FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information

Authors: Aly, Rami; Guo, Zhijiang; Schlichtkrull, Michael Sejr; Thorne, James; Vlachos, Andreas; Christodoulopoulos, Christos; Cocarascu, Oana; +1 Authors

doi: 10.5281/zenodo.4911508 , 10.5281/zenodo.4911507

FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information

- Summary
- Subjects
- Metrics

Abstract

FEVEROUS (Fact Extraction and VERification Over Unstructured and Structured information) is a fact verification dataset which consists of 87,026 verified claims. Each claim is annotated with evidence in the form of sentences and/or cells from tables in Wikipedia, as well as a label indicating whether this evidence supports, refutes, or does not provide enough information to reach a verdict.

Related Organizations

University of Cambridge
United Kingdom
King's College London
United Kingdom
Amazon (United States)
United States

Keywords

machine learning, fact verification, natural language processing

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