code: def get_splice_data():
      
  
      df = pd.read_csv('source_data/splice/splice.csv')
      X = df.reindex(columns=[x for x in df.columns.values if x != 'class'])
      X['dna'] = X['dna'].map(lambda x: list(str(x).strip()))
      for idx in range(60):
          X['dna_%d' % (idx, )] = X['dna'].map(lambda x: x[idx])
      del X['dna']
  
      y = df.reindex(columns=['class'])
      y = preprocessing.LabelEncoder().fit_transform(y.values.reshape(-1, ))
  
      # this data is truly categorical, with no known concept of ordering
      mapping = None
  
      return X, y, mapping
docs: Load the mushroom dataset, split it into X and y, and then call the label encoder to get an integer y column.
  
      :return: