violetxi/NUMINA-V1-Clean-Steps-0_100-1_100

该数据集包含多个字段，主要用于记录和评估问题解答的准确性。每个记录包括问题（problem）、是否正确（is_correct）、目标答案（target_answer）、解答（solution）、解答步骤（solution_steps）、尝试次数（attempts）和模型答案（model_answer）。数据集目前仅包含训练集，共有797,776个例子，总大小为9,266,475,349字节。

This dataset includes multiple fields primarily used for recording and evaluating the accuracy of problem-solving. Each record contains a problem, whether it is correct (is_correct), the target answer (target_answer), the solution, solution steps (solution_steps), attempts, and the models answer (model_answer). The dataset currently only includes a training set with 797,776 examples, totaling 9,266,475,349 bytes.