TAUR-dev/agg__BC__lmfd__no_verification_v3__train

该数据集包含代码仓库的相关信息，具体包括仓库的名称（repo），以及代码的回溯（backtracking）、子目标（subgoals）和验证（verification）等三个指标的原始和标准化数据。此外，还包括样本数量（n_samples）、平均行中断数（avg_line_breaks）、总平均数（total_avg）和平均单词数（word_count_avg）。数据集分为训练集，大小为148字节。

The dataset includes information related to code repositories, specifically the name of the repository (repo), and the raw and normalized data for three indicators of the code: backtracking, subgoals, and verification. In addition, it includes the number of samples (n_samples), average number of line breaks (avg_line_breaks), total average (total_avg), and average word count (word_count_avg). The dataset is split into a training set, which is 148 bytes in size.