code: def higher_is_better(self):
      # TODO: For each (sub)metric in the task evaluation, add a key-value pair
      # with the metric name as key and a `bool` value determining whether or
      # not higher values of that metric are deemed better.
      return {}
  
file_path: lm-evaluation-harness/templates/new_task.py
imports: from lm_eval.base import Task
label_desc: Use image node_id 13 for calling the NewTask obj's underlying member method code with example usage: obj.higher_is_better() and returns: dict