code: def get_tabular_data(
      data_filename: str,
  ) -> Tuple[pd.DataFrame, pd.DataFrame]:
      asset_file_path = os.path.join(TMP_DIRECTORY_PATH, data_filename)
  
      test_data = pd.read_csv(asset_file_path, header=None)
      label, features = test_data.iloc[:, :1], test_data.iloc[:, 1:]
  
      return label, features
  
imports: from __future__ import absolute_import
  import functools
  import json
  import uuid
  from typing import Any, Dict, List, Tuple
  import boto3
  import pandas
  import os
  from botocore.config import Config
  import pytest
  from tests.integ.sagemaker.jumpstart.constants import TEST_ASSETS_SPECS, TMP_DIRECTORY_PATH, TRAINING_DATASET_MODEL_DICT, ContentType
  from sagemaker.jumpstart.constants import JUMPSTART_DEFAULT_REGION_NAME
  from sagemaker.jumpstart.utils import get_jumpstart_content_bucket
  from sagemaker.session import Session
label_desc: Use image node_id 7 for calling a global function with example usage: get_tabular_data(data_filename) and returns: label,  features