Eyaa-Tom Dataset

Overview

Eyaa-Tom is a dataset designed to support Natural Language Processing (NLP) research for Togolese languages. It originates from the Eyaa-Tom dataset, meaning "People's Words" in Kabyè, which was collected through fieldwork by the Umbaji community of linguists, researchers, and annotators. The dataset focuses on speech and text data for various applications, including name identification and service queries in healthcare and finance, among other domains.

Dataset Details

• Total Languages Covered: 11 local languages + French with Togolese accent
• Included Data:
  • 50 samples from Umbaji datasets for speech recognition in local languages (Moba, Nawdem, Ewe, etc.).
  • 50+ recordings per language featuring names in Togolese languages.

License & Access This dataset is owned by the Umbaji community. For full access, please contact:

📧 [email protected]

📧 [email protected]

Acknowledgments This dataset is the result of extensive field data collection efforts by the Umbaji community. We acknowledge the contributions of linguists, researchers, and annotators who made this resource possible.

Citation

If you use this dataset, please cite the following paper:

@inproceedings{
  justin2025yodiv,
  title={YodiV3: {NLP} for Togolese Languages with Eyaa-Tom Dataset and the Lom Metric},
  author={BAKOUBOLO ESSOWE JUSTIN and Kodjo Fran{\c{c}}ois Xegbe and Catherine Nana Nyaah Essuman and AFOLA Kossi Mawou{\'e}na Samuel},
  booktitle={6th Workshop on African Natural Language Processing},
  year={2025},
  url={https://openreview.net/forum?id=4JCYv5ETfE}
}