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upload hub_repos/bioid/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: 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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# Dataset Card for Bio-ID
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## Dataset Description
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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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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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## Citation Information
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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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```
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