{
 "id": "abdoelsayed/FutureQueryEval",
 "owner": "abdoelsayed",
 "name": "FutureQueryEval",
 "downloads": 115,
 "likes": 2,
 "last_modified": "2025-08-28T16:01:23.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-retrieval"
 ],
 "citation": "@misc{abdallah2025good,\n    title={How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models},\n    author={Abdelrahman Abdallah and Bhawna Piryani and Jamshid Mozafari and Mohammed Ali and Adam Jatowt},\n    year={2025},\n    eprint={2508.16757},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "e57e5b2566531feaeff52f4a83a37cea060e8dd6",
 "stated_evidence": "https://huggingface.co/datasets/abdoelsayed/FutureQueryEval/blob/e57e5b2566531feaeff52f4a83a37cea060e8dd6/README.md",
 "file_evidence": "https://huggingface.co/datasets/abdoelsayed/FutureQueryEval/tree/e57e5b2566531feaeff52f4a83a37cea060e8dd6",
 "card_nc": false
}