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SurgVLM Video Benchmark
Held-out video eval set for SurgVLM-style surgical video tasks. Each QA row is paired with an MP4 clip (the listed frames encoded in order).
- 36 tasks, 200 QA rows each = 7,200 rows
- 6,512 MP4 clips (rows can share a clip)
This is an evaluation benchmark. Do not train or fine-tune on it.
Contents
| Path | What |
|---|---|
*_bench.jsonl |
Per-task QA (200 rows each). Rows list image_paths; they do not store video_path. |
row_media_map.jsonl |
Eval join: task + id/line -> media_uid + video_path |
media/ |
MP4 clips + media_index.jsonl (one line per clip) |
rationale/ |
Sidecars for the seven *_rationale tasks |
video_path is relative to this repo root, e.g. media/GraSP/GraSP_CASE041_002476-002485_n10.mp4.
Join
task + id -> row_media_map.jsonl -> video_path -> media/*.mp4
Clip identity is media_uid (SHA-256 of {image_paths, clip_duration_sec, fps}). Multiple QA rows can share one clip.
Download
hf download yangd05/SurgVLM-Video-Benchmark --repo-type dataset --local-dir SurgVLM-Video-Benchmark
If you hit Xet Runtime Error / Task Panic, retry with HF_HUB_DISABLE_XET=1.
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