README.md

metadata

license: cc-by-nc-sa-4.0
language:
  - en
pretty_name: AVSCapBench
tags:
  - video-captioning
  - audio-visual
  - omni-modal
  - event-recall
  - benchmark
size_categories:
  - 1K<n<10K

AVSCapBench

   

AVSCapBench contains 1,226 manually annotated omni-modal video clips. Each sample includes a dense caption, visual events, audio events split into speech, music, and sfx, and audio-visual synergistic events.

Download

hf download NJU-LINK/AVSCapBench --repo-type dataset --local-dir AVSCapBench

Structure

videos/
  1.mp4
  2.mp4
  ...
metadata.jsonl
metadata/
  OmniCaption.json

metadata.jsonl is provided for the Hugging Face Dataset Viewer. It links each video with its annotations through the file_name field.

AVSCapBench

AVSCapBench contains 1,226 manually annotated omni-modal video clips. The dataset release includes the videos and the complete ground-truth file OmniCaption.json.

Each annotation item has the following structure:

{
  "video_id": 1,
  "video_path": "./videos/1.mp4",
  "caption": "...",
  "event": {
    "visual_events": [],
    "audio_events": {
      "speech": [],
      "music": [],
      "sfx": []
    },
    "synergistic_events": []
  },
  "visual_caption": "..."
}

AVSCapBench provides longer, denser, and more audio-rich captions than existing audio-visual captioning benchmarks.

Main Annotation File

metadata/OmniCaption.json is the full ground-truth file. Each record contains:

• video_id: numeric id matching videos/{video_id}.mp4
• video_path: relative video path
• caption: dense omni-modal caption
• event.visual_events: visual checklist
• event.audio_events.speech: speech checklist
• event.audio_events.music: music checklist
• event.audio_events.sfx: sound-effect checklist
• event.synergistic_events: audio-visual binding checklist
• visual_caption: visual-only caption

Use With Evaluation Code

Use this dataset folder together with the GitHub release folder:

python evaluation/evaluate_avscapbench.py \
  --gt AVSCapBench/metadata/OmniCaption.json \
  --videos-dir AVSCapBench/videos \
  --captions-dir model_captions \
  --output-dir results/eval

License

Our dataset is under the CC-BY-NC-SA-4.0 license.