Update README.md

README.md

@@ -48,4 +48,49 @@ configs:
     path: data/dev-*
   - split: test
     path: data/test-*
+task_categories:
+- automatic-speech-recognition
+- translation
+language:
+- bm
+size_categories:
+- 1K<n<10K
 ---
+
+# Koumankan4Dyula: Parallel Dyula - French Dataset for Machine Learning
+
+## Overview
+The Koumankan4Dyula corpus consists of approximately 15 hours i.e. 10,929 recordings of Dioula language audio along with the corresponding texts and their translations into French and English. Dioula is a low-resource language spoken by over 16.4 million people in several West African countries. This corpus is part of the Koumankan project, which offers a scalable and cost-effective method to expand the CommonVoice dataset to include the Dyula language and other African languages. It will serve as a benchmark for training models for automatic speech translation in Dioula as well as for automatic speech recognition or machine translation models from Dioula to French and English.
+## Data Splits
+| split |percentage|Nm. records| Num hour |
+|:-----:|:--------:|----------:|---------:|
+| Train |    73%   |    8065   |  8h 9m  |
+| Valid |    14%   |    1471   |  1h 36m |
+| Test  |    13%   |    1393   | 44m 36s |
+||
+
+### 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`