TAUR-dev/linearized-solutions-rule-based__15k__gpt-4o-mini-annotator
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资源简介：
该数据集包含了解决方案、问题、不同类型的思考轨迹、评分及其原因等多个字段。数据集专为训练而设计，提供了1000个示例，数据大小为788,675,025字节。数据集采用默认配置，数据文件存储在特定路径下。
The dataset includes fields for solutions, questions, different types of thinking trajectories, grades, and reasons for the grades. Designed for training, the dataset provides 1000 examples with a size of 788,675,025 bytes. The dataset uses a default configuration with data files stored at specific paths.
提供机构：
TAUR-dev
