class_docstr: DatasetBuilder for wit dataset.
docstr: Returns SplitGenerators.
code: def _split_generators(
      self, dl_manager: tfds.download.DownloadManager
  ):
      """Returns SplitGenerators."""
      wit_homepage = "https://storage.googleapis.com/gresearch/wit/"
      wit_train_urls_to_download = [
          os.path.join(
              wit_homepage, f"wit_v1.train.all-0000{i}-of-00010.tsv.gz"
          )
          for i in range(10)
      ]
      wit_val_urls_to_download = [
          os.path.join(
              wit_homepage, f"wit_v1.val.all-0000{i}-of-00005.tsv.gz"
          )
          for i in range(5)
      ]
      wit_test_urls_to_download = [
          os.path.join(
              wit_homepage, f"wit_v1.test.all-0000{i}-of-00005.tsv.gz"
          )
          for i in range(5)
      ]
  
      paths_per_split = dl_manager.download_and_extract(
          {
              "train": wit_train_urls_to_download,
              "val": wit_val_urls_to_download,
              "test": wit_test_urls_to_download,
          }
      )
  
      return {
          "train": self._generate_examples(paths_per_split["train"]),
          "val": self._generate_examples(paths_per_split["val"]),
          "test": self._generate_examples(paths_per_split["test"]),
      }
  
file_path: datasets/tensorflow_datasets/vision_language/wit/wit.py
imports: from __future__ import annotations
  import csv
  import os
  import sys
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Wit obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: dict