Datasets:
license: other
license_name: youversion-tos-derived
license_link: https://www.bible.com/terms
language:
- sus
- fr
- en
task_categories:
- translation
tags:
- susu
- soussou
- low-resource
- african-languages
- machine-translation
pretty_name: Susu (Soussou) Parallel and Monolingual Corpus
size_categories:
- 100K<n<1M
configs:
- config_name: sus-fr
data_files:
- split: train
path: sus_fr_train.csv
- split: validation
path: sus_fr_dev.csv
- split: test
path: sus_fr_test.csv
- config_name: sus-en
data_files:
- split: train
path: sus_en_train.csv
- split: validation
path: sus_en_dev.csv
- split: test
path: sus_en_test.csv
- config_name: monolingual
data_files:
- split: train
path: sus_monolingual.csv
- config_name: lexicon
data_files:
- split: train
path: lexicon.csv
Susu (Soussou) Parallel and Monolingual Corpus
A multi-source corpus for Susu (Soussou; ISO 639-3 sus), a Mande language of
Guinea that is absent from NLLB-200 and from commercial MT systems. Built to train
2ADT-Consulting/nllb-susu-v2,
one of the first open neural MT systems for Susu.
Configurations
| Config | Split | #rows | Columns |
|---|---|---|---|
sus-fr |
train / validation / test | 114,503 / 1,000 / 1,000 | sus, fr |
sus-en |
train / validation / test | 111,013 / 991 / 992 | sus, en |
monolingual |
train | 28,724 | sus |
lexicon |
train | ~7,000 | sus_officiel, sus_ortho_fr, fr, ... |
from datasets import load_dataset
ds = load_dataset("2ADT-Consulting/susu-parallel", "sus-fr")
print(ds["test"][0]) # {'sus': '...', 'fr': '...'}
Sources and construction
- Bible translations (Susu ↔ fr/en) aligned at verse level via verse keys, retrieved using the Africa Corpus Builder tool (AfriSpeech), which sources public Bible translations from YouVersion. This is the backbone of the parallel data.
- Bilingual dictionary (~7,000 Susu–French entries), including both the
official orthography and a French-style spelling (
sus_ortho_fr). - Everyday dialogues extracted from a Peace-Corps Susu language-course manual, plus additional Christian-education booklets.
- Orthography-aware augmentation: informal "French-style" (SMS) variants of
Susu sentences generated with deterministic rules
(
x→kh,u→ou,ɛ→è,ɔ→o,ɲ→gn, ...), so models learn to read informal input while producing the official orthography.
Pairs with an out-of-range source/target length ratio are filtered (211 removed for sus–fr, 522 for sus–en). Vocabulary: 8,690 unique word types, 757,387 tokens.
Intended use and limitations
- Intended for machine translation and low-resource NLP research on Susu.
- Register bias: the parallel data is dominated by biblical text; models and automatic metrics computed against these references over-reward the religious register. The everyday/dictionary/dialogue data partially mitigates this.
- No native-speaker validation yet. Automatic references may contain errors.
License and citation
This dataset's text is not covered by NLLB-200's CC-BY-NC-4.0 license — that
license applies to the model weights we separately publish
(nllb-susu-v2), not to
this text. The Bible-derived portion originates from YouVersion and remains
subject to YouVersion's terms of service,
independently of any model license; we retrieved it via the Africa Corpus
Builder tool and did not access YouVersion directly. The dictionary and
course-manual portions carry their own source terms. Review all applicable
terms before redistributing derived data.
If you use the Bible-derived portion, please also credit the tool used to retrieve it:
@misc{africacorpusbuilder,
title = {{Africa Corpus Builder}: verse-aligned text for 693 African languages},
author = {{AfriSpeech}},
note = {\url{https://github.com/AfriSpeech/africa-corpus-builder}},
year = {2026}
}
To cite this corpus itself:
@misc{susu-corpus,
title = {Susu (Soussou) Parallel and Monolingual Corpus},
author = {TODO},
year = {2026},
note = {\url{https://huggingface.co/datasets/2ADT-Consulting/susu-parallel}}
}