{
 "id": "win7win/rap-benchmark-data",
 "owner": "win7win",
 "name": "rap-benchmark-data",
 "downloads": 485,
 "likes": 0,
 "last_modified": "2026-09-20T07:08:17.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "rap-benchmark-composite-license",
 "licence_link": "LICENSE",
 "file_licence": "cc-by-4.0",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@misc{wu2026rap,\n  title  = {RAP: Research Attention Prediction Reveals Target-Conditioned Evidence Acquisition Biases},\n  author = {Wu, Yingqian and Liang, Jingcong and Wang, Siyuan and Yin, Zhenfei\n            and Torr, Philip and Yu, Junchi and Wei, Zhongyu},\n  year   = {2026},\n  url    = {https://arxiv.org/abs/2609.10092}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "f8304709405beb822dadac4c3b578e7034380895",
 "stated_evidence": "https://huggingface.co/datasets/win7win/rap-benchmark-data/blob/f8304709405beb822dadac4c3b578e7034380895/README.md",
 "file_evidence": "https://huggingface.co/datasets/win7win/rap-benchmark-data/blob/f8304709405beb822dadac4c3b578e7034380895/LICENSE",
 "card_nc": false
}