AI2 Reasoning Challenge (ARC)

A dataset of 7,787 genuine grade-school level, multiple-choice science questions assembled to encourage research in advanced question-answering. The dataset is partitioned into a Challenge Set and Easy Set, where the Challenge Set contains only questions answered incorrectly by both retrieval-based and word co-occurrence algorithms. Covers multiple scientific domains including biology, physics, earth science, and chemistry, requiring scientific reasoning, causal understanding, and conceptual knowledge beyond simple fact retrieval. Includes a supporting corpus of over 14 million science sentences.

GPT-4 from OpenAI currently leads the AI2 Reasoning Challenge (ARC) leaderboard with a score of 0.963 across 1 evaluated AI models.

PaperImplementation

OpenAIGPT-4 leads with 96.3%.

Progress Over Time

Interactive timeline showing model performance evolution on AI2 Reasoning Challenge (ARC)

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AI2 Reasoning Challenge (ARC) Leaderboard

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FAQ

Common questions about AI2 Reasoning Challenge (ARC).

What is the AI2 Reasoning Challenge (ARC) benchmark?

A dataset of 7,787 genuine grade-school level, multiple-choice science questions assembled to encourage research in advanced question-answering. The dataset is partitioned into a Challenge Set and Easy Set, where the Challenge Set contains only questions answered incorrectly by both retrieval-based and word co-occurrence algorithms. Covers multiple scientific domains including biology, physics, earth science, and chemistry, requiring scientific reasoning, causal understanding, and conceptual knowledge beyond simple fact retrieval. Includes a supporting corpus of over 14 million science sentences.

What is the AI2 Reasoning Challenge (ARC) leaderboard?

The AI2 Reasoning Challenge (ARC) leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, GPT-4 by OpenAI leads with a score of 0.963. The average score across all models is 0.963.

What is the highest AI2 Reasoning Challenge (ARC) score?

The highest AI2 Reasoning Challenge (ARC) score is 0.963, achieved by GPT-4 from OpenAI.

How many models are evaluated on AI2 Reasoning Challenge (ARC)?

1 models have been evaluated on the AI2 Reasoning Challenge (ARC) benchmark, with 0 verified results and 1 self-reported results.

Where can I find the AI2 Reasoning Challenge (ARC) paper?

The AI2 Reasoning Challenge (ARC) paper is available at https://arxiv.org/abs/1803.05457. The paper details the methodology, dataset construction, and evaluation criteria.

Where can I find the AI2 Reasoning Challenge (ARC) dataset?

The AI2 Reasoning Challenge (ARC) dataset is available at https://github.com/allenai/ARC-Solvers.

What categories does AI2 Reasoning Challenge (ARC) cover?

AI2 Reasoning Challenge (ARC) is categorized under general and reasoning. The benchmark evaluates text models.

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