old_contents: from setuptools import setup
  
  __version__ = None  # Avoids IDE errors, but actual version is read from version.py
  exec (open('rasa_nlu/version.py').read())
  
  tests_requires = [
      "pytest",
      "pytest-pep8",
      "pytest-services",
      "pytest-cov",
      "pytest-twisted<1.6",
      "treq"
  ]
  
  install_requires = [
      "pathlib",
      "cloudpickle",
      "gevent",
      "klein",
      "boto3",
      "typing",
      "future",
      "six",
      "tqdm",
      "requests",
      "jsonschema",
      "matplotlib",
      "numpy>=1.13",
      "simplejson",
  ]
  
  extras_requires = {
      'test': tests_requires,
      'spacy': ["scikit-learn",
                "sklearn-crfsuite",
                "scipy",
                "spacy>2.0",
                ],
      'mitie': ["mitie"],
  }
  
  setup(
      name='rasa_nlu',
      packages=[
          'rasa_nlu',
          'rasa_nlu.utils',
          'rasa_nlu.classifiers',
          'rasa_nlu.emulators',
          'rasa_nlu.extractors',
          'rasa_nlu.featurizers',
          'rasa_nlu.tokenizers',
      ],
      classifiers=[
          "Programming Language :: Python :: 2.7",
          "Programming Language :: Python :: 3.4",
          "Programming Language :: Python :: 3.5",
          "Programming Language :: Python :: 3.6"
      ],
      version=__version__,
      install_requires=install_requires,
      tests_require=tests_requires,
      extras_require=extras_requires,
      include_package_data=True,
      description="Rasa NLU a natural language parser for bots",
      author='Alan Nichol',
      author_email='alan@rasa.ai',
      url="https://rasa.com",
      keywords=["nlp", "machine-learning", "machine-learning-library", "bot",
                "bots",
                "botkit", "rasa", "conversational-agents",
                "conversational-ai",
                "chatbot", "chatbot-framework", "bot-framework"],
      download_url="https://github.com/RasaHQ/rasa_nlu/archive/{}.tar.gz".format(__version__)
  )
  
  print("\nWelcome to Rasa NLU!")
  print("If any questions please visit documentation page https://rasahq.github.io/rasa_nlu")
  print("or join community chat on https://gitter.im/RasaHQ/rasa_nlu")
  
new_contents: from setuptools import setup
  
  __version__ = None  # Avoids IDE errors, but actual version is read from version.py
  exec (open('rasa_nlu/version.py').read())
  
  tests_requires = [
      "pytest",
      "pytest-pep8",
      "pytest-services",
      "pytest-cov",
      "pytest-twisted<1.6",
      "treq"
  ]
  
  install_requires = [
      "pathlib",
      "cloudpickle",
      "gevent",
      "klein",
      "boto3",
      "typing",
      "future",
      "six",
      "tqdm",
      "requests",
      "jsonschema",
      "matplotlib",
      "numpy>=1.13",
      "simplejson",
  ]
  
  extras_requires = {
      'test': tests_requires,
      'spacy': ["scikit-learn",
                "sklearn-crfsuite",
                "scipy",
                "spacy>2.0",
                ],
      'mitie': ["mitie"],
  }
  
  setup(
      name='rasa_nlu',
      packages=[
          'rasa_nlu',
          'rasa_nlu.utils',
          'rasa_nlu.classifiers',
          'rasa_nlu.emulators',
          'rasa_nlu.extractors',
          'rasa_nlu.featurizers',
          'rasa_nlu.tokenizers',
          'rasa_nlu.training_data',
      ],
      classifiers=[
          "Programming Language :: Python :: 2.7",
          "Programming Language :: Python :: 3.4",
          "Programming Language :: Python :: 3.5",
          "Programming Language :: Python :: 3.6"
      ],
      version=__version__,
      install_requires=install_requires,
      tests_require=tests_requires,
      extras_require=extras_requires,
      include_package_data=True,
      description="Rasa NLU a natural language parser for bots",
      author='Alan Nichol',
      author_email='alan@rasa.ai',
      url="https://rasa.com",
      keywords=["nlp", "machine-learning", "machine-learning-library", "bot",
                "bots",
                "botkit", "rasa", "conversational-agents",
                "conversational-ai",
                "chatbot", "chatbot-framework", "bot-framework"],
      download_url="https://github.com/RasaHQ/rasa_nlu/archive/{}.tar.gz".format(__version__)
  )
  
  print("\nWelcome to Rasa NLU!")
  print("If any questions please visit documentation page https://rasahq.github.io/rasa_nlu")
  print("or join community chat on https://gitter.im/RasaHQ/rasa_nlu")
  
subject: add training data to setup.py