class_docstr: Corpus datasets contain a reference to documents on disk and provide
  utilities for quickly loading text data for use in machine learning
  workflows. The most common use of the corpus is to load the text analysis
  examples from the Yellowbrick documentation.
  
  Parameters
  ----------
  name : str
      The name of the corpus; should either be a folder in data home or
      specified in the yellowbrick.datasets.DATASETS variable. This name is
      used to perform all lookups and identify the corpus externally.
  
  data_home : str, optional
      The path on disk where data is stored. If not passed in, it is looked
      up from YELLOWBRICK_DATA or the default returned by ``get_data_home``.
  
  url : str, optional
      The web location where the archive file of the corpus can be
      downloaded from.
  
  signature : str, optional
      The signature of the data archive file, used to verify that the latest
      version of the data has been downloaded and that the download hasn't
      been corrupted or modified in anyway.
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docstr: Returns the list of file names for all documents.
docstr_tok: ["Returns","the","list","of","file","names","for","all","documents","."]
code: def files(self):
      """
      Returns the list of file names for all documents.
      """
      return [
          os.path.join(self.root, label, name)
          for label in self.labels
          for name in os.listdir(os.path.join(self.root, label))
      ]
  
imports: import os
  import json
  import numpy
  from .download import download_data
  from .path import find_dataset_path, dataset_exists
  from yellowbrick.exceptions import DatasetsError
  from yellowbrick.utils.decorators import memoized
label_desc: Use image node_id 3 for calling the Corpus obj's underlying member method code with example usage: obj.files() and returns: unknown