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Dataset sync from nutonic build

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  1. README.md +42 -0
  2. data/test.jsonl +0 -0
  3. data/train.jsonl +0 -0
  4. data/validation.jsonl +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - image-text-to-text
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+ language:
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+ - en
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+ tags:
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+ - satellite
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+ - land-cover
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+ - lfm-vl
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+ - geospatial
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+ pretty_name: NU-TONIC raw SFT init (satellite imagery + land-cover labels)
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+ ---
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+
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+ # NU-TONIC raw SFT init
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+
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+ **Satellite imagery** and aligned **land-cover** outputs packaged as **image–text** rows for fine-tuning LFM-VL (leap-finetune `vlm_sft` format). JSONL user prompts name the modality (satellite imagery vs. overhead context) where it matters.
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+
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+ ## Provenance
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+
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+ - **Locations:** GeoGuessr-style POIs (default HF source: `stochastic/random_streetview_images_pano_v0.0.2`) via `download_geoguessr_poi_imagery.py`.
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+ - **Optical:** multispectral optical COGs from a public STAC catalog, **blue/green/red** or **visual** preview, percentile-stretched to uint8.
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+ - **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.
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+ - **Context:** optional geographic overhead still per POI (token-based static map API) under `mapbox_stills/`.
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+ - **Rows:** global caption + grounding per tile of satellite imagery, plus **per–land-cover-class** caption (and optional grounding) when a class exceeds `--min-class-fraction`.
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+ - **Downstream format:** `messages[]` with `image` + text, aligned with `refs/satellite-vlm` / VRSBench converter conventions.
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+
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+ ## Layout
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+
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+ - `images/*.png` — RGB chips (downsampled, e.g. 224×224).
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+ - `overlays/*.png` — optional bbox visualization per JSONL row (``--write-bbox-overlays``).
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+ - `mapbox_stills/*.png` — overhead context still per POI (when API token set).
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+ - `data/train.jsonl`, `data/validation.jsonl`, `data/test.jsonl` — splits hashed by `poi_id`.
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+ - `metadata/*.json` — per-tile sidecars (coordinates, scene id, `land_cover_label_meta` counts/shapes only).
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+
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+ ## Build
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+
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+ See `docs/scripts/SPEC-lfm-vl-sft-dataset.md` and `python data/scripts/build_lfm_vl_sft_dataset.py --help`.
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+
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+ ## Licenses
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+
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+ Respect the **STAC** data provider terms, **Earth Engine** terms for label rasters, the **static map** provider ToS for optional stills, and the **MIT** HF pano dataset license for source coordinates.
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