class_docstr: Class to read benchmark datasets for the community detection or node embedding task.
  
  Args:
      dataset (str): Dataset of interest, one of:
          (:obj:`"facebook"`, :obj:`"twitch"`, :obj:`"wikipedia"`, :obj:`"github"`, :obj:`"lastfm"`, :obj:`"deezer"`). Default is 'wikipedia'.
class_docstr_tok: ["Class","to","read","benchmark","datasets","for","the","community","detection","or","node","embedding","task",".","Args",":","dataset","(","str",")",":","Dataset","of","interest",",","one","of",":","(",":","obj",":","`","``","facebook","''","`",",",":","obj",":","`","``","twitch","''","`",",",":","obj",":","`","``","wikipedia","''","`",",",":","obj",":","`","``","github","''","`",",",":","obj",":","`","``","lastfm","''","`",",",":","obj",":","`","``","deezer","''","`",")",".","Default","is","'wikipedia","'","."]
docstr: Getting the class membership of nodes.
  
  Return types:
      * **target** *(Numpy array)* - Class membership vector.
docstr_tok: ["Getting","the","class","membership","of","nodes",".","Return","types",":","*","*","*","target","*","*","*","(","Numpy","array",")","*","-","Class","membership","vector","."]
code: def get_target(self) -> np.array:
      r"""Getting the class membership of nodes.
  
      Return types:
          * **target** *(Numpy array)* - Class membership vector.
      """
      data = self._dataset_reader("target.csv")
      target = np.array(data["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 6 for calling the GraphReader obj's underlying member method code with example usage: obj.get_target() and returns: target