Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 49, in _split_generators
import h5py
ModuleNotFoundError: No module named 'h5py'
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 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, 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.
NeuralDEM Dataset
Dataset repository for NeuralDEM, containing simulation data for training and evaluating deep learning surrogates for industrial particulate flows and particle-fluid coupled systems.
Dataset Summary
The NeuralDEM dataset covers two primary physics benchmarks:
- Hopper Simulations (Particle Systems)
- Setup: Hopper domain with a bottom outlet initially loaded with ~250,000 particles discharging over time.
- Physics: Discrete Element Method (DEM) dynamics across diverse hopper geometry angles and particle friction regimes.
- Fluidized Bed Reactor (Particle-Fluid Coupled Systems)
- Setup: Reactor containing ~500,000 particles with uniform fluid (air) injection from the bottom grid.
- Physics: Coupled CFD-DEM multi-physics system over ~160,000 hexahedral CFD grid cells across varying fluid inlet velocities.
For inference scripts, model checkpoints, and simulation rollouts, visit the NeuralDEM GitHub Repository.
License
This dataset is distributed under the CC-BY-NC 4.0 license.
Citation instructions
@article{alkin2024neuraldem,
title={{NeuralDEM} for real time simulations of industrial particular flows},
author={Benedikt Alkin and Tobias Kronlachner and Samuele Papa and Stefan Pirker and Thomas Lichtenegger and Johannes Brandstetter},
journal={Nature Communications Physics},
year={2025}
doi={10.1038/s42005-025-02342-4},
}
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