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.io


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