Election2016

该数据集包含了与2016年选举相关的陈述，旨在评估大型语言模型对政治人物的态度。为了更准确地反映语境，针对该数据集定制了特殊提示，将“实体”一词改为“政治家”。该任务的目标是进行立场分类。

This dataset comprises statements related to the 2016 election, and is designed to evaluate the attitudes of large language models (LLMs) toward political figures. To more accurately reflect the contextual setting, custom-tailored prompts were developed for this dataset, in which the term "entity" was replaced with "politician". The goal of this task is stance classification.