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llingsch/phaedra-tokens

Phaedra token datasets Tokenized versions of three compressible-Euler datasets from the Poseidon / PDEgym collection, produced with the four tokenizers of Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Sciences (NeurIPS 2026): Phaedra, FSQ, VQ-VAE-2 and a continuous autoencoder. They are the inputs of the neural operators and masked autoencoders in the paper. Models: llingsch/phaedra · code: https://github.com/camlab-ethz/Phaedra · project page:… See the full description on the dataset page: https://huggingface.co/datasets/llingsch/phaedra-tokens.

Author / organizationllingsch
License (as declared)cc-by-nc-4.0
Downloads219 (as reported by Hugging Face)
Likes0
Created28 September 2026
Last updated at source28 September 2026
pdetokenizationcompressible-eulerfluid-dynamicsscientific-machine-learning
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