text: def nb_dims(dataset):
      if dataset in ["unipen1a", "unipen1b", "unipen1c"]:
          return 2
      return 1
  
  def nb_classes(dataset):
      if dataset=='MFPT':
          return 15
      if dataset == 'XJTU':
          return 15
      if dataset == "CricketX":
          return 12 #300
      if dataset == "UWaveGestureLibraryAll":
          return 8 # 945
      if dataset == "DodgerLoopDay":
          return 7
      if dataset == "InsectWingbeatSound":
          return 11
  