code: def get_dataset_config(
      dataset_class=DATASET_ALPHA158_CLASS,
      train=("2008-01-01", "2014-12-31"),
      valid=("2015-01-01", "2016-12-31"),
      test=("2017-01-01", "2020-08-01"),
      handler_kwargs={"instruments": CSI300_MARKET},
  ):
      return {
          "class": "DatasetH",
          "module_path": "qlib.data.dataset",
          "kwargs": {
              "handler": {
                  "class": dataset_class,
                  "module_path": "qlib.contrib.data.handler",
                  "kwargs": get_data_handler_config(**handler_kwargs),
              },
              "segments": {
                  "train": train,
                  "valid": valid,
                  "test": test,
              },
          },
      }
  
label_desc: Use image node_id 2 for calling a global function with example usage: get_dataset_config(dataset_class, train, valid, test, handler_kwargs) and returns: dict