class_docstr: Tokenize
      
code: def __init__(self, data, tokenizer):
      super().__init__()
      self.data = data
      self.max_sequence_len = 256
      self.tokenizer = tokenizer
  
imports: import logging
  from os.path import join
  import pytorch_lightning
  from pytorch_lightning.loggers import WandbLogger
  from torch.optim import AdamW
  import torch.nn
  import torch
  from torchmetrics import F1
  from torch.utils.data import DataLoader, Dataset
  from transformers import AutoTokenizer, AutoModel
label_desc: Use image node_id 1 to create a new TokenClassificationDataset object from inherited base classes: Dataset with example: obj = TokenClassificationDataset(data, tokenizer)