code: def __init__(self, dataset):
      args = get_args()
      self.base_seed = args.seed
      self.curr_seed = args.seed
      self.dataset = dataset
  
imports: import random
  import torch
  import numpy
  from torch.utils.data import Dataset
  from megatron import get_args
  from megatron.core import mpu
label_desc: Use image node_id 1 to create a new RandomSeedDataset object from inherited base classes: Dataset with example: obj = RandomSeedDataset(dataset)