intelsense/smol-magpie-ultra-bn

这个数据集包含了对话信息，每个对话有内容（content）和角色（role）标识，同时还标注了对话的分类（category）、难度（difficulty）、质量（quality）、奖励模型得分（reward_model_score）和对话令牌数量（conversation_tokens）。数据集分为训练集，共有9150个示例，大小为152,406,250字节。

This dataset includes conversation information, with each conversation having content (content) and role (role) identification, as well as annotations for conversation category (category), difficulty (difficulty), quality (quality), reward model score (reward_model_score), and the number of conversation tokens (conversation_tokens). The dataset is split into a training set, containing 9150 examples, with a size of 152,406,250 bytes.