code: def read_dataset_splits(input_dir):
      """
      Call read_split for train, dev, and test
  
      Returns three sets: train, dev, test in order
      """
      url_splits = [
          read_split(input_dir, section) for section in SPLITS
      ]
      for url_split, split in zip(url_splits, SPLITS):
          print("Split %s has %d files in it" % (split, len(url_split)))
      return url_splits
  
file_path: stanza/stanza/utils/datasets/tokenization/convert_my_alt.py
imports: import os
  import random
  from stanza.models.constituency.tree_reader import read_trees
label_desc: Use image node_id 2 for calling a global function with example usage: read_dataset_splits(input_dir) and returns: url_splits