multilinguality:monolingual language:en license:cc-by-4.0 region:us
The DrugProt corpus consists of a) expert-labelled chemical and gene mentions, and (b) all binary relationships between them corresponding to a specific set of biologically relevant relation types.
@inproceedings{miranda2021overview,
  title={Overview of DrugProt BioCreative VII track: quality evaluation and large scale text mining of         drug-gene/protein relations},
  author={Miranda, Antonio and Mehryary, Farrokh and Luoma, Jouni and Pyysalo, Sampo and Valencia, Alfonso         and Krallinger, Martin},
  booktitle={Proceedings of the seventh BioCreative challenge evaluation workshop},
  year={2021}
}

---
language: 
- en
bigbio_language: 
- English
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: DrugProt
homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks: 
- NAMED_ENTITY_RECOGNITION
- RELATION_EXTRACTION
---


# Dataset Card for DrugProt

## Dataset Description

- **Homepage:** https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,RE


The DrugProt corpus consists of a) expert-labelled chemical and gene mentions, and (b) all binary relationships
between them corresponding to a specific set of biologically relevant relation types. The corpus was introduced
in context of the BioCreative VII Track 1 (Text mining drug and chemical-protein interactions).



## Citation Information

```
@inproceedings{miranda2021overview,
  title={Overview of DrugProt BioCreative VII track: quality evaluation and large scale text mining of \
        drug-gene/protein relations},
  author={Miranda, Antonio and Mehryary, Farrokh and Luoma, Jouni and Pyysalo, Sampo and Valencia, Alfonso \
        and Krallinger, Martin},
  booktitle={Proceedings of the seventh BioCreative challenge evaluation workshop},
  year={2021}
}

```
