code: def up(db, dataset_name):
      match_d = {"name": dataset_name}
      dataset_dict = db.datasets.find_one(match_d)
  
      if "classes" not in dataset_dict:
          dataset_dict["classes"] = {}
  
      if "default_classes" not in dataset_dict:
          dataset_dict["default_classes"] = []
  
      if "mask_targets" not in dataset_dict:
          dataset_dict["mask_targets"] = {}
  
      if "default_mask_targets" not in dataset_dict:
          dataset_dict["default_mask_targets"] = {}
  
      evaluations = dataset_dict.get("evaluations", {})
      for run_doc in evaluations.values():
          if "results" not in run_doc:
              run_doc["results"] = None
  
      brain_methods = dataset_dict.get("brain_methods", {})
      for run_doc in brain_methods.values():
          if "results" not in run_doc:
              run_doc["results"] = None
  
      db.datasets.replace_one(match_d, dataset_dict)
  
label_desc: Use image node_id 1 for calling a global function with example usage: up(db, dataset_name) without return types