tarryzhang/qwen2.5-7b-lima-pairrm-preferences

该数据集包含50个训练示例，每个示例由三个字符串特征组成：prompt（提示）、chosen（被选响应）和rejected（被拒响应）。数据集可能设计用于比较或评估人工智能模型在生成响应时的表现，例如在对话系统或任务完成场景中，通过对比被选和被拒的响应来优化模型行为。数据以训练集形式提供，总大小约为198.6KB，下载大小约为142.7KB。

This dataset contains 50 training examples, each composed of three string features: prompt, chosen, and rejected. The dataset is designed to compare or evaluate the performance of artificial intelligence models in response generation scenarios such as dialogue systems and task completion tasks, by contrasting the chosen and rejected responses to optimize model behavior. It is provided as a training set, with a total size of approximately 198.6 KB and a download size of around 142.7 KB.