nasa-ibm-ai4science/Sombench-Ice-Prospectivity-Regression
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-Regression.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face