Update README.md

README.md

@@ -18,7 +18,7 @@ license: apache-2.0
 ## Dataset Description:
 Ayah-Corpus is a large-scale, multi-reciter Arabic speech dataset meticulously curated for Automatic Speech Recognition (ASR) tasks. It consists of high-quality audio recordings of Quranic verses (Ayahs) paired with their corresponding exact transcriptions. The audio is sourced from two primary repositories: Al-Quran.cloud and EveryAyah.com.
 
-This dataset is specifically designed to facilitate the development of ASR models for Quranic Arabic, which features a distinct vocabulary, phonetic structure, and recitation style (Tajweed) compared to Modern Standard Arabic or colloquial dialects. All audio files have been standardized to a 16kHz sampling rate to be compatible with most modern ASR pipelines.
+This dataset is specifically designed to facilitate the development of ASR models for Quranic Arabic, which features a distinct vocabulary, phonetic structure, and recitation style (Tajweed) compared to Modern Standard Arabic or colloquial dialects. All audio files have been standardized to a **16kHz** sampling rate to be compatible with most modern ASR pipelines.
 
 ## Dataset Structure:
 The dataset is divided into train, validation, and test splits, ensuring a strict separation of reciters between the sets to evaluate model generalization to unseen voices.