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Dataset: commonsense_qa 🏷
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How to load this dataset directly with the πŸ€—/datasets library:

				
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from datasets import load_dataset dataset = load_dataset("commonsense_qa")

Description

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.

Citation

@InProceedings{commonsense_QA,
title={COMMONSENSEQA: A Question Answering Challenge Targeting Commonsense Knowledge},
author={Alon, Talmor and Jonathan, Herzig and Nicholas, Lourie and Jonathan ,Berant},
journal={arXiv preprint arXiv:1811.00937v2},
year={2019}

Models trained or fine-tuned on commonsense_qa

None yet. Start fine-tuning now =)