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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: CHIA |
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homepage: https://github.com/WengLab-InformaticsResearch/CHIA |
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bigbio_pubmed: False |
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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 CHIA |
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## Dataset Description |
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|
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- **Homepage:** https://github.com/WengLab-InformaticsResearch/CHIA |
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- **Pubmed:** False |
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- **Public:** True |
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- **Tasks:** NER,RE |
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A large annotated corpus of patient eligibility criteria extracted from 1,000 |
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interventional, Phase IV clinical trials registered in ClinicalTrials.gov. This |
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dataset includes 12,409 annotated eligibility criteria, represented by 41,487 |
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distinctive entities of 15 entity types and 25,017 relationships of 12 |
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relationship types. |
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## Citation Information |
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|
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``` |
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@article{kury2020chia, |
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title = {Chia, a large annotated corpus of clinical trial eligibility criteria}, |
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author = { |
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Kury, Fabr{'\i}cio and Butler, Alex and Yuan, Chi and Fu, Li-heng and |
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Sun, Yingcheng and Liu, Hao and Sim, Ida and Carini, Simona and Weng, |
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Chunhua |
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}, |
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year = 2020, |
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journal = {Scientific data}, |
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publisher = {Nature Publishing Group}, |
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volume = 7, |
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number = 1, |
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pages = {1--11} |
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} |
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|
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``` |
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|
