fno
Datasets
All datasets matching “fno”fno-predictions
PDEBench FNO Re-evaluation: Prediction Tensors
Test-set prediction arrays from The Unrealized Potential of Fourier Neural Operators: A Systematic Re-evaluation of PDEBench Baselines (NeurIPS 2026 E&D Track submission).
File layout
For all standard tests (1-27, 29, plus the three supplementary 2D CFD configurations), each .npz file contains:
preds: model predictions, shape [N_test, spatial_dims..., T, nc]
targets: ground truth, same shape
per_sample: per-sample… See the full description on the dataset page: https://huggingface.co/datasets/pdebench-fno-audit/fno-predictions.dolly-audio-1000h-vietnamese
Dolly-Audio: Vietnamese Multi-Speaker High-Quality Speech Corpus
Dataset Summary
Dolly-Audio is a large-scale, high-quality Vietnamese speech corpus created by the Dolly AI Team.
Inspired by Dolly, the world’s first cloned mammal, the project aims to advance research in Vietnamese speech synthesis, speech recognition, and voice modeling.
This release provides nearly 1,000 hours of professionally cleaned audio, featuring 152 speakers across different Vietnamese regions and… See the full description on the dataset page: https://huggingface.co/datasets/fnooub/dolly-audio-1000h-vietnamese.dataset-rbc-fno
Rayleigh-Benard Convection (RBC) Dataset
This dataset contains Direct Numerical Simulation (DNS) data of Rayleigh-Benard convection in two and three dimensions, generated using Oceananigans.jl. It accompanies the paper Fourier neural operators as data-driven surrogates for two- and three-dimensional Rayleigh-Benard convection, published in Neurocomputing (2026).
Dataset Description
Rayleigh-Benard Convection describes convection in a fluid layer heated from below and… See the full description on the dataset page: https://huggingface.co/datasets/tmarkmann/dataset-rbc-fno.DA-FNOThis model was trained using the following environment:
Python 3.9
PyTorch 2.2.2
numpy 1.24
CUDA 12.6
comparison: Comparison of the DA-FNO with different theta and Conv-FNO and vanilla FNO models.
final_model: DA-FNO model trained on the entire training set.
dataset: The first 200 samples in the training set.
spectrum_2700: Average spectrum of the training set.
navier-stokes-2d-fno
Navier-Stokes 2D (ν = 1e-3)
Simulations of the 2D Navier-Stokes equation for a viscous, incompressible fluid in
vorticity form on the unit torus, following the Fourier Neural Operator (FNO) benchmark
of Li et al. (2021).
Each sample is the time evolution of the vorticity field w(x, y, t) on a periodic
64 × 64 grid over 20 time steps.
Intended use: this dataset is meant to be used for both training and testing /
evaluation of neural operators and PDE surrogate models. It is… See the full description on the dataset page: https://huggingface.co/datasets/abelsr1710/navier-stokes-2d-fno.muTransfer-FNO-data
muTransfer-FNO Dataset
Benchmark datasets for Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators (ICML 2025).
Code: https://github.com/LithiumDA/muTransfer-FNO
Contains data for three PDE problems: Navier-Stokes, Burgers' equation, and Darcy Flow.
File Structure
├── ns/
│ ├── get_full_data.py # Script to combine NS parts
│ ├── ns_part_01.npy # Navier-Stokes samples 0–99
│ ├── ns_part_02.npy… See the full description on the dataset page: https://huggingface.co/datasets/LDA1020/muTransfer-FNO-data.