code: def preprocess_word_tokenize_dataset_split(data):
      tag_values = data.features["tags"].feature.names
      output = []
      for item in data:
          s = []
          tokens = item["tokens"]
          tags = item["tags"]
          for token, tag in zip(tokens, tags):
              s.append([token, tag_values[tag]])
          output.append(s)
      return output
  
label_desc: Use image node_id 1 for calling a global function with example usage: preprocess_word_tokenize_dataset_split(data) and returns: output