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metadata
license: apache-2.0
task_categories:
  - image-text-to-text
language:
  - en
tags:
  - satellite
  - land-cover
  - lfm-vl
  - geospatial
  - sat
  - earth
  - observation
  - land
  - sft
  - sentinel
  - mapbox
  - terra
pretty_name: NU-TONIC raw SFT Full
size_categories:
  - 1M<n<10M

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 hashed by poi_id.
  • metadata/*.json — per-tile sidecars (coordinates, scene id, land_cover_label_meta counts/shapes only).

Licenses

Respect the STAC data provider terms, Earth Engine terms for label rasters, the MapBox ToS for optional stills, and the MIT HF pano dataset license for source coordinates.


Hub layout (sharded)

  • This snapshot was processed so that images/, mapbox_stills/, overlays/, and metadata/ use at most 8000 files per leaf directory (Hub git limit: 10k files per directory). JSONL paths may include sNNNNN/ shard segments where needed.