v5: README.md
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README.md
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---
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license: other
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license_name: mixed-source-licenses
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license_link: https://huggingface.co/datasets/GMLRVigil/BenchCheck-MetaBenchmark#licences
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task_categories:
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- video-classification
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- visual-question-answering
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language:
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- en
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pretty_name: BenchCheck meta-benchmark (v5)
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size_categories:
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- n<1K
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---
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# BenchCheck meta-benchmark (v5)
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840 multiple-choice video questions from 76 public video benchmarks, one item per video,
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four capability groups x 210 (Perception, Temporal, Spatial / physical, Reasoning / knowledge). The set is the
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difficulty-first census of the BenchCheck screened pool: items that none of the cheap attackers of the pool screening
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(text-only, single frame, 32-frame 2B model, options-only, shuffled frames) could solve, ranked by the worst-case attacker
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percentile, with the marked answers verified against the frames and the reference model's share of correct answers capped.
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## Construction (five steps; details in the paper appendix)
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1. Candidates: the screened pool; the 3,000 items with the smallest worst-case attacker percentile (one per video).
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2. Capability labels: Claude Opus 5 assigns one of 18 fine categories from the question, options and gold answer; the
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categories map to the four groups.
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3. Verification of the marked answer: Claude Opus 5 reads the frames (32, then 512 for unconfirmed items), the question,
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the options and the marked answer and returns supported / contradicted / not verifiable / definition dependent. Kept:
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supported; reversed clips (AoTBench RTime, TempCompass direction); not verifiable on videos >= 60 s. Dropped:
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contradicted; definition dependent; not verifiable on videos < 60 s. Ordering questions whose options are the events
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themselves are excluded (not scorable as single choice).
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3b. Selection with a reference cap: per group the verified items in worst-case percentile order until 210, with at most
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94 (45%) that the reference model (Claude Opus 5, VIDEO protocol) answers correctly.
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4. Protocols: VIDEO (1 fps, <= 512 frames, short side 224) and BLIND (question + options, 4 permutations); see code/prompt.md.
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Version v5: final composition.
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## Files
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- `items/meta_benchmark.jsonl`: one line per item (fields: item_id, benchmark, capability_group, fine_category, question,
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options, answer, answer_idx, chance, video, video_id, duration_s, attack_pct, verification, source_version, license).
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- `items/summary.json`: counts per group, benchmark and verification reason.
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- `videos/<video_id>.mp4`: normalized videos (840 files; H.264, at most 1,024 stored frames per video).
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- `code/prompt.md`: the exact prompts and the scoring rule.
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- `results/leaderboard.csv`: current leaderboard (Overall = VIDEO, Blind, Gain, per-group accuracy; n = items scored).
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## Composition
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Groups: {'perception': 210, 'temporal': 210, 'spatial_physical': 210, 'reasoning_knowledge': 210}. Largest sources: {'S-EMBER': 120, 'AoTBench': 87, 'ALLVB': 45, 'UrbanVideo-Bench': 34, 'TOC-Bench': 32, 'Video-MME-v2': 31, 'Camera Movement Understanding (BU_Google)': 31, 'VideoOdyssey': 30}.
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Verification reasons: {'reversed_clip': 85, 'supported': 500, 'not_verifiable_long': 255}. Median duration 52 s; 299 videos >= 300 s;
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mean chance 29.3%.
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## Licences
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Every item keeps the licence of its source benchmark (field `license`; {'unknown': 183, 'CC-BY-4.0': 62, '': 42, 'custom': 62, 'CC-BY-NC-SA-4.0': 141, 'MIT': 103, 'CC-BY-NC-4.0': 161, 'Apache-2.0': 78, 'CC-BY-SA-4.0': 7, 'CC-BY-NC-ND-4.0': 1}). Items are redistributed for
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research evaluation only; check the source benchmark's terms before any other use.
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