class_docstr: MR in the restaurant domain and target utterances describing it.
class_docstr_tok: ["MR","in","the","restaurant","domain","and","target","utterances","describing","it","."]
code: def _info(self):
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "input_text": {
                      "table": tfds.features.Sequence(
                          {
                              "column_header": np.str_,
                              "row_number": np.int16,
                              "content": np.str_,
                          }
                      )
                  },
                  "target_text": np.str_,
              }
          ),
          # 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=("input_text", "target_text"),
          # Homepage of the dataset for documentation
          homepage=_HOMEPAGE_URL,
      )
  
file_path: datasets/tensorflow_datasets/datasets/e2e_cleaned/e2e_cleaned_dataset_builder.py
imports: from __future__ import annotations
  import csv
  from etils import epath
  import numpy
  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