SciFact

Semantic Scholar • 2020
Due to the rapid growth in the scientific literature, there is a need for automated systems to assist researchers and the public in assessing the veracity of scientific claims. To facilitate the development of systems for this task, we introduce SciFact, a dataset of 1.4K expert-written claims, paired with evidence-containing abstracts annotated with veracity labels and rationales.
License: CC BY-NC 2.0

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Authors

David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi