code: def get_eval_data(eval_path, src_lang, tgt_lang):
      """
      Downloads evaluation cross lingual dictionaries to the eval_path
      Arguments:
          eval_path: Path where cross-lingual dictionaries are downloaded
          src_lang : Source Language
          tgt_lang : Target Language
      Returns:
          Path to where cross lingual dictionaries are downloaded
      """
      eval_url = "https://s3.amazonaws.com/arrival/dictionaries/"
      link = "https://github.com/facebookresearch/MUSE#ground-truth-bilingual-dictionaries"
      src_path = os.path.join(
          eval_path, "%s-%s.5000-6500.txt" % (src_lang, tgt_lang)
      )
      filename = src_lang + "-" + tgt_lang + ".5000-6500.txt"
      if not os.path.exists(src_path):
          if license_prompt(src_path, link, src_path):
              os.system("mkdir -p " + eval_path)
              print(
                  "Downloading cross-lingual dictionaries for "
                  + src_lang
              )
              urllib.request.urlretrieve(eval_url + filename, src_path)
              print("Completed downloading to " + eval_path)
          else:
              exit()
      return src_path
  
file_path: nlp-architect/nlp_architect/data/fasttext_emb.py
imports: import os
  from six.moves import urllib
  import numpy
  from nlp_architect.utils.generic import license_prompt
label_desc: Use image node_id 1 for calling a global function with example usage: get_eval_data(eval_path, src_lang, tgt_lang) and returns: src_path