class_docstr: Loads examples from the Ted Talk translation dataset using the
  `datasets` package.
  
  dataset source: http://www.cs.jhu.edu/~kevinduh/a/multitarget-tedtalks/
code: def _format_as_dict(self, raw_example):
      example = raw_example["translations"]
      translations = np.array(example["translation"])
      languages = np.array(example["language"])
      source = translations[languages == self.source_lang][0]
      target = translations[languages == self.target_lang][0]
      source_dict = collections.OrderedDict([("Source", source)])
      return (source_dict, target)
  
file_path: TextAttack/textattack/datasets/helpers/ted_multi.py
imports: import collections
  import datasets
  import numpy
  from textattack.datasets import HuggingFaceDataset
label_desc: Use image node_id 2 for calling the TedMultiTranslationDataset obj's underlying member method code with example usage: obj._format_as_dict(raw_example) and returns: source_dict,  target