datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GMFlow_raw_simulation
GMFlow Raw Simulation
Overview
GMFlow Raw Simulation is a large-scale open dataset of high-fidelity three-dimensional earthquake ground-motion simulations generated for the GMFlow project. It contains both point-source and finite-rupture earthquake scenarios for San Francisco Bay Area, covering magnitudes Mw 4.4, Mw 6, and Mw 7.
The simulations are performed on the supercomputer Perlmutter at the National Energy Research Scientific Computing Center (NERSC), with a total… See the full description on the dataset page: https://huggingface.co/datasets/Yaozhong/GMFlow_raw_simulation.Paired_Compressible_Boussinesq_Flow_Simulation_with_Random_Temperature_BCs
Paired Compressible / Boussinesq Flow with Random Temperature BCs
📄 Paper: A Neural Surrogate Approach for Simulating Natural Convection
Problems (arXiv:2606.25259) — Nurshat Menglik,
Alex Shao, David Hyde.
10,000 matched pairs of 2D natural-convection simulations of the differentially
heated square cavity under randomized wall-temperature boundary conditions. Each
sample solves the same problem twice — once with the Boussinesq model and once
with the fully compressible model —… See the full description on the dataset page: https://huggingface.co/datasets/NurshatMenglik/Paired_Compressible_Boussinesq_Flow_Simulation_with_Random_Temperature_BCs.simulation-package
Simulation runtime: the third-party half of the AVSim data generation package
This repository holds the third-party runtime of the Simulation data generation package, version 3: the pieces the pipeline needs that were not written by the authors. It contains no code and no data of the authors. It is not usable on its own: the private half of the package, AVSim/simulation, downloads this repository into the same directory at a pinned revision with its fetch_runtime.sh script and… See the full description on the dataset page: https://huggingface.co/datasets/AVSim/simulation-package.SimulationMetadata
PercepTax — Simulation Metadata
Supporting metadata for the PercepTax benchmark.
This repository holds the object taxonomy, object lists / placement rules, and
per-scene 3D annotations used to render and annotate the simulated split of PercepTax.
It is a collection of JSON/CSV/PNG files (not a load_dataset-style tabular dataset).
Contents
taxonomy/ # the physical-property taxonomy
├── taxonomy.json # full taxonomy… See the full description on the dataset page: https://huggingface.co/datasets/TaxonomyProject/SimulationMetadata.Downstream_Physics_Simulation
GeoPT
Project Page | Paper | GitHub
This repository contains the physics simulation data for the paper GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training.
GeoPT is a unified model pre-trained on large-scale geometric data for general physics simulation, unlocking a scalable path for neural simulation.
Overview
GeoPT is evaluated on the following five simulation tasks.
Dataset
Mesh Size
Variable
Training
Test
Total Size
Source
DrivAerML… See the full description on the dataset page: https://huggingface.co/datasets/GeoPT/Downstream_Physics_Simulation.tabletop-simulation-rlds
Talbetop Simulation Dataset - RLDS Format
Bimanual tabletop simulation dataset, collected on Tabletop-Sim.
In total, 20GB.
git clone https://huggingface.co/datasets/jellyho/tabletop-simulation-rlds
cd tabletop-simulation-rlds
git lfs pull
heat3d-thermal-simulation
Heat3D Thermal Simulation Dataset: Synthetic 3D Heat-Conduction Data for Operator Learning
This repository is the main dataset entry point for the Heat3D project. It is
intended to collect multiple synthetic 3D heat-conduction subsets for operator
learning research.
The root index currently highlights:
subsets/v0_unitcube_demo/: a prototype UnitCube dataset for checking data
loading, 3D graph construction, training, and evaluation workflows.… See the full description on the dataset page: https://huggingface.co/datasets/133754144X/heat3d-thermal-simulation.tabletop-simulation-hdf5rim2d-simulations
RIM2D East Africa Flood Simulations
Event-based 2D hydraulic inundation simulations for the GHACOF flood storyline
workshop (May 2026), produced under the ICPAC E4DRR / CRAF'D project.
Cases
Each <case>/ directory is self-contained and can be re-run with RIM2D:
<case>/
├── input/
│ ├── dem.nc Copernicus GLO-30 DEM → reference grid
│ ├── buildings.nc Overture Maps building fraction raster
│ ├── channel_mask.nc channel mask… See the full description on the dataset page: https://huggingface.co/datasets/E4DRR/rim2d-simulations.SimulationImagelaser-arc_welding_simulation_dataset_tecplot_formatSimulation_asset_datasetDownstream_Physics_Simulation
GeoPT
Project Page | Paper | GitHub
This repository contains the physics simulation data for the paper GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training.
GeoPT is a unified model pre-trained on large-scale geometric data for general physics simulation, unlocking a scalable path for neural simulation.
Overview
GeoPT is evaluated on the following five simulation tasks.
Dataset
Mesh Size
Variable
Training
Test
Total Size
Source… See the full description on the dataset page: https://huggingface.co/datasets/introvoyz041/Downstream_Physics_Simulation.simulations
Verasonics ultrasound data (zea format)
This dataset contains raw ultrasound data acquired with Verasonics systems,
converted to the zea HDF5 format.
agent-simulations
Agent Simulations
Made with the whileai SDK · Collections: Simulation, Start here: foundational post-training datasets
53,971 synthetic agent trajectories generated by simulations
across 34 agent types. The rows include successful and failed
trajectories for supervised fine-tuning, preference work, reinforcement learning, and
evaluation.
NOTE: This is generated test and training data, not curated ground truth. Review and
filter it for your application before training or… See the full description on the dataset page: https://huggingface.co/datasets/while-ai/agent-simulations.vrh3-part-placing-simulation-landmarkfoundation-model-results-simulation-consortiathat-one-google-math-datasetapolocheese for poor format, it's because I Don't Care (i'm tired and still working)
data from: https://github.com/google-deepmind/mathematics_dataset
from huggingface_hub import snapshot_download
from datasets import load_dataset
import os
def get_all_files(directory):
file_paths = []
for root, dirs, files in os.walk(directory):
for name in files:
full_path = os.path.join(root, name)
file_paths.append(os.path.abspath(full_path))
return file_paths… See the full description on the dataset page: https://huggingface.co/datasets/midwestern-simulation/that-one-google-math-dataset.quantum-simulation-chemistry-materials
Neura Parse — Quantum Simulation of Chemistry & Materials: Encodings, VQE/QPE & Dynamics
An application-deep, code-backed vertical on simulating quantum matter: electronic-structure problems, fermion-to-qubit encodings, Hamiltonian factorizations, ground/excited-state and real-time-dynamics algorithms, and analog simulation, with end-to-end resource estimates and honest classical-competitor accounting. Built with Qiskit Nature, OpenFermion, PennyLane-QChem, and PySCF — far… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-simulation-chemistry-materials.Transmute2K-Library-of-Image-Transformations-Simulations-and-Augmentations
Transmute2K: Library of Image Transformations Simulations and Augmentations, based 2K methods, models and simulation from science, art and math.
Transmute2K is a large-scale library and dataset containing 2,000 image transformation methods based on techniques, simulations and models from various fields of science, math and art that have been adapted for image manipulation and image-processing.
In general, the transformations can be applied to standard RGB images, as well as to… See the full description on the dataset page: https://huggingface.co/datasets/FlyingFrog/Transmute2K-Library-of-Image-Transformations-Simulations-and-Augmentations.rfi-simulationsfly-sud-simulation
FlyWire-informed odor-reward simulation: individual-behavior V4b
The full predeclared validation FAILED. This is synthetic simulation data,
not measured fly behavior or a quantitative reproduction of Kaun et al. (2011).
Detailed results ·
Code and protocols
Findings and limitations
256 independently seeded validation flies, four conditions (paired, unpaired,
untrained, retrieval-DAN-silenced), two delays (30 min, 24 h), 32 flies per cell:
8 reciprocal replicate… See the full description on the dataset page: https://huggingface.co/datasets/Histochemichael/fly-sud-simulation.manual_simulations_100Dynamics_Simulation_Dataset
Dynamics Simulation Dataset
Dataset Summary
This dataset contains dynamics simulation trajectories computed with the Natural Coordinate Method (NCM). It is organized by benchmark case. Each case provides a training split and a test split, and each split contains multiple simulation runs with different initial conditions.
The dataset is intended for learning and evaluating dynamics models, trajectory prediction methods, control-aware models, and surrogate models… See the full description on the dataset page: https://huggingface.co/datasets/PerseusLjf/Dynamics_Simulation_Dataset.manual_simulations_100deadline-render-simulation-20260605152225
Deadline render simulation 20260605152225
Generated by simulate-deadline-render-result.ts
This dataset mirrors public data-pack render outputs from Physicl.
batch_simulations_300MC_proton_simulation_DoseRAD2026
Water-Phantom Proton Monte Carlo (DoseRAD2026)
Full 3D Monte-Carlo energy-deposit distributions for 85 proton energies in a water
phantom, 10⁹ primaries each. This is the reference data behind the machine look-up table
of team DoseHappens's DoseRAD2026 Grand Challenge
entry (submitted algorithm codename MAALGO): the analytic pencil-beam engine's depth-dose and lateral-spread curves are fitted to
these volumes, and then refined by backpropagating the dose engine against them.… See the full description on the dataset page: https://huggingface.co/datasets/zimmeryWo/MC_proton_simulation_DoseRAD2026.wflow.jl-simulationsfoundation-model-data-simulation