old_contents: """
  Datasets list.
  
  All available datasets must be added in this file.
  """
  
  
  #---------------------------------------------------------
  # List of image processing datasets
  #---------------------------------------------------------
  
  from . import coco
  from . import cifar, pascal, mnist, imagenet
  from . import caltech, inria
  from . import flic, leeds_sports_pose, mpii_pose
  from . import ucf
  
  
  human_action = {
      "ucf101": ucf.ucf101.UCF101,
      "ucfsports": ucf.ucfsports.UCFSports
  }
  
  human_pose = {
      "flic": flic.Flic,
      "leeds_sports_pose": leeds_sports_pose.lsp.LSP,
      "leeds_sports_pose_extended": leeds_sports_pose.lsp_extended.LSPe,
      "mpii_pose": mpii_pose.MPIIPose
  }
  
  object_classification = {
      "cifar10": cifar.cifar10.Cifar10,
      "cifar100": cifar.cifar100.Cifar100,
      "ilsvrc2012": imagenet.ilsvrc2012.ILSVRC2012,
      'mnist': mnist.MNIST,
      "pascal_voc_2007": pascal.voc_2007.PascalVOC2007,
      "pascal_voc_2012": pascal.voc_2012.PascalVOC2012,
      "mscoco": coco.COCO
  }
  
  pedestrian_detection = {
      "caltech_pedestrian": caltech.pedestrian.Pedestrian,
      "inria_pedestrian": inria.pedestrian.Pedestrian
  }
  
  
  #---------------------------------------------------------
  # MAIN list
  #---------------------------------------------------------
  
  datasets = {}
  datasets.update(object_classification) # object classification
  datasets.update(human_action) # human action
  datasets.update(pedestrian_detection) # pedestrian detection/recognition
  datasets.update(human_pose) # human pose
  
  # list of all dataset's names
  available_datasets = list(datasets.keys())
new_contents: """
  Datasets list.
  
  All available datasets must be added in this file.
  """
  
  
  #---------------------------------------------------------
  # List of image processing datasets
  #---------------------------------------------------------
  
  from . import coco
  from . import cifar, pascal, mnist, imagenet
  from . import caltech, inria
  from . import flic, leeds_sports_pose, mpii_pose
  from . import ucf
  
  
  human_action = {
      "ucf101": ucf.ucf101.UCF101,
      "ucfsports": ucf.ucfsports.UCFSports
  }
  
  human_pose = {
      "flic": flic.Flic,
      "leeds_sports_pose": leeds_sports_pose.lsp.LSP,
      "leeds_sports_pose_extended": leeds_sports_pose.lsp_extended.LSPe,
      "mpii_pose": mpii_pose.MPIIPose
  }
  
  object_classification = {
      "cifar10": cifar.cifar10.Cifar10,
      "cifar100": cifar.cifar100.Cifar100,
      "ilsvrc2012": imagenet.ilsvrc2012.ILSVRC2012,
      'mnist': mnist.MNIST,
      "pascal_voc_2007": pascal.voc_2007.PascalVOC2007,
      "pascal_voc_2012": pascal.voc_2012.PascalVOC2012,
      "coco": coco.COCO
  }
  
  pedestrian_detection = {
      "caltech_pedestrian": caltech.pedestrian.Pedestrian,
      "inria_pedestrian": inria.pedestrian.Pedestrian
  }
  
  
  #---------------------------------------------------------
  # MAIN list
  #---------------------------------------------------------
  
  datasets = {}
  datasets.update(object_classification) # object classification
  datasets.update(human_action) # human action
  datasets.update(pedestrian_detection) # pedestrian detection/recognition
  datasets.update(human_pose) # human pose
  
  # list of all dataset's names
  available_datasets = list(datasets.keys())
subject: Rename mscoco to coco