Omkar2118/datasets huggingface dataset:
AVeriTeC
Full name: AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web

AVeriTeC (Automated Verification of Textual Claims) is a dataset of 4568 real-world claims covering fact-checks by 50 different organizations. Each claim is annotated with question-answer pairs supported by evidence available online, as well as textual justifications explaining how the evidence combines to produce a verdict. The Claims in AVeriTeC are classified into four labels: "Supported", "Refuted", "Not Enough Evidence", "Conflicting Evidence/Cherry-picking". The dataset also contains several fields of metadata such as the speaker of the claim, the publisher of the claim, the date the claim was published, and the location most relevant to the claim. These can be used to support questions, answers, and justifications.

Introducing paper: AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web