hred
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Implements the paper " Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models" by Serban et al (currently on the MovieTriples dataset)
Can you please provide the dataset and dictionary file?
hi, thanks for your code and sharing. Because i don't have the Movie-triples dataset. I have some dialogs with different number of turns. So may i ask you, if the...
I cannot find the dataset file. please help me to get them.
There are some files which are missing. They are dict file ('/home/harshals/hed-dlg/Data/MovieTriples/Training.dict.pkl'), eval source ('/data2/chatbot_eval_issues/results/AMT_NCM_Test_NCM_Joao/neural_conv_model_eval_source.txt'). Please help me to get them.
Thanks so much for this repo! In `custom_collate_fn`: (https://github.com/hsgodhia/hred/blob/master/util.py#L72) We ``` return u1_batch[sort1, :], u1_lens[sort1], u2_batch[sort2, :], u2_lens[sort2], u3_batch[sort3, :], u3_lens[sort3] ``` Doesn't this imply that our `[d1,d2,d3]` `DialogTurns` will...
in util.py, you did "sort" for u1_batch, u2_batch, u3_batch Will this lead to u1, u2 and u3 don't match each other?
Thank you for your code! But in original HRED, for k context and one response, HRED generates k utterances. It seems that you only generate the final response in training...
https://github.com/hsgodhia/hred/blob/3ec59b6ad29a6db1b77379ac31ccc94eea628adf/util.py#L69 https://github.com/hsgodhia/hred/blob/3ec59b6ad29a6db1b77379ac31ccc94eea628adf/util.py#L72 I think it breaks the alignment. for example there are [u0_1, u0_2, u0_3], [u1_1, u0_2, u0_3] data, but after the alignment, the data can be [u0_1, u1_2, u0_3],...