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title
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
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site name
author
updated
2025-12-18 22:40:43
raw text
HoVer Homepage HoVer Menu A Dataset for Many-Hop Fact Extraction And Claim Verification What is HoVer? HoVer is an open-domain, many-hop fact extraction and claim verification dataset built upon the Wikipedia corpus. The original 2-hop claims are adapted from question-answer pairs from HotpotQA . It is collected by a team of NLP researchers at UNC Chapel Hill and Verisk Analytics . For more details about HoVer, please refer to our EMNLP 2020 paper: (Jiang, Bordia, et al. 2020) Getting started HoVer is distributed under a CC BY-SA 4.0 License . The training, development, and test sets can be downloaded below. The test set only has the claims. Training set (9.2MB) Dev set (2.2MB) Test set (claim only) (899KB) To evaluate your model on the test set, submit your model predictions to hover.nlp.dataset@gmail.com. Please Refer to the sample prediction format below. Sample dev prediction (1.2MB) We use the Wikipedia data processed by the Ho...
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