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Generated Review problem #4
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"discriminator_train/positive" stores the real data. "discriminator_train/negative" stores the data generated by our code. It is important to note that "positive/negative" means the positive samples and negative samples for discriminator, rather than favourable/disapproving comments. |
Thank You, |
train_sample_generated/7epoch_step2_temp_positive/000012.txt is not the generated data. It is the copy of original reviews to show what the real-life reviews should be. If you want to see the generated data, please open the folder "train_sample_generated/7epoch_step2_temp_negative/000012.txt". |
Thank You, |
I will add more folder descriptions in readme.md soon. Thank you for your suggestion! |
Please add folder description |
Sorry for the delay. I will upload the folder description in 24 hours. |
Thanks for updating Readme |
@akhileshkumargangwar How long does it take to run the code? I run the code by running the "run.sh" file. It has been 24 hours now, it is still running. And I am using a GPU. |
I want to ask how data is splitted into postive and negative reviews.When I checked manually many reviews whose score is 1 or 2 has been assigned to positive folder (discriminator_train/positive).Logically it is negative review.
After adversial training in this (train_sample_generated/7epoch_step2_temp_positive/000012.txt) file generated review is just copy of original given review.
Orginal Input Review-- {"review": "i wasnt thrilled with the taste of the food compared to how pricy it is . i would have enjoyed a juicy steak somewhere else . however i do like the romance of fondue", "score": "3"}
Generated Review in file 000012.txt---{"label": "1", "example": "i would have enjoyed a juicy steak somewhere else . however i do like the romance of fondue"}
It has just reduced one sentence. Is it like that.
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