class_docstr: DatasetBuilder for mtnt dataset.
class_docstr_tok: ["DatasetBuilder","for","mtnt","dataset","."]
docstr: Returns the dataset metadata.
docstr_tok: ["Returns","the","dataset","metadata","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      # TODO(mtnt): Specifies the tfds.core.DatasetInfo object
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(
              {
                  # These are the features of your dataset like images, labels ...
                  "src": tfds.features.Text(),
                  "dst": tfds.features.Text(),
              }
          ),
          # If there's a common (input, target) tuple from the
          # features, specify them here. They'll be used if
          # `as_supervised=True` in `builder.as_dataset`.
          supervised_keys=("src", "dst"),  # Set to `None` to disable
          homepage="https://pmichel31415.github.io/mtnt/index.html",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/translate/mtnt/mtnt.py
imports: import csv
  import dataclasses
  import hashlib
  from absl import logging
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Mtnt obj's underlying member method code with example usage: obj._info() and returns: tfds