code: def __init__(
      self,
      data,
      tokenizer: AutoTokenizer,
      num_labels,
      max_sequence_len: int = 100,
  ):
      super().__init__()
      self.data = data
      self.tokenizer = tokenizer
      self.max_sequence_len = max_sequence_len
      self.num_labels = num_labels
  
imports: import torch
  import hydra
  import torch.nn
  import pytorch_lightning
  from omegaconf import DictConfig
  from torchmetrics import F1Score
  from torch.utils.data import Dataset, DataLoader
  from transformers import AutoTokenizer, AdamW, RobertaModel, BertPreTrainedModel, RobertaConfig
  from underthesea import word_tokenize
  from underthesea.datasets.uit_absa_hotel.uit_absa_hotel import UITABSAHotel
label_desc: Use image node_id 1 to create a new UITABSADataset object from inherited base classes: Dataset with example: obj = UITABSADataset(data, tokenizer, num_labels, max_sequence_len)