code: def load_gaussian_cdf_data():
      """Load example with numbers sampled from Gaussian normal distribution.
      Each feature and task is a column of values that is sampled
      from a normal distribution of mean 0, stdev 1."""
      current_dir = os.path.dirname(os.path.abspath(__file__))
      features = ["feat0", "feat1"]
      featurizer = dc.feat.UserDefinedFeaturizer(features)
      tasks = ["task0", "task1"]
      input_file = os.path.join(
          current_dir, "assets/gaussian_cdf_example.csv"
      )
      loader = dc.data.UserCSVLoader(
          tasks=tasks, featurizer=featurizer, id_field="id"
      )
      return loader.create_dataset(input_file)
  
imports: import os
  import deepchem
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: load_gaussian_cdf_data() and returns: loader