A preprocessed, downsampled release of HiLiftAeroML (upstream: https://huggingface.co/datasets/nvidia/HiLiftAeroML). Total size is 0.88 TB. Every sample is a float32 point cloud [npoints, ncols] stored as.npy, in a common frame and non-dimensionalization shared across the campaigns of this release. Surface (collated, 7 columns): Volume (volumecollated, 7 columns): Rows within each file are in random order: they were permuted when the files were written. The release keeps the first n // factor rows of each collated sample, which is a uniform random subsample of the mesh points. For the same reason, any contiguous window arr[s:s+k] is a uniform random crop, so np.load(..., mmapmode='r') plus…
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Anthony Zhou
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Models on Hugging Face2
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