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Concerning seq2seq_go_bot: the documentation is still not finished, and the model is being actively improved. (Within a month a much better model is being released.)
Train/valid/test data is used from here. It contains dialogues from three distinct domains: calendar scheduling, weather information retrieval, and point-of-interest navigation.
Hi,
This is a very promising project, but I'm having troubles in understand how the models was created, e.g. seq2seq_go_bot?
What train/test/validation data was used?
How the model was built?
Thanks!
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