README.md

---
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's `us_trees` is CC-BY-NC-4.0 and
  `canada_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 |