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68 entries in Engineering

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ABC-1MADSKAILabOne million CAD-quality 3D shapes drawn from the ABC dataset — the foundation training corpus for the Make-A-Shape and WaLa generative models.CAD Geometry CorpusExplore
active_matterpolymathic-aiHigh-fidelity simulations of self-propelled particle systems for benchmarking learned PDE solvers and emergent collective behaviour models.Physics SimulationExplore
AirfRANS_originalPLAID-datasetsOriginal AirfRANS airfoil RANS simulation dataset — graph-structured CFD over NACA airfoils for benchmarking physics-informed and graph neural networks.Aerodynamics CFDExplore
aqcat25-datasetSandboxAQ13.5M DFT calculation trajectories for heterogeneous catalysis and ML potential training.Computational ChemistryExplore
AtompackLeMaterialAtompack — Hub-hosted public atomistic ML datasets distributed in the Atompack format, part of the broader LeMaterial effort to standardise atomistic data exchange.Atomistic ML FormatExplore
CCAluminary-shiftCommon Compressor Aero (CCA) dataset — compressor and turbomachinery simulations for ML-augmented aerospace design workflows.Aerospace CFDExplore
ChemBenchjablonkagroupManually curated benchmark of 3,000+ chemistry and materials science questions across spectroscopy, reactivity, synthesis, and property prediction for evaluating LLMs.Chemistry BenchmarkExplore
codeparrot_megatronADSKAILabMegatron-formatted CodeParrot release used for large-scale code language-model pretraining experiments at Autodesk AI Lab.Code PretrainingExplore
constellarationproxima-fusionLarge-scale dataset of quasi-isodynamic stellarator designs with MHD equilibria for fusion energy research.Fusion PhysicsExplore
dataset_concrete_compressive_strengthfoundry-mlConcrete compressive-strength dataset — mix-design and test data for ML-based civil-engineering material modelling.Construction MaterialsExplore
dataset_metallicglass_dmaxfoundry-mlMaximum glass-forming diameter (Dmax) data for bulk metallic glasses — for ML screening of casting feasibility.Metallic GlassExplore
dataset_metallicglass_rcfoundry-mlCritical cooling rate (Rc) data for metallic glasses — supports ML prediction of glass-forming ability.Metallic GlassExplore
dataset_metallicglass_rc_llmfoundry-mlLLM-extracted critical cooling rate data for metallic glasses — text-mined complement to the structured Rc dataset.Metallic GlassExplore
dataset_mg_alloyfoundry-mlMagnesium alloy dataset — composition and property data for ML modelling of lightweight structural alloys.Alloy PropertiesExplore
dataset_rpv_ttsfoundry-mlReactor pressure-vessel (RPV) transition-temperature shift dataset — supports ML prediction of irradiation embrittlement.Reactor MaterialsExplore
drivaermlneashtonHigh-fidelity CFD simulation dataset of the DrivAer reference automotive geometry — resolved-flow data for training ML models on aerodynamics prediction (drag, downforce, surface pressure).Automotive CFDExplore
elastic_tensor_v1-1foundry-mlElastic tensor data for inorganic materials — supports ML prediction of bulk and shear moduli.Mechanical PropertiesExplore
electromigration_v1-1foundry-mlElectromigration data for interconnect materials — supports ML prediction of failure rates in microelectronic devices.Failure MechanismsExplore
foundry_stan_segmentation_v1-1foundry-mlSegmentation dataset (STAN) for materials microscopy images — supports ML feature extraction from electron-microscopy data.Microscopy SegmentationExplore
LeMat-BulkLeMaterialPrimary bulk materials database aggregating 1M+ crystal structures with DFT-computed formation energies, band gaps, and elastic properties for materials discovery.Materials ScienceExplore
LeMat-Bulk-DFT-HullLeMaterialDFT convex hull reference data for materials stability analysis.Materials ScienceExplore
LeMat-Bulk-DFT-Hull-AllLeMaterialComplete DFT convex hull dataset for bulk materials discovery.Materials ScienceExplore
LeMat-Bulk-MLIP-Formation-EnergiesLeMaterialFormation energies for LeMat-Bulk computed with multiple ML interatomic potentials (MLIPs) — used to benchmark MLIPs and to derive MLIP-based stability estimates.Materials ScienceExplore
LeMat-Bulk-MLIP-HullLeMaterialConvex hull data for bulk materials from MLIP calculations.Materials ScienceExplore
LeMat-BulkUniqueLeMaterialDeduplicated companion to LeMat-Bulk — unique inorganic crystal structures aggregated across source databases, intended as a curated training set for generative materials models.Materials ScienceExplore
LeMat-GenBench-embeddingsLeMaterialPrecomputed embeddings for the LeMat-GenBench benchmark — drop-in features for evaluating generative materials models on crystal-structure prediction and downstream tasks.Materials EmbeddingsExplore
LeMat-RhoLeMaterialLeMat-Rho — ~69,000 inorganic crystal structures computed at the r2SCAN meta-GGA level in VASP, with charge densities, Bader charges, forces, stresses, and energies for ML training and electronic-structure analysis.Materials ScienceExplore
LeMat-SynthLeMaterialLeMat-Synth — curated dataset of materials synthesis procedures and conditions, supporting work on synthesizability prediction and synthesis-route generation.Materials SynthesisExplore
LeMat-Synth-PapersLeMaterialLeMat-Synth-Papers — curated corpus of materials synthesis literature, intended for training and evaluating models that extract synthesis procedures and recipes from text.Materials LiteratureExplore
LeMat-TrajLeMaterialLarge-scale molecular dynamics trajectory dataset for training machine learning interatomic potentials across diverse bulk material compositions.Materials ScienceExplore
LeMat-Traj-subsetLeMaterialSmaller curated subset of LeMat-Traj — manageable slice of the full molecular-dynamics trajectory corpus for prototyping and small-scale MLIP training.Materials ScienceExplore
LLM-narrative-planning-tasksetADSKAILabNarrative planning task set for evaluating LLM planning and reasoning over multi-step design and engineering scenarios.Planning BenchmarkExplore
mask_rcnn_defect_detection_v1-1foundry-mlMicroscopy image dataset annotated for instance-segmentation defect detection — Mask R-CNN training data for materials inspection.Defect DetectionExplore
MHD_64polymathic-ai3D magnetohydrodynamics turbulence simulations at 64³ resolution for training and benchmarking physics-informed neural operators.Physics SimulationExplore
peS2oallenaiApproximately 40M cleaned, filtered, and formatted open-access academic papers derived from S2ORC — a large multi-domain pretraining corpus for science-aware language models, spanning biology, chemistry, engineering, computer science, and physics.Pretraining CorpusExplore
piezoelectric_tensor_v1-1foundry-mlPiezoelectric tensor data for inorganic materials — supports ML for sensor and actuator material design.Electromechanical PropertiesExplore
Pumpluminary-shiftCFD simulations of centrifugal pumps spanning operating conditions — for training ML surrogates of turbomachinery flow and performance.Turbomachinery CFDExplore
rayleigh_benardpolymathic-aiRayleigh–Bénard thermal convection simulations at varying Rayleigh and Prandtl numbers for benchmarking turbulence and heat transfer models.Physics SimulationExplore
SARLO-80ONERA119K paired SAR/optical images with text captions at 80cm resolution for multimodal learning.Remote SensingExplore
SHIFT-Crashluminary-shiftVehicle crash-simulation dataset capturing structural deformation under impact — for ML-based safety and structural-mechanics modelling.Crash SimulationExplore
steel_strength_v1-1foundry-mlSteel strength dataset — composition-property pairs for ML-based alloy design and high-strength materials.Alloy Mechanical PropertiesExplore
Submarineluminary-shiftSubmarine hydrodynamics CFD dataset — submerged-body flow simulations for ML-based marine engineering and naval design.Marine CFDExplore
SUVluminary-shiftLarge-scale CFD dataset of SUV-class vehicles for training ML models on automotive aerodynamics — surface pressures, wake structures, and aerodynamic performance metrics.Automotive CFDExplore
WINGluminary-shiftWing-flow CFD dataset for ML-driven aerodynamics — covers a range of geometries and flight conditions for surrogate modelling.Aerospace CFDExplore
Zero-To-CAD-100kADSKAILabCurated 100K-example subset of Zero-To-CAD — useful for benchmarking and lightweight fine-tuning of CAD-from-image models.CAD Vision-Language CorpusExplore
Zero-To-CAD-1mADSKAILab1M paired image-and-CAD-program examples for training vision-language models that synthesise parametric CAD from images.CAD Vision-Language CorpusExplore
Aion Basepolymathic-aiMulti-domain scientific foundation model.Foundation ModelBrowse
Make-A-Shape · multi-view 20MADSKAILabMake-A-Shape multi-view variant — generates 3D geometry from multiple 2D image perspectives for higher-fidelity CAD reconstruction.3D Shape GenerationBrowse

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