{
 "id": "DFKI-SLT/MedDistant19",
 "owner": "DFKI-SLT",
 "name": "MedDistant19",
 "downloads": 40,
 "likes": 1,
 "last_modified": "2024-05-22T13:07:41.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [
  {
   "id": "PubMed",
   "licence": "other",
   "found": true,
   "evidence": "https://huggingface.co/datasets/ncbi/pubmed/blob/8263182bec2a83be3f73706759adada1e1bfe3c6/README.md"
  },
  {
   "id": "UMLS",
   "licence": null,
   "found": false,
   "evidence": "https://huggingface.co/datasets/UMLS"
  }
 ],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->\n\n**BibTeX:**\n\n```tex\n@inproceedings{amin-etal-2022-meddistant19,\n    title = \"{M}ed{D}istant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction\",\n    author = \"Amin, Saadullah and Minervini, Pasquale and Chang, David and Stenetorp, Pontus and Neumann, G{\\\"u}nter\",\n    booktitle = \"Proceedings of the 29th International Conference on Computational Linguistics\",\n    month = oct,\n    year = \"2022\",\n    address = \"Gyeongju, Republic of Korea\",\n    publisher = \"International Committee on Computational Linguistics\",\n    url = \"https://aclanthology.org/2022.coling-1.198\",\n    pages = \"2259--2277\",\n}\n```\n\n**APA:**\n\nAmin, S., Minervini, P., Chang, D., Stenetorp, P., & Neumann, G. (2022). Meddistant19: towards an accurate benchmark for broad-coverage biomedical relation extraction. arXiv preprint arXiv:2204.04779.",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "5c1ddd867968326b78f14ff9a607f12a47eb4599",
 "stated_evidence": "https://huggingface.co/datasets/DFKI-SLT/MedDistant19/blob/5c1ddd867968326b78f14ff9a607f12a47eb4599/README.md",
 "file_evidence": "https://huggingface.co/datasets/DFKI-SLT/MedDistant19/tree/5c1ddd867968326b78f14ff9a607f12a47eb4599",
 "card_nc": false
}