metadata

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}
}