Update README.md

README.md

@@ -32,17 +32,17 @@ size_categories:
 multiliguality: monolingual
 ---
 
-# Dataset Card for Classical Arabic Text-to-Speech Corpus
+
+
+
+## Dataset Summary
+We present a speech corpus for Classical Arabic Text-to-Speech (ClArTTS) to support the development of end-to-end TTS systems for Arabic. The speech is extracted from a LibriVox audiobook, which is then processed, segmented, and manually transcribed and annotated. The final ClArTTS corpus contains about 12 hours of speech from a single male speaker sampled at 40100 kHz.
 
 ## Dataset Description
 - **Homepage:** [ClArTTS](http://www.clartts.com/)
 - **Paper:** [ClARTTS: An Open-Source Classical Arabic Text-to-Speech Corpus](https://www.isca-archive.org/interspeech_2023/kulkarni23_interspeech.pdf)
 
-### Dataset Summary
-We present a speech corpus for Classical Arabic Text-to-Speech (ClArTTS) to support the development of end-to-end TTS systems for Arabic. The speech is extracted from a LibriVox audiobook, which is then processed, segmented, and manually transcribed and annotated. The final ClArTTS corpus contains about 12 hours of speech from a single male speaker sampled at 40100 kHz.
-
 ## Dataset Structure
-### Data Instances
 
 A typical data point comprises the name of the audio file, called 'file', its transcription, called `text`, the audio as an array, called 'audio'. Some additional information; sampling rate and audio duration.
 
@@ -59,11 +59,6 @@ DatasetDict({
 })
 ```
 
-### Data Splits
-Data is divided into two sets;
-
-train: with 9500 audio samples.
-test: with 205 audio samples.
 
 
 ### Citation Information