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
MEGA UDPOS Ranking
Higher score ranks better on this benchmark.
| 1 | MI | 60.4% | 100.0% | 2 | C | |
| 2 | MI | 46.5% | 0.0% | 2 | C |
MEGA UDPOS Score Distribution
A closer view of the leading scores on this benchmark.
MEGA UDPOS Highlights
The leading models and scores on this benchmark.
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.