Dataset · Hugging Face

sir-anon/ThousandWorlds

Name: ThousandWorlds
Creator: sir-anon
License: cc-by-4.0
Keywords: task_categories:tabular-regression, task_categories:other, license:cc-by-4.0, size_categories:1K<n<10K, format:csv, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, benchmark, datasets, physical-sciences

ThousandWorlds ThousandWorlds is a benchmark for emulating exoplanet climates: 1689 simulations across 5 GCMs, 8 planet parameters, and atmospheric variables on a 32 x 64 x 10 latitude-longitude-pressure grid. It includes three nested benchmark subsets, two evaluation protocols, and ten released baseline methods. Inputs are 8 continuous planet parameters plus the source GCM label. Outputs are time-averaged climate fields on a 32 x 64 latitude-longitude grid: three-dimensional… See the full description on the dataset page: https://huggingface.co/datasets/sir-anon/ThousandWorlds.

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Author / organization	sir-anon
License (as declared)	cc-by-4.0
Downloads	140 (as reported by Hugging Face)
Likes	0
Created	18 September 2026
Last updated at source	18 September 2026

benchmarkdatasetsphysical-sciencesscientific-machine-learningexoplanetsclimateastronomyemulationsimulationphysicspdeparameter-to-field-regressionstructured-outputsmulti-simulator-transferspatiotemporal

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