FLORES-200
by NLLB Team / Meta AI · open-source · Last verified 2026-03-17
FLORES-200 is a many-to-many multilingual translation benchmark covering 200 languages, including many low-resource ones. It evaluates machine translation systems across 40,000 language direction pairs, making it the most comprehensive translation benchmark for assessing cross-lingual generalization.
https://github.com/facebookresearch/flores ↗B+
B+—Good
Adoption: AQuality: A+Freshness: B+Citations: AEngagement: F
Specifications
- License
- CC BY-SA 4.0
- Pricing
- open-source
- Capabilities
- evaluation, machine-translation, multilingual-evaluation
- Integrations
- Use Cases
- model-evaluation, translation-ai, multilingual-nlp
- API Available
- No
- Evaluated Models
- nllb-200-3.3b, m2m-100, seamless-m4t, gpt-4o
- Metrics
- spbleu, chrf
- Methodology
- 1,012 sentences drawn from Wikipedia, Wikinews, and Wikijourneys in a domain-balanced split. Translated by professional translators across 200 languages. spBLEU and chrF++ are the primary automatic metrics; averaged over all language directions.
- Last Run
- 2026-01-22
- Tags
- translation, multilingual, low-resource, flores, spbleu
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
72.2Adoption
82
Quality
91
Freshness
78
Citations
85
Engagement
0