class_docstr: Class to read benchmark datasets for the graph level embedding task.
  
  Args:
      dataset (str): Dataset of interest one of reddit10k. Default is 'reddit10k'.
class_docstr_tok: ["Class","to","read","benchmark","datasets","for","the","graph","level","embedding","task",".","Args",":","dataset","(","str",")",":","Dataset","of","interest","one","of","reddit10k",".","Default","is","'reddit10k","'","."]
docstr: Reading the dataset from the web.
docstr_tok: ["Reading","the","dataset","from","the","web","."]
code: def _dataset_reader(self, end):
      """
      Reading the dataset from the web.
      """
      path = self.base_url + self.dataset + "/" + end
      data = urllib.request.urlopen(path).read()
      return data
  
imports: import io
  import os
  import json
  import numpy
  import pandas
  import networkx
  from typing import List
  from six.moves import urllib
  from scipy.sparse import coo_matrix
label_desc: Use image node_id 3 for calling the GraphSetReader obj's underlying member method code with example usage: obj._dataset_reader(end) and returns: data