code: def doc_to_text(self, doc):
      return (
          f"{doc['sentence']}\nQuestion: {doc['question']}\n"
          f"Answer: {doc['answer']}\nPlausible:"
      )
  
imports: import numpy
  from collections import defaultdict
  from lm_eval.base import rf, Task
label_desc: Use image node_id 6 for calling the MCTACO obj's underlying member method code with example usage: obj.doc_to_text(doc) and returns: doc, str, doc, str, doc, str