Datasets › LIAR-RAW

LIAR-RAW

Introduced by Zhiwei Yang et al. in A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection29 Sep 2022 archive 2025-07-28

For LIAR-RAW, we extended the public dataset LIAR-PLUS (Alhindi et al., 2018) with relevant raw reports, containing fine-grained claims from Politifact. LIAR-RAW is based on LIAR, where gold labels refer to Politifact. To alleviate the dependency of fact-checked reports, we extended the public LIAR dataset with additional raw reports for each claim. Besides, we put these raw reports into a single file with the format of LIAR.

Provide: * A novel benchmark dataset for Explainable fake news detection.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 9 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache-2.0 license

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • LIAR
  • RAWFC

2 variant names, as the archive lists them.

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