| 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} | |
| } | |
| ``` | |