class_docstr: Defines a dataset composed of Examples along with its Fields.
  
  Attributes:
      sort_key (callable): A key to use for sorting dataset examples for batching
          together examples with similar lengths to minimize padding.
      examples (list(Example)): The examples in this dataset.
          fields: A dictionary containing the name of each column together with
          its corresponding Field object. Two columns with the same Field
          object will share a vocabulary.
      fields (dict[str, Field]): Contains the name of each column or field, together
          with the corresponding Field object. Two fields with the same Field object
          will have a shared vocabulary.
class_docstr_tok: ["Defines","a","dataset","composed","of","Examples","along","with","its","Fields",".","Attributes",":","sort_key","(","callable",")",":","A","key","to","use","for","sorting","dataset","examples","for","batching","together","examples","with","similar","lengths","to","minimize","padding",".","examples","(","list","(","Example",")",")",":","The","examples","in","this","dataset",".","fields",":","A","dictionary","containing","the","name","of","each","column","together","with","its","corresponding","Field","object",".","Two","columns","with","the","same","Field","object","will","share","a","vocabulary",".","fields","(","dict","[","str",",","Field","]",")",":","Contains","the","name","of","each","column","or","field",",","together","with","the","corresponding","Field","object",".","Two","fields","with","the","same","Field","object","will","have","a","shared","vocabulary","."]
code: def __len__(self):
      try:
          return len(self.examples)
      except TypeError:
          return 2**32
  
file_path: decanlp/text/torchtext/data/dataset.py
imports: import io
  import os
  import zipfile
  import tarfile
  import torch.utils.data
  from .example import Example
  from ..utils import download_from_url
label_desc: Use image node_id 4 for calling the Dataset obj's underlying member method code with example usage: obj.__len__() and returns: len, unknown