Error in get_dataset_adapter() in OTX API. "AttributeError: VISUAL_PROMPTING." and "TypeError: get_dataset_adapter() missing 1 required positional argument: 'train_type'".

[VishwaBhushanBH]

Describe the bug
While running the OTX API following this doc , in executing below command,

dataset_adapter = get_dataset_adapter(task_type = model_template.task_type,
                                      # set a path to the root folder of the wgisd repository
                                      train_data_roots="./wgisd",
                                      val_data_roots="./wgisd",
                                      test_data_roots="./wgisd")

1. It is throwing the below error,
TypeError: get_dataset_adapter() missing 1 required positional argument: 'train_type'

Upon adding a parameter "train_type = None" or "train_type = 'Incremental'" referring this

dataset_adapter = get_dataset_adapter(task_type = model_template.task_type,
                                      # set a path to the root folder of the wgisd repository
                                      train_type = None,
                                      train_data_roots="./data/wgisd",
                                      val_data_roots="./data/wgisd",
                                      test_data_roots="./data/wgisd")

2. It is further throwing the below error.

193 if encryption_key is not None:
194     dataset_kwargs["encryption_key"] = encryption_key
196 if self.task_type == TaskType.VISUAL_PROMPTING:
197     if self.data_type in ["coco"]:
198         dataset_kwargs["merge_instance_polygons"] = self.use_mask  # type: ignore[attr-defined]
File ~/anaconda3/envs/JupyterSystemEnv/lib/python3.10/enum.py:437, in EnumMeta.__getattr__(cls, name)
435     return cls._member_map_[name]
436 except KeyError:
437     raise AttributeError(name) from None

AttributeError: VISUAL_PROMPTING

Steps to Reproduce

1. Install OTX following this
2. Create OTX format dataset following this
3. Run the API code following this

Environment:

• OS:
• Framework version:
• Python version: 3.9
• OpenVINO version:
• CUDA/cuDNN version:12.0
• GPU model and memory:

[sungmanc]

Were you using the instance segmentation task?