class_docstr: BuilderConfig for GovReportConfig.
code: def __init__(
      self,
      subset: str = "",
      style: str = "",
      supervised_keys: Tuple[str, str] = ("", ""),
      other_keys: Iterable[str] = (),
      description: str = "",
      **kwargs,
  ):
      super().__init__(
          name=f"{subset}_{style}",
          description=f"{description}\n{_STYLE_DESCRIPTIONS[style]}",
          **kwargs,
      )
      self.subset = subset
  
      self.supervised_keys = supervised_keys
      self.other_keys = tuple(other_keys) + (_ID_KEY,)
      self.all_keys = supervised_keys + self.other_keys
  
      self.style = style
      self.separator = " " if style == "whitepsace" else "\n"
  
file_path: datasets/tensorflow_datasets/summarization/gov_report/gov_report.py
imports: import itertools
  import json
  import os
  from typing import Any, Dict, Iterable, Tuple
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 to create a new GovReportConfig object from inherited base classes: tfds.core with example: obj = GovReportConfig(subset, style, supervised_keys, other_keys, description)