Datasets:

Languages:
English
License:
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upload hub_repos/drugprot/README.md to hub from bigbio repo

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+
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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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+
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+
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+ # Dataset Card for DrugProt
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+
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+ ## Dataset Description
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+
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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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+
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+
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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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+
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+
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+
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+ ## Citation Information
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+
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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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+ ```