selfcorrexp2/llama31_no_additional_chat_format_add76k

该数据集是一个对话数据集，包含用户与系统之间的交互信息。数据集中的每个样本都包含了问题的索引、提示信息、答案序列、是否为对话的第一轮、正确答案、奖励标识、用户的解决方案、标记位、对话轮次数、对话内容（包括对话内容和角色）、问题文本、正确答案的上下文信息、问题的难度等级、问题类型、解决方案文本、预测答案和代码片段等。数据集分为训练集，包含大量样本，可用于训练对话系统或进行对话分析研究。

This dataset is a dialogue dataset containing interaction information between users and systems. Each sample in the dataset includes the index of the question, prompt information, answer sequence, whether it is the first round of the conversation, the correct answer, reward identification, users solution, flag, the number of turns in the conversation, conversation content (including content and role), question text, context of the correct answer, the difficulty level of the question, question type, solution text, predicted answer, and code snippet, etc. The dataset is split into a training set, containing a large number of samples, which can be used for training dialogue systems or conducting dialogue analysis research.