class_docstr: Base functionality for Dataset and Corpus objects.
class_docstr_tok: ["Base","functionality","for","Dataset","and","Corpus","objects","."]
docstr: Returns the contents of the meta.json file that describes important
  attributes about the dataset and modifies the behavior of the loader.
docstr_tok: ["Returns","the","contents","of","the","meta.json","file","that","describes","important","attributes","about","the","dataset","and","modifies","the","behavior","of","the","loader","."]
code: def meta(self):
      """
      Returns the contents of the meta.json file that describes important
      attributes about the dataset and modifies the behavior of the loader.
      """
      path = find_dataset_path(
          self.name,
          data_home=self.data_home,
          fname="meta.json",
          raises=False,
      )
      if path is None:
          return None
  
      with open(path, "r") as f:
          return json.load(f)
  
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 5 for calling the BaseDataset obj's underlying member method code with example usage: obj.meta() and returns: None, json