class_docstr: BuilderConfig for XTREME-S.
class_docstr_tok: ["BuilderConfig","for","XTREME-S","."]
code: def __init__(
      self,
      name,
      dataset_name,
      lang_name,
      description,
      citation,
      homepage,
      data_urls,
  ):
      super().__init__(
          name=name,
          version=tfds.core.Version("2.0.0"),
          release_notes={
              "2.0.0": (
                  "Initial release on TFDS, FLEURS-only. Named to match version"
                  " 2.0.0 on huggingface which has the same FLEURS data ("
                  " https://huggingface.co/datasets/google/xtreme_s)."
              )
          },
          description=self.description,
      )
      self.name = name
      self.dataset_name = dataset_name
      self.lang_name = lang_name
      self.description = description
      self.citation = citation
      self.homepage = homepage
      self.data_urls = data_urls
  
file_path: datasets/tensorflow_datasets/audio/xtreme_s/xtreme_s.py
imports: import collections
  import os
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 to create a new XtremeSConfig object from inherited base classes: tfds.core with example: obj = XtremeSConfig(name, dataset_name, lang_name, description, citation, homepage, data_urls)