FaVIQ Dataset

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.

FaVIQ（基于信息查询问题的真实信息验证）是一个颇具挑战性和现实性的真实信息验证数据集，它反映了真实用户所提出的困惑。我们利用信息查询问题中的歧义及其消歧，并将其自动转换为真伪陈述。这些陈述自然流畅，且在验证过程中需要全面理解证据。FaVIQ充当自然语言理解领域的挑战性基准，并提升了专业事实核查的表现。