Update README.md

README.md

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 ## Dataset Description
 
-This dataset is designed for Automatic Speech Recognition (ASR), focusing on Arabic speech with precise transcriptions including tashkeel (diacritics). It contains 33,607 audio samples from multiple sources: Microsoft Edge TTS API, Common Voice (validated Arabic subset), individual contributions, and manually transcribed YouTube videos (we also added the dataset [ClArTTS](https://huggingface.co/datasets/AtharvA7k/ClArTTS). The dataset is paired with aligned Arabic text transcriptions and is intended for training and evaluating ASR models, such as OpenAI's Whisper, with an emphasis on accurate recognition of Arabic pronunciation and diacritics.
+This dataset is designed for Automatic Speech Recognition (ASR), focusing on Arabic speech with precise transcriptions including tashkeel (diacritics). It contains 33,607 audio samples from multiple sources: Microsoft Edge TTS API, Common Voice (validated Arabic subset), individual contributions, and manually transcribed YouTube videos (we also added the dataset [ClArTTS](https://huggingface.co/datasets/AtharvA7k/ClArTTS)). The dataset is paired with aligned Arabic text transcriptions and is intended for training and evaluating ASR models, such as OpenAI's Whisper, with an emphasis on accurate recognition of Arabic pronunciation and diacritics.
 
 
 - **Dataset Size**: 33,607 samples