All datasets / ImperialCollegeLondon
ImperialCollegeLondon/health_fact
The declared licence (mit) is classified as permissive.
- Declared licence
- mit, from the tagEvidence: README.md at 5799524
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 5799524
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@inproceedings{kotonya-toni-2020-explainable,
title = "Explainable Automated Fact-Checking for Public Health Claims",
author = "Kotonya, Neema and
Toni, Francesca",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.emnlp-main.623",
pages = "7740--7754",
}
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "ImperialCollegeLondon/health_fact" })
signal: "permissive"
stated_licence: "mit"
sources: 0