code: def _feature_dict():
      return collections.OrderedDict(
          [
              (
                  "pclass",
                  (
                      tfds.features.ClassLabel(
                          names=_PCLASS_DICT.values()
                      ),
                      lambda d: convert_to_label(d, _PCLASS_DICT),
                  ),
              ),
              (
                  "survived",
                  (
                      tfds.features.ClassLabel(
                          names=_SURVIVED_DICT.values()
                      ),
                      lambda d: convert_to_label(d, _SURVIVED_DICT),
                  ),
              ),
              ("name", (tf.string, convert_to_string)),
              (
                  "sex",
                  (
                      tfds.features.ClassLabel(
                          names=["male", "female"]
                      ),
                      return_same,
                  ),
              ),
              ("age", (tf.float32, convert_to_float)),
              ("sibsp", (tf.int32, convert_to_int)),
              ("parch", (tf.int32, convert_to_int)),
              ("ticket", (tf.string, convert_to_string)),
              ("fare", (tf.float32, convert_to_float)),
              ("cabin", (tf.string, convert_to_string)),
              (
                  "embarked",
                  (
                      tfds.features.ClassLabel(
                          names=_EMBARKED_DICT.values()
                      ),
                      lambda d: convert_to_label(d, _EMBARKED_DICT),
                  ),
              ),
              ("boat", (tf.string, convert_to_string)),
              ("body", (tf.int32, convert_to_int)),
              ("home.dest", (tf.string, convert_to_string)),
          ]
      )
  
file_path: datasets/tensorflow_datasets/datasets/titanic/titanic_dataset_builder.py
imports: import collections
  import csv
  from etils import epath
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 6 for calling a global function with example usage: _feature_dict() and returns: collections