Datasets:
license: cc-by-4.0
task_categories:
- text-classification
- token-classification
- text-generation
language:
- en
tags:
- NLP
- Entailment
- NLI
- google-research-datasets
pretty_name: PropSegment
size_categories:
- 10K<n<100K
Dataset Card for Dataset Name
Dataset Description
- Homepage: https://github.com/google-research-datasets/PropSegmEnt
- Repository: https://github.com/google-research-datasets/PropSegmEnt
- Paper: https://arxiv.org/abs/2212.10750
- Point of Contact: [email protected]
Dataset Summary
This is a reproduced (i.e. after web-crawling) and processed version of the "PropSegment" dataset from Google Research.
PropSegment (Proposition-level Segmentation and Entailment) is a large-scale, human annotated dataset for segmenting English text into propositions, and recognizing proposition-level entailment relations --- whether a different, related document entails each proposition, contradicts it, or neither.
The dataset features >45k human annotated propositions, i.e. individual semantic units within sentences, as well as >35k entailment labels between propositions and documents.
Check out more details in the dataset paper.
Dataset Structure
Data Instances
Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Contributions
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