Add dataset viewer metadata

.gitattributes

@@ -1,3 +1,4 @@
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 metadata/OmniCaption.json filter=lfs diff=lfs merge=lfs -text
+metadata.jsonl filter=lfs diff=lfs merge=lfs -text
 assets/*.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,21 @@
+---
+license: cc-by-nc-sa-4.0
+language:
+- en
+pretty_name: AVSCapBench
+task_categories:
+- video-classification
+- text-generation
+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.
@@ -15,10 +33,13 @@ 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`.
@@ -79,6 +100,6 @@ python evaluation/evaluate_avscapbench.py \
   --output-dir results/eval
 ```
 
-## 📄 License
+## License
 
 Our dataset is under the CC-BY-NC-SA-4.0 license.

metadata.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26f329b154678ea60e05578d782705db982acedbf24425dbe2adc39dee43130e
+size 20828930