ModelRefs / FLORES-200 Methodology and Evidence
FLORES-200 Methodology and Evidence
Machine translation eval across 200 languages. Methodology, dataset provenance, and citation sources for FLORES-200.
Overview
Machine translation eval across 200 languages.
How it is measured: spBLEU mean across all language pairs.
How this benchmark is scored
| Category | reasoning |
|---|---|
| Maximum score | 100 spBLEU |
| Direction | Higher is better |
Primary source: https://github.com/facebookresearch/flores
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Frequently asked questions
What does the FLORES-200 benchmark measure?
Machine translation eval across 200 languages.
What is the methodology?
spBLEU mean across all language pairs.