code: def _get_builtin_metadata(dataset_name):
      if dataset_name == "coco":
          return _get_coco_instances_meta()
      if dataset_name == "coco_panoptic_separated":
          return _get_coco_panoptic_separated_meta()
      elif dataset_name == "coco_person":
          return {
              "thing_classes": ["person"],
              "keypoint_names": COCO_PERSON_KEYPOINT_NAMES,
              "keypoint_flip_map": COCO_PERSON_KEYPOINT_FLIP_MAP,
              "keypoint_connection_rules": KEYPOINT_CONNECTION_RULES,
          }
      elif dataset_name == "cityscapes":
          # fmt: off
          CITYSCAPES_THING_CLASSES = [
              "person", "rider", "car", "truck",
              "bus", "train", "motorcycle", "bicycle",
          ]
          CITYSCAPES_STUFF_CLASSES = [
              "road", "sidewalk", "building", "wall", "fence", "pole", "traffic light",
              "traffic sign", "vegetation", "terrain", "sky", "person", "rider", "car",
              "truck", "bus", "train", "motorcycle", "bicycle", "license plate",
          ]
          # fmt: on
          return {
              "thing_classes": CITYSCAPES_THING_CLASSES,
              "stuff_classes": CITYSCAPES_STUFF_CLASSES,
          }
      raise KeyError(
          "No built-in metadata for dataset {}".format(dataset_name)
      )
  
label_desc: Use image node_id 3 for calling a global function with example usage: _get_builtin_metadata(dataset_name) and returns: _get_coco_instances_meta, _get_coco_panoptic_separated_meta, dict, dict