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---
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}
}
```
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