

# "race" Grouped by Article

This is a modified version of https://huggingface.co/datasets/race that returns documents grouped by article context instead of by question. **Note:** This dataset currently only contains that test set of the ```high``` subset of the data. 

The original readme is contained below.

# Dataset Card for "race"

## 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:** [http://www.cs.cmu.edu/~glai1/data/race/](http://www.cs.cmu.edu/~glai1/data/race/)
- **Repository:** https://github.com/qizhex/RACE_AR_baselines
- **Paper:** [RACE: Large-scale ReAding Comprehension Dataset From Examinations](https://arxiv.org/abs/1704.04683)
- **Point of Contact:** [Guokun Lai](mailto:guokun@cs.cmu.edu), [Qizhe Xie](mailto:qzxie@cs.cmu.edu)
- **Size of downloaded dataset files:** 76.33 MB
- **Size of the generated dataset:** 349.46 MB
- **Total amount of disk used:** 425.80 MB

### Dataset Summary

RACE is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The
 dataset is collected from English examinations in China, which are designed for middle school and high school students.
The dataset can be served as the training and test sets for machine comprehension.

### 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

#### all

- **Size of downloaded dataset files:** 25.44 MB
- **Size of the generated dataset:** 174.73 MB
- **Total amount of disk used:** 200.17 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "answer": "A",
    "article": "\"Schoolgirls have been wearing such short skirts at Paget High School in Branston that they've been ordered to wear trousers ins...",
    "example_id": "high132.txt",
    "options": ["short skirts give people the impression of sexualisation", "short skirts are too expensive for parents to afford", "the headmaster doesn't like girls wearing short skirts", "the girls wearing short skirts will be at the risk of being laughed at"],
    "question": "The girls at Paget High School are not allowed to wear skirts in that    _  ."
}
```

#### high

- **Size of downloaded dataset files:** 25.44 MB
- **Size of the generated dataset:** 140.12 MB
- **Total amount of disk used:** 165.56 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "answer": "A",
    "article": "\"Schoolgirls have been wearing such short skirts at Paget High School in Branston that they've been ordered to wear trousers ins...",
    "example_id": "high132.txt",
    "options": ["short skirts give people the impression of sexualisation", "short skirts are too expensive for parents to afford", "the headmaster doesn't like girls wearing short skirts", "the girls wearing short skirts will be at the risk of being laughed at"],
    "question": "The girls at Paget High School are not allowed to wear skirts in that    _  ."
}
```

#### middle

- **Size of downloaded dataset files:** 25.44 MB
- **Size of the generated dataset:** 34.61 MB
- **Total amount of disk used:** 60.05 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "answer": "B",
    "article": "\"There is not enough oil in the world now. As time goes by, it becomes less and less, so what are we going to do when it runs ou...",
    "example_id": "middle3.txt",
    "options": ["There is more petroleum than we can use now.", "Trees are needed for some other things besides making gas.", "We got electricity from ocean tides in the old days.", "Gas wasn't used to run cars in the Second World War."],
    "question": "According to the passage, which of the following statements is TRUE?"
}
```

### Data Fields

The data fields are the same among all splits.

#### all
- `example_id`: a `string` feature.
- `article`: a `string` feature.
- `answer`: a `string` feature.
- `question`: a `string` feature.
- `options`: a `list` of `string` features.

#### high
- `example_id`: a `string` feature.
- `article`: a `string` feature.
- `answer`: a `string` feature.
- `question`: a `string` feature.
- `options`: a `list` of `string` features.

#### middle
- `example_id`: a `string` feature.
- `article`: a `string` feature.
- `answer`: a `string` feature.
- `question`: a `string` feature.
- `options`: a `list` of `string` features.

### Data Splits

| name |train|validation|test|
|------|----:|---------:|---:|
|all   |87866|      4887|4934|
|high  |62445|      3451|3498|
|middle|25421|      1436|1436|

## 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

http://www.cs.cmu.edu/~glai1/data/race/

1. RACE dataset is available for non-commercial research purpose only.

2. All passages are obtained from the Internet which is not property of Carnegie Mellon University. We are not responsible for the content nor the meaning of these passages.

3. You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purpose, any portion of the contexts and any portion of derived data.

4. We reserve the right to terminate your access to the RACE dataset at any time.

### Citation Information

```
@inproceedings{lai-etal-2017-race,
    title = "{RACE}: Large-scale {R}e{A}ding Comprehension Dataset From Examinations",
    author = "Lai, Guokun  and
      Xie, Qizhe  and
      Liu, Hanxiao  and
      Yang, Yiming  and
      Hovy, Eduard",
    booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D17-1082",
    doi = "10.18653/v1/D17-1082",
    pages = "785--794",
}
```


### Contributions

Thanks to [@abarbosa94](https://github.com/abarbosa94), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.
task_categories:multiple-choice task_ids:multiple-choice-qa annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:en license:other arxiv:1704.04683 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["other"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["multiple-choice"], "task_ids": ["multiple-choice-qa"], "paperswithcode_id": "race", "pretty_name": "RACE"}
TAGS
#task_categories-multiple-choice #task_ids-multiple-choice-qa #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-other #arxiv-1704.04683 #region-us 

"race" Grouped by Article
=========================


This is a modified version of URL that returns documents grouped by article context instead of by question. Note: This dataset currently only contains that test set of the subset of the data.


The original readme is contained below.


Dataset Card for "race"
=======================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage: URL
* Repository: URL
* Paper: RACE: Large-scale ReAding Comprehension Dataset From Examinations
* Point of Contact: Guokun Lai, Qizhe Xie
* Size of downloaded dataset files: 76.33 MB
* Size of the generated dataset: 349.46 MB
* Total amount of disk used: 425.80 MB


### Dataset Summary


RACE is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The
dataset is collected from English examinations in China, which are designed for middle school and high school students.
The dataset can be served as the training and test sets for machine comprehension.


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


#### all


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 174.73 MB
* Total amount of disk used: 200.17 MB


An example of 'train' looks as follows.


#### high


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 140.12 MB
* Total amount of disk used: 165.56 MB


An example of 'train' looks as follows.


#### middle


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 34.61 MB
* Total amount of disk used: 60.05 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### all


* 'example\_id': a 'string' feature.
* 'article': a 'string' feature.
* 'answer': a 'string' feature.
* 'question': a 'string' feature.
* 'options': a 'list' of 'string' features.


#### high


* 'example\_id': a 'string' feature.
* 'article': a 'string' feature.
* 'answer': a 'string' feature.
* 'question': a 'string' feature.
* 'options': a 'list' of 'string' features.


#### middle


* 'example\_id': a 'string' feature.
* 'article': a 'string' feature.
* 'answer': a 'string' feature.
* 'question': a 'string' feature.
* 'options': a 'list' of 'string' features.


### Data Splits



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


URL


1. RACE dataset is available for non-commercial research purpose only.
2. All passages are obtained from the Internet which is not property of Carnegie Mellon University. We are not responsible for the content nor the meaning of these passages.
3. You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purpose, any portion of the contexts and any portion of derived data.
4. We reserve the right to terminate your access to the RACE dataset at any time.


### Contributions


Thanks to @abarbosa94, @patrickvonplaten, @lewtun, @thomwolf, @mariamabarham for adding this dataset.



### Dataset Summary


RACE is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The
dataset is collected from English examinations in China, which are designed for middle school and high school students.
The dataset can be served as the training and test sets for machine comprehension. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### all


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 174.73 MB
* Total amount of disk used: 200.17 MB


An example of 'train' looks as follows. #### high


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 140.12 MB
* Total amount of disk used: 165.56 MB


An example of 'train' looks as follows. #### middle


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 34.61 MB
* Total amount of disk used: 60.05 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### all


* 'example\_id': a 'string' feature.
* 'article': a 'string' feature.
* 'answer': a 'string' feature.
* 'question': a 'string' feature.
* 'options': a 'list' of 'string' features. #### high


* 'example\_id': a 'string' feature.
* 'article': a 'string' feature.
* 'answer': a 'string' feature.
* 'question': a 'string' feature.
* 'options': a 'list' of 'string' features. #### middle


* 'example\_id': a 'string' feature.
* 'article': a 'string' feature.
* 'answer': a 'string' feature.
* 'question': a 'string' feature.
* 'options': a 'list' of 'string' features. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


URL


1. RACE dataset is available for non-commercial research purpose only.
2. All passages are obtained from the Internet which is not property of Carnegie Mellon University. We are not responsible for the content nor the meaning of these passages.
3. You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purpose, any portion of the contexts and any portion of derived data.
4. We reserve the right to terminate your access to the RACE dataset at any time. ### Contributions


Thanks to @abarbosa94, @patrickvonplaten, @lewtun, @thomwolf, @mariamabarham for adding this dataset.
TAGS
#task_categories-multiple-choice #task_ids-multiple-choice-qa #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-other #arxiv-1704.04683 #region-us 
 ### Dataset Summary


RACE is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The
dataset is collected from English examinations in China, which are designed for middle school and high school students.
The dataset can be served as the training and test sets for machine comprehension. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### all


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 174.73 MB
* Total amount of disk used: 200.17 MB


An example of 'train' looks as follows. #### high


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 140.12 MB
* Total amount of disk used: 165.56 MB


An example of 'train' looks as follows. #### middle


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 34.61 MB
* Total amount of disk used: 60.05 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### all


* 'example\_id': a 'string' feature.
* 'article': a 'string' feature.
* 'answer': a 'string' feature.
* 'question': a 'string' feature.
* 'options': a 'list' of 'string' features. #### high


* 'example\_id': a 'string' feature.
* 'article': a 'string' feature.
* 'answer': a 'string' feature.
* 'question': a 'string' feature.
* 'options': a 'list' of 'string' features. #### middle


* 'example\_id': a 'string' feature.
* 'article': a 'string' feature.
* 'answer': a 'string' feature.
* 'question': a 'string' feature.
* 'options': a 'list' of 'string' features. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information


URL


1. RACE dataset is available for non-commercial research purpose only.
2. All passages are obtained from the Internet which is not property of Carnegie Mellon University. We are not responsible for the content nor the meaning of these passages.
3. You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purpose, any portion of the contexts and any portion of derived data.
4. We reserve the right to terminate your access to the RACE dataset at any time. ### Contributions


Thanks to @abarbosa94, @patrickvonplaten, @lewtun, @thomwolf, @mariamabarham for adding this dataset.
passage: TAGS
#task_categories-multiple-choice #task_ids-multiple-choice-qa #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-other #arxiv-1704.04683 #region-us 
### Dataset Summary


RACE is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The
dataset is collected from English examinations in China, which are designed for middle school and high school students.
The dataset can be served as the training and test sets for machine comprehension.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### all


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 174.73 MB
* Total amount of disk used: 200.17 MB


An example of 'train' looks as follows.#### high


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 140.12 MB
* Total amount of disk used: 165.56 MB


An example of 'train' looks as follows.#### middle


* Size of downloaded dataset files: 25.44 MB
* Size of the generated dataset: 34.61 MB
* Total amount of disk used: 60.05 MB


An example of 'train' looks as follows.### Data Fields


The data fields are the same among all splits.#### all


* 'example\_id': a 'string' feature.
* 'article': a 'string' feature.
* 'answer': a 'string' feature.
* 'question': a 'string' feature.
* 'options': a 'list' of 'string' features.