fxmeng/commonsense_filtered
Dataset Summary 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)… See the full description on the dataset page: https://huggingface.co/datasets/fxmeng/commonsense_filtered.
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