code: def get_style_labeled_data_path(opt: Opt, base_task: str) -> str:
      """
      Return the filepath for the specified datatype of the specified base task, with an
      Image-Chat personality attached to each example.
      """
      build_style_labeled_datasets(opt)
      # Build the data if it doesn't exist.
      dt = opt["datatype"].split(":")[0]
      return os.path.join(
          get_style_labeled_data_folder(opt["datapath"]),
          base_task,
          dt + ".txt",
      )
  
imports: import os
  from parlai.core.message import Message
  from parlai.core.opt import Opt
  from parlai.core.teachers import ParlAIDialogTeacher
  from parlai.tasks.style_gen.build import build_personality_list, build_style_labeled_datasets, get_style_labeled_data_folder, TASK_FOLDER_NAME
  from parlai.tasks.wrapper.agents import AbstractWrapperTeacher
label_desc: Use image node_id 1 for calling a global function with example usage: get_style_labeled_data_path(opt, base_task) and returns: os