| | --- |
| | annotations_creators: |
| | - expert-generated |
| | language: |
| | - en |
| | language_creators: |
| | - other |
| | license: |
| | - unknown |
| | multilinguality: |
| | - monolingual |
| | paperswithcode_id: superglue |
| | pretty_name: SuperGLUE |
| | size_categories: |
| | - 10K<n<100K |
| | source_datasets: |
| | - extended|other |
| | tags: |
| | - superglue |
| | - NLU |
| | - natural language understanding |
| | task_categories: |
| | - text-classification |
| | - token-classification |
| | - question-answering |
| | task_ids: |
| | - natural-language-inference |
| | - word-sense-disambiguation |
| | - coreference-resolution |
| | - extractive-qa |
| | dataset_info: |
| | - config_name: boolq |
| | features: |
| | - name: question |
| | dtype: string |
| | - name: passage |
| | dtype: string |
| | - name: idx |
| | dtype: int32 |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | 0: 'False' |
| | 1: 'True' |
| | splits: |
| | - name: test |
| | num_bytes: 2107997 |
| | num_examples: 3245 |
| | - name: train |
| | num_bytes: 6179206 |
| | num_examples: 9427 |
| | - name: validation |
| | num_bytes: 2118505 |
| | num_examples: 3270 |
| | download_size: 4118001 |
| | dataset_size: 10405708 |
| | - config_name: cb |
| | features: |
| | - name: premise |
| | dtype: string |
| | - name: hypothesis |
| | dtype: string |
| | - name: idx |
| | dtype: int32 |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | 0: entailment |
| | 1: contradiction |
| | 2: neutral |
| | splits: |
| | - name: test |
| | num_bytes: 93660 |
| | num_examples: 250 |
| | - name: train |
| | num_bytes: 87218 |
| | num_examples: 250 |
| | - name: validation |
| | num_bytes: 21894 |
| | num_examples: 56 |
| | download_size: 75482 |
| | dataset_size: 202772 |
| | - config_name: copa |
| | features: |
| | - name: premise |
| | dtype: string |
| | - name: choice1 |
| | dtype: string |
| | - name: choice2 |
| | dtype: string |
| | - name: question |
| | dtype: string |
| | - name: idx |
| | dtype: int32 |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | 0: choice1 |
| | 1: choice2 |
| | splits: |
| | - name: test |
| | num_bytes: 60303 |
| | num_examples: 500 |
| | - name: train |
| | num_bytes: 49599 |
| | num_examples: 400 |
| | - name: validation |
| | num_bytes: 12586 |
| | num_examples: 100 |
| | download_size: 43986 |
| | dataset_size: 122488 |
| | - config_name: multirc |
| | features: |
| | - name: paragraph |
| | dtype: string |
| | - name: question |
| | dtype: string |
| | - name: answer |
| | dtype: string |
| | - name: idx |
| | struct: |
| | - name: paragraph |
| | dtype: int32 |
| | - name: question |
| | dtype: int32 |
| | - name: answer |
| | dtype: int32 |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | 0: 'False' |
| | 1: 'True' |
| | splits: |
| | - name: test |
| | num_bytes: 14996451 |
| | num_examples: 9693 |
| | - name: train |
| | num_bytes: 46213579 |
| | num_examples: 27243 |
| | - name: validation |
| | num_bytes: 7758918 |
| | num_examples: 4848 |
| | download_size: 1116225 |
| | dataset_size: 68968948 |
| | - config_name: record |
| | features: |
| | - name: passage |
| | dtype: string |
| | - name: query |
| | dtype: string |
| | - name: entities |
| | sequence: string |
| | - name: entity_spans |
| | sequence: |
| | - name: text |
| | dtype: string |
| | - name: start |
| | dtype: int32 |
| | - name: end |
| | dtype: int32 |
| | - name: answers |
| | sequence: string |
| | - name: idx |
| | struct: |
| | - name: passage |
| | dtype: int32 |
| | - name: query |
| | dtype: int32 |
| | splits: |
| | - name: train |
| | num_bytes: 179232052 |
| | num_examples: 100730 |
| | - name: validation |
| | num_bytes: 17479084 |
| | num_examples: 10000 |
| | - name: test |
| | num_bytes: 17200575 |
| | num_examples: 10000 |
| | download_size: 51757880 |
| | dataset_size: 213911711 |
| | - config_name: rte |
| | features: |
| | - name: premise |
| | dtype: string |
| | - name: hypothesis |
| | dtype: string |
| | - name: idx |
| | dtype: int32 |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | 0: entailment |
| | 1: not_entailment |
| | splits: |
| | - name: test |
| | num_bytes: 975799 |
| | num_examples: 3000 |
| | - name: train |
| | num_bytes: 848745 |
| | num_examples: 2490 |
| | - name: validation |
| | num_bytes: 90899 |
| | num_examples: 277 |
| | download_size: 750920 |
| | dataset_size: 1915443 |
| | - config_name: wic |
| | features: |
| | - name: word |
| | dtype: string |
| | - name: sentence1 |
| | dtype: string |
| | - name: sentence2 |
| | dtype: string |
| | - name: start1 |
| | dtype: int32 |
| | - name: start2 |
| | dtype: int32 |
| | - name: end1 |
| | dtype: int32 |
| | - name: end2 |
| | dtype: int32 |
| | - name: idx |
| | dtype: int32 |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | 0: 'False' |
| | 1: 'True' |
| | splits: |
| | - name: test |
| | num_bytes: 180593 |
| | num_examples: 1400 |
| | - name: train |
| | num_bytes: 665183 |
| | num_examples: 5428 |
| | - name: validation |
| | num_bytes: 82623 |
| | num_examples: 638 |
| | download_size: 396213 |
| | dataset_size: 928399 |
| | - config_name: wsc |
| | features: |
| | - name: text |
| | dtype: string |
| | - name: span1_index |
| | dtype: int32 |
| | - name: span2_index |
| | dtype: int32 |
| | - name: span1_text |
| | dtype: string |
| | - name: span2_text |
| | dtype: string |
| | - name: idx |
| | dtype: int32 |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | 0: 'False' |
| | 1: 'True' |
| | splits: |
| | - name: test |
| | num_bytes: 31572 |
| | num_examples: 146 |
| | - name: train |
| | num_bytes: 89883 |
| | num_examples: 554 |
| | - name: validation |
| | num_bytes: 21637 |
| | num_examples: 104 |
| | download_size: 32751 |
| | dataset_size: 143092 |
| | - config_name: wsc.fixed |
| | features: |
| | - name: text |
| | dtype: string |
| | - name: span1_index |
| | dtype: int32 |
| | - name: span2_index |
| | dtype: int32 |
| | - name: span1_text |
| | dtype: string |
| | - name: span2_text |
| | dtype: string |
| | - name: idx |
| | dtype: int32 |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | 0: 'False' |
| | 1: 'True' |
| | splits: |
| | - name: test |
| | num_bytes: 31568 |
| | num_examples: 146 |
| | - name: train |
| | num_bytes: 89883 |
| | num_examples: 554 |
| | - name: validation |
| | num_bytes: 21637 |
| | num_examples: 104 |
| | download_size: 32751 |
| | dataset_size: 143088 |
| | - config_name: axb |
| | features: |
| | - name: sentence1 |
| | dtype: string |
| | - name: sentence2 |
| | dtype: string |
| | - name: idx |
| | dtype: int32 |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | 0: entailment |
| | 1: not_entailment |
| | splits: |
| | - name: test |
| | num_bytes: 238392 |
| | num_examples: 1104 |
| | download_size: 33950 |
| | dataset_size: 238392 |
| | - config_name: axg |
| | features: |
| | - name: premise |
| | dtype: string |
| | - name: hypothesis |
| | dtype: string |
| | - name: idx |
| | dtype: int32 |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | 0: entailment |
| | 1: not_entailment |
| | splits: |
| | - name: test |
| | num_bytes: 53581 |
| | num_examples: 356 |
| | download_size: 10413 |
| | dataset_size: 53581 |
| | --- |
| | |
| | # Dataset Card for "super_glue" |
| | |
| | ## Table of Contents |
| | - [Dataset Description](#dataset-description) |
| | - [Dataset Summary](#dataset-summary) |
| | - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
| | - [Languages](#languages) |
| | - [Dataset Structure](#dataset-structure) |
| | - [Data Instances](#data-instances) |
| | - [Data Fields](#data-fields) |
| | - [Data Splits](#data-splits) |
| | - [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 |
| | |
| | - **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 |
| | |
| | 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 and Leaderboards |
| | |
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| | |
| | ### Languages |
| | |
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| | |
| | ## Dataset Structure |
| | |
| | ### 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 |
| | |
| | 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 |
| |
|
| | #### 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 |
| |
|
| | ### Curation Rationale |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | ### Source Data |
| |
|
| | #### Initial Data Collection and Normalization |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | #### Who are the source language producers? |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | ### Annotations |
| |
|
| | #### Annotation process |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | #### Who are the annotators? |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | ### 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 |
| |
|
| | ### 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 |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | ### Other Known Limitations |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | ## Additional Information |
| |
|
| | ### Dataset Curators |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | ### Licensing Information |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | ### 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. |
