FEVER: A Large-Scale Dataset for Fact Extraction and Verification

The FEVER dataset consists of 185,455 annotated claims, together with 5,416,537 Wikipedia documents containing roughly 25 million sentences as potential evidence.

Data and Resources

Cite this as

Tsvetomila Mihaylova, Preslav Nakov, Lluís Marquez, Alberto Barrón-Cedeño, Georgi Karadzhov, James Glass (2024). Dataset: FEVER: A Large-Scale Dataset for Fact Extraction and Verification. https://doi.org/10.57702/1u8amlgt

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1811.07039
Citation
  • https://doi.org/10.48550/arXiv.1810.13223
  • https://doi.org/10.48550/arXiv.1810.12464
  • https://doi.org/10.48550/arXiv.1906.04164
Author Tsvetomila Mihaylova
More Authors
Preslav Nakov
Lluís Marquez
Alberto Barrón-Cedeño
Georgi Karadzhov
James Glass
Homepage http://www.fakenewschallenge.org