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LIMO (Less Is More for Reasoning) is a mathematical reasoning dataset that aims to train and evaluate the mathematical reasoning ability of large models by carefully selecting high-quality training samples.LIMO: Less is More for ReasoningThis dataset is mainly used to train the mathematical problem-solving ability of large models and improve their performance in mathematical exams and competition questions (such as AIME, MATH-500, etc.).

The LIMO dataset is characterized by high quality, small scale, and high efficiency. The dataset contains only 817 high-quality mathematical reasoning samples, but it scored 44.5 in the AIME 2025 evaluation, which is close to the model trained with 800,000 samples.