Pytorch Chatbot Tutorial problem: How can I solve List Index Out of Range












-3














I’m new to pytorch and have been following the many tutorials available.
But, When I did The CHATBOT TUTORIAL is not work.



Like the figure below



enter image description here



What should I do and what is causing this?










share|improve this question




















  • 1




    Please do not put your error messages in the image, but rather paste the text to the actual post instead.
    – dennlinger
    Nov 11 at 13:01
















-3














I’m new to pytorch and have been following the many tutorials available.
But, When I did The CHATBOT TUTORIAL is not work.



Like the figure below



enter image description here



What should I do and what is causing this?










share|improve this question




















  • 1




    Please do not put your error messages in the image, but rather paste the text to the actual post instead.
    – dennlinger
    Nov 11 at 13:01














-3












-3








-3







I’m new to pytorch and have been following the many tutorials available.
But, When I did The CHATBOT TUTORIAL is not work.



Like the figure below



enter image description here



What should I do and what is causing this?










share|improve this question















I’m new to pytorch and have been following the many tutorials available.
But, When I did The CHATBOT TUTORIAL is not work.



Like the figure below



enter image description here



What should I do and what is causing this?







python nlp pytorch chatbot






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Dec 18 at 16:05









Cœur

17.4k9102143




17.4k9102143










asked Nov 11 at 9:43









眠咖啡

1




1








  • 1




    Please do not put your error messages in the image, but rather paste the text to the actual post instead.
    – dennlinger
    Nov 11 at 13:01














  • 1




    Please do not put your error messages in the image, but rather paste the text to the actual post instead.
    – dennlinger
    Nov 11 at 13:01








1




1




Please do not put your error messages in the image, but rather paste the text to the actual post instead.
– dennlinger
Nov 11 at 13:01




Please do not put your error messages in the image, but rather paste the text to the actual post instead.
– dennlinger
Nov 11 at 13:01












3 Answers
3






active

oldest

votes


















0














Are you running Windows? Currently most Pytorch tutorial requires Pytorch 1.0 which is currently unavailable on Windows, I'm trying it in a different OS.



Will edit the answer as soon as I get it running on Ubuntu 18.






share|improve this answer





















  • Yes,i run it on windows, but I import torch without any question. python 3.6  package: pip,CUDA:9.0 it seems some data processing have question.Because Errormessage show:IndexError: list index out of range I'm trying it in a different OS. "Will edit the answer as soon as I get it running on Ubuntu 18. " Ah, It was exhilarating, I will try it as soon as possible. the error seems happens in : def filterPair(p): def filterPairs(pairs): I am very confused about this.
    – 眠咖啡
    Nov 15 at 23:30



















0














def filter_pair(self, p):
try:
return len(p[0].split(' ')) < self.MAX_LENGTH and len(p[1].split(' '))< self.MAX_LENGTH
except:
return False


This is because some of pairs are empty list






share|improve this answer























  • Thanks, But the corpus are cornell movie-dialogs corpus.Corpus <cs.cornell.edu/~cristian/… is a rich dataset of movie character dialog: 220,579 conversational exchanges between 10,292 pairs of movie characters 9,035 characters from 617 movies 304,713 total utterances I am not understanding of the empty list in training data,but it showed Start preparing training data ... Reading lines... Read 442563 sentence pairs
    – 眠咖啡
    Nov 15 at 23:10





















0














I think the problem is the way the lines are read in resulting in blank lines. You can get over the problem rather crudely by filtering out blank lines. Here is such a crude solution in the readVocs routine.



# Read query/response pairs and return a voc object
def readVocs(datafile, corpus_name):
print("Reading lines...")
# Read the file and split into lines
lines = open(datafile, encoding='utf-8').
read().strip().split('n')
#Now on windows you seem to get alternate blank lines so filter them out.
lines2=
for l in lines:
if len(l)>0:
lines2.append(l)
#And as a check just print the first 10
for index, line in enumerate(lines2[:10]):
print(index,' - ',line)

# Split every line into pairs and normalize
pairs = [[normalizeString(s) for s in l.split('t')] for l in lines2]
voc = Voc(corpus_name)
return voc, pair





share|improve this answer





















  • I tried the above with the tutorial mentioned and it runs all the way through quite happily on Windows with Torch version 0.4.1
    – Mike Sharp
    Nov 19 at 18:55











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3 Answers
3






active

oldest

votes








3 Answers
3






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














Are you running Windows? Currently most Pytorch tutorial requires Pytorch 1.0 which is currently unavailable on Windows, I'm trying it in a different OS.



Will edit the answer as soon as I get it running on Ubuntu 18.






share|improve this answer





















  • Yes,i run it on windows, but I import torch without any question. python 3.6  package: pip,CUDA:9.0 it seems some data processing have question.Because Errormessage show:IndexError: list index out of range I'm trying it in a different OS. "Will edit the answer as soon as I get it running on Ubuntu 18. " Ah, It was exhilarating, I will try it as soon as possible. the error seems happens in : def filterPair(p): def filterPairs(pairs): I am very confused about this.
    – 眠咖啡
    Nov 15 at 23:30
















0














Are you running Windows? Currently most Pytorch tutorial requires Pytorch 1.0 which is currently unavailable on Windows, I'm trying it in a different OS.



Will edit the answer as soon as I get it running on Ubuntu 18.






share|improve this answer





















  • Yes,i run it on windows, but I import torch without any question. python 3.6  package: pip,CUDA:9.0 it seems some data processing have question.Because Errormessage show:IndexError: list index out of range I'm trying it in a different OS. "Will edit the answer as soon as I get it running on Ubuntu 18. " Ah, It was exhilarating, I will try it as soon as possible. the error seems happens in : def filterPair(p): def filterPairs(pairs): I am very confused about this.
    – 眠咖啡
    Nov 15 at 23:30














0












0








0






Are you running Windows? Currently most Pytorch tutorial requires Pytorch 1.0 which is currently unavailable on Windows, I'm trying it in a different OS.



Will edit the answer as soon as I get it running on Ubuntu 18.






share|improve this answer












Are you running Windows? Currently most Pytorch tutorial requires Pytorch 1.0 which is currently unavailable on Windows, I'm trying it in a different OS.



Will edit the answer as soon as I get it running on Ubuntu 18.







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 12 at 13:28









Kapil Pawar

13




13












  • Yes,i run it on windows, but I import torch without any question. python 3.6  package: pip,CUDA:9.0 it seems some data processing have question.Because Errormessage show:IndexError: list index out of range I'm trying it in a different OS. "Will edit the answer as soon as I get it running on Ubuntu 18. " Ah, It was exhilarating, I will try it as soon as possible. the error seems happens in : def filterPair(p): def filterPairs(pairs): I am very confused about this.
    – 眠咖啡
    Nov 15 at 23:30


















  • Yes,i run it on windows, but I import torch without any question. python 3.6  package: pip,CUDA:9.0 it seems some data processing have question.Because Errormessage show:IndexError: list index out of range I'm trying it in a different OS. "Will edit the answer as soon as I get it running on Ubuntu 18. " Ah, It was exhilarating, I will try it as soon as possible. the error seems happens in : def filterPair(p): def filterPairs(pairs): I am very confused about this.
    – 眠咖啡
    Nov 15 at 23:30
















Yes,i run it on windows, but I import torch without any question. python 3.6  package: pip,CUDA:9.0 it seems some data processing have question.Because Errormessage show:IndexError: list index out of range I'm trying it in a different OS. "Will edit the answer as soon as I get it running on Ubuntu 18. " Ah, It was exhilarating, I will try it as soon as possible. the error seems happens in : def filterPair(p): def filterPairs(pairs): I am very confused about this.
– 眠咖啡
Nov 15 at 23:30




Yes,i run it on windows, but I import torch without any question. python 3.6  package: pip,CUDA:9.0 it seems some data processing have question.Because Errormessage show:IndexError: list index out of range I'm trying it in a different OS. "Will edit the answer as soon as I get it running on Ubuntu 18. " Ah, It was exhilarating, I will try it as soon as possible. the error seems happens in : def filterPair(p): def filterPairs(pairs): I am very confused about this.
– 眠咖啡
Nov 15 at 23:30













0














def filter_pair(self, p):
try:
return len(p[0].split(' ')) < self.MAX_LENGTH and len(p[1].split(' '))< self.MAX_LENGTH
except:
return False


This is because some of pairs are empty list






share|improve this answer























  • Thanks, But the corpus are cornell movie-dialogs corpus.Corpus <cs.cornell.edu/~cristian/… is a rich dataset of movie character dialog: 220,579 conversational exchanges between 10,292 pairs of movie characters 9,035 characters from 617 movies 304,713 total utterances I am not understanding of the empty list in training data,but it showed Start preparing training data ... Reading lines... Read 442563 sentence pairs
    – 眠咖啡
    Nov 15 at 23:10


















0














def filter_pair(self, p):
try:
return len(p[0].split(' ')) < self.MAX_LENGTH and len(p[1].split(' '))< self.MAX_LENGTH
except:
return False


This is because some of pairs are empty list






share|improve this answer























  • Thanks, But the corpus are cornell movie-dialogs corpus.Corpus <cs.cornell.edu/~cristian/… is a rich dataset of movie character dialog: 220,579 conversational exchanges between 10,292 pairs of movie characters 9,035 characters from 617 movies 304,713 total utterances I am not understanding of the empty list in training data,but it showed Start preparing training data ... Reading lines... Read 442563 sentence pairs
    – 眠咖啡
    Nov 15 at 23:10
















0












0








0






def filter_pair(self, p):
try:
return len(p[0].split(' ')) < self.MAX_LENGTH and len(p[1].split(' '))< self.MAX_LENGTH
except:
return False


This is because some of pairs are empty list






share|improve this answer














def filter_pair(self, p):
try:
return len(p[0].split(' ')) < self.MAX_LENGTH and len(p[1].split(' '))< self.MAX_LENGTH
except:
return False


This is because some of pairs are empty list







share|improve this answer














share|improve this answer



share|improve this answer








edited Nov 15 at 19:33









pushkin

3,939112651




3,939112651










answered Nov 15 at 19:24









Bibhas

1




1












  • Thanks, But the corpus are cornell movie-dialogs corpus.Corpus <cs.cornell.edu/~cristian/… is a rich dataset of movie character dialog: 220,579 conversational exchanges between 10,292 pairs of movie characters 9,035 characters from 617 movies 304,713 total utterances I am not understanding of the empty list in training data,but it showed Start preparing training data ... Reading lines... Read 442563 sentence pairs
    – 眠咖啡
    Nov 15 at 23:10




















  • Thanks, But the corpus are cornell movie-dialogs corpus.Corpus <cs.cornell.edu/~cristian/… is a rich dataset of movie character dialog: 220,579 conversational exchanges between 10,292 pairs of movie characters 9,035 characters from 617 movies 304,713 total utterances I am not understanding of the empty list in training data,but it showed Start preparing training data ... Reading lines... Read 442563 sentence pairs
    – 眠咖啡
    Nov 15 at 23:10


















Thanks, But the corpus are cornell movie-dialogs corpus.Corpus <cs.cornell.edu/~cristian/… is a rich dataset of movie character dialog: 220,579 conversational exchanges between 10,292 pairs of movie characters 9,035 characters from 617 movies 304,713 total utterances I am not understanding of the empty list in training data,but it showed Start preparing training data ... Reading lines... Read 442563 sentence pairs
– 眠咖啡
Nov 15 at 23:10






Thanks, But the corpus are cornell movie-dialogs corpus.Corpus <cs.cornell.edu/~cristian/… is a rich dataset of movie character dialog: 220,579 conversational exchanges between 10,292 pairs of movie characters 9,035 characters from 617 movies 304,713 total utterances I am not understanding of the empty list in training data,but it showed Start preparing training data ... Reading lines... Read 442563 sentence pairs
– 眠咖啡
Nov 15 at 23:10













0














I think the problem is the way the lines are read in resulting in blank lines. You can get over the problem rather crudely by filtering out blank lines. Here is such a crude solution in the readVocs routine.



# Read query/response pairs and return a voc object
def readVocs(datafile, corpus_name):
print("Reading lines...")
# Read the file and split into lines
lines = open(datafile, encoding='utf-8').
read().strip().split('n')
#Now on windows you seem to get alternate blank lines so filter them out.
lines2=
for l in lines:
if len(l)>0:
lines2.append(l)
#And as a check just print the first 10
for index, line in enumerate(lines2[:10]):
print(index,' - ',line)

# Split every line into pairs and normalize
pairs = [[normalizeString(s) for s in l.split('t')] for l in lines2]
voc = Voc(corpus_name)
return voc, pair





share|improve this answer





















  • I tried the above with the tutorial mentioned and it runs all the way through quite happily on Windows with Torch version 0.4.1
    – Mike Sharp
    Nov 19 at 18:55
















0














I think the problem is the way the lines are read in resulting in blank lines. You can get over the problem rather crudely by filtering out blank lines. Here is such a crude solution in the readVocs routine.



# Read query/response pairs and return a voc object
def readVocs(datafile, corpus_name):
print("Reading lines...")
# Read the file and split into lines
lines = open(datafile, encoding='utf-8').
read().strip().split('n')
#Now on windows you seem to get alternate blank lines so filter them out.
lines2=
for l in lines:
if len(l)>0:
lines2.append(l)
#And as a check just print the first 10
for index, line in enumerate(lines2[:10]):
print(index,' - ',line)

# Split every line into pairs and normalize
pairs = [[normalizeString(s) for s in l.split('t')] for l in lines2]
voc = Voc(corpus_name)
return voc, pair





share|improve this answer





















  • I tried the above with the tutorial mentioned and it runs all the way through quite happily on Windows with Torch version 0.4.1
    – Mike Sharp
    Nov 19 at 18:55














0












0








0






I think the problem is the way the lines are read in resulting in blank lines. You can get over the problem rather crudely by filtering out blank lines. Here is such a crude solution in the readVocs routine.



# Read query/response pairs and return a voc object
def readVocs(datafile, corpus_name):
print("Reading lines...")
# Read the file and split into lines
lines = open(datafile, encoding='utf-8').
read().strip().split('n')
#Now on windows you seem to get alternate blank lines so filter them out.
lines2=
for l in lines:
if len(l)>0:
lines2.append(l)
#And as a check just print the first 10
for index, line in enumerate(lines2[:10]):
print(index,' - ',line)

# Split every line into pairs and normalize
pairs = [[normalizeString(s) for s in l.split('t')] for l in lines2]
voc = Voc(corpus_name)
return voc, pair





share|improve this answer












I think the problem is the way the lines are read in resulting in blank lines. You can get over the problem rather crudely by filtering out blank lines. Here is such a crude solution in the readVocs routine.



# Read query/response pairs and return a voc object
def readVocs(datafile, corpus_name):
print("Reading lines...")
# Read the file and split into lines
lines = open(datafile, encoding='utf-8').
read().strip().split('n')
#Now on windows you seem to get alternate blank lines so filter them out.
lines2=
for l in lines:
if len(l)>0:
lines2.append(l)
#And as a check just print the first 10
for index, line in enumerate(lines2[:10]):
print(index,' - ',line)

# Split every line into pairs and normalize
pairs = [[normalizeString(s) for s in l.split('t')] for l in lines2]
voc = Voc(corpus_name)
return voc, pair






share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 18 at 9:42









Mike Sharp

11




11












  • I tried the above with the tutorial mentioned and it runs all the way through quite happily on Windows with Torch version 0.4.1
    – Mike Sharp
    Nov 19 at 18:55


















  • I tried the above with the tutorial mentioned and it runs all the way through quite happily on Windows with Torch version 0.4.1
    – Mike Sharp
    Nov 19 at 18:55
















I tried the above with the tutorial mentioned and it runs all the way through quite happily on Windows with Torch version 0.4.1
– Mike Sharp
Nov 19 at 18:55




I tried the above with the tutorial mentioned and it runs all the way through quite happily on Windows with Torch version 0.4.1
– Mike Sharp
Nov 19 at 18:55


















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