FaVIQ (Fact Verification from Information-seeking Questions)
Introduced by Park et al. in FaVIQ: FAct Verification from Information-seeking Questions
FaVIQ (Fact Verification from Information-seeking Questions) is a challenging and realistic fact verification dataset that reflects confusions raised by real users. We use the ambiguity in information-seeking questions and their disambiguation, and automatically convert them to true and false claims. These claims are natural, and require a complete understanding of the evidence for verification. FaVIQ serves as a challenging benchmark for natural language understanding, and improves performance in professional fact checking.
Source: https://faviq.github.ioPapers
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