Datasets for the paper: Lost in Translation: Using Global Fact-Checks to Measure Multilingual Misinformation Prevalence, Spread, and Evolution

FullData.csv.gz: Contains links to all claims in the data-set. publishing_date: Date on which the fact-check was published. claim_date: Date that claim was made. verdict: Rating given by the fact-checking organisation. language: Language of the claim. cluster_{threshold}: ID of the cluster that claim belongs to at all given clusters. Entry "0" means that claim is singleton and not clustered with any other claims. Embeddings.npy: Contains a dictionary linking each claim to it's embedding calculated with LaBSE.