ToolSpectrum

该数据集旨在评估大型语言模型在个性化工具使用方面的能力，重点关注用户个人资料和环境因素。它允许根据用户的个人资料和环境因素来评估大型语言模型的性能，突显个性化工具选择中的复杂性。该数据集的任务是评估大型语言模型在个性化工具利用方面的表现。

This dataset is designed to evaluate the capabilities of large language models (LLMs) in personalized tool utilization, with a focus on user profiles and environmental factors. It enables performance assessment of LLMs based on such user profiles and contextual elements, while highlighting the inherent complexities in personalized tool selection. The core task of this dataset is to measure the performance of large language models in leveraging personalized tools.