code: def openDataFile(fileName):
      """Open dataset file and populate X, Y, and E
      Args:
          fileName (String) : filename of dataset, a structured (CSV) dataset where
                  - The first N-2 columns are the features (X).
                  - The next to last column is the label (Y) {0, 1}
                  - The last column gives the explanations (E) {0, 1, ..., MaxE}.  We assume the explanation space
                      is dense, i.e., if there are MaxE+1 unique explanations, they will be given IDs from 0 .. MaxE
                  - first row contains header information for each column and should be "Y" for labels and "E" for explanations
                  - each row is an instance
      Returns:
              X : list of features vectors
              Y : list of labels
              E : list of explanations
      """
      data = pd.read_csv(fileName)  # Load datafile into a dataframe
      X = data.iloc[
          :, :-2
      ]  # Choose all rows and all cols, except for the last 2 cols
      Y = data["Y"]  # Choose col with header 'Y'
      E = data["E"]  # Choose col with header 'E'
  
      return X, Y, E
  
label_desc: Use image node_id 1 for calling a global function with example usage: openDataFile(fileName) and returns: X,  Y,  E