README.md

metadata

language:
  - en
bigbio_language:
  - English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: BioRED
homepage: https://ftp.ncbi.nlm.nih.gov/pub/lu/BioRED/
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
  - NAMED_ENTITY_RECOGNITION
  - RELATION_EXTRACTION

Dataset Card for BioRED

Dataset Description

• Homepage: https://ftp.ncbi.nlm.nih.gov/pub/lu/BioRED/
• Pubmed: True
• Public: True
• Tasks: NER,RE

Relation Extraction corpus with multiple entity types (e.g., gene/protein, disease, chemical) and relation pairs (e.g., gene-disease; chemical-chemical), on a set of 600 PubMed articles

Citation Information

@article{DBLP:journals/corr/abs-2204-04263,
  author    = {Ling Luo and
               Po{-}Ting Lai and
               Chih{-}Hsuan Wei and
               Cecilia N. Arighi and
               Zhiyong Lu},
  title     = {BioRED: {A} Comprehensive Biomedical Relation Extraction Dataset},
  journal   = {CoRR},
  volume    = {abs/2204.04263},
  year      = {2022},
  url       = {https://doi.org/10.48550/arXiv.2204.04263},
  doi       = {10.48550/arXiv.2204.04263},
  eprinttype = {arXiv},
  eprint    = {2204.04263},
  timestamp = {Wed, 11 May 2022 15:24:37 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2204-04263.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}