Datasets:
Tasks:
Text Classification
Sub-tasks:
natural-language-inference
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
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 "hans"
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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://github.com/tommccoy1/hans](https://github.com/tommccoy1/hans)
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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:** 29.51 MB
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- **Size of the generated dataset:** 30.34 MB
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- **Total amount of disk used:** 59.85 MB
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### [Dataset Summary](#dataset-summary)
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The HANS dataset is an NLI evaluation set that tests specific hypotheses about invalid heuristics that NLI models are likely to learn.
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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:** 29.51 MB
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- **Size of the generated dataset:** 30.34 MB
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- **Total amount of disk used:** 59.85 MB
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An example of 'train' looks as follows.
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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 classification label, with possible values including `entailment` (0), `non-entailment` (1).
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- `parse_premise`: a `string` feature.
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- `parse_hypothesis`: a `string` feature.
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- `binary_parse_premise`: a `string` feature.
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- `binary_parse_hypothesis`: a `string` feature.
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- `heuristic`: a `string` feature.
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- `subcase`: a `string` feature.
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- `template`: 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|30000| 30000|
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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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@article{DBLP:journals/corr/abs-1902-01007,
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author = {R. Thomas McCoy and
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Ellie Pavlick and
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Tal Linzen},
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title = {Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural
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Language Inference},
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journal = {CoRR},
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volume = {abs/1902.01007},
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year = {2019},
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url = {http://arxiv.org/abs/1902.01007},
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archivePrefix = {arXiv},
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eprint = {1902.01007},
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timestamp = {Tue, 21 May 2019 18:03:36 +0200},
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biburl = {https://dblp.org/rec/journals/corr/abs-1902-01007.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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### Contributions
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Thanks to [@TevenLeScao](https://github.com/TevenLeScao), [@thomwolf](https://github.com/thomwolf) for adding this dataset.
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