code: def load_data(dataset, remove_self_loop=False):
      if dataset == "ACM":
          return load_acm(remove_self_loop)
      elif dataset == "ACMRaw":
          return load_acm_raw(remove_self_loop)
      else:
          return NotImplementedError(
              "Unsupported dataset {}".format(dataset)
          )
  
imports: import datetime
  import errno
  import os
  import pickle
  import random
  from pprint import pprint
  import dgl
  import numpy
  import torch
  from dgl.data.utils import _get_dgl_url, download, get_download_dir
  from scipy import io, sparse
label_desc: Use image node_id 10 for calling a global function with example usage: load_data(dataset, remove__loop) and returns: load_acm, load_acm_raw, NotImplementedError