Afroscope-Data

This is the corpus released as part of the AfroScope project for large-scale African language identification, supporting 713 languages. It provides sentence-level text with language labels and linguistic metadata and was used to train the open Afroscope-model.

The source project and additional resources are openly available here:

https://github.com/skwon01-UBC/AfroScope

Dataset Features

• sentence (string): The text sample.
• ISO-639-3 (string): The ISO 639-3 language code.
• script (string): The writing script (e.g., Latn, Arab).
• domain (string): Source/domain category of the sample.
• lang_family_1 ~ 5 (string): Language family hierarchy.
• label (string): The final label used for classification.

Loading the dataset

from datasets import load_dataset

ds = load_dataset(
    "UBC-NLP/afroscope-dataset",
    split="train"
)

print(ds[0])

Citation

@article{kwon2026afroscope,
  title={AfroScope: A Framework for Studying the Linguistic Landscape of Africa},
  author={Kwon, Sang Yun and Elmadany, AbdelRahim and Abdul-Mageed, Muhammad},
  journal={arXiv preprint arXiv:2601.13346},
  year={2026}
}