AfriSUD

AfriSUD is a collection of manually annotated treebanks for African languages following the Surface-Syntactic Universal Dependencies (SUD) framework. The dataset is intended to support research on dependency parsing, multilingual and cross-lingual NLP, and language technologies for low-resource African languages.

Loading the Dataset

Each language is available as a separate configuration.

For example, Hausa can be loaded with:

from datasets import load_dataset

dataset = load_dataset(
    "Lugha-Models/AfriSUD",
    "hau"
)

Languages

AfriSUD currently includes treebank data for eight African languages:

Code	Language
hau	Hausa
kin	Kinyarwanda
nyn	Runyankore
pcm	Nigerian Pidgin
swa	Kiswahili
wol	Wolof
xho	isiXhosa
yor	Yorùbá

Dataset Format

The canonical release is provided in CoNLL-U format, with Parquet versions included for convenient access through the Hugging Face Dataset Viewer.

Annotation Guidelines

The annotation guidelines used to create AfriSUD are available here:

📄 SUD Annotation Guidelines

Acknowledgments

This work was supported by Princeton Language and Intelligence (PLI).