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http://hdl.handle.net/10609/150467
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DC Field | Value | Language |
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dc.contributor.author | Ait Fonollà, Adem | - |
dc.contributor.author | Canovas Izquierdo, Javier Luis | - |
dc.contributor.author | Cabot, Jordi | - |
dc.date.accessioned | 2024-06-21T06:03:10Z | - |
dc.date.available | 2024-06-21T06:03:10Z | - |
dc.date.issued | 2024-05 | - |
dc.identifier.citation | Ait, A. [Adem], Cánovas Izquierdo, J.L. [Javier Luis], & Cabot, J. [Jordi]. (2024). HFCommunity: an extraction process and relational database to analyze Hugging Face Hub data. Science of Computer Programming, 234, 103079. doi: 10.1016/j.scico.2024.103079 | - |
dc.identifier.issn | 0167-6423MIAR | - |
dc.identifier.uri | http://hdl.handle.net/10609/150467 | - |
dc.description.abstract | Social coding platforms such as GitHub or GitLab have become the de facto standard for developing Open-Source Software (OSS) projects. With the emergence of Machine Learning (ML), platforms specifically designed for hosting and developing ML-based projects have appeared, being Hugging Face Hub (HFH) one of the most popular ones. HFH aims at sharing datasets, pre-trained ML models and the applications built with them. With over 400 K repositories, and growing fast, HFH is becoming a promising source of empirical data on all aspects of ML project development. However, apart from the API provided by the platform, there are no easy-to-use solutions to collect the data, nor prepackaged datasets to explore the different facets of HFH. We present HFCommunity, an extraction process for HFH data and a relational database to facilitate an empirical analysis on the growing number of ML projects. | en |
dc.format.mimetype | application/pdf | ca |
dc.language.iso | eng | ca |
dc.publisher | Elsevier | ca |
dc.relation.ispartof | Science of Computer Programming, 2024, 234, 103079 | ca |
dc.relation.uri | https://www.sciencedirect.com/science/article/pii/S0167642324000029?via%3Dihub | - |
dc.rights | CC BY | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | - |
dc.subject | mining software repositories | en |
dc.subject | data analysis | en |
dc.subject | Hugging Face | en |
dc.title | HFCommunity: an extraction process and relational database to analyze Hugging Face Hub data | ca |
dc.type | info:eu-repo/semantics/article | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.doi | https://doi.org/10.1016/j.scico.2024.103079 | - |
dc.relation.projectID | info:eu-repo/grantAgreement/TED2021-130331B-100 | - |
dc.relation.projectID | info:eu-repo/grantAgreement/BESSER/16544475 | - |
dc.type.version | info:eu-repo/semantics/publishedVersion | - |
Appears in Collections: | Articles cientÍfics Articles |
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Ait_scp_HFCommunity.pdf | 499,43 kB | Adobe PDF | ![]() View/Open |
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