The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 64, in _split_generators
with h5py.File(first_file, "r") as h5:
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/h5py/_hl/files.py", line 564, in __init__
fid = make_fid(name, mode, userblock_size, fapl, fcpl, swmr=swmr)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/h5py/_hl/files.py", line 238, in make_fid
fid = h5f.open(name, flags, fapl=fapl)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "h5py/_objects.pyx", line 56, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 57, in h5py._objects.with_phil.wrapper
File "h5py/h5f.pyx", line 102, in h5py.h5f.open
FileNotFoundError: [Errno 2] Unable to synchronously open file (unable to open file: name = 'hf://datasets/thuerey-group/PBFM@7c05fec7841ff0c3f6536405c2517c923d36982c/data/dynamic_stall/dynamic_stall_train.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
The above exception was the direct cause of the following exception:
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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation
The datasets contain the data for the dynamic stall and Kolmogorov flow cases.
Dynamic Stall dataset
The design space is defined as a four-dimensional hypercube. The design variables are:
| Design variable | Symbol | Description | Range |
|---|---|---|---|
| Free-stream Mach number | $ M_{\infty} $ | Ratio of free-stream velocity to speed of sound | 0.3 – 0.5 |
| Mean angle of attack | $ \alpha_0 $ | Average angle between chord line and flow direction | 5° – 10° |
| Pitching amplitude | $ \alpha_s $ | Maximum angular deviation during pitching motion | 5° – 10° |
| Reduced frequency | $ k = \dfrac{\omega c}{2V_{\infty}} $ | Non-dimensional frequency of oscillation | 0.05 – 0.1 |
The hypercube is sampled with 128 points for training and 16 points for testing. Each sampled point represents a nominal operating condition.
Each nominal condition is perturbed as follows:
where $\mathcal{N}(0, 0.02)$ denotes a Gaussian noise term with zero mean and standard deviation 0.02.
This results in 32 perturbed variations per nominal condition, yielding a total of:
- $128 \times 32 = 4096$ simulations for training
- $16 \times 32 = 512$ simulations for testing
Each simulation that corresponds to a dataset sample has 6 fields of size $128 \times 128$. The fields correspond to:
- Absolute pressure
- x-wall tangential velocity gradient
- y-wall tangential velocity gradient
- Temperature
- Density
- Wall shear stress
Each hdf5 file contains three arrays:
fieldswith shape(conditions, samples per condition, fields, x, y)nominal_conditionwith shape(nominal conditions, samples per condition, design variables)real_conditionwith shape(real conditions, samples per condition, design variables)
Kolmogorov flow dataset
The Kolmogorov flow problem spans Reynolds numbers in the range $[100, 500]$, using a spatial resolution of $128 \times 128$. The simulations are performed using TorchFSM. The training dataset includes 32 different flow conditions, while the validation dataset contains 16 conditions. Each condition has $1, 024$ snapshots.
Each simulation that corresponds to a dataset sample has 2 fields of size $128 \times 128$. The fields correspond to:
- x-velocity
- y-velocity
Each hdf5 file contains two arrays:
fieldswith shape(conditions, samples per condition, fields, x, y)reynoldswith shape(reynolds numbers, )
- Downloads last month
- 39