You're currently viewing an old version of this dataset. To see the current version, click here.

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

Cite this as

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

DOI retrieved: December 16, 2024

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