winogrande

# 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.

# “Winogrande”数据集卡片

## 目录
- [数据集概述](#dataset-description)
- [数据集总览](#dataset-summary)
- [支持任务与基准测试榜](#supported-tasks-and-leaderboards)
- [语言](#languages)
- [数据集结构](#dataset-structure)
- [数据实例](#data-instances)
- [数据字段](#data-fields)
- [数据划分](#data-splits)
- [数据集构建](#dataset-creation)
- [遴选依据](#curation-rationale)
- [源数据](#source-data)
- [标注](#annotations)
- [个人与敏感信息](#personal-and-sensitive-information)
- [数据集使用注意事项](#considerations-for-using-the-data)
- [数据集的社会影响](#social-impact-of-dataset)
- [偏差讨论](#discussion-of-biases)
- [其他已知局限性](#other-known-limitations)
- [附加信息](#additional-information)
- [数据集维护者](#dataset-curators)
- [许可信息](#licensing-information)
- [引用信息](#citation-information)
- [贡献致谢](#contributions)

## 数据集概述

- **主页：** [https://leaderboard.allenai.org/winogrande/submissions/get-started](https://leaderboard.allenai.org/winogrande/submissions/get-started)
- **代码仓库：** [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **相关论文：** [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **联系人：** [更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **下载数据集文件大小：** 20.37 MB
- **生成数据集大小：** 10.50 MB
- **总磁盘占用量：** 30.87 MB

### 数据集总览

WinoGrande是一个包含4.4万个问题的全新集合，其灵感源自Winograd模式挑战（Winograd Schema Challenge，Levesque、Davis与Morgenstern，2011），经过调整以提升数据集规模并增强针对特定数据集偏差的鲁棒性。该任务被构建为带二元选项的填空任务，目标是为需要常识推理的给定句子选择正确答案。

### 支持任务与基准测试榜

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 语言

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## 数据集结构

### 数据实例

#### winogrande_debiased
- **下载数据集文件大小：** 3.40 MB
- **生成数据集大小：** 1.59 MB
- **总磁盘占用量：** 4.99 MB

训练集示例如下：

#### winogrande_l
- **下载数据集文件大小：** 3.40 MB
- **生成数据集大小：** 1.71 MB
- **总磁盘占用量：** 5.11 MB

验证集示例如下：

#### winogrande_m
- **下载数据集文件大小：** 3.40 MB
- **生成数据集大小：** 0.72 MB
- **总磁盘占用量：** 4.12 MB

验证集示例如下：

#### winogrande_s
- **下载数据集文件大小：** 3.40 MB
- **生成数据集大小：** 0.47 MB
- **总磁盘占用量：** 3.87 MB

验证集示例如下：

#### winogrande_xl
- **下载数据集文件大小：** 3.40 MB
- **生成数据集大小：** 5.58 MB
- **总磁盘占用量：** 8.98 MB

训练集示例如下：

### 数据字段

所有划分的数据字段均保持一致。

#### winogrande_debiased
- `sentence`：字符串（string）类型特征
- `option1`：字符串类型特征
- `option2`：字符串类型特征
- `answer`：字符串类型特征

#### winogrande_l
- `sentence`：字符串类型特征
- `option1`：字符串类型特征
- `option2`：字符串类型特征
- `answer`：字符串类型特征

#### winogrande_m
- `sentence`：字符串类型特征
- `option1`：字符串类型特征
- `option2`：字符串类型特征
- `answer`：字符串类型特征

#### winogrande_s
- `sentence`：字符串类型特征
- `option1`：字符串类型特征
- `option2`：字符串类型特征
- `answer`：字符串类型特征

#### winogrande_xl
- `sentence`：字符串类型特征
- `option1`：字符串类型特征
- `option2`：字符串类型特征
- `answer`：字符串类型特征

### 数据划分

| 数据集名称 | 训练集 | 验证集 | 测试集 |
|-------------------|----:|---------:|---:|
|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|

## 数据集构建

### 遴选依据

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 源数据

#### 初始数据收集与标准化

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### 源语言生成者是谁？

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 标注

#### 标注流程

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### 标注人员是谁？

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 个人与敏感信息

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## 数据集使用注意事项

### 数据集的社会影响

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 偏差讨论

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 其他已知局限性

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## 附加信息

### 数据集维护者

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 许可信息

[更多信息待补充](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 引用信息

@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}
}

### 贡献致谢

感谢[@thomwolf](https://github.com/thomwolf)、[@TevenLeScao](https://github.com/TevenLeScao)、[@patrickvonplaten](https://github.com/patrickvonplaten)、[@lewtun](https://github.com/lewtun)为本数据集的添加做出的贡献。