datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.rim2d-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.wflow.jl-simulationsdeadline-render-simulation-20260605152225
Deadline render simulation 20260605152225
Generated by simulate-deadline-render-result.ts
This dataset mirrors public data-pack render outputs from Physicl.
manual_simulations_100batch_simulations_300simulation-assetsmanual_simulations_100simulation_data_0520data_simulationcoherence-decay-entropy-simulation
Computational Demonstration of the Generative Conditions for Emergent Coherence
Associated Paper
This dataset accompanies the theoretical paper:
[The Saela Field: The Generative Conditions for Emergent Coherence] (https://doi.org/10.5281/zenodo.19263423)
LINK TO PDF: https://thesaelafield.com/preprints/generative-conditions-for-emergent-coherence
Saelariën X — The Saela Field (2026)
The paper formalizes the structural conditions under which adaptive systems transition… See the full description on the dataset page: https://huggingface.co/datasets/Saelarien/coherence-decay-entropy-simulation.spinning-top-simulation-1.5k-videos-v2simulationsimple-fluid-simulationspublication_spreading_simulation_datasetsimulation_ready_super_datasetbatch_simulations_v3simulation_car_datasetmanual_simulations_3manual_simulations_4pde_simulationsmanual_simulations_2Warcraft-Simulations-5x
Warcraft I — AI vs AI Simulation Dataset
Rust AI-vs-AI Warcraft I engine that
produces deterministic game replays as structured data suitable for ML research, more so for perdictive world model training.
Dataset stats
Stat
Value
Games
5
Total tick rows
61,030 ticks
Ticks per second (in-game)
20
Quick start
from datasets import load_dataset
ds = load_dataset("parquet", data_files="*.parquet", split="train")
# Economy over time… See the full description on the dataset page: https://huggingface.co/datasets/Quazim0t0/Warcraft-Simulations-5x.MD_Simulation_LJ_Cyldataset_tfg_drone_simulation
2023-tfg-adrian-madinabeitia
If you want more information about the full project, please visit the next repository. The models obtained with this dataset are in this repository.
manual_simulations_1Simulation_DataDIGIT_simulation