code: def get_dataset(data_name):
      data_name = data_name.lower()
      if data_name == "ppi":
          print("dataset is ppi")
          return ppi()
      elif data_name == "reddit":
          print("dataset is reddit")
          return reddit()
      elif data_name == "test_data":
          print("dataset is test_data")
          return test_data()
      elif data_name == "cora":
          print("dataset is cora")
          return cora()
      elif data_name == "pubmed":
          print("dataset is pubmed")
          return pubmed()
      elif data_name == "citeseer":
          print("dataset is citeseer")
          return citeseer()
      elif data_name == "fb15k":
          print("dataset is fb15k")
          return FB15K()
      elif data_name == "fb15k-237":
          print("dataset is fb15k-237")
          return FB15K237()
      elif data_name == "wn18":
          print("dataset is wn18")
          return WN18()
      elif data_name == "mutag":
          print("dataset is mutag")
          return MUTAG()
      elif data_name == "movielens-1m":
          print("dataset is movielens-1m")
          return MovieLens_1M()
      else:
          raise RuntimeError(
              "Failed to get dataset. \
                Dataset name must be one of \
                [ppi/reddit/cora/pubmed/citeseer/test_data/fb15k/MUTAG]"
          )
  
file_path: euler/tf_euler/python/dataset/utils.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tf_euler.python.dataset.ppi import ppi
  from tf_euler.python.dataset.reddit import reddit
  from tf_euler.python.dataset.test_data import test_data
  from tf_euler.python.dataset.cora import cora
  from tf_euler.python.dataset.pubmed import pubmed
  from tf_euler.python.dataset.citeseer import citeseer
  from tf_euler.python.dataset.fb15k import FB15K
  from tf_euler.python.dataset.fb15k237 import FB15K237
  from tf_euler.python.dataset.wn18 import WN18
  from tf_euler.python.dataset.mutag import MUTAG
  from tf_euler.python.dataset.ml_1m import MovieLens_1M
label_desc: Use image node_id 1 for calling a global function with example usage: get_dataset(data_name) and returns: ppi, reddit, test_data, cora, pubmed, citeseer, FB15K, FB15K237, WN18, MUTAG, MovieLens_1M