class_docstr: A corpus of a large number of docs & large vocab
code: def __init__(
      self,
      words_only=False,
      num_terms=200000,
      num_docs=1000000,
      doc_len=100,
  ):
      self.dictionary = gensim.utils.FakeDict(num_terms)
      self.words_only = words_only
      self.num_docs = num_docs
      self.doc_len = doc_len
  
file_path: gensim/gensim/test/test_big.py
imports: import logging
  import unittest
  import os
  import numpy
  import gensim
  from gensim.test.utils import get_tmpfile
label_desc: Use image node_id 1 to create a new BigCorpus object  with example: obj = BigCorpus(words_only, num_terms, num_docs, doc_len)