{
 "id": "OraRL/OraRL-Data",
 "owner": "OraRL",
 "name": "OraRL-Data",
 "downloads": 3534,
 "likes": 1,
 "last_modified": "2026-08-27T06:46:35.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "video-text-to-text"
 ],
 "citation": "@article{li2026orarl,\n  title   = {Annotations as Rollouts: Efficient and Scalable\n             Reinforcement Learning for Video MLLMs},\n  author  = {Li, Yunheng and Mu, Guohong and Li, Hao and\n             Qian, Shengsheng and Zhang, Dingwen and Hou, Qibin\n             and Cheng, Ming-Ming},\n  journal = {arXiv preprint arXiv:2608.20492},\n  year    = {2026},\n  url     = {https://arxiv.org/abs/2608.20492}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "fbedaf6f6bcbd3339321fe2e6a8f202be45bad62",
 "stated_evidence": "https://huggingface.co/datasets/OraRL/OraRL-Data/blob/fbedaf6f6bcbd3339321fe2e6a8f202be45bad62/README.md",
 "file_evidence": "https://huggingface.co/datasets/OraRL/OraRL-Data/tree/fbedaf6f6bcbd3339321fe2e6a8f202be45bad62",
 "card_nc": false
}