|
--- |
|
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 |
|
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|
dtype: int32 |
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- name: label |
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dtype: |
|
class_label: |
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names: |
|
0: 'False' |
|
1: 'True' |
|
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|
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|
num_bytes: 2107997 |
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num_examples: 3245 |
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- 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 |
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dtype: string |
|
- name: question |
|
dtype: string |
|
- name: idx |
|
dtype: int32 |
|
- name: label |
|
dtype: |
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names: |
|
0: choice1 |
|
1: choice2 |
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num_bytes: 60303 |
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num_examples: 500 |
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- name: train |
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num_bytes: 49599 |
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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 |
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dtype: int32 |
|
- name: answer |
|
dtype: int32 |
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- name: label |
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dtype: |
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class_label: |
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names: |
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0: 'False' |
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1: 'True' |
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splits: |
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- name: test |
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num_bytes: 46213579 |
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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 |
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- name: idx |
|
struct: |
|
- name: passage |
|
dtype: int32 |
|
- name: query |
|
dtype: int32 |
|
splits: |
|
- name: train |
|
num_bytes: 179232052 |
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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 |
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dtype: |
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class_label: |
|
names: |
|
0: entailment |
|
1: not_entailment |
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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 |
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dtype: int32 |
|
- name: idx |
|
dtype: int32 |
|
- name: label |
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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 |
|
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|
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 |
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- name: idx |
|
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- name: label |
|
dtype: |
|
class_label: |
|
names: |
|
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|
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|
splits: |
|
- name: test |
|
num_bytes: 31568 |
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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: |
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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. |