ThoughtTokens/MuSR_thoughts_with_objective_insights

该数据集包含了问题、答案、上下文文本以及相关的预测和评估信息。具体字段包括问题文本、答案文本、上下文文本、预测答案文本、思考过程描述、评估结果、词汇数量、对预测答案的洞见、洞见之后的思考过程描述以及从数据中提取的洞见。数据集被划分为训练集，可用于机器学习模型的训练。数据集的配置信息指明了训练集数据的存储路径。

The dataset includes question, answer, context text, and related prediction and evaluation information. The specific fields include question text, answer text, context text, predicted answer text, thought process description, evaluation result, number of tokens, insights into the predicted answer, thought process description after insight, and insights extracted from the data. The dataset is split into a training set, which can be used for training machine learning models. The configuration information of the dataset indicates the storage path of the training set data.