code: def __init__(self, data_type, dataset_load):
      self.dataset_load = dataset_load
      self.data = self.load_data(data_type)
  
imports: import torch
  import argparse
  import os
  import logging
  import time
  from torch import nn
  from contextlib import nullcontext
  from datasets import load_dataset
  from torch.utils.data import DataLoader
  from torch.utils.data.distributed import DistributedSampler
  import torch.distributed
  from transformers import BertTokenizer, BertModel, AdamW
label_desc: Use image node_id 1 to create a new Dataset object from inherited base classes: torch.utils.data with example: obj = Dataset(data_type, dataset_load)