Download audit/split_report.json from czty/MMV-dataset: direct link, hf CLI and curl.
- Browser
- Download file 11.6 kB
-
https://huggingface.co/datasets/czty/MMV-dataset/resolve/main/audit/split_report.json
- Command line
-
hf download hf://datasets/czty/MMV-dataset/audit/split_report.json
-
curl -L -o split_report.json https://huggingface.co/datasets/czty/MMV-dataset/resolve/main/audit/split_report.json
11.6 kB
| { | |
| "benchmarks": { | |
| "egotempo": { | |
| "benchmark": "EgoTempo", | |
| "distributions": { | |
| "all": { | |
| "question_type": { | |
| "action sequence": 50, | |
| "action-specific object": 50, | |
| "counting actions": 50, | |
| "counting objects": 50, | |
| "future action prediction": 50, | |
| "locating object": 50, | |
| "object sequence": 50, | |
| "object-specific action": 50, | |
| "spatial relationship": 50, | |
| "temporal event ordering": 50 | |
| } | |
| }, | |
| "train": { | |
| "question_type": { | |
| "action sequence": 15, | |
| "action-specific object": 15, | |
| "counting actions": 15, | |
| "counting objects": 15, | |
| "future action prediction": 15, | |
| "locating object": 15, | |
| "object sequence": 15, | |
| "object-specific action": 15, | |
| "spatial relationship": 15, | |
| "temporal event ordering": 15 | |
| } | |
| }, | |
| "validation": { | |
| "question_type": { | |
| "action sequence": 35, | |
| "action-specific object": 35, | |
| "counting actions": 35, | |
| "counting objects": 35, | |
| "future action prediction": 35, | |
| "locating object": 35, | |
| "object sequence": 35, | |
| "object-specific action": 35, | |
| "spatial relationship": 35, | |
| "temporal event ordering": 35 | |
| } | |
| } | |
| }, | |
| "group_overlap": 0, | |
| "total_groups": 222, | |
| "total_rows": 500, | |
| "train_fraction": 0.3, | |
| "train_groups": 62, | |
| "train_rows": 150, | |
| "validation_groups": 160, | |
| "validation_rows": 350 | |
| }, | |
| "longvideobench": { | |
| "benchmark": "LongVideoBench", | |
| "distributions": { | |
| "all": { | |
| "duration_group": { | |
| "15": 189, | |
| "3600": 564, | |
| "60": 172, | |
| "600": 412 | |
| }, | |
| "level": { | |
| "L1-Perception": 625, | |
| "L2-Relation": 712 | |
| }, | |
| "question_category": { | |
| "E2O": 65, | |
| "E3E": 94, | |
| "O2E": 87, | |
| "O3O": 66, | |
| "S2A": 88, | |
| "S2E": 93, | |
| "S2O": 72, | |
| "SAA": 72, | |
| "SOS": 81, | |
| "SSS": 97, | |
| "T2A": 79, | |
| "T2E": 65, | |
| "T2O": 76, | |
| "T3E": 73, | |
| "T3O": 74, | |
| "TAA": 82, | |
| "TOS": 73 | |
| }, | |
| "topic_category": { | |
| "KA-Knowledge-Art": 142, | |
| "KC-Knowledge-Computer-Science": 75, | |
| "KG-Knowledge-Geography": 124, | |
| "KH-Knowledge-History": 147, | |
| "KS-Knowledge-STEM": 111, | |
| "LC-Lifestyle-Cooking-Recipes": 146, | |
| "LT-Lifestyle-Travel-Guides": 150, | |
| "LV-Lifestyle-Life-Vlogs": 169, | |
| "NP-News-Programs": 121, | |
| "Recreational: MR-Movie-Recaps": 152 | |
| } | |
| }, | |
| "train": { | |
| "duration_group": { | |
| "15": 64, | |
| "3600": 153, | |
| "60": 58, | |
| "600": 126 | |
| }, | |
| "level": { | |
| "L1-Perception": 187, | |
| "L2-Relation": 214 | |
| }, | |
| "question_category": { | |
| "E2O": 19, | |
| "E3E": 28, | |
| "O2E": 26, | |
| "O3O": 20, | |
| "S2A": 26, | |
| "S2E": 28, | |
| "S2O": 22, | |
| "SAA": 22, | |
| "SOS": 24, | |
| "SSS": 29, | |
| "T2A": 24, | |
| "T2E": 19, | |
| "T2O": 23, | |
| "T3E": 22, | |
| "T3O": 22, | |
| "TAA": 25, | |
| "TOS": 22 | |
| }, | |
| "topic_category": { | |
| "KA-Knowledge-Art": 42, | |
| "KC-Knowledge-Computer-Science": 23, | |
| "KG-Knowledge-Geography": 37, | |
| "KH-Knowledge-History": 44, | |
| "KS-Knowledge-STEM": 34, | |
| "LC-Lifestyle-Cooking-Recipes": 44, | |
| "LT-Lifestyle-Travel-Guides": 45, | |
| "LV-Lifestyle-Life-Vlogs": 51, | |
| "NP-News-Programs": 36, | |
| "Recreational: MR-Movie-Recaps": 45 | |
| } | |
| }, | |
| "validation": { | |
| "duration_group": { | |
| "15": 125, | |
| "3600": 411, | |
| "60": 114, | |
| "600": 286 | |
| }, | |
| "level": { | |
| "L1-Perception": 438, | |
| "L2-Relation": 498 | |
| }, | |
| "question_category": { | |
| "E2O": 46, | |
| "E3E": 66, | |
| "O2E": 61, | |
| "O3O": 46, | |
| "S2A": 62, | |
| "S2E": 65, | |
| "S2O": 50, | |
| "SAA": 50, | |
| "SOS": 57, | |
| "SSS": 68, | |
| "T2A": 55, | |
| "T2E": 46, | |
| "T2O": 53, | |
| "T3E": 51, | |
| "T3O": 52, | |
| "TAA": 57, | |
| "TOS": 51 | |
| }, | |
| "topic_category": { | |
| "KA-Knowledge-Art": 100, | |
| "KC-Knowledge-Computer-Science": 52, | |
| "KG-Knowledge-Geography": 87, | |
| "KH-Knowledge-History": 103, | |
| "KS-Knowledge-STEM": 77, | |
| "LC-Lifestyle-Cooking-Recipes": 102, | |
| "LT-Lifestyle-Travel-Guides": 105, | |
| "LV-Lifestyle-Life-Vlogs": 118, | |
| "NP-News-Programs": 85, | |
| "Recreational: MR-Movie-Recaps": 107 | |
| } | |
| } | |
| }, | |
| "group_overlap": 0, | |
| "total_groups": 753, | |
| "total_rows": 1337, | |
| "train_fraction": 0.299925205684368, | |
| "train_groups": 237, | |
| "train_rows": 401, | |
| "validation_groups": 516, | |
| "validation_rows": 936 | |
| }, | |
| "videomme": { | |
| "benchmark": "Video-MME", | |
| "distributions": { | |
| "all": { | |
| "domain": { | |
| "Artistic Performance": 360, | |
| "Film & Television": 360, | |
| "Knowledge": 810, | |
| "Life Record": 630, | |
| "Multilingual": 90, | |
| "Sports Competition": 450 | |
| }, | |
| "duration": { | |
| "long": 900, | |
| "medium": 900, | |
| "short": 900 | |
| }, | |
| "sub_category": { | |
| "Acrobatics": 90, | |
| "Animation": 90, | |
| "Astronomy": 90, | |
| "Athletics": 90, | |
| "Basketball": 90, | |
| "Biology & Medicine": 90, | |
| "Daily Life": 90, | |
| "Documentary": 90, | |
| "Esports": 90, | |
| "Exercise": 90, | |
| "Fashion": 90, | |
| "Finance & Commerce": 90, | |
| "Food": 90, | |
| "Football": 90, | |
| "Geography": 90, | |
| "Handicraft": 90, | |
| "Humanity & History": 90, | |
| "Law": 90, | |
| "Life Tip": 90, | |
| "Literature & Art": 90, | |
| "Magic Show": 90, | |
| "Movie & TV Show": 90, | |
| "Multilingual": 90, | |
| "News Report": 90, | |
| "Other Sports": 90, | |
| "Pet & Animal": 90, | |
| "Stage Play": 90, | |
| "Technology": 90, | |
| "Travel": 90, | |
| "Variety Show": 90 | |
| }, | |
| "task_type": { | |
| "Action Reasoning": 285, | |
| "Action Recognition": 313, | |
| "Attribute Perception": 222, | |
| "Counting Problem": 268, | |
| "Information Synopsis": 323, | |
| "OCR Problems": 139, | |
| "Object Reasoning": 454, | |
| "Object Recognition": 354, | |
| "Spatial Perception": 54, | |
| "Spatial Reasoning": 56, | |
| "Temporal Perception": 55, | |
| "Temporal Reasoning": 177 | |
| } | |
| }, | |
| "train": { | |
| "domain": { | |
| "Artistic Performance": 108, | |
| "Film & Television": 108, | |
| "Knowledge": 243, | |
| "Life Record": 189, | |
| "Multilingual": 27, | |
| "Sports Competition": 135 | |
| }, | |
| "duration": { | |
| "long": 270, | |
| "medium": 270, | |
| "short": 270 | |
| }, | |
| "sub_category": { | |
| "Acrobatics": 27, | |
| "Animation": 27, | |
| "Astronomy": 27, | |
| "Athletics": 27, | |
| "Basketball": 27, | |
| "Biology & Medicine": 27, | |
| "Daily Life": 27, | |
| "Documentary": 27, | |
| "Esports": 27, | |
| "Exercise": 27, | |
| "Fashion": 27, | |
| "Finance & Commerce": 27, | |
| "Food": 27, | |
| "Football": 27, | |
| "Geography": 27, | |
| "Handicraft": 27, | |
| "Humanity & History": 27, | |
| "Law": 27, | |
| "Life Tip": 27, | |
| "Literature & Art": 27, | |
| "Magic Show": 27, | |
| "Movie & TV Show": 27, | |
| "Multilingual": 27, | |
| "News Report": 27, | |
| "Other Sports": 27, | |
| "Pet & Animal": 27, | |
| "Stage Play": 27, | |
| "Technology": 27, | |
| "Travel": 27, | |
| "Variety Show": 27 | |
| }, | |
| "task_type": { | |
| "Action Reasoning": 86, | |
| "Action Recognition": 94, | |
| "Attribute Perception": 67, | |
| "Counting Problem": 80, | |
| "Information Synopsis": 97, | |
| "OCR Problems": 42, | |
| "Object Reasoning": 136, | |
| "Object Recognition": 106, | |
| "Spatial Perception": 16, | |
| "Spatial Reasoning": 17, | |
| "Temporal Perception": 16, | |
| "Temporal Reasoning": 53 | |
| } | |
| }, | |
| "validation": { | |
| "domain": { | |
| "Artistic Performance": 252, | |
| "Film & Television": 252, | |
| "Knowledge": 567, | |
| "Life Record": 441, | |
| "Multilingual": 63, | |
| "Sports Competition": 315 | |
| }, | |
| "duration": { | |
| "long": 630, | |
| "medium": 630, | |
| "short": 630 | |
| }, | |
| "sub_category": { | |
| "Acrobatics": 63, | |
| "Animation": 63, | |
| "Astronomy": 63, | |
| "Athletics": 63, | |
| "Basketball": 63, | |
| "Biology & Medicine": 63, | |
| "Daily Life": 63, | |
| "Documentary": 63, | |
| "Esports": 63, | |
| "Exercise": 63, | |
| "Fashion": 63, | |
| "Finance & Commerce": 63, | |
| "Food": 63, | |
| "Football": 63, | |
| "Geography": 63, | |
| "Handicraft": 63, | |
| "Humanity & History": 63, | |
| "Law": 63, | |
| "Life Tip": 63, | |
| "Literature & Art": 63, | |
| "Magic Show": 63, | |
| "Movie & TV Show": 63, | |
| "Multilingual": 63, | |
| "News Report": 63, | |
| "Other Sports": 63, | |
| "Pet & Animal": 63, | |
| "Stage Play": 63, | |
| "Technology": 63, | |
| "Travel": 63, | |
| "Variety Show": 63 | |
| }, | |
| "task_type": { | |
| "Action Reasoning": 199, | |
| "Action Recognition": 219, | |
| "Attribute Perception": 155, | |
| "Counting Problem": 188, | |
| "Information Synopsis": 226, | |
| "OCR Problems": 97, | |
| "Object Reasoning": 318, | |
| "Object Recognition": 248, | |
| "Spatial Perception": 38, | |
| "Spatial Reasoning": 39, | |
| "Temporal Perception": 39, | |
| "Temporal Reasoning": 124 | |
| } | |
| } | |
| }, | |
| "group_overlap": 0, | |
| "total_groups": 900, | |
| "total_rows": 2700, | |
| "train_fraction": 0.3, | |
| "train_groups": 270, | |
| "train_rows": 810, | |
| "validation_groups": 630, | |
| "validation_rows": 1890 | |
| } | |
| }, | |
| "format_version": 1, | |
| "public_build_includes_videomme_records": false, | |
| "seed": "MMV-dataset-v1-2026-09-04", | |
| "split_policy": "exact 30/70 by rows, isolated by video group" | |
| } | |