MMLU-redux-2.0
A curated version of the MMLU benchmark featuring manually re-annotated 5,700 questions across 57 subjects to identify and correct errors in the original dataset. Addresses the 6.49% error rate found in MMLU and provides more reliable evaluation metrics for language models.
Kimi K2 Base from Moonshot AI currently leads the MMLU-redux-2.0 leaderboard with a score of 0.902 across 1 evaluated AI models.
Kimi K2 Base leads with 90.2%.
Progress Over Time
Interactive timeline showing model performance evolution on MMLU-redux-2.0
MMLU-redux-2.0 Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | 1.0T | — | — |
FAQ
Common questions about MMLU-redux-2.0.
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