masakhane/AfriDocMT

data
├── document
│   ├── Health
│   │   ├── dev.csv
│   │   ├── test.csv
│   │   └── train.csv
│   └── Tech
│       ├── dev.csv
│       ├── test.csv
│       └── train.csv
└── sentence
    ├── Health
    │   ├── dev.csv
    │   ├── test.csv
    │   └── train.csv
    └── Tech
        ├── dev.csv
        ├── test.csv
        └── train.csv

AFRIDOC-MT is a document-level multi-parallel translation dataset covering English and five African languages: Amharic, Hausa, Swahili, Yorùbá, and Zulu. The dataset comprises 334 health and 271 information technology news documents, all human-translated from English to these languages.

The project was generously funded by Lacuna Fund.

License: CC BY-NC-SA 3.0 for Health, and CC BY-NC 4.0 for Tech

@misc{alabi2025afridocmtdocumentlevelmtcorpus,
      title={AFRIDOC-MT: Document-level MT Corpus for African Languages}, 
      author={Jesujoba O. Alabi and Israel Abebe Azime and Miaoran Zhang and Cristina España-Bonet and Rachel Bawden and Dawei Zhu and David Ifeoluwa Adelani and Clement Oyeleke Odoje and Idris Akinade and Iffat Maab and Davis David and Shamsuddeen Hassan Muhammad and Neo Putini and David O. Ademuyiwa and Andrew Caines and Dietrich Klakow},
      year={2025},
      eprint={2501.06374},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2501.06374}, 
}