chrisgru/r_ro_quality_small

该数据集包含对话数据，每个对话包含角色、内容、元数据（如质量评分、深度、是否包含代码、是否包含引用、正式程度和作者）以及线程指标（如持续时间、唯一参与者和平均质量）。此外，每个对话还有一个相关性评分。数据集仅包含训练集，共有129,383个示例，总大小为206,352,569字节。

The dataset contains conversation data, where each conversation consists of a role, content, and metadata. Metadata includes quality score, depth, presence of code, presence of citations, formality, and author among other attributes. Additionally, the dataset includes thread metrics such as duration, number of unique participants, and average quality, along with a relevance score. The dataset is divided into a training set with 129,383 samples.