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

• URL: http://arxiv.org/abs/2305.13117v3
• Date: Wed, 8 Nov 2023 11:53:55 GMT
• Title: AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
• Authors: Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos
• Abstract summary: We introduce AVeriTeC, a new dataset of 4,568 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.
• Score: 20.576644330553744
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Existing datasets for automated fact-checking have substantial limitations, such as relying on artificial claims, lacking annotations for evidence and intermediate reasoning, or including evidence published after the claim. In this paper we introduce AVeriTeC, a new dataset of 4,568 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. Through a multi-round annotation process, we avoid common pitfalls including context dependence, evidence insufficiency, and temporal leakage, and reach a substantial inter-annotator agreement of $\kappa=0.619$ on verdicts. We develop a baseline as well as an evaluation scheme for verifying claims through several question-answering steps against the open web.

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