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| # Dataset Card for "multi_nli" | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits Sample Size](#data-splits-sample-size) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## [Dataset Description](#dataset-description) | |
| - **Homepage:** [https://www.nyu.edu/projects/bowman/multinli/](https://www.nyu.edu/projects/bowman/multinli/) | |
| - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Size of downloaded dataset files:** 216.34 MB | |
| - **Size of the generated dataset:** 73.39 MB | |
| - **Total amount of disk used:** 289.74 MB | |
| ### [Dataset Summary](#dataset-summary) | |
| The Multi-Genre Natural Language Inference (MultiNLI) corpus is a | |
| crowd-sourced collection of 433k sentence pairs annotated with textual | |
| entailment information. The corpus is modeled on the SNLI corpus, but differs in | |
| that covers a range of genres of spoken and written text, and supports a | |
| distinctive cross-genre generalization evaluation. The corpus served as the | |
| basis for the shared task of the RepEval 2017 Workshop at EMNLP in Copenhagen. | |
| ### [Supported Tasks](#supported-tasks) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Languages](#languages) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## [Dataset Structure](#dataset-structure) | |
| We show detailed information for up to 5 configurations of the dataset. | |
| ### [Data Instances](#data-instances) | |
| #### plain_text | |
| - **Size of downloaded dataset files:** 216.34 MB | |
| - **Size of the generated dataset:** 73.39 MB | |
| - **Total amount of disk used:** 289.74 MB | |
| An example of 'validation_matched' looks as follows. | |
| ``` | |
| { | |
| "hypothesis": "flammable", | |
| "label": 0, | |
| "premise": "inflammable" | |
| } | |
| ``` | |
| ### [Data Fields](#data-fields) | |
| The data fields are the same among all splits. | |
| #### plain_text | |
| - `premise`: a `string` feature. | |
| - `hypothesis`: a `string` feature. | |
| - `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2). | |
| ### [Data Splits Sample Size](#data-splits-sample-size) | |
| | name |train |validation_matched|validation_mismatched| | |
| |----------|-----:|-----------------:|--------------------:| | |
| |plain_text|392702| 9815| 9832| | |
| ## [Dataset Creation](#dataset-creation) | |
| ### [Curation Rationale](#curation-rationale) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Source Data](#source-data) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Annotations](#annotations) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## [Considerations for Using the Data](#considerations-for-using-the-data) | |
| ### [Social Impact of Dataset](#social-impact-of-dataset) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Discussion of Biases](#discussion-of-biases) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Other Known Limitations](#other-known-limitations) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## [Additional Information](#additional-information) | |
| ### [Dataset Curators](#dataset-curators) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Licensing Information](#licensing-information) | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### [Citation Information](#citation-information) | |
| ``` | |
| @InProceedings{N18-1101, | |
| author = "Williams, Adina | |
| and Nangia, Nikita | |
| and Bowman, Samuel", | |
| title = "A Broad-Coverage Challenge Corpus for | |
| Sentence Understanding through Inference", | |
| booktitle = "Proceedings of the 2018 Conference of | |
| the North American Chapter of the | |
| Association for Computational Linguistics: | |
| Human Language Technologies, Volume 1 (Long | |
| Papers)", | |
| year = "2018", | |
| publisher = "Association for Computational Linguistics", | |
| pages = "1112--1122", | |
| location = "New Orleans, Louisiana", | |
| url = "http://aclweb.org/anthology/N18-1101" | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@thomwolf](https://github.com/thomwolf), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset. |