These sentence pairs will serve as a means to evaluate machines' commonsense reasoning abilities under different extra-linguistic contexts.

Recently, commonsense reasoning in text generation has attracted much attention. Generative commonsense reasoning is the task that requires machines, given a group of keywords, to compose a single coherent sentence with commonsense plausibility. While existing datasets targeting generative commonsense reasoning focus on everyday scenarios, it is unclear how well machines reason under specific geographical and temporal contexts.

Graph), a comprehensive benchmark of graph-based problem solving designed in natural language.

W evaluated prior thesingle released.

Between 2018 and 2020, the field witnessed asurgein the development of these models (Devlin etal.,2019;Liu