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Datasets:
Koumankan4Dyula: Parallel Dyula - French Dataset for Machine Learning
Overview
The Koumankan4Dyula corpus consists of 10929 pairs of Dioula-French sentences. This corpus is part of the Koumankan project, which proposes a scalable and cost-effective method for extending the CommonVoice dataset to the Dyula language and other African languages.
Data Splits
Train | 73% | 8065 |
Valid | 14% | 1471 |
Test | 13% | 1393 |
Maintenance
- This dataset is supposed to be actively maintained.
Benchmarks:
Coming soon
License
CC-BY-SA-4.0
Version
1.0.0
Acknowledgements
This dataset collection efforts have been supported by International Development Research Centre (IDRC) and Swedish International Development Cooperation Agency (SIDA), managed by African Center for Technology Studies (ACTS) in collaboration with the Université Virtuelle de Côte d'Ivoire (UVCI) through the programme Artificial Intelligence for Development (AI4D) Africa.
Contacts
ismael21.kone@uvci.edu.ci
info@data354.com
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