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Datasets:
uvci
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Koumankan_mt_dyu_fr

Tasks:
Translation
Languages: Bambara French
Size Categories: 10K<n<100K
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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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