TAUR-dev/D-ExpTracker__1023_longmult__sftckpt_longmult3dig__v1

该数据集包含两部分：日志数据和元数据。日志数据提供了实验过程中每个阶段的详细信息，包括时间戳、阶段名称、阶段编号、级别、消息、标准输出和错误输出内容、实验名称、耗时和阶段是否完成。元数据则包含了实验的描述性信息，如实验名称、开始时间、描述、基础组织、阶段编号、阶段类型和状态。数据集分为训练集，适合用于机器学习模型的训练。

The dataset consists of two parts: log data and metadata. The log data provides detailed information about each stage of the experiment, including timestamp, stage name, stage number, level, message, standard output and error output content, experiment name, elapsed time, and whether the stage is completed. The metadata contains descriptive information about the experiment, such as experiment name, start time, description, base organization, stage number, stage type, and status. The dataset is split into a training set, suitable for training machine learning models.