The AMAMMERε Dataset delves into the subtle cultural biases present in common sense reasoning datasets, highlighting predominantly Western or U.S.-centric perspectives. By comparing cultural commonsense reasoning between Ghana (representing a low-resource language group) and the USA, this dataset shows the differences in daily activities such as shopping, meal planning, and transportation across these distinct cultural contexts.
Highlights: