TAUR-dev/lmfd_train_r1__steps_with_stats

该数据集包含了数学问题的描述、解决方案、内部评估、评估解决方案、正确性判断、评估推理、评估提示、评估步骤及其内容、步骤类型、子目标、验证子目标、步骤字数、跟踪字数、字数差异、评估步骤统计信息和聚合信息等字段。数据集分为训练集，共有9个示例，大小为638806字节。

The dataset includes fields such as math problem description, solution, internal evaluation, solution evaluation, correctness judgment, reasoning evaluation, evaluation prompt, evaluation steps and their content, step type, subgoal, verifying subgoal, step word count, trace word count, word count difference, evaluation step statistics, and aggregate information. The dataset is split into a training set with 9 examples, totaling 638806 bytes in size.