code: def load_articles(self):
      print("Start: Loading Articles")
  
      global_article_count = 0
      for input_file in self.input_files:
          print("input file:", input_file)
          with open(input_file, mode="r", newline="\n") as f:
              for i, line in enumerate(f):
                  if line.strip():
                      self.articles[
                          global_article_count
                      ] = line.rstrip()
                      global_article_count += 1
  
      print(
          "End: Loading Articles: There are",
          len(self.articles),
          "articles.",
      )
  
file_path: gluon-nlp/scripts/processing/segment_sentences.py
imports: import statistics
  import nltk
  import multiprocessing
  from collections import defaultdict
  from itertools import islice
  import time
  import os
label_desc: Use image node_id 2 for calling the Sharding obj's underlying member method code with example usage: obj.load_articles() without return types