class_docstr: A Dataset Object, used to easily import edgelist data and cuGraph.Graph
  instances.
  
  Parameters
  ----------
  meta_data_file_name : yaml file
      The metadata file for the specific graph dataset, which includes
      information on the name, type, url link, data loading format, graph
      properties
class_docstr_tok: ["A","Dataset","Object",",","used","to","easily","import","edgelist","data","and","cuGraph.Graph","instances",".","Parameters","--","--","--","--","--","meta_data_file_name",":","yaml","file","The","metadata","file","for","the","specific","graph","dataset",",","which","includes","information","on","the","name",",","type",",","url","link",",","data","loading","format",",","graph","properties"]
docstr: Remove all saved internal objects, forcing them to be re-created when
  accessed.
  
  NOTE: This will cause calls to get_*() to re-read the dataset file from
  disk. The caller should ensure the file on disk has not moved/been
  deleted/changed.
docstr_tok: ["Remove","all","saved","internal","objects",",","forcing","them","to","be","re-created","when","accessed",".","NOTE",":","This","will","cause","calls","to","get_","*","(",")","to","re-read","the","dataset","file","from","disk",".","The","caller","should","ensure","the","file","on","disk","has","not","moved\/been","deleted\/changed","."]
code: def unload(self):
      """
      Remove all saved internal objects, forcing them to be re-created when
      accessed.
  
      NOTE: This will cause calls to get_*() to re-read the dataset file from
      disk. The caller should ensure the file on disk has not moved/been
      deleted/changed.
      """
      self._edgelist = None
  
imports: import cudf
  import dask_cudf
  import yaml
  import os
  import pandas
  import cugraph.dask
  from pathlib import Path
  import urllib.request
  from cugraph.structure.graph_classes import Graph
label_desc: Use image node_id 4 for calling the Dataset obj's underlying member method code with example usage: obj.unload() without return types