Comments (3)
Check lines 51-60 of get_train_data.py. Just be careful with the index of the special symbols, BOS and EOS, their positions/indexes in the dictionary must be the same.
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I already figured out. There was a misunderstanding with the code from the file split_qa.py:
for i, raw_word in enumerate(text):
pos = raw_word.find('+++$+++')
if pos > -1:
person = raw_word[pos+7:pos+10]
raw_word = raw_word[pos+8:]
while pos > -1:
pos = raw_word.find('+++$+++')
raw_word = raw_word[pos+2:]
raw_word = raw_word.replace('$+++','')
previous_person = person
What are signatures used for '+++$+++', '$+++' ? There are no such signatures in the text, variable 'person' stays empty
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Okay, next time, please close the issue after finding the solution.
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Related Issues (20)
- Parameters of the model ? HOT 1
- limit = l[0][0] - IndexError: index 0 is out of bounds for axis 0 with size 0 HOT 5
- Error while running conversation.py HOT 6
- TypeError: Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int32, int64 HOT 8
- NameError: name 'embedding_matrix' is not defined HOT 3
- Getting AttributeError:int cannot find replace. HOT 5
- TypeError: 'module' object is not callable when executing train_bot.py HOT 4
- enhancement - investigate supplying conda environment.yml / requirements.txt with exported python 2.7.6 dependencies HOT 2
- Not a big deal, but Ubuntu does not like the spaces in the names HOT 4
- Any documentation on how to train it on our own data for the new GAN based algorithm? HOT 1
- eroor while running conversation.py HOT 1
- Any suggestion for large datasets? HOT 1
- how many data
- Python 3.7.x Theano AssertionError when starting the model in conversation.py HOT 2
- training custom data HOT 1
- where did you proposes a persona embedding? HOT 2
- how a new vocabulary file can be generated? HOT 5
- KeyError:Something HOT 4
- The file seq2seq_model.h5 isnt exist
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