code: def sieve_train(data_dict, train_dict):
      """tag samples other than training or testing data"""
  
      for key in data_dict.keys():
          if (
              data_dict[key]["split"] == "train"
              and key.split("-")[0] in train_dict
          ):
              continue
          elif data_dict[key]["split"] in ["devman", "devsge"]:
              continue
          else:
              data_dict[key]["split"] = "other"
  
imports: import argparse
  import collections
  import itertools
  import os
  import random
  import re
  import sys
label_desc: Use image node_id 16 for calling a global function with example usage: sieve_train(data_dict, train_dict) without return types