code: def __init__(
      self, tokenizer, path, max_length=128, fair_compare=True
  ):
      self.tokenizer = tokenizer
      self.path = path
      self.data = []
      self.insts = []
      self.max_length = max_length
      self.fair_compare = fair_compare
      self.load_data()
  
imports: import json, logging, pickle
  from mimetypes import knownfiles
  from unittest.mock import NonCallableMagicMock
  import torch
  from torch.utils.data import Dataset
  from collections import namedtuple
label_desc: Use image node_id 1 to create a new EEDataset object from inherited base classes: Dataset with example: obj = EEDataset(tokenizer, path, max_length, fair_compare)