code: def __init__(self, file_path, seq_len):
      with open(file_path, "rb") as f:
          self.examples = pickle.load(f)
  
      self.seq_len = seq_len
      logging.info(f"Loaded {file_path}... size={len(self.examples)}")
  
file_path: xformers/xformers/benchmarks/LRA/code/dataset.py
imports: import logging
  import pickle
  import torch
  from torch.utils.data.dataset import Dataset
label_desc: Use image node_id 1 to create a new LRADataset object from inherited base classes: Dataset with example: obj = LRADataset(file_path, seq_len)