class_docstr: DatasetBuilder for unnatural_instructions dataset.
docstr: Returns the dataset metadata.
docstr_tok: ["Returns","the","dataset","metadata","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          # Per author's recommendation, we discard the ans_simple field.
          features=tfds.features.FeaturesDict(
              {
                  "id": tfds.features.Text(
                      doc="Unique identifier for example."
                  ),
                  "instruction": tfds.features.Text(
                      doc="Instruction with placeholder for inputs."
                  ),
                  "instances": tfds.features.Sequence(
                      {
                          "input": tfds.features.Text(
                              doc=(
                                  "Input to be fed into placeholders for given"
                                  " instruction."
                              )
                          ),
                          "constraints": tfds.features.Text(
                              doc="Task-specific constraints."
                          ),
                          "instruction_with_input": tfds.features.Text(
                              doc="Instructions with inputs supplied to placeholders."
                          ),
                          "output": tfds.features.Text(
                              doc="Target output for given task."
                          ),
                      }
                  ),
                  "reformulations": tfds.features.Sequence(
                      {
                          "input": tfds.features.Text(
                              doc=(
                                  "Input to be fed into placeholders for given"
                                  " instruction."
                              )
                          ),
                          "instruction": tfds.features.Text(
                              doc="Instruction with placeholder for inputs."
                          ),
                          "instruction_with_input": tfds.features.Text(
                              doc="Instructions with inputs supplied to placeholders."
                          ),
                          "output": tfds.features.Text(
                              doc="Target output for given task."
                          ),
                      }
                  ),
              }
          ),
          homepage="https://github.com/orhonovich/unnatural-instructions",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/text/unnatural_instructions/unnatural_instructions.py
imports: from __future__ import annotations
  import json
  from typing import Generator, Any, Tuple, Mapping
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the UnnaturalInstructions obj's underlying member method code with example usage: obj._info() and returns: tfds