FuXi-CFD-dataset

Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
                  fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
                                                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
                  cls = get_filesystem_class(protocol)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
                  raise ValueError(f"Protocol not known: {protocol}")
              ValueError: Protocol not known: memory
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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FuXi-CFD Dataset

Overview

This dataset accompanies the paper:

Reconstructing fine-scale 3D wind fields with terrain-informed machine learning

It contains large-scale CFD-generated wind field simulations used for training and evaluating the FuXi-CFD model described in the paper.

The dataset includes over 12,000 cases.

Dataset Organization

The dataset is distributed as compressed archive files:

FuXi-CFD-dataset-part01.tar
FuXi-CFD-dataset-part02.tar
...
FuXi-CFD-dataset-part13.tar

Each case follows the structure:

case_000001/
inputs.npz
outputs.npz

Inputs (inputs.npz)

The inputs.npz file contains four variables:

dem

Shape: (300, 300)
Unit: meters (m)
Horizontal resolution: 30 m

Digital Elevation Model (DEM) representing terrain elevation.

roughness

Shape: (300, 300)
Unit: meters (m)
Horizontal resolution: 30 m

Surface roughness length (z₀) map representing aerodynamic terrain roughness.

u_100m

Shape: (9, 9)
Unit: m s⁻¹
Horizontal resolution: approximately 1 km

Coarse-resolution zonal wind component at 100 m height.

v_100m

Shape: (9, 9)
Unit: m s⁻¹
Horizontal resolution: approximately 1 km

Coarse-resolution meridional wind component at 100 m height.

Outputs (outputs.npz)

The outputs.npz file contains four high-resolution 3D variables.

All output variables have shape:

(27, 300, 300)

where:

27 corresponds to the number of vertical levels (in meters above ground level).
300 × 300 corresponds to 30 m horizontal resolution

The 27 vertical levels are:

5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100,
106.5, 114.95, 125.94, 140.22, 158.78, 182.91, 214.29

u

Unit: m s⁻¹

Zonal wind component (east–west).

v

Unit: m s⁻¹

Meridional wind component (north–south).

w

Unit: m s⁻¹

Vertical wind component.

k

Unit: m² s⁻²

Turbulent kinetic energy (TKE).

Resolution Summary

Variable	Horizontal Resolution	Vertical Levels
dem	30 m	—
roughness	30 m	—
u_100m, v_100m	1 km	single level
u, v, w, k	30 m	27 levels

Data Split

The dataset is provided as a single collection without predefined splits.

The official train/validation/test split used in the paper can be found in the associated publication.

Users are free to define custom splits for their own applications.

License

CC BY-NC 4.0

Citation

If you use this dataset, please cite:

Lin, C., et al. Reconstructing fine-scale 3D wind fields with terrain-informed machine learning, Nature Communications (2026).

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Total file size:

253 GB