class_docstr: DmlCorpus implements a collection of articles. It is initialized via a DmlConfig
  object, which holds information about where to look for the articles and how
  to process them.
  
  Apart from being a regular corpus (bag-of-words iterable with a `len()` method),
  DmlCorpus has methods for building a dictionary (mapping between words and
  their ids).
code: def __init__(self):
      self.documents = []
      self.config = None
      self.dictionary = dictionary.Dictionary()
  
imports: import logging
  import os.path
  from gensim import interfaces, matutils
  import dictionary
label_desc: Use image node_id 1 to create a new DmlCorpus object from inherited base classes: interfaces with example: obj = DmlCorpus()