Chatbot Arena Conversations

该数据集是一个用于评估语言模型在重构特定输入-输出对方面表现的部分对话集合。根据特定标准，该数据集被筛选以包含30个输入-输出对，并在移除毒性过滤并增加输入长度后，额外增加了一组50个对。这是原始数据集的一个子集，经过筛选以包含特定的特性。其任务是评估语言模型在对抗性攻击及反转准确性方面的表现。

This dataset is a partial dialogue corpus designed to evaluate the performance of language models in reconstructing specific input-output pairs. According to predefined criteria, it was initially filtered to include 30 input-output pairs. Subsequently, after removing toxicity filtering and expanding input lengths, an additional set of 50 input-output pairs was added. This is a subset of the original dataset, screened to retain specific targeted characteristics. Its core task is to evaluate the performance of language models in terms of adversarial attacks and inversion accuracy.