AIW Problem Variations

该数据集包含了一系列针对常见推理问题的变体，旨在评估大型语言模型在推理能力方面的表现。这些问题以易于人类解决的方式构建，从而能够评估最先进的语言模型在处理基础常识推理任务上的性能。具体来说，该数据集包含了四种不同版本的“人工智能与威廉”问题，以此来检验模型在基本常识推理方面的能力。

This dataset comprises a series of variants of common reasoning problems, designed to evaluate the reasoning performance of large language models. These problems are constructed in a manner easily solvable by humans, enabling the assessment of state-of-the-art language models' performance on basic commonsense reasoning tasks. Specifically, this dataset includes four distinct versions of the "AI and William" problem, which is used to test the models' capabilities in basic commonsense reasoning.