How to train and generate from our own Data?

[lantaoyu]

How to train and generate from our own Data?

[LantaoYu]

In our code, a synthetic environment, we first initialize an oracle model and use it to generate the real data. In the real scenarios, you can just skip the oracle building step and real data generation step and directly load the English poetry data as the real data. Specifically, in https://github.com/LantaoYu/SeqGAN/blob/master/MLE_SeqGAN/sequence_gan.py#L155 , we use the oracle to generate the real data, which is a set of sequences of numbers(index), you can just skip this step and https://github.com/LantaoYu/SeqGAN/blob/master/MLE_SeqGAN/sequence_gan.py#L156 will load the given real data, i.e. the poetry sequences. Note that you should also remove the original evaluation function and use your own evaluation metric if necessary.

[Crista23]

@jpcreamer @LantaoYu Could you please post the code for training on custom dataset?