code: def generate_big_urls_glove(bigurls=None):
      
      bigurls = bigurls or {}
      for num_dim in (50, 100, 200, 300):
          # not all of these dimensionality, and training set size combinations were trained by Stanford
          for suffixes, num_words in zip(
                                         ('sm -sm _sm -small _small'.split(),
                                          'med -med _med -medium _medium'.split(),
                                          'lg -lg _lg -large _large'.split()),
                                         (6, 42, 840)
                                        ):
              for suf in suffixes[:-1]:
                  name = 'glove' + suf + str(num_dim)
                  dirname = 'glove.{num_words}B'.format(num_words=num_words)
                  # glove.42B.300d.w2v.txt
                  filename = dirname + '.{num_dim}d.w2v.txt'.format(num_dim=num_dim)
                  # seed the alias named URL with the URL for that training set size's canonical name
                  bigurl_tuple = BIG_URLS['glove' + suffixes[-1]]
                  bigurls[name] =  list(bigurl_tuple[:2])
                  bigurls[name].append(os.path.join(dirname, filename))
                  bigurls[name].append(load_glove)
                  bigurls[name] = tuple(bigurls[name])
      return bigurls
docs: Generate a dictionary of URLs for various combinations of GloVe training set sizes and dimensionality