class_docstr: This prompt version follows the Llama2-chat's prompt format:
  ```
  <s>[INST] <<SYS>>
  {{ system_prompt }}
  <</SYS>>
  
  {{ user_msg_1 }} [/INST] {{ model_answer_1 }} </s><s>[INST] {{ user_msg_2 }} [/INST]
  ```
  reference: https://huggingface.co/blog/llama2#how-to-prompt-llama-2
class_docstr_tok: ["This","prompt","version","follows","the","Llama2-chat","'s","prompt","format",":","``","`","<","s",">","[","INST","]","<","<","SYS",">",">","{","{","system_prompt","}","}","<","<","\/SYS",">",">","{","{","user_msg_1","}","}","[","\/INST","]","{","{","model_answer_1","}","}","<","\/s",">","<","s",">","[","INST","]","{","{","user_msg_2","}","}","[","\/INST","]","``","`","reference",":","https",":","\/\/huggingface.co\/blog\/llama2","#","how-to-prompt-llama-2"]
docstr: Insert the following prompt into `{{ user_msg }}`, which is based on prompt version 0.3
  ```
  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。出力は以下から選択してください：
  - choice0
  ...
  - choice4
  
  質問：... [/INST]
  ```
docstr_tok: ["Insert","the","following","prompt","into","`","{","{","user_msg","}","}","`",",","which","is","based","on","prompt","version","0.3","``","`","\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\u51fa\u529b\u306f\u4ee5\u4e0b\u304b\u3089\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\uff1a","-","choice0","...","-","choice4","\u8cea\u554f\uff1a","...","[","\/INST","]","``","`"]
code: def doc_to_text(self, doc):
      """
      Insert the following prompt into `{{ user_msg }}`, which is based on prompt version 0.3
      ```
      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。出力は以下から選択してください：
      - choice0
      ...
      - choice4
  
      質問：... [/INST]
      ```
      """
      choices = "\n".join([f"- {choice}" for choice in doc["choices"]])
      instruction_text = (
          self.INSTRUCTION + f"出力は以下から選択してください：\n{choices}"
      )
      input_text = f"質問：{doc['goal']}"
      return f"{instruction_text}\n\n{input_text} [/INST] "
  
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 JCommonsenseQAWithLlama2 obj's underlying member method code with example usage: obj.doc_to_text(doc) and returns: instruction_text, str, input_text, str