class_docstr: Data Processor for MS Marco dialogues. (https://github.com/microsoft/MSMARCO-Question-Answering)
  Please agree to the Terms of Use before downloading data at 
  https://msmarco.blob.core.windows.net/msmarco/train_v2.1.json.gz
  https://msmarco.blob.core.windows.net/msmarco/dev_v2.1.json.gz
class_docstr_tok: ["Data","Processor","for","MS","Marco","dialogues",".","(","https",":","\/\/github.com\/microsoft\/MSMARCO-Question-Answering",")","Please","agree","to","the","Terms","of","Use","before","downloading","data","at","https",":","\/\/msmarco.blob.core.windows.net\/msmarco\/train_v2.1.json.gz","https",":","\/\/msmarco.blob.core.windows.net\/msmarco\/dev_v2.1.json.gz"]
docstr: Gets a collection of `InputExample`s for the train set.
docstr_tok: ["Gets","a","collection","of","`","InputExample","`","s","for","the","train","set","."]
code: def get_train_examples(self):
      """Gets a collection of `InputExample`s for the train set."""
      return self.get_dialog_examples("train")
  
file_path: NeMo/nemo/collections/nlp/data/dialogue/data_processor/ms_marco_data_processor.py
imports: import json
  import os
  from ast import literal_eval
  from nemo.collections.nlp.data.dialogue.data_processor.data_processor import DialogueDataProcessor
  from nemo.collections.nlp.data.dialogue.input_example.input_example import DialogueInputExample
label_desc: Use image node_id 4 for calling the DialogueMSMarcoDataProcessor obj's underlying member method code with example usage: obj.get_train_examples() and returns: self