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Download README.md from bigbio/bioid: direct link, hf CLI and curl.
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https://huggingface.co/datasets/bigbio/bioid/resolve/main/README.md
- Command line
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hf download hf://datasets/bigbio/bioid/README.md
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curl -L -o README.md https://huggingface.co/datasets/bigbio/bioid/resolve/main/README.md
1.35 kB
| language: | |
| - en | |
| bigbio_language: | |
| - English | |
| license: other | |
| bigbio_license_shortname: UNKNOWN | |
| multilinguality: monolingual | |
| pretty_name: Bio-ID | |
| homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vi/track-1/ | |
| bigbio_pubmed: true | |
| bigbio_public: true | |
| bigbio_tasks: | |
| - NAMED_ENTITY_RECOGNITION | |
| - NAMED_ENTITY_DISAMBIGUATION | |
| # Dataset Card for Bio-ID | |
| ## Dataset Description | |
| - **Homepage:** https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vi/track-1/ | |
| - **Pubmed:** True | |
| - **Public:** True | |
| - **Tasks:** NER,NED | |
| The Bio-ID track focuses on entity tagging and ID assignment to selected bioentity types. | |
| The task is to annotate text from figure legends with the entity types and IDs for taxon (organism), gene, protein, miRNA, small molecules, | |
| cellular components, cell types and cell lines, tissues and organs. The track draws on SourceData annotated figure | |
| legends (by panel), in BioC format, and the corresponding full text articles (also BioC format) provided for context. | |
| ## Citation Information | |
| ``` | |
| @inproceedings{arighi2017bio, | |
| title={Bio-ID track overview}, | |
| author={Arighi, Cecilia and Hirschman, Lynette and Lemberger, Thomas and Bayer, Samuel and Liechti, Robin and Comeau, Donald and Wu, Cathy}, | |
| booktitle={Proc. BioCreative Workshop}, | |
| volume={482}, | |
| pages={376}, | |
| year={2017} | |
| } | |
| ``` | |