--- --- # Dataset Card for "super_glue" ## 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://github.com/google-research-datasets/boolean-questions](https://github.com/google-research-datasets/boolean-questions) - **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:** 55.66 MB - **Size of the generated dataset:** 238.01 MB - **Total amount of disk used:** 293.67 MB ### [Dataset Summary](#dataset-summary) SuperGLUE (https://super.gluebenchmark.com/) is a new benchmark styled after GLUE with a new set of more difficult language understanding tasks, improved resources, and a new public leaderboard. BoolQ (Boolean Questions, Clark et al., 2019a) is a QA task where each example consists of a short passage and a yes/no question about the passage. The questions are provided anonymously and unsolicited by users of the Google search engine, and afterwards paired with a paragraph from a Wikipedia article containing the answer. Following the original work, we evaluate with accuracy. ### [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) #### axb - **Size of downloaded dataset files:** 0.03 MB - **Size of the generated dataset:** 0.23 MB - **Total amount of disk used:** 0.26 MB An example of 'test' looks as follows. ``` ``` #### axg - **Size of downloaded dataset files:** 0.01 MB - **Size of the generated dataset:** 0.05 MB - **Total amount of disk used:** 0.06 MB An example of 'test' looks as follows. ``` ``` #### boolq - **Size of downloaded dataset files:** 3.93 MB - **Size of the generated dataset:** 9.92 MB - **Total amount of disk used:** 13.85 MB An example of 'train' looks as follows. ``` ``` #### cb - **Size of downloaded dataset files:** 0.07 MB - **Size of the generated dataset:** 0.19 MB - **Total amount of disk used:** 0.27 MB An example of 'train' looks as follows. ``` ``` #### copa - **Size of downloaded dataset files:** 0.04 MB - **Size of the generated dataset:** 0.12 MB - **Total amount of disk used:** 0.16 MB An example of 'train' looks as follows. ``` ``` ### [Data Fields](#data-fields) The data fields are the same among all splits. #### axb - `sentence1`: a `string` feature. - `sentence2`: a `string` feature. - `idx`: a `int32` feature. - `label`: a classification label, with possible values including `entailment` (0), `not_entailment` (1). #### axg - `premise`: a `string` feature. - `hypothesis`: a `string` feature. - `idx`: a `int32` feature. - `label`: a classification label, with possible values including `entailment` (0), `not_entailment` (1). #### boolq - `question`: a `string` feature. - `passage`: a `string` feature. - `idx`: a `int32` feature. - `label`: a classification label, with possible values including `False` (0), `True` (1). #### cb - `premise`: a `string` feature. - `hypothesis`: a `string` feature. - `idx`: a `int32` feature. - `label`: a classification label, with possible values including `entailment` (0), `contradiction` (1), `neutral` (2). #### copa - `premise`: a `string` feature. - `choice1`: a `string` feature. - `choice2`: a `string` feature. - `question`: a `string` feature. - `idx`: a `int32` feature. - `label`: a classification label, with possible values including `choice1` (0), `choice2` (1). ### [Data Splits Sample Size](#data-splits-sample-size) #### axb | |test| |---|---:| |axb|1104| #### axg | |test| |---|---:| |axg| 356| #### boolq | |train|validation|test| |-----|----:|---------:|---:| |boolq| 9427| 3270|3245| #### cb | |train|validation|test| |---|----:|---------:|---:| |cb | 250| 56| 250| #### copa | |train|validation|test| |----|----:|---------:|---:| |copa| 400| 100| 500| ## [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{clark2019boolq, title={BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions}, author={Clark, Christopher and Lee, Kenton and Chang, Ming-Wei, and Kwiatkowski, Tom and Collins, Michael, and Toutanova, Kristina}, booktitle={NAACL}, year={2019} } @article{wang2019superglue, title={SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems}, author={Wang, Alex and Pruksachatkun, Yada and Nangia, Nikita and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R}, journal={arXiv preprint arXiv:1905.00537}, year={2019} } Note that each SuperGLUE dataset has its own citation. Please see the source to get the correct citation for each contained dataset. ``` ### Contributions Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.