Datasets:
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README.md
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license: cc-by-4.0
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---
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---
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license: cc-by-4.0
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task_categories:
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- text-classification
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- token-classification
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- text-generation
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language:
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- en
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tags:
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- NLP
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- Entailment
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- NLI
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- google-research-datasets
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pretty_name: PropSegment
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size_categories:
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- 10K<n<100K
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---
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# Dataset Card for Dataset Name
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## Dataset Description
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- **Homepage:** https://github.com/google-research-datasets/PropSegmEnt
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- **Repository:** https://github.com/google-research-datasets/PropSegmEnt
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- **Paper:** https://arxiv.org/abs/2212.10750
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- **Point of Contact:** sihaoc@seas.upenn.edu
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### Dataset Summary
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This is a reproduced (i.e. after web-crawling) and processed version of [the "PropSegment" dataset](https://github.com/google-research-datasets/PropSegmEnt) from Google Research.
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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.
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The dataset features >45k human annotated propositions, i.e. individual semantic units within sentences, as well as >35k entailment labels between propositions and documents.
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Check out more details in the [dataset paper](https://arxiv.org/abs/2212.10750).
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## Dataset Structure
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### Data Instances
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### Data Fields
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[More Information Needed]
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### Data Splits
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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[More Information Needed]
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### Contributions
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[More Information Needed]
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