nmayorga7/GPU-bbq-qwen3-235b-a22b-2507

该数据集包含了三个配置的结果、样本和统计信息，主要用于训练和评估模型。它包含了多种特征，如日志路径、评估ID、运行ID、创建时间、任务类型、任务ID、模型类型、样本ID、迭代次数、目标、消息、元数据类别、问题极性、上下文条件、评分器值和答案等。数据集按照train split进行划分，每个split包含不同数量的样本和字节数。

The dataset consists of three configurations: results, samples, and stats, primarily used for training and evaluating models. It includes various features such as log path, evaluation ID, run ID, creation time, task type, task ID, model type, sample ID, epoch number, target, messages, metadata category, question polarity, context condition, scorer value, and answer. The dataset is split into train splits, each containing a different number of samples and byte sizes.