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DeepMind Mathematics Dataset

The DeepMind Mathematics Dataset consists of synthetically generated math problems. They cover a range of problem types including: Numbers, comparison, measurement, arithmetic, algebra, polynomials, calculus, and probability. These problem types are arranged into a collection of 56 modules each containing different sub-types of problems. The dataset provides the problems in the form of question-answer pairs represented as ASCII text.

Data and Resources

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Cite this as

Joseph Palermo, Johnny Ye, Alok Singh (2024). Dataset: DeepMind Mathematics Dataset. https://doi.org/10.57702/t6c5kkgi

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Joseph Palermo
More Authors	Johnny Ye Alok Singh
Homepage	https://github.com/joepalermo/dm math solvers