class_docstr: TED talk data set for comparing high and low resource languages.
class_docstr_tok: ["TED","talk","data","set","for","comparing","high","and","low","resource","languages","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.Translation(
              languages=self.builder_config.language_pair
          ),
          homepage="https://github.com/neulab/word-embeddings-for-nmt",
          supervised_keys=self.builder_config.language_pair,
      )
  
file_path: datasets/tensorflow_datasets/datasets/ted_hrlr_translate/ted_hrlr_translate_dataset_builder.py
imports: import os
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self