class_docstr: An interface for a phase that produces datasets.
class_docstr_tok: ["An","interface","for","a","phase","that","produces","datasets","."]
docstr: Returns the dataset for train data.
docstr_tok: ["Returns","the","dataset","for","train","data","."]
code: def get_train_dataset(self) -> tf.data.Dataset:
      """Returns the dataset for train data."""
      pass
  
imports: import abc
  from typing import Iterable, Iterator, Optional
  from adanet.experimental.storages.in_memory_storage import InMemoryStorage
  from adanet.experimental.storages.storage import Storage
  from adanet.experimental.work_units.work_unit import WorkUnit
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling the DatasetProvider obj's underlying member method code with example usage: obj.get_train_dataset() without return types