parameters: (self, data_sources, reader, decoder, num_samples,
                 items_to_descriptions, **kwargs)
docstring: Initializes the dataset.
  
      Args:
        data_sources: A list of files that make up the dataset.
        reader: The reader class, a subclass of BaseReader such as TextLineReader
          or TFRecordReader.
        decoder: An instance of a data_decoder.
        num_samples: The number of samples in the dataset.
        items_to_descriptions: A map from the items that the dataset provides to
          the descriptions of those items.
        **kwargs: Any remaining dataset-specific fields.
docstring_summary: Initializes the dataset.
docstring_tokens: Initializes the dataset .
function: def __init__(self, data_sources, reader, decoder, num_samples,
                 items_to_descriptions, **kwargs):
      """Initializes the dataset.
  
      Args:
        data_sources: A list of files that make up the dataset.
        reader: The reader class, a subclass of BaseReader such as TextLineReader
          or TFRecordReader.
        decoder: An instance of a data_decoder.
        num_samples: The number of samples in the dataset.
        items_to_descriptions: A map from the items that the dataset provides to
          the descriptions of those items.
        **kwargs: Any remaining dataset-specific fields.
      """
      kwargs['data_sources'] = data_sources
      kwargs['reader'] = reader
      kwargs['decoder'] = decoder
      kwargs['num_samples'] = num_samples
      kwargs['items_to_descriptions'] = items_to_descriptions
      self.__dict__.update(kwargs)
function_tokens: def __init__ ( self , data_sources , reader , decoder , num_samples , items_to_descriptions , * * kwargs ) : kwargs [ 'data_sources' ] = data_sources kwargs [ 'reader' ] = reader kwargs [ 'decoder' ] = decoder kwargs [ 'num_samples' ] = num_samples kwargs [ 'items_to_descriptions' ] = items_to_descriptions self . __dict__ . update ( kwargs )