fxmeng/

commonsense_filtered

The commonsense reasoning tasks consist of 8 subtasks, each with predefined training and testing sets, as described by LLM-Adapters (Hu et al., 2023). The following table lists the details of each sub-dataset.

Train Test Information

BoolQ (Clark et al., 2019) 9427 3270 Question-answering dataset for yes/no questions

PIQA (Bisk et al., 2020) 16113 1838 Questions with two solutions requiring physical commonsense to answer

SIQA (Sap et al., 2019) 33410… See the full description on the dataset page: https://huggingface.co/datasets/fxmeng/commonsense_filtered.