Update README.md

README.md

@@ -5,7 +5,7 @@ task_categories:
 pretty_name: TunArTTS
 ---
 
-Dataset:
+# Dataset Description: 
 
 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.
@@ -22,4 +22,19 @@ Key characteristics of the corpus include:
  
 This corpus is well-suited for applications such as speech synthesis and automatic speech recognition.
 
+# Dataset Characteristics
+
+| **Characteristic**         | **Value**                |
+|-----------------------------|--------------------------------|
+| Total Segments             | 1493                           |
+| Total Words                | 20925                          |
+| Total Characters           | 113221                         |
+| Total Duration             | 3 hours and 32 seconds         |
+| Mean Clip Duration         | 7.24 seconds                   |
+| Min Clip Duration          | 3.11 seconds                   |
+| Max Clip Duration          | 16.3 seconds                   |
+| Mean Words per Clip        | 14.015                         |
+| Distinct Words             | 4491                           |
+
+
 A research paper based on this dataset has been published. You can find the paper here: [https://aclanthology.org/2024.lrec-main.1467.pdf](#).