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ARC-Eval

AI2 Reasoning Challenge

ARC-Eval is a dataset of 7,787 multiple-choice science questions designed to evaluate reasoning capabilities in AI systems.

How to run

ltb · arc-eval
$ npm i -g lettokenburn-cli
$ ltb bench pull arc-eval --n 50
$ ltb bench run ./arc-eval -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

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

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About

The AI2 Reasoning Challenge consists of over 7,000 grade-school level scientific problems. It tests logical and common-sense reasoning rather than rote knowledge. Performance is measured using exact-match accuracy on the provided answer choices.