def METHOD_NAME():
  """Load MUV datasets. Does not do train/test split"""
  # Load MUV dataset
  print("About to load MUV dataset.")
  current_dir = os.path.dirname(os.path.realpath(__file__))
  dataset_file = os.path.join(current_dir, "../../datasets/muv.csv.gz")
  # Featurize MUV dataset
  print("About to featurize MUV dataset.")
  featurizer = dc.feat.ConvMolFeaturizer()
  MUV_tasks = sorted([
      'MUV-692', 'MUV-689', 'MUV-846', 'MUV-859', 'MUV-644', 'MUV-548',
      'MUV-852', 'MUV-600', 'MUV-810', 'MUV-712', 'MUV-737', 'MUV-858',
      'MUV-713', 'MUV-733', 'MUV-652', 'MUV-466', 'MUV-832'
  ])
  loader = dc.data.CSVLoader(
      tasks=MUV_tasks, smiles_field="smiles", featurizer=featurizer)
  dataset = loader.featurize(dataset_file)
  # Initialize transformers
  transformers = [dc.trans.BalancingTransformer(dataset=dataset)]
  print("About to transform data")
  for transformer in transformers:
    dataset = transformer.transform(dataset)
  return MUV_tasks, dataset, transformers