NU TONIC raw SFT Full Satellite imagery and aligned land cover outputs packaged as image–text rows for fine tuning in SFT format. JSONL user prompts name the modality (satellite imagery vs. overhead context) where it matters. Provenance Locations: GeoGuessr style POIs (source: stochastic/random streetview images pano v0.0.2 ) Optical: Sentinel 2 multispectral optical COGs from a public STAC catalog, blue/green/red or visual preview, percentile stretched to uint8. Labels: per pixel land cover raster from Earth Engine, reprojected to the same 10 m grid as the RGB stack, then tiled and nearest neighbor downsampled with the mask. Context: optional geographic overhead still per POI (token based static map API) under mapbox stills/ . Rows: global caption + grounding per tile of satellite imagery, plus per–land cover class caption . Downstream format: messages[] with image + text, aligned with conventions. Layout images/ .png — RGB chips (downsampled, e.g. 224×224). overlays/ .png — optional bbox visualization per JSONL row ( write bbox overlays ). mapbox stills/ .png — overhead context still per POI (when API token set). data/train.jsonl , data/validation.jsonl , data/test.jsonl — splits…
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