removed unusable tbx11k custom split 3

src/ptbench/data/tbx11k_simplified_v3_RS/__init__.py

-# 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."""