code: def download_regression_dataset():
      url = "https://raw.githubusercontent.com/microsoft/LightGBM/master/examples/regression/"
      train_file_name = "regression.train"
      test_file_name = "regression.test"
  
      train_ds_path = f"{url}{train_file_name}"
      test_ds_path = f"{url}{test_file_name}"
  
      try:
          os.system(f"wget -c {train_ds_path} -O {train_file_name}")
          os.system(f"wget -c {test_ds_path} -O {test_file_name}")
      except Exception as e:
          logging.info(f"Failed to download the dataset: {e}")
  
      return train_ds_path, test_ds_path
  
imports: import logging
  import os
  import lightgbm
  import pandas
  from aim.lightgbm import AimCallback
  from sklearn.metrics import mean_squared_error
label_desc: Use image node_id 1 for calling a global function with example usage: download_regression_dataset() and returns: train_ds_path,  test_ds_path