code: def __init__(self, filename=None, **kwargs):
      super().__init__(filename=(filename or DATA_PATH), **kwargs)
  
file_path: finetune/finetune/datasets/stanford_sentiment_treebank_with_unsupervised_fit.py
imports: import os
  import logging
  from pathlib import Path
  import numpy
  from sklearn.model_selection import train_test_split
  from finetune import Classifier
  from finetune.datasets import Dataset, generic_download
label_desc: Use image node_id 1 to create a new StanfordSentimentTreebank object from inherited base classes: Dataset with example: obj = StanfordSentimentTreebank(filename)