metadata

language:
  - en
bigbio_language:
  - English
license: other
multilinguality: monolingual
bigbio_license_shortname: PUBLIC_DOMAIN_MARK_1p0
pretty_name: BC5CDR
homepage: http://www.biocreative.org/tasks/biocreative-v/track-3-cdr/
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
  - NAMED_ENTITY_RECOGNITION
  - NAMED_ENTITY_DISAMBIGUATION
  - RELATION_EXTRACTION

Dataset Card for BC5CDR

Dataset Description

Homepage: http://www.biocreative.org/tasks/biocreative-v/track-3-cdr/
Pubmed: True
Public: True
Tasks: NER,NED,RE

The BioCreative V Chemical Disease Relation (CDR) dataset is a large annotated text corpus of human annotations of all chemicals, diseases and their interactions in 1,500 PubMed articles.

Citation Information

@article{DBLP:journals/biodb/LiSJSWLDMWL16,
  author    = {Jiao Li and
               Yueping Sun and
               Robin J. Johnson and
               Daniela Sciaky and
               Chih{-}Hsuan Wei and
               Robert Leaman and
               Allan Peter Davis and
               Carolyn J. Mattingly and
               Thomas C. Wiegers and
               Zhiyong Lu},
  title     = {BioCreative {V} {CDR} task corpus: a resource for chemical disease
               relation extraction},
  journal   = {Database J. Biol. Databases Curation},
  volume    = {2016},
  year      = {2016},
  url       = {https://doi.org/10.1093/database/baw068},
  doi       = {10.1093/database/baw068},
  timestamp = {Thu, 13 Aug 2020 12:41:41 +0200},
  biburl    = {https://dblp.org/rec/journals/biodb/LiSJSWLDMWL16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}