README.md

metadata

language:
  - en
bigbio_language:
  - English
license: other
multilinguality: monolingual
bigbio_license_shortname: CC0
pretty_name: ChemDisGene
homepage: https://github.com/chanzuckerberg/ChemDisGene
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
  - RELATION_EXTRACTION
  - NAMED_ENTITY_RECOGNITION

Dataset Card for ChemProt

Dataset Description

• Homepage: https://github.com/chanzuckerberg/ChemDisGene
• Pubmed: True
• Public: True
• Tasks: RE,NER,NEN

This is a public release of the ChemDisGene dataset, a collection of biomedical research abstracts annotated with mentions of chemical, disease and gene/gene-product entities, and pairwise relationships between those entities.

Citation Information

@InProceedings{zhang-etal:2022:LREC,
  author = {Dongxu Zhang and Sunil Mohan and Michaela Torkar and Andrew McCallum},
  title = {A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes},
  booktitle = {Proceedings of The 13th Language Resources and Evaluation Conference},
  month = {June},
  year = {2022},
  address = {Marseille, France},
  publisher = {European Language Resources Association},
}