---
language: 
- en
bigbio_language: 
- English
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: CHIA
homepage: https://github.com/WengLab-InformaticsResearch/CHIA
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks: 
- NAMED_ENTITY_RECOGNITION
- RELATION_EXTRACTION
---


# Dataset Card for CHIA

## Dataset Description

- **Homepage:** https://github.com/WengLab-InformaticsResearch/CHIA
- **Pubmed:** False
- **Public:** True
- **Tasks:** NER,RE


A large annotated corpus of patient eligibility criteria extracted from 1,000
interventional, Phase IV clinical trials registered in ClinicalTrials.gov. This
dataset includes 12,409 annotated eligibility criteria, represented by 41,487
distinctive entities of 15 entity types and 25,017 relationships of 12
relationship types.



## Citation Information

```
@article{kury2020chia,
  title        = {Chia, a large annotated corpus of clinical trial eligibility criteria},
  author       = {
    Kury, Fabr{'\i}cio and Butler, Alex and Yuan, Chi and Fu, Li-heng and
    Sun, Yingcheng and Liu, Hao and Sim, Ida and Carini, Simona and Weng,
    Chunhua
  },
  year         = 2020,
  journal      = {Scientific data},
  publisher    = {Nature Publishing Group},
  volume       = 7,
  number       = 1,
  pages        = {1--11}
}

```