Dataset:



Dataset Card for "race"

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

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Languages

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

all

  • Size of downloaded dataset files: 24.26 MB
  • Size of the generated dataset: 166.64 MB
  • Total amount of disk used: 190.90 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: 24.26 MB
  • Size of the generated dataset: 133.63 MB
  • Total amount of disk used: 157.89 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: 24.26 MB
  • Size of the generated dataset: 33.01 MB
  • Total amount of disk used: 57.27 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 Sample Size

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

Dataset Creation

Curation Rationale

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Source Data

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@article{lai2017large,
    title={RACE: Large-scale ReAding Comprehension Dataset From Examinations},
    author={Lai, Guokun and Xie, Qizhe and Liu, Hanxiao and Yang, Yiming and Hovy, Eduard},
    journal={arXiv preprint arXiv:1704.04683},
    year={2017}
}

Contributions

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

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Models trained or fine-tuned on race