Hendrycks MATH Dataset Dataset Description The MATH dataset is a collection of mathematics competition problems designed to evaluate mathematical reasoning and problem solving capabilities in computational systems. Containing 12,500 high school competition level mathematics problems, this dataset is notable for including detailed step by step solutions alongside each problem. Dataset Summary The dataset consists of mathematics problems spanning multiple difficulty levels (1 5) and various mathematical subjects including: Prealgebra Algebra Number Theory Counting and Probability Geometry Intermediate Algebra Precalculus Each problem comes with: A complete problem statement A step by step solution A final answer Difficulty rating Subject classification Data Split The dataset is divided into: Training set: 12,000 Test set: 500 problems Dataset Creation Citation Source Data The problems originate from high school mathematics competitions, including competitions like the AMC 10, AMC 12, and AIME. These represent carefully curated, high quality mathematical problems that test conceptual understanding and problem solving abilities rather than just computational skills. Annotations Each pr…
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