All datasets / argilla
argilla/news-summary
The declared licence (cc-by-nc-4.0) is classified as having use restrictions.
- Declared licence
- cc-by-nc-4.0, from the tagEvidence: README.md at 9612395
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 9612395
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
Acknowledgements Ahmed H, Traore I, Saad S. “Detecting opinion spams and fake news using text classification”, Journal of Security and Privacy, Volume 1, Issue 1, Wiley, January/February 2018. Ahmed H, Traore I, Saad S. (2017) “Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. In: Traore I., Woungang I., Awad A. (eds) Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments. ISDDC 2017. Lecture Notes in Computer Science, vol 10618. Springer, Cham (pp. 127-138).
The same facts for your agent
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dataset_licence({ "id": "argilla/news-summary" })
signal: "restrictive"
stated_licence: "cc-by-nc-4.0"
sources: 0