code: def _gen_data_year(datasets_root_dir):
      year_url = "https://archive.ics.uci.edu/ml/machine-learning-databases/00203/YearPredictionMSD.txt.zip"
  
      local_url = os.path.join(
          datasets_root_dir, "YearPredictionMSD.txt.zip"
      )
  
      if not os.path.isfile(local_url):
          urlretrieve(year_url, local_url)
  
      df = pd.read_csv(local_url, header=None)
      X = df.iloc[:, 1:]
      y = df.iloc[:, 0]
  
      return X, y
  
imports: from cuml.internals.import_utils import has_scipy
  from cuml.internals.safe_imports import gpu_only_import_from
  from cuml.internals import input_utils
  from urllib.request import urlretrieve
  import sklearn.model_selection
  from sklearn.datasets import load_svmlight_file, fetch_covtype
  import cuml.datasets
  from cuml.internals.safe_imports import cpu_only_import
  import os
  import functools
  import gzip
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 12 for calling a global function with example usage: _gen_data_year(datasets_root_dir) and returns: X,  y