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ATC-ASR-Dataset

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jacktol commited on May 31

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updated readme

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@@ -68,7 +68,7 @@ The raw corpora were normalized and cleaned using custom Python scripts. Key ste
 - Segmenting long audio files into utterance-level clips using timestamps
 - Uppercasing all transcripts for uniformity
-- Converting digits to words (e.g., `350` → `THREE FIVE ZERO`)
 - Expanding letters to phonetic alphabet equivalents (e.g., `N` → `NOVEMBER`)
 - Removing non-English, unintelligible, or corrupted segments
 - Normalizing diacritics and fixing broken Unicode characters

 - Segmenting long audio files into utterance-level clips using timestamps
 - Uppercasing all transcripts for uniformity
+- Converting digits to words (e.g., `3 5 0` → `THREE FIVE ZERO`)
 - Expanding letters to phonetic alphabet equivalents (e.g., `N` → `NOVEMBER`)
 - Removing non-English, unintelligible, or corrupted segments
 - Normalizing diacritics and fixing broken Unicode characters