CommonSenseQA
CommonSenseQA is a multiple-choice question answering dataset that requires different types of commonsense knowledge to predict correct answers. It contains 12,102 questions with one correct answer and four distractors, designed to test semantic reasoning and conceptual relationships. Questions are created based on ConceptNet concepts and require prior world knowledge for accurate reasoning.
Mistral NeMo Instruct from Mistral AI currently leads the CommonSenseQA leaderboard with a score of 0.704 across 1 evaluated AI models.
Mistral NeMo Instruct leads with 70.4%.
Progress Over Time
Interactive timeline showing model performance evolution on CommonSenseQA
CommonSenseQA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Mistral AI | 12B | — | — |
FAQ
Common questions about CommonSenseQA.
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