Update README.md

README.md

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-# Koumankan4Dyula: Parallel Dyula - French Dataset for Machine Learning
+# Koumankan4Dyula: A Speech-To-Text Translation Corpus For Dyula Language
 
 ## 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.
+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 |
 |:-----:|:--------:|----------:|---------:|