Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: ReadTimeout
Message: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 9cd73640-fa83-4023-8628-b13c7e5b669f)')
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/load.py", line 1132, in load_dataset_builder
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/load.py", line 1004, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/load.py", line 631, in get_module
patterns = get_data_patterns(base_path, download_config=self.download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/data_files.py", line 473, in get_data_patterns
return _get_data_files_patterns(resolver)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/data_files.py", line 262, in _get_data_files_patterns
data_files = pattern_resolver(pattern)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/data_files.py", line 360, in resolve_pattern
for filepath, info in fs.glob(pattern, detail=True, **glob_kwargs).items()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 520, in glob
path = self.resolve_path(path, revision=kwargs.get("revision")).unresolve()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
self._api.repo_info(
File "/src/services/worker/.venv/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
return method(
^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
r = get_session().get(path, headers=headers, timeout=timeout, params=params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/requests/sessions.py", line 602, in get
return self.request("GET", url, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 96, in send
return super().send(request, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/.venv/lib/python3.12/site-packages/requests/adapters.py", line 690, in send
raise ReadTimeout(e, request=request)
requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 9cd73640-fa83-4023-8628-b13c7e5b669f)')Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
AneuG-Flow Dataset
Dataset Description
AneuG-Flow is a comprehensive dataset for intracranial aneurysm hemodynamics, containing computational fluid dynamics (CFD) simulations of blood flow through synthetic aneurysm morphologies generated by a generative model AneuG [1].
Dataset Summary
This dataset provides:
- 730 aneurysm cases with transient (time-varying) flow simulations
- High-resolution 3D geometries (original and remeshed)
- Blood flow data and wall shear stress
- Flow split ratios and inlet boundary conditions
- Pre-processed and assembled data for machine learning applications
Dataset Structure
Data Instances
The dataset is organized into three main directories:
1. steady_data/
Contains steady-state simulation data:
raw_data.pth: Raw steady-state simulation results
2. transient_data/ (~4.8GB)
Contains 730 individual case folders (stable_*) with:
shape.obj: Original aneurysm geometry meshshape_remeshed.obj: Remeshed geometry for simulationblood_data.pt: Transient blood flow simulation results (PyTorch tensor)wall_data.pt: Transient Wall Shear Stress (PyTorch tensor)inlet_centroids.csv: 3D coordinates of inlet boundary points (x, y, z)flowsplit_ratio.txt: Flow split ratios at outletscheckpoint.npy: AneuG checkpoints
3. processed_data/ (~32GB)
Pre-processed and assembled data ready for machine learning:
assembled_registered_data_1k_v4.pth: Assembled transient flow dataassembled_registered_steady_data_1k_v4.pth: Assembled steady-state flow data
4. Geometries.zip
Compressed archive of geometry files.
Licensing Information
This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.
Citation Information
If you wish to use this dataset in your research, please cite the following publication:
[1] Ding, W., Ji, K., Castro, S., Luo, Y., Roi, D., Yap, C.H.: Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning. Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, Lecture Notes in Computer Science 15969, 595--604 (2025).
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