{
 "id": "maomlab/MolData",
 "owner": "maomlab",
 "name": "MolData",
 "downloads": 68,
 "likes": 1,
 "last_modified": "2025-05-28T20:13:04.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "tabular-classification"
 ],
 "citation": "@article{KeshavarziArshadi2022,\n title = {MolData,  a molecular benchmark for disease and target based machine learning},\n volume = {14},\n ISSN = {1758-2946},\n url = {http://dx.doi.org/10.1186/s13321-022-00590-y},\n DOI = {10.1186/s13321-022-00590-y},\n number = {1},\n journal = {Journal of Cheminformatics},\n publisher = {Springer Science and Business Media LLC},\n author = {Keshavarzi Arshadi,  Arash and Salem,  Milad and Firouzbakht,  Arash and Yuan,  Jiann Shiun},\n year = {2022},\n month = mar \n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-sa-4.0) is classified as share-alike.",
 "revision": "49c0a36ec85f4eb710fcba505b6fd7c1fe481d12",
 "stated_evidence": "https://huggingface.co/datasets/maomlab/MolData/blob/49c0a36ec85f4eb710fcba505b6fd7c1fe481d12/README.md",
 "file_evidence": "https://huggingface.co/datasets/maomlab/MolData/tree/49c0a36ec85f4eb710fcba505b6fd7c1fe481d12",
 "card_nc": false
}