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from datasets import load_dataset
from googletrans import Translator
def main():
translator = Translator()
raw_ds = load_dataset('SetFit/amazon_massive_intent_ja-JP')
for split, dset in raw_ds.items():
label_text = dset['label_text']
translations = []
progress = 0
for text in label_text:
progress+=1
if progress%1000 == 0:
print(progress)
print(translation)
text = text.replace("_", " ")
translation = translator.translate(text, dest='japanese').text
translations.append(translation)
dset = dset.add_column("label_text_jp", translations)
dset.to_json(f"{split}.jsonl")
if __name__ == "__main__":
main()
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