TAUR-dev/raw__BC__all_baseline_evals_on_lm_4d_EVAL

该数据集包含问题、解决方案、内部评估、评估解决方案、判断正确性、判断理由、代码仓库、行为提示、行为类型、行为跨度等信息。数据集分为训练集，提供了训练集的字节大小和示例数量。数据集的下载大小和总体大小也已给出。

The dataset includes information such as questions, solutions, internal evaluation, solution evaluation, correctness judgment, reasoning for judgment, code repository, behavior prompt, behavior type, and behavior spans. The dataset is split into a training set, with the byte size and number of examples provided for the training set. The download size and total size of the dataset are also given.