docstr: 与えられた選択肢の中から、最適な答えを選んでください。
  
  質問：{question}
  選択肢：
  - {choice0}
  - {choice4}
  回答：
docstr_tok: ["\u4e0e\u3048\u3089\u308c\u305f\u9078\u629e\u80a2\u306e\u4e2d\u304b\u3089\u3001\u6700\u9069\u306a\u7b54\u3048\u3092\u9078\u3093\u3067\u304f\u3060\u3055\u3044\u3002","\u8cea\u554f\uff1a","{","question","}","\u9078\u629e\u80a2\uff1a","-","{","choice0","}","-","{","choice4","}","\u56de\u7b54\uff1a"]
code: def doc_to_text(self, doc):
      """
      与えられた選択肢の中から、最適な答えを選んでください。
  
      質問：{question}
      選択肢：
      - {choice0}
      - {choice4}
      回答：
      """
      choices = "\n".join([f"- {choice}" for choice in doc["choices"]])
      input_text = f"質問：{doc['goal']}\n選択肢：\n{choices}\n回答："
      return input_text
  
imports: import os
  import warnings
  import time
  from lm_eval.base import MultipleChoiceTask, rf
  import numpy
label_desc: Use image node_id 1 for calling the JCommonsenseQAWithFintanPromptV21 obj's underlying member method code with example usage: obj.doc_to_text(doc) and returns: input_text