code: def download_corpora(filepaths):
      if not isinstance(filepaths, list):
          filepaths = [filepaths]
  
      for filepath in filepaths:
          if not os.path.exists(filepath):
              print(
                  filepath,
                  "does not exists. Try to download from server",
              )
              filename = os.path.basename(filepath)
              url = "https://sbert.net/datasets/" + filename
              sentence_transformers.util.http_get(url, filepath)
  
file_path: sentence-transformers/examples/training/multilingual/make_multilingual.py
imports: from sentence_transformers import SentenceTransformer, LoggingHandler, models, evaluation, losses
  from torch.utils.data import DataLoader
  from sentence_transformers.datasets import ParallelSentencesDataset
  from datetime import datetime
  import os
  import logging
  import sentence_transformers.util
  import csv
  import gzip
  from tqdm.autonotebook import tqdm
  import numpy
  import zipfile
  import io
label_desc: Use image node_id 1 for calling a global function with example usage: download_corpora(filepaths) without return types