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commonsense_qa

A Question Answering Challenge Targeting Commonsense Knowledge

CommonsenseQA is a multiple-choice question answering dataset that requires different types of commonsense knowledge to predict the correct answers.

How to run

ltb · commonsense-qa
$ npm i -g lettokenburn-cli
$ ltb bench pull commonsense-qa --n 50
$ ltb bench run ./commonsense-qa -a claude-code -m anthropic/claude-opus-4-8
$ ltb bench push

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

5 sourced entries
HarnessSourceConfidenceLink
OPT 66B66.4N/AIndependentmediumMar 30, 2023arxiv.org
BLOOM 176B64.2N/AIndependentmediumMar 30, 2023arxiv.org
GPT-NeoX 20B60.4N/AIndependentmediumMar 30, 2023arxiv.org
UL2 20B51.4N/AIndependentmediumMay 10, 2022arxiv.org
UL2 20B34.2N/AIndependentmediumMay 10, 2022arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

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About

CommonsenseQA is a 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.

Available in EleutherAI lm-evaluation-harness as task family commonsense_qa (1 tasks).