code: def split_sentences(sentences):
      train = []
      dev = []
      test = []
  
      for sentence in sentences:
          rand = random.random()
          if rand < 0.8:
              train.append(sentence)
          elif rand < 0.9:
              dev.append(sentence)
          else:
              test.append(sentence)
  
      return train, dev, test
  
file_path: stanza/stanza/utils/datasets/tokenization/convert_ml_cochin.py
imports: from difflib import SequenceMatcher
  import os
  import random
  import sys
  import stanza.utils.default_paths
label_desc: Use image node_id 6 for calling a global function with example usage: split_sentences(sentences) and returns: train,  dev,  test