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2020

CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

Diggelmann, Thomas, Boyd-Graber, Jordan, Bulian, Jannis et al.

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We introduce CLIMATE-FEVER, a new publicly available dataset for verification of climate change-related claims.

By providing a dataset for the research community, we aim to facilitate and encourage work on improving algorithms for retrieving evidential support for climate-specific claims, addressing the underlying language understanding challenges, and ultimately help alleviate the impact of misinformation on climate change.
We adapt the methodology of FEVER [1], the largest dataset of artificially designed claims, to real-life claims collected from the Internet.
While during this process, we could rely on the expertise of renowned climate scientists, it turned out to be no easy task.

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J. Thorne, A. Vlachos, C. Christodoulopoulos, and A. Mittal, “FEVER: a large-scale dataset for fact extraction and verification,” arXiv preprint arXiv:1803.05355 , 2018
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