gsm8k

• Description:

A dataset of 8.5K high quality linguistically diverse grade school math word problems.

• Additional Documentation: Explore on Papers With Code

• Homepage: https://github.com/openai/grade-school-math

• Source code: tfds.text.gsm8k.Gsm8k

• Versions:

  • 1.0.0 (default): Initial release.

• Download size: 10.77 MiB

• Dataset size: 17.84 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'test'	1,319
'test_socratic'	1,319
'train'	7,473
'train_socratic'	7,473

• Feature structure:

FeaturesDict({
    'annotation': Text(shape=(), dtype=string),
    'answer': Text(shape=(), dtype=string),
    'question': Text(shape=(), dtype=string),
    'short_answer': Text(shape=(), dtype=string),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
annotation	Text		string
answer	Text		string
question	Text		string
short_answer	Text		string

• Supervised keys (See as_supervised doc): None

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe):

• Citation:

@misc{cobbe2021training,
      title={Training Verifiers to Solve Math Word Problems},
      author={Karl Cobbe and Vineet Kosaraju and Mohammad Bavarian and Jacob Hilton and Reiichiro Nakano and Christopher Hesse and John Schulman},
      year={2021},
      eprint={2110.14168},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}