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@Omer Omer commented Apr 3, 2017

I'm rather new to the concepts of RNNs (and haven't written any python in years!) so I hope I'm not making a fundamental mistake. 😄

Reading preprocess.py I could not help but notice that we build the vocabulary using the entire input file (i.e. we also use the test and validation data). Was this an intentional decision? Wouldn't that mean using vocabulary that is not present in the training data during training?

Thank you for taking the time implementing this awesome library!

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