code: def __init__(self, dataset_len=300, sequence_len=100):
      self.dataset_len = dataset_len
      self.sequence_len = sequence_len
      self.input_seq = torch.randn(dataset_len, sequence_len, 10)
      top, bottom = self.input_seq.chunk(2, -1)
      self.output_seq = top + bottom.roll(shifts=1, dims=-1)
  
imports: import logging
  import os
  import random
  import time
  import urllib.request
  from typing import Optional, Sequence, Tuple
  import torch
  from torch import Tensor
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 to create a new AverageDataset object from inherited base classes: Dataset with example: obj = AverageDataset(dataset_len, sequence_len)