nlptown

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bert-base-multilingual-uncased-sentiment

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I am interested in benchmarking sentiment models, so need to know what data was used to finetune each model. I see that you used 150k reviews for finetuning in English, but it doesn't state if these reviews are taken from common benchmark sets like Amazon or Yelp.