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	---
	language:
	- en
	paperswithcode_id: winogrande
	pretty_name: WinoGrande
	dataset_info:
	- config_name: winogrande_xs
	features:
	- name: sentence
	dtype: string
	- name: option1
	dtype: string
	- name: option2
	dtype: string
	- name: answer
	dtype: string
	splits:
	- name: train
	num_bytes: 20704
	num_examples: 160
	- name: test
	num_bytes: 227649
	num_examples: 1767
	- name: validation
	num_bytes: 164199
	num_examples: 1267
	download_size: 3395492
	dataset_size: 412552
	- config_name: winogrande_s
	features:
	- name: sentence
	dtype: string
	- name: option1
	dtype: string
	- name: option2
	dtype: string
	- name: answer
	dtype: string
	splits:
	- name: train
	num_bytes: 82308
	num_examples: 640
	- name: test
	num_bytes: 227649
	num_examples: 1767
	- name: validation
	num_bytes: 164199
	num_examples: 1267
	download_size: 3395492
	dataset_size: 474156
	- config_name: winogrande_m
	features:
	- name: sentence
	dtype: string
	- name: option1
	dtype: string
	- name: option2
	dtype: string
	- name: answer
	dtype: string
	splits:
	- name: train
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	num_examples: 2558
	- name: test
	num_bytes: 227649
	num_examples: 1767
	- name: validation
	num_bytes: 164199
	num_examples: 1267
	download_size: 3395492
	dataset_size: 720849
	- config_name: winogrande_l
	features:
	- name: sentence
	dtype: string
	- name: option1
	dtype: string
	- name: option2
	dtype: string
	- name: answer
	dtype: string
	splits:
	- name: train
	num_bytes: 1319576
	num_examples: 10234
	- name: test
	num_bytes: 227649
	num_examples: 1767
	- name: validation
	num_bytes: 164199
	num_examples: 1267
	download_size: 3395492
	dataset_size: 1711424
	- config_name: winogrande_xl
	features:
	- name: sentence
	dtype: string
	- name: option1
	dtype: string
	- name: option2
	dtype: string
	- name: answer
	dtype: string
	splits:
	- name: train
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	num_examples: 40398
	- name: test
	num_bytes: 227649
	num_examples: 1767
	- name: validation
	num_bytes: 164199
	num_examples: 1267
	download_size: 3395492
	dataset_size: 5577680
	- config_name: winogrande_debiased
	features:
	- name: sentence
	dtype: string
	- name: option1
	dtype: string
	- name: option2
	dtype: string
	- name: answer
	dtype: string
	splits:
	- name: train
	num_bytes: 1203420
	num_examples: 9248
	- name: test
	num_bytes: 227649
	num_examples: 1767
	- name: validation
	num_bytes: 164199
	num_examples: 1267
	download_size: 3395492
	dataset_size: 1595268
	---

	# Dataset Card for "winogrande"

	## 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://leaderboard.allenai.org/winogrande/submissions/get-started](https://leaderboard.allenai.org/winogrande/submissions/get-started)
	- 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: 20.37 MB
	- Size of the generated dataset: 10.50 MB
	- Total amount of disk used: 30.87 MB

	### Dataset Summary

	WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
	2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
	fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
	commonsense reasoning.

	### 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

	#### winogrande_debiased

	- Size of downloaded dataset files: 3.40 MB
	- Size of the generated dataset: 1.59 MB
	- Total amount of disk used: 4.99 MB

	An example of 'train' looks as follows.
	```

	```

	#### winogrande_l

	- Size of downloaded dataset files: 3.40 MB
	- Size of the generated dataset: 1.71 MB
	- Total amount of disk used: 5.11 MB

	An example of 'validation' looks as follows.
	```

	```

	#### winogrande_m

	- Size of downloaded dataset files: 3.40 MB
	- Size of the generated dataset: 0.72 MB
	- Total amount of disk used: 4.12 MB

	An example of 'validation' looks as follows.
	```

	```

	#### winogrande_s

	- Size of downloaded dataset files: 3.40 MB
	- Size of the generated dataset: 0.47 MB
	- Total amount of disk used: 3.87 MB

	An example of 'validation' looks as follows.
	```

	```

	#### winogrande_xl

	- Size of downloaded dataset files: 3.40 MB
	- Size of the generated dataset: 5.58 MB
	- Total amount of disk used: 8.98 MB

	An example of 'train' looks as follows.
	```

	```

	### Data Fields

	The data fields are the same among all splits.

	#### winogrande_debiased
	- `sentence`: a `string` feature.
	- `option1`: a `string` feature.
	- `option2`: a `string` feature.
	- `answer`: a `string` feature.

	#### winogrande_l
	- `sentence`: a `string` feature.
	- `option1`: a `string` feature.
	- `option2`: a `string` feature.
	- `answer`: a `string` feature.

	#### winogrande_m
	- `sentence`: a `string` feature.
	- `option1`: a `string` feature.
	- `option2`: a `string` feature.
	- `answer`: a `string` feature.

	#### winogrande_s
	- `sentence`: a `string` feature.
	- `option1`: a `string` feature.
	- `option2`: a `string` feature.
	- `answer`: a `string` feature.

	#### winogrande_xl
	- `sentence`: a `string` feature.
	- `option1`: a `string` feature.
	- `option2`: a `string` feature.
	- `answer`: a `string` feature.

	### Data Splits

	\| name \|train\|validation\|test\|
	\|-------------------\|----:\|---------:\|---:\|
	\|winogrande_debiased\| 9248\| 1267\|1767\|
	\|winogrande_l \|10234\| 1267\|1767\|
	\|winogrande_m \| 2558\| 1267\|1767\|
	\|winogrande_s \| 640\| 1267\|1767\|
	\|winogrande_xl \|40398\| 1267\|1767\|
	\|winogrande_xs \| 160\| 1267\|1767\|

	## 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{ai2:winogrande,
	title = {WinoGrande: An Adversarial Winograd Schema Challenge at Scale},
	authors={Keisuke, Sakaguchi and Ronan, Le Bras and Chandra, Bhagavatula and Yejin, Choi
	},
	year={2019}
	}

	```


	### Contributions

	Thanks to [@thomwolf](https://github.com/thomwolf), [@TevenLeScao](https://github.com/TevenLeScao), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.