ARC-E
ARC-E (AI2 Reasoning Challenge - Easy Set) is a subset of grade-school level, multiple-choice science questions that requires knowledge and reasoning capabilities. Part of the AI2 Reasoning Challenge dataset containing 5,197 questions that test scientific reasoning and factual knowledge. The Easy Set contains questions that are answerable by retrieval-based and word co-occurrence algorithms, making them more accessible than the Challenge Set.
Gemma 2 27B from Google currently leads the ARC-E leaderboard with a score of 0.886 across 8 evaluated AI models.
Gemma 2 27B leads with 88.6%, followed by Gemma 2 9B at 88.0% and 
Hermes 3 70B at 83.0%.
Progress Over Time
Interactive timeline showing model performance evolution on ARC-E
ARC-E Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Google | 27B | — | — | ||
| 2 | Google | 9B | — | — | ||
| 3 | Nous Research | 70B | — | — | ||
| 4 | Google | 8B | — | — | ||
| 4 | 2B | — | — | |||
| 6 | 2B | — | — | |||
| 6 | Google | 8B | — | — | ||
| 8 |  Baidu | 21B | 128K | $0.40 / $4.00 |
FAQ
Common questions about ARC-E.
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