{
 "id": "jaypee01/PubMedCausal",
 "owner": "jaypee01",
 "name": "PubMedCausal",
 "downloads": 213,
 "likes": 0,
 "last_modified": "2026-10-06T13:02:30.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": "mit",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification",
  "token-classification"
 ],
 "citation": "@article{kunlejohn2026pubmedcausal,\n  title={PubMedCausal: A Span-Level Annotated Corpus for Causal Relation Extraction in Biomedical Text},\n  author={Kunle-John, Ifeoluwa and Paul, Josiah and Agbaakin, Oluwatosin and Aina, Peter and Odezuligbo, Ikenna and Anuyah, Sydney},\n  journal={arXiv preprint arXiv:2605.28363},\n  year={2026}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
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}