---

language:

• en bigbio_language:
• English license: cc-by-4.0 multilinguality: monolingual bigbio_license_shortname: CC_BY_4p0 pretty_name: DrugProt homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/ bigbio_pubmed: True bigbio_public: True bigbio_tasks:
• NAMED_ENTITY_RECOGNITION
• RELATION_EXTRACTION

---

Dataset Card for DrugProt

Dataset Description

• Homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/
• Pubmed: True
• Public: True
• Tasks: NER,RE

The DrugProt corpus consists of a) expert-labelled chemical and gene mentions, and (b) all binary relationships between them corresponding to a specific set of biologically relevant relation types. The corpus was introduced in context of the BioCreative VII Track 1 (Text mining drug and chemical-protein interactions).

Citation Information

@inproceedings{miranda2021overview,
  title={Overview of DrugProt BioCreative VII track: quality evaluation and large scale text mining of \
        drug-gene/protein relations},
  author={Miranda, Antonio and Mehryary, Farrokh and Luoma, Jouni and Pyysalo, Sampo and Valencia, Alfonso \
        and Krallinger, Martin},
  booktitle={Proceedings of the seventh BioCreative challenge evaluation workshop},
  year={2021}
}