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img_name
string
Google_location
string
latitude
float64
longitude
float64
hf_idx
int64
Google-17-17_100000_52374.jpg
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Google-17-17_100006_52423.jpg
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Google-17-17_100006_56710.jpg
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Google-17-17_100006_56712.jpg
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Google-17-17_100006_56715.jpg
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Google-17-17_100007_52368.jpg
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Google-17-17_100007_52402.jpg
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Google-17-17_100008_52381.jpg
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Google-17-17_100008_56709.jpg
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Google-17-17_100008_56723.jpg
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Google-17-17_100010_52416.jpg
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Google-17-17_100010_52420.jpg
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Google-17-17_100010_52429.jpg
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Google-17-17_100010_56728.jpg
17_100010_56728
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Google-17-17_100010_56731.jpg
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Google-17-17_100010_56735.jpg
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End of preview. Expand in Data Studio

TerraDiT-data

Derived conditioning artifacts for training and evaluating TerraDiT / TerraDiT-Ω. No imagery is included: tiles come from lcybuaa/Git-10M at revision 29f192b8d2aa28b5d4d8c8d7f0f608cdc61fb52f; every metadata row's hf_idx indexes the train split of that snapshot.

python scripts/download_data.py --data-root data/git10m --family omega

Contents (mirrors the data_root layout the code expects)

path rows / size description
metadata/alpha.json 2.0M img_name, Google_location, latitude, longitude, hf_idx (no Git-10M text; captions are read from your Git-10M copy)
metadata/sigma.json 330k cities subset used for TerraDiT-Σ
metadata/omega.json 2.0M tiles with instance geometry (TerraDiT-Ω)
splits/random/ 14,932 tiles held-out random test split: metadata.json, inst_metadata.npz, range_plus.npz
splits/spatial/ 14,387 tiles geographically held-out test split (same files)
splits/dense/ 3,426 tiles random tiles with >= 15 instances (strict subset)
osm/tag_vocab.pt 1,711 tags OSM "key value" tag -> id
instance_metadata/inst_metadata.npz 2.1 GB per-instance geom_type, point_xy, bbox_xyxy, verts_xy(+ptr), tag_ids(+ptr), per-tile tile_inst_start/end
points.pack 1.2 GB 256x256 OSM tag-id rasters per cities tile (Σ point supervision)
range_plus/omega.npz ~5 GB RANGE+ embeddings [2.0M, 1280] fp16 + locs [N, 2] (lon, lat), row-aligned with metadata/omega.json
range_plus/sigma.npy ~0.9 GB RANGE+ embeddings [330k, 1280] fp16, row-aligned with metadata/sigma.json

Not included: SDXL latents (build with scripts/encode_latents.py) and DINOv3 weights (obtain from Meta).

License and provenance

This dataset is released under the Open Database License (ODbL) 1.0.

  • OpenStreetMap-derived tags, point rasters, and instance geometry (osm/, points.pack, instance_metadata/, splits/*/inst_metadata.npz): contains information from OpenStreetMap, made available under ODbL, © OpenStreetMap contributors (https://www.openstreetmap.org/copyright).
  • Metadata (metadata/, splits/*/metadata.json): tile identifiers, tile-corner coordinates (a function of the tile index), and row indices into the pinned Git-10M snapshot. No Git-10M captions or statistics are redistributed; Git-10M itself is CC-BY-NC-ND-4.0 and must be obtained from its authors' repo.
  • RANGE+ embeddings (range_plus/, splits/*/range_plus.npz): computed from tile coordinates with RANGE (SatCLIP + RANGE database).

Citation

See MVRL/TerraDiT.

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Collection including MVRL/TerraDiT-data