MEGA TyDi QA
TyDi QA as part of the MEGA benchmark suite. A question answering dataset covering 11 typologically diverse languages (Arabic, Bengali, English, Finnish, Indonesian, Japanese, Korean, Russian, Swahili, Telugu, and Thai) with 204K question-answer pairs. Features realistic information-seeking questions written by people who want to know the answer but don't know it yet.
Phi-3.5-MoE-instruct from Microsoft currently leads the MEGA TyDi QA leaderboard with a score of 0.671 across 2 evaluated AI models.
Phi-3.5-MoE-instruct leads with 67.1%, followed by Phi-3.5-mini-instruct at 62.2%.
Progress Over Time
Interactive timeline showing model performance evolution on MEGA TyDi QA
MEGA TyDi QA Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Microsoft | 60B | — | — | ||
| 2 | Microsoft | 4B | 128K | $0.10 / $0.10 |
FAQ
Common questions about MEGA TyDi QA.
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