Moved tbx11k_simplified configs to data

src/ptbench/configs/datasets/tbx11k_simplified/__init__.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
-#
-# SPDX-License-Identifier: GPL-3.0-or-later
-
-
-def _maker(protocol, RGB=False):
-    from torchvision import transforms
-
-    from ....data.tbx11k_simplified import dataset as raw
-    from ....data.transforms import ElasticDeformation
-    from .. import make_dataset as mk
-
-    post_transforms = []
-    if RGB:
-        post_transforms = [
-            transforms.Lambda(lambda x: x.convert("RGB")),
-            transforms.ToTensor(),
-        ]
-
-    return mk(
-        [raw.subsets(protocol)],
-        [],
-        [ElasticDeformation(p=0.8)],
-        post_transforms,
-    )

src/ptbench/data/tbx11k_simplified/__init__.py

@@ -76,15 +76,36 @@ def _loader_bbox(context, sample):
     return make_delayed_bbox(sample, _raw_data_loader_bbox)
 
 
-dataset = JSONDataset(
+json_dataset = JSONDataset(
     protocols=_protocols,
     fieldnames=("data", "label"),
     loader=_loader,
 )
 
-dataset_with_bboxes = JSONDataset(
+json_dataset_with_bboxes = JSONDataset(
     protocols=_protocols,
     fieldnames=("data", "label", "bboxes"),
     loader=_loader_bbox,
 )
 """TBX11K simplified dataset object."""
+
+
+def _maker(protocol, RGB=False):
+    from torchvision import transforms
+
+    from .. import make_dataset
+    from ..transforms import ElasticDeformation
+
+    post_transforms = []
+    if RGB:
+        post_transforms = [
+            transforms.Lambda(lambda x: x.convert("RGB")),
+            transforms.ToTensor(),
+        ]
+
+    return make_dataset(
+        [json_dataset.subsets(protocol)],
+        [],
+        [ElasticDeformation(p=0.8)],
+        post_transforms,
+    )

src/ptbench/configs/datasets/tbx11k_simplified/default.py → src/ptbench/data/tbx11k_simplified/default.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("default")
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class DefaultModule(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("default")
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = DefaultModule

src/ptbench/configs/datasets/tbx11k_simplified/fold_0.py → src/ptbench/data/tbx11k_simplified/fold_0.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_0")
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_0")
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_0_rgb.py → src/ptbench/data/tbx11k_simplified/fold_0_rgb.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_0", RGB=True)
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_0", RGB=True)
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_1.py → src/ptbench/data/tbx11k_simplified/fold_1.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_1")
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_1")
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_1_rgb.py → src/ptbench/data/tbx11k_simplified/fold_1_rgb.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,39 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_1", RGB=True)
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_1", RGB=True)
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_2.py → src/ptbench/data/tbx11k_simplified/fold_2.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_2")
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_2")
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_2_rgb.py → src/ptbench/data/tbx11k_simplified/fold_2_rgb.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_2", RGB=True)
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_2", RGB=True)
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_3.py → src/ptbench/data/tbx11k_simplified/fold_3.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_3")
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_3")
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_3_rgb.py → src/ptbench/data/tbx11k_simplified/fold_3_rgb.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_3", RGB=True)
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_3", RGB=True)
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_4.py → src/ptbench/data/tbx11k_simplified/fold_4.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_4")
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_4")
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_4_rgb.py → src/ptbench/data/tbx11k_simplified/fold_4_rgb.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_4", RGB=True)
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_4", RGB=True)
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_5.py → src/ptbench/data/tbx11k_simplified/fold_5.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_5")
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_5")
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_5_rgb.py → src/ptbench/data/tbx11k_simplified/fold_5_rgb.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_5", RGB=True)
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_5", RGB=True)
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_6.py → src/ptbench/data/tbx11k_simplified/fold_6.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_6")
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_6")
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_6_rgb.py → src/ptbench/data/tbx11k_simplified/fold_6_rgb.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_6", RGB=True)
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_6", RGB=True)
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_7.py → src/ptbench/data/tbx11k_simplified/fold_7.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_7")
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_7")
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_7_rgb.py → src/ptbench/data/tbx11k_simplified/fold_7_rgb.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_7", RGB=True)
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_7", RGB=True)
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module

src/ptbench/configs/datasets/tbx11k_simplified/fold_8.py → src/ptbench/data/tbx11k_simplified/fold_8.py

-# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
@@ -12,6 +12,38 @@
 * See :py:mod:`ptbench.data.tbx11k_simplified` for dataset details
 """
 
+from clapper.logging import setup
+
+from .. import return_subsets
+from ..base_datamodule import BaseDataModule
 from . import _maker
 
-dataset = _maker("fold_8")
+logger = setup(__name__.split(".")[0], format="%(levelname)s: %(message)s")
+
+
+class Fold0Module(BaseDataModule):
+    def __init__(
+        self,
+        train_batch_size=1,
+        predict_batch_size=1,
+        drop_incomplete_batch=False,
+        multiproc_kwargs=None,
+    ):
+        super().__init__(
+            train_batch_size=train_batch_size,
+            predict_batch_size=predict_batch_size,
+            drop_incomplete_batch=drop_incomplete_batch,
+            multiproc_kwargs=multiproc_kwargs,
+        )
+
+    def setup(self, stage: str):
+        self.dataset = _maker("fold_8")
+        (
+            self.train_dataset,
+            self.validation_dataset,
+            self.extra_validation_datasets,
+            self.predict_dataset,
+        ) = return_subsets(self.dataset)
+
+
+datamodule = Fold0Module