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UrbanFlow-oneObstacle-NoTrip

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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/hdf5/hdf5.py", line 49, in _split_generators
                  import h5py
              ModuleNotFoundError: No module named 'h5py'
              
              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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UrbanFlow-oneObstacle-NoTrip

3D and 2D velocity field data from a Nek5000 spectral-element CFD simulation of urban flow past a single obstacle, without a turbulence trip. Volumes/planes were interpolated from the simulation's spectral-element mesh onto a uniform Cartesian grid in post-processing (postprocess-urbanflow).

Files

`3d/` — full 3D velocity fields (turbulent fluctuations, mean subtracted)

The original Train (T=033-233, 40000 snapshots) and Test (T=233-283, 10000 snapshots) files share identical means/x/y/z and are time-contiguous, so they are combined into one continuous 50000-snapshot sequence and split into 8 shards by snapshot index (Hugging Face caps individual files at 500GB; the combined data is ~2.65TB). Each shard is self-contained.

File	Snapshots	Grid (x, y, z)	Time range	Size
`combined-3d-ds1-fluctuations-snap-00000-06249.h5`	6250	288 x 88 x 88	T = 33.00-64.24	~335 GB
`combined-3d-ds1-fluctuations-snap-06250-12499.h5`	6250	288 x 88 x 88	T = 64.25-95.49	~335 GB
`combined-3d-ds1-fluctuations-snap-12500-18749.h5`	6250	288 x 88 x 88	T = 95.50-126.74	~335 GB
`combined-3d-ds1-fluctuations-snap-18750-24999.h5`	6250	288 x 88 x 88	T = 126.75-157.99	~335 GB
`combined-3d-ds1-fluctuations-snap-25000-31249.h5`	6250	288 x 88 x 88	T = 158.00-189.24	~335 GB
`combined-3d-ds1-fluctuations-snap-31250-37499.h5`	6250	288 x 88 x 88	T = 189.25-220.49	~335 GB
`combined-3d-ds1-fluctuations-snap-37500-43749.h5`	6250	288 x 88 x 88	T = 220.50-251.74	~335 GB
`combined-3d-ds1-fluctuations-snap-43750-49999.h5`	6250	288 x 88 x 88	T = 251.75-272.99	~335 GB

Each shard contains:

U, V, W: velocity fluctuation components, shape (6250, 288, 88, 88), float64
means/U, means/V, means/W: mean velocity fields subtracted to produce the fluctuations, shape (288, 88, 88) (identical across all shards)
x, y, z: grid coordinates (identical across all shards)
t: snapshot timestamps for this shard's range
fluctuations: boolean flag (always True) indicating the mean has been removed

To reconstruct the full sequence, concatenate U/V/W/t across shards 0-7 in order.

`2d/` — 2D velocity midplane (z-index 44) extracted from the same simulation

File	Snapshots	Grid (x, y)	Time range
`2d_plane_z44_T_033_233.h5`	40000	288 x 88	T = 033-233
`2d_plane_z44_T_233_283.h5`	10000	288 x 88	T = 233-283

Each file contains U, V, W velocity components for the extracted midplane (raw, not fluctuations).

Loading the data

See load_example.py for a minimal script that inspects an HDF5 file's structure and reads a slice. Note each 3D shard is ~335 GB — always slice (f["U"][0]), never load a full array (f["U"][:]) into memory.

python load_example.py 2d/2d_plane_z44_T_033_233.h5

Visualization

Side-view animation of the flow field, T = 033-233 (downsampled, ds_ratio=1):

Source

Generated from Nek5000 simulations in the UrbanFlow_oneObstacleNOTRIP project (data-gen-obstacleNOTRIP: single obstacle, no turbulence trip) and post-processed with postprocess-urbanflow.

Code

Simulation and post-processing code, plus visualizations, will be released in a companion GitHub repository (coming soon — link will be added here).

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Total file size:

2.71 TB