multilinguality:monolingual language:en license:mit region:us
A dataset of 11,832 claims for fact- checking, which are related a range of health topics
including biomedical subjects (e.g., infectious diseases, stem cell research), government healthcare policy
(e.g., abortion, mental health, women’s health), and other public health-related stories
@article{kotonya2020explainable,
  title={Explainable automated fact-checking for public health claims},
  author={Kotonya, Neema and Toni, Francesca},
  journal={arXiv preprint arXiv:2010.09926},
  year={2020}
}

---
language: 
- en
bigbio_language: 
- English
license: mit
multilinguality: monolingual
bigbio_license_shortname: MIT
pretty_name: PUBHEALTH
homepage: https://github.com/neemakot/Health-Fact-Checking/tree/master/data
bigbio_pubmed: False
bigbio_public: True
bigbio_tasks: 
- TEXT_CLASSIFICATION
---


# Dataset Card for PUBHEALTH

## Dataset Description

- **Homepage:** https://github.com/neemakot/Health-Fact-Checking/tree/master/data
- **Pubmed:** False
- **Public:** True
- **Tasks:** TXTCLASS


A dataset of 11,832 claims for fact- checking, which are related a range of health topics
including biomedical subjects (e.g., infectious diseases, stem cell research), government healthcare policy
(e.g., abortion, mental health, women’s health), and other public health-related stories



## Citation Information

```
@article{kotonya2020explainable,
  title={Explainable automated fact-checking for public health claims},
  author={Kotonya, Neema and Toni, Francesca},
  journal={arXiv preprint arXiv:2010.09926},
  year={2020}
}

```
