

# 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}
}

```

multilinguality:monolingual language:en license:unknown arxiv:2204.04263 region:us
{"language": ["en"], "license": "unknown", "multilinguality": "monolingual", "pretty_name": "BioRED", "bigbio_language": ["English"], "bigbio_license_shortname": "UNKNOWN", "homepage": "https://ftp.ncbi.nlm.nih.gov/pub/lu/BioRED/", "bigbio_pubmed": true, "bigbio_public": true, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION", "RELATION_EXTRACTION"]}
TAGS
#multilinguality-monolingual #language-English #license-unknown #arxiv-2204.04263 #region-us 



# Dataset Card for BioRED

## Dataset Description

- Homepage: URL
- 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







# Dataset Card for BioRED ## Dataset Description

- Homepage: URL
- 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
TAGS
#multilinguality-monolingual #language-English #license-unknown #arxiv-2204.04263 #region-us 
 # Dataset Card for BioRED ## Dataset Description

- Homepage: URL
- 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