{
 "id": "AnonymousARR42/EMEA",
 "owner": "AnonymousARR42",
 "name": "EMEA",
 "downloads": 60,
 "likes": 0,
 "last_modified": "2026-05-06T17:40:26.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification",
  "text-generation",
  "zero-shot-classification",
  "token-classification"
 ],
 "citation": "@InProceedings{neveol14quaero, \n  author = {Névéol, Aurélie and Grouin, Cyril and Leixa, Jeremy \n            and Rosset, Sophie and Zweigenbaum, Pierre},\n  title = {The {QUAERO} {French} Medical Corpus: A Ressource for\n           Medical Entity Recognition and Normalization}, \n  OPTbooktitle = {Proceedings of the Fourth Workshop on Building \n                 and Evaluating Ressources for Health and Biomedical \n                 Text Processing}, \n  booktitle = {Proc of BioTextMining Work}, \n  OPTseries = {BioTxtM 2014}, \n  year = {2014}, \n  pages = {24--30}, \n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "e4fb165743a4a04a0e00c12e5098e72a71a163f5",
 "stated_evidence": "https://huggingface.co/datasets/AnonymousARR42/EMEA/blob/e4fb165743a4a04a0e00c12e5098e72a71a163f5/README.md",
 "file_evidence": "https://huggingface.co/datasets/AnonymousARR42/EMEA/tree/e4fb165743a4a04a0e00c12e5098e72a71a163f5",
 "card_nc": false
}