Sign inGet started
Dataset · Hugging Face

ayushprd/Moonstone

Moonstone: A Multimodal Foundation Model Benchmark for Lunar Remote Sensing This repository contains the dataset for the paper Moonstone: A Multimodal Foundation Model and Benchmark for Lunar Remote Sensing. The official code is available at GitHub. A 28-channel, 128 pixels-per-degree (~237 m/pixel) global multimodal lunar dataset assembled from seven instrument families across five missions (LRO WAC/LOLA/Diviner/Mini-RF, Chandrayaan-1 M3, GRAIL, Lunar Prospector GRS… See the full description on the dataset page: https://huggingface.co/datasets/ayushprd/Moonstone.

Author / organizationayushprd
License (as declared)cc-by-4.0
Downloads430 (as reported by Hugging Face)
Likes0
Created25 June 2026
Last updated at source7 July 2026
lunarmoonremote-sensingmultimodalfoundation-modelplanetary-science
Embed this entry
<iframe src="https://silytics.si/embed/item/b5ed6736-e714-40f4-9d98-16051a5b5d78" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

430 now (-8 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Related papers

More from ayushprd

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.