DeepMath-103K is a large-scale dataset for training and evaluating mathematical reasoning models jointly released by Tencent and Shanghai Jiao Tong University in 2025. The related paper results are "DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning".

The dataset focuses on math problems of levels 5-9, covering algebra, calculus, number theory, geometry, probability, discrete mathematics and other fields, and focuses on challenging complex reasoning capabilities. The dataset also performs detailed decontamination processing for common benchmarks through semantic matching to minimize test set leakage and promote fair model evaluation.