selfcorrexp2/llama3_sft_first_corr_prompt

该数据集包含多个字段，如索引、目标标签、提示文本、难度等级、类型、解决方案、用户解决方案、预测结果、对话信息等。对话信息包括内容和角色。数据集被划分为训练集，大小为274,180,363字节，共有60,000个示例。数据集适用于机器学习任务，特别是对话系统或相关自然语言处理任务。

The dataset includes multiple fields such as index, ground truth label, prompt text, difficulty level, type, solution, users solution, prediction result, and conversation information. The conversation information includes content and role. The dataset is split into a training set, which is 274,180,363 bytes in size and contains 60,000 examples. The dataset is suitable for machine learning tasks, especially for dialogue systems or related natural language processing tasks.