code: def __init__(
      self,
      label_type="similarity",
      base_path: Optional[Union[str, Path]] = None,
      max_tokens_per_doc=-1,
      max_chars_per_doc=-1,
      use_tokenizer=True,
      in_memory: bool = True,
      sample_missing_splits: bool = True,
  ) -> None:
      base_path = (
          flair.cache_root / "datasets"
          if not base_path
          else Path(base_path)
      )
  
      dataset_name = "glue"
  
      data_folder = base_path / dataset_name
  
      data_file = data_folder / "STS-B" / "train.tsv"
  
      # if data is not downloaded yet, download it
      if not data_file.is_file():
          # get the zip file
          zipped_data_path = cached_path(
              "https://dl.fbaipublicfiles.com/glue/data/STS-B.zip",
              Path("datasets") / dataset_name,
          )
  
          unpack_file(
              zipped_data_path, data_folder, mode="zip", keep=False
          )
  
          # rename test file to eval_dataset, since it has no labels
          os.rename(
              str(data_folder / data_folder / "STS-B" / "test.tsv"),
              str(
                  data_folder
                  / data_folder
                  / "STS-B"
                  / "eval_dataset.tsv"
              ),
          )
  
      super().__init__(
          data_folder / "STS-B",
          label_type=label_type,
          columns=[7, 8, 9],
          skip_first_line=True,
          use_tokenizer=use_tokenizer,
          max_tokens_per_doc=max_tokens_per_doc,
          max_chars_per_doc=max_chars_per_doc,
          in_memory=in_memory,
          sample_missing_splits=sample_missing_splits,
      )
  
      self.eval_dataset = DataPairDataset(
          data_folder / "STS-B" / "eval_dataset.tsv",
          label_type=label_type,
          columns=[7, 8, 9],
          use_tokenizer=use_tokenizer,
          max_tokens_per_doc=max_tokens_per_doc,
          max_chars_per_doc=max_chars_per_doc,
          in_memory=in_memory,
          skip_first_line=True,
          label=False,
      )
  
imports: import logging
  import os
  from pathlib import Path
  from typing import List, Optional, Union
  import flair
  from flair.data import Corpus, DataPair, FlairDataset, Sentence, TextPair, _iter_dataset
  from flair.datasets.base import find_train_dev_test_files
  from flair.file_utils import cached_path, unpack_file, unzip_file
label_desc: Use image node_id 1 to create a new GLUE_STSB object from inherited base classes: DataPairCorpus with example: obj = GLUE_STSB(label_type, base_path, max_tokens_per_doc, max_chars_per_doc, use_tokenizer, in_memory, sample_missing_splits)