{
 "id": "AmazonScience/xtr-wiki_qa",
 "owner": "AmazonScience",
 "name": "xtr-wiki_qa",
 "downloads": 557,
 "likes": 5,
 "last_modified": "2023-07-24T17:32:38.000Z",
 "stated_licence": "cdla-permissive-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [
  "LICENSE.md"
 ],
 "sources": [
  {
   "id": "wiki_qa",
   "licence": "other",
   "found": true,
   "evidence": "https://huggingface.co/datasets/microsoft/wiki_qa/blob/3f104672b5de699878fe7907afc486f0de325eb5/README.md"
  }
 ],
 "gated": false,
 "tasks": [
  "question-answering",
  "text-retrieval"
 ],
 "citation": "@inproceedings{gupta2023cross-lingual,\n  title={{Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages}},\n  author={Gupta, Shivanshu and Matsubara, Yoshitomo and Chadha, Ankit and Moschitti, Alessandro},\n  booktitle={Findings of the Association for Computational Linguistics: ACL 2023},\n  pages={14078--14092},\n  year={2023}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "49cc4ceb83259714e032dcbe7ff3a7b018c52efc",
 "stated_evidence": "https://huggingface.co/datasets/AmazonScience/xtr-wiki_qa/blob/49cc4ceb83259714e032dcbe7ff3a7b018c52efc/README.md",
 "file_evidence": "https://huggingface.co/datasets/AmazonScience/xtr-wiki_qa/blob/49cc4ceb83259714e032dcbe7ff3a7b018c52efc/LICENSE.md",
 "card_nc": false
}