", \"bbox\": [319, 17, 349, 27]}, {\"cell\": \"<b>Model 2</b>\", \"bbox\": [367, 17, 397, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Correlate</b>\", \"bbox\": [6, 30, 39, 40]}, {\"cell\": \"<b>β (SE)</b>\", \"bbox\": [59, 30, 81, 40]}, {\"cell\": \"<b>β (SE)</b>\", \"bbox\": [107, 30, 129, 40]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [154, 30, 180, 40]}, {\"cell\": \"<b><i>p </i>value</b>\", \"bbox\": [196, 32, 217, 49]}, {\"cell\": \"<b>Correlate</b>\", \"bbox\": [249, 30, 283, 40]}, {\"cell\": \"<b>β (SE)</b>\", \"bbox\": [323, 30, 345, 40]}, {\"cell\": \"<b>β (SE)</b>\", \"bbox\": [371, 30, 393, 40]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [418, 30, 444, 40]}, {\"cell\": \"<b><i>p </i>value</b>\", \"bbox\": [461, 32, 481, 49]}, {\"cell\": \"Constant\", \"bbox\": [7, 53, 38, 62]}, {\"cell\": \"39.27 (1.41)\", \"bbox\": [51, 53, 89, 62]}, {\"cell\": \"33.67 (3.29)\", \"bbox\": [99, 53, 137, 62]}, {\"cell\": \"27.22 to 40.12\", \"bbox\": [153, 53, 181, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 53, 220, 62]}, {\"cell\": \"Constant\", \"bbox\": [251, 53, 281, 62]}, {\"cell\": \"18.38 (2.49)\", \"bbox\": [315, 53, 353, 62]}, {\"cell\": \"22.79 (6.81)\", \"bbox\": [363, 53, 401, 62]}, {\"cell\": \"9.44 to 36.14\", \"bbox\": [409, 53, 453, 62]}, {\"cell\": \"< 0.001\", \"bbox\": [458, 53, 484, 62]}, {\"cell\": \"Equipment<sup>2</sup>\", \"bbox\": [3, 72, 42, 83]}, {\"cell\": \"NE\", \"bbox\": [65, 74, 76, 83]}, {\"cell\": \"6.91 (3.42)\", \"bbox\": [101, 74, 135, 83]}, {\"cell\": \"0.21 to 13.61\", \"bbox\": [145, 74, 188, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 74, 218, 83]}, {\"cell\": \"Sex<sup>1</sup>\", \"bbox\": [258, 72, 274, 83]}, {\"cell\": \"NE\", \"bbox\": [329, 74, 340, 83]}, {\"cell\": \"-8.22 (2.18)\", \"bbox\": [364, 74, 400, 83]}, {\"cell\": \"-12.49 to -3.95\", \"bbox\": [416, 74, 446, 92]}, {\"cell\": \"< 0.001\", \"bbox\": [458, 74, 484, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Temperature\", \"bbox\": [245, 94, 287, 104]}, {\"cell\": \"NE\", \"bbox\": [329, 94, 340, 104]}, {\"cell\": \"-0.65 (0.28)\", \"bbox\": [364, 94, 400, 104]}, {\"cell\": \"-1.20 to -0.10\", \"bbox\": [409, 94, 453, 104]}, {\"cell\": \"0.02\", \"bbox\": [464, 94, 479, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Play space\", \"bbox\": [248, 106, 284, 116]}, {\"cell\": \"NE\", \"bbox\": [329, 106, 340, 116]}, {\"cell\": \"2.02 (0.42)\", \"bbox\": [365, 106, 399, 116]}, {\"cell\": \"1.20 to 2.84\", \"bbox\": [411, 106, 451, 116]}, {\"cell\": \"< 0.001\", \"bbox\": [458, 106, 484, 116]}, {\"cell\": \"% Total variance explained\", \"bbox\": [6, 130, 39, 158]}, {\"cell\": \"N/A\", \"bbox\": [63, 130, 78, 140]}, {\"cell\": \"7.7\", \"bbox\": [113, 130, 124, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"% Total variance explained\", \"bbox\": [239, 130, 293, 149]}, {\"cell\": \"N/A\", \"bbox\": [327, 130, 341, 140]}, {\"cell\": \"24.2\", \"bbox\": [375, 130, 390, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Random</b>\", \"bbox\": [7, 172, 38, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Random</b>\", \"bbox\": [251, 172, 281, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"School Level\", \"bbox\": [1, 184, 44, 194]}, {\"cell\": \"24.38 (15.13)\", \"bbox\": [49, 184, 91, 194]}, {\"cell\": \"20.29 (14.33)\", \"bbox\": [97, 184, 139, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"School Level\", \"bbox\": [245, 184, 287, 194]}, {\"cell\": \"39.51 (24.86)\", \"bbox\": [313, 184, 355, 194]}, {\"cell\": \"14.39 (11.26)\", \"bbox\": [361, 184, 403, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Child Level\", \"bbox\": [4, 196, 41, 206]}, {\"cell\": \"245.52 (31.81)\", \"bbox\": [59, 196, 82, 214]}, {\"cell\": \"228.78 (30.33)\", \"bbox\": [107, 196, 130, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Child Level\", \"bbox\": [247, 196, 285, 206]}, {\"cell\": \"151.29 (19.86)\", \"bbox\": [323, 196, 346, 214]}, {\"cell\": \"130.26 (16.54)\", \"bbox\": [371, 196, 393, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total variance\", \"bbox\": [8, 217, 37, 235]}, {\"cell\": \"269.9\", \"bbox\": [61, 217, 80, 226]}, {\"cell\": \"249.07\", \"bbox\": [107, 217, 129, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total variance\", \"bbox\": [243, 217, 289, 226]}, {\"cell\": \"190.8\", \"bbox\": [325, 217, 343, 226]}, {\"cell\": \"144.65\", \"bbox\": [371, 217, 393, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deviance\", \"bbox\": [7, 238, 38, 247]}, {\"cell\": \"1034.32\", \"bbox\": [57, 238, 83, 247]}, {\"cell\": \"1028.86\", \"bbox\": [105, 238, 131, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deviance\", \"bbox\": [250, 238, 282, 247]}, {\"cell\": \"987.09\", \"bbox\": [323, 238, 345, 247]}, {\"cell\": \"955.72\", \"bbox\": [371, 238, 393, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ICC\", \"bbox\": [16, 250, 29, 259]}, {\"cell\": \"0.090\", \"bbox\": [61, 250, 80, 259]}, {\"cell\": \"0.081\", \"bbox\": [109, 250, 127, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ICC\", \"bbox\": [260, 250, 272, 259]}, {\"cell\": \"0.207\", \"bbox\": [325, 250, 343, 259]}, {\"cell\": \"0.099\", \"bbox\": [373, 250, 391, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2959085_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}848{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>Sequence</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>5′-GTCCTTCTGCAGATTGACAATGA-3′ (forward)5′-TTCACCAAGACAGAGGAGCTGAA-3′ (reverse)</td></tr><tr><td>[EMPTY_CELL]</td><td>5′-GAAGATTGCACCGGTCGACAAA-3′ (forward)5′-CCACCAAAGTCACGCTGAATAC-3′ (reverse)</td></tr><tr><td>[EMPTY_CELL]</td><td>5′-CAGACTCAATTTAGTGAG-3′ (forward)5′-AGCTCATGGTTGGGGCAC-3′ (reverse)</td></tr><tr><td>[EMPTY_CELL]</td><td>5′-GGAGCAGCTTTTGCCATGCCT-3′ (forward)5′-GTGGCCTTATGCTCTGGTAC-3′ (reverse)</td></tr><tr><td>[EMPTY_CELL]</td><td>5′-GAGTCAACGGATTTGGTCGT-3′ (forward)5′-GACAAGCTTCCCGTTCTCAG-3′ (reverse)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [20, 5, 46, 17]}, {\"cell\": \"<b>Sequence</b>\", \"bbox\": [213, 5, 259, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 21, 65, 33]}, {\"cell\": \"5′-GTCCTTCTGCAGATTGACAATGA-3′ (forward)5′-TTCACCAAGACAGAGGAGCTGAA-3′ (reverse)\", \"bbox\": [115, 21, 357, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 51, 59, 63]}, {\"cell\": \"5′-GAAGATTGCACCGGTCGACAAA-3′ (forward)5′-CCACCAAAGTCACGCTGAATAC-3′ (reverse)\", \"bbox\": [117, 51, 354, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [17, 78, 49, 95]}, {\"cell\": \"5′-CAGACTCAATTTAGTGAG-3′ (forward)5′-AGCTCATGGTTGGGGCAC-3′ (reverse)\", \"bbox\": [134, 82, 338, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 112, 60, 124]}, {\"cell\": \"5′-GGAGCAGCTTTTGCCATGCCT-3′ (forward)5′-GTGGCCTTATGCTCTGGTAC-3′ (reverse)\", \"bbox\": [123, 112, 348, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 143, 53, 155]}, {\"cell\": \"5′-GAGTCAACGGATTTGGTCGT-3′ (forward)5′-GACAAGCTTCCCGTTCTCAG-3′ (reverse)\", \"bbox\": [126, 143, 345, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3709725_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}849{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Diagnosis</b></td></tr><tr><td><b>Colorectal liver metastases</b></td><td><b>Non-colorectal liver metastases</b></td><td><b>Hepatocellular carcinoma</b></td><td><b>Cholangiocarcinoma</b></td><td><b>Gallbladder carcinoma</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td>Major hepatectomy</td><td>[EMPTY_CELL]</td><td>3</td><td>22</td><td>25</td><td>5</td><td>199</td></tr><tr><td>Right hepatectomy (with or without combined wedge resection)</td><td>[EMPTY_CELL]</td><td>1</td><td>10</td><td>4</td><td>0</td><td>107</td></tr><tr><td>Left hepatectomy (with or without combined wedge resection)</td><td>[EMPTY_CELL]</td><td>2</td><td>10</td><td>3</td><td>0</td><td>51</td></tr><tr><td>Extended left hepatectomy</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>7</td><td>0</td><td>11</td></tr><tr><td>Extended right hepatectomy</td><td>[EMPTY_CELL]</td><td>0</td><td>2</td><td>11</td><td>5</td><td>30</td></tr><tr><td>Minor hepatectomy</td><td>[EMPTY_CELL]</td><td>9</td><td>2</td><td>0</td><td>0</td><td>114</td></tr><tr><td colspan=\\\"7\\\">Anatomical hepatectomy</td></tr><tr><td>Right posterior hepatectomy</td><td>[EMPTY_CELL]</td><td>1</td><td>0</td><td>0</td><td>0</td><td>10</td></tr><tr><td>Left lateral hepatectomy</td><td>[EMPTY_CELL]</td><td>4</td><td>0</td><td>0</td><td>0</td><td>31</td></tr><tr><td>Bisegmentectomy</td><td>[EMPTY_CELL]</td><td>0</td><td>0</td><td>0</td><td>0</td><td>14</td></tr><tr><td>Segmentectomy</td><td>[EMPTY_CELL]</td><td>0</td><td>2</td><td>0</td><td>0</td><td>20</td></tr><tr><td colspan=\\\"7\\\">Non-anatomical hepatectomy</td></tr><tr><td>Wedge resections (one or multiple)</td><td>[EMPTY_CELL]</td><td>4</td><td>0</td><td>0</td><td>0</td><td>39</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Diagnosis</b>\", \"bbox\": [290, 4, 326, 13]}, {\"cell\": \"<b>Colorectal liver metastases</b>\", \"bbox\": [132, 17, 186, 35]}, {\"cell\": \"<b>Non-colorectal liver metastases</b>\", \"bbox\": [197, 17, 254, 35]}, {\"cell\": \"<b>Hepatocellular carcinoma</b>\", \"bbox\": [265, 17, 318, 35]}, {\"cell\": \"<b>Cholangiocarcinoma</b>\", \"bbox\": [328, 17, 401, 27]}, {\"cell\": \"<b>Gallbladder carcinoma</b>\", \"bbox\": [412, 17, 454, 35]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [465, 17, 484, 27]}, {\"cell\": \"Major hepatectomy\", \"bbox\": [1, 39, 65, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 39, 145, 49]}, {\"cell\": \"3\", \"bbox\": [197, 39, 203, 49]}, {\"cell\": \"22\", \"bbox\": [265, 39, 275, 49]}, {\"cell\": \"25\", \"bbox\": [328, 39, 338, 49]}, {\"cell\": \"5\", \"bbox\": [412, 39, 418, 49]}, {\"cell\": \"199\", \"bbox\": [465, 39, 479, 49]}, {\"cell\": \"Right hepatectomy (with or without combined wedge resection)\", \"bbox\": [1, 53, 121, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 53, 142, 63]}, {\"cell\": \"1\", \"bbox\": [197, 53, 203, 63]}, {\"cell\": \"10\", \"bbox\": [265, 53, 275, 63]}, {\"cell\": \"4\", \"bbox\": [328, 53, 334, 63]}, {\"cell\": \"0\", \"bbox\": [412, 53, 418, 63]}, {\"cell\": \"107\", \"bbox\": [465, 53, 479, 63]}, {\"cell\": \"Left hepatectomy (with or without combined wedge resection)\", \"bbox\": [1, 76, 116, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 76, 142, 86]}, {\"cell\": \"2\", \"bbox\": [197, 76, 203, 86]}, {\"cell\": \"10\", \"bbox\": [265, 76, 275, 86]}, {\"cell\": \"3\", \"bbox\": [328, 76, 334, 86]}, {\"cell\": \"0\", \"bbox\": [412, 76, 418, 86]}, {\"cell\": \"51\", \"bbox\": [465, 76, 475, 86]}, {\"cell\": \"Extended left hepatectomy\", \"bbox\": [1, 99, 90, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 99, 138, 109]}, {\"cell\": \"0\", \"bbox\": [197, 99, 203, 109]}, {\"cell\": \"0\", \"bbox\": [265, 99, 271, 109]}, {\"cell\": \"7\", \"bbox\": [328, 99, 334, 109]}, {\"cell\": \"0\", \"bbox\": [412, 99, 418, 109]}, {\"cell\": \"11\", \"bbox\": [465, 99, 475, 109]}, {\"cell\": \"Extended right hepatectomy\", \"bbox\": [1, 113, 95, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 113, 142, 123]}, {\"cell\": \"0\", \"bbox\": [197, 113, 203, 123]}, {\"cell\": \"2\", \"bbox\": [265, 113, 271, 123]}, {\"cell\": \"11\", \"bbox\": [328, 113, 338, 123]}, {\"cell\": \"5\", \"bbox\": [412, 113, 418, 123]}, {\"cell\": \"30\", \"bbox\": [465, 113, 475, 123]}, {\"cell\": \"Minor hepatectomy\", \"bbox\": [1, 127, 66, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 127, 145, 137]}, {\"cell\": \"9\", \"bbox\": [197, 127, 203, 137]}, {\"cell\": \"2\", \"bbox\": [265, 127, 271, 137]}, {\"cell\": \"0\", \"bbox\": [328, 127, 334, 137]}, {\"cell\": \"0\", \"bbox\": [412, 127, 418, 137]}, {\"cell\": \"114\", \"bbox\": [465, 127, 479, 137]}, {\"cell\": \"Anatomical hepatectomy\", \"bbox\": [1, 141, 83, 151]}, {\"cell\": \"Right posterior hepatectomy\", \"bbox\": [1, 155, 94, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 155, 138, 165]}, {\"cell\": \"1\", \"bbox\": [197, 155, 203, 165]}, {\"cell\": \"0\", \"bbox\": [265, 155, 271, 165]}, {\"cell\": \"0\", \"bbox\": [328, 155, 334, 165]}, {\"cell\": \"0\", \"bbox\": [412, 155, 418, 165]}, {\"cell\": \"10\", \"bbox\": [465, 155, 475, 165]}, {\"cell\": \"Left lateral hepatectomy\", \"bbox\": [1, 169, 80, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 169, 142, 179]}, {\"cell\": \"4\", \"bbox\": [197, 169, 203, 179]}, {\"cell\": \"0\", \"bbox\": [265, 169, 271, 179]}, {\"cell\": \"0\", \"bbox\": [328, 169, 334, 179]}, {\"cell\": \"0\", \"bbox\": [412, 169, 418, 179]}, {\"cell\": \"31\", \"bbox\": [465, 169, 475, 179]}, {\"cell\": \"Bisegmentectomy\", \"bbox\": [1, 183, 60, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 183, 142, 193]}, {\"cell\": \"0\", \"bbox\": [197, 183, 203, 193]}, {\"cell\": \"0\", \"bbox\": [265, 183, 271, 193]}, {\"cell\": \"0\", \"bbox\": [328, 183, 334, 193]}, {\"cell\": \"0\", \"bbox\": [412, 183, 418, 193]}, {\"cell\": \"14\", \"bbox\": [465, 183, 475, 193]}, {\"cell\": \"Segmentectomy\", \"bbox\": [1, 197, 55, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 197, 142, 207]}, {\"cell\": \"0\", \"bbox\": [197, 197, 203, 207]}, {\"cell\": \"2\", \"bbox\": [265, 197, 271, 207]}, {\"cell\": \"0\", \"bbox\": [328, 197, 334, 207]}, {\"cell\": \"0\", \"bbox\": [412, 197, 418, 207]}, {\"cell\": \"20\", \"bbox\": [465, 197, 475, 207]}, {\"cell\": \"Non-anatomical hepatectomy\", \"bbox\": [1, 211, 98, 221]}, {\"cell\": \"Wedge resections (one or multiple)\", \"bbox\": [1, 225, 116, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 225, 142, 235]}, {\"cell\": \"4\", \"bbox\": [197, 225, 203, 235]}, {\"cell\": \"0\", \"bbox\": [265, 225, 271, 235]}, {\"cell\": \"0\", \"bbox\": [328, 225, 334, 235]}, {\"cell\": \"0\", \"bbox\": [412, 225, 418, 235]}, {\"cell\": \"39\", \"bbox\": [465, 225, 475, 235]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4256890_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}850{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>RAI-MDS 2.0(Resident Assessment Instrument – Minimum Dataset 2.0)</b></td><td><b>RAI-HC(Resident Assessment Instrument – Home Care)</b></td><td><b>interRAI HC(interRAI Home Care)</b></td><td><b>interRAI CHA(interRAI Community Health Assessment)</b></td></tr></thead><tbody><tr><td>Purpose</td><td colspan=\\\"4\\\">To assess the needs, strengths, and preferences of vulnerable populations</td></tr><tr><td>Applications</td><td colspan=\\\"4\\\">Care planning, resource allocation, outcomes measures, and quality indicators</td></tr><tr><td>Setting</td><td>Long-term care (LTC), Complex continuing care (CCC)</td><td>Home care (HC)</td><td>Home care (HC)</td><td>[EMPTY_CELL]</td></tr><tr><td>Jurisdiction in Canada</td><td>Mandated in 9 provinces and territories</td><td>Mandated in 8 provinces and territories</td><td>Not yet implemented in Canada</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">Data Repository</td></tr><tr><td> Provincial</td><td>None</td><td>Ontario Association of Home and Community Care (OACCAC)</td><td>n/a</td><td>[EMPTY_CELL]</td></tr><tr><td> National</td><td>Continuing Care Reporting System (CCRS)<sup>a</sup></td><td>Home Care Reporting System (HCRS)<sup>a</sup></td><td>n/a</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>RAI-MDS 2.0(Resident Assessment Instrument – Minimum Dataset 2.0)</b>\", \"bbox\": [51, 4, 158, 31]}, {\"cell\": \"<b>RAI-HC(Resident Assessment Instrument – Home Care)</b>\", \"bbox\": [168, 4, 251, 31]}, {\"cell\": \"<b>interRAI HC(interRAI Home Care)</b>\", \"bbox\": [293, 4, 362, 22]}, {\"cell\": \"<b>interRAI CHA(interRAI Community Health Assessment)</b>\", \"bbox\": [376, 4, 468, 31]}, {\"cell\": \"Purpose\", \"bbox\": [1, 35, 28, 45]}, {\"cell\": \"To assess the needs, strengths, and preferences of vulnerable populations\", \"bbox\": [148, 35, 387, 45]}, {\"cell\": \"Applications\", \"bbox\": [1, 49, 42, 59]}, {\"cell\": \"Care planning, resource allocation, outcomes measures, and quality indicators\", \"bbox\": [142, 49, 393, 59]}, {\"cell\": \"Setting\", \"bbox\": [1, 63, 25, 73]}, {\"cell\": \"Long-term care (LTC), Complex continuing care (CCC)\", \"bbox\": [51, 63, 152, 82]}, {\"cell\": \"Home care (HC)\", \"bbox\": [168, 63, 221, 73]}, {\"cell\": \"Home care (HC)\", \"bbox\": [293, 63, 346, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 63, 482, 73]}, {\"cell\": \"Jurisdiction in Canada\", \"bbox\": [1, 86, 47, 105]}, {\"cell\": \"Mandated in 9 provinces and territories\", \"bbox\": [51, 86, 147, 105]}, {\"cell\": \"Mandated in 8 provinces and territories\", \"bbox\": [168, 86, 264, 105]}, {\"cell\": \"Not yet implemented in Canada\", \"bbox\": [293, 86, 372, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 86, 484, 105]}, {\"cell\": \"Data Repository\", \"bbox\": [1, 109, 53, 119]}, {\"cell\": \" Provincial\", \"bbox\": [8, 123, 41, 133]}, {\"cell\": \"None\", \"bbox\": [51, 123, 70, 133]}, {\"cell\": \"Ontario Association of Home and Community Care (OACCAC)\", \"bbox\": [168, 123, 277, 142]}, {\"cell\": \"n/a\", \"bbox\": [293, 123, 305, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 123, 475, 133]}, {\"cell\": \" National\", \"bbox\": [8, 146, 37, 156]}, {\"cell\": \"Continuing Care Reporting System (CCRS)<sup>a</sup>\", \"bbox\": [51, 146, 164, 165]}, {\"cell\": \"Home Care Reporting System (HCRS)<sup>a</sup>\", \"bbox\": [168, 146, 265, 165]}, {\"cell\": \"n/a\", \"bbox\": [293, 146, 305, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [376, 146, 395, 156]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5663080_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}851{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>All Subjects</b></td><td colspan=\\\"2\\\"><b>p14</b></td><td colspan=\\\"2\\\"><b>BRCA1</b></td><td colspan=\\\"2\\\"><b>PTEN</b></td><td colspan=\\\"2\\\"><b>p16</b></td><td colspan=\\\"2\\\"><b>Any loci</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>+</b></td><td><b>-</b></td><td><b>+</b></td><td><b>-</b></td><td><b>+</b></td><td><b>-</b></td><td><b>+</b></td><td><b>-</b></td><td><b>+</b></td><td><b>-</b></td></tr></thead><tbody><tr><td>Cases</td><td>49</td><td>12</td><td>37</td><td>8</td><td>[EMPTY_CELL]</td><td>4</td><td>45</td><td>9</td><td>40</td><td>25</td><td>24</td></tr><tr><td>Mean age (yrs)</td><td>48.8</td><td>47.6</td><td>49.2</td><td>44.0</td><td>[EMPTY_CELL]</td><td>65.1</td><td>47.4</td><td>52.6</td><td>48.0</td><td>47.8</td><td>49.9</td></tr><tr><td>P value (T-test)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.006</td><td>[EMPTY_CELL]</td><td>0.321</td><td>[EMPTY_CELL]</td><td>0.559</td></tr><tr><td>Stage</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> I-II</td><td>24</td><td>9</td><td>15</td><td>2</td><td>[EMPTY_CELL]</td><td>2</td><td>22</td><td>4</td><td>20</td><td>12</td><td>12</td></tr><tr><td> III-IV</td><td>25</td><td>3</td><td>22</td><td>6</td><td>[EMPTY_CELL]</td><td>2</td><td>23</td><td>5</td><td>20</td><td>13</td><td>12</td></tr><tr><td>P value (χ<sup>2 </sup>test)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.038</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.966</td><td>[EMPTY_CELL]</td><td>0.763</td><td>[EMPTY_CELL]</td><td>0.889</td></tr><tr><td>Grade<sup>a</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> G1–2</td><td>22</td><td>9</td><td>13</td><td>1</td><td>[EMPTY_CELL]</td><td>4</td><td>18</td><td>6</td><td>16</td><td>13</td><td>9</td></tr><tr><td> G3</td><td>25</td><td>3</td><td>22</td><td>7</td><td>[EMPTY_CELL]</td><td>0</td><td>25</td><td>3</td><td>22</td><td>12</td><td>13</td></tr><tr><td> P value (χ<sup>2 </sup>test)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.023</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.026</td><td>[EMPTY_CELL]</td><td>0.184</td><td>[EMPTY_CELL]</td><td>0.447</td></tr><tr><td>Histological type</td><td>49</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Serous</td><td>17</td><td>2</td><td>15</td><td>6</td><td>[EMPTY_CELL]</td><td>1</td><td>16</td><td>3</td><td>14</td><td>11</td><td>6</td></tr><tr><td> Mucinous</td><td>10</td><td>3</td><td>7</td><td>1</td><td>[EMPTY_CELL]</td><td>3</td><td>7</td><td>6</td><td>4</td><td>7</td><td>3</td></tr><tr><td> Endometrioid</td><td>10</td><td>3</td><td>7</td><td>1</td><td>[EMPTY_CELL]</td><td>0</td><td>10</td><td>0</td><td>10</td><td>3</td><td>7</td></tr><tr><td> Clear-cell</td><td>6</td><td>3</td><td>3</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>6</td><td>0</td><td>6</td><td>3</td><td>3</td></tr><tr><td> Others</td><td>6</td><td>1</td><td>5</td><td>0</td><td>[EMPTY_CELL]</td><td>0</td><td>6</td><td>0</td><td>6</td><td>1</td><td>5</td></tr><tr><td>P value (χ<sup>2 </sup>test]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.08<sup>b</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.023<sup>d</sup></td><td>[EMPTY_CELL]</td><td><0.001<sup>e</sup></td><td>[EMPTY_CELL]</td><td>0.015<sup>e</sup></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All Subjects</b>\", \"bbox\": [114, 5, 154, 14]}, {\"cell\": \"<b>p14</b>\", \"bbox\": [189, 5, 203, 14]}, {\"cell\": \"<b>BRCA1</b>\", \"bbox\": [247, 5, 274, 14]}, {\"cell\": \"<b>PTEN</b>\", \"bbox\": [316, 5, 338, 14]}, {\"cell\": \"<b>p16</b>\", \"bbox\": [390, 5, 404, 14]}, {\"cell\": \"<b>Any loci</b>\", \"bbox\": [452, 5, 481, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>+</b>\", \"bbox\": [175, 27, 182, 36]}, {\"cell\": \"<b>-</b>\", \"bbox\": [208, 27, 213, 36]}, {\"cell\": \"<b>+</b>\", \"bbox\": [239, 27, 245, 36]}, {\"cell\": \"<b>-</b>\", \"bbox\": [273, 27, 277, 36]}, {\"cell\": \"<b>+</b>\", \"bbox\": [305, 27, 311, 36]}, {\"cell\": \"<b>-</b>\", \"bbox\": [339, 27, 344, 36]}, {\"cell\": \"<b>+</b>\", \"bbox\": [372, 27, 379, 36]}, {\"cell\": \"<b>-</b>\", \"bbox\": [409, 27, 414, 36]}, {\"cell\": \"<b>+</b>\", \"bbox\": [444, 27, 451, 36]}, {\"cell\": \"<b>-</b>\", \"bbox\": [479, 27, 484, 36]}, {\"cell\": \"Cases\", \"bbox\": [4, 49, 26, 59]}, {\"cell\": \"49\", \"bbox\": [151, 49, 161, 59]}, {\"cell\": \"12\", \"bbox\": [180, 49, 190, 59]}, {\"cell\": \"37\", \"bbox\": [214, 49, 224, 59]}, {\"cell\": \"8\", \"bbox\": [248, 49, 254, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 49, 290, 59]}, {\"cell\": \"4\", \"bbox\": [314, 49, 320, 59]}, {\"cell\": \"45\", \"bbox\": [348, 49, 358, 59]}, {\"cell\": \"9\", \"bbox\": [381, 49, 387, 59]}, {\"cell\": \"40\", \"bbox\": [420, 49, 430, 59]}, {\"cell\": \"25\", \"bbox\": [449, 49, 459, 59]}, {\"cell\": \"24\", \"bbox\": [487, 49, 497, 59]}, {\"cell\": \"Mean age (yrs)\", \"bbox\": [4, 59, 55, 69]}, {\"cell\": \"48.8\", \"bbox\": [145, 59, 161, 69]}, {\"cell\": \"47.6\", \"bbox\": [174, 59, 190, 69]}, {\"cell\": \"49.2\", \"bbox\": [208, 59, 224, 69]}, {\"cell\": \"44.0\", \"bbox\": [238, 59, 254, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [274, 59, 290, 69]}, {\"cell\": \"65.1\", \"bbox\": [304, 59, 320, 69]}, {\"cell\": \"47.4\", \"bbox\": [342, 59, 358, 69]}, {\"cell\": \"52.6\", \"bbox\": [371, 59, 387, 69]}, {\"cell\": \"48.0\", \"bbox\": [414, 59, 430, 69]}, {\"cell\": \"47.8\", \"bbox\": [443, 59, 459, 69]}, {\"cell\": \"49.9\", \"bbox\": [481, 59, 497, 69]}, {\"cell\": \"P value (T-test)\", \"bbox\": [25, 69, 78, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.7\", \"bbox\": [212, 69, 225, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [270, 69, 291, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.006\", \"bbox\": [338, 69, 358, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.321\", \"bbox\": [410, 69, 430, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.559\", \"bbox\": [477, 69, 497, 79]}, {\"cell\": \"Stage\", \"bbox\": [4, 80, 24, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" I-II\", \"bbox\": [14, 90, 25, 100]}, {\"cell\": \"24\", \"bbox\": [151, 90, 161, 100]}, {\"cell\": \"9\", \"bbox\": [184, 90, 190, 100]}, {\"cell\": \"15\", \"bbox\": [214, 90, 224, 100]}, {\"cell\": \"2\", \"bbox\": [248, 90, 254, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 90, 290, 100]}, {\"cell\": \"2\", \"bbox\": [314, 90, 320, 100]}, {\"cell\": \"22\", \"bbox\": [348, 90, 358, 100]}, {\"cell\": \"4\", \"bbox\": [381, 90, 387, 100]}, {\"cell\": \"20\", \"bbox\": [420, 90, 430, 100]}, {\"cell\": \"12\", \"bbox\": [449, 90, 459, 100]}, {\"cell\": \"12\", \"bbox\": [487, 90, 497, 100]}, {\"cell\": \" III-IV\", \"bbox\": [14, 100, 32, 110]}, {\"cell\": \"25\", \"bbox\": [151, 100, 161, 110]}, {\"cell\": \"3\", \"bbox\": [184, 100, 190, 110]}, {\"cell\": \"22\", \"bbox\": [214, 100, 224, 110]}, {\"cell\": \"6\", \"bbox\": [248, 100, 254, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 100, 290, 110]}, {\"cell\": \"2\", \"bbox\": [314, 100, 320, 110]}, {\"cell\": \"23\", \"bbox\": [348, 100, 358, 110]}, {\"cell\": \"5\", \"bbox\": [381, 100, 387, 110]}, {\"cell\": \"20\", \"bbox\": [420, 100, 430, 110]}, {\"cell\": \"13\", \"bbox\": [449, 100, 459, 110]}, {\"cell\": \"12\", \"bbox\": [487, 100, 497, 110]}, {\"cell\": \"P value (χ<sup>2 </sup>test)\", \"bbox\": [25, 110, 79, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.038\", \"bbox\": [204, 111, 224, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [270, 111, 291, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.966\", \"bbox\": [337, 111, 358, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.763\", \"bbox\": [410, 111, 430, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.889\", \"bbox\": [477, 111, 497, 120]}, {\"cell\": \"Grade<sup>a</sup>\", \"bbox\": [4, 120, 30, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G1–2\", \"bbox\": [14, 131, 35, 141]}, {\"cell\": \"22\", \"bbox\": [151, 131, 161, 141]}, {\"cell\": \"9\", \"bbox\": [184, 131, 190, 141]}, {\"cell\": \"13\", \"bbox\": [214, 131, 224, 141]}, {\"cell\": \"1\", \"bbox\": [248, 131, 254, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 131, 290, 141]}, {\"cell\": \"4\", \"bbox\": [314, 131, 320, 141]}, {\"cell\": \"18\", \"bbox\": [348, 131, 358, 141]}, {\"cell\": \"6\", \"bbox\": [381, 131, 387, 141]}, {\"cell\": \"16\", \"bbox\": [420, 131, 430, 141]}, {\"cell\": \"13\", \"bbox\": [449, 131, 459, 141]}, {\"cell\": \"9\", \"bbox\": [491, 131, 497, 141]}, {\"cell\": \" G3\", \"bbox\": [14, 141, 27, 151]}, {\"cell\": \"25\", \"bbox\": [151, 141, 161, 151]}, {\"cell\": \"3\", \"bbox\": [184, 141, 190, 151]}, {\"cell\": \"22\", \"bbox\": [214, 141, 224, 151]}, {\"cell\": \"7\", \"bbox\": [248, 141, 254, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 141, 290, 151]}, {\"cell\": \"0\", \"bbox\": [314, 141, 320, 151]}, {\"cell\": \"25\", \"bbox\": [348, 141, 358, 151]}, {\"cell\": \"3\", \"bbox\": [381, 141, 387, 151]}, {\"cell\": \"22\", \"bbox\": [420, 141, 430, 151]}, {\"cell\": \"12\", \"bbox\": [449, 141, 459, 151]}, {\"cell\": \"13\", \"bbox\": [487, 141, 497, 151]}, {\"cell\": \" P value (χ<sup>2 </sup>test)\", \"bbox\": [14, 151, 69, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.023\", \"bbox\": [204, 152, 224, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [270, 152, 291, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.026\", \"bbox\": [337, 152, 358, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.184\", \"bbox\": [410, 152, 430, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.447\", \"bbox\": [477, 152, 497, 161]}, {\"cell\": \"Histological type\", \"bbox\": [4, 162, 62, 171]}, {\"cell\": \"49\", \"bbox\": [151, 162, 161, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Serous\", \"bbox\": [14, 172, 39, 182]}, {\"cell\": \"17\", \"bbox\": [151, 172, 161, 182]}, {\"cell\": \"2\", \"bbox\": [184, 172, 190, 182]}, {\"cell\": \"15\", \"bbox\": [214, 172, 224, 182]}, {\"cell\": \"6\", \"bbox\": [248, 172, 254, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 172, 290, 182]}, {\"cell\": \"1\", \"bbox\": [314, 172, 320, 182]}, {\"cell\": \"16\", \"bbox\": [348, 172, 358, 182]}, {\"cell\": \"3\", \"bbox\": [381, 172, 387, 182]}, {\"cell\": \"14\", \"bbox\": [420, 172, 430, 182]}, {\"cell\": \"11\", \"bbox\": [449, 172, 459, 182]}, {\"cell\": \"6\", \"bbox\": [491, 172, 497, 182]}, {\"cell\": \" Mucinous\", \"bbox\": [14, 182, 48, 192]}, {\"cell\": \"10\", \"bbox\": [151, 182, 161, 192]}, {\"cell\": \"3\", \"bbox\": [184, 182, 190, 192]}, {\"cell\": \"7\", \"bbox\": [218, 182, 224, 192]}, {\"cell\": \"1\", \"bbox\": [248, 182, 254, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 182, 290, 192]}, {\"cell\": \"3\", \"bbox\": [314, 182, 320, 192]}, {\"cell\": \"7\", \"bbox\": [352, 182, 358, 192]}, {\"cell\": \"6\", \"bbox\": [381, 182, 387, 192]}, {\"cell\": \"4\", \"bbox\": [424, 182, 430, 192]}, {\"cell\": \"7\", \"bbox\": [453, 182, 459, 192]}, {\"cell\": \"3\", \"bbox\": [491, 182, 497, 192]}, {\"cell\": \" Endometrioid\", \"bbox\": [14, 192, 62, 202]}, {\"cell\": \"10\", \"bbox\": [151, 192, 161, 202]}, {\"cell\": \"3\", \"bbox\": [184, 192, 190, 202]}, {\"cell\": \"7\", \"bbox\": [218, 192, 224, 202]}, {\"cell\": \"1\", \"bbox\": [248, 192, 254, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 192, 290, 202]}, {\"cell\": \"0\", \"bbox\": [314, 192, 320, 202]}, {\"cell\": \"10\", \"bbox\": [348, 192, 358, 202]}, {\"cell\": \"0\", \"bbox\": [381, 192, 387, 202]}, {\"cell\": \"10\", \"bbox\": [420, 192, 430, 202]}, {\"cell\": \"3\", \"bbox\": [453, 192, 459, 202]}, {\"cell\": \"7\", \"bbox\": [491, 192, 497, 202]}, {\"cell\": \" Clear-cell\", \"bbox\": [14, 203, 49, 212]}, {\"cell\": \"6\", \"bbox\": [155, 203, 161, 212]}, {\"cell\": \"3\", \"bbox\": [184, 203, 190, 212]}, {\"cell\": \"3\", \"bbox\": [218, 203, 224, 212]}, {\"cell\": \"0\", \"bbox\": [248, 203, 254, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 203, 290, 212]}, {\"cell\": \"0\", \"bbox\": [314, 203, 320, 212]}, {\"cell\": \"6\", \"bbox\": [352, 203, 358, 212]}, {\"cell\": \"0\", \"bbox\": [381, 203, 387, 212]}, {\"cell\": \"6\", \"bbox\": [424, 203, 430, 212]}, {\"cell\": \"3\", \"bbox\": [453, 203, 459, 212]}, {\"cell\": \"3\", \"bbox\": [491, 203, 497, 212]}, {\"cell\": \" Others\", \"bbox\": [14, 213, 40, 223]}, {\"cell\": \"6\", \"bbox\": [155, 213, 161, 223]}, {\"cell\": \"1\", \"bbox\": [184, 213, 190, 223]}, {\"cell\": \"5\", \"bbox\": [218, 213, 224, 223]}, {\"cell\": \"0\", \"bbox\": [248, 213, 254, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 213, 290, 223]}, {\"cell\": \"0\", \"bbox\": [314, 213, 320, 223]}, {\"cell\": \"6\", \"bbox\": [352, 213, 358, 223]}, {\"cell\": \"0\", \"bbox\": [381, 213, 387, 223]}, {\"cell\": \"6\", \"bbox\": [424, 213, 430, 223]}, {\"cell\": \"1\", \"bbox\": [453, 213, 459, 223]}, {\"cell\": \"5\", \"bbox\": [491, 213, 497, 223]}, {\"cell\": \"P value (χ<sup>2 </sup>test]\", \"bbox\": [25, 223, 79, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.08<sup>b</sup>\", \"bbox\": [205, 223, 224, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 223, 290, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.023<sup>d</sup>\", \"bbox\": [335, 223, 358, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001<sup>e</sup>\", \"bbox\": [402, 223, 430, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.015<sup>e</sup>\", \"bbox\": [474, 223, 497, 233]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1560388_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}852{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Categories</b></td><td><b>Frequency</b></td><td><b>Percentage</b></td><td><b>OR</b></td><td><b>95% CI</b></td><td><b>p</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Predominant land use around school*</td><td>Residential</td><td>[EMPTY_CELL]</td><td>89.6</td><td>0.64</td><td>0.14-2.95</td><td>.643</td></tr><tr><td>Others</td><td>59</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">Place where parents can stop and drop children off*</td><td>No</td><td>[EMPTY_CELL]</td><td>1.4</td><td>7.69</td><td>0.72-81.90</td><td>.091</td></tr><tr><td>Yes</td><td>559</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">Place where parents can park their cars*</td><td>No</td><td>[EMPTY_CELL]</td><td>15.5</td><td>2.32</td><td>0.44-12.16</td><td>.319</td></tr><tr><td>Yes</td><td>479</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">Bus stop</td><td>No</td><td>[EMPTY_CELL]</td><td>15.0</td><td>2.00</td><td>0.57-7.02</td><td>.276</td></tr><tr><td>Yes</td><td>482</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">Cycle lane separated from the road*</td><td>No</td><td>[EMPTY_CELL]</td><td>100.0</td><td rowspan=\\\"2\\\" colspan=\\\"3\\\">N/A</td></tr><tr><td>Yes</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Cycle lane on the road</td><td>No</td><td>[EMPTY_CELL]</td><td>93.7</td><td>0.46</td><td>0.03-6.48</td><td>.556</td></tr><tr><td>Yes</td><td>36</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">Sidewalks on both sides<sup>‡</sup></td><td>No</td><td>[EMPTY_CELL]</td><td>16.4</td><td>3.07</td><td>0.85-11.04</td><td>.086</td></tr><tr><td>Yes</td><td>474</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">Sidewalks on one side only</td><td>No</td><td>[EMPTY_CELL]</td><td>57.8</td><td>0.37</td><td>0.13-1.04</td><td>.060</td></tr><tr><td>Yes</td><td>239</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">Marked pedestrian crossing</td><td>No</td><td>[EMPTY_CELL]</td><td>18.3</td><td>3.17</td><td>0.98-10.27</td><td>.054</td></tr><tr><td>Yes</td><td>463</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">Traffic calming measures</td><td>No</td><td>[EMPTY_CELL]</td><td>58.7</td><td>4.05</td><td>1.52-10.79</td><td>.005</td></tr><tr><td>Yes</td><td>234</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">School warning sign for road users*</td><td>No</td><td>[EMPTY_CELL]</td><td>1.9</td><td>1.12</td><td>0.07-19.16</td><td>.937</td></tr><tr><td>Yes</td><td>556</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">Road safety sign</td><td>No</td><td>[EMPTY_CELL]</td><td>9.9</td><td>1.29</td><td>0.32-5.12</td><td>.722</td></tr><tr><td>Yes</td><td>501</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td rowspan=\\\"2\\\">Route sign for cyclists</td><td>No</td><td>[EMPTY_CELL]</td><td>77.1</td><td>0.55</td><td>0.16-1.91</td><td>.345</td></tr><tr><td>Yes</td><td>130</td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\">Reference</td></tr><tr><td>Fast food restaurants</td><td>No</td><td>[EMPTY_CELL]</td><td>62.1</td><td>0.41</td><td>0.14-1.20</td><td>.102</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>[EMPTY_CELL]</td><td>37.9</td><td colspan=\\\"3\\\">Reference</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [71, 4, 101, 13]}, {\"cell\": \"<b>Categories</b>\", \"bbox\": [193, 4, 232, 13]}, {\"cell\": \"<b>Frequency</b>\", \"bbox\": [254, 4, 292, 13]}, {\"cell\": \"<b>Percentage</b>\", \"bbox\": [314, 4, 355, 13]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [378, 4, 390, 13]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [418, 4, 444, 13]}, {\"cell\": \"<b>p</b>\", \"bbox\": [474, 4, 480, 13]}, {\"cell\": \"Predominant land use around school*\", \"bbox\": [24, 17, 148, 27]}, {\"cell\": \"Residential\", \"bbox\": [195, 17, 231, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 17, 280, 27]}, {\"cell\": \"89.6\", \"bbox\": [327, 17, 342, 27]}, {\"cell\": \"0.64\", \"bbox\": [377, 17, 392, 27]}, {\"cell\": \"0.14-2.95\", \"bbox\": [416, 17, 446, 27]}, {\"cell\": \".643\", \"bbox\": [470, 17, 484, 27]}, {\"cell\": \"Others\", \"bbox\": [201, 31, 224, 41]}, {\"cell\": \"59\", \"bbox\": [268, 31, 278, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 31, 342, 41]}, {\"cell\": \"Reference\", \"bbox\": [414, 31, 447, 41]}, {\"cell\": \"Place where parents can stop and drop children off*\", \"bbox\": [1, 45, 171, 55]}, {\"cell\": \"No\", \"bbox\": [207, 45, 219, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [270, 45, 276, 55]}, {\"cell\": \"1.4\", \"bbox\": [329, 45, 340, 55]}, {\"cell\": \"7.69\", \"bbox\": [377, 45, 392, 55]}, {\"cell\": \"0.72-81.90\", \"bbox\": [414, 45, 448, 55]}, {\"cell\": \".091\", \"bbox\": [470, 45, 484, 55]}, {\"cell\": \"Yes\", \"bbox\": [206, 59, 219, 69]}, {\"cell\": \"559\", \"bbox\": [267, 59, 280, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 59, 342, 69]}, {\"cell\": \"Reference\", \"bbox\": [414, 59, 447, 69]}, {\"cell\": \"Place where parents can park their cars*\", \"bbox\": [20, 73, 152, 83]}, {\"cell\": \"No\", \"bbox\": [207, 73, 219, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 73, 278, 83]}, {\"cell\": \"15.5\", \"bbox\": [327, 73, 342, 83]}, {\"cell\": \"2.32\", \"bbox\": [377, 73, 392, 83]}, {\"cell\": \"0.44-12.16\", \"bbox\": [414, 73, 448, 83]}, {\"cell\": \".319\", \"bbox\": [470, 73, 484, 83]}, {\"cell\": \"Yes\", \"bbox\": [206, 87, 219, 97]}, {\"cell\": \"479\", \"bbox\": [267, 87, 280, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 87, 342, 97]}, {\"cell\": \"Reference\", \"bbox\": [414, 87, 447, 97]}, {\"cell\": \"Bus stop\", \"bbox\": [71, 101, 101, 111]}, {\"cell\": \"No\", \"bbox\": [207, 101, 219, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 101, 278, 111]}, {\"cell\": \"15.0\", \"bbox\": [327, 101, 342, 111]}, {\"cell\": \"2.00\", \"bbox\": [377, 101, 392, 111]}, {\"cell\": \"0.57-7.02\", \"bbox\": [416, 101, 446, 111]}, {\"cell\": \".276\", \"bbox\": [470, 101, 484, 111]}, {\"cell\": \"Yes\", \"bbox\": [206, 115, 219, 125]}, {\"cell\": \"482\", \"bbox\": [267, 115, 280, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 115, 342, 125]}, {\"cell\": \"Reference\", \"bbox\": [414, 115, 447, 125]}, {\"cell\": \"Cycle lane separated from the road*\", \"bbox\": [27, 129, 145, 139]}, {\"cell\": \"No\", \"bbox\": [207, 129, 219, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 129, 280, 139]}, {\"cell\": \"100.0\", \"bbox\": [325, 129, 344, 139]}, {\"cell\": \"N/A\", \"bbox\": [423, 136, 438, 146]}, {\"cell\": \"Yes\", \"bbox\": [206, 143, 219, 153]}, {\"cell\": \"0\", \"bbox\": [270, 143, 276, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [329, 143, 340, 153]}, {\"cell\": \"Cycle lane on the road\", \"bbox\": [48, 157, 124, 167]}, {\"cell\": \"No\", \"bbox\": [207, 157, 219, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 157, 280, 167]}, {\"cell\": \"93.7\", \"bbox\": [327, 157, 342, 167]}, {\"cell\": \"0.46\", \"bbox\": [377, 157, 392, 167]}, {\"cell\": \"0.03-6.48\", \"bbox\": [416, 157, 446, 167]}, {\"cell\": \".556\", \"bbox\": [470, 157, 484, 167]}, {\"cell\": \"Yes\", \"bbox\": [206, 171, 219, 181]}, {\"cell\": \"36\", \"bbox\": [268, 171, 278, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [329, 171, 340, 181]}, {\"cell\": \"Reference\", \"bbox\": [414, 171, 447, 181]}, {\"cell\": \"Sidewalks on both sides<sup>‡</sup>\", \"bbox\": [45, 184, 127, 195]}, {\"cell\": \"No\", \"bbox\": [207, 185, 219, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 185, 278, 195]}, {\"cell\": \"16.4\", \"bbox\": [327, 185, 342, 195]}, {\"cell\": \"3.07\", \"bbox\": [377, 185, 392, 195]}, {\"cell\": \"0.85-11.04\", \"bbox\": [414, 185, 448, 195]}, {\"cell\": \".086\", \"bbox\": [470, 185, 484, 195]}, {\"cell\": \"Yes\", \"bbox\": [206, 199, 219, 209]}, {\"cell\": \"474\", \"bbox\": [267, 199, 280, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 199, 342, 209]}, {\"cell\": \"Reference\", \"bbox\": [414, 199, 447, 209]}, {\"cell\": \"Sidewalks on one side only\", \"bbox\": [41, 213, 131, 223]}, {\"cell\": \"No\", \"bbox\": [207, 213, 219, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 213, 280, 223]}, {\"cell\": \"57.8\", \"bbox\": [327, 213, 342, 223]}, {\"cell\": \"0.37\", \"bbox\": [377, 213, 392, 223]}, {\"cell\": \"0.13-1.04\", \"bbox\": [416, 213, 446, 223]}, {\"cell\": \".060\", \"bbox\": [470, 213, 484, 223]}, {\"cell\": \"Yes\", \"bbox\": [206, 227, 219, 237]}, {\"cell\": \"239\", \"bbox\": [267, 227, 280, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 227, 342, 237]}, {\"cell\": \"Reference\", \"bbox\": [414, 227, 447, 237]}, {\"cell\": \"Marked pedestrian crossing\", \"bbox\": [41, 241, 131, 251]}, {\"cell\": \"No\", \"bbox\": [207, 241, 219, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 241, 280, 251]}, {\"cell\": \"18.3\", \"bbox\": [327, 241, 342, 251]}, {\"cell\": \"3.17\", \"bbox\": [377, 241, 392, 251]}, {\"cell\": \"0.98-10.27\", \"bbox\": [414, 241, 448, 251]}, {\"cell\": \".054\", \"bbox\": [470, 241, 484, 251]}, {\"cell\": \"Yes\", \"bbox\": [206, 255, 219, 265]}, {\"cell\": \"463\", \"bbox\": [267, 255, 280, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 255, 342, 265]}, {\"cell\": \"Reference\", \"bbox\": [414, 255, 447, 265]}, {\"cell\": \"Traffic calming measures\", \"bbox\": [45, 269, 127, 279]}, {\"cell\": \"No\", \"bbox\": [207, 269, 219, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 269, 280, 279]}, {\"cell\": \"58.7\", \"bbox\": [327, 269, 342, 279]}, {\"cell\": \"4.05\", \"bbox\": [377, 269, 392, 279]}, {\"cell\": \"1.52-10.79\", \"bbox\": [414, 269, 448, 279]}, {\"cell\": \".005\", \"bbox\": [470, 269, 484, 279]}, {\"cell\": \"Yes\", \"bbox\": [206, 283, 219, 293]}, {\"cell\": \"234\", \"bbox\": [267, 283, 280, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 283, 342, 293]}, {\"cell\": \"Reference\", \"bbox\": [414, 283, 447, 293]}, {\"cell\": \"School warning sign for road users*\", \"bbox\": [27, 297, 145, 307]}, {\"cell\": \"No\", \"bbox\": [207, 297, 219, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 297, 278, 307]}, {\"cell\": \"1.9\", \"bbox\": [329, 297, 340, 307]}, {\"cell\": \"1.12\", \"bbox\": [377, 297, 392, 307]}, {\"cell\": \"0.07-19.16\", \"bbox\": [414, 297, 448, 307]}, {\"cell\": \".937\", \"bbox\": [470, 297, 484, 307]}, {\"cell\": \"Yes\", \"bbox\": [206, 311, 219, 321]}, {\"cell\": \"556\", \"bbox\": [267, 311, 280, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 311, 342, 321]}, {\"cell\": \"Reference\", \"bbox\": [414, 311, 447, 321]}, {\"cell\": \"Road safety sign\", \"bbox\": [59, 325, 113, 335]}, {\"cell\": \"No\", \"bbox\": [207, 325, 219, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [268, 325, 278, 335]}, {\"cell\": \"9.9\", \"bbox\": [329, 325, 340, 335]}, {\"cell\": \"1.29\", \"bbox\": [377, 325, 392, 335]}, {\"cell\": \"0.32-5.12\", \"bbox\": [416, 325, 446, 335]}, {\"cell\": \".722\", \"bbox\": [470, 325, 484, 335]}, {\"cell\": \"Yes\", \"bbox\": [206, 339, 219, 349]}, {\"cell\": \"501\", \"bbox\": [267, 339, 280, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 339, 342, 349]}, {\"cell\": \"Reference\", \"bbox\": [414, 339, 447, 349]}, {\"cell\": \"Route sign for cyclists\", \"bbox\": [50, 353, 122, 363]}, {\"cell\": \"No\", \"bbox\": [207, 353, 219, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 353, 280, 363]}, {\"cell\": \"77.1\", \"bbox\": [327, 353, 342, 363]}, {\"cell\": \"0.55\", \"bbox\": [377, 353, 392, 363]}, {\"cell\": \"0.16-1.91\", \"bbox\": [416, 353, 446, 363]}, {\"cell\": \".345\", \"bbox\": [470, 353, 484, 363]}, {\"cell\": \"Yes\", \"bbox\": [206, 367, 219, 377]}, {\"cell\": \"130\", \"bbox\": [267, 367, 280, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [327, 367, 342, 377]}, {\"cell\": \"Reference\", \"bbox\": [414, 367, 447, 377]}, {\"cell\": \"Fast food restaurants\", \"bbox\": [52, 381, 120, 391]}, {\"cell\": \"No\", \"bbox\": [207, 381, 219, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 381, 280, 391]}, {\"cell\": \"62.1\", \"bbox\": [327, 381, 342, 391]}, {\"cell\": \"0.41\", \"bbox\": [377, 381, 392, 391]}, {\"cell\": \"0.14-1.20\", \"bbox\": [416, 381, 446, 391]}, {\"cell\": \".102\", \"bbox\": [470, 381, 484, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [206, 395, 219, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 395, 280, 405]}, {\"cell\": \"37.9\", \"bbox\": [327, 395, 342, 405]}, {\"cell\": \"Reference\", \"bbox\": [414, 395, 447, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4049506_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}853{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Outcome</b></td><td><b>HR</b></td><td><b>95% CI</b></td><td><b><i>P</i> Value</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Incident MI</td></tr><tr><td>All participants (N=991)</td><td>2.68</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Obstructive CAD (n=619)</td><td>1.87</td><td>[EMPTY_CELL]</td><td>0.01</td></tr><tr><td>Nonobstructive CAD (N=226)</td><td>8.41</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td colspan=\\\"4\\\">Incident HF</td></tr><tr><td>All participants (N=991)</td><td>1.60</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>Obstructive CAD (n=619)</td><td>1.17</td><td>[EMPTY_CELL]</td><td>0.46</td></tr><tr><td>Nonobstructive CAD (n=226)</td><td>1.61</td><td>[EMPTY_CELL]</td><td>0.14</td></tr><tr><td colspan=\\\"4\\\">Cardiovascular death</td></tr><tr><td>All participants (N=991)</td><td>2.29</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>Obstructive CAD (n=619)</td><td>2.74</td><td>[EMPTY_CELL]</td><td>0.001</td></tr><tr><td>Nonobstructive CAD (n=226)</td><td>3.60</td><td>[EMPTY_CELL]</td><td>0.03</td></tr><tr><td colspan=\\\"4\\\">All‐cause death</td></tr><tr><td>All participants (N=991)</td><td>1.84</td><td>[EMPTY_CELL]</td><td>0.004</td></tr><tr><td>Obstructive CAD (n=619)</td><td>2.06</td><td>[EMPTY_CELL]</td><td>0.004</td></tr><tr><td>Nonobstructive CAD (n=226)</td><td>2.25</td><td>[EMPTY_CELL]</td><td>0.11</td></tr><tr><td colspan=\\\"4\\\">Incident MI/HF/all‐cause death</td></tr><tr><td>All participants (N=991)</td><td>1.62</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Obstructive CAD (n=619)</td><td>1.71</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Nonobstructive CAD (n=226)</td><td>1.60</td><td>[EMPTY_CELL]</td><td>0.12</td></tr><tr><td colspan=\\\"4\\\">Incident MI/cardiovascular death</td></tr><tr><td>All participants (N=991)</td><td>2.22</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Obstructive CAD (n=619)</td><td>2.06</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Nonobstructive CAD (n=226)</td><td>4.70</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td colspan=\\\"4\\\">Incident MI/all‐cause death</td></tr><tr><td>All participants (N=991)</td><td>2.13</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Obstructive CAD (n=619)</td><td>2.06</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td>Nonobstructive CAD (n=226)</td><td>3.62</td><td>[EMPTY_CELL]</td><td><0.001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Outcome</b>\", \"bbox\": [7, 7, 35, 14]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [121, 7, 131, 14]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [150, 7, 172, 14]}, {\"cell\": \"<b><i>P</i> Value</b>\", \"bbox\": [201, 7, 225, 14]}, {\"cell\": \"Incident MI\", \"bbox\": [7, 21, 44, 30]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 36, 93, 45]}, {\"cell\": \"2.68\", \"bbox\": [121, 36, 137, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 36, 185, 45]}, {\"cell\": \"<0.001\", \"bbox\": [201, 36, 226, 45]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 50, 97, 60]}, {\"cell\": \"1.87\", \"bbox\": [121, 50, 137, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 50, 185, 60]}, {\"cell\": \"0.01\", \"bbox\": [201, 50, 218, 60]}, {\"cell\": \"Nonobstructive CAD (N=226)\", \"bbox\": [16, 65, 109, 75]}, {\"cell\": \"8.41\", \"bbox\": [121, 65, 137, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 65, 185, 75]}, {\"cell\": \"<0.001\", \"bbox\": [201, 65, 226, 75]}, {\"cell\": \"Incident HF\", \"bbox\": [7, 80, 45, 90]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 95, 93, 104]}, {\"cell\": \"1.60\", \"bbox\": [121, 95, 137, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 95, 185, 104]}, {\"cell\": \"0.001\", \"bbox\": [201, 95, 222, 104]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 110, 97, 119]}, {\"cell\": \"1.17\", \"bbox\": [121, 110, 137, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 110, 185, 119]}, {\"cell\": \"0.46\", \"bbox\": [201, 110, 218, 119]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 124, 108, 134]}, {\"cell\": \"1.61\", \"bbox\": [121, 124, 137, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 124, 185, 134]}, {\"cell\": \"0.14\", \"bbox\": [201, 124, 218, 134]}, {\"cell\": \"Cardiovascular death\", \"bbox\": [7, 139, 75, 149]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 154, 93, 164]}, {\"cell\": \"2.29\", \"bbox\": [121, 154, 137, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 154, 185, 164]}, {\"cell\": \"0.001\", \"bbox\": [201, 154, 222, 164]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 169, 97, 178]}, {\"cell\": \"2.74\", \"bbox\": [121, 169, 137, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 169, 185, 178]}, {\"cell\": \"0.001\", \"bbox\": [201, 169, 222, 178]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 184, 108, 193]}, {\"cell\": \"3.60\", \"bbox\": [121, 184, 137, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 184, 185, 193]}, {\"cell\": \"0.03\", \"bbox\": [201, 184, 218, 193]}, {\"cell\": \"All‐cause death\", \"bbox\": [7, 198, 58, 208]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 213, 93, 223]}, {\"cell\": \"1.84\", \"bbox\": [121, 213, 137, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 213, 185, 223]}, {\"cell\": \"0.004\", \"bbox\": [201, 213, 222, 223]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 228, 97, 238]}, {\"cell\": \"2.06\", \"bbox\": [121, 228, 137, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 228, 185, 238]}, {\"cell\": \"0.004\", \"bbox\": [201, 228, 222, 238]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 243, 108, 253]}, {\"cell\": \"2.25\", \"bbox\": [121, 243, 137, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 243, 185, 253]}, {\"cell\": \"0.11\", \"bbox\": [201, 243, 218, 253]}, {\"cell\": \"Incident MI/HF/all‐cause death\", \"bbox\": [7, 258, 105, 267]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 272, 93, 282]}, {\"cell\": \"1.62\", \"bbox\": [121, 272, 137, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 272, 185, 282]}, {\"cell\": \"<0.001\", \"bbox\": [201, 272, 226, 282]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 287, 97, 297]}, {\"cell\": \"1.71\", \"bbox\": [121, 287, 137, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 287, 185, 297]}, {\"cell\": \"<0.001\", \"bbox\": [201, 287, 226, 297]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 302, 108, 312]}, {\"cell\": \"1.60\", \"bbox\": [121, 302, 137, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 302, 185, 312]}, {\"cell\": \"0.12\", \"bbox\": [201, 302, 218, 312]}, {\"cell\": \"Incident MI/cardiovascular death\", \"bbox\": [7, 317, 111, 327]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 332, 93, 341]}, {\"cell\": \"2.22\", \"bbox\": [121, 332, 137, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 332, 185, 341]}, {\"cell\": \"<0.001\", \"bbox\": [201, 332, 226, 341]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 346, 97, 356]}, {\"cell\": \"2.06\", \"bbox\": [121, 346, 137, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 346, 185, 356]}, {\"cell\": \"<0.001\", \"bbox\": [201, 346, 226, 356]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 361, 108, 371]}, {\"cell\": \"4.70\", \"bbox\": [121, 361, 137, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 361, 189, 371]}, {\"cell\": \"<0.001\", \"bbox\": [201, 361, 226, 371]}, {\"cell\": \"Incident MI/all‐cause death\", \"bbox\": [7, 376, 95, 386]}, {\"cell\": \"All participants (N=991)\", \"bbox\": [16, 391, 93, 401]}, {\"cell\": \"2.13\", \"bbox\": [121, 391, 137, 401]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 391, 185, 401]}, {\"cell\": \"<0.001\", \"bbox\": [201, 391, 226, 401]}, {\"cell\": \"Obstructive CAD (n=619)\", \"bbox\": [16, 406, 97, 415]}, {\"cell\": \"2.06\", \"bbox\": [121, 406, 137, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 406, 185, 415]}, {\"cell\": \"<0.001\", \"bbox\": [201, 406, 226, 415]}, {\"cell\": \"Nonobstructive CAD (n=226)\", \"bbox\": [16, 420, 108, 430]}, {\"cell\": \"3.62\", \"bbox\": [121, 420, 137, 430]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 420, 185, 430]}, {\"cell\": \"<0.001\", \"bbox\": [201, 420, 226, 430]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5907559_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}854{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Biological process</b></td><td><b>%<sup>a</sup></b></td><td><b>Pathway</b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>21.60%</td><td>Axon guidance mediated by Slit/Robo (P00008)</td><td>12.20%</td></tr><tr><td>[EMPTY_CELL]</td><td>18.80%</td><td>TGF-beta signaling pathway (P00052)</td><td>10.20%</td></tr><tr><td>[EMPTY_CELL]</td><td>17.00%</td><td>Endothelin signaling pathway (P00019)</td><td>8.20%</td></tr><tr><td>[EMPTY_CELL]</td><td>13.80%</td><td>Gonadotropin releasing hormone receptor pathway (P06664)</td><td>8.20%</td></tr><tr><td>[EMPTY_CELL]</td><td>11.50%</td><td>Wnt signaling pathway (P00057)</td><td>8.20%</td></tr><tr><td>[EMPTY_CELL]</td><td>4.10%</td><td>FGF signaling pathway (P00021)</td><td>8.20%</td></tr><tr><td>[EMPTY_CELL]</td><td>3.20%</td><td>Angiogenesis (P00005)</td><td>6.10%</td></tr><tr><td>[EMPTY_CELL]</td><td>3.20%</td><td>Hedgehog signaling pathway (P00025)</td><td>6.10%</td></tr><tr><td>[EMPTY_CELL]</td><td>3.20%</td><td>Axon guidance mediated by netrin (P00009)</td><td>4.10%</td></tr><tr><td>[EMPTY_CELL]</td><td>1.80%</td><td>CCKR signaling map (P06959)</td><td>4.10%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Biological process</b>\", \"bbox\": [1, 6, 64, 15]}, {\"cell\": \"<b>%<sup>a</sup></b>\", \"bbox\": [192, 5, 205, 15]}, {\"cell\": \"<b>Pathway</b>\", \"bbox\": [255, 6, 286, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 102, 35]}, {\"cell\": \"21.60%\", \"bbox\": [186, 26, 212, 35]}, {\"cell\": \"Axon guidance mediated by Slit/Robo (P00008)\", \"bbox\": [255, 26, 400, 35]}, {\"cell\": \"12.20%\", \"bbox\": [482, 26, 508, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 38, 107, 46]}, {\"cell\": \"18.80%\", \"bbox\": [186, 38, 212, 46]}, {\"cell\": \"TGF-beta signaling pathway (P00052)\", \"bbox\": [255, 38, 370, 46]}, {\"cell\": \"10.20%\", \"bbox\": [482, 38, 508, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 50, 118, 58]}, {\"cell\": \"17.00%\", \"bbox\": [186, 50, 212, 58]}, {\"cell\": \"Endothelin signaling pathway (P00019)\", \"bbox\": [255, 50, 373, 58]}, {\"cell\": \"8.20%\", \"bbox\": [484, 50, 506, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 61, 95, 70]}, {\"cell\": \"13.80%\", \"bbox\": [186, 61, 212, 70]}, {\"cell\": \"Gonadotropin releasing hormone receptor pathway (P06664)\", \"bbox\": [255, 61, 439, 70]}, {\"cell\": \"8.20%\", \"bbox\": [484, 61, 506, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 73, 143, 82]}, {\"cell\": \"11.50%\", \"bbox\": [186, 73, 212, 82]}, {\"cell\": \"Wnt signaling pathway (P00057)\", \"bbox\": [255, 73, 354, 82]}, {\"cell\": \"8.20%\", \"bbox\": [484, 73, 506, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 85, 121, 93]}, {\"cell\": \"4.10%\", \"bbox\": [188, 85, 210, 93]}, {\"cell\": \"FGF signaling pathway (P00021)\", \"bbox\": [255, 85, 354, 93]}, {\"cell\": \"8.20%\", \"bbox\": [484, 85, 506, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 96, 102, 105]}, {\"cell\": \"3.20%\", \"bbox\": [188, 96, 210, 105]}, {\"cell\": \"Angiogenesis (P00005)\", \"bbox\": [255, 96, 326, 105]}, {\"cell\": \"6.10%\", \"bbox\": [484, 96, 506, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 108, 112, 117]}, {\"cell\": \"3.20%\", \"bbox\": [188, 108, 210, 117]}, {\"cell\": \"Hedgehog signaling pathway (P00025)\", \"bbox\": [255, 108, 373, 117]}, {\"cell\": \"6.10%\", \"bbox\": [484, 108, 506, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 120, 105, 128]}, {\"cell\": \"3.20%\", \"bbox\": [188, 120, 210, 128]}, {\"cell\": \"Axon guidance mediated by netrin (P00009)\", \"bbox\": [255, 120, 389, 128]}, {\"cell\": \"4.10%\", \"bbox\": [484, 120, 506, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 132, 82, 140]}, {\"cell\": \"1.80%\", \"bbox\": [188, 132, 210, 140]}, {\"cell\": \"CCKR signaling map (P06959)\", \"bbox\": [255, 132, 348, 140]}, {\"cell\": \"4.10%\", \"bbox\": [484, 132, 506, 140]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5002430_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}855{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Reference</b></td><td><b>Alboni et al. [5] </b></td><td><b>Calkins et al. [15] </b></td><td><b>Del Rosso et al. [16] </b></td><td><b>Del Rosso et al. [6] </b></td><td><b>Galizia et al. [17] </b></td><td><b>Iglesias et al. [18] </b></td><td><b>Sud et al. [19] </b></td></tr></thead><tbody><tr><td>Patient selection</td><td>[EMPTY_CELL]</td><td>≥1 LOC</td><td>≥1 LOC</td><td>≥1 LOC</td><td>≥1 LOC</td><td>≥1 LOC or presyncope</td><td>≥1 LOC with injury or recurrent LOC</td></tr><tr><td>Location</td><td>[EMPTY_CELL]</td><td>US</td><td>Italy</td><td>Italy</td><td>Italy</td><td>Switzerland</td><td>Canada</td></tr><tr><td>Clinical setting</td><td>[EMPTY_CELL]</td><td>Patients referred for evaluation of syncope</td><td>Syncope unit</td><td>Emergency department</td><td>Admitted or emergency department</td><td>Ambulatory syncope clinic</td><td>Patients undergoing monitoring for syncope</td></tr><tr><td>Patient exclusion</td><td>[EMPTY_CELL]</td><td>Sick sinus syndrome</td><td>[EMPTY_CELL]</td><td>Non-syncopal cause of LOC</td><td>Severe cognitive impairment, active malignancies, limitation in activities of daily living</td><td>Seizure, vertigo or coma</td><td>Ejection fraction <35%</td></tr><tr><td>Minimum age for inclusion</td><td>[EMPTY_CELL]</td><td>≥18</td><td>[EMPTY_CELL]</td><td>≥18</td><td>≥65</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Age (mean±SD)</td><td>[EMPTY_CELL]</td><td>58±17</td><td><65: 43±16; ≥65: 76±7</td><td>63±21</td><td>79±7</td><td>52±21</td><td>67±14</td></tr><tr><td>Number of patients</td><td>[EMPTY_CELL]</td><td>80</td><td>485</td><td>260</td><td>231</td><td>939</td><td>52</td></tr><tr><td>Main diagnostic categories</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Cardiac syncope</td><td>[EMPTY_CELL]</td><td>AV block; VT</td><td>CS</td><td>CS</td><td>CS</td><td>Arrhythmia</td><td>Primary arrhythmic</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>n=16, n=32</td><td>n=116</td><td>n=44</td><td>n=34</td><td>n=148</td><td>n=20</td></tr><tr><td>(Predominantly) neurally mediated syncope</td><td>[EMPTY_CELL]</td><td>Vasodepressor</td><td>VVS</td><td>Non-CS</td><td>Non-CS</td><td>VV/Psy</td><td>Nonarrhythmia</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>n=32</td><td>n=296</td><td>n=216</td><td>n=174</td><td>n=387</td><td>n=32</td></tr><tr><td>Other</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Unknown</td><td>[EMPTY_CELL]</td><td>Unknown</td><td>Hypotension Miscellaneous Unexplained</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>n=73</td><td>[EMPTY_CELL]</td><td>n=23</td><td>n=58, n=27, n=319</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Reference</b>\", \"bbox\": [1, 25, 34, 37]}, {\"cell\": \"<b>Alboni et al. [5] </b>\", \"bbox\": [72, 25, 120, 37]}, {\"cell\": \"<b>Calkins et al. [15] </b>\", \"bbox\": [131, 25, 186, 37]}, {\"cell\": \"<b>Del Rosso et al. [16] </b>\", \"bbox\": [199, 14, 240, 37]}, {\"cell\": \"<b>Del Rosso et al. [6] </b>\", \"bbox\": [247, 14, 297, 37]}, {\"cell\": \"<b>Galizia et al. [17] </b>\", \"bbox\": [302, 25, 355, 37]}, {\"cell\": \"<b>Iglesias et al. [18] </b>\", \"bbox\": [369, 25, 424, 37]}, {\"cell\": \"<b>Sud et al. [19] </b>\", \"bbox\": [435, 25, 479, 37]}, {\"cell\": \"Patient selection\", \"bbox\": [1, 42, 50, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 42, 96, 53]}, {\"cell\": \"≥1 LOC\", \"bbox\": [131, 42, 155, 53]}, {\"cell\": \"≥1 LOC\", \"bbox\": [199, 42, 223, 53]}, {\"cell\": \"≥1 LOC\", \"bbox\": [247, 42, 271, 53]}, {\"cell\": \"≥1 LOC\", \"bbox\": [302, 42, 326, 53]}, {\"cell\": \"≥1 LOC or presyncope\", \"bbox\": [369, 37, 404, 59]}, {\"cell\": \"≥1 LOC with injury or recurrent LOC\", \"bbox\": [435, 37, 498, 59]}, {\"cell\": \"Location\", \"bbox\": [1, 59, 27, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 59, 86, 70]}, {\"cell\": \"US\", \"bbox\": [131, 59, 142, 70]}, {\"cell\": \"Italy\", \"bbox\": [199, 59, 213, 70]}, {\"cell\": \"Italy\", \"bbox\": [247, 59, 261, 70]}, {\"cell\": \"Italy\", \"bbox\": [302, 59, 316, 70]}, {\"cell\": \"Switzerland\", \"bbox\": [369, 59, 404, 70]}, {\"cell\": \"Canada\", \"bbox\": [435, 59, 460, 70]}, {\"cell\": \"Clinical setting\", \"bbox\": [1, 81, 44, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 81, 111, 92]}, {\"cell\": \"Patients referred for evaluation of syncope\", \"bbox\": [131, 70, 190, 103]}, {\"cell\": \"Syncope unit\", \"bbox\": [199, 81, 238, 92]}, {\"cell\": \"Emergency department\", \"bbox\": [247, 75, 282, 97]}, {\"cell\": \"Admitted or emergency department\", \"bbox\": [302, 70, 337, 103]}, {\"cell\": \"Ambulatory syncope clinic\", \"bbox\": [369, 75, 429, 97]}, {\"cell\": \"Patients undergoing monitoring for syncope\", \"bbox\": [435, 70, 495, 103]}, {\"cell\": \"Patient exclusion\", \"bbox\": [1, 125, 52, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Sick sinus syndrome\", \"bbox\": [131, 125, 192, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Non-syncopal cause of LOC\", \"bbox\": [247, 119, 289, 141]}, {\"cell\": \"Severe cognitive impairment, active malignancies, limitation in activities of daily living\", \"bbox\": [302, 103, 363, 158]}, {\"cell\": \"Seizure, vertigo or coma\", \"bbox\": [369, 119, 423, 141]}, {\"cell\": \"Ejection fraction <35%\", \"bbox\": [435, 119, 483, 141]}, {\"cell\": \"Minimum age for inclusion\", \"bbox\": [1, 158, 51, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 163, 85, 174]}, {\"cell\": \"≥18\", \"bbox\": [131, 163, 144, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥18\", \"bbox\": [247, 163, 260, 174]}, {\"cell\": \"≥65\", \"bbox\": [302, 163, 315, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (mean±SD)\", \"bbox\": [1, 185, 49, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 185, 92, 196]}, {\"cell\": \"58±17\", \"bbox\": [131, 185, 151, 196]}, {\"cell\": \"<65: 43±16; ≥65: 76±7\", \"bbox\": [199, 180, 235, 202]}, {\"cell\": \"63±21\", \"bbox\": [247, 185, 267, 196]}, {\"cell\": \"79±7\", \"bbox\": [302, 185, 319, 196]}, {\"cell\": \"52±21\", \"bbox\": [369, 185, 389, 196]}, {\"cell\": \"67±14\", \"bbox\": [435, 185, 455, 196]}, {\"cell\": \"Number of patients\", \"bbox\": [1, 202, 57, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 202, 85, 213]}, {\"cell\": \"80\", \"bbox\": [131, 202, 140, 213]}, {\"cell\": \"485\", \"bbox\": [199, 202, 212, 213]}, {\"cell\": \"260\", \"bbox\": [247, 202, 260, 213]}, {\"cell\": \"231\", \"bbox\": [302, 202, 315, 213]}, {\"cell\": \"939\", \"bbox\": [369, 202, 381, 213]}, {\"cell\": \"52\", \"bbox\": [435, 202, 444, 213]}, {\"cell\": \"Main diagnostic categories\", \"bbox\": [1, 213, 48, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Cardiac syncope\", \"bbox\": [1, 235, 51, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 235, 83, 246]}, {\"cell\": \"AV block; VT\", \"bbox\": [131, 235, 170, 246]}, {\"cell\": \"CS\", \"bbox\": [199, 235, 210, 246]}, {\"cell\": \"CS\", \"bbox\": [247, 235, 258, 246]}, {\"cell\": \"CS\", \"bbox\": [302, 235, 313, 246]}, {\"cell\": \"Arrhythmia\", \"bbox\": [369, 235, 402, 246]}, {\"cell\": \"Primary arrhythmic\", \"bbox\": [435, 235, 492, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 246, 88, 257]}, {\"cell\": \"n=16, n=32\", \"bbox\": [131, 246, 166, 257]}, {\"cell\": \"n=116\", \"bbox\": [199, 246, 219, 257]}, {\"cell\": \"n=44\", \"bbox\": [247, 246, 264, 257]}, {\"cell\": \"n=34\", \"bbox\": [302, 246, 319, 257]}, {\"cell\": \"n=148\", \"bbox\": [369, 246, 389, 257]}, {\"cell\": \"n=20\", \"bbox\": [435, 246, 452, 257]}, {\"cell\": \"(Predominantly) neurally mediated syncope\", \"bbox\": [1, 257, 54, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 262, 126, 284]}, {\"cell\": \"Vasodepressor\", \"bbox\": [131, 268, 177, 279]}, {\"cell\": \"VVS\", \"bbox\": [199, 268, 214, 279]}, {\"cell\": \"Non-CS\", \"bbox\": [247, 268, 272, 279]}, {\"cell\": \"Non-CS\", \"bbox\": [302, 268, 327, 279]}, {\"cell\": \"VV/Psy\", \"bbox\": [369, 268, 392, 279]}, {\"cell\": \"Nonarrhythmia\", \"bbox\": [435, 268, 480, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 290, 92, 301]}, {\"cell\": \"n=32\", \"bbox\": [131, 290, 147, 301]}, {\"cell\": \"n=296\", \"bbox\": [199, 290, 219, 301]}, {\"cell\": \"n=216\", \"bbox\": [247, 290, 267, 301]}, {\"cell\": \"n=174\", \"bbox\": [302, 290, 322, 301]}, {\"cell\": \"n=387\", \"bbox\": [369, 290, 389, 301]}, {\"cell\": \"n=32\", \"bbox\": [435, 290, 452, 301]}, {\"cell\": \"Other\", \"bbox\": [1, 312, 19, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 301, 112, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unknown\", \"bbox\": [199, 312, 228, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Unknown\", \"bbox\": [302, 312, 331, 323]}, {\"cell\": \"Hypotension Miscellaneous Unexplained\", \"bbox\": [369, 301, 412, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [72, 334, 88, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n=73\", \"bbox\": [199, 334, 215, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"n=23\", \"bbox\": [302, 334, 319, 345]}, {\"cell\": \"n=58, n=27, n=319\", \"bbox\": [369, 334, 425, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3815402_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}856{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Ki67 expression</b></td><td colspan=\\\"4\\\"><b>Ano1 expression</b></td></tr><tr><td><b>Lown (%)</b></td><td><b>Highn (%)</b></td><td><b><i>P</i> value<sup>†,‡</sup></b></td><td><b>OR(95%CI)<sup>§</sup></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>97(39.9)</td><td>146(60.1)</td><td>0.054<sup>†</sup></td><td>1 (reference)</td></tr><tr><td>[EMPTY_CELL]</td><td>20(57.1)</td><td>15(42.9)</td><td><b>0.048</b><sup>‡</sup></td><td><b>0.480(0.232-0.995)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>48(43.6)</td><td>62(56.4)</td><td>0.467<sup>†</sup></td><td>1 (reference)</td></tr><tr><td>[EMPTY_CELL]</td><td>10(52.6)</td><td>9(47.4)</td><td>0.480<sup>‡</sup></td><td>0.699(0.259-1.885)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>94(39.2)</td><td>146(60.8)</td><td>0.289<sup>†</sup></td><td>1 (reference)</td></tr><tr><td>[EMPTY_CELL]</td><td>17(48.6)</td><td>18(51.4)</td><td>0.250<sup>‡</sup></td><td>0.654(0.317-1.348)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>51(45.1)</td><td>62(54.9)</td><td>0.060<sup>†</sup></td><td>1 (reference)</td></tr><tr><td>[EMPTY_CELL]</td><td>13(68.4)</td><td>6(31.6)</td><td>0.057<sup>‡</sup></td><td>0.356(0.123-1.029)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>25(29.8)</td><td>59(70.2)</td><td>0.801<sup>†</sup></td><td>1 (reference)</td></tr><tr><td>[EMPTY_CELL]</td><td>4(33.3)</td><td>8(66.7)</td><td>0.935<sup>‡</sup></td><td>0.942(0.227-3.911)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>120(44.6)</td><td>149(55.4)</td><td><b>0.037</b><sup>†</sup></td><td>1 (reference)</td></tr><tr><td>[EMPTY_CELL]</td><td>26(61.9)</td><td>16(38.1)</td><td><b>0.040</b><sup>‡</sup></td><td><b>0.497(0.255-0.969)</b></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Ki67 expression</b>\", \"bbox\": [4, 6, 73, 16]}, {\"cell\": \"<b>Ano1 expression</b>\", \"bbox\": [288, 6, 361, 16]}, {\"cell\": \"<b>Lown (%)</b>\", \"bbox\": [175, 22, 201, 45]}, {\"cell\": \"<b>Highn (%)</b>\", \"bbox\": [249, 22, 276, 45]}, {\"cell\": \"<b><i>P</i> value<sup>†,‡</sup></b>\", \"bbox\": [317, 22, 357, 33]}, {\"cell\": \"<b>OR(95%CI)<sup>§</sup></b>\", \"bbox\": [408, 22, 465, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 52, 92, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 69, 34, 80]}, {\"cell\": \"97(39.9)\", \"bbox\": [170, 69, 206, 80]}, {\"cell\": \"146(60.1)\", \"bbox\": [242, 69, 283, 80]}, {\"cell\": \"0.054<sup>†</sup>\", \"bbox\": [323, 68, 351, 80]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 69, 463, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 86, 35, 97]}, {\"cell\": \"20(57.1)\", \"bbox\": [170, 86, 206, 97]}, {\"cell\": \"15(42.9)\", \"bbox\": [244, 86, 281, 97]}, {\"cell\": \"<b>0.048</b><sup>‡</sup>\", \"bbox\": [323, 85, 351, 97]}, {\"cell\": \"<b>0.480(0.232-0.995)</b>\", \"bbox\": [397, 86, 476, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 103, 95, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 120, 34, 131]}, {\"cell\": \"48(43.6)\", \"bbox\": [170, 120, 206, 131]}, {\"cell\": \"62(56.4)\", \"bbox\": [244, 120, 281, 131]}, {\"cell\": \"0.467<sup>†</sup>\", \"bbox\": [323, 119, 351, 131]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 120, 463, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 136, 36, 148]}, {\"cell\": \"10(52.6)\", \"bbox\": [170, 136, 206, 148]}, {\"cell\": \"9(47.4)\", \"bbox\": [247, 136, 278, 148]}, {\"cell\": \"0.480<sup>‡</sup>\", \"bbox\": [323, 136, 351, 148]}, {\"cell\": \"0.699(0.259-1.885)\", \"bbox\": [397, 136, 476, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 153, 91, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 170, 34, 181]}, {\"cell\": \"94(39.2)\", \"bbox\": [170, 170, 206, 181]}, {\"cell\": \"146(60.8)\", \"bbox\": [242, 170, 283, 181]}, {\"cell\": \"0.289<sup>†</sup>\", \"bbox\": [323, 170, 351, 181]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 170, 463, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 187, 36, 198]}, {\"cell\": \"17(48.6)\", \"bbox\": [170, 187, 206, 198]}, {\"cell\": \"18(51.4)\", \"bbox\": [244, 187, 281, 198]}, {\"cell\": \"0.250<sup>‡</sup>\", \"bbox\": [323, 187, 351, 198]}, {\"cell\": \"0.654(0.317-1.348)\", \"bbox\": [397, 187, 476, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 204, 94, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 221, 34, 232]}, {\"cell\": \"51(45.1)\", \"bbox\": [170, 221, 206, 232]}, {\"cell\": \"62(54.9)\", \"bbox\": [244, 221, 281, 232]}, {\"cell\": \"0.060<sup>†</sup>\", \"bbox\": [323, 221, 351, 232]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 221, 463, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 238, 36, 249]}, {\"cell\": \"13(68.4)\", \"bbox\": [170, 238, 206, 249]}, {\"cell\": \"6(31.6)\", \"bbox\": [247, 238, 278, 249]}, {\"cell\": \"0.057<sup>‡</sup>\", \"bbox\": [323, 238, 351, 249]}, {\"cell\": \"0.356(0.123-1.029)\", \"bbox\": [397, 238, 476, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 255, 102, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 272, 34, 283]}, {\"cell\": \"25(29.8)\", \"bbox\": [170, 272, 206, 283]}, {\"cell\": \"59(70.2)\", \"bbox\": [244, 272, 281, 283]}, {\"cell\": \"0.801<sup>†</sup>\", \"bbox\": [323, 271, 351, 283]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 272, 463, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 289, 36, 300]}, {\"cell\": \"4(33.3)\", \"bbox\": [172, 289, 203, 300]}, {\"cell\": \"8(66.7)\", \"bbox\": [247, 289, 278, 300]}, {\"cell\": \"0.935<sup>‡</sup>\", \"bbox\": [323, 288, 351, 300]}, {\"cell\": \"0.942(0.227-3.911)\", \"bbox\": [397, 289, 476, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 306, 107, 317]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 323, 34, 334]}, {\"cell\": \"120(44.6)\", \"bbox\": [167, 323, 208, 334]}, {\"cell\": \"149(55.4)\", \"bbox\": [242, 323, 283, 334]}, {\"cell\": \"<b>0.037</b><sup>†</sup>\", \"bbox\": [323, 322, 351, 334]}, {\"cell\": \"1 (reference)\", \"bbox\": [410, 323, 463, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 340, 36, 351]}, {\"cell\": \"26(61.9)\", \"bbox\": [170, 340, 206, 351]}, {\"cell\": \"16(38.1)\", \"bbox\": [244, 340, 281, 351]}, {\"cell\": \"<b>0.040</b><sup>‡</sup>\", \"bbox\": [323, 339, 351, 351]}, {\"cell\": \"<b>0.497(0.255-0.969)</b>\", \"bbox\": [397, 340, 476, 351]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5689589_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}857{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Sex</b></td><td><b>Age</b></td><td><b>WBC</b></td><td><b>RBC</b></td><td><b>HGB</b></td><td><b>HCT</b></td><td><b>MCV</b></td><td><b>MCH</b></td><td><b>MCHC</b></td><td><b>RBC Morph.</b></td></tr></thead><tbody><tr><td>M</td><td>1 y 10 m</td><td>5.3</td><td>8.3</td><td>18.3</td><td>52</td><td>63</td><td>[EMPTY_CELL]</td><td>31</td><td>Normal</td></tr><tr><td>M</td><td>1 y 10 m</td><td>5.9</td><td>8.6</td><td>16.8</td><td>52</td><td>60</td><td>[EMPTY_CELL]</td><td>32</td><td>PC<sup><i>∗</i></sup></td></tr><tr><td>M</td><td>1 y 5 m</td><td>8.7</td><td>7.6</td><td>14.8</td><td>49</td><td>64</td><td>[EMPTY_CELL]</td><td>30</td><td>PC<sup><i>∗</i></sup></td></tr><tr><td>M</td><td>1 y 5 m</td><td>4.5</td><td>8.8</td><td>16.4</td><td>53</td><td>60</td><td>[EMPTY_CELL]</td><td>31</td><td>Normal</td></tr><tr><td>M</td><td>1 y 5 m</td><td>4.5</td><td>8.7</td><td>16.3</td><td>52</td><td>60</td><td>[EMPTY_CELL]</td><td>31</td><td>PC<sup><i>∗</i></sup></td></tr><tr><td>M</td><td>1 y 5 m</td><td>7</td><td>8.9</td><td>16.7</td><td>55</td><td>62</td><td>[EMPTY_CELL]</td><td>30</td><td>PC<sup><i>∗</i></sup>/AN<sup><i>∗</i></sup></td></tr><tr><td>F</td><td>1 y 6 m</td><td>3.7</td><td>7.5</td><td>14.2</td><td>47</td><td>63</td><td>[EMPTY_CELL]</td><td>30</td><td>Normal</td></tr><tr><td>M</td><td>1 y 6 m</td><td>5.4</td><td>8.3</td><td>15.6</td><td>52</td><td>62</td><td>[EMPTY_CELL]</td><td>30</td><td>Normal</td></tr><tr><td>F</td><td>1 y 5 m</td><td>4.8</td><td>7.8</td><td>15</td><td>49</td><td>63</td><td>[EMPTY_CELL]</td><td>31</td><td>Normal</td></tr><tr><td>F</td><td>1 y 5 m</td><td>3.7</td><td>7.1</td><td>13.7</td><td>46</td><td>65</td><td>[EMPTY_CELL]</td><td>30</td><td>Normal</td></tr><tr><td colspan=\\\"2\\\">Ave.</td><td>5.4</td><td>8.2</td><td>15.8</td><td>51</td><td>62</td><td>19.1</td><td>[EMPTY_CELL]</td><td>n/a</td></tr><tr><td colspan=\\\"2\\\">Ref. range</td><td>5.5–11</td><td>5.5–10.5</td><td>10.6–17.2</td><td>33–50</td><td>47–66</td><td>15–23</td><td>[EMPTY_CELL]</td><td>n/a</td></tr><tr><td colspan=\\\"2\\\">Units</td><td>10<sup>3</sup>/<i>μ</i>L</td><td>10<sup>6</sup>/<i>μ</i>L</td><td>g/dL</td><td>%</td><td>fL</td><td>pg</td><td>[EMPTY_CELL]</td><td>n/a</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Sex</b>\", \"bbox\": [2, 4, 17, 15]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [44, 4, 60, 15]}, {\"cell\": \"<b>WBC</b>\", \"bbox\": [92, 4, 115, 15]}, {\"cell\": \"<b>RBC</b>\", \"bbox\": [146, 4, 165, 15]}, {\"cell\": \"<b>HGB</b>\", \"bbox\": [202, 4, 222, 15]}, {\"cell\": \"<b>HCT</b>\", \"bbox\": [254, 4, 274, 15]}, {\"cell\": \"<b>MCV</b>\", \"bbox\": [301, 4, 323, 15]}, {\"cell\": \"<b>MCH</b>\", \"bbox\": [348, 4, 371, 15]}, {\"cell\": \"<b>MCHC</b>\", \"bbox\": [395, 4, 424, 15]}, {\"cell\": \"<b>RBC Morph.</b>\", \"bbox\": [449, 4, 497, 15]}, {\"cell\": \"M\", \"bbox\": [2, 17, 12, 27]}, {\"cell\": \"1 y 10 m\", \"bbox\": [37, 17, 66, 27]}, {\"cell\": \"5.3\", \"bbox\": [97, 17, 110, 27]}, {\"cell\": \"8.3\", \"bbox\": [150, 17, 162, 27]}, {\"cell\": \"18.3\", \"bbox\": [204, 17, 220, 27]}, {\"cell\": \"52\", \"bbox\": [259, 17, 269, 27]}, {\"cell\": \"63\", \"bbox\": [307, 17, 317, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 17, 367, 27]}, {\"cell\": \"31\", \"bbox\": [405, 17, 414, 27]}, {\"cell\": \"Normal\", \"bbox\": [458, 17, 488, 27]}, {\"cell\": \"M\", \"bbox\": [2, 29, 12, 40]}, {\"cell\": \"1 y 10 m\", \"bbox\": [37, 29, 66, 40]}, {\"cell\": \"5.9\", \"bbox\": [97, 29, 110, 40]}, {\"cell\": \"8.6\", \"bbox\": [150, 29, 162, 40]}, {\"cell\": \"16.8\", \"bbox\": [204, 29, 220, 40]}, {\"cell\": \"52\", \"bbox\": [259, 29, 269, 40]}, {\"cell\": \"60\", \"bbox\": [307, 29, 318, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 29, 367, 40]}, {\"cell\": \"32\", \"bbox\": [405, 29, 415, 40]}, {\"cell\": \"PC<sup><i>∗</i></sup>\", \"bbox\": [464, 25, 481, 40]}, {\"cell\": \"M\", \"bbox\": [2, 42, 12, 52]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 42, 65, 52]}, {\"cell\": \"8.7\", \"bbox\": [97, 42, 110, 52]}, {\"cell\": \"7.6\", \"bbox\": [150, 42, 162, 52]}, {\"cell\": \"14.8\", \"bbox\": [204, 42, 220, 52]}, {\"cell\": \"49\", \"bbox\": [259, 42, 270, 52]}, {\"cell\": \"64\", \"bbox\": [307, 42, 318, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 42, 367, 52]}, {\"cell\": \"30\", \"bbox\": [405, 42, 415, 52]}, {\"cell\": \"PC<sup><i>∗</i></sup>\", \"bbox\": [464, 38, 481, 52]}, {\"cell\": \"M\", \"bbox\": [2, 54, 12, 65]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 54, 65, 65]}, {\"cell\": \"4.5\", \"bbox\": [97, 54, 110, 65]}, {\"cell\": \"8.8\", \"bbox\": [150, 54, 162, 65]}, {\"cell\": \"16.4\", \"bbox\": [204, 54, 220, 65]}, {\"cell\": \"53\", \"bbox\": [259, 54, 269, 65]}, {\"cell\": \"60\", \"bbox\": [307, 54, 318, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 54, 367, 65]}, {\"cell\": \"31\", \"bbox\": [405, 54, 414, 65]}, {\"cell\": \"Normal\", \"bbox\": [458, 54, 488, 65]}, {\"cell\": \"M\", \"bbox\": [2, 67, 12, 77]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 67, 65, 77]}, {\"cell\": \"4.5\", \"bbox\": [97, 67, 110, 77]}, {\"cell\": \"8.7\", \"bbox\": [150, 67, 162, 77]}, {\"cell\": \"16.3\", \"bbox\": [204, 67, 220, 77]}, {\"cell\": \"52\", \"bbox\": [259, 67, 269, 77]}, {\"cell\": \"60\", \"bbox\": [307, 67, 318, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 67, 367, 77]}, {\"cell\": \"31\", \"bbox\": [405, 67, 414, 77]}, {\"cell\": \"PC<sup><i>∗</i></sup>\", \"bbox\": [464, 63, 481, 77]}, {\"cell\": \"M\", \"bbox\": [2, 79, 12, 90]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 79, 65, 90]}, {\"cell\": \"7\", \"bbox\": [100, 79, 107, 90]}, {\"cell\": \"8.9\", \"bbox\": [150, 79, 162, 90]}, {\"cell\": \"16.7\", \"bbox\": [204, 79, 220, 90]}, {\"cell\": \"55\", \"bbox\": [259, 79, 269, 90]}, {\"cell\": \"62\", \"bbox\": [307, 79, 317, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 79, 367, 90]}, {\"cell\": \"30\", \"bbox\": [405, 79, 415, 90]}, {\"cell\": \"PC<sup><i>∗</i></sup>/AN<sup><i>∗</i></sup>\", \"bbox\": [454, 75, 491, 90]}, {\"cell\": \"F\", \"bbox\": [2, 91, 9, 102]}, {\"cell\": \"1 y 6 m\", \"bbox\": [39, 91, 65, 102]}, {\"cell\": \"3.7\", \"bbox\": [97, 91, 110, 102]}, {\"cell\": \"7.5\", \"bbox\": [150, 91, 161, 102]}, {\"cell\": \"14.2\", \"bbox\": [204, 91, 220, 102]}, {\"cell\": \"47\", \"bbox\": [259, 91, 270, 102]}, {\"cell\": \"63\", \"bbox\": [307, 91, 317, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 91, 368, 102]}, {\"cell\": \"30\", \"bbox\": [405, 91, 415, 102]}, {\"cell\": \"Normal\", \"bbox\": [458, 91, 488, 102]}, {\"cell\": \"M\", \"bbox\": [2, 104, 12, 115]}, {\"cell\": \"1 y 6 m\", \"bbox\": [39, 104, 65, 115]}, {\"cell\": \"5.4\", \"bbox\": [97, 104, 110, 115]}, {\"cell\": \"8.3\", \"bbox\": [150, 104, 162, 115]}, {\"cell\": \"15.6\", \"bbox\": [204, 104, 220, 115]}, {\"cell\": \"52\", \"bbox\": [259, 104, 269, 115]}, {\"cell\": \"62\", \"bbox\": [307, 104, 317, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 104, 367, 115]}, {\"cell\": \"30\", \"bbox\": [405, 104, 415, 115]}, {\"cell\": \"Normal\", \"bbox\": [458, 104, 488, 115]}, {\"cell\": \"F\", \"bbox\": [2, 116, 9, 127]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 116, 65, 127]}, {\"cell\": \"4.8\", \"bbox\": [97, 116, 110, 127]}, {\"cell\": \"7.8\", \"bbox\": [150, 116, 162, 127]}, {\"cell\": \"15\", \"bbox\": [207, 116, 216, 127]}, {\"cell\": \"49\", \"bbox\": [259, 116, 270, 127]}, {\"cell\": \"63\", \"bbox\": [307, 116, 317, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 116, 367, 127]}, {\"cell\": \"31\", \"bbox\": [405, 116, 414, 127]}, {\"cell\": \"Normal\", \"bbox\": [458, 116, 488, 127]}, {\"cell\": \"F\", \"bbox\": [2, 129, 9, 139]}, {\"cell\": \"1 y 5 m\", \"bbox\": [39, 129, 65, 139]}, {\"cell\": \"3.7\", \"bbox\": [97, 129, 110, 139]}, {\"cell\": \"7.1\", \"bbox\": [151, 129, 161, 139]}, {\"cell\": \"13.7\", \"bbox\": [204, 129, 220, 139]}, {\"cell\": \"46\", \"bbox\": [259, 129, 270, 139]}, {\"cell\": \"65\", \"bbox\": [307, 129, 317, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 129, 367, 139]}, {\"cell\": \"30\", \"bbox\": [404, 129, 415, 139]}, {\"cell\": \"Normal\", \"bbox\": [458, 129, 488, 139]}, {\"cell\": \"Ave.\", \"bbox\": [26, 142, 43, 152]}, {\"cell\": \"5.4\", \"bbox\": [97, 142, 110, 152]}, {\"cell\": \"8.2\", \"bbox\": [150, 142, 162, 152]}, {\"cell\": \"15.8\", \"bbox\": [204, 142, 220, 152]}, {\"cell\": \"51\", \"bbox\": [260, 142, 269, 152]}, {\"cell\": \"62\", \"bbox\": [307, 142, 317, 152]}, {\"cell\": \"19.1\", \"bbox\": [353, 142, 367, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 142, 414, 152]}, {\"cell\": \"n/a\", \"bbox\": [466, 142, 479, 152]}, {\"cell\": \"Ref. range\", \"bbox\": [15, 154, 53, 165]}, {\"cell\": \"5.5–11\", \"bbox\": [92, 154, 115, 165]}, {\"cell\": \"5.5–10.5\", \"bbox\": [141, 154, 171, 165]}, {\"cell\": \"10.6–17.2\", \"bbox\": [196, 154, 228, 165]}, {\"cell\": \"33–50\", \"bbox\": [253, 154, 276, 165]}, {\"cell\": \"47–66\", \"bbox\": [300, 154, 324, 165]}, {\"cell\": \"15–23\", \"bbox\": [349, 154, 371, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 154, 421, 165]}, {\"cell\": \"n/a\", \"bbox\": [466, 154, 479, 165]}, {\"cell\": \"Units\", \"bbox\": [24, 167, 45, 177]}, {\"cell\": \"10<sup>3</sup>/<i>μ</i>L\", \"bbox\": [91, 163, 116, 179]}, {\"cell\": \"10<sup>6</sup>/<i>μ</i>L\", \"bbox\": [143, 163, 169, 179]}, {\"cell\": \"g/dL\", \"bbox\": [203, 167, 221, 177]}, {\"cell\": \"%\", \"bbox\": [260, 167, 269, 177]}, {\"cell\": \"fL\", \"bbox\": [307, 167, 317, 177]}, {\"cell\": \"pg\", \"bbox\": [354, 167, 365, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [401, 167, 419, 177]}, {\"cell\": \"n/a\", \"bbox\": [466, 167, 479, 177]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4736415_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}858{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene</b></td><td><b>Accession Number</b></td><td><b>Primer sequence(5'-3')</b></td><td><b>Product length</b></td><td><b>Tm</b></td></tr></thead><tbody><tr><td>ERCC1</td><td>NM_001983.3</td><td>[EMPTY_CELL]</td><td>273 bp</td><td>59°C</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>BAG1</td><td>NM_004323.5</td><td>[EMPTY_CELL]</td><td>242 bp</td><td>54.5°C</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>BRCA1</td><td>NM_007294.3</td><td>[EMPTY_CELL]</td><td>208 bp</td><td>55.6°C</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>RRM1</td><td>NM_001033.3</td><td>[EMPTY_CELL]</td><td>161 bp</td><td>57.5°C</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TUBB3</td><td>NM_006086.3</td><td>[EMPTY_CELL]</td><td>222 bp</td><td>49°C</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>β-actin</td><td>NM_001101.3</td><td>[EMPTY_CELL]</td><td>334 bp</td><td>60°C</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene</b>\", \"bbox\": [18, 4, 38, 13]}, {\"cell\": \"<b>Accession Number</b>\", \"bbox\": [59, 4, 125, 13]}, {\"cell\": \"<b>Primer sequence(5'-3')</b>\", \"bbox\": [159, 4, 238, 13]}, {\"cell\": \"<b>Product length</b>\", \"bbox\": [360, 4, 414, 13]}, {\"cell\": \"<b>Tm</b>\", \"bbox\": [452, 4, 465, 13]}, {\"cell\": \"ERCC1\", \"bbox\": [16, 17, 39, 26]}, {\"cell\": \"NM_001983.3\", \"bbox\": [59, 17, 104, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 17, 303, 26]}, {\"cell\": \"273 bp\", \"bbox\": [374, 17, 399, 26]}, {\"cell\": \"59°C\", \"bbox\": [450, 17, 467, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 30, 300, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BAG1\", \"bbox\": [18, 44, 37, 53]}, {\"cell\": \"NM_004323.5\", \"bbox\": [59, 44, 104, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 44, 291, 53]}, {\"cell\": \"242 bp\", \"bbox\": [374, 44, 399, 53]}, {\"cell\": \"54.5°C\", \"bbox\": [448, 44, 469, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 57, 301, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BRCA1\", \"bbox\": [16, 70, 39, 79]}, {\"cell\": \"NM_007294.3\", \"bbox\": [59, 70, 104, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 70, 299, 79]}, {\"cell\": \"208 bp\", \"bbox\": [374, 70, 399, 79]}, {\"cell\": \"55.6°C\", \"bbox\": [448, 70, 469, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 83, 305, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RRM1\", \"bbox\": [18, 96, 38, 106]}, {\"cell\": \"NM_001033.3\", \"bbox\": [59, 96, 104, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 96, 288, 106]}, {\"cell\": \"161 bp\", \"bbox\": [374, 96, 399, 106]}, {\"cell\": \"57.5°C\", \"bbox\": [448, 96, 469, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 110, 294, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TUBB3\", \"bbox\": [16, 123, 39, 132]}, {\"cell\": \"NM_006086.3\", \"bbox\": [59, 123, 104, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 123, 284, 132]}, {\"cell\": \"222 bp\", \"bbox\": [374, 123, 399, 132]}, {\"cell\": \"49°C\", \"bbox\": [450, 123, 467, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 136, 284, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"β-actin\", \"bbox\": [16, 149, 40, 159]}, {\"cell\": \"NM_001101.3\", \"bbox\": [59, 149, 104, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 149, 298, 158]}, {\"cell\": \"334 bp\", \"bbox\": [374, 149, 399, 158]}, {\"cell\": \"60°C\", \"bbox\": [450, 149, 467, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 162, 310, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3338093_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}859{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Frequency</b></td><td><b>Percent</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>64.6</td></tr><tr><td>[EMPTY_CELL]</td><td>23</td><td>35.4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>29</td><td>44.6</td></tr><tr><td>[EMPTY_CELL]</td><td>36</td><td>55.4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>40</td><td>61.5</td></tr><tr><td>[EMPTY_CELL]</td><td>25</td><td>38.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>38</td><td>58.5</td></tr><tr><td>[EMPTY_CELL]</td><td>27</td><td>41.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>25</td><td>38.5</td></tr><tr><td>[EMPTY_CELL]</td><td>40</td><td>61.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>12</td><td>18.5</td></tr><tr><td>[EMPTY_CELL]</td><td>53</td><td>81.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>57</td><td>87.7</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>9.2</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>3.1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>34</td><td>52.3</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>15.4</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>6.2</td></tr><tr><td>[EMPTY_CELL]</td><td>16</td><td>24.6</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>1.5</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [2, 5, 37, 15]}, {\"cell\": \"<b>Frequency</b>\", \"bbox\": [162, 4, 202, 15]}, {\"cell\": \"<b>Percent</b>\", \"bbox\": [212, 4, 241, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 18, 53, 29]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 32, 26, 42]}, {\"cell\": \"42\", \"bbox\": [177, 31, 187, 41]}, {\"cell\": \"64.6\", \"bbox\": [217, 31, 235, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 45, 25, 56]}, {\"cell\": \"23\", \"bbox\": [177, 44, 187, 55]}, {\"cell\": \"35.4\", \"bbox\": [218, 44, 234, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 58, 59, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 71, 26, 82]}, {\"cell\": \"29\", \"bbox\": [177, 71, 187, 81]}, {\"cell\": \"44.6\", \"bbox\": [217, 71, 235, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 85, 25, 95]}, {\"cell\": \"36\", \"bbox\": [177, 84, 187, 94]}, {\"cell\": \"55.4\", \"bbox\": [218, 84, 234, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 98, 41, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 111, 26, 122]}, {\"cell\": \"40\", \"bbox\": [176, 110, 187, 121]}, {\"cell\": \"61.5\", \"bbox\": [218, 110, 234, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 124, 25, 135]}, {\"cell\": \"25\", \"bbox\": [177, 124, 187, 134]}, {\"cell\": \"38.5\", \"bbox\": [218, 124, 234, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 138, 67, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 151, 26, 162]}, {\"cell\": \"38\", \"bbox\": [177, 150, 187, 161]}, {\"cell\": \"58.5\", \"bbox\": [218, 150, 234, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 164, 25, 175]}, {\"cell\": \"27\", \"bbox\": [177, 163, 187, 174]}, {\"cell\": \"41.5\", \"bbox\": [218, 163, 234, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 177, 59, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 191, 26, 201]}, {\"cell\": \"25\", \"bbox\": [177, 190, 187, 201]}, {\"cell\": \"38.5\", \"bbox\": [218, 190, 234, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 204, 25, 215]}, {\"cell\": \"40\", \"bbox\": [176, 203, 187, 214]}, {\"cell\": \"61.5\", \"bbox\": [218, 203, 234, 214]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 217, 91, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 230, 26, 241]}, {\"cell\": \"12\", \"bbox\": [177, 230, 186, 240]}, {\"cell\": \"18.5\", \"bbox\": [218, 230, 234, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 244, 25, 254]}, {\"cell\": \"53\", \"bbox\": [177, 243, 187, 254]}, {\"cell\": \"81.5\", \"bbox\": [219, 243, 234, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 257, 84, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 270, 62, 281]}, {\"cell\": \"57\", \"bbox\": [177, 269, 187, 280]}, {\"cell\": \"87.7\", \"bbox\": [219, 269, 234, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 283, 66, 294]}, {\"cell\": \"6\", \"bbox\": [179, 283, 185, 293]}, {\"cell\": \"9.2\", \"bbox\": [220, 283, 232, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 297, 59, 307]}, {\"cell\": \"2\", \"bbox\": [179, 296, 185, 307]}, {\"cell\": \"3.1\", \"bbox\": [221, 296, 232, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 310, 141, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 322, 149, 354]}, {\"cell\": \"34\", \"bbox\": [177, 332, 187, 343]}, {\"cell\": \"52.3\", \"bbox\": [218, 332, 234, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 357, 153, 367]}, {\"cell\": \"10\", \"bbox\": [177, 356, 187, 366]}, {\"cell\": \"15.4\", \"bbox\": [218, 356, 234, 366]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 370, 152, 381]}, {\"cell\": \"4\", \"bbox\": [179, 369, 185, 380]}, {\"cell\": \"6.2\", \"bbox\": [220, 369, 233, 380]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 383, 62, 394]}, {\"cell\": \"16\", \"bbox\": [177, 382, 187, 393]}, {\"cell\": \"24.6\", \"bbox\": [218, 382, 235, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 396, 59, 407]}, {\"cell\": \"1\", \"bbox\": [179, 396, 184, 406]}, {\"cell\": \"1.5\", \"bbox\": [221, 396, 232, 406]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3874318_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}860{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b><i>Model Building</i></b></td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>70 kVp, 100 mA, 5 msec</td></tr><tr><td>[EMPTY_CELL]</td><td>40 sec</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>70 kVp, 100 mA, 5 msec</td></tr><tr><td>[EMPTY_CELL]</td><td>70 msec</td></tr><tr><td>[EMPTY_CELL]</td><td>70 msec</td></tr><tr><td>[EMPTY_CELL]</td><td>66 msec</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>5 msec</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>10 msec</td></tr><tr><td>[EMPTY_CELL]</td><td>5 msec</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Model Building</i></b>\", \"bbox\": [1, 7, 54, 16]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 16, 113, 25]}, {\"cell\": \"70 kVp, 100 mA, 5 msec\", \"bbox\": [301, 16, 386, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 25, 118, 34]}, {\"cell\": \"40 sec\", \"bbox\": [332, 25, 355, 34]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 133, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 47, 113, 56]}, {\"cell\": \"70 kVp, 100 mA, 5 msec\", \"bbox\": [301, 47, 386, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 56, 182, 65]}, {\"cell\": \"70 msec\", \"bbox\": [329, 56, 358, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 65, 160, 74]}, {\"cell\": \"70 msec\", \"bbox\": [329, 65, 358, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 74, 214, 83]}, {\"cell\": \"66 msec\", \"bbox\": [329, 74, 358, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 189, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 96, 188, 105]}, {\"cell\": \"5 msec\", \"bbox\": [331, 96, 356, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 109, 116, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 118, 224, 127]}, {\"cell\": \"10 msec\", \"bbox\": [329, 118, 358, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 127, 210, 136]}, {\"cell\": \"5 msec\", \"bbox\": [331, 127, 356, 136]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5714564_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}861{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>ORa</b></td><td><b>95% CI</b></td><td><b>P -value</b></td></tr></thead><tbody><tr><td><b>Body mass index</b></td><td>0,994</td><td>[EMPTY_CELL]</td><td>0,849</td></tr><tr><td><b>Physical activity</b></td><td>0,507</td><td>[EMPTY_CELL]</td><td>0,001</td></tr><tr><td><b>Early age at menarche (<12 years)</b></td><td>2,474</td><td>[EMPTY_CELL]</td><td>0,03</td></tr><tr><td><b>Oral contraceptive (>6 months)</b></td><td>1,716</td><td>[EMPTY_CELL]</td><td>0,005</td></tr><tr><td><b>Early childbearing (<30 years)</b></td><td>0,212</td><td>[EMPTY_CELL]</td><td>0,001</td></tr><tr><td><b>Multiparity</b></td><td>0,742</td><td>[EMPTY_CELL]</td><td><0,001</td></tr><tr><td><b>Lactation (>6 months)</b></td><td>0,737</td><td>[EMPTY_CELL]</td><td><0,001</td></tr><tr><td><b>Family history of breast First degree</b></td><td>11,556</td><td>[EMPTY_CELL]</td><td>0,002</td></tr><tr><td><b>Second degree</b></td><td>0,841</td><td>[EMPTY_CELL]</td><td>0,726</td></tr><tr><td><b>Exposure to irradiation</b></td><td>0,953</td><td>[EMPTY_CELL]</td><td>0,944</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 3, 40, 13]}, {\"cell\": \"<b>ORa</b>\", \"bbox\": [157, 2, 174, 13]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [235, 3, 269, 13]}, {\"cell\": \"<b>P -value</b>\", \"bbox\": [327, 3, 362, 13]}, {\"cell\": \"<b>Body mass index</b>\", \"bbox\": [1, 18, 70, 28]}, {\"cell\": \"0,994\", \"bbox\": [157, 18, 179, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 18, 278, 28]}, {\"cell\": \"0,849\", \"bbox\": [327, 18, 349, 28]}, {\"cell\": \"<b>Physical activity</b>\", \"bbox\": [1, 33, 68, 42]}, {\"cell\": \"0,507\", \"bbox\": [157, 33, 179, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 33, 280, 42]}, {\"cell\": \"0,001\", \"bbox\": [327, 33, 349, 42]}, {\"cell\": \"<b>Early age at menarche (<12 years)</b>\", \"bbox\": [1, 48, 143, 57]}, {\"cell\": \"2,474\", \"bbox\": [157, 48, 179, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 48, 282, 57]}, {\"cell\": \"0,03\", \"bbox\": [327, 48, 345, 57]}, {\"cell\": \"<b>Oral contraceptive (>6 months)</b>\", \"bbox\": [1, 63, 130, 73]}, {\"cell\": \"1,716\", \"bbox\": [157, 63, 179, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 63, 280, 73]}, {\"cell\": \"0,005\", \"bbox\": [327, 63, 349, 73]}, {\"cell\": \"<b>Early childbearing (<30 years)</b>\", \"bbox\": [1, 79, 125, 89]}, {\"cell\": \"0,212\", \"bbox\": [157, 79, 179, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 79, 280, 89]}, {\"cell\": \"0,001\", \"bbox\": [327, 79, 349, 89]}, {\"cell\": \"<b>Multiparity</b>\", \"bbox\": [1, 94, 47, 104]}, {\"cell\": \"0,742\", \"bbox\": [157, 94, 179, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 94, 280, 104]}, {\"cell\": \"<0,001\", \"bbox\": [327, 94, 355, 104]}, {\"cell\": \"<b>Lactation (>6 months)</b>\", \"bbox\": [1, 109, 94, 119]}, {\"cell\": \"0,737\", \"bbox\": [157, 109, 179, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 109, 280, 119]}, {\"cell\": \"<0,001\", \"bbox\": [327, 109, 355, 119]}, {\"cell\": \"<b>Family history of breast First degree</b>\", \"bbox\": [1, 124, 98, 148]}, {\"cell\": \"11,556\", \"bbox\": [157, 124, 184, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 124, 284, 134]}, {\"cell\": \"0,002\", \"bbox\": [327, 124, 349, 134]}, {\"cell\": \"<b>Second degree</b>\", \"bbox\": [1, 154, 62, 163]}, {\"cell\": \"0,841\", \"bbox\": [157, 154, 179, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 154, 280, 163]}, {\"cell\": \"0,726\", \"bbox\": [327, 154, 349, 163]}, {\"cell\": \"<b>Exposure to irradiation</b>\", \"bbox\": [1, 169, 95, 178]}, {\"cell\": \"0,953\", \"bbox\": [157, 169, 179, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [235, 169, 280, 178]}, {\"cell\": \"0,944\", \"bbox\": [327, 169, 349, 178]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4992386_009_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}862{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Classification</b></td><td><b>Label</b></td><td><b>Voxels at <i>p</i> < 0.001</b></td><td><b><i>p</i><sub>FWE</sub> cluster-corrected</b></td><td><b>Peak <i>z</i>-score</b></td><td><b>Peak voxel MNI coordinates</b></td><td><b>Laterality</b></td></tr></thead><tbody><tr><td rowspan=\\\"6\\\">Across-domain</td><td>Insula/IFG</td><td>592</td><td>[EMPTY_CELL]</td><td>4.31</td><td>−33, 23, 5</td><td>L</td></tr><tr><td>SFG and BA9</td><td>928</td><td><0.001</td><td>[EMPTY_CELL]</td><td>24, 53, 38</td><td>R</td></tr><tr><td>dACC/pre-SMA</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−12, 14, 41</td><td>L</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>12, 44, 23</td><td>R</td></tr><tr><td>Supramarginal gyrus, BA40</td><td>207</td><td>0.039</td><td>[EMPTY_CELL]</td><td>−51, −55, 29</td><td>L</td></tr><tr><td>IFG/insula/STG</td><td>275</td><td>0.016</td><td>[EMPTY_CELL]</td><td>48, 5, −13</td><td>R</td></tr><tr><td rowspan=\\\"3\\\">Within-perception</td><td>Superior, middle, medial, inferior FG, dACC, pre-SMA, BA8, BA10, BA32</td><td>4699</td><td>[EMPTY_CELL]</td><td>5.10</td><td>−12, 14, 59</td><td>L/R</td></tr><tr><td>Parietal cortex, precuneus, supramarginal gyrus, BA7, BA40</td><td>1141</td><td><0.001</td><td>[EMPTY_CELL]</td><td>51, −46, 44</td><td>R</td></tr><tr><td>Precuneus, BA40</td><td>339</td><td>0.010</td><td>[EMPTY_CELL]</td><td>−36, −46, 47</td><td>L</td></tr><tr><td rowspan=\\\"4\\\">Within-memory</td><td>Middle and superior FG, BA9, BA10</td><td>325</td><td>[EMPTY_CELL]</td><td>4.54</td><td>39, 41, 38</td><td>R</td></tr><tr><td>Lingual gyrus, cuneus, calcarine</td><td>510</td><td>0.001</td><td>[EMPTY_CELL]</td><td>9, −91, 2</td><td>R</td></tr><tr><td>Superior FG, dACC, pre-SMA</td><td>1066</td><td><0.001</td><td>[EMPTY_CELL]</td><td>6, −4, 62</td><td>L/R</td></tr><tr><td>Middle, inferior FG, BA9, BA10, BA45, BA46</td><td>1003</td><td><0.001</td><td>[EMPTY_CELL]</td><td>−42, 38, 2</td><td>L</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Classification</b>\", \"bbox\": [1, 12, 36, 22]}, {\"cell\": \"<b>Label</b>\", \"bbox\": [67, 12, 83, 22]}, {\"cell\": \"<b>Voxels at <i>p</i> < 0.001</b>\", \"bbox\": [269, 3, 299, 22]}, {\"cell\": \"<b><i>p</i><sub>FWE</sub> cluster-corrected</b>\", \"bbox\": [316, 5, 362, 22]}, {\"cell\": \"<b>Peak <i>z</i>-score</b>\", \"bbox\": [378, 3, 399, 22]}, {\"cell\": \"<b>Peak voxel MNI coordinates</b>\", \"bbox\": [416, 3, 460, 22]}, {\"cell\": \"<b>Laterality</b>\", \"bbox\": [477, 12, 504, 22]}, {\"cell\": \"Across-domain\", \"bbox\": [1, 28, 41, 38]}, {\"cell\": \"Insula/IFG\", \"bbox\": [67, 28, 96, 38]}, {\"cell\": \"592\", \"bbox\": [272, 28, 284, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 28, 340, 38]}, {\"cell\": \"4.31\", \"bbox\": [379, 28, 392, 38]}, {\"cell\": \"−33, 23, 5\", \"bbox\": [416, 28, 448, 38]}, {\"cell\": \"L\", \"bbox\": [477, 28, 482, 38]}, {\"cell\": \"SFG and BA9\", \"bbox\": [67, 38, 102, 48]}, {\"cell\": \"928\", \"bbox\": [272, 38, 284, 48]}, {\"cell\": \"<0.001\", \"bbox\": [316, 38, 340, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 38, 392, 48]}, {\"cell\": \"24, 53, 38\", \"bbox\": [423, 38, 451, 48]}, {\"cell\": \"R\", \"bbox\": [477, 38, 482, 48]}, {\"cell\": \"dACC/pre-SMA\", \"bbox\": [67, 48, 108, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 48, 392, 58]}, {\"cell\": \"−12, 14, 41\", \"bbox\": [416, 48, 451, 58]}, {\"cell\": \"L\", \"bbox\": [477, 48, 482, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 58, 392, 68]}, {\"cell\": \"12, 44, 23\", \"bbox\": [423, 58, 451, 68]}, {\"cell\": \"R\", \"bbox\": [477, 58, 482, 68]}, {\"cell\": \"Supramarginal gyrus, BA40\", \"bbox\": [67, 68, 140, 78]}, {\"cell\": \"207\", \"bbox\": [272, 68, 284, 78]}, {\"cell\": \"0.039\", \"bbox\": [323, 68, 340, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 68, 392, 78]}, {\"cell\": \"−51, −55, 29\", \"bbox\": [416, 68, 458, 78]}, {\"cell\": \"L\", \"bbox\": [477, 68, 482, 78]}, {\"cell\": \"IFG/insula/STG\", \"bbox\": [67, 78, 108, 88]}, {\"cell\": \"275\", \"bbox\": [272, 78, 284, 88]}, {\"cell\": \"0.016\", \"bbox\": [323, 78, 340, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 78, 392, 88]}, {\"cell\": \"48, 5, −13\", \"bbox\": [423, 78, 455, 88]}, {\"cell\": \"R\", \"bbox\": [477, 78, 482, 88]}, {\"cell\": \"Within-perception\", \"bbox\": [1, 88, 51, 98]}, {\"cell\": \"Superior, middle, medial, inferior FG, dACC, pre-SMA, BA8, BA10, BA32\", \"bbox\": [67, 88, 253, 98]}, {\"cell\": \"4699\", \"bbox\": [269, 88, 284, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [316, 88, 340, 98]}, {\"cell\": \"5.10\", \"bbox\": [379, 88, 392, 98]}, {\"cell\": \"−12, 14, 59\", \"bbox\": [416, 88, 451, 98]}, {\"cell\": \"L/R\", \"bbox\": [477, 88, 488, 98]}, {\"cell\": \"Parietal cortex, precuneus, supramarginal gyrus, BA7, BA40\", \"bbox\": [67, 98, 223, 108]}, {\"cell\": \"1141\", \"bbox\": [269, 98, 284, 108]}, {\"cell\": \"<0.001\", \"bbox\": [316, 98, 340, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 98, 392, 108]}, {\"cell\": \"51, −46, 44\", \"bbox\": [423, 98, 458, 108]}, {\"cell\": \"R\", \"bbox\": [477, 98, 482, 108]}, {\"cell\": \"Precuneus, BA40\", \"bbox\": [67, 108, 113, 118]}, {\"cell\": \"339\", \"bbox\": [272, 108, 284, 118]}, {\"cell\": \"0.010\", \"bbox\": [323, 108, 340, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 108, 392, 118]}, {\"cell\": \"−36, −46, 47\", \"bbox\": [416, 108, 458, 118]}, {\"cell\": \"L\", \"bbox\": [477, 108, 482, 118]}, {\"cell\": \"Within-memory\", \"bbox\": [1, 118, 45, 128]}, {\"cell\": \"Middle and superior FG, BA9, BA10\", \"bbox\": [67, 118, 160, 128]}, {\"cell\": \"325\", \"bbox\": [272, 118, 284, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 118, 340, 128]}, {\"cell\": \"4.54\", \"bbox\": [379, 118, 392, 128]}, {\"cell\": \"39, 41, 38\", \"bbox\": [423, 118, 451, 128]}, {\"cell\": \"R\", \"bbox\": [477, 118, 482, 128]}, {\"cell\": \"Lingual gyrus, cuneus, calcarine\", \"bbox\": [67, 128, 152, 138]}, {\"cell\": \"510\", \"bbox\": [272, 128, 284, 138]}, {\"cell\": \"0.001\", \"bbox\": [323, 128, 340, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 128, 392, 138]}, {\"cell\": \"9, −91, 2\", \"bbox\": [426, 128, 455, 138]}, {\"cell\": \"R\", \"bbox\": [477, 128, 482, 138]}, {\"cell\": \"Superior FG, dACC, pre-SMA\", \"bbox\": [67, 138, 142, 148]}, {\"cell\": \"1066\", \"bbox\": [269, 138, 284, 148]}, {\"cell\": \"<0.001\", \"bbox\": [316, 138, 340, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 138, 392, 148]}, {\"cell\": \"6, −4, 62\", \"bbox\": [426, 138, 455, 148]}, {\"cell\": \"L/R\", \"bbox\": [477, 138, 488, 148]}, {\"cell\": \"Middle, inferior FG, BA9, BA10, BA45, BA46\", \"bbox\": [67, 148, 181, 158]}, {\"cell\": \"1003\", \"bbox\": [269, 148, 284, 158]}, {\"cell\": \"<0.001\", \"bbox\": [316, 148, 340, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 148, 392, 158]}, {\"cell\": \"−42, 38, 2\", \"bbox\": [416, 148, 448, 158]}, {\"cell\": \"L\", \"bbox\": [477, 148, 482, 158]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5895040_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}863{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics of schizophrenia patients</b></td><td><b>Mean or frequency (SD or %)</b></td><td><b>Range</b></td><td><b>95% Confidence intervals (%)</b></td></tr></thead><tbody><tr><td>Male gender</td><td>[EMPTY_CELL]</td><td>-</td><td>57.4 to 81.5</td></tr><tr><td>Male age (years)</td><td>[EMPTY_CELL]</td><td>22 to 58</td><td>39.7 to 44.2</td></tr><tr><td>Female gender</td><td>[EMPTY_CELL]</td><td>-</td><td>18.5 to 42.6</td></tr><tr><td>Female age (years)</td><td>[EMPTY_CELL]</td><td>28 to 55</td><td>37.5 to 45.5</td></tr><tr><td>PANSS</td><td>[EMPTY_CELL]</td><td>31 to 68</td><td>47.3 to 51.5</td></tr><tr><td>Positive symptoms</td><td>[EMPTY_CELL]</td><td>2 to 20</td><td>7.0 to 9.0</td></tr><tr><td>Negative symptoms</td><td>[EMPTY_CELL]</td><td>1 to 27</td><td>8.2 to 12.0</td></tr><tr><td>General psychopathology</td><td>[EMPTY_CELL]</td><td>6 to 57</td><td>27.7 to 34.3</td></tr><tr><td>HDRS</td><td>[EMPTY_CELL]</td><td>4 to 24</td><td>11.1 to 13.9</td></tr><tr><td>GAF</td><td>[EMPTY_CELL]</td><td>45 to 98</td><td>75.2 to 81.5</td></tr><tr><td>QOL</td><td>[EMPTY_CELL]</td><td>46 to 98</td><td>73.2 to 79.1</td></tr><tr><td>Status of employment (>3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>27.6 to 53.5</td></tr><tr><td>Independent living (>3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>59.7 to 83.6</td></tr><tr><td>BG</td><td>[EMPTY_CELL]</td><td>78 to 128</td><td>95.1 to 101.7</td></tr><tr><td>WMS</td><td>[EMPTY_CELL]</td><td>68 to 117</td><td>87.1 to 93.4</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics of schizophrenia patients</b>\", \"bbox\": [4, 5, 163, 14]}, {\"cell\": \"<b>Mean or frequency (SD or %)</b>\", \"bbox\": [190, 5, 303, 14]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [324, 5, 350, 14]}, {\"cell\": \"<b>95% Confidence intervals (%)</b>\", \"bbox\": [370, 5, 482, 14]}, {\"cell\": \"Male gender\", \"bbox\": [4, 27, 47, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 27, 233, 36]}, {\"cell\": \"-\", \"bbox\": [324, 27, 329, 36]}, {\"cell\": \"57.4 to 81.5\", \"bbox\": [370, 27, 412, 36]}, {\"cell\": \"Male age (years)\", \"bbox\": [4, 37, 61, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 37, 224, 47]}, {\"cell\": \"22 to 58\", \"bbox\": [324, 37, 355, 47]}, {\"cell\": \"39.7 to 44.2\", \"bbox\": [370, 37, 412, 47]}, {\"cell\": \"Female gender\", \"bbox\": [4, 47, 55, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 47, 233, 57]}, {\"cell\": \"-\", \"bbox\": [324, 47, 329, 57]}, {\"cell\": \"18.5 to 42.6\", \"bbox\": [370, 47, 412, 57]}, {\"cell\": \"Female age (years)\", \"bbox\": [4, 57, 68, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 57, 224, 67]}, {\"cell\": \"28 to 55\", \"bbox\": [324, 57, 355, 67]}, {\"cell\": \"37.5 to 45.5\", \"bbox\": [370, 57, 412, 67]}, {\"cell\": \"PANSS\", \"bbox\": [4, 68, 30, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 68, 224, 77]}, {\"cell\": \"31 to 68\", \"bbox\": [324, 68, 355, 77]}, {\"cell\": \"47.3 to 51.5\", \"bbox\": [370, 68, 412, 77]}, {\"cell\": \"Positive symptoms\", \"bbox\": [4, 78, 69, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 78, 219, 88]}, {\"cell\": \"2 to 20\", \"bbox\": [324, 78, 350, 88]}, {\"cell\": \"7.0 to 9.0\", \"bbox\": [370, 78, 404, 88]}, {\"cell\": \"Negative symptoms\", \"bbox\": [4, 88, 72, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 88, 224, 98]}, {\"cell\": \"1 to 27\", \"bbox\": [324, 88, 350, 98]}, {\"cell\": \"8.2 to 12.0\", \"bbox\": [370, 88, 408, 98]}, {\"cell\": \"General psychopathology\", \"bbox\": [4, 98, 91, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 98, 228, 108]}, {\"cell\": \"6 to 57\", \"bbox\": [324, 98, 350, 108]}, {\"cell\": \"27.7 to 34.3\", \"bbox\": [370, 98, 412, 108]}, {\"cell\": \"HDRS\", \"bbox\": [4, 109, 27, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 109, 224, 118]}, {\"cell\": \"4 to 24\", \"bbox\": [324, 109, 350, 118]}, {\"cell\": \"11.1 to 13.9\", \"bbox\": [370, 109, 412, 118]}, {\"cell\": \"GAF\", \"bbox\": [4, 119, 22, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 119, 228, 129]}, {\"cell\": \"45 to 98\", \"bbox\": [324, 119, 354, 129]}, {\"cell\": \"75.2 to 81.5\", \"bbox\": [370, 119, 412, 129]}, {\"cell\": \"QOL\", \"bbox\": [4, 129, 24, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 129, 228, 139]}, {\"cell\": \"46 to 98\", \"bbox\": [324, 129, 354, 139]}, {\"cell\": \"73.2 to 79.1\", \"bbox\": [370, 129, 412, 139]}, {\"cell\": \"Status of employment (>3)\", \"bbox\": [4, 139, 96, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 139, 233, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27.6 to 53.5\", \"bbox\": [370, 139, 412, 149]}, {\"cell\": \"Independent living (>3)\", \"bbox\": [4, 150, 84, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 150, 233, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"59.7 to 83.6\", \"bbox\": [370, 150, 412, 159]}, {\"cell\": \"BG\", \"bbox\": [4, 160, 17, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 160, 228, 170]}, {\"cell\": \"78 to 128\", \"bbox\": [324, 160, 359, 170]}, {\"cell\": \"95.1 to 101.7\", \"bbox\": [370, 160, 416, 170]}, {\"cell\": \"WMS\", \"bbox\": [4, 170, 25, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [190, 170, 228, 180]}, {\"cell\": \"68 to 117\", \"bbox\": [324, 170, 359, 180]}, {\"cell\": \"87.1 to 93.4\", \"bbox\": [370, 170, 412, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2770563_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}864{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\"><b><i>n</i></b></td><td rowspan=\\\"2\\\"><b>Events</b></td><td colspan=\\\"2\\\"><b>Model 1<sup>a</sup></b></td><td colspan=\\\"2\\\"><b>Model 2<sup>b</sup></b></td><td colspan=\\\"2\\\"><b>Model 3<sup>c</sup></b></td><td rowspan=\\\"2\\\"><b><i>p</i> for trend</b></td></tr><tr><td><b>HR (95% CI)</b></td><td><b><i>p</i> value</b></td><td><b>HR (95% CI)</b></td><td><b><i>p</i> value</b></td><td><b>HR (95% CI)</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td colspan=\\\"10\\\">Time to first recurrence</td></tr><tr><td colspan=\\\"10\\\"> Total fruit + vegetables</td></tr><tr><td>T1</td><td>138</td><td>54</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.06</td></tr><tr><td>T2</td><td>136</td><td>55</td><td>1.00 (0.69–1.46)</td><td>1.00</td><td>0.99 (0.68–1.44)</td><td>0.94</td><td>[EMPTY_CELL]</td><td>0.72</td><td>[EMPTY_CELL]</td></tr><tr><td>T3</td><td>115</td><td>35</td><td>0.68 (0.45–1.04)</td><td>0.08</td><td>0.70 (0.46–1.07)</td><td>0.10</td><td>[EMPTY_CELL]</td><td>0.06</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"10\\\"> Total vegetables</td></tr><tr><td>T1</td><td>133</td><td>51</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.23</td></tr><tr><td>T2</td><td>144</td><td>54</td><td>0.93 (0.64–1.36)</td><td>0.72</td><td>0.94 (0.64–1.38)</td><td>0.75</td><td>[EMPTY_CELL]</td><td>0.40</td><td>[EMPTY_CELL]</td></tr><tr><td>T3</td><td>112</td><td>39</td><td>0.83 (0.55–1.25)</td><td>0.37</td><td>0.86 (0.56–1.31)</td><td>0.48</td><td>[EMPTY_CELL]</td><td>0.23</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"10\\\"> Total fruit</td></tr><tr><td>T1</td><td>151</td><td>62</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.05</td></tr><tr><td>T2</td><td>103</td><td>41</td><td>0.93 (0.63–1.39)</td><td>0.74</td><td>0.93 (0.62–1.38)</td><td>0.70</td><td>[EMPTY_CELL]</td><td>0.83</td><td>[EMPTY_CELL]</td></tr><tr><td>T3</td><td>135</td><td>41</td><td>0.67 (0.45–0.99)</td><td>0.04</td><td>0.67 (0.45–0.99)</td><td>0.04</td><td>[EMPTY_CELL]</td><td>0.05</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"10\\\">Time to multiple recurrences</td></tr><tr><td colspan=\\\"10\\\"> Total fruit + vegetables</td></tr><tr><td>T1</td><td>138</td><td>89</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.96</td></tr><tr><td>T2</td><td>136</td><td>82</td><td>0.94 (0.82–1.08)</td><td>0.41</td><td>0.96 (0.84–1.10)</td><td>0.57</td><td>[EMPTY_CELL]</td><td>0.79</td><td>[EMPTY_CELL]</td></tr><tr><td>T3</td><td>115</td><td>50</td><td>0.96 (0.80–1.15)</td><td>0.66</td><td>0.97 (0.81–1.17)</td><td>0.77</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"10\\\"> Total vegetables</td></tr><tr><td>T1</td><td>133</td><td>77</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.58</td></tr><tr><td>T2</td><td>144</td><td>91</td><td>0.96 (0.84–1.10)</td><td>0.55</td><td>0.97 (0.84–1.11)</td><td>0.66</td><td>[EMPTY_CELL]</td><td>0.63</td><td>[EMPTY_CELL]</td></tr><tr><td>T3</td><td>112</td><td>53</td><td>0.94 (0.79–1.11)</td><td>0.44</td><td>0.95 (0.80–1.12)</td><td>0.53</td><td>[EMPTY_CELL]</td><td>0.61</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"10\\\"> Total fruit</td></tr><tr><td>T1</td><td>151</td><td>99</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>1.00 (1.00–1.00)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.96</td></tr><tr><td>T2</td><td>103</td><td>66</td><td>0.91 (0.80–1.04)</td><td>0.18</td><td>0.93 (0.81–1.06)</td><td>0.25</td><td>[EMPTY_CELL]</td><td>0.28</td><td>[EMPTY_CELL]</td></tr><tr><td>T3</td><td>135</td><td>56</td><td>0.98 (0.83–1.16)</td><td>0.79</td><td>0.99 (0.84–1.18)</td><td>0.93</td><td>[EMPTY_CELL]</td><td>0.79</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [38, 7, 44, 14]}, {\"cell\": \"<b>Events</b>\", \"bbox\": [68, 4, 93, 14]}, {\"cell\": \"<b>Model 1<sup>a</sup></b>\", \"bbox\": [108, 3, 141, 14]}, {\"cell\": \"<b>Model 2<sup>b</sup></b>\", \"bbox\": [223, 3, 257, 14]}, {\"cell\": \"<b>Model 3<sup>c</sup></b>\", \"bbox\": [339, 3, 372, 14]}, {\"cell\": \"<b><i>p</i> for trend</b>\", \"bbox\": [454, 4, 491, 14]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [108, 21, 155, 31]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [182, 21, 208, 31]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [223, 21, 270, 31]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [297, 21, 324, 31]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [339, 21, 386, 31]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [412, 21, 439, 31]}, {\"cell\": \"Time to first recurrence\", \"bbox\": [1, 39, 83, 49]}, {\"cell\": \" Total fruit + vegetables\", \"bbox\": [6, 51, 86, 61]}, {\"cell\": \"T1\", \"bbox\": [12, 64, 23, 74]}, {\"cell\": \"138\", \"bbox\": [38, 64, 53, 74]}, {\"cell\": \"54\", \"bbox\": [68, 64, 78, 74]}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [109, 64, 167, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [224, 64, 283, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 64, 398, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.06\", \"bbox\": [454, 64, 471, 74]}, {\"cell\": \"T2\", \"bbox\": [12, 76, 23, 86]}, {\"cell\": \"136\", \"bbox\": [38, 76, 53, 86]}, {\"cell\": \"55\", \"bbox\": [68, 76, 78, 86]}, {\"cell\": \"1.00 (0.69–1.46)\", \"bbox\": [109, 76, 167, 86]}, {\"cell\": \"1.00\", \"bbox\": [182, 76, 199, 86]}, {\"cell\": \"0.99 (0.68–1.44)\", \"bbox\": [224, 76, 283, 86]}, {\"cell\": \"0.94\", \"bbox\": [297, 76, 314, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 76, 398, 86]}, {\"cell\": \"0.72\", \"bbox\": [412, 76, 429, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T3\", \"bbox\": [12, 89, 23, 99]}, {\"cell\": \"115\", \"bbox\": [38, 89, 53, 99]}, {\"cell\": \"35\", \"bbox\": [68, 89, 78, 99]}, {\"cell\": \"0.68 (0.45–1.04)\", \"bbox\": [109, 89, 167, 99]}, {\"cell\": \"0.08\", \"bbox\": [182, 89, 199, 99]}, {\"cell\": \"0.70 (0.46–1.07)\", \"bbox\": [224, 89, 283, 99]}, {\"cell\": \"0.10\", \"bbox\": [297, 89, 314, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 89, 398, 99]}, {\"cell\": \"0.06\", \"bbox\": [412, 89, 429, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Total vegetables\", \"bbox\": [6, 101, 63, 111]}, {\"cell\": \"T1\", \"bbox\": [12, 114, 23, 124]}, {\"cell\": \"133\", \"bbox\": [38, 114, 53, 124]}, {\"cell\": \"51\", \"bbox\": [68, 114, 78, 124]}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [109, 114, 167, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [224, 114, 283, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 114, 398, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.23\", \"bbox\": [454, 114, 471, 124]}, {\"cell\": \"T2\", \"bbox\": [12, 126, 23, 136]}, {\"cell\": \"144\", \"bbox\": [38, 126, 53, 136]}, {\"cell\": \"54\", \"bbox\": [68, 126, 79, 136]}, {\"cell\": \"0.93 (0.64–1.36)\", \"bbox\": [109, 126, 167, 136]}, {\"cell\": \"0.72\", \"bbox\": [182, 126, 199, 136]}, {\"cell\": \"0.94 (0.64–1.38)\", \"bbox\": [224, 126, 283, 136]}, {\"cell\": \"0.75\", \"bbox\": [297, 126, 314, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 126, 398, 136]}, {\"cell\": \"0.40\", \"bbox\": [412, 126, 429, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T3\", \"bbox\": [12, 139, 23, 149]}, {\"cell\": \"112\", \"bbox\": [38, 139, 53, 149]}, {\"cell\": \"39\", \"bbox\": [68, 139, 79, 149]}, {\"cell\": \"0.83 (0.55–1.25)\", \"bbox\": [109, 139, 167, 149]}, {\"cell\": \"0.37\", \"bbox\": [182, 139, 199, 149]}, {\"cell\": \"0.86 (0.56–1.31)\", \"bbox\": [224, 139, 283, 149]}, {\"cell\": \"0.48\", \"bbox\": [297, 139, 314, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 139, 398, 149]}, {\"cell\": \"0.23\", \"bbox\": [412, 139, 429, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Total fruit\", \"bbox\": [6, 151, 42, 161]}, {\"cell\": \"T1\", \"bbox\": [12, 164, 23, 174]}, {\"cell\": \"151\", \"bbox\": [38, 164, 53, 174]}, {\"cell\": \"62\", \"bbox\": [68, 164, 79, 174]}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [109, 164, 167, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [224, 164, 283, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 164, 398, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.05\", \"bbox\": [454, 164, 471, 174]}, {\"cell\": \"T2\", \"bbox\": [12, 176, 23, 186]}, {\"cell\": \"103\", \"bbox\": [38, 176, 53, 186]}, {\"cell\": \"41\", \"bbox\": [68, 176, 79, 186]}, {\"cell\": \"0.93 (0.63–1.39)\", \"bbox\": [109, 176, 167, 186]}, {\"cell\": \"0.74\", \"bbox\": [182, 176, 199, 186]}, {\"cell\": \"0.93 (0.62–1.38)\", \"bbox\": [224, 176, 283, 186]}, {\"cell\": \"0.70\", \"bbox\": [297, 176, 314, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 176, 398, 186]}, {\"cell\": \"0.83\", \"bbox\": [412, 176, 429, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T3\", \"bbox\": [12, 189, 23, 199]}, {\"cell\": \"135\", \"bbox\": [38, 189, 53, 199]}, {\"cell\": \"41\", \"bbox\": [68, 189, 79, 199]}, {\"cell\": \"0.67 (0.45–0.99)\", \"bbox\": [109, 189, 167, 199]}, {\"cell\": \"0.04\", \"bbox\": [182, 189, 199, 199]}, {\"cell\": \"0.67 (0.45–0.99)\", \"bbox\": [224, 189, 283, 199]}, {\"cell\": \"0.04\", \"bbox\": [297, 189, 314, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 189, 398, 199]}, {\"cell\": \"0.05\", \"bbox\": [412, 189, 429, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Time to multiple recurrences\", \"bbox\": [1, 201, 101, 211]}, {\"cell\": \" Total fruit + vegetables\", \"bbox\": [6, 214, 86, 224]}, {\"cell\": \"T1\", \"bbox\": [12, 226, 23, 236]}, {\"cell\": \"138\", \"bbox\": [38, 226, 53, 236]}, {\"cell\": \"89\", \"bbox\": [68, 226, 79, 236]}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [109, 226, 167, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [224, 226, 283, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 226, 398, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.96\", \"bbox\": [454, 226, 471, 236]}, {\"cell\": \"T2\", \"bbox\": [12, 239, 23, 248]}, {\"cell\": \"136\", \"bbox\": [38, 239, 53, 248]}, {\"cell\": \"82\", \"bbox\": [68, 239, 79, 248]}, {\"cell\": \"0.94 (0.82–1.08)\", \"bbox\": [109, 239, 167, 248]}, {\"cell\": \"0.41\", \"bbox\": [182, 239, 199, 248]}, {\"cell\": \"0.96 (0.84–1.10)\", \"bbox\": [224, 239, 283, 248]}, {\"cell\": \"0.57\", \"bbox\": [297, 239, 314, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 239, 398, 248]}, {\"cell\": \"0.79\", \"bbox\": [412, 239, 429, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T3\", \"bbox\": [12, 251, 23, 261]}, {\"cell\": \"115\", \"bbox\": [38, 251, 53, 261]}, {\"cell\": \"50\", \"bbox\": [68, 251, 79, 261]}, {\"cell\": \"0.96 (0.80–1.15)\", \"bbox\": [109, 251, 167, 261]}, {\"cell\": \"0.66\", \"bbox\": [182, 251, 199, 261]}, {\"cell\": \"0.97 (0.81–1.17)\", \"bbox\": [224, 251, 283, 261]}, {\"cell\": \"0.77\", \"bbox\": [297, 251, 314, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 251, 398, 261]}, {\"cell\": \"1.00\", \"bbox\": [412, 251, 429, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Total vegetables\", \"bbox\": [6, 264, 63, 273]}, {\"cell\": \"T1\", \"bbox\": [12, 276, 23, 286]}, {\"cell\": \"133\", \"bbox\": [38, 276, 53, 286]}, {\"cell\": \"77\", \"bbox\": [68, 276, 79, 286]}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [109, 276, 167, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [224, 276, 283, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 276, 398, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.58\", \"bbox\": [454, 276, 471, 286]}, {\"cell\": \"T2\", \"bbox\": [12, 289, 23, 298]}, {\"cell\": \"144\", \"bbox\": [38, 289, 53, 298]}, {\"cell\": \"91\", \"bbox\": [68, 289, 79, 298]}, {\"cell\": \"0.96 (0.84–1.10)\", \"bbox\": [109, 289, 167, 298]}, {\"cell\": \"0.55\", \"bbox\": [182, 289, 199, 298]}, {\"cell\": \"0.97 (0.84–1.11)\", \"bbox\": [224, 289, 283, 298]}, {\"cell\": \"0.66\", \"bbox\": [297, 289, 314, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 289, 398, 298]}, {\"cell\": \"0.63\", \"bbox\": [412, 289, 429, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T3\", \"bbox\": [12, 301, 23, 311]}, {\"cell\": \"112\", \"bbox\": [38, 301, 53, 311]}, {\"cell\": \"53\", \"bbox\": [68, 301, 79, 311]}, {\"cell\": \"0.94 (0.79–1.11)\", \"bbox\": [109, 301, 167, 311]}, {\"cell\": \"0.44\", \"bbox\": [182, 301, 199, 311]}, {\"cell\": \"0.95 (0.80–1.12)\", \"bbox\": [224, 301, 283, 311]}, {\"cell\": \"0.53\", \"bbox\": [297, 301, 314, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 301, 398, 311]}, {\"cell\": \"0.61\", \"bbox\": [412, 301, 429, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Total fruit\", \"bbox\": [6, 313, 42, 323]}, {\"cell\": \"T1\", \"bbox\": [12, 326, 23, 336]}, {\"cell\": \"151\", \"bbox\": [38, 326, 53, 336]}, {\"cell\": \"99\", \"bbox\": [68, 326, 79, 336]}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [109, 326, 167, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00 (1.00–1.00)\", \"bbox\": [224, 326, 283, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 326, 398, 336]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.96\", \"bbox\": [454, 326, 471, 336]}, {\"cell\": \"T2\", \"bbox\": [12, 338, 23, 348]}, {\"cell\": \"103\", \"bbox\": [38, 338, 53, 348]}, {\"cell\": \"66\", \"bbox\": [68, 338, 79, 348]}, {\"cell\": \"0.91 (0.80–1.04)\", \"bbox\": [109, 338, 167, 348]}, {\"cell\": \"0.18\", \"bbox\": [182, 338, 199, 348]}, {\"cell\": \"0.93 (0.81–1.06)\", \"bbox\": [224, 338, 283, 348]}, {\"cell\": \"0.25\", \"bbox\": [297, 338, 314, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 338, 398, 348]}, {\"cell\": \"0.28\", \"bbox\": [412, 338, 429, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T3\", \"bbox\": [12, 351, 23, 361]}, {\"cell\": \"135\", \"bbox\": [38, 351, 53, 361]}, {\"cell\": \"56\", \"bbox\": [68, 351, 79, 361]}, {\"cell\": \"0.98 (0.83–1.16)\", \"bbox\": [109, 351, 167, 361]}, {\"cell\": \"0.79\", \"bbox\": [182, 351, 199, 361]}, {\"cell\": \"0.99 (0.84–1.18)\", \"bbox\": [224, 351, 283, 361]}, {\"cell\": \"0.93\", \"bbox\": [297, 351, 314, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [339, 351, 398, 361]}, {\"cell\": \"0.79\", \"bbox\": [412, 351, 429, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5938309_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}865{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Phenotypes/Not4 derivatives</b></td><td><b>1–587</b></td><td><b>1–430</b></td><td><b>1–180</b></td><td><b>78–587</b></td><td><b>164A</b></td><td><b>L35A</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>2.5</td><td>3.5</td><td>4.6</td><td>5</td><td>3.1</td><td>nd</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>Yes</td><td>No</td><td>No</td><td>Yes</td><td>Yes</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>No</td><td>No</td><td>No</td><td>Yes</td><td>nd</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>nd</td><td>nd</td><td>nd</td><td>nd</td><td>No</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>nd</td><td>nd</td><td>nd</td><td>Yes</td><td>Yes</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>ss</td><td>sl</td><td>sl</td><td>ss</td><td>nd</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>No</td><td>Yes</td><td>Yes</td><td>Yes</td><td>nd</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>Yes</td><td>nd</td><td>Yes</td><td>No</td><td>nd</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>Yes</td><td>nd</td><td>Yes</td><td>No</td><td>nd</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>Yes</td><td>Yes</td><td>No</td><td>No</td><td>nd</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>nd</td><td>nd</td><td>nd</td><td>nd</td><td>Yes</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>Weak</td><td>nd</td><td>Yes</td><td>Yes</td><td>nd</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Phenotypes/Not4 derivatives</b>\", \"bbox\": [2, 4, 108, 15]}, {\"cell\": \"<b>1–587</b>\", \"bbox\": [195, 4, 217, 15]}, {\"cell\": \"<b>1–430</b>\", \"bbox\": [251, 4, 273, 15]}, {\"cell\": \"<b>1–180</b>\", \"bbox\": [307, 4, 328, 15]}, {\"cell\": \"<b>78–587</b>\", \"bbox\": [362, 4, 389, 15]}, {\"cell\": \"<b>164A</b>\", \"bbox\": [423, 4, 444, 15]}, {\"cell\": \"<b>L35A</b>\", \"bbox\": [478, 4, 499, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 13, 164, 27]}, {\"cell\": \"2.5\", \"bbox\": [200, 17, 212, 27]}, {\"cell\": \"3.5\", \"bbox\": [256, 17, 268, 27]}, {\"cell\": \"4.6\", \"bbox\": [311, 17, 324, 27]}, {\"cell\": \"5\", \"bbox\": [373, 17, 379, 27]}, {\"cell\": \"3.1\", \"bbox\": [428, 17, 439, 27]}, {\"cell\": \"nd\", \"bbox\": [482, 17, 494, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 25, 79, 40]}, {\"cell\": \"Yes\", \"bbox\": [199, 29, 213, 40]}, {\"cell\": \"Yes\", \"bbox\": [255, 29, 269, 40]}, {\"cell\": \"No\", \"bbox\": [311, 29, 324, 40]}, {\"cell\": \"No\", \"bbox\": [369, 29, 382, 40]}, {\"cell\": \"Yes\", \"bbox\": [427, 29, 440, 40]}, {\"cell\": \"Yes\", \"bbox\": [481, 29, 495, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 38, 67, 52]}, {\"cell\": \"Yes\", \"bbox\": [199, 42, 213, 52]}, {\"cell\": \"No\", \"bbox\": [255, 42, 268, 52]}, {\"cell\": \"No\", \"bbox\": [311, 42, 324, 52]}, {\"cell\": \"No\", \"bbox\": [369, 42, 382, 52]}, {\"cell\": \"Yes\", \"bbox\": [427, 42, 440, 52]}, {\"cell\": \"nd\", \"bbox\": [482, 42, 494, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 52, 88, 65]}, {\"cell\": \"Yes\", \"bbox\": [199, 54, 213, 65]}, {\"cell\": \"nd\", \"bbox\": [256, 54, 268, 65]}, {\"cell\": \"nd\", \"bbox\": [312, 54, 323, 65]}, {\"cell\": \"nd\", \"bbox\": [370, 54, 381, 65]}, {\"cell\": \"nd\", \"bbox\": [428, 54, 439, 65]}, {\"cell\": \"No\", \"bbox\": [482, 54, 495, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 65, 95, 77]}, {\"cell\": \"No\", \"bbox\": [199, 67, 212, 77]}, {\"cell\": \"nd\", \"bbox\": [256, 67, 268, 77]}, {\"cell\": \"nd\", \"bbox\": [312, 67, 323, 77]}, {\"cell\": \"nd\", \"bbox\": [370, 67, 381, 77]}, {\"cell\": \"Yes\", \"bbox\": [427, 67, 440, 77]}, {\"cell\": \"Yes\", \"bbox\": [481, 67, 495, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 75, 120, 90]}, {\"cell\": \"No\", \"bbox\": [199, 79, 212, 90]}, {\"cell\": \"ss\", \"bbox\": [257, 79, 266, 90]}, {\"cell\": \"sl\", \"bbox\": [314, 79, 321, 90]}, {\"cell\": \"sl\", \"bbox\": [372, 79, 379, 90]}, {\"cell\": \"ss\", \"bbox\": [429, 79, 438, 90]}, {\"cell\": \"nd\", \"bbox\": [482, 79, 494, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 87, 96, 102]}, {\"cell\": \"No\", \"bbox\": [199, 91, 212, 102]}, {\"cell\": \"No\", \"bbox\": [255, 91, 268, 102]}, {\"cell\": \"Yes\", \"bbox\": [311, 91, 324, 102]}, {\"cell\": \"Yes\", \"bbox\": [369, 91, 382, 102]}, {\"cell\": \"Yes\", \"bbox\": [427, 91, 440, 102]}, {\"cell\": \"nd\", \"bbox\": [482, 91, 494, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 100, 51, 115]}, {\"cell\": \"No\", \"bbox\": [199, 104, 212, 115]}, {\"cell\": \"Yes\", \"bbox\": [255, 104, 269, 115]}, {\"cell\": \"nd\", \"bbox\": [312, 104, 323, 115]}, {\"cell\": \"Yes\", \"bbox\": [369, 104, 382, 115]}, {\"cell\": \"No\", \"bbox\": [427, 104, 440, 115]}, {\"cell\": \"nd\", \"bbox\": [482, 104, 494, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 112, 80, 127]}, {\"cell\": \"No\", \"bbox\": [199, 116, 212, 127]}, {\"cell\": \"Yes\", \"bbox\": [255, 116, 269, 127]}, {\"cell\": \"nd\", \"bbox\": [312, 116, 323, 127]}, {\"cell\": \"Yes\", \"bbox\": [369, 116, 382, 127]}, {\"cell\": \"No\", \"bbox\": [427, 116, 440, 127]}, {\"cell\": \"nd\", \"bbox\": [482, 116, 494, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 125, 96, 139]}, {\"cell\": \"Yes\", \"bbox\": [199, 129, 213, 139]}, {\"cell\": \"Yes\", \"bbox\": [255, 129, 269, 139]}, {\"cell\": \"Yes\", \"bbox\": [311, 129, 324, 139]}, {\"cell\": \"No\", \"bbox\": [369, 129, 382, 139]}, {\"cell\": \"No\", \"bbox\": [427, 129, 440, 139]}, {\"cell\": \"nd\", \"bbox\": [482, 129, 494, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 139, 164, 152]}, {\"cell\": \"Yes\", \"bbox\": [199, 141, 213, 152]}, {\"cell\": \"nd\", \"bbox\": [256, 141, 268, 152]}, {\"cell\": \"nd\", \"bbox\": [312, 141, 323, 152]}, {\"cell\": \"nd\", \"bbox\": [370, 141, 381, 152]}, {\"cell\": \"nd\", \"bbox\": [428, 141, 439, 152]}, {\"cell\": \"Yes\", \"bbox\": [481, 141, 495, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 150, 81, 164]}, {\"cell\": \"Yes\", \"bbox\": [199, 154, 213, 164]}, {\"cell\": \"Weak\", \"bbox\": [251, 154, 273, 164]}, {\"cell\": \"nd\", \"bbox\": [312, 154, 323, 164]}, {\"cell\": \"Yes\", \"bbox\": [369, 154, 382, 164]}, {\"cell\": \"Yes\", \"bbox\": [427, 154, 440, 164]}, {\"cell\": \"nd\", \"bbox\": [482, 154, 494, 164]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4890865_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}866{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Year</b></td><td><b>Total no. of blood films examined</b></td><td><b>Total no. of malaria cases (%)</b></td><td><b><i>P. falciparum</i> cases (%)</b></td><td><b><i>P. vivax</i> cases (%)</b></td><td><b>Mixed (%)</b></td></tr></thead><tbody><tr><td>1997</td><td>380</td><td>180 (47.4)</td><td>124 (32.6)</td><td>48 (12.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>1998</td><td>695</td><td>326 (46.9)</td><td>267 (38.4)</td><td>55 (7.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>1999</td><td>626</td><td>299 (47.8)</td><td>231 (36.9)</td><td>62 (9.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>2000</td><td>230</td><td>105 (45.6)</td><td>77 (33.3)</td><td>28 (12.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>2001</td><td>811</td><td>418 (51.5)</td><td>319 (39.3)</td><td>93 (11.5)</td><td>[EMPTY_CELL]</td></tr><tr><td>2002</td><td>1495</td><td>665 (44.5)</td><td>520 (34.8)</td><td>135 (9.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>2003</td><td>1272</td><td>563 (44.3)</td><td>432 (34)</td><td>117 (9.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>2004</td><td>618</td><td>260 (42)</td><td>184 (29.8)</td><td>70 (11.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>2005</td><td>2592</td><td>980 (37.8)</td><td>728 (28.1)</td><td>251 (9.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>2006</td><td>1665</td><td>636 (38.2)</td><td>463 (27.8)</td><td>160 (9.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>2007</td><td>914</td><td>314 (34.4)</td><td>211 (23.1)</td><td>101 (11.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>2008</td><td>979</td><td>319 (32.6)</td><td>234 (23.9)</td><td>85 (8.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>2009</td><td>369</td><td>98 (26.6)</td><td>51 (13.8)</td><td>47 (12.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>2010</td><td>743</td><td>222 (29.9)</td><td>122 (16.4)</td><td>96 (12.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>2011</td><td>1458</td><td>424 (29.1)</td><td>286 (19.6)</td><td>136 (9.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>2012</td><td>2155</td><td>640 (29.7)</td><td>356 (16.5)</td><td>254 (11.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>2013</td><td>3481</td><td>943 (27.1)</td><td>484 (13.9)</td><td>390 (11.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Total</td><td>20,483</td><td>7392 (36.1%)</td><td>5089 (24.8)</td><td>2128 (10.4)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Year</b>\", \"bbox\": [1, 4, 17, 13]}, {\"cell\": \"<b>Total no. of blood films examined</b>\", \"bbox\": [60, 4, 141, 22]}, {\"cell\": \"<b>Total no. of malaria cases (%)</b>\", \"bbox\": [168, 4, 269, 13]}, {\"cell\": \"<b><i>P. falciparum</i> cases (%)</b>\", \"bbox\": [281, 4, 359, 14]}, {\"cell\": \"<b><i>P. vivax</i> cases (%)</b>\", \"bbox\": [371, 4, 431, 14]}, {\"cell\": \"<b>Mixed (%)</b>\", \"bbox\": [447, 4, 483, 13]}, {\"cell\": \"1997\", \"bbox\": [1, 31, 18, 40]}, {\"cell\": \"380\", \"bbox\": [68, 31, 82, 40]}, {\"cell\": \"180 (47.4)\", \"bbox\": [172, 31, 205, 40]}, {\"cell\": \"124 (32.6)\", \"bbox\": [285, 31, 318, 40]}, {\"cell\": \"48 (12.6)\", \"bbox\": [380, 31, 408, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 31, 476, 40]}, {\"cell\": \"1998\", \"bbox\": [1, 43, 18, 52]}, {\"cell\": \"695\", \"bbox\": [68, 43, 82, 52]}, {\"cell\": \"326 (46.9)\", \"bbox\": [172, 43, 205, 52]}, {\"cell\": \"267 (38.4)\", \"bbox\": [285, 43, 318, 52]}, {\"cell\": \"55 (7.9)\", \"bbox\": [380, 43, 405, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 43, 476, 52]}, {\"cell\": \"1999\", \"bbox\": [1, 56, 18, 64]}, {\"cell\": \"626\", \"bbox\": [68, 56, 82, 64]}, {\"cell\": \"299 (47.8)\", \"bbox\": [172, 56, 205, 64]}, {\"cell\": \"231 (36.9)\", \"bbox\": [285, 56, 318, 64]}, {\"cell\": \"62 (9.9)\", \"bbox\": [380, 56, 405, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 56, 471, 64]}, {\"cell\": \"2000\", \"bbox\": [1, 68, 18, 76]}, {\"cell\": \"230\", \"bbox\": [68, 68, 82, 76]}, {\"cell\": \"105 (45.6)\", \"bbox\": [172, 68, 205, 76]}, {\"cell\": \"77 (33.3)\", \"bbox\": [289, 68, 318, 76]}, {\"cell\": \"28 (12.1)\", \"bbox\": [380, 68, 408, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 68, 476, 76]}, {\"cell\": \"2001\", \"bbox\": [1, 80, 18, 88]}, {\"cell\": \"811\", \"bbox\": [68, 80, 82, 88]}, {\"cell\": \"418 (51.5)\", \"bbox\": [172, 80, 205, 88]}, {\"cell\": \"319 (39.3)\", \"bbox\": [285, 80, 318, 88]}, {\"cell\": \"93 (11.5)\", \"bbox\": [380, 80, 408, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 80, 476, 88]}, {\"cell\": \"2002\", \"bbox\": [1, 92, 18, 101]}, {\"cell\": \"1495\", \"bbox\": [64, 92, 82, 101]}, {\"cell\": \"665 (44.5)\", \"bbox\": [172, 92, 205, 101]}, {\"cell\": \"520 (34.8)\", \"bbox\": [285, 92, 318, 101]}, {\"cell\": \"135 (9.0)\", \"bbox\": [376, 92, 405, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 92, 476, 101]}, {\"cell\": \"2003\", \"bbox\": [1, 104, 18, 113]}, {\"cell\": \"1272\", \"bbox\": [64, 104, 82, 113]}, {\"cell\": \"563 (44.3)\", \"bbox\": [172, 104, 205, 113]}, {\"cell\": \"432 (34)\", \"bbox\": [285, 104, 312, 113]}, {\"cell\": \"117 (9.2)\", \"bbox\": [376, 104, 405, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 104, 471, 113]}, {\"cell\": \"2004\", \"bbox\": [1, 116, 18, 125]}, {\"cell\": \"618\", \"bbox\": [68, 116, 82, 125]}, {\"cell\": \"260 (42)\", \"bbox\": [172, 116, 199, 125]}, {\"cell\": \"184 (29.8)\", \"bbox\": [285, 116, 318, 125]}, {\"cell\": \"70 (11.3)\", \"bbox\": [380, 116, 408, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 116, 476, 125]}, {\"cell\": \"2005\", \"bbox\": [1, 128, 18, 137]}, {\"cell\": \"2592\", \"bbox\": [64, 128, 82, 137]}, {\"cell\": \"980 (37.8)\", \"bbox\": [172, 128, 205, 137]}, {\"cell\": \"728 (28.1)\", \"bbox\": [285, 128, 318, 137]}, {\"cell\": \"251 (9.7)\", \"bbox\": [376, 128, 405, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 128, 471, 137]}, {\"cell\": \"2006\", \"bbox\": [1, 140, 18, 149]}, {\"cell\": \"1665\", \"bbox\": [64, 140, 82, 149]}, {\"cell\": \"636 (38.2)\", \"bbox\": [172, 140, 205, 149]}, {\"cell\": \"463 (27.8)\", \"bbox\": [285, 140, 318, 149]}, {\"cell\": \"160 (9.6)\", \"bbox\": [376, 140, 405, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 140, 476, 149]}, {\"cell\": \"2007\", \"bbox\": [1, 152, 18, 161]}, {\"cell\": \"914\", \"bbox\": [68, 152, 82, 161]}, {\"cell\": \"314 (34.4)\", \"bbox\": [172, 152, 205, 161]}, {\"cell\": \"211 (23.1)\", \"bbox\": [285, 152, 318, 161]}, {\"cell\": \"101 (11.1)\", \"bbox\": [376, 152, 408, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 152, 476, 161]}, {\"cell\": \"2008\", \"bbox\": [1, 164, 18, 173]}, {\"cell\": \"979\", \"bbox\": [68, 164, 82, 173]}, {\"cell\": \"319 (32.6)\", \"bbox\": [172, 164, 205, 173]}, {\"cell\": \"234 (23.9)\", \"bbox\": [285, 164, 318, 173]}, {\"cell\": \"85 (8.7)\", \"bbox\": [380, 164, 405, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 164, 471, 173]}, {\"cell\": \"2009\", \"bbox\": [1, 177, 18, 185]}, {\"cell\": \"369\", \"bbox\": [68, 177, 82, 185]}, {\"cell\": \"98 (26.6)\", \"bbox\": [176, 177, 205, 185]}, {\"cell\": \"51 (13.8)\", \"bbox\": [289, 177, 318, 185]}, {\"cell\": \"47 (12.7)\", \"bbox\": [380, 177, 409, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 177, 471, 185]}, {\"cell\": \"2010\", \"bbox\": [1, 189, 18, 197]}, {\"cell\": \"743\", \"bbox\": [68, 189, 82, 197]}, {\"cell\": \"222 (29.9)\", \"bbox\": [172, 189, 205, 197]}, {\"cell\": \"122 (16.4)\", \"bbox\": [285, 189, 318, 197]}, {\"cell\": \"96 (12.9)\", \"bbox\": [380, 189, 409, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 189, 476, 197]}, {\"cell\": \"2011\", \"bbox\": [1, 201, 18, 209]}, {\"cell\": \"1458\", \"bbox\": [64, 201, 82, 209]}, {\"cell\": \"424 (29.1)\", \"bbox\": [172, 201, 205, 209]}, {\"cell\": \"286 (19.6)\", \"bbox\": [285, 201, 318, 209]}, {\"cell\": \"136 (9.3)\", \"bbox\": [376, 201, 405, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 201, 476, 209]}, {\"cell\": \"2012\", \"bbox\": [1, 213, 18, 222]}, {\"cell\": \"2155\", \"bbox\": [64, 213, 82, 222]}, {\"cell\": \"640 (29.7)\", \"bbox\": [172, 213, 205, 222]}, {\"cell\": \"356 (16.5)\", \"bbox\": [285, 213, 318, 222]}, {\"cell\": \"254 (11.8)\", \"bbox\": [376, 213, 409, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 213, 476, 222]}, {\"cell\": \"2013\", \"bbox\": [1, 225, 18, 234]}, {\"cell\": \"3481\", \"bbox\": [65, 225, 82, 234]}, {\"cell\": \"943 (27.1)\", \"bbox\": [172, 225, 205, 234]}, {\"cell\": \"484 (13.9)\", \"bbox\": [285, 225, 318, 234]}, {\"cell\": \"390 (11.2)\", \"bbox\": [376, 225, 409, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [451, 225, 471, 234]}, {\"cell\": \"Total\", \"bbox\": [1, 237, 18, 246]}, {\"cell\": \"20,483\", \"bbox\": [60, 237, 83, 246]}, {\"cell\": \"7392 (36.1%)\", \"bbox\": [168, 237, 211, 246]}, {\"cell\": \"5089 (24.8)\", \"bbox\": [281, 237, 318, 246]}, {\"cell\": \"2128 (10.4)\", \"bbox\": [372, 237, 409, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 237, 476, 246]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5889533_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}867{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Study</b></td><td><b>Hyper-Parasitaemia</b></td><td><b>Acidosis</b></td><td><b>AKI</b></td><td><b>Impaired consciousness</b></td><td><b>Shock</b></td><td><b>Coagulopathy</b></td><td><b>ARDS</b></td><td><b>Hypoglycaemia</b></td><td><b>Jaundice</b></td><td><b>Seizures</b></td><td><b>Anaemia</b></td><td><b>Haema globinuria</b></td><td><b>Bacterial Co-Infection</b></td><td><b>Mortality</b></td></tr></thead><tbody><tr><td>Badiaga</td><td>[EMPTY_CELL]</td><td>8%</td><td>35%</td><td>24%</td><td>19%</td><td>8%</td><td>24%</td><td>0%</td><td>62%</td><td>11%</td><td>0%</td><td>14%</td><td>Not reported</td><td>8%</td></tr><tr><td>Blumberg</td><td>[EMPTY_CELL]</td><td>36%</td><td>61%</td><td>39%</td><td>46%</td><td>14%</td><td>46%</td><td>11%</td><td>39%</td><td>11%</td><td>21%</td><td>0%</td><td>Not reported</td><td>29%</td></tr><tr><td>Bruneel 2003 [5]</td><td>[EMPTY_CELL]</td><td>10%</td><td>25%</td><td>18%</td><td>11%</td><td>12%</td><td>5%</td><td>2%</td><td>27%</td><td>1%</td><td>8%</td><td>1%</td><td>10%</td><td>5%</td></tr><tr><td>Bruneel 2010 [6]</td><td>[EMPTY_CELL]</td><td>18%</td><td>34%</td><td>26%</td><td>24%</td><td>3%</td><td>25%</td><td>3%</td><td>52%</td><td>7%</td><td>4%</td><td>6%</td><td>8%</td><td>11%</td></tr><tr><td>Gachot</td><td>[EMPTY_CELL]</td><td>Not reported</td><td>55%</td><td>38%</td><td>25%</td><td>35%</td><td>30%</td><td>10%</td><td>Not reported</td><td>Not reported</td><td>8%</td><td>Not reported</td><td>13%</td><td>13%</td></tr><tr><td>Gonzalez</td><td>[EMPTY_CELL]</td><td>30%</td><td>35%</td><td>20%</td><td>25%</td><td>55%</td><td>10%</td><td>15%</td><td>90%</td><td>10%</td><td>0%</td><td>5%</td><td>0%</td><td>25%</td></tr><tr><td>Khoo</td><td>[EMPTY_CELL]</td><td>35%</td><td>45%</td><td>0%</td><td>30%</td><td>30%</td><td>5%</td><td>0%</td><td>75%</td><td>15%</td><td>20%</td><td>Not reported</td><td>Not reported</td><td>15%</td></tr><tr><td>Marks</td><td>[EMPTY_CELL]</td><td>55%</td><td>44%</td><td>35%</td><td>27%</td><td>11%</td><td>19%</td><td>4%</td><td>69%</td><td>7%</td><td>4%</td><td>0%</td><td>5%</td><td>4%</td></tr><tr><td>Nüesch</td><td>[EMPTY_CELL]</td><td>Not reported</td><td>26%</td><td>17%</td><td>9%</td><td>4%</td><td>4%</td><td>Not reported</td><td>4%</td><td>Not reported</td><td>13%</td><td>Not reported</td><td>13%</td><td>17%</td></tr><tr><td>Salord</td><td>[EMPTY_CELL]</td><td>Not reported</td><td>32%</td><td>47%</td><td>Not reported</td><td>Not reported</td><td>26%</td><td>Not reported</td><td>42%</td><td>16%</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>0%</td></tr><tr><td>Santos</td><td>[EMPTY_CELL]</td><td>39%</td><td>53%</td><td>19%</td><td>49%</td><td>22%</td><td>37%</td><td>31%</td><td>46%</td><td>Not reported</td><td>0%</td><td>Not reported</td><td>3%</td><td>15%</td></tr><tr><td>Schwake</td><td>[EMPTY_CELL]</td><td>31%</td><td>38%</td><td>23%</td><td>38%</td><td>31%</td><td>15%</td><td>23%</td><td>Not reported</td><td>0%</td><td>0%</td><td>Not reported</td><td>Not reported</td><td>0%</td></tr><tr><td>Thierfelder</td><td>[EMPTY_CELL]</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>Not reported</td><td>0%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study</b>\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"<b>Hyper-Parasitaemia</b>\", \"bbox\": [47, 4, 91, 22]}, {\"cell\": \"<b>Acidosis</b>\", \"bbox\": [97, 4, 127, 13]}, {\"cell\": \"<b>AKI</b>\", \"bbox\": [144, 4, 157, 13]}, {\"cell\": \"<b>Impaired consciousness</b>\", \"bbox\": [172, 4, 221, 22]}, {\"cell\": \"<b>Shock</b>\", \"bbox\": [230, 4, 253, 13]}, {\"cell\": \"<b>Coagulopathy</b>\", \"bbox\": [263, 4, 311, 13]}, {\"cell\": \"<b>ARDS</b>\", \"bbox\": [322, 4, 343, 13]}, {\"cell\": \"<b>Hypoglycaemia</b>\", \"bbox\": [354, 4, 407, 13]}, {\"cell\": \"<b>Jaundice</b>\", \"bbox\": [412, 4, 444, 13]}, {\"cell\": \"<b>Seizures</b>\", \"bbox\": [451, 4, 482, 13]}, {\"cell\": \"<b>Anaemia</b>\", \"bbox\": [489, 4, 521, 13]}, {\"cell\": \"<b>Haema globinuria</b>\", \"bbox\": [526, 4, 564, 22]}, {\"cell\": \"<b>Bacterial Co-Infection</b>\", \"bbox\": [567, 4, 609, 22]}, {\"cell\": \"<b>Mortality</b>\", \"bbox\": [613, 4, 645, 13]}, {\"cell\": \"Badiaga\", \"bbox\": [1, 26, 28, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 26, 77, 35]}, {\"cell\": \"8%\", \"bbox\": [106, 26, 118, 35]}, {\"cell\": \"35%\", \"bbox\": [143, 26, 158, 35]}, {\"cell\": \"24%\", \"bbox\": [188, 26, 204, 35]}, {\"cell\": \"19%\", \"bbox\": [234, 26, 249, 35]}, {\"cell\": \"8%\", \"bbox\": [281, 26, 293, 35]}, {\"cell\": \"24%\", \"bbox\": [325, 26, 340, 35]}, {\"cell\": \"0%\", \"bbox\": [374, 26, 386, 35]}, {\"cell\": \"62%\", \"bbox\": [420, 26, 436, 35]}, {\"cell\": \"11%\", \"bbox\": [459, 26, 474, 35]}, {\"cell\": \"0%\", \"bbox\": [499, 26, 511, 35]}, {\"cell\": \"14%\", \"bbox\": [537, 26, 553, 35]}, {\"cell\": \"Not reported\", \"bbox\": [574, 26, 603, 44]}, {\"cell\": \"8%\", \"bbox\": [624, 26, 635, 35]}, {\"cell\": \"Blumberg\", \"bbox\": [1, 49, 34, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 49, 77, 58]}, {\"cell\": \"36%\", \"bbox\": [104, 49, 120, 58]}, {\"cell\": \"61%\", \"bbox\": [143, 49, 158, 58]}, {\"cell\": \"39%\", \"bbox\": [188, 49, 204, 58]}, {\"cell\": \"46%\", \"bbox\": [234, 49, 249, 58]}, {\"cell\": \"14%\", \"bbox\": [279, 49, 295, 58]}, {\"cell\": \"46%\", \"bbox\": [325, 49, 340, 58]}, {\"cell\": \"11%\", \"bbox\": [373, 49, 388, 58]}, {\"cell\": \"39%\", \"bbox\": [420, 49, 436, 58]}, {\"cell\": \"11%\", \"bbox\": [459, 49, 474, 58]}, {\"cell\": \"21%\", \"bbox\": [497, 49, 513, 58]}, {\"cell\": \"0%\", \"bbox\": [539, 49, 551, 58]}, {\"cell\": \"Not reported\", \"bbox\": [574, 49, 603, 67]}, {\"cell\": \"29%\", \"bbox\": [622, 49, 637, 58]}, {\"cell\": \"Bruneel 2003 [5]\", \"bbox\": [1, 72, 28, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 72, 77, 82]}, {\"cell\": \"10%\", \"bbox\": [104, 72, 120, 82]}, {\"cell\": \"25%\", \"bbox\": [143, 72, 158, 82]}, {\"cell\": \"18%\", \"bbox\": [188, 72, 204, 82]}, {\"cell\": \"11%\", \"bbox\": [234, 72, 249, 82]}, {\"cell\": \"12%\", \"bbox\": [279, 72, 295, 82]}, {\"cell\": \"5%\", \"bbox\": [327, 72, 338, 82]}, {\"cell\": \"2%\", \"bbox\": [374, 72, 386, 82]}, {\"cell\": \"27%\", \"bbox\": [420, 72, 436, 82]}, {\"cell\": \"1%\", \"bbox\": [461, 72, 472, 82]}, {\"cell\": \"8%\", \"bbox\": [499, 72, 511, 82]}, {\"cell\": \"1%\", \"bbox\": [539, 72, 551, 82]}, {\"cell\": \"10%\", \"bbox\": [581, 72, 596, 82]}, {\"cell\": \"5%\", \"bbox\": [624, 72, 635, 82]}, {\"cell\": \"Bruneel 2010 [6]\", \"bbox\": [1, 95, 28, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 95, 77, 105]}, {\"cell\": \"18%\", \"bbox\": [104, 95, 120, 105]}, {\"cell\": \"34%\", \"bbox\": [143, 95, 158, 105]}, {\"cell\": \"26%\", \"bbox\": [188, 95, 204, 105]}, {\"cell\": \"24%\", \"bbox\": [234, 95, 249, 105]}, {\"cell\": \"3%\", \"bbox\": [281, 95, 293, 105]}, {\"cell\": \"25%\", \"bbox\": [325, 95, 340, 105]}, {\"cell\": \"3%\", \"bbox\": [374, 95, 386, 105]}, {\"cell\": \"52%\", \"bbox\": [420, 95, 436, 105]}, {\"cell\": \"7%\", \"bbox\": [461, 95, 472, 105]}, {\"cell\": \"4%\", \"bbox\": [499, 95, 511, 105]}, {\"cell\": \"6%\", \"bbox\": [539, 95, 551, 105]}, {\"cell\": \"8%\", \"bbox\": [583, 95, 594, 105]}, {\"cell\": \"11%\", \"bbox\": [622, 95, 637, 105]}, {\"cell\": \"Gachot\", \"bbox\": [1, 118, 25, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 118, 84, 136]}, {\"cell\": \"Not reported\", \"bbox\": [97, 118, 127, 136]}, {\"cell\": \"55%\", \"bbox\": [143, 118, 158, 127]}, {\"cell\": \"38%\", \"bbox\": [188, 118, 204, 127]}, {\"cell\": \"25%\", \"bbox\": [234, 118, 249, 127]}, {\"cell\": \"35%\", \"bbox\": [279, 118, 295, 127]}, {\"cell\": \"30%\", \"bbox\": [325, 118, 340, 127]}, {\"cell\": \"10%\", \"bbox\": [373, 118, 388, 127]}, {\"cell\": \"Not reported\", \"bbox\": [413, 118, 443, 136]}, {\"cell\": \"Not reported\", \"bbox\": [452, 118, 481, 136]}, {\"cell\": \"8%\", \"bbox\": [499, 118, 511, 127]}, {\"cell\": \"Not reported\", \"bbox\": [530, 118, 560, 136]}, {\"cell\": \"13%\", \"bbox\": [581, 118, 596, 127]}, {\"cell\": \"13%\", \"bbox\": [622, 118, 637, 127]}, {\"cell\": \"Gonzalez\", \"bbox\": [1, 141, 31, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 141, 77, 150]}, {\"cell\": \"30%\", \"bbox\": [104, 141, 120, 150]}, {\"cell\": \"35%\", \"bbox\": [143, 141, 158, 150]}, {\"cell\": \"20%\", \"bbox\": [188, 141, 204, 150]}, {\"cell\": \"25%\", \"bbox\": [234, 141, 249, 150]}, {\"cell\": \"55%\", \"bbox\": [279, 141, 295, 150]}, {\"cell\": \"10%\", \"bbox\": [325, 141, 340, 150]}, {\"cell\": \"15%\", \"bbox\": [373, 141, 388, 150]}, {\"cell\": \"90%\", \"bbox\": [420, 141, 436, 150]}, {\"cell\": \"10%\", \"bbox\": [459, 141, 474, 150]}, {\"cell\": \"0%\", \"bbox\": [499, 141, 511, 150]}, {\"cell\": \"5%\", \"bbox\": [539, 141, 551, 150]}, {\"cell\": \"0%\", \"bbox\": [583, 141, 594, 150]}, {\"cell\": \"25%\", \"bbox\": [622, 141, 637, 150]}, {\"cell\": \"Khoo\", \"bbox\": [1, 155, 19, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 155, 77, 164]}, {\"cell\": \"35%\", \"bbox\": [104, 155, 120, 164]}, {\"cell\": \"45%\", \"bbox\": [143, 155, 158, 164]}, {\"cell\": \"0%\", \"bbox\": [190, 155, 202, 164]}, {\"cell\": \"30%\", \"bbox\": [234, 155, 249, 164]}, {\"cell\": \"30%\", \"bbox\": [279, 155, 295, 164]}, {\"cell\": \"5%\", \"bbox\": [327, 155, 338, 164]}, {\"cell\": \"0%\", \"bbox\": [374, 155, 386, 164]}, {\"cell\": \"75%\", \"bbox\": [420, 155, 436, 164]}, {\"cell\": \"15%\", \"bbox\": [459, 155, 474, 164]}, {\"cell\": \"20%\", \"bbox\": [497, 155, 513, 164]}, {\"cell\": \"Not reported\", \"bbox\": [530, 155, 560, 174]}, {\"cell\": \"Not reported\", \"bbox\": [574, 155, 603, 174]}, {\"cell\": \"15%\", \"bbox\": [622, 155, 637, 164]}, {\"cell\": \"Marks\", \"bbox\": [0, 178, 21, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 178, 77, 188]}, {\"cell\": \"55%\", \"bbox\": [104, 178, 120, 188]}, {\"cell\": \"44%\", \"bbox\": [143, 178, 158, 188]}, {\"cell\": \"35%\", \"bbox\": [188, 178, 204, 188]}, {\"cell\": \"27%\", \"bbox\": [234, 178, 249, 188]}, {\"cell\": \"11%\", \"bbox\": [279, 178, 295, 188]}, {\"cell\": \"19%\", \"bbox\": [325, 178, 340, 188]}, {\"cell\": \"4%\", \"bbox\": [374, 178, 386, 188]}, {\"cell\": \"69%\", \"bbox\": [420, 178, 436, 188]}, {\"cell\": \"7%\", \"bbox\": [461, 178, 472, 188]}, {\"cell\": \"4%\", \"bbox\": [499, 178, 511, 188]}, {\"cell\": \"0%\", \"bbox\": [539, 178, 551, 188]}, {\"cell\": \"5%\", \"bbox\": [583, 178, 594, 188]}, {\"cell\": \"4%\", \"bbox\": [624, 178, 635, 188]}, {\"cell\": \"Nüesch\", \"bbox\": [0, 192, 26, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 192, 77, 201]}, {\"cell\": \"Not reported\", \"bbox\": [97, 192, 127, 210]}, {\"cell\": \"26%\", \"bbox\": [143, 192, 158, 201]}, {\"cell\": \"17%\", \"bbox\": [188, 192, 204, 201]}, {\"cell\": \"9%\", \"bbox\": [236, 192, 247, 201]}, {\"cell\": \"4%\", \"bbox\": [281, 192, 293, 201]}, {\"cell\": \"4%\", \"bbox\": [327, 192, 338, 201]}, {\"cell\": \"Not reported\", \"bbox\": [365, 192, 395, 210]}, {\"cell\": \"4%\", \"bbox\": [422, 192, 434, 201]}, {\"cell\": \"Not reported\", \"bbox\": [452, 192, 481, 210]}, {\"cell\": \"13%\", \"bbox\": [497, 192, 513, 201]}, {\"cell\": \"Not reported\", \"bbox\": [530, 192, 560, 210]}, {\"cell\": \"13%\", \"bbox\": [581, 192, 596, 201]}, {\"cell\": \"17%\", \"bbox\": [622, 192, 637, 201]}, {\"cell\": \"Salord\", \"bbox\": [0, 215, 22, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 215, 77, 224]}, {\"cell\": \"Not reported\", \"bbox\": [97, 215, 127, 233]}, {\"cell\": \"32%\", \"bbox\": [143, 215, 158, 224]}, {\"cell\": \"47%\", \"bbox\": [188, 215, 204, 224]}, {\"cell\": \"Not reported\", \"bbox\": [227, 215, 256, 233]}, {\"cell\": \"Not reported\", \"bbox\": [272, 215, 302, 233]}, {\"cell\": \"26%\", \"bbox\": [325, 215, 340, 224]}, {\"cell\": \"Not reported\", \"bbox\": [365, 215, 395, 233]}, {\"cell\": \"42%\", \"bbox\": [420, 215, 436, 224]}, {\"cell\": \"16%\", \"bbox\": [459, 215, 474, 224]}, {\"cell\": \"Not reported\", \"bbox\": [490, 215, 520, 233]}, {\"cell\": \"Not reported\", \"bbox\": [530, 215, 560, 233]}, {\"cell\": \"Not reported\", \"bbox\": [574, 215, 603, 233]}, {\"cell\": \"0%\", \"bbox\": [624, 215, 635, 224]}, {\"cell\": \"Santos\", \"bbox\": [0, 238, 24, 247]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [61, 238, 77, 247]}, {\"cell\": \"39%\", \"bbox\": [104, 238, 120, 247]}, {\"cell\": \"53%\", \"bbox\": [143, 238, 158, 247]}, {\"cell\": \"19%\", \"bbox\": [188, 238, 204, 247]}, {\"cell\": \"49%\", \"bbox\": [234, 238, 249, 247]}, {\"cell\": \"22%\", \"bbox\": [279, 238, 295, 247]}, {\"cell\": \"37%\", \"bbox\": [325, 238, 340, 247]}, {\"cell\": \"31%\", \"bbox\": [373, 238, 388, 247]}, {\"cell\": \"46%\", \"bbox\": [420, 238, 436, 247]}, {\"cell\": \"Not reported\", \"bbox\": [452, 238, 481, 257]}, {\"cell\": \"0%\", \"bbox\": [499, 238, 511, 247]}, {\"cell\": \"Not reported\", \"bbox\": [530, 238, 560, 257]}, {\"cell\": \"3%\", \"bbox\": [583, 238, 594, 247]}, {\"cell\": \"15%\", \"bbox\": [622, 238, 637, 247]}, {\"cell\": \"Schwake\", \"bbox\": [0, 261, 30, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 261, 84, 279]}, {\"cell\": \"31%\", \"bbox\": [104, 261, 120, 271]}, {\"cell\": \"38%\", \"bbox\": [143, 261, 158, 271]}, {\"cell\": \"23%\", \"bbox\": [188, 261, 204, 271]}, {\"cell\": \"38%\", \"bbox\": [234, 261, 249, 271]}, {\"cell\": \"31%\", \"bbox\": [279, 261, 295, 271]}, {\"cell\": \"15%\", \"bbox\": [325, 261, 340, 271]}, {\"cell\": \"23%\", \"bbox\": [373, 261, 388, 271]}, {\"cell\": \"Not reported\", \"bbox\": [413, 261, 443, 279]}, {\"cell\": \"0%\", \"bbox\": [461, 261, 472, 271]}, {\"cell\": \"0%\", \"bbox\": [499, 261, 511, 271]}, {\"cell\": \"Not reported\", \"bbox\": [530, 261, 560, 279]}, {\"cell\": \"Not reported\", \"bbox\": [574, 261, 603, 279]}, {\"cell\": \"0%\", \"bbox\": [624, 261, 635, 271]}, {\"cell\": \"Thierfelder\", \"bbox\": [0, 284, 36, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 284, 84, 302]}, {\"cell\": \"Not reported\", \"bbox\": [97, 284, 127, 302]}, {\"cell\": \"Not reported\", \"bbox\": [136, 284, 165, 302]}, {\"cell\": \"Not reported\", \"bbox\": [181, 284, 211, 302]}, {\"cell\": \"Not reported\", \"bbox\": [227, 284, 256, 302]}, {\"cell\": \"Not reported\", \"bbox\": [272, 284, 302, 302]}, {\"cell\": \"Not reported\", \"bbox\": [318, 284, 347, 302]}, {\"cell\": \"Not reported\", \"bbox\": [365, 284, 395, 302]}, {\"cell\": \"Not reported\", \"bbox\": [413, 284, 443, 302]}, {\"cell\": \"Not reported\", \"bbox\": [452, 284, 481, 302]}, {\"cell\": \"Not reported\", \"bbox\": [490, 284, 520, 302]}, {\"cell\": \"Not reported\", \"bbox\": [530, 284, 560, 302]}, {\"cell\": \"Not reported\", \"bbox\": [574, 284, 603, 302]}, {\"cell\": \"0%\", \"bbox\": [624, 284, 635, 293]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4015364_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}868{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Questions</b></td><td><b>First year (%)</b></td><td><b>Final year (%)</b></td><td><b><i>P</i> value (<i>χ</i><sup>2</sup> test)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td><td>90</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>30</td><td>6</td><td>0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>25</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>52</td><td>83</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>20</td><td>7</td><td>0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>28</td><td>10</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>22</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>82</td><td>32</td><td>0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>16</td><td>46</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>78</td><td>94</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>2</td><td>0.0001</td></tr><tr><td>[EMPTY_CELL]</td><td>14</td><td>4</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Questions</b>\", \"bbox\": [2, 4, 41, 15]}, {\"cell\": \"<b>First year (%)</b>\", \"bbox\": [266, 4, 316, 15]}, {\"cell\": \"<b>Final year (%)</b>\", \"bbox\": [350, 4, 403, 15]}, {\"cell\": \"<b><i>P</i> value (<i>χ</i><sup>2</sup> test)</b>\", \"bbox\": [438, 1, 497, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 18, 200, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 28, 42, 42]}, {\"cell\": \"45\", \"bbox\": [286, 32, 296, 42]}, {\"cell\": \"90\", \"bbox\": [371, 32, 382, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 46, 38, 56]}, {\"cell\": \"30\", \"bbox\": [286, 46, 296, 56]}, {\"cell\": \"6\", \"bbox\": [373, 46, 380, 56]}, {\"cell\": \"0.0001\", \"bbox\": [455, 46, 480, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 59, 77, 69]}, {\"cell\": \"25\", \"bbox\": [286, 59, 296, 69]}, {\"cell\": \"4\", \"bbox\": [373, 59, 380, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 73, 216, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 83, 42, 97]}, {\"cell\": \"52\", \"bbox\": [286, 87, 296, 97]}, {\"cell\": \"83\", \"bbox\": [371, 87, 382, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 101, 38, 111]}, {\"cell\": \"20\", \"bbox\": [286, 101, 296, 111]}, {\"cell\": \"7\", \"bbox\": [373, 101, 380, 111]}, {\"cell\": \"0.0001\", \"bbox\": [455, 102, 480, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 114, 77, 125]}, {\"cell\": \"28\", \"bbox\": [286, 114, 296, 125]}, {\"cell\": \"10\", \"bbox\": [372, 114, 381, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 128, 236, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 138, 42, 153]}, {\"cell\": \"2\", \"bbox\": [288, 142, 294, 153]}, {\"cell\": \"22\", \"bbox\": [371, 142, 382, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 156, 38, 167]}, {\"cell\": \"82\", \"bbox\": [286, 156, 296, 167]}, {\"cell\": \"32\", \"bbox\": [372, 156, 382, 167]}, {\"cell\": \"0.0001\", \"bbox\": [455, 157, 480, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 169, 77, 180]}, {\"cell\": \"16\", \"bbox\": [286, 169, 296, 180]}, {\"cell\": \"46\", \"bbox\": [371, 169, 382, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [2, 183, 218, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 193, 42, 208]}, {\"cell\": \"78\", \"bbox\": [286, 197, 296, 208]}, {\"cell\": \"94\", \"bbox\": [371, 197, 382, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 211, 38, 222]}, {\"cell\": \"8\", \"bbox\": [288, 211, 294, 222]}, {\"cell\": \"2\", \"bbox\": [373, 211, 380, 222]}, {\"cell\": \"0.0001\", \"bbox\": [455, 212, 480, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [12, 225, 77, 235]}, {\"cell\": \"14\", \"bbox\": [286, 225, 296, 235]}, {\"cell\": \"4\", \"bbox\": [373, 225, 380, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3615622_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}869{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>First author, year</b></td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4<sup>a</sup></b></td><td><b>5</b></td><td><b>6</b></td><td><b>7</b></td><td><b>8</b></td><td><b>9</b></td><td><b>score</b></td><td><b>%</b></td></tr></thead><tbody><tr><td>Banasik, 2011 [56]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>SR</td><td>Y <sup>C</sup></td><td>N</td><td>N</td><td>N</td><td>5</td><td>63%</td></tr><tr><td>Banerjee, 2007 [51]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>Y <sup>C</sup></td><td>Y <sup>C</sup></td><td>N</td><td>N</td><td>7</td><td>78%</td></tr><tr><td>Blank, 2003 [31]</td><td>Y</td><td>[EMPTY_CELL]</td><td>?</td><td>Y</td><td>N</td><td>?</td><td>N</td><td>N</td><td>N</td><td>2</td><td>22%</td></tr><tr><td>Bower, 2012 [58]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>?</td><td>Y</td><td>Y</td><td>Y</td><td>8</td><td>89%</td></tr><tr><td>Carson, 2009 [32]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y</td><td>N <sup>C</sup></td><td>N</td><td>N</td><td>Y</td><td>6</td><td>67%</td></tr><tr><td>Chandwani, 2010 [55]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>SR</td><td>Y <sup>C</sup></td><td>N</td><td>N, ES no CI</td><td>Y</td><td>6</td><td>75%</td></tr><tr><td>Cohen, 2004 [44]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>N<sup>C</sup> (SR)</td><td>N <sup>C</sup></td><td>N</td><td>N, only 95% CI</td><td>N</td><td>4</td><td>50%</td></tr><tr><td>Culos-Reed, 2006 [52]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y <sup>C</sup></td><td>Y <sup>C</sup></td><td>N</td><td>N</td><td>Y</td><td>7</td><td>78%</td></tr><tr><td>Danhauer, 2009 [53]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>N<sup>C</sup></td><td>N <sup>C</sup></td><td>N</td><td>N</td><td>Y</td><td>5</td><td>56%</td></tr><tr><td>Littman, 2011 [57]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>Y <sup>C</sup></td><td>Y <sup>d</sup></td><td>N</td><td>Y</td><td>N</td><td>7</td><td>78%</td></tr><tr><td>Moadel, 2007 [54]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y <sup>b</sup></td><td>Y</td><td>N<sup>C</sup></td><td>N <sup>C</sup></td><td>N</td><td>Y</td><td>Y</td><td>6</td><td>67%</td></tr><tr><td>Raghavendra, 2007 [49]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>SR</td><td>N</td><td>N</td><td>N</td><td>N</td><td>4</td><td>50%</td></tr><tr><td>Rao, 2009 [50]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>SR</td><td>N</td><td>N</td><td>Y</td><td>Y</td><td>6</td><td>67%</td></tr><tr><td>Vadiraja, 2009a [46]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>?</td><td>?</td><td>N</td><td>N, ES no CI</td><td>N</td><td>4</td><td>50%</td></tr><tr><td>Vadiraja, 2009b [47]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>SR</td><td>?</td><td>N</td><td>Y</td><td>Y</td><td>6</td><td>75%</td></tr><tr><td>Vadiraja, 2009c [48]</td><td>Y</td><td>[EMPTY_CELL]</td><td>Y</td><td>Y</td><td>SR</td><td>?</td><td>N</td><td>N, ES no CI</td><td>Y</td><td>5</td><td>56%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>First author, year</b>\", \"bbox\": [1, 4, 62, 13]}, {\"cell\": \"<b>1</b>\", \"bbox\": [98, 4, 104, 13]}, {\"cell\": \"<b>2</b>\", \"bbox\": [125, 4, 131, 13]}, {\"cell\": \"<b>3</b>\", \"bbox\": [157, 4, 164, 13]}, {\"cell\": \"<b>4<sup>a</sup></b>\", \"bbox\": [190, 2, 199, 13]}, {\"cell\": \"<b>5</b>\", \"bbox\": [220, 4, 226, 13]}, {\"cell\": \"<b>6</b>\", \"bbox\": [265, 4, 271, 13]}, {\"cell\": \"<b>7</b>\", \"bbox\": [298, 4, 305, 13]}, {\"cell\": \"<b>8</b>\", \"bbox\": [331, 4, 337, 13]}, {\"cell\": \"<b>9</b>\", \"bbox\": [400, 4, 406, 13]}, {\"cell\": \"<b>score</b>\", \"bbox\": [428, 4, 448, 13]}, {\"cell\": \"<b>%</b>\", \"bbox\": [469, 4, 478, 13]}, {\"cell\": \"Banasik, 2011 [56]\", \"bbox\": [1, 17, 59, 27]}, {\"cell\": \"Y\", \"bbox\": [98, 17, 104, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 17, 131, 27]}, {\"cell\": \"Y\", \"bbox\": [157, 17, 163, 27]}, {\"cell\": \"Y\", \"bbox\": [190, 17, 196, 27]}, {\"cell\": \"SR\", \"bbox\": [220, 17, 229, 27]}, {\"cell\": \"Y <sup>C</sup>\", \"bbox\": [265, 15, 277, 27]}, {\"cell\": \"N\", \"bbox\": [298, 17, 305, 27]}, {\"cell\": \"N\", \"bbox\": [331, 17, 338, 27]}, {\"cell\": \"N\", \"bbox\": [400, 17, 407, 27]}, {\"cell\": \"5\", \"bbox\": [428, 17, 434, 27]}, {\"cell\": \"63%\", \"bbox\": [469, 17, 484, 27]}, {\"cell\": \"Banerjee, 2007 [51]\", \"bbox\": [1, 30, 63, 40]}, {\"cell\": \"Y\", \"bbox\": [98, 30, 104, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 29, 137, 40]}, {\"cell\": \"Y\", \"bbox\": [157, 30, 163, 40]}, {\"cell\": \"Y\", \"bbox\": [190, 30, 196, 40]}, {\"cell\": \"Y\", \"bbox\": [220, 30, 226, 40]}, {\"cell\": \"Y <sup>C</sup>\", \"bbox\": [265, 29, 277, 40]}, {\"cell\": \"Y <sup>C</sup>\", \"bbox\": [298, 29, 310, 40]}, {\"cell\": \"N\", \"bbox\": [331, 30, 338, 40]}, {\"cell\": \"N\", \"bbox\": [400, 30, 407, 40]}, {\"cell\": \"7\", \"bbox\": [428, 30, 434, 40]}, {\"cell\": \"78%\", \"bbox\": [469, 30, 484, 40]}, {\"cell\": \"Blank, 2003 [31]\", \"bbox\": [1, 43, 52, 53]}, {\"cell\": \"Y\", \"bbox\": [98, 43, 104, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 43, 130, 53]}, {\"cell\": \"?\", \"bbox\": [157, 43, 162, 53]}, {\"cell\": \"Y\", \"bbox\": [190, 43, 196, 53]}, {\"cell\": \"N\", \"bbox\": [220, 43, 227, 53]}, {\"cell\": \"?\", \"bbox\": [265, 43, 270, 53]}, {\"cell\": \"N\", \"bbox\": [298, 43, 305, 53]}, {\"cell\": \"N\", \"bbox\": [331, 43, 338, 53]}, {\"cell\": \"N\", \"bbox\": [400, 43, 407, 53]}, {\"cell\": \"2\", \"bbox\": [428, 43, 434, 53]}, {\"cell\": \"22%\", \"bbox\": [469, 43, 484, 53]}, {\"cell\": \"Bower, 2012 [58]\", \"bbox\": [1, 57, 56, 66]}, {\"cell\": \"Y\", \"bbox\": [98, 57, 104, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 57, 131, 66]}, {\"cell\": \"Y\", \"bbox\": [157, 57, 163, 66]}, {\"cell\": \"Y\", \"bbox\": [190, 57, 196, 66]}, {\"cell\": \"Y\", \"bbox\": [220, 57, 226, 66]}, {\"cell\": \"?\", \"bbox\": [265, 57, 270, 66]}, {\"cell\": \"Y\", \"bbox\": [298, 57, 304, 66]}, {\"cell\": \"Y\", \"bbox\": [331, 57, 337, 66]}, {\"cell\": \"Y\", \"bbox\": [400, 57, 406, 66]}, {\"cell\": \"8\", \"bbox\": [428, 57, 434, 66]}, {\"cell\": \"89%\", \"bbox\": [469, 57, 484, 66]}, {\"cell\": \"Carson, 2009 [32]\", \"bbox\": [1, 70, 57, 79]}, {\"cell\": \"Y\", \"bbox\": [98, 70, 104, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 70, 131, 79]}, {\"cell\": \"Y\", \"bbox\": [157, 70, 163, 79]}, {\"cell\": \"Y\", \"bbox\": [190, 70, 196, 79]}, {\"cell\": \"Y\", \"bbox\": [220, 70, 226, 79]}, {\"cell\": \"N <sup>C</sup>\", \"bbox\": [265, 68, 278, 79]}, {\"cell\": \"N\", \"bbox\": [298, 70, 305, 79]}, {\"cell\": \"N\", \"bbox\": [331, 70, 338, 79]}, {\"cell\": \"Y\", \"bbox\": [400, 70, 406, 79]}, {\"cell\": \"6\", \"bbox\": [428, 70, 434, 79]}, {\"cell\": \"67%\", \"bbox\": [469, 70, 484, 79]}, {\"cell\": \"Chandwani, 2010 [55]\", \"bbox\": [1, 83, 72, 92]}, {\"cell\": \"Y\", \"bbox\": [98, 83, 104, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 81, 137, 92]}, {\"cell\": \"Y\", \"bbox\": [157, 83, 163, 92]}, {\"cell\": \"Y\", \"bbox\": [190, 83, 196, 92]}, {\"cell\": \"SR\", \"bbox\": [220, 83, 229, 92]}, {\"cell\": \"Y <sup>C</sup>\", \"bbox\": [265, 81, 277, 92]}, {\"cell\": \"N\", \"bbox\": [298, 83, 305, 92]}, {\"cell\": \"N, ES no CI\", \"bbox\": [331, 83, 368, 92]}, {\"cell\": \"Y\", \"bbox\": [400, 83, 406, 92]}, {\"cell\": \"6\", \"bbox\": [428, 83, 434, 92]}, {\"cell\": \"75%\", \"bbox\": [469, 83, 484, 92]}, {\"cell\": \"Cohen, 2004 [44]\", \"bbox\": [1, 96, 57, 105]}, {\"cell\": \"Y\", \"bbox\": [98, 96, 104, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 96, 131, 105]}, {\"cell\": \"Y\", \"bbox\": [157, 96, 163, 105]}, {\"cell\": \"Y\", \"bbox\": [190, 96, 196, 105]}, {\"cell\": \"N<sup>C</sup> (SR)\", \"bbox\": [220, 94, 244, 105]}, {\"cell\": \"N <sup>C</sup>\", \"bbox\": [265, 94, 278, 105]}, {\"cell\": \"N\", \"bbox\": [298, 96, 305, 105]}, {\"cell\": \"N, only 95% CI\", \"bbox\": [331, 96, 380, 105]}, {\"cell\": \"N\", \"bbox\": [400, 96, 407, 105]}, {\"cell\": \"4\", \"bbox\": [428, 96, 434, 105]}, {\"cell\": \"50%\", \"bbox\": [469, 96, 484, 105]}, {\"cell\": \"Culos-Reed, 2006 [52]\", \"bbox\": [1, 109, 71, 119]}, {\"cell\": \"Y\", \"bbox\": [98, 109, 104, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 109, 131, 119]}, {\"cell\": \"Y\", \"bbox\": [157, 109, 163, 119]}, {\"cell\": \"Y\", \"bbox\": [190, 109, 196, 119]}, {\"cell\": \"Y <sup>C</sup>\", \"bbox\": [220, 107, 231, 119]}, {\"cell\": \"Y <sup>C</sup>\", \"bbox\": [265, 107, 277, 119]}, {\"cell\": \"N\", \"bbox\": [298, 109, 305, 119]}, {\"cell\": \"N\", \"bbox\": [331, 109, 338, 119]}, {\"cell\": \"Y\", \"bbox\": [400, 109, 406, 119]}, {\"cell\": \"7\", \"bbox\": [428, 109, 434, 119]}, {\"cell\": \"78%\", \"bbox\": [469, 109, 484, 119]}, {\"cell\": \"Danhauer, 2009 [53]\", \"bbox\": [1, 122, 67, 132]}, {\"cell\": \"Y\", \"bbox\": [98, 122, 104, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 122, 131, 132]}, {\"cell\": \"Y\", \"bbox\": [157, 122, 163, 132]}, {\"cell\": \"Y\", \"bbox\": [190, 122, 196, 132]}, {\"cell\": \"N<sup>C</sup>\", \"bbox\": [220, 121, 230, 132]}, {\"cell\": \"N <sup>C</sup>\", \"bbox\": [265, 121, 278, 132]}, {\"cell\": \"N\", \"bbox\": [298, 122, 305, 132]}, {\"cell\": \"N\", \"bbox\": [331, 122, 338, 132]}, {\"cell\": \"Y\", \"bbox\": [400, 122, 406, 132]}, {\"cell\": \"5\", \"bbox\": [428, 122, 434, 132]}, {\"cell\": \"56%\", \"bbox\": [469, 122, 484, 132]}, {\"cell\": \"Littman, 2011 [57]\", \"bbox\": [1, 135, 60, 145]}, {\"cell\": \"Y\", \"bbox\": [98, 135, 104, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 134, 137, 145]}, {\"cell\": \"Y\", \"bbox\": [157, 135, 163, 145]}, {\"cell\": \"Y\", \"bbox\": [190, 135, 196, 145]}, {\"cell\": \"Y <sup>C</sup>\", \"bbox\": [220, 134, 231, 145]}, {\"cell\": \"Y <sup>d</sup>\", \"bbox\": [265, 134, 276, 145]}, {\"cell\": \"N\", \"bbox\": [298, 135, 305, 145]}, {\"cell\": \"Y\", \"bbox\": [331, 135, 337, 145]}, {\"cell\": \"N\", \"bbox\": [400, 135, 407, 145]}, {\"cell\": \"7\", \"bbox\": [428, 135, 434, 145]}, {\"cell\": \"78%\", \"bbox\": [469, 135, 484, 145]}, {\"cell\": \"Moadel, 2007 [54]\", \"bbox\": [1, 149, 59, 158]}, {\"cell\": \"Y\", \"bbox\": [98, 149, 104, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 147, 137, 158]}, {\"cell\": \"Y <sup>b</sup>\", \"bbox\": [157, 147, 169, 158]}, {\"cell\": \"Y\", \"bbox\": [190, 149, 196, 158]}, {\"cell\": \"N<sup>C</sup>\", \"bbox\": [220, 147, 230, 158]}, {\"cell\": \"N <sup>C</sup>\", \"bbox\": [265, 147, 278, 158]}, {\"cell\": \"N\", \"bbox\": [298, 149, 305, 158]}, {\"cell\": \"Y\", \"bbox\": [331, 149, 337, 158]}, {\"cell\": \"Y\", \"bbox\": [400, 149, 406, 158]}, {\"cell\": \"6\", \"bbox\": [428, 149, 434, 158]}, {\"cell\": \"67%\", \"bbox\": [469, 149, 484, 158]}, {\"cell\": \"Raghavendra, 2007 [49]\", \"bbox\": [1, 162, 77, 171]}, {\"cell\": \"Y\", \"bbox\": [98, 162, 104, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 162, 131, 171]}, {\"cell\": \"Y\", \"bbox\": [157, 162, 163, 171]}, {\"cell\": \"Y\", \"bbox\": [190, 162, 196, 171]}, {\"cell\": \"SR\", \"bbox\": [220, 162, 229, 171]}, {\"cell\": \"N\", \"bbox\": [265, 162, 272, 171]}, {\"cell\": \"N\", \"bbox\": [298, 162, 305, 171]}, {\"cell\": \"N\", \"bbox\": [331, 162, 338, 171]}, {\"cell\": \"N\", \"bbox\": [400, 162, 407, 171]}, {\"cell\": \"4\", \"bbox\": [428, 162, 434, 171]}, {\"cell\": \"50%\", \"bbox\": [469, 162, 484, 171]}, {\"cell\": \"Rao, 2009 [50]\", \"bbox\": [1, 175, 47, 184]}, {\"cell\": \"Y\", \"bbox\": [98, 175, 104, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 175, 131, 184]}, {\"cell\": \"Y\", \"bbox\": [157, 175, 163, 184]}, {\"cell\": \"Y\", \"bbox\": [190, 175, 196, 184]}, {\"cell\": \"SR\", \"bbox\": [220, 175, 229, 184]}, {\"cell\": \"N\", \"bbox\": [265, 175, 272, 184]}, {\"cell\": \"N\", \"bbox\": [298, 175, 305, 184]}, {\"cell\": \"Y\", \"bbox\": [331, 175, 337, 184]}, {\"cell\": \"Y\", \"bbox\": [400, 175, 406, 184]}, {\"cell\": \"6\", \"bbox\": [428, 175, 434, 184]}, {\"cell\": \"67%\", \"bbox\": [469, 175, 484, 184]}, {\"cell\": \"Vadiraja, 2009a [46]\", \"bbox\": [1, 188, 64, 197]}, {\"cell\": \"Y\", \"bbox\": [98, 188, 104, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 188, 131, 197]}, {\"cell\": \"Y\", \"bbox\": [157, 188, 163, 197]}, {\"cell\": \"Y\", \"bbox\": [190, 188, 196, 197]}, {\"cell\": \"?\", \"bbox\": [220, 188, 225, 197]}, {\"cell\": \"?\", \"bbox\": [265, 188, 270, 197]}, {\"cell\": \"N\", \"bbox\": [298, 188, 305, 197]}, {\"cell\": \"N, ES no CI\", \"bbox\": [331, 188, 368, 197]}, {\"cell\": \"N\", \"bbox\": [400, 188, 407, 197]}, {\"cell\": \"4\", \"bbox\": [428, 188, 434, 197]}, {\"cell\": \"50%\", \"bbox\": [469, 188, 484, 197]}, {\"cell\": \"Vadiraja, 2009b [47]\", \"bbox\": [1, 201, 65, 211]}, {\"cell\": \"Y\", \"bbox\": [98, 201, 104, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 201, 131, 211]}, {\"cell\": \"Y\", \"bbox\": [157, 201, 163, 211]}, {\"cell\": \"Y\", \"bbox\": [190, 201, 196, 211]}, {\"cell\": \"SR\", \"bbox\": [220, 201, 229, 211]}, {\"cell\": \"?\", \"bbox\": [265, 201, 270, 211]}, {\"cell\": \"N\", \"bbox\": [298, 201, 305, 211]}, {\"cell\": \"Y\", \"bbox\": [331, 201, 337, 211]}, {\"cell\": \"Y\", \"bbox\": [400, 201, 406, 211]}, {\"cell\": \"6\", \"bbox\": [428, 201, 434, 211]}, {\"cell\": \"75%\", \"bbox\": [469, 201, 484, 211]}, {\"cell\": \"Vadiraja, 2009c [48]\", \"bbox\": [1, 214, 64, 224]}, {\"cell\": \"Y\", \"bbox\": [98, 214, 104, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 214, 131, 224]}, {\"cell\": \"Y\", \"bbox\": [157, 214, 163, 224]}, {\"cell\": \"Y\", \"bbox\": [190, 214, 196, 224]}, {\"cell\": \"SR\", \"bbox\": [220, 214, 229, 224]}, {\"cell\": \"?\", \"bbox\": [265, 214, 270, 224]}, {\"cell\": \"N\", \"bbox\": [298, 214, 305, 224]}, {\"cell\": \"N, ES no CI\", \"bbox\": [331, 214, 368, 224]}, {\"cell\": \"Y\", \"bbox\": [400, 214, 406, 224]}, {\"cell\": \"5\", \"bbox\": [428, 214, 434, 224]}, {\"cell\": \"56%\", \"bbox\": [469, 214, 484, 224]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3571972_014_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}870{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>No.</b></td><td colspan=\\\"2\\\"><b>Unigene</b></td><td colspan=\\\"5\\\"><b>Putative protein</b></td></tr><tr><td><b>ID</b></td><td><b>Nucleotide length (bp)</b></td><td><b>Protein length (aa)</b></td><td><b>Protein annotation</b></td><td><b>E-value</b></td><td><b>Score</b></td><td><b>Identity (%)</b></td></tr></thead><tbody><tr><td>1</td><td>Contig217 in GSE67247</td><td>1521</td><td>376</td><td>[EMPTY_CELL]</td><td>0.0</td><td>1967</td><td>100.0</td></tr><tr><td rowspan=\\\"2\\\">2</td><td>Contig2051 in GSE69721</td><td>3161</td><td>877</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">0.0</td><td rowspan=\\\"2\\\">4180</td><td rowspan=\\\"2\\\">98.1</td></tr><tr><td>Contig27282 in GSE67247</td><td>3907</td><td>877</td></tr><tr><td>3</td><td>Contig2959 in GSE67247</td><td>1211</td><td>231</td><td>[EMPTY_CELL]</td><td>9.3e-164</td><td>1186</td><td>95.2</td></tr><tr><td>4</td><td>Contig2263 in GSE67247</td><td>2372</td><td>433</td><td>[EMPTY_CELL]</td><td>0.0</td><td>1878</td><td>82.4</td></tr><tr><td>5</td><td>Contig6112 in GSE67247</td><td>444</td><td>124</td><td>[EMPTY_CELL]</td><td>1.2e-59</td><td>487</td><td>74.5</td></tr><tr><td>6</td><td>Contig13170 in GSE67247</td><td>787</td><td>230</td><td>[EMPTY_CELL]</td><td>7.9e-36</td><td>301</td><td>90.7</td></tr><tr><td>7</td><td>Contig499 in GSE69721</td><td>467</td><td>109</td><td>[EMPTY_CELL]</td><td>8.8e-35</td><td>310</td><td>80.3</td></tr><tr><td>8</td><td>Contig27398 in GSE67247</td><td>784</td><td>125</td><td>[EMPTY_CELL]</td><td>1.2e-79</td><td>614</td><td>98.4</td></tr><tr><td rowspan=\\\"2\\\">9</td><td>Contig6678 in GSE69721</td><td>398</td><td>78</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>4.4e-22</td><td>224</td><td>65.8</td></tr><tr><td>Contig27530 in GSE67247</td><td>751</td><td>167</td><td>3.3e-31</td><td>[EMPTY_CELL]</td><td>54.1</td></tr><tr><td>10</td><td>Contig198 in GSE69721</td><td>2899</td><td>847</td><td>[EMPTY_CELL]</td><td>0.0</td><td>4329</td><td>98.3</td></tr><tr><td>11</td><td>Contig3975 in GSE69721</td><td>1669</td><td>202</td><td>[EMPTY_CELL]</td><td>2.3e-71</td><td>567</td><td>72.8</td></tr><tr><td rowspan=\\\"2\\\">12</td><td>Contig7475 in GSE67247</td><td>937</td><td>174</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>3e-108</td><td>295</td><td>90.0</td></tr><tr><td>Contig36225 in GSE69721</td><td>359</td><td>119</td><td>1e-61</td><td>[EMPTY_CELL]</td><td>90.0</td></tr><tr><td>13</td><td>Contig4707 in SE67247</td><td>1665</td><td>551</td><td>[EMPTY_CELL]</td><td>0.0</td><td>2323</td><td>80.4</td></tr><tr><td>14</td><td>Contig15192 in SE69721</td><td>494</td><td>128</td><td>[EMPTY_CELL]</td><td>9.7e-54</td><td>468</td><td>73.8</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>No.</b>\", \"bbox\": [1, 4, 13, 13]}, {\"cell\": \"<b>Unigene</b>\", \"bbox\": [21, 4, 50, 13]}, {\"cell\": \"<b>Putative protein</b>\", \"bbox\": [160, 4, 213, 13]}, {\"cell\": \"<b>ID</b>\", \"bbox\": [21, 17, 30, 27]}, {\"cell\": \"<b>Nucleotide length (bp)</b>\", \"bbox\": [114, 17, 152, 36]}, {\"cell\": \"<b>Protein length (aa)</b>\", \"bbox\": [160, 17, 221, 27]}, {\"cell\": \"<b>Protein annotation</b>\", \"bbox\": [229, 17, 291, 27]}, {\"cell\": \"<b>E-value</b>\", \"bbox\": [382, 17, 407, 27]}, {\"cell\": \"<b>Score</b>\", \"bbox\": [418, 17, 438, 27]}, {\"cell\": \"<b>Identity (%)</b>\", \"bbox\": [446, 17, 484, 27]}, {\"cell\": \"1\", \"bbox\": [1, 39, 6, 49]}, {\"cell\": \"Contig217 in GSE67247\", \"bbox\": [21, 39, 98, 49]}, {\"cell\": \"1521\", \"bbox\": [114, 39, 131, 49]}, {\"cell\": \"376\", \"bbox\": [160, 39, 173, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 39, 316, 49]}, {\"cell\": \"0.0\", \"bbox\": [382, 39, 393, 49]}, {\"cell\": \"1967\", \"bbox\": [418, 39, 436, 49]}, {\"cell\": \"100.0\", \"bbox\": [446, 39, 465, 49]}, {\"cell\": \"2\", \"bbox\": [1, 53, 6, 63]}, {\"cell\": \"Contig2051 in GSE69721\", \"bbox\": [21, 53, 102, 63]}, {\"cell\": \"3161\", \"bbox\": [114, 53, 131, 63]}, {\"cell\": \"877\", \"bbox\": [160, 53, 173, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 53, 340, 63]}, {\"cell\": \"0.0\", \"bbox\": [382, 53, 393, 63]}, {\"cell\": \"4180\", \"bbox\": [418, 53, 436, 63]}, {\"cell\": \"98.1\", \"bbox\": [446, 53, 461, 63]}, {\"cell\": \"Contig27282 in GSE67247\", \"bbox\": [21, 67, 106, 77]}, {\"cell\": \"3907\", \"bbox\": [114, 67, 131, 77]}, {\"cell\": \"877\", \"bbox\": [160, 67, 173, 77]}, {\"cell\": \"3\", \"bbox\": [1, 81, 6, 91]}, {\"cell\": \"Contig2959 in GSE67247\", \"bbox\": [21, 81, 102, 91]}, {\"cell\": \"1211\", \"bbox\": [114, 81, 131, 91]}, {\"cell\": \"231\", \"bbox\": [160, 81, 173, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 81, 331, 91]}, {\"cell\": \"9.3e-164\", \"bbox\": [382, 81, 411, 91]}, {\"cell\": \"1186\", \"bbox\": [418, 81, 436, 91]}, {\"cell\": \"95.2\", \"bbox\": [446, 81, 461, 91]}, {\"cell\": \"4\", \"bbox\": [1, 95, 6, 105]}, {\"cell\": \"Contig2263 in GSE67247\", \"bbox\": [21, 95, 102, 105]}, {\"cell\": \"2372\", \"bbox\": [114, 95, 131, 105]}, {\"cell\": \"433\", \"bbox\": [160, 95, 173, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 95, 358, 105]}, {\"cell\": \"0.0\", \"bbox\": [382, 95, 393, 105]}, {\"cell\": \"1878\", \"bbox\": [418, 95, 436, 105]}, {\"cell\": \"82.4\", \"bbox\": [446, 95, 461, 105]}, {\"cell\": \"5\", \"bbox\": [1, 109, 6, 119]}, {\"cell\": \"Contig6112 in GSE67247\", \"bbox\": [21, 109, 102, 119]}, {\"cell\": \"444\", \"bbox\": [114, 109, 127, 119]}, {\"cell\": \"124\", \"bbox\": [160, 109, 173, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 109, 327, 119]}, {\"cell\": \"1.2e-59\", \"bbox\": [382, 109, 407, 119]}, {\"cell\": \"487\", \"bbox\": [418, 109, 432, 119]}, {\"cell\": \"74.5\", \"bbox\": [446, 109, 461, 119]}, {\"cell\": \"6\", \"bbox\": [1, 123, 6, 133]}, {\"cell\": \"Contig13170 in GSE67247\", \"bbox\": [21, 123, 106, 133]}, {\"cell\": \"787\", \"bbox\": [114, 123, 127, 133]}, {\"cell\": \"230\", \"bbox\": [160, 123, 173, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 123, 337, 133]}, {\"cell\": \"7.9e-36\", \"bbox\": [382, 123, 407, 133]}, {\"cell\": \"301\", \"bbox\": [418, 123, 432, 133]}, {\"cell\": \"90.7\", \"bbox\": [446, 123, 461, 133]}, {\"cell\": \"7\", \"bbox\": [1, 137, 6, 147]}, {\"cell\": \"Contig499 in GSE69721\", \"bbox\": [21, 137, 98, 147]}, {\"cell\": \"467\", \"bbox\": [114, 137, 127, 147]}, {\"cell\": \"109\", \"bbox\": [160, 137, 173, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 137, 332, 147]}, {\"cell\": \"8.8e-35\", \"bbox\": [382, 137, 407, 147]}, {\"cell\": \"310\", \"bbox\": [418, 137, 432, 147]}, {\"cell\": \"80.3\", \"bbox\": [446, 137, 461, 147]}, {\"cell\": \"8\", \"bbox\": [1, 151, 6, 161]}, {\"cell\": \"Contig27398 in GSE67247\", \"bbox\": [21, 151, 106, 161]}, {\"cell\": \"784\", \"bbox\": [114, 151, 127, 161]}, {\"cell\": \"125\", \"bbox\": [160, 151, 173, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 151, 352, 161]}, {\"cell\": \"1.2e-79\", \"bbox\": [382, 151, 407, 161]}, {\"cell\": \"614\", \"bbox\": [418, 151, 432, 161]}, {\"cell\": \"98.4\", \"bbox\": [446, 151, 461, 161]}, {\"cell\": \"9\", \"bbox\": [1, 165, 6, 175]}, {\"cell\": \"Contig6678 in GSE69721\", \"bbox\": [21, 165, 102, 175]}, {\"cell\": \"398\", \"bbox\": [114, 165, 127, 175]}, {\"cell\": \"78\", \"bbox\": [160, 165, 169, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 165, 345, 184]}, {\"cell\": \"4.4e-22\", \"bbox\": [382, 165, 407, 175]}, {\"cell\": \"224\", \"bbox\": [418, 165, 432, 175]}, {\"cell\": \"65.8\", \"bbox\": [446, 165, 461, 175]}, {\"cell\": \"Contig27530 in GSE67247\", \"bbox\": [21, 179, 106, 189]}, {\"cell\": \"751\", \"bbox\": [114, 179, 127, 189]}, {\"cell\": \"167\", \"bbox\": [160, 179, 173, 189]}, {\"cell\": \"3.3e-31\", \"bbox\": [382, 179, 407, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 179, 432, 189]}, {\"cell\": \"54.1\", \"bbox\": [446, 179, 461, 189]}, {\"cell\": \"10\", \"bbox\": [1, 193, 10, 203]}, {\"cell\": \"Contig198 in GSE69721\", \"bbox\": [21, 193, 98, 203]}, {\"cell\": \"2899\", \"bbox\": [114, 193, 131, 203]}, {\"cell\": \"847\", \"bbox\": [160, 193, 173, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 193, 337, 212]}, {\"cell\": \"0.0\", \"bbox\": [382, 193, 393, 203]}, {\"cell\": \"4329\", \"bbox\": [418, 193, 436, 203]}, {\"cell\": \"98.3\", \"bbox\": [446, 193, 461, 203]}, {\"cell\": \"11\", \"bbox\": [1, 216, 10, 226]}, {\"cell\": \"Contig3975 in GSE69721\", \"bbox\": [21, 216, 102, 226]}, {\"cell\": \"1669\", \"bbox\": [114, 216, 131, 226]}, {\"cell\": \"202\", \"bbox\": [160, 216, 173, 226]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 216, 365, 226]}, {\"cell\": \"2.3e-71\", \"bbox\": [382, 216, 407, 226]}, {\"cell\": \"567\", \"bbox\": [418, 216, 432, 226]}, {\"cell\": \"72.8\", \"bbox\": [446, 216, 461, 226]}, {\"cell\": \"12\", \"bbox\": [1, 230, 10, 240]}, {\"cell\": \"Contig7475 in GSE67247\", \"bbox\": [21, 230, 102, 240]}, {\"cell\": \"937\", \"bbox\": [114, 230, 127, 240]}, {\"cell\": \"174\", \"bbox\": [160, 230, 173, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 230, 332, 240]}, {\"cell\": \"3e-108\", \"bbox\": [382, 230, 405, 240]}, {\"cell\": \"295\", \"bbox\": [418, 230, 432, 240]}, {\"cell\": \"90.0\", \"bbox\": [446, 230, 461, 240]}, {\"cell\": \"Contig36225 in GSE69721\", \"bbox\": [21, 244, 106, 254]}, {\"cell\": \"359\", \"bbox\": [114, 244, 127, 254]}, {\"cell\": \"119\", \"bbox\": [160, 244, 173, 254]}, {\"cell\": \"1e-61\", \"bbox\": [382, 244, 402, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [418, 244, 432, 254]}, {\"cell\": \"90.0\", \"bbox\": [446, 244, 461, 254]}, {\"cell\": \"13\", \"bbox\": [1, 258, 10, 268]}, {\"cell\": \"Contig4707 in SE67247\", \"bbox\": [21, 258, 97, 268]}, {\"cell\": \"1665\", \"bbox\": [114, 258, 131, 268]}, {\"cell\": \"551\", \"bbox\": [160, 258, 173, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 258, 374, 268]}, {\"cell\": \"0.0\", \"bbox\": [382, 258, 393, 268]}, {\"cell\": \"2323\", \"bbox\": [418, 258, 436, 268]}, {\"cell\": \"80.4\", \"bbox\": [446, 258, 461, 268]}, {\"cell\": \"14\", \"bbox\": [1, 272, 10, 282]}, {\"cell\": \"Contig15192 in SE69721\", \"bbox\": [21, 272, 101, 282]}, {\"cell\": \"494\", \"bbox\": [114, 272, 127, 282]}, {\"cell\": \"128\", \"bbox\": [160, 272, 173, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 272, 357, 282]}, {\"cell\": \"9.7e-54\", \"bbox\": [382, 272, 407, 282]}, {\"cell\": \"468\", \"bbox\": [418, 272, 432, 282]}, {\"cell\": \"73.8\", \"bbox\": [446, 272, 461, 282]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5806362_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}871{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Studies (Author, year, country)</b></td><td><b>Design</b></td><td><b>Treatment</b></td><td><b>No. of patients</b></td><td><b>Age (years)</b></td><td><b>Sex (M/F)</b></td><td><b>Tumor size (cm)</b></td><td><b>Child-Pugh Class (A/B/C)</b></td><td><b>No. of tumors (1 /≥ 2)</b></td><td><b>Mean follow up (months)</b></td></tr></thead><tbody><tr><td>Azuma <i>et al.</i>, 2016 (Japan)</td><td>[EMPTY_CELL]</td><td>TACE + RFATACE</td><td>2039</td><td>69 (52–82)70 (48–92)</td><td>14/625/14</td><td>1.3 (0.4–5.0)1.3 (0.4–5.2)</td><td>16/4/028/11/0</td><td>0/200/39</td><td>NANA</td></tr><tr><td>Bloomston <i>et al.</i>,2002 (American)</td><td>[EMPTY_CELL]</td><td>TACE + RFATACE</td><td>1324</td><td>61.1 ± 9.464.3 ± 11.9</td><td>12/115/9</td><td>NANA</td><td>NANA</td><td>NANA</td><td>9.1 ± 7.19.1 ± 7.1</td></tr><tr><td>Hyun <i>et al.</i>,2016 (Korea)</td><td>[EMPTY_CELL]</td><td>TACE + RFATACE</td><td>3754</td><td>57.7 ± 7.759.5 ± 9.5</td><td>31/642/12</td><td>NANA</td><td>34/3/045/9/0</td><td>26/1136/18</td><td>32.5 (32.0 ± 9.5)47.6 (41.5 ± 18.0)</td></tr><tr><td>Iezzi <i>et al.</i>,2015 (Italy)</td><td>[EMPTY_CELL]</td><td>TACE + RFATACE</td><td>4020</td><td>68.2 ± 6.170.5 ± 5.8</td><td>24/1616/4</td><td>4.7 ± 1.14.2 ± 1.7</td><td>24/16/03/17/0</td><td>NANA</td><td>24 ± 824 ± 17</td></tr><tr><td>Liu <i>er al.</i>,2014 (China)</td><td>[EMPTY_CELL]</td><td>TACE + RFATACE</td><td>4543</td><td>45–7544–78</td><td>36/943/34</td><td>4–155–14</td><td>13/20/1210/23/10</td><td>30/1530/13</td><td>NANA</td></tr><tr><td>Othman <i>et al.</i>,2014 (Egypt)</td><td>[EMPTY_CELL]</td><td>TACE + RFARFATACE</td><td>202020</td><td>49 (45–70)49 (45–70)49 (45–70)</td><td>40/20</td><td>5–75–75–7</td><td>NANANA</td><td>NANANA</td><td>NANANA</td></tr><tr><td>Song <i>et al.</i>,2016 (Korea)</td><td>[EMPTY_CELL]</td><td>TACE + RFARFATACE</td><td>874371</td><td>60.4 (29–78)62.0 (35–88)60.0 (23–87)</td><td>70/1731/1253/18</td><td>2.5 (1.0–4.6)2.2 (1.3–4.7)2.5 (1.0–4.7)</td><td>80/7/037/6/068/3/0</td><td>62/2335/841/30</td><td>33.3 (3.8–80.9)33.3 (3.8–80.9)33.3 (3.8–80.9)</td></tr><tr><td>Tang <i>et al.</i>,2016 (China)</td><td>[EMPTY_CELL]</td><td>TACE + RFARFATACE</td><td>404943</td><td>48.3 ± 13.547.1 ± 13.345.8 ± 15.1</td><td>29/1134/1533/10</td><td>NANANA</td><td>18/22/022/27/019/24/0</td><td>14/2615/3413/30</td><td>NANANA</td></tr><tr><td>Yang <i>et al.</i>,2008 (China)</td><td>[EMPTY_CELL]</td><td>TACE + RFARFATACE</td><td>241211</td><td>59 ± 11.161.0 ± 10.457.6 ± 11.8</td><td>18/68/48/4</td><td>6.6 ± 0.65.2 ± 0.46.4 ± 1.0</td><td>11/5/18/6/110/5/0</td><td>5/348/187/1</td><td>NANANA</td></tr><tr><td>Yang <i>et al.</i>,2009 (China)</td><td>[EMPTY_CELL]</td><td>TACE + RFARFATACE</td><td>313735</td><td>57.8 (43–78)58.3 (38–80)51.2 (30–74)</td><td>24/727/1030/5</td><td>3.5 (1.7–7.3)3.8 (2–6.4)3.6 (1.2–8.0)</td><td>20/10/123/13/121/13/1</td><td>15/1617/2014/21</td><td>NANANA</td></tr><tr><td>Yin <i>et al.</i>,2014 (China)</td><td>[EMPTY_CELL]</td><td>TACE + RFATACE</td><td>55156</td><td>NANA</td><td>47/8138/18</td><td>5.9 (5–8)6.0 (5–8)</td><td>48/7/0136/20/0</td><td>35/20115/41</td><td>23 (2–71)23 (2–71)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Studies (Author, year, country)</b>\", \"bbox\": [6, 5, 57, 21]}, {\"cell\": \"<b>Design</b>\", \"bbox\": [71, 5, 93, 13]}, {\"cell\": \"<b>Treatment</b>\", \"bbox\": [112, 5, 145, 13]}, {\"cell\": \"<b>No. of patients</b>\", \"bbox\": [159, 5, 184, 21]}, {\"cell\": \"<b>Age (years)</b>\", \"bbox\": [202, 5, 225, 21]}, {\"cell\": \"<b>Sex (M/F)</b>\", \"bbox\": [245, 5, 265, 21]}, {\"cell\": \"<b>Tumor size (cm)</b>\", \"bbox\": [282, 5, 317, 21]}, {\"cell\": \"<b>Child-Pugh Class (A/B/C)</b>\", \"bbox\": [330, 5, 373, 21]}, {\"cell\": \"<b>No. of tumors (1 /≥ 2)</b>\", \"bbox\": [382, 5, 425, 22]}, {\"cell\": \"<b>Mean follow up (months)</b>\", \"bbox\": [440, 5, 489, 21]}, {\"cell\": \"Azuma <i>et al.</i>, 2016 (Japan)\", \"bbox\": [4, 26, 44, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 26, 94, 34]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 26, 146, 42]}, {\"cell\": \"2039\", \"bbox\": [167, 26, 176, 42]}, {\"cell\": \"69 (52–82)70 (48–92)\", \"bbox\": [197, 26, 230, 42]}, {\"cell\": \"14/625/14\", \"bbox\": [246, 26, 264, 42]}, {\"cell\": \"1.3 (0.4–5.0)1.3 (0.4–5.2)\", \"bbox\": [280, 26, 319, 42]}, {\"cell\": \"16/4/028/11/0\", \"bbox\": [340, 26, 363, 42]}, {\"cell\": \"0/200/39\", \"bbox\": [396, 26, 411, 42]}, {\"cell\": \"NANA\", \"bbox\": [459, 26, 471, 42]}, {\"cell\": \"Bloomston <i>et al.</i>,2002 (American)\", \"bbox\": [4, 47, 55, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 47, 94, 55]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 47, 146, 64]}, {\"cell\": \"1324\", \"bbox\": [167, 47, 176, 64]}, {\"cell\": \"61.1 ± 9.464.3 ± 11.9\", \"bbox\": [197, 47, 230, 64]}, {\"cell\": \"12/115/9\", \"bbox\": [248, 47, 262, 64]}, {\"cell\": \"NANA\", \"bbox\": [294, 47, 306, 64]}, {\"cell\": \"NANA\", \"bbox\": [346, 47, 358, 64]}, {\"cell\": \"NANA\", \"bbox\": [398, 47, 410, 64]}, {\"cell\": \"9.1 ± 7.19.1 ± 7.1\", \"bbox\": [451, 47, 478, 64]}, {\"cell\": \"Hyun <i>et al.</i>,2016 (Korea)\", \"bbox\": [5, 68, 44, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 68, 94, 77]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 68, 146, 85]}, {\"cell\": \"3754\", \"bbox\": [167, 68, 176, 85]}, {\"cell\": \"57.7 ± 7.759.5 ± 9.5\", \"bbox\": [198, 68, 228, 85]}, {\"cell\": \"31/642/12\", \"bbox\": [246, 68, 264, 85]}, {\"cell\": \"NANA\", \"bbox\": [294, 68, 306, 85]}, {\"cell\": \"34/3/045/9/0\", \"bbox\": [342, 68, 361, 85]}, {\"cell\": \"26/1136/18\", \"bbox\": [395, 68, 413, 85]}, {\"cell\": \"32.5 (32.0 ± 9.5)47.6 (41.5 ± 18.0)\", \"bbox\": [438, 68, 492, 85]}, {\"cell\": \"Iezzi <i>et al.</i>,2015 (Italy)\", \"bbox\": [5, 89, 40, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 89, 94, 98]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 89, 146, 106]}, {\"cell\": \"4020\", \"bbox\": [167, 89, 176, 106]}, {\"cell\": \"68.2 ± 6.170.5 ± 5.8\", \"bbox\": [198, 89, 228, 106]}, {\"cell\": \"24/1616/4\", \"bbox\": [246, 89, 264, 106]}, {\"cell\": \"4.7 ± 1.14.2 ± 1.7\", \"bbox\": [286, 89, 313, 106]}, {\"cell\": \"24/16/03/17/0\", \"bbox\": [340, 89, 363, 106]}, {\"cell\": \"NANA\", \"bbox\": [398, 89, 410, 106]}, {\"cell\": \"24 ± 824 ± 17\", \"bbox\": [453, 89, 476, 106]}, {\"cell\": \"Liu <i>er al.</i>,2014 (China)\", \"bbox\": [5, 111, 44, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 111, 94, 119]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 111, 146, 127]}, {\"cell\": \"4543\", \"bbox\": [167, 111, 176, 127]}, {\"cell\": \"45–7544–78\", \"bbox\": [204, 111, 223, 127]}, {\"cell\": \"36/943/34\", \"bbox\": [246, 111, 264, 127]}, {\"cell\": \"4–155–14\", \"bbox\": [292, 111, 308, 127]}, {\"cell\": \"13/20/1210/23/10\", \"bbox\": [338, 111, 365, 127]}, {\"cell\": \"30/1530/13\", \"bbox\": [395, 111, 413, 127]}, {\"cell\": \"NANA\", \"bbox\": [459, 111, 471, 127]}, {\"cell\": \"Othman <i>et al.</i>,2014 (Egypt)\", \"bbox\": [5, 132, 47, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 132, 94, 140]}, {\"cell\": \"TACE + RFARFATACE\", \"bbox\": [106, 132, 146, 157]}, {\"cell\": \"202020\", \"bbox\": [167, 132, 176, 157]}, {\"cell\": \"49 (45–70)49 (45–70)49 (45–70)\", \"bbox\": [197, 132, 230, 157]}, {\"cell\": \"40/20\", \"bbox\": [246, 132, 264, 140]}, {\"cell\": \"5–75–75–7\", \"bbox\": [293, 132, 306, 157]}, {\"cell\": \"NANANA\", \"bbox\": [346, 132, 358, 157]}, {\"cell\": \"NANANA\", \"bbox\": [398, 132, 410, 157]}, {\"cell\": \"NANANA\", \"bbox\": [459, 132, 471, 157]}, {\"cell\": \"Song <i>et al.</i>,2016 (Korea)\", \"bbox\": [5, 162, 44, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 162, 94, 170]}, {\"cell\": \"TACE + RFARFATACE\", \"bbox\": [106, 162, 146, 187]}, {\"cell\": \"874371\", \"bbox\": [167, 162, 176, 187]}, {\"cell\": \"60.4 (29–78)62.0 (35–88)60.0 (23–87)\", \"bbox\": [194, 162, 232, 187]}, {\"cell\": \"70/1731/1253/18\", \"bbox\": [246, 162, 264, 187]}, {\"cell\": \"2.5 (1.0–4.6)2.2 (1.3–4.7)2.5 (1.0–4.7)\", \"bbox\": [280, 162, 319, 187]}, {\"cell\": \"80/7/037/6/068/3/0\", \"bbox\": [342, 162, 362, 187]}, {\"cell\": \"62/2335/841/30\", \"bbox\": [395, 162, 413, 187]}, {\"cell\": \"33.3 (3.8–80.9)33.3 (3.8–80.9)33.3 (3.8–80.9)\", \"bbox\": [442, 162, 487, 187]}, {\"cell\": \"Tang <i>et al.</i>,2016 (China)\", \"bbox\": [5, 191, 45, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 191, 94, 200]}, {\"cell\": \"TACE + RFARFATACE\", \"bbox\": [106, 191, 146, 216]}, {\"cell\": \"404943\", \"bbox\": [167, 191, 176, 216]}, {\"cell\": \"48.3 ± 13.547.1 ± 13.345.8 ± 15.1\", \"bbox\": [196, 191, 230, 216]}, {\"cell\": \"29/1134/1533/10\", \"bbox\": [246, 191, 264, 216]}, {\"cell\": \"NANANA\", \"bbox\": [294, 191, 306, 216]}, {\"cell\": \"18/22/022/27/019/24/0\", \"bbox\": [340, 191, 363, 216]}, {\"cell\": \"14/2615/3413/30\", \"bbox\": [395, 191, 413, 216]}, {\"cell\": \"NANANA\", \"bbox\": [459, 191, 471, 216]}, {\"cell\": \"Yang <i>et al.</i>,2008 (China)\", \"bbox\": [5, 221, 44, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 221, 80, 229]}, {\"cell\": \"TACE + RFARFATACE\", \"bbox\": [106, 221, 146, 246]}, {\"cell\": \"241211\", \"bbox\": [167, 221, 176, 246]}, {\"cell\": \"59 ± 11.161.0 ± 10.457.6 ± 11.8\", \"bbox\": [196, 221, 230, 246]}, {\"cell\": \"18/68/48/4\", \"bbox\": [248, 221, 262, 246]}, {\"cell\": \"6.6 ± 0.65.2 ± 0.46.4 ± 1.0\", \"bbox\": [286, 221, 313, 246]}, {\"cell\": \"11/5/18/6/110/5/0\", \"bbox\": [342, 221, 362, 246]}, {\"cell\": \"5/348/187/1\", \"bbox\": [396, 221, 411, 246]}, {\"cell\": \"NANANA\", \"bbox\": [459, 221, 471, 246]}, {\"cell\": \"Yang <i>et al.</i>,2009 (China)\", \"bbox\": [5, 251, 44, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 251, 94, 259]}, {\"cell\": \"TACE + RFARFATACE\", \"bbox\": [106, 251, 146, 276]}, {\"cell\": \"313735\", \"bbox\": [167, 251, 176, 276]}, {\"cell\": \"57.8 (43–78)58.3 (38–80)51.2 (30–74)\", \"bbox\": [194, 251, 232, 276]}, {\"cell\": \"24/727/1030/5\", \"bbox\": [246, 251, 264, 276]}, {\"cell\": \"3.5 (1.7–7.3)3.8 (2–6.4)3.6 (1.2–8.0)\", \"bbox\": [280, 251, 319, 276]}, {\"cell\": \"20/10/123/13/121/13/1\", \"bbox\": [340, 251, 363, 276]}, {\"cell\": \"15/1617/2014/21\", \"bbox\": [395, 251, 413, 276]}, {\"cell\": \"NANANA\", \"bbox\": [459, 251, 471, 276]}, {\"cell\": \"Yin <i>et al.</i>,2014 (China)\", \"bbox\": [5, 280, 44, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 280, 94, 289]}, {\"cell\": \"TACE + RFATACE\", \"bbox\": [106, 280, 146, 297]}, {\"cell\": \"55156\", \"bbox\": [165, 280, 178, 297]}, {\"cell\": \"NANA\", \"bbox\": [207, 280, 220, 297]}, {\"cell\": \"47/8138/18\", \"bbox\": [244, 280, 266, 297]}, {\"cell\": \"5.9 (5–8)6.0 (5–8)\", \"bbox\": [286, 280, 313, 297]}, {\"cell\": \"48/7/0136/20/0\", \"bbox\": [338, 280, 365, 297]}, {\"cell\": \"35/20115/41\", \"bbox\": [393, 280, 414, 297]}, {\"cell\": \"23 (2–71)23 (2–71)\", \"bbox\": [450, 280, 479, 297]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5356855_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}872{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Species</b></td><td><b>Number of individuals</b></td><td><b>Mean intra‐sp</b></td><td><b>Max intra‐sp</b></td><td><b>Distance to NN</b></td><td><b>NN</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">COI</td></tr><tr><td><i>P. citrinopileatus</i></td><td>3</td><td>0</td><td>[EMPTY_CELL]</td><td>7.7</td><td><i>P. djamor</i></td></tr><tr><td><i>P. djamor</i></td><td>2</td><td>0.13</td><td>[EMPTY_CELL]</td><td>7.7</td><td><i>P. citrinopileatus</i></td></tr><tr><td><i>P. eryngii</i></td><td>1</td><td>N/A</td><td>[EMPTY_CELL]</td><td><b>1.47</b></td><td><i>P. ostreatus</i></td></tr><tr><td><i>P. giganteus</i></td><td>1</td><td>N/A</td><td>[EMPTY_CELL]</td><td>4.55</td><td><i>P. pulmonarius</i></td></tr><tr><td><i>P. ostreatus</i></td><td>8</td><td>0.45</td><td>[EMPTY_CELL]</td><td><b>1.2</b></td><td><i>P. pulmonarius</i></td></tr><tr><td><i>P. pulmonarius</i></td><td>7</td><td>0.08</td><td>[EMPTY_CELL]</td><td><b>1.2</b></td><td><i>P. ostreatus</i></td></tr><tr><td colspan=\\\"6\\\">ITS</td></tr><tr><td><i>P. citrinopileatus</i></td><td>3</td><td>0</td><td>[EMPTY_CELL]</td><td>12.06</td><td><i>P. giganteus</i></td></tr><tr><td><i>P. djamor</i></td><td>2</td><td>0.16</td><td>[EMPTY_CELL]</td><td>19.37</td><td><i>P. pulmonarius</i></td></tr><tr><td><i>P. eryngii</i></td><td>1</td><td>N/A</td><td>[EMPTY_CELL]</td><td>2.37</td><td><i>P. ostreatus</i></td></tr><tr><td><i>P. giganteus</i></td><td>3</td><td>2.33</td><td>[EMPTY_CELL]</td><td>12.06</td><td><i>P. citrinopileatus</i></td></tr><tr><td><i>P. ostreatus</i></td><td>4</td><td>12.18</td><td>[EMPTY_CELL]</td><td><b>1.89</b></td><td><i>P. pulmonarius</i></td></tr><tr><td><i>P. pulmonarius</i></td><td>7</td><td>0</td><td>[EMPTY_CELL]</td><td><b>1.89</b></td><td><i>P. ostreatus</i></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Species</b>\", \"bbox\": [7, 15, 34, 27]}, {\"cell\": \"<b>Number of individuals</b>\", \"bbox\": [102, 7, 140, 27]}, {\"cell\": \"<b>Mean intra‐sp</b>\", \"bbox\": [179, 15, 228, 27]}, {\"cell\": \"<b>Max intra‐sp</b>\", \"bbox\": [267, 15, 312, 27]}, {\"cell\": \"<b>Distance to NN</b>\", \"bbox\": [351, 18, 405, 25]}, {\"cell\": \"<b>NN</b>\", \"bbox\": [444, 18, 457, 25]}, {\"cell\": \"COI\", \"bbox\": [7, 31, 22, 43]}, {\"cell\": \"<i>P. citrinopileatus</i>\", \"bbox\": [14, 48, 68, 57]}, {\"cell\": \"3\", \"bbox\": [102, 45, 108, 57]}, {\"cell\": \"0\", \"bbox\": [184, 48, 190, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 48, 278, 55]}, {\"cell\": \"7.7\", \"bbox\": [355, 48, 367, 55]}, {\"cell\": \"<i>P. djamor</i>\", \"bbox\": [444, 48, 476, 57]}, {\"cell\": \"<i>P. djamor</i>\", \"bbox\": [14, 62, 46, 71]}, {\"cell\": \"2\", \"bbox\": [102, 62, 108, 70]}, {\"cell\": \"0.13\", \"bbox\": [184, 59, 201, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 59, 289, 71]}, {\"cell\": \"7.7\", \"bbox\": [355, 62, 367, 70]}, {\"cell\": \"<i>P. citrinopileatus</i>\", \"bbox\": [444, 62, 498, 71]}, {\"cell\": \"<i>P. eryngii</i>\", \"bbox\": [14, 76, 45, 85]}, {\"cell\": \"1\", \"bbox\": [102, 76, 108, 84]}, {\"cell\": \"N/A\", \"bbox\": [179, 73, 195, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 73, 283, 86]}, {\"cell\": \"<b>1.47</b>\", \"bbox\": [355, 76, 371, 84]}, {\"cell\": \"<i>P. ostreatus</i>\", \"bbox\": [444, 76, 483, 85]}, {\"cell\": \"<i>P. giganteus</i>\", \"bbox\": [14, 90, 54, 99]}, {\"cell\": \"1\", \"bbox\": [102, 90, 108, 98]}, {\"cell\": \"N/A\", \"bbox\": [179, 87, 195, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 87, 283, 100]}, {\"cell\": \"4.55\", \"bbox\": [355, 87, 371, 100]}, {\"cell\": \"<i>P. pulmonarius</i>\", \"bbox\": [444, 90, 492, 99]}, {\"cell\": \"<i>P. ostreatus</i>\", \"bbox\": [14, 104, 53, 113]}, {\"cell\": \"8\", \"bbox\": [102, 104, 108, 112]}, {\"cell\": \"0.45\", \"bbox\": [184, 101, 201, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 104, 284, 112]}, {\"cell\": \"<b>1.2</b>\", \"bbox\": [355, 104, 367, 112]}, {\"cell\": \"<i>P. pulmonarius</i>\", \"bbox\": [444, 104, 492, 113]}, {\"cell\": \"<i>P. pulmonarius</i>\", \"bbox\": [14, 118, 62, 127]}, {\"cell\": \"7\", \"bbox\": [102, 118, 108, 126]}, {\"cell\": \"0.08\", \"bbox\": [184, 118, 201, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 116, 289, 128]}, {\"cell\": \"<b>1.2</b>\", \"bbox\": [355, 118, 367, 126]}, {\"cell\": \"<i>P. ostreatus</i>\", \"bbox\": [444, 118, 483, 127]}, {\"cell\": \"ITS\", \"bbox\": [7, 130, 19, 142]}, {\"cell\": \"<i>P. citrinopileatus</i>\", \"bbox\": [14, 146, 68, 155]}, {\"cell\": \"3\", \"bbox\": [102, 144, 108, 156]}, {\"cell\": \"0\", \"bbox\": [184, 146, 190, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 146, 278, 154]}, {\"cell\": \"12.06\", \"bbox\": [351, 146, 372, 154]}, {\"cell\": \"<i>P. giganteus</i>\", \"bbox\": [444, 146, 484, 155]}, {\"cell\": \"<i>P. djamor</i>\", \"bbox\": [14, 160, 46, 169]}, {\"cell\": \"2\", \"bbox\": [102, 160, 108, 168]}, {\"cell\": \"0.16\", \"bbox\": [184, 160, 201, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 160, 289, 168]}, {\"cell\": \"19.37\", \"bbox\": [351, 158, 372, 170]}, {\"cell\": \"<i>P. pulmonarius</i>\", \"bbox\": [444, 160, 492, 169]}, {\"cell\": \"<i>P. eryngii</i>\", \"bbox\": [14, 174, 45, 183]}, {\"cell\": \"1\", \"bbox\": [102, 174, 108, 182]}, {\"cell\": \"N/A\", \"bbox\": [179, 172, 195, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 172, 283, 184]}, {\"cell\": \"2.37\", \"bbox\": [355, 172, 371, 184]}, {\"cell\": \"<i>P. ostreatus</i>\", \"bbox\": [444, 174, 483, 183]}, {\"cell\": \"<i>P. giganteus</i>\", \"bbox\": [14, 188, 54, 197]}, {\"cell\": \"3\", \"bbox\": [102, 186, 108, 198]}, {\"cell\": \"2.33\", \"bbox\": [184, 186, 201, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 188, 289, 196]}, {\"cell\": \"12.06\", \"bbox\": [351, 188, 372, 196]}, {\"cell\": \"<i>P. citrinopileatus</i>\", \"bbox\": [444, 188, 498, 197]}, {\"cell\": \"<i>P. ostreatus</i>\", \"bbox\": [14, 202, 53, 211]}, {\"cell\": \"4\", \"bbox\": [102, 200, 108, 212]}, {\"cell\": \"12.18\", \"bbox\": [179, 202, 201, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 202, 289, 210]}, {\"cell\": \"<b>1.89</b>\", \"bbox\": [355, 202, 371, 210]}, {\"cell\": \"<i>P. pulmonarius</i>\", \"bbox\": [444, 202, 492, 211]}, {\"cell\": \"<i>P. pulmonarius</i>\", \"bbox\": [14, 216, 62, 225]}, {\"cell\": \"7\", \"bbox\": [102, 216, 108, 224]}, {\"cell\": \"0\", \"bbox\": [184, 216, 190, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [272, 216, 278, 224]}, {\"cell\": \"<b>1.89</b>\", \"bbox\": [355, 216, 371, 224]}, {\"cell\": \"<i>P. ostreatus</i>\", \"bbox\": [444, 216, 483, 225]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5587487_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}873{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Total cohort (<i>n</i> = 591)</b></td><td><b>Biopsies taken * after PCA3 (<i>n</i> = 290)</b></td><td><b>No biopsy taken after PCA3 (<i>n</i> = 301)</b></td><td><b><i>p</i>-Value</b></td></tr></thead><tbody><tr><td>Age (median, yrs)</td><td colspan=\\\"2\\\">64</td><td>[EMPTY_CELL]</td><td>63</td><td>0.0230 a</td></tr><tr><td>DRE suspicious</td><td colspan=\\\"2\\\">117</td><td>[EMPTY_CELL]</td><td>27</td><td><0.0001 b</td></tr><tr><td>Prostate volume (median, cc)</td><td colspan=\\\"2\\\">45</td><td>[EMPTY_CELL]</td><td>40</td><td>0.0267 a</td></tr><tr><td>No previous biopsies</td><td colspan=\\\"2\\\">255</td><td>[EMPTY_CELL]</td><td>88</td><td><0.0001 b</td></tr><tr><td>PSA (median, ng/mL)</td><td colspan=\\\"2\\\">7.2</td><td>[EMPTY_CELL]</td><td>7.1</td><td>0.0432 a</td></tr><tr><td>PCA3 (median)</td><td colspan=\\\"2\\\">24</td><td>[EMPTY_CELL]</td><td>17</td><td><0.0001 a</td></tr><tr><td>[EMPTY_CELL]</td><td>PCA3 < 35 (<i>n</i> = 369)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Biopsy taken *</td><td>128</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Prostate cancer upon biopsy</td><td>30</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total cohort (<i>n</i> = 591)</b>\", \"bbox\": [169, 14, 224, 40]}, {\"cell\": \"<b>Biopsies taken * after PCA3 (<i>n</i> = 290)</b>\", \"bbox\": [266, 7, 337, 48]}, {\"cell\": \"<b>No biopsy taken after PCA3 (<i>n</i> = 301)</b>\", \"bbox\": [350, 7, 421, 48]}, {\"cell\": \"<b><i>p</i>-Value</b>\", \"bbox\": [439, 22, 474, 33]}, {\"cell\": \"Age (median, yrs)\", \"bbox\": [30, 52, 105, 63]}, {\"cell\": \"64\", \"bbox\": [191, 52, 203, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 52, 308, 63]}, {\"cell\": \"63\", \"bbox\": [380, 52, 392, 63]}, {\"cell\": \"0.0230 a\", \"bbox\": [439, 50, 474, 63]}, {\"cell\": \"DRE suspicious\", \"bbox\": [35, 67, 101, 78]}, {\"cell\": \"117\", \"bbox\": [188, 67, 205, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 67, 307, 78]}, {\"cell\": \"27\", \"bbox\": [380, 67, 392, 78]}, {\"cell\": \"<0.0001 b\", \"bbox\": [436, 65, 477, 78]}, {\"cell\": \"Prostate volume (median, cc)\", \"bbox\": [8, 82, 127, 93]}, {\"cell\": \"45\", \"bbox\": [191, 82, 203, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [296, 82, 308, 93]}, {\"cell\": \"40\", \"bbox\": [380, 82, 392, 93]}, {\"cell\": \"0.0267 a\", \"bbox\": [439, 80, 474, 93]}, {\"cell\": \"No previous biopsies\", \"bbox\": [24, 97, 111, 108]}, {\"cell\": \"255\", \"bbox\": [188, 97, 205, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [293, 97, 310, 108]}, {\"cell\": \"88\", \"bbox\": [380, 97, 392, 108]}, {\"cell\": \"<0.0001 b\", \"bbox\": [436, 95, 477, 108]}, {\"cell\": \"PSA (median, ng/mL)\", \"bbox\": [22, 112, 113, 123]}, {\"cell\": \"7.2\", \"bbox\": [189, 112, 204, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [294, 112, 309, 123]}, {\"cell\": \"7.1\", \"bbox\": [379, 112, 393, 123]}, {\"cell\": \"0.0432 a\", \"bbox\": [439, 110, 474, 123]}, {\"cell\": \"PCA3 (median)\", \"bbox\": [35, 127, 100, 138]}, {\"cell\": \"24\", \"bbox\": [191, 127, 203, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [295, 127, 308, 138]}, {\"cell\": \"17\", \"bbox\": [380, 127, 392, 138]}, {\"cell\": \"<0.0001 a\", \"bbox\": [436, 125, 477, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PCA3 < 35 (<i>n</i> = 369)\", \"bbox\": [144, 142, 191, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [207, 139, 254, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Biopsy taken *\", \"bbox\": [37, 172, 99, 183]}, {\"cell\": \"128\", \"bbox\": [159, 172, 176, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 172, 239, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Prostate cancer upon biopsy\", \"bbox\": [11, 187, 125, 198]}, {\"cell\": \"30\", \"bbox\": [161, 187, 173, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [225, 187, 237, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3709735_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}874{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Factors</b></td><td colspan=\\\"2\\\"><b>Univariable analysis</b></td><td colspan=\\\"2\\\"><b>Multivariable analysis<sup>a</sup></b></td></tr><tr><td><b>OR (95 % CI)</b></td><td><b><i>p</i>-value</b></td><td><b>OR (95 % CI)</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>Male gender</td><td>4.57 (0.82–25.41)</td><td>0.083</td><td rowspan=\\\"7\\\">[EMPTY_CELL]</td><td rowspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>Age (years)</td><td>1.00 (0.94–1.07)</td><td>0.904</td></tr><tr><td>Loss to follow-up period (months)</td><td>1.03 (0.97–1.08)</td><td>0.371</td></tr><tr><td>Glaucoma family history (<i>n</i>)</td><td>3.31 (0.54–20.41)</td><td>0.196</td></tr><tr><td>Past medical history (<i>n</i>)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Diabetes mellitus</td><td>3.44 (0.31–38.48)</td><td>0.315</td></tr><tr><td> Hypertension</td><td>1.64 (0.17–15.98)</td><td>0.671</td></tr><tr><td>Baseline IOP (mm Hg)</td><td>1.74 (1.19–2.56)<sup>b</sup></td><td>0.005</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td rowspan=\\\"3\\\">0.037</td></tr><tr><td>MD (dB)</td><td>0.90 (0.46–1.76)</td><td>0.750</td></tr><tr><td>PSD (dB)</td><td>3.08 (0.40–23.53)</td><td>0.279</td></tr><tr><td>Average RNFL thickness (μm)</td><td>0.83 (0.75–0.92)</td><td>0.001<sup>b</sup></td><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td rowspan=\\\"4\\\">0.004</td></tr><tr><td>VCDR</td><td>3.14 (0.00–47.13)</td><td>0.851</td></tr><tr><td>Central corneal thickness (μm)</td><td>1.00 (0.97–1.02)<sup>b</sup></td><td>0.766</td></tr><tr><td>Refractive error (SE, diopter)</td><td>0.70 (0.49–1.00)<sup>b</sup></td><td>0.053</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Factors</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>Univariable analysis</b>\", \"bbox\": [165, 4, 229, 13]}, {\"cell\": \"<b>Multivariable analysis<sup>a</sup></b>\", \"bbox\": [352, 2, 423, 13]}, {\"cell\": \"<b>OR (95 % CI)</b>\", \"bbox\": [165, 17, 208, 27]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [273, 17, 299, 27]}, {\"cell\": \"<b>OR (95 % CI)</b>\", \"bbox\": [352, 17, 394, 27]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"Male gender\", \"bbox\": [1, 30, 43, 40]}, {\"cell\": \"4.57 (0.82–25.41)\", \"bbox\": [165, 30, 220, 40]}, {\"cell\": \"0.083\", \"bbox\": [273, 30, 292, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Age (years)\", \"bbox\": [1, 44, 38, 54]}, {\"cell\": \"1.00 (0.94–1.07)\", \"bbox\": [165, 44, 216, 54]}, {\"cell\": \"0.904\", \"bbox\": [273, 44, 292, 54]}, {\"cell\": \"Loss to follow-up period (months)\", \"bbox\": [1, 58, 112, 68]}, {\"cell\": \"1.03 (0.97–1.08)\", \"bbox\": [165, 58, 216, 68]}, {\"cell\": \"0.371\", \"bbox\": [273, 58, 292, 68]}, {\"cell\": \"Glaucoma family history (<i>n</i>)\", \"bbox\": [1, 72, 90, 82]}, {\"cell\": \"3.31 (0.54–20.41)\", \"bbox\": [165, 72, 220, 82]}, {\"cell\": \"0.196\", \"bbox\": [273, 72, 292, 82]}, {\"cell\": \"Past medical history (<i>n</i>)\", \"bbox\": [1, 86, 77, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Diabetes mellitus\", \"bbox\": [8, 100, 65, 110]}, {\"cell\": \"3.44 (0.31–38.48)\", \"bbox\": [165, 100, 220, 110]}, {\"cell\": \"0.315\", \"bbox\": [273, 100, 292, 110]}, {\"cell\": \" Hypertension\", \"bbox\": [8, 114, 53, 124]}, {\"cell\": \"1.64 (0.17–15.98)\", \"bbox\": [165, 114, 220, 124]}, {\"cell\": \"0.671\", \"bbox\": [273, 114, 292, 124]}, {\"cell\": \"Baseline IOP (mm Hg)\", \"bbox\": [1, 128, 73, 138]}, {\"cell\": \"1.74 (1.19–2.56)<sup>b</sup>\", \"bbox\": [165, 127, 220, 138]}, {\"cell\": \"0.005\", \"bbox\": [273, 128, 292, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 127, 406, 138]}, {\"cell\": \"0.037\", \"bbox\": [459, 128, 478, 138]}, {\"cell\": \"MD (dB)\", \"bbox\": [1, 142, 29, 152]}, {\"cell\": \"0.90 (0.46–1.76)\", \"bbox\": [165, 142, 216, 152]}, {\"cell\": \"0.750\", \"bbox\": [273, 142, 292, 152]}, {\"cell\": \"PSD (dB)\", \"bbox\": [1, 156, 30, 166]}, {\"cell\": \"3.08 (0.40–23.53)\", \"bbox\": [165, 156, 220, 166]}, {\"cell\": \"0.279\", \"bbox\": [273, 156, 292, 166]}, {\"cell\": \"Average RNFL thickness (μm)\", \"bbox\": [1, 170, 96, 180]}, {\"cell\": \"0.83 (0.75–0.92)\", \"bbox\": [165, 170, 216, 180]}, {\"cell\": \"0.001<sup>b</sup>\", \"bbox\": [273, 169, 295, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [352, 169, 406, 180]}, {\"cell\": \"0.004\", \"bbox\": [459, 170, 478, 180]}, {\"cell\": \"VCDR\", \"bbox\": [1, 184, 20, 194]}, {\"cell\": \"3.14 (0.00–47.13)\", \"bbox\": [165, 184, 220, 194]}, {\"cell\": \"0.851\", \"bbox\": [273, 184, 292, 194]}, {\"cell\": \"Central corneal thickness (μm)\", \"bbox\": [1, 198, 99, 208]}, {\"cell\": \"1.00 (0.97–1.02)<sup>b</sup>\", \"bbox\": [165, 197, 220, 208]}, {\"cell\": \"0.766\", \"bbox\": [273, 198, 292, 208]}, {\"cell\": \"Refractive error (SE, diopter)\", \"bbox\": [1, 212, 91, 222]}, {\"cell\": \"0.70 (0.49–1.00)<sup>b</sup>\", \"bbox\": [165, 211, 220, 222]}, {\"cell\": \"0.053\", \"bbox\": [273, 212, 292, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4880870_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}875{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Happy</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\">80-100 ms</td><td colspan=\\\"4\\\">120-140 ms</td><td colspan=\\\"4\\\">200-220 ms</td></tr><tr><td>Band</td><td>BP</td><td>EP</td><td><i>d</i><sub>i</sub></td><td>CP</td><td><i>R</i><sup>2</sup></td><td>EP</td><td><i>d</i><sub>i</sub></td><td>CP</td><td><i>R</i><sup>2</sup></td><td>EP</td><td>[EMPTY_CELL]</td><td>CP</td><td><i>R</i><sup>2</sup></td></tr><tr><td>θ<sub>1</sub></td><td>2.08 (0.02)</td><td>1.57(0.06)</td><td>0.38(0.26)</td><td>0.77(0.55)</td><td>.02</td><td>1.62 (0.06)</td><td>0.25(0.27)</td><td>1.10(0.56)</td><td>.01</td><td>1.68 (0.05)</td><td>[EMPTY_CELL]</td><td>1.31(0.50)</td><td>.01</td></tr><tr><td>θ<sub>2</sub></td><td>2.06 (0.02)</td><td>1.82 (0.05)</td><td>0.39(0.22)</td><td>1.01(0.44)</td><td>.03</td><td>1.87 (0.05)</td><td>0.41(0.21)</td><td>1.02(0.43)</td><td>.03</td><td>1.78 (0.06)</td><td>[EMPTY_CELL]</td><td>0.85(0.48)</td><td>.03</td></tr><tr><td>θ<sub>3</sub></td><td>2.09 (0.02)</td><td>2.07 (0.05)</td><td>0.37(0.17)</td><td>1.30**(0.37)</td><td>.04</td><td>2.13 (0.05)</td><td>0.38(0.18)</td><td>1.33**(0.37)</td><td>.04</td><td>1.99 (0.05)</td><td>[EMPTY_CELL]</td><td>1.05(0.37)</td><td>.05</td></tr><tr><td>α<sub>1</sub></td><td>2.32 (0.04)</td><td>2.15 (0.04)</td><td>0.25(0.11)</td><td>1.57**(0.26)</td><td>.04</td><td>2.22 (0.04)</td><td>0.26(0.10)</td><td>1.62**(0.24)</td><td>.05</td><td>1.94 (0.04)</td><td>[EMPTY_CELL]</td><td>1.26**(0.24)</td><td>.06</td></tr><tr><td>α<sub>2</sub></td><td>2.42 (0.03)</td><td>2.02 (0.04)</td><td>0.47**(0.11)</td><td>0.89*(0.28)</td><td>.12</td><td>2.04 (0.04)</td><td>0.39**(0.10)</td><td>1.10**(0.25)</td><td>.11</td><td>1.34(0.05)</td><td>[EMPTY_CELL]</td><td>0.73(0.30)</td><td>.03</td></tr><tr><td>β<sub>1</sub></td><td>2.24 (0.02)</td><td>1.74 (0.05)</td><td>0.67**(0.16)</td><td>0.24(0.36)</td><td>.13</td><td>1.68 (0.04)</td><td>0.66**(0.16)</td><td>0.20(0.37)</td><td>.12</td><td>0.56 (0.05)</td><td>[EMPTY_CELL]</td><td>-0.93(0.41)</td><td>.10</td></tr><tr><td>β<sub>2</sub></td><td>2.12 (0.02)</td><td>1.29 (0.05)</td><td>0.66**(0.19)</td><td>-0.12(0.40)</td><td>.09</td><td>1.09 (0.05)</td><td>1.10**(0.21)</td><td>-1.24(0.45)</td><td>.18</td><td>0.01 (0.04)</td><td>[EMPTY_CELL]</td><td>-1.36**(0.38)</td><td>.10</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Happy</b>\", \"bbox\": [7, 8, 30, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"80-100 ms\", \"bbox\": [70, 23, 105, 33]}, {\"cell\": \"120-140 ms\", \"bbox\": [199, 23, 238, 33]}, {\"cell\": \"200-220 ms\", \"bbox\": [328, 23, 367, 33]}, {\"cell\": \"Band\", \"bbox\": [9, 37, 28, 47]}, {\"cell\": \"BP\", \"bbox\": [46, 37, 57, 47]}, {\"cell\": \"EP\", \"bbox\": [78, 37, 89, 47]}, {\"cell\": \"<i>d</i><sub>i</sub>\", \"bbox\": [112, 37, 119, 49]}, {\"cell\": \"CP\", \"bbox\": [142, 37, 154, 47]}, {\"cell\": \"<i>R</i><sup>2</sup>\", \"bbox\": [176, 37, 185, 45]}, {\"cell\": \"EP\", \"bbox\": [207, 37, 218, 47]}, {\"cell\": \"<i>d</i><sub>i</sub>\", \"bbox\": [241, 37, 249, 49]}, {\"cell\": \"CP\", \"bbox\": [271, 37, 283, 47]}, {\"cell\": \"<i>R</i><sup>2</sup>\", \"bbox\": [305, 37, 314, 45]}, {\"cell\": \"EP\", \"bbox\": [336, 37, 347, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 37, 378, 49]}, {\"cell\": \"CP\", \"bbox\": [401, 37, 412, 47]}, {\"cell\": \"<i>R</i><sup>2</sup>\", \"bbox\": [434, 37, 443, 45]}, {\"cell\": \"θ<sub>1</sub>\", \"bbox\": [15, 51, 23, 63]}, {\"cell\": \"2.08 (0.02)\", \"bbox\": [41, 51, 62, 71]}, {\"cell\": \"1.57(0.06)\", \"bbox\": [73, 51, 94, 71]}, {\"cell\": \"0.38(0.26)\", \"bbox\": [105, 51, 126, 71]}, {\"cell\": \"0.77(0.55)\", \"bbox\": [138, 51, 159, 71]}, {\"cell\": \".02\", \"bbox\": [175, 51, 186, 61]}, {\"cell\": \"1.62 (0.06)\", \"bbox\": [202, 51, 223, 71]}, {\"cell\": \"0.25(0.27)\", \"bbox\": [235, 51, 255, 71]}, {\"cell\": \"1.10(0.56)\", \"bbox\": [267, 51, 288, 71]}, {\"cell\": \".01\", \"bbox\": [304, 51, 315, 61]}, {\"cell\": \"1.68 (0.05)\", \"bbox\": [331, 51, 352, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 51, 385, 71]}, {\"cell\": \"1.31(0.50)\", \"bbox\": [396, 51, 417, 71]}, {\"cell\": \".01\", \"bbox\": [433, 51, 445, 61]}, {\"cell\": \"θ<sub>2</sub>\", \"bbox\": [15, 76, 23, 87]}, {\"cell\": \"2.06 (0.02)\", \"bbox\": [41, 76, 62, 95]}, {\"cell\": \"1.82 (0.05)\", \"bbox\": [74, 76, 95, 95]}, {\"cell\": \"0.39(0.22)\", \"bbox\": [105, 76, 126, 95]}, {\"cell\": \"1.01(0.44)\", \"bbox\": [138, 76, 159, 95]}, {\"cell\": \".03\", \"bbox\": [175, 76, 186, 85]}, {\"cell\": \"1.87 (0.05)\", \"bbox\": [202, 76, 223, 95]}, {\"cell\": \"0.41(0.21)\", \"bbox\": [235, 76, 255, 95]}, {\"cell\": \"1.02(0.43)\", \"bbox\": [267, 76, 288, 95]}, {\"cell\": \".03\", \"bbox\": [304, 76, 315, 85]}, {\"cell\": \"1.78 (0.06)\", \"bbox\": [331, 76, 352, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 76, 385, 95]}, {\"cell\": \"0.85(0.48)\", \"bbox\": [396, 76, 417, 95]}, {\"cell\": \".03\", \"bbox\": [433, 76, 445, 85]}, {\"cell\": \"θ<sub>3</sub>\", \"bbox\": [15, 100, 23, 112]}, {\"cell\": \"2.09 (0.02)\", \"bbox\": [41, 100, 62, 120]}, {\"cell\": \"2.07 (0.05)\", \"bbox\": [73, 100, 94, 120]}, {\"cell\": \"0.37(0.17)\", \"bbox\": [105, 100, 126, 120]}, {\"cell\": \"1.30**(0.37)\", \"bbox\": [137, 100, 159, 120]}, {\"cell\": \".04\", \"bbox\": [175, 100, 186, 110]}, {\"cell\": \"2.13 (0.05)\", \"bbox\": [202, 100, 223, 120]}, {\"cell\": \"0.38(0.18)\", \"bbox\": [235, 100, 255, 120]}, {\"cell\": \"1.33**(0.37)\", \"bbox\": [266, 100, 288, 120]}, {\"cell\": \".04\", \"bbox\": [304, 100, 315, 110]}, {\"cell\": \"1.99 (0.05)\", \"bbox\": [331, 100, 352, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 100, 385, 120]}, {\"cell\": \"1.05(0.37)\", \"bbox\": [396, 100, 417, 120]}, {\"cell\": \".05\", \"bbox\": [433, 100, 445, 110]}, {\"cell\": \"α<sub>1</sub>\", \"bbox\": [15, 124, 23, 136]}, {\"cell\": \"2.32 (0.04)\", \"bbox\": [42, 124, 63, 144]}, {\"cell\": \"2.15 (0.04)\", \"bbox\": [73, 124, 94, 144]}, {\"cell\": \"0.25(0.11)\", \"bbox\": [105, 124, 126, 144]}, {\"cell\": \"1.57**(0.26)\", \"bbox\": [137, 124, 159, 144]}, {\"cell\": \".04\", \"bbox\": [175, 124, 186, 134]}, {\"cell\": \"2.22 (0.04)\", \"bbox\": [202, 124, 223, 144]}, {\"cell\": \"0.26(0.10)\", \"bbox\": [235, 124, 255, 144]}, {\"cell\": \"1.62**(0.24)\", \"bbox\": [266, 124, 288, 144]}, {\"cell\": \".05\", \"bbox\": [304, 124, 315, 134]}, {\"cell\": \"1.94 (0.04)\", \"bbox\": [331, 124, 352, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 124, 385, 144]}, {\"cell\": \"1.26**(0.24)\", \"bbox\": [396, 124, 417, 144]}, {\"cell\": \".06\", \"bbox\": [433, 124, 445, 134]}, {\"cell\": \"α<sub>2</sub>\", \"bbox\": [15, 149, 23, 160]}, {\"cell\": \"2.42 (0.03)\", \"bbox\": [41, 149, 62, 168]}, {\"cell\": \"2.02 (0.04)\", \"bbox\": [73, 149, 94, 168]}, {\"cell\": \"0.47**(0.11)\", \"bbox\": [105, 149, 127, 168]}, {\"cell\": \"0.89*(0.28)\", \"bbox\": [138, 149, 159, 168]}, {\"cell\": \".12\", \"bbox\": [175, 149, 186, 158]}, {\"cell\": \"2.04 (0.04)\", \"bbox\": [202, 149, 223, 168]}, {\"cell\": \"0.39**(0.10)\", \"bbox\": [234, 149, 256, 168]}, {\"cell\": \"1.10**(0.25)\", \"bbox\": [266, 149, 288, 168]}, {\"cell\": \".11\", \"bbox\": [304, 149, 315, 158]}, {\"cell\": \"1.34(0.05)\", \"bbox\": [331, 149, 352, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [364, 149, 385, 168]}, {\"cell\": \"0.73(0.30)\", \"bbox\": [396, 149, 417, 168]}, {\"cell\": \".03\", \"bbox\": [433, 149, 445, 158]}, {\"cell\": \"β<sub>1</sub>\", \"bbox\": [15, 173, 23, 185]}, {\"cell\": \"2.24 (0.02)\", \"bbox\": [42, 173, 63, 193]}, {\"cell\": \"1.74 (0.05)\", \"bbox\": [73, 173, 94, 193]}, {\"cell\": \"0.67**(0.16)\", \"bbox\": [105, 173, 127, 193]}, {\"cell\": \"0.24(0.36)\", \"bbox\": [138, 173, 159, 193]}, {\"cell\": \".13\", \"bbox\": [175, 173, 186, 183]}, {\"cell\": \"1.68 (0.04)\", \"bbox\": [202, 173, 223, 193]}, {\"cell\": \"0.66**(0.16)\", \"bbox\": [234, 173, 256, 193]}, {\"cell\": \"0.20(0.37)\", \"bbox\": [267, 173, 288, 193]}, {\"cell\": \".12\", \"bbox\": [304, 173, 315, 183]}, {\"cell\": \"0.56 (0.05)\", \"bbox\": [331, 173, 352, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [363, 173, 385, 193]}, {\"cell\": \"-0.93(0.41)\", \"bbox\": [396, 173, 417, 193]}, {\"cell\": \".10\", \"bbox\": [433, 173, 445, 183]}, {\"cell\": \"β<sub>2</sub>\", \"bbox\": [15, 197, 23, 209]}, {\"cell\": \"2.12 (0.02)\", \"bbox\": [42, 197, 63, 217]}, {\"cell\": \"1.29 (0.05)\", \"bbox\": [73, 197, 94, 217]}, {\"cell\": \"0.66**(0.19)\", \"bbox\": [105, 197, 127, 217]}, {\"cell\": \"-0.12(0.40)\", \"bbox\": [138, 197, 159, 217]}, {\"cell\": \".09\", \"bbox\": [175, 197, 186, 207]}, {\"cell\": \"1.09 (0.05)\", \"bbox\": [202, 197, 223, 217]}, {\"cell\": \"1.10**(0.21)\", \"bbox\": [234, 197, 256, 217]}, {\"cell\": \"-1.24(0.45)\", \"bbox\": [267, 197, 288, 217]}, {\"cell\": \".18\", \"bbox\": [304, 197, 315, 207]}, {\"cell\": \"0.01 (0.04)\", \"bbox\": [331, 197, 352, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [363, 197, 385, 217]}, {\"cell\": \"-1.36**(0.38)\", \"bbox\": [394, 197, 419, 217]}, {\"cell\": \".10\", \"bbox\": [433, 197, 445, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5279858_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}876{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Decision to delay seeking medical help</b></td><td colspan=\\\"2\\\"><b>Ever provideda faecal sample</b></td><td colspan=\\\"2\\\"><b>Invasive bowel screeningtest in past 5 years</b></td></tr><tr><td><b>Variable</b></td><td><b>Odds Ratio (95% CI)</b></td><td><b><i>p</i> value</b></td><td><b>Odds Ratio (95% CI)</b></td><td><b><i>p</i> value</b></td><td><b>Odds Ratio (95% CI)</b></td><td><b><i>p</i> value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1.22 (0.62–2.39)</td><td>.560</td><td>1.80 (0.98–3.31)</td><td>.059</td><td>1.84 (0.85–3.97)</td><td>.123</td></tr><tr><td>[EMPTY_CELL]</td><td>1.00 (0.97–1.04)</td><td>.843</td><td>1.05 (1.02–1.08)</td><td>.002</td><td>1.06 (1.02–1.10)</td><td>.002</td></tr><tr><td>[EMPTY_CELL]</td><td>1.31 (0.68–2.54)</td><td>.418</td><td>0.51 (0.27–0.96)</td><td>.038</td><td>0.52 (0.22–1.22)</td><td>.133</td></tr><tr><td>[EMPTY_CELL]</td><td>1.06 (0.43–2.62)</td><td>.906</td><td>0.51 (0.23–1.16)</td><td>.107</td><td>1.76 (0.71–4.36)</td><td>.225</td></tr><tr><td>[EMPTY_CELL]</td><td>0.47 (0.24–0.95)</td><td>.035</td><td>2.16 (1.21–3.85)</td><td>.009</td><td>6.79 (3.57–12.94)</td><td>.000</td></tr><tr><td>[EMPTY_CELL]</td><td>1.19 (1.00–1.42)</td><td>.046</td><td>0.99 (0.85–1.15)</td><td>.868</td><td>1.14 (0.93–1.38)</td><td>.206</td></tr><tr><td>[EMPTY_CELL]</td><td>1.53 (1.10–2.13)</td><td>.012</td><td>0.89 (0.64–1.24)</td><td>.484</td><td>0.92 (0.60–1.42)</td><td>.718</td></tr><tr><td>[EMPTY_CELL]</td><td>1.49 (0.97–2.29)</td><td>.070</td><td>1.73 (1.10–2.70)</td><td>.017</td><td>1.60 (0.92–2.77)</td><td>.097</td></tr><tr><td>[EMPTY_CELL]</td><td>0.91 (0.57–1.46)</td><td>.698</td><td>0.66 (0.42–1.04)</td><td>.070</td><td>0.41 (0.22–0.76)</td><td>.004</td></tr><tr><td>[EMPTY_CELL]</td><td>1.47 (0.88–2.45)</td><td>.142</td><td>0.75 (0.46–1.24)</td><td>.265</td><td>1.12 (0.58–2.17)</td><td>.734</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Decision to delay seeking medical help</b>\", \"bbox\": [137, 4, 265, 13]}, {\"cell\": \"<b>Ever provideda faecal sample</b>\", \"bbox\": [278, 4, 329, 22]}, {\"cell\": \"<b>Invasive bowel screeningtest in past 5 years</b>\", \"bbox\": [385, 4, 468, 22]}, {\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 26, 27, 36]}, {\"cell\": \"<b>Odds Ratio (95% CI)</b>\", \"bbox\": [137, 26, 203, 36]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [228, 26, 253, 36]}, {\"cell\": \"<b>Odds Ratio (95% CI)</b>\", \"bbox\": [278, 26, 343, 36]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [352, 26, 377, 36]}, {\"cell\": \"<b>Odds Ratio (95% CI)</b>\", \"bbox\": [385, 26, 451, 36]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [459, 26, 484, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 16, 49]}, {\"cell\": \"1.22 (0.62–2.39)\", \"bbox\": [137, 39, 188, 49]}, {\"cell\": \".560\", \"bbox\": [228, 39, 242, 49]}, {\"cell\": \"1.80 (0.98–3.31)\", \"bbox\": [278, 39, 329, 49]}, {\"cell\": \".059\", \"bbox\": [352, 39, 366, 49]}, {\"cell\": \"1.84 (0.85–3.97)\", \"bbox\": [385, 39, 436, 49]}, {\"cell\": \".123\", \"bbox\": [459, 39, 474, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 53, 15, 63]}, {\"cell\": \"1.00 (0.97–1.04)\", \"bbox\": [137, 53, 188, 63]}, {\"cell\": \".843\", \"bbox\": [228, 53, 242, 63]}, {\"cell\": \"1.05 (1.02–1.08)\", \"bbox\": [278, 53, 329, 63]}, {\"cell\": \".002\", \"bbox\": [352, 53, 366, 63]}, {\"cell\": \"1.06 (1.02–1.10)\", \"bbox\": [385, 53, 436, 63]}, {\"cell\": \".002\", \"bbox\": [459, 53, 474, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 66, 119, 77]}, {\"cell\": \"1.31 (0.68–2.54)\", \"bbox\": [137, 67, 188, 77]}, {\"cell\": \".418\", \"bbox\": [228, 67, 242, 77]}, {\"cell\": \"0.51 (0.27–0.96)\", \"bbox\": [278, 67, 329, 77]}, {\"cell\": \".038\", \"bbox\": [352, 67, 366, 77]}, {\"cell\": \"0.52 (0.22–1.22)\", \"bbox\": [385, 67, 436, 77]}, {\"cell\": \".133\", \"bbox\": [459, 67, 474, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 122, 91]}, {\"cell\": \"1.06 (0.43–2.62)\", \"bbox\": [137, 81, 188, 91]}, {\"cell\": \".906\", \"bbox\": [228, 81, 242, 91]}, {\"cell\": \"0.51 (0.23–1.16)\", \"bbox\": [278, 81, 329, 91]}, {\"cell\": \".107\", \"bbox\": [352, 81, 366, 91]}, {\"cell\": \"1.76 (0.71–4.36)\", \"bbox\": [385, 81, 436, 91]}, {\"cell\": \".225\", \"bbox\": [459, 81, 474, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 94, 77, 105]}, {\"cell\": \"0.47 (0.24–0.95)\", \"bbox\": [137, 95, 188, 105]}, {\"cell\": \".035\", \"bbox\": [228, 95, 242, 105]}, {\"cell\": \"2.16 (1.21–3.85)\", \"bbox\": [278, 95, 329, 105]}, {\"cell\": \".009\", \"bbox\": [352, 95, 366, 105]}, {\"cell\": \"6.79 (3.57–12.94)\", \"bbox\": [385, 95, 440, 105]}, {\"cell\": \".000\", \"bbox\": [459, 95, 474, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 109, 129, 119]}, {\"cell\": \"1.19 (1.00–1.42)\", \"bbox\": [137, 109, 188, 119]}, {\"cell\": \".046\", \"bbox\": [228, 109, 242, 119]}, {\"cell\": \"0.99 (0.85–1.15)\", \"bbox\": [278, 109, 329, 119]}, {\"cell\": \".868\", \"bbox\": [352, 109, 366, 119]}, {\"cell\": \"1.14 (0.93–1.38)\", \"bbox\": [385, 109, 436, 119]}, {\"cell\": \".206\", \"bbox\": [459, 109, 474, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 72, 133]}, {\"cell\": \"1.53 (1.10–2.13)\", \"bbox\": [137, 123, 188, 133]}, {\"cell\": \".012\", \"bbox\": [228, 123, 242, 133]}, {\"cell\": \"0.89 (0.64–1.24)\", \"bbox\": [278, 123, 329, 133]}, {\"cell\": \".484\", \"bbox\": [352, 123, 366, 133]}, {\"cell\": \"0.92 (0.60–1.42)\", \"bbox\": [385, 123, 436, 133]}, {\"cell\": \".718\", \"bbox\": [459, 123, 474, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 137, 69, 147]}, {\"cell\": \"1.49 (0.97–2.29)\", \"bbox\": [137, 137, 188, 147]}, {\"cell\": \".070\", \"bbox\": [228, 137, 242, 147]}, {\"cell\": \"1.73 (1.10–2.70)\", \"bbox\": [278, 137, 329, 147]}, {\"cell\": \".017\", \"bbox\": [352, 137, 366, 147]}, {\"cell\": \"1.60 (0.92–2.77)\", \"bbox\": [385, 137, 436, 147]}, {\"cell\": \".097\", \"bbox\": [459, 137, 474, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 151, 73, 161]}, {\"cell\": \"0.91 (0.57–1.46)\", \"bbox\": [137, 151, 188, 161]}, {\"cell\": \".698\", \"bbox\": [228, 151, 242, 161]}, {\"cell\": \"0.66 (0.42–1.04)\", \"bbox\": [278, 151, 329, 161]}, {\"cell\": \".070\", \"bbox\": [352, 151, 366, 161]}, {\"cell\": \"0.41 (0.22–0.76)\", \"bbox\": [385, 151, 436, 161]}, {\"cell\": \".004\", \"bbox\": [459, 151, 474, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 165, 63, 175]}, {\"cell\": \"1.47 (0.88–2.45)\", \"bbox\": [137, 165, 188, 175]}, {\"cell\": \".142\", \"bbox\": [228, 165, 242, 175]}, {\"cell\": \"0.75 (0.46–1.24)\", \"bbox\": [278, 165, 329, 175]}, {\"cell\": \".265\", \"bbox\": [352, 165, 366, 175]}, {\"cell\": \"1.12 (0.58–2.17)\", \"bbox\": [385, 165, 436, 175]}, {\"cell\": \".734\", \"bbox\": [459, 165, 474, 175]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5932793_005_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}877{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Individuals with cough</b></td><td><b>Others</b></td><td><b><i>p</i>-values</b></td></tr></thead><tbody><tr><td>Female gender (%)</td><td>[EMPTY_CELL]</td><td>51.1</td><td><0.05</td></tr><tr><td>Age (years)</td><td>[EMPTY_CELL]</td><td>48.8</td><td><0.001</td></tr><tr><td>Height (cm)</td><td>[EMPTY_CELL]</td><td>172</td><td><0.01</td></tr><tr><td>Weight (kg)</td><td>[EMPTY_CELL]</td><td>75.7</td><td>n.s.</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>[EMPTY_CELL]</td><td>25.5</td><td><0.001</td></tr><tr><td>Nasal polyps (%)</td><td>[EMPTY_CELL]</td><td>2.6</td><td>n.s.</td></tr><tr><td>Ever smoked (%)</td><td>[EMPTY_CELL]</td><td>43.5</td><td>0.057</td></tr><tr><td>Regularly smoking (%)</td><td>[EMPTY_CELL]</td><td>15.9</td><td><0.001</td></tr><tr><td>Smoking (pack-years)</td><td>[EMPTY_CELL]</td><td>6.0</td><td><0.001</td></tr><tr><td>Daily nasal blockage (%)</td><td>[EMPTY_CELL]</td><td>8.8</td><td><0.001</td></tr><tr><td>Daily nasal secretion (%)</td><td>[EMPTY_CELL]</td><td>5.4</td><td><0.0001</td></tr><tr><td>Daily sneezing (%)</td><td>[EMPTY_CELL]</td><td>3.9</td><td><0.01</td></tr><tr><td>Symptoms of asthma (%)</td><td>[EMPTY_CELL]</td><td>8.2</td><td><0.0001</td></tr><tr><td>Diabetes (%)</td><td>[EMPTY_CELL]</td><td>4.2</td><td>0.052</td></tr><tr><td>Sense of smell (SOIT) correct answers of 16</td><td>[EMPTY_CELL]</td><td>13.8</td><td>n.s.</td></tr><tr><td>Not capable to identify peppermint (%)</td><td>[EMPTY_CELL]</td><td>12</td><td><0.01</td></tr><tr><td>Odor sensitivity (%)</td><td>[EMPTY_CELL]</td><td>31.6</td><td><0.001</td></tr><tr><td>Aspirin intolerance (%)</td><td>[EMPTY_CELL]</td><td>1.9</td><td><0.05</td></tr><tr><td>Cold air sensitivity (%)</td><td>[EMPTY_CELL]</td><td>13.4</td><td><0.0001</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 6, 35, 15]}, {\"cell\": \"<b>Individuals with cough</b>\", \"bbox\": [115, 6, 157, 27]}, {\"cell\": \"<b>Others</b>\", \"bbox\": [174, 6, 200, 15]}, {\"cell\": \"<b><i>p</i>-values</b>\", \"bbox\": [217, 6, 249, 15]}, {\"cell\": \"Female gender (%)\", \"bbox\": [1, 37, 66, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 37, 134, 46]}, {\"cell\": \"51.1\", \"bbox\": [177, 37, 194, 46]}, {\"cell\": \"<0.05\", \"bbox\": [217, 37, 240, 46]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 48, 40, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 48, 134, 57]}, {\"cell\": \"48.8\", \"bbox\": [177, 48, 194, 57]}, {\"cell\": \"<0.001\", \"bbox\": [217, 48, 243, 57]}, {\"cell\": \"Height (cm)\", \"bbox\": [1, 60, 41, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [114, 60, 128, 69]}, {\"cell\": \"172\", \"bbox\": [173, 60, 187, 69]}, {\"cell\": \"<0.01\", \"bbox\": [217, 60, 239, 69]}, {\"cell\": \"Weight (kg)\", \"bbox\": [1, 71, 40, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 71, 134, 80]}, {\"cell\": \"75.7\", \"bbox\": [177, 71, 194, 80]}, {\"cell\": \"n.s.\", \"bbox\": [217, 71, 231, 80]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [1, 81, 43, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 83, 134, 92]}, {\"cell\": \"25.5\", \"bbox\": [177, 83, 194, 92]}, {\"cell\": \"<0.001\", \"bbox\": [217, 83, 243, 92]}, {\"cell\": \"Nasal polyps (%)\", \"bbox\": [1, 94, 58, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 94, 134, 103]}, {\"cell\": \"2.6\", \"bbox\": [181, 94, 194, 103]}, {\"cell\": \"n.s.\", \"bbox\": [217, 94, 231, 103]}, {\"cell\": \"Ever smoked (%)\", \"bbox\": [1, 106, 60, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 106, 134, 115]}, {\"cell\": \"43.5\", \"bbox\": [177, 106, 194, 115]}, {\"cell\": \"0.057\", \"bbox\": [217, 106, 238, 115]}, {\"cell\": \"Regularly smoking (%)\", \"bbox\": [1, 117, 77, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 117, 134, 126]}, {\"cell\": \"15.9\", \"bbox\": [177, 117, 194, 126]}, {\"cell\": \"<0.001\", \"bbox\": [217, 117, 243, 126]}, {\"cell\": \"Smoking (pack-years)\", \"bbox\": [1, 129, 73, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 129, 134, 138]}, {\"cell\": \"6.0\", \"bbox\": [181, 129, 194, 138]}, {\"cell\": \"<0.001\", \"bbox\": [217, 129, 243, 138]}, {\"cell\": \"Daily nasal blockage (%)\", \"bbox\": [1, 140, 83, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 140, 134, 149]}, {\"cell\": \"8.8\", \"bbox\": [181, 140, 194, 149]}, {\"cell\": \"<0.001\", \"bbox\": [217, 140, 243, 149]}, {\"cell\": \"Daily nasal secretion (%)\", \"bbox\": [1, 152, 85, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 152, 134, 161]}, {\"cell\": \"5.4\", \"bbox\": [181, 152, 194, 161]}, {\"cell\": \"<0.0001\", \"bbox\": [217, 152, 248, 161]}, {\"cell\": \"Daily sneezing (%)\", \"bbox\": [1, 163, 64, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 163, 134, 172]}, {\"cell\": \"3.9\", \"bbox\": [181, 163, 194, 172]}, {\"cell\": \"<0.01\", \"bbox\": [217, 163, 239, 172]}, {\"cell\": \"Symptoms of asthma (%)\", \"bbox\": [1, 175, 88, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 175, 134, 184]}, {\"cell\": \"8.2\", \"bbox\": [181, 175, 194, 184]}, {\"cell\": \"<0.0001\", \"bbox\": [217, 175, 248, 184]}, {\"cell\": \"Diabetes (%)\", \"bbox\": [1, 186, 46, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 186, 134, 195]}, {\"cell\": \"4.2\", \"bbox\": [181, 186, 194, 195]}, {\"cell\": \"0.052\", \"bbox\": [217, 186, 238, 195]}, {\"cell\": \"Sense of smell (SOIT) correct answers of 16\", \"bbox\": [1, 198, 75, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 198, 134, 207]}, {\"cell\": \"13.8\", \"bbox\": [177, 198, 194, 207]}, {\"cell\": \"n.s.\", \"bbox\": [217, 198, 231, 207]}, {\"cell\": \"Not capable to identify peppermint (%)\", \"bbox\": [0, 223, 78, 242]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 223, 128, 232]}, {\"cell\": \"12\", \"bbox\": [177, 223, 187, 232]}, {\"cell\": \"<0.01\", \"bbox\": [217, 223, 239, 232]}, {\"cell\": \"Odor sensitivity (%)\", \"bbox\": [1, 248, 68, 257]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 248, 134, 257]}, {\"cell\": \"31.6\", \"bbox\": [177, 248, 194, 257]}, {\"cell\": \"<0.001\", \"bbox\": [217, 248, 243, 257]}, {\"cell\": \"Aspirin intolerance (%)\", \"bbox\": [1, 259, 78, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [122, 259, 134, 268]}, {\"cell\": \"1.9\", \"bbox\": [181, 259, 194, 268]}, {\"cell\": \"<0.05\", \"bbox\": [217, 259, 240, 268]}, {\"cell\": \"Cold air sensitivity (%)\", \"bbox\": [1, 271, 77, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 271, 134, 280]}, {\"cell\": \"13.4\", \"bbox\": [177, 271, 194, 280]}, {\"cell\": \"<0.0001\", \"bbox\": [217, 271, 248, 280]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3429028_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}878{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>TAV Control</b></td><td><b>TAV Turner</b></td><td><b>BAV Turner</b></td><td><b>Control-TAV Turner</b></td><td><b>Control-BAV Turner</b></td><td><b>TAV- BAV Turner</b></td></tr><tr><td><b>(<i>n</i> = 38)</b></td><td><b>(<i>n</i> = 39)</b></td><td><b>(<i>n</i> = 16)</b></td><td><b><i>p</i></b></td><td><b><i>p</i></b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>Age (y)</td><td>34 (14)</td><td>30 (12)</td><td>25 (9)</td><td>0.241</td><td><b>0.008</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Length (cm)</td><td>166 (8)</td><td>154 (8)</td><td>152 (6)</td><td><b>0.000</b></td><td><b>0.000</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Weight (kg)</td><td>61 (11)</td><td>58 (12)</td><td>55 (8)</td><td>0.329</td><td>0.099</td><td>[EMPTY_CELL]</td></tr><tr><td>Heart Rate (bpm)</td><td>69 (10)</td><td>78 (14)</td><td>83 (8)</td><td><b>0.002</b></td><td><b>0.000</b></td><td>[EMPTY_CELL]</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>21.8 (3.1)</td><td>24.4 (4.8)</td><td>23.9 (2.8)</td><td><b>0.006</b></td><td><b>0.032</b></td><td>[EMPTY_CELL]</td></tr><tr><td>BSA (mosteller)</td><td>1.67 (0.17)</td><td>1.6 (0.2)</td><td>1.5 (0.1)</td><td><b>0.016</b></td><td><b>0.007</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Systolic BP (mmHg)</td><td>118 (14)</td><td>123 (16)</td><td>118 (14)</td><td>0.151</td><td>0.982</td><td>[EMPTY_CELL]</td></tr><tr><td>Diastolic BP (mmHg)</td><td>70 (9)</td><td>82 (14)</td><td>80 (9)</td><td><b>0.000</b></td><td><b>0.002</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Aortic arch length (mm)</td><td>97 (13)</td><td>99 (15)</td><td>110 (27)</td><td>0.542</td><td><b>0.021</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Descending aorta (mm)</td><td>108 (15)</td><td>102 (13)</td><td>96 (12)</td><td>0.050</td><td><b>0.009</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Abdominal aorta (mm)</td><td>170 (21)</td><td>156 (21)</td><td>163 (16)</td><td><b>0.005</b></td><td>0.235</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>TAV Control</b>\", \"bbox\": [98, 4, 138, 13]}, {\"cell\": \"<b>TAV Turner</b>\", \"bbox\": [156, 4, 194, 13]}, {\"cell\": \"<b>BAV Turner</b>\", \"bbox\": [212, 4, 249, 13]}, {\"cell\": \"<b>Control-TAV Turner</b>\", \"bbox\": [267, 4, 330, 13]}, {\"cell\": \"<b>Control-BAV Turner</b>\", \"bbox\": [348, 4, 412, 13]}, {\"cell\": \"<b>TAV- BAV Turner</b>\", \"bbox\": [430, 4, 484, 13]}, {\"cell\": \"<b>(<i>n</i> = 38)</b>\", \"bbox\": [98, 17, 124, 27]}, {\"cell\": \"<b>(<i>n</i> = 39)</b>\", \"bbox\": [156, 17, 182, 27]}, {\"cell\": \"<b>(<i>n</i> = 16)</b>\", \"bbox\": [212, 17, 237, 27]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [267, 19, 273, 26]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [348, 19, 354, 26]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [430, 19, 436, 26]}, {\"cell\": \"Age (y)\", \"bbox\": [1, 30, 25, 40]}, {\"cell\": \"34 (14)\", \"bbox\": [98, 30, 122, 40]}, {\"cell\": \"30 (12)\", \"bbox\": [156, 30, 180, 40]}, {\"cell\": \"25 (9)\", \"bbox\": [212, 30, 232, 40]}, {\"cell\": \"0.241\", \"bbox\": [289, 30, 307, 40]}, {\"cell\": \"<b>0.008</b>\", \"bbox\": [370, 31, 391, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 30, 466, 40]}, {\"cell\": \"Length (cm)\", \"bbox\": [1, 44, 42, 54]}, {\"cell\": \"166 (8)\", \"bbox\": [98, 44, 122, 54]}, {\"cell\": \"154 (8)\", \"bbox\": [156, 44, 180, 54]}, {\"cell\": \"152 (6)\", \"bbox\": [212, 44, 235, 54]}, {\"cell\": \"<b>0.000</b>\", \"bbox\": [288, 45, 309, 52]}, {\"cell\": \"<b>0.000</b>\", \"bbox\": [370, 45, 391, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 44, 466, 54]}, {\"cell\": \"Weight (kg)\", \"bbox\": [1, 58, 40, 68]}, {\"cell\": \"61 (11)\", \"bbox\": [98, 58, 122, 68]}, {\"cell\": \"58 (12)\", \"bbox\": [156, 58, 180, 68]}, {\"cell\": \"55 (8)\", \"bbox\": [212, 58, 232, 68]}, {\"cell\": \"0.329\", \"bbox\": [289, 58, 307, 68]}, {\"cell\": \"0.099\", \"bbox\": [370, 58, 389, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 58, 466, 68]}, {\"cell\": \"Heart Rate (bpm)\", \"bbox\": [1, 72, 58, 82]}, {\"cell\": \"69 (10)\", \"bbox\": [98, 72, 122, 82]}, {\"cell\": \"78 (14)\", \"bbox\": [156, 72, 180, 82]}, {\"cell\": \"83 (8)\", \"bbox\": [212, 72, 232, 82]}, {\"cell\": \"<b>0.002</b>\", \"bbox\": [288, 73, 309, 80]}, {\"cell\": \"<b>0.000</b>\", \"bbox\": [370, 73, 391, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 72, 466, 82]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [1, 85, 41, 96]}, {\"cell\": \"21.8 (3.1)\", \"bbox\": [98, 86, 128, 96]}, {\"cell\": \"24.4 (4.8)\", \"bbox\": [156, 86, 187, 96]}, {\"cell\": \"23.9 (2.8)\", \"bbox\": [212, 86, 242, 96]}, {\"cell\": \"<b>0.006</b>\", \"bbox\": [288, 87, 309, 94]}, {\"cell\": \"<b>0.032</b>\", \"bbox\": [370, 87, 391, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 86, 466, 96]}, {\"cell\": \"BSA (mosteller)\", \"bbox\": [0, 100, 51, 110]}, {\"cell\": \"1.67 (0.17)\", \"bbox\": [98, 100, 132, 110]}, {\"cell\": \"1.6 (0.2)\", \"bbox\": [156, 100, 183, 110]}, {\"cell\": \"1.5 (0.1)\", \"bbox\": [212, 100, 238, 110]}, {\"cell\": \"<b>0.016</b>\", \"bbox\": [288, 101, 309, 108]}, {\"cell\": \"<b>0.007</b>\", \"bbox\": [370, 101, 391, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 100, 466, 110]}, {\"cell\": \"Systolic BP (mmHg)\", \"bbox\": [0, 114, 65, 124]}, {\"cell\": \"118 (14)\", \"bbox\": [98, 114, 126, 124]}, {\"cell\": \"123 (16)\", \"bbox\": [156, 114, 184, 124]}, {\"cell\": \"118 (14)\", \"bbox\": [212, 114, 239, 124]}, {\"cell\": \"0.151\", \"bbox\": [289, 114, 307, 124]}, {\"cell\": \"0.982\", \"bbox\": [370, 114, 389, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 114, 466, 124]}, {\"cell\": \"Diastolic BP (mmHg)\", \"bbox\": [0, 128, 68, 138]}, {\"cell\": \"70 (9)\", \"bbox\": [98, 128, 118, 138]}, {\"cell\": \"82 (14)\", \"bbox\": [156, 128, 180, 138]}, {\"cell\": \"80 (9)\", \"bbox\": [212, 128, 232, 138]}, {\"cell\": \"<b>0.000</b>\", \"bbox\": [288, 129, 309, 136]}, {\"cell\": \"<b>0.002</b>\", \"bbox\": [370, 129, 391, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 128, 466, 138]}, {\"cell\": \"Aortic arch length (mm)\", \"bbox\": [0, 142, 80, 152]}, {\"cell\": \"97 (13)\", \"bbox\": [98, 142, 122, 152]}, {\"cell\": \"99 (15)\", \"bbox\": [156, 142, 180, 152]}, {\"cell\": \"110 (27)\", \"bbox\": [212, 142, 239, 152]}, {\"cell\": \"0.542\", \"bbox\": [289, 142, 307, 152]}, {\"cell\": \"<b>0.021</b>\", \"bbox\": [370, 143, 391, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 142, 466, 152]}, {\"cell\": \"Descending aorta (mm)\", \"bbox\": [0, 156, 79, 166]}, {\"cell\": \"108 (15)\", \"bbox\": [98, 156, 126, 166]}, {\"cell\": \"102 (13)\", \"bbox\": [156, 156, 184, 166]}, {\"cell\": \"96 (12)\", \"bbox\": [212, 156, 235, 166]}, {\"cell\": \"0.050\", \"bbox\": [289, 156, 307, 166]}, {\"cell\": \"<b>0.009</b>\", \"bbox\": [370, 157, 391, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 156, 466, 166]}, {\"cell\": \"Abdominal aorta (mm)\", \"bbox\": [0, 170, 76, 180]}, {\"cell\": \"170 (21)\", \"bbox\": [98, 170, 126, 180]}, {\"cell\": \"156 (21)\", \"bbox\": [156, 170, 184, 180]}, {\"cell\": \"163 (16)\", \"bbox\": [212, 170, 239, 180]}, {\"cell\": \"<b>0.005</b>\", \"bbox\": [288, 171, 309, 178]}, {\"cell\": \"0.235\", \"bbox\": [370, 170, 389, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 170, 466, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5320803_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}879{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Algorithm Name</b></td><td><b>Mean Accuracy(Standard Deviation)</b></td><td><b>Mean F1 (Standard Deviation)</b></td><td><b>Rank</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>0.776623 (0.002080)</td><td>0.854157 (0.001626)</td><td>1</td></tr><tr><td>[EMPTY_CELL]</td><td>0.777774 (0.001545)</td><td>0.852797 (0.002938)</td><td>2</td></tr><tr><td>[EMPTY_CELL]</td><td>0.770728 (0.002505)</td><td>0.856341 (0.002405)</td><td>3</td></tr><tr><td>[EMPTY_CELL]</td><td>0.767623 (0.005490)</td><td>0.853575 (0.004574)</td><td>4</td></tr><tr><td>[EMPTY_CELL]</td><td>0.749171 (0.005683)</td><td>0.829826 (0.005544)</td><td>5</td></tr><tr><td>[EMPTY_CELL]</td><td>0.742125 (0.009821)</td><td>0.825725 (0.008487)</td><td>6</td></tr><tr><td>[EMPTY_CELL]</td><td>0.737451 (0.003210)</td><td>0.819065 (0.003840)</td><td>7</td></tr><tr><td>[EMPTY_CELL]</td><td>0.720535 (0.004787)</td><td>0.804220 (0.003006)</td><td>8</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Algorithm Name</b>\", \"bbox\": [43, 10, 114, 21]}, {\"cell\": \"<b>Mean Accuracy(Standard Deviation)</b>\", \"bbox\": [163, 5, 251, 27]}, {\"cell\": \"<b>Mean F1 (Standard Deviation)</b>\", \"bbox\": [266, 5, 354, 27]}, {\"cell\": \"<b>Rank</b>\", \"bbox\": [373, 10, 397, 21]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 32, 77, 43]}, {\"cell\": \"0.776623 (0.002080)\", \"bbox\": [168, 32, 246, 43]}, {\"cell\": \"0.854157 (0.001626)\", \"bbox\": [272, 32, 349, 43]}, {\"cell\": \"1\", \"bbox\": [382, 32, 388, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 43, 110, 54]}, {\"cell\": \"0.777774 (0.001545)\", \"bbox\": [168, 43, 246, 54]}, {\"cell\": \"0.852797 (0.002938)\", \"bbox\": [272, 43, 349, 54]}, {\"cell\": \"2\", \"bbox\": [382, 43, 388, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 54, 133, 65]}, {\"cell\": \"0.770728 (0.002505)\", \"bbox\": [168, 54, 246, 65]}, {\"cell\": \"0.856341 (0.002405)\", \"bbox\": [272, 54, 349, 65]}, {\"cell\": \"3\", \"bbox\": [382, 54, 388, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 65, 146, 76]}, {\"cell\": \"0.767623 (0.005490)\", \"bbox\": [168, 65, 246, 76]}, {\"cell\": \"0.853575 (0.004574)\", \"bbox\": [272, 65, 349, 76]}, {\"cell\": \"4\", \"bbox\": [382, 65, 388, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 76, 123, 87]}, {\"cell\": \"0.749171 (0.005683)\", \"bbox\": [168, 76, 246, 87]}, {\"cell\": \"0.829826 (0.005544)\", \"bbox\": [272, 76, 349, 87]}, {\"cell\": \"5\", \"bbox\": [382, 76, 388, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 87, 105, 98]}, {\"cell\": \"0.742125 (0.009821)\", \"bbox\": [168, 87, 246, 98]}, {\"cell\": \"0.825725 (0.008487)\", \"bbox\": [272, 87, 349, 98]}, {\"cell\": \"6\", \"bbox\": [382, 87, 388, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 98, 88, 109]}, {\"cell\": \"0.737451 (0.003210)\", \"bbox\": [168, 98, 246, 109]}, {\"cell\": \"0.819065 (0.003840)\", \"bbox\": [272, 98, 349, 109]}, {\"cell\": \"7\", \"bbox\": [382, 98, 388, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 109, 82, 120]}, {\"cell\": \"0.720535 (0.004787)\", \"bbox\": [168, 109, 246, 120]}, {\"cell\": \"0.804220 (0.003006)\", \"bbox\": [272, 109, 349, 120]}, {\"cell\": \"8\", \"bbox\": [382, 109, 388, 120]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5856112_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}880{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Total <i>N</i> = 37 (%) 100 %</b></td><td><b>Group 1 <i>N</i> = 11 (%) 100 %</b></td><td><b>Group 2 <i>N</i> = 4 (%) 100 %</b></td><td><b>Group 3 <i>N</i> = 5 (%) 100 %</b></td><td><b>Group 4 <i>N</i> = 17 (%) 100 %</b></td></tr></thead><tbody><tr><td>Mean age (years)</td><td>[EMPTY_CELL]</td><td>31.5 ± 2.0</td><td>35 ± 4.0</td><td>29.6 ± 4.4</td><td>33.4 ± 1.6</td></tr><tr><td colspan=\\\"6\\\">Education</td></tr><tr><td> No schooling</td><td>[EMPTY_CELL]</td><td>5 (46)</td><td>1 (25)</td><td>3 (60)</td><td>1 (6)</td></tr><tr><td> Primary</td><td>[EMPTY_CELL]</td><td>3 (27)</td><td>1 (25)</td><td>2 (40)</td><td>1 (6)</td></tr><tr><td> Secondary</td><td>[EMPTY_CELL]</td><td>2 (18)</td><td>2 (50)</td><td>0 (0)</td><td>7 (41)</td></tr><tr><td> Post-secondary</td><td>[EMPTY_CELL]</td><td>1 (9)</td><td>0 (0)</td><td>0 (0)</td><td>8 (47)</td></tr><tr><td colspan=\\\"6\\\">Occupation</td></tr><tr><td> House wives</td><td>[EMPTY_CELL]</td><td>6 (55)</td><td>1 (25)</td><td>3 (60)</td><td>5 (29)</td></tr><tr><td> Students</td><td>[EMPTY_CELL]</td><td>0 (0)</td><td>0 (0)</td><td>0 (0)</td><td>3 (18)</td></tr><tr><td> Civil servant</td><td>[EMPTY_CELL]</td><td>0 (0)</td><td>0 (0)</td><td>0 (0)</td><td>4 (24)</td></tr><tr><td> Private sector</td><td>[EMPTY_CELL]</td><td>5 (45)</td><td>3 (75)</td><td>2 (40)</td><td>5 (29)</td></tr><tr><td colspan=\\\"6\\\">Sex</td></tr><tr><td> Male</td><td>[EMPTY_CELL]</td><td>0 (0)</td><td>1 (25)</td><td>1 (20)</td><td>6 (35)</td></tr><tr><td> Female</td><td>[EMPTY_CELL]</td><td>11 (100)</td><td>3 (75)</td><td>4 (80)</td><td>11 (65)</td></tr><tr><td colspan=\\\"6\\\">Marital status</td></tr><tr><td> Single</td><td>[EMPTY_CELL]</td><td>0 (0)</td><td>0 (0)</td><td>0 (0)</td><td>1 (6)</td></tr><tr><td>Married/co-habiting</td><td>[EMPTY_CELL]</td><td>10 (90)</td><td>2 (50)</td><td>4 (80)</td><td>15 (88)</td></tr><tr><td>Widowed/separated</td><td>[EMPTY_CELL]</td><td>1 (10)</td><td>2 (50)</td><td>1 (20)</td><td>1 (6)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total <i>N</i> = 37 (%) 100 %</b>\", \"bbox\": [91, 4, 144, 22]}, {\"cell\": \"<b>Group 1 <i>N</i> = 11 (%) 100 %</b>\", \"bbox\": [169, 4, 231, 22]}, {\"cell\": \"<b>Group 2 <i>N</i> = 4 (%) 100 %</b>\", \"bbox\": [256, 4, 314, 22]}, {\"cell\": \"<b>Group 3 <i>N</i> = 5 (%) 100 %</b>\", \"bbox\": [339, 4, 397, 22]}, {\"cell\": \"<b>Group 4 <i>N</i> = 17 (%) 100 %</b>\", \"bbox\": [422, 4, 484, 22]}, {\"cell\": \"Mean age (years)\", \"bbox\": [1, 26, 57, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 26, 123, 36]}, {\"cell\": \"31.5 ± 2.0\", \"bbox\": [169, 26, 200, 36]}, {\"cell\": \"35 ± 4.0\", \"bbox\": [256, 26, 282, 36]}, {\"cell\": \"29.6 ± 4.4\", \"bbox\": [339, 26, 370, 36]}, {\"cell\": \"33.4 ± 1.6\", \"bbox\": [422, 26, 454, 36]}, {\"cell\": \"Education\", \"bbox\": [1, 40, 34, 50]}, {\"cell\": \" No schooling\", \"bbox\": [8, 54, 53, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 54, 115, 64]}, {\"cell\": \"5 (46)\", \"bbox\": [169, 54, 189, 64]}, {\"cell\": \"1 (25)\", \"bbox\": [256, 54, 276, 64]}, {\"cell\": \"3 (60)\", \"bbox\": [339, 54, 359, 64]}, {\"cell\": \"1 (6)\", \"bbox\": [422, 54, 438, 64]}, {\"cell\": \" Primary\", \"bbox\": [8, 68, 34, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 68, 111, 78]}, {\"cell\": \"3 (27)\", \"bbox\": [169, 68, 189, 78]}, {\"cell\": \"1 (25)\", \"bbox\": [256, 68, 276, 78]}, {\"cell\": \"2 (40)\", \"bbox\": [339, 68, 359, 78]}, {\"cell\": \"1 (6)\", \"bbox\": [422, 68, 438, 78]}, {\"cell\": \" Secondary\", \"bbox\": [8, 82, 44, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 82, 115, 92]}, {\"cell\": \"2 (18)\", \"bbox\": [169, 82, 189, 92]}, {\"cell\": \"2 (50)\", \"bbox\": [256, 82, 276, 92]}, {\"cell\": \"0 (0)\", \"bbox\": [339, 82, 355, 92]}, {\"cell\": \"7 (41)\", \"bbox\": [422, 82, 442, 92]}, {\"cell\": \" Post-secondary\", \"bbox\": [8, 96, 59, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 96, 111, 106]}, {\"cell\": \"1 (9)\", \"bbox\": [169, 96, 185, 106]}, {\"cell\": \"0 (0)\", \"bbox\": [256, 96, 272, 106]}, {\"cell\": \"0 (0)\", \"bbox\": [339, 96, 355, 106]}, {\"cell\": \"8 (47)\", \"bbox\": [422, 96, 442, 106]}, {\"cell\": \"Occupation\", \"bbox\": [1, 110, 39, 120]}, {\"cell\": \" House wives\", \"bbox\": [8, 124, 51, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 124, 115, 134]}, {\"cell\": \"6 (55)\", \"bbox\": [169, 124, 189, 134]}, {\"cell\": \"1 (25)\", \"bbox\": [256, 124, 276, 134]}, {\"cell\": \"3 (60)\", \"bbox\": [339, 124, 359, 134]}, {\"cell\": \"5 (29)\", \"bbox\": [422, 124, 442, 134]}, {\"cell\": \" Students\", \"bbox\": [8, 138, 38, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 138, 108, 148]}, {\"cell\": \"0 (0)\", \"bbox\": [169, 138, 185, 148]}, {\"cell\": \"0 (0)\", \"bbox\": [256, 138, 272, 148]}, {\"cell\": \"0 (0)\", \"bbox\": [339, 138, 355, 148]}, {\"cell\": \"3 (18)\", \"bbox\": [422, 138, 442, 148]}, {\"cell\": \" Civil servant\", \"bbox\": [8, 152, 49, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 152, 111, 162]}, {\"cell\": \"0 (0)\", \"bbox\": [169, 152, 185, 162]}, {\"cell\": \"0 (0)\", \"bbox\": [256, 152, 272, 162]}, {\"cell\": \"0 (0)\", \"bbox\": [339, 152, 355, 162]}, {\"cell\": \"4 (24)\", \"bbox\": [422, 152, 442, 162]}, {\"cell\": \" Private sector\", \"bbox\": [8, 166, 53, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 166, 115, 176]}, {\"cell\": \"5 (45)\", \"bbox\": [169, 166, 189, 176]}, {\"cell\": \"3 (75)\", \"bbox\": [256, 166, 276, 176]}, {\"cell\": \"2 (40)\", \"bbox\": [339, 166, 359, 176]}, {\"cell\": \"5 (29)\", \"bbox\": [422, 166, 442, 176]}, {\"cell\": \"Sex\", \"bbox\": [1, 180, 13, 190]}, {\"cell\": \" Male\", \"bbox\": [8, 194, 26, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 194, 111, 204]}, {\"cell\": \"0 (0)\", \"bbox\": [169, 194, 185, 204]}, {\"cell\": \"1 (25)\", \"bbox\": [256, 194, 276, 204]}, {\"cell\": \"1 (20)\", \"bbox\": [339, 194, 359, 204]}, {\"cell\": \"6 (35)\", \"bbox\": [422, 194, 442, 204]}, {\"cell\": \" Female\", \"bbox\": [8, 208, 34, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 208, 115, 218]}, {\"cell\": \"11 (100)\", \"bbox\": [169, 208, 196, 218]}, {\"cell\": \"3 (75)\", \"bbox\": [256, 208, 276, 218]}, {\"cell\": \"4 (80)\", \"bbox\": [339, 208, 359, 218]}, {\"cell\": \"11 (65)\", \"bbox\": [422, 208, 446, 218]}, {\"cell\": \"Marital status\", \"bbox\": [1, 222, 45, 232]}, {\"cell\": \" Single\", \"bbox\": [8, 236, 30, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 236, 108, 246]}, {\"cell\": \"0 (0)\", \"bbox\": [169, 236, 185, 246]}, {\"cell\": \"0 (0)\", \"bbox\": [256, 236, 272, 246]}, {\"cell\": \"0 (0)\", \"bbox\": [339, 236, 355, 246]}, {\"cell\": \"1 (6)\", \"bbox\": [422, 236, 438, 246]}, {\"cell\": \"Married/co-habiting\", \"bbox\": [1, 250, 66, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 250, 115, 260]}, {\"cell\": \"10 (90)\", \"bbox\": [169, 250, 192, 260]}, {\"cell\": \"2 (50)\", \"bbox\": [256, 250, 276, 260]}, {\"cell\": \"4 (80)\", \"bbox\": [339, 250, 359, 260]}, {\"cell\": \"15 (88)\", \"bbox\": [422, 250, 446, 260]}, {\"cell\": \"Widowed/separated\", \"bbox\": [1, 264, 67, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 264, 111, 274]}, {\"cell\": \"1 (10)\", \"bbox\": [169, 264, 189, 274]}, {\"cell\": \"2 (50)\", \"bbox\": [256, 264, 276, 274]}, {\"cell\": \"1 (20)\", \"bbox\": [339, 264, 359, 274]}, {\"cell\": \"1 (6)\", \"bbox\": [422, 264, 438, 274]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4784410_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}881{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Pathway</b></td><td><b>Target Genes</b></td><td><b>Pathway Genes</b></td><td><b>Ratio</b></td><td><b>z-score</b></td><td><b>B-H <i>p</i> value</b></td><td><b>Target Gene ID’s</b></td></tr></thead><tbody><tr><td>Complement</td><td>9</td><td>37</td><td>0.243</td><td>1.414</td><td>[EMPTY_CELL]</td><td>C3, C1QA, C1QB, C1QC, C1S, CFD, CFH, ITGB2, SERPING1</td></tr><tr><td>Cholesterol Biosynthesis</td><td>7</td><td>28</td><td>0.250</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CYP51A1, HMGCR, HMGCS1, HSD17B7, IDI1, LSS, SC5D</td></tr><tr><td>iCOS-iCOSL signaling T helper cell</td><td>10</td><td>108</td><td>0.093</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CAMK2B, CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PDPK1, PLEKHA4, PTPRC</td></tr><tr><td>Cholesterol Biosynthesis I</td><td>4</td><td>13</td><td>0.308</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CYP51A1, HSD17B7, LSS, SC5D</td></tr><tr><td>Cholesterol Biosynthesis II (via 24,25-dihydrolanosterol)</td><td>4</td><td>13</td><td>0.308</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CYP51A1, HSD17B7, LSS, SC5D</td></tr><tr><td>Cholesterol Biosynthesis II (via desmosterol)</td><td>4</td><td>13</td><td>0.308</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CYP51A1, HSD17B7, LSS, SC5D</td></tr><tr><td>Ca-induced T cell Apoptosis</td><td>7</td><td>64</td><td>0.109</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PRKCE</td></tr><tr><td>OX40-signaling</td><td>8</td><td>89</td><td>0.090</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, RT1-EC2, TNFSF4</td></tr><tr><td>NFAT regulation of immune response</td><td>11</td><td>171</td><td>0.064</td><td>1.89</td><td>[EMPTY_CELL]</td><td>BLNK, CD3G, FCER1G, FCGR2B, FCGR3A/FCGR3B, GNAS, GSK3B, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5</td></tr><tr><td>B Cell development</td><td>5</td><td>33</td><td>0.152</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PTPRC</td></tr><tr><td>Nur77 signaling in T cells</td><td>6</td><td>57</td><td>0.105</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5</td></tr><tr><td>Cd28 signaling in T Helper Cells</td><td>8</td><td>118</td><td>0.068</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PDPK1, PTPRC</td></tr><tr><td>PKC-τ signaling in T cells</td><td>8</td><td>118</td><td>0.068</td><td>1.414</td><td>[EMPTY_CELL]</td><td>CAMK2B, CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, MAP3K8</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Pathway</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>Target Genes</b>\", \"bbox\": [129, 4, 151, 22]}, {\"cell\": \"<b>Pathway Genes</b>\", \"bbox\": [156, 4, 186, 22]}, {\"cell\": \"<b>Ratio</b>\", \"bbox\": [191, 4, 209, 13]}, {\"cell\": \"<b>z-score</b>\", \"bbox\": [215, 4, 239, 13]}, {\"cell\": \"<b>B-H <i>p</i> value</b>\", \"bbox\": [245, 4, 284, 13]}, {\"cell\": \"<b>Target Gene ID’s</b>\", \"bbox\": [289, 4, 344, 13]}, {\"cell\": \"Complement\", \"bbox\": [1, 26, 44, 36]}, {\"cell\": \"9\", \"bbox\": [129, 26, 135, 36]}, {\"cell\": \"37\", \"bbox\": [156, 26, 166, 36]}, {\"cell\": \"0.243\", \"bbox\": [191, 26, 210, 36]}, {\"cell\": \"1.414\", \"bbox\": [215, 26, 234, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 26, 279, 36]}, {\"cell\": \"C3, C1QA, C1QB, C1QC, C1S, CFD, CFH, ITGB2, SERPING1\", \"bbox\": [289, 26, 471, 36]}, {\"cell\": \"Cholesterol Biosynthesis\", \"bbox\": [1, 40, 79, 50]}, {\"cell\": \"7\", \"bbox\": [129, 40, 135, 50]}, {\"cell\": \"28\", \"bbox\": [156, 40, 166, 50]}, {\"cell\": \"0.250\", \"bbox\": [191, 40, 210, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 40, 279, 50]}, {\"cell\": \"CYP51A1, HMGCR, HMGCS1, HSD17B7, IDI1, LSS, SC5D\", \"bbox\": [289, 40, 464, 50]}, {\"cell\": \"iCOS-iCOSL signaling T helper cell\", \"bbox\": [1, 54, 111, 64]}, {\"cell\": \"10\", \"bbox\": [129, 54, 138, 64]}, {\"cell\": \"108\", \"bbox\": [156, 54, 170, 64]}, {\"cell\": \"0.093\", \"bbox\": [191, 54, 210, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 54, 279, 64]}, {\"cell\": \"CAMK2B, CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PDPK1, PLEKHA4, PTPRC\", \"bbox\": [289, 54, 446, 73]}, {\"cell\": \"Cholesterol Biosynthesis I\", \"bbox\": [1, 77, 83, 87]}, {\"cell\": \"4\", \"bbox\": [129, 77, 135, 87]}, {\"cell\": \"13\", \"bbox\": [156, 77, 166, 87]}, {\"cell\": \"0.308\", \"bbox\": [191, 77, 210, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 77, 279, 87]}, {\"cell\": \"CYP51A1, HSD17B7, LSS, SC5D\", \"bbox\": [289, 77, 388, 87]}, {\"cell\": \"Cholesterol Biosynthesis II (via 24,25-dihydrolanosterol)\", \"bbox\": [1, 91, 93, 110]}, {\"cell\": \"4\", \"bbox\": [129, 91, 135, 101]}, {\"cell\": \"13\", \"bbox\": [156, 91, 166, 101]}, {\"cell\": \"0.308\", \"bbox\": [191, 91, 210, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 91, 279, 101]}, {\"cell\": \"CYP51A1, HSD17B7, LSS, SC5D\", \"bbox\": [289, 91, 388, 101]}, {\"cell\": \"Cholesterol Biosynthesis II (via desmosterol)\", \"bbox\": [1, 114, 85, 133]}, {\"cell\": \"4\", \"bbox\": [129, 114, 135, 124]}, {\"cell\": \"13\", \"bbox\": [156, 114, 166, 124]}, {\"cell\": \"0.308\", \"bbox\": [191, 114, 210, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 114, 279, 124]}, {\"cell\": \"CYP51A1, HSD17B7, LSS, SC5D\", \"bbox\": [289, 114, 388, 124]}, {\"cell\": \"Ca-induced T cell Apoptosis\", \"bbox\": [1, 137, 92, 147]}, {\"cell\": \"7\", \"bbox\": [129, 137, 135, 147]}, {\"cell\": \"64\", \"bbox\": [156, 137, 166, 147]}, {\"cell\": \"0.109\", \"bbox\": [191, 137, 210, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 137, 279, 147]}, {\"cell\": \"CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PRKCE\", \"bbox\": [289, 137, 448, 156]}, {\"cell\": \"OX40-signaling\", \"bbox\": [1, 160, 51, 170]}, {\"cell\": \"8\", \"bbox\": [129, 160, 135, 170]}, {\"cell\": \"89\", \"bbox\": [156, 160, 166, 170]}, {\"cell\": \"0.090\", \"bbox\": [191, 160, 210, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 160, 279, 170]}, {\"cell\": \"CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, RT1-EC2, TNFSF4\", \"bbox\": [289, 160, 448, 179]}, {\"cell\": \"NFAT regulation of immune response\", \"bbox\": [1, 183, 123, 193]}, {\"cell\": \"11\", \"bbox\": [129, 183, 138, 193]}, {\"cell\": \"171\", \"bbox\": [156, 183, 170, 193]}, {\"cell\": \"0.064\", \"bbox\": [191, 183, 210, 193]}, {\"cell\": \"1.89\", \"bbox\": [215, 183, 230, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 183, 279, 193]}, {\"cell\": \"BLNK, CD3G, FCER1G, FCGR2B, FCGR3A/FCGR3B, GNAS, GSK3B, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5\", \"bbox\": [289, 183, 467, 202]}, {\"cell\": \"B Cell development\", \"bbox\": [1, 206, 66, 216]}, {\"cell\": \"5\", \"bbox\": [129, 206, 135, 216]}, {\"cell\": \"33\", \"bbox\": [156, 206, 166, 216]}, {\"cell\": \"0.152\", \"bbox\": [191, 206, 210, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 206, 279, 216]}, {\"cell\": \"HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PTPRC\", \"bbox\": [289, 206, 457, 216]}, {\"cell\": \"Nur77 signaling in T cells\", \"bbox\": [1, 220, 83, 230]}, {\"cell\": \"6\", \"bbox\": [129, 220, 135, 230]}, {\"cell\": \"57\", \"bbox\": [156, 220, 166, 230]}, {\"cell\": \"0.105\", \"bbox\": [191, 220, 210, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 220, 279, 230]}, {\"cell\": \"CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5\", \"bbox\": [289, 220, 483, 230]}, {\"cell\": \"Cd28 signaling in T Helper Cells\", \"bbox\": [1, 234, 105, 244]}, {\"cell\": \"8\", \"bbox\": [129, 234, 135, 244]}, {\"cell\": \"118\", \"bbox\": [156, 234, 170, 244]}, {\"cell\": \"0.068\", \"bbox\": [191, 234, 210, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 234, 279, 244]}, {\"cell\": \"CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, PDPK1, PTPRC\", \"bbox\": [289, 234, 484, 253]}, {\"cell\": \"PKC-τ signaling in T cells\", \"bbox\": [1, 257, 82, 267]}, {\"cell\": \"8\", \"bbox\": [129, 257, 135, 267]}, {\"cell\": \"118\", \"bbox\": [156, 257, 170, 267]}, {\"cell\": \"0.068\", \"bbox\": [191, 257, 210, 267]}, {\"cell\": \"1.414\", \"bbox\": [215, 257, 234, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 257, 279, 267]}, {\"cell\": \"CAMK2B, CD3G, FCER1G, HLA-DQA1, HLA-DQB1, HLA-DRA, HLA-DRB5, MAP3K8\", \"bbox\": [289, 257, 479, 276]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5390443_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}882{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Species</b></td><td><b>Number of occurrences</b></td><td><b>Fr (%) <sup>1</sup></b></td><td><b>RD (%) <sup>2</sup></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1</td><td>3.6</td><td>2.6</td></tr><tr><td>[EMPTY_CELL]</td><td>15</td><td>53.6</td><td>39.5</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>3.6</td><td>2.6</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>21.4</td><td>15.8</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>14.3</td><td>10.5</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>3.6</td><td>2.6</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>7.1</td><td>5.3</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>3.6</td><td>2.6</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>3.6</td><td>2.6</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>3.6</td><td>2.6</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>3.6</td><td>2.6</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>10.7</td><td>7.9</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>3.6</td><td>2.6</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Species</b>\", \"bbox\": [66, 5, 102, 17]}, {\"cell\": \"<b>Number of occurrences</b>\", \"bbox\": [174, 5, 286, 17]}, {\"cell\": \"<b>Fr (%) <sup>1</sup></b>\", \"bbox\": [303, 4, 344, 17]}, {\"cell\": \"<b>RD (%) <sup>2</sup></b>\", \"bbox\": [361, 4, 407, 17]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [34, 20, 134, 32]}, {\"cell\": \"1\", \"bbox\": [227, 20, 234, 32]}, {\"cell\": \"3.6\", \"bbox\": [316, 20, 332, 32]}, {\"cell\": \"2.6\", \"bbox\": [376, 20, 392, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 34, 153, 46]}, {\"cell\": \"15\", \"bbox\": [224, 34, 237, 46]}, {\"cell\": \"53.6\", \"bbox\": [313, 34, 334, 46]}, {\"cell\": \"39.5\", \"bbox\": [373, 34, 395, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [55, 48, 113, 60]}, {\"cell\": \"1\", \"bbox\": [227, 48, 234, 60]}, {\"cell\": \"3.6\", \"bbox\": [316, 48, 332, 60]}, {\"cell\": \"2.6\", \"bbox\": [376, 48, 392, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [46, 62, 122, 74]}, {\"cell\": \"6\", \"bbox\": [227, 62, 234, 74]}, {\"cell\": \"21.4\", \"bbox\": [313, 62, 334, 74]}, {\"cell\": \"15.8\", \"bbox\": [373, 62, 395, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [60, 76, 107, 88]}, {\"cell\": \"4\", \"bbox\": [227, 76, 234, 88]}, {\"cell\": \"14.3\", \"bbox\": [313, 76, 334, 88]}, {\"cell\": \"10.5\", \"bbox\": [373, 76, 395, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 90, 113, 102]}, {\"cell\": \"1\", \"bbox\": [227, 90, 234, 102]}, {\"cell\": \"3.6\", \"bbox\": [316, 90, 332, 102]}, {\"cell\": \"2.6\", \"bbox\": [376, 90, 392, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [60, 104, 107, 116]}, {\"cell\": \"2\", \"bbox\": [227, 104, 234, 116]}, {\"cell\": \"7.1\", \"bbox\": [316, 104, 332, 116]}, {\"cell\": \"5.3\", \"bbox\": [376, 104, 392, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [27, 118, 141, 130]}, {\"cell\": \"1\", \"bbox\": [227, 118, 234, 130]}, {\"cell\": \"3.6\", \"bbox\": [316, 118, 332, 130]}, {\"cell\": \"2.6\", \"bbox\": [376, 118, 392, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [47, 132, 120, 144]}, {\"cell\": \"1\", \"bbox\": [227, 132, 234, 144]}, {\"cell\": \"3.6\", \"bbox\": [316, 132, 332, 144]}, {\"cell\": \"2.6\", \"bbox\": [376, 132, 392, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [54, 146, 113, 158]}, {\"cell\": \"1\", \"bbox\": [227, 146, 234, 158]}, {\"cell\": \"3.6\", \"bbox\": [316, 146, 332, 158]}, {\"cell\": \"2.6\", \"bbox\": [376, 146, 392, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [55, 160, 113, 172]}, {\"cell\": \"1\", \"bbox\": [227, 160, 234, 172]}, {\"cell\": \"3.6\", \"bbox\": [316, 160, 332, 172]}, {\"cell\": \"2.6\", \"bbox\": [376, 160, 392, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [50, 174, 117, 186]}, {\"cell\": \"3\", \"bbox\": [227, 174, 234, 186]}, {\"cell\": \"10.7\", \"bbox\": [313, 174, 334, 186]}, {\"cell\": \"7.9\", \"bbox\": [376, 174, 392, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [29, 188, 138, 200]}, {\"cell\": \"1\", \"bbox\": [227, 188, 234, 200]}, {\"cell\": \"3.6\", \"bbox\": [316, 188, 332, 200]}, {\"cell\": \"2.6\", \"bbox\": [376, 188, 392, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4663522_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}883{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>SNP</b></td><td><b>Chr</b></td><td><b>Position</b></td><td><b>Location</b></td><td><b>Genotype</b></td><td><b>Cases No. (%)</b></td><td><b>Controls No. (%)</b></td><td><b>OR (95% CI)<sup>a</sup></b></td><td><b><i>P</i><sup>a</sup></b></td></tr></thead><tbody><tr><td>rs2302427</td><td>[EMPTY_CELL]</td><td>148525904</td><td>Asp>His</td><td>CC</td><td>670 (78.6)</td><td>961 (73.8)</td><td>1.00 (Reference)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CG</td><td>173 (20.3)</td><td>319 (24.5)</td><td>0.78 (0.63-0.96)</td><td>0.0198</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GG</td><td>9 (1.1)</td><td>23 (1.8)</td><td>0.54 (0.24-1.18)</td><td>0.1224</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CG+GG</td><td>182 (21.4)</td><td>342 (26.2)</td><td>0.76 (0.62-0.94)</td><td>0.0096</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Additive model</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.77 (0.64-0.93)</td><td>0.0068</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>SNP</b>\", \"bbox\": [4, 6, 24, 16]}, {\"cell\": \"<b>Chr</b>\", \"bbox\": [58, 6, 78, 16]}, {\"cell\": \"<b>Position</b>\", \"bbox\": [96, 6, 132, 16]}, {\"cell\": \"<b>Location</b>\", \"bbox\": [144, 6, 184, 16]}, {\"cell\": \"<b>Genotype</b>\", \"bbox\": [191, 6, 235, 16]}, {\"cell\": \"<b>Cases No. (%)</b>\", \"bbox\": [245, 6, 289, 28]}, {\"cell\": \"<b>Controls No. (%)</b>\", \"bbox\": [300, 6, 375, 16]}, {\"cell\": \"<b>OR (95% CI)<sup>a</sup></b>\", \"bbox\": [384, 5, 447, 16]}, {\"cell\": \"<b><i>P</i><sup>a</sup></b>\", \"bbox\": [469, 5, 480, 14]}, {\"cell\": \"rs2302427\", \"bbox\": [3, 41, 48, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [64, 41, 71, 52]}, {\"cell\": \"148525904\", \"bbox\": [90, 41, 137, 52]}, {\"cell\": \"Asp>His\", \"bbox\": [145, 41, 183, 52]}, {\"cell\": \"CC\", \"bbox\": [205, 41, 221, 52]}, {\"cell\": \"670 (78.6)\", \"bbox\": [245, 41, 289, 52]}, {\"cell\": \"961 (73.8)\", \"bbox\": [316, 41, 359, 52]}, {\"cell\": \"1.00 (Reference)\", \"bbox\": [391, 35, 440, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CG\", \"bbox\": [205, 70, 221, 81]}, {\"cell\": \"173 (20.3)\", \"bbox\": [245, 70, 289, 81]}, {\"cell\": \"319 (24.5)\", \"bbox\": [316, 70, 359, 81]}, {\"cell\": \"0.78 (0.63-0.96)\", \"bbox\": [392, 64, 438, 87]}, {\"cell\": \"0.0198\", \"bbox\": [460, 70, 489, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GG\", \"bbox\": [205, 99, 221, 110]}, {\"cell\": \"9 (1.1)\", \"bbox\": [252, 99, 281, 110]}, {\"cell\": \"23 (1.8)\", \"bbox\": [321, 99, 354, 110]}, {\"cell\": \"0.54 (0.24-1.18)\", \"bbox\": [392, 93, 438, 116]}, {\"cell\": \"0.1224\", \"bbox\": [460, 99, 489, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CG+GG\", \"bbox\": [195, 128, 231, 139]}, {\"cell\": \"182 (21.4)\", \"bbox\": [245, 128, 289, 139]}, {\"cell\": \"342 (26.2)\", \"bbox\": [316, 128, 359, 139]}, {\"cell\": \"0.76 (0.62-0.94)\", \"bbox\": [392, 122, 438, 145]}, {\"cell\": \"0.0096\", \"bbox\": [460, 128, 489, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Additive model\", \"bbox\": [194, 151, 231, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.77 (0.64-0.93)\", \"bbox\": [392, 151, 438, 174]}, {\"cell\": \"0.0068\", \"bbox\": [460, 157, 489, 168]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5706908_002_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}884{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Lifetime (days)</b></td><td><b>Time between feeding(days)</b></td><td><b>Ratio of weigh afterfeeding</b></td><td><b>Number of hatchedeggs (total number)</b></td></tr></thead><tbody><tr><td>Female (MCc) <i>n</i> = 1</td><td>[EMPTY_CELL]</td><td>4 (3-7), <i>a</i> =13</td><td>2.0 (1.9-2.1), <i>a</i>= 13</td><td>0 (0)</td></tr><tr><td>Females (M) <i>n</i> = 14</td><td>[EMPTY_CELL]</td><td>6 (4-7), <i>a</i> =512</td><td>1.0 (1.0-1.1), <i>a</i>= 512</td><td>732 (1448)</td></tr><tr><td>MW U-test</td><td>[EMPTY_CELL]</td><td>W = 2969, p = 0.50</td><td><b>W = 5, p < 0.001</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Male (CcChCc) <i>n</i> = 1</td><td>[EMPTY_CELL]</td><td>5 (3-10), <i>a</i> =59</td><td>1.2 (1.0-1.3), <i>a</i>= 59</td><td>-</td></tr><tr><td>Males (M) <i>n</i> = 8</td><td>[EMPTY_CELL]</td><td>7 (4-7), <i>a</i> =168</td><td>0.9 (0.9-1.0), <i>a</i>= 158</td><td>-</td></tr><tr><td>MW U-test</td><td>[EMPTY_CELL]</td><td>W = 4914.5, p = 0.92</td><td><b>W = 1635, p < 0.001</b></td><td>[EMPTY_CELL]</td></tr><tr><td>Female A (Cc)</td><td>[EMPTY_CELL]</td><td>9 (3-13)</td><td>1.4 (1.0-1.5)</td><td>6 (13)</td></tr><tr><td>Female B (Cc)</td><td>[EMPTY_CELL]</td><td>5 (3-9)</td><td>0.9 (0.8-0.9)</td><td>0 (0)</td></tr><tr><td>Female C (M)</td><td>[EMPTY_CELL]</td><td>7 (4-10)</td><td>1.6 (1.5-1.7)</td><td>1 (28)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Lifetime (days)</b>\", \"bbox\": [111, 8, 145, 29]}, {\"cell\": \"<b>Time between feeding(days)</b>\", \"bbox\": [180, 8, 264, 29]}, {\"cell\": \"<b>Ratio of weigh afterfeeding</b>\", \"bbox\": [294, 8, 350, 29]}, {\"cell\": \"<b>Number of hatchedeggs (total number)</b>\", \"bbox\": [375, 8, 467, 29]}, {\"cell\": \"Female (MCc) <i>n</i> = 1\", \"bbox\": [1, 39, 76, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [123, 39, 133, 49]}, {\"cell\": \"4 (3-7), <i>a</i> =13\", \"bbox\": [196, 39, 249, 49]}, {\"cell\": \"2.0 (1.9-2.1), <i>a</i>= 13\", \"bbox\": [286, 39, 359, 49]}, {\"cell\": \"0 (0)\", \"bbox\": [412, 39, 430, 49]}, {\"cell\": \"Females (M) <i>n</i> = 14\", \"bbox\": [1, 51, 74, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 51, 154, 61]}, {\"cell\": \"6 (4-7), <i>a</i> =512\", \"bbox\": [194, 51, 251, 61]}, {\"cell\": \"1.0 (1.0-1.1), <i>a</i>= 512\", \"bbox\": [285, 51, 360, 61]}, {\"cell\": \"732 (1448)\", \"bbox\": [401, 51, 441, 61]}, {\"cell\": \"MW U-test\", \"bbox\": [1, 63, 44, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 63, 130, 73]}, {\"cell\": \"W = 2969, p = 0.50\", \"bbox\": [186, 63, 258, 73]}, {\"cell\": \"<b>W = 5, p < 0.001</b>\", \"bbox\": [290, 63, 355, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male (CcChCc) <i>n</i> = 1\", \"bbox\": [1, 83, 80, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 83, 135, 93]}, {\"cell\": \"5 (3-10), <i>a</i> =59\", \"bbox\": [194, 83, 251, 93]}, {\"cell\": \"1.2 (1.0-1.3), <i>a</i>= 59\", \"bbox\": [286, 83, 358, 93]}, {\"cell\": \"-\", \"bbox\": [419, 83, 424, 93]}, {\"cell\": \"Males (M) <i>n</i> = 8\", \"bbox\": [1, 95, 62, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 95, 154, 105]}, {\"cell\": \"7 (4-7), <i>a</i> =168\", \"bbox\": [193, 95, 251, 105]}, {\"cell\": \"0.9 (0.9-1.0), <i>a</i>= 158\", \"bbox\": [284, 95, 361, 105]}, {\"cell\": \"-\", \"bbox\": [419, 95, 424, 105]}, {\"cell\": \"MW U-test\", \"bbox\": [1, 107, 44, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [125, 107, 130, 117]}, {\"cell\": \"W = 4914.5, p = 0.92\", \"bbox\": [183, 107, 261, 117]}, {\"cell\": \"<b>W = 1635, p < 0.001</b>\", \"bbox\": [283, 107, 362, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female A (Cc)\", \"bbox\": [1, 127, 55, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 127, 135, 137]}, {\"cell\": \"9 (3-13)\", \"bbox\": [207, 127, 237, 137]}, {\"cell\": \"1.4 (1.0-1.5)\", \"bbox\": [300, 127, 345, 137]}, {\"cell\": \"6 (13)\", \"bbox\": [410, 127, 432, 137]}, {\"cell\": \"Female B (Cc)\", \"bbox\": [1, 139, 55, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [121, 139, 135, 149]}, {\"cell\": \"5 (3-9)\", \"bbox\": [209, 139, 235, 149]}, {\"cell\": \"0.9 (0.8-0.9)\", \"bbox\": [299, 139, 346, 149]}, {\"cell\": \"0 (0)\", \"bbox\": [412, 139, 430, 149]}, {\"cell\": \"Female C (M)\", \"bbox\": [1, 151, 54, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 151, 136, 161]}, {\"cell\": \"7 (4-10)\", \"bbox\": [207, 151, 237, 161]}, {\"cell\": \"1.6 (1.5-1.7)\", \"bbox\": [300, 151, 345, 161]}, {\"cell\": \"1 (28)\", \"bbox\": [409, 151, 433, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5066326_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}885{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Study</b></td><td rowspan=\\\"2\\\" colspan=\\\"3\\\"><b>Number of patients TAVI</b></td><td colspan=\\\"2\\\"><b>Logistic EuroSCORE</b></td><td colspan=\\\"2\\\"><b>STS SCORE</b></td><td colspan=\\\"8\\\"><b>30-day outccomes</b></td></tr><tr><td colspan=\\\"2\\\"><b>(%)*</b></td><td colspan=\\\"2\\\"><b>(%)*</b></td><td colspan=\\\"2\\\"><b>Mortality</b></td><td colspan=\\\"2\\\"><b>Stroke</b></td><td colspan=\\\"2\\\"><b>Vascular complication</b></td><td colspan=\\\"2\\\"><b>Heart block</b></td></tr><tr><td><b>TF</b></td><td><b>TA</b></td><td><b>Total</b></td><td><b>TF</b></td><td><b>TA</b></td><td><b>TF</b></td><td><b>TA</b></td><td><b>TF</b></td><td><b>TA</b></td><td><b>TF</b></td><td><b>TA</b></td><td><b>TF</b></td><td><b>TA</b></td><td><b>TF</b></td><td><b>TA</b></td></tr></thead><tbody><tr><td>Rafal Dworakowski [1]</td><td>67</td><td>84</td><td>151</td><td>19.4 ± 1.1</td><td>23.4 ± 1.5</td><td>-</td><td>-</td><td>4</td><td>11</td><td>5</td><td>4</td><td>11</td><td>2</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>Peter Wenaweser [2]</td><td>27</td><td>43</td><td>70</td><td>22.8 ± 13.0</td><td>26.1 ±14.3</td><td>6.3 ± 4.0</td><td>6.3 ± 5.5</td><td>3</td><td>4</td><td>0</td><td>1</td><td>-</td><td>-</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>Cosmo Godino [3]</td><td>107</td><td>15</td><td>222</td><td>26.6 ± 16</td><td>32.2 ± 23</td><td>7 ± 4.9</td><td>8.3 ± 4.2</td><td>1</td><td>2</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>He’ le ‘ ne Eltchaninoff [4]</td><td>161</td><td>71</td><td>232</td><td>-</td><td>-</td><td>-</td><td>-</td><td>18</td><td>12</td><td>7</td><td>2</td><td>-</td><td>[EMPTY_CELL]</td><td>22</td><td>[EMPTY_CELL]</td></tr><tr><td>Johan M. Bosmans [5]</td><td>99</td><td>88</td><td>187</td><td>29 ± 15</td><td>33 ± 17</td><td>-</td><td>-</td><td>5</td><td>2</td><td>2</td><td>7</td><td>-</td><td>--</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>Matthias Thielmann [6]</td><td>15</td><td>24</td><td>39</td><td>12.7 ± 0.9</td><td>16.7 ± 4.4</td><td>15.1 ± 4.1</td><td>9.9 ± 7.5</td><td>2</td><td>5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Nawwar Al-Attar [7]</td><td>35</td><td>15</td><td>50</td><td>-</td><td>-</td><td>-</td><td>-</td><td>3</td><td>4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Mark D. Osten [8]</td><td>16</td><td>30</td><td>46</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>1</td><td>2</td><td>1</td><td>2</td><td>-</td><td>-</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>Ronen Gurvitch [9]</td><td>169</td><td>101</td><td>270</td><td>-</td><td>-</td><td>-</td><td>-</td><td>13</td><td>13</td><td>7</td><td>2</td><td>14</td><td>4</td><td>10</td><td>[EMPTY_CELL]</td></tr><tr><td>ZHAO Quan-ming [10]</td><td>28</td><td>20</td><td>48</td><td>20.6 ± 15.8</td><td>17.3 ± 16.1</td><td>-</td><td>-</td><td>1</td><td>4</td><td>-</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Miriam Puls [11]</td><td>83</td><td>97</td><td>180</td><td>-</td><td>-</td><td>-</td><td>-</td><td>4</td><td>2</td><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>-</td><td>37</td><td>[EMPTY_CELL]</td></tr><tr><td>KONSTANTINOS SPARGIAS [12]</td><td>59</td><td>32</td><td>91</td><td>26 ± 12</td><td>27 ± 15</td><td>[EMPTY_CELL]</td><td>-</td><td>1</td><td>2</td><td>5</td><td>4</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>GERHARD SCHYMIK [13]</td><td>174</td><td>126</td><td>300</td><td>21.9 15.9</td><td>27.0 18.0</td><td>-</td><td>-</td><td>13</td><td>5</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Martine Gilard [14]</td><td>2361</td><td>567</td><td>2928</td><td>21.2 ± 14.7</td><td>24.8 ± 17</td><td>14.5 ± 11.9</td><td>15.1 ±38.8</td><td>190</td><td>77</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>[EMPTY_CELL]</td></tr><tr><td>Himbert [15]</td><td>51</td><td>24</td><td>75</td><td>25 ±13</td><td>28 ± 13</td><td>15 ± 7</td><td>18 ± 9</td><td>4</td><td>4</td><td>3</td><td>10</td><td>6</td><td>2</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>Rodés-Cabau [16]</td><td>168</td><td>177</td><td>345</td><td>-</td><td>-</td><td>9.0 ±5.8</td><td>10.5 ± 6.9</td><td>16</td><td>20</td><td>5</td><td>3</td><td>-</td><td>-</td><td>6</td><td>[EMPTY_CELL]</td></tr><tr><td>Malin Johansson [17]</td><td>10</td><td>30</td><td>40</td><td>25.6 ±15</td><td>23.5 ± 17</td><td>-</td><td>-</td><td>2</td><td>2</td><td>2</td><td>1</td><td>-</td><td>-</td><td>0</td><td>[EMPTY_CELL]</td></tr><tr><td>Martyn Thomasp [18]</td><td>463</td><td>575</td><td>1038</td><td>25.7 ± 14.5</td><td>29.1 ± 16.3</td><td>-</td><td>-</td><td>29</td><td>59</td><td>11</td><td>16</td><td>106</td><td>27</td><td>31</td><td>[EMPTY_CELL]</td></tr><tr><td>ThierryLefe’ vre [19]</td><td>61</td><td>69</td><td>130</td><td>25.7 ± 11.5</td><td>33.8 ±14.4</td><td>11.3 ± 6.1</td><td>11.8 ± 6.8</td><td>5</td><td>3</td><td>2</td><td>1</td><td>17</td><td>3</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>John G. Webb [20]</td><td>113</td><td>55</td><td>168</td><td>-</td><td>-</td><td>-</td><td>-</td><td>9</td><td>10</td><td>6</td><td>1</td><td>9</td><td>2</td><td>5</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study</b>\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"<b>Number of patients TAVI</b>\", \"bbox\": [110, 4, 158, 22]}, {\"cell\": \"<b>Logistic EuroSCORE</b>\", \"bbox\": [170, 4, 240, 13]}, {\"cell\": \"<b>STS SCORE</b>\", \"bbox\": [264, 4, 303, 13]}, {\"cell\": \"<b>30-day outccomes</b>\", \"bbox\": [372, 4, 437, 13]}, {\"cell\": \"<b>(%)*</b>\", \"bbox\": [196, 17, 213, 27]}, {\"cell\": \"<b>(%)*</b>\", \"bbox\": [275, 17, 292, 27]}, {\"cell\": \"<b>Mortality</b>\", \"bbox\": [325, 17, 358, 27]}, {\"cell\": \"<b>Stroke</b>\", \"bbox\": [363, 17, 387, 27]}, {\"cell\": \"<b>Vascular complication</b>\", \"bbox\": [392, 17, 438, 36]}, {\"cell\": \"<b>Heart block</b>\", \"bbox\": [442, 17, 484, 27]}, {\"cell\": \"<b>TF</b>\", \"bbox\": [109, 39, 119, 49]}, {\"cell\": \"<b>TA</b>\", \"bbox\": [127, 39, 139, 49]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [144, 39, 163, 49]}, {\"cell\": \"<b>TF</b>\", \"bbox\": [180, 39, 190, 49]}, {\"cell\": \"<b>TA</b>\", \"bbox\": [219, 39, 230, 49]}, {\"cell\": \"<b>TF</b>\", \"bbox\": [259, 39, 269, 49]}, {\"cell\": \"<b>TA</b>\", \"bbox\": [298, 39, 309, 49]}, {\"cell\": \"<b>TF</b>\", \"bbox\": [327, 39, 338, 49]}, {\"cell\": \"<b>TA</b>\", \"bbox\": [346, 39, 357, 49]}, {\"cell\": \"<b>TF</b>\", \"bbox\": [362, 39, 372, 49]}, {\"cell\": \"<b>TA</b>\", \"bbox\": [376, 39, 387, 49]}, {\"cell\": \"<b>TF</b>\", \"bbox\": [398, 39, 408, 49]}, {\"cell\": \"<b>TA</b>\", \"bbox\": [423, 39, 434, 49]}, {\"cell\": \"<b>TF</b>\", \"bbox\": [446, 39, 457, 49]}, {\"cell\": \"<b>TA</b>\", \"bbox\": [469, 39, 480, 49]}, {\"cell\": \"Rafal Dworakowski [1]\", \"bbox\": [1, 52, 72, 62]}, {\"cell\": \"67\", \"bbox\": [109, 52, 118, 62]}, {\"cell\": \"84\", \"bbox\": [128, 52, 138, 62]}, {\"cell\": \"151\", \"bbox\": [147, 52, 160, 62]}, {\"cell\": \"19.4 ± 1.1\", \"bbox\": [169, 52, 201, 62]}, {\"cell\": \"23.4 ± 1.5\", \"bbox\": [209, 52, 240, 62]}, {\"cell\": \"-\", \"bbox\": [262, 52, 266, 62]}, {\"cell\": \"-\", \"bbox\": [301, 52, 305, 62]}, {\"cell\": \"4\", \"bbox\": [330, 52, 335, 62]}, {\"cell\": \"11\", \"bbox\": [346, 52, 356, 62]}, {\"cell\": \"5\", \"bbox\": [364, 52, 370, 62]}, {\"cell\": \"4\", \"bbox\": [379, 52, 385, 62]}, {\"cell\": \"11\", \"bbox\": [398, 52, 408, 62]}, {\"cell\": \"2\", \"bbox\": [425, 52, 431, 62]}, {\"cell\": \"3\", \"bbox\": [449, 52, 454, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 52, 478, 62]}, {\"cell\": \"Peter Wenaweser [2]\", \"bbox\": [1, 66, 68, 76]}, {\"cell\": \"27\", \"bbox\": [109, 66, 118, 76]}, {\"cell\": \"43\", \"bbox\": [128, 66, 138, 76]}, {\"cell\": \"70\", \"bbox\": [149, 66, 158, 76]}, {\"cell\": \"22.8 ± 13.0\", \"bbox\": [167, 66, 203, 76]}, {\"cell\": \"26.1 ±14.3\", \"bbox\": [207, 66, 242, 76]}, {\"cell\": \"6.3 ± 4.0\", \"bbox\": [250, 66, 278, 76]}, {\"cell\": \"6.3 ± 5.5\", \"bbox\": [289, 66, 317, 76]}, {\"cell\": \"3\", \"bbox\": [330, 66, 335, 76]}, {\"cell\": \"4\", \"bbox\": [348, 66, 354, 76]}, {\"cell\": \"0\", \"bbox\": [364, 66, 370, 76]}, {\"cell\": \"1\", \"bbox\": [379, 66, 385, 76]}, {\"cell\": \"-\", \"bbox\": [401, 66, 405, 76]}, {\"cell\": \"-\", \"bbox\": [426, 66, 430, 76]}, {\"cell\": \"3\", \"bbox\": [449, 66, 454, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 66, 478, 76]}, {\"cell\": \"Cosmo Godino [3]\", \"bbox\": [1, 80, 61, 90]}, {\"cell\": \"107\", \"bbox\": [107, 80, 120, 90]}, {\"cell\": \"15\", \"bbox\": [128, 80, 138, 90]}, {\"cell\": \"222\", \"bbox\": [147, 80, 160, 90]}, {\"cell\": \"26.6 ± 16\", \"bbox\": [170, 80, 200, 90]}, {\"cell\": \"32.2 ± 23\", \"bbox\": [209, 80, 240, 90]}, {\"cell\": \"7 ± 4.9\", \"bbox\": [253, 80, 275, 90]}, {\"cell\": \"8.3 ± 4.2\", \"bbox\": [289, 80, 317, 90]}, {\"cell\": \"1\", \"bbox\": [330, 80, 335, 90]}, {\"cell\": \"2\", \"bbox\": [348, 80, 354, 90]}, {\"cell\": \"-\", \"bbox\": [365, 80, 369, 90]}, {\"cell\": \"-\", \"bbox\": [380, 80, 384, 90]}, {\"cell\": \"-\", \"bbox\": [401, 80, 405, 90]}, {\"cell\": \"-\", \"bbox\": [426, 80, 430, 90]}, {\"cell\": \"-\", \"bbox\": [449, 80, 454, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 80, 477, 90]}, {\"cell\": \"He’ le ‘ ne Eltchaninoff [4]\", \"bbox\": [1, 94, 85, 104]}, {\"cell\": \"161\", \"bbox\": [107, 94, 120, 104]}, {\"cell\": \"71\", \"bbox\": [128, 94, 138, 104]}, {\"cell\": \"232\", \"bbox\": [147, 94, 160, 104]}, {\"cell\": \"-\", \"bbox\": [183, 94, 187, 104]}, {\"cell\": \"-\", \"bbox\": [222, 94, 227, 104]}, {\"cell\": \"-\", \"bbox\": [262, 94, 266, 104]}, {\"cell\": \"-\", \"bbox\": [301, 94, 305, 104]}, {\"cell\": \"18\", \"bbox\": [328, 94, 337, 104]}, {\"cell\": \"12\", \"bbox\": [346, 94, 356, 104]}, {\"cell\": \"7\", \"bbox\": [364, 94, 370, 104]}, {\"cell\": \"2\", \"bbox\": [379, 94, 385, 104]}, {\"cell\": \"-\", \"bbox\": [401, 94, 405, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"22\", \"bbox\": [447, 94, 456, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 94, 478, 104]}, {\"cell\": \"Johan M. Bosmans [5]\", \"bbox\": [1, 108, 72, 118]}, {\"cell\": \"99\", \"bbox\": [109, 108, 118, 118]}, {\"cell\": \"88\", \"bbox\": [128, 108, 138, 118]}, {\"cell\": \"187\", \"bbox\": [147, 108, 160, 118]}, {\"cell\": \"29 ± 15\", \"bbox\": [172, 108, 198, 118]}, {\"cell\": \"33 ± 17\", \"bbox\": [212, 108, 237, 118]}, {\"cell\": \"-\", \"bbox\": [262, 108, 266, 118]}, {\"cell\": \"-\", \"bbox\": [301, 108, 305, 118]}, {\"cell\": \"5\", \"bbox\": [330, 108, 335, 118]}, {\"cell\": \"2\", \"bbox\": [348, 108, 354, 118]}, {\"cell\": \"2\", \"bbox\": [364, 108, 370, 118]}, {\"cell\": \"7\", \"bbox\": [379, 108, 385, 118]}, {\"cell\": \"-\", \"bbox\": [401, 108, 405, 118]}, {\"cell\": \"--\", \"bbox\": [425, 109, 431, 116]}, {\"cell\": \"4\", \"bbox\": [449, 108, 454, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 108, 478, 118]}, {\"cell\": \"Matthias Thielmann [6]\", \"bbox\": [1, 122, 76, 132]}, {\"cell\": \"15\", \"bbox\": [109, 122, 118, 132]}, {\"cell\": \"24\", \"bbox\": [128, 122, 138, 132]}, {\"cell\": \"39\", \"bbox\": [149, 122, 158, 132]}, {\"cell\": \"12.7 ± 0.9\", \"bbox\": [169, 122, 201, 132]}, {\"cell\": \"16.7 ± 4.4\", \"bbox\": [209, 122, 240, 132]}, {\"cell\": \"15.1 ± 4.1\", \"bbox\": [248, 122, 280, 132]}, {\"cell\": \"9.9 ± 7.5\", \"bbox\": [289, 122, 317, 132]}, {\"cell\": \"2\", \"bbox\": [330, 122, 335, 132]}, {\"cell\": \"5\", \"bbox\": [348, 122, 354, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [401, 122, 405, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [449, 122, 454, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 122, 477, 132]}, {\"cell\": \"Nawwar Al-Attar [7]\", \"bbox\": [1, 136, 65, 146]}, {\"cell\": \"35\", \"bbox\": [109, 136, 118, 146]}, {\"cell\": \"15\", \"bbox\": [128, 136, 138, 146]}, {\"cell\": \"50\", \"bbox\": [149, 136, 158, 146]}, {\"cell\": \"-\", \"bbox\": [183, 136, 187, 146]}, {\"cell\": \"-\", \"bbox\": [222, 136, 227, 146]}, {\"cell\": \"-\", \"bbox\": [262, 136, 266, 146]}, {\"cell\": \"-\", \"bbox\": [301, 136, 305, 146]}, {\"cell\": \"3\", \"bbox\": [330, 136, 335, 146]}, {\"cell\": \"4\", \"bbox\": [348, 136, 354, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [401, 136, 405, 146]}, {\"cell\": \"-\", \"bbox\": [426, 136, 430, 146]}, {\"cell\": \"-\", \"bbox\": [449, 136, 454, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 136, 477, 146]}, {\"cell\": \"Mark D. Osten [8]\", \"bbox\": [1, 150, 58, 160]}, {\"cell\": \"16\", \"bbox\": [109, 150, 118, 160]}, {\"cell\": \"30\", \"bbox\": [128, 150, 138, 160]}, {\"cell\": \"46\", \"bbox\": [149, 150, 158, 160]}, {\"cell\": \"-\", \"bbox\": [183, 150, 187, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [262, 150, 266, 160]}, {\"cell\": \"-\", \"bbox\": [301, 150, 305, 160]}, {\"cell\": \"1\", \"bbox\": [330, 150, 335, 160]}, {\"cell\": \"2\", \"bbox\": [348, 150, 354, 160]}, {\"cell\": \"1\", \"bbox\": [364, 150, 370, 160]}, {\"cell\": \"2\", \"bbox\": [379, 150, 385, 160]}, {\"cell\": \"-\", \"bbox\": [401, 150, 405, 160]}, {\"cell\": \"-\", \"bbox\": [426, 150, 430, 160]}, {\"cell\": \"1\", \"bbox\": [449, 150, 454, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 150, 478, 160]}, {\"cell\": \"Ronen Gurvitch [9]\", \"bbox\": [1, 164, 63, 174]}, {\"cell\": \"169\", \"bbox\": [107, 164, 120, 174]}, {\"cell\": \"101\", \"bbox\": [126, 164, 140, 174]}, {\"cell\": \"270\", \"bbox\": [147, 164, 160, 174]}, {\"cell\": \"-\", \"bbox\": [183, 164, 187, 174]}, {\"cell\": \"-\", \"bbox\": [222, 164, 227, 174]}, {\"cell\": \"-\", \"bbox\": [262, 164, 266, 174]}, {\"cell\": \"-\", \"bbox\": [301, 164, 305, 174]}, {\"cell\": \"13\", \"bbox\": [328, 164, 337, 174]}, {\"cell\": \"13\", \"bbox\": [346, 164, 356, 174]}, {\"cell\": \"7\", \"bbox\": [364, 164, 370, 174]}, {\"cell\": \"2\", \"bbox\": [379, 164, 385, 174]}, {\"cell\": \"14\", \"bbox\": [398, 164, 408, 174]}, {\"cell\": \"4\", \"bbox\": [425, 164, 431, 174]}, {\"cell\": \"10\", \"bbox\": [447, 164, 456, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 164, 478, 174]}, {\"cell\": \"ZHAO Quan-ming [10]\", \"bbox\": [1, 178, 75, 188]}, {\"cell\": \"28\", \"bbox\": [109, 178, 118, 188]}, {\"cell\": \"20\", \"bbox\": [128, 178, 138, 188]}, {\"cell\": \"48\", \"bbox\": [149, 178, 158, 188]}, {\"cell\": \"20.6 ± 15.8\", \"bbox\": [167, 178, 203, 188]}, {\"cell\": \"17.3 ± 16.1\", \"bbox\": [207, 178, 242, 188]}, {\"cell\": \"-\", \"bbox\": [262, 178, 266, 188]}, {\"cell\": \"-\", \"bbox\": [301, 178, 305, 188]}, {\"cell\": \"1\", \"bbox\": [330, 178, 335, 188]}, {\"cell\": \"4\", \"bbox\": [348, 178, 354, 188]}, {\"cell\": \"-\", \"bbox\": [365, 178, 369, 188]}, {\"cell\": \"-\", \"bbox\": [380, 178, 384, 188]}, {\"cell\": \"-\", \"bbox\": [401, 178, 405, 188]}, {\"cell\": \"-\", \"bbox\": [426, 178, 430, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Miriam Puls [11]\", \"bbox\": [1, 192, 54, 202]}, {\"cell\": \"83\", \"bbox\": [109, 192, 118, 202]}, {\"cell\": \"97\", \"bbox\": [128, 192, 138, 202]}, {\"cell\": \"180\", \"bbox\": [147, 192, 160, 202]}, {\"cell\": \"-\", \"bbox\": [183, 192, 187, 202]}, {\"cell\": \"-\", \"bbox\": [222, 192, 227, 202]}, {\"cell\": \"-\", \"bbox\": [262, 192, 266, 202]}, {\"cell\": \"-\", \"bbox\": [301, 192, 305, 202]}, {\"cell\": \"4\", \"bbox\": [330, 192, 335, 202]}, {\"cell\": \"2\", \"bbox\": [348, 192, 354, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [380, 192, 384, 202]}, {\"cell\": \"-\", \"bbox\": [401, 192, 405, 202]}, {\"cell\": \"-\", \"bbox\": [426, 192, 430, 202]}, {\"cell\": \"37\", \"bbox\": [447, 192, 456, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 192, 479, 202]}, {\"cell\": \"KONSTANTINOS SPARGIAS [12]\", \"bbox\": [1, 206, 101, 216]}, {\"cell\": \"59\", \"bbox\": [109, 206, 118, 216]}, {\"cell\": \"32\", \"bbox\": [128, 206, 138, 216]}, {\"cell\": \"91\", \"bbox\": [149, 206, 158, 216]}, {\"cell\": \"26 ± 12\", \"bbox\": [172, 206, 198, 216]}, {\"cell\": \"27 ± 15\", \"bbox\": [212, 206, 237, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"-\", \"bbox\": [301, 206, 305, 216]}, {\"cell\": \"1\", \"bbox\": [330, 206, 335, 216]}, {\"cell\": \"2\", \"bbox\": [348, 206, 354, 216]}, {\"cell\": \"5\", \"bbox\": [364, 206, 370, 216]}, {\"cell\": \"4\", \"bbox\": [379, 206, 385, 216]}, {\"cell\": \"-\", \"bbox\": [401, 206, 405, 216]}, {\"cell\": \"-\", \"bbox\": [426, 206, 430, 216]}, {\"cell\": \"-\", \"bbox\": [449, 206, 454, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 206, 477, 216]}, {\"cell\": \"GERHARD SCHYMIK [13]\", \"bbox\": [0, 220, 79, 230]}, {\"cell\": \"174\", \"bbox\": [107, 220, 120, 230]}, {\"cell\": \"126\", \"bbox\": [126, 220, 140, 230]}, {\"cell\": \"300\", \"bbox\": [147, 220, 160, 230]}, {\"cell\": \"21.9 15.9\", \"bbox\": [170, 220, 200, 230]}, {\"cell\": \"27.0 18.0\", \"bbox\": [210, 220, 240, 230]}, {\"cell\": \"-\", \"bbox\": [262, 220, 266, 230]}, {\"cell\": \"-\", \"bbox\": [301, 220, 305, 230]}, {\"cell\": \"13\", \"bbox\": [328, 220, 337, 230]}, {\"cell\": \"5\", \"bbox\": [348, 220, 354, 230]}, {\"cell\": \"-\", \"bbox\": [365, 220, 369, 230]}, {\"cell\": \"-\", \"bbox\": [380, 220, 384, 230]}, {\"cell\": \"-\", \"bbox\": [401, 220, 405, 230]}, {\"cell\": \"-\", \"bbox\": [426, 220, 430, 230]}, {\"cell\": \"-\", \"bbox\": [449, 220, 454, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 220, 477, 230]}, {\"cell\": \"Martine Gilard [14]\", \"bbox\": [1, 234, 62, 244]}, {\"cell\": \"2361\", \"bbox\": [105, 234, 122, 244]}, {\"cell\": \"567\", \"bbox\": [126, 234, 140, 244]}, {\"cell\": \"2928\", \"bbox\": [145, 234, 162, 244]}, {\"cell\": \"21.2 ± 14.7\", \"bbox\": [167, 234, 203, 244]}, {\"cell\": \"24.8 ± 17\", \"bbox\": [209, 234, 240, 244]}, {\"cell\": \"14.5 ± 11.9\", \"bbox\": [246, 234, 282, 244]}, {\"cell\": \"15.1 ±38.8\", \"bbox\": [286, 234, 321, 244]}, {\"cell\": \"190\", \"bbox\": [326, 234, 339, 244]}, {\"cell\": \"77\", \"bbox\": [346, 234, 356, 244]}, {\"cell\": \"-\", \"bbox\": [365, 234, 369, 244]}, {\"cell\": \"-\", \"bbox\": [380, 234, 384, 244]}, {\"cell\": \"-\", \"bbox\": [401, 234, 405, 244]}, {\"cell\": \"-\", \"bbox\": [426, 234, 430, 244]}, {\"cell\": \"-\", \"bbox\": [449, 234, 454, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 234, 477, 244]}, {\"cell\": \"Himbert [15]\", \"bbox\": [1, 248, 43, 258]}, {\"cell\": \"51\", \"bbox\": [109, 248, 118, 258]}, {\"cell\": \"24\", \"bbox\": [128, 248, 138, 258]}, {\"cell\": \"75\", \"bbox\": [149, 248, 158, 258]}, {\"cell\": \"25 ±13\", \"bbox\": [173, 248, 197, 258]}, {\"cell\": \"28 ± 13\", \"bbox\": [212, 248, 237, 258]}, {\"cell\": \"15 ± 7\", \"bbox\": [253, 248, 275, 258]}, {\"cell\": \"18 ± 9\", \"bbox\": [293, 248, 314, 258]}, {\"cell\": \"4\", \"bbox\": [330, 248, 335, 258]}, {\"cell\": \"4\", \"bbox\": [348, 248, 354, 258]}, {\"cell\": \"3\", \"bbox\": [364, 248, 370, 258]}, {\"cell\": \"10\", \"bbox\": [377, 248, 387, 258]}, {\"cell\": \"6\", \"bbox\": [400, 248, 406, 258]}, {\"cell\": \"2\", \"bbox\": [425, 248, 431, 258]}, {\"cell\": \"3\", \"bbox\": [449, 248, 454, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 248, 478, 258]}, {\"cell\": \"Rodés-Cabau [16]\", \"bbox\": [1, 262, 58, 272]}, {\"cell\": \"168\", \"bbox\": [107, 262, 120, 272]}, {\"cell\": \"177\", \"bbox\": [126, 262, 140, 272]}, {\"cell\": \"345\", \"bbox\": [147, 262, 160, 272]}, {\"cell\": \"-\", \"bbox\": [183, 262, 187, 272]}, {\"cell\": \"-\", \"bbox\": [222, 262, 227, 272]}, {\"cell\": \"9.0 ±5.8\", \"bbox\": [251, 262, 278, 272]}, {\"cell\": \"10.5 ± 6.9\", \"bbox\": [287, 262, 319, 272]}, {\"cell\": \"16\", \"bbox\": [328, 262, 337, 272]}, {\"cell\": \"20\", \"bbox\": [346, 262, 356, 272]}, {\"cell\": \"5\", \"bbox\": [364, 262, 370, 272]}, {\"cell\": \"3\", \"bbox\": [379, 262, 385, 272]}, {\"cell\": \"-\", \"bbox\": [401, 262, 405, 272]}, {\"cell\": \"-\", \"bbox\": [426, 262, 430, 272]}, {\"cell\": \"6\", \"bbox\": [449, 262, 454, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 262, 479, 272]}, {\"cell\": \"Malin Johansson [17]\", \"bbox\": [1, 276, 70, 286]}, {\"cell\": \"10\", \"bbox\": [109, 276, 118, 286]}, {\"cell\": \"30\", \"bbox\": [128, 276, 138, 286]}, {\"cell\": \"40\", \"bbox\": [149, 276, 158, 286]}, {\"cell\": \"25.6 ±15\", \"bbox\": [170, 276, 200, 286]}, {\"cell\": \"23.5 ± 17\", \"bbox\": [209, 276, 240, 286]}, {\"cell\": \"-\", \"bbox\": [262, 276, 266, 286]}, {\"cell\": \"-\", \"bbox\": [301, 276, 305, 286]}, {\"cell\": \"2\", \"bbox\": [330, 276, 335, 286]}, {\"cell\": \"2\", \"bbox\": [348, 276, 354, 286]}, {\"cell\": \"2\", \"bbox\": [364, 276, 370, 286]}, {\"cell\": \"1\", \"bbox\": [379, 276, 385, 286]}, {\"cell\": \"-\", \"bbox\": [401, 276, 405, 286]}, {\"cell\": \"-\", \"bbox\": [426, 276, 430, 286]}, {\"cell\": \"0\", \"bbox\": [449, 276, 454, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 276, 478, 286]}, {\"cell\": \"Martyn Thomasp [18]\", \"bbox\": [0, 290, 71, 300]}, {\"cell\": \"463\", \"bbox\": [107, 290, 120, 300]}, {\"cell\": \"575\", \"bbox\": [126, 290, 140, 300]}, {\"cell\": \"1038\", \"bbox\": [145, 290, 162, 300]}, {\"cell\": \"25.7 ± 14.5\", \"bbox\": [167, 290, 203, 300]}, {\"cell\": \"29.1 ± 16.3\", \"bbox\": [207, 290, 242, 300]}, {\"cell\": \"-\", \"bbox\": [262, 290, 266, 300]}, {\"cell\": \"-\", \"bbox\": [301, 290, 305, 300]}, {\"cell\": \"29\", \"bbox\": [328, 290, 337, 300]}, {\"cell\": \"59\", \"bbox\": [346, 290, 356, 300]}, {\"cell\": \"11\", \"bbox\": [362, 290, 372, 300]}, {\"cell\": \"16\", \"bbox\": [377, 290, 387, 300]}, {\"cell\": \"106\", \"bbox\": [396, 290, 409, 300]}, {\"cell\": \"27\", \"bbox\": [423, 290, 433, 300]}, {\"cell\": \"31\", \"bbox\": [447, 290, 456, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [470, 290, 479, 300]}, {\"cell\": \"ThierryLefe’ vre [19]\", \"bbox\": [1, 304, 65, 314]}, {\"cell\": \"61\", \"bbox\": [109, 304, 118, 314]}, {\"cell\": \"69\", \"bbox\": [128, 304, 138, 314]}, {\"cell\": \"130\", \"bbox\": [147, 304, 160, 314]}, {\"cell\": \"25.7 ± 11.5\", \"bbox\": [167, 304, 203, 314]}, {\"cell\": \"33.8 ±14.4\", \"bbox\": [207, 304, 242, 314]}, {\"cell\": \"11.3 ± 6.1\", \"bbox\": [248, 304, 280, 314]}, {\"cell\": \"11.8 ± 6.8\", \"bbox\": [287, 304, 319, 314]}, {\"cell\": \"5\", \"bbox\": [330, 304, 335, 314]}, {\"cell\": \"3\", \"bbox\": [348, 304, 354, 314]}, {\"cell\": \"2\", \"bbox\": [364, 304, 370, 314]}, {\"cell\": \"1\", \"bbox\": [379, 304, 385, 314]}, {\"cell\": \"17\", \"bbox\": [398, 304, 408, 314]}, {\"cell\": \"3\", \"bbox\": [425, 304, 431, 314]}, {\"cell\": \"1\", \"bbox\": [449, 304, 454, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 304, 478, 314]}, {\"cell\": \"John G. Webb [20]\", \"bbox\": [1, 318, 62, 328]}, {\"cell\": \"113\", \"bbox\": [107, 318, 120, 328]}, {\"cell\": \"55\", \"bbox\": [128, 318, 138, 328]}, {\"cell\": \"168\", \"bbox\": [147, 318, 160, 328]}, {\"cell\": \"-\", \"bbox\": [183, 318, 187, 328]}, {\"cell\": \"-\", \"bbox\": [222, 318, 227, 328]}, {\"cell\": \"-\", \"bbox\": [262, 318, 266, 328]}, {\"cell\": \"-\", \"bbox\": [301, 318, 305, 328]}, {\"cell\": \"9\", \"bbox\": [330, 318, 335, 328]}, {\"cell\": \"10\", \"bbox\": [346, 318, 356, 328]}, {\"cell\": \"6\", \"bbox\": [364, 318, 370, 328]}, {\"cell\": \"1\", \"bbox\": [379, 318, 385, 328]}, {\"cell\": \"9\", \"bbox\": [400, 318, 406, 328]}, {\"cell\": \"2\", \"bbox\": [425, 318, 431, 328]}, {\"cell\": \"5\", \"bbox\": [449, 318, 454, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [472, 318, 478, 328]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3722124_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}886{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>21 days</b></td><td><b>35 days</b></td><td><b>50 days</b></td><td><b>100 days</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>30.0 ± 1.4</td><td>167 ± 27</td><td>288 ± 17</td><td>409 ± 20</td></tr><tr><td>[EMPTY_CELL]</td><td>36.0 ± 2.1</td><td>207 ± 16</td><td>319 ± 24</td><td>429 ± 19</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0.51 ± 0.03</td><td>1.27 ± 0.20</td><td>1.48 ± 0.08</td><td>1.31 ± 0.07</td></tr><tr><td>[EMPTY_CELL]</td><td>0.65 ± 0.04*</td><td>1.56 ± 0.13</td><td>1.65 ± 0.10</td><td>1.39 ± 0.04</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>39.5 ± 2.32</td><td>30.4 ± 5.22</td><td>18.3 ± 3.71</td><td>0.22 ± 0.22</td></tr><tr><td>[EMPTY_CELL]</td><td>40.0 ± 4.68</td><td>30.2 ± 5.78</td><td>22.7 ± 3.16</td><td>0.40 ± 0.40</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>24.5 ± 1.65</td><td>38.2 ± 4.17</td><td>41.1 ± 3.40</td><td>57.3 ± 5.21</td></tr><tr><td>[EMPTY_CELL]</td><td>25.9 ± 2.52</td><td>33.5 ± 4.08</td><td>46.6 ± 7.31</td><td>61.8 ± 5.41</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8.0 ± 1.87</td><td>14.9 ± 1.08</td><td>10.1 ± 2.04</td><td>0.2 ± 0.22</td></tr><tr><td>[EMPTY_CELL]</td><td>5.7 ± 1.20</td><td>13.7 ± 1.65</td><td>8.9 ± 1.05</td><td>0.2 ± 0.20</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>30.1 ± 4.58</td><td>43.4 ± 5.74</td><td>42.7 ± 6.41</td></tr><tr><td>[EMPTY_CELL]</td><td>0</td><td>39.0 ± 7.29</td><td>42.9 ± 4.43</td><td>46.2 ± 8.64</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>21 days</b>\", \"bbox\": [232, 4, 259, 14]}, {\"cell\": \"<b>35 days</b>\", \"bbox\": [307, 4, 334, 14]}, {\"cell\": \"<b>50 days</b>\", \"bbox\": [380, 4, 407, 14]}, {\"cell\": \"<b>100 days</b>\", \"bbox\": [449, 4, 481, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 27, 74, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 37, 53, 47]}, {\"cell\": \"30.0 ± 1.4\", \"bbox\": [228, 37, 264, 47]}, {\"cell\": \"167 ± 27\", \"bbox\": [305, 37, 337, 47]}, {\"cell\": \"288 ± 17\", \"bbox\": [377, 37, 409, 47]}, {\"cell\": \"409 ± 20\", \"bbox\": [449, 37, 481, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 47, 40, 57]}, {\"cell\": \"36.0 ± 2.1\", \"bbox\": [228, 47, 264, 57]}, {\"cell\": \"207 ± 16\", \"bbox\": [305, 47, 337, 57]}, {\"cell\": \"319 ± 24\", \"bbox\": [377, 47, 409, 57]}, {\"cell\": \"429 ± 19\", \"bbox\": [449, 47, 481, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 57, 95, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 68, 53, 77]}, {\"cell\": \"0.51 ± 0.03\", \"bbox\": [226, 68, 266, 77]}, {\"cell\": \"1.27 ± 0.20\", \"bbox\": [301, 68, 341, 77]}, {\"cell\": \"1.48 ± 0.08\", \"bbox\": [373, 68, 413, 77]}, {\"cell\": \"1.31 ± 0.07\", \"bbox\": [445, 68, 485, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 78, 40, 88]}, {\"cell\": \"0.65 ± 0.04*\", \"bbox\": [224, 78, 267, 88]}, {\"cell\": \"1.56 ± 0.13\", \"bbox\": [301, 78, 341, 88]}, {\"cell\": \"1.65 ± 0.10\", \"bbox\": [373, 78, 413, 88]}, {\"cell\": \"1.39 ± 0.04\", \"bbox\": [445, 78, 485, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 88, 128, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 98, 70, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 109, 53, 118]}, {\"cell\": \"39.5 ± 2.32\", \"bbox\": [226, 109, 266, 118]}, {\"cell\": \"30.4 ± 5.22\", \"bbox\": [301, 109, 341, 118]}, {\"cell\": \"18.3 ± 3.71\", \"bbox\": [373, 109, 413, 118]}, {\"cell\": \"0.22 ± 0.22\", \"bbox\": [445, 109, 485, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 119, 40, 129]}, {\"cell\": \"40.0 ± 4.68\", \"bbox\": [226, 119, 266, 129]}, {\"cell\": \"30.2 ± 5.78\", \"bbox\": [301, 119, 341, 129]}, {\"cell\": \"22.7 ± 3.16\", \"bbox\": [373, 119, 413, 129]}, {\"cell\": \"0.40 ± 0.40\", \"bbox\": [445, 119, 485, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 129, 67, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 139, 53, 149]}, {\"cell\": \"24.5 ± 1.65\", \"bbox\": [226, 139, 266, 149]}, {\"cell\": \"38.2 ± 4.17\", \"bbox\": [301, 139, 341, 149]}, {\"cell\": \"41.1 ± 3.40\", \"bbox\": [373, 139, 413, 149]}, {\"cell\": \"57.3 ± 5.21\", \"bbox\": [445, 139, 485, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 150, 40, 159]}, {\"cell\": \"25.9 ± 2.52\", \"bbox\": [226, 150, 266, 159]}, {\"cell\": \"33.5 ± 4.08\", \"bbox\": [301, 150, 341, 159]}, {\"cell\": \"46.6 ± 7.31\", \"bbox\": [373, 150, 413, 159]}, {\"cell\": \"61.8 ± 5.41\", \"bbox\": [445, 150, 485, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 160, 66, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 170, 53, 180]}, {\"cell\": \"8.0 ± 1.87\", \"bbox\": [228, 170, 264, 180]}, {\"cell\": \"14.9 ± 1.08\", \"bbox\": [301, 170, 341, 180]}, {\"cell\": \"10.1 ± 2.04\", \"bbox\": [373, 170, 413, 180]}, {\"cell\": \"0.2 ± 0.22\", \"bbox\": [447, 170, 483, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 180, 40, 190]}, {\"cell\": \"5.7 ± 1.20\", \"bbox\": [228, 180, 264, 190]}, {\"cell\": \"13.7 ± 1.65\", \"bbox\": [301, 180, 341, 190]}, {\"cell\": \"8.9 ± 1.05\", \"bbox\": [375, 180, 411, 190]}, {\"cell\": \"0.2 ± 0.20\", \"bbox\": [447, 180, 483, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [14, 191, 73, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 201, 53, 211]}, {\"cell\": \"0\", \"bbox\": [243, 201, 249, 211]}, {\"cell\": \"30.1 ± 4.58\", \"bbox\": [301, 201, 341, 211]}, {\"cell\": \"43.4 ± 5.74\", \"bbox\": [373, 201, 413, 211]}, {\"cell\": \"42.7 ± 6.41\", \"bbox\": [445, 201, 485, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 211, 40, 221]}, {\"cell\": \"0\", \"bbox\": [243, 211, 249, 221]}, {\"cell\": \"39.0 ± 7.29\", \"bbox\": [301, 211, 341, 221]}, {\"cell\": \"42.9 ± 4.43\", \"bbox\": [373, 211, 413, 221]}, {\"cell\": \"46.2 ± 8.64\", \"bbox\": [445, 211, 485, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2200869_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}887{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Interindividual associations between covariables and lnTnT (OLS)</b></td><td colspan=\\\"2\\\"><b>Intraindividual associations between covariables and lnTnT (LMM)</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Index admission in 99 patients</b></td><td colspan=\\\"2\\\"><b>161 repeat admissions in 41 patients</b></td></tr><tr><td><b>Covariable</b></td><td><b>Change in covariable</b></td><td><b>exp(β) (95% CI)</b></td><td><b><i>p</i>-value</b></td><td><b>exp(β) (95% CI)</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td>MAP</td><td>+5 mmHg</td><td>[EMPTY_CELL]</td><td>0.944</td><td>1.003 (0.98 – 1.03)</td><td>0.792</td></tr><tr><td>Creatinine</td><td>+10 μmol/L</td><td>[EMPTY_CELL]</td><td>0.004</td><td>1.10 (1.04 – 1.16)</td><td>0.0004</td></tr><tr><td>CRP</td><td>+10 mg/L</td><td>[EMPTY_CELL]</td><td>0.680</td><td>1.005 (0.99 – 1.02)</td><td>0.478</td></tr><tr><td>Neutrophil count</td><td>+5x10<sup>9</sup>/mL</td><td>[EMPTY_CELL]</td><td>0.555</td><td>1.005 (0.99 – 1.02)</td><td>0.468</td></tr><tr><td>Hemoglobin</td><td>+1 g/L</td><td>[EMPTY_CELL]</td><td>0.477</td><td>1.03 (0.68 – 1.6)</td><td>0.902</td></tr><tr><td>Heart rate</td><td>+5 bpm</td><td>[EMPTY_CELL]</td><td>0.392</td><td>1.02 (0.998 – 1.04)</td><td>0.078</td></tr><tr><td>PaCO<sub>2</sub>*</td><td>+1 kPa</td><td>[EMPTY_CELL]</td><td>0.195</td><td>1.05 (0.98 – 1.12)</td><td>0.144</td></tr><tr><td>PaO<sub>2</sub>*</td><td>+1 kPa</td><td>[EMPTY_CELL]</td><td>0.573</td><td>0.96 (0.94 – 0.99)</td><td>0.008</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Interindividual associations between covariables and lnTnT (OLS)</b>\", \"bbox\": [168, 4, 296, 22]}, {\"cell\": \"<b>Intraindividual associations between covariables and lnTnT (LMM)</b>\", \"bbox\": [335, 4, 463, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Index admission in 99 patients</b>\", \"bbox\": [168, 26, 276, 35]}, {\"cell\": \"<b>161 repeat admissions in 41 patients</b>\", \"bbox\": [335, 26, 464, 35]}, {\"cell\": \"<b>Covariable</b>\", \"bbox\": [1, 39, 39, 48]}, {\"cell\": \"<b>Change in covariable</b>\", \"bbox\": [75, 39, 150, 48]}, {\"cell\": \"<b>exp(β) (95% CI)</b>\", \"bbox\": [168, 39, 223, 48]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [269, 39, 297, 48]}, {\"cell\": \"<b>exp(β) (95% CI)</b>\", \"bbox\": [335, 39, 389, 48]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [457, 39, 484, 48]}, {\"cell\": \"MAP\", \"bbox\": [1, 52, 17, 62]}, {\"cell\": \"+5 mmHg\", \"bbox\": [75, 52, 110, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 52, 231, 62]}, {\"cell\": \"0.944\", \"bbox\": [269, 52, 288, 62]}, {\"cell\": \"1.003 (0.98 – 1.03)\", \"bbox\": [335, 52, 394, 62]}, {\"cell\": \"0.792\", \"bbox\": [466, 52, 484, 62]}, {\"cell\": \"Creatinine\", \"bbox\": [1, 66, 35, 75]}, {\"cell\": \"+10 μmol/L\", \"bbox\": [75, 66, 115, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 66, 224, 75]}, {\"cell\": \"0.004\", \"bbox\": [269, 66, 288, 75]}, {\"cell\": \"1.10 (1.04 – 1.16)\", \"bbox\": [335, 66, 390, 75]}, {\"cell\": \"0.0004\", \"bbox\": [462, 66, 484, 75]}, {\"cell\": \"CRP\", \"bbox\": [1, 80, 15, 89]}, {\"cell\": \"+10 mg/L\", \"bbox\": [75, 80, 109, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 80, 224, 89]}, {\"cell\": \"0.680\", \"bbox\": [269, 80, 288, 89]}, {\"cell\": \"1.005 (0.99 – 1.02)\", \"bbox\": [335, 80, 394, 89]}, {\"cell\": \"0.478\", \"bbox\": [466, 80, 484, 89]}, {\"cell\": \"Neutrophil count\", \"bbox\": [1, 94, 57, 103]}, {\"cell\": \"+5x10<sup>9</sup>/mL\", \"bbox\": [75, 92, 112, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 94, 224, 103]}, {\"cell\": \"0.555\", \"bbox\": [269, 94, 288, 103]}, {\"cell\": \"1.005 (0.99 – 1.02)\", \"bbox\": [335, 94, 394, 103]}, {\"cell\": \"0.468\", \"bbox\": [466, 94, 484, 103]}, {\"cell\": \"Hemoglobin\", \"bbox\": [1, 108, 42, 117]}, {\"cell\": \"+1 g/L\", \"bbox\": [75, 108, 99, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 108, 224, 117]}, {\"cell\": \"0.477\", \"bbox\": [269, 108, 288, 117]}, {\"cell\": \"1.03 (0.68 – 1.6)\", \"bbox\": [335, 108, 386, 117]}, {\"cell\": \"0.902\", \"bbox\": [466, 108, 484, 117]}, {\"cell\": \"Heart rate\", \"bbox\": [1, 122, 34, 131]}, {\"cell\": \"+5 bpm\", \"bbox\": [75, 122, 103, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 122, 224, 131]}, {\"cell\": \"0.392\", \"bbox\": [269, 122, 288, 131]}, {\"cell\": \"1.02 (0.998 – 1.04)\", \"bbox\": [335, 122, 394, 131]}, {\"cell\": \"0.078\", \"bbox\": [466, 122, 484, 131]}, {\"cell\": \"PaCO<sub>2</sub>*\", \"bbox\": [1, 136, 26, 146]}, {\"cell\": \"+1 kPa\", \"bbox\": [75, 136, 99, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 136, 224, 145]}, {\"cell\": \"0.195\", \"bbox\": [269, 136, 288, 145]}, {\"cell\": \"1.05 (0.98 – 1.12)\", \"bbox\": [335, 136, 390, 145]}, {\"cell\": \"0.144\", \"bbox\": [466, 136, 484, 145]}, {\"cell\": \"PaO<sub>2</sub>*\", \"bbox\": [1, 150, 21, 160]}, {\"cell\": \"+1 kPa\", \"bbox\": [75, 150, 99, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 150, 224, 159]}, {\"cell\": \"0.573\", \"bbox\": [269, 150, 288, 159]}, {\"cell\": \"0.96 (0.94 – 0.99)\", \"bbox\": [335, 150, 390, 159]}, {\"cell\": \"0.008\", \"bbox\": [466, 150, 484, 159]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3391169_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}888{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Function annotation</b></td><td><b>Gene number</b></td><td><b>Spot No.</b></td><td><b>P-value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>9, 17, 26, 6, 4, 19, 10, 27, 11</td><td>1.1E-5</td></tr><tr><td>[EMPTY_CELL]</td><td>10</td><td>29, 3, 9, 17, 26, 11, 6, 4, 19, 27</td><td>3.9E-4</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>29, 25, 3, 9, 8, 28, 7</td><td>4.4E-3</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>29, 25, 9, 28, 7</td><td>5.0E-3</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>9, 26, 8, 28, 7</td><td>1.4E-5</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>11, 27, 4, 19, 10</td><td>3.9E-4</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>3, 23, 8, 28, 7</td><td>1.3E-2</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>3, 17, 26, 6</td><td>1.5E-4</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>9, 8</td><td>2E-4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>9, 17, 26, 11, 15, 27, 4, 19</td><td>4.4E-5</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>17, 11, 6, 26, 19</td><td>2.0E-2</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>1, 12, 8, 28, 7</td><td>8.5E-3</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>25, 8, 28, 7</td><td>1.1E-4</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>9, 2, 18</td><td>3.7E-2</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>18, 2</td><td>1.0E-2</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>17, 26</td><td>1.2E-2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Function annotation</b>\", \"bbox\": [1, 4, 73, 13]}, {\"cell\": \"<b>Gene number</b>\", \"bbox\": [105, 4, 135, 22]}, {\"cell\": \"<b>Spot No.</b>\", \"bbox\": [139, 4, 171, 13]}, {\"cell\": \"<b>P-value</b>\", \"bbox\": [208, 4, 236, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 53, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 63, 50]}, {\"cell\": \"9\", \"bbox\": [105, 40, 111, 50]}, {\"cell\": \"9, 17, 26, 6, 4, 19, 10, 27, 11\", \"bbox\": [139, 40, 196, 59]}, {\"cell\": \"1.1E-5\", \"bbox\": [208, 40, 229, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 63, 44, 73]}, {\"cell\": \"10\", \"bbox\": [105, 63, 115, 73]}, {\"cell\": \"29, 3, 9, 17, 26, 11, 6, 4, 19, 27\", \"bbox\": [139, 63, 200, 82]}, {\"cell\": \"3.9E-4\", \"bbox\": [208, 63, 229, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 78, 96]}, {\"cell\": \"7\", \"bbox\": [105, 86, 111, 96]}, {\"cell\": \"29, 25, 3, 9, 8, 28, 7\", \"bbox\": [139, 86, 202, 96]}, {\"cell\": \"4.4E-3\", \"bbox\": [208, 86, 229, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 100, 74, 119]}, {\"cell\": \"5\", \"bbox\": [105, 100, 111, 110]}, {\"cell\": \"29, 25, 9, 28, 7\", \"bbox\": [139, 100, 187, 110]}, {\"cell\": \"5.0E-3\", \"bbox\": [208, 100, 229, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 69, 142]}, {\"cell\": \"5\", \"bbox\": [105, 123, 111, 133]}, {\"cell\": \"9, 26, 8, 28, 7\", \"bbox\": [139, 123, 183, 133]}, {\"cell\": \"1.4E-5\", \"bbox\": [208, 123, 229, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 146, 70, 165]}, {\"cell\": \"5\", \"bbox\": [105, 146, 111, 156]}, {\"cell\": \"11, 27, 4, 19, 10\", \"bbox\": [139, 146, 191, 156]}, {\"cell\": \"3.9E-4\", \"bbox\": [208, 146, 229, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 169, 68, 179]}, {\"cell\": \"5\", \"bbox\": [105, 169, 111, 179]}, {\"cell\": \"3, 23, 8, 28, 7\", \"bbox\": [139, 169, 183, 179]}, {\"cell\": \"1.3E-2\", \"bbox\": [208, 169, 229, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 183, 81, 202]}, {\"cell\": \"4\", \"bbox\": [105, 183, 111, 193]}, {\"cell\": \"3, 17, 26, 6\", \"bbox\": [139, 183, 176, 193]}, {\"cell\": \"1.5E-4\", \"bbox\": [208, 183, 229, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 206, 100, 216]}, {\"cell\": \"2\", \"bbox\": [105, 206, 111, 216]}, {\"cell\": \"9, 8\", \"bbox\": [139, 206, 153, 216]}, {\"cell\": \"2E-4\", \"bbox\": [208, 206, 224, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 220, 63, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 234, 93, 244]}, {\"cell\": \"8\", \"bbox\": [105, 234, 111, 244]}, {\"cell\": \"9, 17, 26, 11, 15, 27, 4, 19\", \"bbox\": [139, 234, 203, 253]}, {\"cell\": \"4.4E-5\", \"bbox\": [208, 234, 229, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 257, 82, 267]}, {\"cell\": \"5\", \"bbox\": [105, 257, 111, 267]}, {\"cell\": \"17, 11, 6, 26, 19\", \"bbox\": [139, 257, 191, 267]}, {\"cell\": \"2.0E-2\", \"bbox\": [208, 257, 229, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 271, 52, 281]}, {\"cell\": \"5\", \"bbox\": [105, 271, 111, 281]}, {\"cell\": \"1, 12, 8, 28, 7\", \"bbox\": [139, 271, 183, 281]}, {\"cell\": \"8.5E-3\", \"bbox\": [208, 271, 229, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 285, 64, 295]}, {\"cell\": \"4\", \"bbox\": [105, 285, 111, 295]}, {\"cell\": \"25, 8, 28, 7\", \"bbox\": [139, 285, 176, 295]}, {\"cell\": \"1.1E-4\", \"bbox\": [208, 285, 229, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 299, 88, 309]}, {\"cell\": \"3\", \"bbox\": [105, 299, 111, 309]}, {\"cell\": \"9, 2, 18\", \"bbox\": [139, 299, 164, 309]}, {\"cell\": \"3.7E-2\", \"bbox\": [208, 299, 229, 309]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 313, 91, 332]}, {\"cell\": \"2\", \"bbox\": [105, 313, 111, 323]}, {\"cell\": \"18, 2\", \"bbox\": [139, 313, 157, 323]}, {\"cell\": \"1.0E-2\", \"bbox\": [208, 313, 229, 323]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 336, 51, 346]}, {\"cell\": \"2\", \"bbox\": [105, 336, 111, 346]}, {\"cell\": \"17, 26\", \"bbox\": [139, 336, 160, 346]}, {\"cell\": \"1.2E-2\", \"bbox\": [208, 336, 229, 346]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4172931_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}889{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\" colspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>DKP/TRAM</b></td><td colspan=\\\"3\\\"><b>DKP</b></td><td colspan=\\\"3\\\"><b>TRAM</b></td><td><b>Overall</b></td></tr><tr><td><b>SDP placebo (<i>N</i> = 51)</b></td><td><b>SDP active (<i>N</i> = 152)</b></td><td><b>All (<i>N</i> = 203)</b></td><td><b>SDP placebo (<i>N</i> = 51)</b></td><td><b>SDP active (<i>N</i> = 151)</b></td><td><b>All (<i>N</i> = 202)</b></td><td><b>SDP placebo (<i>N</i> = 51)</b></td><td><b>SDP active (<i>N</i> = 150)</b></td><td><b>All (<i>N</i> = 201)</b></td><td><b>Overall (<i>N</i> = 606)</b></td></tr></thead><tbody><tr><td>Race N (%)</td><td>White</td><td>51 (100 %)</td><td>152 (100 %)</td><td>203 (100 %)</td><td>51 (100 %)</td><td>151 (100 %)</td><td>202 (100 %)</td><td>51 (100 %)</td><td>[EMPTY_CELL]</td><td>201 (100 %)</td><td>606 (100 %)</td></tr><tr><td rowspan=\\\"4\\\">Age (years)</td><td>mean</td><td>47</td><td>48</td><td>48</td><td>47</td><td>47</td><td>47</td><td>47</td><td>[EMPTY_CELL]</td><td>48</td><td>48</td></tr><tr><td>SD</td><td>6.8</td><td>6.7</td><td>6.7</td><td>7.5</td><td>7.1</td><td>7.2</td><td>4.6</td><td>6.9</td><td>[EMPTY_CELL]</td><td>6.8</td></tr><tr><td>min</td><td>35</td><td>25</td><td>25</td><td>30</td><td>31</td><td>30</td><td>39</td><td>32</td><td>[EMPTY_CELL]</td><td>25</td></tr><tr><td>max</td><td>69</td><td>73</td><td>73</td><td>71</td><td>70</td><td>71</td><td>61</td><td>68</td><td>[EMPTY_CELL]</td><td>73</td></tr><tr><td rowspan=\\\"4\\\">Height (cm)</td><td>mean</td><td>165</td><td>164</td><td>164</td><td>164</td><td>164</td><td>164</td><td>164</td><td>[EMPTY_CELL]</td><td>164</td><td>164</td></tr><tr><td>SD</td><td>6.2</td><td>5.4</td><td>5.6</td><td>5.9</td><td>6.4</td><td>6.3</td><td>5.6</td><td>6.1</td><td>[EMPTY_CELL]</td><td>5.9</td></tr><tr><td>min</td><td>149</td><td>152</td><td>149</td><td>136</td><td>151</td><td>136</td><td>153</td><td>149</td><td>[EMPTY_CELL]</td><td>136</td></tr><tr><td>max</td><td>175</td><td>176</td><td>176</td><td>175</td><td>183</td><td>183</td><td>176</td><td>182</td><td>[EMPTY_CELL]</td><td>183</td></tr><tr><td rowspan=\\\"4\\\">Weight (kg)</td><td>mean</td><td>74</td><td>75</td><td>75</td><td>73</td><td>72</td><td>72</td><td>73</td><td>[EMPTY_CELL]</td><td>72</td><td>73</td></tr><tr><td>SD</td><td>14</td><td>15</td><td>15</td><td>15</td><td>14</td><td>14</td><td>11</td><td>12</td><td>[EMPTY_CELL]</td><td>14</td></tr><tr><td>min</td><td>52</td><td>48</td><td>48</td><td>50</td><td>45</td><td>45</td><td>50</td><td>49</td><td>[EMPTY_CELL]</td><td>45</td></tr><tr><td>max</td><td>114</td><td>120</td><td>120</td><td>112</td><td>110</td><td>112</td><td>90</td><td>106</td><td>[EMPTY_CELL]</td><td>120</td></tr><tr><td rowspan=\\\"8\\\">Country</td><td>Hungary</td><td>8 (16 %)</td><td>22 (15 %)</td><td>30 (15 %)</td><td>7 (14 %)</td><td>19 (13 %)</td><td>26 (13 %)</td><td>7 (14 %)</td><td>[EMPTY_CELL]</td><td>33 (16 %)</td><td>89 (15 %)</td></tr><tr><td>Latvia</td><td>7 (14 %)</td><td>22 (15 %)</td><td>29 (14 %)</td><td>4 (7.8 %)</td><td>17 (11 %)</td><td>21 (10 %)</td><td>5 (9.8 %)</td><td>17 (11 %)</td><td>[EMPTY_CELL]</td><td>72 (12 %)</td></tr><tr><td>Lithuania</td><td>1 (2.0 %)</td><td>2 (1.3 %)</td><td>3 (1.5 %)</td><td>1 (2.0 %)</td><td>4 (2.6 %)</td><td>5 (2.5 %)</td><td>3 (5.9 %)</td><td>3 (2.0 %)</td><td>[EMPTY_CELL]</td><td>14 (2.3 %)</td></tr><tr><td>Poland</td><td>18 (35 %)</td><td>63 (41 %)</td><td>81 (40 %)</td><td>23 (45 %)</td><td>53 (35 %)</td><td>76 (38 %)</td><td>17 (33 %)</td><td>60 (40 %)</td><td>[EMPTY_CELL]</td><td>234 (39 %)</td></tr><tr><td>Romania</td><td>10 (20 %)</td><td>32 (21 %)</td><td>42 (21 %)</td><td>12 (24 %)</td><td>40 (27 %)</td><td>52 (26 %)</td><td>12 (24 %)</td><td>32 (21 %)</td><td>[EMPTY_CELL]</td><td>138 (23 %)</td></tr><tr><td>Russian Federation</td><td>2 (3.9 %)</td><td>3 (2.0 %)</td><td>5 (2.5 %)</td><td>2 (3.9 %)</td><td>3 (2.0 %)</td><td>5 (2.5 %)</td><td>2 (3.9 %)</td><td>3 (2.0 %)</td><td>[EMPTY_CELL]</td><td>15 (2.5 %)</td></tr><tr><td>Slovakia</td><td>5 (9.8 %)</td><td>7 (4.6 %)</td><td>12 (5.9 %)</td><td>2 (3.9 %)</td><td>13 (8.6 %)</td><td>15 (7.4 %)</td><td>4 (7.8 %)</td><td>8 (5.3 %)</td><td>[EMPTY_CELL]</td><td>39 (6.4 %)</td></tr><tr><td>Spain</td><td>0 (0 %)</td><td>1 (0.7 %)</td><td>1 (0.5 %)</td><td>0 (0 %)</td><td>2 (1.3 %)</td><td>2 (1.0 %)</td><td>1 (2.0 %)</td><td>1 (0.7 %)</td><td>[EMPTY_CELL]</td><td>5 (0.8 %)</td></tr><tr><td rowspan=\\\"2\\\">Baseline PI (VAS) N (%)</td><td>moderate</td><td>19 (37 %)</td><td>59 (39 %)</td><td>78 (38 %)</td><td>19 (37 %)</td><td>58 (38 %)</td><td>77 (38 %)</td><td>19 (38 %)</td><td>[EMPTY_CELL]</td><td>76 (38 %)</td><td>231 (38 %)</td></tr><tr><td>severe</td><td>32 (63 %)</td><td>93 (61 %)</td><td>125 (62 %)</td><td>32 (63 %)</td><td>93 (62 %)</td><td>125 (62 %)</td><td>31 (62 %)</td><td>93 (62 %)</td><td>[EMPTY_CELL]</td><td>374 (62 %)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DKP/TRAM</b>\", \"bbox\": [127, 4, 164, 13]}, {\"cell\": \"<b>DKP</b>\", \"bbox\": [287, 4, 302, 13]}, {\"cell\": \"<b>TRAM</b>\", \"bbox\": [446, 4, 467, 13]}, {\"cell\": \"<b>Overall</b>\", \"bbox\": [606, 4, 629, 13]}, {\"cell\": \"<b>SDP placebo (<i>N</i> = 51)</b>\", \"bbox\": [127, 17, 170, 36]}, {\"cell\": \"<b>SDP active (<i>N</i> = 152)</b>\", \"bbox\": [182, 17, 218, 36]}, {\"cell\": \"<b>All (<i>N</i> = 203)</b>\", \"bbox\": [235, 17, 265, 36]}, {\"cell\": \"<b>SDP placebo (<i>N</i> = 51)</b>\", \"bbox\": [287, 17, 329, 36]}, {\"cell\": \"<b>SDP active (<i>N</i> = 151)</b>\", \"bbox\": [342, 17, 378, 36]}, {\"cell\": \"<b>All (<i>N</i> = 202)</b>\", \"bbox\": [394, 17, 424, 36]}, {\"cell\": \"<b>SDP placebo (<i>N</i> = 51)</b>\", \"bbox\": [446, 17, 489, 36]}, {\"cell\": \"<b>SDP active (<i>N</i> = 150)</b>\", \"bbox\": [501, 17, 537, 36]}, {\"cell\": \"<b>All (<i>N</i> = 201)</b>\", \"bbox\": [553, 17, 584, 36]}, {\"cell\": \"<b>Overall (<i>N</i> = 606)</b>\", \"bbox\": [606, 17, 636, 36]}, {\"cell\": \"Race N (%)\", \"bbox\": [0, 39, 37, 49]}, {\"cell\": \"White\", \"bbox\": [53, 39, 74, 49]}, {\"cell\": \"51 (100 %)\", \"bbox\": [127, 39, 163, 49]}, {\"cell\": \"152 (100 %)\", \"bbox\": [182, 39, 222, 49]}, {\"cell\": \"203 (100 %)\", \"bbox\": [235, 39, 274, 49]}, {\"cell\": \"51 (100 %)\", \"bbox\": [287, 39, 323, 49]}, {\"cell\": \"151 (100 %)\", \"bbox\": [342, 39, 382, 49]}, {\"cell\": \"202 (100 %)\", \"bbox\": [394, 39, 434, 49]}, {\"cell\": \"51 (100 %)\", \"bbox\": [446, 39, 482, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [501, 39, 541, 49]}, {\"cell\": \"201 (100 %)\", \"bbox\": [553, 39, 593, 49]}, {\"cell\": \"606 (100 %)\", \"bbox\": [606, 39, 645, 49]}, {\"cell\": \"Age (years)\", \"bbox\": [0, 53, 38, 63]}, {\"cell\": \"mean\", \"bbox\": [53, 53, 73, 63]}, {\"cell\": \"47\", \"bbox\": [127, 53, 137, 63]}, {\"cell\": \"48\", \"bbox\": [182, 53, 192, 63]}, {\"cell\": \"48\", \"bbox\": [235, 53, 244, 63]}, {\"cell\": \"47\", \"bbox\": [287, 53, 296, 63]}, {\"cell\": \"47\", \"bbox\": [342, 53, 351, 63]}, {\"cell\": \"47\", \"bbox\": [394, 53, 404, 63]}, {\"cell\": \"47\", \"bbox\": [446, 53, 456, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [501, 53, 511, 63]}, {\"cell\": \"48\", \"bbox\": [553, 53, 563, 63]}, {\"cell\": \"48\", \"bbox\": [606, 53, 615, 63]}, {\"cell\": \"SD\", \"bbox\": [53, 67, 64, 77]}, {\"cell\": \"6.8\", \"bbox\": [127, 67, 138, 77]}, {\"cell\": \"6.7\", \"bbox\": [182, 67, 193, 77]}, {\"cell\": \"6.7\", \"bbox\": [235, 67, 246, 77]}, {\"cell\": \"7.5\", \"bbox\": [287, 67, 298, 77]}, {\"cell\": \"7.1\", \"bbox\": [342, 67, 353, 77]}, {\"cell\": \"7.2\", \"bbox\": [394, 67, 405, 77]}, {\"cell\": \"4.6\", \"bbox\": [446, 67, 457, 77]}, {\"cell\": \"6.9\", \"bbox\": [501, 67, 512, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 67, 564, 77]}, {\"cell\": \"6.8\", \"bbox\": [606, 67, 617, 77]}, {\"cell\": \"min\", \"bbox\": [53, 81, 67, 91]}, {\"cell\": \"35\", \"bbox\": [127, 81, 137, 91]}, {\"cell\": \"25\", \"bbox\": [182, 81, 192, 91]}, {\"cell\": \"25\", \"bbox\": [235, 81, 244, 91]}, {\"cell\": \"30\", \"bbox\": [287, 81, 296, 91]}, {\"cell\": \"31\", \"bbox\": [342, 81, 351, 91]}, {\"cell\": \"30\", \"bbox\": [394, 81, 404, 91]}, {\"cell\": \"39\", \"bbox\": [446, 81, 456, 91]}, {\"cell\": \"32\", \"bbox\": [501, 81, 511, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 81, 563, 91]}, {\"cell\": \"25\", \"bbox\": [606, 81, 615, 91]}, {\"cell\": \"max\", \"bbox\": [53, 95, 68, 105]}, {\"cell\": \"69\", \"bbox\": [127, 95, 137, 105]}, {\"cell\": \"73\", \"bbox\": [182, 95, 192, 105]}, {\"cell\": \"73\", \"bbox\": [235, 95, 244, 105]}, {\"cell\": \"71\", \"bbox\": [287, 95, 296, 105]}, {\"cell\": \"70\", \"bbox\": [342, 95, 351, 105]}, {\"cell\": \"71\", \"bbox\": [394, 95, 404, 105]}, {\"cell\": \"61\", \"bbox\": [446, 95, 456, 105]}, {\"cell\": \"68\", \"bbox\": [501, 95, 511, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 95, 563, 105]}, {\"cell\": \"73\", \"bbox\": [606, 95, 615, 105]}, {\"cell\": \"Height (cm)\", \"bbox\": [0, 109, 40, 119]}, {\"cell\": \"mean\", \"bbox\": [53, 109, 73, 119]}, {\"cell\": \"165\", \"bbox\": [127, 109, 141, 119]}, {\"cell\": \"164\", \"bbox\": [182, 109, 196, 119]}, {\"cell\": \"164\", \"bbox\": [235, 109, 248, 119]}, {\"cell\": \"164\", \"bbox\": [287, 109, 300, 119]}, {\"cell\": \"164\", \"bbox\": [342, 109, 355, 119]}, {\"cell\": \"164\", \"bbox\": [394, 109, 407, 119]}, {\"cell\": \"164\", \"bbox\": [446, 109, 460, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [501, 109, 515, 119]}, {\"cell\": \"164\", \"bbox\": [553, 109, 567, 119]}, {\"cell\": \"164\", \"bbox\": [606, 109, 619, 119]}, {\"cell\": \"SD\", \"bbox\": [53, 123, 64, 133]}, {\"cell\": \"6.2\", \"bbox\": [127, 123, 138, 133]}, {\"cell\": \"5.4\", \"bbox\": [182, 123, 193, 133]}, {\"cell\": \"5.6\", \"bbox\": [235, 123, 246, 133]}, {\"cell\": \"5.9\", \"bbox\": [287, 123, 298, 133]}, {\"cell\": \"6.4\", \"bbox\": [342, 123, 353, 133]}, {\"cell\": \"6.3\", \"bbox\": [394, 123, 405, 133]}, {\"cell\": \"5.6\", \"bbox\": [446, 123, 457, 133]}, {\"cell\": \"6.1\", \"bbox\": [501, 123, 512, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 123, 564, 133]}, {\"cell\": \"5.9\", \"bbox\": [606, 123, 617, 133]}, {\"cell\": \"min\", \"bbox\": [53, 137, 67, 147]}, {\"cell\": \"149\", \"bbox\": [127, 137, 141, 147]}, {\"cell\": \"152\", \"bbox\": [182, 137, 196, 147]}, {\"cell\": \"149\", \"bbox\": [235, 137, 248, 147]}, {\"cell\": \"136\", \"bbox\": [287, 137, 300, 147]}, {\"cell\": \"151\", \"bbox\": [342, 137, 355, 147]}, {\"cell\": \"136\", \"bbox\": [394, 137, 407, 147]}, {\"cell\": \"153\", \"bbox\": [446, 137, 460, 147]}, {\"cell\": \"149\", \"bbox\": [501, 137, 515, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 137, 567, 147]}, {\"cell\": \"136\", \"bbox\": [606, 137, 619, 147]}, {\"cell\": \"max\", \"bbox\": [53, 151, 68, 161]}, {\"cell\": \"175\", \"bbox\": [127, 151, 141, 161]}, {\"cell\": \"176\", \"bbox\": [182, 151, 196, 161]}, {\"cell\": \"176\", \"bbox\": [235, 151, 248, 161]}, {\"cell\": \"175\", \"bbox\": [287, 151, 300, 161]}, {\"cell\": \"183\", \"bbox\": [342, 151, 355, 161]}, {\"cell\": \"183\", \"bbox\": [394, 151, 407, 161]}, {\"cell\": \"176\", \"bbox\": [446, 151, 460, 161]}, {\"cell\": \"182\", \"bbox\": [501, 151, 515, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 151, 567, 161]}, {\"cell\": \"183\", \"bbox\": [606, 151, 619, 161]}, {\"cell\": \"Weight (kg)\", \"bbox\": [0, 165, 40, 175]}, {\"cell\": \"mean\", \"bbox\": [53, 165, 73, 175]}, {\"cell\": \"74\", \"bbox\": [127, 165, 137, 175]}, {\"cell\": \"75\", \"bbox\": [182, 165, 192, 175]}, {\"cell\": \"75\", \"bbox\": [235, 165, 244, 175]}, {\"cell\": \"73\", \"bbox\": [287, 165, 296, 175]}, {\"cell\": \"72\", \"bbox\": [342, 165, 351, 175]}, {\"cell\": \"72\", \"bbox\": [394, 165, 404, 175]}, {\"cell\": \"73\", \"bbox\": [446, 165, 456, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [501, 165, 511, 175]}, {\"cell\": \"72\", \"bbox\": [553, 165, 563, 175]}, {\"cell\": \"73\", \"bbox\": [606, 165, 615, 175]}, {\"cell\": \"SD\", \"bbox\": [53, 179, 64, 189]}, {\"cell\": \"14\", \"bbox\": [127, 179, 137, 189]}, {\"cell\": \"15\", \"bbox\": [182, 179, 192, 189]}, {\"cell\": \"15\", \"bbox\": [235, 179, 244, 189]}, {\"cell\": \"15\", \"bbox\": [287, 179, 296, 189]}, {\"cell\": \"14\", \"bbox\": [342, 179, 351, 189]}, {\"cell\": \"14\", \"bbox\": [394, 179, 404, 189]}, {\"cell\": \"11\", \"bbox\": [446, 179, 456, 189]}, {\"cell\": \"12\", \"bbox\": [501, 179, 511, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 179, 563, 189]}, {\"cell\": \"14\", \"bbox\": [606, 179, 615, 189]}, {\"cell\": \"min\", \"bbox\": [53, 193, 67, 203]}, {\"cell\": \"52\", \"bbox\": [127, 193, 137, 203]}, {\"cell\": \"48\", \"bbox\": [182, 193, 192, 203]}, {\"cell\": \"48\", \"bbox\": [235, 193, 244, 203]}, {\"cell\": \"50\", \"bbox\": [287, 193, 296, 203]}, {\"cell\": \"45\", \"bbox\": [342, 193, 351, 203]}, {\"cell\": \"45\", \"bbox\": [394, 193, 404, 203]}, {\"cell\": \"50\", \"bbox\": [446, 193, 456, 203]}, {\"cell\": \"49\", \"bbox\": [501, 193, 511, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 193, 563, 203]}, {\"cell\": \"45\", \"bbox\": [606, 193, 615, 203]}, {\"cell\": \"max\", \"bbox\": [53, 207, 68, 217]}, {\"cell\": \"114\", \"bbox\": [127, 207, 141, 217]}, {\"cell\": \"120\", \"bbox\": [182, 207, 196, 217]}, {\"cell\": \"120\", \"bbox\": [235, 207, 248, 217]}, {\"cell\": \"112\", \"bbox\": [287, 207, 300, 217]}, {\"cell\": \"110\", \"bbox\": [342, 207, 355, 217]}, {\"cell\": \"112\", \"bbox\": [394, 207, 407, 217]}, {\"cell\": \"90\", \"bbox\": [446, 207, 456, 217]}, {\"cell\": \"106\", \"bbox\": [501, 207, 515, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 207, 567, 217]}, {\"cell\": \"120\", \"bbox\": [606, 207, 619, 217]}, {\"cell\": \"Country\", \"bbox\": [0, 221, 28, 231]}, {\"cell\": \"Hungary\", \"bbox\": [53, 221, 82, 231]}, {\"cell\": \"8 (16 %)\", \"bbox\": [127, 221, 156, 231]}, {\"cell\": \"22 (15 %)\", \"bbox\": [182, 221, 214, 231]}, {\"cell\": \"30 (15 %)\", \"bbox\": [235, 221, 267, 231]}, {\"cell\": \"7 (14 %)\", \"bbox\": [287, 221, 315, 231]}, {\"cell\": \"19 (13 %)\", \"bbox\": [342, 221, 374, 231]}, {\"cell\": \"26 (13 %)\", \"bbox\": [394, 221, 426, 231]}, {\"cell\": \"7 (14 %)\", \"bbox\": [446, 221, 474, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [501, 221, 533, 231]}, {\"cell\": \"33 (16 %)\", \"bbox\": [553, 221, 585, 231]}, {\"cell\": \"89 (15 %)\", \"bbox\": [606, 221, 638, 231]}, {\"cell\": \"Latvia\", \"bbox\": [53, 235, 73, 245]}, {\"cell\": \"7 (14 %)\", \"bbox\": [127, 235, 156, 245]}, {\"cell\": \"22 (15 %)\", \"bbox\": [182, 235, 214, 245]}, {\"cell\": \"29 (14 %)\", \"bbox\": [235, 235, 267, 245]}, {\"cell\": \"4 (7.8 %)\", \"bbox\": [287, 235, 316, 245]}, {\"cell\": \"17 (11 %)\", \"bbox\": [342, 235, 374, 245]}, {\"cell\": \"21 (10 %)\", \"bbox\": [394, 235, 426, 245]}, {\"cell\": \"5 (9.8 %)\", \"bbox\": [446, 235, 476, 245]}, {\"cell\": \"17 (11 %)\", \"bbox\": [501, 235, 533, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 235, 585, 245]}, {\"cell\": \"72 (12 %)\", \"bbox\": [606, 235, 638, 245]}, {\"cell\": \"Lithuania\", \"bbox\": [53, 249, 84, 259]}, {\"cell\": \"1 (2.0 %)\", \"bbox\": [127, 249, 157, 259]}, {\"cell\": \"2 (1.3 %)\", \"bbox\": [182, 249, 212, 259]}, {\"cell\": \"3 (1.5 %)\", \"bbox\": [235, 249, 264, 259]}, {\"cell\": \"1 (2.0 %)\", \"bbox\": [287, 249, 316, 259]}, {\"cell\": \"4 (2.6 %)\", \"bbox\": [342, 249, 371, 259]}, {\"cell\": \"5 (2.5 %)\", \"bbox\": [394, 249, 424, 259]}, {\"cell\": \"3 (5.9 %)\", \"bbox\": [446, 249, 476, 259]}, {\"cell\": \"3 (2.0 %)\", \"bbox\": [501, 249, 531, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 249, 583, 259]}, {\"cell\": \"14 (2.3 %)\", \"bbox\": [606, 249, 639, 259]}, {\"cell\": \"Poland\", \"bbox\": [53, 263, 77, 273]}, {\"cell\": \"18 (35 %)\", \"bbox\": [127, 263, 159, 273]}, {\"cell\": \"63 (41 %)\", \"bbox\": [182, 263, 214, 273]}, {\"cell\": \"81 (40 %)\", \"bbox\": [235, 263, 267, 273]}, {\"cell\": \"23 (45 %)\", \"bbox\": [287, 263, 319, 273]}, {\"cell\": \"53 (35 %)\", \"bbox\": [342, 263, 374, 273]}, {\"cell\": \"76 (38 %)\", \"bbox\": [394, 263, 426, 273]}, {\"cell\": \"17 (33 %)\", \"bbox\": [446, 263, 478, 273]}, {\"cell\": \"60 (40 %)\", \"bbox\": [501, 263, 533, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 263, 585, 273]}, {\"cell\": \"234 (39 %)\", \"bbox\": [606, 263, 641, 273]}, {\"cell\": \"Romania\", \"bbox\": [53, 277, 83, 287]}, {\"cell\": \"10 (20 %)\", \"bbox\": [127, 277, 159, 287]}, {\"cell\": \"32 (21 %)\", \"bbox\": [182, 277, 214, 287]}, {\"cell\": \"42 (21 %)\", \"bbox\": [235, 277, 267, 287]}, {\"cell\": \"12 (24 %)\", \"bbox\": [287, 277, 319, 287]}, {\"cell\": \"40 (27 %)\", \"bbox\": [342, 277, 374, 287]}, {\"cell\": \"52 (26 %)\", \"bbox\": [394, 277, 426, 287]}, {\"cell\": \"12 (24 %)\", \"bbox\": [446, 277, 478, 287]}, {\"cell\": \"32 (21 %)\", \"bbox\": [501, 277, 533, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 277, 585, 287]}, {\"cell\": \"138 (23 %)\", \"bbox\": [606, 277, 641, 287]}, {\"cell\": \"Russian Federation\", \"bbox\": [53, 291, 115, 301]}, {\"cell\": \"2 (3.9 %)\", \"bbox\": [127, 291, 157, 301]}, {\"cell\": \"3 (2.0 %)\", \"bbox\": [182, 291, 212, 301]}, {\"cell\": \"5 (2.5 %)\", \"bbox\": [235, 291, 264, 301]}, {\"cell\": \"2 (3.9 %)\", \"bbox\": [287, 291, 316, 301]}, {\"cell\": \"3 (2.0 %)\", \"bbox\": [342, 291, 371, 301]}, {\"cell\": \"5 (2.5 %)\", \"bbox\": [394, 291, 424, 301]}, {\"cell\": \"2 (3.9 %)\", \"bbox\": [446, 291, 476, 301]}, {\"cell\": \"3 (2.0 %)\", \"bbox\": [501, 291, 531, 301]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 291, 583, 301]}, {\"cell\": \"15 (2.5 %)\", \"bbox\": [606, 291, 639, 301]}, {\"cell\": \"Slovakia\", \"bbox\": [53, 305, 80, 315]}, {\"cell\": \"5 (9.8 %)\", \"bbox\": [127, 305, 157, 315]}, {\"cell\": \"7 (4.6 %)\", \"bbox\": [182, 305, 212, 315]}, {\"cell\": \"12 (5.9 %)\", \"bbox\": [235, 305, 268, 315]}, {\"cell\": \"2 (3.9 %)\", \"bbox\": [287, 305, 316, 315]}, {\"cell\": \"13 (8.6 %)\", \"bbox\": [342, 305, 375, 315]}, {\"cell\": \"15 (7.4 %)\", \"bbox\": [394, 305, 427, 315]}, {\"cell\": \"4 (7.8 %)\", \"bbox\": [446, 305, 476, 315]}, {\"cell\": \"8 (5.3 %)\", \"bbox\": [501, 305, 531, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 305, 587, 315]}, {\"cell\": \"39 (6.4 %)\", \"bbox\": [606, 305, 639, 315]}, {\"cell\": \"Spain\", \"bbox\": [53, 319, 72, 329]}, {\"cell\": \"0 (0 %)\", \"bbox\": [127, 319, 152, 329]}, {\"cell\": \"1 (0.7 %)\", \"bbox\": [182, 319, 212, 329]}, {\"cell\": \"1 (0.5 %)\", \"bbox\": [235, 319, 264, 329]}, {\"cell\": \"0 (0 %)\", \"bbox\": [287, 319, 311, 329]}, {\"cell\": \"2 (1.3 %)\", \"bbox\": [342, 319, 371, 329]}, {\"cell\": \"2 (1.0 %)\", \"bbox\": [394, 319, 424, 329]}, {\"cell\": \"1 (2.0 %)\", \"bbox\": [446, 319, 476, 329]}, {\"cell\": \"1 (0.7 %)\", \"bbox\": [501, 319, 531, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 319, 583, 329]}, {\"cell\": \"5 (0.8 %)\", \"bbox\": [606, 319, 635, 329]}, {\"cell\": \"Baseline PI (VAS) N (%)\", \"bbox\": [0, 333, 38, 352]}, {\"cell\": \"moderate\", \"bbox\": [53, 333, 86, 343]}, {\"cell\": \"19 (37 %)\", \"bbox\": [127, 333, 159, 343]}, {\"cell\": \"59 (39 %)\", \"bbox\": [182, 333, 214, 343]}, {\"cell\": \"78 (38 %)\", \"bbox\": [235, 333, 267, 343]}, {\"cell\": \"19 (37 %)\", \"bbox\": [287, 333, 319, 343]}, {\"cell\": \"58 (38 %)\", \"bbox\": [342, 333, 374, 343]}, {\"cell\": \"77 (38 %)\", \"bbox\": [394, 333, 426, 343]}, {\"cell\": \"19 (38 %)\", \"bbox\": [446, 333, 478, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [501, 333, 533, 343]}, {\"cell\": \"76 (38 %)\", \"bbox\": [553, 333, 585, 343]}, {\"cell\": \"231 (38 %)\", \"bbox\": [606, 333, 641, 343]}, {\"cell\": \"severe\", \"bbox\": [53, 347, 75, 357]}, {\"cell\": \"32 (63 %)\", \"bbox\": [127, 347, 159, 357]}, {\"cell\": \"93 (61 %)\", \"bbox\": [182, 347, 214, 357]}, {\"cell\": \"125 (62 %)\", \"bbox\": [235, 347, 270, 357]}, {\"cell\": \"32 (63 %)\", \"bbox\": [287, 347, 319, 357]}, {\"cell\": \"93 (62 %)\", \"bbox\": [342, 347, 374, 357]}, {\"cell\": \"125 (62 %)\", \"bbox\": [394, 347, 430, 357]}, {\"cell\": \"31 (62 %)\", \"bbox\": [446, 347, 478, 357]}, {\"cell\": \"93 (62 %)\", \"bbox\": [501, 347, 533, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [553, 347, 589, 357]}, {\"cell\": \"374 (62 %)\", \"bbox\": [606, 347, 641, 357]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4724087_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}890{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Factor</b></td><td><b># Respondents</b></td><td><b>1st trimester PNC (%)</b></td><td><b>Late or no PNC (%)</b></td></tr></thead><tbody><tr><td>Overall</td><td>[EMPTY_CELL]</td><td>92.35</td><td>7.65</td></tr><tr><td colspan=\\\"4\\\">Age group (years)</td></tr><tr><td> 16–18</td><td>[EMPTY_CELL]</td><td>100</td><td>0</td></tr><tr><td> 19–24</td><td>[EMPTY_CELL]</td><td>90</td><td>10</td></tr><tr><td> 25–34</td><td>[EMPTY_CELL]</td><td>95</td><td>5</td></tr><tr><td> 35–44</td><td>[EMPTY_CELL]</td><td>88</td><td>12</td></tr><tr><td colspan=\\\"4\\\">Number of pregnancies*</td></tr><tr><td> One</td><td>[EMPTY_CELL]</td><td>87</td><td>13</td></tr><tr><td> Two or more</td><td>[EMPTY_CELL]</td><td>95</td><td>5</td></tr><tr><td colspan=\\\"4\\\">Healthy start participant</td></tr><tr><td> Yes</td><td>[EMPTY_CELL]</td><td>95</td><td>5</td></tr><tr><td> No</td><td>[EMPTY_CELL]</td><td>91</td><td>9</td></tr><tr><td colspan=\\\"4\\\">Location of care</td></tr><tr><td> US</td><td>[EMPTY_CELL]</td><td>93</td><td>7</td></tr><tr><td> Mexico</td><td>[EMPTY_CELL]</td><td>90</td><td>10</td></tr><tr><td> Both</td><td>[EMPTY_CELL]</td><td>90</td><td>10</td></tr><tr><td colspan=\\\"4\\\">Last saw doctor for health</td></tr><tr><td> Past 6 months</td><td>[EMPTY_CELL]</td><td>94</td><td>6</td></tr><tr><td> Past 12 months</td><td>[EMPTY_CELL]</td><td>91</td><td>9</td></tr><tr><td> Over 1 year ago</td><td>[EMPTY_CELL]</td><td>90</td><td>10</td></tr><tr><td colspan=\\\"4\\\">Site</td></tr><tr><td> CA</td><td>[EMPTY_CELL]</td><td>93</td><td>7</td></tr><tr><td> AZ</td><td>[EMPTY_CELL]</td><td>98</td><td>2</td></tr><tr><td> NM-1</td><td>[EMPTY_CELL]</td><td>93</td><td>7</td></tr><tr><td> NM-2</td><td>[EMPTY_CELL]</td><td>95</td><td>5</td></tr><tr><td> TX</td><td>[EMPTY_CELL]</td><td>82</td><td>16</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Factor</b>\", \"bbox\": [1, 4, 24, 14]}, {\"cell\": \"<b># Respondents</b>\", \"bbox\": [79, 4, 131, 14]}, {\"cell\": \"<b>1st trimester PNC (%)</b>\", \"bbox\": [148, 4, 192, 24]}, {\"cell\": \"<b>Late or no PNC (%)</b>\", \"bbox\": [204, 4, 233, 34]}, {\"cell\": \"Overall\", \"bbox\": [1, 43, 28, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 43, 94, 53]}, {\"cell\": \"92.35\", \"bbox\": [148, 43, 169, 53]}, {\"cell\": \"7.65\", \"bbox\": [204, 43, 221, 53]}, {\"cell\": \"Age group (years)\", \"bbox\": [1, 56, 64, 66]}, {\"cell\": \" 16–18\", \"bbox\": [6, 68, 29, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 68, 89, 78]}, {\"cell\": \"100\", \"bbox\": [148, 68, 162, 78]}, {\"cell\": \"0\", \"bbox\": [204, 68, 211, 78]}, {\"cell\": \" 19–24\", \"bbox\": [6, 81, 29, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 81, 89, 90]}, {\"cell\": \"90\", \"bbox\": [148, 81, 158, 90]}, {\"cell\": \"10\", \"bbox\": [204, 81, 215, 90]}, {\"cell\": \" 25–34\", \"bbox\": [6, 93, 29, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 93, 94, 103]}, {\"cell\": \"95\", \"bbox\": [148, 93, 158, 103]}, {\"cell\": \"5\", \"bbox\": [204, 93, 211, 103]}, {\"cell\": \" 35–44\", \"bbox\": [6, 106, 29, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 106, 89, 115]}, {\"cell\": \"88\", \"bbox\": [148, 106, 158, 115]}, {\"cell\": \"12\", \"bbox\": [204, 106, 215, 115]}, {\"cell\": \"Number of pregnancies*\", \"bbox\": [1, 118, 86, 128]}, {\"cell\": \" One\", \"bbox\": [6, 131, 22, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 131, 94, 140]}, {\"cell\": \"87\", \"bbox\": [148, 131, 158, 140]}, {\"cell\": \"13\", \"bbox\": [204, 131, 215, 140]}, {\"cell\": \" Two or more\", \"bbox\": [6, 143, 51, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 143, 94, 153]}, {\"cell\": \"95\", \"bbox\": [148, 143, 158, 153]}, {\"cell\": \"5\", \"bbox\": [204, 143, 211, 153]}, {\"cell\": \"Healthy start participant\", \"bbox\": [1, 155, 85, 165]}, {\"cell\": \" Yes\", \"bbox\": [6, 168, 20, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 168, 94, 178]}, {\"cell\": \"95\", \"bbox\": [148, 168, 158, 178]}, {\"cell\": \"5\", \"bbox\": [204, 168, 211, 178]}, {\"cell\": \" No\", \"bbox\": [6, 180, 18, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 180, 94, 190]}, {\"cell\": \"91\", \"bbox\": [148, 180, 158, 190]}, {\"cell\": \"9\", \"bbox\": [204, 180, 211, 190]}, {\"cell\": \"Location of care\", \"bbox\": [1, 193, 58, 203]}, {\"cell\": \" US\", \"bbox\": [6, 205, 19, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 205, 94, 215]}, {\"cell\": \"93\", \"bbox\": [148, 205, 158, 215]}, {\"cell\": \"7\", \"bbox\": [204, 205, 211, 215]}, {\"cell\": \" Mexico\", \"bbox\": [6, 218, 34, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 218, 89, 228]}, {\"cell\": \"90\", \"bbox\": [148, 218, 158, 228]}, {\"cell\": \"10\", \"bbox\": [204, 218, 215, 228]}, {\"cell\": \" Both\", \"bbox\": [6, 230, 24, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 230, 89, 240]}, {\"cell\": \"90\", \"bbox\": [148, 230, 158, 240]}, {\"cell\": \"10\", \"bbox\": [204, 230, 215, 240]}, {\"cell\": \"Last saw doctor for health\", \"bbox\": [1, 243, 91, 253]}, {\"cell\": \" Past 6 months\", \"bbox\": [6, 255, 55, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 255, 94, 265]}, {\"cell\": \"94\", \"bbox\": [148, 255, 158, 265]}, {\"cell\": \"6\", \"bbox\": [204, 255, 211, 265]}, {\"cell\": \" Past 12 months\", \"bbox\": [6, 268, 60, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 268, 89, 278]}, {\"cell\": \"91\", \"bbox\": [148, 268, 158, 278]}, {\"cell\": \"9\", \"bbox\": [204, 268, 211, 278]}, {\"cell\": \" Over 1 year ago\", \"bbox\": [6, 280, 62, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 280, 89, 290]}, {\"cell\": \"90\", \"bbox\": [148, 280, 158, 290]}, {\"cell\": \"10\", \"bbox\": [204, 280, 215, 290]}, {\"cell\": \"Site\", \"bbox\": [1, 293, 16, 303]}, {\"cell\": \" CA\", \"bbox\": [6, 305, 19, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 305, 89, 315]}, {\"cell\": \"93\", \"bbox\": [148, 305, 158, 315]}, {\"cell\": \"7\", \"bbox\": [204, 305, 211, 315]}, {\"cell\": \" AZ\", \"bbox\": [6, 318, 19, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 318, 90, 328]}, {\"cell\": \"98\", \"bbox\": [148, 318, 158, 328]}, {\"cell\": \"2\", \"bbox\": [204, 318, 211, 328]}, {\"cell\": \" NM-1\", \"bbox\": [6, 330, 29, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 330, 94, 340]}, {\"cell\": \"93\", \"bbox\": [148, 330, 158, 340]}, {\"cell\": \"7\", \"bbox\": [204, 330, 211, 340]}, {\"cell\": \" NM-2\", \"bbox\": [6, 343, 29, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 343, 90, 353]}, {\"cell\": \"95\", \"bbox\": [148, 343, 158, 353]}, {\"cell\": \"5\", \"bbox\": [204, 343, 211, 353]}, {\"cell\": \" TX\", \"bbox\": [6, 355, 19, 365]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [79, 355, 90, 365]}, {\"cell\": \"82\", \"bbox\": [148, 355, 158, 365]}, {\"cell\": \"16\", \"bbox\": [204, 355, 215, 365]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5736790_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}891{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"5\\\"><b>EGFR<sub>CKD-EPI</sub>Categories</b></td></tr></thead><tbody><tr><td><b>EGFR</b><sub><b>MDRD</b></sub><b>Categories</b></td><td>>120</td><td>90-119</td><td>[EMPTY_CELL]</td><td>30-59</td><td><30</td></tr><tr><td><b>>120</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Reclassified, N <sup>b</sup> (%)<sup>c</sup></td><td>2,416 (88.3)</td><td>312 (11.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>All-Cause Mortality</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Deaths, N <sup>b</sup></td><td>126</td><td>101</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>HR (95% CI)</td><td>REFERENCE</td><td>0.57 (0.26-1.26)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>CVD Mortality</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Deaths <sup>b</sup></td><td>28</td><td>36</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>HR (95% CI)</td><td>REFERENCE</td><td>0.37 (0.15-0.94)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>90-119</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Reclassified, N <sup>b</sup> (%)<sup>c</sup></td><td>1,473 (20.2)</td><td>4,969 (78.4)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>All-Cause Mortality</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Deaths, N <sup>b</sup></td><td>53</td><td>604</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>HR (95% CI)</td><td>1.42 (0.85-2.37)</td><td>REFERENCE</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>CVD Mortality</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Deaths <sup>b</sup></td><td>13</td><td>193</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>HR (95% CI)</td><td>2.95 (1.03-8.42)</td><td>REFERENCE</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>60-89</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Reclassified, N <sup>b</sup> (%)<sup>c</sup></td><td>[EMPTY_CELL]</td><td>1,870 (42.9)</td><td>[EMPTY_CELL]</td><td>72 (0.5)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>All-Cause Mortality</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Deaths, N <sup>b</sup></td><td>[EMPTY_CELL]</td><td>216</td><td>[EMPTY_CELL]</td><td>66</td><td>[EMPTY_CELL]</td></tr><tr><td>HR (95% CI)</td><td>[EMPTY_CELL]</td><td>1.13 (0.91-1.42)</td><td>[EMPTY_CELL]</td><td>1.31 (1.01-1.69)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>CVD Mortality</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Deaths <sup>b</sup></td><td>[EMPTY_CELL]</td><td>74</td><td>[EMPTY_CELL]</td><td>31</td><td>[EMPTY_CELL]</td></tr><tr><td>HR (95% CI)</td><td>[EMPTY_CELL]</td><td>1.02 (0.69-1.50)</td><td>[EMPTY_CELL]</td><td>1.42 (1.01-1.99)</td><td>[EMPTY_CELL]</td></tr><tr><td><b>30-59</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Reclassified, N <sup>b</sup> (%)<sup>c</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>883 (79.5)</td><td>12 (1.1) <sup>d</sup></td></tr><tr><td><b>All-Cause Mortality</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Deaths, N <sup>b</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>708</td><td>11</td></tr><tr><td>HR (95% CI)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>REFERENCE</td><td>N/A</td></tr><tr><td><b>CVD Mortality</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Deaths <sup>b</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>381</td><td>6</td></tr><tr><td>HR (95% CI)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>REFERENCE</td><td>N/A</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>EGFR<sub>CKD-EPI</sub>Categories</b>\", \"bbox\": [114, 4, 194, 14]}, {\"cell\": \"<b>EGFR</b><sub><b>MDRD</b></sub><b>Categories</b>\", \"bbox\": [1, 17, 78, 27]}, {\"cell\": \">120\", \"bbox\": [114, 17, 133, 26]}, {\"cell\": \"90-119\", \"bbox\": [199, 17, 222, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 17, 303, 26]}, {\"cell\": \"30-59\", \"bbox\": [369, 17, 388, 26]}, {\"cell\": \"<30\", \"bbox\": [454, 17, 469, 26]}, {\"cell\": \"<b>>120</b>\", \"bbox\": [1, 30, 22, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reclassified, N <sup>b</sup> (%)<sup>c</sup>\", \"bbox\": [1, 42, 68, 52]}, {\"cell\": \"2,416 (88.3)\", \"bbox\": [114, 43, 152, 52]}, {\"cell\": \"312 (11.7)\", \"bbox\": [199, 43, 232, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All-Cause Mortality</b>\", \"bbox\": [1, 57, 71, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths, N <sup>b</sup>\", \"bbox\": [1, 68, 39, 78]}, {\"cell\": \"126\", \"bbox\": [114, 70, 127, 78]}, {\"cell\": \"101\", \"bbox\": [199, 70, 212, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 83, 40, 92]}, {\"cell\": \"REFERENCE\", \"bbox\": [114, 83, 152, 92]}, {\"cell\": \"0.57 (0.26-1.26)\", \"bbox\": [199, 83, 248, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>CVD Mortality</b>\", \"bbox\": [1, 96, 53, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths <sup>b</sup>\", \"bbox\": [1, 107, 30, 118]}, {\"cell\": \"28\", \"bbox\": [114, 109, 123, 118]}, {\"cell\": \"36\", \"bbox\": [199, 109, 208, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 122, 40, 131]}, {\"cell\": \"REFERENCE\", \"bbox\": [114, 122, 152, 131]}, {\"cell\": \"0.37 (0.15-0.94)\", \"bbox\": [199, 122, 248, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>90-119</b>\", \"bbox\": [1, 135, 27, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reclassified, N <sup>b</sup> (%)<sup>c</sup>\", \"bbox\": [1, 147, 68, 157]}, {\"cell\": \"1,473 (20.2)\", \"bbox\": [114, 149, 152, 157]}, {\"cell\": \"4,969 (78.4)\", \"bbox\": [199, 149, 237, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 149, 313, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All-Cause Mortality</b>\", \"bbox\": [1, 162, 71, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths, N <sup>b</sup>\", \"bbox\": [1, 173, 39, 184]}, {\"cell\": \"53\", \"bbox\": [114, 175, 123, 184]}, {\"cell\": \"604\", \"bbox\": [199, 175, 212, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 175, 297, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 188, 40, 197]}, {\"cell\": \"1.42 (0.85-2.37)\", \"bbox\": [114, 188, 163, 197]}, {\"cell\": \"REFERENCE\", \"bbox\": [199, 188, 237, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 188, 333, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>CVD Mortality</b>\", \"bbox\": [1, 201, 53, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths <sup>b</sup>\", \"bbox\": [1, 213, 30, 223]}, {\"cell\": \"13\", \"bbox\": [114, 214, 123, 223]}, {\"cell\": \"193\", \"bbox\": [199, 214, 212, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 214, 293, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 227, 40, 236]}, {\"cell\": \"2.95 (1.03-8.42)\", \"bbox\": [114, 227, 163, 236]}, {\"cell\": \"REFERENCE\", \"bbox\": [199, 227, 237, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 227, 333, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>60-89</b>\", \"bbox\": [1, 241, 23, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reclassified, N <sup>b</sup> (%)<sup>c</sup>\", \"bbox\": [1, 252, 68, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1,870 (42.9)\", \"bbox\": [199, 254, 237, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 254, 322, 262]}, {\"cell\": \"72 (0.5)\", \"bbox\": [369, 254, 394, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All-Cause Mortality</b>\", \"bbox\": [1, 267, 71, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths, N <sup>b</sup>\", \"bbox\": [1, 278, 39, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"216\", \"bbox\": [199, 280, 212, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 280, 302, 289]}, {\"cell\": \"66\", \"bbox\": [369, 280, 378, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 293, 40, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.13 (0.91-1.42)\", \"bbox\": [199, 293, 248, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 293, 322, 302]}, {\"cell\": \"1.31 (1.01-1.69)\", \"bbox\": [369, 293, 418, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>CVD Mortality</b>\", \"bbox\": [1, 306, 53, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths <sup>b</sup>\", \"bbox\": [1, 318, 30, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"74\", \"bbox\": [199, 319, 208, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 319, 297, 328]}, {\"cell\": \"31\", \"bbox\": [369, 319, 378, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 333, 40, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.02 (0.69-1.50)\", \"bbox\": [199, 333, 248, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 333, 322, 341]}, {\"cell\": \"1.42 (1.01-1.99)\", \"bbox\": [369, 333, 418, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>30-59</b>\", \"bbox\": [1, 346, 23, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Reclassified, N <sup>b</sup> (%)<sup>c</sup>\", \"bbox\": [1, 357, 68, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 359, 316, 368]}, {\"cell\": \"883 (79.5)\", \"bbox\": [369, 359, 401, 368]}, {\"cell\": \"12 (1.1) <sup>d</sup>\", \"bbox\": [454, 357, 484, 368]}, {\"cell\": \"<b>All-Cause Mortality</b>\", \"bbox\": [1, 372, 71, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths, N <sup>b</sup>\", \"bbox\": [1, 384, 39, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 385, 293, 394]}, {\"cell\": \"708\", \"bbox\": [369, 385, 382, 394]}, {\"cell\": \"11\", \"bbox\": [454, 385, 463, 394]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 398, 40, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 398, 333, 407]}, {\"cell\": \"REFERENCE\", \"bbox\": [369, 398, 407, 407]}, {\"cell\": \"N/A\", \"bbox\": [454, 398, 468, 407]}, {\"cell\": \"<b>CVD Mortality</b>\", \"bbox\": [1, 412, 53, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Deaths <sup>b</sup>\", \"bbox\": [1, 423, 30, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 425, 293, 433]}, {\"cell\": \"381\", \"bbox\": [369, 425, 382, 433]}, {\"cell\": \"6\", \"bbox\": [454, 425, 459, 433]}, {\"cell\": \"HR (95% CI)\", \"bbox\": [1, 438, 40, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [284, 438, 331, 447]}, {\"cell\": \"REFERENCE\", \"bbox\": [369, 438, 407, 447]}, {\"cell\": \"N/A\", \"bbox\": [454, 438, 468, 447]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3447668_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}892{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Variable</b></td><td colspan=\\\"4\\\"><b>PFS</b></td><td colspan=\\\"4\\\"><b>OS</b></td></tr><tr><td colspan=\\\"2\\\"><b>Univariate</b></td><td colspan=\\\"2\\\"><b>Multivariate</b></td><td colspan=\\\"2\\\"><b>Univariate</b></td><td colspan=\\\"2\\\"><b>Multivariate</b></td></tr><tr><td><b>HR (95% CI)</b></td><td><b><i>P</i> value<sup>a</sup></b></td><td><b>HR (95% CI)</b></td><td><b><i>P</i> value<sup>a</sup></b></td><td><b>HR (95% CI)</b></td><td><b><i>P</i> value<sup>a</sup></b></td><td><b>HR (95% CI)</b></td><td><b><i>P</i> value<sup>a</sup></b></td></tr></thead><tbody><tr><td>Age</td><td>1.000 (0.986–1.014)</td><td>0.980</td><td>0.993 (0.977–1.009)</td><td>0.381</td><td>[EMPTY_CELL]</td><td>0.480</td><td>0.996 (0.973–1.020)</td><td>0.757</td></tr><tr><td>Sex (men vs. women)</td><td>1.149 (0.830–1.590)</td><td>0.404</td><td>1.520 (0.916–2.522)</td><td>0.105</td><td>[EMPTY_CELL]</td><td>0.055</td><td>1.776 (0.890–3.544)</td><td>0.103</td></tr><tr><td>Smoking status (ever vs. never)</td><td>0.907 (0.628–1.311)</td><td>0.604</td><td>0.616 (0.363–1.044)</td><td>0.072</td><td>[EMPTY_CELL]</td><td>0.282</td><td>0.835 (0.405–1.722)</td><td>0.626</td></tr><tr><td>ECOG PS (2 vs. 0-1)</td><td>0.969 (0.523–1.796)</td><td>0.921</td><td>1.019 (0.536–1.935)</td><td>0.955</td><td>[EMPTY_CELL]</td><td>0.903</td><td>1.281 (0.531–3.091)</td><td>0.582</td></tr><tr><td>EGFR-TKI (erlotinib vs. gefitinib)</td><td>0.828 (0.531–1.291)</td><td>0.405</td><td>0.765 (0.448–1.307)</td><td>0.327</td><td>[EMPTY_CELL]</td><td>0.295</td><td>0.756 (0.357–1.603)</td><td>0.466</td></tr><tr><td>EGFR-TKI (icotinib vs. gefitinib)</td><td>0.652 (0.359–1.184)</td><td>0.160</td><td>0.702 (0.362–1.361)</td><td>0.295</td><td>[EMPTY_CELL]</td><td>0.306</td><td>0.255 (0.063–1.037)</td><td>0.056</td></tr><tr><td>Stage (IIIB vs. IV)</td><td>0.552 (0.203–1.498)</td><td>0.243</td><td>0.402 (0.119–1.356)</td><td>0.142</td><td>[EMPTY_CELL]</td><td>0.826</td><td>0.600 (0.144–2.506)</td><td>0.483</td></tr><tr><td><i>EGFR</i> mutation (exon 19 del vs. L858R mutation)</td><td>0.705 (0.509–0.976)</td><td>0.035</td><td>0.631 (0.432–0.920)</td><td>0.017</td><td>[EMPTY_CELL]</td><td>0.566</td><td>0.671 (0.397–1.133)</td><td>0.135</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>PFS</b>\", \"bbox\": [82, 4, 97, 13]}, {\"cell\": \"<b>OS</b>\", \"bbox\": [285, 4, 297, 13]}, {\"cell\": \"<b>Univariate</b>\", \"bbox\": [82, 21, 120, 29]}, {\"cell\": \"<b>Multivariate</b>\", \"bbox\": [183, 21, 227, 29]}, {\"cell\": \"<b>Univariate</b>\", \"bbox\": [285, 21, 323, 29]}, {\"cell\": \"<b>Multivariate</b>\", \"bbox\": [387, 21, 431, 29]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [82, 36, 124, 45]}, {\"cell\": \"<b><i>P</i> value<sup>a</sup></b>\", \"bbox\": [149, 35, 179, 45]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [183, 36, 226, 45]}, {\"cell\": \"<b><i>P</i> value<sup>a</sup></b>\", \"bbox\": [251, 35, 281, 45]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [285, 36, 327, 45]}, {\"cell\": \"<b><i>P</i> value<sup>a</sup></b>\", \"bbox\": [353, 35, 382, 45]}, {\"cell\": \"<b>HR (95% CI)</b>\", \"bbox\": [387, 36, 429, 45]}, {\"cell\": \"<b><i>P</i> value<sup>a</sup></b>\", \"bbox\": [454, 35, 484, 45]}, {\"cell\": \"Age\", \"bbox\": [0, 54, 15, 64]}, {\"cell\": \"1.000 (0.986–1.014)\", \"bbox\": [82, 54, 145, 64]}, {\"cell\": \"0.980\", \"bbox\": [149, 54, 168, 64]}, {\"cell\": \"0.993 (0.977–1.009)\", \"bbox\": [183, 54, 246, 64]}, {\"cell\": \"0.381\", \"bbox\": [251, 54, 270, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 54, 348, 64]}, {\"cell\": \"0.480\", \"bbox\": [353, 54, 372, 64]}, {\"cell\": \"0.996 (0.973–1.020)\", \"bbox\": [387, 54, 450, 64]}, {\"cell\": \"0.757\", \"bbox\": [454, 54, 473, 64]}, {\"cell\": \"Sex (men vs. women)\", \"bbox\": [0, 66, 70, 76]}, {\"cell\": \"1.149 (0.830–1.590)\", \"bbox\": [82, 66, 145, 76]}, {\"cell\": \"0.404\", \"bbox\": [149, 66, 168, 76]}, {\"cell\": \"1.520 (0.916–2.522)\", \"bbox\": [183, 66, 246, 76]}, {\"cell\": \"0.105\", \"bbox\": [251, 66, 270, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 66, 348, 76]}, {\"cell\": \"0.055\", \"bbox\": [353, 66, 372, 76]}, {\"cell\": \"1.776 (0.890–3.544)\", \"bbox\": [387, 66, 450, 76]}, {\"cell\": \"0.103\", \"bbox\": [454, 66, 473, 76]}, {\"cell\": \"Smoking status (ever vs. never)\", \"bbox\": [0, 78, 79, 97]}, {\"cell\": \"0.907 (0.628–1.311)\", \"bbox\": [82, 78, 145, 88]}, {\"cell\": \"0.604\", \"bbox\": [149, 78, 168, 88]}, {\"cell\": \"0.616 (0.363–1.044)\", \"bbox\": [183, 78, 246, 88]}, {\"cell\": \"0.072\", \"bbox\": [251, 78, 270, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 78, 348, 88]}, {\"cell\": \"0.282\", \"bbox\": [353, 78, 372, 88]}, {\"cell\": \"0.835 (0.405–1.722)\", \"bbox\": [387, 78, 450, 88]}, {\"cell\": \"0.626\", \"bbox\": [454, 78, 473, 88]}, {\"cell\": \"ECOG PS (2 vs. 0-1)\", \"bbox\": [0, 100, 62, 109]}, {\"cell\": \"0.969 (0.523–1.796)\", \"bbox\": [82, 100, 145, 109]}, {\"cell\": \"0.921\", \"bbox\": [149, 100, 168, 109]}, {\"cell\": \"1.019 (0.536–1.935)\", \"bbox\": [183, 100, 246, 109]}, {\"cell\": \"0.955\", \"bbox\": [251, 100, 270, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 100, 348, 109]}, {\"cell\": \"0.903\", \"bbox\": [353, 100, 372, 109]}, {\"cell\": \"1.281 (0.531–3.091)\", \"bbox\": [387, 100, 450, 109]}, {\"cell\": \"0.582\", \"bbox\": [454, 100, 473, 109]}, {\"cell\": \"EGFR-TKI (erlotinib vs. gefitinib)\", \"bbox\": [0, 112, 71, 130]}, {\"cell\": \"0.828 (0.531–1.291)\", \"bbox\": [82, 112, 145, 121]}, {\"cell\": \"0.405\", \"bbox\": [149, 112, 168, 121]}, {\"cell\": \"0.765 (0.448–1.307)\", \"bbox\": [183, 112, 246, 121]}, {\"cell\": \"0.327\", \"bbox\": [251, 112, 270, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 112, 348, 121]}, {\"cell\": \"0.295\", \"bbox\": [353, 112, 372, 121]}, {\"cell\": \"0.756 (0.357–1.603)\", \"bbox\": [387, 112, 450, 121]}, {\"cell\": \"0.466\", \"bbox\": [454, 112, 473, 121]}, {\"cell\": \"EGFR-TKI (icotinib vs. gefitinib)\", \"bbox\": [1, 133, 68, 151]}, {\"cell\": \"0.652 (0.359–1.184)\", \"bbox\": [82, 133, 145, 142]}, {\"cell\": \"0.160\", \"bbox\": [149, 133, 168, 142]}, {\"cell\": \"0.702 (0.362–1.361)\", \"bbox\": [183, 133, 246, 142]}, {\"cell\": \"0.295\", \"bbox\": [251, 133, 270, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 133, 348, 142]}, {\"cell\": \"0.306\", \"bbox\": [353, 133, 372, 142]}, {\"cell\": \"0.255 (0.063–1.037)\", \"bbox\": [387, 133, 450, 142]}, {\"cell\": \"0.056\", \"bbox\": [454, 133, 473, 142]}, {\"cell\": \"Stage (IIIB vs. IV)\", \"bbox\": [1, 154, 53, 163]}, {\"cell\": \"0.552 (0.203–1.498)\", \"bbox\": [82, 154, 145, 163]}, {\"cell\": \"0.243\", \"bbox\": [149, 154, 168, 163]}, {\"cell\": \"0.402 (0.119–1.356)\", \"bbox\": [183, 154, 246, 163]}, {\"cell\": \"0.142\", \"bbox\": [251, 154, 270, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 154, 348, 163]}, {\"cell\": \"0.826\", \"bbox\": [353, 154, 372, 163]}, {\"cell\": \"0.600 (0.144–2.506)\", \"bbox\": [387, 154, 450, 163]}, {\"cell\": \"0.483\", \"bbox\": [454, 154, 473, 163]}, {\"cell\": \"<i>EGFR</i> mutation (exon 19 del vs. L858R mutation)\", \"bbox\": [1, 166, 83, 184]}, {\"cell\": \"0.705 (0.509–0.976)\", \"bbox\": [82, 166, 145, 175]}, {\"cell\": \"0.035\", \"bbox\": [149, 166, 168, 175]}, {\"cell\": \"0.631 (0.432–0.920)\", \"bbox\": [183, 166, 246, 175]}, {\"cell\": \"0.017\", \"bbox\": [251, 166, 270, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 166, 348, 175]}, {\"cell\": \"0.566\", \"bbox\": [353, 166, 372, 175]}, {\"cell\": \"0.671 (0.397–1.133)\", \"bbox\": [387, 166, 450, 175]}, {\"cell\": \"0.135\", \"bbox\": [454, 166, 473, 175]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4802875_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}893{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Number of DNA band shows in the figures</b></td><td><b>Name of microorganism</b></td><td><b>GenBank access number</b></td><td><b>Times identified in women (<i>n</i> = 64)</b></td><td><b>Percentage of women with species identified (%)</b></td></tr></thead><tbody><tr><td>12</td><td><i>Lactobacillus acidophilus</i></td><td>NC_006814</td><td>50</td><td>[EMPTY_CELL]</td></tr><tr><td>11</td><td><i>Lactobacillus iners</i></td><td>AY283265</td><td>35</td><td>[EMPTY_CELL]</td></tr><tr><td>30</td><td>Uncultured<i> Ureaplasma urealyticum </i></td><td>EU644473</td><td>14</td><td>[EMPTY_CELL]</td></tr><tr><td>16</td><td><i>Lactobacillus gasseri</i></td><td>NC_008530</td><td>13</td><td>[EMPTY_CELL]</td></tr><tr><td>15</td><td>BVAB1</td><td>AB034121</td><td>11</td><td>[EMPTY_CELL]</td></tr><tr><td>26</td><td><i>Gemella bergeriae</i></td><td>Y13365.1</td><td>5</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td><i>Gardnerella vaginalis</i></td><td>M58744</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>13</td><td><i>Lactobacillus delbrueckii</i></td><td>NC_008529</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>18</td><td><i>Leptotrichia amnionii</i></td><td>AY078425</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td><i>Mobiluncus </i>sp.</td><td>EF428974.1</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>29</td><td><i>Ureaplasma Urealyticum</i></td><td>AF073455</td><td>4</td><td>[EMPTY_CELL]</td></tr><tr><td>17</td><td><i>Peptostreptococcus</i> sp.</td><td>AY207059</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>1</td><td>Uncultured <i>Gardnerella </i>sp. </td><td>AY738665.1</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td>20</td><td><i>Peptoniphilus indolicus</i></td><td>D14147</td><td>2</td><td>[EMPTY_CELL]</td></tr><tr><td>24</td><td><i>Anaerococcus vaginalis</i></td><td>AF542229</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td><i>Atopobium </i>sp.</td><td>AY738658.1</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>6</td><td><i>Mobiluncus mulieris</i></td><td>AJ427625</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td><i>Porphiromonas dentalis</i></td><td>X81876.1</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>14</td><td><i>Prevotella bivia</i></td><td>L16475</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>27</td><td>Uncultured <i>Leptotrichia </i>sp.</td><td>AY724742.1</td><td>1</td><td>[EMPTY_CELL]</td></tr><tr><td>19</td><td><i>Uncultured Peptoniphilus </i>sp. </td><td>AY738692.1</td><td>1</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Number of DNA band shows in the figures</b>\", \"bbox\": [2, 5, 69, 36]}, {\"cell\": \"<b>Name of microorganism</b>\", \"bbox\": [92, 15, 182, 26]}, {\"cell\": \"<b>GenBank access number</b>\", \"bbox\": [249, 10, 308, 31]}, {\"cell\": \"<b>Times identified in women (<i>n</i> = 64)</b>\", \"bbox\": [330, 10, 399, 31]}, {\"cell\": \"<b>Percentage of women with species identified (%)</b>\", \"bbox\": [417, 5, 498, 36]}, {\"cell\": \"12\", \"bbox\": [2, 40, 13, 51]}, {\"cell\": \"<i>Lactobacillus acidophilus</i>\", \"bbox\": [92, 40, 181, 51]}, {\"cell\": \"NC_006814\", \"bbox\": [257, 40, 300, 51]}, {\"cell\": \"50\", \"bbox\": [359, 40, 370, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 40, 463, 51]}, {\"cell\": \"11\", \"bbox\": [2, 55, 13, 66]}, {\"cell\": \"<i>Lactobacillus iners</i>\", \"bbox\": [92, 55, 158, 66]}, {\"cell\": \"AY283265\", \"bbox\": [259, 55, 297, 66]}, {\"cell\": \"35\", \"bbox\": [359, 55, 370, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 55, 463, 66]}, {\"cell\": \"30\", \"bbox\": [2, 70, 13, 80]}, {\"cell\": \"Uncultured<i> Ureaplasma urealyticum </i>\", \"bbox\": [92, 70, 223, 80]}, {\"cell\": \"EU644473\", \"bbox\": [259, 70, 298, 80]}, {\"cell\": \"14\", \"bbox\": [359, 70, 370, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 70, 463, 80]}, {\"cell\": \"16\", \"bbox\": [2, 84, 13, 95]}, {\"cell\": \"<i>Lactobacillus gasseri</i>\", \"bbox\": [92, 84, 164, 95]}, {\"cell\": \"NC_008530\", \"bbox\": [257, 84, 300, 95]}, {\"cell\": \"13\", \"bbox\": [359, 84, 370, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 84, 463, 95]}, {\"cell\": \"15\", \"bbox\": [2, 99, 13, 109]}, {\"cell\": \"BVAB1\", \"bbox\": [92, 99, 119, 109]}, {\"cell\": \"AB034121\", \"bbox\": [259, 99, 298, 109]}, {\"cell\": \"11\", \"bbox\": [359, 99, 370, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 99, 463, 109]}, {\"cell\": \"26\", \"bbox\": [2, 113, 13, 124]}, {\"cell\": \"<i>Gemella bergeriae</i>\", \"bbox\": [92, 113, 156, 124]}, {\"cell\": \"Y13365.1\", \"bbox\": [261, 113, 296, 124]}, {\"cell\": \"5\", \"bbox\": [361, 113, 368, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 113, 461, 124]}, {\"cell\": \"4\", \"bbox\": [2, 128, 9, 138]}, {\"cell\": \"<i>Gardnerella vaginalis</i>\", \"bbox\": [92, 128, 168, 138]}, {\"cell\": \"M58744\", \"bbox\": [263, 128, 294, 138]}, {\"cell\": \"4\", \"bbox\": [361, 128, 368, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 128, 461, 138]}, {\"cell\": \"13\", \"bbox\": [2, 142, 13, 153]}, {\"cell\": \"<i>Lactobacillus delbrueckii</i>\", \"bbox\": [92, 142, 179, 153]}, {\"cell\": \"NC_008529\", \"bbox\": [257, 142, 300, 153]}, {\"cell\": \"4\", \"bbox\": [361, 142, 368, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 142, 461, 153]}, {\"cell\": \"18\", \"bbox\": [2, 157, 13, 167]}, {\"cell\": \"<i>Leptotrichia amnionii</i>\", \"bbox\": [92, 157, 170, 167]}, {\"cell\": \"AY078425\", \"bbox\": [259, 157, 297, 167]}, {\"cell\": \"4\", \"bbox\": [361, 157, 368, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 157, 461, 167]}, {\"cell\": \"5\", \"bbox\": [2, 171, 9, 182]}, {\"cell\": \"<i>Mobiluncus </i>sp.\", \"bbox\": [92, 171, 147, 182]}, {\"cell\": \"EF428974.1\", \"bbox\": [257, 171, 300, 182]}, {\"cell\": \"4\", \"bbox\": [361, 171, 368, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 171, 461, 182]}, {\"cell\": \"29\", \"bbox\": [2, 186, 13, 196]}, {\"cell\": \"<i>Ureaplasma Urealyticum</i>\", \"bbox\": [92, 186, 181, 196]}, {\"cell\": \"AF073455\", \"bbox\": [259, 186, 298, 196]}, {\"cell\": \"4\", \"bbox\": [361, 186, 368, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 186, 461, 196]}, {\"cell\": \"17\", \"bbox\": [2, 200, 13, 211]}, {\"cell\": \"<i>Peptostreptococcus</i> sp.\", \"bbox\": [92, 200, 170, 211]}, {\"cell\": \"AY207059\", \"bbox\": [259, 200, 297, 211]}, {\"cell\": \"3\", \"bbox\": [361, 200, 368, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 200, 461, 211]}, {\"cell\": \"1\", \"bbox\": [2, 215, 9, 225]}, {\"cell\": \"Uncultured <i>Gardnerella </i>sp. \", \"bbox\": [92, 215, 191, 225]}, {\"cell\": \"AY738665.1\", \"bbox\": [256, 215, 301, 225]}, {\"cell\": \"3\", \"bbox\": [361, 215, 368, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 215, 461, 225]}, {\"cell\": \"20\", \"bbox\": [2, 229, 13, 240]}, {\"cell\": \"<i>Peptoniphilus indolicus</i>\", \"bbox\": [92, 229, 174, 240]}, {\"cell\": \"D14147\", \"bbox\": [263, 229, 293, 240]}, {\"cell\": \"2\", \"bbox\": [361, 229, 368, 240]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 229, 461, 240]}, {\"cell\": \"24\", \"bbox\": [2, 244, 13, 254]}, {\"cell\": \"<i>Anaerococcus vaginalis</i>\", \"bbox\": [92, 244, 173, 254]}, {\"cell\": \"AF542229\", \"bbox\": [259, 244, 298, 254]}, {\"cell\": \"1\", \"bbox\": [361, 244, 368, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 244, 461, 254]}, {\"cell\": \"2\", \"bbox\": [2, 258, 9, 269]}, {\"cell\": \"<i>Atopobium </i>sp.\", \"bbox\": [92, 258, 145, 269]}, {\"cell\": \"AY738658.1\", \"bbox\": [256, 258, 301, 269]}, {\"cell\": \"1\", \"bbox\": [361, 258, 368, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 258, 461, 269]}, {\"cell\": \"6\", \"bbox\": [2, 273, 9, 283]}, {\"cell\": \"<i>Mobiluncus mulieris</i>\", \"bbox\": [92, 273, 165, 283]}, {\"cell\": \"AJ427625\", \"bbox\": [260, 273, 297, 283]}, {\"cell\": \"1\", \"bbox\": [361, 273, 368, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 273, 461, 283]}, {\"cell\": \"3\", \"bbox\": [2, 287, 9, 298]}, {\"cell\": \"<i>Porphiromonas dentalis</i>\", \"bbox\": [92, 287, 176, 298]}, {\"cell\": \"X81876.1\", \"bbox\": [261, 287, 296, 298]}, {\"cell\": \"1\", \"bbox\": [361, 287, 368, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 287, 461, 298]}, {\"cell\": \"14\", \"bbox\": [2, 302, 13, 312]}, {\"cell\": \"<i>Prevotella bivia</i>\", \"bbox\": [92, 302, 148, 312]}, {\"cell\": \"L16475\", \"bbox\": [264, 302, 293, 312]}, {\"cell\": \"1\", \"bbox\": [361, 302, 368, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 302, 461, 312]}, {\"cell\": \"27\", \"bbox\": [2, 316, 13, 327]}, {\"cell\": \"Uncultured <i>Leptotrichia </i>sp.\", \"bbox\": [92, 316, 191, 327]}, {\"cell\": \"AY724742.1\", \"bbox\": [256, 316, 301, 327]}, {\"cell\": \"1\", \"bbox\": [361, 316, 368, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 316, 461, 327]}, {\"cell\": \"19\", \"bbox\": [2, 331, 13, 341]}, {\"cell\": \"<i>Uncultured Peptoniphilus </i>sp. \", \"bbox\": [92, 331, 195, 341]}, {\"cell\": \"AY738692.1\", \"bbox\": [256, 331, 301, 341]}, {\"cell\": \"1\", \"bbox\": [361, 331, 368, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [455, 331, 461, 341]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3179877_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}894{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Age category <sup>‡</sup></b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>4 to 11 years overall</b></td><td><b>4–5 years</b></td><td><b>6–8 years</b></td><td><b>9–11 years</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Boys</b></td></tr><tr><td><b>n <sup>§</sup></b></td><td>1442</td><td>375</td><td>[EMPTY_CELL]</td><td>539</td></tr><tr><td><b>Active Play (times per week) †</b></td><td>7 (5, 7)</td><td>7 (5, 7)</td><td>[EMPTY_CELL]</td><td>7 (5, 7)</td></tr><tr><td><b>Active Play (times per week)**</b></td><td>7.0 (6.5 – 7.4)</td><td>6.9 (6.3 – 7.4)</td><td>[EMPTY_CELL]</td><td>7.1 (6.0 – 8.1)</td></tr><tr><td><b>Television (hours per day)**</b></td><td>2.3 (2.2 – 2.5)</td><td>2.3 (2.0 – 2.5)</td><td>[EMPTY_CELL]</td><td>2.4 (2.2–2.6)</td></tr><tr><td><b>Computer/video games (hours per day)**</b></td><td>0.9 (0.9 – 1.0)</td><td>0.7 (0.6 – 0.8)</td><td>[EMPTY_CELL]</td><td>1.2 (1.0 – 1.4)</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Girls</b></td></tr><tr><td><b>n <sup>§</sup></b></td><td>1522</td><td>402</td><td>[EMPTY_CELL]</td><td>539</td></tr><tr><td><b>Active Play (times per week) †</b></td><td>7 (4, 7)</td><td>7 (5, 7)</td><td>[EMPTY_CELL]</td><td>6 (3, 7)</td></tr><tr><td><b>Active Play (times per week)**</b></td><td>6.4 (5.8 – 7.0)</td><td>7.3 (6.2 – 8.3)</td><td>[EMPTY_CELL]</td><td>6.2 (5.4 – 6.9)</td></tr><tr><td><b>Television (hours per day)**</b></td><td>2.2 (2.1 – 2.3)</td><td>2.2 (2.0 – 2.3)</td><td>[EMPTY_CELL]</td><td>2.4 (2.2 – 2.5)</td></tr><tr><td><b>Computer/video games (hours per day)**</b></td><td>0.7 (0.7 – 0.8)</td><td>0.6 (0.5 – 0.7)</td><td>[EMPTY_CELL]</td><td>0.8 (0.7 – 0.9)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Age category <sup>‡</sup></b>\", \"bbox\": [322, 4, 381, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>4 to 11 years overall</b>\", \"bbox\": [205, 15, 285, 24]}, {\"cell\": \"<b>4–5 years</b>\", \"bbox\": [308, 15, 346, 24]}, {\"cell\": \"<b>6–8 years</b>\", \"bbox\": [373, 15, 411, 24]}, {\"cell\": \"<b>9–11 years</b>\", \"bbox\": [438, 15, 481, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Boys</b>\", \"bbox\": [341, 37, 361, 47]}, {\"cell\": \"<b>n <sup>§</sup></b>\", \"bbox\": [4, 47, 17, 57]}, {\"cell\": \"1442\", \"bbox\": [205, 47, 224, 57]}, {\"cell\": \"375\", \"bbox\": [308, 47, 322, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 47, 387, 57]}, {\"cell\": \"539\", \"bbox\": [438, 47, 452, 57]}, {\"cell\": \"<b>Active Play (times per week) †</b>\", \"bbox\": [4, 58, 124, 67]}, {\"cell\": \"7 (5, 7)\", \"bbox\": [205, 58, 231, 67]}, {\"cell\": \"7 (5, 7)\", \"bbox\": [308, 58, 334, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 58, 399, 67]}, {\"cell\": \"7 (5, 7)\", \"bbox\": [438, 58, 464, 67]}, {\"cell\": \"<b>Active Play (times per week)**</b>\", \"bbox\": [4, 68, 125, 77]}, {\"cell\": \"7.0 (6.5 – 7.4)\", \"bbox\": [205, 68, 254, 77]}, {\"cell\": \"6.9 (6.3 – 7.4)\", \"bbox\": [308, 68, 356, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 68, 421, 77]}, {\"cell\": \"7.1 (6.0 – 8.1)\", \"bbox\": [438, 68, 487, 77]}, {\"cell\": \"<b>Television (hours per day)**</b>\", \"bbox\": [4, 78, 115, 88]}, {\"cell\": \"2.3 (2.2 – 2.5)\", \"bbox\": [205, 78, 254, 88]}, {\"cell\": \"2.3 (2.0 – 2.5)\", \"bbox\": [308, 78, 356, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 78, 421, 88]}, {\"cell\": \"2.4 (2.2–2.6)\", \"bbox\": [438, 78, 482, 88]}, {\"cell\": \"<b>Computer/video games (hours per day)**</b>\", \"bbox\": [4, 88, 166, 98]}, {\"cell\": \"0.9 (0.9 – 1.0)\", \"bbox\": [205, 88, 254, 98]}, {\"cell\": \"0.7 (0.6 – 0.8)\", \"bbox\": [308, 88, 356, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 88, 421, 98]}, {\"cell\": \"1.2 (1.0 – 1.4)\", \"bbox\": [438, 88, 487, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Girls</b>\", \"bbox\": [341, 111, 362, 120]}, {\"cell\": \"<b>n <sup>§</sup></b>\", \"bbox\": [4, 120, 17, 130]}, {\"cell\": \"1522\", \"bbox\": [205, 121, 224, 130]}, {\"cell\": \"402\", \"bbox\": [308, 121, 322, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 121, 387, 130]}, {\"cell\": \"539\", \"bbox\": [438, 121, 452, 130]}, {\"cell\": \"<b>Active Play (times per week) †</b>\", \"bbox\": [4, 131, 124, 141]}, {\"cell\": \"7 (4, 7)\", \"bbox\": [205, 131, 231, 141]}, {\"cell\": \"7 (5, 7)\", \"bbox\": [308, 131, 334, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 131, 399, 141]}, {\"cell\": \"6 (3, 7)\", \"bbox\": [438, 131, 464, 141]}, {\"cell\": \"<b>Active Play (times per week)**</b>\", \"bbox\": [4, 141, 125, 151]}, {\"cell\": \"6.4 (5.8 – 7.0)\", \"bbox\": [205, 141, 254, 151]}, {\"cell\": \"7.3 (6.2 – 8.3)\", \"bbox\": [308, 141, 356, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 141, 421, 151]}, {\"cell\": \"6.2 (5.4 – 6.9)\", \"bbox\": [438, 141, 487, 151]}, {\"cell\": \"<b>Television (hours per day)**</b>\", \"bbox\": [4, 152, 115, 161]}, {\"cell\": \"2.2 (2.1 – 2.3)\", \"bbox\": [205, 152, 254, 161]}, {\"cell\": \"2.2 (2.0 – 2.3)\", \"bbox\": [308, 152, 356, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 152, 421, 161]}, {\"cell\": \"2.4 (2.2 – 2.5)\", \"bbox\": [438, 152, 487, 161]}, {\"cell\": \"<b>Computer/video games (hours per day)**</b>\", \"bbox\": [4, 162, 166, 171]}, {\"cell\": \"0.7 (0.7 – 0.8)\", \"bbox\": [205, 162, 254, 171]}, {\"cell\": \"0.6 (0.5 – 0.7)\", \"bbox\": [308, 162, 356, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 162, 421, 171]}, {\"cell\": \"0.8 (0.7 – 0.9)\", \"bbox\": [438, 162, 487, 171]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2605460_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}895{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variables</b></td><td colspan=\\\"2\\\"><b>Model 1</b></td><td colspan=\\\"2\\\"><b>Model 2</b></td><td colspan=\\\"2\\\"><b>Model 3</b></td></tr><tr><td><b>Coefficients</b></td><td><b><i>p</i>-value</b></td><td><b>Coefficients</b></td><td><b><i>p</i>-value</b></td><td><b>Coefficients</b></td><td><b><i>p</i>-value</b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−5.37</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−5.16</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−8.32</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−8.52</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−10.32</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−10.3</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−13.61</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−14.04</td><td>***</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−2.51</td><td>*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−2.11</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−5.10</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−5.07</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−6.81</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−6.31</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−6.89</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−6.22</td><td>***</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−2.13</td><td>*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−1.44</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−4.30</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−3.24</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>−5.30</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−3.78</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>−7.82</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−6.24</td><td>**</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−3.35</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−3.04</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−6.57</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−5.64</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−9.27</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−8.36</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−15.08</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−13.71</td><td>***</td></tr><tr><td colspan=\\\"7\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>−5.30</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−4.47</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−6.22</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−4.69</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−6.52</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−4.16</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>−12.42</td><td>***</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−10.71</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>72.10</td><td>***</td><td>83.40</td><td>***</td><td>52.73</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−0.23</td><td>**</td><td>0.27</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−2.40</td><td>***</td><td>0.38</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−3.58</td><td>***</td><td>−2.58</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−2.18</td><td>**</td><td>−1.44</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−5.18</td><td>***</td><td>−1.97</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−1.32</td><td>***</td><td>−0.49</td><td>***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−2.89</td><td>***</td><td>0.47</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−0.67</td><td>***</td><td>0.21</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−3.62</td><td>***</td><td>−2.08</td><td>**</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−0.89</td><td>***</td><td>−0.25</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">2264</td><td colspan=\\\"2\\\">2212</td><td colspan=\\\"2\\\">2212</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">0.40</td><td colspan=\\\"2\\\">0.25</td><td colspan=\\\"2\\\">0.42</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 28, 12]}, {\"cell\": \"<b>Model 1</b>\", \"bbox\": [175, 4, 201, 12]}, {\"cell\": \"<b>Model 2</b>\", \"bbox\": [287, 4, 313, 12]}, {\"cell\": \"<b>Model 3</b>\", \"bbox\": [399, 4, 425, 12]}, {\"cell\": \"<b>Coefficients</b>\", \"bbox\": [175, 16, 211, 25]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [238, 16, 260, 25]}, {\"cell\": \"<b>Coefficients</b>\", \"bbox\": [287, 16, 323, 25]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [350, 16, 372, 25]}, {\"cell\": \"<b>Coefficients</b>\", \"bbox\": [399, 16, 435, 25]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [462, 16, 484, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 28, 54, 37]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 42, 62, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 55, 55, 64]}, {\"cell\": \"–\", \"bbox\": [175, 58, 181, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [399, 58, 405, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 68, 62, 77]}, {\"cell\": \"−5.37\", \"bbox\": [175, 68, 193, 77]}, {\"cell\": \"***\", \"bbox\": [238, 68, 248, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−5.16\", \"bbox\": [399, 68, 417, 77]}, {\"cell\": \"***\", \"bbox\": [462, 68, 472, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 81, 74, 90]}, {\"cell\": \"−8.32\", \"bbox\": [175, 81, 193, 90]}, {\"cell\": \"***\", \"bbox\": [238, 81, 248, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−8.52\", \"bbox\": [399, 81, 417, 90]}, {\"cell\": \"***\", \"bbox\": [462, 81, 472, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 94, 65, 103]}, {\"cell\": \"−10.32\", \"bbox\": [175, 94, 197, 103]}, {\"cell\": \"***\", \"bbox\": [238, 94, 248, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−10.3\", \"bbox\": [399, 94, 417, 103]}, {\"cell\": \"***\", \"bbox\": [462, 94, 472, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 108, 69, 116]}, {\"cell\": \"−13.61\", \"bbox\": [175, 108, 197, 116]}, {\"cell\": \"***\", \"bbox\": [238, 108, 248, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−14.04\", \"bbox\": [399, 108, 421, 116]}, {\"cell\": \"***\", \"bbox\": [462, 108, 472, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 121, 63, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 134, 55, 143]}, {\"cell\": \"–\", \"bbox\": [175, 137, 181, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [399, 137, 405, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 147, 62, 156]}, {\"cell\": \"−2.51\", \"bbox\": [175, 147, 193, 156]}, {\"cell\": \"*\", \"bbox\": [238, 147, 242, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−2.11\", \"bbox\": [399, 147, 417, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 160, 74, 169]}, {\"cell\": \"−5.10\", \"bbox\": [175, 160, 193, 169]}, {\"cell\": \"***\", \"bbox\": [238, 160, 248, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−5.07\", \"bbox\": [399, 160, 417, 169]}, {\"cell\": \"***\", \"bbox\": [462, 160, 472, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 174, 65, 182]}, {\"cell\": \"−6.81\", \"bbox\": [175, 174, 193, 182]}, {\"cell\": \"***\", \"bbox\": [238, 174, 248, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−6.31\", \"bbox\": [399, 174, 417, 182]}, {\"cell\": \"***\", \"bbox\": [462, 174, 472, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 187, 69, 196]}, {\"cell\": \"−6.89\", \"bbox\": [175, 187, 193, 196]}, {\"cell\": \"***\", \"bbox\": [238, 187, 248, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−6.22\", \"bbox\": [399, 187, 417, 196]}, {\"cell\": \"***\", \"bbox\": [462, 187, 472, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 200, 77, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 213, 55, 222]}, {\"cell\": \"–\", \"bbox\": [175, 216, 181, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [399, 216, 405, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 226, 62, 235]}, {\"cell\": \"−2.13\", \"bbox\": [175, 226, 193, 235]}, {\"cell\": \"*\", \"bbox\": [238, 226, 242, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−1.44\", \"bbox\": [399, 226, 417, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 240, 74, 248]}, {\"cell\": \"−4.30\", \"bbox\": [175, 240, 193, 248]}, {\"cell\": \"***\", \"bbox\": [238, 240, 248, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−3.24\", \"bbox\": [399, 240, 417, 248]}, {\"cell\": \"**\", \"bbox\": [462, 240, 469, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 253, 65, 262]}, {\"cell\": \"−5.30\", \"bbox\": [175, 253, 193, 262]}, {\"cell\": \"***\", \"bbox\": [238, 253, 248, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−3.78\", \"bbox\": [399, 253, 417, 262]}, {\"cell\": \"**\", \"bbox\": [462, 253, 469, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 266, 69, 275]}, {\"cell\": \"−7.82\", \"bbox\": [175, 266, 193, 275]}, {\"cell\": \"***\", \"bbox\": [238, 266, 248, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−6.24\", \"bbox\": [399, 266, 417, 275]}, {\"cell\": \"**\", \"bbox\": [462, 266, 469, 275]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 279, 56, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 292, 55, 301]}, {\"cell\": \"–\", \"bbox\": [175, 296, 181, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [399, 296, 405, 300]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 306, 62, 314]}, {\"cell\": \"−3.35\", \"bbox\": [175, 306, 193, 314]}, {\"cell\": \"***\", \"bbox\": [238, 306, 248, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−3.04\", \"bbox\": [399, 306, 417, 314]}, {\"cell\": \"***\", \"bbox\": [462, 306, 472, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 319, 74, 328]}, {\"cell\": \"−6.57\", \"bbox\": [175, 319, 193, 328]}, {\"cell\": \"***\", \"bbox\": [238, 319, 248, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−5.64\", \"bbox\": [399, 319, 417, 328]}, {\"cell\": \"***\", \"bbox\": [462, 319, 472, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 332, 65, 341]}, {\"cell\": \"−9.27\", \"bbox\": [175, 332, 193, 341]}, {\"cell\": \"***\", \"bbox\": [238, 332, 248, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−8.36\", \"bbox\": [399, 332, 417, 341]}, {\"cell\": \"***\", \"bbox\": [462, 332, 472, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 345, 69, 354]}, {\"cell\": \"−15.08\", \"bbox\": [175, 345, 197, 354]}, {\"cell\": \"***\", \"bbox\": [238, 345, 248, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−13.71\", \"bbox\": [399, 345, 421, 354]}, {\"cell\": \"***\", \"bbox\": [462, 345, 472, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 358, 65, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 372, 55, 380]}, {\"cell\": \"–\", \"bbox\": [175, 375, 181, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"–\", \"bbox\": [399, 375, 405, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 385, 62, 394]}, {\"cell\": \"−5.30\", \"bbox\": [175, 385, 193, 394]}, {\"cell\": \"***\", \"bbox\": [238, 385, 248, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−4.47\", \"bbox\": [399, 385, 417, 394]}, {\"cell\": \"***\", \"bbox\": [462, 385, 472, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 398, 74, 407]}, {\"cell\": \"−6.22\", \"bbox\": [175, 398, 193, 407]}, {\"cell\": \"***\", \"bbox\": [238, 398, 248, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−4.69\", \"bbox\": [399, 398, 417, 407]}, {\"cell\": \"***\", \"bbox\": [462, 398, 472, 407]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 411, 65, 420]}, {\"cell\": \"−6.52\", \"bbox\": [175, 411, 193, 420]}, {\"cell\": \"***\", \"bbox\": [238, 411, 248, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−4.16\", \"bbox\": [399, 411, 417, 420]}, {\"cell\": \"***\", \"bbox\": [462, 411, 472, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [15, 424, 69, 433]}, {\"cell\": \"−12.42\", \"bbox\": [175, 424, 197, 433]}, {\"cell\": \"***\", \"bbox\": [238, 424, 248, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−10.71\", \"bbox\": [399, 424, 421, 433]}, {\"cell\": \"***\", \"bbox\": [462, 424, 472, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 438, 28, 446]}, {\"cell\": \"72.10\", \"bbox\": [175, 438, 192, 446]}, {\"cell\": \"***\", \"bbox\": [238, 438, 248, 446]}, {\"cell\": \"83.40\", \"bbox\": [297, 438, 314, 446]}, {\"cell\": \"***\", \"bbox\": [350, 438, 360, 446]}, {\"cell\": \"52.73\", \"bbox\": [399, 438, 416, 446]}, {\"cell\": \"***\", \"bbox\": [462, 438, 472, 446]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 451, 14, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.23\", \"bbox\": [296, 451, 314, 460]}, {\"cell\": \"**\", \"bbox\": [350, 451, 357, 460]}, {\"cell\": \"0.27\", \"bbox\": [399, 451, 413, 460]}, {\"cell\": \"***\", \"bbox\": [462, 451, 472, 460]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 464, 52, 473]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−2.40\", \"bbox\": [296, 464, 314, 473]}, {\"cell\": \"***\", \"bbox\": [350, 464, 360, 473]}, {\"cell\": \"0.38\", \"bbox\": [399, 464, 413, 473]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 477, 96, 486]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−3.58\", \"bbox\": [296, 477, 314, 486]}, {\"cell\": \"***\", \"bbox\": [350, 477, 360, 486]}, {\"cell\": \"−2.58\", \"bbox\": [399, 477, 417, 486]}, {\"cell\": \"**\", \"bbox\": [462, 477, 469, 486]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 490, 99, 499]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−2.18\", \"bbox\": [296, 490, 314, 499]}, {\"cell\": \"**\", \"bbox\": [350, 490, 357, 499]}, {\"cell\": \"−1.44\", \"bbox\": [399, 490, 417, 499]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 504, 77, 512]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−5.18\", \"bbox\": [296, 504, 314, 512]}, {\"cell\": \"***\", \"bbox\": [350, 504, 360, 512]}, {\"cell\": \"−1.97\", \"bbox\": [399, 504, 417, 512]}, {\"cell\": \"***\", \"bbox\": [462, 504, 472, 512]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 517, 77, 526]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−1.32\", \"bbox\": [296, 517, 314, 526]}, {\"cell\": \"***\", \"bbox\": [350, 517, 360, 526]}, {\"cell\": \"−0.49\", \"bbox\": [399, 517, 417, 526]}, {\"cell\": \"***\", \"bbox\": [462, 517, 472, 526]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 530, 146, 539]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−2.89\", \"bbox\": [296, 530, 314, 539]}, {\"cell\": \"***\", \"bbox\": [350, 530, 360, 539]}, {\"cell\": \"0.47\", \"bbox\": [399, 530, 413, 539]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 543, 140, 552]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.67\", \"bbox\": [296, 543, 314, 552]}, {\"cell\": \"***\", \"bbox\": [350, 543, 360, 552]}, {\"cell\": \"0.21\", \"bbox\": [399, 543, 413, 552]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 556, 109, 565]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−3.62\", \"bbox\": [296, 556, 314, 565]}, {\"cell\": \"***\", \"bbox\": [350, 556, 360, 565]}, {\"cell\": \"−2.08\", \"bbox\": [399, 556, 417, 565]}, {\"cell\": \"**\", \"bbox\": [462, 556, 469, 565]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 570, 149, 578]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.89\", \"bbox\": [296, 570, 314, 578]}, {\"cell\": \"***\", \"bbox\": [350, 570, 360, 578]}, {\"cell\": \"−0.25\", \"bbox\": [399, 570, 417, 578]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 583, 47, 592]}, {\"cell\": \"2264\", \"bbox\": [175, 583, 191, 592]}, {\"cell\": \"2212\", \"bbox\": [287, 583, 303, 592]}, {\"cell\": \"2212\", \"bbox\": [399, 583, 415, 592]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 596, 31, 605]}, {\"cell\": \"0.40\", \"bbox\": [175, 596, 189, 605]}, {\"cell\": \"0.25\", \"bbox\": [287, 596, 301, 605]}, {\"cell\": \"0.42\", \"bbox\": [399, 596, 413, 605]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5851254_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}896{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Patient</b></td><td colspan=\\\"3\\\"><b>Mean methanol VMRs nmol/mol</b></td><td colspan=\\\"3\\\"><b>Mean 2-butanone VMRs nmol/mol</b></td><td colspan=\\\"3\\\"><b>Mean carbon disulfide VMRs nmol/mol</b></td><td colspan=\\\"3\\\"><b>Mean 2-pentanone VMRs nmol/mol</b></td><td colspan=\\\"3\\\"><b>Mean limonene VMRs nmol/mol</b></td></tr><tr><td><b>Pre</b></td><td><b>Post</b></td><td><b>Pre/post</b></td><td><b>Pre</b></td><td><b>Post</b></td><td><b>Pre/post</b></td><td><b>Pre</b></td><td><b>Post</b></td><td><b>Pre/post</b></td><td><b>Pre</b></td><td><b>Post</b></td><td><b>Pre/post</b></td><td><b>Pre</b></td><td><b>Post</b></td><td><b>Pre/post</b></td></tr></thead><tbody><tr><td>F1</td><td>200 (6)</td><td>190 (3)</td><td>1.1 (0.04)</td><td>18 (1.2)</td><td>11 (0.2)</td><td>1.6 (0.1)</td><td>[EMPTY_CELL]</td><td>2.0 (0.4)</td><td>2.4 (0.5)</td><td>9.0 (0.8)</td><td>5.3 (0.6)</td><td>1.7 (0.2)</td><td>7.5 (0.6)</td><td>3.5 (0.6)</td><td>2.1 (0.4)</td></tr><tr><td>F2</td><td>90 (9)</td><td>230 (6)</td><td>0.4 (0.04)</td><td>16 (1.1)</td><td>15 (1.9)</td><td>1.1 (0.2)</td><td>[EMPTY_CELL]</td><td>20 (2.9)</td><td>0.1 (0.03)</td><td>8.3 (0.8)</td><td>7.3 (0.6)</td><td>1.1 (0.1)</td><td>60 (4.7)</td><td>1.1 (0.1)</td><td>54 (6)</td></tr><tr><td>F3</td><td>530 (2)</td><td>78 (5)</td><td>6.8 (0.4)</td><td>21 (1.7)</td><td>12 (2.6)</td><td>1.8 (0.4)</td><td>[EMPTY_CELL]</td><td>2.3 (0.3)</td><td>4.8 (0.8)</td><td>10 (1.2)</td><td>5.7 (0.3)</td><td>1.8 (0.2)</td><td>14 (0.7)</td><td>2.3 (0.2)</td><td>6.1 (0.6)</td></tr><tr><td>F4</td><td>560 (18)</td><td>71 (3)</td><td>7.9 (0.4)</td><td>19 (1.2)</td><td>12 (0.4)</td><td>1.6 (0.1)</td><td>[EMPTY_CELL]</td><td>2.3 (0.4)</td><td>2.0 (0.4)</td><td>25 (3.3)</td><td>6.1 (0.3)</td><td>4.1 (0.6)</td><td>11 (0.5)</td><td>2.3 (0.1)</td><td>4.8 (0.3)</td></tr><tr><td>M1</td><td>170 (2)</td><td>120 (15)</td><td>1.4 (0.2)</td><td>26 (1.4)</td><td>14 (1.4)</td><td>1.9 (0.2)</td><td>[EMPTY_CELL]</td><td>2.1 (0.4)</td><td>4.4 (0.9)</td><td>10 (0.5)</td><td>17 (2)</td><td>0.6 (0.1)</td><td>32 (0.7)</td><td>3.3 (0.5)</td><td>9.7 (1.5)</td></tr><tr><td>M2</td><td>430 (36)</td><td>81 (1)</td><td>5.3 (0.4)</td><td>13 (2.2)</td><td>15 (1.7)</td><td>0.9 (0.2)</td><td>[EMPTY_CELL]</td><td>2.4 (0.5)</td><td>1.3 (0.3)</td><td>23 (0.6)</td><td>6.2 (1.5)</td><td>3.7 (0.9)</td><td>94 (3.4)</td><td>1.6 (0.2)</td><td>59 (8)</td></tr><tr><td>M3</td><td>320 (32)</td><td>86 (7)</td><td>3.7 (0.5)</td><td>55 (3.1)</td><td>46 (4.2)</td><td>1.2 (0.1)</td><td>[EMPTY_CELL]</td><td>1.8 (0.2)</td><td>10 (1.6)</td><td>29 (1.0)</td><td>13 (1.2)</td><td>2.2 (0.2)</td><td>170 (1)</td><td>5.7 (0.2)</td><td>30 (1)</td></tr><tr><td>M4</td><td>490 (37)</td><td>93 (6)</td><td>5.3 (0.5)</td><td>38 (5.9)</td><td>23 (7.5)</td><td>1.7 (0.6)</td><td>[EMPTY_CELL]</td><td>2.6 (0.5)</td><td>3.3 (0.7)</td><td>38 (4.3)</td><td>9.9 (0.9)</td><td>3.8 (0.6)</td><td>110 (6)</td><td>55 (4)</td><td>2.0 (0.2)</td></tr><tr><td>M5</td><td>190 (3)</td><td>320 (1)</td><td>0.6 (0.01)</td><td>15 (0.5)</td><td>17 (1.3)</td><td>0.9 (0.1)</td><td>[EMPTY_CELL]</td><td>3.6 (0.1)</td><td>1.1 (0.1)</td><td>21 (1.3)</td><td>6.7 (0.5)</td><td>3.1 (0.3)</td><td>9.2 (0.5)</td><td>4.1 (0.2)</td><td>2.2 (0.2)</td></tr><tr><td>M6</td><td>230 (12)</td><td>79 (5)</td><td>2.9 (0.2)</td><td>30 (2.2)</td><td>12 (3.3)</td><td>2.5 (0.7)</td><td>[EMPTY_CELL]</td><td>2.1 (0.4)</td><td>6.2 (1.5)</td><td>13 (1.3)</td><td>5.1 (0.2)</td><td>2.5 (0.3)</td><td>120 (8)</td><td>4.8 (0.3)</td><td>25 (2)</td></tr><tr><td>M7</td><td>510 (21)</td><td>160 (8)</td><td>3.2 (0.2)</td><td>19 (0.7)</td><td>24 (4.2)</td><td>0.8 (0.1)</td><td>[EMPTY_CELL]</td><td>4.5 (0.7)</td><td>1.1 (0.3)</td><td>14 (2.6)</td><td>7.5 (0.3)</td><td>1.9 (0.4)</td><td>47 (2)</td><td>2.6 (0.1)</td><td>18 (1)</td></tr><tr><td>M8</td><td>180 (5)</td><td>86 (2)</td><td>2.1 (0.07)</td><td>21 (1.0)</td><td>12 (0.4)</td><td>1.8 (0.1)</td><td>[EMPTY_CELL]</td><td>1.9 (0.3)</td><td>3.6 (0.7)</td><td>8.8 (0.3)</td><td>13 (1.6)</td><td>0.7 (0.1)</td><td>7.7 (0.6)</td><td>3 (0.2)</td><td>2.6 (0.3)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Patient</b>\", \"bbox\": [6, 5, 29, 13]}, {\"cell\": \"<b>Mean methanol VMRs nmol/mol</b>\", \"bbox\": [34, 5, 100, 21]}, {\"cell\": \"<b>Mean 2-butanone VMRs nmol/mol</b>\", \"bbox\": [135, 5, 207, 21]}, {\"cell\": \"<b>Mean carbon disulfide VMRs nmol/mol</b>\", \"bbox\": [228, 5, 313, 21]}, {\"cell\": \"<b>Mean 2-pentanone VMRs nmol/mol</b>\", \"bbox\": [327, 5, 403, 21]}, {\"cell\": \"<b>Mean limonene VMRs nmol/mol</b>\", \"bbox\": [423, 5, 489, 21]}, {\"cell\": \"<b>Pre</b>\", \"bbox\": [34, 26, 46, 35]}, {\"cell\": \"<b>Post</b>\", \"bbox\": [67, 26, 81, 35]}, {\"cell\": \"<b>Pre/post</b>\", \"bbox\": [99, 26, 126, 35]}, {\"cell\": \"<b>Pre</b>\", \"bbox\": [135, 26, 146, 35]}, {\"cell\": \"<b>Post</b>\", \"bbox\": [165, 26, 180, 35]}, {\"cell\": \"<b>Pre/post</b>\", \"bbox\": [196, 26, 222, 35]}, {\"cell\": \"<b>Pre</b>\", \"bbox\": [228, 26, 239, 35]}, {\"cell\": \"<b>Post</b>\", \"bbox\": [260, 26, 274, 35]}, {\"cell\": \"<b>Pre/post</b>\", \"bbox\": [291, 26, 318, 35]}, {\"cell\": \"<b>Pre</b>\", \"bbox\": [327, 26, 339, 35]}, {\"cell\": \"<b>Post</b>\", \"bbox\": [359, 26, 373, 35]}, {\"cell\": \"<b>Pre/post</b>\", \"bbox\": [391, 26, 417, 35]}, {\"cell\": \"<b>Pre</b>\", \"bbox\": [423, 26, 434, 35]}, {\"cell\": \"<b>Post</b>\", \"bbox\": [457, 26, 471, 35]}, {\"cell\": \"<b>Pre/post</b>\", \"bbox\": [489, 26, 515, 35]}, {\"cell\": \"F1\", \"bbox\": [6, 39, 15, 48]}, {\"cell\": \"200 (6)\", \"bbox\": [34, 39, 58, 48]}, {\"cell\": \"190 (3)\", \"bbox\": [67, 39, 91, 48]}, {\"cell\": \"1.1 (0.04)\", \"bbox\": [99, 39, 130, 48]}, {\"cell\": \"18 (1.2)\", \"bbox\": [135, 39, 160, 48]}, {\"cell\": \"11 (0.2)\", \"bbox\": [165, 39, 191, 48]}, {\"cell\": \"1.6 (0.1)\", \"bbox\": [196, 39, 223, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 39, 254, 48]}, {\"cell\": \"2.0 (0.4)\", \"bbox\": [260, 39, 286, 48]}, {\"cell\": \"2.4 (0.5)\", \"bbox\": [291, 39, 318, 48]}, {\"cell\": \"9.0 (0.8)\", \"bbox\": [327, 39, 354, 48]}, {\"cell\": \"5.3 (0.6)\", \"bbox\": [359, 39, 386, 48]}, {\"cell\": \"1.7 (0.2)\", \"bbox\": [391, 39, 418, 48]}, {\"cell\": \"7.5 (0.6)\", \"bbox\": [425, 39, 452, 48]}, {\"cell\": \"3.5 (0.6)\", \"bbox\": [457, 39, 484, 48]}, {\"cell\": \"2.1 (0.4)\", \"bbox\": [489, 39, 516, 48]}, {\"cell\": \"F2\", \"bbox\": [6, 48, 15, 56]}, {\"cell\": \"90 (9)\", \"bbox\": [38, 48, 58, 56]}, {\"cell\": \"230 (6)\", \"bbox\": [67, 48, 91, 56]}, {\"cell\": \"0.4 (0.04)\", \"bbox\": [99, 48, 130, 56]}, {\"cell\": \"16 (1.1)\", \"bbox\": [135, 48, 160, 56]}, {\"cell\": \"15 (1.9)\", \"bbox\": [165, 48, 191, 56]}, {\"cell\": \"1.1 (0.2)\", \"bbox\": [196, 48, 223, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 48, 254, 56]}, {\"cell\": \"20 (2.9)\", \"bbox\": [261, 48, 286, 56]}, {\"cell\": \"0.1 (0.03)\", \"bbox\": [291, 48, 322, 56]}, {\"cell\": \"8.3 (0.8)\", \"bbox\": [327, 48, 354, 56]}, {\"cell\": \"7.3 (0.6)\", \"bbox\": [359, 48, 386, 56]}, {\"cell\": \"1.1 (0.1)\", \"bbox\": [391, 48, 418, 56]}, {\"cell\": \"60 (4.7)\", \"bbox\": [426, 48, 452, 56]}, {\"cell\": \"1.1 (0.1)\", \"bbox\": [457, 48, 484, 56]}, {\"cell\": \"54 (6)\", \"bbox\": [490, 48, 510, 56]}, {\"cell\": \"F3\", \"bbox\": [6, 56, 15, 65]}, {\"cell\": \"530 (2)\", \"bbox\": [34, 56, 58, 65]}, {\"cell\": \"78 (5)\", \"bbox\": [70, 56, 91, 65]}, {\"cell\": \"6.8 (0.4)\", \"bbox\": [99, 56, 126, 65]}, {\"cell\": \"21 (1.7)\", \"bbox\": [135, 56, 160, 65]}, {\"cell\": \"12 (2.6)\", \"bbox\": [165, 56, 191, 65]}, {\"cell\": \"1.8 (0.4)\", \"bbox\": [196, 56, 223, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 56, 254, 65]}, {\"cell\": \"2.3 (0.3)\", \"bbox\": [260, 56, 286, 65]}, {\"cell\": \"4.8 (0.8)\", \"bbox\": [291, 56, 318, 65]}, {\"cell\": \"10 (1.2)\", \"bbox\": [328, 56, 354, 65]}, {\"cell\": \"5.7 (0.3)\", \"bbox\": [359, 56, 386, 65]}, {\"cell\": \"1.8 (0.2)\", \"bbox\": [391, 56, 418, 65]}, {\"cell\": \"14 (0.7)\", \"bbox\": [426, 56, 452, 65]}, {\"cell\": \"2.3 (0.2)\", \"bbox\": [457, 56, 484, 65]}, {\"cell\": \"6.1 (0.6)\", \"bbox\": [489, 56, 516, 65]}, {\"cell\": \"F4\", \"bbox\": [6, 65, 15, 73]}, {\"cell\": \"560 (18)\", \"bbox\": [34, 65, 62, 73]}, {\"cell\": \"71 (3)\", \"bbox\": [70, 65, 91, 73]}, {\"cell\": \"7.9 (0.4)\", \"bbox\": [99, 65, 126, 73]}, {\"cell\": \"19 (1.2)\", \"bbox\": [135, 65, 160, 73]}, {\"cell\": \"12 (0.4)\", \"bbox\": [165, 65, 191, 73]}, {\"cell\": \"1.6 (0.1)\", \"bbox\": [196, 65, 223, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 65, 254, 73]}, {\"cell\": \"2.3 (0.4)\", \"bbox\": [260, 65, 286, 73]}, {\"cell\": \"2.0 (0.4)\", \"bbox\": [291, 65, 318, 73]}, {\"cell\": \"25 (3.3)\", \"bbox\": [328, 65, 354, 73]}, {\"cell\": \"6.1 (0.3)\", \"bbox\": [359, 65, 386, 73]}, {\"cell\": \"4.1 (0.6)\", \"bbox\": [391, 65, 418, 73]}, {\"cell\": \"11 (0.5)\", \"bbox\": [426, 65, 452, 73]}, {\"cell\": \"2.3 (0.1)\", \"bbox\": [457, 65, 484, 73]}, {\"cell\": \"4.8 (0.3)\", \"bbox\": [489, 65, 516, 73]}, {\"cell\": \"M1\", \"bbox\": [6, 73, 18, 82]}, {\"cell\": \"170 (2)\", \"bbox\": [34, 73, 58, 82]}, {\"cell\": \"120 (15)\", \"bbox\": [67, 73, 94, 82]}, {\"cell\": \"1.4 (0.2)\", \"bbox\": [99, 73, 126, 82]}, {\"cell\": \"26 (1.4)\", \"bbox\": [135, 73, 160, 82]}, {\"cell\": \"14 (1.4)\", \"bbox\": [165, 73, 191, 82]}, {\"cell\": \"1.9 (0.2)\", \"bbox\": [196, 73, 223, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 73, 254, 82]}, {\"cell\": \"2.1 (0.4)\", \"bbox\": [260, 73, 286, 82]}, {\"cell\": \"4.4 (0.9)\", \"bbox\": [291, 73, 318, 82]}, {\"cell\": \"10 (0.5)\", \"bbox\": [328, 73, 354, 82]}, {\"cell\": \"17 (2)\", \"bbox\": [360, 73, 381, 82]}, {\"cell\": \"0.6 (0.1)\", \"bbox\": [391, 73, 418, 82]}, {\"cell\": \"32 (0.7)\", \"bbox\": [426, 73, 452, 82]}, {\"cell\": \"3.3 (0.5)\", \"bbox\": [457, 73, 484, 82]}, {\"cell\": \"9.7 (1.5)\", \"bbox\": [489, 73, 516, 82]}, {\"cell\": \"M2\", \"bbox\": [6, 82, 18, 90]}, {\"cell\": \"430 (36)\", \"bbox\": [34, 82, 62, 90]}, {\"cell\": \"81 (1)\", \"bbox\": [70, 82, 91, 90]}, {\"cell\": \"5.3 (0.4)\", \"bbox\": [99, 82, 126, 90]}, {\"cell\": \"13 (2.2)\", \"bbox\": [135, 82, 160, 90]}, {\"cell\": \"15 (1.7)\", \"bbox\": [165, 82, 191, 90]}, {\"cell\": \"0.9 (0.2)\", \"bbox\": [196, 82, 223, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 82, 254, 90]}, {\"cell\": \"2.4 (0.5)\", \"bbox\": [260, 82, 286, 90]}, {\"cell\": \"1.3 (0.3)\", \"bbox\": [291, 82, 318, 90]}, {\"cell\": \"23 (0.6)\", \"bbox\": [328, 82, 354, 90]}, {\"cell\": \"6.2 (1.5)\", \"bbox\": [359, 82, 386, 90]}, {\"cell\": \"3.7 (0.9)\", \"bbox\": [391, 82, 418, 90]}, {\"cell\": \"94 (3.4)\", \"bbox\": [426, 82, 452, 90]}, {\"cell\": \"1.6 (0.2)\", \"bbox\": [457, 82, 484, 90]}, {\"cell\": \"59 (8)\", \"bbox\": [490, 82, 510, 90]}, {\"cell\": \"M3\", \"bbox\": [6, 91, 18, 99]}, {\"cell\": \"320 (32)\", \"bbox\": [34, 91, 62, 99]}, {\"cell\": \"86 (7)\", \"bbox\": [70, 91, 91, 99]}, {\"cell\": \"3.7 (0.5)\", \"bbox\": [99, 91, 126, 99]}, {\"cell\": \"55 (3.1)\", \"bbox\": [135, 91, 160, 99]}, {\"cell\": \"46 (4.2)\", \"bbox\": [165, 91, 191, 99]}, {\"cell\": \"1.2 (0.1)\", \"bbox\": [196, 91, 223, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 91, 254, 99]}, {\"cell\": \"1.8 (0.2)\", \"bbox\": [260, 91, 286, 99]}, {\"cell\": \"10 (1.6)\", \"bbox\": [293, 91, 318, 99]}, {\"cell\": \"29 (1.0)\", \"bbox\": [328, 91, 354, 99]}, {\"cell\": \"13 (1.2)\", \"bbox\": [360, 91, 386, 99]}, {\"cell\": \"2.2 (0.2)\", \"bbox\": [391, 91, 418, 99]}, {\"cell\": \"170 (1)\", \"bbox\": [423, 91, 447, 99]}, {\"cell\": \"5.7 (0.2)\", \"bbox\": [457, 91, 484, 99]}, {\"cell\": \"30 (1)\", \"bbox\": [490, 91, 510, 99]}, {\"cell\": \"M4\", \"bbox\": [6, 99, 18, 108]}, {\"cell\": \"490 (37)\", \"bbox\": [34, 99, 62, 108]}, {\"cell\": \"93 (6)\", \"bbox\": [70, 99, 91, 108]}, {\"cell\": \"5.3 (0.5)\", \"bbox\": [99, 99, 126, 108]}, {\"cell\": \"38 (5.9)\", \"bbox\": [135, 99, 160, 108]}, {\"cell\": \"23 (7.5)\", \"bbox\": [165, 99, 191, 108]}, {\"cell\": \"1.7 (0.6)\", \"bbox\": [196, 99, 223, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 99, 254, 108]}, {\"cell\": \"2.6 (0.5)\", \"bbox\": [260, 99, 286, 108]}, {\"cell\": \"3.3 (0.7)\", \"bbox\": [291, 99, 318, 108]}, {\"cell\": \"38 (4.3)\", \"bbox\": [328, 99, 354, 108]}, {\"cell\": \"9.9 (0.9)\", \"bbox\": [359, 99, 386, 108]}, {\"cell\": \"3.8 (0.6)\", \"bbox\": [391, 99, 418, 108]}, {\"cell\": \"110 (6)\", \"bbox\": [423, 99, 447, 108]}, {\"cell\": \"55 (4)\", \"bbox\": [458, 99, 479, 108]}, {\"cell\": \"2.0 (0.2)\", \"bbox\": [489, 99, 516, 108]}, {\"cell\": \"M5\", \"bbox\": [6, 108, 18, 116]}, {\"cell\": \"190 (3)\", \"bbox\": [34, 108, 58, 116]}, {\"cell\": \"320 (1)\", \"bbox\": [67, 108, 91, 116]}, {\"cell\": \"0.6 (0.01)\", \"bbox\": [99, 108, 130, 116]}, {\"cell\": \"15 (0.5)\", \"bbox\": [135, 108, 160, 116]}, {\"cell\": \"17 (1.3)\", \"bbox\": [165, 108, 191, 116]}, {\"cell\": \"0.9 (0.1)\", \"bbox\": [196, 108, 223, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 108, 254, 116]}, {\"cell\": \"3.6 (0.1)\", \"bbox\": [260, 108, 286, 116]}, {\"cell\": \"1.1 (0.1)\", \"bbox\": [291, 108, 318, 116]}, {\"cell\": \"21 (1.3)\", \"bbox\": [328, 108, 354, 116]}, {\"cell\": \"6.7 (0.5)\", \"bbox\": [359, 108, 386, 116]}, {\"cell\": \"3.1 (0.3)\", \"bbox\": [391, 108, 418, 116]}, {\"cell\": \"9.2 (0.5)\", \"bbox\": [425, 108, 452, 116]}, {\"cell\": \"4.1 (0.2)\", \"bbox\": [457, 108, 484, 116]}, {\"cell\": \"2.2 (0.2)\", \"bbox\": [489, 108, 516, 116]}, {\"cell\": \"M6\", \"bbox\": [6, 116, 18, 125]}, {\"cell\": \"230 (12)\", \"bbox\": [34, 116, 62, 125]}, {\"cell\": \"79 (5)\", \"bbox\": [70, 116, 91, 125]}, {\"cell\": \"2.9 (0.2)\", \"bbox\": [99, 116, 126, 125]}, {\"cell\": \"30 (2.2)\", \"bbox\": [135, 116, 160, 125]}, {\"cell\": \"12 (3.3)\", \"bbox\": [165, 116, 191, 125]}, {\"cell\": \"2.5 (0.7)\", \"bbox\": [196, 116, 223, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 116, 254, 125]}, {\"cell\": \"2.1 (0.4)\", \"bbox\": [260, 116, 286, 125]}, {\"cell\": \"6.2 (1.5)\", \"bbox\": [291, 116, 318, 125]}, {\"cell\": \"13 (1.3)\", \"bbox\": [328, 116, 354, 125]}, {\"cell\": \"5.1 (0.2)\", \"bbox\": [359, 116, 386, 125]}, {\"cell\": \"2.5 (0.3)\", \"bbox\": [391, 116, 418, 125]}, {\"cell\": \"120 (8)\", \"bbox\": [423, 116, 447, 125]}, {\"cell\": \"4.8 (0.3)\", \"bbox\": [457, 116, 484, 125]}, {\"cell\": \"25 (2)\", \"bbox\": [490, 116, 510, 125]}, {\"cell\": \"M7\", \"bbox\": [6, 125, 18, 133]}, {\"cell\": \"510 (21)\", \"bbox\": [34, 125, 62, 133]}, {\"cell\": \"160 (8)\", \"bbox\": [67, 125, 91, 133]}, {\"cell\": \"3.2 (0.2)\", \"bbox\": [99, 125, 126, 133]}, {\"cell\": \"19 (0.7)\", \"bbox\": [135, 125, 160, 133]}, {\"cell\": \"24 (4.2)\", \"bbox\": [165, 125, 191, 133]}, {\"cell\": \"0.8 (0.1)\", \"bbox\": [196, 125, 223, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 125, 254, 133]}, {\"cell\": \"4.5 (0.7)\", \"bbox\": [260, 125, 286, 133]}, {\"cell\": \"1.1 (0.3)\", \"bbox\": [291, 125, 318, 133]}, {\"cell\": \"14 (2.6)\", \"bbox\": [328, 125, 354, 133]}, {\"cell\": \"7.5 (0.3)\", \"bbox\": [359, 125, 386, 133]}, {\"cell\": \"1.9 (0.4)\", \"bbox\": [391, 125, 418, 133]}, {\"cell\": \"47 (2)\", \"bbox\": [426, 125, 447, 133]}, {\"cell\": \"2.6 (0.1)\", \"bbox\": [457, 125, 484, 133]}, {\"cell\": \"18 (1)\", \"bbox\": [490, 125, 510, 133]}, {\"cell\": \"M8\", \"bbox\": [6, 133, 18, 142]}, {\"cell\": \"180 (5)\", \"bbox\": [34, 133, 58, 142]}, {\"cell\": \"86 (2)\", \"bbox\": [70, 133, 91, 142]}, {\"cell\": \"2.1 (0.07)\", \"bbox\": [99, 133, 130, 142]}, {\"cell\": \"21 (1.0)\", \"bbox\": [135, 133, 160, 142]}, {\"cell\": \"12 (0.4)\", \"bbox\": [165, 133, 191, 142]}, {\"cell\": \"1.8 (0.1)\", \"bbox\": [196, 133, 223, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 133, 254, 142]}, {\"cell\": \"1.9 (0.3)\", \"bbox\": [260, 133, 286, 142]}, {\"cell\": \"3.6 (0.7)\", \"bbox\": [291, 133, 318, 142]}, {\"cell\": \"8.8 (0.3)\", \"bbox\": [327, 133, 354, 142]}, {\"cell\": \"13 (1.6)\", \"bbox\": [360, 133, 386, 142]}, {\"cell\": \"0.7 (0.1)\", \"bbox\": [391, 133, 418, 142]}, {\"cell\": \"7.7 (0.6)\", \"bbox\": [425, 133, 452, 142]}, {\"cell\": \"3 (0.2)\", \"bbox\": [462, 133, 484, 142]}, {\"cell\": \"2.6 (0.3)\", \"bbox\": [489, 133, 516, 142]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4588000_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}897{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Process</b></td><td><b>Class ID</b></td><td><b>Description</b></td><td><b>CDS</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>D</td><td>Cell cycle control, cell division, chromosome partitioning</td><td>28</td></tr><tr><td>[EMPTY_CELL]</td><td>M</td><td>Cell wall/membrane/envelope biogenesis</td><td>118</td></tr><tr><td>[EMPTY_CELL]</td><td>N</td><td>Cell motility</td><td>23</td></tr><tr><td>[EMPTY_CELL]</td><td>O</td><td>Post-translational modification, protein turnover, chaperones</td><td>88</td></tr><tr><td>[EMPTY_CELL]</td><td>T</td><td>Signal transduction mechanisms</td><td>51</td></tr><tr><td>[EMPTY_CELL]</td><td>U</td><td>Intracellular trafficking, secretion, and vesicular transport</td><td>52</td></tr><tr><td>[EMPTY_CELL]</td><td>V</td><td>Defense mechanisms</td><td>18</td></tr><tr><td>[EMPTY_CELL]</td><td>J</td><td>Translation, ribosomal structure, and biogenesis</td><td>144</td></tr><tr><td>[EMPTY_CELL]</td><td>K</td><td>Transcription</td><td>68</td></tr><tr><td>[EMPTY_CELL]</td><td>L</td><td>Replication, recombination, and repair</td><td>91</td></tr><tr><td>[EMPTY_CELL]</td><td>C</td><td>Energy production and conversion</td><td>129</td></tr><tr><td>[EMPTY_CELL]</td><td>E</td><td>Amino acid transport and metabolism</td><td>131</td></tr><tr><td>[EMPTY_CELL]</td><td>F</td><td>Nucleotide transport and metabolism</td><td>52</td></tr><tr><td>[EMPTY_CELL]</td><td>G</td><td>Carbohydrate transport and metabolism</td><td>54</td></tr><tr><td>[EMPTY_CELL]</td><td>H</td><td>Coenzyme transport and metabolism</td><td>82</td></tr><tr><td>[EMPTY_CELL]</td><td>I</td><td>Lipid transport and metabolism</td><td>37</td></tr><tr><td>[EMPTY_CELL]</td><td>P</td><td>Inorganic ion transport and metabolism</td><td>88</td></tr><tr><td>[EMPTY_CELL]</td><td>Q</td><td>Secondary metabolites biosynthesis, transport, and catabolism</td><td>21</td></tr><tr><td>[EMPTY_CELL]</td><td>R</td><td>General function prediction only</td><td>221</td></tr><tr><td>[EMPTY_CELL]</td><td>S</td><td>Function unknown</td><td>121</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Process</b>\", \"bbox\": [1, 2, 30, 11]}, {\"cell\": \"<b>Class ID</b>\", \"bbox\": [79, 2, 109, 11]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [120, 2, 161, 11]}, {\"cell\": \"<b>CDS</b>\", \"bbox\": [232, 2, 249, 11]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 19, 57, 37]}, {\"cell\": \"D\", \"bbox\": [91, 19, 98, 28]}, {\"cell\": \"Cell cycle control, cell division, chromosome partitioning\", \"bbox\": [120, 19, 213, 37]}, {\"cell\": \"28\", \"bbox\": [236, 19, 245, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"M\", \"bbox\": [90, 40, 98, 49]}, {\"cell\": \"Cell wall/membrane/envelope biogenesis\", \"bbox\": [120, 40, 210, 58]}, {\"cell\": \"118\", \"bbox\": [234, 40, 247, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"N\", \"bbox\": [91, 61, 98, 70]}, {\"cell\": \"Cell motility\", \"bbox\": [120, 61, 156, 70]}, {\"cell\": \"23\", \"bbox\": [236, 61, 245, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"O\", \"bbox\": [91, 72, 98, 81]}, {\"cell\": \"Post-translational modification, protein turnover, chaperones\", \"bbox\": [120, 72, 214, 90]}, {\"cell\": \"88\", \"bbox\": [236, 72, 245, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T\", \"bbox\": [91, 93, 97, 102]}, {\"cell\": \"Signal transduction mechanisms\", \"bbox\": [120, 93, 179, 111]}, {\"cell\": \"51\", \"bbox\": [236, 93, 245, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"U\", \"bbox\": [91, 114, 98, 123]}, {\"cell\": \"Intracellular trafficking, secretion, and vesicular transport\", \"bbox\": [120, 114, 193, 142]}, {\"cell\": \"52\", \"bbox\": [236, 114, 245, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"V\", \"bbox\": [91, 144, 97, 153]}, {\"cell\": \"Defense mechanisms\", \"bbox\": [120, 144, 187, 153]}, {\"cell\": \"18\", \"bbox\": [236, 144, 245, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 156, 61, 174]}, {\"cell\": \"J\", \"bbox\": [91, 156, 97, 164]}, {\"cell\": \"Translation, ribosomal structure, and biogenesis\", \"bbox\": [120, 156, 198, 174]}, {\"cell\": \"144\", \"bbox\": [234, 156, 247, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"K\", \"bbox\": [91, 175, 97, 184]}, {\"cell\": \"Transcription\", \"bbox\": [120, 175, 160, 184]}, {\"cell\": \"68\", \"bbox\": [236, 175, 245, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"L\", \"bbox\": [91, 187, 97, 195]}, {\"cell\": \"Replication, recombination, and repair\", \"bbox\": [120, 187, 217, 205]}, {\"cell\": \"91\", \"bbox\": [236, 187, 245, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 207, 37, 216]}, {\"cell\": \"C\", \"bbox\": [91, 207, 98, 216]}, {\"cell\": \"Energy production and conversion\", \"bbox\": [120, 207, 190, 225]}, {\"cell\": \"129\", \"bbox\": [234, 207, 247, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"E\", \"bbox\": [91, 228, 97, 237]}, {\"cell\": \"Amino acid transport and metabolism\", \"bbox\": [120, 228, 198, 246]}, {\"cell\": \"131\", \"bbox\": [234, 228, 247, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F\", \"bbox\": [91, 249, 97, 258]}, {\"cell\": \"Nucleotide transport and metabolism\", \"bbox\": [120, 249, 197, 267]}, {\"cell\": \"52\", \"bbox\": [236, 249, 245, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G\", \"bbox\": [91, 270, 98, 278]}, {\"cell\": \"Carbohydrate transport and metabolism\", \"bbox\": [120, 270, 206, 288]}, {\"cell\": \"54\", \"bbox\": [236, 270, 245, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"H\", \"bbox\": [91, 291, 98, 299]}, {\"cell\": \"Coenzyme transport and metabolism\", \"bbox\": [120, 291, 197, 309]}, {\"cell\": \"82\", \"bbox\": [236, 291, 245, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"I\", \"bbox\": [92, 312, 96, 320]}, {\"cell\": \"Lipid transport and metabolism\", \"bbox\": [120, 312, 216, 320]}, {\"cell\": \"37\", \"bbox\": [236, 312, 245, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"P\", \"bbox\": [91, 323, 97, 331]}, {\"cell\": \"Inorganic ion transport and metabolism\", \"bbox\": [120, 323, 203, 341]}, {\"cell\": \"88\", \"bbox\": [236, 323, 245, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Q\", \"bbox\": [91, 344, 98, 352]}, {\"cell\": \"Secondary metabolites biosynthesis, transport, and catabolism\", \"bbox\": [120, 344, 205, 371]}, {\"cell\": \"21\", \"bbox\": [236, 344, 245, 352]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 374, 64, 383]}, {\"cell\": \"R\", \"bbox\": [91, 374, 97, 383]}, {\"cell\": \"General function prediction only\", \"bbox\": [120, 374, 217, 383]}, {\"cell\": \"221\", \"bbox\": [234, 374, 247, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"S\", \"bbox\": [91, 385, 97, 394]}, {\"cell\": \"Function unknown\", \"bbox\": [120, 385, 177, 394]}, {\"cell\": \"121\", \"bbox\": [234, 385, 247, 394]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4674564_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}898{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Case n°</b></td><td><b>Source</b></td><td><b>Year</b></td><td><b>Age (sex)</b></td><td><b>Location</b></td><td><b>Size (mm)</b></td><td><b>Type of thepancreatitis</b></td><td><b>Pathogenesis¥</b></td><td><b>Surgicaltreatment</b></td><td><b>Follow-up(months)</b></td></tr></thead><tbody><tr><td>1</td><td>Augustin et al. [4]</td><td>1984</td><td>30 (male)</td><td>Body</td><td>[EMPTY_CELL]</td><td>...</td><td>Opening</td><td>Left pancreatectomy+splenectomy</td><td>...</td></tr><tr><td>2</td><td>Papadimitriou [5]</td><td>1987</td><td>35 (male)</td><td>Head</td><td>[EMPTY_CELL]</td><td>Edematous</td><td>Opening</td><td>cyst fenestration</td><td>12</td></tr><tr><td>4</td><td>Ozmen et al. [7]</td><td>2005</td><td>18 (female)</td><td>Head</td><td>[EMPTY_CELL]</td><td>Necrotizing</td><td>Compression</td><td>Total cystectomy</td><td>16</td></tr><tr><td>5</td><td>Pouget et al. [8]</td><td>2009</td><td>29 (male)</td><td>Body</td><td>[EMPTY_CELL]</td><td>Edematous</td><td>Opening</td><td>Left pancreatectomy+splenectomy</td><td>3</td></tr><tr><td>6</td><td>Diop et al. [9]</td><td>2010</td><td>29 (male)</td><td>Tail</td><td>[EMPTY_CELL]</td><td>Edematous</td><td>Opening</td><td>Left pancreatectomy</td><td>48</td></tr><tr><td>7</td><td>Karakas et al. [10]</td><td>2010</td><td>18 (male)</td><td>Body</td><td>[EMPTY_CELL]</td><td>Edematous</td><td>Opening</td><td>cyst fenestration</td><td>4</td></tr><tr><td>8</td><td>Chammakhi et al. [11]</td><td>2010</td><td>32 (Female)</td><td>Tail</td><td>[EMPTY_CELL]</td><td>Necrotizing</td><td>Opening</td><td>Left pancreatectomy+splenectomy</td><td>6</td></tr><tr><td>9</td><td>Present case</td><td>2011</td><td>38 (male)</td><td>Body</td><td>[EMPTY_CELL]</td><td>Edematous</td><td>Opening</td><td>Left pancreatectomy+splenectomy</td><td>3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Case n°</b>\", \"bbox\": [1, 4, 26, 22]}, {\"cell\": \"<b>Source</b>\", \"bbox\": [52, 4, 78, 13]}, {\"cell\": \"<b>Year</b>\", \"bbox\": [103, 4, 120, 13]}, {\"cell\": \"<b>Age (sex)</b>\", \"bbox\": [126, 4, 160, 13]}, {\"cell\": \"<b>Location</b>\", \"bbox\": [165, 4, 197, 13]}, {\"cell\": \"<b>Size (mm)</b>\", \"bbox\": [208, 4, 228, 22]}, {\"cell\": \"<b>Type of thepancreatitis</b>\", \"bbox\": [239, 4, 281, 22]}, {\"cell\": \"<b>Pathogenesis¥</b>\", \"bbox\": [286, 4, 332, 22]}, {\"cell\": \"<b>Surgicaltreatment</b>\", \"bbox\": [372, 4, 408, 22]}, {\"cell\": \"<b>Follow-up(months)</b>\", \"bbox\": [448, 4, 484, 22]}, {\"cell\": \"1\", \"bbox\": [1, 26, 6, 36]}, {\"cell\": \"Augustin et al. [4]\", \"bbox\": [35, 26, 94, 36]}, {\"cell\": \"1984\", \"bbox\": [103, 26, 120, 36]}, {\"cell\": \"30 (male)\", \"bbox\": [127, 26, 159, 36]}, {\"cell\": \"Body\", \"bbox\": [172, 26, 190, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 26, 221, 36]}, {\"cell\": \"...\", \"bbox\": [257, 26, 263, 36]}, {\"cell\": \"Opening\", \"bbox\": [294, 26, 324, 36]}, {\"cell\": \"Left pancreatectomy+splenectomy\", \"bbox\": [356, 26, 424, 45]}, {\"cell\": \"...\", \"bbox\": [463, 26, 469, 36]}, {\"cell\": \"2\", \"bbox\": [1, 48, 6, 58]}, {\"cell\": \"Papadimitriou [5]\", \"bbox\": [36, 48, 93, 58]}, {\"cell\": \"1987\", \"bbox\": [103, 48, 120, 58]}, {\"cell\": \"35 (male)\", \"bbox\": [127, 48, 159, 58]}, {\"cell\": \"Head\", \"bbox\": [172, 48, 190, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 48, 223, 58]}, {\"cell\": \"Edematous\", \"bbox\": [241, 48, 279, 58]}, {\"cell\": \"Opening\", \"bbox\": [294, 48, 324, 58]}, {\"cell\": \"cyst fenestration\", \"bbox\": [363, 48, 417, 58]}, {\"cell\": \"12\", \"bbox\": [461, 48, 471, 58]}, {\"cell\": \"4\", \"bbox\": [1, 61, 6, 71]}, {\"cell\": \"Ozmen et al. [7]\", \"bbox\": [38, 61, 92, 71]}, {\"cell\": \"2005\", \"bbox\": [103, 61, 120, 71]}, {\"cell\": \"18 (female)\", \"bbox\": [129, 61, 157, 80]}, {\"cell\": \"Head\", \"bbox\": [172, 61, 190, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 61, 223, 71]}, {\"cell\": \"Necrotizing\", \"bbox\": [241, 61, 279, 71]}, {\"cell\": \"Compression\", \"bbox\": [287, 61, 331, 71]}, {\"cell\": \"Total cystectomy\", \"bbox\": [362, 61, 418, 71]}, {\"cell\": \"16\", \"bbox\": [461, 61, 471, 71]}, {\"cell\": \"5\", \"bbox\": [1, 84, 6, 93]}, {\"cell\": \"Pouget et al. [8]\", \"bbox\": [38, 84, 92, 93]}, {\"cell\": \"2009\", \"bbox\": [103, 84, 120, 93]}, {\"cell\": \"29 (male)\", \"bbox\": [127, 84, 159, 93]}, {\"cell\": \"Body\", \"bbox\": [172, 84, 190, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 84, 223, 93]}, {\"cell\": \"Edematous\", \"bbox\": [241, 84, 279, 93]}, {\"cell\": \"Opening\", \"bbox\": [294, 84, 324, 93]}, {\"cell\": \"Left pancreatectomy+splenectomy\", \"bbox\": [356, 84, 424, 102]}, {\"cell\": \"3\", \"bbox\": [463, 84, 469, 93]}, {\"cell\": \"6\", \"bbox\": [0, 105, 6, 114]}, {\"cell\": \"Diop et al. [9]\", \"bbox\": [42, 105, 88, 114]}, {\"cell\": \"2010\", \"bbox\": [103, 105, 120, 114]}, {\"cell\": \"29 (male)\", \"bbox\": [127, 105, 159, 114]}, {\"cell\": \"Tail\", \"bbox\": [175, 105, 187, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 105, 223, 114]}, {\"cell\": \"Edematous\", \"bbox\": [241, 105, 279, 114]}, {\"cell\": \"Opening\", \"bbox\": [294, 105, 324, 114]}, {\"cell\": \"Left pancreatectomy\", \"bbox\": [356, 105, 424, 114]}, {\"cell\": \"48\", \"bbox\": [461, 105, 471, 114]}, {\"cell\": \"7\", \"bbox\": [0, 117, 6, 126]}, {\"cell\": \"Karakas et al. [10]\", \"bbox\": [36, 117, 94, 126]}, {\"cell\": \"2010\", \"bbox\": [103, 117, 120, 126]}, {\"cell\": \"18 (male)\", \"bbox\": [127, 117, 159, 126]}, {\"cell\": \"Body\", \"bbox\": [172, 117, 190, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 117, 223, 126]}, {\"cell\": \"Edematous\", \"bbox\": [241, 117, 279, 126]}, {\"cell\": \"Opening\", \"bbox\": [294, 117, 324, 126]}, {\"cell\": \"cyst fenestration\", \"bbox\": [363, 117, 417, 126]}, {\"cell\": \"4\", \"bbox\": [463, 117, 469, 126]}, {\"cell\": \"8\", \"bbox\": [0, 128, 6, 138]}, {\"cell\": \"Chammakhi et al. [11]\", \"bbox\": [36, 128, 94, 147]}, {\"cell\": \"2010\", \"bbox\": [103, 128, 120, 138]}, {\"cell\": \"32 (Female)\", \"bbox\": [128, 128, 157, 147]}, {\"cell\": \"Tail\", \"bbox\": [175, 128, 187, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 128, 223, 138]}, {\"cell\": \"Necrotizing\", \"bbox\": [241, 128, 279, 138]}, {\"cell\": \"Opening\", \"bbox\": [294, 128, 324, 138]}, {\"cell\": \"Left pancreatectomy+splenectomy\", \"bbox\": [356, 128, 424, 147]}, {\"cell\": \"6\", \"bbox\": [463, 128, 469, 138]}, {\"cell\": \"9\", \"bbox\": [0, 149, 6, 159]}, {\"cell\": \"Present case\", \"bbox\": [44, 149, 86, 159]}, {\"cell\": \"2011\", \"bbox\": [103, 149, 120, 159]}, {\"cell\": \"38 (male)\", \"bbox\": [127, 149, 159, 159]}, {\"cell\": \"Body\", \"bbox\": [172, 149, 190, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [211, 149, 225, 159]}, {\"cell\": \"Edematous\", \"bbox\": [241, 149, 279, 159]}, {\"cell\": \"Opening\", \"bbox\": [294, 149, 324, 159]}, {\"cell\": \"Left pancreatectomy+splenectomy\", \"bbox\": [356, 149, 424, 168]}, {\"cell\": \"3\", \"bbox\": [463, 149, 469, 159]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3325852_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}899{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Norway*</b></td><td><b>United Kingdom<sup>†</sup></b></td><td><b>USA<sup>‡</sup></b></td><td><b>Australia<sup>§</sup></b></td></tr></thead><tbody><tr><td><b>HbA1c treatment target</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Children/Type 1 < 18 years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>< 7%</td><td>[EMPTY_CELL]</td></tr><tr><td> Type 1 > 18 years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>< 7%</td><td>[EMPTY_CELL]</td></tr><tr><td> Type 2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>< 7%</td><td>[EMPTY_CELL]</td></tr><tr><td> Younger (<80 years)</td><td>< 7%</td><td>[EMPTY_CELL]</td><td>< 7%</td><td>[EMPTY_CELL]</td></tr><tr><td> Older (>80 years)</td><td>< 9%</td><td>[EMPTY_CELL]</td><td>< 7%</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Screening for diabetic retinopathy</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <b>First examination</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Children/Type 1<18 years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>At puberty</td></tr><tr><td> < 30 years/Type 1</td><td>5 years after diagnosis</td><td>[EMPTY_CELL]</td><td>5 years after diagnosis</td><td>At diagnosis</td></tr><tr><td> > 30 years/Type 2</td><td>At diagnosis</td><td>[EMPTY_CELL]</td><td>At diagnosis</td><td>At diagnosis</td></tr><tr><td> <b>Follow-up in absence of retinopathy</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Children/Type 1 < 18 years</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Annually</td><td>At least biannually</td></tr><tr><td> < 30 years/Type 1</td><td>Annually</td><td>[EMPTY_CELL]</td><td>Annually</td><td>At least biannually</td></tr><tr><td> > 30 years/Type 2</td><td>Annually/Biannually</td><td>[EMPTY_CELL]</td><td>Annually</td><td>At least biannually</td></tr><tr><td> <b>Follow-up in retinopathy</b></td><td>Individual</td><td>[EMPTY_CELL]</td><td>Individual</td><td>Individual</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Norway*</b>\", \"bbox\": [195, 4, 231, 14]}, {\"cell\": \"<b>United Kingdom<sup>†</sup></b>\", \"bbox\": [263, 4, 332, 14]}, {\"cell\": \"<b>USA<sup>‡</sup></b>\", \"bbox\": [371, 4, 394, 14]}, {\"cell\": \"<b>Australia<sup>§</sup></b>\", \"bbox\": [444, 4, 483, 14]}, {\"cell\": \"<b>HbA1c treatment target</b>\", \"bbox\": [4, 27, 101, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Children/Type 1 < 18 years\", \"bbox\": [14, 37, 108, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 37, 310, 47]}, {\"cell\": \"< 7%\", \"bbox\": [373, 37, 392, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Type 1 > 18 years\", \"bbox\": [14, 47, 77, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 47, 310, 57]}, {\"cell\": \"< 7%\", \"bbox\": [373, 47, 392, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Type 2\", \"bbox\": [14, 57, 39, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 57, 314, 67]}, {\"cell\": \"< 7%\", \"bbox\": [373, 57, 392, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Younger (<80 years)\", \"bbox\": [14, 68, 85, 77]}, {\"cell\": \"< 7%\", \"bbox\": [204, 68, 223, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< 7%\", \"bbox\": [373, 68, 392, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Older (>80 years)\", \"bbox\": [14, 78, 77, 88]}, {\"cell\": \"< 9%\", \"bbox\": [204, 78, 223, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< 7%\", \"bbox\": [373, 78, 392, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Screening for diabetic retinopathy</b>\", \"bbox\": [4, 88, 138, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <b>First examination</b>\", \"bbox\": [14, 99, 85, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Children/Type 1<18 years\", \"bbox\": [14, 109, 104, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [271, 109, 325, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"At puberty\", \"bbox\": [444, 109, 483, 118]}, {\"cell\": \" < 30 years/Type 1\", \"bbox\": [14, 119, 77, 129]}, {\"cell\": \"5 years after diagnosis\", \"bbox\": [175, 119, 251, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 119, 319, 129]}, {\"cell\": \"5 years after diagnosis\", \"bbox\": [344, 119, 420, 129]}, {\"cell\": \"At diagnosis\", \"bbox\": [442, 119, 485, 129]}, {\"cell\": \" > 30 years/Type 2\", \"bbox\": [14, 129, 77, 139]}, {\"cell\": \"At diagnosis\", \"bbox\": [192, 129, 235, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 129, 319, 139]}, {\"cell\": \"At diagnosis\", \"bbox\": [361, 129, 403, 139]}, {\"cell\": \"At diagnosis\", \"bbox\": [442, 129, 485, 139]}, {\"cell\": \" <b>Follow-up in absence of retinopathy</b>\", \"bbox\": [14, 140, 154, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Children/Type 1 < 18 years\", \"bbox\": [14, 150, 108, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 150, 313, 159]}, {\"cell\": \"Annually\", \"bbox\": [367, 150, 398, 159]}, {\"cell\": \"At least biannually\", \"bbox\": [432, 150, 495, 159]}, {\"cell\": \" < 30 years/Type 1\", \"bbox\": [14, 160, 77, 170]}, {\"cell\": \"Annually\", \"bbox\": [198, 160, 229, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [282, 160, 313, 170]}, {\"cell\": \"Annually\", \"bbox\": [367, 160, 398, 170]}, {\"cell\": \"At least biannually\", \"bbox\": [432, 160, 495, 170]}, {\"cell\": \" > 30 years/Type 2\", \"bbox\": [14, 170, 77, 180]}, {\"cell\": \"Annually/Biannually\", \"bbox\": [180, 170, 246, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 170, 313, 180]}, {\"cell\": \"Annually\", \"bbox\": [367, 170, 398, 180]}, {\"cell\": \"At least biannually\", \"bbox\": [432, 170, 495, 180]}, {\"cell\": \" <b>Follow-up in retinopathy</b>\", \"bbox\": [14, 181, 111, 190]}, {\"cell\": \"Individual\", \"bbox\": [197, 180, 230, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 180, 315, 190]}, {\"cell\": \"Individual\", \"bbox\": [366, 180, 399, 190]}, {\"cell\": \"Individual\", \"bbox\": [447, 180, 480, 190]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2525638_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}900{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Assay</b></td><td><b>Target</b></td><td><b>Forward primer</b></td><td><b>Probe</b></td><td><b>Reverse primer</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><i>Peptostreptococcaceae</i> sp. COT-005</td><td>CGTAACCGAGGAAATTTTTCGA</td><td>TGGAATCAGTTACGTTTAGTG</td><td>GCAGGTTGCCCACGTGTT</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Peptostreptococcus sp.</i> COT-033</td><td>CGCGGTTGTGCTTAGTATTGAG</td><td>CACAACTGAGCGGCGG</td><td>TCCATGTGTATAGGGCAGGTTACC</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Neisseria animaloris</i> COT-016</td><td>AACTGTCCGAAAGGATGGCTAA</td><td>ATATTCTCTGAGGAGGAAAG</td><td>CGCAAGGCCCGAAGGT</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Porphyromonas</i> sp. IJD1952</td><td>CTTGCCTGATAGAAAGGGATAACC</td><td>TGAAAGTCGGACTAATAC</td><td>TCATGCAATAACCCAAGACCATA</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Porphyromonas canoris</i> COT-108</td><td>ATGGCGACCGGCGGAT</td><td>CCCCTCTGACAGGTAAGTTGCATACGC</td><td>CTTGAAATACCATGCAGYATCTCAAG</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Porphyromonas gulae II</i> COT-052</td><td>GTTGAAAGACGGACTAATACC</td><td>CCTTGCCCGRTCATGCAACCAAGCAAG</td><td>CATGCCTATCTTACAGCTATAAAT</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Pasteurellaceae [G-2] sp.</i> COT-080</td><td>CCTTCGGGTTGTAAAGTTCTT</td><td>AAGGTATCAACTWTAATAGAGTTGGTAAWDGACGTTAT</td><td>TGCTGGCACGGAGTTAG</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Odoribacter denticanis</i> COT-084</td><td>GGGTAACAGGCGGTAGCAATAC</td><td>ATGCAATCTACCTTTTACC</td><td>AAAGAAATGCATCGGGTATTAATCC</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Globicatella</i> sp. COT-107</td><td>CGGAAGGAGAACTTGTTCTTTGGA</td><td>TGTTACTCACCCGTGCGCCACT</td><td>GGTATTAGCACTCGTTTCCCAGT</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Lachnospiraceae</i> sp. COT-036</td><td>GAAGCRCGGGAAGCGGAAGT</td><td>CGTTACTCACCCGTCCGCCACT</td><td>CTTTTCCCTCYGTATCATGCGATAC</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Peptococcus</i> sp. COT-044</td><td>CGCATAATATCTCTTTATYGCATGATAG</td><td>CTAAACGACAGCDCTAAGGCCGTCTTT</td><td>TACTGATCGTCGCCTTGGT</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Filifactor</i> sp. COT-064</td><td>GGTGCGTAACGTGTGGGTAA</td><td>CCTTTGTCATGGGAATAA</td><td>TTCGGTATTAGCTGCTCTTTCAAG</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Peptostreptococcus</i> sp. COT-227</td><td>GCGACTGATTTGATGCTTGC</td><td>CACCCGTCCGCCGCTCAACTTTCAT</td><td>AACTTTTCAGTATGTTATCCATGTGTA</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Clostridiales</i> sp. COT-388</td><td>GGAAGAAGACTTCGGTCAACGGA</td><td>CGTTACTCACCCGTCCGCCACT</td><td>CATTTGGATGCCCATTCGGTATG</td></tr><tr><td>[EMPTY_CELL]</td><td>Tissierella sp. COT-029</td><td>GAAGAACCTGCCTTTCACATAGGA</td><td>CGGGATTAATACCAAATGA</td><td>CCCCAAAAACATGCGATCTC</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Chloroflexi</i> sp. COT-306</td><td>GAACGGGTGCAGCGATGT</td><td>TGTTACTCACCCGTGCGCCACT</td><td>TAATCTGAGACAGCTTATGCGGT</td></tr><tr><td>[EMPTY_CELL]</td><td><i>Conchiformibius steedae</i> COT-280</td><td>GGGATAACTTGCCGAAAGGTAA</td><td>ACCTCGCGTTATCCGAGCGGCC</td><td>TAGGCTTTTACCCCACCAACT</td></tr><tr><td>[EMPTY_CELL]</td><td>All genus</td><td>CTCCTACGGGAGGCAGCAG</td><td>CCAGCAGCCGCGGT</td><td>GGACTACCAGGGTATCTAATCCTGTT</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CCTGCGGGAGGCAGC</td><td>[EMPTY_CELL]</td><td>TACCGGGGTATCTAATCCCGTT</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CTTCTACGGAAGGCAGCAGTAG</td><td>[EMPTY_CELL]</td><td>ACTACCAGGGTATCTAGTCCTGTTCG</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CTTCTACGGGAGGCAGCAG</td><td>[EMPTY_CELL]</td><td>GACTACCAGGGTGTCTAATCCTGTT</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CGACGGGAGGCAGCAG</td><td>[EMPTY_CELL]</td><td>GACTACTAGGGTATCTAATCCTGTTTGC</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CTACGGGAGGCGGCAG</td><td>[EMPTY_CELL]</td><td>GACTACCAAGGTATCTAATCCTGTTTGC</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GACTACCAGGGAATCTAATCCTGTTT</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GACTATCAGGGTACCTAATCCTGTTTG</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GACTACCGGAGTATCTAATTCCGTTC</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>GACTACCAGGGTATCTAATCCCGTT</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>CGGGGCATCTAATCCCGT</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Assay</b>\", \"bbox\": [1, 4, 22, 13]}, {\"cell\": \"<b>Target</b>\", \"bbox\": [49, 4, 73, 13]}, {\"cell\": \"<b>Forward primer</b>\", \"bbox\": [183, 4, 239, 13]}, {\"cell\": \"<b>Probe</b>\", \"bbox\": [327, 4, 349, 13]}, {\"cell\": \"<b>Reverse primer</b>\", \"bbox\": [522, 4, 576, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 27, 27]}, {\"cell\": \"<i>Peptostreptococcaceae</i> sp. COT-005\", \"bbox\": [49, 17, 162, 27]}, {\"cell\": \"CGTAACCGAGGAAATTTTTCGA\", \"bbox\": [183, 17, 282, 27]}, {\"cell\": \"TGGAATCAGTTACGTTTAGTG\", \"bbox\": [327, 17, 420, 27]}, {\"cell\": \"GCAGGTTGCCCACGTGTT\", \"bbox\": [522, 17, 603, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 31, 27, 40]}, {\"cell\": \"<i>Peptostreptococcus sp.</i> COT-033\", \"bbox\": [49, 31, 150, 41]}, {\"cell\": \"CGCGGTTGTGCTTAGTATTGAG\", \"bbox\": [183, 31, 281, 40]}, {\"cell\": \"CACAACTGAGCGGCGG\", \"bbox\": [327, 31, 403, 40]}, {\"cell\": \"TCCATGTGTATAGGGCAGGTTACC\", \"bbox\": [522, 31, 629, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 45, 27, 54]}, {\"cell\": \"<i>Neisseria animaloris</i> COT-016\", \"bbox\": [49, 45, 142, 55]}, {\"cell\": \"AACTGTCCGAAAGGATGGCTAA\", \"bbox\": [183, 45, 284, 54]}, {\"cell\": \"ATATTCTCTGAGGAGGAAAG\", \"bbox\": [327, 45, 418, 54]}, {\"cell\": \"CGCAAGGCCCGAAGGT\", \"bbox\": [522, 45, 598, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 59, 27, 68]}, {\"cell\": \"<i>Porphyromonas</i> sp. IJD1952\", \"bbox\": [49, 59, 138, 69]}, {\"cell\": \"CTTGCCTGATAGAAAGGGATAACC\", \"bbox\": [183, 59, 293, 68]}, {\"cell\": \"TGAAAGTCGGACTAATAC\", \"bbox\": [327, 59, 409, 68]}, {\"cell\": \"TCATGCAATAACCCAAGACCATA\", \"bbox\": [522, 59, 626, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 27, 82]}, {\"cell\": \"<i>Porphyromonas canoris</i> COT-108\", \"bbox\": [49, 73, 153, 83]}, {\"cell\": \"ATGGCGACCGGCGGAT\", \"bbox\": [183, 73, 259, 82]}, {\"cell\": \"CCCCTCTGACAGGTAAGTTGCATACGC\", \"bbox\": [327, 73, 448, 82]}, {\"cell\": \"CTTGAAATACCATGCAGYATCTCAAG\", \"bbox\": [522, 73, 638, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 27, 96]}, {\"cell\": \"<i>Porphyromonas gulae II</i> COT-052\", \"bbox\": [49, 87, 154, 97]}, {\"cell\": \"GTTGAAAGACGGACTAATACC\", \"bbox\": [183, 87, 280, 96]}, {\"cell\": \"CCTTGCCCGRTCATGCAACCAAGCAAG\", \"bbox\": [327, 87, 449, 96]}, {\"cell\": \"CATGCCTATCTTACAGCTATAAAT\", \"bbox\": [522, 87, 627, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 101, 27, 110]}, {\"cell\": \"<i>Pasteurellaceae [G-2] sp.</i> COT-080\", \"bbox\": [49, 101, 155, 111]}, {\"cell\": \"CCTTCGGGTTGTAAAGTTCTT\", \"bbox\": [183, 101, 275, 110]}, {\"cell\": \"AAGGTATCAACTWTAATAGAGTTGGTAAWDGACGTTAT\", \"bbox\": [327, 101, 500, 110]}, {\"cell\": \"TGCTGGCACGGAGTTAG\", \"bbox\": [522, 101, 600, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 115, 27, 124]}, {\"cell\": \"<i>Odoribacter denticanis</i> COT-084\", \"bbox\": [49, 115, 150, 125]}, {\"cell\": \"GGGTAACAGGCGGTAGCAATAC\", \"bbox\": [183, 115, 286, 124]}, {\"cell\": \"ATGCAATCTACCTTTTACC\", \"bbox\": [327, 115, 409, 124]}, {\"cell\": \"AAAGAAATGCATCGGGTATTAATCC\", \"bbox\": [522, 115, 635, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 27, 138]}, {\"cell\": \"<i>Globicatella</i> sp. COT-107\", \"bbox\": [49, 129, 127, 139]}, {\"cell\": \"CGGAAGGAGAACTTGTTCTTTGGA\", \"bbox\": [183, 129, 291, 138]}, {\"cell\": \"TGTTACTCACCCGTGCGCCACT\", \"bbox\": [327, 129, 425, 138]}, {\"cell\": \"GGTATTAGCACTCGTTTCCCAGT\", \"bbox\": [522, 129, 623, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 143, 27, 152]}, {\"cell\": \"<i>Lachnospiraceae</i> sp. COT-036\", \"bbox\": [49, 143, 143, 153]}, {\"cell\": \"GAAGCRCGGGAAGCGGAAGT\", \"bbox\": [183, 143, 278, 152]}, {\"cell\": \"CGTTACTCACCCGTCCGCCACT\", \"bbox\": [327, 143, 425, 152]}, {\"cell\": \"CTTTTCCCTCYGTATCATGCGATAC\", \"bbox\": [522, 143, 630, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 157, 27, 166]}, {\"cell\": \"<i>Peptococcus</i> sp. COT-044\", \"bbox\": [49, 157, 130, 167]}, {\"cell\": \"CGCATAATATCTCTTTATYGCATGATAG\", \"bbox\": [183, 157, 305, 166]}, {\"cell\": \"CTAAACGACAGCDCTAAGGCCGTCTTT\", \"bbox\": [327, 157, 449, 166]}, {\"cell\": \"TACTGATCGTCGCCTTGGT\", \"bbox\": [522, 157, 606, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 27, 180]}, {\"cell\": \"<i>Filifactor</i> sp. COT-064\", \"bbox\": [49, 171, 118, 181]}, {\"cell\": \"GGTGCGTAACGTGTGGGTAA\", \"bbox\": [183, 171, 275, 180]}, {\"cell\": \"CCTTTGTCATGGGAATAA\", \"bbox\": [327, 171, 407, 180]}, {\"cell\": \"TTCGGTATTAGCTGCTCTTTCAAG\", \"bbox\": [522, 171, 626, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 27, 194]}, {\"cell\": \"<i>Peptostreptococcus</i> sp. COT-227\", \"bbox\": [49, 185, 151, 195]}, {\"cell\": \"GCGACTGATTTGATGCTTGC\", \"bbox\": [183, 185, 272, 194]}, {\"cell\": \"CACCCGTCCGCCGCTCAACTTTCAT\", \"bbox\": [327, 185, 438, 194]}, {\"cell\": \"AACTTTTCAGTATGTTATCCATGTGTA\", \"bbox\": [522, 185, 638, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 199, 27, 208]}, {\"cell\": \"<i>Clostridiales</i> sp. COT-388\", \"bbox\": [49, 199, 128, 209]}, {\"cell\": \"GGAAGAAGACTTCGGTCAACGGA\", \"bbox\": [183, 199, 291, 208]}, {\"cell\": \"CGTTACTCACCCGTCCGCCACT\", \"bbox\": [327, 199, 425, 208]}, {\"cell\": \"CATTTGGATGCCCATTCGGTATG\", \"bbox\": [522, 199, 624, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 213, 27, 222]}, {\"cell\": \"Tissierella sp. COT-029\", \"bbox\": [49, 213, 121, 222]}, {\"cell\": \"GAAGAACCTGCCTTTCACATAGGA\", \"bbox\": [183, 213, 292, 222]}, {\"cell\": \"CGGGATTAATACCAAATGA\", \"bbox\": [327, 213, 414, 222]}, {\"cell\": \"CCCCAAAAACATGCGATCTC\", \"bbox\": [522, 213, 613, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 227, 27, 236]}, {\"cell\": \"<i>Chloroflexi</i> sp. COT-306\", \"bbox\": [49, 227, 123, 237]}, {\"cell\": \"GAACGGGTGCAGCGATGT\", \"bbox\": [183, 227, 267, 236]}, {\"cell\": \"TGTTACTCACCCGTGCGCCACT\", \"bbox\": [327, 227, 425, 236]}, {\"cell\": \"TAATCTGAGACAGCTTATGCGGT\", \"bbox\": [522, 227, 625, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 27, 250]}, {\"cell\": \"<i>Conchiformibius steedae</i> COT-280\", \"bbox\": [49, 241, 156, 251]}, {\"cell\": \"GGGATAACTTGCCGAAAGGTAA\", \"bbox\": [183, 241, 285, 250]}, {\"cell\": \"ACCTCGCGTTATCCGAGCGGCC\", \"bbox\": [327, 241, 427, 250]}, {\"cell\": \"TAGGCTTTTACCCCACCAACT\", \"bbox\": [522, 241, 615, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 255, 20, 265]}, {\"cell\": \"All genus\", \"bbox\": [49, 255, 81, 265]}, {\"cell\": \"CTCCTACGGGAGGCAGCAG\", \"bbox\": [183, 255, 272, 265]}, {\"cell\": \"CCAGCAGCCGCGGT\", \"bbox\": [327, 255, 393, 265]}, {\"cell\": \"GGACTACCAGGGTATCTAATCCTGTT\", \"bbox\": [522, 255, 637, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 269, 20, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CCTGCGGGAGGCAGC\", \"bbox\": [183, 269, 255, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TACCGGGGTATCTAATCCCGTT\", \"bbox\": [522, 269, 620, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 283, 20, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTTCTACGGAAGGCAGCAGTAG\", \"bbox\": [183, 283, 285, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ACTACCAGGGTATCTAGTCCTGTTCG\", \"bbox\": [522, 283, 637, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 297, 20, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTTCTACGGGAGGCAGCAG\", \"bbox\": [183, 297, 272, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACCAGGGTGTCTAATCCTGTT\", \"bbox\": [522, 297, 633, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 311, 20, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CGACGGGAGGCAGCAG\", \"bbox\": [183, 311, 261, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACTAGGGTATCTAATCCTGTTTGC\", \"bbox\": [522, 311, 645, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 325, 20, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CTACGGGAGGCGGCAG\", \"bbox\": [183, 325, 260, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACCAAGGTATCTAATCCTGTTTGC\", \"bbox\": [522, 325, 645, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 339, 20, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACCAGGGAATCTAATCCTGTTT\", \"bbox\": [522, 339, 637, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 353, 20, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTATCAGGGTACCTAATCCTGTTTG\", \"bbox\": [522, 353, 641, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 367, 20, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACCGGAGTATCTAATTCCGTTC\", \"bbox\": [522, 367, 637, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 381, 20, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GACTACCAGGGTATCTAATCCCGTT\", \"bbox\": [522, 381, 633, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 395, 20, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CGGGGCATCTAATCCCGT\", \"bbox\": [522, 395, 604, 404]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4236526_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}901{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Country</b></td><td><b>Year</b></td><td><b>Screened (N)</b></td><td><b>Outlets the met screening criteria</b></td><td><b>Anti-malarial audit complete (N)</b></td><td><b>Anti-malarials audited (N)</b></td><td><b>QA ACT audited (N)</b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\">West & Central Africa</td></tr><tr><td rowspan=\\\"4\\\"> Nigeria</td><td>2009</td><td>5456</td><td>2210</td><td>[EMPTY_CELL]</td><td>20,841</td><td>1192</td></tr><tr><td>2011</td><td>7938</td><td>1567</td><td>1486</td><td>[EMPTY_CELL]</td><td>2119</td></tr><tr><td>2013</td><td>5148</td><td>1828</td><td>1714</td><td>[EMPTY_CELL]</td><td>4799</td></tr><tr><td>2015</td><td>13,483</td><td>3624</td><td>3473</td><td>[EMPTY_CELL]</td><td>9581</td></tr><tr><td colspan=\\\"7\\\">East Africa</td></tr><tr><td rowspan=\\\"3\\\"> Kenya</td><td>2010</td><td>13,897</td><td>2625</td><td>[EMPTY_CELL]</td><td>8376</td><td>2052</td></tr><tr><td>2011</td><td>11,383</td><td>2112</td><td>1854</td><td>[EMPTY_CELL]</td><td>3669</td></tr><tr><td>2014</td><td>12,676</td><td>2477</td><td>2133</td><td>[EMPTY_CELL]</td><td>3234</td></tr><tr><td rowspan=\\\"3\\\"> Tanzania</td><td>2010</td><td>3120</td><td>710</td><td>[EMPTY_CELL]</td><td>5544</td><td>416</td></tr><tr><td>2011</td><td>3702</td><td>799</td><td>787</td><td>[EMPTY_CELL]</td><td>2045</td></tr><tr><td>2014</td><td>4724</td><td>2160</td><td>2129</td><td>[EMPTY_CELL]</td><td>4905</td></tr><tr><td rowspan=\\\"4\\\"> Uganda</td><td>2010</td><td>11,153</td><td>2590</td><td>[EMPTY_CELL]</td><td>14,427</td><td>2893</td></tr><tr><td>2011</td><td>16,207</td><td>3285</td><td>3138</td><td>[EMPTY_CELL]</td><td>5495</td></tr><tr><td>2013</td><td>7932</td><td>3504</td><td>3307</td><td>[EMPTY_CELL]</td><td>7182</td></tr><tr><td>2015</td><td>9438</td><td>4780</td><td>4328</td><td>[EMPTY_CELL]</td><td>7380</td></tr><tr><td colspan=\\\"7\\\">Southern Africa</td></tr><tr><td rowspan=\\\"4\\\"> Madagascar</td><td>2010</td><td>6769</td><td>2642</td><td>[EMPTY_CELL]</td><td>5579</td><td>1790</td></tr><tr><td>2011</td><td>10,046</td><td>2854</td><td>2360</td><td>[EMPTY_CELL]</td><td>3233</td></tr><tr><td>2013</td><td>10,149</td><td>2021</td><td>1756</td><td>[EMPTY_CELL]</td><td>3851</td></tr><tr><td>2015</td><td> 13,481</td><td>1361</td><td> 1040</td><td>[EMPTY_CELL]</td><td>1501</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Country</b>\", \"bbox\": [1, 4, 31, 14]}, {\"cell\": \"<b>Year</b>\", \"bbox\": [67, 4, 83, 14]}, {\"cell\": \"<b>Screened (N)</b>\", \"bbox\": [102, 4, 148, 14]}, {\"cell\": \"<b>Outlets the met screening criteria</b>\", \"bbox\": [163, 4, 245, 23]}, {\"cell\": \"<b>Anti-malarial audit complete (N)</b>\", \"bbox\": [250, 4, 316, 23]}, {\"cell\": \"<b>Anti-malarials audited (N)</b>\", \"bbox\": [340, 4, 390, 23]}, {\"cell\": \"<b>QA ACT audited (N)</b>\", \"bbox\": [415, 4, 483, 14]}, {\"cell\": \"West & Central Africa\", \"bbox\": [1, 31, 69, 41]}, {\"cell\": \" Nigeria\", \"bbox\": [5, 43, 30, 53]}, {\"cell\": \"2009\", \"bbox\": [67, 43, 84, 53]}, {\"cell\": \"5456\", \"bbox\": [109, 43, 126, 53]}, {\"cell\": \"2210\", \"bbox\": [163, 43, 180, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 43, 269, 53]}, {\"cell\": \"20,841\", \"bbox\": [340, 43, 362, 53]}, {\"cell\": \"1192\", \"bbox\": [415, 43, 432, 53]}, {\"cell\": \"2011\", \"bbox\": [67, 55, 84, 65]}, {\"cell\": \"7938\", \"bbox\": [109, 55, 126, 65]}, {\"cell\": \"1567\", \"bbox\": [163, 55, 180, 65]}, {\"cell\": \"1486\", \"bbox\": [251, 55, 269, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 55, 362, 65]}, {\"cell\": \"2119\", \"bbox\": [415, 55, 432, 65]}, {\"cell\": \"2013\", \"bbox\": [67, 67, 84, 77]}, {\"cell\": \"5148\", \"bbox\": [109, 67, 126, 77]}, {\"cell\": \"1828\", \"bbox\": [163, 67, 180, 77]}, {\"cell\": \"1714\", \"bbox\": [251, 67, 269, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 67, 362, 77]}, {\"cell\": \"4799\", \"bbox\": [415, 67, 432, 77]}, {\"cell\": \"2015\", \"bbox\": [67, 80, 84, 89]}, {\"cell\": \"13,483\", \"bbox\": [103, 80, 126, 89]}, {\"cell\": \"3624\", \"bbox\": [163, 80, 180, 89]}, {\"cell\": \"3473\", \"bbox\": [251, 80, 269, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 80, 362, 89]}, {\"cell\": \"9581\", \"bbox\": [415, 80, 432, 89]}, {\"cell\": \"East Africa\", \"bbox\": [1, 92, 35, 101]}, {\"cell\": \" Kenya\", \"bbox\": [5, 104, 27, 113]}, {\"cell\": \"2010\", \"bbox\": [67, 104, 84, 113]}, {\"cell\": \"13,897\", \"bbox\": [103, 104, 126, 113]}, {\"cell\": \"2625\", \"bbox\": [163, 104, 180, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 104, 269, 113]}, {\"cell\": \"8376\", \"bbox\": [345, 104, 362, 113]}, {\"cell\": \"2052\", \"bbox\": [415, 104, 432, 113]}, {\"cell\": \"2011\", \"bbox\": [67, 116, 84, 125]}, {\"cell\": \"11,383\", \"bbox\": [103, 116, 126, 125]}, {\"cell\": \"2112\", \"bbox\": [163, 116, 180, 125]}, {\"cell\": \"1854\", \"bbox\": [251, 116, 269, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 116, 362, 125]}, {\"cell\": \"3669\", \"bbox\": [415, 116, 432, 125]}, {\"cell\": \"2014\", \"bbox\": [67, 128, 84, 137]}, {\"cell\": \"12,676\", \"bbox\": [103, 128, 126, 137]}, {\"cell\": \"2477\", \"bbox\": [163, 128, 180, 137]}, {\"cell\": \"2133\", \"bbox\": [251, 128, 269, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 128, 362, 137]}, {\"cell\": \"3234\", \"bbox\": [415, 128, 432, 137]}, {\"cell\": \" Tanzania\", \"bbox\": [5, 140, 35, 150]}, {\"cell\": \"2010\", \"bbox\": [67, 140, 84, 150]}, {\"cell\": \"3120\", \"bbox\": [109, 140, 126, 150]}, {\"cell\": \"710\", \"bbox\": [166, 140, 180, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 140, 269, 150]}, {\"cell\": \"5544\", \"bbox\": [345, 140, 362, 150]}, {\"cell\": \"416\", \"bbox\": [418, 140, 432, 150]}, {\"cell\": \"2011\", \"bbox\": [67, 152, 84, 162]}, {\"cell\": \"3702\", \"bbox\": [109, 152, 126, 162]}, {\"cell\": \"799\", \"bbox\": [166, 152, 180, 162]}, {\"cell\": \"787\", \"bbox\": [255, 152, 269, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 152, 362, 162]}, {\"cell\": \"2045\", \"bbox\": [415, 152, 432, 162]}, {\"cell\": \"2014\", \"bbox\": [67, 164, 84, 174]}, {\"cell\": \"4724\", \"bbox\": [109, 164, 126, 174]}, {\"cell\": \"2160\", \"bbox\": [163, 164, 180, 174]}, {\"cell\": \"2129\", \"bbox\": [251, 164, 269, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 164, 362, 174]}, {\"cell\": \"4905\", \"bbox\": [415, 164, 432, 174]}, {\"cell\": \" Uganda\", \"bbox\": [5, 176, 33, 186]}, {\"cell\": \"2010\", \"bbox\": [67, 176, 84, 186]}, {\"cell\": \"11,153\", \"bbox\": [103, 176, 126, 186]}, {\"cell\": \"2590\", \"bbox\": [163, 176, 180, 186]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 176, 269, 186]}, {\"cell\": \"14,427\", \"bbox\": [340, 176, 362, 186]}, {\"cell\": \"2893\", \"bbox\": [415, 176, 432, 186]}, {\"cell\": \"2011\", \"bbox\": [67, 188, 84, 198]}, {\"cell\": \"16,207\", \"bbox\": [103, 188, 126, 198]}, {\"cell\": \"3285\", \"bbox\": [163, 188, 180, 198]}, {\"cell\": \"3138\", \"bbox\": [251, 188, 269, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 188, 362, 198]}, {\"cell\": \"5495\", \"bbox\": [415, 188, 432, 198]}, {\"cell\": \"2013\", \"bbox\": [67, 201, 84, 210]}, {\"cell\": \"7932\", \"bbox\": [109, 201, 126, 210]}, {\"cell\": \"3504\", \"bbox\": [163, 201, 180, 210]}, {\"cell\": \"3307\", \"bbox\": [251, 201, 269, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 201, 362, 210]}, {\"cell\": \"7182\", \"bbox\": [415, 201, 432, 210]}, {\"cell\": \"2015\", \"bbox\": [67, 213, 84, 222]}, {\"cell\": \"9438\", \"bbox\": [109, 213, 126, 222]}, {\"cell\": \"4780\", \"bbox\": [163, 213, 180, 222]}, {\"cell\": \"4328\", \"bbox\": [251, 213, 269, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [340, 213, 362, 222]}, {\"cell\": \"7380\", \"bbox\": [415, 213, 432, 222]}, {\"cell\": \"Southern Africa\", \"bbox\": [1, 225, 52, 234]}, {\"cell\": \" Madagascar\", \"bbox\": [5, 237, 46, 246]}, {\"cell\": \"2010\", \"bbox\": [67, 237, 84, 246]}, {\"cell\": \"6769\", \"bbox\": [109, 237, 126, 246]}, {\"cell\": \"2642\", \"bbox\": [163, 237, 180, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [251, 237, 269, 246]}, {\"cell\": \"5579\", \"bbox\": [345, 237, 362, 246]}, {\"cell\": \"1790\", \"bbox\": [415, 237, 432, 246]}, {\"cell\": \"2011\", \"bbox\": [67, 249, 84, 258]}, {\"cell\": \"10,046\", \"bbox\": [103, 249, 126, 258]}, {\"cell\": \"2854\", \"bbox\": [163, 249, 180, 258]}, {\"cell\": \"2360\", \"bbox\": [251, 249, 269, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 249, 362, 258]}, {\"cell\": \"3233\", \"bbox\": [415, 249, 432, 258]}, {\"cell\": \"2013\", \"bbox\": [67, 261, 84, 271]}, {\"cell\": \"10,149\", \"bbox\": [103, 261, 126, 271]}, {\"cell\": \"2021\", \"bbox\": [163, 261, 180, 271]}, {\"cell\": \"1756\", \"bbox\": [251, 261, 269, 271]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 261, 362, 271]}, {\"cell\": \"3851\", \"bbox\": [415, 261, 432, 271]}, {\"cell\": \"2015\", \"bbox\": [67, 273, 84, 283]}, {\"cell\": \" 13,481\", \"bbox\": [103, 273, 126, 283]}, {\"cell\": \"1361\", \"bbox\": [163, 273, 180, 283]}, {\"cell\": \" 1040\", \"bbox\": [251, 273, 269, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [345, 273, 362, 283]}, {\"cell\": \"1501\", \"bbox\": [415, 273, 432, 283]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5405529_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}902{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b><i>Gene</i></b></td><td><b><i>SNP</i></b></td><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b><i>Additive</i></b></td><td colspan=\\\"3\\\"><b><i>Dominant</i></b></td><td colspan=\\\"3\\\"><b><i>Recessive</i></b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>Risk allele</i></b></td><td><b><i>Odds ratio</i></b></td><td><b><i>95% Confidence interval</i></b></td><td><b>P<i>-value</i></b></td><td><b><i>Odds ratio</i></b></td><td><b><i>95% Confidence interval</i></b></td><td><b>P<i>-value</i></b></td><td><b><i>Odds ratio</i></b></td><td><b><i>95% Confidence interval</i></b></td><td><b>P<i>-value</i></b></td></tr></thead><tbody><tr><td><i>GCKR</i></td><td>rs1260326</td><td>C</td><td>[EMPTY_CELL]</td><td>0.897–1.008</td><td>0.090</td><td>0.912</td><td>0.816–1.019</td><td>0.105</td><td>0.950</td><td>0.874–1.032</td><td>0.226</td></tr><tr><td><i>IRS1</i></td><td>rs2943634</td><td>C</td><td>[EMPTY_CELL]</td><td>0.975–1.100</td><td>0.258</td><td>0.991</td><td>0.872–1.125</td><td>0.888</td><td>1.068</td><td>0.985–1.158</td><td>0.108</td></tr><tr><td><i>PPARγ2</i></td><td>rs1801282</td><td>C</td><td>[EMPTY_CELL]</td><td>0.940–1.127</td><td>0.539</td><td>0.828</td><td>0.590–1.164</td><td>0.277</td><td>1.051</td><td>0.951–1.161</td><td>0.330</td></tr><tr><td><i>IGF2BP2</i></td><td>rs1470579</td><td>C</td><td>[EMPTY_CELL]</td><td>0.979–1.102</td><td>0.211</td><td>1.040</td><td>0.958–1.129</td><td>0.351</td><td>1.071</td><td>0.952–1.205</td><td>0.254</td></tr><tr><td><i>WFS1</i></td><td>rs1801214</td><td>T</td><td>[EMPTY_CELL]</td><td>0.953–1.072</td><td>0.714</td><td>0.972</td><td>0.864–1.094</td><td>0.642</td><td>1.034</td><td>0.954–1.121</td><td>0.412</td></tr><tr><td><i>CDKAL1</i></td><td>rs7754840</td><td>C</td><td>[EMPTY_CELL]</td><td>0.945–1.063</td><td>0.943</td><td>1.011</td><td>0.933–1.096</td><td>0.785</td><td>0.983</td><td>0.870–1.112</td><td>0.790</td></tr><tr><td><i>GCK</i></td><td>rs1799884</td><td>A</td><td>[EMPTY_CELL]</td><td>0.939–1.082</td><td>0.822</td><td>0.996</td><td>0.916–1.084</td><td>0.934</td><td>1.092</td><td>0.892–1.337</td><td>0.392</td></tr><tr><td><i>SLC30A8</i></td><td>rs13266634</td><td>C</td><td>[EMPTY_CELL]</td><td>0.915–1.039</td><td>0.429</td><td>0.909</td><td>0.783–1.054</td><td>0.207</td><td>0.986</td><td>0.910–1.069</td><td>0.741</td></tr><tr><td><i>CDKN2A/B</i></td><td>rs2383208</td><td>A</td><td>[EMPTY_CELL]</td><td>0.927–1.073</td><td>0.937</td><td>1.075</td><td>0.858–1.346</td><td>0.531</td><td>0.986</td><td>0.905–1.073</td><td>0.738</td></tr><tr><td><i>HHEX</i></td><td>rs5015480</td><td>C</td><td>[EMPTY_CELL]</td><td>0.938–1.050</td><td>0.792</td><td>1.073</td><td>0.970–1.186</td><td>0.170</td><td>0.933</td><td>0.856–1.017</td><td>0.113</td></tr><tr><td><i>TCF7L2</i></td><td>rs7903146</td><td>T</td><td>[EMPTY_CELL]</td><td>0.931–1.051</td><td>0.722</td><td>0.997</td><td>0.921–1.079</td><td>0.940</td><td>0.954</td><td>0.832–1.095</td><td>0.503</td></tr><tr><td><i>KCNQI</i></td><td>Rs231362</td><td>C</td><td>[EMPTY_CELL]</td><td>0.972–1.090</td><td>0.325</td><td>0.959</td><td>0.864–1.065</td><td>0.437</td><td>1.092</td><td>1.005–1.188</td><td>0.039</td></tr><tr><td><i>KCNQI</i></td><td>rs2283228</td><td>A</td><td>[EMPTY_CELL]</td><td>0.870–1.036</td><td>0.245</td><td>0.760</td><td>0.579–0.998</td><td>0.048</td><td>0.968</td><td>0.876–1.070</td><td>0.527</td></tr><tr><td><i>KCNJ11</i></td><td>rs5219</td><td>T</td><td>[EMPTY_CELL]</td><td>0.930–1.047</td><td>0.671</td><td>0.979</td><td>0.901–1.063</td><td>0.607</td><td>0.993</td><td>0.882–1.118</td><td>0.912</td></tr><tr><td><i>MTNR1B</i></td><td>rs10830963</td><td>G</td><td>[EMPTY_CELL]</td><td>0.942–1.068</td><td>0.932</td><td>1.002</td><td>0.924–1.087</td><td>0.964</td><td>1.009</td><td>0.874–1.164</td><td>0.908</td></tr><tr><td><i>HNF1B</i></td><td>rs4430796</td><td>G</td><td>[EMPTY_CELL]</td><td>0.914–1.023</td><td>0.246</td><td>0.978</td><td>0.895–1.069</td><td>0.623</td><td>0.932</td><td>0.846–1.026</td><td>0.151</td></tr><tr><td><i>BCL2</i></td><td>Rs12454712</td><td>T</td><td>[EMPTY_CELL]</td><td>0.956–1.074</td><td>0.656</td><td>0.976</td><td>0.873–1.090</td><td>0.664</td><td>1.040</td><td>0.959–1.129</td><td>0.342</td></tr><tr><td><i>GATAD2A</i></td><td>rs16996148</td><td>T</td><td>[EMPTY_CELL]</td><td>0.862–1.054</td><td>0.350</td><td>0.958</td><td>0.859–1.069</td><td>0.444</td><td>0.812</td><td>0.528–1.250</td><td>0.344</td></tr><tr><td><i>GIPR</i></td><td>rs8108269</td><td>G</td><td>[EMPTY_CELL]</td><td>0.974–1.096</td><td>0.281</td><td>1.014</td><td>0.936–1.098</td><td>0.735</td><td>1.113</td><td>0.986–1.256</td><td>0.083</td></tr><tr><td><i>HNF4A</i></td><td>rs1884614</td><td>T</td><td>[EMPTY_CELL]</td><td>0.977–1.112</td><td>0.211</td><td>1.054</td><td>0.971–1.145</td><td>0.211</td><td>1.050</td><td>0.901–1.224</td><td>0.531</td></tr><tr><td>Gene score</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.987–1.016</td><td>0.833</td><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Gene</i></b>\", \"bbox\": [5, 7, 23, 15]}, {\"cell\": \"<b><i>SNP</i></b>\", \"bbox\": [63, 7, 78, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>Additive</i></b>\", \"bbox\": [174, 7, 202, 15]}, {\"cell\": \"<b><i>Dominant</i></b>\", \"bbox\": [299, 7, 334, 15]}, {\"cell\": \"<b><i>Recessive</i></b>\", \"bbox\": [429, 7, 460, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>Risk allele</i></b>\", \"bbox\": [100, 29, 118, 47]}, {\"cell\": \"<b><i>Odds ratio</i></b>\", \"bbox\": [132, 29, 150, 47]}, {\"cell\": \"<b><i>95% Confidence interval</i></b>\", \"bbox\": [163, 29, 217, 47]}, {\"cell\": \"<b>P<i>-value</i></b>\", \"bbox\": [225, 29, 250, 38]}, {\"cell\": \"<b><i>Odds ratio</i></b>\", \"bbox\": [260, 29, 278, 47]}, {\"cell\": \"<b><i>95% Confidence interval</i></b>\", \"bbox\": [291, 29, 345, 47]}, {\"cell\": \"<b>P<i>-value</i></b>\", \"bbox\": [353, 29, 379, 38]}, {\"cell\": \"<b><i>Odds ratio</i></b>\", \"bbox\": [388, 29, 407, 47]}, {\"cell\": \"<b><i>95% Confidence interval</i></b>\", \"bbox\": [419, 29, 473, 47]}, {\"cell\": \"<b>P<i>-value</i></b>\", \"bbox\": [481, 29, 507, 38]}, {\"cell\": \"<i>GCKR</i>\", \"bbox\": [5, 56, 24, 64]}, {\"cell\": \"rs1260326\", \"bbox\": [49, 56, 86, 63]}, {\"cell\": \"C\", \"bbox\": [106, 56, 113, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 56, 151, 63]}, {\"cell\": \"0.897–1.008\", \"bbox\": [169, 56, 211, 63]}, {\"cell\": \"0.090\", \"bbox\": [227, 56, 248, 63]}, {\"cell\": \"0.912\", \"bbox\": [259, 56, 279, 63]}, {\"cell\": \"0.816–1.019\", \"bbox\": [297, 56, 340, 63]}, {\"cell\": \"0.105\", \"bbox\": [356, 56, 376, 63]}, {\"cell\": \"0.950\", \"bbox\": [387, 56, 407, 63]}, {\"cell\": \"0.874–1.032\", \"bbox\": [425, 56, 468, 63]}, {\"cell\": \"0.226\", \"bbox\": [484, 56, 504, 63]}, {\"cell\": \"<i>IRS1</i>\", \"bbox\": [5, 65, 20, 73]}, {\"cell\": \"rs2943634\", \"bbox\": [49, 65, 86, 72]}, {\"cell\": \"C\", \"bbox\": [106, 65, 113, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 65, 151, 72]}, {\"cell\": \"0.975–1.100\", \"bbox\": [169, 65, 211, 72]}, {\"cell\": \"0.258\", \"bbox\": [227, 65, 248, 72]}, {\"cell\": \"0.991\", \"bbox\": [259, 65, 279, 72]}, {\"cell\": \"0.872–1.125\", \"bbox\": [297, 65, 340, 72]}, {\"cell\": \"0.888\", \"bbox\": [356, 65, 376, 72]}, {\"cell\": \"1.068\", \"bbox\": [387, 65, 407, 72]}, {\"cell\": \"0.985–1.158\", \"bbox\": [425, 65, 468, 72]}, {\"cell\": \"0.108\", \"bbox\": [484, 65, 504, 72]}, {\"cell\": \"<i>PPARγ2</i>\", \"bbox\": [5, 74, 30, 83]}, {\"cell\": \"rs1801282\", \"bbox\": [49, 74, 86, 81]}, {\"cell\": \"C\", \"bbox\": [106, 74, 113, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 74, 151, 81]}, {\"cell\": \"0.940–1.127\", \"bbox\": [169, 74, 211, 81]}, {\"cell\": \"0.539\", \"bbox\": [227, 74, 248, 81]}, {\"cell\": \"0.828\", \"bbox\": [259, 74, 279, 81]}, {\"cell\": \"0.590–1.164\", \"bbox\": [297, 74, 340, 81]}, {\"cell\": \"0.277\", \"bbox\": [356, 74, 376, 81]}, {\"cell\": \"1.051\", \"bbox\": [387, 74, 407, 81]}, {\"cell\": \"0.951–1.161\", \"bbox\": [425, 74, 468, 81]}, {\"cell\": \"0.330\", \"bbox\": [484, 74, 504, 81]}, {\"cell\": \"<i>IGF2BP2</i>\", \"bbox\": [5, 83, 33, 91]}, {\"cell\": \"rs1470579\", \"bbox\": [49, 83, 86, 90]}, {\"cell\": \"C\", \"bbox\": [106, 83, 113, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 83, 151, 90]}, {\"cell\": \"0.979–1.102\", \"bbox\": [169, 83, 211, 90]}, {\"cell\": \"0.211\", \"bbox\": [227, 83, 248, 90]}, {\"cell\": \"1.040\", \"bbox\": [259, 83, 279, 90]}, {\"cell\": \"0.958–1.129\", \"bbox\": [297, 83, 340, 90]}, {\"cell\": \"0.351\", \"bbox\": [356, 83, 376, 90]}, {\"cell\": \"1.071\", \"bbox\": [387, 83, 407, 90]}, {\"cell\": \"0.952–1.205\", \"bbox\": [425, 83, 468, 90]}, {\"cell\": \"0.254\", \"bbox\": [484, 83, 504, 90]}, {\"cell\": \"<i>WFS1</i>\", \"bbox\": [5, 92, 24, 100]}, {\"cell\": \"rs1801214\", \"bbox\": [49, 92, 86, 99]}, {\"cell\": \"T\", \"bbox\": [106, 92, 112, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 92, 151, 99]}, {\"cell\": \"0.953–1.072\", \"bbox\": [169, 92, 211, 99]}, {\"cell\": \"0.714\", \"bbox\": [227, 92, 248, 99]}, {\"cell\": \"0.972\", \"bbox\": [259, 92, 279, 99]}, {\"cell\": \"0.864–1.094\", \"bbox\": [297, 92, 340, 99]}, {\"cell\": \"0.642\", \"bbox\": [356, 92, 376, 99]}, {\"cell\": \"1.034\", \"bbox\": [387, 92, 407, 99]}, {\"cell\": \"0.954–1.121\", \"bbox\": [425, 92, 468, 99]}, {\"cell\": \"0.412\", \"bbox\": [484, 92, 504, 99]}, {\"cell\": \"<i>CDKAL1</i>\", \"bbox\": [5, 100, 32, 109]}, {\"cell\": \"rs7754840\", \"bbox\": [49, 101, 86, 108]}, {\"cell\": \"C\", \"bbox\": [106, 101, 113, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 101, 151, 108]}, {\"cell\": \"0.945–1.063\", \"bbox\": [169, 101, 211, 108]}, {\"cell\": \"0.943\", \"bbox\": [227, 101, 248, 108]}, {\"cell\": \"1.011\", \"bbox\": [259, 101, 279, 108]}, {\"cell\": \"0.933–1.096\", \"bbox\": [297, 101, 340, 108]}, {\"cell\": \"0.785\", \"bbox\": [356, 101, 376, 108]}, {\"cell\": \"0.983\", \"bbox\": [387, 101, 407, 108]}, {\"cell\": \"0.870–1.112\", \"bbox\": [425, 101, 468, 108]}, {\"cell\": \"0.790\", \"bbox\": [484, 101, 504, 108]}, {\"cell\": \"<i>GCK</i>\", \"bbox\": [5, 109, 20, 118]}, {\"cell\": \"rs1799884\", \"bbox\": [49, 110, 86, 117]}, {\"cell\": \"A\", \"bbox\": [106, 110, 113, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 110, 151, 117]}, {\"cell\": \"0.939–1.082\", \"bbox\": [169, 110, 211, 117]}, {\"cell\": \"0.822\", \"bbox\": [227, 110, 248, 117]}, {\"cell\": \"0.996\", \"bbox\": [259, 110, 279, 117]}, {\"cell\": \"0.916–1.084\", \"bbox\": [297, 110, 340, 117]}, {\"cell\": \"0.934\", \"bbox\": [356, 110, 376, 117]}, {\"cell\": \"1.092\", \"bbox\": [387, 110, 407, 117]}, {\"cell\": \"0.892–1.337\", \"bbox\": [425, 110, 468, 117]}, {\"cell\": \"0.392\", \"bbox\": [484, 110, 504, 117]}, {\"cell\": \"<i>SLC30A8</i>\", \"bbox\": [5, 118, 34, 127]}, {\"cell\": \"rs13266634\", \"bbox\": [49, 119, 90, 126]}, {\"cell\": \"C\", \"bbox\": [106, 119, 113, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 119, 151, 126]}, {\"cell\": \"0.915–1.039\", \"bbox\": [169, 119, 211, 126]}, {\"cell\": \"0.429\", \"bbox\": [227, 119, 248, 126]}, {\"cell\": \"0.909\", \"bbox\": [259, 119, 279, 126]}, {\"cell\": \"0.783–1.054\", \"bbox\": [297, 119, 340, 126]}, {\"cell\": \"0.207\", \"bbox\": [356, 119, 376, 126]}, {\"cell\": \"0.986\", \"bbox\": [387, 119, 407, 126]}, {\"cell\": \"0.910–1.069\", \"bbox\": [425, 119, 468, 126]}, {\"cell\": \"0.741\", \"bbox\": [484, 119, 504, 126]}, {\"cell\": \"<i>CDKN2A/B</i>\", \"bbox\": [5, 127, 40, 136]}, {\"cell\": \"rs2383208\", \"bbox\": [49, 128, 86, 135]}, {\"cell\": \"A\", \"bbox\": [106, 128, 113, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 128, 151, 135]}, {\"cell\": \"0.927–1.073\", \"bbox\": [169, 128, 211, 135]}, {\"cell\": \"0.937\", \"bbox\": [227, 128, 248, 135]}, {\"cell\": \"1.075\", \"bbox\": [259, 128, 279, 135]}, {\"cell\": \"0.858–1.346\", \"bbox\": [297, 128, 340, 135]}, {\"cell\": \"0.531\", \"bbox\": [356, 128, 376, 135]}, {\"cell\": \"0.986\", \"bbox\": [387, 128, 407, 135]}, {\"cell\": \"0.905–1.073\", \"bbox\": [425, 128, 468, 135]}, {\"cell\": \"0.738\", \"bbox\": [484, 128, 504, 135]}, {\"cell\": \"<i>HHEX</i>\", \"bbox\": [5, 136, 24, 145]}, {\"cell\": \"rs5015480\", \"bbox\": [49, 137, 86, 144]}, {\"cell\": \"C\", \"bbox\": [106, 137, 113, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 137, 151, 144]}, {\"cell\": \"0.938–1.050\", \"bbox\": [169, 137, 211, 144]}, {\"cell\": \"0.792\", \"bbox\": [227, 137, 248, 144]}, {\"cell\": \"1.073\", \"bbox\": [259, 137, 279, 144]}, {\"cell\": \"0.970–1.186\", \"bbox\": [297, 137, 340, 144]}, {\"cell\": \"0.170\", \"bbox\": [356, 137, 376, 144]}, {\"cell\": \"0.933\", \"bbox\": [387, 137, 407, 144]}, {\"cell\": \"0.856–1.017\", \"bbox\": [425, 137, 468, 144]}, {\"cell\": \"0.113\", \"bbox\": [484, 137, 504, 144]}, {\"cell\": \"<i>TCF7L2</i>\", \"bbox\": [5, 145, 30, 154]}, {\"cell\": \"rs7903146\", \"bbox\": [49, 146, 86, 153]}, {\"cell\": \"T\", \"bbox\": [106, 146, 112, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 146, 151, 153]}, {\"cell\": \"0.931–1.051\", \"bbox\": [169, 146, 211, 153]}, {\"cell\": \"0.722\", \"bbox\": [227, 146, 248, 153]}, {\"cell\": \"0.997\", \"bbox\": [259, 146, 279, 153]}, {\"cell\": \"0.921–1.079\", \"bbox\": [297, 146, 340, 153]}, {\"cell\": \"0.940\", \"bbox\": [356, 146, 376, 153]}, {\"cell\": \"0.954\", \"bbox\": [387, 146, 407, 153]}, {\"cell\": \"0.832–1.095\", \"bbox\": [425, 146, 468, 153]}, {\"cell\": \"0.503\", \"bbox\": [484, 146, 504, 153]}, {\"cell\": \"<i>KCNQI</i>\", \"bbox\": [5, 154, 27, 163]}, {\"cell\": \"Rs231362\", \"bbox\": [49, 154, 84, 162]}, {\"cell\": \"C\", \"bbox\": [106, 154, 113, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 154, 151, 162]}, {\"cell\": \"0.972–1.090\", \"bbox\": [169, 154, 211, 162]}, {\"cell\": \"0.325\", \"bbox\": [227, 154, 248, 162]}, {\"cell\": \"0.959\", \"bbox\": [259, 154, 279, 162]}, {\"cell\": \"0.864–1.065\", \"bbox\": [297, 154, 340, 162]}, {\"cell\": \"0.437\", \"bbox\": [356, 154, 376, 162]}, {\"cell\": \"1.092\", \"bbox\": [387, 154, 407, 162]}, {\"cell\": \"1.005–1.188\", \"bbox\": [425, 154, 468, 162]}, {\"cell\": \"0.039\", \"bbox\": [484, 154, 504, 162]}, {\"cell\": \"<i>KCNQI</i>\", \"bbox\": [5, 163, 27, 172]}, {\"cell\": \"rs2283228\", \"bbox\": [49, 163, 86, 171]}, {\"cell\": \"A\", \"bbox\": [106, 163, 113, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 163, 151, 171]}, {\"cell\": \"0.870–1.036\", \"bbox\": [169, 163, 211, 171]}, {\"cell\": \"0.245\", \"bbox\": [227, 163, 248, 171]}, {\"cell\": \"0.760\", \"bbox\": [259, 163, 279, 171]}, {\"cell\": \"0.579–0.998\", \"bbox\": [297, 163, 340, 171]}, {\"cell\": \"0.048\", \"bbox\": [356, 163, 376, 171]}, {\"cell\": \"0.968\", \"bbox\": [387, 163, 407, 171]}, {\"cell\": \"0.876–1.070\", \"bbox\": [425, 163, 468, 171]}, {\"cell\": \"0.527\", \"bbox\": [484, 163, 504, 171]}, {\"cell\": \"<i>KCNJ11</i>\", \"bbox\": [5, 172, 31, 181]}, {\"cell\": \"rs5219\", \"bbox\": [49, 172, 74, 180]}, {\"cell\": \"T\", \"bbox\": [106, 172, 112, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 172, 151, 180]}, {\"cell\": \"0.930–1.047\", \"bbox\": [169, 172, 211, 180]}, {\"cell\": \"0.671\", \"bbox\": [227, 172, 248, 180]}, {\"cell\": \"0.979\", \"bbox\": [259, 172, 279, 180]}, {\"cell\": \"0.901–1.063\", \"bbox\": [297, 172, 340, 180]}, {\"cell\": \"0.607\", \"bbox\": [356, 172, 376, 180]}, {\"cell\": \"0.993\", \"bbox\": [387, 172, 407, 180]}, {\"cell\": \"0.882–1.118\", \"bbox\": [425, 172, 468, 180]}, {\"cell\": \"0.912\", \"bbox\": [484, 172, 504, 180]}, {\"cell\": \"<i>MTNR1B</i>\", \"bbox\": [5, 181, 33, 190]}, {\"cell\": \"rs10830963\", \"bbox\": [49, 181, 90, 189]}, {\"cell\": \"G\", \"bbox\": [106, 181, 113, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 181, 151, 189]}, {\"cell\": \"0.942–1.068\", \"bbox\": [169, 181, 211, 189]}, {\"cell\": \"0.932\", \"bbox\": [227, 181, 248, 189]}, {\"cell\": \"1.002\", \"bbox\": [259, 181, 279, 189]}, {\"cell\": \"0.924–1.087\", \"bbox\": [297, 181, 340, 189]}, {\"cell\": \"0.964\", \"bbox\": [356, 181, 376, 189]}, {\"cell\": \"1.009\", \"bbox\": [387, 181, 407, 189]}, {\"cell\": \"0.874–1.164\", \"bbox\": [425, 181, 468, 189]}, {\"cell\": \"0.908\", \"bbox\": [484, 181, 504, 189]}, {\"cell\": \"<i>HNF1B</i>\", \"bbox\": [5, 190, 28, 199]}, {\"cell\": \"rs4430796\", \"bbox\": [49, 190, 86, 198]}, {\"cell\": \"G\", \"bbox\": [106, 190, 113, 198]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 190, 151, 198]}, {\"cell\": \"0.914–1.023\", \"bbox\": [169, 190, 211, 198]}, {\"cell\": \"0.246\", \"bbox\": [227, 190, 248, 198]}, {\"cell\": \"0.978\", \"bbox\": [259, 190, 279, 198]}, {\"cell\": \"0.895–1.069\", \"bbox\": [297, 190, 340, 198]}, {\"cell\": \"0.623\", \"bbox\": [356, 190, 376, 198]}, {\"cell\": \"0.932\", \"bbox\": [387, 190, 407, 198]}, {\"cell\": \"0.846–1.026\", \"bbox\": [425, 190, 468, 198]}, {\"cell\": \"0.151\", \"bbox\": [484, 190, 504, 198]}, {\"cell\": \"<i>BCL2</i>\", \"bbox\": [5, 199, 22, 208]}, {\"cell\": \"Rs12454712\", \"bbox\": [49, 199, 92, 207]}, {\"cell\": \"T\", \"bbox\": [106, 199, 112, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 199, 151, 207]}, {\"cell\": \"0.956–1.074\", \"bbox\": [169, 199, 211, 207]}, {\"cell\": \"0.656\", \"bbox\": [227, 199, 248, 207]}, {\"cell\": \"0.976\", \"bbox\": [259, 199, 279, 207]}, {\"cell\": \"0.873–1.090\", \"bbox\": [297, 199, 340, 207]}, {\"cell\": \"0.664\", \"bbox\": [356, 199, 376, 207]}, {\"cell\": \"1.040\", \"bbox\": [387, 199, 407, 207]}, {\"cell\": \"0.959–1.129\", \"bbox\": [425, 199, 468, 207]}, {\"cell\": \"0.342\", \"bbox\": [484, 199, 504, 207]}, {\"cell\": \"<i>GATAD2A</i>\", \"bbox\": [5, 208, 38, 216]}, {\"cell\": \"rs16996148\", \"bbox\": [49, 208, 90, 216]}, {\"cell\": \"T\", \"bbox\": [106, 208, 112, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 208, 151, 216]}, {\"cell\": \"0.862–1.054\", \"bbox\": [169, 208, 211, 216]}, {\"cell\": \"0.350\", \"bbox\": [227, 208, 248, 216]}, {\"cell\": \"0.958\", \"bbox\": [259, 208, 279, 216]}, {\"cell\": \"0.859–1.069\", \"bbox\": [297, 208, 340, 216]}, {\"cell\": \"0.444\", \"bbox\": [356, 208, 376, 216]}, {\"cell\": \"0.812\", \"bbox\": [387, 208, 407, 216]}, {\"cell\": \"0.528–1.250\", \"bbox\": [425, 208, 468, 216]}, {\"cell\": \"0.344\", \"bbox\": [484, 208, 504, 216]}, {\"cell\": \"<i>GIPR</i>\", \"bbox\": [5, 217, 21, 225]}, {\"cell\": \"rs8108269\", \"bbox\": [49, 217, 86, 225]}, {\"cell\": \"G\", \"bbox\": [106, 217, 113, 225]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 217, 151, 225]}, {\"cell\": \"0.974–1.096\", \"bbox\": [169, 217, 211, 225]}, {\"cell\": \"0.281\", \"bbox\": [227, 217, 248, 225]}, {\"cell\": \"1.014\", \"bbox\": [259, 217, 279, 225]}, {\"cell\": \"0.936–1.098\", \"bbox\": [297, 217, 340, 225]}, {\"cell\": \"0.735\", \"bbox\": [356, 217, 376, 225]}, {\"cell\": \"1.113\", \"bbox\": [387, 217, 407, 225]}, {\"cell\": \"0.986–1.256\", \"bbox\": [425, 217, 468, 225]}, {\"cell\": \"0.083\", \"bbox\": [484, 217, 504, 225]}, {\"cell\": \"<i>HNF4A</i>\", \"bbox\": [5, 226, 29, 234]}, {\"cell\": \"rs1884614\", \"bbox\": [49, 226, 86, 234]}, {\"cell\": \"T\", \"bbox\": [106, 226, 112, 234]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 226, 151, 234]}, {\"cell\": \"0.977–1.112\", \"bbox\": [169, 226, 211, 234]}, {\"cell\": \"0.211\", \"bbox\": [227, 226, 248, 234]}, {\"cell\": \"1.054\", \"bbox\": [259, 226, 279, 234]}, {\"cell\": \"0.971–1.145\", \"bbox\": [297, 226, 340, 234]}, {\"cell\": \"0.211\", \"bbox\": [356, 226, 376, 234]}, {\"cell\": \"1.050\", \"bbox\": [387, 226, 407, 234]}, {\"cell\": \"0.901–1.224\", \"bbox\": [425, 226, 468, 234]}, {\"cell\": \"0.531\", \"bbox\": [484, 226, 504, 234]}, {\"cell\": \"Gene score\", \"bbox\": [5, 235, 45, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [131, 235, 151, 243]}, {\"cell\": \"0.987–1.016\", \"bbox\": [169, 235, 211, 243]}, {\"cell\": \"0.833\", \"bbox\": [227, 235, 248, 243]}, {\"cell\": \"—\", \"bbox\": [264, 238, 274, 243]}, {\"cell\": \"—\", \"bbox\": [313, 238, 323, 243]}, {\"cell\": \"—\", \"bbox\": [361, 238, 371, 243]}, {\"cell\": \"—\", \"bbox\": [392, 238, 402, 243]}, {\"cell\": \"—\", \"bbox\": [441, 238, 451, 243]}, {\"cell\": \"—\", \"bbox\": [489, 238, 499, 243]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4564566_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}903{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>ActiGraph activity levels and measurements</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>ActiGraph-min (moderate min)</b></td><td><b>ActiGraph-min (vigorous min)</b></td><td><b>ActiGraph-min</b></td><td><b>ActiGraph-count</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>Moderate</b></td><td><b>Vigorous</b></td><td><b>Total MET</b></td><td><b>Total MET</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Male</td><td>0.10*</td><td>0.23***</td><td>0.14***</td><td>0.18***</td></tr><tr><td>[EMPTY_CELL]</td><td>Female</td><td>0.09*</td><td>0.09*</td><td>0.09*</td><td>0.15***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>≤29</td><td>0.05</td><td>0.21***</td><td>0.06</td><td>0.04</td></tr><tr><td>[EMPTY_CELL]</td><td>30-49</td><td>0.09*</td><td>0.12**</td><td>0.12**</td><td>0.19***</td></tr><tr><td>[EMPTY_CELL]</td><td>≥ 50</td><td>0.12*</td><td>0.14**</td><td>0.15**</td><td>0.25***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes - high PD</td><td>0.19*</td><td>0.25**</td><td>0.18*</td><td>0.16</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes - low PD</td><td>0.10*</td><td>0.10**</td><td>0.12**</td><td>0.20***</td></tr><tr><td>[EMPTY_CELL]</td><td>Not full-time</td><td>0.06</td><td>0.21***</td><td>0.07</td><td>0.08</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>0.03</td><td>0.17**</td><td>0.09</td><td>0.08</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>0.11***</td><td>0.17***</td><td>0.12***</td><td>0.18***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Overweight (≥ 25)</td><td>0.10</td><td>0.22***</td><td>0.14**</td><td>0.21***</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal (< 25)</td><td>0.09**</td><td>0.14***</td><td>0.10**</td><td>0.14***</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Overweight (≥ 10)</td><td>0.18***</td><td>0.23***</td><td>0.24***</td><td>0.31***</td></tr><tr><td>[EMPTY_CELL]</td><td>Normal (< 10)</td><td>0.08*</td><td>0.10**</td><td>0.09*</td><td>0.14***</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ActiGraph activity levels and measurements</b>\", \"bbox\": [239, 4, 394, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>ActiGraph-min (moderate min)</b>\", \"bbox\": [148, 17, 257, 27]}, {\"cell\": \"<b>ActiGraph-min (vigorous min)</b>\", \"bbox\": [260, 17, 366, 27]}, {\"cell\": \"<b>ActiGraph-min</b>\", \"bbox\": [370, 17, 422, 27]}, {\"cell\": \"<b>ActiGraph-count</b>\", \"bbox\": [426, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 143, 49]}, {\"cell\": \"<b>Moderate</b>\", \"bbox\": [185, 30, 220, 40]}, {\"cell\": \"<b>Vigorous</b>\", \"bbox\": [297, 30, 330, 40]}, {\"cell\": \"<b>Total MET</b>\", \"bbox\": [377, 30, 414, 40]}, {\"cell\": \"<b>Total MET</b>\", \"bbox\": [437, 30, 473, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [29, 53, 41, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [100, 64, 117, 74]}, {\"cell\": \"0.10*\", \"bbox\": [193, 64, 211, 74]}, {\"cell\": \"0.23***\", \"bbox\": [301, 64, 325, 74]}, {\"cell\": \"0.14***\", \"bbox\": [384, 64, 408, 74]}, {\"cell\": \"0.18***\", \"bbox\": [443, 64, 467, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Female\", \"bbox\": [96, 76, 121, 86]}, {\"cell\": \"0.09*\", \"bbox\": [193, 76, 211, 86]}, {\"cell\": \"0.09*\", \"bbox\": [304, 76, 322, 86]}, {\"cell\": \"0.09*\", \"bbox\": [387, 76, 405, 86]}, {\"cell\": \"0.15***\", \"bbox\": [443, 76, 467, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 88, 52, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≤29\", \"bbox\": [102, 100, 116, 110]}, {\"cell\": \"0.05\", \"bbox\": [195, 100, 210, 110]}, {\"cell\": \"0.21***\", \"bbox\": [301, 100, 325, 110]}, {\"cell\": \"0.06\", \"bbox\": [388, 100, 403, 110]}, {\"cell\": \"0.04\", \"bbox\": [448, 100, 462, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"30-49\", \"bbox\": [99, 112, 119, 122]}, {\"cell\": \"0.09*\", \"bbox\": [193, 112, 211, 122]}, {\"cell\": \"0.12**\", \"bbox\": [303, 112, 324, 122]}, {\"cell\": \"0.12**\", \"bbox\": [385, 112, 406, 122]}, {\"cell\": \"0.19***\", \"bbox\": [443, 112, 467, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"≥ 50\", \"bbox\": [100, 124, 117, 134]}, {\"cell\": \"0.12*\", \"bbox\": [193, 124, 211, 134]}, {\"cell\": \"0.14**\", \"bbox\": [303, 124, 324, 134]}, {\"cell\": \"0.15**\", \"bbox\": [385, 124, 406, 134]}, {\"cell\": \"0.25***\", \"bbox\": [443, 124, 467, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 136, 62, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes - high PD\", \"bbox\": [86, 148, 132, 158]}, {\"cell\": \"0.19*\", \"bbox\": [193, 148, 211, 158]}, {\"cell\": \"0.25**\", \"bbox\": [303, 148, 324, 158]}, {\"cell\": \"0.18*\", \"bbox\": [387, 148, 405, 158]}, {\"cell\": \"0.16\", \"bbox\": [448, 148, 462, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes - low PD\", \"bbox\": [87, 160, 131, 170]}, {\"cell\": \"0.10*\", \"bbox\": [193, 160, 211, 170]}, {\"cell\": \"0.10**\", \"bbox\": [303, 160, 324, 170]}, {\"cell\": \"0.12**\", \"bbox\": [385, 160, 406, 170]}, {\"cell\": \"0.20***\", \"bbox\": [443, 160, 467, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Not full-time\", \"bbox\": [88, 172, 130, 182]}, {\"cell\": \"0.06\", \"bbox\": [195, 172, 210, 182]}, {\"cell\": \"0.21***\", \"bbox\": [301, 172, 325, 182]}, {\"cell\": \"0.07\", \"bbox\": [388, 172, 403, 182]}, {\"cell\": \"0.08\", \"bbox\": [448, 172, 462, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [5, 184, 65, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [102, 196, 115, 205]}, {\"cell\": \"0.03\", \"bbox\": [195, 196, 210, 205]}, {\"cell\": \"0.17**\", \"bbox\": [303, 196, 324, 205]}, {\"cell\": \"0.09\", \"bbox\": [388, 196, 403, 205]}, {\"cell\": \"0.08\", \"bbox\": [448, 196, 462, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [103, 208, 114, 217]}, {\"cell\": \"0.11***\", \"bbox\": [190, 208, 214, 217]}, {\"cell\": \"0.17***\", \"bbox\": [301, 208, 325, 217]}, {\"cell\": \"0.12***\", \"bbox\": [384, 208, 408, 217]}, {\"cell\": \"0.18***\", \"bbox\": [443, 208, 467, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [28, 220, 42, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overweight (≥ 25)\", \"bbox\": [78, 232, 139, 241]}, {\"cell\": \"0.10\", \"bbox\": [195, 232, 210, 241]}, {\"cell\": \"0.22***\", \"bbox\": [301, 232, 325, 241]}, {\"cell\": \"0.14**\", \"bbox\": [385, 232, 406, 241]}, {\"cell\": \"0.21***\", \"bbox\": [443, 232, 467, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal (< 25)\", \"bbox\": [85, 244, 132, 253]}, {\"cell\": \"0.09**\", \"bbox\": [192, 244, 213, 253]}, {\"cell\": \"0.14***\", \"bbox\": [301, 244, 325, 253]}, {\"cell\": \"0.10**\", \"bbox\": [385, 244, 406, 253]}, {\"cell\": \"0.14***\", \"bbox\": [443, 244, 467, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 256, 47, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Overweight (≥ 10)\", \"bbox\": [78, 268, 139, 277]}, {\"cell\": \"0.18***\", \"bbox\": [190, 268, 214, 277]}, {\"cell\": \"0.23***\", \"bbox\": [301, 268, 325, 277]}, {\"cell\": \"0.24***\", \"bbox\": [384, 268, 408, 277]}, {\"cell\": \"0.31***\", \"bbox\": [443, 268, 467, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Normal (< 10)\", \"bbox\": [85, 280, 132, 289]}, {\"cell\": \"0.08*\", \"bbox\": [193, 280, 211, 289]}, {\"cell\": \"0.10**\", \"bbox\": [303, 280, 324, 289]}, {\"cell\": \"0.09*\", \"bbox\": [387, 280, 405, 289]}, {\"cell\": \"0.14***\", \"bbox\": [443, 280, 467, 289]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3157408_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}904{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\"><b>Variable</b></td><td colspan=\\\"4\\\"><b>NHE1 expression</b></td><td rowspan=\\\"3\\\"><b><i>p</i> value</b></td></tr><tr><td colspan=\\\"2\\\"><b>low group(<i>n</i> = 30)</b></td><td colspan=\\\"2\\\"><b>high group(<i>n</i> = 31)</b></td></tr><tr><td><b><i>n</i></b></td><td><b>(%)</b></td><td><b><i>n</i></b></td><td><b>(%)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>25</td><td>(83.3)</td><td>27</td><td>(87.1)</td><td>0.6784</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>(16.7)</td><td>4</td><td>(12.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>19</td><td>(63.3)</td><td>18</td><td>(58.1)</td><td>0.6735</td></tr><tr><td>[EMPTY_CELL]</td><td>11</td><td>(36.7)</td><td>13</td><td>(41.9)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>(13.3)</td><td>7</td><td>(22.6)</td><td>0.6372</td></tr><tr><td>[EMPTY_CELL]</td><td>17</td><td>(56.7)</td><td>16</td><td>(51.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9</td><td>(30.0)</td><td>8</td><td>(25.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>18</td><td>(60.0)</td><td>26</td><td>(83.9)</td><td>0.0356</td></tr><tr><td>[EMPTY_CELL]</td><td>12</td><td>(40.0)</td><td>5</td><td>(16.1)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>16</td><td>(53.3)</td><td>12</td><td>(38.7)</td><td>0.2510</td></tr><tr><td>[EMPTY_CELL]</td><td>14</td><td>(46.7)</td><td>19</td><td>(61.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>17</td><td>(56.7)</td><td>19</td><td>(61.3)</td><td>0.7135</td></tr><tr><td>[EMPTY_CELL]</td><td>13</td><td>(43.3)</td><td>12</td><td>(38.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8</td><td>(27.6)</td><td>3</td><td>(10.0)</td><td>0.0786</td></tr><tr><td>[EMPTY_CELL]</td><td>21</td><td>(72.4)</td><td>27</td><td>(90.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>13</td><td>(43.3)</td><td>14</td><td>(45.2)</td><td>0.8857</td></tr><tr><td>[EMPTY_CELL]</td><td>17</td><td>(56.7)</td><td>17</td><td>(54.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>13</td><td>(43.3)</td><td>14</td><td>(45.2)</td><td>0.8857</td></tr><tr><td>[EMPTY_CELL]</td><td>17</td><td>(56.7)</td><td>17</td><td>(54.8)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [78, 16, 117, 31]}, {\"cell\": \"<b>NHE1 expression</b>\", \"bbox\": [278, 5, 354, 16]}, {\"cell\": \"<b><i>p</i> value</b>\", \"bbox\": [452, 19, 484, 30]}, {\"cell\": \"<b>low group(<i>n</i> = 30)</b>\", \"bbox\": [215, 20, 295, 30]}, {\"cell\": \"<b>high group(<i>n</i> = 31)</b>\", \"bbox\": [334, 20, 419, 30]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [220, 35, 228, 45]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [276, 34, 294, 45]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [342, 35, 350, 45]}, {\"cell\": \"<b>(%)</b>\", \"bbox\": [398, 34, 416, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 49, 36, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 64, 47, 75]}, {\"cell\": \"25\", \"bbox\": [218, 64, 230, 75]}, {\"cell\": \"(83.3)\", \"bbox\": [272, 64, 298, 75]}, {\"cell\": \"27\", \"bbox\": [340, 64, 352, 75]}, {\"cell\": \"(87.1)\", \"bbox\": [394, 64, 420, 75]}, {\"cell\": \"0.6784\", \"bbox\": [453, 64, 483, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 79, 56, 90]}, {\"cell\": \"5\", \"bbox\": [221, 79, 228, 90]}, {\"cell\": \"(16.7)\", \"bbox\": [272, 79, 298, 90]}, {\"cell\": \"4\", \"bbox\": [343, 79, 350, 90]}, {\"cell\": \"(12.9)\", \"bbox\": [394, 79, 420, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 94, 23, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 109, 45, 120]}, {\"cell\": \"19\", \"bbox\": [218, 109, 230, 120]}, {\"cell\": \"(63.3)\", \"bbox\": [272, 109, 298, 120]}, {\"cell\": \"18\", \"bbox\": [340, 109, 352, 120]}, {\"cell\": \"(58.1)\", \"bbox\": [394, 109, 420, 120]}, {\"cell\": \"0.6735\", \"bbox\": [453, 109, 483, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 121, 44, 136]}, {\"cell\": \"11\", \"bbox\": [218, 124, 230, 135]}, {\"cell\": \"(36.7)\", \"bbox\": [272, 124, 298, 135]}, {\"cell\": \"13\", \"bbox\": [340, 124, 352, 135]}, {\"cell\": \"(41.9)\", \"bbox\": [394, 124, 420, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 139, 117, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 154, 36, 165]}, {\"cell\": \"4\", \"bbox\": [221, 154, 228, 165]}, {\"cell\": \"(13.3)\", \"bbox\": [272, 154, 298, 165]}, {\"cell\": \"7\", \"bbox\": [343, 154, 350, 165]}, {\"cell\": \"(22.6)\", \"bbox\": [394, 154, 420, 165]}, {\"cell\": \"0.6372\", \"bbox\": [453, 154, 483, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 169, 38, 180]}, {\"cell\": \"17\", \"bbox\": [218, 169, 230, 180]}, {\"cell\": \"(56.7)\", \"bbox\": [272, 169, 298, 180]}, {\"cell\": \"16\", \"bbox\": [340, 169, 352, 180]}, {\"cell\": \"(51.6)\", \"bbox\": [394, 169, 420, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 183, 35, 195]}, {\"cell\": \"9\", \"bbox\": [221, 183, 228, 195]}, {\"cell\": \"(30.0)\", \"bbox\": [272, 183, 298, 195]}, {\"cell\": \"8\", \"bbox\": [343, 183, 350, 195]}, {\"cell\": \"(25.8)\", \"bbox\": [394, 183, 420, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 198, 78, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 213, 171, 224]}, {\"cell\": \"18\", \"bbox\": [218, 213, 230, 224]}, {\"cell\": \"(60.0)\", \"bbox\": [272, 213, 298, 224]}, {\"cell\": \"26\", \"bbox\": [340, 213, 352, 224]}, {\"cell\": \"(83.9)\", \"bbox\": [394, 213, 420, 224]}, {\"cell\": \"0.0356\", \"bbox\": [453, 213, 483, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 228, 131, 239]}, {\"cell\": \"12\", \"bbox\": [218, 228, 230, 239]}, {\"cell\": \"(40.0)\", \"bbox\": [272, 228, 298, 239]}, {\"cell\": \"5\", \"bbox\": [343, 228, 350, 239]}, {\"cell\": \"(16.1)\", \"bbox\": [394, 228, 420, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 243, 86, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 258, 60, 269]}, {\"cell\": \"16\", \"bbox\": [218, 258, 230, 269]}, {\"cell\": \"(53.3)\", \"bbox\": [272, 258, 298, 269]}, {\"cell\": \"12\", \"bbox\": [340, 258, 352, 269]}, {\"cell\": \"(38.7)\", \"bbox\": [394, 258, 420, 269]}, {\"cell\": \"0.2510\", \"bbox\": [453, 258, 483, 269]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 273, 58, 284]}, {\"cell\": \"14\", \"bbox\": [218, 273, 230, 284]}, {\"cell\": \"(46.7)\", \"bbox\": [272, 273, 298, 284]}, {\"cell\": \"19\", \"bbox\": [340, 273, 352, 284]}, {\"cell\": \"(61.3)\", \"bbox\": [394, 273, 420, 284]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 288, 73, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 303, 60, 314]}, {\"cell\": \"17\", \"bbox\": [218, 303, 230, 314]}, {\"cell\": \"(56.7)\", \"bbox\": [272, 303, 298, 314]}, {\"cell\": \"19\", \"bbox\": [340, 303, 352, 314]}, {\"cell\": \"(61.3)\", \"bbox\": [394, 303, 420, 314]}, {\"cell\": \"0.7135\", \"bbox\": [453, 303, 483, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 318, 58, 329]}, {\"cell\": \"13\", \"bbox\": [218, 318, 230, 329]}, {\"cell\": \"(43.3)\", \"bbox\": [272, 318, 298, 329]}, {\"cell\": \"12\", \"bbox\": [340, 318, 352, 329]}, {\"cell\": \"(38.7)\", \"bbox\": [394, 318, 420, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 333, 23, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 348, 50, 359]}, {\"cell\": \"8\", \"bbox\": [221, 348, 228, 359]}, {\"cell\": \"(27.6)\", \"bbox\": [272, 348, 298, 359]}, {\"cell\": \"3\", \"bbox\": [343, 348, 350, 359]}, {\"cell\": \"(10.0)\", \"bbox\": [394, 348, 420, 359]}, {\"cell\": \"0.0786\", \"bbox\": [453, 348, 483, 359]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 363, 60, 374]}, {\"cell\": \"21\", \"bbox\": [218, 363, 230, 374]}, {\"cell\": \"(72.4)\", \"bbox\": [272, 363, 298, 374]}, {\"cell\": \"27\", \"bbox\": [340, 363, 352, 374]}, {\"cell\": \"(90.0)\", \"bbox\": [394, 363, 420, 374]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 378, 18, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 393, 43, 404]}, {\"cell\": \"13\", \"bbox\": [218, 393, 230, 404]}, {\"cell\": \"(43.3)\", \"bbox\": [272, 393, 298, 404]}, {\"cell\": \"14\", \"bbox\": [340, 393, 352, 404]}, {\"cell\": \"(45.2)\", \"bbox\": [394, 393, 420, 404]}, {\"cell\": \"0.8857\", \"bbox\": [453, 393, 483, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 407, 53, 419]}, {\"cell\": \"17\", \"bbox\": [218, 407, 230, 419]}, {\"cell\": \"(56.7)\", \"bbox\": [272, 407, 298, 419]}, {\"cell\": \"17\", \"bbox\": [340, 407, 352, 419]}, {\"cell\": \"(54.8)\", \"bbox\": [394, 407, 420, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [4, 422, 19, 434]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 437, 44, 448]}, {\"cell\": \"13\", \"bbox\": [218, 437, 230, 448]}, {\"cell\": \"(43.3)\", \"bbox\": [272, 437, 298, 448]}, {\"cell\": \"14\", \"bbox\": [340, 437, 352, 448]}, {\"cell\": \"(45.2)\", \"bbox\": [394, 437, 420, 448]}, {\"cell\": \"0.8857\", \"bbox\": [453, 437, 483, 448]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 452, 54, 463]}, {\"cell\": \"17\", \"bbox\": [218, 452, 230, 463]}, {\"cell\": \"(56.7)\", \"bbox\": [272, 452, 298, 463]}, {\"cell\": \"17\", \"bbox\": [340, 452, 352, 463]}, {\"cell\": \"(54.8)\", \"bbox\": [394, 452, 420, 463]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5356793_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}905{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristics</b></td><td colspan=\\\"2\\\"><b>Full sample</b></td><td colspan=\\\"2\\\"><b>Rural</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>(N = 1 410)</b></td><td colspan=\\\"2\\\"><b>(N = 749)</b></td></tr></thead><tbody><tr><td><i>Child’s demographics</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Male, n (%)</td><td>[EMPTY_CELL]</td><td>(47.8)</td><td>365</td><td>(48.7)</td></tr><tr><td>Age in months, mean (SD)</td><td>[EMPTY_CELL]</td><td>(4.11)</td><td>75.3</td><td>(4.27)</td></tr><tr><td>Father dead, n (%)</td><td>[EMPTY_CELL]</td><td>(7.02)</td><td>42</td><td>(5.61)</td></tr><tr><td>Mother dead, n (%)</td><td>[EMPTY_CELL]</td><td>(1.91)</td><td>10</td><td>(1.34)</td></tr><tr><td>Father and mother dead, n (%)</td><td>[EMPTY_CELL]</td><td>(0.35)</td><td>1</td><td>(0.13)</td></tr><tr><td><i>Household-level variables, mean (SD)</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Highest educational attainment (years)</td><td>[EMPTY_CELL]</td><td>(3.62)</td><td>7.70</td><td>(3.62)</td></tr><tr><td>Household size</td><td>[EMPTY_CELL]</td><td>(1.93)</td><td>5.60</td><td>(1.91)</td></tr><tr><td>Wealth quintile</td><td>[EMPTY_CELL]</td><td>(1.41)</td><td>2.23</td><td>(1.25)</td></tr><tr><td>Number of younger siblings in household</td><td>[EMPTY_CELL]</td><td>(0.81)</td><td>0.70</td><td>(0.84)</td></tr><tr><td>Number of older siblings in household</td><td>[EMPTY_CELL]</td><td>(1.52)</td><td>2.07</td><td>(1.51)</td></tr><tr><td><i>Cluster-level variables, mean (SD)</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Parasitemia (fraction of MIS 2006 slides positive)</td><td>[EMPTY_CELL]</td><td>(0.20)</td><td>0.22</td><td>(0.22)</td></tr><tr><td>Fraction of parents deceased</td><td>[EMPTY_CELL]</td><td>(0.09)</td><td>0.07</td><td>(0.07)</td></tr><tr><td>Average educational attainment</td><td>[EMPTY_CELL]</td><td>(2.33)</td><td>7.70</td><td>(2.25)</td></tr><tr><td>Average wealth quintile</td><td>[EMPTY_CELL]</td><td>(1.04)</td><td>2.23</td><td>(0.62)</td></tr><tr><td><i>Outcomes</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Peabody Picture Vocabulary Test (z-score), mean (SD)</td><td>[EMPTY_CELL]</td><td>(1.01)</td><td>−0.04</td><td>(1.15)</td></tr><tr><td>Task Orientation (z-score), mean (SD)</td><td>[EMPTY_CELL]</td><td>(1.00)</td><td>−0.18</td><td>(1.06)</td></tr><tr><td>Tactile Pattern Recognition (z-score), mean (SD)</td><td>[EMPTY_CELL]</td><td>(1.00)</td><td>0.06</td><td>(1.03)</td></tr><tr><td>Socio-emotional Development (principal component z-score), mean (SD)</td><td>[EMPTY_CELL]</td><td>(1.00)</td><td>−0.03</td><td>(1.02)</td></tr><tr><td>Fine Motor Skills (z-score), mean (SD)</td><td>[EMPTY_CELL]</td><td>(1.01)</td><td>−0.20</td><td>(1.07)</td></tr><tr><td>Weight in kilograms, mean (SD)</td><td>[EMPTY_CELL]</td><td>(9.06)</td><td>22.45</td><td>(11.52)</td></tr><tr><td>Height in centimeters, mean (SD)</td><td>[EMPTY_CELL]</td><td>(8.12)</td><td>116.70</td><td>(7.14)</td></tr><tr><td>Stunted, n (%)</td><td>[EMPTY_CELL]</td><td>(0.17)</td><td>88</td><td>(0.17)</td></tr><tr><td>Underweight, n (%)</td><td>[EMPTY_CELL]</td><td>(0.12)</td><td>54</td><td>(0.10)</td></tr><tr><td>Body Mass Index, mean (SD)</td><td>[EMPTY_CELL]</td><td>(3.11)</td><td>15.36</td><td>(3.83)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristics</b>\", \"bbox\": [1, 4, 53, 13]}, {\"cell\": \"<b>Full sample</b>\", \"bbox\": [296, 4, 338, 13]}, {\"cell\": \"<b>Rural</b>\", \"bbox\": [432, 4, 451, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>(N = 1 410)</b>\", \"bbox\": [298, 17, 337, 26]}, {\"cell\": \"<b>(N = 749)</b>\", \"bbox\": [425, 17, 458, 26]}, {\"cell\": \"<i>Child’s demographics</i>\", \"bbox\": [0, 30, 67, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male, n (%)\", \"bbox\": [0, 44, 38, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 44, 294, 54]}, {\"cell\": \"(47.8)\", \"bbox\": [339, 44, 358, 54]}, {\"cell\": \"365\", \"bbox\": [403, 44, 417, 54]}, {\"cell\": \"(48.7)\", \"bbox\": [464, 44, 482, 54]}, {\"cell\": \"Age in months, mean (SD)\", \"bbox\": [0, 58, 88, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 58, 295, 68]}, {\"cell\": \"(4.11)\", \"bbox\": [339, 58, 358, 68]}, {\"cell\": \"75.3\", \"bbox\": [403, 58, 417, 68]}, {\"cell\": \"(4.27)\", \"bbox\": [464, 58, 482, 68]}, {\"cell\": \"Father dead, n (%)\", \"bbox\": [0, 72, 61, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 72, 292, 82]}, {\"cell\": \"(7.02)\", \"bbox\": [339, 72, 358, 82]}, {\"cell\": \"42\", \"bbox\": [405, 72, 415, 82]}, {\"cell\": \"(5.61)\", \"bbox\": [464, 72, 482, 82]}, {\"cell\": \"Mother dead, n (%)\", \"bbox\": [0, 86, 64, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [283, 86, 292, 96]}, {\"cell\": \"(1.91)\", \"bbox\": [339, 86, 358, 96]}, {\"cell\": \"10\", \"bbox\": [405, 86, 415, 96]}, {\"cell\": \"(1.34)\", \"bbox\": [464, 86, 482, 96]}, {\"cell\": \"Father and mother dead, n (%)\", \"bbox\": [0, 100, 102, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [285, 100, 290, 110]}, {\"cell\": \"(0.35)\", \"bbox\": [339, 100, 358, 110]}, {\"cell\": \"1\", \"bbox\": [407, 100, 413, 110]}, {\"cell\": \"(0.13)\", \"bbox\": [464, 100, 482, 110]}, {\"cell\": \"<i>Household-level variables, mean (SD)</i>\", \"bbox\": [0, 114, 116, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Highest educational attainment (years)\", \"bbox\": [0, 128, 126, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 128, 295, 138]}, {\"cell\": \"(3.62)\", \"bbox\": [339, 128, 358, 138]}, {\"cell\": \"7.70\", \"bbox\": [403, 128, 417, 138]}, {\"cell\": \"(3.62)\", \"bbox\": [464, 128, 482, 138]}, {\"cell\": \"Household size\", \"bbox\": [0, 142, 51, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 142, 295, 152]}, {\"cell\": \"(1.93)\", \"bbox\": [339, 142, 358, 152]}, {\"cell\": \"5.60\", \"bbox\": [403, 142, 417, 152]}, {\"cell\": \"(1.91)\", \"bbox\": [464, 142, 482, 152]}, {\"cell\": \"Wealth quintile\", \"bbox\": [0, 156, 51, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 156, 295, 166]}, {\"cell\": \"(1.41)\", \"bbox\": [339, 156, 358, 166]}, {\"cell\": \"2.23\", \"bbox\": [403, 156, 417, 166]}, {\"cell\": \"(1.25)\", \"bbox\": [464, 156, 482, 166]}, {\"cell\": \"Number of younger siblings in household\", \"bbox\": [0, 170, 137, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 170, 295, 180]}, {\"cell\": \"(0.81)\", \"bbox\": [339, 170, 358, 180]}, {\"cell\": \"0.70\", \"bbox\": [403, 170, 417, 180]}, {\"cell\": \"(0.84)\", \"bbox\": [464, 170, 482, 180]}, {\"cell\": \"Number of older siblings in household\", \"bbox\": [0, 184, 127, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 184, 295, 194]}, {\"cell\": \"(1.52)\", \"bbox\": [339, 184, 358, 194]}, {\"cell\": \"2.07\", \"bbox\": [403, 184, 417, 194]}, {\"cell\": \"(1.51)\", \"bbox\": [464, 184, 482, 194]}, {\"cell\": \"<i>Cluster-level variables, mean (SD)</i>\", \"bbox\": [0, 198, 104, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Parasitemia (fraction of MIS 2006 slides positive)\", \"bbox\": [0, 212, 156, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 212, 295, 222]}, {\"cell\": \"(0.20)\", \"bbox\": [339, 212, 358, 222]}, {\"cell\": \"0.22\", \"bbox\": [403, 212, 417, 222]}, {\"cell\": \"(0.22)\", \"bbox\": [464, 212, 482, 222]}, {\"cell\": \"Fraction of parents deceased\", \"bbox\": [0, 226, 95, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 226, 295, 236]}, {\"cell\": \"(0.09)\", \"bbox\": [339, 226, 358, 236]}, {\"cell\": \"0.07\", \"bbox\": [403, 226, 417, 236]}, {\"cell\": \"(0.07)\", \"bbox\": [464, 226, 482, 236]}, {\"cell\": \"Average educational attainment\", \"bbox\": [0, 240, 105, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 240, 295, 250]}, {\"cell\": \"(2.33)\", \"bbox\": [339, 240, 358, 250]}, {\"cell\": \"7.70\", \"bbox\": [403, 240, 417, 250]}, {\"cell\": \"(2.25)\", \"bbox\": [464, 240, 482, 250]}, {\"cell\": \"Average wealth quintile\", \"bbox\": [0, 254, 79, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 254, 295, 264]}, {\"cell\": \"(1.04)\", \"bbox\": [339, 254, 358, 264]}, {\"cell\": \"2.23\", \"bbox\": [403, 254, 417, 264]}, {\"cell\": \"(0.62)\", \"bbox\": [464, 254, 482, 264]}, {\"cell\": \"<i>Outcomes</i>\", \"bbox\": [0, 268, 34, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Peabody Picture Vocabulary Test (z-score), mean (SD)\", \"bbox\": [0, 282, 173, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 282, 297, 292]}, {\"cell\": \"(1.01)\", \"bbox\": [339, 282, 358, 292]}, {\"cell\": \"−0.04\", \"bbox\": [400, 282, 420, 292]}, {\"cell\": \"(1.15)\", \"bbox\": [464, 282, 482, 292]}, {\"cell\": \"Task Orientation (z-score), mean (SD)\", \"bbox\": [1, 296, 120, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 296, 295, 306]}, {\"cell\": \"(1.00)\", \"bbox\": [339, 296, 358, 306]}, {\"cell\": \"−0.18\", \"bbox\": [400, 296, 420, 306]}, {\"cell\": \"(1.06)\", \"bbox\": [464, 296, 482, 306]}, {\"cell\": \"Tactile Pattern Recognition (z-score), mean (SD)\", \"bbox\": [1, 310, 155, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 310, 295, 320]}, {\"cell\": \"(1.00)\", \"bbox\": [339, 310, 358, 320]}, {\"cell\": \"0.06\", \"bbox\": [403, 310, 417, 320]}, {\"cell\": \"(1.03)\", \"bbox\": [464, 310, 482, 320]}, {\"cell\": \"Socio-emotional Development (principal component z-score), mean (SD)\", \"bbox\": [1, 324, 236, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 324, 297, 334]}, {\"cell\": \"(1.00)\", \"bbox\": [339, 324, 358, 334]}, {\"cell\": \"−0.03\", \"bbox\": [400, 324, 420, 334]}, {\"cell\": \"(1.02)\", \"bbox\": [464, 324, 482, 334]}, {\"cell\": \"Fine Motor Skills (z-score), mean (SD)\", \"bbox\": [1, 338, 121, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 338, 297, 348]}, {\"cell\": \"(1.01)\", \"bbox\": [339, 338, 358, 348]}, {\"cell\": \"−0.20\", \"bbox\": [400, 338, 420, 348]}, {\"cell\": \"(1.07)\", \"bbox\": [464, 338, 482, 348]}, {\"cell\": \"Weight in kilograms, mean (SD)\", \"bbox\": [1, 352, 104, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 352, 297, 362]}, {\"cell\": \"(9.06)\", \"bbox\": [339, 352, 358, 362]}, {\"cell\": \"22.45\", \"bbox\": [401, 352, 419, 362]}, {\"cell\": \"(11.52)\", \"bbox\": [462, 352, 484, 362]}, {\"cell\": \"Height in centimeters, mean (SD)\", \"bbox\": [1, 366, 109, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [276, 366, 299, 376]}, {\"cell\": \"(8.12)\", \"bbox\": [339, 366, 358, 376]}, {\"cell\": \"116.70\", \"bbox\": [399, 366, 421, 376]}, {\"cell\": \"(7.14)\", \"bbox\": [464, 366, 482, 376]}, {\"cell\": \"Stunted, n (%)\", \"bbox\": [1, 380, 48, 390]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 380, 294, 390]}, {\"cell\": \"(0.17)\", \"bbox\": [339, 380, 358, 390]}, {\"cell\": \"88\", \"bbox\": [405, 380, 415, 390]}, {\"cell\": \"(0.17)\", \"bbox\": [464, 380, 482, 390]}, {\"cell\": \"Underweight, n (%)\", \"bbox\": [1, 394, 65, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [281, 394, 294, 404]}, {\"cell\": \"(0.12)\", \"bbox\": [339, 394, 358, 404]}, {\"cell\": \"54\", \"bbox\": [405, 394, 415, 404]}, {\"cell\": \"(0.10)\", \"bbox\": [464, 394, 482, 404]}, {\"cell\": \"Body Mass Index, mean (SD)\", \"bbox\": [1, 408, 94, 418]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 408, 297, 418]}, {\"cell\": \"(3.11)\", \"bbox\": [339, 408, 358, 418]}, {\"cell\": \"15.36\", \"bbox\": [401, 408, 419, 418]}, {\"cell\": \"(3.83)\", \"bbox\": [464, 408, 482, 418]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3546841_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}906{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>City-site name</b></td><td><b>Code</b></td><td><b>Label</b></td><td><b>Method of PM<sub>10</sub> analysis</b></td><td><b>Longitude (° ′ ′′ E)</b></td><td><b>Latitude (° ′ ′′ N)</b></td><td><b>Altitude (m a.s.l)</b></td></tr></thead><tbody><tr><td>Warszawa-Targówek</td><td>[EMPTY_CELL]</td><td>W-UB</td><td>(2)</td><td>21° 02′ 33′′</td><td>52° 17′ 36′′</td><td>85</td></tr><tr><td>Warszawa-Komunikacyjna</td><td>[EMPTY_CELL]</td><td>W-TR</td><td>(2)</td><td>21° 00′ 17′′</td><td>52° 13′ 00′′</td><td>103</td></tr><tr><td>Belsk IGPAN</td><td>[EMPTY_CELL]</td><td>W-RB</td><td>(2)</td><td>20° 47′ 30′′</td><td>51° 50′ 00′′</td><td>176</td></tr><tr><td>Kraków-Nowa Huta</td><td>[EMPTY_CELL]</td><td>C-UB</td><td>(3)</td><td>20° 03′ 07′′</td><td>50° 04′ 00′′</td><td>195</td></tr><tr><td>Kraków-Krasińskiego</td><td>[EMPTY_CELL]</td><td>C-TR</td><td>(3)</td><td>19° 55′ 20′′</td><td>50° 03′ 00′′</td><td>175</td></tr><tr><td>Zabrze-Skłodowskiej</td><td>[EMPTY_CELL]</td><td>Z-UB</td><td>(1)</td><td>18° 46′ 19′′</td><td>50° 19′ 12′′</td><td>255</td></tr><tr><td>Chorzów</td><td>[EMPTY_CELL]</td><td>Z-TR</td><td>(2)</td><td>18° 56′ 13′′</td><td>50° 15′ 00′′</td><td>285</td></tr><tr><td>Złoty Potok</td><td>[EMPTY_CELL]</td><td>Z-RB(C-RB)</td><td>(3)</td><td>19° 27′ 36′′</td><td>50° 42′ 36′′</td><td>291</td></tr><tr><td>Jelenia Góra-Cieplice</td><td>[EMPTY_CELL]</td><td>J-UB</td><td>(3)</td><td>15° 44′ 06′′</td><td>50° 51′ 36′′</td><td>341</td></tr><tr><td>Czerniawa</td><td>[EMPTY_CELL]</td><td>J-RB</td><td>(3)</td><td>15° 18′ 51′′</td><td>50° 54′ 36′′</td><td>645</td></tr><tr><td>Diabla Góra</td><td>[EMPTY_CELL]</td><td>–</td><td>(1)</td><td>22° 04′ 01′′</td><td>54° 08′ 00′′</td><td>157</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>City-site name</b>\", \"bbox\": [1, 8, 51, 18]}, {\"cell\": \"<b>Code</b>\", \"bbox\": [104, 8, 124, 18]}, {\"cell\": \"<b>Label</b>\", \"bbox\": [152, 8, 172, 18]}, {\"cell\": \"<b>Method of PM<sub>10</sub> analysis</b>\", \"bbox\": [191, 8, 277, 18]}, {\"cell\": \"<b>Longitude (° ′ ′′ E)</b>\", \"bbox\": [290, 8, 354, 18]}, {\"cell\": \"<b>Latitude (° ′ ′′ N)</b>\", \"bbox\": [367, 8, 425, 18]}, {\"cell\": \"<b>Altitude (m a.s.l)</b>\", \"bbox\": [438, 8, 496, 18]}, {\"cell\": \"Warszawa-Targówek\", \"bbox\": [1, 28, 71, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 28, 138, 38]}, {\"cell\": \"W-UB\", \"bbox\": [152, 28, 175, 38]}, {\"cell\": \"(2)\", \"bbox\": [191, 28, 203, 38]}, {\"cell\": \"21° 02′ 33′′\", \"bbox\": [290, 28, 330, 38]}, {\"cell\": \"52° 17′ 36′′\", \"bbox\": [367, 28, 407, 38]}, {\"cell\": \"85\", \"bbox\": [438, 28, 448, 38]}, {\"cell\": \"Warszawa-Komunikacyjna\", \"bbox\": [1, 41, 91, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 41, 138, 51]}, {\"cell\": \"W-TR\", \"bbox\": [152, 41, 174, 51]}, {\"cell\": \"(2)\", \"bbox\": [191, 41, 203, 51]}, {\"cell\": \"21° 00′ 17′′\", \"bbox\": [290, 41, 330, 51]}, {\"cell\": \"52° 13′ 00′′\", \"bbox\": [367, 41, 407, 51]}, {\"cell\": \"103\", \"bbox\": [438, 41, 452, 51]}, {\"cell\": \"Belsk IGPAN\", \"bbox\": [1, 54, 48, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 54, 138, 64]}, {\"cell\": \"W-RB\", \"bbox\": [152, 54, 175, 64]}, {\"cell\": \"(2)\", \"bbox\": [191, 54, 203, 64]}, {\"cell\": \"20° 47′ 30′′\", \"bbox\": [290, 54, 330, 64]}, {\"cell\": \"51° 50′ 00′′\", \"bbox\": [367, 54, 407, 64]}, {\"cell\": \"176\", \"bbox\": [438, 54, 452, 64]}, {\"cell\": \"Kraków-Nowa Huta\", \"bbox\": [1, 67, 70, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 67, 138, 76]}, {\"cell\": \"C-UB\", \"bbox\": [151, 67, 173, 76]}, {\"cell\": \"(3)\", \"bbox\": [191, 67, 203, 76]}, {\"cell\": \"20° 03′ 07′′\", \"bbox\": [290, 67, 330, 76]}, {\"cell\": \"50° 04′ 00′′\", \"bbox\": [367, 67, 407, 76]}, {\"cell\": \"195\", \"bbox\": [438, 67, 452, 76]}, {\"cell\": \"Kraków-Krasińskiego\", \"bbox\": [1, 79, 75, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 79, 138, 89]}, {\"cell\": \"C-TR\", \"bbox\": [151, 79, 172, 89]}, {\"cell\": \"(3)\", \"bbox\": [191, 79, 203, 89]}, {\"cell\": \"19° 55′ 20′′\", \"bbox\": [290, 79, 330, 89]}, {\"cell\": \"50° 03′ 00′′\", \"bbox\": [367, 79, 407, 89]}, {\"cell\": \"175\", \"bbox\": [438, 79, 452, 89]}, {\"cell\": \"Zabrze-Skłodowskiej\", \"bbox\": [1, 92, 72, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 92, 138, 102]}, {\"cell\": \"Z-UB\", \"bbox\": [151, 92, 173, 102]}, {\"cell\": \"(1)\", \"bbox\": [191, 92, 203, 102]}, {\"cell\": \"18° 46′ 19′′\", \"bbox\": [290, 92, 330, 102]}, {\"cell\": \"50° 19′ 12′′\", \"bbox\": [367, 92, 407, 102]}, {\"cell\": \"255\", \"bbox\": [438, 92, 452, 102]}, {\"cell\": \"Chorzów\", \"bbox\": [1, 105, 33, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 105, 138, 114]}, {\"cell\": \"Z-TR\", \"bbox\": [151, 105, 172, 114]}, {\"cell\": \"(2)\", \"bbox\": [191, 105, 203, 114]}, {\"cell\": \"18° 56′ 13′′\", \"bbox\": [290, 105, 330, 114]}, {\"cell\": \"50° 15′ 00′′\", \"bbox\": [367, 105, 407, 114]}, {\"cell\": \"285\", \"bbox\": [438, 105, 452, 114]}, {\"cell\": \"Złoty Potok\", \"bbox\": [1, 117, 42, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 117, 138, 127]}, {\"cell\": \"Z-RB(C-RB)\", \"bbox\": [151, 117, 178, 137]}, {\"cell\": \"(3)\", \"bbox\": [191, 117, 203, 127]}, {\"cell\": \"19° 27′ 36′′\", \"bbox\": [290, 117, 330, 127]}, {\"cell\": \"50° 42′ 36′′\", \"bbox\": [367, 117, 407, 127]}, {\"cell\": \"291\", \"bbox\": [438, 117, 452, 127]}, {\"cell\": \"Jelenia Góra-Cieplice\", \"bbox\": [1, 137, 73, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 137, 138, 147]}, {\"cell\": \"J-UB\", \"bbox\": [151, 137, 171, 147]}, {\"cell\": \"(3)\", \"bbox\": [191, 137, 203, 147]}, {\"cell\": \"15° 44′ 06′′\", \"bbox\": [290, 137, 330, 147]}, {\"cell\": \"50° 51′ 36′′\", \"bbox\": [367, 137, 407, 147]}, {\"cell\": \"341\", \"bbox\": [438, 137, 452, 147]}, {\"cell\": \"Czerniawa\", \"bbox\": [1, 150, 38, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 150, 138, 160]}, {\"cell\": \"J-RB\", \"bbox\": [151, 150, 170, 160]}, {\"cell\": \"(3)\", \"bbox\": [191, 150, 203, 160]}, {\"cell\": \"15° 18′ 51′′\", \"bbox\": [290, 150, 330, 160]}, {\"cell\": \"50° 54′ 36′′\", \"bbox\": [367, 150, 407, 160]}, {\"cell\": \"645\", \"bbox\": [438, 150, 452, 160]}, {\"cell\": \"Diabla Góra\", \"bbox\": [1, 163, 43, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [104, 163, 138, 172]}, {\"cell\": \"–\", \"bbox\": [152, 163, 158, 171]}, {\"cell\": \"(1)\", \"bbox\": [191, 163, 203, 172]}, {\"cell\": \"22° 04′ 01′′\", \"bbox\": [290, 163, 330, 172]}, {\"cell\": \"54° 08′ 00′′\", \"bbox\": [367, 163, 407, 172]}, {\"cell\": \"157\", \"bbox\": [438, 163, 452, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4908165_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}907{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>MJNV strain</b></td><td><b>Trapping site</b></td><td><b>Trapping date</b></td><td colspan=\\\"2\\\"><b>GenBank accession no.</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>M segment</b></td><td><b>L segment</b></td></tr></thead><tbody><tr><td>04-3</td><td>Dagmar North 2-9/Paju, Gyeonggi</td><td>Mar 24, 2004</td><td>[EMPTY_CELL]</td><td>HQ201409*</td></tr><tr><td>04-39</td><td>LTA 130-1a/Yeoncheon, Gyeonggi</td><td>Dec 4, 2004</td><td>[EMPTY_CELL]</td><td>HQ201410*</td></tr><tr><td>04-55</td><td>FP131A-1a/Yeoncheon, Gyeonggi</td><td>Dec 7, 2004</td><td>[EMPTY_CELL]</td><td>EF641807†</td></tr><tr><td>05-8</td><td>MPRC-7a/Pocheon, Gyeonggi</td><td>Sep 10, 2005</td><td>[EMPTY_CELL]</td><td>HQ201411*</td></tr><tr><td>05-10</td><td>Dagmar North-7a/Paju, Gyeonggi</td><td>Sep 12, 2005</td><td>[EMPTY_CELL]</td><td>ND</td></tr><tr><td>05-11</td><td>Story Impact-11a/Paju, Gyeonggi</td><td>Sep 14, 2005</td><td>[EMPTY_CELL]</td><td>EF641806†</td></tr><tr><td>05-14</td><td>LTA 320/Yeoncheon, Gyeonggi</td><td>Nov 9, 2005</td><td>[EMPTY_CELL]</td><td>HQ201412*</td></tr><tr><td>08-29</td><td>CP Humphrey/Pyeongtaek, Gyeonggi</td><td>Apr 2, 2008</td><td>[EMPTY_CELL]</td><td>ND</td></tr><tr><td>09-21</td><td>Nightmare Range/Pocheon, Gyeonggi</td><td>Jun 24, 2009</td><td>[EMPTY_CELL]</td><td>ND</td></tr><tr><td>09-136</td><td>Nightmare Range/Pocheon, Gyeonggi</td><td>Oct 28, 2009</td><td>[EMPTY_CELL]</td><td>HQ201413*</td></tr><tr><td>09-3</td><td>Maji-ri/Paju, Gyeonggi</td><td>Apr 17, 2009</td><td>[EMPTY_CELL]</td><td>HQ201414*</td></tr><tr><td>10-8</td><td>Dragon Head/Paju, Gyeonggi</td><td>May 12, 2010</td><td>[EMPTY_CELL]</td><td>HQ201415*</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>MJNV strain</b>\", \"bbox\": [1, 4, 44, 13]}, {\"cell\": \"<b>Trapping site</b>\", \"bbox\": [82, 4, 130, 13]}, {\"cell\": \"<b>Trapping date</b>\", \"bbox\": [244, 4, 295, 13]}, {\"cell\": \"<b>GenBank accession no.</b>\", \"bbox\": [368, 4, 449, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>M segment</b>\", \"bbox\": [333, 17, 374, 27]}, {\"cell\": \"<b>L segment</b>\", \"bbox\": [412, 17, 450, 27]}, {\"cell\": \"04-3\", \"bbox\": [1, 30, 16, 40]}, {\"cell\": \"Dagmar North 2-9/Paju, Gyeonggi\", \"bbox\": [82, 30, 194, 40]}, {\"cell\": \"Mar 24, 2004\", \"bbox\": [244, 30, 287, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 30, 369, 40]}, {\"cell\": \"HQ201409*\", \"bbox\": [412, 30, 450, 40]}, {\"cell\": \"04-39\", \"bbox\": [1, 42, 20, 52]}, {\"cell\": \"LTA 130-1a/Yeoncheon, Gyeonggi\", \"bbox\": [82, 42, 193, 52]}, {\"cell\": \"Dec 4, 2004\", \"bbox\": [244, 42, 284, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 42, 369, 52]}, {\"cell\": \"HQ201410*\", \"bbox\": [412, 42, 450, 52]}, {\"cell\": \"04-55\", \"bbox\": [1, 54, 20, 64]}, {\"cell\": \"FP131A-1a/Yeoncheon, Gyeonggi\", \"bbox\": [82, 54, 191, 64]}, {\"cell\": \"Dec 7, 2004\", \"bbox\": [244, 54, 284, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 54, 369, 64]}, {\"cell\": \"EF641807†\", \"bbox\": [412, 54, 448, 64]}, {\"cell\": \"05-8\", \"bbox\": [1, 66, 16, 76]}, {\"cell\": \"MPRC-7a/Pocheon, Gyeonggi\", \"bbox\": [82, 66, 178, 76]}, {\"cell\": \"Sep 10, 2005\", \"bbox\": [244, 66, 287, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 66, 369, 76]}, {\"cell\": \"HQ201411*\", \"bbox\": [412, 66, 450, 76]}, {\"cell\": \"05-10\", \"bbox\": [1, 78, 20, 88]}, {\"cell\": \"Dagmar North-7a/Paju, Gyeonggi\", \"bbox\": [82, 78, 191, 88]}, {\"cell\": \"Sep 12, 2005\", \"bbox\": [244, 78, 287, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 78, 369, 88]}, {\"cell\": \"ND\", \"bbox\": [412, 78, 424, 88]}, {\"cell\": \"05-11\", \"bbox\": [1, 90, 20, 100]}, {\"cell\": \"Story Impact-11a/Paju, Gyeonggi\", \"bbox\": [82, 90, 189, 100]}, {\"cell\": \"Sep 14, 2005\", \"bbox\": [244, 90, 287, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 90, 369, 100]}, {\"cell\": \"EF641806†\", \"bbox\": [412, 90, 448, 100]}, {\"cell\": \"05-14\", \"bbox\": [0, 102, 20, 112]}, {\"cell\": \"LTA 320/Yeoncheon, Gyeonggi\", \"bbox\": [82, 102, 184, 112]}, {\"cell\": \"Nov 9, 2005\", \"bbox\": [244, 102, 284, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 102, 369, 112]}, {\"cell\": \"HQ201412*\", \"bbox\": [412, 102, 450, 112]}, {\"cell\": \"08-29\", \"bbox\": [0, 114, 20, 124]}, {\"cell\": \"CP Humphrey/Pyeongtaek, Gyeonggi\", \"bbox\": [82, 114, 204, 124]}, {\"cell\": \"Apr 2, 2008\", \"bbox\": [244, 114, 283, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 114, 371, 124]}, {\"cell\": \"ND\", \"bbox\": [412, 114, 424, 124]}, {\"cell\": \"09-21\", \"bbox\": [1, 126, 20, 136]}, {\"cell\": \"Nightmare Range/Pocheon, Gyeonggi\", \"bbox\": [82, 126, 206, 136]}, {\"cell\": \"Jun 24, 2009\", \"bbox\": [244, 126, 287, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 126, 371, 136]}, {\"cell\": \"ND\", \"bbox\": [412, 126, 424, 136]}, {\"cell\": \"09-136\", \"bbox\": [1, 138, 24, 147]}, {\"cell\": \"Nightmare Range/Pocheon, Gyeonggi\", \"bbox\": [82, 138, 206, 147]}, {\"cell\": \"Oct 28, 2009\", \"bbox\": [244, 138, 287, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 138, 371, 147]}, {\"cell\": \"HQ201413*\", \"bbox\": [412, 138, 450, 147]}, {\"cell\": \"09-3\", \"bbox\": [1, 150, 16, 159]}, {\"cell\": \"Maji-ri/Paju, Gyeonggi\", \"bbox\": [82, 150, 154, 159]}, {\"cell\": \"Apr 17, 2009\", \"bbox\": [244, 150, 287, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 150, 371, 159]}, {\"cell\": \"HQ201414*\", \"bbox\": [412, 150, 450, 159]}, {\"cell\": \"10-8\", \"bbox\": [1, 162, 16, 171]}, {\"cell\": \"Dragon Head/Paju, Gyeonggi\", \"bbox\": [82, 162, 178, 171]}, {\"cell\": \"May 12, 2010\", \"bbox\": [244, 162, 289, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [333, 162, 371, 171]}, {\"cell\": \"HQ201415*\", \"bbox\": [412, 162, 450, 171]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3046926_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}908{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Nutrient/Survey</b></td><td colspan=\\\"2\\\"><b>Milk</b></td><td colspan=\\\"2\\\"><b>100% Fruit Juice</b></td><td colspan=\\\"2\\\"><b>Fruit Drink</b></td><td colspan=\\\"2\\\"><b>Soft Drinks</b></td></tr><tr><td><b>Mean ± S.E.</b></td><td><b>% Daily Intake</b></td><td><b>Mean ± S.E.</b></td><td><b>% Daily Intake</b></td><td><b>Mean ± S.E.</b></td><td><b>% Daily Intake</b></td><td><b>Mean ± S.E.</b></td><td><b>% Daily Intake</b></td></tr></thead><tbody><tr><td>Calories (kcal/d)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>NHANES 1976-1980</td><td>281 ± 5</td><td>[EMPTY_CELL]</td><td>114 ± 3</td><td>8.4 <sup>a</sup></td><td>128 ± 4</td><td>9.0 <sup>a</sup></td><td>82 ± 3</td><td>5.9 <sup>a</sup></td></tr><tr><td>NHANES 1988-1994</td><td>234 ± 4</td><td>[EMPTY_CELL]</td><td>143 ± 6</td><td>10.6 <sup>b</sup></td><td>129 ± 4</td><td>8.7 <sup>a</sup></td><td>86 ± 3</td><td>5.9 <sup>a</sup></td></tr><tr><td>NHANES 2001-2006</td><td>279 ± 6</td><td>[EMPTY_CELL]</td><td>149 ± 5</td><td>9.8 <sup>c</sup></td><td>150 ± 5</td><td>9.4 <sup>b</sup></td><td>85 ± 4</td><td>5.3 <sup>a</sup></td></tr><tr><td>Total Fat (g/d)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>NHANES 1976-1980</td><td>13.5 ± 0.2</td><td>[EMPTY_CELL]</td><td>0.2 ± 0.0</td><td>0.6 <sup>a</sup></td><td>0.0 ± 0.0</td><td>0.0</td><td>0.0 ± 0.0</td><td>0.0</td></tr><tr><td>NHANES 1988-1994</td><td>10.9 ± 0.2</td><td>[EMPTY_CELL]</td><td>0.3 ± 0.0</td><td>0.8 <sup>b</sup></td><td>0.0 ± 0.0</td><td>0.1</td><td>0.0 ± 0.0</td><td>0.0</td></tr><tr><td>NHANES 2001-2006</td><td>12.0 ± 0.3</td><td>[EMPTY_CELL]</td><td>0.4 ± 0.0</td><td>0.7 <sup>ab</sup></td><td>0.1 ± 0.0</td><td>0.2</td><td>0.0 ± 0.0</td><td>0.0</td></tr><tr><td>Saturated Fat (g/d)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>NHANES 1976-1980</td><td>7.5 ± 0.1</td><td>[EMPTY_CELL]</td><td>0.0 ± 0.0</td><td>0</td><td>0.0 ± 0.0</td><td>0.0</td><td>0.0 ± 0.0</td><td>0.0</td></tr><tr><td>NHANES 1988-1994</td><td>6.8 ± 0.2</td><td>[EMPTY_CELL]</td><td>0.0 ± 0.0</td><td>0.3</td><td>0.0 ± 0.0</td><td>0.1</td><td>0.0 ± 0.0</td><td>0.0</td></tr><tr><td>NHANES 2001-2006</td><td>7.2 ± 0.2</td><td>[EMPTY_CELL]</td><td>0.1 ± 0.0</td><td>0.4</td><td>0.0 ± 0.0</td><td>0.0</td><td>0.0 ± 0.0</td><td>0.0</td></tr><tr><td>Protein (g/d)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>NHANES 1976-1980</td><td>16.3 ± 0.3</td><td>[EMPTY_CELL]</td><td>1.3 ± 0.1</td><td>2.9 <sup>a</sup></td><td>0.0 ± 0.0</td><td>0.0</td><td>0.0 ± 0.0</td><td>0.0</td></tr><tr><td>NHANES 1988-1994</td><td>13.8 ± 0.2</td><td>[EMPTY_CELL]</td><td>0.5 ± 0.0</td><td>1.2 <sup>b</sup></td><td>0.1 ± 0.0</td><td>0.2</td><td>0.0 ± 0.0</td><td>0.0</td></tr><tr><td>NHANES 2001-2006</td><td>15.9 ± 0.4</td><td>[EMPTY_CELL]</td><td>± 0.0</td><td>2.0 <sup>c</sup></td><td>0.1 ± 0.0</td><td>0.3</td><td>0.1 ± 0.0</td><td>0.2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Nutrient/Survey</b>\", \"bbox\": [1, 4, 57, 13]}, {\"cell\": \"<b>Milk</b>\", \"bbox\": [70, 4, 87, 13]}, {\"cell\": \"<b>100% Fruit Juice</b>\", \"bbox\": [175, 4, 237, 13]}, {\"cell\": \"<b>Fruit Drink</b>\", \"bbox\": [280, 4, 319, 13]}, {\"cell\": \"<b>Soft Drinks</b>\", \"bbox\": [385, 4, 425, 13]}, {\"cell\": \"<b>Mean ± S.E.</b>\", \"bbox\": [70, 17, 112, 27]}, {\"cell\": \"<b>% Daily Intake</b>\", \"bbox\": [118, 17, 170, 27]}, {\"cell\": \"<b>Mean ± S.E.</b>\", \"bbox\": [175, 17, 217, 27]}, {\"cell\": \"<b>% Daily Intake</b>\", \"bbox\": [222, 17, 275, 27]}, {\"cell\": \"<b>Mean ± S.E.</b>\", \"bbox\": [280, 17, 322, 27]}, {\"cell\": \"<b>% Daily Intake</b>\", \"bbox\": [327, 17, 380, 27]}, {\"cell\": \"<b>Mean ± S.E.</b>\", \"bbox\": [385, 17, 427, 27]}, {\"cell\": \"<b>% Daily Intake</b>\", \"bbox\": [432, 17, 484, 27]}, {\"cell\": \"Calories (kcal/d)\", \"bbox\": [1, 30, 53, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NHANES 1976-1980\", \"bbox\": [1, 43, 65, 53]}, {\"cell\": \"281 ± 5\", \"bbox\": [70, 43, 97, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 42, 137, 53]}, {\"cell\": \"114 ± 3\", \"bbox\": [175, 43, 202, 53]}, {\"cell\": \"8.4 <sup>a</sup>\", \"bbox\": [222, 42, 239, 53]}, {\"cell\": \"128 ± 4\", \"bbox\": [280, 43, 307, 53]}, {\"cell\": \"9.0 <sup>a</sup>\", \"bbox\": [327, 42, 343, 53]}, {\"cell\": \"82 ± 3\", \"bbox\": [385, 43, 408, 53]}, {\"cell\": \"5.9 <sup>a</sup>\", \"bbox\": [432, 42, 448, 53]}, {\"cell\": \"NHANES 1988-1994\", \"bbox\": [1, 57, 65, 66]}, {\"cell\": \"234 ± 4\", \"bbox\": [70, 57, 97, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 55, 138, 66]}, {\"cell\": \"143 ± 6\", \"bbox\": [175, 57, 202, 66]}, {\"cell\": \"10.6 <sup>b</sup>\", \"bbox\": [222, 55, 243, 66]}, {\"cell\": \"129 ± 4\", \"bbox\": [280, 57, 307, 66]}, {\"cell\": \"8.7 <sup>a</sup>\", \"bbox\": [327, 55, 343, 66]}, {\"cell\": \"86 ± 3\", \"bbox\": [385, 57, 408, 66]}, {\"cell\": \"5.9 <sup>a</sup>\", \"bbox\": [432, 55, 448, 66]}, {\"cell\": \"NHANES 2001-2006\", \"bbox\": [1, 70, 65, 79]}, {\"cell\": \"279 ± 6\", \"bbox\": [70, 70, 97, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 68, 137, 79]}, {\"cell\": \"149 ± 5\", \"bbox\": [175, 70, 202, 79]}, {\"cell\": \"9.8 <sup>c</sup>\", \"bbox\": [222, 68, 238, 79]}, {\"cell\": \"150 ± 5\", \"bbox\": [280, 70, 307, 79]}, {\"cell\": \"9.4 <sup>b</sup>\", \"bbox\": [327, 68, 344, 79]}, {\"cell\": \"85 ± 4\", \"bbox\": [385, 70, 408, 79]}, {\"cell\": \"5.3 <sup>a</sup>\", \"bbox\": [432, 68, 448, 79]}, {\"cell\": \"Total Fat (g/d)\", \"bbox\": [1, 83, 48, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NHANES 1976-1980\", \"bbox\": [1, 96, 65, 105]}, {\"cell\": \"13.5 ± 0.2\", \"bbox\": [70, 96, 103, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 94, 137, 105]}, {\"cell\": \"0.2 ± 0.0\", \"bbox\": [175, 96, 204, 105]}, {\"cell\": \"0.6 <sup>a</sup>\", \"bbox\": [222, 94, 239, 105]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 96, 309, 105]}, {\"cell\": \"0.0\", \"bbox\": [327, 96, 338, 105]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 96, 414, 105]}, {\"cell\": \"0.0\", \"bbox\": [432, 96, 443, 105]}, {\"cell\": \"NHANES 1988-1994\", \"bbox\": [1, 109, 65, 119]}, {\"cell\": \"10.9 ± 0.2\", \"bbox\": [70, 109, 103, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 107, 138, 119]}, {\"cell\": \"0.3 ± 0.0\", \"bbox\": [175, 109, 204, 119]}, {\"cell\": \"0.8 <sup>b</sup>\", \"bbox\": [222, 107, 239, 119]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 109, 309, 119]}, {\"cell\": \"0.1\", \"bbox\": [327, 109, 338, 119]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 109, 414, 119]}, {\"cell\": \"0.0\", \"bbox\": [432, 109, 443, 119]}, {\"cell\": \"NHANES 2001-2006\", \"bbox\": [1, 122, 65, 132]}, {\"cell\": \"12.0 ± 0.3\", \"bbox\": [70, 122, 103, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 121, 138, 132]}, {\"cell\": \"0.4 ± 0.0\", \"bbox\": [175, 122, 204, 132]}, {\"cell\": \"0.7 <sup>ab</sup>\", \"bbox\": [222, 121, 242, 132]}, {\"cell\": \"0.1 ± 0.0\", \"bbox\": [280, 122, 309, 132]}, {\"cell\": \"0.2\", \"bbox\": [327, 122, 338, 132]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 122, 414, 132]}, {\"cell\": \"0.0\", \"bbox\": [432, 122, 443, 132]}, {\"cell\": \"Saturated Fat (g/d)\", \"bbox\": [1, 135, 63, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NHANES 1976-1980\", \"bbox\": [1, 149, 65, 158]}, {\"cell\": \"7.5 ± 0.1\", \"bbox\": [70, 149, 100, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 147, 137, 158]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [175, 149, 204, 158]}, {\"cell\": \"0\", \"bbox\": [222, 149, 228, 158]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 149, 309, 158]}, {\"cell\": \"0.0\", \"bbox\": [327, 149, 338, 158]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 149, 414, 158]}, {\"cell\": \"0.0\", \"bbox\": [432, 149, 443, 158]}, {\"cell\": \"NHANES 1988-1994\", \"bbox\": [1, 162, 65, 171]}, {\"cell\": \"6.8 ± 0.2\", \"bbox\": [70, 162, 100, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 160, 138, 171]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [175, 162, 204, 171]}, {\"cell\": \"0.3\", \"bbox\": [222, 162, 233, 171]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 162, 309, 171]}, {\"cell\": \"0.1\", \"bbox\": [327, 162, 338, 171]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 162, 414, 171]}, {\"cell\": \"0.0\", \"bbox\": [432, 162, 443, 171]}, {\"cell\": \"NHANES 2001-2006\", \"bbox\": [1, 175, 65, 184]}, {\"cell\": \"7.2 ± 0.2\", \"bbox\": [70, 175, 100, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 173, 138, 184]}, {\"cell\": \"0.1 ± 0.0\", \"bbox\": [175, 175, 204, 184]}, {\"cell\": \"0.4\", \"bbox\": [222, 175, 233, 184]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 175, 309, 184]}, {\"cell\": \"0.0\", \"bbox\": [327, 175, 338, 184]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 175, 414, 184]}, {\"cell\": \"0.0\", \"bbox\": [432, 175, 443, 184]}, {\"cell\": \"Protein (g/d)\", \"bbox\": [1, 188, 43, 197]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NHANES 1976-1980\", \"bbox\": [1, 201, 65, 211]}, {\"cell\": \"16.3 ± 0.3\", \"bbox\": [70, 201, 103, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 200, 137, 211]}, {\"cell\": \"1.3 ± 0.1\", \"bbox\": [175, 201, 204, 211]}, {\"cell\": \"2.9 <sup>a</sup>\", \"bbox\": [222, 200, 239, 211]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [280, 201, 309, 211]}, {\"cell\": \"0.0\", \"bbox\": [327, 201, 338, 211]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 201, 414, 211]}, {\"cell\": \"0.0\", \"bbox\": [432, 201, 443, 211]}, {\"cell\": \"NHANES 1988-1994\", \"bbox\": [1, 214, 65, 224]}, {\"cell\": \"13.8 ± 0.2\", \"bbox\": [70, 214, 103, 224]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 213, 138, 224]}, {\"cell\": \"0.5 ± 0.0\", \"bbox\": [175, 214, 204, 224]}, {\"cell\": \"1.2 <sup>b</sup>\", \"bbox\": [222, 213, 239, 224]}, {\"cell\": \"0.1 ± 0.0\", \"bbox\": [280, 214, 309, 224]}, {\"cell\": \"0.2\", \"bbox\": [327, 214, 338, 224]}, {\"cell\": \"0.0 ± 0.0\", \"bbox\": [385, 214, 414, 224]}, {\"cell\": \"0.0\", \"bbox\": [432, 214, 443, 224]}, {\"cell\": \"NHANES 2001-2006\", \"bbox\": [1, 227, 65, 237]}, {\"cell\": \"15.9 ± 0.4\", \"bbox\": [70, 227, 103, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 226, 137, 237]}, {\"cell\": \"± 0.0\", \"bbox\": [175, 227, 193, 237]}, {\"cell\": \"2.0 <sup>c</sup>\", \"bbox\": [222, 226, 238, 237]}, {\"cell\": \"0.1 ± 0.0\", \"bbox\": [280, 227, 309, 237]}, {\"cell\": \"0.3\", \"bbox\": [327, 227, 338, 237]}, {\"cell\": \"0.1 ± 0.0\", \"bbox\": [385, 227, 414, 237]}, {\"cell\": \"0.2\", \"bbox\": [432, 227, 443, 237]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3551691_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}909{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Survivors</b></td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Patient #</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>1</b></td><td><b>2</b></td><td><b>3</b></td><td><b>4</b></td><td><b>5</b></td><td><b>6</b></td></tr></thead><tbody><tr><td>Mechanism</td><td>MVC</td><td>MVC</td><td>[EMPTY_CELL]</td><td>Other blunt</td><td>MVC</td><td>MVC</td></tr><tr><td>Age</td><td>68</td><td>55</td><td>[EMPTY_CELL]</td><td>53</td><td>79</td><td>49</td></tr><tr><td>Gender</td><td>Male</td><td>Male</td><td>[EMPTY_CELL]</td><td>Female</td><td>Male</td><td>Female</td></tr><tr><td>ISS</td><td>29</td><td>50</td><td>[EMPTY_CELL]</td><td>22</td><td>38</td><td>50</td></tr><tr><td>Fracture Type</td><td>Left both column acetabular fracture</td><td>Left iliac wing fracture</td><td>[EMPTY_CELL]</td><td>Sacral compression fracture</td><td>Left ilium and sacroiliac joint</td><td>Sacral compression fracture</td></tr><tr><td>OTA</td><td>L 62C3</td><td>L 61C1.1</td><td>[EMPTY_CELL]</td><td>L61B-2.1</td><td>L61A-2.2</td><td>L61B-2.1</td></tr><tr><td>ED LOS (min)</td><td>> 60</td><td>> 60</td><td>[EMPTY_CELL]</td><td>25</td><td>ED-to-ED Transfer</td><td>> 60</td></tr><tr><td>Hospital LOS</td><td>14</td><td>34</td><td>[EMPTY_CELL]</td><td>28</td><td>55</td><td>18</td></tr><tr><td>ICU LOS</td><td>11</td><td>34</td><td>[EMPTY_CELL]</td><td>6</td><td>22</td><td>11</td></tr><tr><td>Vent Days</td><td>10</td><td>34</td><td>[EMPTY_CELL]</td><td>5</td><td>16</td><td>7</td></tr><tr><td>Pre-OR PRBC</td><td>4 units</td><td>4 units</td><td>[EMPTY_CELL]</td><td>4 units</td><td>> 6 units</td><td>> 6 units</td></tr><tr><td>Initial B.D.</td><td>3.2</td><td>7.2</td><td>[EMPTY_CELL]</td><td>> 13.0</td><td>6.1</td><td>12.2</td></tr><tr><td>Initial INR</td><td>1.04</td><td>1.66</td><td>[EMPTY_CELL]</td><td>1.46</td><td>1.12</td><td>1.02</td></tr><tr><td>Pre-OR CT</td><td>Yes</td><td>Yes</td><td>[EMPTY_CELL]</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><td>Exp Lap</td><td>Yes</td><td>Yes</td><td>[EMPTY_CELL]</td><td>Yes</td><td>Yes</td><td>Yes</td></tr><tr><td>Angio First</td><td>No</td><td>No</td><td>[EMPTY_CELL]</td><td>No</td><td>No</td><td>No</td></tr><tr><td>Disposition</td><td>Rehab</td><td>SNF</td><td>[EMPTY_CELL]</td><td>SNF</td><td>SNF</td><td>Rehab</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Survivors</b>\", \"bbox\": [248, 4, 282, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Patient #</b>\", \"bbox\": [249, 17, 282, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>1</b>\", \"bbox\": [85, 31, 91, 38]}, {\"cell\": \"<b>2</b>\", \"bbox\": [158, 31, 164, 38]}, {\"cell\": \"<b>3</b>\", \"bbox\": [232, 31, 238, 38]}, {\"cell\": \"<b>4</b>\", \"bbox\": [311, 31, 318, 38]}, {\"cell\": \"<b>5</b>\", \"bbox\": [380, 31, 387, 38]}, {\"cell\": \"<b>6</b>\", \"bbox\": [450, 31, 456, 38]}, {\"cell\": \"Mechanism\", \"bbox\": [1, 44, 39, 53]}, {\"cell\": \"MVC\", \"bbox\": [80, 44, 97, 53]}, {\"cell\": \"MVC\", \"bbox\": [152, 44, 169, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 44, 243, 53]}, {\"cell\": \"Other blunt\", \"bbox\": [295, 44, 334, 53]}, {\"cell\": \"MVC\", \"bbox\": [375, 44, 392, 53]}, {\"cell\": \"MVC\", \"bbox\": [444, 44, 461, 53]}, {\"cell\": \"Age\", \"bbox\": [1, 56, 15, 65]}, {\"cell\": \"68\", \"bbox\": [83, 56, 93, 65]}, {\"cell\": \"55\", \"bbox\": [156, 56, 165, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 56, 240, 65]}, {\"cell\": \"53\", \"bbox\": [310, 56, 319, 65]}, {\"cell\": \"79\", \"bbox\": [379, 56, 388, 65]}, {\"cell\": \"49\", \"bbox\": [448, 56, 458, 65]}, {\"cell\": \"Gender\", \"bbox\": [1, 67, 26, 77]}, {\"cell\": \"Male\", \"bbox\": [80, 67, 97, 77]}, {\"cell\": \"Male\", \"bbox\": [152, 67, 169, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 67, 243, 77]}, {\"cell\": \"Female\", \"bbox\": [302, 67, 327, 77]}, {\"cell\": \"Male\", \"bbox\": [375, 67, 392, 77]}, {\"cell\": \"Female\", \"bbox\": [440, 67, 465, 77]}, {\"cell\": \"ISS\", \"bbox\": [1, 79, 11, 89]}, {\"cell\": \"29\", \"bbox\": [83, 79, 93, 89]}, {\"cell\": \"50\", \"bbox\": [156, 79, 165, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 79, 240, 89]}, {\"cell\": \"22\", \"bbox\": [310, 79, 319, 89]}, {\"cell\": \"38\", \"bbox\": [379, 79, 388, 89]}, {\"cell\": \"50\", \"bbox\": [448, 79, 458, 89]}, {\"cell\": \"Fracture Type\", \"bbox\": [1, 91, 28, 110]}, {\"cell\": \"Left both column acetabular fracture\", \"bbox\": [57, 91, 119, 110]}, {\"cell\": \"Left iliac wing fracture\", \"bbox\": [137, 91, 184, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 91, 266, 110]}, {\"cell\": \"Sacral compression fracture\", \"bbox\": [283, 91, 346, 110]}, {\"cell\": \"Left ilium and sacroiliac joint\", \"bbox\": [360, 91, 407, 110]}, {\"cell\": \"Sacral compression fracture\", \"bbox\": [421, 91, 484, 110]}, {\"cell\": \"OTA\", \"bbox\": [1, 112, 16, 122]}, {\"cell\": \"L 62C3\", \"bbox\": [76, 112, 100, 122]}, {\"cell\": \"L 61C1.1\", \"bbox\": [146, 112, 175, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [222, 112, 247, 122]}, {\"cell\": \"L61B-2.1\", \"bbox\": [300, 112, 329, 122]}, {\"cell\": \"L61A-2.2\", \"bbox\": [369, 112, 398, 122]}, {\"cell\": \"L61B-2.1\", \"bbox\": [438, 112, 467, 122]}, {\"cell\": \"ED LOS (min)\", \"bbox\": [1, 124, 26, 143]}, {\"cell\": \"> 60\", \"bbox\": [80, 124, 97, 134]}, {\"cell\": \"> 60\", \"bbox\": [152, 124, 169, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 124, 242, 134]}, {\"cell\": \"25\", \"bbox\": [310, 124, 319, 134]}, {\"cell\": \"ED-to-ED Transfer\", \"bbox\": [354, 124, 413, 134]}, {\"cell\": \"> 60\", \"bbox\": [444, 124, 461, 134]}, {\"cell\": \"Hospital LOS\", \"bbox\": [1, 145, 28, 164]}, {\"cell\": \"14\", \"bbox\": [83, 145, 93, 155]}, {\"cell\": \"34\", \"bbox\": [156, 145, 165, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 145, 240, 155]}, {\"cell\": \"28\", \"bbox\": [310, 145, 319, 155]}, {\"cell\": \"55\", \"bbox\": [379, 145, 388, 155]}, {\"cell\": \"18\", \"bbox\": [448, 145, 458, 155]}, {\"cell\": \"ICU LOS\", \"bbox\": [1, 166, 29, 176]}, {\"cell\": \"11\", \"bbox\": [83, 166, 93, 176]}, {\"cell\": \"34\", \"bbox\": [156, 166, 165, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 166, 240, 176]}, {\"cell\": \"6\", \"bbox\": [312, 166, 317, 176]}, {\"cell\": \"22\", \"bbox\": [379, 166, 388, 176]}, {\"cell\": \"11\", \"bbox\": [448, 166, 458, 176]}, {\"cell\": \"Vent Days\", \"bbox\": [1, 178, 35, 188]}, {\"cell\": \"10\", \"bbox\": [83, 178, 93, 188]}, {\"cell\": \"34\", \"bbox\": [156, 178, 165, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [230, 178, 240, 188]}, {\"cell\": \"5\", \"bbox\": [312, 178, 317, 188]}, {\"cell\": \"16\", \"bbox\": [379, 178, 388, 188]}, {\"cell\": \"7\", \"bbox\": [450, 178, 456, 188]}, {\"cell\": \"Pre-OR PRBC\", \"bbox\": [1, 190, 24, 208]}, {\"cell\": \"4 units\", \"bbox\": [76, 190, 100, 200]}, {\"cell\": \"4 units\", \"bbox\": [149, 190, 173, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 190, 247, 200]}, {\"cell\": \"4 units\", \"bbox\": [303, 190, 326, 200]}, {\"cell\": \"> 6 units\", \"bbox\": [368, 190, 399, 200]}, {\"cell\": \"> 6 units\", \"bbox\": [437, 190, 468, 200]}, {\"cell\": \"Initial B.D.\", \"bbox\": [1, 211, 34, 220]}, {\"cell\": \"3.2\", \"bbox\": [83, 211, 94, 220]}, {\"cell\": \"7.2\", \"bbox\": [155, 211, 166, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 211, 240, 220]}, {\"cell\": \"> 13.0\", \"bbox\": [303, 211, 326, 220]}, {\"cell\": \"6.1\", \"bbox\": [378, 211, 389, 220]}, {\"cell\": \"12.2\", \"bbox\": [445, 211, 460, 220]}, {\"cell\": \"Initial INR\", \"bbox\": [1, 223, 33, 232]}, {\"cell\": \"1.04\", \"bbox\": [81, 223, 96, 232]}, {\"cell\": \"1.66\", \"bbox\": [153, 223, 168, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [226, 223, 244, 232]}, {\"cell\": \"1.46\", \"bbox\": [307, 223, 322, 232]}, {\"cell\": \"1.12\", \"bbox\": [376, 223, 391, 232]}, {\"cell\": \"1.02\", \"bbox\": [445, 223, 460, 232]}, {\"cell\": \"Pre-OR CT\", \"bbox\": [1, 235, 35, 244]}, {\"cell\": \"Yes\", \"bbox\": [82, 235, 95, 244]}, {\"cell\": \"Yes\", \"bbox\": [154, 235, 167, 244]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 235, 241, 244]}, {\"cell\": \"Yes\", \"bbox\": [308, 235, 321, 244]}, {\"cell\": \"Yes\", \"bbox\": [377, 235, 390, 244]}, {\"cell\": \"Yes\", \"bbox\": [446, 235, 459, 244]}, {\"cell\": \"Exp Lap\", \"bbox\": [1, 247, 28, 256]}, {\"cell\": \"Yes\", \"bbox\": [82, 247, 95, 256]}, {\"cell\": \"Yes\", \"bbox\": [154, 247, 167, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [229, 247, 240, 256]}, {\"cell\": \"Yes\", \"bbox\": [308, 247, 321, 256]}, {\"cell\": \"Yes\", \"bbox\": [377, 247, 390, 256]}, {\"cell\": \"Yes\", \"bbox\": [446, 247, 459, 256]}, {\"cell\": \"Angio First\", \"bbox\": [1, 259, 37, 268]}, {\"cell\": \"No\", \"bbox\": [83, 259, 94, 268]}, {\"cell\": \"No\", \"bbox\": [155, 259, 166, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [228, 259, 241, 268]}, {\"cell\": \"No\", \"bbox\": [309, 259, 320, 268]}, {\"cell\": \"No\", \"bbox\": [378, 259, 389, 268]}, {\"cell\": \"No\", \"bbox\": [447, 259, 458, 268]}, {\"cell\": \"Disposition\", \"bbox\": [1, 271, 38, 280]}, {\"cell\": \"Rehab\", \"bbox\": [77, 271, 99, 280]}, {\"cell\": \"SNF\", \"bbox\": [153, 271, 168, 280]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 271, 246, 280]}, {\"cell\": \"SNF\", \"bbox\": [307, 271, 322, 280]}, {\"cell\": \"SNF\", \"bbox\": [376, 271, 391, 280]}, {\"cell\": \"Rehab\", \"bbox\": [442, 271, 464, 280]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3113950_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}910{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Predictor</b></td><td><b>Univariable models</b></td><td><b>Multivariable model</b></td></tr><tr><td><b>OR (95% CI)</b></td><td><b>OR (95% CI)</b></td></tr></thead><tbody><tr><td>UK OGs vs UKGs</td><td>0.25 (0.23 to 0.27)</td><td>[EMPTY_CELL]</td></tr><tr><td>UK OGs vs EEAG</td><td>0.66 (0.58 to 0.75)</td><td>[EMPTY_CELL]</td></tr><tr><td>UK OGs vs IMG</td><td>1.29 (1.16 to 1.42)</td><td>[EMPTY_CELL]</td></tr><tr><td>Male sex</td><td>0.70 (0.68 to 0.73)</td><td>[EMPTY_CELL]</td></tr><tr><td>Shortlisting score (z-score)</td><td>1.74 (1.69 to 1.80)</td><td>[EMPTY_CELL]</td></tr><tr><td>Interview score (z-score)</td><td>8.41 (8.10 to 8.73)</td><td>[EMPTY_CELL]</td></tr><tr><td>Age at selection</td><td>0.93 (0.93 to 0.94)</td><td>[EMPTY_CELL]</td></tr><tr><td>UK experience (years) at selection</td><td>1.50 (1.47 to 1.52)</td><td>[EMPTY_CELL]</td></tr><tr><td>Experience/age interaction</td><td>–</td><td>[EMPTY_CELL]</td></tr><tr><td>GDP of country of nationality (US$10 000 per person)</td><td>1.52 (1.50 to 1.55)</td><td>[EMPTY_CELL]</td></tr><tr><td>GDP of country of qualification (US$10 000 per person)</td><td>1.63 (1.60 to 1.65)</td><td>[EMPTY_CELL]</td></tr><tr><td>Difference in GDP countries (US$10 000 per person)</td><td>0.87 (0.85 to 0.89)</td><td>[EMPTY_CELL]</td></tr><tr><td>Absolute difference in GDP (US$10 000 per person)</td><td>0.74 (0.73 to 0.76)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Predictor</b>\", \"bbox\": [5, 19, 46, 29]}, {\"cell\": \"<b>Univariable models</b>\", \"bbox\": [259, 4, 343, 15]}, {\"cell\": \"<b>Multivariable model</b>\", \"bbox\": [389, 4, 475, 15]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [259, 19, 312, 29]}, {\"cell\": \"<b>OR (95% CI)</b>\", \"bbox\": [389, 19, 442, 29]}, {\"cell\": \"UK OGs vs UKGs\", \"bbox\": [5, 35, 80, 46]}, {\"cell\": \"0.25 (0.23 to 0.27)\", \"bbox\": [262, 35, 337, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 35, 467, 46]}, {\"cell\": \"UK OGs vs EEAG\", \"bbox\": [5, 48, 77, 59]}, {\"cell\": \"0.66 (0.58 to 0.75)\", \"bbox\": [262, 48, 337, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 48, 467, 59]}, {\"cell\": \"UK OGs vs IMG\", \"bbox\": [5, 62, 71, 74]}, {\"cell\": \"1.29 (1.16 to 1.42)\", \"bbox\": [262, 62, 337, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 62, 470, 74]}, {\"cell\": \"Male sex\", \"bbox\": [5, 77, 43, 88]}, {\"cell\": \"0.70 (0.68 to 0.73)\", \"bbox\": [262, 77, 337, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 77, 398, 88]}, {\"cell\": \"Shortlisting score (z-score)\", \"bbox\": [5, 91, 114, 102]}, {\"cell\": \"1.74 (1.69 to 1.80)\", \"bbox\": [262, 91, 337, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 91, 398, 102]}, {\"cell\": \"Interview score (z-score)\", \"bbox\": [5, 106, 105, 117]}, {\"cell\": \"8.41 (8.10 to 8.73)\", \"bbox\": [262, 106, 337, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 106, 467, 117]}, {\"cell\": \"Age at selection\", \"bbox\": [5, 120, 71, 131]}, {\"cell\": \"0.93 (0.93 to 0.94)\", \"bbox\": [262, 120, 337, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 120, 398, 131]}, {\"cell\": \"UK experience (years) at selection\", \"bbox\": [5, 135, 143, 146]}, {\"cell\": \"1.50 (1.47 to 1.52)\", \"bbox\": [262, 135, 336, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 135, 466, 146]}, {\"cell\": \"Experience/age interaction\", \"bbox\": [5, 149, 114, 160]}, {\"cell\": \"–\", \"bbox\": [262, 149, 268, 160]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 149, 477, 160]}, {\"cell\": \"GDP of country of nationality (US$10 000 per person)\", \"bbox\": [4, 163, 221, 175]}, {\"cell\": \"1.52 (1.50 to 1.55)\", \"bbox\": [262, 163, 336, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 163, 398, 175]}, {\"cell\": \"GDP of country of qualification (US$10 000 per person)\", \"bbox\": [4, 178, 228, 189]}, {\"cell\": \"1.63 (1.60 to 1.65)\", \"bbox\": [262, 178, 336, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 178, 398, 189]}, {\"cell\": \"Difference in GDP countries (US$10 000 per person)\", \"bbox\": [4, 192, 216, 203]}, {\"cell\": \"0.87 (0.85 to 0.89)\", \"bbox\": [262, 192, 336, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 192, 398, 203]}, {\"cell\": \"Absolute difference in GDP (US$10 000 per person)\", \"bbox\": [4, 206, 212, 217]}, {\"cell\": \"0.74 (0.73 to 0.76)\", \"bbox\": [262, 206, 336, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [392, 206, 398, 217]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6082483_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}911{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"3\\\"><b>Country</b></td><td colspan=\\\"2\\\"><b>Ethiopia</b></td><td colspan=\\\"2\\\"><b>India</b></td><td colspan=\\\"4\\\"><b>Nepal</b></td><td colspan=\\\"3\\\"><b>South Africa</b></td><td colspan=\\\"2\\\"><b>Uganda</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\"><b>Abbreviation</b></td><td><b>ET1</b></td><td><b>ET2</b></td><td><b>IN1</b></td><td><b>IN2</b></td><td><b>NE1</b></td><td><b>NE2</b></td><td><b>NE3</b></td><td><b>NE4</b></td><td><b>SA1</b></td><td><b>SA2</b></td><td><b>SA3</b></td><td>[EMPTY_CELL]</td><td><b>UG2</b></td></tr><tr><td colspan=\\\"3\\\"><b>Number of participants</b></td><td>17</td><td>13</td><td>20</td><td>17</td><td>14</td><td>10</td><td>11</td><td>8</td><td>38</td><td>26</td><td>37</td><td>[EMPTY_CELL]</td><td>22</td></tr><tr><td colspan=\\\"3\\\"><b>Category of stakeholders</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>1.</b></td><td colspan=\\\"2\\\"><b>Policy makers</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">National* Health representatives</td><td>[EMPTY_CELL]</td><td>*X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X*</td><td>X*</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">State/province Health representatives</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>*X</td><td>*X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>2.</b></td><td colspan=\\\"2\\\"><b>District level planners and management</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">District Health representatives</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td rowspan=\\\"6\\\">[EMPTY_CELL]</td><td>Health planners/managers</td><td>X</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>[EMPTY_CELL]</td><td>District Medical officers</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>MH coordinators</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Other health coordinators</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>[EMPTY_CELL]</td><td>Other district administrative or finance staff</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>[EMPTY_CELL]</td><td>Other district representatives (Justice, Education)</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>3.</b></td><td colspan=\\\"2\\\"><b>Specialists</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>Psychiatrists</td><td>X*</td><td>X</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Psychologists</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Psychiatric clinical officers</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>[EMPTY_CELL]</td><td>Psychiatric nurses</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">Other Medical Specialists</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>4.</b></td><td colspan=\\\"2\\\"><b>Service providers</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">Community health center, primary health center and sub health posts</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>Clinic managers</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td rowspan=\\\"7\\\">[EMPTY_CELL]</td><td>Medical officers</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td></tr><tr><td>[EMPTY_CELL]</td><td>Clinical officers</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Health Assistants</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Nurses</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Lay Health workers (clinic based)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td></tr><tr><td>[EMPTY_CELL]</td><td>Lay Health workers (community based)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Other clinic staff</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td></tr><tr><td><b>5.</b></td><td colspan=\\\"2\\\"><b>Researchers</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>PRIME</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td></tr><tr><td><b>6.</b></td><td colspan=\\\"2\\\"><b>Community and civil society</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">NGO/development organisations</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>X</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">Community</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td rowspan=\\\"4\\\">[EMPTY_CELL]</td><td>Community leaders</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Media</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Faith leaders</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Traditional healers</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>7.</b></td><td colspan=\\\"2\\\"><b>Mental Health Service users</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>X</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Country</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>Ethiopia</b>\", \"bbox\": [198, 4, 229, 13]}, {\"cell\": \"<b>India</b>\", \"bbox\": [242, 4, 261, 13]}, {\"cell\": \"<b>Nepal</b>\", \"bbox\": [284, 4, 306, 13]}, {\"cell\": \"<b>South Africa</b>\", \"bbox\": [376, 4, 420, 13]}, {\"cell\": \"<b>Uganda</b>\", \"bbox\": [444, 4, 473, 13]}, {\"cell\": \"<b>Abbreviation</b>\", \"bbox\": [1, 17, 47, 27]}, {\"cell\": \"<b>ET1</b>\", \"bbox\": [198, 17, 213, 27]}, {\"cell\": \"<b>ET2</b>\", \"bbox\": [220, 17, 235, 27]}, {\"cell\": \"<b>IN1</b>\", \"bbox\": [242, 17, 255, 27]}, {\"cell\": \"<b>IN2</b>\", \"bbox\": [263, 17, 276, 27]}, {\"cell\": \"<b>NE1</b>\", \"bbox\": [284, 17, 299, 27]}, {\"cell\": \"<b>NE2</b>\", \"bbox\": [307, 17, 322, 27]}, {\"cell\": \"<b>NE3</b>\", \"bbox\": [330, 17, 345, 27]}, {\"cell\": \"<b>NE4</b>\", \"bbox\": [353, 17, 368, 27]}, {\"cell\": \"<b>SA1</b>\", \"bbox\": [376, 17, 391, 27]}, {\"cell\": \"<b>SA2</b>\", \"bbox\": [398, 17, 414, 27]}, {\"cell\": \"<b>SA3</b>\", \"bbox\": [421, 17, 436, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 17, 460, 27]}, {\"cell\": \"<b>UG2</b>\", \"bbox\": [468, 17, 484, 27]}, {\"cell\": \"<b>Number of participants</b>\", \"bbox\": [1, 31, 83, 41]}, {\"cell\": \"17\", \"bbox\": [198, 31, 208, 41]}, {\"cell\": \"13\", \"bbox\": [220, 31, 230, 41]}, {\"cell\": \"20\", \"bbox\": [242, 31, 252, 41]}, {\"cell\": \"17\", \"bbox\": [263, 31, 272, 41]}, {\"cell\": \"14\", \"bbox\": [284, 31, 293, 41]}, {\"cell\": \"10\", \"bbox\": [307, 31, 316, 41]}, {\"cell\": \"11\", \"bbox\": [330, 31, 339, 41]}, {\"cell\": \"8\", \"bbox\": [353, 31, 358, 41]}, {\"cell\": \"38\", \"bbox\": [376, 31, 385, 41]}, {\"cell\": \"26\", \"bbox\": [398, 31, 408, 41]}, {\"cell\": \"37\", \"bbox\": [421, 31, 431, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 31, 453, 41]}, {\"cell\": \"22\", \"bbox\": [468, 31, 477, 41]}, {\"cell\": \"<b>Category of stakeholders</b>\", \"bbox\": [1, 45, 89, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>1.</b>\", \"bbox\": [1, 59, 9, 69]}, {\"cell\": \"<b>Policy makers</b>\", \"bbox\": [16, 59, 66, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"National* Health representatives\", \"bbox\": [16, 73, 121, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"*X\", \"bbox\": [220, 73, 229, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [307, 73, 313, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [353, 73, 359, 83]}, {\"cell\": \"X*\", \"bbox\": [376, 73, 385, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 73, 430, 83]}, {\"cell\": \"X*\", \"bbox\": [444, 73, 453, 83]}, {\"cell\": \"X*\", \"bbox\": [468, 73, 477, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"State/province Health representatives\", \"bbox\": [16, 87, 138, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"*X\", \"bbox\": [242, 87, 251, 97]}, {\"cell\": \"*X\", \"bbox\": [263, 87, 272, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [376, 87, 382, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 87, 427, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>2.</b>\", \"bbox\": [1, 101, 9, 111]}, {\"cell\": \"<b>District level planners and management</b>\", \"bbox\": [16, 101, 157, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"District Health representatives\", \"bbox\": [16, 115, 113, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Health planners/managers\", \"bbox\": [31, 129, 117, 139]}, {\"cell\": \"X\", \"bbox\": [198, 129, 205, 139]}, {\"cell\": \"X\", \"bbox\": [220, 129, 226, 139]}, {\"cell\": \"X\", \"bbox\": [242, 129, 248, 139]}, {\"cell\": \"X\", \"bbox\": [263, 129, 269, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [444, 129, 450, 139]}, {\"cell\": \"X\", \"bbox\": [468, 129, 474, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"District Medical officers\", \"bbox\": [31, 143, 107, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [242, 143, 248, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [376, 143, 382, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 143, 427, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MH coordinators\", \"bbox\": [31, 157, 86, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [263, 157, 269, 167]}, {\"cell\": \"X\", \"bbox\": [284, 157, 290, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [330, 157, 336, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [376, 157, 382, 167]}, {\"cell\": \"X\", \"bbox\": [398, 157, 405, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 157, 427, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other health coordinators\", \"bbox\": [31, 171, 116, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [284, 171, 290, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [330, 171, 336, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [376, 171, 382, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [444, 171, 450, 181]}, {\"cell\": \"X\", \"bbox\": [468, 171, 474, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other district administrative or finance staff\", \"bbox\": [31, 185, 172, 195]}, {\"cell\": \"X\", \"bbox\": [198, 185, 205, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [444, 185, 450, 195]}, {\"cell\": \"X\", \"bbox\": [468, 185, 474, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other district representatives (Justice, Education)\", \"bbox\": [31, 199, 188, 209]}, {\"cell\": \"X\", \"bbox\": [198, 199, 205, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>3.</b>\", \"bbox\": [1, 213, 9, 223]}, {\"cell\": \"<b>Specialists</b>\", \"bbox\": [16, 213, 54, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Psychiatrists\", \"bbox\": [31, 227, 71, 237]}, {\"cell\": \"X*\", \"bbox\": [198, 227, 208, 237]}, {\"cell\": \"X\", \"bbox\": [220, 227, 226, 237]}, {\"cell\": \"X\", \"bbox\": [242, 227, 248, 237]}, {\"cell\": \"X\", \"bbox\": [263, 227, 269, 237]}, {\"cell\": \"X\", \"bbox\": [284, 227, 290, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [330, 227, 336, 237]}, {\"cell\": \"X\", \"bbox\": [353, 227, 359, 237]}, {\"cell\": \"X\", \"bbox\": [376, 227, 382, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [421, 227, 427, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Psychologists\", \"bbox\": [31, 241, 75, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [242, 241, 248, 251]}, {\"cell\": \"X\", \"bbox\": [263, 241, 269, 251]}, {\"cell\": \"X\", \"bbox\": [284, 241, 290, 251]}, {\"cell\": \"X\", \"bbox\": [307, 241, 313, 251]}, {\"cell\": \"X\", \"bbox\": [330, 241, 336, 251]}, {\"cell\": \"X\", \"bbox\": [353, 241, 359, 251]}, {\"cell\": \"X\", \"bbox\": [376, 241, 382, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 241, 427, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Psychiatric clinical officers\", \"bbox\": [31, 255, 115, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [444, 255, 450, 265]}, {\"cell\": \"X\", \"bbox\": [468, 255, 474, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Psychiatric nurses\", \"bbox\": [31, 269, 89, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [307, 269, 313, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [444, 269, 450, 279]}, {\"cell\": \"X\", \"bbox\": [468, 269, 474, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other Medical Specialists\", \"bbox\": [16, 283, 98, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [376, 283, 382, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 283, 427, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>4.</b>\", \"bbox\": [1, 297, 9, 307]}, {\"cell\": \"<b>Service providers</b>\", \"bbox\": [16, 297, 78, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Community health center, primary health center and sub health posts\", \"bbox\": [16, 311, 188, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Clinic managers\", \"bbox\": [31, 334, 84, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [376, 334, 382, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [421, 334, 427, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Medical officers\", \"bbox\": [31, 348, 83, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [242, 348, 248, 358]}, {\"cell\": \"X\", \"bbox\": [263, 348, 269, 358]}, {\"cell\": \"X\", \"bbox\": [284, 348, 290, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [330, 348, 336, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [376, 348, 382, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [421, 348, 427, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [468, 348, 474, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Clinical officers\", \"bbox\": [31, 362, 80, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [444, 362, 450, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Health Assistants\", \"bbox\": [31, 376, 87, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [284, 376, 290, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [330, 376, 336, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nurses\", \"bbox\": [31, 390, 54, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [284, 390, 290, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [330, 390, 336, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [444, 390, 450, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lay Health workers (clinic based)\", \"bbox\": [31, 404, 138, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [284, 404, 290, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [330, 404, 336, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [376, 404, 382, 414]}, {\"cell\": \"X\", \"bbox\": [398, 404, 405, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 404, 427, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [468, 404, 474, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Lay Health workers (community based)\", \"bbox\": [31, 418, 158, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 418, 427, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Other clinic staff\", \"bbox\": [31, 432, 85, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [242, 432, 248, 442]}, {\"cell\": \"X\", \"bbox\": [263, 432, 269, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [444, 432, 450, 442]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>5.</b>\", \"bbox\": [1, 446, 9, 456]}, {\"cell\": \"<b>Researchers</b>\", \"bbox\": [16, 446, 59, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PRIME\", \"bbox\": [31, 460, 52, 470]}, {\"cell\": \"X\", \"bbox\": [198, 460, 205, 470]}, {\"cell\": \"X\", \"bbox\": [220, 460, 226, 470]}, {\"cell\": \"X\", \"bbox\": [242, 460, 248, 470]}, {\"cell\": \"X\", \"bbox\": [263, 460, 269, 470]}, {\"cell\": \"X\", \"bbox\": [284, 460, 290, 470]}, {\"cell\": \"X\", \"bbox\": [307, 460, 313, 470]}, {\"cell\": \"X\", \"bbox\": [330, 460, 336, 470]}, {\"cell\": \"X\", \"bbox\": [353, 460, 359, 470]}, {\"cell\": \"X\", \"bbox\": [376, 460, 382, 470]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [398, 460, 405, 470]}, {\"cell\": \"X\", \"bbox\": [421, 460, 427, 470]}, {\"cell\": \"X\", \"bbox\": [444, 460, 450, 470]}, {\"cell\": \"X\", \"bbox\": [468, 460, 474, 470]}, {\"cell\": \"<b>6.</b>\", \"bbox\": [1, 474, 9, 484]}, {\"cell\": \"<b>Community and civil society</b>\", \"bbox\": [16, 474, 116, 484]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NGO/development organisations\", \"bbox\": [16, 488, 123, 498]}, {\"cell\": \"X\", \"bbox\": [198, 488, 205, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [242, 488, 248, 498]}, {\"cell\": \"X\", \"bbox\": [263, 488, 269, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [307, 488, 313, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [353, 488, 359, 498]}, {\"cell\": \"X\", \"bbox\": [376, 488, 382, 498]}, {\"cell\": \"X\", \"bbox\": [398, 488, 405, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [421, 488, 427, 498]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Community\", \"bbox\": [16, 502, 56, 512]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Community leaders\", \"bbox\": [31, 516, 95, 526]}, {\"cell\": \"X\", \"bbox\": [198, 516, 205, 526]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [421, 516, 427, 526]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Media\", \"bbox\": [31, 530, 52, 540]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [220, 530, 226, 540]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Faith leaders\", \"bbox\": [31, 544, 73, 554]}, {\"cell\": \"X\", \"bbox\": [198, 544, 205, 554]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [398, 544, 405, 554]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Traditional healers\", \"bbox\": [31, 558, 91, 568]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [398, 558, 405, 568]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>7.</b>\", \"bbox\": [1, 572, 9, 582]}, {\"cell\": \"<b>Mental Health Service users</b>\", \"bbox\": [16, 572, 114, 582]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [307, 572, 313, 582]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [353, 572, 359, 582]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"X\", \"bbox\": [398, 572, 405, 582]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4012094_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}912{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Treatment</b></td><td rowspan=\\\"2\\\"><b>Dose (<i>μ</i>M) </b></td><td colspan=\\\"4\\\"><b>Number of His<sup>+</sup> revertants colonies/plate (mean ± SE)</b></td></tr><tr><td><b>TA 97a</b></td><td><b>TA 98</b></td><td><b>TA 100</b></td><td><b>TA 102</b></td></tr></thead><tbody><tr><td>Spontaneous</td><td>[EMPTY_CELL]</td><td>144.0 ± 8.7</td><td>[EMPTY_CELL]</td><td>140.3 ± 10.8</td><td>325.7 ± 16.6</td></tr><tr><td>Positive control (BP)</td><td>1.5 <i>μ</i>g</td><td>736.7 ± 30.1</td><td>[EMPTY_CELL]</td><td>704.3 ± 27.0</td><td>694.0 ± 20.8</td></tr><tr><td rowspan=\\\"4\\\">Punicalagin</td><td>50</td><td>132.3 ± 8.8</td><td>[EMPTY_CELL]</td><td>136.0 ± 11.7</td><td> 320.0±21.9</td></tr><tr><td>100</td><td>158.0 ± 7.4</td><td>36.3 ± 1.8</td><td>[EMPTY_CELL]</td><td>341.0 ± 18.3</td></tr><tr><td>250</td><td>165.7 ± 10.9</td><td>31.0 ± 1.7</td><td>[EMPTY_CELL]</td><td>356.0 ± 10.4</td></tr><tr><td>500</td><td>188.0 ± 9.5</td><td>22.3 ± 1.8</td><td>[EMPTY_CELL]</td><td>358.0 ± 19.9</td></tr><tr><td rowspan=\\\"4\\\">Punicalagin + BP</td><td>50</td><td>645.3 ± 28.7 (15.1)</td><td>[EMPTY_CELL]</td><td>530.3 ± 26.4** (30.6)</td><td>635.0 ± 23.0 (15.8)</td></tr><tr><td>100</td><td>538.3 ± 28.9** (34.3)</td><td>105.3 ± 9.0* (46.6)</td><td>[EMPTY_CELL]</td><td>595.0 ± 28.8* (28.0)</td></tr><tr><td>250</td><td>431.0 ± 18.4*** (53.5)</td><td>65.0 ± 6.8** (74.8)</td><td>[EMPTY_CELL]</td><td>496.0 ± 17.4** (58.6)</td></tr><tr><td>500</td><td>316.0 ± 17.6*** (76.7)</td><td>52.7 ± 4.3** (78.8)</td><td>[EMPTY_CELL]</td><td>438.0 ± 19.5*** (76.2)</td></tr><tr><td><i>R</i><sup>2</sup></td><td>[EMPTY_CELL]</td><td>0.99</td><td>[EMPTY_CELL]</td><td>0.99</td><td>0.99</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Treatment</b>\", \"bbox\": [2, 10, 41, 20]}, {\"cell\": \"<b>Dose (<i>μ</i>M) </b>\", \"bbox\": [89, 7, 131, 22]}, {\"cell\": \"<b>Number of His<sup>+</sup> revertants colonies/plate (mean ± SE)</b>\", \"bbox\": [225, 1, 421, 17]}, {\"cell\": \"<b>TA 97a</b>\", \"bbox\": [173, 17, 200, 28]}, {\"cell\": \"<b>TA 98</b>\", \"bbox\": [263, 17, 287, 28]}, {\"cell\": \"<b>TA 100</b>\", \"bbox\": [351, 17, 378, 28]}, {\"cell\": \"<b>TA 102</b>\", \"bbox\": [446, 17, 472, 28]}, {\"cell\": \"Spontaneous\", \"bbox\": [2, 30, 50, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"144.0 ± 8.7\", \"bbox\": [166, 27, 207, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 27, 294, 42]}, {\"cell\": \"140.3 ± 10.8\", \"bbox\": [342, 27, 387, 42]}, {\"cell\": \"325.7 ± 16.6\", \"bbox\": [436, 27, 481, 42]}, {\"cell\": \"Positive control (BP)\", \"bbox\": [2, 42, 79, 53]}, {\"cell\": \"1.5 <i>μ</i>g\", \"bbox\": [100, 39, 122, 55]}, {\"cell\": \"736.7 ± 30.1\", \"bbox\": [164, 39, 209, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [253, 39, 298, 55]}, {\"cell\": \"704.3 ± 27.0\", \"bbox\": [342, 39, 387, 55]}, {\"cell\": \"694.0 ± 20.8\", \"bbox\": [436, 39, 481, 55]}, {\"cell\": \"Punicalagin\", \"bbox\": [2, 76, 47, 87]}, {\"cell\": \"50\", \"bbox\": [105, 59, 116, 69]}, {\"cell\": \"132.3 ± 8.8\", \"bbox\": [166, 56, 207, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [257, 56, 294, 71]}, {\"cell\": \"136.0 ± 11.7\", \"bbox\": [342, 56, 387, 71]}, {\"cell\": \" 320.0±21.9\", \"bbox\": [439, 56, 479, 71]}, {\"cell\": \"100\", \"bbox\": [104, 71, 118, 82]}, {\"cell\": \"158.0 ± 7.4\", \"bbox\": [166, 68, 207, 83]}, {\"cell\": \"36.3 ± 1.8\", \"bbox\": [257, 68, 294, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 68, 387, 83]}, {\"cell\": \"341.0 ± 18.3\", \"bbox\": [436, 68, 481, 83]}, {\"cell\": \"250\", \"bbox\": [103, 84, 118, 94]}, {\"cell\": \"165.7 ± 10.9\", \"bbox\": [164, 80, 209, 96]}, {\"cell\": \"31.0 ± 1.7\", \"bbox\": [257, 80, 294, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 80, 387, 96]}, {\"cell\": \"356.0 ± 10.4\", \"bbox\": [436, 80, 481, 96]}, {\"cell\": \"500\", \"bbox\": [103, 96, 118, 107]}, {\"cell\": \"188.0 ± 9.5\", \"bbox\": [166, 93, 207, 108]}, {\"cell\": \"22.3 ± 1.8\", \"bbox\": [257, 93, 294, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [342, 93, 387, 108]}, {\"cell\": \"358.0 ± 19.9\", \"bbox\": [436, 93, 481, 108]}, {\"cell\": \"Punicalagin + BP\", \"bbox\": [2, 130, 67, 141]}, {\"cell\": \"50\", \"bbox\": [105, 113, 116, 123]}, {\"cell\": \"645.3 ± 28.7 (15.1)\", \"bbox\": [154, 109, 220, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 109, 307, 125]}, {\"cell\": \"530.3 ± 26.4** (30.6)\", \"bbox\": [326, 109, 403, 125]}, {\"cell\": \"635.0 ± 23.0 (15.8)\", \"bbox\": [425, 109, 492, 125]}, {\"cell\": \"100\", \"bbox\": [104, 125, 118, 136]}, {\"cell\": \"538.3 ± 28.9** (34.3)\", \"bbox\": [149, 121, 225, 137]}, {\"cell\": \"105.3 ± 9.0* (46.6)\", \"bbox\": [241, 121, 310, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [326, 121, 403, 137]}, {\"cell\": \"595.0 ± 28.8* (28.0)\", \"bbox\": [422, 121, 495, 137]}, {\"cell\": \"250\", \"bbox\": [103, 137, 118, 148]}, {\"cell\": \"431.0 ± 18.4*** (53.5)\", \"bbox\": [147, 134, 226, 150]}, {\"cell\": \"65.0 ± 6.8** (74.8)\", \"bbox\": [242, 134, 309, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 134, 405, 150]}, {\"cell\": \"496.0 ± 17.4** (58.6)\", \"bbox\": [421, 134, 497, 150]}, {\"cell\": \"500\", \"bbox\": [103, 150, 118, 161]}, {\"cell\": \"316.0 ± 17.6*** (76.7)\", \"bbox\": [147, 146, 227, 162]}, {\"cell\": \"52.7 ± 4.3** (78.8)\", \"bbox\": [242, 146, 309, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [324, 146, 404, 162]}, {\"cell\": \"438.0 ± 19.5*** (76.2)\", \"bbox\": [419, 146, 499, 162]}, {\"cell\": \"<i>R</i><sup>2</sup>\", \"bbox\": [2, 159, 13, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.99\", \"bbox\": [178, 163, 195, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [267, 163, 284, 173]}, {\"cell\": \"0.99\", \"bbox\": [356, 163, 373, 173]}, {\"cell\": \"0.99\", \"bbox\": [450, 163, 467, 173]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4052943_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}913{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Parameters</b></td><td colspan=\\\"2\\\"><b>Recurrence</b></td><td rowspan=\\\"2\\\"><b><i>P</i>value</b></td></tr><tr><td><b>Present (%)</b></td><td><b>Absent (%)</b></td></tr></thead><tbody><tr><td>Total</td><td>471 (42.4)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Morphology of the largest adenoma</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> Non-polypoid lesion</td><td>79 (16.8)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Polypoid lesion</td><td>392 (83.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>>20% Villous features of the largest adenoma</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> Yes</td><td>178 (37.8)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>293 (62.2)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Degree of differentiation of the largest adenoma</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> high grade</td><td>199 (42.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> low grade</td><td>272 (57.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Location of the largest adenoma</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.028</td></tr><tr><td> Right-sided colon</td><td>250 (53.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Left-sided colon</td><td>221 (46.9)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Diameter of the largest adenoma (mm)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> <b>≥</b>10</td><td>300 (63.7)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <10</td><td>171 (36.3)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Number of the removed adenomas</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <b>≥</b>3</td><td>320 (67.9)</td><td>[EMPTY_CELL]</td><td><0.001</td></tr><tr><td> <3</td><td>151 (32.1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Parameters</b>\", \"bbox\": [59, 4, 100, 13]}, {\"cell\": \"<b>Recurrence</b>\", \"bbox\": [288, 4, 328, 13]}, {\"cell\": \"<b><i>P</i>value</b>\", \"bbox\": [458, 4, 484, 13]}, {\"cell\": \"<b>Present (%)</b>\", \"bbox\": [231, 17, 273, 26]}, {\"cell\": \"<b>Absent (%)</b>\", \"bbox\": [345, 17, 385, 26]}, {\"cell\": \"Total\", \"bbox\": [1, 30, 18, 40]}, {\"cell\": \"471 (42.4)\", \"bbox\": [236, 30, 269, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 30, 382, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Morphology of the largest adenoma\", \"bbox\": [1, 44, 119, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [459, 44, 483, 54]}, {\"cell\": \" Non-polypoid lesion\", \"bbox\": [8, 58, 76, 68]}, {\"cell\": \"79 (16.8)\", \"bbox\": [238, 58, 267, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [353, 58, 378, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Polypoid lesion\", \"bbox\": [8, 72, 59, 82]}, {\"cell\": \"392 (83.2)\", \"bbox\": [236, 72, 269, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 72, 382, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \">20% Villous features of the largest adenoma\", \"bbox\": [0, 86, 149, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [459, 86, 483, 96]}, {\"cell\": \" Yes\", \"bbox\": [8, 100, 21, 110]}, {\"cell\": \"178 (37.8)\", \"bbox\": [236, 100, 269, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 100, 382, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" No\", \"bbox\": [8, 114, 20, 124]}, {\"cell\": \"293 (62.2)\", \"bbox\": [236, 114, 269, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 114, 382, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Degree of differentiation of the largest adenoma\", \"bbox\": [0, 128, 159, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [459, 128, 483, 138]}, {\"cell\": \" high grade\", \"bbox\": [8, 142, 46, 152]}, {\"cell\": \"199 (42.3)\", \"bbox\": [236, 142, 269, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 142, 382, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" low grade\", \"bbox\": [8, 156, 43, 166]}, {\"cell\": \"272 (57.7)\", \"bbox\": [236, 156, 269, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 156, 382, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Location of the largest adenoma\", \"bbox\": [0, 170, 108, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.028\", \"bbox\": [462, 170, 480, 180]}, {\"cell\": \" Right-sided colon\", \"bbox\": [8, 184, 67, 194]}, {\"cell\": \"250 (53.1)\", \"bbox\": [236, 184, 269, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 184, 382, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Left-sided colon\", \"bbox\": [8, 198, 62, 208]}, {\"cell\": \"221 (46.9)\", \"bbox\": [236, 198, 269, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 198, 382, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diameter of the largest adenoma (mm)\", \"bbox\": [0, 212, 129, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001\", \"bbox\": [459, 212, 483, 222]}, {\"cell\": \" <b>≥</b>10\", \"bbox\": [8, 226, 23, 236]}, {\"cell\": \"300 (63.7)\", \"bbox\": [236, 226, 269, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 226, 382, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <10\", \"bbox\": [8, 240, 23, 250]}, {\"cell\": \"171 (36.3)\", \"bbox\": [236, 240, 269, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 240, 382, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Number of the removed adenomas\", \"bbox\": [0, 254, 117, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <b>≥</b>3\", \"bbox\": [8, 268, 19, 278]}, {\"cell\": \"320 (67.9)\", \"bbox\": [236, 268, 269, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 268, 382, 278]}, {\"cell\": \"<0.001\", \"bbox\": [459, 268, 483, 278]}, {\"cell\": \" <3\", \"bbox\": [8, 282, 19, 292]}, {\"cell\": \"151 (32.1)\", \"bbox\": [236, 282, 269, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [349, 282, 382, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4287308_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}914{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>CHUV</b></td><td><b>Number (%)HUG</b></td><td><b>CHCVS</b></td><td><b>p*</b></td></tr></thead><tbody><tr><td><b>Age </b>(years)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.68</td></tr><tr><td>Median</td><td>57</td><td>61</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Range</td><td>48 - 73</td><td>41 - 76</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Gender</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.99</td></tr><tr><td>Female</td><td>6 (46)</td><td>7 (26)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Male</td><td>7 (54)</td><td>20 (74)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>GPA</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.50</td></tr><tr><td>Median</td><td>3.0</td><td>2.5</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Range</td><td>2 - 4</td><td>1 - 4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>RPA</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.28</td></tr><tr><td>1</td><td>5 (38)</td><td>8 (30)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>8 (62)</td><td>12 (44)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>0 (0)</td><td>7 (26)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Lung cancer, type</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.03</td></tr><tr><td>Adenocarcinoma</td><td>9 (69)</td><td>17 (63)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>SCC</td><td>1 (23)</td><td>4 (22)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Neuro-endocrine</td><td>3 (8)</td><td>6 (15)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Number of metastasis</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.88</td></tr><tr><td>1</td><td>12 (92)</td><td>22 (82)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2 - 3</td><td>1 (8)</td><td>5 (18)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Brain metastasis</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.13</td></tr><tr><td>Synchronous</td><td>21 (78)</td><td>6 (46)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Metachronous</td><td>6 (22)</td><td>7 (54)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Brain surgery </b>(metastatectomy)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.44</td></tr><tr><td>Yes</td><td>11 (85)</td><td>19 (70)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>No</td><td>2 (15)</td><td>8 (30)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Dose (Gy)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>< 0.01</td></tr><tr><td> ≤ 39</td><td>0</td><td>26</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> > 39</td><td>13</td><td>1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>CHUV</b>\", \"bbox\": [110, 4, 132, 13]}, {\"cell\": \"<b>Number (%)HUG</b>\", \"bbox\": [144, 4, 174, 31]}, {\"cell\": \"<b>CHCVS</b>\", \"bbox\": [185, 4, 210, 13]}, {\"cell\": \"<b>p*</b>\", \"bbox\": [220, 4, 230, 13]}, {\"cell\": \"<b>Age </b>(years)\", \"bbox\": [1, 35, 39, 45]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.68\", \"bbox\": [218, 35, 233, 45]}, {\"cell\": \"Median\", \"bbox\": [1, 47, 26, 57]}, {\"cell\": \"57\", \"bbox\": [116, 47, 126, 57]}, {\"cell\": \"61\", \"bbox\": [154, 47, 164, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 47, 202, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Range\", \"bbox\": [1, 59, 22, 69]}, {\"cell\": \"48 - 73\", \"bbox\": [108, 59, 133, 69]}, {\"cell\": \"41 - 76\", \"bbox\": [147, 59, 172, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 59, 210, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [1, 72, 27, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.99\", \"bbox\": [218, 72, 233, 82]}, {\"cell\": \"Female\", \"bbox\": [1, 84, 25, 94]}, {\"cell\": \"6 (46)\", \"bbox\": [111, 84, 131, 94]}, {\"cell\": \"7 (26)\", \"bbox\": [149, 84, 169, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 84, 208, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Male\", \"bbox\": [1, 96, 18, 106]}, {\"cell\": \"7 (54)\", \"bbox\": [111, 96, 131, 106]}, {\"cell\": \"20 (74)\", \"bbox\": [147, 96, 171, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 96, 208, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>GPA</b>\", \"bbox\": [1, 109, 17, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.50\", \"bbox\": [218, 109, 233, 119]}, {\"cell\": \"Median\", \"bbox\": [1, 121, 26, 131]}, {\"cell\": \"3.0\", \"bbox\": [115, 121, 126, 131]}, {\"cell\": \"2.5\", \"bbox\": [154, 121, 165, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [192, 121, 203, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Range\", \"bbox\": [1, 133, 22, 143]}, {\"cell\": \"2 - 4\", \"bbox\": [112, 133, 130, 143]}, {\"cell\": \"1 - 4\", \"bbox\": [151, 133, 168, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 133, 206, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>RPA</b>\", \"bbox\": [1, 146, 16, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.28\", \"bbox\": [218, 147, 233, 156]}, {\"cell\": \"1\", \"bbox\": [1, 158, 6, 168]}, {\"cell\": \"5 (38)\", \"bbox\": [111, 158, 131, 168]}, {\"cell\": \"8 (30)\", \"bbox\": [149, 158, 169, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 158, 208, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [1, 170, 6, 180]}, {\"cell\": \"8 (62)\", \"bbox\": [111, 170, 131, 180]}, {\"cell\": \"12 (44)\", \"bbox\": [147, 170, 171, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 170, 208, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [1, 182, 6, 192]}, {\"cell\": \"0 (0)\", \"bbox\": [113, 182, 129, 192]}, {\"cell\": \"7 (26)\", \"bbox\": [149, 182, 169, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [185, 182, 210, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Lung cancer, type</b>\", \"bbox\": [1, 196, 63, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.03\", \"bbox\": [218, 196, 233, 205]}, {\"cell\": \"Adenocarcinoma\", \"bbox\": [1, 208, 57, 217]}, {\"cell\": \"9 (69)\", \"bbox\": [111, 208, 131, 217]}, {\"cell\": \"17 (63)\", \"bbox\": [147, 208, 171, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 208, 208, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"SCC\", \"bbox\": [1, 220, 15, 229]}, {\"cell\": \"1 (23)\", \"bbox\": [111, 220, 131, 229]}, {\"cell\": \"4 (22)\", \"bbox\": [149, 220, 169, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 220, 208, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Neuro-endocrine\", \"bbox\": [1, 231, 56, 241]}, {\"cell\": \"3 (8)\", \"bbox\": [113, 231, 129, 241]}, {\"cell\": \"6 (15)\", \"bbox\": [149, 231, 169, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [189, 231, 206, 241]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of metastasis</b>\", \"bbox\": [1, 245, 76, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.88\", \"bbox\": [218, 245, 233, 254]}, {\"cell\": \"1\", \"bbox\": [1, 257, 6, 266]}, {\"cell\": \"12 (92)\", \"bbox\": [109, 257, 133, 266]}, {\"cell\": \"22 (82)\", \"bbox\": [147, 257, 171, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [186, 257, 210, 266]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2 - 3\", \"bbox\": [1, 269, 18, 278]}, {\"cell\": \"1 (8)\", \"bbox\": [113, 269, 129, 278]}, {\"cell\": \"5 (18)\", \"bbox\": [149, 269, 169, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 269, 208, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Brain metastasis</b>\", \"bbox\": [1, 282, 57, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.13\", \"bbox\": [218, 282, 233, 291]}, {\"cell\": \"Synchronous\", \"bbox\": [1, 294, 44, 303]}, {\"cell\": \"21 (78)\", \"bbox\": [109, 294, 133, 303]}, {\"cell\": \"6 (46)\", \"bbox\": [149, 294, 169, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 294, 208, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Metachronous\", \"bbox\": [1, 306, 48, 315]}, {\"cell\": \"6 (22)\", \"bbox\": [111, 306, 131, 315]}, {\"cell\": \"7 (54)\", \"bbox\": [149, 306, 169, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 306, 208, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Brain surgery </b>(metastatectomy)\", \"bbox\": [1, 319, 58, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.44\", \"bbox\": [218, 319, 233, 328]}, {\"cell\": \"Yes\", \"bbox\": [1, 340, 13, 349]}, {\"cell\": \"11 (85)\", \"bbox\": [109, 340, 133, 349]}, {\"cell\": \"19 (70)\", \"bbox\": [147, 340, 171, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 340, 208, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [1, 352, 12, 361]}, {\"cell\": \"2 (15)\", \"bbox\": [111, 352, 131, 361]}, {\"cell\": \"8 (30)\", \"bbox\": [149, 352, 169, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 352, 208, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Dose (Gy)\", \"bbox\": [1, 365, 34, 374]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"< 0.01\", \"bbox\": [214, 365, 236, 374]}, {\"cell\": \" ≤ 39\", \"bbox\": [15, 377, 32, 386]}, {\"cell\": \"0\", \"bbox\": [118, 377, 124, 386]}, {\"cell\": \"26\", \"bbox\": [154, 377, 164, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 377, 201, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" > 39\", \"bbox\": [15, 389, 32, 398]}, {\"cell\": \"13\", \"bbox\": [116, 389, 126, 398]}, {\"cell\": \"1\", \"bbox\": [156, 389, 162, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 389, 202, 398]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2834695_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}915{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene symbol</b></td><td><b>Gene Name</b></td><td><b>mRNA accession number</b></td><td><b>Function</b></td></tr></thead><tbody><tr><td><i>ACTB</i></td><td>Beta-actin</td><td>NM_031144</td><td>[EMPTY_CELL]</td></tr><tr><td><i>ARBP</i></td><td>Acidic ribosomal phosphoprotein P0</td><td>NM_022402</td><td>[EMPTY_CELL]</td></tr><tr><td><i>GAPDH</i></td><td>Glyceraldeyde-3-phosphate dehydrogenase</td><td>NM_017008</td><td>[EMPTY_CELL]</td></tr><tr><td><i>HPRT</i></td><td>Hypoxanthine guanine phosphoribosyl transferase</td><td>NM_012583</td><td>[EMPTY_CELL]</td></tr><tr><td><i>SDHA</i></td><td>Succinate dehydrogenase complex, subunit A, flavoprotein</td><td>NM_130428</td><td>[EMPTY_CELL]</td></tr><tr><td><i>UBC</i></td><td>Ubiquitin C</td><td>NM_017314</td><td>[EMPTY_CELL]</td></tr><tr><td><i>YWHAZ</i></td><td>Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide</td><td>NM_013011</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene symbol</b>\", \"bbox\": [4, 5, 57, 14]}, {\"cell\": \"<b>Gene Name</b>\", \"bbox\": [63, 5, 111, 14]}, {\"cell\": \"<b>mRNA accession number</b>\", \"bbox\": [245, 5, 345, 14]}, {\"cell\": \"<b>Function</b>\", \"bbox\": [351, 5, 387, 14]}, {\"cell\": \"<i>ACTB</i>\", \"bbox\": [4, 27, 24, 35]}, {\"cell\": \"Beta-actin\", \"bbox\": [63, 27, 98, 36]}, {\"cell\": \"NM_031144\", \"bbox\": [245, 27, 289, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 27, 456, 36]}, {\"cell\": \"<i>ARBP</i>\", \"bbox\": [4, 37, 23, 45]}, {\"cell\": \"Acidic ribosomal phosphoprotein P0\", \"bbox\": [63, 37, 187, 47]}, {\"cell\": \"NM_022402\", \"bbox\": [245, 37, 289, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 37, 490, 56]}, {\"cell\": \"<i>GAPDH</i>\", \"bbox\": [4, 57, 31, 64]}, {\"cell\": \"Glyceraldeyde-3-phosphate dehydrogenase\", \"bbox\": [63, 56, 209, 66]}, {\"cell\": \"NM_017008\", \"bbox\": [245, 56, 289, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 56, 414, 66]}, {\"cell\": \"<i>HPRT</i>\", \"bbox\": [4, 67, 24, 75]}, {\"cell\": \"Hypoxanthine guanine phosphoribosyl transferase\", \"bbox\": [63, 67, 231, 76]}, {\"cell\": \"NM_012583\", \"bbox\": [245, 67, 289, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 67, 496, 86]}, {\"cell\": \"<i>SDHA</i>\", \"bbox\": [4, 86, 26, 94]}, {\"cell\": \"Succinate dehydrogenase complex, subunit A, flavoprotein\", \"bbox\": [63, 86, 217, 105]}, {\"cell\": \"NM_130428\", \"bbox\": [245, 86, 289, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 86, 478, 96]}, {\"cell\": \"<i>UBC</i>\", \"bbox\": [4, 106, 20, 114]}, {\"cell\": \"Ubiquitin C\", \"bbox\": [63, 106, 103, 115]}, {\"cell\": \"NM_017314\", \"bbox\": [245, 106, 289, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 106, 496, 115]}, {\"cell\": \"<i>YWHAZ</i>\", \"bbox\": [4, 116, 33, 124]}, {\"cell\": \"Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide\", \"bbox\": [63, 116, 239, 135]}, {\"cell\": \"NM_013011\", \"bbox\": [245, 116, 289, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [351, 116, 457, 126]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2492873_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}916{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Characteristic</b></td><td><b>Total</b></td><td><b>16–20 AIY</b></td><td><b>21–30 AIY</b></td><td><b>31–40 AIY</b></td><td><b>41–50 AIY</b></td><td><b>51–60 AIY</b></td><td><b>>60 AIY</b></td></tr></thead><tbody><tr><td>Male</td><td>50 (59.5)</td><td>[EMPTY_CELL]</td><td>18 (20.5)</td><td>11 (13.3)</td><td>5 (6.0)</td><td>3 (3.6)</td><td>7 (8.4)</td></tr><tr><td>Female</td><td>27 (32.1)</td><td>[EMPTY_CELL]</td><td>8 (8.4)</td><td>8 (9.6)</td><td>1 (1.2)</td><td>4 (4.8)</td><td>1 (1.2)</td></tr><tr><td>Unknown</td><td>7 (8.4)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Nationality</td><td>Swiss</td><td>[EMPTY_CELL]</td><td>East E</td><td>African</td><td>Asian</td><td>Other/Unknown</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>50 (59.2)</td><td>[EMPTY_CELL]</td><td>8 (9.6)</td><td>3 (3.6)</td><td>4 (4.8)</td><td>10 (12)</td><td>[EMPTY_CELL]</td></tr><tr><td>Country of Origin</td><td>L&M-IC</td><td>[EMPTY_CELL]</td><td>Unknown</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>17</td><td>[EMPTY_CELL]</td><td>12</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Year</td><td>2013</td><td>[EMPTY_CELL]</td><td>2015</td><td>2016</td><td>Total</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Total of WPV cases</td><td>17</td><td>[EMPTY_CELL]</td><td>22</td><td>20</td><td>84</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>RR M</td><td>0.4</td><td>[EMPTY_CELL]</td><td>0.29</td><td>0.35</td><td>0.31</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Admission Self-admission Ambulance</td><td>Self-admission</td><td>[EMPTY_CELL]</td><td>Police</td><td>Psychiatrist</td><td>Physician</td><td>Other/Unknown</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>19 (22.9)</td><td>[EMPTY_CELL]</td><td>9 (10.8)</td><td>3 (3.6)</td><td>5 (6.0)</td><td>9 (10.8)</td><td>[EMPTY_CELL]</td></tr><tr><td>Diagnosis</td><td>Psychiatric</td><td>[EMPTY_CELL]</td><td>Intox</td><td>Injury</td><td>Other</td><td>Unknown</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>29 (34.9)</td><td>[EMPTY_CELL]</td><td>11 (17.5)</td><td>12 (19.0)</td><td>18 (21.7)</td><td>6 (7.2)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Characteristic</b>\", \"bbox\": [15, 4, 62, 11]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [93, 4, 112, 11]}, {\"cell\": \"<b>16–20 AIY</b>\", \"bbox\": [138, 4, 173, 11]}, {\"cell\": \"<b>21–30 AIY</b>\", \"bbox\": [185, 4, 220, 11]}, {\"cell\": \"<b>31–40 AIY</b>\", \"bbox\": [232, 4, 267, 11]}, {\"cell\": \"<b>41–50 AIY</b>\", \"bbox\": [279, 4, 314, 11]}, {\"cell\": \"<b>51–60 AIY</b>\", \"bbox\": [332, 4, 367, 11]}, {\"cell\": \"<b>>60 AIY</b>\", \"bbox\": [388, 4, 417, 11]}, {\"cell\": \"Male\", \"bbox\": [29, 17, 47, 26]}, {\"cell\": \"50 (59.5)\", \"bbox\": [88, 17, 117, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 17, 166, 26]}, {\"cell\": \"18 (20.5)\", \"bbox\": [188, 17, 217, 26]}, {\"cell\": \"11 (13.3)\", \"bbox\": [235, 17, 264, 26]}, {\"cell\": \"5 (6.0)\", \"bbox\": [286, 17, 307, 26]}, {\"cell\": \"3 (3.6)\", \"bbox\": [339, 17, 360, 26]}, {\"cell\": \"7 (8.4)\", \"bbox\": [392, 17, 413, 26]}, {\"cell\": \"Female\", \"bbox\": [26, 25, 50, 35]}, {\"cell\": \"27 (32.1)\", \"bbox\": [88, 25, 117, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [145, 25, 166, 35]}, {\"cell\": \"8 (8.4)\", \"bbox\": [192, 25, 213, 35]}, {\"cell\": \"8 (9.6)\", \"bbox\": [239, 25, 260, 35]}, {\"cell\": \"1 (1.2)\", \"bbox\": [286, 25, 307, 35]}, {\"cell\": \"4 (4.8)\", \"bbox\": [339, 25, 360, 35]}, {\"cell\": \"1 (1.2)\", \"bbox\": [392, 25, 413, 35]}, {\"cell\": \"Unknown\", \"bbox\": [21, 34, 55, 43]}, {\"cell\": \"7 (8.4)\", \"bbox\": [92, 34, 113, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Nationality\", \"bbox\": [19, 47, 57, 56]}, {\"cell\": \"Swiss\", \"bbox\": [92, 47, 112, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [138, 47, 172, 56]}, {\"cell\": \"East E\", \"bbox\": [192, 47, 213, 56]}, {\"cell\": \"African\", \"bbox\": [237, 47, 262, 56]}, {\"cell\": \"Asian\", \"bbox\": [286, 47, 307, 56]}, {\"cell\": \"Other/Unknown\", \"bbox\": [322, 47, 378, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50 (59.2)\", \"bbox\": [88, 56, 117, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [143, 56, 168, 65]}, {\"cell\": \"8 (9.6)\", \"bbox\": [192, 56, 213, 65]}, {\"cell\": \"3 (3.6)\", \"bbox\": [239, 56, 260, 65]}, {\"cell\": \"4 (4.8)\", \"bbox\": [286, 56, 307, 65]}, {\"cell\": \"10 (12)\", \"bbox\": [338, 56, 361, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Country of Origin\", \"bbox\": [8, 68, 68, 78]}, {\"cell\": \"L&M-IC\", \"bbox\": [88, 68, 117, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 68, 164, 78]}, {\"cell\": \"Unknown\", \"bbox\": [185, 68, 219, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"17\", \"bbox\": [98, 77, 107, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 77, 160, 86]}, {\"cell\": \"12\", \"bbox\": [198, 77, 207, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Year\", \"bbox\": [30, 90, 46, 99]}, {\"cell\": \"2013\", \"bbox\": [94, 90, 111, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [147, 90, 163, 99]}, {\"cell\": \"2015\", \"bbox\": [194, 90, 211, 99]}, {\"cell\": \"2016\", \"bbox\": [241, 90, 258, 99]}, {\"cell\": \"Total\", \"bbox\": [288, 90, 305, 99]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Total of WPV cases\", \"bbox\": [7, 102, 69, 112]}, {\"cell\": \"17\", \"bbox\": [98, 102, 107, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [151, 102, 160, 112]}, {\"cell\": \"22\", \"bbox\": [198, 102, 207, 112]}, {\"cell\": \"20\", \"bbox\": [245, 102, 254, 112]}, {\"cell\": \"84\", \"bbox\": [292, 102, 301, 112]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"RR M\", \"bbox\": [28, 115, 48, 124]}, {\"cell\": \"0.4\", \"bbox\": [97, 115, 108, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [150, 115, 161, 124]}, {\"cell\": \"0.29\", \"bbox\": [195, 115, 210, 124]}, {\"cell\": \"0.35\", \"bbox\": [242, 115, 257, 124]}, {\"cell\": \"0.31\", \"bbox\": [289, 115, 304, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Admission Self-admission Ambulance\", \"bbox\": [14, 128, 62, 155]}, {\"cell\": \"Self-admission\", \"bbox\": [78, 136, 126, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [136, 136, 175, 146]}, {\"cell\": \"Police\", \"bbox\": [192, 136, 213, 146]}, {\"cell\": \"Psychiatrist\", \"bbox\": [230, 136, 269, 146]}, {\"cell\": \"Physician\", \"bbox\": [280, 136, 313, 146]}, {\"cell\": \"Other/Unknown\", \"bbox\": [322, 136, 378, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"19 (22.9)\", \"bbox\": [88, 154, 117, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 154, 169, 163]}, {\"cell\": \"9 (10.8)\", \"bbox\": [190, 154, 215, 163]}, {\"cell\": \"3 (3.6)\", \"bbox\": [239, 154, 260, 163]}, {\"cell\": \"5 (6.0)\", \"bbox\": [286, 154, 307, 163]}, {\"cell\": \"9 (10.8)\", \"bbox\": [337, 154, 362, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diagnosis\", \"bbox\": [21, 167, 55, 176]}, {\"cell\": \"Psychiatric\", \"bbox\": [84, 167, 121, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [142, 167, 169, 176]}, {\"cell\": \"Intox\", \"bbox\": [193, 167, 212, 176]}, {\"cell\": \"Injury\", \"bbox\": [239, 167, 260, 176]}, {\"cell\": \"Other\", \"bbox\": [286, 167, 307, 176]}, {\"cell\": \"Unknown\", \"bbox\": [332, 167, 366, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"29 (34.9)\", \"bbox\": [88, 175, 117, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [141, 175, 169, 185]}, {\"cell\": \"11 (17.5)\", \"bbox\": [188, 175, 217, 185]}, {\"cell\": \"12 (19.0)\", \"bbox\": [235, 175, 264, 185]}, {\"cell\": \"18 (21.7)\", \"bbox\": [282, 175, 311, 185]}, {\"cell\": \"6 (7.2)\", \"bbox\": [339, 175, 360, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6069438_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}917{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>N</b></td><td><b>OR (95%CI)</b></td><td>[EMPTY_CELL]</td><td><b>N</b></td><td><b>OR (95%CI)</b></td><td>[EMPTY_CELL]</td><td><b>N</b></td><td><b>OR (95%CI)</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\"><b>Rs599839</b></td><td rowspan=\\\"2\\\">ApoB ≥75<sup>th</sup> perc</td><td rowspan=\\\"2\\\">617</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Tot-chol ≥75<sup>th</sup> perc</td><td rowspan=\\\"2\\\">611</td><td>1.72</td><td rowspan=\\\"2\\\">LDL-chol ≥75<sup>th</sup> perc</td><td rowspan=\\\"2\\\">1304</td><td>1.63</td></tr><tr><td>(1.86-2.77)</td><td>(1.40-2.10)</td><td>(1.32-2.01)</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">AG + GG vs AA</td><td rowspan=\\\"2\\\">601</td><td>[EMPTY_CELL]</td><td>AG + GG vs AA</td><td rowspan=\\\"2\\\">562</td><td>1.13</td><td rowspan=\\\"2\\\">AG + GG vs AA</td><td rowspan=\\\"2\\\">188</td><td>1.13</td></tr><tr><td>(1.10-1.64)</td><td>[EMPTY_CELL]</td><td>(0.93-1.37)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Both</td><td rowspan=\\\"2\\\">234</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Both</td><td rowspan=\\\"2\\\">474</td><td>1.80</td><td rowspan=\\\"2\\\">Both</td><td rowspan=\\\"2\\\">474</td><td>1.68</td></tr><tr><td>(1.33-2.34)</td><td>(1.36-2.37)</td><td>(1.24-2.27)</td></tr><tr><td rowspan=\\\"2\\\">S (95%CI)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>0.94</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>0.89</td></tr><tr><td>(0.24-0.90)</td><td>(0.46-1.92)</td><td>(0.38-2.06)</td></tr><tr><td rowspan=\\\"2\\\"><b>Rs646776</b></td><td rowspan=\\\"2\\\">ApoB ≥75<sup>th</sup> perc</td><td rowspan=\\\"2\\\">536</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Tot-chol ≥75th perc</td><td rowspan=\\\"2\\\">582</td><td>1.79</td><td rowspan=\\\"2\\\">LDL-chol ≥75th perc</td><td rowspan=\\\"2\\\">416</td><td>1.54</td></tr><tr><td>(1.76-2.70)</td><td>(1.45-2.20)</td><td>(1.23-1.93)</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">CC + CT vs TT</td><td rowspan=\\\"2\\\">787</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">CC + CT vs TT</td><td rowspan=\\\"2\\\">751</td><td>0.98</td><td rowspan=\\\"2\\\">CC + CT vs TT</td><td rowspan=\\\"2\\\">837</td><td>0.94</td></tr><tr><td>(0.90-1.33)</td><td>(0.81-1.19)</td><td>(0.79-1.13)</td></tr><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Both</td><td rowspan=\\\"2\\\">312</td><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\">Both</td><td rowspan=\\\"2\\\">350</td><td>1.76</td><td rowspan=\\\"2\\\">Both</td><td rowspan=\\\"2\\\">243</td><td>1.68</td></tr><tr><td>(1.38-2.32)</td><td>(1.37-2.25)</td><td>(1.27-2.23)</td></tr><tr><td>S (95%CI)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.97</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>1.39</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.50-1.89)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(0.53-3.63)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N</b>\", \"bbox\": [115, 4, 122, 13]}, {\"cell\": \"<b>OR (95%CI)</b>\", \"bbox\": [135, 4, 176, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N</b>\", \"bbox\": [266, 4, 273, 13]}, {\"cell\": \"<b>OR (95%CI)</b>\", \"bbox\": [286, 4, 327, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N</b>\", \"bbox\": [421, 4, 428, 13]}, {\"cell\": \"<b>OR (95%CI)</b>\", \"bbox\": [443, 4, 484, 13]}, {\"cell\": \"<b>Rs599839</b>\", \"bbox\": [1, 17, 36, 26]}, {\"cell\": \"ApoB ≥75<sup>th</sup> perc\", \"bbox\": [46, 15, 102, 26]}, {\"cell\": \"617\", \"bbox\": [112, 17, 125, 26]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 17, 163, 26]}, {\"cell\": \"Tot-chol ≥75<sup>th</sup> perc\", \"bbox\": [187, 15, 252, 26]}, {\"cell\": \"611\", \"bbox\": [263, 17, 276, 26]}, {\"cell\": \"1.72\", \"bbox\": [299, 17, 314, 26]}, {\"cell\": \"LDL-chol ≥75<sup>th</sup> perc\", \"bbox\": [338, 15, 405, 26]}, {\"cell\": \"1304\", \"bbox\": [416, 17, 433, 26]}, {\"cell\": \"1.63\", \"bbox\": [457, 17, 471, 26]}, {\"cell\": \"(1.86-2.77)\", \"bbox\": [139, 31, 173, 40]}, {\"cell\": \"(1.40-2.10)\", \"bbox\": [290, 31, 324, 40]}, {\"cell\": \"(1.32-2.01)\", \"bbox\": [447, 31, 481, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AG + GG vs AA\", \"bbox\": [49, 45, 99, 54]}, {\"cell\": \"601\", \"bbox\": [112, 45, 125, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 45, 163, 54]}, {\"cell\": \"AG + GG vs AA\", \"bbox\": [195, 45, 244, 54]}, {\"cell\": \"562\", \"bbox\": [263, 45, 276, 54]}, {\"cell\": \"1.13\", \"bbox\": [299, 45, 314, 54]}, {\"cell\": \"AG + GG vs AA\", \"bbox\": [347, 45, 397, 54]}, {\"cell\": \"188\", \"bbox\": [418, 45, 431, 54]}, {\"cell\": \"1.13\", \"bbox\": [457, 45, 471, 54]}, {\"cell\": \"(1.10-1.64)\", \"bbox\": [139, 59, 173, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.93-1.37)\", \"bbox\": [290, 59, 324, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [447, 59, 481, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Both\", \"bbox\": [65, 73, 82, 82]}, {\"cell\": \"234\", \"bbox\": [112, 73, 125, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 73, 163, 82]}, {\"cell\": \"Both\", \"bbox\": [211, 73, 228, 82]}, {\"cell\": \"474\", \"bbox\": [263, 73, 276, 82]}, {\"cell\": \"1.80\", \"bbox\": [299, 73, 314, 82]}, {\"cell\": \"Both\", \"bbox\": [363, 73, 380, 82]}, {\"cell\": \"474\", \"bbox\": [418, 73, 431, 82]}, {\"cell\": \"1.68\", \"bbox\": [457, 73, 471, 82]}, {\"cell\": \"(1.33-2.34)\", \"bbox\": [139, 87, 173, 96]}, {\"cell\": \"(1.36-2.37)\", \"bbox\": [290, 87, 324, 96]}, {\"cell\": \"(1.24-2.27)\", \"bbox\": [447, 87, 481, 96]}, {\"cell\": \"S (95%CI)\", \"bbox\": [1, 101, 32, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 101, 163, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.94\", \"bbox\": [300, 101, 314, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.89\", \"bbox\": [457, 101, 471, 110]}, {\"cell\": \"(0.24-0.90)\", \"bbox\": [139, 115, 173, 124]}, {\"cell\": \"(0.46-1.92)\", \"bbox\": [290, 115, 324, 124]}, {\"cell\": \"(0.38-2.06)\", \"bbox\": [447, 115, 481, 124]}, {\"cell\": \"<b>Rs646776</b>\", \"bbox\": [1, 129, 36, 138]}, {\"cell\": \"ApoB ≥75<sup>th</sup> perc\", \"bbox\": [46, 127, 102, 138]}, {\"cell\": \"536\", \"bbox\": [112, 129, 125, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 129, 163, 138]}, {\"cell\": \"Tot-chol ≥75th perc\", \"bbox\": [186, 129, 253, 138]}, {\"cell\": \"582\", \"bbox\": [263, 129, 276, 138]}, {\"cell\": \"1.79\", \"bbox\": [299, 129, 314, 138]}, {\"cell\": \"LDL-chol ≥75th perc\", \"bbox\": [337, 129, 406, 138]}, {\"cell\": \"416\", \"bbox\": [418, 129, 431, 138]}, {\"cell\": \"1.54\", \"bbox\": [457, 129, 471, 138]}, {\"cell\": \"(1.76-2.70)\", \"bbox\": [139, 143, 173, 152]}, {\"cell\": \"(1.45-2.20)\", \"bbox\": [290, 143, 324, 152]}, {\"cell\": \"(1.23-1.93)\", \"bbox\": [447, 143, 481, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CC + CT vs TT\", \"bbox\": [51, 157, 97, 166]}, {\"cell\": \"787\", \"bbox\": [112, 157, 125, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 157, 163, 166]}, {\"cell\": \"CC + CT vs TT\", \"bbox\": [197, 157, 242, 166]}, {\"cell\": \"751\", \"bbox\": [263, 157, 276, 166]}, {\"cell\": \"0.98\", \"bbox\": [299, 157, 314, 166]}, {\"cell\": \"CC + CT vs TT\", \"bbox\": [349, 157, 395, 166]}, {\"cell\": \"837\", \"bbox\": [418, 157, 431, 166]}, {\"cell\": \"0.94\", \"bbox\": [457, 157, 471, 166]}, {\"cell\": \"(0.90-1.33)\", \"bbox\": [139, 171, 173, 180]}, {\"cell\": \"(0.81-1.19)\", \"bbox\": [290, 171, 324, 180]}, {\"cell\": \"(0.79-1.13)\", \"bbox\": [447, 171, 481, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Both\", \"bbox\": [65, 185, 82, 194]}, {\"cell\": \"312\", \"bbox\": [112, 185, 125, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 185, 163, 194]}, {\"cell\": \"Both\", \"bbox\": [211, 185, 228, 194]}, {\"cell\": \"350\", \"bbox\": [263, 185, 276, 194]}, {\"cell\": \"1.76\", \"bbox\": [299, 185, 314, 194]}, {\"cell\": \"Both\", \"bbox\": [363, 185, 380, 194]}, {\"cell\": \"243\", \"bbox\": [418, 185, 431, 194]}, {\"cell\": \"1.68\", \"bbox\": [457, 185, 471, 194]}, {\"cell\": \"(1.38-2.32)\", \"bbox\": [139, 199, 173, 208]}, {\"cell\": \"(1.37-2.25)\", \"bbox\": [290, 199, 324, 208]}, {\"cell\": \"(1.27-2.23)\", \"bbox\": [447, 199, 481, 208]}, {\"cell\": \"S (95%CI)\", \"bbox\": [1, 213, 32, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 213, 163, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.97\", \"bbox\": [299, 213, 314, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.39\", \"bbox\": [457, 213, 471, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [139, 227, 173, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.50-1.89)\", \"bbox\": [290, 227, 324, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(0.53-3.63)\", \"bbox\": [447, 227, 481, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3480949_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}918{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Month</b></td><td colspan=\\\"4\\\"><b>≥ 65 years (n = 308,952)</b></td><td colspan=\\\"4\\\"><b>30 to < 65 years (n = 317,998)</b></td></tr><tr><td><b>No.</b></td><td><b>Death rate (%)</b></td><td><b>RRs (95% CI)<sup>*</sup></b></td><td><b><i>P</i>-value</b></td><td><b>No.</b></td><td><b>Death rate (%)</b></td><td><b>RRs (95% CI)<sup>*</sup></b></td><td><b><i>P</i>-value</b></td></tr></thead><tbody><tr><td>January</td><td>23,912</td><td>5.0</td><td>1.49 (1.36, 1.63)</td><td>< 0.01</td><td>23,244</td><td>1.3</td><td>[EMPTY_CELL]</td><td>0.43</td></tr><tr><td>February</td><td>23,054</td><td>4.6</td><td>1.39 (1.27, 1.52)</td><td>< 0.01</td><td>22,266</td><td>1.3</td><td>[EMPTY_CELL]</td><td>0.82</td></tr><tr><td>March</td><td>28,587</td><td>3.5</td><td>1.06 (0.96, 1.16)</td><td>0.24</td><td>30,463</td><td>1.0</td><td>[EMPTY_CELL]</td><td>0.07</td></tr><tr><td>April</td><td>27,745</td><td>3.9</td><td>1.18 (1.08, 1.29)</td><td>< 0.01</td><td>27,770</td><td>1.2</td><td>[EMPTY_CELL]</td><td>0.91</td></tr><tr><td>May<sup>†</sup></td><td>26,758</td><td>3.3</td><td>Reference</td><td>[EMPTY_CELL]</td><td>27,248</td><td>1.2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>June</td><td>24,555</td><td>3.5</td><td>1.03 (0.94, 1.14)</td><td>0.51</td><td>25,270</td><td>1.1</td><td>[EMPTY_CELL]</td><td>0.29</td></tr><tr><td>July</td><td>23,689</td><td>3.7</td><td>1.10 (1.00, 1.21)</td><td>0.05</td><td>25,376</td><td>1.1</td><td>[EMPTY_CELL]</td><td>0.15</td></tr><tr><td>August</td><td>23,695</td><td>3.7</td><td>1.09 (0.99, 1.19)</td><td>0.09</td><td>25,120</td><td>1.2</td><td>[EMPTY_CELL]</td><td>0.30</td></tr><tr><td>September</td><td>24,213</td><td>4.0</td><td>1.19 (1.08, 1.30)</td><td>< 0.01</td><td>24,395</td><td>1.3</td><td>[EMPTY_CELL]</td><td>0.79</td></tr><tr><td>October</td><td>28,006</td><td>4.2</td><td>1.26 (1.15, 1.37)</td><td>< 0.01</td><td>28,149</td><td>1.3</td><td>[EMPTY_CELL]</td><td>0.53</td></tr><tr><td>November</td><td>28,027</td><td>4.3</td><td>1.29 (1.18, 1.41)</td><td>< 0.01</td><td>30,110</td><td>1.3</td><td>[EMPTY_CELL]</td><td>0.45</td></tr><tr><td>December</td><td>26,711</td><td>4.5</td><td>1.35 (1.24, 1.48)</td><td>< 0.01</td><td>28,587</td><td>1.2</td><td>[EMPTY_CELL]</td><td>0.86</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Month</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>≥ 65 years (n = 308,952)</b>\", \"bbox\": [116, 4, 200, 13]}, {\"cell\": \"<b>30 to < 65 years (n = 317,998)</b>\", \"bbox\": [329, 4, 434, 13]}, {\"cell\": \"<b>No.</b>\", \"bbox\": [60, 17, 73, 27]}, {\"cell\": \"<b>Death rate (%)</b>\", \"bbox\": [95, 17, 148, 27]}, {\"cell\": \"<b>RRs (95% CI)<sup>*</sup></b>\", \"bbox\": [167, 15, 215, 27]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [234, 17, 261, 27]}, {\"cell\": \"<b>No.</b>\", \"bbox\": [283, 17, 297, 27]}, {\"cell\": \"<b>Death rate (%)</b>\", \"bbox\": [319, 17, 371, 27]}, {\"cell\": \"<b>RRs (95% CI)<sup>*</sup></b>\", \"bbox\": [390, 15, 438, 27]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [457, 17, 484, 27]}, {\"cell\": \"January\", \"bbox\": [1, 30, 27, 40]}, {\"cell\": \"23,912\", \"bbox\": [55, 30, 78, 40]}, {\"cell\": \"5.0\", \"bbox\": [116, 30, 127, 40]}, {\"cell\": \"1.49 (1.36, 1.63)\", \"bbox\": [165, 30, 216, 40]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 30, 258, 40]}, {\"cell\": \"23,244\", \"bbox\": [279, 30, 301, 40]}, {\"cell\": \"1.3\", \"bbox\": [339, 30, 350, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 30, 439, 40]}, {\"cell\": \"0.43\", \"bbox\": [463, 30, 478, 40]}, {\"cell\": \"February\", \"bbox\": [1, 44, 30, 54]}, {\"cell\": \"23,054\", \"bbox\": [55, 44, 78, 54]}, {\"cell\": \"4.6\", \"bbox\": [116, 44, 127, 54]}, {\"cell\": \"1.39 (1.27, 1.52)\", \"bbox\": [165, 44, 216, 54]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 44, 258, 54]}, {\"cell\": \"22,266\", \"bbox\": [279, 44, 301, 54]}, {\"cell\": \"1.3\", \"bbox\": [339, 44, 350, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 44, 439, 54]}, {\"cell\": \"0.82\", \"bbox\": [463, 44, 478, 54]}, {\"cell\": \"March\", \"bbox\": [1, 58, 22, 68]}, {\"cell\": \"28,587\", \"bbox\": [55, 58, 78, 68]}, {\"cell\": \"3.5\", \"bbox\": [116, 58, 127, 68]}, {\"cell\": \"1.06 (0.96, 1.16)\", \"bbox\": [165, 58, 216, 68]}, {\"cell\": \"0.24\", \"bbox\": [240, 58, 255, 68]}, {\"cell\": \"30,463\", \"bbox\": [279, 58, 301, 68]}, {\"cell\": \"1.0\", \"bbox\": [339, 58, 350, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 58, 439, 68]}, {\"cell\": \"0.07\", \"bbox\": [463, 58, 478, 68]}, {\"cell\": \"April\", \"bbox\": [1, 72, 17, 82]}, {\"cell\": \"27,745\", \"bbox\": [55, 72, 78, 82]}, {\"cell\": \"3.9\", \"bbox\": [116, 72, 127, 82]}, {\"cell\": \"1.18 (1.08, 1.29)\", \"bbox\": [165, 72, 216, 82]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 72, 258, 82]}, {\"cell\": \"27,770\", \"bbox\": [279, 72, 301, 82]}, {\"cell\": \"1.2\", \"bbox\": [339, 72, 350, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 72, 439, 82]}, {\"cell\": \"0.91\", \"bbox\": [463, 72, 478, 82]}, {\"cell\": \"May<sup>†</sup>\", \"bbox\": [1, 85, 19, 96]}, {\"cell\": \"26,758\", \"bbox\": [55, 86, 78, 96]}, {\"cell\": \"3.3\", \"bbox\": [116, 86, 127, 96]}, {\"cell\": \"Reference\", \"bbox\": [174, 86, 207, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"27,248\", \"bbox\": [279, 86, 301, 96]}, {\"cell\": \"1.2\", \"bbox\": [339, 86, 350, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [397, 86, 431, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"June\", \"bbox\": [1, 100, 17, 110]}, {\"cell\": \"24,555\", \"bbox\": [55, 100, 78, 110]}, {\"cell\": \"3.5\", \"bbox\": [116, 100, 127, 110]}, {\"cell\": \"1.03 (0.94, 1.14)\", \"bbox\": [165, 100, 216, 110]}, {\"cell\": \"0.51\", \"bbox\": [240, 100, 255, 110]}, {\"cell\": \"25,270\", \"bbox\": [279, 100, 301, 110]}, {\"cell\": \"1.1\", \"bbox\": [339, 100, 350, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 100, 439, 110]}, {\"cell\": \"0.29\", \"bbox\": [463, 100, 478, 110]}, {\"cell\": \"July\", \"bbox\": [1, 114, 15, 124]}, {\"cell\": \"23,689\", \"bbox\": [55, 114, 78, 124]}, {\"cell\": \"3.7\", \"bbox\": [116, 114, 127, 124]}, {\"cell\": \"1.10 (1.00, 1.21)\", \"bbox\": [165, 114, 216, 124]}, {\"cell\": \"0.05\", \"bbox\": [240, 114, 255, 124]}, {\"cell\": \"25,376\", \"bbox\": [279, 114, 301, 124]}, {\"cell\": \"1.1\", \"bbox\": [339, 114, 350, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 114, 439, 124]}, {\"cell\": \"0.15\", \"bbox\": [463, 114, 478, 124]}, {\"cell\": \"August\", \"bbox\": [1, 128, 25, 138]}, {\"cell\": \"23,695\", \"bbox\": [55, 128, 78, 138]}, {\"cell\": \"3.7\", \"bbox\": [116, 128, 127, 138]}, {\"cell\": \"1.09 (0.99, 1.19)\", \"bbox\": [165, 128, 216, 138]}, {\"cell\": \"0.09\", \"bbox\": [240, 128, 255, 138]}, {\"cell\": \"25,120\", \"bbox\": [279, 128, 301, 138]}, {\"cell\": \"1.2\", \"bbox\": [339, 128, 350, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 128, 439, 138]}, {\"cell\": \"0.30\", \"bbox\": [463, 128, 478, 138]}, {\"cell\": \"September\", \"bbox\": [1, 142, 37, 152]}, {\"cell\": \"24,213\", \"bbox\": [55, 142, 78, 152]}, {\"cell\": \"4.0\", \"bbox\": [116, 142, 127, 152]}, {\"cell\": \"1.19 (1.08, 1.30)\", \"bbox\": [165, 142, 216, 152]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 142, 258, 152]}, {\"cell\": \"24,395\", \"bbox\": [279, 142, 301, 152]}, {\"cell\": \"1.3\", \"bbox\": [339, 142, 350, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 142, 439, 152]}, {\"cell\": \"0.79\", \"bbox\": [463, 142, 478, 152]}, {\"cell\": \"October\", \"bbox\": [1, 156, 28, 166]}, {\"cell\": \"28,006\", \"bbox\": [55, 156, 78, 166]}, {\"cell\": \"4.2\", \"bbox\": [116, 156, 127, 166]}, {\"cell\": \"1.26 (1.15, 1.37)\", \"bbox\": [165, 156, 216, 166]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 156, 258, 166]}, {\"cell\": \"28,149\", \"bbox\": [279, 156, 301, 166]}, {\"cell\": \"1.3\", \"bbox\": [339, 156, 350, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 156, 439, 166]}, {\"cell\": \"0.53\", \"bbox\": [463, 156, 478, 166]}, {\"cell\": \"November\", \"bbox\": [1, 170, 36, 180]}, {\"cell\": \"28,027\", \"bbox\": [55, 170, 78, 180]}, {\"cell\": \"4.3\", \"bbox\": [116, 170, 127, 180]}, {\"cell\": \"1.29 (1.18, 1.41)\", \"bbox\": [165, 170, 216, 180]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 170, 258, 180]}, {\"cell\": \"30,110\", \"bbox\": [279, 170, 301, 180]}, {\"cell\": \"1.3\", \"bbox\": [339, 170, 350, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 170, 439, 180]}, {\"cell\": \"0.45\", \"bbox\": [463, 170, 478, 180]}, {\"cell\": \"December\", \"bbox\": [1, 184, 36, 194]}, {\"cell\": \"26,711\", \"bbox\": [55, 184, 78, 194]}, {\"cell\": \"4.5\", \"bbox\": [116, 184, 127, 194]}, {\"cell\": \"1.35 (1.24, 1.48)\", \"bbox\": [165, 184, 216, 194]}, {\"cell\": \"< 0.01\", \"bbox\": [237, 184, 258, 194]}, {\"cell\": \"28,587\", \"bbox\": [279, 184, 301, 194]}, {\"cell\": \"1.2\", \"bbox\": [339, 184, 350, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [389, 184, 439, 194]}, {\"cell\": \"0.86\", \"bbox\": [463, 184, 478, 194]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3840603_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}919{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>LIS</b></td><td><b>CTR1</b></td><td><b>DMTU</b></td><td><b>CTR2</b></td></tr></thead><tbody><tr><td>Number of Rats</td><td>[EMPTY_CELL]</td><td>7</td><td>8</td><td>7</td></tr><tr><td>Age (<i>weak</i>)</td><td>[EMPTY_CELL]</td><td>28.80 ± 2.72</td><td>17.71 ± 0.52</td><td>18.62 ± 0.67</td></tr><tr><td>GBM Thickness, δ<sub>bm</sub> × 10<sup>-4</sup> (<i>cm</i>)</td><td>[EMPTY_CELL]</td><td>6.16 ± 0.95</td><td>5.08 ± 1.60</td><td>5.43 ± 1.31</td></tr><tr><td>Albumin Diffusivity, D × 10<sup>-7</sup> (<i>cm</i><sup>2</sup>·<i>sec</i><sup>-1</sup>)</td><td>[EMPTY_CELL]</td><td>5.82 ± 0.11</td><td>5.60 ± 0.17</td><td>5.82 ± 0.02</td></tr><tr><td>Albumin Permeability, P<sub>s</sub> × 10<sup>-4</sup> (<i>cm·sec</i><sup>-1</sup>)</td><td>[EMPTY_CELL]</td><td>9.63 ± 1.52</td><td>11.70 ± 3.23</td><td>11.11 ± 2.45</td></tr><tr><td>Albumin concentration difference, ΔC (<i>g·dL</i><sup>-1</sup>)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>50 mmHg</td><td>[EMPTY_CELL]</td><td>4.59 ± 1.15</td><td>6.52 ± 0.87</td><td>5.67 ± 0.17</td></tr><tr><td>100 mmHg</td><td>[EMPTY_CELL]</td><td>5.02 ± 1.51</td><td>6.77 ± 0.42</td><td>5.43 ± 0.26</td></tr><tr><td>200 mmHg</td><td>[EMPTY_CELL]</td><td>5.15 ± 0.96a</td><td>7.26 ± 0.77a,b</td><td>6.52 ± 0.46a,b</td></tr><tr><td>300 mmHg</td><td>[EMPTY_CELL]</td><td>5.51 ± 1.14a,b</td><td>6.82 ± 1.02a</td><td>6.07 ± 0.36a,b</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>LIS</b>\", \"bbox\": [256, 6, 273, 14]}, {\"cell\": \"<b>CTR1</b>\", \"bbox\": [320, 6, 346, 14]}, {\"cell\": \"<b>DMTU</b>\", \"bbox\": [390, 6, 420, 14]}, {\"cell\": \"<b>CTR2</b>\", \"bbox\": [463, 6, 489, 14]}, {\"cell\": \"Number of Rats\", \"bbox\": [29, 18, 89, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [261, 18, 268, 32]}, {\"cell\": \"7\", \"bbox\": [330, 18, 336, 32]}, {\"cell\": \"8\", \"bbox\": [401, 18, 408, 32]}, {\"cell\": \"7\", \"bbox\": [473, 18, 480, 32]}, {\"cell\": \"Age (<i>weak</i>)\", \"bbox\": [29, 34, 72, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 34, 287, 48]}, {\"cell\": \"28.80 ± 2.72\", \"bbox\": [310, 34, 357, 48]}, {\"cell\": \"17.71 ± 0.52\", \"bbox\": [382, 34, 427, 48]}, {\"cell\": \"18.62 ± 0.67\", \"bbox\": [453, 34, 499, 48]}, {\"cell\": \"GBM Thickness, δ<sub>bm</sub> × 10<sup>-4</sup> (<i>cm</i>)\", \"bbox\": [29, 49, 148, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 49, 286, 63]}, {\"cell\": \"6.16 ± 0.95\", \"bbox\": [312, 49, 354, 63]}, {\"cell\": \"5.08 ± 1.60\", \"bbox\": [384, 49, 426, 63]}, {\"cell\": \"5.43 ± 1.31\", \"bbox\": [456, 49, 497, 63]}, {\"cell\": \"Albumin Diffusivity, D × 10<sup>-7</sup> (<i>cm</i><sup>2</sup>·<i>sec</i><sup>-1</sup>)\", \"bbox\": [29, 65, 180, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 65, 285, 79]}, {\"cell\": \"5.82 ± 0.11\", \"bbox\": [312, 65, 354, 79]}, {\"cell\": \"5.60 ± 0.17\", \"bbox\": [384, 65, 425, 79]}, {\"cell\": \"5.82 ± 0.02\", \"bbox\": [455, 65, 498, 79]}, {\"cell\": \"Albumin Permeability, P<sub>s</sub> × 10<sup>-4</sup> (<i>cm·sec</i><sup>-1</sup>)\", \"bbox\": [29, 80, 184, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 80, 288, 94]}, {\"cell\": \"9.63 ± 1.52\", \"bbox\": [312, 80, 354, 94]}, {\"cell\": \"11.70 ± 3.23\", \"bbox\": [382, 80, 427, 94]}, {\"cell\": \"11.11 ± 2.45\", \"bbox\": [454, 80, 499, 94]}, {\"cell\": \"Albumin concentration difference, ΔC (<i>g·dL</i><sup>-1</sup>)\", \"bbox\": [29, 96, 201, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50 mmHg\", \"bbox\": [29, 111, 68, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 111, 286, 125]}, {\"cell\": \"4.59 ± 1.15\", \"bbox\": [312, 111, 354, 125]}, {\"cell\": \"6.52 ± 0.87\", \"bbox\": [383, 111, 426, 125]}, {\"cell\": \"5.67 ± 0.17\", \"bbox\": [456, 111, 497, 125]}, {\"cell\": \"100 mmHg\", \"bbox\": [29, 127, 72, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 127, 287, 141]}, {\"cell\": \"5.02 ± 1.51\", \"bbox\": [312, 127, 354, 141]}, {\"cell\": \"6.77 ± 0.42\", \"bbox\": [384, 127, 426, 141]}, {\"cell\": \"5.43 ± 0.26\", \"bbox\": [455, 127, 497, 141]}, {\"cell\": \"200 mmHg\", \"bbox\": [29, 142, 72, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [242, 142, 287, 156]}, {\"cell\": \"5.15 ± 0.96a\", \"bbox\": [311, 142, 355, 156]}, {\"cell\": \"7.26 ± 0.77a,b\", \"bbox\": [381, 142, 429, 156]}, {\"cell\": \"6.52 ± 0.46a,b\", \"bbox\": [452, 142, 501, 156]}, {\"cell\": \"300 mmHg\", \"bbox\": [29, 158, 72, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 158, 286, 172]}, {\"cell\": \"5.51 ± 1.14a,b\", \"bbox\": [309, 158, 357, 172]}, {\"cell\": \"6.82 ± 1.02a\", \"bbox\": [382, 158, 427, 172]}, {\"cell\": \"6.07 ± 0.36a,b\", \"bbox\": [452, 158, 501, 172]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3614589_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}920{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>SNP name</b></td><td rowspan=\\\"2\\\"><b>Chr.</b></td><td colspan=\\\"3\\\"><b>Nearest genes<sup>a</sup></b></td><td rowspan=\\\"2\\\"><b><i>P-</i>values</b></td></tr><tr><td><b>Name</b></td><td><b>Distance(bp)</b></td><td><b>Full name</b></td></tr></thead><tbody><tr><td>ARS-BFGL-NGS-32524</td><td>0<sup>b</sup></td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>4.79E-07</td></tr><tr><td>ARS-BFGL-NGS-18858</td><td>0<sup>b</sup></td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>7.00E-07</td></tr><tr><td>BFGL-NGS-114657</td><td>0<sup>b</sup></td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>6.61E-07</td></tr><tr><td>ARS-BFGL-NGS-3540</td><td>11</td><td>[EMPTY_CELL]</td><td>359533</td><td>C1D nuclear receptor corepressor</td><td>6.99E-07</td></tr><tr><td>Hapmap39693-BTA-85506</td><td>11</td><td>[EMPTY_CELL]</td><td>51033</td><td>mediator of cell motility 1</td><td>1.09E-06</td></tr><tr><td>ARS-BFGL-NGS-100480</td><td>14</td><td>[EMPTY_CELL]</td><td>within</td><td>trafficking protein particle complex 9</td><td>1.24E-10</td></tr><tr><td>ARS-BFGL-NGS-4939</td><td>14</td><td>[EMPTY_CELL]</td><td>258178</td><td>Rho GTPase activating protein 39</td><td>9.97E-10</td></tr><tr><td>ARS-BFGL-NGS-107379</td><td>14</td><td>[EMPTY_CELL]</td><td>460</td><td>Rho GTPase activating protein 39</td><td>1.63E-09</td></tr><tr><td>ARS-BFGL-NGS-57820</td><td>14</td><td>[EMPTY_CELL]</td><td>50773</td><td>Rho GTPase activating protein 39</td><td>1.97E-09</td></tr><tr><td>ARS-BFGL-NGS-56327</td><td>14</td><td>[EMPTY_CELL]</td><td>within</td><td>trafficking protein particle complex 9</td><td>3.29E-08</td></tr><tr><td>UA-IFASA-5306</td><td>14</td><td>[EMPTY_CELL]</td><td>within</td><td>trafficking protein particle complex 9</td><td>3.64E-08</td></tr><tr><td>UA-IFASA-9288</td><td>14</td><td>[EMPTY_CELL]</td><td>within</td><td>PTK2 protein tyrosine kinase 2</td><td>8.29E-08</td></tr><tr><td>Hapmap56639-rs29021780</td><td>X</td><td>[EMPTY_CELL]</td><td>within</td><td>glutamate receptor, ionotrophic, AMPA 3</td><td>1.34E-07</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>SNP name</b>\", \"bbox\": [1, 4, 36, 13]}, {\"cell\": \"<b>Chr.</b>\", \"bbox\": [116, 4, 130, 13]}, {\"cell\": \"<b>Nearest genes<sup>a</sup></b>\", \"bbox\": [159, 2, 209, 13]}, {\"cell\": \"<b><i>P-</i>values</b>\", \"bbox\": [456, 4, 484, 13]}, {\"cell\": \"<b>Name</b>\", \"bbox\": [159, 17, 180, 27]}, {\"cell\": \"<b>Distance(bp)</b>\", \"bbox\": [223, 17, 265, 27]}, {\"cell\": \"<b>Full name</b>\", \"bbox\": [293, 17, 327, 27]}, {\"cell\": \"ARS-BFGL-NGS-32524\", \"bbox\": [1, 30, 71, 40]}, {\"cell\": \"0<sup>b</sup>\", \"bbox\": [116, 29, 125, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 30, 171, 40]}, {\"cell\": \"NA\", \"bbox\": [223, 30, 234, 40]}, {\"cell\": \"NA\", \"bbox\": [293, 30, 305, 40]}, {\"cell\": \"4.79E-07\", \"bbox\": [456, 30, 484, 40]}, {\"cell\": \"ARS-BFGL-NGS-18858\", \"bbox\": [1, 44, 71, 54]}, {\"cell\": \"0<sup>b</sup>\", \"bbox\": [116, 43, 125, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 44, 171, 54]}, {\"cell\": \"NA\", \"bbox\": [223, 44, 234, 54]}, {\"cell\": \"NA\", \"bbox\": [293, 44, 305, 54]}, {\"cell\": \"7.00E-07\", \"bbox\": [456, 44, 484, 54]}, {\"cell\": \"BFGL-NGS-114657\", \"bbox\": [1, 58, 60, 68]}, {\"cell\": \"0<sup>b</sup>\", \"bbox\": [116, 57, 125, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 58, 171, 68]}, {\"cell\": \"NA\", \"bbox\": [223, 58, 234, 68]}, {\"cell\": \"NA\", \"bbox\": [293, 58, 305, 68]}, {\"cell\": \"6.61E-07\", \"bbox\": [456, 58, 484, 68]}, {\"cell\": \"ARS-BFGL-NGS-3540\", \"bbox\": [1, 72, 67, 82]}, {\"cell\": \"11\", \"bbox\": [116, 72, 125, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 73, 174, 80]}, {\"cell\": \"359533\", \"bbox\": [223, 72, 248, 82]}, {\"cell\": \"C1D nuclear receptor corepressor\", \"bbox\": [293, 72, 403, 82]}, {\"cell\": \"6.99E-07\", \"bbox\": [456, 72, 484, 82]}, {\"cell\": \"Hapmap39693-BTA-85506\", \"bbox\": [0, 86, 85, 96]}, {\"cell\": \"11\", \"bbox\": [116, 86, 125, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 87, 185, 94]}, {\"cell\": \"51033\", \"bbox\": [223, 86, 244, 96]}, {\"cell\": \"mediator of cell motility 1\", \"bbox\": [293, 86, 379, 96]}, {\"cell\": \"1.09E-06\", \"bbox\": [456, 86, 484, 96]}, {\"cell\": \"ARS-BFGL-NGS-100480\", \"bbox\": [0, 100, 74, 110]}, {\"cell\": \"14\", \"bbox\": [116, 100, 125, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 100, 188, 108]}, {\"cell\": \"within\", \"bbox\": [223, 100, 245, 110]}, {\"cell\": \"trafficking protein particle complex 9\", \"bbox\": [293, 100, 414, 110]}, {\"cell\": \"1.24E-10\", \"bbox\": [456, 100, 484, 110]}, {\"cell\": \"ARS-BFGL-NGS-4939\", \"bbox\": [0, 114, 67, 124]}, {\"cell\": \"14\", \"bbox\": [116, 114, 125, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 114, 194, 122]}, {\"cell\": \"258178\", \"bbox\": [223, 114, 248, 124]}, {\"cell\": \"Rho GTPase activating protein 39\", \"bbox\": [293, 114, 402, 124]}, {\"cell\": \"9.97E-10\", \"bbox\": [456, 114, 484, 124]}, {\"cell\": \"ARS-BFGL-NGS-107379\", \"bbox\": [0, 128, 74, 138]}, {\"cell\": \"14\", \"bbox\": [116, 128, 125, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 128, 194, 136]}, {\"cell\": \"460\", \"bbox\": [223, 128, 236, 138]}, {\"cell\": \"Rho GTPase activating protein 39\", \"bbox\": [293, 128, 402, 138]}, {\"cell\": \"1.63E-09\", \"bbox\": [456, 128, 484, 138]}, {\"cell\": \"ARS-BFGL-NGS-57820\", \"bbox\": [0, 142, 71, 152]}, {\"cell\": \"14\", \"bbox\": [116, 142, 125, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 142, 194, 150]}, {\"cell\": \"50773\", \"bbox\": [223, 142, 244, 152]}, {\"cell\": \"Rho GTPase activating protein 39\", \"bbox\": [293, 142, 402, 152]}, {\"cell\": \"1.97E-09\", \"bbox\": [456, 142, 484, 152]}, {\"cell\": \"ARS-BFGL-NGS-56327\", \"bbox\": [0, 156, 71, 166]}, {\"cell\": \"14\", \"bbox\": [116, 156, 125, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 156, 188, 164]}, {\"cell\": \"within\", \"bbox\": [223, 156, 245, 166]}, {\"cell\": \"trafficking protein particle complex 9\", \"bbox\": [293, 156, 414, 166]}, {\"cell\": \"3.29E-08\", \"bbox\": [456, 156, 484, 166]}, {\"cell\": \"UA-IFASA-5306\", \"bbox\": [0, 170, 50, 180]}, {\"cell\": \"14\", \"bbox\": [116, 170, 125, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 170, 188, 178]}, {\"cell\": \"within\", \"bbox\": [223, 170, 245, 180]}, {\"cell\": \"trafficking protein particle complex 9\", \"bbox\": [293, 170, 414, 180]}, {\"cell\": \"3.64E-08\", \"bbox\": [456, 170, 484, 180]}, {\"cell\": \"UA-IFASA-9288\", \"bbox\": [0, 184, 50, 194]}, {\"cell\": \"14\", \"bbox\": [116, 184, 125, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 184, 176, 192]}, {\"cell\": \"within\", \"bbox\": [223, 184, 245, 194]}, {\"cell\": \"PTK2 protein tyrosine kinase 2\", \"bbox\": [293, 184, 392, 194]}, {\"cell\": \"8.29E-08\", \"bbox\": [456, 184, 484, 194]}, {\"cell\": \"Hapmap56639-rs29021780\", \"bbox\": [0, 198, 87, 208]}, {\"cell\": \"X\", \"bbox\": [116, 198, 122, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [159, 198, 179, 206]}, {\"cell\": \"within\", \"bbox\": [223, 198, 245, 208]}, {\"cell\": \"glutamate receptor, ionotrophic, AMPA 3\", \"bbox\": [293, 198, 427, 208]}, {\"cell\": \"1.34E-07\", \"bbox\": [456, 198, 484, 208]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4570044_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}921{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Risk factors</b></td><td><b>No. of women followed</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>GAIL-SBSP</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>S-GAIL-SBSP</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b>E-GAIL-SBSP</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><b><i>O</i></b></td><td><b><i>E</i></b></td><td><b><i>E/O </i>(CI)</b></td><td><b><i>P</i></b></td><td><b><i>E</i></b></td><td><b><i>E/O </i>(CI)</b></td><td><b><i>P</i></b></td><td><b><i>E</i></b></td><td><b><i>E/O </i>(CI)</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>AGEMEN (y)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥14</td><td>18,652</td><td>142</td><td>148.50</td><td>[EMPTY_CELL]</td><td>0.890</td><td>139.32</td><td>0.98 (0.83 to 1.16)</td><td>0.945</td><td>165.22</td><td>1.16 (0.99 to 1.37)</td><td>0.035</td></tr><tr><td> 12–13</td><td>9,279</td><td>89</td><td>83.81</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>90.61</td><td>1.02 (0.83 to 1.25)</td><td>[EMPTY_CELL]</td><td>109.59</td><td>1.23 (1.00 to 1.52)</td><td>[EMPTY_CELL]</td></tr><tr><td> <12</td><td>952</td><td>10</td><td>9.53</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>11.87</td><td>1.19 (0.64 to 2.21)</td><td>[EMPTY_CELL]</td><td>14.66</td><td>1.47 (0.79 to 2.73)</td><td>[EMPTY_CELL]</td></tr><tr><td>NBIOPS</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 0</td><td>27,176</td><td>218</td><td>222.80</td><td>[EMPTY_CELL]</td><td>0.629</td><td>226.43</td><td>1.04 (0.91 to 1.19)</td><td>0.129</td><td>271.38</td><td>1.24 (1.09 to 1.42)</td><td>0.003</td></tr><tr><td> 1</td><td>1,707</td><td>23</td><td>19.04</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>15.37</td><td>0.67 (0.44 to 1.01)</td><td>[EMPTY_CELL]</td><td>18.09</td><td>0.79 (0.52 to 1.18)</td><td>[EMPTY_CELL]</td></tr><tr><td>NUMREL</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 0</td><td>28,143</td><td>225</td><td>229.50</td><td>[EMPTY_CELL]</td><td>0.045</td><td>227.71</td><td>1.01 (0.89 to 1.15)</td><td>0.109</td><td>272.98</td><td>1.21 (1.06 to 1.38)</td><td>0.004</td></tr><tr><td> 1</td><td>729</td><td>14</td><td>11.98</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>13.67</td><td>0.98 (0.58 to 1.65)</td><td>[EMPTY_CELL]</td><td>16.01</td><td>1.14 (0.68 to 1.93)</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥2</td><td>11</td><td>2</td><td>0.36</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.42</td><td>0.21 (0.05 to 0.83)</td><td>[EMPTY_CELL]</td><td>0.48</td><td>0.24 (0.06 to 0.97)</td><td>[EMPTY_CELL]</td></tr><tr><td>AGEFLB (y)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <20</td><td>4,952</td><td>26</td><td>29.89</td><td>[EMPTY_CELL]</td><td>0.900</td><td>31.58</td><td>1.21 (0.83 to 1.78)</td><td>0.750</td><td>39.77</td><td>1.53 (1.04 to 2.25)</td><td>0.038</td></tr><tr><td> 20–24</td><td>10,840</td><td>77</td><td>80.61</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>81.02</td><td>1.05 (0.84 to 1.32)</td><td>[EMPTY_CELL]</td><td>94.41</td><td>1.23 (0.98 to 1.53)</td><td>[EMPTY_CELL]</td></tr><tr><td> 25–29 or nulliparous</td><td>9,843</td><td>97</td><td>93.48</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>92.61</td><td>0.95 (0.78 to 1.16)</td><td>[EMPTY_CELL]</td><td>112.39</td><td>1.16 (0.95 to 1.41)</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥30</td><td>3,248</td><td>41</td><td>37.85</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>36.59</td><td>0.89 (0.66 to 1.21)</td><td>[EMPTY_CELL]</td><td>42.90</td><td>1.05 (0.77 to 1.42)</td><td>[EMPTY_CELL]</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> <23.0</td><td>10,237</td><td>68</td><td>89.31</td><td>[EMPTY_CELL]</td><td>0.018</td><td>88.34</td><td>1.30 (1.02 to 1.65)</td><td>0.028</td><td>75.94</td><td>1.12 (0.88 to 1.42)</td><td>0.026</td></tr><tr><td> 23.0–27.4</td><td>12,225</td><td>107</td><td>101.99</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>102.09</td><td>0.95 (0.79 to 1.15)</td><td>[EMPTY_CELL]</td><td>124.26</td><td>1.16 (0.96 to 1.40)</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥27.5</td><td>6,411</td><td>66</td><td>50.45</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>51.29</td><td>0.78 (0.61 to 0.99)</td><td>[EMPTY_CELL]</td><td>89.21</td><td>1.35 (1.06 to 1.72)</td><td>[EMPTY_CELL]</td></tr><tr><td>Parity</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥3</td><td>20,197</td><td>147</td><td>156.72</td><td>[EMPTY_CELL]</td><td>0.632</td><td>157.01</td><td>1.07 (0.91 to 1.26)</td><td>0.615</td><td>178.11</td><td>1.21 (1.03 to 1.42)</td><td>0.041</td></tr><tr><td> 1–2</td><td>6,410</td><td>68</td><td>63.16</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>62.80</td><td>0.92 (0.73 to 1.17)</td><td>[EMPTY_CELL]</td><td>78.57</td><td>1.16 (0.91 to 1.47)</td><td>[EMPTY_CELL]</td></tr><tr><td> 0</td><td>2,276</td><td>26</td><td>21.95</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>21.99</td><td>0.85 (0.58 to 1.24)</td><td>[EMPTY_CELL]</td><td>32.78</td><td>1.26 (0.86 to 1.85)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Risk factors</b>\", \"bbox\": [1, 4, 42, 13]}, {\"cell\": \"<b>No. of women followed</b>\", \"bbox\": [92, 4, 175, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>GAIL-SBSP</b>\", \"bbox\": [269, 4, 307, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>S-GAIL-SBSP</b>\", \"bbox\": [413, 4, 458, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>E-GAIL-SBSP</b>\", \"bbox\": [560, 4, 604, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b><i>O</i></b>\", \"bbox\": [191, 17, 198, 25]}, {\"cell\": \"<b><i>E</i></b>\", \"bbox\": [220, 17, 226, 25]}, {\"cell\": \"<b><i>E/O </i>(CI)</b>\", \"bbox\": [274, 17, 302, 26]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [334, 17, 340, 25]}, {\"cell\": \"<b><i>E</i></b>\", \"bbox\": [368, 17, 374, 25]}, {\"cell\": \"<b><i>E/O </i>(CI)</b>\", \"bbox\": [422, 17, 449, 26]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [480, 17, 486, 25]}, {\"cell\": \"<b><i>E</i></b>\", \"bbox\": [514, 17, 520, 25]}, {\"cell\": \"<b><i>E/O </i>(CI)</b>\", \"bbox\": [568, 17, 596, 26]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [639, 17, 645, 25]}, {\"cell\": \"AGEMEN (y)\", \"bbox\": [1, 30, 41, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥14\", \"bbox\": [8, 44, 23, 54]}, {\"cell\": \"18,652\", \"bbox\": [153, 44, 175, 54]}, {\"cell\": \"142\", \"bbox\": [191, 44, 204, 54]}, {\"cell\": \"148.50\", \"bbox\": [220, 44, 242, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 44, 318, 54]}, {\"cell\": \"0.890\", \"bbox\": [334, 44, 352, 54]}, {\"cell\": \"139.32\", \"bbox\": [368, 44, 391, 54]}, {\"cell\": \"0.98 (0.83 to 1.16)\", \"bbox\": [406, 44, 465, 54]}, {\"cell\": \"0.945\", \"bbox\": [480, 44, 499, 54]}, {\"cell\": \"165.22\", \"bbox\": [514, 44, 537, 54]}, {\"cell\": \"1.16 (0.99 to 1.37)\", \"bbox\": [553, 44, 611, 54]}, {\"cell\": \"0.035\", \"bbox\": [627, 44, 645, 54]}, {\"cell\": \" 12–13\", \"bbox\": [8, 58, 30, 68]}, {\"cell\": \"9,279\", \"bbox\": [157, 58, 175, 68]}, {\"cell\": \"89\", \"bbox\": [195, 58, 204, 68]}, {\"cell\": \"83.81\", \"bbox\": [224, 58, 242, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 58, 318, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"90.61\", \"bbox\": [372, 58, 391, 68]}, {\"cell\": \"1.02 (0.83 to 1.25)\", \"bbox\": [406, 58, 465, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"109.59\", \"bbox\": [514, 58, 537, 68]}, {\"cell\": \"1.23 (1.00 to 1.52)\", \"bbox\": [553, 58, 611, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <12\", \"bbox\": [8, 72, 23, 82]}, {\"cell\": \"952\", \"bbox\": [162, 72, 175, 82]}, {\"cell\": \"10\", \"bbox\": [195, 72, 204, 82]}, {\"cell\": \"9.53\", \"bbox\": [228, 72, 242, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 72, 318, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11.87\", \"bbox\": [372, 72, 391, 82]}, {\"cell\": \"1.19 (0.64 to 2.21)\", \"bbox\": [406, 72, 465, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"14.66\", \"bbox\": [518, 72, 537, 82]}, {\"cell\": \"1.47 (0.79 to 2.73)\", \"bbox\": [553, 72, 611, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NBIOPS\", \"bbox\": [1, 86, 26, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0\", \"bbox\": [8, 100, 14, 110]}, {\"cell\": \"27,176\", \"bbox\": [153, 100, 175, 110]}, {\"cell\": \"218\", \"bbox\": [191, 100, 204, 110]}, {\"cell\": \"222.80\", \"bbox\": [220, 100, 242, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 100, 318, 110]}, {\"cell\": \"0.629\", \"bbox\": [334, 100, 352, 110]}, {\"cell\": \"226.43\", \"bbox\": [368, 100, 391, 110]}, {\"cell\": \"1.04 (0.91 to 1.19)\", \"bbox\": [406, 100, 465, 110]}, {\"cell\": \"0.129\", \"bbox\": [480, 100, 499, 110]}, {\"cell\": \"271.38\", \"bbox\": [514, 100, 537, 110]}, {\"cell\": \"1.24 (1.09 to 1.42)\", \"bbox\": [553, 100, 611, 110]}, {\"cell\": \"0.003\", \"bbox\": [627, 100, 645, 110]}, {\"cell\": \" 1\", \"bbox\": [8, 114, 14, 124]}, {\"cell\": \"1,707\", \"bbox\": [157, 114, 175, 124]}, {\"cell\": \"23\", \"bbox\": [195, 114, 204, 124]}, {\"cell\": \"19.04\", \"bbox\": [224, 114, 242, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 114, 318, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"15.37\", \"bbox\": [372, 114, 391, 124]}, {\"cell\": \"0.67 (0.44 to 1.01)\", \"bbox\": [406, 114, 465, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18.09\", \"bbox\": [518, 114, 537, 124]}, {\"cell\": \"0.79 (0.52 to 1.18)\", \"bbox\": [553, 114, 611, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NUMREL\", \"bbox\": [1, 128, 30, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0\", \"bbox\": [8, 142, 14, 152]}, {\"cell\": \"28,143\", \"bbox\": [153, 142, 175, 152]}, {\"cell\": \"225\", \"bbox\": [191, 142, 204, 152]}, {\"cell\": \"229.50\", \"bbox\": [220, 142, 242, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 142, 318, 152]}, {\"cell\": \"0.045\", \"bbox\": [334, 142, 352, 152]}, {\"cell\": \"227.71\", \"bbox\": [368, 142, 391, 152]}, {\"cell\": \"1.01 (0.89 to 1.15)\", \"bbox\": [406, 142, 465, 152]}, {\"cell\": \"0.109\", \"bbox\": [480, 142, 499, 152]}, {\"cell\": \"272.98\", \"bbox\": [514, 142, 537, 152]}, {\"cell\": \"1.21 (1.06 to 1.38)\", \"bbox\": [553, 142, 611, 152]}, {\"cell\": \"0.004\", \"bbox\": [627, 142, 645, 152]}, {\"cell\": \" 1\", \"bbox\": [8, 156, 14, 166]}, {\"cell\": \"729\", \"bbox\": [162, 156, 175, 166]}, {\"cell\": \"14\", \"bbox\": [195, 156, 204, 166]}, {\"cell\": \"11.98\", \"bbox\": [224, 156, 242, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 156, 318, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13.67\", \"bbox\": [372, 156, 391, 166]}, {\"cell\": \"0.98 (0.58 to 1.65)\", \"bbox\": [406, 156, 465, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"16.01\", \"bbox\": [518, 156, 537, 166]}, {\"cell\": \"1.14 (0.68 to 1.93)\", \"bbox\": [553, 156, 611, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥2\", \"bbox\": [8, 170, 20, 180]}, {\"cell\": \"11\", \"bbox\": [165, 170, 175, 180]}, {\"cell\": \"2\", \"bbox\": [198, 170, 204, 180]}, {\"cell\": \"0.36\", \"bbox\": [228, 170, 242, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 170, 318, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.42\", \"bbox\": [376, 170, 391, 180]}, {\"cell\": \"0.21 (0.05 to 0.83)\", \"bbox\": [406, 170, 465, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.48\", \"bbox\": [522, 170, 537, 180]}, {\"cell\": \"0.24 (0.06 to 0.97)\", \"bbox\": [553, 170, 611, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"AGEFLB (y)\", \"bbox\": [1, 184, 37, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <20\", \"bbox\": [8, 198, 23, 208]}, {\"cell\": \"4,952\", \"bbox\": [157, 198, 175, 208]}, {\"cell\": \"26\", \"bbox\": [195, 198, 204, 208]}, {\"cell\": \"29.89\", \"bbox\": [224, 198, 242, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 198, 318, 208]}, {\"cell\": \"0.900\", \"bbox\": [334, 198, 352, 208]}, {\"cell\": \"31.58\", \"bbox\": [372, 198, 391, 208]}, {\"cell\": \"1.21 (0.83 to 1.78)\", \"bbox\": [406, 198, 465, 208]}, {\"cell\": \"0.750\", \"bbox\": [480, 198, 499, 208]}, {\"cell\": \"39.77\", \"bbox\": [518, 198, 537, 208]}, {\"cell\": \"1.53 (1.04 to 2.25)\", \"bbox\": [553, 198, 611, 208]}, {\"cell\": \"0.038\", \"bbox\": [627, 198, 645, 208]}, {\"cell\": \" 20–24\", \"bbox\": [8, 212, 30, 222]}, {\"cell\": \"10,840\", \"bbox\": [153, 212, 175, 222]}, {\"cell\": \"77\", \"bbox\": [195, 212, 204, 222]}, {\"cell\": \"80.61\", \"bbox\": [224, 212, 242, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 212, 318, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"81.02\", \"bbox\": [372, 212, 391, 222]}, {\"cell\": \"1.05 (0.84 to 1.32)\", \"bbox\": [406, 212, 465, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"94.41\", \"bbox\": [518, 212, 537, 222]}, {\"cell\": \"1.23 (0.98 to 1.53)\", \"bbox\": [553, 212, 611, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 25–29 or nulliparous\", \"bbox\": [8, 226, 76, 236]}, {\"cell\": \"9,843\", \"bbox\": [157, 226, 175, 236]}, {\"cell\": \"97\", \"bbox\": [195, 226, 204, 236]}, {\"cell\": \"93.48\", \"bbox\": [224, 226, 242, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 226, 318, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"92.61\", \"bbox\": [372, 226, 391, 236]}, {\"cell\": \"0.95 (0.78 to 1.16)\", \"bbox\": [406, 226, 465, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"112.39\", \"bbox\": [514, 226, 537, 236]}, {\"cell\": \"1.16 (0.95 to 1.41)\", \"bbox\": [553, 226, 611, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥30\", \"bbox\": [8, 240, 23, 250]}, {\"cell\": \"3,248\", \"bbox\": [157, 240, 175, 250]}, {\"cell\": \"41\", \"bbox\": [195, 240, 204, 250]}, {\"cell\": \"37.85\", \"bbox\": [224, 240, 242, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 240, 318, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"36.59\", \"bbox\": [372, 240, 391, 250]}, {\"cell\": \"0.89 (0.66 to 1.21)\", \"bbox\": [406, 240, 465, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"42.90\", \"bbox\": [518, 240, 537, 250]}, {\"cell\": \"1.05 (0.77 to 1.42)\", \"bbox\": [553, 240, 611, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [1, 253, 41, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" <23.0\", \"bbox\": [8, 268, 28, 278]}, {\"cell\": \"10,237\", \"bbox\": [153, 268, 175, 278]}, {\"cell\": \"68\", \"bbox\": [195, 268, 204, 278]}, {\"cell\": \"89.31\", \"bbox\": [224, 268, 242, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 268, 318, 278]}, {\"cell\": \"0.018\", \"bbox\": [334, 268, 352, 278]}, {\"cell\": \"88.34\", \"bbox\": [372, 268, 391, 278]}, {\"cell\": \"1.30 (1.02 to 1.65)\", \"bbox\": [406, 268, 465, 278]}, {\"cell\": \"0.028\", \"bbox\": [480, 268, 499, 278]}, {\"cell\": \"75.94\", \"bbox\": [518, 268, 537, 278]}, {\"cell\": \"1.12 (0.88 to 1.42)\", \"bbox\": [553, 268, 611, 278]}, {\"cell\": \"0.026\", \"bbox\": [627, 268, 645, 278]}, {\"cell\": \" 23.0–27.4\", \"bbox\": [8, 282, 40, 292]}, {\"cell\": \"12,225\", \"bbox\": [153, 282, 175, 292]}, {\"cell\": \"107\", \"bbox\": [191, 282, 204, 292]}, {\"cell\": \"101.99\", \"bbox\": [220, 282, 242, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 282, 318, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"102.09\", \"bbox\": [368, 282, 391, 292]}, {\"cell\": \"0.95 (0.79 to 1.15)\", \"bbox\": [406, 282, 465, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"124.26\", \"bbox\": [514, 282, 537, 292]}, {\"cell\": \"1.16 (0.96 to 1.40)\", \"bbox\": [553, 282, 611, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥27.5\", \"bbox\": [8, 296, 29, 306]}, {\"cell\": \"6,411\", \"bbox\": [157, 296, 175, 306]}, {\"cell\": \"66\", \"bbox\": [195, 296, 204, 306]}, {\"cell\": \"50.45\", \"bbox\": [224, 296, 242, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [258, 296, 318, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"51.29\", \"bbox\": [372, 296, 391, 306]}, {\"cell\": \"0.78 (0.61 to 0.99)\", \"bbox\": [406, 296, 465, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"89.21\", \"bbox\": [518, 296, 537, 306]}, {\"cell\": \"1.35 (1.06 to 1.72)\", \"bbox\": [553, 296, 611, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Parity\", \"bbox\": [1, 310, 20, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥3\", \"bbox\": [8, 324, 20, 334]}, {\"cell\": \"20,197\", \"bbox\": [153, 324, 175, 334]}, {\"cell\": \"147\", \"bbox\": [191, 324, 204, 334]}, {\"cell\": \"156.72\", \"bbox\": [220, 324, 242, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 324, 318, 334]}, {\"cell\": \"0.632\", \"bbox\": [334, 324, 352, 334]}, {\"cell\": \"157.01\", \"bbox\": [368, 324, 391, 334]}, {\"cell\": \"1.07 (0.91 to 1.26)\", \"bbox\": [406, 324, 465, 334]}, {\"cell\": \"0.615\", \"bbox\": [480, 324, 499, 334]}, {\"cell\": \"178.11\", \"bbox\": [514, 324, 537, 334]}, {\"cell\": \"1.21 (1.03 to 1.42)\", \"bbox\": [553, 324, 611, 334]}, {\"cell\": \"0.041\", \"bbox\": [627, 324, 645, 334]}, {\"cell\": \" 1–2\", \"bbox\": [8, 338, 22, 348]}, {\"cell\": \"6,410\", \"bbox\": [157, 338, 175, 348]}, {\"cell\": \"68\", \"bbox\": [195, 338, 204, 348]}, {\"cell\": \"63.16\", \"bbox\": [224, 338, 242, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 338, 318, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"62.80\", \"bbox\": [372, 338, 391, 348]}, {\"cell\": \"0.92 (0.73 to 1.17)\", \"bbox\": [406, 338, 465, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"78.57\", \"bbox\": [518, 338, 537, 348]}, {\"cell\": \"1.16 (0.91 to 1.47)\", \"bbox\": [553, 338, 611, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0\", \"bbox\": [8, 352, 14, 362]}, {\"cell\": \"2,276\", \"bbox\": [157, 352, 175, 362]}, {\"cell\": \"26\", \"bbox\": [195, 352, 204, 362]}, {\"cell\": \"21.95\", \"bbox\": [224, 352, 242, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [260, 352, 318, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"21.99\", \"bbox\": [372, 352, 391, 362]}, {\"cell\": \"0.85 (0.58 to 1.24)\", \"bbox\": [406, 352, 465, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"32.78\", \"bbox\": [518, 352, 537, 362]}, {\"cell\": \"1.26 (0.86 to 1.85)\", \"bbox\": [553, 352, 611, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3529190_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}922{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Standard 2D FLASH</b></td><td><b>CAIPIRINHA 3D FLASH</b></td><td><b>T1w TSE triggered</b></td><td><b>T2w TIRM</b></td><td><b>T2w HASTE FS</b></td></tr></thead><tbody><tr><td>TR, ms</td><td>[EMPTY_CELL]</td><td>6.1</td><td>2000</td><td>8290</td><td>1000</td></tr><tr><td>TE, ms</td><td>[EMPTY_CELL]</td><td>3.0</td><td>2.5</td><td>84</td><td>102</td></tr><tr><td>Flip angle, °</td><td>[EMPTY_CELL]</td><td>10</td><td>15</td><td>180</td><td>160</td></tr><tr><td>Scan orientation</td><td>[EMPTY_CELL]</td><td>Transverse</td><td>Transverse</td><td>Coronal</td><td>Coronal</td></tr><tr><td>In-plane resolution, mm</td><td>[EMPTY_CELL]</td><td>1.0 × 1.0</td><td>0.7 × 0.7</td><td>0.8 × 0.8</td><td>1.0 × 1.0</td></tr><tr><td>Slice thickness, mm</td><td>[EMPTY_CELL]</td><td>3–5</td><td>4</td><td>4</td><td>4</td></tr><tr><td>FOV, mm</td><td>[EMPTY_CELL]</td><td>250</td><td>350</td><td>350</td><td>350</td></tr><tr><td>iPAT</td><td>[EMPTY_CELL]</td><td>Acceleration factor = 4</td><td>None</td><td>Acceleration factor = 2</td><td>Acceleration factor = 2</td></tr><tr><td>Breath-hold</td><td>[EMPTY_CELL]</td><td>15 s</td><td>Respiratory-triggered</td><td>20 s</td><td>21 s</td></tr><tr><td>Scan time</td><td>[EMPTY_CELL]</td><td>15 s</td><td>6 min 10 s</td><td>3 min 5 s</td><td>42 s</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Standard 2D FLASH</b>\", \"bbox\": [102, 4, 144, 25]}, {\"cell\": \"<b>CAIPIRINHA 3D FLASH</b>\", \"bbox\": [180, 4, 233, 25]}, {\"cell\": \"<b>T1w TSE triggered</b>\", \"bbox\": [273, 4, 308, 25]}, {\"cell\": \"<b>T2w TIRM</b>\", \"bbox\": [353, 9, 395, 20]}, {\"cell\": \"<b>T2w HASTE FS</b>\", \"bbox\": [429, 9, 487, 20]}, {\"cell\": \"TR, ms\", \"bbox\": [2, 28, 30, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [114, 28, 132, 39]}, {\"cell\": \"6.1\", \"bbox\": [201, 28, 212, 39]}, {\"cell\": \"2000\", \"bbox\": [281, 28, 300, 39]}, {\"cell\": \"8290\", \"bbox\": [364, 28, 384, 39]}, {\"cell\": \"1000\", \"bbox\": [449, 28, 467, 39]}, {\"cell\": \"TE, ms\", \"bbox\": [2, 41, 30, 52]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [117, 41, 129, 52]}, {\"cell\": \"3.0\", \"bbox\": [200, 41, 213, 52]}, {\"cell\": \"2.5\", \"bbox\": [284, 41, 297, 52]}, {\"cell\": \"84\", \"bbox\": [369, 41, 379, 52]}, {\"cell\": \"102\", \"bbox\": [451, 41, 464, 52]}, {\"cell\": \"Flip angle, °\", \"bbox\": [2, 51, 46, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [118, 54, 128, 65]}, {\"cell\": \"10\", \"bbox\": [202, 54, 211, 65]}, {\"cell\": \"15\", \"bbox\": [286, 54, 295, 65]}, {\"cell\": \"180\", \"bbox\": [367, 54, 381, 65]}, {\"cell\": \"160\", \"bbox\": [451, 54, 465, 65]}, {\"cell\": \"Scan orientation\", \"bbox\": [2, 68, 63, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [103, 68, 143, 78]}, {\"cell\": \"Transverse\", \"bbox\": [187, 68, 227, 78]}, {\"cell\": \"Transverse\", \"bbox\": [270, 68, 311, 78]}, {\"cell\": \"Coronal\", \"bbox\": [358, 68, 390, 78]}, {\"cell\": \"Coronal\", \"bbox\": [442, 68, 473, 78]}, {\"cell\": \"In-plane resolution, mm\", \"bbox\": [2, 80, 75, 101]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [108, 82, 138, 98]}, {\"cell\": \"1.0 × 1.0\", \"bbox\": [192, 82, 222, 98]}, {\"cell\": \"0.7 × 0.7\", \"bbox\": [274, 82, 307, 98]}, {\"cell\": \"0.8 × 0.8\", \"bbox\": [358, 82, 390, 98]}, {\"cell\": \"1.0 × 1.0\", \"bbox\": [443, 82, 473, 98]}, {\"cell\": \"Slice thickness, mm\", \"bbox\": [2, 104, 75, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 104, 126, 115]}, {\"cell\": \"3–5\", \"bbox\": [199, 104, 214, 115]}, {\"cell\": \"4\", \"bbox\": [287, 104, 294, 115]}, {\"cell\": \"4\", \"bbox\": [371, 104, 377, 115]}, {\"cell\": \"4\", \"bbox\": [455, 104, 461, 115]}, {\"cell\": \"FOV, mm\", \"bbox\": [2, 117, 40, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 117, 130, 128]}, {\"cell\": \"250\", \"bbox\": [199, 117, 214, 128]}, {\"cell\": \"350\", \"bbox\": [283, 117, 298, 128]}, {\"cell\": \"350\", \"bbox\": [367, 117, 381, 128]}, {\"cell\": \"350\", \"bbox\": [450, 117, 465, 128]}, {\"cell\": \"iPAT\", \"bbox\": [2, 135, 22, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [112, 135, 134, 146]}, {\"cell\": \"Acceleration factor = 4\", \"bbox\": [183, 130, 230, 151]}, {\"cell\": \"None\", \"bbox\": [280, 135, 301, 146]}, {\"cell\": \"Acceleration factor = 2\", \"bbox\": [351, 130, 398, 151]}, {\"cell\": \"Acceleration factor = 2\", \"bbox\": [434, 130, 481, 151]}, {\"cell\": \"Breath-hold\", \"bbox\": [2, 153, 48, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [116, 153, 131, 164]}, {\"cell\": \"15 s\", \"bbox\": [200, 153, 214, 164]}, {\"cell\": \"Respiratory-triggered\", \"bbox\": [251, 153, 330, 164]}, {\"cell\": \"20 s\", \"bbox\": [366, 153, 382, 164]}, {\"cell\": \"21 s\", \"bbox\": [451, 153, 465, 164]}, {\"cell\": \"Scan time\", \"bbox\": [2, 167, 40, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [106, 167, 140, 177]}, {\"cell\": \"15 s\", \"bbox\": [200, 167, 214, 177]}, {\"cell\": \"6 min 10 s\", \"bbox\": [272, 167, 309, 177]}, {\"cell\": \"3 min 5 s\", \"bbox\": [358, 167, 391, 177]}, {\"cell\": \"42 s\", \"bbox\": [450, 167, 466, 177]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4405018_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}923{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Hemoglobin concentration</b></td></tr><tr><td><b>Hb(g/dl) ± SD</b></td><td><b>Minimum Hb(g/dl)</b></td><td><b>Maximum Hb(g/dl)</b></td><td><b><i>P</i> – value</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td><b>11.6 ± 1.5</b></td><td><b>5.5</b></td><td><b>15.1</b></td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>11.5 <b>±</b> 1.4</td><td>5.5</td><td>14.5</td><td>0.146</td></tr><tr><td>[EMPTY_CELL]</td><td>11.7 <b>±</b> 1.5</td><td>7</td><td>15.1</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>11.3 <b>±</b> 1.5</td><td>5.5</td><td>14.2</td><td><b>0.001**</b></td></tr><tr><td>[EMPTY_CELL]</td><td>11.8 <b>±</b> 1.4</td><td>7</td><td>15.1</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>11.6 <b>±</b> 1.3</td><td>7.7</td><td>15.1</td><td>0.431</td></tr><tr><td>[EMPTY_CELL]</td><td>11.5 ± 1.6</td><td>5.5</td><td>15.1</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>11.4 ± 1.7</td><td>5.5</td><td>14.1</td><td>0.103</td></tr><tr><td>[EMPTY_CELL]</td><td>11.7 ± 1.4</td><td>6.2</td><td>15.1</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>11.4 ± 1.5</td><td>7</td><td>14.7</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>12.3 ± 1.4</td><td>10.2</td><td>15.1</td><td><b>0.016**</b></td></tr><tr><td>[EMPTY_CELL]</td><td>11.6 ± 1.4</td><td>5.5</td><td>15.1</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>12.3 ± 1.7</td><td>8.5</td><td>15.1</td><td rowspan=\\\"2\\\"><b>0.0332**</b></td></tr><tr><td>[EMPTY_CELL]</td><td>11.6 ± 1.4</td><td>5.5</td><td>15.1</td></tr><tr><td>[EMPTY_CELL]</td><td>11.4 ± 1.2</td><td>8.6</td><td>13.5</td><td rowspan=\\\"2\\\">0.3139</td></tr><tr><td>[EMPTY_CELL]</td><td>11.6 ± 1.5</td><td>5.5</td><td>15.1</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>12.9 ± 1.5</td><td>10.7</td><td>15.1</td><td rowspan=\\\"2\\\"><b>0.003**</b></td></tr><tr><td>[EMPTY_CELL]</td><td>11.2 ± 1.5</td><td>8.5</td><td>13.3</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Hemoglobin concentration</b>\", \"bbox\": [138, 4, 227, 13]}, {\"cell\": \"<b>Hb(g/dl) ± SD</b>\", \"bbox\": [138, 17, 183, 27]}, {\"cell\": \"<b>Minimum Hb(g/dl)</b>\", \"bbox\": [232, 17, 293, 27]}, {\"cell\": \"<b>Maximum Hb(g/dl)</b>\", \"bbox\": [342, 17, 404, 27]}, {\"cell\": \"<b><i>P</i> – value</b>\", \"bbox\": [453, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 30, 18, 40]}, {\"cell\": \"<b>11.6 ± 1.5</b>\", \"bbox\": [138, 30, 175, 38]}, {\"cell\": \"<b>5.5</b>\", \"bbox\": [232, 30, 244, 38]}, {\"cell\": \"<b>15.1</b>\", \"bbox\": [342, 30, 358, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 44, 25, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 58, 37, 68]}, {\"cell\": \"11.5 <b>±</b> 1.4\", \"bbox\": [138, 58, 172, 68]}, {\"cell\": \"5.5\", \"bbox\": [232, 58, 243, 68]}, {\"cell\": \"14.5\", \"bbox\": [342, 58, 356, 68]}, {\"cell\": \"0.146\", \"bbox\": [453, 58, 472, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 72, 40, 82]}, {\"cell\": \"11.7 <b>±</b> 1.5\", \"bbox\": [138, 72, 172, 82]}, {\"cell\": \"7\", \"bbox\": [232, 72, 237, 82]}, {\"cell\": \"15.1\", \"bbox\": [342, 72, 356, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 86, 15, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 100, 26, 110]}, {\"cell\": \"11.3 <b>±</b> 1.5\", \"bbox\": [138, 100, 172, 110]}, {\"cell\": \"5.5\", \"bbox\": [232, 100, 243, 110]}, {\"cell\": \"14.2\", \"bbox\": [342, 100, 356, 110]}, {\"cell\": \"<b>0.001**</b>\", \"bbox\": [453, 100, 480, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 114, 30, 124]}, {\"cell\": \"11.8 <b>±</b> 1.4\", \"bbox\": [138, 114, 172, 124]}, {\"cell\": \"7\", \"bbox\": [232, 114, 237, 124]}, {\"cell\": \"15.1\", \"bbox\": [342, 114, 356, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 128, 13, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 142, 26, 152]}, {\"cell\": \"11.6 <b>±</b> 1.3\", \"bbox\": [138, 142, 172, 152]}, {\"cell\": \"7.7\", \"bbox\": [232, 142, 243, 152]}, {\"cell\": \"15.1\", \"bbox\": [342, 142, 356, 152]}, {\"cell\": \"0.431\", \"bbox\": [453, 142, 472, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 156, 34, 166]}, {\"cell\": \"11.5 ± 1.6\", \"bbox\": [138, 156, 172, 166]}, {\"cell\": \"5.5\", \"bbox\": [232, 156, 243, 166]}, {\"cell\": \"15.1\", \"bbox\": [342, 156, 356, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 170, 72, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 184, 24, 194]}, {\"cell\": \"11.4 ± 1.7\", \"bbox\": [138, 184, 172, 194]}, {\"cell\": \"5.5\", \"bbox\": [232, 184, 243, 194]}, {\"cell\": \"14.1\", \"bbox\": [342, 184, 356, 194]}, {\"cell\": \"0.103\", \"bbox\": [453, 184, 472, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 198, 41, 208]}, {\"cell\": \"11.7 ± 1.4\", \"bbox\": [138, 198, 172, 208]}, {\"cell\": \"6.2\", \"bbox\": [232, 198, 243, 208]}, {\"cell\": \"15.1\", \"bbox\": [342, 198, 356, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 212, 26, 222]}, {\"cell\": \"11.4 ± 1.5\", \"bbox\": [138, 212, 172, 222]}, {\"cell\": \"7\", \"bbox\": [232, 212, 237, 222]}, {\"cell\": \"14.7\", \"bbox\": [342, 212, 356, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 226, 36, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 240, 34, 250]}, {\"cell\": \"12.3 ± 1.4\", \"bbox\": [138, 240, 172, 250]}, {\"cell\": \"10.2\", \"bbox\": [232, 240, 246, 250]}, {\"cell\": \"15.1\", \"bbox\": [342, 240, 356, 250]}, {\"cell\": \"<b>0.016**</b>\", \"bbox\": [453, 240, 480, 248]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 254, 33, 264]}, {\"cell\": \"11.6 ± 1.4\", \"bbox\": [138, 254, 172, 264]}, {\"cell\": \"5.5\", \"bbox\": [232, 254, 243, 264]}, {\"cell\": \"15.1\", \"bbox\": [342, 254, 356, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 268, 51, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 282, 86, 292]}, {\"cell\": \"12.3 ± 1.7\", \"bbox\": [138, 282, 172, 292]}, {\"cell\": \"8.5\", \"bbox\": [232, 282, 243, 292]}, {\"cell\": \"15.1\", \"bbox\": [342, 282, 356, 292]}, {\"cell\": \"<b>0.0332**</b>\", \"bbox\": [453, 282, 484, 290]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 296, 90, 306]}, {\"cell\": \"11.6 ± 1.4\", \"bbox\": [138, 296, 172, 306]}, {\"cell\": \"5.5\", \"bbox\": [232, 296, 243, 306]}, {\"cell\": \"15.1\", \"bbox\": [342, 296, 356, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 310, 60, 320]}, {\"cell\": \"11.4 ± 1.2\", \"bbox\": [138, 310, 172, 320]}, {\"cell\": \"8.6\", \"bbox\": [232, 310, 243, 320]}, {\"cell\": \"13.5\", \"bbox\": [342, 310, 356, 320]}, {\"cell\": \"0.3139\", \"bbox\": [453, 310, 475, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 324, 64, 334]}, {\"cell\": \"11.6 ± 1.5\", \"bbox\": [138, 324, 172, 334]}, {\"cell\": \"5.5\", \"bbox\": [232, 324, 243, 334]}, {\"cell\": \"15.1\", \"bbox\": [342, 324, 356, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 338, 123, 348]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 352, 55, 362]}, {\"cell\": \"12.9 ± 1.5\", \"bbox\": [138, 352, 172, 362]}, {\"cell\": \"10.7\", \"bbox\": [232, 352, 246, 362]}, {\"cell\": \"15.1\", \"bbox\": [342, 352, 356, 362]}, {\"cell\": \"<b>0.003**</b>\", \"bbox\": [453, 352, 480, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 366, 59, 376]}, {\"cell\": \"11.2 ± 1.5\", \"bbox\": [138, 366, 172, 376]}, {\"cell\": \"8.5\", \"bbox\": [232, 366, 243, 376]}, {\"cell\": \"13.3\", \"bbox\": [342, 366, 356, 376]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5907294_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}924{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Ulcerative colitis</b></td><td colspan=\\\"2\\\"><b>Crohn's disease</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Lactulose (n= 7)</b></td><td><b>Control (n= 7)</b></td><td><b>Lactulose (n= 9)</b></td><td><b>Control (n= 8)</b></td></tr></thead><tbody><tr><td>Immunoglobulin G (g/l)*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Before</td><td>[EMPTY_CELL]</td><td>14.0 ± 2.0</td><td>12.9 ± 4.6</td><td>11.8 ± 3.4</td></tr><tr><td> After</td><td>[EMPTY_CELL]</td><td>13.3 ± 2.0</td><td>11.8 ± 4.5</td><td>11.6 ± 4.1</td></tr><tr><td>Immunoglobulin A (g/l)*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Before</td><td>[EMPTY_CELL]</td><td>2.8 ± 0.4</td><td>4.6 ± 3.4</td><td>3.6 ± 1.1</td></tr><tr><td> After</td><td>[EMPTY_CELL]</td><td>2.3 ± 0.3</td><td>4.3 ± 3.4</td><td>3.6 ± 1.3</td></tr><tr><td>Immunoglobulin M (g/l)*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Before</td><td>[EMPTY_CELL]</td><td>2.4 ± 0.8</td><td>1.9 ± 1.7</td><td>1.7 ± 0.5</td></tr><tr><td> After</td><td>[EMPTY_CELL]</td><td>2.3 ± 0.7</td><td>1.9 ± 1.7</td><td>1.8 ± 1.0</td></tr><tr><td>Blood activity factor<sup>*,†</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Before</td><td>[EMPTY_CELL]</td><td>2.9 ± 2.4</td><td>-7.0 ± 3.1</td><td>-4.7 ± 3.1</td></tr><tr><td> After</td><td>[EMPTY_CELL]</td><td>5.7 ± 1.2</td><td>1.3 ± 2.6<sup>‡</sup></td><td>1.3 ± 2.0<sup>‡</sup></td></tr><tr><td>Fecal α1-antitrypsine*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Before</td><td>[EMPTY_CELL]</td><td>56.8 ± 14.4</td><td>79.8 ± 9.9</td><td>66.5 ± 9.7</td></tr><tr><td> After</td><td>[EMPTY_CELL]</td><td>50.0 ± 12,7</td><td>55.3 ± 14.1</td><td>35.2 ± 11.4<sup>‡</sup></td></tr><tr><td>Fecal pH*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Before</td><td>[EMPTY_CELL]</td><td>6.8 ± 0.1</td><td>6.8 ± 0.2</td><td>6.7 ± 0.7</td></tr><tr><td> After</td><td>[EMPTY_CELL]</td><td>6.8 ± 0.1</td><td>6.6 ± 0.4</td><td>6.6 ± 0.7</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Ulcerative colitis</b>\", \"bbox\": [226, 4, 284, 14]}, {\"cell\": \"<b>Crohn's disease</b>\", \"bbox\": [391, 4, 445, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Lactulose (n= 7)</b>\", \"bbox\": [187, 27, 243, 36]}, {\"cell\": \"<b>Control (n= 7)</b>\", \"bbox\": [269, 27, 321, 36]}, {\"cell\": \"<b>Lactulose (n= 9)</b>\", \"bbox\": [347, 27, 403, 36]}, {\"cell\": \"<b>Control (n= 8)</b>\", \"bbox\": [432, 27, 484, 36]}, {\"cell\": \"Immunoglobulin G (g/l)*\", \"bbox\": [4, 49, 87, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 59, 39, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 59, 233, 69]}, {\"cell\": \"14.0 ± 2.0\", \"bbox\": [277, 59, 313, 69]}, {\"cell\": \"12.9 ± 4.6\", \"bbox\": [357, 59, 393, 69]}, {\"cell\": \"11.8 ± 3.4\", \"bbox\": [440, 59, 476, 69]}, {\"cell\": \" After\", \"bbox\": [14, 69, 34, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 69, 233, 79]}, {\"cell\": \"13.3 ± 2.0\", \"bbox\": [277, 69, 313, 79]}, {\"cell\": \"11.8 ± 4.5\", \"bbox\": [357, 69, 393, 79]}, {\"cell\": \"11.6 ± 4.1\", \"bbox\": [440, 69, 476, 79]}, {\"cell\": \"Immunoglobulin A (g/l)*\", \"bbox\": [4, 79, 86, 89]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 90, 39, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 90, 231, 100]}, {\"cell\": \"2.8 ± 0.4\", \"bbox\": [279, 90, 311, 100]}, {\"cell\": \"4.6 ± 3.4\", \"bbox\": [359, 90, 391, 100]}, {\"cell\": \"3.6 ± 1.1\", \"bbox\": [442, 90, 474, 100]}, {\"cell\": \" After\", \"bbox\": [14, 100, 34, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 100, 231, 110]}, {\"cell\": \"2.3 ± 0.3\", \"bbox\": [279, 100, 311, 110]}, {\"cell\": \"4.3 ± 3.4\", \"bbox\": [359, 100, 391, 110]}, {\"cell\": \"3.6 ± 1.3\", \"bbox\": [442, 100, 474, 110]}, {\"cell\": \"Immunoglobulin M (g/l)*\", \"bbox\": [4, 110, 87, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 121, 39, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 121, 231, 130]}, {\"cell\": \"2.4 ± 0.8\", \"bbox\": [279, 121, 311, 130]}, {\"cell\": \"1.9 ± 1.7\", \"bbox\": [359, 121, 391, 130]}, {\"cell\": \"1.7 ± 0.5\", \"bbox\": [442, 121, 474, 130]}, {\"cell\": \" After\", \"bbox\": [14, 131, 34, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 131, 231, 141]}, {\"cell\": \"2.3 ± 0.7\", \"bbox\": [279, 131, 311, 141]}, {\"cell\": \"1.9 ± 1.7\", \"bbox\": [359, 131, 391, 141]}, {\"cell\": \"1.8 ± 1.0\", \"bbox\": [442, 131, 474, 141]}, {\"cell\": \"Blood activity factor<sup>*,†</sup>\", \"bbox\": [4, 141, 81, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 151, 39, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 151, 232, 161]}, {\"cell\": \"2.9 ± 2.4\", \"bbox\": [280, 151, 311, 161]}, {\"cell\": \"-7.0 ± 3.1\", \"bbox\": [358, 151, 392, 161]}, {\"cell\": \"-4.7 ± 3.1\", \"bbox\": [441, 151, 475, 161]}, {\"cell\": \" After\", \"bbox\": [14, 162, 34, 171]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 162, 231, 171]}, {\"cell\": \"5.7 ± 1.2\", \"bbox\": [279, 162, 311, 171]}, {\"cell\": \"1.3 ± 2.6<sup>‡</sup>\", \"bbox\": [358, 161, 392, 171]}, {\"cell\": \"1.3 ± 2.0<sup>‡</sup>\", \"bbox\": [441, 161, 475, 171]}, {\"cell\": \"Fecal α1-antitrypsine*\", \"bbox\": [4, 161, 80, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 182, 39, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [195, 182, 235, 192]}, {\"cell\": \"56.8 ± 14.4\", \"bbox\": [275, 182, 315, 192]}, {\"cell\": \"79.8 ± 9.9\", \"bbox\": [357, 182, 393, 192]}, {\"cell\": \"66.5 ± 9.7\", \"bbox\": [440, 182, 476, 192]}, {\"cell\": \" After\", \"bbox\": [14, 192, 34, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [197, 192, 233, 202]}, {\"cell\": \"50.0 ± 12,7\", \"bbox\": [275, 192, 315, 202]}, {\"cell\": \"55.3 ± 14.1\", \"bbox\": [355, 192, 395, 202]}, {\"cell\": \"35.2 ± 11.4<sup>‡</sup>\", \"bbox\": [437, 192, 479, 202]}, {\"cell\": \"Fecal pH*\", \"bbox\": [4, 202, 39, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Before\", \"bbox\": [14, 213, 39, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 213, 231, 223]}, {\"cell\": \"6.8 ± 0.1\", \"bbox\": [279, 213, 311, 223]}, {\"cell\": \"6.8 ± 0.2\", \"bbox\": [359, 213, 391, 223]}, {\"cell\": \"6.7 ± 0.7\", \"bbox\": [442, 213, 474, 223]}, {\"cell\": \" After\", \"bbox\": [14, 223, 34, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 223, 231, 233]}, {\"cell\": \"6.8 ± 0.1\", \"bbox\": [279, 223, 311, 233]}, {\"cell\": \"6.6 ± 0.4\", \"bbox\": [359, 223, 391, 233]}, {\"cell\": \"6.6 ± 0.7\", \"bbox\": [442, 223, 474, 233]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1995200_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}925{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Aspirin</b></td><td colspan=\\\"2\\\"><b>Antihypertensives</b></td><td colspan=\\\"2\\\"><b>Statin</b></td><td colspan=\\\"2\\\"><b>Any Rx</b></td></tr><tr><td><b>Practice</b></td><td><b>Eligible</b></td><td><b>On treatment (% of eligible)</b></td><td><b>Eligible</b></td><td><b>On treatment (% of eligible)</b></td><td><b>Eligible</b></td><td><b>On treatment (% of eligible)</b></td><td><b>Eligible</b></td><td><b>On treatment (% of eligible)</b></td></tr></thead><tbody><tr><td>PN1</td><td>40</td><td>[EMPTY_CELL]</td><td>22</td><td>13 (59.1%)</td><td>43</td><td>23 (53.5%)</td><td>44</td><td>33 (75.0%)</td></tr><tr><td>PN2</td><td>65</td><td>[EMPTY_CELL]</td><td>29</td><td>19 (65.5%)</td><td>69</td><td>59 (85.5%)</td><td>70</td><td>62 (88.6%)</td></tr><tr><td>PN3</td><td>70</td><td>[EMPTY_CELL]</td><td>52</td><td>27 (51.9%)</td><td>76</td><td>56 (73.7%)</td><td>76</td><td>65 (85.5%)</td></tr><tr><td>PN4</td><td>98</td><td>[EMPTY_CELL]</td><td>67</td><td>37 (55.2%)</td><td>105</td><td>62 (59.0%)</td><td>107</td><td>83 (77.6%)</td></tr><tr><td>All project nurse practices</td><td>273</td><td>[EMPTY_CELL]</td><td>170</td><td>96 (56.5%)</td><td>293</td><td>200 (68.3%)</td><td>297</td><td>243 (81.8%)</td></tr><tr><td>Info1</td><td>51</td><td>[EMPTY_CELL]</td><td>36</td><td>9 (25.0%)</td><td>57</td><td>31 (54.4%)</td><td>57</td><td>35 (61.4%)</td></tr><tr><td>Info2</td><td>38</td><td>[EMPTY_CELL]</td><td>22</td><td>4 (18.2%)</td><td>43</td><td>23 (53.5%)</td><td>43</td><td>24 (55.8%)</td></tr><tr><td>All information only practices</td><td>89</td><td>[EMPTY_CELL]</td><td>58</td><td>13 (22.4%)</td><td>100</td><td>54 (54.0%)</td><td>100</td><td>59 (59.0%)</td></tr><tr><td>All practices</td><td>362</td><td>[EMPTY_CELL]</td><td>228</td><td>109 (47.8%)</td><td>393</td><td>254 (64.6%)</td><td>397</td><td>302 (7 6.1%)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Aspirin</b>\", \"bbox\": [118, 4, 144, 14]}, {\"cell\": \"<b>Antihypertensives</b>\", \"bbox\": [206, 4, 267, 14]}, {\"cell\": \"<b>Statin</b>\", \"bbox\": [332, 4, 352, 14]}, {\"cell\": \"<b>Any Rx</b>\", \"bbox\": [434, 4, 461, 14]}, {\"cell\": \"<b>Practice</b>\", \"bbox\": [26, 15, 54, 24]}, {\"cell\": \"<b>Eligible</b>\", \"bbox\": [81, 15, 106, 24]}, {\"cell\": \"<b>On treatment (% of eligible)</b>\", \"bbox\": [122, 15, 171, 34]}, {\"cell\": \"<b>Eligible</b>\", \"bbox\": [187, 15, 212, 24]}, {\"cell\": \"<b>On treatment (% of eligible)</b>\", \"bbox\": [228, 15, 276, 34]}, {\"cell\": \"<b>Eligible</b>\", \"bbox\": [292, 15, 317, 24]}, {\"cell\": \"<b>On treatment (% of eligible)</b>\", \"bbox\": [333, 15, 382, 34]}, {\"cell\": \"<b>Eligible</b>\", \"bbox\": [398, 15, 423, 24]}, {\"cell\": \"<b>On treatment (% of eligible)</b>\", \"bbox\": [439, 15, 487, 34]}, {\"cell\": \"PN1\", \"bbox\": [31, 46, 48, 56]}, {\"cell\": \"40\", \"bbox\": [89, 46, 99, 56]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 46, 165, 56]}, {\"cell\": \"22\", \"bbox\": [194, 46, 204, 56]}, {\"cell\": \"13 (59.1%)\", \"bbox\": [233, 46, 271, 56]}, {\"cell\": \"43\", \"bbox\": [300, 46, 310, 56]}, {\"cell\": \"23 (53.5%)\", \"bbox\": [339, 46, 376, 56]}, {\"cell\": \"44\", \"bbox\": [405, 46, 415, 56]}, {\"cell\": \"33 (75.0%)\", \"bbox\": [444, 46, 482, 56]}, {\"cell\": \"PN2\", \"bbox\": [31, 56, 48, 66]}, {\"cell\": \"65\", \"bbox\": [89, 56, 99, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 56, 165, 66]}, {\"cell\": \"29\", \"bbox\": [194, 56, 204, 66]}, {\"cell\": \"19 (65.5%)\", \"bbox\": [233, 56, 271, 66]}, {\"cell\": \"69\", \"bbox\": [300, 56, 310, 66]}, {\"cell\": \"59 (85.5%)\", \"bbox\": [339, 56, 376, 66]}, {\"cell\": \"70\", \"bbox\": [405, 56, 415, 66]}, {\"cell\": \"62 (88.6%)\", \"bbox\": [444, 56, 482, 66]}, {\"cell\": \"PN3\", \"bbox\": [31, 67, 48, 76]}, {\"cell\": \"70\", \"bbox\": [89, 67, 99, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 67, 165, 76]}, {\"cell\": \"52\", \"bbox\": [194, 67, 204, 76]}, {\"cell\": \"27 (51.9%)\", \"bbox\": [233, 67, 271, 76]}, {\"cell\": \"76\", \"bbox\": [300, 67, 310, 76]}, {\"cell\": \"56 (73.7%)\", \"bbox\": [339, 67, 376, 76]}, {\"cell\": \"76\", \"bbox\": [405, 67, 415, 76]}, {\"cell\": \"65 (85.5%)\", \"bbox\": [444, 67, 482, 76]}, {\"cell\": \"PN4\", \"bbox\": [31, 77, 48, 87]}, {\"cell\": \"98\", \"bbox\": [89, 77, 99, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 77, 165, 87]}, {\"cell\": \"67\", \"bbox\": [194, 77, 204, 87]}, {\"cell\": \"37 (55.2%)\", \"bbox\": [233, 77, 271, 87]}, {\"cell\": \"105\", \"bbox\": [298, 77, 312, 87]}, {\"cell\": \"62 (59.0%)\", \"bbox\": [339, 77, 376, 87]}, {\"cell\": \"107\", \"bbox\": [403, 77, 418, 87]}, {\"cell\": \"83 (77.6%)\", \"bbox\": [444, 77, 482, 87]}, {\"cell\": \"All project nurse practices\", \"bbox\": [11, 87, 69, 106]}, {\"cell\": \"273\", \"bbox\": [87, 87, 101, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 87, 165, 97]}, {\"cell\": \"170\", \"bbox\": [192, 87, 206, 97]}, {\"cell\": \"96 (56.5%)\", \"bbox\": [233, 87, 271, 97]}, {\"cell\": \"293\", \"bbox\": [298, 87, 312, 97]}, {\"cell\": \"200 (68.3%)\", \"bbox\": [337, 87, 378, 97]}, {\"cell\": \"297\", \"bbox\": [403, 87, 418, 97]}, {\"cell\": \"243 (81.8%)\", \"bbox\": [442, 87, 484, 97]}, {\"cell\": \"Info1\", \"bbox\": [30, 119, 49, 128]}, {\"cell\": \"51\", \"bbox\": [89, 119, 99, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [132, 119, 161, 128]}, {\"cell\": \"36\", \"bbox\": [194, 119, 204, 128]}, {\"cell\": \"9 (25.0%)\", \"bbox\": [235, 119, 269, 128]}, {\"cell\": \"57\", \"bbox\": [300, 119, 310, 128]}, {\"cell\": \"31 (54.4%)\", \"bbox\": [339, 119, 376, 128]}, {\"cell\": \"57\", \"bbox\": [405, 119, 415, 128]}, {\"cell\": \"35 (61.4%)\", \"bbox\": [444, 119, 482, 128]}, {\"cell\": \"Info2\", \"bbox\": [30, 129, 49, 139]}, {\"cell\": \"38\", \"bbox\": [89, 129, 99, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 129, 163, 139]}, {\"cell\": \"22\", \"bbox\": [194, 129, 204, 139]}, {\"cell\": \"4 (18.2%)\", \"bbox\": [235, 129, 269, 139]}, {\"cell\": \"43\", \"bbox\": [300, 129, 310, 139]}, {\"cell\": \"23 (53.5%)\", \"bbox\": [339, 129, 376, 139]}, {\"cell\": \"43\", \"bbox\": [405, 129, 415, 139]}, {\"cell\": \"24 (55.8%)\", \"bbox\": [444, 129, 482, 139]}, {\"cell\": \"All information only practices\", \"bbox\": [6, 139, 73, 158]}, {\"cell\": \"89\", \"bbox\": [89, 139, 99, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [130, 139, 163, 149]}, {\"cell\": \"58\", \"bbox\": [194, 139, 204, 149]}, {\"cell\": \"13 (22.4%)\", \"bbox\": [233, 139, 271, 149]}, {\"cell\": \"100\", \"bbox\": [298, 139, 312, 149]}, {\"cell\": \"54 (54.0%)\", \"bbox\": [339, 139, 376, 149]}, {\"cell\": \"100\", \"bbox\": [403, 139, 418, 149]}, {\"cell\": \"59 (59.0%)\", \"bbox\": [444, 139, 482, 149]}, {\"cell\": \"All practices\", \"bbox\": [18, 171, 61, 180]}, {\"cell\": \"362\", \"bbox\": [87, 171, 101, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [128, 171, 165, 180]}, {\"cell\": \"228\", \"bbox\": [192, 171, 206, 180]}, {\"cell\": \"109 (47.8%)\", \"bbox\": [231, 171, 273, 180]}, {\"cell\": \"393\", \"bbox\": [298, 171, 312, 180]}, {\"cell\": \"254 (64.6%)\", \"bbox\": [337, 171, 378, 180]}, {\"cell\": \"397\", \"bbox\": [403, 171, 418, 180]}, {\"cell\": \"302 (7 6.1%)\", \"bbox\": [441, 171, 485, 180]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2278139_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}926{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Ratio</b></td><td><b>Cases analysed out of 93</b></td><td><b>Cases >95<sup>th</sup>percentile</b></td><td><b>Cases of suspected steroid disorder with ratio >95<sup>th</sup>percentile (% of those with ratio >95<sup>th</sup>percentile)</b></td><td><b>Sensitivity</b></td><td><b>Specificity</b></td><td><b>Positive predictive value</b></td><td><b>Negative predictive value</b></td></tr></thead><tbody><tr><td>17HP/(THE + THF + 5αTHF)</td><td>93 (100%)</td><td>18</td><td>4 (22%)</td><td>100%</td><td>84%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>PT/(THE + THF + 5αTHF)</td><td>92 (99%)</td><td>16</td><td>4 (25%)</td><td>100%</td><td>86%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>PTONE/(THE + THF + 5αTHF)</td><td>61 (65%)</td><td>11</td><td>5 (45%)</td><td>100%</td><td>89%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>THS/(THE + THF + 5αTHF)</td><td>92 (99%)</td><td>23</td><td>4(17%)</td><td>100%</td><td>78%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>DHEA/(THE + THF + 5αTHF)</td><td>90 (96%)</td><td>12</td><td>2 (17%)</td><td>100%</td><td>90%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>(17HP + PT)/(An + Et)</td><td>85 (90%)</td><td>6</td><td>2 (33%)</td><td>100%</td><td>95%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>(THF + 5αTHF)/THE</td><td>93 (100%)</td><td>7</td><td>1 (14%)</td><td>100%</td><td>93%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>THE/(THF + 5αTHF)</td><td>93 (100%)</td><td>9</td><td>1 (11%)</td><td>100%</td><td>91%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>(An + Et)/(THE + THF + 5αTHF)</td><td>89 (95%)</td><td>6</td><td>1 (17%)</td><td>100%</td><td>94%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>Et/An</td><td>84 (89%)</td><td>6</td><td>2 (33%)</td><td>100%</td><td>95%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>THF/5αTHF</td><td>93 (100%)</td><td>10</td><td>2 (20%)</td><td>100%</td><td>91%</td><td>[EMPTY_CELL]</td><td>100%</td></tr><tr><td>THB/5αTHB</td><td>86 (91%)</td><td>6</td><td>1 (17%)</td><td>100%</td><td>94%</td><td>[EMPTY_CELL]</td><td>100%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Ratio</b>\", \"bbox\": [1, 4, 20, 13]}, {\"cell\": \"<b>Cases analysed out of 93</b>\", \"bbox\": [104, 4, 158, 22]}, {\"cell\": \"<b>Cases >95<sup>th</sup>percentile</b>\", \"bbox\": [165, 2, 207, 22]}, {\"cell\": \"<b>Cases of suspected steroid disorder with ratio >95<sup>th</sup>percentile (% of those with ratio >95<sup>th</sup>percentile)</b>\", \"bbox\": [214, 4, 310, 40]}, {\"cell\": \"<b>Sensitivity</b>\", \"bbox\": [317, 4, 354, 13]}, {\"cell\": \"<b>Specificity</b>\", \"bbox\": [361, 4, 398, 13]}, {\"cell\": \"<b>Positive predictive value</b>\", \"bbox\": [405, 4, 441, 31]}, {\"cell\": \"<b>Negative predictive value</b>\", \"bbox\": [448, 4, 484, 31]}, {\"cell\": \"17HP/(THE + THF + 5αTHF)\", \"bbox\": [1, 44, 87, 53]}, {\"cell\": \"93 (100%)\", \"bbox\": [104, 44, 137, 53]}, {\"cell\": \"18\", \"bbox\": [165, 44, 174, 53]}, {\"cell\": \"4 (22%)\", \"bbox\": [214, 44, 240, 53]}, {\"cell\": \"100%\", \"bbox\": [317, 44, 336, 53]}, {\"cell\": \"84%\", \"bbox\": [361, 44, 376, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 44, 420, 53]}, {\"cell\": \"100%\", \"bbox\": [448, 44, 467, 53]}, {\"cell\": \"PT/(THE + THF + 5αTHF)\", \"bbox\": [1, 58, 78, 67]}, {\"cell\": \"92 (99%)\", \"bbox\": [104, 58, 134, 67]}, {\"cell\": \"16\", \"bbox\": [165, 58, 174, 67]}, {\"cell\": \"4 (25%)\", \"bbox\": [214, 58, 240, 67]}, {\"cell\": \"100%\", \"bbox\": [317, 58, 336, 67]}, {\"cell\": \"86%\", \"bbox\": [361, 58, 376, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 58, 420, 67]}, {\"cell\": \"100%\", \"bbox\": [448, 58, 467, 67]}, {\"cell\": \"PTONE/(THE + THF + 5αTHF)\", \"bbox\": [1, 72, 92, 81]}, {\"cell\": \"61 (65%)\", \"bbox\": [104, 72, 134, 81]}, {\"cell\": \"11\", \"bbox\": [165, 72, 174, 81]}, {\"cell\": \"5 (45%)\", \"bbox\": [214, 72, 240, 81]}, {\"cell\": \"100%\", \"bbox\": [317, 72, 336, 81]}, {\"cell\": \"89%\", \"bbox\": [361, 72, 376, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 72, 420, 81]}, {\"cell\": \"100%\", \"bbox\": [448, 72, 467, 81]}, {\"cell\": \"THS/(THE + THF + 5αTHF)\", \"bbox\": [1, 86, 82, 95]}, {\"cell\": \"92 (99%)\", \"bbox\": [104, 86, 134, 95]}, {\"cell\": \"23\", \"bbox\": [165, 86, 174, 95]}, {\"cell\": \"4(17%)\", \"bbox\": [214, 86, 237, 95]}, {\"cell\": \"100%\", \"bbox\": [317, 86, 336, 95]}, {\"cell\": \"78%\", \"bbox\": [361, 86, 376, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 86, 420, 95]}, {\"cell\": \"100%\", \"bbox\": [448, 86, 467, 95]}, {\"cell\": \"DHEA/(THE + THF + 5αTHF)\", \"bbox\": [1, 100, 89, 109]}, {\"cell\": \"90 (96%)\", \"bbox\": [104, 100, 134, 109]}, {\"cell\": \"12\", \"bbox\": [165, 100, 174, 109]}, {\"cell\": \"2 (17%)\", \"bbox\": [214, 100, 240, 109]}, {\"cell\": \"100%\", \"bbox\": [317, 100, 336, 109]}, {\"cell\": \"90%\", \"bbox\": [361, 100, 376, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 100, 420, 109]}, {\"cell\": \"100%\", \"bbox\": [448, 100, 467, 109]}, {\"cell\": \"(17HP + PT)/(An + Et)\", \"bbox\": [1, 114, 69, 123]}, {\"cell\": \"85 (90%)\", \"bbox\": [104, 114, 134, 123]}, {\"cell\": \"6\", \"bbox\": [165, 114, 171, 123]}, {\"cell\": \"2 (33%)\", \"bbox\": [214, 114, 240, 123]}, {\"cell\": \"100%\", \"bbox\": [317, 114, 336, 123]}, {\"cell\": \"95%\", \"bbox\": [361, 114, 376, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 114, 420, 123]}, {\"cell\": \"100%\", \"bbox\": [448, 114, 467, 123]}, {\"cell\": \"(THF + 5αTHF)/THE\", \"bbox\": [1, 128, 62, 137]}, {\"cell\": \"93 (100%)\", \"bbox\": [104, 128, 137, 137]}, {\"cell\": \"7\", \"bbox\": [165, 128, 171, 137]}, {\"cell\": \"1 (14%)\", \"bbox\": [214, 128, 240, 137]}, {\"cell\": \"100%\", \"bbox\": [317, 128, 336, 137]}, {\"cell\": \"93%\", \"bbox\": [361, 128, 376, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 128, 420, 137]}, {\"cell\": \"100%\", \"bbox\": [448, 128, 467, 137]}, {\"cell\": \"THE/(THF + 5αTHF)\", \"bbox\": [1, 142, 62, 151]}, {\"cell\": \"93 (100%)\", \"bbox\": [104, 142, 137, 151]}, {\"cell\": \"9\", \"bbox\": [165, 142, 171, 151]}, {\"cell\": \"1 (11%)\", \"bbox\": [214, 142, 240, 151]}, {\"cell\": \"100%\", \"bbox\": [317, 142, 336, 151]}, {\"cell\": \"91%\", \"bbox\": [361, 142, 376, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 142, 420, 151]}, {\"cell\": \"100%\", \"bbox\": [448, 142, 467, 151]}, {\"cell\": \"(An + Et)/(THE + THF + 5αTHF)\", \"bbox\": [1, 156, 97, 165]}, {\"cell\": \"89 (95%)\", \"bbox\": [104, 156, 134, 165]}, {\"cell\": \"6\", \"bbox\": [165, 156, 171, 165]}, {\"cell\": \"1 (17%)\", \"bbox\": [214, 156, 240, 165]}, {\"cell\": \"100%\", \"bbox\": [317, 156, 336, 165]}, {\"cell\": \"94%\", \"bbox\": [361, 156, 376, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 156, 420, 165]}, {\"cell\": \"100%\", \"bbox\": [448, 156, 467, 165]}, {\"cell\": \"Et/An\", \"bbox\": [1, 170, 20, 179]}, {\"cell\": \"84 (89%)\", \"bbox\": [104, 170, 134, 179]}, {\"cell\": \"6\", \"bbox\": [165, 170, 171, 179]}, {\"cell\": \"2 (33%)\", \"bbox\": [214, 170, 240, 179]}, {\"cell\": \"100%\", \"bbox\": [317, 170, 336, 179]}, {\"cell\": \"95%\", \"bbox\": [361, 170, 376, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 170, 420, 179]}, {\"cell\": \"100%\", \"bbox\": [448, 170, 467, 179]}, {\"cell\": \"THF/5αTHF\", \"bbox\": [1, 184, 38, 193]}, {\"cell\": \"93 (100%)\", \"bbox\": [104, 184, 137, 193]}, {\"cell\": \"10\", \"bbox\": [165, 184, 174, 193]}, {\"cell\": \"2 (20%)\", \"bbox\": [214, 184, 240, 193]}, {\"cell\": \"100%\", \"bbox\": [317, 184, 336, 193]}, {\"cell\": \"91%\", \"bbox\": [361, 184, 376, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 184, 420, 193]}, {\"cell\": \"100%\", \"bbox\": [448, 184, 467, 193]}, {\"cell\": \"THB/5αTHB\", \"bbox\": [1, 198, 39, 207]}, {\"cell\": \"86 (91%)\", \"bbox\": [104, 198, 134, 207]}, {\"cell\": \"6\", \"bbox\": [165, 198, 171, 207]}, {\"cell\": \"1 (17%)\", \"bbox\": [214, 198, 240, 207]}, {\"cell\": \"100%\", \"bbox\": [317, 198, 336, 207]}, {\"cell\": \"94%\", \"bbox\": [361, 198, 376, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 198, 420, 207]}, {\"cell\": \"100%\", \"bbox\": [448, 198, 467, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4397675_001_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}927{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Endometrial Cancer (N = 42)</b></td><td><b>Cervical Cancer (N = 13)</b></td><td><b>Ovarian Cancer (N = 14)</b></td><td><b>Group I (N = 20)</b></td><td><b>Group II (N = 23)</b></td></tr></thead><tbody><tr><td>CD11a vs. CD54 (r = 0.444920; p = 0.0032)</td><td>(−)</td><td>[EMPTY_CELL]</td><td>(−)</td><td>(−)</td></tr><tr><td>CD11b vs. CD64 (r = 0.390416; p = 0.0106)</td><td>CD11b vs. CD64 (r = 0.556329; p = 0.0484)</td><td>[EMPTY_CELL]</td><td>(−)</td><td>CD11b vs. CD64 (r = 0.534304; p = 0.0087)</td></tr><tr><td>(−)</td><td>CD11b vs. CD62 L (r = 0.789189; p = 0.0014)</td><td>[EMPTY_CELL]</td><td>(−)</td><td>(−)</td></tr><tr><td>(−)</td><td>CD11c vs. CD64 (r = − 0.645134; p = 0.0173)</td><td>[EMPTY_CELL]</td><td>(−)</td><td>(−)</td></tr><tr><td>(−)</td><td>CD11c vs. HLA-DR (r = 0.672398; p = 0.0119)</td><td>[EMPTY_CELL]</td><td>CD11c vs. HLA-DR (r = 0.445866; p = 0.0488)</td><td>(−)</td></tr><tr><td>(−)</td><td>(−)</td><td>[EMPTY_CELL]</td><td>(−)</td><td>(−)</td></tr><tr><td>(−)</td><td>(−)</td><td>[EMPTY_CELL]</td><td>(−)</td><td>CD16 vs. HLA-DR (r = − 0.506677; p = 0.0137)</td></tr><tr><td>CD54 vs. CD62 L (r = 0.518139; p = 0.0005)</td><td>CD54 vs. CD62 L (r = 0.570250; p = 0.0419)</td><td>[EMPTY_CELL]</td><td>(−)</td><td>CD54 vs. CD62 L (r = 0.426489; p = 0.0425)</td></tr><tr><td>(−)</td><td>(−)</td><td>[EMPTY_CELL]</td><td>CD54 vs. HLA-DR (r = −0.476692; p = 0.0336)</td><td>(−)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Endometrial Cancer (N = 42)</b>\", \"bbox\": [1, 4, 70, 22]}, {\"cell\": \"<b>Cervical Cancer (N = 13)</b>\", \"bbox\": [115, 4, 170, 22]}, {\"cell\": \"<b>Ovarian Cancer (N = 14)</b>\", \"bbox\": [220, 4, 275, 22]}, {\"cell\": \"<b>Group I (N = 20)</b>\", \"bbox\": [320, 4, 377, 13]}, {\"cell\": \"<b>Group II (N = 23)</b>\", \"bbox\": [425, 4, 484, 13]}, {\"cell\": \"CD11a vs. CD54 (r = 0.444920; p = 0.0032)\", \"bbox\": [1, 26, 53, 53]}, {\"cell\": \"(−)\", \"bbox\": [115, 26, 126, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 26, 273, 53]}, {\"cell\": \"(−)\", \"bbox\": [320, 26, 331, 35]}, {\"cell\": \"(−)\", \"bbox\": [425, 26, 436, 35]}, {\"cell\": \"CD11b vs. CD64 (r = 0.390416; p = 0.0106)\", \"bbox\": [0, 58, 54, 85]}, {\"cell\": \"CD11b vs. CD64 (r = 0.556329; p = 0.0484)\", \"bbox\": [115, 58, 169, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 58, 231, 67]}, {\"cell\": \"(−)\", \"bbox\": [320, 58, 331, 67]}, {\"cell\": \"CD11b vs. CD64 (r = 0.534304; p = 0.0087)\", \"bbox\": [425, 58, 479, 85]}, {\"cell\": \"(−)\", \"bbox\": [1, 90, 11, 99]}, {\"cell\": \"CD11b vs. CD62 L (r = 0.789189; p = 0.0014)\", \"bbox\": [115, 90, 175, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 90, 231, 99]}, {\"cell\": \"(−)\", \"bbox\": [320, 90, 331, 99]}, {\"cell\": \"(−)\", \"bbox\": [425, 90, 436, 99]}, {\"cell\": \"(−)\", \"bbox\": [1, 122, 11, 131]}, {\"cell\": \"CD11c vs. CD64 (r = − 0.645134; p = 0.0173)\", \"bbox\": [115, 122, 168, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 122, 231, 131]}, {\"cell\": \"(−)\", \"bbox\": [320, 122, 331, 131]}, {\"cell\": \"(−)\", \"bbox\": [425, 122, 436, 131]}, {\"cell\": \"(−)\", \"bbox\": [1, 154, 11, 163]}, {\"cell\": \"CD11c vs. HLA-DR (r = 0.672398; p = 0.0119)\", \"bbox\": [115, 154, 175, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 154, 231, 163]}, {\"cell\": \"CD11c vs. HLA-DR (r = 0.445866; p = 0.0488)\", \"bbox\": [320, 154, 381, 181]}, {\"cell\": \"(−)\", \"bbox\": [425, 154, 436, 163]}, {\"cell\": \"(−)\", \"bbox\": [1, 186, 11, 195]}, {\"cell\": \"(−)\", \"bbox\": [115, 186, 126, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 186, 275, 213]}, {\"cell\": \"(−)\", \"bbox\": [320, 186, 331, 195]}, {\"cell\": \"(−)\", \"bbox\": [425, 186, 436, 195]}, {\"cell\": \"(−)\", \"bbox\": [1, 218, 11, 227]}, {\"cell\": \"(−)\", \"bbox\": [115, 218, 126, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 218, 231, 227]}, {\"cell\": \"(−)\", \"bbox\": [320, 218, 331, 227]}, {\"cell\": \"CD16 vs. HLA-DR (r = − 0.506677; p = 0.0137)\", \"bbox\": [425, 218, 482, 245]}, {\"cell\": \"CD54 vs. CD62 L (r = 0.518139; p = 0.0005)\", \"bbox\": [1, 250, 56, 277]}, {\"cell\": \"CD54 vs. CD62 L (r = 0.570250; p = 0.0419)\", \"bbox\": [115, 250, 171, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 250, 275, 277]}, {\"cell\": \"(−)\", \"bbox\": [320, 250, 331, 259]}, {\"cell\": \"CD54 vs. CD62 L (r = 0.426489; p = 0.0425)\", \"bbox\": [425, 250, 481, 277]}, {\"cell\": \"(−)\", \"bbox\": [1, 282, 11, 291]}, {\"cell\": \"(−)\", \"bbox\": [115, 282, 126, 291]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [220, 282, 231, 291]}, {\"cell\": \"CD54 vs. HLA-DR (r = −0.476692; p = 0.0336)\", \"bbox\": [320, 282, 377, 309]}, {\"cell\": \"(−)\", \"bbox\": [425, 282, 436, 291]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4416309_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}928{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Black</b></td><td colspan=\\\"4\\\"><b>White</b></td></tr><tr><td><b>Sex</b></td><td><b>Biological age group<sup>a</sup></b></td><td><b><i>n</i></b></td><td><b>Age (years)</b></td><td><b>HAZ<sup>b</sup></b></td><td><b>BAZ<sup>c</sup></b></td><td><b><i>n</i></b></td><td><b>Age (years)</b></td><td><b>HAZ<sup>b</sup></b></td><td><b>BAZ<sup>c</sup></b></td></tr></thead><tbody><tr><td>Girls</td><td>1</td><td>157</td><td>13.2 ± 1.0</td><td>[EMPTY_CELL]</td><td>0.22 ± 1.19</td><td>67</td><td>13.8 ± 1.1</td><td>0.41 ± 1.20</td><td>0.15 ± 1.08</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>165</td><td>14.2 ± 0.9</td><td>[EMPTY_CELL]</td><td>0.34 ± 1.14</td><td>64</td><td>14.8 ± 1.1</td><td>0.39 ± 1.01</td><td>0.26 ± 1.10</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>164</td><td>15.1 ± 0.9</td><td>[EMPTY_CELL]</td><td>0.44 ± 1.08</td><td>64</td><td>15.7 ± 1.2</td><td>0.29 ± 1.06</td><td>0.14 ± 1.01</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>166</td><td>16.1 ± 1.0</td><td>[EMPTY_CELL]</td><td>0.48 ± 1.07</td><td>56</td><td>16.5 ± 1.1</td><td>0.25 ± 1.05</td><td>0.27 ± 0.98</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>154</td><td>17.0 ± 0.9</td><td>[EMPTY_CELL]</td><td>0.51 ± 1.06</td><td>54</td><td>17.5 ± 1.1</td><td>0.20 ± 0.96</td><td>0.18 ± 1.05</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>123</td><td>18.0 ± 0.9</td><td>[EMPTY_CELL]</td><td>0.64 ± 1.08</td><td>40</td><td>18.4 ± 1.1</td><td>0.34 ± 1.13</td><td>0.31 ± 1.12</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>98</td><td>18.9 ± 0.8</td><td>[EMPTY_CELL]</td><td>0.62 ± 1.03</td><td>36</td><td>19.2 ± 1.0</td><td>0.39 ± 1.08</td><td>0.43 ± 1.14</td></tr><tr><td>Boys</td><td>0</td><td>185</td><td>14.5 ± 1.1</td><td>[EMPTY_CELL]</td><td>–0.18 ± 1.25</td><td>67</td><td>13.9 ± 0.9</td><td>0.56 ± 1.19</td><td>0.09 ± 1.15</td></tr><tr><td>[EMPTY_CELL]</td><td>1</td><td>186</td><td>15.5 ± 1.1</td><td>[EMPTY_CELL]</td><td>–0.26 ± 1.18</td><td>58</td><td>14.7 ± 0.8</td><td>0.69 ± 1.10</td><td>0.16 ± 1.02</td></tr><tr><td>[EMPTY_CELL]</td><td>2</td><td>175</td><td>16.5 ± 1.1</td><td>[EMPTY_CELL]</td><td>–0.35 ± 1.12</td><td>58</td><td>15.8 ± 0.8</td><td>0.53 ± 1.09</td><td>0.14 ± 1.09</td></tr><tr><td>[EMPTY_CELL]</td><td>3</td><td>166</td><td>17.4 ± 1.0</td><td>[EMPTY_CELL]</td><td>–0.39 ± 1.13</td><td>57</td><td>16.8 ± 0.9</td><td>0.37 ± 1.08</td><td>0.21 ± 0.99</td></tr><tr><td>[EMPTY_CELL]</td><td>4</td><td>140</td><td>18.3 ± 1.0</td><td>[EMPTY_CELL]</td><td>–0.41 ± 1.20</td><td>51</td><td>17.8 ± 0.8</td><td>0.29 ± 1.09</td><td>0.10 ± 1.00</td></tr><tr><td>[EMPTY_CELL]</td><td>5</td><td>115</td><td>19.4 ± 1.1</td><td>[EMPTY_CELL]</td><td>–0.45 ± 1.01</td><td>31</td><td>18.5 ± 0.7</td><td>0.10 ± 1.06</td><td>0.36 ± 0.98</td></tr><tr><td>[EMPTY_CELL]</td><td>6</td><td>75</td><td>20.3 ± 1.1</td><td>[EMPTY_CELL]</td><td>–0.38 ± 1.21</td><td>30</td><td>19.3 ± 0.8</td><td>0.00 ± 1.04</td><td>0.35 ± 1.01</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Black</b>\", \"bbox\": [211, 5, 233, 16]}, {\"cell\": \"<b>White</b>\", \"bbox\": [404, 5, 429, 16]}, {\"cell\": \"<b>Sex</b>\", \"bbox\": [1, 22, 16, 32]}, {\"cell\": \"<b>Biological age group<sup>a</sup></b>\", \"bbox\": [31, 20, 116, 32]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [132, 24, 139, 30]}, {\"cell\": \"<b>Age (years)</b>\", \"bbox\": [154, 22, 199, 32]}, {\"cell\": \"<b>HAZ<sup>b</sup></b>\", \"bbox\": [223, 20, 245, 32]}, {\"cell\": \"<b>BAZ<sup>c</sup></b>\", \"bbox\": [283, 20, 303, 32]}, {\"cell\": \"<b><i>n</i></b>\", \"bbox\": [331, 24, 337, 30]}, {\"cell\": \"<b>Age (years)</b>\", \"bbox\": [351, 22, 395, 32]}, {\"cell\": \"<b>HAZ<sup>b</sup></b>\", \"bbox\": [417, 20, 439, 32]}, {\"cell\": \"<b>BAZ<sup>c</sup></b>\", \"bbox\": [473, 20, 493, 32]}, {\"cell\": \"Girls\", \"bbox\": [1, 38, 19, 48]}, {\"cell\": \"1\", \"bbox\": [70, 38, 77, 48]}, {\"cell\": \"157\", \"bbox\": [127, 38, 143, 48]}, {\"cell\": \"13.2 ± 1.0\", \"bbox\": [157, 38, 196, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 38, 258, 48]}, {\"cell\": \"0.22 ± 1.19\", \"bbox\": [274, 38, 317, 48]}, {\"cell\": \"67\", \"bbox\": [328, 38, 340, 48]}, {\"cell\": \"13.8 ± 1.1\", \"bbox\": [354, 38, 392, 48]}, {\"cell\": \"0.41 ± 1.20\", \"bbox\": [407, 38, 450, 48]}, {\"cell\": \"0.15 ± 1.08\", \"bbox\": [461, 38, 505, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [70, 49, 77, 59]}, {\"cell\": \"165\", \"bbox\": [127, 49, 143, 59]}, {\"cell\": \"14.2 ± 0.9\", \"bbox\": [157, 49, 196, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 49, 258, 59]}, {\"cell\": \"0.34 ± 1.14\", \"bbox\": [274, 49, 317, 59]}, {\"cell\": \"64\", \"bbox\": [328, 49, 340, 59]}, {\"cell\": \"14.8 ± 1.1\", \"bbox\": [354, 49, 392, 59]}, {\"cell\": \"0.39 ± 1.01\", \"bbox\": [407, 49, 450, 59]}, {\"cell\": \"0.26 ± 1.10\", \"bbox\": [461, 49, 505, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [70, 60, 77, 70]}, {\"cell\": \"164\", \"bbox\": [127, 60, 143, 70]}, {\"cell\": \"15.1 ± 0.9\", \"bbox\": [157, 60, 196, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 60, 258, 70]}, {\"cell\": \"0.44 ± 1.08\", \"bbox\": [274, 60, 317, 70]}, {\"cell\": \"64\", \"bbox\": [328, 60, 340, 70]}, {\"cell\": \"15.7 ± 1.2\", \"bbox\": [354, 60, 392, 70]}, {\"cell\": \"0.29 ± 1.06\", \"bbox\": [407, 60, 450, 70]}, {\"cell\": \"0.14 ± 1.01\", \"bbox\": [461, 60, 505, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [70, 71, 77, 81]}, {\"cell\": \"166\", \"bbox\": [127, 71, 143, 81]}, {\"cell\": \"16.1 ± 1.0\", \"bbox\": [157, 71, 196, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 71, 258, 81]}, {\"cell\": \"0.48 ± 1.07\", \"bbox\": [274, 71, 317, 81]}, {\"cell\": \"56\", \"bbox\": [328, 71, 340, 81]}, {\"cell\": \"16.5 ± 1.1\", \"bbox\": [354, 71, 392, 81]}, {\"cell\": \"0.25 ± 1.05\", \"bbox\": [407, 71, 450, 81]}, {\"cell\": \"0.27 ± 0.98\", \"bbox\": [461, 71, 505, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [70, 82, 77, 92]}, {\"cell\": \"154\", \"bbox\": [127, 82, 143, 92]}, {\"cell\": \"17.0 ± 0.9\", \"bbox\": [157, 82, 196, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 82, 258, 92]}, {\"cell\": \"0.51 ± 1.06\", \"bbox\": [274, 82, 317, 92]}, {\"cell\": \"54\", \"bbox\": [328, 82, 340, 92]}, {\"cell\": \"17.5 ± 1.1\", \"bbox\": [354, 82, 392, 92]}, {\"cell\": \"0.20 ± 0.96\", \"bbox\": [407, 82, 450, 92]}, {\"cell\": \"0.18 ± 1.05\", \"bbox\": [461, 82, 505, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [70, 93, 77, 103]}, {\"cell\": \"123\", \"bbox\": [127, 93, 143, 103]}, {\"cell\": \"18.0 ± 0.9\", \"bbox\": [157, 93, 196, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 93, 258, 103]}, {\"cell\": \"0.64 ± 1.08\", \"bbox\": [274, 93, 317, 103]}, {\"cell\": \"40\", \"bbox\": [328, 93, 340, 103]}, {\"cell\": \"18.4 ± 1.1\", \"bbox\": [354, 93, 392, 103]}, {\"cell\": \"0.34 ± 1.13\", \"bbox\": [407, 93, 450, 103]}, {\"cell\": \"0.31 ± 1.12\", \"bbox\": [461, 93, 505, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"7\", \"bbox\": [70, 104, 77, 114]}, {\"cell\": \"98\", \"bbox\": [130, 104, 141, 114]}, {\"cell\": \"18.9 ± 0.8\", \"bbox\": [157, 104, 196, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 104, 258, 114]}, {\"cell\": \"0.62 ± 1.03\", \"bbox\": [274, 104, 317, 114]}, {\"cell\": \"36\", \"bbox\": [328, 104, 340, 114]}, {\"cell\": \"19.2 ± 1.0\", \"bbox\": [354, 104, 392, 114]}, {\"cell\": \"0.39 ± 1.08\", \"bbox\": [407, 104, 450, 114]}, {\"cell\": \"0.43 ± 1.14\", \"bbox\": [461, 104, 505, 114]}, {\"cell\": \"Boys\", \"bbox\": [0, 115, 20, 125]}, {\"cell\": \"0\", \"bbox\": [70, 115, 77, 125]}, {\"cell\": \"185\", \"bbox\": [127, 115, 143, 125]}, {\"cell\": \"14.5 ± 1.1\", \"bbox\": [157, 115, 196, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 115, 258, 125]}, {\"cell\": \"–0.18 ± 1.25\", \"bbox\": [269, 115, 317, 125]}, {\"cell\": \"67\", \"bbox\": [328, 115, 340, 125]}, {\"cell\": \"13.9 ± 0.9\", \"bbox\": [354, 115, 392, 125]}, {\"cell\": \"0.56 ± 1.19\", \"bbox\": [407, 115, 450, 125]}, {\"cell\": \"0.09 ± 1.15\", \"bbox\": [461, 115, 505, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [70, 126, 77, 136]}, {\"cell\": \"186\", \"bbox\": [127, 126, 143, 136]}, {\"cell\": \"15.5 ± 1.1\", \"bbox\": [157, 126, 196, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 126, 258, 136]}, {\"cell\": \"–0.26 ± 1.18\", \"bbox\": [269, 126, 317, 136]}, {\"cell\": \"58\", \"bbox\": [328, 126, 340, 136]}, {\"cell\": \"14.7 ± 0.8\", \"bbox\": [354, 126, 392, 136]}, {\"cell\": \"0.69 ± 1.10\", \"bbox\": [407, 126, 450, 136]}, {\"cell\": \"0.16 ± 1.02\", \"bbox\": [461, 126, 505, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [70, 137, 77, 147]}, {\"cell\": \"175\", \"bbox\": [127, 137, 143, 147]}, {\"cell\": \"16.5 ± 1.1\", \"bbox\": [157, 137, 196, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 137, 258, 147]}, {\"cell\": \"–0.35 ± 1.12\", \"bbox\": [269, 137, 317, 147]}, {\"cell\": \"58\", \"bbox\": [328, 137, 340, 147]}, {\"cell\": \"15.8 ± 0.8\", \"bbox\": [354, 137, 392, 147]}, {\"cell\": \"0.53 ± 1.09\", \"bbox\": [407, 137, 450, 147]}, {\"cell\": \"0.14 ± 1.09\", \"bbox\": [461, 137, 505, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [70, 148, 77, 158]}, {\"cell\": \"166\", \"bbox\": [127, 148, 143, 158]}, {\"cell\": \"17.4 ± 1.0\", \"bbox\": [157, 148, 196, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 148, 258, 158]}, {\"cell\": \"–0.39 ± 1.13\", \"bbox\": [269, 148, 317, 158]}, {\"cell\": \"57\", \"bbox\": [328, 148, 340, 158]}, {\"cell\": \"16.8 ± 0.9\", \"bbox\": [354, 148, 392, 158]}, {\"cell\": \"0.37 ± 1.08\", \"bbox\": [407, 148, 450, 158]}, {\"cell\": \"0.21 ± 0.99\", \"bbox\": [461, 148, 505, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [70, 159, 77, 169]}, {\"cell\": \"140\", \"bbox\": [127, 159, 143, 169]}, {\"cell\": \"18.3 ± 1.0\", \"bbox\": [157, 159, 196, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 159, 258, 169]}, {\"cell\": \"–0.41 ± 1.20\", \"bbox\": [269, 159, 317, 169]}, {\"cell\": \"51\", \"bbox\": [328, 159, 340, 169]}, {\"cell\": \"17.8 ± 0.8\", \"bbox\": [354, 159, 392, 169]}, {\"cell\": \"0.29 ± 1.09\", \"bbox\": [407, 159, 450, 169]}, {\"cell\": \"0.10 ± 1.00\", \"bbox\": [461, 159, 505, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"5\", \"bbox\": [70, 170, 77, 180]}, {\"cell\": \"115\", \"bbox\": [127, 170, 143, 180]}, {\"cell\": \"19.4 ± 1.1\", \"bbox\": [157, 170, 196, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 170, 258, 180]}, {\"cell\": \"–0.45 ± 1.01\", \"bbox\": [269, 170, 317, 180]}, {\"cell\": \"31\", \"bbox\": [328, 170, 340, 180]}, {\"cell\": \"18.5 ± 0.7\", \"bbox\": [354, 170, 392, 180]}, {\"cell\": \"0.10 ± 1.06\", \"bbox\": [407, 170, 450, 180]}, {\"cell\": \"0.36 ± 0.98\", \"bbox\": [461, 170, 505, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6\", \"bbox\": [70, 181, 77, 191]}, {\"cell\": \"75\", \"bbox\": [130, 181, 141, 191]}, {\"cell\": \"20.3 ± 1.1\", \"bbox\": [157, 181, 196, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 181, 258, 191]}, {\"cell\": \"–0.38 ± 1.21\", \"bbox\": [269, 181, 317, 191]}, {\"cell\": \"30\", \"bbox\": [328, 181, 340, 191]}, {\"cell\": \"19.3 ± 0.8\", \"bbox\": [354, 181, 392, 191]}, {\"cell\": \"0.00 ± 1.04\", \"bbox\": [407, 181, 450, 191]}, {\"cell\": \"0.35 ± 1.01\", \"bbox\": [461, 181, 505, 191]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5947614_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}929{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"2\\\"><b>Variables</b></td><td><b>Breasr cancer patients (<i>n</i> = 378)</b></td><td><b>Breast benign tumors (<i>n</i> = 120)</b></td><td><b>Healthy (<i>n</i> = 40)</b></td></tr></thead><tbody><tr><td>Age</td><td>≤ 40 years</td><td>[EMPTY_CELL]</td><td>76 (63.3%)</td><td>12 (30%)</td></tr><tr><td>[EMPTY_CELL]</td><td>> 40 years</td><td>[EMPTY_CELL]</td><td>44 (36.7%)</td><td>28 (70%)</td></tr><tr><td>Menopause</td><td>Yes</td><td>[EMPTY_CELL]</td><td>32 (26.7%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>No</td><td>[EMPTY_CELL]</td><td>88 (73.3%)</td><td>[EMPTY_CELL]</td></tr><tr><td>Tumor size</td><td>≤ 2cm</td><td>[EMPTY_CELL]</td><td>67 (55.8%)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>> 2cm</td><td>[EMPTY_CELL]</td><td>53 (44.2%)</td><td>[EMPTY_CELL]</td></tr><tr><td>LN status</td><td>Negative</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Positive</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>TNM stage</td><td>I</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>II</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>III</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Tumor Grade</td><td>I</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>II-III</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>ER</td><td>Negative</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Positive</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>PR</td><td>Negative</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Positive</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>HER2</td><td>Negative</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Positive</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Ki67</td><td>≤ 14%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>> 14%</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Surgery</td><td>Mastectomy</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>BCS</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Chemotherapy</td><td>No</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>Yes</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [58, 11, 100, 21]}, {\"cell\": \"<b>Breasr cancer patients (<i>n</i> = 378)</b>\", \"bbox\": [165, 5, 263, 27]}, {\"cell\": \"<b>Breast benign tumors (<i>n</i> = 120)</b>\", \"bbox\": [293, 5, 387, 27]}, {\"cell\": \"<b>Healthy (<i>n</i> = 40)</b>\", \"bbox\": [434, 5, 470, 27]}, {\"cell\": \"Age\", \"bbox\": [4, 31, 23, 42]}, {\"cell\": \"≤ 40 years\", \"bbox\": [98, 28, 141, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 31, 238, 42]}, {\"cell\": \"76 (63.3%)\", \"bbox\": [316, 31, 363, 42]}, {\"cell\": \"12 (30%)\", \"bbox\": [433, 31, 472, 42]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 40 years\", \"bbox\": [98, 43, 141, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 46, 240, 57]}, {\"cell\": \"44 (36.7%)\", \"bbox\": [316, 46, 363, 57]}, {\"cell\": \"28 (70%)\", \"bbox\": [433, 46, 472, 57]}, {\"cell\": \"Menopause\", \"bbox\": [4, 61, 53, 72]}, {\"cell\": \"Yes\", \"bbox\": [111, 61, 128, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 61, 240, 72]}, {\"cell\": \"32 (26.7%)\", \"bbox\": [316, 61, 363, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"No\", \"bbox\": [112, 76, 126, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 76, 240, 87]}, {\"cell\": \"88 (73.3%)\", \"bbox\": [316, 76, 363, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tumor size\", \"bbox\": [4, 88, 51, 103]}, {\"cell\": \"≤ 2cm\", \"bbox\": [106, 88, 133, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 91, 240, 102]}, {\"cell\": \"67 (55.8%)\", \"bbox\": [316, 91, 363, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 2cm\", \"bbox\": [106, 103, 133, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 106, 240, 117]}, {\"cell\": \"53 (44.2%)\", \"bbox\": [316, 106, 363, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LN status\", \"bbox\": [4, 121, 45, 132]}, {\"cell\": \"Negative\", \"bbox\": [100, 121, 138, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 121, 240, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [102, 136, 136, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 136, 240, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"TNM stage\", \"bbox\": [4, 151, 52, 162]}, {\"cell\": \"I\", \"bbox\": [117, 151, 122, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 151, 238, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II\", \"bbox\": [115, 166, 124, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 166, 240, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"III\", \"bbox\": [113, 181, 125, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 181, 240, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Tumor Grade\", \"bbox\": [4, 196, 60, 207]}, {\"cell\": \"I\", \"bbox\": [117, 196, 122, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [193, 196, 235, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"II-III\", \"bbox\": [108, 211, 130, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 211, 240, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER\", \"bbox\": [4, 223, 19, 238]}, {\"cell\": \"Negative\", \"bbox\": [100, 226, 138, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 226, 238, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [102, 241, 136, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 241, 240, 252]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"PR\", \"bbox\": [4, 253, 19, 268]}, {\"cell\": \"Negative\", \"bbox\": [100, 256, 138, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 256, 238, 267]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [102, 271, 136, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 271, 240, 282]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"HER2\", \"bbox\": [4, 283, 31, 298]}, {\"cell\": \"Negative\", \"bbox\": [100, 286, 138, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 286, 240, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Positive\", \"bbox\": [102, 301, 136, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 301, 238, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Ki67\", \"bbox\": [4, 313, 26, 328]}, {\"cell\": \"≤ 14%\", \"bbox\": [105, 313, 134, 328]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 316, 240, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"> 14%\", \"bbox\": [105, 328, 134, 343]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 331, 240, 342]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Surgery\", \"bbox\": [4, 343, 38, 358]}, {\"cell\": \"Mastectomy\", \"bbox\": [94, 346, 145, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 346, 240, 357]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"BCS\", \"bbox\": [109, 358, 130, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 361, 238, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Chemotherapy\", \"bbox\": [4, 376, 65, 387]}, {\"cell\": \"No\", \"bbox\": [112, 376, 126, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 376, 238, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Yes\", \"bbox\": [111, 392, 128, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [188, 392, 240, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5356669_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}930{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td rowspan=\\\"2\\\" colspan=\\\"2\\\"><b>Single testers</b></td><td colspan=\\\"6\\\"><b>Repeat testers</b></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Crude</b></td><td colspan=\\\"2\\\"><b>Adjusted</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>n</b></td><td><b>%</b></td><td><b>n</b></td><td><b>%</b></td><td><b>OR</b></td><td><b>95% CI</b></td><td><b>OR</b></td><td><b>95% CI</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>41,129</td><td>88.9</td><td>5157</td><td>11.1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>2596</td><td>6.3</td><td>299</td><td>5.8</td><td>1</td><td>–</td><td>1</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>19,139</td><td>46.5</td><td>2582</td><td>50.1</td><td>1.17</td><td>(1.03–1.33)</td><td>1.08</td><td>(0.94–1.23)</td></tr><tr><td>[EMPTY_CELL]</td><td>19,394</td><td>47.2</td><td>2276</td><td>44.1</td><td>1.02</td><td>(0.90–1.16)</td><td>0.82</td><td>(0.72–0.93)</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>12,971</td><td>31.5</td><td>1516</td><td>29.4</td><td>1</td><td>–</td><td>1</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>22,363</td><td>54.4</td><td>2376</td><td>46.1</td><td>0.91</td><td>(0.85–0.97)</td><td>0.98</td><td>(0.91–1.06)</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>26,964</td><td>65.6</td><td>3006</td><td>58.3</td><td>1</td><td>–</td><td>1</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>2524</td><td>6.1</td><td>322</td><td>6.3</td><td>1.14</td><td>(1.01–1.29)</td><td>1.06</td><td>(0.93–1.20)</td></tr><tr><td>[EMPTY_CELL]</td><td>11,602</td><td>28.2</td><td>1828</td><td>35.4</td><td>1.41</td><td>(1.33–1.50)</td><td>1.37</td><td>(1.28–1.46)</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8559</td><td>21.0</td><td>529</td><td>10.4</td><td>1</td><td>–</td><td>1</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>16,191</td><td>39.7</td><td>1783</td><td>34.9</td><td>1.78</td><td>(1.61–1.97)</td><td>1.75</td><td>(1.58–1.94)</td></tr><tr><td>[EMPTY_CELL]</td><td>16,023</td><td>39.3</td><td>2801</td><td>54.8</td><td>2.83</td><td>(2.57–3.12)</td><td>2.80</td><td>(2.54–3.09)</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>29,257</td><td>73.8</td><td>3720</td><td>74.5</td><td>1</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>10,376</td><td>26.2</td><td>1273</td><td>25.5</td><td>0.96</td><td>(0.90–1.03)</td><td>–</td><td>–</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>30,763</td><td>75.2</td><td>3917</td><td>76.2</td><td>1</td><td>–</td><td>–</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>10,155</td><td>24.8</td><td>1223</td><td>23.8</td><td>0.95</td><td>(0.88–1.01)</td><td>–</td><td>–</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>26,968</td><td>65.9</td><td>3135</td><td>61.1</td><td>1</td><td>–</td><td>1</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>13,939</td><td>34.1</td><td>1995</td><td>38.9</td><td>1.23</td><td>(1.16–1.31)</td><td>1.10</td><td>(1.03–1.17)</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>34,088</td><td>82.9</td><td>4103</td><td>79.6</td><td>1</td><td>–</td><td>1</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>2610</td><td>6.4</td><td>721</td><td>14.0</td><td>2.30</td><td>(2.10–2.51)</td><td>2.08</td><td>(1.90–2.28)</td></tr><tr><td colspan=\\\"9\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>35,373</td><td>86.0</td><td>3910</td><td>75.8</td><td>1</td><td>–</td><td>1</td><td>–</td></tr><tr><td>[EMPTY_CELL]</td><td>5756</td><td>14.0</td><td>1247</td><td>24.2</td><td>1.96</td><td>(1.83–2.10)</td><td>1.85</td><td>(1.72–1.99)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Single testers</b>\", \"bbox\": [103, 4, 148, 13]}, {\"cell\": \"<b>Repeat testers</b>\", \"bbox\": [201, 4, 248, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Crude</b>\", \"bbox\": [293, 17, 314, 27]}, {\"cell\": \"<b>Adjusted</b>\", \"bbox\": [404, 17, 434, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>n</b>\", \"bbox\": [103, 30, 110, 40]}, {\"cell\": \"<b>%</b>\", \"bbox\": [156, 30, 164, 40]}, {\"cell\": \"<b>n</b>\", \"bbox\": [201, 30, 207, 40]}, {\"cell\": \"<b>%</b>\", \"bbox\": [248, 30, 256, 40]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [293, 30, 304, 40]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [338, 30, 362, 40]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [404, 30, 415, 40]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [449, 30, 473, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 18, 53]}, {\"cell\": \"41,129\", \"bbox\": [103, 43, 126, 53]}, {\"cell\": \"88.9\", \"bbox\": [156, 43, 171, 53]}, {\"cell\": \"5157\", \"bbox\": [201, 43, 218, 53]}, {\"cell\": \"11.1\", \"bbox\": [248, 43, 263, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 15, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 71, 30, 81]}, {\"cell\": \"2596\", \"bbox\": [103, 71, 121, 81]}, {\"cell\": \"6.3\", \"bbox\": [156, 71, 167, 81]}, {\"cell\": \"299\", \"bbox\": [201, 71, 214, 81]}, {\"cell\": \"5.8\", \"bbox\": [248, 71, 259, 81]}, {\"cell\": \"1\", \"bbox\": [293, 71, 299, 81]}, {\"cell\": \"–\", \"bbox\": [338, 75, 344, 79]}, {\"cell\": \"1\", \"bbox\": [404, 71, 410, 81]}, {\"cell\": \"–\", \"bbox\": [449, 75, 455, 79]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 85, 30, 95]}, {\"cell\": \"19,139\", \"bbox\": [103, 85, 126, 95]}, {\"cell\": \"46.5\", \"bbox\": [156, 85, 171, 95]}, {\"cell\": \"2582\", \"bbox\": [201, 85, 218, 95]}, {\"cell\": \"50.1\", \"bbox\": [248, 85, 263, 95]}, {\"cell\": \"1.17\", \"bbox\": [293, 85, 308, 95]}, {\"cell\": \"(1.03–1.33)\", \"bbox\": [338, 85, 374, 95]}, {\"cell\": \"1.08\", \"bbox\": [404, 85, 419, 95]}, {\"cell\": \"(0.94–1.23)\", \"bbox\": [449, 85, 484, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 99, 23, 109]}, {\"cell\": \"19,394\", \"bbox\": [103, 99, 126, 109]}, {\"cell\": \"47.2\", \"bbox\": [156, 99, 171, 109]}, {\"cell\": \"2276\", \"bbox\": [201, 99, 218, 109]}, {\"cell\": \"44.1\", \"bbox\": [248, 99, 263, 109]}, {\"cell\": \"1.02\", \"bbox\": [293, 99, 308, 109]}, {\"cell\": \"(0.90–1.16)\", \"bbox\": [338, 99, 374, 109]}, {\"cell\": \"0.82\", \"bbox\": [404, 99, 419, 109]}, {\"cell\": \"(0.72–0.93)\", \"bbox\": [449, 99, 484, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 112, 57, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 127, 24, 137]}, {\"cell\": \"12,971\", \"bbox\": [103, 127, 126, 137]}, {\"cell\": \"31.5\", \"bbox\": [156, 127, 171, 137]}, {\"cell\": \"1516\", \"bbox\": [201, 127, 218, 137]}, {\"cell\": \"29.4\", \"bbox\": [248, 127, 263, 137]}, {\"cell\": \"1\", \"bbox\": [293, 127, 299, 137]}, {\"cell\": \"–\", \"bbox\": [338, 131, 344, 135]}, {\"cell\": \"1\", \"bbox\": [404, 127, 410, 137]}, {\"cell\": \"–\", \"bbox\": [449, 131, 455, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 141, 26, 151]}, {\"cell\": \"22,363\", \"bbox\": [103, 141, 126, 151]}, {\"cell\": \"54.4\", \"bbox\": [156, 141, 171, 151]}, {\"cell\": \"2376\", \"bbox\": [201, 141, 218, 151]}, {\"cell\": \"46.1\", \"bbox\": [248, 141, 263, 151]}, {\"cell\": \"0.91\", \"bbox\": [293, 141, 308, 151]}, {\"cell\": \"(0.85–0.97)\", \"bbox\": [338, 141, 374, 151]}, {\"cell\": \"0.98\", \"bbox\": [404, 141, 419, 151]}, {\"cell\": \"(0.91–1.06)\", \"bbox\": [449, 141, 484, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 155, 30, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 169, 30, 179]}, {\"cell\": \"26,964\", \"bbox\": [103, 169, 126, 179]}, {\"cell\": \"65.6\", \"bbox\": [156, 169, 171, 179]}, {\"cell\": \"3006\", \"bbox\": [201, 169, 218, 179]}, {\"cell\": \"58.3\", \"bbox\": [248, 169, 263, 179]}, {\"cell\": \"1\", \"bbox\": [293, 169, 299, 179]}, {\"cell\": \"–\", \"bbox\": [338, 173, 344, 177]}, {\"cell\": \"1\", \"bbox\": [404, 169, 410, 179]}, {\"cell\": \"–\", \"bbox\": [449, 173, 455, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 183, 73, 193]}, {\"cell\": \"2524\", \"bbox\": [103, 183, 121, 193]}, {\"cell\": \"6.1\", \"bbox\": [156, 183, 167, 193]}, {\"cell\": \"322\", \"bbox\": [201, 183, 214, 193]}, {\"cell\": \"6.3\", \"bbox\": [248, 183, 259, 193]}, {\"cell\": \"1.14\", \"bbox\": [293, 183, 308, 193]}, {\"cell\": \"(1.01–1.29)\", \"bbox\": [338, 183, 374, 193]}, {\"cell\": \"1.06\", \"bbox\": [404, 183, 419, 193]}, {\"cell\": \"(0.93–1.20)\", \"bbox\": [449, 183, 484, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 197, 52, 207]}, {\"cell\": \"11,602\", \"bbox\": [103, 197, 126, 207]}, {\"cell\": \"28.2\", \"bbox\": [156, 197, 171, 207]}, {\"cell\": \"1828\", \"bbox\": [201, 197, 218, 207]}, {\"cell\": \"35.4\", \"bbox\": [248, 197, 263, 207]}, {\"cell\": \"1.41\", \"bbox\": [293, 197, 308, 207]}, {\"cell\": \"(1.33–1.50)\", \"bbox\": [338, 197, 374, 207]}, {\"cell\": \"1.37\", \"bbox\": [404, 197, 419, 207]}, {\"cell\": \"(1.28–1.46)\", \"bbox\": [449, 197, 484, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 211, 135, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 225, 22, 235]}, {\"cell\": \"8559\", \"bbox\": [103, 225, 121, 235]}, {\"cell\": \"21.0\", \"bbox\": [156, 225, 171, 235]}, {\"cell\": \"529\", \"bbox\": [201, 225, 214, 235]}, {\"cell\": \"10.4\", \"bbox\": [248, 225, 263, 235]}, {\"cell\": \"1\", \"bbox\": [293, 225, 299, 235]}, {\"cell\": \"–\", \"bbox\": [338, 229, 344, 233]}, {\"cell\": \"1\", \"bbox\": [404, 225, 410, 235]}, {\"cell\": \"–\", \"bbox\": [449, 229, 455, 233]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 239, 22, 249]}, {\"cell\": \"16,191\", \"bbox\": [103, 239, 126, 249]}, {\"cell\": \"39.7\", \"bbox\": [156, 239, 171, 249]}, {\"cell\": \"1783\", \"bbox\": [201, 239, 218, 249]}, {\"cell\": \"34.9\", \"bbox\": [248, 239, 263, 249]}, {\"cell\": \"1.78\", \"bbox\": [293, 239, 308, 249]}, {\"cell\": \"(1.61–1.97)\", \"bbox\": [338, 239, 374, 249]}, {\"cell\": \"1.75\", \"bbox\": [404, 239, 419, 249]}, {\"cell\": \"(1.58–1.94)\", \"bbox\": [449, 239, 484, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 253, 19, 263]}, {\"cell\": \"16,023\", \"bbox\": [103, 253, 126, 263]}, {\"cell\": \"39.3\", \"bbox\": [156, 253, 171, 263]}, {\"cell\": \"2801\", \"bbox\": [201, 253, 218, 263]}, {\"cell\": \"54.8\", \"bbox\": [248, 253, 263, 263]}, {\"cell\": \"2.83\", \"bbox\": [293, 253, 308, 263]}, {\"cell\": \"(2.57–3.12)\", \"bbox\": [338, 253, 374, 263]}, {\"cell\": \"2.80\", \"bbox\": [404, 253, 419, 263]}, {\"cell\": \"(2.54–3.09)\", \"bbox\": [449, 253, 484, 263]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 267, 113, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 281, 20, 291]}, {\"cell\": \"29,257\", \"bbox\": [103, 281, 126, 291]}, {\"cell\": \"73.8\", \"bbox\": [156, 281, 171, 291]}, {\"cell\": \"3720\", \"bbox\": [201, 281, 218, 291]}, {\"cell\": \"74.5\", \"bbox\": [248, 281, 263, 291]}, {\"cell\": \"1\", \"bbox\": [293, 281, 299, 291]}, {\"cell\": \"–\", \"bbox\": [338, 285, 344, 289]}, {\"cell\": \"–\", \"bbox\": [404, 285, 410, 289]}, {\"cell\": \"–\", \"bbox\": [449, 285, 455, 289]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 295, 21, 305]}, {\"cell\": \"10,376\", \"bbox\": [103, 295, 126, 305]}, {\"cell\": \"26.2\", \"bbox\": [156, 295, 171, 305]}, {\"cell\": \"1273\", \"bbox\": [201, 295, 218, 305]}, {\"cell\": \"25.5\", \"bbox\": [248, 295, 263, 305]}, {\"cell\": \"0.96\", \"bbox\": [293, 295, 308, 305]}, {\"cell\": \"(0.90–1.03)\", \"bbox\": [338, 295, 374, 305]}, {\"cell\": \"–\", \"bbox\": [404, 299, 410, 303]}, {\"cell\": \"–\", \"bbox\": [449, 299, 455, 303]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 309, 95, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 323, 20, 333]}, {\"cell\": \"30,763\", \"bbox\": [103, 323, 126, 333]}, {\"cell\": \"75.2\", \"bbox\": [156, 323, 171, 333]}, {\"cell\": \"3917\", \"bbox\": [201, 323, 218, 333]}, {\"cell\": \"76.2\", \"bbox\": [248, 323, 263, 333]}, {\"cell\": \"1\", \"bbox\": [293, 323, 299, 333]}, {\"cell\": \"–\", \"bbox\": [338, 327, 344, 331]}, {\"cell\": \"–\", \"bbox\": [404, 327, 410, 331]}, {\"cell\": \"–\", \"bbox\": [449, 327, 455, 331]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 337, 21, 347]}, {\"cell\": \"10,155\", \"bbox\": [103, 337, 126, 347]}, {\"cell\": \"24.8\", \"bbox\": [156, 337, 171, 347]}, {\"cell\": \"1223\", \"bbox\": [201, 337, 218, 347]}, {\"cell\": \"23.8\", \"bbox\": [248, 337, 263, 347]}, {\"cell\": \"0.95\", \"bbox\": [293, 337, 308, 347]}, {\"cell\": \"(0.88–1.01)\", \"bbox\": [338, 337, 374, 347]}, {\"cell\": \"–\", \"bbox\": [404, 341, 410, 345]}, {\"cell\": \"–\", \"bbox\": [449, 341, 455, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 351, 79, 361]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 365, 20, 375]}, {\"cell\": \"26,968\", \"bbox\": [103, 365, 126, 375]}, {\"cell\": \"65.9\", \"bbox\": [156, 365, 171, 375]}, {\"cell\": \"3135\", \"bbox\": [201, 365, 218, 375]}, {\"cell\": \"61.1\", \"bbox\": [248, 365, 263, 375]}, {\"cell\": \"1\", \"bbox\": [293, 365, 299, 375]}, {\"cell\": \"–\", \"bbox\": [338, 369, 344, 373]}, {\"cell\": \"1\", \"bbox\": [404, 365, 410, 375]}, {\"cell\": \"–\", \"bbox\": [449, 369, 455, 373]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 379, 21, 389]}, {\"cell\": \"13,939\", \"bbox\": [103, 379, 126, 389]}, {\"cell\": \"34.1\", \"bbox\": [156, 379, 171, 389]}, {\"cell\": \"1995\", \"bbox\": [201, 379, 218, 389]}, {\"cell\": \"38.9\", \"bbox\": [248, 379, 263, 389]}, {\"cell\": \"1.23\", \"bbox\": [293, 379, 308, 389]}, {\"cell\": \"(1.16–1.31)\", \"bbox\": [338, 379, 374, 389]}, {\"cell\": \"1.10\", \"bbox\": [404, 379, 419, 389]}, {\"cell\": \"(1.03–1.17)\", \"bbox\": [449, 379, 484, 389]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 392, 90, 403]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 407, 20, 417]}, {\"cell\": \"34,088\", \"bbox\": [103, 407, 126, 417]}, {\"cell\": \"82.9\", \"bbox\": [156, 407, 171, 417]}, {\"cell\": \"4103\", \"bbox\": [201, 407, 218, 417]}, {\"cell\": \"79.6\", \"bbox\": [248, 407, 263, 417]}, {\"cell\": \"1\", \"bbox\": [293, 407, 299, 417]}, {\"cell\": \"–\", \"bbox\": [338, 411, 344, 415]}, {\"cell\": \"1\", \"bbox\": [404, 407, 410, 417]}, {\"cell\": \"–\", \"bbox\": [449, 411, 455, 415]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 421, 21, 431]}, {\"cell\": \"2610\", \"bbox\": [103, 421, 121, 431]}, {\"cell\": \"6.4\", \"bbox\": [156, 421, 167, 431]}, {\"cell\": \"721\", \"bbox\": [201, 421, 214, 431]}, {\"cell\": \"14.0\", \"bbox\": [248, 421, 263, 431]}, {\"cell\": \"2.30\", \"bbox\": [293, 421, 308, 431]}, {\"cell\": \"(2.10–2.51)\", \"bbox\": [338, 421, 374, 431]}, {\"cell\": \"2.08\", \"bbox\": [404, 421, 419, 431]}, {\"cell\": \"(1.90–2.28)\", \"bbox\": [449, 421, 484, 431]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 435, 66, 445]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 449, 20, 459]}, {\"cell\": \"35,373\", \"bbox\": [103, 449, 126, 459]}, {\"cell\": \"86.0\", \"bbox\": [156, 449, 171, 459]}, {\"cell\": \"3910\", \"bbox\": [201, 449, 218, 459]}, {\"cell\": \"75.8\", \"bbox\": [248, 449, 263, 459]}, {\"cell\": \"1\", \"bbox\": [293, 449, 299, 459]}, {\"cell\": \"–\", \"bbox\": [338, 453, 344, 457]}, {\"cell\": \"1\", \"bbox\": [404, 449, 410, 459]}, {\"cell\": \"–\", \"bbox\": [449, 453, 455, 457]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 463, 21, 473]}, {\"cell\": \"5756\", \"bbox\": [103, 463, 121, 473]}, {\"cell\": \"14.0\", \"bbox\": [156, 463, 171, 473]}, {\"cell\": \"1247\", \"bbox\": [201, 463, 218, 473]}, {\"cell\": \"24.2\", \"bbox\": [248, 463, 263, 473]}, {\"cell\": \"1.96\", \"bbox\": [293, 463, 308, 473]}, {\"cell\": \"(1.83–2.10)\", \"bbox\": [338, 463, 374, 473]}, {\"cell\": \"1.85\", \"bbox\": [404, 463, 419, 473]}, {\"cell\": \"(1.72–1.99)\", \"bbox\": [449, 463, 484, 473]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5738891_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}931{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td colspan=\\\"5\\\"><b>Total Cancers (<i>n</i> = 443)</b></td><td colspan=\\\"5\\\"><b>GI Cancer (<i>n</i> = 148)</b></td><td colspan=\\\"5\\\"><b>Non-GI Cancer (<i>n</i> = 295)</b></td></tr><tr><td rowspan=\\\"2\\\"><b>No. of Cases/Person-Years</b></td><td colspan=\\\"2\\\"><b>Model 1 <sup>1</sup></b></td><td colspan=\\\"2\\\"><b>Model 2 <sup>2</sup></b></td><td rowspan=\\\"2\\\"><b>No. of Cases/Person-Years</b></td><td colspan=\\\"2\\\"><b>Model 1 <sup>1</sup></b></td><td colspan=\\\"2\\\"><b>Model 2 <sup>2</sup></b></td><td rowspan=\\\"2\\\"><b>No. of Cases/Person-Years</b></td><td colspan=\\\"2\\\"><b>Model 1 <sup>1</sup></b></td><td colspan=\\\"2\\\"><b>Model 2 <sup>2</sup></b></td></tr><tr><td><b>HR</b></td><td><b>95% CI</b></td><td><b>HR</b></td><td><b>95% CI</b></td><td><b>HR</b></td><td><b>95% CI</b></td><td><b>HR</b></td><td><b>95% CI</b></td><td><b>HR</b></td><td><b>95% CI</b></td><td><b>HR</b></td><td><b>95% CI</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>82/15,333</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td><td>36/12,672</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td><td>46/13,546</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>175/28,932</td><td>1.31</td><td>(1.01, 1.71)</td><td>1.21</td><td>(0.91, 1.61)</td><td>65/26,213</td><td>1.14</td><td>(0.76, 1.76)</td><td>1.00</td><td>(0.64, 1.55)</td><td>110/25,595</td><td>1.45</td><td>(1.03, 2.06)</td><td>1.40</td><td>(0.96, 2.03)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.045</td><td>[EMPTY_CELL]</td><td>0.180</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.495</td><td>[EMPTY_CELL]</td><td>0.993</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.034</td><td>[EMPTY_CELL]</td><td>0.077</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>77/14,320</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td><td>23/11,394</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td><td>54/12,692</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>109/22,342</td><td>1.00</td><td>(0.74, 1.34)</td><td>0.84</td><td>(0.59, 1.22)</td><td>24/20,883</td><td>0.89</td><td>(0.50, 1.59)</td><td>0.79</td><td>(0.37, 1.71)</td><td>85/19,834</td><td>1.03</td><td>(0.73, 1.46)</td><td>0.85</td><td>(0.56, 1.29)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.977</td><td>[EMPTY_CELL]</td><td>0.367</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.702</td><td>[EMPTY_CELL]</td><td>0.557</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.857</td><td>[EMPTY_CELL]</td><td>0.440</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>70/10,885</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td><td>24/10,841</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td><td>46/9590</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>61/11,041</td><td>0.79</td><td>(0.56, 1.11)</td><td>0.81</td><td>(0.56, 1.18)</td><td>28/10,849</td><td>1.06</td><td>(0.61, 1.83)</td><td>1.22</td><td>(0.67, 2.21)</td><td>33/9785</td><td>0.65</td><td>(0.42, 1.02)</td><td>0.63</td><td>(0.39, 1.02)</td></tr><tr><td>[EMPTY_CELL]</td><td>65/11,088</td><td>0.78</td><td>(0.56, 1.10)</td><td>0.73</td><td>(0.50, 1.06)</td><td>27/10,955</td><td>0.93</td><td>(0.54, 1.62)</td><td>0.89</td><td>(0.47, 1.66)</td><td>38/9838</td><td>0.70</td><td>(0.46, 1.08)</td><td>0.65</td><td>(0.41, 1.03) </td></tr><tr><td>[EMPTY_CELL]</td><td>61/11,251</td><td>0.70</td><td>(0.49, 0.99)</td><td>0.69</td><td>(0.47, 1.00)</td><td>22/11,111</td><td>0.72</td><td>(0.40, 1.28)</td><td>0.76</td><td>(0.40, 1.46)</td><td>39/9929</td><td>0.69</td><td>(0.45, 1.06)</td><td>0.66</td><td>(0.41, 1.06)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.073</td><td>[EMPTY_CELL]</td><td>0.075</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.174</td><td>[EMPTY_CELL]</td><td>0.208</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.229</td><td>[EMPTY_CELL]</td><td>0.199</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>43/9099</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td><td>13/8962</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td><td>31/8066</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>45/9090</td><td>1.00</td><td>(0.66, 1.53)</td><td>0.96</td><td>(0.58, 1.59)</td><td>12/9025</td><td>0.79</td><td>(0.36, 1.74)</td><td>0.69</td><td>(0.25, 1.89)</td><td>32/8071</td><td>1.02</td><td>(0.62, 1.68)</td><td>1.08</td><td>(0.60, 1.94)</td></tr><tr><td>[EMPTY_CELL]</td><td>53/9187</td><td>1.16</td><td>(0.77, 1.74)</td><td>0.94</td><td>(0.57, 1.55)</td><td>12/9160</td><td>0.76</td><td>(0.34, 1.67)</td><td>0.60</td><td>(0.21, 1.71)</td><td>41/8159</td><td>1.30</td><td>(0.81, 2.07)</td><td>1.09</td><td>(0.61, 1.96)</td></tr><tr><td>[EMPTY_CELL]</td><td>45/9287</td><td>0.96</td><td>(0.63, 1.46)</td><td>0.91</td><td>(0.55, 1.53)</td><td>10/9169 </td><td>0.60</td><td>(0.26, 1.38)</td><td>0.41</td><td>(0.14, 1.26)</td><td>35/8223</td><td>1.10</td><td>(0.67, 1.78)</td><td>1.17</td><td>(0.65, 2.11)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.884</td><td>[EMPTY_CELL]</td><td>0.727</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.254</td><td>[EMPTY_CELL]</td><td>0.128</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.631</td><td>[EMPTY_CELL]</td><td>0.619</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total Cancers (<i>n</i> = 443)</b>\", \"bbox\": [128, 2, 202, 11]}, {\"cell\": \"<b>GI Cancer (<i>n</i> = 148)</b>\", \"bbox\": [340, 2, 404, 11]}, {\"cell\": \"<b>Non-GI Cancer (<i>n</i> = 295)</b>\", \"bbox\": [539, 2, 619, 11]}, {\"cell\": \"<b>No. of Cases/Person-Years</b>\", \"bbox\": [70, 17, 115, 33]}, {\"cell\": \"<b>Model 1 <sup>1</sup></b>\", \"bbox\": [140, 14, 173, 23]}, {\"cell\": \"<b>Model 2 <sup>2</sup></b>\", \"bbox\": [213, 14, 245, 23]}, {\"cell\": \"<b>No. of Cases/Person-Years</b>\", \"bbox\": [272, 17, 316, 33]}, {\"cell\": \"<b>Model 1 <sup>1</sup></b>\", \"bbox\": [342, 14, 374, 23]}, {\"cell\": \"<b>Model 2 <sup>2</sup></b>\", \"bbox\": [420, 14, 453, 23]}, {\"cell\": \"<b>No. of Cases/Person-Years</b>\", \"bbox\": [485, 17, 529, 33]}, {\"cell\": \"<b>Model 1 <sup>1</sup></b>\", \"bbox\": [554, 14, 587, 23]}, {\"cell\": \"<b>Model 2 <sup>2</sup></b>\", \"bbox\": [627, 14, 660, 23]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [128, 27, 141, 35]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [158, 27, 183, 35]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [200, 27, 213, 35]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [231, 27, 256, 35]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [329, 27, 342, 35]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [360, 27, 384, 35]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [408, 27, 421, 35]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [444, 27, 468, 35]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [542, 27, 555, 35]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [573, 27, 597, 35]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [615, 27, 628, 35]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [645, 27, 670, 35]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 59, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 52, 24, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 65, 37, 74]}, {\"cell\": \"82/15,333\", \"bbox\": [77, 65, 107, 74]}, {\"cell\": \"1.00\", \"bbox\": [127, 65, 141, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [200, 65, 214, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"36/12,672\", \"bbox\": [279, 65, 309, 74]}, {\"cell\": \"1.00\", \"bbox\": [329, 65, 343, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [407, 65, 421, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"46/13,546\", \"bbox\": [491, 65, 522, 74]}, {\"cell\": \"1.00\", \"bbox\": [541, 65, 556, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [614, 65, 628, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 74, 37, 83]}, {\"cell\": \"175/28,932\", \"bbox\": [75, 74, 109, 83]}, {\"cell\": \"1.31\", \"bbox\": [127, 74, 141, 83]}, {\"cell\": \"(1.01, 1.71)\", \"bbox\": [153, 74, 188, 83]}, {\"cell\": \"1.21\", \"bbox\": [200, 74, 214, 83]}, {\"cell\": \"(0.91, 1.61)\", \"bbox\": [226, 74, 261, 83]}, {\"cell\": \"65/26,213\", \"bbox\": [279, 74, 309, 83]}, {\"cell\": \"1.14\", \"bbox\": [329, 74, 343, 83]}, {\"cell\": \"(0.76, 1.76)\", \"bbox\": [355, 74, 389, 83]}, {\"cell\": \"1.00\", \"bbox\": [407, 74, 421, 83]}, {\"cell\": \"(0.64, 1.55)\", \"bbox\": [439, 74, 473, 83]}, {\"cell\": \"110/25,595\", \"bbox\": [490, 74, 523, 83]}, {\"cell\": \"1.45\", \"bbox\": [541, 74, 556, 83]}, {\"cell\": \"(1.03, 2.06)\", \"bbox\": [568, 74, 602, 83]}, {\"cell\": \"1.40\", \"bbox\": [614, 74, 628, 83]}, {\"cell\": \"(0.96, 2.03)\", \"bbox\": [640, 74, 675, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 82, 48, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.045\", \"bbox\": [125, 82, 143, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.180\", \"bbox\": [198, 82, 216, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.495\", \"bbox\": [327, 82, 345, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.993\", \"bbox\": [405, 82, 423, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.034\", \"bbox\": [540, 82, 557, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.077\", \"bbox\": [612, 82, 630, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 95, 33, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 107, 37, 116]}, {\"cell\": \"77/14,320\", \"bbox\": [77, 107, 107, 116]}, {\"cell\": \"1.00\", \"bbox\": [127, 107, 141, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [200, 107, 214, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"23/11,394\", \"bbox\": [279, 107, 309, 116]}, {\"cell\": \"1.00\", \"bbox\": [329, 107, 343, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [407, 107, 421, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"54/12,692\", \"bbox\": [491, 107, 522, 116]}, {\"cell\": \"1.00\", \"bbox\": [541, 107, 556, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [614, 107, 628, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [24, 116, 37, 125]}, {\"cell\": \"109/22,342\", \"bbox\": [75, 116, 109, 125]}, {\"cell\": \"1.00\", \"bbox\": [127, 116, 141, 125]}, {\"cell\": \"(0.74, 1.34)\", \"bbox\": [153, 116, 188, 125]}, {\"cell\": \"0.84\", \"bbox\": [200, 116, 214, 125]}, {\"cell\": \"(0.59, 1.22)\", \"bbox\": [226, 116, 261, 125]}, {\"cell\": \"24/20,883\", \"bbox\": [279, 116, 309, 125]}, {\"cell\": \"0.89\", \"bbox\": [329, 116, 343, 125]}, {\"cell\": \"(0.50, 1.59)\", \"bbox\": [355, 116, 389, 125]}, {\"cell\": \"0.79\", \"bbox\": [407, 116, 421, 125]}, {\"cell\": \"(0.37, 1.71)\", \"bbox\": [439, 116, 473, 125]}, {\"cell\": \"85/19,834\", \"bbox\": [491, 116, 522, 125]}, {\"cell\": \"1.03\", \"bbox\": [541, 116, 556, 125]}, {\"cell\": \"(0.73, 1.46)\", \"bbox\": [568, 116, 602, 125]}, {\"cell\": \"0.85\", \"bbox\": [614, 116, 628, 125]}, {\"cell\": \"(0.56, 1.29)\", \"bbox\": [640, 116, 675, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 125, 48, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.977\", \"bbox\": [125, 125, 143, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.367\", \"bbox\": [198, 125, 216, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.702\", \"bbox\": [327, 125, 345, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.557\", \"bbox\": [405, 125, 423, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.857\", \"bbox\": [540, 125, 557, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.440\", \"bbox\": [612, 125, 630, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 137, 81, 146]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 150, 24, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 158, 36, 168]}, {\"cell\": \"70/10,885\", \"bbox\": [77, 158, 107, 168]}, {\"cell\": \"1.00\", \"bbox\": [127, 158, 141, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [200, 158, 214, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"24/10,841\", \"bbox\": [279, 158, 309, 168]}, {\"cell\": \"1.00\", \"bbox\": [329, 158, 343, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [407, 158, 421, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"46/9590\", \"bbox\": [494, 158, 519, 168]}, {\"cell\": \"1.00\", \"bbox\": [541, 158, 556, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [614, 158, 628, 168]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 167, 36, 176]}, {\"cell\": \"61/11,041\", \"bbox\": [77, 167, 107, 176]}, {\"cell\": \"0.79\", \"bbox\": [127, 167, 141, 176]}, {\"cell\": \"(0.56, 1.11)\", \"bbox\": [153, 167, 188, 176]}, {\"cell\": \"0.81\", \"bbox\": [200, 167, 214, 176]}, {\"cell\": \"(0.56, 1.18)\", \"bbox\": [226, 167, 261, 176]}, {\"cell\": \"28/10,849\", \"bbox\": [279, 167, 309, 176]}, {\"cell\": \"1.06\", \"bbox\": [329, 167, 343, 176]}, {\"cell\": \"(0.61, 1.83)\", \"bbox\": [355, 167, 389, 176]}, {\"cell\": \"1.22\", \"bbox\": [407, 167, 421, 176]}, {\"cell\": \"(0.67, 2.21)\", \"bbox\": [439, 167, 473, 176]}, {\"cell\": \"33/9785\", \"bbox\": [494, 167, 519, 176]}, {\"cell\": \"0.65\", \"bbox\": [541, 167, 556, 176]}, {\"cell\": \"(0.42, 1.02)\", \"bbox\": [568, 167, 602, 176]}, {\"cell\": \"0.63\", \"bbox\": [614, 167, 628, 176]}, {\"cell\": \"(0.39, 1.02)\", \"bbox\": [640, 167, 675, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 176, 36, 185]}, {\"cell\": \"65/11,088\", \"bbox\": [77, 176, 107, 185]}, {\"cell\": \"0.78\", \"bbox\": [127, 176, 141, 185]}, {\"cell\": \"(0.56, 1.10)\", \"bbox\": [153, 176, 188, 185]}, {\"cell\": \"0.73\", \"bbox\": [200, 176, 214, 185]}, {\"cell\": \"(0.50, 1.06)\", \"bbox\": [226, 176, 261, 185]}, {\"cell\": \"27/10,955\", \"bbox\": [279, 176, 309, 185]}, {\"cell\": \"0.93\", \"bbox\": [329, 176, 343, 185]}, {\"cell\": \"(0.54, 1.62)\", \"bbox\": [355, 176, 389, 185]}, {\"cell\": \"0.89\", \"bbox\": [407, 176, 421, 185]}, {\"cell\": \"(0.47, 1.66)\", \"bbox\": [439, 176, 473, 185]}, {\"cell\": \"38/9838\", \"bbox\": [494, 176, 519, 185]}, {\"cell\": \"0.70\", \"bbox\": [541, 176, 556, 185]}, {\"cell\": \"(0.46, 1.08)\", \"bbox\": [568, 176, 602, 185]}, {\"cell\": \"0.65\", \"bbox\": [614, 176, 628, 185]}, {\"cell\": \"(0.41, 1.03) \", \"bbox\": [640, 176, 675, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 185, 36, 194]}, {\"cell\": \"61/11,251\", \"bbox\": [77, 185, 107, 194]}, {\"cell\": \"0.70\", \"bbox\": [127, 185, 141, 194]}, {\"cell\": \"(0.49, 0.99)\", \"bbox\": [153, 185, 188, 194]}, {\"cell\": \"0.69\", \"bbox\": [200, 185, 214, 194]}, {\"cell\": \"(0.47, 1.00)\", \"bbox\": [226, 185, 261, 194]}, {\"cell\": \"22/11,111\", \"bbox\": [279, 185, 309, 194]}, {\"cell\": \"0.72\", \"bbox\": [329, 185, 343, 194]}, {\"cell\": \"(0.40, 1.28)\", \"bbox\": [355, 185, 389, 194]}, {\"cell\": \"0.76\", \"bbox\": [407, 185, 421, 194]}, {\"cell\": \"(0.40, 1.46)\", \"bbox\": [439, 185, 473, 194]}, {\"cell\": \"39/9929\", \"bbox\": [494, 185, 519, 194]}, {\"cell\": \"0.69\", \"bbox\": [541, 185, 556, 194]}, {\"cell\": \"(0.45, 1.06)\", \"bbox\": [568, 185, 602, 194]}, {\"cell\": \"0.66\", \"bbox\": [614, 185, 628, 194]}, {\"cell\": \"(0.41, 1.06)\", \"bbox\": [640, 185, 675, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 193, 48, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.073\", \"bbox\": [125, 193, 143, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.075\", \"bbox\": [198, 193, 216, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.174\", \"bbox\": [327, 193, 345, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.208\", \"bbox\": [405, 193, 423, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.229\", \"bbox\": [540, 193, 557, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.199\", \"bbox\": [612, 193, 630, 202]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [7, 206, 33, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 218, 36, 227]}, {\"cell\": \"43/9099\", \"bbox\": [80, 218, 105, 227]}, {\"cell\": \"1.00\", \"bbox\": [127, 218, 141, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [200, 218, 214, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"13/8962\", \"bbox\": [281, 218, 306, 227]}, {\"cell\": \"1.00\", \"bbox\": [329, 218, 343, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [407, 218, 421, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"31/8066\", \"bbox\": [494, 218, 519, 227]}, {\"cell\": \"1.00\", \"bbox\": [541, 218, 556, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.00\", \"bbox\": [614, 218, 628, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 227, 36, 236]}, {\"cell\": \"45/9090\", \"bbox\": [80, 227, 105, 236]}, {\"cell\": \"1.00\", \"bbox\": [127, 227, 141, 236]}, {\"cell\": \"(0.66, 1.53)\", \"bbox\": [153, 227, 188, 236]}, {\"cell\": \"0.96\", \"bbox\": [200, 227, 214, 236]}, {\"cell\": \"(0.58, 1.59)\", \"bbox\": [226, 227, 261, 236]}, {\"cell\": \"12/9025\", \"bbox\": [281, 227, 306, 236]}, {\"cell\": \"0.79\", \"bbox\": [329, 227, 343, 236]}, {\"cell\": \"(0.36, 1.74)\", \"bbox\": [355, 227, 389, 236]}, {\"cell\": \"0.69\", \"bbox\": [407, 227, 421, 236]}, {\"cell\": \"(0.25, 1.89)\", \"bbox\": [439, 227, 473, 236]}, {\"cell\": \"32/8071\", \"bbox\": [494, 227, 519, 236]}, {\"cell\": \"1.02\", \"bbox\": [541, 227, 556, 236]}, {\"cell\": \"(0.62, 1.68)\", \"bbox\": [568, 227, 602, 236]}, {\"cell\": \"1.08\", \"bbox\": [614, 227, 628, 236]}, {\"cell\": \"(0.60, 1.94)\", \"bbox\": [640, 227, 675, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 236, 36, 245]}, {\"cell\": \"53/9187\", \"bbox\": [80, 236, 105, 245]}, {\"cell\": \"1.16\", \"bbox\": [127, 236, 141, 245]}, {\"cell\": \"(0.77, 1.74)\", \"bbox\": [153, 236, 188, 245]}, {\"cell\": \"0.94\", \"bbox\": [200, 236, 214, 245]}, {\"cell\": \"(0.57, 1.55)\", \"bbox\": [226, 236, 261, 245]}, {\"cell\": \"12/9160\", \"bbox\": [281, 236, 306, 245]}, {\"cell\": \"0.76\", \"bbox\": [329, 236, 343, 245]}, {\"cell\": \"(0.34, 1.67)\", \"bbox\": [355, 236, 389, 245]}, {\"cell\": \"0.60\", \"bbox\": [407, 236, 421, 245]}, {\"cell\": \"(0.21, 1.71)\", \"bbox\": [439, 236, 473, 245]}, {\"cell\": \"41/8159\", \"bbox\": [494, 236, 519, 245]}, {\"cell\": \"1.30\", \"bbox\": [541, 236, 556, 245]}, {\"cell\": \"(0.81, 2.07)\", \"bbox\": [568, 236, 602, 245]}, {\"cell\": \"1.09\", \"bbox\": [614, 236, 628, 245]}, {\"cell\": \"(0.61, 1.96)\", \"bbox\": [640, 236, 675, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [25, 245, 36, 254]}, {\"cell\": \"45/9287\", \"bbox\": [80, 245, 105, 254]}, {\"cell\": \"0.96\", \"bbox\": [127, 245, 141, 254]}, {\"cell\": \"(0.63, 1.46)\", \"bbox\": [153, 245, 188, 254]}, {\"cell\": \"0.91\", \"bbox\": [200, 245, 214, 254]}, {\"cell\": \"(0.55, 1.53)\", \"bbox\": [226, 245, 261, 254]}, {\"cell\": \"10/9169 \", \"bbox\": [281, 245, 306, 254]}, {\"cell\": \"0.60\", \"bbox\": [329, 245, 343, 254]}, {\"cell\": \"(0.26, 1.38)\", \"bbox\": [355, 245, 389, 254]}, {\"cell\": \"0.41\", \"bbox\": [407, 245, 421, 254]}, {\"cell\": \"(0.14, 1.26)\", \"bbox\": [439, 245, 473, 254]}, {\"cell\": \"35/8223\", \"bbox\": [494, 245, 519, 254]}, {\"cell\": \"1.10\", \"bbox\": [541, 245, 556, 254]}, {\"cell\": \"(0.67, 1.78)\", \"bbox\": [568, 245, 602, 254]}, {\"cell\": \"1.17\", \"bbox\": [614, 245, 628, 254]}, {\"cell\": \"(0.65, 2.11)\", \"bbox\": [640, 245, 675, 254]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [13, 253, 48, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.884\", \"bbox\": [125, 253, 143, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.727\", \"bbox\": [198, 253, 216, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.254\", \"bbox\": [327, 253, 345, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.128\", \"bbox\": [405, 253, 423, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.631\", \"bbox\": [540, 253, 557, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.619\", \"bbox\": [612, 253, 630, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5622698_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}932{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>At 1 year (%)</b></td><td><b>At 3 years (%)</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Radiochemotherapy regimen</td></tr><tr><td> Cisplatin weekly (<i>N</i> = 75)</td><td>[EMPTY_CELL]</td><td>58</td><td>[EMPTY_CELL]</td></tr><tr><td> Cisplatin 100 mg/m<sup>2</sup> (<i>N</i> = 58)</td><td>[EMPTY_CELL]</td><td>78</td><td>0.010</td></tr><tr><td colspan=\\\"4\\\">Age</td></tr><tr><td> ≤56 years (<i>N</i> = 67)</td><td>[EMPTY_CELL]</td><td>65</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥57 years (<i>N</i> = 66)</td><td>[EMPTY_CELL]</td><td>68</td><td>0.72</td></tr><tr><td colspan=\\\"4\\\">Gender</td></tr><tr><td> Female (<i>N</i> = 29)</td><td>[EMPTY_CELL]</td><td>87</td><td>[EMPTY_CELL]</td></tr><tr><td> Male (<i>N</i> = 104)</td><td>[EMPTY_CELL]</td><td>61</td><td>0.010</td></tr><tr><td colspan=\\\"4\\\">ECOG Performance score</td></tr><tr><td> 0–1 (<i>N</i> = 115)</td><td>[EMPTY_CELL]</td><td>69</td><td>[EMPTY_CELL]</td></tr><tr><td> 2 (<i>N</i> = 18)</td><td>[EMPTY_CELL]</td><td>49</td><td>0.14</td></tr><tr><td colspan=\\\"4\\\">Primary tumor site</td></tr><tr><td> Oropharynx (<i>N</i> = 69)</td><td>[EMPTY_CELL]</td><td>74</td><td>[EMPTY_CELL]</td></tr><tr><td> Hypopharynx (<i>N</i> = 19)</td><td>[EMPTY_CELL]</td><td>47</td><td>[EMPTY_CELL]</td></tr><tr><td> Larynx (<i>N</i> = 30)</td><td>[EMPTY_CELL]</td><td>67</td><td>[EMPTY_CELL]</td></tr><tr><td> Oral cavity/Floor of mouth (<i>N</i> = 15)</td><td>[EMPTY_CELL]</td><td>56</td><td>0.047</td></tr><tr><td colspan=\\\"4\\\">T-category</td></tr><tr><td> T1–2 (<i>N</i> = 16)</td><td>[EMPTY_CELL]</td><td>76</td><td>[EMPTY_CELL]</td></tr><tr><td> T3–4 (<i>N</i> = 117)</td><td>[EMPTY_CELL]</td><td>65</td><td>0.28</td></tr><tr><td colspan=\\\"4\\\">N-category</td></tr><tr><td> N0-2a (<i>N</i> = 66)</td><td>[EMPTY_CELL]</td><td>68</td><td>[EMPTY_CELL]</td></tr><tr><td> N2b-3 (<i>N</i> = 67)</td><td>[EMPTY_CELL]</td><td>65</td><td>0.93</td></tr><tr><td colspan=\\\"4\\\">Histologic grading</td></tr><tr><td> G 1–2 (<i>N</i> = 85)</td><td>[EMPTY_CELL]</td><td>69</td><td>[EMPTY_CELL]</td></tr><tr><td> G3 (<i>N</i> = 48)</td><td>[EMPTY_CELL]</td><td>63</td><td>0.65</td></tr><tr><td colspan=\\\"4\\\">Cumulative cisplatin dose</td></tr><tr><td> ≤200 mg/m<sup>2</sup> (<i>N</i> = 85)</td><td>[EMPTY_CELL]</td><td>62</td><td>[EMPTY_CELL]</td></tr><tr><td> >200 mg/m<sup>2</sup> (<i>N</i> = 48)</td><td>[EMPTY_CELL]</td><td>74</td><td>0.09</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>At 1 year (%)</b>\", \"bbox\": [120, 4, 163, 13]}, {\"cell\": \"<b>At 3 years (%)</b>\", \"bbox\": [168, 4, 214, 13]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [218, 4, 223, 12]}, {\"cell\": \"Radiochemotherapy regimen\", \"bbox\": [1, 17, 96, 27]}, {\"cell\": \" Cisplatin weekly (<i>N</i> = 75)\", \"bbox\": [8, 31, 89, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 31, 130, 41]}, {\"cell\": \"58\", \"bbox\": [168, 31, 177, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Cisplatin 100 mg/m<sup>2</sup> (<i>N</i> = 58)\", \"bbox\": [8, 43, 103, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 45, 130, 55]}, {\"cell\": \"78\", \"bbox\": [168, 45, 177, 55]}, {\"cell\": \"0.010\", \"bbox\": [218, 45, 236, 55]}, {\"cell\": \"Age\", \"bbox\": [1, 59, 15, 69]}, {\"cell\": \" ≤56 years (<i>N</i> = 67)\", \"bbox\": [8, 73, 69, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 73, 130, 83]}, {\"cell\": \"65\", \"bbox\": [168, 73, 177, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" ≥57 years (<i>N</i> = 66)\", \"bbox\": [8, 87, 69, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 87, 130, 97]}, {\"cell\": \"68\", \"bbox\": [168, 87, 177, 97]}, {\"cell\": \"0.72\", \"bbox\": [218, 87, 233, 97]}, {\"cell\": \"Gender\", \"bbox\": [1, 101, 26, 111]}, {\"cell\": \" Female (<i>N</i> = 29)\", \"bbox\": [8, 115, 60, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 115, 130, 125]}, {\"cell\": \"87\", \"bbox\": [168, 115, 177, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Male (<i>N</i> = 104)\", \"bbox\": [8, 129, 56, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 129, 130, 139]}, {\"cell\": \"61\", \"bbox\": [168, 129, 177, 139]}, {\"cell\": \"0.010\", \"bbox\": [218, 129, 236, 139]}, {\"cell\": \"ECOG Performance score\", \"bbox\": [1, 143, 83, 153]}, {\"cell\": \" 0–1 (<i>N</i> = 115)\", \"bbox\": [8, 157, 53, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 157, 130, 167]}, {\"cell\": \"69\", \"bbox\": [168, 157, 177, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 2 (<i>N</i> = 18)\", \"bbox\": [8, 171, 41, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 171, 130, 181]}, {\"cell\": \"49\", \"bbox\": [168, 171, 177, 181]}, {\"cell\": \"0.14\", \"bbox\": [218, 171, 233, 181]}, {\"cell\": \"Primary tumor site\", \"bbox\": [1, 185, 62, 195]}, {\"cell\": \" Oropharynx (<i>N</i> = 69)\", \"bbox\": [8, 199, 75, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 199, 130, 209]}, {\"cell\": \"74\", \"bbox\": [168, 199, 177, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Hypopharynx (<i>N</i> = 19)\", \"bbox\": [8, 213, 80, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 213, 130, 223]}, {\"cell\": \"47\", \"bbox\": [168, 213, 177, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Larynx (<i>N</i> = 30)\", \"bbox\": [8, 227, 58, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 227, 130, 237]}, {\"cell\": \"67\", \"bbox\": [168, 227, 177, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Oral cavity/Floor of mouth (<i>N</i> = 15)\", \"bbox\": [8, 241, 116, 251]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 241, 130, 251]}, {\"cell\": \"56\", \"bbox\": [168, 241, 177, 251]}, {\"cell\": \"0.047\", \"bbox\": [218, 241, 236, 251]}, {\"cell\": \"T-category\", \"bbox\": [1, 255, 36, 265]}, {\"cell\": \" T1–2 (<i>N</i> = 16)\", \"bbox\": [8, 269, 53, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 269, 130, 279]}, {\"cell\": \"76\", \"bbox\": [168, 269, 177, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" T3–4 (<i>N</i> = 117)\", \"bbox\": [8, 283, 56, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 283, 130, 293]}, {\"cell\": \"65\", \"bbox\": [168, 283, 177, 293]}, {\"cell\": \"0.28\", \"bbox\": [218, 283, 233, 293]}, {\"cell\": \"N-category\", \"bbox\": [1, 297, 38, 307]}, {\"cell\": \" N0-2a (<i>N</i> = 66)\", \"bbox\": [8, 311, 56, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 311, 130, 321]}, {\"cell\": \"68\", \"bbox\": [168, 311, 177, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" N2b-3 (<i>N</i> = 67)\", \"bbox\": [8, 325, 57, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 325, 130, 335]}, {\"cell\": \"65\", \"bbox\": [168, 325, 177, 335]}, {\"cell\": \"0.93\", \"bbox\": [218, 325, 233, 335]}, {\"cell\": \"Histologic grading\", \"bbox\": [1, 339, 61, 349]}, {\"cell\": \" G 1–2 (<i>N</i> = 85)\", \"bbox\": [8, 353, 56, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 353, 130, 363]}, {\"cell\": \"69\", \"bbox\": [168, 353, 177, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" G3 (<i>N</i> = 48)\", \"bbox\": [8, 367, 46, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 367, 130, 377]}, {\"cell\": \"63\", \"bbox\": [168, 367, 177, 377]}, {\"cell\": \"0.65\", \"bbox\": [218, 367, 233, 377]}, {\"cell\": \"Cumulative cisplatin dose\", \"bbox\": [1, 381, 84, 391]}, {\"cell\": \" ≤200 mg/m<sup>2</sup> (<i>N</i> = 85)\", \"bbox\": [8, 393, 79, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 395, 130, 405]}, {\"cell\": \"62\", \"bbox\": [168, 395, 177, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" >200 mg/m<sup>2</sup> (<i>N</i> = 48)\", \"bbox\": [8, 407, 79, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [120, 409, 130, 419]}, {\"cell\": \"74\", \"bbox\": [168, 409, 177, 419]}, {\"cell\": \"0.09\", \"bbox\": [218, 409, 233, 419]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4938984_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}933{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Change in clearance hemofiltration vs hemodialysis<sup>a</sup></b></td></tr><tr><td><b>Molecular substance</b></td><td><b>Number of trials; number of patients randomized</b></td><td><b>Effect estimate</b></td><td><b>95% confidence interval</b></td><td><b><i>P</i>-value</b></td><td><b>Heterogeneity (<i>I<sup>2</sup></i>)</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\"><b>Smaller molecules</b></td></tr><tr><td>Urea (60 Da)</td><td>4 [33,36-38]; 49</td><td>[EMPTY_CELL]</td><td>-2% to +3%</td><td>0.60</td><td>0%</td></tr><tr><td>Phosphate (95 Da)</td><td>1 [37]; 18</td><td>[EMPTY_CELL]</td><td>-4% to +4%</td><td>1.00</td><td>n/a</td></tr><tr><td>Creatinine (113 Da)</td><td>3 [33,37,38]; 43</td><td>[EMPTY_CELL]</td><td>-0.4% to +4.1%</td><td>0.12</td><td>0%</td></tr><tr><td>Uric acid (168 Da)</td><td>2 [33,37]; 28</td><td>[EMPTY_CELL]</td><td>+1% to +7%</td><td>0.01</td><td>0%</td></tr><tr><td colspan=\\\"6\\\"><b>Larger molecules</b></td></tr><tr><td>Vancomycin (1.8 kDa)</td><td>1 [33]; 10</td><td>[EMPTY_CELL]</td><td>+8% to +28%</td><td>0.0003</td><td>n/a</td></tr><tr><td>β<sub>2</sub>-microglobulin (11.8 kDa)</td><td>2 [37,38]; 33</td><td>[EMPTY_CELL]</td><td>+78% to +112%</td><td><0.0001</td><td>0%</td></tr><tr><td>IL-1 Receptor Agonist (16-18 kDa)</td><td>1 [24]; 12</td><td>[EMPTY_CELL]</td><td>+24% to +153%</td><td>0.002</td><td>n/a</td></tr><tr><td>Retinol Binding Protein (21.2 kDa)</td><td>1 [37]; 18</td><td>[EMPTY_CELL]</td><td>+4% to +94%</td><td>0.03</td><td>n/a</td></tr><tr><td>IL-6 (26 kDa)</td><td>2 [24,34]; 22</td><td>[EMPTY_CELL]</td><td>-62% to +191%</td><td>0.91</td><td>89%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Change in clearance hemofiltration vs hemodialysis<sup>a</sup></b>\", \"bbox\": [282, 2, 466, 13]}, {\"cell\": \"<b>Molecular substance</b>\", \"bbox\": [1, 17, 74, 27]}, {\"cell\": \"<b>Number of trials; number of patients randomized</b>\", \"bbox\": [116, 17, 247, 36]}, {\"cell\": \"<b>Effect estimate</b>\", \"bbox\": [272, 17, 303, 36]}, {\"cell\": \"<b>95% confidence interval</b>\", \"bbox\": [325, 17, 382, 36]}, {\"cell\": \"<b><i>P</i>-value</b>\", \"bbox\": [399, 17, 420, 36]}, {\"cell\": \"<b>Heterogeneity (<i>I<sup>2</sup></i>)</b>\", \"bbox\": [430, 17, 481, 36]}, {\"cell\": \"<b>Smaller molecules</b>\", \"bbox\": [1, 39, 65, 49]}, {\"cell\": \"Urea (60 Da)\", \"bbox\": [1, 53, 43, 62]}, {\"cell\": \"4 [33,36-38]; 49\", \"bbox\": [156, 53, 207, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [278, 51, 297, 62]}, {\"cell\": \"-2% to +3%\", \"bbox\": [334, 53, 374, 62]}, {\"cell\": \"0.60\", \"bbox\": [402, 53, 417, 62]}, {\"cell\": \"0%\", \"bbox\": [450, 53, 462, 62]}, {\"cell\": \"Phosphate (95 Da)\", \"bbox\": [0, 66, 62, 75]}, {\"cell\": \"1 [37]; 18\", \"bbox\": [166, 66, 198, 75]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [280, 64, 294, 75]}, {\"cell\": \"-4% to +4%\", \"bbox\": [334, 66, 374, 75]}, {\"cell\": \"1.00\", \"bbox\": [402, 66, 417, 75]}, {\"cell\": \"n/a\", \"bbox\": [449, 66, 462, 75]}, {\"cell\": \"Creatinine (113 Da)\", \"bbox\": [0, 79, 64, 88]}, {\"cell\": \"3 [33,37,38]; 43\", \"bbox\": [157, 79, 207, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 77, 300, 88]}, {\"cell\": \"-0.4% to +4.1%\", \"bbox\": [328, 79, 379, 88]}, {\"cell\": \"0.12\", \"bbox\": [402, 79, 417, 88]}, {\"cell\": \"0%\", \"bbox\": [450, 79, 462, 88]}, {\"cell\": \"Uric acid (168 Da)\", \"bbox\": [1, 92, 60, 102]}, {\"cell\": \"2 [33,37]; 28\", \"bbox\": [161, 92, 202, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 92, 296, 102]}, {\"cell\": \"+1% to +7%\", \"bbox\": [332, 92, 375, 102]}, {\"cell\": \"0.01\", \"bbox\": [402, 92, 417, 102]}, {\"cell\": \"0%\", \"bbox\": [450, 92, 462, 102]}, {\"cell\": \"<b>Larger molecules</b>\", \"bbox\": [1, 105, 62, 115]}, {\"cell\": \"Vancomycin (1.8 kDa)\", \"bbox\": [1, 119, 72, 128]}, {\"cell\": \"1 [33]; 10\", \"bbox\": [166, 119, 198, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 119, 297, 128]}, {\"cell\": \"+8% to +28%\", \"bbox\": [330, 119, 377, 128]}, {\"cell\": \"0.0003\", \"bbox\": [398, 119, 421, 128]}, {\"cell\": \"n/a\", \"bbox\": [449, 119, 462, 128]}, {\"cell\": \"β<sub>2</sub>-microglobulin (11.8 kDa)\", \"bbox\": [1, 132, 91, 142]}, {\"cell\": \"2 [37,38]; 33\", \"bbox\": [161, 132, 202, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [276, 130, 299, 141]}, {\"cell\": \"+78% to +112%\", \"bbox\": [327, 132, 381, 141]}, {\"cell\": \"<0.0001\", \"bbox\": [396, 132, 423, 141]}, {\"cell\": \"0%\", \"bbox\": [450, 132, 462, 141]}, {\"cell\": \"IL-1 Receptor Agonist (16-18 kDa)\", \"bbox\": [1, 145, 94, 163]}, {\"cell\": \"1 [24]; 12\", \"bbox\": [166, 145, 198, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [275, 143, 300, 154]}, {\"cell\": \"+24% to +153%\", \"bbox\": [327, 145, 381, 154]}, {\"cell\": \"0.002\", \"bbox\": [400, 145, 419, 154]}, {\"cell\": \"n/a\", \"bbox\": [449, 145, 462, 154]}, {\"cell\": \"Retinol Binding Protein (21.2 kDa)\", \"bbox\": [1, 167, 94, 186]}, {\"cell\": \"1 [37]; 18\", \"bbox\": [166, 167, 198, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [277, 167, 297, 177]}, {\"cell\": \"+4% to +94%\", \"bbox\": [330, 167, 377, 177]}, {\"cell\": \"0.03\", \"bbox\": [402, 167, 417, 177]}, {\"cell\": \"n/a\", \"bbox\": [449, 167, 462, 177]}, {\"cell\": \"IL-6 (26 kDa)\", \"bbox\": [1, 189, 43, 199]}, {\"cell\": \"2 [24,34]; 22\", \"bbox\": [161, 189, 202, 199]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [276, 188, 298, 199]}, {\"cell\": \"-62% to +191%\", \"bbox\": [328, 189, 380, 199]}, {\"cell\": \"0.91\", \"bbox\": [402, 189, 417, 199]}, {\"cell\": \"89%\", \"bbox\": [448, 189, 463, 199]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3580734_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}934{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Matrix</b></td><td><b>LOD</b></td><td><b>Level</b></td><td><b>Measured</b></td><td><b>Recovery (%)</b></td><td><b>RSD%</b></td></tr></thead><tbody><tr><td>Blood (μg/L)</td><td>0.45</td><td>[EMPTY_CELL]</td><td>4.87 ± 0.42 (<i>n</i> = 54)</td><td>97.4</td><td>4.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>49.17 ± 1.58 (<i>n</i> = 54)</td><td>98.3</td><td>3.2</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>151.09 ± 10.21 (<i>n</i> = 54)</td><td>100.7</td><td>6.8</td></tr><tr><td rowspan=\\\"3\\\">Vegetable (laver) (μg/kg)</td><td>5.0</td><td>[EMPTY_CELL]</td><td>48.26 ± 2.13 (<i>n</i> = 12)</td><td>96.5</td><td>4.4</td></tr><tr><td>[EMPTY_CELL]</td><td>200</td><td>[EMPTY_CELL]</td><td>98.9</td><td>5.5</td></tr><tr><td>[EMPTY_CELL]</td><td>500</td><td>[EMPTY_CELL]</td><td>100.6</td><td>3.8</td></tr><tr><td>Soil (μg/kg)</td><td>5</td><td>[EMPTY_CELL]</td><td>49.05 ± 2.97 (<i>n</i> = 12)</td><td>98.1</td><td>6.1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>198.28 ± 8.75 (<i>n</i> = 12)</td><td>99.1</td><td>4.4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>495.87 ± 23.22 (<i>n</i> = 12)</td><td>99.2</td><td>4.7</td></tr><tr><td>Water (μg/L)</td><td>2.5</td><td>[EMPTY_CELL]</td><td>19.41 ± 1.06 (<i>n</i> = 12)</td><td>97.0</td><td>5.4</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>98.76 ± 3.05 (<i>n</i> = 12)</td><td>98.8</td><td>3.1</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>496.28 ± 14.79 (<i>n</i> = 12)</td><td>99.3</td><td>3.0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Matrix</b>\", \"bbox\": [42, 5, 71, 16]}, {\"cell\": \"<b>LOD</b>\", \"bbox\": [119, 5, 141, 16]}, {\"cell\": \"<b>Level</b>\", \"bbox\": [159, 5, 184, 16]}, {\"cell\": \"<b>Measured</b>\", \"bbox\": [227, 5, 270, 16]}, {\"cell\": \"<b>Recovery (%)</b>\", \"bbox\": [312, 5, 368, 16]}, {\"cell\": \"<b>RSD%</b>\", \"bbox\": [385, 5, 414, 16]}, {\"cell\": \"Blood (μg/L)\", \"bbox\": [29, 21, 84, 32]}, {\"cell\": \"0.45\", \"bbox\": [121, 21, 139, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [168, 21, 175, 32]}, {\"cell\": \"4.87 ± 0.42 (<i>n</i> = 54)\", \"bbox\": [210, 21, 287, 32]}, {\"cell\": \"97.4\", \"bbox\": [332, 21, 349, 32]}, {\"cell\": \"4.5\", \"bbox\": [393, 21, 406, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 32, 177, 43]}, {\"cell\": \"49.17 ± 1.58 (<i>n</i> = 54)\", \"bbox\": [208, 32, 289, 43]}, {\"cell\": \"98.3\", \"bbox\": [332, 32, 349, 43]}, {\"cell\": \"3.2\", \"bbox\": [393, 32, 406, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 43, 179, 54]}, {\"cell\": \"151.09 ± 10.21 (<i>n</i> = 54)\", \"bbox\": [203, 43, 294, 54]}, {\"cell\": \"100.7\", \"bbox\": [329, 43, 351, 54]}, {\"cell\": \"6.8\", \"bbox\": [393, 43, 406, 54]}, {\"cell\": \"Vegetable (laver) (μg/kg)\", \"bbox\": [6, 69, 107, 80]}, {\"cell\": \"5.0\", \"bbox\": [123, 59, 137, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 59, 177, 70]}, {\"cell\": \"48.26 ± 2.13 (<i>n</i> = 12)\", \"bbox\": [208, 59, 289, 70]}, {\"cell\": \"96.5\", \"bbox\": [332, 59, 349, 70]}, {\"cell\": \"4.4\", \"bbox\": [393, 59, 406, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"200\", \"bbox\": [164, 70, 179, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 70, 294, 81]}, {\"cell\": \"98.9\", \"bbox\": [332, 70, 349, 81]}, {\"cell\": \"5.5\", \"bbox\": [393, 70, 406, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"500\", \"bbox\": [164, 81, 179, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [203, 81, 294, 92]}, {\"cell\": \"100.6\", \"bbox\": [329, 81, 351, 92]}, {\"cell\": \"3.8\", \"bbox\": [393, 81, 406, 92]}, {\"cell\": \"Soil (μg/kg)\", \"bbox\": [31, 96, 82, 108]}, {\"cell\": \"5\", \"bbox\": [127, 96, 133, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 96, 177, 108]}, {\"cell\": \"49.05 ± 2.97 (<i>n</i> = 12)\", \"bbox\": [208, 96, 289, 108]}, {\"cell\": \"98.1\", \"bbox\": [332, 96, 349, 108]}, {\"cell\": \"6.1\", \"bbox\": [393, 96, 406, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 108, 179, 119]}, {\"cell\": \"198.28 ± 8.75 (<i>n</i> = 12)\", \"bbox\": [206, 108, 292, 119]}, {\"cell\": \"99.1\", \"bbox\": [332, 108, 349, 119]}, {\"cell\": \"4.4\", \"bbox\": [393, 108, 406, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 119, 179, 130]}, {\"cell\": \"495.87 ± 23.22 (<i>n</i> = 12)\", \"bbox\": [203, 119, 294, 130]}, {\"cell\": \"99.2\", \"bbox\": [332, 119, 349, 130]}, {\"cell\": \"4.7\", \"bbox\": [393, 119, 406, 130]}, {\"cell\": \"Water (μg/L)\", \"bbox\": [29, 134, 84, 145]}, {\"cell\": \"2.5\", \"bbox\": [123, 134, 137, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 134, 177, 145]}, {\"cell\": \"19.41 ± 1.06 (<i>n</i> = 12)\", \"bbox\": [208, 134, 289, 145]}, {\"cell\": \"97.0\", \"bbox\": [332, 134, 349, 145]}, {\"cell\": \"5.4\", \"bbox\": [393, 134, 406, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 145, 179, 156]}, {\"cell\": \"98.76 ± 3.05 (<i>n</i> = 12)\", \"bbox\": [208, 145, 289, 156]}, {\"cell\": \"98.8\", \"bbox\": [332, 145, 349, 156]}, {\"cell\": \"3.1\", \"bbox\": [393, 145, 406, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 156, 179, 167]}, {\"cell\": \"496.28 ± 14.79 (<i>n</i> = 12)\", \"bbox\": [203, 156, 294, 167]}, {\"cell\": \"99.3\", \"bbox\": [332, 156, 349, 167]}, {\"cell\": \"3.0\", \"bbox\": [393, 156, 406, 167]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4923998_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}935{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Children with a Major Birth Defect</b></td><td colspan=\\\"4\\\"><b>Children without a Birth Defect (Comparison Group)</b></td><td>[EMPTY_CELL]</td></tr><tr><td><b>Age Period</b></td><td><b>No. Children at start of age period</b></td><td><b>% Children Admitted<sup>1</sup></b></td><td><b>Mean annual LOS per child admitted (days)</b></td><td><b>Admissions per Child Admitted</b></td><td><b>No. Children at start of age period</b></td><td><b>% Children Admitted<sup>1</sup></b></td><td><b>Mean annual LOS per child admitted (days)</b></td><td><b>Admissions per Child Admitted</b></td><td><b>Rate Ratio Children Admitted (95% CI)<sup>2</sup></b></td></tr></thead><tbody><tr><td>< = 1 year</td><td>22,410</td><td>48.7</td><td>10.7</td><td>2.2</td><td>[EMPTY_CELL]</td><td>19.6</td><td>5.4</td><td>1.6</td><td>2.48 (2.45–2.52)</td></tr><tr><td>>1–2 years</td><td>20,057</td><td>36.8</td><td>6.6</td><td>1.9</td><td>[EMPTY_CELL]</td><td>14.9</td><td>4.1</td><td>1.5</td><td>2.46 (2.42–2.51)</td></tr><tr><td>>2–3 years</td><td>18,777</td><td>28.9</td><td>5.1</td><td>1.8</td><td>[EMPTY_CELL]</td><td>11.4</td><td>2.9</td><td>1.4</td><td>2.53 (2.47–2.59)</td></tr><tr><td>>3–4 years</td><td>17,456</td><td>25.5</td><td>4.6</td><td>1.7</td><td>[EMPTY_CELL]</td><td>10.1</td><td>2.5</td><td>1.3</td><td>2.52 (2.45–2.59)</td></tr><tr><td>>4–5 years</td><td>16,124</td><td>23.0</td><td>4.2</td><td>1.6</td><td>[EMPTY_CELL]</td><td>9.3</td><td>2.3</td><td>1.3</td><td>2.46 (2.39–2.54)</td></tr><tr><td>>5–12 years</td><td>7,983</td><td>51.1</td><td>1.2</td><td>3.0</td><td>[EMPTY_CELL]</td><td>31.7</td><td>0.5</td><td>1.8</td><td>1.61 (1.58–1.65)</td></tr><tr><td>>12–18 years</td><td>2,337</td><td>40.9</td><td>1.6</td><td>2.8</td><td>[EMPTY_CELL]</td><td>33.6</td><td>0.8</td><td>1.9</td><td>1.22 (1.16–1.28)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Children with a Major Birth Defect</b>\", \"bbox\": [92, 4, 211, 14]}, {\"cell\": \"<b>Children without a Birth Defect (Comparison Group)</b>\", \"bbox\": [265, 4, 447, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Age Period</b>\", \"bbox\": [9, 27, 48, 36]}, {\"cell\": \"<b>No. Children at start of age period</b>\", \"bbox\": [59, 27, 98, 64]}, {\"cell\": \"<b>% Children Admitted<sup>1</sup></b>\", \"bbox\": [107, 27, 146, 46]}, {\"cell\": \"<b>Mean annual LOS per child admitted (days)</b>\", \"bbox\": [154, 27, 197, 73]}, {\"cell\": \"<b>Admissions per Child Admitted</b>\", \"bbox\": [206, 27, 246, 55]}, {\"cell\": \"<b>No. Children at start of age period</b>\", \"bbox\": [258, 27, 298, 64]}, {\"cell\": \"<b>% Children Admitted<sup>1</sup></b>\", \"bbox\": [309, 27, 348, 46]}, {\"cell\": \"<b>Mean annual LOS per child admitted (days)</b>\", \"bbox\": [354, 27, 396, 73]}, {\"cell\": \"<b>Admissions per Child Admitted</b>\", \"bbox\": [406, 27, 445, 55]}, {\"cell\": \"<b>Rate Ratio Children Admitted (95% CI)<sup>2</sup></b>\", \"bbox\": [457, 27, 494, 64]}, {\"cell\": \"< = 1 year\", \"bbox\": [11, 86, 48, 96]}, {\"cell\": \"22,410\", \"bbox\": [74, 86, 98, 96]}, {\"cell\": \"48.7\", \"bbox\": [118, 86, 134, 96]}, {\"cell\": \"10.7\", \"bbox\": [168, 86, 184, 96]}, {\"cell\": \"2.2\", \"bbox\": [220, 86, 232, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 86, 298, 96]}, {\"cell\": \"19.6\", \"bbox\": [332, 86, 348, 96]}, {\"cell\": \"5.4\", \"bbox\": [370, 86, 382, 96]}, {\"cell\": \"1.6\", \"bbox\": [420, 86, 432, 96]}, {\"cell\": \"2.48 (2.45–2.52)\", \"bbox\": [456, 86, 495, 105]}, {\"cell\": \">1–2 years\", \"bbox\": [9, 105, 48, 115]}, {\"cell\": \"20,057\", \"bbox\": [74, 105, 98, 115]}, {\"cell\": \"36.8\", \"bbox\": [118, 105, 134, 115]}, {\"cell\": \"6.6\", \"bbox\": [170, 105, 182, 115]}, {\"cell\": \"1.9\", \"bbox\": [220, 105, 232, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 105, 298, 115]}, {\"cell\": \"14.9\", \"bbox\": [332, 105, 348, 115]}, {\"cell\": \"4.1\", \"bbox\": [370, 105, 382, 115]}, {\"cell\": \"1.5\", \"bbox\": [420, 105, 432, 115]}, {\"cell\": \"2.46 (2.42–2.51)\", \"bbox\": [456, 105, 495, 124]}, {\"cell\": \">2–3 years\", \"bbox\": [9, 125, 48, 135]}, {\"cell\": \"18,777\", \"bbox\": [74, 125, 98, 135]}, {\"cell\": \"28.9\", \"bbox\": [118, 125, 134, 135]}, {\"cell\": \"5.1\", \"bbox\": [170, 125, 182, 135]}, {\"cell\": \"1.8\", \"bbox\": [220, 125, 232, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 125, 298, 135]}, {\"cell\": \"11.4\", \"bbox\": [332, 125, 348, 135]}, {\"cell\": \"2.9\", \"bbox\": [370, 125, 382, 135]}, {\"cell\": \"1.4\", \"bbox\": [420, 125, 432, 135]}, {\"cell\": \"2.53 (2.47–2.59)\", \"bbox\": [456, 125, 495, 144]}, {\"cell\": \">3–4 years\", \"bbox\": [9, 144, 48, 154]}, {\"cell\": \"17,456\", \"bbox\": [74, 144, 98, 154]}, {\"cell\": \"25.5\", \"bbox\": [118, 144, 134, 154]}, {\"cell\": \"4.6\", \"bbox\": [170, 144, 182, 154]}, {\"cell\": \"1.7\", \"bbox\": [220, 144, 232, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 144, 298, 154]}, {\"cell\": \"10.1\", \"bbox\": [332, 144, 348, 154]}, {\"cell\": \"2.5\", \"bbox\": [370, 144, 382, 154]}, {\"cell\": \"1.3\", \"bbox\": [420, 144, 432, 154]}, {\"cell\": \"2.52 (2.45–2.59)\", \"bbox\": [456, 144, 495, 163]}, {\"cell\": \">4–5 years\", \"bbox\": [9, 164, 48, 174]}, {\"cell\": \"16,124\", \"bbox\": [74, 164, 98, 174]}, {\"cell\": \"23.0\", \"bbox\": [118, 164, 134, 174]}, {\"cell\": \"4.2\", \"bbox\": [170, 164, 182, 174]}, {\"cell\": \"1.6\", \"bbox\": [220, 164, 232, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 164, 298, 174]}, {\"cell\": \"9.3\", \"bbox\": [336, 164, 348, 174]}, {\"cell\": \"2.3\", \"bbox\": [370, 164, 382, 174]}, {\"cell\": \"1.3\", \"bbox\": [420, 164, 432, 174]}, {\"cell\": \"2.46 (2.39–2.54)\", \"bbox\": [456, 164, 495, 183]}, {\"cell\": \">5–12 years\", \"bbox\": [5, 183, 48, 193]}, {\"cell\": \"7,983\", \"bbox\": [78, 183, 98, 193]}, {\"cell\": \"51.1\", \"bbox\": [118, 183, 134, 193]}, {\"cell\": \"1.2\", \"bbox\": [170, 183, 182, 193]}, {\"cell\": \"3.0\", \"bbox\": [220, 183, 232, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [269, 183, 298, 193]}, {\"cell\": \"31.7\", \"bbox\": [332, 183, 348, 193]}, {\"cell\": \"0.5\", \"bbox\": [370, 183, 382, 193]}, {\"cell\": \"1.8\", \"bbox\": [420, 183, 432, 193]}, {\"cell\": \"1.61 (1.58–1.65)\", \"bbox\": [456, 183, 495, 202]}, {\"cell\": \">12–18 years\", \"bbox\": [21, 203, 48, 222]}, {\"cell\": \"2,337\", \"bbox\": [78, 203, 98, 213]}, {\"cell\": \"40.9\", \"bbox\": [118, 203, 134, 213]}, {\"cell\": \"1.6\", \"bbox\": [170, 203, 182, 213]}, {\"cell\": \"2.8\", \"bbox\": [220, 203, 232, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [273, 203, 298, 213]}, {\"cell\": \"33.6\", \"bbox\": [332, 203, 348, 213]}, {\"cell\": \"0.8\", \"bbox\": [370, 203, 382, 213]}, {\"cell\": \"1.9\", \"bbox\": [420, 203, 432, 213]}, {\"cell\": \"1.22 (1.16–1.28)\", \"bbox\": [456, 203, 495, 222]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2692976_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}936{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Age (y)</b></td><td><b>No abuse n = 28</b></td><td><b>Abuse n = 12</b></td><td><b>p*</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>0</td><td>3577.35 (574.91)</td><td>3338.21 (590.25)</td><td>0.24</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>1.24 (0.07)</td><td>1.21 (0.07)</td><td>0.27</td></tr><tr><td>[EMPTY_CELL]</td><td>16</td><td>14.82 (7.32)</td><td>12.29 (7.95)</td><td>0.44</td></tr><tr><td>[EMPTY_CELL]</td><td>16</td><td>27 (21, 31)</td><td>31 (12, 32)</td><td>0.70</td></tr><tr><td>[EMPTY_CELL]</td><td>7</td><td>4 (1, 12)</td><td>8.5 (2, 13)</td><td>0.47</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>7 (25.93)</td><td>2 (16.67)</td><td>0.53</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>7 (25.93)</td><td>4 (33.33)</td><td>0.64</td></tr><tr><td>[EMPTY_CELL]</td><td>42</td><td>1.78 (0.09)</td><td>1.76 (0.06)</td><td>0.52</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td><td>26.63 (3.99)</td><td>28.69 (4.39)</td><td>0.16</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td><td>97.43 (10.24)</td><td>102 (12.02)</td><td>0.23</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td><td>82.77 (11.71)</td><td>85.53 (12.72)</td><td>0.51</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td><td>132.92 (18.61)</td><td>134.72 (18.90)</td><td>0.78</td></tr><tr><td>[EMPTY_CELL]</td><td>45</td><td>3.84 (0.65)</td><td>3.70 (0.63)</td><td>0.53</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Age (y)</b>\", \"bbox\": [222, 4, 249, 13]}, {\"cell\": \"<b>No abuse n = 28</b>\", \"bbox\": [285, 4, 343, 13]}, {\"cell\": \"<b>Abuse n = 12</b>\", \"bbox\": [383, 4, 430, 13]}, {\"cell\": \"<b>p*</b>\", \"bbox\": [472, 4, 482, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 15, 89, 27]}, {\"cell\": \"0\", \"bbox\": [222, 17, 228, 27]}, {\"cell\": \"3577.35 (574.91)\", \"bbox\": [288, 17, 341, 27]}, {\"cell\": \"3338.21 (590.25)\", \"bbox\": [380, 17, 433, 27]}, {\"cell\": \"0.24\", \"bbox\": [470, 17, 484, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 29, 82, 41]}, {\"cell\": \"7\", \"bbox\": [222, 31, 228, 41]}, {\"cell\": \"1.24 (0.07)\", \"bbox\": [297, 31, 331, 41]}, {\"cell\": \"1.21 (0.07)\", \"bbox\": [389, 31, 423, 41]}, {\"cell\": \"0.27\", \"bbox\": [470, 31, 484, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 43, 85, 55]}, {\"cell\": \"16\", \"bbox\": [222, 45, 232, 55]}, {\"cell\": \"14.82 (7.32)\", \"bbox\": [295, 45, 333, 55]}, {\"cell\": \"12.29 (7.95)\", \"bbox\": [387, 45, 425, 55]}, {\"cell\": \"0.44\", \"bbox\": [470, 45, 484, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 57, 110, 69]}, {\"cell\": \"16\", \"bbox\": [222, 59, 232, 69]}, {\"cell\": \"27 (21, 31)\", \"bbox\": [297, 59, 332, 69]}, {\"cell\": \"31 (12, 32)\", \"bbox\": [389, 59, 424, 69]}, {\"cell\": \"0.70\", \"bbox\": [470, 59, 484, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 71, 185, 83]}, {\"cell\": \"7\", \"bbox\": [222, 73, 228, 83]}, {\"cell\": \"4 (1, 12)\", \"bbox\": [300, 73, 328, 83]}, {\"cell\": \"8.5 (2, 13)\", \"bbox\": [390, 73, 423, 83]}, {\"cell\": \"0.47\", \"bbox\": [470, 73, 484, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 85, 88, 97]}, {\"cell\": \"42\", \"bbox\": [222, 87, 232, 97]}, {\"cell\": \"7 (25.93)\", \"bbox\": [300, 87, 329, 97]}, {\"cell\": \"2 (16.67)\", \"bbox\": [392, 87, 421, 97]}, {\"cell\": \"0.53\", \"bbox\": [470, 87, 484, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 52, 111]}, {\"cell\": \"42\", \"bbox\": [222, 101, 232, 111]}, {\"cell\": \"7 (25.93)\", \"bbox\": [300, 101, 329, 111]}, {\"cell\": \"4 (33.33)\", \"bbox\": [392, 101, 421, 111]}, {\"cell\": \"0.64\", \"bbox\": [470, 101, 484, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 113, 79, 125]}, {\"cell\": \"42\", \"bbox\": [222, 115, 232, 125]}, {\"cell\": \"1.78 (0.09)\", \"bbox\": [297, 115, 331, 125]}, {\"cell\": \"1.76 (0.06)\", \"bbox\": [389, 115, 423, 125]}, {\"cell\": \"0.52\", \"bbox\": [470, 115, 484, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 127, 76, 139]}, {\"cell\": \"45\", \"bbox\": [222, 129, 232, 139]}, {\"cell\": \"26.63 (3.99)\", \"bbox\": [295, 129, 333, 139]}, {\"cell\": \"28.69 (4.39)\", \"bbox\": [387, 129, 425, 139]}, {\"cell\": \"0.16\", \"bbox\": [470, 129, 484, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 143, 119, 153]}, {\"cell\": \"45\", \"bbox\": [222, 143, 232, 153]}, {\"cell\": \"97.43 (10.24)\", \"bbox\": [293, 143, 335, 153]}, {\"cell\": \"102 (12.02)\", \"bbox\": [388, 143, 425, 153]}, {\"cell\": \"0.23\", \"bbox\": [470, 143, 484, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 157, 144, 167]}, {\"cell\": \"45\", \"bbox\": [222, 157, 232, 167]}, {\"cell\": \"82.77 (11.71)\", \"bbox\": [293, 157, 335, 167]}, {\"cell\": \"85.53 (12.72)\", \"bbox\": [386, 157, 427, 167]}, {\"cell\": \"0.51\", \"bbox\": [470, 157, 484, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 171, 141, 181]}, {\"cell\": \"45\", \"bbox\": [222, 171, 232, 181]}, {\"cell\": \"132.92 (18.61)\", \"bbox\": [291, 171, 337, 181]}, {\"cell\": \"134.72 (18.90)\", \"bbox\": [384, 171, 429, 181]}, {\"cell\": \"0.78\", \"bbox\": [470, 171, 484, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 183, 62, 195]}, {\"cell\": \"45\", \"bbox\": [222, 185, 232, 195]}, {\"cell\": \"3.84 (0.65)\", \"bbox\": [297, 185, 331, 195]}, {\"cell\": \"3.70 (0.63)\", \"bbox\": [389, 185, 423, 195]}, {\"cell\": \"0.53\", \"bbox\": [470, 185, 484, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4007631_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}937{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Study</b></td><td rowspan=\\\"2\\\"><b>pCR, <i>n</i> (%)</b></td><td colspan=\\\"3\\\"><b>LR</b></td><td colspan=\\\"3\\\"><b>DR</b></td><td colspan=\\\"3\\\"><b>DFS</b></td><td colspan=\\\"3\\\"><b>OS</b></td></tr><tr><td><b>Overall event/event</b></td><td><b>RR</b></td><td><b>Power</b></td><td><b>Overall event/event</b></td><td><b>RR</b></td><td><b>Power</b></td><td><b>Overall event/event</b></td><td><b>RR</b></td><td><b>Power</b></td><td><b>Overall event/event</b></td><td><b>RR</b></td><td><b>Power</b></td></tr></thead><tbody><tr><td>Caudle 2012 [19]</td><td>124 (20.8)</td><td>37/3</td><td>0.34</td><td>0.605</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>Bonadonna 2002 [20]</td><td>7 (3.3)</td><td>8/0</td><td>1.52</td><td>0.106</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>Fastner 2014 [17]</td><td>15 (14.0)</td><td>6/0</td><td>0.45</td><td>0.247</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>Noh 2014 [25]<sup>a</sup></td><td>102 (39.2)</td><td>13/2</td><td>0.28</td><td>0.476</td><td>[EMPTY_CELL]</td><td>0.09</td><td>0.911</td><td>55/3</td><td>0.09</td><td>1</td><td>9/0</td><td>0.08</td><td>0.751</td></tr><tr><td>Shen 2004 [16]<sup>a</sup></td><td>4 (12.1)</td><td>5/0</td><td>0.55</td><td>0.195</td><td>[EMPTY_CELL]</td><td>0.32</td><td>0.345</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>Cho 2013 [22]</td><td>38 (30.6)</td><td>6/0</td><td>0.17</td><td>0.482</td><td>[EMPTY_CELL]</td><td>0.15</td><td>0.723</td><td>21/1</td><td>0.11</td><td>0.897</td><td>15/4</td><td>0.82</td><td>0.066</td></tr><tr><td>Jimbo 2014 [21]</td><td>63 (32.5)</td><td>5/2</td><td>1.39</td><td>0.065</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>Yamazaki 2015 [26]<sup>a</sup></td><td>56 (25.8)</td><td>14/6</td><td>2.16</td><td>0.276</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>Rouzier 2001 [10]</td><td>28 (10.9)</td><td>41/2</td><td>0.42</td><td>0.328</td><td>[EMPTY_CELL]</td><td>0.49</td><td>0.441</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>Mclntosh 2003 [18]</td><td>18 (40.9)</td><td>1/0</td><td>0.47</td><td>0.138</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>Beriwal 2006 [24]<sup>a</sup></td><td>37 (24.2)</td><td>21/4</td><td>0.74</td><td>0.095</td><td>[EMPTY_CELL]</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td><td>NA</td></tr><tr><td>total</td><td>492 (22.4)</td><td>157/19</td><td>0.59</td><td>0.933</td><td>[EMPTY_CELL]</td><td>0.27</td><td>1</td><td>76/4</td><td>0.09</td><td>1</td><td>24/4</td><td>0.36</td><td>0.589</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Study</b>\", \"bbox\": [1, 4, 21, 13]}, {\"cell\": \"<b>pCR, <i>n</i> (%)</b>\", \"bbox\": [68, 4, 90, 22]}, {\"cell\": \"<b>LR</b>\", \"bbox\": [105, 4, 114, 13]}, {\"cell\": \"<b>DR</b>\", \"bbox\": [201, 4, 212, 13]}, {\"cell\": \"<b>DFS</b>\", \"bbox\": [296, 4, 311, 13]}, {\"cell\": \"<b>OS</b>\", \"bbox\": [392, 4, 403, 13]}, {\"cell\": \"<b>Overall event/event</b>\", \"bbox\": [105, 17, 152, 36]}, {\"cell\": \"<b>RR</b>\", \"bbox\": [156, 17, 166, 27]}, {\"cell\": \"<b>Power</b>\", \"bbox\": [174, 17, 197, 27]}, {\"cell\": \"<b>Overall event/event</b>\", \"bbox\": [201, 17, 248, 36]}, {\"cell\": \"<b>RR</b>\", \"bbox\": [252, 17, 262, 27]}, {\"cell\": \"<b>Power</b>\", \"bbox\": [270, 17, 293, 27]}, {\"cell\": \"<b>Overall event/event</b>\", \"bbox\": [296, 17, 344, 36]}, {\"cell\": \"<b>RR</b>\", \"bbox\": [348, 17, 358, 27]}, {\"cell\": \"<b>Power</b>\", \"bbox\": [366, 17, 388, 27]}, {\"cell\": \"<b>Overall event/event</b>\", \"bbox\": [392, 17, 439, 36]}, {\"cell\": \"<b>RR</b>\", \"bbox\": [443, 17, 453, 27]}, {\"cell\": \"<b>Power</b>\", \"bbox\": [462, 17, 484, 27]}, {\"cell\": \"Caudle 2012 [19]\", \"bbox\": [0, 39, 56, 49]}, {\"cell\": \"124 (20.8)\", \"bbox\": [68, 39, 101, 49]}, {\"cell\": \"37/3\", \"bbox\": [105, 39, 121, 49]}, {\"cell\": \"0.34\", \"bbox\": [156, 39, 170, 49]}, {\"cell\": \"0.605\", \"bbox\": [174, 39, 193, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 39, 212, 49]}, {\"cell\": \"NA\", \"bbox\": [252, 39, 263, 49]}, {\"cell\": \"NA\", \"bbox\": [270, 39, 282, 49]}, {\"cell\": \"NA\", \"bbox\": [296, 39, 308, 49]}, {\"cell\": \"NA\", \"bbox\": [348, 39, 359, 49]}, {\"cell\": \"NA\", \"bbox\": [366, 39, 378, 49]}, {\"cell\": \"NA\", \"bbox\": [392, 39, 404, 49]}, {\"cell\": \"NA\", \"bbox\": [443, 39, 455, 49]}, {\"cell\": \"NA\", \"bbox\": [462, 39, 474, 49]}, {\"cell\": \"Bonadonna 2002 [20]\", \"bbox\": [0, 53, 57, 72]}, {\"cell\": \"7 (3.3)\", \"bbox\": [68, 53, 89, 63]}, {\"cell\": \"8/0\", \"bbox\": [105, 53, 117, 63]}, {\"cell\": \"1.52\", \"bbox\": [156, 53, 170, 63]}, {\"cell\": \"0.106\", \"bbox\": [174, 53, 193, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 53, 212, 63]}, {\"cell\": \"NA\", \"bbox\": [252, 53, 263, 63]}, {\"cell\": \"NA\", \"bbox\": [270, 53, 282, 63]}, {\"cell\": \"NA\", \"bbox\": [296, 53, 308, 63]}, {\"cell\": \"NA\", \"bbox\": [348, 53, 359, 63]}, {\"cell\": \"NA\", \"bbox\": [366, 53, 378, 63]}, {\"cell\": \"NA\", \"bbox\": [392, 53, 404, 63]}, {\"cell\": \"NA\", \"bbox\": [443, 53, 455, 63]}, {\"cell\": \"NA\", \"bbox\": [462, 53, 474, 63]}, {\"cell\": \"Fastner 2014 [17]\", \"bbox\": [1, 76, 57, 86]}, {\"cell\": \"15 (14.0)\", \"bbox\": [68, 76, 97, 86]}, {\"cell\": \"6/0\", \"bbox\": [105, 76, 117, 86]}, {\"cell\": \"0.45\", \"bbox\": [156, 76, 170, 86]}, {\"cell\": \"0.247\", \"bbox\": [174, 76, 193, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 76, 212, 86]}, {\"cell\": \"NA\", \"bbox\": [252, 76, 263, 86]}, {\"cell\": \"NA\", \"bbox\": [270, 76, 282, 86]}, {\"cell\": \"NA\", \"bbox\": [296, 76, 308, 86]}, {\"cell\": \"NA\", \"bbox\": [348, 76, 359, 86]}, {\"cell\": \"NA\", \"bbox\": [366, 76, 378, 86]}, {\"cell\": \"NA\", \"bbox\": [392, 76, 404, 86]}, {\"cell\": \"NA\", \"bbox\": [443, 76, 455, 86]}, {\"cell\": \"NA\", \"bbox\": [462, 76, 474, 86]}, {\"cell\": \"Noh 2014 [25]<sup>a</sup>\", \"bbox\": [1, 89, 51, 100]}, {\"cell\": \"102 (39.2)\", \"bbox\": [68, 90, 101, 100]}, {\"cell\": \"13/2\", \"bbox\": [105, 90, 121, 100]}, {\"cell\": \"0.28\", \"bbox\": [156, 90, 170, 100]}, {\"cell\": \"0.476\", \"bbox\": [174, 90, 193, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 90, 217, 100]}, {\"cell\": \"0.09\", \"bbox\": [252, 90, 266, 100]}, {\"cell\": \"0.911\", \"bbox\": [270, 90, 289, 100]}, {\"cell\": \"55/3\", \"bbox\": [296, 90, 313, 100]}, {\"cell\": \"0.09\", \"bbox\": [348, 90, 362, 100]}, {\"cell\": \"1\", \"bbox\": [366, 90, 372, 100]}, {\"cell\": \"9/0\", \"bbox\": [392, 90, 405, 100]}, {\"cell\": \"0.08\", \"bbox\": [443, 90, 458, 100]}, {\"cell\": \"0.751\", \"bbox\": [462, 90, 481, 100]}, {\"cell\": \"Shen 2004 [16]<sup>a</sup>\", \"bbox\": [1, 103, 53, 114]}, {\"cell\": \"4 (12.1)\", \"bbox\": [68, 104, 93, 114]}, {\"cell\": \"5/0\", \"bbox\": [105, 104, 117, 114]}, {\"cell\": \"0.55\", \"bbox\": [156, 104, 170, 114]}, {\"cell\": \"0.195\", \"bbox\": [174, 104, 193, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 104, 213, 114]}, {\"cell\": \"0.32\", \"bbox\": [252, 104, 266, 114]}, {\"cell\": \"0.345\", \"bbox\": [270, 104, 289, 114]}, {\"cell\": \"NA\", \"bbox\": [296, 104, 308, 114]}, {\"cell\": \"NA\", \"bbox\": [348, 104, 359, 114]}, {\"cell\": \"NA\", \"bbox\": [366, 104, 378, 114]}, {\"cell\": \"NA\", \"bbox\": [392, 104, 404, 114]}, {\"cell\": \"NA\", \"bbox\": [443, 104, 455, 114]}, {\"cell\": \"NA\", \"bbox\": [462, 104, 474, 114]}, {\"cell\": \"Cho 2013 [22]\", \"bbox\": [1, 118, 47, 128]}, {\"cell\": \"38 (30.6)\", \"bbox\": [68, 118, 97, 128]}, {\"cell\": \"6/0\", \"bbox\": [105, 118, 117, 128]}, {\"cell\": \"0.17\", \"bbox\": [156, 118, 170, 128]}, {\"cell\": \"0.482\", \"bbox\": [174, 118, 193, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 118, 217, 128]}, {\"cell\": \"0.15\", \"bbox\": [252, 118, 266, 128]}, {\"cell\": \"0.723\", \"bbox\": [270, 118, 289, 128]}, {\"cell\": \"21/1\", \"bbox\": [296, 118, 313, 128]}, {\"cell\": \"0.11\", \"bbox\": [348, 118, 362, 128]}, {\"cell\": \"0.897\", \"bbox\": [366, 118, 385, 128]}, {\"cell\": \"15/4\", \"bbox\": [392, 118, 409, 128]}, {\"cell\": \"0.82\", \"bbox\": [443, 118, 458, 128]}, {\"cell\": \"0.066\", \"bbox\": [462, 118, 481, 128]}, {\"cell\": \"Jimbo 2014 [21]\", \"bbox\": [1, 132, 54, 142]}, {\"cell\": \"63 (32.5)\", \"bbox\": [68, 132, 97, 142]}, {\"cell\": \"5/2\", \"bbox\": [105, 132, 117, 142]}, {\"cell\": \"1.39\", \"bbox\": [156, 132, 170, 142]}, {\"cell\": \"0.065\", \"bbox\": [174, 132, 193, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 132, 212, 142]}, {\"cell\": \"NA\", \"bbox\": [252, 132, 263, 142]}, {\"cell\": \"NA\", \"bbox\": [270, 132, 282, 142]}, {\"cell\": \"NA\", \"bbox\": [296, 132, 308, 142]}, {\"cell\": \"NA\", \"bbox\": [348, 132, 359, 142]}, {\"cell\": \"NA\", \"bbox\": [366, 132, 378, 142]}, {\"cell\": \"NA\", \"bbox\": [392, 132, 404, 142]}, {\"cell\": \"NA\", \"bbox\": [443, 132, 455, 142]}, {\"cell\": \"NA\", \"bbox\": [462, 132, 474, 142]}, {\"cell\": \"Yamazaki 2015 [26]<sup>a</sup>\", \"bbox\": [1, 146, 50, 165]}, {\"cell\": \"56 (25.8)\", \"bbox\": [68, 146, 97, 156]}, {\"cell\": \"14/6\", \"bbox\": [105, 146, 121, 156]}, {\"cell\": \"2.16\", \"bbox\": [156, 146, 170, 156]}, {\"cell\": \"0.276\", \"bbox\": [174, 146, 193, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 146, 212, 156]}, {\"cell\": \"NA\", \"bbox\": [252, 146, 263, 156]}, {\"cell\": \"NA\", \"bbox\": [270, 146, 282, 156]}, {\"cell\": \"NA\", \"bbox\": [296, 146, 308, 156]}, {\"cell\": \"NA\", \"bbox\": [348, 146, 359, 156]}, {\"cell\": \"NA\", \"bbox\": [366, 146, 378, 156]}, {\"cell\": \"NA\", \"bbox\": [392, 146, 404, 156]}, {\"cell\": \"NA\", \"bbox\": [443, 146, 455, 156]}, {\"cell\": \"NA\", \"bbox\": [462, 146, 474, 156]}, {\"cell\": \"Rouzier 2001 [10]\", \"bbox\": [1, 169, 58, 179]}, {\"cell\": \"28 (10.9)\", \"bbox\": [68, 169, 97, 179]}, {\"cell\": \"41/2\", \"bbox\": [105, 169, 121, 179]}, {\"cell\": \"0.42\", \"bbox\": [156, 169, 170, 179]}, {\"cell\": \"0.328\", \"bbox\": [174, 169, 193, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 169, 217, 179]}, {\"cell\": \"0.49\", \"bbox\": [252, 169, 266, 179]}, {\"cell\": \"0.441\", \"bbox\": [270, 169, 289, 179]}, {\"cell\": \"NA\", \"bbox\": [296, 169, 308, 179]}, {\"cell\": \"NA\", \"bbox\": [348, 169, 359, 179]}, {\"cell\": \"NA\", \"bbox\": [366, 169, 378, 179]}, {\"cell\": \"NA\", \"bbox\": [392, 169, 404, 179]}, {\"cell\": \"NA\", \"bbox\": [443, 169, 455, 179]}, {\"cell\": \"NA\", \"bbox\": [462, 169, 474, 179]}, {\"cell\": \"Mclntosh 2003 [18]\", \"bbox\": [1, 183, 64, 193]}, {\"cell\": \"18 (40.9)\", \"bbox\": [68, 183, 97, 193]}, {\"cell\": \"1/0\", \"bbox\": [105, 183, 117, 193]}, {\"cell\": \"0.47\", \"bbox\": [156, 183, 170, 193]}, {\"cell\": \"0.138\", \"bbox\": [174, 183, 193, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 183, 212, 193]}, {\"cell\": \"NA\", \"bbox\": [252, 183, 263, 193]}, {\"cell\": \"NA\", \"bbox\": [270, 183, 282, 193]}, {\"cell\": \"NA\", \"bbox\": [296, 183, 308, 193]}, {\"cell\": \"NA\", \"bbox\": [348, 183, 359, 193]}, {\"cell\": \"NA\", \"bbox\": [366, 183, 378, 193]}, {\"cell\": \"NA\", \"bbox\": [392, 183, 404, 193]}, {\"cell\": \"NA\", \"bbox\": [443, 183, 455, 193]}, {\"cell\": \"NA\", \"bbox\": [462, 183, 474, 193]}, {\"cell\": \"Beriwal 2006 [24]<sup>a</sup>\", \"bbox\": [1, 196, 60, 207]}, {\"cell\": \"37 (24.2)\", \"bbox\": [68, 197, 97, 207]}, {\"cell\": \"21/4\", \"bbox\": [105, 197, 121, 207]}, {\"cell\": \"0.74\", \"bbox\": [156, 197, 170, 207]}, {\"cell\": \"0.095\", \"bbox\": [174, 197, 193, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 197, 212, 207]}, {\"cell\": \"NA\", \"bbox\": [252, 197, 263, 207]}, {\"cell\": \"NA\", \"bbox\": [270, 197, 282, 207]}, {\"cell\": \"NA\", \"bbox\": [296, 197, 308, 207]}, {\"cell\": \"NA\", \"bbox\": [348, 197, 359, 207]}, {\"cell\": \"NA\", \"bbox\": [366, 197, 378, 207]}, {\"cell\": \"NA\", \"bbox\": [392, 197, 404, 207]}, {\"cell\": \"NA\", \"bbox\": [443, 197, 455, 207]}, {\"cell\": \"NA\", \"bbox\": [462, 197, 474, 207]}, {\"cell\": \"total\", \"bbox\": [1, 211, 17, 221]}, {\"cell\": \"492 (22.4)\", \"bbox\": [68, 211, 101, 221]}, {\"cell\": \"157/19\", \"bbox\": [105, 211, 128, 221]}, {\"cell\": \"0.59\", \"bbox\": [156, 211, 170, 221]}, {\"cell\": \"0.933\", \"bbox\": [174, 211, 193, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [201, 211, 221, 221]}, {\"cell\": \"0.27\", \"bbox\": [252, 211, 266, 221]}, {\"cell\": \"1\", \"bbox\": [270, 211, 276, 221]}, {\"cell\": \"76/4\", \"bbox\": [296, 211, 313, 221]}, {\"cell\": \"0.09\", \"bbox\": [348, 211, 362, 221]}, {\"cell\": \"1\", \"bbox\": [366, 211, 372, 221]}, {\"cell\": \"24/4\", \"bbox\": [392, 211, 409, 221]}, {\"cell\": \"0.36\", \"bbox\": [443, 211, 458, 221]}, {\"cell\": \"0.589\", \"bbox\": [462, 211, 481, 221]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5706340_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}938{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Population</b></td><td><b>Species</b></td><td><b>Collection site; (State / Province); country</b></td><td><b>TPE repeats</b></td><td><b>Method used to obtain the number of repetitions of TPE</b></td></tr></thead><tbody><tr><td>1</td><td><i>D. melanogaster</i></td><td>Rio de Janeiro; (RJ); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing</td></tr><tr><td>2</td><td><i>D. melanogaster</i></td><td>Erechim; (RS); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>3</td><td><i>D. melanogaster</i></td><td>São José do Rio Preto; (SP); Brazil</td><td>[EMPTY_CELL]</td><td>PAGE</td></tr><tr><td>4</td><td><i>D. melanogaster</i></td><td>São José do Rio Preto; (SP); Brazil</td><td>[EMPTY_CELL]</td><td>PAGE</td></tr><tr><td>5</td><td><i>D. melanogaster</i></td><td>São José do Rio Preto; (SP); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>6</td><td><i>D. melanogaster</i></td><td>Santa Maria; (RS); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing</td></tr><tr><td>7</td><td><i>D. melanogaster</i></td><td>Porto Alegre; (RS); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>8</td><td><i>D. melanogaster</i></td><td>Rio Grande; (RS); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>9</td><td><i>D. melanogaster</i></td><td>Tangará da Serra; (MT); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>10</td><td><i>D. melanogaster</i></td><td>Jari; (RS); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>11</td><td><i>D. melanogaster</i></td><td>Serra da Capivara; (PI); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing</td></tr><tr><td>12</td><td><i>D. melanogaster</i></td><td>Manaus; (AM); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>13</td><td><i>D. melanogaster</i></td><td>Fernando de Noronha; (PE); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing</td></tr><tr><td>14</td><td><i>D. melanogaster</i></td><td>Fernando de Noronha; (PE); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing</td></tr><tr><td>15</td><td><i>D. melanogaster</i></td><td>Recife; (PE); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing</td></tr><tr><td>16</td><td><i>D. melanogaster</i></td><td>Ilha Governador; (RJ); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing</td></tr><tr><td>17</td><td><i>D. melanogaster</i></td><td>Santa Teresa; (RJ); Brazil</td><td>[EMPTY_CELL]</td><td>Sequencing</td></tr><tr><td>18</td><td><i>D. melanogaster</i></td><td>Venezuela</td><td>[EMPTY_CELL]</td><td>Sequencing</td></tr><tr><td>19</td><td><i>D. melanogaster</i></td><td>Vienna; Austria</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>20</td><td><i>D. melanogaster</i></td><td>Athens; (Attica); Greece</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>21</td><td><i>D. melanogaster</i></td><td>Prunay; (Marne); France</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>22</td><td><i>D. melanogaster</i></td><td>La Broche; (Upper Normandy); France</td><td>[EMPTY_CELL]</td><td>Sequencing and PAGE</td></tr><tr><td>23</td><td><i>D. simulans</i></td><td>Eldorado do Sul; (RS); Brazil</td><td>[EMPTY_CELL]</td><td>PAGE</td></tr><tr><td>24</td><td><i>D. simulans</i></td><td>Farrapos; (Río Negro); Uruguay</td><td>[EMPTY_CELL]</td><td>PAGE</td></tr><tr><td>25</td><td><i>D. simulans</i></td><td>Fernando de Noronha; (PE); Brazil</td><td>[EMPTY_CELL]</td><td>PAGE</td></tr><tr><td>26</td><td><i>D. simulans</i></td><td>Santa Maria; (RS); Brazil</td><td>[EMPTY_CELL]</td><td>PAGE</td></tr><tr><td>27</td><td><i>D. simulans</i></td><td>Lima; (Lima); Peru</td><td>[EMPTY_CELL]</td><td>PAGE</td></tr><tr><td>28</td><td><i>D. simulans</i></td><td>Havaí; (HI); United States</td><td>[EMPTY_CELL]</td><td>PAGE</td></tr><tr><td>29</td><td><i>D. simulans</i></td><td>Rio de Janeiro; (RJ); Brazil</td><td>[EMPTY_CELL]</td><td>PAGE</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Population</b>\", \"bbox\": [2, 7, 39, 16]}, {\"cell\": \"<b>Species</b>\", \"bbox\": [44, 7, 71, 16]}, {\"cell\": \"<b>Collection site; (State / Province); country</b>\", \"bbox\": [114, 7, 251, 16]}, {\"cell\": \"<b>TPE repeats</b>\", \"bbox\": [295, 7, 336, 16]}, {\"cell\": \"<b>Method used to obtain the number of repetitions of TPE</b>\", \"bbox\": [360, 7, 481, 25]}, {\"cell\": \"1\", \"bbox\": [2, 32, 8, 41]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 32, 100, 41]}, {\"cell\": \"Rio de Janeiro; (RJ); Brazil\", \"bbox\": [114, 32, 204, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 32, 318, 41]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 32, 440, 41]}, {\"cell\": \"2\", \"bbox\": [2, 45, 8, 55]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 46, 100, 55]}, {\"cell\": \"Erechim; (RS); Brazil\", \"bbox\": [114, 45, 186, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 45, 318, 55]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 45, 458, 55]}, {\"cell\": \"3\", \"bbox\": [2, 59, 8, 68]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 59, 100, 68]}, {\"cell\": \"São José do Rio Preto; (SP); Brazil\", \"bbox\": [114, 59, 228, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 59, 318, 68]}, {\"cell\": \"PAGE\", \"bbox\": [409, 59, 432, 68]}, {\"cell\": \"4\", \"bbox\": [2, 73, 8, 82]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 73, 100, 82]}, {\"cell\": \"São José do Rio Preto; (SP); Brazil\", \"bbox\": [114, 73, 228, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 73, 318, 82]}, {\"cell\": \"PAGE\", \"bbox\": [409, 73, 432, 82]}, {\"cell\": \"5\", \"bbox\": [2, 86, 8, 95]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 86, 100, 95]}, {\"cell\": \"São José do Rio Preto; (SP); Brazil\", \"bbox\": [114, 86, 228, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 86, 318, 95]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 86, 458, 95]}, {\"cell\": \"6\", \"bbox\": [2, 100, 8, 109]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 100, 100, 109]}, {\"cell\": \"Santa Maria; (RS); Brazil\", \"bbox\": [114, 100, 198, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 100, 318, 109]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 100, 440, 109]}, {\"cell\": \"7\", \"bbox\": [2, 113, 8, 123]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 114, 100, 123]}, {\"cell\": \"Porto Alegre; (RS); Brazil\", \"bbox\": [114, 113, 200, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 113, 318, 123]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 113, 458, 123]}, {\"cell\": \"8\", \"bbox\": [2, 127, 8, 136]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 127, 100, 136]}, {\"cell\": \"Rio Grande; (RS); Brazil\", \"bbox\": [114, 127, 196, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 127, 318, 136]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 127, 458, 136]}, {\"cell\": \"9\", \"bbox\": [2, 140, 8, 150]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 141, 100, 150]}, {\"cell\": \"Tangará da Serra; (MT); Brazil\", \"bbox\": [114, 140, 216, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 140, 318, 150]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 140, 458, 150]}, {\"cell\": \"10\", \"bbox\": [2, 154, 12, 163]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 154, 100, 163]}, {\"cell\": \"Jari; (RS); Brazil\", \"bbox\": [114, 154, 171, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 154, 318, 163]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 154, 458, 163]}, {\"cell\": \"11\", \"bbox\": [2, 168, 12, 177]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 168, 100, 177]}, {\"cell\": \"Serra da Capivara; (PI); Brazil\", \"bbox\": [114, 168, 214, 177]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 168, 318, 177]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 168, 440, 177]}, {\"cell\": \"12\", \"bbox\": [2, 181, 12, 191]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 182, 100, 191]}, {\"cell\": \"Manaus; (AM); Brazil\", \"bbox\": [114, 181, 188, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 181, 318, 191]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 181, 458, 191]}, {\"cell\": \"13\", \"bbox\": [2, 195, 12, 204]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 195, 100, 204]}, {\"cell\": \"Fernando de Noronha; (PE); Brazil\", \"bbox\": [114, 195, 228, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 195, 318, 204]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 195, 440, 204]}, {\"cell\": \"14\", \"bbox\": [2, 208, 12, 218]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 209, 100, 218]}, {\"cell\": \"Fernando de Noronha; (PE); Brazil\", \"bbox\": [114, 208, 228, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 208, 318, 218]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 208, 440, 218]}, {\"cell\": \"15\", \"bbox\": [2, 222, 12, 231]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 222, 100, 231]}, {\"cell\": \"Recife; (PE); Brazil\", \"bbox\": [114, 222, 180, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 222, 318, 231]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 222, 440, 231]}, {\"cell\": \"16\", \"bbox\": [2, 236, 12, 245]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 236, 100, 245]}, {\"cell\": \"Ilha Governador; (RJ); Brazil\", \"bbox\": [114, 236, 210, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 236, 318, 245]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 236, 440, 245]}, {\"cell\": \"17\", \"bbox\": [2, 249, 12, 259]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 249, 100, 259]}, {\"cell\": \"Santa Teresa; (RJ); Brazil\", \"bbox\": [114, 249, 199, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 249, 318, 259]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 249, 440, 259]}, {\"cell\": \"18\", \"bbox\": [2, 263, 12, 272]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 263, 100, 272]}, {\"cell\": \"Venezuela\", \"bbox\": [114, 263, 150, 272]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 263, 318, 272]}, {\"cell\": \"Sequencing\", \"bbox\": [401, 263, 440, 272]}, {\"cell\": \"19\", \"bbox\": [2, 276, 12, 286]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 277, 100, 286]}, {\"cell\": \"Vienna; Austria\", \"bbox\": [114, 276, 167, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 276, 318, 286]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 276, 458, 286]}, {\"cell\": \"20\", \"bbox\": [2, 290, 12, 299]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 290, 100, 299]}, {\"cell\": \"Athens; (Attica); Greece\", \"bbox\": [114, 290, 195, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 290, 318, 299]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 290, 458, 299]}, {\"cell\": \"21\", \"bbox\": [2, 304, 12, 313]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 304, 100, 313]}, {\"cell\": \"Prunay; (Marne); France\", \"bbox\": [114, 304, 195, 313]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 304, 318, 313]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 304, 458, 313]}, {\"cell\": \"22\", \"bbox\": [2, 317, 12, 327]}, {\"cell\": \"<i>D. melanogaster</i>\", \"bbox\": [44, 317, 100, 327]}, {\"cell\": \"La Broche; (Upper Normandy); France\", \"bbox\": [114, 317, 241, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 317, 318, 327]}, {\"cell\": \"Sequencing and PAGE\", \"bbox\": [383, 317, 458, 327]}, {\"cell\": \"23\", \"bbox\": [2, 331, 12, 340]}, {\"cell\": \"<i>D. simulans</i>\", \"bbox\": [44, 331, 85, 340]}, {\"cell\": \"Eldorado do Sul; (RS); Brazil\", \"bbox\": [114, 331, 211, 340]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 331, 318, 340]}, {\"cell\": \"PAGE\", \"bbox\": [409, 331, 432, 340]}, {\"cell\": \"24\", \"bbox\": [2, 344, 12, 354]}, {\"cell\": \"<i>D. simulans</i>\", \"bbox\": [44, 345, 85, 354]}, {\"cell\": \"Farrapos; (Río Negro); Uruguay\", \"bbox\": [114, 344, 219, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 344, 318, 354]}, {\"cell\": \"PAGE\", \"bbox\": [409, 344, 432, 354]}, {\"cell\": \"25\", \"bbox\": [2, 358, 12, 367]}, {\"cell\": \"<i>D. simulans</i>\", \"bbox\": [44, 358, 85, 367]}, {\"cell\": \"Fernando de Noronha; (PE); Brazil\", \"bbox\": [114, 358, 228, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 358, 318, 367]}, {\"cell\": \"PAGE\", \"bbox\": [409, 358, 432, 367]}, {\"cell\": \"26\", \"bbox\": [2, 372, 12, 381]}, {\"cell\": \"<i>D. simulans</i>\", \"bbox\": [44, 372, 85, 381]}, {\"cell\": \"Santa Maria; (RS); Brazil\", \"bbox\": [114, 372, 198, 381]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 372, 318, 381]}, {\"cell\": \"PAGE\", \"bbox\": [409, 372, 432, 381]}, {\"cell\": \"27\", \"bbox\": [2, 385, 12, 394]}, {\"cell\": \"<i>D. simulans</i>\", \"bbox\": [44, 385, 85, 394]}, {\"cell\": \"Lima; (Lima); Peru\", \"bbox\": [114, 385, 178, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 385, 318, 394]}, {\"cell\": \"PAGE\", \"bbox\": [409, 385, 432, 394]}, {\"cell\": \"28\", \"bbox\": [2, 399, 12, 408]}, {\"cell\": \"<i>D. simulans</i>\", \"bbox\": [44, 399, 85, 408]}, {\"cell\": \"Havaí; (HI); United States\", \"bbox\": [114, 399, 200, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 399, 318, 408]}, {\"cell\": \"PAGE\", \"bbox\": [409, 399, 432, 408]}, {\"cell\": \"29\", \"bbox\": [2, 412, 12, 422]}, {\"cell\": \"<i>D. simulans</i>\", \"bbox\": [44, 413, 85, 422]}, {\"cell\": \"Rio de Janeiro; (RJ); Brazil\", \"bbox\": [114, 412, 204, 422]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [312, 412, 318, 422]}, {\"cell\": \"PAGE\", \"bbox\": [409, 412, 432, 422]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4807377_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}939{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\" colspan=\\\"2\\\"><b>Variable</b></td><td colspan=\\\"3\\\"><b>The BDI</b></td><td rowspan=\\\"3\\\"><b>Chi^2/<i>p</i></b></td></tr><tr><td><b>No Depressive Symptoms</b></td><td><b>Depressive Symptoms</b></td><td><b>Total</b></td></tr><tr><td><b><i>n</i> (%) 608 (74.6)</b></td><td><b><i>n</i> (%) 207 (25.4)</b></td><td><b><i>n</i> (%) 815 (100)</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\"><b>Genotype</b></td></tr><tr><td rowspan=\\\"3\\\"><b>5-HTT gene</b></td><td>[EMPTY_CELL]</td><td>250 (41.1)</td><td>96 (46.4)</td><td>346 (42.5)</td><td rowspan=\\\"3\\\">1.760/0.415</td></tr><tr><td>l/s</td><td>[EMPTY_CELL]</td><td>80 (38.6)</td><td>340 (41.7)</td></tr><tr><td>s/s</td><td>[EMPTY_CELL]</td><td>31 (15.0)</td><td>129 (15.8)</td></tr><tr><td rowspan=\\\"3\\\"><b>MAO-A gene</b></td><td>[EMPTY_CELL]</td><td>77 (12.7)</td><td>21 (10.1)</td><td>98 (12.0)</td><td rowspan=\\\"3\\\">1.394/0.498</td></tr><tr><td>3/4</td><td>[EMPTY_CELL]</td><td>101 (48.8)</td><td>374 (45.9)</td></tr><tr><td>4/4</td><td>[EMPTY_CELL]</td><td>85 (41.1)</td><td>343 (42.1)</td></tr><tr><td colspan=\\\"6\\\"><b>Allele</b></td></tr><tr><td rowspan=\\\"2\\\"><b>5-HTT gene</b></td><td>[EMPTY_CELL]</td><td>760 (46.6)</td><td>272 (16.7)</td><td>1032 (63.3)</td><td rowspan=\\\"2\\\">1.362/0.243</td></tr><tr><td>s</td><td>[EMPTY_CELL]</td><td>142 (8.7)</td><td>598 (36.7)</td></tr><tr><td rowspan=\\\"2\\\"><b>MAO-A gene</b></td><td>[EMPTY_CELL]</td><td>427 (26.2)</td><td>143 (8.8)</td><td>570 (35.0)</td><td rowspan=\\\"2\\\">0.045/0.833</td></tr><tr><td>4</td><td>[EMPTY_CELL]</td><td>271 (16.6)</td><td>1060 (65.0)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [47, 26, 81, 36]}, {\"cell\": \"<b>The BDI</b>\", \"bbox\": [233, 5, 268, 15]}, {\"cell\": \"<b>Chi^2/<i>p</i></b>\", \"bbox\": [391, 25, 421, 35]}, {\"cell\": \"<b>No Depressive Symptoms</b>\", \"bbox\": [135, 19, 194, 40]}, {\"cell\": \"<b>Depressive Symptoms</b>\", \"bbox\": [210, 25, 298, 35]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [330, 25, 351, 35]}, {\"cell\": \"<b><i>n</i> (%) 608 (74.6)</b>\", \"bbox\": [135, 45, 194, 55]}, {\"cell\": \"<b><i>n</i> (%) 207 (25.4)</b>\", \"bbox\": [225, 45, 284, 55]}, {\"cell\": \"<b><i>n</i> (%) 815 (100)</b>\", \"bbox\": [312, 45, 369, 55]}, {\"cell\": \"<b>Genotype</b>\", \"bbox\": [200, 59, 239, 70]}, {\"cell\": \"<b>5-HTT gene</b>\", \"bbox\": [12, 84, 60, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [93, 74, 105, 85]}, {\"cell\": \"250 (41.1)\", \"bbox\": [146, 74, 183, 85]}, {\"cell\": \"96 (46.4)\", \"bbox\": [238, 74, 271, 85]}, {\"cell\": \"346 (42.5)\", \"bbox\": [322, 74, 359, 85]}, {\"cell\": \"1.760/0.415\", \"bbox\": [383, 85, 429, 96]}, {\"cell\": \"l/s\", \"bbox\": [92, 85, 105, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 85, 183, 95]}, {\"cell\": \"80 (38.6)\", \"bbox\": [238, 85, 271, 95]}, {\"cell\": \"340 (41.7)\", \"bbox\": [322, 85, 359, 95]}, {\"cell\": \"s/s\", \"bbox\": [92, 95, 106, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [148, 95, 181, 105]}, {\"cell\": \"31 (15.0)\", \"bbox\": [238, 95, 271, 105]}, {\"cell\": \"129 (15.8)\", \"bbox\": [322, 95, 359, 105]}, {\"cell\": \"<b>MAO-A gene</b>\", \"bbox\": [9, 120, 63, 130]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 110, 106, 120]}, {\"cell\": \"77 (12.7)\", \"bbox\": [148, 110, 181, 120]}, {\"cell\": \"21 (10.1)\", \"bbox\": [238, 110, 271, 120]}, {\"cell\": \"98 (12.0)\", \"bbox\": [324, 110, 357, 120]}, {\"cell\": \"1.394/0.498\", \"bbox\": [383, 121, 429, 131]}, {\"cell\": \"3/4\", \"bbox\": [91, 120, 106, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 120, 183, 131]}, {\"cell\": \"101 (48.8)\", \"bbox\": [236, 120, 273, 131]}, {\"cell\": \"374 (45.9)\", \"bbox\": [322, 120, 359, 131]}, {\"cell\": \"4/4\", \"bbox\": [91, 131, 106, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 131, 183, 141]}, {\"cell\": \"85 (41.1)\", \"bbox\": [238, 131, 271, 141]}, {\"cell\": \"343 (42.1)\", \"bbox\": [322, 131, 359, 141]}, {\"cell\": \"<b>Allele</b>\", \"bbox\": [207, 145, 232, 156]}, {\"cell\": \"<b>5-HTT gene</b>\", \"bbox\": [12, 165, 60, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 160, 101, 171]}, {\"cell\": \"760 (46.6)\", \"bbox\": [146, 160, 183, 171]}, {\"cell\": \"272 (16.7)\", \"bbox\": [236, 160, 273, 171]}, {\"cell\": \"1032 (63.3)\", \"bbox\": [320, 160, 361, 171]}, {\"cell\": \"1.362/0.243\", \"bbox\": [383, 166, 429, 176]}, {\"cell\": \"s\", \"bbox\": [96, 171, 101, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 171, 183, 181]}, {\"cell\": \"142 (8.7)\", \"bbox\": [238, 171, 271, 181]}, {\"cell\": \"598 (36.7)\", \"bbox\": [322, 171, 359, 181]}, {\"cell\": \"<b>MAO-A gene</b>\", \"bbox\": [9, 190, 63, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [96, 185, 102, 196]}, {\"cell\": \"427 (26.2)\", \"bbox\": [146, 185, 183, 196]}, {\"cell\": \"143 (8.8)\", \"bbox\": [238, 185, 271, 196]}, {\"cell\": \"570 (35.0)\", \"bbox\": [322, 185, 359, 196]}, {\"cell\": \"0.045/0.833\", \"bbox\": [384, 191, 429, 202]}, {\"cell\": \"4\", \"bbox\": [96, 196, 102, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [146, 196, 183, 206]}, {\"cell\": \"271 (16.6)\", \"bbox\": [236, 196, 273, 206]}, {\"cell\": \"1060 (65.0)\", \"bbox\": [320, 196, 361, 206]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5923754_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}940{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\" colspan=\\\"2\\\"><b>Class</b></td><td colspan=\\\"4\\\"><b>Pattern I</b></td><td colspan=\\\"4\\\"><b>Pattern II</b></td><td colspan=\\\"4\\\"><b>Pattern III</b></td><td colspan=\\\"4\\\"><b>Pattern IV</b></td><td colspan=\\\"4\\\"><b>Pattern V</b></td><td colspan=\\\"4\\\"><b>Pattern VI</b></td></tr><tr><td colspan=\\\"2\\\"><b>G1</b></td><td colspan=\\\"2\\\"><b>G2</b></td><td colspan=\\\"2\\\"><b>G3</b></td><td colspan=\\\"2\\\"><b>G4</b></td><td colspan=\\\"2\\\"><b>G5</b></td><td colspan=\\\"2\\\"><b>G6</b></td><td colspan=\\\"2\\\"><b>G7</b></td><td colspan=\\\"2\\\"><b>G8</b></td><td colspan=\\\"2\\\"><b>G9</b></td><td colspan=\\\"2\\\"><b>G10</b></td><td colspan=\\\"2\\\"><b>G11</b></td><td colspan=\\\"2\\\"><b>G12</b></td></tr></thead><tbody><tr><td colspan=\\\"2\\\">+</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">50</td></tr><tr><td colspan=\\\"2\\\">+</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">100</td></tr><tr><td colspan=\\\"2\\\">+</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">50</td></tr><tr><td colspan=\\\"2\\\">+</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">100</td></tr><tr><td colspan=\\\"2\\\">-</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td></tr><tr><td colspan=\\\"2\\\">-</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td></tr><tr><td colspan=\\\"2\\\">-</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td></tr><tr><td colspan=\\\"2\\\">-</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">50</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">10</td><td colspan=\\\"2\\\">5</td><td colspan=\\\"2\\\">100</td><td colspan=\\\"2\\\">50</td></tr><tr><td colspan=\\\"2\\\">Background difference between gene pairs</td><td colspan=\\\"4\\\">Not exist</td><td colspan=\\\"4\\\">Exist</td><td colspan=\\\"4\\\">Not exist</td><td colspan=\\\"4\\\">Exist</td><td colspan=\\\"4\\\">Not exist</td><td colspan=\\\"4\\\">Not exist</td></tr><tr><td colspan=\\\"2\\\">Background difference among samples</td><td colspan=\\\"4\\\">Not exist</td><td colspan=\\\"4\\\">Not exist</td><td colspan=\\\"4\\\">Not exist</td><td colspan=\\\"4\\\">Not exist</td><td colspan=\\\"4\\\">Exist</td><td colspan=\\\"4\\\">Not exist</td></tr><tr><td rowspan=\\\"3\\\">Vertical comparisonof individual-gene</td><td>[EMPTY_CELL]</td><td>G1 < 75</td><td>G1 > 75</td><td>G2 < 75</td><td>G2 > 75</td><td>G3 < 7</td><td>G3 > 7</td><td>G4 < 75</td><td>G4 > 75</td><td>G5 < 75</td><td>G5 > 75</td><td>G6 < 75</td><td>G6 > 75</td><td>G7 < 7</td><td>G7 > 7</td><td>[EMPTY_CELL]</td><td>G8 > 75</td><td>G9 < 41</td><td>G9 > 41</td><td>G10 < 41</td><td>G10 > 41</td><td>G11 < 75</td><td>G11 > 75</td><td>G12 < 75</td><td>G12 > 75</td></tr><tr><td>+</td><td>4</td><td>0</td><td>0</td><td>4</td><td>4</td><td>0</td><td>0</td><td>04</td><td>4</td><td>0</td><td>4</td><td>0</td><td>4</td><td>0</td><td>4</td><td>[EMPTY_CELL]</td><td>2</td><td>2</td><td>2</td><td>2</td><td>2</td><td>2</td><td>2</td><td>2</td></tr><tr><td>-</td><td>0</td><td>4</td><td>4</td><td>0</td><td>0</td><td>4</td><td>4</td><td>0</td><td>0</td><td>4</td><td>0</td><td>4</td><td>0</td><td>4</td><td>0</td><td>[EMPTY_CELL]</td><td>2</td><td>2</td><td>2</td><td>2</td><td>2</td><td>2</td><td>2</td><td>2</td></tr><tr><td colspan=\\\"2\\\">Highlight</td><td colspan=\\\"2\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"2\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"2\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"2\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"2\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"2\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"2\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"2\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"2\\\">No (<i>χ</i><sup>2</sup> = 0.5)</td><td colspan=\\\"2\\\">No (<i>χ</i><sup>2</sup> = 0.5)</td><td colspan=\\\"2\\\">No (<i>χ</i><sup>2</sup> = 0.5)</td><td colspan=\\\"2\\\">No (<i>χ</i><sup>2</sup> = 0.5)</td></tr><tr><td rowspan=\\\"3\\\">Horizontal comparison of pair-wise genes</td><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\">G1 > G2</td><td colspan=\\\"2\\\">G1 < G2</td><td colspan=\\\"2\\\">G3 > G4</td><td colspan=\\\"2\\\">G3 < G4</td><td colspan=\\\"2\\\">G5 > G6</td><td colspan=\\\"2\\\">G5 < G6</td><td colspan=\\\"2\\\">G7 > G8</td><td colspan=\\\"2\\\">G7 < G8</td><td colspan=\\\"2\\\">G9 > G10</td><td colspan=\\\"2\\\">G9 < G10</td><td colspan=\\\"2\\\">G11 > G12</td><td colspan=\\\"2\\\">G11 < G12</td></tr><tr><td>+</td><td colspan=\\\"2\\\">0</td><td colspan=\\\"2\\\">4</td><td colspan=\\\"2\\\">0</td><td colspan=\\\"2\\\">4</td><td colspan=\\\"2\\\">2</td><td colspan=\\\"2\\\">2</td><td colspan=\\\"2\\\">0</td><td colspan=\\\"2\\\">4</td><td colspan=\\\"2\\\">0</td><td colspan=\\\"2\\\">4</td><td colspan=\\\"2\\\">2</td><td colspan=\\\"2\\\">2</td></tr><tr><td>-</td><td colspan=\\\"2\\\">4</td><td colspan=\\\"2\\\">0</td><td colspan=\\\"2\\\">0</td><td colspan=\\\"2\\\">4</td><td colspan=\\\"2\\\">2</td><td colspan=\\\"2\\\">2</td><td colspan=\\\"2\\\">0</td><td colspan=\\\"2\\\">4</td><td colspan=\\\"2\\\">4</td><td colspan=\\\"2\\\">0</td><td colspan=\\\"2\\\">2</td><td colspan=\\\"2\\\">2</td></tr><tr><td colspan=\\\"2\\\">Highlight</td><td colspan=\\\"4\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"4\\\">No (<i>χ</i><sup>2</sup> = 0)</td><td colspan=\\\"4\\\">No (<i>χ</i><sup>2</sup> = 0.5)</td><td colspan=\\\"4\\\">No (<i>χ</i><sup>2</sup> = 0)</td><td colspan=\\\"4\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"4\\\">No (<i>χ</i><sup>2</sup> = 0.5)</td></tr><tr><td rowspan=\\\"3\\\">Vertical comparison of pair-wise genes</td><td>[EMPTY_CELL]</td><td>G1 < 75 & G2 < 75</td><td>G1 < 75 &G2 > 75</td><td>G1 > 75 & G2 < 75</td><td>G1 > 75 &G2 > 75</td><td>G3 < 7 & G4 < 75</td><td>G3 < 7 & G4 > 75</td><td>G3 > 7 & G4 < 75</td><td>G3 > 7 & G4 > 75</td><td>G5 < 75 & G6 < 75</td><td>G5 < 75 & G6 > 75</td><td>G5 > 75 & G6 < 75</td><td>G5 > 75 & G6 > 75</td><td>G7 < 7 & G8 < 75</td><td>G7 < 7 & G8 > 75</td><td>[EMPTY_CELL]</td><td>G7 > 7 & G8 > 75</td><td>G9 < 41 & G10 < 41</td><td>G9 < 41 & G10 > 41</td><td>G9 > 41 & G10 < 41</td><td>G9 > 41 & G10 > 41</td><td>G11 < 75 & G12 < 75</td><td>G11 < 75 & G12 > 75</td><td>G11 > 75 & G12 < 75</td><td>G11 > 75 & G12 > 75</td></tr><tr><td>+</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0</td><td>4</td><td>0</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4</td><td>0</td><td>[EMPTY_CELL]</td><td>2</td><td>0</td><td>0</td><td>2</td><td>2</td><td>0</td><td>0</td><td>2</td></tr><tr><td>-</td><td>0</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4</td><td>0</td><td>0</td><td>0</td><td>[EMPTY_CELL]</td><td>2</td><td>0</td><td>0</td><td>2</td><td>0</td><td>2</td><td>2</td><td>0</td></tr><tr><td colspan=\\\"2\\\">Highlight</td><td colspan=\\\"4\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"4\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"4\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"4\\\">Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)</td><td colspan=\\\"4\\\">No (<i>χ</i><sup>2</sup> = 0.5)</td><td colspan=\\\"4\\\">Yes ((<i>χ</i><sup>2</sup> = 8<sup>*</sup>)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Class</b>\", \"bbox\": [1, 4, 18, 13]}, {\"cell\": \"<b>Pattern I</b>\", \"bbox\": [90, 4, 118, 13]}, {\"cell\": \"<b>Pattern II</b>\", \"bbox\": [187, 4, 217, 13]}, {\"cell\": \"<b>Pattern III</b>\", \"bbox\": [274, 4, 306, 13]}, {\"cell\": \"<b>Pattern IV</b>\", \"bbox\": [363, 4, 396, 13]}, {\"cell\": \"<b>Pattern V</b>\", \"bbox\": [450, 4, 481, 13]}, {\"cell\": \"<b>Pattern VI</b>\", \"bbox\": [547, 4, 580, 13]}, {\"cell\": \"<b>G1</b>\", \"bbox\": [90, 17, 100, 27]}, {\"cell\": \"<b>G2</b>\", \"bbox\": [137, 17, 148, 27]}, {\"cell\": \"<b>G3</b>\", \"bbox\": [187, 17, 198, 27]}, {\"cell\": \"<b>G4</b>\", \"bbox\": [229, 17, 240, 27]}, {\"cell\": \"<b>G5</b>\", \"bbox\": [274, 17, 285, 27]}, {\"cell\": \"<b>G6</b>\", \"bbox\": [318, 17, 328, 27]}, {\"cell\": \"<b>G7</b>\", \"bbox\": [363, 17, 374, 27]}, {\"cell\": \"<b>G8</b>\", \"bbox\": [405, 17, 416, 27]}, {\"cell\": \"<b>G9</b>\", \"bbox\": [450, 17, 461, 27]}, {\"cell\": \"<b>G10</b>\", \"bbox\": [498, 17, 513, 27]}, {\"cell\": \"<b>G11</b>\", \"bbox\": [547, 17, 562, 27]}, {\"cell\": \"<b>G12</b>\", \"bbox\": [596, 17, 611, 27]}, {\"cell\": \"+\", \"bbox\": [1, 30, 7, 40]}, {\"cell\": \"50\", \"bbox\": [90, 30, 99, 40]}, {\"cell\": \"100\", \"bbox\": [137, 30, 151, 40]}, {\"cell\": \"5\", \"bbox\": [187, 30, 193, 40]}, {\"cell\": \"100\", \"bbox\": [229, 30, 243, 40]}, {\"cell\": \"50\", \"bbox\": [274, 30, 284, 40]}, {\"cell\": \"50\", \"bbox\": [318, 30, 327, 40]}, {\"cell\": \"5\", \"bbox\": [363, 30, 369, 40]}, {\"cell\": \"50\", \"bbox\": [405, 30, 415, 40]}, {\"cell\": \"50\", \"bbox\": [450, 30, 460, 40]}, {\"cell\": \"100\", \"bbox\": [498, 30, 512, 40]}, {\"cell\": \"50\", \"bbox\": [547, 30, 557, 40]}, {\"cell\": \"50\", \"bbox\": [596, 30, 606, 40]}, {\"cell\": \"+\", \"bbox\": [1, 44, 7, 54]}, {\"cell\": \"50\", \"bbox\": [90, 44, 99, 54]}, {\"cell\": \"100\", \"bbox\": [137, 44, 151, 54]}, {\"cell\": \"5\", \"bbox\": [187, 44, 193, 54]}, {\"cell\": \"100\", \"bbox\": [229, 44, 243, 54]}, {\"cell\": \"50\", \"bbox\": [274, 44, 284, 54]}, {\"cell\": \"50\", \"bbox\": [318, 44, 327, 54]}, {\"cell\": \"5\", \"bbox\": [363, 44, 369, 54]}, {\"cell\": \"50\", \"bbox\": [405, 44, 415, 54]}, {\"cell\": \"5\", \"bbox\": [450, 44, 456, 54]}, {\"cell\": \"10\", \"bbox\": [498, 44, 508, 54]}, {\"cell\": \"100\", \"bbox\": [547, 44, 561, 54]}, {\"cell\": \"100\", \"bbox\": [596, 44, 610, 54]}, {\"cell\": \"+\", \"bbox\": [1, 58, 7, 68]}, {\"cell\": \"50\", \"bbox\": [90, 58, 99, 68]}, {\"cell\": \"100\", \"bbox\": [137, 58, 151, 68]}, {\"cell\": \"5\", \"bbox\": [187, 58, 193, 68]}, {\"cell\": \"100\", \"bbox\": [229, 58, 243, 68]}, {\"cell\": \"50\", \"bbox\": [274, 58, 284, 68]}, {\"cell\": \"50\", \"bbox\": [318, 58, 327, 68]}, {\"cell\": \"5\", \"bbox\": [363, 58, 369, 68]}, {\"cell\": \"50\", \"bbox\": [405, 58, 415, 68]}, {\"cell\": \"50\", \"bbox\": [450, 58, 460, 68]}, {\"cell\": \"100\", \"bbox\": [498, 58, 512, 68]}, {\"cell\": \"50\", \"bbox\": [547, 58, 557, 68]}, {\"cell\": \"50\", \"bbox\": [596, 58, 606, 68]}, {\"cell\": \"+\", \"bbox\": [1, 72, 7, 82]}, {\"cell\": \"50\", \"bbox\": [90, 72, 99, 82]}, {\"cell\": \"100\", \"bbox\": [137, 72, 151, 82]}, {\"cell\": \"5\", \"bbox\": [187, 72, 193, 82]}, {\"cell\": \"100\", \"bbox\": [229, 72, 243, 82]}, {\"cell\": \"50\", \"bbox\": [274, 72, 284, 82]}, {\"cell\": \"50\", \"bbox\": [318, 72, 327, 82]}, {\"cell\": \"5\", \"bbox\": [363, 72, 369, 82]}, {\"cell\": \"50\", \"bbox\": [405, 72, 415, 82]}, {\"cell\": \"5\", \"bbox\": [450, 72, 456, 82]}, {\"cell\": \"10\", \"bbox\": [498, 72, 508, 82]}, {\"cell\": \"100\", \"bbox\": [547, 72, 561, 82]}, {\"cell\": \"100\", \"bbox\": [596, 72, 610, 82]}, {\"cell\": \"-\", \"bbox\": [1, 86, 5, 96]}, {\"cell\": \"100\", \"bbox\": [90, 86, 103, 96]}, {\"cell\": \"50\", \"bbox\": [137, 86, 147, 96]}, {\"cell\": \"10\", \"bbox\": [187, 86, 197, 96]}, {\"cell\": \"50\", \"bbox\": [229, 86, 239, 96]}, {\"cell\": \"100\", \"bbox\": [274, 86, 288, 96]}, {\"cell\": \"100\", \"bbox\": [318, 86, 331, 96]}, {\"cell\": \"10\", \"bbox\": [363, 86, 372, 96]}, {\"cell\": \"100\", \"bbox\": [405, 86, 419, 96]}, {\"cell\": \"100\", \"bbox\": [450, 86, 464, 96]}, {\"cell\": \"50\", \"bbox\": [498, 86, 508, 96]}, {\"cell\": \"50\", \"bbox\": [547, 86, 557, 96]}, {\"cell\": \"100\", \"bbox\": [596, 86, 610, 96]}, {\"cell\": \"-\", \"bbox\": [1, 100, 5, 110]}, {\"cell\": \"100\", \"bbox\": [90, 100, 103, 110]}, {\"cell\": \"50\", \"bbox\": [137, 100, 147, 110]}, {\"cell\": \"10\", \"bbox\": [187, 100, 197, 110]}, {\"cell\": \"50\", \"bbox\": [229, 100, 239, 110]}, {\"cell\": \"100\", \"bbox\": [274, 100, 288, 110]}, {\"cell\": \"100\", \"bbox\": [318, 100, 331, 110]}, {\"cell\": \"10\", \"bbox\": [363, 100, 372, 110]}, {\"cell\": \"100\", \"bbox\": [405, 100, 419, 110]}, {\"cell\": \"10\", \"bbox\": [450, 100, 460, 110]}, {\"cell\": \"5\", \"bbox\": [498, 100, 504, 110]}, {\"cell\": \"100\", \"bbox\": [547, 100, 561, 110]}, {\"cell\": \"50\", \"bbox\": [596, 100, 606, 110]}, {\"cell\": \"-\", \"bbox\": [1, 114, 5, 124]}, {\"cell\": \"100\", \"bbox\": [90, 114, 103, 124]}, {\"cell\": \"50\", \"bbox\": [137, 114, 147, 124]}, {\"cell\": \"10\", \"bbox\": [187, 114, 197, 124]}, {\"cell\": \"50\", \"bbox\": [229, 114, 239, 124]}, {\"cell\": \"100\", \"bbox\": [274, 114, 288, 124]}, {\"cell\": \"100\", \"bbox\": [318, 114, 331, 124]}, {\"cell\": \"10\", \"bbox\": [363, 114, 372, 124]}, {\"cell\": \"100\", \"bbox\": [405, 114, 419, 124]}, {\"cell\": \"100\", \"bbox\": [450, 114, 464, 124]}, {\"cell\": \"50\", \"bbox\": [498, 114, 508, 124]}, {\"cell\": \"50\", \"bbox\": [547, 114, 557, 124]}, {\"cell\": \"100\", \"bbox\": [596, 114, 610, 124]}, {\"cell\": \"-\", \"bbox\": [1, 128, 5, 138]}, {\"cell\": \"100\", \"bbox\": [90, 128, 103, 138]}, {\"cell\": \"50\", \"bbox\": [137, 128, 147, 138]}, {\"cell\": \"10\", \"bbox\": [187, 128, 197, 138]}, {\"cell\": \"50\", \"bbox\": [229, 128, 239, 138]}, {\"cell\": \"100\", \"bbox\": [274, 128, 288, 138]}, {\"cell\": \"100\", \"bbox\": [318, 128, 331, 138]}, {\"cell\": \"10\", \"bbox\": [363, 128, 372, 138]}, {\"cell\": \"100\", \"bbox\": [405, 128, 419, 138]}, {\"cell\": \"10\", \"bbox\": [450, 128, 460, 138]}, {\"cell\": \"5\", \"bbox\": [498, 128, 504, 138]}, {\"cell\": \"100\", \"bbox\": [547, 128, 561, 138]}, {\"cell\": \"50\", \"bbox\": [596, 128, 606, 138]}, {\"cell\": \"Background difference between gene pairs\", \"bbox\": [1, 142, 75, 161]}, {\"cell\": \"Not exist\", \"bbox\": [90, 142, 120, 152]}, {\"cell\": \"Exist\", \"bbox\": [187, 142, 203, 152]}, {\"cell\": \"Not exist\", \"bbox\": [274, 142, 305, 152]}, {\"cell\": \"Exist\", \"bbox\": [363, 142, 379, 152]}, {\"cell\": \"Not exist\", \"bbox\": [450, 142, 481, 152]}, {\"cell\": \"Not exist\", \"bbox\": [547, 142, 578, 152]}, {\"cell\": \"Background difference among samples\", \"bbox\": [1, 165, 75, 184]}, {\"cell\": \"Not exist\", \"bbox\": [90, 165, 120, 175]}, {\"cell\": \"Not exist\", \"bbox\": [187, 165, 217, 175]}, {\"cell\": \"Not exist\", \"bbox\": [274, 165, 305, 175]}, {\"cell\": \"Not exist\", \"bbox\": [363, 165, 393, 175]}, {\"cell\": \"Exist\", \"bbox\": [450, 165, 466, 175]}, {\"cell\": \"Not exist\", \"bbox\": [547, 165, 578, 175]}, {\"cell\": \"Vertical comparisonof individual-gene\", \"bbox\": [1, 188, 72, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G1 < 75\", \"bbox\": [90, 188, 106, 207]}, {\"cell\": \"G1 > 75\", \"bbox\": [110, 188, 127, 207]}, {\"cell\": \"G2 < 75\", \"bbox\": [137, 188, 154, 207]}, {\"cell\": \"G2 > 75\", \"bbox\": [160, 188, 177, 207]}, {\"cell\": \"G3 < 7\", \"bbox\": [187, 188, 199, 207]}, {\"cell\": \"G3 > 7\", \"bbox\": [207, 188, 224, 207]}, {\"cell\": \"G4 < 75\", \"bbox\": [229, 188, 246, 207]}, {\"cell\": \"G4 > 75\", \"bbox\": [252, 188, 269, 207]}, {\"cell\": \"G5 < 75\", \"bbox\": [274, 188, 290, 207]}, {\"cell\": \"G5 > 75\", \"bbox\": [295, 188, 312, 207]}, {\"cell\": \"G6 < 75\", \"bbox\": [318, 188, 335, 207]}, {\"cell\": \"G6 > 75\", \"bbox\": [340, 188, 357, 207]}, {\"cell\": \"G7 < 7\", \"bbox\": [363, 188, 375, 207]}, {\"cell\": \"G7 > 7\", \"bbox\": [383, 188, 400, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 188, 422, 207]}, {\"cell\": \"G8 > 75\", \"bbox\": [428, 188, 445, 207]}, {\"cell\": \"G9 < 41\", \"bbox\": [450, 188, 466, 207]}, {\"cell\": \"G9 > 41\", \"bbox\": [472, 188, 489, 207]}, {\"cell\": \"G10 < 41\", \"bbox\": [498, 188, 514, 207]}, {\"cell\": \"G10 > 41\", \"bbox\": [521, 188, 542, 207]}, {\"cell\": \"G11 < 75\", \"bbox\": [547, 188, 563, 207]}, {\"cell\": \"G11 > 75\", \"bbox\": [570, 188, 591, 207]}, {\"cell\": \"G12 < 75\", \"bbox\": [596, 188, 617, 207]}, {\"cell\": \"G12 > 75\", \"bbox\": [623, 188, 644, 207]}, {\"cell\": \"+\", \"bbox\": [79, 211, 86, 221]}, {\"cell\": \"4\", \"bbox\": [90, 211, 95, 221]}, {\"cell\": \"0\", \"bbox\": [110, 211, 116, 221]}, {\"cell\": \"0\", \"bbox\": [137, 211, 143, 221]}, {\"cell\": \"4\", \"bbox\": [160, 211, 166, 221]}, {\"cell\": \"4\", \"bbox\": [187, 211, 193, 221]}, {\"cell\": \"0\", \"bbox\": [207, 211, 212, 221]}, {\"cell\": \"0\", \"bbox\": [229, 211, 235, 221]}, {\"cell\": \"04\", \"bbox\": [252, 211, 261, 221]}, {\"cell\": \"4\", \"bbox\": [274, 211, 280, 221]}, {\"cell\": \"0\", \"bbox\": [295, 211, 301, 221]}, {\"cell\": \"4\", \"bbox\": [318, 211, 323, 221]}, {\"cell\": \"0\", \"bbox\": [340, 211, 346, 221]}, {\"cell\": \"4\", \"bbox\": [363, 211, 369, 221]}, {\"cell\": \"0\", \"bbox\": [383, 211, 388, 221]}, {\"cell\": \"4\", \"bbox\": [405, 211, 411, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 211, 434, 221]}, {\"cell\": \"2\", \"bbox\": [450, 211, 456, 221]}, {\"cell\": \"2\", \"bbox\": [472, 211, 478, 221]}, {\"cell\": \"2\", \"bbox\": [498, 211, 504, 221]}, {\"cell\": \"2\", \"bbox\": [521, 211, 527, 221]}, {\"cell\": \"2\", \"bbox\": [547, 211, 553, 221]}, {\"cell\": \"2\", \"bbox\": [570, 211, 576, 221]}, {\"cell\": \"2\", \"bbox\": [596, 211, 602, 221]}, {\"cell\": \"2\", \"bbox\": [623, 211, 629, 221]}, {\"cell\": \"-\", \"bbox\": [79, 225, 83, 235]}, {\"cell\": \"0\", \"bbox\": [90, 225, 95, 235]}, {\"cell\": \"4\", \"bbox\": [110, 225, 116, 235]}, {\"cell\": \"4\", \"bbox\": [137, 225, 143, 235]}, {\"cell\": \"0\", \"bbox\": [160, 225, 166, 235]}, {\"cell\": \"0\", \"bbox\": [187, 225, 193, 235]}, {\"cell\": \"4\", \"bbox\": [207, 225, 212, 235]}, {\"cell\": \"4\", \"bbox\": [229, 225, 235, 235]}, {\"cell\": \"0\", \"bbox\": [252, 225, 258, 235]}, {\"cell\": \"0\", \"bbox\": [274, 225, 280, 235]}, {\"cell\": \"4\", \"bbox\": [295, 225, 301, 235]}, {\"cell\": \"0\", \"bbox\": [318, 225, 323, 235]}, {\"cell\": \"4\", \"bbox\": [340, 225, 346, 235]}, {\"cell\": \"0\", \"bbox\": [363, 225, 369, 235]}, {\"cell\": \"4\", \"bbox\": [383, 225, 388, 235]}, {\"cell\": \"0\", \"bbox\": [405, 225, 411, 235]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 225, 434, 235]}, {\"cell\": \"2\", \"bbox\": [450, 225, 456, 235]}, {\"cell\": \"2\", \"bbox\": [472, 225, 478, 235]}, {\"cell\": \"2\", \"bbox\": [498, 225, 504, 235]}, {\"cell\": \"2\", \"bbox\": [521, 225, 527, 235]}, {\"cell\": \"2\", \"bbox\": [547, 225, 553, 235]}, {\"cell\": \"2\", \"bbox\": [570, 225, 576, 235]}, {\"cell\": \"2\", \"bbox\": [596, 225, 602, 235]}, {\"cell\": \"2\", \"bbox\": [623, 225, 629, 235]}, {\"cell\": \"Highlight\", \"bbox\": [1, 239, 32, 249]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [90, 239, 121, 258]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [137, 239, 168, 258]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [187, 239, 218, 258]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [229, 239, 260, 258]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [274, 239, 306, 258]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [318, 239, 349, 258]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [363, 239, 394, 258]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [405, 239, 436, 258]}, {\"cell\": \"No (<i>χ</i><sup>2</sup> = 0.5)\", \"bbox\": [450, 239, 479, 258]}, {\"cell\": \"No (<i>χ</i><sup>2</sup> = 0.5)\", \"bbox\": [498, 239, 527, 258]}, {\"cell\": \"No (<i>χ</i><sup>2</sup> = 0.5)\", \"bbox\": [547, 239, 576, 258]}, {\"cell\": \"No (<i>χ</i><sup>2</sup> = 0.5)\", \"bbox\": [596, 239, 625, 258]}, {\"cell\": \"Horizontal comparison of pair-wise genes\", \"bbox\": [1, 262, 75, 281]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G1 > G2\", \"bbox\": [90, 262, 117, 272]}, {\"cell\": \"G1 < G2\", \"bbox\": [137, 262, 165, 272]}, {\"cell\": \"G3 > G4\", \"bbox\": [187, 262, 214, 272]}, {\"cell\": \"G3 < G4\", \"bbox\": [229, 262, 257, 272]}, {\"cell\": \"G5 > G6\", \"bbox\": [274, 262, 302, 272]}, {\"cell\": \"G5 < G6\", \"bbox\": [318, 262, 345, 272]}, {\"cell\": \"G7 > G8\", \"bbox\": [363, 262, 390, 272]}, {\"cell\": \"G7 < G8\", \"bbox\": [405, 262, 433, 272]}, {\"cell\": \"G9 > G10\", \"bbox\": [450, 262, 482, 272]}, {\"cell\": \"G9 < G10\", \"bbox\": [498, 262, 530, 272]}, {\"cell\": \"G11 > G12\", \"bbox\": [547, 262, 582, 272]}, {\"cell\": \"G11 < G12\", \"bbox\": [596, 262, 631, 272]}, {\"cell\": \"+\", \"bbox\": [79, 276, 86, 286]}, {\"cell\": \"0\", \"bbox\": [90, 276, 95, 286]}, {\"cell\": \"4\", \"bbox\": [137, 276, 143, 286]}, {\"cell\": \"0\", \"bbox\": [187, 276, 193, 286]}, {\"cell\": \"4\", \"bbox\": [229, 276, 235, 286]}, {\"cell\": \"2\", \"bbox\": [274, 276, 280, 286]}, {\"cell\": \"2\", \"bbox\": [318, 276, 323, 286]}, {\"cell\": \"0\", \"bbox\": [363, 276, 369, 286]}, {\"cell\": \"4\", \"bbox\": [405, 276, 411, 286]}, {\"cell\": \"0\", \"bbox\": [450, 276, 456, 286]}, {\"cell\": \"4\", \"bbox\": [498, 276, 504, 286]}, {\"cell\": \"2\", \"bbox\": [547, 276, 553, 286]}, {\"cell\": \"2\", \"bbox\": [596, 276, 602, 286]}, {\"cell\": \"-\", \"bbox\": [79, 290, 83, 300]}, {\"cell\": \"4\", \"bbox\": [90, 290, 95, 300]}, {\"cell\": \"0\", \"bbox\": [137, 290, 143, 300]}, {\"cell\": \"0\", \"bbox\": [187, 290, 193, 300]}, {\"cell\": \"4\", \"bbox\": [229, 290, 235, 300]}, {\"cell\": \"2\", \"bbox\": [274, 290, 280, 300]}, {\"cell\": \"2\", \"bbox\": [318, 290, 323, 300]}, {\"cell\": \"0\", \"bbox\": [363, 290, 369, 300]}, {\"cell\": \"4\", \"bbox\": [405, 290, 411, 300]}, {\"cell\": \"4\", \"bbox\": [450, 290, 456, 300]}, {\"cell\": \"0\", \"bbox\": [498, 290, 504, 300]}, {\"cell\": \"2\", \"bbox\": [547, 290, 553, 300]}, {\"cell\": \"2\", \"bbox\": [596, 290, 602, 300]}, {\"cell\": \"Highlight\", \"bbox\": [1, 304, 32, 314]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [90, 303, 134, 314]}, {\"cell\": \"No (<i>χ</i><sup>2</sup> = 0)\", \"bbox\": [187, 303, 222, 314]}, {\"cell\": \"No (<i>χ</i><sup>2</sup> = 0.5)\", \"bbox\": [274, 303, 315, 314]}, {\"cell\": \"No (<i>χ</i><sup>2</sup> = 0)\", \"bbox\": [363, 303, 398, 314]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [450, 303, 495, 314]}, {\"cell\": \"No (<i>χ</i><sup>2</sup> = 0.5)\", \"bbox\": [547, 303, 588, 314]}, {\"cell\": \"Vertical comparison of pair-wise genes\", \"bbox\": [1, 318, 65, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"G1 < 75 & G2 < 75\", \"bbox\": [90, 318, 106, 364]}, {\"cell\": \"G1 < 75 &G2 > 75\", \"bbox\": [110, 318, 132, 355]}, {\"cell\": \"G1 > 75 & G2 < 75\", \"bbox\": [137, 318, 154, 355]}, {\"cell\": \"G1 > 75 &G2 > 75\", \"bbox\": [160, 318, 181, 355]}, {\"cell\": \"G3 < 7 & G4 < 75\", \"bbox\": [187, 318, 199, 373]}, {\"cell\": \"G3 < 7 & G4 > 75\", \"bbox\": [207, 318, 224, 355]}, {\"cell\": \"G3 > 7 & G4 < 75\", \"bbox\": [229, 318, 246, 355]}, {\"cell\": \"G3 > 7 & G4 > 75\", \"bbox\": [252, 318, 269, 355]}, {\"cell\": \"G5 < 75 & G6 < 75\", \"bbox\": [274, 318, 290, 364]}, {\"cell\": \"G5 < 75 & G6 > 75\", \"bbox\": [295, 318, 312, 355]}, {\"cell\": \"G5 > 75 & G6 < 75\", \"bbox\": [318, 318, 335, 355]}, {\"cell\": \"G5 > 75 & G6 > 75\", \"bbox\": [340, 318, 357, 355]}, {\"cell\": \"G7 < 7 & G8 < 75\", \"bbox\": [363, 318, 375, 373]}, {\"cell\": \"G7 < 7 & G8 > 75\", \"bbox\": [383, 318, 400, 355]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [405, 318, 422, 355]}, {\"cell\": \"G7 > 7 & G8 > 75\", \"bbox\": [428, 318, 445, 355]}, {\"cell\": \"G9 < 41 & G10 < 41\", \"bbox\": [450, 318, 466, 364]}, {\"cell\": \"G9 < 41 & G10 > 41\", \"bbox\": [472, 318, 493, 355]}, {\"cell\": \"G9 > 41 & G10 < 41\", \"bbox\": [498, 318, 515, 355]}, {\"cell\": \"G9 > 41 & G10 > 41\", \"bbox\": [521, 318, 542, 355]}, {\"cell\": \"G11 < 75 & G12 < 75\", \"bbox\": [547, 318, 563, 364]}, {\"cell\": \"G11 < 75 & G12 > 75\", \"bbox\": [570, 318, 591, 355]}, {\"cell\": \"G11 > 75 & G12 < 75\", \"bbox\": [596, 318, 617, 355]}, {\"cell\": \"G11 > 75 & G12 > 75\", \"bbox\": [623, 318, 644, 355]}, {\"cell\": \"+\", \"bbox\": [79, 377, 86, 387]}, {\"cell\": \"0\", \"bbox\": [90, 377, 95, 387]}, {\"cell\": \"4\", \"bbox\": [110, 377, 116, 387]}, {\"cell\": \"0\", \"bbox\": [137, 377, 143, 387]}, {\"cell\": \"0\", \"bbox\": [160, 377, 166, 387]}, {\"cell\": \"0\", \"bbox\": [187, 377, 193, 387]}, {\"cell\": \"4\", \"bbox\": [207, 377, 212, 387]}, {\"cell\": \"0\", \"bbox\": [229, 377, 235, 387]}, {\"cell\": \"0\", \"bbox\": [252, 377, 258, 387]}, {\"cell\": \"4\", \"bbox\": [274, 377, 280, 387]}, {\"cell\": \"0\", \"bbox\": [295, 377, 301, 387]}, {\"cell\": \"0\", \"bbox\": [318, 377, 323, 387]}, {\"cell\": \"0\", \"bbox\": [340, 377, 346, 387]}, {\"cell\": \"0\", \"bbox\": [363, 377, 369, 387]}, {\"cell\": \"4\", \"bbox\": [383, 377, 388, 387]}, {\"cell\": \"0\", \"bbox\": [405, 377, 411, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 377, 434, 387]}, {\"cell\": \"2\", \"bbox\": [450, 377, 456, 387]}, {\"cell\": \"0\", \"bbox\": [472, 377, 478, 387]}, {\"cell\": \"0\", \"bbox\": [498, 377, 504, 387]}, {\"cell\": \"2\", \"bbox\": [521, 377, 527, 387]}, {\"cell\": \"2\", \"bbox\": [547, 377, 553, 387]}, {\"cell\": \"0\", \"bbox\": [570, 377, 576, 387]}, {\"cell\": \"0\", \"bbox\": [596, 377, 602, 387]}, {\"cell\": \"2\", \"bbox\": [623, 377, 629, 387]}, {\"cell\": \"-\", \"bbox\": [79, 391, 83, 401]}, {\"cell\": \"0\", \"bbox\": [90, 391, 95, 401]}, {\"cell\": \"0\", \"bbox\": [110, 391, 116, 401]}, {\"cell\": \"4\", \"bbox\": [137, 391, 143, 401]}, {\"cell\": \"0\", \"bbox\": [160, 391, 166, 401]}, {\"cell\": \"0\", \"bbox\": [187, 391, 193, 401]}, {\"cell\": \"0\", \"bbox\": [207, 391, 212, 401]}, {\"cell\": \"4\", \"bbox\": [229, 391, 235, 401]}, {\"cell\": \"0\", \"bbox\": [252, 391, 258, 401]}, {\"cell\": \"0\", \"bbox\": [274, 391, 280, 401]}, {\"cell\": \"0\", \"bbox\": [295, 391, 301, 401]}, {\"cell\": \"0\", \"bbox\": [318, 391, 323, 401]}, {\"cell\": \"4\", \"bbox\": [340, 391, 346, 401]}, {\"cell\": \"0\", \"bbox\": [363, 391, 369, 401]}, {\"cell\": \"0\", \"bbox\": [383, 391, 388, 401]}, {\"cell\": \"0\", \"bbox\": [405, 391, 411, 401]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [428, 391, 434, 401]}, {\"cell\": \"2\", \"bbox\": [450, 391, 456, 401]}, {\"cell\": \"0\", \"bbox\": [472, 391, 478, 401]}, {\"cell\": \"0\", \"bbox\": [498, 391, 504, 401]}, {\"cell\": \"2\", \"bbox\": [521, 391, 527, 401]}, {\"cell\": \"0\", \"bbox\": [547, 391, 553, 401]}, {\"cell\": \"2\", \"bbox\": [570, 391, 576, 401]}, {\"cell\": \"2\", \"bbox\": [596, 391, 602, 401]}, {\"cell\": \"0\", \"bbox\": [623, 391, 629, 401]}, {\"cell\": \"Highlight\", \"bbox\": [1, 405, 32, 415]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [90, 404, 134, 415]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [187, 404, 231, 415]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [274, 404, 319, 415]}, {\"cell\": \"Yes (<i>χ</i><sup>2</sup> = 4.5<sup>*</sup>)\", \"bbox\": [363, 404, 407, 415]}, {\"cell\": \"No (<i>χ</i><sup>2</sup> = 0.5)\", \"bbox\": [450, 404, 491, 415]}, {\"cell\": \"Yes ((<i>χ</i><sup>2</sup> = 8<sup>*</sup>)\", \"bbox\": [547, 404, 589, 415]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4721022_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}941{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Month in North hemisphere</b></td><td><b>January</b></td><td><b>February</b></td><td><b>March</b></td><td><b>April</b></td><td><b>May</b></td><td><b>June</b></td><td><b>July</b></td><td><b>August</b></td><td><b>September</b></td><td><b>October</b></td><td><b>November</b></td><td><b>December</b></td></tr><tr><td><b>Month in South hemisphere</b></td><td><b>July</b></td><td><b>August</b></td><td><b>September</b></td><td><b>October</b></td><td><b>November</b></td><td><b>December</b></td><td><b>January</b></td><td><b>February</b></td><td><b>March</b></td><td><b>April</b></td><td><b>May</b></td><td><b>June</b></td></tr></thead><tbody><tr><td>Pooled relative risk</td><td>1 (ref)</td><td>1.16</td><td>1.01</td><td>1.12</td><td>1.17</td><td>1.33</td><td>1.15</td><td>1.22</td><td>1.12</td><td>1.02</td><td>0.96</td><td>[EMPTY_CELL]</td></tr><tr><td>Lower bound for 95% credible interval</td><td>[EMPTY_CELL]</td><td>1.1</td><td>0.57</td><td>0.89</td><td>0.98</td><td>0.78</td><td>0.67</td><td>0.89</td><td>0.97</td><td>0.79</td><td>0.7</td><td>[EMPTY_CELL]</td></tr><tr><td>Higher bound for 95% credible interval</td><td>[EMPTY_CELL]</td><td>1.22</td><td>1.79</td><td>1.43</td><td>1.4</td><td>2.27</td><td>1.97</td><td>1.65</td><td>1.3</td><td>1.31</td><td>1.31</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Month in North hemisphere</b>\", \"bbox\": [9, 5, 79, 31]}, {\"cell\": \"<b>January</b>\", \"bbox\": [91, 12, 129, 23]}, {\"cell\": \"<b>February</b>\", \"bbox\": [140, 12, 183, 23]}, {\"cell\": \"<b>March</b>\", \"bbox\": [203, 12, 233, 23]}, {\"cell\": \"<b>April</b>\", \"bbox\": [260, 12, 284, 23]}, {\"cell\": \"<b>May</b>\", \"bbox\": [315, 12, 337, 23]}, {\"cell\": \"<b>June</b>\", \"bbox\": [373, 12, 396, 23]}, {\"cell\": \"<b>July</b>\", \"bbox\": [428, 12, 449, 23]}, {\"cell\": \"<b>August</b>\", \"bbox\": [474, 12, 506, 23]}, {\"cell\": \"<b>September</b>\", \"bbox\": [522, 12, 571, 23]}, {\"cell\": \"<b>October</b>\", \"bbox\": [582, 12, 619, 23]}, {\"cell\": \"<b>November</b>\", \"bbox\": [631, 12, 678, 23]}, {\"cell\": \"<b>December</b>\", \"bbox\": [689, 12, 725, 23]}, {\"cell\": \"<b>Month in South hemisphere</b>\", \"bbox\": [9, 35, 78, 61]}, {\"cell\": \"<b>July</b>\", \"bbox\": [100, 42, 120, 53]}, {\"cell\": \"<b>August</b>\", \"bbox\": [145, 42, 178, 53]}, {\"cell\": \"<b>September</b>\", \"bbox\": [194, 42, 242, 53]}, {\"cell\": \"<b>October</b>\", \"bbox\": [254, 42, 291, 53]}, {\"cell\": \"<b>November</b>\", \"bbox\": [303, 42, 349, 53]}, {\"cell\": \"<b>December</b>\", \"bbox\": [362, 42, 407, 53]}, {\"cell\": \"<b>January</b>\", \"bbox\": [420, 42, 457, 53]}, {\"cell\": \"<b>February</b>\", \"bbox\": [469, 42, 512, 53]}, {\"cell\": \"<b>March</b>\", \"bbox\": [531, 42, 562, 53]}, {\"cell\": \"<b>April</b>\", \"bbox\": [588, 42, 613, 53]}, {\"cell\": \"<b>May</b>\", \"bbox\": [644, 42, 665, 53]}, {\"cell\": \"<b>June</b>\", \"bbox\": [700, 42, 723, 53]}, {\"cell\": \"Pooled relative risk\", \"bbox\": [13, 65, 75, 91]}, {\"cell\": \"1 (ref)\", \"bbox\": [96, 73, 124, 84]}, {\"cell\": \"1.16\", \"bbox\": [152, 73, 172, 84]}, {\"cell\": \"1.01\", \"bbox\": [208, 73, 228, 84]}, {\"cell\": \"1.12\", \"bbox\": [262, 73, 282, 84]}, {\"cell\": \"1.17\", \"bbox\": [316, 73, 336, 84]}, {\"cell\": \"1.33\", \"bbox\": [375, 73, 394, 84]}, {\"cell\": \"1.15\", \"bbox\": [429, 73, 448, 84]}, {\"cell\": \"1.22\", \"bbox\": [480, 73, 500, 84]}, {\"cell\": \"1.12\", \"bbox\": [537, 73, 556, 84]}, {\"cell\": \"1.02\", \"bbox\": [591, 73, 610, 84]}, {\"cell\": \"0.96\", \"bbox\": [645, 73, 664, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [702, 73, 721, 84]}, {\"cell\": \"Lower bound for 95% credible interval\", \"bbox\": [9, 95, 79, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.1\", \"bbox\": [155, 110, 169, 121]}, {\"cell\": \"0.57\", \"bbox\": [208, 110, 228, 121]}, {\"cell\": \"0.89\", \"bbox\": [262, 110, 282, 121]}, {\"cell\": \"0.98\", \"bbox\": [316, 110, 336, 121]}, {\"cell\": \"0.78\", \"bbox\": [375, 110, 394, 121]}, {\"cell\": \"0.67\", \"bbox\": [429, 110, 448, 121]}, {\"cell\": \"0.89\", \"bbox\": [480, 110, 500, 121]}, {\"cell\": \"0.97\", \"bbox\": [537, 110, 556, 121]}, {\"cell\": \"0.79\", \"bbox\": [591, 110, 610, 121]}, {\"cell\": \"0.7\", \"bbox\": [647, 110, 662, 121]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [702, 110, 721, 121]}, {\"cell\": \"Higher bound for 95% credible interval\", \"bbox\": [8, 140, 79, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.22\", \"bbox\": [152, 155, 172, 166]}, {\"cell\": \"1.79\", \"bbox\": [208, 155, 228, 166]}, {\"cell\": \"1.43\", \"bbox\": [262, 155, 282, 166]}, {\"cell\": \"1.4\", \"bbox\": [319, 155, 333, 166]}, {\"cell\": \"2.27\", \"bbox\": [375, 155, 394, 166]}, {\"cell\": \"1.97\", \"bbox\": [429, 155, 448, 166]}, {\"cell\": \"1.65\", \"bbox\": [480, 155, 500, 166]}, {\"cell\": \"1.3\", \"bbox\": [539, 155, 554, 166]}, {\"cell\": \"1.31\", \"bbox\": [591, 155, 610, 166]}, {\"cell\": \"1.31\", \"bbox\": [645, 155, 664, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [702, 155, 721, 166]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3924438_073_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}942{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Sample</b></td><td><b>Age (years)</b></td><td><b>Right Hand (kg)</b></td><td><b>Left Hand (kg)</b></td><td><b>Sum of Two Hands (kg)</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">Males</td></tr><tr><td>Spanish (<i>n</i> = 74)</td><td>14.7 ± 1.1</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(Torres-Luque <i>et al.</i>, 2015) [33]</td></tr><tr><td>Tunisians national (<i>n</i> = 12)</td><td>18.6 ± 2.4</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(Souissi <i>et al.</i>, 2013) [38]</td></tr><tr><td>Cypriots competitive (<i>n</i> = 11)</td><td>20 ± 6</td><td>[EMPTY_CELL]</td><td>42.0 ± 8.8</td><td>88.5 <sup>a</sup></td><td>(Papacosta <i>et al.</i>, 2013) [40]</td></tr><tr><td>Spanish national (<i>n</i> = 12)</td><td>22.0 ± 3.2</td><td>[EMPTY_CELL]</td><td>55.4 ± 7.4</td><td>113 <sup>a</sup></td><td>(Bonitch-Góngora <i>et al.</i>, 2012) [43]</td></tr><tr><td>Spanish national (<i>n</i> = 14)</td><td>22.9</td><td>[EMPTY_CELL]</td><td>46.5</td><td>94.9</td><td>(Morales <i>et al.</i>, 2014) [47]</td></tr><tr><td>Portuguese national (<i>n</i> = 27)</td><td>23.2 ± 2.8</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(Silva <i>et al.</i>, 2011) [49]</td></tr><tr><td>Europeans elite (<i>n</i> = 10)</td><td>25.6 ± 3.6</td><td>[EMPTY_CELL]</td><td>69.0</td><td>133.3 <sup>a</sup></td><td>(Drid <i>et al.</i>, 2015) [51]</td></tr><tr><td>Brazilian recreational (<i>n</i> = 180)</td><td>25.7 ± 4.9</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>101 ± 15</td><td>(Schwartz <i>et al.</i>, 2015) [52]</td></tr><tr><td>Brazilian competitive (<i>n</i> = 22)</td><td>22.5 ± 3.9</td><td>[EMPTY_CELL]</td><td>51.4 ± 7.9</td><td>102.8 <sup>a</sup></td><td>(Ache Dias <i>et al.</i>, 2012) [45]</td></tr><tr><td>French competitive (<i>n</i> = 13)</td><td>adults</td><td>[EMPTY_CELL]</td><td>49.6</td><td>99.6 <sup>a</sup></td><td>(Franchini <i>et al.</i>, 2015) [53]</td></tr><tr><td colspan=\\\"6\\\">Females</td></tr><tr><td>Spanish (<i>n</i> = 72)</td><td>14.5 ± 1.2</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>(Torres-Luque <i>et al.</i>, 2015) [33]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Sample</b>\", \"bbox\": [38, 7, 60, 15]}, {\"cell\": \"<b>Age (years)</b>\", \"bbox\": [108, 7, 141, 15]}, {\"cell\": \"<b>Right Hand (kg)</b>\", \"bbox\": [163, 4, 197, 18]}, {\"cell\": \"<b>Left Hand (kg)</b>\", \"bbox\": [215, 7, 257, 15]}, {\"cell\": \"<b>Sum of Two Hands (kg)</b>\", \"bbox\": [276, 4, 311, 18]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [360, 7, 389, 15]}, {\"cell\": \"Males\", \"bbox\": [205, 21, 222, 29]}, {\"cell\": \"Spanish (<i>n</i> = 74)\", \"bbox\": [27, 32, 71, 40]}, {\"cell\": \"14.7 ± 1.1\", \"bbox\": [110, 32, 139, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [165, 32, 196, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(Torres-Luque <i>et al.</i>, 2015) [33]\", \"bbox\": [334, 32, 415, 40]}, {\"cell\": \"Tunisians national (<i>n</i> = 12)\", \"bbox\": [13, 43, 85, 51]}, {\"cell\": \"18.6 ± 2.4\", \"bbox\": [110, 43, 139, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [175, 43, 186, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(Souissi <i>et al.</i>, 2013) [38]\", \"bbox\": [342, 43, 406, 51]}, {\"cell\": \"Cypriots competitive (<i>n</i> = 11)\", \"bbox\": [10, 54, 89, 62]}, {\"cell\": \"20 ± 6\", \"bbox\": [115, 54, 134, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 54, 195, 62]}, {\"cell\": \"42.0 ± 8.8\", \"bbox\": [222, 54, 250, 62]}, {\"cell\": \"88.5 <sup>a</sup>\", \"bbox\": [285, 53, 302, 62]}, {\"cell\": \"(Papacosta <i>et al.</i>, 2013) [40]\", \"bbox\": [338, 54, 410, 62]}, {\"cell\": \"Spanish national (<i>n</i> = 12)\", \"bbox\": [15, 66, 83, 74]}, {\"cell\": \"22.0 ± 3.2\", \"bbox\": [110, 66, 139, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 66, 195, 74]}, {\"cell\": \"55.4 ± 7.4\", \"bbox\": [222, 66, 250, 74]}, {\"cell\": \"113 <sup>a</sup>\", \"bbox\": [286, 64, 301, 74]}, {\"cell\": \"(Bonitch-Góngora <i>et al.</i>, 2012) [43]\", \"bbox\": [329, 66, 420, 74]}, {\"cell\": \"Spanish national (<i>n</i> = 14)\", \"bbox\": [15, 77, 83, 85]}, {\"cell\": \"22.9\", \"bbox\": [118, 77, 131, 85]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 77, 187, 85]}, {\"cell\": \"46.5\", \"bbox\": [230, 77, 242, 85]}, {\"cell\": \"94.9\", \"bbox\": [287, 77, 300, 85]}, {\"cell\": \"(Morales <i>et al.</i>, 2014) [47]\", \"bbox\": [341, 77, 408, 85]}, {\"cell\": \"Portuguese national (<i>n</i> = 27)\", \"bbox\": [11, 89, 87, 97]}, {\"cell\": \"23.2 ± 2.8\", \"bbox\": [110, 89, 139, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 88, 196, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(Silva <i>et al.</i>, 2011) [49]\", \"bbox\": [345, 89, 404, 97]}, {\"cell\": \"Europeans elite (<i>n</i> = 10)\", \"bbox\": [17, 100, 81, 108]}, {\"cell\": \"25.6 ± 3.6\", \"bbox\": [110, 100, 139, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 100, 187, 108]}, {\"cell\": \"69.0\", \"bbox\": [230, 100, 242, 108]}, {\"cell\": \"133.3 <sup>a</sup>\", \"bbox\": [284, 99, 303, 109]}, {\"cell\": \"(Drid <i>et al.</i>, 2015) [51]\", \"bbox\": [346, 100, 403, 108]}, {\"cell\": \"Brazilian recreational (<i>n</i> = 180)\", \"bbox\": [8, 112, 90, 120]}, {\"cell\": \"25.7 ± 4.9\", \"bbox\": [110, 111, 139, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"101 ± 15\", \"bbox\": [281, 111, 306, 120]}, {\"cell\": \"(Schwartz <i>et al.</i>, 2015) [52]\", \"bbox\": [339, 112, 409, 120]}, {\"cell\": \"Brazilian competitive (<i>n</i> = 22)\", \"bbox\": [9, 123, 89, 131]}, {\"cell\": \"22.5 ± 3.9\", \"bbox\": [110, 123, 139, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [164, 122, 196, 131]}, {\"cell\": \"51.4 ± 7.9\", \"bbox\": [222, 123, 250, 131]}, {\"cell\": \"102.8 <sup>a</sup>\", \"bbox\": [284, 122, 303, 131]}, {\"cell\": \"(Ache Dias <i>et al.</i>, 2012) [45]\", \"bbox\": [338, 123, 411, 131]}, {\"cell\": \"French competitive (<i>n</i> = 13)\", \"bbox\": [12, 134, 86, 142]}, {\"cell\": \"adults\", \"bbox\": [115, 134, 134, 142]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 134, 187, 142]}, {\"cell\": \"49.6\", \"bbox\": [230, 134, 242, 142]}, {\"cell\": \"99.6 <sup>a</sup>\", \"bbox\": [285, 133, 302, 142]}, {\"cell\": \"(Franchini <i>et al.</i>, 2015) [53]\", \"bbox\": [339, 134, 410, 142]}, {\"cell\": \"Females\", \"bbox\": [202, 145, 225, 153]}, {\"cell\": \"Spanish (<i>n</i> = 72)\", \"bbox\": [27, 156, 71, 164]}, {\"cell\": \"14.5 ± 1.2\", \"bbox\": [110, 156, 139, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [166, 156, 195, 164]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"(Torres-Luque <i>et al.</i>, 2015) [33]\", \"bbox\": [334, 156, 415, 164]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5968945_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}943{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b><i>Data sets</i></b></td><td rowspan=\\\"2\\\"><b><i>Registration method</i></b></td><td colspan=\\\"4\\\"><b><i>Similarity</i></b></td></tr><tr><td><b>SSD</b></td><td><b>SAD</b></td><td><b>CC</b></td><td><b>NMI</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Fig (4)-1</td><td>HBFFD</td><td>[EMPTY_CELL]</td><td>0.007298</td><td>0.997311</td><td>1.362331</td></tr><tr><td>Our method</td><td>0.000094</td><td>[EMPTY_CELL]</td><td>0.999132</td><td>1.427246</td></tr><tr><td rowspan=\\\"2\\\">Fig. (4)-2</td><td>HBFFD</td><td>[EMPTY_CELL]</td><td>0.005895</td><td>0.999017</td><td>1.440683</td></tr><tr><td>Our method</td><td>0.000041</td><td>[EMPTY_CELL]</td><td>0.999611</td><td>1.501243</td></tr><tr><td rowspan=\\\"2\\\">Fig. (4)-3</td><td>HBFFD</td><td>[EMPTY_CELL]</td><td>0.007753</td><td>0.999326</td><td>1.496891</td></tr><tr><td>Our method</td><td>0.000132</td><td>[EMPTY_CELL]</td><td>0.999753</td><td>1.564322</td></tr><tr><td rowspan=\\\"2\\\">Fig. (5)-1</td><td>HBFFD</td><td>[EMPTY_CELL]</td><td>0.025060</td><td>0.990610</td><td>1.240709</td></tr><tr><td>Our method</td><td>0.001002</td><td>[EMPTY_CELL]</td><td>0.993157</td><td>1.252207</td></tr><tr><td rowspan=\\\"2\\\">Fig. (5)-2</td><td>HBFFD</td><td>[EMPTY_CELL]</td><td>0.028780</td><td>0.985250</td><td>1.242566</td></tr><tr><td>Our method</td><td>0.001091</td><td>[EMPTY_CELL]</td><td>0.991436</td><td>1.254210</td></tr><tr><td rowspan=\\\"2\\\">Fig. (5)-3</td><td>HBFFD</td><td>[EMPTY_CELL]</td><td>0.027649</td><td>0.986869</td><td>1.223756</td></tr><tr><td>Our method</td><td>0.001241</td><td>[EMPTY_CELL]</td><td>0.989843</td><td>1.233242</td></tr><tr><td rowspan=\\\"2\\\">Fig. (5)-4</td><td>HBFFD</td><td>[EMPTY_CELL]</td><td>0.027423</td><td>0.991089</td><td>1.240364</td></tr><tr><td>Our method</td><td>0.000927</td><td>[EMPTY_CELL]</td><td>0.995822</td><td>1.251860</td></tr><tr><td rowspan=\\\"2\\\">Fig. (5)-5</td><td>HBFFD</td><td>[EMPTY_CELL]</td><td>0.023837</td><td>0.991260</td><td>1.242578</td></tr><tr><td>Our method</td><td>0.000828</td><td>[EMPTY_CELL]</td><td>0.996651</td><td>1.253413</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b><i>Data sets</i></b>\", \"bbox\": [5, 4, 52, 15]}, {\"cell\": \"<b><i>Registration method</i></b>\", \"bbox\": [88, 4, 148, 26]}, {\"cell\": \"<b><i>Similarity</i></b>\", \"bbox\": [265, 4, 314, 15]}, {\"cell\": \"<b>SSD</b>\", \"bbox\": [182, 16, 202, 27]}, {\"cell\": \"<b>SAD</b>\", \"bbox\": [245, 16, 266, 27]}, {\"cell\": \"<b>CC</b>\", \"bbox\": [311, 16, 327, 27]}, {\"cell\": \"<b>NMI</b>\", \"bbox\": [371, 16, 394, 27]}, {\"cell\": \"Fig (4)-1\", \"bbox\": [6, 27, 41, 39]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 27, 133, 39]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 27, 211, 39]}, {\"cell\": \"0.007298\", \"bbox\": [237, 27, 274, 39]}, {\"cell\": \"0.997311\", \"bbox\": [301, 27, 338, 39]}, {\"cell\": \"1.362331\", \"bbox\": [364, 27, 401, 39]}, {\"cell\": \"Our method\", \"bbox\": [91, 39, 141, 50]}, {\"cell\": \"0.000094\", \"bbox\": [174, 39, 211, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 39, 274, 50]}, {\"cell\": \"0.999132\", \"bbox\": [301, 39, 338, 50]}, {\"cell\": \"1.427246\", \"bbox\": [364, 39, 401, 50]}, {\"cell\": \"Fig. (4)-2\", \"bbox\": [6, 50, 43, 61]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 50, 133, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 50, 211, 61]}, {\"cell\": \"0.005895\", \"bbox\": [237, 50, 274, 61]}, {\"cell\": \"0.999017\", \"bbox\": [301, 50, 338, 61]}, {\"cell\": \"1.440683\", \"bbox\": [364, 50, 401, 61]}, {\"cell\": \"Our method\", \"bbox\": [91, 61, 141, 72]}, {\"cell\": \"0.000041\", \"bbox\": [174, 61, 211, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 61, 274, 72]}, {\"cell\": \"0.999611\", \"bbox\": [301, 61, 338, 72]}, {\"cell\": \"1.501243\", \"bbox\": [364, 61, 401, 72]}, {\"cell\": \"Fig. (4)-3\", \"bbox\": [6, 72, 43, 84]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 72, 133, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 72, 211, 84]}, {\"cell\": \"0.007753\", \"bbox\": [237, 72, 274, 84]}, {\"cell\": \"0.999326\", \"bbox\": [301, 72, 338, 84]}, {\"cell\": \"1.496891\", \"bbox\": [364, 72, 401, 84]}, {\"cell\": \"Our method\", \"bbox\": [91, 84, 141, 95]}, {\"cell\": \"0.000132\", \"bbox\": [174, 84, 211, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 84, 274, 95]}, {\"cell\": \"0.999753\", \"bbox\": [301, 84, 338, 95]}, {\"cell\": \"1.564322\", \"bbox\": [364, 84, 401, 95]}, {\"cell\": \"Fig. (5)-1\", \"bbox\": [6, 95, 43, 106]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 95, 133, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 95, 211, 106]}, {\"cell\": \"0.025060\", \"bbox\": [237, 95, 274, 106]}, {\"cell\": \"0.990610\", \"bbox\": [301, 95, 338, 106]}, {\"cell\": \"1.240709\", \"bbox\": [364, 95, 401, 106]}, {\"cell\": \"Our method\", \"bbox\": [91, 106, 141, 117]}, {\"cell\": \"0.001002\", \"bbox\": [174, 106, 211, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 106, 274, 117]}, {\"cell\": \"0.993157\", \"bbox\": [301, 106, 338, 117]}, {\"cell\": \"1.252207\", \"bbox\": [364, 106, 401, 117]}, {\"cell\": \"Fig. (5)-2\", \"bbox\": [6, 117, 43, 129]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 117, 133, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 117, 211, 129]}, {\"cell\": \"0.028780\", \"bbox\": [237, 117, 274, 129]}, {\"cell\": \"0.985250\", \"bbox\": [301, 117, 338, 129]}, {\"cell\": \"1.242566\", \"bbox\": [364, 117, 401, 129]}, {\"cell\": \"Our method\", \"bbox\": [91, 129, 141, 140]}, {\"cell\": \"0.001091\", \"bbox\": [174, 129, 211, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 129, 274, 140]}, {\"cell\": \"0.991436\", \"bbox\": [301, 129, 338, 140]}, {\"cell\": \"1.254210\", \"bbox\": [364, 129, 401, 140]}, {\"cell\": \"Fig. (5)-3\", \"bbox\": [6, 140, 43, 151]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 140, 133, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 140, 211, 151]}, {\"cell\": \"0.027649\", \"bbox\": [237, 140, 274, 151]}, {\"cell\": \"0.986869\", \"bbox\": [301, 140, 338, 151]}, {\"cell\": \"1.223756\", \"bbox\": [364, 140, 401, 151]}, {\"cell\": \"Our method\", \"bbox\": [91, 151, 141, 162]}, {\"cell\": \"0.001241\", \"bbox\": [174, 151, 211, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 151, 274, 162]}, {\"cell\": \"0.989843\", \"bbox\": [301, 151, 338, 162]}, {\"cell\": \"1.233242\", \"bbox\": [364, 151, 401, 162]}, {\"cell\": \"Fig. (5)-4\", \"bbox\": [6, 162, 43, 174]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 162, 133, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 162, 211, 174]}, {\"cell\": \"0.027423\", \"bbox\": [237, 162, 274, 174]}, {\"cell\": \"0.991089\", \"bbox\": [301, 162, 338, 174]}, {\"cell\": \"1.240364\", \"bbox\": [364, 162, 401, 174]}, {\"cell\": \"Our method\", \"bbox\": [91, 174, 141, 185]}, {\"cell\": \"0.000927\", \"bbox\": [174, 174, 211, 185]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 174, 274, 185]}, {\"cell\": \"0.995822\", \"bbox\": [301, 174, 338, 185]}, {\"cell\": \"1.251860\", \"bbox\": [364, 174, 401, 185]}, {\"cell\": \"Fig. (5)-5\", \"bbox\": [6, 185, 43, 196]}, {\"cell\": \"HBFFD\", \"bbox\": [99, 185, 133, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [174, 185, 211, 196]}, {\"cell\": \"0.023837\", \"bbox\": [237, 185, 274, 196]}, {\"cell\": \"0.991260\", \"bbox\": [301, 185, 338, 196]}, {\"cell\": \"1.242578\", \"bbox\": [364, 185, 401, 196]}, {\"cell\": \"Our method\", \"bbox\": [91, 196, 141, 207]}, {\"cell\": \"0.000828\", \"bbox\": [174, 196, 211, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [237, 196, 274, 207]}, {\"cell\": \"0.996651\", \"bbox\": [301, 196, 338, 207]}, {\"cell\": \"1.253413\", \"bbox\": [364, 196, 401, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5734968_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}944{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Date </b></td><td><b>Advances</b></td><td><b>Reference</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>First report of ZIKV probable sexual transmission</td><td>[16]</td></tr><tr><td>[EMPTY_CELL]</td><td>Two cases of probable sexual transmission reported</td><td>[26]</td></tr><tr><td>[EMPTY_CELL]</td><td>Infectious ZIKV particles detected in semen samples</td><td>[27]</td></tr><tr><td>[EMPTY_CELL]</td><td>High viral load reported in semen sample</td><td>[28]</td></tr><tr><td>[EMPTY_CELL]</td><td>Zika virus presence in semen confirmed</td><td>[29]</td></tr><tr><td>[EMPTY_CELL]</td><td>Zika RNA found in semen of asymptomatic blood donors</td><td>[30]</td></tr><tr><td>[EMPTY_CELL]</td><td>First report of male-to-male sexual transmission</td><td>[31]</td></tr><tr><td>[EMPTY_CELL]</td><td>First report of Zika RNA in cervical mucus</td><td>[32]</td></tr><tr><td>[EMPTY_CELL]</td><td>First report of suspected female-to-male sexual transmission</td><td>[33]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Date </b>\", \"bbox\": [36, 5, 57, 14]}, {\"cell\": \"<b>Advances</b>\", \"bbox\": [194, 5, 236, 14]}, {\"cell\": \"<b>Reference</b>\", \"bbox\": [356, 5, 399, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 21, 47, 32]}, {\"cell\": \"First report of ZIKV probable sexual transmission\", \"bbox\": [96, 21, 295, 32]}, {\"cell\": \"[16]\", \"bbox\": [369, 21, 386, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 32, 47, 43]}, {\"cell\": \"Two cases of probable sexual transmission reported\", \"bbox\": [96, 32, 302, 43]}, {\"cell\": \"[26]\", \"bbox\": [369, 32, 386, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 43, 65, 54]}, {\"cell\": \"Infectious ZIKV particles detected in semen samples\", \"bbox\": [96, 43, 306, 54]}, {\"cell\": \"[27]\", \"bbox\": [369, 43, 386, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 54, 54, 65]}, {\"cell\": \"High viral load reported in semen sample\", \"bbox\": [96, 54, 264, 65]}, {\"cell\": \"[28]\", \"bbox\": [369, 54, 386, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 65, 47, 76]}, {\"cell\": \"Zika virus presence in semen confirmed\", \"bbox\": [96, 65, 257, 76]}, {\"cell\": \"[29]\", \"bbox\": [369, 65, 386, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 76, 50, 87]}, {\"cell\": \"Zika RNA found in semen of asymptomatic blood donors\", \"bbox\": [96, 76, 327, 87]}, {\"cell\": \"[30]\", \"bbox\": [369, 76, 386, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 87, 50, 98]}, {\"cell\": \"First report of male-to-male sexual transmission\", \"bbox\": [96, 87, 288, 98]}, {\"cell\": \"[31]\", \"bbox\": [369, 87, 386, 98]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 98, 45, 109]}, {\"cell\": \"First report of Zika RNA in cervical mucus\", \"bbox\": [96, 98, 268, 109]}, {\"cell\": \"[32]\", \"bbox\": [369, 98, 386, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 109, 45, 120]}, {\"cell\": \"First report of suspected female-to-male sexual transmission\", \"bbox\": [96, 109, 335, 120]}, {\"cell\": \"[33]\", \"bbox\": [369, 109, 386, 120]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6027493_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}945{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Laboratory values</b></td><td rowspan=\\\"2\\\"><b><i>N</i></b></td><td rowspan=\\\"2\\\"><b>Mean</b></td><td rowspan=\\\"2\\\"><b>SD</b></td><td colspan=\\\"3\\\"><b>Percentile values</b></td></tr><tr><td><b>25th</b></td><td><b>50th</b></td><td><b>75th</b></td></tr></thead><tbody><tr><td>RBC, ×10<sup>12</sup>/mL</td><td>355</td><td>3.25</td><td>0.93</td><td>2.53</td><td>3.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Hemoglobin, g/dL</td><td>356</td><td>9.35</td><td>1.95</td><td>8.00</td><td>9.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Hematocrit, %</td><td>356</td><td>27.18</td><td>6.00</td><td>22.13</td><td>26.00</td><td>[EMPTY_CELL]</td></tr><tr><td>MCV, fL</td><td>356</td><td>85.62</td><td>9.21</td><td>79.15</td><td>85.60</td><td>[EMPTY_CELL]</td></tr><tr><td>MCH, ρg</td><td>356</td><td>29.62</td><td>3.78</td><td>27.00</td><td>29.65</td><td>[EMPTY_CELL]</td></tr><tr><td>Reticulocyte count, %</td><td>352</td><td>6.07</td><td>2.58</td><td>4.00</td><td>6.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Fetal hemoglobin (Hb), %</td><td>356</td><td>7.39</td><td>6.57</td><td>2.00</td><td>5.35</td><td>[EMPTY_CELL]</td></tr><tr><td>S Hb, %</td><td>356</td><td>72.63</td><td>17.95</td><td>51.32</td><td>81.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Leukocyte count, ×10<sup>9</sup>/mL</td><td>356</td><td>11,955.31</td><td>4,180.38</td><td>8,800.00</td><td>11,450.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Neutrophil count, ×10<sup>9</sup>/mL</td><td>356</td><td>5,891.08</td><td>2,789.25</td><td>3,870.00</td><td>5,357.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Eosinophil count, ×10<sup>9</sup>/mL</td><td>356</td><td>768.17</td><td>712.07</td><td>274.00</td><td>521.50</td><td>[EMPTY_CELL]</td></tr><tr><td>Lymphocyte count, ×10<sup>9</sup>/mL</td><td>356</td><td>4,327.80</td><td>2,027.55</td><td>2,924.50</td><td>3,922.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Monocyte count, ×10<sup>9</sup>/mL</td><td>356</td><td>826.21</td><td>402.89</td><td>537.00</td><td>741.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Platelet count, ×10<sup>3</sup>/μL</td><td>356</td><td>407.21</td><td>158.74</td><td>288.50</td><td>392.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Glucose, mg/dL</td><td>356</td><td>75.14</td><td>19.72</td><td>68.00</td><td>74.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Total cholesterol, mg/dL</td><td>356</td><td>130.25</td><td>28.39</td><td>110.00</td><td>126.50</td><td>[EMPTY_CELL]</td></tr><tr><td>HDL-C, mg/dL</td><td>356</td><td>33.21</td><td>8.73</td><td>27.00</td><td>32.00</td><td>[EMPTY_CELL]</td></tr><tr><td>LDL-C, mg/dL</td><td>356</td><td>77.88</td><td>24.35</td><td>62.00</td><td>76.00</td><td>[EMPTY_CELL]</td></tr><tr><td>VLDL-C, mg/dL</td><td>356</td><td>19.23</td><td>9.73</td><td>13.00</td><td>17.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Triglycerides, mg/dL</td><td>356</td><td>96.18</td><td>48.47</td><td>64.00</td><td>86.50</td><td>[EMPTY_CELL]</td></tr><tr><td>ALT, U/L</td><td>356</td><td>22.99</td><td>14.72</td><td>14.00</td><td>20.00</td><td>[EMPTY_CELL]</td></tr><tr><td>AST, U/L</td><td>356</td><td>47.68</td><td>22.13</td><td>32.00</td><td>43.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Iron serum, mcg/dL</td><td>356</td><td>91.67</td><td>51.02</td><td>60.00</td><td>82.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Ferritin, ηg/mL</td><td>351</td><td>305.68</td><td>458.89</td><td>81.00</td><td>167.20</td><td>[EMPTY_CELL]</td></tr><tr><td>Total bilirubin, mg/dL</td><td>356</td><td>1.99</td><td>1.35</td><td>1.00</td><td>1.90</td><td>[EMPTY_CELL]</td></tr><tr><td>Direct bilirubin, mg/dL</td><td>356</td><td>0.51</td><td>0.47</td><td>0.00</td><td>0.40</td><td>[EMPTY_CELL]</td></tr><tr><td>Indirect bilirubin, mg/dL</td><td>356</td><td>1.49</td><td>1.23</td><td>0.90</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Total protein, g/dL</td><td>356</td><td>7.96</td><td>0.80</td><td>7.50</td><td>8.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Albumin, g/dL</td><td>356</td><td>4.45</td><td>0.54</td><td>4.00</td><td>4.40</td><td>[EMPTY_CELL]</td></tr><tr><td>Globulin, g/dL</td><td>356</td><td>3.54</td><td>0.82</td><td>3.00</td><td>3.55</td><td>[EMPTY_CELL]</td></tr><tr><td>Uric acid, mg/dL</td><td>356</td><td>4.12</td><td>1.27</td><td>3.00</td><td>4.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Urea nitrogen, mg/dL</td><td>356</td><td>18.17</td><td>8.07</td><td>13.00</td><td>17.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Creatinine, mg/dL</td><td>354</td><td>0.54</td><td>0.51</td><td>0.00</td><td>1.00</td><td>[EMPTY_CELL]</td></tr><tr><td>C-reactive protein, mg/L</td><td>353</td><td>6.74</td><td>9.57</td><td>2.47</td><td>4.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Antistreptolysin-O, UI/mL</td><td>353</td><td>177.68</td><td>339.38</td><td>28.50</td><td>80.00</td><td>[EMPTY_CELL]</td></tr><tr><td>Haptoglobin, mg/dL</td><td>353</td><td>8.82</td><td>15.75</td><td>5.83</td><td>6.00</td><td>[EMPTY_CELL]</td></tr><tr><td>LDH, U/L</td><td>356</td><td>964.05</td><td>531.42</td><td>597.25</td><td>855.00</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Laboratory values</b>\", \"bbox\": [1, 6, 63, 15]}, {\"cell\": \"<b><i>N</i></b>\", \"bbox\": [133, 6, 140, 13]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [191, 6, 212, 15]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [268, 6, 280, 15]}, {\"cell\": \"<b>Percentile values</b>\", \"bbox\": [389, 6, 448, 15]}, {\"cell\": \"<b>25th</b>\", \"bbox\": [336, 23, 352, 32]}, {\"cell\": \"<b>50th</b>\", \"bbox\": [408, 23, 425, 32]}, {\"cell\": \"<b>75th</b>\", \"bbox\": [482, 23, 499, 32]}, {\"cell\": \"RBC, ×10<sup>12</sup>/mL\", \"bbox\": [1, 40, 50, 49]}, {\"cell\": \"355\", \"bbox\": [130, 40, 144, 49]}, {\"cell\": \"3.25\", \"bbox\": [202, 40, 218, 49]}, {\"cell\": \"0.93\", \"bbox\": [273, 40, 288, 49]}, {\"cell\": \"2.53\", \"bbox\": [343, 40, 359, 49]}, {\"cell\": \"3.00\", \"bbox\": [417, 40, 433, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [492, 40, 507, 49]}, {\"cell\": \"Hemoglobin, g/dL\", \"bbox\": [1, 50, 57, 59]}, {\"cell\": \"356\", \"bbox\": [130, 50, 144, 59]}, {\"cell\": \"9.35\", \"bbox\": [202, 50, 218, 59]}, {\"cell\": \"1.95\", \"bbox\": [273, 50, 288, 59]}, {\"cell\": \"8.00\", \"bbox\": [343, 50, 359, 59]}, {\"cell\": \"9.00\", \"bbox\": [417, 50, 433, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 50, 507, 59]}, {\"cell\": \"Hematocrit, %\", \"bbox\": [1, 60, 46, 68]}, {\"cell\": \"356\", \"bbox\": [130, 60, 144, 68]}, {\"cell\": \"27.18\", \"bbox\": [198, 60, 218, 68]}, {\"cell\": \"6.00\", \"bbox\": [273, 60, 288, 68]}, {\"cell\": \"22.13\", \"bbox\": [339, 60, 359, 68]}, {\"cell\": \"26.00\", \"bbox\": [413, 60, 433, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 60, 507, 68]}, {\"cell\": \"MCV, fL\", \"bbox\": [1, 69, 26, 78]}, {\"cell\": \"356\", \"bbox\": [130, 69, 144, 78]}, {\"cell\": \"85.62\", \"bbox\": [198, 69, 218, 78]}, {\"cell\": \"9.21\", \"bbox\": [273, 69, 288, 78]}, {\"cell\": \"79.15\", \"bbox\": [339, 69, 359, 78]}, {\"cell\": \"85.60\", \"bbox\": [413, 69, 433, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 69, 507, 78]}, {\"cell\": \"MCH, ρg\", \"bbox\": [1, 79, 30, 87]}, {\"cell\": \"356\", \"bbox\": [130, 79, 144, 87]}, {\"cell\": \"29.62\", \"bbox\": [198, 79, 218, 87]}, {\"cell\": \"3.78\", \"bbox\": [273, 79, 288, 87]}, {\"cell\": \"27.00\", \"bbox\": [339, 79, 359, 87]}, {\"cell\": \"29.65\", \"bbox\": [413, 79, 433, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 79, 507, 87]}, {\"cell\": \"Reticulocyte count, %\", \"bbox\": [1, 88, 69, 97]}, {\"cell\": \"352\", \"bbox\": [130, 88, 144, 97]}, {\"cell\": \"6.07\", \"bbox\": [202, 88, 218, 97]}, {\"cell\": \"2.58\", \"bbox\": [273, 88, 288, 97]}, {\"cell\": \"4.00\", \"bbox\": [343, 88, 359, 97]}, {\"cell\": \"6.00\", \"bbox\": [417, 88, 433, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [492, 88, 507, 97]}, {\"cell\": \"Fetal hemoglobin (Hb), %\", \"bbox\": [1, 98, 79, 106]}, {\"cell\": \"356\", \"bbox\": [130, 98, 144, 106]}, {\"cell\": \"7.39\", \"bbox\": [202, 98, 218, 106]}, {\"cell\": \"6.57\", \"bbox\": [273, 98, 288, 106]}, {\"cell\": \"2.00\", \"bbox\": [343, 98, 359, 106]}, {\"cell\": \"5.35\", \"bbox\": [417, 98, 433, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 98, 507, 106]}, {\"cell\": \"S Hb, %\", \"bbox\": [1, 107, 28, 116]}, {\"cell\": \"356\", \"bbox\": [130, 107, 144, 116]}, {\"cell\": \"72.63\", \"bbox\": [198, 107, 218, 116]}, {\"cell\": \"17.95\", \"bbox\": [269, 107, 288, 116]}, {\"cell\": \"51.32\", \"bbox\": [339, 107, 359, 116]}, {\"cell\": \"81.00\", \"bbox\": [413, 107, 433, 116]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 107, 507, 116]}, {\"cell\": \"Leukocyte count, ×10<sup>9</sup>/mL\", \"bbox\": [1, 116, 83, 125]}, {\"cell\": \"356\", \"bbox\": [130, 117, 144, 125]}, {\"cell\": \"11,955.31\", \"bbox\": [185, 117, 218, 125]}, {\"cell\": \"4,180.38\", \"bbox\": [259, 117, 288, 125]}, {\"cell\": \"8,800.00\", \"bbox\": [329, 117, 359, 125]}, {\"cell\": \"11,450.00\", \"bbox\": [400, 117, 433, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [474, 117, 507, 125]}, {\"cell\": \"Neutrophil count, ×10<sup>9</sup>/mL\", \"bbox\": [1, 126, 83, 135]}, {\"cell\": \"356\", \"bbox\": [130, 126, 144, 135]}, {\"cell\": \"5,891.08\", \"bbox\": [189, 126, 218, 135]}, {\"cell\": \"2,789.25\", \"bbox\": [259, 126, 288, 135]}, {\"cell\": \"3,870.00\", \"bbox\": [329, 126, 359, 135]}, {\"cell\": \"5,357.00\", \"bbox\": [404, 126, 433, 135]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 126, 507, 135]}, {\"cell\": \"Eosinophil count, ×10<sup>9</sup>/mL\", \"bbox\": [1, 135, 83, 144]}, {\"cell\": \"356\", \"bbox\": [130, 136, 144, 144]}, {\"cell\": \"768.17\", \"bbox\": [195, 136, 218, 144]}, {\"cell\": \"712.07\", \"bbox\": [265, 136, 288, 144]}, {\"cell\": \"274.00\", \"bbox\": [335, 136, 359, 144]}, {\"cell\": \"521.50\", \"bbox\": [410, 136, 433, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 136, 507, 144]}, {\"cell\": \"Lymphocyte count, ×10<sup>9</sup>/mL\", \"bbox\": [1, 145, 89, 154]}, {\"cell\": \"356\", \"bbox\": [130, 145, 144, 154]}, {\"cell\": \"4,327.80\", \"bbox\": [189, 145, 218, 154]}, {\"cell\": \"2,027.55\", \"bbox\": [259, 145, 288, 154]}, {\"cell\": \"2,924.50\", \"bbox\": [329, 145, 359, 154]}, {\"cell\": \"3,922.00\", \"bbox\": [404, 145, 433, 154]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 145, 507, 154]}, {\"cell\": \"Monocyte count, ×10<sup>9</sup>/mL\", \"bbox\": [1, 154, 82, 163]}, {\"cell\": \"356\", \"bbox\": [130, 155, 144, 163]}, {\"cell\": \"826.21\", \"bbox\": [195, 155, 218, 163]}, {\"cell\": \"402.89\", \"bbox\": [265, 155, 288, 163]}, {\"cell\": \"537.00\", \"bbox\": [335, 155, 359, 163]}, {\"cell\": \"741.00\", \"bbox\": [410, 155, 433, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [478, 155, 507, 163]}, {\"cell\": \"Platelet count, ×10<sup>3</sup>/μL\", \"bbox\": [1, 164, 72, 173]}, {\"cell\": \"356\", \"bbox\": [130, 164, 144, 173]}, {\"cell\": \"407.21\", \"bbox\": [195, 164, 218, 173]}, {\"cell\": \"158.74\", \"bbox\": [265, 164, 288, 173]}, {\"cell\": \"288.50\", \"bbox\": [335, 164, 359, 173]}, {\"cell\": \"392.00\", \"bbox\": [410, 164, 433, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [484, 164, 507, 173]}, {\"cell\": \"Glucose, mg/dL\", \"bbox\": [1, 174, 51, 182]}, {\"cell\": \"356\", \"bbox\": [130, 174, 144, 182]}, {\"cell\": \"75.14\", \"bbox\": [198, 174, 218, 182]}, {\"cell\": \"19.72\", \"bbox\": [269, 174, 288, 182]}, {\"cell\": \"68.00\", \"bbox\": [339, 174, 359, 182]}, {\"cell\": \"74.00\", \"bbox\": [413, 174, 433, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 174, 507, 182]}, {\"cell\": \"Total cholesterol, mg/dL\", \"bbox\": [1, 183, 75, 192]}, {\"cell\": \"356\", \"bbox\": [130, 183, 144, 192]}, {\"cell\": \"130.25\", \"bbox\": [195, 183, 218, 192]}, {\"cell\": \"28.39\", \"bbox\": [269, 183, 288, 192]}, {\"cell\": \"110.00\", \"bbox\": [335, 183, 359, 192]}, {\"cell\": \"126.50\", \"bbox\": [410, 183, 433, 192]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [484, 183, 507, 192]}, {\"cell\": \"HDL-C, mg/dL\", \"bbox\": [1, 193, 47, 201]}, {\"cell\": \"356\", \"bbox\": [130, 193, 144, 201]}, {\"cell\": \"33.21\", \"bbox\": [198, 193, 218, 201]}, {\"cell\": \"8.73\", \"bbox\": [273, 193, 288, 201]}, {\"cell\": \"27.00\", \"bbox\": [339, 193, 359, 201]}, {\"cell\": \"32.00\", \"bbox\": [413, 193, 433, 201]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 193, 507, 201]}, {\"cell\": \"LDL-C, mg/dL\", \"bbox\": [1, 202, 46, 211]}, {\"cell\": \"356\", \"bbox\": [130, 202, 144, 211]}, {\"cell\": \"77.88\", \"bbox\": [198, 202, 218, 211]}, {\"cell\": \"24.35\", \"bbox\": [269, 202, 288, 211]}, {\"cell\": \"62.00\", \"bbox\": [339, 202, 359, 211]}, {\"cell\": \"76.00\", \"bbox\": [413, 202, 433, 211]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 202, 507, 211]}, {\"cell\": \"VLDL-C, mg/dL\", \"bbox\": [1, 212, 50, 220]}, {\"cell\": \"356\", \"bbox\": [130, 212, 144, 220]}, {\"cell\": \"19.23\", \"bbox\": [198, 212, 218, 220]}, {\"cell\": \"9.73\", \"bbox\": [273, 212, 288, 220]}, {\"cell\": \"13.00\", \"bbox\": [339, 212, 359, 220]}, {\"cell\": \"17.00\", \"bbox\": [413, 212, 433, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 212, 507, 220]}, {\"cell\": \"Triglycerides, mg/dL\", \"bbox\": [1, 221, 63, 230]}, {\"cell\": \"356\", \"bbox\": [130, 221, 144, 230]}, {\"cell\": \"96.18\", \"bbox\": [198, 221, 218, 230]}, {\"cell\": \"48.47\", \"bbox\": [269, 221, 288, 230]}, {\"cell\": \"64.00\", \"bbox\": [339, 221, 359, 230]}, {\"cell\": \"86.50\", \"bbox\": [413, 221, 433, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [484, 221, 507, 230]}, {\"cell\": \"ALT, U/L\", \"bbox\": [1, 231, 28, 239]}, {\"cell\": \"356\", \"bbox\": [130, 231, 144, 239]}, {\"cell\": \"22.99\", \"bbox\": [198, 231, 218, 239]}, {\"cell\": \"14.72\", \"bbox\": [269, 231, 288, 239]}, {\"cell\": \"14.00\", \"bbox\": [339, 231, 359, 239]}, {\"cell\": \"20.00\", \"bbox\": [413, 231, 433, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 231, 507, 239]}, {\"cell\": \"AST, U/L\", \"bbox\": [1, 240, 29, 249]}, {\"cell\": \"356\", \"bbox\": [130, 240, 144, 249]}, {\"cell\": \"47.68\", \"bbox\": [198, 240, 218, 249]}, {\"cell\": \"22.13\", \"bbox\": [269, 240, 288, 249]}, {\"cell\": \"32.00\", \"bbox\": [339, 240, 359, 249]}, {\"cell\": \"43.00\", \"bbox\": [413, 240, 433, 249]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 240, 507, 249]}, {\"cell\": \"Iron serum, mcg/dL\", \"bbox\": [1, 250, 62, 258]}, {\"cell\": \"356\", \"bbox\": [130, 250, 144, 258]}, {\"cell\": \"91.67\", \"bbox\": [198, 250, 218, 258]}, {\"cell\": \"51.02\", \"bbox\": [269, 250, 288, 258]}, {\"cell\": \"60.00\", \"bbox\": [339, 250, 359, 258]}, {\"cell\": \"82.00\", \"bbox\": [413, 250, 433, 258]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [484, 250, 507, 258]}, {\"cell\": \"Ferritin, ηg/mL\", \"bbox\": [1, 259, 46, 268]}, {\"cell\": \"351\", \"bbox\": [130, 259, 144, 268]}, {\"cell\": \"305.68\", \"bbox\": [194, 259, 218, 268]}, {\"cell\": \"458.89\", \"bbox\": [265, 259, 288, 268]}, {\"cell\": \"81.00\", \"bbox\": [339, 259, 359, 268]}, {\"cell\": \"167.20\", \"bbox\": [409, 259, 433, 268]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [484, 259, 507, 268]}, {\"cell\": \"Total bilirubin, mg/dL\", \"bbox\": [1, 269, 65, 277]}, {\"cell\": \"356\", \"bbox\": [130, 269, 144, 277]}, {\"cell\": \"1.99\", \"bbox\": [202, 269, 218, 277]}, {\"cell\": \"1.35\", \"bbox\": [273, 269, 288, 277]}, {\"cell\": \"1.00\", \"bbox\": [343, 269, 359, 277]}, {\"cell\": \"1.90\", \"bbox\": [417, 269, 433, 277]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [492, 269, 507, 277]}, {\"cell\": \"Direct bilirubin, mg/dL\", \"bbox\": [1, 278, 69, 287]}, {\"cell\": \"356\", \"bbox\": [130, 278, 144, 287]}, {\"cell\": \"0.51\", \"bbox\": [202, 278, 218, 287]}, {\"cell\": \"0.47\", \"bbox\": [273, 278, 288, 287]}, {\"cell\": \"0.00\", \"bbox\": [343, 278, 359, 287]}, {\"cell\": \"0.40\", \"bbox\": [417, 278, 433, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [492, 278, 507, 287]}, {\"cell\": \"Indirect bilirubin, mg/dL\", \"bbox\": [1, 288, 73, 296]}, {\"cell\": \"356\", \"bbox\": [130, 288, 144, 296]}, {\"cell\": \"1.49\", \"bbox\": [202, 288, 218, 296]}, {\"cell\": \"1.23\", \"bbox\": [273, 288, 288, 296]}, {\"cell\": \"0.90\", \"bbox\": [343, 288, 359, 296]}, {\"cell\": \"1.00\", \"bbox\": [417, 288, 433, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [492, 288, 507, 296]}, {\"cell\": \"Total protein, g/dL\", \"bbox\": [1, 297, 57, 306]}, {\"cell\": \"356\", \"bbox\": [130, 297, 144, 306]}, {\"cell\": \"7.96\", \"bbox\": [202, 297, 218, 306]}, {\"cell\": \"0.80\", \"bbox\": [273, 297, 288, 306]}, {\"cell\": \"7.50\", \"bbox\": [343, 297, 359, 306]}, {\"cell\": \"8.00\", \"bbox\": [417, 297, 433, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [492, 297, 507, 306]}, {\"cell\": \"Albumin, g/dL\", \"bbox\": [1, 307, 45, 315]}, {\"cell\": \"356\", \"bbox\": [130, 307, 144, 315]}, {\"cell\": \"4.45\", \"bbox\": [202, 307, 218, 315]}, {\"cell\": \"0.54\", \"bbox\": [273, 307, 288, 315]}, {\"cell\": \"4.00\", \"bbox\": [343, 307, 359, 315]}, {\"cell\": \"4.40\", \"bbox\": [417, 307, 433, 315]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [491, 307, 507, 315]}, {\"cell\": \"Globulin, g/dL\", \"bbox\": [1, 316, 45, 325]}, {\"cell\": \"356\", \"bbox\": [130, 316, 144, 325]}, {\"cell\": \"3.54\", \"bbox\": [202, 316, 218, 325]}, {\"cell\": \"0.82\", \"bbox\": [273, 316, 288, 325]}, {\"cell\": \"3.00\", \"bbox\": [343, 316, 359, 325]}, {\"cell\": \"3.55\", \"bbox\": [417, 316, 433, 325]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [491, 316, 507, 325]}, {\"cell\": \"Uric acid, mg/dL\", \"bbox\": [1, 326, 53, 334]}, {\"cell\": \"356\", \"bbox\": [130, 326, 144, 334]}, {\"cell\": \"4.12\", \"bbox\": [202, 326, 218, 334]}, {\"cell\": \"1.27\", \"bbox\": [273, 326, 288, 334]}, {\"cell\": \"3.00\", \"bbox\": [343, 326, 359, 334]}, {\"cell\": \"4.00\", \"bbox\": [417, 326, 433, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [491, 326, 507, 334]}, {\"cell\": \"Urea nitrogen, mg/dL\", \"bbox\": [1, 335, 67, 344]}, {\"cell\": \"356\", \"bbox\": [130, 335, 144, 344]}, {\"cell\": \"18.17\", \"bbox\": [198, 335, 218, 344]}, {\"cell\": \"8.07\", \"bbox\": [273, 335, 288, 344]}, {\"cell\": \"13.00\", \"bbox\": [339, 335, 359, 344]}, {\"cell\": \"17.00\", \"bbox\": [413, 335, 433, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [488, 335, 507, 344]}, {\"cell\": \"Creatinine, mg/dL\", \"bbox\": [1, 345, 56, 353]}, {\"cell\": \"354\", \"bbox\": [130, 345, 144, 353]}, {\"cell\": \"0.54\", \"bbox\": [202, 345, 218, 353]}, {\"cell\": \"0.51\", \"bbox\": [273, 345, 288, 353]}, {\"cell\": \"0.00\", \"bbox\": [343, 345, 359, 353]}, {\"cell\": \"1.00\", \"bbox\": [417, 345, 433, 353]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [491, 345, 507, 353]}, {\"cell\": \"C-reactive protein, mg/L\", \"bbox\": [1, 354, 76, 363]}, {\"cell\": \"353\", \"bbox\": [130, 354, 144, 363]}, {\"cell\": \"6.74\", \"bbox\": [202, 354, 218, 363]}, {\"cell\": \"9.57\", \"bbox\": [273, 354, 288, 363]}, {\"cell\": \"2.47\", \"bbox\": [343, 354, 359, 363]}, {\"cell\": \"4.00\", \"bbox\": [417, 354, 433, 363]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [491, 354, 507, 363]}, {\"cell\": \"Antistreptolysin-O, UI/mL\", \"bbox\": [1, 364, 78, 372]}, {\"cell\": \"353\", \"bbox\": [130, 364, 144, 372]}, {\"cell\": \"177.68\", \"bbox\": [194, 364, 218, 372]}, {\"cell\": \"339.38\", \"bbox\": [265, 364, 288, 372]}, {\"cell\": \"28.50\", \"bbox\": [339, 364, 359, 372]}, {\"cell\": \"80.00\", \"bbox\": [413, 364, 433, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [484, 364, 507, 372]}, {\"cell\": \"Haptoglobin, mg/dL\", \"bbox\": [1, 373, 63, 382]}, {\"cell\": \"353\", \"bbox\": [130, 373, 144, 382]}, {\"cell\": \"8.82\", \"bbox\": [202, 373, 218, 382]}, {\"cell\": \"15.75\", \"bbox\": [269, 373, 288, 382]}, {\"cell\": \"5.83\", \"bbox\": [343, 373, 359, 382]}, {\"cell\": \"6.00\", \"bbox\": [417, 373, 433, 382]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [491, 373, 507, 382]}, {\"cell\": \"LDH, U/L\", \"bbox\": [0, 383, 31, 391]}, {\"cell\": \"356\", \"bbox\": [130, 383, 144, 391]}, {\"cell\": \"964.05\", \"bbox\": [194, 383, 218, 391]}, {\"cell\": \"531.42\", \"bbox\": [265, 383, 288, 391]}, {\"cell\": \"597.25\", \"bbox\": [335, 383, 359, 391]}, {\"cell\": \"855.00\", \"bbox\": [409, 383, 433, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [480, 383, 507, 391]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5681845_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}946{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Phase 1</b></td><td colspan=\\\"2\\\"><b>Phase 2</b></td></tr><tr><td><b>Semi-structured interview<i>n</i> = 15</b></td><td><b>Structured interview<i>n</i> = 8</b></td><td><b>Focus group A<i>n</i> = 7</b></td><td><b>Focus group B<i>n</i> = 6</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>71.3 (13.3)</td><td>72.5 (8.8)</td><td>69.3 (9.2)</td><td>69.2 (10.3)</td></tr><tr><td>[EMPTY_CELL]</td><td>(46-89)</td><td>(60-83)</td><td>(52-81)</td><td>(57-82)</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>8 (53 %)</td><td>7 (88 %)</td><td>2 (29 %)</td><td>4 (67 %)</td></tr><tr><td colspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>9 (60 %)</td><td>3 (38 %)</td><td>4 (57 %)</td><td>4 (60 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>4 PT (27 %)2 No regular PT (13 %)9 Daycare (60 %)</td><td>3 PT (38 %)5 Daycare (62 %)</td><td>2 PT (29 %)4 No regular PT (57 %)1 Daycare (14 %)</td><td>2 PT (33 %)2 No regular PT (33 %)2 Daycare (33 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>5 FAC3 (33 %)1 FAC4 (7 %)9 FAC 5 (60 %)</td><td>3 FAC3 (38 %)3 FAC4 (38 %)2 FAC5 (24 %)</td><td>2 FAC4 (29 %)5 FAC5 (71 %)</td><td>2 FAC4 (33 %)4 FAC5 (67 %)</td></tr><tr><td>[EMPTY_CELL]</td><td>1 cane (7 %)7 rollator (46 %)</td><td>2 cane (25 %)3 rollator (38 %)</td><td>2 cane (29 %)</td><td>2 cane (33 %)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Phase 1</b>\", \"bbox\": [120, 4, 147, 13]}, {\"cell\": \"<b>Phase 2</b>\", \"bbox\": [314, 4, 340, 13]}, {\"cell\": \"<b>Semi-structured interview<i>n</i> = 15</b>\", \"bbox\": [120, 17, 204, 36]}, {\"cell\": \"<b>Structured interview<i>n</i> = 8</b>\", \"bbox\": [226, 17, 292, 36]}, {\"cell\": \"<b>Focus group A<i>n</i> = 7</b>\", \"bbox\": [314, 17, 363, 36]}, {\"cell\": \"<b>Focus group B<i>n</i> = 6</b>\", \"bbox\": [410, 17, 458, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 39, 25, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 53, 44, 63]}, {\"cell\": \"71.3 (13.3)\", \"bbox\": [120, 53, 154, 63]}, {\"cell\": \"72.5 (8.8)\", \"bbox\": [226, 53, 256, 63]}, {\"cell\": \"69.3 (9.2)\", \"bbox\": [314, 53, 344, 63]}, {\"cell\": \"69.2 (10.3)\", \"bbox\": [410, 53, 444, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 67, 30, 77]}, {\"cell\": \"(46-89)\", \"bbox\": [120, 67, 144, 77]}, {\"cell\": \"(60-83)\", \"bbox\": [226, 67, 249, 77]}, {\"cell\": \"(52-81)\", \"bbox\": [314, 67, 338, 77]}, {\"cell\": \"(57-82)\", \"bbox\": [410, 67, 434, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 81, 26, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 95, 38, 105]}, {\"cell\": \"8 (53 %)\", \"bbox\": [120, 95, 148, 105]}, {\"cell\": \"7 (88 %)\", \"bbox\": [226, 95, 254, 105]}, {\"cell\": \"2 (29 %)\", \"bbox\": [314, 95, 342, 105]}, {\"cell\": \"4 (67 %)\", \"bbox\": [410, 95, 438, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 109, 45, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 123, 47, 133]}, {\"cell\": \"9 (60 %)\", \"bbox\": [120, 123, 148, 133]}, {\"cell\": \"3 (38 %)\", \"bbox\": [226, 123, 254, 133]}, {\"cell\": \"4 (57 %)\", \"bbox\": [314, 123, 342, 133]}, {\"cell\": \"4 (60 %)\", \"bbox\": [410, 123, 438, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 137, 99, 147]}, {\"cell\": \"4 PT (27 %)2 No regular PT (13 %)9 Daycare (60 %)\", \"bbox\": [120, 137, 195, 165]}, {\"cell\": \"3 PT (38 %)5 Daycare (62 %)\", \"bbox\": [226, 137, 282, 156]}, {\"cell\": \"2 PT (29 %)4 No regular PT (57 %)1 Daycare (14 %)\", \"bbox\": [314, 137, 388, 165]}, {\"cell\": \"2 PT (33 %)2 No regular PT (33 %)2 Daycare (33 %)\", \"bbox\": [410, 137, 484, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 169, 28, 179]}, {\"cell\": \"5 FAC3 (33 %)1 FAC4 (7 %)9 FAC 5 (60 %)\", \"bbox\": [120, 169, 170, 197]}, {\"cell\": \"3 FAC3 (38 %)3 FAC4 (38 %)2 FAC5 (24 %)\", \"bbox\": [226, 169, 273, 197]}, {\"cell\": \"2 FAC4 (29 %)5 FAC5 (71 %)\", \"bbox\": [314, 169, 361, 188]}, {\"cell\": \"2 FAC4 (33 %)4 FAC5 (67 %)\", \"bbox\": [410, 169, 457, 188]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 201, 75, 211]}, {\"cell\": \"1 cane (7 %)7 rollator (46 %)\", \"bbox\": [120, 201, 173, 220]}, {\"cell\": \"2 cane (25 %)3 rollator (38 %)\", \"bbox\": [226, 201, 279, 220]}, {\"cell\": \"2 cane (29 %)\", \"bbox\": [314, 201, 360, 211]}, {\"cell\": \"2 cane (33 %)\", \"bbox\": [410, 201, 456, 211]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4986174_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}947{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Concepts & Categories</b></td><td>[EMPTY_CELL]</td><td><b>Children</b></td><td>[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>Adults</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Total (Children/Adults)</b></td><td><b>Haemo-QoL</b></td><td><b>Total Adults</b></td><td><b>Haem-A-QoL</b></td><td><b>MedTap</b></td><td><b>Hemo-Sat<sub>A</sub></b></td><td><b>HEP-Test-Q</b></td></tr></thead><tbody><tr><td><b>number of items</b></td><td><b>224</b></td><td><b>77</b></td><td><b>147</b></td><td><b>46</b></td><td><b>41</b></td><td>[EMPTY_CELL]</td><td><b>26</b></td></tr><tr><td><b>number of meaningful concepts (total)</b></td><td><b>365</b></td><td><b>123</b></td><td><b>242</b></td><td><b>83</b></td><td><b>62</b></td><td>[EMPTY_CELL]</td><td><b>35</b></td></tr><tr><td><b>concepts linked to the ICF (Percentage)*</b></td><td><b>283 (78%)</b></td><td><b>83 (67%)</b></td><td><b>200 (83%)</b></td><td><b>60 (72%)</b></td><td><b>51 (82%)</b></td><td>[EMPTY_CELL]</td><td><b>30 (86%)</b></td></tr><tr><td><b>concepts not linked to the ICF (total number)**</b></td><td><b>82 (22%)</b></td><td><b>40 (33%)</b></td><td><b>42 (17%)</b></td><td><b>23 (28%)</b></td><td><b>11 (18%)</b></td><td>[EMPTY_CELL]</td><td><b>5 (14%)</b></td></tr><tr><td><b>ICF/ICF-CY categories used for linkage (total number)</b></td><td><b>70</b></td><td><b>39</b></td><td><b>54</b></td><td><b>25</b></td><td><b>27</b></td><td>[EMPTY_CELL]</td><td><b>18</b></td></tr><tr><td colspan=\\\"8\\\"><b>for level of ICF hierarchy</b></td></tr><tr><td>1st level</td><td>8</td><td>4</td><td>7</td><td>2</td><td>3</td><td>[EMPTY_CELL]</td><td>2</td></tr><tr><td>2nd level</td><td>33</td><td>22</td><td>21</td><td>10</td><td>11</td><td>[EMPTY_CELL]</td><td>6</td></tr><tr><td>3rd level</td><td>28</td><td>12</td><td>25</td><td>12</td><td>13</td><td>[EMPTY_CELL]</td><td>10</td></tr><tr><td>4th level</td><td>1</td><td>1</td><td>1</td><td>1</td><td>-</td><td>[EMPTY_CELL]</td><td>-</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Concepts & Categories</b>\", \"bbox\": [1, 4, 81, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Children</b>\", \"bbox\": [224, 4, 255, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Adults</b>\", \"bbox\": [382, 4, 406, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Total (Children/Adults)</b>\", \"bbox\": [154, 17, 210, 36]}, {\"cell\": \"<b>Haemo-QoL</b>\", \"bbox\": [218, 17, 261, 27]}, {\"cell\": \"<b>Total Adults</b>\", \"bbox\": [271, 17, 295, 36]}, {\"cell\": \"<b>Haem-A-QoL</b>\", \"bbox\": [304, 17, 350, 27]}, {\"cell\": \"<b>MedTap</b>\", \"bbox\": [354, 17, 384, 27]}, {\"cell\": \"<b>Hemo-Sat<sub>A</sub></b>\", \"bbox\": [391, 17, 431, 27]}, {\"cell\": \"<b>HEP-Test-Q</b>\", \"bbox\": [441, 17, 482, 27]}, {\"cell\": \"<b>number of items</b>\", \"bbox\": [1, 39, 61, 49]}, {\"cell\": \"<b>224</b>\", \"bbox\": [175, 39, 189, 49]}, {\"cell\": \"<b>77</b>\", \"bbox\": [234, 39, 245, 49]}, {\"cell\": \"<b>147</b>\", \"bbox\": [275, 39, 290, 49]}, {\"cell\": \"<b>46</b>\", \"bbox\": [322, 39, 332, 49]}, {\"cell\": \"<b>41</b>\", \"bbox\": [364, 39, 374, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 39, 416, 49]}, {\"cell\": \"<b>26</b>\", \"bbox\": [456, 39, 466, 49]}, {\"cell\": \"<b>number of meaningful concepts (total)</b>\", \"bbox\": [1, 53, 138, 62]}, {\"cell\": \"<b>365</b>\", \"bbox\": [175, 53, 189, 62]}, {\"cell\": \"<b>123</b>\", \"bbox\": [232, 53, 247, 62]}, {\"cell\": \"<b>242</b>\", \"bbox\": [275, 53, 290, 62]}, {\"cell\": \"<b>83</b>\", \"bbox\": [322, 53, 332, 62]}, {\"cell\": \"<b>62</b>\", \"bbox\": [364, 53, 374, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 53, 416, 62]}, {\"cell\": \"<b>35</b>\", \"bbox\": [456, 53, 466, 62]}, {\"cell\": \"<b>concepts linked to the ICF (Percentage)*</b>\", \"bbox\": [1, 66, 144, 75]}, {\"cell\": \"<b>283 (78%)</b>\", \"bbox\": [164, 66, 201, 75]}, {\"cell\": \"<b>83 (67%)</b>\", \"bbox\": [223, 66, 256, 75]}, {\"cell\": \"<b>200 (83%)</b>\", \"bbox\": [272, 66, 293, 84]}, {\"cell\": \"<b>60 (72%)</b>\", \"bbox\": [311, 66, 343, 75]}, {\"cell\": \"<b>51 (82%)</b>\", \"bbox\": [358, 66, 380, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [395, 66, 427, 75]}, {\"cell\": \"<b>30 (86%)</b>\", \"bbox\": [445, 66, 478, 75]}, {\"cell\": \"<b>concepts not linked to the ICF (total number)**</b>\", \"bbox\": [1, 88, 129, 106]}, {\"cell\": \"<b>82 (22%)</b>\", \"bbox\": [166, 88, 199, 97]}, {\"cell\": \"<b>40 (33%)</b>\", \"bbox\": [223, 88, 256, 97]}, {\"cell\": \"<b>42 (17%)</b>\", \"bbox\": [266, 88, 299, 97]}, {\"cell\": \"<b>23 (28%)</b>\", \"bbox\": [311, 88, 343, 97]}, {\"cell\": \"<b>11 (18%)</b>\", \"bbox\": [358, 88, 380, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [399, 88, 423, 97]}, {\"cell\": \"<b>5 (14%)</b>\", \"bbox\": [447, 88, 476, 97]}, {\"cell\": \"<b>ICF/ICF-CY categories used for linkage (total number)</b>\", \"bbox\": [1, 110, 136, 129]}, {\"cell\": \"<b>70</b>\", \"bbox\": [177, 110, 187, 120]}, {\"cell\": \"<b>39</b>\", \"bbox\": [234, 110, 245, 120]}, {\"cell\": \"<b>54</b>\", \"bbox\": [277, 110, 288, 120]}, {\"cell\": \"<b>25</b>\", \"bbox\": [322, 110, 332, 120]}, {\"cell\": \"<b>27</b>\", \"bbox\": [364, 110, 374, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [406, 110, 416, 120]}, {\"cell\": \"<b>18</b>\", \"bbox\": [456, 110, 466, 120]}, {\"cell\": \"<b>for level of ICF hierarchy</b>\", \"bbox\": [1, 132, 89, 142]}, {\"cell\": \"1st level\", \"bbox\": [1, 146, 29, 153]}, {\"cell\": \"8\", \"bbox\": [179, 146, 185, 153]}, {\"cell\": \"4\", \"bbox\": [236, 146, 242, 153]}, {\"cell\": \"7\", \"bbox\": [280, 146, 285, 153]}, {\"cell\": \"2\", \"bbox\": [324, 146, 330, 153]}, {\"cell\": \"3\", \"bbox\": [366, 146, 372, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 146, 413, 153]}, {\"cell\": \"2\", \"bbox\": [458, 146, 464, 153]}, {\"cell\": \"2nd level\", \"bbox\": [1, 159, 32, 166]}, {\"cell\": \"33\", \"bbox\": [177, 159, 187, 166]}, {\"cell\": \"22\", \"bbox\": [235, 159, 244, 166]}, {\"cell\": \"21\", \"bbox\": [278, 159, 287, 166]}, {\"cell\": \"10\", \"bbox\": [322, 159, 332, 166]}, {\"cell\": \"11\", \"bbox\": [364, 159, 374, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 159, 414, 166]}, {\"cell\": \"6\", \"bbox\": [458, 159, 464, 166]}, {\"cell\": \"3rd level\", \"bbox\": [1, 172, 30, 180]}, {\"cell\": \"28\", \"bbox\": [177, 172, 187, 180]}, {\"cell\": \"12\", \"bbox\": [235, 172, 244, 180]}, {\"cell\": \"25\", \"bbox\": [278, 172, 287, 180]}, {\"cell\": \"12\", \"bbox\": [322, 172, 332, 180]}, {\"cell\": \"13\", \"bbox\": [364, 172, 374, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [408, 172, 414, 180]}, {\"cell\": \"10\", \"bbox\": [456, 172, 466, 180]}, {\"cell\": \"4th level\", \"bbox\": [1, 185, 30, 193]}, {\"cell\": \"1\", \"bbox\": [179, 185, 185, 193]}, {\"cell\": \"1\", \"bbox\": [236, 185, 242, 193]}, {\"cell\": \"1\", \"bbox\": [280, 185, 285, 193]}, {\"cell\": \"1\", \"bbox\": [324, 185, 330, 193]}, {\"cell\": \"-\", \"bbox\": [367, 185, 371, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [409, 185, 413, 193]}, {\"cell\": \"-\", \"bbox\": [459, 185, 463, 193]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3022566_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}948{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\"><b>Javanese Surinamese (n = 197)</b></td><td rowspan=\\\"2\\\"><b>South-Asian Surinamese (n = 2738)</b></td><td colspan=\\\"2\\\"><b>Differences between ethnic groups Adjusted for age and sex: Javanese Surinamese were taken as a reference group</b></td></tr><tr><td><b>OR</b></td><td><b>95% CI</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>39.1</td><td>38.4</td><td>0.95</td><td>0.70–1.27</td></tr><tr><td>[EMPTY_CELL]</td><td>32.5</td><td>37.7</td><td>1.31</td><td>0.95–1.78</td></tr><tr><td>[EMPTY_CELL]</td><td>56.9**</td><td>70.1</td><td>2.20</td><td>1.60–3.02</td></tr><tr><td>[EMPTY_CELL]</td><td>74.6**</td><td>83.8</td><td>2.44</td><td>1.66–3.57</td></tr><tr><td>[EMPTY_CELL]</td><td>7.7**</td><td>17.2</td><td>2.55</td><td>1.48–4.35</td></tr><tr><td>[EMPTY_CELL]</td><td>8.2**</td><td>18.7</td><td>2.77</td><td>1.67–4.60</td></tr><tr><td>[EMPTY_CELL]</td><td>37.8</td><td>42.4</td><td>1.28</td><td>0.91–1.79</td></tr><tr><td>[EMPTY_CELL]</td><td>41.1</td><td>39.5</td><td>0.94</td><td>0.70–1.26</td></tr><tr><td>[EMPTY_CELL]</td><td>32.8</td><td>36.9</td><td>1.18</td><td>0.86–1.62</td></tr><tr><td>[EMPTY_CELL]</td><td>26.9**</td><td>41.2</td><td>1.89</td><td>1.34–2.65</td></tr><tr><td>[EMPTY_CELL]</td><td>13.7</td><td>9.6</td><td>0.64</td><td>0.41–0.99</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Javanese Surinamese (n = 197)</b>\", \"bbox\": [168, 4, 211, 32]}, {\"cell\": \"<b>South-Asian Surinamese (n = 2738)</b>\", \"bbox\": [232, 4, 276, 32]}, {\"cell\": \"<b>Differences between ethnic groups Adjusted for age and sex: Javanese Surinamese were taken as a reference group</b>\", \"bbox\": [298, 4, 479, 32]}, {\"cell\": \"<b>OR</b>\", \"bbox\": [298, 38, 310, 48]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [451, 38, 476, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 56, 97, 66]}, {\"cell\": \"39.1\", \"bbox\": [168, 56, 183, 66]}, {\"cell\": \"38.4\", \"bbox\": [232, 56, 247, 66]}, {\"cell\": \"0.95\", \"bbox\": [298, 56, 313, 66]}, {\"cell\": \"0.70–1.27\", \"bbox\": [451, 56, 483, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 84, 78]}, {\"cell\": \"32.5\", \"bbox\": [168, 68, 183, 78]}, {\"cell\": \"37.7\", \"bbox\": [232, 68, 247, 78]}, {\"cell\": \"1.31\", \"bbox\": [298, 68, 313, 78]}, {\"cell\": \"0.95–1.78\", \"bbox\": [451, 68, 483, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 80, 152, 90]}, {\"cell\": \"56.9**\", \"bbox\": [168, 80, 190, 90]}, {\"cell\": \"70.1\", \"bbox\": [232, 80, 247, 90]}, {\"cell\": \"2.20\", \"bbox\": [298, 80, 313, 90]}, {\"cell\": \"1.60–3.02\", \"bbox\": [451, 80, 483, 90]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 92, 145, 102]}, {\"cell\": \"74.6**\", \"bbox\": [168, 92, 190, 102]}, {\"cell\": \"83.8\", \"bbox\": [232, 92, 247, 102]}, {\"cell\": \"2.44\", \"bbox\": [298, 92, 313, 102]}, {\"cell\": \"1.66–3.57\", \"bbox\": [451, 92, 483, 102]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 105, 76, 114]}, {\"cell\": \"7.7**\", \"bbox\": [172, 105, 190, 114]}, {\"cell\": \"17.2\", \"bbox\": [232, 105, 247, 114]}, {\"cell\": \"2.55\", \"bbox\": [298, 105, 313, 114]}, {\"cell\": \"1.48–4.35\", \"bbox\": [451, 105, 483, 114]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 117, 31, 126]}, {\"cell\": \"8.2**\", \"bbox\": [172, 117, 190, 126]}, {\"cell\": \"18.7\", \"bbox\": [232, 117, 247, 126]}, {\"cell\": \"2.77\", \"bbox\": [298, 117, 313, 126]}, {\"cell\": \"1.67–4.60\", \"bbox\": [451, 117, 483, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 46, 138]}, {\"cell\": \"37.8\", \"bbox\": [168, 129, 183, 138]}, {\"cell\": \"42.4\", \"bbox\": [232, 129, 247, 138]}, {\"cell\": \"1.28\", \"bbox\": [298, 129, 313, 138]}, {\"cell\": \"0.91–1.79\", \"bbox\": [451, 129, 483, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 141, 71, 150]}, {\"cell\": \"41.1\", \"bbox\": [168, 141, 183, 150]}, {\"cell\": \"39.5\", \"bbox\": [232, 141, 247, 150]}, {\"cell\": \"0.94\", \"bbox\": [298, 141, 313, 150]}, {\"cell\": \"0.70–1.26\", \"bbox\": [451, 141, 483, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 153, 32, 162]}, {\"cell\": \"32.8\", \"bbox\": [168, 153, 183, 162]}, {\"cell\": \"36.9\", \"bbox\": [232, 153, 247, 162]}, {\"cell\": \"1.18\", \"bbox\": [298, 153, 313, 162]}, {\"cell\": \"0.86–1.62\", \"bbox\": [451, 153, 483, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 165, 31, 175]}, {\"cell\": \"26.9**\", \"bbox\": [168, 165, 190, 175]}, {\"cell\": \"41.2\", \"bbox\": [232, 165, 247, 175]}, {\"cell\": \"1.89\", \"bbox\": [298, 165, 313, 175]}, {\"cell\": \"1.34–2.65\", \"bbox\": [451, 165, 483, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 177, 59, 187]}, {\"cell\": \"13.7\", \"bbox\": [168, 177, 183, 187]}, {\"cell\": \"9.6\", \"bbox\": [236, 177, 247, 187]}, {\"cell\": \"0.64\", \"bbox\": [298, 177, 313, 187]}, {\"cell\": \"0.41–0.99\", \"bbox\": [451, 177, 483, 187]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5219699_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}949{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>With a history of cancer</b></td><td colspan=\\\"2\\\"><b>Without a history of cancer</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>%</td><td>N</td><td>%</td></tr><tr><td>Total N</td><td>[EMPTY_CELL]</td><td>100.0</td><td>2814</td><td>100.0</td></tr><tr><td>Age (y) at diagnosis<sup>b</sup></td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td> Mean (SD)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\">63.3 (15.4)</td></tr><tr><td> Median (range)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\">64 (19–103)</td></tr><tr><td>Male</td><td>[EMPTY_CELL]</td><td>49.7</td><td>1540</td><td>54.7</td></tr><tr><td>Born in Denmark</td><td>[EMPTY_CELL]</td><td>97.8</td><td>2727</td><td>96.9</td></tr><tr><td>Site of metastasis<sup>b</sup></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Skin</td><td>[EMPTY_CELL]</td><td>33.8</td><td>1527</td><td>54.3</td></tr><tr><td> Soft tissue</td><td>[EMPTY_CELL]</td><td>4.2</td><td>166</td><td>5.9</td></tr><tr><td> Liver</td><td>[EMPTY_CELL]</td><td>25.1</td><td>115</td><td>4.1</td></tr><tr><td> Lung</td><td>[EMPTY_CELL]</td><td>4.1</td><td>89</td><td>3.2</td></tr><tr><td> GI Tract</td><td>[EMPTY_CELL]</td><td>4.4</td><td>64</td><td>2.3</td></tr><tr><td> Brain</td><td>[EMPTY_CELL]</td><td>4.1</td><td>59</td><td>2.1</td></tr><tr><td> Bone</td><td>[EMPTY_CELL]</td><td>1.9</td><td>39</td><td>1.4</td></tr><tr><td> Salivary gland</td><td>[EMPTY_CELL]</td><td>1.4</td><td>34</td><td>1.2</td></tr><tr><td> Mamma</td><td>[EMPTY_CELL]</td><td>1.2</td><td>28</td><td>1.0</td></tr><tr><td> Cytology, pleura</td><td>[EMPTY_CELL]</td><td>0.5</td><td>17</td><td>0.6</td></tr><tr><td> Mucous membrane</td><td>[EMPTY_CELL]</td><td>0.7</td><td>6</td><td>0.2</td></tr><tr><td> Gallbladder/Pancreas</td><td>[EMPTY_CELL]</td><td>0.2</td><td>5</td><td>0.2</td></tr><tr><td> Vulva</td><td>[EMPTY_CELL]</td><td>0.5</td><td>5</td><td>0.2</td></tr><tr><td> Unspecified or unknown</td><td>[EMPTY_CELL]</td><td>17.9</td><td>660</td><td>23.5</td></tr><tr><td>Death<sup>b</sup></td><td>[EMPTY_CELL]</td><td>87.6</td><td>2093</td><td>74.4</td></tr><tr><td> Time (mo) to death<sup>b</sup>, Median (range)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"2\\\">9.7 (0–176)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>With a history of cancer</b>\", \"bbox\": [100, 4, 155, 22]}, {\"cell\": \"<b>Without a history of cancer</b>\", \"bbox\": [172, 4, 230, 22]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 26, 107, 36]}, {\"cell\": \"%\", \"bbox\": [134, 26, 141, 36]}, {\"cell\": \"N\", \"bbox\": [172, 26, 180, 36]}, {\"cell\": \"%\", \"bbox\": [209, 26, 217, 36]}, {\"cell\": \"Total N\", \"bbox\": [1, 40, 25, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 40, 113, 50]}, {\"cell\": \"100.0\", \"bbox\": [134, 40, 152, 50]}, {\"cell\": \"2814\", \"bbox\": [172, 40, 190, 50]}, {\"cell\": \"100.0\", \"bbox\": [209, 40, 228, 50]}, {\"cell\": \"Age (y) at diagnosis<sup>b</sup>\", \"bbox\": [1, 52, 69, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Mean (SD)\", \"bbox\": [8, 68, 44, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 68, 134, 78]}, {\"cell\": \"63.3 (15.4)\", \"bbox\": [172, 68, 207, 78]}, {\"cell\": \" Median (range)\", \"bbox\": [8, 82, 59, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 82, 135, 92]}, {\"cell\": \"64 (19–103)\", \"bbox\": [172, 82, 212, 92]}, {\"cell\": \"Male\", \"bbox\": [0, 96, 18, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 96, 113, 106]}, {\"cell\": \"49.7\", \"bbox\": [134, 96, 148, 106]}, {\"cell\": \"1540\", \"bbox\": [172, 96, 190, 106]}, {\"cell\": \"54.7\", \"bbox\": [209, 96, 224, 106]}, {\"cell\": \"Born in Denmark\", \"bbox\": [0, 110, 57, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 110, 113, 120]}, {\"cell\": \"97.8\", \"bbox\": [134, 110, 148, 120]}, {\"cell\": \"2727\", \"bbox\": [172, 110, 190, 120]}, {\"cell\": \"96.9\", \"bbox\": [209, 110, 224, 120]}, {\"cell\": \"Site of metastasis<sup>b</sup>\", \"bbox\": [0, 122, 61, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Skin\", \"bbox\": [8, 138, 23, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 138, 113, 148]}, {\"cell\": \"33.8\", \"bbox\": [134, 138, 148, 148]}, {\"cell\": \"1527\", \"bbox\": [172, 138, 190, 148]}, {\"cell\": \"54.3\", \"bbox\": [209, 138, 224, 148]}, {\"cell\": \" Soft tissue\", \"bbox\": [8, 152, 43, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 152, 110, 162]}, {\"cell\": \"4.2\", \"bbox\": [134, 152, 145, 162]}, {\"cell\": \"166\", \"bbox\": [172, 152, 186, 162]}, {\"cell\": \"5.9\", \"bbox\": [209, 152, 220, 162]}, {\"cell\": \" Liver\", \"bbox\": [8, 166, 25, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 166, 113, 176]}, {\"cell\": \"25.1\", \"bbox\": [134, 166, 148, 176]}, {\"cell\": \"115\", \"bbox\": [172, 166, 186, 176]}, {\"cell\": \"4.1\", \"bbox\": [209, 166, 220, 176]}, {\"cell\": \" Lung\", \"bbox\": [8, 180, 27, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 180, 110, 190]}, {\"cell\": \"4.1\", \"bbox\": [134, 180, 145, 190]}, {\"cell\": \"89\", \"bbox\": [172, 180, 182, 190]}, {\"cell\": \"3.2\", \"bbox\": [209, 180, 220, 190]}, {\"cell\": \" GI Tract\", \"bbox\": [8, 194, 35, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 194, 110, 204]}, {\"cell\": \"4.4\", \"bbox\": [134, 194, 145, 204]}, {\"cell\": \"64\", \"bbox\": [172, 194, 182, 204]}, {\"cell\": \"2.3\", \"bbox\": [209, 194, 220, 204]}, {\"cell\": \" Brain\", \"bbox\": [8, 208, 26, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 208, 110, 218]}, {\"cell\": \"4.1\", \"bbox\": [134, 208, 145, 218]}, {\"cell\": \"59\", \"bbox\": [172, 208, 182, 218]}, {\"cell\": \"2.1\", \"bbox\": [209, 208, 220, 218]}, {\"cell\": \" Bone\", \"bbox\": [8, 222, 27, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 222, 110, 232]}, {\"cell\": \"1.9\", \"bbox\": [134, 222, 145, 232]}, {\"cell\": \"39\", \"bbox\": [172, 222, 182, 232]}, {\"cell\": \"1.4\", \"bbox\": [209, 222, 220, 232]}, {\"cell\": \" Salivary gland\", \"bbox\": [8, 236, 55, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 236, 110, 246]}, {\"cell\": \"1.4\", \"bbox\": [134, 236, 145, 246]}, {\"cell\": \"34\", \"bbox\": [172, 236, 182, 246]}, {\"cell\": \"1.2\", \"bbox\": [209, 236, 220, 246]}, {\"cell\": \" Mamma\", \"bbox\": [8, 250, 37, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 250, 110, 260]}, {\"cell\": \"1.2\", \"bbox\": [134, 250, 145, 260]}, {\"cell\": \"28\", \"bbox\": [172, 250, 182, 260]}, {\"cell\": \"1.0\", \"bbox\": [209, 250, 220, 260]}, {\"cell\": \" Cytology, pleura\", \"bbox\": [8, 264, 62, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 264, 106, 274]}, {\"cell\": \"0.5\", \"bbox\": [134, 264, 145, 274]}, {\"cell\": \"17\", \"bbox\": [172, 264, 182, 274]}, {\"cell\": \"0.6\", \"bbox\": [209, 264, 220, 274]}, {\"cell\": \" Mucous membrane\", \"bbox\": [8, 278, 73, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 278, 106, 288]}, {\"cell\": \"0.7\", \"bbox\": [134, 278, 145, 288]}, {\"cell\": \"6\", \"bbox\": [172, 278, 178, 288]}, {\"cell\": \"0.2\", \"bbox\": [209, 278, 220, 288]}, {\"cell\": \" Gallbladder/Pancreas\", \"bbox\": [8, 292, 77, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 292, 106, 302]}, {\"cell\": \"0.2\", \"bbox\": [134, 292, 145, 302]}, {\"cell\": \"5\", \"bbox\": [172, 292, 178, 302]}, {\"cell\": \"0.2\", \"bbox\": [209, 292, 220, 302]}, {\"cell\": \" Vulva\", \"bbox\": [8, 306, 27, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 306, 106, 316]}, {\"cell\": \"0.5\", \"bbox\": [134, 306, 145, 316]}, {\"cell\": \"5\", \"bbox\": [172, 306, 178, 316]}, {\"cell\": \"0.2\", \"bbox\": [209, 306, 220, 316]}, {\"cell\": \" Unspecified or unknown\", \"bbox\": [8, 320, 89, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 320, 113, 330]}, {\"cell\": \"17.9\", \"bbox\": [134, 320, 148, 330]}, {\"cell\": \"660\", \"bbox\": [172, 320, 186, 330]}, {\"cell\": \"23.5\", \"bbox\": [209, 320, 224, 330]}, {\"cell\": \"Death<sup>b</sup>\", \"bbox\": [0, 332, 25, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 334, 113, 344]}, {\"cell\": \"87.6\", \"bbox\": [134, 334, 148, 344]}, {\"cell\": \"2093\", \"bbox\": [172, 334, 190, 344]}, {\"cell\": \"74.4\", \"bbox\": [209, 334, 224, 344]}, {\"cell\": \" Time (mo) to death<sup>b</sup>, Median (range)\", \"bbox\": [8, 346, 78, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 348, 137, 358]}, {\"cell\": \"9.7 (0–176)\", \"bbox\": [172, 348, 209, 358]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4855796_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}950{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td colspan=\\\"6\\\"><b>Cox proportional hazard regression</b></td></tr><tr><td colspan=\\\"3\\\"><b>Lymph node negative (n=121)</b></td><td colspan=\\\"3\\\"><b>Lymph node positive (n=90)</b></td></tr><tr><td><b>HR</b></td><td><b>95% CI</b></td><td><b><i>P </i>value</b></td><td><b>HR</b></td><td><b>95% CI</b></td><td><b><i>P </i>value</b></td></tr></thead><tbody><tr><td>Recurrence</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>ER/PR negativity<sup>a</sup></td><td>2.06</td><td>0.80-5.31</td><td>0.136</td><td>0.62</td><td>[EMPTY_CELL]</td><td>0.202</td></tr><tr><td>Age</td><td>1.01</td><td>0.96-1.05</td><td>0.788</td><td>1.01</td><td>[EMPTY_CELL]</td><td>0.582</td></tr><tr><td>BMI</td><td>0.95</td><td>0.84-1.08</td><td>0.450</td><td>1.02</td><td>[EMPTY_CELL]</td><td>0.703</td></tr><tr><td>Combined therapy<sup>b</sup></td><td>2.02</td><td>0.83-4.93</td><td>0.120</td><td>2.12</td><td>[EMPTY_CELL]</td><td>0.107</td></tr><tr><td><i>APOA1</i> rs670 A/A<sup>c</sup></td><td>4.98</td><td>1.40-17.70</td><td><b>0</b>.<b>013</b></td><td>2.46</td><td>[EMPTY_CELL]</td><td>0.093</td></tr><tr><td>Mortality</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>ER/PR negativity<sup>a</sup></td><td>0.24</td><td>0.05-1.08</td><td>0.064</td><td>0.52</td><td>[EMPTY_CELL]</td><td>0.118</td></tr><tr><td>Age</td><td>1.05</td><td>0.98-1.13</td><td>0.196</td><td>1.02</td><td>[EMPTY_CELL]</td><td>0.262</td></tr><tr><td>BMI</td><td>0.89</td><td>0.71-1.11</td><td>0.296</td><td>1.03</td><td>[EMPTY_CELL]</td><td>0.648</td></tr><tr><td>Combined therapy<sup>b</sup></td><td>1.83</td><td>0.41-8.18</td><td>0.430</td><td>2.65</td><td>[EMPTY_CELL]</td><td>0.081</td></tr><tr><td><i>APOA1</i> rs670 A/A<sup>c</sup></td><td>9.87</td><td>1.60-60.81</td><td><b>0</b>.<b>014</b></td><td>2.86</td><td>[EMPTY_CELL]</td><td>0.060</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Cox proportional hazard regression</b>\", \"bbox\": [231, 4, 357, 13]}, {\"cell\": \"<b>Lymph node negative (n=121)</b>\", \"bbox\": [138, 17, 245, 27]}, {\"cell\": \"<b>Lymph node positive (n=90)</b>\", \"bbox\": [350, 17, 451, 27]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [109, 30, 121, 40]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [172, 30, 198, 40]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [248, 30, 275, 40]}, {\"cell\": \"<b>HR</b>\", \"bbox\": [321, 30, 333, 40]}, {\"cell\": \"<b>95% CI</b>\", \"bbox\": [381, 30, 407, 40]}, {\"cell\": \"<b><i>P </i>value</b>\", \"bbox\": [454, 30, 481, 40]}, {\"cell\": \"Recurrence\", \"bbox\": [1, 43, 38, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER/PR negativity<sup>a</sup>\", \"bbox\": [1, 56, 57, 67]}, {\"cell\": \"2.06\", \"bbox\": [108, 57, 122, 67]}, {\"cell\": \"0.80-5.31\", \"bbox\": [170, 57, 200, 67]}, {\"cell\": \"0.136\", \"bbox\": [252, 57, 270, 67]}, {\"cell\": \"0.62\", \"bbox\": [320, 57, 335, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 57, 409, 67]}, {\"cell\": \"0.202\", \"bbox\": [458, 57, 477, 67]}, {\"cell\": \"Age\", \"bbox\": [1, 71, 15, 81]}, {\"cell\": \"1.01\", \"bbox\": [108, 71, 122, 81]}, {\"cell\": \"0.96-1.05\", \"bbox\": [170, 71, 200, 81]}, {\"cell\": \"0.788\", \"bbox\": [252, 71, 270, 81]}, {\"cell\": \"1.01\", \"bbox\": [320, 71, 335, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 71, 409, 81]}, {\"cell\": \"0.582\", \"bbox\": [458, 71, 477, 81]}, {\"cell\": \"BMI\", \"bbox\": [1, 85, 14, 95]}, {\"cell\": \"0.95\", \"bbox\": [108, 85, 122, 95]}, {\"cell\": \"0.84-1.08\", \"bbox\": [170, 85, 200, 95]}, {\"cell\": \"0.450\", \"bbox\": [252, 85, 270, 95]}, {\"cell\": \"1.02\", \"bbox\": [320, 85, 335, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 85, 409, 95]}, {\"cell\": \"0.703\", \"bbox\": [458, 85, 477, 95]}, {\"cell\": \"Combined therapy<sup>b</sup>\", \"bbox\": [1, 98, 66, 109]}, {\"cell\": \"2.02\", \"bbox\": [108, 99, 122, 109]}, {\"cell\": \"0.83-4.93\", \"bbox\": [170, 99, 200, 109]}, {\"cell\": \"0.120\", \"bbox\": [252, 99, 270, 109]}, {\"cell\": \"2.12\", \"bbox\": [320, 99, 335, 109]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 99, 409, 109]}, {\"cell\": \"0.107\", \"bbox\": [458, 99, 477, 109]}, {\"cell\": \"<i>APOA1</i> rs670 A/A<sup>c</sup>\", \"bbox\": [1, 112, 60, 123]}, {\"cell\": \"4.98\", \"bbox\": [108, 113, 122, 123]}, {\"cell\": \"1.40-17.70\", \"bbox\": [168, 113, 202, 123]}, {\"cell\": \"<b>0</b>.<b>013</b>\", \"bbox\": [251, 113, 271, 123]}, {\"cell\": \"2.46\", \"bbox\": [323, 113, 338, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 113, 409, 123]}, {\"cell\": \"0.093\", \"bbox\": [458, 113, 477, 123]}, {\"cell\": \"Mortality\", \"bbox\": [1, 127, 30, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"ER/PR negativity<sup>a</sup>\", \"bbox\": [1, 140, 57, 151]}, {\"cell\": \"0.24\", \"bbox\": [108, 141, 122, 151]}, {\"cell\": \"0.05-1.08\", \"bbox\": [170, 141, 200, 151]}, {\"cell\": \"0.064\", \"bbox\": [252, 141, 270, 151]}, {\"cell\": \"0.52\", \"bbox\": [320, 141, 335, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 141, 409, 151]}, {\"cell\": \"0.118\", \"bbox\": [458, 141, 477, 151]}, {\"cell\": \"Age\", \"bbox\": [1, 155, 15, 165]}, {\"cell\": \"1.05\", \"bbox\": [108, 155, 122, 165]}, {\"cell\": \"0.98-1.13\", \"bbox\": [170, 155, 200, 165]}, {\"cell\": \"0.196\", \"bbox\": [252, 155, 270, 165]}, {\"cell\": \"1.02\", \"bbox\": [320, 155, 335, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 155, 409, 165]}, {\"cell\": \"0.262\", \"bbox\": [458, 155, 477, 165]}, {\"cell\": \"BMI\", \"bbox\": [1, 169, 14, 179]}, {\"cell\": \"0.89\", \"bbox\": [108, 169, 122, 179]}, {\"cell\": \"0.71-1.11\", \"bbox\": [170, 169, 200, 179]}, {\"cell\": \"0.296\", \"bbox\": [252, 169, 270, 179]}, {\"cell\": \"1.03\", \"bbox\": [320, 169, 335, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 169, 409, 179]}, {\"cell\": \"0.648\", \"bbox\": [458, 169, 477, 179]}, {\"cell\": \"Combined therapy<sup>b</sup>\", \"bbox\": [1, 182, 66, 193]}, {\"cell\": \"1.83\", \"bbox\": [108, 183, 122, 193]}, {\"cell\": \"0.41-8.18\", \"bbox\": [170, 183, 200, 193]}, {\"cell\": \"0.430\", \"bbox\": [252, 183, 270, 193]}, {\"cell\": \"2.65\", \"bbox\": [320, 183, 335, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 183, 409, 193]}, {\"cell\": \"0.081\", \"bbox\": [458, 183, 477, 193]}, {\"cell\": \"<i>APOA1</i> rs670 A/A<sup>c</sup>\", \"bbox\": [1, 196, 60, 207]}, {\"cell\": \"9.87\", \"bbox\": [108, 197, 122, 207]}, {\"cell\": \"1.60-60.81\", \"bbox\": [168, 197, 202, 207]}, {\"cell\": \"<b>0</b>.<b>014</b>\", \"bbox\": [251, 197, 271, 207]}, {\"cell\": \"2.86\", \"bbox\": [320, 197, 335, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [379, 197, 409, 207]}, {\"cell\": \"0.060\", \"bbox\": [458, 197, 477, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3708770_007_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}951{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Subgroups</b></td><td><b>Favorable response %, (n)</b></td><td><b>Relative Risk (95% CI)</b></td><td><b>p</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>67 (70/104)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.77</td></tr><tr><td>[EMPTY_CELL]</td><td>66 (37/56)</td><td>1 (ref)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>69 (33/48)</td><td>1.04 (0.80 - 1.36)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.32</td></tr><tr><td>[EMPTY_CELL]</td><td>69 (65/94)</td><td>1 (ref)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>50 (5/10)</td><td>0.72 (0.38 - 1.36)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.14</td></tr><tr><td>[EMPTY_CELL]</td><td>76 (26/34)</td><td>1 (ref)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>63 (44/70)</td><td>0.82 (0.63 - 1.06)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.76</td></tr><tr><td>[EMPTY_CELL]</td><td>68 (23/34)</td><td>1 (ref)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>64 (14/22)</td><td>0.94 (0.64 - 1.39)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.47</td></tr><tr><td>[EMPTY_CELL]</td><td>60 (12/20)</td><td>1 (ref)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>69 (58/84)</td><td>1.15 (0.78 - 1.69)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.38</td></tr><tr><td>[EMPTY_CELL]</td><td>76 (13/17)</td><td>1 (ref)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>67 (54/81)</td><td>0.87 (0.64 - 1.18)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.66</td></tr><tr><td>[EMPTY_CELL]</td><td>71 (17/24)</td><td>1 (ref)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>66 (53/80)</td><td>0.95 (0.69 - 1.26)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.75</td></tr><tr><td>[EMPTY_CELL]</td><td>60 (3/5)</td><td>1 (ref)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>68 (67/99)</td><td>1.13 (0.54 - 2.34)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.18</td></tr><tr><td>[EMPTY_CELL]</td><td>57 (17/30)</td><td>1 (ref)</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>72 (53/74)</td><td>1.26 (0.89 - 1.78)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Subgroups</b>\", \"bbox\": [1, 4, 40, 13]}, {\"cell\": \"<b>Favorable response %, (n)</b>\", \"bbox\": [98, 4, 153, 22]}, {\"cell\": \"<b>Relative Risk (95% CI)</b>\", \"bbox\": [160, 4, 206, 22]}, {\"cell\": \"<b>p</b>\", \"bbox\": [222, 4, 228, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 18, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 84, 50]}, {\"cell\": \"67 (70/104)\", \"bbox\": [98, 40, 136, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 35, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.77\", \"bbox\": [222, 54, 236, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 33, 78]}, {\"cell\": \"66 (37/56)\", \"bbox\": [98, 68, 132, 78]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 68, 181, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 44, 92]}, {\"cell\": \"69 (33/48)\", \"bbox\": [98, 82, 132, 92]}, {\"cell\": \"1.04 (0.80 - 1.36)\", \"bbox\": [160, 82, 214, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 28, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.32\", \"bbox\": [222, 96, 236, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 46, 120]}, {\"cell\": \"69 (65/94)\", \"bbox\": [98, 110, 132, 120]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 110, 181, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 66, 134]}, {\"cell\": \"50 (5/10)\", \"bbox\": [98, 124, 128, 134]}, {\"cell\": \"0.72 (0.38 - 1.36)\", \"bbox\": [160, 124, 214, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 15, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.14\", \"bbox\": [222, 138, 236, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 62, 162]}, {\"cell\": \"76 (26/34)\", \"bbox\": [98, 152, 132, 162]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 152, 181, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 166, 62, 176]}, {\"cell\": \"63 (44/70)\", \"bbox\": [98, 166, 132, 176]}, {\"cell\": \"0.82 (0.63 - 1.06)\", \"bbox\": [160, 166, 214, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 180, 33, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.76\", \"bbox\": [222, 180, 236, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 194, 36, 202]}, {\"cell\": \"68 (23/34)\", \"bbox\": [98, 194, 132, 204]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 194, 181, 204]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 208, 90, 218]}, {\"cell\": \"64 (14/22)\", \"bbox\": [98, 208, 132, 218]}, {\"cell\": \"0.94 (0.64 - 1.39)\", \"bbox\": [160, 208, 214, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 222, 50, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.47\", \"bbox\": [222, 222, 236, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 236, 13, 246]}, {\"cell\": \"60 (12/20)\", \"bbox\": [98, 236, 132, 246]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 236, 181, 246]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 250, 12, 260]}, {\"cell\": \"69 (58/84)\", \"bbox\": [98, 250, 132, 260]}, {\"cell\": \"1.15 (0.78 - 1.69)\", \"bbox\": [160, 250, 214, 260]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 264, 85, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.38\", \"bbox\": [222, 264, 236, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 276, 55, 288]}, {\"cell\": \"76 (13/17)\", \"bbox\": [98, 278, 132, 288]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 278, 181, 288]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 290, 55, 302]}, {\"cell\": \"67 (54/81)\", \"bbox\": [98, 292, 132, 302]}, {\"cell\": \"0.87 (0.64 - 1.18)\", \"bbox\": [160, 292, 214, 302]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 306, 61, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.66\", \"bbox\": [222, 306, 236, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 320, 19, 330]}, {\"cell\": \"71 (17/24)\", \"bbox\": [98, 320, 132, 330]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 320, 181, 330]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 334, 12, 344]}, {\"cell\": \"66 (53/80)\", \"bbox\": [98, 334, 132, 344]}, {\"cell\": \"0.95 (0.69 - 1.26)\", \"bbox\": [160, 334, 214, 344]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 348, 55, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.75\", \"bbox\": [222, 348, 236, 358]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 362, 13, 372]}, {\"cell\": \"60 (3/5)\", \"bbox\": [98, 362, 124, 372]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 362, 181, 372]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 376, 12, 386]}, {\"cell\": \"68 (67/99)\", \"bbox\": [98, 376, 132, 386]}, {\"cell\": \"1.13 (0.54 - 2.34)\", \"bbox\": [160, 376, 214, 386]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 390, 19, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.18\", \"bbox\": [222, 390, 236, 400]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 404, 33, 414]}, {\"cell\": \"57 (17/30)\", \"bbox\": [98, 404, 132, 414]}, {\"cell\": \"1 (ref)\", \"bbox\": [160, 404, 181, 414]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 418, 48, 428]}, {\"cell\": \"72 (53/74)\", \"bbox\": [98, 418, 132, 428]}, {\"cell\": \"1.26 (0.89 - 1.78)\", \"bbox\": [160, 418, 214, 428]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4297391_003_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}952{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variables</b></td><td><b>Range</b></td><td><b>Mean or %</b></td></tr></thead><tbody><tr><td>Student-Level</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender: girls</td><td>[EMPTY_CELL]</td><td>50, 6%</td></tr><tr><td>Bullying victimization</td><td>[EMPTY_CELL]</td><td>4, 8%</td></tr><tr><td>Behavioural problems (z-score)</td><td>[EMPTY_CELL]</td><td>0 (1)</td></tr><tr><td>Emotional complaints (z-score)</td><td>[EMPTY_CELL]</td><td>0 (1)</td></tr><tr><td>Psychosomatic complaints (z-score)</td><td>[EMPTY_CELL]</td><td>0 (1)</td></tr><tr><td>School-Level</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Bullying victimization (mean)</td><td>[EMPTY_CELL]</td><td>3.9 (0.4)</td></tr><tr><td>Behavioural problems (mean)</td><td>[EMPTY_CELL]</td><td>15.1 (0.7)</td></tr><tr><td>Students born abroad (%)</td><td>[EMPTY_CELL]</td><td>7.3 (7.0)</td></tr><tr><td>Parents with post-secondary education (%)</td><td>[EMPTY_CELL]</td><td>51.1 (15.8)</td></tr><tr><td><i>N</i> (students)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>Internal attrition (students)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td><i>N</i> (schools)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>Internal attrition (schools)</td><td colspan=\\\"2\\\">[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [77, 5, 117, 16]}, {\"cell\": \"<b>Range</b>\", \"bbox\": [209, 5, 237, 16]}, {\"cell\": \"<b>Mean or %</b>\", \"bbox\": [264, 5, 310, 16]}, {\"cell\": \"Student-Level\", \"bbox\": [68, 21, 126, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Gender: girls\", \"bbox\": [70, 36, 124, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 36, 230, 48]}, {\"cell\": \"50, 6%\", \"bbox\": [273, 36, 301, 48]}, {\"cell\": \"Bullying victimization\", \"bbox\": [52, 47, 142, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [215, 47, 230, 59]}, {\"cell\": \"4, 8%\", \"bbox\": [276, 47, 299, 59]}, {\"cell\": \"Behavioural problems (z-score)\", \"bbox\": [34, 58, 160, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 58, 241, 70]}, {\"cell\": \"0 (1)\", \"bbox\": [278, 58, 297, 70]}, {\"cell\": \"Emotional complaints (z-score)\", \"bbox\": [34, 69, 159, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 69, 241, 81]}, {\"cell\": \"0 (1)\", \"bbox\": [278, 69, 297, 81]}, {\"cell\": \"Psychosomatic complaints (z-score)\", \"bbox\": [25, 81, 168, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [205, 81, 241, 92]}, {\"cell\": \"0 (1)\", \"bbox\": [278, 81, 297, 92]}, {\"cell\": \"School-Level\", \"bbox\": [70, 96, 123, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Bullying victimization (mean)\", \"bbox\": [37, 112, 157, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 112, 237, 123]}, {\"cell\": \"3.9 (0.4)\", \"bbox\": [271, 112, 304, 123]}, {\"cell\": \"Behavioural problems (mean)\", \"bbox\": [37, 123, 157, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [204, 123, 242, 134]}, {\"cell\": \"15.1 (0.7)\", \"bbox\": [269, 123, 306, 134]}, {\"cell\": \"Students born abroad (%)\", \"bbox\": [45, 134, 148, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [213, 134, 233, 145]}, {\"cell\": \"7.3 (7.0)\", \"bbox\": [271, 134, 304, 145]}, {\"cell\": \"Parents with post-secondary education (%)\", \"bbox\": [11, 145, 183, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [210, 145, 235, 156]}, {\"cell\": \"51.1 (15.8)\", \"bbox\": [266, 145, 308, 156]}, {\"cell\": \"<i>N</i> (students)\", \"bbox\": [71, 156, 122, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 156, 270, 167]}, {\"cell\": \"Internal attrition (students)\", \"bbox\": [42, 167, 152, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [243, 167, 270, 178]}, {\"cell\": \"<i>N</i> (schools)\", \"bbox\": [73, 178, 120, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [247, 178, 267, 189]}, {\"cell\": \"Internal attrition (schools)\", \"bbox\": [44, 189, 149, 200]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 189, 264, 200]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5800255_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}953{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Metal</b></td><td colspan=\\\"2\\\"><b>Chimfunshi</b></td><td colspan=\\\"2\\\"><b>Chililabombwe</b></td><td colspan=\\\"2\\\"><b>Kafue Flats</b></td><td colspan=\\\"2\\\"><b>Kafue Town</b></td></tr><tr><td><b><i>r</i></b></td><td><b><i>p</i></b></td><td><b><i>r</i></b></td><td><b><i>p</i></b></td><td><b><i>r</i></b></td><td><b><i>p</i></b></td><td><b><i>r</i></b></td><td><b><i>p</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>0.20</td><td>0.2896</td><td>0.06</td><td>0.7389</td><td>0.10</td><td>0.5186</td><td>0.15</td><td>0.2775</td></tr><tr><td>[EMPTY_CELL]</td><td>-</td><td>-</td><td>−0.19</td><td>0.2840</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>0.29</td><td>0.1102</td><td>0.09</td><td>0.5927</td><td>−0.09</td><td>0.5530</td><td>−0.09</td><td>0.5326</td></tr><tr><td>[EMPTY_CELL]</td><td>0.05</td><td>0.7673</td><td>−0.32</td><td>0.0608</td><td>0.17</td><td>0.2675</td><td>0.23</td><td>0.0892</td></tr><tr><td>[EMPTY_CELL]</td><td>0.08</td><td>0.6564</td><td>0.20</td><td>0.2429</td><td>−0.16</td><td>0.2867</td><td>0.04</td><td>0.7789</td></tr><tr><td>[EMPTY_CELL]</td><td><b>0.39</b></td><td><b>0.0270 *</b></td><td><b>0.40</b></td><td><b>0.0162 *</b></td><td><b>0.37</b></td><td><b>0.0135 *</b></td><td><b>0.58</b></td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td><b>0.52</b></td><td><b>0.0024 *</b></td><td>−0.04</td><td>0.8096</td><td><b>0.45</b></td><td><b>0.0022 *</b></td><td><b>0.47</b></td><td><b>0.0003 *</b></td></tr><tr><td>[EMPTY_CELL]</td><td>−0.12</td><td>0.5094</td><td><b>0.57</b></td><td><b>0.0003 *</b></td><td>−0.03</td><td>0.8677</td><td>0.10</td><td>0.4710</td></tr><tr><td>[EMPTY_CELL]</td><td>−0.34</td><td>0.0572</td><td><b>0.40</b></td><td><b>0.0172 *</b></td><td>0.08</td><td>0.6277</td><td>-</td><td>-</td></tr><tr><td>[EMPTY_CELL]</td><td>0.22</td><td>0.2197</td><td>−0.11</td><td>0.5482</td><td><b>0.38</b></td><td><b>0.0101 *</b></td><td><b>0.35</b></td><td><b>0.0097 *</b></td></tr><tr><td>[EMPTY_CELL]</td><td>−0.26</td><td>0.1493</td><td>0.16</td><td>0.3699</td><td>0.18</td><td>0.2410</td><td>-</td><td>-</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Metal</b>\", \"bbox\": [12, 13, 38, 21]}, {\"cell\": \"<b>Chimfunshi</b>\", \"bbox\": [74, 5, 126, 14]}, {\"cell\": \"<b>Chililabombwe</b>\", \"bbox\": [165, 5, 231, 14]}, {\"cell\": \"<b>Kafue Flats</b>\", \"bbox\": [272, 5, 321, 14]}, {\"cell\": \"<b>Kafue Town</b>\", \"bbox\": [369, 5, 421, 14]}, {\"cell\": \"<b><i>r</i></b>\", \"bbox\": [72, 23, 78, 32]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [121, 23, 128, 32]}, {\"cell\": \"<b><i>r</i></b>\", \"bbox\": [171, 23, 176, 32]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [219, 23, 226, 32]}, {\"cell\": \"<b><i>r</i></b>\", \"bbox\": [269, 23, 274, 32]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [317, 23, 324, 32]}, {\"cell\": \"<b><i>r</i></b>\", \"bbox\": [367, 23, 373, 32]}, {\"cell\": \"<b><i>p</i></b>\", \"bbox\": [416, 23, 423, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 36, 32, 48]}, {\"cell\": \"0.20\", \"bbox\": [66, 36, 84, 48]}, {\"cell\": \"0.2896\", \"bbox\": [111, 36, 138, 48]}, {\"cell\": \"0.06\", \"bbox\": [165, 36, 182, 48]}, {\"cell\": \"0.7389\", \"bbox\": [209, 36, 236, 48]}, {\"cell\": \"0.10\", \"bbox\": [263, 36, 281, 48]}, {\"cell\": \"0.5186\", \"bbox\": [308, 36, 334, 48]}, {\"cell\": \"0.15\", \"bbox\": [361, 36, 379, 48]}, {\"cell\": \"0.2775\", \"bbox\": [406, 36, 432, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 47, 32, 59]}, {\"cell\": \"-\", \"bbox\": [73, 47, 78, 59]}, {\"cell\": \"-\", \"bbox\": [122, 47, 127, 59]}, {\"cell\": \"−0.19\", \"bbox\": [161, 47, 186, 59]}, {\"cell\": \"0.2840\", \"bbox\": [209, 47, 236, 59]}, {\"cell\": \"-\", \"bbox\": [269, 47, 274, 59]}, {\"cell\": \"-\", \"bbox\": [318, 47, 323, 59]}, {\"cell\": \"-\", \"bbox\": [368, 47, 372, 59]}, {\"cell\": \"-\", \"bbox\": [417, 47, 422, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [18, 58, 34, 70]}, {\"cell\": \"0.29\", \"bbox\": [66, 58, 84, 70]}, {\"cell\": \"0.1102\", \"bbox\": [111, 58, 138, 70]}, {\"cell\": \"0.09\", \"bbox\": [165, 58, 182, 70]}, {\"cell\": \"0.5927\", \"bbox\": [209, 58, 236, 70]}, {\"cell\": \"−0.09\", \"bbox\": [259, 58, 284, 70]}, {\"cell\": \"0.5530\", \"bbox\": [308, 58, 334, 70]}, {\"cell\": \"−0.09\", \"bbox\": [358, 58, 383, 70]}, {\"cell\": \"0.5326\", \"bbox\": [406, 58, 432, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 69, 32, 81]}, {\"cell\": \"0.05\", \"bbox\": [66, 69, 84, 81]}, {\"cell\": \"0.7673\", \"bbox\": [111, 69, 138, 81]}, {\"cell\": \"−0.32\", \"bbox\": [161, 69, 186, 81]}, {\"cell\": \"0.0608\", \"bbox\": [209, 69, 236, 81]}, {\"cell\": \"0.17\", \"bbox\": [263, 69, 281, 81]}, {\"cell\": \"0.2675\", \"bbox\": [308, 69, 334, 81]}, {\"cell\": \"0.23\", \"bbox\": [361, 69, 379, 81]}, {\"cell\": \"0.0892\", \"bbox\": [406, 69, 432, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 80, 33, 92]}, {\"cell\": \"0.08\", \"bbox\": [66, 80, 84, 92]}, {\"cell\": \"0.6564\", \"bbox\": [111, 80, 138, 92]}, {\"cell\": \"0.20\", \"bbox\": [165, 80, 182, 92]}, {\"cell\": \"0.2429\", \"bbox\": [209, 80, 236, 92]}, {\"cell\": \"−0.16\", \"bbox\": [259, 80, 284, 92]}, {\"cell\": \"0.2867\", \"bbox\": [308, 80, 334, 92]}, {\"cell\": \"0.04\", \"bbox\": [361, 80, 379, 92]}, {\"cell\": \"0.7789\", \"bbox\": [406, 80, 432, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 91, 33, 103]}, {\"cell\": \"<b>0.39</b>\", \"bbox\": [66, 92, 84, 100]}, {\"cell\": \"<b>0.0270 *</b>\", \"bbox\": [108, 92, 141, 100]}, {\"cell\": \"<b>0.40</b>\", \"bbox\": [165, 92, 182, 100]}, {\"cell\": \"<b>0.0162 *</b>\", \"bbox\": [206, 92, 239, 100]}, {\"cell\": \"<b>0.37</b>\", \"bbox\": [263, 92, 281, 100]}, {\"cell\": \"<b>0.0135 *</b>\", \"bbox\": [304, 92, 337, 100]}, {\"cell\": \"<b>0.58</b>\", \"bbox\": [361, 92, 379, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [400, 92, 438, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 103, 33, 114]}, {\"cell\": \"<b>0.52</b>\", \"bbox\": [66, 103, 84, 111]}, {\"cell\": \"<b>0.0024 *</b>\", \"bbox\": [108, 103, 141, 111]}, {\"cell\": \"−0.04\", \"bbox\": [161, 103, 186, 114]}, {\"cell\": \"0.8096\", \"bbox\": [209, 103, 236, 114]}, {\"cell\": \"<b>0.45</b>\", \"bbox\": [263, 103, 281, 111]}, {\"cell\": \"<b>0.0022 *</b>\", \"bbox\": [304, 103, 337, 111]}, {\"cell\": \"<b>0.47</b>\", \"bbox\": [361, 103, 379, 111]}, {\"cell\": \"<b>0.0003 *</b>\", \"bbox\": [403, 103, 436, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [21, 114, 32, 125]}, {\"cell\": \"−0.12\", \"bbox\": [63, 114, 88, 125]}, {\"cell\": \"0.5094\", \"bbox\": [111, 114, 138, 125]}, {\"cell\": \"<b>0.57</b>\", \"bbox\": [165, 114, 182, 122]}, {\"cell\": \"<b>0.0003 *</b>\", \"bbox\": [206, 114, 239, 122]}, {\"cell\": \"−0.03\", \"bbox\": [259, 114, 284, 125]}, {\"cell\": \"0.8677\", \"bbox\": [308, 114, 334, 125]}, {\"cell\": \"0.10\", \"bbox\": [361, 114, 379, 125]}, {\"cell\": \"0.4710\", \"bbox\": [406, 114, 432, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 125, 33, 136]}, {\"cell\": \"−0.34\", \"bbox\": [63, 125, 88, 136]}, {\"cell\": \"0.0572\", \"bbox\": [111, 125, 138, 136]}, {\"cell\": \"<b>0.40</b>\", \"bbox\": [165, 125, 182, 133]}, {\"cell\": \"<b>0.0172 *</b>\", \"bbox\": [206, 125, 239, 133]}, {\"cell\": \"0.08\", \"bbox\": [263, 125, 281, 136]}, {\"cell\": \"0.6277\", \"bbox\": [308, 125, 334, 136]}, {\"cell\": \"-\", \"bbox\": [368, 125, 372, 136]}, {\"cell\": \"-\", \"bbox\": [417, 125, 422, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [19, 136, 33, 147]}, {\"cell\": \"0.22\", \"bbox\": [66, 136, 84, 147]}, {\"cell\": \"0.2197\", \"bbox\": [111, 136, 138, 147]}, {\"cell\": \"−0.11\", \"bbox\": [161, 136, 186, 147]}, {\"cell\": \"0.5482\", \"bbox\": [209, 136, 236, 147]}, {\"cell\": \"<b>0.38</b>\", \"bbox\": [263, 136, 281, 144]}, {\"cell\": \"<b>0.0101 *</b>\", \"bbox\": [304, 136, 337, 144]}, {\"cell\": \"<b>0.35</b>\", \"bbox\": [361, 136, 379, 144]}, {\"cell\": \"<b>0.0097 *</b>\", \"bbox\": [403, 136, 436, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [20, 147, 32, 158]}, {\"cell\": \"−0.26\", \"bbox\": [63, 147, 88, 158]}, {\"cell\": \"0.1493\", \"bbox\": [111, 147, 138, 158]}, {\"cell\": \"0.16\", \"bbox\": [165, 147, 182, 158]}, {\"cell\": \"0.3699\", \"bbox\": [209, 147, 236, 158]}, {\"cell\": \"0.18\", \"bbox\": [263, 147, 281, 158]}, {\"cell\": \"0.2410\", \"bbox\": [308, 147, 334, 158]}, {\"cell\": \"-\", \"bbox\": [368, 147, 373, 158]}, {\"cell\": \"-\", \"bbox\": [417, 147, 422, 158]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5536036_013_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}954{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td><b>Mean</b></td><td><b>SD</b></td></tr></thead><tbody><tr><td>WTP (The highest bid which a person was willing to pay) (RMB/year)</td><td>329.94</td><td>[EMPTY_CELL]</td></tr><tr><td>Annual per capita income (RMB)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Lowest 25%</td><td>3472.62</td><td>[EMPTY_CELL]</td></tr><tr><td> Middle 25%</td><td>7347.68</td><td>[EMPTY_CELL]</td></tr><tr><td> Higher 25%</td><td>12,874.09</td><td>[EMPTY_CELL]</td></tr><tr><td> Highest 25%</td><td>36,232.52</td><td>[EMPTY_CELL]</td></tr><tr><td>Variable</td><td>N</td><td>[EMPTY_CELL]</td></tr><tr><td>Province</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Qinghai</td><td>901</td><td>[EMPTY_CELL]</td></tr><tr><td> Zhejiang</td><td>842</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Sex</td></tr><tr><td> Male</td><td>1075</td><td>[EMPTY_CELL]</td></tr><tr><td> Female</td><td>668</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Age (year)</td></tr><tr><td> ≤35</td><td>370</td><td>[EMPTY_CELL]</td></tr><tr><td> 35–65</td><td>972</td><td>[EMPTY_CELL]</td></tr><tr><td> ≥65</td><td>401</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Marital status</td></tr><tr><td> Married</td><td>1292</td><td>[EMPTY_CELL]</td></tr><tr><td> Single, divorced, or widowed</td><td>451</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Education status</td></tr><tr><td> Primary education or below</td><td>538</td><td>[EMPTY_CELL]</td></tr><tr><td> Secondary education</td><td>848</td><td>[EMPTY_CELL]</td></tr><tr><td> Tertiary education</td><td>357</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">The type of public health insurance</td></tr><tr><td> UEBMI</td><td>508</td><td>[EMPTY_CELL]</td></tr><tr><td> URBMI/NCMS</td><td>387</td><td>[EMPTY_CELL]</td></tr><tr><td> Not covered or did not know the type</td><td>848</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"3\\\">Having chronic conditions</td></tr><tr><td> Yes</td><td>621</td><td>[EMPTY_CELL]</td></tr><tr><td> No</td><td>1122</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [129, 5, 165, 14]}, {\"cell\": \"<b>Mean</b>\", \"bbox\": [311, 5, 336, 14]}, {\"cell\": \"<b>SD</b>\", \"bbox\": [377, 5, 392, 14]}, {\"cell\": \"WTP (The highest bid which a person was willing to pay) (RMB/year)\", \"bbox\": [6, 21, 287, 32]}, {\"cell\": \"329.94\", \"bbox\": [310, 21, 337, 32]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [371, 21, 398, 32]}, {\"cell\": \"Annual per capita income (RMB)\", \"bbox\": [6, 36, 139, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Lowest 25%\", \"bbox\": [15, 47, 65, 59]}, {\"cell\": \"3472.62\", \"bbox\": [308, 47, 339, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 47, 400, 59]}, {\"cell\": \" Middle 25%\", \"bbox\": [15, 58, 65, 70]}, {\"cell\": \"7347.68\", \"bbox\": [308, 58, 339, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 58, 400, 70]}, {\"cell\": \" Higher 25%\", \"bbox\": [15, 69, 64, 81]}, {\"cell\": \"12,874.09\", \"bbox\": [304, 69, 342, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [369, 69, 400, 81]}, {\"cell\": \" Highest 25%\", \"bbox\": [15, 80, 67, 92]}, {\"cell\": \"36,232.52\", \"bbox\": [304, 80, 342, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [365, 80, 403, 92]}, {\"cell\": \"Variable\", \"bbox\": [6, 96, 41, 107]}, {\"cell\": \"N\", \"bbox\": [319, 96, 328, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [380, 96, 389, 107]}, {\"cell\": \"Province\", \"bbox\": [6, 112, 43, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Qinghai\", \"bbox\": [15, 123, 50, 134]}, {\"cell\": \"901\", \"bbox\": [316, 123, 331, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 123, 395, 134]}, {\"cell\": \" Zhejiang\", \"bbox\": [15, 134, 52, 145]}, {\"cell\": \"842\", \"bbox\": [316, 134, 331, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 134, 395, 145]}, {\"cell\": \"Sex\", \"bbox\": [6, 150, 22, 161]}, {\"cell\": \" Male\", \"bbox\": [15, 161, 37, 172]}, {\"cell\": \"1075\", \"bbox\": [313, 161, 333, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 161, 395, 172]}, {\"cell\": \" Female\", \"bbox\": [15, 172, 46, 183]}, {\"cell\": \"668\", \"bbox\": [316, 172, 331, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 172, 395, 183]}, {\"cell\": \"Age (year)\", \"bbox\": [6, 188, 50, 199]}, {\"cell\": \" ≤35\", \"bbox\": [16, 199, 34, 210]}, {\"cell\": \"370\", \"bbox\": [316, 199, 331, 210]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 199, 395, 210]}, {\"cell\": \" 35–65\", \"bbox\": [15, 210, 40, 221]}, {\"cell\": \"972\", \"bbox\": [316, 210, 331, 221]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 210, 395, 221]}, {\"cell\": \" ≥65\", \"bbox\": [16, 221, 34, 232]}, {\"cell\": \"401\", \"bbox\": [316, 221, 331, 232]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 221, 395, 232]}, {\"cell\": \"Marital status\", \"bbox\": [6, 237, 63, 248]}, {\"cell\": \" Married\", \"bbox\": [15, 248, 50, 259]}, {\"cell\": \"1292\", \"bbox\": [313, 248, 333, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 248, 395, 259]}, {\"cell\": \" Single, divorced, or widowed\", \"bbox\": [15, 259, 134, 270]}, {\"cell\": \"451\", \"bbox\": [316, 259, 331, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 259, 395, 270]}, {\"cell\": \"Education status\", \"bbox\": [6, 274, 75, 285]}, {\"cell\": \" Primary education or below\", \"bbox\": [15, 285, 129, 297]}, {\"cell\": \"538\", \"bbox\": [316, 285, 331, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 285, 395, 297]}, {\"cell\": \" Secondary education\", \"bbox\": [15, 296, 101, 308]}, {\"cell\": \"848\", \"bbox\": [316, 296, 331, 308]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 296, 395, 308]}, {\"cell\": \" Tertiary education\", \"bbox\": [15, 307, 90, 319]}, {\"cell\": \"357\", \"bbox\": [316, 307, 331, 319]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 307, 395, 319]}, {\"cell\": \"The type of public health insurance\", \"bbox\": [6, 323, 148, 334]}, {\"cell\": \" UEBMI\", \"bbox\": [15, 334, 47, 345]}, {\"cell\": \"508\", \"bbox\": [316, 334, 331, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 334, 395, 345]}, {\"cell\": \" URBMI/NCMS\", \"bbox\": [15, 345, 80, 356]}, {\"cell\": \"387\", \"bbox\": [316, 345, 331, 356]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 345, 395, 356]}, {\"cell\": \" Not covered or did not know the type\", \"bbox\": [15, 356, 167, 367]}, {\"cell\": \"848\", \"bbox\": [316, 356, 331, 367]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 356, 395, 367]}, {\"cell\": \"Having chronic conditions\", \"bbox\": [6, 372, 114, 383]}, {\"cell\": \" Yes\", \"bbox\": [15, 383, 31, 394]}, {\"cell\": \"621\", \"bbox\": [316, 383, 331, 394]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 383, 395, 394]}, {\"cell\": \" No\", \"bbox\": [15, 394, 30, 405]}, {\"cell\": \"1122\", \"bbox\": [313, 394, 333, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [373, 394, 395, 405]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5800106_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}955{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Health indicator</b></td><td><b>NFHS 1 (1992-1993)</b></td><td><b>NFHS 2 (1998-1999)</b></td><td><b>NFHS 3 (2005-2006)</b></td></tr></thead><tbody><tr><td>Any ANC</td><td>[EMPTY_CELL]</td><td>98.4</td><td>98.6</td></tr><tr><td>3 ANC visits</td><td>[EMPTY_CELL]</td><td>91.4</td><td>95.9</td></tr><tr><td>ANC given by doctor</td><td>[EMPTY_CELL]</td><td>84.3</td><td>83.6</td></tr><tr><td>ANC given by ANM/nurse-midwife/LHV</td><td>[EMPTY_CELL]</td><td>9.8</td><td>14.3</td></tr><tr><td>ANC given by health worker in the home</td><td>[EMPTY_CELL]</td><td>4.4</td><td>3.3</td></tr><tr><td>Others/<i>dai</i>/none</td><td>[EMPTY_CELL]</td><td>1.3</td><td>1.1</td></tr><tr><td>Postnatal check-up within 2 months of birth</td><td>[EMPTY_CELL]</td><td>53.0</td><td>91.3</td></tr><tr><td>Institutional delivery</td><td>[EMPTY_CELL]</td><td>79</td><td>87.8</td></tr><tr><td>Caesarean-section rate</td><td>[EMPTY_CELL]</td><td>15.8</td><td>25.0</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Health indicator</b>\", \"bbox\": [6, 11, 81, 23]}, {\"cell\": \"<b>NFHS 1 (1992-1993)</b>\", \"bbox\": [224, 5, 280, 28]}, {\"cell\": \"<b>NFHS 2 (1998-1999)</b>\", \"bbox\": [300, 5, 355, 28]}, {\"cell\": \"<b>NFHS 3 (2005-2006)</b>\", \"bbox\": [375, 5, 430, 28]}, {\"cell\": \"Any ANC\", \"bbox\": [6, 32, 50, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 32, 262, 44]}, {\"cell\": \"98.4\", \"bbox\": [317, 32, 338, 44]}, {\"cell\": \"98.6\", \"bbox\": [392, 32, 413, 44]}, {\"cell\": \"3 ANC visits\", \"bbox\": [6, 47, 62, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 47, 262, 58]}, {\"cell\": \"91.4\", \"bbox\": [317, 47, 338, 58]}, {\"cell\": \"95.9\", \"bbox\": [392, 47, 413, 58]}, {\"cell\": \"ANC given by doctor\", \"bbox\": [6, 61, 101, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 61, 262, 72]}, {\"cell\": \"84.3\", \"bbox\": [317, 61, 338, 72]}, {\"cell\": \"83.6\", \"bbox\": [392, 61, 413, 72]}, {\"cell\": \"ANC given by ANM/nurse-midwife/LHV\", \"bbox\": [6, 75, 187, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 75, 260, 86]}, {\"cell\": \"9.8\", \"bbox\": [320, 75, 335, 86]}, {\"cell\": \"14.3\", \"bbox\": [392, 75, 413, 86]}, {\"cell\": \"ANC given by health worker in the home\", \"bbox\": [6, 89, 192, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 89, 262, 100]}, {\"cell\": \"4.4\", \"bbox\": [320, 89, 335, 100]}, {\"cell\": \"3.3\", \"bbox\": [395, 89, 411, 100]}, {\"cell\": \"Others/<i>dai</i>/none\", \"bbox\": [6, 103, 81, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [244, 103, 260, 115]}, {\"cell\": \"1.3\", \"bbox\": [320, 103, 335, 115]}, {\"cell\": \"1.1\", \"bbox\": [395, 103, 411, 115]}, {\"cell\": \"Postnatal check-up within 2 months of birth\", \"bbox\": [6, 117, 206, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [249, 117, 255, 129]}, {\"cell\": \"53.0\", \"bbox\": [317, 117, 338, 129]}, {\"cell\": \"91.3\", \"bbox\": [392, 117, 413, 129]}, {\"cell\": \"Institutional delivery\", \"bbox\": [6, 132, 101, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [245, 132, 258, 143]}, {\"cell\": \"79\", \"bbox\": [321, 132, 334, 143]}, {\"cell\": \"87.8\", \"bbox\": [392, 132, 413, 143]}, {\"cell\": \"Caesarean-section rate\", \"bbox\": [6, 146, 107, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [241, 146, 262, 157]}, {\"cell\": \"15.8\", \"bbox\": [317, 146, 338, 157]}, {\"cell\": \"25.0\", \"bbox\": [392, 146, 413, 157]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2761773_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}956{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Variable</b></td><td colspan=\\\"2\\\"><b>All patients with AF (N = 557,123)</b></td><td colspan=\\\"2\\\"><b>AF patients without history of GI at baseline (N = 413,168)</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Number of GI cases<sup>a</sup></b></td><td><b>Prevalence of GI (per 100 persons) [95% CI<sup>b</sup>]</b></td><td><b>Number of incident GI cases<sup>c</sup></b></td><td><b>Cumulative incidence (per 100 persons) [95% CI<sup>b</sup>]</b></td></tr></thead><tbody><tr><td>Any GI event</td><td>308,823</td><td>55.4 [55.3,55.6]</td><td>[EMPTY_CELL]</td><td>39.9 [39.8,40.1]</td></tr><tr><td>GI events based on the RE-LY study classification<sup>d</sup></td><td>215,942</td><td>38.8 [38.6,38.9]</td><td>[EMPTY_CELL]</td><td>26.3 [26.1,26.4]</td></tr><tr><td>Dyspepsia<sup>e</sup></td><td>164,892</td><td>29.6 [29.5,29.7]</td><td>[EMPTY_CELL]</td><td>19.1 [19.0,19.3]</td></tr><tr><td>Gastrointestinal bleeding</td><td>52,979</td><td>9.5 [9.4,9.6]</td><td>[EMPTY_CELL]</td><td>6.3 [6.2,6.4]</td></tr><tr><td>Vomiting</td><td>46,866</td><td>8.4 [8.3,8.5]</td><td>[EMPTY_CELL]</td><td>4.9 [4.8,5.0]</td></tr><tr><td>Diarrhea</td><td>43,628</td><td>7.8 [7.8,7.9]</td><td>[EMPTY_CELL]</td><td>4.8 [4.8,4.9]</td></tr><tr><td>Other GI events</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Diverticula of intestine</td><td>62,638</td><td>11.2 [11.2,11.3]</td><td>[EMPTY_CELL]</td><td>7.5 [7.4,7.6]</td></tr><tr><td>Gastroesophageal reflux disease</td><td>63,159</td><td>11.3 [11.3,11.4]</td><td>[EMPTY_CELL]</td><td>7.0 [6.9,7.1]</td></tr><tr><td>Other disorders of intestine</td><td>49,736</td><td>8.9 [8.9,9.0]</td><td>[EMPTY_CELL]</td><td>5.7 [5.6,5.7]</td></tr><tr><td>Dysphagia</td><td>46,506</td><td>8.3 [8.3,8.4]</td><td>[EMPTY_CELL]</td><td>5.3 [5.3,5.4]</td></tr><tr><td>Gastritis and duodenitis</td><td>46,974</td><td>8.4 [8.4,8.5]</td><td>[EMPTY_CELL]</td><td>5.2 [5.1,5.3]</td></tr><tr><td>Constipation</td><td>35,832</td><td>6.4 [6.4,6.5]</td><td>[EMPTY_CELL]</td><td>4.0 [4.0,4.1]</td></tr><tr><td>Noninfectious gastroenteritis and colitis</td><td>29,602</td><td>5.3 [5.3,5.4]</td><td>[EMPTY_CELL]</td><td>3.1 [3.1,3.2]</td></tr><tr><td>Esophagitis</td><td>28,092</td><td>5.0 [5.0,5.1]</td><td>[EMPTY_CELL]</td><td>2.9 [2.8,2.9]</td></tr><tr><td>Nausea Alone</td><td>22,673</td><td>4.1 [4.0,4.1]</td><td>[EMPTY_CELL]</td><td>2.4 [2.4,2.5]</td></tr><tr><td>Malignant neoplasm of digestive organs and peritoneum</td><td>18,107</td><td>3.3 [3.2,3.3]</td><td>[EMPTY_CELL]</td><td>1.3 [1.3,1.4]</td></tr><tr><td>Flatulence, eructation and gas pain</td><td>17,263</td><td>3.1 [3.1,3.1]</td><td>[EMPTY_CELL]</td><td>1.7 [1.7,1.8]</td></tr><tr><td>Peptic ulcer diseases</td><td>13,914</td><td>2.5 [2.5,2.5]</td><td>[EMPTY_CELL]</td><td>1.5 [1.5,1.6]</td></tr><tr><td>Any GI-related hospitalization</td><td>121,189</td><td>21.8 [21.6,21.9]</td><td>[EMPTY_CELL]</td><td>13.5 [13.4,13.6]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variable</b>\", \"bbox\": [1, 4, 31, 13]}, {\"cell\": \"<b>All patients with AF (N = 557,123)</b>\", \"bbox\": [159, 4, 277, 13]}, {\"cell\": \"<b>AF patients without history of GI at baseline (N = 413,168)</b>\", \"bbox\": [289, 4, 483, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Number of GI cases<sup>a</sup></b>\", \"bbox\": [159, 17, 199, 36]}, {\"cell\": \"<b>Prevalence of GI (per 100 persons) [95% CI<sup>b</sup>]</b>\", \"bbox\": [204, 17, 283, 36]}, {\"cell\": \"<b>Number of incident GI cases<sup>c</sup></b>\", \"bbox\": [289, 17, 358, 36]}, {\"cell\": \"<b>Cumulative incidence (per 100 persons) [95% CI<sup>b</sup>]</b>\", \"bbox\": [375, 17, 473, 36]}, {\"cell\": \"Any GI event\", \"bbox\": [1, 39, 44, 49]}, {\"cell\": \"308,823\", \"bbox\": [159, 39, 186, 49]}, {\"cell\": \"55.4 [55.3,55.6]\", \"bbox\": [204, 39, 252, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 39, 315, 49]}, {\"cell\": \"39.9 [39.8,40.1]\", \"bbox\": [375, 39, 424, 49]}, {\"cell\": \"GI events based on the RE-LY study classification<sup>d</sup>\", \"bbox\": [1, 52, 154, 63]}, {\"cell\": \"215,942\", \"bbox\": [159, 53, 186, 63]}, {\"cell\": \"38.8 [38.6,38.9]\", \"bbox\": [204, 53, 252, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 53, 314, 63]}, {\"cell\": \"26.3 [26.1,26.4]\", \"bbox\": [375, 53, 424, 63]}, {\"cell\": \"Dyspepsia<sup>e</sup>\", \"bbox\": [1, 66, 38, 77]}, {\"cell\": \"164,892\", \"bbox\": [159, 67, 186, 77]}, {\"cell\": \"29.6 [29.5,29.7]\", \"bbox\": [204, 67, 252, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 67, 311, 77]}, {\"cell\": \"19.1 [19.0,19.3]\", \"bbox\": [375, 67, 424, 77]}, {\"cell\": \"Gastrointestinal bleeding\", \"bbox\": [1, 81, 82, 91]}, {\"cell\": \"52,979\", \"bbox\": [159, 81, 182, 91]}, {\"cell\": \"9.5 [9.4,9.6]\", \"bbox\": [204, 81, 241, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 81, 311, 91]}, {\"cell\": \"6.3 [6.2,6.4]\", \"bbox\": [375, 81, 412, 91]}, {\"cell\": \"Vomiting\", \"bbox\": [1, 95, 32, 105]}, {\"cell\": \"46,866\", \"bbox\": [159, 95, 182, 105]}, {\"cell\": \"8.4 [8.3,8.5]\", \"bbox\": [204, 95, 241, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 95, 311, 105]}, {\"cell\": \"4.9 [4.8,5.0]\", \"bbox\": [375, 95, 412, 105]}, {\"cell\": \"Diarrhea\", \"bbox\": [1, 109, 29, 119]}, {\"cell\": \"43,628\", \"bbox\": [159, 109, 182, 119]}, {\"cell\": \"7.8 [7.8,7.9]\", \"bbox\": [204, 109, 241, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 109, 311, 119]}, {\"cell\": \"4.8 [4.8,4.9]\", \"bbox\": [375, 109, 412, 119]}, {\"cell\": \"Other GI events\", \"bbox\": [1, 123, 53, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Diverticula of intestine\", \"bbox\": [1, 137, 74, 147]}, {\"cell\": \"62,638\", \"bbox\": [159, 137, 182, 147]}, {\"cell\": \"11.2 [11.2,11.3]\", \"bbox\": [204, 137, 252, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 137, 311, 147]}, {\"cell\": \"7.5 [7.4,7.6]\", \"bbox\": [375, 137, 412, 147]}, {\"cell\": \"Gastroesophageal reflux disease\", \"bbox\": [1, 151, 105, 161]}, {\"cell\": \"63,159\", \"bbox\": [159, 151, 182, 161]}, {\"cell\": \"11.3 [11.3,11.4]\", \"bbox\": [204, 151, 252, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 151, 311, 161]}, {\"cell\": \"7.0 [6.9,7.1]\", \"bbox\": [375, 151, 412, 161]}, {\"cell\": \"Other disorders of intestine\", \"bbox\": [1, 165, 90, 175]}, {\"cell\": \"49,736\", \"bbox\": [159, 165, 182, 175]}, {\"cell\": \"8.9 [8.9,9.0]\", \"bbox\": [204, 165, 241, 175]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 165, 311, 175]}, {\"cell\": \"5.7 [5.6,5.7]\", \"bbox\": [375, 165, 412, 175]}, {\"cell\": \"Dysphagia\", \"bbox\": [1, 179, 36, 189]}, {\"cell\": \"46,506\", \"bbox\": [159, 179, 182, 189]}, {\"cell\": \"8.3 [8.3,8.4]\", \"bbox\": [204, 179, 241, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 179, 311, 189]}, {\"cell\": \"5.3 [5.3,5.4]\", \"bbox\": [375, 179, 412, 189]}, {\"cell\": \"Gastritis and duodenitis\", \"bbox\": [1, 193, 78, 203]}, {\"cell\": \"46,974\", \"bbox\": [159, 193, 182, 203]}, {\"cell\": \"8.4 [8.4,8.5]\", \"bbox\": [204, 193, 241, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 193, 311, 203]}, {\"cell\": \"5.2 [5.1,5.3]\", \"bbox\": [375, 193, 412, 203]}, {\"cell\": \"Constipation\", \"bbox\": [1, 207, 43, 217]}, {\"cell\": \"35,832\", \"bbox\": [159, 207, 182, 217]}, {\"cell\": \"6.4 [6.4,6.5]\", \"bbox\": [204, 207, 241, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 207, 311, 217]}, {\"cell\": \"4.0 [4.0,4.1]\", \"bbox\": [375, 207, 412, 217]}, {\"cell\": \"Noninfectious gastroenteritis and colitis\", \"bbox\": [1, 221, 129, 231]}, {\"cell\": \"29,602\", \"bbox\": [159, 221, 182, 231]}, {\"cell\": \"5.3 [5.3,5.4]\", \"bbox\": [204, 221, 241, 231]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 221, 311, 231]}, {\"cell\": \"3.1 [3.1,3.2]\", \"bbox\": [375, 221, 412, 231]}, {\"cell\": \"Esophagitis\", \"bbox\": [1, 235, 38, 245]}, {\"cell\": \"28,092\", \"bbox\": [159, 235, 182, 245]}, {\"cell\": \"5.0 [5.0,5.1]\", \"bbox\": [204, 235, 241, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 235, 311, 245]}, {\"cell\": \"2.9 [2.8,2.9]\", \"bbox\": [375, 235, 412, 245]}, {\"cell\": \"Nausea Alone\", \"bbox\": [1, 249, 47, 259]}, {\"cell\": \"22,673\", \"bbox\": [159, 249, 182, 259]}, {\"cell\": \"4.1 [4.0,4.1]\", \"bbox\": [204, 249, 241, 259]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 249, 307, 259]}, {\"cell\": \"2.4 [2.4,2.5]\", \"bbox\": [375, 249, 412, 259]}, {\"cell\": \"Malignant neoplasm of digestive organs and peritoneum\", \"bbox\": [1, 263, 132, 282]}, {\"cell\": \"18,107\", \"bbox\": [159, 263, 182, 273]}, {\"cell\": \"3.3 [3.2,3.3]\", \"bbox\": [204, 263, 241, 273]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 263, 307, 273]}, {\"cell\": \"1.3 [1.3,1.4]\", \"bbox\": [375, 263, 412, 273]}, {\"cell\": \"Flatulence, eructation and gas pain\", \"bbox\": [1, 286, 115, 296]}, {\"cell\": \"17,263\", \"bbox\": [159, 286, 182, 296]}, {\"cell\": \"3.1 [3.1,3.1]\", \"bbox\": [204, 286, 241, 296]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 286, 307, 296]}, {\"cell\": \"1.7 [1.7,1.8]\", \"bbox\": [375, 286, 412, 296]}, {\"cell\": \"Peptic ulcer diseases\", \"bbox\": [1, 300, 68, 310]}, {\"cell\": \"13,914\", \"bbox\": [159, 300, 182, 310]}, {\"cell\": \"2.5 [2.5,2.5]\", \"bbox\": [204, 300, 241, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 300, 307, 310]}, {\"cell\": \"1.5 [1.5,1.6]\", \"bbox\": [375, 300, 412, 310]}, {\"cell\": \"Any GI-related hospitalization\", \"bbox\": [1, 314, 96, 324]}, {\"cell\": \"121,189\", \"bbox\": [159, 314, 186, 324]}, {\"cell\": \"21.8 [21.6,21.9]\", \"bbox\": [204, 314, 252, 324]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [289, 314, 311, 324]}, {\"cell\": \"13.5 [13.4,13.6]\", \"bbox\": [375, 314, 424, 324]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4210454_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}957{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>‘Persistently intermediate’ versus ‘persistently low’</b></td><td><b>‘Intermediate to low’ versus ‘persistently low’</b></td><td><b>‘Persistently high’ versus ‘persistently low’</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>OR (95% CI)*</b></td><td><b>OR (95% CI)*</b></td><td><b>OR (95% CI)*</b></td></tr></thead><tbody><tr><td colspan=\\\"4\\\">Age (years)</td></tr><tr><td> <50</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td> ≥50</td><td>0.90 (0.77 to 1.07)</td><td>[EMPTY_CELL]</td><td>0.55 (0.43 to 0.70)</td></tr><tr><td colspan=\\\"4\\\">Sex</td></tr><tr><td> Male</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td> Female</td><td>1.53 (1.29 to 1.81)</td><td>[EMPTY_CELL]</td><td>1.80 (1.45 to 2.24)</td></tr><tr><td colspan=\\\"4\\\">Socioeconomic status</td></tr><tr><td> High</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td> Intermediate</td><td>0.98 (0.83 to 1.15)</td><td>[EMPTY_CELL]</td><td>1.34 (1.07 to 1.67)</td></tr><tr><td> Low</td><td>0.90 (0.71 to 1.15)</td><td>[EMPTY_CELL]</td><td>1.47 (1.08 to 2.00)</td></tr><tr><td colspan=\\\"4\\\">Smoking</td></tr><tr><td> No</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td> Yes</td><td>1.34 (1.09 to 1.65)</td><td>[EMPTY_CELL]</td><td>1.55 (1.20 to 2.01)</td></tr><tr><td colspan=\\\"4\\\">Alcohol use</td></tr><tr><td> Within recommended limits</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td> No use</td><td>1.11 (0.91 to 1.35)</td><td>[EMPTY_CELL]</td><td>1.22 (0.96 to 1.56)</td></tr><tr><td> Above recommended limits</td><td>1.16 (0.95 to 1.42)</td><td>[EMPTY_CELL]</td><td>1.16 (0.88 to 1.52)</td></tr><tr><td colspan=\\\"4\\\">Obesity</td></tr><tr><td> No</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td> Yes</td><td>1.35 (1.07 to 1.71)</td><td>[EMPTY_CELL]</td><td>1.49 (1.11 to 1.99)</td></tr><tr><td colspan=\\\"4\\\">Hypertension</td></tr><tr><td> No</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td> Yes</td><td>1.06 (0.89 to 1.27)</td><td>[EMPTY_CELL]</td><td>1.06 (0.83 to 1.36)</td></tr><tr><td colspan=\\\"4\\\">High total cholesterol (≥5.0 mmol/L)</td></tr><tr><td> No</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td> Yes</td><td>1.23 (0.93 to 1.62)</td><td>[EMPTY_CELL]</td><td>1.05 (0.76 to 1.46)</td></tr><tr><td colspan=\\\"4\\\">Total cholesterol level (mmol/L)</td></tr><tr><td> <5.0</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td> 5.0–<6.5</td><td>1.18 (0.89 to 1.56)</td><td>[EMPTY_CELL]</td><td>1.10 (0.78 to 1.55)</td></tr><tr><td> ≥6.5</td><td>1.28 (0.96 to 1.70)</td><td>[EMPTY_CELL]</td><td>0.99 (0.70 to 1.41)</td></tr><tr><td colspan=\\\"4\\\">Diabetes</td></tr><tr><td> No</td><td>1.00</td><td>[EMPTY_CELL]</td><td>1.00</td></tr><tr><td> Yes</td><td>1.07 (0.69 to 1.65)</td><td>[EMPTY_CELL]</td><td>0.73 (0.37 to 1.46)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>‘Persistently intermediate’ versus ‘persistently low’</b>\", \"bbox\": [142, 5, 225, 24]}, {\"cell\": \"<b>‘Intermediate to low’ versus ‘persistently low’</b>\", \"bbox\": [279, 5, 369, 24]}, {\"cell\": \"<b>‘Persistently high’ versus ‘persistently low’</b>\", \"bbox\": [422, 5, 502, 24]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>OR (95% CI)*</b>\", \"bbox\": [142, 25, 185, 35]}, {\"cell\": \"<b>OR (95% CI)*</b>\", \"bbox\": [279, 25, 323, 35]}, {\"cell\": \"<b>OR (95% CI)*</b>\", \"bbox\": [422, 25, 466, 35]}, {\"cell\": \"Age (years)\", \"bbox\": [0, 43, 35, 52]}, {\"cell\": \" <50\", \"bbox\": [8, 54, 22, 63]}, {\"cell\": \"1.00\", \"bbox\": [142, 54, 156, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 54, 293, 63]}, {\"cell\": \"1.00\", \"bbox\": [422, 54, 437, 63]}, {\"cell\": \" ≥50\", \"bbox\": [8, 65, 22, 74]}, {\"cell\": \"0.90 (0.77 to 1.07)\", \"bbox\": [142, 65, 198, 74]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 65, 335, 74]}, {\"cell\": \"0.55 (0.43 to 0.70)\", \"bbox\": [422, 65, 479, 74]}, {\"cell\": \"Sex\", \"bbox\": [0, 76, 12, 85]}, {\"cell\": \" Male\", \"bbox\": [8, 87, 24, 96]}, {\"cell\": \"1.00\", \"bbox\": [142, 87, 156, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 87, 293, 96]}, {\"cell\": \"1.00\", \"bbox\": [422, 87, 437, 96]}, {\"cell\": \" Female\", \"bbox\": [8, 98, 30, 107]}, {\"cell\": \"1.53 (1.29 to 1.81)\", \"bbox\": [142, 98, 198, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 98, 335, 107]}, {\"cell\": \"1.80 (1.45 to 2.24)\", \"bbox\": [422, 98, 479, 107]}, {\"cell\": \"Socioeconomic status\", \"bbox\": [0, 109, 63, 118]}, {\"cell\": \" High\", \"bbox\": [8, 120, 23, 129]}, {\"cell\": \"1.00\", \"bbox\": [142, 120, 156, 129]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 120, 293, 129]}, {\"cell\": \"1.00\", \"bbox\": [422, 120, 437, 129]}, {\"cell\": \" Intermediate\", \"bbox\": [8, 131, 46, 140]}, {\"cell\": \"0.98 (0.83 to 1.15)\", \"bbox\": [142, 131, 198, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 131, 335, 140]}, {\"cell\": \"1.34 (1.07 to 1.67)\", \"bbox\": [422, 131, 479, 140]}, {\"cell\": \" Low\", \"bbox\": [8, 142, 22, 151]}, {\"cell\": \"0.90 (0.71 to 1.15)\", \"bbox\": [142, 142, 198, 151]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 142, 335, 151]}, {\"cell\": \"1.47 (1.08 to 2.00)\", \"bbox\": [422, 142, 479, 151]}, {\"cell\": \"Smoking\", \"bbox\": [0, 153, 27, 162]}, {\"cell\": \" No\", \"bbox\": [8, 164, 18, 173]}, {\"cell\": \"1.00\", \"bbox\": [142, 164, 156, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 164, 293, 173]}, {\"cell\": \"1.00\", \"bbox\": [422, 164, 437, 173]}, {\"cell\": \" Yes\", \"bbox\": [8, 175, 20, 184]}, {\"cell\": \"1.34 (1.09 to 1.65)\", \"bbox\": [142, 175, 198, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 175, 335, 184]}, {\"cell\": \"1.55 (1.20 to 2.01)\", \"bbox\": [422, 175, 479, 184]}, {\"cell\": \"Alcohol use\", \"bbox\": [0, 186, 36, 195]}, {\"cell\": \" Within recommended limits\", \"bbox\": [8, 197, 88, 206]}, {\"cell\": \"1.00\", \"bbox\": [142, 197, 156, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 197, 293, 206]}, {\"cell\": \"1.00\", \"bbox\": [422, 197, 437, 206]}, {\"cell\": \" No use\", \"bbox\": [8, 208, 30, 217]}, {\"cell\": \"1.11 (0.91 to 1.35)\", \"bbox\": [142, 208, 198, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 208, 335, 217]}, {\"cell\": \"1.22 (0.96 to 1.56)\", \"bbox\": [422, 208, 479, 217]}, {\"cell\": \" Above recommended limits\", \"bbox\": [8, 219, 87, 228]}, {\"cell\": \"1.16 (0.95 to 1.42)\", \"bbox\": [142, 219, 198, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 219, 335, 228]}, {\"cell\": \"1.16 (0.88 to 1.52)\", \"bbox\": [422, 219, 479, 228]}, {\"cell\": \"Obesity\", \"bbox\": [0, 230, 23, 239]}, {\"cell\": \" No\", \"bbox\": [8, 241, 18, 250]}, {\"cell\": \"1.00\", \"bbox\": [142, 241, 156, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 241, 293, 250]}, {\"cell\": \"1.00\", \"bbox\": [422, 241, 437, 250]}, {\"cell\": \" Yes\", \"bbox\": [8, 252, 20, 261]}, {\"cell\": \"1.35 (1.07 to 1.71)\", \"bbox\": [142, 252, 198, 261]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 252, 335, 261]}, {\"cell\": \"1.49 (1.11 to 1.99)\", \"bbox\": [422, 252, 479, 261]}, {\"cell\": \"Hypertension\", \"bbox\": [0, 263, 39, 272]}, {\"cell\": \" No\", \"bbox\": [8, 274, 18, 283]}, {\"cell\": \"1.00\", \"bbox\": [142, 274, 156, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 274, 293, 283]}, {\"cell\": \"1.00\", \"bbox\": [422, 274, 437, 283]}, {\"cell\": \" Yes\", \"bbox\": [8, 285, 20, 294]}, {\"cell\": \"1.06 (0.89 to 1.27)\", \"bbox\": [142, 285, 198, 294]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 285, 335, 294]}, {\"cell\": \"1.06 (0.83 to 1.36)\", \"bbox\": [422, 285, 479, 294]}, {\"cell\": \"High total cholesterol (≥5.0 mmol/L)\", \"bbox\": [0, 296, 107, 305]}, {\"cell\": \" No\", \"bbox\": [8, 307, 18, 316]}, {\"cell\": \"1.00\", \"bbox\": [142, 307, 156, 316]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 307, 293, 316]}, {\"cell\": \"1.00\", \"bbox\": [422, 307, 437, 316]}, {\"cell\": \" Yes\", \"bbox\": [8, 318, 20, 327]}, {\"cell\": \"1.23 (0.93 to 1.62)\", \"bbox\": [142, 318, 198, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 318, 335, 327]}, {\"cell\": \"1.05 (0.76 to 1.46)\", \"bbox\": [422, 318, 479, 327]}, {\"cell\": \"Total cholesterol level (mmol/L)\", \"bbox\": [0, 329, 91, 338]}, {\"cell\": \" <5.0\", \"bbox\": [8, 340, 23, 349]}, {\"cell\": \"1.00\", \"bbox\": [142, 340, 156, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 340, 293, 349]}, {\"cell\": \"1.00\", \"bbox\": [422, 340, 437, 349]}, {\"cell\": \" 5.0–<6.5\", \"bbox\": [8, 351, 36, 360]}, {\"cell\": \"1.18 (0.89 to 1.56)\", \"bbox\": [142, 351, 198, 360]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 351, 335, 360]}, {\"cell\": \"1.10 (0.78 to 1.55)\", \"bbox\": [422, 351, 479, 360]}, {\"cell\": \" ≥6.5\", \"bbox\": [8, 362, 24, 371]}, {\"cell\": \"1.28 (0.96 to 1.70)\", \"bbox\": [142, 362, 198, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 362, 335, 371]}, {\"cell\": \"0.99 (0.70 to 1.41)\", \"bbox\": [422, 362, 479, 371]}, {\"cell\": \"Diabetes\", \"bbox\": [0, 373, 27, 382]}, {\"cell\": \" No\", \"bbox\": [8, 384, 18, 393]}, {\"cell\": \"1.00\", \"bbox\": [142, 384, 156, 393]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 384, 293, 393]}, {\"cell\": \"1.00\", \"bbox\": [422, 384, 437, 393]}, {\"cell\": \" Yes\", \"bbox\": [8, 395, 20, 404]}, {\"cell\": \"1.07 (0.69 to 1.65)\", \"bbox\": [142, 395, 198, 404]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [279, 395, 335, 404]}, {\"cell\": \"0.73 (0.37 to 1.46)\", \"bbox\": [422, 395, 479, 404]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5529979_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}958{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>EIQ equation component</b></td><td><b>Equation</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>c*((dt*5) + (dt*p))</td></tr><tr><td>[EMPTY_CELL]</td><td>(c*(s + p)/2*sy) + (L)</td></tr><tr><td>[EMPTY_CELL]</td><td>(f*r) + (d*(s+p)/2*3) + (z*p*3) + (b*p*5)</td></tr><tr><td>[EMPTY_CELL]</td><td>{[c*(dt*5)+(dt*p)]+[(c*(s+p)/2*sy)+(L)+[(f*r)+(d*(s+p)/2*3)+(z*p*3)+(b*p*5)]}/3</td></tr><tr><td>[EMPTY_CELL]</td><td>EIQ * % active ingredient * rate/acre</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>EIQ equation component</b>\", \"bbox\": [7, 6, 127, 18]}, {\"cell\": \"<b>Equation</b>\", \"bbox\": [277, 6, 323, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 21, 172, 33]}, {\"cell\": \"c*((dt*5) + (dt*p))\", \"bbox\": [277, 21, 363, 33]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 36, 203, 48]}, {\"cell\": \"(c*(s + p)/2*sy) + (L)\", \"bbox\": [277, 36, 376, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 51, 231, 63]}, {\"cell\": \"(f*r) + (d*(s+p)/2*3) + (z*p*3) + (b*p*5)\", \"bbox\": [277, 51, 465, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 73, 220, 86]}, {\"cell\": \"{[c*(dt*5)+(dt*p)]+[(c*(s+p)/2*sy)+(L)+[(f*r)+(d*(s+p)/2*3)+(z*p*3)+(b*p*5)]}/3\", \"bbox\": [277, 66, 470, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [6, 96, 72, 108]}, {\"cell\": \"EIQ * % active ingredient * rate/acre\", \"bbox\": [277, 96, 443, 108]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3290991_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}959{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Compd.</b></td><td rowspan=\\\"2\\\"><b>R<sup>1</sup></b></td><td rowspan=\\\"2\\\"><b>R<sup>2</sup></b></td><td colspan=\\\"7\\\"><b>Fungicidal activity (%)/50 μg/mL</b></td></tr><tr><td><b><i>P. a</i></b></td><td><b><i>R. s</i></b></td><td><b><i>V. m</i></b></td><td><b><i>S. s</i></b></td><td><b><i>B. c</i></b></td><td><b><i>F. m</i></b></td><td><b><i>G. g. t</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>Me</td><td>Me</td><td>5.2</td><td>19.7</td><td>17.8</td><td>33.6</td><td>6.9</td><td>11.8</td><td>4.5</td></tr><tr><td>[EMPTY_CELL]</td><td>Me</td><td>Et</td><td>12.9</td><td>30.7</td><td>14.4</td><td>40.1</td><td>5.7</td><td>15.8</td><td>31.7</td></tr><tr><td>[EMPTY_CELL]</td><td>Me</td><td><i>i</i>-Pr</td><td>12.1</td><td>40.6</td><td>53.0</td><td>72.8</td><td>20.8</td><td>17.0</td><td>8.9</td></tr><tr><td>[EMPTY_CELL]</td><td>Me</td><td>Ph</td><td>35.1</td><td>62.2</td><td>91.9</td><td>92.6</td><td>74.1</td><td>49.7</td><td>100</td></tr><tr><td>[EMPTY_CELL]</td><td>Me</td><td>4-OMePh</td><td>25.4</td><td>63.4</td><td>91.5</td><td>84.8</td><td>61.8</td><td>48.5</td><td>100</td></tr><tr><td>[EMPTY_CELL]</td><td>Me</td><td>4-ClPh</td><td>15.3</td><td>54.7</td><td>57.6</td><td>85.3</td><td>52.3</td><td>27.4</td><td>35.7</td></tr><tr><td>[EMPTY_CELL]</td><td>Ph</td><td>Me</td><td>30.6</td><td>26.8</td><td>23.3</td><td>48.4</td><td>28.8</td><td>22.6</td><td>79.0</td></tr><tr><td>[EMPTY_CELL]</td><td>Ph</td><td>Et</td><td>40.3</td><td>39.4</td><td>65.7</td><td>84.3</td><td>66.2</td><td>48.5</td><td>99.1</td></tr><tr><td>[EMPTY_CELL]</td><td>Ph</td><td><i>n</i>-Pr</td><td>53.6</td><td>61.0</td><td>86.4</td><td>97.2</td><td>78.9</td><td>54.5</td><td>96.1</td></tr><tr><td>[EMPTY_CELL]</td><td>Ph</td><td><i>i</i>-Pr</td><td>50.4</td><td>56.7</td><td>86.0</td><td>88.0</td><td>79.3</td><td>50.9</td><td>90.1</td></tr><tr><td>[EMPTY_CELL]</td><td>Ph</td><td>Ph</td><td>12.1</td><td>33.5</td><td>47.5</td><td>72.8</td><td>37.1</td><td>36.2</td><td>87.1</td></tr><tr><td>[EMPTY_CELL]</td><td>2-ClPh</td><td>Me</td><td>20.2</td><td>19.7</td><td>49.6</td><td>88.5</td><td>35.1</td><td>21.0</td><td>78.6</td></tr><tr><td>[EMPTY_CELL]</td><td>2-ClPh</td><td>4-ClPh</td><td>4.8</td><td>22.4</td><td>36.9</td><td>47.9</td><td>36.7</td><td>17.8</td><td>76.4</td></tr><tr><td>[EMPTY_CELL]</td><td><i>t</i>-Bu</td><td>Me</td><td>17.7</td><td>24.8</td><td>24.6</td><td>32.7</td><td>24.0</td><td>17.0</td><td>26.3</td></tr><tr><td>[EMPTY_CELL]</td><td>3-ClPy</td><td>Cl</td><td>24.2</td><td>26.8</td><td>39.8</td><td>45.6</td><td>47.9</td><td>27.0</td><td>65.7</td></tr><tr><td>[EMPTY_CELL]</td><td>3-ClPy</td><td>Br</td><td>38.7</td><td>39.0</td><td>56.8</td><td>59.9</td><td>42.7</td><td>28.6</td><td>72.6</td></tr><tr><td>[EMPTY_CELL]</td><td>–</td><td>–</td><td>47.4</td><td>100</td><td>89.0</td><td>100</td><td>84.5</td><td>78.5</td><td>100</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Compd.</b>\", \"bbox\": [1, 4, 30, 14]}, {\"cell\": \"<b>R<sup>1</sup></b>\", \"bbox\": [78, 3, 87, 14]}, {\"cell\": \"<b>R<sup>2</sup></b>\", \"bbox\": [130, 3, 140, 14]}, {\"cell\": \"<b>Fungicidal activity (%)/50 μg/mL</b>\", \"bbox\": [192, 4, 306, 14]}, {\"cell\": \"<b><i>P. a</i></b>\", \"bbox\": [192, 20, 206, 30]}, {\"cell\": \"<b><i>R. s</i></b>\", \"bbox\": [237, 20, 250, 30]}, {\"cell\": \"<b><i>V. m</i></b>\", \"bbox\": [282, 20, 298, 30]}, {\"cell\": \"<b><i>S. s</i></b>\", \"bbox\": [328, 20, 341, 30]}, {\"cell\": \"<b><i>B. c</i></b>\", \"bbox\": [373, 20, 386, 30]}, {\"cell\": \"<b><i>F. m</i></b>\", \"bbox\": [418, 20, 433, 30]}, {\"cell\": \"<b><i>G. g. t</i></b>\", \"bbox\": [463, 20, 484, 30]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 38, 16, 48]}, {\"cell\": \"Me\", \"bbox\": [78, 38, 90, 48]}, {\"cell\": \"Me\", \"bbox\": [130, 38, 143, 48]}, {\"cell\": \"5.2\", \"bbox\": [196, 38, 208, 48]}, {\"cell\": \"19.7\", \"bbox\": [237, 38, 252, 48]}, {\"cell\": \"17.8\", \"bbox\": [282, 38, 297, 48]}, {\"cell\": \"33.6\", \"bbox\": [328, 38, 343, 48]}, {\"cell\": \"6.9\", \"bbox\": [377, 38, 388, 48]}, {\"cell\": \"11.8\", \"bbox\": [418, 38, 433, 48]}, {\"cell\": \"4.5\", \"bbox\": [467, 38, 478, 48]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 16, 60]}, {\"cell\": \"Me\", \"bbox\": [78, 50, 90, 60]}, {\"cell\": \"Et\", \"bbox\": [130, 50, 139, 60]}, {\"cell\": \"12.9\", \"bbox\": [192, 50, 208, 60]}, {\"cell\": \"30.7\", \"bbox\": [237, 50, 252, 60]}, {\"cell\": \"14.4\", \"bbox\": [282, 50, 297, 60]}, {\"cell\": \"40.1\", \"bbox\": [328, 50, 343, 60]}, {\"cell\": \"5.7\", \"bbox\": [377, 50, 388, 60]}, {\"cell\": \"15.8\", \"bbox\": [418, 50, 433, 60]}, {\"cell\": \"31.7\", \"bbox\": [463, 50, 478, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 62, 15, 72]}, {\"cell\": \"Me\", \"bbox\": [78, 62, 90, 72]}, {\"cell\": \"<i>i</i>-Pr\", \"bbox\": [130, 62, 143, 72]}, {\"cell\": \"12.1\", \"bbox\": [192, 62, 208, 72]}, {\"cell\": \"40.6\", \"bbox\": [237, 62, 252, 72]}, {\"cell\": \"53.0\", \"bbox\": [282, 62, 297, 72]}, {\"cell\": \"72.8\", \"bbox\": [328, 62, 343, 72]}, {\"cell\": \"20.8\", \"bbox\": [373, 62, 388, 72]}, {\"cell\": \"17.0\", \"bbox\": [418, 62, 433, 72]}, {\"cell\": \"8.9\", \"bbox\": [467, 62, 478, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 74, 16, 84]}, {\"cell\": \"Me\", \"bbox\": [78, 75, 90, 84]}, {\"cell\": \"Ph\", \"bbox\": [130, 75, 141, 84]}, {\"cell\": \"35.1\", \"bbox\": [192, 75, 208, 84]}, {\"cell\": \"62.2\", \"bbox\": [237, 75, 252, 84]}, {\"cell\": \"91.9\", \"bbox\": [282, 75, 297, 84]}, {\"cell\": \"92.6\", \"bbox\": [328, 75, 343, 84]}, {\"cell\": \"74.1\", \"bbox\": [373, 75, 388, 84]}, {\"cell\": \"49.7\", \"bbox\": [418, 75, 433, 84]}, {\"cell\": \"100\", \"bbox\": [463, 75, 477, 84]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 87, 16, 96]}, {\"cell\": \"Me\", \"bbox\": [78, 87, 90, 96]}, {\"cell\": \"4-OMePh\", \"bbox\": [131, 87, 163, 96]}, {\"cell\": \"25.4\", \"bbox\": [192, 87, 208, 96]}, {\"cell\": \"63.4\", \"bbox\": [237, 87, 253, 96]}, {\"cell\": \"91.5\", \"bbox\": [282, 87, 297, 96]}, {\"cell\": \"84.8\", \"bbox\": [328, 87, 343, 96]}, {\"cell\": \"61.8\", \"bbox\": [373, 87, 388, 96]}, {\"cell\": \"48.5\", \"bbox\": [418, 87, 433, 96]}, {\"cell\": \"100\", \"bbox\": [463, 87, 477, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 99, 14, 108]}, {\"cell\": \"Me\", \"bbox\": [78, 99, 90, 108]}, {\"cell\": \"4-ClPh\", \"bbox\": [131, 99, 153, 108]}, {\"cell\": \"15.3\", \"bbox\": [193, 99, 208, 108]}, {\"cell\": \"54.7\", \"bbox\": [237, 99, 253, 108]}, {\"cell\": \"57.6\", \"bbox\": [282, 99, 297, 108]}, {\"cell\": \"85.3\", \"bbox\": [328, 99, 343, 108]}, {\"cell\": \"52.3\", \"bbox\": [373, 99, 388, 108]}, {\"cell\": \"27.4\", \"bbox\": [418, 99, 433, 108]}, {\"cell\": \"35.7\", \"bbox\": [463, 99, 478, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 111, 16, 120]}, {\"cell\": \"Ph\", \"bbox\": [78, 111, 88, 120]}, {\"cell\": \"Me\", \"bbox\": [131, 111, 143, 120]}, {\"cell\": \"30.6\", \"bbox\": [193, 111, 208, 120]}, {\"cell\": \"26.8\", \"bbox\": [237, 111, 253, 120]}, {\"cell\": \"23.3\", \"bbox\": [282, 111, 297, 120]}, {\"cell\": \"48.4\", \"bbox\": [328, 111, 343, 120]}, {\"cell\": \"28.8\", \"bbox\": [373, 111, 388, 120]}, {\"cell\": \"22.6\", \"bbox\": [418, 111, 433, 120]}, {\"cell\": \"79.0\", \"bbox\": [463, 111, 478, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 123, 16, 132]}, {\"cell\": \"Ph\", \"bbox\": [78, 123, 88, 132]}, {\"cell\": \"Et\", \"bbox\": [131, 123, 139, 132]}, {\"cell\": \"40.3\", \"bbox\": [193, 123, 208, 132]}, {\"cell\": \"39.4\", \"bbox\": [237, 123, 253, 132]}, {\"cell\": \"65.7\", \"bbox\": [282, 123, 297, 132]}, {\"cell\": \"84.3\", \"bbox\": [328, 123, 343, 132]}, {\"cell\": \"66.2\", \"bbox\": [373, 123, 388, 132]}, {\"cell\": \"48.5\", \"bbox\": [418, 123, 433, 132]}, {\"cell\": \"99.1\", \"bbox\": [463, 123, 478, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 135, 14, 144]}, {\"cell\": \"Ph\", \"bbox\": [78, 135, 88, 144]}, {\"cell\": \"<i>n</i>-Pr\", \"bbox\": [131, 135, 145, 144]}, {\"cell\": \"53.6\", \"bbox\": [193, 135, 208, 144]}, {\"cell\": \"61.0\", \"bbox\": [237, 135, 253, 144]}, {\"cell\": \"86.4\", \"bbox\": [282, 135, 297, 144]}, {\"cell\": \"97.2\", \"bbox\": [328, 135, 343, 144]}, {\"cell\": \"78.9\", \"bbox\": [373, 135, 388, 144]}, {\"cell\": \"54.5\", \"bbox\": [418, 135, 433, 144]}, {\"cell\": \"96.1\", \"bbox\": [463, 135, 478, 144]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 147, 14, 156]}, {\"cell\": \"Ph\", \"bbox\": [78, 147, 88, 157]}, {\"cell\": \"<i>i</i>-Pr\", \"bbox\": [131, 147, 143, 157]}, {\"cell\": \"50.4\", \"bbox\": [193, 147, 208, 157]}, {\"cell\": \"56.7\", \"bbox\": [237, 147, 253, 157]}, {\"cell\": \"86.0\", \"bbox\": [282, 147, 298, 157]}, {\"cell\": \"88.0\", \"bbox\": [328, 147, 343, 157]}, {\"cell\": \"79.3\", \"bbox\": [373, 147, 388, 157]}, {\"cell\": \"50.9\", \"bbox\": [418, 147, 433, 157]}, {\"cell\": \"90.1\", \"bbox\": [463, 147, 478, 157]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 159, 16, 169]}, {\"cell\": \"Ph\", \"bbox\": [78, 159, 88, 169]}, {\"cell\": \"Ph\", \"bbox\": [131, 159, 141, 169]}, {\"cell\": \"12.1\", \"bbox\": [193, 159, 208, 169]}, {\"cell\": \"33.5\", \"bbox\": [238, 159, 253, 169]}, {\"cell\": \"47.5\", \"bbox\": [282, 159, 298, 169]}, {\"cell\": \"72.8\", \"bbox\": [328, 159, 343, 169]}, {\"cell\": \"37.1\", \"bbox\": [373, 159, 388, 169]}, {\"cell\": \"36.2\", \"bbox\": [418, 159, 433, 169]}, {\"cell\": \"87.1\", \"bbox\": [463, 159, 478, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 171, 14, 181]}, {\"cell\": \"2-ClPh\", \"bbox\": [78, 171, 101, 181]}, {\"cell\": \"Me\", \"bbox\": [131, 171, 143, 181]}, {\"cell\": \"20.2\", \"bbox\": [193, 171, 208, 181]}, {\"cell\": \"19.7\", \"bbox\": [238, 171, 253, 181]}, {\"cell\": \"49.6\", \"bbox\": [282, 171, 298, 181]}, {\"cell\": \"88.5\", \"bbox\": [328, 171, 343, 181]}, {\"cell\": \"35.1\", \"bbox\": [373, 171, 388, 181]}, {\"cell\": \"21.0\", \"bbox\": [418, 171, 433, 181]}, {\"cell\": \"78.6\", \"bbox\": [463, 171, 478, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 183, 18, 193]}, {\"cell\": \"2-ClPh\", \"bbox\": [78, 183, 101, 193]}, {\"cell\": \"4-ClPh\", \"bbox\": [131, 183, 154, 193]}, {\"cell\": \"4.8\", \"bbox\": [197, 183, 208, 193]}, {\"cell\": \"22.4\", \"bbox\": [238, 183, 253, 193]}, {\"cell\": \"36.9\", \"bbox\": [282, 183, 298, 193]}, {\"cell\": \"47.9\", \"bbox\": [328, 183, 343, 193]}, {\"cell\": \"36.7\", \"bbox\": [373, 183, 388, 193]}, {\"cell\": \"17.8\", \"bbox\": [418, 183, 433, 193]}, {\"cell\": \"76.4\", \"bbox\": [463, 183, 478, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 195, 16, 205]}, {\"cell\": \"<i>t</i>-Bu\", \"bbox\": [78, 196, 93, 205]}, {\"cell\": \"Me\", \"bbox\": [131, 196, 143, 205]}, {\"cell\": \"17.7\", \"bbox\": [193, 196, 208, 205]}, {\"cell\": \"24.8\", \"bbox\": [238, 196, 253, 205]}, {\"cell\": \"24.6\", \"bbox\": [282, 196, 298, 205]}, {\"cell\": \"32.7\", \"bbox\": [328, 196, 343, 205]}, {\"cell\": \"24.0\", \"bbox\": [373, 196, 388, 205]}, {\"cell\": \"17.0\", \"bbox\": [418, 196, 433, 205]}, {\"cell\": \"26.3\", \"bbox\": [463, 196, 478, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 208, 16, 217]}, {\"cell\": \"3-ClPy\", \"bbox\": [78, 208, 100, 217]}, {\"cell\": \"Cl\", \"bbox\": [131, 208, 139, 217]}, {\"cell\": \"24.2\", \"bbox\": [193, 208, 208, 217]}, {\"cell\": \"26.8\", \"bbox\": [238, 208, 253, 217]}, {\"cell\": \"39.8\", \"bbox\": [282, 208, 298, 217]}, {\"cell\": \"45.6\", \"bbox\": [328, 208, 343, 217]}, {\"cell\": \"47.9\", \"bbox\": [373, 208, 388, 217]}, {\"cell\": \"27.0\", \"bbox\": [418, 208, 433, 217]}, {\"cell\": \"65.7\", \"bbox\": [463, 208, 478, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 220, 16, 229]}, {\"cell\": \"3-ClPy\", \"bbox\": [78, 220, 100, 229]}, {\"cell\": \"Br\", \"bbox\": [131, 220, 139, 229]}, {\"cell\": \"38.7\", \"bbox\": [193, 220, 208, 229]}, {\"cell\": \"39.0\", \"bbox\": [238, 220, 253, 229]}, {\"cell\": \"56.8\", \"bbox\": [282, 220, 298, 229]}, {\"cell\": \"59.9\", \"bbox\": [328, 220, 344, 229]}, {\"cell\": \"42.7\", \"bbox\": [373, 220, 388, 229]}, {\"cell\": \"28.6\", \"bbox\": [418, 220, 433, 229]}, {\"cell\": \"72.6\", \"bbox\": [463, 220, 478, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 232, 48, 241]}, {\"cell\": \"–\", \"bbox\": [78, 232, 84, 241]}, {\"cell\": \"–\", \"bbox\": [131, 232, 137, 241]}, {\"cell\": \"47.4\", \"bbox\": [193, 232, 208, 241]}, {\"cell\": \"100\", \"bbox\": [238, 232, 251, 241]}, {\"cell\": \"89.0\", \"bbox\": [283, 232, 298, 241]}, {\"cell\": \"100\", \"bbox\": [328, 232, 342, 241]}, {\"cell\": \"84.5\", \"bbox\": [373, 232, 388, 241]}, {\"cell\": \"78.5\", \"bbox\": [418, 232, 433, 241]}, {\"cell\": \"100\", \"bbox\": [463, 232, 477, 241]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4932680_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}960{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td colspan=\\\"4\\\"><b>Computation Steps</b></td></tr><tr><td><b>Step</b></td><td><b>Step Title </b></td><td><b>Step Description</b></td><td><b>Values</b></td></tr></thead><tbody><tr><td>1</td><td>Compute the signal level </td><td>(<i>see the text above</i>)</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>Compute the noise level</td><td>(<i>see the text above</i>)</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>Compute the S/N ratio</td><td>(<i>see the text above</i>)</td><td>[EMPTY_CELL]</td></tr><tr><td>4</td><td>Min number of frames </td><td>Photon per pixel/Photon to saturate</td><td>[EMPTY_CELL]</td></tr><tr><td>5</td><td>Max exposure time per frame</td><td>Eclipse time/Min number of frames</td><td>[EMPTY_CELL]</td></tr><tr><td>6</td><td>Exposure time limit (t<sub>lim</sub>) to avoid saturation </td><td>Compute the detector voltage corresponding to the incoming photon flux for one frame. Find the exposure time to get the higher voltage value without saturation. The star flux is spread on 10 × 10 pix.</td><td>[EMPTY_CELL]</td></tr><tr><td>7</td><td>Number of co-added frames </td><td>Compute the number of co-added frames required to get a S/N of 10<sup>5</sup> (star signal of 10<sup>10</sup>).</td><td>[EMPTY_CELL]</td></tr><tr><td>8</td><td>Verify the compliance with the duty cycle time constraint. </td><td>t = frames × tlim</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Computation Steps</b>\", \"bbox\": [175, 5, 248, 14]}, {\"cell\": \"<b>Step</b>\", \"bbox\": [13, 19, 31, 29]}, {\"cell\": \"<b>Step Title </b>\", \"bbox\": [83, 19, 121, 29]}, {\"cell\": \"<b>Step Description</b>\", \"bbox\": [200, 19, 264, 29]}, {\"cell\": \"<b>Values</b>\", \"bbox\": [349, 19, 376, 29]}, {\"cell\": \"1\", \"bbox\": [19, 33, 25, 43]}, {\"cell\": \"Compute the signal level \", \"bbox\": [57, 33, 148, 43]}, {\"cell\": \"(<i>see the text above</i>)\", \"bbox\": [201, 33, 264, 43]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [19, 47, 25, 57]}, {\"cell\": \"Compute the noise level\", \"bbox\": [58, 47, 146, 57]}, {\"cell\": \"(<i>see the text above</i>)\", \"bbox\": [201, 47, 264, 57]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [19, 61, 25, 71]}, {\"cell\": \"Compute the S/N ratio\", \"bbox\": [60, 61, 145, 71]}, {\"cell\": \"(<i>see the text above</i>)\", \"bbox\": [201, 61, 264, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"4\", \"bbox\": [19, 76, 25, 86]}, {\"cell\": \"Min number of frames \", \"bbox\": [61, 76, 143, 86]}, {\"cell\": \"Photon per pixel/Photon to saturate\", \"bbox\": [167, 76, 298, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [308, 74, 418, 86]}, {\"cell\": \"5\", \"bbox\": [19, 90, 25, 100]}, {\"cell\": \"Max exposure time per frame\", \"bbox\": [49, 90, 156, 100]}, {\"cell\": \"Eclipse time/Min number of frames\", \"bbox\": [167, 90, 298, 100]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [357, 90, 368, 100]}, {\"cell\": \"6\", \"bbox\": [19, 134, 25, 144]}, {\"cell\": \"Exposure time limit (t<sub>lim</sub>) to avoid saturation \", \"bbox\": [52, 129, 153, 149]}, {\"cell\": \"Compute the detector voltage corresponding to the incoming photon flux for one frame. Find the exposure time to get the higher voltage value without saturation. The star flux is spread on 10 × 10 pix.\", \"bbox\": [166, 104, 299, 174]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [322, 109, 404, 170]}, {\"cell\": \"7\", \"bbox\": [19, 202, 25, 213]}, {\"cell\": \"Number of co-added frames \", \"bbox\": [51, 202, 154, 213]}, {\"cell\": \"Compute the number of co-added frames required to get a S/N of 10<sup>5</sup> (star signal of 10<sup>10</sup>).\", \"bbox\": [169, 192, 296, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [309, 178, 416, 237]}, {\"cell\": \"8\", \"bbox\": [19, 266, 25, 276]}, {\"cell\": \"Verify the compliance with the duty cycle time constraint. \", \"bbox\": [47, 261, 157, 281]}, {\"cell\": \"t = frames × tlim\", \"bbox\": [201, 266, 264, 276]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [323, 241, 403, 301]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5375779_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}961{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>S. No.</b></td><td><b>Retention time (min)</b></td><td><b>Concentration (%)</b></td><td><b>Constituents</b></td><td><b>Mass fragmentation pattern</b></td><td><b>Match with library</b></td></tr></thead><tbody><tr><td>1</td><td>30.500</td><td>[EMPTY_CELL]</td><td>caryophyllene</td><td>[M+] 204, 189,175,161, 147, 133, 120, 105, 93, 79, 69, 55, 51</td><td>NIST147.LIB</td></tr><tr><td>2</td><td>31.688</td><td>[EMPTY_CELL]</td><td>α-humulene</td><td>[M+] 204, 147, 121, 107, 93, 80, 67, 53</td><td>WILEY7.LIB</td></tr><tr><td>3</td><td>33.782</td><td>[EMPTY_CELL]</td><td>(+)- aromadendrene</td><td>[M+] 204, 187, 161, 147, 134, 119, 106, 96, 81, 69, 55, 51</td><td>WILEY7.LIB</td></tr><tr><td>4</td><td>33.842</td><td>[EMPTY_CELL]</td><td>naphthalene, 1,2,3,4-tetra hydro-1,6-dimethyle-4-(1-methyl)-, (1S-cis)</td><td>[M+] 202, 159, 144, 131, 105, 69</td><td>WILEY7.LIB</td></tr><tr><td>5</td><td>35898</td><td>[EMPTY_CELL]</td><td>(−)-caryophyllene oxide</td><td>[M+] 173, 164, 149, 135, 123, 107, 96, 79, 69, 55, 53</td><td>WILEY7.LIB</td></tr><tr><td>6</td><td>40.466</td><td>[EMPTY_CELL]</td><td>trans- caryophyllene</td><td>[M+] 236, 203, 189, 175, 161, 147, 133, 119, 105, 91, 79, 69, 55, 51</td><td>WILEY7.LIB</td></tr><tr><td>7</td><td>45.419</td><td>[EMPTY_CELL]</td><td>methyl hexadecanoate</td><td>[M+] 270, 239, 227, 199, 185, 171, 161, 143, 129, 119, 101, 87, 74, 69, 55</td><td>WILEY7.LIB</td></tr><tr><td>8</td><td>52.073</td><td>[EMPTY_CELL]</td><td>phenol,4-(3,7-dimethyl-3-ethenylocta-1,6-dienyl)</td><td>[M+] 256, 213, 185, 173, 158, 145, 127, 121, 107, 93, 83, 69, 55, 53</td><td>NIST147.LIB</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>S. No.</b>\", \"bbox\": [1, 4, 14, 22]}, {\"cell\": \"<b>Retention time (min)</b>\", \"bbox\": [20, 4, 58, 22]}, {\"cell\": \"<b>Concentration (%)</b>\", \"bbox\": [74, 4, 125, 22]}, {\"cell\": \"<b>Constituents</b>\", \"bbox\": [131, 4, 177, 13]}, {\"cell\": \"<b>Mass fragmentation pattern</b>\", \"bbox\": [282, 4, 381, 13]}, {\"cell\": \"<b>Match with library</b>\", \"bbox\": [440, 4, 481, 22]}, {\"cell\": \"1\", \"bbox\": [1, 26, 6, 36]}, {\"cell\": \"30.500\", \"bbox\": [20, 26, 42, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 26, 93, 36]}, {\"cell\": \"caryophyllene\", \"bbox\": [131, 26, 178, 36]}, {\"cell\": \"[M+] 204, 189,175,161, 147, 133, 120, 105, 93, 79, 69, 55, 51\", \"bbox\": [282, 26, 427, 45]}, {\"cell\": \"NIST147.LIB\", \"bbox\": [440, 26, 478, 36]}, {\"cell\": \"2\", \"bbox\": [1, 48, 6, 58]}, {\"cell\": \"31.688\", \"bbox\": [20, 48, 42, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 48, 89, 58]}, {\"cell\": \"α-humulene\", \"bbox\": [131, 48, 173, 58]}, {\"cell\": \"[M+] 204, 147, 121, 107, 93, 80, 67, 53\", \"bbox\": [282, 48, 404, 58]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 48, 476, 58]}, {\"cell\": \"3\", \"bbox\": [1, 61, 6, 71]}, {\"cell\": \"33.782\", \"bbox\": [20, 61, 42, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 61, 89, 71]}, {\"cell\": \"(+)- aromadendrene\", \"bbox\": [131, 61, 198, 71]}, {\"cell\": \"[M+] 204, 187, 161, 147, 134, 119, 106, 96, 81, 69, 55, 51\", \"bbox\": [282, 61, 428, 80]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 61, 476, 71]}, {\"cell\": \"4\", \"bbox\": [1, 84, 6, 93]}, {\"cell\": \"33.842\", \"bbox\": [20, 84, 42, 93]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 84, 89, 93]}, {\"cell\": \"naphthalene, 1,2,3,4-tetra hydro-1,6-dimethyle-4-(1-methyl)-, (1S-cis)\", \"bbox\": [131, 84, 248, 102]}, {\"cell\": \"[M+] 202, 159, 144, 131, 105, 69\", \"bbox\": [282, 84, 385, 93]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 84, 476, 93]}, {\"cell\": \"5\", \"bbox\": [1, 106, 6, 115]}, {\"cell\": \"35898\", \"bbox\": [20, 106, 41, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 106, 93, 115]}, {\"cell\": \"(−)-caryophyllene oxide\", \"bbox\": [131, 106, 209, 115]}, {\"cell\": \"[M+] 173, 164, 149, 135, 123, 107, 96, 79, 69, 55, 53\", \"bbox\": [282, 106, 436, 124]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 106, 476, 115]}, {\"cell\": \"6\", \"bbox\": [1, 128, 6, 137]}, {\"cell\": \"40.466\", \"bbox\": [20, 128, 42, 137]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 128, 89, 137]}, {\"cell\": \"trans- caryophyllene\", \"bbox\": [131, 128, 198, 137]}, {\"cell\": \"[M+] 236, 203, 189, 175, 161, 147, 133, 119, 105, 91, 79, 69, 55, 51\", \"bbox\": [282, 128, 436, 146]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 128, 476, 137]}, {\"cell\": \"7\", \"bbox\": [1, 150, 6, 159]}, {\"cell\": \"45.419\", \"bbox\": [20, 150, 42, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 150, 89, 159]}, {\"cell\": \"methyl hexadecanoate\", \"bbox\": [131, 150, 206, 159]}, {\"cell\": \"[M+] 270, 239, 227, 199, 185, 171, 161, 143, 129, 119, 101, 87, 74, 69, 55\", \"bbox\": [282, 150, 436, 169]}, {\"cell\": \"WILEY7.LIB\", \"bbox\": [440, 150, 476, 159]}, {\"cell\": \"8\", \"bbox\": [1, 172, 6, 182]}, {\"cell\": \"52.073\", \"bbox\": [20, 172, 42, 182]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [74, 172, 93, 182]}, {\"cell\": \"phenol,4-(3,7-dimethyl-3-ethenylocta-1,6-dienyl)\", \"bbox\": [131, 172, 264, 191]}, {\"cell\": \"[M+] 256, 213, 185, 173, 158, 145, 127, 121, 107, 93, 83, 69, 55, 53\", \"bbox\": [282, 172, 436, 191]}, {\"cell\": \"NIST147.LIB\", \"bbox\": [440, 172, 478, 182]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3573908_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}962{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Severity Score Risk Classification</b></td><td><b>Score</b></td><td><b>N</b></td><td><b>Predicted Mortality (%)</b></td><td><b>Observed Mortality (%) (95% Confidence Interval)</b></td><td><b>C-statistic</b></td></tr></thead><tbody><tr><td colspan=\\\"6\\\">CURB-65 (<i>N</i> = 1011)</td></tr><tr><td> Low risk</td><td>0 or 1</td><td>848</td><td>1.5</td><td>6.4 (4.8–8.2)</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td> Intermediate risk</td><td>2</td><td>140</td><td>9.2</td><td>12.7 (7.8–19.6)</td></tr><tr><td> High risk</td><td>≥3</td><td>23</td><td>22.0</td><td>34.8 (15.3–54.3)</td></tr><tr><td colspan=\\\"6\\\">CRB-65 (<i>N</i> = 1332)</td></tr><tr><td> Low risk</td><td>0</td><td>905</td><td>1.2</td><td>6.5 (5.0–8.3)</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td> Intermediate risk</td><td>1 or 2</td><td>427</td><td>8.2</td><td>9.6 (7.0–12.8)</td></tr><tr><td> High risk</td><td>3 or 4</td><td>0</td><td>31.0</td><td>0</td></tr><tr><td colspan=\\\"6\\\">CTA (<i>N</i> = 1011)</td></tr><tr><td> Stage 1</td><td>−</td><td>815</td><td>2.3</td><td>6.9 (5.2–8.8)</td><td rowspan=\\\"5\\\">[EMPTY_CELL]</td></tr><tr><td> Stage 2</td><td>−</td><td>114</td><td>5.8</td><td>7.0 (3.1–13.4)</td></tr><tr><td> Stage 3</td><td>−</td><td>25</td><td>12.9</td><td>36.0 (18.0–57.5)</td></tr><tr><td> Stage 4</td><td>−</td><td>52</td><td>22.0</td><td>7.7 (2.1–18.5)</td></tr><tr><td> Stage 5</td><td>−</td><td>5</td><td>40.5</td><td>60.0 (14.7–94.7)</td></tr><tr><td colspan=\\\"6\\\">CURB-45 (<i>N</i> = 1011)</td></tr><tr><td> Low risk</td><td>0 or 1</td><td>751</td><td>−</td><td>4.9 (3.5–6.7)</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td></tr><tr><td> Intermediate risk</td><td>2</td><td>204</td><td>−</td><td>12.8 (8.5–18.1)</td></tr><tr><td> High risk</td><td>≥3</td><td>56</td><td>−</td><td>21.3 (18.8–44.1)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Severity Score Risk Classification</b>\", \"bbox\": [1, 4, 104, 13]}, {\"cell\": \"<b>Score</b>\", \"bbox\": [120, 4, 140, 13]}, {\"cell\": \"<b>N</b>\", \"bbox\": [157, 4, 164, 13]}, {\"cell\": \"<b>Predicted Mortality (%)</b>\", \"bbox\": [186, 4, 261, 13]}, {\"cell\": \"<b>Observed Mortality (%) (95% Confidence Interval)</b>\", \"bbox\": [277, 4, 436, 13]}, {\"cell\": \"<b>C-statistic</b>\", \"bbox\": [452, 4, 484, 13]}, {\"cell\": \"CURB-65 (<i>N</i> = 1011)\", \"bbox\": [1, 17, 65, 27]}, {\"cell\": \" Low risk\", \"bbox\": [9, 31, 37, 41]}, {\"cell\": \"0 or 1\", \"bbox\": [120, 31, 141, 41]}, {\"cell\": \"848\", \"bbox\": [157, 31, 170, 41]}, {\"cell\": \"1.5\", \"bbox\": [186, 31, 197, 41]}, {\"cell\": \"6.4 (4.8–8.2)\", \"bbox\": [277, 31, 316, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 31, 471, 41]}, {\"cell\": \" Intermediate risk\", \"bbox\": [9, 45, 64, 55]}, {\"cell\": \"2\", \"bbox\": [120, 45, 126, 55]}, {\"cell\": \"140\", \"bbox\": [157, 45, 170, 55]}, {\"cell\": \"9.2\", \"bbox\": [186, 45, 197, 55]}, {\"cell\": \"12.7 (7.8–19.6)\", \"bbox\": [277, 45, 324, 55]}, {\"cell\": \" High risk\", \"bbox\": [9, 59, 38, 69]}, {\"cell\": \"≥3\", \"bbox\": [120, 59, 131, 69]}, {\"cell\": \"23\", \"bbox\": [157, 59, 167, 69]}, {\"cell\": \"22.0\", \"bbox\": [186, 59, 201, 69]}, {\"cell\": \"34.8 (15.3–54.3)\", \"bbox\": [277, 59, 328, 69]}, {\"cell\": \"CRB-65 (<i>N</i> = 1332)\", \"bbox\": [1, 73, 60, 83]}, {\"cell\": \" Low risk\", \"bbox\": [9, 87, 37, 97]}, {\"cell\": \"0\", \"bbox\": [120, 87, 126, 97]}, {\"cell\": \"905\", \"bbox\": [157, 87, 170, 97]}, {\"cell\": \"1.2\", \"bbox\": [186, 87, 197, 97]}, {\"cell\": \"6.5 (5.0–8.3)\", \"bbox\": [277, 87, 316, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 87, 471, 97]}, {\"cell\": \" Intermediate risk\", \"bbox\": [9, 101, 64, 111]}, {\"cell\": \"1 or 2\", \"bbox\": [120, 101, 141, 111]}, {\"cell\": \"427\", \"bbox\": [157, 101, 170, 111]}, {\"cell\": \"8.2\", \"bbox\": [186, 101, 197, 111]}, {\"cell\": \"9.6 (7.0–12.8)\", \"bbox\": [277, 101, 320, 111]}, {\"cell\": \" High risk\", \"bbox\": [9, 115, 38, 125]}, {\"cell\": \"3 or 4\", \"bbox\": [120, 115, 141, 125]}, {\"cell\": \"0\", \"bbox\": [157, 115, 163, 125]}, {\"cell\": \"31.0\", \"bbox\": [186, 115, 201, 125]}, {\"cell\": \"0\", \"bbox\": [277, 115, 283, 125]}, {\"cell\": \"CTA (<i>N</i> = 1011)\", \"bbox\": [1, 129, 50, 139]}, {\"cell\": \" Stage 1\", \"bbox\": [9, 143, 35, 153]}, {\"cell\": \"−\", \"bbox\": [120, 143, 127, 151]}, {\"cell\": \"815\", \"bbox\": [157, 143, 170, 153]}, {\"cell\": \"2.3\", \"bbox\": [186, 143, 197, 153]}, {\"cell\": \"6.9 (5.2–8.8)\", \"bbox\": [277, 143, 316, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 143, 471, 153]}, {\"cell\": \" Stage 2\", \"bbox\": [9, 157, 35, 167]}, {\"cell\": \"−\", \"bbox\": [120, 157, 127, 165]}, {\"cell\": \"114\", \"bbox\": [157, 157, 170, 167]}, {\"cell\": \"5.8\", \"bbox\": [186, 157, 197, 167]}, {\"cell\": \"7.0 (3.1–13.4)\", \"bbox\": [277, 157, 320, 167]}, {\"cell\": \" Stage 3\", \"bbox\": [9, 171, 35, 180]}, {\"cell\": \"−\", \"bbox\": [120, 171, 127, 179]}, {\"cell\": \"25\", \"bbox\": [157, 171, 167, 180]}, {\"cell\": \"12.9\", \"bbox\": [186, 171, 201, 180]}, {\"cell\": \"36.0 (18.0–57.5)\", \"bbox\": [277, 171, 328, 180]}, {\"cell\": \" Stage 4\", \"bbox\": [9, 185, 35, 194]}, {\"cell\": \"−\", \"bbox\": [120, 185, 127, 193]}, {\"cell\": \"52\", \"bbox\": [157, 185, 167, 194]}, {\"cell\": \"22.0\", \"bbox\": [186, 185, 201, 194]}, {\"cell\": \"7.7 (2.1–18.5)\", \"bbox\": [277, 185, 320, 194]}, {\"cell\": \" Stage 5\", \"bbox\": [9, 199, 35, 208]}, {\"cell\": \"−\", \"bbox\": [120, 199, 127, 207]}, {\"cell\": \"5\", \"bbox\": [157, 199, 163, 208]}, {\"cell\": \"40.5\", \"bbox\": [186, 199, 201, 208]}, {\"cell\": \"60.0 (14.7–94.7)\", \"bbox\": [277, 199, 328, 208]}, {\"cell\": \"CURB-45 (<i>N</i> = 1011)\", \"bbox\": [1, 213, 65, 222]}, {\"cell\": \" Low risk\", \"bbox\": [9, 227, 37, 236]}, {\"cell\": \"0 or 1\", \"bbox\": [120, 227, 141, 236]}, {\"cell\": \"751\", \"bbox\": [157, 227, 170, 236]}, {\"cell\": \"−\", \"bbox\": [186, 227, 193, 235]}, {\"cell\": \"4.9 (3.5–6.7)\", \"bbox\": [277, 227, 316, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [452, 227, 471, 236]}, {\"cell\": \" Intermediate risk\", \"bbox\": [9, 241, 64, 250]}, {\"cell\": \"2\", \"bbox\": [120, 241, 126, 250]}, {\"cell\": \"204\", \"bbox\": [157, 241, 170, 250]}, {\"cell\": \"−\", \"bbox\": [186, 241, 193, 249]}, {\"cell\": \"12.8 (8.5–18.1)\", \"bbox\": [277, 241, 324, 250]}, {\"cell\": \" High risk\", \"bbox\": [9, 255, 38, 264]}, {\"cell\": \"≥3\", \"bbox\": [120, 255, 131, 264]}, {\"cell\": \"56\", \"bbox\": [157, 255, 167, 264]}, {\"cell\": \"−\", \"bbox\": [186, 255, 193, 263]}, {\"cell\": \"21.3 (18.8–44.1)\", \"bbox\": [277, 255, 328, 264]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5288997_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}963{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Cell type</b></td><td><b>pO<sub>2</sub>modulation</b></td><td><b>Cell differentiation/ mechanism</b></td><td><b>Ref.</b></td></tr></thead><tbody><tr><td>BM-MSCs</td><td>[EMPTY_CELL]</td><td>Dopaminergic neuron-like cells/HIF-1α dependent activation of EPO, VEGF, p21</td><td>[115]</td></tr><tr><td>Rat MSCs</td><td>[EMPTY_CELL]</td><td>Increased chondrogenesis/activation of HIF-1α, Akt, p38 MAPK, SOX-9</td><td>[119]</td></tr><tr><td>Human MSCs</td><td>[EMPTY_CELL]</td><td>Inhibited osteogenesis/ HIF-1α dependent inhibition of RUNX2</td><td>[121]</td></tr><tr><td>MSCs</td><td>[EMPTY_CELL]</td><td>Inhibited hypertrophic chondrogenesis</td><td>[122]</td></tr><tr><td>BM-MSCs</td><td>[EMPTY_CELL]</td><td>Increased chondrogenesis/ HIF-1α dependent stimulation of SOX-9</td><td>[123]</td></tr><tr><td>Human BM-MSCs</td><td>[EMPTY_CELL]</td><td>Increased chondrogenesis</td><td>[124]</td></tr><tr><td>Human ADSCc</td><td>[EMPTY_CELL]</td><td>Increased chondrogenesis</td><td>[126]</td></tr><tr><td>ADSCc</td><td>[EMPTY_CELL]</td><td>Decreased chondrogenesis and osteogenesis</td><td>[127]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Cell type</b>\", \"bbox\": [1, 4, 33, 13]}, {\"cell\": \"<b>pO<sub>2</sub>modulation</b>\", \"bbox\": [91, 4, 149, 14]}, {\"cell\": \"<b>Cell differentiation/ mechanism</b>\", \"bbox\": [281, 4, 393, 13]}, {\"cell\": \"<b>Ref.</b>\", \"bbox\": [467, 4, 482, 13]}, {\"cell\": \"BM-MSCs\", \"bbox\": [1, 17, 32, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 17, 111, 27]}, {\"cell\": \"Dopaminergic neuron-like cells/HIF-1α dependent activation of EPO, VEGF, p21\", \"bbox\": [281, 17, 412, 36]}, {\"cell\": \"[115]\", \"bbox\": [467, 17, 484, 27]}, {\"cell\": \"Rat MSCs\", \"bbox\": [1, 40, 32, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 40, 157, 50]}, {\"cell\": \"Increased chondrogenesis/activation of HIF-1α, Akt, p38 MAPK, SOX-9\", \"bbox\": [281, 40, 433, 59]}, {\"cell\": \"[119]\", \"bbox\": [467, 40, 484, 50]}, {\"cell\": \"Human MSCs\", \"bbox\": [1, 63, 46, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 63, 157, 73]}, {\"cell\": \"Inhibited osteogenesis/ HIF-1α dependent inhibition of RUNX2\", \"bbox\": [281, 63, 419, 82]}, {\"cell\": \"[121]\", \"bbox\": [467, 63, 484, 73]}, {\"cell\": \"MSCs\", \"bbox\": [1, 86, 20, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 86, 157, 96]}, {\"cell\": \"Inhibited hypertrophic chondrogenesis\", \"bbox\": [281, 86, 408, 96]}, {\"cell\": \"[122]\", \"bbox\": [467, 86, 484, 96]}, {\"cell\": \"BM-MSCs\", \"bbox\": [1, 100, 32, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 100, 215, 110]}, {\"cell\": \"Increased chondrogenesis/ HIF-1α dependent stimulation of SOX-9\", \"bbox\": [281, 100, 393, 119]}, {\"cell\": \"[123]\", \"bbox\": [467, 100, 484, 110]}, {\"cell\": \"Human BM-MSCs\", \"bbox\": [1, 123, 58, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 123, 224, 133]}, {\"cell\": \"Increased chondrogenesis\", \"bbox\": [281, 123, 367, 133]}, {\"cell\": \"[124]\", \"bbox\": [467, 123, 484, 133]}, {\"cell\": \"Human ADSCc\", \"bbox\": [1, 137, 50, 147]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 137, 248, 147]}, {\"cell\": \"Increased chondrogenesis\", \"bbox\": [281, 137, 367, 147]}, {\"cell\": \"[126]\", \"bbox\": [467, 137, 484, 147]}, {\"cell\": \"ADSCc\", \"bbox\": [1, 151, 24, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [91, 151, 194, 161]}, {\"cell\": \"Decreased chondrogenesis and osteogenesis\", \"bbox\": [281, 151, 428, 161]}, {\"cell\": \"[127]\", \"bbox\": [467, 151, 484, 161]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3765890_007_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}964{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>All (n = 649)</b></td><td><b>Men (n = 230)</b></td><td><b>Women (n = 419)</b></td><td rowspan=\\\"2\\\"><b>Pa</b></td><td><b>CEb (n = 168)</b></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>MDc (n = 201)</b></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>DCd (n = 144)</b></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>GHe (n = 136)</b></td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\"><b>Pf</b></td></tr><tr><td><b>Mean (SD)</b></td><td><b>Mean (SD)</b></td><td><b>Mean (SD)</b></td><td><b>Mean (SD)</b></td><td><b>Mean (SD)</b></td><td><b>Mean (SD)</b></td><td><b>Mean (SD)</b></td></tr></thead><tbody><tr><td>Age (yrs)</td><td>80.4 (8.4)</td><td>77.2 (8.4)</td><td>82.3 (7.7)</td><td><0.001</td><td>73.5 (5.9)</td><td>u,v,wg</td><td>81.2 (8.1)</td><td>[EMPTY_CELL]</td><td>83.6 (7.5)</td><td>v,y</td><td>84.4 (7.1)</td><td>w,z</td><td><0.001</td></tr><tr><td>Height (cm)</td><td>152.6 (9.9)</td><td>162.3 (6.7)</td><td>147.3 (6.9)</td><td><0.001</td><td>156.7 (9.3)</td><td>u,v,w</td><td>153.9 (9.4)</td><td>[EMPTY_CELL]</td><td>150.5 (10.2)</td><td>v,y</td><td>147.6 (8.6)</td><td>w,z</td><td><0.001</td></tr><tr><td>Weight (kg)</td><td>51.5 (10.8)</td><td>59.1 (9.4)</td><td>47.2 (9.1)</td><td><0.001</td><td>56.9 (10.5)</td><td>u,v,w</td><td>50.4 (10.4)</td><td>[EMPTY_CELL]</td><td>50.7 (10.7)</td><td>v,y</td><td>47.2 (9.3)</td><td>w,x,y</td><td><0.001</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>22.0 (3.7)</td><td>22.4 (3.1)</td><td>21.8 (3.9)</td><td><0.001</td><td>23.1 (3.4)</td><td>u,v</td><td>21.2 (3.3)</td><td>[EMPTY_CELL]</td><td>22.3 (4.0)</td><td>w</td><td>21.7 (3.8)</td><td>v</td><td><0.001</td></tr><tr><td rowspan=\\\"2\\\">CDR score</td><td colspan=\\\"3\\\">MD + DC + GH groups</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">CE (n = 168)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">MD (n = 201)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">DC (n = 144)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">GH (n = 136)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td></tr><tr><td>All (n = 481)</td><td>Men (n = 145)</td><td>Women (n = 336)</td></tr><tr><td>0</td><td>22.7 (%)</td><td>27.8</td><td>20.5</td><td>0.087h</td><td>NA</td><td>[EMPTY_CELL]</td><td>0.3</td><td>[EMPTY_CELL]</td><td>34.1</td><td>[EMPTY_CELL]</td><td>0.0</td><td>[EMPTY_CELL]</td><td><0.001h</td></tr><tr><td>0.5</td><td>19.6</td><td>21.6</td><td>18.8</td><td>[EMPTY_CELL]</td><td>NA</td><td>[EMPTY_CELL]</td><td>32.0</td><td>[EMPTY_CELL]</td><td>0.0</td><td>[EMPTY_CELL]</td><td>11.3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>1</td><td>34.4</td><td>27.8</td><td>37.3</td><td>[EMPTY_CELL]</td><td>NA</td><td>[EMPTY_CELL]</td><td>20.7</td><td>[EMPTY_CELL]</td><td>57.1</td><td>[EMPTY_CELL]</td><td>42.7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>2</td><td>15.3</td><td>13.6</td><td>16.0</td><td>[EMPTY_CELL]</td><td>NA</td><td>[EMPTY_CELL]</td><td>9.3</td><td>[EMPTY_CELL]</td><td>6.3</td><td>[EMPTY_CELL]</td><td>34.7</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>3</td><td>8.0</td><td>9.1</td><td>7.5</td><td>[EMPTY_CELL]</td><td>NA</td><td>[EMPTY_CELL]</td><td>8.7</td><td>[EMPTY_CELL]</td><td>2.4</td><td>[EMPTY_CELL]</td><td>11.3</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All (n = 649)</b>\", \"bbox\": [48, 6, 90, 15]}, {\"cell\": \"<b>Men (n = 230)</b>\", \"bbox\": [92, 6, 139, 15]}, {\"cell\": \"<b>Women (n = 419)</b>\", \"bbox\": [141, 6, 199, 15]}, {\"cell\": \"<b>Pa</b>\", \"bbox\": [201, 5, 209, 15]}, {\"cell\": \"<b>CEb (n = 168)</b>\", \"bbox\": [226, 5, 270, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>MDc (n = 201)</b>\", \"bbox\": [296, 5, 342, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>DCd (n = 144)</b>\", \"bbox\": [362, 5, 407, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>GHe (n = 136)</b>\", \"bbox\": [422, 5, 468, 15]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Pf</b>\", \"bbox\": [490, 5, 498, 15]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [48, 20, 82, 28]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [92, 20, 126, 28]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [141, 20, 175, 28]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [226, 20, 260, 28]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [296, 20, 329, 28]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [362, 20, 396, 28]}, {\"cell\": \"<b>Mean (SD)</b>\", \"bbox\": [422, 20, 456, 28]}, {\"cell\": \"Age (yrs)\", \"bbox\": [6, 33, 36, 41]}, {\"cell\": \"80.4 (8.4)\", \"bbox\": [48, 33, 79, 41]}, {\"cell\": \"77.2 (8.4)\", \"bbox\": [92, 33, 123, 41]}, {\"cell\": \"82.3 (7.7)\", \"bbox\": [141, 33, 172, 41]}, {\"cell\": \"<0.001\", \"bbox\": [201, 33, 224, 41]}, {\"cell\": \"73.5 (5.9)\", \"bbox\": [226, 33, 257, 41]}, {\"cell\": \"u,v,wg\", \"bbox\": [272, 31, 293, 41]}, {\"cell\": \"81.2 (8.1)\", \"bbox\": [296, 33, 326, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 33, 360, 41]}, {\"cell\": \"83.6 (7.5)\", \"bbox\": [362, 33, 393, 41]}, {\"cell\": \"v,y\", \"bbox\": [409, 33, 420, 41]}, {\"cell\": \"84.4 (7.1)\", \"bbox\": [422, 33, 453, 41]}, {\"cell\": \"w,z\", \"bbox\": [470, 33, 483, 41]}, {\"cell\": \"<0.001\", \"bbox\": [490, 33, 514, 41]}, {\"cell\": \"Height (cm)\", \"bbox\": [6, 41, 45, 50]}, {\"cell\": \"152.6 (9.9)\", \"bbox\": [48, 41, 83, 50]}, {\"cell\": \"162.3 (6.7)\", \"bbox\": [92, 41, 127, 50]}, {\"cell\": \"147.3 (6.9)\", \"bbox\": [141, 41, 176, 50]}, {\"cell\": \"<0.001\", \"bbox\": [201, 41, 224, 50]}, {\"cell\": \"156.7 (9.3)\", \"bbox\": [226, 41, 261, 50]}, {\"cell\": \"u,v,w\", \"bbox\": [272, 41, 291, 50]}, {\"cell\": \"153.9 (9.4)\", \"bbox\": [296, 41, 330, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 41, 360, 50]}, {\"cell\": \"150.5 (10.2)\", \"bbox\": [362, 41, 401, 50]}, {\"cell\": \"v,y\", \"bbox\": [409, 41, 420, 50]}, {\"cell\": \"147.6 (8.6)\", \"bbox\": [422, 41, 457, 50]}, {\"cell\": \"w,z\", \"bbox\": [470, 41, 483, 50]}, {\"cell\": \"<0.001\", \"bbox\": [490, 41, 514, 50]}, {\"cell\": \"Weight (kg)\", \"bbox\": [6, 50, 45, 58]}, {\"cell\": \"51.5 (10.8)\", \"bbox\": [48, 50, 83, 58]}, {\"cell\": \"59.1 (9.4)\", \"bbox\": [92, 50, 123, 58]}, {\"cell\": \"47.2 (9.1)\", \"bbox\": [141, 50, 172, 58]}, {\"cell\": \"<0.001\", \"bbox\": [201, 50, 224, 58]}, {\"cell\": \"56.9 (10.5)\", \"bbox\": [226, 50, 261, 58]}, {\"cell\": \"u,v,w\", \"bbox\": [272, 50, 291, 58]}, {\"cell\": \"50.4 (10.4)\", \"bbox\": [296, 50, 330, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 50, 355, 58]}, {\"cell\": \"50.7 (10.7)\", \"bbox\": [362, 50, 397, 58]}, {\"cell\": \"v,y\", \"bbox\": [409, 50, 420, 58]}, {\"cell\": \"47.2 (9.3)\", \"bbox\": [422, 50, 453, 58]}, {\"cell\": \"w,x,y\", \"bbox\": [470, 50, 488, 58]}, {\"cell\": \"<0.001\", \"bbox\": [490, 50, 514, 58]}, {\"cell\": \"BMI (kg/m<sup>2</sup>)\", \"bbox\": [6, 57, 46, 67]}, {\"cell\": \"22.0 (3.7)\", \"bbox\": [48, 58, 79, 67]}, {\"cell\": \"22.4 (3.1)\", \"bbox\": [92, 58, 123, 67]}, {\"cell\": \"21.8 (3.9)\", \"bbox\": [141, 58, 172, 67]}, {\"cell\": \"<0.001\", \"bbox\": [201, 58, 224, 67]}, {\"cell\": \"23.1 (3.4)\", \"bbox\": [226, 58, 257, 67]}, {\"cell\": \"u,v\", \"bbox\": [272, 58, 283, 67]}, {\"cell\": \"21.2 (3.3)\", \"bbox\": [296, 58, 326, 67]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [344, 58, 357, 67]}, {\"cell\": \"22.3 (4.0)\", \"bbox\": [362, 58, 393, 67]}, {\"cell\": \"w\", \"bbox\": [409, 58, 417, 67]}, {\"cell\": \"21.7 (3.8)\", \"bbox\": [422, 58, 453, 67]}, {\"cell\": \"v\", \"bbox\": [470, 58, 476, 67]}, {\"cell\": \"<0.001\", \"bbox\": [490, 58, 514, 67]}, {\"cell\": \"CDR score\", \"bbox\": [6, 72, 39, 80]}, {\"cell\": \"MD + DC + GH groups\", \"bbox\": [48, 72, 120, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"CE (n = 168)\", \"bbox\": [226, 72, 267, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"MD (n = 201)\", \"bbox\": [296, 72, 340, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"DC (n = 144)\", \"bbox\": [362, 72, 404, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"GH (n = 136)\", \"bbox\": [422, 72, 465, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"All (n = 481)\", \"bbox\": [48, 85, 90, 93]}, {\"cell\": \"Men (n = 145)\", \"bbox\": [92, 85, 123, 102]}, {\"cell\": \"Women (n = 336)\", \"bbox\": [141, 85, 172, 102]}, {\"cell\": \"0\", \"bbox\": [6, 106, 12, 115]}, {\"cell\": \"22.7 (%)\", \"bbox\": [48, 106, 74, 115]}, {\"cell\": \"27.8\", \"bbox\": [92, 106, 107, 115]}, {\"cell\": \"20.5\", \"bbox\": [141, 106, 156, 115]}, {\"cell\": \"0.087h\", \"bbox\": [201, 105, 222, 115]}, {\"cell\": \"NA\", \"bbox\": [226, 106, 237, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.3\", \"bbox\": [296, 106, 307, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"34.1\", \"bbox\": [362, 106, 377, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.0\", \"bbox\": [422, 106, 434, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<0.001h\", \"bbox\": [490, 105, 517, 115]}, {\"cell\": \"0.5\", \"bbox\": [6, 115, 18, 123]}, {\"cell\": \"19.6\", \"bbox\": [48, 115, 63, 123]}, {\"cell\": \"21.6\", \"bbox\": [92, 115, 107, 123]}, {\"cell\": \"18.8\", \"bbox\": [141, 115, 156, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NA\", \"bbox\": [226, 115, 237, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"32.0\", \"bbox\": [296, 115, 310, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.0\", \"bbox\": [362, 115, 373, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11.3\", \"bbox\": [422, 115, 437, 123]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1\", \"bbox\": [6, 124, 12, 132]}, {\"cell\": \"34.4\", \"bbox\": [48, 124, 63, 132]}, {\"cell\": \"27.8\", \"bbox\": [92, 124, 107, 132]}, {\"cell\": \"37.3\", \"bbox\": [141, 124, 156, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NA\", \"bbox\": [226, 124, 237, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20.7\", \"bbox\": [296, 124, 310, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"57.1\", \"bbox\": [362, 124, 377, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"42.7\", \"bbox\": [422, 124, 437, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2\", \"bbox\": [6, 132, 12, 141]}, {\"cell\": \"15.3\", \"bbox\": [48, 132, 63, 141]}, {\"cell\": \"13.6\", \"bbox\": [92, 132, 107, 141]}, {\"cell\": \"16.0\", \"bbox\": [141, 132, 156, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NA\", \"bbox\": [226, 132, 237, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"9.3\", \"bbox\": [296, 132, 307, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"6.3\", \"bbox\": [362, 132, 373, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"34.7\", \"bbox\": [422, 132, 437, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"3\", \"bbox\": [6, 141, 12, 149]}, {\"cell\": \"8.0\", \"bbox\": [48, 141, 59, 149]}, {\"cell\": \"9.1\", \"bbox\": [92, 141, 103, 149]}, {\"cell\": \"7.5\", \"bbox\": [141, 141, 152, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"NA\", \"bbox\": [226, 141, 237, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"8.7\", \"bbox\": [296, 141, 307, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"2.4\", \"bbox\": [362, 141, 373, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"11.3\", \"bbox\": [422, 141, 437, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5608592_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}965{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"3\\\"><b>All notified TB cases</b></td><td colspan=\\\"3\\\"><b>Confirmed TB cases</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>Person years</b></td><td><b>Cases</b></td><td><b>IRR (95% CI)</b></td><td><b>Person years</b></td><td><b>Cases</b></td><td><b>IRR (95% CI)</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>1,032</td><td>46</td><td>1 (ref)</td><td>1,086</td><td>27</td><td>1 (ref)</td></tr><tr><td>[EMPTY_CELL]</td><td>3.6</td><td>16</td><td>25 (11–60)</td><td>4.9</td><td>9</td><td>13 (4.4–37)</td></tr><tr><td>[EMPTY_CELL]</td><td>39</td><td>4</td><td>0.8 (0.3–2.5)</td><td>55</td><td>3</td><td>0.7 (0.2–2.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>498</td><td>19</td><td>1 (ref)</td><td>516</td><td>13</td><td>1 (ref)</td></tr><tr><td>[EMPTY_CELL]</td><td>2.2</td><td>9</td><td>44 (13–153)</td><td>3.1</td><td>5</td><td>13 (2.9–60)</td></tr><tr><td>[EMPTY_CELL]</td><td>23</td><td>3</td><td>1.2 (0.3–4.1)</td><td>32</td><td>3</td><td>1.3 (0.3–5.0)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>534</td><td>27</td><td>1 (ref)</td><td>571</td><td>14</td><td>1 (ref)</td></tr><tr><td>[EMPTY_CELL]</td><td>1.4</td><td>7</td><td>15 (4.3–49)</td><td>1.7</td><td>4</td><td>13 (2.7–59)</td></tr><tr><td>[EMPTY_CELL]</td><td>16</td><td>1</td><td>0.4 (0.1–3.6)</td><td>23</td><td>0</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>743</td><td>27</td><td>1 (ref)</td><td>779</td><td>16</td><td>1 (ref)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.7</td><td>1</td><td>7.7 (0.6–96)</td><td>1,0</td><td>0</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>7.7</td><td>1</td><td>2.6 (0.3–22)</td><td>12</td><td>1</td><td>3,0 (0.3–26)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>113</td><td>19</td><td>1 (ref)</td><td>128</td><td>11</td><td>1 (ref)</td></tr><tr><td>[EMPTY_CELL]</td><td>2.3</td><td>15</td><td>37 (15–90)</td><td>3.2</td><td>9</td><td>40 (12–135)</td></tr><tr><td>[EMPTY_CELL]</td><td>22</td><td>2</td><td>0.5 (0.1–2.2)</td><td>34</td><td>1</td><td>0.3 (0.04–2.4)</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>176</td><td>0</td><td>1 (ref)</td><td>179</td><td>0</td><td>1 (ref)</td></tr><tr><td>[EMPTY_CELL]</td><td>0.6</td><td>0</td><td>NA</td><td>0.6</td><td>0</td><td>NA</td></tr><tr><td>[EMPTY_CELL]</td><td>9.9</td><td>1</td><td>NA</td><td>9.9</td><td>1</td><td>NA</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>All notified TB cases</b>\", \"bbox\": [185, 8, 261, 18]}, {\"cell\": \"<b>Confirmed TB cases</b>\", \"bbox\": [362, 8, 438, 18]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Person years</b>\", \"bbox\": [139, 30, 188, 40]}, {\"cell\": \"<b>Cases</b>\", \"bbox\": [210, 30, 235, 40]}, {\"cell\": \"<b>IRR (95% CI)</b>\", \"bbox\": [257, 30, 306, 40]}, {\"cell\": \"<b>Person years</b>\", \"bbox\": [317, 30, 365, 40]}, {\"cell\": \"<b>Cases</b>\", \"bbox\": [388, 30, 412, 40]}, {\"cell\": \"<b>IRR (95% CI)</b>\", \"bbox\": [435, 30, 484, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 50, 11, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 62, 53, 71]}, {\"cell\": \"1,032\", \"bbox\": [149, 62, 171, 71]}, {\"cell\": \"46\", \"bbox\": [217, 62, 228, 71]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 62, 293, 71]}, {\"cell\": \"1,086\", \"bbox\": [327, 62, 349, 71]}, {\"cell\": \"27\", \"bbox\": [395, 62, 406, 71]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 62, 471, 71]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 74, 80, 83]}, {\"cell\": \"3.6\", \"bbox\": [165, 74, 178, 83]}, {\"cell\": \"16\", \"bbox\": [217, 74, 228, 83]}, {\"cell\": \"25 (11–60)\", \"bbox\": [261, 74, 301, 83]}, {\"cell\": \"4.9\", \"bbox\": [342, 74, 355, 83]}, {\"cell\": \"9\", \"bbox\": [399, 74, 406, 83]}, {\"cell\": \"13 (4.4–37)\", \"bbox\": [437, 74, 479, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 86, 82, 95]}, {\"cell\": \"39\", \"bbox\": [160, 86, 171, 95]}, {\"cell\": \"4\", \"bbox\": [222, 86, 228, 95]}, {\"cell\": \"0.8 (0.3–2.5)\", \"bbox\": [258, 86, 305, 95]}, {\"cell\": \"55\", \"bbox\": [338, 86, 349, 95]}, {\"cell\": \"3\", \"bbox\": [399, 86, 406, 95]}, {\"cell\": \"0.7 (0.2–2.4)\", \"bbox\": [435, 86, 482, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 98, 30, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 110, 53, 119]}, {\"cell\": \"498\", \"bbox\": [156, 110, 171, 119]}, {\"cell\": \"19\", \"bbox\": [217, 110, 228, 119]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 110, 293, 119]}, {\"cell\": \"516\", \"bbox\": [333, 110, 349, 119]}, {\"cell\": \"13\", \"bbox\": [395, 110, 406, 119]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 110, 471, 119]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 121, 80, 131]}, {\"cell\": \"2.2\", \"bbox\": [165, 121, 178, 131]}, {\"cell\": \"9\", \"bbox\": [222, 121, 228, 131]}, {\"cell\": \"44 (13–153)\", \"bbox\": [261, 121, 305, 131]}, {\"cell\": \"3.1\", \"bbox\": [342, 121, 355, 131]}, {\"cell\": \"5\", \"bbox\": [399, 121, 406, 131]}, {\"cell\": \"13 (2.9–60)\", \"bbox\": [437, 121, 479, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 133, 82, 143]}, {\"cell\": \"23\", \"bbox\": [160, 133, 171, 143]}, {\"cell\": \"3\", \"bbox\": [222, 133, 228, 143]}, {\"cell\": \"1.2 (0.3–4.1)\", \"bbox\": [258, 133, 305, 143]}, {\"cell\": \"32\", \"bbox\": [338, 133, 349, 143]}, {\"cell\": \"3\", \"bbox\": [399, 133, 406, 143]}, {\"cell\": \"1.3 (0.3–5.0)\", \"bbox\": [435, 133, 482, 143]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 145, 18, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 157, 53, 167]}, {\"cell\": \"534\", \"bbox\": [156, 157, 171, 167]}, {\"cell\": \"27\", \"bbox\": [217, 157, 228, 167]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 157, 293, 167]}, {\"cell\": \"571\", \"bbox\": [333, 157, 349, 167]}, {\"cell\": \"14\", \"bbox\": [395, 157, 406, 167]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 157, 471, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 169, 80, 179]}, {\"cell\": \"1.4\", \"bbox\": [165, 169, 178, 179]}, {\"cell\": \"7\", \"bbox\": [222, 169, 228, 179]}, {\"cell\": \"15 (4.3–49)\", \"bbox\": [261, 169, 303, 179]}, {\"cell\": \"1.7\", \"bbox\": [342, 169, 355, 179]}, {\"cell\": \"4\", \"bbox\": [399, 169, 406, 179]}, {\"cell\": \"13 (2.7–59)\", \"bbox\": [437, 169, 479, 179]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 181, 82, 191]}, {\"cell\": \"16\", \"bbox\": [160, 181, 171, 191]}, {\"cell\": \"1\", \"bbox\": [222, 181, 228, 191]}, {\"cell\": \"0.4 (0.1–3.6)\", \"bbox\": [258, 181, 305, 191]}, {\"cell\": \"23\", \"bbox\": [338, 181, 349, 191]}, {\"cell\": \"0\", \"bbox\": [399, 181, 406, 191]}, {\"cell\": \"NA\", \"bbox\": [453, 181, 466, 191]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 193, 131, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 205, 53, 215]}, {\"cell\": \"743\", \"bbox\": [156, 205, 171, 215]}, {\"cell\": \"27\", \"bbox\": [217, 205, 228, 215]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 205, 293, 215]}, {\"cell\": \"779\", \"bbox\": [333, 205, 349, 215]}, {\"cell\": \"16\", \"bbox\": [395, 205, 406, 215]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 205, 471, 215]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 217, 80, 227]}, {\"cell\": \"0.7\", \"bbox\": [165, 217, 178, 227]}, {\"cell\": \"1\", \"bbox\": [222, 217, 228, 227]}, {\"cell\": \"7.7 (0.6–96)\", \"bbox\": [258, 217, 303, 227]}, {\"cell\": \"1,0\", \"bbox\": [336, 217, 349, 227]}, {\"cell\": \"0\", \"bbox\": [399, 217, 406, 227]}, {\"cell\": \"NA\", \"bbox\": [453, 217, 466, 227]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 229, 82, 239]}, {\"cell\": \"7.7\", \"bbox\": [165, 229, 178, 239]}, {\"cell\": \"1\", \"bbox\": [222, 229, 228, 239]}, {\"cell\": \"2.6 (0.3–22)\", \"bbox\": [258, 229, 303, 239]}, {\"cell\": \"12\", \"bbox\": [338, 229, 349, 239]}, {\"cell\": \"1\", \"bbox\": [399, 229, 406, 239]}, {\"cell\": \"3,0 (0.3–26)\", \"bbox\": [434, 229, 479, 239]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 241, 117, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 253, 53, 262]}, {\"cell\": \"113\", \"bbox\": [156, 253, 171, 262]}, {\"cell\": \"19\", \"bbox\": [217, 253, 228, 262]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 253, 293, 262]}, {\"cell\": \"128\", \"bbox\": [333, 253, 349, 262]}, {\"cell\": \"11\", \"bbox\": [395, 253, 406, 262]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 253, 471, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 265, 80, 274]}, {\"cell\": \"2.3\", \"bbox\": [165, 265, 178, 274]}, {\"cell\": \"15\", \"bbox\": [217, 265, 228, 274]}, {\"cell\": \"37 (15–90)\", \"bbox\": [261, 265, 301, 274]}, {\"cell\": \"3.2\", \"bbox\": [342, 265, 355, 274]}, {\"cell\": \"9\", \"bbox\": [399, 265, 406, 274]}, {\"cell\": \"40 (12–135)\", \"bbox\": [437, 265, 482, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 277, 82, 286]}, {\"cell\": \"22\", \"bbox\": [160, 277, 171, 286]}, {\"cell\": \"2\", \"bbox\": [222, 277, 228, 286]}, {\"cell\": \"0.5 (0.1–2.2)\", \"bbox\": [258, 277, 305, 286]}, {\"cell\": \"34\", \"bbox\": [338, 277, 349, 286]}, {\"cell\": \"1\", \"bbox\": [399, 277, 406, 286]}, {\"cell\": \"0.3 (0.04–2.4)\", \"bbox\": [434, 277, 485, 286]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 289, 106, 298]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 301, 53, 310]}, {\"cell\": \"176\", \"bbox\": [156, 301, 171, 310]}, {\"cell\": \"0\", \"bbox\": [222, 301, 228, 310]}, {\"cell\": \"1 (ref)\", \"bbox\": [271, 301, 293, 310]}, {\"cell\": \"179\", \"bbox\": [333, 301, 349, 310]}, {\"cell\": \"0\", \"bbox\": [399, 301, 406, 310]}, {\"cell\": \"1 (ref)\", \"bbox\": [448, 301, 471, 310]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 313, 80, 322]}, {\"cell\": \"0.6\", \"bbox\": [165, 313, 178, 322]}, {\"cell\": \"0\", \"bbox\": [222, 313, 228, 322]}, {\"cell\": \"NA\", \"bbox\": [275, 313, 288, 322]}, {\"cell\": \"0.6\", \"bbox\": [342, 313, 355, 322]}, {\"cell\": \"0\", \"bbox\": [399, 313, 406, 322]}, {\"cell\": \"NA\", \"bbox\": [453, 313, 466, 322]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [10, 325, 82, 334]}, {\"cell\": \"9.9\", \"bbox\": [165, 325, 178, 334]}, {\"cell\": \"1\", \"bbox\": [222, 325, 228, 334]}, {\"cell\": \"NA\", \"bbox\": [275, 325, 288, 334]}, {\"cell\": \"9.9\", \"bbox\": [342, 325, 355, 334]}, {\"cell\": \"1\", \"bbox\": [399, 325, 406, 334]}, {\"cell\": \"NA\", \"bbox\": [453, 325, 466, 334]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5081485_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}966{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td><b>Mpex</b></td><td><b>AZ 1</b></td><td><b>AZ 2</b></td></tr><tr><td><b>(N = 235)*</b></td><td><b>(N = 749)<sup>†</sup></b></td><td><b>(N = 597)<sup>‡</sup></b></td></tr></thead><tbody><tr><td>Age, mean (SD)</td><td>63.7 (8.95)</td><td>62.3 (8.25)</td><td>[EMPTY_CELL]</td></tr><tr><td>Gender, n (% Male)</td><td>113 (48.1)</td><td>572 (76.4)</td><td>[EMPTY_CELL]</td></tr><tr><td>Race/Ethnicity, n (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> White</td><td>214 (91.1)</td><td>536 (71.6)</td><td>[EMPTY_CELL]</td></tr><tr><td> Asian</td><td>2 (0.9)</td><td>212 (28.3)</td><td>[EMPTY_CELL]</td></tr><tr><td> Black/African American</td><td>18 (7.7)</td><td>0 (0.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> Hispanic or Latino</td><td>6 (2.6)</td><td>2 (0.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>FEV<sub>1</sub>, mean (SD)<sup>§</sup></td><td>1.2 (0.58)</td><td>1.7 (0.49)</td><td>[EMPTY_CELL]</td></tr><tr><td>FEV<sub>1</sub>% predicted, mean (SD)</td><td>42.2 (18.10)</td><td>58.8 (12.70)</td><td>[EMPTY_CELL]</td></tr><tr><td>GOLD<sup>¶</sup> stage, n (%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 0</td><td>22 (9.4)</td><td>0 (0.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> I</td><td>2 (0.9)</td><td>23 (3.2)</td><td>[EMPTY_CELL]</td></tr><tr><td> II</td><td>55 (23.4)</td><td>503 (69.1)</td><td>[EMPTY_CELL]</td></tr><tr><td> III</td><td>89 (37.9)</td><td>197 (27.1)</td><td>[EMPTY_CELL]</td></tr><tr><td> IV</td><td>66 (28.1)</td><td>5 (0.7)</td><td>[EMPTY_CELL]</td></tr><tr><td>SGRQ total score<sup>∥</sup></td><td>57.4 (16.21)</td><td>52.6 (18.36)</td><td>[EMPTY_CELL]</td></tr><tr><td>Exercise test meters, mean (SD)</td><td>289 (121)**</td><td>392 (122)**</td><td>[EMPTY_CELL]</td></tr><tr><td>RS-Total Score, mean (SD)<sup>‡‡</sup></td><td>15.7 (5.93)</td><td>15.9 (6.0)</td><td>[EMPTY_CELL]</td></tr><tr><td> RS-Breathlessness</td><td>8.2 (5.93)</td><td>7.9 (3.17)</td><td>[EMPTY_CELL]</td></tr><tr><td> RS-Cough and Sputum</td><td>4.1 (2.08)</td><td>4.2 (1.56)</td><td>[EMPTY_CELL]</td></tr><tr><td> RS-Chest Symptoms</td><td>3.3 (2.08)</td><td>3.8 (1.93)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Mpex</b>\", \"bbox\": [109, 4, 131, 13]}, {\"cell\": \"<b>AZ 1</b>\", \"bbox\": [154, 4, 172, 13]}, {\"cell\": \"<b>AZ 2</b>\", \"bbox\": [198, 4, 217, 13]}, {\"cell\": \"<b>(N = 235)*</b>\", \"bbox\": [109, 17, 145, 26]}, {\"cell\": \"<b>(N = 749)<sup>†</sup></b>\", \"bbox\": [154, 16, 190, 26]}, {\"cell\": \"<b>(N = 597)<sup>‡</sup></b>\", \"bbox\": [198, 16, 234, 26]}, {\"cell\": \"Age, mean (SD)\", \"bbox\": [1, 30, 53, 40]}, {\"cell\": \"63.7 (8.95)\", \"bbox\": [109, 30, 144, 40]}, {\"cell\": \"62.3 (8.25)\", \"bbox\": [154, 30, 188, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 30, 233, 40]}, {\"cell\": \"Gender, n (% Male)\", \"bbox\": [1, 44, 64, 54]}, {\"cell\": \"113 (48.1)\", \"bbox\": [109, 44, 142, 54]}, {\"cell\": \"572 (76.4)\", \"bbox\": [154, 44, 187, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 44, 231, 54]}, {\"cell\": \"Race/Ethnicity, n (%)\", \"bbox\": [1, 58, 68, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" White\", \"bbox\": [8, 72, 29, 82]}, {\"cell\": \"214 (91.1)\", \"bbox\": [109, 72, 142, 82]}, {\"cell\": \"536 (71.6)\", \"bbox\": [154, 72, 187, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 72, 231, 82]}, {\"cell\": \" Asian\", \"bbox\": [8, 86, 28, 96]}, {\"cell\": \"2 (0.9)\", \"bbox\": [109, 86, 131, 96]}, {\"cell\": \"212 (28.3)\", \"bbox\": [154, 86, 187, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 86, 220, 96]}, {\"cell\": \" Black/African American\", \"bbox\": [8, 100, 84, 110]}, {\"cell\": \"18 (7.7)\", \"bbox\": [109, 100, 135, 110]}, {\"cell\": \"0 (0.0)\", \"bbox\": [154, 100, 175, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 100, 220, 110]}, {\"cell\": \" Hispanic or Latino\", \"bbox\": [8, 114, 68, 124]}, {\"cell\": \"6 (2.6)\", \"bbox\": [109, 114, 131, 124]}, {\"cell\": \"2 (0.3)\", \"bbox\": [154, 114, 175, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 114, 220, 124]}, {\"cell\": \"FEV<sub>1</sub>, mean (SD)<sup>§</sup>\", \"bbox\": [1, 127, 57, 138]}, {\"cell\": \"1.2 (0.58)\", \"bbox\": [109, 128, 140, 138]}, {\"cell\": \"1.7 (0.49)\", \"bbox\": [154, 128, 184, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 128, 229, 138]}, {\"cell\": \"FEV<sub>1</sub>% predicted, mean (SD)\", \"bbox\": [1, 142, 93, 152]}, {\"cell\": \"42.2 (18.10)\", \"bbox\": [109, 142, 147, 152]}, {\"cell\": \"58.8 (12.70)\", \"bbox\": [154, 142, 192, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 142, 236, 152]}, {\"cell\": \"GOLD<sup>¶</sup> stage, n (%)\", \"bbox\": [0, 155, 64, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0\", \"bbox\": [8, 170, 14, 180]}, {\"cell\": \"22 (9.4)\", \"bbox\": [109, 170, 135, 180]}, {\"cell\": \"0 (0.0)\", \"bbox\": [154, 170, 175, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 170, 220, 180]}, {\"cell\": \" I\", \"bbox\": [8, 184, 12, 194]}, {\"cell\": \"2 (0.9)\", \"bbox\": [109, 184, 131, 194]}, {\"cell\": \"23 (3.2)\", \"bbox\": [154, 184, 179, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 184, 224, 194]}, {\"cell\": \" II\", \"bbox\": [8, 198, 14, 208]}, {\"cell\": \"55 (23.4)\", \"bbox\": [109, 198, 138, 208]}, {\"cell\": \"503 (69.1)\", \"bbox\": [154, 198, 187, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 198, 231, 208]}, {\"cell\": \" III\", \"bbox\": [8, 212, 15, 222]}, {\"cell\": \"89 (37.9)\", \"bbox\": [109, 212, 138, 222]}, {\"cell\": \"197 (27.1)\", \"bbox\": [154, 212, 187, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 212, 231, 222]}, {\"cell\": \" IV\", \"bbox\": [8, 226, 16, 236]}, {\"cell\": \"66 (28.1)\", \"bbox\": [109, 226, 138, 236]}, {\"cell\": \"5 (0.7)\", \"bbox\": [154, 226, 175, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 226, 224, 236]}, {\"cell\": \"SGRQ total score<sup>∥</sup>\", \"bbox\": [1, 239, 60, 250]}, {\"cell\": \"57.4 (16.21)\", \"bbox\": [109, 240, 147, 250]}, {\"cell\": \"52.6 (18.36)\", \"bbox\": [154, 240, 192, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 240, 236, 250]}, {\"cell\": \"Exercise test meters, mean (SD)\", \"bbox\": [1, 254, 103, 264]}, {\"cell\": \"289 (121)**\", \"bbox\": [109, 254, 147, 264]}, {\"cell\": \"392 (122)**\", \"bbox\": [154, 254, 192, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 253, 236, 264]}, {\"cell\": \"RS-Total Score, mean (SD)<sup>‡‡</sup>\", \"bbox\": [1, 267, 91, 278]}, {\"cell\": \"15.7 (5.93)\", \"bbox\": [109, 268, 144, 278]}, {\"cell\": \"15.9 (6.0)\", \"bbox\": [154, 268, 184, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 268, 233, 278]}, {\"cell\": \" RS-Breathlessness\", \"bbox\": [8, 282, 66, 292]}, {\"cell\": \"8.2 (5.93)\", \"bbox\": [109, 282, 140, 292]}, {\"cell\": \"7.9 (3.17)\", \"bbox\": [154, 282, 184, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 282, 229, 292]}, {\"cell\": \" RS-Cough and Sputum\", \"bbox\": [8, 296, 84, 306]}, {\"cell\": \"4.1 (2.08)\", \"bbox\": [109, 296, 140, 306]}, {\"cell\": \"4.2 (1.56)\", \"bbox\": [154, 296, 184, 306]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 296, 229, 306]}, {\"cell\": \" RS-Chest Symptoms\", \"bbox\": [8, 310, 75, 320]}, {\"cell\": \"3.3 (2.08)\", \"bbox\": [109, 310, 140, 320]}, {\"cell\": \"3.8 (1.93)\", \"bbox\": [154, 310, 184, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [198, 310, 229, 320]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4203869_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}967{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variables</b></td><td colspan=\\\"3\\\"><b>All epilepsy cases (years)</b></td><td colspan=\\\"3\\\"><b>IdE (years)</b></td><td colspan=\\\"3\\\"><b>StE (years)</b></td></tr><tr><td><b><i>n</i> (dead)</b></td><td><b>median (95 % CI)</b></td><td><b><i>P</i> value</b></td><td><b><i>n</i> (dead)</b></td><td><b>median (95 % CI)</b></td><td><b><i>P</i> value</b></td><td><b><i>n</i> (dead)</b></td><td><b>median (95 % CI)</b></td><td><b><i>P</i> value</b></td></tr></thead><tbody><tr><td colspan=\\\"10\\\">Gender</td></tr><tr><td> Male</td><td>52 (30)</td><td>8.9 (5.6–11.8)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>37 (18)</td><td>11.3 (7.3–12.6)</td><td rowspan=\\\"2\\\">0.45</td><td>15 (12)</td><td>4.5 (0.4–10.4)</td><td rowspan=\\\"2\\\">0.20</td></tr><tr><td> Female</td><td>42 (13)</td><td>10.1 (9.2–∞)</td><td>[EMPTY_CELL]</td><td>10.1 (9.2–∞)</td><td>15 (6)</td><td>NA (1.9–∞)</td></tr><tr><td colspan=\\\"10\\\">Status of neuter</td></tr><tr><td> Intact</td><td>53 (26)</td><td>10.2 (8.1–11.8)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>35 (15)</td><td>10.4 (8.9–14.5)</td><td rowspan=\\\"2\\\">0.31</td><td>18 (11)</td><td>10.2 (1.3–∞)</td><td rowspan=\\\"2\\\">0.46</td></tr><tr><td> Neuter</td><td>41 (17)</td><td>9.3 (6.3–∞)</td><td>[EMPTY_CELL]</td><td>9.3 (6.3–∞)</td><td>12 (7)</td><td>6.7 (0.4–∞)</td></tr><tr><td colspan=\\\"10\\\">Body weight</td></tr><tr><td> < 6.6 kg</td><td>47 (20)</td><td>10.2 (6.7–14.5)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>31 (11)</td><td>11.9 (7.5–∞)</td><td rowspan=\\\"2\\\">0.28</td><td>16 (9)</td><td>6.7 (3.3–∞)</td><td rowspan=\\\"2\\\">0.27</td></tr><tr><td> ≥ 6.6 kg</td><td>47 (23)</td><td>9.3 (7.1–10.4)</td><td>[EMPTY_CELL]</td><td>10.1 (7.3–∞)</td><td>14 (9)</td><td>4.0 (0.4–∞)</td></tr><tr><td colspan=\\\"10\\\">Seizure frequency at last follow-up</td></tr><tr><td> < 0.3 sz/month</td><td>48 (16)</td><td>11.8 (10.4–14.5)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>37 (11)</td><td>11.9 (11.3–14.5)</td><td rowspan=\\\"2\\\"><0.01</td><td>11 (5)</td><td>10.4 (0.58–∞)</td><td rowspan=\\\"2\\\">0.06</td></tr><tr><td> ≥ 0.3 sz/month</td><td>46 (27)</td><td>7.3 (4.5–9.2)</td><td>[EMPTY_CELL]</td><td>8.9 (5.3–10.1)</td><td>19 (13)</td><td>4.5 (1.2–∞)</td></tr><tr><td colspan=\\\"10\\\">Epileptic seizure type</td></tr><tr><td> FES</td><td>20 (6)</td><td>8.9 (3.3–∞)</td><td rowspan=\\\"3\\\">[EMPTY_CELL]</td><td>15 (4)</td><td>8.9 (2.9–∞)</td><td rowspan=\\\"3\\\">0.20</td><td>5 (2)</td><td>NA (0.2–∞)</td><td rowspan=\\\"3\\\">0.89</td></tr><tr><td> GES</td><td>51 (26)</td><td>10.4 (7.3–11.9)</td><td>[EMPTY_CELL]</td><td>11.3 (10.1–14.5)</td><td>21 (14)</td><td>5.6 (1.2–10.4)</td></tr><tr><td> FEvG</td><td>23 (11)</td><td>8.1 (6.3–∞)</td><td>[EMPTY_CELL]</td><td>9.2 (5.3–∞)</td><td>4 (2)</td><td>6.7 (6.7–∞)</td></tr><tr><td colspan=\\\"10\\\">Development of CS</td></tr><tr><td> Yes</td><td>43 (22)</td><td>9.2 (4.1–11.3)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>26 (11)</td><td>10.4 (4.1–∞)</td><td rowspan=\\\"2\\\">0.21</td><td>17 (11)</td><td>4.5 (1.1–∞)</td><td rowspan=\\\"2\\\">0.18</td></tr><tr><td> No</td><td>51 (21)</td><td>10.1 (8.1–11.9)</td><td>[EMPTY_CELL]</td><td>10.1 (8.1–14.5)</td><td>13 (7)</td><td>6.7 (3.3–∞)</td></tr><tr><td colspan=\\\"10\\\">Development of SE</td></tr><tr><td> Yes</td><td>16 (9)</td><td>10.1 (4.1–11.9)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>13 (7)</td><td>10.1 (4.1–∞)</td><td rowspan=\\\"2\\\">0.42</td><td>3 (2)</td><td>10.4 (3.3–∞)</td><td rowspan=\\\"2\\\">0.54</td></tr><tr><td> No</td><td>78 (34)</td><td>10.2 (7.5–11.8)</td><td>[EMPTY_CELL]</td><td>10.4 (8.9–∞)</td><td>27 (16)</td><td>6.7 (1.3–∞)</td></tr><tr><td colspan=\\\"10\\\">Using AEDs at last follow-up</td></tr><tr><td> None or monotherapy</td><td>58 (26)</td><td>10.4 (7.1–12.6)</td><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td>37 (14)</td><td>11.9 (7.5–14.5)</td><td rowspan=\\\"2\\\">0.29</td><td>22 (12)</td><td>5.6 (1.3–∞)</td><td rowspan=\\\"2\\\">0.50</td></tr><tr><td> Polytherapy</td><td>36 (17)</td><td>9.3 (6.7–10.4)</td><td>[EMPTY_CELL]</td><td>9.3 (7.3–11.3)</td><td>8 (6)</td><td>6.7 (1.1–∞)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>All epilepsy cases (years)</b>\", \"bbox\": [90, 4, 170, 13]}, {\"cell\": \"<b>IdE (years)</b>\", \"bbox\": [224, 4, 259, 13]}, {\"cell\": \"<b>StE (years)</b>\", \"bbox\": [358, 4, 393, 13]}, {\"cell\": \"<b><i>n</i> (dead)</b>\", \"bbox\": [90, 17, 119, 27]}, {\"cell\": \"<b>median (95 % CI)</b>\", \"bbox\": [127, 17, 184, 27]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [192, 17, 217, 27]}, {\"cell\": \"<b><i>n</i> (dead)</b>\", \"bbox\": [224, 17, 253, 27]}, {\"cell\": \"<b>median (95 % CI)</b>\", \"bbox\": [261, 17, 318, 27]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [326, 17, 350, 27]}, {\"cell\": \"<b><i>n</i> (dead)</b>\", \"bbox\": [358, 17, 387, 27]}, {\"cell\": \"<b>median (95 % CI)</b>\", \"bbox\": [395, 17, 452, 27]}, {\"cell\": \"<b><i>P</i> value</b>\", \"bbox\": [459, 17, 484, 27]}, {\"cell\": \"Gender\", \"bbox\": [1, 30, 26, 40]}, {\"cell\": \" Male\", \"bbox\": [8, 44, 26, 54]}, {\"cell\": \"52 (30)\", \"bbox\": [93, 44, 117, 54]}, {\"cell\": \"8.9 (5.6–11.8)\", \"bbox\": [134, 44, 177, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 44, 214, 54]}, {\"cell\": \"37 (18)\", \"bbox\": [227, 44, 251, 54]}, {\"cell\": \"11.3 (7.3–12.6)\", \"bbox\": [264, 44, 311, 54]}, {\"cell\": \"0.45\", \"bbox\": [333, 44, 348, 54]}, {\"cell\": \"15 (12)\", \"bbox\": [361, 44, 384, 54]}, {\"cell\": \"4.5 (0.4–10.4)\", \"bbox\": [403, 44, 447, 54]}, {\"cell\": \"0.20\", \"bbox\": [465, 44, 479, 54]}, {\"cell\": \" Female\", \"bbox\": [8, 58, 34, 68]}, {\"cell\": \"42 (13)\", \"bbox\": [93, 58, 117, 68]}, {\"cell\": \"10.1 (9.2–∞)\", \"bbox\": [130, 58, 170, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 58, 247, 68]}, {\"cell\": \"10.1 (9.2–∞)\", \"bbox\": [264, 58, 304, 68]}, {\"cell\": \"15 (6)\", \"bbox\": [361, 58, 381, 68]}, {\"cell\": \"NA (1.9–∞)\", \"bbox\": [403, 58, 440, 68]}, {\"cell\": \"Status of neuter\", \"bbox\": [1, 72, 54, 82]}, {\"cell\": \" Intact\", \"bbox\": [8, 86, 28, 96]}, {\"cell\": \"53 (26)\", \"bbox\": [93, 86, 117, 96]}, {\"cell\": \"10.2 (8.1–11.8)\", \"bbox\": [130, 86, 177, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 86, 214, 96]}, {\"cell\": \"35 (15)\", \"bbox\": [227, 86, 251, 96]}, {\"cell\": \"10.4 (8.9–14.5)\", \"bbox\": [264, 86, 311, 96]}, {\"cell\": \"0.31\", \"bbox\": [333, 86, 348, 96]}, {\"cell\": \"18 (11)\", \"bbox\": [361, 86, 384, 96]}, {\"cell\": \"10.2 (1.3–∞)\", \"bbox\": [400, 86, 440, 96]}, {\"cell\": \"0.46\", \"bbox\": [465, 86, 479, 96]}, {\"cell\": \" Neuter\", \"bbox\": [8, 100, 32, 110]}, {\"cell\": \"41 (17)\", \"bbox\": [93, 100, 117, 110]}, {\"cell\": \"9.3 (6.3–∞)\", \"bbox\": [134, 100, 170, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 100, 251, 110]}, {\"cell\": \"9.3 (6.3–∞)\", \"bbox\": [268, 100, 304, 110]}, {\"cell\": \"12 (7)\", \"bbox\": [361, 100, 381, 110]}, {\"cell\": \"6.7 (0.4–∞)\", \"bbox\": [403, 100, 440, 110]}, {\"cell\": \"Body weight\", \"bbox\": [1, 114, 43, 124]}, {\"cell\": \" < 6.6 kg\", \"bbox\": [9, 128, 36, 138]}, {\"cell\": \"47 (20)\", \"bbox\": [93, 128, 117, 138]}, {\"cell\": \"10.2 (6.7–14.5)\", \"bbox\": [130, 128, 177, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 128, 214, 138]}, {\"cell\": \"31 (11)\", \"bbox\": [227, 128, 251, 138]}, {\"cell\": \"11.9 (7.5–∞)\", \"bbox\": [264, 128, 304, 138]}, {\"cell\": \"0.28\", \"bbox\": [333, 128, 348, 138]}, {\"cell\": \"16 (9)\", \"bbox\": [361, 128, 381, 138]}, {\"cell\": \"6.7 (3.3–∞)\", \"bbox\": [403, 128, 440, 138]}, {\"cell\": \"0.27\", \"bbox\": [465, 128, 479, 138]}, {\"cell\": \" ≥ 6.6 kg\", \"bbox\": [9, 142, 36, 152]}, {\"cell\": \"47 (23)\", \"bbox\": [93, 142, 117, 152]}, {\"cell\": \"9.3 (7.1–10.4)\", \"bbox\": [134, 142, 177, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 142, 251, 152]}, {\"cell\": \"10.1 (7.3–∞)\", \"bbox\": [264, 142, 304, 152]}, {\"cell\": \"14 (9)\", \"bbox\": [361, 142, 381, 152]}, {\"cell\": \"4.0 (0.4–∞)\", \"bbox\": [403, 142, 440, 152]}, {\"cell\": \"Seizure frequency at last follow-up\", \"bbox\": [1, 156, 113, 166]}, {\"cell\": \" < 0.3 sz/month\", \"bbox\": [9, 170, 59, 180]}, {\"cell\": \"48 (16)\", \"bbox\": [93, 170, 117, 180]}, {\"cell\": \"11.8 (10.4–14.5)\", \"bbox\": [130, 170, 181, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [194, 170, 214, 180]}, {\"cell\": \"37 (11)\", \"bbox\": [227, 170, 251, 180]}, {\"cell\": \"11.9 (11.3–14.5)\", \"bbox\": [264, 170, 315, 180]}, {\"cell\": \"<0.01\", \"bbox\": [328, 170, 348, 180]}, {\"cell\": \"11 (5)\", \"bbox\": [361, 170, 381, 180]}, {\"cell\": \"10.4 (0.58–∞)\", \"bbox\": [400, 170, 443, 180]}, {\"cell\": \"0.06\", \"bbox\": [465, 170, 479, 180]}, {\"cell\": \" ≥ 0.3 sz/month\", \"bbox\": [9, 184, 59, 194]}, {\"cell\": \"46 (27)\", \"bbox\": [93, 184, 117, 194]}, {\"cell\": \"7.3 (4.5–9.2)\", \"bbox\": [134, 184, 173, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 184, 251, 194]}, {\"cell\": \"8.9 (5.3–10.1)\", \"bbox\": [268, 184, 311, 194]}, {\"cell\": \"19 (13)\", \"bbox\": [361, 184, 384, 194]}, {\"cell\": \"4.5 (1.2–∞)\", \"bbox\": [403, 184, 440, 194]}, {\"cell\": \"Epileptic seizure type\", \"bbox\": [1, 198, 70, 208]}, {\"cell\": \" FES\", \"bbox\": [9, 212, 21, 222]}, {\"cell\": \"20 (6)\", \"bbox\": [93, 212, 113, 222]}, {\"cell\": \"8.9 (3.3–∞)\", \"bbox\": [134, 212, 170, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 212, 214, 222]}, {\"cell\": \"15 (4)\", \"bbox\": [227, 212, 247, 222]}, {\"cell\": \"8.9 (2.9–∞)\", \"bbox\": [268, 212, 304, 222]}, {\"cell\": \"0.20\", \"bbox\": [333, 212, 348, 222]}, {\"cell\": \"5 (2)\", \"bbox\": [364, 212, 381, 222]}, {\"cell\": \"NA (0.2–∞)\", \"bbox\": [403, 212, 440, 222]}, {\"cell\": \"0.89\", \"bbox\": [465, 212, 479, 222]}, {\"cell\": \" GES\", \"bbox\": [9, 226, 23, 236]}, {\"cell\": \"51 (26)\", \"bbox\": [93, 226, 117, 236]}, {\"cell\": \"10.4 (7.3–11.9)\", \"bbox\": [130, 226, 177, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 226, 251, 236]}, {\"cell\": \"11.3 (10.1–14.5)\", \"bbox\": [264, 226, 315, 236]}, {\"cell\": \"21 (14)\", \"bbox\": [361, 226, 384, 236]}, {\"cell\": \"5.6 (1.2–10.4)\", \"bbox\": [403, 226, 447, 236]}, {\"cell\": \" FEvG\", \"bbox\": [8, 240, 26, 250]}, {\"cell\": \"23 (11)\", \"bbox\": [93, 240, 117, 250]}, {\"cell\": \"8.1 (6.3–∞)\", \"bbox\": [134, 240, 170, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 240, 247, 250]}, {\"cell\": \"9.2 (5.3–∞)\", \"bbox\": [268, 240, 304, 250]}, {\"cell\": \"4 (2)\", \"bbox\": [364, 240, 381, 250]}, {\"cell\": \"6.7 (6.7–∞)\", \"bbox\": [403, 240, 440, 250]}, {\"cell\": \"Development of CS\", \"bbox\": [1, 254, 65, 264]}, {\"cell\": \" Yes\", \"bbox\": [8, 268, 21, 278]}, {\"cell\": \"43 (22)\", \"bbox\": [93, 268, 117, 278]}, {\"cell\": \"9.2 (4.1–11.3)\", \"bbox\": [134, 268, 177, 278]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 268, 214, 278]}, {\"cell\": \"26 (11)\", \"bbox\": [227, 268, 251, 278]}, {\"cell\": \"10.4 (4.1–∞)\", \"bbox\": [264, 268, 304, 278]}, {\"cell\": \"0.21\", \"bbox\": [333, 268, 348, 278]}, {\"cell\": \"17 (11)\", \"bbox\": [361, 268, 384, 278]}, {\"cell\": \"4.5 (1.1–∞)\", \"bbox\": [403, 268, 440, 278]}, {\"cell\": \"0.18\", \"bbox\": [465, 268, 479, 278]}, {\"cell\": \" No\", \"bbox\": [9, 282, 20, 292]}, {\"cell\": \"51 (21)\", \"bbox\": [93, 282, 117, 292]}, {\"cell\": \"10.1 (8.1–11.9)\", \"bbox\": [130, 282, 177, 292]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 282, 251, 292]}, {\"cell\": \"10.1 (8.1–14.5)\", \"bbox\": [264, 282, 311, 292]}, {\"cell\": \"13 (7)\", \"bbox\": [361, 282, 381, 292]}, {\"cell\": \"6.7 (3.3–∞)\", \"bbox\": [403, 282, 440, 292]}, {\"cell\": \"Development of SE\", \"bbox\": [1, 296, 64, 306]}, {\"cell\": \" Yes\", \"bbox\": [9, 310, 21, 320]}, {\"cell\": \"16 (9)\", \"bbox\": [93, 310, 113, 320]}, {\"cell\": \"10.1 (4.1–11.9)\", \"bbox\": [130, 310, 177, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 310, 214, 320]}, {\"cell\": \"13 (7)\", \"bbox\": [227, 310, 247, 320]}, {\"cell\": \"10.1 (4.1–∞)\", \"bbox\": [264, 310, 304, 320]}, {\"cell\": \"0.42\", \"bbox\": [333, 310, 348, 320]}, {\"cell\": \"3 (2)\", \"bbox\": [364, 310, 381, 320]}, {\"cell\": \"10.4 (3.3–∞)\", \"bbox\": [400, 310, 440, 320]}, {\"cell\": \"0.54\", \"bbox\": [465, 310, 479, 320]}, {\"cell\": \" No\", \"bbox\": [9, 324, 20, 334]}, {\"cell\": \"78 (34)\", \"bbox\": [93, 324, 117, 334]}, {\"cell\": \"10.2 (7.5–11.8)\", \"bbox\": [130, 324, 177, 334]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 324, 251, 334]}, {\"cell\": \"10.4 (8.9–∞)\", \"bbox\": [264, 324, 304, 334]}, {\"cell\": \"27 (16)\", \"bbox\": [361, 324, 384, 334]}, {\"cell\": \"6.7 (1.3–∞)\", \"bbox\": [403, 324, 440, 334]}, {\"cell\": \"Using AEDs at last follow-up\", \"bbox\": [1, 338, 94, 348]}, {\"cell\": \" None or monotherapy\", \"bbox\": [9, 352, 83, 362]}, {\"cell\": \"58 (26)\", \"bbox\": [93, 352, 117, 362]}, {\"cell\": \"10.4 (7.1–12.6)\", \"bbox\": [130, 352, 177, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [199, 352, 214, 362]}, {\"cell\": \"37 (14)\", \"bbox\": [227, 352, 251, 362]}, {\"cell\": \"11.9 (7.5–14.5)\", \"bbox\": [264, 352, 311, 362]}, {\"cell\": \"0.29\", \"bbox\": [333, 352, 348, 362]}, {\"cell\": \"22 (12)\", \"bbox\": [361, 352, 384, 362]}, {\"cell\": \"5.6 (1.3–∞)\", \"bbox\": [403, 352, 440, 362]}, {\"cell\": \"0.50\", \"bbox\": [465, 352, 479, 362]}, {\"cell\": \" Polytherapy\", \"bbox\": [9, 366, 48, 376]}, {\"cell\": \"36 (17)\", \"bbox\": [93, 366, 117, 376]}, {\"cell\": \"9.3 (6.7–10.4)\", \"bbox\": [134, 366, 177, 376]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [227, 366, 251, 376]}, {\"cell\": \"9.3 (7.3–11.3)\", \"bbox\": [268, 366, 311, 376]}, {\"cell\": \"8 (6)\", \"bbox\": [364, 366, 381, 376]}, {\"cell\": \"6.7 (1.1–∞)\", \"bbox\": [403, 366, 440, 376]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5103468_011_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}968{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Region</b></td><td><b>Hemisphere</b></td><td><b>Cluster size</b></td><td><b>Peak voxel (<i>x</i>)</b></td><td><b>Peak voxel (<i>y</i>)</b></td><td><b>Peak voxel (<i>z</i>)</b></td><td><b>Maximum <i>Z</i>-value</b></td></tr></thead><tbody><tr><td colspan=\\\"7\\\"><b>HABITUATION EFFECT OF THE STRESSFUL TASK</b></td></tr><tr><td>Cerebellum crus I</td><td>[EMPTY_CELL]</td><td>13957</td><td>28</td><td>−80</td><td>−22</td><td>4.36</td></tr><tr><td><i>amygdala</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−<i>28</i></td><td>−<i>6</i></td><td>−<i>14</i></td><td><i>3.74</i></td></tr><tr><td><i>hippocampus</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−<i>32</i></td><td>−<i>26</i></td><td>−<i>11</i></td><td><i>3.01</i></td></tr><tr><td><i>temporal pole</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−<i>42</i></td><td>−<i>12</i></td><td>−<i>30</i></td><td><i>4</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>40</i></td><td><i>0</i></td><td>−<i>36</i></td><td><i>3.92</i></td></tr><tr><td><i>cerebellum vermis</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−<i>6</i></td><td>−<i>49</i></td><td>−<i>23</i></td><td><i>3.28</i></td></tr><tr><td><i>fusiform gyrus</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−<i>28</i></td><td>−<i>56</i></td><td>−<i>6</i></td><td><i>3.52</i></td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>36</i></td><td>−<i>36</i></td><td><i>19</i></td><td><i>2.87</i></td></tr><tr><td>Lateral parietal cortex</td><td>[EMPTY_CELL]</td><td>1801</td><td>32</td><td>−70</td><td>54</td><td>3.47</td></tr><tr><td colspan=\\\"7\\\"><b>HABITUATION EFFECT OF THE MINDFUL BREATHING TASK</b></td></tr><tr><td>Midbrain</td><td>[EMPTY_CELL]</td><td>1862</td><td>−6</td><td>−16</td><td>−16</td><td>4.7</td></tr><tr><td><i>midbrain</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>6</i></td><td>−<i>10</i></td><td>−<i>12</i></td><td><i>3.7</i></td></tr><tr><td><i>pons</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>2</i></td><td>−<i>20</i></td><td>−<i>24</i></td><td><i>4.25</i></td></tr><tr><td><i>thalamus</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−<i>20</i></td><td>−<i>20</i></td><td>−<i>10</i></td><td><i>3.71</i></td></tr><tr><td><i>hippocampus</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−<i>40</i></td><td>−<i>20</i></td><td>−<i>16</i></td><td><i>3.73</i></td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Region</b>\", \"bbox\": [0, 6, 27, 16]}, {\"cell\": \"<b>Hemisphere</b>\", \"bbox\": [95, 6, 139, 16]}, {\"cell\": \"<b>Cluster size</b>\", \"bbox\": [160, 6, 203, 16]}, {\"cell\": \"<b>Peak voxel (<i>x</i>)</b>\", \"bbox\": [224, 6, 275, 16]}, {\"cell\": \"<b>Peak voxel (<i>y</i>)</b>\", \"bbox\": [296, 6, 347, 16]}, {\"cell\": \"<b>Peak voxel (<i>z</i>)</b>\", \"bbox\": [368, 6, 419, 16]}, {\"cell\": \"<b>Maximum <i>Z</i>-value</b>\", \"bbox\": [440, 6, 507, 16]}, {\"cell\": \"<b>HABITUATION EFFECT OF THE STRESSFUL TASK</b>\", \"bbox\": [3, 26, 177, 35]}, {\"cell\": \"Cerebellum crus I\", \"bbox\": [0, 38, 61, 47]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 38, 102, 47]}, {\"cell\": \"13957\", \"bbox\": [160, 38, 182, 47]}, {\"cell\": \"28\", \"bbox\": [229, 38, 240, 47]}, {\"cell\": \"−80\", \"bbox\": [296, 38, 312, 47]}, {\"cell\": \"−22\", \"bbox\": [368, 38, 384, 47]}, {\"cell\": \"4.36\", \"bbox\": [446, 38, 462, 47]}, {\"cell\": \"<i>amygdala</i>\", \"bbox\": [8, 49, 41, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 49, 101, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−<i>28</i>\", \"bbox\": [224, 49, 240, 58]}, {\"cell\": \"−<i>6</i>\", \"bbox\": [296, 49, 308, 58]}, {\"cell\": \"−<i>14</i>\", \"bbox\": [368, 49, 384, 58]}, {\"cell\": \"<i>3.74</i>\", \"bbox\": [446, 49, 461, 58]}, {\"cell\": \"<i>hippocampus</i>\", \"bbox\": [8, 61, 54, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 61, 101, 70]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−<i>32</i>\", \"bbox\": [224, 61, 240, 70]}, {\"cell\": \"−<i>26</i>\", \"bbox\": [296, 61, 312, 70]}, {\"cell\": \"−<i>11</i>\", \"bbox\": [368, 61, 383, 70]}, {\"cell\": \"<i>3.01</i>\", \"bbox\": [446, 61, 462, 70]}, {\"cell\": \"<i>temporal pole</i>\", \"bbox\": [8, 72, 56, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 72, 101, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−<i>42</i>\", \"bbox\": [224, 72, 240, 81]}, {\"cell\": \"−<i>12</i>\", \"bbox\": [296, 72, 312, 81]}, {\"cell\": \"−<i>30</i>\", \"bbox\": [368, 72, 384, 81]}, {\"cell\": \"<i>4</i>\", \"bbox\": [446, 72, 452, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 83, 102, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>40</i>\", \"bbox\": [229, 84, 240, 92]}, {\"cell\": \"<i>0</i>\", \"bbox\": [302, 84, 308, 92]}, {\"cell\": \"−<i>36</i>\", \"bbox\": [368, 84, 384, 92]}, {\"cell\": \"<i>3.92</i>\", \"bbox\": [446, 84, 462, 92]}, {\"cell\": \"<i>cerebellum vermis</i>\", \"bbox\": [8, 95, 71, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 95, 101, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−<i>6</i>\", \"bbox\": [224, 95, 236, 104]}, {\"cell\": \"−<i>49</i>\", \"bbox\": [296, 95, 312, 104]}, {\"cell\": \"−<i>23</i>\", \"bbox\": [368, 95, 384, 104]}, {\"cell\": \"<i>3.28</i>\", \"bbox\": [446, 95, 462, 104]}, {\"cell\": \"<i>fusiform gyrus</i>\", \"bbox\": [8, 106, 58, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 106, 101, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−<i>28</i>\", \"bbox\": [224, 106, 240, 115]}, {\"cell\": \"−<i>56</i>\", \"bbox\": [296, 106, 312, 115]}, {\"cell\": \"−<i>6</i>\", \"bbox\": [368, 106, 380, 115]}, {\"cell\": \"<i>3.52</i>\", \"bbox\": [446, 106, 462, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 118, 102, 127]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>36</i>\", \"bbox\": [229, 118, 240, 127]}, {\"cell\": \"−<i>36</i>\", \"bbox\": [296, 118, 312, 127]}, {\"cell\": \"<i>19</i>\", \"bbox\": [374, 118, 384, 127]}, {\"cell\": \"<i>2.87</i>\", \"bbox\": [446, 118, 462, 127]}, {\"cell\": \"Lateral parietal cortex\", \"bbox\": [0, 129, 74, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 129, 102, 138]}, {\"cell\": \"1801\", \"bbox\": [160, 129, 178, 138]}, {\"cell\": \"32\", \"bbox\": [229, 129, 240, 138]}, {\"cell\": \"−70\", \"bbox\": [296, 129, 312, 138]}, {\"cell\": \"54\", \"bbox\": [374, 129, 384, 138]}, {\"cell\": \"3.47\", \"bbox\": [446, 129, 462, 138]}, {\"cell\": \"<b>HABITUATION EFFECT OF THE MINDFUL BREATHING TASK</b>\", \"bbox\": [3, 141, 214, 150]}, {\"cell\": \"Midbrain\", \"bbox\": [0, 152, 32, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 152, 101, 161]}, {\"cell\": \"1862\", \"bbox\": [160, 152, 178, 161]}, {\"cell\": \"−6\", \"bbox\": [224, 152, 236, 161]}, {\"cell\": \"−16\", \"bbox\": [296, 152, 312, 161]}, {\"cell\": \"−16\", \"bbox\": [368, 152, 384, 161]}, {\"cell\": \"4.7\", \"bbox\": [446, 152, 458, 161]}, {\"cell\": \"<i>midbrain</i>\", \"bbox\": [8, 164, 39, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 164, 102, 173]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>6</i>\", \"bbox\": [229, 164, 236, 173]}, {\"cell\": \"−<i>10</i>\", \"bbox\": [296, 164, 311, 173]}, {\"cell\": \"−<i>12</i>\", \"bbox\": [368, 164, 384, 173]}, {\"cell\": \"<i>3.7</i>\", \"bbox\": [446, 164, 458, 173]}, {\"cell\": \"<i>pons</i>\", \"bbox\": [8, 175, 26, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 175, 102, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>2</i>\", \"bbox\": [229, 175, 236, 184]}, {\"cell\": \"−<i>20</i>\", \"bbox\": [296, 175, 312, 184]}, {\"cell\": \"−<i>24</i>\", \"bbox\": [368, 175, 384, 184]}, {\"cell\": \"<i>4.25</i>\", \"bbox\": [446, 175, 462, 184]}, {\"cell\": \"<i>thalamus</i>\", \"bbox\": [8, 187, 40, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 187, 101, 196]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−<i>20</i>\", \"bbox\": [224, 187, 240, 196]}, {\"cell\": \"−<i>20</i>\", \"bbox\": [296, 187, 312, 196]}, {\"cell\": \"−<i>10</i>\", \"bbox\": [368, 187, 384, 196]}, {\"cell\": \"<i>3.71</i>\", \"bbox\": [446, 187, 462, 196]}, {\"cell\": \"<i>hippocampus</i>\", \"bbox\": [8, 198, 54, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [95, 198, 101, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−<i>40</i>\", \"bbox\": [224, 198, 240, 207]}, {\"cell\": \"−<i>20</i>\", \"bbox\": [296, 198, 312, 207]}, {\"cell\": \"−<i>16</i>\", \"bbox\": [368, 198, 384, 207]}, {\"cell\": \"<i>3.73</i>\", \"bbox\": [446, 198, 462, 207]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3671570_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}969{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td colspan=\\\"2\\\"><b>Overall(n = 396)</b></td><td colspan=\\\"2\\\"><b>Urban(n = 192)</b></td><td colspan=\\\"2\\\"><b>Rural(n = 204)</b></td><td><b>Urban vs. Rural</b></td></tr><tr><td>[EMPTY_CELL]</td><td><b>N infected</b></td><td><b>% (95% Cl)</b></td><td><b>N infected</b></td><td><b>% (95% Cl)</b></td><td><b>N infected</b></td><td><b>% (95% Cl)</b></td><td><b><i>p </i>value</b></td></tr></thead><tbody><tr><td colspan=\\\"8\\\"><b>Parasite species</b></td></tr><tr><td><i>Toxocara canis</i></td><td>165</td><td>41.7 (36.8 – 46.7)</td><td>72</td><td>37.5 (30.6 – 44.8)</td><td>93</td><td>45.6 (39.6 – 53.7)</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Ancylostoma </i>sp.</td><td>67</td><td>16.9 (13.4 – 21.0)</td><td>27</td><td>14.1 (9.5 – 19.8)</td><td>40</td><td>19.6 (14.4 – 25.7)</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Trichuris vulpis</i></td><td>57</td><td>14.4 (9.7 – 16.6)</td><td>28</td><td>14.6 (9.9 – 20.4)</td><td>29</td><td>14.2 (9.7 – 19.8)</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Dipylidium caninum</i></td><td>36</td><td>9.1 (6.5 – 12.4)</td><td>11</td><td>5.7 (2.9 – 10.0)</td><td>25</td><td>12.3 (8.1 – 17.6)</td><td>[EMPTY_CELL]</td></tr><tr><td>Taenidae</td><td>33</td><td>8.3 (5.8 – 11.5)</td><td>3</td><td>1.6 (0.3 – 4.5)</td><td>30</td><td>14.7 (10.2 – 20.3)</td><td>[EMPTY_CELL]</td></tr><tr><td><i>Strongyloides </i>sp.</td><td>15</td><td>3.8 (2.1 – 6.2)</td><td>3</td><td>1.6 (0.3 – 4.5)</td><td>12</td><td>5.8 (3.1 – 10.1)</td><td>[EMPTY_CELL]</td></tr><tr><td colspan=\\\"8\\\"><b>Number of intestinal helminth species per host</b></td></tr><tr><td>One helminth species</td><td>196</td><td>49.4 (44.2 – 54.3)</td><td>92</td><td>47.9 (40.7 – 55.2)</td><td>104</td><td>51.0 (43.9 – 58.3)</td><td>[EMPTY_CELL]</td></tr><tr><td>Two helminth species</td><td>52</td><td>13.1 (10.0 – 16.9)</td><td>17</td><td>8.9 (5.2 – 13.8)</td><td>35</td><td>17.5 (12.3 – 23.0)</td><td>[EMPTY_CELL]</td></tr><tr><td>Three helminth species</td><td>18</td><td>4.6 (2.7 – 7.1)</td><td>4</td><td>2.1 (0.6 – 5.2)</td><td>14</td><td>6.9 (3.8 – 11.2)</td><td>[EMPTY_CELL]</td></tr><tr><td>Four or more helminth species</td><td>5</td><td>1.3 (0.0 – 2.9)</td><td>0</td><td>-</td><td>5</td><td>2.5 (0.1 – 5.6)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Overall(n = 396)</b>\", \"bbox\": [149, 4, 182, 23]}, {\"cell\": \"<b>Urban(n = 192)</b>\", \"bbox\": [259, 4, 292, 23]}, {\"cell\": \"<b>Rural(n = 204)</b>\", \"bbox\": [369, 4, 402, 23]}, {\"cell\": \"<b>Urban vs. Rural</b>\", \"bbox\": [444, 4, 497, 14]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>N infected</b>\", \"bbox\": [114, 24, 151, 34]}, {\"cell\": \"<b>% (95% Cl)</b>\", \"bbox\": [168, 24, 207, 34]}, {\"cell\": \"<b>N infected</b>\", \"bbox\": [224, 24, 261, 34]}, {\"cell\": \"<b>% (95% Cl)</b>\", \"bbox\": [278, 24, 317, 34]}, {\"cell\": \"<b>N infected</b>\", \"bbox\": [334, 24, 371, 34]}, {\"cell\": \"<b>% (95% Cl)</b>\", \"bbox\": [388, 24, 427, 34]}, {\"cell\": \"<b><i>p </i>value</b>\", \"bbox\": [444, 24, 469, 34]}, {\"cell\": \"<b>Parasite species</b>\", \"bbox\": [4, 46, 67, 56]}, {\"cell\": \"<i>Toxocara canis</i>\", \"bbox\": [4, 57, 53, 66]}, {\"cell\": \"165\", \"bbox\": [125, 57, 140, 66]}, {\"cell\": \"41.7 (36.8 – 46.7)\", \"bbox\": [157, 57, 218, 66]}, {\"cell\": \"72\", \"bbox\": [237, 57, 247, 66]}, {\"cell\": \"37.5 (30.6 – 44.8)\", \"bbox\": [267, 57, 328, 66]}, {\"cell\": \"93\", \"bbox\": [347, 57, 357, 66]}, {\"cell\": \"45.6 (39.6 – 53.7)\", \"bbox\": [377, 57, 438, 66]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 57, 460, 66]}, {\"cell\": \"<i>Ancylostoma </i>sp.\", \"bbox\": [4, 67, 56, 76]}, {\"cell\": \"67\", \"bbox\": [127, 67, 137, 76]}, {\"cell\": \"16.9 (13.4 – 21.0)\", \"bbox\": [157, 67, 218, 76]}, {\"cell\": \"27\", \"bbox\": [237, 67, 247, 76]}, {\"cell\": \"14.1 (9.5 – 19.8)\", \"bbox\": [269, 67, 326, 76]}, {\"cell\": \"40\", \"bbox\": [347, 67, 357, 76]}, {\"cell\": \"19.6 (14.4 – 25.7)\", \"bbox\": [377, 67, 438, 76]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 67, 460, 76]}, {\"cell\": \"<i>Trichuris vulpis</i>\", \"bbox\": [4, 77, 52, 87]}, {\"cell\": \"57\", \"bbox\": [127, 77, 137, 87]}, {\"cell\": \"14.4 (9.7 – 16.6)\", \"bbox\": [159, 77, 216, 87]}, {\"cell\": \"28\", \"bbox\": [237, 77, 247, 87]}, {\"cell\": \"14.6 (9.9 – 20.4)\", \"bbox\": [269, 77, 326, 87]}, {\"cell\": \"29\", \"bbox\": [347, 77, 357, 87]}, {\"cell\": \"14.2 (9.7 – 19.8)\", \"bbox\": [379, 77, 436, 87]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 77, 456, 87]}, {\"cell\": \"<i>Dipylidium caninum</i>\", \"bbox\": [4, 87, 68, 97]}, {\"cell\": \"36\", \"bbox\": [127, 87, 137, 97]}, {\"cell\": \"9.1 (6.5 – 12.4)\", \"bbox\": [161, 87, 214, 97]}, {\"cell\": \"11\", \"bbox\": [237, 87, 247, 97]}, {\"cell\": \"5.7 (2.9 – 10.0)\", \"bbox\": [271, 87, 324, 97]}, {\"cell\": \"25\", \"bbox\": [347, 87, 357, 97]}, {\"cell\": \"12.3 (8.1 – 17.6)\", \"bbox\": [379, 87, 436, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 87, 464, 97]}, {\"cell\": \"Taenidae\", \"bbox\": [4, 97, 36, 107]}, {\"cell\": \"33\", \"bbox\": [127, 97, 137, 107]}, {\"cell\": \"8.3 (5.8 – 11.5)\", \"bbox\": [161, 97, 214, 107]}, {\"cell\": \"3\", \"bbox\": [239, 97, 245, 107]}, {\"cell\": \"1.6 (0.3 – 4.5)\", \"bbox\": [273, 97, 322, 107]}, {\"cell\": \"30\", \"bbox\": [347, 97, 357, 107]}, {\"cell\": \"14.7 (10.2 – 20.3)\", \"bbox\": [377, 97, 438, 107]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 97, 475, 107]}, {\"cell\": \"<i>Strongyloides </i>sp.\", \"bbox\": [4, 108, 58, 117]}, {\"cell\": \"15\", \"bbox\": [127, 108, 137, 117]}, {\"cell\": \"3.8 (2.1 – 6.2)\", \"bbox\": [163, 108, 212, 117]}, {\"cell\": \"3\", \"bbox\": [239, 108, 245, 117]}, {\"cell\": \"1.6 (0.3 – 4.5)\", \"bbox\": [273, 108, 322, 117]}, {\"cell\": \"12\", \"bbox\": [347, 108, 357, 117]}, {\"cell\": \"5.8 (3.1 – 10.1)\", \"bbox\": [381, 108, 434, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 108, 464, 117]}, {\"cell\": \"<b>Number of intestinal helminth species per host</b>\", \"bbox\": [4, 118, 187, 128]}, {\"cell\": \"One helminth species\", \"bbox\": [4, 128, 79, 138]}, {\"cell\": \"196\", \"bbox\": [125, 128, 140, 138]}, {\"cell\": \"49.4 (44.2 – 54.3)\", \"bbox\": [157, 128, 218, 138]}, {\"cell\": \"92\", \"bbox\": [237, 128, 247, 138]}, {\"cell\": \"47.9 (40.7 – 55.2)\", \"bbox\": [267, 128, 328, 138]}, {\"cell\": \"104\", \"bbox\": [345, 128, 360, 138]}, {\"cell\": \"51.0 (43.9 – 58.3)\", \"bbox\": [377, 128, 438, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 128, 456, 138]}, {\"cell\": \"Two helminth species\", \"bbox\": [4, 138, 79, 148]}, {\"cell\": \"52\", \"bbox\": [127, 138, 137, 148]}, {\"cell\": \"13.1 (10.0 – 16.9)\", \"bbox\": [157, 138, 218, 148]}, {\"cell\": \"17\", \"bbox\": [237, 138, 247, 148]}, {\"cell\": \"8.9 (5.2 – 13.8)\", \"bbox\": [271, 138, 324, 148]}, {\"cell\": \"35\", \"bbox\": [347, 138, 357, 148]}, {\"cell\": \"17.5 (12.3 – 23.0)\", \"bbox\": [377, 138, 438, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 138, 464, 148]}, {\"cell\": \"Three helminth species\", \"bbox\": [4, 149, 84, 158]}, {\"cell\": \"18\", \"bbox\": [127, 149, 137, 158]}, {\"cell\": \"4.6 (2.7 – 7.1)\", \"bbox\": [163, 149, 212, 158]}, {\"cell\": \"4\", \"bbox\": [239, 149, 245, 158]}, {\"cell\": \"2.1 (0.6 – 5.2)\", \"bbox\": [273, 149, 322, 158]}, {\"cell\": \"14\", \"bbox\": [347, 149, 357, 158]}, {\"cell\": \"6.9 (3.8 – 11.2)\", \"bbox\": [381, 149, 434, 158]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 149, 464, 158]}, {\"cell\": \"Four or more helminth species\", \"bbox\": [4, 159, 84, 178]}, {\"cell\": \"5\", \"bbox\": [129, 159, 135, 169]}, {\"cell\": \"1.3 (0.0 – 2.9)\", \"bbox\": [163, 159, 212, 169]}, {\"cell\": \"0\", \"bbox\": [239, 159, 245, 169]}, {\"cell\": \"-\", \"bbox\": [295, 159, 300, 169]}, {\"cell\": \"5\", \"bbox\": [349, 159, 355, 169]}, {\"cell\": \"2.5 (0.1 – 5.6)\", \"bbox\": [383, 159, 432, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [444, 159, 464, 169]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2615757_004_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}970{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\">[EMPTY_CELL]</td><td colspan=\\\"4\\\"><b>No of bacteria</b></td><td rowspan=\\\"2\\\" colspan=\\\"2\\\"><b>Total</b></td><td rowspan=\\\"2\\\"><b><i>p</i>-value</b></td></tr><tr><td colspan=\\\"2\\\"><b>0–2</b></td><td colspan=\\\"2\\\"><b>3–9</b></td></tr></thead><tbody><tr><td colspan=\\\"8\\\">Gender (n/%)</td></tr><tr><td> Male</td><td>14</td><td>[EMPTY_CELL]</td><td>15</td><td>55.6</td><td>29</td><td>51.8</td><td rowspan=\\\"2\\\">0.391</td></tr><tr><td> Female</td><td>15</td><td>[EMPTY_CELL]</td><td>12</td><td>44.4</td><td>27</td><td>48.2</td></tr><tr><td colspan=\\\"8\\\">Age (years)</td></tr><tr><td> Age (Me/SD)</td><td>9</td><td>[EMPTY_CELL]</td><td>8.7</td><td>2.0</td><td>8.9</td><td>2.2</td><td>0.667</td></tr><tr><td colspan=\\\"8\\\">Hand washing before eating (n/%)</td></tr><tr><td> Sometimes</td><td>5</td><td>[EMPTY_CELL]</td><td>13</td><td>48.1</td><td>18</td><td>32.1</td><td rowspan=\\\"2\\\">0.014</td></tr><tr><td> Always</td><td>24</td><td>[EMPTY_CELL]</td><td>14</td><td>51.9</td><td>38</td><td>67.9</td></tr><tr><td colspan=\\\"8\\\">Hand washing after toilet use (n/%)</td></tr><tr><td> Never</td><td>1</td><td>[EMPTY_CELL]</td><td>0</td><td>0.0</td><td>1</td><td>1.8</td><td rowspan=\\\"3\\\">0.018</td></tr><tr><td> Sometimes</td><td>2</td><td>[EMPTY_CELL]</td><td>9</td><td>33.3</td><td>11</td><td>19.6</td></tr><tr><td> Always</td><td>26</td><td>[EMPTY_CELL]</td><td>18</td><td>66.7</td><td>44</td><td>78.6</td></tr><tr><td colspan=\\\"8\\\">Livestock (n/%)</td></tr><tr><td> Yes</td><td>25</td><td>[EMPTY_CELL]</td><td>23</td><td>85.2</td><td>48</td><td>85.7</td><td rowspan=\\\"2\\\">0.563</td></tr><tr><td> No</td><td>4</td><td>[EMPTY_CELL]</td><td>3</td><td>11.1</td><td>7</td><td>12.5</td></tr><tr><td>Access to boiled water (n/%)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.0</td><td>[EMPTY_CELL]</td></tr><tr><td> Never</td><td>4</td><td>[EMPTY_CELL]</td><td>5</td><td>18.5</td><td>9</td><td>16.1</td><td rowspan=\\\"3\\\">0.337</td></tr><tr><td> Sometimes</td><td>13</td><td>[EMPTY_CELL]</td><td>16</td><td>59.3</td><td>29</td><td>51.8</td></tr><tr><td> Always</td><td>12</td><td>[EMPTY_CELL]</td><td>6</td><td>22.2</td><td>18</td><td>32.1</td></tr><tr><td colspan=\\\"8\\\">Ditch water ingestion (n/%)</td></tr><tr><td> Never</td><td>24</td><td>[EMPTY_CELL]</td><td>25</td><td>92.6</td><td>49</td><td>87.5</td><td rowspan=\\\"2\\\">0.242</td></tr><tr><td> Sometimes</td><td>5</td><td>[EMPTY_CELL]</td><td>2</td><td>7.4</td><td>7</td><td>12.5</td></tr><tr><td colspan=\\\"8\\\">Diarrhea within past 3 months (n/%)</td></tr><tr><td> Yes</td><td>23</td><td>[EMPTY_CELL]</td><td>18</td><td>66.7</td><td>41</td><td>73.2</td><td rowspan=\\\"2\\\">0.222</td></tr><tr><td> No</td><td>6</td><td>[EMPTY_CELL]</td><td>9</td><td>33.3</td><td>15</td><td>26.8</td></tr><tr><td colspan=\\\"8\\\">Fruit and vegetable consumption (n/%)</td></tr><tr><td> Always</td><td>8</td><td>[EMPTY_CELL]</td><td>0</td><td>0.0</td><td>7</td><td>12.5</td><td rowspan=\\\"3\\\">0.010</td></tr><tr><td> Sometimes</td><td>11</td><td>[EMPTY_CELL]</td><td>14</td><td>51.9</td><td>23</td><td>41.1</td></tr><tr><td> Never</td><td>10</td><td>[EMPTY_CELL]</td><td>13</td><td>48.1</td><td>26</td><td>46.4</td></tr><tr><td colspan=\\\"8\\\">Hay chewing (n/%)</td></tr><tr><td> Yes</td><td>2</td><td>[EMPTY_CELL]</td><td>6</td><td>22.2</td><td>8</td><td>14.3</td><td rowspan=\\\"2\\\">0.104</td></tr><tr><td> No</td><td>27</td><td>[EMPTY_CELL]</td><td>21</td><td>77.8</td><td>48</td><td>85.7</td></tr><tr><td colspan=\\\"8\\\">Caregiver occupation (n/%)</td></tr><tr><td> Agricultural</td><td>25</td><td>[EMPTY_CELL]</td><td>17</td><td>63.0</td><td>42</td><td>75.0</td><td rowspan=\\\"2\\\">0.067</td></tr><tr><td> Other</td><td>4</td><td>[EMPTY_CELL]</td><td>9</td><td>33.3</td><td>13</td><td>23.2</td></tr><tr><td colspan=\\\"8\\\">Presence of parasites (n/%)</td></tr><tr><td> Yes</td><td>4</td><td>[EMPTY_CELL]</td><td>1</td><td>3.7</td><td>5</td><td>8.9</td><td rowspan=\\\"2\\\">0.147</td></tr><tr><td> No</td><td>18</td><td>[EMPTY_CELL]</td><td>23</td><td>85.2</td><td>41</td><td>73.2</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>No of bacteria</b>\", \"bbox\": [93, 4, 144, 12]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [333, 4, 352, 12]}, {\"cell\": \"<b><i>p</i>-value</b>\", \"bbox\": [452, 4, 480, 14]}, {\"cell\": \"<b>0–2</b>\", \"bbox\": [93, 20, 108, 28]}, {\"cell\": \"<b>3–9</b>\", \"bbox\": [213, 20, 228, 28]}, {\"cell\": \"Gender (n/%)\", \"bbox\": [0, 38, 45, 48]}, {\"cell\": \" Male\", \"bbox\": [5, 50, 23, 60]}, {\"cell\": \"14\", \"bbox\": [93, 50, 103, 60]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 50, 168, 60]}, {\"cell\": \"15\", \"bbox\": [213, 50, 223, 60]}, {\"cell\": \"55.6\", \"bbox\": [272, 50, 287, 60]}, {\"cell\": \"29\", \"bbox\": [333, 50, 343, 60]}, {\"cell\": \"51.8\", \"bbox\": [392, 50, 407, 60]}, {\"cell\": \"0.391\", \"bbox\": [452, 50, 471, 60]}, {\"cell\": \" Female\", \"bbox\": [5, 62, 30, 72]}, {\"cell\": \"15\", \"bbox\": [93, 62, 103, 72]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 62, 168, 72]}, {\"cell\": \"12\", \"bbox\": [213, 62, 223, 72]}, {\"cell\": \"44.4\", \"bbox\": [272, 62, 287, 72]}, {\"cell\": \"27\", \"bbox\": [333, 62, 343, 72]}, {\"cell\": \"48.2\", \"bbox\": [392, 62, 407, 72]}, {\"cell\": \"Age (years)\", \"bbox\": [1, 74, 38, 84]}, {\"cell\": \" Age (Me/SD)\", \"bbox\": [5, 86, 48, 96]}, {\"cell\": \"9\", \"bbox\": [97, 86, 103, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [156, 86, 168, 96]}, {\"cell\": \"8.7\", \"bbox\": [213, 86, 224, 96]}, {\"cell\": \"2.0\", \"bbox\": [276, 86, 287, 96]}, {\"cell\": \"8.9\", \"bbox\": [333, 86, 344, 96]}, {\"cell\": \"2.2\", \"bbox\": [396, 86, 407, 96]}, {\"cell\": \"0.667\", \"bbox\": [453, 86, 472, 96]}, {\"cell\": \"Hand washing before eating (n/%)\", \"bbox\": [1, 99, 112, 108]}, {\"cell\": \" Sometimes\", \"bbox\": [5, 111, 43, 120]}, {\"cell\": \"5\", \"bbox\": [97, 111, 103, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 111, 168, 120]}, {\"cell\": \"13\", \"bbox\": [213, 111, 223, 120]}, {\"cell\": \"48.1\", \"bbox\": [272, 111, 287, 120]}, {\"cell\": \"18\", \"bbox\": [333, 111, 343, 120]}, {\"cell\": \"32.1\", \"bbox\": [392, 111, 407, 120]}, {\"cell\": \"0.014\", \"bbox\": [453, 111, 472, 120]}, {\"cell\": \" Always\", \"bbox\": [5, 123, 30, 132]}, {\"cell\": \"24\", \"bbox\": [93, 123, 103, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 123, 168, 132]}, {\"cell\": \"14\", \"bbox\": [213, 123, 223, 132]}, {\"cell\": \"51.9\", \"bbox\": [272, 123, 287, 132]}, {\"cell\": \"38\", \"bbox\": [333, 123, 343, 132]}, {\"cell\": \"67.9\", \"bbox\": [392, 123, 407, 132]}, {\"cell\": \"Hand washing after toilet use (n/%)\", \"bbox\": [1, 135, 115, 144]}, {\"cell\": \" Never\", \"bbox\": [5, 147, 26, 156]}, {\"cell\": \"1\", \"bbox\": [97, 147, 103, 156]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 147, 168, 156]}, {\"cell\": \"0\", \"bbox\": [213, 147, 219, 156]}, {\"cell\": \"0.0\", \"bbox\": [276, 147, 287, 156]}, {\"cell\": \"1\", \"bbox\": [333, 147, 339, 156]}, {\"cell\": \"1.8\", \"bbox\": [396, 147, 407, 156]}, {\"cell\": \"0.018\", \"bbox\": [453, 147, 472, 156]}, {\"cell\": \" Sometimes\", \"bbox\": [5, 159, 43, 169]}, {\"cell\": \"2\", \"bbox\": [97, 159, 103, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 159, 168, 169]}, {\"cell\": \"9\", \"bbox\": [213, 159, 219, 169]}, {\"cell\": \"33.3\", \"bbox\": [272, 159, 288, 169]}, {\"cell\": \"11\", \"bbox\": [333, 159, 343, 169]}, {\"cell\": \"19.6\", \"bbox\": [392, 159, 407, 169]}, {\"cell\": \" Always\", \"bbox\": [5, 171, 30, 181]}, {\"cell\": \"26\", \"bbox\": [93, 171, 103, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 171, 168, 181]}, {\"cell\": \"18\", \"bbox\": [213, 171, 223, 181]}, {\"cell\": \"66.7\", \"bbox\": [272, 171, 288, 181]}, {\"cell\": \"44\", \"bbox\": [333, 171, 343, 181]}, {\"cell\": \"78.6\", \"bbox\": [392, 171, 407, 181]}, {\"cell\": \"Livestock (n/%)\", \"bbox\": [1, 183, 51, 193]}, {\"cell\": \" Yes\", \"bbox\": [5, 195, 17, 205]}, {\"cell\": \"25\", \"bbox\": [93, 195, 103, 205]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 195, 168, 205]}, {\"cell\": \"23\", \"bbox\": [213, 195, 223, 205]}, {\"cell\": \"85.2\", \"bbox\": [272, 195, 288, 205]}, {\"cell\": \"48\", \"bbox\": [333, 195, 343, 205]}, {\"cell\": \"85.7\", \"bbox\": [392, 195, 407, 205]}, {\"cell\": \"0.563\", \"bbox\": [453, 195, 472, 205]}, {\"cell\": \" No\", \"bbox\": [5, 207, 17, 217]}, {\"cell\": \"4\", \"bbox\": [97, 207, 103, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 207, 168, 217]}, {\"cell\": \"3\", \"bbox\": [213, 207, 219, 217]}, {\"cell\": \"11.1\", \"bbox\": [272, 207, 288, 217]}, {\"cell\": \"7\", \"bbox\": [333, 207, 339, 217]}, {\"cell\": \"12.5\", \"bbox\": [392, 207, 407, 217]}, {\"cell\": \"Access to boiled water (n/%)\", \"bbox\": [1, 220, 75, 238]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.0\", \"bbox\": [396, 220, 407, 229]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Never\", \"bbox\": [5, 241, 26, 250]}, {\"cell\": \"4\", \"bbox\": [97, 241, 103, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 241, 168, 250]}, {\"cell\": \"5\", \"bbox\": [213, 241, 219, 250]}, {\"cell\": \"18.5\", \"bbox\": [272, 241, 288, 250]}, {\"cell\": \"9\", \"bbox\": [333, 241, 339, 250]}, {\"cell\": \"16.1\", \"bbox\": [392, 241, 407, 250]}, {\"cell\": \"0.337\", \"bbox\": [453, 241, 472, 250]}, {\"cell\": \" Sometimes\", \"bbox\": [5, 253, 43, 262]}, {\"cell\": \"13\", \"bbox\": [93, 253, 103, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 253, 168, 262]}, {\"cell\": \"16\", \"bbox\": [213, 253, 223, 262]}, {\"cell\": \"59.3\", \"bbox\": [272, 253, 288, 262]}, {\"cell\": \"29\", \"bbox\": [333, 253, 343, 262]}, {\"cell\": \"51.8\", \"bbox\": [392, 253, 407, 262]}, {\"cell\": \" Always\", \"bbox\": [5, 265, 30, 274]}, {\"cell\": \"12\", \"bbox\": [93, 265, 103, 274]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 265, 168, 274]}, {\"cell\": \"6\", \"bbox\": [213, 265, 219, 274]}, {\"cell\": \"22.2\", \"bbox\": [273, 265, 288, 274]}, {\"cell\": \"18\", \"bbox\": [333, 265, 343, 274]}, {\"cell\": \"32.1\", \"bbox\": [392, 265, 407, 274]}, {\"cell\": \"Ditch water ingestion (n/%)\", \"bbox\": [1, 277, 90, 286]}, {\"cell\": \" Never\", \"bbox\": [5, 289, 26, 299]}, {\"cell\": \"24\", \"bbox\": [93, 289, 103, 299]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 289, 168, 299]}, {\"cell\": \"25\", \"bbox\": [213, 289, 223, 299]}, {\"cell\": \"92.6\", \"bbox\": [273, 289, 288, 299]}, {\"cell\": \"49\", \"bbox\": [333, 289, 343, 299]}, {\"cell\": \"87.5\", \"bbox\": [392, 289, 407, 299]}, {\"cell\": \"0.242\", \"bbox\": [453, 289, 472, 299]}, {\"cell\": \" Sometimes\", \"bbox\": [5, 301, 43, 311]}, {\"cell\": \"5\", \"bbox\": [97, 301, 103, 311]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 301, 168, 311]}, {\"cell\": \"2\", \"bbox\": [213, 301, 219, 311]}, {\"cell\": \"7.4\", \"bbox\": [276, 301, 288, 311]}, {\"cell\": \"7\", \"bbox\": [333, 301, 339, 311]}, {\"cell\": \"12.5\", \"bbox\": [392, 301, 407, 311]}, {\"cell\": \"Diarrhea within past 3 months (n/%)\", \"bbox\": [1, 313, 118, 323]}, {\"cell\": \" Yes\", \"bbox\": [5, 325, 18, 335]}, {\"cell\": \"23\", \"bbox\": [93, 325, 103, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 325, 168, 335]}, {\"cell\": \"18\", \"bbox\": [213, 325, 223, 335]}, {\"cell\": \"66.7\", \"bbox\": [273, 325, 288, 335]}, {\"cell\": \"41\", \"bbox\": [333, 325, 343, 335]}, {\"cell\": \"73.2\", \"bbox\": [392, 325, 407, 335]}, {\"cell\": \"0.222\", \"bbox\": [453, 325, 472, 335]}, {\"cell\": \" No\", \"bbox\": [6, 337, 17, 347]}, {\"cell\": \"6\", \"bbox\": [97, 337, 103, 347]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 337, 168, 347]}, {\"cell\": \"9\", \"bbox\": [213, 337, 219, 347]}, {\"cell\": \"33.3\", \"bbox\": [273, 337, 288, 347]}, {\"cell\": \"15\", \"bbox\": [333, 337, 343, 347]}, {\"cell\": \"26.8\", \"bbox\": [392, 337, 407, 347]}, {\"cell\": \"Fruit and vegetable consumption (n/%)\", \"bbox\": [1, 349, 128, 359]}, {\"cell\": \" Always\", \"bbox\": [6, 362, 30, 371]}, {\"cell\": \"8\", \"bbox\": [97, 362, 103, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 362, 168, 371]}, {\"cell\": \"0\", \"bbox\": [213, 362, 219, 371]}, {\"cell\": \"0.0\", \"bbox\": [276, 362, 288, 371]}, {\"cell\": \"7\", \"bbox\": [333, 362, 339, 371]}, {\"cell\": \"12.5\", \"bbox\": [392, 362, 407, 371]}, {\"cell\": \"0.010\", \"bbox\": [453, 362, 472, 371]}, {\"cell\": \" Sometimes\", \"bbox\": [6, 374, 44, 383]}, {\"cell\": \"11\", \"bbox\": [94, 374, 103, 383]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 374, 168, 383]}, {\"cell\": \"14\", \"bbox\": [213, 374, 223, 383]}, {\"cell\": \"51.9\", \"bbox\": [273, 374, 288, 383]}, {\"cell\": \"23\", \"bbox\": [333, 374, 343, 383]}, {\"cell\": \"41.1\", \"bbox\": [392, 374, 407, 383]}, {\"cell\": \" Never\", \"bbox\": [6, 386, 26, 395]}, {\"cell\": \"10\", \"bbox\": [94, 386, 103, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 386, 168, 395]}, {\"cell\": \"13\", \"bbox\": [213, 386, 223, 395]}, {\"cell\": \"48.1\", \"bbox\": [273, 386, 288, 395]}, {\"cell\": \"26\", \"bbox\": [333, 386, 343, 395]}, {\"cell\": \"46.4\", \"bbox\": [392, 386, 407, 395]}, {\"cell\": \"Hay chewing (n/%)\", \"bbox\": [1, 398, 64, 407]}, {\"cell\": \" Yes\", \"bbox\": [5, 410, 18, 420]}, {\"cell\": \"2\", \"bbox\": [97, 410, 103, 420]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [157, 410, 168, 420]}, {\"cell\": \"6\", \"bbox\": [213, 410, 219, 420]}, {\"cell\": \"22.2\", \"bbox\": [273, 410, 288, 420]}, {\"cell\": \"8\", \"bbox\": [333, 410, 339, 420]}, {\"cell\": \"14.3\", \"bbox\": [392, 410, 407, 420]}, {\"cell\": \"0.104\", \"bbox\": [453, 410, 472, 420]}, {\"cell\": \" No\", \"bbox\": [6, 422, 17, 432]}, {\"cell\": \"27\", \"bbox\": [94, 422, 103, 432]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 422, 168, 432]}, {\"cell\": \"21\", \"bbox\": [213, 422, 223, 432]}, {\"cell\": \"77.8\", \"bbox\": [273, 422, 288, 432]}, {\"cell\": \"48\", \"bbox\": [333, 422, 343, 432]}, {\"cell\": \"85.7\", \"bbox\": [392, 422, 408, 432]}, {\"cell\": \"Caregiver occupation (n/%)\", \"bbox\": [1, 434, 90, 444]}, {\"cell\": \" Agricultural\", \"bbox\": [6, 446, 44, 456]}, {\"cell\": \"25\", \"bbox\": [94, 446, 103, 456]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 446, 168, 456]}, {\"cell\": \"17\", \"bbox\": [213, 446, 223, 456]}, {\"cell\": \"63.0\", \"bbox\": [273, 446, 288, 456]}, {\"cell\": \"42\", \"bbox\": [333, 446, 343, 456]}, {\"cell\": \"75.0\", \"bbox\": [392, 446, 408, 456]}, {\"cell\": \"0.067\", \"bbox\": [453, 446, 472, 456]}, {\"cell\": \" Other\", \"bbox\": [6, 458, 26, 468]}, {\"cell\": \"4\", \"bbox\": [98, 458, 103, 468]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 458, 168, 468]}, {\"cell\": \"9\", \"bbox\": [213, 458, 219, 468]}, {\"cell\": \"33.3\", \"bbox\": [273, 458, 288, 468]}, {\"cell\": \"13\", \"bbox\": [333, 458, 343, 468]}, {\"cell\": \"23.2\", \"bbox\": [392, 458, 408, 468]}, {\"cell\": \"Presence of parasites (n/%)\", \"bbox\": [1, 470, 88, 480]}, {\"cell\": \" Yes\", \"bbox\": [5, 483, 18, 492]}, {\"cell\": \"4\", \"bbox\": [98, 483, 103, 492]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 483, 168, 492]}, {\"cell\": \"1\", \"bbox\": [213, 483, 219, 492]}, {\"cell\": \"3.7\", \"bbox\": [277, 483, 288, 492]}, {\"cell\": \"5\", \"bbox\": [333, 483, 339, 492]}, {\"cell\": \"8.9\", \"bbox\": [396, 483, 408, 492]}, {\"cell\": \"0.147\", \"bbox\": [453, 483, 472, 492]}, {\"cell\": \" No\", \"bbox\": [6, 495, 17, 504]}, {\"cell\": \"18\", \"bbox\": [94, 495, 103, 504]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [153, 495, 168, 504]}, {\"cell\": \"23\", \"bbox\": [213, 495, 223, 504]}, {\"cell\": \"85.2\", \"bbox\": [273, 495, 288, 504]}, {\"cell\": \"41\", \"bbox\": [333, 495, 343, 504]}, {\"cell\": \"73.2\", \"bbox\": [392, 495, 408, 504]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6043948_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}971{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Pt#</b></td><td><b>Sex</b></td><td><b>Age (Yrs)</b></td><td><b>WHO Stage</b></td><td><b>WAZ</b></td><td><b>CD4%</b></td><td><b>ARV Regimen</b></td><td><b>ARV time to death (weeks)</b></td><td><b>ALB(g/L)</b></td><td><b>ALT(IU/L)</b></td><td><b>HGB(g/dl)</b></td><td><b>Suspected cause of death</b></td></tr></thead><tbody><tr><td>1</td><td>M</td><td>[EMPTY_CELL]</td><td>4</td><td>-</td><td>37.6%</td><td>d4T/3TC/Kal</td><td>09</td><td>25.0</td><td>14.0</td><td>9.9</td><td>Chronic gastroenteritis</td></tr><tr><td>2</td><td>F</td><td>[EMPTY_CELL]</td><td>4</td><td>-9.52</td><td>7.9%</td><td>AZT/3TC/EFV</td><td>20</td><td>18.0</td><td>33.0</td><td>10.7</td><td>TB Miliary</td></tr><tr><td>3</td><td>F</td><td>[EMPTY_CELL]</td><td>4</td><td>-4.34</td><td>0.8%</td><td>d4T/3TC/EFV</td><td>14</td><td>30.0</td><td>12.0</td><td>7.9</td><td>TB Adenopathy</td></tr><tr><td>4</td><td>M</td><td>[EMPTY_CELL]</td><td>4</td><td>-4.81</td><td>-</td><td>AZT/3TC/Kal</td><td>10</td><td>-</td><td>-</td><td>9.1</td><td>TB Lymph</td></tr><tr><td>5</td><td>F</td><td>[EMPTY_CELL]</td><td>3</td><td>-5.94</td><td>8.0%</td><td>d4T/3TC/EFV</td><td>06</td><td>32.0</td><td>24.0</td><td>11.7</td><td>Chronic gastroenteritis</td></tr><tr><td>6</td><td>F</td><td>[EMPTY_CELL]</td><td>3</td><td>-7.50</td><td>6.0%</td><td>d4T/3TC/Kal</td><td>01</td><td>26.0</td><td>116.0</td><td>7.0</td><td>Chronic gastroenteritis</td></tr><tr><td>7</td><td>F</td><td>[EMPTY_CELL]</td><td>4</td><td>-5.42</td><td>27.0%</td><td>d4T/3TC/RTV</td><td>05</td><td>28.0</td><td>53.0</td><td>10.2</td><td>TB Abdomen</td></tr><tr><td>8</td><td>F</td><td>[EMPTY_CELL]</td><td>3</td><td>-9.51</td><td>2.1%</td><td>d4T/3TC/EFV</td><td>02</td><td>-</td><td>-</td><td>10.1</td><td>Chronic gastroenteritis</td></tr><tr><td>9</td><td>M</td><td>[EMPTY_CELL]</td><td>4</td><td>-5.24</td><td>4.0%</td><td>d4T/3TC/Kal</td><td>05</td><td>25.0</td><td>45.0</td><td>11.7</td><td>Chronic gastroenteritis</td></tr><tr><td>10</td><td>M</td><td>[EMPTY_CELL]</td><td>3</td><td>-</td><td>1.1%</td><td>AZT/3TC/EFV</td><td>05</td><td>39.0</td><td>16.0</td><td>9.3</td><td>Chronic gastroenteritis</td></tr><tr><td>11</td><td>M</td><td>[EMPTY_CELL]</td><td>3</td><td>-6.95</td><td>1.0%</td><td>d4T/3TC/EFV</td><td>06</td><td>-</td><td>-</td><td>5.6</td><td>Suspected PCP</td></tr><tr><td>12</td><td>F</td><td>[EMPTY_CELL]</td><td>3</td><td>-0.87</td><td>1.0%</td><td>d4T/3TC/Kal</td><td>01</td><td>19.0</td><td>8.0</td><td>4.1</td><td>Sepsis syndrome</td></tr><tr><td>13</td><td>M</td><td>[EMPTY_CELL]</td><td>3</td><td>-6.71</td><td>0.5%</td><td>d4T/3TC/EFV</td><td>08</td><td>28.0</td><td>8.3</td><td>7.0</td><td>Respiratory tract infection</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Pt#</b>\", \"bbox\": [5, 5, 18, 13]}, {\"cell\": \"<b>Sex</b>\", \"bbox\": [24, 5, 38, 13]}, {\"cell\": \"<b>Age (Yrs)</b>\", \"bbox\": [47, 5, 65, 20]}, {\"cell\": \"<b>WHO Stage</b>\", \"bbox\": [76, 5, 98, 20]}, {\"cell\": \"<b>WAZ</b>\", \"bbox\": [107, 5, 127, 13]}, {\"cell\": \"<b>CD4%</b>\", \"bbox\": [134, 5, 155, 13]}, {\"cell\": \"<b>ARV Regimen</b>\", \"bbox\": [162, 5, 210, 13]}, {\"cell\": \"<b>ARV time to death (weeks)</b>\", \"bbox\": [218, 5, 281, 20]}, {\"cell\": \"<b>ALB(g/L)</b>\", \"bbox\": [290, 5, 322, 13]}, {\"cell\": \"<b>ALT(IU/L)</b>\", \"bbox\": [328, 5, 365, 13]}, {\"cell\": \"<b>HGB(g/dl)</b>\", \"bbox\": [371, 5, 407, 13]}, {\"cell\": \"<b>Suspected cause of death</b>\", \"bbox\": [413, 5, 497, 13]}, {\"cell\": \"1\", \"bbox\": [9, 33, 14, 41]}, {\"cell\": \"M\", \"bbox\": [28, 33, 35, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 33, 61, 41]}, {\"cell\": \"4\", \"bbox\": [84, 33, 90, 41]}, {\"cell\": \"-\", \"bbox\": [115, 33, 119, 41]}, {\"cell\": \"37.6%\", \"bbox\": [135, 33, 154, 41]}, {\"cell\": \"d4T/3TC/Kal\", \"bbox\": [167, 33, 206, 41]}, {\"cell\": \"09\", \"bbox\": [245, 33, 254, 41]}, {\"cell\": \"25.0\", \"bbox\": [299, 33, 313, 41]}, {\"cell\": \"14.0\", \"bbox\": [340, 33, 354, 41]}, {\"cell\": \"9.9\", \"bbox\": [384, 33, 395, 41]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 33, 481, 41]}, {\"cell\": \"2\", \"bbox\": [9, 42, 14, 50]}, {\"cell\": \"F\", \"bbox\": [29, 42, 34, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 42, 61, 50]}, {\"cell\": \"4\", \"bbox\": [84, 42, 90, 50]}, {\"cell\": \"-9.52\", \"bbox\": [109, 42, 125, 50]}, {\"cell\": \"7.9%\", \"bbox\": [137, 42, 152, 50]}, {\"cell\": \"AZT/3TC/EFV\", \"bbox\": [165, 42, 208, 50]}, {\"cell\": \"20\", \"bbox\": [245, 42, 254, 50]}, {\"cell\": \"18.0\", \"bbox\": [299, 42, 313, 50]}, {\"cell\": \"33.0\", \"bbox\": [340, 42, 354, 50]}, {\"cell\": \"10.7\", \"bbox\": [382, 42, 396, 50]}, {\"cell\": \"TB Miliary\", \"bbox\": [413, 42, 444, 50]}, {\"cell\": \"3\", \"bbox\": [9, 51, 14, 59]}, {\"cell\": \"F\", \"bbox\": [29, 51, 34, 59]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 51, 61, 59]}, {\"cell\": \"4\", \"bbox\": [84, 51, 90, 59]}, {\"cell\": \"-4.34\", \"bbox\": [109, 51, 125, 59]}, {\"cell\": \"0.8%\", \"bbox\": [137, 51, 152, 59]}, {\"cell\": \"d4T/3TC/EFV\", \"bbox\": [166, 51, 206, 59]}, {\"cell\": \"14\", \"bbox\": [245, 51, 254, 59]}, {\"cell\": \"30.0\", \"bbox\": [299, 51, 313, 59]}, {\"cell\": \"12.0\", \"bbox\": [340, 51, 354, 59]}, {\"cell\": \"7.9\", \"bbox\": [384, 51, 395, 59]}, {\"cell\": \"TB Adenopathy\", \"bbox\": [413, 51, 460, 59]}, {\"cell\": \"4\", \"bbox\": [9, 60, 14, 68]}, {\"cell\": \"M\", \"bbox\": [28, 60, 35, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 60, 61, 68]}, {\"cell\": \"4\", \"bbox\": [84, 60, 90, 68]}, {\"cell\": \"-4.81\", \"bbox\": [109, 60, 125, 68]}, {\"cell\": \"-\", \"bbox\": [143, 60, 147, 68]}, {\"cell\": \"AZT/3TC/Kal\", \"bbox\": [166, 60, 207, 68]}, {\"cell\": \"10\", \"bbox\": [245, 60, 254, 68]}, {\"cell\": \"-\", \"bbox\": [304, 60, 308, 68]}, {\"cell\": \"-\", \"bbox\": [345, 60, 349, 68]}, {\"cell\": \"9.1\", \"bbox\": [384, 60, 394, 68]}, {\"cell\": \"TB Lymph\", \"bbox\": [413, 60, 444, 68]}, {\"cell\": \"5\", \"bbox\": [9, 69, 14, 77]}, {\"cell\": \"F\", \"bbox\": [29, 69, 34, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 69, 61, 77]}, {\"cell\": \"3\", \"bbox\": [84, 69, 90, 77]}, {\"cell\": \"-5.94\", \"bbox\": [109, 69, 125, 77]}, {\"cell\": \"8.0%\", \"bbox\": [137, 69, 152, 77]}, {\"cell\": \"d4T/3TC/EFV\", \"bbox\": [166, 69, 207, 77]}, {\"cell\": \"06\", \"bbox\": [245, 69, 255, 77]}, {\"cell\": \"32.0\", \"bbox\": [299, 69, 313, 77]}, {\"cell\": \"24.0\", \"bbox\": [340, 69, 354, 77]}, {\"cell\": \"11.7\", \"bbox\": [382, 69, 396, 77]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 69, 481, 77]}, {\"cell\": \"6\", \"bbox\": [9, 78, 14, 86]}, {\"cell\": \"F\", \"bbox\": [29, 78, 34, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 78, 61, 86]}, {\"cell\": \"3\", \"bbox\": [84, 78, 90, 86]}, {\"cell\": \"-7.50\", \"bbox\": [109, 78, 125, 86]}, {\"cell\": \"6.0%\", \"bbox\": [137, 78, 152, 86]}, {\"cell\": \"d4T/3TC/Kal\", \"bbox\": [167, 78, 206, 86]}, {\"cell\": \"01\", \"bbox\": [245, 78, 255, 86]}, {\"cell\": \"26.0\", \"bbox\": [299, 78, 313, 86]}, {\"cell\": \"116.0\", \"bbox\": [338, 78, 356, 86]}, {\"cell\": \"7.0\", \"bbox\": [384, 78, 395, 86]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 78, 481, 86]}, {\"cell\": \"7\", \"bbox\": [9, 87, 14, 95]}, {\"cell\": \"F\", \"bbox\": [29, 87, 34, 95]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 87, 61, 95]}, {\"cell\": \"4\", \"bbox\": [84, 87, 90, 95]}, {\"cell\": \"-5.42\", \"bbox\": [109, 87, 125, 95]}, {\"cell\": \"27.0%\", \"bbox\": [135, 87, 154, 95]}, {\"cell\": \"d4T/3TC/RTV\", \"bbox\": [165, 87, 207, 95]}, {\"cell\": \"05\", \"bbox\": [245, 87, 254, 95]}, {\"cell\": \"28.0\", \"bbox\": [299, 87, 313, 95]}, {\"cell\": \"53.0\", \"bbox\": [340, 87, 354, 95]}, {\"cell\": \"10.2\", \"bbox\": [382, 87, 396, 95]}, {\"cell\": \"TB Abdomen\", \"bbox\": [413, 87, 453, 95]}, {\"cell\": \"8\", \"bbox\": [9, 96, 14, 104]}, {\"cell\": \"F\", \"bbox\": [29, 96, 34, 104]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [49, 96, 63, 104]}, {\"cell\": \"3\", \"bbox\": [84, 96, 90, 104]}, {\"cell\": \"-9.51\", \"bbox\": [109, 96, 125, 104]}, {\"cell\": \"2.1%\", \"bbox\": [137, 96, 152, 104]}, {\"cell\": \"d4T/3TC/EFV\", \"bbox\": [166, 96, 207, 104]}, {\"cell\": \"02\", \"bbox\": [245, 96, 255, 104]}, {\"cell\": \"-\", \"bbox\": [304, 96, 308, 104]}, {\"cell\": \"-\", \"bbox\": [345, 96, 349, 104]}, {\"cell\": \"10.1\", \"bbox\": [382, 96, 396, 104]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 96, 481, 104]}, {\"cell\": \"9\", \"bbox\": [9, 105, 14, 113]}, {\"cell\": \"M\", \"bbox\": [28, 105, 35, 113]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 105, 61, 113]}, {\"cell\": \"4\", \"bbox\": [84, 105, 90, 113]}, {\"cell\": \"-5.24\", \"bbox\": [109, 105, 125, 113]}, {\"cell\": \"4.0%\", \"bbox\": [137, 105, 152, 113]}, {\"cell\": \"d4T/3TC/Kal\", \"bbox\": [167, 105, 206, 113]}, {\"cell\": \"05\", \"bbox\": [246, 105, 255, 113]}, {\"cell\": \"25.0\", \"bbox\": [299, 105, 313, 113]}, {\"cell\": \"45.0\", \"bbox\": [340, 105, 354, 113]}, {\"cell\": \"11.7\", \"bbox\": [382, 105, 396, 113]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 105, 481, 113]}, {\"cell\": \"10\", \"bbox\": [7, 114, 16, 122]}, {\"cell\": \"M\", \"bbox\": [28, 114, 35, 122]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 114, 61, 122]}, {\"cell\": \"3\", \"bbox\": [84, 114, 90, 122]}, {\"cell\": \"-\", \"bbox\": [115, 114, 119, 122]}, {\"cell\": \"1.1%\", \"bbox\": [137, 114, 152, 122]}, {\"cell\": \"AZT/3TC/EFV\", \"bbox\": [165, 114, 208, 122]}, {\"cell\": \"05\", \"bbox\": [245, 114, 254, 122]}, {\"cell\": \"39.0\", \"bbox\": [299, 114, 313, 122]}, {\"cell\": \"16.0\", \"bbox\": [340, 114, 354, 122]}, {\"cell\": \"9.3\", \"bbox\": [384, 114, 395, 122]}, {\"cell\": \"Chronic gastroenteritis\", \"bbox\": [413, 114, 481, 122]}, {\"cell\": \"11\", \"bbox\": [7, 123, 16, 131]}, {\"cell\": \"M\", \"bbox\": [28, 123, 35, 131]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [49, 123, 63, 131]}, {\"cell\": \"3\", \"bbox\": [84, 123, 90, 131]}, {\"cell\": \"-6.95\", \"bbox\": [109, 123, 125, 131]}, {\"cell\": \"1.0%\", \"bbox\": [137, 123, 152, 131]}, {\"cell\": \"d4T/3TC/EFV\", \"bbox\": [166, 123, 206, 131]}, {\"cell\": \"06\", \"bbox\": [245, 123, 254, 131]}, {\"cell\": \"-\", \"bbox\": [304, 123, 308, 131]}, {\"cell\": \"-\", \"bbox\": [345, 123, 349, 131]}, {\"cell\": \"5.6\", \"bbox\": [384, 123, 395, 131]}, {\"cell\": \"Suspected PCP\", \"bbox\": [413, 123, 458, 131]}, {\"cell\": \"12\", \"bbox\": [7, 132, 16, 140]}, {\"cell\": \"F\", \"bbox\": [29, 132, 34, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 132, 61, 140]}, {\"cell\": \"3\", \"bbox\": [84, 132, 90, 140]}, {\"cell\": \"-0.87\", \"bbox\": [109, 132, 125, 140]}, {\"cell\": \"1.0%\", \"bbox\": [137, 132, 152, 140]}, {\"cell\": \"d4T/3TC/Kal\", \"bbox\": [167, 132, 206, 140]}, {\"cell\": \"01\", \"bbox\": [245, 132, 254, 140]}, {\"cell\": \"19.0\", \"bbox\": [299, 132, 313, 140]}, {\"cell\": \"8.0\", \"bbox\": [342, 132, 352, 140]}, {\"cell\": \"4.1\", \"bbox\": [384, 132, 395, 140]}, {\"cell\": \"Sepsis syndrome\", \"bbox\": [413, 132, 462, 140]}, {\"cell\": \"13\", \"bbox\": [7, 141, 16, 149]}, {\"cell\": \"M\", \"bbox\": [28, 141, 35, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [51, 141, 61, 149]}, {\"cell\": \"3\", \"bbox\": [84, 141, 90, 149]}, {\"cell\": \"-6.71\", \"bbox\": [109, 141, 125, 149]}, {\"cell\": \"0.5%\", \"bbox\": [137, 141, 152, 149]}, {\"cell\": \"d4T/3TC/EFV\", \"bbox\": [166, 141, 206, 149]}, {\"cell\": \"08\", \"bbox\": [245, 141, 254, 149]}, {\"cell\": \"28.0\", \"bbox\": [299, 141, 313, 149]}, {\"cell\": \"8.3\", \"bbox\": [342, 141, 352, 149]}, {\"cell\": \"7.0\", \"bbox\": [384, 141, 395, 149]}, {\"cell\": \"Respiratory tract infection\", \"bbox\": [413, 141, 490, 149]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC1847430_010_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}972{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Model 0</b></td><td><b>Model 1</b></td><td><b>Model 2</b></td><td><b>Model 3</b></td><td><b>Model 4</b></td><td><b>Model 5</b></td></tr></thead><tbody><tr><td><b>Fixed effect</b></td><td colspan=\\\"6\\\">[EMPTY_CELL]</td></tr><tr><td>Intercept</td><td>[EMPTY_CELL]</td><td>3.77 (1.14)***</td><td>3.94 (1.38)**</td><td>1.87 (1.05).</td><td>−13.29 (5.35)*</td><td>−16.28 (5.60)**</td></tr><tr><td>Level–1 : Sampling</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Daily wind speed (7 previous days mean)</td><td>[EMPTY_CELL]</td><td>−0.33 (0.01)*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−0.30 (0.15)*</td><td>[EMPTY_CELL]</td></tr><tr><td>Daily relative humidity (sampling day)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>−0.02 (0.01).</td><td>[EMPTY_CELL]</td><td>−0.02 (0.01).</td><td>−0.02 (0.01).</td></tr><tr><td>Daily maximum temperature (sampling day)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>0.03 (0.02).</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Level–2 : Site</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Euclidean mean nearest-neighbour distance (r<sup>a</sup> = 500 m)</td><td>[EMPTY_CELL]</td><td>−0.02 (0.01)***</td><td>−0.02 (0.00)***</td><td>−0.02 (0.01)*</td><td>−0.03 (0.01)***</td><td>−0.03 (0.01) **</td></tr><tr><td>Area-weighted mean forest shape index (r = 1500 m)</td><td>[EMPTY_CELL]</td><td>1.01 (0.21)***</td><td>1.10 (0.23)***</td><td>1.06 (0.22)*</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>Area-weighted mean patch fractal dimension (r = 1500 m)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>18.63 (4.32)***</td><td>20.50 (4.65).</td></tr><tr><td><b>Random effect</b></td><td colspan=\\\"6\\\">[EMPTY_CELL]</td></tr><tr><td>Intercept</td><td>[EMPTY_CELL]</td><td>1.32 (0.10)</td><td>2.00 (0.13)</td><td>1.73 (0.12)</td><td>1.62 (0.11)</td><td>2.17 (0.13)</td></tr><tr><td><b>AIC</b></td><td>[EMPTY_CELL]</td><td>1391.81</td><td>1393.49</td><td>1393.92</td><td>1394.68</td><td>1396.54</td></tr><tr><td><b>ΔAIC</b></td><td>[EMPTY_CELL]</td><td>41.44</td><td>39.76</td><td>39.33</td><td>38.56</td><td>36.71</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Model 0</b>\", \"bbox\": [191, 4, 222, 12]}, {\"cell\": \"<b>Model 1</b>\", \"bbox\": [238, 4, 268, 12]}, {\"cell\": \"<b>Model 2</b>\", \"bbox\": [289, 4, 319, 12]}, {\"cell\": \"<b>Model 3</b>\", \"bbox\": [340, 4, 370, 12]}, {\"cell\": \"<b>Model 4</b>\", \"bbox\": [385, 4, 415, 12]}, {\"cell\": \"<b>Model 5</b>\", \"bbox\": [436, 4, 466, 12]}, {\"cell\": \"<b>Fixed effect</b>\", \"bbox\": [1, 17, 43, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 17, 263, 27]}, {\"cell\": \"Intercept\", \"bbox\": [1, 31, 31, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 31, 235, 41]}, {\"cell\": \"3.77 (1.14)***\", \"bbox\": [238, 31, 281, 41]}, {\"cell\": \"3.94 (1.38)**\", \"bbox\": [289, 31, 329, 41]}, {\"cell\": \"1.87 (1.05).\", \"bbox\": [340, 31, 375, 41]}, {\"cell\": \"−13.29 (5.35)*\", \"bbox\": [385, 31, 430, 41]}, {\"cell\": \"−16.28 (5.60)**\", \"bbox\": [436, 31, 484, 41]}, {\"cell\": \"Level–1 : Sampling\", \"bbox\": [1, 45, 63, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Daily wind speed (7 previous days mean)\", \"bbox\": [1, 59, 135, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.33 (0.01)*\", \"bbox\": [238, 59, 280, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.30 (0.15)*\", \"bbox\": [385, 59, 426, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Daily relative humidity (sampling day)\", \"bbox\": [1, 73, 124, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.02 (0.01).\", \"bbox\": [289, 73, 329, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.02 (0.01).\", \"bbox\": [385, 73, 425, 83]}, {\"cell\": \"−0.02 (0.01).\", \"bbox\": [436, 73, 476, 83]}, {\"cell\": \"Daily maximum temperature (sampling day)\", \"bbox\": [1, 87, 144, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"0.03 (0.02).\", \"bbox\": [340, 87, 375, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Level–2 : Site\", \"bbox\": [1, 101, 44, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Euclidean mean nearest-neighbour distance (r<sup>a</sup> = 500 m)\", \"bbox\": [1, 113, 183, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"−0.02 (0.01)***\", \"bbox\": [238, 115, 286, 125]}, {\"cell\": \"−0.02 (0.00)***\", \"bbox\": [289, 115, 337, 125]}, {\"cell\": \"−0.02 (0.01)*\", \"bbox\": [340, 115, 382, 125]}, {\"cell\": \"−0.03 (0.01)***\", \"bbox\": [385, 115, 433, 125]}, {\"cell\": \"−0.03 (0.01) **\", \"bbox\": [436, 115, 483, 125]}, {\"cell\": \"Area-weighted mean forest shape index (r = 1500 m)\", \"bbox\": [1, 129, 172, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"1.01 (0.21)***\", \"bbox\": [238, 129, 281, 139]}, {\"cell\": \"1.10 (0.23)***\", \"bbox\": [289, 129, 332, 139]}, {\"cell\": \"1.06 (0.22)*\", \"bbox\": [340, 129, 377, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Area-weighted mean patch fractal dimension (r = 1500 m)\", \"bbox\": [1, 143, 188, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"18.63 (4.32)***\", \"bbox\": [385, 143, 432, 153]}, {\"cell\": \"20.50 (4.65).\", \"bbox\": [436, 143, 475, 153]}, {\"cell\": \"<b>Random effect</b>\", \"bbox\": [1, 157, 53, 165]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 157, 256, 167]}, {\"cell\": \"Intercept\", \"bbox\": [1, 171, 31, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 171, 225, 181]}, {\"cell\": \"1.32 (0.10)\", \"bbox\": [238, 171, 272, 181]}, {\"cell\": \"2.00 (0.13)\", \"bbox\": [289, 171, 323, 181]}, {\"cell\": \"1.73 (0.12)\", \"bbox\": [340, 171, 374, 181]}, {\"cell\": \"1.62 (0.11)\", \"bbox\": [385, 171, 419, 181]}, {\"cell\": \"2.17 (0.13)\", \"bbox\": [436, 171, 470, 181]}, {\"cell\": \"<b>AIC</b>\", \"bbox\": [1, 185, 14, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 185, 218, 195]}, {\"cell\": \"1391.81\", \"bbox\": [238, 185, 264, 195]}, {\"cell\": \"1393.49\", \"bbox\": [289, 185, 315, 195]}, {\"cell\": \"1393.92\", \"bbox\": [340, 185, 366, 195]}, {\"cell\": \"1394.68\", \"bbox\": [385, 185, 411, 195]}, {\"cell\": \"1396.54\", \"bbox\": [436, 185, 462, 195]}, {\"cell\": \"<b>ΔAIC</b>\", \"bbox\": [1, 199, 19, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [191, 199, 197, 209]}, {\"cell\": \"41.44\", \"bbox\": [238, 199, 256, 209]}, {\"cell\": \"39.76\", \"bbox\": [289, 199, 307, 209]}, {\"cell\": \"39.33\", \"bbox\": [340, 199, 358, 209]}, {\"cell\": \"38.56\", \"bbox\": [385, 199, 403, 209]}, {\"cell\": \"36.71\", \"bbox\": [436, 199, 454, 209]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3419667_007_01.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}973{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td rowspan=\\\"2\\\"><b>Variables</b></td><td rowspan=\\\"2\\\"><b>Description</b></td><td><b>Case</b></td><td><b>Control</b></td></tr><tr><td><b><i>N</i> = 185(%)</b></td><td><b><i>N</i> = 185(%)</b></td></tr></thead><tbody><tr><td rowspan=\\\"2\\\">Main material of the room’s wall</td><td>Mud</td><td>[EMPTY_CELL]</td><td>180(98)</td></tr><tr><td>Wood plunk</td><td>2(1)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Main material of room’s window</td><td>Metallic</td><td>[EMPTY_CELL]</td><td>11(6)</td></tr><tr><td>Wooden</td><td>120(65)</td><td>[EMPTY_CELL]</td></tr><tr><td>No window</td><td>55(30)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Main material of the room’s floor</td><td>Cement</td><td>[EMPTY_CELL]</td><td>2(1)</td></tr><tr><td>Earth</td><td>46(25)</td><td>[EMPTY_CELL]</td></tr><tr><td>Local dung</td><td>138(75)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"3\\\">Sleeping sites</td><td>Bed with mattress</td><td>[EMPTY_CELL]</td><td>67(36)</td></tr><tr><td>Bed without mattress</td><td>136 (74)</td><td>[EMPTY_CELL]</td></tr><tr><td>Floor</td><td>6 (3)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Household bed net possession</td><td>Yes</td><td>[EMPTY_CELL]</td><td>161(87)</td></tr><tr><td>No</td><td>33(18)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Indoor residual spraying</td><td>Yes</td><td>[EMPTY_CELL]</td><td>47(26)</td></tr><tr><td>No</td><td>132(72)</td><td>[EMPTY_CELL]</td></tr><tr><td rowspan=\\\"2\\\">Bed net utilization</td><td>Yes</td><td>[EMPTY_CELL]</td><td>153(95)</td></tr><tr><td>No</td><td>17(11)</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Variables</b>\", \"bbox\": [1, 4, 30, 13]}, {\"cell\": \"<b>Description</b>\", \"bbox\": [186, 4, 224, 13]}, {\"cell\": \"<b>Case</b>\", \"bbox\": [334, 4, 351, 13]}, {\"cell\": \"<b>Control</b>\", \"bbox\": [448, 4, 474, 13]}, {\"cell\": \"<b><i>N</i> = 185(%)</b>\", \"bbox\": [334, 17, 371, 27]}, {\"cell\": \"<b><i>N</i> = 185(%)</b>\", \"bbox\": [448, 17, 484, 27]}, {\"cell\": \"Main material of the room’s wall\", \"bbox\": [1, 30, 107, 40]}, {\"cell\": \"Mud\", \"bbox\": [186, 30, 203, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 30, 360, 40]}, {\"cell\": \"180(98)\", \"bbox\": [448, 30, 474, 40]}, {\"cell\": \"Wood plunk\", \"bbox\": [186, 44, 228, 54]}, {\"cell\": \"2(1)\", \"bbox\": [334, 44, 348, 54]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 44, 462, 54]}, {\"cell\": \"Main material of room’s window\", \"bbox\": [1, 58, 107, 68]}, {\"cell\": \"Metallic\", \"bbox\": [186, 58, 213, 68]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 58, 348, 68]}, {\"cell\": \"11(6)\", \"bbox\": [448, 58, 466, 68]}, {\"cell\": \"Wooden\", \"bbox\": [186, 72, 216, 82]}, {\"cell\": \"120(65)\", \"bbox\": [334, 72, 360, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 72, 474, 82]}, {\"cell\": \"No window\", \"bbox\": [186, 86, 226, 96]}, {\"cell\": \"55(30)\", \"bbox\": [334, 86, 356, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 86, 470, 96]}, {\"cell\": \"Main material of the room’s floor\", \"bbox\": [1, 100, 108, 110]}, {\"cell\": \"Cement\", \"bbox\": [186, 100, 213, 110]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 100, 348, 110]}, {\"cell\": \"2(1)\", \"bbox\": [448, 100, 462, 110]}, {\"cell\": \"Earth\", \"bbox\": [186, 114, 204, 124]}, {\"cell\": \"46(25)\", \"bbox\": [334, 114, 356, 124]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 114, 470, 124]}, {\"cell\": \"Local dung\", \"bbox\": [186, 128, 224, 138]}, {\"cell\": \"138(75)\", \"bbox\": [334, 128, 360, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 128, 474, 138]}, {\"cell\": \"Sleeping sites\", \"bbox\": [1, 142, 46, 152]}, {\"cell\": \"Bed with mattress\", \"bbox\": [186, 142, 246, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 142, 358, 152]}, {\"cell\": \"67(36)\", \"bbox\": [448, 142, 470, 152]}, {\"cell\": \"Bed without mattress\", \"bbox\": [186, 156, 257, 166]}, {\"cell\": \"136 (74)\", \"bbox\": [334, 156, 362, 166]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 156, 474, 166]}, {\"cell\": \"Floor\", \"bbox\": [186, 170, 204, 180]}, {\"cell\": \"6 (3)\", \"bbox\": [334, 170, 351, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 170, 462, 180]}, {\"cell\": \"Household bed net possession\", \"bbox\": [1, 184, 101, 194]}, {\"cell\": \"Yes\", \"bbox\": [186, 184, 199, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 184, 360, 194]}, {\"cell\": \"161(87)\", \"bbox\": [448, 184, 474, 194]}, {\"cell\": \"No\", \"bbox\": [186, 198, 197, 208]}, {\"cell\": \"33(18)\", \"bbox\": [334, 198, 356, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 198, 470, 208]}, {\"cell\": \"Indoor residual spraying\", \"bbox\": [1, 212, 80, 222]}, {\"cell\": \"Yes\", \"bbox\": [186, 212, 199, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 212, 356, 222]}, {\"cell\": \"47(26)\", \"bbox\": [448, 212, 470, 222]}, {\"cell\": \"No\", \"bbox\": [186, 226, 197, 236]}, {\"cell\": \"132(72)\", \"bbox\": [334, 226, 360, 236]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 226, 474, 236]}, {\"cell\": \"Bed net utilization\", \"bbox\": [1, 240, 61, 250]}, {\"cell\": \"Yes\", \"bbox\": [186, 240, 199, 250]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [334, 240, 360, 250]}, {\"cell\": \"153(95)\", \"bbox\": [448, 240, 474, 250]}, {\"cell\": \"No\", \"bbox\": [186, 254, 197, 264]}, {\"cell\": \"17(11)\", \"bbox\": [334, 254, 356, 264]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [448, 254, 462, 264]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5896134_004_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}974{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Procedure type</b></td><td><b>Not at All</b></td><td><b>Occasionally</b></td><td><b>Routinely</b></td><td><b>Total</b></td></tr></thead><tbody><tr><td colspan=\\\"5\\\">“very common” procedures</td></tr><tr><td>Non-implant restorative</td><td>2% (49)</td><td>2% (41)</td><td>[EMPTY_CELL]</td><td>100% (2323)</td></tr><tr><td>Esthetic procedures</td><td>5% (109)</td><td>36% (835)</td><td>[EMPTY_CELL]</td><td>100% (2328)</td></tr><tr><td>Extractions</td><td>5% (119)</td><td>31% (726)</td><td>[EMPTY_CELL]</td><td>100% (2318)</td></tr><tr><td>Removable prosthetics</td><td>6% (130)</td><td>38% (876)</td><td>[EMPTY_CELL]</td><td>100% (2322)</td></tr><tr><td>Endodontic therapy – anteriors/premolars</td><td>16% (376)</td><td>26% (605)</td><td>[EMPTY_CELL]</td><td>100% (2320)</td></tr><tr><td colspan=\\\"5\\\">“common” procedures</td></tr><tr><td>Endodontic therapy – molars</td><td>38% (883)</td><td>26% (603)</td><td>[EMPTY_CELL]</td><td>100% (2317)</td></tr><tr><td>Implants</td><td>39% (889)</td><td>39% (902)</td><td>[EMPTY_CELL]</td><td>100% (2305)</td></tr><tr><td>Periodontal therapy – non-surgical</td><td>40% (917)</td><td>37% (859)</td><td>[EMPTY_CELL]</td><td>100% (2317)</td></tr><tr><td colspan=\\\"5\\\">“uncommon” procedures</td></tr><tr><td>Orthodontic treatment</td><td>68% (1565)</td><td>23% (532)</td><td>[EMPTY_CELL]</td><td>100% (2314)</td></tr><tr><td>Periodontal therapy - surgical</td><td>69% (1578)</td><td>26% (601)</td><td>[EMPTY_CELL]</td><td>100% (2306)</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Procedure type</b>\", \"bbox\": [1, 4, 56, 13]}, {\"cell\": \"<b>Not at All</b>\", \"bbox\": [183, 4, 219, 13]}, {\"cell\": \"<b>Occasionally</b>\", \"bbox\": [267, 4, 312, 13]}, {\"cell\": \"<b>Routinely</b>\", \"bbox\": [359, 4, 394, 13]}, {\"cell\": \"<b>Total</b>\", \"bbox\": [443, 4, 463, 13]}, {\"cell\": \"“very common” procedures\", \"bbox\": [1, 17, 90, 27]}, {\"cell\": \"Non-implant restorative\", \"bbox\": [1, 31, 78, 41]}, {\"cell\": \"2% (49)\", \"bbox\": [183, 31, 209, 41]}, {\"cell\": \"2% (41)\", \"bbox\": [267, 31, 293, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 31, 397, 41]}, {\"cell\": \"100% (2323)\", \"bbox\": [443, 31, 484, 41]}, {\"cell\": \"Esthetic procedures\", \"bbox\": [1, 45, 65, 55]}, {\"cell\": \"5% (109)\", \"bbox\": [183, 45, 213, 55]}, {\"cell\": \"36% (835)\", \"bbox\": [267, 45, 301, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 45, 397, 55]}, {\"cell\": \"100% (2328)\", \"bbox\": [443, 45, 484, 55]}, {\"cell\": \"Extractions\", \"bbox\": [1, 59, 37, 69]}, {\"cell\": \"5% (119)\", \"bbox\": [183, 59, 213, 69]}, {\"cell\": \"31% (726)\", \"bbox\": [267, 59, 301, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 59, 397, 69]}, {\"cell\": \"100% (2318)\", \"bbox\": [443, 59, 484, 69]}, {\"cell\": \"Removable prosthetics\", \"bbox\": [1, 73, 75, 83]}, {\"cell\": \"6% (130)\", \"bbox\": [183, 73, 213, 83]}, {\"cell\": \"38% (876)\", \"bbox\": [267, 73, 301, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 73, 397, 83]}, {\"cell\": \"100% (2322)\", \"bbox\": [443, 73, 484, 83]}, {\"cell\": \"Endodontic therapy – anteriors/premolars\", \"bbox\": [1, 87, 137, 97]}, {\"cell\": \"16% (376)\", \"bbox\": [183, 87, 217, 97]}, {\"cell\": \"26% (605)\", \"bbox\": [267, 87, 301, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 87, 397, 97]}, {\"cell\": \"100% (2320)\", \"bbox\": [443, 87, 484, 97]}, {\"cell\": \"“common” procedures\", \"bbox\": [1, 101, 74, 111]}, {\"cell\": \"Endodontic therapy – molars\", \"bbox\": [1, 115, 96, 125]}, {\"cell\": \"38% (883)\", \"bbox\": [183, 115, 217, 125]}, {\"cell\": \"26% (603)\", \"bbox\": [267, 115, 301, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 115, 393, 125]}, {\"cell\": \"100% (2317)\", \"bbox\": [443, 115, 484, 125]}, {\"cell\": \"Implants\", \"bbox\": [1, 129, 30, 139]}, {\"cell\": \"39% (889)\", \"bbox\": [183, 129, 217, 139]}, {\"cell\": \"39% (902)\", \"bbox\": [267, 129, 301, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 129, 393, 139]}, {\"cell\": \"100% (2305)\", \"bbox\": [443, 129, 484, 139]}, {\"cell\": \"Periodontal therapy – non-surgical\", \"bbox\": [1, 143, 114, 153]}, {\"cell\": \"40% (917)\", \"bbox\": [183, 143, 217, 153]}, {\"cell\": \"37% (859)\", \"bbox\": [267, 143, 301, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 143, 393, 153]}, {\"cell\": \"100% (2317)\", \"bbox\": [443, 143, 484, 153]}, {\"cell\": \"“uncommon” procedures\", \"bbox\": [1, 157, 83, 167]}, {\"cell\": \"Orthodontic treatment\", \"bbox\": [1, 171, 75, 181]}, {\"cell\": \"68% (1565)\", \"bbox\": [183, 171, 221, 181]}, {\"cell\": \"23% (532)\", \"bbox\": [267, 171, 301, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 171, 389, 181]}, {\"cell\": \"100% (2314)\", \"bbox\": [443, 171, 484, 181]}, {\"cell\": \"Periodontal therapy - surgical\", \"bbox\": [1, 185, 97, 195]}, {\"cell\": \"69% (1578)\", \"bbox\": [183, 185, 221, 195]}, {\"cell\": \"26% (601)\", \"bbox\": [267, 185, 301, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [359, 185, 389, 195]}, {\"cell\": \"100% (2306)\", \"bbox\": [443, 185, 484, 195]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4324862_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}975{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Synaptotagmin, 215–223</b></td><td><b>Synaptotagmin, 238–245</b></td></tr></thead><tbody><tr><td colspan=\\\"3\\\">Sample set I, control (<i>N</i> = 17)</td></tr><tr><td> Age</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> MMSE</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Amyloid-β<sub>1–42</sub> (ng/L)</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Total tau (ng/L)</td><td>[EMPTY_CELL]</td><td>rho = 0.749, <i>P</i> = 0.001</td></tr><tr><td> Phosphorylated tau (ng/L)</td><td>[EMPTY_CELL]</td><td>rho = 0.708, <i>P</i> = 0.001</td></tr><tr><td> Synaptotagmin, 215–223</td><td>[EMPTY_CELL]</td><td>rho = 0.971, <i>P</i> < 0.00001</td></tr><tr><td> Synaptotagmin, 238–245</td><td>[EMPTY_CELL]</td><td>–</td></tr><tr><td colspan=\\\"3\\\">Alzheimer’s disease dementia (<i>N</i> = 17)</td></tr><tr><td> Age</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> MMSE</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Amyloid-β<sub>1–42</sub> (ng/L)</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Total tau (ng/L)</td><td>[EMPTY_CELL]</td><td>rho = 0.610, <i>P</i> = 0.009</td></tr><tr><td> Phosphorylated tau (ng/L)</td><td>[EMPTY_CELL]</td><td>rho = 0.656, <i>P</i> = 0.004</td></tr><tr><td> Synaptotagmin, 215–223</td><td>[EMPTY_CELL]</td><td>rho = 0.980, <i>P</i> < 0.00001</td></tr><tr><td> Synaptotagmin, 238–245</td><td>[EMPTY_CELL]</td><td>–</td></tr><tr><td colspan=\\\"3\\\">Sample set II, control (<i>N</i> = 36)</td></tr><tr><td> Age</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> MMSE</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Amyloid-β<sub>1–42</sub> (ng/L)</td><td>[EMPTY_CELL]</td><td>rho = 0.348, <i>P</i> = 0.04</td></tr><tr><td> Total tau (ng/L)</td><td>[EMPTY_CELL]</td><td>rho = 0.633, <i>P</i> = 0.00004</td></tr><tr><td> Phosphorylated tau (ng/L)</td><td>[EMPTY_CELL]</td><td>rho = 0.683, <i>P</i> < 0.00001</td></tr><tr><td> Synaptotagmin, 215–223</td><td>[EMPTY_CELL]</td><td>rho = 0.995, <i>P</i> < 0.00001</td></tr><tr><td> Synaptotagmin, 238–245</td><td>[EMPTY_CELL]</td><td>–</td></tr><tr><td colspan=\\\"3\\\">MCI-AD (N = 18)</td></tr><tr><td> Age</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> MMSE</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Amyloid-β<sub>1–42</sub> (ng/L)</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Total tau (ng/L)</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Phosphorylated tau (ng/L)</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Synaptotagmin, 215–223</td><td>[EMPTY_CELL]</td><td>rho = 0.988, <i>P</i> < 0.00001</td></tr><tr><td> Synaptotagmin, 238–245</td><td>[EMPTY_CELL]</td><td>–</td></tr><tr><td colspan=\\\"3\\\">Alzheimer’s disease dementia (<i>N</i> = 24)</td></tr><tr><td> Age</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> MMSE</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Amyloid-β<sub>1–42</sub> (ng/L)</td><td>[EMPTY_CELL]</td><td>N.S.</td></tr><tr><td> Total tau (ng/L)</td><td>[EMPTY_CELL]</td><td>rho = 0.675, <i>P</i> = 0.0003</td></tr><tr><td> Phosphorylated tau (ng/L)</td><td>[EMPTY_CELL]</td><td>rho = 0.673, <i>P</i> = 0.0003</td></tr><tr><td> Synaptotagmin, 215–223</td><td>[EMPTY_CELL]</td><td>rho = 0.995, <i>P</i> < 0.00001</td></tr><tr><td> Synaptotagmin, 238–245</td><td>[EMPTY_CELL]</td><td>–</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Synaptotagmin, 215–223</b>\", \"bbox\": [208, 4, 289, 13]}, {\"cell\": \"<b>Synaptotagmin, 238–245</b>\", \"bbox\": [403, 4, 484, 13]}, {\"cell\": \"Sample set I, control (<i>N</i> = 17)\", \"bbox\": [1, 17, 95, 27]}, {\"cell\": \" Age\", \"bbox\": [8, 31, 23, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 31, 221, 41]}, {\"cell\": \"N.S.\", \"bbox\": [403, 31, 417, 41]}, {\"cell\": \" MMSE\", \"bbox\": [8, 45, 30, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 45, 221, 55]}, {\"cell\": \"N.S.\", \"bbox\": [403, 45, 417, 55]}, {\"cell\": \" Amyloid-β<sub>1–42</sub> (ng/L)\", \"bbox\": [8, 59, 77, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 59, 274, 69]}, {\"cell\": \"N.S.\", \"bbox\": [403, 59, 417, 69]}, {\"cell\": \" Total tau (ng/L)\", \"bbox\": [8, 73, 60, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 73, 277, 83]}, {\"cell\": \"rho = 0.749, <i>P</i> = 0.001\", \"bbox\": [403, 73, 472, 83]}, {\"cell\": \" Phosphorylated tau (ng/L)\", \"bbox\": [8, 87, 94, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 87, 276, 97]}, {\"cell\": \"rho = 0.708, <i>P</i> = 0.001\", \"bbox\": [403, 87, 472, 97]}, {\"cell\": \" Synaptotagmin, 215–223\", \"bbox\": [8, 101, 90, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 101, 214, 109]}, {\"cell\": \"rho = 0.971, <i>P</i> < 0.00001\", \"bbox\": [403, 101, 480, 111]}, {\"cell\": \" Synaptotagmin, 238–245\", \"bbox\": [8, 115, 90, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 115, 285, 125]}, {\"cell\": \"–\", \"bbox\": [403, 115, 409, 123]}, {\"cell\": \"Alzheimer’s disease dementia (<i>N</i> = 17)\", \"bbox\": [0, 129, 124, 139]}, {\"cell\": \" Age\", \"bbox\": [8, 143, 23, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 143, 221, 153]}, {\"cell\": \"N.S.\", \"bbox\": [403, 143, 417, 153]}, {\"cell\": \" MMSE\", \"bbox\": [8, 157, 30, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 157, 221, 167]}, {\"cell\": \"N.S.\", \"bbox\": [403, 157, 417, 167]}, {\"cell\": \" Amyloid-β<sub>1–42</sub> (ng/L)\", \"bbox\": [8, 171, 77, 181]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 171, 221, 181]}, {\"cell\": \"N.S.\", \"bbox\": [403, 171, 417, 181]}, {\"cell\": \" Total tau (ng/L)\", \"bbox\": [8, 185, 60, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 185, 274, 195]}, {\"cell\": \"rho = 0.610, <i>P</i> = 0.009\", \"bbox\": [403, 185, 472, 195]}, {\"cell\": \" Phosphorylated tau (ng/L)\", \"bbox\": [8, 199, 94, 209]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 199, 274, 209]}, {\"cell\": \"rho = 0.656, <i>P</i> = 0.004\", \"bbox\": [403, 199, 472, 209]}, {\"cell\": \" Synaptotagmin, 215–223\", \"bbox\": [8, 213, 90, 223]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 213, 214, 221]}, {\"cell\": \"rho = 0.980, <i>P</i> < 0.00001\", \"bbox\": [403, 213, 480, 223]}, {\"cell\": \" Synaptotagmin, 238–245\", \"bbox\": [8, 227, 90, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 227, 285, 237]}, {\"cell\": \"–\", \"bbox\": [403, 227, 409, 235]}, {\"cell\": \"Sample set II, control (<i>N</i> = 36)\", \"bbox\": [1, 241, 97, 251]}, {\"cell\": \" Age\", \"bbox\": [8, 255, 23, 265]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 255, 221, 265]}, {\"cell\": \"N.S.\", \"bbox\": [403, 255, 417, 265]}, {\"cell\": \" MMSE\", \"bbox\": [8, 269, 30, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 269, 221, 279]}, {\"cell\": \"N.S.\", \"bbox\": [403, 269, 417, 279]}, {\"cell\": \" Amyloid-β<sub>1–42</sub> (ng/L)\", \"bbox\": [8, 283, 77, 293]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 283, 274, 293]}, {\"cell\": \"rho = 0.348, <i>P</i> = 0.04\", \"bbox\": [403, 283, 469, 293]}, {\"cell\": \" Total tau (ng/L)\", \"bbox\": [8, 297, 60, 307]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 297, 285, 307]}, {\"cell\": \"rho = 0.633, <i>P</i> = 0.00004\", \"bbox\": [403, 297, 480, 307]}, {\"cell\": \" Phosphorylated tau (ng/L)\", \"bbox\": [8, 311, 94, 321]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 311, 285, 321]}, {\"cell\": \"rho = 0.683, <i>P</i> < 0.00001\", \"bbox\": [403, 311, 480, 321]}, {\"cell\": \" Synaptotagmin, 215–223\", \"bbox\": [8, 325, 90, 335]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 325, 214, 333]}, {\"cell\": \"rho = 0.995, <i>P</i> < 0.00001\", \"bbox\": [403, 325, 480, 335]}, {\"cell\": \" Synaptotagmin, 238–245\", \"bbox\": [8, 339, 90, 349]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 339, 285, 349]}, {\"cell\": \"–\", \"bbox\": [403, 339, 409, 347]}, {\"cell\": \"MCI-AD (N = 18)\", \"bbox\": [1, 353, 54, 363]}, {\"cell\": \" Age\", \"bbox\": [8, 367, 23, 377]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 367, 221, 377]}, {\"cell\": \"N.S.\", \"bbox\": [403, 367, 417, 377]}, {\"cell\": \" MMSE\", \"bbox\": [8, 381, 30, 391]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 381, 221, 391]}, {\"cell\": \"N.S.\", \"bbox\": [403, 381, 417, 391]}, {\"cell\": \" Amyloid-β<sub>1–42</sub> (ng/L)\", \"bbox\": [8, 395, 77, 405]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 395, 221, 405]}, {\"cell\": \"N.S.\", \"bbox\": [403, 395, 417, 405]}, {\"cell\": \" Total tau (ng/L)\", \"bbox\": [8, 409, 60, 419]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 409, 221, 419]}, {\"cell\": \"N.S.\", \"bbox\": [403, 409, 417, 419]}, {\"cell\": \" Phosphorylated tau (ng/L)\", \"bbox\": [8, 423, 94, 433]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 423, 221, 433]}, {\"cell\": \"N.S.\", \"bbox\": [403, 423, 417, 433]}, {\"cell\": \" Synaptotagmin, 215–223\", \"bbox\": [8, 437, 90, 447]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 437, 214, 445]}, {\"cell\": \"rho = 0.988, <i>P</i> < 0.00001\", \"bbox\": [403, 437, 480, 447]}, {\"cell\": \" Synaptotagmin, 238–245\", \"bbox\": [8, 451, 90, 461]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 451, 285, 461]}, {\"cell\": \"–\", \"bbox\": [403, 451, 409, 459]}, {\"cell\": \"Alzheimer’s disease dementia (<i>N</i> = 24)\", \"bbox\": [1, 465, 124, 475]}, {\"cell\": \" Age\", \"bbox\": [8, 479, 23, 489]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 479, 221, 489]}, {\"cell\": \"N.S.\", \"bbox\": [403, 479, 417, 489]}, {\"cell\": \" MMSE\", \"bbox\": [8, 493, 30, 503]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 493, 221, 503]}, {\"cell\": \"N.S.\", \"bbox\": [403, 493, 417, 503]}, {\"cell\": \" Amyloid-β<sub>1–42</sub> (ng/L)\", \"bbox\": [8, 507, 77, 517]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 507, 221, 517]}, {\"cell\": \"N.S.\", \"bbox\": [403, 507, 417, 517]}, {\"cell\": \" Total tau (ng/L)\", \"bbox\": [8, 521, 60, 531]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 521, 277, 531]}, {\"cell\": \"rho = 0.675, <i>P</i> = 0.0003\", \"bbox\": [403, 521, 476, 531]}, {\"cell\": \" Phosphorylated tau (ng/L)\", \"bbox\": [8, 535, 94, 545]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 535, 272, 545]}, {\"cell\": \"rho = 0.673, <i>P</i> = 0.0003\", \"bbox\": [403, 535, 476, 545]}, {\"cell\": \" Synaptotagmin, 215–223\", \"bbox\": [8, 549, 90, 559]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 549, 214, 557]}, {\"cell\": \"rho = 0.995, <i>P</i> < 0.00001\", \"bbox\": [403, 549, 480, 559]}, {\"cell\": \" Synaptotagmin, 238–245\", \"bbox\": [8, 563, 90, 573]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [208, 563, 285, 573]}, {\"cell\": \"–\", \"bbox\": [403, 563, 409, 571]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5048479_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}976{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>RIAS category</b></td><td><b>Before CST</b></td><td><b>After CST</b></td><td><b>Difference in utterances</b></td><td><b><i>P</i></b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>13.8 ± 6.8</td><td>26.0 ± 10.9</td><td>12.2 ± 13.3</td><td>0.001**</td></tr><tr><td>[EMPTY_CELL]</td><td>5.4 ± 4.6</td><td>14.9 ± 8.9</td><td>9.5 ± 11.1</td><td>0.002*</td></tr><tr><td>[EMPTY_CELL]</td><td>5.0 ± 3.8</td><td>6.7 ± 3.8</td><td>1.8 ± 3.3</td><td>0.041*</td></tr><tr><td>[EMPTY_CELL]</td><td>3.4 ± 2.5</td><td>4.4 ± 3.3</td><td>1.0 ± 3.4</td><td>0.243</td></tr><tr><td>[EMPTY_CELL]</td><td>27.9 ± 10.9</td><td>39.4 ± 11.5</td><td>11.5 ± 16.4</td><td>0.007*</td></tr><tr><td>[EMPTY_CELL]</td><td>1.9 ± 1.7</td><td>3.0 ± 2.8</td><td>1.1 ± 3.4</td><td>0.207</td></tr><tr><td>[EMPTY_CELL]</td><td>4.3 ± 1.7</td><td>3.6 ± 1.2</td><td>−0.7 ± 1.5</td><td>0.060</td></tr><tr><td>[EMPTY_CELL]</td><td>21.8 ± 10.0</td><td>32.9 ± 10.2</td><td>11.1 ± 15.3</td><td>0.005*</td></tr><tr><td>[EMPTY_CELL]</td><td>20.7 ± 8.1</td><td>35.3 ± 11.7</td><td>14.6 ± 10.7</td><td>0.000**</td></tr><tr><td>[EMPTY_CELL]</td><td>10.2 ± 5.0</td><td>17.7 ± 6.3</td><td>3.1 ± 3.3</td><td>0.003*</td></tr><tr><td>[EMPTY_CELL]</td><td>3.3 ± 3.1</td><td>6.3 ± 3.1</td><td>7.6 ± 6.7</td><td>0.000**</td></tr><tr><td>[EMPTY_CELL]</td><td>1.4 ± 1.4</td><td>11.3 ± 6.0</td><td>9.9 ± 5.8</td><td>0.000**</td></tr><tr><td>[EMPTY_CELL]</td><td>42.6 ± 15.2</td><td>40.0 ± 13.4</td><td>−2.6 ± 17.0</td><td>0.546</td></tr><tr><td>[EMPTY_CELL]</td><td>23.2 ± 9.9</td><td>24.7 ± 8.9</td><td>1.6 ± 11.8</td><td>0.463</td></tr><tr><td>[EMPTY_CELL]</td><td>19.4 ± 7.6</td><td>15.3 ± 6.1</td><td>−4.1 ± 8.1</td><td>0.013*</td></tr><tr><td>[EMPTY_CELL]</td><td>10.1 ± 3.5</td><td>10.7 ± 2.8</td><td>0.6 ± 3.7</td><td>0.455</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>RIAS category</b>\", \"bbox\": [1, 4, 47, 13]}, {\"cell\": \"<b>Before CST</b>\", \"bbox\": [152, 4, 189, 13]}, {\"cell\": \"<b>After CST</b>\", \"bbox\": [241, 4, 273, 13]}, {\"cell\": \"<b>Difference in utterances</b>\", \"bbox\": [329, 4, 407, 13]}, {\"cell\": \"<b><i>P</i></b>\", \"bbox\": [460, 4, 465, 12]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 17, 68, 27]}, {\"cell\": \"13.8 ± 6.8\", \"bbox\": [153, 17, 185, 27]}, {\"cell\": \"26.0 ± 10.9\", \"bbox\": [241, 17, 277, 27]}, {\"cell\": \"12.2 ± 13.3\", \"bbox\": [329, 17, 364, 27]}, {\"cell\": \"0.001**\", \"bbox\": [460, 17, 485, 27]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 31, 48, 41]}, {\"cell\": \"5.4 ± 4.6\", \"bbox\": [157, 31, 184, 41]}, {\"cell\": \"14.9 ± 8.9\", \"bbox\": [241, 31, 273, 41]}, {\"cell\": \"9.5 ± 11.1\", \"bbox\": [329, 31, 361, 41]}, {\"cell\": \"0.002*\", \"bbox\": [460, 31, 481, 41]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 45, 95, 55]}, {\"cell\": \"5.0 ± 3.8\", \"bbox\": [157, 45, 184, 55]}, {\"cell\": \"6.7 ± 3.8\", \"bbox\": [245, 45, 273, 55]}, {\"cell\": \"1.8 ± 3.3\", \"bbox\": [329, 45, 357, 55]}, {\"cell\": \"0.041*\", \"bbox\": [460, 45, 481, 55]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 59, 48, 69]}, {\"cell\": \"3.4 ± 2.5\", \"bbox\": [157, 59, 184, 69]}, {\"cell\": \"4.4 ± 3.3\", \"bbox\": [245, 59, 273, 69]}, {\"cell\": \"1.0 ± 3.4\", \"bbox\": [329, 59, 357, 69]}, {\"cell\": \"0.243\", \"bbox\": [460, 59, 478, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 73, 68, 83]}, {\"cell\": \"27.9 ± 10.9\", \"bbox\": [153, 73, 188, 83]}, {\"cell\": \"39.4 ± 11.5\", \"bbox\": [241, 73, 277, 83]}, {\"cell\": \"11.5 ± 16.4\", \"bbox\": [329, 73, 364, 83]}, {\"cell\": \"0.007*\", \"bbox\": [460, 73, 481, 83]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 87, 51, 97]}, {\"cell\": \"1.9 ± 1.7\", \"bbox\": [157, 87, 184, 97]}, {\"cell\": \"3.0 ± 2.8\", \"bbox\": [245, 87, 273, 97]}, {\"cell\": \"1.1 ± 3.4\", \"bbox\": [329, 87, 357, 97]}, {\"cell\": \"0.207\", \"bbox\": [460, 87, 478, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 101, 57, 111]}, {\"cell\": \"4.3 ± 1.7\", \"bbox\": [157, 101, 184, 111]}, {\"cell\": \"3.6 ± 1.2\", \"bbox\": [245, 101, 273, 111]}, {\"cell\": \"−0.7 ± 1.5\", \"bbox\": [329, 101, 362, 111]}, {\"cell\": \"0.060\", \"bbox\": [460, 101, 478, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 115, 81, 125]}, {\"cell\": \"21.8 ± 10.0\", \"bbox\": [153, 115, 188, 125]}, {\"cell\": \"32.9 ± 10.2\", \"bbox\": [241, 115, 277, 125]}, {\"cell\": \"11.1 ± 15.3\", \"bbox\": [329, 115, 364, 125]}, {\"cell\": \"0.005*\", \"bbox\": [460, 115, 481, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 129, 51, 139]}, {\"cell\": \"20.7 ± 8.1\", \"bbox\": [153, 129, 184, 139]}, {\"cell\": \"35.3 ± 11.7\", \"bbox\": [241, 129, 277, 139]}, {\"cell\": \"14.6 ± 10.7\", \"bbox\": [329, 129, 364, 139]}, {\"cell\": \"0.000**\", \"bbox\": [460, 129, 484, 139]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 143, 85, 153]}, {\"cell\": \"10.2 ± 5.0\", \"bbox\": [153, 143, 184, 153]}, {\"cell\": \"17.7 ± 6.3\", \"bbox\": [241, 143, 273, 153]}, {\"cell\": \"3.1 ± 3.3\", \"bbox\": [329, 143, 357, 153]}, {\"cell\": \"0.003*\", \"bbox\": [460, 143, 481, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 157, 100, 167]}, {\"cell\": \"3.3 ± 3.1\", \"bbox\": [157, 157, 184, 167]}, {\"cell\": \"6.3 ± 3.1\", \"bbox\": [245, 157, 273, 167]}, {\"cell\": \"7.6 ± 6.7\", \"bbox\": [329, 157, 357, 167]}, {\"cell\": \"0.000**\", \"bbox\": [460, 157, 484, 167]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [9, 171, 93, 180]}, {\"cell\": \"1.4 ± 1.4\", \"bbox\": [157, 171, 184, 180]}, {\"cell\": \"11.3 ± 6.0\", \"bbox\": [241, 171, 273, 180]}, {\"cell\": \"9.9 ± 5.8\", \"bbox\": [329, 171, 357, 180]}, {\"cell\": \"0.000**\", \"bbox\": [460, 171, 484, 180]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 185, 59, 194]}, {\"cell\": \"42.6 ± 15.2\", \"bbox\": [153, 185, 188, 194]}, {\"cell\": \"40.0 ± 13.4\", \"bbox\": [241, 185, 277, 194]}, {\"cell\": \"−2.6 ± 17.0\", \"bbox\": [329, 185, 365, 194]}, {\"cell\": \"0.546\", \"bbox\": [460, 185, 478, 194]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 199, 67, 208]}, {\"cell\": \"23.2 ± 9.9\", \"bbox\": [153, 199, 184, 208]}, {\"cell\": \"24.7 ± 8.9\", \"bbox\": [241, 199, 273, 208]}, {\"cell\": \"1.6 ± 11.8\", \"bbox\": [329, 199, 361, 208]}, {\"cell\": \"0.463\", \"bbox\": [460, 199, 478, 208]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [8, 213, 39, 222]}, {\"cell\": \"19.4 ± 7.6\", \"bbox\": [153, 213, 184, 222]}, {\"cell\": \"15.3 ± 6.1\", \"bbox\": [241, 213, 273, 222]}, {\"cell\": \"−4.1 ± 8.1\", \"bbox\": [329, 213, 362, 222]}, {\"cell\": \"0.013*\", \"bbox\": [460, 213, 481, 222]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [0, 227, 24, 236]}, {\"cell\": \"10.1 ± 3.5\", \"bbox\": [153, 227, 184, 236]}, {\"cell\": \"10.7 ± 2.8\", \"bbox\": [241, 227, 273, 236]}, {\"cell\": \"0.6 ± 3.7\", \"bbox\": [329, 227, 357, 236]}, {\"cell\": \"0.455\", \"bbox\": [460, 227, 478, 236]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5385086_005_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}977{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Hair BMAA Content (μg g<sup>−1</sup>)</b></td><td><b>Gender</b></td><td><b>Age</b></td><td><b>Ethnicity</b></td><td><b>Hair BMAA Content (μg g<sup>−1</sup>)</b></td><td><b>Gender</b></td><td><b>Age</b></td><td><b>Ethnicity</b></td></tr></thead><tbody><tr><td>ND</td><td>F</td><td>47</td><td>C</td><td>ND</td><td>F</td><td>25</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>72</td><td>C</td><td>ND</td><td>F</td><td>63</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>63</td><td>C</td><td>ND</td><td>F</td><td>58</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>40</td><td>C</td><td>ND</td><td>F</td><td>55</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>85</td><td>C</td><td>ND</td><td>F</td><td>62</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>55</td><td>C</td><td>ND</td><td>F</td><td>48</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>33</td><td>C</td><td>ND</td><td>F</td><td>20</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>37</td><td>C</td><td>ND</td><td>F</td><td>24</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>75</td><td>C</td><td>ND</td><td>F</td><td>33</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>60</td><td>C</td><td>ND</td><td>F</td><td>43</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>40</td><td>C</td><td>ND</td><td>F</td><td>47</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>58</td><td>C</td><td>ND</td><td>F</td><td>51</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>28</td><td>C</td><td>ND</td><td>F</td><td>72</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>35</td><td>C</td><td>ND</td><td>F</td><td>34</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>61</td><td>C</td><td>ND</td><td>F</td><td>44</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>M</td><td>48</td><td>C</td><td>0.021</td><td>F</td><td>26</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>25</td><td>C</td><td>0.025</td><td>M</td><td>23</td><td>[EMPTY_CELL]</td></tr><tr><td>ND</td><td>F</td><td>33</td><td>C</td><td>0.028</td><td>F</td><td>83</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>25</td><td>C</td><td>0.032</td><td>M</td><td>25</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>50</td><td>C</td><td>0.033</td><td>F</td><td>45</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>44</td><td>C</td><td>0.035</td><td>F</td><td>12</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>50</td><td>C</td><td>0.045</td><td>F</td><td>26</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>45</td><td>C</td><td>0.051</td><td>F</td><td>54</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>26</td><td>C</td><td>0.064</td><td>F</td><td>21</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>34</td><td>C</td><td>0.077</td><td>F</td><td>49</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>31</td><td>C</td><td>0.080</td><td>M</td><td>58</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>32</td><td>C</td><td>0.081</td><td>F</td><td>52</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>45</td><td>C</td><td>0.084</td><td>F</td><td>73</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>35</td><td>C</td><td>0.088</td><td>F</td><td>62</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>45</td><td>C</td><td>0.092</td><td>F</td><td>77</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>F</td><td>63</td><td>C</td><td>0.098</td><td>M</td><td>3</td><td>[EMPTY_CELL]</td></tr><tr><td><LOQ</td><td>M</td><td>26</td><td>C</td><td>0.107</td><td>F</td><td>22</td><td>[EMPTY_CELL]</td></tr><tr><td>0.006</td><td>F</td><td>48</td><td>C</td><td>0.112</td><td>F</td><td>31</td><td>[EMPTY_CELL]</td></tr><tr><td>0.007</td><td>M</td><td>79</td><td>C</td><td>0.112</td><td>F</td><td>21</td><td>[EMPTY_CELL]</td></tr><tr><td>0.008</td><td>F</td><td>34</td><td>C</td><td>0.128</td><td>F</td><td>27</td><td>[EMPTY_CELL]</td></tr><tr><td>0.009</td><td>F</td><td>27</td><td>C</td><td>0.149</td><td>F</td><td>63</td><td>[EMPTY_CELL]</td></tr><tr><td>0.012</td><td>M</td><td>50</td><td>C</td><td>0.226</td><td>F</td><td>54</td><td>[EMPTY_CELL]</td></tr><tr><td>0.014</td><td>F</td><td>50</td><td>C</td><td>0.240</td><td>F</td><td>69</td><td>[EMPTY_CELL]</td></tr><tr><td>0.015</td><td>M</td><td>18</td><td>C</td><td>0.695</td><td>F</td><td>36</td><td>[EMPTY_CELL]</td></tr><tr><td>0.016</td><td>F</td><td>26</td><td>C</td><td>0.723</td><td>F</td><td>24</td><td>[EMPTY_CELL]</td></tr><tr><td>0.016</td><td>F</td><td>43</td><td>C</td><td>0.741</td><td>F</td><td>43</td><td>[EMPTY_CELL]</td></tr><tr><td>0.016</td><td>F</td><td>52</td><td>C</td><td>1.164</td><td>M</td><td>67</td><td>[EMPTY_CELL]</td></tr><tr><td>0.018</td><td>F</td><td>61</td><td>C</td><td>1.652</td><td>F</td><td>35</td><td>[EMPTY_CELL]</td></tr><tr><td>0.021</td><td>F</td><td>47</td><td>C</td><td>9.636</td><td>F</td><td>54</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Hair BMAA Content (μg g<sup>−1</sup>)</b>\", \"bbox\": [8, 5, 103, 15]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [115, 7, 140, 15]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [157, 7, 171, 15]}, {\"cell\": \"<b>Ethnicity</b>\", \"bbox\": [186, 7, 216, 15]}, {\"cell\": \"<b>Hair BMAA Content (μg g<sup>−1</sup>)</b>\", \"bbox\": [225, 5, 320, 15]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [332, 7, 357, 15]}, {\"cell\": \"<b>Age</b>\", \"bbox\": [374, 7, 389, 15]}, {\"cell\": \"<b>Ethnicity</b>\", \"bbox\": [403, 7, 433, 15]}, {\"cell\": \"ND\", \"bbox\": [49, 19, 62, 28]}, {\"cell\": \"F\", \"bbox\": [125, 19, 130, 28]}, {\"cell\": \"47\", \"bbox\": [160, 19, 168, 28]}, {\"cell\": \"C\", \"bbox\": [197, 19, 204, 28]}, {\"cell\": \"ND\", \"bbox\": [266, 19, 279, 28]}, {\"cell\": \"F\", \"bbox\": [342, 19, 348, 28]}, {\"cell\": \"25\", \"bbox\": [377, 19, 386, 28]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 19, 421, 28]}, {\"cell\": \"ND\", \"bbox\": [49, 27, 62, 36]}, {\"cell\": \"F\", \"bbox\": [125, 27, 130, 36]}, {\"cell\": \"72\", \"bbox\": [160, 27, 168, 36]}, {\"cell\": \"C\", \"bbox\": [197, 27, 204, 36]}, {\"cell\": \"ND\", \"bbox\": [266, 27, 279, 36]}, {\"cell\": \"F\", \"bbox\": [342, 27, 348, 36]}, {\"cell\": \"63\", \"bbox\": [377, 27, 386, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 27, 421, 36]}, {\"cell\": \"ND\", \"bbox\": [49, 35, 62, 44]}, {\"cell\": \"F\", \"bbox\": [125, 35, 130, 44]}, {\"cell\": \"63\", \"bbox\": [160, 35, 168, 44]}, {\"cell\": \"C\", \"bbox\": [197, 35, 204, 44]}, {\"cell\": \"ND\", \"bbox\": [266, 35, 279, 44]}, {\"cell\": \"F\", \"bbox\": [342, 35, 348, 44]}, {\"cell\": \"58\", \"bbox\": [377, 35, 386, 44]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 35, 421, 44]}, {\"cell\": \"ND\", \"bbox\": [49, 44, 62, 53]}, {\"cell\": \"F\", \"bbox\": [125, 44, 130, 53]}, {\"cell\": \"40\", \"bbox\": [160, 44, 168, 53]}, {\"cell\": \"C\", \"bbox\": [197, 44, 204, 53]}, {\"cell\": \"ND\", \"bbox\": [266, 44, 279, 53]}, {\"cell\": \"F\", \"bbox\": [342, 44, 348, 53]}, {\"cell\": \"55\", \"bbox\": [377, 44, 386, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 44, 421, 53]}, {\"cell\": \"ND\", \"bbox\": [49, 52, 62, 61]}, {\"cell\": \"F\", \"bbox\": [125, 52, 130, 61]}, {\"cell\": \"85\", \"bbox\": [160, 52, 168, 61]}, {\"cell\": \"C\", \"bbox\": [197, 52, 204, 61]}, {\"cell\": \"ND\", \"bbox\": [266, 52, 279, 61]}, {\"cell\": \"F\", \"bbox\": [342, 52, 348, 61]}, {\"cell\": \"62\", \"bbox\": [377, 52, 386, 61]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 52, 421, 61]}, {\"cell\": \"ND\", \"bbox\": [49, 61, 62, 69]}, {\"cell\": \"F\", \"bbox\": [125, 61, 130, 69]}, {\"cell\": \"55\", \"bbox\": [160, 61, 168, 69]}, {\"cell\": \"C\", \"bbox\": [197, 61, 204, 69]}, {\"cell\": \"ND\", \"bbox\": [266, 61, 279, 69]}, {\"cell\": \"F\", \"bbox\": [342, 61, 348, 69]}, {\"cell\": \"48\", \"bbox\": [377, 61, 386, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 61, 421, 69]}, {\"cell\": \"ND\", \"bbox\": [49, 69, 62, 78]}, {\"cell\": \"F\", \"bbox\": [125, 69, 130, 78]}, {\"cell\": \"33\", \"bbox\": [160, 69, 168, 78]}, {\"cell\": \"C\", \"bbox\": [197, 69, 204, 78]}, {\"cell\": \"ND\", \"bbox\": [266, 69, 279, 78]}, {\"cell\": \"F\", \"bbox\": [342, 69, 348, 78]}, {\"cell\": \"20\", \"bbox\": [377, 69, 386, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 69, 421, 78]}, {\"cell\": \"ND\", \"bbox\": [49, 77, 62, 86]}, {\"cell\": \"F\", \"bbox\": [125, 77, 130, 86]}, {\"cell\": \"37\", \"bbox\": [160, 77, 168, 86]}, {\"cell\": \"C\", \"bbox\": [197, 77, 204, 86]}, {\"cell\": \"ND\", \"bbox\": [266, 77, 279, 86]}, {\"cell\": \"F\", \"bbox\": [342, 77, 348, 86]}, {\"cell\": \"24\", \"bbox\": [377, 77, 386, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 77, 421, 86]}, {\"cell\": \"ND\", \"bbox\": [49, 86, 62, 94]}, {\"cell\": \"F\", \"bbox\": [125, 86, 130, 94]}, {\"cell\": \"75\", \"bbox\": [160, 86, 168, 94]}, {\"cell\": \"C\", \"bbox\": [197, 86, 204, 94]}, {\"cell\": \"ND\", \"bbox\": [266, 86, 279, 94]}, {\"cell\": \"F\", \"bbox\": [342, 86, 348, 94]}, {\"cell\": \"33\", \"bbox\": [377, 86, 386, 94]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 86, 421, 94]}, {\"cell\": \"ND\", \"bbox\": [49, 94, 62, 103]}, {\"cell\": \"F\", \"bbox\": [125, 94, 130, 103]}, {\"cell\": \"60\", \"bbox\": [160, 94, 168, 103]}, {\"cell\": \"C\", \"bbox\": [197, 94, 204, 103]}, {\"cell\": \"ND\", \"bbox\": [266, 94, 279, 103]}, {\"cell\": \"F\", \"bbox\": [342, 94, 348, 103]}, {\"cell\": \"43\", \"bbox\": [377, 94, 386, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 94, 421, 103]}, {\"cell\": \"ND\", \"bbox\": [49, 102, 62, 111]}, {\"cell\": \"F\", \"bbox\": [125, 102, 130, 111]}, {\"cell\": \"40\", \"bbox\": [160, 102, 168, 111]}, {\"cell\": \"C\", \"bbox\": [197, 102, 204, 111]}, {\"cell\": \"ND\", \"bbox\": [266, 102, 279, 111]}, {\"cell\": \"F\", \"bbox\": [342, 102, 348, 111]}, {\"cell\": \"47\", \"bbox\": [377, 102, 386, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 102, 421, 111]}, {\"cell\": \"ND\", \"bbox\": [49, 111, 62, 120]}, {\"cell\": \"F\", \"bbox\": [125, 111, 130, 120]}, {\"cell\": \"58\", \"bbox\": [160, 111, 168, 120]}, {\"cell\": \"C\", \"bbox\": [197, 111, 204, 120]}, {\"cell\": \"ND\", \"bbox\": [266, 111, 279, 120]}, {\"cell\": \"F\", \"bbox\": [342, 111, 348, 120]}, {\"cell\": \"51\", \"bbox\": [377, 111, 386, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 111, 421, 120]}, {\"cell\": \"ND\", \"bbox\": [49, 119, 62, 128]}, {\"cell\": \"F\", \"bbox\": [125, 119, 130, 128]}, {\"cell\": \"28\", \"bbox\": [160, 119, 168, 128]}, {\"cell\": \"C\", \"bbox\": [197, 119, 204, 128]}, {\"cell\": \"ND\", \"bbox\": [266, 119, 279, 128]}, {\"cell\": \"F\", \"bbox\": [342, 119, 348, 128]}, {\"cell\": \"72\", \"bbox\": [377, 119, 386, 128]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 119, 421, 128]}, {\"cell\": \"ND\", \"bbox\": [49, 127, 62, 136]}, {\"cell\": \"F\", \"bbox\": [125, 127, 130, 136]}, {\"cell\": \"35\", \"bbox\": [160, 127, 168, 136]}, {\"cell\": \"C\", \"bbox\": [197, 127, 204, 136]}, {\"cell\": \"ND\", \"bbox\": [266, 127, 279, 136]}, {\"cell\": \"F\", \"bbox\": [342, 127, 348, 136]}, {\"cell\": \"34\", \"bbox\": [377, 127, 386, 136]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 127, 421, 136]}, {\"cell\": \"ND\", \"bbox\": [49, 136, 62, 145]}, {\"cell\": \"F\", \"bbox\": [125, 136, 130, 145]}, {\"cell\": \"61\", \"bbox\": [160, 136, 168, 145]}, {\"cell\": \"C\", \"bbox\": [197, 136, 204, 145]}, {\"cell\": \"ND\", \"bbox\": [266, 136, 279, 145]}, {\"cell\": \"F\", \"bbox\": [342, 136, 348, 145]}, {\"cell\": \"44\", \"bbox\": [377, 136, 386, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 136, 421, 145]}, {\"cell\": \"ND\", \"bbox\": [49, 144, 62, 153]}, {\"cell\": \"M\", \"bbox\": [123, 144, 132, 153]}, {\"cell\": \"48\", \"bbox\": [160, 144, 168, 153]}, {\"cell\": \"C\", \"bbox\": [197, 144, 204, 153]}, {\"cell\": \"0.021\", \"bbox\": [264, 144, 281, 153]}, {\"cell\": \"F\", \"bbox\": [342, 144, 348, 153]}, {\"cell\": \"26\", \"bbox\": [377, 144, 386, 153]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 144, 421, 153]}, {\"cell\": \"ND\", \"bbox\": [49, 153, 62, 161]}, {\"cell\": \"F\", \"bbox\": [125, 153, 130, 161]}, {\"cell\": \"25\", \"bbox\": [160, 153, 168, 161]}, {\"cell\": \"C\", \"bbox\": [197, 153, 204, 161]}, {\"cell\": \"0.025\", \"bbox\": [264, 153, 281, 161]}, {\"cell\": \"M\", \"bbox\": [341, 153, 349, 161]}, {\"cell\": \"23\", \"bbox\": [377, 153, 386, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 153, 421, 161]}, {\"cell\": \"ND\", \"bbox\": [49, 161, 62, 170]}, {\"cell\": \"F\", \"bbox\": [125, 161, 130, 170]}, {\"cell\": \"33\", \"bbox\": [160, 161, 168, 170]}, {\"cell\": \"C\", \"bbox\": [197, 161, 204, 170]}, {\"cell\": \"0.028\", \"bbox\": [264, 161, 281, 170]}, {\"cell\": \"F\", \"bbox\": [342, 161, 348, 170]}, {\"cell\": \"83\", \"bbox\": [377, 161, 386, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 161, 421, 170]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 169, 66, 178]}, {\"cell\": \"F\", \"bbox\": [125, 169, 130, 178]}, {\"cell\": \"25\", \"bbox\": [160, 169, 168, 178]}, {\"cell\": \"C\", \"bbox\": [197, 169, 204, 178]}, {\"cell\": \"0.032\", \"bbox\": [264, 169, 281, 178]}, {\"cell\": \"M\", \"bbox\": [341, 169, 349, 178]}, {\"cell\": \"25\", \"bbox\": [377, 169, 386, 178]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 169, 421, 178]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 178, 66, 187]}, {\"cell\": \"F\", \"bbox\": [125, 178, 130, 187]}, {\"cell\": \"50\", \"bbox\": [160, 178, 168, 187]}, {\"cell\": \"C\", \"bbox\": [197, 178, 204, 187]}, {\"cell\": \"0.033\", \"bbox\": [264, 178, 281, 187]}, {\"cell\": \"F\", \"bbox\": [342, 178, 348, 187]}, {\"cell\": \"45\", \"bbox\": [377, 178, 386, 187]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 178, 421, 187]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 186, 66, 195]}, {\"cell\": \"F\", \"bbox\": [125, 186, 130, 195]}, {\"cell\": \"44\", \"bbox\": [160, 186, 168, 195]}, {\"cell\": \"C\", \"bbox\": [197, 186, 204, 195]}, {\"cell\": \"0.035\", \"bbox\": [264, 186, 281, 195]}, {\"cell\": \"F\", \"bbox\": [342, 186, 348, 195]}, {\"cell\": \"12\", \"bbox\": [377, 186, 386, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 186, 421, 195]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 194, 66, 203]}, {\"cell\": \"F\", \"bbox\": [125, 194, 130, 203]}, {\"cell\": \"50\", \"bbox\": [160, 194, 168, 203]}, {\"cell\": \"C\", \"bbox\": [197, 194, 204, 203]}, {\"cell\": \"0.045\", \"bbox\": [264, 194, 281, 203]}, {\"cell\": \"F\", \"bbox\": [342, 194, 348, 203]}, {\"cell\": \"26\", \"bbox\": [377, 194, 386, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 194, 421, 203]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 203, 66, 212]}, {\"cell\": \"F\", \"bbox\": [125, 203, 130, 212]}, {\"cell\": \"45\", \"bbox\": [160, 203, 168, 212]}, {\"cell\": \"C\", \"bbox\": [197, 203, 204, 212]}, {\"cell\": \"0.051\", \"bbox\": [264, 203, 281, 212]}, {\"cell\": \"F\", \"bbox\": [342, 203, 348, 212]}, {\"cell\": \"54\", \"bbox\": [377, 203, 386, 212]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 203, 421, 212]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 211, 66, 220]}, {\"cell\": \"F\", \"bbox\": [125, 211, 130, 220]}, {\"cell\": \"26\", \"bbox\": [160, 211, 168, 220]}, {\"cell\": \"C\", \"bbox\": [197, 211, 204, 220]}, {\"cell\": \"0.064\", \"bbox\": [264, 211, 281, 220]}, {\"cell\": \"F\", \"bbox\": [342, 211, 348, 220]}, {\"cell\": \"21\", \"bbox\": [377, 211, 386, 220]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 211, 421, 220]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 219, 66, 228]}, {\"cell\": \"F\", \"bbox\": [125, 219, 130, 228]}, {\"cell\": \"34\", \"bbox\": [160, 219, 168, 228]}, {\"cell\": \"C\", \"bbox\": [197, 219, 204, 228]}, {\"cell\": \"0.077\", \"bbox\": [264, 219, 281, 228]}, {\"cell\": \"F\", \"bbox\": [342, 219, 348, 228]}, {\"cell\": \"49\", \"bbox\": [377, 219, 386, 228]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 219, 421, 228]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 228, 66, 237]}, {\"cell\": \"F\", \"bbox\": [125, 228, 130, 237]}, {\"cell\": \"31\", \"bbox\": [160, 228, 168, 237]}, {\"cell\": \"C\", \"bbox\": [197, 228, 204, 237]}, {\"cell\": \"0.080\", \"bbox\": [264, 228, 281, 237]}, {\"cell\": \"M\", \"bbox\": [341, 228, 349, 237]}, {\"cell\": \"58\", \"bbox\": [377, 228, 386, 237]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 228, 421, 237]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 236, 66, 245]}, {\"cell\": \"F\", \"bbox\": [125, 236, 130, 245]}, {\"cell\": \"32\", \"bbox\": [160, 236, 168, 245]}, {\"cell\": \"C\", \"bbox\": [197, 236, 204, 245]}, {\"cell\": \"0.081\", \"bbox\": [264, 236, 281, 245]}, {\"cell\": \"F\", \"bbox\": [342, 236, 348, 245]}, {\"cell\": \"52\", \"bbox\": [377, 236, 386, 245]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 236, 421, 245]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 245, 66, 253]}, {\"cell\": \"F\", \"bbox\": [125, 245, 130, 253]}, {\"cell\": \"45\", \"bbox\": [160, 245, 168, 253]}, {\"cell\": \"C\", \"bbox\": [197, 245, 204, 253]}, {\"cell\": \"0.084\", \"bbox\": [264, 245, 281, 253]}, {\"cell\": \"F\", \"bbox\": [342, 245, 348, 253]}, {\"cell\": \"73\", \"bbox\": [377, 245, 386, 253]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 245, 421, 253]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 253, 66, 262]}, {\"cell\": \"F\", \"bbox\": [125, 253, 130, 262]}, {\"cell\": \"35\", \"bbox\": [160, 253, 168, 262]}, {\"cell\": \"C\", \"bbox\": [197, 253, 204, 262]}, {\"cell\": \"0.088\", \"bbox\": [264, 253, 281, 262]}, {\"cell\": \"F\", \"bbox\": [342, 253, 348, 262]}, {\"cell\": \"62\", \"bbox\": [377, 253, 386, 262]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 253, 421, 262]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 261, 66, 270]}, {\"cell\": \"F\", \"bbox\": [125, 261, 130, 270]}, {\"cell\": \"45\", \"bbox\": [160, 261, 168, 270]}, {\"cell\": \"C\", \"bbox\": [197, 261, 204, 270]}, {\"cell\": \"0.092\", \"bbox\": [264, 261, 281, 270]}, {\"cell\": \"F\", \"bbox\": [342, 261, 348, 270]}, {\"cell\": \"77\", \"bbox\": [377, 261, 386, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 261, 421, 270]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 270, 66, 279]}, {\"cell\": \"F\", \"bbox\": [125, 270, 130, 279]}, {\"cell\": \"63\", \"bbox\": [160, 270, 168, 279]}, {\"cell\": \"C\", \"bbox\": [197, 270, 204, 279]}, {\"cell\": \"0.098\", \"bbox\": [264, 270, 281, 279]}, {\"cell\": \"M\", \"bbox\": [341, 270, 349, 279]}, {\"cell\": \"3\", \"bbox\": [379, 270, 384, 279]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 270, 421, 279]}, {\"cell\": \"<LOQ\", \"bbox\": [45, 278, 66, 287]}, {\"cell\": \"M\", \"bbox\": [123, 278, 132, 287]}, {\"cell\": \"26\", \"bbox\": [160, 278, 168, 287]}, {\"cell\": \"C\", \"bbox\": [197, 278, 204, 287]}, {\"cell\": \"0.107\", \"bbox\": [264, 278, 281, 287]}, {\"cell\": \"F\", \"bbox\": [342, 278, 348, 287]}, {\"cell\": \"22\", \"bbox\": [377, 278, 386, 287]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 278, 421, 287]}, {\"cell\": \"0.006\", \"bbox\": [47, 286, 64, 295]}, {\"cell\": \"F\", \"bbox\": [125, 286, 130, 295]}, {\"cell\": \"48\", \"bbox\": [160, 286, 168, 295]}, {\"cell\": \"C\", \"bbox\": [197, 286, 204, 295]}, {\"cell\": \"0.112\", \"bbox\": [264, 286, 281, 295]}, {\"cell\": \"F\", \"bbox\": [342, 286, 348, 295]}, {\"cell\": \"31\", \"bbox\": [377, 286, 386, 295]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 286, 421, 295]}, {\"cell\": \"0.007\", \"bbox\": [47, 295, 64, 304]}, {\"cell\": \"M\", \"bbox\": [123, 295, 132, 304]}, {\"cell\": \"79\", \"bbox\": [160, 295, 168, 304]}, {\"cell\": \"C\", \"bbox\": [197, 295, 204, 304]}, {\"cell\": \"0.112\", \"bbox\": [264, 295, 281, 304]}, {\"cell\": \"F\", \"bbox\": [342, 295, 348, 304]}, {\"cell\": \"21\", \"bbox\": [377, 295, 386, 304]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 295, 421, 304]}, {\"cell\": \"0.008\", \"bbox\": [47, 303, 64, 312]}, {\"cell\": \"F\", \"bbox\": [125, 303, 130, 312]}, {\"cell\": \"34\", \"bbox\": [160, 303, 168, 312]}, {\"cell\": \"C\", \"bbox\": [197, 303, 204, 312]}, {\"cell\": \"0.128\", \"bbox\": [264, 303, 281, 312]}, {\"cell\": \"F\", \"bbox\": [342, 303, 348, 312]}, {\"cell\": \"27\", \"bbox\": [377, 303, 386, 312]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 303, 421, 312]}, {\"cell\": \"0.009\", \"bbox\": [47, 311, 64, 320]}, {\"cell\": \"F\", \"bbox\": [125, 311, 130, 320]}, {\"cell\": \"27\", \"bbox\": [160, 311, 168, 320]}, {\"cell\": \"C\", \"bbox\": [197, 311, 204, 320]}, {\"cell\": \"0.149\", \"bbox\": [264, 311, 281, 320]}, {\"cell\": \"F\", \"bbox\": [342, 311, 348, 320]}, {\"cell\": \"63\", \"bbox\": [377, 311, 386, 320]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 311, 421, 320]}, {\"cell\": \"0.012\", \"bbox\": [47, 320, 64, 329]}, {\"cell\": \"M\", \"bbox\": [123, 320, 132, 329]}, {\"cell\": \"50\", \"bbox\": [160, 320, 168, 329]}, {\"cell\": \"C\", \"bbox\": [197, 320, 204, 329]}, {\"cell\": \"0.226\", \"bbox\": [264, 320, 281, 329]}, {\"cell\": \"F\", \"bbox\": [342, 320, 348, 329]}, {\"cell\": \"54\", \"bbox\": [377, 320, 386, 329]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 320, 421, 329]}, {\"cell\": \"0.014\", \"bbox\": [47, 328, 64, 337]}, {\"cell\": \"F\", \"bbox\": [125, 328, 130, 337]}, {\"cell\": \"50\", \"bbox\": [160, 328, 168, 337]}, {\"cell\": \"C\", \"bbox\": [197, 328, 204, 337]}, {\"cell\": \"0.240\", \"bbox\": [264, 328, 281, 337]}, {\"cell\": \"F\", \"bbox\": [342, 328, 348, 337]}, {\"cell\": \"69\", \"bbox\": [377, 328, 386, 337]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 328, 421, 337]}, {\"cell\": \"0.015\", \"bbox\": [47, 337, 64, 345]}, {\"cell\": \"M\", \"bbox\": [123, 337, 132, 345]}, {\"cell\": \"18\", \"bbox\": [160, 337, 168, 345]}, {\"cell\": \"C\", \"bbox\": [197, 337, 204, 345]}, {\"cell\": \"0.695\", \"bbox\": [264, 337, 281, 345]}, {\"cell\": \"F\", \"bbox\": [342, 337, 348, 345]}, {\"cell\": \"36\", \"bbox\": [377, 337, 386, 345]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 337, 421, 345]}, {\"cell\": \"0.016\", \"bbox\": [47, 345, 64, 354]}, {\"cell\": \"F\", \"bbox\": [125, 345, 130, 354]}, {\"cell\": \"26\", \"bbox\": [160, 345, 168, 354]}, {\"cell\": \"C\", \"bbox\": [197, 345, 204, 354]}, {\"cell\": \"0.723\", \"bbox\": [264, 345, 281, 354]}, {\"cell\": \"F\", \"bbox\": [342, 345, 348, 354]}, {\"cell\": \"24\", \"bbox\": [377, 345, 386, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 345, 421, 354]}, {\"cell\": \"0.016\", \"bbox\": [47, 353, 64, 362]}, {\"cell\": \"F\", \"bbox\": [125, 353, 130, 362]}, {\"cell\": \"43\", \"bbox\": [160, 353, 168, 362]}, {\"cell\": \"C\", \"bbox\": [197, 353, 204, 362]}, {\"cell\": \"0.741\", \"bbox\": [264, 353, 281, 362]}, {\"cell\": \"F\", \"bbox\": [342, 353, 348, 362]}, {\"cell\": \"43\", \"bbox\": [377, 353, 386, 362]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 353, 421, 362]}, {\"cell\": \"0.016\", \"bbox\": [47, 362, 64, 371]}, {\"cell\": \"F\", \"bbox\": [125, 362, 130, 371]}, {\"cell\": \"52\", \"bbox\": [160, 362, 168, 371]}, {\"cell\": \"C\", \"bbox\": [197, 362, 204, 371]}, {\"cell\": \"1.164\", \"bbox\": [264, 362, 281, 371]}, {\"cell\": \"M\", \"bbox\": [341, 362, 349, 371]}, {\"cell\": \"67\", \"bbox\": [377, 362, 386, 371]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 362, 421, 371]}, {\"cell\": \"0.018\", \"bbox\": [47, 370, 64, 379]}, {\"cell\": \"F\", \"bbox\": [125, 370, 130, 379]}, {\"cell\": \"61\", \"bbox\": [160, 370, 168, 379]}, {\"cell\": \"C\", \"bbox\": [197, 370, 204, 379]}, {\"cell\": \"1.652\", \"bbox\": [264, 370, 281, 379]}, {\"cell\": \"F\", \"bbox\": [342, 370, 348, 379]}, {\"cell\": \"35\", \"bbox\": [377, 370, 386, 379]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 370, 421, 379]}, {\"cell\": \"0.021\", \"bbox\": [47, 378, 64, 387]}, {\"cell\": \"F\", \"bbox\": [125, 378, 130, 387]}, {\"cell\": \"47\", \"bbox\": [160, 378, 168, 387]}, {\"cell\": \"C\", \"bbox\": [197, 378, 204, 387]}, {\"cell\": \"9.636\", \"bbox\": [264, 378, 281, 387]}, {\"cell\": \"F\", \"bbox\": [342, 378, 348, 387]}, {\"cell\": \"54\", \"bbox\": [377, 378, 386, 387]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [414, 378, 421, 387]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC5793101_003_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}978{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Bivariate analyses Standardized Beta (P value)</b></td><td><b>Multiple linear regression Standardized Beta (95% CI)</b></td></tr></thead><tbody><tr><td><b>Predisposing factors</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Gender (male = 1)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Marital status</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><b>Enabling factors</b></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Territory (urban vs semi-urban/rural)</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Amount of help from services for information and utility needs</td><td>[EMPTY_CELL]</td><td>0.186 (0.068; 0.794)</td></tr><tr><td> Duration of follow-up by GP</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Duration of follow-up by case manager</td><td>[EMPTY_CELL]</td><td>0.356 (0.160; 0.684)</td></tr><tr><td> Satisfaction with regard to diversified service accessibility</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> Satisfaction with ease of accessing psychiatrist</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>F = 7,270;P = 0,001R2 = 17,6%</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Bivariate analyses Standardized Beta (P value)</b>\", \"bbox\": [180, 3, 313, 23]}, {\"cell\": \"<b>Multiple linear regression Standardized Beta (95% CI)</b>\", \"bbox\": [329, 3, 472, 23]}, {\"cell\": \"<b>Predisposing factors</b>\", \"bbox\": [5, 39, 80, 49]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Gender (male = 1)\", \"bbox\": [20, 53, 81, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 53, 269, 63]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Marital status\", \"bbox\": [20, 67, 66, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 67, 269, 77]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Enabling factors</b>\", \"bbox\": [5, 81, 64, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Territory (urban vs semi-urban/rural)\", \"bbox\": [20, 107, 143, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [223, 107, 270, 117]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Amount of help from services for information and utility needs\", \"bbox\": [20, 121, 170, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 121, 269, 131]}, {\"cell\": \"0.186 (0.068; 0.794)\", \"bbox\": [368, 121, 434, 131]}, {\"cell\": \" Duration of follow-up by GP\", \"bbox\": [20, 145, 114, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 145, 269, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Duration of follow-up by case manager\", \"bbox\": [20, 159, 151, 169]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [221, 159, 272, 169]}, {\"cell\": \"0.356 (0.160; 0.684)\", \"bbox\": [368, 159, 433, 169]}, {\"cell\": \" Satisfaction with regard to diversified service accessibility\", \"bbox\": [20, 173, 170, 193]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 173, 269, 183]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" Satisfaction with ease of accessing psychiatrist\", \"bbox\": [20, 197, 136, 217]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [224, 197, 269, 207]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"F = 7,270;P = 0,001R2 = 17,6%\", \"bbox\": [381, 233, 420, 263]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC2896947_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}979{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Planting</b></td><td><b>RT</b></td><td><b>SR</b></td><td><b>Protein</b></td><td><b>Oil</b></td><td><b>Oleic</b></td><td><b>Linolenic</b></td><td><b>Suc</b></td><td><b>Stac</b></td><td><b>Glu</b></td><td><b>B</b></td><td><b>P</b></td><td><b>Fe</b></td></tr></thead><tbody><tr><td>April</td><td>[EMPTY_CELL]</td><td>20</td><td>420</td><td>242</td><td>231</td><td>67.6</td><td>[EMPTY_CELL]</td><td>26.7</td><td>2.8</td><td>38.3</td><td>4.5</td><td>66.0</td></tr><tr><td>[EMPTY_CELL]</td><td>S</td><td>30</td><td>413</td><td>242</td><td>237</td><td>66.4</td><td>[EMPTY_CELL]</td><td>26.3</td><td>2.8</td><td>44.7</td><td>4.5</td><td>66.0</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>40</td><td>419</td><td>237</td><td>246</td><td>56.7</td><td>[EMPTY_CELL]</td><td>29.4</td><td>2.6</td><td>43.8</td><td>5.6</td><td>65.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>50</td><td>417</td><td>242</td><td>256</td><td>56.3</td><td>[EMPTY_CELL]</td><td>26.3</td><td>2.8</td><td>36.4</td><td>4.5</td><td>63.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>LSD</td><td>1.90</td><td>2.10</td><td>4.20</td><td>2.90</td><td>[EMPTY_CELL]</td><td>0.70</td><td>0.20</td><td>3.70</td><td>0.07</td><td>1.30</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>20</td><td>409</td><td>245</td><td>246</td><td>60.0</td><td>[EMPTY_CELL]</td><td>28.3</td><td>4.1</td><td>41.1</td><td>4.6</td><td>57.0</td></tr><tr><td>[EMPTY_CELL]</td><td>T</td><td>30</td><td>408</td><td>243</td><td>281</td><td>61.3</td><td>[EMPTY_CELL]</td><td>27.2</td><td>4.1</td><td>47.2</td><td>5.6</td><td>66.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>40</td><td>408</td><td>244</td><td>275</td><td>61.5</td><td>[EMPTY_CELL]</td><td>26.8</td><td>4.1</td><td>48.2</td><td>5.6</td><td>73.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>50</td><td>410</td><td>241</td><td>266</td><td>61.5</td><td>[EMPTY_CELL]</td><td>28.0</td><td>4.0</td><td>48.5</td><td>4.3</td><td>61.0</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>LSD</td><td>3.50</td><td>2.70</td><td>5.00</td><td>2.30</td><td>[EMPTY_CELL]</td><td>1.10</td><td>0.21</td><td>1.30</td><td>0.08</td><td>1.40</td></tr><tr><td>May</td><td>[EMPTY_CELL]</td><td>20</td><td>449</td><td>217</td><td>222</td><td>75.4</td><td>[EMPTY_CELL]</td><td>23.5</td><td>2.9</td><td>29.1</td><td>3.5</td><td>64.0</td></tr><tr><td>[EMPTY_CELL]</td><td>S</td><td>30</td><td>454</td><td>215</td><td>223</td><td>80.3</td><td>[EMPTY_CELL]</td><td>22.1</td><td>3.1</td><td>30.0</td><td>3.4</td><td>62.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>40</td><td>460</td><td>209</td><td>218</td><td>74.2</td><td>[EMPTY_CELL]</td><td>23.7</td><td>2.8</td><td>34.6</td><td>4.4</td><td>63.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>50</td><td>458</td><td>203</td><td>220</td><td>77.8</td><td>[EMPTY_CELL]</td><td>25.1</td><td>2.6</td><td>32.0</td><td>4.6</td><td>60.0</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>LSD</td><td>2.30</td><td>2.00</td><td>3.30</td><td>3.50</td><td>[EMPTY_CELL]</td><td>1.00</td><td>0.16</td><td>1.90</td><td>0.09</td><td>1.90</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>20</td><td>458</td><td>203</td><td>224</td><td>75.9</td><td>[EMPTY_CELL]</td><td>24.2</td><td>4.1</td><td>28.9</td><td>4.4</td><td>53.0</td></tr><tr><td>[EMPTY_CELL]</td><td>T</td><td>30</td><td>452</td><td>206</td><td>245</td><td>88.5</td><td>[EMPTY_CELL]</td><td>23.7</td><td>4.0</td><td>29.5</td><td>5.3</td><td>64.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>40</td><td>447</td><td>201</td><td>230</td><td>73.9</td><td>[EMPTY_CELL]</td><td>21.8</td><td>4.3</td><td>38.9</td><td>4.6</td><td>64.0</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>50</td><td>452</td><td>201</td><td>211</td><td>71.8</td><td>[EMPTY_CELL]</td><td>25.4</td><td>4.2</td><td>38.4</td><td>4.3</td><td>54.0</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>LSD</td><td>4.40</td><td>2.90</td><td>4.70</td><td>2.90</td><td>[EMPTY_CELL]</td><td>1.20</td><td>0.19</td><td>4.50</td><td>0.18</td><td>1.20</td></tr><tr><td>June</td><td>[EMPTY_CELL]</td><td>20</td><td>439</td><td>223</td><td>204</td><td>72.7</td><td>[EMPTY_CELL]</td><td>24.2</td><td>2.7</td><td>26.6</td><td>3.4</td><td>52.5</td></tr><tr><td>[EMPTY_CELL]</td><td>S</td><td>30</td><td>449</td><td>223</td><td>207</td><td>76.3</td><td>[EMPTY_CELL]</td><td>24.7</td><td>2.9</td><td>34.1</td><td>3.5</td><td>55.5</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>40</td><td>441</td><td>223</td><td>207</td><td>81.6</td><td>[EMPTY_CELL]</td><td>23.4</td><td>3.2</td><td>31.4</td><td>4.3</td><td>53.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>50</td><td>446</td><td>227</td><td>211</td><td>78.8</td><td>[EMPTY_CELL]</td><td>26.5</td><td>2.7</td><td>30.5</td><td>4.6</td><td>58.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>LSD</td><td>2.40</td><td>2.90</td><td>3.90</td><td>3.60</td><td>[EMPTY_CELL]</td><td>1.10</td><td>0.16</td><td>1.30</td><td>0.15</td><td>1.70</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>20</td><td>419</td><td>217</td><td>220</td><td>90.6</td><td>[EMPTY_CELL]</td><td>24.5</td><td>4.0</td><td>28.8</td><td>3.7</td><td>45.8</td></tr><tr><td>[EMPTY_CELL]</td><td>T</td><td>30</td><td>434</td><td>220</td><td>201</td><td>79.9</td><td>[EMPTY_CELL]</td><td>26.4</td><td>4.1</td><td>37.8</td><td>3.5</td><td>57.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>40</td><td>433</td><td>217</td><td>205</td><td>82.2</td><td>[EMPTY_CELL]</td><td>23.8</td><td>4.1</td><td>38.5</td><td>3.7</td><td>63.3</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>50</td><td>422</td><td>224</td><td>209</td><td>83.7</td><td>[EMPTY_CELL]</td><td>27.3</td><td>4.1</td><td>39.2</td><td>3.7</td><td>57.8</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>LSD</td><td>4.10</td><td>2.60</td><td>7.70</td><td>3.40</td><td>[EMPTY_CELL]</td><td>1.20</td><td>0.20</td><td>1.50</td><td>0.09</td><td>2.70</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Planting</b>\", \"bbox\": [1, 8, 32, 17]}, {\"cell\": \"<b>RT</b>\", \"bbox\": [53, 8, 64, 17]}, {\"cell\": \"<b>SR</b>\", \"bbox\": [85, 8, 97, 17]}, {\"cell\": \"<b>Protein</b>\", \"bbox\": [118, 8, 145, 17]}, {\"cell\": \"<b>Oil</b>\", \"bbox\": [166, 8, 178, 17]}, {\"cell\": \"<b>Oleic</b>\", \"bbox\": [200, 8, 220, 17]}, {\"cell\": \"<b>Linolenic</b>\", \"bbox\": [235, 8, 269, 17]}, {\"cell\": \"<b>Suc</b>\", \"bbox\": [290, 8, 305, 17]}, {\"cell\": \"<b>Stac</b>\", \"bbox\": [327, 8, 345, 17]}, {\"cell\": \"<b>Glu</b>\", \"bbox\": [365, 8, 380, 17]}, {\"cell\": \"<b>B</b>\", \"bbox\": [408, 8, 415, 17]}, {\"cell\": \"<b>P</b>\", \"bbox\": [445, 8, 452, 17]}, {\"cell\": \"<b>Fe</b>\", \"bbox\": [481, 8, 491, 17]}, {\"cell\": \"April\", \"bbox\": [1, 29, 17, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [85, 29, 95, 38]}, {\"cell\": \"420\", \"bbox\": [122, 29, 136, 38]}, {\"cell\": \"242\", \"bbox\": [166, 29, 180, 38]}, {\"cell\": \"231\", \"bbox\": [203, 29, 218, 38]}, {\"cell\": \"67.6\", \"bbox\": [241, 29, 256, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 29, 306, 38]}, {\"cell\": \"26.7\", \"bbox\": [327, 29, 343, 38]}, {\"cell\": \"2.8\", \"bbox\": [365, 29, 378, 38]}, {\"cell\": \"38.3\", \"bbox\": [403, 29, 419, 38]}, {\"cell\": \"4.5\", \"bbox\": [440, 29, 452, 38]}, {\"cell\": \"66.0\", \"bbox\": [477, 29, 494, 38]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"S\", \"bbox\": [53, 42, 59, 51]}, {\"cell\": \"30\", \"bbox\": [85, 42, 95, 51]}, {\"cell\": \"413\", \"bbox\": [122, 42, 136, 51]}, {\"cell\": \"242\", \"bbox\": [166, 42, 180, 51]}, {\"cell\": \"237\", \"bbox\": [203, 42, 218, 51]}, {\"cell\": \"66.4\", \"bbox\": [241, 42, 257, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 42, 305, 51]}, {\"cell\": \"26.3\", \"bbox\": [327, 42, 343, 51]}, {\"cell\": \"2.8\", \"bbox\": [365, 42, 378, 51]}, {\"cell\": \"44.7\", \"bbox\": [403, 42, 419, 51]}, {\"cell\": \"4.5\", \"bbox\": [440, 42, 452, 51]}, {\"cell\": \"66.0\", \"bbox\": [477, 42, 494, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [85, 56, 95, 65]}, {\"cell\": \"419\", \"bbox\": [122, 56, 136, 65]}, {\"cell\": \"237\", \"bbox\": [166, 56, 180, 65]}, {\"cell\": \"246\", \"bbox\": [203, 56, 218, 65]}, {\"cell\": \"56.7\", \"bbox\": [241, 56, 257, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 56, 305, 65]}, {\"cell\": \"29.4\", \"bbox\": [327, 56, 343, 65]}, {\"cell\": \"2.6\", \"bbox\": [365, 56, 378, 65]}, {\"cell\": \"43.8\", \"bbox\": [403, 56, 419, 65]}, {\"cell\": \"5.6\", \"bbox\": [440, 56, 452, 65]}, {\"cell\": \"65.5\", \"bbox\": [477, 56, 494, 65]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [85, 69, 95, 78]}, {\"cell\": \"417\", \"bbox\": [122, 69, 136, 78]}, {\"cell\": \"242\", \"bbox\": [166, 69, 180, 78]}, {\"cell\": \"256\", \"bbox\": [203, 69, 218, 78]}, {\"cell\": \"56.3\", \"bbox\": [241, 69, 257, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 69, 306, 78]}, {\"cell\": \"26.3\", \"bbox\": [327, 69, 343, 78]}, {\"cell\": \"2.8\", \"bbox\": [365, 69, 378, 78]}, {\"cell\": \"36.4\", \"bbox\": [403, 69, 419, 78]}, {\"cell\": \"4.5\", \"bbox\": [440, 69, 452, 78]}, {\"cell\": \"63.8\", \"bbox\": [477, 69, 494, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LSD\", \"bbox\": [85, 83, 101, 91]}, {\"cell\": \"1.90\", \"bbox\": [122, 83, 137, 91]}, {\"cell\": \"2.10\", \"bbox\": [166, 83, 182, 91]}, {\"cell\": \"4.20\", \"bbox\": [203, 83, 220, 91]}, {\"cell\": \"2.90\", \"bbox\": [241, 83, 257, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 83, 305, 91]}, {\"cell\": \"0.70\", \"bbox\": [327, 83, 343, 91]}, {\"cell\": \"0.20\", \"bbox\": [365, 83, 382, 91]}, {\"cell\": \"3.70\", \"bbox\": [403, 83, 419, 91]}, {\"cell\": \"0.07\", \"bbox\": [440, 83, 457, 91]}, {\"cell\": \"1.30\", \"bbox\": [477, 83, 493, 91]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [85, 96, 95, 105]}, {\"cell\": \"409\", \"bbox\": [122, 96, 136, 105]}, {\"cell\": \"245\", \"bbox\": [166, 96, 180, 105]}, {\"cell\": \"246\", \"bbox\": [203, 96, 218, 105]}, {\"cell\": \"60.0\", \"bbox\": [241, 96, 257, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 96, 306, 105]}, {\"cell\": \"28.3\", \"bbox\": [327, 96, 343, 105]}, {\"cell\": \"4.1\", \"bbox\": [365, 96, 378, 105]}, {\"cell\": \"41.1\", \"bbox\": [403, 96, 418, 105]}, {\"cell\": \"4.6\", \"bbox\": [440, 96, 452, 105]}, {\"cell\": \"57.0\", \"bbox\": [477, 96, 492, 105]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T\", \"bbox\": [52, 109, 58, 118]}, {\"cell\": \"30\", \"bbox\": [85, 109, 95, 118]}, {\"cell\": \"408\", \"bbox\": [122, 109, 136, 118]}, {\"cell\": \"243\", \"bbox\": [166, 109, 180, 118]}, {\"cell\": \"281\", \"bbox\": [203, 109, 218, 118]}, {\"cell\": \"61.3\", \"bbox\": [241, 109, 256, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 109, 305, 118]}, {\"cell\": \"27.2\", \"bbox\": [327, 109, 342, 118]}, {\"cell\": \"4.1\", \"bbox\": [365, 109, 378, 118]}, {\"cell\": \"47.2\", \"bbox\": [403, 109, 418, 118]}, {\"cell\": \"5.6\", \"bbox\": [440, 109, 452, 118]}, {\"cell\": \"66.8\", \"bbox\": [477, 109, 494, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [85, 123, 95, 132]}, {\"cell\": \"408\", \"bbox\": [122, 123, 136, 132]}, {\"cell\": \"244\", \"bbox\": [166, 123, 180, 132]}, {\"cell\": \"275\", \"bbox\": [203, 123, 218, 132]}, {\"cell\": \"61.5\", \"bbox\": [241, 123, 256, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 123, 306, 132]}, {\"cell\": \"26.8\", \"bbox\": [327, 123, 343, 132]}, {\"cell\": \"4.1\", \"bbox\": [365, 123, 378, 132]}, {\"cell\": \"48.2\", \"bbox\": [403, 123, 419, 132]}, {\"cell\": \"5.6\", \"bbox\": [440, 123, 452, 132]}, {\"cell\": \"73.3\", \"bbox\": [477, 123, 494, 132]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [85, 136, 95, 145]}, {\"cell\": \"410\", \"bbox\": [122, 136, 136, 145]}, {\"cell\": \"241\", \"bbox\": [166, 136, 180, 145]}, {\"cell\": \"266\", \"bbox\": [203, 136, 218, 145]}, {\"cell\": \"61.5\", \"bbox\": [241, 136, 256, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 136, 306, 145]}, {\"cell\": \"28.0\", \"bbox\": [327, 136, 343, 145]}, {\"cell\": \"4.0\", \"bbox\": [365, 136, 378, 145]}, {\"cell\": \"48.5\", \"bbox\": [403, 136, 419, 145]}, {\"cell\": \"4.3\", \"bbox\": [440, 136, 452, 145]}, {\"cell\": \"61.0\", \"bbox\": [477, 136, 493, 145]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LSD\", \"bbox\": [85, 150, 101, 159]}, {\"cell\": \"3.50\", \"bbox\": [122, 150, 138, 159]}, {\"cell\": \"2.70\", \"bbox\": [166, 150, 182, 159]}, {\"cell\": \"5.00\", \"bbox\": [203, 150, 220, 159]}, {\"cell\": \"2.30\", \"bbox\": [241, 150, 257, 159]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 150, 305, 159]}, {\"cell\": \"1.10\", \"bbox\": [327, 150, 342, 159]}, {\"cell\": \"0.21\", \"bbox\": [365, 150, 382, 159]}, {\"cell\": \"1.30\", \"bbox\": [403, 150, 418, 159]}, {\"cell\": \"0.08\", \"bbox\": [440, 150, 457, 159]}, {\"cell\": \"1.40\", \"bbox\": [477, 150, 493, 159]}, {\"cell\": \"May\", \"bbox\": [1, 167, 17, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [85, 167, 95, 176]}, {\"cell\": \"449\", \"bbox\": [122, 167, 136, 176]}, {\"cell\": \"217\", \"bbox\": [166, 167, 180, 176]}, {\"cell\": \"222\", \"bbox\": [203, 167, 218, 176]}, {\"cell\": \"75.4\", \"bbox\": [241, 167, 257, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 167, 306, 176]}, {\"cell\": \"23.5\", \"bbox\": [327, 167, 343, 176]}, {\"cell\": \"2.9\", \"bbox\": [365, 167, 378, 176]}, {\"cell\": \"29.1\", \"bbox\": [403, 167, 419, 176]}, {\"cell\": \"3.5\", \"bbox\": [440, 167, 452, 176]}, {\"cell\": \"64.0\", \"bbox\": [477, 167, 494, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"S\", \"bbox\": [53, 180, 59, 189]}, {\"cell\": \"30\", \"bbox\": [85, 180, 95, 189]}, {\"cell\": \"454\", \"bbox\": [122, 180, 136, 189]}, {\"cell\": \"215\", \"bbox\": [166, 180, 180, 189]}, {\"cell\": \"223\", \"bbox\": [203, 180, 218, 189]}, {\"cell\": \"80.3\", \"bbox\": [241, 180, 257, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 180, 305, 189]}, {\"cell\": \"22.1\", \"bbox\": [327, 180, 343, 189]}, {\"cell\": \"3.1\", \"bbox\": [365, 180, 378, 189]}, {\"cell\": \"30.0\", \"bbox\": [403, 180, 419, 189]}, {\"cell\": \"3.4\", \"bbox\": [440, 180, 452, 189]}, {\"cell\": \"62.5\", \"bbox\": [477, 180, 494, 189]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [85, 194, 95, 203]}, {\"cell\": \"460\", \"bbox\": [122, 194, 136, 203]}, {\"cell\": \"209\", \"bbox\": [166, 194, 180, 203]}, {\"cell\": \"218\", \"bbox\": [203, 194, 217, 203]}, {\"cell\": \"74.2\", \"bbox\": [241, 194, 256, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 194, 306, 203]}, {\"cell\": \"23.7\", \"bbox\": [327, 194, 343, 203]}, {\"cell\": \"2.8\", \"bbox\": [365, 194, 378, 203]}, {\"cell\": \"34.6\", \"bbox\": [403, 194, 419, 203]}, {\"cell\": \"4.4\", \"bbox\": [440, 194, 452, 203]}, {\"cell\": \"63.8\", \"bbox\": [477, 194, 494, 203]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [85, 207, 95, 216]}, {\"cell\": \"458\", \"bbox\": [122, 207, 136, 216]}, {\"cell\": \"203\", \"bbox\": [166, 207, 180, 216]}, {\"cell\": \"220\", \"bbox\": [203, 207, 218, 216]}, {\"cell\": \"77.8\", \"bbox\": [241, 207, 256, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 207, 306, 216]}, {\"cell\": \"25.1\", \"bbox\": [327, 207, 343, 216]}, {\"cell\": \"2.6\", \"bbox\": [365, 207, 378, 216]}, {\"cell\": \"32.0\", \"bbox\": [403, 207, 419, 216]}, {\"cell\": \"4.6\", \"bbox\": [440, 207, 452, 216]}, {\"cell\": \"60.0\", \"bbox\": [477, 207, 494, 216]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LSD\", \"bbox\": [85, 221, 101, 230]}, {\"cell\": \"2.30\", \"bbox\": [122, 221, 138, 230]}, {\"cell\": \"2.00\", \"bbox\": [166, 221, 182, 230]}, {\"cell\": \"3.30\", \"bbox\": [203, 221, 220, 230]}, {\"cell\": \"3.50\", \"bbox\": [241, 221, 257, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 221, 306, 230]}, {\"cell\": \"1.00\", \"bbox\": [327, 221, 343, 230]}, {\"cell\": \"0.16\", \"bbox\": [365, 221, 382, 230]}, {\"cell\": \"1.90\", \"bbox\": [403, 221, 418, 230]}, {\"cell\": \"0.09\", \"bbox\": [440, 221, 457, 230]}, {\"cell\": \"1.90\", \"bbox\": [477, 221, 493, 230]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [85, 234, 95, 243]}, {\"cell\": \"458\", \"bbox\": [122, 234, 136, 243]}, {\"cell\": \"203\", \"bbox\": [166, 234, 180, 243]}, {\"cell\": \"224\", \"bbox\": [203, 234, 218, 243]}, {\"cell\": \"75.9\", \"bbox\": [241, 234, 257, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 234, 306, 243]}, {\"cell\": \"24.2\", \"bbox\": [327, 234, 343, 243]}, {\"cell\": \"4.1\", \"bbox\": [365, 234, 378, 243]}, {\"cell\": \"28.9\", \"bbox\": [403, 234, 419, 243]}, {\"cell\": \"4.4\", \"bbox\": [440, 234, 452, 243]}, {\"cell\": \"53.0\", \"bbox\": [477, 234, 494, 243]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T\", \"bbox\": [52, 248, 58, 256]}, {\"cell\": \"30\", \"bbox\": [85, 248, 95, 256]}, {\"cell\": \"452\", \"bbox\": [122, 248, 136, 256]}, {\"cell\": \"206\", \"bbox\": [166, 248, 180, 256]}, {\"cell\": \"245\", \"bbox\": [203, 248, 218, 256]}, {\"cell\": \"88.5\", \"bbox\": [241, 248, 257, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 248, 305, 256]}, {\"cell\": \"23.7\", \"bbox\": [327, 248, 343, 256]}, {\"cell\": \"4.0\", \"bbox\": [365, 248, 378, 256]}, {\"cell\": \"29.5\", \"bbox\": [403, 248, 419, 256]}, {\"cell\": \"5.3\", \"bbox\": [440, 248, 452, 256]}, {\"cell\": \"64.5\", \"bbox\": [477, 248, 494, 256]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [85, 261, 95, 270]}, {\"cell\": \"447\", \"bbox\": [122, 261, 136, 270]}, {\"cell\": \"201\", \"bbox\": [166, 261, 180, 270]}, {\"cell\": \"230\", \"bbox\": [203, 261, 218, 270]}, {\"cell\": \"73.9\", \"bbox\": [241, 261, 257, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 261, 306, 270]}, {\"cell\": \"21.8\", \"bbox\": [327, 261, 342, 270]}, {\"cell\": \"4.3\", \"bbox\": [365, 261, 378, 270]}, {\"cell\": \"38.9\", \"bbox\": [403, 261, 419, 270]}, {\"cell\": \"4.6\", \"bbox\": [440, 261, 452, 270]}, {\"cell\": \"64.0\", \"bbox\": [477, 261, 494, 270]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [85, 274, 95, 283]}, {\"cell\": \"452\", \"bbox\": [122, 274, 136, 283]}, {\"cell\": \"201\", \"bbox\": [166, 274, 180, 283]}, {\"cell\": \"211\", \"bbox\": [203, 274, 217, 283]}, {\"cell\": \"71.8\", \"bbox\": [241, 274, 256, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 274, 306, 283]}, {\"cell\": \"25.4\", \"bbox\": [327, 274, 343, 283]}, {\"cell\": \"4.2\", \"bbox\": [365, 274, 378, 283]}, {\"cell\": \"38.4\", \"bbox\": [403, 274, 419, 283]}, {\"cell\": \"4.3\", \"bbox\": [440, 274, 452, 283]}, {\"cell\": \"54.0\", \"bbox\": [477, 274, 494, 283]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LSD\", \"bbox\": [85, 288, 101, 297]}, {\"cell\": \"4.40\", \"bbox\": [122, 288, 138, 297]}, {\"cell\": \"2.90\", \"bbox\": [166, 288, 182, 297]}, {\"cell\": \"4.70\", \"bbox\": [203, 288, 220, 297]}, {\"cell\": \"2.90\", \"bbox\": [241, 288, 257, 297]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 288, 306, 297]}, {\"cell\": \"1.20\", \"bbox\": [327, 288, 342, 297]}, {\"cell\": \"0.19\", \"bbox\": [365, 288, 382, 297]}, {\"cell\": \"4.50\", \"bbox\": [403, 288, 419, 297]}, {\"cell\": \"0.18\", \"bbox\": [440, 288, 456, 297]}, {\"cell\": \"1.20\", \"bbox\": [477, 288, 493, 297]}, {\"cell\": \"June\", \"bbox\": [1, 305, 19, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [85, 305, 95, 314]}, {\"cell\": \"439\", \"bbox\": [122, 305, 136, 314]}, {\"cell\": \"223\", \"bbox\": [166, 305, 180, 314]}, {\"cell\": \"204\", \"bbox\": [203, 305, 218, 314]}, {\"cell\": \"72.7\", \"bbox\": [241, 305, 257, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 305, 306, 314]}, {\"cell\": \"24.2\", \"bbox\": [327, 305, 343, 314]}, {\"cell\": \"2.7\", \"bbox\": [365, 305, 378, 314]}, {\"cell\": \"26.6\", \"bbox\": [403, 305, 419, 314]}, {\"cell\": \"3.4\", \"bbox\": [440, 305, 452, 314]}, {\"cell\": \"52.5\", \"bbox\": [477, 305, 494, 314]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"S\", \"bbox\": [53, 318, 59, 327]}, {\"cell\": \"30\", \"bbox\": [85, 318, 95, 327]}, {\"cell\": \"449\", \"bbox\": [122, 318, 136, 327]}, {\"cell\": \"223\", \"bbox\": [166, 318, 180, 327]}, {\"cell\": \"207\", \"bbox\": [203, 318, 218, 327]}, {\"cell\": \"76.3\", \"bbox\": [241, 318, 257, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 318, 305, 327]}, {\"cell\": \"24.7\", \"bbox\": [327, 318, 343, 327]}, {\"cell\": \"2.9\", \"bbox\": [365, 318, 378, 327]}, {\"cell\": \"34.1\", \"bbox\": [403, 318, 419, 327]}, {\"cell\": \"3.5\", \"bbox\": [440, 318, 452, 327]}, {\"cell\": \"55.5\", \"bbox\": [477, 318, 494, 327]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [85, 332, 95, 341]}, {\"cell\": \"441\", \"bbox\": [122, 332, 136, 341]}, {\"cell\": \"223\", \"bbox\": [166, 332, 180, 341]}, {\"cell\": \"207\", \"bbox\": [203, 332, 218, 341]}, {\"cell\": \"81.6\", \"bbox\": [241, 332, 256, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 332, 306, 341]}, {\"cell\": \"23.4\", \"bbox\": [327, 332, 343, 341]}, {\"cell\": \"3.2\", \"bbox\": [365, 332, 378, 341]}, {\"cell\": \"31.4\", \"bbox\": [403, 332, 418, 341]}, {\"cell\": \"4.3\", \"bbox\": [440, 332, 452, 341]}, {\"cell\": \"53.8\", \"bbox\": [477, 332, 494, 341]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [85, 345, 95, 354]}, {\"cell\": \"446\", \"bbox\": [122, 345, 136, 354]}, {\"cell\": \"227\", \"bbox\": [166, 345, 180, 354]}, {\"cell\": \"211\", \"bbox\": [203, 345, 217, 354]}, {\"cell\": \"78.8\", \"bbox\": [241, 345, 257, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 345, 306, 354]}, {\"cell\": \"26.5\", \"bbox\": [327, 345, 343, 354]}, {\"cell\": \"2.7\", \"bbox\": [365, 345, 378, 354]}, {\"cell\": \"30.5\", \"bbox\": [403, 345, 419, 354]}, {\"cell\": \"4.6\", \"bbox\": [440, 345, 452, 354]}, {\"cell\": \"58.8\", \"bbox\": [477, 345, 494, 354]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LSD\", \"bbox\": [85, 359, 101, 368]}, {\"cell\": \"2.40\", \"bbox\": [122, 359, 138, 368]}, {\"cell\": \"2.90\", \"bbox\": [166, 359, 182, 368]}, {\"cell\": \"3.90\", \"bbox\": [203, 359, 220, 368]}, {\"cell\": \"3.60\", \"bbox\": [241, 359, 257, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 359, 305, 368]}, {\"cell\": \"1.10\", \"bbox\": [327, 359, 342, 368]}, {\"cell\": \"0.16\", \"bbox\": [365, 359, 382, 368]}, {\"cell\": \"1.30\", \"bbox\": [403, 359, 418, 368]}, {\"cell\": \"0.15\", \"bbox\": [440, 359, 456, 368]}, {\"cell\": \"1.70\", \"bbox\": [477, 359, 493, 368]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"20\", \"bbox\": [85, 372, 95, 381]}, {\"cell\": \"419\", \"bbox\": [122, 372, 136, 381]}, {\"cell\": \"217\", \"bbox\": [166, 372, 180, 381]}, {\"cell\": \"220\", \"bbox\": [203, 372, 218, 381]}, {\"cell\": \"90.6\", \"bbox\": [241, 372, 257, 381]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 372, 306, 381]}, {\"cell\": \"24.5\", \"bbox\": [327, 372, 343, 381]}, {\"cell\": \"4.0\", \"bbox\": [365, 372, 378, 381]}, {\"cell\": \"28.8\", \"bbox\": [403, 372, 419, 381]}, {\"cell\": \"3.7\", \"bbox\": [440, 372, 452, 381]}, {\"cell\": \"45.8\", \"bbox\": [477, 372, 494, 381]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"T\", \"bbox\": [52, 386, 58, 395]}, {\"cell\": \"30\", \"bbox\": [85, 386, 95, 395]}, {\"cell\": \"434\", \"bbox\": [122, 386, 136, 395]}, {\"cell\": \"220\", \"bbox\": [166, 386, 180, 395]}, {\"cell\": \"201\", \"bbox\": [203, 386, 217, 395]}, {\"cell\": \"79.9\", \"bbox\": [241, 386, 257, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 386, 306, 395]}, {\"cell\": \"26.4\", \"bbox\": [327, 386, 343, 395]}, {\"cell\": \"4.1\", \"bbox\": [365, 386, 378, 395]}, {\"cell\": \"37.8\", \"bbox\": [403, 386, 418, 395]}, {\"cell\": \"3.5\", \"bbox\": [440, 386, 452, 395]}, {\"cell\": \"57.8\", \"bbox\": [477, 386, 492, 395]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"40\", \"bbox\": [85, 399, 95, 408]}, {\"cell\": \"433\", \"bbox\": [122, 399, 136, 408]}, {\"cell\": \"217\", \"bbox\": [166, 399, 180, 408]}, {\"cell\": \"205\", \"bbox\": [203, 399, 218, 408]}, {\"cell\": \"82.2\", \"bbox\": [241, 399, 257, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 399, 306, 408]}, {\"cell\": \"23.8\", \"bbox\": [327, 399, 343, 408]}, {\"cell\": \"4.1\", \"bbox\": [365, 399, 378, 408]}, {\"cell\": \"38.5\", \"bbox\": [403, 399, 419, 408]}, {\"cell\": \"3.7\", \"bbox\": [440, 399, 452, 408]}, {\"cell\": \"63.3\", \"bbox\": [477, 399, 494, 408]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"50\", \"bbox\": [85, 413, 95, 421]}, {\"cell\": \"422\", \"bbox\": [122, 413, 136, 421]}, {\"cell\": \"224\", \"bbox\": [166, 413, 180, 421]}, {\"cell\": \"209\", \"bbox\": [203, 413, 218, 421]}, {\"cell\": \"83.7\", \"bbox\": [241, 413, 257, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 413, 306, 421]}, {\"cell\": \"27.3\", \"bbox\": [327, 413, 342, 421]}, {\"cell\": \"4.1\", \"bbox\": [365, 413, 378, 421]}, {\"cell\": \"39.2\", \"bbox\": [403, 413, 419, 421]}, {\"cell\": \"3.7\", \"bbox\": [440, 413, 452, 421]}, {\"cell\": \"57.8\", \"bbox\": [477, 413, 492, 421]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"LSD\", \"bbox\": [85, 426, 101, 435]}, {\"cell\": \"4.10\", \"bbox\": [122, 426, 138, 435]}, {\"cell\": \"2.60\", \"bbox\": [166, 426, 182, 435]}, {\"cell\": \"7.70\", \"bbox\": [203, 426, 218, 435]}, {\"cell\": \"3.40\", \"bbox\": [241, 426, 257, 435]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [290, 426, 306, 435]}, {\"cell\": \"1.20\", \"bbox\": [327, 426, 342, 435]}, {\"cell\": \"0.20\", \"bbox\": [365, 426, 382, 435]}, {\"cell\": \"1.50\", \"bbox\": [403, 426, 418, 435]}, {\"cell\": \"0.09\", \"bbox\": [440, 426, 457, 435]}, {\"cell\": \"2.70\", \"bbox\": [477, 426, 494, 435]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4332302_006_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}980{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Author</b></td><td><b>Year</b></td><td><b>Age/gender</b></td><td><b>Post-kidney transplantation (years)</b></td><td><b>Hernia content</b></td><td><b>Operation methods</b></td><td><b>Morbidity</b></td></tr></thead><tbody><tr><td>[EMPTY_CELL]</td><td>1985</td><td>58/M</td><td>12</td><td>Transplanted ureter</td><td>McVay</td><td>Ureteric stenosis</td></tr><tr><td>[EMPTY_CELL]</td><td>2000</td><td>39/M</td><td>4</td><td>N/A</td><td>McVay</td><td>Urinary bladder injury</td></tr><tr><td>[EMPTY_CELL]</td><td>2005</td><td>70/M</td><td>5</td><td>Transplanted ureter</td><td>Lichtenstein</td><td>None</td></tr><tr><td>[EMPTY_CELL]</td><td>2006</td><td>44/M</td><td>12</td><td>Transplanted ureter</td><td>N/A</td><td>None</td></tr><tr><td>[EMPTY_CELL]</td><td>2007</td><td>75/M</td><td>11</td><td>Transplanted ureter</td><td>N/A</td><td>None</td></tr><tr><td>[EMPTY_CELL]</td><td>2007</td><td>72/M</td><td>12</td><td>Transplanted ureter</td><td>Polypropylene mesh use</td><td>None</td></tr><tr><td>[EMPTY_CELL]</td><td>2008</td><td>53/M</td><td>9</td><td>Transplanted ureter</td><td>N/A</td><td>None</td></tr><tr><td>[EMPTY_CELL]</td><td>2009</td><td>76/M</td><td>20</td><td>Transplanted ureter</td><td>N/A</td><td>None</td></tr><tr><td>[EMPTY_CELL]</td><td>2010</td><td>58/M</td><td>15</td><td>Transplanted ureter</td><td>Lichtenstein</td><td>None</td></tr><tr><td>[EMPTY_CELL]</td><td>2012</td><td>50/M</td><td>12</td><td>Transplanted ureter</td><td>No operation</td><td>Death</td></tr><tr><td>[EMPTY_CELL]</td><td>2013</td><td>57/M</td><td>3</td><td>N/A</td><td>TAPP</td><td>Ureteric stenosis</td></tr><tr><td>[EMPTY_CELL]</td><td>2014</td><td>32/M</td><td>7</td><td>Transplanted ureter and bladder</td><td>N/A</td><td>None</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>52/M</td><td>7</td><td>N/A</td><td>Lichtenstein</td><td>None</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Author</b>\", \"bbox\": [1, 4, 25, 13]}, {\"cell\": \"<b>Year</b>\", \"bbox\": [52, 4, 68, 13]}, {\"cell\": \"<b>Age/gender</b>\", \"bbox\": [73, 4, 98, 22]}, {\"cell\": \"<b>Post-kidney transplantation (years)</b>\", \"bbox\": [115, 4, 204, 22]}, {\"cell\": \"<b>Hernia content</b>\", \"bbox\": [225, 4, 275, 13]}, {\"cell\": \"<b>Operation methods</b>\", \"bbox\": [328, 4, 393, 13]}, {\"cell\": \"<b>Morbidity</b>\", \"bbox\": [413, 4, 446, 13]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 26, 36, 36]}, {\"cell\": \"1985\", \"bbox\": [52, 26, 69, 36]}, {\"cell\": \"58/M\", \"bbox\": [73, 26, 92, 36]}, {\"cell\": \"12\", \"bbox\": [115, 26, 125, 36]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 26, 289, 36]}, {\"cell\": \"McVay\", \"bbox\": [328, 26, 351, 36]}, {\"cell\": \"Ureteric stenosis\", \"bbox\": [413, 26, 468, 36]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 40, 45, 50]}, {\"cell\": \"2000\", \"bbox\": [52, 40, 69, 50]}, {\"cell\": \"39/M\", \"bbox\": [73, 40, 92, 50]}, {\"cell\": \"4\", \"bbox\": [115, 40, 121, 50]}, {\"cell\": \"N/A\", \"bbox\": [225, 40, 239, 50]}, {\"cell\": \"McVay\", \"bbox\": [328, 40, 351, 50]}, {\"cell\": \"Urinary bladder injury\", \"bbox\": [413, 40, 484, 50]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 54, 39, 64]}, {\"cell\": \"2005\", \"bbox\": [52, 54, 69, 64]}, {\"cell\": \"70/M\", \"bbox\": [73, 54, 92, 64]}, {\"cell\": \"5\", \"bbox\": [115, 54, 121, 64]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 54, 289, 64]}, {\"cell\": \"Lichtenstein\", \"bbox\": [328, 54, 369, 64]}, {\"cell\": \"None\", \"bbox\": [413, 54, 433, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 68, 38, 78]}, {\"cell\": \"2006\", \"bbox\": [52, 68, 69, 78]}, {\"cell\": \"44/M\", \"bbox\": [73, 68, 92, 78]}, {\"cell\": \"12\", \"bbox\": [115, 68, 125, 78]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 68, 289, 78]}, {\"cell\": \"N/A\", \"bbox\": [328, 68, 343, 78]}, {\"cell\": \"None\", \"bbox\": [413, 68, 433, 78]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 82, 42, 92]}, {\"cell\": \"2007\", \"bbox\": [52, 82, 69, 92]}, {\"cell\": \"75/M\", \"bbox\": [73, 82, 92, 92]}, {\"cell\": \"11\", \"bbox\": [115, 82, 125, 92]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 82, 289, 92]}, {\"cell\": \"N/A\", \"bbox\": [328, 82, 343, 92]}, {\"cell\": \"None\", \"bbox\": [413, 82, 433, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 96, 34, 106]}, {\"cell\": \"2007\", \"bbox\": [52, 96, 69, 106]}, {\"cell\": \"72/M\", \"bbox\": [73, 96, 92, 106]}, {\"cell\": \"12\", \"bbox\": [115, 96, 125, 106]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 96, 289, 106]}, {\"cell\": \"Polypropylene mesh use\", \"bbox\": [328, 96, 409, 106]}, {\"cell\": \"None\", \"bbox\": [413, 96, 433, 106]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 110, 30, 120]}, {\"cell\": \"2008\", \"bbox\": [52, 110, 69, 120]}, {\"cell\": \"53/M\", \"bbox\": [73, 110, 92, 120]}, {\"cell\": \"9\", \"bbox\": [115, 110, 121, 120]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 110, 289, 120]}, {\"cell\": \"N/A\", \"bbox\": [328, 110, 343, 120]}, {\"cell\": \"None\", \"bbox\": [413, 110, 433, 120]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 124, 35, 134]}, {\"cell\": \"2009\", \"bbox\": [52, 124, 69, 134]}, {\"cell\": \"76/M\", \"bbox\": [73, 124, 92, 134]}, {\"cell\": \"20\", \"bbox\": [115, 124, 125, 134]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 124, 289, 134]}, {\"cell\": \"N/A\", \"bbox\": [328, 124, 343, 134]}, {\"cell\": \"None\", \"bbox\": [413, 124, 433, 134]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 138, 39, 148]}, {\"cell\": \"2010\", \"bbox\": [52, 138, 69, 148]}, {\"cell\": \"58/M\", \"bbox\": [73, 138, 92, 148]}, {\"cell\": \"15\", \"bbox\": [115, 138, 125, 148]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 138, 289, 148]}, {\"cell\": \"Lichtenstein\", \"bbox\": [328, 138, 369, 148]}, {\"cell\": \"None\", \"bbox\": [413, 138, 433, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 152, 48, 162]}, {\"cell\": \"2012\", \"bbox\": [52, 152, 69, 162]}, {\"cell\": \"50/M\", \"bbox\": [73, 152, 92, 162]}, {\"cell\": \"12\", \"bbox\": [115, 152, 125, 162]}, {\"cell\": \"Transplanted ureter\", \"bbox\": [225, 152, 289, 162]}, {\"cell\": \"No operation\", \"bbox\": [328, 152, 373, 162]}, {\"cell\": \"Death\", \"bbox\": [413, 152, 434, 162]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 166, 23, 176]}, {\"cell\": \"2013\", \"bbox\": [52, 166, 69, 176]}, {\"cell\": \"57/M\", \"bbox\": [73, 166, 92, 176]}, {\"cell\": \"3\", \"bbox\": [115, 166, 121, 176]}, {\"cell\": \"N/A\", \"bbox\": [225, 166, 239, 176]}, {\"cell\": \"TAPP\", \"bbox\": [328, 166, 347, 176]}, {\"cell\": \"Ureteric stenosis\", \"bbox\": [413, 166, 468, 176]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 180, 31, 190]}, {\"cell\": \"2014\", \"bbox\": [52, 180, 69, 190]}, {\"cell\": \"32/M\", \"bbox\": [73, 180, 92, 190]}, {\"cell\": \"7\", \"bbox\": [115, 180, 121, 190]}, {\"cell\": \"Transplanted ureter and bladder\", \"bbox\": [225, 180, 304, 199]}, {\"cell\": \"N/A\", \"bbox\": [328, 180, 343, 190]}, {\"cell\": \"None\", \"bbox\": [413, 180, 433, 190]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [1, 203, 30, 213]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"52/M\", \"bbox\": [73, 203, 92, 213]}, {\"cell\": \"7\", \"bbox\": [115, 203, 121, 213]}, {\"cell\": \"N/A\", \"bbox\": [225, 203, 239, 213]}, {\"cell\": \"Lichtenstein\", \"bbox\": [328, 203, 369, 213]}, {\"cell\": \"None\", \"bbox\": [413, 203, 433, 213]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4609305_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}981{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>N</b></td><td><b>Age (Months)</b></td><td><b>Gender</b></td><td><b>Food</b></td><td><b>SPT Extract (mm)</b></td><td><b>SPT Fresh (mm)</b></td><td><b>Specific IgE (kU/L)</b></td><td><b>Eczema</b></td><td><b>Allergic Rhinitis</b></td><td><b>Asthma</b></td><td><b>Other Food Allergy</b></td><td><b>Symptoms of Index Reaction</b></td><td><b>Challenge Result</b></td></tr></thead><tbody><tr><td>1</td><td>13</td><td>M</td><td>Baked milk</td><td>6</td><td>10</td><td>1.63</td><td>No </td><td>No </td><td>[EMPTY_CELL]</td><td>Egg </td><td>Hives</td><td>Negative</td></tr><tr><td>2</td><td>19</td><td>M</td><td>Baked milk</td><td>8</td><td>10</td><td>0.63</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>No</td><td>Hives, angioedema, vomiting</td><td>Negative</td></tr><tr><td>3</td><td>8</td><td>M</td><td>Peanut</td><td>3</td><td>-</td><td>0.1</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>No</td><td>No prior ingestion</td><td>Negative</td></tr><tr><td>4</td><td>14</td><td>M</td><td>Baked milk</td><td>10</td><td>18</td><td>0.2</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>Egg, peanut</td><td>Eczema flare </td><td>Negative </td></tr><tr><td>5</td><td>15</td><td>M</td><td>Soy</td><td>20</td><td>1</td><td>0.26</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>Egg, peanut</td><td>No prior ingestion</td><td>Negative </td></tr><tr><td>6</td><td>22</td><td>M</td><td>Baked egg</td><td>0</td><td>0</td><td>11.1</td><td>No </td><td>Yes </td><td>[EMPTY_CELL]</td><td>Milk</td><td>Hives</td><td>Positive </td></tr><tr><td>7</td><td>13</td><td>M</td><td>Soy</td><td>0</td><td>20</td><td>0.89</td><td>Yes </td><td>No </td><td>[EMPTY_CELL]</td><td>Egg, peanut, wheat</td><td>Hives, difficulty in breathing</td><td>Negative</td></tr><tr><td>8</td><td>10</td><td>M</td><td>Peanut</td><td>0</td><td>0</td><td>0.12</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>Egg</td><td>No prior ingestion</td><td>Negative</td></tr><tr><td>9</td><td>14</td><td>M</td><td>Sesame</td><td>0</td><td>3</td><td>0.94</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>Egg, peanut, wheat</td><td>Hives, difficulty in breathing</td><td>Negative</td></tr><tr><td>10</td><td>10</td><td>M</td><td>Peanut</td><td>3</td><td>0</td><td>-</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>Milk</td><td>No prior ingestion</td><td>Negative </td></tr><tr><td>11</td><td>10</td><td>F</td><td>Almond</td><td>2</td><td>0</td><td>0.21</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>Peanut</td><td>No prior ingestion</td><td>Negative </td></tr><tr><td>12</td><td>12</td><td>M</td><td>Almond</td><td>3</td><td>0</td><td>0.34</td><td>Yes </td><td>No </td><td>[EMPTY_CELL]</td><td>Egg, peanut, wheat</td><td>No prior ingestion</td><td>Negative</td></tr><tr><td>13</td><td>15</td><td>M</td><td>Peanut</td><td>4</td><td>4</td><td>-</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>No</td><td>No prior ingestion</td><td>Negative</td></tr><tr><td>14</td><td>12</td><td>M</td><td>Peanut</td><td>2</td><td>0</td><td>0.55</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>Tree nuts</td><td>No prior ingestion</td><td>Negative</td></tr><tr><td>15</td><td>34</td><td>M</td><td>Hazelnut</td><td>2</td><td>0</td><td>1.34</td><td>Yes</td><td>No</td><td>[EMPTY_CELL]</td><td>Walnut, pecan</td><td>No prior ingestion</td><td>Negative </td></tr><tr><td>16</td><td>25</td><td>M</td><td>Walnut</td><td>3</td><td>0</td><td>0.1</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>Egg, peanut</td><td>No prior ingestion</td><td>Negative </td></tr><tr><td>17</td><td>27</td><td>M</td><td>Cashew</td><td>5</td><td>4</td><td>0.37</td><td>Yes </td><td>No</td><td>[EMPTY_CELL]</td><td>Egg, peanut</td><td>No prior ingestion</td><td>Negative</td></tr><tr><td>18</td><td>8</td><td>F</td><td>Peanut</td><td>1</td><td>0</td><td>0.1</td><td>Yes </td><td>No </td><td>[EMPTY_CELL]</td><td>No</td><td>Eczema flare, itching, irritability</td><td>Negative </td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>N</b>\", \"bbox\": [1, 2, 8, 10]}, {\"cell\": \"<b>Age (Months)</b>\", \"bbox\": [23, 2, 63, 10]}, {\"cell\": \"<b>Gender</b>\", \"bbox\": [71, 2, 94, 10]}, {\"cell\": \"<b>Food</b>\", \"bbox\": [100, 2, 116, 10]}, {\"cell\": \"<b>SPT Extract (mm)</b>\", \"bbox\": [136, 2, 186, 10]}, {\"cell\": \"<b>SPT Fresh (mm)</b>\", \"bbox\": [201, 2, 247, 10]}, {\"cell\": \"<b>Specific IgE (kU/L)</b>\", \"bbox\": [260, 2, 314, 10]}, {\"cell\": \"<b>Eczema</b>\", \"bbox\": [328, 2, 351, 10]}, {\"cell\": \"<b>Allergic Rhinitis</b>\", \"bbox\": [364, 2, 413, 10]}, {\"cell\": \"<b>Asthma</b>\", \"bbox\": [422, 2, 445, 10]}, {\"cell\": \"<b>Other Food Allergy</b>\", \"bbox\": [452, 2, 508, 10]}, {\"cell\": \"<b>Symptoms of Index Reaction</b>\", \"bbox\": [526, 2, 609, 10]}, {\"cell\": \"<b>Challenge Result</b>\", \"bbox\": [620, 2, 670, 10]}, {\"cell\": \"1\", \"bbox\": [2, 16, 7, 25]}, {\"cell\": \"13\", \"bbox\": [39, 16, 47, 25]}, {\"cell\": \"M\", \"bbox\": [75, 16, 83, 25]}, {\"cell\": \"Baked milk\", \"bbox\": [98, 13, 117, 28]}, {\"cell\": \"6\", \"bbox\": [158, 16, 163, 25]}, {\"cell\": \"10\", \"bbox\": [220, 16, 228, 25]}, {\"cell\": \"1.63\", \"bbox\": [280, 16, 293, 25]}, {\"cell\": \"No \", \"bbox\": [335, 16, 345, 25]}, {\"cell\": \"No \", \"bbox\": [383, 16, 393, 25]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 16, 434, 25]}, {\"cell\": \"Egg \", \"bbox\": [474, 16, 486, 25]}, {\"cell\": \"Hives\", \"bbox\": [558, 16, 576, 25]}, {\"cell\": \"Negative\", \"bbox\": [632, 16, 658, 25]}, {\"cell\": \"2\", \"bbox\": [2, 31, 7, 40]}, {\"cell\": \"19\", \"bbox\": [39, 31, 47, 40]}, {\"cell\": \"M\", \"bbox\": [75, 31, 83, 40]}, {\"cell\": \"Baked milk\", \"bbox\": [98, 28, 117, 43]}, {\"cell\": \"8\", \"bbox\": [158, 31, 163, 40]}, {\"cell\": \"10\", \"bbox\": [220, 31, 228, 40]}, {\"cell\": \"0.63\", \"bbox\": [280, 31, 293, 40]}, {\"cell\": \"Yes \", \"bbox\": [334, 31, 346, 40]}, {\"cell\": \"No\", \"bbox\": [383, 31, 393, 40]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 31, 434, 40]}, {\"cell\": \"No\", \"bbox\": [475, 31, 485, 40]}, {\"cell\": \"Hives, angioedema, vomiting\", \"bbox\": [527, 31, 608, 40]}, {\"cell\": \"Negative\", \"bbox\": [632, 31, 658, 40]}, {\"cell\": \"3\", \"bbox\": [2, 43, 7, 51]}, {\"cell\": \"8\", \"bbox\": [41, 43, 46, 51]}, {\"cell\": \"M\", \"bbox\": [75, 43, 83, 51]}, {\"cell\": \"Peanut\", \"bbox\": [97, 43, 118, 51]}, {\"cell\": \"3\", \"bbox\": [158, 43, 163, 51]}, {\"cell\": \"-\", \"bbox\": [222, 43, 226, 51]}, {\"cell\": \"0.1\", \"bbox\": [282, 43, 292, 51]}, {\"cell\": \"Yes \", \"bbox\": [334, 43, 346, 51]}, {\"cell\": \"No\", \"bbox\": [383, 43, 393, 51]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 43, 434, 51]}, {\"cell\": \"No\", \"bbox\": [475, 43, 485, 51]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 43, 593, 51]}, {\"cell\": \"Negative\", \"bbox\": [632, 43, 658, 51]}, {\"cell\": \"4\", \"bbox\": [2, 54, 7, 62]}, {\"cell\": \"14\", \"bbox\": [39, 54, 47, 62]}, {\"cell\": \"M\", \"bbox\": [75, 54, 83, 62]}, {\"cell\": \"Baked milk\", \"bbox\": [98, 50, 117, 66]}, {\"cell\": \"10\", \"bbox\": [157, 54, 165, 62]}, {\"cell\": \"18\", \"bbox\": [220, 54, 228, 62]}, {\"cell\": \"0.2\", \"bbox\": [282, 54, 292, 62]}, {\"cell\": \"Yes \", \"bbox\": [334, 54, 346, 62]}, {\"cell\": \"No\", \"bbox\": [383, 54, 393, 62]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 54, 434, 62]}, {\"cell\": \"Egg, peanut\", \"bbox\": [463, 54, 497, 62]}, {\"cell\": \"Eczema flare \", \"bbox\": [549, 54, 586, 62]}, {\"cell\": \"Negative \", \"bbox\": [632, 54, 658, 62]}, {\"cell\": \"5\", \"bbox\": [2, 65, 7, 73]}, {\"cell\": \"15\", \"bbox\": [39, 65, 47, 73]}, {\"cell\": \"M\", \"bbox\": [75, 65, 83, 73]}, {\"cell\": \"Soy\", \"bbox\": [102, 65, 114, 73]}, {\"cell\": \"20\", \"bbox\": [157, 65, 165, 73]}, {\"cell\": \"1\", \"bbox\": [221, 65, 226, 73]}, {\"cell\": \"0.26\", \"bbox\": [280, 65, 293, 73]}, {\"cell\": \"Yes \", \"bbox\": [334, 65, 346, 73]}, {\"cell\": \"No\", \"bbox\": [383, 65, 393, 73]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 65, 434, 73]}, {\"cell\": \"Egg, peanut\", \"bbox\": [463, 65, 497, 73]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 65, 593, 73]}, {\"cell\": \"Negative \", \"bbox\": [632, 65, 658, 73]}, {\"cell\": \"6\", \"bbox\": [2, 72, 7, 81]}, {\"cell\": \"22\", \"bbox\": [39, 72, 47, 81]}, {\"cell\": \"M\", \"bbox\": [75, 72, 83, 81]}, {\"cell\": \"Baked egg\", \"bbox\": [93, 72, 123, 81]}, {\"cell\": \"0\", \"bbox\": [158, 72, 163, 81]}, {\"cell\": \"0\", \"bbox\": [221, 72, 226, 81]}, {\"cell\": \"11.1\", \"bbox\": [280, 72, 293, 81]}, {\"cell\": \"No \", \"bbox\": [335, 72, 345, 81]}, {\"cell\": \"Yes \", \"bbox\": [383, 72, 394, 81]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 72, 434, 81]}, {\"cell\": \"Milk\", \"bbox\": [473, 72, 487, 81]}, {\"cell\": \"Hives\", \"bbox\": [558, 72, 576, 81]}, {\"cell\": \"Positive \", \"bbox\": [633, 72, 657, 81]}, {\"cell\": \"7\", \"bbox\": [2, 80, 7, 88]}, {\"cell\": \"13\", \"bbox\": [39, 80, 47, 88]}, {\"cell\": \"M\", \"bbox\": [75, 80, 83, 88]}, {\"cell\": \"Soy\", \"bbox\": [102, 80, 114, 88]}, {\"cell\": \"0\", \"bbox\": [158, 80, 163, 88]}, {\"cell\": \"20\", \"bbox\": [220, 80, 228, 88]}, {\"cell\": \"0.89\", \"bbox\": [280, 80, 293, 88]}, {\"cell\": \"Yes \", \"bbox\": [334, 80, 345, 88]}, {\"cell\": \"No \", \"bbox\": [383, 80, 393, 88]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 80, 434, 88]}, {\"cell\": \"Egg, peanut, wheat\", \"bbox\": [453, 80, 507, 88]}, {\"cell\": \"Hives, difficulty in breathing\", \"bbox\": [527, 80, 607, 88]}, {\"cell\": \"Negative\", \"bbox\": [632, 80, 658, 88]}, {\"cell\": \"8\", \"bbox\": [2, 87, 7, 96]}, {\"cell\": \"10\", \"bbox\": [39, 87, 47, 96]}, {\"cell\": \"M\", \"bbox\": [75, 87, 83, 96]}, {\"cell\": \"Peanut\", \"bbox\": [97, 87, 118, 96]}, {\"cell\": \"0\", \"bbox\": [158, 87, 163, 96]}, {\"cell\": \"0\", \"bbox\": [221, 87, 226, 96]}, {\"cell\": \"0.12\", \"bbox\": [280, 87, 293, 96]}, {\"cell\": \"Yes \", \"bbox\": [334, 87, 345, 96]}, {\"cell\": \"No\", \"bbox\": [383, 87, 393, 96]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 87, 434, 96]}, {\"cell\": \"Egg\", \"bbox\": [474, 87, 486, 96]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 87, 593, 96]}, {\"cell\": \"Negative\", \"bbox\": [632, 87, 658, 96]}, {\"cell\": \"9\", \"bbox\": [2, 95, 7, 103]}, {\"cell\": \"14\", \"bbox\": [39, 95, 47, 103]}, {\"cell\": \"M\", \"bbox\": [75, 95, 83, 103]}, {\"cell\": \"Sesame\", \"bbox\": [97, 95, 119, 103]}, {\"cell\": \"0\", \"bbox\": [158, 95, 163, 103]}, {\"cell\": \"3\", \"bbox\": [221, 95, 226, 103]}, {\"cell\": \"0.94\", \"bbox\": [280, 95, 293, 103]}, {\"cell\": \"Yes \", \"bbox\": [334, 95, 346, 103]}, {\"cell\": \"No\", \"bbox\": [383, 95, 393, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 95, 434, 103]}, {\"cell\": \"Egg, peanut, wheat\", \"bbox\": [453, 95, 507, 103]}, {\"cell\": \"Hives, difficulty in breathing\", \"bbox\": [527, 95, 607, 103]}, {\"cell\": \"Negative\", \"bbox\": [632, 95, 658, 103]}, {\"cell\": \"10\", \"bbox\": [0, 102, 9, 111]}, {\"cell\": \"10\", \"bbox\": [39, 102, 47, 111]}, {\"cell\": \"M\", \"bbox\": [75, 102, 83, 111]}, {\"cell\": \"Peanut\", \"bbox\": [97, 102, 118, 111]}, {\"cell\": \"3\", \"bbox\": [158, 102, 163, 111]}, {\"cell\": \"0\", \"bbox\": [221, 102, 226, 111]}, {\"cell\": \"-\", \"bbox\": [285, 102, 289, 111]}, {\"cell\": \"Yes \", \"bbox\": [334, 102, 346, 111]}, {\"cell\": \"No\", \"bbox\": [383, 102, 393, 111]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 102, 434, 111]}, {\"cell\": \"Milk\", \"bbox\": [473, 102, 487, 111]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 102, 593, 111]}, {\"cell\": \"Negative \", \"bbox\": [632, 102, 658, 111]}, {\"cell\": \"11\", \"bbox\": [0, 110, 9, 118]}, {\"cell\": \"10\", \"bbox\": [39, 110, 47, 118]}, {\"cell\": \"F\", \"bbox\": [76, 110, 82, 118]}, {\"cell\": \"Almond\", \"bbox\": [95, 110, 120, 118]}, {\"cell\": \"2\", \"bbox\": [158, 110, 163, 118]}, {\"cell\": \"0\", \"bbox\": [221, 110, 226, 118]}, {\"cell\": \"0.21\", \"bbox\": [280, 110, 293, 118]}, {\"cell\": \"Yes \", \"bbox\": [334, 110, 346, 118]}, {\"cell\": \"No\", \"bbox\": [383, 110, 393, 118]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 110, 434, 118]}, {\"cell\": \"Peanut\", \"bbox\": [469, 110, 490, 118]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 110, 593, 118]}, {\"cell\": \"Negative \", \"bbox\": [632, 110, 658, 118]}, {\"cell\": \"12\", \"bbox\": [0, 117, 9, 125]}, {\"cell\": \"12\", \"bbox\": [39, 117, 47, 125]}, {\"cell\": \"M\", \"bbox\": [75, 117, 83, 125]}, {\"cell\": \"Almond\", \"bbox\": [95, 117, 120, 125]}, {\"cell\": \"3\", \"bbox\": [158, 117, 163, 125]}, {\"cell\": \"0\", \"bbox\": [221, 117, 226, 125]}, {\"cell\": \"0.34\", \"bbox\": [280, 117, 293, 125]}, {\"cell\": \"Yes \", \"bbox\": [334, 117, 346, 125]}, {\"cell\": \"No \", \"bbox\": [383, 117, 393, 125]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 117, 434, 125]}, {\"cell\": \"Egg, peanut, wheat\", \"bbox\": [453, 117, 507, 125]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 117, 593, 125]}, {\"cell\": \"Negative\", \"bbox\": [632, 117, 658, 125]}, {\"cell\": \"13\", \"bbox\": [0, 125, 9, 133]}, {\"cell\": \"15\", \"bbox\": [39, 125, 47, 133]}, {\"cell\": \"M\", \"bbox\": [75, 125, 83, 133]}, {\"cell\": \"Peanut\", \"bbox\": [97, 125, 118, 133]}, {\"cell\": \"4\", \"bbox\": [158, 125, 163, 133]}, {\"cell\": \"4\", \"bbox\": [221, 125, 226, 133]}, {\"cell\": \"-\", \"bbox\": [285, 125, 289, 133]}, {\"cell\": \"Yes \", \"bbox\": [334, 125, 346, 133]}, {\"cell\": \"No\", \"bbox\": [383, 125, 393, 133]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 125, 434, 133]}, {\"cell\": \"No\", \"bbox\": [475, 125, 485, 133]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 125, 593, 133]}, {\"cell\": \"Negative\", \"bbox\": [632, 125, 658, 133]}, {\"cell\": \"14\", \"bbox\": [0, 132, 9, 140]}, {\"cell\": \"12\", \"bbox\": [39, 132, 47, 140]}, {\"cell\": \"M\", \"bbox\": [75, 132, 83, 140]}, {\"cell\": \"Peanut\", \"bbox\": [97, 132, 118, 140]}, {\"cell\": \"2\", \"bbox\": [158, 132, 163, 140]}, {\"cell\": \"0\", \"bbox\": [221, 132, 226, 140]}, {\"cell\": \"0.55\", \"bbox\": [280, 132, 293, 140]}, {\"cell\": \"Yes \", \"bbox\": [334, 132, 346, 140]}, {\"cell\": \"No\", \"bbox\": [383, 132, 393, 140]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 132, 434, 140]}, {\"cell\": \"Tree nuts\", \"bbox\": [467, 132, 493, 140]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 132, 593, 140]}, {\"cell\": \"Negative\", \"bbox\": [632, 132, 658, 140]}, {\"cell\": \"15\", \"bbox\": [0, 140, 9, 148]}, {\"cell\": \"34\", \"bbox\": [39, 140, 47, 148]}, {\"cell\": \"M\", \"bbox\": [75, 140, 83, 148]}, {\"cell\": \"Hazelnut\", \"bbox\": [94, 140, 121, 148]}, {\"cell\": \"2\", \"bbox\": [158, 140, 163, 148]}, {\"cell\": \"0\", \"bbox\": [221, 140, 226, 148]}, {\"cell\": \"1.34\", \"bbox\": [280, 140, 293, 148]}, {\"cell\": \"Yes\", \"bbox\": [334, 140, 346, 148]}, {\"cell\": \"No\", \"bbox\": [383, 140, 393, 148]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 140, 434, 148]}, {\"cell\": \"Walnut, pecan\", \"bbox\": [460, 140, 500, 148]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 140, 593, 148]}, {\"cell\": \"Negative \", \"bbox\": [632, 140, 658, 148]}, {\"cell\": \"16\", \"bbox\": [0, 147, 9, 155]}, {\"cell\": \"25\", \"bbox\": [39, 147, 47, 155]}, {\"cell\": \"M\", \"bbox\": [75, 147, 83, 155]}, {\"cell\": \"Walnut\", \"bbox\": [97, 147, 119, 155]}, {\"cell\": \"3\", \"bbox\": [158, 147, 163, 155]}, {\"cell\": \"0\", \"bbox\": [221, 147, 226, 155]}, {\"cell\": \"0.1\", \"bbox\": [282, 147, 292, 155]}, {\"cell\": \"Yes \", \"bbox\": [334, 147, 346, 155]}, {\"cell\": \"No\", \"bbox\": [383, 147, 393, 155]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 147, 435, 155]}, {\"cell\": \"Egg, peanut\", \"bbox\": [463, 147, 497, 155]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 147, 593, 155]}, {\"cell\": \"Negative \", \"bbox\": [632, 147, 658, 155]}, {\"cell\": \"17\", \"bbox\": [0, 155, 9, 163]}, {\"cell\": \"27\", \"bbox\": [39, 155, 47, 163]}, {\"cell\": \"M\", \"bbox\": [75, 155, 83, 163]}, {\"cell\": \"Cashew\", \"bbox\": [96, 155, 119, 163]}, {\"cell\": \"5\", \"bbox\": [158, 155, 163, 163]}, {\"cell\": \"4\", \"bbox\": [221, 155, 226, 163]}, {\"cell\": \"0.37\", \"bbox\": [280, 155, 293, 163]}, {\"cell\": \"Yes \", \"bbox\": [334, 155, 346, 163]}, {\"cell\": \"No\", \"bbox\": [383, 155, 393, 163]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 155, 435, 163]}, {\"cell\": \"Egg, peanut\", \"bbox\": [463, 155, 497, 163]}, {\"cell\": \"No prior ingestion\", \"bbox\": [541, 155, 593, 163]}, {\"cell\": \"Negative\", \"bbox\": [632, 155, 658, 163]}, {\"cell\": \"18\", \"bbox\": [0, 162, 9, 170]}, {\"cell\": \"8\", \"bbox\": [41, 162, 46, 170]}, {\"cell\": \"F\", \"bbox\": [76, 162, 82, 170]}, {\"cell\": \"Peanut\", \"bbox\": [97, 162, 118, 170]}, {\"cell\": \"1\", \"bbox\": [158, 162, 163, 170]}, {\"cell\": \"0\", \"bbox\": [221, 162, 226, 170]}, {\"cell\": \"0.1\", \"bbox\": [282, 162, 292, 170]}, {\"cell\": \"Yes \", \"bbox\": [334, 162, 346, 170]}, {\"cell\": \"No \", \"bbox\": [383, 162, 393, 170]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [424, 162, 434, 170]}, {\"cell\": \"No\", \"bbox\": [475, 162, 485, 170]}, {\"cell\": \"Eczema flare, itching, irritability\", \"bbox\": [523, 162, 612, 170]}, {\"cell\": \"Negative \", \"bbox\": [632, 162, 658, 170]}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC6024989_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}982{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td><b>Gene symbol</b></td><td><b>Accession no.</b></td><td><b>Primer sequences from 5′to 3′</b></td><td><b>Size (bp)</b></td></tr></thead><tbody><tr><td><i>RNA18S</i></td><td>NR 003286.2</td><td>[EMPTY_CELL]</td><td>153</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>POU5F1</i></td><td>NM 002701.4</td><td>[EMPTY_CELL]</td><td>381</td></tr><tr><td><i>(OCT4A)</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>IL6</i></td><td>NM 000600.3</td><td>[EMPTY_CELL]</td><td>175</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>IL6R</i></td><td>NM 000565.3</td><td>[EMPTY_CELL]</td><td>198</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>IL6ST</i></td><td>NM 002184.3</td><td>[EMPTY_CELL]</td><td>246</td></tr><tr><td><i>(gp130)</i></td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>CXCR4</i></td><td>NM 001008540.1</td><td>[EMPTY_CELL]</td><td>94</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>MMP2</i></td><td>NM 004530.4</td><td>[EMPTY_CELL]</td><td>153</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td><i>MMP9</i></td><td>NM 004994.2</td><td>[EMPTY_CELL]</td><td>179</td></tr><tr><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"<b>Gene symbol</b>\", \"bbox\": [0, 7, 29, 28]}, {\"cell\": \"<b>Accession no.</b>\", \"bbox\": [40, 7, 91, 16]}, {\"cell\": \"<b>Primer sequences from 5′to 3′</b>\", \"bbox\": [109, 7, 218, 16]}, {\"cell\": \"<b>Size (bp)</b>\", \"bbox\": [232, 7, 249, 28]}, {\"cell\": \"<i>RNA18S</i>\", \"bbox\": [0, 38, 30, 47]}, {\"cell\": \"NR 003286.2\", \"bbox\": [43, 38, 89, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 38, 227, 46]}, {\"cell\": \"153\", \"bbox\": [234, 38, 248, 46]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 50, 227, 58]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>POU5F1</i>\", \"bbox\": [0, 61, 31, 70]}, {\"cell\": \"NM 002701.4\", \"bbox\": [43, 61, 89, 69]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 61, 229, 69]}, {\"cell\": \"381\", \"bbox\": [233, 61, 248, 69]}, {\"cell\": \"<i>(OCT4A)</i>\", \"bbox\": [0, 73, 31, 82]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 73, 226, 80]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>IL6</i>\", \"bbox\": [0, 84, 13, 93]}, {\"cell\": \"NM 000600.3\", \"bbox\": [42, 84, 90, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 84, 227, 92]}, {\"cell\": \"175\", \"bbox\": [234, 84, 248, 92]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [103, 96, 225, 103]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>IL6R</i>\", \"bbox\": [0, 107, 18, 116]}, {\"cell\": \"NM 000565.3\", \"bbox\": [42, 107, 90, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 107, 227, 115]}, {\"cell\": \"198\", \"bbox\": [234, 107, 248, 115]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 119, 227, 126]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>IL6ST</i>\", \"bbox\": [0, 130, 21, 139]}, {\"cell\": \"NM 002184.3\", \"bbox\": [42, 130, 90, 138]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 130, 227, 138]}, {\"cell\": \"246\", \"bbox\": [233, 130, 248, 138]}, {\"cell\": \"<i>(gp130)</i>\", \"bbox\": [0, 142, 27, 150]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 142, 228, 149]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>CXCR4</i>\", \"bbox\": [0, 153, 26, 162]}, {\"cell\": \"NM 001008540.1\", \"bbox\": [36, 153, 95, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [99, 153, 229, 161]}, {\"cell\": \"94\", \"bbox\": [238, 153, 248, 161]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 164, 228, 172]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>MMP2</i>\", \"bbox\": [0, 176, 25, 185]}, {\"cell\": \"NM 004530.4\", \"bbox\": [42, 176, 90, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 176, 227, 184]}, {\"cell\": \"153\", \"bbox\": [234, 176, 248, 184]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [101, 187, 226, 195]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>MMP9</i>\", \"bbox\": [0, 199, 25, 208]}, {\"cell\": \"NM 004994.2\", \"bbox\": [42, 199, 90, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [100, 199, 228, 206]}, {\"cell\": \"179\", \"bbox\": [234, 199, 248, 206]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [102, 210, 226, 218]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC3988380_002_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}983{"messages": [{"role": "user", "content": "<image>\nPlease perform the following two tasks for this image:\n1. Convert the table in the image into HTML format code.\n2. Identify and extract the text content and its bounding box coordinates for each cell in the table.\n\nPlease combine the final results into a single JSON object and return it in the following format:\n{\n \"html\": \"...\",\n \"cells\": [{\"cell\": \"...\", \"bbox\": [...]}, ...]\n}"}, {"role": "assistant", "content": "{\"html\": \"<table><thead><tr><td>[EMPTY_CELL]</td><td><b>Origin HH (resident) %</b></td><td><b>Origin HH (non-resident) %</b></td><td><b>Different HH in DSA %</b></td><td><b>Total %</b></td><td><b><i>p</i>-valueb</b></td></tr></thead><tbody><tr><td>1+ migrationc</td><td>[EMPTY_CELL]</td><td>80</td><td>67</td><td>75</td><td><i>0</i>.<i>56</i></td></tr><tr><td>Periods of co-residency with migrant parent in DSA since 1/1/2000 for children born before the start of their parent's migrationd:</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td></tr><tr><td> 1+</td><td>[EMPTY_CELL]</td><td>56</td><td>16</td><td>59</td><td>[EMPTY_CELL]</td></tr><tr><td> 0</td><td>[EMPTY_CELL]</td><td>44</td><td>84</td><td>41</td><td>[EMPTY_CELL]</td></tr><tr><td>Of children born before the start of their parent's migration who have had 0 periods of co-residency with migrant parent in DSA since 1/1/2000e:</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td>[EMPTY_CELL]</td><td><i>0</i>.<i>24</i></td></tr><tr><td>Migrant parent never resident in DSA since 1/1/2000</td><td>[EMPTY_CELL]</td><td>76</td><td>67</td><td>84</td><td>[EMPTY_CELL]</td></tr></tbody></table>\", \"cells\": [{\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<b>Origin HH (resident) %</b>\", \"bbox\": [244, 6, 284, 36]}, {\"cell\": \"<b>Origin HH (non-resident) %</b>\", \"bbox\": [294, 6, 345, 36]}, {\"cell\": \"<b>Different HH in DSA %</b>\", \"bbox\": [355, 6, 388, 36]}, {\"cell\": \"<b>Total %</b>\", \"bbox\": [398, 16, 417, 36]}, {\"cell\": \"<b><i>p</i>-valueb</b>\", \"bbox\": [427, 24, 459, 36]}, {\"cell\": \"1+ migrationc\", \"bbox\": [1, 40, 57, 53]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 42, 261, 53]}, {\"cell\": \"80\", \"bbox\": [314, 42, 325, 53]}, {\"cell\": \"67\", \"bbox\": [366, 42, 377, 53]}, {\"cell\": \"75\", \"bbox\": [402, 42, 413, 53]}, {\"cell\": \"<i>0</i>.<i>56</i>\", \"bbox\": [434, 42, 452, 53]}, {\"cell\": \"Periods of co-residency with migrant parent in DSA since 1/1/2000 for children born before the start of their parent's migrationd:\", \"bbox\": [1, 53, 234, 86]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [255, 53, 277, 64]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 1+\", \"bbox\": [8, 86, 20, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 86, 261, 97]}, {\"cell\": \"56\", \"bbox\": [314, 86, 325, 97]}, {\"cell\": \"16\", \"bbox\": [366, 86, 377, 97]}, {\"cell\": \"59\", \"bbox\": [402, 86, 413, 97]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \" 0\", \"bbox\": [8, 97, 15, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 97, 261, 108]}, {\"cell\": \"44\", \"bbox\": [314, 97, 325, 108]}, {\"cell\": \"84\", \"bbox\": [366, 97, 377, 108]}, {\"cell\": \"41\", \"bbox\": [402, 97, 413, 108]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"Of children born before the start of their parent's migration who have had 0 periods of co-residency with migrant parent in DSA since 1/1/2000e:\", \"bbox\": [0, 108, 234, 141]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}, {\"cell\": \"<i>0</i>.<i>24</i>\", \"bbox\": [434, 108, 452, 119]}, {\"cell\": \"Migrant parent never resident in DSA since 1/1/2000\", \"bbox\": [1, 141, 216, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": [250, 141, 261, 152]}, {\"cell\": \"76\", \"bbox\": [314, 141, 325, 152]}, {\"cell\": \"67\", \"bbox\": [366, 141, 377, 152]}, {\"cell\": \"84\", \"bbox\": [402, 141, 413, 152]}, {\"cell\": \"[EMPTY_CELL]\", \"bbox\": []}]}"}], "images": ["SparseTable_Bench_Dataset-zd/PMC4430828_008_00.png"], "system": "You are a multi-task OCR recognition expert. Your task is to accurately extract information from images and output it in the specified format. You need to accomplish two things simultaneously: first, structure the table into HTML code, and second, detect and output the text and precise coordinates of each cell."}984