class_docstr: DatasetBuilder for simPTE dataset.
docstr: Returns the dataset metadata.
docstr_tok: ["Returns","the","dataset","metadata","."]
code: def _info(self) -> tfds.core.DatasetInfo:
      """Returns the dataset metadata."""
      return self.dataset_info_from_configs(
          features=tfds.features.FeaturesDict(
              {
                  "y": np.int32,
                  "treat": np.int32,
                  "X1": np.float32,
                  "X2": np.float32,
                  "X3": np.float32,
                  "X4": np.float32,
                  "X5": np.float32,
                  "X6": np.float32,
                  "X7": np.float32,
                  "X8": np.float32,
                  "X9": np.float32,
                  "X10": np.float32,
                  "X11": np.float32,
                  "X12": np.float32,
                  "X13": np.float32,
                  "X14": np.float32,
                  "X15": np.float32,
                  "X16": np.float32,
                  "X17": np.float32,
                  "X18": np.float32,
                  "X19": np.float32,
                  "X20": np.float32,
              }
          ),
          # 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=(
              {
                  "X1": "X1",
                  "X2": "X2",
                  "X3": "X3",
                  "X4": "X4",
                  "X5": "X5",
                  "X6": "X6",
                  "X7": "X7",
                  "X8": "X8",
                  "X9": "X9",
                  "X10": "X10",
                  "X11": "X11",
                  "X12": "X12",
                  "X13": "X13",
                  "X14": "X14",
                  "X15": "X15",
                  "X16": "X16",
                  "X17": "X17",
                  "X18": "X18",
                  "X19": "X19",
                  "X20": "X20",
                  "treat": "treat",
              },
              "y",
          ),
          homepage="https://rdrr.io/cran/uplift/man/sim_pte.html",
      )
  
file_path: datasets/tensorflow_datasets/datasets/simpte/simpte_dataset_builder.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 Builder obj's underlying member method code with example usage: obj._info() and returns: self