Dataset · Hugging Face

nasa-ibm-ai4science/Sombench-Ice-Prospectivity-Regression

Name: Sombench-Ice-Prospectivity-Regression
Creator: nasa-ibm-ai4science
License: cc-by-4.0
Keywords: task_categories:tabular-regression, license:cc-by-4.0, size_categories:n<1K, format:text, modality:image, modality:text, modality:geospatial, library:datasets, library:mlcroissant, region:us, lunar, planetary-science, remote-sensing, regression, water-ice

SomBench Benchmark: Polar Ice Prospectivity Regression Science theme: Polar volatiles Task: Regression Dataset Summary A polar, multi-layer benchmark for predicting near-surface water-ice prospectivity within ~10° latitude of each pole at 240 m/pixel. Following the ice-prospectivity workflow of Coyan et al. (2025), the dataset includes a group of physically motivated evidential layers (thermophysical, illumination, and terrain) alongside a continuous prospectivity… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-Ice-Prospectivity-Regre

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Author / organization	nasa-ibm-ai4science
License (as declared)	cc-by-4.0
Downloads	2.2K (as reported by Hugging Face)
Likes	0
Created	31 August 2026
Last updated at source	9 September 2026

lunarplanetary-scienceremote-sensingregressionwater-icepolargeotiff

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