code: def combine_columns(in_directory, dataset, nlp):
      directory = os.path.join(in_directory, dataset)
  
      sentiment_file = os.path.join(directory, "sentiments.txt")
      with open(sentiment_file) as fin:
          sentiment = fin.readlines()
  
      text_file = os.path.join(directory, "sents.txt")
      with open(text_file) as fin:
          text = fin.readlines()
  
      text = [
          [
              token.text
              for sentence in nlp(line.strip()).sentences
              for token in sentence.tokens
          ]
          for line in tqdm(text)
      ]
  
      phrases = [
          SentimentDatum(s.strip(), t) for s, t in zip(sentiment, text)
      ]
      return phrases
  
file_path: stanza/stanza/utils/datasets/sentiment/process_vsfc_vietnamese.py
imports: import os
  import sys
  from tqdm import tqdm
  import stanza
  from stanza.models.classifiers.data import SentimentDatum
  import stanza.utils.datasets.sentiment.process_utils
  import stanza.utils.default_paths
label_desc: Use image node_id 1 for calling a global function with example usage: combine_columns(in_directory, dataset, nlp) and returns: phrases