mlfoundations-dev/multiple_samples_ground_truth_openr1

该数据集包含了问题、解决方案、答案、问题类型、问题询问方式、问题有效性、解决方案有效性、数据来源、是否为合成数据、生成次数、数学验证的正确性、正确计数以及生成信息等字段。数据集主要用于训练机器学习模型，解决文本问题，并提供了训练集分割。训练集大小为6809263589字节，共有441510个示例。

The dataset includes fields such as problem, solution, answer, problem type, question type, problem validity, solution validity, data source, whether it is synthetic data, number of generations, correctness of mathematical verification, correct count, and generation information. The dataset is primarily used for training machine learning models to solve text-based problems and provides a training set split. The training set is 6809263589 bytes in size and contains 441510 examples.