Datasets:
Update files from the datasets library (from 1.3.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.3.0
README.md
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---
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---
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# Dataset Card for "multi_nli_mismatch"
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits Sample Size](#data-splits-sample-size)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## [Dataset Description](#dataset-description)
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- **Homepage:** [https://www.nyu.edu/projects/bowman/multinli/](https://www.nyu.edu/projects/bowman/multinli/)
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Size of downloaded dataset files:** 216.34 MB
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- **Size of the generated dataset:** 74.02 MB
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- **Total amount of disk used:** 290.36 MB
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### [Dataset Summary](#dataset-summary)
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The Multi-Genre Natural Language Inference (MultiNLI) corpus is a
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crowd-sourced collection of 433k sentence pairs annotated with textual
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entailment information. The corpus is modeled on the SNLI corpus, but differs in
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that covers a range of genres of spoken and written text, and supports a
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distinctive cross-genre generalization evaluation. The corpus served as the
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basis for the shared task of the RepEval 2017 Workshop at EMNLP in Copenhagen.
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### [Supported Tasks](#supported-tasks)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Languages](#languages)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Dataset Structure](#dataset-structure)
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We show detailed information for up to 5 configurations of the dataset.
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### [Data Instances](#data-instances)
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#### plain_text
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- **Size of downloaded dataset files:** 216.34 MB
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- **Size of the generated dataset:** 74.02 MB
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- **Total amount of disk used:** 290.36 MB
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An example of 'train' looks as follows.
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```
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{
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"hypothesis": "independence",
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"label": "contradiction",
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"premise": "correlation"
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}
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```
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### [Data Fields](#data-fields)
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The data fields are the same among all splits.
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#### plain_text
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- `premise`: a `string` feature.
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- `hypothesis`: a `string` feature.
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- `label`: a `string` feature.
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### [Data Splits Sample Size](#data-splits-sample-size)
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| name |train |validation|
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|----------|-----:|---------:|
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|plain_text|392702| 10000|
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## [Dataset Creation](#dataset-creation)
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### [Curation Rationale](#curation-rationale)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Source Data](#source-data)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Annotations](#annotations)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Personal and Sensitive Information](#personal-and-sensitive-information)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Considerations for Using the Data](#considerations-for-using-the-data)
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### [Social Impact of Dataset](#social-impact-of-dataset)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Discussion of Biases](#discussion-of-biases)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Other Known Limitations](#other-known-limitations)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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## [Additional Information](#additional-information)
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### [Dataset Curators](#dataset-curators)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Licensing Information](#licensing-information)
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### [Citation Information](#citation-information)
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```
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@InProceedings{N18-1101,
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author = "Williams, Adina
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and Nangia, Nikita
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and Bowman, Samuel",
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title = "A Broad-Coverage Challenge Corpus for
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Sentence Understanding through Inference",
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booktitle = "Proceedings of the 2018 Conference of
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the North American Chapter of the
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Association for Computational Linguistics:
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Human Language Technologies, Volume 1 (Long
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Papers)",
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year = "2018",
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publisher = "Association for Computational Linguistics",
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pages = "1112--1122",
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location = "New Orleans, Louisiana",
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url = "http://aclweb.org/anthology/N18-1101"
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}
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```
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### Contributions
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Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.
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