Selecting a sublist from list of lists after using Sentence Tokenizer

So i have some sentences in a list like:

some_list = ['Joe is travelling via train.' 
             'Joe waited for the train, but the train was late.'
             'Even after an hour, there was no sign of the 
              train. Joe then went to talk to station master about the 
              train's situation.']

Then i used nltk's Sentence tokenizer, because i want to analyse each sentence in a full sentence individually. So now the O/P looks something like this in lists of lists format :

sent_tokenize_list = [['Joe is travelling via train.'],
                      ['Joe waited for the train,',
                       'but the train was late.'],
                      ['Even after an hour,',
                       'there was no sign of the 
                        train.',
                       'Joe then went to talk to station master about 
                        the train's situation.']]

Now from this list of lists how can i select only the lists which have more than 1 sentence i.e 2nd and 3rd list in my example and have them in only list format as separate lists.

i.e O/P Should be

['Joe waited for the train,','but the train was late.'] 
['Even after an hour,','there was no sign of the train.',
 'Joe then went to talk to station master about the train's situation.']

Solution

You can use len to check the number of sentence in the list.

Ex:

sent_tokenize_list = [['Joe is travelling via train.'],
                      ['Joe waited for the train,',
                       'but the train was late.'],
                      ['Even after an hour,','there was no sign of the train.',"Joe then went to talk to station master about the train's situation."]]


print([i for i in sent_tokenize_list if len(i) >= 2])

Output:

[['Joe waited for the train,', 'but the train was late.'], ['Even after an hour,', 'there was no sign of the train.', "Joe then went to talk to station master about the train's situation."]]