ReClor

该数据集是从GMAT和LSAT考试中提取的逻辑推理阅读理解数据集，被认为是测试语言模型逻辑推理能力最具挑战性的数据集之一。具体而言，ReClor是针对语言模型进行逻辑推理阅读理解能力测试的一项重要任务。

This dataset, ReClor, is a logical reasoning reading comprehension dataset extracted from the GMAT and LSAT exams, and is regarded as one of the most challenging datasets for evaluating the logical reasoning capabilities of language models. Specifically, ReClor serves as an important benchmark task for assessing the logical reasoning and reading comprehension abilities of language models.