class_docstr: DatasetBuilder for criteo dataset.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      path = dl_manager.download_and_extract(
          "http://go.criteo.net/criteo-research-uplift-v2.1.csv.gz"
      )
  
      return {
          "train": self._generate_examples(path),
      }
  
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 2 for calling the Criteo obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: dict