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
docstr: Insert the following prompt into `{{ user_msg }}`, which is based on prompt version 0.3
  ```
  以下の製品レビューを、ポジティブまたはネガティブの感情クラスのいずれかに分類してください。
  
  {query} [/INST]
  ```
docstr_tok: ["Insert","the","following","prompt","into","`","{","{","user_msg","}","}","`",",","which","is","based","on","prompt","version","0.3","``","`","\u4ee5\u4e0b\u306e\u88fd\u54c1\u30ec\u30d3\u30e5\u30fc\u3092\u3001\u30dd\u30b8\u30c6\u30a3\u30d6\u307e\u305f\u306f\u30cd\u30ac\u30c6\u30a3\u30d6\u306e\u611f\u60c5\u30af\u30e9\u30b9\u306e\u3044\u305a\u308c\u304b\u306b\u5206\u985e\u3057\u3066\u304f\u3060\u3055\u3044\u3002","{","query","}","[","\/INST","]","``","`"]
code: def doc_to_text(self, doc):
      """
      Insert the following prompt into `{{ user_msg }}`, which is based on prompt version 0.3
      ```
      以下の製品レビューを、ポジティブまたはネガティブの感情クラスのいずれかに分類してください。
  
      {query} [/INST]
      ```
      """
      input_text = doc["query"]
      return f"{self.INSTRUCTION}\n\n{input_text} [/INST] "
  
imports: import os
  from lm_eval.base import BalancedMultipleChoiceTask, rf
label_desc: Use image node_id 1 for calling the MARCJaWithLlama2 obj's underlying member method code with example usage: obj.doc_to_text(doc) and returns: self, str, input_text, str