license: other
license_name: mixed-per-config
license_link: >-
https://huggingface.co/datasets/taylor-geospatial/coordbench/blob/main/README.md#license
tags:
- geospatial
- location-encoder
- remote-sensing
configs:
- config_name: air_temp
data_files: data/air_temp/data.parquet
- config_name: bt_bioclim
data_files: data/bt_bioclim/data.parquet
- config_name: bt_biomass
data_files: data/bt_biomass/data.parquet
- config_name: bt_cropharvest
data_files: data/bt_cropharvest/data.parquet
- config_name: bt_human_footprint
data_files: data/bt_human_footprint/data.parquet
- config_name: bt_landcover
data_files: data/bt_landcover/data.parquet
- config_name: california_housing
data_files: data/california_housing/data.parquet
- config_name: cdc_places
data_files: data/cdc_places/data.parquet
- config_name: dm_africa_crop_mask
data_files: data/dm_africa_crop_mask/data.parquet
- config_name: dm_aster_ged
data_files: data/dm_aster_ged/data.parquet
- config_name: dm_canada_crops_coarse
data_files: data/dm_canada_crops_coarse/data.parquet
- config_name: dm_canada_crops_fine
data_files: data/dm_canada_crops_fine/data.parquet
- config_name: dm_descals
data_files: data/dm_descals/data.parquet
- config_name: dm_ethiopia_crops
data_files: data/dm_ethiopia_crops/data.parquet
- config_name: dm_glance
data_files: data/dm_glance/data.parquet
- config_name: dm_lcmap_lc
data_files: data/dm_lcmap_lc/data.parquet
- config_name: dm_lcmap_lcc
data_files: data/dm_lcmap_lcc/data.parquet
- config_name: dm_lcmap_lu
data_files: data/dm_lcmap_lu/data.parquet
- config_name: dm_lcmap_luc
data_files: data/dm_lcmap_luc/data.parquet
- config_name: dm_lucas_lc
data_files: data/dm_lucas_lc/data.parquet
- config_name: dm_lucas_lu
data_files: data/dm_lucas_lu/data.parquet
- config_name: dm_openet_ensemble
data_files: data/dm_openet_ensemble/data.parquet
- config_name: dm_us_trees
data_files: data/dm_us_trees/data.parquet
- config_name: ecoregions
data_files: data/ecoregions/data.parquet
- config_name: country
data_files: data/country/data.parquet
- config_name: pdfm_conus27
data_files: data/pdfm_conus27/data.parquet
- config_name: satclip_country
data_files: data/satclip_country/data.parquet
- config_name: satclip_ecoregion
data_files: data/satclip_ecoregion/data.parquet
- config_name: satclip_elevation
data_files: data/satclip_elevation/data.parquet
- config_name: satclip_population
data_files: data/satclip_population/data.parquet
- config_name: soilgrids
data_files: data/soilgrids/data.parquet
- config_name: sustainbench
data_files: data/sustainbench/data.parquet
- config_name: usavars_elevation
data_files: data/usavars_elevation/data.parquet
- config_name: usavars_housing
data_files: data/usavars_housing/data.parquet
- config_name: usavars_income
data_files: data/usavars_income/data.parquet
- config_name: usavars_nightlights
data_files: data/usavars_nightlights/data.parquet
- config_name: usavars_population
data_files: data/usavars_population/data.parquet
- config_name: usavars_roads
data_files: data/usavars_roads/data.parquet
- config_name: usavars_treecover
data_files: data/usavars_treecover/data.parquet
- config_name: worldclim_bio
data_files: data/worldclim_bio/data.parquet
CoordBench
A unified benchmark suite for evaluating location encoders (SatCLIP, GeoCLIP, Climplicit, MIND, and similar coordinate -> embedding models), consolidating 40 evaluation tables from 13 source families that previously lived scattered across GitHub raw, figshare, GCS, Socrata, Zenodo, and Google Drive.
Schema
Every config's data.parquet carries these columns up front:
| column | type | notes |
|---|---|---|
lon, lat |
float64 | WGS84, always non-null |
timestamp |
int64 (nullable) | unix ms, UTC; null when the source has no per-point time |
timestamp_end |
int64 (nullable) | end of the valid-time window, when the source defines one (only dm_*) |
split |
string (nullable) | an official train/val/test partition from the SOURCE; null when there isn't one |
id |
string (nullable) | source-native row identifier, when one exists |
...followed by every original source column, verbatim (original name, original value, no transform, no dropped rows). Nodata sentinels (-999, -1, ocean index 0) and untransformed values (no log1p) are preserved as-is -- probe-time preprocessing is left to the consumer.
One config per original source file/table, not per label task -- e.g. sustainbench's 6 DHS
indices and cdc_places's 12 health measures are each one config, since they're one shared source
table.
A raw/ folder alongside data/ holds byte-verbatim, unmodified copies of the original source
files (no schema mapping at all), for full provenance.
License
No single license applies to the whole repo. Most configs are CC-BY-4.0/CC-BY-SA-4.0/public
domain, but a few carry real redistribution caveats -- see the status column below:
clear-- no redistribution caveat found.needs_verification-- no explicit restriction found, but not fully confirmed with the source.unresolved_risk-- an explicit redistribution restriction was found (WorldClim's terms forbid redistribution without permission; DHS Program-derived SustainBench indices have unconfirmed redistribution terms; deepmind_eval'sus_treesis CC-BY-NC-4.0 andcanada_crops_*is Open Government Licence - Canada, not the suite's default CC-BY-4.0). Included here for research convenience; check the original source's terms before commercial use.
| config | task | license | status | source |
|---|---|---|---|---|
air_temp |
regression | figshare-hosted (Hooker et al. 2018); not explicitly confirmed | needs_verification | https://api.figshare.com/v2/file/download/12609182 |
bt_bioclim |
regression | CC-BY-SA-4.0 (data); MIT (code) | clear | https://github.com/vdplasthijs/better_together |
bt_biomass |
regression | CC-BY-SA-4.0 (data); MIT (code) | clear | https://github.com/vdplasthijs/better_together |
bt_cropharvest |
classification | CC-BY-SA-4.0 (data); MIT (code) | clear | https://github.com/vdplasthijs/better_together |
bt_human_footprint |
regression | CC-BY-SA-4.0 (data); MIT (code) | clear | https://github.com/vdplasthijs/better_together |
bt_landcover |
regression | CC-BY-SA-4.0 (data); MIT (code) | clear | https://github.com/vdplasthijs/better_together |
california_housing |
regression | public domain (StatLib) | clear | sklearn.datasets.fetch_california_housing (StatLib, Pace & Barry 1997) |
cdc_places |
regression | US federal government work / CDC Open Data (Socrata) - public | clear | https://data.cdc.gov/resource/c7b2-4ecy.csv?$limit=60000 |
dm_africa_crop_mask |
classification | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_aster_ged |
regression | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_canada_crops_coarse |
classification | Open Government Licence - Canada | unresolved_risk | https://zenodo.org/records/16585402 |
dm_canada_crops_fine |
classification | Open Government Licence - Canada | unresolved_risk | https://zenodo.org/records/16585402 |
dm_descals |
classification | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_ethiopia_crops |
classification | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_glance |
classification | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_lcmap_lc |
classification | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_lcmap_lcc |
classification | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_lcmap_lu |
classification | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_lcmap_luc |
classification | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_lucas_lc |
classification | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_lucas_lu |
classification | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_openet_ensemble |
regression | CC-BY-4.0 | clear | https://zenodo.org/records/16585402 |
dm_us_trees |
classification | CC-BY-NC-4.0 (iNaturalist) | unresolved_risk | https://zenodo.org/records/16585402 |
ecoregions |
classification | CC-BY-4.0 | clear | https://storage.googleapis.com/teow2016/Ecoregions2017.zip |
country |
classification | public domain | clear | https://raw.githubusercontent.com/nvkelso/natural-earth-vector/master/geojson/ne_110m_admin_0_countries.geojson |
pdfm_conus27 |
regression | Apache-2.0 (repo); data file itself not explicitly cleared | needs_verification | https://raw.githubusercontent.com/google-research/population-dynamics/master/data/benchmarks/conus27.csv |
satclip_country |
classification | unspecified (Google Drive share, github.com/microsoft/satclip issue #6) | needs_verification | https://drive.google.com/drive/folders/1tI2qo6iioRrv3P1OxSXwHKObpLCrinad |
satclip_ecoregion |
classification | unspecified (Google Drive share, github.com/microsoft/satclip issue #6) | needs_verification | https://drive.google.com/drive/folders/1tI2qo6iioRrv3P1OxSXwHKObpLCrinad |
satclip_elevation |
regression | unspecified (Google Drive share, github.com/microsoft/satclip issue #6) | needs_verification | https://drive.google.com/drive/folders/1tI2qo6iioRrv3P1OxSXwHKObpLCrinad |
satclip_population |
regression | unspecified (Google Drive share, github.com/microsoft/satclip issue #6) | needs_verification | https://drive.google.com/drive/folders/1tI2qo6iioRrv3P1OxSXwHKObpLCrinad |
soilgrids |
regression | CC-BY-4.0 | clear | https://files.isric.org/soilgrids/latest/data/{prop}/{prop}_0-5cm_mean.vrt |
sustainbench |
regression | DHS Program-derived indices; redistribution terms not confirmed (dhsprogram.com access-gated) | unresolved_risk | https://api.figshare.com/v2/articles/26026798 (TorchSpatial/LocBench pack) |
usavars_elevation |
regression | CC-BY-4.0 | clear | https://hf.co/datasets/torchgeo/usavars/resolve/01377abfaf50c0cc8548aaafb79533666bbf288f/elevation.csv |
usavars_housing |
regression | CC-BY-4.0 | clear | https://hf.co/datasets/torchgeo/usavars/resolve/01377abfaf50c0cc8548aaafb79533666bbf288f/housing.csv |
usavars_income |
regression | CC-BY-4.0 | clear | https://hf.co/datasets/torchgeo/usavars/resolve/01377abfaf50c0cc8548aaafb79533666bbf288f/income.csv |
usavars_nightlights |
regression | CC-BY-4.0 | clear | https://hf.co/datasets/torchgeo/usavars/resolve/01377abfaf50c0cc8548aaafb79533666bbf288f/nightlights.csv |
usavars_population |
regression | CC-BY-4.0 | clear | https://hf.co/datasets/torchgeo/usavars/resolve/01377abfaf50c0cc8548aaafb79533666bbf288f/population.csv |
usavars_roads |
regression | CC-BY-4.0 | clear | https://hf.co/datasets/torchgeo/usavars/resolve/01377abfaf50c0cc8548aaafb79533666bbf288f/roads.csv |
usavars_treecover |
regression | CC-BY-4.0 | clear | https://hf.co/datasets/torchgeo/usavars/resolve/01377abfaf50c0cc8548aaafb79533666bbf288f/treecover.csv |
worldclim_bio |
regression | non-commercial/academic use only; redistribution requires WorldClim's permission | unresolved_risk | https://geodata.ucdavis.edu/climate/worldclim/2_1/base/wc2.1_10m_bio.zip |