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@@ -35,7 +35,7 @@ The default options can be edited in main.py.
"discriminator_result" stores the reward scores calculated by our discriminator at different training steps.
"MLE" stores the text generated by a pre-trained generator on testing set. Under this folder, "MLE_sample_negative" stores the data generated by a sampling mechanism. "MLE_max_temp_negative" stores the data generated by a maximum probability mechanism, which always chooses words with the highest probability. To show what the high-quality reviews should be, we also give the real-data text at folder "MLE_sample_positive" and "MLE_sample_positive".
"MLE" stores the text generated by a pre-trained generator on testing set. Under this folder, "MLE_sample_negative" stores the data generated by a sampling mechanism. "MLE_max_temp_negative" stores the data generated by a maximum probability mechanism, which always chooses words with the highest probability. To show what high-quality reviews should be, we also give the real-data text at folder "MLE_sample_positive" and "MLE_sample_positive".
"train_sample_generated" stores the data generated by DP-GAN using a sampling mechanism on training data.
