{
 "id": "GrimSqueaker/ProFET_NP_SP_Cleaved",
 "owner": "GrimSqueaker",
 "name": "ProFET_NP_SP_Cleaved",
 "downloads": 32,
 "likes": 2,
 "last_modified": "2026-04-07T11:35:20.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "@article{10.1093/bioinformatics/btac020,\n    author = {Brandes, Nadav and Ofer, Dan and Peleg, Yam and Rappoport, Nadav and Linial, Michal},\n    title = {ProteinBERT: a universal deep-learning model of protein sequence and function},\n    journal = {Bioinformatics},\n    volume = {38},\n    number = {8},\n    pages = {2102-2110},\n    year = {2022},\n    doi = {10.1093/bioinformatics/btac020}\n}\n\n@article{OferD2014,\n    author = {Ofer, Dan and Linial, Michal},\n    title = {NeuroPID: a predictor for identifying neuropeptide precursors from metazoan proteomes},\n    journal = {Bioinformatics},\n    volume = {30},\n    number = {7},\n    pages = {931--940},\n    year = {2014},\n    doi = {10.1093/bioinformatics/btt725}\n}\n\n@article{Karsenty2014,\n    author = {Karsenty, S. and Rappoport, N. and Ofer, D. and Zair, A. and Linial, M.},\n    title = {NeuroPID: a classifier of neuropeptide precursors},\n    journal = {Nucleic Acids Research},\n    year = {2014},\n    doi = {10.1093/nar/gku363}\n}\n\n@article{Brandes2016,\n    author = {Brandes, Nadav and Ofer, Dan and Linial, Michal},\n    title = {ASAP: A machine learning framework for local protein properties},\n    journal = {Database},\n    volume = {2016},\n    year = {2016},\n    doi = {10.1093/database/baw133}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "19d8880a1d803b14cce47ccabc335897ee9c76a2",
 "stated_evidence": "https://huggingface.co/datasets/GrimSqueaker/ProFET_NP_SP_Cleaved/blob/19d8880a1d803b14cce47ccabc335897ee9c76a2/README.md",
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 "card_nc": false
}