code: def __init__(self, images, labels, transforms):
      self.images = images
      self.labels = labels
      self.transform = transforms
  
imports: from __future__ import annotations
  import random
  import unittest
  from functools import wraps
  import numpy
  import torch
  from parameterized import parameterized
  from monai.data import CacheDataset, DataLoader
  from monai.data.utils import decollate_batch, pad_list_data_collate
  from monai.transforms import BatchInverseTransform, Compose, PadListDataCollate, RandRotate, RandRotate90, RandRotate90d, RandRotated, RandSpatialCrop, RandSpatialCropd, RandZoom, RandZoomd, ToTensor
  from monai.utils import set_determinism
label_desc: Use image node_id 1 to create a new _Dataset object from inherited base classes: torch.utils.data with example: obj = _Dataset(images, labels, transforms)