code: def register(class_=None, **kwargs):
      
  
      def _real_register(class_):
          # Assert that the passed kwargs are meaningful
          for kwarg_name, values in kwargs.items():
              try:
                  real_args = inspect.getfullargspec(class_).args
              except AttributeError:
                  # pylint: disable=deprecated-method
                  real_args = inspect.getargspec(class_.__init__).args
  
              if not kwarg_name in real_args:
                  raise RuntimeError(
                      ('{} is not a valid argument for {}. '
                       'Only valid arguments can be registered.').format(
                           kwarg_name, class_.__name__))
  
              if not isinstance(values, (list, tuple)):
                  raise RuntimeError(('{} should be a list of '
                                      'valid arguments for {}. ').format(
                                          values, kwarg_name))
  
          # Save the kwargs associated with this class_
          _REGSITRY_NAME_KWARGS[class_] = kwargs
  
          register_ = registry.get_register_func(Dataset, 'dataset')
          return register_(class_)
  
      if class_ is not None:
          # Decorator was called without arguments
          return _real_register(class_)
  
      return _real_register
docs: Registers a dataset with segment specific hyperparameters.
  
      When passing keyword arguments to `register`, they are checked to be valid
      keyword arguments for the registered Dataset class constructor and are
      saved in the registry. Registered keyword arguments can be retrieved with
      the `list_datasets` function.
  
      All arguments that result in creation of separate datasets should be
      registered. Examples are datasets divided in different segments or
      categories, or datasets containing multiple languages.
  
      Once registered, an instance can be created by calling
      :func:`~gluonnlp.data.create` with the class name.
  
      Parameters
      ----------
      **kwargs : list or tuple of allowed argument values
          For each keyword argument, it's value must be a list or tuple of the
          allowed argument values.
  
      Examples
      --------
      >>> @gluonnlp.data.register(segment=['train', 'test', 'dev'])
      ... class MyDataset(gluon.data.Dataset):
      ...     def __init__(self, segment='train'):
      ...         pass
      >>> my_dataset = gluonnlp.data.create('MyDataset')
      >>> print(type(my_dataset))
      <class 'MyDataset'>