code: def _return_data_big_small():
      """Returns one dataset with 144 data points and one with < 12 data points"""
      data = get_data("airline")
      data = data - 400
      data_small = data[:11]  # 11 data points
      datasets = [data, data_small]
  
      return datasets
  
imports: import random
  import numpy
  import pandas
  from pandas.testing import assert_frame_equal
  from sktime.forecasting.base import ForecastingHorizon
  from pycaret.containers.models.time_series import get_all_model_containers
  from pycaret.datasets import get_data
  from pycaret.time_series import TSForecastingExperiment
  from pycaret.utils.time_series import SeasonalPeriod
label_desc: Use image node_id 18 for calling a global function with example usage: _return_data_big_small() and returns: datasets