Datasets:

Xieyiyiyi
/

ceshi0119

	---
	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
	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'
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	- name: train
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	num_examples: 9427
	- name: validation
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	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:
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	num_examples: 250
	- name: train
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	num_examples: 250
	- name: validation
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	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
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	num_examples: 500
	- name: train
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	num_examples: 400
	- name: validation
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	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:
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	'0': 'False'
	'1': 'True'
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	num_examples: 9693
	- name: train
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	num_examples: 27243
	- name: validation
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	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
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	- name: validation
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	num_examples: 10000
	- name: test
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	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:
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	num_examples: 3000
	- name: train
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	num_examples: 2490
	- name: validation
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	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
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	- name: end2
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	- name: idx
	dtype: int32
	- name: label
	dtype:
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	- name: train
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	- name: validation
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	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:
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	'1': 'True'
	splits:
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	num_examples: 146
	- name: train
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	num_examples: 554
	- name: validation
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	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:
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	'1': 'True'
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	- name: train
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	num_examples: 554
	- name: validation
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	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:
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	'0': entailment
	'1': not_entailment
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	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
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	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.