The AI2 Reasoning Challenge (ARC) is a benchmark of 7,787 natural, grade-school-level multiple-choice science questions (authored for human tests) designed to encourage research in advanced question answering and reasoning. The question set is partitioned into two subsets: ARC-Challenge (questions that simple retrieval and word co-occurrence algorithms get wrong; ~2.59k questions) and ARC-Easy (~5.2k questions). The release also includes the ARC Corpus, a large corpus of science-relevant sentences (~14 million sentences) intended to support retrieval/knowledge components. ARC focuses on questions requiring deeper knowledge and reasoning than many earlier QA datasets and provides baseline implementations; it is widely used for multiple-choice and open-domain QA evaluation. License: CC BY-SA 4.0. Language: English.
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