TAUR-dev/evals__bf4k_short_syncot_v2__samples

该数据集包含文档ID、文档内容（包括答案、难度等级、问题、解决方案、学科和唯一标识符）、目标、参数（包括生成参数等）、响应和过滤后的响应等字段。数据集被划分为训练集，大小为43794593字节，共有500个示例。提供了默认配置，指定了训练数据的文件路径。

The dataset includes fields such as document ID, document content (including answer, level, problem, solution, subject, and unique identifier), target, arguments (including generation arguments), responses, and filtered responses. The dataset is split into a training set, which is 43794593 bytes in size and contains 500 examples. A default configuration is provided, specifying the file path for the training data.