chameleon-lizard/multilingual_refusals

该数据集旨在训练和评估生成响应中的拒绝检测任务模型。数据集包含来自lmsys/lmsys-chat-1m集合的输入提示，涵盖多种语言，包括英语、德语、法语、俄语和西班牙语。为了增加拒绝的多样性，响应和拒绝是使用Gemini Flash 1.5和LLaMA-3.3-70b两个模型生成的。数据集主要用于训练分类器，以区分有用的响应和拒绝，拒绝通常是模型拒绝回答或承认其提供响应能力的限制的陈述。这些拒绝是手动标记的，并与相应的输入提示配对。

This dataset is designed to train and evaluate models for the task of refusal detection in generated responses. The dataset consists of input prompts sourced from the lmsys/lmsys-chat-1m collection, encompassing a variety of languages including English, German, French, Russian, and Spanish. To increase refusal diversity, the responses and refusals were generated using two models, Gemini Flash 1.5 and LLaMA-3.3-70b. The dataset is primarily intended to train classifiers to distinguish between useful responses and refusals, which are typically statements where the model declines to answer or acknowledges its limitations in providing a response. These refusals were manually labeled and paired with their respective input prompts.