OpenBookQA
OpenBookQA is a question-answering dataset modeled after open book exams for assessing human understanding. It contains 5,957 multiple-choice elementary-level science questions that probe understanding of 1,326 core science facts and their application to novel situations, requiring combination of open book facts with broad common knowledge through multi-hop reasoning.
Phi-3.5-MoE-instruct from Microsoft currently leads the OpenBookQA leaderboard with a score of 0.896 across 5 evaluated AI models.
Phi-3.5-MoE-instruct leads with 89.6%, followed by Phi-3.5-mini-instruct at 79.2% and Phi 4 Mini at 79.2%.
Progress Over Time
Interactive timeline showing model performance evolution on OpenBookQA
OpenBookQA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Microsoft | 60B | — | — | ||
| 2 | Microsoft | 4B | — | — | ||
| 2 | Microsoft | 4B | — | — | ||
| 4 |  Mistral AI | 12B | — | — | ||
| 5 |  Nous Research | 70B | — | — |
FAQ
Common questions about OpenBookQA.
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