Ta6ris/OpenMathInstruct-1

OpenMathInstruct-1是一个数学指令调优数据集，包含180万个问题-解决方案对。这些问题来自GSM8K和MATH的训练子集，解决方案是通过使用Mixtral-8x7B模型生成的，结合了文本推理和Python解释器执行的代码块。数据集包含以下字段：问题（来自GSM8K或MATH训练集）、生成的解决方案（结合文本推理和代码块）、预期答案（原始数据集中的真实答案）、预测答案（Mixtral模型生成的答案）、错误消息（如果代码未执行则为<not_executed>，否则为空或包含Python异常）、是否正确（根据评分脚本判断）、数据集来源（gsm8k或math）和生成类型（without_reference_solution或masked_reference_solution）。数据集还发布了用于生成部分数据的掩码解决方案。

OpenMathInstruct-1 is a math instruction tuning dataset with 1.8M problem-solution pairs generated using the Mixtral-8x7B model. The problems are from GSM8K and MATH training subsets, and the solutions are synthetically generated by allowing the Mixtral model to use a mix of text reasoning and code blocks executed by a Python interpreter. The dataset includes fields such as question, generated_solution, expected_answer, predicted_answer, error_message, is_correct, dataset, and generation_type. It also releases masked solutions used to produce part of the dataset and demonstrates the quality of this data through a series of OpenMath models trained on it.