Doctor5benchmark/DocToR-5
DocToR 5 documents Tracing of Robustness Dataset Summary We introduce the DOCTOR 5 benchmark to systematically test the visual and logical robustness of multimodal models. The dataset features approximately 13k+ document images and over 65000 visual question answering pairs. It covers 12 diverse domains including scientific papers financial reports and business presentations. This resource provides a standardized testbed for evaluating models against generation… See the full description on the dataset page: https://huggingface.co/datasets/Doctor5benchmark/DocToR-5.
0104
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A short video summary in 1 min PLUS a classroom live presentation in 6-8 min;"105 },106 {107 "category_type": "table",108 "anno_id": 4,109 "order": 4,110 "ignore": false,111 "poly": [112 313.79537263613963,113 762.7345238996617,114 1832.6753859416626,115 762.7345238996617,116 1832.6753859416626,117 907.7977235024267,118 313.79537263613963,119 907.7977235024267120 ],121 "line_with_spans": [],122 "attribute": {123 "with_span": false,124 "table_layout": "horizontal",125 "line": "full_line",126 "language": "table_en",127 "include_background": true,128 "include_equation": false,129 "include_photo": false130 },131 "html": "<table><tr><td>1-min video by<br> Mar 11</td><td>Tutorial: 6-8 min classroom <br>live presentation</td><td>7-10 min tutorial <br>discussion, Q&A</td></tr></table>"132 },133 {134 "category_type": "text_block",135 "anno_id": 7,136 "order": 5,137 "ignore": false,138 "poly": [139 286.6666666666667,140 956,141 1752,142 956,143 1752,144 1028,145 286.6666666666667,146 1028147 ],148 "line_with_spans": [],149 "attribute": {150 "text_language": "text_english",151 "text_background": "single_colored",152 "text_rotate": "normal"153 },154 "text": "2. A full video presentation in 5-7 min;"155 },156 {157 "category_type": "table",158 "anno_id": 5,159 "order": 6,160 "ignore": false,161 "poly": [162 320.38792071729773,163 1030.5787663605902,164 1835.4619479760302,165 1030.5787663605902,166 1835.4619479760302,167 1174.1870568182746,168 320.38792071729773,169 1174.1870568182746170 ],171 "line_with_spans": [],172 "attribute": {173 "with_span": false,174 "table_layout": "horizontal",175 "line": "full_line",176 "language": "table_en",177 "include_background": true,178 "include_equation": false,179 "include_photo": false180 },181 "html": "<table><tr><td>~6-min full video by Mar 11</td><td>Tutorial: introduction and view video presentation</td><td>7-10 min tutorial discussion, Q&A </td></tr></table>"182 },183 {184 "category_type": "text_block",185 "anno_id": 11,186 "order": 7,187 "ignore": false,188 "poly": [189 222.66666666666666,190 1261.3333333333333,191 1500,192 1261.3333333333333,193 1500,194 1337.3333333333333,195 222.66666666666666,196 1337.3333333333333197 ],198 "line_with_spans": [],199 "attribute": {200 "text_language": "text_english",201 "text_background": "white",202 "text_rotate": "normal"203 },204 "text": "□ ALL videos due on Mar 11, 2016;"205 },206 {207 "category_type": "page_number",208 "anno_id": 10,209 "order": null,210 "ignore": false,211 "poly": [212 50.22924285486639,213 1372.4445683260778,214 125.48713586276602,215 1372.4445683260778,216 125.48713586276602,217 1450.0340085387415,218 50.22924285486639,219 1450.0340085387415220 ],221 "line_with_spans": [],222 "attribute": {223 "text_language": "text_simplified_chinese",224 "text_background": "single_colored",225 "text_rotate": "normal"226 },227 "text": "10"228 },229 {230 "category_type": "footer",231 "anno_id": 9,232 "order": null,233 "ignore": false,234 "poly": [235 1699.26773974254,236 1376.6048693477394,237 1898.0722869305841,238 1376.6048693477394,239 1898.0722869305841,240 1433.754933661212,241 1699.26773974254,242 1433.754933661212243 ],244 "line_with_spans": [],245 "attribute": {246 "text_language": "text_simplified_chinese",247 "text_background": "white",248 "text_rotate": "normal"249 },250 "text": "5/21/2025"251 },252 {253 "category_type": "footer",254 "anno_id": 12,255 "order": null,256 "ignore": false,257 "poly": [258 217.52082179072946,259 1371.3870679380218,260 771.7520494426959,261 1371.3870679380218,262 771.7520494426959,263 1423.2345053635281,264 217.52082179072946,265 1423.2345053635281266 ],267 "line_with_spans": [],268 "attribute": {269 "text_language": "text_english",270 "text_background": "white",271 "text_rotate": "normal"272 },273 "text": "ENGG1000 Presentation Specification"274 }275 ],276 "extra": {277 "relation": []278 }279}