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Error code: ConfigNamesError Exception: BadZipFile Message: zipfiles that span multiple disks are not supported Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response for config in sorted(get_dataset_config_names(path=dataset, token=hf_token)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1495, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1472, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1042, 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 507, in infer_module_for_data_files split_modules = { File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 508, in <dictcomp> split: infer_module_for_data_files_list(data_files_list, download_config=download_config) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 450, in infer_module_for_data_files_list return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 478, in infer_module_for_data_files_list_in_archives for f in xglob(extracted, recursive=True, download_config=download_config)[ File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py", line 558, in xglob fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 606, in get_fs_token_paths fs = filesystem(protocol, **inkwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 261, in filesystem return cls(**storage_options) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 76, in __call__ obj = super().__call__(*args, **kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 59, in __init__ self.zip = zipfile.ZipFile( File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__ self._RealGetContents() File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents endrec = _EndRecData(fp) File "/usr/local/lib/python3.9/zipfile.py", line 286, in _EndRecData return _EndRecData64(fpin, -sizeEndCentDir, endrec) File "/usr/local/lib/python3.9/zipfile.py", line 232, in _EndRecData64 raise BadZipFile("zipfiles that span multiple disks are not supported") zipfile.BadZipFile: zipfiles that span multiple disks are not supported
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SURF: A Generalisation Benchmark for GNNs Predicting Fluid Dynamics
SURF, is a benchmark designed to test the generalization of learned graph-based fluid simulators. The benchmark consists of seven independent datasets:
- Base
- Turned
- Topo
- Range
- Dynamic
- Full
- FullFiner
Each dataset is available as separate *.zip file and consists of at least 1200 2D incompressible fluid flow simulations with 300 timesteps. The data structure is as follows:
- folder: dataset_name
- folders: dpx
- files: sim.npz, triangles.py, constrained_kmeans_20.npy, Simulation_dp1_Timestep_50.png
- folder: Splits
- files: train.txt, test.txt, valid.txt
- folders: dpx
The file sim.npz (numpy archive) contains the result of the simulation for each timestep at each node:
- 'pointcloud': x, y coordinates
- 'VX': velocity in x-direction
- 'VY': velocity in y-direction
- 'PS': static pressure
- 'PG': dynamic pressure
- 'T': temperature
- 'TC': thermal conductivity of fluid
- 'HC': heat capacity of fluid
The results have the following shape: VX.shape=(#timesteps, #nodes, 1).
The file triangles.py contains the mesh connectivity. triangles.shape=(#timesteps, #elements, 3). Each triangle is defined by the node numbers in counter clockwise direction.
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