The dataset viewer is not available for this subset.
Exception: HfHubHTTPError
Message: Server error '504 Gateway Time-out' for url 'https://huggingface.co/api/datasets/MedOtter/LCTSC/tree/bf4e9b1007d729d72524f85166e32e4129658004/data?recursive=true&expand=false'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/504
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1325, in load_dataset_builder
dataset_module = dataset_module_factory(
path,
...<5 lines>...
cache_dir=cache_dir,
)
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
).get_module()
~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 649, in get_module
data_files = DataFilesDict.from_patterns(
patterns,
...<2 lines>...
download_config=self.download_config,
)
File "/usr/local/lib/python3.14/site-packages/datasets/data_files.py", line 723, in from_patterns
else DataFilesList.from_patterns(
~~~~~~~~~~~~~~~~~~~~~~~~~~~^
patterns_for_key,
^^^^^^^^^^^^^^^^^
...<2 lines>...
download_config=download_config,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/data_files.py", line 616, in from_patterns
resolve_pattern(
~~~~~~~~~~~~~~~^
pattern,
^^^^^^^^
...<2 lines>...
download_config=download_config,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/data_files.py", line 372, in resolve_pattern
for filepath, info in fs.glob(fs_pattern, detail=True, **glob_kwargs).items():
~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 728, in glob
return super().glob(path, maxdepth=maxdepth, **kwargs)
~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/spec.py", line 604, in glob
allpaths = self.find(root, maxdepth=depth, withdirs=True, detail=True, **kwargs)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 767, in find
out = self._ls_tree(path, recursive=True, refresh=refresh, maxdepth=maxdepth, **kwargs)
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_file_system.py", line 612, in _ls_tree
for path_info in tree:
^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/hf_api.py", line 3922, in list_repo_tree
for path_info in paginate(path=tree_url, headers=headers, params={"recursive": recursive, "expand": expand}):
~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_pagination.py", line 36, in paginate
hf_raise_for_status(r)
~~~~~~~~~~~~~~~~~~~^^^
File "/usr/local/lib/python3.14/site-packages/huggingface_hub/utils/_http.py", line 877, in hf_raise_for_status
raise _format(HfHubHTTPError, str(e), response) from e
huggingface_hub.errors.HfHubHTTPError: Server error '504 Gateway Time-out' for url 'https://huggingface.co/api/datasets/MedOtter/LCTSC/tree/bf4e9b1007d729d72524f85166e32e4129658004/data?recursive=true&expand=false'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/504Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
LCTSC — Lung CT Segmentation Challenge 2017 (AAPM)
Mirror of the TCIA LCTSC collection for the AAPM 2017 Thoracic Auto-segmentation Grand Challenge. 60 thoracic CT cases (CT volumes + DICOM RTSTRUCT contours) covering five organs at risk for radiation treatment planning.
Classes (5 OARs)
| Class | Notes |
|---|---|
| Esophagus | |
| Heart | |
| Left Lung | RTSTRUCT splits Lungs into L/R |
| Right Lung | |
| Spinal Cord |
Splits
| Split | Cases | HF folder |
|---|---|---|
| Training | 36 | train/ |
| Off-site test | 12 | test_offsite/ |
| Online (live) test | 12 | test_online/ |
| Total | 60 |
Cases are stratified across three institutions (S1: MD Anderson, S2: MSKCC, S3: MAASTRO) — case IDs encode the institution: e.g., LCTSC-Train-S2-005.
Data layout
Each patient folder contains:
- one CT series (
<study_uid>/<series_uid>/*.dcm, ~140 slices, 512×512, ~512 KB/slice) - one DICOM RTSTRUCT (
<study_uid>/<small_uid>/1-1.dcm, ~2 MB) with the five OAR contours
train/LCTSC-Train-S1-001/<study>/<ct_series>/*.dcm
train/LCTSC-Train-S1-001/<study>/<rtstruct_series>/*.dcm
License & citation
Released under CC BY 3.0 by TCIA.
When using this data, cite the original publication and TCIA per the LCTSC citation policy:
Yang J, Veeraraghavan H, Armato SG III, et al. Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. Med Phys. 2018;45(10):4568-4581. doi:10.1002/mp.13141
Clark K, Vendt B, Smith K, et al. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. J Digit Imaging. 2013;26(6):1045-1057.
Original DOI: 10.7937/K9/TCIA.2017.3R3FVZ08.
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