selfcorrexp2/llama31_14w_wrong_10w_corr_20k_test

该数据集是一个包含对话和问题解答的集合，它具有多个字段，包括对话的索引、是否为对话的第一轮、问题的真实答案、解答的奖励信号、用户的解答、是否为正确答案的标记、对话轮数、对话内容、问题文本、期望的输出、问题难度等级、问题类型、提供的解决方案、模型的预测输出以及相关的代码片段。训练集包含20000个示例，数据集大小约为108MB。

The dataset is a collection of dialogues and question answering instances, featuring multiple fields including dialogue index, whether its the first round of the dialogue, the ground truth answer to the question, reward signals for the answers, users solutions, a flag indicating correct answers, the turn number of the dialogue, the content of the conversation, the question text, expected output, the difficulty level of the question, the type of the question, provided solutions, the models predicted outputs, and related code snippets. The training set contains 20,000 examples, and the dataset size is approximately 108MB.