Datasets › PropSegmEnt

PropSegmEnt

Introduced by Sihao Chen et al. in PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition21 Dec 2022 archive 2025-07-28

PropSegmEnt is a corpus of over 35K propositions annotated by expert human raters. The dataset structure resembles the tasks of (1) segmenting sentences within a document to the set of propositions, and (2) classifying the entailment relation of each proposition with respect to a different yet topically-aligned document, i.e. documents describing the same event or entity.

Source: PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition

Image Source: https://arxiv.org/pdf/2212.10750v1.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 2 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

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • PropSegmEnt

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections