code: def get_paccss(input_dir):
      """
      Read the paccss dataset, which is two sentences per line
      """
      input_file = os.path.join(
          input_dir, "PaCCSS/data-set/PACCSS-IT.txt"
      )
      with open(input_file) as fin:
          # the first line is a header line
          lines = fin.readlines()[1:]
      lines = [x.strip() for x in lines]
      lines = [x.split("\t")[:2] for x in lines if x]
      text = [y for x in lines for y in x]
      logger.info("Read %d sentences from %s", len(text), input_file)
      return text
  
file_path: stanza/stanza/utils/datasets/constituency/selftrain_it.py
imports: import argparse
  import logging
  import os
  import random
  import stanza
  from stanza.models.common.foundation_cache import FoundationCache
  from stanza.utils.datasets.constituency import selftrain
  from stanza.utils.get_tqdm import get_tqdm
label_desc: Use image node_id 2 for calling a global function with example usage: get_paccss(input_dir) and returns: text