TydiQA
Llama 4 Maverick 31.7% Models answer information-seeking questions from Wikipedia articles in 11 typologically diverse languages, across 204K question-answer pairs. Scored by F1.
Model cards usually report the gold passage (GoldP) task.
- Made by
- Google Research
- Released
- March 2020
- Kind
- Reading in many languages
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- Public, plus a private test set
- Strongest model tested
- Llama 4 Maverick #153 on the capability index
- Last in a launch post
- April 2025, dropped before it saturated
- Last model added
- April 2025
In the authors’ words
Confidently making progress on multilingual modeling requires challenging, trustworthy evaluations. We present TyDi QA—a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. The languages of TyDi QA are diverse with regard to their typology—the set of linguistic features each language expresses—such that we expect models performing well on this set to generalize across a large number of the world's languages. We present a quantitative analysis of the data quality and example-level qualitative linguistic analyses of observed language phenomena that would not be found in English-only corpora. To provide a realistic information-seeking task and avoid priming effects, questions are written by people who want to know the answer, but don't know the answer yet, and the data is collected directly in each language without the use of translation.
Llama 4 Maverick leads with 31.7%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 Llama 4 Maverick 31.7%
- 2 Llama 4 Scout 31.5%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Llama 4 Maverick | 31.7% | Apr 2025 | Lab model card | |
| 2 | Llama 4 Scout | 31.5% | Apr 2025 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
No launch post has listed it since April 2025
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Apr 5, 2025 | Llama 4 Scout | 31.5 | TydiQA (1-shot, average/f1) [pretrained] |
| Apr 5, 2025 | Llama 4 Maverick | 31.7 | TydiQA (1-shot, average/f1) [pretrained] |
2 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Apr 5, 2025 | Llama 4 Scout model card | 31.5 | TydiQA, 1-shot, average/f1, pretrained (Pre-trained models table) | Capabilities |
| Apr 5, 2025 | Llama 4 Maverick model card | 31.7 | TydiQA, 1-shot, average/f1, pretrained (Pre-trained models table) | Capabilities |
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