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README.md

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 # Khan Academy Turkish Audio Dataset
 
-This dataset contains 78 hours of audio extracted from the Khan Academy Turkish YouTube channel.  
-The data has been segmented into short clips, each with an average duration of 10.5 seconds.  
+This dataset contains 78 hours of audio extracted from the Khan Academy Turkish YouTube channel. The data has been segmented into short clips, each with an average duration of 10.5 seconds.
 Accompanying this dataset, you will find a detailed video file tree that provides an overview of the source material.
 
 **Dataset Creation Process:**  
-The audio was extracted from the Khan Academy Turkish YouTube channel and then processed using several techniques to ensure high quality and precise segmentation.  
-Specifically, I applied high-quality resampling, voice activity detection (VAD), and forced alignment to accurately divide the audio into short clips.  
-Additionally, text processing was performed on the accompanying transcripts, and localization fixes were made—such as adjusting number formatting so that  
-thousands separators appear as “.” and decimal separators as “,” in accordance with Turkish conventions—along with other refinements.
+The audio was extracted from the Khan Academy Turkish YouTube channel and then processed using several techniques to ensure high quality and precise segmentation. Specifically, I applied high-quality resampling, voice activity detection (VAD), and forced alignment to accurately divide the audio into short clips.  
+Additionally, text processing was performed on the accompanying transcripts, and localization fixes were made—such as adjusting number formatting so that thousands separators appear as “.” and decimal separators as “,” in accordance with Turkish conventions—along with other refinements.
 
 
 ## Audio Specifications