| 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} | |
| } | |
| ``` | |