code: def load_decathlon_datalist(
      data_list_file_path: PathLike,
      is_segmentation: bool = True,
      data_list_key: str = "training",
      base_dir: PathLike | None = None,
  ) -> list[dict]:
      """Load image/label paths of decathlon challenge from JSON file
  
      Json file is similar to what you get from http://medicaldecathlon.com/
      Those dataset.json files
  
      Args:
          data_list_file_path: the path to the json file of datalist.
          is_segmentation: whether the datalist is for segmentation task, default is True.
          data_list_key: the key to get a list of dictionary to be used, default is "training".
          base_dir: the base directory of the dataset, if None, use the datalist directory.
  
      Raises:
          ValueError: When ``data_list_file_path`` does not point to a file.
          ValueError: When ``data_list_key`` is not specified in the data list file.
  
      Returns a list of data items, each of which is a dict keyed by element names, for example:
  
      .. code-block::
  
          [
              {'image': '/workspace/data/chest_19.nii.gz',  'label': 0},
              {'image': '/workspace/data/chest_31.nii.gz',  'label': 1}
          ]
  
      """
      data_list_file_path = Path(data_list_file_path)
      if not data_list_file_path.is_file():
          raise ValueError(
              f"Data list file {data_list_file_path} does not exist."
          )
      with open(data_list_file_path) as json_file:
          json_data = json.load(json_file)
      if data_list_key not in json_data:
          raise ValueError(
              f'Data list {data_list_key} not specified in "{data_list_file_path}".'
          )
      expected_data = json_data[data_list_key]
      if data_list_key == "test" and not isinstance(
          expected_data[0], dict
      ):
          # decathlon datalist may save the test images in a list directly instead of dict
          expected_data = [{"image": i} for i in expected_data]
  
      if base_dir is None:
          base_dir = data_list_file_path.parent
  
      return _append_paths(base_dir, is_segmentation, expected_data)
  
file_path: MONAI/monai/data/decathlon_datalist.py
imports: from __future__ import annotations
  import json
  import os
  import warnings
  from collections.abc import Sequence
  from pathlib import Path
  from typing import overload
  from monai.config import KeysCollection, PathLike
  from monai.data.utils import partition_dataset, select_cross_validation_folds
  from monai.utils import ensure_tuple
label_desc: Use image node_id 5 for calling a global function with example usage: load_decathlon_datalist(data_list_file_path, is_segmentation, data_list_key, base_dir) and returns: _append_paths