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: Getting the class membership of graphs.
  
  Return types:
      * **target** *(Numpy array)* - Class membership vector.
docstr_tok: ["Getting","the","class","membership","of","graphs",".","Return","types",":","*","*","*","target","*","*","*","(","Numpy","array",")","*","-","Class","membership","vector","."]
code: def get_target(self) -> np.array:
      r"""Getting the class membership of graphs.
  
      Return types:
          * **target** *(Numpy array)* - Class membership vector.
      """
      data = self._dataset_reader("target.csv")
      data_tab = self._pandas_reader(data)
      target = np.array(data_tab["target"])
      return target
  
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 5 for calling the GraphSetReader obj's underlying member method code with example usage: obj.get_target() and returns: target