Datasets:

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

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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: other
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+ bigbio_license_shortname: UNKNOWN
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+ multilinguality: monolingual
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+ pretty_name: Bio-ID
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+ homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vi/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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+ - NAMED_ENTITY_DISAMBIGUATION
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+ ---
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+
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+
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+ # Dataset Card for Bio-ID
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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-vi/track-1/
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+ - **Pubmed:** True
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+ - **Public:** True
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+ - **Tasks:** NER,NED
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+
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+
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+ The Bio-ID track focuses on entity tagging and ID assignment to selected bioentity types.
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+ The task is to annotate text from figure legends with the entity types and IDs for taxon (organism), gene, protein, miRNA, small molecules,
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+ cellular components, cell types and cell lines, tissues and organs. The track draws on SourceData annotated figure
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+ legends (by panel), in BioC format, and the corresponding full text articles (also BioC format) provided for context.
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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{arighi2017bio,
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+ title={Bio-ID track overview},
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+ author={Arighi, Cecilia and Hirschman, Lynette and Lemberger, Thomas and Bayer, Samuel and Liechti, Robin and Comeau, Donald and Wu, Cathy},
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+ booktitle={Proc. BioCreative Workshop},
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+ volume={482},
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+ pages={376},
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+ year={2017}
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+ }
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+ ```