code: def read_sentences(fin):
      """
      Read ids and text from the given file
      """
      lines = []
      for line_idx, line in enumerate(fin):
          line = line.decode("utf-8")
          pieces = line.split(maxsplit=1)
          if len(pieces) < 2:
              continue
          lines.append(pieces)
      return lines
  
file_path: stanza/stanza/utils/datasets/sentiment/process_es_tass2020.py
imports: import os
  import zipfile
  import stanza
  from stanza.models.classifiers.data import SentimentDatum
  import stanza.utils.default_paths
  from stanza.utils.datasets.sentiment.process_utils import write_dataset, write_list
label_desc: Use image node_id 4 for calling a global function with example usage: read_sentences(fin) and returns: lines