selfcorrexp2/llama3_sft_more_corr_rr60k

该数据集包含了一系列的字段，用于表示对话的上下文、用户和模型的回答、以及一些用于训练的标签信息。具体包括对话的索引、提示信息、是否为第一轮对话、真实标签、奖励信号、用户的解决方案、是否为正确答案的标志、对话轮数、对话内容以及角色信息等。数据集分为训练集，包含365599个示例。但数据集的具体内容和用途在README中并未明确描述。

The dataset includes a series of fields for representing the context of the conversation, the responses from users and the model, and some label information for training. It specifically includes conversation index, prompt information, whether it is the first round of the conversation, ground truth labels, reward signals, user solutions, flags for correct answers, the number of turns in the conversation, conversation content, and role information. The dataset is split into a training set, which contains 365599 examples. However, the specific content and purpose of the dataset are not explicitly described in the README.