czty/MMV-dataset
MMV-dataset Reproducible research splits and full-training subsets derived from long-video benchmarks. No video, audio, or subtitle media is included. Hosted data Component Train Validation Grouping unit License LongVideoBench labeled validation set 401 936 video_id CC BY-NC-SA 4.0 EgoTempo open-ended QA 150 350 original Ego4D video UID CC BY 4.0 Unified supervised records 1,084 2,529 inherited mixed; see per-row license The LongVideoBench… See the full description on the dataset page: https://huggingface.co/datasets/czty/MMV-dataset.
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1{2 "benchmarks": {3 "egotempo": {4 "benchmark": "EgoTempo",5 "distributions": {6 "all": {7 "question_type": {8 "action sequence": 50,9 "action-specific object": 50,10 "counting actions": 50,11 "counting objects": 50,12 "future action prediction": 50,13 "locating object": 50,14 "object sequence": 50,15 "object-specific action": 50,16 "spatial relationship": 50,17 "temporal event ordering": 5018 }19 },20 "train": {21 "question_type": {22 "action sequence": 15,23 "action-specific object": 15,24 "counting actions": 15,25 "counting objects": 15,26 "future action prediction": 15,27 "locating object": 15,28 "object sequence": 15,29 "object-specific action": 15,30 "spatial relationship": 15,31 "temporal event ordering": 1532 }33 },34 "validation": {35 "question_type": {36 "action sequence": 35,37 "action-specific object": 35,38 "counting actions": 35,39 "counting objects": 35,40 "future action prediction": 35,41 "locating object": 35,42 "object sequence": 35,43 "object-specific action": 35,44 "spatial relationship": 35,45 "temporal event ordering": 3546 }47 }48 },49 "group_overlap": 0,50 "total_groups": 222,51 "total_rows": 500,52 "train_fraction": 0.3,53 "train_groups": 62,54 "train_rows": 150,55 "validation_groups": 160,56 "validation_rows": 35057 },58 "longvideobench": {59 "benchmark": "LongVideoBench",60 "distributions": {61 "all": {62 "duration_group": {63 "15": 189,64 "3600": 564,65 "60": 172,66 "600": 41267 },68 "level": {69 "L1-Perception": 625,70 "L2-Relation": 71271 },72 "question_category": {73 "E2O": 65,74 "E3E": 94,75 "O2E": 87,76 "O3O": 66,77 "S2A": 88,78 "S2E": 93,79 "S2O": 72,80 "SAA": 72,81 "SOS": 81,82 "SSS": 97,83 "T2A": 79,84 "T2E": 65,85 "T2O": 76,86 "T3E": 73,87 "T3O": 74,88 "TAA": 82,89 "TOS": 7390 },91 "topic_category": {92 "KA-Knowledge-Art": 142,93 "KC-Knowledge-Computer-Science": 75,94 "KG-Knowledge-Geography": 124,95 "KH-Knowledge-History": 147,96 "KS-Knowledge-STEM": 111,97 "LC-Lifestyle-Cooking-Recipes": 146,98 "LT-Lifestyle-Travel-Guides": 150,99 "LV-Lifestyle-Life-Vlogs": 169,100 "NP-News-Programs": 121,101 "Recreational: MR-Movie-Recaps": 152102 }103 },104 "train": {105 "duration_group": {106 "15": 64,107 "3600": 153,108 "60": 58,109 "600": 126110 },111 "level": {112 "L1-Perception": 187,113 "L2-Relation": 214114 },115 "question_category": {116 "E2O": 19,117 "E3E": 28,118 "O2E": 26,119 "O3O": 20,120 "S2A": 26,121 "S2E": 28,122 "S2O": 22,123 "SAA": 22,124 "SOS": 24,125 "SSS": 29,126 "T2A": 24,127 "T2E": 19,128 "T2O": 23,129 "T3E": 22,130 "T3O": 22,131 "TAA": 25,132 "TOS": 22133 },134 "topic_category": {135 "KA-Knowledge-Art": 42,136 "KC-Knowledge-Computer-Science": 23,137 "KG-Knowledge-Geography": 37,138 "KH-Knowledge-History": 44,139 "KS-Knowledge-STEM": 34,140 "LC-Lifestyle-Cooking-Recipes": 44,141 "LT-Lifestyle-Travel-Guides": 45,142 "LV-Lifestyle-Life-Vlogs": 51,143 "NP-News-Programs": 36,144 "Recreational: MR-Movie-Recaps": 45145 }146 },147 "validation": {148 "duration_group": {149 "15": 125,150 "3600": 411,151 "60": 114,152 "600": 286153 },154 "level": {155 "L1-Perception": 438,156 "L2-Relation": 498157 },158 "question_category": {159 "E2O": 46,160 "E3E": 66,161 "O2E": 61,162 "O3O": 46,163 "S2A": 62,164 "S2E": 65,165 "S2O": 50,166 "SAA": 50,167 "SOS": 57,168 "SSS": 68,169 "T2A": 55,170 "T2E": 46,171 "T2O": 53,172 "T3E": 51,173 "T3O": 52,174 "TAA": 57,175 "TOS": 51176 },177 "topic_category": {178 "KA-Knowledge-Art": 100,179 "KC-Knowledge-Computer-Science": 52,180 "KG-Knowledge-Geography": 87,181 "KH-Knowledge-History": 103,182 "KS-Knowledge-STEM": 77,183 "LC-Lifestyle-Cooking-Recipes": 102,184 "LT-Lifestyle-Travel-Guides": 105,185 "LV-Lifestyle-Life-Vlogs": 118,186 "NP-News-Programs": 85,187 "Recreational: MR-Movie-Recaps": 107188 }189 }190 },191 "group_overlap": 0,192 "total_groups": 753,193 "total_rows": 1337,194 "train_fraction": 0.299925205684368,195 "train_groups": 237,196 "train_rows": 401,197 "validation_groups": 516,198 "validation_rows": 936199 },200 "videomme": {201 "benchmark": "Video-MME",202 "distributions": {203 "all": {204 "domain": {205 "Artistic Performance": 360,206 "Film & Television": 360,207 "Knowledge": 810,208 "Life Record": 630,209 "Multilingual": 90,210 "Sports Competition": 450211 },212 "duration": {213 "long": 900,214 "medium": 900,215 "short": 900216 },217 "sub_category": {218 "Acrobatics": 90,219 "Animation": 90,220 "Astronomy": 90,221 "Athletics": 90,222 "Basketball": 90,223 "Biology & Medicine": 90,224 "Daily Life": 90,225 "Documentary": 90,226 "Esports": 90,227 "Exercise": 90,228 "Fashion": 90,229 "Finance & Commerce": 90,230 "Food": 90,231 "Football": 90,232 "Geography": 90,233 "Handicraft": 90,234 "Humanity & History": 90,235 "Law": 90,236 "Life Tip": 90,237 "Literature & Art": 90,238 "Magic Show": 90,239 "Movie & TV Show": 90,240 "Multilingual": 90,241 "News Report": 90,242 "Other Sports": 90,243 "Pet & Animal": 90,244 "Stage Play": 90,245 "Technology": 90,246 "Travel": 90,247 "Variety Show": 90248 },249 "task_type": {250 "Action Reasoning": 285,251 "Action Recognition": 313,252 "Attribute Perception": 222,253 "Counting Problem": 268,254 "Information Synopsis": 323,255 "OCR Problems": 139,256 "Object Reasoning": 454,257 "Object Recognition": 354,258 "Spatial Perception": 54,259 "Spatial Reasoning": 56,260 "Temporal Perception": 55,261 "Temporal Reasoning": 177262 }263 },264 "train": {265 "domain": {266 "Artistic Performance": 108,267 "Film & Television": 108,268 "Knowledge": 243,269 "Life Record": 189,270 "Multilingual": 27,271 "Sports Competition": 135272 },273 "duration": {274 "long": 270,275 "medium": 270,276 "short": 270277 },278 "sub_category": {279 "Acrobatics": 27,280 "Animation": 27,281 "Astronomy": 27,282 "Athletics": 27,283 "Basketball": 27,284 "Biology & Medicine": 27,285 "Daily Life": 27,286 "Documentary": 27,287 "Esports": 27,288 "Exercise": 27,289 "Fashion": 27,290 "Finance & Commerce": 27,291 "Food": 27,292 "Football": 27,293 "Geography": 27,294 "Handicraft": 27,295 "Humanity & History": 27,296 "Law": 27,297 "Life Tip": 27,298 "Literature & Art": 27,299 "Magic Show": 27,300 "Movie & TV Show": 27,301 "Multilingual": 27,302 "News Report": 27,303 "Other Sports": 27,304 "Pet & Animal": 27,305 "Stage Play": 27,306 "Technology": 27,307 "Travel": 27,308 "Variety Show": 27309 },310 "task_type": {311 "Action Reasoning": 86,312 "Action Recognition": 94,313 "Attribute Perception": 67,314 "Counting Problem": 80,315 "Information Synopsis": 97,316 "OCR Problems": 42,317 "Object Reasoning": 136,318 "Object Recognition": 106,319 "Spatial Perception": 16,320 "Spatial Reasoning": 17,321 "Temporal Perception": 16,322 "Temporal Reasoning": 53323 }324 },325 "validation": {326 "domain": {327 "Artistic Performance": 252,328 "Film & Television": 252,329 "Knowledge": 567,330 "Life Record": 441,331 "Multilingual": 63,332 "Sports Competition": 315333 },334 "duration": {335 "long": 630,336 "medium": 630,337 "short": 630338 },339 "sub_category": {340 "Acrobatics": 63,341 "Animation": 63,342 "Astronomy": 63,343 "Athletics": 63,344 "Basketball": 63,345 "Biology & Medicine": 63,346 "Daily Life": 63,347 "Documentary": 63,348 "Esports": 63,349 "Exercise": 63,350 "Fashion": 63,351 "Finance & Commerce": 63,352 "Food": 63,353 "Football": 63,354 "Geography": 63,355 "Handicraft": 63,356 "Humanity & History": 63,357 "Law": 63,358 "Life Tip": 63,359 "Literature & Art": 63,360 "Magic Show": 63,361 "Movie & TV Show": 63,362 "Multilingual": 63,363 "News Report": 63,364 "Other Sports": 63,365 "Pet & Animal": 63,366 "Stage Play": 63,367 "Technology": 63,368 "Travel": 63,369 "Variety Show": 63370 },371 "task_type": {372 "Action Reasoning": 199,373 "Action Recognition": 219,374 "Attribute Perception": 155,375 "Counting Problem": 188,376 "Information Synopsis": 226,377 "OCR Problems": 97,378 "Object Reasoning": 318,379 "Object Recognition": 248,380 "Spatial Perception": 38,381 "Spatial Reasoning": 39,382 "Temporal Perception": 39,383 "Temporal Reasoning": 124384 }385 }386 },387 "group_overlap": 0,388 "total_groups": 900,389 "total_rows": 2700,390 "train_fraction": 0.3,391 "train_groups": 270,392 "train_rows": 810,393 "validation_groups": 630,394 "validation_rows": 1890395 }396 },397 "format_version": 1,398 "public_build_includes_videomme_records": false,399 "seed": "MMV-dataset-v1-2026-09-04",400 "split_policy": "exact 30/70 by rows, isolated by video group"401}402