MathMindsAGI/OpenMathReasoning_ready

该数据集包含多个特征字段，如预期答案、问题类型、问题来源、生成模型、通过率、问题本身、生成的解决方案、推理模式、是否用于Kaggle竞赛、答案和解决方案等。数据集被划分测试集，包含200000个示例。这些特征表明数据集可能是用于机器学习或自然语言处理任务，如问题生成、解决方案生成等。

The dataset includes multiple feature fields such as expected answer, problem type, problem source, generation model, pass rate, the problem itself, generated solution, inference mode, whether used in Kaggle competition, answer, and solution. The dataset is split into a test set containing 200,000 examples. These features suggest that the dataset might be used for machine learning or natural language processing tasks such as problem generation, solution generation, etc.