ketchup123/smoltalk-annotated-full-backup

该数据集是一个包含对话信息的训练集，其中包括会话ID、指令、响应、消息内容、角色、来源、意图、知识、难度、输入质量、质量说明、质量生成器、任务类别、其他任务类别、llama_guard_2、语言、轮次、指令奖励、奖励模型、多轮指令奖励和奖励说明等字段。数据集用于训练对话生成或理解模型，共有1024791个示例，大小为6.97GB。

This dataset is a training set containing conversation information, including fields such as conversation_id, instruction, response, message content, role, source, intent, knowledge, difficulty, input quality, quality explanation, quality generator, task category, other task category, llama_guard_2, language, turn, instruction reward, reward model, multi-turn instruction reward, and reward explanation. The dataset is used for training dialogue generation or understanding models, with a total of 1,024,791 examples and a size of 6.97GB.