Update README.md

README.md

@@ -1,3 +1,22 @@
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-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+task_categories:
+- text-to-speech
+pretty_name: TunArTTS
+---
+
+Dataset:
+This speech corpus is extracted from an online English-Tunisian Arabic dictionary Derja Ninja, providing a valuable resource for linguistic and speech-related research. 
+The dataset contains over 3 hours of mono-speaker audio recordings from a male speaker, sampled at 44.1 kHz.
+
+Key characteristics of the corpus include:
+
+- **Language**: Tunisian Arabic.
+   
+- **Speaker**: Single male speaker.
+   
+- **Sampling Rate**: High-quality recordings at 44.1 kHz.
+   
+- **Manual Diacritization**: All text has been processed and manually diacritized, ensuring phonetic accuracy for Tunisian Arabic.
+ 
+This corpus is well-suited for applications such as speech synthesis and automatic speech recognition.