class_docstr: DatasetBuilder for criteo 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,
          features=tfds.features.FeaturesDict(
              {
                  "f0": np.float32,
                  "f1": np.float32,
                  "f2": np.float32,
                  "f3": np.float32,
                  "f4": np.float32,
                  "f5": np.float32,
                  "f6": np.float32,
                  "f7": np.float32,
                  "f8": np.float32,
                  "f9": np.float32,
                  "f10": np.float32,
                  "f11": np.float32,
                  "treatment": np.int64,
                  "conversion": np.bool_,
                  "visit": np.bool_,
                  "exposure": np.bool_,
              }
          ),
          # 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=(
              {
                  "f0": "f0",
                  "f1": "f1",
                  "f2": "f2",
                  "f3": "f3",
                  "f4": "f4",
                  "f5": "f5",
                  "f6": "f6",
                  "f7": "f7",
                  "f8": "f8",
                  "f9": "f9",
                  "f10": "f10",
                  "f11": "f11",
                  "treatment": "treatment",
                  "exposure": "exposure",
              },
              "visit",
          ),
          homepage="https://ailab.criteo.com/criteo-uplift-prediction-dataset/",
          citation=_CITATION,
      )
  
file_path: datasets/tensorflow_datasets/recommendation/criteo/criteo.py
imports: from __future__ import annotations
  import csv
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling the Criteo obj's underlying member method code with example usage: obj._info() and returns: tfds