Poseidon – Downstream Tasks
Collection
Datasets (from PDEGym) used in the downstream tasks for the Poseidon family of PDE foundation models.
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15 items
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Updated
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Error code: ConfigNamesError Exception: DataFilesNotFoundError Message: No (supported) data files found in camlab-ethz/NS-SVS Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 73, in compute_config_names_response config_names = get_dataset_config_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1904, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1885, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1270, in get_module module_name, default_builder_kwargs = infer_module_for_data_files( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 597, in infer_module_for_data_files raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else "")) datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in camlab-ethz/NS-SVS
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Based on the incompressible Navier-Stokes equations, this dataset contains trajectories starting from sinusoidal vortex sheet initial conditions, see https://arxiv.org/abs/2405.19101. It also contains a passive tracer that is carried by the flow.
The assembled NetCDF file has a single variable called velocity with dimensionality
It was simulated on the unit square up to T=1 and saved as uniformly spaced in space and time.
19640/120/240 trajectories
The dataset can be downloaded, e.g., via huggingface-cli download
.
After download, the chunked data can be assembled into a single NetCDF file using the provided assemble_data.py
script.
Use it as follows:
python assemble_data.py --input_dir . --output_file NS-SVS.nc