Update README.md

README.md

@@ -23,20 +23,19 @@ language:
 | Size Category    | 1K < n < 10K                              |
 
 # 🎧 Arabic Speech Dataset
----
+
 ## 📘 Overview
+
 The **Arabic Speech Dataset** is a high-quality **speech audio dataset** built for developing, training, and evaluating advanced AI voice systems. It provides **76 hours of audio data** distributed across **558 files**, available in **MP3 and WAV formats**, with a total size of **189 MB**.  
-This carefully structured **audio dataset** delivers balanced and diverse **voice data**, including **52% female and 48% male speakers**, and a wide age range from **18 to 50+ years**. The **dataset language** is Arabic, covering speakers from **26 Arab countries**, which introduces strong dialectal diversity and improves real-world model generalization for **language speech dataset** applications.
 
---- 
+This carefully structured **audio dataset** delivers balanced and diverse **voice data**, including **52% female and 48% male speakers**, and a wide age range from **18 to 50+ years**. The **dataset language** is Arabic, covering speakers from **26 Arab countries**, which introduces strong dialectal diversity and improves real-world model generalization for **language speech dataset** applications.
+ 
 🔗 **Learn more:**  
 https://speech-data.ai/datasets/arabic/
----
 
 ## 🚀 Use Cases
 This **voice dataset** is designed for modern AI workflows, supporting **speech recognition**, voice assistant development, and natural language processing systems. The structured **speech data** enables efficient acoustic modeling, language modeling, and speaker identification tasks.  
 It is a strong foundation for building production-ready systems and is widely used as a **speech recognition dataset** in both research and industrial environments. It also supports multilingual and cross-domain adaptation tasks, comparable in scope to an **armenian speech dataset**, but specialized for Arabic speech variability.
----
 
 ## ⭐ Key Value
 The main strength of this **speech dataset** lies in its linguistic diversity, balanced speaker representation, and clean production-ready structure. It provides reliable and scalable **audio data** for building high-performance voice AI systems capable of handling real-world speech complexity.