diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/default.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/default.py
index 6aa1b81b16f4049b3998f434ee084eef2d11704b..b18326d9d61dfbb9898bc5c27a5acb7b7b182063 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/default.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/default.py
@@ -2,7 +2,8 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (default protocol) (extended with
+DensenetRS predictions)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_0.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_0.py
index 10c7f549de385770c6585612ebd2b2bafb9310ee..90fc01324ebb5ee500cb511c6a2f4eef6fd79a1a 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_0.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_0.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (cross validation fold 0)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_1.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_1.py
index ec8d22e871a1678553d37392a6cd4193d084130d..3c76739126d646cb55bce31ababe5edf5c20def0 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_1.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_1.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (cross validation fold 1)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_2.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_2.py
index 77493339ddc90f708f0dbc7de00dbb88f3bd9ccf..1168b8acebefc27832a9cd20d3e2cab15d30ca75 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_2.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_2.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (cross validation fold 2)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_3.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_3.py
index 4906ed7bf1310f3333bd64899c5645554238e3d9..7388e88fd7ee3ba969d2a46e27a3ce32076f1647 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_3.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_3.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (cross validation fold 3)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_4.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_4.py
index 5179e359319e9face3b4e8b32eb8d5a86eb619b0..2da0d69a4c1c25e1a40b1e638b06e16068d68688 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_4.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_4.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (cross validation fold 4)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_5.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_5.py
index 4ec01f68557b0cd016f9f6f5780c1fbb8db86a7b..c50320b5b6628a29476b683e7c143071028281cf 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_5.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_5.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (cross validation fold 5)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_6.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_6.py
index f88776c9d0fb877e48cb555984bd2724a68af3ac..8d3a1cea5a0507361f72cd4361408027444e5848 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_6.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_6.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (cross validation fold 6)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_7.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_7.py
index 756dc9c877ec3f14950b5406c7ecaa7036b8d9c0..5b1d08fc038899f0d78de6f0fc6dfac0d1c169b8 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_7.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_7.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (cross validation fold 7)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_8.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_8.py
index 1b267cd5dfe004bf11217a0ac61489b9de8f720d..ccf8f5829a24740c2e4b2a7f08dfbbf29ff863a0 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_8.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_8.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (cross validation fold 8)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_9.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_9.py
index 74696cf6f8fc31d0bfcbc3c4e63bcf51571cdb2f..b2da70361bc7187e6686ad9467e1fb74340c415b 100644
--- a/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_9.py
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS/fold_9.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11k simplified dataset for TB detection (default protocol)
+"""TBX11k simplified dataset for TB detection (cross validation fold 9)
 
 * Split reference: first 62.5% of TB and healthy CXR for "train" 15.9% for
 * "validation", 21.6% for "test"
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/__init__.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..c7cb9fb8c67ad9b3376d4c33d6dc8c77f09a1fdd
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/__init__.py
@@ -0,0 +1,10 @@
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+
+def _maker(protocol):
+    from ....data.tbx11k_simplified_RS_v2 import dataset as raw
+    from .. import make_dataset as mk
+
+    return mk([raw.subsets(protocol)])
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/default.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/default.py
new file mode 100644
index 0000000000000000000000000000000000000000..cae4cc852f720b87af3b5227286245d1dd7a9a72
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/default.py
@@ -0,0 +1,18 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (default protocol) (extended with
+DensenetRS predictions)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("default")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_0.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_0.py
new file mode 100644
index 0000000000000000000000000000000000000000..99cb5aeb3cdece50dce136fc0a41c4322ee08ba2
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_0.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 0)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_0")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_1.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_1.py
new file mode 100644
index 0000000000000000000000000000000000000000..dac2d72251980720aabaf313318cd944afdf0f3d
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_1.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 1)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_1")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_2.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_2.py
new file mode 100644
index 0000000000000000000000000000000000000000..d702c569f0cc88f2447d0180c2c040361cbb3334
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_2.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 2)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_2")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_3.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_3.py
new file mode 100644
index 0000000000000000000000000000000000000000..5ea7185e53540c5cad781972051088691b815632
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_3.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 3)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_3")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_4.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_4.py
new file mode 100644
index 0000000000000000000000000000000000000000..8386d9e4ddfd3f6499ec44d277a983588dfb3108
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_4.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 4)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_4")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_5.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_5.py
new file mode 100644
index 0000000000000000000000000000000000000000..e10f550f7addb5e3b6dd0dd2e8fba84f602d3877
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_5.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 5)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_5")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_6.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_6.py
new file mode 100644
index 0000000000000000000000000000000000000000..4e23e586c953bbee55ba08799a841e0e5b65a9c0
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_6.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 6)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_6")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_7.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_7.py
new file mode 100644
index 0000000000000000000000000000000000000000..8999a16e1f17202d539e38b6f276224b9e4e0129
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_7.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 7)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_7")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_8.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_8.py
new file mode 100644
index 0000000000000000000000000000000000000000..2bdb4201077a65aaa95dc3ced7bbb301f199c642
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_8.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 8)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_8")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_9.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_9.py
new file mode 100644
index 0000000000000000000000000000000000000000..599998512441d19c1300aedbf73f504457df347c
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v2/fold_9.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 9)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_9")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/__init__.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..a21cf7f43ee8d328a2d1dd615a18ad6842c8ea23
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/__init__.py
@@ -0,0 +1,10 @@
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+
+def _maker(protocol):
+    from ....data.tbx11k_simplified_RS_v3 import dataset as raw
+    from .. import make_dataset as mk
+
+    return mk([raw.subsets(protocol)])
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/default.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/default.py
new file mode 100644
index 0000000000000000000000000000000000000000..088f9186c589017e1dcf6305cb50aa350eacc399
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/default.py
@@ -0,0 +1,18 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (default protocol) (extended with
+DensenetRS predictions)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("default")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_0.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_0.py
new file mode 100644
index 0000000000000000000000000000000000000000..20c7316f0a8a71864e10f9c5bcc99bb2eab32795
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_0.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 0)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_0")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_1.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_1.py
new file mode 100644
index 0000000000000000000000000000000000000000..4d3c1961cb323f47d8422fb2b1b1183140208022
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_1.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 1)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_1")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_2.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_2.py
new file mode 100644
index 0000000000000000000000000000000000000000..bc8088a01469bca888bc3b3a4ec5a94a42e33851
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_2.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 2)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_2")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_3.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_3.py
new file mode 100644
index 0000000000000000000000000000000000000000..3fba1cda757a7d84f16b9b6b69c072fa59fef2b6
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_3.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 3)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_3")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_4.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_4.py
new file mode 100644
index 0000000000000000000000000000000000000000..d5917fefec6682c5d10066fa9a75fef9afd6a899
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_4.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 4)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_4")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_5.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_5.py
new file mode 100644
index 0000000000000000000000000000000000000000..2cf02786cbc0d4efc2fed4bd01d23d747d5fb33e
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_5.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 5)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_5")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_6.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_6.py
new file mode 100644
index 0000000000000000000000000000000000000000..c11e5b2f1b677145512fd6e13262018252d1420d
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_6.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 6)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_6")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_7.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_7.py
new file mode 100644
index 0000000000000000000000000000000000000000..d9cbb56661ac46c1b54dbd980bebbf922abbfd61
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_7.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 7)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_7")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_8.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_8.py
new file mode 100644
index 0000000000000000000000000000000000000000..5592912a4a8fbb96498d984e0640b32e198332dd
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_8.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 8)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_8")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_9.py b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_9.py
new file mode 100644
index 0000000000000000000000000000000000000000..79410450c17a194d70572ddb2c72590ae91b536e
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_RS_v3/fold_9.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 9)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_9")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/__init__.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..a1e6f50ca64a471417fef6ba47253cce9af9b12f
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/__init__.py
@@ -0,0 +1,25 @@
+# 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_v2 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,
+    )
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/default.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/default.py
new file mode 100644
index 0000000000000000000000000000000000000000..19000aef6faa723fc7cb20fc6ba01c1190f237be
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/default.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (default protocol)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("default")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_0.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_0.py
new file mode 100644
index 0000000000000000000000000000000000000000..99cb5aeb3cdece50dce136fc0a41c4322ee08ba2
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_0.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 0)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_0")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_0_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_0_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..473ed248c201a271a6f8a4a95d695dc5fa17159e
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_0_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 0, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_0", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_1.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_1.py
new file mode 100644
index 0000000000000000000000000000000000000000..dac2d72251980720aabaf313318cd944afdf0f3d
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_1.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 1)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_1")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_1_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_1_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..6b982365ca92acd63903a8968bcfe844e5dd0803
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_1_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 1, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_1", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_2.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_2.py
new file mode 100644
index 0000000000000000000000000000000000000000..d702c569f0cc88f2447d0180c2c040361cbb3334
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_2.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 2)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_2")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_2_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_2_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..2fe57611ae38d6d1ab799de0aa0b61e02ee10f68
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_2_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 2, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_2", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_3.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_3.py
new file mode 100644
index 0000000000000000000000000000000000000000..5ea7185e53540c5cad781972051088691b815632
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_3.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 3)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_3")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_3_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_3_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..31fc772ed8ee9d6cb38a1a806b8bf440e5552ee9
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_3_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 3, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_3", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_4.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_4.py
new file mode 100644
index 0000000000000000000000000000000000000000..8386d9e4ddfd3f6499ec44d277a983588dfb3108
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_4.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 4)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_4")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_4_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_4_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..aea87b63c9880036f1dde238c4ecb03802739f9b
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_4_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 4, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_4", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_5.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_5.py
new file mode 100644
index 0000000000000000000000000000000000000000..e10f550f7addb5e3b6dd0dd2e8fba84f602d3877
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_5.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 5)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_5")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_5_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_5_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..e7494300c8365308ccbc6308421a3302a6efeac9
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_5_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 5, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_5", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_6.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_6.py
new file mode 100644
index 0000000000000000000000000000000000000000..4e23e586c953bbee55ba08799a841e0e5b65a9c0
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_6.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 6)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_6")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_6_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_6_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..60768cef2c892fa2583437bfcc159eb8cae11352
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_6_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 6, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_6", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_7.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_7.py
new file mode 100644
index 0000000000000000000000000000000000000000..8999a16e1f17202d539e38b6f276224b9e4e0129
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_7.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 7)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_7")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_7_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_7_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..73115436d06db5ef692e8ccd1255d6c2fcd1740b
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_7_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 7, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_7", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_8.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_8.py
new file mode 100644
index 0000000000000000000000000000000000000000..2bdb4201077a65aaa95dc3ced7bbb301f199c642
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_8.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 8)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_8")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_8_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_8_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..c223d6507ff45eb6a550da2c74641ed1fdc9fedb
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_8_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 8, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_8", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_9.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_9.py
new file mode 100644
index 0000000000000000000000000000000000000000..599998512441d19c1300aedbf73f504457df347c
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_9.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 9)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_9")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_9_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_9_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..b232998fae1a86fad74f837c878dda35133f5c1c
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/fold_9_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 9, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_9", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v2/rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v2/rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..1af86d940eb0c89639abacf5379f0374431c93cf
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v2/rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (default protocol, converted in RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of non-TB and active TB samples
+* "healthy", "latent TB", and "sick & non-TB" samples are all merged under the label "non-TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v2` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("default", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/__init__.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..bed38616924b7f736f5d33d12c7bdf7911dc590f
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/__init__.py
@@ -0,0 +1,25 @@
+# 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_v3 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,
+    )
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/default.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/default.py
new file mode 100644
index 0000000000000000000000000000000000000000..7208fc7d89144fe610fe4084fc04af25e4880043
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/default.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (default protocol)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("default")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_0.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_0.py
new file mode 100644
index 0000000000000000000000000000000000000000..20c7316f0a8a71864e10f9c5bcc99bb2eab32795
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_0.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 0)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_0")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_0_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_0_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..ce57f3bc6c965074283372cc625771810edced67
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_0_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 0, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_0", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_1.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_1.py
new file mode 100644
index 0000000000000000000000000000000000000000..4d3c1961cb323f47d8422fb2b1b1183140208022
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_1.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 1)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_1")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_1_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_1_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..227af63411e06c4a55231742a1dc8b42d227a042
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_1_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 1, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_1", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_2.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_2.py
new file mode 100644
index 0000000000000000000000000000000000000000..bc8088a01469bca888bc3b3a4ec5a94a42e33851
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_2.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 2)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_2")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_2_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_2_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..1ee2b3304a9dd4d2b025872f6a5d59a367e67be7
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_2_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 2, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_2", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_3.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_3.py
new file mode 100644
index 0000000000000000000000000000000000000000..3fba1cda757a7d84f16b9b6b69c072fa59fef2b6
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_3.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 3)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_3")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_3_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_3_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..75ac8cd374c11becbee1a3cb44321b7b64cd79e8
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_3_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 3, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_3", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_4.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_4.py
new file mode 100644
index 0000000000000000000000000000000000000000..d5917fefec6682c5d10066fa9a75fef9afd6a899
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_4.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 4)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_4")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_4_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_4_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..130539f97a62a0bd94b5ae4895578d2b589e26fb
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_4_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 4, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_4", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_5.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_5.py
new file mode 100644
index 0000000000000000000000000000000000000000..2cf02786cbc0d4efc2fed4bd01d23d747d5fb33e
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_5.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 5)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_5")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_5_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_5_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..ab5dc438c29d3582211563d6214688995ecc8afd
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_5_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 5, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_5", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_6.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_6.py
new file mode 100644
index 0000000000000000000000000000000000000000..c11e5b2f1b677145512fd6e13262018252d1420d
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_6.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 6)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_6")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_6_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_6_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..4785cfc3aedb75fc2580bbf98e8050550bc97fba
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_6_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 6, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_6", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_7.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_7.py
new file mode 100644
index 0000000000000000000000000000000000000000..d9cbb56661ac46c1b54dbd980bebbf922abbfd61
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_7.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 7)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_7")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_7_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_7_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..6d914cee001d07aac35c63af97ff1e19256b4f10
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_7_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 7, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_7", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_8.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_8.py
new file mode 100644
index 0000000000000000000000000000000000000000..5592912a4a8fbb96498d984e0640b32e198332dd
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_8.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 8)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_8")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_8_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_8_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..6db0e80294fb0e5cea97c32cb61497ce9d81fe47
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_8_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 8, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_8", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_9.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_9.py
new file mode 100644
index 0000000000000000000000000000000000000000..79410450c17a194d70572ddb2c72590ae91b536e
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_9.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 9)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_9")
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_9_rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_9_rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..82af3049c91c52479876228ceaea230460634cd6
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/fold_9_rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (cross validation fold 9, RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("fold_9", RGB=True)
diff --git a/src/ptbench/configs/datasets/tbx11k_simplified_v3/rgb.py b/src/ptbench/configs/datasets/tbx11k_simplified_v3/rgb.py
new file mode 100644
index 0000000000000000000000000000000000000000..9729d5100fe03ca7befc900892485bf5c9220ed7
--- /dev/null
+++ b/src/ptbench/configs/datasets/tbx11k_simplified_v3/rgb.py
@@ -0,0 +1,17 @@
+# Copyright © 2022 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11k simplified dataset for TB detection (default protocol, converted in RGB)
+
+* Split reference: first 62.6% of CXR for "train", 16% for "validation",
+* 21.4% for "test"
+* This split consists of the 4 labels "healthy", "latent TB", "sick & non-TB", 
+* and "active TB"
+* This configuration resolution: 512 x 512 (default)
+* See :py:mod:`ptbench.data.tbx11k_v3` for dataset details
+"""
+
+from . import _maker
+
+dataset = _maker("default", RGB=True)
diff --git a/src/ptbench/data/tbx11k_simplified/__init__.py b/src/ptbench/data/tbx11k_simplified/__init__.py
index 0b47442003653f438592fa001ab005a363da086c..e5910379ee8065c7f571a69a1bc60c2d3ef94e60 100644
--- a/src/ptbench/data/tbx11k_simplified/__init__.py
+++ b/src/ptbench/data/tbx11k_simplified/__init__.py
@@ -2,7 +2,7 @@
 #
 # SPDX-License-Identifier: GPL-3.0-or-later
 
-"""TBX11K simplified dataset for computer-aided diagnosis.
+"""TBX11K simplified dataset for computer-aided diagnosis
 
 The TBX11K database has been established to foster research
 in computer-aided diagnosis of pulmonary diseases with a special
@@ -14,7 +14,7 @@ are: "healthy", "active TB", "latent TB", and "sick & non-tb".
 The version of the dataset used in this benchmark is a simplified.
 
 * Reference: [TBX11K-SIMPLIFIED-2020]_
-* Original resolution (height x width or width x height): 4020 x 4892
+* Original (released) resolution (height x width or width x height): 512 x 512
 * Split reference: none
 * Protocol ``default``:
 
diff --git a/src/ptbench/data/tbx11k_simplified_RS_v2/__init__.py b/src/ptbench/data/tbx11k_simplified_RS_v2/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..bec7223465a8b7265c497d42d604b95cfef68457
--- /dev/null
+++ b/src/ptbench/data/tbx11k_simplified_RS_v2/__init__.py
@@ -0,0 +1,62 @@
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""Extended TBX11K simplified dataset for computer-aided diagnosis (extended
+with DensenetRS predictions)
+
+The TBX11K database has been established to foster research
+in computer-aided diagnosis of pulmonary diseases with a special
+focus on tuberculosis (aTB). The dataset was specifically
+designed to be used with CNNs. It contains 11,000 chest X-ray
+images, each of a unique patient. They were labeled by expert
+radiologists with 5 - 10+ years of experience. Possible labels
+are: "healthy", "active TB", "latent TB", and "sick & non-tb".
+The version of the dataset used in this benchmark is a simplified.
+
+* Reference: [TBX11K-SIMPLIFIED-2020]_
+* Original (released) resolution (height x width or width x height): 512 x 512
+* Split reference: none
+* Protocol ``default``:
+
+  * Training samples: 62.6% of CXR (including labels)
+  * Validation samples: 16% of CXR (including labels)
+  * Test samples: 21.4% of CXR (including labels)
+"""
+
+import importlib.resources
+
+from ..dataset import JSONDataset
+from ..loader import make_delayed
+
+_protocols = [
+    importlib.resources.files(__name__).joinpath("default.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_0.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_1.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_2.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_3.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_4.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_5.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_6.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_7.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_8.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_9.json.bz2"),
+]
+
+
+def _raw_data_loader(sample):
+    return dict(data=sample["data"], label=sample["label"])
+
+
+def _loader(context, sample):
+    # "context" is ignored in this case - database is homogeneous
+    # we returned delayed samples to avoid loading all images at once
+    return make_delayed(sample, _raw_data_loader, key=sample["filename"])
+
+
+dataset = JSONDataset(
+    protocols=_protocols,
+    fieldnames=("filename", "label", "data"),
+    loader=_loader,
+)
+"""Extended TBX11K simplified dataset object."""
diff --git a/src/ptbench/data/tbx11k_simplified_RS_v3/__init__.py b/src/ptbench/data/tbx11k_simplified_RS_v3/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..bec7223465a8b7265c497d42d604b95cfef68457
--- /dev/null
+++ b/src/ptbench/data/tbx11k_simplified_RS_v3/__init__.py
@@ -0,0 +1,62 @@
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""Extended TBX11K simplified dataset for computer-aided diagnosis (extended
+with DensenetRS predictions)
+
+The TBX11K database has been established to foster research
+in computer-aided diagnosis of pulmonary diseases with a special
+focus on tuberculosis (aTB). The dataset was specifically
+designed to be used with CNNs. It contains 11,000 chest X-ray
+images, each of a unique patient. They were labeled by expert
+radiologists with 5 - 10+ years of experience. Possible labels
+are: "healthy", "active TB", "latent TB", and "sick & non-tb".
+The version of the dataset used in this benchmark is a simplified.
+
+* Reference: [TBX11K-SIMPLIFIED-2020]_
+* Original (released) resolution (height x width or width x height): 512 x 512
+* Split reference: none
+* Protocol ``default``:
+
+  * Training samples: 62.6% of CXR (including labels)
+  * Validation samples: 16% of CXR (including labels)
+  * Test samples: 21.4% of CXR (including labels)
+"""
+
+import importlib.resources
+
+from ..dataset import JSONDataset
+from ..loader import make_delayed
+
+_protocols = [
+    importlib.resources.files(__name__).joinpath("default.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_0.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_1.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_2.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_3.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_4.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_5.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_6.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_7.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_8.json.bz2"),
+    # importlib.resources.files(__name__).joinpath("fold_9.json.bz2"),
+]
+
+
+def _raw_data_loader(sample):
+    return dict(data=sample["data"], label=sample["label"])
+
+
+def _loader(context, sample):
+    # "context" is ignored in this case - database is homogeneous
+    # we returned delayed samples to avoid loading all images at once
+    return make_delayed(sample, _raw_data_loader, key=sample["filename"])
+
+
+dataset = JSONDataset(
+    protocols=_protocols,
+    fieldnames=("filename", "label", "data"),
+    loader=_loader,
+)
+"""Extended TBX11K simplified dataset object."""
diff --git a/src/ptbench/data/tbx11k_simplified_v2/__init__.py b/src/ptbench/data/tbx11k_simplified_v2/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..bf06074dc67890e9b5e843fac543964b9f032778
--- /dev/null
+++ b/src/ptbench/data/tbx11k_simplified_v2/__init__.py
@@ -0,0 +1,70 @@
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11K simplified dataset for computer-aided diagnosis
+
+The TBX11K database has been established to foster research
+in computer-aided diagnosis of pulmonary diseases with a special
+focus on tuberculosis (aTB). The dataset was specifically
+designed to be used with CNNs. It contains 11,000 chest X-ray
+images, each of a unique patient. They were labeled by expert
+radiologists with 5 - 10+ years of experience. Possible labels
+are: "healthy", "active TB", "latent TB", and "sick & non-tb".
+The version of the dataset used in this benchmark is a simplified.
+
+* Reference: [TBX11K-SIMPLIFIED-2020]_
+* Original (released) resolution (height x width or width x height): 512 x 512
+* Split reference: none
+* Protocol ``default``:
+
+  * Training samples: 62.6% of CXR (including labels)
+  * Validation samples: 16% of CXR (including labels)
+  * Test samples: 21.4% of CXR (including labels)
+"""
+
+import importlib.resources
+import os
+
+from ...utils.rc import load_rc
+from ..dataset import JSONDataset
+from ..loader import load_pil_baw, make_delayed
+
+_protocols = [
+    importlib.resources.files(__name__).joinpath("default.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_0.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_1.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_2.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_3.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_4.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_5.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_6.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_7.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_8.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_9.json.bz2"),
+]
+
+_datadir = load_rc().get(
+    "datadir.tbx11k_simplified_v2", os.path.realpath(os.curdir)
+)
+
+
+def _raw_data_loader(sample):
+    return dict(
+        data=load_pil_baw(os.path.join(_datadir, sample["data"])),  # type: ignore
+        label=sample["label"],
+    )
+
+
+def _loader(context, sample):
+    # "context" is ignored in this case - database is homogeneous
+    # we return delayed samples to avoid loading all images at once
+    return make_delayed(sample, _raw_data_loader)
+
+
+dataset = JSONDataset(
+    protocols=_protocols,
+    fieldnames=("data", "label"),
+    loader=_loader,
+)
+"""TBX11K simplified dataset object."""
diff --git a/src/ptbench/data/tbx11k_simplified_v2/default.json.bz2 b/src/ptbench/data/tbx11k_simplified_v2/default.json.bz2
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diff --git a/src/ptbench/data/tbx11k_simplified_v3/__init__.py b/src/ptbench/data/tbx11k_simplified_v3/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e6adab57a7dcce33f089339c24ed50fdc9ce2eea
--- /dev/null
+++ b/src/ptbench/data/tbx11k_simplified_v3/__init__.py
@@ -0,0 +1,70 @@
+# SPDX-FileCopyrightText: Copyright © 2023 Idiap Research Institute <contact@idiap.ch>
+#
+# SPDX-License-Identifier: GPL-3.0-or-later
+
+"""TBX11K simplified dataset for computer-aided diagnosis
+
+The TBX11K database has been established to foster research
+in computer-aided diagnosis of pulmonary diseases with a special
+focus on tuberculosis (aTB). The dataset was specifically
+designed to be used with CNNs. It contains 11,000 chest X-ray
+images, each of a unique patient. They were labeled by expert
+radiologists with 5 - 10+ years of experience. Possible labels
+are: "healthy", "active TB", "latent TB", and "sick & non-tb".
+The version of the dataset used in this benchmark is a simplified.
+
+* Reference: [TBX11K-SIMPLIFIED-2020]_
+* Original (released) resolution (height x width or width x height): 512 x 512
+* Split reference: none
+* Protocol ``default``:
+
+  * Training samples: 62.6% of CXR (including labels)
+  * Validation samples: 16% of CXR (including labels)
+  * Test samples: 21.4% of CXR (including labels)
+"""
+
+import importlib.resources
+import os
+
+from ...utils.rc import load_rc
+from ..dataset import JSONDataset
+from ..loader import load_pil_baw, make_delayed
+
+_protocols = [
+    importlib.resources.files(__name__).joinpath("default.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_0.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_1.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_2.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_3.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_4.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_5.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_6.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_7.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_8.json.bz2"),
+    importlib.resources.files(__name__).joinpath("fold_9.json.bz2"),
+]
+
+_datadir = load_rc().get(
+    "datadir.tbx11k_simplified_v3", os.path.realpath(os.curdir)
+)
+
+
+def _raw_data_loader(sample):
+    return dict(
+        data=load_pil_baw(os.path.join(_datadir, sample["data"])),  # type: ignore
+        label=sample["label"],
+    )
+
+
+def _loader(context, sample):
+    # "context" is ignored in this case - database is homogeneous
+    # we return delayed samples to avoid loading all images at once
+    return make_delayed(sample, _raw_data_loader)
+
+
+dataset = JSONDataset(
+    protocols=_protocols,
+    fieldnames=("data", "label"),
+    loader=_loader,
+)
+"""TBX11K simplified dataset object."""
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