Repo does not work - Githubissues

I downloaded the repo and then tried to run it in a Jupyter notebook but got the following error:

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-3-18f31a175c27> in <module>()
----> 1 nlp_babi

NameError: name 'nlp_babi' is not defined

I don't know what is going on here?

I found a similar issue on github which suggested re-installing CoreNLP, I tried this and then got this error:

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-3-98edacc8b218> in <module>()
      2 
      3 corpus_parser = CorpusParser()
----> 4 get_ipython().magic(u'time corpus_parser.apply(doc_preprocessor)')

/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.pyc in magic(self, arg_s)
   2156         magic_name, _, magic_arg_s = arg_s.partition(' ')
   2157         magic_name = magic_name.lstrip(prefilter.ESC_MAGIC)
-> 2158         return self.run_line_magic(magic_name, magic_arg_s)
   2159 
   2160     #-------------------------------------------------------------------------

/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.pyc in run_line_magic(self, magic_name, line)
   2077                 kwargs['local_ns'] = sys._getframe(stack_depth).f_locals
   2078             with self.builtin_trap:
-> 2079                 result = fn(*args,**kwargs)
   2080             return result
   2081 

<decorator-gen-59> in time(self, line, cell, local_ns)

/usr/local/lib/python2.7/dist-packages/IPython/core/magic.pyc in <lambda>(f, *a, **k)
    186     # but it's overkill for just that one bit of state.
    187     def magic_deco(arg):
--> 188         call = lambda f, *a, **k: f(*a, **k)
    189 
    190         if callable(arg):

/usr/local/lib/python2.7/dist-packages/IPython/core/magics/execution.pyc in time(self, line, cell, local_ns)
   1179         if mode=='eval':
   1180             st = clock2()
-> 1181             out = eval(code, glob, local_ns)
   1182             end = clock2()
   1183         else:

<timed eval> in <module>()

/data/snorkel/snorkel/udf.pyc in apply(self, xs, clear, parallelism, progress_bar, count, **kwargs)
     38         print "Running UDF..."
     39         if parallelism is None or parallelism < 2:
---> 40             self.apply_st(xs, progress_bar, clear=clear, count=count, **kwargs)
     41         else:
     42             self.apply_mt(xs, parallelism, clear=clear, **kwargs)

/data/snorkel/snorkel/udf.pyc in apply_st(self, xs, progress_bar, count, **kwargs)
     61 
     62             # Apply UDF and add results to the session
---> 63             for y in udf.apply(x, **kwargs):
     64 
     65                 # Uf UDF has a reduce step, this will take care of the insert; else add to session

/data/snorkel/snorkel/parser.pyc in apply(self, x, **kwargs)
     46         """Given a Document object and its raw text, parse into processed Sentences"""
     47         doc, text = x
---> 48         for parts in self.corenlp_handler.parse(doc, text):
     49             parts = self.fn(parts) if self.fn is not None else parts
     50             yield Sentence(**parts)

/data/snorkel/snorkel/parser.pyc in parse(self, document, text)
    323             parts = defaultdict(list)
    324             dep_order, dep_par, dep_lab = [], [], []
--> 325             for tok, deps in zip(block['tokens'], block['basic-dependencies']):
    326                 # Convert PennTreeBank symbols back into characters for words/lemmas
    327                 parts['words'].append(PTB.get(tok['word'], tok['word']))

KeyError: 'basic-dependencies'

I don't know what's going on here?? Also the readthedocs documentation for this repo seems to be broken. And I'm a little uneasy about level of PEP-8 compliance as well...

Thanks! Alex

ix-ai-s1-17 / nlp-babi

Repo does not work #1