selfcorrexp2/w2r100k_r2r40k_r182k

该数据集包含了一个或多个对话场景，每个场景可能包含多轮对话。每一轮对话包括对话内容以及对话角色（例如，问题提出者和回答者）。此外，数据集还包含了提示信息、是否为第一轮对话的标志、真实标签、奖励信息、预测结果、个人解决方案等信息。数据集被划分为训练集，可用于训练相关模型。但是，具体的应用场景和详细描述在README文件中并未给出。

The dataset consists of one or more conversation scenarios, each of which may contain multiple rounds of dialogue. Each round of dialogue includes the dialogue content and the role of the dialogue (for example, the questioner and the respondent). In addition, the dataset also includes prompt information, a flag indicating whether it is the first round of dialogue, ground truth labels, reward information, prediction results, personal solutions, and so on. The dataset is split into a training set, which can be used to train related models. However, the specific application scenario and detailed description are not provided in the README file.