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
  ```
  与えられた文脈から、質問に対する答えを抜き出してください。
  
  文脈：{context}
  質問：{question} [/INST]
  ```
docstr_tok: ["Insert","the","following","prompt","into","`","{","{","user_msg","}","}","`",",","which","is","based","on","prompt","version","0.3","``","`","\u4e0e\u3048\u3089\u308c\u305f\u6587\u8108\u304b\u3089\u3001\u8cea\u554f\u306b\u5bfe\u3059\u308b\u7b54\u3048\u3092\u629c\u304d\u51fa\u3057\u3066\u304f\u3060\u3055\u3044\u3002","\u6587\u8108\uff1a","{","context","}","\u8cea\u554f\uff1a","{","question","}","[","\/INST","]","``","`"]
code: def doc_to_text(self, doc):
      """
      Insert the following prompt into `{{ user_msg }}`, which is based on prompt version 0.3
      ```
      与えられた文脈から、質問に対する答えを抜き出してください。
  
      文脈：{context}
      質問：{question} [/INST]
      ```
      """
      context = self.SEP.join([text for text in doc["ctxs"]["text"]])
      answer_candidate = "文脈：" + context
      qa_prompt = self.doc_to_qa_prompt(doc)
      return f"{self.INSTRUCTION}\n\n{answer_candidate}\n{qa_prompt} [/INST] "
  
imports: import os
  import inspect
  import datasets
  from math import exp
  from lm_eval.base import rf, Task
  from functools import partial
  from lm_eval.jasquad import jasquad
label_desc: Use image node_id 1 for calling the JAQKETV2WithLlama2 obj's underlying member method code with example usage: obj.doc_to_text(doc) and returns: self, str, answer_candidate, str, qa_prompt, str