RAGEVALUATION-HJKMY/TSBC_cleaned_demo-Evaluated-2025-04-10-14-24-00-gpt-4o-mini-2024-07-18

该数据集包含了一系列的问题和对应的回答，同时还包含了判断回答正确性的多个评分标准，如事实准确性、连贯性、上下文利用率和参与度等。数据集中的每个示例还包括了原始文档、错误数量和分布、关键点信息等。数据集分为训练集，可用于训练机器学习模型以评估和改进回答的质量。

The dataset consists of a collection of questions and corresponding responses, along with multiple scoring criteria for evaluating the correctness of the responses, such as factual accuracy, coherence, context utilization, and engagement. Each example in the dataset also includes the original document, number and distribution of mistakes, key points, and more. The dataset is split into a training set, which can be used to train machine learning models to assess and improve the quality of responses.