race

• Description:

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.

• Additional Documentation: Explore on Papers With Code

• Config description: Builder config for RACE dataset.

• Homepage: https://www.cs.cmu.edu/~glai1/data/race/

• Source code: tfds.datasets.race.Builder

• Versions:

  • 1.0.0: Initial release.
  • 2.0.0 (default): Add the example id.

• Download size: 24.26 MiB

• Auto-cached (documentation): Yes

• Feature structure:

FeaturesDict({
    'answers': Sequence(Text(shape=(), dtype=string)),
    'article': Text(shape=(), dtype=string),
    'example_id': Text(shape=(), dtype=string),
    'options': Sequence(Sequence(Text(shape=(), dtype=string))),
    'questions': Sequence(Text(shape=(), dtype=string)),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
answers	Sequence(Text)	(None,)	string
article	Text		string
example_id	Text		string
options	Sequence(Sequence(Text))	(None, None)	string
questions	Sequence(Text)	(None,)	string

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Citation:

@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}
}

race/high (default config)

• Dataset size: 52.39 MiB

• Splits:

Split	Examples
'dev'	1,021
'test'	1,045
'train'	18,728

• Examples (tfds.as_dataframe):

race/middle

• Dataset size: 12.51 MiB

• Splits:

Split	Examples
'dev'	368
'test'	362
'train'	6,409

• Examples (tfds.as_dataframe):