TAUR-dev/agg__BC__s1k_deepseekv3

该数据集包含四个浮点数类型的特征：验证（verification）、向后链式（backward_chaining）、回溯（backtracking）和子目标（subgoals）。数据集仅包含一个训练集部分，含有1个示例，总数据量为32字节。数据集的下载大小为2067字节。默认配置下，数据集的训练部分文件路径遵循特定的模式。

The dataset includes four floating-point features: verification, backward_chaining, backtracking, and subgoals. It consists of only one training split with 1 example, totaling 32 bytes in size. The download size of the dataset is 2067 bytes. Under the default configuration, the training part of the dataset follows a specific file path pattern.