Add a read_only option to seqio.TfdsDataSource.

seqio/dataset_providers.py

@@ -495,6 +495,7 @@ def __init__(
       caching_permitted: bool = True,
       decoders: Optional[tfds.typing.TreeDict[tfds.decode.Decoder]] = None,
       tfds_builder_kwargs: Optional[dict[str, Any]] = None,
+      read_only: bool = False,
   ):
     """TfdsTask constructor.
 
@@ -519,6 +520,7 @@ def __init__(
       tfds_builder_kwargs: `dict` (optional), keyword arguments to be passed to
         the `tfds.core.DatasetBuilder` constructor through `tfds.load()` and
         `tfds.builder()`.
+      read_only: whether `get_dataset` can trigger the generation of a dataset.
     """
     if splits and not isinstance(splits, dict):
       splits = {k: k for k in splits}
@@ -529,6 +531,7 @@ def __init__(
         split_map=splits if isinstance(splits, dict) else None,
         decoders=decoders,
         builder_kwargs=tfds_builder_kwargs,
+        read_only=read_only,
     )
 
     # If splits are not provided, we pass an empty tuple and use the lazy

seqio/utils.py

@@ -137,6 +137,7 @@ def __init__(
       split_map: Union[Mapping[str, str], Mapping[str, TfdsSplit], None] = None,
       decoders=None,
       builder_kwargs: Optional[dict[str, Any]] = None,
+      read_only: bool = False,
   ):
     """LazyTfdsLoader constructor.
 
@@ -153,6 +154,7 @@ def __init__(
       builder_kwargs: `dict` (optional), keyword arguments to be passed to the
         `tfds.core.DatasetBuilder` constructor through `tfds.load()` and
         `tfds.builder()`.
+      read_only: whether `get_dataset` can trigger the generation of a dataset.
     """
     _validate_tfds_name(name)
     self._name = name
@@ -161,6 +163,7 @@ def __init__(
     self._split_map = split_map
     self._decoders = decoders
     self._builder_kwargs = builder_kwargs
+    self._read_only = read_only
 
     self._is_custom_split_map = False
     if split_map:
@@ -389,17 +392,25 @@ def load(
     )
     read_config.shuffle_seed = seed
     read_config.skip_prefetch = True
-    return tfds.load(
-        dataset,
-        split=dataset_split,
-        data_dir=data_dir,
-        shuffle_files=shuffle_files,
-        download=True,
-        try_gcs=True,
-        read_config=read_config,
-        decoders=self._decoders,
-        builder_kwargs=self._builder_kwargs,
-    )
+    if self._read_only:
+      return self.builder.as_dataset(
+          split=dataset_split,
+          shuffle_files=shuffle_files,
+          read_config=read_config,
+          decoders=self._decoders,
+      )
+    else:
+      return tfds.load(
+          dataset,
+          split=dataset_split,
+          data_dir=data_dir,
+          shuffle_files=shuffle_files,
+          download=True,
+          try_gcs=True,
+          read_config=read_config,
+          decoders=self._decoders,
+          builder_kwargs=self._builder_kwargs,
+      )
 
   def load_shard(
       self,

seqio/utils_test.py

@@ -145,6 +145,23 @@ def test_builder_cls_non_existing(self):
     actual = ds.builder_cls()
     self.assertIsNone(actual)
 
+  @mock.patch("tensorflow_datasets.load")
+  @mock.patch("tensorflow_datasets.builder")
+  def test_read_only(self, mock_tfds_builder, mock_tfds_load):
+    mock_builder = mock.create_autospec(tfds.core.DatasetBuilder)
+    mock_tfds_builder.return_value = mock_builder
+    loader = utils.LazyTfdsLoader(
+        "ds/cfg:1.2.3", data_dir="/data", read_only=True
+    )
+    _ = loader.load(split="train", shuffle_files=False)
+    mock_tfds_load.assert_not_called()
+    mock_builder.as_dataset.assert_called_once_with(
+        split="train",
+        shuffle_files=False,
+        read_config=AnyArg(),
+        decoders=None,
+    )
+
   @mock.patch("tensorflow_datasets.load")
   def test_split_map(self, mock_tfds_load):
     seed = 0