TAUR-dev/solution-trees__short-and-wide_p3_batch34

该数据集包含了解题过程中的多个信息，如解决方案(solution)、问题(question)、问题类型(cot_type)、来源类型(source_type)、元数据(metadata)、两种方法的思考轨迹(gemini_thinking_trajectory和deepseek_thinking_trajectory)、尝试次数(gemini_attempt和deepseek_attempt)、两种方法的评分(gemini_grade和deepseek_grade)及评分原因(gemini_grade_reason和deepseek_grade_reason)，以及相关树结构信息(trees)。数据集分为训练集(train)，共有1000个示例，总大小为536,698,445字节。

The dataset contains multiple pieces of information about the problem-solving process, such as solution, question, cot_type, source_type, metadata, thinking trajectories of two methods (gemini_thinking_trajectory and deepseek_thinking_trajectory), number of attempts (gemini_attempt and deepseek_attempt), ratings (gemini_grade and deepseek_grade) and reasons for the ratings (gemini_grade_reason and deepseek_grade_reason), as well as related tree structure information (trees). The dataset is split into a training set (train) with a total of 1000 examples and a size of 536,698,445 bytes.