code: def test_get_dataset_config_info_private(
      hf_token, hf_private_dataset_repo_txt_data
  ):
      info = get_dataset_config_info(
          hf_private_dataset_repo_txt_data,
          config_name="default",
          token=hf_token,
      )
      assert list(info.splits.keys()) == ["train"]
  
file_path: datasets/tests/test_inspect.py
imports: import os
  from pathlib import Path
  import pytest
  from datasets.inspect import get_dataset_config_info, get_dataset_config_names, get_dataset_default_config_name, get_dataset_infos, get_dataset_split_names, inspect_dataset, inspect_metric
  from datasets.packaged_modules.csv import csv
label_desc: Use image node_id 4 for calling a global function with example usage: test_get_dataset_config_info_private(hf_token, hf_private_dataset_repo_txt_data) without return types