TAUR-dev/agg__BC__s1k_gpt4omini_CoT

该数据集包含四个浮点类型特征：verification、backtracking、backward_chaining和subgoals。数据集目前只有一个训练集划分，大小为32字节。整个数据集的下载大小为2067字节，数据集的实际大小也是32字节。数据集的配置信息中包含默认配置，指定了训练数据文件的路径。

The dataset includes four float64 features: verification, backtracking, backward_chaining, and subgoals. There is currently only one training split in the dataset, which is 32 bytes in size. The download size of the entire dataset is 2067 bytes, and the actual size of the dataset is also 32 bytes. The configuration information of the dataset contains a default configuration that specifies the path to the training data files.