← Benchmarks
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.
id ai2-reasoning-challenge-(arc) · max 1 · 1 models reported
| # | Model | Score |
|---|---|---|
| 1 | GPT-4 OpenAI | 0.96 |
