TAUR-dev/stapled-cots-dataset

该数据集包含了解决方案(solution)、问题(question)、cot类型(cot_type)、来源类型(source_type)等字段的信息。它还包含了不同模型的思考轨迹和尝试次数，以及评分和评分原因。数据集分为训练集，大小为764102字节，共有10个示例。具体的数据集用途和背景未在README中说明。

The dataset includes information fields such as solution, question, cot_type, source_type, etc. It also contains thinking trajectories and attempt counts for different models, as well as grades and reasons for the grades. The dataset is split into a training set, which is 764102 bytes in size and contains 10 examples. The specific purpose and background of the dataset are not described in the README.