Datasets:

shenmaa
/

hawins-bubble-fm-hdf5-v2-fp64

Error code:   StreamingRowsError
Exception:    ArrowInvalid
Message:      Mismatching child array lengths
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 87, in _generate_tables
                  pa_table = _recursive_load_arrays(h5, self.info.features, start, end)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 273, in _recursive_load_arrays
                  arr = _recursive_load_arrays(dset, features[path], start, end)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 273, in _recursive_load_arrays
                  arr = _recursive_load_arrays(dset, features[path], start, end)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 273, in _recursive_load_arrays
                  arr = _recursive_load_arrays(dset, features[path], start, end)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 294, in _recursive_load_arrays
                  sarr = pa.StructArray.from_arrays(values, names=keys)
                File "pyarrow/array.pxi", line 4306, in pyarrow.lib.StructArray.from_arrays
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Mismatching child array lengths

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.

HAWINS Bubble FM HDF5 v2 FP64

This dataset contains multi-fidelity HAWINS bubble_shock2 radiation-hydrodynamics trajectories for conditional flow-matching residual training.

manifest.csv: one row per parameter case, with split, file path, physical parameters, runtime, and step counts.
dataset_card.json: machine-readable dataset metadata.
cases/case_*.h5: one HDF5 file per parameter case.
visual_report/: lightweight figures and summary tables for inspection.

Simulation Setup

Problem: bubble_shock2
Storage dtype: float64
Channels: rho, mom_x, mom_y, energy_e, energy_i, energy_r
Parameters: bubble_rho_ratio, bubble_pressure_ratio, bubble_radius, shock_distance_ratio, shock_velocity_scale
Snapshots per trajectory: 9
Final time: 0.001
HAWINS commit recorded in metadata: 8610eb39a5d919af7922b01a7ffc7d772f0103a1

Fidelity Levels

Fidelity	Grid
L0	128 x 48
L1	256 x 96
L2	800 x 288

The manifest records which fidelities are available for each case.

HDF5 Layout

Each case file stores data under fidelities/{L0,L1,L2} when available:

traj/U: trajectory array with shape (time, channel, y, x)
traj/t: physical snapshot times
traj/tau: normalized snapshot times
grid/x, grid/y: grid coordinates
runtime: per-fidelity runtime metadata
params/theta: normalized/ordered parameter vector

Usage

Use manifest.csv to select cases, then load the corresponding HDF5 file.

import h5py

with h5py.File("cases/case_000000.h5", "r") as f:
    u_l0 = f["fidelities/L0/traj/U"][:]
    theta = f["params/theta"][:]

Notes

The dataset is intended for scientific ML experiments on residual learning, super-resolution, and multi-fidelity flow matching. Generated visualization artifacts are included only for inspection; model training should use manifest.csv and the HDF5 case files.

Downloads last month: 1,064

Total file size:

15.3 GB