Update README.md

README.md

@@ -30,22 +30,3 @@ size_categories:
 ---
 common voice, google fleurs, JSUTv1.1, JAS_v2 (joujiboi/japanese-anime-speech-v2) processed for whisper. Not shuffled or normalized. 50% anime speech and 50% other. Other corpus's are fully represented.
 
-if needed:
-
-import neologdn
-import MeCab
-import re
-from transformers.models.whisper.english_normalizer import BasicTextNormalizer
-
-wakati = MeCab.Tagger("-Owakati")
-special_characters = '[\,\、\。\．\「\」\…\？\・\!\-\;\:\"\“\%\‘\”\�]'
-
-
-def norm_everything(batch): 
-    batch["sentence"] = neologdn.normalize(batch["sentence"]).strip() 
-    batch["sentence"] = normalizer(batch["sentence"]).strip() 
-    batch["sentence"] = wakati.parse(batch["sentence"]).strip() 
-    batch["sentence"] = re.sub(special_characters,'', batch["sentence"]).strip() 
-    return batch 
-
-ds = ds.map(norm_everything)