code: def load_raw_data(url):
      with mlflow.start_run():
          local_dir = tempfile.mkdtemp()
          local_filename = os.path.join(local_dir, "ml-20m.zip")
          print(f"Downloading {url} to {local_filename}")
          r = requests.get(url, stream=True)
          with open(local_filename, "wb") as f:
              for chunk in r.iter_content(chunk_size=1024):
                  if chunk:  # filter out keep-alive new chunks
                      f.write(chunk)
  
          extracted_dir = os.path.join(local_dir, "ml-20m")
          print(f"Extracting {local_filename} into {extracted_dir}")
          with zipfile.ZipFile(local_filename, "r") as zip_ref:
              zip_ref.extractall(local_dir)
  
          ratings_file = os.path.join(extracted_dir, "ratings.csv")
  
          print(f"Uploading ratings: {ratings_file}")
          mlflow.log_artifact(ratings_file, "ratings-csv-dir")
  
imports: import os
  import tempfile
  import zipfile
  import click
  import requests
  import mlflow
label_desc: Use image node_id 1 for calling a global function with example usage: load_raw_data(url) without return types