Datasets › DialFact

DialFact

Introduced by Prakhar Gupta et al. in DialFact: A Benchmark for Fact-Checking in Dialogue15 Oct 2021 archive 2025-07-28

DialFact is a testing benchmark dataset of 22,245 annotated conversational claims, paired with pieces of evidence from Wikipedia. There are three sub-tasks in DialFact: 1) Verifiable claim detection task distinguishes whether a response carries verifiable factual information; 2) Evidence retrieval task retrieves the most relevant Wikipedia snippets as evidence; 3) Claim verification task predicts a dialogue response to be supported, refuted, or not enough information.

Description from: DialFact: A Benchmark for Fact-Checking in Dialogue

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 13 papers for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • DialFact

1 variant name, as the archive lists them.

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