code: def test_list_available_datasets(origin_repo):
      """Test function for listing available datasets.
  
      check for two datasets repo format types:
      1. https://www.timeseriesclassification.com/
      2  https://forecastingdata.org/
  
      """
      dataset_name = "UnitTest"
      available_datasets = _list_available_datasets(
          extract_path=None, origin_repo=origin_repo
      )
      assert (
          dataset_name in available_datasets
      ), f"{dataset_name} dataset should be available."
  
file_path: sktime/sktime/datasets/tests/test_data_io.py
imports: import numpy
  import pandas
  import pytest
  from sktime.datasets import load_basic_motions, load_UCR_UEA_dataset, load_uschange
  from sktime.datasets._data_io import _list_available_datasets, _load_provided_dataset
  from sktime.datatypes import check_is_mtype, scitype_to_mtype
label_desc: Use image node_id 6 for calling a global function with example usage: test_list_available_datasets(origin_repo) without return types