CommonsenseQA

Dataset Card for “commonsense qa” Dataset Summary CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge to predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers. The dataset is provided in two major training/validation/testing set splits: “Random split” which is the main evaluation split, and “Question token split”, see paper for details.… See the full description on the dataset page: qa.

Source: Hugging Face Hub (tau/commonsense_qa). Metadata imported from the dataset’s Hub tags.