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upload hub_repos/drugprot/README.md to hub from bigbio repo
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README.md
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---
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language:
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- en
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bigbio_language:
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- English
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license: cc-by-4.0
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multilinguality: monolingual
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bigbio_license_shortname: CC_BY_4p0
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pretty_name: DrugProt
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homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/
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bigbio_pubmed: True
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bigbio_public: True
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bigbio_tasks:
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- NAMED_ENTITY_RECOGNITION
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- RELATION_EXTRACTION
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---
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# Dataset Card for DrugProt
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## Dataset Description
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- **Homepage:** https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/
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- **Pubmed:** True
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- **Public:** True
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- **Tasks:** NER,RE
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The DrugProt corpus consists of a) expert-labelled chemical and gene mentions, and (b) all binary relationships
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between them corresponding to a specific set of biologically relevant relation types. The corpus was introduced
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in context of the BioCreative VII Track 1 (Text mining drug and chemical-protein interactions).
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## Citation Information
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```
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@inproceedings{miranda2021overview,
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title={Overview of DrugProt BioCreative VII track: quality evaluation and large scale text mining of \
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drug-gene/protein relations},
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author={Miranda, Antonio and Mehryary, Farrokh and Luoma, Jouni and Pyysalo, Sampo and Valencia, Alfonso \
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and Krallinger, Martin},
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booktitle={Proceedings of the seventh BioCreative challenge evaluation workshop},
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year={2021}
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}
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```
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