Datasets › ComFact

ComFact

Introduced by Silin Gao et al. in ComFact: A Benchmark for Linking Contextual Commonsense Knowledge23 Oct 2022 archive 2025-07-28

ComFact is a benchmark for commonsense fact linking, where models are given contexts and trained to identify situationally-relevant commonsense knowledge from KGs. The novel benchmark, C-om-Fact, contains ∼293k in-context relevance annotations for common-sense triplets across four stylistically diverse dialogue and storytelling datasets.

Source: ComFact: A Benchmark for Linking Contextual Commonsense Knowledge

Image Source: https://arxiv.org/pdf/2210.12678v1.pdf

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 5 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

Languages archive 2025-07-28

Variants archive 2025-07-28

  • ComFact

1 variant name, as the archive lists them.

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