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 {
          "f1_yesno": True,
          "f1_abstractive": True,
      }
  
imports: from collections import Counter
  import re
  import string
  from lm_eval.base import rf, Task
  from lm_eval.metrics import f1_score, mean
label_desc: Use image node_id 12 for calling the QASPER obj's underlying member method code with example usage: obj.higher_is_better() and returns: dict