TydiQA

A multilingual question answering benchmark covering 11 typologically diverse languages with 204K question-answer pairs. Questions are written by people seeking genuine information and data is collected directly in each language without translation to test model generalization across diverse linguistic structures.

Llama 4 Maverick from Meta currently leads the TydiQA leaderboard with a score of 0.317 across 2 evaluated AI models.

Paper

MetaLlama 4 Maverick leads with 31.7%, followed by MetaLlama 4 Scout at 31.5%.

Progress Over Time

Interactive timeline showing model performance evolution on TydiQA

State-of-the-art frontier
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TydiQA Leaderboard

2 models
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2109B
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FAQ

Common questions about TydiQA.

What is the TydiQA benchmark?

A multilingual question answering benchmark covering 11 typologically diverse languages with 204K question-answer pairs. Questions are written by people seeking genuine information and data is collected directly in each language without translation to test model generalization across diverse linguistic structures.

What is the TydiQA leaderboard?

The TydiQA leaderboard ranks 2 AI models based on their performance on this benchmark. Currently, Llama 4 Maverick by Meta leads with a score of 0.317. The average score across all models is 0.316.

What is the highest TydiQA score?

The highest TydiQA score is 0.317, achieved by Llama 4 Maverick from Meta.

How many models are evaluated on TydiQA?

2 models have been evaluated on the TydiQA benchmark, with 0 verified results and 2 self-reported results.

Where can I find the TydiQA paper?

The TydiQA paper is available at https://arxiv.org/abs/2003.05002. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does TydiQA cover?

TydiQA is categorized under language and reasoning. The benchmark evaluates text models with multilingual support.

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