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@@ -20,7 +20,7 @@ This modelization is close to [tblard/tf-allocine](https://huggingface.co/tblard
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  Dataset
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- The dataset is composed of XXX,XXX reviews for training and X,XXX reviews for the test coming from Amazon, and respectively XXX,XXX and X,XXX critics from [Allocine website](https://www.allocine.fr/). The dataset is labeled into 5 categories:
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  * 1 star: represents a very bad appreciation,
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  * 2 stars: bad appreciation,
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  * 3 stars: neutral appreciation,
 
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  Dataset
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  -------
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+ The dataset is composed of 204,993 reviews for training and 4,999 reviews for the test coming from Amazon, and respectively 235,516 and 4,729 critics from [Allocine website](https://www.allocine.fr/). The dataset is labeled into 5 categories:
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  * 1 star: represents a very bad appreciation,
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  * 2 stars: bad appreciation,
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  * 3 stars: neutral appreciation,