VCBench / dataset_info.json
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{
"dataset_name": "VCBench Clipped Videos",
"version": "1.0",
"total_clips": 4574,
"total_size_gb": 80,
"categories": {
"O1-Snap": {
"description": "Current-state snapshot counting",
"clips": 252,
"multi_query": true
},
"O1-Delta": {
"description": "Current-state delta counting",
"clips": 98,
"multi_query": false
},
"O2-Unique": {
"description": "Global unique identity tracking",
"clips": 1869,
"multi_query": true
},
"O2-Gain": {
"description": "Windowed gain counting",
"clips": 78,
"multi_query": false
},
"E1-Action": {
"description": "Instantaneous action counting",
"clips": 1281,
"multi_query": true
},
"E1-Transit": {
"description": "State transition counting",
"clips": 205,
"multi_query": true
},
"E2-Periodic": {
"description": "Periodic action counting",
"clips": 511,
"multi_query": true
},
"E2-Episode": {
"description": "Episodic segment counting",
"clips": 280,
"multi_query": true
}
},
"video_properties": {
"format": "MP4",
"codec": "H.264",
"encoding_method": "copy (lossless)",
"frame_rates": ["3fps", "24fps", "25fps", "30fps", "60fps"],
"duration_accuracy": "±0.1s"
},
"source_datasets": [
"YouTube",
"RoomTour3D",
"Ego4D",
"ScanNet",
"ScanNetPP",
"ARKitScenes",
"TOMATO",
"CODa",
"OmniWorld",
"Simulated"
],
"creation_date": "2026-03-01",
"quality_validated": true
}