MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters

MultiClaimNet is a collection of three multilingual claim cluster datasets. The claims discussing similar facts are automatically grouped and annotated with a cluster ID. The following three datasets within MultiClaimNet contain claims written in 86 languages across diverse topics. Dataset Number of Claims Number of Clusters Number of Languages ClaimCheck 1187 197 22 ClaimMatch 1171 192 36 MultiClaim 85.3K 30.9K 78 Paper: https://aclanthology.org/2025.findings-emnlp.599.pdf Preprint: https://arxiv.org/abs/2503.22280 Content: Claim - Factchecked Claim ClusterID - Cluster ID Language - Original language of the claim Translation - English translation NID - Unique identifier of the Claim In addition to the above fields, the MultiClaim dataset contains the following fields from the original dataset. Timestamp URL References If you use any dataset from MultiClaimNet, in any publication, project, tool, or in any other form, please, cite the following paper: @inproceedings{panchendrarajan-etal-2025-multiclaimnet, title = "{M}ulti{C}laim{N}et: A Massively Multilingual Dataset of Fact-Checked Claim Clusters", author = "Panchendrarajan, Rrubaa and P{\'e}rez, Rub{\'e}n M{\'i}guez and Zubiaga, Arkaitz", editor = "Christodoulopoulos, Christos and Chakraborty, Tanmoy and Rose, Carolyn and Peng, Violet", booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025", month = nov, year = "2025", address = "Suzhou, China", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2025.findings-emnlp.599/", doi = "10.18653/v1/2025.findings-emnlp.599", pages = "11203--11215", ISBN = "979-8-89176-335-7"} If you use the MultiClaim dataset from the MultiClaimNet collection in any publication, project, tool, or in any other form, please, cite the following paper in addition to the above: @inproceedings{pikuliak-etal-2023-multilingual, title = "Multilingual Previously Fact-Checked Claim Retrieval", author = "Pikuliak, Mat{\'u}{\v{s}} and Srba, Ivan and Moro, Robert and Hromadka, Timo and Smole{\v{n}}, Timotej and Meli{\v{s}}ek, Martin and Vykopal, Ivan and Simko, Jakub and Podrou{\v{z}}ek, Juraj and Bielikova, Maria", editor = "Bouamor, Houda and Pino, Juan and Bali, Kalika", booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing", month = dec, year = "2023", address = "Singapore", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2023.emnlp-main.1027", doi = "10.18653/v1/2023.emnlp-main.1027", pages = "16477--16500", }