code: def __init__(self, review, target, tokenizer, max_len):
      self.review = review
      self.target = target
      self.tokenizer = tokenizer
      self.max_len = max_len
  
file_path: tez/examples/nlp/imdb_sentiment_classification.py
imports: import pandas
  import torch
  import torch.nn
  from sklearn import metrics, model_selection
  from transformers import AutoConfig, AutoModel, AutoTokenizer, get_linear_schedule_with_warmup
  from tez import Tez, TezConfig
  from tez.callbacks import EarlyStopping
label_desc: Use image node_id 1 to create a new IMDBDataset object  with example: obj = IMDBDataset(review, target, tokenizer, max_len)