Datasets:
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dataset_info:
features:
- name: source
dtype: string
- name: target
dtype: string
- name: src_lang
dtype: string
- name: tgt_lang
dtype: string
splits:
- name: train
num_bytes: 1195761745
num_examples: 3218822
download_size: 733073516
dataset_size: 1195761745
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- ar
- am
- af
- arz
- es
- en
- fr
- ha
- ln
- pt
- so
- sw
- wo
- yo
- zu
license: cc-by-nc-4.0
task_categories:
- translation
size_categories:
- 1M<n<10M
---
# AfriNLLB Dataset
AfriNLLB is a series of efficient multilingual open-source models for African languages.
`AfriNLP/AfriNLLB-train` is one of two datasets we curated and used for training [AfriNLLB models](https://huggingface.co/collections/AfriNLP/afrinllb).
It comprises datasets from OPUS and Hugging Face, with additional data from GitHub and other publicly available online sources.
Moreover, `AfriNLP/AfriNLLB-train` is the authentic dataset used to create the knowledge distillation dataset [AfriNLLB-train-distilled](https://huggingface.co/datasets/AfriNLP/AfriNLLB-train-distilled)
More details about data sources and processing can be found in the [paper](https://arxiv.org/abs/2602.09373).
## Supported Languages
AfriNLLB supports 15 language pairs (30 translation directions), including Swahili, Hausa, Yoruba, Amharic, Somali, Zulu, Lingala, Afrikaans, Wolof, and Egyptian Arabic,
as well as other African Union official languages such as Arabic (MSA), French, Portuguese, and Spanish.
Our training data covers bidirectional translation between English and 13 languages, and between French and two languages (Lingala and Wolof).
## Citation
If you use any of AfriNLLB models, datasets, or approaches, please cite the following [paper](https://arxiv.org/abs/2602.09373):
```bibtex
@inproceedings{moslem-etal-2026-afrinllb,
title = "{A}fri{NLLB}: Efficient Translation Models for African Languages",
author = "Moslem, Yasmin and
Wassie, Aman Kassahun and
Gizachew, Amanuel",
booktitle = "Proceedings of the Seventh Workshop on African Natural Language Processing (AfricaNLP)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://openreview.net/forum?id=hVJZNUZBur"
}
``` |