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
  ```
  与えられた前提と仮説の関係を回答してください。
  
  出力は以下から選択してください：
  含意
  矛盾
  中立
  
  前提：{premise}
  仮説：{hypothesis} [/INST]
  ```
docstr_tok: ["Insert","the","following","prompt","into","`","{","{","user_msg","}","}","`",",","which","is","based","on","prompt","version","0.3","``","`","\u4e0e\u3048\u3089\u308c\u305f\u524d\u63d0\u3068\u4eee\u8aac\u306e\u95a2\u4fc2\u3092\u56de\u7b54\u3057\u3066\u304f\u3060\u3055\u3044\u3002","\u51fa\u529b\u306f\u4ee5\u4e0b\u304b\u3089\u9078\u629e\u3057\u3066\u304f\u3060\u3055\u3044\uff1a","\u542b\u610f","\u77db\u76fe","\u4e2d\u7acb","\u524d\u63d0\uff1a","{","premise","}","\u4eee\u8aac\uff1a","{","hypothesis","}","[","\/INST","]","``","`"]
code: def doc_to_text(self, doc):
      """
      Insert the following prompt into `{{ user_msg }}`, which is based on prompt version 0.3
      ```
      与えられた前提と仮説の関係を回答してください。
  
      出力は以下から選択してください：
      含意
      矛盾
      中立
  
      前提：{premise}
      仮説：{hypothesis} [/INST]
      ```
      """
      input_text = f"前提：{doc['premise']}\n仮説：{doc['hypothesis']}"
      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 JNLIWithLlama2 obj's underlying member method code with example usage: obj.doc_to_text(doc) and returns: self, str, input_text, str