Datasets:
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#8)
d05df08
annotations_creators: | |
- expert-generated | |
language_creators: | |
- other | |
language: | |
- en | |
license: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- extended|other | |
task_categories: | |
- text-classification | |
- token-classification | |
- question-answering | |
task_ids: | |
- natural-language-inference | |
- word-sense-disambiguation | |
- coreference-resolution | |
- extractive-qa | |
paperswithcode_id: superglue | |
pretty_name: SuperGLUE | |
tags: | |
- superglue | |
- NLU | |
- natural language understanding | |
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:** 58.36 MB | |
- **Size of the generated dataset:** 249.57 MB | |
- **Total amount of disk used:** 307.94 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:** 0.24 MB | |
- **Total amount of disk used:** 0.27 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:** 4.12 MB | |
- **Size of the generated dataset:** 10.40 MB | |
- **Total amount of disk used:** 14.52 MB | |
An example of 'train' looks as follows. | |
``` | |
``` | |
#### cb | |
- **Size of downloaded dataset files:** 0.07 MB | |
- **Size of the generated dataset:** 0.20 MB | |
- **Total amount of disk used:** 0.28 MB | |
An example of 'train' looks as follows. | |
``` | |
``` | |
#### copa | |
- **Size of downloaded dataset files:** 0.04 MB | |
- **Size of the generated dataset:** 0.13 MB | |
- **Total amount of disk used:** 0.17 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. |