TAUR-dev/syncotv2_short_step2__gpt4omini_annotator

该数据集包含了问题和解决方案的相关信息，以及思考和尝试的轨迹。具体字段包括解决方案、问题、cot类型、数据来源类型、元数据、Gemini和Deepseek的思考和尝试轨迹、评分及评分理由、cot步骤、扩展cot步骤和扩展cot。数据集分为训练集，共有1000个示例。

The dataset contains information related to questions and solutions, as well as the trajectory of thinking and attempts. Specific fields include solution, question, cot type, source type, metadata, Gemini and Deepseek thinking and attempt trajectories, grades and grading reasons, cot steps, expanded cot steps, and expanded cot. The dataset is split into a training set with a total of 1000 examples.