code: def load_data(
      self,
      json_file: PATH_TYPE,
      question_column_name: str = "question",
      context_column_name: str = "context",
      answer_column_name: str = "answer",
  ) -> Dataset:
      path = Path(json_file)
      with open(path, "rb") as f:
          squad_v_2_dict = json.load(f)
  
      ids = []
      titles = []
      contexts = []
      questions = []
      answers = []
      for topic in squad_v_2_dict["data"]:
          title = topic["title"]
          for comprehension in topic["paragraphs"]:
              context = comprehension["context"]
              for qa in comprehension["qas"]:
                  question = qa["question"]
                  ids.append(qa["id"])
                  titles.append(title)
                  contexts.append(context)
                  questions.append(question)
  
                  if not self.predicting:
                      _answer_starts = [
                          answer["answer_start"]
                          for answer in qa["answers"]
                      ]
                      _answers = [
                          answer["text"] for answer in qa["answers"]
                      ]
                      answers.append(
                          {
                              "text": _answers,
                              "answer_start": _answer_starts,
                          }
                      )
  
      data = {
          "id": ids,
          "title": titles,
          "context": contexts,
          "question": questions,
      }
      if not self.predicting:
          data["answer"] = answers
  
      return super().load_data(
          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 QuestionAnsweringSQuADInput obj's underlying member method code with example usage: obj.load_data(json_file, question_column_name, context_column_name, answer_column_name) and returns: super