docstr: :returns: {str: bool}
      A dictionary where keys are the names of submetrics and values are
      whether a higher value of the submetric is better
docstr_tok: [":","returns",":","{","str",":","bool","}","A","dictionary","where","keys","are","the","names","of","submetrics","and","values","are","whether","a","higher","value","of","the","submetric","is","better"]
code: def higher_is_better(self):
      """
      :returns: {str: bool}
          A dictionary where keys are the names of submetrics and values are
          whether a higher value of the submetric is better
      """
      return {"acc": True}
  
file_path: lm-evaluation-harness/lm_eval/tasks/gsm8k.py
imports: import re
  from lm_eval.base import Task, rf
  from lm_eval.metrics import mean
label_desc: Use image node_id 14 for calling the GradeSchoolMath8K obj's underlying member method code with example usage: obj.higher_is_better() and returns: dict