HoVer
Introduced by Jiang et al. in HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
Is a dataset for many-hop evidence extraction and fact verification. It challenges models to extract facts from several Wikipedia articles that are relevant to a claim and classify whether the claim is Supported or Not-Supported by the facts. In HoVer, the claims require evidence to be extracted from as many as four English Wikipedia articles and embody reasoning graphs of diverse shapes.
Source: HoVer: A Dataset for Many-Hop Fact Extraction And Claim VerificationPapers
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