NLLB Training Data
by Meta AI · open-source · Last verified 2026-03-17
The No Language Left Behind (NLLB) training corpus released by Meta AI contains high-quality parallel data across 200+ language pairs, including newly mined bitext for dozens of low-resource languages. It was used to train the NLLB-200 model achieving state-of-the-art translation on low-resource language pairs.
https://huggingface.co/datasets/allenai/nllb ↗B
B—Above Average
Adoption: B+Quality: AFreshness: B+Citations: AEngagement: F
Specifications
- License
- CC-BY-NC-4.0
- Pricing
- open-source
- Capabilities
- machine-translation, parallel-corpus, low-resource-translation
- Integrations
- huggingface-datasets
- Use Cases
- machine-translation, low-resource-nlp, translation-model-training
- API Available
- No
- Tags
- machine-translation, 200-languages, parallel-corpus, meta, low-resource
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
68.5Adoption
74
Quality
88
Freshness
73
Citations
85
Engagement
0
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