code: def __init__(self, data_dir, filename, text_col, label_col):
      super().__init__()
      self.text_col = text_col
      self.label_col = label_col
  
      self.data = pd.read_csv(os.path.join(data_dir, filename))
  
imports: import pandas
  import os
  import torch
  from pathlib import Path
  import pickle
  import logging
  import shutil
  from torch.utils.data import Dataset, TensorDataset, DataLoader, RandomSampler, SequentialSampler
  from torch.utils.data.distributed import DistributedSampler
  from transformers import AutoTokenizer
label_desc: Use image node_id 1 to create a new LRFinderDataset object from inherited base classes: Dataset with example: obj = LRFinderDataset(data_dir, filename, text_col, label_col)