class_docstr: DatasetBuilder for yahoo_ltrc dataset.
docstr: Returns the dataset metadata.
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      encoding = tfds.features.Encoding.ZLIB
      features = {
          "float_features": tfds.features.Tensor(
              shape=(None, self.builder_config.num_features),
              dtype=np.float64,
              encoding=encoding,
          ),
          _LABEL_NAME: tfds.features.Tensor(
              shape=(None,), dtype=np.float64, encoding=encoding
          ),
          "query_id": tfds.features.Text(),
          "doc_id": tfds.features.Tensor(
              shape=(None,), dtype=np.int64, encoding=encoding
          ),
      }
  
      return tfds.core.DatasetInfo(
          builder=self,
          description=_DESCRIPTION,
          features=tfds.features.FeaturesDict(features),
          homepage="https://research.yahoo.com/datasets",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/ranking/yahoo_ltrc/yahoo_ltrc.py
imports: import dataclasses
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
  from tensorflow_datasets.ranking.libsvm_ranking_parser import LibSVMRankingParser
label_desc: Use image node_id 1 for calling the YahooLTRC obj's underlying member method code with example usage: obj._info() and returns: tfds