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language benchmark

MEGA UDPOS

Universal Dependencies POS tagging as part of the MEGA benchmark suite. A multilingual part-of-speech tagging dataset based on Universal Dependencies treebanks, utilizing the universal POS tag set of 17 tags across 38 diverse languages from different language families. Used for evaluating multilingual POS tagging systems.

Updated Aug 11, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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MEGA UDPOS Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

Show columns

01MIPhi-3.5-MoE-instructMicrosoft60.4%100.0%2CAug 11, 2026
02MIPhi-3.5-mini-instructMicrosoft46.5%0.0%2CAug 11, 2026

MEGA UDPOS Score Distribution

A closer view of the leading scores on this benchmark.

MEGA UDPOS

MEGA UDPOS Highlights

The leading models and scores on this benchmark.

Rank #1Phi-3.5-MoE-instruct60.4%Rank #2Phi-3.5-mini-instruct46.5%

What is MEGA UDPOS?

What MEGA UDPOS measures and how its scores work.

Universal Dependencies POS tagging as part of the MEGA benchmark suite. A multilingual part-of-speech tagging dataset based on Universal Dependencies treebanks, utilizing the universal POS tag set of 17 tags across 38 diverse languages from different language families. Used for evaluating multilingual POS tagging systems.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
MEGA UDPOS
Modality
text
Primary category
language
Score direction
higher
LLMBoard eligible
No
Evaluation key
mega-udpos|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about MEGA UDPOS.

Which model scores highest on MEGA UDPOS?

Phi-3.5-MoE-instruct is currently ranked first with 60.4%.

What does MEGA UDPOS measure?

Universal Dependencies POS tagging as part of the MEGA benchmark suite. A multilingual part-of-speech tagging dataset based on Universal Dependencies treebanks, utilizing the universal POS tag set of 17 tags across 38 diverse languages from different language families. Used for evaluating multilingual POS tagging systems.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.