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README.md

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 ## 🗣️ Dataset Description
 
-This Hugging Face dataset is a collection of **audio-text pairs** specifically designed for speech processing tasks in the **Tigre language**, which is spoken primarily in Eritrea. It comprises **18,470 unique samples**, totaling approximately **114,948 seconds (~31.93 hours)** of speech.
+This Hugging Face dataset is a collection of **audio-text pairs** specifically designed for speech processing tasks in the **Tigre language**, which is spoken primarily in Eritrea. It comprises **18,470 unique samples**, totaling approximately ** 31.93 hours ** of speech.
 
 Each sample consists of an audio file (`.wav`) and its corresponding transcript (`.txt`), sharing the exact same filename prefix.
 
-The audio data was collected via the **Mozilla Common Voice platform**, with participation from **over 100 native Tigre speakers** primarily living in the diaspora who contributed recordings mostly using their cell phones.
+The audio data was collected via the **Mozilla Common Voice platform**, with participation from **over 100 native Tigre speakers** primarily living in the diaspora who contributed recordings mostly using their cell phones and personal computer.
 
 The distribution of speech durations is varied:
 * Approximately one-third of the samples are **less than 5 seconds**.