old_contents: """Diplays a simple menu to download datasets."""
  
  import os
  import sys
  import dataset.aida.fetcher
  import dataset.ud.fetcher
  import dataset.conll03.fetcher
  import dataset.wmt.fetcher
  import dataset.wiki.fetcher
  import dataset.rcv1.fetcher
  import dataset.reuters21578.fetcher
  
  options = [
      {
          "name": "Universal Dependencies (Morph, POS Tags)",
          "fetcher": dataset.ud.fetcher.fetch
      },
      {
          "name": "CoNLL03 (NER)",
          "fetcher": dataset.conll03.fetcher.fetch
      },
      {
          "name": "WMT14 (MT)",
          "fetcher": dataset.wmt.fetcher.fetch
      },
      {
          "name": "AIDA (Entity Linking)",
          "fetcher": dataset.aida.fetcher.fetch
      },
      {
          "name": "RCV1 (Multi-label Classification)",
          "fetcher": dataset.rcv1.fetcher.fetch
      },
      {
          "name": "Reuters-21578 (Multi-label Classification)",
          "fetcher": dataset.reuters21578.fetcher.fetch
      },
      {
          "name": "Wiki",
          "fetcher": dataset.wiki.fetcher.fetch
      }
  ]
  
  if __name__ == "__main__":
      if len(sys.argv) < 2:
          print("Usage: main.py DATA_DIR")
          exit(1)
  
      print("Select which dataset you wish to fetch:\n")
      for i, t in enumerate(options):
          print("[{}]: {}".format(i, t["name"]))
  
      num = input("\nSelect number: ")
      if num:
          print()
          data = options[int(num)]
          datasets_dir = os.path.abspath(sys.argv[1])
          data["fetcher"](datasets_dir)
  
new_contents: """Diplays a simple menu to download datasets."""
  
  import os
  import sys
  import anna.dataset.aida.fetcher
  import anna.dataset.ud.fetcher
  import anna.dataset.conll03.fetcher
  import anna.dataset.wmt.fetcher
  import anna.dataset.wiki.fetcher
  import anna.dataset.rcv1.fetcher
  import anna.dataset.reuters21578.fetcher
  
  options = [
      {
          "name": "Universal Dependencies (Morph, POS Tags)",
          "fetcher": anna.dataset.ud.fetcher.fetch
      },
      {
          "name": "CoNLL03 (NER)",
          "fetcher": anna.dataset.conll03.fetcher.fetch
      },
      {
          "name": "WMT14 (MT)",
          "fetcher": anna.dataset.wmt.fetcher.fetch
      },
      {
          "name": "AIDA (Entity Linking)",
          "fetcher": anna.dataset.aida.fetcher.fetch
      },
      {
          "name": "RCV1 (Multi-label Classification)",
          "fetcher": anna.dataset.rcv1.fetcher.fetch
      },
      {
          "name": "Reuters-21578 (Multi-label Classification)",
          "fetcher": anna.dataset.reuters21578.fetcher.fetch
      },
      {
          "name": "Wiki",
          "fetcher": anna.dataset.wiki.fetcher.fetch
      }
  ]
  
  if __name__ == "__main__":
      if len(sys.argv) < 2:
          print("Usage: main.py DATA_DIR")
          exit(1)
  
      print("Select which dataset you wish to fetch:\n")
      for i, t in enumerate(options):
          print("[{}]: {}".format(i, t["name"]))
  
      num = input("\nSelect number: ")
      if num:
          print()
          data = options[int(num)]
          datasets_dir = os.path.abspath(sys.argv[1])
          data["fetcher"](datasets_dir)
  
subject: migrate to 'anna' directory