Datasets:

es833
/

ThousandWorlds

Tasks:

Tabular Regression

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Tags:

physical-sciences

scientific-machine-learning

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es833 commited on Jul 17

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@@ -39,7 +39,7 @@ variables on a 32 x 64 x 10 latitude-longitude-pressure grid. It includes three
 nested benchmark subsets, two evaluation protocols, and eight released baseline
 methods.
-[![Code](https://img.shields.io/badge/code-GitHub-181717.svg?logo=github)](https://github.com/edstevenson/ThousandWorlds)
 [![arXiv](https://img.shields.io/badge/arXiv-2606.18338-b31b1b.svg)](https://arxiv.org/abs/2606.18338)
 Inputs are 8 continuous planet parameters plus the source GCM label. Outputs

 nested benchmark subsets, two evaluation protocols, and eight released baseline
 methods.
+[![Code](https://img.shields.io/badge/code-GitHub-181717.svg?logo=github)](https://github.com/astroautomata/ThousandWorlds)
 [![arXiv](https://img.shields.io/badge/arXiv-2606.18338-b31b1b.svg)](https://arxiv.org/abs/2606.18338)
 Inputs are 8 continuous planet parameters plus the source GCM label. Outputs