{
 "id": "VCLab-PolyU/OmniCompass",
 "owner": "VCLab-PolyU",
 "name": "OmniCompass",
 "downloads": 2948,
 "likes": 7,
 "last_modified": "2026-10-29T07:34:26.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "visual-question-answering",
  "video-text-to-text"
 ],
 "citation": "@article{liu2026omnicompass,\n  title={OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding},\n  author={Liu, Xuyang and Wang, Shihao and Wei, Xinyu and Li, Minghan and Wang, Zeqing and Yang, Zuhao and Wen, Zichen and Zhang, Lei},\n  journal={arXiv preprint arXiv:2610.18829},\n  year={2026}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "786ce78eaed2eb5921ea04600f4bd1fb79cba45a",
 "stated_evidence": "https://huggingface.co/datasets/VCLab-PolyU/OmniCompass/blob/786ce78eaed2eb5921ea04600f4bd1fb79cba45a/README.md",
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}