Crossmark

Datasets, bias, licenses, and terms of use: A large and longitudinal study on the documentation of hugging face machine learning models

Published Online: 2026-03-17

Published Print: 2026-07

Authors

Pepe, Federica

Nardone, Vittoria

Mastropaolo, Antonio

Canfora, Gerardo

Bavota, Gabriele

Di Penta, Massimiliano https://orcid.org/0000-0002-0340-9747
Funding

Funding for this research was provided by:

Ministero dell’Università e della Ricerca (PRIN 2020 Project EMELIOT “Engineered MachinE Learning-intensive IoT system”, ID 2020W3A5FY)

European Commission (Next Generation EU PNRR DM 352/2022 Italian Grant for Ph.D. scholarships)

Swiss National Foundation (219294)
License Information

Text and Data Mining valid from 2026-03-17

Version of Record valid from 2026-03-17
More Information

Article History

Received: 15 April 2025

Accepted: 3 March 2026

First Online: 17 March 2026

Declarations

:

: Ethics approval does not apply as the research did not involve human participants.

: Informed consent does not apply as the research did not involve human participants.

: The authors have no conflicts of interest to declare that are relevant to the content of this article.

: Clinical trial number: not applicable.

Document is current