code: def load_data(
      self,
      json_file: PATH_TYPE,
      field: str,
      question_column_name: str = "question",
      context_column_name: str = "context",
      answer_column_name: str = "answer",
  ) -> Dataset:
      dataset_dict = load_dataset(
          "json", data_files={"data": str(json_file)}, field=field
      )
      return super().load_data(
          dataset_dict["data"],
          question_column_name=question_column_name,
          context_column_name=context_column_name,
          answer_column_name=answer_column_name,
      )
  
imports: import json
  from pathlib import Path
  from typing import Any, Dict
  import flash
  from flash.core.data.io.input import Input
  from flash.core.data.utilities.loading import load_data_frame
  from flash.core.data.utilities.paths import PATH_TYPE
  from flash.core.utilities.imports import _TOPIC_TEXT_AVAILABLE, requires
label_desc: Use image node_id 1 for calling the QuestionAnsweringJSONInput obj's underlying member method code with example usage: obj.load_data(json_file, field, question_column_name, context_column_name, answer_column_name) and returns: super