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
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 {"em": True, "f1": True}
  
imports: import inspect
  import numpy
  import re
  import string
  import lm_eval.datasets.drop.drop
  from scipy.optimize import linear_sum_assignment
  from lm_eval.base import Task, rf
  from lm_eval.metrics import mean
label_desc: Use image node_id 28 for calling the DROP obj's underlying member method code with example usage: obj.higher_is_better() and returns: dict