OneScience
airfrans
AirfRANS
Dataset Description
AirfRANS is a high-fidelity two-dimensional airfoil CFD dataset introduced in a paper from the NeurIPS 2022 Datasets and Benchmarks Track. The data is intended for surrogate modeling of the incompressible steady-state Reynolds-averaged Navier-Stokes (RANS) equations and contains 1,000 subsonic airfoil simulation cases.
The cases cover NACA four-digit and five-digit airfoils, with Reynolds numbers ranging from 2 million to 6 million and… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/airfrans.AlphaFold3_dataset
AlphaFold3 Dataset
Dataset Description
AlphaFold3_dataset is the companion dataset for the OneScience-Group/AlphaFold3/ model. It includes inference input examples, public search databases, MMseqs databases, sharded Jackhmmer databases, and alignment-related directories. The dataset ID is fixed as OneScience-Group/AlphaFold3_dataset.
Supported Tasks
This dataset supports the AlphaFold3 biomolecular structure prediction workflow. It provides both… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/AlphaFold3_dataset.ShapeNetCar
ShapeNetCar
Dataset Description
The ShapeNetCar dataset comes from the paper Learning Three-dimensional Flow for Interactive Aerodynamic Design by Umetani and Bickel, published in ACM Transactions on Graphics (SIGGRAPH 2018). Based on three-dimensional car geometries from ShapeNet, the dataset uses CFD simulations to obtain velocity fields around the vehicles, surface pressure, and drag coefficients. It supports research on rapidly predicting aerodynamic physical… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/ShapeNetCar.NEP
NEP
Dataset Description
The NEP dataset provides example data for training materials potentials with OneScience-Group/NEP. It includes several materials systems, such as AuAg, Cu, HfO2, and LiSiC, in pwmat/movement, pwmlff/npy, and extxyz formats. The dataset contains atomic coordinates, cell information, energies, and forces for different configurations of these systems. It is intended as a standard benchmark for learning and validating machine-learning interatomic… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/NEP.pdenneval
PDENNEval
Dataset Description
PDENNEval is a comprehensive dataset for evaluating neural-network-based PDE solving methods, introduced in an IJCAI 2024 paper. It covers function learning and operator learning tasks and includes 15 types of PDE problems across multiple scientific domains, including fluids, materials, finance, and electromagnetics.
The dataset consists of 10 PDEBench data files and 6 self-generated data files, totaling approximately 286.9 GB. It can… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/pdenneval.cfd_benchmark
CFD Benchmark
Dataset Description
CFD Benchmark is a comprehensive benchmark dataset for training and evaluating neural PDE solvers. It contains six standard tasks on regular grids, structured grids, and irregular geometries. The dataset was used for unified evaluation in the ICML 2024 paper Transolver, and some of its data originates from the FNO and Geo-FNO works.
The dataset contains six subsets: airfoil, darcy, elasticity, ns, pipe, and plas.
Paper: Transolver:… See the full description on the dataset page: https://huggingface.co/datasets/OneScience-Group/cfd_benchmark.