code: def load_unlabelled_data():
      current_dir = os.path.dirname(os.path.abspath(__file__))
      featurizer = dc.feat.CircularFingerprint(size=1024)
      tasks = []
      input_file = os.path.join(
          current_dir, "../../data/tests/no_labels.csv"
      )
      loader = dc.data.CSVLoader(
          tasks=tasks, feature_field="smiles", featurizer=featurizer
      )
      return loader.create_dataset(input_file)
  
file_path: deepchem/deepchem/trans/tests/test_normalization.py
imports: import os
  import deepchem
  import numpy
  import pytest
label_desc: Use image node_id 1 for calling a global function with example usage: load_unlabelled_data() and returns: loader